2022/08/03 09:05:33 - mmengine - INFO - load model from: https://download.pytorch.org/models/resnet50-11ad3fa6.pth 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.g.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.g.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.conv_out 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.bn_out 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.theta 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.theta 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.phi.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.phi.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.g.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.g.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.conv_out 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.bn_out 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.theta 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.theta 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.phi.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.phi.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.g.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.g.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.conv_out 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.bn_out 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.theta 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.theta 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.phi.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.phi.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.g.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.g.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.conv_out 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.bn_out 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.theta 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.theta 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.phi.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.phi.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.g.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.g.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.conv_out 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.bn_out 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.theta 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.theta 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.phi.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.phi.0 2022/08/03 09:05:35 - mmengine - INFO - These parameters in the 2d checkpoint are not loaded: {'fc.bias', 'fc.weight'} 2022/08/03 09:05:35 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb by HardDiskBackend. 2022/08/03 09:07:29 - mmengine - INFO - Epoch(train) [1][20/1879] lr: 1.0000e-03 eta: 31 days, 18:09:04 time: 5.7042 data_time: 3.2738 memory: 54709 grad_norm: 1.4430 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.9967 loss: 5.9967 2022/08/03 09:07:38 - mmengine - INFO - Epoch(train) [1][40/1879] lr: 1.0000e-03 eta: 17 days, 1:43:20 time: 0.4291 data_time: 0.0197 memory: 17087 grad_norm: 1.3785 top1_acc: 0.0625 top5_acc: 0.0625 loss_cls: 5.9888 loss: 5.9888 2022/08/03 09:07:46 - mmengine - INFO - Epoch(train) [1][60/1879] lr: 1.0000e-03 eta: 12 days, 3:55:12 time: 0.4218 data_time: 0.0102 memory: 17087 grad_norm: 1.3713 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9855 loss: 5.9855 2022/08/03 09:07:55 - mmengine - INFO - Epoch(train) [1][80/1879] lr: 1.0000e-03 eta: 9 days, 17:41:44 time: 0.4421 data_time: 0.0167 memory: 17087 grad_norm: 1.3441 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9743 loss: 5.9743 2022/08/03 09:08:04 - mmengine - INFO - Epoch(train) [1][100/1879] lr: 1.0000e-03 eta: 8 days, 6:25:21 time: 0.4294 data_time: 0.0151 memory: 17087 grad_norm: 1.3537 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9576 loss: 5.9576 2022/08/03 09:08:12 - mmengine - INFO - Epoch(train) [1][120/1879] lr: 1.0000e-03 eta: 7 days, 6:45:38 time: 0.4229 data_time: 0.0147 memory: 17087 grad_norm: 1.3746 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.9653 loss: 5.9653 2022/08/03 09:08:21 - mmengine - INFO - Epoch(train) [1][140/1879] lr: 1.0000e-03 eta: 6 days, 14:05:35 time: 0.4352 data_time: 0.0136 memory: 17087 grad_norm: 1.3977 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9642 loss: 5.9642 2022/08/03 09:08:30 - mmengine - INFO - Epoch(train) [1][160/1879] lr: 1.0000e-03 eta: 6 days, 1:31:06 time: 0.4308 data_time: 0.0142 memory: 17087 grad_norm: 1.4500 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9633 loss: 5.9633 2022/08/03 09:08:38 - mmengine - INFO - Epoch(train) [1][180/1879] lr: 1.0000e-03 eta: 5 days, 15:39:45 time: 0.4257 data_time: 0.0165 memory: 17087 grad_norm: 1.4874 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.9596 loss: 5.9596 2022/08/03 09:08:47 - mmengine - INFO - Epoch(train) [1][200/1879] lr: 1.0000e-03 eta: 5 days, 7:42:59 time: 0.4212 data_time: 0.0156 memory: 17087 grad_norm: 1.5648 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9426 loss: 5.9426 2022/08/03 09:08:55 - mmengine - INFO - Epoch(train) [1][220/1879] lr: 1.0000e-03 eta: 5 days, 1:27:27 time: 0.4412 data_time: 0.0138 memory: 17087 grad_norm: 1.6118 top1_acc: 0.0625 top5_acc: 0.0625 loss_cls: 5.9375 loss: 5.9375 2022/08/03 09:09:04 - mmengine - INFO - Epoch(train) [1][240/1879] lr: 1.0000e-03 eta: 4 days, 20:04:06 time: 0.4256 data_time: 0.0177 memory: 17087 grad_norm: 1.6791 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.9336 loss: 5.9336 2022/08/03 09:09:12 - mmengine - INFO - Epoch(train) [1][260/1879] lr: 1.0000e-03 eta: 4 days, 15:27:45 time: 0.4212 data_time: 0.0122 memory: 17087 grad_norm: 1.7329 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9062 loss: 5.9062 2022/08/03 09:09:21 - mmengine - INFO - Epoch(train) [1][280/1879] lr: 1.0000e-03 eta: 4 days, 11:39:46 time: 0.4368 data_time: 0.0150 memory: 17087 grad_norm: 1.7719 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.9123 loss: 5.9123 2022/08/03 09:09:29 - mmengine - INFO - Epoch(train) [1][300/1879] lr: 1.0000e-03 eta: 4 days, 8:12:23 time: 0.4185 data_time: 0.0119 memory: 17087 grad_norm: 1.7981 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8830 loss: 5.8830 2022/08/03 09:09:38 - mmengine - INFO - Epoch(train) [1][320/1879] lr: 1.0000e-03 eta: 4 days, 5:25:25 time: 0.4474 data_time: 0.0172 memory: 17087 grad_norm: 1.8339 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 5.8993 loss: 5.8993 2022/08/03 09:09:47 - mmengine - INFO - Epoch(train) [1][340/1879] lr: 1.0000e-03 eta: 4 days, 2:46:09 time: 0.4221 data_time: 0.0121 memory: 17087 grad_norm: 1.8930 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.8455 loss: 5.8455 2022/08/03 09:09:56 - mmengine - INFO - Epoch(train) [1][360/1879] lr: 1.0000e-03 eta: 4 days, 0:35:35 time: 0.4469 data_time: 0.0178 memory: 17087 grad_norm: 1.9292 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8602 loss: 5.8602 2022/08/03 09:10:04 - mmengine - INFO - Epoch(train) [1][380/1879] lr: 1.0000e-03 eta: 3 days, 22:27:56 time: 0.4213 data_time: 0.0157 memory: 17087 grad_norm: 1.9769 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.8236 loss: 5.8236 2022/08/03 09:10:13 - mmengine - INFO - Epoch(train) [1][400/1879] lr: 1.0000e-03 eta: 3 days, 20:33:24 time: 0.4221 data_time: 0.0156 memory: 17087 grad_norm: 2.0395 top1_acc: 0.0000 top5_acc: 0.1875 loss_cls: 5.7976 loss: 5.7976 2022/08/03 09:10:21 - mmengine - INFO - Epoch(train) [1][420/1879] lr: 1.0000e-03 eta: 3 days, 18:54:07 time: 0.4336 data_time: 0.0121 memory: 17087 grad_norm: 2.0841 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.7804 loss: 5.7804 2022/08/03 09:10:30 - mmengine - INFO - Epoch(train) [1][440/1879] lr: 1.0000e-03 eta: 3 days, 17:21:19 time: 0.4266 data_time: 0.0196 memory: 17087 grad_norm: 2.1206 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.8024 loss: 5.8024 2022/08/03 09:10:38 - mmengine - INFO - Epoch(train) [1][460/1879] lr: 1.0000e-03 eta: 3 days, 15:55:07 time: 0.4225 data_time: 0.0140 memory: 17087 grad_norm: 2.1807 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.7109 loss: 5.7109 2022/08/03 09:10:47 - mmengine - INFO - Epoch(train) [1][480/1879] lr: 1.0000e-03 eta: 3 days, 14:36:26 time: 0.4235 data_time: 0.0146 memory: 17087 grad_norm: 2.2201 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.7460 loss: 5.7460 2022/08/03 09:10:56 - mmengine - INFO - Epoch(train) [1][500/1879] lr: 1.0000e-03 eta: 3 days, 13:29:16 time: 0.4398 data_time: 0.0175 memory: 17087 grad_norm: 2.2827 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 5.7191 loss: 5.7191 2022/08/03 09:11:04 - mmengine - INFO - Epoch(train) [1][520/1879] lr: 1.0000e-03 eta: 3 days, 12:22:21 time: 0.4239 data_time: 0.0167 memory: 17087 grad_norm: 2.3535 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 5.6395 loss: 5.6395 2022/08/03 09:11:12 - mmengine - INFO - Epoch(train) [1][540/1879] lr: 1.0000e-03 eta: 3 days, 11:18:53 time: 0.4189 data_time: 0.0115 memory: 17087 grad_norm: 2.3822 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 5.6662 loss: 5.6662 2022/08/03 09:11:21 - mmengine - INFO - Epoch(train) [1][560/1879] lr: 1.0000e-03 eta: 3 days, 10:21:16 time: 0.4235 data_time: 0.0158 memory: 17087 grad_norm: 2.4257 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.6809 loss: 5.6809 2022/08/03 09:11:29 - mmengine - INFO - Epoch(train) [1][580/1879] lr: 1.0000e-03 eta: 3 days, 9:27:33 time: 0.4233 data_time: 0.0155 memory: 17087 grad_norm: 2.4901 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 5.5958 loss: 5.5958 2022/08/03 09:11:38 - mmengine - INFO - Epoch(train) [1][600/1879] lr: 1.0000e-03 eta: 3 days, 8:40:38 time: 0.4353 data_time: 0.0151 memory: 17087 grad_norm: 2.5432 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.5681 loss: 5.5681 2022/08/03 09:11:46 - mmengine - INFO - Epoch(train) [1][620/1879] lr: 1.0000e-03 eta: 3 days, 7:53:12 time: 0.4217 data_time: 0.0136 memory: 17087 grad_norm: 2.6183 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 5.5303 loss: 5.5303 2022/08/03 09:11:55 - mmengine - INFO - Epoch(train) [1][640/1879] lr: 1.0000e-03 eta: 3 days, 7:08:49 time: 0.4221 data_time: 0.0159 memory: 17087 grad_norm: 2.6549 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.5603 loss: 5.5603 2022/08/03 09:12:03 - mmengine - INFO - Epoch(train) [1][660/1879] lr: 1.0000e-03 eta: 3 days, 6:26:52 time: 0.4210 data_time: 0.0151 memory: 17087 grad_norm: 2.7212 top1_acc: 0.0000 top5_acc: 0.1875 loss_cls: 5.4722 loss: 5.4722 2022/08/03 09:12:12 - mmengine - INFO - Epoch(train) [1][680/1879] lr: 1.0000e-03 eta: 3 days, 5:47:58 time: 0.4236 data_time: 0.0151 memory: 17087 grad_norm: 2.7776 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 5.4517 loss: 5.4517 2022/08/03 09:12:20 - mmengine - INFO - Epoch(train) [1][700/1879] lr: 1.0000e-03 eta: 3 days, 5:10:34 time: 0.4204 data_time: 0.0122 memory: 17087 grad_norm: 2.8249 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 5.4067 loss: 5.4067 2022/08/03 09:12:29 - mmengine - INFO - Epoch(train) [1][720/1879] lr: 1.0000e-03 eta: 3 days, 4:39:24 time: 0.4391 data_time: 0.0180 memory: 17087 grad_norm: 2.8745 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 5.3611 loss: 5.3611 2022/08/03 09:12:38 - mmengine - INFO - Epoch(train) [1][740/1879] lr: 1.0000e-03 eta: 3 days, 4:08:11 time: 0.4311 data_time: 0.0122 memory: 17087 grad_norm: 2.9254 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.3069 loss: 5.3069 2022/08/03 09:12:46 - mmengine - INFO - Epoch(train) [1][760/1879] lr: 1.0000e-03 eta: 3 days, 3:40:43 time: 0.4412 data_time: 0.0161 memory: 17087 grad_norm: 2.9968 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.2751 loss: 5.2751 2022/08/03 09:12:55 - mmengine - INFO - Epoch(train) [1][780/1879] lr: 1.0000e-03 eta: 3 days, 3:10:33 time: 0.4212 data_time: 0.0138 memory: 17087 grad_norm: 3.0599 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.2135 loss: 5.2135 2022/08/03 09:13:03 - mmengine - INFO - Epoch(train) [1][800/1879] lr: 1.0000e-03 eta: 3 days, 2:43:21 time: 0.4286 data_time: 0.0166 memory: 17087 grad_norm: 3.0769 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 5.1961 loss: 5.1961 2022/08/03 09:13:12 - mmengine - INFO - Epoch(train) [1][820/1879] lr: 1.0000e-03 eta: 3 days, 2:19:55 time: 0.4411 data_time: 0.0150 memory: 17087 grad_norm: 3.1432 top1_acc: 0.0625 top5_acc: 0.0625 loss_cls: 5.1873 loss: 5.1873 2022/08/03 09:13:21 - mmengine - INFO - Epoch(train) [1][840/1879] lr: 1.0000e-03 eta: 3 days, 1:54:00 time: 0.4222 data_time: 0.0171 memory: 17087 grad_norm: 3.1801 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.2475 loss: 5.2475 2022/08/03 09:13:29 - mmengine - INFO - Epoch(train) [1][860/1879] lr: 1.0000e-03 eta: 3 days, 1:29:16 time: 0.4222 data_time: 0.0115 memory: 17087 grad_norm: 3.2277 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1306 loss: 5.1306 2022/08/03 09:13:38 - mmengine - INFO - Epoch(train) [1][880/1879] lr: 1.0000e-03 eta: 3 days, 1:05:54 time: 0.4235 data_time: 0.0150 memory: 17087 grad_norm: 3.2720 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 5.0589 loss: 5.0589 2022/08/03 09:13:46 - mmengine - INFO - Epoch(train) [1][900/1879] lr: 1.0000e-03 eta: 3 days, 0:43:37 time: 0.4237 data_time: 0.0133 memory: 17087 grad_norm: 3.3240 top1_acc: 0.1250 top5_acc: 0.1875 loss_cls: 5.0073 loss: 5.0073 2022/08/03 09:13:55 - mmengine - INFO - Epoch(train) [1][920/1879] lr: 1.0000e-03 eta: 3 days, 0:22:04 time: 0.4225 data_time: 0.0137 memory: 17087 grad_norm: 3.3651 top1_acc: 0.0000 top5_acc: 0.1875 loss_cls: 4.9582 loss: 4.9582 2022/08/03 09:14:03 - mmengine - INFO - Epoch(train) [1][940/1879] lr: 1.0000e-03 eta: 3 days, 0:00:57 time: 0.4197 data_time: 0.0116 memory: 17087 grad_norm: 3.4001 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 4.9712 loss: 4.9712 2022/08/03 09:14:12 - mmengine - INFO - Epoch(train) [1][960/1879] lr: 1.0000e-03 eta: 2 days, 23:44:41 time: 0.4435 data_time: 0.0170 memory: 17087 grad_norm: 3.4388 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 5.0148 loss: 5.0148 2022/08/03 09:14:20 - mmengine - INFO - Epoch(train) [1][980/1879] lr: 1.0000e-03 eta: 2 days, 23:25:59 time: 0.4246 data_time: 0.0135 memory: 17087 grad_norm: 3.4923 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 4.9800 loss: 4.9800 2022/08/03 09:14:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 09:14:29 - mmengine - INFO - Epoch(train) [1][1000/1879] lr: 1.0000e-03 eta: 2 days, 23:11:19 time: 0.4452 data_time: 0.0153 memory: 17087 grad_norm: 3.5175 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.8151 loss: 4.8151 2022/08/03 09:14:38 - mmengine - INFO - Epoch(train) [1][1020/1879] lr: 1.0000e-03 eta: 2 days, 22:53:43 time: 0.4228 data_time: 0.0127 memory: 17087 grad_norm: 3.5505 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 4.7972 loss: 4.7972 2022/08/03 09:14:46 - mmengine - INFO - Epoch(train) [1][1040/1879] lr: 1.0000e-03 eta: 2 days, 22:36:58 time: 0.4240 data_time: 0.0151 memory: 17087 grad_norm: 3.6047 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 4.8486 loss: 4.8486 2022/08/03 09:14:55 - mmengine - INFO - Epoch(train) [1][1060/1879] lr: 1.0000e-03 eta: 2 days, 22:20:27 time: 0.4214 data_time: 0.0124 memory: 17087 grad_norm: 3.6288 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 4.7121 loss: 4.7121 2022/08/03 09:15:03 - mmengine - INFO - Epoch(train) [1][1080/1879] lr: 1.0000e-03 eta: 2 days, 22:04:40 time: 0.4222 data_time: 0.0144 memory: 17087 grad_norm: 3.6411 top1_acc: 0.0625 top5_acc: 0.4375 loss_cls: 4.7112 loss: 4.7112 2022/08/03 09:15:11 - mmengine - INFO - Epoch(train) [1][1100/1879] lr: 1.0000e-03 eta: 2 days, 21:49:32 time: 0.4227 data_time: 0.0124 memory: 17087 grad_norm: 3.6717 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.8217 loss: 4.8217 2022/08/03 09:15:20 - mmengine - INFO - Epoch(train) [1][1120/1879] lr: 1.0000e-03 eta: 2 days, 21:34:53 time: 0.4224 data_time: 0.0148 memory: 17087 grad_norm: 3.7115 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 4.7240 loss: 4.7240 2022/08/03 09:15:28 - mmengine - INFO - Epoch(train) [1][1140/1879] lr: 1.0000e-03 eta: 2 days, 21:21:06 time: 0.4250 data_time: 0.0121 memory: 17087 grad_norm: 3.7295 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.6452 loss: 4.6452 2022/08/03 09:15:37 - mmengine - INFO - Epoch(train) [1][1160/1879] lr: 1.0000e-03 eta: 2 days, 21:07:20 time: 0.4217 data_time: 0.0141 memory: 17087 grad_norm: 3.7922 top1_acc: 0.0625 top5_acc: 0.4375 loss_cls: 4.6663 loss: 4.6663 2022/08/03 09:15:46 - mmengine - INFO - Epoch(train) [1][1180/1879] lr: 1.0000e-03 eta: 2 days, 20:57:09 time: 0.4447 data_time: 0.0132 memory: 17087 grad_norm: 3.8141 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 4.5938 loss: 4.5938 2022/08/03 09:15:54 - mmengine - INFO - Epoch(train) [1][1200/1879] lr: 1.0000e-03 eta: 2 days, 20:44:17 time: 0.4220 data_time: 0.0148 memory: 17087 grad_norm: 3.8205 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 4.5311 loss: 4.5311 2022/08/03 09:16:03 - mmengine - INFO - Epoch(train) [1][1220/1879] lr: 1.0000e-03 eta: 2 days, 20:31:51 time: 0.4222 data_time: 0.0130 memory: 17087 grad_norm: 3.8792 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4647 loss: 4.4647 2022/08/03 09:16:11 - mmengine - INFO - Epoch(train) [1][1240/1879] lr: 1.0000e-03 eta: 2 days, 20:20:11 time: 0.4250 data_time: 0.0160 memory: 17087 grad_norm: 3.8993 top1_acc: 0.2500 top5_acc: 0.3125 loss_cls: 4.5069 loss: 4.5069 2022/08/03 09:16:20 - mmengine - INFO - Epoch(train) [1][1260/1879] lr: 1.0000e-03 eta: 2 days, 20:08:25 time: 0.4214 data_time: 0.0125 memory: 17087 grad_norm: 3.9352 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 4.5698 loss: 4.5698 2022/08/03 09:16:28 - mmengine - INFO - Epoch(train) [1][1280/1879] lr: 1.0000e-03 eta: 2 days, 19:57:35 time: 0.4259 data_time: 0.0151 memory: 17087 grad_norm: 3.9410 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 4.5551 loss: 4.5551 2022/08/03 09:16:36 - mmengine - INFO - Epoch(train) [1][1300/1879] lr: 1.0000e-03 eta: 2 days, 19:46:33 time: 0.4217 data_time: 0.0118 memory: 17087 grad_norm: 3.9593 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.4776 loss: 4.4776 2022/08/03 09:16:45 - mmengine - INFO - Epoch(train) [1][1320/1879] lr: 1.0000e-03 eta: 2 days, 19:38:08 time: 0.4405 data_time: 0.0147 memory: 17087 grad_norm: 3.9806 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 4.5755 loss: 4.5755 2022/08/03 09:16:54 - mmengine - INFO - Epoch(train) [1][1340/1879] lr: 1.0000e-03 eta: 2 days, 19:27:34 time: 0.4204 data_time: 0.0131 memory: 17087 grad_norm: 3.9623 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 4.5220 loss: 4.5220 2022/08/03 09:17:02 - mmengine - INFO - Epoch(train) [1][1360/1879] lr: 1.0000e-03 eta: 2 days, 19:17:45 time: 0.4243 data_time: 0.0176 memory: 17087 grad_norm: 4.0107 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 4.4294 loss: 4.4294 2022/08/03 09:17:11 - mmengine - INFO - Epoch(train) [1][1380/1879] lr: 1.0000e-03 eta: 2 days, 19:08:29 time: 0.4266 data_time: 0.0143 memory: 17087 grad_norm: 4.0246 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 4.3899 loss: 4.3899 2022/08/03 09:17:19 - mmengine - INFO - Epoch(train) [1][1400/1879] lr: 1.0000e-03 eta: 2 days, 18:59:19 time: 0.4252 data_time: 0.0155 memory: 17087 grad_norm: 4.0814 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 4.3357 loss: 4.3357 2022/08/03 09:17:28 - mmengine - INFO - Epoch(train) [1][1420/1879] lr: 1.0000e-03 eta: 2 days, 18:50:36 time: 0.4268 data_time: 0.0151 memory: 17087 grad_norm: 4.1004 top1_acc: 0.0625 top5_acc: 0.5000 loss_cls: 4.3073 loss: 4.3073 2022/08/03 09:17:36 - mmengine - INFO - Epoch(train) [1][1440/1879] lr: 1.0000e-03 eta: 2 days, 18:41:33 time: 0.4217 data_time: 0.0155 memory: 17087 grad_norm: 4.1082 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 4.5013 loss: 4.5013 2022/08/03 09:17:45 - mmengine - INFO - Epoch(train) [1][1460/1879] lr: 1.0000e-03 eta: 2 days, 18:34:37 time: 0.4389 data_time: 0.0122 memory: 17087 grad_norm: 4.1919 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 4.4942 loss: 4.4942 2022/08/03 09:17:53 - mmengine - INFO - Epoch(train) [1][1480/1879] lr: 1.0000e-03 eta: 2 days, 18:26:01 time: 0.4217 data_time: 0.0149 memory: 17087 grad_norm: 4.1678 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.3550 loss: 4.3550 2022/08/03 09:18:02 - mmengine - INFO - Epoch(train) [1][1500/1879] lr: 1.0000e-03 eta: 2 days, 18:17:23 time: 0.4192 data_time: 0.0129 memory: 17087 grad_norm: 4.1583 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.2836 loss: 4.2836 2022/08/03 09:18:10 - mmengine - INFO - Epoch(train) [1][1520/1879] lr: 1.0000e-03 eta: 2 days, 18:09:36 time: 0.4253 data_time: 0.0163 memory: 17087 grad_norm: 4.2182 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 4.2570 loss: 4.2570 2022/08/03 09:18:19 - mmengine - INFO - Epoch(train) [1][1540/1879] lr: 1.0000e-03 eta: 2 days, 18:01:46 time: 0.4228 data_time: 0.0126 memory: 17087 grad_norm: 4.1907 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.2097 loss: 4.2097 2022/08/03 09:18:27 - mmengine - INFO - Epoch(train) [1][1560/1879] lr: 1.0000e-03 eta: 2 days, 17:55:34 time: 0.4369 data_time: 0.0146 memory: 17087 grad_norm: 4.1910 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2517 loss: 4.2517 2022/08/03 09:18:36 - mmengine - INFO - Epoch(train) [1][1580/1879] lr: 1.0000e-03 eta: 2 days, 17:48:17 time: 0.4245 data_time: 0.0119 memory: 17087 grad_norm: 4.2786 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.3073 loss: 4.3073 2022/08/03 09:18:44 - mmengine - INFO - Epoch(train) [1][1600/1879] lr: 1.0000e-03 eta: 2 days, 17:41:15 time: 0.4254 data_time: 0.0185 memory: 17087 grad_norm: 4.2605 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 4.1521 loss: 4.1521 2022/08/03 09:18:53 - mmengine - INFO - Epoch(train) [1][1620/1879] lr: 1.0000e-03 eta: 2 days, 17:34:06 time: 0.4223 data_time: 0.0144 memory: 17087 grad_norm: 4.2865 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 4.2115 loss: 4.2115 2022/08/03 09:19:01 - mmengine - INFO - Epoch(train) [1][1640/1879] lr: 1.0000e-03 eta: 2 days, 17:27:38 time: 0.4278 data_time: 0.0147 memory: 17087 grad_norm: 4.2988 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 4.3027 loss: 4.3027 2022/08/03 09:19:10 - mmengine - INFO - Epoch(train) [1][1660/1879] lr: 1.0000e-03 eta: 2 days, 17:20:56 time: 0.4236 data_time: 0.0132 memory: 17087 grad_norm: 4.3296 top1_acc: 0.1875 top5_acc: 0.1875 loss_cls: 4.1515 loss: 4.1515 2022/08/03 09:19:18 - mmengine - INFO - Epoch(train) [1][1680/1879] lr: 1.0000e-03 eta: 2 days, 17:14:18 time: 0.4227 data_time: 0.0146 memory: 17087 grad_norm: 4.2889 top1_acc: 0.2500 top5_acc: 0.3125 loss_cls: 4.1967 loss: 4.1967 2022/08/03 09:19:27 - mmengine - INFO - Epoch(train) [1][1700/1879] lr: 1.0000e-03 eta: 2 days, 17:09:07 time: 0.4366 data_time: 0.0132 memory: 17087 grad_norm: 4.3039 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 4.1399 loss: 4.1399 2022/08/03 09:19:36 - mmengine - INFO - Epoch(train) [1][1720/1879] lr: 1.0000e-03 eta: 2 days, 17:03:12 time: 0.4273 data_time: 0.0152 memory: 17087 grad_norm: 4.3529 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 4.1214 loss: 4.1214 2022/08/03 09:19:44 - mmengine - INFO - Epoch(train) [1][1740/1879] lr: 1.0000e-03 eta: 2 days, 16:58:24 time: 0.4381 data_time: 0.0142 memory: 17087 grad_norm: 4.4051 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 4.1035 loss: 4.1035 2022/08/03 09:19:53 - mmengine - INFO - Epoch(train) [1][1760/1879] lr: 1.0000e-03 eta: 2 days, 16:52:26 time: 0.4241 data_time: 0.0164 memory: 17087 grad_norm: 4.4343 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.0902 loss: 4.0902 2022/08/03 09:20:01 - mmengine - INFO - Epoch(train) [1][1780/1879] lr: 1.0000e-03 eta: 2 days, 16:46:32 time: 0.4234 data_time: 0.0123 memory: 17087 grad_norm: 4.4252 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 4.0873 loss: 4.0873 2022/08/03 09:20:10 - mmengine - INFO - Epoch(train) [1][1800/1879] lr: 1.0000e-03 eta: 2 days, 16:42:36 time: 0.4441 data_time: 0.0169 memory: 17087 grad_norm: 4.4133 top1_acc: 0.1875 top5_acc: 0.1875 loss_cls: 4.1240 loss: 4.1240 2022/08/03 09:20:19 - mmengine - INFO - Epoch(train) [1][1820/1879] lr: 1.0000e-03 eta: 2 days, 16:37:02 time: 0.4246 data_time: 0.0181 memory: 17087 grad_norm: 4.4299 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.9702 loss: 3.9702 2022/08/03 09:20:27 - mmengine - INFO - Epoch(train) [1][1840/1879] lr: 1.0000e-03 eta: 2 days, 16:31:25 time: 0.4225 data_time: 0.0152 memory: 17087 grad_norm: 4.4723 top1_acc: 0.0625 top5_acc: 0.5000 loss_cls: 4.2647 loss: 4.2647 2022/08/03 09:20:36 - mmengine - INFO - Epoch(train) [1][1860/1879] lr: 1.0000e-03 eta: 2 days, 16:26:44 time: 0.4322 data_time: 0.0135 memory: 17087 grad_norm: 4.4893 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0153 loss: 4.0153 2022/08/03 09:21:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 09:21:22 - mmengine - INFO - Epoch(train) [1][1879/1879] lr: 1.0000e-03 eta: 2 days, 16:26:44 time: 2.3111 data_time: 0.0143 memory: 45152 grad_norm: 4.5629 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 4.0254 loss: 4.0254 2022/08/03 09:21:34 - mmengine - INFO - Epoch(train) [2][20/1879] lr: 2.0000e-03 eta: 2 days, 15:56:45 time: 0.5913 data_time: 0.1749 memory: 17087 grad_norm: 4.5094 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 4.0516 loss: 4.0516 2022/08/03 09:21:43 - mmengine - INFO - Epoch(train) [2][40/1879] lr: 2.0000e-03 eta: 2 days, 15:54:05 time: 0.4505 data_time: 0.0157 memory: 17087 grad_norm: 4.5328 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 4.0432 loss: 4.0432 2022/08/03 09:21:51 - mmengine - INFO - Epoch(train) [2][60/1879] lr: 2.0000e-03 eta: 2 days, 15:49:18 time: 0.4239 data_time: 0.0149 memory: 17087 grad_norm: 4.5730 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.8366 loss: 3.8366 2022/08/03 09:22:00 - mmengine - INFO - Epoch(train) [2][80/1879] lr: 2.0000e-03 eta: 2 days, 15:45:49 time: 0.4389 data_time: 0.0162 memory: 17087 grad_norm: 4.5435 top1_acc: 0.0625 top5_acc: 0.4375 loss_cls: 4.0164 loss: 4.0164 2022/08/03 09:22:08 - mmengine - INFO - Epoch(train) [2][100/1879] lr: 2.0000e-03 eta: 2 days, 15:41:03 time: 0.4220 data_time: 0.0134 memory: 17087 grad_norm: 4.6247 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.7969 loss: 3.7969 2022/08/03 09:22:17 - mmengine - INFO - Epoch(train) [2][120/1879] lr: 2.0000e-03 eta: 2 days, 15:37:28 time: 0.4357 data_time: 0.0147 memory: 17087 grad_norm: 4.6777 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.9834 loss: 3.9834 2022/08/03 09:22:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 09:22:25 - mmengine - INFO - Epoch(train) [2][140/1879] lr: 2.0000e-03 eta: 2 days, 15:32:45 time: 0.4205 data_time: 0.0145 memory: 17087 grad_norm: 4.6302 top1_acc: 0.2500 top5_acc: 0.3125 loss_cls: 3.8931 loss: 3.8931 2022/08/03 09:22:34 - mmengine - INFO - Epoch(train) [2][160/1879] lr: 2.0000e-03 eta: 2 days, 15:28:21 time: 0.4235 data_time: 0.0153 memory: 17087 grad_norm: 4.6227 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.5664 loss: 3.5664 2022/08/03 09:22:42 - mmengine - INFO - Epoch(train) [2][180/1879] lr: 2.0000e-03 eta: 2 days, 15:23:59 time: 0.4229 data_time: 0.0130 memory: 17087 grad_norm: 4.7148 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9668 loss: 3.9668 2022/08/03 09:22:51 - mmengine - INFO - Epoch(train) [2][200/1879] lr: 2.0000e-03 eta: 2 days, 15:19:41 time: 0.4224 data_time: 0.0162 memory: 17087 grad_norm: 4.6980 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.0509 loss: 4.0509 2022/08/03 09:23:00 - mmengine - INFO - Epoch(train) [2][220/1879] lr: 2.0000e-03 eta: 2 days, 15:16:43 time: 0.4392 data_time: 0.0128 memory: 17087 grad_norm: 4.7256 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 3.8959 loss: 3.8959 2022/08/03 09:23:08 - mmengine - INFO - Epoch(train) [2][240/1879] lr: 2.0000e-03 eta: 2 days, 15:12:35 time: 0.4229 data_time: 0.0138 memory: 17087 grad_norm: 4.7138 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.7044 loss: 3.7044 2022/08/03 09:23:17 - mmengine - INFO - Epoch(train) [2][260/1879] lr: 2.0000e-03 eta: 2 days, 15:08:29 time: 0.4223 data_time: 0.0143 memory: 17087 grad_norm: 4.7536 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8795 loss: 3.8795 2022/08/03 09:23:25 - mmengine - INFO - Epoch(train) [2][280/1879] lr: 2.0000e-03 eta: 2 days, 15:04:29 time: 0.4228 data_time: 0.0149 memory: 17087 grad_norm: 4.7331 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 4.0387 loss: 4.0387 2022/08/03 09:23:33 - mmengine - INFO - Epoch(train) [2][300/1879] lr: 2.0000e-03 eta: 2 days, 15:00:29 time: 0.4216 data_time: 0.0137 memory: 17087 grad_norm: 4.8069 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6172 loss: 3.6172 2022/08/03 09:23:42 - mmengine - INFO - Epoch(train) [2][320/1879] lr: 2.0000e-03 eta: 2 days, 14:58:00 time: 0.4419 data_time: 0.0160 memory: 17087 grad_norm: 4.7934 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.7466 loss: 3.7466 2022/08/03 09:23:51 - mmengine - INFO - Epoch(train) [2][340/1879] lr: 2.0000e-03 eta: 2 days, 14:54:26 time: 0.4260 data_time: 0.0133 memory: 17087 grad_norm: 4.7731 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7052 loss: 3.7052 2022/08/03 09:24:00 - mmengine - INFO - Epoch(train) [2][360/1879] lr: 2.0000e-03 eta: 2 days, 14:51:56 time: 0.4401 data_time: 0.0165 memory: 17087 grad_norm: 4.8115 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.8063 loss: 3.8063 2022/08/03 09:24:08 - mmengine - INFO - Epoch(train) [2][380/1879] lr: 2.0000e-03 eta: 2 days, 14:48:09 time: 0.4213 data_time: 0.0145 memory: 17087 grad_norm: 4.8635 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 3.7696 loss: 3.7696 2022/08/03 09:24:17 - mmengine - INFO - Epoch(train) [2][400/1879] lr: 2.0000e-03 eta: 2 days, 14:45:37 time: 0.4383 data_time: 0.0170 memory: 17087 grad_norm: 4.9124 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.6724 loss: 3.6724 2022/08/03 09:24:25 - mmengine - INFO - Epoch(train) [2][420/1879] lr: 2.0000e-03 eta: 2 days, 14:42:01 time: 0.4224 data_time: 0.0148 memory: 17087 grad_norm: 4.8631 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.7177 loss: 3.7177 2022/08/03 09:24:34 - mmengine - INFO - Epoch(train) [2][440/1879] lr: 2.0000e-03 eta: 2 days, 14:38:27 time: 0.4219 data_time: 0.0144 memory: 17087 grad_norm: 4.8525 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.6661 loss: 3.6661 2022/08/03 09:24:42 - mmengine - INFO - Epoch(train) [2][460/1879] lr: 2.0000e-03 eta: 2 days, 14:35:07 time: 0.4244 data_time: 0.0158 memory: 17087 grad_norm: 4.8228 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.6526 loss: 3.6526 2022/08/03 09:24:51 - mmengine - INFO - Epoch(train) [2][480/1879] lr: 2.0000e-03 eta: 2 days, 14:31:41 time: 0.4223 data_time: 0.0148 memory: 17087 grad_norm: 4.9429 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.3582 loss: 3.3582 2022/08/03 09:24:59 - mmengine - INFO - Epoch(train) [2][500/1879] lr: 2.0000e-03 eta: 2 days, 14:29:47 time: 0.4442 data_time: 0.0137 memory: 17087 grad_norm: 4.9302 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.7104 loss: 3.7104 2022/08/03 09:25:08 - mmengine - INFO - Epoch(train) [2][520/1879] lr: 2.0000e-03 eta: 2 days, 14:26:27 time: 0.4224 data_time: 0.0163 memory: 17087 grad_norm: 4.9267 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.7432 loss: 3.7432 2022/08/03 09:25:17 - mmengine - INFO - Epoch(train) [2][540/1879] lr: 2.0000e-03 eta: 2 days, 14:24:08 time: 0.4368 data_time: 0.0148 memory: 17087 grad_norm: 4.9223 top1_acc: 0.0625 top5_acc: 0.5000 loss_cls: 3.7434 loss: 3.7434 2022/08/03 09:25:25 - mmengine - INFO - Epoch(train) [2][560/1879] lr: 2.0000e-03 eta: 2 days, 14:20:53 time: 0.4220 data_time: 0.0142 memory: 17087 grad_norm: 5.0013 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.7569 loss: 3.7569 2022/08/03 09:25:34 - mmengine - INFO - Epoch(train) [2][580/1879] lr: 2.0000e-03 eta: 2 days, 14:17:47 time: 0.4238 data_time: 0.0136 memory: 17087 grad_norm: 4.9154 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.5439 loss: 3.5439 2022/08/03 09:25:42 - mmengine - INFO - Epoch(train) [2][600/1879] lr: 2.0000e-03 eta: 2 days, 14:15:18 time: 0.4323 data_time: 0.0146 memory: 17087 grad_norm: 4.9787 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3822 loss: 3.3822 2022/08/03 09:25:51 - mmengine - INFO - Epoch(train) [2][620/1879] lr: 2.0000e-03 eta: 2 days, 14:12:15 time: 0.4231 data_time: 0.0149 memory: 17087 grad_norm: 4.9764 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3899 loss: 3.3899 2022/08/03 09:25:59 - mmengine - INFO - Epoch(train) [2][640/1879] lr: 2.0000e-03 eta: 2 days, 14:09:36 time: 0.4286 data_time: 0.0161 memory: 17087 grad_norm: 4.9889 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5403 loss: 3.5403 2022/08/03 09:26:08 - mmengine - INFO - Epoch(train) [2][660/1879] lr: 2.0000e-03 eta: 2 days, 14:06:38 time: 0.4228 data_time: 0.0131 memory: 17087 grad_norm: 4.9939 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.4313 loss: 3.4313 2022/08/03 09:26:17 - mmengine - INFO - Epoch(train) [2][680/1879] lr: 2.0000e-03 eta: 2 days, 14:04:42 time: 0.4389 data_time: 0.0191 memory: 17087 grad_norm: 4.9918 top1_acc: 0.1250 top5_acc: 0.6875 loss_cls: 3.5661 loss: 3.5661 2022/08/03 09:26:25 - mmengine - INFO - Epoch(train) [2][700/1879] lr: 2.0000e-03 eta: 2 days, 14:01:48 time: 0.4225 data_time: 0.0158 memory: 17087 grad_norm: 4.9898 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7108 loss: 3.7108 2022/08/03 09:26:33 - mmengine - INFO - Epoch(train) [2][720/1879] lr: 2.0000e-03 eta: 2 days, 13:58:54 time: 0.4220 data_time: 0.0142 memory: 17087 grad_norm: 4.9600 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 3.5858 loss: 3.5858 2022/08/03 09:26:42 - mmengine - INFO - Epoch(train) [2][740/1879] lr: 2.0000e-03 eta: 2 days, 13:56:07 time: 0.4234 data_time: 0.0130 memory: 17087 grad_norm: 4.9683 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.3831 loss: 3.3831 2022/08/03 09:26:50 - mmengine - INFO - Epoch(train) [2][760/1879] lr: 2.0000e-03 eta: 2 days, 13:53:24 time: 0.4237 data_time: 0.0150 memory: 17087 grad_norm: 4.9965 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.4285 loss: 3.4285 2022/08/03 09:26:59 - mmengine - INFO - Epoch(train) [2][780/1879] lr: 2.0000e-03 eta: 2 days, 13:51:27 time: 0.4356 data_time: 0.0167 memory: 17087 grad_norm: 5.0043 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 3.7604 loss: 3.7604 2022/08/03 09:27:08 - mmengine - INFO - Epoch(train) [2][800/1879] lr: 2.0000e-03 eta: 2 days, 13:48:48 time: 0.4237 data_time: 0.0160 memory: 17087 grad_norm: 5.0345 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.6557 loss: 3.6557 2022/08/03 09:27:16 - mmengine - INFO - Epoch(train) [2][820/1879] lr: 2.0000e-03 eta: 2 days, 13:47:28 time: 0.4453 data_time: 0.0162 memory: 17087 grad_norm: 5.1083 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4994 loss: 3.4994 2022/08/03 09:27:25 - mmengine - INFO - Epoch(train) [2][840/1879] lr: 2.0000e-03 eta: 2 days, 13:44:52 time: 0.4234 data_time: 0.0139 memory: 17087 grad_norm: 5.0597 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.5031 loss: 3.5031 2022/08/03 09:27:33 - mmengine - INFO - Epoch(train) [2][860/1879] lr: 2.0000e-03 eta: 2 days, 13:42:08 time: 0.4204 data_time: 0.0135 memory: 17087 grad_norm: 5.0526 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.3267 loss: 3.3267 2022/08/03 09:27:42 - mmengine - INFO - Epoch(train) [2][880/1879] lr: 2.0000e-03 eta: 2 days, 13:39:54 time: 0.4286 data_time: 0.0181 memory: 17087 grad_norm: 5.0816 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4014 loss: 3.4014 2022/08/03 09:27:50 - mmengine - INFO - Epoch(train) [2][900/1879] lr: 2.0000e-03 eta: 2 days, 13:37:27 time: 0.4240 data_time: 0.0139 memory: 17087 grad_norm: 5.0342 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.5173 loss: 3.5173 2022/08/03 09:27:59 - mmengine - INFO - Epoch(train) [2][920/1879] lr: 2.0000e-03 eta: 2 days, 13:36:08 time: 0.4434 data_time: 0.0154 memory: 17087 grad_norm: 5.0261 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.3921 loss: 3.3921 2022/08/03 09:28:08 - mmengine - INFO - Epoch(train) [2][940/1879] lr: 2.0000e-03 eta: 2 days, 13:33:56 time: 0.4277 data_time: 0.0134 memory: 17087 grad_norm: 5.0706 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.5487 loss: 3.5487 2022/08/03 09:28:17 - mmengine - INFO - Epoch(train) [2][960/1879] lr: 2.0000e-03 eta: 2 days, 13:32:15 time: 0.4362 data_time: 0.0164 memory: 17087 grad_norm: 5.0719 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3199 loss: 3.3199 2022/08/03 09:28:25 - mmengine - INFO - Epoch(train) [2][980/1879] lr: 2.0000e-03 eta: 2 days, 13:29:48 time: 0.4221 data_time: 0.0140 memory: 17087 grad_norm: 4.9682 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 3.5740 loss: 3.5740 2022/08/03 09:28:33 - mmengine - INFO - Epoch(train) [2][1000/1879] lr: 2.0000e-03 eta: 2 days, 13:27:25 time: 0.4227 data_time: 0.0141 memory: 17087 grad_norm: 5.0939 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.4526 loss: 3.4526 2022/08/03 09:28:42 - mmengine - INFO - Epoch(train) [2][1020/1879] lr: 2.0000e-03 eta: 2 days, 13:25:12 time: 0.4253 data_time: 0.0144 memory: 17087 grad_norm: 5.1415 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 3.4432 loss: 3.4432 2022/08/03 09:28:50 - mmengine - INFO - Epoch(train) [2][1040/1879] lr: 2.0000e-03 eta: 2 days, 13:22:56 time: 0.4237 data_time: 0.0145 memory: 17087 grad_norm: 5.1564 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 3.4100 loss: 3.4100 2022/08/03 09:28:59 - mmengine - INFO - Epoch(train) [2][1060/1879] lr: 2.0000e-03 eta: 2 days, 13:21:37 time: 0.4408 data_time: 0.0165 memory: 17087 grad_norm: 5.1366 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4290 loss: 3.4290 2022/08/03 09:29:08 - mmengine - INFO - Epoch(train) [2][1080/1879] lr: 2.0000e-03 eta: 2 days, 13:19:23 time: 0.4233 data_time: 0.0145 memory: 17087 grad_norm: 5.1241 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2520 loss: 3.2520 2022/08/03 09:29:16 - mmengine - INFO - Epoch(train) [2][1100/1879] lr: 2.0000e-03 eta: 2 days, 13:17:53 time: 0.4367 data_time: 0.0137 memory: 17087 grad_norm: 5.1302 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4804 loss: 3.4804 2022/08/03 09:29:25 - mmengine - INFO - Epoch(train) [2][1120/1879] lr: 2.0000e-03 eta: 2 days, 13:15:53 time: 0.4270 data_time: 0.0154 memory: 17087 grad_norm: 5.0740 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2310 loss: 3.2310 2022/08/03 09:29:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 09:29:34 - mmengine - INFO - Epoch(train) [2][1140/1879] lr: 2.0000e-03 eta: 2 days, 13:16:06 time: 0.4683 data_time: 0.0127 memory: 17087 grad_norm: 5.1613 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.3087 loss: 3.3087 2022/08/03 09:29:43 - mmengine - INFO - Epoch(train) [2][1160/1879] lr: 2.0000e-03 eta: 2 days, 13:14:05 time: 0.4259 data_time: 0.0154 memory: 17087 grad_norm: 5.1671 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 3.3589 loss: 3.3589 2022/08/03 09:29:51 - mmengine - INFO - Epoch(train) [2][1180/1879] lr: 2.0000e-03 eta: 2 days, 13:12:10 time: 0.4273 data_time: 0.0149 memory: 17087 grad_norm: 5.1886 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.4009 loss: 3.4009 2022/08/03 09:30:00 - mmengine - INFO - Epoch(train) [2][1200/1879] lr: 2.0000e-03 eta: 2 days, 13:10:43 time: 0.4359 data_time: 0.0176 memory: 17087 grad_norm: 5.1393 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 3.1405 loss: 3.1405 2022/08/03 09:30:09 - mmengine - INFO - Epoch(train) [2][1220/1879] lr: 2.0000e-03 eta: 2 days, 13:08:54 time: 0.4287 data_time: 0.0131 memory: 17087 grad_norm: 5.1161 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 3.5772 loss: 3.5772 2022/08/03 09:30:17 - mmengine - INFO - Epoch(train) [2][1240/1879] lr: 2.0000e-03 eta: 2 days, 13:07:35 time: 0.4378 data_time: 0.0148 memory: 17087 grad_norm: 5.1344 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.3232 loss: 3.3232 2022/08/03 09:30:26 - mmengine - INFO - Epoch(train) [2][1260/1879] lr: 2.0000e-03 eta: 2 days, 13:05:40 time: 0.4256 data_time: 0.0163 memory: 17087 grad_norm: 5.1406 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.2023 loss: 3.2023 2022/08/03 09:30:34 - mmengine - INFO - Epoch(train) [2][1280/1879] lr: 2.0000e-03 eta: 2 days, 13:03:36 time: 0.4223 data_time: 0.0146 memory: 17087 grad_norm: 5.2479 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 3.1932 loss: 3.1932 2022/08/03 09:30:43 - mmengine - INFO - Epoch(train) [2][1300/1879] lr: 2.0000e-03 eta: 2 days, 13:02:28 time: 0.4405 data_time: 0.0147 memory: 17087 grad_norm: 5.2192 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.5201 loss: 3.5201 2022/08/03 09:30:52 - mmengine - INFO - Epoch(train) [2][1320/1879] lr: 2.0000e-03 eta: 2 days, 13:00:49 time: 0.4297 data_time: 0.0183 memory: 17087 grad_norm: 5.1875 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.3390 loss: 3.3390 2022/08/03 09:31:00 - mmengine - INFO - Epoch(train) [2][1340/1879] lr: 2.0000e-03 eta: 2 days, 12:58:55 time: 0.4246 data_time: 0.0145 memory: 17087 grad_norm: 5.1475 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.3442 loss: 3.3442 2022/08/03 09:31:09 - mmengine - INFO - Epoch(train) [2][1360/1879] lr: 2.0000e-03 eta: 2 days, 12:57:00 time: 0.4235 data_time: 0.0146 memory: 17087 grad_norm: 5.1952 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.3557 loss: 3.3557 2022/08/03 09:31:17 - mmengine - INFO - Epoch(train) [2][1380/1879] lr: 2.0000e-03 eta: 2 days, 12:55:30 time: 0.4316 data_time: 0.0139 memory: 17087 grad_norm: 5.2292 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.4106 loss: 3.4106 2022/08/03 09:31:26 - mmengine - INFO - Epoch(train) [2][1400/1879] lr: 2.0000e-03 eta: 2 days, 12:53:41 time: 0.4247 data_time: 0.0171 memory: 17087 grad_norm: 5.2389 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.2821 loss: 3.2821 2022/08/03 09:31:34 - mmengine - INFO - Epoch(train) [2][1420/1879] lr: 2.0000e-03 eta: 2 days, 12:51:41 time: 0.4208 data_time: 0.0125 memory: 17087 grad_norm: 5.2087 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 3.2016 loss: 3.2016 2022/08/03 09:31:43 - mmengine - INFO - Epoch(train) [2][1440/1879] lr: 2.0000e-03 eta: 2 days, 12:49:53 time: 0.4245 data_time: 0.0157 memory: 17087 grad_norm: 5.1761 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.3221 loss: 3.3221 2022/08/03 09:31:51 - mmengine - INFO - Epoch(train) [2][1460/1879] lr: 2.0000e-03 eta: 2 days, 12:48:01 time: 0.4222 data_time: 0.0145 memory: 17087 grad_norm: 5.2229 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2430 loss: 3.2430 2022/08/03 09:32:00 - mmengine - INFO - Epoch(train) [2][1480/1879] lr: 2.0000e-03 eta: 2 days, 12:46:42 time: 0.4339 data_time: 0.0146 memory: 17087 grad_norm: 5.2654 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.0840 loss: 3.0840 2022/08/03 09:32:08 - mmengine - INFO - Epoch(train) [2][1500/1879] lr: 2.0000e-03 eta: 2 days, 12:45:04 time: 0.4266 data_time: 0.0143 memory: 17087 grad_norm: 5.2071 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2389 loss: 3.2389 2022/08/03 09:32:17 - mmengine - INFO - Epoch(train) [2][1520/1879] lr: 2.0000e-03 eta: 2 days, 12:43:20 time: 0.4242 data_time: 0.0145 memory: 17087 grad_norm: 5.2090 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 3.3251 loss: 3.3251 2022/08/03 09:32:25 - mmengine - INFO - Epoch(train) [2][1540/1879] lr: 2.0000e-03 eta: 2 days, 12:41:37 time: 0.4239 data_time: 0.0142 memory: 17087 grad_norm: 5.3099 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.1903 loss: 3.1903 2022/08/03 09:32:34 - mmengine - INFO - Epoch(train) [2][1560/1879] lr: 2.0000e-03 eta: 2 days, 12:39:52 time: 0.4231 data_time: 0.0149 memory: 17087 grad_norm: 5.2181 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 3.0971 loss: 3.0971 2022/08/03 09:32:43 - mmengine - INFO - Epoch(train) [2][1580/1879] lr: 2.0000e-03 eta: 2 days, 12:38:39 time: 0.4341 data_time: 0.0150 memory: 17087 grad_norm: 5.2429 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.1641 loss: 3.1641 2022/08/03 09:32:51 - mmengine - INFO - Epoch(train) [2][1600/1879] lr: 2.0000e-03 eta: 2 days, 12:37:11 time: 0.4285 data_time: 0.0181 memory: 17087 grad_norm: 5.2459 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.2131 loss: 3.2131 2022/08/03 09:33:00 - mmengine - INFO - Epoch(train) [2][1620/1879] lr: 2.0000e-03 eta: 2 days, 12:35:28 time: 0.4225 data_time: 0.0123 memory: 17087 grad_norm: 5.2865 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2792 loss: 3.2792 2022/08/03 09:33:08 - mmengine - INFO - Epoch(train) [2][1640/1879] lr: 2.0000e-03 eta: 2 days, 12:33:52 time: 0.4249 data_time: 0.0146 memory: 17087 grad_norm: 5.2382 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.9622 loss: 2.9622 2022/08/03 09:33:17 - mmengine - INFO - Epoch(train) [2][1660/1879] lr: 2.0000e-03 eta: 2 days, 12:32:43 time: 0.4346 data_time: 0.0137 memory: 17087 grad_norm: 5.2761 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 3.2520 loss: 3.2520 2022/08/03 09:33:25 - mmengine - INFO - Epoch(train) [2][1680/1879] lr: 2.0000e-03 eta: 2 days, 12:31:05 time: 0.4233 data_time: 0.0154 memory: 17087 grad_norm: 5.2495 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.2101 loss: 3.2101 2022/08/03 09:33:34 - mmengine - INFO - Epoch(train) [2][1700/1879] lr: 2.0000e-03 eta: 2 days, 12:29:28 time: 0.4232 data_time: 0.0119 memory: 17087 grad_norm: 5.3079 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 3.2674 loss: 3.2674 2022/08/03 09:33:42 - mmengine - INFO - Epoch(train) [2][1720/1879] lr: 2.0000e-03 eta: 2 days, 12:27:58 time: 0.4257 data_time: 0.0164 memory: 17087 grad_norm: 5.2874 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2162 loss: 3.2162 2022/08/03 09:33:51 - mmengine - INFO - Epoch(train) [2][1740/1879] lr: 2.0000e-03 eta: 2 days, 12:26:21 time: 0.4224 data_time: 0.0145 memory: 17087 grad_norm: 5.2331 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2022 loss: 3.2022 2022/08/03 09:33:59 - mmengine - INFO - Epoch(train) [2][1760/1879] lr: 2.0000e-03 eta: 2 days, 12:25:21 time: 0.4367 data_time: 0.0153 memory: 17087 grad_norm: 5.2828 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 3.1608 loss: 3.1608 2022/08/03 09:34:08 - mmengine - INFO - Epoch(train) [2][1780/1879] lr: 2.0000e-03 eta: 2 days, 12:23:59 time: 0.4275 data_time: 0.0152 memory: 17087 grad_norm: 5.2603 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.0787 loss: 3.0787 2022/08/03 09:34:17 - mmengine - INFO - Epoch(train) [2][1800/1879] lr: 2.0000e-03 eta: 2 days, 12:23:02 time: 0.4372 data_time: 0.0166 memory: 17087 grad_norm: 5.3014 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.1359 loss: 3.1359 2022/08/03 09:34:25 - mmengine - INFO - Epoch(train) [2][1820/1879] lr: 2.0000e-03 eta: 2 days, 12:21:25 time: 0.4214 data_time: 0.0135 memory: 17087 grad_norm: 5.2835 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.1208 loss: 3.1208 2022/08/03 09:34:34 - mmengine - INFO - Epoch(train) [2][1840/1879] lr: 2.0000e-03 eta: 2 days, 12:20:00 time: 0.4255 data_time: 0.0169 memory: 17087 grad_norm: 5.3389 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2159 loss: 3.2159 2022/08/03 09:34:42 - mmengine - INFO - Epoch(train) [2][1860/1879] lr: 2.0000e-03 eta: 2 days, 12:18:48 time: 0.4303 data_time: 0.0162 memory: 17087 grad_norm: 5.3532 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.0097 loss: 3.0097 2022/08/03 09:34:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 09:34:50 - mmengine - INFO - Epoch(train) [2][1879/1879] lr: 2.0000e-03 eta: 2 days, 12:18:48 time: 0.4053 data_time: 0.0166 memory: 17087 grad_norm: 5.4632 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 3.1447 loss: 3.1447 2022/08/03 09:35:01 - mmengine - INFO - Epoch(train) [3][20/1879] lr: 3.0000e-03 eta: 2 days, 12:04:17 time: 0.5494 data_time: 0.1308 memory: 17087 grad_norm: 5.3201 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 3.1296 loss: 3.1296 2022/08/03 09:35:10 - mmengine - INFO - Epoch(train) [3][40/1879] lr: 3.0000e-03 eta: 2 days, 12:03:33 time: 0.4395 data_time: 0.0172 memory: 17087 grad_norm: 5.3303 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 3.1175 loss: 3.1175 2022/08/03 09:35:18 - mmengine - INFO - Epoch(train) [3][60/1879] lr: 3.0000e-03 eta: 2 days, 12:02:10 time: 0.4234 data_time: 0.0140 memory: 17087 grad_norm: 5.3374 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.3830 loss: 3.3830 2022/08/03 09:35:27 - mmengine - INFO - Epoch(train) [3][80/1879] lr: 3.0000e-03 eta: 2 days, 12:00:54 time: 0.4258 data_time: 0.0155 memory: 17087 grad_norm: 5.3684 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.0031 loss: 3.0031 2022/08/03 09:35:35 - mmengine - INFO - Epoch(train) [3][100/1879] lr: 3.0000e-03 eta: 2 days, 11:59:27 time: 0.4211 data_time: 0.0137 memory: 17087 grad_norm: 5.3889 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.2141 loss: 3.2141 2022/08/03 09:35:44 - mmengine - INFO - Epoch(train) [3][120/1879] lr: 3.0000e-03 eta: 2 days, 11:58:08 time: 0.4242 data_time: 0.0159 memory: 17087 grad_norm: 5.3828 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.1788 loss: 3.1788 2022/08/03 09:35:52 - mmengine - INFO - Epoch(train) [3][140/1879] lr: 3.0000e-03 eta: 2 days, 11:56:48 time: 0.4236 data_time: 0.0144 memory: 17087 grad_norm: 5.3015 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.1311 loss: 3.1311 2022/08/03 09:36:01 - mmengine - INFO - Epoch(train) [3][160/1879] lr: 3.0000e-03 eta: 2 days, 11:56:09 time: 0.4399 data_time: 0.0156 memory: 17087 grad_norm: 5.4443 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.2331 loss: 3.2331 2022/08/03 09:36:09 - mmengine - INFO - Epoch(train) [3][180/1879] lr: 3.0000e-03 eta: 2 days, 11:55:02 time: 0.4285 data_time: 0.0131 memory: 17087 grad_norm: 5.3510 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0101 loss: 3.0101 2022/08/03 09:36:18 - mmengine - INFO - Epoch(train) [3][200/1879] lr: 3.0000e-03 eta: 2 days, 11:53:49 time: 0.4256 data_time: 0.0177 memory: 17087 grad_norm: 5.2687 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2702 loss: 3.2702 2022/08/03 09:36:26 - mmengine - INFO - Epoch(train) [3][220/1879] lr: 3.0000e-03 eta: 2 days, 11:52:32 time: 0.4236 data_time: 0.0148 memory: 17087 grad_norm: 5.3812 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0445 loss: 3.0445 2022/08/03 09:36:35 - mmengine - INFO - Epoch(train) [3][240/1879] lr: 3.0000e-03 eta: 2 days, 11:51:08 time: 0.4203 data_time: 0.0138 memory: 17087 grad_norm: 5.3339 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2503 loss: 3.2503 2022/08/03 09:36:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 09:36:43 - mmengine - INFO - Epoch(train) [3][260/1879] lr: 3.0000e-03 eta: 2 days, 11:49:51 time: 0.4233 data_time: 0.0139 memory: 17087 grad_norm: 5.4189 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.1587 loss: 3.1587 2022/08/03 09:36:52 - mmengine - INFO - Epoch(train) [3][280/1879] lr: 3.0000e-03 eta: 2 days, 11:48:36 time: 0.4236 data_time: 0.0165 memory: 17087 grad_norm: 5.4429 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 3.1991 loss: 3.1991 2022/08/03 09:37:01 - mmengine - INFO - Epoch(train) [3][300/1879] lr: 3.0000e-03 eta: 2 days, 11:48:13 time: 0.4453 data_time: 0.0169 memory: 17087 grad_norm: 5.3981 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 3.2194 loss: 3.2194 2022/08/03 09:37:09 - mmengine - INFO - Epoch(train) [3][320/1879] lr: 3.0000e-03 eta: 2 days, 11:47:08 time: 0.4275 data_time: 0.0201 memory: 17087 grad_norm: 5.4075 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0775 loss: 3.0775 2022/08/03 09:37:18 - mmengine - INFO - Epoch(train) [3][340/1879] lr: 3.0000e-03 eta: 2 days, 11:46:15 time: 0.4325 data_time: 0.0145 memory: 17087 grad_norm: 5.4118 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 3.1072 loss: 3.1072 2022/08/03 09:37:26 - mmengine - INFO - Epoch(train) [3][360/1879] lr: 3.0000e-03 eta: 2 days, 11:45:04 time: 0.4242 data_time: 0.0155 memory: 17087 grad_norm: 5.3580 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.1626 loss: 3.1626 2022/08/03 09:37:35 - mmengine - INFO - Epoch(train) [3][380/1879] lr: 3.0000e-03 eta: 2 days, 11:43:47 time: 0.4217 data_time: 0.0139 memory: 17087 grad_norm: 5.3887 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.0526 loss: 3.0526 2022/08/03 09:37:44 - mmengine - INFO - Epoch(train) [3][400/1879] lr: 3.0000e-03 eta: 2 days, 11:43:05 time: 0.4366 data_time: 0.0138 memory: 17087 grad_norm: 5.4173 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.0826 loss: 3.0826 2022/08/03 09:37:52 - mmengine - INFO - Epoch(train) [3][420/1879] lr: 3.0000e-03 eta: 2 days, 11:42:10 time: 0.4304 data_time: 0.0175 memory: 17087 grad_norm: 5.4420 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 3.0960 loss: 3.0960 2022/08/03 09:38:01 - mmengine - INFO - Epoch(train) [3][440/1879] lr: 3.0000e-03 eta: 2 days, 11:40:57 time: 0.4228 data_time: 0.0146 memory: 17087 grad_norm: 5.3803 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 3.1931 loss: 3.1931 2022/08/03 09:38:09 - mmengine - INFO - Epoch(train) [3][460/1879] lr: 3.0000e-03 eta: 2 days, 11:39:51 time: 0.4251 data_time: 0.0151 memory: 17087 grad_norm: 5.4044 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0991 loss: 3.0991 2022/08/03 09:38:18 - mmengine - INFO - Epoch(train) [3][480/1879] lr: 3.0000e-03 eta: 2 days, 11:38:46 time: 0.4256 data_time: 0.0149 memory: 17087 grad_norm: 5.3848 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 3.2124 loss: 3.2124 2022/08/03 09:38:26 - mmengine - INFO - Epoch(train) [3][500/1879] lr: 3.0000e-03 eta: 2 days, 11:37:34 time: 0.4223 data_time: 0.0134 memory: 17087 grad_norm: 5.4847 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.9620 loss: 2.9620 2022/08/03 09:38:35 - mmengine - INFO - Epoch(train) [3][520/1879] lr: 3.0000e-03 eta: 2 days, 11:36:25 time: 0.4234 data_time: 0.0172 memory: 17087 grad_norm: 5.4941 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.1069 loss: 3.1069 2022/08/03 09:38:43 - mmengine - INFO - Epoch(train) [3][540/1879] lr: 3.0000e-03 eta: 2 days, 11:35:45 time: 0.4362 data_time: 0.0139 memory: 17087 grad_norm: 5.5001 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 3.2018 loss: 3.2018 2022/08/03 09:38:52 - mmengine - INFO - Epoch(train) [3][560/1879] lr: 3.0000e-03 eta: 2 days, 11:34:47 time: 0.4276 data_time: 0.0188 memory: 17087 grad_norm: 5.4400 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0882 loss: 3.0882 2022/08/03 09:39:01 - mmengine - INFO - Epoch(train) [3][580/1879] lr: 3.0000e-03 eta: 2 days, 11:34:05 time: 0.4350 data_time: 0.0160 memory: 17087 grad_norm: 5.4247 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0540 loss: 3.0540 2022/08/03 09:39:09 - mmengine - INFO - Epoch(train) [3][600/1879] lr: 3.0000e-03 eta: 2 days, 11:33:07 time: 0.4274 data_time: 0.0160 memory: 17087 grad_norm: 5.3210 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.9622 loss: 2.9622 2022/08/03 09:39:18 - mmengine - INFO - Epoch(train) [3][620/1879] lr: 3.0000e-03 eta: 2 days, 11:32:25 time: 0.4345 data_time: 0.0122 memory: 17087 grad_norm: 5.4711 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.1193 loss: 3.1193 2022/08/03 09:39:26 - mmengine - INFO - Epoch(train) [3][640/1879] lr: 3.0000e-03 eta: 2 days, 11:31:35 time: 0.4310 data_time: 0.0160 memory: 17087 grad_norm: 5.4321 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.0146 loss: 3.0146 2022/08/03 09:39:35 - mmengine - INFO - Epoch(train) [3][660/1879] lr: 3.0000e-03 eta: 2 days, 11:30:26 time: 0.4215 data_time: 0.0137 memory: 17087 grad_norm: 5.4015 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.9746 loss: 2.9746 2022/08/03 09:39:44 - mmengine - INFO - Epoch(train) [3][680/1879] lr: 3.0000e-03 eta: 2 days, 11:29:48 time: 0.4359 data_time: 0.0166 memory: 17087 grad_norm: 5.4544 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2708 loss: 3.2708 2022/08/03 09:39:52 - mmengine - INFO - Epoch(train) [3][700/1879] lr: 3.0000e-03 eta: 2 days, 11:28:46 time: 0.4247 data_time: 0.0134 memory: 17087 grad_norm: 5.4505 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 3.0209 loss: 3.0209 2022/08/03 09:40:01 - mmengine - INFO - Epoch(train) [3][720/1879] lr: 3.0000e-03 eta: 2 days, 11:28:02 time: 0.4329 data_time: 0.0150 memory: 17087 grad_norm: 5.4941 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.8986 loss: 2.8986 2022/08/03 09:40:09 - mmengine - INFO - Epoch(train) [3][740/1879] lr: 3.0000e-03 eta: 2 days, 11:27:01 time: 0.4250 data_time: 0.0154 memory: 17087 grad_norm: 5.4150 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.8710 loss: 2.8710 2022/08/03 09:40:18 - mmengine - INFO - Epoch(train) [3][760/1879] lr: 3.0000e-03 eta: 2 days, 11:26:24 time: 0.4356 data_time: 0.0150 memory: 17087 grad_norm: 5.3707 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.9668 loss: 2.9668 2022/08/03 09:40:26 - mmengine - INFO - Epoch(train) [3][780/1879] lr: 3.0000e-03 eta: 2 days, 11:25:32 time: 0.4284 data_time: 0.0173 memory: 17087 grad_norm: 5.4261 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.7956 loss: 2.7956 2022/08/03 09:40:35 - mmengine - INFO - Epoch(train) [3][800/1879] lr: 3.0000e-03 eta: 2 days, 11:24:25 time: 0.4213 data_time: 0.0151 memory: 17087 grad_norm: 5.4510 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.7957 loss: 2.7957 2022/08/03 09:40:43 - mmengine - INFO - Epoch(train) [3][820/1879] lr: 3.0000e-03 eta: 2 days, 11:23:26 time: 0.4250 data_time: 0.0118 memory: 17087 grad_norm: 5.5159 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.9674 loss: 2.9674 2022/08/03 09:40:52 - mmengine - INFO - Epoch(train) [3][840/1879] lr: 3.0000e-03 eta: 2 days, 11:22:54 time: 0.4378 data_time: 0.0166 memory: 17087 grad_norm: 5.5113 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.9153 loss: 2.9153 2022/08/03 09:41:01 - mmengine - INFO - Epoch(train) [3][860/1879] lr: 3.0000e-03 eta: 2 days, 11:22:23 time: 0.4380 data_time: 0.0153 memory: 17087 grad_norm: 5.4428 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8859 loss: 2.8859 2022/08/03 09:41:10 - mmengine - INFO - Epoch(train) [3][880/1879] lr: 3.0000e-03 eta: 2 days, 11:21:39 time: 0.4314 data_time: 0.0151 memory: 17087 grad_norm: 5.4866 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.9340 loss: 2.9340 2022/08/03 09:41:18 - mmengine - INFO - Epoch(train) [3][900/1879] lr: 3.0000e-03 eta: 2 days, 11:20:37 time: 0.4228 data_time: 0.0141 memory: 17087 grad_norm: 5.4897 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7586 loss: 2.7586 2022/08/03 09:41:27 - mmengine - INFO - Epoch(train) [3][920/1879] lr: 3.0000e-03 eta: 2 days, 11:19:44 time: 0.4269 data_time: 0.0152 memory: 17087 grad_norm: 5.4434 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6791 loss: 2.6791 2022/08/03 09:41:35 - mmengine - INFO - Epoch(train) [3][940/1879] lr: 3.0000e-03 eta: 2 days, 11:18:44 time: 0.4230 data_time: 0.0165 memory: 17087 grad_norm: 5.4547 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 3.0735 loss: 3.0735 2022/08/03 09:41:44 - mmengine - INFO - Epoch(train) [3][960/1879] lr: 3.0000e-03 eta: 2 days, 11:18:17 time: 0.4395 data_time: 0.0152 memory: 17087 grad_norm: 5.5062 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.9254 loss: 2.9254 2022/08/03 09:41:52 - mmengine - INFO - Epoch(train) [3][980/1879] lr: 3.0000e-03 eta: 2 days, 11:17:29 time: 0.4288 data_time: 0.0136 memory: 17087 grad_norm: 5.5634 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.0667 loss: 3.0667 2022/08/03 09:42:01 - mmengine - INFO - Epoch(train) [3][1000/1879] lr: 3.0000e-03 eta: 2 days, 11:16:38 time: 0.4268 data_time: 0.0178 memory: 17087 grad_norm: 5.4796 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.9201 loss: 2.9201 2022/08/03 09:42:09 - mmengine - INFO - Epoch(train) [3][1020/1879] lr: 3.0000e-03 eta: 2 days, 11:15:38 time: 0.4227 data_time: 0.0143 memory: 17087 grad_norm: 5.4119 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.7637 loss: 2.7637 2022/08/03 09:42:18 - mmengine - INFO - Epoch(train) [3][1040/1879] lr: 3.0000e-03 eta: 2 days, 11:15:18 time: 0.4422 data_time: 0.0172 memory: 17087 grad_norm: 5.5325 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0120 loss: 3.0120 2022/08/03 09:42:27 - mmengine - INFO - Epoch(train) [3][1060/1879] lr: 3.0000e-03 eta: 2 days, 11:14:25 time: 0.4259 data_time: 0.0190 memory: 17087 grad_norm: 5.4742 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0863 loss: 3.0863 2022/08/03 09:42:35 - mmengine - INFO - Epoch(train) [3][1080/1879] lr: 3.0000e-03 eta: 2 days, 11:13:28 time: 0.4231 data_time: 0.0148 memory: 17087 grad_norm: 5.5844 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.9933 loss: 2.9933 2022/08/03 09:42:44 - mmengine - INFO - Epoch(train) [3][1100/1879] lr: 3.0000e-03 eta: 2 days, 11:12:47 time: 0.4318 data_time: 0.0139 memory: 17087 grad_norm: 5.5348 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 3.0035 loss: 3.0035 2022/08/03 09:42:52 - mmengine - INFO - Epoch(train) [3][1120/1879] lr: 3.0000e-03 eta: 2 days, 11:11:54 time: 0.4250 data_time: 0.0159 memory: 17087 grad_norm: 5.5349 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.1483 loss: 3.1483 2022/08/03 09:43:01 - mmengine - INFO - Epoch(train) [3][1140/1879] lr: 3.0000e-03 eta: 2 days, 11:10:56 time: 0.4225 data_time: 0.0135 memory: 17087 grad_norm: 5.5405 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.8682 loss: 2.8682 2022/08/03 09:43:09 - mmengine - INFO - Epoch(train) [3][1160/1879] lr: 3.0000e-03 eta: 2 days, 11:10:01 time: 0.4235 data_time: 0.0151 memory: 17087 grad_norm: 5.4857 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7826 loss: 2.7826 2022/08/03 09:43:18 - mmengine - INFO - Epoch(train) [3][1180/1879] lr: 3.0000e-03 eta: 2 days, 11:09:13 time: 0.4274 data_time: 0.0147 memory: 17087 grad_norm: 5.5599 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9469 loss: 2.9469 2022/08/03 09:43:26 - mmengine - INFO - Epoch(train) [3][1200/1879] lr: 3.0000e-03 eta: 2 days, 11:08:25 time: 0.4268 data_time: 0.0142 memory: 17087 grad_norm: 5.5248 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9227 loss: 2.9227 2022/08/03 09:43:35 - mmengine - INFO - Epoch(train) [3][1220/1879] lr: 3.0000e-03 eta: 2 days, 11:07:30 time: 0.4231 data_time: 0.0138 memory: 17087 grad_norm: 5.6241 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.0644 loss: 3.0644 2022/08/03 09:43:43 - mmengine - INFO - Epoch(train) [3][1240/1879] lr: 3.0000e-03 eta: 2 days, 11:06:59 time: 0.4353 data_time: 0.0174 memory: 17087 grad_norm: 5.5916 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.8749 loss: 2.8749 2022/08/03 09:43:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 09:43:52 - mmengine - INFO - Epoch(train) [3][1260/1879] lr: 3.0000e-03 eta: 2 days, 11:06:15 time: 0.4288 data_time: 0.0174 memory: 17087 grad_norm: 5.5252 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 3.0166 loss: 3.0166 2022/08/03 09:44:01 - mmengine - INFO - Epoch(train) [3][1280/1879] lr: 3.0000e-03 eta: 2 days, 11:06:00 time: 0.4441 data_time: 0.0160 memory: 17087 grad_norm: 5.5460 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.9287 loss: 2.9287 2022/08/03 09:44:10 - mmengine - INFO - Epoch(train) [3][1300/1879] lr: 3.0000e-03 eta: 2 days, 11:05:17 time: 0.4287 data_time: 0.0193 memory: 17087 grad_norm: 5.5486 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.6766 loss: 2.6766 2022/08/03 09:44:18 - mmengine - INFO - Epoch(train) [3][1320/1879] lr: 3.0000e-03 eta: 2 days, 11:04:43 time: 0.4336 data_time: 0.0141 memory: 17087 grad_norm: 5.5766 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.6083 loss: 2.6083 2022/08/03 09:44:27 - mmengine - INFO - Epoch(train) [3][1340/1879] lr: 3.0000e-03 eta: 2 days, 11:03:50 time: 0.4230 data_time: 0.0160 memory: 17087 grad_norm: 5.6264 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.8642 loss: 2.8642 2022/08/03 09:44:35 - mmengine - INFO - Epoch(train) [3][1360/1879] lr: 3.0000e-03 eta: 2 days, 11:02:53 time: 0.4212 data_time: 0.0146 memory: 17087 grad_norm: 5.5735 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9316 loss: 2.9316 2022/08/03 09:44:44 - mmengine - INFO - Epoch(train) [3][1380/1879] lr: 3.0000e-03 eta: 2 days, 11:02:21 time: 0.4342 data_time: 0.0147 memory: 17087 grad_norm: 5.5085 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.7345 loss: 2.7345 2022/08/03 09:44:52 - mmengine - INFO - Epoch(train) [3][1400/1879] lr: 3.0000e-03 eta: 2 days, 11:01:33 time: 0.4251 data_time: 0.0155 memory: 17087 grad_norm: 5.5610 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.8432 loss: 2.8432 2022/08/03 09:45:01 - mmengine - INFO - Epoch(train) [3][1420/1879] lr: 3.0000e-03 eta: 2 days, 11:00:39 time: 0.4222 data_time: 0.0150 memory: 17087 grad_norm: 5.4842 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.9132 loss: 2.9132 2022/08/03 09:45:09 - mmengine - INFO - Epoch(train) [3][1440/1879] lr: 3.0000e-03 eta: 2 days, 10:59:51 time: 0.4251 data_time: 0.0160 memory: 17087 grad_norm: 5.6079 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.8277 loss: 2.8277 2022/08/03 09:45:18 - mmengine - INFO - Epoch(train) [3][1460/1879] lr: 3.0000e-03 eta: 2 days, 10:59:32 time: 0.4413 data_time: 0.0142 memory: 17087 grad_norm: 5.5491 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.8065 loss: 2.8065 2022/08/03 09:45:27 - mmengine - INFO - Epoch(train) [3][1480/1879] lr: 3.0000e-03 eta: 2 days, 10:58:41 time: 0.4231 data_time: 0.0166 memory: 17087 grad_norm: 5.5161 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.7671 loss: 2.7671 2022/08/03 09:45:35 - mmengine - INFO - Epoch(train) [3][1500/1879] lr: 3.0000e-03 eta: 2 days, 10:57:54 time: 0.4249 data_time: 0.0182 memory: 17087 grad_norm: 5.5890 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6910 loss: 2.6910 2022/08/03 09:45:43 - mmengine - INFO - Epoch(train) [3][1520/1879] lr: 3.0000e-03 eta: 2 days, 10:57:05 time: 0.4242 data_time: 0.0149 memory: 17087 grad_norm: 5.7037 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.7500 loss: 2.7500 2022/08/03 09:45:52 - mmengine - INFO - Epoch(train) [3][1540/1879] lr: 3.0000e-03 eta: 2 days, 10:56:19 time: 0.4254 data_time: 0.0142 memory: 17087 grad_norm: 5.6428 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.9780 loss: 2.9780 2022/08/03 09:46:01 - mmengine - INFO - Epoch(train) [3][1560/1879] lr: 3.0000e-03 eta: 2 days, 10:55:59 time: 0.4396 data_time: 0.0160 memory: 17087 grad_norm: 5.5477 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 3.0072 loss: 3.0072 2022/08/03 09:46:09 - mmengine - INFO - Epoch(train) [3][1580/1879] lr: 3.0000e-03 eta: 2 days, 10:55:16 time: 0.4269 data_time: 0.0133 memory: 17087 grad_norm: 5.5956 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.7001 loss: 2.7001 2022/08/03 09:46:18 - mmengine - INFO - Epoch(train) [3][1600/1879] lr: 3.0000e-03 eta: 2 days, 10:54:31 time: 0.4259 data_time: 0.0179 memory: 17087 grad_norm: 5.5328 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8269 loss: 2.8269 2022/08/03 09:46:26 - mmengine - INFO - Epoch(train) [3][1620/1879] lr: 3.0000e-03 eta: 2 days, 10:53:39 time: 0.4210 data_time: 0.0133 memory: 17087 grad_norm: 5.6179 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.7035 loss: 2.7035 2022/08/03 09:46:35 - mmengine - INFO - Epoch(train) [3][1640/1879] lr: 3.0000e-03 eta: 2 days, 10:52:50 time: 0.4230 data_time: 0.0158 memory: 17087 grad_norm: 5.5759 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.9667 loss: 2.9667 2022/08/03 09:46:43 - mmengine - INFO - Epoch(train) [3][1660/1879] lr: 3.0000e-03 eta: 2 days, 10:52:16 time: 0.4318 data_time: 0.0147 memory: 17087 grad_norm: 5.7170 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.9228 loss: 2.9228 2022/08/03 09:46:52 - mmengine - INFO - Epoch(train) [3][1680/1879] lr: 3.0000e-03 eta: 2 days, 10:51:31 time: 0.4248 data_time: 0.0151 memory: 17087 grad_norm: 5.5094 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8302 loss: 2.8302 2022/08/03 09:47:01 - mmengine - INFO - Epoch(train) [3][1700/1879] lr: 3.0000e-03 eta: 2 days, 10:51:06 time: 0.4360 data_time: 0.0161 memory: 17087 grad_norm: 5.4526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5265 loss: 2.5265 2022/08/03 09:47:09 - mmengine - INFO - Epoch(train) [3][1720/1879] lr: 3.0000e-03 eta: 2 days, 10:50:29 time: 0.4294 data_time: 0.0205 memory: 17087 grad_norm: 5.5233 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0453 loss: 3.0453 2022/08/03 09:47:18 - mmengine - INFO - Epoch(train) [3][1740/1879] lr: 3.0000e-03 eta: 2 days, 10:49:43 time: 0.4241 data_time: 0.0157 memory: 17087 grad_norm: 5.5667 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6446 loss: 2.6446 2022/08/03 09:47:26 - mmengine - INFO - Epoch(train) [3][1760/1879] lr: 3.0000e-03 eta: 2 days, 10:48:57 time: 0.4237 data_time: 0.0183 memory: 17087 grad_norm: 5.4584 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.9284 loss: 2.9284 2022/08/03 09:47:35 - mmengine - INFO - Epoch(train) [3][1780/1879] lr: 3.0000e-03 eta: 2 days, 10:48:14 time: 0.4256 data_time: 0.0150 memory: 17087 grad_norm: 5.5334 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6387 loss: 2.6387 2022/08/03 09:47:43 - mmengine - INFO - Epoch(train) [3][1800/1879] lr: 3.0000e-03 eta: 2 days, 10:47:37 time: 0.4290 data_time: 0.0157 memory: 17087 grad_norm: 5.4985 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.7215 loss: 2.7215 2022/08/03 09:47:52 - mmengine - INFO - Epoch(train) [3][1820/1879] lr: 3.0000e-03 eta: 2 days, 10:46:54 time: 0.4251 data_time: 0.0156 memory: 17087 grad_norm: 5.6452 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.7492 loss: 2.7492 2022/08/03 09:48:00 - mmengine - INFO - Epoch(train) [3][1840/1879] lr: 3.0000e-03 eta: 2 days, 10:46:15 time: 0.4273 data_time: 0.0184 memory: 17087 grad_norm: 5.6022 top1_acc: 0.0625 top5_acc: 0.4375 loss_cls: 2.8169 loss: 2.8169 2022/08/03 09:48:09 - mmengine - INFO - Epoch(train) [3][1860/1879] lr: 3.0000e-03 eta: 2 days, 10:45:28 time: 0.4225 data_time: 0.0114 memory: 17087 grad_norm: 5.5934 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.8940 loss: 2.8940 2022/08/03 09:48:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 09:48:16 - mmengine - INFO - Epoch(train) [3][1879/1879] lr: 3.0000e-03 eta: 2 days, 10:45:28 time: 0.4051 data_time: 0.0146 memory: 17087 grad_norm: 5.7141 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.8826 loss: 2.8826 2022/08/03 09:48:27 - mmengine - INFO - Epoch(train) [4][20/1879] lr: 4.0000e-03 eta: 2 days, 10:36:21 time: 0.5525 data_time: 0.1118 memory: 17087 grad_norm: 5.5579 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6624 loss: 2.6624 2022/08/03 09:48:36 - mmengine - INFO - Epoch(train) [4][40/1879] lr: 4.0000e-03 eta: 2 days, 10:35:41 time: 0.4250 data_time: 0.0152 memory: 17087 grad_norm: 5.5817 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 3.0610 loss: 3.0610 2022/08/03 09:48:44 - mmengine - INFO - Epoch(train) [4][60/1879] lr: 4.0000e-03 eta: 2 days, 10:34:57 time: 0.4228 data_time: 0.0151 memory: 17087 grad_norm: 5.6810 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8118 loss: 2.8118 2022/08/03 09:48:53 - mmengine - INFO - Epoch(train) [4][80/1879] lr: 4.0000e-03 eta: 2 days, 10:34:16 time: 0.4242 data_time: 0.0169 memory: 17087 grad_norm: 5.6153 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.5786 loss: 2.5786 2022/08/03 09:49:02 - mmengine - INFO - Epoch(train) [4][100/1879] lr: 4.0000e-03 eta: 2 days, 10:33:53 time: 0.4351 data_time: 0.0151 memory: 17087 grad_norm: 5.5622 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.8085 loss: 2.8085 2022/08/03 09:49:10 - mmengine - INFO - Epoch(train) [4][120/1879] lr: 4.0000e-03 eta: 2 days, 10:33:20 time: 0.4290 data_time: 0.0169 memory: 17087 grad_norm: 5.5791 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7336 loss: 2.7336 2022/08/03 09:49:19 - mmengine - INFO - Epoch(train) [4][140/1879] lr: 4.0000e-03 eta: 2 days, 10:32:40 time: 0.4247 data_time: 0.0166 memory: 17087 grad_norm: 5.5323 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5858 loss: 2.5858 2022/08/03 09:49:27 - mmengine - INFO - Epoch(train) [4][160/1879] lr: 4.0000e-03 eta: 2 days, 10:32:02 time: 0.4258 data_time: 0.0139 memory: 17087 grad_norm: 5.6393 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 2.6279 loss: 2.6279 2022/08/03 09:49:36 - mmengine - INFO - Epoch(train) [4][180/1879] lr: 4.0000e-03 eta: 2 days, 10:31:16 time: 0.4205 data_time: 0.0136 memory: 17087 grad_norm: 5.6091 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.8175 loss: 2.8175 2022/08/03 09:49:44 - mmengine - INFO - Epoch(train) [4][200/1879] lr: 4.0000e-03 eta: 2 days, 10:30:36 time: 0.4243 data_time: 0.0152 memory: 17087 grad_norm: 5.6427 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.9154 loss: 2.9154 2022/08/03 09:49:53 - mmengine - INFO - Epoch(train) [4][220/1879] lr: 4.0000e-03 eta: 2 days, 10:30:01 time: 0.4274 data_time: 0.0144 memory: 17087 grad_norm: 5.5298 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.8027 loss: 2.8027 2022/08/03 09:50:01 - mmengine - INFO - Epoch(train) [4][240/1879] lr: 4.0000e-03 eta: 2 days, 10:29:35 time: 0.4327 data_time: 0.0153 memory: 17087 grad_norm: 5.6776 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.8100 loss: 2.8100 2022/08/03 09:50:10 - mmengine - INFO - Epoch(train) [4][260/1879] lr: 4.0000e-03 eta: 2 days, 10:28:54 time: 0.4228 data_time: 0.0145 memory: 17087 grad_norm: 5.5982 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7875 loss: 2.7875 2022/08/03 09:50:19 - mmengine - INFO - Epoch(train) [4][280/1879] lr: 4.0000e-03 eta: 2 days, 10:28:45 time: 0.4435 data_time: 0.0205 memory: 17087 grad_norm: 5.6542 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7285 loss: 2.7285 2022/08/03 09:50:27 - mmengine - INFO - Epoch(train) [4][300/1879] lr: 4.0000e-03 eta: 2 days, 10:28:03 time: 0.4223 data_time: 0.0126 memory: 17087 grad_norm: 5.5930 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5135 loss: 2.5135 2022/08/03 09:50:36 - mmengine - INFO - Epoch(train) [4][320/1879] lr: 4.0000e-03 eta: 2 days, 10:27:24 time: 0.4243 data_time: 0.0165 memory: 17087 grad_norm: 5.5669 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4982 loss: 2.4982 2022/08/03 09:50:44 - mmengine - INFO - Epoch(train) [4][340/1879] lr: 4.0000e-03 eta: 2 days, 10:26:54 time: 0.4296 data_time: 0.0139 memory: 17087 grad_norm: 5.6223 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6423 loss: 2.6423 2022/08/03 09:50:53 - mmengine - INFO - Epoch(train) [4][360/1879] lr: 4.0000e-03 eta: 2 days, 10:26:17 time: 0.4252 data_time: 0.0146 memory: 17087 grad_norm: 5.6046 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7268 loss: 2.7268 2022/08/03 09:50:54 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 09:51:01 - mmengine - INFO - Epoch(train) [4][380/1879] lr: 4.0000e-03 eta: 2 days, 10:25:55 time: 0.4342 data_time: 0.0149 memory: 17087 grad_norm: 5.4987 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6283 loss: 2.6283 2022/08/03 09:51:10 - mmengine - INFO - Epoch(train) [4][400/1879] lr: 4.0000e-03 eta: 2 days, 10:25:22 time: 0.4278 data_time: 0.0147 memory: 17087 grad_norm: 5.6379 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.7716 loss: 2.7716 2022/08/03 09:51:18 - mmengine - INFO - Epoch(train) [4][420/1879] lr: 4.0000e-03 eta: 2 days, 10:24:43 time: 0.4236 data_time: 0.0150 memory: 17087 grad_norm: 5.6126 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.7284 loss: 2.7284 2022/08/03 09:51:27 - mmengine - INFO - Epoch(train) [4][440/1879] lr: 4.0000e-03 eta: 2 days, 10:24:04 time: 0.4233 data_time: 0.0168 memory: 17087 grad_norm: 5.5906 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8282 loss: 2.8282 2022/08/03 09:51:35 - mmengine - INFO - Epoch(train) [4][460/1879] lr: 4.0000e-03 eta: 2 days, 10:23:26 time: 0.4241 data_time: 0.0144 memory: 17087 grad_norm: 5.6111 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.0338 loss: 3.0338 2022/08/03 09:51:44 - mmengine - INFO - Epoch(train) [4][480/1879] lr: 4.0000e-03 eta: 2 days, 10:23:11 time: 0.4382 data_time: 0.0156 memory: 17087 grad_norm: 5.6199 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.6767 loss: 2.6767 2022/08/03 09:51:53 - mmengine - INFO - Epoch(train) [4][500/1879] lr: 4.0000e-03 eta: 2 days, 10:22:36 time: 0.4262 data_time: 0.0178 memory: 17087 grad_norm: 5.6600 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.8486 loss: 2.8486 2022/08/03 09:52:01 - mmengine - INFO - Epoch(train) [4][520/1879] lr: 4.0000e-03 eta: 2 days, 10:22:17 time: 0.4358 data_time: 0.0155 memory: 17087 grad_norm: 5.6417 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.8287 loss: 2.8287 2022/08/03 09:52:10 - mmengine - INFO - Epoch(train) [4][540/1879] lr: 4.0000e-03 eta: 2 days, 10:21:59 time: 0.4365 data_time: 0.0186 memory: 17087 grad_norm: 5.5876 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6914 loss: 2.6914 2022/08/03 09:52:19 - mmengine - INFO - Epoch(train) [4][560/1879] lr: 4.0000e-03 eta: 2 days, 10:21:43 time: 0.4378 data_time: 0.0157 memory: 17087 grad_norm: 5.5889 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7551 loss: 2.7551 2022/08/03 09:52:27 - mmengine - INFO - Epoch(train) [4][580/1879] lr: 4.0000e-03 eta: 2 days, 10:21:14 time: 0.4290 data_time: 0.0143 memory: 17087 grad_norm: 5.6758 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.8720 loss: 2.8720 2022/08/03 09:52:36 - mmengine - INFO - Epoch(train) [4][600/1879] lr: 4.0000e-03 eta: 2 days, 10:20:39 time: 0.4255 data_time: 0.0179 memory: 17087 grad_norm: 5.6927 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.7646 loss: 2.7646 2022/08/03 09:52:44 - mmengine - INFO - Epoch(train) [4][620/1879] lr: 4.0000e-03 eta: 2 days, 10:20:01 time: 0.4232 data_time: 0.0122 memory: 17087 grad_norm: 5.6364 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.7102 loss: 2.7102 2022/08/03 09:52:53 - mmengine - INFO - Epoch(train) [4][640/1879] lr: 4.0000e-03 eta: 2 days, 10:19:28 time: 0.4262 data_time: 0.0175 memory: 17087 grad_norm: 5.6053 top1_acc: 0.1250 top5_acc: 0.1875 loss_cls: 2.8545 loss: 2.8545 2022/08/03 09:53:02 - mmengine - INFO - Epoch(train) [4][660/1879] lr: 4.0000e-03 eta: 2 days, 10:19:07 time: 0.4341 data_time: 0.0138 memory: 17087 grad_norm: 5.6927 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7807 loss: 2.7807 2022/08/03 09:53:10 - mmengine - INFO - Epoch(train) [4][680/1879] lr: 4.0000e-03 eta: 2 days, 10:18:52 time: 0.4384 data_time: 0.0205 memory: 17087 grad_norm: 5.6852 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.8102 loss: 2.8102 2022/08/03 09:53:19 - mmengine - INFO - Epoch(train) [4][700/1879] lr: 4.0000e-03 eta: 2 days, 10:18:36 time: 0.4374 data_time: 0.0136 memory: 17087 grad_norm: 5.5863 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.6094 loss: 2.6094 2022/08/03 09:53:28 - mmengine - INFO - Epoch(train) [4][720/1879] lr: 4.0000e-03 eta: 2 days, 10:18:16 time: 0.4344 data_time: 0.0169 memory: 17087 grad_norm: 5.7395 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8597 loss: 2.8597 2022/08/03 09:53:36 - mmengine - INFO - Epoch(train) [4][740/1879] lr: 4.0000e-03 eta: 2 days, 10:17:36 time: 0.4213 data_time: 0.0128 memory: 17087 grad_norm: 5.6858 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.6257 loss: 2.6257 2022/08/03 09:53:45 - mmengine - INFO - Epoch(train) [4][760/1879] lr: 4.0000e-03 eta: 2 days, 10:17:03 time: 0.4262 data_time: 0.0155 memory: 17087 grad_norm: 5.5949 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.7488 loss: 2.7488 2022/08/03 09:53:53 - mmengine - INFO - Epoch(train) [4][780/1879] lr: 4.0000e-03 eta: 2 days, 10:16:27 time: 0.4235 data_time: 0.0151 memory: 17087 grad_norm: 5.6037 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6429 loss: 2.6429 2022/08/03 09:54:02 - mmengine - INFO - Epoch(train) [4][800/1879] lr: 4.0000e-03 eta: 2 days, 10:16:11 time: 0.4370 data_time: 0.0173 memory: 17087 grad_norm: 5.6126 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7634 loss: 2.7634 2022/08/03 09:54:11 - mmengine - INFO - Epoch(train) [4][820/1879] lr: 4.0000e-03 eta: 2 days, 10:15:42 time: 0.4283 data_time: 0.0190 memory: 17087 grad_norm: 5.6725 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4926 loss: 2.4926 2022/08/03 09:54:19 - mmengine - INFO - Epoch(train) [4][840/1879] lr: 4.0000e-03 eta: 2 days, 10:15:08 time: 0.4251 data_time: 0.0159 memory: 17087 grad_norm: 5.5635 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7728 loss: 2.7728 2022/08/03 09:54:28 - mmengine - INFO - Epoch(train) [4][860/1879] lr: 4.0000e-03 eta: 2 days, 10:14:34 time: 0.4244 data_time: 0.0139 memory: 17087 grad_norm: 5.6263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8337 loss: 2.8337 2022/08/03 09:54:36 - mmengine - INFO - Epoch(train) [4][880/1879] lr: 4.0000e-03 eta: 2 days, 10:13:58 time: 0.4234 data_time: 0.0164 memory: 17087 grad_norm: 5.5855 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5158 loss: 2.5158 2022/08/03 09:54:45 - mmengine - INFO - Epoch(train) [4][900/1879] lr: 4.0000e-03 eta: 2 days, 10:13:33 time: 0.4306 data_time: 0.0145 memory: 17087 grad_norm: 5.7010 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7201 loss: 2.7201 2022/08/03 09:54:53 - mmengine - INFO - Epoch(train) [4][920/1879] lr: 4.0000e-03 eta: 2 days, 10:12:59 time: 0.4241 data_time: 0.0155 memory: 17087 grad_norm: 5.6366 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.8383 loss: 2.8383 2022/08/03 09:55:02 - mmengine - INFO - Epoch(train) [4][940/1879] lr: 4.0000e-03 eta: 2 days, 10:12:40 time: 0.4352 data_time: 0.0136 memory: 17087 grad_norm: 5.6151 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4353 loss: 2.4353 2022/08/03 09:55:10 - mmengine - INFO - Epoch(train) [4][960/1879] lr: 4.0000e-03 eta: 2 days, 10:12:18 time: 0.4322 data_time: 0.0161 memory: 17087 grad_norm: 5.6257 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.7695 loss: 2.7695 2022/08/03 09:55:19 - mmengine - INFO - Epoch(train) [4][980/1879] lr: 4.0000e-03 eta: 2 days, 10:11:44 time: 0.4240 data_time: 0.0146 memory: 17087 grad_norm: 5.7277 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.7449 loss: 2.7449 2022/08/03 09:55:27 - mmengine - INFO - Epoch(train) [4][1000/1879] lr: 4.0000e-03 eta: 2 days, 10:11:12 time: 0.4255 data_time: 0.0147 memory: 17087 grad_norm: 5.5966 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5549 loss: 2.5549 2022/08/03 09:55:36 - mmengine - INFO - Epoch(train) [4][1020/1879] lr: 4.0000e-03 eta: 2 days, 10:10:36 time: 0.4226 data_time: 0.0138 memory: 17087 grad_norm: 5.6630 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6648 loss: 2.6648 2022/08/03 09:55:45 - mmengine - INFO - Epoch(train) [4][1040/1879] lr: 4.0000e-03 eta: 2 days, 10:10:19 time: 0.4354 data_time: 0.0150 memory: 17087 grad_norm: 5.7220 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6961 loss: 2.6961 2022/08/03 09:55:53 - mmengine - INFO - Epoch(train) [4][1060/1879] lr: 4.0000e-03 eta: 2 days, 10:09:52 time: 0.4287 data_time: 0.0153 memory: 17087 grad_norm: 5.6377 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4059 loss: 2.4059 2022/08/03 09:56:02 - mmengine - INFO - Epoch(train) [4][1080/1879] lr: 4.0000e-03 eta: 2 days, 10:09:35 time: 0.4358 data_time: 0.0156 memory: 17087 grad_norm: 5.6226 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7546 loss: 2.7546 2022/08/03 09:56:10 - mmengine - INFO - Epoch(train) [4][1100/1879] lr: 4.0000e-03 eta: 2 days, 10:09:08 time: 0.4286 data_time: 0.0158 memory: 17087 grad_norm: 5.6626 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9852 loss: 2.9852 2022/08/03 09:56:19 - mmengine - INFO - Epoch(train) [4][1120/1879] lr: 4.0000e-03 eta: 2 days, 10:08:32 time: 0.4225 data_time: 0.0144 memory: 17087 grad_norm: 5.5668 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7430 loss: 2.7430 2022/08/03 09:56:27 - mmengine - INFO - Epoch(train) [4][1140/1879] lr: 4.0000e-03 eta: 2 days, 10:08:00 time: 0.4241 data_time: 0.0157 memory: 17087 grad_norm: 5.6171 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8620 loss: 2.8620 2022/08/03 09:56:36 - mmengine - INFO - Epoch(train) [4][1160/1879] lr: 4.0000e-03 eta: 2 days, 10:07:26 time: 0.4235 data_time: 0.0153 memory: 17087 grad_norm: 5.6028 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7917 loss: 2.7917 2022/08/03 09:56:44 - mmengine - INFO - Epoch(train) [4][1180/1879] lr: 4.0000e-03 eta: 2 days, 10:06:50 time: 0.4220 data_time: 0.0138 memory: 17087 grad_norm: 5.5564 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9804 loss: 2.9804 2022/08/03 09:56:53 - mmengine - INFO - Epoch(train) [4][1200/1879] lr: 4.0000e-03 eta: 2 days, 10:06:21 time: 0.4263 data_time: 0.0144 memory: 17087 grad_norm: 5.5460 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4995 loss: 2.4995 2022/08/03 09:57:01 - mmengine - INFO - Epoch(train) [4][1220/1879] lr: 4.0000e-03 eta: 2 days, 10:05:53 time: 0.4271 data_time: 0.0146 memory: 17087 grad_norm: 5.6268 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.7185 loss: 2.7185 2022/08/03 09:57:10 - mmengine - INFO - Epoch(train) [4][1240/1879] lr: 4.0000e-03 eta: 2 days, 10:05:26 time: 0.4281 data_time: 0.0145 memory: 17087 grad_norm: 5.7597 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8907 loss: 2.8907 2022/08/03 09:57:19 - mmengine - INFO - Epoch(train) [4][1260/1879] lr: 4.0000e-03 eta: 2 days, 10:05:30 time: 0.4505 data_time: 0.0151 memory: 17087 grad_norm: 5.6361 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5957 loss: 2.5957 2022/08/03 09:57:27 - mmengine - INFO - Epoch(train) [4][1280/1879] lr: 4.0000e-03 eta: 2 days, 10:04:55 time: 0.4223 data_time: 0.0141 memory: 17087 grad_norm: 5.6210 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.5963 loss: 2.5963 2022/08/03 09:57:36 - mmengine - INFO - Epoch(train) [4][1300/1879] lr: 4.0000e-03 eta: 2 days, 10:04:20 time: 0.4213 data_time: 0.0143 memory: 17087 grad_norm: 5.5760 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6312 loss: 2.6312 2022/08/03 09:57:45 - mmengine - INFO - Epoch(train) [4][1320/1879] lr: 4.0000e-03 eta: 2 days, 10:04:20 time: 0.4479 data_time: 0.0178 memory: 17087 grad_norm: 5.6267 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8205 loss: 2.8205 2022/08/03 09:57:53 - mmengine - INFO - Epoch(train) [4][1340/1879] lr: 4.0000e-03 eta: 2 days, 10:03:46 time: 0.4225 data_time: 0.0137 memory: 17087 grad_norm: 5.6245 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5588 loss: 2.5588 2022/08/03 09:58:02 - mmengine - INFO - Epoch(train) [4][1360/1879] lr: 4.0000e-03 eta: 2 days, 10:03:20 time: 0.4280 data_time: 0.0158 memory: 17087 grad_norm: 5.6316 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6494 loss: 2.6494 2022/08/03 09:58:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 09:58:10 - mmengine - INFO - Epoch(train) [4][1380/1879] lr: 4.0000e-03 eta: 2 days, 10:02:45 time: 0.4217 data_time: 0.0159 memory: 17087 grad_norm: 5.5882 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6648 loss: 2.6648 2022/08/03 09:58:19 - mmengine - INFO - Epoch(train) [4][1400/1879] lr: 4.0000e-03 eta: 2 days, 10:02:35 time: 0.4396 data_time: 0.0163 memory: 17087 grad_norm: 5.5782 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7799 loss: 2.7799 2022/08/03 09:58:27 - mmengine - INFO - Epoch(train) [4][1420/1879] lr: 4.0000e-03 eta: 2 days, 10:02:03 time: 0.4240 data_time: 0.0149 memory: 17087 grad_norm: 5.5998 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7231 loss: 2.7231 2022/08/03 09:58:36 - mmengine - INFO - Epoch(train) [4][1440/1879] lr: 4.0000e-03 eta: 2 days, 10:01:32 time: 0.4242 data_time: 0.0148 memory: 17087 grad_norm: 5.6628 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6063 loss: 2.6063 2022/08/03 09:58:45 - mmengine - INFO - Epoch(train) [4][1460/1879] lr: 4.0000e-03 eta: 2 days, 10:01:16 time: 0.4352 data_time: 0.0152 memory: 17087 grad_norm: 5.7851 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.7494 loss: 2.7494 2022/08/03 09:58:53 - mmengine - INFO - Epoch(train) [4][1480/1879] lr: 4.0000e-03 eta: 2 days, 10:00:47 time: 0.4261 data_time: 0.0158 memory: 17087 grad_norm: 5.6603 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.6164 loss: 2.6164 2022/08/03 09:59:02 - mmengine - INFO - Epoch(train) [4][1500/1879] lr: 4.0000e-03 eta: 2 days, 10:00:13 time: 0.4212 data_time: 0.0140 memory: 17087 grad_norm: 5.6423 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2801 loss: 2.2801 2022/08/03 09:59:10 - mmengine - INFO - Epoch(train) [4][1520/1879] lr: 4.0000e-03 eta: 2 days, 9:59:47 time: 0.4278 data_time: 0.0183 memory: 17087 grad_norm: 5.6524 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 2.7006 loss: 2.7006 2022/08/03 09:59:19 - mmengine - INFO - Epoch(train) [4][1540/1879] lr: 4.0000e-03 eta: 2 days, 9:59:13 time: 0.4215 data_time: 0.0147 memory: 17087 grad_norm: 5.6676 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.8348 loss: 2.8348 2022/08/03 09:59:27 - mmengine - INFO - Epoch(train) [4][1560/1879] lr: 4.0000e-03 eta: 2 days, 9:58:42 time: 0.4239 data_time: 0.0175 memory: 17087 grad_norm: 5.6026 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4208 loss: 2.4208 2022/08/03 09:59:36 - mmengine - INFO - Epoch(train) [4][1580/1879] lr: 4.0000e-03 eta: 2 days, 9:58:14 time: 0.4256 data_time: 0.0156 memory: 17087 grad_norm: 5.6150 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3996 loss: 2.3996 2022/08/03 09:59:44 - mmengine - INFO - Epoch(train) [4][1600/1879] lr: 4.0000e-03 eta: 2 days, 9:57:45 time: 0.4253 data_time: 0.0163 memory: 17087 grad_norm: 5.6291 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7215 loss: 2.7215 2022/08/03 09:59:53 - mmengine - INFO - Epoch(train) [4][1620/1879] lr: 4.0000e-03 eta: 2 days, 9:57:16 time: 0.4251 data_time: 0.0169 memory: 17087 grad_norm: 5.5697 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.7100 loss: 2.7100 2022/08/03 10:00:01 - mmengine - INFO - Epoch(train) [4][1640/1879] lr: 4.0000e-03 eta: 2 days, 9:56:49 time: 0.4260 data_time: 0.0161 memory: 17087 grad_norm: 5.6694 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5134 loss: 2.5134 2022/08/03 10:00:10 - mmengine - INFO - Epoch(train) [4][1660/1879] lr: 4.0000e-03 eta: 2 days, 9:56:47 time: 0.4456 data_time: 0.0143 memory: 17087 grad_norm: 5.5991 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.8355 loss: 2.8355 2022/08/03 10:00:19 - mmengine - INFO - Epoch(train) [4][1680/1879] lr: 4.0000e-03 eta: 2 days, 9:56:18 time: 0.4248 data_time: 0.0144 memory: 17087 grad_norm: 5.5396 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6798 loss: 2.6798 2022/08/03 10:00:27 - mmengine - INFO - Epoch(train) [4][1700/1879] lr: 4.0000e-03 eta: 2 days, 9:55:46 time: 0.4225 data_time: 0.0144 memory: 17087 grad_norm: 5.5664 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.6505 loss: 2.6505 2022/08/03 10:00:36 - mmengine - INFO - Epoch(train) [4][1720/1879] lr: 4.0000e-03 eta: 2 days, 9:55:46 time: 0.4475 data_time: 0.0151 memory: 17087 grad_norm: 5.5681 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5362 loss: 2.5362 2022/08/03 10:00:44 - mmengine - INFO - Epoch(train) [4][1740/1879] lr: 4.0000e-03 eta: 2 days, 9:55:14 time: 0.4219 data_time: 0.0142 memory: 17087 grad_norm: 5.6145 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4220 loss: 2.4220 2022/08/03 10:00:53 - mmengine - INFO - Epoch(train) [4][1760/1879] lr: 4.0000e-03 eta: 2 days, 9:54:50 time: 0.4281 data_time: 0.0163 memory: 17087 grad_norm: 5.6222 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7749 loss: 2.7749 2022/08/03 10:01:01 - mmengine - INFO - Epoch(train) [4][1780/1879] lr: 4.0000e-03 eta: 2 days, 9:54:18 time: 0.4222 data_time: 0.0154 memory: 17087 grad_norm: 5.6486 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5732 loss: 2.5732 2022/08/03 10:01:10 - mmengine - INFO - Epoch(train) [4][1800/1879] lr: 4.0000e-03 eta: 2 days, 9:54:15 time: 0.4452 data_time: 0.0161 memory: 17087 grad_norm: 5.6645 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5531 loss: 2.5531 2022/08/03 10:01:19 - mmengine - INFO - Epoch(train) [4][1820/1879] lr: 4.0000e-03 eta: 2 days, 9:53:45 time: 0.4231 data_time: 0.0142 memory: 17087 grad_norm: 5.6164 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5132 loss: 2.5132 2022/08/03 10:01:28 - mmengine - INFO - Epoch(train) [4][1840/1879] lr: 4.0000e-03 eta: 2 days, 9:53:39 time: 0.4426 data_time: 0.0156 memory: 17087 grad_norm: 5.5831 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.7171 loss: 2.7171 2022/08/03 10:01:36 - mmengine - INFO - Epoch(train) [4][1860/1879] lr: 4.0000e-03 eta: 2 days, 9:53:07 time: 0.4218 data_time: 0.0151 memory: 17087 grad_norm: 5.6334 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.7000 loss: 2.7000 2022/08/03 10:01:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:01:44 - mmengine - INFO - Epoch(train) [4][1879/1879] lr: 4.0000e-03 eta: 2 days, 9:53:07 time: 0.4077 data_time: 0.0149 memory: 17087 grad_norm: 5.6111 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.5404 loss: 2.5404 2022/08/03 10:01:44 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/08/03 10:01:58 - mmengine - INFO - Epoch(train) [5][20/1879] lr: 5.0000e-03 eta: 2 days, 9:45:39 time: 0.5148 data_time: 0.1048 memory: 17087 grad_norm: 5.5633 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.6394 loss: 2.6394 2022/08/03 10:02:06 - mmengine - INFO - Epoch(train) [5][40/1879] lr: 5.0000e-03 eta: 2 days, 9:45:32 time: 0.4409 data_time: 0.0145 memory: 17087 grad_norm: 5.5206 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.5218 loss: 2.5218 2022/08/03 10:02:15 - mmengine - INFO - Epoch(train) [5][60/1879] lr: 5.0000e-03 eta: 2 days, 9:45:01 time: 0.4211 data_time: 0.0157 memory: 17087 grad_norm: 5.5517 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5963 loss: 2.5963 2022/08/03 10:02:24 - mmengine - INFO - Epoch(train) [5][80/1879] lr: 5.0000e-03 eta: 2 days, 9:44:59 time: 0.4448 data_time: 0.0153 memory: 17087 grad_norm: 5.6799 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7989 loss: 2.7989 2022/08/03 10:02:32 - mmengine - INFO - Epoch(train) [5][100/1879] lr: 5.0000e-03 eta: 2 days, 9:44:30 time: 0.4231 data_time: 0.0147 memory: 17087 grad_norm: 5.6277 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 2.7934 loss: 2.7934 2022/08/03 10:02:41 - mmengine - INFO - Epoch(train) [5][120/1879] lr: 5.0000e-03 eta: 2 days, 9:44:09 time: 0.4290 data_time: 0.0162 memory: 17087 grad_norm: 5.6893 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.7270 loss: 2.7270 2022/08/03 10:02:49 - mmengine - INFO - Epoch(train) [5][140/1879] lr: 5.0000e-03 eta: 2 days, 9:43:47 time: 0.4283 data_time: 0.0152 memory: 17087 grad_norm: 5.6225 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.5238 loss: 2.5238 2022/08/03 10:02:58 - mmengine - INFO - Epoch(train) [5][160/1879] lr: 5.0000e-03 eta: 2 days, 9:43:20 time: 0.4241 data_time: 0.0147 memory: 17087 grad_norm: 5.6664 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.5911 loss: 2.5911 2022/08/03 10:03:06 - mmengine - INFO - Epoch(train) [5][180/1879] lr: 5.0000e-03 eta: 2 days, 9:42:51 time: 0.4229 data_time: 0.0168 memory: 17087 grad_norm: 5.5782 top1_acc: 0.0625 top5_acc: 0.5000 loss_cls: 2.6371 loss: 2.6371 2022/08/03 10:03:15 - mmengine - INFO - Epoch(train) [5][200/1879] lr: 5.0000e-03 eta: 2 days, 9:42:24 time: 0.4243 data_time: 0.0145 memory: 17087 grad_norm: 5.6179 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.6156 loss: 2.6156 2022/08/03 10:03:23 - mmengine - INFO - Epoch(train) [5][220/1879] lr: 5.0000e-03 eta: 2 days, 9:42:07 time: 0.4320 data_time: 0.0129 memory: 17087 grad_norm: 5.7450 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5755 loss: 2.5755 2022/08/03 10:03:32 - mmengine - INFO - Epoch(train) [5][240/1879] lr: 5.0000e-03 eta: 2 days, 9:41:43 time: 0.4262 data_time: 0.0167 memory: 17087 grad_norm: 5.6685 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4597 loss: 2.4597 2022/08/03 10:03:40 - mmengine - INFO - Epoch(train) [5][260/1879] lr: 5.0000e-03 eta: 2 days, 9:41:18 time: 0.4254 data_time: 0.0177 memory: 17087 grad_norm: 5.6244 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.5781 loss: 2.5781 2022/08/03 10:03:49 - mmengine - INFO - Epoch(train) [5][280/1879] lr: 5.0000e-03 eta: 2 days, 9:40:51 time: 0.4240 data_time: 0.0155 memory: 17087 grad_norm: 5.7449 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7105 loss: 2.7105 2022/08/03 10:03:57 - mmengine - INFO - Epoch(train) [5][300/1879] lr: 5.0000e-03 eta: 2 days, 9:40:21 time: 0.4217 data_time: 0.0141 memory: 17087 grad_norm: 5.6365 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5972 loss: 2.5972 2022/08/03 10:04:06 - mmengine - INFO - Epoch(train) [5][320/1879] lr: 5.0000e-03 eta: 2 days, 9:40:18 time: 0.4433 data_time: 0.0158 memory: 17087 grad_norm: 5.7521 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5245 loss: 2.5245 2022/08/03 10:04:15 - mmengine - INFO - Epoch(train) [5][340/1879] lr: 5.0000e-03 eta: 2 days, 9:39:58 time: 0.4290 data_time: 0.0179 memory: 17087 grad_norm: 5.6356 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6536 loss: 2.6536 2022/08/03 10:04:23 - mmengine - INFO - Epoch(train) [5][360/1879] lr: 5.0000e-03 eta: 2 days, 9:39:30 time: 0.4230 data_time: 0.0171 memory: 17087 grad_norm: 5.5643 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5426 loss: 2.5426 2022/08/03 10:04:32 - mmengine - INFO - Epoch(train) [5][380/1879] lr: 5.0000e-03 eta: 2 days, 9:39:10 time: 0.4296 data_time: 0.0148 memory: 17087 grad_norm: 5.6507 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5751 loss: 2.5751 2022/08/03 10:04:40 - mmengine - INFO - Epoch(train) [5][400/1879] lr: 5.0000e-03 eta: 2 days, 9:38:48 time: 0.4271 data_time: 0.0168 memory: 17087 grad_norm: 5.6594 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5545 loss: 2.5545 2022/08/03 10:04:49 - mmengine - INFO - Epoch(train) [5][420/1879] lr: 5.0000e-03 eta: 2 days, 9:38:20 time: 0.4227 data_time: 0.0137 memory: 17087 grad_norm: 5.7213 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.5072 loss: 2.5072 2022/08/03 10:04:57 - mmengine - INFO - Epoch(train) [5][440/1879] lr: 5.0000e-03 eta: 2 days, 9:37:54 time: 0.4246 data_time: 0.0159 memory: 17087 grad_norm: 5.6560 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5558 loss: 2.5558 2022/08/03 10:05:06 - mmengine - INFO - Epoch(train) [5][460/1879] lr: 5.0000e-03 eta: 2 days, 9:37:34 time: 0.4290 data_time: 0.0167 memory: 17087 grad_norm: 5.6820 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.5978 loss: 2.5978 2022/08/03 10:05:15 - mmengine - INFO - Epoch(train) [5][480/1879] lr: 5.0000e-03 eta: 2 days, 9:37:27 time: 0.4395 data_time: 0.0148 memory: 17087 grad_norm: 5.5282 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7128 loss: 2.7128 2022/08/03 10:05:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:05:23 - mmengine - INFO - Epoch(train) [5][500/1879] lr: 5.0000e-03 eta: 2 days, 9:37:17 time: 0.4379 data_time: 0.0190 memory: 17087 grad_norm: 5.6642 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5970 loss: 2.5970 2022/08/03 10:05:32 - mmengine - INFO - Epoch(train) [5][520/1879] lr: 5.0000e-03 eta: 2 days, 9:36:50 time: 0.4225 data_time: 0.0154 memory: 17087 grad_norm: 5.6180 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.4635 loss: 2.4635 2022/08/03 10:05:40 - mmengine - INFO - Epoch(train) [5][540/1879] lr: 5.0000e-03 eta: 2 days, 9:36:29 time: 0.4281 data_time: 0.0146 memory: 17087 grad_norm: 5.6742 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5510 loss: 2.5510 2022/08/03 10:05:49 - mmengine - INFO - Epoch(train) [5][560/1879] lr: 5.0000e-03 eta: 2 days, 9:36:02 time: 0.4236 data_time: 0.0150 memory: 17087 grad_norm: 5.6118 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7170 loss: 2.7170 2022/08/03 10:05:58 - mmengine - INFO - Epoch(train) [5][580/1879] lr: 5.0000e-03 eta: 2 days, 9:35:56 time: 0.4400 data_time: 0.0139 memory: 17087 grad_norm: 5.6645 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.6672 loss: 2.6672 2022/08/03 10:06:06 - mmengine - INFO - Epoch(train) [5][600/1879] lr: 5.0000e-03 eta: 2 days, 9:35:34 time: 0.4273 data_time: 0.0153 memory: 17087 grad_norm: 5.5096 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7178 loss: 2.7178 2022/08/03 10:06:15 - mmengine - INFO - Epoch(train) [5][620/1879] lr: 5.0000e-03 eta: 2 days, 9:35:25 time: 0.4388 data_time: 0.0145 memory: 17087 grad_norm: 5.6544 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4793 loss: 2.4793 2022/08/03 10:06:24 - mmengine - INFO - Epoch(train) [5][640/1879] lr: 5.0000e-03 eta: 2 days, 9:35:02 time: 0.4260 data_time: 0.0173 memory: 17087 grad_norm: 5.4806 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.5688 loss: 2.5688 2022/08/03 10:06:32 - mmengine - INFO - Epoch(train) [5][660/1879] lr: 5.0000e-03 eta: 2 days, 9:34:54 time: 0.4392 data_time: 0.0158 memory: 17087 grad_norm: 5.5539 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.6700 loss: 2.6700 2022/08/03 10:06:41 - mmengine - INFO - Epoch(train) [5][680/1879] lr: 5.0000e-03 eta: 2 days, 9:34:33 time: 0.4272 data_time: 0.0180 memory: 17087 grad_norm: 5.5214 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2797 loss: 2.2797 2022/08/03 10:06:50 - mmengine - INFO - Epoch(train) [5][700/1879] lr: 5.0000e-03 eta: 2 days, 9:34:23 time: 0.4374 data_time: 0.0155 memory: 17087 grad_norm: 5.5246 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 2.6640 loss: 2.6640 2022/08/03 10:06:58 - mmengine - INFO - Epoch(train) [5][720/1879] lr: 5.0000e-03 eta: 2 days, 9:33:58 time: 0.4241 data_time: 0.0149 memory: 17087 grad_norm: 5.6577 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4994 loss: 2.4994 2022/08/03 10:07:07 - mmengine - INFO - Epoch(train) [5][740/1879] lr: 5.0000e-03 eta: 2 days, 9:33:31 time: 0.4225 data_time: 0.0145 memory: 17087 grad_norm: 5.7207 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.5161 loss: 2.5161 2022/08/03 10:07:15 - mmengine - INFO - Epoch(train) [5][760/1879] lr: 5.0000e-03 eta: 2 days, 9:33:06 time: 0.4245 data_time: 0.0159 memory: 17087 grad_norm: 5.4814 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4341 loss: 2.4341 2022/08/03 10:07:24 - mmengine - INFO - Epoch(train) [5][780/1879] lr: 5.0000e-03 eta: 2 days, 9:32:47 time: 0.4287 data_time: 0.0184 memory: 17087 grad_norm: 5.6557 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.6540 loss: 2.6540 2022/08/03 10:07:33 - mmengine - INFO - Epoch(train) [5][800/1879] lr: 5.0000e-03 eta: 2 days, 9:33:09 time: 0.4655 data_time: 0.0162 memory: 17087 grad_norm: 5.7086 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.5371 loss: 2.5371 2022/08/03 10:07:42 - mmengine - INFO - Epoch(train) [5][820/1879] lr: 5.0000e-03 eta: 2 days, 9:32:44 time: 0.4246 data_time: 0.0148 memory: 17087 grad_norm: 5.5511 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.5750 loss: 2.5750 2022/08/03 10:07:50 - mmengine - INFO - Epoch(train) [5][840/1879] lr: 5.0000e-03 eta: 2 days, 9:32:23 time: 0.4270 data_time: 0.0187 memory: 17087 grad_norm: 5.5565 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.7561 loss: 2.7561 2022/08/03 10:07:58 - mmengine - INFO - Epoch(train) [5][860/1879] lr: 5.0000e-03 eta: 2 days, 9:31:56 time: 0.4220 data_time: 0.0142 memory: 17087 grad_norm: 5.6037 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4558 loss: 2.4558 2022/08/03 10:08:07 - mmengine - INFO - Epoch(train) [5][880/1879] lr: 5.0000e-03 eta: 2 days, 9:31:32 time: 0.4244 data_time: 0.0157 memory: 17087 grad_norm: 5.5295 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5772 loss: 2.5772 2022/08/03 10:08:16 - mmengine - INFO - Epoch(train) [5][900/1879] lr: 5.0000e-03 eta: 2 days, 9:31:22 time: 0.4374 data_time: 0.0141 memory: 17087 grad_norm: 5.5965 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5763 loss: 2.5763 2022/08/03 10:08:24 - mmengine - INFO - Epoch(train) [5][920/1879] lr: 5.0000e-03 eta: 2 days, 9:30:57 time: 0.4240 data_time: 0.0160 memory: 17087 grad_norm: 5.5297 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6387 loss: 2.6387 2022/08/03 10:08:33 - mmengine - INFO - Epoch(train) [5][940/1879] lr: 5.0000e-03 eta: 2 days, 9:30:50 time: 0.4391 data_time: 0.0150 memory: 17087 grad_norm: 5.5810 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4126 loss: 2.4126 2022/08/03 10:08:41 - mmengine - INFO - Epoch(train) [5][960/1879] lr: 5.0000e-03 eta: 2 days, 9:30:26 time: 0.4244 data_time: 0.0154 memory: 17087 grad_norm: 5.5608 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.6056 loss: 2.6056 2022/08/03 10:08:50 - mmengine - INFO - Epoch(train) [5][980/1879] lr: 5.0000e-03 eta: 2 days, 9:30:03 time: 0.4253 data_time: 0.0139 memory: 17087 grad_norm: 5.6139 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.5180 loss: 2.5180 2022/08/03 10:08:58 - mmengine - INFO - Epoch(train) [5][1000/1879] lr: 5.0000e-03 eta: 2 days, 9:29:37 time: 0.4227 data_time: 0.0146 memory: 17087 grad_norm: 5.6686 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5576 loss: 2.5576 2022/08/03 10:09:07 - mmengine - INFO - Epoch(train) [5][1020/1879] lr: 5.0000e-03 eta: 2 days, 9:29:19 time: 0.4295 data_time: 0.0143 memory: 17087 grad_norm: 5.6433 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4756 loss: 2.4756 2022/08/03 10:09:15 - mmengine - INFO - Epoch(train) [5][1040/1879] lr: 5.0000e-03 eta: 2 days, 9:28:54 time: 0.4238 data_time: 0.0147 memory: 17087 grad_norm: 5.5604 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.5276 loss: 2.5276 2022/08/03 10:09:24 - mmengine - INFO - Epoch(train) [5][1060/1879] lr: 5.0000e-03 eta: 2 days, 9:28:31 time: 0.4247 data_time: 0.0140 memory: 17087 grad_norm: 5.6135 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.7542 loss: 2.7542 2022/08/03 10:09:32 - mmengine - INFO - Epoch(train) [5][1080/1879] lr: 5.0000e-03 eta: 2 days, 9:28:07 time: 0.4247 data_time: 0.0160 memory: 17087 grad_norm: 5.6337 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4834 loss: 2.4834 2022/08/03 10:09:41 - mmengine - INFO - Epoch(train) [5][1100/1879] lr: 5.0000e-03 eta: 2 days, 9:27:44 time: 0.4245 data_time: 0.0141 memory: 17087 grad_norm: 5.5576 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.4609 loss: 2.4609 2022/08/03 10:09:49 - mmengine - INFO - Epoch(train) [5][1120/1879] lr: 5.0000e-03 eta: 2 days, 9:27:23 time: 0.4269 data_time: 0.0159 memory: 17087 grad_norm: 5.6381 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4312 loss: 2.4312 2022/08/03 10:09:58 - mmengine - INFO - Epoch(train) [5][1140/1879] lr: 5.0000e-03 eta: 2 days, 9:26:56 time: 0.4211 data_time: 0.0139 memory: 17087 grad_norm: 5.4163 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6882 loss: 2.6882 2022/08/03 10:10:07 - mmengine - INFO - Epoch(train) [5][1160/1879] lr: 5.0000e-03 eta: 2 days, 9:26:51 time: 0.4409 data_time: 0.0146 memory: 17087 grad_norm: 5.6450 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6303 loss: 2.6303 2022/08/03 10:10:15 - mmengine - INFO - Epoch(train) [5][1180/1879] lr: 5.0000e-03 eta: 2 days, 9:26:26 time: 0.4236 data_time: 0.0159 memory: 17087 grad_norm: 5.5500 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.6176 loss: 2.6176 2022/08/03 10:10:24 - mmengine - INFO - Epoch(train) [5][1200/1879] lr: 5.0000e-03 eta: 2 days, 9:26:04 time: 0.4255 data_time: 0.0169 memory: 17087 grad_norm: 5.6234 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5803 loss: 2.5803 2022/08/03 10:10:33 - mmengine - INFO - Epoch(train) [5][1220/1879] lr: 5.0000e-03 eta: 2 days, 9:25:58 time: 0.4403 data_time: 0.0177 memory: 17087 grad_norm: 5.6035 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6366 loss: 2.6366 2022/08/03 10:10:41 - mmengine - INFO - Epoch(train) [5][1240/1879] lr: 5.0000e-03 eta: 2 days, 9:25:32 time: 0.4212 data_time: 0.0144 memory: 17087 grad_norm: 5.6483 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.7505 loss: 2.7505 2022/08/03 10:10:49 - mmengine - INFO - Epoch(train) [5][1260/1879] lr: 5.0000e-03 eta: 2 days, 9:25:07 time: 0.4231 data_time: 0.0141 memory: 17087 grad_norm: 5.4621 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4719 loss: 2.4719 2022/08/03 10:10:58 - mmengine - INFO - Epoch(train) [5][1280/1879] lr: 5.0000e-03 eta: 2 days, 9:24:42 time: 0.4227 data_time: 0.0143 memory: 17087 grad_norm: 5.5215 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6071 loss: 2.6071 2022/08/03 10:11:06 - mmengine - INFO - Epoch(train) [5][1300/1879] lr: 5.0000e-03 eta: 2 days, 9:24:17 time: 0.4219 data_time: 0.0142 memory: 17087 grad_norm: 5.5537 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3759 loss: 2.3759 2022/08/03 10:11:15 - mmengine - INFO - Epoch(train) [5][1320/1879] lr: 5.0000e-03 eta: 2 days, 9:24:12 time: 0.4416 data_time: 0.0150 memory: 17087 grad_norm: 5.4882 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4411 loss: 2.4411 2022/08/03 10:11:24 - mmengine - INFO - Epoch(train) [5][1340/1879] lr: 5.0000e-03 eta: 2 days, 9:23:48 time: 0.4232 data_time: 0.0149 memory: 17087 grad_norm: 5.5961 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5529 loss: 2.5529 2022/08/03 10:11:32 - mmengine - INFO - Epoch(train) [5][1360/1879] lr: 5.0000e-03 eta: 2 days, 9:23:45 time: 0.4429 data_time: 0.0149 memory: 17087 grad_norm: 5.4980 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4759 loss: 2.4759 2022/08/03 10:11:41 - mmengine - INFO - Epoch(train) [5][1380/1879] lr: 5.0000e-03 eta: 2 days, 9:23:22 time: 0.4241 data_time: 0.0154 memory: 17087 grad_norm: 5.6403 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5686 loss: 2.5686 2022/08/03 10:11:49 - mmengine - INFO - Epoch(train) [5][1400/1879] lr: 5.0000e-03 eta: 2 days, 9:23:02 time: 0.4267 data_time: 0.0165 memory: 17087 grad_norm: 5.5557 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.6871 loss: 2.6871 2022/08/03 10:11:58 - mmengine - INFO - Epoch(train) [5][1420/1879] lr: 5.0000e-03 eta: 2 days, 9:22:37 time: 0.4226 data_time: 0.0141 memory: 17087 grad_norm: 5.6273 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 2.4472 loss: 2.4472 2022/08/03 10:12:06 - mmengine - INFO - Epoch(train) [5][1440/1879] lr: 5.0000e-03 eta: 2 days, 9:22:14 time: 0.4237 data_time: 0.0146 memory: 17087 grad_norm: 5.5970 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4837 loss: 2.4837 2022/08/03 10:12:15 - mmengine - INFO - Epoch(train) [5][1460/1879] lr: 5.0000e-03 eta: 2 days, 9:22:05 time: 0.4378 data_time: 0.0144 memory: 17087 grad_norm: 5.7658 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5390 loss: 2.5390 2022/08/03 10:12:24 - mmengine - INFO - Epoch(train) [5][1480/1879] lr: 5.0000e-03 eta: 2 days, 9:21:42 time: 0.4241 data_time: 0.0152 memory: 17087 grad_norm: 5.6436 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5462 loss: 2.5462 2022/08/03 10:12:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:12:32 - mmengine - INFO - Epoch(train) [5][1500/1879] lr: 5.0000e-03 eta: 2 days, 9:21:21 time: 0.4258 data_time: 0.0162 memory: 17087 grad_norm: 5.6262 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4166 loss: 2.4166 2022/08/03 10:12:41 - mmengine - INFO - Epoch(train) [5][1520/1879] lr: 5.0000e-03 eta: 2 days, 9:20:58 time: 0.4232 data_time: 0.0157 memory: 17087 grad_norm: 5.5215 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4459 loss: 2.4459 2022/08/03 10:12:49 - mmengine - INFO - Epoch(train) [5][1540/1879] lr: 5.0000e-03 eta: 2 days, 9:20:36 time: 0.4254 data_time: 0.0139 memory: 17087 grad_norm: 5.6629 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4833 loss: 2.4833 2022/08/03 10:12:58 - mmengine - INFO - Epoch(train) [5][1560/1879] lr: 5.0000e-03 eta: 2 days, 9:20:27 time: 0.4368 data_time: 0.0152 memory: 17087 grad_norm: 5.7224 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4360 loss: 2.4360 2022/08/03 10:13:06 - mmengine - INFO - Epoch(train) [5][1580/1879] lr: 5.0000e-03 eta: 2 days, 9:20:07 time: 0.4267 data_time: 0.0197 memory: 17087 grad_norm: 5.6765 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.6024 loss: 2.6024 2022/08/03 10:13:15 - mmengine - INFO - Epoch(train) [5][1600/1879] lr: 5.0000e-03 eta: 2 days, 9:19:48 time: 0.4268 data_time: 0.0156 memory: 17087 grad_norm: 5.6361 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.7141 loss: 2.7141 2022/08/03 10:13:23 - mmengine - INFO - Epoch(train) [5][1620/1879] lr: 5.0000e-03 eta: 2 days, 9:19:24 time: 0.4230 data_time: 0.0147 memory: 17087 grad_norm: 5.5217 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6179 loss: 2.6179 2022/08/03 10:13:32 - mmengine - INFO - Epoch(train) [5][1640/1879] lr: 5.0000e-03 eta: 2 days, 9:19:18 time: 0.4398 data_time: 0.0153 memory: 17087 grad_norm: 5.5787 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.8180 loss: 2.8180 2022/08/03 10:13:41 - mmengine - INFO - Epoch(train) [5][1660/1879] lr: 5.0000e-03 eta: 2 days, 9:18:55 time: 0.4238 data_time: 0.0163 memory: 17087 grad_norm: 5.5481 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4216 loss: 2.4216 2022/08/03 10:13:49 - mmengine - INFO - Epoch(train) [5][1680/1879] lr: 5.0000e-03 eta: 2 days, 9:18:35 time: 0.4258 data_time: 0.0146 memory: 17087 grad_norm: 5.4544 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3376 loss: 2.3376 2022/08/03 10:13:58 - mmengine - INFO - Epoch(train) [5][1700/1879] lr: 5.0000e-03 eta: 2 days, 9:18:24 time: 0.4353 data_time: 0.0136 memory: 17087 grad_norm: 5.6842 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6278 loss: 2.6278 2022/08/03 10:14:06 - mmengine - INFO - Epoch(train) [5][1720/1879] lr: 5.0000e-03 eta: 2 days, 9:18:02 time: 0.4247 data_time: 0.0148 memory: 17087 grad_norm: 5.6042 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.7517 loss: 2.7517 2022/08/03 10:14:15 - mmengine - INFO - Epoch(train) [5][1740/1879] lr: 5.0000e-03 eta: 2 days, 9:18:07 time: 0.4506 data_time: 0.0173 memory: 17087 grad_norm: 5.6859 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.5393 loss: 2.5393 2022/08/03 10:14:24 - mmengine - INFO - Epoch(train) [5][1760/1879] lr: 5.0000e-03 eta: 2 days, 9:17:49 time: 0.4275 data_time: 0.0191 memory: 17087 grad_norm: 5.5412 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.5593 loss: 2.5593 2022/08/03 10:14:33 - mmengine - INFO - Epoch(train) [5][1780/1879] lr: 5.0000e-03 eta: 2 days, 9:17:46 time: 0.4432 data_time: 0.0158 memory: 17087 grad_norm: 5.5737 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.4854 loss: 2.4854 2022/08/03 10:14:41 - mmengine - INFO - Epoch(train) [5][1800/1879] lr: 5.0000e-03 eta: 2 days, 9:17:24 time: 0.4241 data_time: 0.0154 memory: 17087 grad_norm: 5.6431 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6330 loss: 2.6330 2022/08/03 10:14:50 - mmengine - INFO - Epoch(train) [5][1820/1879] lr: 5.0000e-03 eta: 2 days, 9:17:20 time: 0.4419 data_time: 0.0144 memory: 17087 grad_norm: 5.6368 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4991 loss: 2.4991 2022/08/03 10:14:59 - mmengine - INFO - Epoch(train) [5][1840/1879] lr: 5.0000e-03 eta: 2 days, 9:16:59 time: 0.4256 data_time: 0.0162 memory: 17087 grad_norm: 5.5639 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4442 loss: 2.4442 2022/08/03 10:15:07 - mmengine - INFO - Epoch(train) [5][1860/1879] lr: 5.0000e-03 eta: 2 days, 9:16:39 time: 0.4253 data_time: 0.0182 memory: 17087 grad_norm: 5.5677 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3900 loss: 2.3900 2022/08/03 10:15:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:15:15 - mmengine - INFO - Epoch(train) [5][1879/1879] lr: 5.0000e-03 eta: 2 days, 9:16:39 time: 0.4246 data_time: 0.0131 memory: 17087 grad_norm: 5.6680 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.5496 loss: 2.5496 2022/08/03 10:16:15 - mmengine - INFO - Epoch(val) [5][20/155] eta: 0:06:45 time: 3.0012 data_time: 2.8336 memory: 2821 2022/08/03 10:16:21 - mmengine - INFO - Epoch(val) [5][40/155] eta: 0:00:29 time: 0.2605 data_time: 0.0956 memory: 2821 2022/08/03 10:16:27 - mmengine - INFO - Epoch(val) [5][60/155] eta: 0:00:30 time: 0.3173 data_time: 0.1532 memory: 2821 2022/08/03 10:16:32 - mmengine - INFO - Epoch(val) [5][80/155] eta: 0:00:20 time: 0.2738 data_time: 0.1092 memory: 2821 2022/08/03 10:16:39 - mmengine - INFO - Epoch(val) [5][100/155] eta: 0:00:17 time: 0.3196 data_time: 0.1566 memory: 2821 2022/08/03 10:16:44 - mmengine - INFO - Epoch(val) [5][120/155] eta: 0:00:09 time: 0.2844 data_time: 0.1203 memory: 2821 2022/08/03 10:16:51 - mmengine - INFO - Epoch(val) [5][140/155] eta: 0:00:05 time: 0.3377 data_time: 0.1724 memory: 2821 2022/08/03 10:17:16 - mmengine - INFO - Epoch(val) [5][155/155] acc/top1: 0.5301 acc/top5: 0.7820 acc/mean1: 0.5299 2022/08/03 10:17:18 - mmengine - INFO - The best checkpoint with 0.5301 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2022/08/03 10:17:29 - mmengine - INFO - Epoch(train) [6][20/1879] lr: 6.0000e-03 eta: 2 days, 9:10:44 time: 0.5159 data_time: 0.1053 memory: 38433 grad_norm: 5.4863 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5865 loss: 2.5865 2022/08/03 10:17:37 - mmengine - INFO - Epoch(train) [6][40/1879] lr: 6.0000e-03 eta: 2 days, 9:10:33 time: 0.4338 data_time: 0.0146 memory: 17087 grad_norm: 5.6006 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3366 loss: 2.3366 2022/08/03 10:17:46 - mmengine - INFO - Epoch(train) [6][60/1879] lr: 6.0000e-03 eta: 2 days, 9:10:12 time: 0.4243 data_time: 0.0146 memory: 17087 grad_norm: 5.6226 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4836 loss: 2.4836 2022/08/03 10:17:54 - mmengine - INFO - Epoch(train) [6][80/1879] lr: 6.0000e-03 eta: 2 days, 9:10:06 time: 0.4390 data_time: 0.0149 memory: 17087 grad_norm: 5.4936 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3307 loss: 2.3307 2022/08/03 10:18:03 - mmengine - INFO - Epoch(train) [6][100/1879] lr: 6.0000e-03 eta: 2 days, 9:09:47 time: 0.4267 data_time: 0.0184 memory: 17087 grad_norm: 5.6676 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4996 loss: 2.4996 2022/08/03 10:18:12 - mmengine - INFO - Epoch(train) [6][120/1879] lr: 6.0000e-03 eta: 2 days, 9:09:39 time: 0.4367 data_time: 0.0149 memory: 17087 grad_norm: 5.5047 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3126 loss: 2.3126 2022/08/03 10:18:20 - mmengine - INFO - Epoch(train) [6][140/1879] lr: 6.0000e-03 eta: 2 days, 9:09:21 time: 0.4268 data_time: 0.0181 memory: 17087 grad_norm: 5.5325 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.5203 loss: 2.5203 2022/08/03 10:18:29 - mmengine - INFO - Epoch(train) [6][160/1879] lr: 6.0000e-03 eta: 2 days, 9:08:59 time: 0.4231 data_time: 0.0165 memory: 17087 grad_norm: 5.5746 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5419 loss: 2.5419 2022/08/03 10:18:37 - mmengine - INFO - Epoch(train) [6][180/1879] lr: 6.0000e-03 eta: 2 days, 9:08:38 time: 0.4241 data_time: 0.0146 memory: 17087 grad_norm: 5.4773 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.4749 loss: 2.4749 2022/08/03 10:18:46 - mmengine - INFO - Epoch(train) [6][200/1879] lr: 6.0000e-03 eta: 2 days, 9:08:19 time: 0.4257 data_time: 0.0165 memory: 17087 grad_norm: 5.5398 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4481 loss: 2.4481 2022/08/03 10:18:54 - mmengine - INFO - Epoch(train) [6][220/1879] lr: 6.0000e-03 eta: 2 days, 9:08:02 time: 0.4287 data_time: 0.0167 memory: 17087 grad_norm: 5.5376 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4861 loss: 2.4861 2022/08/03 10:19:03 - mmengine - INFO - Epoch(train) [6][240/1879] lr: 6.0000e-03 eta: 2 days, 9:07:45 time: 0.4275 data_time: 0.0199 memory: 17087 grad_norm: 5.6235 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4884 loss: 2.4884 2022/08/03 10:19:12 - mmengine - INFO - Epoch(train) [6][260/1879] lr: 6.0000e-03 eta: 2 days, 9:07:41 time: 0.4411 data_time: 0.0154 memory: 17087 grad_norm: 5.5279 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4284 loss: 2.4284 2022/08/03 10:19:20 - mmengine - INFO - Epoch(train) [6][280/1879] lr: 6.0000e-03 eta: 2 days, 9:07:20 time: 0.4233 data_time: 0.0168 memory: 17087 grad_norm: 5.5314 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5018 loss: 2.5018 2022/08/03 10:19:29 - mmengine - INFO - Epoch(train) [6][300/1879] lr: 6.0000e-03 eta: 2 days, 9:07:01 time: 0.4260 data_time: 0.0186 memory: 17087 grad_norm: 5.5174 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6012 loss: 2.6012 2022/08/03 10:19:37 - mmengine - INFO - Epoch(train) [6][320/1879] lr: 6.0000e-03 eta: 2 days, 9:06:45 time: 0.4292 data_time: 0.0189 memory: 17087 grad_norm: 5.6196 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3602 loss: 2.3602 2022/08/03 10:19:46 - mmengine - INFO - Epoch(train) [6][340/1879] lr: 6.0000e-03 eta: 2 days, 9:06:24 time: 0.4235 data_time: 0.0148 memory: 17087 grad_norm: 5.5318 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3555 loss: 2.3555 2022/08/03 10:19:55 - mmengine - INFO - Epoch(train) [6][360/1879] lr: 6.0000e-03 eta: 2 days, 9:06:19 time: 0.4399 data_time: 0.0155 memory: 17087 grad_norm: 5.4892 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4784 loss: 2.4784 2022/08/03 10:20:03 - mmengine - INFO - Epoch(train) [6][380/1879] lr: 6.0000e-03 eta: 2 days, 9:05:55 time: 0.4198 data_time: 0.0136 memory: 17087 grad_norm: 5.5535 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4538 loss: 2.4538 2022/08/03 10:20:12 - mmengine - INFO - Epoch(train) [6][400/1879] lr: 6.0000e-03 eta: 2 days, 9:05:53 time: 0.4436 data_time: 0.0149 memory: 17087 grad_norm: 5.4897 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4732 loss: 2.4732 2022/08/03 10:20:20 - mmengine - INFO - Epoch(train) [6][420/1879] lr: 6.0000e-03 eta: 2 days, 9:05:34 time: 0.4257 data_time: 0.0134 memory: 17087 grad_norm: 5.5874 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5995 loss: 2.5995 2022/08/03 10:20:29 - mmengine - INFO - Epoch(train) [6][440/1879] lr: 6.0000e-03 eta: 2 days, 9:05:14 time: 0.4244 data_time: 0.0146 memory: 17087 grad_norm: 5.5548 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.7349 loss: 2.7349 2022/08/03 10:20:37 - mmengine - INFO - Epoch(train) [6][460/1879] lr: 6.0000e-03 eta: 2 days, 9:04:57 time: 0.4273 data_time: 0.0146 memory: 17087 grad_norm: 5.5742 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4380 loss: 2.4380 2022/08/03 10:20:46 - mmengine - INFO - Epoch(train) [6][480/1879] lr: 6.0000e-03 eta: 2 days, 9:04:38 time: 0.4256 data_time: 0.0169 memory: 17087 grad_norm: 5.5799 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3755 loss: 2.3755 2022/08/03 10:20:54 - mmengine - INFO - Epoch(train) [6][500/1879] lr: 6.0000e-03 eta: 2 days, 9:04:20 time: 0.4257 data_time: 0.0153 memory: 17087 grad_norm: 5.5655 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5343 loss: 2.5343 2022/08/03 10:21:03 - mmengine - INFO - Epoch(train) [6][520/1879] lr: 6.0000e-03 eta: 2 days, 9:04:00 time: 0.4242 data_time: 0.0159 memory: 17087 grad_norm: 5.5682 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4422 loss: 2.4422 2022/08/03 10:21:12 - mmengine - INFO - Epoch(train) [6][540/1879] lr: 6.0000e-03 eta: 2 days, 9:03:53 time: 0.4388 data_time: 0.0137 memory: 17087 grad_norm: 5.5764 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6110 loss: 2.6110 2022/08/03 10:21:20 - mmengine - INFO - Epoch(train) [6][560/1879] lr: 6.0000e-03 eta: 2 days, 9:03:34 time: 0.4250 data_time: 0.0154 memory: 17087 grad_norm: 5.6035 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3775 loss: 2.3775 2022/08/03 10:21:29 - mmengine - INFO - Epoch(train) [6][580/1879] lr: 6.0000e-03 eta: 2 days, 9:03:12 time: 0.4220 data_time: 0.0145 memory: 17087 grad_norm: 5.6228 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5138 loss: 2.5138 2022/08/03 10:21:37 - mmengine - INFO - Epoch(train) [6][600/1879] lr: 6.0000e-03 eta: 2 days, 9:02:56 time: 0.4275 data_time: 0.0177 memory: 17087 grad_norm: 5.4782 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4557 loss: 2.4557 2022/08/03 10:21:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:21:46 - mmengine - INFO - Epoch(train) [6][620/1879] lr: 6.0000e-03 eta: 2 days, 9:02:34 time: 0.4228 data_time: 0.0150 memory: 17087 grad_norm: 5.5954 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1434 loss: 2.1434 2022/08/03 10:21:54 - mmengine - INFO - Epoch(train) [6][640/1879] lr: 6.0000e-03 eta: 2 days, 9:02:26 time: 0.4366 data_time: 0.0152 memory: 17087 grad_norm: 5.5365 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0905 loss: 2.0905 2022/08/03 10:22:03 - mmengine - INFO - Epoch(train) [6][660/1879] lr: 6.0000e-03 eta: 2 days, 9:02:06 time: 0.4232 data_time: 0.0138 memory: 17087 grad_norm: 5.4925 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5813 loss: 2.5813 2022/08/03 10:22:11 - mmengine - INFO - Epoch(train) [6][680/1879] lr: 6.0000e-03 eta: 2 days, 9:01:45 time: 0.4236 data_time: 0.0166 memory: 17087 grad_norm: 5.5400 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3615 loss: 2.3615 2022/08/03 10:22:20 - mmengine - INFO - Epoch(train) [6][700/1879] lr: 6.0000e-03 eta: 2 days, 9:01:25 time: 0.4231 data_time: 0.0134 memory: 17087 grad_norm: 5.4891 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5106 loss: 2.5106 2022/08/03 10:22:28 - mmengine - INFO - Epoch(train) [6][720/1879] lr: 6.0000e-03 eta: 2 days, 9:01:04 time: 0.4237 data_time: 0.0156 memory: 17087 grad_norm: 5.6213 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9540 loss: 1.9540 2022/08/03 10:22:37 - mmengine - INFO - Epoch(train) [6][740/1879] lr: 6.0000e-03 eta: 2 days, 9:00:58 time: 0.4386 data_time: 0.0151 memory: 17087 grad_norm: 5.6614 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.6434 loss: 2.6434 2022/08/03 10:22:46 - mmengine - INFO - Epoch(train) [6][760/1879] lr: 6.0000e-03 eta: 2 days, 9:00:42 time: 0.4280 data_time: 0.0186 memory: 17087 grad_norm: 5.5989 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4760 loss: 2.4760 2022/08/03 10:22:54 - mmengine - INFO - Epoch(train) [6][780/1879] lr: 6.0000e-03 eta: 2 days, 9:00:35 time: 0.4372 data_time: 0.0151 memory: 17087 grad_norm: 5.5942 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3453 loss: 2.3453 2022/08/03 10:23:03 - mmengine - INFO - Epoch(train) [6][800/1879] lr: 6.0000e-03 eta: 2 days, 9:00:14 time: 0.4232 data_time: 0.0148 memory: 17087 grad_norm: 5.5106 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.4491 loss: 2.4491 2022/08/03 10:23:11 - mmengine - INFO - Epoch(train) [6][820/1879] lr: 6.0000e-03 eta: 2 days, 9:00:00 time: 0.4301 data_time: 0.0162 memory: 17087 grad_norm: 5.6390 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.6610 loss: 2.6610 2022/08/03 10:23:20 - mmengine - INFO - Epoch(train) [6][840/1879] lr: 6.0000e-03 eta: 2 days, 8:59:40 time: 0.4233 data_time: 0.0155 memory: 17087 grad_norm: 5.5496 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5063 loss: 2.5063 2022/08/03 10:23:28 - mmengine - INFO - Epoch(train) [6][860/1879] lr: 6.0000e-03 eta: 2 days, 8:59:19 time: 0.4225 data_time: 0.0140 memory: 17087 grad_norm: 5.6035 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3405 loss: 2.3405 2022/08/03 10:23:37 - mmengine - INFO - Epoch(train) [6][880/1879] lr: 6.0000e-03 eta: 2 days, 8:59:06 time: 0.4307 data_time: 0.0151 memory: 17087 grad_norm: 5.5149 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4353 loss: 2.4353 2022/08/03 10:23:45 - mmengine - INFO - Epoch(train) [6][900/1879] lr: 6.0000e-03 eta: 2 days, 8:58:47 time: 0.4245 data_time: 0.0143 memory: 17087 grad_norm: 5.6747 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4212 loss: 2.4212 2022/08/03 10:23:54 - mmengine - INFO - Epoch(train) [6][920/1879] lr: 6.0000e-03 eta: 2 days, 8:58:36 time: 0.4335 data_time: 0.0161 memory: 17087 grad_norm: 5.5616 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6204 loss: 2.6204 2022/08/03 10:24:03 - mmengine - INFO - Epoch(train) [6][940/1879] lr: 6.0000e-03 eta: 2 days, 8:58:16 time: 0.4232 data_time: 0.0143 memory: 17087 grad_norm: 5.4677 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5116 loss: 2.5116 2022/08/03 10:24:11 - mmengine - INFO - Epoch(train) [6][960/1879] lr: 6.0000e-03 eta: 2 days, 8:58:11 time: 0.4404 data_time: 0.0150 memory: 17087 grad_norm: 5.5742 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.7017 loss: 2.7017 2022/08/03 10:24:20 - mmengine - INFO - Epoch(train) [6][980/1879] lr: 6.0000e-03 eta: 2 days, 8:57:50 time: 0.4217 data_time: 0.0135 memory: 17087 grad_norm: 5.4602 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4501 loss: 2.4501 2022/08/03 10:24:28 - mmengine - INFO - Epoch(train) [6][1000/1879] lr: 6.0000e-03 eta: 2 days, 8:57:35 time: 0.4293 data_time: 0.0142 memory: 17087 grad_norm: 5.6711 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.5656 loss: 2.5656 2022/08/03 10:24:37 - mmengine - INFO - Epoch(train) [6][1020/1879] lr: 6.0000e-03 eta: 2 days, 8:57:19 time: 0.4278 data_time: 0.0143 memory: 17087 grad_norm: 5.6689 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4293 loss: 2.4293 2022/08/03 10:24:45 - mmengine - INFO - Epoch(train) [6][1040/1879] lr: 6.0000e-03 eta: 2 days, 8:57:01 time: 0.4247 data_time: 0.0156 memory: 17087 grad_norm: 5.4114 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.4066 loss: 2.4066 2022/08/03 10:24:54 - mmengine - INFO - Epoch(train) [6][1060/1879] lr: 6.0000e-03 eta: 2 days, 8:56:49 time: 0.4327 data_time: 0.0152 memory: 17087 grad_norm: 5.4516 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5224 loss: 2.5224 2022/08/03 10:25:03 - mmengine - INFO - Epoch(train) [6][1080/1879] lr: 6.0000e-03 eta: 2 days, 8:56:34 time: 0.4279 data_time: 0.0196 memory: 17087 grad_norm: 5.5513 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5937 loss: 2.5937 2022/08/03 10:25:11 - mmengine - INFO - Epoch(train) [6][1100/1879] lr: 6.0000e-03 eta: 2 days, 8:56:27 time: 0.4380 data_time: 0.0164 memory: 17087 grad_norm: 5.3885 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4467 loss: 2.4467 2022/08/03 10:25:20 - mmengine - INFO - Epoch(train) [6][1120/1879] lr: 6.0000e-03 eta: 2 days, 8:56:08 time: 0.4247 data_time: 0.0148 memory: 17087 grad_norm: 5.4741 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5202 loss: 2.5202 2022/08/03 10:25:28 - mmengine - INFO - Epoch(train) [6][1140/1879] lr: 6.0000e-03 eta: 2 days, 8:55:52 time: 0.4275 data_time: 0.0195 memory: 17087 grad_norm: 5.5366 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.4074 loss: 2.4074 2022/08/03 10:25:37 - mmengine - INFO - Epoch(train) [6][1160/1879] lr: 6.0000e-03 eta: 2 days, 8:55:36 time: 0.4269 data_time: 0.0167 memory: 17087 grad_norm: 5.5303 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6494 loss: 2.6494 2022/08/03 10:25:45 - mmengine - INFO - Epoch(train) [6][1180/1879] lr: 6.0000e-03 eta: 2 days, 8:55:19 time: 0.4260 data_time: 0.0191 memory: 17087 grad_norm: 5.3313 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5337 loss: 2.5337 2022/08/03 10:25:54 - mmengine - INFO - Epoch(train) [6][1200/1879] lr: 6.0000e-03 eta: 2 days, 8:55:02 time: 0.4264 data_time: 0.0158 memory: 17087 grad_norm: 5.4362 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3805 loss: 2.3805 2022/08/03 10:26:03 - mmengine - INFO - Epoch(train) [6][1220/1879] lr: 6.0000e-03 eta: 2 days, 8:54:43 time: 0.4242 data_time: 0.0180 memory: 17087 grad_norm: 5.5072 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4113 loss: 2.4113 2022/08/03 10:26:11 - mmengine - INFO - Epoch(train) [6][1240/1879] lr: 6.0000e-03 eta: 2 days, 8:54:28 time: 0.4283 data_time: 0.0168 memory: 17087 grad_norm: 5.5391 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.5141 loss: 2.5141 2022/08/03 10:26:19 - mmengine - INFO - Epoch(train) [6][1260/1879] lr: 6.0000e-03 eta: 2 days, 8:54:06 time: 0.4209 data_time: 0.0125 memory: 17087 grad_norm: 5.4326 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.5872 loss: 2.5872 2022/08/03 10:26:28 - mmengine - INFO - Epoch(train) [6][1280/1879] lr: 6.0000e-03 eta: 2 days, 8:53:48 time: 0.4249 data_time: 0.0154 memory: 17087 grad_norm: 5.6652 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.5379 loss: 2.5379 2022/08/03 10:26:37 - mmengine - INFO - Epoch(train) [6][1300/1879] lr: 6.0000e-03 eta: 2 days, 8:53:33 time: 0.4280 data_time: 0.0149 memory: 17087 grad_norm: 5.4699 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5054 loss: 2.5054 2022/08/03 10:26:45 - mmengine - INFO - Epoch(train) [6][1320/1879] lr: 6.0000e-03 eta: 2 days, 8:53:18 time: 0.4288 data_time: 0.0163 memory: 17087 grad_norm: 5.4463 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4329 loss: 2.4329 2022/08/03 10:26:54 - mmengine - INFO - Epoch(train) [6][1340/1879] lr: 6.0000e-03 eta: 2 days, 8:53:17 time: 0.4442 data_time: 0.0140 memory: 17087 grad_norm: 5.5809 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3167 loss: 2.3167 2022/08/03 10:27:03 - mmengine - INFO - Epoch(train) [6][1360/1879] lr: 6.0000e-03 eta: 2 days, 8:53:05 time: 0.4314 data_time: 0.0202 memory: 17087 grad_norm: 5.5503 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4267 loss: 2.4267 2022/08/03 10:27:11 - mmengine - INFO - Epoch(train) [6][1380/1879] lr: 6.0000e-03 eta: 2 days, 8:52:48 time: 0.4256 data_time: 0.0153 memory: 17087 grad_norm: 5.4317 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4048 loss: 2.4048 2022/08/03 10:27:20 - mmengine - INFO - Epoch(train) [6][1400/1879] lr: 6.0000e-03 eta: 2 days, 8:52:29 time: 0.4240 data_time: 0.0150 memory: 17087 grad_norm: 5.6449 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5286 loss: 2.5286 2022/08/03 10:27:28 - mmengine - INFO - Epoch(train) [6][1420/1879] lr: 6.0000e-03 eta: 2 days, 8:52:09 time: 0.4229 data_time: 0.0142 memory: 17087 grad_norm: 5.4346 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5139 loss: 2.5139 2022/08/03 10:27:37 - mmengine - INFO - Epoch(train) [6][1440/1879] lr: 6.0000e-03 eta: 2 days, 8:51:55 time: 0.4289 data_time: 0.0166 memory: 17087 grad_norm: 5.4815 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4992 loss: 2.4992 2022/08/03 10:27:45 - mmengine - INFO - Epoch(train) [6][1460/1879] lr: 6.0000e-03 eta: 2 days, 8:51:41 time: 0.4293 data_time: 0.0139 memory: 17087 grad_norm: 5.4459 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4256 loss: 2.4256 2022/08/03 10:27:54 - mmengine - INFO - Epoch(train) [6][1480/1879] lr: 6.0000e-03 eta: 2 days, 8:51:25 time: 0.4273 data_time: 0.0161 memory: 17087 grad_norm: 5.4317 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.4153 loss: 2.4153 2022/08/03 10:28:02 - mmengine - INFO - Epoch(train) [6][1500/1879] lr: 6.0000e-03 eta: 2 days, 8:51:05 time: 0.4219 data_time: 0.0138 memory: 17087 grad_norm: 5.5462 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7591 loss: 2.7591 2022/08/03 10:28:11 - mmengine - INFO - Epoch(train) [6][1520/1879] lr: 6.0000e-03 eta: 2 days, 8:50:56 time: 0.4349 data_time: 0.0151 memory: 17087 grad_norm: 5.5493 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2741 loss: 2.2741 2022/08/03 10:28:19 - mmengine - INFO - Epoch(train) [6][1540/1879] lr: 6.0000e-03 eta: 2 days, 8:50:37 time: 0.4237 data_time: 0.0168 memory: 17087 grad_norm: 5.5655 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5072 loss: 2.5072 2022/08/03 10:28:28 - mmengine - INFO - Epoch(train) [6][1560/1879] lr: 6.0000e-03 eta: 2 days, 8:50:20 time: 0.4250 data_time: 0.0151 memory: 17087 grad_norm: 5.5182 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4311 loss: 2.4311 2022/08/03 10:28:36 - mmengine - INFO - Epoch(train) [6][1580/1879] lr: 6.0000e-03 eta: 2 days, 8:50:00 time: 0.4225 data_time: 0.0137 memory: 17087 grad_norm: 5.4699 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4094 loss: 2.4094 2022/08/03 10:28:45 - mmengine - INFO - Epoch(train) [6][1600/1879] lr: 6.0000e-03 eta: 2 days, 8:49:41 time: 0.4232 data_time: 0.0166 memory: 17087 grad_norm: 5.4477 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3331 loss: 2.3331 2022/08/03 10:28:47 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:28:54 - mmengine - INFO - Epoch(train) [6][1620/1879] lr: 6.0000e-03 eta: 2 days, 8:49:32 time: 0.4353 data_time: 0.0150 memory: 17087 grad_norm: 5.4908 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4901 loss: 2.4901 2022/08/03 10:29:02 - mmengine - INFO - Epoch(train) [6][1640/1879] lr: 6.0000e-03 eta: 2 days, 8:49:14 time: 0.4246 data_time: 0.0162 memory: 17087 grad_norm: 5.5869 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3435 loss: 2.3435 2022/08/03 10:29:10 - mmengine - INFO - Epoch(train) [6][1660/1879] lr: 6.0000e-03 eta: 2 days, 8:48:55 time: 0.4229 data_time: 0.0140 memory: 17087 grad_norm: 5.4701 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4038 loss: 2.4038 2022/08/03 10:29:19 - mmengine - INFO - Epoch(train) [6][1680/1879] lr: 6.0000e-03 eta: 2 days, 8:48:38 time: 0.4257 data_time: 0.0181 memory: 17087 grad_norm: 5.4416 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4404 loss: 2.4404 2022/08/03 10:29:27 - mmengine - INFO - Epoch(train) [6][1700/1879] lr: 6.0000e-03 eta: 2 days, 8:48:20 time: 0.4233 data_time: 0.0135 memory: 17087 grad_norm: 5.4857 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5233 loss: 2.5233 2022/08/03 10:29:36 - mmengine - INFO - Epoch(train) [6][1720/1879] lr: 6.0000e-03 eta: 2 days, 8:48:19 time: 0.4446 data_time: 0.0145 memory: 17087 grad_norm: 5.5357 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 2.5501 loss: 2.5501 2022/08/03 10:29:45 - mmengine - INFO - Epoch(train) [6][1740/1879] lr: 6.0000e-03 eta: 2 days, 8:48:00 time: 0.4230 data_time: 0.0150 memory: 17087 grad_norm: 5.4328 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4210 loss: 2.4210 2022/08/03 10:29:53 - mmengine - INFO - Epoch(train) [6][1760/1879] lr: 6.0000e-03 eta: 2 days, 8:47:45 time: 0.4278 data_time: 0.0170 memory: 17087 grad_norm: 5.4343 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5502 loss: 2.5502 2022/08/03 10:30:02 - mmengine - INFO - Epoch(train) [6][1780/1879] lr: 6.0000e-03 eta: 2 days, 8:47:26 time: 0.4233 data_time: 0.0147 memory: 17087 grad_norm: 5.4426 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3677 loss: 2.3677 2022/08/03 10:30:10 - mmengine - INFO - Epoch(train) [6][1800/1879] lr: 6.0000e-03 eta: 2 days, 8:47:07 time: 0.4225 data_time: 0.0142 memory: 17087 grad_norm: 5.4414 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4702 loss: 2.4702 2022/08/03 10:30:19 - mmengine - INFO - Epoch(train) [6][1820/1879] lr: 6.0000e-03 eta: 2 days, 8:47:07 time: 0.4450 data_time: 0.0142 memory: 17087 grad_norm: 5.6119 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3366 loss: 2.3366 2022/08/03 10:30:28 - mmengine - INFO - Epoch(train) [6][1840/1879] lr: 6.0000e-03 eta: 2 days, 8:46:54 time: 0.4311 data_time: 0.0218 memory: 17087 grad_norm: 5.5601 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.5941 loss: 2.5941 2022/08/03 10:30:36 - mmengine - INFO - Epoch(train) [6][1860/1879] lr: 6.0000e-03 eta: 2 days, 8:46:40 time: 0.4282 data_time: 0.0149 memory: 17087 grad_norm: 5.5418 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7353 loss: 2.7353 2022/08/03 10:30:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:30:44 - mmengine - INFO - Epoch(train) [6][1879/1879] lr: 6.0000e-03 eta: 2 days, 8:46:40 time: 0.4043 data_time: 0.0150 memory: 17087 grad_norm: 5.6238 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.4406 loss: 2.4406 2022/08/03 10:30:55 - mmengine - INFO - Epoch(train) [7][20/1879] lr: 7.0000e-03 eta: 2 days, 8:42:08 time: 0.5413 data_time: 0.1155 memory: 17087 grad_norm: 5.4194 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.3855 loss: 2.3855 2022/08/03 10:31:04 - mmengine - INFO - Epoch(train) [7][40/1879] lr: 7.0000e-03 eta: 2 days, 8:42:04 time: 0.4404 data_time: 0.0200 memory: 17087 grad_norm: 5.4485 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3679 loss: 2.3679 2022/08/03 10:31:12 - mmengine - INFO - Epoch(train) [7][60/1879] lr: 7.0000e-03 eta: 2 days, 8:41:46 time: 0.4239 data_time: 0.0142 memory: 17087 grad_norm: 5.5429 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5769 loss: 2.5769 2022/08/03 10:31:21 - mmengine - INFO - Epoch(train) [7][80/1879] lr: 7.0000e-03 eta: 2 days, 8:41:28 time: 0.4233 data_time: 0.0157 memory: 17087 grad_norm: 5.4529 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.4779 loss: 2.4779 2022/08/03 10:31:29 - mmengine - INFO - Epoch(train) [7][100/1879] lr: 7.0000e-03 eta: 2 days, 8:41:15 time: 0.4287 data_time: 0.0165 memory: 17087 grad_norm: 5.5144 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 2.2591 loss: 2.2591 2022/08/03 10:31:38 - mmengine - INFO - Epoch(train) [7][120/1879] lr: 7.0000e-03 eta: 2 days, 8:40:58 time: 0.4250 data_time: 0.0147 memory: 17087 grad_norm: 5.3990 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.4788 loss: 2.4788 2022/08/03 10:31:46 - mmengine - INFO - Epoch(train) [7][140/1879] lr: 7.0000e-03 eta: 2 days, 8:40:41 time: 0.4240 data_time: 0.0147 memory: 17087 grad_norm: 5.4273 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3128 loss: 2.3128 2022/08/03 10:31:55 - mmengine - INFO - Epoch(train) [7][160/1879] lr: 7.0000e-03 eta: 2 days, 8:40:27 time: 0.4288 data_time: 0.0146 memory: 17087 grad_norm: 5.5174 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3645 loss: 2.3645 2022/08/03 10:32:03 - mmengine - INFO - Epoch(train) [7][180/1879] lr: 7.0000e-03 eta: 2 days, 8:40:10 time: 0.4243 data_time: 0.0147 memory: 17087 grad_norm: 5.4894 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2829 loss: 2.2829 2022/08/03 10:32:12 - mmengine - INFO - Epoch(train) [7][200/1879] lr: 7.0000e-03 eta: 2 days, 8:39:54 time: 0.4250 data_time: 0.0164 memory: 17087 grad_norm: 5.3042 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.5373 loss: 2.5373 2022/08/03 10:32:20 - mmengine - INFO - Epoch(train) [7][220/1879] lr: 7.0000e-03 eta: 2 days, 8:39:38 time: 0.4256 data_time: 0.0143 memory: 17087 grad_norm: 5.3333 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5429 loss: 2.5429 2022/08/03 10:32:29 - mmengine - INFO - Epoch(train) [7][240/1879] lr: 7.0000e-03 eta: 2 days, 8:39:21 time: 0.4236 data_time: 0.0161 memory: 17087 grad_norm: 5.3268 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3501 loss: 2.3501 2022/08/03 10:32:37 - mmengine - INFO - Epoch(train) [7][260/1879] lr: 7.0000e-03 eta: 2 days, 8:39:08 time: 0.4298 data_time: 0.0174 memory: 17087 grad_norm: 5.6000 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5447 loss: 2.5447 2022/08/03 10:32:46 - mmengine - INFO - Epoch(train) [7][280/1879] lr: 7.0000e-03 eta: 2 days, 8:38:51 time: 0.4238 data_time: 0.0147 memory: 17087 grad_norm: 5.3138 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3283 loss: 2.3283 2022/08/03 10:32:55 - mmengine - INFO - Epoch(train) [7][300/1879] lr: 7.0000e-03 eta: 2 days, 8:38:41 time: 0.4335 data_time: 0.0171 memory: 17087 grad_norm: 5.4982 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4856 loss: 2.4856 2022/08/03 10:33:03 - mmengine - INFO - Epoch(train) [7][320/1879] lr: 7.0000e-03 eta: 2 days, 8:38:24 time: 0.4234 data_time: 0.0149 memory: 17087 grad_norm: 5.3368 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4160 loss: 2.4160 2022/08/03 10:33:12 - mmengine - INFO - Epoch(train) [7][340/1879] lr: 7.0000e-03 eta: 2 days, 8:38:10 time: 0.4273 data_time: 0.0152 memory: 17087 grad_norm: 5.4246 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.4309 loss: 2.4309 2022/08/03 10:33:20 - mmengine - INFO - Epoch(train) [7][360/1879] lr: 7.0000e-03 eta: 2 days, 8:37:51 time: 0.4218 data_time: 0.0174 memory: 17087 grad_norm: 5.3764 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.4268 loss: 2.4268 2022/08/03 10:33:28 - mmengine - INFO - Epoch(train) [7][380/1879] lr: 7.0000e-03 eta: 2 days, 8:37:33 time: 0.4228 data_time: 0.0160 memory: 17087 grad_norm: 5.5653 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.6621 loss: 2.6621 2022/08/03 10:33:37 - mmengine - INFO - Epoch(train) [7][400/1879] lr: 7.0000e-03 eta: 2 days, 8:37:29 time: 0.4401 data_time: 0.0148 memory: 17087 grad_norm: 5.5240 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4240 loss: 2.4240 2022/08/03 10:33:46 - mmengine - INFO - Epoch(train) [7][420/1879] lr: 7.0000e-03 eta: 2 days, 8:37:13 time: 0.4260 data_time: 0.0153 memory: 17087 grad_norm: 5.4706 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6020 loss: 2.6020 2022/08/03 10:33:55 - mmengine - INFO - Epoch(train) [7][440/1879] lr: 7.0000e-03 eta: 2 days, 8:37:14 time: 0.4464 data_time: 0.0165 memory: 17087 grad_norm: 5.4081 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4861 loss: 2.4861 2022/08/03 10:34:03 - mmengine - INFO - Epoch(train) [7][460/1879] lr: 7.0000e-03 eta: 2 days, 8:36:57 time: 0.4232 data_time: 0.0170 memory: 17087 grad_norm: 5.4060 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.5295 loss: 2.5295 2022/08/03 10:34:12 - mmengine - INFO - Epoch(train) [7][480/1879] lr: 7.0000e-03 eta: 2 days, 8:36:55 time: 0.4426 data_time: 0.0213 memory: 17087 grad_norm: 5.3649 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3707 loss: 2.3707 2022/08/03 10:34:20 - mmengine - INFO - Epoch(train) [7][500/1879] lr: 7.0000e-03 eta: 2 days, 8:36:36 time: 0.4222 data_time: 0.0135 memory: 17087 grad_norm: 5.4867 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.3860 loss: 2.3860 2022/08/03 10:34:29 - mmengine - INFO - Epoch(train) [7][520/1879] lr: 7.0000e-03 eta: 2 days, 8:36:19 time: 0.4235 data_time: 0.0143 memory: 17087 grad_norm: 5.3687 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6228 loss: 2.6228 2022/08/03 10:34:38 - mmengine - INFO - Epoch(train) [7][540/1879] lr: 7.0000e-03 eta: 2 days, 8:36:12 time: 0.4360 data_time: 0.0154 memory: 17087 grad_norm: 5.2720 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 2.4807 loss: 2.4807 2022/08/03 10:34:46 - mmengine - INFO - Epoch(train) [7][560/1879] lr: 7.0000e-03 eta: 2 days, 8:35:55 time: 0.4237 data_time: 0.0155 memory: 17087 grad_norm: 5.4347 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3049 loss: 2.3049 2022/08/03 10:34:55 - mmengine - INFO - Epoch(train) [7][580/1879] lr: 7.0000e-03 eta: 2 days, 8:35:38 time: 0.4242 data_time: 0.0150 memory: 17087 grad_norm: 5.3138 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2287 loss: 2.2287 2022/08/03 10:35:03 - mmengine - INFO - Epoch(train) [7][600/1879] lr: 7.0000e-03 eta: 2 days, 8:35:19 time: 0.4208 data_time: 0.0144 memory: 17087 grad_norm: 5.3686 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4872 loss: 2.4872 2022/08/03 10:35:12 - mmengine - INFO - Epoch(train) [7][620/1879] lr: 7.0000e-03 eta: 2 days, 8:35:04 time: 0.4262 data_time: 0.0144 memory: 17087 grad_norm: 5.4027 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1981 loss: 2.1981 2022/08/03 10:35:20 - mmengine - INFO - Epoch(train) [7][640/1879] lr: 7.0000e-03 eta: 2 days, 8:34:47 time: 0.4240 data_time: 0.0146 memory: 17087 grad_norm: 5.4610 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4885 loss: 2.4885 2022/08/03 10:35:28 - mmengine - INFO - Epoch(train) [7][660/1879] lr: 7.0000e-03 eta: 2 days, 8:34:28 time: 0.4214 data_time: 0.0138 memory: 17087 grad_norm: 5.4615 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5396 loss: 2.5396 2022/08/03 10:35:37 - mmengine - INFO - Epoch(train) [7][680/1879] lr: 7.0000e-03 eta: 2 days, 8:34:23 time: 0.4391 data_time: 0.0153 memory: 17087 grad_norm: 5.3073 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3669 loss: 2.3669 2022/08/03 10:35:46 - mmengine - INFO - Epoch(train) [7][700/1879] lr: 7.0000e-03 eta: 2 days, 8:34:06 time: 0.4230 data_time: 0.0142 memory: 17087 grad_norm: 5.4764 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4196 loss: 2.4196 2022/08/03 10:35:55 - mmengine - INFO - Epoch(train) [7][720/1879] lr: 7.0000e-03 eta: 2 days, 8:34:13 time: 0.4545 data_time: 0.0150 memory: 17087 grad_norm: 5.4956 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.2768 loss: 2.2768 2022/08/03 10:35:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:36:03 - mmengine - INFO - Epoch(train) [7][740/1879] lr: 7.0000e-03 eta: 2 days, 8:34:00 time: 0.4283 data_time: 0.0198 memory: 17087 grad_norm: 5.5263 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1342 loss: 2.1342 2022/08/03 10:36:12 - mmengine - INFO - Epoch(train) [7][760/1879] lr: 7.0000e-03 eta: 2 days, 8:33:43 time: 0.4233 data_time: 0.0159 memory: 17087 grad_norm: 5.4343 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4089 loss: 2.4089 2022/08/03 10:36:20 - mmengine - INFO - Epoch(train) [7][780/1879] lr: 7.0000e-03 eta: 2 days, 8:33:26 time: 0.4234 data_time: 0.0143 memory: 17087 grad_norm: 5.4428 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3796 loss: 2.3796 2022/08/03 10:36:29 - mmengine - INFO - Epoch(train) [7][800/1879] lr: 7.0000e-03 eta: 2 days, 8:33:10 time: 0.4246 data_time: 0.0156 memory: 17087 grad_norm: 5.4921 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4133 loss: 2.4133 2022/08/03 10:36:38 - mmengine - INFO - Epoch(train) [7][820/1879] lr: 7.0000e-03 eta: 2 days, 8:33:07 time: 0.4423 data_time: 0.0138 memory: 17087 grad_norm: 5.4658 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2521 loss: 2.2521 2022/08/03 10:36:46 - mmengine - INFO - Epoch(train) [7][840/1879] lr: 7.0000e-03 eta: 2 days, 8:32:54 time: 0.4284 data_time: 0.0160 memory: 17087 grad_norm: 5.2878 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4283 loss: 2.4283 2022/08/03 10:36:55 - mmengine - INFO - Epoch(train) [7][860/1879] lr: 7.0000e-03 eta: 2 days, 8:32:39 time: 0.4262 data_time: 0.0120 memory: 17087 grad_norm: 5.3356 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.6422 loss: 2.6422 2022/08/03 10:37:03 - mmengine - INFO - Epoch(train) [7][880/1879] lr: 7.0000e-03 eta: 2 days, 8:32:24 time: 0.4255 data_time: 0.0157 memory: 17087 grad_norm: 5.3412 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4325 loss: 2.4325 2022/08/03 10:37:12 - mmengine - INFO - Epoch(train) [7][900/1879] lr: 7.0000e-03 eta: 2 days, 8:32:07 time: 0.4236 data_time: 0.0141 memory: 17087 grad_norm: 5.3171 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3878 loss: 2.3878 2022/08/03 10:37:20 - mmengine - INFO - Epoch(train) [7][920/1879] lr: 7.0000e-03 eta: 2 days, 8:31:52 time: 0.4255 data_time: 0.0181 memory: 17087 grad_norm: 5.2950 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4238 loss: 2.4238 2022/08/03 10:37:29 - mmengine - INFO - Epoch(train) [7][940/1879] lr: 7.0000e-03 eta: 2 days, 8:31:34 time: 0.4225 data_time: 0.0142 memory: 17087 grad_norm: 5.3907 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5443 loss: 2.5443 2022/08/03 10:37:37 - mmengine - INFO - Epoch(train) [7][960/1879] lr: 7.0000e-03 eta: 2 days, 8:31:19 time: 0.4260 data_time: 0.0165 memory: 17087 grad_norm: 5.1887 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4528 loss: 2.4528 2022/08/03 10:37:46 - mmengine - INFO - Epoch(train) [7][980/1879] lr: 7.0000e-03 eta: 2 days, 8:31:14 time: 0.4384 data_time: 0.0150 memory: 17087 grad_norm: 5.3196 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.4652 loss: 2.4652 2022/08/03 10:37:55 - mmengine - INFO - Epoch(train) [7][1000/1879] lr: 7.0000e-03 eta: 2 days, 8:31:00 time: 0.4266 data_time: 0.0160 memory: 17087 grad_norm: 5.4230 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4406 loss: 2.4406 2022/08/03 10:38:03 - mmengine - INFO - Epoch(train) [7][1020/1879] lr: 7.0000e-03 eta: 2 days, 8:30:45 time: 0.4258 data_time: 0.0157 memory: 17087 grad_norm: 5.4047 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2429 loss: 2.2429 2022/08/03 10:38:12 - mmengine - INFO - Epoch(train) [7][1040/1879] lr: 7.0000e-03 eta: 2 days, 8:30:29 time: 0.4248 data_time: 0.0145 memory: 17087 grad_norm: 5.4036 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4366 loss: 2.4366 2022/08/03 10:38:20 - mmengine - INFO - Epoch(train) [7][1060/1879] lr: 7.0000e-03 eta: 2 days, 8:30:23 time: 0.4378 data_time: 0.0126 memory: 17087 grad_norm: 5.4693 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3913 loss: 2.3913 2022/08/03 10:38:29 - mmengine - INFO - Epoch(train) [7][1080/1879] lr: 7.0000e-03 eta: 2 days, 8:30:09 time: 0.4273 data_time: 0.0182 memory: 17087 grad_norm: 5.4002 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4392 loss: 2.4392 2022/08/03 10:38:37 - mmengine - INFO - Epoch(train) [7][1100/1879] lr: 7.0000e-03 eta: 2 days, 8:29:56 time: 0.4276 data_time: 0.0151 memory: 17087 grad_norm: 5.4443 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.4148 loss: 2.4148 2022/08/03 10:38:46 - mmengine - INFO - Epoch(train) [7][1120/1879] lr: 7.0000e-03 eta: 2 days, 8:29:40 time: 0.4241 data_time: 0.0150 memory: 17087 grad_norm: 5.3940 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3661 loss: 2.3661 2022/08/03 10:38:55 - mmengine - INFO - Epoch(train) [7][1140/1879] lr: 7.0000e-03 eta: 2 days, 8:29:32 time: 0.4351 data_time: 0.0142 memory: 17087 grad_norm: 5.4691 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2771 loss: 2.2771 2022/08/03 10:39:03 - mmengine - INFO - Epoch(train) [7][1160/1879] lr: 7.0000e-03 eta: 2 days, 8:29:19 time: 0.4287 data_time: 0.0194 memory: 17087 grad_norm: 5.3147 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5781 loss: 2.5781 2022/08/03 10:39:12 - mmengine - INFO - Epoch(train) [7][1180/1879] lr: 7.0000e-03 eta: 2 days, 8:29:04 time: 0.4253 data_time: 0.0142 memory: 17087 grad_norm: 5.3547 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2801 loss: 2.2801 2022/08/03 10:39:20 - mmengine - INFO - Epoch(train) [7][1200/1879] lr: 7.0000e-03 eta: 2 days, 8:28:57 time: 0.4354 data_time: 0.0155 memory: 17087 grad_norm: 5.3090 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3005 loss: 2.3005 2022/08/03 10:39:29 - mmengine - INFO - Epoch(train) [7][1220/1879] lr: 7.0000e-03 eta: 2 days, 8:28:44 time: 0.4288 data_time: 0.0157 memory: 17087 grad_norm: 5.3146 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1957 loss: 2.1957 2022/08/03 10:39:37 - mmengine - INFO - Epoch(train) [7][1240/1879] lr: 7.0000e-03 eta: 2 days, 8:28:29 time: 0.4260 data_time: 0.0151 memory: 17087 grad_norm: 5.3208 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2784 loss: 2.2784 2022/08/03 10:39:46 - mmengine - INFO - Epoch(train) [7][1260/1879] lr: 7.0000e-03 eta: 2 days, 8:28:12 time: 0.4222 data_time: 0.0150 memory: 17087 grad_norm: 5.3153 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.6930 loss: 2.6930 2022/08/03 10:39:55 - mmengine - INFO - Epoch(train) [7][1280/1879] lr: 7.0000e-03 eta: 2 days, 8:28:03 time: 0.4341 data_time: 0.0154 memory: 17087 grad_norm: 5.5282 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.5312 loss: 2.5312 2022/08/03 10:40:03 - mmengine - INFO - Epoch(train) [7][1300/1879] lr: 7.0000e-03 eta: 2 days, 8:27:50 time: 0.4276 data_time: 0.0195 memory: 17087 grad_norm: 5.4520 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2343 loss: 2.2343 2022/08/03 10:40:12 - mmengine - INFO - Epoch(train) [7][1320/1879] lr: 7.0000e-03 eta: 2 days, 8:27:33 time: 0.4224 data_time: 0.0156 memory: 17087 grad_norm: 5.4606 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.4315 loss: 2.4315 2022/08/03 10:40:20 - mmengine - INFO - Epoch(train) [7][1340/1879] lr: 7.0000e-03 eta: 2 days, 8:27:22 time: 0.4314 data_time: 0.0143 memory: 17087 grad_norm: 5.4586 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3367 loss: 2.3367 2022/08/03 10:40:29 - mmengine - INFO - Epoch(train) [7][1360/1879] lr: 7.0000e-03 eta: 2 days, 8:27:06 time: 0.4233 data_time: 0.0150 memory: 17087 grad_norm: 5.3718 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3568 loss: 2.3568 2022/08/03 10:40:37 - mmengine - INFO - Epoch(train) [7][1380/1879] lr: 7.0000e-03 eta: 2 days, 8:27:00 time: 0.4377 data_time: 0.0145 memory: 17087 grad_norm: 5.3079 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2189 loss: 2.2189 2022/08/03 10:40:46 - mmengine - INFO - Epoch(train) [7][1400/1879] lr: 7.0000e-03 eta: 2 days, 8:26:47 time: 0.4280 data_time: 0.0199 memory: 17087 grad_norm: 5.3321 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2097 loss: 2.2097 2022/08/03 10:40:55 - mmengine - INFO - Epoch(train) [7][1420/1879] lr: 7.0000e-03 eta: 2 days, 8:26:40 time: 0.4364 data_time: 0.0141 memory: 17087 grad_norm: 5.4396 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.3463 loss: 2.3463 2022/08/03 10:41:03 - mmengine - INFO - Epoch(train) [7][1440/1879] lr: 7.0000e-03 eta: 2 days, 8:26:23 time: 0.4226 data_time: 0.0155 memory: 17087 grad_norm: 5.5028 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1590 loss: 2.1590 2022/08/03 10:41:12 - mmengine - INFO - Epoch(train) [7][1460/1879] lr: 7.0000e-03 eta: 2 days, 8:26:06 time: 0.4228 data_time: 0.0141 memory: 17087 grad_norm: 5.4184 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3265 loss: 2.3265 2022/08/03 10:41:20 - mmengine - INFO - Epoch(train) [7][1480/1879] lr: 7.0000e-03 eta: 2 days, 8:25:51 time: 0.4254 data_time: 0.0164 memory: 17087 grad_norm: 5.5396 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4818 loss: 2.4818 2022/08/03 10:41:29 - mmengine - INFO - Epoch(train) [7][1500/1879] lr: 7.0000e-03 eta: 2 days, 8:25:36 time: 0.4251 data_time: 0.0147 memory: 17087 grad_norm: 5.3591 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3823 loss: 2.3823 2022/08/03 10:41:37 - mmengine - INFO - Epoch(train) [7][1520/1879] lr: 7.0000e-03 eta: 2 days, 8:25:27 time: 0.4334 data_time: 0.0156 memory: 17087 grad_norm: 5.4531 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4534 loss: 2.4534 2022/08/03 10:41:46 - mmengine - INFO - Epoch(train) [7][1540/1879] lr: 7.0000e-03 eta: 2 days, 8:25:13 time: 0.4263 data_time: 0.0182 memory: 17087 grad_norm: 5.4424 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3767 loss: 2.3767 2022/08/03 10:41:55 - mmengine - INFO - Epoch(train) [7][1560/1879] lr: 7.0000e-03 eta: 2 days, 8:25:07 time: 0.4377 data_time: 0.0157 memory: 17087 grad_norm: 5.3514 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1821 loss: 2.1821 2022/08/03 10:42:03 - mmengine - INFO - Epoch(train) [7][1580/1879] lr: 7.0000e-03 eta: 2 days, 8:24:51 time: 0.4235 data_time: 0.0145 memory: 17087 grad_norm: 5.2877 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4713 loss: 2.4713 2022/08/03 10:42:12 - mmengine - INFO - Epoch(train) [7][1600/1879] lr: 7.0000e-03 eta: 2 days, 8:24:40 time: 0.4308 data_time: 0.0216 memory: 17087 grad_norm: 5.2811 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.2467 loss: 2.2467 2022/08/03 10:42:20 - mmengine - INFO - Epoch(train) [7][1620/1879] lr: 7.0000e-03 eta: 2 days, 8:24:30 time: 0.4323 data_time: 0.0137 memory: 17087 grad_norm: 5.3608 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4196 loss: 2.4196 2022/08/03 10:42:29 - mmengine - INFO - Epoch(train) [7][1640/1879] lr: 7.0000e-03 eta: 2 days, 8:24:17 time: 0.4276 data_time: 0.0203 memory: 17087 grad_norm: 5.4105 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4642 loss: 2.4642 2022/08/03 10:42:38 - mmengine - INFO - Epoch(train) [7][1660/1879] lr: 7.0000e-03 eta: 2 days, 8:24:14 time: 0.4415 data_time: 0.0167 memory: 17087 grad_norm: 5.4452 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3390 loss: 2.3390 2022/08/03 10:42:46 - mmengine - INFO - Epoch(train) [7][1680/1879] lr: 7.0000e-03 eta: 2 days, 8:24:01 time: 0.4273 data_time: 0.0198 memory: 17087 grad_norm: 5.4996 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.5540 loss: 2.5540 2022/08/03 10:42:55 - mmengine - INFO - Epoch(train) [7][1700/1879] lr: 7.0000e-03 eta: 2 days, 8:23:46 time: 0.4251 data_time: 0.0151 memory: 17087 grad_norm: 5.3047 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4463 loss: 2.4463 2022/08/03 10:43:03 - mmengine - INFO - Epoch(train) [7][1720/1879] lr: 7.0000e-03 eta: 2 days, 8:23:33 time: 0.4289 data_time: 0.0156 memory: 17087 grad_norm: 5.3335 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4184 loss: 2.4184 2022/08/03 10:43:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:43:12 - mmengine - INFO - Epoch(train) [7][1740/1879] lr: 7.0000e-03 eta: 2 days, 8:23:16 time: 0.4215 data_time: 0.0148 memory: 17087 grad_norm: 5.3119 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3746 loss: 2.3746 2022/08/03 10:43:20 - mmengine - INFO - Epoch(train) [7][1760/1879] lr: 7.0000e-03 eta: 2 days, 8:23:02 time: 0.4258 data_time: 0.0152 memory: 17087 grad_norm: 5.3736 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2858 loss: 2.2858 2022/08/03 10:43:29 - mmengine - INFO - Epoch(train) [7][1780/1879] lr: 7.0000e-03 eta: 2 days, 8:22:46 time: 0.4248 data_time: 0.0148 memory: 17087 grad_norm: 5.3615 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6513 loss: 2.6513 2022/08/03 10:43:38 - mmengine - INFO - Epoch(train) [7][1800/1879] lr: 7.0000e-03 eta: 2 days, 8:22:43 time: 0.4414 data_time: 0.0158 memory: 17087 grad_norm: 5.3577 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2928 loss: 2.2928 2022/08/03 10:43:46 - mmengine - INFO - Epoch(train) [7][1820/1879] lr: 7.0000e-03 eta: 2 days, 8:22:31 time: 0.4283 data_time: 0.0194 memory: 17087 grad_norm: 5.2555 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.3267 loss: 2.3267 2022/08/03 10:43:55 - mmengine - INFO - Epoch(train) [7][1840/1879] lr: 7.0000e-03 eta: 2 days, 8:22:15 time: 0.4240 data_time: 0.0154 memory: 17087 grad_norm: 5.4429 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5613 loss: 2.5613 2022/08/03 10:44:03 - mmengine - INFO - Epoch(train) [7][1860/1879] lr: 7.0000e-03 eta: 2 days, 8:21:59 time: 0.4234 data_time: 0.0144 memory: 17087 grad_norm: 5.2619 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3691 loss: 2.3691 2022/08/03 10:44:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:44:11 - mmengine - INFO - Epoch(train) [7][1879/1879] lr: 7.0000e-03 eta: 2 days, 8:21:59 time: 0.4033 data_time: 0.0130 memory: 17087 grad_norm: 5.2883 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 2.3467 loss: 2.3467 2022/08/03 10:44:22 - mmengine - INFO - Epoch(train) [8][20/1879] lr: 8.0000e-03 eta: 2 days, 8:18:13 time: 0.5509 data_time: 0.1226 memory: 17087 grad_norm: 5.3059 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0427 loss: 2.0427 2022/08/03 10:44:30 - mmengine - INFO - Epoch(train) [8][40/1879] lr: 8.0000e-03 eta: 2 days, 8:18:02 time: 0.4300 data_time: 0.0201 memory: 17087 grad_norm: 5.2640 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4323 loss: 2.4323 2022/08/03 10:44:39 - mmengine - INFO - Epoch(train) [8][60/1879] lr: 8.0000e-03 eta: 2 days, 8:17:45 time: 0.4213 data_time: 0.0137 memory: 17087 grad_norm: 5.3861 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3576 loss: 2.3576 2022/08/03 10:44:48 - mmengine - INFO - Epoch(train) [8][80/1879] lr: 8.0000e-03 eta: 2 days, 8:17:35 time: 0.4315 data_time: 0.0202 memory: 17087 grad_norm: 5.3558 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.5280 loss: 2.5280 2022/08/03 10:44:56 - mmengine - INFO - Epoch(train) [8][100/1879] lr: 8.0000e-03 eta: 2 days, 8:17:26 time: 0.4328 data_time: 0.0141 memory: 17087 grad_norm: 5.3201 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2210 loss: 2.2210 2022/08/03 10:45:05 - mmengine - INFO - Epoch(train) [8][120/1879] lr: 8.0000e-03 eta: 2 days, 8:17:17 time: 0.4332 data_time: 0.0205 memory: 17087 grad_norm: 5.4929 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.6561 loss: 2.6561 2022/08/03 10:45:13 - mmengine - INFO - Epoch(train) [8][140/1879] lr: 8.0000e-03 eta: 2 days, 8:17:08 time: 0.4327 data_time: 0.0161 memory: 17087 grad_norm: 5.3893 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1157 loss: 2.1157 2022/08/03 10:45:22 - mmengine - INFO - Epoch(train) [8][160/1879] lr: 8.0000e-03 eta: 2 days, 8:16:51 time: 0.4210 data_time: 0.0136 memory: 17087 grad_norm: 5.4603 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.4455 loss: 2.4455 2022/08/03 10:45:30 - mmengine - INFO - Epoch(train) [8][180/1879] lr: 8.0000e-03 eta: 2 days, 8:16:38 time: 0.4275 data_time: 0.0139 memory: 17087 grad_norm: 5.5557 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4329 loss: 2.4329 2022/08/03 10:45:39 - mmengine - INFO - Epoch(train) [8][200/1879] lr: 8.0000e-03 eta: 2 days, 8:16:32 time: 0.4367 data_time: 0.0137 memory: 17087 grad_norm: 5.4704 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0785 loss: 2.0785 2022/08/03 10:45:48 - mmengine - INFO - Epoch(train) [8][220/1879] lr: 8.0000e-03 eta: 2 days, 8:16:21 time: 0.4303 data_time: 0.0189 memory: 17087 grad_norm: 5.3492 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1666 loss: 2.1666 2022/08/03 10:45:56 - mmengine - INFO - Epoch(train) [8][240/1879] lr: 8.0000e-03 eta: 2 days, 8:16:06 time: 0.4239 data_time: 0.0148 memory: 17087 grad_norm: 5.3877 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6577 loss: 2.6577 2022/08/03 10:46:05 - mmengine - INFO - Epoch(train) [8][260/1879] lr: 8.0000e-03 eta: 2 days, 8:15:54 time: 0.4279 data_time: 0.0147 memory: 17087 grad_norm: 5.3193 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3098 loss: 2.3098 2022/08/03 10:46:14 - mmengine - INFO - Epoch(train) [8][280/1879] lr: 8.0000e-03 eta: 2 days, 8:15:46 time: 0.4349 data_time: 0.0239 memory: 17087 grad_norm: 5.2345 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2407 loss: 2.2407 2022/08/03 10:46:22 - mmengine - INFO - Epoch(train) [8][300/1879] lr: 8.0000e-03 eta: 2 days, 8:15:32 time: 0.4243 data_time: 0.0145 memory: 17087 grad_norm: 5.2004 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2474 loss: 2.2474 2022/08/03 10:46:31 - mmengine - INFO - Epoch(train) [8][320/1879] lr: 8.0000e-03 eta: 2 days, 8:15:16 time: 0.4238 data_time: 0.0160 memory: 17087 grad_norm: 5.3938 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4691 loss: 2.4691 2022/08/03 10:46:39 - mmengine - INFO - Epoch(train) [8][340/1879] lr: 8.0000e-03 eta: 2 days, 8:15:05 time: 0.4297 data_time: 0.0211 memory: 17087 grad_norm: 5.3559 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2935 loss: 2.2935 2022/08/03 10:46:48 - mmengine - INFO - Epoch(train) [8][360/1879] lr: 8.0000e-03 eta: 2 days, 8:14:53 time: 0.4282 data_time: 0.0164 memory: 17087 grad_norm: 5.1896 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.2593 loss: 2.2593 2022/08/03 10:46:56 - mmengine - INFO - Epoch(train) [8][380/1879] lr: 8.0000e-03 eta: 2 days, 8:14:48 time: 0.4372 data_time: 0.0139 memory: 17087 grad_norm: 5.1945 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6958 loss: 2.6958 2022/08/03 10:47:05 - mmengine - INFO - Epoch(train) [8][400/1879] lr: 8.0000e-03 eta: 2 days, 8:14:38 time: 0.4321 data_time: 0.0151 memory: 17087 grad_norm: 5.2490 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4077 loss: 2.4077 2022/08/03 10:47:14 - mmengine - INFO - Epoch(train) [8][420/1879] lr: 8.0000e-03 eta: 2 days, 8:14:24 time: 0.4253 data_time: 0.0152 memory: 17087 grad_norm: 5.3180 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3509 loss: 2.3509 2022/08/03 10:47:22 - mmengine - INFO - Epoch(train) [8][440/1879] lr: 8.0000e-03 eta: 2 days, 8:14:10 time: 0.4252 data_time: 0.0142 memory: 17087 grad_norm: 5.3804 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1436 loss: 2.1436 2022/08/03 10:47:31 - mmengine - INFO - Epoch(train) [8][460/1879] lr: 8.0000e-03 eta: 2 days, 8:13:58 time: 0.4287 data_time: 0.0195 memory: 17087 grad_norm: 5.3186 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4549 loss: 2.4549 2022/08/03 10:47:39 - mmengine - INFO - Epoch(train) [8][480/1879] lr: 8.0000e-03 eta: 2 days, 8:13:54 time: 0.4393 data_time: 0.0148 memory: 17087 grad_norm: 5.2061 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2803 loss: 2.2803 2022/08/03 10:47:48 - mmengine - INFO - Epoch(train) [8][500/1879] lr: 8.0000e-03 eta: 2 days, 8:13:42 time: 0.4289 data_time: 0.0193 memory: 17087 grad_norm: 5.3554 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.3088 loss: 2.3088 2022/08/03 10:47:57 - mmengine - INFO - Epoch(train) [8][520/1879] lr: 8.0000e-03 eta: 2 days, 8:13:38 time: 0.4396 data_time: 0.0171 memory: 17087 grad_norm: 5.3040 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1991 loss: 2.1991 2022/08/03 10:48:05 - mmengine - INFO - Epoch(train) [8][540/1879] lr: 8.0000e-03 eta: 2 days, 8:13:26 time: 0.4287 data_time: 0.0185 memory: 17087 grad_norm: 5.2951 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4709 loss: 2.4709 2022/08/03 10:48:14 - mmengine - INFO - Epoch(train) [8][560/1879] lr: 8.0000e-03 eta: 2 days, 8:13:16 time: 0.4309 data_time: 0.0171 memory: 17087 grad_norm: 5.3719 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2901 loss: 2.2901 2022/08/03 10:48:23 - mmengine - INFO - Epoch(train) [8][580/1879] lr: 8.0000e-03 eta: 2 days, 8:13:05 time: 0.4293 data_time: 0.0138 memory: 17087 grad_norm: 5.2949 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.3637 loss: 2.3637 2022/08/03 10:48:31 - mmengine - INFO - Epoch(train) [8][600/1879] lr: 8.0000e-03 eta: 2 days, 8:12:49 time: 0.4215 data_time: 0.0143 memory: 17087 grad_norm: 5.2447 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1893 loss: 2.1893 2022/08/03 10:48:40 - mmengine - INFO - Epoch(train) [8][620/1879] lr: 8.0000e-03 eta: 2 days, 8:12:36 time: 0.4279 data_time: 0.0149 memory: 17087 grad_norm: 5.3079 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4437 loss: 2.4437 2022/08/03 10:48:48 - mmengine - INFO - Epoch(train) [8][640/1879] lr: 8.0000e-03 eta: 2 days, 8:12:21 time: 0.4230 data_time: 0.0153 memory: 17087 grad_norm: 5.2512 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.3112 loss: 2.3112 2022/08/03 10:48:57 - mmengine - INFO - Epoch(train) [8][660/1879] lr: 8.0000e-03 eta: 2 days, 8:12:13 time: 0.4337 data_time: 0.0161 memory: 17087 grad_norm: 5.4207 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.5571 loss: 2.5571 2022/08/03 10:49:05 - mmengine - INFO - Epoch(train) [8][680/1879] lr: 8.0000e-03 eta: 2 days, 8:12:00 time: 0.4276 data_time: 0.0203 memory: 17087 grad_norm: 5.2968 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.3975 loss: 2.3975 2022/08/03 10:49:14 - mmengine - INFO - Epoch(train) [8][700/1879] lr: 8.0000e-03 eta: 2 days, 8:11:51 time: 0.4322 data_time: 0.0159 memory: 17087 grad_norm: 5.4673 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3588 loss: 2.3588 2022/08/03 10:49:22 - mmengine - INFO - Epoch(train) [8][720/1879] lr: 8.0000e-03 eta: 2 days, 8:11:36 time: 0.4234 data_time: 0.0159 memory: 17087 grad_norm: 5.3450 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4456 loss: 2.4456 2022/08/03 10:49:31 - mmengine - INFO - Epoch(train) [8][740/1879] lr: 8.0000e-03 eta: 2 days, 8:11:24 time: 0.4279 data_time: 0.0186 memory: 17087 grad_norm: 5.2384 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.2706 loss: 2.2706 2022/08/03 10:49:39 - mmengine - INFO - Epoch(train) [8][760/1879] lr: 8.0000e-03 eta: 2 days, 8:11:09 time: 0.4248 data_time: 0.0152 memory: 17087 grad_norm: 5.1885 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2838 loss: 2.2838 2022/08/03 10:49:48 - mmengine - INFO - Epoch(train) [8][780/1879] lr: 8.0000e-03 eta: 2 days, 8:10:56 time: 0.4258 data_time: 0.0146 memory: 17087 grad_norm: 5.2280 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3079 loss: 2.3079 2022/08/03 10:49:57 - mmengine - INFO - Epoch(train) [8][800/1879] lr: 8.0000e-03 eta: 2 days, 8:10:50 time: 0.4377 data_time: 0.0153 memory: 17087 grad_norm: 5.2802 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3861 loss: 2.3861 2022/08/03 10:50:05 - mmengine - INFO - Epoch(train) [8][820/1879] lr: 8.0000e-03 eta: 2 days, 8:10:41 time: 0.4322 data_time: 0.0266 memory: 17087 grad_norm: 5.3237 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5798 loss: 2.5798 2022/08/03 10:50:14 - mmengine - INFO - Epoch(train) [8][840/1879] lr: 8.0000e-03 eta: 2 days, 8:10:39 time: 0.4432 data_time: 0.0190 memory: 17087 grad_norm: 5.4113 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.3689 loss: 2.3689 2022/08/03 10:50:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:50:23 - mmengine - INFO - Epoch(train) [8][860/1879] lr: 8.0000e-03 eta: 2 days, 8:10:25 time: 0.4242 data_time: 0.0138 memory: 17087 grad_norm: 5.2870 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0171 loss: 2.0171 2022/08/03 10:50:31 - mmengine - INFO - Epoch(train) [8][880/1879] lr: 8.0000e-03 eta: 2 days, 8:10:11 time: 0.4259 data_time: 0.0156 memory: 17087 grad_norm: 5.4429 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2200 loss: 2.2200 2022/08/03 10:50:40 - mmengine - INFO - Epoch(train) [8][900/1879] lr: 8.0000e-03 eta: 2 days, 8:09:57 time: 0.4243 data_time: 0.0138 memory: 17087 grad_norm: 5.3281 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4098 loss: 2.4098 2022/08/03 10:50:48 - mmengine - INFO - Epoch(train) [8][920/1879] lr: 8.0000e-03 eta: 2 days, 8:09:45 time: 0.4279 data_time: 0.0159 memory: 17087 grad_norm: 5.1333 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2684 loss: 2.2684 2022/08/03 10:50:57 - mmengine - INFO - Epoch(train) [8][940/1879] lr: 8.0000e-03 eta: 2 days, 8:09:39 time: 0.4373 data_time: 0.0155 memory: 17087 grad_norm: 5.3365 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2785 loss: 2.2785 2022/08/03 10:51:06 - mmengine - INFO - Epoch(train) [8][960/1879] lr: 8.0000e-03 eta: 2 days, 8:09:25 time: 0.4247 data_time: 0.0154 memory: 17087 grad_norm: 5.5099 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5667 loss: 2.5667 2022/08/03 10:51:14 - mmengine - INFO - Epoch(train) [8][980/1879] lr: 8.0000e-03 eta: 2 days, 8:09:21 time: 0.4395 data_time: 0.0144 memory: 17087 grad_norm: 5.2259 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3511 loss: 2.3511 2022/08/03 10:51:23 - mmengine - INFO - Epoch(train) [8][1000/1879] lr: 8.0000e-03 eta: 2 days, 8:09:09 time: 0.4280 data_time: 0.0144 memory: 17087 grad_norm: 5.1487 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2542 loss: 2.2542 2022/08/03 10:51:31 - mmengine - INFO - Epoch(train) [8][1020/1879] lr: 8.0000e-03 eta: 2 days, 8:08:53 time: 0.4230 data_time: 0.0153 memory: 17087 grad_norm: 5.1455 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2454 loss: 2.2454 2022/08/03 10:51:40 - mmengine - INFO - Epoch(train) [8][1040/1879] lr: 8.0000e-03 eta: 2 days, 8:08:38 time: 0.4233 data_time: 0.0155 memory: 17087 grad_norm: 5.2488 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2752 loss: 2.2752 2022/08/03 10:51:48 - mmengine - INFO - Epoch(train) [8][1060/1879] lr: 8.0000e-03 eta: 2 days, 8:08:25 time: 0.4253 data_time: 0.0145 memory: 17087 grad_norm: 5.3718 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5279 loss: 2.5279 2022/08/03 10:51:57 - mmengine - INFO - Epoch(train) [8][1080/1879] lr: 8.0000e-03 eta: 2 days, 8:08:12 time: 0.4271 data_time: 0.0194 memory: 17087 grad_norm: 5.1889 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.2993 loss: 2.2993 2022/08/03 10:52:05 - mmengine - INFO - Epoch(train) [8][1100/1879] lr: 8.0000e-03 eta: 2 days, 8:07:59 time: 0.4262 data_time: 0.0143 memory: 17087 grad_norm: 5.2348 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2571 loss: 2.2571 2022/08/03 10:52:14 - mmengine - INFO - Epoch(train) [8][1120/1879] lr: 8.0000e-03 eta: 2 days, 8:07:46 time: 0.4264 data_time: 0.0165 memory: 17087 grad_norm: 5.1656 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.2377 loss: 2.2377 2022/08/03 10:52:22 - mmengine - INFO - Epoch(train) [8][1140/1879] lr: 8.0000e-03 eta: 2 days, 8:07:32 time: 0.4247 data_time: 0.0135 memory: 17087 grad_norm: 5.1901 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2278 loss: 2.2278 2022/08/03 10:52:31 - mmengine - INFO - Epoch(train) [8][1160/1879] lr: 8.0000e-03 eta: 2 days, 8:07:20 time: 0.4275 data_time: 0.0149 memory: 17087 grad_norm: 5.2868 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.3214 loss: 2.3214 2022/08/03 10:52:40 - mmengine - INFO - Epoch(train) [8][1180/1879] lr: 8.0000e-03 eta: 2 days, 8:07:15 time: 0.4384 data_time: 0.0161 memory: 17087 grad_norm: 5.2171 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3530 loss: 2.3530 2022/08/03 10:52:48 - mmengine - INFO - Epoch(train) [8][1200/1879] lr: 8.0000e-03 eta: 2 days, 8:07:05 time: 0.4305 data_time: 0.0144 memory: 17087 grad_norm: 5.2761 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3696 loss: 2.3696 2022/08/03 10:52:57 - mmengine - INFO - Epoch(train) [8][1220/1879] lr: 8.0000e-03 eta: 2 days, 8:06:49 time: 0.4224 data_time: 0.0141 memory: 17087 grad_norm: 5.1860 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3355 loss: 2.3355 2022/08/03 10:53:05 - mmengine - INFO - Epoch(train) [8][1240/1879] lr: 8.0000e-03 eta: 2 days, 8:06:37 time: 0.4280 data_time: 0.0159 memory: 17087 grad_norm: 5.2605 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1507 loss: 2.1507 2022/08/03 10:53:14 - mmengine - INFO - Epoch(train) [8][1260/1879] lr: 8.0000e-03 eta: 2 days, 8:06:24 time: 0.4253 data_time: 0.0162 memory: 17087 grad_norm: 5.2163 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2195 loss: 2.2195 2022/08/03 10:53:22 - mmengine - INFO - Epoch(train) [8][1280/1879] lr: 8.0000e-03 eta: 2 days, 8:06:10 time: 0.4244 data_time: 0.0159 memory: 17087 grad_norm: 5.1790 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1217 loss: 2.1217 2022/08/03 10:53:31 - mmengine - INFO - Epoch(train) [8][1300/1879] lr: 8.0000e-03 eta: 2 days, 8:05:54 time: 0.4226 data_time: 0.0143 memory: 17087 grad_norm: 5.2713 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.3376 loss: 2.3376 2022/08/03 10:53:40 - mmengine - INFO - Epoch(train) [8][1320/1879] lr: 8.0000e-03 eta: 2 days, 8:05:49 time: 0.4374 data_time: 0.0149 memory: 17087 grad_norm: 5.1505 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3512 loss: 2.3512 2022/08/03 10:53:48 - mmengine - INFO - Epoch(train) [8][1340/1879] lr: 8.0000e-03 eta: 2 days, 8:05:35 time: 0.4243 data_time: 0.0152 memory: 17087 grad_norm: 5.2338 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2236 loss: 2.2236 2022/08/03 10:53:57 - mmengine - INFO - Epoch(train) [8][1360/1879] lr: 8.0000e-03 eta: 2 days, 8:05:21 time: 0.4253 data_time: 0.0161 memory: 17087 grad_norm: 5.1386 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2720 loss: 2.2720 2022/08/03 10:54:05 - mmengine - INFO - Epoch(train) [8][1380/1879] lr: 8.0000e-03 eta: 2 days, 8:05:07 time: 0.4251 data_time: 0.0146 memory: 17087 grad_norm: 5.2658 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3173 loss: 2.3173 2022/08/03 10:54:14 - mmengine - INFO - Epoch(train) [8][1400/1879] lr: 8.0000e-03 eta: 2 days, 8:04:54 time: 0.4249 data_time: 0.0171 memory: 17087 grad_norm: 5.2885 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.2950 loss: 2.2950 2022/08/03 10:54:22 - mmengine - INFO - Epoch(train) [8][1420/1879] lr: 8.0000e-03 eta: 2 days, 8:04:39 time: 0.4236 data_time: 0.0136 memory: 17087 grad_norm: 5.1708 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1991 loss: 2.1991 2022/08/03 10:54:30 - mmengine - INFO - Epoch(train) [8][1440/1879] lr: 8.0000e-03 eta: 2 days, 8:04:25 time: 0.4244 data_time: 0.0171 memory: 17087 grad_norm: 5.2159 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2360 loss: 2.2360 2022/08/03 10:54:39 - mmengine - INFO - Epoch(train) [8][1460/1879] lr: 8.0000e-03 eta: 2 days, 8:04:19 time: 0.4363 data_time: 0.0146 memory: 17087 grad_norm: 5.2299 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1576 loss: 2.1576 2022/08/03 10:54:48 - mmengine - INFO - Epoch(train) [8][1480/1879] lr: 8.0000e-03 eta: 2 days, 8:04:10 time: 0.4320 data_time: 0.0205 memory: 17087 grad_norm: 5.1863 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1033 loss: 2.1033 2022/08/03 10:54:56 - mmengine - INFO - Epoch(train) [8][1500/1879] lr: 8.0000e-03 eta: 2 days, 8:03:54 time: 0.4224 data_time: 0.0172 memory: 17087 grad_norm: 5.2162 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.3156 loss: 2.3156 2022/08/03 10:55:05 - mmengine - INFO - Epoch(train) [8][1520/1879] lr: 8.0000e-03 eta: 2 days, 8:03:42 time: 0.4263 data_time: 0.0164 memory: 17087 grad_norm: 5.2319 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2753 loss: 2.2753 2022/08/03 10:55:13 - mmengine - INFO - Epoch(train) [8][1540/1879] lr: 8.0000e-03 eta: 2 days, 8:03:31 time: 0.4303 data_time: 0.0128 memory: 17087 grad_norm: 5.2598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3239 loss: 2.3239 2022/08/03 10:55:22 - mmengine - INFO - Epoch(train) [8][1560/1879] lr: 8.0000e-03 eta: 2 days, 8:03:18 time: 0.4251 data_time: 0.0169 memory: 17087 grad_norm: 5.1620 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4845 loss: 2.4845 2022/08/03 10:55:30 - mmengine - INFO - Epoch(train) [8][1580/1879] lr: 8.0000e-03 eta: 2 days, 8:03:05 time: 0.4261 data_time: 0.0179 memory: 17087 grad_norm: 5.2948 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1928 loss: 2.1928 2022/08/03 10:55:39 - mmengine - INFO - Epoch(train) [8][1600/1879] lr: 8.0000e-03 eta: 2 days, 8:02:50 time: 0.4236 data_time: 0.0160 memory: 17087 grad_norm: 5.1353 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3272 loss: 2.3272 2022/08/03 10:55:47 - mmengine - INFO - Epoch(train) [8][1620/1879] lr: 8.0000e-03 eta: 2 days, 8:02:38 time: 0.4270 data_time: 0.0138 memory: 17087 grad_norm: 5.1546 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1199 loss: 2.1199 2022/08/03 10:55:56 - mmengine - INFO - Epoch(train) [8][1640/1879] lr: 8.0000e-03 eta: 2 days, 8:02:29 time: 0.4313 data_time: 0.0178 memory: 17087 grad_norm: 5.1361 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3644 loss: 2.3644 2022/08/03 10:56:05 - mmengine - INFO - Epoch(train) [8][1660/1879] lr: 8.0000e-03 eta: 2 days, 8:02:15 time: 0.4245 data_time: 0.0134 memory: 17087 grad_norm: 5.2985 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3525 loss: 2.3525 2022/08/03 10:56:14 - mmengine - INFO - Epoch(train) [8][1680/1879] lr: 8.0000e-03 eta: 2 days, 8:02:14 time: 0.4458 data_time: 0.0375 memory: 17087 grad_norm: 5.2942 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4280 loss: 2.4280 2022/08/03 10:56:22 - mmengine - INFO - Epoch(train) [8][1700/1879] lr: 8.0000e-03 eta: 2 days, 8:01:59 time: 0.4216 data_time: 0.0132 memory: 17087 grad_norm: 5.2528 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4209 loss: 2.4209 2022/08/03 10:56:31 - mmengine - INFO - Epoch(train) [8][1720/1879] lr: 8.0000e-03 eta: 2 days, 8:01:50 time: 0.4329 data_time: 0.0159 memory: 17087 grad_norm: 5.3130 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3557 loss: 2.3557 2022/08/03 10:56:39 - mmengine - INFO - Epoch(train) [8][1740/1879] lr: 8.0000e-03 eta: 2 days, 8:01:38 time: 0.4277 data_time: 0.0148 memory: 17087 grad_norm: 5.1698 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1243 loss: 2.1243 2022/08/03 10:56:48 - mmengine - INFO - Epoch(train) [8][1760/1879] lr: 8.0000e-03 eta: 2 days, 8:01:31 time: 0.4344 data_time: 0.0178 memory: 17087 grad_norm: 5.2006 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.4029 loss: 2.4029 2022/08/03 10:56:56 - mmengine - INFO - Epoch(train) [8][1780/1879] lr: 8.0000e-03 eta: 2 days, 8:01:15 time: 0.4216 data_time: 0.0139 memory: 17087 grad_norm: 5.2341 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3066 loss: 2.3066 2022/08/03 10:57:05 - mmengine - INFO - Epoch(train) [8][1800/1879] lr: 8.0000e-03 eta: 2 days, 8:01:14 time: 0.4446 data_time: 0.0162 memory: 17087 grad_norm: 5.1300 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3177 loss: 2.3177 2022/08/03 10:57:14 - mmengine - INFO - Epoch(train) [8][1820/1879] lr: 8.0000e-03 eta: 2 days, 8:01:00 time: 0.4240 data_time: 0.0127 memory: 17087 grad_norm: 5.0937 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1410 loss: 2.1410 2022/08/03 10:57:22 - mmengine - INFO - Epoch(train) [8][1840/1879] lr: 8.0000e-03 eta: 2 days, 8:00:46 time: 0.4235 data_time: 0.0154 memory: 17087 grad_norm: 5.2368 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3003 loss: 2.3003 2022/08/03 10:57:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:57:31 - mmengine - INFO - Epoch(train) [8][1860/1879] lr: 8.0000e-03 eta: 2 days, 8:00:31 time: 0.4226 data_time: 0.0156 memory: 17087 grad_norm: 5.2241 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2035 loss: 2.2035 2022/08/03 10:57:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:57:38 - mmengine - INFO - Epoch(train) [8][1879/1879] lr: 8.0000e-03 eta: 2 days, 8:00:31 time: 0.4045 data_time: 0.0146 memory: 17087 grad_norm: 5.2997 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.1040 loss: 2.1040 2022/08/03 10:57:38 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/08/03 10:57:52 - mmengine - INFO - Epoch(train) [9][20/1879] lr: 9.0000e-03 eta: 2 days, 7:56:51 time: 0.5169 data_time: 0.1085 memory: 17087 grad_norm: 5.2546 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2072 loss: 2.2072 2022/08/03 10:58:01 - mmengine - INFO - Epoch(train) [9][40/1879] lr: 9.0000e-03 eta: 2 days, 7:56:49 time: 0.4426 data_time: 0.0139 memory: 17087 grad_norm: 5.2188 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1213 loss: 2.1213 2022/08/03 10:58:09 - mmengine - INFO - Epoch(train) [9][60/1879] lr: 9.0000e-03 eta: 2 days, 7:56:39 time: 0.4300 data_time: 0.0203 memory: 17087 grad_norm: 5.1404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2154 loss: 2.2154 2022/08/03 10:58:18 - mmengine - INFO - Epoch(train) [9][80/1879] lr: 9.0000e-03 eta: 2 days, 7:56:25 time: 0.4237 data_time: 0.0155 memory: 17087 grad_norm: 5.2771 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2051 loss: 2.2051 2022/08/03 10:58:26 - mmengine - INFO - Epoch(train) [9][100/1879] lr: 9.0000e-03 eta: 2 days, 7:56:11 time: 0.4238 data_time: 0.0162 memory: 17087 grad_norm: 5.2831 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1333 loss: 2.1333 2022/08/03 10:58:35 - mmengine - INFO - Epoch(train) [9][120/1879] lr: 9.0000e-03 eta: 2 days, 7:55:58 time: 0.4246 data_time: 0.0146 memory: 17087 grad_norm: 5.2388 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2167 loss: 2.2167 2022/08/03 10:58:43 - mmengine - INFO - Epoch(train) [9][140/1879] lr: 9.0000e-03 eta: 2 days, 7:55:44 time: 0.4226 data_time: 0.0152 memory: 17087 grad_norm: 5.1111 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2966 loss: 2.2966 2022/08/03 10:58:52 - mmengine - INFO - Epoch(train) [9][160/1879] lr: 9.0000e-03 eta: 2 days, 7:55:33 time: 0.4283 data_time: 0.0166 memory: 17087 grad_norm: 5.1947 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.3022 loss: 2.3022 2022/08/03 10:59:00 - mmengine - INFO - Epoch(train) [9][180/1879] lr: 9.0000e-03 eta: 2 days, 7:55:17 time: 0.4202 data_time: 0.0144 memory: 17087 grad_norm: 5.1660 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.4963 loss: 2.4963 2022/08/03 10:59:09 - mmengine - INFO - Epoch(train) [9][200/1879] lr: 9.0000e-03 eta: 2 days, 7:55:05 time: 0.4267 data_time: 0.0150 memory: 17087 grad_norm: 5.1053 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.2844 loss: 2.2844 2022/08/03 10:59:17 - mmengine - INFO - Epoch(train) [9][220/1879] lr: 9.0000e-03 eta: 2 days, 7:54:50 time: 0.4232 data_time: 0.0157 memory: 17087 grad_norm: 5.1864 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1626 loss: 2.1626 2022/08/03 10:59:26 - mmengine - INFO - Epoch(train) [9][240/1879] lr: 9.0000e-03 eta: 2 days, 7:54:38 time: 0.4260 data_time: 0.0157 memory: 17087 grad_norm: 5.2263 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2840 loss: 2.2840 2022/08/03 10:59:34 - mmengine - INFO - Epoch(train) [9][260/1879] lr: 9.0000e-03 eta: 2 days, 7:54:24 time: 0.4237 data_time: 0.0147 memory: 17087 grad_norm: 5.3915 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3004 loss: 2.3004 2022/08/03 10:59:42 - mmengine - INFO - Epoch(train) [9][280/1879] lr: 9.0000e-03 eta: 2 days, 7:54:11 time: 0.4244 data_time: 0.0159 memory: 17087 grad_norm: 5.2647 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2118 loss: 2.2118 2022/08/03 10:59:52 - mmengine - INFO - Epoch(train) [9][300/1879] lr: 9.0000e-03 eta: 2 days, 7:54:14 time: 0.4520 data_time: 0.0142 memory: 17087 grad_norm: 5.0865 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3294 loss: 2.3294 2022/08/03 11:00:00 - mmengine - INFO - Epoch(train) [9][320/1879] lr: 9.0000e-03 eta: 2 days, 7:54:04 time: 0.4289 data_time: 0.0221 memory: 17087 grad_norm: 5.0612 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2299 loss: 2.2299 2022/08/03 11:00:09 - mmengine - INFO - Epoch(train) [9][340/1879] lr: 9.0000e-03 eta: 2 days, 7:53:56 time: 0.4331 data_time: 0.0158 memory: 17087 grad_norm: 5.1505 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1053 loss: 2.1053 2022/08/03 11:00:17 - mmengine - INFO - Epoch(train) [9][360/1879] lr: 9.0000e-03 eta: 2 days, 7:53:45 time: 0.4286 data_time: 0.0210 memory: 17087 grad_norm: 5.2070 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3551 loss: 2.3551 2022/08/03 11:00:26 - mmengine - INFO - Epoch(train) [9][380/1879] lr: 9.0000e-03 eta: 2 days, 7:53:34 time: 0.4290 data_time: 0.0145 memory: 17087 grad_norm: 5.2557 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.1505 loss: 2.1505 2022/08/03 11:00:34 - mmengine - INFO - Epoch(train) [9][400/1879] lr: 9.0000e-03 eta: 2 days, 7:53:23 time: 0.4272 data_time: 0.0184 memory: 17087 grad_norm: 5.1408 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2425 loss: 2.2425 2022/08/03 11:00:43 - mmengine - INFO - Epoch(train) [9][420/1879] lr: 9.0000e-03 eta: 2 days, 7:53:15 time: 0.4331 data_time: 0.0268 memory: 17087 grad_norm: 5.1860 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3032 loss: 2.3032 2022/08/03 11:00:52 - mmengine - INFO - Epoch(train) [9][440/1879] lr: 9.0000e-03 eta: 2 days, 7:53:06 time: 0.4327 data_time: 0.0159 memory: 17087 grad_norm: 5.3043 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3131 loss: 2.3131 2022/08/03 11:01:00 - mmengine - INFO - Epoch(train) [9][460/1879] lr: 9.0000e-03 eta: 2 days, 7:52:59 time: 0.4348 data_time: 0.0144 memory: 17087 grad_norm: 5.1951 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5031 loss: 2.5031 2022/08/03 11:01:09 - mmengine - INFO - Epoch(train) [9][480/1879] lr: 9.0000e-03 eta: 2 days, 7:52:46 time: 0.4248 data_time: 0.0151 memory: 17087 grad_norm: 5.2144 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2863 loss: 2.2863 2022/08/03 11:01:18 - mmengine - INFO - Epoch(train) [9][500/1879] lr: 9.0000e-03 eta: 2 days, 7:52:36 time: 0.4294 data_time: 0.0150 memory: 17087 grad_norm: 5.0864 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1474 loss: 2.1474 2022/08/03 11:01:26 - mmengine - INFO - Epoch(train) [9][520/1879] lr: 9.0000e-03 eta: 2 days, 7:52:28 time: 0.4339 data_time: 0.0143 memory: 17087 grad_norm: 5.1768 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2369 loss: 2.2369 2022/08/03 11:01:35 - mmengine - INFO - Epoch(train) [9][540/1879] lr: 9.0000e-03 eta: 2 days, 7:52:16 time: 0.4264 data_time: 0.0153 memory: 17087 grad_norm: 5.1673 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2724 loss: 2.2724 2022/08/03 11:01:43 - mmengine - INFO - Epoch(train) [9][560/1879] lr: 9.0000e-03 eta: 2 days, 7:52:02 time: 0.4229 data_time: 0.0162 memory: 17087 grad_norm: 5.1990 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3856 loss: 2.3856 2022/08/03 11:01:52 - mmengine - INFO - Epoch(train) [9][580/1879] lr: 9.0000e-03 eta: 2 days, 7:51:51 time: 0.4283 data_time: 0.0131 memory: 17087 grad_norm: 5.1723 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2402 loss: 2.2402 2022/08/03 11:02:00 - mmengine - INFO - Epoch(train) [9][600/1879] lr: 9.0000e-03 eta: 2 days, 7:51:43 time: 0.4328 data_time: 0.0156 memory: 17087 grad_norm: 5.2299 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2388 loss: 2.2388 2022/08/03 11:02:09 - mmengine - INFO - Epoch(train) [9][620/1879] lr: 9.0000e-03 eta: 2 days, 7:51:31 time: 0.4264 data_time: 0.0181 memory: 17087 grad_norm: 5.1855 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4455 loss: 2.4455 2022/08/03 11:02:18 - mmengine - INFO - Epoch(train) [9][640/1879] lr: 9.0000e-03 eta: 2 days, 7:51:20 time: 0.4284 data_time: 0.0163 memory: 17087 grad_norm: 5.1747 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0884 loss: 2.0884 2022/08/03 11:02:26 - mmengine - INFO - Epoch(train) [9][660/1879] lr: 9.0000e-03 eta: 2 days, 7:51:08 time: 0.4267 data_time: 0.0176 memory: 17087 grad_norm: 5.1402 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3063 loss: 2.3063 2022/08/03 11:02:35 - mmengine - INFO - Epoch(train) [9][680/1879] lr: 9.0000e-03 eta: 2 days, 7:50:56 time: 0.4253 data_time: 0.0154 memory: 17087 grad_norm: 5.0915 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2754 loss: 2.2754 2022/08/03 11:02:43 - mmengine - INFO - Epoch(train) [9][700/1879] lr: 9.0000e-03 eta: 2 days, 7:50:42 time: 0.4231 data_time: 0.0143 memory: 17087 grad_norm: 5.2258 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1036 loss: 2.1036 2022/08/03 11:02:52 - mmengine - INFO - Epoch(train) [9][720/1879] lr: 9.0000e-03 eta: 2 days, 7:50:29 time: 0.4252 data_time: 0.0146 memory: 17087 grad_norm: 5.0604 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.2394 loss: 2.2394 2022/08/03 11:03:00 - mmengine - INFO - Epoch(train) [9][740/1879] lr: 9.0000e-03 eta: 2 days, 7:50:28 time: 0.4447 data_time: 0.0146 memory: 17087 grad_norm: 5.2309 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4290 loss: 2.4290 2022/08/03 11:03:09 - mmengine - INFO - Epoch(train) [9][760/1879] lr: 9.0000e-03 eta: 2 days, 7:50:16 time: 0.4269 data_time: 0.0155 memory: 17087 grad_norm: 5.0704 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1873 loss: 2.1873 2022/08/03 11:03:18 - mmengine - INFO - Epoch(train) [9][780/1879] lr: 9.0000e-03 eta: 2 days, 7:50:12 time: 0.4398 data_time: 0.0137 memory: 17087 grad_norm: 5.0513 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0863 loss: 2.0863 2022/08/03 11:03:26 - mmengine - INFO - Epoch(train) [9][800/1879] lr: 9.0000e-03 eta: 2 days, 7:50:00 time: 0.4262 data_time: 0.0154 memory: 17087 grad_norm: 5.1737 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4844 loss: 2.4844 2022/08/03 11:03:35 - mmengine - INFO - Epoch(train) [9][820/1879] lr: 9.0000e-03 eta: 2 days, 7:49:47 time: 0.4253 data_time: 0.0148 memory: 17087 grad_norm: 5.1158 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2877 loss: 2.2877 2022/08/03 11:03:43 - mmengine - INFO - Epoch(train) [9][840/1879] lr: 9.0000e-03 eta: 2 days, 7:49:34 time: 0.4241 data_time: 0.0153 memory: 17087 grad_norm: 5.1734 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1390 loss: 2.1390 2022/08/03 11:03:52 - mmengine - INFO - Epoch(train) [9][860/1879] lr: 9.0000e-03 eta: 2 days, 7:49:21 time: 0.4244 data_time: 0.0146 memory: 17087 grad_norm: 5.1708 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2138 loss: 2.2138 2022/08/03 11:04:01 - mmengine - INFO - Epoch(train) [9][880/1879] lr: 9.0000e-03 eta: 2 days, 7:49:16 time: 0.4381 data_time: 0.0158 memory: 17087 grad_norm: 5.1493 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1810 loss: 2.1810 2022/08/03 11:04:09 - mmengine - INFO - Epoch(train) [9][900/1879] lr: 9.0000e-03 eta: 2 days, 7:49:06 time: 0.4303 data_time: 0.0140 memory: 17087 grad_norm: 5.1898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2778 loss: 2.2778 2022/08/03 11:04:18 - mmengine - INFO - Epoch(train) [9][920/1879] lr: 9.0000e-03 eta: 2 days, 7:48:55 time: 0.4278 data_time: 0.0173 memory: 17087 grad_norm: 5.2803 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3855 loss: 2.3855 2022/08/03 11:04:26 - mmengine - INFO - Epoch(train) [9][940/1879] lr: 9.0000e-03 eta: 2 days, 7:48:41 time: 0.4235 data_time: 0.0154 memory: 17087 grad_norm: 5.1422 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2667 loss: 2.2667 2022/08/03 11:04:35 - mmengine - INFO - Epoch(train) [9][960/1879] lr: 9.0000e-03 eta: 2 days, 7:48:36 time: 0.4373 data_time: 0.0144 memory: 17087 grad_norm: 5.1163 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5081 loss: 2.5081 2022/08/03 11:04:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:04:43 - mmengine - INFO - Epoch(train) [9][980/1879] lr: 9.0000e-03 eta: 2 days, 7:48:21 time: 0.4215 data_time: 0.0138 memory: 17087 grad_norm: 5.1079 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2669 loss: 2.2669 2022/08/03 11:04:52 - mmengine - INFO - Epoch(train) [9][1000/1879] lr: 9.0000e-03 eta: 2 days, 7:48:12 time: 0.4323 data_time: 0.0192 memory: 17087 grad_norm: 5.0420 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4610 loss: 2.4610 2022/08/03 11:05:01 - mmengine - INFO - Epoch(train) [9][1020/1879] lr: 9.0000e-03 eta: 2 days, 7:47:59 time: 0.4245 data_time: 0.0158 memory: 17087 grad_norm: 5.1539 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2014 loss: 2.2014 2022/08/03 11:05:09 - mmengine - INFO - Epoch(train) [9][1040/1879] lr: 9.0000e-03 eta: 2 days, 7:47:47 time: 0.4250 data_time: 0.0165 memory: 17087 grad_norm: 5.0929 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2198 loss: 2.2198 2022/08/03 11:05:18 - mmengine - INFO - Epoch(train) [9][1060/1879] lr: 9.0000e-03 eta: 2 days, 7:47:39 time: 0.4337 data_time: 0.0144 memory: 17087 grad_norm: 5.0980 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1447 loss: 2.1447 2022/08/03 11:05:26 - mmengine - INFO - Epoch(train) [9][1080/1879] lr: 9.0000e-03 eta: 2 days, 7:47:29 time: 0.4297 data_time: 0.0148 memory: 17087 grad_norm: 5.0758 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.2132 loss: 2.2132 2022/08/03 11:05:35 - mmengine - INFO - Epoch(train) [9][1100/1879] lr: 9.0000e-03 eta: 2 days, 7:47:22 time: 0.4344 data_time: 0.0148 memory: 17087 grad_norm: 5.1816 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2458 loss: 2.2458 2022/08/03 11:05:43 - mmengine - INFO - Epoch(train) [9][1120/1879] lr: 9.0000e-03 eta: 2 days, 7:47:08 time: 0.4233 data_time: 0.0154 memory: 17087 grad_norm: 5.1310 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2803 loss: 2.2803 2022/08/03 11:05:52 - mmengine - INFO - Epoch(train) [9][1140/1879] lr: 9.0000e-03 eta: 2 days, 7:46:53 time: 0.4203 data_time: 0.0132 memory: 17087 grad_norm: 5.1349 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3327 loss: 2.3327 2022/08/03 11:06:00 - mmengine - INFO - Epoch(train) [9][1160/1879] lr: 9.0000e-03 eta: 2 days, 7:46:40 time: 0.4248 data_time: 0.0158 memory: 17087 grad_norm: 5.1822 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3571 loss: 2.3571 2022/08/03 11:06:09 - mmengine - INFO - Epoch(train) [9][1180/1879] lr: 9.0000e-03 eta: 2 days, 7:46:26 time: 0.4227 data_time: 0.0153 memory: 17087 grad_norm: 5.0154 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2741 loss: 2.2741 2022/08/03 11:06:18 - mmengine - INFO - Epoch(train) [9][1200/1879] lr: 9.0000e-03 eta: 2 days, 7:46:19 time: 0.4343 data_time: 0.0180 memory: 17087 grad_norm: 4.9909 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.2236 loss: 2.2236 2022/08/03 11:06:26 - mmengine - INFO - Epoch(train) [9][1220/1879] lr: 9.0000e-03 eta: 2 days, 7:46:07 time: 0.4275 data_time: 0.0157 memory: 17087 grad_norm: 5.1837 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.2769 loss: 2.2769 2022/08/03 11:06:35 - mmengine - INFO - Epoch(train) [9][1240/1879] lr: 9.0000e-03 eta: 2 days, 7:46:01 time: 0.4362 data_time: 0.0162 memory: 17087 grad_norm: 5.1885 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3032 loss: 2.3032 2022/08/03 11:06:43 - mmengine - INFO - Epoch(train) [9][1260/1879] lr: 9.0000e-03 eta: 2 days, 7:45:47 time: 0.4216 data_time: 0.0139 memory: 17087 grad_norm: 5.2464 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1783 loss: 2.1783 2022/08/03 11:06:52 - mmengine - INFO - Epoch(train) [9][1280/1879] lr: 9.0000e-03 eta: 2 days, 7:45:34 time: 0.4254 data_time: 0.0148 memory: 17087 grad_norm: 5.2184 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0790 loss: 2.0790 2022/08/03 11:07:01 - mmengine - INFO - Epoch(train) [9][1300/1879] lr: 9.0000e-03 eta: 2 days, 7:45:31 time: 0.4417 data_time: 0.0142 memory: 17087 grad_norm: 5.0955 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2241 loss: 2.2241 2022/08/03 11:07:09 - mmengine - INFO - Epoch(train) [9][1320/1879] lr: 9.0000e-03 eta: 2 days, 7:45:21 time: 0.4292 data_time: 0.0166 memory: 17087 grad_norm: 5.1492 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4532 loss: 2.4532 2022/08/03 11:07:18 - mmengine - INFO - Epoch(train) [9][1340/1879] lr: 9.0000e-03 eta: 2 days, 7:45:12 time: 0.4309 data_time: 0.0142 memory: 17087 grad_norm: 5.1485 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2119 loss: 2.2119 2022/08/03 11:07:26 - mmengine - INFO - Epoch(train) [9][1360/1879] lr: 9.0000e-03 eta: 2 days, 7:45:00 time: 0.4259 data_time: 0.0158 memory: 17087 grad_norm: 5.1061 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2006 loss: 2.2006 2022/08/03 11:07:35 - mmengine - INFO - Epoch(train) [9][1380/1879] lr: 9.0000e-03 eta: 2 days, 7:44:49 time: 0.4282 data_time: 0.0139 memory: 17087 grad_norm: 5.1977 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2922 loss: 2.2922 2022/08/03 11:07:43 - mmengine - INFO - Epoch(train) [9][1400/1879] lr: 9.0000e-03 eta: 2 days, 7:44:35 time: 0.4237 data_time: 0.0152 memory: 17087 grad_norm: 5.1385 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1712 loss: 2.1712 2022/08/03 11:07:52 - mmengine - INFO - Epoch(train) [9][1420/1879] lr: 9.0000e-03 eta: 2 days, 7:44:24 time: 0.4269 data_time: 0.0143 memory: 17087 grad_norm: 5.0764 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2971 loss: 2.2971 2022/08/03 11:08:00 - mmengine - INFO - Epoch(train) [9][1440/1879] lr: 9.0000e-03 eta: 2 days, 7:44:12 time: 0.4256 data_time: 0.0157 memory: 17087 grad_norm: 5.0941 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2685 loss: 2.2685 2022/08/03 11:08:09 - mmengine - INFO - Epoch(train) [9][1460/1879] lr: 9.0000e-03 eta: 2 days, 7:43:58 time: 0.4232 data_time: 0.0151 memory: 17087 grad_norm: 5.1907 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4359 loss: 2.4359 2022/08/03 11:08:17 - mmengine - INFO - Epoch(train) [9][1480/1879] lr: 9.0000e-03 eta: 2 days, 7:43:46 time: 0.4261 data_time: 0.0160 memory: 17087 grad_norm: 5.0897 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3175 loss: 2.3175 2022/08/03 11:08:26 - mmengine - INFO - Epoch(train) [9][1500/1879] lr: 9.0000e-03 eta: 2 days, 7:43:36 time: 0.4286 data_time: 0.0162 memory: 17087 grad_norm: 5.1253 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.3465 loss: 2.3465 2022/08/03 11:08:34 - mmengine - INFO - Epoch(train) [9][1520/1879] lr: 9.0000e-03 eta: 2 days, 7:43:24 time: 0.4255 data_time: 0.0140 memory: 17087 grad_norm: 5.0690 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1381 loss: 2.1381 2022/08/03 11:08:43 - mmengine - INFO - Epoch(train) [9][1540/1879] lr: 9.0000e-03 eta: 2 days, 7:43:10 time: 0.4232 data_time: 0.0134 memory: 17087 grad_norm: 5.0141 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.4005 loss: 2.4005 2022/08/03 11:08:52 - mmengine - INFO - Epoch(train) [9][1560/1879] lr: 9.0000e-03 eta: 2 days, 7:43:04 time: 0.4365 data_time: 0.0142 memory: 17087 grad_norm: 5.1595 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1465 loss: 2.1465 2022/08/03 11:09:00 - mmengine - INFO - Epoch(train) [9][1580/1879] lr: 9.0000e-03 eta: 2 days, 7:42:56 time: 0.4338 data_time: 0.0186 memory: 17087 grad_norm: 5.0524 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.2313 loss: 2.2313 2022/08/03 11:09:09 - mmengine - INFO - Epoch(train) [9][1600/1879] lr: 9.0000e-03 eta: 2 days, 7:42:43 time: 0.4239 data_time: 0.0159 memory: 17087 grad_norm: 5.2746 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2306 loss: 2.2306 2022/08/03 11:09:17 - mmengine - INFO - Epoch(train) [9][1620/1879] lr: 9.0000e-03 eta: 2 days, 7:42:35 time: 0.4321 data_time: 0.0147 memory: 17087 grad_norm: 5.0601 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1868 loss: 2.1868 2022/08/03 11:09:26 - mmengine - INFO - Epoch(train) [9][1640/1879] lr: 9.0000e-03 eta: 2 days, 7:42:25 time: 0.4291 data_time: 0.0192 memory: 17087 grad_norm: 4.9977 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3214 loss: 2.3214 2022/08/03 11:09:35 - mmengine - INFO - Epoch(train) [9][1660/1879] lr: 9.0000e-03 eta: 2 days, 7:42:14 time: 0.4277 data_time: 0.0150 memory: 17087 grad_norm: 5.0207 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1452 loss: 2.1452 2022/08/03 11:09:43 - mmengine - INFO - Epoch(train) [9][1680/1879] lr: 9.0000e-03 eta: 2 days, 7:42:10 time: 0.4409 data_time: 0.0152 memory: 17087 grad_norm: 5.0608 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2551 loss: 2.2551 2022/08/03 11:09:52 - mmengine - INFO - Epoch(train) [9][1700/1879] lr: 9.0000e-03 eta: 2 days, 7:41:57 time: 0.4247 data_time: 0.0169 memory: 17087 grad_norm: 5.0407 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.3702 loss: 2.3702 2022/08/03 11:10:00 - mmengine - INFO - Epoch(train) [9][1720/1879] lr: 9.0000e-03 eta: 2 days, 7:41:45 time: 0.4245 data_time: 0.0149 memory: 17087 grad_norm: 4.9610 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3839 loss: 2.3839 2022/08/03 11:10:09 - mmengine - INFO - Epoch(train) [9][1740/1879] lr: 9.0000e-03 eta: 2 days, 7:41:33 time: 0.4267 data_time: 0.0170 memory: 17087 grad_norm: 5.0253 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2242 loss: 2.2242 2022/08/03 11:10:17 - mmengine - INFO - Epoch(train) [9][1760/1879] lr: 9.0000e-03 eta: 2 days, 7:41:22 time: 0.4277 data_time: 0.0157 memory: 17087 grad_norm: 5.0828 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2087 loss: 2.2087 2022/08/03 11:10:26 - mmengine - INFO - Epoch(train) [9][1780/1879] lr: 9.0000e-03 eta: 2 days, 7:41:18 time: 0.4390 data_time: 0.0218 memory: 17087 grad_norm: 5.0353 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2943 loss: 2.2943 2022/08/03 11:10:35 - mmengine - INFO - Epoch(train) [9][1800/1879] lr: 9.0000e-03 eta: 2 days, 7:41:04 time: 0.4227 data_time: 0.0150 memory: 17087 grad_norm: 4.9789 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3745 loss: 2.3745 2022/08/03 11:10:43 - mmengine - INFO - Epoch(train) [9][1820/1879] lr: 9.0000e-03 eta: 2 days, 7:40:53 time: 0.4287 data_time: 0.0150 memory: 17087 grad_norm: 5.0234 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.2983 loss: 2.2983 2022/08/03 11:10:52 - mmengine - INFO - Epoch(train) [9][1840/1879] lr: 9.0000e-03 eta: 2 days, 7:40:48 time: 0.4377 data_time: 0.0164 memory: 17087 grad_norm: 5.0762 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3508 loss: 2.3508 2022/08/03 11:11:01 - mmengine - INFO - Epoch(train) [9][1860/1879] lr: 9.0000e-03 eta: 2 days, 7:40:40 time: 0.4322 data_time: 0.0148 memory: 17087 grad_norm: 5.0200 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4468 loss: 2.4468 2022/08/03 11:11:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:11:08 - mmengine - INFO - Epoch(train) [9][1879/1879] lr: 9.0000e-03 eta: 2 days, 7:40:40 time: 0.4086 data_time: 0.0169 memory: 17087 grad_norm: 5.0895 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.2973 loss: 2.2973 2022/08/03 11:11:19 - mmengine - INFO - Epoch(train) [10][20/1879] lr: 1.0000e-02 eta: 2 days, 7:37:42 time: 0.5491 data_time: 0.1258 memory: 17087 grad_norm: 5.0883 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1285 loss: 2.1285 2022/08/03 11:11:28 - mmengine - INFO - Epoch(train) [10][40/1879] lr: 1.0000e-02 eta: 2 days, 7:37:38 time: 0.4389 data_time: 0.0179 memory: 17087 grad_norm: 4.9188 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2031 loss: 2.2031 2022/08/03 11:11:37 - mmengine - INFO - Epoch(train) [10][60/1879] lr: 1.0000e-02 eta: 2 days, 7:37:27 time: 0.4288 data_time: 0.0152 memory: 17087 grad_norm: 5.1092 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1000 loss: 2.1000 2022/08/03 11:11:46 - mmengine - INFO - Epoch(train) [10][80/1879] lr: 1.0000e-02 eta: 2 days, 7:37:27 time: 0.4471 data_time: 0.0163 memory: 17087 grad_norm: 5.1827 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2578 loss: 2.2578 2022/08/03 11:11:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:11:54 - mmengine - INFO - Epoch(train) [10][100/1879] lr: 1.0000e-02 eta: 2 days, 7:37:13 time: 0.4217 data_time: 0.0140 memory: 17087 grad_norm: 5.2333 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.4183 loss: 2.4183 2022/08/03 11:12:03 - mmengine - INFO - Epoch(train) [10][120/1879] lr: 1.0000e-02 eta: 2 days, 7:37:00 time: 0.4235 data_time: 0.0150 memory: 17087 grad_norm: 5.0404 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1684 loss: 2.1684 2022/08/03 11:12:11 - mmengine - INFO - Epoch(train) [10][140/1879] lr: 1.0000e-02 eta: 2 days, 7:36:49 time: 0.4259 data_time: 0.0147 memory: 17087 grad_norm: 5.1485 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1549 loss: 2.1549 2022/08/03 11:12:20 - mmengine - INFO - Epoch(train) [10][160/1879] lr: 1.0000e-02 eta: 2 days, 7:36:45 time: 0.4404 data_time: 0.0169 memory: 17087 grad_norm: 5.2309 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2191 loss: 2.2191 2022/08/03 11:12:28 - mmengine - INFO - Epoch(train) [10][180/1879] lr: 1.0000e-02 eta: 2 days, 7:36:31 time: 0.4213 data_time: 0.0122 memory: 17087 grad_norm: 5.0435 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4714 loss: 2.4714 2022/08/03 11:12:37 - mmengine - INFO - Epoch(train) [10][200/1879] lr: 1.0000e-02 eta: 2 days, 7:36:25 time: 0.4364 data_time: 0.0176 memory: 17087 grad_norm: 5.0826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3748 loss: 2.3748 2022/08/03 11:12:46 - mmengine - INFO - Epoch(train) [10][220/1879] lr: 1.0000e-02 eta: 2 days, 7:36:15 time: 0.4292 data_time: 0.0181 memory: 17087 grad_norm: 5.0808 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1614 loss: 2.1614 2022/08/03 11:12:54 - mmengine - INFO - Epoch(train) [10][240/1879] lr: 1.0000e-02 eta: 2 days, 7:36:02 time: 0.4237 data_time: 0.0150 memory: 17087 grad_norm: 5.2887 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1786 loss: 2.1786 2022/08/03 11:13:03 - mmengine - INFO - Epoch(train) [10][260/1879] lr: 1.0000e-02 eta: 2 days, 7:35:51 time: 0.4266 data_time: 0.0149 memory: 17087 grad_norm: 5.1049 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.2909 loss: 2.2909 2022/08/03 11:13:11 - mmengine - INFO - Epoch(train) [10][280/1879] lr: 1.0000e-02 eta: 2 days, 7:35:40 time: 0.4276 data_time: 0.0183 memory: 17087 grad_norm: 5.1504 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.1626 loss: 2.1626 2022/08/03 11:13:20 - mmengine - INFO - Epoch(train) [10][300/1879] lr: 1.0000e-02 eta: 2 days, 7:35:26 time: 0.4210 data_time: 0.0129 memory: 17087 grad_norm: 5.0181 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2596 loss: 2.2596 2022/08/03 11:13:29 - mmengine - INFO - Epoch(train) [10][320/1879] lr: 1.0000e-02 eta: 2 days, 7:35:21 time: 0.4384 data_time: 0.0173 memory: 17087 grad_norm: 5.1645 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0984 loss: 2.0984 2022/08/03 11:13:37 - mmengine - INFO - Epoch(train) [10][340/1879] lr: 1.0000e-02 eta: 2 days, 7:35:06 time: 0.4208 data_time: 0.0137 memory: 17087 grad_norm: 5.1400 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3560 loss: 2.3560 2022/08/03 11:13:45 - mmengine - INFO - Epoch(train) [10][360/1879] lr: 1.0000e-02 eta: 2 days, 7:34:54 time: 0.4244 data_time: 0.0167 memory: 17087 grad_norm: 5.1028 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4282 loss: 2.4282 2022/08/03 11:13:54 - mmengine - INFO - Epoch(train) [10][380/1879] lr: 1.0000e-02 eta: 2 days, 7:34:40 time: 0.4221 data_time: 0.0138 memory: 17087 grad_norm: 4.9224 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2875 loss: 2.2875 2022/08/03 11:14:02 - mmengine - INFO - Epoch(train) [10][400/1879] lr: 1.0000e-02 eta: 2 days, 7:34:27 time: 0.4236 data_time: 0.0157 memory: 17087 grad_norm: 5.1743 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3292 loss: 2.3292 2022/08/03 11:14:11 - mmengine - INFO - Epoch(train) [10][420/1879] lr: 1.0000e-02 eta: 2 days, 7:34:22 time: 0.4382 data_time: 0.0143 memory: 17087 grad_norm: 5.0436 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.3130 loss: 2.3130 2022/08/03 11:14:20 - mmengine - INFO - Epoch(train) [10][440/1879] lr: 1.0000e-02 eta: 2 days, 7:34:12 time: 0.4289 data_time: 0.0151 memory: 17087 grad_norm: 4.9135 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1755 loss: 2.1755 2022/08/03 11:14:28 - mmengine - INFO - Epoch(train) [10][460/1879] lr: 1.0000e-02 eta: 2 days, 7:34:04 time: 0.4316 data_time: 0.0160 memory: 17087 grad_norm: 5.0426 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3179 loss: 2.3179 2022/08/03 11:14:37 - mmengine - INFO - Epoch(train) [10][480/1879] lr: 1.0000e-02 eta: 2 days, 7:33:51 time: 0.4236 data_time: 0.0155 memory: 17087 grad_norm: 4.9695 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.0701 loss: 2.0701 2022/08/03 11:14:46 - mmengine - INFO - Epoch(train) [10][500/1879] lr: 1.0000e-02 eta: 2 days, 7:33:47 time: 0.4402 data_time: 0.0167 memory: 17087 grad_norm: 4.9784 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2464 loss: 2.2464 2022/08/03 11:14:54 - mmengine - INFO - Epoch(train) [10][520/1879] lr: 1.0000e-02 eta: 2 days, 7:33:34 time: 0.4237 data_time: 0.0145 memory: 17087 grad_norm: 5.0029 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1447 loss: 2.1447 2022/08/03 11:15:03 - mmengine - INFO - Epoch(train) [10][540/1879] lr: 1.0000e-02 eta: 2 days, 7:33:23 time: 0.4261 data_time: 0.0153 memory: 17087 grad_norm: 5.1250 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.2543 loss: 2.2543 2022/08/03 11:15:11 - mmengine - INFO - Epoch(train) [10][560/1879] lr: 1.0000e-02 eta: 2 days, 7:33:11 time: 0.4250 data_time: 0.0153 memory: 17087 grad_norm: 5.0206 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2896 loss: 2.2896 2022/08/03 11:15:20 - mmengine - INFO - Epoch(train) [10][580/1879] lr: 1.0000e-02 eta: 2 days, 7:33:00 time: 0.4274 data_time: 0.0159 memory: 17087 grad_norm: 4.9066 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3605 loss: 2.3605 2022/08/03 11:15:28 - mmengine - INFO - Epoch(train) [10][600/1879] lr: 1.0000e-02 eta: 2 days, 7:32:48 time: 0.4259 data_time: 0.0156 memory: 17087 grad_norm: 5.0886 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2349 loss: 2.2349 2022/08/03 11:15:37 - mmengine - INFO - Epoch(train) [10][620/1879] lr: 1.0000e-02 eta: 2 days, 7:32:40 time: 0.4314 data_time: 0.0146 memory: 17087 grad_norm: 5.0111 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3555 loss: 2.3555 2022/08/03 11:15:45 - mmengine - INFO - Epoch(train) [10][640/1879] lr: 1.0000e-02 eta: 2 days, 7:32:26 time: 0.4218 data_time: 0.0148 memory: 17087 grad_norm: 5.0221 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3419 loss: 2.3419 2022/08/03 11:15:54 - mmengine - INFO - Epoch(train) [10][660/1879] lr: 1.0000e-02 eta: 2 days, 7:32:13 time: 0.4231 data_time: 0.0143 memory: 17087 grad_norm: 4.9533 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0863 loss: 2.0863 2022/08/03 11:16:02 - mmengine - INFO - Epoch(train) [10][680/1879] lr: 1.0000e-02 eta: 2 days, 7:32:04 time: 0.4311 data_time: 0.0203 memory: 17087 grad_norm: 5.1729 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.3298 loss: 2.3298 2022/08/03 11:16:11 - mmengine - INFO - Epoch(train) [10][700/1879] lr: 1.0000e-02 eta: 2 days, 7:31:52 time: 0.4238 data_time: 0.0143 memory: 17087 grad_norm: 5.0364 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3397 loss: 2.3397 2022/08/03 11:16:19 - mmengine - INFO - Epoch(train) [10][720/1879] lr: 1.0000e-02 eta: 2 days, 7:31:40 time: 0.4257 data_time: 0.0160 memory: 17087 grad_norm: 4.9481 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2597 loss: 2.2597 2022/08/03 11:16:28 - mmengine - INFO - Epoch(train) [10][740/1879] lr: 1.0000e-02 eta: 2 days, 7:31:27 time: 0.4228 data_time: 0.0129 memory: 17087 grad_norm: 4.8461 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1536 loss: 2.1536 2022/08/03 11:16:37 - mmengine - INFO - Epoch(train) [10][760/1879] lr: 1.0000e-02 eta: 2 days, 7:31:24 time: 0.4425 data_time: 0.0160 memory: 17087 grad_norm: 5.0481 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.3120 loss: 2.3120 2022/08/03 11:16:45 - mmengine - INFO - Epoch(train) [10][780/1879] lr: 1.0000e-02 eta: 2 days, 7:31:11 time: 0.4221 data_time: 0.0143 memory: 17087 grad_norm: 4.9361 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2455 loss: 2.2455 2022/08/03 11:16:54 - mmengine - INFO - Epoch(train) [10][800/1879] lr: 1.0000e-02 eta: 2 days, 7:31:03 time: 0.4325 data_time: 0.0147 memory: 17087 grad_norm: 5.0013 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1580 loss: 2.1580 2022/08/03 11:17:03 - mmengine - INFO - Epoch(train) [10][820/1879] lr: 1.0000e-02 eta: 2 days, 7:30:59 time: 0.4408 data_time: 0.0130 memory: 17087 grad_norm: 5.0559 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3610 loss: 2.3610 2022/08/03 11:17:11 - mmengine - INFO - Epoch(train) [10][840/1879] lr: 1.0000e-02 eta: 2 days, 7:30:47 time: 0.4247 data_time: 0.0160 memory: 17087 grad_norm: 5.0129 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1419 loss: 2.1419 2022/08/03 11:17:20 - mmengine - INFO - Epoch(train) [10][860/1879] lr: 1.0000e-02 eta: 2 days, 7:30:44 time: 0.4428 data_time: 0.0143 memory: 17087 grad_norm: 4.9713 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3695 loss: 2.3695 2022/08/03 11:17:28 - mmengine - INFO - Epoch(train) [10][880/1879] lr: 1.0000e-02 eta: 2 days, 7:30:31 time: 0.4233 data_time: 0.0146 memory: 17087 grad_norm: 4.9035 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9382 loss: 1.9382 2022/08/03 11:17:37 - mmengine - INFO - Epoch(train) [10][900/1879] lr: 1.0000e-02 eta: 2 days, 7:30:20 time: 0.4269 data_time: 0.0145 memory: 17087 grad_norm: 4.8801 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1762 loss: 2.1762 2022/08/03 11:17:45 - mmengine - INFO - Epoch(train) [10][920/1879] lr: 1.0000e-02 eta: 2 days, 7:30:07 time: 0.4227 data_time: 0.0147 memory: 17087 grad_norm: 5.0167 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2736 loss: 2.2736 2022/08/03 11:17:54 - mmengine - INFO - Epoch(train) [10][940/1879] lr: 1.0000e-02 eta: 2 days, 7:29:56 time: 0.4272 data_time: 0.0183 memory: 17087 grad_norm: 5.0866 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2022 loss: 2.2022 2022/08/03 11:18:02 - mmengine - INFO - Epoch(train) [10][960/1879] lr: 1.0000e-02 eta: 2 days, 7:29:44 time: 0.4249 data_time: 0.0144 memory: 17087 grad_norm: 4.9337 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2094 loss: 2.2094 2022/08/03 11:18:11 - mmengine - INFO - Epoch(train) [10][980/1879] lr: 1.0000e-02 eta: 2 days, 7:29:31 time: 0.4223 data_time: 0.0142 memory: 17087 grad_norm: 5.0808 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1684 loss: 2.1684 2022/08/03 11:18:20 - mmengine - INFO - Epoch(train) [10][1000/1879] lr: 1.0000e-02 eta: 2 days, 7:29:26 time: 0.4381 data_time: 0.0155 memory: 17087 grad_norm: 5.0185 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3486 loss: 2.3486 2022/08/03 11:18:28 - mmengine - INFO - Epoch(train) [10][1020/1879] lr: 1.0000e-02 eta: 2 days, 7:29:13 time: 0.4234 data_time: 0.0165 memory: 17087 grad_norm: 4.8711 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1204 loss: 2.1204 2022/08/03 11:18:37 - mmengine - INFO - Epoch(train) [10][1040/1879] lr: 1.0000e-02 eta: 2 days, 7:29:05 time: 0.4315 data_time: 0.0146 memory: 17087 grad_norm: 5.1263 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2073 loss: 2.2073 2022/08/03 11:18:45 - mmengine - INFO - Epoch(train) [10][1060/1879] lr: 1.0000e-02 eta: 2 days, 7:28:52 time: 0.4228 data_time: 0.0138 memory: 17087 grad_norm: 5.1484 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3095 loss: 2.3095 2022/08/03 11:18:54 - mmengine - INFO - Epoch(train) [10][1080/1879] lr: 1.0000e-02 eta: 2 days, 7:28:42 time: 0.4290 data_time: 0.0206 memory: 17087 grad_norm: 4.8430 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0889 loss: 2.0889 2022/08/03 11:18:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:19:02 - mmengine - INFO - Epoch(train) [10][1100/1879] lr: 1.0000e-02 eta: 2 days, 7:28:31 time: 0.4266 data_time: 0.0138 memory: 17087 grad_norm: 5.0826 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1943 loss: 2.1943 2022/08/03 11:19:11 - mmengine - INFO - Epoch(train) [10][1120/1879] lr: 1.0000e-02 eta: 2 days, 7:28:19 time: 0.4252 data_time: 0.0161 memory: 17087 grad_norm: 5.0277 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3425 loss: 2.3425 2022/08/03 11:19:20 - mmengine - INFO - Epoch(train) [10][1140/1879] lr: 1.0000e-02 eta: 2 days, 7:28:15 time: 0.4413 data_time: 0.0148 memory: 17087 grad_norm: 4.9979 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3221 loss: 2.3221 2022/08/03 11:19:28 - mmengine - INFO - Epoch(train) [10][1160/1879] lr: 1.0000e-02 eta: 2 days, 7:28:05 time: 0.4282 data_time: 0.0166 memory: 17087 grad_norm: 4.9648 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8518 loss: 1.8518 2022/08/03 11:19:37 - mmengine - INFO - Epoch(train) [10][1180/1879] lr: 1.0000e-02 eta: 2 days, 7:28:05 time: 0.4479 data_time: 0.0210 memory: 17087 grad_norm: 5.0687 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.4170 loss: 2.4170 2022/08/03 11:19:46 - mmengine - INFO - Epoch(train) [10][1200/1879] lr: 1.0000e-02 eta: 2 days, 7:27:52 time: 0.4236 data_time: 0.0138 memory: 17087 grad_norm: 4.9915 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3342 loss: 2.3342 2022/08/03 11:19:54 - mmengine - INFO - Epoch(train) [10][1220/1879] lr: 1.0000e-02 eta: 2 days, 7:27:40 time: 0.4236 data_time: 0.0147 memory: 17087 grad_norm: 5.0809 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2280 loss: 2.2280 2022/08/03 11:20:03 - mmengine - INFO - Epoch(train) [10][1240/1879] lr: 1.0000e-02 eta: 2 days, 7:27:30 time: 0.4295 data_time: 0.0165 memory: 17087 grad_norm: 5.0823 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.1613 loss: 2.1613 2022/08/03 11:20:11 - mmengine - INFO - Epoch(train) [10][1260/1879] lr: 1.0000e-02 eta: 2 days, 7:27:22 time: 0.4319 data_time: 0.0151 memory: 17087 grad_norm: 5.1484 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1877 loss: 2.1877 2022/08/03 11:20:20 - mmengine - INFO - Epoch(train) [10][1280/1879] lr: 1.0000e-02 eta: 2 days, 7:27:10 time: 0.4252 data_time: 0.0153 memory: 17087 grad_norm: 5.0412 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0987 loss: 2.0987 2022/08/03 11:20:28 - mmengine - INFO - Epoch(train) [10][1300/1879] lr: 1.0000e-02 eta: 2 days, 7:27:01 time: 0.4309 data_time: 0.0213 memory: 17087 grad_norm: 4.9992 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1383 loss: 2.1383 2022/08/03 11:20:37 - mmengine - INFO - Epoch(train) [10][1320/1879] lr: 1.0000e-02 eta: 2 days, 7:26:53 time: 0.4316 data_time: 0.0158 memory: 17087 grad_norm: 5.0197 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3065 loss: 2.3065 2022/08/03 11:20:46 - mmengine - INFO - Epoch(train) [10][1340/1879] lr: 1.0000e-02 eta: 2 days, 7:26:41 time: 0.4247 data_time: 0.0145 memory: 17087 grad_norm: 5.2003 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 2.2525 loss: 2.2525 2022/08/03 11:20:54 - mmengine - INFO - Epoch(train) [10][1360/1879] lr: 1.0000e-02 eta: 2 days, 7:26:28 time: 0.4234 data_time: 0.0157 memory: 17087 grad_norm: 5.0442 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1890 loss: 2.1890 2022/08/03 11:21:02 - mmengine - INFO - Epoch(train) [10][1380/1879] lr: 1.0000e-02 eta: 2 days, 7:26:16 time: 0.4238 data_time: 0.0125 memory: 17087 grad_norm: 5.1572 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4528 loss: 2.4528 2022/08/03 11:21:11 - mmengine - INFO - Epoch(train) [10][1400/1879] lr: 1.0000e-02 eta: 2 days, 7:26:04 time: 0.4250 data_time: 0.0173 memory: 17087 grad_norm: 5.0027 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0914 loss: 2.0914 2022/08/03 11:21:20 - mmengine - INFO - Epoch(train) [10][1420/1879] lr: 1.0000e-02 eta: 2 days, 7:25:58 time: 0.4363 data_time: 0.0121 memory: 17087 grad_norm: 5.0646 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2702 loss: 2.2702 2022/08/03 11:21:28 - mmengine - INFO - Epoch(train) [10][1440/1879] lr: 1.0000e-02 eta: 2 days, 7:25:46 time: 0.4247 data_time: 0.0178 memory: 17087 grad_norm: 5.0699 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2552 loss: 2.2552 2022/08/03 11:21:37 - mmengine - INFO - Epoch(train) [10][1460/1879] lr: 1.0000e-02 eta: 2 days, 7:25:44 time: 0.4440 data_time: 0.0138 memory: 17087 grad_norm: 4.9192 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1770 loss: 2.1770 2022/08/03 11:21:46 - mmengine - INFO - Epoch(train) [10][1480/1879] lr: 1.0000e-02 eta: 2 days, 7:25:32 time: 0.4247 data_time: 0.0147 memory: 17087 grad_norm: 5.0335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0814 loss: 2.0814 2022/08/03 11:21:54 - mmengine - INFO - Epoch(train) [10][1500/1879] lr: 1.0000e-02 eta: 2 days, 7:25:19 time: 0.4235 data_time: 0.0139 memory: 17087 grad_norm: 4.9429 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1693 loss: 2.1693 2022/08/03 11:22:03 - mmengine - INFO - Epoch(train) [10][1520/1879] lr: 1.0000e-02 eta: 2 days, 7:25:10 time: 0.4292 data_time: 0.0154 memory: 17087 grad_norm: 5.0557 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3059 loss: 2.3059 2022/08/03 11:22:11 - mmengine - INFO - Epoch(train) [10][1540/1879] lr: 1.0000e-02 eta: 2 days, 7:24:57 time: 0.4239 data_time: 0.0139 memory: 17087 grad_norm: 4.8479 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0932 loss: 2.0932 2022/08/03 11:22:20 - mmengine - INFO - Epoch(train) [10][1560/1879] lr: 1.0000e-02 eta: 2 days, 7:24:45 time: 0.4241 data_time: 0.0154 memory: 17087 grad_norm: 4.9531 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2005 loss: 2.2005 2022/08/03 11:22:28 - mmengine - INFO - Epoch(train) [10][1580/1879] lr: 1.0000e-02 eta: 2 days, 7:24:32 time: 0.4217 data_time: 0.0140 memory: 17087 grad_norm: 4.9351 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3149 loss: 2.3149 2022/08/03 11:22:37 - mmengine - INFO - Epoch(train) [10][1600/1879] lr: 1.0000e-02 eta: 2 days, 7:24:20 time: 0.4257 data_time: 0.0160 memory: 17087 grad_norm: 5.0309 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2544 loss: 2.2544 2022/08/03 11:22:45 - mmengine - INFO - Epoch(train) [10][1620/1879] lr: 1.0000e-02 eta: 2 days, 7:24:08 time: 0.4236 data_time: 0.0136 memory: 17087 grad_norm: 4.9615 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1772 loss: 2.1772 2022/08/03 11:22:54 - mmengine - INFO - Epoch(train) [10][1640/1879] lr: 1.0000e-02 eta: 2 days, 7:23:56 time: 0.4246 data_time: 0.0145 memory: 17087 grad_norm: 4.9474 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.1463 loss: 2.1463 2022/08/03 11:23:02 - mmengine - INFO - Epoch(train) [10][1660/1879] lr: 1.0000e-02 eta: 2 days, 7:23:53 time: 0.4434 data_time: 0.0191 memory: 17087 grad_norm: 4.9404 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1408 loss: 2.1408 2022/08/03 11:23:11 - mmengine - INFO - Epoch(train) [10][1680/1879] lr: 1.0000e-02 eta: 2 days, 7:23:40 time: 0.4227 data_time: 0.0146 memory: 17087 grad_norm: 4.9212 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1151 loss: 2.1151 2022/08/03 11:23:19 - mmengine - INFO - Epoch(train) [10][1700/1879] lr: 1.0000e-02 eta: 2 days, 7:23:32 time: 0.4310 data_time: 0.0170 memory: 17087 grad_norm: 4.9445 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3503 loss: 2.3503 2022/08/03 11:23:28 - mmengine - INFO - Epoch(train) [10][1720/1879] lr: 1.0000e-02 eta: 2 days, 7:23:20 time: 0.4250 data_time: 0.0147 memory: 17087 grad_norm: 4.9182 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.3388 loss: 2.3388 2022/08/03 11:23:37 - mmengine - INFO - Epoch(train) [10][1740/1879] lr: 1.0000e-02 eta: 2 days, 7:23:10 time: 0.4281 data_time: 0.0128 memory: 17087 grad_norm: 5.0027 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.3473 loss: 2.3473 2022/08/03 11:23:45 - mmengine - INFO - Epoch(train) [10][1760/1879] lr: 1.0000e-02 eta: 2 days, 7:22:58 time: 0.4243 data_time: 0.0146 memory: 17087 grad_norm: 4.9028 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2277 loss: 2.2277 2022/08/03 11:23:53 - mmengine - INFO - Epoch(train) [10][1780/1879] lr: 1.0000e-02 eta: 2 days, 7:22:45 time: 0.4226 data_time: 0.0128 memory: 17087 grad_norm: 4.9410 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4038 loss: 2.4038 2022/08/03 11:24:02 - mmengine - INFO - Epoch(train) [10][1800/1879] lr: 1.0000e-02 eta: 2 days, 7:22:38 time: 0.4358 data_time: 0.0178 memory: 17087 grad_norm: 5.0349 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2409 loss: 2.2409 2022/08/03 11:24:11 - mmengine - INFO - Epoch(train) [10][1820/1879] lr: 1.0000e-02 eta: 2 days, 7:22:26 time: 0.4243 data_time: 0.0136 memory: 17087 grad_norm: 5.0178 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.1870 loss: 2.1870 2022/08/03 11:24:19 - mmengine - INFO - Epoch(train) [10][1840/1879] lr: 1.0000e-02 eta: 2 days, 7:22:21 time: 0.4375 data_time: 0.0176 memory: 17087 grad_norm: 5.0507 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2686 loss: 2.2686 2022/08/03 11:24:28 - mmengine - INFO - Epoch(train) [10][1860/1879] lr: 1.0000e-02 eta: 2 days, 7:22:11 time: 0.4281 data_time: 0.0190 memory: 17087 grad_norm: 4.9118 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.3326 loss: 2.3326 2022/08/03 11:24:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:24:36 - mmengine - INFO - Epoch(train) [10][1879/1879] lr: 1.0000e-02 eta: 2 days, 7:22:11 time: 0.4041 data_time: 0.0129 memory: 17087 grad_norm: 5.0317 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.1455 loss: 2.1455 2022/08/03 11:24:43 - mmengine - INFO - Epoch(val) [10][20/155] eta: 0:00:49 time: 0.3649 data_time: 0.1931 memory: 2821 2022/08/03 11:24:48 - mmengine - INFO - Epoch(val) [10][40/155] eta: 0:00:28 time: 0.2499 data_time: 0.0823 memory: 2821 2022/08/03 11:24:54 - mmengine - INFO - Epoch(val) [10][60/155] eta: 0:00:29 time: 0.3140 data_time: 0.1494 memory: 2821 2022/08/03 11:25:00 - mmengine - INFO - Epoch(val) [10][80/155] eta: 0:00:20 time: 0.2679 data_time: 0.1015 memory: 2821 2022/08/03 11:25:06 - mmengine - INFO - Epoch(val) [10][100/155] eta: 0:00:18 time: 0.3305 data_time: 0.1598 memory: 2821 2022/08/03 11:25:11 - mmengine - INFO - Epoch(val) [10][120/155] eta: 0:00:09 time: 0.2584 data_time: 0.0901 memory: 2821 2022/08/03 11:25:18 - mmengine - INFO - Epoch(val) [10][140/155] eta: 0:00:04 time: 0.3315 data_time: 0.1603 memory: 2821 2022/08/03 11:25:24 - mmengine - INFO - Epoch(val) [10][155/155] acc/top1: 0.5722 acc/top5: 0.8123 acc/mean1: 0.5720 2022/08/03 11:25:24 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/best_acc/top1_epoch_6.pth is removed 2022/08/03 11:25:26 - mmengine - INFO - The best checkpoint with 0.5722 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/08/03 11:25:37 - mmengine - INFO - Epoch(train) [11][20/1879] lr: 1.0000e-02 eta: 2 days, 7:19:14 time: 0.5163 data_time: 0.1067 memory: 17087 grad_norm: 4.9295 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0921 loss: 2.0921 2022/08/03 11:25:45 - mmengine - INFO - Epoch(train) [11][40/1879] lr: 1.0000e-02 eta: 2 days, 7:19:03 time: 0.4244 data_time: 0.0195 memory: 17087 grad_norm: 5.0068 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0466 loss: 2.0466 2022/08/03 11:25:54 - mmengine - INFO - Epoch(train) [11][60/1879] lr: 1.0000e-02 eta: 2 days, 7:18:49 time: 0.4217 data_time: 0.0145 memory: 17087 grad_norm: 5.0291 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.3270 loss: 2.3270 2022/08/03 11:26:02 - mmengine - INFO - Epoch(train) [11][80/1879] lr: 1.0000e-02 eta: 2 days, 7:18:38 time: 0.4250 data_time: 0.0138 memory: 17087 grad_norm: 4.8996 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2273 loss: 2.2273 2022/08/03 11:26:11 - mmengine - INFO - Epoch(train) [11][100/1879] lr: 1.0000e-02 eta: 2 days, 7:18:27 time: 0.4263 data_time: 0.0148 memory: 17087 grad_norm: 5.0142 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2138 loss: 2.2138 2022/08/03 11:26:19 - mmengine - INFO - Epoch(train) [11][120/1879] lr: 1.0000e-02 eta: 2 days, 7:18:15 time: 0.4246 data_time: 0.0157 memory: 17087 grad_norm: 4.8909 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0730 loss: 2.0730 2022/08/03 11:26:28 - mmengine - INFO - Epoch(train) [11][140/1879] lr: 1.0000e-02 eta: 2 days, 7:18:03 time: 0.4226 data_time: 0.0151 memory: 17087 grad_norm: 4.9542 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0662 loss: 2.0662 2022/08/03 11:26:36 - mmengine - INFO - Epoch(train) [11][160/1879] lr: 1.0000e-02 eta: 2 days, 7:17:54 time: 0.4299 data_time: 0.0160 memory: 17087 grad_norm: 4.8973 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2530 loss: 2.2530 2022/08/03 11:26:45 - mmengine - INFO - Epoch(train) [11][180/1879] lr: 1.0000e-02 eta: 2 days, 7:17:52 time: 0.4454 data_time: 0.0136 memory: 17087 grad_norm: 4.9700 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1806 loss: 2.1806 2022/08/03 11:26:54 - mmengine - INFO - Epoch(train) [11][200/1879] lr: 1.0000e-02 eta: 2 days, 7:17:42 time: 0.4268 data_time: 0.0164 memory: 17087 grad_norm: 4.9935 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2030 loss: 2.2030 2022/08/03 11:26:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:27:02 - mmengine - INFO - Epoch(train) [11][220/1879] lr: 1.0000e-02 eta: 2 days, 7:17:29 time: 0.4218 data_time: 0.0168 memory: 17087 grad_norm: 4.9196 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4461 loss: 2.4461 2022/08/03 11:27:11 - mmengine - INFO - Epoch(train) [11][240/1879] lr: 1.0000e-02 eta: 2 days, 7:17:17 time: 0.4246 data_time: 0.0152 memory: 17087 grad_norm: 4.9799 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0289 loss: 2.0289 2022/08/03 11:27:20 - mmengine - INFO - Epoch(train) [11][260/1879] lr: 1.0000e-02 eta: 2 days, 7:17:14 time: 0.4430 data_time: 0.0165 memory: 17087 grad_norm: 4.8745 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1089 loss: 2.1089 2022/08/03 11:27:28 - mmengine - INFO - Epoch(train) [11][280/1879] lr: 1.0000e-02 eta: 2 days, 7:17:05 time: 0.4296 data_time: 0.0222 memory: 17087 grad_norm: 4.9242 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0447 loss: 2.0447 2022/08/03 11:27:37 - mmengine - INFO - Epoch(train) [11][300/1879] lr: 1.0000e-02 eta: 2 days, 7:17:01 time: 0.4413 data_time: 0.0144 memory: 17087 grad_norm: 4.9235 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9458 loss: 1.9458 2022/08/03 11:27:45 - mmengine - INFO - Epoch(train) [11][320/1879] lr: 1.0000e-02 eta: 2 days, 7:16:49 time: 0.4221 data_time: 0.0156 memory: 17087 grad_norm: 4.9609 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2348 loss: 2.2348 2022/08/03 11:27:54 - mmengine - INFO - Epoch(train) [11][340/1879] lr: 1.0000e-02 eta: 2 days, 7:16:36 time: 0.4220 data_time: 0.0137 memory: 17087 grad_norm: 4.7919 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2119 loss: 2.2119 2022/08/03 11:28:02 - mmengine - INFO - Epoch(train) [11][360/1879] lr: 1.0000e-02 eta: 2 days, 7:16:25 time: 0.4265 data_time: 0.0159 memory: 17087 grad_norm: 4.9521 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2432 loss: 2.2432 2022/08/03 11:28:11 - mmengine - INFO - Epoch(train) [11][380/1879] lr: 1.0000e-02 eta: 2 days, 7:16:15 time: 0.4289 data_time: 0.0136 memory: 17087 grad_norm: 4.9909 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1219 loss: 2.1219 2022/08/03 11:28:19 - mmengine - INFO - Epoch(train) [11][400/1879] lr: 1.0000e-02 eta: 2 days, 7:16:05 time: 0.4269 data_time: 0.0145 memory: 17087 grad_norm: 4.8098 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3698 loss: 2.3698 2022/08/03 11:28:28 - mmengine - INFO - Epoch(train) [11][420/1879] lr: 1.0000e-02 eta: 2 days, 7:15:53 time: 0.4238 data_time: 0.0136 memory: 17087 grad_norm: 4.9256 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1658 loss: 2.1658 2022/08/03 11:28:36 - mmengine - INFO - Epoch(train) [11][440/1879] lr: 1.0000e-02 eta: 2 days, 7:15:41 time: 0.4240 data_time: 0.0160 memory: 17087 grad_norm: 4.9687 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0810 loss: 2.0810 2022/08/03 11:28:45 - mmengine - INFO - Epoch(train) [11][460/1879] lr: 1.0000e-02 eta: 2 days, 7:15:28 time: 0.4223 data_time: 0.0127 memory: 17087 grad_norm: 5.0192 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1460 loss: 2.1460 2022/08/03 11:28:53 - mmengine - INFO - Epoch(train) [11][480/1879] lr: 1.0000e-02 eta: 2 days, 7:15:17 time: 0.4243 data_time: 0.0163 memory: 17087 grad_norm: 4.8336 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9831 loss: 1.9831 2022/08/03 11:29:02 - mmengine - INFO - Epoch(train) [11][500/1879] lr: 1.0000e-02 eta: 2 days, 7:15:14 time: 0.4439 data_time: 0.0147 memory: 17087 grad_norm: 5.1118 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2164 loss: 2.2164 2022/08/03 11:29:11 - mmengine - INFO - Epoch(train) [11][520/1879] lr: 1.0000e-02 eta: 2 days, 7:15:02 time: 0.4235 data_time: 0.0165 memory: 17087 grad_norm: 5.0644 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3384 loss: 2.3384 2022/08/03 11:29:20 - mmengine - INFO - Epoch(train) [11][540/1879] lr: 1.0000e-02 eta: 2 days, 7:15:08 time: 0.4604 data_time: 0.0155 memory: 17087 grad_norm: 4.8850 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0758 loss: 2.0758 2022/08/03 11:29:29 - mmengine - INFO - Epoch(train) [11][560/1879] lr: 1.0000e-02 eta: 2 days, 7:14:56 time: 0.4240 data_time: 0.0174 memory: 17087 grad_norm: 4.9821 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0026 loss: 2.0026 2022/08/03 11:29:37 - mmengine - INFO - Epoch(train) [11][580/1879] lr: 1.0000e-02 eta: 2 days, 7:14:50 time: 0.4369 data_time: 0.0213 memory: 17087 grad_norm: 4.9810 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2178 loss: 2.2178 2022/08/03 11:29:46 - mmengine - INFO - Epoch(train) [11][600/1879] lr: 1.0000e-02 eta: 2 days, 7:14:38 time: 0.4229 data_time: 0.0153 memory: 17087 grad_norm: 5.0455 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0381 loss: 2.0381 2022/08/03 11:29:54 - mmengine - INFO - Epoch(train) [11][620/1879] lr: 1.0000e-02 eta: 2 days, 7:14:25 time: 0.4227 data_time: 0.0161 memory: 17087 grad_norm: 4.9759 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9834 loss: 1.9834 2022/08/03 11:30:03 - mmengine - INFO - Epoch(train) [11][640/1879] lr: 1.0000e-02 eta: 2 days, 7:14:21 time: 0.4404 data_time: 0.0166 memory: 17087 grad_norm: 4.9115 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1114 loss: 2.1114 2022/08/03 11:30:11 - mmengine - INFO - Epoch(train) [11][660/1879] lr: 1.0000e-02 eta: 2 days, 7:14:09 time: 0.4234 data_time: 0.0149 memory: 17087 grad_norm: 4.9174 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0107 loss: 2.0107 2022/08/03 11:30:20 - mmengine - INFO - Epoch(train) [11][680/1879] lr: 1.0000e-02 eta: 2 days, 7:14:06 time: 0.4432 data_time: 0.0168 memory: 17087 grad_norm: 4.8730 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2872 loss: 2.2872 2022/08/03 11:30:29 - mmengine - INFO - Epoch(train) [11][700/1879] lr: 1.0000e-02 eta: 2 days, 7:13:53 time: 0.4216 data_time: 0.0143 memory: 17087 grad_norm: 4.8514 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1092 loss: 2.1092 2022/08/03 11:30:38 - mmengine - INFO - Epoch(train) [11][720/1879] lr: 1.0000e-02 eta: 2 days, 7:13:51 time: 0.4436 data_time: 0.0167 memory: 17087 grad_norm: 5.0041 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.3673 loss: 2.3673 2022/08/03 11:30:46 - mmengine - INFO - Epoch(train) [11][740/1879] lr: 1.0000e-02 eta: 2 days, 7:13:39 time: 0.4244 data_time: 0.0140 memory: 17087 grad_norm: 5.0427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2997 loss: 2.2997 2022/08/03 11:30:54 - mmengine - INFO - Epoch(train) [11][760/1879] lr: 1.0000e-02 eta: 2 days, 7:13:27 time: 0.4225 data_time: 0.0148 memory: 17087 grad_norm: 4.9113 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0261 loss: 2.0261 2022/08/03 11:31:03 - mmengine - INFO - Epoch(train) [11][780/1879] lr: 1.0000e-02 eta: 2 days, 7:13:18 time: 0.4313 data_time: 0.0149 memory: 17087 grad_norm: 5.0173 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9821 loss: 1.9821 2022/08/03 11:31:12 - mmengine - INFO - Epoch(train) [11][800/1879] lr: 1.0000e-02 eta: 2 days, 7:13:08 time: 0.4270 data_time: 0.0164 memory: 17087 grad_norm: 4.8550 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2531 loss: 2.2531 2022/08/03 11:31:20 - mmengine - INFO - Epoch(train) [11][820/1879] lr: 1.0000e-02 eta: 2 days, 7:12:57 time: 0.4257 data_time: 0.0170 memory: 17087 grad_norm: 4.8093 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0738 loss: 2.0738 2022/08/03 11:31:29 - mmengine - INFO - Epoch(train) [11][840/1879] lr: 1.0000e-02 eta: 2 days, 7:12:46 time: 0.4263 data_time: 0.0161 memory: 17087 grad_norm: 5.0190 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1971 loss: 2.1971 2022/08/03 11:31:37 - mmengine - INFO - Epoch(train) [11][860/1879] lr: 1.0000e-02 eta: 2 days, 7:12:38 time: 0.4323 data_time: 0.0179 memory: 17087 grad_norm: 4.9715 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3250 loss: 2.3250 2022/08/03 11:31:46 - mmengine - INFO - Epoch(train) [11][880/1879] lr: 1.0000e-02 eta: 2 days, 7:12:25 time: 0.4213 data_time: 0.0152 memory: 17087 grad_norm: 4.9634 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2750 loss: 2.2750 2022/08/03 11:31:54 - mmengine - INFO - Epoch(train) [11][900/1879] lr: 1.0000e-02 eta: 2 days, 7:12:14 time: 0.4247 data_time: 0.0150 memory: 17087 grad_norm: 5.0039 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2073 loss: 2.2073 2022/08/03 11:32:03 - mmengine - INFO - Epoch(train) [11][920/1879] lr: 1.0000e-02 eta: 2 days, 7:12:02 time: 0.4251 data_time: 0.0151 memory: 17087 grad_norm: 4.9099 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5230 loss: 2.5230 2022/08/03 11:32:11 - mmengine - INFO - Epoch(train) [11][940/1879] lr: 1.0000e-02 eta: 2 days, 7:11:50 time: 0.4238 data_time: 0.0158 memory: 17087 grad_norm: 4.8946 top1_acc: 0.3125 top5_acc: 0.9375 loss_cls: 2.2493 loss: 2.2493 2022/08/03 11:32:20 - mmengine - INFO - Epoch(train) [11][960/1879] lr: 1.0000e-02 eta: 2 days, 7:11:40 time: 0.4264 data_time: 0.0152 memory: 17087 grad_norm: 4.9551 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0675 loss: 2.0675 2022/08/03 11:32:28 - mmengine - INFO - Epoch(train) [11][980/1879] lr: 1.0000e-02 eta: 2 days, 7:11:28 time: 0.4232 data_time: 0.0142 memory: 17087 grad_norm: 4.9226 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0464 loss: 2.0464 2022/08/03 11:32:37 - mmengine - INFO - Epoch(train) [11][1000/1879] lr: 1.0000e-02 eta: 2 days, 7:11:17 time: 0.4257 data_time: 0.0150 memory: 17087 grad_norm: 4.9353 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0721 loss: 2.0721 2022/08/03 11:32:45 - mmengine - INFO - Epoch(train) [11][1020/1879] lr: 1.0000e-02 eta: 2 days, 7:11:04 time: 0.4218 data_time: 0.0133 memory: 17087 grad_norm: 5.0052 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3607 loss: 2.3607 2022/08/03 11:32:54 - mmengine - INFO - Epoch(train) [11][1040/1879] lr: 1.0000e-02 eta: 2 days, 7:10:52 time: 0.4248 data_time: 0.0146 memory: 17087 grad_norm: 4.8615 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1732 loss: 2.1732 2022/08/03 11:33:02 - mmengine - INFO - Epoch(train) [11][1060/1879] lr: 1.0000e-02 eta: 2 days, 7:10:43 time: 0.4283 data_time: 0.0150 memory: 17087 grad_norm: 4.9483 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1013 loss: 2.1013 2022/08/03 11:33:11 - mmengine - INFO - Epoch(train) [11][1080/1879] lr: 1.0000e-02 eta: 2 days, 7:10:32 time: 0.4254 data_time: 0.0164 memory: 17087 grad_norm: 4.8771 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1220 loss: 2.1220 2022/08/03 11:33:19 - mmengine - INFO - Epoch(train) [11][1100/1879] lr: 1.0000e-02 eta: 2 days, 7:10:19 time: 0.4229 data_time: 0.0155 memory: 17087 grad_norm: 4.9874 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2828 loss: 2.2828 2022/08/03 11:33:28 - mmengine - INFO - Epoch(train) [11][1120/1879] lr: 1.0000e-02 eta: 2 days, 7:10:12 time: 0.4328 data_time: 0.0166 memory: 17087 grad_norm: 4.8851 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1714 loss: 2.1714 2022/08/03 11:33:36 - mmengine - INFO - Epoch(train) [11][1140/1879] lr: 1.0000e-02 eta: 2 days, 7:09:59 time: 0.4227 data_time: 0.0135 memory: 17087 grad_norm: 4.9182 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0404 loss: 2.0404 2022/08/03 11:33:45 - mmengine - INFO - Epoch(train) [11][1160/1879] lr: 1.0000e-02 eta: 2 days, 7:09:52 time: 0.4335 data_time: 0.0224 memory: 17087 grad_norm: 4.8613 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1880 loss: 2.1880 2022/08/03 11:33:53 - mmengine - INFO - Epoch(train) [11][1180/1879] lr: 1.0000e-02 eta: 2 days, 7:09:40 time: 0.4231 data_time: 0.0135 memory: 17087 grad_norm: 4.9890 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1678 loss: 2.1678 2022/08/03 11:34:03 - mmengine - INFO - Epoch(train) [11][1200/1879] lr: 1.0000e-02 eta: 2 days, 7:09:42 time: 0.4551 data_time: 0.0174 memory: 17087 grad_norm: 4.9252 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1408 loss: 2.1408 2022/08/03 11:34:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:34:13 - mmengine - INFO - Epoch(train) [11][1220/1879] lr: 1.0000e-02 eta: 2 days, 7:10:08 time: 0.5056 data_time: 0.0143 memory: 17087 grad_norm: 4.8925 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3795 loss: 2.3795 2022/08/03 11:34:21 - mmengine - INFO - Epoch(train) [11][1240/1879] lr: 1.0000e-02 eta: 2 days, 7:09:59 time: 0.4295 data_time: 0.0166 memory: 17087 grad_norm: 4.9294 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1559 loss: 2.1559 2022/08/03 11:34:30 - mmengine - INFO - Epoch(train) [11][1260/1879] lr: 1.0000e-02 eta: 2 days, 7:09:47 time: 0.4238 data_time: 0.0131 memory: 17087 grad_norm: 4.8196 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.2919 loss: 2.2919 2022/08/03 11:34:38 - mmengine - INFO - Epoch(train) [11][1280/1879] lr: 1.0000e-02 eta: 2 days, 7:09:39 time: 0.4319 data_time: 0.0176 memory: 17087 grad_norm: 4.9647 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2472 loss: 2.2472 2022/08/03 11:34:47 - mmengine - INFO - Epoch(train) [11][1300/1879] lr: 1.0000e-02 eta: 2 days, 7:09:27 time: 0.4219 data_time: 0.0143 memory: 17087 grad_norm: 4.8347 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1997 loss: 2.1997 2022/08/03 11:34:55 - mmengine - INFO - Epoch(train) [11][1320/1879] lr: 1.0000e-02 eta: 2 days, 7:09:16 time: 0.4266 data_time: 0.0172 memory: 17087 grad_norm: 4.9326 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0763 loss: 2.0763 2022/08/03 11:35:04 - mmengine - INFO - Epoch(train) [11][1340/1879] lr: 1.0000e-02 eta: 2 days, 7:09:03 time: 0.4218 data_time: 0.0137 memory: 17087 grad_norm: 4.8221 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2013 loss: 2.2013 2022/08/03 11:35:12 - mmengine - INFO - Epoch(train) [11][1360/1879] lr: 1.0000e-02 eta: 2 days, 7:08:52 time: 0.4248 data_time: 0.0168 memory: 17087 grad_norm: 4.8990 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2613 loss: 2.2613 2022/08/03 11:35:21 - mmengine - INFO - Epoch(train) [11][1380/1879] lr: 1.0000e-02 eta: 2 days, 7:08:47 time: 0.4388 data_time: 0.0124 memory: 17087 grad_norm: 4.9515 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3139 loss: 2.3139 2022/08/03 11:35:30 - mmengine - INFO - Epoch(train) [11][1400/1879] lr: 1.0000e-02 eta: 2 days, 7:08:37 time: 0.4273 data_time: 0.0189 memory: 17087 grad_norm: 4.7247 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0732 loss: 2.0732 2022/08/03 11:35:38 - mmengine - INFO - Epoch(train) [11][1420/1879] lr: 1.0000e-02 eta: 2 days, 7:08:25 time: 0.4241 data_time: 0.0139 memory: 17087 grad_norm: 4.8242 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4099 loss: 2.4099 2022/08/03 11:35:47 - mmengine - INFO - Epoch(train) [11][1440/1879] lr: 1.0000e-02 eta: 2 days, 7:08:12 time: 0.4215 data_time: 0.0156 memory: 17087 grad_norm: 4.8672 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1814 loss: 2.1814 2022/08/03 11:35:55 - mmengine - INFO - Epoch(train) [11][1460/1879] lr: 1.0000e-02 eta: 2 days, 7:08:08 time: 0.4402 data_time: 0.0149 memory: 17087 grad_norm: 4.8853 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2933 loss: 2.2933 2022/08/03 11:36:04 - mmengine - INFO - Epoch(train) [11][1480/1879] lr: 1.0000e-02 eta: 2 days, 7:07:57 time: 0.4250 data_time: 0.0147 memory: 17087 grad_norm: 4.8553 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2207 loss: 2.2207 2022/08/03 11:36:13 - mmengine - INFO - Epoch(train) [11][1500/1879] lr: 1.0000e-02 eta: 2 days, 7:07:54 time: 0.4438 data_time: 0.0133 memory: 17087 grad_norm: 4.8216 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9869 loss: 1.9869 2022/08/03 11:36:21 - mmengine - INFO - Epoch(train) [11][1520/1879] lr: 1.0000e-02 eta: 2 days, 7:07:43 time: 0.4263 data_time: 0.0155 memory: 17087 grad_norm: 4.8247 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2404 loss: 2.2404 2022/08/03 11:36:30 - mmengine - INFO - Epoch(train) [11][1540/1879] lr: 1.0000e-02 eta: 2 days, 7:07:32 time: 0.4245 data_time: 0.0138 memory: 17087 grad_norm: 5.0515 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3344 loss: 2.3344 2022/08/03 11:36:38 - mmengine - INFO - Epoch(train) [11][1560/1879] lr: 1.0000e-02 eta: 2 days, 7:07:21 time: 0.4257 data_time: 0.0156 memory: 17087 grad_norm: 4.9239 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2486 loss: 2.2486 2022/08/03 11:36:47 - mmengine - INFO - Epoch(train) [11][1580/1879] lr: 1.0000e-02 eta: 2 days, 7:07:08 time: 0.4213 data_time: 0.0120 memory: 17087 grad_norm: 4.9283 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0996 loss: 2.0996 2022/08/03 11:36:55 - mmengine - INFO - Epoch(train) [11][1600/1879] lr: 1.0000e-02 eta: 2 days, 7:07:04 time: 0.4414 data_time: 0.0164 memory: 17087 grad_norm: 4.9237 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2667 loss: 2.2667 2022/08/03 11:37:04 - mmengine - INFO - Epoch(train) [11][1620/1879] lr: 1.0000e-02 eta: 2 days, 7:06:52 time: 0.4220 data_time: 0.0145 memory: 17087 grad_norm: 4.7712 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0676 loss: 2.0676 2022/08/03 11:37:13 - mmengine - INFO - Epoch(train) [11][1640/1879] lr: 1.0000e-02 eta: 2 days, 7:06:48 time: 0.4408 data_time: 0.0159 memory: 17087 grad_norm: 4.9021 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.1581 loss: 2.1581 2022/08/03 11:37:21 - mmengine - INFO - Epoch(train) [11][1660/1879] lr: 1.0000e-02 eta: 2 days, 7:06:36 time: 0.4247 data_time: 0.0146 memory: 17087 grad_norm: 4.8344 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0340 loss: 2.0340 2022/08/03 11:37:30 - mmengine - INFO - Epoch(train) [11][1680/1879] lr: 1.0000e-02 eta: 2 days, 7:06:26 time: 0.4259 data_time: 0.0166 memory: 17087 grad_norm: 4.8388 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.2740 loss: 2.2740 2022/08/03 11:37:38 - mmengine - INFO - Epoch(train) [11][1700/1879] lr: 1.0000e-02 eta: 2 days, 7:06:14 time: 0.4247 data_time: 0.0140 memory: 17087 grad_norm: 4.8980 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9027 loss: 1.9027 2022/08/03 11:37:47 - mmengine - INFO - Epoch(train) [11][1720/1879] lr: 1.0000e-02 eta: 2 days, 7:06:02 time: 0.4238 data_time: 0.0145 memory: 17087 grad_norm: 4.9551 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3463 loss: 2.3463 2022/08/03 11:37:56 - mmengine - INFO - Epoch(train) [11][1740/1879] lr: 1.0000e-02 eta: 2 days, 7:06:00 time: 0.4442 data_time: 0.0155 memory: 17087 grad_norm: 4.9843 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1629 loss: 2.1629 2022/08/03 11:38:04 - mmengine - INFO - Epoch(train) [11][1760/1879] lr: 1.0000e-02 eta: 2 days, 7:05:49 time: 0.4246 data_time: 0.0154 memory: 17087 grad_norm: 4.6806 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1326 loss: 2.1326 2022/08/03 11:38:13 - mmengine - INFO - Epoch(train) [11][1780/1879] lr: 1.0000e-02 eta: 2 days, 7:05:38 time: 0.4264 data_time: 0.0147 memory: 17087 grad_norm: 4.9442 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2011 loss: 2.2011 2022/08/03 11:38:21 - mmengine - INFO - Epoch(train) [11][1800/1879] lr: 1.0000e-02 eta: 2 days, 7:05:26 time: 0.4239 data_time: 0.0150 memory: 17087 grad_norm: 4.8671 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2391 loss: 2.2391 2022/08/03 11:38:30 - mmengine - INFO - Epoch(train) [11][1820/1879] lr: 1.0000e-02 eta: 2 days, 7:05:20 time: 0.4366 data_time: 0.0160 memory: 17087 grad_norm: 4.8336 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9633 loss: 1.9633 2022/08/03 11:38:38 - mmengine - INFO - Epoch(train) [11][1840/1879] lr: 1.0000e-02 eta: 2 days, 7:05:09 time: 0.4249 data_time: 0.0154 memory: 17087 grad_norm: 4.9672 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0532 loss: 2.0532 2022/08/03 11:38:47 - mmengine - INFO - Epoch(train) [11][1860/1879] lr: 1.0000e-02 eta: 2 days, 7:04:58 time: 0.4245 data_time: 0.0139 memory: 17087 grad_norm: 4.9584 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3066 loss: 2.3066 2022/08/03 11:38:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:38:55 - mmengine - INFO - Epoch(train) [11][1879/1879] lr: 1.0000e-02 eta: 2 days, 7:04:58 time: 0.4247 data_time: 0.0163 memory: 17087 grad_norm: 4.8987 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.1834 loss: 2.1834 2022/08/03 11:39:06 - mmengine - INFO - Epoch(train) [12][20/1879] lr: 1.0000e-02 eta: 2 days, 7:02:35 time: 0.5573 data_time: 0.0989 memory: 17087 grad_norm: 4.8609 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8483 loss: 1.8483 2022/08/03 11:39:15 - mmengine - INFO - Epoch(train) [12][40/1879] lr: 1.0000e-02 eta: 2 days, 7:02:25 time: 0.4275 data_time: 0.0182 memory: 17087 grad_norm: 4.9911 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0835 loss: 2.0835 2022/08/03 11:39:23 - mmengine - INFO - Epoch(train) [12][60/1879] lr: 1.0000e-02 eta: 2 days, 7:02:14 time: 0.4245 data_time: 0.0124 memory: 17087 grad_norm: 4.7760 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9084 loss: 1.9084 2022/08/03 11:39:32 - mmengine - INFO - Epoch(train) [12][80/1879] lr: 1.0000e-02 eta: 2 days, 7:02:02 time: 0.4234 data_time: 0.0159 memory: 17087 grad_norm: 4.8142 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2221 loss: 2.2221 2022/08/03 11:39:40 - mmengine - INFO - Epoch(train) [12][100/1879] lr: 1.0000e-02 eta: 2 days, 7:01:50 time: 0.4221 data_time: 0.0127 memory: 17087 grad_norm: 4.9442 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0800 loss: 2.0800 2022/08/03 11:39:49 - mmengine - INFO - Epoch(train) [12][120/1879] lr: 1.0000e-02 eta: 2 days, 7:01:39 time: 0.4250 data_time: 0.0161 memory: 17087 grad_norm: 4.9093 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2361 loss: 2.2361 2022/08/03 11:39:57 - mmengine - INFO - Epoch(train) [12][140/1879] lr: 1.0000e-02 eta: 2 days, 7:01:27 time: 0.4224 data_time: 0.0139 memory: 17087 grad_norm: 4.8975 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9842 loss: 1.9842 2022/08/03 11:40:06 - mmengine - INFO - Epoch(train) [12][160/1879] lr: 1.0000e-02 eta: 2 days, 7:01:16 time: 0.4254 data_time: 0.0180 memory: 17087 grad_norm: 4.8800 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1994 loss: 2.1994 2022/08/03 11:40:14 - mmengine - INFO - Epoch(train) [12][180/1879] lr: 1.0000e-02 eta: 2 days, 7:01:12 time: 0.4413 data_time: 0.0137 memory: 17087 grad_norm: 4.9426 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1940 loss: 2.1940 2022/08/03 11:40:23 - mmengine - INFO - Epoch(train) [12][200/1879] lr: 1.0000e-02 eta: 2 days, 7:01:01 time: 0.4249 data_time: 0.0166 memory: 17087 grad_norm: 4.8616 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0765 loss: 2.0765 2022/08/03 11:40:31 - mmengine - INFO - Epoch(train) [12][220/1879] lr: 1.0000e-02 eta: 2 days, 7:00:50 time: 0.4254 data_time: 0.0144 memory: 17087 grad_norm: 5.0125 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0145 loss: 2.0145 2022/08/03 11:40:40 - mmengine - INFO - Epoch(train) [12][240/1879] lr: 1.0000e-02 eta: 2 days, 7:00:39 time: 0.4253 data_time: 0.0164 memory: 17087 grad_norm: 4.9943 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2645 loss: 2.2645 2022/08/03 11:40:49 - mmengine - INFO - Epoch(train) [12][260/1879] lr: 1.0000e-02 eta: 2 days, 7:00:33 time: 0.4358 data_time: 0.0122 memory: 17087 grad_norm: 4.7596 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1116 loss: 2.1116 2022/08/03 11:40:57 - mmengine - INFO - Epoch(train) [12][280/1879] lr: 1.0000e-02 eta: 2 days, 7:00:22 time: 0.4251 data_time: 0.0163 memory: 17087 grad_norm: 5.1069 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2486 loss: 2.2486 2022/08/03 11:41:06 - mmengine - INFO - Epoch(train) [12][300/1879] lr: 1.0000e-02 eta: 2 days, 7:00:10 time: 0.4213 data_time: 0.0138 memory: 17087 grad_norm: 4.8663 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0773 loss: 2.0773 2022/08/03 11:41:14 - mmengine - INFO - Epoch(train) [12][320/1879] lr: 1.0000e-02 eta: 2 days, 7:00:07 time: 0.4448 data_time: 0.0162 memory: 17087 grad_norm: 4.7787 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8934 loss: 1.8934 2022/08/03 11:41:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:41:23 - mmengine - INFO - Epoch(train) [12][340/1879] lr: 1.0000e-02 eta: 2 days, 6:59:56 time: 0.4245 data_time: 0.0134 memory: 17087 grad_norm: 5.0213 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3352 loss: 2.3352 2022/08/03 11:41:31 - mmengine - INFO - Epoch(train) [12][360/1879] lr: 1.0000e-02 eta: 2 days, 6:59:45 time: 0.4249 data_time: 0.0186 memory: 17087 grad_norm: 4.8384 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1977 loss: 2.1977 2022/08/03 11:41:40 - mmengine - INFO - Epoch(train) [12][380/1879] lr: 1.0000e-02 eta: 2 days, 6:59:33 time: 0.4221 data_time: 0.0144 memory: 17087 grad_norm: 4.8478 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2869 loss: 2.2869 2022/08/03 11:41:48 - mmengine - INFO - Epoch(train) [12][400/1879] lr: 1.0000e-02 eta: 2 days, 6:59:22 time: 0.4254 data_time: 0.0169 memory: 17087 grad_norm: 4.9123 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1464 loss: 2.1464 2022/08/03 11:41:57 - mmengine - INFO - Epoch(train) [12][420/1879] lr: 1.0000e-02 eta: 2 days, 6:59:11 time: 0.4247 data_time: 0.0176 memory: 17087 grad_norm: 4.8849 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9439 loss: 1.9439 2022/08/03 11:42:06 - mmengine - INFO - Epoch(train) [12][440/1879] lr: 1.0000e-02 eta: 2 days, 6:59:04 time: 0.4344 data_time: 0.0149 memory: 17087 grad_norm: 4.9190 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2202 loss: 2.2202 2022/08/03 11:42:14 - mmengine - INFO - Epoch(train) [12][460/1879] lr: 1.0000e-02 eta: 2 days, 6:58:53 time: 0.4245 data_time: 0.0147 memory: 17087 grad_norm: 4.8480 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1400 loss: 2.1400 2022/08/03 11:42:23 - mmengine - INFO - Epoch(train) [12][480/1879] lr: 1.0000e-02 eta: 2 days, 6:58:42 time: 0.4249 data_time: 0.0142 memory: 17087 grad_norm: 4.9405 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2345 loss: 2.2345 2022/08/03 11:42:31 - mmengine - INFO - Epoch(train) [12][500/1879] lr: 1.0000e-02 eta: 2 days, 6:58:37 time: 0.4395 data_time: 0.0141 memory: 17087 grad_norm: 5.0155 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1724 loss: 2.1724 2022/08/03 11:42:40 - mmengine - INFO - Epoch(train) [12][520/1879] lr: 1.0000e-02 eta: 2 days, 6:58:27 time: 0.4256 data_time: 0.0169 memory: 17087 grad_norm: 4.9418 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2872 loss: 2.2872 2022/08/03 11:42:49 - mmengine - INFO - Epoch(train) [12][540/1879] lr: 1.0000e-02 eta: 2 days, 6:58:19 time: 0.4336 data_time: 0.0176 memory: 17087 grad_norm: 4.7946 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9142 loss: 1.9142 2022/08/03 11:42:57 - mmengine - INFO - Epoch(train) [12][560/1879] lr: 1.0000e-02 eta: 2 days, 6:58:09 time: 0.4259 data_time: 0.0154 memory: 17087 grad_norm: 5.0018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1366 loss: 2.1366 2022/08/03 11:43:06 - mmengine - INFO - Epoch(train) [12][580/1879] lr: 1.0000e-02 eta: 2 days, 6:57:57 time: 0.4227 data_time: 0.0139 memory: 17087 grad_norm: 4.9513 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2201 loss: 2.2201 2022/08/03 11:43:14 - mmengine - INFO - Epoch(train) [12][600/1879] lr: 1.0000e-02 eta: 2 days, 6:57:50 time: 0.4348 data_time: 0.0198 memory: 17087 grad_norm: 4.9032 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0392 loss: 2.0392 2022/08/03 11:43:23 - mmengine - INFO - Epoch(train) [12][620/1879] lr: 1.0000e-02 eta: 2 days, 6:57:38 time: 0.4221 data_time: 0.0129 memory: 17087 grad_norm: 4.9277 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2298 loss: 2.2298 2022/08/03 11:43:31 - mmengine - INFO - Epoch(train) [12][640/1879] lr: 1.0000e-02 eta: 2 days, 6:57:34 time: 0.4403 data_time: 0.0152 memory: 17087 grad_norm: 4.7802 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1538 loss: 2.1538 2022/08/03 11:43:40 - mmengine - INFO - Epoch(train) [12][660/1879] lr: 1.0000e-02 eta: 2 days, 6:57:22 time: 0.4230 data_time: 0.0137 memory: 17087 grad_norm: 5.0596 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2245 loss: 2.2245 2022/08/03 11:43:49 - mmengine - INFO - Epoch(train) [12][680/1879] lr: 1.0000e-02 eta: 2 days, 6:57:15 time: 0.4334 data_time: 0.0154 memory: 17087 grad_norm: 5.0259 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0238 loss: 2.0238 2022/08/03 11:43:57 - mmengine - INFO - Epoch(train) [12][700/1879] lr: 1.0000e-02 eta: 2 days, 6:57:03 time: 0.4228 data_time: 0.0148 memory: 17087 grad_norm: 4.7337 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8701 loss: 1.8701 2022/08/03 11:44:06 - mmengine - INFO - Epoch(train) [12][720/1879] lr: 1.0000e-02 eta: 2 days, 6:56:52 time: 0.4250 data_time: 0.0161 memory: 17087 grad_norm: 4.8886 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0649 loss: 2.0649 2022/08/03 11:44:14 - mmengine - INFO - Epoch(train) [12][740/1879] lr: 1.0000e-02 eta: 2 days, 6:56:40 time: 0.4219 data_time: 0.0137 memory: 17087 grad_norm: 4.9839 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1795 loss: 2.1795 2022/08/03 11:44:23 - mmengine - INFO - Epoch(train) [12][760/1879] lr: 1.0000e-02 eta: 2 days, 6:56:37 time: 0.4447 data_time: 0.0179 memory: 17087 grad_norm: 4.9752 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2950 loss: 2.2950 2022/08/03 11:44:31 - mmengine - INFO - Epoch(train) [12][780/1879] lr: 1.0000e-02 eta: 2 days, 6:56:27 time: 0.4272 data_time: 0.0140 memory: 17087 grad_norm: 4.9404 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8105 loss: 1.8105 2022/08/03 11:44:40 - mmengine - INFO - Epoch(train) [12][800/1879] lr: 1.0000e-02 eta: 2 days, 6:56:24 time: 0.4422 data_time: 0.0151 memory: 17087 grad_norm: 4.7674 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8536 loss: 1.8536 2022/08/03 11:44:49 - mmengine - INFO - Epoch(train) [12][820/1879] lr: 1.0000e-02 eta: 2 days, 6:56:14 time: 0.4284 data_time: 0.0225 memory: 17087 grad_norm: 4.9229 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0054 loss: 2.0054 2022/08/03 11:44:57 - mmengine - INFO - Epoch(train) [12][840/1879] lr: 1.0000e-02 eta: 2 days, 6:56:03 time: 0.4249 data_time: 0.0150 memory: 17087 grad_norm: 4.9176 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1723 loss: 2.1723 2022/08/03 11:45:06 - mmengine - INFO - Epoch(train) [12][860/1879] lr: 1.0000e-02 eta: 2 days, 6:55:55 time: 0.4311 data_time: 0.0153 memory: 17087 grad_norm: 4.8039 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1313 loss: 2.1313 2022/08/03 11:45:14 - mmengine - INFO - Epoch(train) [12][880/1879] lr: 1.0000e-02 eta: 2 days, 6:55:44 time: 0.4241 data_time: 0.0156 memory: 17087 grad_norm: 4.8371 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9740 loss: 1.9740 2022/08/03 11:45:23 - mmengine - INFO - Epoch(train) [12][900/1879] lr: 1.0000e-02 eta: 2 days, 6:55:39 time: 0.4387 data_time: 0.0150 memory: 17087 grad_norm: 5.0013 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9256 loss: 1.9256 2022/08/03 11:45:32 - mmengine - INFO - Epoch(train) [12][920/1879] lr: 1.0000e-02 eta: 2 days, 6:55:32 time: 0.4361 data_time: 0.0172 memory: 17087 grad_norm: 4.9791 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9802 loss: 1.9802 2022/08/03 11:45:41 - mmengine - INFO - Epoch(train) [12][940/1879] lr: 1.0000e-02 eta: 2 days, 6:55:30 time: 0.4441 data_time: 0.0160 memory: 17087 grad_norm: 5.0650 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2288 loss: 2.2288 2022/08/03 11:45:49 - mmengine - INFO - Epoch(train) [12][960/1879] lr: 1.0000e-02 eta: 2 days, 6:55:19 time: 0.4254 data_time: 0.0168 memory: 17087 grad_norm: 4.7854 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1446 loss: 2.1446 2022/08/03 11:45:58 - mmengine - INFO - Epoch(train) [12][980/1879] lr: 1.0000e-02 eta: 2 days, 6:55:07 time: 0.4224 data_time: 0.0141 memory: 17087 grad_norm: 4.8948 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0985 loss: 2.0985 2022/08/03 11:46:06 - mmengine - INFO - Epoch(train) [12][1000/1879] lr: 1.0000e-02 eta: 2 days, 6:54:58 time: 0.4296 data_time: 0.0171 memory: 17087 grad_norm: 4.8457 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0318 loss: 2.0318 2022/08/03 11:46:15 - mmengine - INFO - Epoch(train) [12][1020/1879] lr: 1.0000e-02 eta: 2 days, 6:54:46 time: 0.4236 data_time: 0.0150 memory: 17087 grad_norm: 4.8434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7972 loss: 1.7972 2022/08/03 11:46:24 - mmengine - INFO - Epoch(train) [12][1040/1879] lr: 1.0000e-02 eta: 2 days, 6:54:41 time: 0.4368 data_time: 0.0152 memory: 17087 grad_norm: 4.9692 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0550 loss: 2.0550 2022/08/03 11:46:32 - mmengine - INFO - Epoch(train) [12][1060/1879] lr: 1.0000e-02 eta: 2 days, 6:54:29 time: 0.4239 data_time: 0.0138 memory: 17087 grad_norm: 4.9865 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2711 loss: 2.2711 2022/08/03 11:46:41 - mmengine - INFO - Epoch(train) [12][1080/1879] lr: 1.0000e-02 eta: 2 days, 6:54:21 time: 0.4309 data_time: 0.0156 memory: 17087 grad_norm: 4.8433 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.1264 loss: 2.1264 2022/08/03 11:46:49 - mmengine - INFO - Epoch(train) [12][1100/1879] lr: 1.0000e-02 eta: 2 days, 6:54:09 time: 0.4236 data_time: 0.0133 memory: 17087 grad_norm: 4.9840 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0410 loss: 2.0410 2022/08/03 11:46:58 - mmengine - INFO - Epoch(train) [12][1120/1879] lr: 1.0000e-02 eta: 2 days, 6:53:58 time: 0.4246 data_time: 0.0151 memory: 17087 grad_norm: 4.8850 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3751 loss: 2.3751 2022/08/03 11:47:06 - mmengine - INFO - Epoch(train) [12][1140/1879] lr: 1.0000e-02 eta: 2 days, 6:53:50 time: 0.4317 data_time: 0.0146 memory: 17087 grad_norm: 4.8322 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0117 loss: 2.0117 2022/08/03 11:47:15 - mmengine - INFO - Epoch(train) [12][1160/1879] lr: 1.0000e-02 eta: 2 days, 6:53:41 time: 0.4284 data_time: 0.0185 memory: 17087 grad_norm: 4.9668 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1169 loss: 2.1169 2022/08/03 11:47:24 - mmengine - INFO - Epoch(train) [12][1180/1879] lr: 1.0000e-02 eta: 2 days, 6:53:37 time: 0.4409 data_time: 0.0158 memory: 17087 grad_norm: 4.8470 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2070 loss: 2.2070 2022/08/03 11:47:32 - mmengine - INFO - Epoch(train) [12][1200/1879] lr: 1.0000e-02 eta: 2 days, 6:53:26 time: 0.4258 data_time: 0.0156 memory: 17087 grad_norm: 4.9805 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3451 loss: 2.3451 2022/08/03 11:47:41 - mmengine - INFO - Epoch(train) [12][1220/1879] lr: 1.0000e-02 eta: 2 days, 6:53:22 time: 0.4409 data_time: 0.0147 memory: 17087 grad_norm: 4.7567 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0070 loss: 2.0070 2022/08/03 11:47:50 - mmengine - INFO - Epoch(train) [12][1240/1879] lr: 1.0000e-02 eta: 2 days, 6:53:13 time: 0.4304 data_time: 0.0197 memory: 17087 grad_norm: 4.8179 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1491 loss: 2.1491 2022/08/03 11:47:58 - mmengine - INFO - Epoch(train) [12][1260/1879] lr: 1.0000e-02 eta: 2 days, 6:53:03 time: 0.4259 data_time: 0.0148 memory: 17087 grad_norm: 4.9507 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1530 loss: 2.1530 2022/08/03 11:48:07 - mmengine - INFO - Epoch(train) [12][1280/1879] lr: 1.0000e-02 eta: 2 days, 6:52:54 time: 0.4288 data_time: 0.0169 memory: 17087 grad_norm: 4.7230 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0160 loss: 2.0160 2022/08/03 11:48:15 - mmengine - INFO - Epoch(train) [12][1300/1879] lr: 1.0000e-02 eta: 2 days, 6:52:42 time: 0.4231 data_time: 0.0150 memory: 17087 grad_norm: 4.8507 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0666 loss: 2.0666 2022/08/03 11:48:24 - mmengine - INFO - Epoch(train) [12][1320/1879] lr: 1.0000e-02 eta: 2 days, 6:52:39 time: 0.4442 data_time: 0.0154 memory: 17087 grad_norm: 4.9064 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1782 loss: 2.1782 2022/08/03 11:48:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:48:33 - mmengine - INFO - Epoch(train) [12][1340/1879] lr: 1.0000e-02 eta: 2 days, 6:52:31 time: 0.4301 data_time: 0.0209 memory: 17087 grad_norm: 4.8400 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2097 loss: 2.2097 2022/08/03 11:48:42 - mmengine - INFO - Epoch(train) [12][1360/1879] lr: 1.0000e-02 eta: 2 days, 6:52:26 time: 0.4404 data_time: 0.0171 memory: 17087 grad_norm: 4.8260 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1321 loss: 2.1321 2022/08/03 11:48:50 - mmengine - INFO - Epoch(train) [12][1380/1879] lr: 1.0000e-02 eta: 2 days, 6:52:17 time: 0.4300 data_time: 0.0188 memory: 17087 grad_norm: 4.8424 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1278 loss: 2.1278 2022/08/03 11:48:59 - mmengine - INFO - Epoch(train) [12][1400/1879] lr: 1.0000e-02 eta: 2 days, 6:52:07 time: 0.4265 data_time: 0.0161 memory: 17087 grad_norm: 4.8143 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0984 loss: 2.0984 2022/08/03 11:49:07 - mmengine - INFO - Epoch(train) [12][1420/1879] lr: 1.0000e-02 eta: 2 days, 6:51:56 time: 0.4243 data_time: 0.0148 memory: 17087 grad_norm: 4.8724 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3242 loss: 2.3242 2022/08/03 11:49:16 - mmengine - INFO - Epoch(train) [12][1440/1879] lr: 1.0000e-02 eta: 2 days, 6:51:44 time: 0.4226 data_time: 0.0144 memory: 17087 grad_norm: 4.8370 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0355 loss: 2.0355 2022/08/03 11:49:24 - mmengine - INFO - Epoch(train) [12][1460/1879] lr: 1.0000e-02 eta: 2 days, 6:51:33 time: 0.4253 data_time: 0.0143 memory: 17087 grad_norm: 4.9457 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1228 loss: 2.1228 2022/08/03 11:49:33 - mmengine - INFO - Epoch(train) [12][1480/1879] lr: 1.0000e-02 eta: 2 days, 6:51:22 time: 0.4231 data_time: 0.0143 memory: 17087 grad_norm: 4.7815 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0762 loss: 2.0762 2022/08/03 11:49:41 - mmengine - INFO - Epoch(train) [12][1500/1879] lr: 1.0000e-02 eta: 2 days, 6:51:11 time: 0.4241 data_time: 0.0141 memory: 17087 grad_norm: 4.8743 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2071 loss: 2.2071 2022/08/03 11:49:50 - mmengine - INFO - Epoch(train) [12][1520/1879] lr: 1.0000e-02 eta: 2 days, 6:50:59 time: 0.4242 data_time: 0.0155 memory: 17087 grad_norm: 4.7605 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2095 loss: 2.2095 2022/08/03 11:49:58 - mmengine - INFO - Epoch(train) [12][1540/1879] lr: 1.0000e-02 eta: 2 days, 6:50:48 time: 0.4231 data_time: 0.0133 memory: 17087 grad_norm: 4.8433 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2478 loss: 2.2478 2022/08/03 11:50:07 - mmengine - INFO - Epoch(train) [12][1560/1879] lr: 1.0000e-02 eta: 2 days, 6:50:38 time: 0.4264 data_time: 0.0167 memory: 17087 grad_norm: 4.8740 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2071 loss: 2.2071 2022/08/03 11:50:15 - mmengine - INFO - Epoch(train) [12][1580/1879] lr: 1.0000e-02 eta: 2 days, 6:50:26 time: 0.4232 data_time: 0.0140 memory: 17087 grad_norm: 4.8819 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0185 loss: 2.0185 2022/08/03 11:50:24 - mmengine - INFO - Epoch(train) [12][1600/1879] lr: 1.0000e-02 eta: 2 days, 6:50:24 time: 0.4453 data_time: 0.0161 memory: 17087 grad_norm: 4.8987 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.1023 loss: 2.1023 2022/08/03 11:50:32 - mmengine - INFO - Epoch(train) [12][1620/1879] lr: 1.0000e-02 eta: 2 days, 6:50:12 time: 0.4238 data_time: 0.0142 memory: 17087 grad_norm: 4.8278 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8946 loss: 1.8946 2022/08/03 11:50:41 - mmengine - INFO - Epoch(train) [12][1640/1879] lr: 1.0000e-02 eta: 2 days, 6:50:03 time: 0.4293 data_time: 0.0164 memory: 17087 grad_norm: 4.8569 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3420 loss: 2.3420 2022/08/03 11:50:49 - mmengine - INFO - Epoch(train) [12][1660/1879] lr: 1.0000e-02 eta: 2 days, 6:49:52 time: 0.4246 data_time: 0.0135 memory: 17087 grad_norm: 4.7727 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1740 loss: 2.1740 2022/08/03 11:50:58 - mmengine - INFO - Epoch(train) [12][1680/1879] lr: 1.0000e-02 eta: 2 days, 6:49:42 time: 0.4255 data_time: 0.0151 memory: 17087 grad_norm: 4.7401 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9638 loss: 1.9638 2022/08/03 11:51:06 - mmengine - INFO - Epoch(train) [12][1700/1879] lr: 1.0000e-02 eta: 2 days, 6:49:30 time: 0.4221 data_time: 0.0141 memory: 17087 grad_norm: 4.8729 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8498 loss: 1.8498 2022/08/03 11:51:15 - mmengine - INFO - Epoch(train) [12][1720/1879] lr: 1.0000e-02 eta: 2 days, 6:49:19 time: 0.4241 data_time: 0.0166 memory: 17087 grad_norm: 4.8251 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.2405 loss: 2.2405 2022/08/03 11:51:23 - mmengine - INFO - Epoch(train) [12][1740/1879] lr: 1.0000e-02 eta: 2 days, 6:49:07 time: 0.4225 data_time: 0.0130 memory: 17087 grad_norm: 4.9427 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1063 loss: 2.1063 2022/08/03 11:51:32 - mmengine - INFO - Epoch(train) [12][1760/1879] lr: 1.0000e-02 eta: 2 days, 6:49:06 time: 0.4498 data_time: 0.0172 memory: 17087 grad_norm: 4.8076 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0530 loss: 2.0530 2022/08/03 11:51:41 - mmengine - INFO - Epoch(train) [12][1780/1879] lr: 1.0000e-02 eta: 2 days, 6:48:56 time: 0.4273 data_time: 0.0191 memory: 17087 grad_norm: 4.9112 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1289 loss: 2.1289 2022/08/03 11:51:50 - mmengine - INFO - Epoch(train) [12][1800/1879] lr: 1.0000e-02 eta: 2 days, 6:48:55 time: 0.4491 data_time: 0.0165 memory: 17087 grad_norm: 4.9400 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1708 loss: 2.1708 2022/08/03 11:51:58 - mmengine - INFO - Epoch(train) [12][1820/1879] lr: 1.0000e-02 eta: 2 days, 6:48:44 time: 0.4224 data_time: 0.0128 memory: 17087 grad_norm: 4.8105 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1366 loss: 2.1366 2022/08/03 11:52:07 - mmengine - INFO - Epoch(train) [12][1840/1879] lr: 1.0000e-02 eta: 2 days, 6:48:34 time: 0.4273 data_time: 0.0198 memory: 17087 grad_norm: 5.0137 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5372 loss: 2.5372 2022/08/03 11:52:16 - mmengine - INFO - Epoch(train) [12][1860/1879] lr: 1.0000e-02 eta: 2 days, 6:48:31 time: 0.4452 data_time: 0.0145 memory: 17087 grad_norm: 4.7231 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9847 loss: 1.9847 2022/08/03 11:52:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:52:24 - mmengine - INFO - Epoch(train) [12][1879/1879] lr: 1.0000e-02 eta: 2 days, 6:48:31 time: 0.4120 data_time: 0.0199 memory: 17087 grad_norm: 4.8608 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.3119 loss: 2.3119 2022/08/03 11:52:24 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/08/03 11:52:37 - mmengine - INFO - Epoch(train) [13][20/1879] lr: 1.0000e-02 eta: 2 days, 6:46:02 time: 0.5125 data_time: 0.1007 memory: 17087 grad_norm: 4.8032 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1168 loss: 2.1168 2022/08/03 11:52:46 - mmengine - INFO - Epoch(train) [13][40/1879] lr: 1.0000e-02 eta: 2 days, 6:46:03 time: 0.4534 data_time: 0.0238 memory: 17087 grad_norm: 4.7527 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8564 loss: 1.8564 2022/08/03 11:52:55 - mmengine - INFO - Epoch(train) [13][60/1879] lr: 1.0000e-02 eta: 2 days, 6:45:53 time: 0.4281 data_time: 0.0177 memory: 17087 grad_norm: 4.8708 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0555 loss: 2.0555 2022/08/03 11:53:04 - mmengine - INFO - Epoch(train) [13][80/1879] lr: 1.0000e-02 eta: 2 days, 6:45:50 time: 0.4440 data_time: 0.0162 memory: 17087 grad_norm: 4.8258 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1335 loss: 2.1335 2022/08/03 11:53:12 - mmengine - INFO - Epoch(train) [13][100/1879] lr: 1.0000e-02 eta: 2 days, 6:45:39 time: 0.4227 data_time: 0.0126 memory: 17087 grad_norm: 4.7515 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9673 loss: 1.9673 2022/08/03 11:53:21 - mmengine - INFO - Epoch(train) [13][120/1879] lr: 1.0000e-02 eta: 2 days, 6:45:30 time: 0.4292 data_time: 0.0172 memory: 17087 grad_norm: 4.8234 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0374 loss: 2.0374 2022/08/03 11:53:29 - mmengine - INFO - Epoch(train) [13][140/1879] lr: 1.0000e-02 eta: 2 days, 6:45:18 time: 0.4222 data_time: 0.0133 memory: 17087 grad_norm: 4.7089 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0446 loss: 2.0446 2022/08/03 11:53:38 - mmengine - INFO - Epoch(train) [13][160/1879] lr: 1.0000e-02 eta: 2 days, 6:45:07 time: 0.4240 data_time: 0.0156 memory: 17087 grad_norm: 4.8242 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1058 loss: 2.1058 2022/08/03 11:53:46 - mmengine - INFO - Epoch(train) [13][180/1879] lr: 1.0000e-02 eta: 2 days, 6:45:00 time: 0.4357 data_time: 0.0177 memory: 17087 grad_norm: 4.9085 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0528 loss: 2.0528 2022/08/03 11:53:55 - mmengine - INFO - Epoch(train) [13][200/1879] lr: 1.0000e-02 eta: 2 days, 6:44:51 time: 0.4268 data_time: 0.0171 memory: 17087 grad_norm: 4.8352 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0161 loss: 2.0161 2022/08/03 11:54:04 - mmengine - INFO - Epoch(train) [13][220/1879] lr: 1.0000e-02 eta: 2 days, 6:44:42 time: 0.4310 data_time: 0.0200 memory: 17087 grad_norm: 4.7160 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0462 loss: 2.0462 2022/08/03 11:54:12 - mmengine - INFO - Epoch(train) [13][240/1879] lr: 1.0000e-02 eta: 2 days, 6:44:31 time: 0.4242 data_time: 0.0155 memory: 17087 grad_norm: 4.9556 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9612 loss: 1.9612 2022/08/03 11:54:21 - mmengine - INFO - Epoch(train) [13][260/1879] lr: 1.0000e-02 eta: 2 days, 6:44:27 time: 0.4409 data_time: 0.0143 memory: 17087 grad_norm: 4.7560 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1407 loss: 2.1407 2022/08/03 11:54:29 - mmengine - INFO - Epoch(train) [13][280/1879] lr: 1.0000e-02 eta: 2 days, 6:44:19 time: 0.4310 data_time: 0.0201 memory: 17087 grad_norm: 4.9302 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0561 loss: 2.0561 2022/08/03 11:54:38 - mmengine - INFO - Epoch(train) [13][300/1879] lr: 1.0000e-02 eta: 2 days, 6:44:07 time: 0.4222 data_time: 0.0145 memory: 17087 grad_norm: 4.8207 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1107 loss: 2.1107 2022/08/03 11:54:47 - mmengine - INFO - Epoch(train) [13][320/1879] lr: 1.0000e-02 eta: 2 days, 6:44:04 time: 0.4444 data_time: 0.0172 memory: 17087 grad_norm: 4.7918 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0730 loss: 2.0730 2022/08/03 11:54:55 - mmengine - INFO - Epoch(train) [13][340/1879] lr: 1.0000e-02 eta: 2 days, 6:43:55 time: 0.4290 data_time: 0.0206 memory: 17087 grad_norm: 4.7368 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0337 loss: 2.0337 2022/08/03 11:55:04 - mmengine - INFO - Epoch(train) [13][360/1879] lr: 1.0000e-02 eta: 2 days, 6:43:53 time: 0.4458 data_time: 0.0162 memory: 17087 grad_norm: 4.8835 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1988 loss: 2.1988 2022/08/03 11:55:13 - mmengine - INFO - Epoch(train) [13][380/1879] lr: 1.0000e-02 eta: 2 days, 6:43:43 time: 0.4276 data_time: 0.0183 memory: 17087 grad_norm: 4.7310 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.2619 loss: 2.2619 2022/08/03 11:55:22 - mmengine - INFO - Epoch(train) [13][400/1879] lr: 1.0000e-02 eta: 2 days, 6:43:40 time: 0.4443 data_time: 0.0156 memory: 17087 grad_norm: 4.8002 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0182 loss: 2.0182 2022/08/03 11:55:30 - mmengine - INFO - Epoch(train) [13][420/1879] lr: 1.0000e-02 eta: 2 days, 6:43:29 time: 0.4235 data_time: 0.0175 memory: 17087 grad_norm: 4.8569 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0592 loss: 2.0592 2022/08/03 11:55:39 - mmengine - INFO - Epoch(train) [13][440/1879] lr: 1.0000e-02 eta: 2 days, 6:43:19 time: 0.4258 data_time: 0.0161 memory: 17087 grad_norm: 4.9724 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0621 loss: 2.0621 2022/08/03 11:55:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:55:48 - mmengine - INFO - Epoch(train) [13][460/1879] lr: 1.0000e-02 eta: 2 days, 6:43:16 time: 0.4443 data_time: 0.0142 memory: 17087 grad_norm: 4.8449 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2174 loss: 2.2174 2022/08/03 11:55:56 - mmengine - INFO - Epoch(train) [13][480/1879] lr: 1.0000e-02 eta: 2 days, 6:43:06 time: 0.4273 data_time: 0.0200 memory: 17087 grad_norm: 4.7528 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9664 loss: 1.9664 2022/08/03 11:56:05 - mmengine - INFO - Epoch(train) [13][500/1879] lr: 1.0000e-02 eta: 2 days, 6:43:00 time: 0.4356 data_time: 0.0147 memory: 17087 grad_norm: 4.8413 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0381 loss: 2.0381 2022/08/03 11:56:13 - mmengine - INFO - Epoch(train) [13][520/1879] lr: 1.0000e-02 eta: 2 days, 6:42:50 time: 0.4267 data_time: 0.0174 memory: 17087 grad_norm: 4.7576 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0849 loss: 2.0849 2022/08/03 11:56:22 - mmengine - INFO - Epoch(train) [13][540/1879] lr: 1.0000e-02 eta: 2 days, 6:42:44 time: 0.4379 data_time: 0.0141 memory: 17087 grad_norm: 4.8771 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2700 loss: 2.2700 2022/08/03 11:56:31 - mmengine - INFO - Epoch(train) [13][560/1879] lr: 1.0000e-02 eta: 2 days, 6:42:35 time: 0.4296 data_time: 0.0147 memory: 17087 grad_norm: 4.8476 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8555 loss: 1.8555 2022/08/03 11:56:40 - mmengine - INFO - Epoch(train) [13][580/1879] lr: 1.0000e-02 eta: 2 days, 6:42:30 time: 0.4382 data_time: 0.0144 memory: 17087 grad_norm: 4.9992 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1818 loss: 2.1818 2022/08/03 11:56:48 - mmengine - INFO - Epoch(train) [13][600/1879] lr: 1.0000e-02 eta: 2 days, 6:42:19 time: 0.4248 data_time: 0.0169 memory: 17087 grad_norm: 4.7938 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9925 loss: 1.9925 2022/08/03 11:56:57 - mmengine - INFO - Epoch(train) [13][620/1879] lr: 1.0000e-02 eta: 2 days, 6:42:09 time: 0.4259 data_time: 0.0195 memory: 17087 grad_norm: 4.9027 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7711 loss: 1.7711 2022/08/03 11:57:05 - mmengine - INFO - Epoch(train) [13][640/1879] lr: 1.0000e-02 eta: 2 days, 6:41:59 time: 0.4265 data_time: 0.0156 memory: 17087 grad_norm: 4.9033 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0053 loss: 2.0053 2022/08/03 11:57:14 - mmengine - INFO - Epoch(train) [13][660/1879] lr: 1.0000e-02 eta: 2 days, 6:41:48 time: 0.4235 data_time: 0.0160 memory: 17087 grad_norm: 4.8590 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0516 loss: 2.0516 2022/08/03 11:57:22 - mmengine - INFO - Epoch(train) [13][680/1879] lr: 1.0000e-02 eta: 2 days, 6:41:44 time: 0.4419 data_time: 0.0161 memory: 17087 grad_norm: 4.8021 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2651 loss: 2.2651 2022/08/03 11:57:31 - mmengine - INFO - Epoch(train) [13][700/1879] lr: 1.0000e-02 eta: 2 days, 6:41:33 time: 0.4250 data_time: 0.0176 memory: 17087 grad_norm: 4.7525 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0065 loss: 2.0065 2022/08/03 11:57:39 - mmengine - INFO - Epoch(train) [13][720/1879] lr: 1.0000e-02 eta: 2 days, 6:41:23 time: 0.4258 data_time: 0.0150 memory: 17087 grad_norm: 4.7400 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0435 loss: 2.0435 2022/08/03 11:57:48 - mmengine - INFO - Epoch(train) [13][740/1879] lr: 1.0000e-02 eta: 2 days, 6:41:11 time: 0.4224 data_time: 0.0136 memory: 17087 grad_norm: 4.6618 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0874 loss: 2.0874 2022/08/03 11:57:56 - mmengine - INFO - Epoch(train) [13][760/1879] lr: 1.0000e-02 eta: 2 days, 6:41:01 time: 0.4269 data_time: 0.0164 memory: 17087 grad_norm: 4.8479 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0502 loss: 2.0502 2022/08/03 11:58:05 - mmengine - INFO - Epoch(train) [13][780/1879] lr: 1.0000e-02 eta: 2 days, 6:40:50 time: 0.4236 data_time: 0.0150 memory: 17087 grad_norm: 4.8545 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0322 loss: 2.0322 2022/08/03 11:58:13 - mmengine - INFO - Epoch(train) [13][800/1879] lr: 1.0000e-02 eta: 2 days, 6:40:40 time: 0.4267 data_time: 0.0158 memory: 17087 grad_norm: 4.8237 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0840 loss: 2.0840 2022/08/03 11:58:22 - mmengine - INFO - Epoch(train) [13][820/1879] lr: 1.0000e-02 eta: 2 days, 6:40:36 time: 0.4411 data_time: 0.0148 memory: 17087 grad_norm: 4.6256 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1155 loss: 2.1155 2022/08/03 11:58:31 - mmengine - INFO - Epoch(train) [13][840/1879] lr: 1.0000e-02 eta: 2 days, 6:40:26 time: 0.4273 data_time: 0.0166 memory: 17087 grad_norm: 4.8703 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9370 loss: 1.9370 2022/08/03 11:58:39 - mmengine - INFO - Epoch(train) [13][860/1879] lr: 1.0000e-02 eta: 2 days, 6:40:15 time: 0.4232 data_time: 0.0143 memory: 17087 grad_norm: 4.8281 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1665 loss: 2.1665 2022/08/03 11:58:48 - mmengine - INFO - Epoch(train) [13][880/1879] lr: 1.0000e-02 eta: 2 days, 6:40:04 time: 0.4249 data_time: 0.0152 memory: 17087 grad_norm: 4.7972 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9018 loss: 1.9018 2022/08/03 11:58:56 - mmengine - INFO - Epoch(train) [13][900/1879] lr: 1.0000e-02 eta: 2 days, 6:39:53 time: 0.4240 data_time: 0.0150 memory: 17087 grad_norm: 4.9156 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0649 loss: 2.0649 2022/08/03 11:59:05 - mmengine - INFO - Epoch(train) [13][920/1879] lr: 1.0000e-02 eta: 2 days, 6:39:49 time: 0.4412 data_time: 0.0151 memory: 17087 grad_norm: 4.9422 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1179 loss: 2.1179 2022/08/03 11:59:14 - mmengine - INFO - Epoch(train) [13][940/1879] lr: 1.0000e-02 eta: 2 days, 6:39:40 time: 0.4272 data_time: 0.0187 memory: 17087 grad_norm: 4.8968 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1568 loss: 2.1568 2022/08/03 11:59:22 - mmengine - INFO - Epoch(train) [13][960/1879] lr: 1.0000e-02 eta: 2 days, 6:39:29 time: 0.4247 data_time: 0.0157 memory: 17087 grad_norm: 4.9237 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1771 loss: 2.1771 2022/08/03 11:59:31 - mmengine - INFO - Epoch(train) [13][980/1879] lr: 1.0000e-02 eta: 2 days, 6:39:18 time: 0.4255 data_time: 0.0150 memory: 17087 grad_norm: 4.8608 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1558 loss: 2.1558 2022/08/03 11:59:39 - mmengine - INFO - Epoch(train) [13][1000/1879] lr: 1.0000e-02 eta: 2 days, 6:39:08 time: 0.4256 data_time: 0.0149 memory: 17087 grad_norm: 4.7505 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2116 loss: 2.2116 2022/08/03 11:59:48 - mmengine - INFO - Epoch(train) [13][1020/1879] lr: 1.0000e-02 eta: 2 days, 6:38:58 time: 0.4259 data_time: 0.0148 memory: 17087 grad_norm: 5.0407 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1499 loss: 2.1499 2022/08/03 11:59:56 - mmengine - INFO - Epoch(train) [13][1040/1879] lr: 1.0000e-02 eta: 2 days, 6:38:47 time: 0.4254 data_time: 0.0155 memory: 17087 grad_norm: 4.8111 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9502 loss: 1.9502 2022/08/03 12:00:08 - mmengine - INFO - Epoch(train) [13][1060/1879] lr: 1.0000e-02 eta: 2 days, 6:39:40 time: 0.5884 data_time: 0.0199 memory: 17087 grad_norm: 4.7421 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1255 loss: 2.1255 2022/08/03 12:00:16 - mmengine - INFO - Epoch(train) [13][1080/1879] lr: 1.0000e-02 eta: 2 days, 6:39:30 time: 0.4253 data_time: 0.0162 memory: 17087 grad_norm: 4.7762 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1130 loss: 2.1130 2022/08/03 12:00:25 - mmengine - INFO - Epoch(train) [13][1100/1879] lr: 1.0000e-02 eta: 2 days, 6:39:20 time: 0.4271 data_time: 0.0147 memory: 17087 grad_norm: 4.7931 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2929 loss: 2.2929 2022/08/03 12:00:34 - mmengine - INFO - Epoch(train) [13][1120/1879] lr: 1.0000e-02 eta: 2 days, 6:39:10 time: 0.4273 data_time: 0.0180 memory: 17087 grad_norm: 4.7468 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1508 loss: 2.1508 2022/08/03 12:00:42 - mmengine - INFO - Epoch(train) [13][1140/1879] lr: 1.0000e-02 eta: 2 days, 6:38:58 time: 0.4221 data_time: 0.0125 memory: 17087 grad_norm: 4.8495 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9360 loss: 1.9360 2022/08/03 12:00:51 - mmengine - INFO - Epoch(train) [13][1160/1879] lr: 1.0000e-02 eta: 2 days, 6:38:54 time: 0.4400 data_time: 0.0217 memory: 17087 grad_norm: 4.9789 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1087 loss: 2.1087 2022/08/03 12:00:59 - mmengine - INFO - Epoch(train) [13][1180/1879] lr: 1.0000e-02 eta: 2 days, 6:38:41 time: 0.4207 data_time: 0.0121 memory: 17087 grad_norm: 4.7734 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0087 loss: 2.0087 2022/08/03 12:01:08 - mmengine - INFO - Epoch(train) [13][1200/1879] lr: 1.0000e-02 eta: 2 days, 6:38:34 time: 0.4327 data_time: 0.0200 memory: 17087 grad_norm: 4.8170 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0474 loss: 2.0474 2022/08/03 12:01:16 - mmengine - INFO - Epoch(train) [13][1220/1879] lr: 1.0000e-02 eta: 2 days, 6:38:22 time: 0.4227 data_time: 0.0142 memory: 17087 grad_norm: 4.7385 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2286 loss: 2.2286 2022/08/03 12:01:25 - mmengine - INFO - Epoch(train) [13][1240/1879] lr: 1.0000e-02 eta: 2 days, 6:38:11 time: 0.4244 data_time: 0.0155 memory: 17087 grad_norm: 4.8344 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9702 loss: 1.9702 2022/08/03 12:01:34 - mmengine - INFO - Epoch(train) [13][1260/1879] lr: 1.0000e-02 eta: 2 days, 6:38:07 time: 0.4420 data_time: 0.0137 memory: 17087 grad_norm: 4.9258 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9744 loss: 1.9744 2022/08/03 12:01:42 - mmengine - INFO - Epoch(train) [13][1280/1879] lr: 1.0000e-02 eta: 2 days, 6:37:59 time: 0.4297 data_time: 0.0203 memory: 17087 grad_norm: 4.7825 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9502 loss: 1.9502 2022/08/03 12:01:51 - mmengine - INFO - Epoch(train) [13][1300/1879] lr: 1.0000e-02 eta: 2 days, 6:37:50 time: 0.4309 data_time: 0.0145 memory: 17087 grad_norm: 4.9349 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2728 loss: 2.2728 2022/08/03 12:01:59 - mmengine - INFO - Epoch(train) [13][1320/1879] lr: 1.0000e-02 eta: 2 days, 6:37:39 time: 0.4221 data_time: 0.0140 memory: 17087 grad_norm: 4.8173 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2383 loss: 2.2383 2022/08/03 12:02:08 - mmengine - INFO - Epoch(train) [13][1340/1879] lr: 1.0000e-02 eta: 2 days, 6:37:27 time: 0.4231 data_time: 0.0142 memory: 17087 grad_norm: 4.7755 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2178 loss: 2.2178 2022/08/03 12:02:16 - mmengine - INFO - Epoch(train) [13][1360/1879] lr: 1.0000e-02 eta: 2 days, 6:37:18 time: 0.4297 data_time: 0.0152 memory: 17087 grad_norm: 4.7956 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1493 loss: 2.1493 2022/08/03 12:02:25 - mmengine - INFO - Epoch(train) [13][1380/1879] lr: 1.0000e-02 eta: 2 days, 6:37:08 time: 0.4251 data_time: 0.0139 memory: 17087 grad_norm: 4.9100 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2799 loss: 2.2799 2022/08/03 12:02:34 - mmengine - INFO - Epoch(train) [13][1400/1879] lr: 1.0000e-02 eta: 2 days, 6:37:08 time: 0.4520 data_time: 0.0157 memory: 17087 grad_norm: 4.8473 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1337 loss: 2.1337 2022/08/03 12:02:42 - mmengine - INFO - Epoch(train) [13][1420/1879] lr: 1.0000e-02 eta: 2 days, 6:36:56 time: 0.4231 data_time: 0.0136 memory: 17087 grad_norm: 4.8452 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0968 loss: 2.0968 2022/08/03 12:02:51 - mmengine - INFO - Epoch(train) [13][1440/1879] lr: 1.0000e-02 eta: 2 days, 6:36:55 time: 0.4481 data_time: 0.0240 memory: 17087 grad_norm: 4.9021 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9456 loss: 1.9456 2022/08/03 12:02:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:03:00 - mmengine - INFO - Epoch(train) [13][1460/1879] lr: 1.0000e-02 eta: 2 days, 6:36:45 time: 0.4282 data_time: 0.0128 memory: 17087 grad_norm: 4.8403 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2655 loss: 2.2655 2022/08/03 12:03:08 - mmengine - INFO - Epoch(train) [13][1480/1879] lr: 1.0000e-02 eta: 2 days, 6:36:34 time: 0.4240 data_time: 0.0174 memory: 17087 grad_norm: 4.8734 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2338 loss: 2.2338 2022/08/03 12:03:17 - mmengine - INFO - Epoch(train) [13][1500/1879] lr: 1.0000e-02 eta: 2 days, 6:36:30 time: 0.4415 data_time: 0.0154 memory: 17087 grad_norm: 4.8725 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0772 loss: 2.0772 2022/08/03 12:03:26 - mmengine - INFO - Epoch(train) [13][1520/1879] lr: 1.0000e-02 eta: 2 days, 6:36:28 time: 0.4479 data_time: 0.0201 memory: 17087 grad_norm: 4.8307 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0277 loss: 2.0277 2022/08/03 12:03:35 - mmengine - INFO - Epoch(train) [13][1540/1879] lr: 1.0000e-02 eta: 2 days, 6:36:17 time: 0.4242 data_time: 0.0142 memory: 17087 grad_norm: 4.8194 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8474 loss: 1.8474 2022/08/03 12:03:43 - mmengine - INFO - Epoch(train) [13][1560/1879] lr: 1.0000e-02 eta: 2 days, 6:36:08 time: 0.4295 data_time: 0.0189 memory: 17087 grad_norm: 4.8739 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0926 loss: 2.0926 2022/08/03 12:03:52 - mmengine - INFO - Epoch(train) [13][1580/1879] lr: 1.0000e-02 eta: 2 days, 6:35:59 time: 0.4298 data_time: 0.0131 memory: 17087 grad_norm: 4.8106 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8768 loss: 1.8768 2022/08/03 12:04:00 - mmengine - INFO - Epoch(train) [13][1600/1879] lr: 1.0000e-02 eta: 2 days, 6:35:51 time: 0.4302 data_time: 0.0174 memory: 17087 grad_norm: 4.9766 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9385 loss: 1.9385 2022/08/03 12:04:09 - mmengine - INFO - Epoch(train) [13][1620/1879] lr: 1.0000e-02 eta: 2 days, 6:35:40 time: 0.4239 data_time: 0.0150 memory: 17087 grad_norm: 4.8582 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1466 loss: 2.1466 2022/08/03 12:04:17 - mmengine - INFO - Epoch(train) [13][1640/1879] lr: 1.0000e-02 eta: 2 days, 6:35:30 time: 0.4263 data_time: 0.0160 memory: 17087 grad_norm: 4.6710 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0629 loss: 2.0629 2022/08/03 12:04:26 - mmengine - INFO - Epoch(train) [13][1660/1879] lr: 1.0000e-02 eta: 2 days, 6:35:19 time: 0.4241 data_time: 0.0154 memory: 17087 grad_norm: 4.8899 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1404 loss: 2.1404 2022/08/03 12:04:35 - mmengine - INFO - Epoch(train) [13][1680/1879] lr: 1.0000e-02 eta: 2 days, 6:35:13 time: 0.4366 data_time: 0.0149 memory: 17087 grad_norm: 4.8474 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9906 loss: 1.9906 2022/08/03 12:04:43 - mmengine - INFO - Epoch(train) [13][1700/1879] lr: 1.0000e-02 eta: 2 days, 6:35:05 time: 0.4325 data_time: 0.0192 memory: 17087 grad_norm: 4.6803 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8747 loss: 1.8747 2022/08/03 12:04:52 - mmengine - INFO - Epoch(train) [13][1720/1879] lr: 1.0000e-02 eta: 2 days, 6:34:54 time: 0.4246 data_time: 0.0165 memory: 17087 grad_norm: 4.7118 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0741 loss: 2.0741 2022/08/03 12:05:00 - mmengine - INFO - Epoch(train) [13][1740/1879] lr: 1.0000e-02 eta: 2 days, 6:34:43 time: 0.4243 data_time: 0.0150 memory: 17087 grad_norm: 4.8085 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0978 loss: 2.0978 2022/08/03 12:05:09 - mmengine - INFO - Epoch(train) [13][1760/1879] lr: 1.0000e-02 eta: 2 days, 6:34:33 time: 0.4266 data_time: 0.0198 memory: 17087 grad_norm: 4.7486 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.1596 loss: 2.1596 2022/08/03 12:05:17 - mmengine - INFO - Epoch(train) [13][1780/1879] lr: 1.0000e-02 eta: 2 days, 6:34:23 time: 0.4255 data_time: 0.0165 memory: 17087 grad_norm: 4.9170 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0403 loss: 2.0403 2022/08/03 12:05:26 - mmengine - INFO - Epoch(train) [13][1800/1879] lr: 1.0000e-02 eta: 2 days, 6:34:13 time: 0.4252 data_time: 0.0157 memory: 17087 grad_norm: 4.8334 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4144 loss: 2.4144 2022/08/03 12:05:35 - mmengine - INFO - Epoch(train) [13][1820/1879] lr: 1.0000e-02 eta: 2 days, 6:34:06 time: 0.4363 data_time: 0.0149 memory: 17087 grad_norm: 4.7192 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.0530 loss: 2.0530 2022/08/03 12:05:43 - mmengine - INFO - Epoch(train) [13][1840/1879] lr: 1.0000e-02 eta: 2 days, 6:33:58 time: 0.4319 data_time: 0.0158 memory: 17087 grad_norm: 4.8321 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9607 loss: 1.9607 2022/08/03 12:05:52 - mmengine - INFO - Epoch(train) [13][1860/1879] lr: 1.0000e-02 eta: 2 days, 6:33:56 time: 0.4458 data_time: 0.0226 memory: 17087 grad_norm: 4.8795 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8885 loss: 1.8885 2022/08/03 12:06:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:06:00 - mmengine - INFO - Epoch(train) [13][1879/1879] lr: 1.0000e-02 eta: 2 days, 6:33:56 time: 0.4070 data_time: 0.0145 memory: 17087 grad_norm: 4.8308 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.0240 loss: 2.0240 2022/08/03 12:06:12 - mmengine - INFO - Epoch(train) [14][20/1879] lr: 1.0000e-02 eta: 2 days, 6:32:08 time: 0.5969 data_time: 0.1526 memory: 17087 grad_norm: 4.8123 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0003 loss: 2.0003 2022/08/03 12:06:20 - mmengine - INFO - Epoch(train) [14][40/1879] lr: 1.0000e-02 eta: 2 days, 6:31:58 time: 0.4259 data_time: 0.0163 memory: 17087 grad_norm: 4.7423 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9561 loss: 1.9561 2022/08/03 12:06:29 - mmengine - INFO - Epoch(train) [14][60/1879] lr: 1.0000e-02 eta: 2 days, 6:31:47 time: 0.4224 data_time: 0.0150 memory: 17087 grad_norm: 4.6975 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9091 loss: 1.9091 2022/08/03 12:06:38 - mmengine - INFO - Epoch(train) [14][80/1879] lr: 1.0000e-02 eta: 2 days, 6:31:43 time: 0.4436 data_time: 0.0155 memory: 17087 grad_norm: 4.9609 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0505 loss: 2.0505 2022/08/03 12:06:46 - mmengine - INFO - Epoch(train) [14][100/1879] lr: 1.0000e-02 eta: 2 days, 6:31:33 time: 0.4245 data_time: 0.0134 memory: 17087 grad_norm: 4.7342 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1176 loss: 2.1176 2022/08/03 12:06:55 - mmengine - INFO - Epoch(train) [14][120/1879] lr: 1.0000e-02 eta: 2 days, 6:31:23 time: 0.4268 data_time: 0.0158 memory: 17087 grad_norm: 4.7691 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0045 loss: 2.0045 2022/08/03 12:07:03 - mmengine - INFO - Epoch(train) [14][140/1879] lr: 1.0000e-02 eta: 2 days, 6:31:14 time: 0.4285 data_time: 0.0146 memory: 17087 grad_norm: 4.9554 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9439 loss: 1.9439 2022/08/03 12:07:12 - mmengine - INFO - Epoch(train) [14][160/1879] lr: 1.0000e-02 eta: 2 days, 6:31:04 time: 0.4259 data_time: 0.0172 memory: 17087 grad_norm: 4.9678 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9927 loss: 1.9927 2022/08/03 12:07:20 - mmengine - INFO - Epoch(train) [14][180/1879] lr: 1.0000e-02 eta: 2 days, 6:30:53 time: 0.4233 data_time: 0.0148 memory: 17087 grad_norm: 4.7787 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0141 loss: 2.0141 2022/08/03 12:07:29 - mmengine - INFO - Epoch(train) [14][200/1879] lr: 1.0000e-02 eta: 2 days, 6:30:41 time: 0.4228 data_time: 0.0161 memory: 17087 grad_norm: 4.8372 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0444 loss: 2.0444 2022/08/03 12:07:38 - mmengine - INFO - Epoch(train) [14][220/1879] lr: 1.0000e-02 eta: 2 days, 6:30:36 time: 0.4395 data_time: 0.0134 memory: 17087 grad_norm: 4.8633 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9515 loss: 1.9515 2022/08/03 12:07:46 - mmengine - INFO - Epoch(train) [14][240/1879] lr: 1.0000e-02 eta: 2 days, 6:30:27 time: 0.4292 data_time: 0.0201 memory: 17087 grad_norm: 4.7317 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9478 loss: 1.9478 2022/08/03 12:07:55 - mmengine - INFO - Epoch(train) [14][260/1879] lr: 1.0000e-02 eta: 2 days, 6:30:25 time: 0.4456 data_time: 0.0146 memory: 17087 grad_norm: 4.8221 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1020 loss: 2.1020 2022/08/03 12:08:04 - mmengine - INFO - Epoch(train) [14][280/1879] lr: 1.0000e-02 eta: 2 days, 6:30:13 time: 0.4233 data_time: 0.0151 memory: 17087 grad_norm: 4.8680 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1937 loss: 2.1937 2022/08/03 12:08:12 - mmengine - INFO - Epoch(train) [14][300/1879] lr: 1.0000e-02 eta: 2 days, 6:30:10 time: 0.4444 data_time: 0.0137 memory: 17087 grad_norm: 4.7337 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0829 loss: 2.0829 2022/08/03 12:08:21 - mmengine - INFO - Epoch(train) [14][320/1879] lr: 1.0000e-02 eta: 2 days, 6:30:00 time: 0.4269 data_time: 0.0167 memory: 17087 grad_norm: 4.8976 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0582 loss: 2.0582 2022/08/03 12:08:29 - mmengine - INFO - Epoch(train) [14][340/1879] lr: 1.0000e-02 eta: 2 days, 6:29:49 time: 0.4226 data_time: 0.0118 memory: 17087 grad_norm: 4.8637 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0170 loss: 2.0170 2022/08/03 12:08:38 - mmengine - INFO - Epoch(train) [14][360/1879] lr: 1.0000e-02 eta: 2 days, 6:29:42 time: 0.4331 data_time: 0.0144 memory: 17087 grad_norm: 4.8574 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1818 loss: 2.1818 2022/08/03 12:08:47 - mmengine - INFO - Epoch(train) [14][380/1879] lr: 1.0000e-02 eta: 2 days, 6:29:31 time: 0.4246 data_time: 0.0161 memory: 17087 grad_norm: 4.7915 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9936 loss: 1.9936 2022/08/03 12:08:55 - mmengine - INFO - Epoch(train) [14][400/1879] lr: 1.0000e-02 eta: 2 days, 6:29:20 time: 0.4236 data_time: 0.0158 memory: 17087 grad_norm: 4.7859 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1737 loss: 2.1737 2022/08/03 12:09:04 - mmengine - INFO - Epoch(train) [14][420/1879] lr: 1.0000e-02 eta: 2 days, 6:29:18 time: 0.4472 data_time: 0.0136 memory: 17087 grad_norm: 4.8613 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2756 loss: 2.2756 2022/08/03 12:09:13 - mmengine - INFO - Epoch(train) [14][440/1879] lr: 1.0000e-02 eta: 2 days, 6:29:08 time: 0.4261 data_time: 0.0176 memory: 17087 grad_norm: 4.7140 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8273 loss: 1.8273 2022/08/03 12:09:21 - mmengine - INFO - Epoch(train) [14][460/1879] lr: 1.0000e-02 eta: 2 days, 6:29:00 time: 0.4336 data_time: 0.0148 memory: 17087 grad_norm: 4.9812 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9310 loss: 1.9310 2022/08/03 12:09:30 - mmengine - INFO - Epoch(train) [14][480/1879] lr: 1.0000e-02 eta: 2 days, 6:28:50 time: 0.4245 data_time: 0.0150 memory: 17087 grad_norm: 4.9118 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0577 loss: 2.0577 2022/08/03 12:09:38 - mmengine - INFO - Epoch(train) [14][500/1879] lr: 1.0000e-02 eta: 2 days, 6:28:38 time: 0.4217 data_time: 0.0137 memory: 17087 grad_norm: 4.9084 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.9173 loss: 1.9173 2022/08/03 12:09:47 - mmengine - INFO - Epoch(train) [14][520/1879] lr: 1.0000e-02 eta: 2 days, 6:28:28 time: 0.4248 data_time: 0.0174 memory: 17087 grad_norm: 5.0074 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2195 loss: 2.2195 2022/08/03 12:09:55 - mmengine - INFO - Epoch(train) [14][540/1879] lr: 1.0000e-02 eta: 2 days, 6:28:16 time: 0.4226 data_time: 0.0141 memory: 17087 grad_norm: 4.8518 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7869 loss: 1.7869 2022/08/03 12:10:04 - mmengine - INFO - Epoch(train) [14][560/1879] lr: 1.0000e-02 eta: 2 days, 6:28:09 time: 0.4324 data_time: 0.0190 memory: 17087 grad_norm: 4.8484 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0226 loss: 2.0226 2022/08/03 12:10:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:10:12 - mmengine - INFO - Epoch(train) [14][580/1879] lr: 1.0000e-02 eta: 2 days, 6:27:58 time: 0.4230 data_time: 0.0159 memory: 17087 grad_norm: 4.7046 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9820 loss: 1.9820 2022/08/03 12:10:21 - mmengine - INFO - Epoch(train) [14][600/1879] lr: 1.0000e-02 eta: 2 days, 6:27:54 time: 0.4445 data_time: 0.0175 memory: 17087 grad_norm: 4.7062 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0985 loss: 2.0985 2022/08/03 12:10:30 - mmengine - INFO - Epoch(train) [14][620/1879] lr: 1.0000e-02 eta: 2 days, 6:27:43 time: 0.4236 data_time: 0.0154 memory: 17087 grad_norm: 4.9112 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1157 loss: 2.1157 2022/08/03 12:10:38 - mmengine - INFO - Epoch(train) [14][640/1879] lr: 1.0000e-02 eta: 2 days, 6:27:33 time: 0.4243 data_time: 0.0152 memory: 17087 grad_norm: 4.8261 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1871 loss: 2.1871 2022/08/03 12:10:47 - mmengine - INFO - Epoch(train) [14][660/1879] lr: 1.0000e-02 eta: 2 days, 6:27:23 time: 0.4262 data_time: 0.0138 memory: 17087 grad_norm: 4.7471 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0966 loss: 2.0966 2022/08/03 12:10:55 - mmengine - INFO - Epoch(train) [14][680/1879] lr: 1.0000e-02 eta: 2 days, 6:27:12 time: 0.4247 data_time: 0.0156 memory: 17087 grad_norm: 4.8246 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9720 loss: 1.9720 2022/08/03 12:11:04 - mmengine - INFO - Epoch(train) [14][700/1879] lr: 1.0000e-02 eta: 2 days, 6:27:10 time: 0.4489 data_time: 0.0148 memory: 17087 grad_norm: 4.6720 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2750 loss: 2.2750 2022/08/03 12:11:13 - mmengine - INFO - Epoch(train) [14][720/1879] lr: 1.0000e-02 eta: 2 days, 6:27:00 time: 0.4236 data_time: 0.0184 memory: 17087 grad_norm: 4.8877 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0213 loss: 2.0213 2022/08/03 12:11:21 - mmengine - INFO - Epoch(train) [14][740/1879] lr: 1.0000e-02 eta: 2 days, 6:26:55 time: 0.4409 data_time: 0.0152 memory: 17087 grad_norm: 4.7670 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8721 loss: 1.8721 2022/08/03 12:11:30 - mmengine - INFO - Epoch(train) [14][760/1879] lr: 1.0000e-02 eta: 2 days, 6:26:44 time: 0.4240 data_time: 0.0161 memory: 17087 grad_norm: 4.7183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0245 loss: 2.0245 2022/08/03 12:11:38 - mmengine - INFO - Epoch(train) [14][780/1879] lr: 1.0000e-02 eta: 2 days, 6:26:33 time: 0.4232 data_time: 0.0138 memory: 17087 grad_norm: 4.9137 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1343 loss: 2.1343 2022/08/03 12:11:47 - mmengine - INFO - Epoch(train) [14][800/1879] lr: 1.0000e-02 eta: 2 days, 6:26:29 time: 0.4421 data_time: 0.0158 memory: 17087 grad_norm: 4.8989 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1822 loss: 2.1822 2022/08/03 12:11:56 - mmengine - INFO - Epoch(train) [14][820/1879] lr: 1.0000e-02 eta: 2 days, 6:26:18 time: 0.4239 data_time: 0.0137 memory: 17087 grad_norm: 4.7501 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0171 loss: 2.0171 2022/08/03 12:12:04 - mmengine - INFO - Epoch(train) [14][840/1879] lr: 1.0000e-02 eta: 2 days, 6:26:14 time: 0.4421 data_time: 0.0176 memory: 17087 grad_norm: 4.8437 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.1235 loss: 2.1235 2022/08/03 12:12:13 - mmengine - INFO - Epoch(train) [14][860/1879] lr: 1.0000e-02 eta: 2 days, 6:26:03 time: 0.4240 data_time: 0.0151 memory: 17087 grad_norm: 4.7947 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9282 loss: 1.9282 2022/08/03 12:12:22 - mmengine - INFO - Epoch(train) [14][880/1879] lr: 1.0000e-02 eta: 2 days, 6:25:54 time: 0.4274 data_time: 0.0184 memory: 17087 grad_norm: 4.8026 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0676 loss: 2.0676 2022/08/03 12:12:30 - mmengine - INFO - Epoch(train) [14][900/1879] lr: 1.0000e-02 eta: 2 days, 6:25:43 time: 0.4238 data_time: 0.0162 memory: 17087 grad_norm: 4.9746 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0007 loss: 2.0007 2022/08/03 12:12:38 - mmengine - INFO - Epoch(train) [14][920/1879] lr: 1.0000e-02 eta: 2 days, 6:25:32 time: 0.4232 data_time: 0.0141 memory: 17087 grad_norm: 4.7510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1916 loss: 2.1916 2022/08/03 12:12:47 - mmengine - INFO - Epoch(train) [14][940/1879] lr: 1.0000e-02 eta: 2 days, 6:25:22 time: 0.4259 data_time: 0.0156 memory: 17087 grad_norm: 4.7537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8115 loss: 1.8115 2022/08/03 12:12:56 - mmengine - INFO - Epoch(train) [14][960/1879] lr: 1.0000e-02 eta: 2 days, 6:25:12 time: 0.4265 data_time: 0.0158 memory: 17087 grad_norm: 4.8026 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0454 loss: 2.0454 2022/08/03 12:13:04 - mmengine - INFO - Epoch(train) [14][980/1879] lr: 1.0000e-02 eta: 2 days, 6:25:09 time: 0.4454 data_time: 0.0156 memory: 17087 grad_norm: 4.7630 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.8185 loss: 1.8185 2022/08/03 12:13:13 - mmengine - INFO - Epoch(train) [14][1000/1879] lr: 1.0000e-02 eta: 2 days, 6:24:58 time: 0.4247 data_time: 0.0157 memory: 17087 grad_norm: 4.9008 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1176 loss: 2.1176 2022/08/03 12:13:22 - mmengine - INFO - Epoch(train) [14][1020/1879] lr: 1.0000e-02 eta: 2 days, 6:24:55 time: 0.4443 data_time: 0.0143 memory: 17087 grad_norm: 4.6520 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0853 loss: 2.0853 2022/08/03 12:13:30 - mmengine - INFO - Epoch(train) [14][1040/1879] lr: 1.0000e-02 eta: 2 days, 6:24:44 time: 0.4235 data_time: 0.0146 memory: 17087 grad_norm: 4.8530 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9735 loss: 1.9735 2022/08/03 12:13:39 - mmengine - INFO - Epoch(train) [14][1060/1879] lr: 1.0000e-02 eta: 2 days, 6:24:34 time: 0.4273 data_time: 0.0192 memory: 17087 grad_norm: 4.8784 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8797 loss: 1.8797 2022/08/03 12:13:47 - mmengine - INFO - Epoch(train) [14][1080/1879] lr: 1.0000e-02 eta: 2 days, 6:24:24 time: 0.4255 data_time: 0.0159 memory: 17087 grad_norm: 4.7987 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1544 loss: 2.1544 2022/08/03 12:13:56 - mmengine - INFO - Epoch(train) [14][1100/1879] lr: 1.0000e-02 eta: 2 days, 6:24:13 time: 0.4240 data_time: 0.0151 memory: 17087 grad_norm: 4.8918 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1554 loss: 2.1554 2022/08/03 12:14:05 - mmengine - INFO - Epoch(train) [14][1120/1879] lr: 1.0000e-02 eta: 2 days, 6:24:13 time: 0.4535 data_time: 0.0159 memory: 17087 grad_norm: 4.9084 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0286 loss: 2.0286 2022/08/03 12:14:13 - mmengine - INFO - Epoch(train) [14][1140/1879] lr: 1.0000e-02 eta: 2 days, 6:24:04 time: 0.4282 data_time: 0.0203 memory: 17087 grad_norm: 4.8075 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0045 loss: 2.0045 2022/08/03 12:14:22 - mmengine - INFO - Epoch(train) [14][1160/1879] lr: 1.0000e-02 eta: 2 days, 6:24:02 time: 0.4476 data_time: 0.0156 memory: 17087 grad_norm: 4.6766 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1069 loss: 2.1069 2022/08/03 12:14:31 - mmengine - INFO - Epoch(train) [14][1180/1879] lr: 1.0000e-02 eta: 2 days, 6:23:51 time: 0.4238 data_time: 0.0141 memory: 17087 grad_norm: 4.9221 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0014 loss: 2.0014 2022/08/03 12:14:39 - mmengine - INFO - Epoch(train) [14][1200/1879] lr: 1.0000e-02 eta: 2 days, 6:23:42 time: 0.4294 data_time: 0.0189 memory: 17087 grad_norm: 4.5598 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0426 loss: 2.0426 2022/08/03 12:14:48 - mmengine - INFO - Epoch(train) [14][1220/1879] lr: 1.0000e-02 eta: 2 days, 6:23:38 time: 0.4426 data_time: 0.0151 memory: 17087 grad_norm: 4.6893 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9850 loss: 1.9850 2022/08/03 12:14:57 - mmengine - INFO - Epoch(train) [14][1240/1879] lr: 1.0000e-02 eta: 2 days, 6:23:29 time: 0.4289 data_time: 0.0207 memory: 17087 grad_norm: 4.7893 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.2394 loss: 2.2394 2022/08/03 12:15:06 - mmengine - INFO - Epoch(train) [14][1260/1879] lr: 1.0000e-02 eta: 2 days, 6:23:26 time: 0.4456 data_time: 0.0170 memory: 17087 grad_norm: 4.9353 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1934 loss: 2.1934 2022/08/03 12:15:14 - mmengine - INFO - Epoch(train) [14][1280/1879] lr: 1.0000e-02 eta: 2 days, 6:23:14 time: 0.4225 data_time: 0.0152 memory: 17087 grad_norm: 4.6706 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0742 loss: 2.0742 2022/08/03 12:15:23 - mmengine - INFO - Epoch(train) [14][1300/1879] lr: 1.0000e-02 eta: 2 days, 6:23:05 time: 0.4266 data_time: 0.0178 memory: 17087 grad_norm: 4.7543 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9601 loss: 1.9601 2022/08/03 12:15:31 - mmengine - INFO - Epoch(train) [14][1320/1879] lr: 1.0000e-02 eta: 2 days, 6:22:54 time: 0.4240 data_time: 0.0151 memory: 17087 grad_norm: 4.7863 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0484 loss: 2.0484 2022/08/03 12:15:40 - mmengine - INFO - Epoch(train) [14][1340/1879] lr: 1.0000e-02 eta: 2 days, 6:22:44 time: 0.4253 data_time: 0.0151 memory: 17087 grad_norm: 4.8545 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9570 loss: 1.9570 2022/08/03 12:15:48 - mmengine - INFO - Epoch(train) [14][1360/1879] lr: 1.0000e-02 eta: 2 days, 6:22:34 time: 0.4273 data_time: 0.0163 memory: 17087 grad_norm: 4.7113 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9401 loss: 1.9401 2022/08/03 12:15:57 - mmengine - INFO - Epoch(train) [14][1380/1879] lr: 1.0000e-02 eta: 2 days, 6:22:23 time: 0.4229 data_time: 0.0142 memory: 17087 grad_norm: 4.8399 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0280 loss: 2.0280 2022/08/03 12:16:06 - mmengine - INFO - Epoch(train) [14][1400/1879] lr: 1.0000e-02 eta: 2 days, 6:22:22 time: 0.4509 data_time: 0.0171 memory: 17087 grad_norm: 4.7392 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0160 loss: 2.0160 2022/08/03 12:16:14 - mmengine - INFO - Epoch(train) [14][1420/1879] lr: 1.0000e-02 eta: 2 days, 6:22:10 time: 0.4215 data_time: 0.0140 memory: 17087 grad_norm: 4.7820 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9586 loss: 1.9586 2022/08/03 12:16:23 - mmengine - INFO - Epoch(train) [14][1440/1879] lr: 1.0000e-02 eta: 2 days, 6:22:03 time: 0.4339 data_time: 0.0209 memory: 17087 grad_norm: 4.7763 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9389 loss: 1.9389 2022/08/03 12:16:31 - mmengine - INFO - Epoch(train) [14][1460/1879] lr: 1.0000e-02 eta: 2 days, 6:21:52 time: 0.4229 data_time: 0.0138 memory: 17087 grad_norm: 4.8359 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1290 loss: 2.1290 2022/08/03 12:16:40 - mmengine - INFO - Epoch(train) [14][1480/1879] lr: 1.0000e-02 eta: 2 days, 6:21:41 time: 0.4239 data_time: 0.0150 memory: 17087 grad_norm: 4.8117 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1287 loss: 2.1287 2022/08/03 12:16:49 - mmengine - INFO - Epoch(train) [14][1500/1879] lr: 1.0000e-02 eta: 2 days, 6:21:41 time: 0.4533 data_time: 0.0146 memory: 17087 grad_norm: 4.8961 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3528 loss: 2.3528 2022/08/03 12:16:57 - mmengine - INFO - Epoch(train) [14][1520/1879] lr: 1.0000e-02 eta: 2 days, 6:21:29 time: 0.4228 data_time: 0.0158 memory: 17087 grad_norm: 4.8924 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0353 loss: 2.0353 2022/08/03 12:17:06 - mmengine - INFO - Epoch(train) [14][1540/1879] lr: 1.0000e-02 eta: 2 days, 6:21:20 time: 0.4266 data_time: 0.0152 memory: 17087 grad_norm: 4.9291 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.9366 loss: 1.9366 2022/08/03 12:17:14 - mmengine - INFO - Epoch(train) [14][1560/1879] lr: 1.0000e-02 eta: 2 days, 6:21:09 time: 0.4245 data_time: 0.0147 memory: 17087 grad_norm: 4.8788 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9477 loss: 1.9477 2022/08/03 12:17:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:17:23 - mmengine - INFO - Epoch(train) [14][1580/1879] lr: 1.0000e-02 eta: 2 days, 6:21:00 time: 0.4272 data_time: 0.0165 memory: 17087 grad_norm: 4.8487 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0980 loss: 2.0980 2022/08/03 12:17:31 - mmengine - INFO - Epoch(train) [14][1600/1879] lr: 1.0000e-02 eta: 2 days, 6:20:49 time: 0.4251 data_time: 0.0169 memory: 17087 grad_norm: 4.8204 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.0876 loss: 2.0876 2022/08/03 12:17:40 - mmengine - INFO - Epoch(train) [14][1620/1879] lr: 1.0000e-02 eta: 2 days, 6:20:38 time: 0.4227 data_time: 0.0156 memory: 17087 grad_norm: 4.8527 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1116 loss: 2.1116 2022/08/03 12:17:49 - mmengine - INFO - Epoch(train) [14][1640/1879] lr: 1.0000e-02 eta: 2 days, 6:20:35 time: 0.4450 data_time: 0.0150 memory: 17087 grad_norm: 4.9163 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9525 loss: 1.9525 2022/08/03 12:17:57 - mmengine - INFO - Epoch(train) [14][1660/1879] lr: 1.0000e-02 eta: 2 days, 6:20:24 time: 0.4231 data_time: 0.0141 memory: 17087 grad_norm: 4.8128 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1805 loss: 2.1805 2022/08/03 12:18:06 - mmengine - INFO - Epoch(train) [14][1680/1879] lr: 1.0000e-02 eta: 2 days, 6:20:13 time: 0.4249 data_time: 0.0175 memory: 17087 grad_norm: 4.7764 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0306 loss: 2.0306 2022/08/03 12:18:14 - mmengine - INFO - Epoch(train) [14][1700/1879] lr: 1.0000e-02 eta: 2 days, 6:20:02 time: 0.4211 data_time: 0.0132 memory: 17087 grad_norm: 4.7988 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.4722 loss: 2.4722 2022/08/03 12:18:23 - mmengine - INFO - Epoch(train) [14][1720/1879] lr: 1.0000e-02 eta: 2 days, 6:19:55 time: 0.4365 data_time: 0.0149 memory: 17087 grad_norm: 4.7317 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1719 loss: 2.1719 2022/08/03 12:18:31 - mmengine - INFO - Epoch(train) [14][1740/1879] lr: 1.0000e-02 eta: 2 days, 6:19:45 time: 0.4235 data_time: 0.0145 memory: 17087 grad_norm: 4.6967 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2020 loss: 2.2020 2022/08/03 12:18:40 - mmengine - INFO - Epoch(train) [14][1760/1879] lr: 1.0000e-02 eta: 2 days, 6:19:34 time: 0.4244 data_time: 0.0153 memory: 17087 grad_norm: 4.8577 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0533 loss: 2.0533 2022/08/03 12:18:48 - mmengine - INFO - Epoch(train) [14][1780/1879] lr: 1.0000e-02 eta: 2 days, 6:19:23 time: 0.4244 data_time: 0.0159 memory: 17087 grad_norm: 4.5874 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8862 loss: 1.8862 2022/08/03 12:18:57 - mmengine - INFO - Epoch(train) [14][1800/1879] lr: 1.0000e-02 eta: 2 days, 6:19:13 time: 0.4248 data_time: 0.0176 memory: 17087 grad_norm: 4.7434 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2595 loss: 2.2595 2022/08/03 12:19:06 - mmengine - INFO - Epoch(train) [14][1820/1879] lr: 1.0000e-02 eta: 2 days, 6:19:08 time: 0.4408 data_time: 0.0136 memory: 17087 grad_norm: 4.8155 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2847 loss: 2.2847 2022/08/03 12:19:14 - mmengine - INFO - Epoch(train) [14][1840/1879] lr: 1.0000e-02 eta: 2 days, 6:18:57 time: 0.4234 data_time: 0.0153 memory: 17087 grad_norm: 4.8074 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1020 loss: 2.1020 2022/08/03 12:19:23 - mmengine - INFO - Epoch(train) [14][1860/1879] lr: 1.0000e-02 eta: 2 days, 6:18:52 time: 0.4400 data_time: 0.0172 memory: 17087 grad_norm: 4.9145 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9977 loss: 1.9977 2022/08/03 12:19:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:19:31 - mmengine - INFO - Epoch(train) [14][1879/1879] lr: 1.0000e-02 eta: 2 days, 6:18:52 time: 0.4052 data_time: 0.0144 memory: 17087 grad_norm: 5.0244 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.2257 loss: 2.2257 2022/08/03 12:19:42 - mmengine - INFO - Epoch(train) [15][20/1879] lr: 1.0000e-02 eta: 2 days, 6:16:57 time: 0.5543 data_time: 0.1318 memory: 17087 grad_norm: 4.7043 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9541 loss: 1.9541 2022/08/03 12:19:50 - mmengine - INFO - Epoch(train) [15][40/1879] lr: 1.0000e-02 eta: 2 days, 6:16:47 time: 0.4236 data_time: 0.0155 memory: 17087 grad_norm: 4.7899 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1030 loss: 2.1030 2022/08/03 12:19:59 - mmengine - INFO - Epoch(train) [15][60/1879] lr: 1.0000e-02 eta: 2 days, 6:16:35 time: 0.4208 data_time: 0.0143 memory: 17087 grad_norm: 4.7652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1052 loss: 2.1052 2022/08/03 12:20:07 - mmengine - INFO - Epoch(train) [15][80/1879] lr: 1.0000e-02 eta: 2 days, 6:16:26 time: 0.4301 data_time: 0.0171 memory: 17087 grad_norm: 4.7954 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8349 loss: 1.8349 2022/08/03 12:20:16 - mmengine - INFO - Epoch(train) [15][100/1879] lr: 1.0000e-02 eta: 2 days, 6:16:16 time: 0.4240 data_time: 0.0129 memory: 17087 grad_norm: 4.8009 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0480 loss: 2.0480 2022/08/03 12:20:24 - mmengine - INFO - Epoch(train) [15][120/1879] lr: 1.0000e-02 eta: 2 days, 6:16:06 time: 0.4265 data_time: 0.0189 memory: 17087 grad_norm: 4.8869 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9890 loss: 1.9890 2022/08/03 12:20:33 - mmengine - INFO - Epoch(train) [15][140/1879] lr: 1.0000e-02 eta: 2 days, 6:15:55 time: 0.4234 data_time: 0.0146 memory: 17087 grad_norm: 4.8206 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1219 loss: 2.1219 2022/08/03 12:20:41 - mmengine - INFO - Epoch(train) [15][160/1879] lr: 1.0000e-02 eta: 2 days, 6:15:47 time: 0.4298 data_time: 0.0174 memory: 17087 grad_norm: 4.7609 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1784 loss: 2.1784 2022/08/03 12:20:50 - mmengine - INFO - Epoch(train) [15][180/1879] lr: 1.0000e-02 eta: 2 days, 6:15:38 time: 0.4297 data_time: 0.0152 memory: 17087 grad_norm: 4.7582 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9247 loss: 1.9247 2022/08/03 12:20:58 - mmengine - INFO - Epoch(train) [15][200/1879] lr: 1.0000e-02 eta: 2 days, 6:15:27 time: 0.4238 data_time: 0.0146 memory: 17087 grad_norm: 4.7321 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0945 loss: 2.0945 2022/08/03 12:21:07 - mmengine - INFO - Epoch(train) [15][220/1879] lr: 1.0000e-02 eta: 2 days, 6:15:19 time: 0.4296 data_time: 0.0163 memory: 17087 grad_norm: 4.7994 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0483 loss: 2.0483 2022/08/03 12:21:16 - mmengine - INFO - Epoch(train) [15][240/1879] lr: 1.0000e-02 eta: 2 days, 6:15:08 time: 0.4239 data_time: 0.0149 memory: 17087 grad_norm: 4.6278 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1034 loss: 2.1034 2022/08/03 12:21:24 - mmengine - INFO - Epoch(train) [15][260/1879] lr: 1.0000e-02 eta: 2 days, 6:14:58 time: 0.4250 data_time: 0.0146 memory: 17087 grad_norm: 4.6538 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9997 loss: 1.9997 2022/08/03 12:21:33 - mmengine - INFO - Epoch(train) [15][280/1879] lr: 1.0000e-02 eta: 2 days, 6:14:47 time: 0.4240 data_time: 0.0150 memory: 17087 grad_norm: 4.7562 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0118 loss: 2.0118 2022/08/03 12:21:41 - mmengine - INFO - Epoch(train) [15][300/1879] lr: 1.0000e-02 eta: 2 days, 6:14:37 time: 0.4256 data_time: 0.0158 memory: 17087 grad_norm: 4.7966 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9672 loss: 1.9672 2022/08/03 12:21:50 - mmengine - INFO - Epoch(train) [15][320/1879] lr: 1.0000e-02 eta: 2 days, 6:14:27 time: 0.4254 data_time: 0.0179 memory: 17087 grad_norm: 4.7700 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9888 loss: 1.9888 2022/08/03 12:21:58 - mmengine - INFO - Epoch(train) [15][340/1879] lr: 1.0000e-02 eta: 2 days, 6:14:16 time: 0.4215 data_time: 0.0131 memory: 17087 grad_norm: 4.7916 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9336 loss: 1.9336 2022/08/03 12:22:07 - mmengine - INFO - Epoch(train) [15][360/1879] lr: 1.0000e-02 eta: 2 days, 6:14:09 time: 0.4334 data_time: 0.0160 memory: 17087 grad_norm: 4.8013 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9831 loss: 1.9831 2022/08/03 12:22:15 - mmengine - INFO - Epoch(train) [15][380/1879] lr: 1.0000e-02 eta: 2 days, 6:13:58 time: 0.4247 data_time: 0.0135 memory: 17087 grad_norm: 4.7668 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9963 loss: 1.9963 2022/08/03 12:22:24 - mmengine - INFO - Epoch(train) [15][400/1879] lr: 1.0000e-02 eta: 2 days, 6:13:51 time: 0.4338 data_time: 0.0167 memory: 17087 grad_norm: 4.8965 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0388 loss: 2.0388 2022/08/03 12:22:32 - mmengine - INFO - Epoch(train) [15][420/1879] lr: 1.0000e-02 eta: 2 days, 6:13:41 time: 0.4247 data_time: 0.0141 memory: 17087 grad_norm: 4.6240 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9812 loss: 1.9812 2022/08/03 12:22:41 - mmengine - INFO - Epoch(train) [15][440/1879] lr: 1.0000e-02 eta: 2 days, 6:13:31 time: 0.4248 data_time: 0.0151 memory: 17087 grad_norm: 4.6639 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9807 loss: 1.9807 2022/08/03 12:22:50 - mmengine - INFO - Epoch(train) [15][460/1879] lr: 1.0000e-02 eta: 2 days, 6:13:26 time: 0.4417 data_time: 0.0144 memory: 17087 grad_norm: 4.8747 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1045 loss: 2.1045 2022/08/03 12:22:58 - mmengine - INFO - Epoch(train) [15][480/1879] lr: 1.0000e-02 eta: 2 days, 6:13:15 time: 0.4237 data_time: 0.0147 memory: 17087 grad_norm: 4.7129 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.1887 loss: 2.1887 2022/08/03 12:23:07 - mmengine - INFO - Epoch(train) [15][500/1879] lr: 1.0000e-02 eta: 2 days, 6:13:11 time: 0.4430 data_time: 0.0138 memory: 17087 grad_norm: 4.6505 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8758 loss: 1.8758 2022/08/03 12:23:16 - mmengine - INFO - Epoch(train) [15][520/1879] lr: 1.0000e-02 eta: 2 days, 6:13:01 time: 0.4256 data_time: 0.0147 memory: 17087 grad_norm: 4.7990 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0904 loss: 2.0904 2022/08/03 12:23:24 - mmengine - INFO - Epoch(train) [15][540/1879] lr: 1.0000e-02 eta: 2 days, 6:12:52 time: 0.4263 data_time: 0.0156 memory: 17087 grad_norm: 4.7639 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9530 loss: 1.9530 2022/08/03 12:23:33 - mmengine - INFO - Epoch(train) [15][560/1879] lr: 1.0000e-02 eta: 2 days, 6:12:41 time: 0.4242 data_time: 0.0150 memory: 17087 grad_norm: 4.7930 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9463 loss: 1.9463 2022/08/03 12:23:41 - mmengine - INFO - Epoch(train) [15][580/1879] lr: 1.0000e-02 eta: 2 days, 6:12:30 time: 0.4233 data_time: 0.0161 memory: 17087 grad_norm: 4.7355 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9709 loss: 1.9709 2022/08/03 12:23:50 - mmengine - INFO - Epoch(train) [15][600/1879] lr: 1.0000e-02 eta: 2 days, 6:12:20 time: 0.4251 data_time: 0.0175 memory: 17087 grad_norm: 4.8378 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0572 loss: 2.0572 2022/08/03 12:23:58 - mmengine - INFO - Epoch(train) [15][620/1879] lr: 1.0000e-02 eta: 2 days, 6:12:10 time: 0.4239 data_time: 0.0141 memory: 17087 grad_norm: 4.7942 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1051 loss: 2.1051 2022/08/03 12:24:07 - mmengine - INFO - Epoch(train) [15][640/1879] lr: 1.0000e-02 eta: 2 days, 6:12:02 time: 0.4338 data_time: 0.0162 memory: 17087 grad_norm: 4.8099 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7183 loss: 1.7183 2022/08/03 12:24:15 - mmengine - INFO - Epoch(train) [15][660/1879] lr: 1.0000e-02 eta: 2 days, 6:11:52 time: 0.4250 data_time: 0.0143 memory: 17087 grad_norm: 4.5966 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8539 loss: 1.8539 2022/08/03 12:24:24 - mmengine - INFO - Epoch(train) [15][680/1879] lr: 1.0000e-02 eta: 2 days, 6:11:42 time: 0.4261 data_time: 0.0166 memory: 17087 grad_norm: 4.7611 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0341 loss: 2.0341 2022/08/03 12:24:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:24:32 - mmengine - INFO - Epoch(train) [15][700/1879] lr: 1.0000e-02 eta: 2 days, 6:11:31 time: 0.4227 data_time: 0.0132 memory: 17087 grad_norm: 4.7793 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1530 loss: 2.1530 2022/08/03 12:24:41 - mmengine - INFO - Epoch(train) [15][720/1879] lr: 1.0000e-02 eta: 2 days, 6:11:21 time: 0.4231 data_time: 0.0145 memory: 17087 grad_norm: 4.9607 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0580 loss: 2.0580 2022/08/03 12:24:49 - mmengine - INFO - Epoch(train) [15][740/1879] lr: 1.0000e-02 eta: 2 days, 6:11:11 time: 0.4282 data_time: 0.0155 memory: 17087 grad_norm: 4.8728 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0798 loss: 2.0798 2022/08/03 12:24:58 - mmengine - INFO - Epoch(train) [15][760/1879] lr: 1.0000e-02 eta: 2 days, 6:11:01 time: 0.4237 data_time: 0.0159 memory: 17087 grad_norm: 4.9024 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2104 loss: 2.2104 2022/08/03 12:25:06 - mmengine - INFO - Epoch(train) [15][780/1879] lr: 1.0000e-02 eta: 2 days, 6:10:51 time: 0.4245 data_time: 0.0149 memory: 17087 grad_norm: 4.6433 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7768 loss: 1.7768 2022/08/03 12:25:15 - mmengine - INFO - Epoch(train) [15][800/1879] lr: 1.0000e-02 eta: 2 days, 6:10:40 time: 0.4249 data_time: 0.0162 memory: 17087 grad_norm: 4.7653 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0125 loss: 2.0125 2022/08/03 12:25:23 - mmengine - INFO - Epoch(train) [15][820/1879] lr: 1.0000e-02 eta: 2 days, 6:10:30 time: 0.4239 data_time: 0.0151 memory: 17087 grad_norm: 4.8955 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9726 loss: 1.9726 2022/08/03 12:25:32 - mmengine - INFO - Epoch(train) [15][840/1879] lr: 1.0000e-02 eta: 2 days, 6:10:19 time: 0.4245 data_time: 0.0144 memory: 17087 grad_norm: 4.8473 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 2.0830 loss: 2.0830 2022/08/03 12:25:40 - mmengine - INFO - Epoch(train) [15][860/1879] lr: 1.0000e-02 eta: 2 days, 6:10:09 time: 0.4228 data_time: 0.0147 memory: 17087 grad_norm: 4.8255 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.0145 loss: 2.0145 2022/08/03 12:25:49 - mmengine - INFO - Epoch(train) [15][880/1879] lr: 1.0000e-02 eta: 2 days, 6:10:04 time: 0.4422 data_time: 0.0163 memory: 17087 grad_norm: 4.7983 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9414 loss: 1.9414 2022/08/03 12:25:57 - mmengine - INFO - Epoch(train) [15][900/1879] lr: 1.0000e-02 eta: 2 days, 6:09:53 time: 0.4217 data_time: 0.0125 memory: 17087 grad_norm: 4.8015 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9156 loss: 1.9156 2022/08/03 12:26:06 - mmengine - INFO - Epoch(train) [15][920/1879] lr: 1.0000e-02 eta: 2 days, 6:09:46 time: 0.4335 data_time: 0.0173 memory: 17087 grad_norm: 4.7898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0188 loss: 2.0188 2022/08/03 12:26:14 - mmengine - INFO - Epoch(train) [15][940/1879] lr: 1.0000e-02 eta: 2 days, 6:09:35 time: 0.4237 data_time: 0.0133 memory: 17087 grad_norm: 4.8010 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9551 loss: 1.9551 2022/08/03 12:26:23 - mmengine - INFO - Epoch(train) [15][960/1879] lr: 1.0000e-02 eta: 2 days, 6:09:25 time: 0.4243 data_time: 0.0160 memory: 17087 grad_norm: 4.6754 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0221 loss: 2.0221 2022/08/03 12:26:31 - mmengine - INFO - Epoch(train) [15][980/1879] lr: 1.0000e-02 eta: 2 days, 6:09:14 time: 0.4228 data_time: 0.0138 memory: 17087 grad_norm: 4.7874 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0488 loss: 2.0488 2022/08/03 12:26:40 - mmengine - INFO - Epoch(train) [15][1000/1879] lr: 1.0000e-02 eta: 2 days, 6:09:03 time: 0.4242 data_time: 0.0152 memory: 17087 grad_norm: 4.7832 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1235 loss: 2.1235 2022/08/03 12:26:49 - mmengine - INFO - Epoch(train) [15][1020/1879] lr: 1.0000e-02 eta: 2 days, 6:09:00 time: 0.4458 data_time: 0.0146 memory: 17087 grad_norm: 4.7833 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9377 loss: 1.9377 2022/08/03 12:26:57 - mmengine - INFO - Epoch(train) [15][1040/1879] lr: 1.0000e-02 eta: 2 days, 6:08:50 time: 0.4241 data_time: 0.0156 memory: 17087 grad_norm: 4.7059 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9211 loss: 1.9211 2022/08/03 12:27:06 - mmengine - INFO - Epoch(train) [15][1060/1879] lr: 1.0000e-02 eta: 2 days, 6:08:39 time: 0.4245 data_time: 0.0157 memory: 17087 grad_norm: 4.7011 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9819 loss: 1.9819 2022/08/03 12:27:14 - mmengine - INFO - Epoch(train) [15][1080/1879] lr: 1.0000e-02 eta: 2 days, 6:08:29 time: 0.4238 data_time: 0.0159 memory: 17087 grad_norm: 4.8631 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9943 loss: 1.9943 2022/08/03 12:27:24 - mmengine - INFO - Epoch(train) [15][1100/1879] lr: 1.0000e-02 eta: 2 days, 6:08:46 time: 0.5088 data_time: 0.0142 memory: 17087 grad_norm: 4.7960 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0295 loss: 2.0295 2022/08/03 12:27:33 - mmengine - INFO - Epoch(train) [15][1120/1879] lr: 1.0000e-02 eta: 2 days, 6:08:36 time: 0.4236 data_time: 0.0183 memory: 17087 grad_norm: 4.7060 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1875 loss: 2.1875 2022/08/03 12:27:41 - mmengine - INFO - Epoch(train) [15][1140/1879] lr: 1.0000e-02 eta: 2 days, 6:08:25 time: 0.4225 data_time: 0.0139 memory: 17087 grad_norm: 4.6966 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9411 loss: 1.9411 2022/08/03 12:27:50 - mmengine - INFO - Epoch(train) [15][1160/1879] lr: 1.0000e-02 eta: 2 days, 6:08:18 time: 0.4338 data_time: 0.0182 memory: 17087 grad_norm: 4.8731 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2725 loss: 2.2725 2022/08/03 12:27:59 - mmengine - INFO - Epoch(train) [15][1180/1879] lr: 1.0000e-02 eta: 2 days, 6:08:07 time: 0.4245 data_time: 0.0127 memory: 17087 grad_norm: 4.7777 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0094 loss: 2.0094 2022/08/03 12:28:07 - mmengine - INFO - Epoch(train) [15][1200/1879] lr: 1.0000e-02 eta: 2 days, 6:08:00 time: 0.4329 data_time: 0.0153 memory: 17087 grad_norm: 4.7420 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9005 loss: 1.9005 2022/08/03 12:28:16 - mmengine - INFO - Epoch(train) [15][1220/1879] lr: 1.0000e-02 eta: 2 days, 6:07:48 time: 0.4216 data_time: 0.0138 memory: 17087 grad_norm: 4.6903 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0228 loss: 2.0228 2022/08/03 12:28:24 - mmengine - INFO - Epoch(train) [15][1240/1879] lr: 1.0000e-02 eta: 2 days, 6:07:43 time: 0.4393 data_time: 0.0182 memory: 17087 grad_norm: 4.8824 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9361 loss: 1.9361 2022/08/03 12:28:33 - mmengine - INFO - Epoch(train) [15][1260/1879] lr: 1.0000e-02 eta: 2 days, 6:07:33 time: 0.4262 data_time: 0.0134 memory: 17087 grad_norm: 4.6672 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8622 loss: 1.8622 2022/08/03 12:28:42 - mmengine - INFO - Epoch(train) [15][1280/1879] lr: 1.0000e-02 eta: 2 days, 6:07:23 time: 0.4261 data_time: 0.0169 memory: 17087 grad_norm: 4.7306 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7824 loss: 1.7824 2022/08/03 12:28:50 - mmengine - INFO - Epoch(train) [15][1300/1879] lr: 1.0000e-02 eta: 2 days, 6:07:14 time: 0.4274 data_time: 0.0138 memory: 17087 grad_norm: 4.8267 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9389 loss: 1.9389 2022/08/03 12:28:59 - mmengine - INFO - Epoch(train) [15][1320/1879] lr: 1.0000e-02 eta: 2 days, 6:07:04 time: 0.4248 data_time: 0.0150 memory: 17087 grad_norm: 4.7797 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9097 loss: 1.9097 2022/08/03 12:29:07 - mmengine - INFO - Epoch(train) [15][1340/1879] lr: 1.0000e-02 eta: 2 days, 6:06:54 time: 0.4271 data_time: 0.0131 memory: 17087 grad_norm: 4.7503 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0940 loss: 2.0940 2022/08/03 12:29:16 - mmengine - INFO - Epoch(train) [15][1360/1879] lr: 1.0000e-02 eta: 2 days, 6:06:44 time: 0.4246 data_time: 0.0160 memory: 17087 grad_norm: 4.7847 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2178 loss: 2.2178 2022/08/03 12:29:24 - mmengine - INFO - Epoch(train) [15][1380/1879] lr: 1.0000e-02 eta: 2 days, 6:06:39 time: 0.4411 data_time: 0.0150 memory: 17087 grad_norm: 4.8767 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9538 loss: 1.9538 2022/08/03 12:29:33 - mmengine - INFO - Epoch(train) [15][1400/1879] lr: 1.0000e-02 eta: 2 days, 6:06:28 time: 0.4224 data_time: 0.0143 memory: 17087 grad_norm: 4.7057 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1061 loss: 2.1061 2022/08/03 12:29:41 - mmengine - INFO - Epoch(train) [15][1420/1879] lr: 1.0000e-02 eta: 2 days, 6:06:18 time: 0.4242 data_time: 0.0152 memory: 17087 grad_norm: 4.7717 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9730 loss: 1.9730 2022/08/03 12:29:50 - mmengine - INFO - Epoch(train) [15][1440/1879] lr: 1.0000e-02 eta: 2 days, 6:06:10 time: 0.4304 data_time: 0.0155 memory: 17087 grad_norm: 4.8088 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1203 loss: 2.1203 2022/08/03 12:29:58 - mmengine - INFO - Epoch(train) [15][1460/1879] lr: 1.0000e-02 eta: 2 days, 6:06:00 time: 0.4253 data_time: 0.0142 memory: 17087 grad_norm: 4.7355 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0302 loss: 2.0302 2022/08/03 12:30:07 - mmengine - INFO - Epoch(train) [15][1480/1879] lr: 1.0000e-02 eta: 2 days, 6:05:55 time: 0.4425 data_time: 0.0149 memory: 17087 grad_norm: 4.7883 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.3203 loss: 2.3203 2022/08/03 12:30:16 - mmengine - INFO - Epoch(train) [15][1500/1879] lr: 1.0000e-02 eta: 2 days, 6:05:45 time: 0.4249 data_time: 0.0156 memory: 17087 grad_norm: 4.8554 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0015 loss: 2.0015 2022/08/03 12:30:24 - mmengine - INFO - Epoch(train) [15][1520/1879] lr: 1.0000e-02 eta: 2 days, 6:05:36 time: 0.4285 data_time: 0.0162 memory: 17087 grad_norm: 4.6183 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9013 loss: 1.9013 2022/08/03 12:30:33 - mmengine - INFO - Epoch(train) [15][1540/1879] lr: 1.0000e-02 eta: 2 days, 6:05:25 time: 0.4234 data_time: 0.0131 memory: 17087 grad_norm: 4.8434 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0300 loss: 2.0300 2022/08/03 12:30:41 - mmengine - INFO - Epoch(train) [15][1560/1879] lr: 1.0000e-02 eta: 2 days, 6:05:15 time: 0.4252 data_time: 0.0150 memory: 17087 grad_norm: 4.8444 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8679 loss: 1.8679 2022/08/03 12:30:50 - mmengine - INFO - Epoch(train) [15][1580/1879] lr: 1.0000e-02 eta: 2 days, 6:05:04 time: 0.4209 data_time: 0.0123 memory: 17087 grad_norm: 4.8900 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1078 loss: 2.1078 2022/08/03 12:30:59 - mmengine - INFO - Epoch(train) [15][1600/1879] lr: 1.0000e-02 eta: 2 days, 6:04:59 time: 0.4411 data_time: 0.0154 memory: 17087 grad_norm: 4.7776 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1454 loss: 2.1454 2022/08/03 12:31:07 - mmengine - INFO - Epoch(train) [15][1620/1879] lr: 1.0000e-02 eta: 2 days, 6:04:49 time: 0.4251 data_time: 0.0145 memory: 17087 grad_norm: 4.6983 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9202 loss: 1.9202 2022/08/03 12:31:16 - mmengine - INFO - Epoch(train) [15][1640/1879] lr: 1.0000e-02 eta: 2 days, 6:04:40 time: 0.4283 data_time: 0.0165 memory: 17087 grad_norm: 4.7022 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9697 loss: 1.9697 2022/08/03 12:31:24 - mmengine - INFO - Epoch(train) [15][1660/1879] lr: 1.0000e-02 eta: 2 days, 6:04:30 time: 0.4264 data_time: 0.0151 memory: 17087 grad_norm: 4.6860 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9250 loss: 1.9250 2022/08/03 12:31:33 - mmengine - INFO - Epoch(train) [15][1680/1879] lr: 1.0000e-02 eta: 2 days, 6:04:21 time: 0.4267 data_time: 0.0154 memory: 17087 grad_norm: 4.8055 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8987 loss: 1.8987 2022/08/03 12:31:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:31:41 - mmengine - INFO - Epoch(train) [15][1700/1879] lr: 1.0000e-02 eta: 2 days, 6:04:10 time: 0.4223 data_time: 0.0124 memory: 17087 grad_norm: 4.7763 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9648 loss: 1.9648 2022/08/03 12:31:50 - mmengine - INFO - Epoch(train) [15][1720/1879] lr: 1.0000e-02 eta: 2 days, 6:04:00 time: 0.4259 data_time: 0.0151 memory: 17087 grad_norm: 4.7529 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7712 loss: 1.7712 2022/08/03 12:31:59 - mmengine - INFO - Epoch(train) [15][1740/1879] lr: 1.0000e-02 eta: 2 days, 6:04:04 time: 0.4691 data_time: 0.0150 memory: 17087 grad_norm: 4.8243 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0971 loss: 2.0971 2022/08/03 12:32:08 - mmengine - INFO - Epoch(train) [15][1760/1879] lr: 1.0000e-02 eta: 2 days, 6:03:55 time: 0.4274 data_time: 0.0182 memory: 17087 grad_norm: 4.7336 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8863 loss: 1.8863 2022/08/03 12:32:16 - mmengine - INFO - Epoch(train) [15][1780/1879] lr: 1.0000e-02 eta: 2 days, 6:03:46 time: 0.4289 data_time: 0.0128 memory: 17087 grad_norm: 4.7110 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8630 loss: 1.8630 2022/08/03 12:32:25 - mmengine - INFO - Epoch(train) [15][1800/1879] lr: 1.0000e-02 eta: 2 days, 6:03:35 time: 0.4237 data_time: 0.0149 memory: 17087 grad_norm: 4.7504 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9503 loss: 1.9503 2022/08/03 12:32:33 - mmengine - INFO - Epoch(train) [15][1820/1879] lr: 1.0000e-02 eta: 2 days, 6:03:25 time: 0.4246 data_time: 0.0142 memory: 17087 grad_norm: 4.7718 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8713 loss: 1.8713 2022/08/03 12:32:42 - mmengine - INFO - Epoch(train) [15][1840/1879] lr: 1.0000e-02 eta: 2 days, 6:03:14 time: 0.4223 data_time: 0.0160 memory: 17087 grad_norm: 4.6932 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0432 loss: 2.0432 2022/08/03 12:32:50 - mmengine - INFO - Epoch(train) [15][1860/1879] lr: 1.0000e-02 eta: 2 days, 6:03:04 time: 0.4235 data_time: 0.0134 memory: 17087 grad_norm: 4.7141 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9374 loss: 1.9374 2022/08/03 12:32:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:32:58 - mmengine - INFO - Epoch(train) [15][1879/1879] lr: 1.0000e-02 eta: 2 days, 6:03:04 time: 0.4293 data_time: 0.0167 memory: 17087 grad_norm: 4.9520 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.0028 loss: 2.0028 2022/08/03 12:33:06 - mmengine - INFO - Epoch(val) [15][20/155] eta: 0:00:50 time: 0.3713 data_time: 0.2020 memory: 2821 2022/08/03 12:33:10 - mmengine - INFO - Epoch(val) [15][40/155] eta: 0:00:27 time: 0.2364 data_time: 0.0712 memory: 2821 2022/08/03 12:33:16 - mmengine - INFO - Epoch(val) [15][60/155] eta: 0:00:28 time: 0.2998 data_time: 0.1223 memory: 2821 2022/08/03 12:33:22 - mmengine - INFO - Epoch(val) [15][80/155] eta: 0:00:20 time: 0.2728 data_time: 0.1073 memory: 2821 2022/08/03 12:33:28 - mmengine - INFO - Epoch(val) [15][100/155] eta: 0:00:16 time: 0.3083 data_time: 0.1425 memory: 2821 2022/08/03 12:33:34 - mmengine - INFO - Epoch(val) [15][120/155] eta: 0:00:09 time: 0.2838 data_time: 0.1049 memory: 2821 2022/08/03 12:33:40 - mmengine - INFO - Epoch(val) [15][140/155] eta: 0:00:04 time: 0.3112 data_time: 0.1423 memory: 2821 2022/08/03 12:33:46 - mmengine - INFO - Epoch(val) [15][155/155] acc/top1: 0.6124 acc/top5: 0.8348 acc/mean1: 0.6124 2022/08/03 12:33:46 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/best_acc/top1_epoch_11.pth is removed 2022/08/03 12:33:49 - mmengine - INFO - The best checkpoint with 0.6124 acc/top1 at 16 epoch is saved to best_acc/top1_epoch_16.pth. 2022/08/03 12:33:59 - mmengine - INFO - Epoch(train) [16][20/1879] lr: 1.0000e-02 eta: 2 days, 6:01:04 time: 0.5173 data_time: 0.1098 memory: 17087 grad_norm: 4.7445 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9952 loss: 1.9952 2022/08/03 12:34:08 - mmengine - INFO - Epoch(train) [16][40/1879] lr: 1.0000e-02 eta: 2 days, 6:00:54 time: 0.4258 data_time: 0.0151 memory: 17087 grad_norm: 4.6563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8612 loss: 1.8612 2022/08/03 12:34:16 - mmengine - INFO - Epoch(train) [16][60/1879] lr: 1.0000e-02 eta: 2 days, 6:00:43 time: 0.4229 data_time: 0.0145 memory: 17087 grad_norm: 4.7853 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9451 loss: 1.9451 2022/08/03 12:34:25 - mmengine - INFO - Epoch(train) [16][80/1879] lr: 1.0000e-02 eta: 2 days, 6:00:36 time: 0.4344 data_time: 0.0164 memory: 17087 grad_norm: 4.7533 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8480 loss: 1.8480 2022/08/03 12:34:33 - mmengine - INFO - Epoch(train) [16][100/1879] lr: 1.0000e-02 eta: 2 days, 6:00:26 time: 0.4231 data_time: 0.0142 memory: 17087 grad_norm: 4.7600 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1310 loss: 2.1310 2022/08/03 12:34:42 - mmengine - INFO - Epoch(train) [16][120/1879] lr: 1.0000e-02 eta: 2 days, 6:00:15 time: 0.4229 data_time: 0.0151 memory: 17087 grad_norm: 4.9065 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9563 loss: 1.9563 2022/08/03 12:34:50 - mmengine - INFO - Epoch(train) [16][140/1879] lr: 1.0000e-02 eta: 2 days, 6:00:08 time: 0.4329 data_time: 0.0139 memory: 17087 grad_norm: 4.7706 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8530 loss: 1.8530 2022/08/03 12:34:59 - mmengine - INFO - Epoch(train) [16][160/1879] lr: 1.0000e-02 eta: 2 days, 5:59:57 time: 0.4227 data_time: 0.0150 memory: 17087 grad_norm: 4.7383 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8589 loss: 1.8589 2022/08/03 12:35:08 - mmengine - INFO - Epoch(train) [16][180/1879] lr: 1.0000e-02 eta: 2 days, 5:59:49 time: 0.4303 data_time: 0.0166 memory: 17087 grad_norm: 4.7575 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7579 loss: 1.7579 2022/08/03 12:35:16 - mmengine - INFO - Epoch(train) [16][200/1879] lr: 1.0000e-02 eta: 2 days, 5:59:38 time: 0.4230 data_time: 0.0158 memory: 17087 grad_norm: 4.8645 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0129 loss: 2.0129 2022/08/03 12:35:25 - mmengine - INFO - Epoch(train) [16][220/1879] lr: 1.0000e-02 eta: 2 days, 5:59:28 time: 0.4244 data_time: 0.0147 memory: 17087 grad_norm: 4.7335 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1527 loss: 2.1527 2022/08/03 12:35:33 - mmengine - INFO - Epoch(train) [16][240/1879] lr: 1.0000e-02 eta: 2 days, 5:59:19 time: 0.4288 data_time: 0.0163 memory: 17087 grad_norm: 4.7337 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0888 loss: 2.0888 2022/08/03 12:35:42 - mmengine - INFO - Epoch(train) [16][260/1879] lr: 1.0000e-02 eta: 2 days, 5:59:09 time: 0.4239 data_time: 0.0121 memory: 17087 grad_norm: 4.8635 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8767 loss: 1.8767 2022/08/03 12:35:50 - mmengine - INFO - Epoch(train) [16][280/1879] lr: 1.0000e-02 eta: 2 days, 5:58:58 time: 0.4238 data_time: 0.0155 memory: 17087 grad_norm: 4.7831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9130 loss: 1.9130 2022/08/03 12:35:58 - mmengine - INFO - Epoch(train) [16][300/1879] lr: 1.0000e-02 eta: 2 days, 5:58:47 time: 0.4219 data_time: 0.0116 memory: 17087 grad_norm: 4.7595 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8617 loss: 1.8617 2022/08/03 12:36:07 - mmengine - INFO - Epoch(train) [16][320/1879] lr: 1.0000e-02 eta: 2 days, 5:58:41 time: 0.4354 data_time: 0.0173 memory: 17087 grad_norm: 4.7411 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1108 loss: 2.1108 2022/08/03 12:36:16 - mmengine - INFO - Epoch(train) [16][340/1879] lr: 1.0000e-02 eta: 2 days, 5:58:30 time: 0.4230 data_time: 0.0139 memory: 17087 grad_norm: 4.6402 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8575 loss: 1.8575 2022/08/03 12:36:24 - mmengine - INFO - Epoch(train) [16][360/1879] lr: 1.0000e-02 eta: 2 days, 5:58:22 time: 0.4318 data_time: 0.0160 memory: 17087 grad_norm: 4.7458 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8867 loss: 1.8867 2022/08/03 12:36:33 - mmengine - INFO - Epoch(train) [16][380/1879] lr: 1.0000e-02 eta: 2 days, 5:58:14 time: 0.4297 data_time: 0.0143 memory: 17087 grad_norm: 4.8587 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8251 loss: 1.8251 2022/08/03 12:36:42 - mmengine - INFO - Epoch(train) [16][400/1879] lr: 1.0000e-02 eta: 2 days, 5:58:06 time: 0.4316 data_time: 0.0181 memory: 17087 grad_norm: 4.8043 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0065 loss: 2.0065 2022/08/03 12:36:50 - mmengine - INFO - Epoch(train) [16][420/1879] lr: 1.0000e-02 eta: 2 days, 5:57:55 time: 0.4222 data_time: 0.0141 memory: 17087 grad_norm: 4.8728 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9338 loss: 1.9338 2022/08/03 12:36:59 - mmengine - INFO - Epoch(train) [16][440/1879] lr: 1.0000e-02 eta: 2 days, 5:57:47 time: 0.4313 data_time: 0.0164 memory: 17087 grad_norm: 4.7809 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 1.8576 loss: 1.8576 2022/08/03 12:37:07 - mmengine - INFO - Epoch(train) [16][460/1879] lr: 1.0000e-02 eta: 2 days, 5:57:36 time: 0.4224 data_time: 0.0126 memory: 17087 grad_norm: 4.7628 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8142 loss: 1.8142 2022/08/03 12:37:16 - mmengine - INFO - Epoch(train) [16][480/1879] lr: 1.0000e-02 eta: 2 days, 5:57:26 time: 0.4262 data_time: 0.0169 memory: 17087 grad_norm: 4.7872 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9054 loss: 1.9054 2022/08/03 12:37:24 - mmengine - INFO - Epoch(train) [16][500/1879] lr: 1.0000e-02 eta: 2 days, 5:57:16 time: 0.4237 data_time: 0.0136 memory: 17087 grad_norm: 4.9028 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0343 loss: 2.0343 2022/08/03 12:37:33 - mmengine - INFO - Epoch(train) [16][520/1879] lr: 1.0000e-02 eta: 2 days, 5:57:06 time: 0.4242 data_time: 0.0145 memory: 17087 grad_norm: 4.8967 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0465 loss: 2.0465 2022/08/03 12:37:42 - mmengine - INFO - Epoch(train) [16][540/1879] lr: 1.0000e-02 eta: 2 days, 5:57:03 time: 0.4488 data_time: 0.0149 memory: 17087 grad_norm: 4.9738 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1578 loss: 2.1578 2022/08/03 12:37:50 - mmengine - INFO - Epoch(train) [16][560/1879] lr: 1.0000e-02 eta: 2 days, 5:56:54 time: 0.4255 data_time: 0.0152 memory: 17087 grad_norm: 4.7840 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8781 loss: 1.8781 2022/08/03 12:37:59 - mmengine - INFO - Epoch(train) [16][580/1879] lr: 1.0000e-02 eta: 2 days, 5:56:48 time: 0.4407 data_time: 0.0147 memory: 17087 grad_norm: 4.7772 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0275 loss: 2.0275 2022/08/03 12:38:07 - mmengine - INFO - Epoch(train) [16][600/1879] lr: 1.0000e-02 eta: 2 days, 5:56:39 time: 0.4258 data_time: 0.0160 memory: 17087 grad_norm: 4.9335 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8951 loss: 1.8951 2022/08/03 12:38:16 - mmengine - INFO - Epoch(train) [16][620/1879] lr: 1.0000e-02 eta: 2 days, 5:56:36 time: 0.4480 data_time: 0.0157 memory: 17087 grad_norm: 4.8327 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8229 loss: 1.8229 2022/08/03 12:38:25 - mmengine - INFO - Epoch(train) [16][640/1879] lr: 1.0000e-02 eta: 2 days, 5:56:27 time: 0.4287 data_time: 0.0167 memory: 17087 grad_norm: 4.7430 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0330 loss: 2.0330 2022/08/03 12:38:33 - mmengine - INFO - Epoch(train) [16][660/1879] lr: 1.0000e-02 eta: 2 days, 5:56:18 time: 0.4271 data_time: 0.0144 memory: 17087 grad_norm: 4.8275 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0035 loss: 2.0035 2022/08/03 12:38:42 - mmengine - INFO - Epoch(train) [16][680/1879] lr: 1.0000e-02 eta: 2 days, 5:56:07 time: 0.4238 data_time: 0.0155 memory: 17087 grad_norm: 4.9303 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8778 loss: 1.8778 2022/08/03 12:38:50 - mmengine - INFO - Epoch(train) [16][700/1879] lr: 1.0000e-02 eta: 2 days, 5:55:57 time: 0.4233 data_time: 0.0144 memory: 17087 grad_norm: 4.6831 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9050 loss: 1.9050 2022/08/03 12:38:59 - mmengine - INFO - Epoch(train) [16][720/1879] lr: 1.0000e-02 eta: 2 days, 5:55:47 time: 0.4259 data_time: 0.0162 memory: 17087 grad_norm: 4.7919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8881 loss: 1.8881 2022/08/03 12:39:07 - mmengine - INFO - Epoch(train) [16][740/1879] lr: 1.0000e-02 eta: 2 days, 5:55:38 time: 0.4267 data_time: 0.0176 memory: 17087 grad_norm: 4.7332 top1_acc: 0.2500 top5_acc: 0.3125 loss_cls: 1.9993 loss: 1.9993 2022/08/03 12:39:16 - mmengine - INFO - Epoch(train) [16][760/1879] lr: 1.0000e-02 eta: 2 days, 5:55:28 time: 0.4253 data_time: 0.0164 memory: 17087 grad_norm: 4.8560 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0055 loss: 2.0055 2022/08/03 12:39:24 - mmengine - INFO - Epoch(train) [16][780/1879] lr: 1.0000e-02 eta: 2 days, 5:55:18 time: 0.4242 data_time: 0.0171 memory: 17087 grad_norm: 4.8465 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1212 loss: 2.1212 2022/08/03 12:39:33 - mmengine - INFO - Epoch(train) [16][800/1879] lr: 1.0000e-02 eta: 2 days, 5:55:07 time: 0.4237 data_time: 0.0161 memory: 17087 grad_norm: 4.6771 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8073 loss: 1.8073 2022/08/03 12:39:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:39:41 - mmengine - INFO - Epoch(train) [16][820/1879] lr: 1.0000e-02 eta: 2 days, 5:54:57 time: 0.4233 data_time: 0.0143 memory: 17087 grad_norm: 4.6588 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7794 loss: 1.7794 2022/08/03 12:39:50 - mmengine - INFO - Epoch(train) [16][840/1879] lr: 1.0000e-02 eta: 2 days, 5:54:51 time: 0.4390 data_time: 0.0164 memory: 17087 grad_norm: 4.7669 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1425 loss: 2.1425 2022/08/03 12:39:59 - mmengine - INFO - Epoch(train) [16][860/1879] lr: 1.0000e-02 eta: 2 days, 5:54:42 time: 0.4265 data_time: 0.0137 memory: 17087 grad_norm: 4.8787 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0430 loss: 2.0430 2022/08/03 12:40:08 - mmengine - INFO - Epoch(train) [16][880/1879] lr: 1.0000e-02 eta: 2 days, 5:54:40 time: 0.4519 data_time: 0.0159 memory: 17087 grad_norm: 4.7746 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1702 loss: 2.1702 2022/08/03 12:40:16 - mmengine - INFO - Epoch(train) [16][900/1879] lr: 1.0000e-02 eta: 2 days, 5:54:29 time: 0.4205 data_time: 0.0147 memory: 17087 grad_norm: 4.7818 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8953 loss: 1.8953 2022/08/03 12:40:25 - mmengine - INFO - Epoch(train) [16][920/1879] lr: 1.0000e-02 eta: 2 days, 5:54:19 time: 0.4260 data_time: 0.0158 memory: 17087 grad_norm: 4.7898 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0439 loss: 2.0439 2022/08/03 12:40:33 - mmengine - INFO - Epoch(train) [16][940/1879] lr: 1.0000e-02 eta: 2 days, 5:54:09 time: 0.4239 data_time: 0.0148 memory: 17087 grad_norm: 4.9389 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9576 loss: 1.9576 2022/08/03 12:40:42 - mmengine - INFO - Epoch(train) [16][960/1879] lr: 1.0000e-02 eta: 2 days, 5:53:59 time: 0.4247 data_time: 0.0170 memory: 17087 grad_norm: 4.7603 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2959 loss: 2.2959 2022/08/03 12:40:50 - mmengine - INFO - Epoch(train) [16][980/1879] lr: 1.0000e-02 eta: 2 days, 5:53:48 time: 0.4237 data_time: 0.0131 memory: 17087 grad_norm: 4.7785 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1694 loss: 2.1694 2022/08/03 12:40:59 - mmengine - INFO - Epoch(train) [16][1000/1879] lr: 1.0000e-02 eta: 2 days, 5:53:40 time: 0.4307 data_time: 0.0178 memory: 17087 grad_norm: 4.8532 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9642 loss: 1.9642 2022/08/03 12:41:07 - mmengine - INFO - Epoch(train) [16][1020/1879] lr: 1.0000e-02 eta: 2 days, 5:53:30 time: 0.4230 data_time: 0.0124 memory: 17087 grad_norm: 4.8213 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0364 loss: 2.0364 2022/08/03 12:41:16 - mmengine - INFO - Epoch(train) [16][1040/1879] lr: 1.0000e-02 eta: 2 days, 5:53:21 time: 0.4294 data_time: 0.0220 memory: 17087 grad_norm: 4.7069 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7965 loss: 1.7965 2022/08/03 12:41:24 - mmengine - INFO - Epoch(train) [16][1060/1879] lr: 1.0000e-02 eta: 2 days, 5:53:13 time: 0.4324 data_time: 0.0138 memory: 17087 grad_norm: 4.7113 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9274 loss: 1.9274 2022/08/03 12:41:33 - mmengine - INFO - Epoch(train) [16][1080/1879] lr: 1.0000e-02 eta: 2 days, 5:53:03 time: 0.4247 data_time: 0.0151 memory: 17087 grad_norm: 4.7113 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7974 loss: 1.7974 2022/08/03 12:41:41 - mmengine - INFO - Epoch(train) [16][1100/1879] lr: 1.0000e-02 eta: 2 days, 5:52:53 time: 0.4237 data_time: 0.0135 memory: 17087 grad_norm: 4.7878 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8590 loss: 1.8590 2022/08/03 12:41:50 - mmengine - INFO - Epoch(train) [16][1120/1879] lr: 1.0000e-02 eta: 2 days, 5:52:45 time: 0.4300 data_time: 0.0186 memory: 17087 grad_norm: 4.5990 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8516 loss: 1.8516 2022/08/03 12:41:58 - mmengine - INFO - Epoch(train) [16][1140/1879] lr: 1.0000e-02 eta: 2 days, 5:52:34 time: 0.4230 data_time: 0.0146 memory: 17087 grad_norm: 4.8456 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0024 loss: 2.0024 2022/08/03 12:42:07 - mmengine - INFO - Epoch(train) [16][1160/1879] lr: 1.0000e-02 eta: 2 days, 5:52:25 time: 0.4287 data_time: 0.0155 memory: 17087 grad_norm: 4.8075 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9941 loss: 1.9941 2022/08/03 12:42:16 - mmengine - INFO - Epoch(train) [16][1180/1879] lr: 1.0000e-02 eta: 2 days, 5:52:16 time: 0.4282 data_time: 0.0149 memory: 17087 grad_norm: 4.8529 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8767 loss: 1.8767 2022/08/03 12:42:24 - mmengine - INFO - Epoch(train) [16][1200/1879] lr: 1.0000e-02 eta: 2 days, 5:52:07 time: 0.4258 data_time: 0.0164 memory: 17087 grad_norm: 4.6787 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.0160 loss: 2.0160 2022/08/03 12:42:33 - mmengine - INFO - Epoch(train) [16][1220/1879] lr: 1.0000e-02 eta: 2 days, 5:51:56 time: 0.4239 data_time: 0.0130 memory: 17087 grad_norm: 4.7655 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0281 loss: 2.0281 2022/08/03 12:42:41 - mmengine - INFO - Epoch(train) [16][1240/1879] lr: 1.0000e-02 eta: 2 days, 5:51:48 time: 0.4293 data_time: 0.0164 memory: 17087 grad_norm: 4.7387 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0398 loss: 2.0398 2022/08/03 12:42:50 - mmengine - INFO - Epoch(train) [16][1260/1879] lr: 1.0000e-02 eta: 2 days, 5:51:37 time: 0.4215 data_time: 0.0129 memory: 17087 grad_norm: 4.8092 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0306 loss: 2.0306 2022/08/03 12:42:58 - mmengine - INFO - Epoch(train) [16][1280/1879] lr: 1.0000e-02 eta: 2 days, 5:51:31 time: 0.4399 data_time: 0.0159 memory: 17087 grad_norm: 4.9259 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9401 loss: 1.9401 2022/08/03 12:43:07 - mmengine - INFO - Epoch(train) [16][1300/1879] lr: 1.0000e-02 eta: 2 days, 5:51:21 time: 0.4241 data_time: 0.0143 memory: 17087 grad_norm: 4.9408 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9825 loss: 1.9825 2022/08/03 12:43:16 - mmengine - INFO - Epoch(train) [16][1320/1879] lr: 1.0000e-02 eta: 2 days, 5:51:19 time: 0.4516 data_time: 0.0160 memory: 17087 grad_norm: 4.7126 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9363 loss: 1.9363 2022/08/03 12:43:24 - mmengine - INFO - Epoch(train) [16][1340/1879] lr: 1.0000e-02 eta: 2 days, 5:51:09 time: 0.4246 data_time: 0.0141 memory: 17087 grad_norm: 4.7913 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.0103 loss: 2.0103 2022/08/03 12:43:33 - mmengine - INFO - Epoch(train) [16][1360/1879] lr: 1.0000e-02 eta: 2 days, 5:50:59 time: 0.4241 data_time: 0.0155 memory: 17087 grad_norm: 4.8028 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0268 loss: 2.0268 2022/08/03 12:43:41 - mmengine - INFO - Epoch(train) [16][1380/1879] lr: 1.0000e-02 eta: 2 days, 5:50:49 time: 0.4255 data_time: 0.0134 memory: 17087 grad_norm: 4.8520 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8188 loss: 1.8188 2022/08/03 12:43:50 - mmengine - INFO - Epoch(train) [16][1400/1879] lr: 1.0000e-02 eta: 2 days, 5:50:39 time: 0.4246 data_time: 0.0159 memory: 17087 grad_norm: 4.8038 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8735 loss: 1.8735 2022/08/03 12:43:59 - mmengine - INFO - Epoch(train) [16][1420/1879] lr: 1.0000e-02 eta: 2 days, 5:50:36 time: 0.4461 data_time: 0.0148 memory: 17087 grad_norm: 4.8341 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8912 loss: 1.8912 2022/08/03 12:44:08 - mmengine - INFO - Epoch(train) [16][1440/1879] lr: 1.0000e-02 eta: 2 days, 5:50:28 time: 0.4323 data_time: 0.0156 memory: 17087 grad_norm: 4.6747 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9580 loss: 1.9580 2022/08/03 12:44:16 - mmengine - INFO - Epoch(train) [16][1460/1879] lr: 1.0000e-02 eta: 2 days, 5:50:19 time: 0.4267 data_time: 0.0155 memory: 17087 grad_norm: 4.7681 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7133 loss: 1.7133 2022/08/03 12:44:25 - mmengine - INFO - Epoch(train) [16][1480/1879] lr: 1.0000e-02 eta: 2 days, 5:50:10 time: 0.4272 data_time: 0.0169 memory: 17087 grad_norm: 4.9195 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.2000 loss: 2.2000 2022/08/03 12:44:33 - mmengine - INFO - Epoch(train) [16][1500/1879] lr: 1.0000e-02 eta: 2 days, 5:49:59 time: 0.4231 data_time: 0.0133 memory: 17087 grad_norm: 4.7145 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8676 loss: 1.8676 2022/08/03 12:44:42 - mmengine - INFO - Epoch(train) [16][1520/1879] lr: 1.0000e-02 eta: 2 days, 5:49:57 time: 0.4505 data_time: 0.0159 memory: 17087 grad_norm: 4.7748 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8868 loss: 1.8868 2022/08/03 12:44:51 - mmengine - INFO - Epoch(train) [16][1540/1879] lr: 1.0000e-02 eta: 2 days, 5:49:46 time: 0.4218 data_time: 0.0135 memory: 17087 grad_norm: 4.6937 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7904 loss: 1.7904 2022/08/03 12:44:59 - mmengine - INFO - Epoch(train) [16][1560/1879] lr: 1.0000e-02 eta: 2 days, 5:49:37 time: 0.4291 data_time: 0.0170 memory: 17087 grad_norm: 4.9231 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2074 loss: 2.2074 2022/08/03 12:45:08 - mmengine - INFO - Epoch(train) [16][1580/1879] lr: 1.0000e-02 eta: 2 days, 5:49:27 time: 0.4249 data_time: 0.0141 memory: 17087 grad_norm: 4.7851 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0904 loss: 2.0904 2022/08/03 12:45:16 - mmengine - INFO - Epoch(train) [16][1600/1879] lr: 1.0000e-02 eta: 2 days, 5:49:17 time: 0.4233 data_time: 0.0174 memory: 17087 grad_norm: 4.7010 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8070 loss: 1.8070 2022/08/03 12:45:25 - mmengine - INFO - Epoch(train) [16][1620/1879] lr: 1.0000e-02 eta: 2 days, 5:49:09 time: 0.4306 data_time: 0.0140 memory: 17087 grad_norm: 4.7969 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0308 loss: 2.0308 2022/08/03 12:45:33 - mmengine - INFO - Epoch(train) [16][1640/1879] lr: 1.0000e-02 eta: 2 days, 5:48:59 time: 0.4243 data_time: 0.0158 memory: 17087 grad_norm: 4.7743 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0367 loss: 2.0367 2022/08/03 12:45:42 - mmengine - INFO - Epoch(train) [16][1660/1879] lr: 1.0000e-02 eta: 2 days, 5:48:48 time: 0.4235 data_time: 0.0131 memory: 17087 grad_norm: 4.8804 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8051 loss: 1.8051 2022/08/03 12:45:50 - mmengine - INFO - Epoch(train) [16][1680/1879] lr: 1.0000e-02 eta: 2 days, 5:48:38 time: 0.4248 data_time: 0.0155 memory: 17087 grad_norm: 4.7798 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7186 loss: 1.7186 2022/08/03 12:45:59 - mmengine - INFO - Epoch(train) [16][1700/1879] lr: 1.0000e-02 eta: 2 days, 5:48:29 time: 0.4283 data_time: 0.0170 memory: 17087 grad_norm: 4.6431 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7993 loss: 1.7993 2022/08/03 12:46:07 - mmengine - INFO - Epoch(train) [16][1720/1879] lr: 1.0000e-02 eta: 2 days, 5:48:19 time: 0.4234 data_time: 0.0149 memory: 17087 grad_norm: 4.8299 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9578 loss: 1.9578 2022/08/03 12:46:16 - mmengine - INFO - Epoch(train) [16][1740/1879] lr: 1.0000e-02 eta: 2 days, 5:48:09 time: 0.4257 data_time: 0.0147 memory: 17087 grad_norm: 4.7902 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0934 loss: 2.0934 2022/08/03 12:46:24 - mmengine - INFO - Epoch(train) [16][1760/1879] lr: 1.0000e-02 eta: 2 days, 5:47:59 time: 0.4254 data_time: 0.0150 memory: 17087 grad_norm: 4.6601 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0437 loss: 2.0437 2022/08/03 12:46:33 - mmengine - INFO - Epoch(train) [16][1780/1879] lr: 1.0000e-02 eta: 2 days, 5:47:50 time: 0.4270 data_time: 0.0131 memory: 17087 grad_norm: 4.8137 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8460 loss: 1.8460 2022/08/03 12:46:41 - mmengine - INFO - Epoch(train) [16][1800/1879] lr: 1.0000e-02 eta: 2 days, 5:47:40 time: 0.4251 data_time: 0.0164 memory: 17087 grad_norm: 4.6259 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0069 loss: 2.0069 2022/08/03 12:46:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:46:50 - mmengine - INFO - Epoch(train) [16][1820/1879] lr: 1.0000e-02 eta: 2 days, 5:47:34 time: 0.4365 data_time: 0.0150 memory: 17087 grad_norm: 4.8963 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0302 loss: 2.0302 2022/08/03 12:46:59 - mmengine - INFO - Epoch(train) [16][1840/1879] lr: 1.0000e-02 eta: 2 days, 5:47:24 time: 0.4251 data_time: 0.0150 memory: 17087 grad_norm: 4.8195 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0583 loss: 2.0583 2022/08/03 12:47:07 - mmengine - INFO - Epoch(train) [16][1860/1879] lr: 1.0000e-02 eta: 2 days, 5:47:17 time: 0.4363 data_time: 0.0147 memory: 17087 grad_norm: 4.6373 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0953 loss: 2.0953 2022/08/03 12:47:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:47:15 - mmengine - INFO - Epoch(train) [16][1879/1879] lr: 1.0000e-02 eta: 2 days, 5:47:17 time: 0.4101 data_time: 0.0141 memory: 17087 grad_norm: 4.9619 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.0569 loss: 2.0569 2022/08/03 12:47:15 - mmengine - INFO - Saving checkpoint at 16 epochs 2022/08/03 12:47:30 - mmengine - INFO - Epoch(train) [17][20/1879] lr: 1.0000e-02 eta: 2 days, 5:45:21 time: 0.5035 data_time: 0.0956 memory: 17087 grad_norm: 4.6757 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.0076 loss: 2.0076 2022/08/03 12:47:38 - mmengine - INFO - Epoch(train) [17][40/1879] lr: 1.0000e-02 eta: 2 days, 5:45:14 time: 0.4344 data_time: 0.0210 memory: 17087 grad_norm: 4.8133 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9239 loss: 1.9239 2022/08/03 12:47:47 - mmengine - INFO - Epoch(train) [17][60/1879] lr: 1.0000e-02 eta: 2 days, 5:45:05 time: 0.4274 data_time: 0.0141 memory: 17087 grad_norm: 4.6889 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9723 loss: 1.9723 2022/08/03 12:47:55 - mmengine - INFO - Epoch(train) [17][80/1879] lr: 1.0000e-02 eta: 2 days, 5:44:57 time: 0.4320 data_time: 0.0145 memory: 17087 grad_norm: 4.8417 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7724 loss: 1.7724 2022/08/03 12:48:04 - mmengine - INFO - Epoch(train) [17][100/1879] lr: 1.0000e-02 eta: 2 days, 5:44:46 time: 0.4228 data_time: 0.0152 memory: 17087 grad_norm: 4.8091 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9937 loss: 1.9937 2022/08/03 12:48:12 - mmengine - INFO - Epoch(train) [17][120/1879] lr: 1.0000e-02 eta: 2 days, 5:44:36 time: 0.4240 data_time: 0.0167 memory: 17087 grad_norm: 4.8109 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7794 loss: 1.7794 2022/08/03 12:48:21 - mmengine - INFO - Epoch(train) [17][140/1879] lr: 1.0000e-02 eta: 2 days, 5:44:26 time: 0.4253 data_time: 0.0141 memory: 17087 grad_norm: 4.8062 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7398 loss: 1.7398 2022/08/03 12:48:29 - mmengine - INFO - Epoch(train) [17][160/1879] lr: 1.0000e-02 eta: 2 days, 5:44:17 time: 0.4252 data_time: 0.0161 memory: 17087 grad_norm: 4.7673 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0763 loss: 2.0763 2022/08/03 12:48:38 - mmengine - INFO - Epoch(train) [17][180/1879] lr: 1.0000e-02 eta: 2 days, 5:44:08 time: 0.4300 data_time: 0.0145 memory: 17087 grad_norm: 4.6615 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9752 loss: 1.9752 2022/08/03 12:48:47 - mmengine - INFO - Epoch(train) [17][200/1879] lr: 1.0000e-02 eta: 2 days, 5:44:02 time: 0.4379 data_time: 0.0150 memory: 17087 grad_norm: 4.6565 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9688 loss: 1.9688 2022/08/03 12:48:55 - mmengine - INFO - Epoch(train) [17][220/1879] lr: 1.0000e-02 eta: 2 days, 5:43:53 time: 0.4264 data_time: 0.0152 memory: 17087 grad_norm: 4.7361 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7496 loss: 1.7496 2022/08/03 12:49:04 - mmengine - INFO - Epoch(train) [17][240/1879] lr: 1.0000e-02 eta: 2 days, 5:43:43 time: 0.4238 data_time: 0.0144 memory: 17087 grad_norm: 4.7622 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9989 loss: 1.9989 2022/08/03 12:49:12 - mmengine - INFO - Epoch(train) [17][260/1879] lr: 1.0000e-02 eta: 2 days, 5:43:37 time: 0.4388 data_time: 0.0143 memory: 17087 grad_norm: 4.8361 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0204 loss: 2.0204 2022/08/03 12:49:21 - mmengine - INFO - Epoch(train) [17][280/1879] lr: 1.0000e-02 eta: 2 days, 5:43:27 time: 0.4244 data_time: 0.0160 memory: 17087 grad_norm: 4.9281 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0717 loss: 2.0717 2022/08/03 12:49:29 - mmengine - INFO - Epoch(train) [17][300/1879] lr: 1.0000e-02 eta: 2 days, 5:43:17 time: 0.4235 data_time: 0.0141 memory: 17087 grad_norm: 4.7629 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9728 loss: 1.9728 2022/08/03 12:49:38 - mmengine - INFO - Epoch(train) [17][320/1879] lr: 1.0000e-02 eta: 2 days, 5:43:09 time: 0.4308 data_time: 0.0165 memory: 17087 grad_norm: 4.8592 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8899 loss: 1.8899 2022/08/03 12:49:47 - mmengine - INFO - Epoch(train) [17][340/1879] lr: 1.0000e-02 eta: 2 days, 5:42:58 time: 0.4219 data_time: 0.0134 memory: 17087 grad_norm: 4.7987 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8685 loss: 1.8685 2022/08/03 12:49:55 - mmengine - INFO - Epoch(train) [17][360/1879] lr: 1.0000e-02 eta: 2 days, 5:42:50 time: 0.4294 data_time: 0.0171 memory: 17087 grad_norm: 4.8217 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8478 loss: 1.8478 2022/08/03 12:50:04 - mmengine - INFO - Epoch(train) [17][380/1879] lr: 1.0000e-02 eta: 2 days, 5:42:39 time: 0.4232 data_time: 0.0160 memory: 17087 grad_norm: 4.6586 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8365 loss: 1.8365 2022/08/03 12:50:12 - mmengine - INFO - Epoch(train) [17][400/1879] lr: 1.0000e-02 eta: 2 days, 5:42:32 time: 0.4331 data_time: 0.0177 memory: 17087 grad_norm: 4.8090 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9218 loss: 1.9218 2022/08/03 12:50:21 - mmengine - INFO - Epoch(train) [17][420/1879] lr: 1.0000e-02 eta: 2 days, 5:42:23 time: 0.4292 data_time: 0.0137 memory: 17087 grad_norm: 4.8164 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9988 loss: 1.9988 2022/08/03 12:50:29 - mmengine - INFO - Epoch(train) [17][440/1879] lr: 1.0000e-02 eta: 2 days, 5:42:14 time: 0.4281 data_time: 0.0165 memory: 17087 grad_norm: 4.7524 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9531 loss: 1.9531 2022/08/03 12:50:38 - mmengine - INFO - Epoch(train) [17][460/1879] lr: 1.0000e-02 eta: 2 days, 5:42:04 time: 0.4240 data_time: 0.0139 memory: 17087 grad_norm: 4.5875 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9709 loss: 1.9709 2022/08/03 12:50:47 - mmengine - INFO - Epoch(train) [17][480/1879] lr: 1.0000e-02 eta: 2 days, 5:41:59 time: 0.4392 data_time: 0.0150 memory: 17087 grad_norm: 4.8332 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0432 loss: 2.0432 2022/08/03 12:50:55 - mmengine - INFO - Epoch(train) [17][500/1879] lr: 1.0000e-02 eta: 2 days, 5:41:50 time: 0.4274 data_time: 0.0131 memory: 17087 grad_norm: 4.7541 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8092 loss: 1.8092 2022/08/03 12:51:04 - mmengine - INFO - Epoch(train) [17][520/1879] lr: 1.0000e-02 eta: 2 days, 5:41:40 time: 0.4242 data_time: 0.0148 memory: 17087 grad_norm: 4.8437 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9250 loss: 1.9250 2022/08/03 12:51:12 - mmengine - INFO - Epoch(train) [17][540/1879] lr: 1.0000e-02 eta: 2 days, 5:41:30 time: 0.4259 data_time: 0.0142 memory: 17087 grad_norm: 4.8094 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9347 loss: 1.9347 2022/08/03 12:51:21 - mmengine - INFO - Epoch(train) [17][560/1879] lr: 1.0000e-02 eta: 2 days, 5:41:21 time: 0.4261 data_time: 0.0170 memory: 17087 grad_norm: 4.6116 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7617 loss: 1.7617 2022/08/03 12:51:29 - mmengine - INFO - Epoch(train) [17][580/1879] lr: 1.0000e-02 eta: 2 days, 5:41:11 time: 0.4249 data_time: 0.0139 memory: 17087 grad_norm: 4.9459 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1188 loss: 2.1188 2022/08/03 12:51:38 - mmengine - INFO - Epoch(train) [17][600/1879] lr: 1.0000e-02 eta: 2 days, 5:41:01 time: 0.4239 data_time: 0.0158 memory: 17087 grad_norm: 4.8060 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0842 loss: 2.0842 2022/08/03 12:51:46 - mmengine - INFO - Epoch(train) [17][620/1879] lr: 1.0000e-02 eta: 2 days, 5:40:51 time: 0.4265 data_time: 0.0157 memory: 17087 grad_norm: 4.8485 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9323 loss: 1.9323 2022/08/03 12:51:55 - mmengine - INFO - Epoch(train) [17][640/1879] lr: 1.0000e-02 eta: 2 days, 5:40:41 time: 0.4235 data_time: 0.0150 memory: 17087 grad_norm: 4.7617 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0032 loss: 2.0032 2022/08/03 12:52:03 - mmengine - INFO - Epoch(train) [17][660/1879] lr: 1.0000e-02 eta: 2 days, 5:40:30 time: 0.4219 data_time: 0.0132 memory: 17087 grad_norm: 4.8193 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7967 loss: 1.7967 2022/08/03 12:52:12 - mmengine - INFO - Epoch(train) [17][680/1879] lr: 1.0000e-02 eta: 2 days, 5:40:20 time: 0.4231 data_time: 0.0181 memory: 17087 grad_norm: 4.7457 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7442 loss: 1.7442 2022/08/03 12:52:20 - mmengine - INFO - Epoch(train) [17][700/1879] lr: 1.0000e-02 eta: 2 days, 5:40:09 time: 0.4228 data_time: 0.0143 memory: 17087 grad_norm: 4.9843 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9070 loss: 1.9070 2022/08/03 12:52:29 - mmengine - INFO - Epoch(train) [17][720/1879] lr: 1.0000e-02 eta: 2 days, 5:40:06 time: 0.4467 data_time: 0.0166 memory: 17087 grad_norm: 4.8505 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8777 loss: 1.8777 2022/08/03 12:52:38 - mmengine - INFO - Epoch(train) [17][740/1879] lr: 1.0000e-02 eta: 2 days, 5:39:56 time: 0.4243 data_time: 0.0139 memory: 17087 grad_norm: 4.6715 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9083 loss: 1.9083 2022/08/03 12:52:46 - mmengine - INFO - Epoch(train) [17][760/1879] lr: 1.0000e-02 eta: 2 days, 5:39:47 time: 0.4270 data_time: 0.0146 memory: 17087 grad_norm: 4.7090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7828 loss: 1.7828 2022/08/03 12:52:55 - mmengine - INFO - Epoch(train) [17][780/1879] lr: 1.0000e-02 eta: 2 days, 5:39:37 time: 0.4243 data_time: 0.0135 memory: 17087 grad_norm: 4.8442 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9840 loss: 1.9840 2022/08/03 12:53:03 - mmengine - INFO - Epoch(train) [17][800/1879] lr: 1.0000e-02 eta: 2 days, 5:39:28 time: 0.4271 data_time: 0.0162 memory: 17087 grad_norm: 4.7370 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0550 loss: 2.0550 2022/08/03 12:53:12 - mmengine - INFO - Epoch(train) [17][820/1879] lr: 1.0000e-02 eta: 2 days, 5:39:21 time: 0.4370 data_time: 0.0138 memory: 17087 grad_norm: 4.6985 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0555 loss: 2.0555 2022/08/03 12:53:20 - mmengine - INFO - Epoch(train) [17][840/1879] lr: 1.0000e-02 eta: 2 days, 5:39:12 time: 0.4257 data_time: 0.0165 memory: 17087 grad_norm: 4.7979 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7227 loss: 1.7227 2022/08/03 12:53:29 - mmengine - INFO - Epoch(train) [17][860/1879] lr: 1.0000e-02 eta: 2 days, 5:39:03 time: 0.4288 data_time: 0.0155 memory: 17087 grad_norm: 4.8636 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0687 loss: 2.0687 2022/08/03 12:53:37 - mmengine - INFO - Epoch(train) [17][880/1879] lr: 1.0000e-02 eta: 2 days, 5:38:53 time: 0.4249 data_time: 0.0151 memory: 17087 grad_norm: 4.7695 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7033 loss: 1.7033 2022/08/03 12:53:46 - mmengine - INFO - Epoch(train) [17][900/1879] lr: 1.0000e-02 eta: 2 days, 5:38:45 time: 0.4297 data_time: 0.0137 memory: 17087 grad_norm: 4.7748 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0313 loss: 2.0313 2022/08/03 12:53:55 - mmengine - INFO - Epoch(train) [17][920/1879] lr: 1.0000e-02 eta: 2 days, 5:38:35 time: 0.4251 data_time: 0.0172 memory: 17087 grad_norm: 4.8120 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8111 loss: 1.8111 2022/08/03 12:54:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:54:03 - mmengine - INFO - Epoch(train) [17][940/1879] lr: 1.0000e-02 eta: 2 days, 5:38:24 time: 0.4214 data_time: 0.0138 memory: 17087 grad_norm: 4.6963 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0037 loss: 2.0037 2022/08/03 12:54:11 - mmengine - INFO - Epoch(train) [17][960/1879] lr: 1.0000e-02 eta: 2 days, 5:38:15 time: 0.4266 data_time: 0.0158 memory: 17087 grad_norm: 4.8775 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9575 loss: 1.9575 2022/08/03 12:54:20 - mmengine - INFO - Epoch(train) [17][980/1879] lr: 1.0000e-02 eta: 2 days, 5:38:05 time: 0.4246 data_time: 0.0141 memory: 17087 grad_norm: 4.8973 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0480 loss: 2.0480 2022/08/03 12:54:29 - mmengine - INFO - Epoch(train) [17][1000/1879] lr: 1.0000e-02 eta: 2 days, 5:38:02 time: 0.4485 data_time: 0.0169 memory: 17087 grad_norm: 4.9614 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9692 loss: 1.9692 2022/08/03 12:54:37 - mmengine - INFO - Epoch(train) [17][1020/1879] lr: 1.0000e-02 eta: 2 days, 5:37:52 time: 0.4242 data_time: 0.0139 memory: 17087 grad_norm: 4.8884 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9851 loss: 1.9851 2022/08/03 12:54:46 - mmengine - INFO - Epoch(train) [17][1040/1879] lr: 1.0000e-02 eta: 2 days, 5:37:42 time: 0.4246 data_time: 0.0148 memory: 17087 grad_norm: 4.7117 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9741 loss: 1.9741 2022/08/03 12:54:54 - mmengine - INFO - Epoch(train) [17][1060/1879] lr: 1.0000e-02 eta: 2 days, 5:37:32 time: 0.4228 data_time: 0.0153 memory: 17087 grad_norm: 4.6755 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8972 loss: 1.8972 2022/08/03 12:55:03 - mmengine - INFO - Epoch(train) [17][1080/1879] lr: 1.0000e-02 eta: 2 days, 5:37:22 time: 0.4237 data_time: 0.0157 memory: 17087 grad_norm: 4.6810 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9971 loss: 1.9971 2022/08/03 12:55:11 - mmengine - INFO - Epoch(train) [17][1100/1879] lr: 1.0000e-02 eta: 2 days, 5:37:11 time: 0.4228 data_time: 0.0133 memory: 17087 grad_norm: 4.9207 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1278 loss: 2.1278 2022/08/03 12:55:20 - mmengine - INFO - Epoch(train) [17][1120/1879] lr: 1.0000e-02 eta: 2 days, 5:37:02 time: 0.4258 data_time: 0.0161 memory: 17087 grad_norm: 4.7231 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7490 loss: 1.7490 2022/08/03 12:55:28 - mmengine - INFO - Epoch(train) [17][1140/1879] lr: 1.0000e-02 eta: 2 days, 5:36:51 time: 0.4228 data_time: 0.0148 memory: 17087 grad_norm: 4.6726 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9651 loss: 1.9651 2022/08/03 12:55:37 - mmengine - INFO - Epoch(train) [17][1160/1879] lr: 1.0000e-02 eta: 2 days, 5:36:47 time: 0.4420 data_time: 0.0160 memory: 17087 grad_norm: 4.7294 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1727 loss: 2.1727 2022/08/03 12:55:47 - mmengine - INFO - Epoch(train) [17][1180/1879] lr: 1.0000e-02 eta: 2 days, 5:37:02 time: 0.5107 data_time: 0.0162 memory: 17087 grad_norm: 4.7923 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0158 loss: 2.0158 2022/08/03 12:55:56 - mmengine - INFO - Epoch(train) [17][1200/1879] lr: 1.0000e-02 eta: 2 days, 5:36:52 time: 0.4252 data_time: 0.0165 memory: 17087 grad_norm: 4.7356 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8369 loss: 1.8369 2022/08/03 12:56:04 - mmengine - INFO - Epoch(train) [17][1220/1879] lr: 1.0000e-02 eta: 2 days, 5:36:42 time: 0.4250 data_time: 0.0145 memory: 17087 grad_norm: 4.6610 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7384 loss: 1.7384 2022/08/03 12:56:13 - mmengine - INFO - Epoch(train) [17][1240/1879] lr: 1.0000e-02 eta: 2 days, 5:36:32 time: 0.4245 data_time: 0.0157 memory: 17087 grad_norm: 4.9472 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.2001 loss: 2.2001 2022/08/03 12:56:21 - mmengine - INFO - Epoch(train) [17][1260/1879] lr: 1.0000e-02 eta: 2 days, 5:36:22 time: 0.4236 data_time: 0.0136 memory: 17087 grad_norm: 4.7392 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8418 loss: 1.8418 2022/08/03 12:56:30 - mmengine - INFO - Epoch(train) [17][1280/1879] lr: 1.0000e-02 eta: 2 days, 5:36:17 time: 0.4426 data_time: 0.0168 memory: 17087 grad_norm: 4.8380 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8794 loss: 1.8794 2022/08/03 12:56:39 - mmengine - INFO - Epoch(train) [17][1300/1879] lr: 1.0000e-02 eta: 2 days, 5:36:07 time: 0.4227 data_time: 0.0136 memory: 17087 grad_norm: 4.7914 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9934 loss: 1.9934 2022/08/03 12:56:47 - mmengine - INFO - Epoch(train) [17][1320/1879] lr: 1.0000e-02 eta: 2 days, 5:36:01 time: 0.4378 data_time: 0.0168 memory: 17087 grad_norm: 4.9684 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1250 loss: 2.1250 2022/08/03 12:56:56 - mmengine - INFO - Epoch(train) [17][1340/1879] lr: 1.0000e-02 eta: 2 days, 5:35:50 time: 0.4226 data_time: 0.0147 memory: 17087 grad_norm: 4.7588 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9496 loss: 1.9496 2022/08/03 12:57:04 - mmengine - INFO - Epoch(train) [17][1360/1879] lr: 1.0000e-02 eta: 2 days, 5:35:40 time: 0.4250 data_time: 0.0152 memory: 17087 grad_norm: 4.6563 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8233 loss: 1.8233 2022/08/03 12:57:13 - mmengine - INFO - Epoch(train) [17][1380/1879] lr: 1.0000e-02 eta: 2 days, 5:35:36 time: 0.4436 data_time: 0.0140 memory: 17087 grad_norm: 4.6937 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9306 loss: 1.9306 2022/08/03 12:57:22 - mmengine - INFO - Epoch(train) [17][1400/1879] lr: 1.0000e-02 eta: 2 days, 5:35:28 time: 0.4328 data_time: 0.0221 memory: 17087 grad_norm: 4.8616 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8570 loss: 1.8570 2022/08/03 12:57:31 - mmengine - INFO - Epoch(train) [17][1420/1879] lr: 1.0000e-02 eta: 2 days, 5:35:23 time: 0.4411 data_time: 0.0134 memory: 17087 grad_norm: 4.7371 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0342 loss: 2.0342 2022/08/03 12:57:39 - mmengine - INFO - Epoch(train) [17][1440/1879] lr: 1.0000e-02 eta: 2 days, 5:35:15 time: 0.4297 data_time: 0.0207 memory: 17087 grad_norm: 4.7370 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1420 loss: 2.1420 2022/08/03 12:57:48 - mmengine - INFO - Epoch(train) [17][1460/1879] lr: 1.0000e-02 eta: 2 days, 5:35:09 time: 0.4384 data_time: 0.0149 memory: 17087 grad_norm: 4.6451 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8844 loss: 1.8844 2022/08/03 12:57:57 - mmengine - INFO - Epoch(train) [17][1480/1879] lr: 1.0000e-02 eta: 2 days, 5:35:00 time: 0.4273 data_time: 0.0204 memory: 17087 grad_norm: 4.7456 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8241 loss: 1.8241 2022/08/03 12:58:05 - mmengine - INFO - Epoch(train) [17][1500/1879] lr: 1.0000e-02 eta: 2 days, 5:34:50 time: 0.4245 data_time: 0.0125 memory: 17087 grad_norm: 4.7977 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0550 loss: 2.0550 2022/08/03 12:58:14 - mmengine - INFO - Epoch(train) [17][1520/1879] lr: 1.0000e-02 eta: 2 days, 5:34:40 time: 0.4248 data_time: 0.0158 memory: 17087 grad_norm: 4.7280 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7661 loss: 1.7661 2022/08/03 12:58:22 - mmengine - INFO - Epoch(train) [17][1540/1879] lr: 1.0000e-02 eta: 2 days, 5:34:30 time: 0.4251 data_time: 0.0132 memory: 17087 grad_norm: 4.6641 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0768 loss: 2.0768 2022/08/03 12:58:31 - mmengine - INFO - Epoch(train) [17][1560/1879] lr: 1.0000e-02 eta: 2 days, 5:34:21 time: 0.4249 data_time: 0.0167 memory: 17087 grad_norm: 4.6895 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9266 loss: 1.9266 2022/08/03 12:58:39 - mmengine - INFO - Epoch(train) [17][1580/1879] lr: 1.0000e-02 eta: 2 days, 5:34:10 time: 0.4235 data_time: 0.0137 memory: 17087 grad_norm: 4.7847 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9077 loss: 1.9077 2022/08/03 12:58:48 - mmengine - INFO - Epoch(train) [17][1600/1879] lr: 1.0000e-02 eta: 2 days, 5:34:01 time: 0.4271 data_time: 0.0161 memory: 17087 grad_norm: 4.7260 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9279 loss: 1.9279 2022/08/03 12:58:56 - mmengine - INFO - Epoch(train) [17][1620/1879] lr: 1.0000e-02 eta: 2 days, 5:33:50 time: 0.4218 data_time: 0.0132 memory: 17087 grad_norm: 4.7482 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8815 loss: 1.8815 2022/08/03 12:59:05 - mmengine - INFO - Epoch(train) [17][1640/1879] lr: 1.0000e-02 eta: 2 days, 5:33:41 time: 0.4260 data_time: 0.0170 memory: 17087 grad_norm: 4.7130 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7636 loss: 1.7636 2022/08/03 12:59:13 - mmengine - INFO - Epoch(train) [17][1660/1879] lr: 1.0000e-02 eta: 2 days, 5:33:32 time: 0.4265 data_time: 0.0161 memory: 17087 grad_norm: 4.7539 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9708 loss: 1.9708 2022/08/03 12:59:22 - mmengine - INFO - Epoch(train) [17][1680/1879] lr: 1.0000e-02 eta: 2 days, 5:33:22 time: 0.4240 data_time: 0.0154 memory: 17087 grad_norm: 4.7480 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0317 loss: 2.0317 2022/08/03 12:59:31 - mmengine - INFO - Epoch(train) [17][1700/1879] lr: 1.0000e-02 eta: 2 days, 5:33:18 time: 0.4458 data_time: 0.0145 memory: 17087 grad_norm: 4.7466 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8915 loss: 1.8915 2022/08/03 12:59:39 - mmengine - INFO - Epoch(train) [17][1720/1879] lr: 1.0000e-02 eta: 2 days, 5:33:08 time: 0.4243 data_time: 0.0150 memory: 17087 grad_norm: 4.8100 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0187 loss: 2.0187 2022/08/03 12:59:48 - mmengine - INFO - Epoch(train) [17][1740/1879] lr: 1.0000e-02 eta: 2 days, 5:32:58 time: 0.4249 data_time: 0.0153 memory: 17087 grad_norm: 4.8063 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1223 loss: 2.1223 2022/08/03 12:59:56 - mmengine - INFO - Epoch(train) [17][1760/1879] lr: 1.0000e-02 eta: 2 days, 5:32:48 time: 0.4250 data_time: 0.0157 memory: 17087 grad_norm: 4.8101 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0316 loss: 2.0316 2022/08/03 13:00:04 - mmengine - INFO - Epoch(train) [17][1780/1879] lr: 1.0000e-02 eta: 2 days, 5:32:38 time: 0.4222 data_time: 0.0142 memory: 17087 grad_norm: 4.8993 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8743 loss: 1.8743 2022/08/03 13:00:13 - mmengine - INFO - Epoch(train) [17][1800/1879] lr: 1.0000e-02 eta: 2 days, 5:32:29 time: 0.4297 data_time: 0.0163 memory: 17087 grad_norm: 4.7528 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1360 loss: 2.1360 2022/08/03 13:00:22 - mmengine - INFO - Epoch(train) [17][1820/1879] lr: 1.0000e-02 eta: 2 days, 5:32:19 time: 0.4228 data_time: 0.0135 memory: 17087 grad_norm: 4.7052 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0497 loss: 2.0497 2022/08/03 13:00:30 - mmengine - INFO - Epoch(train) [17][1840/1879] lr: 1.0000e-02 eta: 2 days, 5:32:11 time: 0.4327 data_time: 0.0156 memory: 17087 grad_norm: 4.6625 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8921 loss: 1.8921 2022/08/03 13:00:39 - mmengine - INFO - Epoch(train) [17][1860/1879] lr: 1.0000e-02 eta: 2 days, 5:32:01 time: 0.4221 data_time: 0.0135 memory: 17087 grad_norm: 4.7551 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0145 loss: 2.0145 2022/08/03 13:00:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:00:46 - mmengine - INFO - Epoch(train) [17][1879/1879] lr: 1.0000e-02 eta: 2 days, 5:32:01 time: 0.4081 data_time: 0.0150 memory: 17087 grad_norm: 4.8190 top1_acc: 0.1429 top5_acc: 0.7143 loss_cls: 1.9416 loss: 1.9416 2022/08/03 13:00:59 - mmengine - INFO - Epoch(train) [18][20/1879] lr: 1.0000e-02 eta: 2 days, 5:30:43 time: 0.6184 data_time: 0.1212 memory: 17087 grad_norm: 4.5974 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9771 loss: 1.9771 2022/08/03 13:01:08 - mmengine - INFO - Epoch(train) [18][40/1879] lr: 1.0000e-02 eta: 2 days, 5:30:38 time: 0.4439 data_time: 0.0167 memory: 17087 grad_norm: 4.6968 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9978 loss: 1.9978 2022/08/03 13:01:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:01:16 - mmengine - INFO - Epoch(train) [18][60/1879] lr: 1.0000e-02 eta: 2 days, 5:30:28 time: 0.4229 data_time: 0.0129 memory: 17087 grad_norm: 4.7323 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9921 loss: 1.9921 2022/08/03 13:01:25 - mmengine - INFO - Epoch(train) [18][80/1879] lr: 1.0000e-02 eta: 2 days, 5:30:18 time: 0.4239 data_time: 0.0167 memory: 17087 grad_norm: 4.7438 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9283 loss: 1.9283 2022/08/03 13:01:33 - mmengine - INFO - Epoch(train) [18][100/1879] lr: 1.0000e-02 eta: 2 days, 5:30:13 time: 0.4417 data_time: 0.0144 memory: 17087 grad_norm: 4.5866 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8903 loss: 1.8903 2022/08/03 13:01:42 - mmengine - INFO - Epoch(train) [18][120/1879] lr: 1.0000e-02 eta: 2 days, 5:30:03 time: 0.4245 data_time: 0.0150 memory: 17087 grad_norm: 4.7194 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9457 loss: 1.9457 2022/08/03 13:01:50 - mmengine - INFO - Epoch(train) [18][140/1879] lr: 1.0000e-02 eta: 2 days, 5:29:53 time: 0.4248 data_time: 0.0133 memory: 17087 grad_norm: 4.7820 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.0250 loss: 2.0250 2022/08/03 13:01:59 - mmengine - INFO - Epoch(train) [18][160/1879] lr: 1.0000e-02 eta: 2 days, 5:29:44 time: 0.4248 data_time: 0.0175 memory: 17087 grad_norm: 4.7996 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8832 loss: 1.8832 2022/08/03 13:02:08 - mmengine - INFO - Epoch(train) [18][180/1879] lr: 1.0000e-02 eta: 2 days, 5:29:40 time: 0.4469 data_time: 0.0139 memory: 17087 grad_norm: 4.8461 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0545 loss: 2.0545 2022/08/03 13:02:16 - mmengine - INFO - Epoch(train) [18][200/1879] lr: 1.0000e-02 eta: 2 days, 5:29:30 time: 0.4247 data_time: 0.0158 memory: 17087 grad_norm: 4.7952 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0086 loss: 2.0086 2022/08/03 13:02:25 - mmengine - INFO - Epoch(train) [18][220/1879] lr: 1.0000e-02 eta: 2 days, 5:29:20 time: 0.4221 data_time: 0.0134 memory: 17087 grad_norm: 4.7569 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8009 loss: 1.8009 2022/08/03 13:02:33 - mmengine - INFO - Epoch(train) [18][240/1879] lr: 1.0000e-02 eta: 2 days, 5:29:12 time: 0.4327 data_time: 0.0148 memory: 17087 grad_norm: 4.7567 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1374 loss: 2.1374 2022/08/03 13:02:42 - mmengine - INFO - Epoch(train) [18][260/1879] lr: 1.0000e-02 eta: 2 days, 5:29:02 time: 0.4233 data_time: 0.0137 memory: 17087 grad_norm: 4.8477 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9678 loss: 1.9678 2022/08/03 13:02:51 - mmengine - INFO - Epoch(train) [18][280/1879] lr: 1.0000e-02 eta: 2 days, 5:28:57 time: 0.4399 data_time: 0.0151 memory: 17087 grad_norm: 4.8000 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0757 loss: 2.0757 2022/08/03 13:02:59 - mmengine - INFO - Epoch(train) [18][300/1879] lr: 1.0000e-02 eta: 2 days, 5:28:47 time: 0.4239 data_time: 0.0143 memory: 17087 grad_norm: 4.6357 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8355 loss: 1.8355 2022/08/03 13:03:08 - mmengine - INFO - Epoch(train) [18][320/1879] lr: 1.0000e-02 eta: 2 days, 5:28:39 time: 0.4317 data_time: 0.0156 memory: 17087 grad_norm: 4.6813 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8832 loss: 1.8832 2022/08/03 13:03:16 - mmengine - INFO - Epoch(train) [18][340/1879] lr: 1.0000e-02 eta: 2 days, 5:28:28 time: 0.4210 data_time: 0.0133 memory: 17087 grad_norm: 4.7439 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0311 loss: 2.0311 2022/08/03 13:03:25 - mmengine - INFO - Epoch(train) [18][360/1879] lr: 1.0000e-02 eta: 2 days, 5:28:18 time: 0.4230 data_time: 0.0141 memory: 17087 grad_norm: 4.7908 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6834 loss: 1.6834 2022/08/03 13:03:33 - mmengine - INFO - Epoch(train) [18][380/1879] lr: 1.0000e-02 eta: 2 days, 5:28:10 time: 0.4319 data_time: 0.0155 memory: 17087 grad_norm: 4.8859 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7881 loss: 1.7881 2022/08/03 13:03:42 - mmengine - INFO - Epoch(train) [18][400/1879] lr: 1.0000e-02 eta: 2 days, 5:28:00 time: 0.4239 data_time: 0.0144 memory: 17087 grad_norm: 4.8544 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7544 loss: 1.7544 2022/08/03 13:03:51 - mmengine - INFO - Epoch(train) [18][420/1879] lr: 1.0000e-02 eta: 2 days, 5:27:52 time: 0.4317 data_time: 0.0151 memory: 17087 grad_norm: 4.5661 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8325 loss: 1.8325 2022/08/03 13:03:59 - mmengine - INFO - Epoch(train) [18][440/1879] lr: 1.0000e-02 eta: 2 days, 5:27:42 time: 0.4246 data_time: 0.0145 memory: 17087 grad_norm: 4.6274 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9997 loss: 1.9997 2022/08/03 13:04:08 - mmengine - INFO - Epoch(train) [18][460/1879] lr: 1.0000e-02 eta: 2 days, 5:27:33 time: 0.4273 data_time: 0.0147 memory: 17087 grad_norm: 4.7033 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9238 loss: 1.9238 2022/08/03 13:04:16 - mmengine - INFO - Epoch(train) [18][480/1879] lr: 1.0000e-02 eta: 2 days, 5:27:23 time: 0.4244 data_time: 0.0151 memory: 17087 grad_norm: 4.8126 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1358 loss: 2.1358 2022/08/03 13:04:25 - mmengine - INFO - Epoch(train) [18][500/1879] lr: 1.0000e-02 eta: 2 days, 5:27:13 time: 0.4231 data_time: 0.0135 memory: 17087 grad_norm: 4.7785 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0250 loss: 2.0250 2022/08/03 13:04:33 - mmengine - INFO - Epoch(train) [18][520/1879] lr: 1.0000e-02 eta: 2 days, 5:27:04 time: 0.4273 data_time: 0.0156 memory: 17087 grad_norm: 4.7801 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8007 loss: 1.8007 2022/08/03 13:04:42 - mmengine - INFO - Epoch(train) [18][540/1879] lr: 1.0000e-02 eta: 2 days, 5:26:56 time: 0.4297 data_time: 0.0135 memory: 17087 grad_norm: 4.7233 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8251 loss: 1.8251 2022/08/03 13:04:50 - mmengine - INFO - Epoch(train) [18][560/1879] lr: 1.0000e-02 eta: 2 days, 5:26:48 time: 0.4331 data_time: 0.0156 memory: 17087 grad_norm: 4.8075 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8951 loss: 1.8951 2022/08/03 13:04:59 - mmengine - INFO - Epoch(train) [18][580/1879] lr: 1.0000e-02 eta: 2 days, 5:26:44 time: 0.4434 data_time: 0.0145 memory: 17087 grad_norm: 4.7135 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8993 loss: 1.8993 2022/08/03 13:05:08 - mmengine - INFO - Epoch(train) [18][600/1879] lr: 1.0000e-02 eta: 2 days, 5:26:37 time: 0.4357 data_time: 0.0195 memory: 17087 grad_norm: 4.7926 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9120 loss: 1.9120 2022/08/03 13:05:16 - mmengine - INFO - Epoch(train) [18][620/1879] lr: 1.0000e-02 eta: 2 days, 5:26:27 time: 0.4245 data_time: 0.0161 memory: 17087 grad_norm: 4.8418 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0549 loss: 2.0549 2022/08/03 13:05:25 - mmengine - INFO - Epoch(train) [18][640/1879] lr: 1.0000e-02 eta: 2 days, 5:26:17 time: 0.4228 data_time: 0.0154 memory: 17087 grad_norm: 4.8588 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9737 loss: 1.9737 2022/08/03 13:05:33 - mmengine - INFO - Epoch(train) [18][660/1879] lr: 1.0000e-02 eta: 2 days, 5:26:07 time: 0.4242 data_time: 0.0140 memory: 17087 grad_norm: 4.7884 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0440 loss: 2.0440 2022/08/03 13:05:42 - mmengine - INFO - Epoch(train) [18][680/1879] lr: 1.0000e-02 eta: 2 days, 5:25:58 time: 0.4263 data_time: 0.0156 memory: 17087 grad_norm: 4.8826 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8680 loss: 1.8680 2022/08/03 13:05:50 - mmengine - INFO - Epoch(train) [18][700/1879] lr: 1.0000e-02 eta: 2 days, 5:25:50 time: 0.4313 data_time: 0.0137 memory: 17087 grad_norm: 4.7736 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9113 loss: 1.9113 2022/08/03 13:05:59 - mmengine - INFO - Epoch(train) [18][720/1879] lr: 1.0000e-02 eta: 2 days, 5:25:40 time: 0.4251 data_time: 0.0170 memory: 17087 grad_norm: 4.8601 top1_acc: 0.4375 top5_acc: 0.4375 loss_cls: 2.0607 loss: 2.0607 2022/08/03 13:06:07 - mmengine - INFO - Epoch(train) [18][740/1879] lr: 1.0000e-02 eta: 2 days, 5:25:30 time: 0.4248 data_time: 0.0148 memory: 17087 grad_norm: 4.8349 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0760 loss: 2.0760 2022/08/03 13:06:16 - mmengine - INFO - Epoch(train) [18][760/1879] lr: 1.0000e-02 eta: 2 days, 5:25:20 time: 0.4235 data_time: 0.0156 memory: 17087 grad_norm: 4.8774 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8544 loss: 1.8544 2022/08/03 13:06:24 - mmengine - INFO - Epoch(train) [18][780/1879] lr: 1.0000e-02 eta: 2 days, 5:25:10 time: 0.4216 data_time: 0.0132 memory: 17087 grad_norm: 4.6858 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0553 loss: 2.0553 2022/08/03 13:06:33 - mmengine - INFO - Epoch(train) [18][800/1879] lr: 1.0000e-02 eta: 2 days, 5:25:03 time: 0.4364 data_time: 0.0169 memory: 17087 grad_norm: 4.8007 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6141 loss: 1.6141 2022/08/03 13:06:42 - mmengine - INFO - Epoch(train) [18][820/1879] lr: 1.0000e-02 eta: 2 days, 5:24:53 time: 0.4239 data_time: 0.0138 memory: 17087 grad_norm: 4.7984 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8795 loss: 1.8795 2022/08/03 13:06:50 - mmengine - INFO - Epoch(train) [18][840/1879] lr: 1.0000e-02 eta: 2 days, 5:24:45 time: 0.4310 data_time: 0.0168 memory: 17087 grad_norm: 4.8715 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9280 loss: 1.9280 2022/08/03 13:06:59 - mmengine - INFO - Epoch(train) [18][860/1879] lr: 1.0000e-02 eta: 2 days, 5:24:35 time: 0.4240 data_time: 0.0143 memory: 17087 grad_norm: 4.8750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6510 loss: 1.6510 2022/08/03 13:07:07 - mmengine - INFO - Epoch(train) [18][880/1879] lr: 1.0000e-02 eta: 2 days, 5:24:29 time: 0.4382 data_time: 0.0164 memory: 17087 grad_norm: 4.8474 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9744 loss: 1.9744 2022/08/03 13:07:16 - mmengine - INFO - Epoch(train) [18][900/1879] lr: 1.0000e-02 eta: 2 days, 5:24:19 time: 0.4240 data_time: 0.0138 memory: 17087 grad_norm: 4.7362 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0330 loss: 2.0330 2022/08/03 13:07:24 - mmengine - INFO - Epoch(train) [18][920/1879] lr: 1.0000e-02 eta: 2 days, 5:24:09 time: 0.4235 data_time: 0.0151 memory: 17087 grad_norm: 4.8034 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9256 loss: 1.9256 2022/08/03 13:07:33 - mmengine - INFO - Epoch(train) [18][940/1879] lr: 1.0000e-02 eta: 2 days, 5:24:01 time: 0.4311 data_time: 0.0155 memory: 17087 grad_norm: 4.8808 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1959 loss: 2.1959 2022/08/03 13:07:42 - mmengine - INFO - Epoch(train) [18][960/1879] lr: 1.0000e-02 eta: 2 days, 5:23:52 time: 0.4281 data_time: 0.0188 memory: 17087 grad_norm: 4.7012 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7828 loss: 1.7828 2022/08/03 13:07:50 - mmengine - INFO - Epoch(train) [18][980/1879] lr: 1.0000e-02 eta: 2 days, 5:23:43 time: 0.4265 data_time: 0.0158 memory: 17087 grad_norm: 4.7489 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0914 loss: 2.0914 2022/08/03 13:07:59 - mmengine - INFO - Epoch(train) [18][1000/1879] lr: 1.0000e-02 eta: 2 days, 5:23:34 time: 0.4259 data_time: 0.0158 memory: 17087 grad_norm: 4.6759 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6588 loss: 1.6588 2022/08/03 13:08:07 - mmengine - INFO - Epoch(train) [18][1020/1879] lr: 1.0000e-02 eta: 2 days, 5:23:28 time: 0.4394 data_time: 0.0138 memory: 17087 grad_norm: 4.7668 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8867 loss: 1.8867 2022/08/03 13:08:16 - mmengine - INFO - Epoch(train) [18][1040/1879] lr: 1.0000e-02 eta: 2 days, 5:23:18 time: 0.4245 data_time: 0.0154 memory: 17087 grad_norm: 4.6860 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9633 loss: 1.9633 2022/08/03 13:08:23 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:08:24 - mmengine - INFO - Epoch(train) [18][1060/1879] lr: 1.0000e-02 eta: 2 days, 5:23:08 time: 0.4240 data_time: 0.0137 memory: 17087 grad_norm: 4.7790 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7836 loss: 1.7836 2022/08/03 13:08:33 - mmengine - INFO - Epoch(train) [18][1080/1879] lr: 1.0000e-02 eta: 2 days, 5:22:59 time: 0.4281 data_time: 0.0165 memory: 17087 grad_norm: 4.7672 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9926 loss: 1.9926 2022/08/03 13:08:42 - mmengine - INFO - Epoch(train) [18][1100/1879] lr: 1.0000e-02 eta: 2 days, 5:22:50 time: 0.4248 data_time: 0.0150 memory: 17087 grad_norm: 4.6234 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0084 loss: 2.0084 2022/08/03 13:08:50 - mmengine - INFO - Epoch(train) [18][1120/1879] lr: 1.0000e-02 eta: 2 days, 5:22:45 time: 0.4438 data_time: 0.0155 memory: 17087 grad_norm: 4.7578 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.8240 loss: 1.8240 2022/08/03 13:08:59 - mmengine - INFO - Epoch(train) [18][1140/1879] lr: 1.0000e-02 eta: 2 days, 5:22:34 time: 0.4217 data_time: 0.0133 memory: 17087 grad_norm: 4.7669 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8751 loss: 1.8751 2022/08/03 13:09:07 - mmengine - INFO - Epoch(train) [18][1160/1879] lr: 1.0000e-02 eta: 2 days, 5:22:26 time: 0.4295 data_time: 0.0157 memory: 17087 grad_norm: 4.7266 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8291 loss: 1.8291 2022/08/03 13:09:16 - mmengine - INFO - Epoch(train) [18][1180/1879] lr: 1.0000e-02 eta: 2 days, 5:22:16 time: 0.4225 data_time: 0.0141 memory: 17087 grad_norm: 4.7358 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0587 loss: 2.0587 2022/08/03 13:09:24 - mmengine - INFO - Epoch(train) [18][1200/1879] lr: 1.0000e-02 eta: 2 days, 5:22:06 time: 0.4240 data_time: 0.0147 memory: 17087 grad_norm: 4.7813 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8740 loss: 1.8740 2022/08/03 13:09:33 - mmengine - INFO - Epoch(train) [18][1220/1879] lr: 1.0000e-02 eta: 2 days, 5:21:56 time: 0.4242 data_time: 0.0143 memory: 17087 grad_norm: 4.7262 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9042 loss: 1.9042 2022/08/03 13:09:41 - mmengine - INFO - Epoch(train) [18][1240/1879] lr: 1.0000e-02 eta: 2 days, 5:21:46 time: 0.4237 data_time: 0.0158 memory: 17087 grad_norm: 4.7334 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9877 loss: 1.9877 2022/08/03 13:09:50 - mmengine - INFO - Epoch(train) [18][1260/1879] lr: 1.0000e-02 eta: 2 days, 5:21:40 time: 0.4392 data_time: 0.0131 memory: 17087 grad_norm: 4.8153 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1721 loss: 2.1721 2022/08/03 13:09:59 - mmengine - INFO - Epoch(train) [18][1280/1879] lr: 1.0000e-02 eta: 2 days, 5:21:31 time: 0.4279 data_time: 0.0197 memory: 17087 grad_norm: 4.6246 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8123 loss: 1.8123 2022/08/03 13:10:08 - mmengine - INFO - Epoch(train) [18][1300/1879] lr: 1.0000e-02 eta: 2 days, 5:21:30 time: 0.4561 data_time: 0.0155 memory: 17087 grad_norm: 4.8264 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0539 loss: 2.0539 2022/08/03 13:10:16 - mmengine - INFO - Epoch(train) [18][1320/1879] lr: 1.0000e-02 eta: 2 days, 5:21:19 time: 0.4219 data_time: 0.0149 memory: 17087 grad_norm: 4.8514 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0702 loss: 2.0702 2022/08/03 13:10:25 - mmengine - INFO - Epoch(train) [18][1340/1879] lr: 1.0000e-02 eta: 2 days, 5:21:11 time: 0.4287 data_time: 0.0161 memory: 17087 grad_norm: 4.6748 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7907 loss: 1.7907 2022/08/03 13:10:34 - mmengine - INFO - Epoch(train) [18][1360/1879] lr: 1.0000e-02 eta: 2 days, 5:21:10 time: 0.4597 data_time: 0.0179 memory: 17087 grad_norm: 4.7636 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9585 loss: 1.9585 2022/08/03 13:10:43 - mmengine - INFO - Epoch(train) [18][1380/1879] lr: 1.0000e-02 eta: 2 days, 5:21:02 time: 0.4285 data_time: 0.0205 memory: 17087 grad_norm: 4.6035 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9082 loss: 1.9082 2022/08/03 13:10:51 - mmengine - INFO - Epoch(train) [18][1400/1879] lr: 1.0000e-02 eta: 2 days, 5:20:57 time: 0.4417 data_time: 0.0190 memory: 17087 grad_norm: 4.6873 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0994 loss: 2.0994 2022/08/03 13:11:00 - mmengine - INFO - Epoch(train) [18][1420/1879] lr: 1.0000e-02 eta: 2 days, 5:20:47 time: 0.4244 data_time: 0.0150 memory: 17087 grad_norm: 4.7859 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8298 loss: 1.8298 2022/08/03 13:11:08 - mmengine - INFO - Epoch(train) [18][1440/1879] lr: 1.0000e-02 eta: 2 days, 5:20:37 time: 0.4253 data_time: 0.0166 memory: 17087 grad_norm: 4.6702 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9454 loss: 1.9454 2022/08/03 13:11:17 - mmengine - INFO - Epoch(train) [18][1460/1879] lr: 1.0000e-02 eta: 2 days, 5:20:27 time: 0.4224 data_time: 0.0140 memory: 17087 grad_norm: 4.8072 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9740 loss: 1.9740 2022/08/03 13:11:25 - mmengine - INFO - Epoch(train) [18][1480/1879] lr: 1.0000e-02 eta: 2 days, 5:20:17 time: 0.4238 data_time: 0.0150 memory: 17087 grad_norm: 4.7769 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9761 loss: 1.9761 2022/08/03 13:11:34 - mmengine - INFO - Epoch(train) [18][1500/1879] lr: 1.0000e-02 eta: 2 days, 5:20:11 time: 0.4404 data_time: 0.0138 memory: 17087 grad_norm: 4.6411 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7914 loss: 1.7914 2022/08/03 13:11:43 - mmengine - INFO - Epoch(train) [18][1520/1879] lr: 1.0000e-02 eta: 2 days, 5:20:03 time: 0.4296 data_time: 0.0210 memory: 17087 grad_norm: 4.6561 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0368 loss: 2.0368 2022/08/03 13:11:51 - mmengine - INFO - Epoch(train) [18][1540/1879] lr: 1.0000e-02 eta: 2 days, 5:19:56 time: 0.4335 data_time: 0.0142 memory: 17087 grad_norm: 4.6977 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8102 loss: 1.8102 2022/08/03 13:12:00 - mmengine - INFO - Epoch(train) [18][1560/1879] lr: 1.0000e-02 eta: 2 days, 5:19:46 time: 0.4265 data_time: 0.0177 memory: 17087 grad_norm: 4.9088 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9379 loss: 1.9379 2022/08/03 13:12:08 - mmengine - INFO - Epoch(train) [18][1580/1879] lr: 1.0000e-02 eta: 2 days, 5:19:37 time: 0.4254 data_time: 0.0142 memory: 17087 grad_norm: 4.9223 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8860 loss: 1.8860 2022/08/03 13:12:17 - mmengine - INFO - Epoch(train) [18][1600/1879] lr: 1.0000e-02 eta: 2 days, 5:19:27 time: 0.4246 data_time: 0.0161 memory: 17087 grad_norm: 4.8883 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9566 loss: 1.9566 2022/08/03 13:12:25 - mmengine - INFO - Epoch(train) [18][1620/1879] lr: 1.0000e-02 eta: 2 days, 5:19:17 time: 0.4233 data_time: 0.0146 memory: 17087 grad_norm: 4.7551 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8810 loss: 1.8810 2022/08/03 13:12:35 - mmengine - INFO - Epoch(train) [18][1640/1879] lr: 1.0000e-02 eta: 2 days, 5:19:16 time: 0.4570 data_time: 0.0171 memory: 17087 grad_norm: 4.7096 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9197 loss: 1.9197 2022/08/03 13:12:43 - mmengine - INFO - Epoch(train) [18][1660/1879] lr: 1.0000e-02 eta: 2 days, 5:19:09 time: 0.4354 data_time: 0.0148 memory: 17087 grad_norm: 4.8215 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9600 loss: 1.9600 2022/08/03 13:12:52 - mmengine - INFO - Epoch(train) [18][1680/1879] lr: 1.0000e-02 eta: 2 days, 5:18:59 time: 0.4236 data_time: 0.0147 memory: 17087 grad_norm: 4.8016 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0535 loss: 2.0535 2022/08/03 13:13:00 - mmengine - INFO - Epoch(train) [18][1700/1879] lr: 1.0000e-02 eta: 2 days, 5:18:50 time: 0.4275 data_time: 0.0171 memory: 17087 grad_norm: 4.7593 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9400 loss: 1.9400 2022/08/03 13:13:09 - mmengine - INFO - Epoch(train) [18][1720/1879] lr: 1.0000e-02 eta: 2 days, 5:18:40 time: 0.4242 data_time: 0.0161 memory: 17087 grad_norm: 4.8624 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1092 loss: 2.1092 2022/08/03 13:13:18 - mmengine - INFO - Epoch(train) [18][1740/1879] lr: 1.0000e-02 eta: 2 days, 5:18:40 time: 0.4625 data_time: 0.0152 memory: 17087 grad_norm: 4.8474 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0447 loss: 2.0447 2022/08/03 13:13:27 - mmengine - INFO - Epoch(train) [18][1760/1879] lr: 1.0000e-02 eta: 2 days, 5:18:31 time: 0.4243 data_time: 0.0152 memory: 17087 grad_norm: 4.9135 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8662 loss: 1.8662 2022/08/03 13:13:35 - mmengine - INFO - Epoch(train) [18][1780/1879] lr: 1.0000e-02 eta: 2 days, 5:18:21 time: 0.4235 data_time: 0.0136 memory: 17087 grad_norm: 4.7971 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1643 loss: 2.1643 2022/08/03 13:13:44 - mmengine - INFO - Epoch(train) [18][1800/1879] lr: 1.0000e-02 eta: 2 days, 5:18:11 time: 0.4272 data_time: 0.0153 memory: 17087 grad_norm: 4.6402 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8902 loss: 1.8902 2022/08/03 13:13:52 - mmengine - INFO - Epoch(train) [18][1820/1879] lr: 1.0000e-02 eta: 2 days, 5:18:01 time: 0.4221 data_time: 0.0125 memory: 17087 grad_norm: 4.7972 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9333 loss: 1.9333 2022/08/03 13:14:01 - mmengine - INFO - Epoch(train) [18][1840/1879] lr: 1.0000e-02 eta: 2 days, 5:17:54 time: 0.4342 data_time: 0.0173 memory: 17087 grad_norm: 4.7818 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8886 loss: 1.8886 2022/08/03 13:14:09 - mmengine - INFO - Epoch(train) [18][1860/1879] lr: 1.0000e-02 eta: 2 days, 5:17:44 time: 0.4241 data_time: 0.0142 memory: 17087 grad_norm: 4.7961 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.2288 loss: 2.2288 2022/08/03 13:14:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:14:17 - mmengine - INFO - Epoch(train) [18][1879/1879] lr: 1.0000e-02 eta: 2 days, 5:17:44 time: 0.4051 data_time: 0.0137 memory: 17087 grad_norm: 4.7942 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.0362 loss: 2.0362 2022/08/03 13:14:28 - mmengine - INFO - Epoch(train) [19][20/1879] lr: 1.0000e-02 eta: 2 days, 5:16:18 time: 0.5732 data_time: 0.1245 memory: 17087 grad_norm: 4.6358 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9865 loss: 1.9865 2022/08/03 13:14:37 - mmengine - INFO - Epoch(train) [19][40/1879] lr: 1.0000e-02 eta: 2 days, 5:16:11 time: 0.4352 data_time: 0.0173 memory: 17087 grad_norm: 4.6493 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 1.8259 loss: 1.8259 2022/08/03 13:14:46 - mmengine - INFO - Epoch(train) [19][60/1879] lr: 1.0000e-02 eta: 2 days, 5:16:01 time: 0.4230 data_time: 0.0138 memory: 17087 grad_norm: 4.7194 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9347 loss: 1.9347 2022/08/03 13:14:54 - mmengine - INFO - Epoch(train) [19][80/1879] lr: 1.0000e-02 eta: 2 days, 5:15:51 time: 0.4256 data_time: 0.0154 memory: 17087 grad_norm: 4.7574 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8927 loss: 1.8927 2022/08/03 13:15:03 - mmengine - INFO - Epoch(train) [19][100/1879] lr: 1.0000e-02 eta: 2 days, 5:15:42 time: 0.4254 data_time: 0.0149 memory: 17087 grad_norm: 4.7370 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8333 loss: 1.8333 2022/08/03 13:15:11 - mmengine - INFO - Epoch(train) [19][120/1879] lr: 1.0000e-02 eta: 2 days, 5:15:32 time: 0.4253 data_time: 0.0163 memory: 17087 grad_norm: 4.8196 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8745 loss: 1.8745 2022/08/03 13:15:20 - mmengine - INFO - Epoch(train) [19][140/1879] lr: 1.0000e-02 eta: 2 days, 5:15:27 time: 0.4425 data_time: 0.0147 memory: 17087 grad_norm: 4.6641 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9353 loss: 1.9353 2022/08/03 13:15:28 - mmengine - INFO - Epoch(train) [19][160/1879] lr: 1.0000e-02 eta: 2 days, 5:15:19 time: 0.4284 data_time: 0.0196 memory: 17087 grad_norm: 4.7920 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8050 loss: 1.8050 2022/08/03 13:15:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:15:37 - mmengine - INFO - Epoch(train) [19][180/1879] lr: 1.0000e-02 eta: 2 days, 5:15:14 time: 0.4451 data_time: 0.0168 memory: 17087 grad_norm: 4.8780 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8634 loss: 1.8634 2022/08/03 13:15:46 - mmengine - INFO - Epoch(train) [19][200/1879] lr: 1.0000e-02 eta: 2 days, 5:15:04 time: 0.4219 data_time: 0.0142 memory: 17087 grad_norm: 4.7126 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9686 loss: 1.9686 2022/08/03 13:15:54 - mmengine - INFO - Epoch(train) [19][220/1879] lr: 1.0000e-02 eta: 2 days, 5:14:55 time: 0.4273 data_time: 0.0125 memory: 17087 grad_norm: 4.8417 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0323 loss: 2.0323 2022/08/03 13:16:03 - mmengine - INFO - Epoch(train) [19][240/1879] lr: 1.0000e-02 eta: 2 days, 5:14:50 time: 0.4442 data_time: 0.0183 memory: 17087 grad_norm: 4.6667 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8029 loss: 1.8029 2022/08/03 13:16:12 - mmengine - INFO - Epoch(train) [19][260/1879] lr: 1.0000e-02 eta: 2 days, 5:14:41 time: 0.4258 data_time: 0.0123 memory: 17087 grad_norm: 4.6419 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8493 loss: 1.8493 2022/08/03 13:16:21 - mmengine - INFO - Epoch(train) [19][280/1879] lr: 1.0000e-02 eta: 2 days, 5:14:37 time: 0.4450 data_time: 0.0174 memory: 17087 grad_norm: 4.7332 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9919 loss: 1.9919 2022/08/03 13:16:29 - mmengine - INFO - Epoch(train) [19][300/1879] lr: 1.0000e-02 eta: 2 days, 5:14:27 time: 0.4265 data_time: 0.0168 memory: 17087 grad_norm: 4.8062 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0510 loss: 2.0510 2022/08/03 13:16:38 - mmengine - INFO - Epoch(train) [19][320/1879] lr: 1.0000e-02 eta: 2 days, 5:14:23 time: 0.4455 data_time: 0.0154 memory: 17087 grad_norm: 4.8897 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8173 loss: 1.8173 2022/08/03 13:16:47 - mmengine - INFO - Epoch(train) [19][340/1879] lr: 1.0000e-02 eta: 2 days, 5:14:13 time: 0.4230 data_time: 0.0137 memory: 17087 grad_norm: 4.8313 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8714 loss: 1.8714 2022/08/03 13:16:55 - mmengine - INFO - Epoch(train) [19][360/1879] lr: 1.0000e-02 eta: 2 days, 5:14:04 time: 0.4257 data_time: 0.0169 memory: 17087 grad_norm: 4.6886 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9485 loss: 1.9485 2022/08/03 13:17:04 - mmengine - INFO - Epoch(train) [19][380/1879] lr: 1.0000e-02 eta: 2 days, 5:13:54 time: 0.4254 data_time: 0.0144 memory: 17087 grad_norm: 4.6565 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8063 loss: 1.8063 2022/08/03 13:17:12 - mmengine - INFO - Epoch(train) [19][400/1879] lr: 1.0000e-02 eta: 2 days, 5:13:45 time: 0.4259 data_time: 0.0162 memory: 17087 grad_norm: 4.8529 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1247 loss: 2.1247 2022/08/03 13:17:21 - mmengine - INFO - Epoch(train) [19][420/1879] lr: 1.0000e-02 eta: 2 days, 5:13:37 time: 0.4321 data_time: 0.0158 memory: 17087 grad_norm: 4.6525 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8200 loss: 1.8200 2022/08/03 13:17:29 - mmengine - INFO - Epoch(train) [19][440/1879] lr: 1.0000e-02 eta: 2 days, 5:13:29 time: 0.4310 data_time: 0.0164 memory: 17087 grad_norm: 4.7933 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9704 loss: 1.9704 2022/08/03 13:17:38 - mmengine - INFO - Epoch(train) [19][460/1879] lr: 1.0000e-02 eta: 2 days, 5:13:24 time: 0.4429 data_time: 0.0145 memory: 17087 grad_norm: 4.8289 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0143 loss: 2.0143 2022/08/03 13:17:47 - mmengine - INFO - Epoch(train) [19][480/1879] lr: 1.0000e-02 eta: 2 days, 5:13:15 time: 0.4266 data_time: 0.0170 memory: 17087 grad_norm: 4.6494 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7357 loss: 1.7357 2022/08/03 13:17:55 - mmengine - INFO - Epoch(train) [19][500/1879] lr: 1.0000e-02 eta: 2 days, 5:13:07 time: 0.4324 data_time: 0.0167 memory: 17087 grad_norm: 4.6643 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8365 loss: 1.8365 2022/08/03 13:18:04 - mmengine - INFO - Epoch(train) [19][520/1879] lr: 1.0000e-02 eta: 2 days, 5:12:57 time: 0.4241 data_time: 0.0143 memory: 17087 grad_norm: 4.6474 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6572 loss: 1.6572 2022/08/03 13:18:12 - mmengine - INFO - Epoch(train) [19][540/1879] lr: 1.0000e-02 eta: 2 days, 5:12:48 time: 0.4263 data_time: 0.0157 memory: 17087 grad_norm: 4.9278 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1799 loss: 2.1799 2022/08/03 13:18:21 - mmengine - INFO - Epoch(train) [19][560/1879] lr: 1.0000e-02 eta: 2 days, 5:12:39 time: 0.4277 data_time: 0.0160 memory: 17087 grad_norm: 4.7926 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9242 loss: 1.9242 2022/08/03 13:18:30 - mmengine - INFO - Epoch(train) [19][580/1879] lr: 1.0000e-02 eta: 2 days, 5:12:30 time: 0.4274 data_time: 0.0173 memory: 17087 grad_norm: 4.8057 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8287 loss: 1.8287 2022/08/03 13:18:38 - mmengine - INFO - Epoch(train) [19][600/1879] lr: 1.0000e-02 eta: 2 days, 5:12:22 time: 0.4320 data_time: 0.0169 memory: 17087 grad_norm: 4.7875 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9001 loss: 1.9001 2022/08/03 13:18:47 - mmengine - INFO - Epoch(train) [19][620/1879] lr: 1.0000e-02 eta: 2 days, 5:12:12 time: 0.4206 data_time: 0.0124 memory: 17087 grad_norm: 4.7094 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1764 loss: 2.1764 2022/08/03 13:18:55 - mmengine - INFO - Epoch(train) [19][640/1879] lr: 1.0000e-02 eta: 2 days, 5:12:02 time: 0.4252 data_time: 0.0157 memory: 17087 grad_norm: 4.7405 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8120 loss: 1.8120 2022/08/03 13:19:04 - mmengine - INFO - Epoch(train) [19][660/1879] lr: 1.0000e-02 eta: 2 days, 5:11:53 time: 0.4250 data_time: 0.0150 memory: 17087 grad_norm: 4.8629 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8152 loss: 1.8152 2022/08/03 13:19:12 - mmengine - INFO - Epoch(train) [19][680/1879] lr: 1.0000e-02 eta: 2 days, 5:11:43 time: 0.4246 data_time: 0.0161 memory: 17087 grad_norm: 4.8533 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8165 loss: 1.8165 2022/08/03 13:19:21 - mmengine - INFO - Epoch(train) [19][700/1879] lr: 1.0000e-02 eta: 2 days, 5:11:37 time: 0.4374 data_time: 0.0138 memory: 17087 grad_norm: 4.7364 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9001 loss: 1.9001 2022/08/03 13:19:29 - mmengine - INFO - Epoch(train) [19][720/1879] lr: 1.0000e-02 eta: 2 days, 5:11:28 time: 0.4281 data_time: 0.0203 memory: 17087 grad_norm: 4.7626 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0182 loss: 2.0182 2022/08/03 13:19:38 - mmengine - INFO - Epoch(train) [19][740/1879] lr: 1.0000e-02 eta: 2 days, 5:11:17 time: 0.4220 data_time: 0.0130 memory: 17087 grad_norm: 4.7731 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8352 loss: 1.8352 2022/08/03 13:19:46 - mmengine - INFO - Epoch(train) [19][760/1879] lr: 1.0000e-02 eta: 2 days, 5:11:07 time: 0.4234 data_time: 0.0159 memory: 17087 grad_norm: 4.7709 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9645 loss: 1.9645 2022/08/03 13:19:55 - mmengine - INFO - Epoch(train) [19][780/1879] lr: 1.0000e-02 eta: 2 days, 5:10:58 time: 0.4271 data_time: 0.0135 memory: 17087 grad_norm: 4.7749 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9140 loss: 1.9140 2022/08/03 13:20:03 - mmengine - INFO - Epoch(train) [19][800/1879] lr: 1.0000e-02 eta: 2 days, 5:10:49 time: 0.4266 data_time: 0.0179 memory: 17087 grad_norm: 4.7396 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0991 loss: 2.0991 2022/08/03 13:20:12 - mmengine - INFO - Epoch(train) [19][820/1879] lr: 1.0000e-02 eta: 2 days, 5:10:41 time: 0.4291 data_time: 0.0148 memory: 17087 grad_norm: 4.7759 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8187 loss: 1.8187 2022/08/03 13:20:21 - mmengine - INFO - Epoch(train) [19][840/1879] lr: 1.0000e-02 eta: 2 days, 5:10:32 time: 0.4268 data_time: 0.0165 memory: 17087 grad_norm: 4.8231 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8143 loss: 1.8143 2022/08/03 13:20:29 - mmengine - INFO - Epoch(train) [19][860/1879] lr: 1.0000e-02 eta: 2 days, 5:10:22 time: 0.4238 data_time: 0.0142 memory: 17087 grad_norm: 4.7364 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0488 loss: 2.0488 2022/08/03 13:20:38 - mmengine - INFO - Epoch(train) [19][880/1879] lr: 1.0000e-02 eta: 2 days, 5:10:16 time: 0.4416 data_time: 0.0156 memory: 17087 grad_norm: 4.8077 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0184 loss: 2.0184 2022/08/03 13:20:46 - mmengine - INFO - Epoch(train) [19][900/1879] lr: 1.0000e-02 eta: 2 days, 5:10:06 time: 0.4216 data_time: 0.0147 memory: 17087 grad_norm: 4.8917 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8172 loss: 1.8172 2022/08/03 13:20:55 - mmengine - INFO - Epoch(train) [19][920/1879] lr: 1.0000e-02 eta: 2 days, 5:09:58 time: 0.4299 data_time: 0.0207 memory: 17087 grad_norm: 4.9444 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0204 loss: 2.0204 2022/08/03 13:21:03 - mmengine - INFO - Epoch(train) [19][940/1879] lr: 1.0000e-02 eta: 2 days, 5:09:47 time: 0.4224 data_time: 0.0131 memory: 17087 grad_norm: 4.8744 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1397 loss: 2.1397 2022/08/03 13:21:12 - mmengine - INFO - Epoch(train) [19][960/1879] lr: 1.0000e-02 eta: 2 days, 5:09:38 time: 0.4257 data_time: 0.0162 memory: 17087 grad_norm: 4.7840 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0626 loss: 2.0626 2022/08/03 13:21:20 - mmengine - INFO - Epoch(train) [19][980/1879] lr: 1.0000e-02 eta: 2 days, 5:09:28 time: 0.4244 data_time: 0.0139 memory: 17087 grad_norm: 4.6422 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8188 loss: 1.8188 2022/08/03 13:21:29 - mmengine - INFO - Epoch(train) [19][1000/1879] lr: 1.0000e-02 eta: 2 days, 5:09:19 time: 0.4267 data_time: 0.0156 memory: 17087 grad_norm: 4.7018 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9149 loss: 1.9149 2022/08/03 13:21:38 - mmengine - INFO - Epoch(train) [19][1020/1879] lr: 1.0000e-02 eta: 2 days, 5:09:13 time: 0.4394 data_time: 0.0142 memory: 17087 grad_norm: 4.8189 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9767 loss: 1.9767 2022/08/03 13:21:46 - mmengine - INFO - Epoch(train) [19][1040/1879] lr: 1.0000e-02 eta: 2 days, 5:09:03 time: 0.4228 data_time: 0.0149 memory: 17087 grad_norm: 4.8134 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0647 loss: 2.0647 2022/08/03 13:21:55 - mmengine - INFO - Epoch(train) [19][1060/1879] lr: 1.0000e-02 eta: 2 days, 5:08:54 time: 0.4281 data_time: 0.0181 memory: 17087 grad_norm: 4.7240 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9856 loss: 1.9856 2022/08/03 13:22:03 - mmengine - INFO - Epoch(train) [19][1080/1879] lr: 1.0000e-02 eta: 2 days, 5:08:45 time: 0.4254 data_time: 0.0149 memory: 17087 grad_norm: 4.7689 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0952 loss: 2.0952 2022/08/03 13:22:12 - mmengine - INFO - Epoch(train) [19][1100/1879] lr: 1.0000e-02 eta: 2 days, 5:08:36 time: 0.4258 data_time: 0.0145 memory: 17087 grad_norm: 4.7468 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8336 loss: 1.8336 2022/08/03 13:22:20 - mmengine - INFO - Epoch(train) [19][1120/1879] lr: 1.0000e-02 eta: 2 days, 5:08:26 time: 0.4260 data_time: 0.0178 memory: 17087 grad_norm: 4.8419 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8366 loss: 1.8366 2022/08/03 13:22:29 - mmengine - INFO - Epoch(train) [19][1140/1879] lr: 1.0000e-02 eta: 2 days, 5:08:17 time: 0.4277 data_time: 0.0157 memory: 17087 grad_norm: 4.7592 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8565 loss: 1.8565 2022/08/03 13:22:37 - mmengine - INFO - Epoch(train) [19][1160/1879] lr: 1.0000e-02 eta: 2 days, 5:08:08 time: 0.4244 data_time: 0.0145 memory: 17087 grad_norm: 4.7313 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.6278 loss: 1.6278 2022/08/03 13:22:45 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:22:46 - mmengine - INFO - Epoch(train) [19][1180/1879] lr: 1.0000e-02 eta: 2 days, 5:08:01 time: 0.4351 data_time: 0.0147 memory: 17087 grad_norm: 4.6911 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9142 loss: 1.9142 2022/08/03 13:22:55 - mmengine - INFO - Epoch(train) [19][1200/1879] lr: 1.0000e-02 eta: 2 days, 5:07:53 time: 0.4323 data_time: 0.0152 memory: 17087 grad_norm: 4.6874 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8268 loss: 1.8268 2022/08/03 13:23:03 - mmengine - INFO - Epoch(train) [19][1220/1879] lr: 1.0000e-02 eta: 2 days, 5:07:43 time: 0.4231 data_time: 0.0141 memory: 17087 grad_norm: 4.8668 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9444 loss: 1.9444 2022/08/03 13:23:12 - mmengine - INFO - Epoch(train) [19][1240/1879] lr: 1.0000e-02 eta: 2 days, 5:07:34 time: 0.4260 data_time: 0.0159 memory: 17087 grad_norm: 4.9342 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9952 loss: 1.9952 2022/08/03 13:23:20 - mmengine - INFO - Epoch(train) [19][1260/1879] lr: 1.0000e-02 eta: 2 days, 5:07:28 time: 0.4386 data_time: 0.0130 memory: 17087 grad_norm: 4.7743 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0039 loss: 2.0039 2022/08/03 13:23:29 - mmengine - INFO - Epoch(train) [19][1280/1879] lr: 1.0000e-02 eta: 2 days, 5:07:19 time: 0.4282 data_time: 0.0195 memory: 17087 grad_norm: 4.7434 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8393 loss: 1.8393 2022/08/03 13:23:37 - mmengine - INFO - Epoch(train) [19][1300/1879] lr: 1.0000e-02 eta: 2 days, 5:07:09 time: 0.4234 data_time: 0.0142 memory: 17087 grad_norm: 4.7381 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7503 loss: 1.7503 2022/08/03 13:23:46 - mmengine - INFO - Epoch(train) [19][1320/1879] lr: 1.0000e-02 eta: 2 days, 5:06:59 time: 0.4253 data_time: 0.0148 memory: 17087 grad_norm: 4.7619 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8253 loss: 1.8253 2022/08/03 13:23:54 - mmengine - INFO - Epoch(train) [19][1340/1879] lr: 1.0000e-02 eta: 2 days, 5:06:49 time: 0.4229 data_time: 0.0130 memory: 17087 grad_norm: 4.7273 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8314 loss: 1.8314 2022/08/03 13:24:03 - mmengine - INFO - Epoch(train) [19][1360/1879] lr: 1.0000e-02 eta: 2 days, 5:06:40 time: 0.4256 data_time: 0.0161 memory: 17087 grad_norm: 4.6963 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7412 loss: 1.7412 2022/08/03 13:24:11 - mmengine - INFO - Epoch(train) [19][1380/1879] lr: 1.0000e-02 eta: 2 days, 5:06:31 time: 0.4259 data_time: 0.0163 memory: 17087 grad_norm: 4.8014 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9025 loss: 1.9025 2022/08/03 13:24:20 - mmengine - INFO - Epoch(train) [19][1400/1879] lr: 1.0000e-02 eta: 2 days, 5:06:24 time: 0.4371 data_time: 0.0157 memory: 17087 grad_norm: 4.7572 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9015 loss: 1.9015 2022/08/03 13:24:29 - mmengine - INFO - Epoch(train) [19][1420/1879] lr: 1.0000e-02 eta: 2 days, 5:06:16 time: 0.4318 data_time: 0.0147 memory: 17087 grad_norm: 4.7257 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9056 loss: 1.9056 2022/08/03 13:24:37 - mmengine - INFO - Epoch(train) [19][1440/1879] lr: 1.0000e-02 eta: 2 days, 5:06:07 time: 0.4244 data_time: 0.0142 memory: 17087 grad_norm: 4.7492 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9574 loss: 1.9574 2022/08/03 13:24:46 - mmengine - INFO - Epoch(train) [19][1460/1879] lr: 1.0000e-02 eta: 2 days, 5:05:57 time: 0.4244 data_time: 0.0157 memory: 17087 grad_norm: 4.7021 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0572 loss: 2.0572 2022/08/03 13:24:54 - mmengine - INFO - Epoch(train) [19][1480/1879] lr: 1.0000e-02 eta: 2 days, 5:05:47 time: 0.4243 data_time: 0.0166 memory: 17087 grad_norm: 4.8750 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.7919 loss: 1.7919 2022/08/03 13:25:03 - mmengine - INFO - Epoch(train) [19][1500/1879] lr: 1.0000e-02 eta: 2 days, 5:05:41 time: 0.4392 data_time: 0.0128 memory: 17087 grad_norm: 4.6866 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9338 loss: 1.9338 2022/08/03 13:25:12 - mmengine - INFO - Epoch(train) [19][1520/1879] lr: 1.0000e-02 eta: 2 days, 5:05:32 time: 0.4285 data_time: 0.0207 memory: 17087 grad_norm: 4.8702 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0466 loss: 2.0466 2022/08/03 13:25:20 - mmengine - INFO - Epoch(train) [19][1540/1879] lr: 1.0000e-02 eta: 2 days, 5:05:23 time: 0.4255 data_time: 0.0142 memory: 17087 grad_norm: 4.7107 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0956 loss: 2.0956 2022/08/03 13:25:30 - mmengine - INFO - Epoch(train) [19][1560/1879] lr: 1.0000e-02 eta: 2 days, 5:05:32 time: 0.4996 data_time: 0.0177 memory: 17087 grad_norm: 4.7766 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8878 loss: 1.8878 2022/08/03 13:25:39 - mmengine - INFO - Epoch(train) [19][1580/1879] lr: 1.0000e-02 eta: 2 days, 5:05:26 time: 0.4368 data_time: 0.0137 memory: 17087 grad_norm: 4.8638 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9259 loss: 1.9259 2022/08/03 13:25:47 - mmengine - INFO - Epoch(train) [19][1600/1879] lr: 1.0000e-02 eta: 2 days, 5:05:16 time: 0.4236 data_time: 0.0153 memory: 17087 grad_norm: 4.6975 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7471 loss: 1.7471 2022/08/03 13:25:56 - mmengine - INFO - Epoch(train) [19][1620/1879] lr: 1.0000e-02 eta: 2 days, 5:05:07 time: 0.4298 data_time: 0.0166 memory: 17087 grad_norm: 4.7805 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7903 loss: 1.7903 2022/08/03 13:26:04 - mmengine - INFO - Epoch(train) [19][1640/1879] lr: 1.0000e-02 eta: 2 days, 5:04:57 time: 0.4225 data_time: 0.0146 memory: 17087 grad_norm: 4.7098 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1035 loss: 2.1035 2022/08/03 13:26:13 - mmengine - INFO - Epoch(train) [19][1660/1879] lr: 1.0000e-02 eta: 2 days, 5:04:48 time: 0.4263 data_time: 0.0161 memory: 17087 grad_norm: 4.7531 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0637 loss: 2.0637 2022/08/03 13:26:21 - mmengine - INFO - Epoch(train) [19][1680/1879] lr: 1.0000e-02 eta: 2 days, 5:04:38 time: 0.4241 data_time: 0.0146 memory: 17087 grad_norm: 4.8209 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8204 loss: 1.8204 2022/08/03 13:26:30 - mmengine - INFO - Epoch(train) [19][1700/1879] lr: 1.0000e-02 eta: 2 days, 5:04:30 time: 0.4297 data_time: 0.0151 memory: 17087 grad_norm: 4.7980 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1950 loss: 2.1950 2022/08/03 13:26:39 - mmengine - INFO - Epoch(train) [19][1720/1879] lr: 1.0000e-02 eta: 2 days, 5:04:20 time: 0.4251 data_time: 0.0157 memory: 17087 grad_norm: 4.7741 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9609 loss: 1.9609 2022/08/03 13:26:47 - mmengine - INFO - Epoch(train) [19][1740/1879] lr: 1.0000e-02 eta: 2 days, 5:04:10 time: 0.4201 data_time: 0.0137 memory: 17087 grad_norm: 4.7262 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9494 loss: 1.9494 2022/08/03 13:26:56 - mmengine - INFO - Epoch(train) [19][1760/1879] lr: 1.0000e-02 eta: 2 days, 5:04:03 time: 0.4371 data_time: 0.0162 memory: 17087 grad_norm: 4.7222 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8732 loss: 1.8732 2022/08/03 13:27:04 - mmengine - INFO - Epoch(train) [19][1780/1879] lr: 1.0000e-02 eta: 2 days, 5:03:53 time: 0.4245 data_time: 0.0146 memory: 17087 grad_norm: 4.8360 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1250 loss: 2.1250 2022/08/03 13:27:13 - mmengine - INFO - Epoch(train) [19][1800/1879] lr: 1.0000e-02 eta: 2 days, 5:03:45 time: 0.4318 data_time: 0.0181 memory: 17087 grad_norm: 4.7125 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7993 loss: 1.7993 2022/08/03 13:27:22 - mmengine - INFO - Epoch(train) [19][1820/1879] lr: 1.0000e-02 eta: 2 days, 5:03:39 time: 0.4353 data_time: 0.0127 memory: 17087 grad_norm: 4.8098 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 1.9644 loss: 1.9644 2022/08/03 13:27:30 - mmengine - INFO - Epoch(train) [19][1840/1879] lr: 1.0000e-02 eta: 2 days, 5:03:31 time: 0.4324 data_time: 0.0164 memory: 17087 grad_norm: 4.6492 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0570 loss: 2.0570 2022/08/03 13:27:39 - mmengine - INFO - Epoch(train) [19][1860/1879] lr: 1.0000e-02 eta: 2 days, 5:03:22 time: 0.4269 data_time: 0.0141 memory: 17087 grad_norm: 4.6642 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0606 loss: 2.0606 2022/08/03 13:27:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:27:46 - mmengine - INFO - Epoch(train) [19][1879/1879] lr: 1.0000e-02 eta: 2 days, 5:03:22 time: 0.4060 data_time: 0.0143 memory: 17087 grad_norm: 4.7858 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.7712 loss: 1.7712 2022/08/03 13:27:58 - mmengine - INFO - Epoch(train) [20][20/1879] lr: 1.0000e-02 eta: 2 days, 5:01:56 time: 0.5581 data_time: 0.1385 memory: 17087 grad_norm: 4.7587 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8338 loss: 1.8338 2022/08/03 13:28:06 - mmengine - INFO - Epoch(train) [20][40/1879] lr: 1.0000e-02 eta: 2 days, 5:01:47 time: 0.4270 data_time: 0.0169 memory: 17087 grad_norm: 4.7648 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8625 loss: 1.8625 2022/08/03 13:28:15 - mmengine - INFO - Epoch(train) [20][60/1879] lr: 1.0000e-02 eta: 2 days, 5:01:37 time: 0.4263 data_time: 0.0148 memory: 17087 grad_norm: 4.6536 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8828 loss: 1.8828 2022/08/03 13:28:23 - mmengine - INFO - Epoch(train) [20][80/1879] lr: 1.0000e-02 eta: 2 days, 5:01:28 time: 0.4260 data_time: 0.0176 memory: 17087 grad_norm: 4.8139 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9039 loss: 1.9039 2022/08/03 13:28:32 - mmengine - INFO - Epoch(train) [20][100/1879] lr: 1.0000e-02 eta: 2 days, 5:01:19 time: 0.4249 data_time: 0.0133 memory: 17087 grad_norm: 4.8399 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8954 loss: 1.8954 2022/08/03 13:28:40 - mmengine - INFO - Epoch(train) [20][120/1879] lr: 1.0000e-02 eta: 2 days, 5:01:10 time: 0.4263 data_time: 0.0168 memory: 17087 grad_norm: 4.8069 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0653 loss: 2.0653 2022/08/03 13:28:49 - mmengine - INFO - Epoch(train) [20][140/1879] lr: 1.0000e-02 eta: 2 days, 5:01:03 time: 0.4374 data_time: 0.0151 memory: 17087 grad_norm: 4.8119 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8065 loss: 1.8065 2022/08/03 13:28:58 - mmengine - INFO - Epoch(train) [20][160/1879] lr: 1.0000e-02 eta: 2 days, 5:00:53 time: 0.4236 data_time: 0.0163 memory: 17087 grad_norm: 4.6709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8742 loss: 1.8742 2022/08/03 13:29:06 - mmengine - INFO - Epoch(train) [20][180/1879] lr: 1.0000e-02 eta: 2 days, 5:00:45 time: 0.4288 data_time: 0.0202 memory: 17087 grad_norm: 4.7206 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6354 loss: 1.6354 2022/08/03 13:29:15 - mmengine - INFO - Epoch(train) [20][200/1879] lr: 1.0000e-02 eta: 2 days, 5:00:37 time: 0.4330 data_time: 0.0150 memory: 17087 grad_norm: 4.6977 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7963 loss: 1.7963 2022/08/03 13:29:23 - mmengine - INFO - Epoch(train) [20][220/1879] lr: 1.0000e-02 eta: 2 days, 5:00:28 time: 0.4264 data_time: 0.0175 memory: 17087 grad_norm: 4.7217 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9036 loss: 1.9036 2022/08/03 13:29:32 - mmengine - INFO - Epoch(train) [20][240/1879] lr: 1.0000e-02 eta: 2 days, 5:00:24 time: 0.4481 data_time: 0.0158 memory: 17087 grad_norm: 4.7182 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8022 loss: 1.8022 2022/08/03 13:29:41 - mmengine - INFO - Epoch(train) [20][260/1879] lr: 1.0000e-02 eta: 2 days, 5:00:14 time: 0.4227 data_time: 0.0130 memory: 17087 grad_norm: 4.8689 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9363 loss: 1.9363 2022/08/03 13:29:50 - mmengine - INFO - Epoch(train) [20][280/1879] lr: 1.0000e-02 eta: 2 days, 5:00:11 time: 0.4501 data_time: 0.0180 memory: 17087 grad_norm: 4.8161 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8268 loss: 1.8268 2022/08/03 13:29:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:29:58 - mmengine - INFO - Epoch(train) [20][300/1879] lr: 1.0000e-02 eta: 2 days, 5:00:01 time: 0.4228 data_time: 0.0148 memory: 17087 grad_norm: 4.7909 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9732 loss: 1.9732 2022/08/03 13:30:07 - mmengine - INFO - Epoch(train) [20][320/1879] lr: 1.0000e-02 eta: 2 days, 4:59:51 time: 0.4253 data_time: 0.0148 memory: 17087 grad_norm: 4.9285 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6736 loss: 1.6736 2022/08/03 13:30:16 - mmengine - INFO - Epoch(train) [20][340/1879] lr: 1.0000e-02 eta: 2 days, 4:59:47 time: 0.4462 data_time: 0.0145 memory: 17087 grad_norm: 4.6827 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9347 loss: 1.9347 2022/08/03 13:30:24 - mmengine - INFO - Epoch(train) [20][360/1879] lr: 1.0000e-02 eta: 2 days, 4:59:37 time: 0.4243 data_time: 0.0147 memory: 17087 grad_norm: 4.7567 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9759 loss: 1.9759 2022/08/03 13:30:33 - mmengine - INFO - Epoch(train) [20][380/1879] lr: 1.0000e-02 eta: 2 days, 4:59:28 time: 0.4253 data_time: 0.0158 memory: 17087 grad_norm: 4.6782 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8278 loss: 1.8278 2022/08/03 13:30:41 - mmengine - INFO - Epoch(train) [20][400/1879] lr: 1.0000e-02 eta: 2 days, 4:59:18 time: 0.4238 data_time: 0.0158 memory: 17087 grad_norm: 5.0003 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9663 loss: 1.9663 2022/08/03 13:30:50 - mmengine - INFO - Epoch(train) [20][420/1879] lr: 1.0000e-02 eta: 2 days, 4:59:14 time: 0.4445 data_time: 0.0142 memory: 17087 grad_norm: 4.7009 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8742 loss: 1.8742 2022/08/03 13:30:59 - mmengine - INFO - Epoch(train) [20][440/1879] lr: 1.0000e-02 eta: 2 days, 4:59:08 time: 0.4390 data_time: 0.0183 memory: 17087 grad_norm: 4.7211 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7568 loss: 1.7568 2022/08/03 13:31:07 - mmengine - INFO - Epoch(train) [20][460/1879] lr: 1.0000e-02 eta: 2 days, 4:58:58 time: 0.4239 data_time: 0.0167 memory: 17087 grad_norm: 4.5889 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7833 loss: 1.7833 2022/08/03 13:31:16 - mmengine - INFO - Epoch(train) [20][480/1879] lr: 1.0000e-02 eta: 2 days, 4:58:53 time: 0.4446 data_time: 0.0160 memory: 17087 grad_norm: 4.8263 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.1259 loss: 2.1259 2022/08/03 13:31:25 - mmengine - INFO - Epoch(train) [20][500/1879] lr: 1.0000e-02 eta: 2 days, 4:58:43 time: 0.4226 data_time: 0.0159 memory: 17087 grad_norm: 4.7654 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9696 loss: 1.9696 2022/08/03 13:31:34 - mmengine - INFO - Epoch(train) [20][520/1879] lr: 1.0000e-02 eta: 2 days, 4:58:40 time: 0.4506 data_time: 0.0215 memory: 17087 grad_norm: 4.5963 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8705 loss: 1.8705 2022/08/03 13:31:42 - mmengine - INFO - Epoch(train) [20][540/1879] lr: 1.0000e-02 eta: 2 days, 4:58:30 time: 0.4236 data_time: 0.0171 memory: 17087 grad_norm: 4.5792 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7438 loss: 1.7438 2022/08/03 13:31:51 - mmengine - INFO - Epoch(train) [20][560/1879] lr: 1.0000e-02 eta: 2 days, 4:58:21 time: 0.4285 data_time: 0.0162 memory: 17087 grad_norm: 4.7969 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7817 loss: 1.7817 2022/08/03 13:31:59 - mmengine - INFO - Epoch(train) [20][580/1879] lr: 1.0000e-02 eta: 2 days, 4:58:11 time: 0.4230 data_time: 0.0141 memory: 17087 grad_norm: 4.7936 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8501 loss: 1.8501 2022/08/03 13:32:08 - mmengine - INFO - Epoch(train) [20][600/1879] lr: 1.0000e-02 eta: 2 days, 4:58:06 time: 0.4427 data_time: 0.0153 memory: 17087 grad_norm: 4.7748 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7710 loss: 1.7710 2022/08/03 13:32:16 - mmengine - INFO - Epoch(train) [20][620/1879] lr: 1.0000e-02 eta: 2 days, 4:57:56 time: 0.4208 data_time: 0.0131 memory: 17087 grad_norm: 4.9063 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8329 loss: 1.8329 2022/08/03 13:32:25 - mmengine - INFO - Epoch(train) [20][640/1879] lr: 1.0000e-02 eta: 2 days, 4:57:48 time: 0.4329 data_time: 0.0183 memory: 17087 grad_norm: 4.7819 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8240 loss: 1.8240 2022/08/03 13:32:34 - mmengine - INFO - Epoch(train) [20][660/1879] lr: 1.0000e-02 eta: 2 days, 4:57:41 time: 0.4368 data_time: 0.0146 memory: 17087 grad_norm: 4.8693 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9754 loss: 1.9754 2022/08/03 13:32:42 - mmengine - INFO - Epoch(train) [20][680/1879] lr: 1.0000e-02 eta: 2 days, 4:57:34 time: 0.4347 data_time: 0.0160 memory: 17087 grad_norm: 4.7157 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9726 loss: 1.9726 2022/08/03 13:32:51 - mmengine - INFO - Epoch(train) [20][700/1879] lr: 1.0000e-02 eta: 2 days, 4:57:25 time: 0.4245 data_time: 0.0144 memory: 17087 grad_norm: 4.9700 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9530 loss: 1.9530 2022/08/03 13:33:00 - mmengine - INFO - Epoch(train) [20][720/1879] lr: 1.0000e-02 eta: 2 days, 4:57:16 time: 0.4279 data_time: 0.0156 memory: 17087 grad_norm: 4.6533 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8573 loss: 1.8573 2022/08/03 13:33:08 - mmengine - INFO - Epoch(train) [20][740/1879] lr: 1.0000e-02 eta: 2 days, 4:57:06 time: 0.4234 data_time: 0.0151 memory: 17087 grad_norm: 4.8987 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8912 loss: 1.8912 2022/08/03 13:33:17 - mmengine - INFO - Epoch(train) [20][760/1879] lr: 1.0000e-02 eta: 2 days, 4:57:00 time: 0.4409 data_time: 0.0163 memory: 17087 grad_norm: 4.7321 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7880 loss: 1.7880 2022/08/03 13:33:25 - mmengine - INFO - Epoch(train) [20][780/1879] lr: 1.0000e-02 eta: 2 days, 4:56:51 time: 0.4233 data_time: 0.0150 memory: 17087 grad_norm: 4.8211 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8174 loss: 1.8174 2022/08/03 13:33:34 - mmengine - INFO - Epoch(train) [20][800/1879] lr: 1.0000e-02 eta: 2 days, 4:56:46 time: 0.4461 data_time: 0.0160 memory: 17087 grad_norm: 4.7066 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7338 loss: 1.7338 2022/08/03 13:33:43 - mmengine - INFO - Epoch(train) [20][820/1879] lr: 1.0000e-02 eta: 2 days, 4:56:36 time: 0.4237 data_time: 0.0146 memory: 17087 grad_norm: 4.7594 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0818 loss: 2.0818 2022/08/03 13:33:51 - mmengine - INFO - Epoch(train) [20][840/1879] lr: 1.0000e-02 eta: 2 days, 4:56:27 time: 0.4258 data_time: 0.0163 memory: 17087 grad_norm: 4.8671 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8947 loss: 1.8947 2022/08/03 13:34:00 - mmengine - INFO - Epoch(train) [20][860/1879] lr: 1.0000e-02 eta: 2 days, 4:56:18 time: 0.4253 data_time: 0.0151 memory: 17087 grad_norm: 4.9142 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7396 loss: 1.7396 2022/08/03 13:34:08 - mmengine - INFO - Epoch(train) [20][880/1879] lr: 1.0000e-02 eta: 2 days, 4:56:08 time: 0.4230 data_time: 0.0146 memory: 17087 grad_norm: 4.8950 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1818 loss: 2.1818 2022/08/03 13:34:17 - mmengine - INFO - Epoch(train) [20][900/1879] lr: 1.0000e-02 eta: 2 days, 4:56:04 time: 0.4477 data_time: 0.0216 memory: 17087 grad_norm: 4.8534 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8211 loss: 1.8211 2022/08/03 13:34:26 - mmengine - INFO - Epoch(train) [20][920/1879] lr: 1.0000e-02 eta: 2 days, 4:55:55 time: 0.4264 data_time: 0.0148 memory: 17087 grad_norm: 4.7440 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8994 loss: 1.8994 2022/08/03 13:34:34 - mmengine - INFO - Epoch(train) [20][940/1879] lr: 1.0000e-02 eta: 2 days, 4:55:46 time: 0.4292 data_time: 0.0137 memory: 17087 grad_norm: 4.7026 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0511 loss: 2.0511 2022/08/03 13:34:43 - mmengine - INFO - Epoch(train) [20][960/1879] lr: 1.0000e-02 eta: 2 days, 4:55:36 time: 0.4238 data_time: 0.0157 memory: 17087 grad_norm: 4.7806 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8179 loss: 1.8179 2022/08/03 13:34:52 - mmengine - INFO - Epoch(train) [20][980/1879] lr: 1.0000e-02 eta: 2 days, 4:55:31 time: 0.4421 data_time: 0.0157 memory: 17087 grad_norm: 4.7062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9424 loss: 1.9424 2022/08/03 13:35:00 - mmengine - INFO - Epoch(train) [20][1000/1879] lr: 1.0000e-02 eta: 2 days, 4:55:21 time: 0.4234 data_time: 0.0150 memory: 17087 grad_norm: 4.7087 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8617 loss: 1.8617 2022/08/03 13:35:09 - mmengine - INFO - Epoch(train) [20][1020/1879] lr: 1.0000e-02 eta: 2 days, 4:55:12 time: 0.4272 data_time: 0.0142 memory: 17087 grad_norm: 4.8788 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9004 loss: 1.9004 2022/08/03 13:35:17 - mmengine - INFO - Epoch(train) [20][1040/1879] lr: 1.0000e-02 eta: 2 days, 4:55:07 time: 0.4440 data_time: 0.0156 memory: 17087 grad_norm: 4.8842 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7854 loss: 1.7854 2022/08/03 13:35:26 - mmengine - INFO - Epoch(train) [20][1060/1879] lr: 1.0000e-02 eta: 2 days, 4:54:57 time: 0.4214 data_time: 0.0131 memory: 17087 grad_norm: 4.7842 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8140 loss: 1.8140 2022/08/03 13:35:35 - mmengine - INFO - Epoch(train) [20][1080/1879] lr: 1.0000e-02 eta: 2 days, 4:54:49 time: 0.4329 data_time: 0.0160 memory: 17087 grad_norm: 4.8441 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8308 loss: 1.8308 2022/08/03 13:35:43 - mmengine - INFO - Epoch(train) [20][1100/1879] lr: 1.0000e-02 eta: 2 days, 4:54:39 time: 0.4225 data_time: 0.0152 memory: 17087 grad_norm: 4.6375 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7395 loss: 1.7395 2022/08/03 13:35:52 - mmengine - INFO - Epoch(train) [20][1120/1879] lr: 1.0000e-02 eta: 2 days, 4:54:32 time: 0.4361 data_time: 0.0160 memory: 17087 grad_norm: 4.8417 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9388 loss: 1.9388 2022/08/03 13:36:00 - mmengine - INFO - Epoch(train) [20][1140/1879] lr: 1.0000e-02 eta: 2 days, 4:54:23 time: 0.4251 data_time: 0.0151 memory: 17087 grad_norm: 4.8323 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8849 loss: 1.8849 2022/08/03 13:36:09 - mmengine - INFO - Epoch(train) [20][1160/1879] lr: 1.0000e-02 eta: 2 days, 4:54:16 time: 0.4348 data_time: 0.0161 memory: 17087 grad_norm: 4.8214 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7065 loss: 1.7065 2022/08/03 13:36:17 - mmengine - INFO - Epoch(train) [20][1180/1879] lr: 1.0000e-02 eta: 2 days, 4:54:06 time: 0.4229 data_time: 0.0129 memory: 17087 grad_norm: 4.6271 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6559 loss: 1.6559 2022/08/03 13:36:26 - mmengine - INFO - Epoch(train) [20][1200/1879] lr: 1.0000e-02 eta: 2 days, 4:53:56 time: 0.4240 data_time: 0.0149 memory: 17087 grad_norm: 4.7338 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8136 loss: 1.8136 2022/08/03 13:36:34 - mmengine - INFO - Epoch(train) [20][1220/1879] lr: 1.0000e-02 eta: 2 days, 4:53:46 time: 0.4240 data_time: 0.0144 memory: 17087 grad_norm: 4.6617 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8716 loss: 1.8716 2022/08/03 13:36:43 - mmengine - INFO - Epoch(train) [20][1240/1879] lr: 1.0000e-02 eta: 2 days, 4:53:37 time: 0.4240 data_time: 0.0170 memory: 17087 grad_norm: 4.8357 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1061 loss: 2.1061 2022/08/03 13:36:51 - mmengine - INFO - Epoch(train) [20][1260/1879] lr: 1.0000e-02 eta: 2 days, 4:53:28 time: 0.4287 data_time: 0.0166 memory: 17087 grad_norm: 4.7675 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6760 loss: 1.6760 2022/08/03 13:37:00 - mmengine - INFO - Epoch(train) [20][1280/1879] lr: 1.0000e-02 eta: 2 days, 4:53:19 time: 0.4291 data_time: 0.0199 memory: 17087 grad_norm: 4.6980 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0326 loss: 2.0326 2022/08/03 13:37:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:37:08 - mmengine - INFO - Epoch(train) [20][1300/1879] lr: 1.0000e-02 eta: 2 days, 4:53:09 time: 0.4230 data_time: 0.0146 memory: 17087 grad_norm: 4.7011 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8444 loss: 1.8444 2022/08/03 13:37:17 - mmengine - INFO - Epoch(train) [20][1320/1879] lr: 1.0000e-02 eta: 2 days, 4:53:00 time: 0.4261 data_time: 0.0149 memory: 17087 grad_norm: 4.7704 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9440 loss: 1.9440 2022/08/03 13:37:26 - mmengine - INFO - Epoch(train) [20][1340/1879] lr: 1.0000e-02 eta: 2 days, 4:52:52 time: 0.4299 data_time: 0.0153 memory: 17087 grad_norm: 4.8445 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9819 loss: 1.9819 2022/08/03 13:37:34 - mmengine - INFO - Epoch(train) [20][1360/1879] lr: 1.0000e-02 eta: 2 days, 4:52:43 time: 0.4262 data_time: 0.0154 memory: 17087 grad_norm: 4.7950 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8606 loss: 1.8606 2022/08/03 13:37:43 - mmengine - INFO - Epoch(train) [20][1380/1879] lr: 1.0000e-02 eta: 2 days, 4:52:34 time: 0.4276 data_time: 0.0179 memory: 17087 grad_norm: 4.7386 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0023 loss: 2.0023 2022/08/03 13:37:51 - mmengine - INFO - Epoch(train) [20][1400/1879] lr: 1.0000e-02 eta: 2 days, 4:52:27 time: 0.4357 data_time: 0.0154 memory: 17087 grad_norm: 4.7240 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0943 loss: 2.0943 2022/08/03 13:38:00 - mmengine - INFO - Epoch(train) [20][1420/1879] lr: 1.0000e-02 eta: 2 days, 4:52:18 time: 0.4269 data_time: 0.0161 memory: 17087 grad_norm: 4.8535 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9438 loss: 1.9438 2022/08/03 13:38:08 - mmengine - INFO - Epoch(train) [20][1440/1879] lr: 1.0000e-02 eta: 2 days, 4:52:09 time: 0.4255 data_time: 0.0149 memory: 17087 grad_norm: 4.7615 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8230 loss: 1.8230 2022/08/03 13:38:17 - mmengine - INFO - Epoch(train) [20][1460/1879] lr: 1.0000e-02 eta: 2 days, 4:51:59 time: 0.4249 data_time: 0.0142 memory: 17087 grad_norm: 4.7308 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7475 loss: 1.7475 2022/08/03 13:38:26 - mmengine - INFO - Epoch(train) [20][1480/1879] lr: 1.0000e-02 eta: 2 days, 4:51:51 time: 0.4330 data_time: 0.0167 memory: 17087 grad_norm: 4.7604 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6515 loss: 1.6515 2022/08/03 13:38:34 - mmengine - INFO - Epoch(train) [20][1500/1879] lr: 1.0000e-02 eta: 2 days, 4:51:42 time: 0.4258 data_time: 0.0152 memory: 17087 grad_norm: 4.6583 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7748 loss: 1.7748 2022/08/03 13:38:43 - mmengine - INFO - Epoch(train) [20][1520/1879] lr: 1.0000e-02 eta: 2 days, 4:51:38 time: 0.4454 data_time: 0.0156 memory: 17087 grad_norm: 4.7183 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8087 loss: 1.8087 2022/08/03 13:38:52 - mmengine - INFO - Epoch(train) [20][1540/1879] lr: 1.0000e-02 eta: 2 days, 4:51:29 time: 0.4291 data_time: 0.0171 memory: 17087 grad_norm: 4.8415 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0963 loss: 2.0963 2022/08/03 13:39:01 - mmengine - INFO - Epoch(train) [20][1560/1879] lr: 1.0000e-02 eta: 2 days, 4:51:24 time: 0.4453 data_time: 0.0169 memory: 17087 grad_norm: 4.7844 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7722 loss: 1.7722 2022/08/03 13:39:09 - mmengine - INFO - Epoch(train) [20][1580/1879] lr: 1.0000e-02 eta: 2 days, 4:51:15 time: 0.4251 data_time: 0.0132 memory: 17087 grad_norm: 4.8980 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8347 loss: 1.8347 2022/08/03 13:39:18 - mmengine - INFO - Epoch(train) [20][1600/1879] lr: 1.0000e-02 eta: 2 days, 4:51:05 time: 0.4242 data_time: 0.0158 memory: 17087 grad_norm: 4.9368 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0606 loss: 2.0606 2022/08/03 13:39:26 - mmengine - INFO - Epoch(train) [20][1620/1879] lr: 1.0000e-02 eta: 2 days, 4:51:00 time: 0.4425 data_time: 0.0139 memory: 17087 grad_norm: 4.8150 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.0184 loss: 2.0184 2022/08/03 13:39:35 - mmengine - INFO - Epoch(train) [20][1640/1879] lr: 1.0000e-02 eta: 2 days, 4:50:51 time: 0.4270 data_time: 0.0171 memory: 17087 grad_norm: 4.7850 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8107 loss: 1.8107 2022/08/03 13:39:43 - mmengine - INFO - Epoch(train) [20][1660/1879] lr: 1.0000e-02 eta: 2 days, 4:50:41 time: 0.4248 data_time: 0.0151 memory: 17087 grad_norm: 4.8044 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7676 loss: 1.7676 2022/08/03 13:39:52 - mmengine - INFO - Epoch(train) [20][1680/1879] lr: 1.0000e-02 eta: 2 days, 4:50:33 time: 0.4286 data_time: 0.0181 memory: 17087 grad_norm: 4.6349 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9810 loss: 1.9810 2022/08/03 13:40:00 - mmengine - INFO - Epoch(train) [20][1700/1879] lr: 1.0000e-02 eta: 2 days, 4:50:23 time: 0.4232 data_time: 0.0146 memory: 17087 grad_norm: 4.8247 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7436 loss: 1.7436 2022/08/03 13:40:09 - mmengine - INFO - Epoch(train) [20][1720/1879] lr: 1.0000e-02 eta: 2 days, 4:50:14 time: 0.4263 data_time: 0.0152 memory: 17087 grad_norm: 4.7378 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9453 loss: 1.9453 2022/08/03 13:40:17 - mmengine - INFO - Epoch(train) [20][1740/1879] lr: 1.0000e-02 eta: 2 days, 4:50:04 time: 0.4228 data_time: 0.0134 memory: 17087 grad_norm: 4.6368 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9497 loss: 1.9497 2022/08/03 13:40:26 - mmengine - INFO - Epoch(train) [20][1760/1879] lr: 1.0000e-02 eta: 2 days, 4:49:54 time: 0.4250 data_time: 0.0165 memory: 17087 grad_norm: 4.7343 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8346 loss: 1.8346 2022/08/03 13:40:35 - mmengine - INFO - Epoch(train) [20][1780/1879] lr: 1.0000e-02 eta: 2 days, 4:49:49 time: 0.4413 data_time: 0.0151 memory: 17087 grad_norm: 4.8572 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8654 loss: 1.8654 2022/08/03 13:40:43 - mmengine - INFO - Epoch(train) [20][1800/1879] lr: 1.0000e-02 eta: 2 days, 4:49:40 time: 0.4303 data_time: 0.0218 memory: 17087 grad_norm: 4.9305 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 1.8050 loss: 1.8050 2022/08/03 13:40:52 - mmengine - INFO - Epoch(train) [20][1820/1879] lr: 1.0000e-02 eta: 2 days, 4:49:31 time: 0.4268 data_time: 0.0140 memory: 17087 grad_norm: 4.6804 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7298 loss: 1.7298 2022/08/03 13:41:00 - mmengine - INFO - Epoch(train) [20][1840/1879] lr: 1.0000e-02 eta: 2 days, 4:49:22 time: 0.4241 data_time: 0.0160 memory: 17087 grad_norm: 4.7046 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7461 loss: 1.7461 2022/08/03 13:41:09 - mmengine - INFO - Epoch(train) [20][1860/1879] lr: 1.0000e-02 eta: 2 days, 4:49:12 time: 0.4227 data_time: 0.0128 memory: 17087 grad_norm: 4.7871 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9712 loss: 1.9712 2022/08/03 13:41:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:41:17 - mmengine - INFO - Epoch(train) [20][1879/1879] lr: 1.0000e-02 eta: 2 days, 4:49:12 time: 0.4083 data_time: 0.0158 memory: 17087 grad_norm: 4.8310 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.9425 loss: 1.9425 2022/08/03 13:41:17 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/08/03 13:41:28 - mmengine - INFO - Epoch(val) [20][20/155] eta: 0:00:51 time: 0.3802 data_time: 0.2134 memory: 2821 2022/08/03 13:41:33 - mmengine - INFO - Epoch(val) [20][40/155] eta: 0:00:29 time: 0.2563 data_time: 0.0880 memory: 2821 2022/08/03 13:41:39 - mmengine - INFO - Epoch(val) [20][60/155] eta: 0:00:29 time: 0.3151 data_time: 0.1491 memory: 2821 2022/08/03 13:41:45 - mmengine - INFO - Epoch(val) [20][80/155] eta: 0:00:20 time: 0.2759 data_time: 0.1086 memory: 2821 2022/08/03 13:41:51 - mmengine - INFO - Epoch(val) [20][100/155] eta: 0:00:17 time: 0.3111 data_time: 0.1349 memory: 2821 2022/08/03 13:41:57 - mmengine - INFO - Epoch(val) [20][120/155] eta: 0:00:09 time: 0.2756 data_time: 0.1093 memory: 2821 2022/08/03 13:42:03 - mmengine - INFO - Epoch(val) [20][140/155] eta: 0:00:04 time: 0.2956 data_time: 0.1333 memory: 2821 2022/08/03 13:42:07 - mmengine - INFO - Epoch(val) [20][155/155] acc/top1: 0.6290 acc/top5: 0.8471 acc/mean1: 0.6289 2022/08/03 13:42:07 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/best_acc/top1_epoch_16.pth is removed 2022/08/03 13:42:10 - mmengine - INFO - The best checkpoint with 0.6290 acc/top1 at 21 epoch is saved to best_acc/top1_epoch_21.pth. 2022/08/03 13:42:20 - mmengine - INFO - Epoch(train) [21][20/1879] lr: 1.0000e-02 eta: 2 days, 4:47:40 time: 0.5177 data_time: 0.1083 memory: 17087 grad_norm: 4.7928 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0047 loss: 2.0047 2022/08/03 13:42:28 - mmengine - INFO - Epoch(train) [21][40/1879] lr: 1.0000e-02 eta: 2 days, 4:47:30 time: 0.4243 data_time: 0.0163 memory: 17087 grad_norm: 4.6514 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7801 loss: 1.7801 2022/08/03 13:42:37 - mmengine - INFO - Epoch(train) [21][60/1879] lr: 1.0000e-02 eta: 2 days, 4:47:20 time: 0.4230 data_time: 0.0138 memory: 17087 grad_norm: 4.6527 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7849 loss: 1.7849 2022/08/03 13:42:46 - mmengine - INFO - Epoch(train) [21][80/1879] lr: 1.0000e-02 eta: 2 days, 4:47:15 time: 0.4412 data_time: 0.0155 memory: 17087 grad_norm: 4.6374 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7959 loss: 1.7959 2022/08/03 13:42:54 - mmengine - INFO - Epoch(train) [21][100/1879] lr: 1.0000e-02 eta: 2 days, 4:47:05 time: 0.4237 data_time: 0.0140 memory: 17087 grad_norm: 4.7120 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8434 loss: 1.8434 2022/08/03 13:43:03 - mmengine - INFO - Epoch(train) [21][120/1879] lr: 1.0000e-02 eta: 2 days, 4:46:59 time: 0.4392 data_time: 0.0158 memory: 17087 grad_norm: 4.7585 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6622 loss: 1.6622 2022/08/03 13:43:11 - mmengine - INFO - Epoch(train) [21][140/1879] lr: 1.0000e-02 eta: 2 days, 4:46:49 time: 0.4236 data_time: 0.0148 memory: 17087 grad_norm: 4.7720 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1304 loss: 2.1304 2022/08/03 13:43:21 - mmengine - INFO - Epoch(train) [21][160/1879] lr: 1.0000e-02 eta: 2 days, 4:46:47 time: 0.4542 data_time: 0.0187 memory: 17087 grad_norm: 4.7353 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6958 loss: 1.6958 2022/08/03 13:43:29 - mmengine - INFO - Epoch(train) [21][180/1879] lr: 1.0000e-02 eta: 2 days, 4:46:36 time: 0.4214 data_time: 0.0147 memory: 17087 grad_norm: 4.6732 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8059 loss: 1.8059 2022/08/03 13:43:37 - mmengine - INFO - Epoch(train) [21][200/1879] lr: 1.0000e-02 eta: 2 days, 4:46:27 time: 0.4262 data_time: 0.0154 memory: 17087 grad_norm: 4.6987 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9342 loss: 1.9342 2022/08/03 13:43:46 - mmengine - INFO - Epoch(train) [21][220/1879] lr: 1.0000e-02 eta: 2 days, 4:46:18 time: 0.4278 data_time: 0.0145 memory: 17087 grad_norm: 4.9188 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0271 loss: 2.0271 2022/08/03 13:43:55 - mmengine - INFO - Epoch(train) [21][240/1879] lr: 1.0000e-02 eta: 2 days, 4:46:09 time: 0.4264 data_time: 0.0167 memory: 17087 grad_norm: 4.6994 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9962 loss: 1.9962 2022/08/03 13:44:03 - mmengine - INFO - Epoch(train) [21][260/1879] lr: 1.0000e-02 eta: 2 days, 4:46:01 time: 0.4281 data_time: 0.0140 memory: 17087 grad_norm: 4.7804 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9446 loss: 1.9446 2022/08/03 13:44:12 - mmengine - INFO - Epoch(train) [21][280/1879] lr: 1.0000e-02 eta: 2 days, 4:45:52 time: 0.4298 data_time: 0.0186 memory: 17087 grad_norm: 4.6771 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7614 loss: 1.7614 2022/08/03 13:44:20 - mmengine - INFO - Epoch(train) [21][300/1879] lr: 1.0000e-02 eta: 2 days, 4:45:44 time: 0.4295 data_time: 0.0139 memory: 17087 grad_norm: 4.5013 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6790 loss: 1.6790 2022/08/03 13:44:29 - mmengine - INFO - Epoch(train) [21][320/1879] lr: 1.0000e-02 eta: 2 days, 4:45:35 time: 0.4288 data_time: 0.0202 memory: 17087 grad_norm: 4.8698 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0929 loss: 2.0929 2022/08/03 13:44:37 - mmengine - INFO - Epoch(train) [21][340/1879] lr: 1.0000e-02 eta: 2 days, 4:45:27 time: 0.4281 data_time: 0.0141 memory: 17087 grad_norm: 4.8991 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9224 loss: 1.9224 2022/08/03 13:44:46 - mmengine - INFO - Epoch(train) [21][360/1879] lr: 1.0000e-02 eta: 2 days, 4:45:19 time: 0.4303 data_time: 0.0172 memory: 17087 grad_norm: 4.8283 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9416 loss: 1.9416 2022/08/03 13:44:55 - mmengine - INFO - Epoch(train) [21][380/1879] lr: 1.0000e-02 eta: 2 days, 4:45:09 time: 0.4227 data_time: 0.0139 memory: 17087 grad_norm: 4.7496 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8034 loss: 1.8034 2022/08/03 13:45:03 - mmengine - INFO - Epoch(train) [21][400/1879] lr: 1.0000e-02 eta: 2 days, 4:45:03 time: 0.4431 data_time: 0.0172 memory: 17087 grad_norm: 4.7485 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8636 loss: 1.8636 2022/08/03 13:45:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:45:12 - mmengine - INFO - Epoch(train) [21][420/1879] lr: 1.0000e-02 eta: 2 days, 4:44:54 time: 0.4254 data_time: 0.0156 memory: 17087 grad_norm: 4.8839 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9144 loss: 1.9144 2022/08/03 13:45:20 - mmengine - INFO - Epoch(train) [21][440/1879] lr: 1.0000e-02 eta: 2 days, 4:44:45 time: 0.4255 data_time: 0.0174 memory: 17087 grad_norm: 4.7499 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7149 loss: 1.7149 2022/08/03 13:45:29 - mmengine - INFO - Epoch(train) [21][460/1879] lr: 1.0000e-02 eta: 2 days, 4:44:35 time: 0.4233 data_time: 0.0130 memory: 17087 grad_norm: 4.6881 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6836 loss: 1.6836 2022/08/03 13:45:37 - mmengine - INFO - Epoch(train) [21][480/1879] lr: 1.0000e-02 eta: 2 days, 4:44:26 time: 0.4252 data_time: 0.0169 memory: 17087 grad_norm: 4.7210 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6628 loss: 1.6628 2022/08/03 13:45:46 - mmengine - INFO - Epoch(train) [21][500/1879] lr: 1.0000e-02 eta: 2 days, 4:44:17 time: 0.4269 data_time: 0.0156 memory: 17087 grad_norm: 4.8161 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8263 loss: 1.8263 2022/08/03 13:45:54 - mmengine - INFO - Epoch(train) [21][520/1879] lr: 1.0000e-02 eta: 2 days, 4:44:08 time: 0.4264 data_time: 0.0165 memory: 17087 grad_norm: 4.7233 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8903 loss: 1.8903 2022/08/03 13:46:03 - mmengine - INFO - Epoch(train) [21][540/1879] lr: 1.0000e-02 eta: 2 days, 4:43:59 time: 0.4276 data_time: 0.0166 memory: 17087 grad_norm: 4.8287 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0943 loss: 2.0943 2022/08/03 13:46:12 - mmengine - INFO - Epoch(train) [21][560/1879] lr: 1.0000e-02 eta: 2 days, 4:43:49 time: 0.4245 data_time: 0.0152 memory: 17087 grad_norm: 4.9152 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9691 loss: 1.9691 2022/08/03 13:46:20 - mmengine - INFO - Epoch(train) [21][580/1879] lr: 1.0000e-02 eta: 2 days, 4:43:44 time: 0.4432 data_time: 0.0166 memory: 17087 grad_norm: 4.7204 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8720 loss: 1.8720 2022/08/03 13:46:29 - mmengine - INFO - Epoch(train) [21][600/1879] lr: 1.0000e-02 eta: 2 days, 4:43:34 time: 0.4223 data_time: 0.0148 memory: 17087 grad_norm: 4.7422 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9735 loss: 1.9735 2022/08/03 13:46:37 - mmengine - INFO - Epoch(train) [21][620/1879] lr: 1.0000e-02 eta: 2 days, 4:43:25 time: 0.4262 data_time: 0.0136 memory: 17087 grad_norm: 4.8321 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9588 loss: 1.9588 2022/08/03 13:46:46 - mmengine - INFO - Epoch(train) [21][640/1879] lr: 1.0000e-02 eta: 2 days, 4:43:16 time: 0.4294 data_time: 0.0171 memory: 17087 grad_norm: 4.8158 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9573 loss: 1.9573 2022/08/03 13:46:55 - mmengine - INFO - Epoch(train) [21][660/1879] lr: 1.0000e-02 eta: 2 days, 4:43:08 time: 0.4308 data_time: 0.0131 memory: 17087 grad_norm: 4.7435 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0599 loss: 2.0599 2022/08/03 13:47:03 - mmengine - INFO - Epoch(train) [21][680/1879] lr: 1.0000e-02 eta: 2 days, 4:42:59 time: 0.4251 data_time: 0.0160 memory: 17087 grad_norm: 4.7123 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1097 loss: 2.1097 2022/08/03 13:47:12 - mmengine - INFO - Epoch(train) [21][700/1879] lr: 1.0000e-02 eta: 2 days, 4:42:49 time: 0.4239 data_time: 0.0139 memory: 17087 grad_norm: 4.8628 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9400 loss: 1.9400 2022/08/03 13:47:21 - mmengine - INFO - Epoch(train) [21][720/1879] lr: 1.0000e-02 eta: 2 days, 4:42:46 time: 0.4494 data_time: 0.0164 memory: 17087 grad_norm: 4.7917 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8763 loss: 1.8763 2022/08/03 13:47:29 - mmengine - INFO - Epoch(train) [21][740/1879] lr: 1.0000e-02 eta: 2 days, 4:42:35 time: 0.4221 data_time: 0.0131 memory: 17087 grad_norm: 4.8497 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9016 loss: 1.9016 2022/08/03 13:47:38 - mmengine - INFO - Epoch(train) [21][760/1879] lr: 1.0000e-02 eta: 2 days, 4:42:26 time: 0.4256 data_time: 0.0162 memory: 17087 grad_norm: 4.7775 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7694 loss: 1.7694 2022/08/03 13:47:46 - mmengine - INFO - Epoch(train) [21][780/1879] lr: 1.0000e-02 eta: 2 days, 4:42:22 time: 0.4465 data_time: 0.0127 memory: 17087 grad_norm: 4.7178 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7901 loss: 1.7901 2022/08/03 13:47:55 - mmengine - INFO - Epoch(train) [21][800/1879] lr: 1.0000e-02 eta: 2 days, 4:42:12 time: 0.4252 data_time: 0.0153 memory: 17087 grad_norm: 4.6805 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6734 loss: 1.6734 2022/08/03 13:48:03 - mmengine - INFO - Epoch(train) [21][820/1879] lr: 1.0000e-02 eta: 2 days, 4:42:03 time: 0.4272 data_time: 0.0164 memory: 17087 grad_norm: 4.6667 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9987 loss: 1.9987 2022/08/03 13:48:12 - mmengine - INFO - Epoch(train) [21][840/1879] lr: 1.0000e-02 eta: 2 days, 4:41:54 time: 0.4257 data_time: 0.0177 memory: 17087 grad_norm: 4.8081 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7986 loss: 1.7986 2022/08/03 13:48:21 - mmengine - INFO - Epoch(train) [21][860/1879] lr: 1.0000e-02 eta: 2 days, 4:41:45 time: 0.4279 data_time: 0.0163 memory: 17087 grad_norm: 4.7063 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7314 loss: 1.7314 2022/08/03 13:48:29 - mmengine - INFO - Epoch(train) [21][880/1879] lr: 1.0000e-02 eta: 2 days, 4:41:36 time: 0.4242 data_time: 0.0154 memory: 17087 grad_norm: 4.6362 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0293 loss: 2.0293 2022/08/03 13:48:38 - mmengine - INFO - Epoch(train) [21][900/1879] lr: 1.0000e-02 eta: 2 days, 4:41:26 time: 0.4244 data_time: 0.0141 memory: 17087 grad_norm: 4.7195 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1311 loss: 2.1311 2022/08/03 13:48:46 - mmengine - INFO - Epoch(train) [21][920/1879] lr: 1.0000e-02 eta: 2 days, 4:41:19 time: 0.4320 data_time: 0.0153 memory: 17087 grad_norm: 4.6293 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9463 loss: 1.9463 2022/08/03 13:48:55 - mmengine - INFO - Epoch(train) [21][940/1879] lr: 1.0000e-02 eta: 2 days, 4:41:10 time: 0.4267 data_time: 0.0141 memory: 17087 grad_norm: 4.5926 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7987 loss: 1.7987 2022/08/03 13:49:04 - mmengine - INFO - Epoch(train) [21][960/1879] lr: 1.0000e-02 eta: 2 days, 4:41:05 time: 0.4451 data_time: 0.0158 memory: 17087 grad_norm: 4.6690 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6765 loss: 1.6765 2022/08/03 13:49:12 - mmengine - INFO - Epoch(train) [21][980/1879] lr: 1.0000e-02 eta: 2 days, 4:40:56 time: 0.4274 data_time: 0.0184 memory: 17087 grad_norm: 4.7731 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8682 loss: 1.8682 2022/08/03 13:49:21 - mmengine - INFO - Epoch(train) [21][1000/1879] lr: 1.0000e-02 eta: 2 days, 4:40:52 time: 0.4491 data_time: 0.0162 memory: 17087 grad_norm: 4.8641 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6719 loss: 1.6719 2022/08/03 13:49:30 - mmengine - INFO - Epoch(train) [21][1020/1879] lr: 1.0000e-02 eta: 2 days, 4:40:42 time: 0.4242 data_time: 0.0150 memory: 17087 grad_norm: 4.7062 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8571 loss: 1.8571 2022/08/03 13:49:38 - mmengine - INFO - Epoch(train) [21][1040/1879] lr: 1.0000e-02 eta: 2 days, 4:40:33 time: 0.4247 data_time: 0.0154 memory: 17087 grad_norm: 4.7097 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7480 loss: 1.7480 2022/08/03 13:49:47 - mmengine - INFO - Epoch(train) [21][1060/1879] lr: 1.0000e-02 eta: 2 days, 4:40:23 time: 0.4239 data_time: 0.0127 memory: 17087 grad_norm: 4.6014 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.8228 loss: 1.8228 2022/08/03 13:49:55 - mmengine - INFO - Epoch(train) [21][1080/1879] lr: 1.0000e-02 eta: 2 days, 4:40:14 time: 0.4255 data_time: 0.0147 memory: 17087 grad_norm: 4.8366 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8515 loss: 1.8515 2022/08/03 13:50:04 - mmengine - INFO - Epoch(train) [21][1100/1879] lr: 1.0000e-02 eta: 2 days, 4:40:05 time: 0.4258 data_time: 0.0159 memory: 17087 grad_norm: 4.7544 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7530 loss: 1.7530 2022/08/03 13:50:12 - mmengine - INFO - Epoch(train) [21][1120/1879] lr: 1.0000e-02 eta: 2 days, 4:39:56 time: 0.4263 data_time: 0.0174 memory: 17087 grad_norm: 4.7125 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9534 loss: 1.9534 2022/08/03 13:50:21 - mmengine - INFO - Epoch(train) [21][1140/1879] lr: 1.0000e-02 eta: 2 days, 4:39:46 time: 0.4258 data_time: 0.0147 memory: 17087 grad_norm: 4.7996 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8219 loss: 1.8219 2022/08/03 13:50:29 - mmengine - INFO - Epoch(train) [21][1160/1879] lr: 1.0000e-02 eta: 2 days, 4:39:37 time: 0.4264 data_time: 0.0157 memory: 17087 grad_norm: 4.7550 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8090 loss: 1.8090 2022/08/03 13:50:38 - mmengine - INFO - Epoch(train) [21][1180/1879] lr: 1.0000e-02 eta: 2 days, 4:39:29 time: 0.4306 data_time: 0.0156 memory: 17087 grad_norm: 4.8449 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7369 loss: 1.7369 2022/08/03 13:50:46 - mmengine - INFO - Epoch(train) [21][1200/1879] lr: 1.0000e-02 eta: 2 days, 4:39:21 time: 0.4318 data_time: 0.0181 memory: 17087 grad_norm: 4.8106 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8691 loss: 1.8691 2022/08/03 13:50:55 - mmengine - INFO - Epoch(train) [21][1220/1879] lr: 1.0000e-02 eta: 2 days, 4:39:13 time: 0.4311 data_time: 0.0147 memory: 17087 grad_norm: 4.7374 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7424 loss: 1.7424 2022/08/03 13:51:04 - mmengine - INFO - Epoch(train) [21][1240/1879] lr: 1.0000e-02 eta: 2 days, 4:39:04 time: 0.4260 data_time: 0.0162 memory: 17087 grad_norm: 4.6559 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7542 loss: 1.7542 2022/08/03 13:51:12 - mmengine - INFO - Epoch(train) [21][1260/1879] lr: 1.0000e-02 eta: 2 days, 4:38:58 time: 0.4406 data_time: 0.0161 memory: 17087 grad_norm: 4.8162 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1632 loss: 2.1632 2022/08/03 13:51:21 - mmengine - INFO - Epoch(train) [21][1280/1879] lr: 1.0000e-02 eta: 2 days, 4:38:50 time: 0.4300 data_time: 0.0202 memory: 17087 grad_norm: 4.7622 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9035 loss: 1.9035 2022/08/03 13:51:30 - mmengine - INFO - Epoch(train) [21][1300/1879] lr: 1.0000e-02 eta: 2 days, 4:38:41 time: 0.4252 data_time: 0.0135 memory: 17087 grad_norm: 4.6773 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8969 loss: 1.8969 2022/08/03 13:51:38 - mmengine - INFO - Epoch(train) [21][1320/1879] lr: 1.0000e-02 eta: 2 days, 4:38:32 time: 0.4280 data_time: 0.0157 memory: 17087 grad_norm: 4.8687 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1093 loss: 2.1093 2022/08/03 13:51:47 - mmengine - INFO - Epoch(train) [21][1340/1879] lr: 1.0000e-02 eta: 2 days, 4:38:26 time: 0.4388 data_time: 0.0148 memory: 17087 grad_norm: 4.7701 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9090 loss: 1.9090 2022/08/03 13:51:55 - mmengine - INFO - Epoch(train) [21][1360/1879] lr: 1.0000e-02 eta: 2 days, 4:38:16 time: 0.4241 data_time: 0.0151 memory: 17087 grad_norm: 4.6279 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9318 loss: 1.9318 2022/08/03 13:52:04 - mmengine - INFO - Epoch(train) [21][1380/1879] lr: 1.0000e-02 eta: 2 days, 4:38:10 time: 0.4386 data_time: 0.0142 memory: 17087 grad_norm: 4.7031 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8715 loss: 1.8715 2022/08/03 13:52:13 - mmengine - INFO - Epoch(train) [21][1400/1879] lr: 1.0000e-02 eta: 2 days, 4:38:01 time: 0.4262 data_time: 0.0202 memory: 17087 grad_norm: 4.8430 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8896 loss: 1.8896 2022/08/03 13:52:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:52:21 - mmengine - INFO - Epoch(train) [21][1420/1879] lr: 1.0000e-02 eta: 2 days, 4:37:51 time: 0.4240 data_time: 0.0147 memory: 17087 grad_norm: 4.7959 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0038 loss: 2.0038 2022/08/03 13:52:30 - mmengine - INFO - Epoch(train) [21][1440/1879] lr: 1.0000e-02 eta: 2 days, 4:37:42 time: 0.4271 data_time: 0.0182 memory: 17087 grad_norm: 4.6261 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8445 loss: 1.8445 2022/08/03 13:52:39 - mmengine - INFO - Epoch(train) [21][1460/1879] lr: 1.0000e-02 eta: 2 days, 4:37:37 time: 0.4449 data_time: 0.0136 memory: 17087 grad_norm: 4.7934 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9228 loss: 1.9228 2022/08/03 13:52:47 - mmengine - INFO - Epoch(train) [21][1480/1879] lr: 1.0000e-02 eta: 2 days, 4:37:29 time: 0.4284 data_time: 0.0201 memory: 17087 grad_norm: 4.7372 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6982 loss: 1.6982 2022/08/03 13:52:56 - mmengine - INFO - Epoch(train) [21][1500/1879] lr: 1.0000e-02 eta: 2 days, 4:37:24 time: 0.4459 data_time: 0.0154 memory: 17087 grad_norm: 4.7199 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0127 loss: 2.0127 2022/08/03 13:53:05 - mmengine - INFO - Epoch(train) [21][1520/1879] lr: 1.0000e-02 eta: 2 days, 4:37:15 time: 0.4265 data_time: 0.0162 memory: 17087 grad_norm: 4.6964 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7838 loss: 1.7838 2022/08/03 13:53:14 - mmengine - INFO - Epoch(train) [21][1540/1879] lr: 1.0000e-02 eta: 2 days, 4:37:10 time: 0.4435 data_time: 0.0184 memory: 17087 grad_norm: 4.7612 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8673 loss: 1.8673 2022/08/03 13:53:22 - mmengine - INFO - Epoch(train) [21][1560/1879] lr: 1.0000e-02 eta: 2 days, 4:37:00 time: 0.4258 data_time: 0.0148 memory: 17087 grad_norm: 4.8500 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7934 loss: 1.7934 2022/08/03 13:53:31 - mmengine - INFO - Epoch(train) [21][1580/1879] lr: 1.0000e-02 eta: 2 days, 4:36:56 time: 0.4451 data_time: 0.0203 memory: 17087 grad_norm: 4.7335 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9078 loss: 1.9078 2022/08/03 13:53:39 - mmengine - INFO - Epoch(train) [21][1600/1879] lr: 1.0000e-02 eta: 2 days, 4:36:46 time: 0.4251 data_time: 0.0157 memory: 17087 grad_norm: 4.8298 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9361 loss: 1.9361 2022/08/03 13:53:48 - mmengine - INFO - Epoch(train) [21][1620/1879] lr: 1.0000e-02 eta: 2 days, 4:36:38 time: 0.4292 data_time: 0.0188 memory: 17087 grad_norm: 4.7126 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7667 loss: 1.7667 2022/08/03 13:53:57 - mmengine - INFO - Epoch(train) [21][1640/1879] lr: 1.0000e-02 eta: 2 days, 4:36:34 time: 0.4517 data_time: 0.0172 memory: 17087 grad_norm: 4.6640 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8813 loss: 1.8813 2022/08/03 13:54:06 - mmengine - INFO - Epoch(train) [21][1660/1879] lr: 1.0000e-02 eta: 2 days, 4:36:25 time: 0.4273 data_time: 0.0217 memory: 17087 grad_norm: 4.7772 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8032 loss: 1.8032 2022/08/03 13:54:14 - mmengine - INFO - Epoch(train) [21][1680/1879] lr: 1.0000e-02 eta: 2 days, 4:36:19 time: 0.4365 data_time: 0.0188 memory: 17087 grad_norm: 4.7598 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9508 loss: 1.9508 2022/08/03 13:54:23 - mmengine - INFO - Epoch(train) [21][1700/1879] lr: 1.0000e-02 eta: 2 days, 4:36:09 time: 0.4249 data_time: 0.0136 memory: 17087 grad_norm: 4.7920 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8970 loss: 1.8970 2022/08/03 13:54:32 - mmengine - INFO - Epoch(train) [21][1720/1879] lr: 1.0000e-02 eta: 2 days, 4:36:05 time: 0.4480 data_time: 0.0156 memory: 17087 grad_norm: 4.8011 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0277 loss: 2.0277 2022/08/03 13:54:40 - mmengine - INFO - Epoch(train) [21][1740/1879] lr: 1.0000e-02 eta: 2 days, 4:35:55 time: 0.4233 data_time: 0.0147 memory: 17087 grad_norm: 4.6723 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9026 loss: 1.9026 2022/08/03 13:54:49 - mmengine - INFO - Epoch(train) [21][1760/1879] lr: 1.0000e-02 eta: 2 days, 4:35:46 time: 0.4253 data_time: 0.0150 memory: 17087 grad_norm: 4.7139 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9100 loss: 1.9100 2022/08/03 13:54:57 - mmengine - INFO - Epoch(train) [21][1780/1879] lr: 1.0000e-02 eta: 2 days, 4:35:37 time: 0.4265 data_time: 0.0156 memory: 17087 grad_norm: 4.7847 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7808 loss: 1.7808 2022/08/03 13:55:06 - mmengine - INFO - Epoch(train) [21][1800/1879] lr: 1.0000e-02 eta: 2 days, 4:35:27 time: 0.4247 data_time: 0.0163 memory: 17087 grad_norm: 4.8171 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9174 loss: 1.9174 2022/08/03 13:55:14 - mmengine - INFO - Epoch(train) [21][1820/1879] lr: 1.0000e-02 eta: 2 days, 4:35:18 time: 0.4233 data_time: 0.0144 memory: 17087 grad_norm: 4.8404 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0959 loss: 2.0959 2022/08/03 13:55:23 - mmengine - INFO - Epoch(train) [21][1840/1879] lr: 1.0000e-02 eta: 2 days, 4:35:08 time: 0.4240 data_time: 0.0176 memory: 17087 grad_norm: 4.7336 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8773 loss: 1.8773 2022/08/03 13:55:32 - mmengine - INFO - Epoch(train) [21][1860/1879] lr: 1.0000e-02 eta: 2 days, 4:35:03 time: 0.4455 data_time: 0.0167 memory: 17087 grad_norm: 4.6316 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7404 loss: 1.7404 2022/08/03 13:55:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:55:39 - mmengine - INFO - Epoch(train) [21][1879/1879] lr: 1.0000e-02 eta: 2 days, 4:35:03 time: 0.4050 data_time: 0.0141 memory: 17087 grad_norm: 4.9219 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 2.0222 loss: 2.0222 2022/08/03 13:55:51 - mmengine - INFO - Epoch(train) [22][20/1879] lr: 1.0000e-02 eta: 2 days, 4:33:47 time: 0.5683 data_time: 0.1155 memory: 17087 grad_norm: 4.6077 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.7161 loss: 1.7161 2022/08/03 13:55:59 - mmengine - INFO - Epoch(train) [22][40/1879] lr: 1.0000e-02 eta: 2 days, 4:33:37 time: 0.4249 data_time: 0.0149 memory: 17087 grad_norm: 4.7433 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7806 loss: 1.7806 2022/08/03 13:56:08 - mmengine - INFO - Epoch(train) [22][60/1879] lr: 1.0000e-02 eta: 2 days, 4:33:28 time: 0.4250 data_time: 0.0131 memory: 17087 grad_norm: 4.8293 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8083 loss: 1.8083 2022/08/03 13:56:16 - mmengine - INFO - Epoch(train) [22][80/1879] lr: 1.0000e-02 eta: 2 days, 4:33:19 time: 0.4288 data_time: 0.0150 memory: 17087 grad_norm: 4.6915 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7142 loss: 1.7142 2022/08/03 13:56:25 - mmengine - INFO - Epoch(train) [22][100/1879] lr: 1.0000e-02 eta: 2 days, 4:33:10 time: 0.4244 data_time: 0.0165 memory: 17087 grad_norm: 4.7888 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9391 loss: 1.9391 2022/08/03 13:56:33 - mmengine - INFO - Epoch(train) [22][120/1879] lr: 1.0000e-02 eta: 2 days, 4:33:01 time: 0.4295 data_time: 0.0153 memory: 17087 grad_norm: 4.9008 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7595 loss: 1.7595 2022/08/03 13:56:42 - mmengine - INFO - Epoch(train) [22][140/1879] lr: 1.0000e-02 eta: 2 days, 4:32:52 time: 0.4233 data_time: 0.0148 memory: 17087 grad_norm: 4.8126 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9164 loss: 1.9164 2022/08/03 13:56:50 - mmengine - INFO - Epoch(train) [22][160/1879] lr: 1.0000e-02 eta: 2 days, 4:32:42 time: 0.4247 data_time: 0.0148 memory: 17087 grad_norm: 4.7186 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8494 loss: 1.8494 2022/08/03 13:56:59 - mmengine - INFO - Epoch(train) [22][180/1879] lr: 1.0000e-02 eta: 2 days, 4:32:33 time: 0.4242 data_time: 0.0141 memory: 17087 grad_norm: 4.8188 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6513 loss: 1.6513 2022/08/03 13:57:08 - mmengine - INFO - Epoch(train) [22][200/1879] lr: 1.0000e-02 eta: 2 days, 4:32:24 time: 0.4302 data_time: 0.0168 memory: 17087 grad_norm: 4.7364 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7415 loss: 1.7415 2022/08/03 13:57:16 - mmengine - INFO - Epoch(train) [22][220/1879] lr: 1.0000e-02 eta: 2 days, 4:32:16 time: 0.4270 data_time: 0.0139 memory: 17087 grad_norm: 4.7993 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0052 loss: 2.0052 2022/08/03 13:57:25 - mmengine - INFO - Epoch(train) [22][240/1879] lr: 1.0000e-02 eta: 2 days, 4:32:10 time: 0.4423 data_time: 0.0164 memory: 17087 grad_norm: 4.8409 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9576 loss: 1.9576 2022/08/03 13:57:33 - mmengine - INFO - Epoch(train) [22][260/1879] lr: 1.0000e-02 eta: 2 days, 4:32:00 time: 0.4233 data_time: 0.0154 memory: 17087 grad_norm: 4.6746 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.7841 loss: 1.7841 2022/08/03 13:57:42 - mmengine - INFO - Epoch(train) [22][280/1879] lr: 1.0000e-02 eta: 2 days, 4:31:52 time: 0.4302 data_time: 0.0173 memory: 17087 grad_norm: 4.7176 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7818 loss: 1.7818 2022/08/03 13:57:50 - mmengine - INFO - Epoch(train) [22][300/1879] lr: 1.0000e-02 eta: 2 days, 4:31:43 time: 0.4240 data_time: 0.0138 memory: 17087 grad_norm: 4.7186 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8607 loss: 1.8607 2022/08/03 13:57:59 - mmengine - INFO - Epoch(train) [22][320/1879] lr: 1.0000e-02 eta: 2 days, 4:31:33 time: 0.4258 data_time: 0.0155 memory: 17087 grad_norm: 4.8889 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6374 loss: 1.6374 2022/08/03 13:58:07 - mmengine - INFO - Epoch(train) [22][340/1879] lr: 1.0000e-02 eta: 2 days, 4:31:24 time: 0.4228 data_time: 0.0137 memory: 17087 grad_norm: 4.8383 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7691 loss: 1.7691 2022/08/03 13:58:16 - mmengine - INFO - Epoch(train) [22][360/1879] lr: 1.0000e-02 eta: 2 days, 4:31:15 time: 0.4296 data_time: 0.0174 memory: 17087 grad_norm: 4.8458 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7990 loss: 1.7990 2022/08/03 13:58:24 - mmengine - INFO - Epoch(train) [22][380/1879] lr: 1.0000e-02 eta: 2 days, 4:31:05 time: 0.4224 data_time: 0.0138 memory: 17087 grad_norm: 4.7567 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 1.9422 loss: 1.9422 2022/08/03 13:58:33 - mmengine - INFO - Epoch(train) [22][400/1879] lr: 1.0000e-02 eta: 2 days, 4:31:00 time: 0.4444 data_time: 0.0166 memory: 17087 grad_norm: 4.8067 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9233 loss: 1.9233 2022/08/03 13:58:42 - mmengine - INFO - Epoch(train) [22][420/1879] lr: 1.0000e-02 eta: 2 days, 4:30:51 time: 0.4259 data_time: 0.0152 memory: 17087 grad_norm: 4.6178 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9055 loss: 1.9055 2022/08/03 13:58:50 - mmengine - INFO - Epoch(train) [22][440/1879] lr: 1.0000e-02 eta: 2 days, 4:30:42 time: 0.4247 data_time: 0.0155 memory: 17087 grad_norm: 4.6622 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6293 loss: 1.6293 2022/08/03 13:58:59 - mmengine - INFO - Epoch(train) [22][460/1879] lr: 1.0000e-02 eta: 2 days, 4:30:35 time: 0.4362 data_time: 0.0148 memory: 17087 grad_norm: 4.7393 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9107 loss: 1.9107 2022/08/03 13:59:08 - mmengine - INFO - Epoch(train) [22][480/1879] lr: 1.0000e-02 eta: 2 days, 4:30:26 time: 0.4256 data_time: 0.0164 memory: 17087 grad_norm: 4.7232 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8210 loss: 1.8210 2022/08/03 13:59:16 - mmengine - INFO - Epoch(train) [22][500/1879] lr: 1.0000e-02 eta: 2 days, 4:30:18 time: 0.4341 data_time: 0.0186 memory: 17087 grad_norm: 4.7380 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9979 loss: 1.9979 2022/08/03 13:59:25 - mmengine - INFO - Epoch(train) [22][520/1879] lr: 1.0000e-02 eta: 2 days, 4:30:11 time: 0.4332 data_time: 0.0181 memory: 17087 grad_norm: 4.8353 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8213 loss: 1.8213 2022/08/03 13:59:33 - mmengine - INFO - Epoch(train) [22][540/1879] lr: 1.0000e-02 eta: 2 days, 4:30:01 time: 0.4234 data_time: 0.0132 memory: 17087 grad_norm: 4.7382 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8604 loss: 1.8604 2022/08/03 13:59:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:59:42 - mmengine - INFO - Epoch(train) [22][560/1879] lr: 1.0000e-02 eta: 2 days, 4:29:52 time: 0.4286 data_time: 0.0155 memory: 17087 grad_norm: 4.7341 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8708 loss: 1.8708 2022/08/03 13:59:51 - mmengine - INFO - Epoch(train) [22][580/1879] lr: 1.0000e-02 eta: 2 days, 4:29:43 time: 0.4233 data_time: 0.0126 memory: 17087 grad_norm: 4.7631 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7574 loss: 1.7574 2022/08/03 13:59:59 - mmengine - INFO - Epoch(train) [22][600/1879] lr: 1.0000e-02 eta: 2 days, 4:29:33 time: 0.4238 data_time: 0.0164 memory: 17087 grad_norm: 4.6720 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5463 loss: 1.5463 2022/08/03 14:00:08 - mmengine - INFO - Epoch(train) [22][620/1879] lr: 1.0000e-02 eta: 2 days, 4:29:25 time: 0.4322 data_time: 0.0162 memory: 17087 grad_norm: 4.8464 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9342 loss: 1.9342 2022/08/03 14:00:16 - mmengine - INFO - Epoch(train) [22][640/1879] lr: 1.0000e-02 eta: 2 days, 4:29:16 time: 0.4271 data_time: 0.0166 memory: 17087 grad_norm: 4.8795 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0625 loss: 2.0625 2022/08/03 14:00:25 - mmengine - INFO - Epoch(train) [22][660/1879] lr: 1.0000e-02 eta: 2 days, 4:29:13 time: 0.4542 data_time: 0.0153 memory: 17087 grad_norm: 4.8295 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8679 loss: 1.8679 2022/08/03 14:00:34 - mmengine - INFO - Epoch(train) [22][680/1879] lr: 1.0000e-02 eta: 2 days, 4:29:05 time: 0.4275 data_time: 0.0170 memory: 17087 grad_norm: 4.7233 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7961 loss: 1.7961 2022/08/03 14:00:42 - mmengine - INFO - Epoch(train) [22][700/1879] lr: 1.0000e-02 eta: 2 days, 4:28:55 time: 0.4225 data_time: 0.0134 memory: 17087 grad_norm: 4.7559 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7770 loss: 1.7770 2022/08/03 14:00:51 - mmengine - INFO - Epoch(train) [22][720/1879] lr: 1.0000e-02 eta: 2 days, 4:28:46 time: 0.4282 data_time: 0.0186 memory: 17087 grad_norm: 4.6251 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8662 loss: 1.8662 2022/08/03 14:00:59 - mmengine - INFO - Epoch(train) [22][740/1879] lr: 1.0000e-02 eta: 2 days, 4:28:37 time: 0.4242 data_time: 0.0130 memory: 17087 grad_norm: 4.7499 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.7058 loss: 1.7058 2022/08/03 14:01:08 - mmengine - INFO - Epoch(train) [22][760/1879] lr: 1.0000e-02 eta: 2 days, 4:28:27 time: 0.4255 data_time: 0.0160 memory: 17087 grad_norm: 4.7001 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6661 loss: 1.6661 2022/08/03 14:01:16 - mmengine - INFO - Epoch(train) [22][780/1879] lr: 1.0000e-02 eta: 2 days, 4:28:19 time: 0.4284 data_time: 0.0190 memory: 17087 grad_norm: 4.7302 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7592 loss: 1.7592 2022/08/03 14:01:25 - mmengine - INFO - Epoch(train) [22][800/1879] lr: 1.0000e-02 eta: 2 days, 4:28:10 time: 0.4266 data_time: 0.0159 memory: 17087 grad_norm: 4.7683 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9702 loss: 1.9702 2022/08/03 14:01:34 - mmengine - INFO - Epoch(train) [22][820/1879] lr: 1.0000e-02 eta: 2 days, 4:28:01 time: 0.4289 data_time: 0.0142 memory: 17087 grad_norm: 4.6799 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7628 loss: 1.7628 2022/08/03 14:01:42 - mmengine - INFO - Epoch(train) [22][840/1879] lr: 1.0000e-02 eta: 2 days, 4:27:52 time: 0.4244 data_time: 0.0165 memory: 17087 grad_norm: 4.7345 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8211 loss: 1.8211 2022/08/03 14:01:50 - mmengine - INFO - Epoch(train) [22][860/1879] lr: 1.0000e-02 eta: 2 days, 4:27:42 time: 0.4231 data_time: 0.0142 memory: 17087 grad_norm: 4.7970 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7981 loss: 1.7981 2022/08/03 14:01:59 - mmengine - INFO - Epoch(train) [22][880/1879] lr: 1.0000e-02 eta: 2 days, 4:27:34 time: 0.4335 data_time: 0.0171 memory: 17087 grad_norm: 4.6810 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9069 loss: 1.9069 2022/08/03 14:02:08 - mmengine - INFO - Epoch(train) [22][900/1879] lr: 1.0000e-02 eta: 2 days, 4:27:25 time: 0.4255 data_time: 0.0146 memory: 17087 grad_norm: 4.8605 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8177 loss: 1.8177 2022/08/03 14:02:17 - mmengine - INFO - Epoch(train) [22][920/1879] lr: 1.0000e-02 eta: 2 days, 4:27:22 time: 0.4539 data_time: 0.0150 memory: 17087 grad_norm: 4.7717 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0003 loss: 2.0003 2022/08/03 14:02:25 - mmengine - INFO - Epoch(train) [22][940/1879] lr: 1.0000e-02 eta: 2 days, 4:27:13 time: 0.4256 data_time: 0.0149 memory: 17087 grad_norm: 4.6213 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7305 loss: 1.7305 2022/08/03 14:02:34 - mmengine - INFO - Epoch(train) [22][960/1879] lr: 1.0000e-02 eta: 2 days, 4:27:04 time: 0.4253 data_time: 0.0152 memory: 17087 grad_norm: 4.9217 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1654 loss: 2.1654 2022/08/03 14:02:43 - mmengine - INFO - Epoch(train) [22][980/1879] lr: 1.0000e-02 eta: 2 days, 4:27:00 time: 0.4486 data_time: 0.0145 memory: 17087 grad_norm: 4.6887 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9974 loss: 1.9974 2022/08/03 14:02:51 - mmengine - INFO - Epoch(train) [22][1000/1879] lr: 1.0000e-02 eta: 2 days, 4:26:50 time: 0.4257 data_time: 0.0155 memory: 17087 grad_norm: 4.6489 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0272 loss: 2.0272 2022/08/03 14:03:00 - mmengine - INFO - Epoch(train) [22][1020/1879] lr: 1.0000e-02 eta: 2 days, 4:26:41 time: 0.4271 data_time: 0.0174 memory: 17087 grad_norm: 4.6342 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8351 loss: 1.8351 2022/08/03 14:03:09 - mmengine - INFO - Epoch(train) [22][1040/1879] lr: 1.0000e-02 eta: 2 days, 4:26:35 time: 0.4365 data_time: 0.0161 memory: 17087 grad_norm: 4.7833 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8544 loss: 1.8544 2022/08/03 14:03:17 - mmengine - INFO - Epoch(train) [22][1060/1879] lr: 1.0000e-02 eta: 2 days, 4:26:25 time: 0.4232 data_time: 0.0141 memory: 17087 grad_norm: 4.5976 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8788 loss: 1.8788 2022/08/03 14:03:26 - mmengine - INFO - Epoch(train) [22][1080/1879] lr: 1.0000e-02 eta: 2 days, 4:26:17 time: 0.4312 data_time: 0.0179 memory: 17087 grad_norm: 4.8069 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9233 loss: 1.9233 2022/08/03 14:03:34 - mmengine - INFO - Epoch(train) [22][1100/1879] lr: 1.0000e-02 eta: 2 days, 4:26:08 time: 0.4261 data_time: 0.0166 memory: 17087 grad_norm: 4.7864 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8741 loss: 1.8741 2022/08/03 14:03:43 - mmengine - INFO - Epoch(train) [22][1120/1879] lr: 1.0000e-02 eta: 2 days, 4:26:03 time: 0.4484 data_time: 0.0184 memory: 17087 grad_norm: 4.8750 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0271 loss: 2.0271 2022/08/03 14:03:52 - mmengine - INFO - Epoch(train) [22][1140/1879] lr: 1.0000e-02 eta: 2 days, 4:25:54 time: 0.4230 data_time: 0.0143 memory: 17087 grad_norm: 4.8403 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8941 loss: 1.8941 2022/08/03 14:04:00 - mmengine - INFO - Epoch(train) [22][1160/1879] lr: 1.0000e-02 eta: 2 days, 4:25:45 time: 0.4278 data_time: 0.0190 memory: 17087 grad_norm: 4.8402 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.7858 loss: 1.7858 2022/08/03 14:04:09 - mmengine - INFO - Epoch(train) [22][1180/1879] lr: 1.0000e-02 eta: 2 days, 4:25:39 time: 0.4386 data_time: 0.0136 memory: 17087 grad_norm: 4.7662 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8986 loss: 1.8986 2022/08/03 14:04:17 - mmengine - INFO - Epoch(train) [22][1200/1879] lr: 1.0000e-02 eta: 2 days, 4:25:29 time: 0.4257 data_time: 0.0155 memory: 17087 grad_norm: 4.8716 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.9014 loss: 1.9014 2022/08/03 14:04:26 - mmengine - INFO - Epoch(train) [22][1220/1879] lr: 1.0000e-02 eta: 2 days, 4:25:25 time: 0.4469 data_time: 0.0139 memory: 17087 grad_norm: 4.6927 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8774 loss: 1.8774 2022/08/03 14:04:35 - mmengine - INFO - Epoch(train) [22][1240/1879] lr: 1.0000e-02 eta: 2 days, 4:25:16 time: 0.4301 data_time: 0.0157 memory: 17087 grad_norm: 4.7574 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9142 loss: 1.9142 2022/08/03 14:04:44 - mmengine - INFO - Epoch(train) [22][1260/1879] lr: 1.0000e-02 eta: 2 days, 4:25:08 time: 0.4290 data_time: 0.0197 memory: 17087 grad_norm: 4.8980 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0078 loss: 2.0078 2022/08/03 14:04:52 - mmengine - INFO - Epoch(train) [22][1280/1879] lr: 1.0000e-02 eta: 2 days, 4:25:02 time: 0.4411 data_time: 0.0184 memory: 17087 grad_norm: 4.6989 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8031 loss: 1.8031 2022/08/03 14:05:01 - mmengine - INFO - Epoch(train) [22][1300/1879] lr: 1.0000e-02 eta: 2 days, 4:24:52 time: 0.4223 data_time: 0.0128 memory: 17087 grad_norm: 4.8883 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8838 loss: 1.8838 2022/08/03 14:05:09 - mmengine - INFO - Epoch(train) [22][1320/1879] lr: 1.0000e-02 eta: 2 days, 4:24:43 time: 0.4261 data_time: 0.0169 memory: 17087 grad_norm: 4.7554 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5967 loss: 1.5967 2022/08/03 14:05:18 - mmengine - INFO - Epoch(train) [22][1340/1879] lr: 1.0000e-02 eta: 2 days, 4:24:39 time: 0.4476 data_time: 0.0147 memory: 17087 grad_norm: 4.8316 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8639 loss: 1.8639 2022/08/03 14:05:27 - mmengine - INFO - Epoch(train) [22][1360/1879] lr: 1.0000e-02 eta: 2 days, 4:24:29 time: 0.4251 data_time: 0.0157 memory: 17087 grad_norm: 4.6890 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6359 loss: 1.6359 2022/08/03 14:05:35 - mmengine - INFO - Epoch(train) [22][1380/1879] lr: 1.0000e-02 eta: 2 days, 4:24:21 time: 0.4316 data_time: 0.0157 memory: 17087 grad_norm: 4.8437 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9533 loss: 1.9533 2022/08/03 14:05:44 - mmengine - INFO - Epoch(train) [22][1400/1879] lr: 1.0000e-02 eta: 2 days, 4:24:12 time: 0.4248 data_time: 0.0154 memory: 17087 grad_norm: 4.7079 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9981 loss: 1.9981 2022/08/03 14:05:53 - mmengine - INFO - Epoch(train) [22][1420/1879] lr: 1.0000e-02 eta: 2 days, 4:24:07 time: 0.4454 data_time: 0.0154 memory: 17087 grad_norm: 4.8771 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9117 loss: 1.9117 2022/08/03 14:06:01 - mmengine - INFO - Epoch(train) [22][1440/1879] lr: 1.0000e-02 eta: 2 days, 4:23:57 time: 0.4231 data_time: 0.0151 memory: 17087 grad_norm: 4.8334 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7006 loss: 1.7006 2022/08/03 14:06:10 - mmengine - INFO - Epoch(train) [22][1460/1879] lr: 1.0000e-02 eta: 2 days, 4:23:48 time: 0.4241 data_time: 0.0124 memory: 17087 grad_norm: 4.9633 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0106 loss: 2.0106 2022/08/03 14:06:18 - mmengine - INFO - Epoch(train) [22][1480/1879] lr: 1.0000e-02 eta: 2 days, 4:23:39 time: 0.4256 data_time: 0.0161 memory: 17087 grad_norm: 4.7745 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8427 loss: 1.8427 2022/08/03 14:06:27 - mmengine - INFO - Epoch(train) [22][1500/1879] lr: 1.0000e-02 eta: 2 days, 4:23:29 time: 0.4222 data_time: 0.0136 memory: 17087 grad_norm: 4.6293 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7192 loss: 1.7192 2022/08/03 14:06:35 - mmengine - INFO - Epoch(train) [22][1520/1879] lr: 1.0000e-02 eta: 2 days, 4:23:21 time: 0.4317 data_time: 0.0149 memory: 17087 grad_norm: 4.8468 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8945 loss: 1.8945 2022/08/03 14:06:44 - mmengine - INFO - Epoch(train) [22][1540/1879] lr: 1.0000e-02 eta: 2 days, 4:23:11 time: 0.4228 data_time: 0.0134 memory: 17087 grad_norm: 4.8105 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8289 loss: 1.8289 2022/08/03 14:06:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:06:53 - mmengine - INFO - Epoch(train) [22][1560/1879] lr: 1.0000e-02 eta: 2 days, 4:23:03 time: 0.4337 data_time: 0.0184 memory: 17087 grad_norm: 4.8412 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8002 loss: 1.8002 2022/08/03 14:07:01 - mmengine - INFO - Epoch(train) [22][1580/1879] lr: 1.0000e-02 eta: 2 days, 4:22:54 time: 0.4230 data_time: 0.0154 memory: 17087 grad_norm: 4.7825 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8077 loss: 1.8077 2022/08/03 14:07:10 - mmengine - INFO - Epoch(train) [22][1600/1879] lr: 1.0000e-02 eta: 2 days, 4:22:47 time: 0.4382 data_time: 0.0164 memory: 17087 grad_norm: 4.7947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6235 loss: 1.6235 2022/08/03 14:07:18 - mmengine - INFO - Epoch(train) [22][1620/1879] lr: 1.0000e-02 eta: 2 days, 4:22:39 time: 0.4320 data_time: 0.0159 memory: 17087 grad_norm: 4.8022 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7651 loss: 1.7651 2022/08/03 14:07:27 - mmengine - INFO - Epoch(train) [22][1640/1879] lr: 1.0000e-02 eta: 2 days, 4:22:30 time: 0.4245 data_time: 0.0160 memory: 17087 grad_norm: 4.7277 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0666 loss: 2.0666 2022/08/03 14:07:36 - mmengine - INFO - Epoch(train) [22][1660/1879] lr: 1.0000e-02 eta: 2 days, 4:22:25 time: 0.4454 data_time: 0.0145 memory: 17087 grad_norm: 4.7607 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8156 loss: 1.8156 2022/08/03 14:07:44 - mmengine - INFO - Epoch(train) [22][1680/1879] lr: 1.0000e-02 eta: 2 days, 4:22:16 time: 0.4253 data_time: 0.0158 memory: 17087 grad_norm: 4.5927 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7242 loss: 1.7242 2022/08/03 14:07:53 - mmengine - INFO - Epoch(train) [22][1700/1879] lr: 1.0000e-02 eta: 2 days, 4:22:08 time: 0.4344 data_time: 0.0144 memory: 17087 grad_norm: 4.7574 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8614 loss: 1.8614 2022/08/03 14:08:02 - mmengine - INFO - Epoch(train) [22][1720/1879] lr: 1.0000e-02 eta: 2 days, 4:21:59 time: 0.4260 data_time: 0.0151 memory: 17087 grad_norm: 4.7530 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8949 loss: 1.8949 2022/08/03 14:08:10 - mmengine - INFO - Epoch(train) [22][1740/1879] lr: 1.0000e-02 eta: 2 days, 4:21:49 time: 0.4216 data_time: 0.0126 memory: 17087 grad_norm: 4.7680 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6995 loss: 1.6995 2022/08/03 14:08:19 - mmengine - INFO - Epoch(train) [22][1760/1879] lr: 1.0000e-02 eta: 2 days, 4:21:41 time: 0.4292 data_time: 0.0166 memory: 17087 grad_norm: 4.8812 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9795 loss: 1.9795 2022/08/03 14:08:27 - mmengine - INFO - Epoch(train) [22][1780/1879] lr: 1.0000e-02 eta: 2 days, 4:21:31 time: 0.4231 data_time: 0.0136 memory: 17087 grad_norm: 4.8550 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6731 loss: 1.6731 2022/08/03 14:08:36 - mmengine - INFO - Epoch(train) [22][1800/1879] lr: 1.0000e-02 eta: 2 days, 4:21:22 time: 0.4287 data_time: 0.0190 memory: 17087 grad_norm: 4.6708 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8782 loss: 1.8782 2022/08/03 14:08:44 - mmengine - INFO - Epoch(train) [22][1820/1879] lr: 1.0000e-02 eta: 2 days, 4:21:12 time: 0.4226 data_time: 0.0161 memory: 17087 grad_norm: 4.7123 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8025 loss: 1.8025 2022/08/03 14:08:53 - mmengine - INFO - Epoch(train) [22][1840/1879] lr: 1.0000e-02 eta: 2 days, 4:21:04 time: 0.4273 data_time: 0.0154 memory: 17087 grad_norm: 4.6965 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7523 loss: 1.7523 2022/08/03 14:09:01 - mmengine - INFO - Epoch(train) [22][1860/1879] lr: 1.0000e-02 eta: 2 days, 4:20:54 time: 0.4222 data_time: 0.0145 memory: 17087 grad_norm: 4.6953 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8706 loss: 1.8706 2022/08/03 14:09:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:09:09 - mmengine - INFO - Epoch(train) [22][1879/1879] lr: 1.0000e-02 eta: 2 days, 4:20:54 time: 0.4051 data_time: 0.0145 memory: 17087 grad_norm: 4.7903 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 2.0731 loss: 2.0731 2022/08/03 14:09:20 - mmengine - INFO - Epoch(train) [23][20/1879] lr: 1.0000e-02 eta: 2 days, 4:19:38 time: 0.5608 data_time: 0.0994 memory: 17087 grad_norm: 4.5774 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8676 loss: 1.8676 2022/08/03 14:09:29 - mmengine - INFO - Epoch(train) [23][40/1879] lr: 1.0000e-02 eta: 2 days, 4:19:31 time: 0.4360 data_time: 0.0147 memory: 17087 grad_norm: 4.6764 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8915 loss: 1.8915 2022/08/03 14:09:37 - mmengine - INFO - Epoch(train) [23][60/1879] lr: 1.0000e-02 eta: 2 days, 4:19:23 time: 0.4312 data_time: 0.0181 memory: 17087 grad_norm: 4.7271 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6963 loss: 1.6963 2022/08/03 14:09:46 - mmengine - INFO - Epoch(train) [23][80/1879] lr: 1.0000e-02 eta: 2 days, 4:19:14 time: 0.4244 data_time: 0.0176 memory: 17087 grad_norm: 4.7515 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6241 loss: 1.6241 2022/08/03 14:09:55 - mmengine - INFO - Epoch(train) [23][100/1879] lr: 1.0000e-02 eta: 2 days, 4:19:10 time: 0.4477 data_time: 0.0149 memory: 17087 grad_norm: 4.7797 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8058 loss: 1.8058 2022/08/03 14:10:04 - mmengine - INFO - Epoch(train) [23][120/1879] lr: 1.0000e-02 eta: 2 days, 4:19:03 time: 0.4376 data_time: 0.0168 memory: 17087 grad_norm: 4.7661 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7807 loss: 1.7807 2022/08/03 14:10:12 - mmengine - INFO - Epoch(train) [23][140/1879] lr: 1.0000e-02 eta: 2 days, 4:18:58 time: 0.4444 data_time: 0.0128 memory: 17087 grad_norm: 4.8475 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6400 loss: 1.6400 2022/08/03 14:10:21 - mmengine - INFO - Epoch(train) [23][160/1879] lr: 1.0000e-02 eta: 2 days, 4:18:48 time: 0.4250 data_time: 0.0177 memory: 17087 grad_norm: 4.8121 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8555 loss: 1.8555 2022/08/03 14:10:30 - mmengine - INFO - Epoch(train) [23][180/1879] lr: 1.0000e-02 eta: 2 days, 4:18:40 time: 0.4312 data_time: 0.0126 memory: 17087 grad_norm: 4.8049 top1_acc: 0.2500 top5_acc: 0.9375 loss_cls: 1.8714 loss: 1.8714 2022/08/03 14:10:38 - mmengine - INFO - Epoch(train) [23][200/1879] lr: 1.0000e-02 eta: 2 days, 4:18:33 time: 0.4337 data_time: 0.0179 memory: 17087 grad_norm: 4.8831 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7176 loss: 1.7176 2022/08/03 14:10:47 - mmengine - INFO - Epoch(train) [23][220/1879] lr: 1.0000e-02 eta: 2 days, 4:18:23 time: 0.4226 data_time: 0.0151 memory: 17087 grad_norm: 4.7573 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7825 loss: 1.7825 2022/08/03 14:10:56 - mmengine - INFO - Epoch(train) [23][240/1879] lr: 1.0000e-02 eta: 2 days, 4:18:20 time: 0.4520 data_time: 0.0180 memory: 17087 grad_norm: 4.7408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7580 loss: 1.7580 2022/08/03 14:11:04 - mmengine - INFO - Epoch(train) [23][260/1879] lr: 1.0000e-02 eta: 2 days, 4:18:11 time: 0.4289 data_time: 0.0198 memory: 17087 grad_norm: 4.7418 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7445 loss: 1.7445 2022/08/03 14:11:13 - mmengine - INFO - Epoch(train) [23][280/1879] lr: 1.0000e-02 eta: 2 days, 4:18:02 time: 0.4270 data_time: 0.0170 memory: 17087 grad_norm: 4.7579 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6563 loss: 1.6563 2022/08/03 14:11:21 - mmengine - INFO - Epoch(train) [23][300/1879] lr: 1.0000e-02 eta: 2 days, 4:17:52 time: 0.4220 data_time: 0.0139 memory: 17087 grad_norm: 4.8048 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8661 loss: 1.8661 2022/08/03 14:11:30 - mmengine - INFO - Epoch(train) [23][320/1879] lr: 1.0000e-02 eta: 2 days, 4:17:43 time: 0.4255 data_time: 0.0166 memory: 17087 grad_norm: 4.8365 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8570 loss: 1.8570 2022/08/03 14:11:39 - mmengine - INFO - Epoch(train) [23][340/1879] lr: 1.0000e-02 eta: 2 days, 4:17:35 time: 0.4328 data_time: 0.0160 memory: 17087 grad_norm: 4.6831 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7698 loss: 1.7698 2022/08/03 14:11:47 - mmengine - INFO - Epoch(train) [23][360/1879] lr: 1.0000e-02 eta: 2 days, 4:17:27 time: 0.4273 data_time: 0.0162 memory: 17087 grad_norm: 4.7115 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9137 loss: 1.9137 2022/08/03 14:11:56 - mmengine - INFO - Epoch(train) [23][380/1879] lr: 1.0000e-02 eta: 2 days, 4:17:21 time: 0.4444 data_time: 0.0142 memory: 17087 grad_norm: 4.7402 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6864 loss: 1.6864 2022/08/03 14:12:04 - mmengine - INFO - Epoch(train) [23][400/1879] lr: 1.0000e-02 eta: 2 days, 4:17:12 time: 0.4260 data_time: 0.0158 memory: 17087 grad_norm: 4.7849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8454 loss: 1.8454 2022/08/03 14:12:13 - mmengine - INFO - Epoch(train) [23][420/1879] lr: 1.0000e-02 eta: 2 days, 4:17:04 time: 0.4277 data_time: 0.0148 memory: 17087 grad_norm: 4.8259 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7168 loss: 1.7168 2022/08/03 14:12:22 - mmengine - INFO - Epoch(train) [23][440/1879] lr: 1.0000e-02 eta: 2 days, 4:16:54 time: 0.4227 data_time: 0.0148 memory: 17087 grad_norm: 4.8189 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9633 loss: 1.9633 2022/08/03 14:12:30 - mmengine - INFO - Epoch(train) [23][460/1879] lr: 1.0000e-02 eta: 2 days, 4:16:44 time: 0.4239 data_time: 0.0138 memory: 17087 grad_norm: 4.7861 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7013 loss: 1.7013 2022/08/03 14:12:38 - mmengine - INFO - Epoch(train) [23][480/1879] lr: 1.0000e-02 eta: 2 days, 4:16:35 time: 0.4255 data_time: 0.0158 memory: 17087 grad_norm: 4.8896 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7768 loss: 1.7768 2022/08/03 14:12:47 - mmengine - INFO - Epoch(train) [23][500/1879] lr: 1.0000e-02 eta: 2 days, 4:16:26 time: 0.4288 data_time: 0.0195 memory: 17087 grad_norm: 4.9173 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7733 loss: 1.7733 2022/08/03 14:12:56 - mmengine - INFO - Epoch(train) [23][520/1879] lr: 1.0000e-02 eta: 2 days, 4:16:19 time: 0.4358 data_time: 0.0157 memory: 17087 grad_norm: 4.6276 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7499 loss: 1.7499 2022/08/03 14:13:04 - mmengine - INFO - Epoch(train) [23][540/1879] lr: 1.0000e-02 eta: 2 days, 4:16:10 time: 0.4249 data_time: 0.0158 memory: 17087 grad_norm: 4.9524 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8392 loss: 1.8392 2022/08/03 14:13:13 - mmengine - INFO - Epoch(train) [23][560/1879] lr: 1.0000e-02 eta: 2 days, 4:16:04 time: 0.4410 data_time: 0.0156 memory: 17087 grad_norm: 4.7526 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8315 loss: 1.8315 2022/08/03 14:13:22 - mmengine - INFO - Epoch(train) [23][580/1879] lr: 1.0000e-02 eta: 2 days, 4:15:54 time: 0.4224 data_time: 0.0140 memory: 17087 grad_norm: 4.7117 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8804 loss: 1.8804 2022/08/03 14:13:30 - mmengine - INFO - Epoch(train) [23][600/1879] lr: 1.0000e-02 eta: 2 days, 4:15:46 time: 0.4314 data_time: 0.0164 memory: 17087 grad_norm: 4.7699 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8311 loss: 1.8311 2022/08/03 14:13:39 - mmengine - INFO - Epoch(train) [23][620/1879] lr: 1.0000e-02 eta: 2 days, 4:15:38 time: 0.4292 data_time: 0.0128 memory: 17087 grad_norm: 4.7900 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7553 loss: 1.7553 2022/08/03 14:13:47 - mmengine - INFO - Epoch(train) [23][640/1879] lr: 1.0000e-02 eta: 2 days, 4:15:29 time: 0.4266 data_time: 0.0188 memory: 17087 grad_norm: 4.9079 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5993 loss: 1.5993 2022/08/03 14:13:56 - mmengine - INFO - Epoch(train) [23][660/1879] lr: 1.0000e-02 eta: 2 days, 4:15:21 time: 0.4304 data_time: 0.0127 memory: 17087 grad_norm: 4.6840 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6236 loss: 1.6236 2022/08/03 14:13:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:14:04 - mmengine - INFO - Epoch(train) [23][680/1879] lr: 1.0000e-02 eta: 2 days, 4:15:12 time: 0.4257 data_time: 0.0171 memory: 17087 grad_norm: 4.7354 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8592 loss: 1.8592 2022/08/03 14:14:13 - mmengine - INFO - Epoch(train) [23][700/1879] lr: 1.0000e-02 eta: 2 days, 4:15:05 time: 0.4373 data_time: 0.0142 memory: 17087 grad_norm: 4.9031 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6590 loss: 1.6590 2022/08/03 14:14:22 - mmengine - INFO - Epoch(train) [23][720/1879] lr: 1.0000e-02 eta: 2 days, 4:14:55 time: 0.4244 data_time: 0.0158 memory: 17087 grad_norm: 4.7741 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9247 loss: 1.9247 2022/08/03 14:14:30 - mmengine - INFO - Epoch(train) [23][740/1879] lr: 1.0000e-02 eta: 2 days, 4:14:47 time: 0.4298 data_time: 0.0140 memory: 17087 grad_norm: 4.7117 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7173 loss: 1.7173 2022/08/03 14:14:39 - mmengine - INFO - Epoch(train) [23][760/1879] lr: 1.0000e-02 eta: 2 days, 4:14:38 time: 0.4246 data_time: 0.0159 memory: 17087 grad_norm: 4.8420 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0545 loss: 2.0545 2022/08/03 14:14:48 - mmengine - INFO - Epoch(train) [23][780/1879] lr: 1.0000e-02 eta: 2 days, 4:14:35 time: 0.4578 data_time: 0.0127 memory: 17087 grad_norm: 4.7036 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0964 loss: 2.0964 2022/08/03 14:14:56 - mmengine - INFO - Epoch(train) [23][800/1879] lr: 1.0000e-02 eta: 2 days, 4:14:26 time: 0.4268 data_time: 0.0163 memory: 17087 grad_norm: 4.7322 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7926 loss: 1.7926 2022/08/03 14:15:05 - mmengine - INFO - Epoch(train) [23][820/1879] lr: 1.0000e-02 eta: 2 days, 4:14:17 time: 0.4241 data_time: 0.0129 memory: 17087 grad_norm: 4.8076 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6783 loss: 1.6783 2022/08/03 14:15:13 - mmengine - INFO - Epoch(train) [23][840/1879] lr: 1.0000e-02 eta: 2 days, 4:14:08 time: 0.4255 data_time: 0.0165 memory: 17087 grad_norm: 4.8004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6295 loss: 1.6295 2022/08/03 14:15:22 - mmengine - INFO - Epoch(train) [23][860/1879] lr: 1.0000e-02 eta: 2 days, 4:13:58 time: 0.4238 data_time: 0.0141 memory: 17087 grad_norm: 4.7730 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7846 loss: 1.7846 2022/08/03 14:15:30 - mmengine - INFO - Epoch(train) [23][880/1879] lr: 1.0000e-02 eta: 2 days, 4:13:49 time: 0.4235 data_time: 0.0164 memory: 17087 grad_norm: 4.7830 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8687 loss: 1.8687 2022/08/03 14:15:39 - mmengine - INFO - Epoch(train) [23][900/1879] lr: 1.0000e-02 eta: 2 days, 4:13:39 time: 0.4232 data_time: 0.0162 memory: 17087 grad_norm: 4.8769 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6688 loss: 1.6688 2022/08/03 14:15:48 - mmengine - INFO - Epoch(train) [23][920/1879] lr: 1.0000e-02 eta: 2 days, 4:13:36 time: 0.4536 data_time: 0.0169 memory: 17087 grad_norm: 4.9506 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8463 loss: 1.8463 2022/08/03 14:15:56 - mmengine - INFO - Epoch(train) [23][940/1879] lr: 1.0000e-02 eta: 2 days, 4:13:26 time: 0.4226 data_time: 0.0131 memory: 17087 grad_norm: 4.8266 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9866 loss: 1.9866 2022/08/03 14:16:05 - mmengine - INFO - Epoch(train) [23][960/1879] lr: 1.0000e-02 eta: 2 days, 4:13:20 time: 0.4406 data_time: 0.0169 memory: 17087 grad_norm: 4.6521 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8284 loss: 1.8284 2022/08/03 14:16:14 - mmengine - INFO - Epoch(train) [23][980/1879] lr: 1.0000e-02 eta: 2 days, 4:13:10 time: 0.4218 data_time: 0.0152 memory: 17087 grad_norm: 4.7724 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9740 loss: 1.9740 2022/08/03 14:16:22 - mmengine - INFO - Epoch(train) [23][1000/1879] lr: 1.0000e-02 eta: 2 days, 4:13:00 time: 0.4252 data_time: 0.0164 memory: 17087 grad_norm: 4.8221 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9307 loss: 1.9307 2022/08/03 14:16:31 - mmengine - INFO - Epoch(train) [23][1020/1879] lr: 1.0000e-02 eta: 2 days, 4:12:56 time: 0.4501 data_time: 0.0139 memory: 17087 grad_norm: 4.7484 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8503 loss: 1.8503 2022/08/03 14:16:40 - mmengine - INFO - Epoch(train) [23][1040/1879] lr: 1.0000e-02 eta: 2 days, 4:12:48 time: 0.4310 data_time: 0.0240 memory: 17087 grad_norm: 4.7562 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6651 loss: 1.6651 2022/08/03 14:16:49 - mmengine - INFO - Epoch(train) [23][1060/1879] lr: 1.0000e-02 eta: 2 days, 4:12:45 time: 0.4533 data_time: 0.0152 memory: 17087 grad_norm: 4.9510 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9052 loss: 1.9052 2022/08/03 14:16:58 - mmengine - INFO - Epoch(train) [23][1080/1879] lr: 1.0000e-02 eta: 2 days, 4:12:37 time: 0.4303 data_time: 0.0214 memory: 17087 grad_norm: 4.8339 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7670 loss: 1.7670 2022/08/03 14:17:06 - mmengine - INFO - Epoch(train) [23][1100/1879] lr: 1.0000e-02 eta: 2 days, 4:12:28 time: 0.4261 data_time: 0.0140 memory: 17087 grad_norm: 4.6793 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8106 loss: 1.8106 2022/08/03 14:17:15 - mmengine - INFO - Epoch(train) [23][1120/1879] lr: 1.0000e-02 eta: 2 days, 4:12:19 time: 0.4262 data_time: 0.0157 memory: 17087 grad_norm: 4.7621 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8264 loss: 1.8264 2022/08/03 14:17:23 - mmengine - INFO - Epoch(train) [23][1140/1879] lr: 1.0000e-02 eta: 2 days, 4:12:09 time: 0.4257 data_time: 0.0141 memory: 17087 grad_norm: 4.9910 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9221 loss: 1.9221 2022/08/03 14:17:32 - mmengine - INFO - Epoch(train) [23][1160/1879] lr: 1.0000e-02 eta: 2 days, 4:12:00 time: 0.4236 data_time: 0.0158 memory: 17087 grad_norm: 4.8734 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0408 loss: 2.0408 2022/08/03 14:17:40 - mmengine - INFO - Epoch(train) [23][1180/1879] lr: 1.0000e-02 eta: 2 days, 4:11:50 time: 0.4233 data_time: 0.0136 memory: 17087 grad_norm: 4.7978 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8503 loss: 1.8503 2022/08/03 14:17:49 - mmengine - INFO - Epoch(train) [23][1200/1879] lr: 1.0000e-02 eta: 2 days, 4:11:42 time: 0.4291 data_time: 0.0165 memory: 17087 grad_norm: 4.8353 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9236 loss: 1.9236 2022/08/03 14:17:57 - mmengine - INFO - Epoch(train) [23][1220/1879] lr: 1.0000e-02 eta: 2 days, 4:11:32 time: 0.4225 data_time: 0.0130 memory: 17087 grad_norm: 4.7337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6691 loss: 1.6691 2022/08/03 14:18:06 - mmengine - INFO - Epoch(train) [23][1240/1879] lr: 1.0000e-02 eta: 2 days, 4:11:23 time: 0.4279 data_time: 0.0178 memory: 17087 grad_norm: 4.7263 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7447 loss: 1.7447 2022/08/03 14:18:14 - mmengine - INFO - Epoch(train) [23][1260/1879] lr: 1.0000e-02 eta: 2 days, 4:11:14 time: 0.4234 data_time: 0.0138 memory: 17087 grad_norm: 4.7538 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7857 loss: 1.7857 2022/08/03 14:18:23 - mmengine - INFO - Epoch(train) [23][1280/1879] lr: 1.0000e-02 eta: 2 days, 4:11:05 time: 0.4301 data_time: 0.0158 memory: 17087 grad_norm: 4.8645 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8615 loss: 1.8615 2022/08/03 14:18:32 - mmengine - INFO - Epoch(train) [23][1300/1879] lr: 1.0000e-02 eta: 2 days, 4:11:00 time: 0.4435 data_time: 0.0134 memory: 17087 grad_norm: 4.7083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7239 loss: 1.7239 2022/08/03 14:18:40 - mmengine - INFO - Epoch(train) [23][1320/1879] lr: 1.0000e-02 eta: 2 days, 4:10:51 time: 0.4265 data_time: 0.0157 memory: 17087 grad_norm: 4.8042 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6821 loss: 1.6821 2022/08/03 14:18:49 - mmengine - INFO - Epoch(train) [23][1340/1879] lr: 1.0000e-02 eta: 2 days, 4:10:46 time: 0.4487 data_time: 0.0144 memory: 17087 grad_norm: 4.7650 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8651 loss: 1.8651 2022/08/03 14:18:58 - mmengine - INFO - Epoch(train) [23][1360/1879] lr: 1.0000e-02 eta: 2 days, 4:10:37 time: 0.4261 data_time: 0.0161 memory: 17087 grad_norm: 4.8548 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8417 loss: 1.8417 2022/08/03 14:19:06 - mmengine - INFO - Epoch(train) [23][1380/1879] lr: 1.0000e-02 eta: 2 days, 4:10:29 time: 0.4305 data_time: 0.0138 memory: 17087 grad_norm: 4.9908 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8644 loss: 1.8644 2022/08/03 14:19:15 - mmengine - INFO - Epoch(train) [23][1400/1879] lr: 1.0000e-02 eta: 2 days, 4:10:20 time: 0.4240 data_time: 0.0153 memory: 17087 grad_norm: 4.7887 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8096 loss: 1.8096 2022/08/03 14:19:24 - mmengine - INFO - Epoch(train) [23][1420/1879] lr: 1.0000e-02 eta: 2 days, 4:10:16 time: 0.4536 data_time: 0.0144 memory: 17087 grad_norm: 4.8301 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8448 loss: 1.8448 2022/08/03 14:19:32 - mmengine - INFO - Epoch(train) [23][1440/1879] lr: 1.0000e-02 eta: 2 days, 4:10:07 time: 0.4242 data_time: 0.0154 memory: 17087 grad_norm: 4.6957 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7939 loss: 1.7939 2022/08/03 14:19:41 - mmengine - INFO - Epoch(train) [23][1460/1879] lr: 1.0000e-02 eta: 2 days, 4:09:57 time: 0.4231 data_time: 0.0137 memory: 17087 grad_norm: 4.7510 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9777 loss: 1.9777 2022/08/03 14:19:49 - mmengine - INFO - Epoch(train) [23][1480/1879] lr: 1.0000e-02 eta: 2 days, 4:09:50 time: 0.4347 data_time: 0.0176 memory: 17087 grad_norm: 4.6491 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8941 loss: 1.8941 2022/08/03 14:19:58 - mmengine - INFO - Epoch(train) [23][1500/1879] lr: 1.0000e-02 eta: 2 days, 4:09:40 time: 0.4223 data_time: 0.0123 memory: 17087 grad_norm: 4.9864 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7013 loss: 1.7013 2022/08/03 14:20:07 - mmengine - INFO - Epoch(train) [23][1520/1879] lr: 1.0000e-02 eta: 2 days, 4:09:38 time: 0.4618 data_time: 0.0153 memory: 17087 grad_norm: 4.9052 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8847 loss: 1.8847 2022/08/03 14:20:16 - mmengine - INFO - Epoch(train) [23][1540/1879] lr: 1.0000e-02 eta: 2 days, 4:09:29 time: 0.4240 data_time: 0.0140 memory: 17087 grad_norm: 4.8404 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0661 loss: 2.0661 2022/08/03 14:20:25 - mmengine - INFO - Epoch(train) [23][1560/1879] lr: 1.0000e-02 eta: 2 days, 4:09:23 time: 0.4453 data_time: 0.0160 memory: 17087 grad_norm: 4.7817 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8634 loss: 1.8634 2022/08/03 14:20:33 - mmengine - INFO - Epoch(train) [23][1580/1879] lr: 1.0000e-02 eta: 2 days, 4:09:14 time: 0.4225 data_time: 0.0126 memory: 17087 grad_norm: 4.8404 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8274 loss: 1.8274 2022/08/03 14:20:42 - mmengine - INFO - Epoch(train) [23][1600/1879] lr: 1.0000e-02 eta: 2 days, 4:09:05 time: 0.4283 data_time: 0.0201 memory: 17087 grad_norm: 4.8058 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8994 loss: 1.8994 2022/08/03 14:20:51 - mmengine - INFO - Epoch(train) [23][1620/1879] lr: 1.0000e-02 eta: 2 days, 4:09:01 time: 0.4513 data_time: 0.0130 memory: 17087 grad_norm: 4.6446 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8792 loss: 1.8792 2022/08/03 14:20:59 - mmengine - INFO - Epoch(train) [23][1640/1879] lr: 1.0000e-02 eta: 2 days, 4:08:53 time: 0.4309 data_time: 0.0221 memory: 17087 grad_norm: 4.7810 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1144 loss: 2.1144 2022/08/03 14:21:08 - mmengine - INFO - Epoch(train) [23][1660/1879] lr: 1.0000e-02 eta: 2 days, 4:08:44 time: 0.4283 data_time: 0.0139 memory: 17087 grad_norm: 4.6655 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9612 loss: 1.9612 2022/08/03 14:21:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:21:16 - mmengine - INFO - Epoch(train) [23][1680/1879] lr: 1.0000e-02 eta: 2 days, 4:08:36 time: 0.4296 data_time: 0.0205 memory: 17087 grad_norm: 4.7977 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6560 loss: 1.6560 2022/08/03 14:21:25 - mmengine - INFO - Epoch(train) [23][1700/1879] lr: 1.0000e-02 eta: 2 days, 4:08:31 time: 0.4476 data_time: 0.0166 memory: 17087 grad_norm: 4.8706 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8751 loss: 1.8751 2022/08/03 14:21:34 - mmengine - INFO - Epoch(train) [23][1720/1879] lr: 1.0000e-02 eta: 2 days, 4:08:23 time: 0.4286 data_time: 0.0203 memory: 17087 grad_norm: 4.7065 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8941 loss: 1.8941 2022/08/03 14:21:42 - mmengine - INFO - Epoch(train) [23][1740/1879] lr: 1.0000e-02 eta: 2 days, 4:08:13 time: 0.4224 data_time: 0.0129 memory: 17087 grad_norm: 4.7429 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8313 loss: 1.8313 2022/08/03 14:21:51 - mmengine - INFO - Epoch(train) [23][1760/1879] lr: 1.0000e-02 eta: 2 days, 4:08:05 time: 0.4319 data_time: 0.0190 memory: 17087 grad_norm: 4.7552 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7196 loss: 1.7196 2022/08/03 14:21:59 - mmengine - INFO - Epoch(train) [23][1780/1879] lr: 1.0000e-02 eta: 2 days, 4:07:56 time: 0.4247 data_time: 0.0158 memory: 17087 grad_norm: 4.5577 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6757 loss: 1.6757 2022/08/03 14:22:08 - mmengine - INFO - Epoch(train) [23][1800/1879] lr: 1.0000e-02 eta: 2 days, 4:07:47 time: 0.4256 data_time: 0.0168 memory: 17087 grad_norm: 4.8362 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9181 loss: 1.9181 2022/08/03 14:22:17 - mmengine - INFO - Epoch(train) [23][1820/1879] lr: 1.0000e-02 eta: 2 days, 4:07:39 time: 0.4351 data_time: 0.0253 memory: 17087 grad_norm: 4.6962 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.9930 loss: 1.9930 2022/08/03 14:22:25 - mmengine - INFO - Epoch(train) [23][1840/1879] lr: 1.0000e-02 eta: 2 days, 4:07:30 time: 0.4253 data_time: 0.0160 memory: 17087 grad_norm: 4.6673 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7884 loss: 1.7884 2022/08/03 14:22:34 - mmengine - INFO - Epoch(train) [23][1860/1879] lr: 1.0000e-02 eta: 2 days, 4:07:24 time: 0.4409 data_time: 0.0146 memory: 17087 grad_norm: 4.8210 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8769 loss: 1.8769 2022/08/03 14:22:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:22:42 - mmengine - INFO - Epoch(train) [23][1879/1879] lr: 1.0000e-02 eta: 2 days, 4:07:24 time: 0.4070 data_time: 0.0149 memory: 17087 grad_norm: 4.8613 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.6375 loss: 1.6375 2022/08/03 14:22:53 - mmengine - INFO - Epoch(train) [24][20/1879] lr: 1.0000e-02 eta: 2 days, 4:06:12 time: 0.5613 data_time: 0.1105 memory: 17087 grad_norm: 4.6601 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7401 loss: 1.7401 2022/08/03 14:23:02 - mmengine - INFO - Epoch(train) [24][40/1879] lr: 1.0000e-02 eta: 2 days, 4:06:04 time: 0.4326 data_time: 0.0177 memory: 17087 grad_norm: 4.7770 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7872 loss: 1.7872 2022/08/03 14:23:10 - mmengine - INFO - Epoch(train) [24][60/1879] lr: 1.0000e-02 eta: 2 days, 4:05:54 time: 0.4237 data_time: 0.0134 memory: 17087 grad_norm: 4.8000 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8303 loss: 1.8303 2022/08/03 14:23:19 - mmengine - INFO - Epoch(train) [24][80/1879] lr: 1.0000e-02 eta: 2 days, 4:05:47 time: 0.4347 data_time: 0.0172 memory: 17087 grad_norm: 4.7094 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8498 loss: 1.8498 2022/08/03 14:23:27 - mmengine - INFO - Epoch(train) [24][100/1879] lr: 1.0000e-02 eta: 2 days, 4:05:37 time: 0.4219 data_time: 0.0136 memory: 17087 grad_norm: 4.8585 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8539 loss: 1.8539 2022/08/03 14:23:36 - mmengine - INFO - Epoch(train) [24][120/1879] lr: 1.0000e-02 eta: 2 days, 4:05:31 time: 0.4403 data_time: 0.0174 memory: 17087 grad_norm: 4.6592 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8163 loss: 1.8163 2022/08/03 14:23:44 - mmengine - INFO - Epoch(train) [24][140/1879] lr: 1.0000e-02 eta: 2 days, 4:05:21 time: 0.4228 data_time: 0.0140 memory: 17087 grad_norm: 4.7248 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8230 loss: 1.8230 2022/08/03 14:23:53 - mmengine - INFO - Epoch(train) [24][160/1879] lr: 1.0000e-02 eta: 2 days, 4:05:12 time: 0.4250 data_time: 0.0165 memory: 17087 grad_norm: 4.7431 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0108 loss: 2.0108 2022/08/03 14:24:02 - mmengine - INFO - Epoch(train) [24][180/1879] lr: 1.0000e-02 eta: 2 days, 4:05:04 time: 0.4300 data_time: 0.0135 memory: 17087 grad_norm: 4.6749 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9116 loss: 1.9116 2022/08/03 14:24:10 - mmengine - INFO - Epoch(train) [24][200/1879] lr: 1.0000e-02 eta: 2 days, 4:04:55 time: 0.4285 data_time: 0.0204 memory: 17087 grad_norm: 4.6214 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9473 loss: 1.9473 2022/08/03 14:24:19 - mmengine - INFO - Epoch(train) [24][220/1879] lr: 1.0000e-02 eta: 2 days, 4:04:52 time: 0.4546 data_time: 0.0145 memory: 17087 grad_norm: 4.7591 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9299 loss: 1.9299 2022/08/03 14:24:28 - mmengine - INFO - Epoch(train) [24][240/1879] lr: 1.0000e-02 eta: 2 days, 4:04:43 time: 0.4269 data_time: 0.0164 memory: 17087 grad_norm: 4.6864 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7555 loss: 1.7555 2022/08/03 14:24:36 - mmengine - INFO - Epoch(train) [24][260/1879] lr: 1.0000e-02 eta: 2 days, 4:04:33 time: 0.4230 data_time: 0.0129 memory: 17087 grad_norm: 4.8180 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9784 loss: 1.9784 2022/08/03 14:24:45 - mmengine - INFO - Epoch(train) [24][280/1879] lr: 1.0000e-02 eta: 2 days, 4:04:25 time: 0.4311 data_time: 0.0183 memory: 17087 grad_norm: 4.7871 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8120 loss: 1.8120 2022/08/03 14:24:53 - mmengine - INFO - Epoch(train) [24][300/1879] lr: 1.0000e-02 eta: 2 days, 4:04:16 time: 0.4244 data_time: 0.0120 memory: 17087 grad_norm: 4.8627 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8212 loss: 1.8212 2022/08/03 14:25:02 - mmengine - INFO - Epoch(train) [24][320/1879] lr: 1.0000e-02 eta: 2 days, 4:04:07 time: 0.4246 data_time: 0.0148 memory: 17087 grad_norm: 4.6942 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7436 loss: 1.7436 2022/08/03 14:25:11 - mmengine - INFO - Epoch(train) [24][340/1879] lr: 1.0000e-02 eta: 2 days, 4:03:58 time: 0.4305 data_time: 0.0144 memory: 17087 grad_norm: 4.6982 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5959 loss: 1.5959 2022/08/03 14:25:19 - mmengine - INFO - Epoch(train) [24][360/1879] lr: 1.0000e-02 eta: 2 days, 4:03:52 time: 0.4398 data_time: 0.0163 memory: 17087 grad_norm: 4.7311 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9368 loss: 1.9368 2022/08/03 14:25:28 - mmengine - INFO - Epoch(train) [24][380/1879] lr: 1.0000e-02 eta: 2 days, 4:03:45 time: 0.4331 data_time: 0.0156 memory: 17087 grad_norm: 4.6448 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8134 loss: 1.8134 2022/08/03 14:25:37 - mmengine - INFO - Epoch(train) [24][400/1879] lr: 1.0000e-02 eta: 2 days, 4:03:36 time: 0.4303 data_time: 0.0175 memory: 17087 grad_norm: 4.7941 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8157 loss: 1.8157 2022/08/03 14:25:45 - mmengine - INFO - Epoch(train) [24][420/1879] lr: 1.0000e-02 eta: 2 days, 4:03:28 time: 0.4282 data_time: 0.0195 memory: 17087 grad_norm: 4.8392 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8392 loss: 1.8392 2022/08/03 14:25:54 - mmengine - INFO - Epoch(train) [24][440/1879] lr: 1.0000e-02 eta: 2 days, 4:03:19 time: 0.4295 data_time: 0.0159 memory: 17087 grad_norm: 4.8788 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8905 loss: 1.8905 2022/08/03 14:26:02 - mmengine - INFO - Epoch(train) [24][460/1879] lr: 1.0000e-02 eta: 2 days, 4:03:10 time: 0.4242 data_time: 0.0151 memory: 17087 grad_norm: 4.7214 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8761 loss: 1.8761 2022/08/03 14:26:11 - mmengine - INFO - Epoch(train) [24][480/1879] lr: 1.0000e-02 eta: 2 days, 4:03:04 time: 0.4417 data_time: 0.0172 memory: 17087 grad_norm: 4.7708 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8152 loss: 1.8152 2022/08/03 14:26:20 - mmengine - INFO - Epoch(train) [24][500/1879] lr: 1.0000e-02 eta: 2 days, 4:02:55 time: 0.4268 data_time: 0.0177 memory: 17087 grad_norm: 4.7018 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8831 loss: 1.8831 2022/08/03 14:26:28 - mmengine - INFO - Epoch(train) [24][520/1879] lr: 1.0000e-02 eta: 2 days, 4:02:46 time: 0.4279 data_time: 0.0170 memory: 17087 grad_norm: 4.7676 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7369 loss: 1.7369 2022/08/03 14:26:37 - mmengine - INFO - Epoch(train) [24][540/1879] lr: 1.0000e-02 eta: 2 days, 4:02:38 time: 0.4275 data_time: 0.0145 memory: 17087 grad_norm: 4.7746 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8065 loss: 1.8065 2022/08/03 14:26:45 - mmengine - INFO - Epoch(train) [24][560/1879] lr: 1.0000e-02 eta: 2 days, 4:02:29 time: 0.4301 data_time: 0.0198 memory: 17087 grad_norm: 4.7375 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8318 loss: 1.8318 2022/08/03 14:26:54 - mmengine - INFO - Epoch(train) [24][580/1879] lr: 1.0000e-02 eta: 2 days, 4:02:25 time: 0.4512 data_time: 0.0138 memory: 17087 grad_norm: 4.7447 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5457 loss: 1.5457 2022/08/03 14:27:03 - mmengine - INFO - Epoch(train) [24][600/1879] lr: 1.0000e-02 eta: 2 days, 4:02:16 time: 0.4244 data_time: 0.0157 memory: 17087 grad_norm: 4.9118 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7582 loss: 1.7582 2022/08/03 14:27:11 - mmengine - INFO - Epoch(train) [24][620/1879] lr: 1.0000e-02 eta: 2 days, 4:02:08 time: 0.4299 data_time: 0.0143 memory: 17087 grad_norm: 4.7758 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9333 loss: 1.9333 2022/08/03 14:27:20 - mmengine - INFO - Epoch(train) [24][640/1879] lr: 1.0000e-02 eta: 2 days, 4:01:58 time: 0.4254 data_time: 0.0152 memory: 17087 grad_norm: 4.7218 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7085 loss: 1.7085 2022/08/03 14:27:28 - mmengine - INFO - Epoch(train) [24][660/1879] lr: 1.0000e-02 eta: 2 days, 4:01:49 time: 0.4248 data_time: 0.0153 memory: 17087 grad_norm: 4.8382 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7185 loss: 1.7185 2022/08/03 14:27:37 - mmengine - INFO - Epoch(train) [24][680/1879] lr: 1.0000e-02 eta: 2 days, 4:01:40 time: 0.4261 data_time: 0.0162 memory: 17087 grad_norm: 4.8386 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8009 loss: 1.8009 2022/08/03 14:27:46 - mmengine - INFO - Epoch(train) [24][700/1879] lr: 1.0000e-02 eta: 2 days, 4:01:32 time: 0.4290 data_time: 0.0151 memory: 17087 grad_norm: 4.7526 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7794 loss: 1.7794 2022/08/03 14:27:54 - mmengine - INFO - Epoch(train) [24][720/1879] lr: 1.0000e-02 eta: 2 days, 4:01:23 time: 0.4275 data_time: 0.0157 memory: 17087 grad_norm: 4.9930 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8259 loss: 1.8259 2022/08/03 14:28:03 - mmengine - INFO - Epoch(train) [24][740/1879] lr: 1.0000e-02 eta: 2 days, 4:01:13 time: 0.4217 data_time: 0.0134 memory: 17087 grad_norm: 4.9749 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 1.9614 loss: 1.9614 2022/08/03 14:28:11 - mmengine - INFO - Epoch(train) [24][760/1879] lr: 1.0000e-02 eta: 2 days, 4:01:04 time: 0.4255 data_time: 0.0164 memory: 17087 grad_norm: 4.9339 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9405 loss: 1.9405 2022/08/03 14:28:20 - mmengine - INFO - Epoch(train) [24][780/1879] lr: 1.0000e-02 eta: 2 days, 4:00:55 time: 0.4250 data_time: 0.0146 memory: 17087 grad_norm: 4.7628 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9913 loss: 1.9913 2022/08/03 14:28:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:28:28 - mmengine - INFO - Epoch(train) [24][800/1879] lr: 1.0000e-02 eta: 2 days, 4:00:46 time: 0.4261 data_time: 0.0154 memory: 17087 grad_norm: 4.6460 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7184 loss: 1.7184 2022/08/03 14:28:37 - mmengine - INFO - Epoch(train) [24][820/1879] lr: 1.0000e-02 eta: 2 days, 4:00:39 time: 0.4394 data_time: 0.0144 memory: 17087 grad_norm: 4.6269 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8247 loss: 1.8247 2022/08/03 14:28:46 - mmengine - INFO - Epoch(train) [24][840/1879] lr: 1.0000e-02 eta: 2 days, 4:00:31 time: 0.4310 data_time: 0.0200 memory: 17087 grad_norm: 4.6761 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6513 loss: 1.6513 2022/08/03 14:28:55 - mmengine - INFO - Epoch(train) [24][860/1879] lr: 1.0000e-02 eta: 2 days, 4:00:27 time: 0.4537 data_time: 0.0145 memory: 17087 grad_norm: 4.6555 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.8254 loss: 1.8254 2022/08/03 14:29:03 - mmengine - INFO - Epoch(train) [24][880/1879] lr: 1.0000e-02 eta: 2 days, 4:00:18 time: 0.4239 data_time: 0.0156 memory: 17087 grad_norm: 4.8062 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9044 loss: 1.9044 2022/08/03 14:29:12 - mmengine - INFO - Epoch(train) [24][900/1879] lr: 1.0000e-02 eta: 2 days, 4:00:10 time: 0.4294 data_time: 0.0178 memory: 17087 grad_norm: 4.8422 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8396 loss: 1.8396 2022/08/03 14:29:20 - mmengine - INFO - Epoch(train) [24][920/1879] lr: 1.0000e-02 eta: 2 days, 4:00:03 time: 0.4405 data_time: 0.0168 memory: 17087 grad_norm: 4.8027 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7775 loss: 1.7775 2022/08/03 14:29:29 - mmengine - INFO - Epoch(train) [24][940/1879] lr: 1.0000e-02 eta: 2 days, 3:59:55 time: 0.4290 data_time: 0.0131 memory: 17087 grad_norm: 4.6634 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6224 loss: 1.6224 2022/08/03 14:29:38 - mmengine - INFO - Epoch(train) [24][960/1879] lr: 1.0000e-02 eta: 2 days, 3:59:46 time: 0.4278 data_time: 0.0171 memory: 17087 grad_norm: 4.7000 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7304 loss: 1.7304 2022/08/03 14:29:46 - mmengine - INFO - Epoch(train) [24][980/1879] lr: 1.0000e-02 eta: 2 days, 3:59:37 time: 0.4256 data_time: 0.0143 memory: 17087 grad_norm: 4.7790 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9514 loss: 1.9514 2022/08/03 14:29:55 - mmengine - INFO - Epoch(train) [24][1000/1879] lr: 1.0000e-02 eta: 2 days, 3:59:28 time: 0.4276 data_time: 0.0164 memory: 17087 grad_norm: 4.7512 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9892 loss: 1.9892 2022/08/03 14:30:03 - mmengine - INFO - Epoch(train) [24][1020/1879] lr: 1.0000e-02 eta: 2 days, 3:59:19 time: 0.4236 data_time: 0.0146 memory: 17087 grad_norm: 4.7224 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8002 loss: 1.8002 2022/08/03 14:30:12 - mmengine - INFO - Epoch(train) [24][1040/1879] lr: 1.0000e-02 eta: 2 days, 3:59:10 time: 0.4268 data_time: 0.0171 memory: 17087 grad_norm: 4.7453 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7942 loss: 1.7942 2022/08/03 14:30:20 - mmengine - INFO - Epoch(train) [24][1060/1879] lr: 1.0000e-02 eta: 2 days, 3:59:01 time: 0.4242 data_time: 0.0154 memory: 17087 grad_norm: 4.8669 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8158 loss: 1.8158 2022/08/03 14:30:29 - mmengine - INFO - Epoch(train) [24][1080/1879] lr: 1.0000e-02 eta: 2 days, 3:58:52 time: 0.4289 data_time: 0.0196 memory: 17087 grad_norm: 4.6680 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9215 loss: 1.9215 2022/08/03 14:30:37 - mmengine - INFO - Epoch(train) [24][1100/1879] lr: 1.0000e-02 eta: 2 days, 3:58:43 time: 0.4252 data_time: 0.0142 memory: 17087 grad_norm: 4.8369 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6959 loss: 1.6959 2022/08/03 14:30:46 - mmengine - INFO - Epoch(train) [24][1120/1879] lr: 1.0000e-02 eta: 2 days, 3:58:34 time: 0.4292 data_time: 0.0203 memory: 17087 grad_norm: 4.7589 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7012 loss: 1.7012 2022/08/03 14:30:54 - mmengine - INFO - Epoch(train) [24][1140/1879] lr: 1.0000e-02 eta: 2 days, 3:58:25 time: 0.4241 data_time: 0.0149 memory: 17087 grad_norm: 4.8428 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9640 loss: 1.9640 2022/08/03 14:31:03 - mmengine - INFO - Epoch(train) [24][1160/1879] lr: 1.0000e-02 eta: 2 days, 3:58:15 time: 0.4238 data_time: 0.0149 memory: 17087 grad_norm: 4.7950 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0257 loss: 2.0257 2022/08/03 14:31:11 - mmengine - INFO - Epoch(train) [24][1180/1879] lr: 1.0000e-02 eta: 2 days, 3:58:06 time: 0.4238 data_time: 0.0148 memory: 17087 grad_norm: 4.7974 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9629 loss: 1.9629 2022/08/03 14:31:20 - mmengine - INFO - Epoch(train) [24][1200/1879] lr: 1.0000e-02 eta: 2 days, 3:57:57 time: 0.4246 data_time: 0.0163 memory: 17087 grad_norm: 4.7818 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0301 loss: 2.0301 2022/08/03 14:31:28 - mmengine - INFO - Epoch(train) [24][1220/1879] lr: 1.0000e-02 eta: 2 days, 3:57:48 time: 0.4264 data_time: 0.0146 memory: 17087 grad_norm: 4.7583 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8518 loss: 1.8518 2022/08/03 14:31:37 - mmengine - INFO - Epoch(train) [24][1240/1879] lr: 1.0000e-02 eta: 2 days, 3:57:44 time: 0.4529 data_time: 0.0181 memory: 17087 grad_norm: 4.6931 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6564 loss: 1.6564 2022/08/03 14:31:46 - mmengine - INFO - Epoch(train) [24][1260/1879] lr: 1.0000e-02 eta: 2 days, 3:57:35 time: 0.4277 data_time: 0.0182 memory: 17087 grad_norm: 4.8501 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.7730 loss: 1.7730 2022/08/03 14:31:54 - mmengine - INFO - Epoch(train) [24][1280/1879] lr: 1.0000e-02 eta: 2 days, 3:57:26 time: 0.4244 data_time: 0.0165 memory: 17087 grad_norm: 4.7314 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8710 loss: 1.8710 2022/08/03 14:32:03 - mmengine - INFO - Epoch(train) [24][1300/1879] lr: 1.0000e-02 eta: 2 days, 3:57:16 time: 0.4213 data_time: 0.0142 memory: 17087 grad_norm: 4.7799 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8459 loss: 1.8459 2022/08/03 14:32:11 - mmengine - INFO - Epoch(train) [24][1320/1879] lr: 1.0000e-02 eta: 2 days, 3:57:06 time: 0.4243 data_time: 0.0172 memory: 17087 grad_norm: 4.7197 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6073 loss: 1.6073 2022/08/03 14:32:20 - mmengine - INFO - Epoch(train) [24][1340/1879] lr: 1.0000e-02 eta: 2 days, 3:57:02 time: 0.4517 data_time: 0.0146 memory: 17087 grad_norm: 4.8244 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7753 loss: 1.7753 2022/08/03 14:32:29 - mmengine - INFO - Epoch(train) [24][1360/1879] lr: 1.0000e-02 eta: 2 days, 3:56:54 time: 0.4297 data_time: 0.0214 memory: 17087 grad_norm: 4.6885 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9517 loss: 1.9517 2022/08/03 14:32:38 - mmengine - INFO - Epoch(train) [24][1380/1879] lr: 1.0000e-02 eta: 2 days, 3:56:46 time: 0.4284 data_time: 0.0148 memory: 17087 grad_norm: 4.8518 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8419 loss: 1.8419 2022/08/03 14:32:46 - mmengine - INFO - Epoch(train) [24][1400/1879] lr: 1.0000e-02 eta: 2 days, 3:56:37 time: 0.4289 data_time: 0.0168 memory: 17087 grad_norm: 4.8063 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7968 loss: 1.7968 2022/08/03 14:32:55 - mmengine - INFO - Epoch(train) [24][1420/1879] lr: 1.0000e-02 eta: 2 days, 3:56:30 time: 0.4371 data_time: 0.0142 memory: 17087 grad_norm: 4.6903 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6669 loss: 1.6669 2022/08/03 14:33:03 - mmengine - INFO - Epoch(train) [24][1440/1879] lr: 1.0000e-02 eta: 2 days, 3:56:21 time: 0.4237 data_time: 0.0152 memory: 17087 grad_norm: 4.7639 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9023 loss: 1.9023 2022/08/03 14:33:12 - mmengine - INFO - Epoch(train) [24][1460/1879] lr: 1.0000e-02 eta: 2 days, 3:56:12 time: 0.4290 data_time: 0.0186 memory: 17087 grad_norm: 4.8212 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5998 loss: 1.5998 2022/08/03 14:33:20 - mmengine - INFO - Epoch(train) [24][1480/1879] lr: 1.0000e-02 eta: 2 days, 3:56:03 time: 0.4260 data_time: 0.0158 memory: 17087 grad_norm: 4.6260 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6264 loss: 1.6264 2022/08/03 14:33:29 - mmengine - INFO - Epoch(train) [24][1500/1879] lr: 1.0000e-02 eta: 2 days, 3:55:54 time: 0.4270 data_time: 0.0139 memory: 17087 grad_norm: 4.6515 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6621 loss: 1.6621 2022/08/03 14:33:38 - mmengine - INFO - Epoch(train) [24][1520/1879] lr: 1.0000e-02 eta: 2 days, 3:55:45 time: 0.4258 data_time: 0.0172 memory: 17087 grad_norm: 4.7542 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8849 loss: 1.8849 2022/08/03 14:33:46 - mmengine - INFO - Epoch(train) [24][1540/1879] lr: 1.0000e-02 eta: 2 days, 3:55:36 time: 0.4244 data_time: 0.0147 memory: 17087 grad_norm: 4.6226 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9248 loss: 1.9248 2022/08/03 14:33:55 - mmengine - INFO - Epoch(train) [24][1560/1879] lr: 1.0000e-02 eta: 2 days, 3:55:31 time: 0.4463 data_time: 0.0167 memory: 17087 grad_norm: 4.7624 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8836 loss: 1.8836 2022/08/03 14:34:03 - mmengine - INFO - Epoch(train) [24][1580/1879] lr: 1.0000e-02 eta: 2 days, 3:55:21 time: 0.4205 data_time: 0.0135 memory: 17087 grad_norm: 4.7155 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6344 loss: 1.6344 2022/08/03 14:34:12 - mmengine - INFO - Epoch(train) [24][1600/1879] lr: 1.0000e-02 eta: 2 days, 3:55:12 time: 0.4308 data_time: 0.0197 memory: 17087 grad_norm: 4.8381 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8571 loss: 1.8571 2022/08/03 14:34:21 - mmengine - INFO - Epoch(train) [24][1620/1879] lr: 1.0000e-02 eta: 2 days, 3:55:08 time: 0.4522 data_time: 0.0156 memory: 17087 grad_norm: 4.7996 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5942 loss: 1.5942 2022/08/03 14:34:30 - mmengine - INFO - Epoch(train) [24][1640/1879] lr: 1.0000e-02 eta: 2 days, 3:55:00 time: 0.4290 data_time: 0.0149 memory: 17087 grad_norm: 4.9131 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7589 loss: 1.7589 2022/08/03 14:34:38 - mmengine - INFO - Epoch(train) [24][1660/1879] lr: 1.0000e-02 eta: 2 days, 3:54:51 time: 0.4257 data_time: 0.0143 memory: 17087 grad_norm: 4.7698 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8882 loss: 1.8882 2022/08/03 14:34:47 - mmengine - INFO - Epoch(train) [24][1680/1879] lr: 1.0000e-02 eta: 2 days, 3:54:42 time: 0.4263 data_time: 0.0154 memory: 17087 grad_norm: 4.7368 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8887 loss: 1.8887 2022/08/03 14:34:55 - mmengine - INFO - Epoch(train) [24][1700/1879] lr: 1.0000e-02 eta: 2 days, 3:54:32 time: 0.4235 data_time: 0.0126 memory: 17087 grad_norm: 4.7203 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8814 loss: 1.8814 2022/08/03 14:35:04 - mmengine - INFO - Epoch(train) [24][1720/1879] lr: 1.0000e-02 eta: 2 days, 3:54:23 time: 0.4251 data_time: 0.0158 memory: 17087 grad_norm: 4.8680 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9511 loss: 1.9511 2022/08/03 14:35:12 - mmengine - INFO - Epoch(train) [24][1740/1879] lr: 1.0000e-02 eta: 2 days, 3:54:13 time: 0.4227 data_time: 0.0127 memory: 17087 grad_norm: 4.6994 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6865 loss: 1.6865 2022/08/03 14:35:21 - mmengine - INFO - Epoch(train) [24][1760/1879] lr: 1.0000e-02 eta: 2 days, 3:54:05 time: 0.4291 data_time: 0.0176 memory: 17087 grad_norm: 4.7880 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8662 loss: 1.8662 2022/08/03 14:35:29 - mmengine - INFO - Epoch(train) [24][1780/1879] lr: 1.0000e-02 eta: 2 days, 3:53:55 time: 0.4237 data_time: 0.0131 memory: 17087 grad_norm: 4.8100 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8365 loss: 1.8365 2022/08/03 14:35:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:35:38 - mmengine - INFO - Epoch(train) [24][1800/1879] lr: 1.0000e-02 eta: 2 days, 3:53:50 time: 0.4462 data_time: 0.0147 memory: 17087 grad_norm: 4.7073 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.7867 loss: 1.7867 2022/08/03 14:35:47 - mmengine - INFO - Epoch(train) [24][1820/1879] lr: 1.0000e-02 eta: 2 days, 3:53:42 time: 0.4317 data_time: 0.0206 memory: 17087 grad_norm: 4.7748 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9159 loss: 1.9159 2022/08/03 14:35:55 - mmengine - INFO - Epoch(train) [24][1840/1879] lr: 1.0000e-02 eta: 2 days, 3:53:33 time: 0.4229 data_time: 0.0145 memory: 17087 grad_norm: 4.7734 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8715 loss: 1.8715 2022/08/03 14:36:04 - mmengine - INFO - Epoch(train) [24][1860/1879] lr: 1.0000e-02 eta: 2 days, 3:53:23 time: 0.4238 data_time: 0.0130 memory: 17087 grad_norm: 4.8013 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9018 loss: 1.9018 2022/08/03 14:36:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:36:11 - mmengine - INFO - Epoch(train) [24][1879/1879] lr: 1.0000e-02 eta: 2 days, 3:53:23 time: 0.4063 data_time: 0.0160 memory: 17087 grad_norm: 4.8642 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.7219 loss: 1.7219 2022/08/03 14:36:11 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/08/03 14:36:25 - mmengine - INFO - Epoch(train) [25][20/1879] lr: 1.0000e-02 eta: 2 days, 3:52:09 time: 0.5405 data_time: 0.1107 memory: 17087 grad_norm: 4.6486 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7112 loss: 1.7112 2022/08/03 14:36:34 - mmengine - INFO - Epoch(train) [25][40/1879] lr: 1.0000e-02 eta: 2 days, 3:52:00 time: 0.4250 data_time: 0.0183 memory: 17087 grad_norm: 4.6585 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7514 loss: 1.7514 2022/08/03 14:36:42 - mmengine - INFO - Epoch(train) [25][60/1879] lr: 1.0000e-02 eta: 2 days, 3:51:50 time: 0.4221 data_time: 0.0129 memory: 17087 grad_norm: 4.7117 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8159 loss: 1.8159 2022/08/03 14:36:51 - mmengine - INFO - Epoch(train) [25][80/1879] lr: 1.0000e-02 eta: 2 days, 3:51:47 time: 0.4536 data_time: 0.0208 memory: 17087 grad_norm: 4.7745 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9748 loss: 1.9748 2022/08/03 14:37:00 - mmengine - INFO - Epoch(train) [25][100/1879] lr: 1.0000e-02 eta: 2 days, 3:51:38 time: 0.4278 data_time: 0.0183 memory: 17087 grad_norm: 4.7067 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6685 loss: 1.6685 2022/08/03 14:37:09 - mmengine - INFO - Epoch(train) [25][120/1879] lr: 1.0000e-02 eta: 2 days, 3:51:30 time: 0.4313 data_time: 0.0175 memory: 17087 grad_norm: 4.7214 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6848 loss: 1.6848 2022/08/03 14:37:17 - mmengine - INFO - Epoch(train) [25][140/1879] lr: 1.0000e-02 eta: 2 days, 3:51:20 time: 0.4225 data_time: 0.0151 memory: 17087 grad_norm: 4.8179 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7962 loss: 1.7962 2022/08/03 14:37:26 - mmengine - INFO - Epoch(train) [25][160/1879] lr: 1.0000e-02 eta: 2 days, 3:51:12 time: 0.4289 data_time: 0.0160 memory: 17087 grad_norm: 4.7480 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0008 loss: 2.0008 2022/08/03 14:37:34 - mmengine - INFO - Epoch(train) [25][180/1879] lr: 1.0000e-02 eta: 2 days, 3:51:03 time: 0.4247 data_time: 0.0136 memory: 17087 grad_norm: 4.7184 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6790 loss: 1.6790 2022/08/03 14:37:43 - mmengine - INFO - Epoch(train) [25][200/1879] lr: 1.0000e-02 eta: 2 days, 3:50:53 time: 0.4241 data_time: 0.0150 memory: 17087 grad_norm: 4.7620 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9278 loss: 1.9278 2022/08/03 14:37:52 - mmengine - INFO - Epoch(train) [25][220/1879] lr: 1.0000e-02 eta: 2 days, 3:50:49 time: 0.4490 data_time: 0.0145 memory: 17087 grad_norm: 4.7082 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7715 loss: 1.7715 2022/08/03 14:38:00 - mmengine - INFO - Epoch(train) [25][240/1879] lr: 1.0000e-02 eta: 2 days, 3:50:40 time: 0.4301 data_time: 0.0159 memory: 17087 grad_norm: 4.7530 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8132 loss: 1.8132 2022/08/03 14:38:09 - mmengine - INFO - Epoch(train) [25][260/1879] lr: 1.0000e-02 eta: 2 days, 3:50:35 time: 0.4431 data_time: 0.0155 memory: 17087 grad_norm: 4.7565 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9183 loss: 1.9183 2022/08/03 14:38:18 - mmengine - INFO - Epoch(train) [25][280/1879] lr: 1.0000e-02 eta: 2 days, 3:50:25 time: 0.4251 data_time: 0.0151 memory: 17087 grad_norm: 4.7699 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8657 loss: 1.8657 2022/08/03 14:38:26 - mmengine - INFO - Epoch(train) [25][300/1879] lr: 1.0000e-02 eta: 2 days, 3:50:18 time: 0.4345 data_time: 0.0146 memory: 17087 grad_norm: 4.7517 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7152 loss: 1.7152 2022/08/03 14:38:35 - mmengine - INFO - Epoch(train) [25][320/1879] lr: 1.0000e-02 eta: 2 days, 3:50:09 time: 0.4252 data_time: 0.0159 memory: 17087 grad_norm: 4.7618 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6794 loss: 1.6794 2022/08/03 14:38:45 - mmengine - INFO - Epoch(train) [25][340/1879] lr: 1.0000e-02 eta: 2 days, 3:50:19 time: 0.5233 data_time: 0.0178 memory: 17087 grad_norm: 4.7632 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8118 loss: 1.8118 2022/08/03 14:38:54 - mmengine - INFO - Epoch(train) [25][360/1879] lr: 1.0000e-02 eta: 2 days, 3:50:09 time: 0.4242 data_time: 0.0159 memory: 17087 grad_norm: 4.8061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7651 loss: 1.7651 2022/08/03 14:39:02 - mmengine - INFO - Epoch(train) [25][380/1879] lr: 1.0000e-02 eta: 2 days, 3:50:00 time: 0.4248 data_time: 0.0147 memory: 17087 grad_norm: 4.7662 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7196 loss: 1.7196 2022/08/03 14:39:11 - mmengine - INFO - Epoch(train) [25][400/1879] lr: 1.0000e-02 eta: 2 days, 3:49:54 time: 0.4435 data_time: 0.0160 memory: 17087 grad_norm: 4.7050 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6352 loss: 1.6352 2022/08/03 14:39:20 - mmengine - INFO - Epoch(train) [25][420/1879] lr: 1.0000e-02 eta: 2 days, 3:49:45 time: 0.4235 data_time: 0.0134 memory: 17087 grad_norm: 4.8360 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9447 loss: 1.9447 2022/08/03 14:39:28 - mmengine - INFO - Epoch(train) [25][440/1879] lr: 1.0000e-02 eta: 2 days, 3:49:36 time: 0.4268 data_time: 0.0166 memory: 17087 grad_norm: 4.8373 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7131 loss: 1.7131 2022/08/03 14:39:37 - mmengine - INFO - Epoch(train) [25][460/1879] lr: 1.0000e-02 eta: 2 days, 3:49:26 time: 0.4235 data_time: 0.0140 memory: 17087 grad_norm: 4.7376 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7861 loss: 1.7861 2022/08/03 14:39:46 - mmengine - INFO - Epoch(train) [25][480/1879] lr: 1.0000e-02 eta: 2 days, 3:49:21 time: 0.4476 data_time: 0.0172 memory: 17087 grad_norm: 4.6933 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9062 loss: 1.9062 2022/08/03 14:39:54 - mmengine - INFO - Epoch(train) [25][500/1879] lr: 1.0000e-02 eta: 2 days, 3:49:12 time: 0.4223 data_time: 0.0142 memory: 17087 grad_norm: 4.8950 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7650 loss: 1.7650 2022/08/03 14:40:03 - mmengine - INFO - Epoch(train) [25][520/1879] lr: 1.0000e-02 eta: 2 days, 3:49:03 time: 0.4256 data_time: 0.0146 memory: 17087 grad_norm: 4.8345 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0079 loss: 2.0079 2022/08/03 14:40:12 - mmengine - INFO - Epoch(train) [25][540/1879] lr: 1.0000e-02 eta: 2 days, 3:48:58 time: 0.4479 data_time: 0.0152 memory: 17087 grad_norm: 4.6123 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8235 loss: 1.8235 2022/08/03 14:40:20 - mmengine - INFO - Epoch(train) [25][560/1879] lr: 1.0000e-02 eta: 2 days, 3:48:49 time: 0.4264 data_time: 0.0163 memory: 17087 grad_norm: 4.7431 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7741 loss: 1.7741 2022/08/03 14:40:29 - mmengine - INFO - Epoch(train) [25][580/1879] lr: 1.0000e-02 eta: 2 days, 3:48:40 time: 0.4290 data_time: 0.0146 memory: 17087 grad_norm: 4.7760 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7708 loss: 1.7708 2022/08/03 14:40:37 - mmengine - INFO - Epoch(train) [25][600/1879] lr: 1.0000e-02 eta: 2 days, 3:48:31 time: 0.4238 data_time: 0.0154 memory: 17087 grad_norm: 4.6706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8324 loss: 1.8324 2022/08/03 14:40:46 - mmengine - INFO - Epoch(train) [25][620/1879] lr: 1.0000e-02 eta: 2 days, 3:48:26 time: 0.4488 data_time: 0.0145 memory: 17087 grad_norm: 4.9888 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7573 loss: 1.7573 2022/08/03 14:40:55 - mmengine - INFO - Epoch(train) [25][640/1879] lr: 1.0000e-02 eta: 2 days, 3:48:17 time: 0.4254 data_time: 0.0163 memory: 17087 grad_norm: 4.7412 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 1.7280 loss: 1.7280 2022/08/03 14:41:03 - mmengine - INFO - Epoch(train) [25][660/1879] lr: 1.0000e-02 eta: 2 days, 3:48:07 time: 0.4235 data_time: 0.0126 memory: 17087 grad_norm: 4.6867 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8916 loss: 1.8916 2022/08/03 14:41:12 - mmengine - INFO - Epoch(train) [25][680/1879] lr: 1.0000e-02 eta: 2 days, 3:47:59 time: 0.4314 data_time: 0.0151 memory: 17087 grad_norm: 4.7386 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6282 loss: 1.6282 2022/08/03 14:41:20 - mmengine - INFO - Epoch(train) [25][700/1879] lr: 1.0000e-02 eta: 2 days, 3:47:50 time: 0.4252 data_time: 0.0134 memory: 17087 grad_norm: 4.7889 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9424 loss: 1.9424 2022/08/03 14:41:29 - mmengine - INFO - Epoch(train) [25][720/1879] lr: 1.0000e-02 eta: 2 days, 3:47:41 time: 0.4264 data_time: 0.0151 memory: 17087 grad_norm: 4.7469 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6977 loss: 1.6977 2022/08/03 14:41:37 - mmengine - INFO - Epoch(train) [25][740/1879] lr: 1.0000e-02 eta: 2 days, 3:47:32 time: 0.4241 data_time: 0.0144 memory: 17087 grad_norm: 4.7029 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7834 loss: 1.7834 2022/08/03 14:41:46 - mmengine - INFO - Epoch(train) [25][760/1879] lr: 1.0000e-02 eta: 2 days, 3:47:27 time: 0.4485 data_time: 0.0153 memory: 17087 grad_norm: 4.7788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9794 loss: 1.9794 2022/08/03 14:41:55 - mmengine - INFO - Epoch(train) [25][780/1879] lr: 1.0000e-02 eta: 2 days, 3:47:18 time: 0.4229 data_time: 0.0130 memory: 17087 grad_norm: 4.6798 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8105 loss: 1.8105 2022/08/03 14:42:03 - mmengine - INFO - Epoch(train) [25][800/1879] lr: 1.0000e-02 eta: 2 days, 3:47:09 time: 0.4305 data_time: 0.0201 memory: 17087 grad_norm: 4.8832 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9335 loss: 1.9335 2022/08/03 14:42:12 - mmengine - INFO - Epoch(train) [25][820/1879] lr: 1.0000e-02 eta: 2 days, 3:47:01 time: 0.4314 data_time: 0.0148 memory: 17087 grad_norm: 4.6714 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8416 loss: 1.8416 2022/08/03 14:42:20 - mmengine - INFO - Epoch(train) [25][840/1879] lr: 1.0000e-02 eta: 2 days, 3:46:52 time: 0.4263 data_time: 0.0156 memory: 17087 grad_norm: 4.9073 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7373 loss: 1.7373 2022/08/03 14:42:29 - mmengine - INFO - Epoch(train) [25][860/1879] lr: 1.0000e-02 eta: 2 days, 3:46:44 time: 0.4302 data_time: 0.0146 memory: 17087 grad_norm: 4.7602 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7911 loss: 1.7911 2022/08/03 14:42:38 - mmengine - INFO - Epoch(train) [25][880/1879] lr: 1.0000e-02 eta: 2 days, 3:46:35 time: 0.4267 data_time: 0.0166 memory: 17087 grad_norm: 4.6360 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7930 loss: 1.7930 2022/08/03 14:42:46 - mmengine - INFO - Epoch(train) [25][900/1879] lr: 1.0000e-02 eta: 2 days, 3:46:30 time: 0.4463 data_time: 0.0145 memory: 17087 grad_norm: 4.7302 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8332 loss: 1.8332 2022/08/03 14:42:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:42:55 - mmengine - INFO - Epoch(train) [25][920/1879] lr: 1.0000e-02 eta: 2 days, 3:46:21 time: 0.4240 data_time: 0.0141 memory: 17087 grad_norm: 4.5637 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5710 loss: 1.5710 2022/08/03 14:43:04 - mmengine - INFO - Epoch(train) [25][940/1879] lr: 1.0000e-02 eta: 2 days, 3:46:12 time: 0.4285 data_time: 0.0169 memory: 17087 grad_norm: 4.7061 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9284 loss: 1.9284 2022/08/03 14:43:12 - mmengine - INFO - Epoch(train) [25][960/1879] lr: 1.0000e-02 eta: 2 days, 3:46:03 time: 0.4270 data_time: 0.0152 memory: 17087 grad_norm: 4.8200 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5553 loss: 1.5553 2022/08/03 14:43:21 - mmengine - INFO - Epoch(train) [25][980/1879] lr: 1.0000e-02 eta: 2 days, 3:45:54 time: 0.4241 data_time: 0.0134 memory: 17087 grad_norm: 4.7498 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8544 loss: 1.8544 2022/08/03 14:43:29 - mmengine - INFO - Epoch(train) [25][1000/1879] lr: 1.0000e-02 eta: 2 days, 3:45:48 time: 0.4449 data_time: 0.0143 memory: 17087 grad_norm: 4.7989 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6133 loss: 1.6133 2022/08/03 14:43:38 - mmengine - INFO - Epoch(train) [25][1020/1879] lr: 1.0000e-02 eta: 2 days, 3:45:39 time: 0.4243 data_time: 0.0147 memory: 17087 grad_norm: 4.7897 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8378 loss: 1.8378 2022/08/03 14:43:47 - mmengine - INFO - Epoch(train) [25][1040/1879] lr: 1.0000e-02 eta: 2 days, 3:45:35 time: 0.4518 data_time: 0.0212 memory: 17087 grad_norm: 4.6566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7295 loss: 1.7295 2022/08/03 14:43:56 - mmengine - INFO - Epoch(train) [25][1060/1879] lr: 1.0000e-02 eta: 2 days, 3:45:26 time: 0.4245 data_time: 0.0147 memory: 17087 grad_norm: 4.6914 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9629 loss: 1.9629 2022/08/03 14:44:04 - mmengine - INFO - Epoch(train) [25][1080/1879] lr: 1.0000e-02 eta: 2 days, 3:45:16 time: 0.4238 data_time: 0.0152 memory: 17087 grad_norm: 4.7725 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9455 loss: 1.9455 2022/08/03 14:44:13 - mmengine - INFO - Epoch(train) [25][1100/1879] lr: 1.0000e-02 eta: 2 days, 3:45:09 time: 0.4383 data_time: 0.0138 memory: 17087 grad_norm: 4.7957 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8330 loss: 1.8330 2022/08/03 14:44:21 - mmengine - INFO - Epoch(train) [25][1120/1879] lr: 1.0000e-02 eta: 2 days, 3:45:00 time: 0.4241 data_time: 0.0150 memory: 17087 grad_norm: 4.6718 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7178 loss: 1.7178 2022/08/03 14:44:30 - mmengine - INFO - Epoch(train) [25][1140/1879] lr: 1.0000e-02 eta: 2 days, 3:44:56 time: 0.4529 data_time: 0.0173 memory: 17087 grad_norm: 4.6978 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8879 loss: 1.8879 2022/08/03 14:44:39 - mmengine - INFO - Epoch(train) [25][1160/1879] lr: 1.0000e-02 eta: 2 days, 3:44:47 time: 0.4244 data_time: 0.0156 memory: 17087 grad_norm: 4.7321 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7528 loss: 1.7528 2022/08/03 14:44:48 - mmengine - INFO - Epoch(train) [25][1180/1879] lr: 1.0000e-02 eta: 2 days, 3:44:42 time: 0.4504 data_time: 0.0152 memory: 17087 grad_norm: 4.7316 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9586 loss: 1.9586 2022/08/03 14:44:56 - mmengine - INFO - Epoch(train) [25][1200/1879] lr: 1.0000e-02 eta: 2 days, 3:44:33 time: 0.4233 data_time: 0.0145 memory: 17087 grad_norm: 4.8595 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9302 loss: 1.9302 2022/08/03 14:45:05 - mmengine - INFO - Epoch(train) [25][1220/1879] lr: 1.0000e-02 eta: 2 days, 3:44:24 time: 0.4297 data_time: 0.0204 memory: 17087 grad_norm: 4.8300 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7880 loss: 1.7880 2022/08/03 14:45:13 - mmengine - INFO - Epoch(train) [25][1240/1879] lr: 1.0000e-02 eta: 2 days, 3:44:15 time: 0.4267 data_time: 0.0162 memory: 17087 grad_norm: 4.8951 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7032 loss: 1.7032 2022/08/03 14:45:22 - mmengine - INFO - Epoch(train) [25][1260/1879] lr: 1.0000e-02 eta: 2 days, 3:44:07 time: 0.4265 data_time: 0.0175 memory: 17087 grad_norm: 4.7100 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7803 loss: 1.7803 2022/08/03 14:45:31 - mmengine - INFO - Epoch(train) [25][1280/1879] lr: 1.0000e-02 eta: 2 days, 3:43:59 time: 0.4354 data_time: 0.0159 memory: 17087 grad_norm: 4.7525 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0244 loss: 2.0244 2022/08/03 14:45:39 - mmengine - INFO - Epoch(train) [25][1300/1879] lr: 1.0000e-02 eta: 2 days, 3:43:50 time: 0.4247 data_time: 0.0139 memory: 17087 grad_norm: 4.7239 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7921 loss: 1.7921 2022/08/03 14:45:48 - mmengine - INFO - Epoch(train) [25][1320/1879] lr: 1.0000e-02 eta: 2 days, 3:43:46 time: 0.4520 data_time: 0.0171 memory: 17087 grad_norm: 4.6576 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5554 loss: 1.5554 2022/08/03 14:45:57 - mmengine - INFO - Epoch(train) [25][1340/1879] lr: 1.0000e-02 eta: 2 days, 3:43:37 time: 0.4278 data_time: 0.0193 memory: 17087 grad_norm: 4.6072 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8424 loss: 1.8424 2022/08/03 14:46:05 - mmengine - INFO - Epoch(train) [25][1360/1879] lr: 1.0000e-02 eta: 2 days, 3:43:29 time: 0.4315 data_time: 0.0156 memory: 17087 grad_norm: 4.8079 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5972 loss: 1.5972 2022/08/03 14:46:14 - mmengine - INFO - Epoch(train) [25][1380/1879] lr: 1.0000e-02 eta: 2 days, 3:43:25 time: 0.4524 data_time: 0.0141 memory: 17087 grad_norm: 4.5687 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.6306 loss: 1.6306 2022/08/03 14:46:23 - mmengine - INFO - Epoch(train) [25][1400/1879] lr: 1.0000e-02 eta: 2 days, 3:43:16 time: 0.4240 data_time: 0.0137 memory: 17087 grad_norm: 4.6691 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8023 loss: 1.8023 2022/08/03 14:46:32 - mmengine - INFO - Epoch(train) [25][1420/1879] lr: 1.0000e-02 eta: 2 days, 3:43:08 time: 0.4330 data_time: 0.0172 memory: 17087 grad_norm: 4.6935 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7446 loss: 1.7446 2022/08/03 14:46:40 - mmengine - INFO - Epoch(train) [25][1440/1879] lr: 1.0000e-02 eta: 2 days, 3:42:59 time: 0.4262 data_time: 0.0158 memory: 17087 grad_norm: 4.7991 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7041 loss: 1.7041 2022/08/03 14:46:49 - mmengine - INFO - Epoch(train) [25][1460/1879] lr: 1.0000e-02 eta: 2 days, 3:42:50 time: 0.4278 data_time: 0.0147 memory: 17087 grad_norm: 4.8017 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0489 loss: 2.0489 2022/08/03 14:46:57 - mmengine - INFO - Epoch(train) [25][1480/1879] lr: 1.0000e-02 eta: 2 days, 3:42:41 time: 0.4243 data_time: 0.0155 memory: 17087 grad_norm: 4.7975 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6778 loss: 1.6778 2022/08/03 14:47:06 - mmengine - INFO - Epoch(train) [25][1500/1879] lr: 1.0000e-02 eta: 2 days, 3:42:32 time: 0.4267 data_time: 0.0158 memory: 17087 grad_norm: 4.8834 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7946 loss: 1.7946 2022/08/03 14:47:14 - mmengine - INFO - Epoch(train) [25][1520/1879] lr: 1.0000e-02 eta: 2 days, 3:42:23 time: 0.4265 data_time: 0.0155 memory: 17087 grad_norm: 4.8845 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.6790 loss: 1.6790 2022/08/03 14:47:23 - mmengine - INFO - Epoch(train) [25][1540/1879] lr: 1.0000e-02 eta: 2 days, 3:42:14 time: 0.4247 data_time: 0.0154 memory: 17087 grad_norm: 4.7517 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8575 loss: 1.8575 2022/08/03 14:47:32 - mmengine - INFO - Epoch(train) [25][1560/1879] lr: 1.0000e-02 eta: 2 days, 3:42:08 time: 0.4453 data_time: 0.0164 memory: 17087 grad_norm: 4.7443 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7491 loss: 1.7491 2022/08/03 14:47:40 - mmengine - INFO - Epoch(train) [25][1580/1879] lr: 1.0000e-02 eta: 2 days, 3:41:59 time: 0.4230 data_time: 0.0153 memory: 17087 grad_norm: 4.7209 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7054 loss: 1.7054 2022/08/03 14:47:49 - mmengine - INFO - Epoch(train) [25][1600/1879] lr: 1.0000e-02 eta: 2 days, 3:41:53 time: 0.4436 data_time: 0.0164 memory: 17087 grad_norm: 4.7998 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9117 loss: 1.9117 2022/08/03 14:47:57 - mmengine - INFO - Epoch(train) [25][1620/1879] lr: 1.0000e-02 eta: 2 days, 3:41:43 time: 0.4239 data_time: 0.0151 memory: 17087 grad_norm: 4.6866 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6738 loss: 1.6738 2022/08/03 14:48:06 - mmengine - INFO - Epoch(train) [25][1640/1879] lr: 1.0000e-02 eta: 2 days, 3:41:38 time: 0.4435 data_time: 0.0178 memory: 17087 grad_norm: 4.9119 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6979 loss: 1.6979 2022/08/03 14:48:15 - mmengine - INFO - Epoch(train) [25][1660/1879] lr: 1.0000e-02 eta: 2 days, 3:41:28 time: 0.4238 data_time: 0.0138 memory: 17087 grad_norm: 4.8483 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7474 loss: 1.7474 2022/08/03 14:48:23 - mmengine - INFO - Epoch(train) [25][1680/1879] lr: 1.0000e-02 eta: 2 days, 3:41:19 time: 0.4248 data_time: 0.0147 memory: 17087 grad_norm: 4.7058 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8259 loss: 1.8259 2022/08/03 14:48:32 - mmengine - INFO - Epoch(train) [25][1700/1879] lr: 1.0000e-02 eta: 2 days, 3:41:15 time: 0.4515 data_time: 0.0159 memory: 17087 grad_norm: 4.7642 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8123 loss: 1.8123 2022/08/03 14:48:41 - mmengine - INFO - Epoch(train) [25][1720/1879] lr: 1.0000e-02 eta: 2 days, 3:41:05 time: 0.4253 data_time: 0.0154 memory: 17087 grad_norm: 4.7276 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7332 loss: 1.7332 2022/08/03 14:48:50 - mmengine - INFO - Epoch(train) [25][1740/1879] lr: 1.0000e-02 eta: 2 days, 3:40:59 time: 0.4425 data_time: 0.0158 memory: 17087 grad_norm: 4.7030 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7053 loss: 1.7053 2022/08/03 14:48:58 - mmengine - INFO - Epoch(train) [25][1760/1879] lr: 1.0000e-02 eta: 2 days, 3:40:50 time: 0.4243 data_time: 0.0154 memory: 17087 grad_norm: 4.7033 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7574 loss: 1.7574 2022/08/03 14:49:07 - mmengine - INFO - Epoch(train) [25][1780/1879] lr: 1.0000e-02 eta: 2 days, 3:40:42 time: 0.4296 data_time: 0.0157 memory: 17087 grad_norm: 4.8016 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8277 loss: 1.8277 2022/08/03 14:49:15 - mmengine - INFO - Epoch(train) [25][1800/1879] lr: 1.0000e-02 eta: 2 days, 3:40:32 time: 0.4233 data_time: 0.0160 memory: 17087 grad_norm: 4.8178 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9425 loss: 1.9425 2022/08/03 14:49:24 - mmengine - INFO - Epoch(train) [25][1820/1879] lr: 1.0000e-02 eta: 2 days, 3:40:23 time: 0.4244 data_time: 0.0161 memory: 17087 grad_norm: 4.7541 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7741 loss: 1.7741 2022/08/03 14:49:32 - mmengine - INFO - Epoch(train) [25][1840/1879] lr: 1.0000e-02 eta: 2 days, 3:40:16 time: 0.4357 data_time: 0.0183 memory: 17087 grad_norm: 4.7353 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5615 loss: 1.5615 2022/08/03 14:49:41 - mmengine - INFO - Epoch(train) [25][1860/1879] lr: 1.0000e-02 eta: 2 days, 3:40:06 time: 0.4236 data_time: 0.0137 memory: 17087 grad_norm: 4.8019 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7586 loss: 1.7586 2022/08/03 14:49:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:49:49 - mmengine - INFO - Epoch(train) [25][1879/1879] lr: 1.0000e-02 eta: 2 days, 3:40:06 time: 0.4195 data_time: 0.0156 memory: 17087 grad_norm: 4.9057 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.0106 loss: 2.0106 2022/08/03 14:49:57 - mmengine - INFO - Epoch(val) [25][20/155] eta: 0:00:52 time: 0.3855 data_time: 0.2174 memory: 2821 2022/08/03 14:50:02 - mmengine - INFO - Epoch(val) [25][40/155] eta: 0:00:27 time: 0.2414 data_time: 0.0752 memory: 2821 2022/08/03 14:50:08 - mmengine - INFO - Epoch(val) [25][60/155] eta: 0:00:30 time: 0.3213 data_time: 0.1486 memory: 2821 2022/08/03 14:50:13 - mmengine - INFO - Epoch(val) [25][80/155] eta: 0:00:20 time: 0.2695 data_time: 0.1013 memory: 2821 2022/08/03 14:50:20 - mmengine - INFO - Epoch(val) [25][100/155] eta: 0:00:17 time: 0.3127 data_time: 0.1472 memory: 2821 2022/08/03 14:50:25 - mmengine - INFO - Epoch(val) [25][120/155] eta: 0:00:10 time: 0.2903 data_time: 0.1216 memory: 2821 2022/08/03 14:50:32 - mmengine - INFO - Epoch(val) [25][140/155] eta: 0:00:04 time: 0.3264 data_time: 0.1568 memory: 2821 2022/08/03 14:50:37 - mmengine - INFO - Epoch(val) [25][155/155] acc/top1: 0.6291 acc/top5: 0.8484 acc/mean1: 0.6291 2022/08/03 14:50:37 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/best_acc/top1_epoch_21.pth is removed 2022/08/03 14:50:39 - mmengine - INFO - The best checkpoint with 0.6291 acc/top1 at 26 epoch is saved to best_acc/top1_epoch_26.pth. 2022/08/03 14:50:50 - mmengine - INFO - Epoch(train) [26][20/1879] lr: 1.0000e-02 eta: 2 days, 3:38:49 time: 0.5080 data_time: 0.0982 memory: 17087 grad_norm: 4.6705 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6196 loss: 1.6196 2022/08/03 14:50:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:50:59 - mmengine - INFO - Epoch(train) [26][40/1879] lr: 1.0000e-02 eta: 2 days, 3:38:46 time: 0.4615 data_time: 0.0152 memory: 17087 grad_norm: 4.6534 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6762 loss: 1.6762 2022/08/03 14:51:07 - mmengine - INFO - Epoch(train) [26][60/1879] lr: 1.0000e-02 eta: 2 days, 3:38:37 time: 0.4225 data_time: 0.0128 memory: 17087 grad_norm: 4.6840 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8975 loss: 1.8975 2022/08/03 14:51:16 - mmengine - INFO - Epoch(train) [26][80/1879] lr: 1.0000e-02 eta: 2 days, 3:38:28 time: 0.4286 data_time: 0.0187 memory: 17087 grad_norm: 4.6772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7815 loss: 1.7815 2022/08/03 14:51:24 - mmengine - INFO - Epoch(train) [26][100/1879] lr: 1.0000e-02 eta: 2 days, 3:38:19 time: 0.4245 data_time: 0.0142 memory: 17087 grad_norm: 4.6484 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8230 loss: 1.8230 2022/08/03 14:51:33 - mmengine - INFO - Epoch(train) [26][120/1879] lr: 1.0000e-02 eta: 2 days, 3:38:10 time: 0.4257 data_time: 0.0161 memory: 17087 grad_norm: 4.6959 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6458 loss: 1.6458 2022/08/03 14:51:41 - mmengine - INFO - Epoch(train) [26][140/1879] lr: 1.0000e-02 eta: 2 days, 3:38:01 time: 0.4265 data_time: 0.0157 memory: 17087 grad_norm: 4.8588 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7965 loss: 1.7965 2022/08/03 14:51:50 - mmengine - INFO - Epoch(train) [26][160/1879] lr: 1.0000e-02 eta: 2 days, 3:37:52 time: 0.4249 data_time: 0.0150 memory: 17087 grad_norm: 4.8338 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7560 loss: 1.7560 2022/08/03 14:51:58 - mmengine - INFO - Epoch(train) [26][180/1879] lr: 1.0000e-02 eta: 2 days, 3:37:43 time: 0.4259 data_time: 0.0158 memory: 17087 grad_norm: 4.6790 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6792 loss: 1.6792 2022/08/03 14:52:07 - mmengine - INFO - Epoch(train) [26][200/1879] lr: 1.0000e-02 eta: 2 days, 3:37:34 time: 0.4249 data_time: 0.0192 memory: 17087 grad_norm: 4.7475 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7043 loss: 1.7043 2022/08/03 14:52:15 - mmengine - INFO - Epoch(train) [26][220/1879] lr: 1.0000e-02 eta: 2 days, 3:37:24 time: 0.4233 data_time: 0.0141 memory: 17087 grad_norm: 4.7676 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5367 loss: 1.5367 2022/08/03 14:52:24 - mmengine - INFO - Epoch(train) [26][240/1879] lr: 1.0000e-02 eta: 2 days, 3:37:19 time: 0.4480 data_time: 0.0154 memory: 17087 grad_norm: 4.7092 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8802 loss: 1.8802 2022/08/03 14:52:33 - mmengine - INFO - Epoch(train) [26][260/1879] lr: 1.0000e-02 eta: 2 days, 3:37:09 time: 0.4205 data_time: 0.0136 memory: 17087 grad_norm: 4.8644 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.8322 loss: 1.8322 2022/08/03 14:52:41 - mmengine - INFO - Epoch(train) [26][280/1879] lr: 1.0000e-02 eta: 2 days, 3:37:00 time: 0.4274 data_time: 0.0166 memory: 17087 grad_norm: 4.6720 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7294 loss: 1.7294 2022/08/03 14:52:50 - mmengine - INFO - Epoch(train) [26][300/1879] lr: 1.0000e-02 eta: 2 days, 3:36:51 time: 0.4238 data_time: 0.0151 memory: 17087 grad_norm: 4.6777 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7596 loss: 1.7596 2022/08/03 14:52:59 - mmengine - INFO - Epoch(train) [26][320/1879] lr: 1.0000e-02 eta: 2 days, 3:36:45 time: 0.4415 data_time: 0.0163 memory: 17087 grad_norm: 4.6388 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7126 loss: 1.7126 2022/08/03 14:53:07 - mmengine - INFO - Epoch(train) [26][340/1879] lr: 1.0000e-02 eta: 2 days, 3:36:36 time: 0.4250 data_time: 0.0146 memory: 17087 grad_norm: 4.7911 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9444 loss: 1.9444 2022/08/03 14:53:16 - mmengine - INFO - Epoch(train) [26][360/1879] lr: 1.0000e-02 eta: 2 days, 3:36:26 time: 0.4249 data_time: 0.0154 memory: 17087 grad_norm: 4.6775 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7554 loss: 1.7554 2022/08/03 14:53:24 - mmengine - INFO - Epoch(train) [26][380/1879] lr: 1.0000e-02 eta: 2 days, 3:36:17 time: 0.4254 data_time: 0.0150 memory: 17087 grad_norm: 4.7122 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6546 loss: 1.6546 2022/08/03 14:53:33 - mmengine - INFO - Epoch(train) [26][400/1879] lr: 1.0000e-02 eta: 2 days, 3:36:14 time: 0.4557 data_time: 0.0164 memory: 17087 grad_norm: 4.7969 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7676 loss: 1.7676 2022/08/03 14:53:42 - mmengine - INFO - Epoch(train) [26][420/1879] lr: 1.0000e-02 eta: 2 days, 3:36:04 time: 0.4233 data_time: 0.0137 memory: 17087 grad_norm: 4.8386 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8733 loss: 1.8733 2022/08/03 14:53:51 - mmengine - INFO - Epoch(train) [26][440/1879] lr: 1.0000e-02 eta: 2 days, 3:35:58 time: 0.4409 data_time: 0.0164 memory: 17087 grad_norm: 4.9923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9271 loss: 1.9271 2022/08/03 14:53:59 - mmengine - INFO - Epoch(train) [26][460/1879] lr: 1.0000e-02 eta: 2 days, 3:35:49 time: 0.4240 data_time: 0.0135 memory: 17087 grad_norm: 4.7815 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8605 loss: 1.8605 2022/08/03 14:54:08 - mmengine - INFO - Epoch(train) [26][480/1879] lr: 1.0000e-02 eta: 2 days, 3:35:43 time: 0.4450 data_time: 0.0157 memory: 17087 grad_norm: 4.9346 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0423 loss: 2.0423 2022/08/03 14:54:17 - mmengine - INFO - Epoch(train) [26][500/1879] lr: 1.0000e-02 eta: 2 days, 3:35:39 time: 0.4513 data_time: 0.0166 memory: 17087 grad_norm: 4.7392 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5911 loss: 1.5911 2022/08/03 14:54:25 - mmengine - INFO - Epoch(train) [26][520/1879] lr: 1.0000e-02 eta: 2 days, 3:35:29 time: 0.4232 data_time: 0.0154 memory: 17087 grad_norm: 4.8848 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8639 loss: 1.8639 2022/08/03 14:54:34 - mmengine - INFO - Epoch(train) [26][540/1879] lr: 1.0000e-02 eta: 2 days, 3:35:20 time: 0.4241 data_time: 0.0152 memory: 17087 grad_norm: 4.8545 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7473 loss: 1.7473 2022/08/03 14:54:43 - mmengine - INFO - Epoch(train) [26][560/1879] lr: 1.0000e-02 eta: 2 days, 3:35:11 time: 0.4301 data_time: 0.0163 memory: 17087 grad_norm: 4.6380 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5424 loss: 1.5424 2022/08/03 14:54:51 - mmengine - INFO - Epoch(train) [26][580/1879] lr: 1.0000e-02 eta: 2 days, 3:35:02 time: 0.4258 data_time: 0.0162 memory: 17087 grad_norm: 4.8128 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5595 loss: 1.5595 2022/08/03 14:55:00 - mmengine - INFO - Epoch(train) [26][600/1879] lr: 1.0000e-02 eta: 2 days, 3:34:53 time: 0.4260 data_time: 0.0172 memory: 17087 grad_norm: 4.7195 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7367 loss: 1.7367 2022/08/03 14:55:08 - mmengine - INFO - Epoch(train) [26][620/1879] lr: 1.0000e-02 eta: 2 days, 3:34:47 time: 0.4382 data_time: 0.0158 memory: 17087 grad_norm: 4.6827 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8729 loss: 1.8729 2022/08/03 14:55:17 - mmengine - INFO - Epoch(train) [26][640/1879] lr: 1.0000e-02 eta: 2 days, 3:34:39 time: 0.4317 data_time: 0.0165 memory: 17087 grad_norm: 4.8390 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9388 loss: 1.9388 2022/08/03 14:55:26 - mmengine - INFO - Epoch(train) [26][660/1879] lr: 1.0000e-02 eta: 2 days, 3:34:29 time: 0.4249 data_time: 0.0152 memory: 17087 grad_norm: 4.8192 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7989 loss: 1.7989 2022/08/03 14:55:34 - mmengine - INFO - Epoch(train) [26][680/1879] lr: 1.0000e-02 eta: 2 days, 3:34:20 time: 0.4242 data_time: 0.0153 memory: 17087 grad_norm: 4.7965 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8182 loss: 1.8182 2022/08/03 14:55:43 - mmengine - INFO - Epoch(train) [26][700/1879] lr: 1.0000e-02 eta: 2 days, 3:34:13 time: 0.4358 data_time: 0.0153 memory: 17087 grad_norm: 4.8207 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8111 loss: 1.8111 2022/08/03 14:55:51 - mmengine - INFO - Epoch(train) [26][720/1879] lr: 1.0000e-02 eta: 2 days, 3:34:05 time: 0.4300 data_time: 0.0195 memory: 17087 grad_norm: 4.7388 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6659 loss: 1.6659 2022/08/03 14:56:00 - mmengine - INFO - Epoch(train) [26][740/1879] lr: 1.0000e-02 eta: 2 days, 3:33:59 time: 0.4443 data_time: 0.0149 memory: 17087 grad_norm: 4.8314 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8876 loss: 1.8876 2022/08/03 14:56:09 - mmengine - INFO - Epoch(train) [26][760/1879] lr: 1.0000e-02 eta: 2 days, 3:33:50 time: 0.4272 data_time: 0.0175 memory: 17087 grad_norm: 4.7350 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.9136 loss: 1.9136 2022/08/03 14:56:17 - mmengine - INFO - Epoch(train) [26][780/1879] lr: 1.0000e-02 eta: 2 days, 3:33:41 time: 0.4234 data_time: 0.0148 memory: 17087 grad_norm: 4.8721 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8004 loss: 1.8004 2022/08/03 14:56:26 - mmengine - INFO - Epoch(train) [26][800/1879] lr: 1.0000e-02 eta: 2 days, 3:33:31 time: 0.4241 data_time: 0.0147 memory: 17087 grad_norm: 4.7494 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8056 loss: 1.8056 2022/08/03 14:56:35 - mmengine - INFO - Epoch(train) [26][820/1879] lr: 1.0000e-02 eta: 2 days, 3:33:25 time: 0.4393 data_time: 0.0158 memory: 17087 grad_norm: 4.7518 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7070 loss: 1.7070 2022/08/03 14:56:43 - mmengine - INFO - Epoch(train) [26][840/1879] lr: 1.0000e-02 eta: 2 days, 3:33:17 time: 0.4344 data_time: 0.0140 memory: 17087 grad_norm: 4.7254 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5640 loss: 1.5640 2022/08/03 14:56:52 - mmengine - INFO - Epoch(train) [26][860/1879] lr: 1.0000e-02 eta: 2 days, 3:33:09 time: 0.4314 data_time: 0.0171 memory: 17087 grad_norm: 4.6914 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7820 loss: 1.7820 2022/08/03 14:57:00 - mmengine - INFO - Epoch(train) [26][880/1879] lr: 1.0000e-02 eta: 2 days, 3:33:00 time: 0.4252 data_time: 0.0150 memory: 17087 grad_norm: 4.8227 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8858 loss: 1.8858 2022/08/03 14:57:09 - mmengine - INFO - Epoch(train) [26][900/1879] lr: 1.0000e-02 eta: 2 days, 3:32:54 time: 0.4444 data_time: 0.0134 memory: 17087 grad_norm: 4.8246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7268 loss: 1.7268 2022/08/03 14:57:18 - mmengine - INFO - Epoch(train) [26][920/1879] lr: 1.0000e-02 eta: 2 days, 3:32:45 time: 0.4253 data_time: 0.0148 memory: 17087 grad_norm: 4.7670 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8254 loss: 1.8254 2022/08/03 14:57:26 - mmengine - INFO - Epoch(train) [26][940/1879] lr: 1.0000e-02 eta: 2 days, 3:32:36 time: 0.4239 data_time: 0.0139 memory: 17087 grad_norm: 4.7664 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0194 loss: 2.0194 2022/08/03 14:57:35 - mmengine - INFO - Epoch(train) [26][960/1879] lr: 1.0000e-02 eta: 2 days, 3:32:28 time: 0.4298 data_time: 0.0193 memory: 17087 grad_norm: 4.8674 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8973 loss: 1.8973 2022/08/03 14:57:43 - mmengine - INFO - Epoch(train) [26][980/1879] lr: 1.0000e-02 eta: 2 days, 3:32:18 time: 0.4253 data_time: 0.0177 memory: 17087 grad_norm: 4.7807 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8306 loss: 1.8306 2022/08/03 14:57:53 - mmengine - INFO - Epoch(train) [26][1000/1879] lr: 1.0000e-02 eta: 2 days, 3:32:16 time: 0.4652 data_time: 0.0189 memory: 17087 grad_norm: 4.7783 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8048 loss: 1.8048 2022/08/03 14:58:01 - mmengine - INFO - Epoch(train) [26][1020/1879] lr: 1.0000e-02 eta: 2 days, 3:32:07 time: 0.4251 data_time: 0.0153 memory: 17087 grad_norm: 4.7400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7764 loss: 1.7764 2022/08/03 14:58:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:58:10 - mmengine - INFO - Epoch(train) [26][1040/1879] lr: 1.0000e-02 eta: 2 days, 3:32:00 time: 0.4349 data_time: 0.0156 memory: 17087 grad_norm: 4.7021 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7109 loss: 1.7109 2022/08/03 14:58:18 - mmengine - INFO - Epoch(train) [26][1060/1879] lr: 1.0000e-02 eta: 2 days, 3:31:50 time: 0.4235 data_time: 0.0159 memory: 17087 grad_norm: 4.7463 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7640 loss: 1.7640 2022/08/03 14:58:27 - mmengine - INFO - Epoch(train) [26][1080/1879] lr: 1.0000e-02 eta: 2 days, 3:31:47 time: 0.4557 data_time: 0.0171 memory: 17087 grad_norm: 4.8462 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7453 loss: 1.7453 2022/08/03 14:58:36 - mmengine - INFO - Epoch(train) [26][1100/1879] lr: 1.0000e-02 eta: 2 days, 3:31:37 time: 0.4226 data_time: 0.0142 memory: 17087 grad_norm: 4.8120 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6810 loss: 1.6810 2022/08/03 14:58:44 - mmengine - INFO - Epoch(train) [26][1120/1879] lr: 1.0000e-02 eta: 2 days, 3:31:28 time: 0.4266 data_time: 0.0158 memory: 17087 grad_norm: 4.6754 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9609 loss: 1.9609 2022/08/03 14:58:53 - mmengine - INFO - Epoch(train) [26][1140/1879] lr: 1.0000e-02 eta: 2 days, 3:31:20 time: 0.4277 data_time: 0.0148 memory: 17087 grad_norm: 4.7150 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5982 loss: 1.5982 2022/08/03 14:59:02 - mmengine - INFO - Epoch(train) [26][1160/1879] lr: 1.0000e-02 eta: 2 days, 3:31:10 time: 0.4257 data_time: 0.0162 memory: 17087 grad_norm: 4.8567 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6830 loss: 1.6830 2022/08/03 14:59:10 - mmengine - INFO - Epoch(train) [26][1180/1879] lr: 1.0000e-02 eta: 2 days, 3:31:01 time: 0.4252 data_time: 0.0170 memory: 17087 grad_norm: 4.8168 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7652 loss: 1.7652 2022/08/03 14:59:19 - mmengine - INFO - Epoch(train) [26][1200/1879] lr: 1.0000e-02 eta: 2 days, 3:30:52 time: 0.4262 data_time: 0.0169 memory: 17087 grad_norm: 4.6878 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5771 loss: 1.5771 2022/08/03 14:59:27 - mmengine - INFO - Epoch(train) [26][1220/1879] lr: 1.0000e-02 eta: 2 days, 3:30:47 time: 0.4467 data_time: 0.0160 memory: 17087 grad_norm: 4.6932 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0031 loss: 2.0031 2022/08/03 14:59:36 - mmengine - INFO - Epoch(train) [26][1240/1879] lr: 1.0000e-02 eta: 2 days, 3:30:38 time: 0.4235 data_time: 0.0151 memory: 17087 grad_norm: 4.7347 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6910 loss: 1.6910 2022/08/03 14:59:44 - mmengine - INFO - Epoch(train) [26][1260/1879] lr: 1.0000e-02 eta: 2 days, 3:30:28 time: 0.4238 data_time: 0.0144 memory: 17087 grad_norm: 4.8500 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6904 loss: 1.6904 2022/08/03 14:59:53 - mmengine - INFO - Epoch(train) [26][1280/1879] lr: 1.0000e-02 eta: 2 days, 3:30:24 time: 0.4501 data_time: 0.0157 memory: 17087 grad_norm: 4.8475 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9197 loss: 1.9197 2022/08/03 15:00:02 - mmengine - INFO - Epoch(train) [26][1300/1879] lr: 1.0000e-02 eta: 2 days, 3:30:14 time: 0.4245 data_time: 0.0142 memory: 17087 grad_norm: 4.6950 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8784 loss: 1.8784 2022/08/03 15:00:11 - mmengine - INFO - Epoch(train) [26][1320/1879] lr: 1.0000e-02 eta: 2 days, 3:30:09 time: 0.4459 data_time: 0.0185 memory: 17087 grad_norm: 4.9621 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0075 loss: 2.0075 2022/08/03 15:00:19 - mmengine - INFO - Epoch(train) [26][1340/1879] lr: 1.0000e-02 eta: 2 days, 3:30:00 time: 0.4286 data_time: 0.0203 memory: 17087 grad_norm: 4.9153 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7824 loss: 1.7824 2022/08/03 15:00:29 - mmengine - INFO - Epoch(train) [26][1360/1879] lr: 1.0000e-02 eta: 2 days, 3:29:56 time: 0.4546 data_time: 0.0157 memory: 17087 grad_norm: 4.8430 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7780 loss: 1.7780 2022/08/03 15:00:37 - mmengine - INFO - Epoch(train) [26][1380/1879] lr: 1.0000e-02 eta: 2 days, 3:29:47 time: 0.4237 data_time: 0.0151 memory: 17087 grad_norm: 4.7204 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7604 loss: 1.7604 2022/08/03 15:00:46 - mmengine - INFO - Epoch(train) [26][1400/1879] lr: 1.0000e-02 eta: 2 days, 3:29:38 time: 0.4280 data_time: 0.0211 memory: 17087 grad_norm: 4.7143 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7588 loss: 1.7588 2022/08/03 15:00:54 - mmengine - INFO - Epoch(train) [26][1420/1879] lr: 1.0000e-02 eta: 2 days, 3:29:29 time: 0.4253 data_time: 0.0154 memory: 17087 grad_norm: 4.7688 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7679 loss: 1.7679 2022/08/03 15:01:03 - mmengine - INFO - Epoch(train) [26][1440/1879] lr: 1.0000e-02 eta: 2 days, 3:29:20 time: 0.4249 data_time: 0.0168 memory: 17087 grad_norm: 4.8642 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9188 loss: 1.9188 2022/08/03 15:01:11 - mmengine - INFO - Epoch(train) [26][1460/1879] lr: 1.0000e-02 eta: 2 days, 3:29:11 time: 0.4287 data_time: 0.0151 memory: 17087 grad_norm: 4.6988 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5750 loss: 1.5750 2022/08/03 15:01:20 - mmengine - INFO - Epoch(train) [26][1480/1879] lr: 1.0000e-02 eta: 2 days, 3:29:02 time: 0.4262 data_time: 0.0153 memory: 17087 grad_norm: 4.8556 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8379 loss: 1.8379 2022/08/03 15:01:28 - mmengine - INFO - Epoch(train) [26][1500/1879] lr: 1.0000e-02 eta: 2 days, 3:28:54 time: 0.4294 data_time: 0.0156 memory: 17087 grad_norm: 4.8923 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8427 loss: 1.8427 2022/08/03 15:01:37 - mmengine - INFO - Epoch(train) [26][1520/1879] lr: 1.0000e-02 eta: 2 days, 3:28:45 time: 0.4262 data_time: 0.0154 memory: 17087 grad_norm: 4.9638 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7452 loss: 1.7452 2022/08/03 15:01:45 - mmengine - INFO - Epoch(train) [26][1540/1879] lr: 1.0000e-02 eta: 2 days, 3:28:36 time: 0.4246 data_time: 0.0150 memory: 17087 grad_norm: 4.8629 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8633 loss: 1.8633 2022/08/03 15:01:54 - mmengine - INFO - Epoch(train) [26][1560/1879] lr: 1.0000e-02 eta: 2 days, 3:28:30 time: 0.4460 data_time: 0.0157 memory: 17087 grad_norm: 4.7974 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8912 loss: 1.8912 2022/08/03 15:02:03 - mmengine - INFO - Epoch(train) [26][1580/1879] lr: 1.0000e-02 eta: 2 days, 3:28:21 time: 0.4250 data_time: 0.0163 memory: 17087 grad_norm: 4.8077 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9065 loss: 1.9065 2022/08/03 15:02:12 - mmengine - INFO - Epoch(train) [26][1600/1879] lr: 1.0000e-02 eta: 2 days, 3:28:17 time: 0.4535 data_time: 0.0171 memory: 17087 grad_norm: 4.7721 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8039 loss: 1.8039 2022/08/03 15:02:20 - mmengine - INFO - Epoch(train) [26][1620/1879] lr: 1.0000e-02 eta: 2 days, 3:28:08 time: 0.4257 data_time: 0.0138 memory: 17087 grad_norm: 4.7959 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6685 loss: 1.6685 2022/08/03 15:02:29 - mmengine - INFO - Epoch(train) [26][1640/1879] lr: 1.0000e-02 eta: 2 days, 3:28:04 time: 0.4567 data_time: 0.0169 memory: 17087 grad_norm: 4.7490 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8933 loss: 1.8933 2022/08/03 15:02:38 - mmengine - INFO - Epoch(train) [26][1660/1879] lr: 1.0000e-02 eta: 2 days, 3:27:56 time: 0.4282 data_time: 0.0146 memory: 17087 grad_norm: 4.7035 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8253 loss: 1.8253 2022/08/03 15:02:47 - mmengine - INFO - Epoch(train) [26][1680/1879] lr: 1.0000e-02 eta: 2 days, 3:27:47 time: 0.4259 data_time: 0.0186 memory: 17087 grad_norm: 4.7633 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6053 loss: 1.6053 2022/08/03 15:02:55 - mmengine - INFO - Epoch(train) [26][1700/1879] lr: 1.0000e-02 eta: 2 days, 3:27:38 time: 0.4257 data_time: 0.0147 memory: 17087 grad_norm: 4.6478 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6756 loss: 1.6756 2022/08/03 15:03:04 - mmengine - INFO - Epoch(train) [26][1720/1879] lr: 1.0000e-02 eta: 2 days, 3:27:29 time: 0.4250 data_time: 0.0167 memory: 17087 grad_norm: 4.7355 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7419 loss: 1.7419 2022/08/03 15:03:13 - mmengine - INFO - Epoch(train) [26][1740/1879] lr: 1.0000e-02 eta: 2 days, 3:27:24 time: 0.4495 data_time: 0.0155 memory: 17087 grad_norm: 4.7757 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6673 loss: 1.6673 2022/08/03 15:03:21 - mmengine - INFO - Epoch(train) [26][1760/1879] lr: 1.0000e-02 eta: 2 days, 3:27:15 time: 0.4295 data_time: 0.0208 memory: 17087 grad_norm: 4.7038 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7065 loss: 1.7065 2022/08/03 15:03:30 - mmengine - INFO - Epoch(train) [26][1780/1879] lr: 1.0000e-02 eta: 2 days, 3:27:06 time: 0.4260 data_time: 0.0134 memory: 17087 grad_norm: 4.7994 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7687 loss: 1.7687 2022/08/03 15:03:41 - mmengine - INFO - Epoch(train) [26][1800/1879] lr: 1.0000e-02 eta: 2 days, 3:27:22 time: 0.5636 data_time: 0.1507 memory: 17087 grad_norm: 4.7219 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7750 loss: 1.7750 2022/08/03 15:03:49 - mmengine - INFO - Epoch(train) [26][1820/1879] lr: 1.0000e-02 eta: 2 days, 3:27:12 time: 0.4249 data_time: 0.0176 memory: 17087 grad_norm: 4.7880 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6469 loss: 1.6469 2022/08/03 15:03:58 - mmengine - INFO - Epoch(train) [26][1840/1879] lr: 1.0000e-02 eta: 2 days, 3:27:04 time: 0.4297 data_time: 0.0168 memory: 17087 grad_norm: 4.8511 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8888 loss: 1.8888 2022/08/03 15:04:07 - mmengine - INFO - Epoch(train) [26][1860/1879] lr: 1.0000e-02 eta: 2 days, 3:26:55 time: 0.4261 data_time: 0.0164 memory: 17087 grad_norm: 4.8083 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7535 loss: 1.7535 2022/08/03 15:04:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:04:14 - mmengine - INFO - Epoch(train) [26][1879/1879] lr: 1.0000e-02 eta: 2 days, 3:26:55 time: 0.4071 data_time: 0.0136 memory: 17087 grad_norm: 4.8677 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.4843 loss: 1.4843 2022/08/03 15:04:26 - mmengine - INFO - Epoch(train) [27][20/1879] lr: 1.0000e-02 eta: 2 days, 3:25:50 time: 0.5627 data_time: 0.1037 memory: 17087 grad_norm: 4.5987 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5749 loss: 1.5749 2022/08/03 15:04:34 - mmengine - INFO - Epoch(train) [27][40/1879] lr: 1.0000e-02 eta: 2 days, 3:25:43 time: 0.4364 data_time: 0.0146 memory: 17087 grad_norm: 4.7639 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8325 loss: 1.8325 2022/08/03 15:04:43 - mmengine - INFO - Epoch(train) [27][60/1879] lr: 1.0000e-02 eta: 2 days, 3:25:35 time: 0.4293 data_time: 0.0160 memory: 17087 grad_norm: 4.6984 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9419 loss: 1.9419 2022/08/03 15:04:51 - mmengine - INFO - Epoch(train) [27][80/1879] lr: 1.0000e-02 eta: 2 days, 3:25:25 time: 0.4237 data_time: 0.0147 memory: 17087 grad_norm: 4.7045 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6897 loss: 1.6897 2022/08/03 15:05:00 - mmengine - INFO - Epoch(train) [27][100/1879] lr: 1.0000e-02 eta: 2 days, 3:25:17 time: 0.4297 data_time: 0.0158 memory: 17087 grad_norm: 4.7350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6420 loss: 1.6420 2022/08/03 15:05:09 - mmengine - INFO - Epoch(train) [27][120/1879] lr: 1.0000e-02 eta: 2 days, 3:25:08 time: 0.4253 data_time: 0.0160 memory: 17087 grad_norm: 4.6950 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8000 loss: 1.8000 2022/08/03 15:05:17 - mmengine - INFO - Epoch(train) [27][140/1879] lr: 1.0000e-02 eta: 2 days, 3:24:59 time: 0.4272 data_time: 0.0150 memory: 17087 grad_norm: 4.7046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8272 loss: 1.8272 2022/08/03 15:05:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:05:26 - mmengine - INFO - Epoch(train) [27][160/1879] lr: 1.0000e-02 eta: 2 days, 3:24:50 time: 0.4284 data_time: 0.0153 memory: 17087 grad_norm: 4.7782 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9777 loss: 1.9777 2022/08/03 15:05:34 - mmengine - INFO - Epoch(train) [27][180/1879] lr: 1.0000e-02 eta: 2 days, 3:24:42 time: 0.4274 data_time: 0.0157 memory: 17087 grad_norm: 4.6968 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6082 loss: 1.6082 2022/08/03 15:05:43 - mmengine - INFO - Epoch(train) [27][200/1879] lr: 1.0000e-02 eta: 2 days, 3:24:32 time: 0.4245 data_time: 0.0144 memory: 17087 grad_norm: 4.9056 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9378 loss: 1.9378 2022/08/03 15:05:52 - mmengine - INFO - Epoch(train) [27][220/1879] lr: 1.0000e-02 eta: 2 days, 3:24:28 time: 0.4519 data_time: 0.0168 memory: 17087 grad_norm: 4.8833 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9439 loss: 1.9439 2022/08/03 15:06:00 - mmengine - INFO - Epoch(train) [27][240/1879] lr: 1.0000e-02 eta: 2 days, 3:24:18 time: 0.4238 data_time: 0.0154 memory: 17087 grad_norm: 4.8005 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6752 loss: 1.6752 2022/08/03 15:06:09 - mmengine - INFO - Epoch(train) [27][260/1879] lr: 1.0000e-02 eta: 2 days, 3:24:09 time: 0.4254 data_time: 0.0160 memory: 17087 grad_norm: 4.8921 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0979 loss: 2.0979 2022/08/03 15:06:17 - mmengine - INFO - Epoch(train) [27][280/1879] lr: 1.0000e-02 eta: 2 days, 3:24:01 time: 0.4273 data_time: 0.0148 memory: 17087 grad_norm: 4.7762 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7340 loss: 1.7340 2022/08/03 15:06:26 - mmengine - INFO - Epoch(train) [27][300/1879] lr: 1.0000e-02 eta: 2 days, 3:23:51 time: 0.4243 data_time: 0.0147 memory: 17087 grad_norm: 4.7886 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8030 loss: 1.8030 2022/08/03 15:06:34 - mmengine - INFO - Epoch(train) [27][320/1879] lr: 1.0000e-02 eta: 2 days, 3:23:43 time: 0.4293 data_time: 0.0156 memory: 17087 grad_norm: 4.6981 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8728 loss: 1.8728 2022/08/03 15:06:43 - mmengine - INFO - Epoch(train) [27][340/1879] lr: 1.0000e-02 eta: 2 days, 3:23:34 time: 0.4273 data_time: 0.0156 memory: 17087 grad_norm: 4.7795 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8500 loss: 1.8500 2022/08/03 15:06:51 - mmengine - INFO - Epoch(train) [27][360/1879] lr: 1.0000e-02 eta: 2 days, 3:23:25 time: 0.4250 data_time: 0.0154 memory: 17087 grad_norm: 4.6888 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7441 loss: 1.7441 2022/08/03 15:07:00 - mmengine - INFO - Epoch(train) [27][380/1879] lr: 1.0000e-02 eta: 2 days, 3:23:16 time: 0.4259 data_time: 0.0166 memory: 17087 grad_norm: 4.6383 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5838 loss: 1.5838 2022/08/03 15:07:09 - mmengine - INFO - Epoch(train) [27][400/1879] lr: 1.0000e-02 eta: 2 days, 3:23:07 time: 0.4261 data_time: 0.0158 memory: 17087 grad_norm: 4.7468 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7344 loss: 1.7344 2022/08/03 15:07:17 - mmengine - INFO - Epoch(train) [27][420/1879] lr: 1.0000e-02 eta: 2 days, 3:22:58 time: 0.4237 data_time: 0.0147 memory: 17087 grad_norm: 4.8492 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7174 loss: 1.7174 2022/08/03 15:07:26 - mmengine - INFO - Epoch(train) [27][440/1879] lr: 1.0000e-02 eta: 2 days, 3:22:49 time: 0.4270 data_time: 0.0163 memory: 17087 grad_norm: 4.8297 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9624 loss: 1.9624 2022/08/03 15:07:34 - mmengine - INFO - Epoch(train) [27][460/1879] lr: 1.0000e-02 eta: 2 days, 3:22:39 time: 0.4236 data_time: 0.0146 memory: 17087 grad_norm: 4.7317 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5481 loss: 1.5481 2022/08/03 15:07:43 - mmengine - INFO - Epoch(train) [27][480/1879] lr: 1.0000e-02 eta: 2 days, 3:22:31 time: 0.4278 data_time: 0.0154 memory: 17087 grad_norm: 4.9056 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7339 loss: 1.7339 2022/08/03 15:07:51 - mmengine - INFO - Epoch(train) [27][500/1879] lr: 1.0000e-02 eta: 2 days, 3:22:21 time: 0.4245 data_time: 0.0149 memory: 17087 grad_norm: 4.8917 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6867 loss: 1.6867 2022/08/03 15:08:00 - mmengine - INFO - Epoch(train) [27][520/1879] lr: 1.0000e-02 eta: 2 days, 3:22:13 time: 0.4276 data_time: 0.0160 memory: 17087 grad_norm: 4.6618 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6696 loss: 1.6696 2022/08/03 15:08:08 - mmengine - INFO - Epoch(train) [27][540/1879] lr: 1.0000e-02 eta: 2 days, 3:22:03 time: 0.4252 data_time: 0.0147 memory: 17087 grad_norm: 4.6654 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8256 loss: 1.8256 2022/08/03 15:08:17 - mmengine - INFO - Epoch(train) [27][560/1879] lr: 1.0000e-02 eta: 2 days, 3:21:54 time: 0.4258 data_time: 0.0149 memory: 17087 grad_norm: 4.7675 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8803 loss: 1.8803 2022/08/03 15:08:25 - mmengine - INFO - Epoch(train) [27][580/1879] lr: 1.0000e-02 eta: 2 days, 3:21:46 time: 0.4275 data_time: 0.0165 memory: 17087 grad_norm: 4.6017 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8083 loss: 1.8083 2022/08/03 15:08:34 - mmengine - INFO - Epoch(train) [27][600/1879] lr: 1.0000e-02 eta: 2 days, 3:21:37 time: 0.4257 data_time: 0.0155 memory: 17087 grad_norm: 4.6440 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6758 loss: 1.6758 2022/08/03 15:08:42 - mmengine - INFO - Epoch(train) [27][620/1879] lr: 1.0000e-02 eta: 2 days, 3:21:28 time: 0.4259 data_time: 0.0136 memory: 17087 grad_norm: 4.7425 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8615 loss: 1.8615 2022/08/03 15:08:51 - mmengine - INFO - Epoch(train) [27][640/1879] lr: 1.0000e-02 eta: 2 days, 3:21:19 time: 0.4295 data_time: 0.0153 memory: 17087 grad_norm: 4.7536 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6285 loss: 1.6285 2022/08/03 15:08:59 - mmengine - INFO - Epoch(train) [27][660/1879] lr: 1.0000e-02 eta: 2 days, 3:21:11 time: 0.4296 data_time: 0.0186 memory: 17087 grad_norm: 4.9460 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6278 loss: 1.6278 2022/08/03 15:09:08 - mmengine - INFO - Epoch(train) [27][680/1879] lr: 1.0000e-02 eta: 2 days, 3:21:02 time: 0.4241 data_time: 0.0179 memory: 17087 grad_norm: 4.6979 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8238 loss: 1.8238 2022/08/03 15:09:16 - mmengine - INFO - Epoch(train) [27][700/1879] lr: 1.0000e-02 eta: 2 days, 3:20:53 time: 0.4270 data_time: 0.0152 memory: 17087 grad_norm: 4.8522 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7383 loss: 1.7383 2022/08/03 15:09:25 - mmengine - INFO - Epoch(train) [27][720/1879] lr: 1.0000e-02 eta: 2 days, 3:20:44 time: 0.4247 data_time: 0.0150 memory: 17087 grad_norm: 4.7051 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0171 loss: 2.0171 2022/08/03 15:09:34 - mmengine - INFO - Epoch(train) [27][740/1879] lr: 1.0000e-02 eta: 2 days, 3:20:36 time: 0.4361 data_time: 0.0153 memory: 17087 grad_norm: 4.8311 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9929 loss: 1.9929 2022/08/03 15:09:42 - mmengine - INFO - Epoch(train) [27][760/1879] lr: 1.0000e-02 eta: 2 days, 3:20:28 time: 0.4294 data_time: 0.0164 memory: 17087 grad_norm: 4.7070 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7112 loss: 1.7112 2022/08/03 15:09:51 - mmengine - INFO - Epoch(train) [27][780/1879] lr: 1.0000e-02 eta: 2 days, 3:20:18 time: 0.4229 data_time: 0.0148 memory: 17087 grad_norm: 4.7365 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8746 loss: 1.8746 2022/08/03 15:10:00 - mmengine - INFO - Epoch(train) [27][800/1879] lr: 1.0000e-02 eta: 2 days, 3:20:14 time: 0.4521 data_time: 0.0166 memory: 17087 grad_norm: 4.7869 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6201 loss: 1.6201 2022/08/03 15:10:08 - mmengine - INFO - Epoch(train) [27][820/1879] lr: 1.0000e-02 eta: 2 days, 3:20:04 time: 0.4233 data_time: 0.0144 memory: 17087 grad_norm: 4.6185 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6617 loss: 1.6617 2022/08/03 15:10:17 - mmengine - INFO - Epoch(train) [27][840/1879] lr: 1.0000e-02 eta: 2 days, 3:19:56 time: 0.4303 data_time: 0.0169 memory: 17087 grad_norm: 4.7912 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8812 loss: 1.8812 2022/08/03 15:10:25 - mmengine - INFO - Epoch(train) [27][860/1879] lr: 1.0000e-02 eta: 2 days, 3:19:47 time: 0.4250 data_time: 0.0140 memory: 17087 grad_norm: 4.6380 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8533 loss: 1.8533 2022/08/03 15:10:35 - mmengine - INFO - Epoch(train) [27][880/1879] lr: 1.0000e-02 eta: 2 days, 3:19:45 time: 0.4641 data_time: 0.0158 memory: 17087 grad_norm: 4.6216 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8207 loss: 1.8207 2022/08/03 15:10:43 - mmengine - INFO - Epoch(train) [27][900/1879] lr: 1.0000e-02 eta: 2 days, 3:19:35 time: 0.4221 data_time: 0.0140 memory: 17087 grad_norm: 4.5743 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6991 loss: 1.6991 2022/08/03 15:10:52 - mmengine - INFO - Epoch(train) [27][920/1879] lr: 1.0000e-02 eta: 2 days, 3:19:27 time: 0.4293 data_time: 0.0178 memory: 17087 grad_norm: 4.7764 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9492 loss: 1.9492 2022/08/03 15:11:00 - mmengine - INFO - Epoch(train) [27][940/1879] lr: 1.0000e-02 eta: 2 days, 3:19:19 time: 0.4322 data_time: 0.0148 memory: 17087 grad_norm: 4.7951 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8358 loss: 1.8358 2022/08/03 15:11:09 - mmengine - INFO - Epoch(train) [27][960/1879] lr: 1.0000e-02 eta: 2 days, 3:19:10 time: 0.4250 data_time: 0.0163 memory: 17087 grad_norm: 4.8016 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8565 loss: 1.8565 2022/08/03 15:11:18 - mmengine - INFO - Epoch(train) [27][980/1879] lr: 1.0000e-02 eta: 2 days, 3:19:04 time: 0.4464 data_time: 0.0206 memory: 17087 grad_norm: 4.7626 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8416 loss: 1.8416 2022/08/03 15:11:26 - mmengine - INFO - Epoch(train) [27][1000/1879] lr: 1.0000e-02 eta: 2 days, 3:18:55 time: 0.4256 data_time: 0.0162 memory: 17087 grad_norm: 4.8889 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8635 loss: 1.8635 2022/08/03 15:11:35 - mmengine - INFO - Epoch(train) [27][1020/1879] lr: 1.0000e-02 eta: 2 days, 3:18:47 time: 0.4296 data_time: 0.0159 memory: 17087 grad_norm: 4.7802 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6614 loss: 1.6614 2022/08/03 15:11:43 - mmengine - INFO - Epoch(train) [27][1040/1879] lr: 1.0000e-02 eta: 2 days, 3:18:37 time: 0.4234 data_time: 0.0155 memory: 17087 grad_norm: 4.8092 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8726 loss: 1.8726 2022/08/03 15:11:52 - mmengine - INFO - Epoch(train) [27][1060/1879] lr: 1.0000e-02 eta: 2 days, 3:18:28 time: 0.4269 data_time: 0.0155 memory: 17087 grad_norm: 4.6959 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.7484 loss: 1.7484 2022/08/03 15:12:00 - mmengine - INFO - Epoch(train) [27][1080/1879] lr: 1.0000e-02 eta: 2 days, 3:18:19 time: 0.4233 data_time: 0.0147 memory: 17087 grad_norm: 4.7859 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7268 loss: 1.7268 2022/08/03 15:12:09 - mmengine - INFO - Epoch(train) [27][1100/1879] lr: 1.0000e-02 eta: 2 days, 3:18:15 time: 0.4535 data_time: 0.0186 memory: 17087 grad_norm: 4.8280 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8036 loss: 1.8036 2022/08/03 15:12:18 - mmengine - INFO - Epoch(train) [27][1120/1879] lr: 1.0000e-02 eta: 2 days, 3:18:05 time: 0.4244 data_time: 0.0157 memory: 17087 grad_norm: 4.8256 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9202 loss: 1.9202 2022/08/03 15:12:26 - mmengine - INFO - Epoch(train) [27][1140/1879] lr: 1.0000e-02 eta: 2 days, 3:17:56 time: 0.4214 data_time: 0.0127 memory: 17087 grad_norm: 4.8447 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9201 loss: 1.9201 2022/08/03 15:12:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:12:35 - mmengine - INFO - Epoch(train) [27][1160/1879] lr: 1.0000e-02 eta: 2 days, 3:17:48 time: 0.4334 data_time: 0.0173 memory: 17087 grad_norm: 4.8982 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8829 loss: 1.8829 2022/08/03 15:12:44 - mmengine - INFO - Epoch(train) [27][1180/1879] lr: 1.0000e-02 eta: 2 days, 3:17:39 time: 0.4278 data_time: 0.0160 memory: 17087 grad_norm: 4.9762 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8434 loss: 1.8434 2022/08/03 15:12:53 - mmengine - INFO - Epoch(train) [27][1200/1879] lr: 1.0000e-02 eta: 2 days, 3:17:33 time: 0.4433 data_time: 0.0148 memory: 17087 grad_norm: 4.8432 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7922 loss: 1.7922 2022/08/03 15:13:01 - mmengine - INFO - Epoch(train) [27][1220/1879] lr: 1.0000e-02 eta: 2 days, 3:17:26 time: 0.4363 data_time: 0.0229 memory: 17087 grad_norm: 4.8767 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8365 loss: 1.8365 2022/08/03 15:13:10 - mmengine - INFO - Epoch(train) [27][1240/1879] lr: 1.0000e-02 eta: 2 days, 3:17:17 time: 0.4246 data_time: 0.0169 memory: 17087 grad_norm: 4.7652 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7667 loss: 1.7667 2022/08/03 15:13:18 - mmengine - INFO - Epoch(train) [27][1260/1879] lr: 1.0000e-02 eta: 2 days, 3:17:08 time: 0.4256 data_time: 0.0134 memory: 17087 grad_norm: 4.8604 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7082 loss: 1.7082 2022/08/03 15:13:27 - mmengine - INFO - Epoch(train) [27][1280/1879] lr: 1.0000e-02 eta: 2 days, 3:16:59 time: 0.4254 data_time: 0.0152 memory: 17087 grad_norm: 4.8144 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7236 loss: 1.7236 2022/08/03 15:13:35 - mmengine - INFO - Epoch(train) [27][1300/1879] lr: 1.0000e-02 eta: 2 days, 3:16:50 time: 0.4285 data_time: 0.0187 memory: 17087 grad_norm: 4.8638 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7391 loss: 1.7391 2022/08/03 15:13:44 - mmengine - INFO - Epoch(train) [27][1320/1879] lr: 1.0000e-02 eta: 2 days, 3:16:43 time: 0.4359 data_time: 0.0149 memory: 17087 grad_norm: 4.7646 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7470 loss: 1.7470 2022/08/03 15:13:53 - mmengine - INFO - Epoch(train) [27][1340/1879] lr: 1.0000e-02 eta: 2 days, 3:16:34 time: 0.4299 data_time: 0.0192 memory: 17087 grad_norm: 4.8085 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6603 loss: 1.6603 2022/08/03 15:14:02 - mmengine - INFO - Epoch(train) [27][1360/1879] lr: 1.0000e-02 eta: 2 days, 3:16:29 time: 0.4476 data_time: 0.0163 memory: 17087 grad_norm: 4.7082 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7322 loss: 1.7322 2022/08/03 15:14:10 - mmengine - INFO - Epoch(train) [27][1380/1879] lr: 1.0000e-02 eta: 2 days, 3:16:20 time: 0.4242 data_time: 0.0145 memory: 17087 grad_norm: 4.8116 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5955 loss: 1.5955 2022/08/03 15:14:19 - mmengine - INFO - Epoch(train) [27][1400/1879] lr: 1.0000e-02 eta: 2 days, 3:16:12 time: 0.4333 data_time: 0.0176 memory: 17087 grad_norm: 4.8828 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8738 loss: 1.8738 2022/08/03 15:14:27 - mmengine - INFO - Epoch(train) [27][1420/1879] lr: 1.0000e-02 eta: 2 days, 3:16:02 time: 0.4224 data_time: 0.0165 memory: 17087 grad_norm: 4.6858 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8740 loss: 1.8740 2022/08/03 15:14:36 - mmengine - INFO - Epoch(train) [27][1440/1879] lr: 1.0000e-02 eta: 2 days, 3:15:53 time: 0.4261 data_time: 0.0169 memory: 17087 grad_norm: 4.6854 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8442 loss: 1.8442 2022/08/03 15:14:44 - mmengine - INFO - Epoch(train) [27][1460/1879] lr: 1.0000e-02 eta: 2 days, 3:15:45 time: 0.4319 data_time: 0.0155 memory: 17087 grad_norm: 4.7780 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7588 loss: 1.7588 2022/08/03 15:14:53 - mmengine - INFO - Epoch(train) [27][1480/1879] lr: 1.0000e-02 eta: 2 days, 3:15:36 time: 0.4239 data_time: 0.0150 memory: 17087 grad_norm: 4.7439 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9936 loss: 1.9936 2022/08/03 15:15:01 - mmengine - INFO - Epoch(train) [27][1500/1879] lr: 1.0000e-02 eta: 2 days, 3:15:27 time: 0.4252 data_time: 0.0169 memory: 17087 grad_norm: 4.8751 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7450 loss: 1.7450 2022/08/03 15:15:10 - mmengine - INFO - Epoch(train) [27][1520/1879] lr: 1.0000e-02 eta: 2 days, 3:15:18 time: 0.4270 data_time: 0.0164 memory: 17087 grad_norm: 4.7438 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7744 loss: 1.7744 2022/08/03 15:15:19 - mmengine - INFO - Epoch(train) [27][1540/1879] lr: 1.0000e-02 eta: 2 days, 3:15:13 time: 0.4458 data_time: 0.0161 memory: 17087 grad_norm: 4.7389 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8911 loss: 1.8911 2022/08/03 15:15:27 - mmengine - INFO - Epoch(train) [27][1560/1879] lr: 1.0000e-02 eta: 2 days, 3:15:03 time: 0.4231 data_time: 0.0152 memory: 17087 grad_norm: 4.6915 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7046 loss: 1.7046 2022/08/03 15:15:36 - mmengine - INFO - Epoch(train) [27][1580/1879] lr: 1.0000e-02 eta: 2 days, 3:14:55 time: 0.4295 data_time: 0.0151 memory: 17087 grad_norm: 4.7598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9188 loss: 1.9188 2022/08/03 15:15:45 - mmengine - INFO - Epoch(train) [27][1600/1879] lr: 1.0000e-02 eta: 2 days, 3:14:47 time: 0.4316 data_time: 0.0168 memory: 17087 grad_norm: 4.7425 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8484 loss: 1.8484 2022/08/03 15:15:53 - mmengine - INFO - Epoch(train) [27][1620/1879] lr: 1.0000e-02 eta: 2 days, 3:14:38 time: 0.4308 data_time: 0.0178 memory: 17087 grad_norm: 4.6660 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8583 loss: 1.8583 2022/08/03 15:16:02 - mmengine - INFO - Epoch(train) [27][1640/1879] lr: 1.0000e-02 eta: 2 days, 3:14:32 time: 0.4416 data_time: 0.0158 memory: 17087 grad_norm: 4.6489 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7230 loss: 1.7230 2022/08/03 15:16:10 - mmengine - INFO - Epoch(train) [27][1660/1879] lr: 1.0000e-02 eta: 2 days, 3:14:23 time: 0.4257 data_time: 0.0183 memory: 17087 grad_norm: 4.7914 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8831 loss: 1.8831 2022/08/03 15:16:19 - mmengine - INFO - Epoch(train) [27][1680/1879] lr: 1.0000e-02 eta: 2 days, 3:14:17 time: 0.4447 data_time: 0.0156 memory: 17087 grad_norm: 4.6661 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7873 loss: 1.7873 2022/08/03 15:16:28 - mmengine - INFO - Epoch(train) [27][1700/1879] lr: 1.0000e-02 eta: 2 days, 3:14:08 time: 0.4234 data_time: 0.0144 memory: 17087 grad_norm: 4.8938 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6214 loss: 1.6214 2022/08/03 15:16:37 - mmengine - INFO - Epoch(train) [27][1720/1879] lr: 1.0000e-02 eta: 2 days, 3:14:00 time: 0.4337 data_time: 0.0162 memory: 17087 grad_norm: 4.7782 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7788 loss: 1.7788 2022/08/03 15:16:45 - mmengine - INFO - Epoch(train) [27][1740/1879] lr: 1.0000e-02 eta: 2 days, 3:13:51 time: 0.4251 data_time: 0.0155 memory: 17087 grad_norm: 4.7131 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8297 loss: 1.8297 2022/08/03 15:16:54 - mmengine - INFO - Epoch(train) [27][1760/1879] lr: 1.0000e-02 eta: 2 days, 3:13:45 time: 0.4435 data_time: 0.0163 memory: 17087 grad_norm: 4.6793 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9029 loss: 1.9029 2022/08/03 15:17:02 - mmengine - INFO - Epoch(train) [27][1780/1879] lr: 1.0000e-02 eta: 2 days, 3:13:36 time: 0.4241 data_time: 0.0176 memory: 17087 grad_norm: 4.8082 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7666 loss: 1.7666 2022/08/03 15:17:11 - mmengine - INFO - Epoch(train) [27][1800/1879] lr: 1.0000e-02 eta: 2 days, 3:13:27 time: 0.4261 data_time: 0.0169 memory: 17087 grad_norm: 4.8529 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8676 loss: 1.8676 2022/08/03 15:17:20 - mmengine - INFO - Epoch(train) [27][1820/1879] lr: 1.0000e-02 eta: 2 days, 3:13:19 time: 0.4305 data_time: 0.0166 memory: 17087 grad_norm: 4.7171 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7619 loss: 1.7619 2022/08/03 15:17:28 - mmengine - INFO - Epoch(train) [27][1840/1879] lr: 1.0000e-02 eta: 2 days, 3:13:09 time: 0.4249 data_time: 0.0156 memory: 17087 grad_norm: 4.7549 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9267 loss: 1.9267 2022/08/03 15:17:37 - mmengine - INFO - Epoch(train) [27][1860/1879] lr: 1.0000e-02 eta: 2 days, 3:13:00 time: 0.4240 data_time: 0.0140 memory: 17087 grad_norm: 4.8513 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0353 loss: 2.0353 2022/08/03 15:17:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:17:44 - mmengine - INFO - Epoch(train) [27][1879/1879] lr: 1.0000e-02 eta: 2 days, 3:13:00 time: 0.4160 data_time: 0.0146 memory: 17087 grad_norm: 4.9048 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.0749 loss: 2.0749 2022/08/03 15:17:56 - mmengine - INFO - Epoch(train) [28][20/1879] lr: 1.0000e-02 eta: 2 days, 3:11:58 time: 0.5700 data_time: 0.1197 memory: 17087 grad_norm: 4.7948 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8167 loss: 1.8167 2022/08/03 15:18:04 - mmengine - INFO - Epoch(train) [28][40/1879] lr: 1.0000e-02 eta: 2 days, 3:11:50 time: 0.4305 data_time: 0.0167 memory: 17087 grad_norm: 4.7921 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7132 loss: 1.7132 2022/08/03 15:18:13 - mmengine - INFO - Epoch(train) [28][60/1879] lr: 1.0000e-02 eta: 2 days, 3:11:41 time: 0.4250 data_time: 0.0145 memory: 17087 grad_norm: 4.7051 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6888 loss: 1.6888 2022/08/03 15:18:22 - mmengine - INFO - Epoch(train) [28][80/1879] lr: 1.0000e-02 eta: 2 days, 3:11:33 time: 0.4297 data_time: 0.0165 memory: 17087 grad_norm: 4.7387 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8020 loss: 1.8020 2022/08/03 15:18:30 - mmengine - INFO - Epoch(train) [28][100/1879] lr: 1.0000e-02 eta: 2 days, 3:11:23 time: 0.4221 data_time: 0.0130 memory: 17087 grad_norm: 4.7348 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9877 loss: 1.9877 2022/08/03 15:18:39 - mmengine - INFO - Epoch(train) [28][120/1879] lr: 1.0000e-02 eta: 2 days, 3:11:14 time: 0.4286 data_time: 0.0166 memory: 17087 grad_norm: 4.5931 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6885 loss: 1.6885 2022/08/03 15:18:47 - mmengine - INFO - Epoch(train) [28][140/1879] lr: 1.0000e-02 eta: 2 days, 3:11:05 time: 0.4224 data_time: 0.0132 memory: 17087 grad_norm: 4.9337 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6703 loss: 1.6703 2022/08/03 15:18:56 - mmengine - INFO - Epoch(train) [28][160/1879] lr: 1.0000e-02 eta: 2 days, 3:10:56 time: 0.4250 data_time: 0.0150 memory: 17087 grad_norm: 4.8584 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8875 loss: 1.8875 2022/08/03 15:19:04 - mmengine - INFO - Epoch(train) [28][180/1879] lr: 1.0000e-02 eta: 2 days, 3:10:49 time: 0.4398 data_time: 0.0162 memory: 17087 grad_norm: 4.7426 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6841 loss: 1.6841 2022/08/03 15:19:13 - mmengine - INFO - Epoch(train) [28][200/1879] lr: 1.0000e-02 eta: 2 days, 3:10:40 time: 0.4246 data_time: 0.0160 memory: 17087 grad_norm: 4.7415 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6267 loss: 1.6267 2022/08/03 15:19:22 - mmengine - INFO - Epoch(train) [28][220/1879] lr: 1.0000e-02 eta: 2 days, 3:10:32 time: 0.4344 data_time: 0.0151 memory: 17087 grad_norm: 4.7074 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8601 loss: 1.8601 2022/08/03 15:19:30 - mmengine - INFO - Epoch(train) [28][240/1879] lr: 1.0000e-02 eta: 2 days, 3:10:23 time: 0.4250 data_time: 0.0156 memory: 17087 grad_norm: 4.7965 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8273 loss: 1.8273 2022/08/03 15:19:39 - mmengine - INFO - Epoch(train) [28][260/1879] lr: 1.0000e-02 eta: 2 days, 3:10:15 time: 0.4332 data_time: 0.0205 memory: 17087 grad_norm: 4.7780 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8620 loss: 1.8620 2022/08/03 15:19:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:19:47 - mmengine - INFO - Epoch(train) [28][280/1879] lr: 1.0000e-02 eta: 2 days, 3:10:06 time: 0.4265 data_time: 0.0158 memory: 17087 grad_norm: 4.6682 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6546 loss: 1.6546 2022/08/03 15:19:56 - mmengine - INFO - Epoch(train) [28][300/1879] lr: 1.0000e-02 eta: 2 days, 3:09:57 time: 0.4218 data_time: 0.0142 memory: 17087 grad_norm: 4.7894 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8389 loss: 1.8389 2022/08/03 15:20:04 - mmengine - INFO - Epoch(train) [28][320/1879] lr: 1.0000e-02 eta: 2 days, 3:09:48 time: 0.4285 data_time: 0.0165 memory: 17087 grad_norm: 4.8568 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6990 loss: 1.6990 2022/08/03 15:20:13 - mmengine - INFO - Epoch(train) [28][340/1879] lr: 1.0000e-02 eta: 2 days, 3:09:39 time: 0.4249 data_time: 0.0169 memory: 17087 grad_norm: 4.8949 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9360 loss: 1.9360 2022/08/03 15:20:22 - mmengine - INFO - Epoch(train) [28][360/1879] lr: 1.0000e-02 eta: 2 days, 3:09:32 time: 0.4364 data_time: 0.0165 memory: 17087 grad_norm: 4.7653 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9018 loss: 1.9018 2022/08/03 15:20:30 - mmengine - INFO - Epoch(train) [28][380/1879] lr: 1.0000e-02 eta: 2 days, 3:09:23 time: 0.4254 data_time: 0.0148 memory: 17087 grad_norm: 4.7535 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7234 loss: 1.7234 2022/08/03 15:20:39 - mmengine - INFO - Epoch(train) [28][400/1879] lr: 1.0000e-02 eta: 2 days, 3:09:14 time: 0.4249 data_time: 0.0149 memory: 17087 grad_norm: 4.8780 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6962 loss: 1.6962 2022/08/03 15:20:47 - mmengine - INFO - Epoch(train) [28][420/1879] lr: 1.0000e-02 eta: 2 days, 3:09:05 time: 0.4283 data_time: 0.0173 memory: 17087 grad_norm: 4.7659 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9046 loss: 1.9046 2022/08/03 15:20:56 - mmengine - INFO - Epoch(train) [28][440/1879] lr: 1.0000e-02 eta: 2 days, 3:08:56 time: 0.4254 data_time: 0.0188 memory: 17087 grad_norm: 4.6012 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7345 loss: 1.7345 2022/08/03 15:21:05 - mmengine - INFO - Epoch(train) [28][460/1879] lr: 1.0000e-02 eta: 2 days, 3:08:53 time: 0.4596 data_time: 0.0178 memory: 17087 grad_norm: 4.8442 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8984 loss: 1.8984 2022/08/03 15:21:13 - mmengine - INFO - Epoch(train) [28][480/1879] lr: 1.0000e-02 eta: 2 days, 3:08:44 time: 0.4257 data_time: 0.0153 memory: 17087 grad_norm: 4.7990 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7554 loss: 1.7554 2022/08/03 15:21:22 - mmengine - INFO - Epoch(train) [28][500/1879] lr: 1.0000e-02 eta: 2 days, 3:08:36 time: 0.4319 data_time: 0.0159 memory: 17087 grad_norm: 4.7370 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7620 loss: 1.7620 2022/08/03 15:21:30 - mmengine - INFO - Epoch(train) [28][520/1879] lr: 1.0000e-02 eta: 2 days, 3:08:27 time: 0.4248 data_time: 0.0151 memory: 17087 grad_norm: 4.7275 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6411 loss: 1.6411 2022/08/03 15:21:39 - mmengine - INFO - Epoch(train) [28][540/1879] lr: 1.0000e-02 eta: 2 days, 3:08:20 time: 0.4414 data_time: 0.0139 memory: 17087 grad_norm: 4.8106 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8084 loss: 1.8084 2022/08/03 15:21:48 - mmengine - INFO - Epoch(train) [28][560/1879] lr: 1.0000e-02 eta: 2 days, 3:08:11 time: 0.4247 data_time: 0.0155 memory: 17087 grad_norm: 4.7060 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6118 loss: 1.6118 2022/08/03 15:21:56 - mmengine - INFO - Epoch(train) [28][580/1879] lr: 1.0000e-02 eta: 2 days, 3:08:03 time: 0.4292 data_time: 0.0148 memory: 17087 grad_norm: 4.7442 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7591 loss: 1.7591 2022/08/03 15:22:05 - mmengine - INFO - Epoch(train) [28][600/1879] lr: 1.0000e-02 eta: 2 days, 3:07:54 time: 0.4257 data_time: 0.0158 memory: 17087 grad_norm: 4.7860 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6381 loss: 1.6381 2022/08/03 15:22:14 - mmengine - INFO - Epoch(train) [28][620/1879] lr: 1.0000e-02 eta: 2 days, 3:07:48 time: 0.4445 data_time: 0.0149 memory: 17087 grad_norm: 4.8251 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7863 loss: 1.7863 2022/08/03 15:22:22 - mmengine - INFO - Epoch(train) [28][640/1879] lr: 1.0000e-02 eta: 2 days, 3:07:39 time: 0.4258 data_time: 0.0160 memory: 17087 grad_norm: 4.8226 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7059 loss: 1.7059 2022/08/03 15:22:31 - mmengine - INFO - Epoch(train) [28][660/1879] lr: 1.0000e-02 eta: 2 days, 3:07:30 time: 0.4291 data_time: 0.0154 memory: 17087 grad_norm: 4.7182 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7680 loss: 1.7680 2022/08/03 15:22:39 - mmengine - INFO - Epoch(train) [28][680/1879] lr: 1.0000e-02 eta: 2 days, 3:07:22 time: 0.4294 data_time: 0.0153 memory: 17087 grad_norm: 4.7482 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6803 loss: 1.6803 2022/08/03 15:22:48 - mmengine - INFO - Epoch(train) [28][700/1879] lr: 1.0000e-02 eta: 2 days, 3:07:12 time: 0.4231 data_time: 0.0133 memory: 17087 grad_norm: 4.7573 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7560 loss: 1.7560 2022/08/03 15:22:56 - mmengine - INFO - Epoch(train) [28][720/1879] lr: 1.0000e-02 eta: 2 days, 3:07:03 time: 0.4257 data_time: 0.0156 memory: 17087 grad_norm: 4.7596 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6625 loss: 1.6625 2022/08/03 15:23:05 - mmengine - INFO - Epoch(train) [28][740/1879] lr: 1.0000e-02 eta: 2 days, 3:06:55 time: 0.4307 data_time: 0.0155 memory: 17087 grad_norm: 4.7749 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7848 loss: 1.7848 2022/08/03 15:23:14 - mmengine - INFO - Epoch(train) [28][760/1879] lr: 1.0000e-02 eta: 2 days, 3:06:46 time: 0.4233 data_time: 0.0147 memory: 17087 grad_norm: 4.6338 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9876 loss: 1.9876 2022/08/03 15:23:22 - mmengine - INFO - Epoch(train) [28][780/1879] lr: 1.0000e-02 eta: 2 days, 3:06:39 time: 0.4398 data_time: 0.0132 memory: 17087 grad_norm: 4.8026 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7900 loss: 1.7900 2022/08/03 15:23:31 - mmengine - INFO - Epoch(train) [28][800/1879] lr: 1.0000e-02 eta: 2 days, 3:06:30 time: 0.4283 data_time: 0.0192 memory: 17087 grad_norm: 4.7011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7346 loss: 1.7346 2022/08/03 15:23:39 - mmengine - INFO - Epoch(train) [28][820/1879] lr: 1.0000e-02 eta: 2 days, 3:06:21 time: 0.4257 data_time: 0.0147 memory: 17087 grad_norm: 4.7437 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8112 loss: 1.8112 2022/08/03 15:23:48 - mmengine - INFO - Epoch(train) [28][840/1879] lr: 1.0000e-02 eta: 2 days, 3:06:12 time: 0.4246 data_time: 0.0168 memory: 17087 grad_norm: 4.8142 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6637 loss: 1.6637 2022/08/03 15:23:56 - mmengine - INFO - Epoch(train) [28][860/1879] lr: 1.0000e-02 eta: 2 days, 3:06:03 time: 0.4213 data_time: 0.0146 memory: 17087 grad_norm: 4.6856 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5832 loss: 1.5832 2022/08/03 15:24:05 - mmengine - INFO - Epoch(train) [28][880/1879] lr: 1.0000e-02 eta: 2 days, 3:05:57 time: 0.4440 data_time: 0.0158 memory: 17087 grad_norm: 4.7953 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6699 loss: 1.6699 2022/08/03 15:24:14 - mmengine - INFO - Epoch(train) [28][900/1879] lr: 1.0000e-02 eta: 2 days, 3:05:47 time: 0.4234 data_time: 0.0153 memory: 17087 grad_norm: 4.9444 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.7410 loss: 1.7410 2022/08/03 15:24:22 - mmengine - INFO - Epoch(train) [28][920/1879] lr: 1.0000e-02 eta: 2 days, 3:05:39 time: 0.4332 data_time: 0.0158 memory: 17087 grad_norm: 4.7656 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9373 loss: 1.9373 2022/08/03 15:24:31 - mmengine - INFO - Epoch(train) [28][940/1879] lr: 1.0000e-02 eta: 2 days, 3:05:30 time: 0.4227 data_time: 0.0137 memory: 17087 grad_norm: 4.7333 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5731 loss: 1.5731 2022/08/03 15:24:39 - mmengine - INFO - Epoch(train) [28][960/1879] lr: 1.0000e-02 eta: 2 days, 3:05:21 time: 0.4281 data_time: 0.0163 memory: 17087 grad_norm: 4.7369 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7405 loss: 1.7405 2022/08/03 15:24:48 - mmengine - INFO - Epoch(train) [28][980/1879] lr: 1.0000e-02 eta: 2 days, 3:05:12 time: 0.4229 data_time: 0.0146 memory: 17087 grad_norm: 4.5950 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8380 loss: 1.8380 2022/08/03 15:24:56 - mmengine - INFO - Epoch(train) [28][1000/1879] lr: 1.0000e-02 eta: 2 days, 3:05:03 time: 0.4249 data_time: 0.0148 memory: 17087 grad_norm: 4.6996 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7982 loss: 1.7982 2022/08/03 15:25:05 - mmengine - INFO - Epoch(train) [28][1020/1879] lr: 1.0000e-02 eta: 2 days, 3:04:54 time: 0.4285 data_time: 0.0149 memory: 17087 grad_norm: 4.8216 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6681 loss: 1.6681 2022/08/03 15:25:13 - mmengine - INFO - Epoch(train) [28][1040/1879] lr: 1.0000e-02 eta: 2 days, 3:04:45 time: 0.4255 data_time: 0.0154 memory: 17087 grad_norm: 4.7065 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6444 loss: 1.6444 2022/08/03 15:25:22 - mmengine - INFO - Epoch(train) [28][1060/1879] lr: 1.0000e-02 eta: 2 days, 3:04:40 time: 0.4473 data_time: 0.0126 memory: 17087 grad_norm: 4.7528 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7673 loss: 1.7673 2022/08/03 15:25:31 - mmengine - INFO - Epoch(train) [28][1080/1879] lr: 1.0000e-02 eta: 2 days, 3:04:31 time: 0.4290 data_time: 0.0192 memory: 17087 grad_norm: 4.8604 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6649 loss: 1.6649 2022/08/03 15:25:40 - mmengine - INFO - Epoch(train) [28][1100/1879] lr: 1.0000e-02 eta: 2 days, 3:04:26 time: 0.4502 data_time: 0.0156 memory: 17087 grad_norm: 4.8783 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6375 loss: 1.6375 2022/08/03 15:25:49 - mmengine - INFO - Epoch(train) [28][1120/1879] lr: 1.0000e-02 eta: 2 days, 3:04:17 time: 0.4262 data_time: 0.0175 memory: 17087 grad_norm: 4.7230 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7587 loss: 1.7587 2022/08/03 15:25:57 - mmengine - INFO - Epoch(train) [28][1140/1879] lr: 1.0000e-02 eta: 2 days, 3:04:08 time: 0.4215 data_time: 0.0136 memory: 17087 grad_norm: 4.8898 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7892 loss: 1.7892 2022/08/03 15:26:06 - mmengine - INFO - Epoch(train) [28][1160/1879] lr: 1.0000e-02 eta: 2 days, 3:04:01 time: 0.4390 data_time: 0.0167 memory: 17087 grad_norm: 4.7471 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6746 loss: 1.6746 2022/08/03 15:26:14 - mmengine - INFO - Epoch(train) [28][1180/1879] lr: 1.0000e-02 eta: 2 days, 3:03:52 time: 0.4247 data_time: 0.0173 memory: 17087 grad_norm: 4.7756 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7912 loss: 1.7912 2022/08/03 15:26:23 - mmengine - INFO - Epoch(train) [28][1200/1879] lr: 1.0000e-02 eta: 2 days, 3:03:47 time: 0.4508 data_time: 0.0159 memory: 17087 grad_norm: 4.6656 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6578 loss: 1.6578 2022/08/03 15:26:32 - mmengine - INFO - Epoch(train) [28][1220/1879] lr: 1.0000e-02 eta: 2 days, 3:03:39 time: 0.4333 data_time: 0.0216 memory: 17087 grad_norm: 4.8161 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.7796 loss: 1.7796 2022/08/03 15:26:41 - mmengine - INFO - Epoch(train) [28][1240/1879] lr: 1.0000e-02 eta: 2 days, 3:03:34 time: 0.4477 data_time: 0.0184 memory: 17087 grad_norm: 4.6537 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5716 loss: 1.5716 2022/08/03 15:26:49 - mmengine - INFO - Epoch(train) [28][1260/1879] lr: 1.0000e-02 eta: 2 days, 3:03:24 time: 0.4224 data_time: 0.0135 memory: 17087 grad_norm: 4.7468 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8207 loss: 1.8207 2022/08/03 15:26:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:26:58 - mmengine - INFO - Epoch(train) [28][1280/1879] lr: 1.0000e-02 eta: 2 days, 3:03:15 time: 0.4289 data_time: 0.0195 memory: 17087 grad_norm: 4.6693 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8832 loss: 1.8832 2022/08/03 15:27:07 - mmengine - INFO - Epoch(train) [28][1300/1879] lr: 1.0000e-02 eta: 2 days, 3:03:10 time: 0.4482 data_time: 0.0148 memory: 17087 grad_norm: 4.7629 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5043 loss: 1.5043 2022/08/03 15:27:16 - mmengine - INFO - Epoch(train) [28][1320/1879] lr: 1.0000e-02 eta: 2 days, 3:03:01 time: 0.4266 data_time: 0.0162 memory: 17087 grad_norm: 4.8385 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8771 loss: 1.8771 2022/08/03 15:27:24 - mmengine - INFO - Epoch(train) [28][1340/1879] lr: 1.0000e-02 eta: 2 days, 3:02:53 time: 0.4320 data_time: 0.0213 memory: 17087 grad_norm: 4.8230 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6552 loss: 1.6552 2022/08/03 15:27:33 - mmengine - INFO - Epoch(train) [28][1360/1879] lr: 1.0000e-02 eta: 2 days, 3:02:45 time: 0.4270 data_time: 0.0175 memory: 17087 grad_norm: 4.8634 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7922 loss: 1.7922 2022/08/03 15:27:41 - mmengine - INFO - Epoch(train) [28][1380/1879] lr: 1.0000e-02 eta: 2 days, 3:02:36 time: 0.4291 data_time: 0.0148 memory: 17087 grad_norm: 4.7520 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6090 loss: 1.6090 2022/08/03 15:27:50 - mmengine - INFO - Epoch(train) [28][1400/1879] lr: 1.0000e-02 eta: 2 days, 3:02:27 time: 0.4262 data_time: 0.0165 memory: 17087 grad_norm: 4.8207 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7531 loss: 1.7531 2022/08/03 15:27:58 - mmengine - INFO - Epoch(train) [28][1420/1879] lr: 1.0000e-02 eta: 2 days, 3:02:18 time: 0.4236 data_time: 0.0133 memory: 17087 grad_norm: 4.8269 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7984 loss: 1.7984 2022/08/03 15:28:07 - mmengine - INFO - Epoch(train) [28][1440/1879] lr: 1.0000e-02 eta: 2 days, 3:02:13 time: 0.4517 data_time: 0.0165 memory: 17087 grad_norm: 4.7279 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7560 loss: 1.7560 2022/08/03 15:28:16 - mmengine - INFO - Epoch(train) [28][1460/1879] lr: 1.0000e-02 eta: 2 days, 3:02:03 time: 0.4223 data_time: 0.0126 memory: 17087 grad_norm: 4.7395 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6853 loss: 1.6853 2022/08/03 15:28:25 - mmengine - INFO - Epoch(train) [28][1480/1879] lr: 1.0000e-02 eta: 2 days, 3:01:58 time: 0.4500 data_time: 0.0170 memory: 17087 grad_norm: 4.6931 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5032 loss: 1.5032 2022/08/03 15:28:33 - mmengine - INFO - Epoch(train) [28][1500/1879] lr: 1.0000e-02 eta: 2 days, 3:01:50 time: 0.4301 data_time: 0.0144 memory: 17087 grad_norm: 4.8116 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9065 loss: 1.9065 2022/08/03 15:28:42 - mmengine - INFO - Epoch(train) [28][1520/1879] lr: 1.0000e-02 eta: 2 days, 3:01:43 time: 0.4399 data_time: 0.0148 memory: 17087 grad_norm: 4.8045 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8334 loss: 1.8334 2022/08/03 15:28:51 - mmengine - INFO - Epoch(train) [28][1540/1879] lr: 1.0000e-02 eta: 2 days, 3:01:35 time: 0.4264 data_time: 0.0190 memory: 17087 grad_norm: 4.7343 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6408 loss: 1.6408 2022/08/03 15:28:59 - mmengine - INFO - Epoch(train) [28][1560/1879] lr: 1.0000e-02 eta: 2 days, 3:01:25 time: 0.4248 data_time: 0.0153 memory: 17087 grad_norm: 4.6396 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6469 loss: 1.6469 2022/08/03 15:29:08 - mmengine - INFO - Epoch(train) [28][1580/1879] lr: 1.0000e-02 eta: 2 days, 3:01:17 time: 0.4271 data_time: 0.0139 memory: 17087 grad_norm: 4.7379 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9146 loss: 1.9146 2022/08/03 15:29:16 - mmengine - INFO - Epoch(train) [28][1600/1879] lr: 1.0000e-02 eta: 2 days, 3:01:08 time: 0.4258 data_time: 0.0156 memory: 17087 grad_norm: 4.7588 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6907 loss: 1.6907 2022/08/03 15:29:25 - mmengine - INFO - Epoch(train) [28][1620/1879] lr: 1.0000e-02 eta: 2 days, 3:00:59 time: 0.4268 data_time: 0.0138 memory: 17087 grad_norm: 4.7178 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8372 loss: 1.8372 2022/08/03 15:29:33 - mmengine - INFO - Epoch(train) [28][1640/1879] lr: 1.0000e-02 eta: 2 days, 3:00:50 time: 0.4275 data_time: 0.0171 memory: 17087 grad_norm: 4.9208 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9199 loss: 1.9199 2022/08/03 15:29:42 - mmengine - INFO - Epoch(train) [28][1660/1879] lr: 1.0000e-02 eta: 2 days, 3:00:45 time: 0.4493 data_time: 0.0143 memory: 17087 grad_norm: 4.8311 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7311 loss: 1.7311 2022/08/03 15:29:51 - mmengine - INFO - Epoch(train) [28][1680/1879] lr: 1.0000e-02 eta: 2 days, 3:00:37 time: 0.4304 data_time: 0.0167 memory: 17087 grad_norm: 4.8103 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5997 loss: 1.5997 2022/08/03 15:29:59 - mmengine - INFO - Epoch(train) [28][1700/1879] lr: 1.0000e-02 eta: 2 days, 3:00:27 time: 0.4239 data_time: 0.0155 memory: 17087 grad_norm: 4.8802 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8055 loss: 1.8055 2022/08/03 15:30:08 - mmengine - INFO - Epoch(train) [28][1720/1879] lr: 1.0000e-02 eta: 2 days, 3:00:19 time: 0.4271 data_time: 0.0165 memory: 17087 grad_norm: 4.8407 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9370 loss: 1.9370 2022/08/03 15:30:16 - mmengine - INFO - Epoch(train) [28][1740/1879] lr: 1.0000e-02 eta: 2 days, 3:00:09 time: 0.4226 data_time: 0.0156 memory: 17087 grad_norm: 4.7386 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8263 loss: 1.8263 2022/08/03 15:30:25 - mmengine - INFO - Epoch(train) [28][1760/1879] lr: 1.0000e-02 eta: 2 days, 3:00:01 time: 0.4291 data_time: 0.0169 memory: 17087 grad_norm: 4.7583 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8634 loss: 1.8634 2022/08/03 15:30:33 - mmengine - INFO - Epoch(train) [28][1780/1879] lr: 1.0000e-02 eta: 2 days, 2:59:51 time: 0.4246 data_time: 0.0140 memory: 17087 grad_norm: 4.8772 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7192 loss: 1.7192 2022/08/03 15:30:42 - mmengine - INFO - Epoch(train) [28][1800/1879] lr: 1.0000e-02 eta: 2 days, 2:59:44 time: 0.4366 data_time: 0.0148 memory: 17087 grad_norm: 4.8300 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8398 loss: 1.8398 2022/08/03 15:30:51 - mmengine - INFO - Epoch(train) [28][1820/1879] lr: 1.0000e-02 eta: 2 days, 2:59:36 time: 0.4304 data_time: 0.0133 memory: 17087 grad_norm: 4.9131 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7002 loss: 1.7002 2022/08/03 15:30:59 - mmengine - INFO - Epoch(train) [28][1840/1879] lr: 1.0000e-02 eta: 2 days, 2:59:27 time: 0.4241 data_time: 0.0146 memory: 17087 grad_norm: 4.6663 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6850 loss: 1.6850 2022/08/03 15:31:08 - mmengine - INFO - Epoch(train) [28][1860/1879] lr: 1.0000e-02 eta: 2 days, 2:59:18 time: 0.4256 data_time: 0.0141 memory: 17087 grad_norm: 4.8244 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6082 loss: 1.6082 2022/08/03 15:31:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:31:16 - mmengine - INFO - Epoch(train) [28][1879/1879] lr: 1.0000e-02 eta: 2 days, 2:59:18 time: 0.4232 data_time: 0.0347 memory: 17087 grad_norm: 4.7492 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.5611 loss: 1.5611 2022/08/03 15:31:16 - mmengine - INFO - Saving checkpoint at 28 epochs 2022/08/03 15:31:29 - mmengine - INFO - Epoch(train) [29][20/1879] lr: 1.0000e-02 eta: 2 days, 2:58:08 time: 0.5088 data_time: 0.1032 memory: 17087 grad_norm: 4.7873 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6173 loss: 1.6173 2022/08/03 15:31:38 - mmengine - INFO - Epoch(train) [29][40/1879] lr: 1.0000e-02 eta: 2 days, 2:58:01 time: 0.4383 data_time: 0.0190 memory: 17087 grad_norm: 4.7201 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7899 loss: 1.7899 2022/08/03 15:31:46 - mmengine - INFO - Epoch(train) [29][60/1879] lr: 1.0000e-02 eta: 2 days, 2:57:52 time: 0.4257 data_time: 0.0140 memory: 17087 grad_norm: 4.6362 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6036 loss: 1.6036 2022/08/03 15:31:56 - mmengine - INFO - Epoch(train) [29][80/1879] lr: 1.0000e-02 eta: 2 days, 2:57:47 time: 0.4522 data_time: 0.0219 memory: 17087 grad_norm: 4.6640 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7918 loss: 1.7918 2022/08/03 15:32:04 - mmengine - INFO - Epoch(train) [29][100/1879] lr: 1.0000e-02 eta: 2 days, 2:57:38 time: 0.4241 data_time: 0.0164 memory: 17087 grad_norm: 4.7857 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8476 loss: 1.8476 2022/08/03 15:32:13 - mmengine - INFO - Epoch(train) [29][120/1879] lr: 1.0000e-02 eta: 2 days, 2:57:33 time: 0.4536 data_time: 0.0174 memory: 17087 grad_norm: 4.9024 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7157 loss: 1.7157 2022/08/03 15:32:22 - mmengine - INFO - Epoch(train) [29][140/1879] lr: 1.0000e-02 eta: 2 days, 2:57:24 time: 0.4251 data_time: 0.0150 memory: 17087 grad_norm: 4.7465 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6775 loss: 1.6775 2022/08/03 15:32:31 - mmengine - INFO - Epoch(train) [29][160/1879] lr: 1.0000e-02 eta: 2 days, 2:57:19 time: 0.4518 data_time: 0.0172 memory: 17087 grad_norm: 4.7533 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7239 loss: 1.7239 2022/08/03 15:32:39 - mmengine - INFO - Epoch(train) [29][180/1879] lr: 1.0000e-02 eta: 2 days, 2:57:10 time: 0.4223 data_time: 0.0146 memory: 17087 grad_norm: 4.7481 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 1.8102 loss: 1.8102 2022/08/03 15:32:48 - mmengine - INFO - Epoch(train) [29][200/1879] lr: 1.0000e-02 eta: 2 days, 2:57:01 time: 0.4262 data_time: 0.0151 memory: 17087 grad_norm: 4.7495 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6847 loss: 1.6847 2022/08/03 15:32:57 - mmengine - INFO - Epoch(train) [29][220/1879] lr: 1.0000e-02 eta: 2 days, 2:56:57 time: 0.4545 data_time: 0.0144 memory: 17087 grad_norm: 4.7662 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6737 loss: 1.6737 2022/08/03 15:33:05 - mmengine - INFO - Epoch(train) [29][240/1879] lr: 1.0000e-02 eta: 2 days, 2:56:48 time: 0.4260 data_time: 0.0163 memory: 17087 grad_norm: 4.7188 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8332 loss: 1.8332 2022/08/03 15:33:14 - mmengine - INFO - Epoch(train) [29][260/1879] lr: 1.0000e-02 eta: 2 days, 2:56:39 time: 0.4300 data_time: 0.0152 memory: 17087 grad_norm: 4.9820 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8595 loss: 1.8595 2022/08/03 15:33:22 - mmengine - INFO - Epoch(train) [29][280/1879] lr: 1.0000e-02 eta: 2 days, 2:56:30 time: 0.4240 data_time: 0.0149 memory: 17087 grad_norm: 4.7802 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8235 loss: 1.8235 2022/08/03 15:33:31 - mmengine - INFO - Epoch(train) [29][300/1879] lr: 1.0000e-02 eta: 2 days, 2:56:21 time: 0.4250 data_time: 0.0152 memory: 17087 grad_norm: 4.7924 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7315 loss: 1.7315 2022/08/03 15:33:39 - mmengine - INFO - Epoch(train) [29][320/1879] lr: 1.0000e-02 eta: 2 days, 2:56:12 time: 0.4249 data_time: 0.0155 memory: 17087 grad_norm: 4.7171 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5301 loss: 1.5301 2022/08/03 15:33:48 - mmengine - INFO - Epoch(train) [29][340/1879] lr: 1.0000e-02 eta: 2 days, 2:56:04 time: 0.4332 data_time: 0.0149 memory: 17087 grad_norm: 4.7054 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7425 loss: 1.7425 2022/08/03 15:33:56 - mmengine - INFO - Epoch(train) [29][360/1879] lr: 1.0000e-02 eta: 2 days, 2:55:55 time: 0.4252 data_time: 0.0159 memory: 17087 grad_norm: 4.8011 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6755 loss: 1.6755 2022/08/03 15:34:06 - mmengine - INFO - Epoch(train) [29][380/1879] lr: 1.0000e-02 eta: 2 days, 2:55:51 time: 0.4592 data_time: 0.0141 memory: 17087 grad_norm: 4.6840 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6939 loss: 1.6939 2022/08/03 15:34:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:34:14 - mmengine - INFO - Epoch(train) [29][400/1879] lr: 1.0000e-02 eta: 2 days, 2:55:43 time: 0.4282 data_time: 0.0183 memory: 17087 grad_norm: 4.9283 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0137 loss: 2.0137 2022/08/03 15:34:23 - mmengine - INFO - Epoch(train) [29][420/1879] lr: 1.0000e-02 eta: 2 days, 2:55:36 time: 0.4383 data_time: 0.0150 memory: 17087 grad_norm: 4.6706 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6422 loss: 1.6422 2022/08/03 15:34:32 - mmengine - INFO - Epoch(train) [29][440/1879] lr: 1.0000e-02 eta: 2 days, 2:55:27 time: 0.4258 data_time: 0.0160 memory: 17087 grad_norm: 4.9138 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8653 loss: 1.8653 2022/08/03 15:34:40 - mmengine - INFO - Epoch(train) [29][460/1879] lr: 1.0000e-02 eta: 2 days, 2:55:21 time: 0.4424 data_time: 0.0157 memory: 17087 grad_norm: 4.7487 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8011 loss: 1.8011 2022/08/03 15:34:49 - mmengine - INFO - Epoch(train) [29][480/1879] lr: 1.0000e-02 eta: 2 days, 2:55:11 time: 0.4237 data_time: 0.0148 memory: 17087 grad_norm: 4.6715 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6897 loss: 1.6897 2022/08/03 15:34:57 - mmengine - INFO - Epoch(train) [29][500/1879] lr: 1.0000e-02 eta: 2 days, 2:55:03 time: 0.4286 data_time: 0.0156 memory: 17087 grad_norm: 4.9108 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9054 loss: 1.9054 2022/08/03 15:35:06 - mmengine - INFO - Epoch(train) [29][520/1879] lr: 1.0000e-02 eta: 2 days, 2:54:54 time: 0.4247 data_time: 0.0158 memory: 17087 grad_norm: 4.7990 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7486 loss: 1.7486 2022/08/03 15:35:15 - mmengine - INFO - Epoch(train) [29][540/1879] lr: 1.0000e-02 eta: 2 days, 2:54:50 time: 0.4560 data_time: 0.0171 memory: 17087 grad_norm: 4.8206 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8778 loss: 1.8778 2022/08/03 15:35:24 - mmengine - INFO - Epoch(train) [29][560/1879] lr: 1.0000e-02 eta: 2 days, 2:54:40 time: 0.4253 data_time: 0.0177 memory: 17087 grad_norm: 4.6953 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7298 loss: 1.7298 2022/08/03 15:35:33 - mmengine - INFO - Epoch(train) [29][580/1879] lr: 1.0000e-02 eta: 2 days, 2:54:36 time: 0.4521 data_time: 0.0245 memory: 17087 grad_norm: 4.7811 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6452 loss: 1.6452 2022/08/03 15:35:41 - mmengine - INFO - Epoch(train) [29][600/1879] lr: 1.0000e-02 eta: 2 days, 2:54:27 time: 0.4253 data_time: 0.0153 memory: 17087 grad_norm: 4.8404 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7385 loss: 1.7385 2022/08/03 15:35:50 - mmengine - INFO - Epoch(train) [29][620/1879] lr: 1.0000e-02 eta: 2 days, 2:54:18 time: 0.4248 data_time: 0.0135 memory: 17087 grad_norm: 4.8687 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8006 loss: 1.8006 2022/08/03 15:35:58 - mmengine - INFO - Epoch(train) [29][640/1879] lr: 1.0000e-02 eta: 2 days, 2:54:11 time: 0.4424 data_time: 0.0321 memory: 17087 grad_norm: 4.8226 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8991 loss: 1.8991 2022/08/03 15:36:07 - mmengine - INFO - Epoch(train) [29][660/1879] lr: 1.0000e-02 eta: 2 days, 2:54:02 time: 0.4249 data_time: 0.0145 memory: 17087 grad_norm: 4.7779 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7592 loss: 1.7592 2022/08/03 15:36:16 - mmengine - INFO - Epoch(train) [29][680/1879] lr: 1.0000e-02 eta: 2 days, 2:53:53 time: 0.4281 data_time: 0.0178 memory: 17087 grad_norm: 4.8643 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8164 loss: 1.8164 2022/08/03 15:36:24 - mmengine - INFO - Epoch(train) [29][700/1879] lr: 1.0000e-02 eta: 2 days, 2:53:44 time: 0.4248 data_time: 0.0155 memory: 17087 grad_norm: 4.7873 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7131 loss: 1.7131 2022/08/03 15:36:33 - mmengine - INFO - Epoch(train) [29][720/1879] lr: 1.0000e-02 eta: 2 days, 2:53:35 time: 0.4266 data_time: 0.0180 memory: 17087 grad_norm: 4.8508 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7749 loss: 1.7749 2022/08/03 15:36:41 - mmengine - INFO - Epoch(train) [29][740/1879] lr: 1.0000e-02 eta: 2 days, 2:53:26 time: 0.4243 data_time: 0.0156 memory: 17087 grad_norm: 4.8432 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6620 loss: 1.6620 2022/08/03 15:36:50 - mmengine - INFO - Epoch(train) [29][760/1879] lr: 1.0000e-02 eta: 2 days, 2:53:17 time: 0.4249 data_time: 0.0157 memory: 17087 grad_norm: 4.8598 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8018 loss: 1.8018 2022/08/03 15:36:59 - mmengine - INFO - Epoch(train) [29][780/1879] lr: 1.0000e-02 eta: 2 days, 2:53:11 time: 0.4468 data_time: 0.0150 memory: 17087 grad_norm: 4.7702 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8311 loss: 1.8311 2022/08/03 15:37:07 - mmengine - INFO - Epoch(train) [29][800/1879] lr: 1.0000e-02 eta: 2 days, 2:53:03 time: 0.4306 data_time: 0.0212 memory: 17087 grad_norm: 4.8072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9035 loss: 1.9035 2022/08/03 15:37:16 - mmengine - INFO - Epoch(train) [29][820/1879] lr: 1.0000e-02 eta: 2 days, 2:52:55 time: 0.4312 data_time: 0.0138 memory: 17087 grad_norm: 4.7430 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6855 loss: 1.6855 2022/08/03 15:37:24 - mmengine - INFO - Epoch(train) [29][840/1879] lr: 1.0000e-02 eta: 2 days, 2:52:47 time: 0.4285 data_time: 0.0174 memory: 17087 grad_norm: 4.7477 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6468 loss: 1.6468 2022/08/03 15:37:33 - mmengine - INFO - Epoch(train) [29][860/1879] lr: 1.0000e-02 eta: 2 days, 2:52:38 time: 0.4270 data_time: 0.0153 memory: 17087 grad_norm: 4.8884 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.7482 loss: 1.7482 2022/08/03 15:37:41 - mmengine - INFO - Epoch(train) [29][880/1879] lr: 1.0000e-02 eta: 2 days, 2:52:29 time: 0.4256 data_time: 0.0164 memory: 17087 grad_norm: 4.7535 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7438 loss: 1.7438 2022/08/03 15:37:50 - mmengine - INFO - Epoch(train) [29][900/1879] lr: 1.0000e-02 eta: 2 days, 2:52:20 time: 0.4270 data_time: 0.0147 memory: 17087 grad_norm: 4.6580 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6232 loss: 1.6232 2022/08/03 15:37:58 - mmengine - INFO - Epoch(train) [29][920/1879] lr: 1.0000e-02 eta: 2 days, 2:52:11 time: 0.4256 data_time: 0.0175 memory: 17087 grad_norm: 4.7300 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8268 loss: 1.8268 2022/08/03 15:38:07 - mmengine - INFO - Epoch(train) [29][940/1879] lr: 1.0000e-02 eta: 2 days, 2:52:02 time: 0.4278 data_time: 0.0138 memory: 17087 grad_norm: 4.8740 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9418 loss: 1.9418 2022/08/03 15:38:16 - mmengine - INFO - Epoch(train) [29][960/1879] lr: 1.0000e-02 eta: 2 days, 2:51:54 time: 0.4272 data_time: 0.0154 memory: 17087 grad_norm: 4.8060 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8339 loss: 1.8339 2022/08/03 15:38:24 - mmengine - INFO - Epoch(train) [29][980/1879] lr: 1.0000e-02 eta: 2 days, 2:51:45 time: 0.4264 data_time: 0.0172 memory: 17087 grad_norm: 4.9632 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5022 loss: 1.5022 2022/08/03 15:38:33 - mmengine - INFO - Epoch(train) [29][1000/1879] lr: 1.0000e-02 eta: 2 days, 2:51:36 time: 0.4248 data_time: 0.0154 memory: 17087 grad_norm: 4.8580 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8689 loss: 1.8689 2022/08/03 15:38:41 - mmengine - INFO - Epoch(train) [29][1020/1879] lr: 1.0000e-02 eta: 2 days, 2:51:27 time: 0.4283 data_time: 0.0146 memory: 17087 grad_norm: 4.8207 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0262 loss: 2.0262 2022/08/03 15:38:50 - mmengine - INFO - Epoch(train) [29][1040/1879] lr: 1.0000e-02 eta: 2 days, 2:51:18 time: 0.4242 data_time: 0.0157 memory: 17087 grad_norm: 4.6893 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7850 loss: 1.7850 2022/08/03 15:38:58 - mmengine - INFO - Epoch(train) [29][1060/1879] lr: 1.0000e-02 eta: 2 days, 2:51:09 time: 0.4250 data_time: 0.0152 memory: 17087 grad_norm: 4.6717 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8342 loss: 1.8342 2022/08/03 15:39:07 - mmengine - INFO - Epoch(train) [29][1080/1879] lr: 1.0000e-02 eta: 2 days, 2:51:01 time: 0.4353 data_time: 0.0167 memory: 17087 grad_norm: 4.7798 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8188 loss: 1.8188 2022/08/03 15:39:16 - mmengine - INFO - Epoch(train) [29][1100/1879] lr: 1.0000e-02 eta: 2 days, 2:50:55 time: 0.4432 data_time: 0.0194 memory: 17087 grad_norm: 4.7303 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7609 loss: 1.7609 2022/08/03 15:39:25 - mmengine - INFO - Epoch(train) [29][1120/1879] lr: 1.0000e-02 eta: 2 days, 2:50:49 time: 0.4424 data_time: 0.0181 memory: 17087 grad_norm: 4.7222 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7153 loss: 1.7153 2022/08/03 15:39:33 - mmengine - INFO - Epoch(train) [29][1140/1879] lr: 1.0000e-02 eta: 2 days, 2:50:39 time: 0.4244 data_time: 0.0164 memory: 17087 grad_norm: 4.5890 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6583 loss: 1.6583 2022/08/03 15:39:42 - mmengine - INFO - Epoch(train) [29][1160/1879] lr: 1.0000e-02 eta: 2 days, 2:50:31 time: 0.4319 data_time: 0.0167 memory: 17087 grad_norm: 4.6396 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9498 loss: 1.9498 2022/08/03 15:39:50 - mmengine - INFO - Epoch(train) [29][1180/1879] lr: 1.0000e-02 eta: 2 days, 2:50:22 time: 0.4245 data_time: 0.0137 memory: 17087 grad_norm: 4.7376 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0200 loss: 2.0200 2022/08/03 15:39:59 - mmengine - INFO - Epoch(train) [29][1200/1879] lr: 1.0000e-02 eta: 2 days, 2:50:13 time: 0.4256 data_time: 0.0155 memory: 17087 grad_norm: 4.8387 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7723 loss: 1.7723 2022/08/03 15:40:08 - mmengine - INFO - Epoch(train) [29][1220/1879] lr: 1.0000e-02 eta: 2 days, 2:50:11 time: 0.4681 data_time: 0.0145 memory: 17087 grad_norm: 4.8367 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8627 loss: 1.8627 2022/08/03 15:40:17 - mmengine - INFO - Epoch(train) [29][1240/1879] lr: 1.0000e-02 eta: 2 days, 2:50:03 time: 0.4327 data_time: 0.0156 memory: 17087 grad_norm: 4.7591 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6888 loss: 1.6888 2022/08/03 15:40:25 - mmengine - INFO - Epoch(train) [29][1260/1879] lr: 1.0000e-02 eta: 2 days, 2:49:54 time: 0.4243 data_time: 0.0142 memory: 17087 grad_norm: 4.8628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9389 loss: 1.9389 2022/08/03 15:40:34 - mmengine - INFO - Epoch(train) [29][1280/1879] lr: 1.0000e-02 eta: 2 days, 2:49:45 time: 0.4258 data_time: 0.0167 memory: 17087 grad_norm: 4.7152 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5572 loss: 1.5572 2022/08/03 15:40:42 - mmengine - INFO - Epoch(train) [29][1300/1879] lr: 1.0000e-02 eta: 2 days, 2:49:36 time: 0.4277 data_time: 0.0146 memory: 17087 grad_norm: 4.7773 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8981 loss: 1.8981 2022/08/03 15:40:51 - mmengine - INFO - Epoch(train) [29][1320/1879] lr: 1.0000e-02 eta: 2 days, 2:49:27 time: 0.4244 data_time: 0.0152 memory: 17087 grad_norm: 4.8335 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8377 loss: 1.8377 2022/08/03 15:40:59 - mmengine - INFO - Epoch(train) [29][1340/1879] lr: 1.0000e-02 eta: 2 days, 2:49:18 time: 0.4251 data_time: 0.0128 memory: 17087 grad_norm: 4.8025 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5783 loss: 1.5783 2022/08/03 15:41:08 - mmengine - INFO - Epoch(train) [29][1360/1879] lr: 1.0000e-02 eta: 2 days, 2:49:09 time: 0.4280 data_time: 0.0167 memory: 17087 grad_norm: 4.8760 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8012 loss: 1.8012 2022/08/03 15:41:16 - mmengine - INFO - Epoch(train) [29][1380/1879] lr: 1.0000e-02 eta: 2 days, 2:49:00 time: 0.4263 data_time: 0.0152 memory: 17087 grad_norm: 4.7181 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8836 loss: 1.8836 2022/08/03 15:41:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:41:25 - mmengine - INFO - Epoch(train) [29][1400/1879] lr: 1.0000e-02 eta: 2 days, 2:48:51 time: 0.4262 data_time: 0.0159 memory: 17087 grad_norm: 4.8347 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7998 loss: 1.7998 2022/08/03 15:41:34 - mmengine - INFO - Epoch(train) [29][1420/1879] lr: 1.0000e-02 eta: 2 days, 2:48:43 time: 0.4271 data_time: 0.0159 memory: 17087 grad_norm: 4.8101 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6595 loss: 1.6595 2022/08/03 15:41:42 - mmengine - INFO - Epoch(train) [29][1440/1879] lr: 1.0000e-02 eta: 2 days, 2:48:34 time: 0.4261 data_time: 0.0160 memory: 17087 grad_norm: 4.8955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6632 loss: 1.6632 2022/08/03 15:41:50 - mmengine - INFO - Epoch(train) [29][1460/1879] lr: 1.0000e-02 eta: 2 days, 2:48:24 time: 0.4221 data_time: 0.0134 memory: 17087 grad_norm: 4.8351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6631 loss: 1.6631 2022/08/03 15:41:59 - mmengine - INFO - Epoch(train) [29][1480/1879] lr: 1.0000e-02 eta: 2 days, 2:48:16 time: 0.4291 data_time: 0.0166 memory: 17087 grad_norm: 4.7502 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.6392 loss: 1.6392 2022/08/03 15:42:08 - mmengine - INFO - Epoch(train) [29][1500/1879] lr: 1.0000e-02 eta: 2 days, 2:48:07 time: 0.4262 data_time: 0.0141 memory: 17087 grad_norm: 4.9487 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8741 loss: 1.8741 2022/08/03 15:42:16 - mmengine - INFO - Epoch(train) [29][1520/1879] lr: 1.0000e-02 eta: 2 days, 2:47:58 time: 0.4273 data_time: 0.0172 memory: 17087 grad_norm: 4.9195 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7007 loss: 1.7007 2022/08/03 15:42:25 - mmengine - INFO - Epoch(train) [29][1540/1879] lr: 1.0000e-02 eta: 2 days, 2:47:49 time: 0.4275 data_time: 0.0160 memory: 17087 grad_norm: 4.7188 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7152 loss: 1.7152 2022/08/03 15:42:33 - mmengine - INFO - Epoch(train) [29][1560/1879] lr: 1.0000e-02 eta: 2 days, 2:47:41 time: 0.4284 data_time: 0.0177 memory: 17087 grad_norm: 4.6789 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8265 loss: 1.8265 2022/08/03 15:42:42 - mmengine - INFO - Epoch(train) [29][1580/1879] lr: 1.0000e-02 eta: 2 days, 2:47:32 time: 0.4261 data_time: 0.0143 memory: 17087 grad_norm: 4.7622 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7273 loss: 1.7273 2022/08/03 15:42:50 - mmengine - INFO - Epoch(train) [29][1600/1879] lr: 1.0000e-02 eta: 2 days, 2:47:22 time: 0.4223 data_time: 0.0145 memory: 17087 grad_norm: 4.7545 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7309 loss: 1.7309 2022/08/03 15:42:59 - mmengine - INFO - Epoch(train) [29][1620/1879] lr: 1.0000e-02 eta: 2 days, 2:47:14 time: 0.4304 data_time: 0.0153 memory: 17087 grad_norm: 4.7863 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7985 loss: 1.7985 2022/08/03 15:43:07 - mmengine - INFO - Epoch(train) [29][1640/1879] lr: 1.0000e-02 eta: 2 days, 2:47:05 time: 0.4272 data_time: 0.0153 memory: 17087 grad_norm: 4.8971 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0040 loss: 2.0040 2022/08/03 15:43:16 - mmengine - INFO - Epoch(train) [29][1660/1879] lr: 1.0000e-02 eta: 2 days, 2:47:00 time: 0.4509 data_time: 0.0176 memory: 17087 grad_norm: 4.7563 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8076 loss: 1.8076 2022/08/03 15:43:25 - mmengine - INFO - Epoch(train) [29][1680/1879] lr: 1.0000e-02 eta: 2 days, 2:46:52 time: 0.4276 data_time: 0.0161 memory: 17087 grad_norm: 4.7854 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6865 loss: 1.6865 2022/08/03 15:43:34 - mmengine - INFO - Epoch(train) [29][1700/1879] lr: 1.0000e-02 eta: 2 days, 2:46:43 time: 0.4265 data_time: 0.0178 memory: 17087 grad_norm: 4.7930 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6739 loss: 1.6739 2022/08/03 15:43:42 - mmengine - INFO - Epoch(train) [29][1720/1879] lr: 1.0000e-02 eta: 2 days, 2:46:33 time: 0.4236 data_time: 0.0157 memory: 17087 grad_norm: 4.7523 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7237 loss: 1.7237 2022/08/03 15:43:50 - mmengine - INFO - Epoch(train) [29][1740/1879] lr: 1.0000e-02 eta: 2 days, 2:46:24 time: 0.4234 data_time: 0.0150 memory: 17087 grad_norm: 4.9058 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6043 loss: 1.6043 2022/08/03 15:43:59 - mmengine - INFO - Epoch(train) [29][1760/1879] lr: 1.0000e-02 eta: 2 days, 2:46:16 time: 0.4296 data_time: 0.0165 memory: 17087 grad_norm: 4.6661 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8733 loss: 1.8733 2022/08/03 15:44:08 - mmengine - INFO - Epoch(train) [29][1780/1879] lr: 1.0000e-02 eta: 2 days, 2:46:07 time: 0.4247 data_time: 0.0142 memory: 17087 grad_norm: 4.8753 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6558 loss: 1.6558 2022/08/03 15:44:16 - mmengine - INFO - Epoch(train) [29][1800/1879] lr: 1.0000e-02 eta: 2 days, 2:46:00 time: 0.4438 data_time: 0.0169 memory: 17087 grad_norm: 4.6724 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6167 loss: 1.6167 2022/08/03 15:44:25 - mmengine - INFO - Epoch(train) [29][1820/1879] lr: 1.0000e-02 eta: 2 days, 2:45:52 time: 0.4264 data_time: 0.0137 memory: 17087 grad_norm: 4.7672 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9361 loss: 1.9361 2022/08/03 15:44:34 - mmengine - INFO - Epoch(train) [29][1840/1879] lr: 1.0000e-02 eta: 2 days, 2:45:48 time: 0.4627 data_time: 0.0148 memory: 17087 grad_norm: 4.8051 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5575 loss: 1.5575 2022/08/03 15:44:43 - mmengine - INFO - Epoch(train) [29][1860/1879] lr: 1.0000e-02 eta: 2 days, 2:45:39 time: 0.4231 data_time: 0.0134 memory: 17087 grad_norm: 4.6883 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4882 loss: 1.4882 2022/08/03 15:44:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:44:50 - mmengine - INFO - Epoch(train) [29][1879/1879] lr: 1.0000e-02 eta: 2 days, 2:45:39 time: 0.4078 data_time: 0.0185 memory: 17087 grad_norm: 4.9826 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.8259 loss: 1.8259 2022/08/03 15:45:02 - mmengine - INFO - Epoch(train) [30][20/1879] lr: 1.0000e-02 eta: 2 days, 2:44:40 time: 0.5657 data_time: 0.1361 memory: 17087 grad_norm: 4.9079 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6387 loss: 1.6387 2022/08/03 15:45:10 - mmengine - INFO - Epoch(train) [30][40/1879] lr: 1.0000e-02 eta: 2 days, 2:44:31 time: 0.4230 data_time: 0.0159 memory: 17087 grad_norm: 4.8761 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8255 loss: 1.8255 2022/08/03 15:45:19 - mmengine - INFO - Epoch(train) [30][60/1879] lr: 1.0000e-02 eta: 2 days, 2:44:23 time: 0.4317 data_time: 0.0189 memory: 17087 grad_norm: 4.8526 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5524 loss: 1.5524 2022/08/03 15:45:27 - mmengine - INFO - Epoch(train) [30][80/1879] lr: 1.0000e-02 eta: 2 days, 2:44:14 time: 0.4264 data_time: 0.0178 memory: 17087 grad_norm: 4.8854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7886 loss: 1.7886 2022/08/03 15:45:36 - mmengine - INFO - Epoch(train) [30][100/1879] lr: 1.0000e-02 eta: 2 days, 2:44:08 time: 0.4463 data_time: 0.0139 memory: 17087 grad_norm: 4.6959 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8096 loss: 1.8096 2022/08/03 15:45:45 - mmengine - INFO - Epoch(train) [30][120/1879] lr: 1.0000e-02 eta: 2 days, 2:44:01 time: 0.4378 data_time: 0.0163 memory: 17087 grad_norm: 4.7517 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9141 loss: 1.9141 2022/08/03 15:45:54 - mmengine - INFO - Epoch(train) [30][140/1879] lr: 1.0000e-02 eta: 2 days, 2:43:55 time: 0.4471 data_time: 0.0127 memory: 17087 grad_norm: 4.8954 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8801 loss: 1.8801 2022/08/03 15:46:03 - mmengine - INFO - Epoch(train) [30][160/1879] lr: 1.0000e-02 eta: 2 days, 2:43:47 time: 0.4298 data_time: 0.0216 memory: 17087 grad_norm: 4.8568 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6667 loss: 1.6667 2022/08/03 15:46:11 - mmengine - INFO - Epoch(train) [30][180/1879] lr: 1.0000e-02 eta: 2 days, 2:43:38 time: 0.4263 data_time: 0.0134 memory: 17087 grad_norm: 4.7461 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6428 loss: 1.6428 2022/08/03 15:46:20 - mmengine - INFO - Epoch(train) [30][200/1879] lr: 1.0000e-02 eta: 2 days, 2:43:32 time: 0.4423 data_time: 0.0157 memory: 17087 grad_norm: 4.8558 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6578 loss: 1.6578 2022/08/03 15:46:29 - mmengine - INFO - Epoch(train) [30][220/1879] lr: 1.0000e-02 eta: 2 days, 2:43:23 time: 0.4268 data_time: 0.0190 memory: 17087 grad_norm: 4.8166 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5933 loss: 1.5933 2022/08/03 15:46:38 - mmengine - INFO - Epoch(train) [30][240/1879] lr: 1.0000e-02 eta: 2 days, 2:43:17 time: 0.4466 data_time: 0.0149 memory: 17087 grad_norm: 4.6947 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6359 loss: 1.6359 2022/08/03 15:46:46 - mmengine - INFO - Epoch(train) [30][260/1879] lr: 1.0000e-02 eta: 2 days, 2:43:08 time: 0.4279 data_time: 0.0179 memory: 17087 grad_norm: 4.7749 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6816 loss: 1.6816 2022/08/03 15:46:55 - mmengine - INFO - Epoch(train) [30][280/1879] lr: 1.0000e-02 eta: 2 days, 2:43:00 time: 0.4317 data_time: 0.0160 memory: 17087 grad_norm: 4.6912 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7145 loss: 1.7145 2022/08/03 15:47:03 - mmengine - INFO - Epoch(train) [30][300/1879] lr: 1.0000e-02 eta: 2 days, 2:42:51 time: 0.4250 data_time: 0.0144 memory: 17087 grad_norm: 4.8885 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7240 loss: 1.7240 2022/08/03 15:47:12 - mmengine - INFO - Epoch(train) [30][320/1879] lr: 1.0000e-02 eta: 2 days, 2:42:44 time: 0.4335 data_time: 0.0168 memory: 17087 grad_norm: 4.7019 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6467 loss: 1.6467 2022/08/03 15:47:20 - mmengine - INFO - Epoch(train) [30][340/1879] lr: 1.0000e-02 eta: 2 days, 2:42:34 time: 0.4244 data_time: 0.0154 memory: 17087 grad_norm: 4.7623 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8482 loss: 1.8482 2022/08/03 15:47:29 - mmengine - INFO - Epoch(train) [30][360/1879] lr: 1.0000e-02 eta: 2 days, 2:42:25 time: 0.4247 data_time: 0.0170 memory: 17087 grad_norm: 4.8446 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6633 loss: 1.6633 2022/08/03 15:47:38 - mmengine - INFO - Epoch(train) [30][380/1879] lr: 1.0000e-02 eta: 2 days, 2:42:19 time: 0.4422 data_time: 0.0127 memory: 17087 grad_norm: 4.7508 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6111 loss: 1.6111 2022/08/03 15:47:46 - mmengine - INFO - Epoch(train) [30][400/1879] lr: 1.0000e-02 eta: 2 days, 2:42:11 time: 0.4308 data_time: 0.0209 memory: 17087 grad_norm: 4.8460 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8684 loss: 1.8684 2022/08/03 15:47:55 - mmengine - INFO - Epoch(train) [30][420/1879] lr: 1.0000e-02 eta: 2 days, 2:42:03 time: 0.4310 data_time: 0.0128 memory: 17087 grad_norm: 4.7585 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6696 loss: 1.6696 2022/08/03 15:48:04 - mmengine - INFO - Epoch(train) [30][440/1879] lr: 1.0000e-02 eta: 2 days, 2:41:54 time: 0.4265 data_time: 0.0173 memory: 17087 grad_norm: 4.9116 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8470 loss: 1.8470 2022/08/03 15:48:12 - mmengine - INFO - Epoch(train) [30][460/1879] lr: 1.0000e-02 eta: 2 days, 2:41:45 time: 0.4256 data_time: 0.0124 memory: 17087 grad_norm: 4.7417 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7543 loss: 1.7543 2022/08/03 15:48:21 - mmengine - INFO - Epoch(train) [30][480/1879] lr: 1.0000e-02 eta: 2 days, 2:41:36 time: 0.4252 data_time: 0.0161 memory: 17087 grad_norm: 4.8095 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8094 loss: 1.8094 2022/08/03 15:48:29 - mmengine - INFO - Epoch(train) [30][500/1879] lr: 1.0000e-02 eta: 2 days, 2:41:27 time: 0.4254 data_time: 0.0149 memory: 17087 grad_norm: 4.7950 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8447 loss: 1.8447 2022/08/03 15:48:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:48:38 - mmengine - INFO - Epoch(train) [30][520/1879] lr: 1.0000e-02 eta: 2 days, 2:41:18 time: 0.4294 data_time: 0.0167 memory: 17087 grad_norm: 4.8084 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7860 loss: 1.7860 2022/08/03 15:48:46 - mmengine - INFO - Epoch(train) [30][540/1879] lr: 1.0000e-02 eta: 2 days, 2:41:09 time: 0.4239 data_time: 0.0145 memory: 17087 grad_norm: 4.8966 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7299 loss: 1.7299 2022/08/03 15:48:55 - mmengine - INFO - Epoch(train) [30][560/1879] lr: 1.0000e-02 eta: 2 days, 2:41:02 time: 0.4374 data_time: 0.0167 memory: 17087 grad_norm: 4.9214 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7743 loss: 1.7743 2022/08/03 15:49:03 - mmengine - INFO - Epoch(train) [30][580/1879] lr: 1.0000e-02 eta: 2 days, 2:40:52 time: 0.4228 data_time: 0.0143 memory: 17087 grad_norm: 4.9353 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8785 loss: 1.8785 2022/08/03 15:49:12 - mmengine - INFO - Epoch(train) [30][600/1879] lr: 1.0000e-02 eta: 2 days, 2:40:46 time: 0.4439 data_time: 0.0182 memory: 17087 grad_norm: 4.8098 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6941 loss: 1.6941 2022/08/03 15:49:21 - mmengine - INFO - Epoch(train) [30][620/1879] lr: 1.0000e-02 eta: 2 days, 2:40:37 time: 0.4225 data_time: 0.0122 memory: 17087 grad_norm: 4.8332 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8557 loss: 1.8557 2022/08/03 15:49:29 - mmengine - INFO - Epoch(train) [30][640/1879] lr: 1.0000e-02 eta: 2 days, 2:40:27 time: 0.4236 data_time: 0.0156 memory: 17087 grad_norm: 4.9006 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9523 loss: 1.9523 2022/08/03 15:49:38 - mmengine - INFO - Epoch(train) [30][660/1879] lr: 1.0000e-02 eta: 2 days, 2:40:19 time: 0.4301 data_time: 0.0152 memory: 17087 grad_norm: 4.7685 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9287 loss: 1.9287 2022/08/03 15:49:46 - mmengine - INFO - Epoch(train) [30][680/1879] lr: 1.0000e-02 eta: 2 days, 2:40:10 time: 0.4278 data_time: 0.0162 memory: 17087 grad_norm: 4.8429 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7517 loss: 1.7517 2022/08/03 15:49:55 - mmengine - INFO - Epoch(train) [30][700/1879] lr: 1.0000e-02 eta: 2 days, 2:40:05 time: 0.4489 data_time: 0.0161 memory: 17087 grad_norm: 4.8087 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6794 loss: 1.6794 2022/08/03 15:50:04 - mmengine - INFO - Epoch(train) [30][720/1879] lr: 1.0000e-02 eta: 2 days, 2:39:56 time: 0.4267 data_time: 0.0172 memory: 17087 grad_norm: 4.7542 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5479 loss: 1.5479 2022/08/03 15:50:13 - mmengine - INFO - Epoch(train) [30][740/1879] lr: 1.0000e-02 eta: 2 days, 2:39:50 time: 0.4465 data_time: 0.0145 memory: 17087 grad_norm: 4.8333 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5802 loss: 1.5802 2022/08/03 15:50:21 - mmengine - INFO - Epoch(train) [30][760/1879] lr: 1.0000e-02 eta: 2 days, 2:39:42 time: 0.4277 data_time: 0.0169 memory: 17087 grad_norm: 4.7687 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6836 loss: 1.6836 2022/08/03 15:50:30 - mmengine - INFO - Epoch(train) [30][780/1879] lr: 1.0000e-02 eta: 2 days, 2:39:33 time: 0.4263 data_time: 0.0178 memory: 17087 grad_norm: 4.8752 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6789 loss: 1.6789 2022/08/03 15:50:38 - mmengine - INFO - Epoch(train) [30][800/1879] lr: 1.0000e-02 eta: 2 days, 2:39:25 time: 0.4302 data_time: 0.0187 memory: 17087 grad_norm: 4.8012 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9235 loss: 1.9235 2022/08/03 15:50:47 - mmengine - INFO - Epoch(train) [30][820/1879] lr: 1.0000e-02 eta: 2 days, 2:39:16 time: 0.4262 data_time: 0.0132 memory: 17087 grad_norm: 4.8310 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7944 loss: 1.7944 2022/08/03 15:50:56 - mmengine - INFO - Epoch(train) [30][840/1879] lr: 1.0000e-02 eta: 2 days, 2:39:07 time: 0.4303 data_time: 0.0183 memory: 17087 grad_norm: 4.8482 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8503 loss: 1.8503 2022/08/03 15:51:04 - mmengine - INFO - Epoch(train) [30][860/1879] lr: 1.0000e-02 eta: 2 days, 2:38:58 time: 0.4237 data_time: 0.0143 memory: 17087 grad_norm: 4.7149 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6777 loss: 1.6777 2022/08/03 15:51:13 - mmengine - INFO - Epoch(train) [30][880/1879] lr: 1.0000e-02 eta: 2 days, 2:38:53 time: 0.4478 data_time: 0.0179 memory: 17087 grad_norm: 4.7973 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7953 loss: 1.7953 2022/08/03 15:51:21 - mmengine - INFO - Epoch(train) [30][900/1879] lr: 1.0000e-02 eta: 2 days, 2:38:43 time: 0.4217 data_time: 0.0146 memory: 17087 grad_norm: 4.7804 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8302 loss: 1.8302 2022/08/03 15:51:30 - mmengine - INFO - Epoch(train) [30][920/1879] lr: 1.0000e-02 eta: 2 days, 2:38:35 time: 0.4303 data_time: 0.0214 memory: 17087 grad_norm: 4.8747 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8503 loss: 1.8503 2022/08/03 15:51:39 - mmengine - INFO - Epoch(train) [30][940/1879] lr: 1.0000e-02 eta: 2 days, 2:38:28 time: 0.4418 data_time: 0.0162 memory: 17087 grad_norm: 4.9080 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8718 loss: 1.8718 2022/08/03 15:51:48 - mmengine - INFO - Epoch(train) [30][960/1879] lr: 1.0000e-02 eta: 2 days, 2:38:20 time: 0.4308 data_time: 0.0209 memory: 17087 grad_norm: 4.9155 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9914 loss: 1.9914 2022/08/03 15:51:56 - mmengine - INFO - Epoch(train) [30][980/1879] lr: 1.0000e-02 eta: 2 days, 2:38:12 time: 0.4328 data_time: 0.0126 memory: 17087 grad_norm: 4.8222 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9651 loss: 1.9651 2022/08/03 15:52:05 - mmengine - INFO - Epoch(train) [30][1000/1879] lr: 1.0000e-02 eta: 2 days, 2:38:04 time: 0.4286 data_time: 0.0170 memory: 17087 grad_norm: 4.8462 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8216 loss: 1.8216 2022/08/03 15:52:13 - mmengine - INFO - Epoch(train) [30][1020/1879] lr: 1.0000e-02 eta: 2 days, 2:37:55 time: 0.4253 data_time: 0.0139 memory: 17087 grad_norm: 4.7743 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9527 loss: 1.9527 2022/08/03 15:52:22 - mmengine - INFO - Epoch(train) [30][1040/1879] lr: 1.0000e-02 eta: 2 days, 2:37:45 time: 0.4247 data_time: 0.0152 memory: 17087 grad_norm: 4.8843 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8454 loss: 1.8454 2022/08/03 15:52:30 - mmengine - INFO - Epoch(train) [30][1060/1879] lr: 1.0000e-02 eta: 2 days, 2:37:36 time: 0.4236 data_time: 0.0139 memory: 17087 grad_norm: 4.8779 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5348 loss: 1.5348 2022/08/03 15:52:39 - mmengine - INFO - Epoch(train) [30][1080/1879] lr: 1.0000e-02 eta: 2 days, 2:37:28 time: 0.4282 data_time: 0.0166 memory: 17087 grad_norm: 4.8851 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7276 loss: 1.7276 2022/08/03 15:52:47 - mmengine - INFO - Epoch(train) [30][1100/1879] lr: 1.0000e-02 eta: 2 days, 2:37:19 time: 0.4255 data_time: 0.0147 memory: 17087 grad_norm: 4.9391 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9163 loss: 1.9163 2022/08/03 15:52:56 - mmengine - INFO - Epoch(train) [30][1120/1879] lr: 1.0000e-02 eta: 2 days, 2:37:11 time: 0.4325 data_time: 0.0177 memory: 17087 grad_norm: 4.8230 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8839 loss: 1.8839 2022/08/03 15:53:04 - mmengine - INFO - Epoch(train) [30][1140/1879] lr: 1.0000e-02 eta: 2 days, 2:37:01 time: 0.4237 data_time: 0.0139 memory: 17087 grad_norm: 4.9506 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7338 loss: 1.7338 2022/08/03 15:53:13 - mmengine - INFO - Epoch(train) [30][1160/1879] lr: 1.0000e-02 eta: 2 days, 2:36:54 time: 0.4366 data_time: 0.0158 memory: 17087 grad_norm: 4.7864 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7980 loss: 1.7980 2022/08/03 15:53:22 - mmengine - INFO - Epoch(train) [30][1180/1879] lr: 1.0000e-02 eta: 2 days, 2:36:45 time: 0.4217 data_time: 0.0133 memory: 17087 grad_norm: 4.8069 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8497 loss: 1.8497 2022/08/03 15:53:30 - mmengine - INFO - Epoch(train) [30][1200/1879] lr: 1.0000e-02 eta: 2 days, 2:36:36 time: 0.4300 data_time: 0.0191 memory: 17087 grad_norm: 4.7397 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7591 loss: 1.7591 2022/08/03 15:53:39 - mmengine - INFO - Epoch(train) [30][1220/1879] lr: 1.0000e-02 eta: 2 days, 2:36:29 time: 0.4396 data_time: 0.0145 memory: 17087 grad_norm: 4.7465 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8151 loss: 1.8151 2022/08/03 15:53:48 - mmengine - INFO - Epoch(train) [30][1240/1879] lr: 1.0000e-02 eta: 2 days, 2:36:21 time: 0.4308 data_time: 0.0155 memory: 17087 grad_norm: 4.8401 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6927 loss: 1.6927 2022/08/03 15:53:56 - mmengine - INFO - Epoch(train) [30][1260/1879] lr: 1.0000e-02 eta: 2 days, 2:36:13 time: 0.4286 data_time: 0.0155 memory: 17087 grad_norm: 4.8044 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7730 loss: 1.7730 2022/08/03 15:54:05 - mmengine - INFO - Epoch(train) [30][1280/1879] lr: 1.0000e-02 eta: 2 days, 2:36:04 time: 0.4267 data_time: 0.0154 memory: 17087 grad_norm: 4.8613 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7015 loss: 1.7015 2022/08/03 15:54:13 - mmengine - INFO - Epoch(train) [30][1300/1879] lr: 1.0000e-02 eta: 2 days, 2:35:55 time: 0.4256 data_time: 0.0152 memory: 17087 grad_norm: 4.8458 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8398 loss: 1.8398 2022/08/03 15:54:22 - mmengine - INFO - Epoch(train) [30][1320/1879] lr: 1.0000e-02 eta: 2 days, 2:35:46 time: 0.4261 data_time: 0.0172 memory: 17087 grad_norm: 4.8580 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4651 loss: 1.4651 2022/08/03 15:54:30 - mmengine - INFO - Epoch(train) [30][1340/1879] lr: 1.0000e-02 eta: 2 days, 2:35:37 time: 0.4236 data_time: 0.0135 memory: 17087 grad_norm: 4.8969 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7716 loss: 1.7716 2022/08/03 15:54:39 - mmengine - INFO - Epoch(train) [30][1360/1879] lr: 1.0000e-02 eta: 2 days, 2:35:28 time: 0.4302 data_time: 0.0167 memory: 17087 grad_norm: 4.8491 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8276 loss: 1.8276 2022/08/03 15:54:47 - mmengine - INFO - Epoch(train) [30][1380/1879] lr: 1.0000e-02 eta: 2 days, 2:35:19 time: 0.4235 data_time: 0.0135 memory: 17087 grad_norm: 4.7510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6280 loss: 1.6280 2022/08/03 15:54:56 - mmengine - INFO - Epoch(train) [30][1400/1879] lr: 1.0000e-02 eta: 2 days, 2:35:10 time: 0.4279 data_time: 0.0170 memory: 17087 grad_norm: 4.9303 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8818 loss: 1.8818 2022/08/03 15:55:05 - mmengine - INFO - Epoch(train) [30][1420/1879] lr: 1.0000e-02 eta: 2 days, 2:35:01 time: 0.4262 data_time: 0.0159 memory: 17087 grad_norm: 4.7808 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7753 loss: 1.7753 2022/08/03 15:55:13 - mmengine - INFO - Epoch(train) [30][1440/1879] lr: 1.0000e-02 eta: 2 days, 2:34:53 time: 0.4319 data_time: 0.0168 memory: 17087 grad_norm: 4.7911 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7256 loss: 1.7256 2022/08/03 15:55:22 - mmengine - INFO - Epoch(train) [30][1460/1879] lr: 1.0000e-02 eta: 2 days, 2:34:44 time: 0.4226 data_time: 0.0125 memory: 17087 grad_norm: 4.9337 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.7298 loss: 1.7298 2022/08/03 15:55:30 - mmengine - INFO - Epoch(train) [30][1480/1879] lr: 1.0000e-02 eta: 2 days, 2:34:35 time: 0.4237 data_time: 0.0159 memory: 17087 grad_norm: 4.7563 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6736 loss: 1.6736 2022/08/03 15:55:39 - mmengine - INFO - Epoch(train) [30][1500/1879] lr: 1.0000e-02 eta: 2 days, 2:34:28 time: 0.4392 data_time: 0.0152 memory: 17087 grad_norm: 4.7191 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6552 loss: 1.6552 2022/08/03 15:55:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:55:47 - mmengine - INFO - Epoch(train) [30][1520/1879] lr: 1.0000e-02 eta: 2 days, 2:34:19 time: 0.4272 data_time: 0.0159 memory: 17087 grad_norm: 4.7126 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8194 loss: 1.8194 2022/08/03 15:55:56 - mmengine - INFO - Epoch(train) [30][1540/1879] lr: 1.0000e-02 eta: 2 days, 2:34:14 time: 0.4500 data_time: 0.0148 memory: 17087 grad_norm: 4.7308 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8244 loss: 1.8244 2022/08/03 15:56:05 - mmengine - INFO - Epoch(train) [30][1560/1879] lr: 1.0000e-02 eta: 2 days, 2:34:05 time: 0.4261 data_time: 0.0169 memory: 17087 grad_norm: 4.8246 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6775 loss: 1.6775 2022/08/03 15:56:13 - mmengine - INFO - Epoch(train) [30][1580/1879] lr: 1.0000e-02 eta: 2 days, 2:33:56 time: 0.4243 data_time: 0.0145 memory: 17087 grad_norm: 4.8356 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8326 loss: 1.8326 2022/08/03 15:56:22 - mmengine - INFO - Epoch(train) [30][1600/1879] lr: 1.0000e-02 eta: 2 days, 2:33:47 time: 0.4251 data_time: 0.0146 memory: 17087 grad_norm: 4.9666 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0389 loss: 2.0389 2022/08/03 15:56:30 - mmengine - INFO - Epoch(train) [30][1620/1879] lr: 1.0000e-02 eta: 2 days, 2:33:38 time: 0.4259 data_time: 0.0144 memory: 17087 grad_norm: 4.8018 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9499 loss: 1.9499 2022/08/03 15:56:39 - mmengine - INFO - Epoch(train) [30][1640/1879] lr: 1.0000e-02 eta: 2 days, 2:33:29 time: 0.4274 data_time: 0.0173 memory: 17087 grad_norm: 4.8523 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5409 loss: 1.5409 2022/08/03 15:56:48 - mmengine - INFO - Epoch(train) [30][1660/1879] lr: 1.0000e-02 eta: 2 days, 2:33:20 time: 0.4243 data_time: 0.0141 memory: 17087 grad_norm: 4.9424 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9691 loss: 1.9691 2022/08/03 15:56:56 - mmengine - INFO - Epoch(train) [30][1680/1879] lr: 1.0000e-02 eta: 2 days, 2:33:14 time: 0.4481 data_time: 0.0173 memory: 17087 grad_norm: 4.7134 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7352 loss: 1.7352 2022/08/03 15:57:05 - mmengine - INFO - Epoch(train) [30][1700/1879] lr: 1.0000e-02 eta: 2 days, 2:33:06 time: 0.4287 data_time: 0.0153 memory: 17087 grad_norm: 4.6849 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7338 loss: 1.7338 2022/08/03 15:57:14 - mmengine - INFO - Epoch(train) [30][1720/1879] lr: 1.0000e-02 eta: 2 days, 2:32:57 time: 0.4245 data_time: 0.0142 memory: 17087 grad_norm: 4.7204 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6793 loss: 1.6793 2022/08/03 15:57:22 - mmengine - INFO - Epoch(train) [30][1740/1879] lr: 1.0000e-02 eta: 2 days, 2:32:47 time: 0.4226 data_time: 0.0156 memory: 17087 grad_norm: 4.8090 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8939 loss: 1.8939 2022/08/03 15:57:30 - mmengine - INFO - Epoch(train) [30][1760/1879] lr: 1.0000e-02 eta: 2 days, 2:32:38 time: 0.4244 data_time: 0.0157 memory: 17087 grad_norm: 4.7022 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8205 loss: 1.8205 2022/08/03 15:57:39 - mmengine - INFO - Epoch(train) [30][1780/1879] lr: 1.0000e-02 eta: 2 days, 2:32:32 time: 0.4457 data_time: 0.0156 memory: 17087 grad_norm: 4.7377 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.7661 loss: 1.7661 2022/08/03 15:57:48 - mmengine - INFO - Epoch(train) [30][1800/1879] lr: 1.0000e-02 eta: 2 days, 2:32:23 time: 0.4276 data_time: 0.0155 memory: 17087 grad_norm: 4.8626 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6575 loss: 1.6575 2022/08/03 15:57:57 - mmengine - INFO - Epoch(train) [30][1820/1879] lr: 1.0000e-02 eta: 2 days, 2:32:15 time: 0.4334 data_time: 0.0151 memory: 17087 grad_norm: 4.8291 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7045 loss: 1.7045 2022/08/03 15:58:05 - mmengine - INFO - Epoch(train) [30][1840/1879] lr: 1.0000e-02 eta: 2 days, 2:32:07 time: 0.4258 data_time: 0.0164 memory: 17087 grad_norm: 4.8461 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8298 loss: 1.8298 2022/08/03 15:58:14 - mmengine - INFO - Epoch(train) [30][1860/1879] lr: 1.0000e-02 eta: 2 days, 2:31:57 time: 0.4251 data_time: 0.0155 memory: 17087 grad_norm: 4.9406 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8211 loss: 1.8211 2022/08/03 15:58:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:58:21 - mmengine - INFO - Epoch(train) [30][1879/1879] lr: 1.0000e-02 eta: 2 days, 2:31:57 time: 0.4046 data_time: 0.0136 memory: 17087 grad_norm: 4.9476 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.8291 loss: 1.8291 2022/08/03 15:58:29 - mmengine - INFO - Epoch(val) [30][20/155] eta: 0:00:49 time: 0.3652 data_time: 0.1963 memory: 2821 2022/08/03 15:58:33 - mmengine - INFO - Epoch(val) [30][40/155] eta: 0:00:27 time: 0.2409 data_time: 0.0724 memory: 2821 2022/08/03 15:58:40 - mmengine - INFO - Epoch(val) [30][60/155] eta: 0:00:29 time: 0.3094 data_time: 0.1429 memory: 2821 2022/08/03 15:58:45 - mmengine - INFO - Epoch(val) [30][80/155] eta: 0:00:20 time: 0.2764 data_time: 0.1035 memory: 2821 2022/08/03 15:58:51 - mmengine - INFO - Epoch(val) [30][100/155] eta: 0:00:16 time: 0.3079 data_time: 0.1403 memory: 2821 2022/08/03 15:58:57 - mmengine - INFO - Epoch(val) [30][120/155] eta: 0:00:09 time: 0.2829 data_time: 0.1151 memory: 2821 2022/08/03 15:59:04 - mmengine - INFO - Epoch(val) [30][140/155] eta: 0:00:04 time: 0.3303 data_time: 0.1602 memory: 2821 2022/08/03 15:59:08 - mmengine - INFO - Epoch(val) [30][155/155] acc/top1: 0.6431 acc/top5: 0.8530 acc/mean1: 0.6429 2022/08/03 15:59:09 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/best_acc/top1_epoch_26.pth is removed 2022/08/03 15:59:11 - mmengine - INFO - The best checkpoint with 0.6431 acc/top1 at 31 epoch is saved to best_acc/top1_epoch_31.pth. 2022/08/03 15:59:21 - mmengine - INFO - Epoch(train) [31][20/1879] lr: 1.0000e-02 eta: 2 days, 2:30:53 time: 0.5161 data_time: 0.1064 memory: 17087 grad_norm: 4.6827 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6337 loss: 1.6337 2022/08/03 15:59:30 - mmengine - INFO - Epoch(train) [31][40/1879] lr: 1.0000e-02 eta: 2 days, 2:30:45 time: 0.4357 data_time: 0.0162 memory: 17087 grad_norm: 4.8410 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6078 loss: 1.6078 2022/08/03 15:59:39 - mmengine - INFO - Epoch(train) [31][60/1879] lr: 1.0000e-02 eta: 2 days, 2:30:37 time: 0.4282 data_time: 0.0139 memory: 17087 grad_norm: 4.9801 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7463 loss: 1.7463 2022/08/03 15:59:47 - mmengine - INFO - Epoch(train) [31][80/1879] lr: 1.0000e-02 eta: 2 days, 2:30:29 time: 0.4346 data_time: 0.0159 memory: 17087 grad_norm: 4.7917 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6943 loss: 1.6943 2022/08/03 15:59:56 - mmengine - INFO - Epoch(train) [31][100/1879] lr: 1.0000e-02 eta: 2 days, 2:30:20 time: 0.4279 data_time: 0.0157 memory: 17087 grad_norm: 4.9660 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8457 loss: 1.8457 2022/08/03 16:00:04 - mmengine - INFO - Epoch(train) [31][120/1879] lr: 1.0000e-02 eta: 2 days, 2:30:12 time: 0.4285 data_time: 0.0163 memory: 17087 grad_norm: 4.9202 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5790 loss: 1.5790 2022/08/03 16:00:13 - mmengine - INFO - Epoch(train) [31][140/1879] lr: 1.0000e-02 eta: 2 days, 2:30:03 time: 0.4266 data_time: 0.0147 memory: 17087 grad_norm: 4.8075 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8117 loss: 1.8117 2022/08/03 16:00:21 - mmengine - INFO - Epoch(train) [31][160/1879] lr: 1.0000e-02 eta: 2 days, 2:29:54 time: 0.4249 data_time: 0.0151 memory: 17087 grad_norm: 4.7862 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6225 loss: 1.6225 2022/08/03 16:00:30 - mmengine - INFO - Epoch(train) [31][180/1879] lr: 1.0000e-02 eta: 2 days, 2:29:47 time: 0.4404 data_time: 0.0142 memory: 17087 grad_norm: 4.6743 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6923 loss: 1.6923 2022/08/03 16:00:39 - mmengine - INFO - Epoch(train) [31][200/1879] lr: 1.0000e-02 eta: 2 days, 2:29:39 time: 0.4286 data_time: 0.0155 memory: 17087 grad_norm: 4.9691 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7018 loss: 1.7018 2022/08/03 16:00:47 - mmengine - INFO - Epoch(train) [31][220/1879] lr: 1.0000e-02 eta: 2 days, 2:29:30 time: 0.4281 data_time: 0.0165 memory: 17087 grad_norm: 4.7462 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6605 loss: 1.6605 2022/08/03 16:00:56 - mmengine - INFO - Epoch(train) [31][240/1879] lr: 1.0000e-02 eta: 2 days, 2:29:23 time: 0.4354 data_time: 0.0158 memory: 17087 grad_norm: 4.9029 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9639 loss: 1.9639 2022/08/03 16:01:05 - mmengine - INFO - Epoch(train) [31][260/1879] lr: 1.0000e-02 eta: 2 days, 2:29:14 time: 0.4284 data_time: 0.0138 memory: 17087 grad_norm: 4.8128 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8263 loss: 1.8263 2022/08/03 16:01:13 - mmengine - INFO - Epoch(train) [31][280/1879] lr: 1.0000e-02 eta: 2 days, 2:29:05 time: 0.4267 data_time: 0.0170 memory: 17087 grad_norm: 4.8301 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8807 loss: 1.8807 2022/08/03 16:01:22 - mmengine - INFO - Epoch(train) [31][300/1879] lr: 1.0000e-02 eta: 2 days, 2:28:56 time: 0.4239 data_time: 0.0139 memory: 17087 grad_norm: 4.8792 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8146 loss: 1.8146 2022/08/03 16:01:31 - mmengine - INFO - Epoch(train) [31][320/1879] lr: 1.0000e-02 eta: 2 days, 2:28:50 time: 0.4480 data_time: 0.0164 memory: 17087 grad_norm: 4.8270 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5589 loss: 1.5589 2022/08/03 16:01:39 - mmengine - INFO - Epoch(train) [31][340/1879] lr: 1.0000e-02 eta: 2 days, 2:28:42 time: 0.4276 data_time: 0.0153 memory: 17087 grad_norm: 4.9803 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6912 loss: 1.6912 2022/08/03 16:01:48 - mmengine - INFO - Epoch(train) [31][360/1879] lr: 1.0000e-02 eta: 2 days, 2:28:35 time: 0.4409 data_time: 0.0160 memory: 17087 grad_norm: 5.0597 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7285 loss: 1.7285 2022/08/03 16:01:57 - mmengine - INFO - Epoch(train) [31][380/1879] lr: 1.0000e-02 eta: 2 days, 2:28:26 time: 0.4233 data_time: 0.0138 memory: 17087 grad_norm: 4.7710 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7811 loss: 1.7811 2022/08/03 16:02:05 - mmengine - INFO - Epoch(train) [31][400/1879] lr: 1.0000e-02 eta: 2 days, 2:28:18 time: 0.4323 data_time: 0.0157 memory: 17087 grad_norm: 4.8124 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7508 loss: 1.7508 2022/08/03 16:02:14 - mmengine - INFO - Epoch(train) [31][420/1879] lr: 1.0000e-02 eta: 2 days, 2:28:09 time: 0.4252 data_time: 0.0143 memory: 17087 grad_norm: 4.8855 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8463 loss: 1.8463 2022/08/03 16:02:22 - mmengine - INFO - Epoch(train) [31][440/1879] lr: 1.0000e-02 eta: 2 days, 2:28:00 time: 0.4262 data_time: 0.0150 memory: 17087 grad_norm: 4.8988 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6422 loss: 1.6422 2022/08/03 16:02:31 - mmengine - INFO - Epoch(train) [31][460/1879] lr: 1.0000e-02 eta: 2 days, 2:27:55 time: 0.4509 data_time: 0.0152 memory: 17087 grad_norm: 4.7681 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6698 loss: 1.6698 2022/08/03 16:02:40 - mmengine - INFO - Epoch(train) [31][480/1879] lr: 1.0000e-02 eta: 2 days, 2:27:46 time: 0.4264 data_time: 0.0153 memory: 17087 grad_norm: 4.8820 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6664 loss: 1.6664 2022/08/03 16:02:49 - mmengine - INFO - Epoch(train) [31][500/1879] lr: 1.0000e-02 eta: 2 days, 2:27:41 time: 0.4523 data_time: 0.0159 memory: 17087 grad_norm: 4.7812 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7190 loss: 1.7190 2022/08/03 16:02:57 - mmengine - INFO - Epoch(train) [31][520/1879] lr: 1.0000e-02 eta: 2 days, 2:27:32 time: 0.4252 data_time: 0.0154 memory: 17087 grad_norm: 4.7202 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6331 loss: 1.6331 2022/08/03 16:03:06 - mmengine - INFO - Epoch(train) [31][540/1879] lr: 1.0000e-02 eta: 2 days, 2:27:24 time: 0.4331 data_time: 0.0158 memory: 17087 grad_norm: 4.8680 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5297 loss: 1.5297 2022/08/03 16:03:14 - mmengine - INFO - Epoch(train) [31][560/1879] lr: 1.0000e-02 eta: 2 days, 2:27:15 time: 0.4247 data_time: 0.0157 memory: 17087 grad_norm: 4.8767 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6740 loss: 1.6740 2022/08/03 16:03:24 - mmengine - INFO - Epoch(train) [31][580/1879] lr: 1.0000e-02 eta: 2 days, 2:27:10 time: 0.4516 data_time: 0.0142 memory: 17087 grad_norm: 4.8361 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7141 loss: 1.7141 2022/08/03 16:03:32 - mmengine - INFO - Epoch(train) [31][600/1879] lr: 1.0000e-02 eta: 2 days, 2:27:01 time: 0.4250 data_time: 0.0147 memory: 17087 grad_norm: 4.7890 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6897 loss: 1.6897 2022/08/03 16:03:41 - mmengine - INFO - Epoch(train) [31][620/1879] lr: 1.0000e-02 eta: 2 days, 2:26:52 time: 0.4240 data_time: 0.0149 memory: 17087 grad_norm: 4.8504 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5532 loss: 1.5532 2022/08/03 16:03:45 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:03:49 - mmengine - INFO - Epoch(train) [31][640/1879] lr: 1.0000e-02 eta: 2 days, 2:26:43 time: 0.4312 data_time: 0.0202 memory: 17087 grad_norm: 4.6395 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5765 loss: 1.5765 2022/08/03 16:03:58 - mmengine - INFO - Epoch(train) [31][660/1879] lr: 1.0000e-02 eta: 2 days, 2:26:34 time: 0.4232 data_time: 0.0136 memory: 17087 grad_norm: 4.6908 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5380 loss: 1.5380 2022/08/03 16:04:06 - mmengine - INFO - Epoch(train) [31][680/1879] lr: 1.0000e-02 eta: 2 days, 2:26:27 time: 0.4389 data_time: 0.0164 memory: 17087 grad_norm: 4.6647 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7133 loss: 1.7133 2022/08/03 16:04:15 - mmengine - INFO - Epoch(train) [31][700/1879] lr: 1.0000e-02 eta: 2 days, 2:26:18 time: 0.4251 data_time: 0.0160 memory: 17087 grad_norm: 4.8095 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6803 loss: 1.6803 2022/08/03 16:04:24 - mmengine - INFO - Epoch(train) [31][720/1879] lr: 1.0000e-02 eta: 2 days, 2:26:10 time: 0.4299 data_time: 0.0173 memory: 17087 grad_norm: 4.8304 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8101 loss: 1.8101 2022/08/03 16:04:32 - mmengine - INFO - Epoch(train) [31][740/1879] lr: 1.0000e-02 eta: 2 days, 2:26:00 time: 0.4223 data_time: 0.0134 memory: 17087 grad_norm: 4.8294 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8578 loss: 1.8578 2022/08/03 16:04:41 - mmengine - INFO - Epoch(train) [31][760/1879] lr: 1.0000e-02 eta: 2 days, 2:25:52 time: 0.4283 data_time: 0.0187 memory: 17087 grad_norm: 4.8354 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.5818 loss: 1.5818 2022/08/03 16:04:49 - mmengine - INFO - Epoch(train) [31][780/1879] lr: 1.0000e-02 eta: 2 days, 2:25:43 time: 0.4270 data_time: 0.0137 memory: 17087 grad_norm: 4.6463 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7402 loss: 1.7402 2022/08/03 16:04:58 - mmengine - INFO - Epoch(train) [31][800/1879] lr: 1.0000e-02 eta: 2 days, 2:25:34 time: 0.4254 data_time: 0.0170 memory: 17087 grad_norm: 4.7366 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5562 loss: 1.5562 2022/08/03 16:05:06 - mmengine - INFO - Epoch(train) [31][820/1879] lr: 1.0000e-02 eta: 2 days, 2:25:27 time: 0.4371 data_time: 0.0142 memory: 17087 grad_norm: 4.8734 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.7385 loss: 1.7385 2022/08/03 16:05:15 - mmengine - INFO - Epoch(train) [31][840/1879] lr: 1.0000e-02 eta: 2 days, 2:25:18 time: 0.4247 data_time: 0.0152 memory: 17087 grad_norm: 4.8741 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8598 loss: 1.8598 2022/08/03 16:05:24 - mmengine - INFO - Epoch(train) [31][860/1879] lr: 1.0000e-02 eta: 2 days, 2:25:10 time: 0.4374 data_time: 0.0168 memory: 17087 grad_norm: 4.8993 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8272 loss: 1.8272 2022/08/03 16:05:32 - mmengine - INFO - Epoch(train) [31][880/1879] lr: 1.0000e-02 eta: 2 days, 2:25:02 time: 0.4263 data_time: 0.0162 memory: 17087 grad_norm: 4.8509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6794 loss: 1.6794 2022/08/03 16:05:41 - mmengine - INFO - Epoch(train) [31][900/1879] lr: 1.0000e-02 eta: 2 days, 2:24:52 time: 0.4243 data_time: 0.0150 memory: 17087 grad_norm: 4.8088 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7122 loss: 1.7122 2022/08/03 16:05:50 - mmengine - INFO - Epoch(train) [31][920/1879] lr: 1.0000e-02 eta: 2 days, 2:24:47 time: 0.4501 data_time: 0.0182 memory: 17087 grad_norm: 4.6656 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6131 loss: 1.6131 2022/08/03 16:05:58 - mmengine - INFO - Epoch(train) [31][940/1879] lr: 1.0000e-02 eta: 2 days, 2:24:39 time: 0.4293 data_time: 0.0159 memory: 17087 grad_norm: 4.7884 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7458 loss: 1.7458 2022/08/03 16:06:07 - mmengine - INFO - Epoch(train) [31][960/1879] lr: 1.0000e-02 eta: 2 days, 2:24:30 time: 0.4245 data_time: 0.0146 memory: 17087 grad_norm: 4.9384 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9495 loss: 1.9495 2022/08/03 16:06:16 - mmengine - INFO - Epoch(train) [31][980/1879] lr: 1.0000e-02 eta: 2 days, 2:24:24 time: 0.4477 data_time: 0.0161 memory: 17087 grad_norm: 4.8593 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8856 loss: 1.8856 2022/08/03 16:06:24 - mmengine - INFO - Epoch(train) [31][1000/1879] lr: 1.0000e-02 eta: 2 days, 2:24:15 time: 0.4289 data_time: 0.0203 memory: 17087 grad_norm: 4.6794 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3050 loss: 1.3050 2022/08/03 16:06:33 - mmengine - INFO - Epoch(train) [31][1020/1879] lr: 1.0000e-02 eta: 2 days, 2:24:06 time: 0.4225 data_time: 0.0139 memory: 17087 grad_norm: 4.7454 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6475 loss: 1.6475 2022/08/03 16:06:41 - mmengine - INFO - Epoch(train) [31][1040/1879] lr: 1.0000e-02 eta: 2 days, 2:23:59 time: 0.4386 data_time: 0.0149 memory: 17087 grad_norm: 4.8439 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7172 loss: 1.7172 2022/08/03 16:06:50 - mmengine - INFO - Epoch(train) [31][1060/1879] lr: 1.0000e-02 eta: 2 days, 2:23:50 time: 0.4240 data_time: 0.0137 memory: 17087 grad_norm: 4.8287 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8495 loss: 1.8495 2022/08/03 16:06:59 - mmengine - INFO - Epoch(train) [31][1080/1879] lr: 1.0000e-02 eta: 2 days, 2:23:44 time: 0.4467 data_time: 0.0158 memory: 17087 grad_norm: 4.7962 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6242 loss: 1.6242 2022/08/03 16:07:07 - mmengine - INFO - Epoch(train) [31][1100/1879] lr: 1.0000e-02 eta: 2 days, 2:23:35 time: 0.4287 data_time: 0.0184 memory: 17087 grad_norm: 4.7554 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8021 loss: 1.8021 2022/08/03 16:07:16 - mmengine - INFO - Epoch(train) [31][1120/1879] lr: 1.0000e-02 eta: 2 days, 2:23:28 time: 0.4334 data_time: 0.0172 memory: 17087 grad_norm: 4.8152 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6523 loss: 1.6523 2022/08/03 16:07:25 - mmengine - INFO - Epoch(train) [31][1140/1879] lr: 1.0000e-02 eta: 2 days, 2:23:18 time: 0.4221 data_time: 0.0156 memory: 17087 grad_norm: 4.8311 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8721 loss: 1.8721 2022/08/03 16:07:33 - mmengine - INFO - Epoch(train) [31][1160/1879] lr: 1.0000e-02 eta: 2 days, 2:23:10 time: 0.4315 data_time: 0.0176 memory: 17087 grad_norm: 4.9076 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9261 loss: 1.9261 2022/08/03 16:07:42 - mmengine - INFO - Epoch(train) [31][1180/1879] lr: 1.0000e-02 eta: 2 days, 2:23:02 time: 0.4308 data_time: 0.0133 memory: 17087 grad_norm: 4.8370 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7751 loss: 1.7751 2022/08/03 16:07:50 - mmengine - INFO - Epoch(train) [31][1200/1879] lr: 1.0000e-02 eta: 2 days, 2:22:54 time: 0.4329 data_time: 0.0179 memory: 17087 grad_norm: 4.8552 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8670 loss: 1.8670 2022/08/03 16:07:59 - mmengine - INFO - Epoch(train) [31][1220/1879] lr: 1.0000e-02 eta: 2 days, 2:22:46 time: 0.4300 data_time: 0.0140 memory: 17087 grad_norm: 4.7017 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7687 loss: 1.7687 2022/08/03 16:08:08 - mmengine - INFO - Epoch(train) [31][1240/1879] lr: 1.0000e-02 eta: 2 days, 2:22:37 time: 0.4301 data_time: 0.0225 memory: 17087 grad_norm: 4.6867 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8489 loss: 1.8489 2022/08/03 16:08:17 - mmengine - INFO - Epoch(train) [31][1260/1879] lr: 1.0000e-02 eta: 2 days, 2:22:31 time: 0.4442 data_time: 0.0157 memory: 17087 grad_norm: 4.8364 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8054 loss: 1.8054 2022/08/03 16:08:25 - mmengine - INFO - Epoch(train) [31][1280/1879] lr: 1.0000e-02 eta: 2 days, 2:22:23 time: 0.4317 data_time: 0.0224 memory: 17087 grad_norm: 4.7406 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7133 loss: 1.7133 2022/08/03 16:08:34 - mmengine - INFO - Epoch(train) [31][1300/1879] lr: 1.0000e-02 eta: 2 days, 2:22:15 time: 0.4324 data_time: 0.0145 memory: 17087 grad_norm: 4.7692 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6838 loss: 1.6838 2022/08/03 16:08:42 - mmengine - INFO - Epoch(train) [31][1320/1879] lr: 1.0000e-02 eta: 2 days, 2:22:06 time: 0.4236 data_time: 0.0158 memory: 17087 grad_norm: 4.7674 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8198 loss: 1.8198 2022/08/03 16:08:51 - mmengine - INFO - Epoch(train) [31][1340/1879] lr: 1.0000e-02 eta: 2 days, 2:21:57 time: 0.4274 data_time: 0.0152 memory: 17087 grad_norm: 4.8166 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6965 loss: 1.6965 2022/08/03 16:09:00 - mmengine - INFO - Epoch(train) [31][1360/1879] lr: 1.0000e-02 eta: 2 days, 2:21:50 time: 0.4422 data_time: 0.0173 memory: 17087 grad_norm: 4.7249 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6427 loss: 1.6427 2022/08/03 16:09:08 - mmengine - INFO - Epoch(train) [31][1380/1879] lr: 1.0000e-02 eta: 2 days, 2:21:41 time: 0.4226 data_time: 0.0142 memory: 17087 grad_norm: 4.9276 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9063 loss: 1.9063 2022/08/03 16:09:17 - mmengine - INFO - Epoch(train) [31][1400/1879] lr: 1.0000e-02 eta: 2 days, 2:21:35 time: 0.4440 data_time: 0.0164 memory: 17087 grad_norm: 4.8987 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8004 loss: 1.8004 2022/08/03 16:09:26 - mmengine - INFO - Epoch(train) [31][1420/1879] lr: 1.0000e-02 eta: 2 days, 2:21:26 time: 0.4287 data_time: 0.0190 memory: 17087 grad_norm: 4.8494 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8822 loss: 1.8822 2022/08/03 16:09:35 - mmengine - INFO - Epoch(train) [31][1440/1879] lr: 1.0000e-02 eta: 2 days, 2:21:21 time: 0.4499 data_time: 0.0170 memory: 17087 grad_norm: 4.8350 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8733 loss: 1.8733 2022/08/03 16:09:43 - mmengine - INFO - Epoch(train) [31][1460/1879] lr: 1.0000e-02 eta: 2 days, 2:21:12 time: 0.4232 data_time: 0.0148 memory: 17087 grad_norm: 4.8683 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8562 loss: 1.8562 2022/08/03 16:09:52 - mmengine - INFO - Epoch(train) [31][1480/1879] lr: 1.0000e-02 eta: 2 days, 2:21:03 time: 0.4289 data_time: 0.0205 memory: 17087 grad_norm: 4.8613 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9212 loss: 1.9212 2022/08/03 16:10:00 - mmengine - INFO - Epoch(train) [31][1500/1879] lr: 1.0000e-02 eta: 2 days, 2:20:55 time: 0.4339 data_time: 0.0143 memory: 17087 grad_norm: 4.7625 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6144 loss: 1.6144 2022/08/03 16:10:09 - mmengine - INFO - Epoch(train) [31][1520/1879] lr: 1.0000e-02 eta: 2 days, 2:20:47 time: 0.4293 data_time: 0.0224 memory: 17087 grad_norm: 4.7000 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9327 loss: 1.9327 2022/08/03 16:10:18 - mmengine - INFO - Epoch(train) [31][1540/1879] lr: 1.0000e-02 eta: 2 days, 2:20:41 time: 0.4475 data_time: 0.0137 memory: 17087 grad_norm: 4.6194 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6449 loss: 1.6449 2022/08/03 16:10:27 - mmengine - INFO - Epoch(train) [31][1560/1879] lr: 1.0000e-02 eta: 2 days, 2:20:32 time: 0.4271 data_time: 0.0169 memory: 17087 grad_norm: 4.8015 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6806 loss: 1.6806 2022/08/03 16:10:35 - mmengine - INFO - Epoch(train) [31][1580/1879] lr: 1.0000e-02 eta: 2 days, 2:20:26 time: 0.4415 data_time: 0.0129 memory: 17087 grad_norm: 4.8491 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6311 loss: 1.6311 2022/08/03 16:10:44 - mmengine - INFO - Epoch(train) [31][1600/1879] lr: 1.0000e-02 eta: 2 days, 2:20:19 time: 0.4390 data_time: 0.0238 memory: 17087 grad_norm: 4.7906 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7540 loss: 1.7540 2022/08/03 16:10:53 - mmengine - INFO - Epoch(train) [31][1620/1879] lr: 1.0000e-02 eta: 2 days, 2:20:09 time: 0.4213 data_time: 0.0127 memory: 17087 grad_norm: 4.8377 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6808 loss: 1.6808 2022/08/03 16:10:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:11:02 - mmengine - INFO - Epoch(train) [31][1640/1879] lr: 1.0000e-02 eta: 2 days, 2:20:04 time: 0.4499 data_time: 0.0165 memory: 17087 grad_norm: 4.8716 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7173 loss: 1.7173 2022/08/03 16:11:10 - mmengine - INFO - Epoch(train) [31][1660/1879] lr: 1.0000e-02 eta: 2 days, 2:19:56 time: 0.4321 data_time: 0.0189 memory: 17087 grad_norm: 4.6730 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6251 loss: 1.6251 2022/08/03 16:11:19 - mmengine - INFO - Epoch(train) [31][1680/1879] lr: 1.0000e-02 eta: 2 days, 2:19:47 time: 0.4252 data_time: 0.0179 memory: 17087 grad_norm: 4.7751 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8346 loss: 1.8346 2022/08/03 16:11:27 - mmengine - INFO - Epoch(train) [31][1700/1879] lr: 1.0000e-02 eta: 2 days, 2:19:38 time: 0.4277 data_time: 0.0135 memory: 17087 grad_norm: 4.7699 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6506 loss: 1.6506 2022/08/03 16:11:36 - mmengine - INFO - Epoch(train) [31][1720/1879] lr: 1.0000e-02 eta: 2 days, 2:19:29 time: 0.4267 data_time: 0.0177 memory: 17087 grad_norm: 4.7587 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8055 loss: 1.8055 2022/08/03 16:11:45 - mmengine - INFO - Epoch(train) [31][1740/1879] lr: 1.0000e-02 eta: 2 days, 2:19:22 time: 0.4368 data_time: 0.0137 memory: 17087 grad_norm: 4.7970 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6814 loss: 1.6814 2022/08/03 16:11:53 - mmengine - INFO - Epoch(train) [31][1760/1879] lr: 1.0000e-02 eta: 2 days, 2:19:13 time: 0.4272 data_time: 0.0164 memory: 17087 grad_norm: 4.9198 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7952 loss: 1.7952 2022/08/03 16:12:02 - mmengine - INFO - Epoch(train) [31][1780/1879] lr: 1.0000e-02 eta: 2 days, 2:19:04 time: 0.4275 data_time: 0.0187 memory: 17087 grad_norm: 4.8699 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7676 loss: 1.7676 2022/08/03 16:12:11 - mmengine - INFO - Epoch(train) [31][1800/1879] lr: 1.0000e-02 eta: 2 days, 2:19:00 time: 0.4562 data_time: 0.0170 memory: 17087 grad_norm: 4.8725 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8856 loss: 1.8856 2022/08/03 16:12:19 - mmengine - INFO - Epoch(train) [31][1820/1879] lr: 1.0000e-02 eta: 2 days, 2:18:50 time: 0.4202 data_time: 0.0135 memory: 17087 grad_norm: 4.7005 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8296 loss: 1.8296 2022/08/03 16:12:28 - mmengine - INFO - Epoch(train) [31][1840/1879] lr: 1.0000e-02 eta: 2 days, 2:18:42 time: 0.4333 data_time: 0.0162 memory: 17087 grad_norm: 4.6661 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7104 loss: 1.7104 2022/08/03 16:12:36 - mmengine - INFO - Epoch(train) [31][1860/1879] lr: 1.0000e-02 eta: 2 days, 2:18:33 time: 0.4231 data_time: 0.0144 memory: 17087 grad_norm: 4.7298 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6649 loss: 1.6649 2022/08/03 16:12:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:12:44 - mmengine - INFO - Epoch(train) [31][1879/1879] lr: 1.0000e-02 eta: 2 days, 2:18:33 time: 0.4078 data_time: 0.0141 memory: 17087 grad_norm: 5.0137 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7891 loss: 1.7891 2022/08/03 16:12:55 - mmengine - INFO - Epoch(train) [32][20/1879] lr: 1.0000e-02 eta: 2 days, 2:17:37 time: 0.5680 data_time: 0.1208 memory: 17087 grad_norm: 4.8657 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5885 loss: 1.5885 2022/08/03 16:13:04 - mmengine - INFO - Epoch(train) [32][40/1879] lr: 1.0000e-02 eta: 2 days, 2:17:29 time: 0.4283 data_time: 0.0193 memory: 17087 grad_norm: 4.7215 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7265 loss: 1.7265 2022/08/03 16:13:13 - mmengine - INFO - Epoch(train) [32][60/1879] lr: 1.0000e-02 eta: 2 days, 2:17:20 time: 0.4238 data_time: 0.0125 memory: 17087 grad_norm: 4.7799 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7735 loss: 1.7735 2022/08/03 16:13:21 - mmengine - INFO - Epoch(train) [32][80/1879] lr: 1.0000e-02 eta: 2 days, 2:17:11 time: 0.4287 data_time: 0.0163 memory: 17087 grad_norm: 4.8398 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7228 loss: 1.7228 2022/08/03 16:13:30 - mmengine - INFO - Epoch(train) [32][100/1879] lr: 1.0000e-02 eta: 2 days, 2:17:02 time: 0.4251 data_time: 0.0139 memory: 17087 grad_norm: 4.8031 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.7803 loss: 1.7803 2022/08/03 16:13:38 - mmengine - INFO - Epoch(train) [32][120/1879] lr: 1.0000e-02 eta: 2 days, 2:16:53 time: 0.4253 data_time: 0.0158 memory: 17087 grad_norm: 4.7585 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8451 loss: 1.8451 2022/08/03 16:13:47 - mmengine - INFO - Epoch(train) [32][140/1879] lr: 1.0000e-02 eta: 2 days, 2:16:45 time: 0.4292 data_time: 0.0146 memory: 17087 grad_norm: 4.8713 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8933 loss: 1.8933 2022/08/03 16:13:55 - mmengine - INFO - Epoch(train) [32][160/1879] lr: 1.0000e-02 eta: 2 days, 2:16:37 time: 0.4344 data_time: 0.0166 memory: 17087 grad_norm: 4.9554 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7433 loss: 1.7433 2022/08/03 16:14:04 - mmengine - INFO - Epoch(train) [32][180/1879] lr: 1.0000e-02 eta: 2 days, 2:16:28 time: 0.4250 data_time: 0.0140 memory: 17087 grad_norm: 4.7116 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7403 loss: 1.7403 2022/08/03 16:14:13 - mmengine - INFO - Epoch(train) [32][200/1879] lr: 1.0000e-02 eta: 2 days, 2:16:21 time: 0.4404 data_time: 0.0155 memory: 17087 grad_norm: 4.9752 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8816 loss: 1.8816 2022/08/03 16:14:21 - mmengine - INFO - Epoch(train) [32][220/1879] lr: 1.0000e-02 eta: 2 days, 2:16:12 time: 0.4237 data_time: 0.0142 memory: 17087 grad_norm: 4.8224 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8405 loss: 1.8405 2022/08/03 16:14:30 - mmengine - INFO - Epoch(train) [32][240/1879] lr: 1.0000e-02 eta: 2 days, 2:16:04 time: 0.4342 data_time: 0.0166 memory: 17087 grad_norm: 4.8204 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9174 loss: 1.9174 2022/08/03 16:14:38 - mmengine - INFO - Epoch(train) [32][260/1879] lr: 1.0000e-02 eta: 2 days, 2:15:56 time: 0.4290 data_time: 0.0141 memory: 17087 grad_norm: 4.7343 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8405 loss: 1.8405 2022/08/03 16:14:47 - mmengine - INFO - Epoch(train) [32][280/1879] lr: 1.0000e-02 eta: 2 days, 2:15:47 time: 0.4251 data_time: 0.0159 memory: 17087 grad_norm: 4.7345 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6823 loss: 1.6823 2022/08/03 16:14:55 - mmengine - INFO - Epoch(train) [32][300/1879] lr: 1.0000e-02 eta: 2 days, 2:15:38 time: 0.4247 data_time: 0.0131 memory: 17087 grad_norm: 4.8600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8545 loss: 1.8545 2022/08/03 16:15:04 - mmengine - INFO - Epoch(train) [32][320/1879] lr: 1.0000e-02 eta: 2 days, 2:15:29 time: 0.4278 data_time: 0.0168 memory: 17087 grad_norm: 4.8460 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7342 loss: 1.7342 2022/08/03 16:15:13 - mmengine - INFO - Epoch(train) [32][340/1879] lr: 1.0000e-02 eta: 2 days, 2:15:20 time: 0.4253 data_time: 0.0123 memory: 17087 grad_norm: 4.9815 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9105 loss: 1.9105 2022/08/03 16:15:21 - mmengine - INFO - Epoch(train) [32][360/1879] lr: 1.0000e-02 eta: 2 days, 2:15:11 time: 0.4276 data_time: 0.0163 memory: 17087 grad_norm: 4.8891 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6694 loss: 1.6694 2022/08/03 16:15:30 - mmengine - INFO - Epoch(train) [32][380/1879] lr: 1.0000e-02 eta: 2 days, 2:15:03 time: 0.4283 data_time: 0.0154 memory: 17087 grad_norm: 4.7968 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6523 loss: 1.6523 2022/08/03 16:15:38 - mmengine - INFO - Epoch(train) [32][400/1879] lr: 1.0000e-02 eta: 2 days, 2:14:54 time: 0.4268 data_time: 0.0150 memory: 17087 grad_norm: 4.8244 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7560 loss: 1.7560 2022/08/03 16:15:47 - mmengine - INFO - Epoch(train) [32][420/1879] lr: 1.0000e-02 eta: 2 days, 2:14:45 time: 0.4265 data_time: 0.0172 memory: 17087 grad_norm: 4.8358 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6079 loss: 1.6079 2022/08/03 16:15:55 - mmengine - INFO - Epoch(train) [32][440/1879] lr: 1.0000e-02 eta: 2 days, 2:14:37 time: 0.4287 data_time: 0.0162 memory: 17087 grad_norm: 4.7218 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8224 loss: 1.8224 2022/08/03 16:16:04 - mmengine - INFO - Epoch(train) [32][460/1879] lr: 1.0000e-02 eta: 2 days, 2:14:27 time: 0.4232 data_time: 0.0127 memory: 17087 grad_norm: 4.7512 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7277 loss: 1.7277 2022/08/03 16:16:12 - mmengine - INFO - Epoch(train) [32][480/1879] lr: 1.0000e-02 eta: 2 days, 2:14:20 time: 0.4346 data_time: 0.0167 memory: 17087 grad_norm: 4.8634 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8192 loss: 1.8192 2022/08/03 16:16:21 - mmengine - INFO - Epoch(train) [32][500/1879] lr: 1.0000e-02 eta: 2 days, 2:14:11 time: 0.4246 data_time: 0.0136 memory: 17087 grad_norm: 4.7975 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7304 loss: 1.7304 2022/08/03 16:16:30 - mmengine - INFO - Epoch(train) [32][520/1879] lr: 1.0000e-02 eta: 2 days, 2:14:03 time: 0.4337 data_time: 0.0168 memory: 17087 grad_norm: 4.8468 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1642 loss: 2.1642 2022/08/03 16:16:38 - mmengine - INFO - Epoch(train) [32][540/1879] lr: 1.0000e-02 eta: 2 days, 2:13:54 time: 0.4245 data_time: 0.0152 memory: 17087 grad_norm: 4.7417 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7859 loss: 1.7859 2022/08/03 16:16:47 - mmengine - INFO - Epoch(train) [32][560/1879] lr: 1.0000e-02 eta: 2 days, 2:13:45 time: 0.4307 data_time: 0.0151 memory: 17087 grad_norm: 4.8889 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8019 loss: 1.8019 2022/08/03 16:16:55 - mmengine - INFO - Epoch(train) [32][580/1879] lr: 1.0000e-02 eta: 2 days, 2:13:38 time: 0.4339 data_time: 0.0195 memory: 17087 grad_norm: 4.8209 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8519 loss: 1.8519 2022/08/03 16:17:05 - mmengine - INFO - Epoch(train) [32][600/1879] lr: 1.0000e-02 eta: 2 days, 2:13:33 time: 0.4554 data_time: 0.0163 memory: 17087 grad_norm: 4.7797 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6225 loss: 1.6225 2022/08/03 16:17:13 - mmengine - INFO - Epoch(train) [32][620/1879] lr: 1.0000e-02 eta: 2 days, 2:13:24 time: 0.4234 data_time: 0.0134 memory: 17087 grad_norm: 4.9298 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6944 loss: 1.6944 2022/08/03 16:17:22 - mmengine - INFO - Epoch(train) [32][640/1879] lr: 1.0000e-02 eta: 2 days, 2:13:15 time: 0.4298 data_time: 0.0162 memory: 17087 grad_norm: 4.8343 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6661 loss: 1.6661 2022/08/03 16:17:30 - mmengine - INFO - Epoch(train) [32][660/1879] lr: 1.0000e-02 eta: 2 days, 2:13:06 time: 0.4253 data_time: 0.0160 memory: 17087 grad_norm: 4.7764 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9311 loss: 1.9311 2022/08/03 16:17:39 - mmengine - INFO - Epoch(train) [32][680/1879] lr: 1.0000e-02 eta: 2 days, 2:12:58 time: 0.4262 data_time: 0.0161 memory: 17087 grad_norm: 4.6791 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8078 loss: 1.8078 2022/08/03 16:17:48 - mmengine - INFO - Epoch(train) [32][700/1879] lr: 1.0000e-02 eta: 2 days, 2:12:51 time: 0.4439 data_time: 0.0167 memory: 17087 grad_norm: 4.7272 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7304 loss: 1.7304 2022/08/03 16:17:56 - mmengine - INFO - Epoch(train) [32][720/1879] lr: 1.0000e-02 eta: 2 days, 2:12:43 time: 0.4298 data_time: 0.0147 memory: 17087 grad_norm: 4.8806 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8988 loss: 1.8988 2022/08/03 16:18:05 - mmengine - INFO - Epoch(train) [32][740/1879] lr: 1.0000e-02 eta: 2 days, 2:12:35 time: 0.4327 data_time: 0.0212 memory: 17087 grad_norm: 4.7990 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7324 loss: 1.7324 2022/08/03 16:18:10 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:18:13 - mmengine - INFO - Epoch(train) [32][760/1879] lr: 1.0000e-02 eta: 2 days, 2:12:26 time: 0.4254 data_time: 0.0153 memory: 17087 grad_norm: 4.7292 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8283 loss: 1.8283 2022/08/03 16:18:22 - mmengine - INFO - Epoch(train) [32][780/1879] lr: 1.0000e-02 eta: 2 days, 2:12:18 time: 0.4291 data_time: 0.0158 memory: 17087 grad_norm: 4.7886 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7732 loss: 1.7732 2022/08/03 16:18:31 - mmengine - INFO - Epoch(train) [32][800/1879] lr: 1.0000e-02 eta: 2 days, 2:12:12 time: 0.4463 data_time: 0.0166 memory: 17087 grad_norm: 4.8303 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7397 loss: 1.7397 2022/08/03 16:18:39 - mmengine - INFO - Epoch(train) [32][820/1879] lr: 1.0000e-02 eta: 2 days, 2:12:02 time: 0.4232 data_time: 0.0146 memory: 17087 grad_norm: 4.8575 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8970 loss: 1.8970 2022/08/03 16:18:48 - mmengine - INFO - Epoch(train) [32][840/1879] lr: 1.0000e-02 eta: 2 days, 2:11:56 time: 0.4424 data_time: 0.0243 memory: 17087 grad_norm: 4.7598 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5387 loss: 1.5387 2022/08/03 16:18:57 - mmengine - INFO - Epoch(train) [32][860/1879] lr: 1.0000e-02 eta: 2 days, 2:11:47 time: 0.4268 data_time: 0.0125 memory: 17087 grad_norm: 4.7873 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6476 loss: 1.6476 2022/08/03 16:19:05 - mmengine - INFO - Epoch(train) [32][880/1879] lr: 1.0000e-02 eta: 2 days, 2:11:39 time: 0.4312 data_time: 0.0154 memory: 17087 grad_norm: 4.6203 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7366 loss: 1.7366 2022/08/03 16:19:14 - mmengine - INFO - Epoch(train) [32][900/1879] lr: 1.0000e-02 eta: 2 days, 2:11:29 time: 0.4232 data_time: 0.0156 memory: 17087 grad_norm: 4.6739 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6799 loss: 1.6799 2022/08/03 16:19:22 - mmengine - INFO - Epoch(train) [32][920/1879] lr: 1.0000e-02 eta: 2 days, 2:11:21 time: 0.4292 data_time: 0.0192 memory: 17087 grad_norm: 4.7894 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8632 loss: 1.8632 2022/08/03 16:19:32 - mmengine - INFO - Epoch(train) [32][940/1879] lr: 1.0000e-02 eta: 2 days, 2:11:16 time: 0.4566 data_time: 0.0151 memory: 17087 grad_norm: 4.8621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8049 loss: 1.8049 2022/08/03 16:19:40 - mmengine - INFO - Epoch(train) [32][960/1879] lr: 1.0000e-02 eta: 2 days, 2:11:08 time: 0.4297 data_time: 0.0205 memory: 17087 grad_norm: 4.7474 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8436 loss: 1.8436 2022/08/03 16:19:49 - mmengine - INFO - Epoch(train) [32][980/1879] lr: 1.0000e-02 eta: 2 days, 2:11:03 time: 0.4512 data_time: 0.0158 memory: 17087 grad_norm: 4.8518 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8175 loss: 1.8175 2022/08/03 16:19:58 - mmengine - INFO - Epoch(train) [32][1000/1879] lr: 1.0000e-02 eta: 2 days, 2:10:54 time: 0.4262 data_time: 0.0151 memory: 17087 grad_norm: 4.9154 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9355 loss: 1.9355 2022/08/03 16:20:06 - mmengine - INFO - Epoch(train) [32][1020/1879] lr: 1.0000e-02 eta: 2 days, 2:10:45 time: 0.4266 data_time: 0.0163 memory: 17087 grad_norm: 4.8118 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6118 loss: 1.6118 2022/08/03 16:20:15 - mmengine - INFO - Epoch(train) [32][1040/1879] lr: 1.0000e-02 eta: 2 days, 2:10:36 time: 0.4239 data_time: 0.0149 memory: 17087 grad_norm: 4.7275 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6856 loss: 1.6856 2022/08/03 16:20:23 - mmengine - INFO - Epoch(train) [32][1060/1879] lr: 1.0000e-02 eta: 2 days, 2:10:27 time: 0.4243 data_time: 0.0161 memory: 17087 grad_norm: 4.8708 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7163 loss: 1.7163 2022/08/03 16:20:32 - mmengine - INFO - Epoch(train) [32][1080/1879] lr: 1.0000e-02 eta: 2 days, 2:10:19 time: 0.4324 data_time: 0.0160 memory: 17087 grad_norm: 4.7947 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7156 loss: 1.7156 2022/08/03 16:20:40 - mmengine - INFO - Epoch(train) [32][1100/1879] lr: 1.0000e-02 eta: 2 days, 2:10:10 time: 0.4244 data_time: 0.0142 memory: 17087 grad_norm: 4.9197 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6639 loss: 1.6639 2022/08/03 16:20:49 - mmengine - INFO - Epoch(train) [32][1120/1879] lr: 1.0000e-02 eta: 2 days, 2:10:01 time: 0.4292 data_time: 0.0153 memory: 17087 grad_norm: 4.8008 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6487 loss: 1.6487 2022/08/03 16:20:58 - mmengine - INFO - Epoch(train) [32][1140/1879] lr: 1.0000e-02 eta: 2 days, 2:09:53 time: 0.4327 data_time: 0.0150 memory: 17087 grad_norm: 4.8363 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7133 loss: 1.7133 2022/08/03 16:21:06 - mmengine - INFO - Epoch(train) [32][1160/1879] lr: 1.0000e-02 eta: 2 days, 2:09:44 time: 0.4252 data_time: 0.0180 memory: 17087 grad_norm: 4.9309 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6887 loss: 1.6887 2022/08/03 16:21:15 - mmengine - INFO - Epoch(train) [32][1180/1879] lr: 1.0000e-02 eta: 2 days, 2:09:36 time: 0.4273 data_time: 0.0149 memory: 17087 grad_norm: 4.8879 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5642 loss: 1.5642 2022/08/03 16:21:23 - mmengine - INFO - Epoch(train) [32][1200/1879] lr: 1.0000e-02 eta: 2 days, 2:09:29 time: 0.4414 data_time: 0.0153 memory: 17087 grad_norm: 4.9590 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.8926 loss: 1.8926 2022/08/03 16:21:32 - mmengine - INFO - Epoch(train) [32][1220/1879] lr: 1.0000e-02 eta: 2 days, 2:09:21 time: 0.4321 data_time: 0.0165 memory: 17087 grad_norm: 4.9176 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7652 loss: 1.7652 2022/08/03 16:21:41 - mmengine - INFO - Epoch(train) [32][1240/1879] lr: 1.0000e-02 eta: 2 days, 2:09:12 time: 0.4247 data_time: 0.0170 memory: 17087 grad_norm: 4.8277 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7245 loss: 1.7245 2022/08/03 16:21:49 - mmengine - INFO - Epoch(train) [32][1260/1879] lr: 1.0000e-02 eta: 2 days, 2:09:04 time: 0.4315 data_time: 0.0169 memory: 17087 grad_norm: 4.8157 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9133 loss: 1.9133 2022/08/03 16:21:58 - mmengine - INFO - Epoch(train) [32][1280/1879] lr: 1.0000e-02 eta: 2 days, 2:08:59 time: 0.4533 data_time: 0.0147 memory: 17087 grad_norm: 4.8122 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8813 loss: 1.8813 2022/08/03 16:22:07 - mmengine - INFO - Epoch(train) [32][1300/1879] lr: 1.0000e-02 eta: 2 days, 2:08:50 time: 0.4312 data_time: 0.0210 memory: 17087 grad_norm: 4.9623 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9430 loss: 1.9430 2022/08/03 16:22:15 - mmengine - INFO - Epoch(train) [32][1320/1879] lr: 1.0000e-02 eta: 2 days, 2:08:41 time: 0.4249 data_time: 0.0162 memory: 17087 grad_norm: 4.8930 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6382 loss: 1.6382 2022/08/03 16:22:24 - mmengine - INFO - Epoch(train) [32][1340/1879] lr: 1.0000e-02 eta: 2 days, 2:08:32 time: 0.4240 data_time: 0.0144 memory: 17087 grad_norm: 4.7827 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8529 loss: 1.8529 2022/08/03 16:22:33 - mmengine - INFO - Epoch(train) [32][1360/1879] lr: 1.0000e-02 eta: 2 days, 2:08:29 time: 0.4648 data_time: 0.0173 memory: 17087 grad_norm: 4.8039 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7586 loss: 1.7586 2022/08/03 16:22:42 - mmengine - INFO - Epoch(train) [32][1380/1879] lr: 1.0000e-02 eta: 2 days, 2:08:21 time: 0.4353 data_time: 0.0158 memory: 17087 grad_norm: 4.7256 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5926 loss: 1.5926 2022/08/03 16:22:51 - mmengine - INFO - Epoch(train) [32][1400/1879] lr: 1.0000e-02 eta: 2 days, 2:08:12 time: 0.4243 data_time: 0.0166 memory: 17087 grad_norm: 4.8377 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7468 loss: 1.7468 2022/08/03 16:22:59 - mmengine - INFO - Epoch(train) [32][1420/1879] lr: 1.0000e-02 eta: 2 days, 2:08:05 time: 0.4372 data_time: 0.0227 memory: 17087 grad_norm: 4.8671 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6867 loss: 1.6867 2022/08/03 16:23:08 - mmengine - INFO - Epoch(train) [32][1440/1879] lr: 1.0000e-02 eta: 2 days, 2:07:59 time: 0.4462 data_time: 0.0163 memory: 17087 grad_norm: 4.9644 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6919 loss: 1.6919 2022/08/03 16:23:17 - mmengine - INFO - Epoch(train) [32][1460/1879] lr: 1.0000e-02 eta: 2 days, 2:07:51 time: 0.4311 data_time: 0.0165 memory: 17087 grad_norm: 4.8114 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8088 loss: 1.8088 2022/08/03 16:23:25 - mmengine - INFO - Epoch(train) [32][1480/1879] lr: 1.0000e-02 eta: 2 days, 2:07:41 time: 0.4242 data_time: 0.0147 memory: 17087 grad_norm: 4.7226 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6275 loss: 1.6275 2022/08/03 16:23:34 - mmengine - INFO - Epoch(train) [32][1500/1879] lr: 1.0000e-02 eta: 2 days, 2:07:32 time: 0.4233 data_time: 0.0160 memory: 17087 grad_norm: 4.6460 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6525 loss: 1.6525 2022/08/03 16:23:42 - mmengine - INFO - Epoch(train) [32][1520/1879] lr: 1.0000e-02 eta: 2 days, 2:07:25 time: 0.4360 data_time: 0.0162 memory: 17087 grad_norm: 4.7388 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8310 loss: 1.8310 2022/08/03 16:23:51 - mmengine - INFO - Epoch(train) [32][1540/1879] lr: 1.0000e-02 eta: 2 days, 2:07:16 time: 0.4255 data_time: 0.0160 memory: 17087 grad_norm: 4.7869 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6328 loss: 1.6328 2022/08/03 16:24:00 - mmengine - INFO - Epoch(train) [32][1560/1879] lr: 1.0000e-02 eta: 2 days, 2:07:09 time: 0.4423 data_time: 0.0158 memory: 17087 grad_norm: 4.6807 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6909 loss: 1.6909 2022/08/03 16:24:08 - mmengine - INFO - Epoch(train) [32][1580/1879] lr: 1.0000e-02 eta: 2 days, 2:07:00 time: 0.4250 data_time: 0.0145 memory: 17087 grad_norm: 4.6704 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7082 loss: 1.7082 2022/08/03 16:24:17 - mmengine - INFO - Epoch(train) [32][1600/1879] lr: 1.0000e-02 eta: 2 days, 2:06:52 time: 0.4304 data_time: 0.0163 memory: 17087 grad_norm: 4.8526 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7470 loss: 1.7470 2022/08/03 16:24:25 - mmengine - INFO - Epoch(train) [32][1620/1879] lr: 1.0000e-02 eta: 2 days, 2:06:43 time: 0.4242 data_time: 0.0142 memory: 17087 grad_norm: 4.9252 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6326 loss: 1.6326 2022/08/03 16:24:34 - mmengine - INFO - Epoch(train) [32][1640/1879] lr: 1.0000e-02 eta: 2 days, 2:06:36 time: 0.4425 data_time: 0.0186 memory: 17087 grad_norm: 4.7910 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6514 loss: 1.6514 2022/08/03 16:24:43 - mmengine - INFO - Epoch(train) [32][1660/1879] lr: 1.0000e-02 eta: 2 days, 2:06:27 time: 0.4263 data_time: 0.0142 memory: 17087 grad_norm: 4.8746 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6705 loss: 1.6705 2022/08/03 16:24:52 - mmengine - INFO - Epoch(train) [32][1680/1879] lr: 1.0000e-02 eta: 2 days, 2:06:20 time: 0.4367 data_time: 0.0213 memory: 17087 grad_norm: 5.0100 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0364 loss: 2.0364 2022/08/03 16:25:00 - mmengine - INFO - Epoch(train) [32][1700/1879] lr: 1.0000e-02 eta: 2 days, 2:06:11 time: 0.4279 data_time: 0.0142 memory: 17087 grad_norm: 4.8748 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7349 loss: 1.7349 2022/08/03 16:25:09 - mmengine - INFO - Epoch(train) [32][1720/1879] lr: 1.0000e-02 eta: 2 days, 2:06:03 time: 0.4327 data_time: 0.0171 memory: 17087 grad_norm: 4.7674 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8964 loss: 1.8964 2022/08/03 16:25:18 - mmengine - INFO - Epoch(train) [32][1740/1879] lr: 1.0000e-02 eta: 2 days, 2:05:57 time: 0.4446 data_time: 0.0155 memory: 17087 grad_norm: 4.8894 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8851 loss: 1.8851 2022/08/03 16:25:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:25:26 - mmengine - INFO - Epoch(train) [32][1760/1879] lr: 1.0000e-02 eta: 2 days, 2:05:48 time: 0.4241 data_time: 0.0153 memory: 17087 grad_norm: 4.8755 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7355 loss: 1.7355 2022/08/03 16:25:35 - mmengine - INFO - Epoch(train) [32][1780/1879] lr: 1.0000e-02 eta: 2 days, 2:05:38 time: 0.4229 data_time: 0.0140 memory: 17087 grad_norm: 4.8469 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6957 loss: 1.6957 2022/08/03 16:25:43 - mmengine - INFO - Epoch(train) [32][1800/1879] lr: 1.0000e-02 eta: 2 days, 2:05:30 time: 0.4271 data_time: 0.0158 memory: 17087 grad_norm: 4.7811 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7567 loss: 1.7567 2022/08/03 16:25:52 - mmengine - INFO - Epoch(train) [32][1820/1879] lr: 1.0000e-02 eta: 2 days, 2:05:21 time: 0.4244 data_time: 0.0152 memory: 17087 grad_norm: 4.8566 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7298 loss: 1.7298 2022/08/03 16:26:00 - mmengine - INFO - Epoch(train) [32][1840/1879] lr: 1.0000e-02 eta: 2 days, 2:05:13 time: 0.4374 data_time: 0.0145 memory: 17087 grad_norm: 4.8240 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7933 loss: 1.7933 2022/08/03 16:26:09 - mmengine - INFO - Epoch(train) [32][1860/1879] lr: 1.0000e-02 eta: 2 days, 2:05:05 time: 0.4305 data_time: 0.0177 memory: 17087 grad_norm: 4.8474 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.6741 loss: 1.6741 2022/08/03 16:26:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:26:17 - mmengine - INFO - Epoch(train) [32][1879/1879] lr: 1.0000e-02 eta: 2 days, 2:05:05 time: 0.4077 data_time: 0.0153 memory: 17087 grad_norm: 5.0824 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.8880 loss: 1.8880 2022/08/03 16:26:17 - mmengine - INFO - Saving checkpoint at 32 epochs 2022/08/03 16:26:30 - mmengine - INFO - Epoch(train) [33][20/1879] lr: 1.0000e-02 eta: 2 days, 2:04:03 time: 0.5127 data_time: 0.1001 memory: 17087 grad_norm: 4.7107 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6916 loss: 1.6916 2022/08/03 16:26:39 - mmengine - INFO - Epoch(train) [33][40/1879] lr: 1.0000e-02 eta: 2 days, 2:03:55 time: 0.4314 data_time: 0.0166 memory: 17087 grad_norm: 4.7126 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8508 loss: 1.8508 2022/08/03 16:26:48 - mmengine - INFO - Epoch(train) [33][60/1879] lr: 1.0000e-02 eta: 2 days, 2:03:46 time: 0.4237 data_time: 0.0140 memory: 17087 grad_norm: 4.9009 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5716 loss: 1.5716 2022/08/03 16:26:56 - mmengine - INFO - Epoch(train) [33][80/1879] lr: 1.0000e-02 eta: 2 days, 2:03:39 time: 0.4434 data_time: 0.0158 memory: 17087 grad_norm: 4.7286 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6922 loss: 1.6922 2022/08/03 16:27:05 - mmengine - INFO - Epoch(train) [33][100/1879] lr: 1.0000e-02 eta: 2 days, 2:03:30 time: 0.4254 data_time: 0.0152 memory: 17087 grad_norm: 4.6045 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6606 loss: 1.6606 2022/08/03 16:27:13 - mmengine - INFO - Epoch(train) [33][120/1879] lr: 1.0000e-02 eta: 2 days, 2:03:21 time: 0.4257 data_time: 0.0178 memory: 17087 grad_norm: 4.8050 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.6451 loss: 1.6451 2022/08/03 16:27:22 - mmengine - INFO - Epoch(train) [33][140/1879] lr: 1.0000e-02 eta: 2 days, 2:03:13 time: 0.4261 data_time: 0.0145 memory: 17087 grad_norm: 4.7258 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4834 loss: 1.4834 2022/08/03 16:27:30 - mmengine - INFO - Epoch(train) [33][160/1879] lr: 1.0000e-02 eta: 2 days, 2:03:03 time: 0.4233 data_time: 0.0150 memory: 17087 grad_norm: 4.8890 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7902 loss: 1.7902 2022/08/03 16:27:39 - mmengine - INFO - Epoch(train) [33][180/1879] lr: 1.0000e-02 eta: 2 days, 2:02:57 time: 0.4416 data_time: 0.0167 memory: 17087 grad_norm: 4.9868 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7985 loss: 1.7985 2022/08/03 16:27:48 - mmengine - INFO - Epoch(train) [33][200/1879] lr: 1.0000e-02 eta: 2 days, 2:02:48 time: 0.4257 data_time: 0.0159 memory: 17087 grad_norm: 4.9169 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6620 loss: 1.6620 2022/08/03 16:27:56 - mmengine - INFO - Epoch(train) [33][220/1879] lr: 1.0000e-02 eta: 2 days, 2:02:39 time: 0.4303 data_time: 0.0169 memory: 17087 grad_norm: 4.8637 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6467 loss: 1.6467 2022/08/03 16:28:05 - mmengine - INFO - Epoch(train) [33][240/1879] lr: 1.0000e-02 eta: 2 days, 2:02:30 time: 0.4253 data_time: 0.0160 memory: 17087 grad_norm: 4.9583 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7681 loss: 1.7681 2022/08/03 16:28:13 - mmengine - INFO - Epoch(train) [33][260/1879] lr: 1.0000e-02 eta: 2 days, 2:02:21 time: 0.4249 data_time: 0.0176 memory: 17087 grad_norm: 4.8408 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7692 loss: 1.7692 2022/08/03 16:28:23 - mmengine - INFO - Epoch(train) [33][280/1879] lr: 1.0000e-02 eta: 2 days, 2:02:16 time: 0.4544 data_time: 0.0169 memory: 17087 grad_norm: 4.8259 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7245 loss: 1.7245 2022/08/03 16:28:31 - mmengine - INFO - Epoch(train) [33][300/1879] lr: 1.0000e-02 eta: 2 days, 2:02:07 time: 0.4228 data_time: 0.0132 memory: 17087 grad_norm: 4.8776 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.7867 loss: 1.7867 2022/08/03 16:28:40 - mmengine - INFO - Epoch(train) [33][320/1879] lr: 1.0000e-02 eta: 2 days, 2:01:59 time: 0.4341 data_time: 0.0173 memory: 17087 grad_norm: 4.8189 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7415 loss: 1.7415 2022/08/03 16:28:48 - mmengine - INFO - Epoch(train) [33][340/1879] lr: 1.0000e-02 eta: 2 days, 2:01:50 time: 0.4234 data_time: 0.0141 memory: 17087 grad_norm: 4.7014 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8607 loss: 1.8607 2022/08/03 16:28:57 - mmengine - INFO - Epoch(train) [33][360/1879] lr: 1.0000e-02 eta: 2 days, 2:01:44 time: 0.4446 data_time: 0.0178 memory: 17087 grad_norm: 4.8785 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0106 loss: 2.0106 2022/08/03 16:29:05 - mmengine - INFO - Epoch(train) [33][380/1879] lr: 1.0000e-02 eta: 2 days, 2:01:35 time: 0.4231 data_time: 0.0131 memory: 17087 grad_norm: 4.8213 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9133 loss: 1.9133 2022/08/03 16:29:14 - mmengine - INFO - Epoch(train) [33][400/1879] lr: 1.0000e-02 eta: 2 days, 2:01:26 time: 0.4261 data_time: 0.0154 memory: 17087 grad_norm: 4.8969 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7426 loss: 1.7426 2022/08/03 16:29:23 - mmengine - INFO - Epoch(train) [33][420/1879] lr: 1.0000e-02 eta: 2 days, 2:01:18 time: 0.4373 data_time: 0.0186 memory: 17087 grad_norm: 4.9108 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6699 loss: 1.6699 2022/08/03 16:29:31 - mmengine - INFO - Epoch(train) [33][440/1879] lr: 1.0000e-02 eta: 2 days, 2:01:09 time: 0.4248 data_time: 0.0160 memory: 17087 grad_norm: 4.9339 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7419 loss: 1.7419 2022/08/03 16:29:40 - mmengine - INFO - Epoch(train) [33][460/1879] lr: 1.0000e-02 eta: 2 days, 2:01:04 time: 0.4480 data_time: 0.0150 memory: 17087 grad_norm: 4.8370 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7434 loss: 1.7434 2022/08/03 16:29:49 - mmengine - INFO - Epoch(train) [33][480/1879] lr: 1.0000e-02 eta: 2 days, 2:00:55 time: 0.4256 data_time: 0.0157 memory: 17087 grad_norm: 4.8034 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9062 loss: 1.9062 2022/08/03 16:29:57 - mmengine - INFO - Epoch(train) [33][500/1879] lr: 1.0000e-02 eta: 2 days, 2:00:46 time: 0.4317 data_time: 0.0150 memory: 17087 grad_norm: 4.8606 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6149 loss: 1.6149 2022/08/03 16:30:06 - mmengine - INFO - Epoch(train) [33][520/1879] lr: 1.0000e-02 eta: 2 days, 2:00:38 time: 0.4280 data_time: 0.0160 memory: 17087 grad_norm: 4.8538 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8678 loss: 1.8678 2022/08/03 16:30:15 - mmengine - INFO - Epoch(train) [33][540/1879] lr: 1.0000e-02 eta: 2 days, 2:00:32 time: 0.4494 data_time: 0.0156 memory: 17087 grad_norm: 4.8104 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4091 loss: 1.4091 2022/08/03 16:30:23 - mmengine - INFO - Epoch(train) [33][560/1879] lr: 1.0000e-02 eta: 2 days, 2:00:23 time: 0.4264 data_time: 0.0164 memory: 17087 grad_norm: 4.6673 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8607 loss: 1.8607 2022/08/03 16:30:32 - mmengine - INFO - Epoch(train) [33][580/1879] lr: 1.0000e-02 eta: 2 days, 2:00:14 time: 0.4257 data_time: 0.0128 memory: 17087 grad_norm: 4.9658 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7565 loss: 1.7565 2022/08/03 16:30:41 - mmengine - INFO - Epoch(train) [33][600/1879] lr: 1.0000e-02 eta: 2 days, 2:00:08 time: 0.4439 data_time: 0.0149 memory: 17087 grad_norm: 4.6547 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7317 loss: 1.7317 2022/08/03 16:30:49 - mmengine - INFO - Epoch(train) [33][620/1879] lr: 1.0000e-02 eta: 2 days, 1:59:59 time: 0.4263 data_time: 0.0160 memory: 17087 grad_norm: 4.8606 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5494 loss: 1.5494 2022/08/03 16:30:58 - mmengine - INFO - Epoch(train) [33][640/1879] lr: 1.0000e-02 eta: 2 days, 1:59:50 time: 0.4267 data_time: 0.0172 memory: 17087 grad_norm: 4.7525 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6522 loss: 1.6522 2022/08/03 16:31:07 - mmengine - INFO - Epoch(train) [33][660/1879] lr: 1.0000e-02 eta: 2 days, 1:59:44 time: 0.4437 data_time: 0.0143 memory: 17087 grad_norm: 4.7545 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6588 loss: 1.6588 2022/08/03 16:31:15 - mmengine - INFO - Epoch(train) [33][680/1879] lr: 1.0000e-02 eta: 2 days, 1:59:35 time: 0.4251 data_time: 0.0177 memory: 17087 grad_norm: 4.7865 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9657 loss: 1.9657 2022/08/03 16:31:24 - mmengine - INFO - Epoch(train) [33][700/1879] lr: 1.0000e-02 eta: 2 days, 1:59:28 time: 0.4365 data_time: 0.0129 memory: 17087 grad_norm: 4.7381 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7080 loss: 1.7080 2022/08/03 16:31:33 - mmengine - INFO - Epoch(train) [33][720/1879] lr: 1.0000e-02 eta: 2 days, 1:59:19 time: 0.4264 data_time: 0.0154 memory: 17087 grad_norm: 4.7328 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5962 loss: 1.5962 2022/08/03 16:31:41 - mmengine - INFO - Epoch(train) [33][740/1879] lr: 1.0000e-02 eta: 2 days, 1:59:10 time: 0.4256 data_time: 0.0172 memory: 17087 grad_norm: 4.9393 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5934 loss: 1.5934 2022/08/03 16:31:50 - mmengine - INFO - Epoch(train) [33][760/1879] lr: 1.0000e-02 eta: 2 days, 1:59:02 time: 0.4305 data_time: 0.0162 memory: 17087 grad_norm: 4.7909 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6934 loss: 1.6934 2022/08/03 16:31:58 - mmengine - INFO - Epoch(train) [33][780/1879] lr: 1.0000e-02 eta: 2 days, 1:58:54 time: 0.4376 data_time: 0.0163 memory: 17087 grad_norm: 4.7307 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3808 loss: 1.3808 2022/08/03 16:32:07 - mmengine - INFO - Epoch(train) [33][800/1879] lr: 1.0000e-02 eta: 2 days, 1:58:45 time: 0.4234 data_time: 0.0145 memory: 17087 grad_norm: 4.9667 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8282 loss: 1.8282 2022/08/03 16:32:16 - mmengine - INFO - Epoch(train) [33][820/1879] lr: 1.0000e-02 eta: 2 days, 1:58:37 time: 0.4294 data_time: 0.0156 memory: 17087 grad_norm: 4.8113 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7260 loss: 1.7260 2022/08/03 16:32:25 - mmengine - INFO - Epoch(train) [33][840/1879] lr: 1.0000e-02 eta: 2 days, 1:58:31 time: 0.4532 data_time: 0.0159 memory: 17087 grad_norm: 4.8283 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6034 loss: 1.6034 2022/08/03 16:32:33 - mmengine - INFO - Epoch(train) [33][860/1879] lr: 1.0000e-02 eta: 2 days, 1:58:22 time: 0.4249 data_time: 0.0139 memory: 17087 grad_norm: 4.8149 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6670 loss: 1.6670 2022/08/03 16:32:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:32:42 - mmengine - INFO - Epoch(train) [33][880/1879] lr: 1.0000e-02 eta: 2 days, 1:58:15 time: 0.4360 data_time: 0.0189 memory: 17087 grad_norm: 4.9962 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7013 loss: 1.7013 2022/08/03 16:32:51 - mmengine - INFO - Epoch(train) [33][900/1879] lr: 1.0000e-02 eta: 2 days, 1:58:08 time: 0.4425 data_time: 0.0162 memory: 17087 grad_norm: 4.8842 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7917 loss: 1.7917 2022/08/03 16:32:59 - mmengine - INFO - Epoch(train) [33][920/1879] lr: 1.0000e-02 eta: 2 days, 1:58:00 time: 0.4281 data_time: 0.0159 memory: 17087 grad_norm: 4.7742 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5927 loss: 1.5927 2022/08/03 16:33:08 - mmengine - INFO - Epoch(train) [33][940/1879] lr: 1.0000e-02 eta: 2 days, 1:57:51 time: 0.4251 data_time: 0.0148 memory: 17087 grad_norm: 4.8242 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8314 loss: 1.8314 2022/08/03 16:33:17 - mmengine - INFO - Epoch(train) [33][960/1879] lr: 1.0000e-02 eta: 2 days, 1:57:44 time: 0.4434 data_time: 0.0174 memory: 17087 grad_norm: 4.9236 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7483 loss: 1.7483 2022/08/03 16:33:25 - mmengine - INFO - Epoch(train) [33][980/1879] lr: 1.0000e-02 eta: 2 days, 1:57:35 time: 0.4222 data_time: 0.0133 memory: 17087 grad_norm: 4.8335 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6199 loss: 1.6199 2022/08/03 16:33:34 - mmengine - INFO - Epoch(train) [33][1000/1879] lr: 1.0000e-02 eta: 2 days, 1:57:27 time: 0.4333 data_time: 0.0152 memory: 17087 grad_norm: 4.9402 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6513 loss: 1.6513 2022/08/03 16:33:43 - mmengine - INFO - Epoch(train) [33][1020/1879] lr: 1.0000e-02 eta: 2 days, 1:57:20 time: 0.4392 data_time: 0.0151 memory: 17087 grad_norm: 4.8411 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7496 loss: 1.7496 2022/08/03 16:33:51 - mmengine - INFO - Epoch(train) [33][1040/1879] lr: 1.0000e-02 eta: 2 days, 1:57:11 time: 0.4251 data_time: 0.0160 memory: 17087 grad_norm: 4.7082 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6726 loss: 1.6726 2022/08/03 16:34:00 - mmengine - INFO - Epoch(train) [33][1060/1879] lr: 1.0000e-02 eta: 2 days, 1:57:02 time: 0.4291 data_time: 0.0186 memory: 17087 grad_norm: 4.8093 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6437 loss: 1.6437 2022/08/03 16:34:08 - mmengine - INFO - Epoch(train) [33][1080/1879] lr: 1.0000e-02 eta: 2 days, 1:56:54 time: 0.4276 data_time: 0.0156 memory: 17087 grad_norm: 4.7594 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9984 loss: 1.9984 2022/08/03 16:34:17 - mmengine - INFO - Epoch(train) [33][1100/1879] lr: 1.0000e-02 eta: 2 days, 1:56:45 time: 0.4270 data_time: 0.0147 memory: 17087 grad_norm: 4.9339 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7804 loss: 1.7804 2022/08/03 16:34:25 - mmengine - INFO - Epoch(train) [33][1120/1879] lr: 1.0000e-02 eta: 2 days, 1:56:36 time: 0.4262 data_time: 0.0152 memory: 17087 grad_norm: 4.8938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7749 loss: 1.7749 2022/08/03 16:34:34 - mmengine - INFO - Epoch(train) [33][1140/1879] lr: 1.0000e-02 eta: 2 days, 1:56:27 time: 0.4224 data_time: 0.0138 memory: 17087 grad_norm: 4.8744 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4840 loss: 1.4840 2022/08/03 16:34:42 - mmengine - INFO - Epoch(train) [33][1160/1879] lr: 1.0000e-02 eta: 2 days, 1:56:18 time: 0.4277 data_time: 0.0164 memory: 17087 grad_norm: 4.6943 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7692 loss: 1.7692 2022/08/03 16:34:51 - mmengine - INFO - Epoch(train) [33][1180/1879] lr: 1.0000e-02 eta: 2 days, 1:56:09 time: 0.4245 data_time: 0.0137 memory: 17087 grad_norm: 4.7626 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8086 loss: 1.8086 2022/08/03 16:34:59 - mmengine - INFO - Epoch(train) [33][1200/1879] lr: 1.0000e-02 eta: 2 days, 1:56:01 time: 0.4321 data_time: 0.0175 memory: 17087 grad_norm: 4.8876 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8024 loss: 1.8024 2022/08/03 16:35:08 - mmengine - INFO - Epoch(train) [33][1220/1879] lr: 1.0000e-02 eta: 2 days, 1:55:52 time: 0.4242 data_time: 0.0154 memory: 17087 grad_norm: 4.8774 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7480 loss: 1.7480 2022/08/03 16:35:17 - mmengine - INFO - Epoch(train) [33][1240/1879] lr: 1.0000e-02 eta: 2 days, 1:55:44 time: 0.4316 data_time: 0.0172 memory: 17087 grad_norm: 4.8851 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9780 loss: 1.9780 2022/08/03 16:35:25 - mmengine - INFO - Epoch(train) [33][1260/1879] lr: 1.0000e-02 eta: 2 days, 1:55:35 time: 0.4244 data_time: 0.0150 memory: 17087 grad_norm: 4.7407 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7218 loss: 1.7218 2022/08/03 16:35:34 - mmengine - INFO - Epoch(train) [33][1280/1879] lr: 1.0000e-02 eta: 2 days, 1:55:26 time: 0.4245 data_time: 0.0152 memory: 17087 grad_norm: 4.7309 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5486 loss: 1.5486 2022/08/03 16:35:43 - mmengine - INFO - Epoch(train) [33][1300/1879] lr: 1.0000e-02 eta: 2 days, 1:55:22 time: 0.4652 data_time: 0.0159 memory: 17087 grad_norm: 4.8229 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6002 loss: 1.6002 2022/08/03 16:35:51 - mmengine - INFO - Epoch(train) [33][1320/1879] lr: 1.0000e-02 eta: 2 days, 1:55:13 time: 0.4257 data_time: 0.0150 memory: 17087 grad_norm: 4.5705 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8233 loss: 1.8233 2022/08/03 16:36:00 - mmengine - INFO - Epoch(train) [33][1340/1879] lr: 1.0000e-02 eta: 2 days, 1:55:07 time: 0.4494 data_time: 0.0161 memory: 17087 grad_norm: 4.6710 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6728 loss: 1.6728 2022/08/03 16:36:09 - mmengine - INFO - Epoch(train) [33][1360/1879] lr: 1.0000e-02 eta: 2 days, 1:54:58 time: 0.4249 data_time: 0.0164 memory: 17087 grad_norm: 4.7638 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8104 loss: 1.8104 2022/08/03 16:36:18 - mmengine - INFO - Epoch(train) [33][1380/1879] lr: 1.0000e-02 eta: 2 days, 1:54:52 time: 0.4448 data_time: 0.0138 memory: 17087 grad_norm: 4.9172 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6368 loss: 1.6368 2022/08/03 16:36:26 - mmengine - INFO - Epoch(train) [33][1400/1879] lr: 1.0000e-02 eta: 2 days, 1:54:44 time: 0.4292 data_time: 0.0151 memory: 17087 grad_norm: 4.9221 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5881 loss: 1.5881 2022/08/03 16:36:35 - mmengine - INFO - Epoch(train) [33][1420/1879] lr: 1.0000e-02 eta: 2 days, 1:54:35 time: 0.4309 data_time: 0.0148 memory: 17087 grad_norm: 4.9693 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9178 loss: 1.9178 2022/08/03 16:36:43 - mmengine - INFO - Epoch(train) [33][1440/1879] lr: 1.0000e-02 eta: 2 days, 1:54:26 time: 0.4238 data_time: 0.0142 memory: 17087 grad_norm: 4.7381 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6209 loss: 1.6209 2022/08/03 16:36:52 - mmengine - INFO - Epoch(train) [33][1460/1879] lr: 1.0000e-02 eta: 2 days, 1:54:21 time: 0.4520 data_time: 0.0156 memory: 17087 grad_norm: 4.9117 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4932 loss: 1.4932 2022/08/03 16:37:01 - mmengine - INFO - Epoch(train) [33][1480/1879] lr: 1.0000e-02 eta: 2 days, 1:54:12 time: 0.4240 data_time: 0.0143 memory: 17087 grad_norm: 4.8632 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7638 loss: 1.7638 2022/08/03 16:37:10 - mmengine - INFO - Epoch(train) [33][1500/1879] lr: 1.0000e-02 eta: 2 days, 1:54:06 time: 0.4469 data_time: 0.0148 memory: 17087 grad_norm: 4.9443 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7117 loss: 1.7117 2022/08/03 16:37:19 - mmengine - INFO - Epoch(train) [33][1520/1879] lr: 1.0000e-02 eta: 2 days, 1:53:58 time: 0.4333 data_time: 0.0172 memory: 17087 grad_norm: 4.7595 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.7059 loss: 1.7059 2022/08/03 16:37:27 - mmengine - INFO - Epoch(train) [33][1540/1879] lr: 1.0000e-02 eta: 2 days, 1:53:48 time: 0.4231 data_time: 0.0140 memory: 17087 grad_norm: 4.6915 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5529 loss: 1.5529 2022/08/03 16:37:36 - mmengine - INFO - Epoch(train) [33][1560/1879] lr: 1.0000e-02 eta: 2 days, 1:53:40 time: 0.4307 data_time: 0.0214 memory: 17087 grad_norm: 4.7954 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6723 loss: 1.6723 2022/08/03 16:37:44 - mmengine - INFO - Epoch(train) [33][1580/1879] lr: 1.0000e-02 eta: 2 days, 1:53:32 time: 0.4290 data_time: 0.0162 memory: 17087 grad_norm: 4.8803 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6514 loss: 1.6514 2022/08/03 16:37:53 - mmengine - INFO - Epoch(train) [33][1600/1879] lr: 1.0000e-02 eta: 2 days, 1:53:23 time: 0.4257 data_time: 0.0176 memory: 17087 grad_norm: 4.7373 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7981 loss: 1.7981 2022/08/03 16:38:01 - mmengine - INFO - Epoch(train) [33][1620/1879] lr: 1.0000e-02 eta: 2 days, 1:53:14 time: 0.4269 data_time: 0.0170 memory: 17087 grad_norm: 4.9772 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8421 loss: 1.8421 2022/08/03 16:38:10 - mmengine - INFO - Epoch(train) [33][1640/1879] lr: 1.0000e-02 eta: 2 days, 1:53:05 time: 0.4257 data_time: 0.0156 memory: 17087 grad_norm: 4.9526 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6301 loss: 1.6301 2022/08/03 16:38:18 - mmengine - INFO - Epoch(train) [33][1660/1879] lr: 1.0000e-02 eta: 2 days, 1:52:56 time: 0.4257 data_time: 0.0149 memory: 17087 grad_norm: 4.7502 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7303 loss: 1.7303 2022/08/03 16:38:27 - mmengine - INFO - Epoch(train) [33][1680/1879] lr: 1.0000e-02 eta: 2 days, 1:52:47 time: 0.4232 data_time: 0.0166 memory: 17087 grad_norm: 4.7632 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8613 loss: 1.8613 2022/08/03 16:38:35 - mmengine - INFO - Epoch(train) [33][1700/1879] lr: 1.0000e-02 eta: 2 days, 1:52:38 time: 0.4252 data_time: 0.0138 memory: 17087 grad_norm: 4.7367 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7247 loss: 1.7247 2022/08/03 16:38:44 - mmengine - INFO - Epoch(train) [33][1720/1879] lr: 1.0000e-02 eta: 2 days, 1:52:29 time: 0.4255 data_time: 0.0171 memory: 17087 grad_norm: 4.7659 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9062 loss: 1.9062 2022/08/03 16:38:52 - mmengine - INFO - Epoch(train) [33][1740/1879] lr: 1.0000e-02 eta: 2 days, 1:52:20 time: 0.4244 data_time: 0.0180 memory: 17087 grad_norm: 4.6810 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6660 loss: 1.6660 2022/08/03 16:39:01 - mmengine - INFO - Epoch(train) [33][1760/1879] lr: 1.0000e-02 eta: 2 days, 1:52:12 time: 0.4306 data_time: 0.0152 memory: 17087 grad_norm: 4.7581 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7470 loss: 1.7470 2022/08/03 16:39:10 - mmengine - INFO - Epoch(train) [33][1780/1879] lr: 1.0000e-02 eta: 2 days, 1:52:04 time: 0.4334 data_time: 0.0204 memory: 17087 grad_norm: 4.9170 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5995 loss: 1.5995 2022/08/03 16:39:18 - mmengine - INFO - Epoch(train) [33][1800/1879] lr: 1.0000e-02 eta: 2 days, 1:51:56 time: 0.4313 data_time: 0.0166 memory: 17087 grad_norm: 4.8274 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7190 loss: 1.7190 2022/08/03 16:39:27 - mmengine - INFO - Epoch(train) [33][1820/1879] lr: 1.0000e-02 eta: 2 days, 1:51:47 time: 0.4243 data_time: 0.0151 memory: 17087 grad_norm: 4.8898 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6534 loss: 1.6534 2022/08/03 16:39:35 - mmengine - INFO - Epoch(train) [33][1840/1879] lr: 1.0000e-02 eta: 2 days, 1:51:38 time: 0.4260 data_time: 0.0168 memory: 17087 grad_norm: 4.7939 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7943 loss: 1.7943 2022/08/03 16:39:44 - mmengine - INFO - Epoch(train) [33][1860/1879] lr: 1.0000e-02 eta: 2 days, 1:51:28 time: 0.4229 data_time: 0.0154 memory: 17087 grad_norm: 4.7764 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6584 loss: 1.6584 2022/08/03 16:39:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:39:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:39:52 - mmengine - INFO - Epoch(train) [33][1879/1879] lr: 1.0000e-02 eta: 2 days, 1:51:28 time: 0.4389 data_time: 0.0157 memory: 17087 grad_norm: 4.7864 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.6965 loss: 1.6965 2022/08/03 16:40:03 - mmengine - INFO - Epoch(train) [34][20/1879] lr: 1.0000e-02 eta: 2 days, 1:50:35 time: 0.5627 data_time: 0.1201 memory: 17087 grad_norm: 4.6744 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6443 loss: 1.6443 2022/08/03 16:40:12 - mmengine - INFO - Epoch(train) [34][40/1879] lr: 1.0000e-02 eta: 2 days, 1:50:28 time: 0.4397 data_time: 0.0173 memory: 17087 grad_norm: 4.6427 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6320 loss: 1.6320 2022/08/03 16:40:21 - mmengine - INFO - Epoch(train) [34][60/1879] lr: 1.0000e-02 eta: 2 days, 1:50:19 time: 0.4299 data_time: 0.0192 memory: 17087 grad_norm: 4.9261 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8156 loss: 1.8156 2022/08/03 16:40:30 - mmengine - INFO - Epoch(train) [34][80/1879] lr: 1.0000e-02 eta: 2 days, 1:50:15 time: 0.4588 data_time: 0.0157 memory: 17087 grad_norm: 4.8344 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8231 loss: 1.8231 2022/08/03 16:40:38 - mmengine - INFO - Epoch(train) [34][100/1879] lr: 1.0000e-02 eta: 2 days, 1:50:06 time: 0.4252 data_time: 0.0143 memory: 17087 grad_norm: 4.8875 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5942 loss: 1.5942 2022/08/03 16:40:47 - mmengine - INFO - Epoch(train) [34][120/1879] lr: 1.0000e-02 eta: 2 days, 1:50:00 time: 0.4442 data_time: 0.0171 memory: 17087 grad_norm: 4.7817 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5381 loss: 1.5381 2022/08/03 16:40:56 - mmengine - INFO - Epoch(train) [34][140/1879] lr: 1.0000e-02 eta: 2 days, 1:49:50 time: 0.4229 data_time: 0.0136 memory: 17087 grad_norm: 4.7790 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5881 loss: 1.5881 2022/08/03 16:41:04 - mmengine - INFO - Epoch(train) [34][160/1879] lr: 1.0000e-02 eta: 2 days, 1:49:41 time: 0.4259 data_time: 0.0162 memory: 17087 grad_norm: 4.8446 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7070 loss: 1.7070 2022/08/03 16:41:13 - mmengine - INFO - Epoch(train) [34][180/1879] lr: 1.0000e-02 eta: 2 days, 1:49:33 time: 0.4318 data_time: 0.0205 memory: 17087 grad_norm: 4.8656 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6972 loss: 1.6972 2022/08/03 16:41:22 - mmengine - INFO - Epoch(train) [34][200/1879] lr: 1.0000e-02 eta: 2 days, 1:49:27 time: 0.4467 data_time: 0.0190 memory: 17087 grad_norm: 4.8106 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7505 loss: 1.7505 2022/08/03 16:41:30 - mmengine - INFO - Epoch(train) [34][220/1879] lr: 1.0000e-02 eta: 2 days, 1:49:18 time: 0.4248 data_time: 0.0144 memory: 17087 grad_norm: 4.7999 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7136 loss: 1.7136 2022/08/03 16:41:39 - mmengine - INFO - Epoch(train) [34][240/1879] lr: 1.0000e-02 eta: 2 days, 1:49:11 time: 0.4349 data_time: 0.0149 memory: 17087 grad_norm: 5.0007 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7122 loss: 1.7122 2022/08/03 16:41:48 - mmengine - INFO - Epoch(train) [34][260/1879] lr: 1.0000e-02 eta: 2 days, 1:49:02 time: 0.4314 data_time: 0.0153 memory: 17087 grad_norm: 4.8413 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6394 loss: 1.6394 2022/08/03 16:41:56 - mmengine - INFO - Epoch(train) [34][280/1879] lr: 1.0000e-02 eta: 2 days, 1:48:53 time: 0.4246 data_time: 0.0150 memory: 17087 grad_norm: 4.8190 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6995 loss: 1.6995 2022/08/03 16:42:05 - mmengine - INFO - Epoch(train) [34][300/1879] lr: 1.0000e-02 eta: 2 days, 1:48:47 time: 0.4429 data_time: 0.0141 memory: 17087 grad_norm: 4.7468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8368 loss: 1.8368 2022/08/03 16:42:14 - mmengine - INFO - Epoch(train) [34][320/1879] lr: 1.0000e-02 eta: 2 days, 1:48:38 time: 0.4281 data_time: 0.0157 memory: 17087 grad_norm: 4.6533 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6484 loss: 1.6484 2022/08/03 16:42:22 - mmengine - INFO - Epoch(train) [34][340/1879] lr: 1.0000e-02 eta: 2 days, 1:48:30 time: 0.4325 data_time: 0.0171 memory: 17087 grad_norm: 4.6845 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7351 loss: 1.7351 2022/08/03 16:42:31 - mmengine - INFO - Epoch(train) [34][360/1879] lr: 1.0000e-02 eta: 2 days, 1:48:21 time: 0.4257 data_time: 0.0152 memory: 17087 grad_norm: 4.9471 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6821 loss: 1.6821 2022/08/03 16:42:39 - mmengine - INFO - Epoch(train) [34][380/1879] lr: 1.0000e-02 eta: 2 days, 1:48:12 time: 0.4251 data_time: 0.0142 memory: 17087 grad_norm: 4.7453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3997 loss: 1.3997 2022/08/03 16:42:48 - mmengine - INFO - Epoch(train) [34][400/1879] lr: 1.0000e-02 eta: 2 days, 1:48:04 time: 0.4290 data_time: 0.0160 memory: 17087 grad_norm: 4.7726 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6397 loss: 1.6397 2022/08/03 16:42:56 - mmengine - INFO - Epoch(train) [34][420/1879] lr: 1.0000e-02 eta: 2 days, 1:47:54 time: 0.4226 data_time: 0.0138 memory: 17087 grad_norm: 4.7496 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6755 loss: 1.6755 2022/08/03 16:43:05 - mmengine - INFO - Epoch(train) [34][440/1879] lr: 1.0000e-02 eta: 2 days, 1:47:46 time: 0.4306 data_time: 0.0171 memory: 17087 grad_norm: 4.8756 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.7774 loss: 1.7774 2022/08/03 16:43:14 - mmengine - INFO - Epoch(train) [34][460/1879] lr: 1.0000e-02 eta: 2 days, 1:47:38 time: 0.4281 data_time: 0.0160 memory: 17087 grad_norm: 4.6899 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4791 loss: 1.4791 2022/08/03 16:43:22 - mmengine - INFO - Epoch(train) [34][480/1879] lr: 1.0000e-02 eta: 2 days, 1:47:30 time: 0.4369 data_time: 0.0153 memory: 17087 grad_norm: 4.8147 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5147 loss: 1.5147 2022/08/03 16:43:31 - mmengine - INFO - Epoch(train) [34][500/1879] lr: 1.0000e-02 eta: 2 days, 1:47:22 time: 0.4282 data_time: 0.0149 memory: 17087 grad_norm: 4.7022 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8347 loss: 1.8347 2022/08/03 16:43:39 - mmengine - INFO - Epoch(train) [34][520/1879] lr: 1.0000e-02 eta: 2 days, 1:47:13 time: 0.4243 data_time: 0.0155 memory: 17087 grad_norm: 4.8362 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7334 loss: 1.7334 2022/08/03 16:43:48 - mmengine - INFO - Epoch(train) [34][540/1879] lr: 1.0000e-02 eta: 2 days, 1:47:07 time: 0.4477 data_time: 0.0158 memory: 17087 grad_norm: 4.8783 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7961 loss: 1.7961 2022/08/03 16:43:57 - mmengine - INFO - Epoch(train) [34][560/1879] lr: 1.0000e-02 eta: 2 days, 1:46:57 time: 0.4236 data_time: 0.0146 memory: 17087 grad_norm: 4.7710 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8198 loss: 1.8198 2022/08/03 16:44:05 - mmengine - INFO - Epoch(train) [34][580/1879] lr: 1.0000e-02 eta: 2 days, 1:46:49 time: 0.4275 data_time: 0.0187 memory: 17087 grad_norm: 4.8495 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7088 loss: 1.7088 2022/08/03 16:44:14 - mmengine - INFO - Epoch(train) [34][600/1879] lr: 1.0000e-02 eta: 2 days, 1:46:44 time: 0.4537 data_time: 0.0176 memory: 17087 grad_norm: 4.8615 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7406 loss: 1.7406 2022/08/03 16:44:23 - mmengine - INFO - Epoch(train) [34][620/1879] lr: 1.0000e-02 eta: 2 days, 1:46:35 time: 0.4272 data_time: 0.0179 memory: 17087 grad_norm: 4.9446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4678 loss: 1.4678 2022/08/03 16:44:32 - mmengine - INFO - Epoch(train) [34][640/1879] lr: 1.0000e-02 eta: 2 days, 1:46:26 time: 0.4295 data_time: 0.0163 memory: 17087 grad_norm: 4.6752 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7043 loss: 1.7043 2022/08/03 16:44:40 - mmengine - INFO - Epoch(train) [34][660/1879] lr: 1.0000e-02 eta: 2 days, 1:46:17 time: 0.4253 data_time: 0.0146 memory: 17087 grad_norm: 4.7998 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5740 loss: 1.5740 2022/08/03 16:44:49 - mmengine - INFO - Epoch(train) [34][680/1879] lr: 1.0000e-02 eta: 2 days, 1:46:09 time: 0.4286 data_time: 0.0155 memory: 17087 grad_norm: 4.8522 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6190 loss: 1.6190 2022/08/03 16:44:57 - mmengine - INFO - Epoch(train) [34][700/1879] lr: 1.0000e-02 eta: 2 days, 1:46:00 time: 0.4244 data_time: 0.0148 memory: 17087 grad_norm: 4.9449 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7384 loss: 1.7384 2022/08/03 16:45:06 - mmengine - INFO - Epoch(train) [34][720/1879] lr: 1.0000e-02 eta: 2 days, 1:45:51 time: 0.4254 data_time: 0.0153 memory: 17087 grad_norm: 4.7264 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8466 loss: 1.8466 2022/08/03 16:45:15 - mmengine - INFO - Epoch(train) [34][740/1879] lr: 1.0000e-02 eta: 2 days, 1:45:45 time: 0.4448 data_time: 0.0133 memory: 17087 grad_norm: 4.7591 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7245 loss: 1.7245 2022/08/03 16:45:23 - mmengine - INFO - Epoch(train) [34][760/1879] lr: 1.0000e-02 eta: 2 days, 1:45:36 time: 0.4277 data_time: 0.0162 memory: 17087 grad_norm: 4.7692 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7186 loss: 1.7186 2022/08/03 16:45:32 - mmengine - INFO - Epoch(train) [34][780/1879] lr: 1.0000e-02 eta: 2 days, 1:45:28 time: 0.4372 data_time: 0.0167 memory: 17087 grad_norm: 4.8334 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6311 loss: 1.6311 2022/08/03 16:45:40 - mmengine - INFO - Epoch(train) [34][800/1879] lr: 1.0000e-02 eta: 2 days, 1:45:20 time: 0.4266 data_time: 0.0165 memory: 17087 grad_norm: 4.7999 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8602 loss: 1.8602 2022/08/03 16:45:49 - mmengine - INFO - Epoch(train) [34][820/1879] lr: 1.0000e-02 eta: 2 days, 1:45:12 time: 0.4350 data_time: 0.0159 memory: 17087 grad_norm: 4.8809 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7616 loss: 1.7616 2022/08/03 16:45:58 - mmengine - INFO - Epoch(train) [34][840/1879] lr: 1.0000e-02 eta: 2 days, 1:45:03 time: 0.4275 data_time: 0.0170 memory: 17087 grad_norm: 4.8234 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8415 loss: 1.8415 2022/08/03 16:46:06 - mmengine - INFO - Epoch(train) [34][860/1879] lr: 1.0000e-02 eta: 2 days, 1:44:54 time: 0.4230 data_time: 0.0142 memory: 17087 grad_norm: 4.8506 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7150 loss: 1.7150 2022/08/03 16:46:15 - mmengine - INFO - Epoch(train) [34][880/1879] lr: 1.0000e-02 eta: 2 days, 1:44:46 time: 0.4308 data_time: 0.0153 memory: 17087 grad_norm: 4.8438 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6932 loss: 1.6932 2022/08/03 16:46:23 - mmengine - INFO - Epoch(train) [34][900/1879] lr: 1.0000e-02 eta: 2 days, 1:44:37 time: 0.4245 data_time: 0.0144 memory: 17087 grad_norm: 4.9350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6584 loss: 1.6584 2022/08/03 16:46:32 - mmengine - INFO - Epoch(train) [34][920/1879] lr: 1.0000e-02 eta: 2 days, 1:44:28 time: 0.4289 data_time: 0.0161 memory: 17087 grad_norm: 4.6763 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7697 loss: 1.7697 2022/08/03 16:46:41 - mmengine - INFO - Epoch(train) [34][940/1879] lr: 1.0000e-02 eta: 2 days, 1:44:23 time: 0.4515 data_time: 0.0152 memory: 17087 grad_norm: 4.8010 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5714 loss: 1.5714 2022/08/03 16:46:50 - mmengine - INFO - Epoch(train) [34][960/1879] lr: 1.0000e-02 eta: 2 days, 1:44:14 time: 0.4243 data_time: 0.0157 memory: 17087 grad_norm: 4.8834 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8883 loss: 1.8883 2022/08/03 16:46:58 - mmengine - INFO - Epoch(train) [34][980/1879] lr: 1.0000e-02 eta: 2 days, 1:44:09 time: 0.4540 data_time: 0.0177 memory: 17087 grad_norm: 4.7333 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6446 loss: 1.6446 2022/08/03 16:47:04 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:47:07 - mmengine - INFO - Epoch(train) [34][1000/1879] lr: 1.0000e-02 eta: 2 days, 1:44:00 time: 0.4271 data_time: 0.0152 memory: 17087 grad_norm: 4.7355 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5693 loss: 1.5693 2022/08/03 16:47:16 - mmengine - INFO - Epoch(train) [34][1020/1879] lr: 1.0000e-02 eta: 2 days, 1:43:51 time: 0.4242 data_time: 0.0144 memory: 17087 grad_norm: 4.9128 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7852 loss: 1.7852 2022/08/03 16:47:25 - mmengine - INFO - Epoch(train) [34][1040/1879] lr: 1.0000e-02 eta: 2 days, 1:43:45 time: 0.4515 data_time: 0.0157 memory: 17087 grad_norm: 5.0195 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7150 loss: 1.7150 2022/08/03 16:47:33 - mmengine - INFO - Epoch(train) [34][1060/1879] lr: 1.0000e-02 eta: 2 days, 1:43:37 time: 0.4305 data_time: 0.0192 memory: 17087 grad_norm: 4.8697 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6416 loss: 1.6416 2022/08/03 16:47:42 - mmengine - INFO - Epoch(train) [34][1080/1879] lr: 1.0000e-02 eta: 2 days, 1:43:31 time: 0.4480 data_time: 0.0153 memory: 17087 grad_norm: 4.8483 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7587 loss: 1.7587 2022/08/03 16:47:51 - mmengine - INFO - Epoch(train) [34][1100/1879] lr: 1.0000e-02 eta: 2 days, 1:43:22 time: 0.4278 data_time: 0.0185 memory: 17087 grad_norm: 4.7940 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6134 loss: 1.6134 2022/08/03 16:47:59 - mmengine - INFO - Epoch(train) [34][1120/1879] lr: 1.0000e-02 eta: 2 days, 1:43:13 time: 0.4246 data_time: 0.0157 memory: 17087 grad_norm: 4.7785 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8340 loss: 1.8340 2022/08/03 16:48:08 - mmengine - INFO - Epoch(train) [34][1140/1879] lr: 1.0000e-02 eta: 2 days, 1:43:09 time: 0.4643 data_time: 0.0183 memory: 17087 grad_norm: 4.8544 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7483 loss: 1.7483 2022/08/03 16:48:17 - mmengine - INFO - Epoch(train) [34][1160/1879] lr: 1.0000e-02 eta: 2 days, 1:43:00 time: 0.4240 data_time: 0.0143 memory: 17087 grad_norm: 4.7204 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6674 loss: 1.6674 2022/08/03 16:48:26 - mmengine - INFO - Epoch(train) [34][1180/1879] lr: 1.0000e-02 eta: 2 days, 1:42:52 time: 0.4285 data_time: 0.0192 memory: 17087 grad_norm: 4.8691 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6772 loss: 1.6772 2022/08/03 16:48:34 - mmengine - INFO - Epoch(train) [34][1200/1879] lr: 1.0000e-02 eta: 2 days, 1:42:44 time: 0.4350 data_time: 0.0159 memory: 17087 grad_norm: 4.8371 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6005 loss: 1.6005 2022/08/03 16:48:43 - mmengine - INFO - Epoch(train) [34][1220/1879] lr: 1.0000e-02 eta: 2 days, 1:42:35 time: 0.4244 data_time: 0.0155 memory: 17087 grad_norm: 4.8128 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5655 loss: 1.5655 2022/08/03 16:48:51 - mmengine - INFO - Epoch(train) [34][1240/1879] lr: 1.0000e-02 eta: 2 days, 1:42:27 time: 0.4310 data_time: 0.0155 memory: 17087 grad_norm: 4.8751 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8226 loss: 1.8226 2022/08/03 16:49:00 - mmengine - INFO - Epoch(train) [34][1260/1879] lr: 1.0000e-02 eta: 2 days, 1:42:18 time: 0.4239 data_time: 0.0143 memory: 17087 grad_norm: 4.7149 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5575 loss: 1.5575 2022/08/03 16:49:09 - mmengine - INFO - Epoch(train) [34][1280/1879] lr: 1.0000e-02 eta: 2 days, 1:42:11 time: 0.4398 data_time: 0.0192 memory: 17087 grad_norm: 4.7979 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8894 loss: 1.8894 2022/08/03 16:49:17 - mmengine - INFO - Epoch(train) [34][1300/1879] lr: 1.0000e-02 eta: 2 days, 1:42:02 time: 0.4245 data_time: 0.0141 memory: 17087 grad_norm: 4.7534 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7554 loss: 1.7554 2022/08/03 16:49:26 - mmengine - INFO - Epoch(train) [34][1320/1879] lr: 1.0000e-02 eta: 2 days, 1:41:52 time: 0.4233 data_time: 0.0155 memory: 17087 grad_norm: 4.9385 top1_acc: 0.3125 top5_acc: 0.9375 loss_cls: 1.7031 loss: 1.7031 2022/08/03 16:49:34 - mmengine - INFO - Epoch(train) [34][1340/1879] lr: 1.0000e-02 eta: 2 days, 1:41:43 time: 0.4261 data_time: 0.0149 memory: 17087 grad_norm: 4.8903 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5563 loss: 1.5563 2022/08/03 16:49:43 - mmengine - INFO - Epoch(train) [34][1360/1879] lr: 1.0000e-02 eta: 2 days, 1:41:34 time: 0.4229 data_time: 0.0151 memory: 17087 grad_norm: 4.9601 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8582 loss: 1.8582 2022/08/03 16:49:51 - mmengine - INFO - Epoch(train) [34][1380/1879] lr: 1.0000e-02 eta: 2 days, 1:41:27 time: 0.4398 data_time: 0.0157 memory: 17087 grad_norm: 4.9511 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6469 loss: 1.6469 2022/08/03 16:50:00 - mmengine - INFO - Epoch(train) [34][1400/1879] lr: 1.0000e-02 eta: 2 days, 1:41:18 time: 0.4257 data_time: 0.0161 memory: 17087 grad_norm: 4.7806 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6097 loss: 1.6097 2022/08/03 16:50:09 - mmengine - INFO - Epoch(train) [34][1420/1879] lr: 1.0000e-02 eta: 2 days, 1:41:10 time: 0.4319 data_time: 0.0148 memory: 17087 grad_norm: 4.9776 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6808 loss: 1.6808 2022/08/03 16:50:17 - mmengine - INFO - Epoch(train) [34][1440/1879] lr: 1.0000e-02 eta: 2 days, 1:41:01 time: 0.4264 data_time: 0.0160 memory: 17087 grad_norm: 4.9690 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7853 loss: 1.7853 2022/08/03 16:50:26 - mmengine - INFO - Epoch(train) [34][1460/1879] lr: 1.0000e-02 eta: 2 days, 1:40:52 time: 0.4250 data_time: 0.0153 memory: 17087 grad_norm: 4.8350 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6790 loss: 1.6790 2022/08/03 16:50:35 - mmengine - INFO - Epoch(train) [34][1480/1879] lr: 1.0000e-02 eta: 2 days, 1:40:48 time: 0.4587 data_time: 0.0154 memory: 17087 grad_norm: 4.9116 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.9539 loss: 1.9539 2022/08/03 16:50:43 - mmengine - INFO - Epoch(train) [34][1500/1879] lr: 1.0000e-02 eta: 2 days, 1:40:39 time: 0.4297 data_time: 0.0201 memory: 17087 grad_norm: 4.7212 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6686 loss: 1.6686 2022/08/03 16:50:52 - mmengine - INFO - Epoch(train) [34][1520/1879] lr: 1.0000e-02 eta: 2 days, 1:40:31 time: 0.4293 data_time: 0.0149 memory: 17087 grad_norm: 4.9202 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7160 loss: 1.7160 2022/08/03 16:51:00 - mmengine - INFO - Epoch(train) [34][1540/1879] lr: 1.0000e-02 eta: 2 days, 1:40:22 time: 0.4256 data_time: 0.0149 memory: 17087 grad_norm: 5.0271 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5807 loss: 1.5807 2022/08/03 16:51:10 - mmengine - INFO - Epoch(train) [34][1560/1879] lr: 1.0000e-02 eta: 2 days, 1:40:16 time: 0.4516 data_time: 0.0173 memory: 17087 grad_norm: 4.8328 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7813 loss: 1.7813 2022/08/03 16:51:18 - mmengine - INFO - Epoch(train) [34][1580/1879] lr: 1.0000e-02 eta: 2 days, 1:40:08 time: 0.4301 data_time: 0.0207 memory: 17087 grad_norm: 4.8283 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5855 loss: 1.5855 2022/08/03 16:51:27 - mmengine - INFO - Epoch(train) [34][1600/1879] lr: 1.0000e-02 eta: 2 days, 1:39:59 time: 0.4241 data_time: 0.0151 memory: 17087 grad_norm: 4.9106 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8502 loss: 1.8502 2022/08/03 16:51:35 - mmengine - INFO - Epoch(train) [34][1620/1879] lr: 1.0000e-02 eta: 2 days, 1:39:51 time: 0.4295 data_time: 0.0146 memory: 17087 grad_norm: 4.8798 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8200 loss: 1.8200 2022/08/03 16:51:44 - mmengine - INFO - Epoch(train) [34][1640/1879] lr: 1.0000e-02 eta: 2 days, 1:39:42 time: 0.4256 data_time: 0.0152 memory: 17087 grad_norm: 4.8261 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6449 loss: 1.6449 2022/08/03 16:51:52 - mmengine - INFO - Epoch(train) [34][1660/1879] lr: 1.0000e-02 eta: 2 days, 1:39:33 time: 0.4305 data_time: 0.0161 memory: 17087 grad_norm: 4.8805 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7585 loss: 1.7585 2022/08/03 16:52:01 - mmengine - INFO - Epoch(train) [34][1680/1879] lr: 1.0000e-02 eta: 2 days, 1:39:24 time: 0.4264 data_time: 0.0180 memory: 17087 grad_norm: 4.8707 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7322 loss: 1.7322 2022/08/03 16:52:10 - mmengine - INFO - Epoch(train) [34][1700/1879] lr: 1.0000e-02 eta: 2 days, 1:39:19 time: 0.4533 data_time: 0.0142 memory: 17087 grad_norm: 4.9188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6525 loss: 1.6525 2022/08/03 16:52:19 - mmengine - INFO - Epoch(train) [34][1720/1879] lr: 1.0000e-02 eta: 2 days, 1:39:11 time: 0.4282 data_time: 0.0148 memory: 17087 grad_norm: 4.6869 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8006 loss: 1.8006 2022/08/03 16:52:27 - mmengine - INFO - Epoch(train) [34][1740/1879] lr: 1.0000e-02 eta: 2 days, 1:39:03 time: 0.4376 data_time: 0.0159 memory: 17087 grad_norm: 4.8209 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6397 loss: 1.6397 2022/08/03 16:52:36 - mmengine - INFO - Epoch(train) [34][1760/1879] lr: 1.0000e-02 eta: 2 days, 1:38:54 time: 0.4244 data_time: 0.0148 memory: 17087 grad_norm: 4.7854 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8328 loss: 1.8328 2022/08/03 16:52:45 - mmengine - INFO - Epoch(train) [34][1780/1879] lr: 1.0000e-02 eta: 2 days, 1:38:47 time: 0.4427 data_time: 0.0175 memory: 17087 grad_norm: 5.0200 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8085 loss: 1.8085 2022/08/03 16:52:53 - mmengine - INFO - Epoch(train) [34][1800/1879] lr: 1.0000e-02 eta: 2 days, 1:38:39 time: 0.4315 data_time: 0.0195 memory: 17087 grad_norm: 4.9991 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.7255 loss: 1.7255 2022/08/03 16:53:02 - mmengine - INFO - Epoch(train) [34][1820/1879] lr: 1.0000e-02 eta: 2 days, 1:38:33 time: 0.4449 data_time: 0.0149 memory: 17087 grad_norm: 4.7489 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6069 loss: 1.6069 2022/08/03 16:53:11 - mmengine - INFO - Epoch(train) [34][1840/1879] lr: 1.0000e-02 eta: 2 days, 1:38:25 time: 0.4334 data_time: 0.0202 memory: 17087 grad_norm: 4.8275 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8310 loss: 1.8310 2022/08/03 16:53:20 - mmengine - INFO - Epoch(train) [34][1860/1879] lr: 1.0000e-02 eta: 2 days, 1:38:18 time: 0.4427 data_time: 0.0146 memory: 17087 grad_norm: 4.9246 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7767 loss: 1.7767 2022/08/03 16:53:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:53:27 - mmengine - INFO - Epoch(train) [34][1879/1879] lr: 1.0000e-02 eta: 2 days, 1:38:18 time: 0.4066 data_time: 0.0141 memory: 17087 grad_norm: 5.0033 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.7316 loss: 1.7316 2022/08/03 16:53:39 - mmengine - INFO - Epoch(train) [35][20/1879] lr: 1.0000e-02 eta: 2 days, 1:37:25 time: 0.5582 data_time: 0.1238 memory: 17087 grad_norm: 4.7516 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6426 loss: 1.6426 2022/08/03 16:53:47 - mmengine - INFO - Epoch(train) [35][40/1879] lr: 1.0000e-02 eta: 2 days, 1:37:16 time: 0.4249 data_time: 0.0152 memory: 17087 grad_norm: 4.7650 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6733 loss: 1.6733 2022/08/03 16:53:56 - mmengine - INFO - Epoch(train) [35][60/1879] lr: 1.0000e-02 eta: 2 days, 1:37:08 time: 0.4282 data_time: 0.0146 memory: 17087 grad_norm: 4.8430 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7986 loss: 1.7986 2022/08/03 16:54:05 - mmengine - INFO - Epoch(train) [35][80/1879] lr: 1.0000e-02 eta: 2 days, 1:37:02 time: 0.4474 data_time: 0.0170 memory: 17087 grad_norm: 4.7647 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6079 loss: 1.6079 2022/08/03 16:54:13 - mmengine - INFO - Epoch(train) [35][100/1879] lr: 1.0000e-02 eta: 2 days, 1:36:53 time: 0.4247 data_time: 0.0152 memory: 17087 grad_norm: 4.8029 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6413 loss: 1.6413 2022/08/03 16:54:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:54:22 - mmengine - INFO - Epoch(train) [35][120/1879] lr: 1.0000e-02 eta: 2 days, 1:36:44 time: 0.4275 data_time: 0.0170 memory: 17087 grad_norm: 4.8702 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5904 loss: 1.5904 2022/08/03 16:54:30 - mmengine - INFO - Epoch(train) [35][140/1879] lr: 1.0000e-02 eta: 2 days, 1:36:35 time: 0.4248 data_time: 0.0160 memory: 17087 grad_norm: 4.7745 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7491 loss: 1.7491 2022/08/03 16:54:39 - mmengine - INFO - Epoch(train) [35][160/1879] lr: 1.0000e-02 eta: 2 days, 1:36:27 time: 0.4315 data_time: 0.0159 memory: 17087 grad_norm: 4.8517 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8003 loss: 1.8003 2022/08/03 16:54:47 - mmengine - INFO - Epoch(train) [35][180/1879] lr: 1.0000e-02 eta: 2 days, 1:36:18 time: 0.4230 data_time: 0.0151 memory: 17087 grad_norm: 4.7730 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6494 loss: 1.6494 2022/08/03 16:54:56 - mmengine - INFO - Epoch(train) [35][200/1879] lr: 1.0000e-02 eta: 2 days, 1:36:09 time: 0.4255 data_time: 0.0152 memory: 17087 grad_norm: 4.7368 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9604 loss: 1.9604 2022/08/03 16:55:05 - mmengine - INFO - Epoch(train) [35][220/1879] lr: 1.0000e-02 eta: 2 days, 1:36:01 time: 0.4349 data_time: 0.0149 memory: 17087 grad_norm: 4.8803 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8031 loss: 1.8031 2022/08/03 16:55:13 - mmengine - INFO - Epoch(train) [35][240/1879] lr: 1.0000e-02 eta: 2 days, 1:35:53 time: 0.4291 data_time: 0.0194 memory: 17087 grad_norm: 4.7597 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5719 loss: 1.5719 2022/08/03 16:55:22 - mmengine - INFO - Epoch(train) [35][260/1879] lr: 1.0000e-02 eta: 2 days, 1:35:47 time: 0.4481 data_time: 0.0149 memory: 17087 grad_norm: 4.8096 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5262 loss: 1.5262 2022/08/03 16:55:31 - mmengine - INFO - Epoch(train) [35][280/1879] lr: 1.0000e-02 eta: 2 days, 1:35:38 time: 0.4252 data_time: 0.0147 memory: 17087 grad_norm: 4.8105 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 1.8311 loss: 1.8311 2022/08/03 16:55:40 - mmengine - INFO - Epoch(train) [35][300/1879] lr: 1.0000e-02 eta: 2 days, 1:35:32 time: 0.4503 data_time: 0.0173 memory: 17087 grad_norm: 4.9469 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7245 loss: 1.7245 2022/08/03 16:55:48 - mmengine - INFO - Epoch(train) [35][320/1879] lr: 1.0000e-02 eta: 2 days, 1:35:23 time: 0.4252 data_time: 0.0149 memory: 17087 grad_norm: 4.8279 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5576 loss: 1.5576 2022/08/03 16:55:57 - mmengine - INFO - Epoch(train) [35][340/1879] lr: 1.0000e-02 eta: 2 days, 1:35:14 time: 0.4285 data_time: 0.0182 memory: 17087 grad_norm: 4.8434 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4843 loss: 1.4843 2022/08/03 16:56:05 - mmengine - INFO - Epoch(train) [35][360/1879] lr: 1.0000e-02 eta: 2 days, 1:35:06 time: 0.4262 data_time: 0.0156 memory: 17087 grad_norm: 4.8615 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7563 loss: 1.7563 2022/08/03 16:56:14 - mmengine - INFO - Epoch(train) [35][380/1879] lr: 1.0000e-02 eta: 2 days, 1:34:57 time: 0.4258 data_time: 0.0135 memory: 17087 grad_norm: 4.7158 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7351 loss: 1.7351 2022/08/03 16:56:22 - mmengine - INFO - Epoch(train) [35][400/1879] lr: 1.0000e-02 eta: 2 days, 1:34:48 time: 0.4302 data_time: 0.0190 memory: 17087 grad_norm: 4.8497 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7377 loss: 1.7377 2022/08/03 16:56:31 - mmengine - INFO - Epoch(train) [35][420/1879] lr: 1.0000e-02 eta: 2 days, 1:34:40 time: 0.4265 data_time: 0.0159 memory: 17087 grad_norm: 4.8868 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7116 loss: 1.7116 2022/08/03 16:56:40 - mmengine - INFO - Epoch(train) [35][440/1879] lr: 1.0000e-02 eta: 2 days, 1:34:34 time: 0.4507 data_time: 0.0183 memory: 17087 grad_norm: 4.7480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8914 loss: 1.8914 2022/08/03 16:56:48 - mmengine - INFO - Epoch(train) [35][460/1879] lr: 1.0000e-02 eta: 2 days, 1:34:25 time: 0.4239 data_time: 0.0121 memory: 17087 grad_norm: 4.8328 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8314 loss: 1.8314 2022/08/03 16:56:57 - mmengine - INFO - Epoch(train) [35][480/1879] lr: 1.0000e-02 eta: 2 days, 1:34:17 time: 0.4311 data_time: 0.0230 memory: 17087 grad_norm: 4.9026 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7158 loss: 1.7158 2022/08/03 16:57:06 - mmengine - INFO - Epoch(train) [35][500/1879] lr: 1.0000e-02 eta: 2 days, 1:34:08 time: 0.4306 data_time: 0.0148 memory: 17087 grad_norm: 4.8187 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5811 loss: 1.5811 2022/08/03 16:57:14 - mmengine - INFO - Epoch(train) [35][520/1879] lr: 1.0000e-02 eta: 2 days, 1:34:00 time: 0.4294 data_time: 0.0170 memory: 17087 grad_norm: 4.7724 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.7653 loss: 1.7653 2022/08/03 16:57:23 - mmengine - INFO - Epoch(train) [35][540/1879] lr: 1.0000e-02 eta: 2 days, 1:33:52 time: 0.4341 data_time: 0.0152 memory: 17087 grad_norm: 4.8253 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8323 loss: 1.8323 2022/08/03 16:57:31 - mmengine - INFO - Epoch(train) [35][560/1879] lr: 1.0000e-02 eta: 2 days, 1:33:43 time: 0.4271 data_time: 0.0164 memory: 17087 grad_norm: 4.9032 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4744 loss: 1.4744 2022/08/03 16:57:41 - mmengine - INFO - Epoch(train) [35][580/1879] lr: 1.0000e-02 eta: 2 days, 1:33:39 time: 0.4587 data_time: 0.0172 memory: 17087 grad_norm: 4.8992 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4078 loss: 1.4078 2022/08/03 16:57:49 - mmengine - INFO - Epoch(train) [35][600/1879] lr: 1.0000e-02 eta: 2 days, 1:33:30 time: 0.4316 data_time: 0.0199 memory: 17087 grad_norm: 4.8833 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7511 loss: 1.7511 2022/08/03 16:57:58 - mmengine - INFO - Epoch(train) [35][620/1879] lr: 1.0000e-02 eta: 2 days, 1:33:21 time: 0.4244 data_time: 0.0134 memory: 17087 grad_norm: 4.7382 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7675 loss: 1.7675 2022/08/03 16:58:06 - mmengine - INFO - Epoch(train) [35][640/1879] lr: 1.0000e-02 eta: 2 days, 1:33:13 time: 0.4326 data_time: 0.0186 memory: 17087 grad_norm: 4.9274 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5858 loss: 1.5858 2022/08/03 16:58:15 - mmengine - INFO - Epoch(train) [35][660/1879] lr: 1.0000e-02 eta: 2 days, 1:33:04 time: 0.4256 data_time: 0.0142 memory: 17087 grad_norm: 4.9721 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6070 loss: 1.6070 2022/08/03 16:58:23 - mmengine - INFO - Epoch(train) [35][680/1879] lr: 1.0000e-02 eta: 2 days, 1:32:56 time: 0.4280 data_time: 0.0167 memory: 17087 grad_norm: 4.7495 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5162 loss: 1.5162 2022/08/03 16:58:32 - mmengine - INFO - Epoch(train) [35][700/1879] lr: 1.0000e-02 eta: 2 days, 1:32:46 time: 0.4216 data_time: 0.0128 memory: 17087 grad_norm: 4.7868 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5853 loss: 1.5853 2022/08/03 16:58:41 - mmengine - INFO - Epoch(train) [35][720/1879] lr: 1.0000e-02 eta: 2 days, 1:32:40 time: 0.4473 data_time: 0.0151 memory: 17087 grad_norm: 4.9220 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8239 loss: 1.8239 2022/08/03 16:58:49 - mmengine - INFO - Epoch(train) [35][740/1879] lr: 1.0000e-02 eta: 2 days, 1:32:32 time: 0.4287 data_time: 0.0182 memory: 17087 grad_norm: 4.8553 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9135 loss: 1.9135 2022/08/03 16:58:58 - mmengine - INFO - Epoch(train) [35][760/1879] lr: 1.0000e-02 eta: 2 days, 1:32:23 time: 0.4248 data_time: 0.0169 memory: 17087 grad_norm: 4.8388 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6855 loss: 1.6855 2022/08/03 16:59:07 - mmengine - INFO - Epoch(train) [35][780/1879] lr: 1.0000e-02 eta: 2 days, 1:32:17 time: 0.4480 data_time: 0.0145 memory: 17087 grad_norm: 4.6405 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6284 loss: 1.6284 2022/08/03 16:59:16 - mmengine - INFO - Epoch(train) [35][800/1879] lr: 1.0000e-02 eta: 2 days, 1:32:09 time: 0.4330 data_time: 0.0226 memory: 17087 grad_norm: 4.8254 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5293 loss: 1.5293 2022/08/03 16:59:24 - mmengine - INFO - Epoch(train) [35][820/1879] lr: 1.0000e-02 eta: 2 days, 1:32:02 time: 0.4412 data_time: 0.0141 memory: 17087 grad_norm: 4.9703 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6177 loss: 1.6177 2022/08/03 16:59:33 - mmengine - INFO - Epoch(train) [35][840/1879] lr: 1.0000e-02 eta: 2 days, 1:31:54 time: 0.4313 data_time: 0.0233 memory: 17087 grad_norm: 4.7654 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5924 loss: 1.5924 2022/08/03 16:59:42 - mmengine - INFO - Epoch(train) [35][860/1879] lr: 1.0000e-02 eta: 2 days, 1:31:46 time: 0.4321 data_time: 0.0127 memory: 17087 grad_norm: 4.7921 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5610 loss: 1.5610 2022/08/03 16:59:50 - mmengine - INFO - Epoch(train) [35][880/1879] lr: 1.0000e-02 eta: 2 days, 1:31:38 time: 0.4327 data_time: 0.0210 memory: 17087 grad_norm: 4.9049 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6717 loss: 1.6717 2022/08/03 16:59:59 - mmengine - INFO - Epoch(train) [35][900/1879] lr: 1.0000e-02 eta: 2 days, 1:31:32 time: 0.4537 data_time: 0.0172 memory: 17087 grad_norm: 4.8245 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7660 loss: 1.7660 2022/08/03 17:00:08 - mmengine - INFO - Epoch(train) [35][920/1879] lr: 1.0000e-02 eta: 2 days, 1:31:23 time: 0.4264 data_time: 0.0169 memory: 17087 grad_norm: 4.8563 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7870 loss: 1.7870 2022/08/03 17:00:17 - mmengine - INFO - Epoch(train) [35][940/1879] lr: 1.0000e-02 eta: 2 days, 1:31:15 time: 0.4298 data_time: 0.0215 memory: 17087 grad_norm: 4.6872 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7221 loss: 1.7221 2022/08/03 17:00:25 - mmengine - INFO - Epoch(train) [35][960/1879] lr: 1.0000e-02 eta: 2 days, 1:31:07 time: 0.4306 data_time: 0.0171 memory: 17087 grad_norm: 5.0481 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9195 loss: 1.9195 2022/08/03 17:00:34 - mmengine - INFO - Epoch(train) [35][980/1879] lr: 1.0000e-02 eta: 2 days, 1:30:58 time: 0.4246 data_time: 0.0162 memory: 17087 grad_norm: 4.7828 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8200 loss: 1.8200 2022/08/03 17:00:42 - mmengine - INFO - Epoch(train) [35][1000/1879] lr: 1.0000e-02 eta: 2 days, 1:30:49 time: 0.4279 data_time: 0.0163 memory: 17087 grad_norm: 4.8496 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7226 loss: 1.7226 2022/08/03 17:00:51 - mmengine - INFO - Epoch(train) [35][1020/1879] lr: 1.0000e-02 eta: 2 days, 1:30:40 time: 0.4257 data_time: 0.0152 memory: 17087 grad_norm: 4.7524 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6135 loss: 1.6135 2022/08/03 17:00:59 - mmengine - INFO - Epoch(train) [35][1040/1879] lr: 1.0000e-02 eta: 2 days, 1:30:32 time: 0.4276 data_time: 0.0160 memory: 17087 grad_norm: 4.8339 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7152 loss: 1.7152 2022/08/03 17:01:08 - mmengine - INFO - Epoch(train) [35][1060/1879] lr: 1.0000e-02 eta: 2 days, 1:30:23 time: 0.4260 data_time: 0.0164 memory: 17087 grad_norm: 4.9242 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9039 loss: 1.9039 2022/08/03 17:01:16 - mmengine - INFO - Epoch(train) [35][1080/1879] lr: 1.0000e-02 eta: 2 days, 1:30:14 time: 0.4272 data_time: 0.0168 memory: 17087 grad_norm: 4.8807 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6793 loss: 1.6793 2022/08/03 17:01:25 - mmengine - INFO - Epoch(train) [35][1100/1879] lr: 1.0000e-02 eta: 2 days, 1:30:06 time: 0.4287 data_time: 0.0151 memory: 17087 grad_norm: 4.8877 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6082 loss: 1.6082 2022/08/03 17:01:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:01:33 - mmengine - INFO - Epoch(train) [35][1120/1879] lr: 1.0000e-02 eta: 2 days, 1:29:57 time: 0.4260 data_time: 0.0189 memory: 17087 grad_norm: 4.9399 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6556 loss: 1.6556 2022/08/03 17:01:42 - mmengine - INFO - Epoch(train) [35][1140/1879] lr: 1.0000e-02 eta: 2 days, 1:29:48 time: 0.4264 data_time: 0.0146 memory: 17087 grad_norm: 4.8912 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8023 loss: 1.8023 2022/08/03 17:01:51 - mmengine - INFO - Epoch(train) [35][1160/1879] lr: 1.0000e-02 eta: 2 days, 1:29:39 time: 0.4280 data_time: 0.0166 memory: 17087 grad_norm: 4.8930 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7526 loss: 1.7526 2022/08/03 17:01:59 - mmengine - INFO - Epoch(train) [35][1180/1879] lr: 1.0000e-02 eta: 2 days, 1:29:32 time: 0.4407 data_time: 0.0150 memory: 17087 grad_norm: 4.6332 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6540 loss: 1.6540 2022/08/03 17:02:08 - mmengine - INFO - Epoch(train) [35][1200/1879] lr: 1.0000e-02 eta: 2 days, 1:29:23 time: 0.4244 data_time: 0.0158 memory: 17087 grad_norm: 4.7894 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6424 loss: 1.6424 2022/08/03 17:02:16 - mmengine - INFO - Epoch(train) [35][1220/1879] lr: 1.0000e-02 eta: 2 days, 1:29:14 time: 0.4255 data_time: 0.0147 memory: 17087 grad_norm: 4.8493 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7077 loss: 1.7077 2022/08/03 17:02:25 - mmengine - INFO - Epoch(train) [35][1240/1879] lr: 1.0000e-02 eta: 2 days, 1:29:06 time: 0.4292 data_time: 0.0159 memory: 17087 grad_norm: 4.8794 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7192 loss: 1.7192 2022/08/03 17:02:34 - mmengine - INFO - Epoch(train) [35][1260/1879] lr: 1.0000e-02 eta: 2 days, 1:29:00 time: 0.4476 data_time: 0.0155 memory: 17087 grad_norm: 4.8995 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5651 loss: 1.5651 2022/08/03 17:02:43 - mmengine - INFO - Epoch(train) [35][1280/1879] lr: 1.0000e-02 eta: 2 days, 1:28:51 time: 0.4307 data_time: 0.0163 memory: 17087 grad_norm: 4.7697 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6732 loss: 1.6732 2022/08/03 17:02:51 - mmengine - INFO - Epoch(train) [35][1300/1879] lr: 1.0000e-02 eta: 2 days, 1:28:45 time: 0.4443 data_time: 0.0158 memory: 17087 grad_norm: 4.8131 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5442 loss: 1.5442 2022/08/03 17:03:00 - mmengine - INFO - Epoch(train) [35][1320/1879] lr: 1.0000e-02 eta: 2 days, 1:28:37 time: 0.4323 data_time: 0.0197 memory: 17087 grad_norm: 4.9324 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6283 loss: 1.6283 2022/08/03 17:03:09 - mmengine - INFO - Epoch(train) [35][1340/1879] lr: 1.0000e-02 eta: 2 days, 1:28:28 time: 0.4255 data_time: 0.0162 memory: 17087 grad_norm: 4.8742 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8080 loss: 1.8080 2022/08/03 17:03:17 - mmengine - INFO - Epoch(train) [35][1360/1879] lr: 1.0000e-02 eta: 2 days, 1:28:19 time: 0.4239 data_time: 0.0148 memory: 17087 grad_norm: 4.7222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7059 loss: 1.7059 2022/08/03 17:03:26 - mmengine - INFO - Epoch(train) [35][1380/1879] lr: 1.0000e-02 eta: 2 days, 1:28:10 time: 0.4281 data_time: 0.0157 memory: 17087 grad_norm: 4.9156 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7881 loss: 1.7881 2022/08/03 17:03:34 - mmengine - INFO - Epoch(train) [35][1400/1879] lr: 1.0000e-02 eta: 2 days, 1:28:01 time: 0.4262 data_time: 0.0178 memory: 17087 grad_norm: 4.9079 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6678 loss: 1.6678 2022/08/03 17:03:43 - mmengine - INFO - Epoch(train) [35][1420/1879] lr: 1.0000e-02 eta: 2 days, 1:27:52 time: 0.4245 data_time: 0.0148 memory: 17087 grad_norm: 4.7486 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6219 loss: 1.6219 2022/08/03 17:03:51 - mmengine - INFO - Epoch(train) [35][1440/1879] lr: 1.0000e-02 eta: 2 days, 1:27:43 time: 0.4262 data_time: 0.0153 memory: 17087 grad_norm: 4.7246 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7949 loss: 1.7949 2022/08/03 17:04:00 - mmengine - INFO - Epoch(train) [35][1460/1879] lr: 1.0000e-02 eta: 2 days, 1:27:35 time: 0.4283 data_time: 0.0146 memory: 17087 grad_norm: 4.7928 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6510 loss: 1.6510 2022/08/03 17:04:08 - mmengine - INFO - Epoch(train) [35][1480/1879] lr: 1.0000e-02 eta: 2 days, 1:27:26 time: 0.4239 data_time: 0.0147 memory: 17087 grad_norm: 4.8984 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6145 loss: 1.6145 2022/08/03 17:04:17 - mmengine - INFO - Epoch(train) [35][1500/1879] lr: 1.0000e-02 eta: 2 days, 1:27:17 time: 0.4255 data_time: 0.0152 memory: 17087 grad_norm: 4.9434 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6755 loss: 1.6755 2022/08/03 17:04:25 - mmengine - INFO - Epoch(train) [35][1520/1879] lr: 1.0000e-02 eta: 2 days, 1:27:08 time: 0.4251 data_time: 0.0156 memory: 17087 grad_norm: 4.7624 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8580 loss: 1.8580 2022/08/03 17:04:34 - mmengine - INFO - Epoch(train) [35][1540/1879] lr: 1.0000e-02 eta: 2 days, 1:26:59 time: 0.4262 data_time: 0.0152 memory: 17087 grad_norm: 4.7184 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7374 loss: 1.7374 2022/08/03 17:04:42 - mmengine - INFO - Epoch(train) [35][1560/1879] lr: 1.0000e-02 eta: 2 days, 1:26:50 time: 0.4273 data_time: 0.0156 memory: 17087 grad_norm: 4.8221 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6205 loss: 1.6205 2022/08/03 17:04:51 - mmengine - INFO - Epoch(train) [35][1580/1879] lr: 1.0000e-02 eta: 2 days, 1:26:41 time: 0.4269 data_time: 0.0167 memory: 17087 grad_norm: 4.8782 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8687 loss: 1.8687 2022/08/03 17:05:00 - mmengine - INFO - Epoch(train) [35][1600/1879] lr: 1.0000e-02 eta: 2 days, 1:26:33 time: 0.4287 data_time: 0.0156 memory: 17087 grad_norm: 4.8191 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8193 loss: 1.8193 2022/08/03 17:05:08 - mmengine - INFO - Epoch(train) [35][1620/1879] lr: 1.0000e-02 eta: 2 days, 1:26:24 time: 0.4235 data_time: 0.0150 memory: 17087 grad_norm: 4.8027 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6877 loss: 1.6877 2022/08/03 17:05:16 - mmengine - INFO - Epoch(train) [35][1640/1879] lr: 1.0000e-02 eta: 2 days, 1:26:15 time: 0.4250 data_time: 0.0148 memory: 17087 grad_norm: 4.9196 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7775 loss: 1.7775 2022/08/03 17:05:25 - mmengine - INFO - Epoch(train) [35][1660/1879] lr: 1.0000e-02 eta: 2 days, 1:26:07 time: 0.4372 data_time: 0.0155 memory: 17087 grad_norm: 4.9006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7535 loss: 1.7535 2022/08/03 17:05:34 - mmengine - INFO - Epoch(train) [35][1680/1879] lr: 1.0000e-02 eta: 2 days, 1:25:59 time: 0.4340 data_time: 0.0224 memory: 17087 grad_norm: 4.8820 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7391 loss: 1.7391 2022/08/03 17:05:43 - mmengine - INFO - Epoch(train) [35][1700/1879] lr: 1.0000e-02 eta: 2 days, 1:25:51 time: 0.4296 data_time: 0.0151 memory: 17087 grad_norm: 4.7950 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6118 loss: 1.6118 2022/08/03 17:05:51 - mmengine - INFO - Epoch(train) [35][1720/1879] lr: 1.0000e-02 eta: 2 days, 1:25:44 time: 0.4375 data_time: 0.0190 memory: 17087 grad_norm: 4.8104 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7312 loss: 1.7312 2022/08/03 17:06:00 - mmengine - INFO - Epoch(train) [35][1740/1879] lr: 1.0000e-02 eta: 2 days, 1:25:35 time: 0.4242 data_time: 0.0148 memory: 17087 grad_norm: 4.8072 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7751 loss: 1.7751 2022/08/03 17:06:08 - mmengine - INFO - Epoch(train) [35][1760/1879] lr: 1.0000e-02 eta: 2 days, 1:25:26 time: 0.4269 data_time: 0.0156 memory: 17087 grad_norm: 4.9696 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7718 loss: 1.7718 2022/08/03 17:06:17 - mmengine - INFO - Epoch(train) [35][1780/1879] lr: 1.0000e-02 eta: 2 days, 1:25:17 time: 0.4264 data_time: 0.0150 memory: 17087 grad_norm: 4.8849 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6021 loss: 1.6021 2022/08/03 17:06:25 - mmengine - INFO - Epoch(train) [35][1800/1879] lr: 1.0000e-02 eta: 2 days, 1:25:08 time: 0.4283 data_time: 0.0157 memory: 17087 grad_norm: 4.7100 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5573 loss: 1.5573 2022/08/03 17:06:34 - mmengine - INFO - Epoch(train) [35][1820/1879] lr: 1.0000e-02 eta: 2 days, 1:25:01 time: 0.4398 data_time: 0.0145 memory: 17087 grad_norm: 4.8586 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9390 loss: 1.9390 2022/08/03 17:06:43 - mmengine - INFO - Epoch(train) [35][1840/1879] lr: 1.0000e-02 eta: 2 days, 1:24:53 time: 0.4280 data_time: 0.0150 memory: 17087 grad_norm: 4.8465 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6842 loss: 1.6842 2022/08/03 17:06:51 - mmengine - INFO - Epoch(train) [35][1860/1879] lr: 1.0000e-02 eta: 2 days, 1:24:44 time: 0.4264 data_time: 0.0154 memory: 17087 grad_norm: 4.7644 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7858 loss: 1.7858 2022/08/03 17:06:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:06:59 - mmengine - INFO - Epoch(train) [35][1879/1879] lr: 1.0000e-02 eta: 2 days, 1:24:44 time: 0.4076 data_time: 0.0136 memory: 17087 grad_norm: 4.9651 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.6320 loss: 1.6320 2022/08/03 17:07:07 - mmengine - INFO - Epoch(val) [35][20/155] eta: 0:00:51 time: 0.3836 data_time: 0.2146 memory: 2821 2022/08/03 17:07:12 - mmengine - INFO - Epoch(val) [35][40/155] eta: 0:00:27 time: 0.2401 data_time: 0.0720 memory: 2821 2022/08/03 17:07:18 - mmengine - INFO - Epoch(val) [35][60/155] eta: 0:00:29 time: 0.3130 data_time: 0.1437 memory: 2821 2022/08/03 17:07:23 - mmengine - INFO - Epoch(val) [35][80/155] eta: 0:00:21 time: 0.2813 data_time: 0.1153 memory: 2821 2022/08/03 17:07:30 - mmengine - INFO - Epoch(val) [35][100/155] eta: 0:00:17 time: 0.3123 data_time: 0.1444 memory: 2821 2022/08/03 17:07:36 - mmengine - INFO - Epoch(val) [35][120/155] eta: 0:00:10 time: 0.3108 data_time: 0.1444 memory: 2821 2022/08/03 17:07:42 - mmengine - INFO - Epoch(val) [35][140/155] eta: 0:00:04 time: 0.2802 data_time: 0.1091 memory: 2821 2022/08/03 17:07:46 - mmengine - INFO - Epoch(val) [35][155/155] acc/top1: 0.6491 acc/top5: 0.8601 acc/mean1: 0.6490 2022/08/03 17:07:46 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/best_acc/top1_epoch_31.pth is removed 2022/08/03 17:07:49 - mmengine - INFO - The best checkpoint with 0.6491 acc/top1 at 36 epoch is saved to best_acc/top1_epoch_36.pth. 2022/08/03 17:07:59 - mmengine - INFO - Epoch(train) [36][20/1879] lr: 1.0000e-02 eta: 2 days, 1:23:47 time: 0.5148 data_time: 0.1042 memory: 17087 grad_norm: 4.6767 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4932 loss: 1.4932 2022/08/03 17:08:08 - mmengine - INFO - Epoch(train) [36][40/1879] lr: 1.0000e-02 eta: 2 days, 1:23:38 time: 0.4272 data_time: 0.0178 memory: 17087 grad_norm: 4.7417 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5934 loss: 1.5934 2022/08/03 17:08:16 - mmengine - INFO - Epoch(train) [36][60/1879] lr: 1.0000e-02 eta: 2 days, 1:23:29 time: 0.4258 data_time: 0.0139 memory: 17087 grad_norm: 4.7968 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7507 loss: 1.7507 2022/08/03 17:08:25 - mmengine - INFO - Epoch(train) [36][80/1879] lr: 1.0000e-02 eta: 2 days, 1:23:21 time: 0.4292 data_time: 0.0175 memory: 17087 grad_norm: 4.7713 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.5931 loss: 1.5931 2022/08/03 17:08:33 - mmengine - INFO - Epoch(train) [36][100/1879] lr: 1.0000e-02 eta: 2 days, 1:23:12 time: 0.4244 data_time: 0.0153 memory: 17087 grad_norm: 4.7842 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5138 loss: 1.5138 2022/08/03 17:08:42 - mmengine - INFO - Epoch(train) [36][120/1879] lr: 1.0000e-02 eta: 2 days, 1:23:03 time: 0.4263 data_time: 0.0153 memory: 17087 grad_norm: 4.8649 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4223 loss: 1.4223 2022/08/03 17:08:50 - mmengine - INFO - Epoch(train) [36][140/1879] lr: 1.0000e-02 eta: 2 days, 1:22:54 time: 0.4237 data_time: 0.0146 memory: 17087 grad_norm: 4.9296 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6972 loss: 1.6972 2022/08/03 17:08:59 - mmengine - INFO - Epoch(train) [36][160/1879] lr: 1.0000e-02 eta: 2 days, 1:22:45 time: 0.4249 data_time: 0.0151 memory: 17087 grad_norm: 4.8363 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6898 loss: 1.6898 2022/08/03 17:09:07 - mmengine - INFO - Epoch(train) [36][180/1879] lr: 1.0000e-02 eta: 2 days, 1:22:36 time: 0.4256 data_time: 0.0159 memory: 17087 grad_norm: 4.7943 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7684 loss: 1.7684 2022/08/03 17:09:16 - mmengine - INFO - Epoch(train) [36][200/1879] lr: 1.0000e-02 eta: 2 days, 1:22:27 time: 0.4248 data_time: 0.0153 memory: 17087 grad_norm: 4.8635 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8158 loss: 1.8158 2022/08/03 17:09:25 - mmengine - INFO - Epoch(train) [36][220/1879] lr: 1.0000e-02 eta: 2 days, 1:22:21 time: 0.4483 data_time: 0.0162 memory: 17087 grad_norm: 4.7939 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8120 loss: 1.8120 2022/08/03 17:09:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:09:33 - mmengine - INFO - Epoch(train) [36][240/1879] lr: 1.0000e-02 eta: 2 days, 1:22:12 time: 0.4259 data_time: 0.0155 memory: 17087 grad_norm: 4.7695 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7196 loss: 1.7196 2022/08/03 17:09:42 - mmengine - INFO - Epoch(train) [36][260/1879] lr: 1.0000e-02 eta: 2 days, 1:22:06 time: 0.4454 data_time: 0.0150 memory: 17087 grad_norm: 4.8544 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5776 loss: 1.5776 2022/08/03 17:09:51 - mmengine - INFO - Epoch(train) [36][280/1879] lr: 1.0000e-02 eta: 2 days, 1:21:56 time: 0.4243 data_time: 0.0146 memory: 17087 grad_norm: 4.8888 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7886 loss: 1.7886 2022/08/03 17:09:59 - mmengine - INFO - Epoch(train) [36][300/1879] lr: 1.0000e-02 eta: 2 days, 1:21:47 time: 0.4219 data_time: 0.0136 memory: 17087 grad_norm: 4.7269 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6429 loss: 1.6429 2022/08/03 17:10:08 - mmengine - INFO - Epoch(train) [36][320/1879] lr: 1.0000e-02 eta: 2 days, 1:21:39 time: 0.4304 data_time: 0.0179 memory: 17087 grad_norm: 4.8566 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6136 loss: 1.6136 2022/08/03 17:10:16 - mmengine - INFO - Epoch(train) [36][340/1879] lr: 1.0000e-02 eta: 2 days, 1:21:30 time: 0.4251 data_time: 0.0162 memory: 17087 grad_norm: 4.7976 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6994 loss: 1.6994 2022/08/03 17:10:25 - mmengine - INFO - Epoch(train) [36][360/1879] lr: 1.0000e-02 eta: 2 days, 1:21:23 time: 0.4389 data_time: 0.0156 memory: 17087 grad_norm: 4.8540 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5972 loss: 1.5972 2022/08/03 17:10:34 - mmengine - INFO - Epoch(train) [36][380/1879] lr: 1.0000e-02 eta: 2 days, 1:21:15 time: 0.4333 data_time: 0.0224 memory: 17087 grad_norm: 4.9378 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7939 loss: 1.7939 2022/08/03 17:10:42 - mmengine - INFO - Epoch(train) [36][400/1879] lr: 1.0000e-02 eta: 2 days, 1:21:07 time: 0.4315 data_time: 0.0170 memory: 17087 grad_norm: 4.7042 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6765 loss: 1.6765 2022/08/03 17:10:51 - mmengine - INFO - Epoch(train) [36][420/1879] lr: 1.0000e-02 eta: 2 days, 1:20:57 time: 0.4238 data_time: 0.0157 memory: 17087 grad_norm: 4.9702 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5328 loss: 1.5328 2022/08/03 17:10:59 - mmengine - INFO - Epoch(train) [36][440/1879] lr: 1.0000e-02 eta: 2 days, 1:20:49 time: 0.4262 data_time: 0.0150 memory: 17087 grad_norm: 4.7115 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5864 loss: 1.5864 2022/08/03 17:11:08 - mmengine - INFO - Epoch(train) [36][460/1879] lr: 1.0000e-02 eta: 2 days, 1:20:40 time: 0.4257 data_time: 0.0131 memory: 17087 grad_norm: 4.9058 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6807 loss: 1.6807 2022/08/03 17:11:17 - mmengine - INFO - Epoch(train) [36][480/1879] lr: 1.0000e-02 eta: 2 days, 1:20:32 time: 0.4392 data_time: 0.0158 memory: 17087 grad_norm: 4.8963 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4941 loss: 1.4941 2022/08/03 17:11:25 - mmengine - INFO - Epoch(train) [36][500/1879] lr: 1.0000e-02 eta: 2 days, 1:20:24 time: 0.4282 data_time: 0.0148 memory: 17087 grad_norm: 4.9415 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4480 loss: 1.4480 2022/08/03 17:11:34 - mmengine - INFO - Epoch(train) [36][520/1879] lr: 1.0000e-02 eta: 2 days, 1:20:15 time: 0.4259 data_time: 0.0157 memory: 17087 grad_norm: 4.8898 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5240 loss: 1.5240 2022/08/03 17:11:42 - mmengine - INFO - Epoch(train) [36][540/1879] lr: 1.0000e-02 eta: 2 days, 1:20:07 time: 0.4287 data_time: 0.0156 memory: 17087 grad_norm: 4.7853 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6312 loss: 1.6312 2022/08/03 17:11:51 - mmengine - INFO - Epoch(train) [36][560/1879] lr: 1.0000e-02 eta: 2 days, 1:19:58 time: 0.4300 data_time: 0.0154 memory: 17087 grad_norm: 4.9075 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7575 loss: 1.7575 2022/08/03 17:11:59 - mmengine - INFO - Epoch(train) [36][580/1879] lr: 1.0000e-02 eta: 2 days, 1:19:49 time: 0.4267 data_time: 0.0166 memory: 17087 grad_norm: 4.9083 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7626 loss: 1.7626 2022/08/03 17:12:08 - mmengine - INFO - Epoch(train) [36][600/1879] lr: 1.0000e-02 eta: 2 days, 1:19:40 time: 0.4245 data_time: 0.0161 memory: 17087 grad_norm: 4.9659 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8502 loss: 1.8502 2022/08/03 17:12:17 - mmengine - INFO - Epoch(train) [36][620/1879] lr: 1.0000e-02 eta: 2 days, 1:19:33 time: 0.4376 data_time: 0.0153 memory: 17087 grad_norm: 4.7907 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6204 loss: 1.6204 2022/08/03 17:12:25 - mmengine - INFO - Epoch(train) [36][640/1879] lr: 1.0000e-02 eta: 2 days, 1:19:25 time: 0.4330 data_time: 0.0157 memory: 17087 grad_norm: 4.7464 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4732 loss: 1.4732 2022/08/03 17:12:34 - mmengine - INFO - Epoch(train) [36][660/1879] lr: 1.0000e-02 eta: 2 days, 1:19:16 time: 0.4233 data_time: 0.0153 memory: 17087 grad_norm: 4.7733 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5310 loss: 1.5310 2022/08/03 17:12:42 - mmengine - INFO - Epoch(train) [36][680/1879] lr: 1.0000e-02 eta: 2 days, 1:19:07 time: 0.4254 data_time: 0.0154 memory: 17087 grad_norm: 4.9023 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6142 loss: 1.6142 2022/08/03 17:12:51 - mmengine - INFO - Epoch(train) [36][700/1879] lr: 1.0000e-02 eta: 2 days, 1:19:01 time: 0.4468 data_time: 0.0151 memory: 17087 grad_norm: 4.8543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7736 loss: 1.7736 2022/08/03 17:13:00 - mmengine - INFO - Epoch(train) [36][720/1879] lr: 1.0000e-02 eta: 2 days, 1:18:53 time: 0.4366 data_time: 0.0160 memory: 17087 grad_norm: 4.9246 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6890 loss: 1.6890 2022/08/03 17:13:09 - mmengine - INFO - Epoch(train) [36][740/1879] lr: 1.0000e-02 eta: 2 days, 1:18:45 time: 0.4290 data_time: 0.0167 memory: 17087 grad_norm: 4.9858 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7898 loss: 1.7898 2022/08/03 17:13:17 - mmengine - INFO - Epoch(train) [36][760/1879] lr: 1.0000e-02 eta: 2 days, 1:18:36 time: 0.4296 data_time: 0.0163 memory: 17087 grad_norm: 4.7907 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5246 loss: 1.5246 2022/08/03 17:13:26 - mmengine - INFO - Epoch(train) [36][780/1879] lr: 1.0000e-02 eta: 2 days, 1:18:28 time: 0.4342 data_time: 0.0170 memory: 17087 grad_norm: 4.7428 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7266 loss: 1.7266 2022/08/03 17:13:35 - mmengine - INFO - Epoch(train) [36][800/1879] lr: 1.0000e-02 eta: 2 days, 1:18:20 time: 0.4328 data_time: 0.0173 memory: 17087 grad_norm: 4.9365 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7242 loss: 1.7242 2022/08/03 17:13:43 - mmengine - INFO - Epoch(train) [36][820/1879] lr: 1.0000e-02 eta: 2 days, 1:18:12 time: 0.4315 data_time: 0.0157 memory: 17087 grad_norm: 4.9858 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6616 loss: 1.6616 2022/08/03 17:13:52 - mmengine - INFO - Epoch(train) [36][840/1879] lr: 1.0000e-02 eta: 2 days, 1:18:05 time: 0.4391 data_time: 0.0170 memory: 17087 grad_norm: 4.8936 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.7263 loss: 1.7263 2022/08/03 17:14:01 - mmengine - INFO - Epoch(train) [36][860/1879] lr: 1.0000e-02 eta: 2 days, 1:17:57 time: 0.4298 data_time: 0.0144 memory: 17087 grad_norm: 4.7704 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8629 loss: 1.8629 2022/08/03 17:14:09 - mmengine - INFO - Epoch(train) [36][880/1879] lr: 1.0000e-02 eta: 2 days, 1:17:48 time: 0.4239 data_time: 0.0153 memory: 17087 grad_norm: 5.0090 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6911 loss: 1.6911 2022/08/03 17:14:18 - mmengine - INFO - Epoch(train) [36][900/1879] lr: 1.0000e-02 eta: 2 days, 1:17:39 time: 0.4256 data_time: 0.0151 memory: 17087 grad_norm: 4.8488 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6849 loss: 1.6849 2022/08/03 17:14:26 - mmengine - INFO - Epoch(train) [36][920/1879] lr: 1.0000e-02 eta: 2 days, 1:17:30 time: 0.4270 data_time: 0.0161 memory: 17087 grad_norm: 4.7542 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7496 loss: 1.7496 2022/08/03 17:14:35 - mmengine - INFO - Epoch(train) [36][940/1879] lr: 1.0000e-02 eta: 2 days, 1:17:21 time: 0.4265 data_time: 0.0158 memory: 17087 grad_norm: 4.7975 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6824 loss: 1.6824 2022/08/03 17:14:43 - mmengine - INFO - Epoch(train) [36][960/1879] lr: 1.0000e-02 eta: 2 days, 1:17:12 time: 0.4261 data_time: 0.0154 memory: 17087 grad_norm: 4.9213 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7224 loss: 1.7224 2022/08/03 17:14:52 - mmengine - INFO - Epoch(train) [36][980/1879] lr: 1.0000e-02 eta: 2 days, 1:17:03 time: 0.4250 data_time: 0.0152 memory: 17087 grad_norm: 4.8753 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8274 loss: 1.8274 2022/08/03 17:15:00 - mmengine - INFO - Epoch(train) [36][1000/1879] lr: 1.0000e-02 eta: 2 days, 1:16:56 time: 0.4351 data_time: 0.0161 memory: 17087 grad_norm: 4.9367 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9890 loss: 1.9890 2022/08/03 17:15:09 - mmengine - INFO - Epoch(train) [36][1020/1879] lr: 1.0000e-02 eta: 2 days, 1:16:47 time: 0.4247 data_time: 0.0166 memory: 17087 grad_norm: 4.7341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7087 loss: 1.7087 2022/08/03 17:15:18 - mmengine - INFO - Epoch(train) [36][1040/1879] lr: 1.0000e-02 eta: 2 days, 1:16:40 time: 0.4402 data_time: 0.0151 memory: 17087 grad_norm: 4.9279 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.0078 loss: 2.0078 2022/08/03 17:15:26 - mmengine - INFO - Epoch(train) [36][1060/1879] lr: 1.0000e-02 eta: 2 days, 1:16:31 time: 0.4300 data_time: 0.0161 memory: 17087 grad_norm: 4.8522 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6136 loss: 1.6136 2022/08/03 17:15:35 - mmengine - INFO - Epoch(train) [36][1080/1879] lr: 1.0000e-02 eta: 2 days, 1:16:24 time: 0.4393 data_time: 0.0176 memory: 17087 grad_norm: 4.7777 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9993 loss: 1.9993 2022/08/03 17:15:44 - mmengine - INFO - Epoch(train) [36][1100/1879] lr: 1.0000e-02 eta: 2 days, 1:16:17 time: 0.4406 data_time: 0.0169 memory: 17087 grad_norm: 4.8825 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6036 loss: 1.6036 2022/08/03 17:15:53 - mmengine - INFO - Epoch(train) [36][1120/1879] lr: 1.0000e-02 eta: 2 days, 1:16:10 time: 0.4393 data_time: 0.0157 memory: 17087 grad_norm: 4.6635 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5749 loss: 1.5749 2022/08/03 17:16:01 - mmengine - INFO - Epoch(train) [36][1140/1879] lr: 1.0000e-02 eta: 2 days, 1:16:01 time: 0.4302 data_time: 0.0194 memory: 17087 grad_norm: 4.9307 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7051 loss: 1.7051 2022/08/03 17:16:10 - mmengine - INFO - Epoch(train) [36][1160/1879] lr: 1.0000e-02 eta: 2 days, 1:15:53 time: 0.4257 data_time: 0.0161 memory: 17087 grad_norm: 4.9574 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7422 loss: 1.7422 2022/08/03 17:16:18 - mmengine - INFO - Epoch(train) [36][1180/1879] lr: 1.0000e-02 eta: 2 days, 1:15:43 time: 0.4225 data_time: 0.0140 memory: 17087 grad_norm: 4.9474 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5563 loss: 1.5563 2022/08/03 17:16:27 - mmengine - INFO - Epoch(train) [36][1200/1879] lr: 1.0000e-02 eta: 2 days, 1:15:36 time: 0.4386 data_time: 0.0168 memory: 17087 grad_norm: 4.8455 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5278 loss: 1.5278 2022/08/03 17:16:36 - mmengine - INFO - Epoch(train) [36][1220/1879] lr: 1.0000e-02 eta: 2 days, 1:15:27 time: 0.4237 data_time: 0.0143 memory: 17087 grad_norm: 4.8293 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8012 loss: 1.8012 2022/08/03 17:16:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:16:44 - mmengine - INFO - Epoch(train) [36][1240/1879] lr: 1.0000e-02 eta: 2 days, 1:15:18 time: 0.4286 data_time: 0.0168 memory: 17087 grad_norm: 4.8613 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7352 loss: 1.7352 2022/08/03 17:16:53 - mmengine - INFO - Epoch(train) [36][1260/1879] lr: 1.0000e-02 eta: 2 days, 1:15:09 time: 0.4240 data_time: 0.0132 memory: 17087 grad_norm: 4.7873 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6784 loss: 1.6784 2022/08/03 17:17:01 - mmengine - INFO - Epoch(train) [36][1280/1879] lr: 1.0000e-02 eta: 2 days, 1:15:01 time: 0.4279 data_time: 0.0167 memory: 17087 grad_norm: 5.0317 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6393 loss: 1.6393 2022/08/03 17:17:10 - mmengine - INFO - Epoch(train) [36][1300/1879] lr: 1.0000e-02 eta: 2 days, 1:14:52 time: 0.4246 data_time: 0.0147 memory: 17087 grad_norm: 4.8516 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7661 loss: 1.7661 2022/08/03 17:17:18 - mmengine - INFO - Epoch(train) [36][1320/1879] lr: 1.0000e-02 eta: 2 days, 1:14:43 time: 0.4270 data_time: 0.0190 memory: 17087 grad_norm: 4.8307 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7238 loss: 1.7238 2022/08/03 17:17:27 - mmengine - INFO - Epoch(train) [36][1340/1879] lr: 1.0000e-02 eta: 2 days, 1:14:37 time: 0.4469 data_time: 0.0139 memory: 17087 grad_norm: 4.7635 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6581 loss: 1.6581 2022/08/03 17:17:36 - mmengine - INFO - Epoch(train) [36][1360/1879] lr: 1.0000e-02 eta: 2 days, 1:14:28 time: 0.4309 data_time: 0.0212 memory: 17087 grad_norm: 4.8546 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6845 loss: 1.6845 2022/08/03 17:17:44 - mmengine - INFO - Epoch(train) [36][1380/1879] lr: 1.0000e-02 eta: 2 days, 1:14:20 time: 0.4321 data_time: 0.0159 memory: 17087 grad_norm: 4.9812 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9868 loss: 1.9868 2022/08/03 17:17:53 - mmengine - INFO - Epoch(train) [36][1400/1879] lr: 1.0000e-02 eta: 2 days, 1:14:11 time: 0.4253 data_time: 0.0175 memory: 17087 grad_norm: 4.8432 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9261 loss: 1.9261 2022/08/03 17:18:01 - mmengine - INFO - Epoch(train) [36][1420/1879] lr: 1.0000e-02 eta: 2 days, 1:14:03 time: 0.4274 data_time: 0.0188 memory: 17087 grad_norm: 4.8319 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7364 loss: 1.7364 2022/08/03 17:18:10 - mmengine - INFO - Epoch(train) [36][1440/1879] lr: 1.0000e-02 eta: 2 days, 1:13:54 time: 0.4263 data_time: 0.0151 memory: 17087 grad_norm: 4.7795 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.5538 loss: 1.5538 2022/08/03 17:18:18 - mmengine - INFO - Epoch(train) [36][1460/1879] lr: 1.0000e-02 eta: 2 days, 1:13:45 time: 0.4235 data_time: 0.0130 memory: 17087 grad_norm: 4.8032 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6563 loss: 1.6563 2022/08/03 17:18:27 - mmengine - INFO - Epoch(train) [36][1480/1879] lr: 1.0000e-02 eta: 2 days, 1:13:36 time: 0.4277 data_time: 0.0167 memory: 17087 grad_norm: 4.8879 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7039 loss: 1.7039 2022/08/03 17:18:36 - mmengine - INFO - Epoch(train) [36][1500/1879] lr: 1.0000e-02 eta: 2 days, 1:13:28 time: 0.4309 data_time: 0.0152 memory: 17087 grad_norm: 4.8811 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4326 loss: 1.4326 2022/08/03 17:18:44 - mmengine - INFO - Epoch(train) [36][1520/1879] lr: 1.0000e-02 eta: 2 days, 1:13:20 time: 0.4319 data_time: 0.0179 memory: 17087 grad_norm: 4.9378 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5382 loss: 1.5382 2022/08/03 17:18:53 - mmengine - INFO - Epoch(train) [36][1540/1879] lr: 1.0000e-02 eta: 2 days, 1:13:11 time: 0.4305 data_time: 0.0151 memory: 17087 grad_norm: 4.8445 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6261 loss: 1.6261 2022/08/03 17:19:02 - mmengine - INFO - Epoch(train) [36][1560/1879] lr: 1.0000e-02 eta: 2 days, 1:13:05 time: 0.4496 data_time: 0.0157 memory: 17087 grad_norm: 4.9503 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5763 loss: 1.5763 2022/08/03 17:19:11 - mmengine - INFO - Epoch(train) [36][1580/1879] lr: 1.0000e-02 eta: 2 days, 1:12:57 time: 0.4320 data_time: 0.0148 memory: 17087 grad_norm: 4.7918 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5187 loss: 1.5187 2022/08/03 17:19:19 - mmengine - INFO - Epoch(train) [36][1600/1879] lr: 1.0000e-02 eta: 2 days, 1:12:49 time: 0.4282 data_time: 0.0177 memory: 17087 grad_norm: 4.8237 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6719 loss: 1.6719 2022/08/03 17:19:28 - mmengine - INFO - Epoch(train) [36][1620/1879] lr: 1.0000e-02 eta: 2 days, 1:12:40 time: 0.4286 data_time: 0.0152 memory: 17087 grad_norm: 4.8108 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9564 loss: 1.9564 2022/08/03 17:19:36 - mmengine - INFO - Epoch(train) [36][1640/1879] lr: 1.0000e-02 eta: 2 days, 1:12:31 time: 0.4269 data_time: 0.0151 memory: 17087 grad_norm: 4.7226 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7495 loss: 1.7495 2022/08/03 17:19:45 - mmengine - INFO - Epoch(train) [36][1660/1879] lr: 1.0000e-02 eta: 2 days, 1:12:23 time: 0.4302 data_time: 0.0147 memory: 17087 grad_norm: 4.8337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7773 loss: 1.7773 2022/08/03 17:19:53 - mmengine - INFO - Epoch(train) [36][1680/1879] lr: 1.0000e-02 eta: 2 days, 1:12:14 time: 0.4263 data_time: 0.0167 memory: 17087 grad_norm: 4.7696 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7576 loss: 1.7576 2022/08/03 17:20:02 - mmengine - INFO - Epoch(train) [36][1700/1879] lr: 1.0000e-02 eta: 2 days, 1:12:09 time: 0.4520 data_time: 0.0158 memory: 17087 grad_norm: 5.0219 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7186 loss: 1.7186 2022/08/03 17:20:11 - mmengine - INFO - Epoch(train) [36][1720/1879] lr: 1.0000e-02 eta: 2 days, 1:12:00 time: 0.4289 data_time: 0.0163 memory: 17087 grad_norm: 4.9005 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6667 loss: 1.6667 2022/08/03 17:20:20 - mmengine - INFO - Epoch(train) [36][1740/1879] lr: 1.0000e-02 eta: 2 days, 1:11:51 time: 0.4243 data_time: 0.0151 memory: 17087 grad_norm: 4.8099 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7352 loss: 1.7352 2022/08/03 17:20:28 - mmengine - INFO - Epoch(train) [36][1760/1879] lr: 1.0000e-02 eta: 2 days, 1:11:42 time: 0.4246 data_time: 0.0165 memory: 17087 grad_norm: 4.7967 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7827 loss: 1.7827 2022/08/03 17:20:37 - mmengine - INFO - Epoch(train) [36][1780/1879] lr: 1.0000e-02 eta: 2 days, 1:11:34 time: 0.4292 data_time: 0.0152 memory: 17087 grad_norm: 4.8396 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7659 loss: 1.7659 2022/08/03 17:20:45 - mmengine - INFO - Epoch(train) [36][1800/1879] lr: 1.0000e-02 eta: 2 days, 1:11:25 time: 0.4296 data_time: 0.0206 memory: 17087 grad_norm: 4.9331 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6191 loss: 1.6191 2022/08/03 17:20:54 - mmengine - INFO - Epoch(train) [36][1820/1879] lr: 1.0000e-02 eta: 2 days, 1:11:17 time: 0.4286 data_time: 0.0165 memory: 17087 grad_norm: 4.7362 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6704 loss: 1.6704 2022/08/03 17:21:03 - mmengine - INFO - Epoch(train) [36][1840/1879] lr: 1.0000e-02 eta: 2 days, 1:11:09 time: 0.4391 data_time: 0.0197 memory: 17087 grad_norm: 4.7875 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8592 loss: 1.8592 2022/08/03 17:21:11 - mmengine - INFO - Epoch(train) [36][1860/1879] lr: 1.0000e-02 eta: 2 days, 1:11:00 time: 0.4234 data_time: 0.0149 memory: 17087 grad_norm: 4.7450 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8047 loss: 1.8047 2022/08/03 17:21:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:21:19 - mmengine - INFO - Epoch(train) [36][1879/1879] lr: 1.0000e-02 eta: 2 days, 1:11:00 time: 0.4093 data_time: 0.0204 memory: 17087 grad_norm: 4.9696 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.6241 loss: 1.6241 2022/08/03 17:21:19 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/08/03 17:21:32 - mmengine - INFO - Epoch(train) [37][20/1879] lr: 1.0000e-02 eta: 2 days, 1:10:03 time: 0.5019 data_time: 0.0886 memory: 17087 grad_norm: 4.7374 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5863 loss: 1.5863 2022/08/03 17:21:41 - mmengine - INFO - Epoch(train) [37][40/1879] lr: 1.0000e-02 eta: 2 days, 1:09:55 time: 0.4317 data_time: 0.0183 memory: 17087 grad_norm: 4.8194 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.6689 loss: 1.6689 2022/08/03 17:21:49 - mmengine - INFO - Epoch(train) [37][60/1879] lr: 1.0000e-02 eta: 2 days, 1:09:45 time: 0.4229 data_time: 0.0148 memory: 17087 grad_norm: 4.8253 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7653 loss: 1.7653 2022/08/03 17:21:58 - mmengine - INFO - Epoch(train) [37][80/1879] lr: 1.0000e-02 eta: 2 days, 1:09:38 time: 0.4361 data_time: 0.0174 memory: 17087 grad_norm: 4.7760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7154 loss: 1.7154 2022/08/03 17:22:07 - mmengine - INFO - Epoch(train) [37][100/1879] lr: 1.0000e-02 eta: 2 days, 1:09:29 time: 0.4247 data_time: 0.0148 memory: 17087 grad_norm: 4.7161 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6097 loss: 1.6097 2022/08/03 17:22:15 - mmengine - INFO - Epoch(train) [37][120/1879] lr: 1.0000e-02 eta: 2 days, 1:09:20 time: 0.4291 data_time: 0.0172 memory: 17087 grad_norm: 4.7396 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6961 loss: 1.6961 2022/08/03 17:22:24 - mmengine - INFO - Epoch(train) [37][140/1879] lr: 1.0000e-02 eta: 2 days, 1:09:11 time: 0.4250 data_time: 0.0150 memory: 17087 grad_norm: 4.9356 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.8354 loss: 1.8354 2022/08/03 17:22:32 - mmengine - INFO - Epoch(train) [37][160/1879] lr: 1.0000e-02 eta: 2 days, 1:09:03 time: 0.4263 data_time: 0.0166 memory: 17087 grad_norm: 4.9140 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7541 loss: 1.7541 2022/08/03 17:22:41 - mmengine - INFO - Epoch(train) [37][180/1879] lr: 1.0000e-02 eta: 2 days, 1:08:53 time: 0.4230 data_time: 0.0133 memory: 17087 grad_norm: 4.8172 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4620 loss: 1.4620 2022/08/03 17:22:49 - mmengine - INFO - Epoch(train) [37][200/1879] lr: 1.0000e-02 eta: 2 days, 1:08:45 time: 0.4300 data_time: 0.0163 memory: 17087 grad_norm: 4.7751 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5543 loss: 1.5543 2022/08/03 17:22:58 - mmengine - INFO - Epoch(train) [37][220/1879] lr: 1.0000e-02 eta: 2 days, 1:08:36 time: 0.4276 data_time: 0.0182 memory: 17087 grad_norm: 4.7579 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5775 loss: 1.5775 2022/08/03 17:23:07 - mmengine - INFO - Epoch(train) [37][240/1879] lr: 1.0000e-02 eta: 2 days, 1:08:28 time: 0.4330 data_time: 0.0165 memory: 17087 grad_norm: 4.7528 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5955 loss: 1.5955 2022/08/03 17:23:15 - mmengine - INFO - Epoch(train) [37][260/1879] lr: 1.0000e-02 eta: 2 days, 1:08:22 time: 0.4425 data_time: 0.0145 memory: 17087 grad_norm: 4.7725 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5502 loss: 1.5502 2022/08/03 17:23:24 - mmengine - INFO - Epoch(train) [37][280/1879] lr: 1.0000e-02 eta: 2 days, 1:08:14 time: 0.4326 data_time: 0.0201 memory: 17087 grad_norm: 4.9309 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7234 loss: 1.7234 2022/08/03 17:23:33 - mmengine - INFO - Epoch(train) [37][300/1879] lr: 1.0000e-02 eta: 2 days, 1:08:05 time: 0.4302 data_time: 0.0141 memory: 17087 grad_norm: 4.9625 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5683 loss: 1.5683 2022/08/03 17:23:41 - mmengine - INFO - Epoch(train) [37][320/1879] lr: 1.0000e-02 eta: 2 days, 1:07:57 time: 0.4302 data_time: 0.0165 memory: 17087 grad_norm: 4.7647 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6785 loss: 1.6785 2022/08/03 17:23:50 - mmengine - INFO - Epoch(train) [37][340/1879] lr: 1.0000e-02 eta: 2 days, 1:07:48 time: 0.4244 data_time: 0.0151 memory: 17087 grad_norm: 4.7675 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8298 loss: 1.8298 2022/08/03 17:23:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:23:58 - mmengine - INFO - Epoch(train) [37][360/1879] lr: 1.0000e-02 eta: 2 days, 1:07:39 time: 0.4249 data_time: 0.0157 memory: 17087 grad_norm: 4.8503 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6723 loss: 1.6723 2022/08/03 17:24:07 - mmengine - INFO - Epoch(train) [37][380/1879] lr: 1.0000e-02 eta: 2 days, 1:07:30 time: 0.4271 data_time: 0.0132 memory: 17087 grad_norm: 4.8954 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5467 loss: 1.5467 2022/08/03 17:24:16 - mmengine - INFO - Epoch(train) [37][400/1879] lr: 1.0000e-02 eta: 2 days, 1:07:24 time: 0.4447 data_time: 0.0174 memory: 17087 grad_norm: 4.8234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8318 loss: 1.8318 2022/08/03 17:24:24 - mmengine - INFO - Epoch(train) [37][420/1879] lr: 1.0000e-02 eta: 2 days, 1:07:15 time: 0.4230 data_time: 0.0138 memory: 17087 grad_norm: 4.8000 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6139 loss: 1.6139 2022/08/03 17:24:33 - mmengine - INFO - Epoch(train) [37][440/1879] lr: 1.0000e-02 eta: 2 days, 1:07:06 time: 0.4315 data_time: 0.0168 memory: 17087 grad_norm: 4.9935 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6691 loss: 1.6691 2022/08/03 17:24:41 - mmengine - INFO - Epoch(train) [37][460/1879] lr: 1.0000e-02 eta: 2 days, 1:06:58 time: 0.4303 data_time: 0.0155 memory: 17087 grad_norm: 4.8037 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5326 loss: 1.5326 2022/08/03 17:24:50 - mmengine - INFO - Epoch(train) [37][480/1879] lr: 1.0000e-02 eta: 2 days, 1:06:49 time: 0.4257 data_time: 0.0151 memory: 17087 grad_norm: 4.7035 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6912 loss: 1.6912 2022/08/03 17:24:58 - mmengine - INFO - Epoch(train) [37][500/1879] lr: 1.0000e-02 eta: 2 days, 1:06:40 time: 0.4251 data_time: 0.0162 memory: 17087 grad_norm: 4.7940 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7051 loss: 1.7051 2022/08/03 17:25:07 - mmengine - INFO - Epoch(train) [37][520/1879] lr: 1.0000e-02 eta: 2 days, 1:06:32 time: 0.4277 data_time: 0.0159 memory: 17087 grad_norm: 4.8755 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4931 loss: 1.4931 2022/08/03 17:25:16 - mmengine - INFO - Epoch(train) [37][540/1879] lr: 1.0000e-02 eta: 2 days, 1:06:23 time: 0.4295 data_time: 0.0160 memory: 17087 grad_norm: 4.9471 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5943 loss: 1.5943 2022/08/03 17:25:24 - mmengine - INFO - Epoch(train) [37][560/1879] lr: 1.0000e-02 eta: 2 days, 1:06:15 time: 0.4301 data_time: 0.0154 memory: 17087 grad_norm: 4.7636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7178 loss: 1.7178 2022/08/03 17:25:33 - mmengine - INFO - Epoch(train) [37][580/1879] lr: 1.0000e-02 eta: 2 days, 1:06:06 time: 0.4249 data_time: 0.0164 memory: 17087 grad_norm: 4.7587 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5050 loss: 1.5050 2022/08/03 17:25:41 - mmengine - INFO - Epoch(train) [37][600/1879] lr: 1.0000e-02 eta: 2 days, 1:05:57 time: 0.4241 data_time: 0.0147 memory: 17087 grad_norm: 4.9755 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6372 loss: 1.6372 2022/08/03 17:25:50 - mmengine - INFO - Epoch(train) [37][620/1879] lr: 1.0000e-02 eta: 2 days, 1:05:48 time: 0.4243 data_time: 0.0186 memory: 17087 grad_norm: 4.9767 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4690 loss: 1.4690 2022/08/03 17:25:59 - mmengine - INFO - Epoch(train) [37][640/1879] lr: 1.0000e-02 eta: 2 days, 1:05:44 time: 0.4673 data_time: 0.0186 memory: 17087 grad_norm: 4.8423 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5479 loss: 1.5479 2022/08/03 17:26:08 - mmengine - INFO - Epoch(train) [37][660/1879] lr: 1.0000e-02 eta: 2 days, 1:05:35 time: 0.4234 data_time: 0.0133 memory: 17087 grad_norm: 4.8666 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8660 loss: 1.8660 2022/08/03 17:26:16 - mmengine - INFO - Epoch(train) [37][680/1879] lr: 1.0000e-02 eta: 2 days, 1:05:27 time: 0.4326 data_time: 0.0170 memory: 17087 grad_norm: 4.9142 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6867 loss: 1.6867 2022/08/03 17:26:25 - mmengine - INFO - Epoch(train) [37][700/1879] lr: 1.0000e-02 eta: 2 days, 1:05:18 time: 0.4243 data_time: 0.0153 memory: 17087 grad_norm: 4.8699 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6247 loss: 1.6247 2022/08/03 17:26:34 - mmengine - INFO - Epoch(train) [37][720/1879] lr: 1.0000e-02 eta: 2 days, 1:05:13 time: 0.4572 data_time: 0.0157 memory: 17087 grad_norm: 4.9205 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6539 loss: 1.6539 2022/08/03 17:26:42 - mmengine - INFO - Epoch(train) [37][740/1879] lr: 1.0000e-02 eta: 2 days, 1:05:04 time: 0.4297 data_time: 0.0205 memory: 17087 grad_norm: 4.7730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6017 loss: 1.6017 2022/08/03 17:26:51 - mmengine - INFO - Epoch(train) [37][760/1879] lr: 1.0000e-02 eta: 2 days, 1:04:56 time: 0.4286 data_time: 0.0162 memory: 17087 grad_norm: 4.7985 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9557 loss: 1.9557 2022/08/03 17:27:00 - mmengine - INFO - Epoch(train) [37][780/1879] lr: 1.0000e-02 eta: 2 days, 1:04:47 time: 0.4269 data_time: 0.0133 memory: 17087 grad_norm: 4.7786 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.6441 loss: 1.6441 2022/08/03 17:27:08 - mmengine - INFO - Epoch(train) [37][800/1879] lr: 1.0000e-02 eta: 2 days, 1:04:38 time: 0.4239 data_time: 0.0174 memory: 17087 grad_norm: 4.8145 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4577 loss: 1.4577 2022/08/03 17:27:17 - mmengine - INFO - Epoch(train) [37][820/1879] lr: 1.0000e-02 eta: 2 days, 1:04:30 time: 0.4298 data_time: 0.0156 memory: 17087 grad_norm: 5.0024 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7511 loss: 1.7511 2022/08/03 17:27:25 - mmengine - INFO - Epoch(train) [37][840/1879] lr: 1.0000e-02 eta: 2 days, 1:04:21 time: 0.4317 data_time: 0.0161 memory: 17087 grad_norm: 4.8279 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5637 loss: 1.5637 2022/08/03 17:27:34 - mmengine - INFO - Epoch(train) [37][860/1879] lr: 1.0000e-02 eta: 2 days, 1:04:16 time: 0.4516 data_time: 0.0163 memory: 17087 grad_norm: 4.9222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6190 loss: 1.6190 2022/08/03 17:27:43 - mmengine - INFO - Epoch(train) [37][880/1879] lr: 1.0000e-02 eta: 2 days, 1:04:07 time: 0.4279 data_time: 0.0163 memory: 17087 grad_norm: 4.9351 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.8005 loss: 1.8005 2022/08/03 17:27:51 - mmengine - INFO - Epoch(train) [37][900/1879] lr: 1.0000e-02 eta: 2 days, 1:03:59 time: 0.4283 data_time: 0.0146 memory: 17087 grad_norm: 4.9768 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5964 loss: 1.5964 2022/08/03 17:28:00 - mmengine - INFO - Epoch(train) [37][920/1879] lr: 1.0000e-02 eta: 2 days, 1:03:50 time: 0.4256 data_time: 0.0158 memory: 17087 grad_norm: 4.7941 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5531 loss: 1.5531 2022/08/03 17:28:09 - mmengine - INFO - Epoch(train) [37][940/1879] lr: 1.0000e-02 eta: 2 days, 1:03:41 time: 0.4290 data_time: 0.0133 memory: 17087 grad_norm: 4.9100 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6664 loss: 1.6664 2022/08/03 17:28:17 - mmengine - INFO - Epoch(train) [37][960/1879] lr: 1.0000e-02 eta: 2 days, 1:03:33 time: 0.4280 data_time: 0.0173 memory: 17087 grad_norm: 4.8150 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5852 loss: 1.5852 2022/08/03 17:28:26 - mmengine - INFO - Epoch(train) [37][980/1879] lr: 1.0000e-02 eta: 2 days, 1:03:24 time: 0.4254 data_time: 0.0156 memory: 17087 grad_norm: 4.7411 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8571 loss: 1.8571 2022/08/03 17:28:34 - mmengine - INFO - Epoch(train) [37][1000/1879] lr: 1.0000e-02 eta: 2 days, 1:03:15 time: 0.4273 data_time: 0.0176 memory: 17087 grad_norm: 4.8922 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7297 loss: 1.7297 2022/08/03 17:28:43 - mmengine - INFO - Epoch(train) [37][1020/1879] lr: 1.0000e-02 eta: 2 days, 1:03:06 time: 0.4247 data_time: 0.0152 memory: 17087 grad_norm: 4.7473 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7800 loss: 1.7800 2022/08/03 17:28:51 - mmengine - INFO - Epoch(train) [37][1040/1879] lr: 1.0000e-02 eta: 2 days, 1:02:57 time: 0.4263 data_time: 0.0151 memory: 17087 grad_norm: 5.1111 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5796 loss: 1.5796 2022/08/03 17:29:00 - mmengine - INFO - Epoch(train) [37][1060/1879] lr: 1.0000e-02 eta: 2 days, 1:02:49 time: 0.4275 data_time: 0.0136 memory: 17087 grad_norm: 4.9563 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6863 loss: 1.6863 2022/08/03 17:29:08 - mmengine - INFO - Epoch(train) [37][1080/1879] lr: 1.0000e-02 eta: 2 days, 1:02:40 time: 0.4296 data_time: 0.0166 memory: 17087 grad_norm: 4.9738 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7496 loss: 1.7496 2022/08/03 17:29:17 - mmengine - INFO - Epoch(train) [37][1100/1879] lr: 1.0000e-02 eta: 2 days, 1:02:32 time: 0.4343 data_time: 0.0139 memory: 17087 grad_norm: 5.0014 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7536 loss: 1.7536 2022/08/03 17:29:26 - mmengine - INFO - Epoch(train) [37][1120/1879] lr: 1.0000e-02 eta: 2 days, 1:02:24 time: 0.4272 data_time: 0.0158 memory: 17087 grad_norm: 5.0431 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7445 loss: 1.7445 2022/08/03 17:29:34 - mmengine - INFO - Epoch(train) [37][1140/1879] lr: 1.0000e-02 eta: 2 days, 1:02:16 time: 0.4325 data_time: 0.0137 memory: 17087 grad_norm: 4.7764 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5994 loss: 1.5994 2022/08/03 17:29:43 - mmengine - INFO - Epoch(train) [37][1160/1879] lr: 1.0000e-02 eta: 2 days, 1:02:07 time: 0.4307 data_time: 0.0173 memory: 17087 grad_norm: 4.8712 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7405 loss: 1.7405 2022/08/03 17:29:51 - mmengine - INFO - Epoch(train) [37][1180/1879] lr: 1.0000e-02 eta: 2 days, 1:01:59 time: 0.4326 data_time: 0.0155 memory: 17087 grad_norm: 4.8877 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5680 loss: 1.5680 2022/08/03 17:30:00 - mmengine - INFO - Epoch(train) [37][1200/1879] lr: 1.0000e-02 eta: 2 days, 1:01:50 time: 0.4251 data_time: 0.0164 memory: 17087 grad_norm: 4.8089 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5816 loss: 1.5816 2022/08/03 17:30:09 - mmengine - INFO - Epoch(train) [37][1220/1879] lr: 1.0000e-02 eta: 2 days, 1:01:41 time: 0.4248 data_time: 0.0149 memory: 17087 grad_norm: 4.8786 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8240 loss: 1.8240 2022/08/03 17:30:17 - mmengine - INFO - Epoch(train) [37][1240/1879] lr: 1.0000e-02 eta: 2 days, 1:01:33 time: 0.4290 data_time: 0.0173 memory: 17087 grad_norm: 4.6721 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5816 loss: 1.5816 2022/08/03 17:30:26 - mmengine - INFO - Epoch(train) [37][1260/1879] lr: 1.0000e-02 eta: 2 days, 1:01:24 time: 0.4230 data_time: 0.0122 memory: 17087 grad_norm: 4.8715 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6431 loss: 1.6431 2022/08/03 17:30:35 - mmengine - INFO - Epoch(train) [37][1280/1879] lr: 1.0000e-02 eta: 2 days, 1:01:18 time: 0.4536 data_time: 0.0165 memory: 17087 grad_norm: 4.8597 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7563 loss: 1.7563 2022/08/03 17:30:43 - mmengine - INFO - Epoch(train) [37][1300/1879] lr: 1.0000e-02 eta: 2 days, 1:01:09 time: 0.4246 data_time: 0.0156 memory: 17087 grad_norm: 4.8154 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8217 loss: 1.8217 2022/08/03 17:30:52 - mmengine - INFO - Epoch(train) [37][1320/1879] lr: 1.0000e-02 eta: 2 days, 1:01:00 time: 0.4263 data_time: 0.0142 memory: 17087 grad_norm: 4.9273 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7732 loss: 1.7732 2022/08/03 17:31:00 - mmengine - INFO - Epoch(train) [37][1340/1879] lr: 1.0000e-02 eta: 2 days, 1:00:51 time: 0.4223 data_time: 0.0153 memory: 17087 grad_norm: 4.9104 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7162 loss: 1.7162 2022/08/03 17:31:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:31:09 - mmengine - INFO - Epoch(train) [37][1360/1879] lr: 1.0000e-02 eta: 2 days, 1:00:43 time: 0.4298 data_time: 0.0165 memory: 17087 grad_norm: 4.8012 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6503 loss: 1.6503 2022/08/03 17:31:17 - mmengine - INFO - Epoch(train) [37][1380/1879] lr: 1.0000e-02 eta: 2 days, 1:00:34 time: 0.4311 data_time: 0.0141 memory: 17087 grad_norm: 4.8472 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4979 loss: 1.4979 2022/08/03 17:31:26 - mmengine - INFO - Epoch(train) [37][1400/1879] lr: 1.0000e-02 eta: 2 days, 1:00:26 time: 0.4315 data_time: 0.0163 memory: 17087 grad_norm: 4.9186 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8362 loss: 1.8362 2022/08/03 17:31:34 - mmengine - INFO - Epoch(train) [37][1420/1879] lr: 1.0000e-02 eta: 2 days, 1:00:17 time: 0.4242 data_time: 0.0151 memory: 17087 grad_norm: 4.9081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6023 loss: 1.6023 2022/08/03 17:31:44 - mmengine - INFO - Epoch(train) [37][1440/1879] lr: 1.0000e-02 eta: 2 days, 1:00:12 time: 0.4584 data_time: 0.0185 memory: 17087 grad_norm: 4.9162 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6155 loss: 1.6155 2022/08/03 17:31:52 - mmengine - INFO - Epoch(train) [37][1460/1879] lr: 1.0000e-02 eta: 2 days, 1:00:03 time: 0.4254 data_time: 0.0148 memory: 17087 grad_norm: 4.7622 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7825 loss: 1.7825 2022/08/03 17:32:01 - mmengine - INFO - Epoch(train) [37][1480/1879] lr: 1.0000e-02 eta: 2 days, 0:59:54 time: 0.4249 data_time: 0.0156 memory: 17087 grad_norm: 4.7648 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8120 loss: 1.8120 2022/08/03 17:32:09 - mmengine - INFO - Epoch(train) [37][1500/1879] lr: 1.0000e-02 eta: 2 days, 0:59:45 time: 0.4251 data_time: 0.0138 memory: 17087 grad_norm: 5.0820 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7407 loss: 1.7407 2022/08/03 17:32:18 - mmengine - INFO - Epoch(train) [37][1520/1879] lr: 1.0000e-02 eta: 2 days, 0:59:37 time: 0.4267 data_time: 0.0161 memory: 17087 grad_norm: 4.9903 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7925 loss: 1.7925 2022/08/03 17:32:26 - mmengine - INFO - Epoch(train) [37][1540/1879] lr: 1.0000e-02 eta: 2 days, 0:59:28 time: 0.4246 data_time: 0.0147 memory: 17087 grad_norm: 4.8356 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7926 loss: 1.7926 2022/08/03 17:32:35 - mmengine - INFO - Epoch(train) [37][1560/1879] lr: 1.0000e-02 eta: 2 days, 0:59:19 time: 0.4271 data_time: 0.0175 memory: 17087 grad_norm: 4.6526 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7323 loss: 1.7323 2022/08/03 17:32:43 - mmengine - INFO - Epoch(train) [37][1580/1879] lr: 1.0000e-02 eta: 2 days, 0:59:10 time: 0.4282 data_time: 0.0152 memory: 17087 grad_norm: 4.7966 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7633 loss: 1.7633 2022/08/03 17:32:52 - mmengine - INFO - Epoch(train) [37][1600/1879] lr: 1.0000e-02 eta: 2 days, 0:59:02 time: 0.4301 data_time: 0.0163 memory: 17087 grad_norm: 4.8003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5580 loss: 1.5580 2022/08/03 17:33:00 - mmengine - INFO - Epoch(train) [37][1620/1879] lr: 1.0000e-02 eta: 2 days, 0:58:53 time: 0.4234 data_time: 0.0130 memory: 17087 grad_norm: 4.8957 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9850 loss: 1.9850 2022/08/03 17:33:09 - mmengine - INFO - Epoch(train) [37][1640/1879] lr: 1.0000e-02 eta: 2 days, 0:58:47 time: 0.4504 data_time: 0.0173 memory: 17087 grad_norm: 4.7056 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5625 loss: 1.5625 2022/08/03 17:33:18 - mmengine - INFO - Epoch(train) [37][1660/1879] lr: 1.0000e-02 eta: 2 days, 0:58:39 time: 0.4351 data_time: 0.0160 memory: 17087 grad_norm: 4.7665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7229 loss: 1.7229 2022/08/03 17:33:27 - mmengine - INFO - Epoch(train) [37][1680/1879] lr: 1.0000e-02 eta: 2 days, 0:58:33 time: 0.4504 data_time: 0.0176 memory: 17087 grad_norm: 4.9378 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6414 loss: 1.6414 2022/08/03 17:33:36 - mmengine - INFO - Epoch(train) [37][1700/1879] lr: 1.0000e-02 eta: 2 days, 0:58:25 time: 0.4272 data_time: 0.0128 memory: 17087 grad_norm: 4.8196 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7599 loss: 1.7599 2022/08/03 17:33:44 - mmengine - INFO - Epoch(train) [37][1720/1879] lr: 1.0000e-02 eta: 2 days, 0:58:17 time: 0.4375 data_time: 0.0229 memory: 17087 grad_norm: 4.8244 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7341 loss: 1.7341 2022/08/03 17:33:53 - mmengine - INFO - Epoch(train) [37][1740/1879] lr: 1.0000e-02 eta: 2 days, 0:58:08 time: 0.4236 data_time: 0.0135 memory: 17087 grad_norm: 4.8788 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8001 loss: 1.8001 2022/08/03 17:34:01 - mmengine - INFO - Epoch(train) [37][1760/1879] lr: 1.0000e-02 eta: 2 days, 0:57:59 time: 0.4251 data_time: 0.0155 memory: 17087 grad_norm: 4.7311 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8598 loss: 1.8598 2022/08/03 17:34:10 - mmengine - INFO - Epoch(train) [37][1780/1879] lr: 1.0000e-02 eta: 2 days, 0:57:51 time: 0.4296 data_time: 0.0186 memory: 17087 grad_norm: 4.8064 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7307 loss: 1.7307 2022/08/03 17:34:19 - mmengine - INFO - Epoch(train) [37][1800/1879] lr: 1.0000e-02 eta: 2 days, 0:57:42 time: 0.4267 data_time: 0.0160 memory: 17087 grad_norm: 4.9140 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5988 loss: 1.5988 2022/08/03 17:34:28 - mmengine - INFO - Epoch(train) [37][1820/1879] lr: 1.0000e-02 eta: 2 days, 0:57:36 time: 0.4501 data_time: 0.0174 memory: 17087 grad_norm: 4.8874 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7209 loss: 1.7209 2022/08/03 17:34:36 - mmengine - INFO - Epoch(train) [37][1840/1879] lr: 1.0000e-02 eta: 2 days, 0:57:28 time: 0.4310 data_time: 0.0171 memory: 17087 grad_norm: 4.7885 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5229 loss: 1.5229 2022/08/03 17:34:45 - mmengine - INFO - Epoch(train) [37][1860/1879] lr: 1.0000e-02 eta: 2 days, 0:57:22 time: 0.4519 data_time: 0.0143 memory: 17087 grad_norm: 4.7481 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4123 loss: 1.4123 2022/08/03 17:34:53 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:34:53 - mmengine - INFO - Epoch(train) [37][1879/1879] lr: 1.0000e-02 eta: 2 days, 0:57:22 time: 0.4120 data_time: 0.0189 memory: 17087 grad_norm: 4.9219 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.8221 loss: 1.8221 2022/08/03 17:35:04 - mmengine - INFO - Epoch(train) [38][20/1879] lr: 1.0000e-02 eta: 2 days, 0:56:32 time: 0.5557 data_time: 0.1322 memory: 17087 grad_norm: 4.8768 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7766 loss: 1.7766 2022/08/03 17:35:13 - mmengine - INFO - Epoch(train) [38][40/1879] lr: 1.0000e-02 eta: 2 days, 0:56:27 time: 0.4584 data_time: 0.0229 memory: 17087 grad_norm: 4.9068 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7562 loss: 1.7562 2022/08/03 17:35:22 - mmengine - INFO - Epoch(train) [38][60/1879] lr: 1.0000e-02 eta: 2 days, 0:56:18 time: 0.4222 data_time: 0.0137 memory: 17087 grad_norm: 4.7515 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5868 loss: 1.5868 2022/08/03 17:35:30 - mmengine - INFO - Epoch(train) [38][80/1879] lr: 1.0000e-02 eta: 2 days, 0:56:09 time: 0.4250 data_time: 0.0149 memory: 17087 grad_norm: 4.9010 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7573 loss: 1.7573 2022/08/03 17:35:39 - mmengine - INFO - Epoch(train) [38][100/1879] lr: 1.0000e-02 eta: 2 days, 0:56:00 time: 0.4265 data_time: 0.0138 memory: 17087 grad_norm: 4.6912 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6693 loss: 1.6693 2022/08/03 17:35:47 - mmengine - INFO - Epoch(train) [38][120/1879] lr: 1.0000e-02 eta: 2 days, 0:55:51 time: 0.4261 data_time: 0.0178 memory: 17087 grad_norm: 4.8547 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7813 loss: 1.7813 2022/08/03 17:35:56 - mmengine - INFO - Epoch(train) [38][140/1879] lr: 1.0000e-02 eta: 2 days, 0:55:43 time: 0.4295 data_time: 0.0166 memory: 17087 grad_norm: 4.7599 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5422 loss: 1.5422 2022/08/03 17:36:04 - mmengine - INFO - Epoch(train) [38][160/1879] lr: 1.0000e-02 eta: 2 days, 0:55:34 time: 0.4250 data_time: 0.0169 memory: 17087 grad_norm: 4.9434 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6329 loss: 1.6329 2022/08/03 17:36:13 - mmengine - INFO - Epoch(train) [38][180/1879] lr: 1.0000e-02 eta: 2 days, 0:55:26 time: 0.4306 data_time: 0.0162 memory: 17087 grad_norm: 4.7705 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.6816 loss: 1.6816 2022/08/03 17:36:22 - mmengine - INFO - Epoch(train) [38][200/1879] lr: 1.0000e-02 eta: 2 days, 0:55:17 time: 0.4256 data_time: 0.0151 memory: 17087 grad_norm: 4.7457 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6887 loss: 1.6887 2022/08/03 17:36:30 - mmengine - INFO - Epoch(train) [38][220/1879] lr: 1.0000e-02 eta: 2 days, 0:55:08 time: 0.4233 data_time: 0.0136 memory: 17087 grad_norm: 4.8553 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6084 loss: 1.6084 2022/08/03 17:36:39 - mmengine - INFO - Epoch(train) [38][240/1879] lr: 1.0000e-02 eta: 2 days, 0:55:03 time: 0.4592 data_time: 0.0182 memory: 17087 grad_norm: 5.0703 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7308 loss: 1.7308 2022/08/03 17:36:48 - mmengine - INFO - Epoch(train) [38][260/1879] lr: 1.0000e-02 eta: 2 days, 0:54:55 time: 0.4328 data_time: 0.0166 memory: 17087 grad_norm: 4.8787 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.7315 loss: 1.7315 2022/08/03 17:36:56 - mmengine - INFO - Epoch(train) [38][280/1879] lr: 1.0000e-02 eta: 2 days, 0:54:46 time: 0.4262 data_time: 0.0172 memory: 17087 grad_norm: 4.9000 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6313 loss: 1.6313 2022/08/03 17:37:05 - mmengine - INFO - Epoch(train) [38][300/1879] lr: 1.0000e-02 eta: 2 days, 0:54:37 time: 0.4263 data_time: 0.0152 memory: 17087 grad_norm: 4.8159 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7803 loss: 1.7803 2022/08/03 17:37:14 - mmengine - INFO - Epoch(train) [38][320/1879] lr: 1.0000e-02 eta: 2 days, 0:54:30 time: 0.4355 data_time: 0.0174 memory: 17087 grad_norm: 4.8138 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6525 loss: 1.6525 2022/08/03 17:37:22 - mmengine - INFO - Epoch(train) [38][340/1879] lr: 1.0000e-02 eta: 2 days, 0:54:21 time: 0.4266 data_time: 0.0123 memory: 17087 grad_norm: 4.9178 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8704 loss: 1.8704 2022/08/03 17:37:31 - mmengine - INFO - Epoch(train) [38][360/1879] lr: 1.0000e-02 eta: 2 days, 0:54:12 time: 0.4252 data_time: 0.0165 memory: 17087 grad_norm: 4.8584 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7974 loss: 1.7974 2022/08/03 17:37:39 - mmengine - INFO - Epoch(train) [38][380/1879] lr: 1.0000e-02 eta: 2 days, 0:54:03 time: 0.4242 data_time: 0.0136 memory: 17087 grad_norm: 4.9308 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6644 loss: 1.6644 2022/08/03 17:37:48 - mmengine - INFO - Epoch(train) [38][400/1879] lr: 1.0000e-02 eta: 2 days, 0:53:54 time: 0.4297 data_time: 0.0167 memory: 17087 grad_norm: 4.7524 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7196 loss: 1.7196 2022/08/03 17:37:56 - mmengine - INFO - Epoch(train) [38][420/1879] lr: 1.0000e-02 eta: 2 days, 0:53:45 time: 0.4228 data_time: 0.0127 memory: 17087 grad_norm: 4.8153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6111 loss: 1.6111 2022/08/03 17:38:05 - mmengine - INFO - Epoch(train) [38][440/1879] lr: 1.0000e-02 eta: 2 days, 0:53:39 time: 0.4463 data_time: 0.0161 memory: 17087 grad_norm: 4.8842 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5567 loss: 1.5567 2022/08/03 17:38:14 - mmengine - INFO - Epoch(train) [38][460/1879] lr: 1.0000e-02 eta: 2 days, 0:53:30 time: 0.4242 data_time: 0.0139 memory: 17087 grad_norm: 4.9916 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4895 loss: 1.4895 2022/08/03 17:38:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:38:23 - mmengine - INFO - Epoch(train) [38][480/1879] lr: 1.0000e-02 eta: 2 days, 0:53:25 time: 0.4603 data_time: 0.0159 memory: 17087 grad_norm: 4.8633 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7899 loss: 1.7899 2022/08/03 17:38:31 - mmengine - INFO - Epoch(train) [38][500/1879] lr: 1.0000e-02 eta: 2 days, 0:53:16 time: 0.4278 data_time: 0.0143 memory: 17087 grad_norm: 4.8664 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6434 loss: 1.6434 2022/08/03 17:38:40 - mmengine - INFO - Epoch(train) [38][520/1879] lr: 1.0000e-02 eta: 2 days, 0:53:07 time: 0.4253 data_time: 0.0169 memory: 17087 grad_norm: 4.7913 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9196 loss: 1.9196 2022/08/03 17:38:49 - mmengine - INFO - Epoch(train) [38][540/1879] lr: 1.0000e-02 eta: 2 days, 0:53:00 time: 0.4360 data_time: 0.0168 memory: 17087 grad_norm: 4.8935 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5854 loss: 1.5854 2022/08/03 17:38:57 - mmengine - INFO - Epoch(train) [38][560/1879] lr: 1.0000e-02 eta: 2 days, 0:52:51 time: 0.4267 data_time: 0.0175 memory: 17087 grad_norm: 4.7909 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6974 loss: 1.6974 2022/08/03 17:39:06 - mmengine - INFO - Epoch(train) [38][580/1879] lr: 1.0000e-02 eta: 2 days, 0:52:43 time: 0.4293 data_time: 0.0155 memory: 17087 grad_norm: 5.0926 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5937 loss: 1.5937 2022/08/03 17:39:14 - mmengine - INFO - Epoch(train) [38][600/1879] lr: 1.0000e-02 eta: 2 days, 0:52:34 time: 0.4258 data_time: 0.0157 memory: 17087 grad_norm: 5.0149 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7262 loss: 1.7262 2022/08/03 17:39:24 - mmengine - INFO - Epoch(train) [38][620/1879] lr: 1.0000e-02 eta: 2 days, 0:52:29 time: 0.4641 data_time: 0.0169 memory: 17087 grad_norm: 4.8306 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7321 loss: 1.7321 2022/08/03 17:39:32 - mmengine - INFO - Epoch(train) [38][640/1879] lr: 1.0000e-02 eta: 2 days, 0:52:21 time: 0.4270 data_time: 0.0157 memory: 17087 grad_norm: 4.8332 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.6834 loss: 1.6834 2022/08/03 17:39:41 - mmengine - INFO - Epoch(train) [38][660/1879] lr: 1.0000e-02 eta: 2 days, 0:52:12 time: 0.4231 data_time: 0.0142 memory: 17087 grad_norm: 4.8450 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5327 loss: 1.5327 2022/08/03 17:39:50 - mmengine - INFO - Epoch(train) [38][680/1879] lr: 1.0000e-02 eta: 2 days, 0:52:06 time: 0.4568 data_time: 0.0179 memory: 17087 grad_norm: 4.8958 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8042 loss: 1.8042 2022/08/03 17:39:58 - mmengine - INFO - Epoch(train) [38][700/1879] lr: 1.0000e-02 eta: 2 days, 0:51:58 time: 0.4330 data_time: 0.0146 memory: 17087 grad_norm: 4.8003 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6933 loss: 1.6933 2022/08/03 17:40:07 - mmengine - INFO - Epoch(train) [38][720/1879] lr: 1.0000e-02 eta: 2 days, 0:51:49 time: 0.4254 data_time: 0.0149 memory: 17087 grad_norm: 4.9253 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5471 loss: 1.5471 2022/08/03 17:40:16 - mmengine - INFO - Epoch(train) [38][740/1879] lr: 1.0000e-02 eta: 2 days, 0:51:45 time: 0.4601 data_time: 0.0198 memory: 17087 grad_norm: 4.7496 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5918 loss: 1.5918 2022/08/03 17:40:25 - mmengine - INFO - Epoch(train) [38][760/1879] lr: 1.0000e-02 eta: 2 days, 0:51:36 time: 0.4249 data_time: 0.0156 memory: 17087 grad_norm: 4.9369 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5815 loss: 1.5815 2022/08/03 17:40:34 - mmengine - INFO - Epoch(train) [38][780/1879] lr: 1.0000e-02 eta: 2 days, 0:51:31 time: 0.4620 data_time: 0.0215 memory: 17087 grad_norm: 4.9362 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5361 loss: 1.5361 2022/08/03 17:40:42 - mmengine - INFO - Epoch(train) [38][800/1879] lr: 1.0000e-02 eta: 2 days, 0:51:22 time: 0.4262 data_time: 0.0155 memory: 17087 grad_norm: 4.9647 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5185 loss: 1.5185 2022/08/03 17:40:51 - mmengine - INFO - Epoch(train) [38][820/1879] lr: 1.0000e-02 eta: 2 days, 0:51:14 time: 0.4275 data_time: 0.0189 memory: 17087 grad_norm: 4.8884 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8474 loss: 1.8474 2022/08/03 17:41:00 - mmengine - INFO - Epoch(train) [38][840/1879] lr: 1.0000e-02 eta: 2 days, 0:51:05 time: 0.4271 data_time: 0.0162 memory: 17087 grad_norm: 4.9374 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8664 loss: 1.8664 2022/08/03 17:41:08 - mmengine - INFO - Epoch(train) [38][860/1879] lr: 1.0000e-02 eta: 2 days, 0:50:56 time: 0.4254 data_time: 0.0149 memory: 17087 grad_norm: 4.8996 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6236 loss: 1.6236 2022/08/03 17:41:17 - mmengine - INFO - Epoch(train) [38][880/1879] lr: 1.0000e-02 eta: 2 days, 0:50:48 time: 0.4359 data_time: 0.0165 memory: 17087 grad_norm: 4.9504 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7266 loss: 1.7266 2022/08/03 17:41:25 - mmengine - INFO - Epoch(train) [38][900/1879] lr: 1.0000e-02 eta: 2 days, 0:50:39 time: 0.4238 data_time: 0.0141 memory: 17087 grad_norm: 4.8114 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6753 loss: 1.6753 2022/08/03 17:41:34 - mmengine - INFO - Epoch(train) [38][920/1879] lr: 1.0000e-02 eta: 2 days, 0:50:31 time: 0.4298 data_time: 0.0163 memory: 17087 grad_norm: 4.9956 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8982 loss: 1.8982 2022/08/03 17:41:42 - mmengine - INFO - Epoch(train) [38][940/1879] lr: 1.0000e-02 eta: 2 days, 0:50:22 time: 0.4243 data_time: 0.0148 memory: 17087 grad_norm: 4.7896 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7682 loss: 1.7682 2022/08/03 17:41:51 - mmengine - INFO - Epoch(train) [38][960/1879] lr: 1.0000e-02 eta: 2 days, 0:50:13 time: 0.4293 data_time: 0.0157 memory: 17087 grad_norm: 4.8430 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8142 loss: 1.8142 2022/08/03 17:41:59 - mmengine - INFO - Epoch(train) [38][980/1879] lr: 1.0000e-02 eta: 2 days, 0:50:04 time: 0.4242 data_time: 0.0141 memory: 17087 grad_norm: 4.9647 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5187 loss: 1.5187 2022/08/03 17:42:08 - mmengine - INFO - Epoch(train) [38][1000/1879] lr: 1.0000e-02 eta: 2 days, 0:49:56 time: 0.4311 data_time: 0.0172 memory: 17087 grad_norm: 4.7502 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5957 loss: 1.5957 2022/08/03 17:42:17 - mmengine - INFO - Epoch(train) [38][1020/1879] lr: 1.0000e-02 eta: 2 days, 0:49:48 time: 0.4291 data_time: 0.0141 memory: 17087 grad_norm: 4.8203 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5788 loss: 1.5788 2022/08/03 17:42:25 - mmengine - INFO - Epoch(train) [38][1040/1879] lr: 1.0000e-02 eta: 2 days, 0:49:40 time: 0.4392 data_time: 0.0185 memory: 17087 grad_norm: 4.8488 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5896 loss: 1.5896 2022/08/03 17:42:34 - mmengine - INFO - Epoch(train) [38][1060/1879] lr: 1.0000e-02 eta: 2 days, 0:49:31 time: 0.4238 data_time: 0.0149 memory: 17087 grad_norm: 4.8050 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7061 loss: 1.7061 2022/08/03 17:42:43 - mmengine - INFO - Epoch(train) [38][1080/1879] lr: 1.0000e-02 eta: 2 days, 0:49:23 time: 0.4266 data_time: 0.0159 memory: 17087 grad_norm: 4.7440 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4134 loss: 1.4134 2022/08/03 17:42:51 - mmengine - INFO - Epoch(train) [38][1100/1879] lr: 1.0000e-02 eta: 2 days, 0:49:14 time: 0.4300 data_time: 0.0135 memory: 17087 grad_norm: 4.8243 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9547 loss: 1.9547 2022/08/03 17:43:00 - mmengine - INFO - Epoch(train) [38][1120/1879] lr: 1.0000e-02 eta: 2 days, 0:49:06 time: 0.4338 data_time: 0.0166 memory: 17087 grad_norm: 4.7149 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7290 loss: 1.7290 2022/08/03 17:43:08 - mmengine - INFO - Epoch(train) [38][1140/1879] lr: 1.0000e-02 eta: 2 days, 0:48:58 time: 0.4338 data_time: 0.0156 memory: 17087 grad_norm: 4.8239 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6777 loss: 1.6777 2022/08/03 17:43:17 - mmengine - INFO - Epoch(train) [38][1160/1879] lr: 1.0000e-02 eta: 2 days, 0:48:49 time: 0.4244 data_time: 0.0159 memory: 17087 grad_norm: 4.7832 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5533 loss: 1.5533 2022/08/03 17:43:26 - mmengine - INFO - Epoch(train) [38][1180/1879] lr: 1.0000e-02 eta: 2 days, 0:48:44 time: 0.4521 data_time: 0.0155 memory: 17087 grad_norm: 4.8144 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6338 loss: 1.6338 2022/08/03 17:43:35 - mmengine - INFO - Epoch(train) [38][1200/1879] lr: 1.0000e-02 eta: 2 days, 0:48:35 time: 0.4245 data_time: 0.0167 memory: 17087 grad_norm: 4.8232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5536 loss: 1.5536 2022/08/03 17:43:43 - mmengine - INFO - Epoch(train) [38][1220/1879] lr: 1.0000e-02 eta: 2 days, 0:48:26 time: 0.4255 data_time: 0.0129 memory: 17087 grad_norm: 4.9023 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7252 loss: 1.7252 2022/08/03 17:43:52 - mmengine - INFO - Epoch(train) [38][1240/1879] lr: 1.0000e-02 eta: 2 days, 0:48:17 time: 0.4254 data_time: 0.0154 memory: 17087 grad_norm: 4.8585 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6876 loss: 1.6876 2022/08/03 17:44:00 - mmengine - INFO - Epoch(train) [38][1260/1879] lr: 1.0000e-02 eta: 2 days, 0:48:08 time: 0.4250 data_time: 0.0145 memory: 17087 grad_norm: 4.9005 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7385 loss: 1.7385 2022/08/03 17:44:09 - mmengine - INFO - Epoch(train) [38][1280/1879] lr: 1.0000e-02 eta: 2 days, 0:47:59 time: 0.4284 data_time: 0.0159 memory: 17087 grad_norm: 4.8053 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5687 loss: 1.5687 2022/08/03 17:44:17 - mmengine - INFO - Epoch(train) [38][1300/1879] lr: 1.0000e-02 eta: 2 days, 0:47:50 time: 0.4248 data_time: 0.0146 memory: 17087 grad_norm: 4.9912 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.5106 loss: 1.5106 2022/08/03 17:44:26 - mmengine - INFO - Epoch(train) [38][1320/1879] lr: 1.0000e-02 eta: 2 days, 0:47:42 time: 0.4333 data_time: 0.0175 memory: 17087 grad_norm: 5.0297 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6254 loss: 1.6254 2022/08/03 17:44:34 - mmengine - INFO - Epoch(train) [38][1340/1879] lr: 1.0000e-02 eta: 2 days, 0:47:33 time: 0.4235 data_time: 0.0134 memory: 17087 grad_norm: 4.9408 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7618 loss: 1.7618 2022/08/03 17:44:43 - mmengine - INFO - Epoch(train) [38][1360/1879] lr: 1.0000e-02 eta: 2 days, 0:47:25 time: 0.4315 data_time: 0.0156 memory: 17087 grad_norm: 5.0504 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7691 loss: 1.7691 2022/08/03 17:44:51 - mmengine - INFO - Epoch(train) [38][1380/1879] lr: 1.0000e-02 eta: 2 days, 0:47:16 time: 0.4219 data_time: 0.0123 memory: 17087 grad_norm: 4.8569 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6224 loss: 1.6224 2022/08/03 17:45:00 - mmengine - INFO - Epoch(train) [38][1400/1879] lr: 1.0000e-02 eta: 2 days, 0:47:07 time: 0.4256 data_time: 0.0167 memory: 17087 grad_norm: 4.8515 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7152 loss: 1.7152 2022/08/03 17:45:09 - mmengine - INFO - Epoch(train) [38][1420/1879] lr: 1.0000e-02 eta: 2 days, 0:47:01 time: 0.4515 data_time: 0.0150 memory: 17087 grad_norm: 5.0132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7322 loss: 1.7322 2022/08/03 17:45:17 - mmengine - INFO - Epoch(train) [38][1440/1879] lr: 1.0000e-02 eta: 2 days, 0:46:52 time: 0.4262 data_time: 0.0162 memory: 17087 grad_norm: 4.9222 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6538 loss: 1.6538 2022/08/03 17:45:26 - mmengine - INFO - Epoch(train) [38][1460/1879] lr: 1.0000e-02 eta: 2 days, 0:46:45 time: 0.4433 data_time: 0.0136 memory: 17087 grad_norm: 4.8090 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6898 loss: 1.6898 2022/08/03 17:45:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:45:35 - mmengine - INFO - Epoch(train) [38][1480/1879] lr: 1.0000e-02 eta: 2 days, 0:46:37 time: 0.4314 data_time: 0.0207 memory: 17087 grad_norm: 4.9879 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7295 loss: 1.7295 2022/08/03 17:45:43 - mmengine - INFO - Epoch(train) [38][1500/1879] lr: 1.0000e-02 eta: 2 days, 0:46:28 time: 0.4279 data_time: 0.0157 memory: 17087 grad_norm: 4.8631 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6674 loss: 1.6674 2022/08/03 17:45:52 - mmengine - INFO - Epoch(train) [38][1520/1879] lr: 1.0000e-02 eta: 2 days, 0:46:20 time: 0.4254 data_time: 0.0151 memory: 17087 grad_norm: 4.8078 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8528 loss: 1.8528 2022/08/03 17:46:00 - mmengine - INFO - Epoch(train) [38][1540/1879] lr: 1.0000e-02 eta: 2 days, 0:46:10 time: 0.4224 data_time: 0.0135 memory: 17087 grad_norm: 4.7565 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7946 loss: 1.7946 2022/08/03 17:46:09 - mmengine - INFO - Epoch(train) [38][1560/1879] lr: 1.0000e-02 eta: 2 days, 0:46:04 time: 0.4497 data_time: 0.0158 memory: 17087 grad_norm: 4.7994 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8378 loss: 1.8378 2022/08/03 17:46:18 - mmengine - INFO - Epoch(train) [38][1580/1879] lr: 1.0000e-02 eta: 2 days, 0:45:55 time: 0.4248 data_time: 0.0144 memory: 17087 grad_norm: 4.9048 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7135 loss: 1.7135 2022/08/03 17:46:27 - mmengine - INFO - Epoch(train) [38][1600/1879] lr: 1.0000e-02 eta: 2 days, 0:45:50 time: 0.4554 data_time: 0.0234 memory: 17087 grad_norm: 4.7274 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6744 loss: 1.6744 2022/08/03 17:46:36 - mmengine - INFO - Epoch(train) [38][1620/1879] lr: 1.0000e-02 eta: 2 days, 0:45:41 time: 0.4225 data_time: 0.0133 memory: 17087 grad_norm: 4.7343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4732 loss: 1.4732 2022/08/03 17:46:44 - mmengine - INFO - Epoch(train) [38][1640/1879] lr: 1.0000e-02 eta: 2 days, 0:45:34 time: 0.4479 data_time: 0.0169 memory: 17087 grad_norm: 4.7955 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8314 loss: 1.8314 2022/08/03 17:46:53 - mmengine - INFO - Epoch(train) [38][1660/1879] lr: 1.0000e-02 eta: 2 days, 0:45:25 time: 0.4247 data_time: 0.0144 memory: 17087 grad_norm: 4.8564 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5602 loss: 1.5602 2022/08/03 17:47:04 - mmengine - INFO - Epoch(train) [38][1680/1879] lr: 1.0000e-02 eta: 2 days, 0:45:31 time: 0.5496 data_time: 0.0163 memory: 17087 grad_norm: 4.8854 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6992 loss: 1.6992 2022/08/03 17:47:13 - mmengine - INFO - Epoch(train) [38][1700/1879] lr: 1.0000e-02 eta: 2 days, 0:45:22 time: 0.4256 data_time: 0.0166 memory: 17087 grad_norm: 4.8659 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6056 loss: 1.6056 2022/08/03 17:47:21 - mmengine - INFO - Epoch(train) [38][1720/1879] lr: 1.0000e-02 eta: 2 days, 0:45:13 time: 0.4268 data_time: 0.0152 memory: 17087 grad_norm: 4.8360 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6805 loss: 1.6805 2022/08/03 17:47:30 - mmengine - INFO - Epoch(train) [38][1740/1879] lr: 1.0000e-02 eta: 2 days, 0:45:05 time: 0.4306 data_time: 0.0178 memory: 17087 grad_norm: 4.8833 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5877 loss: 1.5877 2022/08/03 17:47:38 - mmengine - INFO - Epoch(train) [38][1760/1879] lr: 1.0000e-02 eta: 2 days, 0:44:56 time: 0.4254 data_time: 0.0145 memory: 17087 grad_norm: 4.8120 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7041 loss: 1.7041 2022/08/03 17:47:47 - mmengine - INFO - Epoch(train) [38][1780/1879] lr: 1.0000e-02 eta: 2 days, 0:44:49 time: 0.4441 data_time: 0.0187 memory: 17087 grad_norm: 4.8346 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8948 loss: 1.8948 2022/08/03 17:47:56 - mmengine - INFO - Epoch(train) [38][1800/1879] lr: 1.0000e-02 eta: 2 days, 0:44:41 time: 0.4317 data_time: 0.0196 memory: 17087 grad_norm: 4.7286 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8515 loss: 1.8515 2022/08/03 17:48:04 - mmengine - INFO - Epoch(train) [38][1820/1879] lr: 1.0000e-02 eta: 2 days, 0:44:33 time: 0.4296 data_time: 0.0173 memory: 17087 grad_norm: 4.7274 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7136 loss: 1.7136 2022/08/03 17:48:13 - mmengine - INFO - Epoch(train) [38][1840/1879] lr: 1.0000e-02 eta: 2 days, 0:44:23 time: 0.4227 data_time: 0.0149 memory: 17087 grad_norm: 4.9105 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7792 loss: 1.7792 2022/08/03 17:48:21 - mmengine - INFO - Epoch(train) [38][1860/1879] lr: 1.0000e-02 eta: 2 days, 0:44:14 time: 0.4246 data_time: 0.0152 memory: 17087 grad_norm: 4.9368 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7430 loss: 1.7430 2022/08/03 17:48:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:48:29 - mmengine - INFO - Epoch(train) [38][1879/1879] lr: 1.0000e-02 eta: 2 days, 0:44:14 time: 0.4279 data_time: 0.0141 memory: 17087 grad_norm: 5.0307 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.8645 loss: 1.8645 2022/08/03 17:48:41 - mmengine - INFO - Epoch(train) [39][20/1879] lr: 1.0000e-02 eta: 2 days, 0:43:26 time: 0.5561 data_time: 0.1200 memory: 17087 grad_norm: 4.8616 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9025 loss: 1.9025 2022/08/03 17:48:49 - mmengine - INFO - Epoch(train) [39][40/1879] lr: 1.0000e-02 eta: 2 days, 0:43:19 time: 0.4439 data_time: 0.0228 memory: 17087 grad_norm: 4.8543 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6566 loss: 1.6566 2022/08/03 17:48:58 - mmengine - INFO - Epoch(train) [39][60/1879] lr: 1.0000e-02 eta: 2 days, 0:43:10 time: 0.4252 data_time: 0.0148 memory: 17087 grad_norm: 4.8764 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4677 loss: 1.4677 2022/08/03 17:49:07 - mmengine - INFO - Epoch(train) [39][80/1879] lr: 1.0000e-02 eta: 2 days, 0:43:03 time: 0.4459 data_time: 0.0161 memory: 17087 grad_norm: 4.9734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5490 loss: 1.5490 2022/08/03 17:49:15 - mmengine - INFO - Epoch(train) [39][100/1879] lr: 1.0000e-02 eta: 2 days, 0:42:54 time: 0.4237 data_time: 0.0139 memory: 17087 grad_norm: 4.7734 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6134 loss: 1.6134 2022/08/03 17:49:24 - mmengine - INFO - Epoch(train) [39][120/1879] lr: 1.0000e-02 eta: 2 days, 0:42:46 time: 0.4297 data_time: 0.0181 memory: 17087 grad_norm: 4.7422 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6748 loss: 1.6748 2022/08/03 17:49:32 - mmengine - INFO - Epoch(train) [39][140/1879] lr: 1.0000e-02 eta: 2 days, 0:42:37 time: 0.4224 data_time: 0.0132 memory: 17087 grad_norm: 4.7831 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7582 loss: 1.7582 2022/08/03 17:49:41 - mmengine - INFO - Epoch(train) [39][160/1879] lr: 1.0000e-02 eta: 2 days, 0:42:28 time: 0.4266 data_time: 0.0162 memory: 17087 grad_norm: 4.7542 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5054 loss: 1.5054 2022/08/03 17:49:50 - mmengine - INFO - Epoch(train) [39][180/1879] lr: 1.0000e-02 eta: 2 days, 0:42:23 time: 0.4635 data_time: 0.0140 memory: 17087 grad_norm: 4.7160 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5319 loss: 1.5319 2022/08/03 17:49:59 - mmengine - INFO - Epoch(train) [39][200/1879] lr: 1.0000e-02 eta: 2 days, 0:42:15 time: 0.4309 data_time: 0.0218 memory: 17087 grad_norm: 4.7507 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4673 loss: 1.4673 2022/08/03 17:50:08 - mmengine - INFO - Epoch(train) [39][220/1879] lr: 1.0000e-02 eta: 2 days, 0:42:09 time: 0.4491 data_time: 0.0128 memory: 17087 grad_norm: 4.9071 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5591 loss: 1.5591 2022/08/03 17:50:16 - mmengine - INFO - Epoch(train) [39][240/1879] lr: 1.0000e-02 eta: 2 days, 0:42:00 time: 0.4261 data_time: 0.0168 memory: 17087 grad_norm: 4.8535 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4559 loss: 1.4559 2022/08/03 17:50:25 - mmengine - INFO - Epoch(train) [39][260/1879] lr: 1.0000e-02 eta: 2 days, 0:41:52 time: 0.4295 data_time: 0.0199 memory: 17087 grad_norm: 4.8214 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6795 loss: 1.6795 2022/08/03 17:50:34 - mmengine - INFO - Epoch(train) [39][280/1879] lr: 1.0000e-02 eta: 2 days, 0:41:43 time: 0.4279 data_time: 0.0169 memory: 17087 grad_norm: 4.8360 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5905 loss: 1.5905 2022/08/03 17:50:42 - mmengine - INFO - Epoch(train) [39][300/1879] lr: 1.0000e-02 eta: 2 days, 0:41:34 time: 0.4240 data_time: 0.0158 memory: 17087 grad_norm: 4.8533 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9216 loss: 1.9216 2022/08/03 17:50:51 - mmengine - INFO - Epoch(train) [39][320/1879] lr: 1.0000e-02 eta: 2 days, 0:41:26 time: 0.4312 data_time: 0.0151 memory: 17087 grad_norm: 4.8138 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5512 loss: 1.5512 2022/08/03 17:50:59 - mmengine - INFO - Epoch(train) [39][340/1879] lr: 1.0000e-02 eta: 2 days, 0:41:17 time: 0.4256 data_time: 0.0142 memory: 17087 grad_norm: 4.8103 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6765 loss: 1.6765 2022/08/03 17:51:08 - mmengine - INFO - Epoch(train) [39][360/1879] lr: 1.0000e-02 eta: 2 days, 0:41:09 time: 0.4312 data_time: 0.0197 memory: 17087 grad_norm: 4.8316 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5260 loss: 1.5260 2022/08/03 17:51:16 - mmengine - INFO - Epoch(train) [39][380/1879] lr: 1.0000e-02 eta: 2 days, 0:41:00 time: 0.4241 data_time: 0.0146 memory: 17087 grad_norm: 5.0440 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5778 loss: 1.5778 2022/08/03 17:51:25 - mmengine - INFO - Epoch(train) [39][400/1879] lr: 1.0000e-02 eta: 2 days, 0:40:51 time: 0.4310 data_time: 0.0177 memory: 17087 grad_norm: 4.8474 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7155 loss: 1.7155 2022/08/03 17:51:33 - mmengine - INFO - Epoch(train) [39][420/1879] lr: 1.0000e-02 eta: 2 days, 0:40:43 time: 0.4250 data_time: 0.0136 memory: 17087 grad_norm: 4.9305 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5955 loss: 1.5955 2022/08/03 17:51:42 - mmengine - INFO - Epoch(train) [39][440/1879] lr: 1.0000e-02 eta: 2 days, 0:40:34 time: 0.4277 data_time: 0.0165 memory: 17087 grad_norm: 4.9930 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8010 loss: 1.8010 2022/08/03 17:51:51 - mmengine - INFO - Epoch(train) [39][460/1879] lr: 1.0000e-02 eta: 2 days, 0:40:26 time: 0.4299 data_time: 0.0148 memory: 17087 grad_norm: 4.8095 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5810 loss: 1.5810 2022/08/03 17:51:59 - mmengine - INFO - Epoch(train) [39][480/1879] lr: 1.0000e-02 eta: 2 days, 0:40:17 time: 0.4271 data_time: 0.0182 memory: 17087 grad_norm: 5.1287 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6677 loss: 1.6677 2022/08/03 17:52:08 - mmengine - INFO - Epoch(train) [39][500/1879] lr: 1.0000e-02 eta: 2 days, 0:40:10 time: 0.4477 data_time: 0.0131 memory: 17087 grad_norm: 4.7729 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8521 loss: 1.8521 2022/08/03 17:52:17 - mmengine - INFO - Epoch(train) [39][520/1879] lr: 1.0000e-02 eta: 2 days, 0:40:02 time: 0.4275 data_time: 0.0186 memory: 17087 grad_norm: 4.7808 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4181 loss: 1.4181 2022/08/03 17:52:25 - mmengine - INFO - Epoch(train) [39][540/1879] lr: 1.0000e-02 eta: 2 days, 0:39:53 time: 0.4281 data_time: 0.0150 memory: 17087 grad_norm: 4.8028 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5428 loss: 1.5428 2022/08/03 17:52:34 - mmengine - INFO - Epoch(train) [39][560/1879] lr: 1.0000e-02 eta: 2 days, 0:39:44 time: 0.4247 data_time: 0.0156 memory: 17087 grad_norm: 4.8696 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7012 loss: 1.7012 2022/08/03 17:52:42 - mmengine - INFO - Epoch(train) [39][580/1879] lr: 1.0000e-02 eta: 2 days, 0:39:36 time: 0.4271 data_time: 0.0178 memory: 17087 grad_norm: 4.7362 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6380 loss: 1.6380 2022/08/03 17:52:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:52:51 - mmengine - INFO - Epoch(train) [39][600/1879] lr: 1.0000e-02 eta: 2 days, 0:39:27 time: 0.4302 data_time: 0.0149 memory: 17087 grad_norm: 4.8511 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4578 loss: 1.4578 2022/08/03 17:52:59 - mmengine - INFO - Epoch(train) [39][620/1879] lr: 1.0000e-02 eta: 2 days, 0:39:19 time: 0.4269 data_time: 0.0141 memory: 17087 grad_norm: 4.9278 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6376 loss: 1.6376 2022/08/03 17:53:08 - mmengine - INFO - Epoch(train) [39][640/1879] lr: 1.0000e-02 eta: 2 days, 0:39:10 time: 0.4268 data_time: 0.0165 memory: 17087 grad_norm: 4.9790 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6435 loss: 1.6435 2022/08/03 17:53:16 - mmengine - INFO - Epoch(train) [39][660/1879] lr: 1.0000e-02 eta: 2 days, 0:39:01 time: 0.4247 data_time: 0.0161 memory: 17087 grad_norm: 4.9500 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6306 loss: 1.6306 2022/08/03 17:53:26 - mmengine - INFO - Epoch(train) [39][680/1879] lr: 1.0000e-02 eta: 2 days, 0:38:57 time: 0.4660 data_time: 0.0165 memory: 17087 grad_norm: 4.8367 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7377 loss: 1.7377 2022/08/03 17:53:34 - mmengine - INFO - Epoch(train) [39][700/1879] lr: 1.0000e-02 eta: 2 days, 0:38:47 time: 0.4238 data_time: 0.0119 memory: 17087 grad_norm: 4.7570 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6834 loss: 1.6834 2022/08/03 17:53:43 - mmengine - INFO - Epoch(train) [39][720/1879] lr: 1.0000e-02 eta: 2 days, 0:38:39 time: 0.4298 data_time: 0.0211 memory: 17087 grad_norm: 4.8149 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6461 loss: 1.6461 2022/08/03 17:53:52 - mmengine - INFO - Epoch(train) [39][740/1879] lr: 1.0000e-02 eta: 2 days, 0:38:33 time: 0.4507 data_time: 0.0157 memory: 17087 grad_norm: 4.7313 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5414 loss: 1.5414 2022/08/03 17:54:00 - mmengine - INFO - Epoch(train) [39][760/1879] lr: 1.0000e-02 eta: 2 days, 0:38:25 time: 0.4292 data_time: 0.0216 memory: 17087 grad_norm: 4.9308 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5352 loss: 1.5352 2022/08/03 17:54:10 - mmengine - INFO - Epoch(train) [39][780/1879] lr: 1.0000e-02 eta: 2 days, 0:38:19 time: 0.4542 data_time: 0.0157 memory: 17087 grad_norm: 4.8260 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5867 loss: 1.5867 2022/08/03 17:54:18 - mmengine - INFO - Epoch(train) [39][800/1879] lr: 1.0000e-02 eta: 2 days, 0:38:10 time: 0.4281 data_time: 0.0182 memory: 17087 grad_norm: 4.8570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7410 loss: 1.7410 2022/08/03 17:54:27 - mmengine - INFO - Epoch(train) [39][820/1879] lr: 1.0000e-02 eta: 2 days, 0:38:01 time: 0.4248 data_time: 0.0171 memory: 17087 grad_norm: 4.9075 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7385 loss: 1.7385 2022/08/03 17:54:35 - mmengine - INFO - Epoch(train) [39][840/1879] lr: 1.0000e-02 eta: 2 days, 0:37:53 time: 0.4273 data_time: 0.0166 memory: 17087 grad_norm: 4.7261 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6212 loss: 1.6212 2022/08/03 17:54:44 - mmengine - INFO - Epoch(train) [39][860/1879] lr: 1.0000e-02 eta: 2 days, 0:37:44 time: 0.4294 data_time: 0.0138 memory: 17087 grad_norm: 4.9129 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6978 loss: 1.6978 2022/08/03 17:54:52 - mmengine - INFO - Epoch(train) [39][880/1879] lr: 1.0000e-02 eta: 2 days, 0:37:36 time: 0.4265 data_time: 0.0174 memory: 17087 grad_norm: 4.7631 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6224 loss: 1.6224 2022/08/03 17:55:01 - mmengine - INFO - Epoch(train) [39][900/1879] lr: 1.0000e-02 eta: 2 days, 0:37:27 time: 0.4283 data_time: 0.0125 memory: 17087 grad_norm: 4.8540 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6688 loss: 1.6688 2022/08/03 17:55:09 - mmengine - INFO - Epoch(train) [39][920/1879] lr: 1.0000e-02 eta: 2 days, 0:37:19 time: 0.4296 data_time: 0.0187 memory: 17087 grad_norm: 4.9257 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7929 loss: 1.7929 2022/08/03 17:55:18 - mmengine - INFO - Epoch(train) [39][940/1879] lr: 1.0000e-02 eta: 2 days, 0:37:11 time: 0.4403 data_time: 0.0129 memory: 17087 grad_norm: 4.8183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5411 loss: 1.5411 2022/08/03 17:55:27 - mmengine - INFO - Epoch(train) [39][960/1879] lr: 1.0000e-02 eta: 2 days, 0:37:04 time: 0.4375 data_time: 0.0205 memory: 17087 grad_norm: 4.8794 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8780 loss: 1.8780 2022/08/03 17:55:36 - mmengine - INFO - Epoch(train) [39][980/1879] lr: 1.0000e-02 eta: 2 days, 0:36:55 time: 0.4252 data_time: 0.0138 memory: 17087 grad_norm: 4.9727 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7954 loss: 1.7954 2022/08/03 17:55:45 - mmengine - INFO - Epoch(train) [39][1000/1879] lr: 1.0000e-02 eta: 2 days, 0:36:49 time: 0.4506 data_time: 0.0170 memory: 17087 grad_norm: 4.6906 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.5652 loss: 1.5652 2022/08/03 17:55:53 - mmengine - INFO - Epoch(train) [39][1020/1879] lr: 1.0000e-02 eta: 2 days, 0:36:40 time: 0.4239 data_time: 0.0145 memory: 17087 grad_norm: 4.7569 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4970 loss: 1.4970 2022/08/03 17:56:02 - mmengine - INFO - Epoch(train) [39][1040/1879] lr: 1.0000e-02 eta: 2 days, 0:36:31 time: 0.4275 data_time: 0.0164 memory: 17087 grad_norm: 4.9374 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6468 loss: 1.6468 2022/08/03 17:56:10 - mmengine - INFO - Epoch(train) [39][1060/1879] lr: 1.0000e-02 eta: 2 days, 0:36:22 time: 0.4276 data_time: 0.0191 memory: 17087 grad_norm: 5.0948 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7012 loss: 1.7012 2022/08/03 17:56:19 - mmengine - INFO - Epoch(train) [39][1080/1879] lr: 1.0000e-02 eta: 2 days, 0:36:14 time: 0.4267 data_time: 0.0195 memory: 17087 grad_norm: 4.7240 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5361 loss: 1.5361 2022/08/03 17:56:27 - mmengine - INFO - Epoch(train) [39][1100/1879] lr: 1.0000e-02 eta: 2 days, 0:36:05 time: 0.4264 data_time: 0.0153 memory: 17087 grad_norm: 4.7990 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6457 loss: 1.6457 2022/08/03 17:56:36 - mmengine - INFO - Epoch(train) [39][1120/1879] lr: 1.0000e-02 eta: 2 days, 0:35:56 time: 0.4273 data_time: 0.0168 memory: 17087 grad_norm: 4.7547 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5907 loss: 1.5907 2022/08/03 17:56:44 - mmengine - INFO - Epoch(train) [39][1140/1879] lr: 1.0000e-02 eta: 2 days, 0:35:47 time: 0.4252 data_time: 0.0157 memory: 17087 grad_norm: 4.9152 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5915 loss: 1.5915 2022/08/03 17:56:53 - mmengine - INFO - Epoch(train) [39][1160/1879] lr: 1.0000e-02 eta: 2 days, 0:35:39 time: 0.4270 data_time: 0.0178 memory: 17087 grad_norm: 5.0387 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6294 loss: 1.6294 2022/08/03 17:57:01 - mmengine - INFO - Epoch(train) [39][1180/1879] lr: 1.0000e-02 eta: 2 days, 0:35:30 time: 0.4250 data_time: 0.0115 memory: 17087 grad_norm: 4.7956 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4985 loss: 1.4985 2022/08/03 17:57:10 - mmengine - INFO - Epoch(train) [39][1200/1879] lr: 1.0000e-02 eta: 2 days, 0:35:21 time: 0.4278 data_time: 0.0174 memory: 17087 grad_norm: 4.9529 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6529 loss: 1.6529 2022/08/03 17:57:18 - mmengine - INFO - Epoch(train) [39][1220/1879] lr: 1.0000e-02 eta: 2 days, 0:35:12 time: 0.4261 data_time: 0.0134 memory: 17087 grad_norm: 4.9467 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8200 loss: 1.8200 2022/08/03 17:57:27 - mmengine - INFO - Epoch(train) [39][1240/1879] lr: 1.0000e-02 eta: 2 days, 0:35:04 time: 0.4315 data_time: 0.0181 memory: 17087 grad_norm: 4.8270 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5315 loss: 1.5315 2022/08/03 17:57:36 - mmengine - INFO - Epoch(train) [39][1260/1879] lr: 1.0000e-02 eta: 2 days, 0:34:55 time: 0.4255 data_time: 0.0131 memory: 17087 grad_norm: 4.9347 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8447 loss: 1.8447 2022/08/03 17:57:44 - mmengine - INFO - Epoch(train) [39][1280/1879] lr: 1.0000e-02 eta: 2 days, 0:34:47 time: 0.4294 data_time: 0.0176 memory: 17087 grad_norm: 4.9901 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7845 loss: 1.7845 2022/08/03 17:57:53 - mmengine - INFO - Epoch(train) [39][1300/1879] lr: 1.0000e-02 eta: 2 days, 0:34:38 time: 0.4242 data_time: 0.0134 memory: 17087 grad_norm: 4.9411 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7151 loss: 1.7151 2022/08/03 17:58:01 - mmengine - INFO - Epoch(train) [39][1320/1879] lr: 1.0000e-02 eta: 2 days, 0:34:29 time: 0.4269 data_time: 0.0161 memory: 17087 grad_norm: 4.8990 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5721 loss: 1.5721 2022/08/03 17:58:10 - mmengine - INFO - Epoch(train) [39][1340/1879] lr: 1.0000e-02 eta: 2 days, 0:34:20 time: 0.4245 data_time: 0.0149 memory: 17087 grad_norm: 4.8522 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6030 loss: 1.6030 2022/08/03 17:58:18 - mmengine - INFO - Epoch(train) [39][1360/1879] lr: 1.0000e-02 eta: 2 days, 0:34:12 time: 0.4288 data_time: 0.0159 memory: 17087 grad_norm: 5.0040 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6482 loss: 1.6482 2022/08/03 17:58:27 - mmengine - INFO - Epoch(train) [39][1380/1879] lr: 1.0000e-02 eta: 2 days, 0:34:03 time: 0.4319 data_time: 0.0156 memory: 17087 grad_norm: 5.0534 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6761 loss: 1.6761 2022/08/03 17:58:36 - mmengine - INFO - Epoch(train) [39][1400/1879] lr: 1.0000e-02 eta: 2 days, 0:33:56 time: 0.4407 data_time: 0.0143 memory: 17087 grad_norm: 5.0174 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9346 loss: 1.9346 2022/08/03 17:58:45 - mmengine - INFO - Epoch(train) [39][1420/1879] lr: 1.0000e-02 eta: 2 days, 0:33:49 time: 0.4370 data_time: 0.0195 memory: 17087 grad_norm: 4.9696 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4421 loss: 1.4421 2022/08/03 17:58:53 - mmengine - INFO - Epoch(train) [39][1440/1879] lr: 1.0000e-02 eta: 2 days, 0:33:40 time: 0.4255 data_time: 0.0155 memory: 17087 grad_norm: 4.9327 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6229 loss: 1.6229 2022/08/03 17:59:02 - mmengine - INFO - Epoch(train) [39][1460/1879] lr: 1.0000e-02 eta: 2 days, 0:33:33 time: 0.4426 data_time: 0.0150 memory: 17087 grad_norm: 4.8342 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6521 loss: 1.6521 2022/08/03 17:59:10 - mmengine - INFO - Epoch(train) [39][1480/1879] lr: 1.0000e-02 eta: 2 days, 0:33:24 time: 0.4280 data_time: 0.0183 memory: 17087 grad_norm: 4.9458 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5859 loss: 1.5859 2022/08/03 17:59:19 - mmengine - INFO - Epoch(train) [39][1500/1879] lr: 1.0000e-02 eta: 2 days, 0:33:16 time: 0.4280 data_time: 0.0125 memory: 17087 grad_norm: 5.0514 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6370 loss: 1.6370 2022/08/03 17:59:28 - mmengine - INFO - Epoch(train) [39][1520/1879] lr: 1.0000e-02 eta: 2 days, 0:33:07 time: 0.4287 data_time: 0.0154 memory: 17087 grad_norm: 4.9093 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5796 loss: 1.5796 2022/08/03 17:59:36 - mmengine - INFO - Epoch(train) [39][1540/1879] lr: 1.0000e-02 eta: 2 days, 0:32:59 time: 0.4334 data_time: 0.0171 memory: 17087 grad_norm: 4.7888 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5863 loss: 1.5863 2022/08/03 17:59:45 - mmengine - INFO - Epoch(train) [39][1560/1879] lr: 1.0000e-02 eta: 2 days, 0:32:50 time: 0.4282 data_time: 0.0165 memory: 17087 grad_norm: 4.9749 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9697 loss: 1.9697 2022/08/03 17:59:53 - mmengine - INFO - Epoch(train) [39][1580/1879] lr: 1.0000e-02 eta: 2 days, 0:32:41 time: 0.4241 data_time: 0.0158 memory: 17087 grad_norm: 4.9400 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7287 loss: 1.7287 2022/08/03 18:00:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:00:05 - mmengine - INFO - Epoch(train) [39][1600/1879] lr: 1.0000e-02 eta: 2 days, 0:32:51 time: 0.5924 data_time: 0.0217 memory: 17087 grad_norm: 4.9886 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8880 loss: 1.8880 2022/08/03 18:00:14 - mmengine - INFO - Epoch(train) [39][1620/1879] lr: 1.0000e-02 eta: 2 days, 0:32:42 time: 0.4267 data_time: 0.0167 memory: 17087 grad_norm: 4.8680 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5241 loss: 1.5241 2022/08/03 18:00:22 - mmengine - INFO - Epoch(train) [39][1640/1879] lr: 1.0000e-02 eta: 2 days, 0:32:34 time: 0.4258 data_time: 0.0152 memory: 17087 grad_norm: 4.9451 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.6974 loss: 1.6974 2022/08/03 18:00:31 - mmengine - INFO - Epoch(train) [39][1660/1879] lr: 1.0000e-02 eta: 2 days, 0:32:25 time: 0.4249 data_time: 0.0148 memory: 17087 grad_norm: 4.9036 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7515 loss: 1.7515 2022/08/03 18:00:40 - mmengine - INFO - Epoch(train) [39][1680/1879] lr: 1.0000e-02 eta: 2 days, 0:32:20 time: 0.4602 data_time: 0.0178 memory: 17087 grad_norm: 4.7577 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7654 loss: 1.7654 2022/08/03 18:00:48 - mmengine - INFO - Epoch(train) [39][1700/1879] lr: 1.0000e-02 eta: 2 days, 0:32:11 time: 0.4243 data_time: 0.0169 memory: 17087 grad_norm: 4.7081 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.6710 loss: 1.6710 2022/08/03 18:00:57 - mmengine - INFO - Epoch(train) [39][1720/1879] lr: 1.0000e-02 eta: 2 days, 0:32:03 time: 0.4357 data_time: 0.0144 memory: 17087 grad_norm: 4.9027 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8683 loss: 1.8683 2022/08/03 18:01:06 - mmengine - INFO - Epoch(train) [39][1740/1879] lr: 1.0000e-02 eta: 2 days, 0:31:54 time: 0.4270 data_time: 0.0160 memory: 17087 grad_norm: 4.9011 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7095 loss: 1.7095 2022/08/03 18:01:14 - mmengine - INFO - Epoch(train) [39][1760/1879] lr: 1.0000e-02 eta: 2 days, 0:31:46 time: 0.4274 data_time: 0.0142 memory: 17087 grad_norm: 4.7649 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5635 loss: 1.5635 2022/08/03 18:01:23 - mmengine - INFO - Epoch(train) [39][1780/1879] lr: 1.0000e-02 eta: 2 days, 0:31:38 time: 0.4368 data_time: 0.0168 memory: 17087 grad_norm: 4.8331 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6328 loss: 1.6328 2022/08/03 18:01:32 - mmengine - INFO - Epoch(train) [39][1800/1879] lr: 1.0000e-02 eta: 2 days, 0:31:29 time: 0.4289 data_time: 0.0134 memory: 17087 grad_norm: 4.9619 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7361 loss: 1.7361 2022/08/03 18:01:41 - mmengine - INFO - Epoch(train) [39][1820/1879] lr: 1.0000e-02 eta: 2 days, 0:31:23 time: 0.4509 data_time: 0.0155 memory: 17087 grad_norm: 4.9186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8866 loss: 1.8866 2022/08/03 18:01:49 - mmengine - INFO - Epoch(train) [39][1840/1879] lr: 1.0000e-02 eta: 2 days, 0:31:15 time: 0.4274 data_time: 0.0145 memory: 17087 grad_norm: 4.9652 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5709 loss: 1.5709 2022/08/03 18:01:58 - mmengine - INFO - Epoch(train) [39][1860/1879] lr: 1.0000e-02 eta: 2 days, 0:31:06 time: 0.4312 data_time: 0.0170 memory: 17087 grad_norm: 4.8431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5344 loss: 1.5344 2022/08/03 18:02:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:02:05 - mmengine - INFO - Epoch(train) [39][1879/1879] lr: 1.0000e-02 eta: 2 days, 0:31:06 time: 0.4056 data_time: 0.0131 memory: 17087 grad_norm: 4.9611 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.7506 loss: 1.7506 2022/08/03 18:02:17 - mmengine - INFO - Epoch(train) [40][20/1879] lr: 1.0000e-02 eta: 2 days, 0:30:19 time: 0.5564 data_time: 0.1091 memory: 17087 grad_norm: 4.7829 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5336 loss: 1.5336 2022/08/03 18:02:25 - mmengine - INFO - Epoch(train) [40][40/1879] lr: 1.0000e-02 eta: 2 days, 0:30:10 time: 0.4290 data_time: 0.0187 memory: 17087 grad_norm: 4.9313 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7392 loss: 1.7392 2022/08/03 18:02:34 - mmengine - INFO - Epoch(train) [40][60/1879] lr: 1.0000e-02 eta: 2 days, 0:30:01 time: 0.4231 data_time: 0.0130 memory: 17087 grad_norm: 4.8679 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6713 loss: 1.6713 2022/08/03 18:02:42 - mmengine - INFO - Epoch(train) [40][80/1879] lr: 1.0000e-02 eta: 2 days, 0:29:53 time: 0.4298 data_time: 0.0191 memory: 17087 grad_norm: 4.8206 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6892 loss: 1.6892 2022/08/03 18:02:51 - mmengine - INFO - Epoch(train) [40][100/1879] lr: 1.0000e-02 eta: 2 days, 0:29:45 time: 0.4381 data_time: 0.0132 memory: 17087 grad_norm: 4.9018 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5361 loss: 1.5361 2022/08/03 18:03:00 - mmengine - INFO - Epoch(train) [40][120/1879] lr: 1.0000e-02 eta: 2 days, 0:29:36 time: 0.4253 data_time: 0.0163 memory: 17087 grad_norm: 4.8657 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8055 loss: 1.8055 2022/08/03 18:03:08 - mmengine - INFO - Epoch(train) [40][140/1879] lr: 1.0000e-02 eta: 2 days, 0:29:28 time: 0.4312 data_time: 0.0124 memory: 17087 grad_norm: 4.7819 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5542 loss: 1.5542 2022/08/03 18:03:17 - mmengine - INFO - Epoch(train) [40][160/1879] lr: 1.0000e-02 eta: 2 days, 0:29:20 time: 0.4290 data_time: 0.0173 memory: 17087 grad_norm: 5.0867 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6753 loss: 1.6753 2022/08/03 18:03:25 - mmengine - INFO - Epoch(train) [40][180/1879] lr: 1.0000e-02 eta: 2 days, 0:29:10 time: 0.4239 data_time: 0.0135 memory: 17087 grad_norm: 4.7196 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7107 loss: 1.7107 2022/08/03 18:03:34 - mmengine - INFO - Epoch(train) [40][200/1879] lr: 1.0000e-02 eta: 2 days, 0:29:02 time: 0.4253 data_time: 0.0167 memory: 17087 grad_norm: 4.8216 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5774 loss: 1.5774 2022/08/03 18:03:42 - mmengine - INFO - Epoch(train) [40][220/1879] lr: 1.0000e-02 eta: 2 days, 0:28:53 time: 0.4252 data_time: 0.0143 memory: 17087 grad_norm: 4.7759 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7162 loss: 1.7162 2022/08/03 18:03:51 - mmengine - INFO - Epoch(train) [40][240/1879] lr: 1.0000e-02 eta: 2 days, 0:28:44 time: 0.4262 data_time: 0.0176 memory: 17087 grad_norm: 4.7829 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5977 loss: 1.5977 2022/08/03 18:04:00 - mmengine - INFO - Epoch(train) [40][260/1879] lr: 1.0000e-02 eta: 2 days, 0:28:36 time: 0.4312 data_time: 0.0147 memory: 17087 grad_norm: 4.7919 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7913 loss: 1.7913 2022/08/03 18:04:08 - mmengine - INFO - Epoch(train) [40][280/1879] lr: 1.0000e-02 eta: 2 days, 0:28:27 time: 0.4270 data_time: 0.0169 memory: 17087 grad_norm: 4.9654 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6329 loss: 1.6329 2022/08/03 18:04:17 - mmengine - INFO - Epoch(train) [40][300/1879] lr: 1.0000e-02 eta: 2 days, 0:28:19 time: 0.4370 data_time: 0.0155 memory: 17087 grad_norm: 4.8935 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7345 loss: 1.7345 2022/08/03 18:04:25 - mmengine - INFO - Epoch(train) [40][320/1879] lr: 1.0000e-02 eta: 2 days, 0:28:11 time: 0.4275 data_time: 0.0162 memory: 17087 grad_norm: 4.8078 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7011 loss: 1.7011 2022/08/03 18:04:34 - mmengine - INFO - Epoch(train) [40][340/1879] lr: 1.0000e-02 eta: 2 days, 0:28:02 time: 0.4281 data_time: 0.0184 memory: 17087 grad_norm: 4.8582 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7711 loss: 1.7711 2022/08/03 18:04:42 - mmengine - INFO - Epoch(train) [40][360/1879] lr: 1.0000e-02 eta: 2 days, 0:27:53 time: 0.4277 data_time: 0.0163 memory: 17087 grad_norm: 4.9013 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6980 loss: 1.6980 2022/08/03 18:04:51 - mmengine - INFO - Epoch(train) [40][380/1879] lr: 1.0000e-02 eta: 2 days, 0:27:44 time: 0.4233 data_time: 0.0118 memory: 17087 grad_norm: 4.9906 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7445 loss: 1.7445 2022/08/03 18:05:00 - mmengine - INFO - Epoch(train) [40][400/1879] lr: 1.0000e-02 eta: 2 days, 0:27:36 time: 0.4281 data_time: 0.0163 memory: 17087 grad_norm: 4.7980 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7601 loss: 1.7601 2022/08/03 18:05:08 - mmengine - INFO - Epoch(train) [40][420/1879] lr: 1.0000e-02 eta: 2 days, 0:27:27 time: 0.4224 data_time: 0.0137 memory: 17087 grad_norm: 4.8589 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7684 loss: 1.7684 2022/08/03 18:05:17 - mmengine - INFO - Epoch(train) [40][440/1879] lr: 1.0000e-02 eta: 2 days, 0:27:19 time: 0.4344 data_time: 0.0172 memory: 17087 grad_norm: 4.8411 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9036 loss: 1.9036 2022/08/03 18:05:25 - mmengine - INFO - Epoch(train) [40][460/1879] lr: 1.0000e-02 eta: 2 days, 0:27:10 time: 0.4247 data_time: 0.0136 memory: 17087 grad_norm: 4.8131 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5288 loss: 1.5288 2022/08/03 18:05:34 - mmengine - INFO - Epoch(train) [40][480/1879] lr: 1.0000e-02 eta: 2 days, 0:27:01 time: 0.4265 data_time: 0.0161 memory: 17087 grad_norm: 4.7809 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6536 loss: 1.6536 2022/08/03 18:05:43 - mmengine - INFO - Epoch(train) [40][500/1879] lr: 1.0000e-02 eta: 2 days, 0:26:54 time: 0.4462 data_time: 0.0159 memory: 17087 grad_norm: 4.8641 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7388 loss: 1.7388 2022/08/03 18:05:51 - mmengine - INFO - Epoch(train) [40][520/1879] lr: 1.0000e-02 eta: 2 days, 0:26:46 time: 0.4276 data_time: 0.0166 memory: 17087 grad_norm: 4.8004 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5300 loss: 1.5300 2022/08/03 18:06:00 - mmengine - INFO - Epoch(train) [40][540/1879] lr: 1.0000e-02 eta: 2 days, 0:26:40 time: 0.4539 data_time: 0.0159 memory: 17087 grad_norm: 4.9734 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5936 loss: 1.5936 2022/08/03 18:06:09 - mmengine - INFO - Epoch(train) [40][560/1879] lr: 1.0000e-02 eta: 2 days, 0:26:31 time: 0.4262 data_time: 0.0171 memory: 17087 grad_norm: 4.7749 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6787 loss: 1.6787 2022/08/03 18:06:17 - mmengine - INFO - Epoch(train) [40][580/1879] lr: 1.0000e-02 eta: 2 days, 0:26:23 time: 0.4277 data_time: 0.0152 memory: 17087 grad_norm: 5.0080 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8141 loss: 1.8141 2022/08/03 18:06:26 - mmengine - INFO - Epoch(train) [40][600/1879] lr: 1.0000e-02 eta: 2 days, 0:26:14 time: 0.4257 data_time: 0.0162 memory: 17087 grad_norm: 4.9961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6993 loss: 1.6993 2022/08/03 18:06:34 - mmengine - INFO - Epoch(train) [40][620/1879] lr: 1.0000e-02 eta: 2 days, 0:26:05 time: 0.4241 data_time: 0.0152 memory: 17087 grad_norm: 5.2351 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7790 loss: 1.7790 2022/08/03 18:06:43 - mmengine - INFO - Epoch(train) [40][640/1879] lr: 1.0000e-02 eta: 2 days, 0:25:57 time: 0.4343 data_time: 0.0163 memory: 17087 grad_norm: 5.0120 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7497 loss: 1.7497 2022/08/03 18:06:52 - mmengine - INFO - Epoch(train) [40][660/1879] lr: 1.0000e-02 eta: 2 days, 0:25:48 time: 0.4251 data_time: 0.0126 memory: 17087 grad_norm: 4.8896 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6824 loss: 1.6824 2022/08/03 18:07:00 - mmengine - INFO - Epoch(train) [40][680/1879] lr: 1.0000e-02 eta: 2 days, 0:25:40 time: 0.4313 data_time: 0.0178 memory: 17087 grad_norm: 5.0675 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5542 loss: 1.5542 2022/08/03 18:07:09 - mmengine - INFO - Epoch(train) [40][700/1879] lr: 1.0000e-02 eta: 2 days, 0:25:30 time: 0.4227 data_time: 0.0151 memory: 17087 grad_norm: 4.8324 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7197 loss: 1.7197 2022/08/03 18:07:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:07:17 - mmengine - INFO - Epoch(train) [40][720/1879] lr: 1.0000e-02 eta: 2 days, 0:25:22 time: 0.4277 data_time: 0.0163 memory: 17087 grad_norm: 4.7815 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5584 loss: 1.5584 2022/08/03 18:07:26 - mmengine - INFO - Epoch(train) [40][740/1879] lr: 1.0000e-02 eta: 2 days, 0:25:13 time: 0.4227 data_time: 0.0139 memory: 17087 grad_norm: 4.9160 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5807 loss: 1.5807 2022/08/03 18:07:34 - mmengine - INFO - Epoch(train) [40][760/1879] lr: 1.0000e-02 eta: 2 days, 0:25:04 time: 0.4259 data_time: 0.0178 memory: 17087 grad_norm: 4.8959 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6368 loss: 1.6368 2022/08/03 18:07:43 - mmengine - INFO - Epoch(train) [40][780/1879] lr: 1.0000e-02 eta: 2 days, 0:24:57 time: 0.4473 data_time: 0.0142 memory: 17087 grad_norm: 4.8050 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5784 loss: 1.5784 2022/08/03 18:07:52 - mmengine - INFO - Epoch(train) [40][800/1879] lr: 1.0000e-02 eta: 2 days, 0:24:49 time: 0.4265 data_time: 0.0155 memory: 17087 grad_norm: 4.8818 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6432 loss: 1.6432 2022/08/03 18:08:01 - mmengine - INFO - Epoch(train) [40][820/1879] lr: 1.0000e-02 eta: 2 days, 0:24:43 time: 0.4560 data_time: 0.0144 memory: 17087 grad_norm: 5.0191 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8398 loss: 1.8398 2022/08/03 18:08:09 - mmengine - INFO - Epoch(train) [40][840/1879] lr: 1.0000e-02 eta: 2 days, 0:24:34 time: 0.4260 data_time: 0.0162 memory: 17087 grad_norm: 4.8316 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6540 loss: 1.6540 2022/08/03 18:08:18 - mmengine - INFO - Epoch(train) [40][860/1879] lr: 1.0000e-02 eta: 2 days, 0:24:28 time: 0.4468 data_time: 0.0146 memory: 17087 grad_norm: 4.9005 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7105 loss: 1.7105 2022/08/03 18:08:27 - mmengine - INFO - Epoch(train) [40][880/1879] lr: 1.0000e-02 eta: 2 days, 0:24:19 time: 0.4277 data_time: 0.0172 memory: 17087 grad_norm: 4.8571 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6480 loss: 1.6480 2022/08/03 18:08:36 - mmengine - INFO - Epoch(train) [40][900/1879] lr: 1.0000e-02 eta: 2 days, 0:24:12 time: 0.4452 data_time: 0.0143 memory: 17087 grad_norm: 4.7545 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.6241 loss: 1.6241 2022/08/03 18:08:44 - mmengine - INFO - Epoch(train) [40][920/1879] lr: 1.0000e-02 eta: 2 days, 0:24:03 time: 0.4225 data_time: 0.0152 memory: 17087 grad_norm: 4.7507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6296 loss: 1.6296 2022/08/03 18:08:53 - mmengine - INFO - Epoch(train) [40][940/1879] lr: 1.0000e-02 eta: 2 days, 0:23:54 time: 0.4268 data_time: 0.0182 memory: 17087 grad_norm: 4.8766 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.6998 loss: 1.6998 2022/08/03 18:09:02 - mmengine - INFO - Epoch(train) [40][960/1879] lr: 1.0000e-02 eta: 2 days, 0:23:48 time: 0.4464 data_time: 0.0169 memory: 17087 grad_norm: 4.9400 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6312 loss: 1.6312 2022/08/03 18:09:10 - mmengine - INFO - Epoch(train) [40][980/1879] lr: 1.0000e-02 eta: 2 days, 0:23:40 time: 0.4309 data_time: 0.0205 memory: 17087 grad_norm: 4.8362 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5828 loss: 1.5828 2022/08/03 18:09:19 - mmengine - INFO - Epoch(train) [40][1000/1879] lr: 1.0000e-02 eta: 2 days, 0:23:33 time: 0.4498 data_time: 0.0158 memory: 17087 grad_norm: 4.9876 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8370 loss: 1.8370 2022/08/03 18:09:28 - mmengine - INFO - Epoch(train) [40][1020/1879] lr: 1.0000e-02 eta: 2 days, 0:23:24 time: 0.4233 data_time: 0.0150 memory: 17087 grad_norm: 4.8524 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5856 loss: 1.5856 2022/08/03 18:09:37 - mmengine - INFO - Epoch(train) [40][1040/1879] lr: 1.0000e-02 eta: 2 days, 0:23:18 time: 0.4494 data_time: 0.0165 memory: 17087 grad_norm: 4.9300 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6728 loss: 1.6728 2022/08/03 18:09:45 - mmengine - INFO - Epoch(train) [40][1060/1879] lr: 1.0000e-02 eta: 2 days, 0:23:09 time: 0.4222 data_time: 0.0132 memory: 17087 grad_norm: 5.0775 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5287 loss: 1.5287 2022/08/03 18:09:54 - mmengine - INFO - Epoch(train) [40][1080/1879] lr: 1.0000e-02 eta: 2 days, 0:23:01 time: 0.4322 data_time: 0.0215 memory: 17087 grad_norm: 4.7986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7000 loss: 1.7000 2022/08/03 18:10:02 - mmengine - INFO - Epoch(train) [40][1100/1879] lr: 1.0000e-02 eta: 2 days, 0:22:52 time: 0.4246 data_time: 0.0136 memory: 17087 grad_norm: 4.9855 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7928 loss: 1.7928 2022/08/03 18:10:11 - mmengine - INFO - Epoch(train) [40][1120/1879] lr: 1.0000e-02 eta: 2 days, 0:22:43 time: 0.4267 data_time: 0.0166 memory: 17087 grad_norm: 4.9023 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5349 loss: 1.5349 2022/08/03 18:10:19 - mmengine - INFO - Epoch(train) [40][1140/1879] lr: 1.0000e-02 eta: 2 days, 0:22:34 time: 0.4270 data_time: 0.0144 memory: 17087 grad_norm: 4.9673 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6655 loss: 1.6655 2022/08/03 18:10:28 - mmengine - INFO - Epoch(train) [40][1160/1879] lr: 1.0000e-02 eta: 2 days, 0:22:25 time: 0.4260 data_time: 0.0170 memory: 17087 grad_norm: 4.7409 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6914 loss: 1.6914 2022/08/03 18:10:37 - mmengine - INFO - Epoch(train) [40][1180/1879] lr: 1.0000e-02 eta: 2 days, 0:22:17 time: 0.4305 data_time: 0.0140 memory: 17087 grad_norm: 4.9998 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5315 loss: 1.5315 2022/08/03 18:10:45 - mmengine - INFO - Epoch(train) [40][1200/1879] lr: 1.0000e-02 eta: 2 days, 0:22:09 time: 0.4319 data_time: 0.0160 memory: 17087 grad_norm: 4.8502 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0174 loss: 2.0174 2022/08/03 18:10:54 - mmengine - INFO - Epoch(train) [40][1220/1879] lr: 1.0000e-02 eta: 2 days, 0:22:01 time: 0.4309 data_time: 0.0137 memory: 17087 grad_norm: 4.8843 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4949 loss: 1.4949 2022/08/03 18:11:03 - mmengine - INFO - Epoch(train) [40][1240/1879] lr: 1.0000e-02 eta: 2 days, 0:21:54 time: 0.4485 data_time: 0.0157 memory: 17087 grad_norm: 5.1187 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8140 loss: 1.8140 2022/08/03 18:11:11 - mmengine - INFO - Epoch(train) [40][1260/1879] lr: 1.0000e-02 eta: 2 days, 0:21:45 time: 0.4266 data_time: 0.0146 memory: 17087 grad_norm: 4.9149 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8524 loss: 1.8524 2022/08/03 18:11:20 - mmengine - INFO - Epoch(train) [40][1280/1879] lr: 1.0000e-02 eta: 2 days, 0:21:37 time: 0.4326 data_time: 0.0152 memory: 17087 grad_norm: 4.7933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5553 loss: 1.5553 2022/08/03 18:11:29 - mmengine - INFO - Epoch(train) [40][1300/1879] lr: 1.0000e-02 eta: 2 days, 0:21:29 time: 0.4287 data_time: 0.0148 memory: 17087 grad_norm: 4.9157 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6717 loss: 1.6717 2022/08/03 18:11:38 - mmengine - INFO - Epoch(train) [40][1320/1879] lr: 1.0000e-02 eta: 2 days, 0:21:22 time: 0.4472 data_time: 0.0166 memory: 17087 grad_norm: 5.0042 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6290 loss: 1.6290 2022/08/03 18:11:46 - mmengine - INFO - Epoch(train) [40][1340/1879] lr: 1.0000e-02 eta: 2 days, 0:21:13 time: 0.4245 data_time: 0.0158 memory: 17087 grad_norm: 4.9460 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5908 loss: 1.5908 2022/08/03 18:11:55 - mmengine - INFO - Epoch(train) [40][1360/1879] lr: 1.0000e-02 eta: 2 days, 0:21:04 time: 0.4257 data_time: 0.0149 memory: 17087 grad_norm: 4.9691 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6086 loss: 1.6086 2022/08/03 18:12:03 - mmengine - INFO - Epoch(train) [40][1380/1879] lr: 1.0000e-02 eta: 2 days, 0:20:57 time: 0.4371 data_time: 0.0153 memory: 17087 grad_norm: 4.7533 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6952 loss: 1.6952 2022/08/03 18:12:12 - mmengine - INFO - Epoch(train) [40][1400/1879] lr: 1.0000e-02 eta: 2 days, 0:20:50 time: 0.4460 data_time: 0.0151 memory: 17087 grad_norm: 4.7878 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6177 loss: 1.6177 2022/08/03 18:12:21 - mmengine - INFO - Epoch(train) [40][1420/1879] lr: 1.0000e-02 eta: 2 days, 0:20:41 time: 0.4245 data_time: 0.0122 memory: 17087 grad_norm: 4.9758 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8677 loss: 1.8677 2022/08/03 18:12:29 - mmengine - INFO - Epoch(train) [40][1440/1879] lr: 1.0000e-02 eta: 2 days, 0:20:33 time: 0.4287 data_time: 0.0171 memory: 17087 grad_norm: 4.8951 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5504 loss: 1.5504 2022/08/03 18:12:38 - mmengine - INFO - Epoch(train) [40][1460/1879] lr: 1.0000e-02 eta: 2 days, 0:20:24 time: 0.4234 data_time: 0.0127 memory: 17087 grad_norm: 4.9898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6341 loss: 1.6341 2022/08/03 18:12:47 - mmengine - INFO - Epoch(train) [40][1480/1879] lr: 1.0000e-02 eta: 2 days, 0:20:18 time: 0.4551 data_time: 0.0234 memory: 17087 grad_norm: 4.9800 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.8357 loss: 1.8357 2022/08/03 18:12:55 - mmengine - INFO - Epoch(train) [40][1500/1879] lr: 1.0000e-02 eta: 2 days, 0:20:09 time: 0.4233 data_time: 0.0124 memory: 17087 grad_norm: 4.9883 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6534 loss: 1.6534 2022/08/03 18:13:04 - mmengine - INFO - Epoch(train) [40][1520/1879] lr: 1.0000e-02 eta: 2 days, 0:20:00 time: 0.4273 data_time: 0.0164 memory: 17087 grad_norm: 4.8282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5392 loss: 1.5392 2022/08/03 18:13:13 - mmengine - INFO - Epoch(train) [40][1540/1879] lr: 1.0000e-02 eta: 2 days, 0:19:52 time: 0.4319 data_time: 0.0145 memory: 17087 grad_norm: 4.7839 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6309 loss: 1.6309 2022/08/03 18:13:21 - mmengine - INFO - Epoch(train) [40][1560/1879] lr: 1.0000e-02 eta: 2 days, 0:19:43 time: 0.4261 data_time: 0.0169 memory: 17087 grad_norm: 4.8709 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6695 loss: 1.6695 2022/08/03 18:13:30 - mmengine - INFO - Epoch(train) [40][1580/1879] lr: 1.0000e-02 eta: 2 days, 0:19:38 time: 0.4642 data_time: 0.0162 memory: 17087 grad_norm: 4.9144 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4935 loss: 1.4935 2022/08/03 18:13:39 - mmengine - INFO - Epoch(train) [40][1600/1879] lr: 1.0000e-02 eta: 2 days, 0:19:30 time: 0.4257 data_time: 0.0157 memory: 17087 grad_norm: 4.7712 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7418 loss: 1.7418 2022/08/03 18:13:48 - mmengine - INFO - Epoch(train) [40][1620/1879] lr: 1.0000e-02 eta: 2 days, 0:19:24 time: 0.4536 data_time: 0.0258 memory: 17087 grad_norm: 4.9070 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5903 loss: 1.5903 2022/08/03 18:13:57 - mmengine - INFO - Epoch(train) [40][1640/1879] lr: 1.0000e-02 eta: 2 days, 0:19:15 time: 0.4263 data_time: 0.0164 memory: 17087 grad_norm: 4.8454 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7703 loss: 1.7703 2022/08/03 18:14:05 - mmengine - INFO - Epoch(train) [40][1660/1879] lr: 1.0000e-02 eta: 2 days, 0:19:06 time: 0.4227 data_time: 0.0130 memory: 17087 grad_norm: 4.7888 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5228 loss: 1.5228 2022/08/03 18:14:14 - mmengine - INFO - Epoch(train) [40][1680/1879] lr: 1.0000e-02 eta: 2 days, 0:18:59 time: 0.4447 data_time: 0.0180 memory: 17087 grad_norm: 4.7851 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5766 loss: 1.5766 2022/08/03 18:14:23 - mmengine - INFO - Epoch(train) [40][1700/1879] lr: 1.0000e-02 eta: 2 days, 0:18:53 time: 0.4507 data_time: 0.0154 memory: 17087 grad_norm: 4.9951 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7907 loss: 1.7907 2022/08/03 18:14:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:14:32 - mmengine - INFO - Epoch(train) [40][1720/1879] lr: 1.0000e-02 eta: 2 days, 0:18:46 time: 0.4474 data_time: 0.0165 memory: 17087 grad_norm: 4.7705 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7972 loss: 1.7972 2022/08/03 18:14:40 - mmengine - INFO - Epoch(train) [40][1740/1879] lr: 1.0000e-02 eta: 2 days, 0:18:38 time: 0.4300 data_time: 0.0171 memory: 17087 grad_norm: 4.9416 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8504 loss: 1.8504 2022/08/03 18:14:49 - mmengine - INFO - Epoch(train) [40][1760/1879] lr: 1.0000e-02 eta: 2 days, 0:18:30 time: 0.4322 data_time: 0.0164 memory: 17087 grad_norm: 4.8851 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7513 loss: 1.7513 2022/08/03 18:14:58 - mmengine - INFO - Epoch(train) [40][1780/1879] lr: 1.0000e-02 eta: 2 days, 0:18:21 time: 0.4296 data_time: 0.0158 memory: 17087 grad_norm: 5.0695 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7792 loss: 1.7792 2022/08/03 18:15:06 - mmengine - INFO - Epoch(train) [40][1800/1879] lr: 1.0000e-02 eta: 2 days, 0:18:13 time: 0.4276 data_time: 0.0170 memory: 17087 grad_norm: 4.7671 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7048 loss: 1.7048 2022/08/03 18:15:15 - mmengine - INFO - Epoch(train) [40][1820/1879] lr: 1.0000e-02 eta: 2 days, 0:18:04 time: 0.4240 data_time: 0.0148 memory: 17087 grad_norm: 4.7654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8145 loss: 1.8145 2022/08/03 18:15:23 - mmengine - INFO - Epoch(train) [40][1840/1879] lr: 1.0000e-02 eta: 2 days, 0:17:55 time: 0.4276 data_time: 0.0172 memory: 17087 grad_norm: 4.9644 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6313 loss: 1.6313 2022/08/03 18:15:32 - mmengine - INFO - Epoch(train) [40][1860/1879] lr: 1.0000e-02 eta: 2 days, 0:17:47 time: 0.4298 data_time: 0.0158 memory: 17087 grad_norm: 4.7117 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8748 loss: 1.8748 2022/08/03 18:15:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:15:40 - mmengine - INFO - Epoch(train) [40][1879/1879] lr: 1.0000e-02 eta: 2 days, 0:17:47 time: 0.4074 data_time: 0.0155 memory: 17087 grad_norm: 4.9473 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.6167 loss: 1.6167 2022/08/03 18:15:40 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/08/03 18:15:50 - mmengine - INFO - Epoch(val) [40][20/155] eta: 0:00:48 time: 0.3614 data_time: 0.1937 memory: 2821 2022/08/03 18:15:55 - mmengine - INFO - Epoch(val) [40][40/155] eta: 0:00:28 time: 0.2506 data_time: 0.0845 memory: 2821 2022/08/03 18:16:01 - mmengine - INFO - Epoch(val) [40][60/155] eta: 0:00:29 time: 0.3074 data_time: 0.1392 memory: 2821 2022/08/03 18:16:07 - mmengine - INFO - Epoch(val) [40][80/155] eta: 0:00:20 time: 0.2794 data_time: 0.0988 memory: 2821 2022/08/03 18:16:13 - mmengine - INFO - Epoch(val) [40][100/155] eta: 0:00:16 time: 0.3024 data_time: 0.1344 memory: 2821 2022/08/03 18:16:18 - mmengine - INFO - Epoch(val) [40][120/155] eta: 0:00:09 time: 0.2692 data_time: 0.1003 memory: 2821 2022/08/03 18:16:25 - mmengine - INFO - Epoch(val) [40][140/155] eta: 0:00:04 time: 0.3129 data_time: 0.1479 memory: 2821 2022/08/03 18:16:29 - mmengine - INFO - Epoch(val) [40][155/155] acc/top1: 0.6414 acc/top5: 0.8549 acc/mean1: 0.6414 2022/08/03 18:16:40 - mmengine - INFO - Epoch(train) [41][20/1879] lr: 1.0000e-02 eta: 2 days, 0:16:59 time: 0.5480 data_time: 0.1059 memory: 17087 grad_norm: 4.9554 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7473 loss: 1.7473 2022/08/03 18:16:49 - mmengine - INFO - Epoch(train) [41][40/1879] lr: 1.0000e-02 eta: 2 days, 0:16:50 time: 0.4265 data_time: 0.0165 memory: 17087 grad_norm: 4.8772 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6675 loss: 1.6675 2022/08/03 18:16:57 - mmengine - INFO - Epoch(train) [41][60/1879] lr: 1.0000e-02 eta: 2 days, 0:16:41 time: 0.4234 data_time: 0.0142 memory: 17087 grad_norm: 4.8249 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4771 loss: 1.4771 2022/08/03 18:17:06 - mmengine - INFO - Epoch(train) [41][80/1879] lr: 1.0000e-02 eta: 2 days, 0:16:32 time: 0.4259 data_time: 0.0161 memory: 17087 grad_norm: 4.8881 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7222 loss: 1.7222 2022/08/03 18:17:15 - mmengine - INFO - Epoch(train) [41][100/1879] lr: 1.0000e-02 eta: 2 days, 0:16:25 time: 0.4384 data_time: 0.0126 memory: 17087 grad_norm: 4.8623 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8455 loss: 1.8455 2022/08/03 18:17:23 - mmengine - INFO - Epoch(train) [41][120/1879] lr: 1.0000e-02 eta: 2 days, 0:16:16 time: 0.4298 data_time: 0.0225 memory: 17087 grad_norm: 4.8683 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6315 loss: 1.6315 2022/08/03 18:17:32 - mmengine - INFO - Epoch(train) [41][140/1879] lr: 1.0000e-02 eta: 2 days, 0:16:09 time: 0.4416 data_time: 0.0144 memory: 17087 grad_norm: 4.8460 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5295 loss: 1.5295 2022/08/03 18:17:41 - mmengine - INFO - Epoch(train) [41][160/1879] lr: 1.0000e-02 eta: 2 days, 0:16:01 time: 0.4319 data_time: 0.0202 memory: 17087 grad_norm: 4.8785 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7089 loss: 1.7089 2022/08/03 18:17:49 - mmengine - INFO - Epoch(train) [41][180/1879] lr: 1.0000e-02 eta: 2 days, 0:15:54 time: 0.4435 data_time: 0.0150 memory: 17087 grad_norm: 4.7609 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4053 loss: 1.4053 2022/08/03 18:17:58 - mmengine - INFO - Epoch(train) [41][200/1879] lr: 1.0000e-02 eta: 2 days, 0:15:46 time: 0.4286 data_time: 0.0160 memory: 17087 grad_norm: 4.7305 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4575 loss: 1.4575 2022/08/03 18:18:07 - mmengine - INFO - Epoch(train) [41][220/1879] lr: 1.0000e-02 eta: 2 days, 0:15:38 time: 0.4334 data_time: 0.0159 memory: 17087 grad_norm: 4.8358 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6781 loss: 1.6781 2022/08/03 18:18:15 - mmengine - INFO - Epoch(train) [41][240/1879] lr: 1.0000e-02 eta: 2 days, 0:15:29 time: 0.4244 data_time: 0.0151 memory: 17087 grad_norm: 5.0770 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6094 loss: 1.6094 2022/08/03 18:18:24 - mmengine - INFO - Epoch(train) [41][260/1879] lr: 1.0000e-02 eta: 2 days, 0:15:20 time: 0.4247 data_time: 0.0134 memory: 17087 grad_norm: 4.8379 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5941 loss: 1.5941 2022/08/03 18:18:32 - mmengine - INFO - Epoch(train) [41][280/1879] lr: 1.0000e-02 eta: 2 days, 0:15:11 time: 0.4281 data_time: 0.0149 memory: 17087 grad_norm: 4.8945 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5981 loss: 1.5981 2022/08/03 18:18:41 - mmengine - INFO - Epoch(train) [41][300/1879] lr: 1.0000e-02 eta: 2 days, 0:15:02 time: 0.4271 data_time: 0.0168 memory: 17087 grad_norm: 4.8609 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6567 loss: 1.6567 2022/08/03 18:18:49 - mmengine - INFO - Epoch(train) [41][320/1879] lr: 1.0000e-02 eta: 2 days, 0:14:54 time: 0.4264 data_time: 0.0159 memory: 17087 grad_norm: 4.7712 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7149 loss: 1.7149 2022/08/03 18:18:58 - mmengine - INFO - Epoch(train) [41][340/1879] lr: 1.0000e-02 eta: 2 days, 0:14:45 time: 0.4287 data_time: 0.0159 memory: 17087 grad_norm: 4.8558 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5579 loss: 1.5579 2022/08/03 18:19:07 - mmengine - INFO - Epoch(train) [41][360/1879] lr: 1.0000e-02 eta: 2 days, 0:14:37 time: 0.4325 data_time: 0.0155 memory: 17087 grad_norm: 4.8051 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6561 loss: 1.6561 2022/08/03 18:19:15 - mmengine - INFO - Epoch(train) [41][380/1879] lr: 1.0000e-02 eta: 2 days, 0:14:28 time: 0.4237 data_time: 0.0139 memory: 17087 grad_norm: 4.8623 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9024 loss: 1.9024 2022/08/03 18:19:24 - mmengine - INFO - Epoch(train) [41][400/1879] lr: 1.0000e-02 eta: 2 days, 0:14:20 time: 0.4315 data_time: 0.0188 memory: 17087 grad_norm: 4.9646 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6822 loss: 1.6822 2022/08/03 18:19:33 - mmengine - INFO - Epoch(train) [41][420/1879] lr: 1.0000e-02 eta: 2 days, 0:14:12 time: 0.4375 data_time: 0.0143 memory: 17087 grad_norm: 5.0303 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8931 loss: 1.8931 2022/08/03 18:19:41 - mmengine - INFO - Epoch(train) [41][440/1879] lr: 1.0000e-02 eta: 2 days, 0:14:05 time: 0.4438 data_time: 0.0155 memory: 17087 grad_norm: 4.7460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7393 loss: 1.7393 2022/08/03 18:19:50 - mmengine - INFO - Epoch(train) [41][460/1879] lr: 1.0000e-02 eta: 2 days, 0:13:56 time: 0.4252 data_time: 0.0142 memory: 17087 grad_norm: 4.8285 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8328 loss: 1.8328 2022/08/03 18:19:59 - mmengine - INFO - Epoch(train) [41][480/1879] lr: 1.0000e-02 eta: 2 days, 0:13:48 time: 0.4319 data_time: 0.0150 memory: 17087 grad_norm: 4.8120 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8160 loss: 1.8160 2022/08/03 18:20:07 - mmengine - INFO - Epoch(train) [41][500/1879] lr: 1.0000e-02 eta: 2 days, 0:13:41 time: 0.4422 data_time: 0.0163 memory: 17087 grad_norm: 4.8007 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6620 loss: 1.6620 2022/08/03 18:20:16 - mmengine - INFO - Epoch(train) [41][520/1879] lr: 1.0000e-02 eta: 2 days, 0:13:32 time: 0.4251 data_time: 0.0171 memory: 17087 grad_norm: 4.8041 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7003 loss: 1.7003 2022/08/03 18:20:24 - mmengine - INFO - Epoch(train) [41][540/1879] lr: 1.0000e-02 eta: 2 days, 0:13:24 time: 0.4277 data_time: 0.0132 memory: 17087 grad_norm: 4.8003 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5409 loss: 1.5409 2022/08/03 18:20:33 - mmengine - INFO - Epoch(train) [41][560/1879] lr: 1.0000e-02 eta: 2 days, 0:13:15 time: 0.4274 data_time: 0.0154 memory: 17087 grad_norm: 4.8833 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8524 loss: 1.8524 2022/08/03 18:20:42 - mmengine - INFO - Epoch(train) [41][580/1879] lr: 1.0000e-02 eta: 2 days, 0:13:06 time: 0.4287 data_time: 0.0142 memory: 17087 grad_norm: 5.0915 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6768 loss: 1.6768 2022/08/03 18:20:51 - mmengine - INFO - Epoch(train) [41][600/1879] lr: 1.0000e-02 eta: 2 days, 0:13:00 time: 0.4466 data_time: 0.0160 memory: 17087 grad_norm: 4.9784 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7361 loss: 1.7361 2022/08/03 18:20:59 - mmengine - INFO - Epoch(train) [41][620/1879] lr: 1.0000e-02 eta: 2 days, 0:12:51 time: 0.4310 data_time: 0.0173 memory: 17087 grad_norm: 4.8858 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6884 loss: 1.6884 2022/08/03 18:21:08 - mmengine - INFO - Epoch(train) [41][640/1879] lr: 1.0000e-02 eta: 2 days, 0:12:43 time: 0.4291 data_time: 0.0170 memory: 17087 grad_norm: 4.7557 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6683 loss: 1.6683 2022/08/03 18:21:16 - mmengine - INFO - Epoch(train) [41][660/1879] lr: 1.0000e-02 eta: 2 days, 0:12:35 time: 0.4309 data_time: 0.0124 memory: 17087 grad_norm: 4.9621 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4973 loss: 1.4973 2022/08/03 18:21:25 - mmengine - INFO - Epoch(train) [41][680/1879] lr: 1.0000e-02 eta: 2 days, 0:12:26 time: 0.4277 data_time: 0.0178 memory: 17087 grad_norm: 5.0640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6007 loss: 1.6007 2022/08/03 18:21:33 - mmengine - INFO - Epoch(train) [41][700/1879] lr: 1.0000e-02 eta: 2 days, 0:12:17 time: 0.4280 data_time: 0.0164 memory: 17087 grad_norm: 4.8163 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8371 loss: 1.8371 2022/08/03 18:21:42 - mmengine - INFO - Epoch(train) [41][720/1879] lr: 1.0000e-02 eta: 2 days, 0:12:09 time: 0.4306 data_time: 0.0163 memory: 17087 grad_norm: 4.8073 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5540 loss: 1.5540 2022/08/03 18:21:51 - mmengine - INFO - Epoch(train) [41][740/1879] lr: 1.0000e-02 eta: 2 days, 0:12:02 time: 0.4406 data_time: 0.0149 memory: 17087 grad_norm: 4.7271 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6211 loss: 1.6211 2022/08/03 18:21:59 - mmengine - INFO - Epoch(train) [41][760/1879] lr: 1.0000e-02 eta: 2 days, 0:11:53 time: 0.4271 data_time: 0.0164 memory: 17087 grad_norm: 4.8218 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7790 loss: 1.7790 2022/08/03 18:22:08 - mmengine - INFO - Epoch(train) [41][780/1879] lr: 1.0000e-02 eta: 2 days, 0:11:46 time: 0.4391 data_time: 0.0133 memory: 17087 grad_norm: 4.7377 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7909 loss: 1.7909 2022/08/03 18:22:17 - mmengine - INFO - Epoch(train) [41][800/1879] lr: 1.0000e-02 eta: 2 days, 0:11:37 time: 0.4285 data_time: 0.0155 memory: 17087 grad_norm: 4.8996 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6507 loss: 1.6507 2022/08/03 18:22:25 - mmengine - INFO - Epoch(train) [41][820/1879] lr: 1.0000e-02 eta: 2 days, 0:11:28 time: 0.4261 data_time: 0.0140 memory: 17087 grad_norm: 5.0304 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8221 loss: 1.8221 2022/08/03 18:22:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:22:34 - mmengine - INFO - Epoch(train) [41][840/1879] lr: 1.0000e-02 eta: 2 days, 0:11:21 time: 0.4435 data_time: 0.0164 memory: 17087 grad_norm: 4.8284 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5477 loss: 1.5477 2022/08/03 18:22:43 - mmengine - INFO - Epoch(train) [41][860/1879] lr: 1.0000e-02 eta: 2 days, 0:11:13 time: 0.4253 data_time: 0.0139 memory: 17087 grad_norm: 4.8976 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6493 loss: 1.6493 2022/08/03 18:22:51 - mmengine - INFO - Epoch(train) [41][880/1879] lr: 1.0000e-02 eta: 2 days, 0:11:04 time: 0.4269 data_time: 0.0162 memory: 17087 grad_norm: 4.8615 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5305 loss: 1.5305 2022/08/03 18:23:00 - mmengine - INFO - Epoch(train) [41][900/1879] lr: 1.0000e-02 eta: 2 days, 0:10:55 time: 0.4261 data_time: 0.0149 memory: 17087 grad_norm: 4.8772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7070 loss: 1.7070 2022/08/03 18:23:09 - mmengine - INFO - Epoch(train) [41][920/1879] lr: 1.0000e-02 eta: 2 days, 0:10:49 time: 0.4476 data_time: 0.0177 memory: 17087 grad_norm: 4.9634 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5363 loss: 1.5363 2022/08/03 18:23:17 - mmengine - INFO - Epoch(train) [41][940/1879] lr: 1.0000e-02 eta: 2 days, 0:10:40 time: 0.4290 data_time: 0.0192 memory: 17087 grad_norm: 4.9274 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5469 loss: 1.5469 2022/08/03 18:23:26 - mmengine - INFO - Epoch(train) [41][960/1879] lr: 1.0000e-02 eta: 2 days, 0:10:31 time: 0.4259 data_time: 0.0153 memory: 17087 grad_norm: 5.0818 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7444 loss: 1.7444 2022/08/03 18:23:35 - mmengine - INFO - Epoch(train) [41][980/1879] lr: 1.0000e-02 eta: 2 days, 0:10:24 time: 0.4417 data_time: 0.0145 memory: 17087 grad_norm: 4.8996 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.5107 loss: 1.5107 2022/08/03 18:23:43 - mmengine - INFO - Epoch(train) [41][1000/1879] lr: 1.0000e-02 eta: 2 days, 0:10:16 time: 0.4309 data_time: 0.0201 memory: 17087 grad_norm: 4.9365 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7828 loss: 1.7828 2022/08/03 18:23:52 - mmengine - INFO - Epoch(train) [41][1020/1879] lr: 1.0000e-02 eta: 2 days, 0:10:09 time: 0.4452 data_time: 0.0138 memory: 17087 grad_norm: 4.8368 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7057 loss: 1.7057 2022/08/03 18:24:01 - mmengine - INFO - Epoch(train) [41][1040/1879] lr: 1.0000e-02 eta: 2 days, 0:10:01 time: 0.4309 data_time: 0.0209 memory: 17087 grad_norm: 4.8572 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6696 loss: 1.6696 2022/08/03 18:24:10 - mmengine - INFO - Epoch(train) [41][1060/1879] lr: 1.0000e-02 eta: 2 days, 0:09:53 time: 0.4402 data_time: 0.0146 memory: 17087 grad_norm: 4.7967 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7566 loss: 1.7566 2022/08/03 18:24:18 - mmengine - INFO - Epoch(train) [41][1080/1879] lr: 1.0000e-02 eta: 2 days, 0:09:45 time: 0.4281 data_time: 0.0176 memory: 17087 grad_norm: 4.8438 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6513 loss: 1.6513 2022/08/03 18:24:27 - mmengine - INFO - Epoch(train) [41][1100/1879] lr: 1.0000e-02 eta: 2 days, 0:09:37 time: 0.4311 data_time: 0.0150 memory: 17087 grad_norm: 4.8258 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5744 loss: 1.5744 2022/08/03 18:24:35 - mmengine - INFO - Epoch(train) [41][1120/1879] lr: 1.0000e-02 eta: 2 days, 0:09:28 time: 0.4249 data_time: 0.0169 memory: 17087 grad_norm: 4.8569 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7009 loss: 1.7009 2022/08/03 18:24:44 - mmengine - INFO - Epoch(train) [41][1140/1879] lr: 1.0000e-02 eta: 2 days, 0:09:19 time: 0.4283 data_time: 0.0145 memory: 17087 grad_norm: 4.8341 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7717 loss: 1.7717 2022/08/03 18:24:53 - mmengine - INFO - Epoch(train) [41][1160/1879] lr: 1.0000e-02 eta: 2 days, 0:09:10 time: 0.4267 data_time: 0.0168 memory: 17087 grad_norm: 4.9445 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0365 loss: 2.0365 2022/08/03 18:25:01 - mmengine - INFO - Epoch(train) [41][1180/1879] lr: 1.0000e-02 eta: 2 days, 0:09:02 time: 0.4283 data_time: 0.0147 memory: 17087 grad_norm: 4.8434 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6739 loss: 1.6739 2022/08/03 18:25:10 - mmengine - INFO - Epoch(train) [41][1200/1879] lr: 1.0000e-02 eta: 2 days, 0:08:53 time: 0.4300 data_time: 0.0189 memory: 17087 grad_norm: 4.9258 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7051 loss: 1.7051 2022/08/03 18:25:18 - mmengine - INFO - Epoch(train) [41][1220/1879] lr: 1.0000e-02 eta: 2 days, 0:08:45 time: 0.4293 data_time: 0.0152 memory: 17087 grad_norm: 4.9549 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6598 loss: 1.6598 2022/08/03 18:25:27 - mmengine - INFO - Epoch(train) [41][1240/1879] lr: 1.0000e-02 eta: 2 days, 0:08:38 time: 0.4403 data_time: 0.0152 memory: 17087 grad_norm: 5.0220 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6008 loss: 1.6008 2022/08/03 18:25:36 - mmengine - INFO - Epoch(train) [41][1260/1879] lr: 1.0000e-02 eta: 2 days, 0:08:29 time: 0.4245 data_time: 0.0139 memory: 17087 grad_norm: 4.8141 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5182 loss: 1.5182 2022/08/03 18:25:44 - mmengine - INFO - Epoch(train) [41][1280/1879] lr: 1.0000e-02 eta: 2 days, 0:08:20 time: 0.4271 data_time: 0.0156 memory: 17087 grad_norm: 4.8856 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5396 loss: 1.5396 2022/08/03 18:25:53 - mmengine - INFO - Epoch(train) [41][1300/1879] lr: 1.0000e-02 eta: 2 days, 0:08:11 time: 0.4283 data_time: 0.0159 memory: 17087 grad_norm: 4.8590 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4019 loss: 1.4019 2022/08/03 18:26:01 - mmengine - INFO - Epoch(train) [41][1320/1879] lr: 1.0000e-02 eta: 2 days, 0:08:03 time: 0.4301 data_time: 0.0141 memory: 17087 grad_norm: 4.9007 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8139 loss: 1.8139 2022/08/03 18:26:10 - mmengine - INFO - Epoch(train) [41][1340/1879] lr: 1.0000e-02 eta: 2 days, 0:07:56 time: 0.4455 data_time: 0.0150 memory: 17087 grad_norm: 4.7732 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5821 loss: 1.5821 2022/08/03 18:26:19 - mmengine - INFO - Epoch(train) [41][1360/1879] lr: 1.0000e-02 eta: 2 days, 0:07:48 time: 0.4362 data_time: 0.0168 memory: 17087 grad_norm: 4.9336 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6368 loss: 1.6368 2022/08/03 18:26:28 - mmengine - INFO - Epoch(train) [41][1380/1879] lr: 1.0000e-02 eta: 2 days, 0:07:42 time: 0.4470 data_time: 0.0143 memory: 17087 grad_norm: 5.0122 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7859 loss: 1.7859 2022/08/03 18:26:36 - mmengine - INFO - Epoch(train) [41][1400/1879] lr: 1.0000e-02 eta: 2 days, 0:07:33 time: 0.4242 data_time: 0.0151 memory: 17087 grad_norm: 4.8510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4910 loss: 1.4910 2022/08/03 18:26:45 - mmengine - INFO - Epoch(train) [41][1420/1879] lr: 1.0000e-02 eta: 2 days, 0:07:24 time: 0.4251 data_time: 0.0128 memory: 17087 grad_norm: 4.8949 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5960 loss: 1.5960 2022/08/03 18:26:54 - mmengine - INFO - Epoch(train) [41][1440/1879] lr: 1.0000e-02 eta: 2 days, 0:07:17 time: 0.4466 data_time: 0.0154 memory: 17087 grad_norm: 5.0741 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7212 loss: 1.7212 2022/08/03 18:27:02 - mmengine - INFO - Epoch(train) [41][1460/1879] lr: 1.0000e-02 eta: 2 days, 0:07:08 time: 0.4239 data_time: 0.0144 memory: 17087 grad_norm: 4.8378 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6489 loss: 1.6489 2022/08/03 18:27:11 - mmengine - INFO - Epoch(train) [41][1480/1879] lr: 1.0000e-02 eta: 2 days, 0:07:01 time: 0.4454 data_time: 0.0146 memory: 17087 grad_norm: 4.8347 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7792 loss: 1.7792 2022/08/03 18:27:20 - mmengine - INFO - Epoch(train) [41][1500/1879] lr: 1.0000e-02 eta: 2 days, 0:06:52 time: 0.4238 data_time: 0.0143 memory: 17087 grad_norm: 4.9040 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7236 loss: 1.7236 2022/08/03 18:27:29 - mmengine - INFO - Epoch(train) [41][1520/1879] lr: 1.0000e-02 eta: 2 days, 0:06:46 time: 0.4447 data_time: 0.0160 memory: 17087 grad_norm: 4.7818 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.6686 loss: 1.6686 2022/08/03 18:27:37 - mmengine - INFO - Epoch(train) [41][1540/1879] lr: 1.0000e-02 eta: 2 days, 0:06:37 time: 0.4238 data_time: 0.0128 memory: 17087 grad_norm: 4.8195 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5964 loss: 1.5964 2022/08/03 18:27:46 - mmengine - INFO - Epoch(train) [41][1560/1879] lr: 1.0000e-02 eta: 2 days, 0:06:28 time: 0.4262 data_time: 0.0154 memory: 17087 grad_norm: 4.8426 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6728 loss: 1.6728 2022/08/03 18:27:54 - mmengine - INFO - Epoch(train) [41][1580/1879] lr: 1.0000e-02 eta: 2 days, 0:06:20 time: 0.4362 data_time: 0.0163 memory: 17087 grad_norm: 4.7840 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7316 loss: 1.7316 2022/08/03 18:28:03 - mmengine - INFO - Epoch(train) [41][1600/1879] lr: 1.0000e-02 eta: 2 days, 0:06:11 time: 0.4257 data_time: 0.0157 memory: 17087 grad_norm: 4.9093 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6844 loss: 1.6844 2022/08/03 18:28:11 - mmengine - INFO - Epoch(train) [41][1620/1879] lr: 1.0000e-02 eta: 2 days, 0:06:03 time: 0.4295 data_time: 0.0157 memory: 17087 grad_norm: 4.9533 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6644 loss: 1.6644 2022/08/03 18:28:20 - mmengine - INFO - Epoch(train) [41][1640/1879] lr: 1.0000e-02 eta: 2 days, 0:05:54 time: 0.4271 data_time: 0.0154 memory: 17087 grad_norm: 4.9607 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6129 loss: 1.6129 2022/08/03 18:28:29 - mmengine - INFO - Epoch(train) [41][1660/1879] lr: 1.0000e-02 eta: 2 days, 0:05:49 time: 0.4598 data_time: 0.0156 memory: 17087 grad_norm: 4.8863 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7041 loss: 1.7041 2022/08/03 18:28:38 - mmengine - INFO - Epoch(train) [41][1680/1879] lr: 1.0000e-02 eta: 2 days, 0:05:40 time: 0.4298 data_time: 0.0191 memory: 17087 grad_norm: 4.7777 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3931 loss: 1.3931 2022/08/03 18:28:46 - mmengine - INFO - Epoch(train) [41][1700/1879] lr: 1.0000e-02 eta: 2 days, 0:05:31 time: 0.4244 data_time: 0.0146 memory: 17087 grad_norm: 4.8179 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6580 loss: 1.6580 2022/08/03 18:28:55 - mmengine - INFO - Epoch(train) [41][1720/1879] lr: 1.0000e-02 eta: 2 days, 0:05:23 time: 0.4323 data_time: 0.0157 memory: 17087 grad_norm: 4.9895 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6227 loss: 1.6227 2022/08/03 18:29:04 - mmengine - INFO - Epoch(train) [41][1740/1879] lr: 1.0000e-02 eta: 2 days, 0:05:15 time: 0.4280 data_time: 0.0133 memory: 17087 grad_norm: 4.9265 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6223 loss: 1.6223 2022/08/03 18:29:12 - mmengine - INFO - Epoch(train) [41][1760/1879] lr: 1.0000e-02 eta: 2 days, 0:05:06 time: 0.4272 data_time: 0.0162 memory: 17087 grad_norm: 4.7971 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4168 loss: 1.4168 2022/08/03 18:29:21 - mmengine - INFO - Epoch(train) [41][1780/1879] lr: 1.0000e-02 eta: 2 days, 0:04:57 time: 0.4256 data_time: 0.0135 memory: 17087 grad_norm: 4.6931 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5083 loss: 1.5083 2022/08/03 18:29:29 - mmengine - INFO - Epoch(train) [41][1800/1879] lr: 1.0000e-02 eta: 2 days, 0:04:49 time: 0.4369 data_time: 0.0175 memory: 17087 grad_norm: 4.8889 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4167 loss: 1.4167 2022/08/03 18:29:38 - mmengine - INFO - Epoch(train) [41][1820/1879] lr: 1.0000e-02 eta: 2 days, 0:04:41 time: 0.4274 data_time: 0.0148 memory: 17087 grad_norm: 4.9811 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5357 loss: 1.5357 2022/08/03 18:29:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:29:46 - mmengine - INFO - Epoch(train) [41][1840/1879] lr: 1.0000e-02 eta: 2 days, 0:04:32 time: 0.4251 data_time: 0.0156 memory: 17087 grad_norm: 4.9053 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7514 loss: 1.7514 2022/08/03 18:29:55 - mmengine - INFO - Epoch(train) [41][1860/1879] lr: 1.0000e-02 eta: 2 days, 0:04:24 time: 0.4336 data_time: 0.0149 memory: 17087 grad_norm: 4.5770 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5227 loss: 1.5227 2022/08/03 18:30:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:30:03 - mmengine - INFO - Epoch(train) [41][1879/1879] lr: 1.0000e-02 eta: 2 days, 0:04:24 time: 0.4060 data_time: 0.0148 memory: 17087 grad_norm: 4.9433 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.6701 loss: 1.6701 2022/08/03 18:30:14 - mmengine - INFO - Epoch(train) [42][20/1879] lr: 1.0000e-02 eta: 2 days, 0:03:38 time: 0.5565 data_time: 0.1229 memory: 17087 grad_norm: 4.6904 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6661 loss: 1.6661 2022/08/03 18:30:23 - mmengine - INFO - Epoch(train) [42][40/1879] lr: 1.0000e-02 eta: 2 days, 0:03:30 time: 0.4316 data_time: 0.0214 memory: 17087 grad_norm: 4.8356 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5084 loss: 1.5084 2022/08/03 18:30:31 - mmengine - INFO - Epoch(train) [42][60/1879] lr: 1.0000e-02 eta: 2 days, 0:03:21 time: 0.4248 data_time: 0.0164 memory: 17087 grad_norm: 4.8274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6335 loss: 1.6335 2022/08/03 18:30:40 - mmengine - INFO - Epoch(train) [42][80/1879] lr: 1.0000e-02 eta: 2 days, 0:03:12 time: 0.4288 data_time: 0.0169 memory: 17087 grad_norm: 4.7565 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5886 loss: 1.5886 2022/08/03 18:30:48 - mmengine - INFO - Epoch(train) [42][100/1879] lr: 1.0000e-02 eta: 2 days, 0:03:03 time: 0.4254 data_time: 0.0138 memory: 17087 grad_norm: 4.6484 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4770 loss: 1.4770 2022/08/03 18:30:57 - mmengine - INFO - Epoch(train) [42][120/1879] lr: 1.0000e-02 eta: 2 days, 0:02:54 time: 0.4242 data_time: 0.0150 memory: 17087 grad_norm: 4.8093 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6166 loss: 1.6166 2022/08/03 18:31:05 - mmengine - INFO - Epoch(train) [42][140/1879] lr: 1.0000e-02 eta: 2 days, 0:02:46 time: 0.4278 data_time: 0.0139 memory: 17087 grad_norm: 5.0018 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7111 loss: 1.7111 2022/08/03 18:31:14 - mmengine - INFO - Epoch(train) [42][160/1879] lr: 1.0000e-02 eta: 2 days, 0:02:37 time: 0.4282 data_time: 0.0178 memory: 17087 grad_norm: 4.9096 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6110 loss: 1.6110 2022/08/03 18:31:23 - mmengine - INFO - Epoch(train) [42][180/1879] lr: 1.0000e-02 eta: 2 days, 0:02:29 time: 0.4347 data_time: 0.0157 memory: 17087 grad_norm: 4.8541 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4501 loss: 1.4501 2022/08/03 18:31:31 - mmengine - INFO - Epoch(train) [42][200/1879] lr: 1.0000e-02 eta: 2 days, 0:02:20 time: 0.4258 data_time: 0.0156 memory: 17087 grad_norm: 5.0344 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5501 loss: 1.5501 2022/08/03 18:31:40 - mmengine - INFO - Epoch(train) [42][220/1879] lr: 1.0000e-02 eta: 2 days, 0:02:12 time: 0.4290 data_time: 0.0151 memory: 17087 grad_norm: 4.8027 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6336 loss: 1.6336 2022/08/03 18:31:48 - mmengine - INFO - Epoch(train) [42][240/1879] lr: 1.0000e-02 eta: 2 days, 0:02:04 time: 0.4378 data_time: 0.0175 memory: 17087 grad_norm: 4.7052 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5665 loss: 1.5665 2022/08/03 18:31:57 - mmengine - INFO - Epoch(train) [42][260/1879] lr: 1.0000e-02 eta: 2 days, 0:01:55 time: 0.4237 data_time: 0.0152 memory: 17087 grad_norm: 4.9665 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5602 loss: 1.5602 2022/08/03 18:32:05 - mmengine - INFO - Epoch(train) [42][280/1879] lr: 1.0000e-02 eta: 2 days, 0:01:47 time: 0.4301 data_time: 0.0189 memory: 17087 grad_norm: 4.8196 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5499 loss: 1.5499 2022/08/03 18:32:14 - mmengine - INFO - Epoch(train) [42][300/1879] lr: 1.0000e-02 eta: 2 days, 0:01:40 time: 0.4448 data_time: 0.0147 memory: 17087 grad_norm: 4.7991 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4559 loss: 1.4559 2022/08/03 18:32:23 - mmengine - INFO - Epoch(train) [42][320/1879] lr: 1.0000e-02 eta: 2 days, 0:01:32 time: 0.4289 data_time: 0.0198 memory: 17087 grad_norm: 4.7695 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5500 loss: 1.5500 2022/08/03 18:32:32 - mmengine - INFO - Epoch(train) [42][340/1879] lr: 1.0000e-02 eta: 2 days, 0:01:26 time: 0.4549 data_time: 0.0161 memory: 17087 grad_norm: 4.9462 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6756 loss: 1.6756 2022/08/03 18:32:41 - mmengine - INFO - Epoch(train) [42][360/1879] lr: 1.0000e-02 eta: 2 days, 0:01:18 time: 0.4352 data_time: 0.0207 memory: 17087 grad_norm: 4.8687 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.8867 loss: 1.8867 2022/08/03 18:32:50 - mmengine - INFO - Epoch(train) [42][380/1879] lr: 1.0000e-02 eta: 2 days, 0:01:12 time: 0.4564 data_time: 0.0151 memory: 17087 grad_norm: 4.7962 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6946 loss: 1.6946 2022/08/03 18:32:58 - mmengine - INFO - Epoch(train) [42][400/1879] lr: 1.0000e-02 eta: 2 days, 0:01:04 time: 0.4300 data_time: 0.0154 memory: 17087 grad_norm: 4.8531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6459 loss: 1.6459 2022/08/03 18:33:07 - mmengine - INFO - Epoch(train) [42][420/1879] lr: 1.0000e-02 eta: 2 days, 0:00:55 time: 0.4234 data_time: 0.0168 memory: 17087 grad_norm: 4.7949 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5684 loss: 1.5684 2022/08/03 18:33:16 - mmengine - INFO - Epoch(train) [42][440/1879] lr: 1.0000e-02 eta: 2 days, 0:00:46 time: 0.4280 data_time: 0.0159 memory: 17087 grad_norm: 4.8429 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5849 loss: 1.5849 2022/08/03 18:33:24 - mmengine - INFO - Epoch(train) [42][460/1879] lr: 1.0000e-02 eta: 2 days, 0:00:37 time: 0.4253 data_time: 0.0166 memory: 17087 grad_norm: 4.8197 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6325 loss: 1.6325 2022/08/03 18:33:33 - mmengine - INFO - Epoch(train) [42][480/1879] lr: 1.0000e-02 eta: 2 days, 0:00:29 time: 0.4345 data_time: 0.0173 memory: 17087 grad_norm: 4.8797 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4538 loss: 1.4538 2022/08/03 18:33:41 - mmengine - INFO - Epoch(train) [42][500/1879] lr: 1.0000e-02 eta: 2 days, 0:00:20 time: 0.4228 data_time: 0.0131 memory: 17087 grad_norm: 4.8563 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4996 loss: 1.4996 2022/08/03 18:33:50 - mmengine - INFO - Epoch(train) [42][520/1879] lr: 1.0000e-02 eta: 2 days, 0:00:12 time: 0.4318 data_time: 0.0167 memory: 17087 grad_norm: 4.7777 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7051 loss: 1.7051 2022/08/03 18:33:58 - mmengine - INFO - Epoch(train) [42][540/1879] lr: 1.0000e-02 eta: 2 days, 0:00:03 time: 0.4254 data_time: 0.0169 memory: 17087 grad_norm: 4.8823 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7998 loss: 1.7998 2022/08/03 18:34:07 - mmengine - INFO - Epoch(train) [42][560/1879] lr: 1.0000e-02 eta: 1 day, 23:59:54 time: 0.4259 data_time: 0.0143 memory: 17087 grad_norm: 4.9823 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7392 loss: 1.7392 2022/08/03 18:34:16 - mmengine - INFO - Epoch(train) [42][580/1879] lr: 1.0000e-02 eta: 1 day, 23:59:48 time: 0.4473 data_time: 0.0144 memory: 17087 grad_norm: 4.8551 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7093 loss: 1.7093 2022/08/03 18:34:24 - mmengine - INFO - Epoch(train) [42][600/1879] lr: 1.0000e-02 eta: 1 day, 23:59:39 time: 0.4316 data_time: 0.0212 memory: 17087 grad_norm: 4.9150 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5952 loss: 1.5952 2022/08/03 18:34:33 - mmengine - INFO - Epoch(train) [42][620/1879] lr: 1.0000e-02 eta: 1 day, 23:59:31 time: 0.4316 data_time: 0.0141 memory: 17087 grad_norm: 4.7483 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5412 loss: 1.5412 2022/08/03 18:34:42 - mmengine - INFO - Epoch(train) [42][640/1879] lr: 1.0000e-02 eta: 1 day, 23:59:22 time: 0.4264 data_time: 0.0158 memory: 17087 grad_norm: 5.0300 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8062 loss: 1.8062 2022/08/03 18:34:51 - mmengine - INFO - Epoch(train) [42][660/1879] lr: 1.0000e-02 eta: 1 day, 23:59:17 time: 0.4589 data_time: 0.0167 memory: 17087 grad_norm: 4.8732 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6223 loss: 1.6223 2022/08/03 18:34:59 - mmengine - INFO - Epoch(train) [42][680/1879] lr: 1.0000e-02 eta: 1 day, 23:59:08 time: 0.4239 data_time: 0.0143 memory: 17087 grad_norm: 4.8477 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6158 loss: 1.6158 2022/08/03 18:35:08 - mmengine - INFO - Epoch(train) [42][700/1879] lr: 1.0000e-02 eta: 1 day, 23:59:01 time: 0.4451 data_time: 0.0150 memory: 17087 grad_norm: 4.9070 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6613 loss: 1.6613 2022/08/03 18:35:17 - mmengine - INFO - Epoch(train) [42][720/1879] lr: 1.0000e-02 eta: 1 day, 23:58:52 time: 0.4234 data_time: 0.0157 memory: 17087 grad_norm: 4.7586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3377 loss: 1.3377 2022/08/03 18:35:25 - mmengine - INFO - Epoch(train) [42][740/1879] lr: 1.0000e-02 eta: 1 day, 23:58:43 time: 0.4257 data_time: 0.0144 memory: 17087 grad_norm: 4.9426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7180 loss: 1.7180 2022/08/03 18:35:34 - mmengine - INFO - Epoch(train) [42][760/1879] lr: 1.0000e-02 eta: 1 day, 23:58:35 time: 0.4300 data_time: 0.0172 memory: 17087 grad_norm: 4.9429 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6537 loss: 1.6537 2022/08/03 18:35:42 - mmengine - INFO - Epoch(train) [42][780/1879] lr: 1.0000e-02 eta: 1 day, 23:58:26 time: 0.4271 data_time: 0.0141 memory: 17087 grad_norm: 4.9395 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5828 loss: 1.5828 2022/08/03 18:35:51 - mmengine - INFO - Epoch(train) [42][800/1879] lr: 1.0000e-02 eta: 1 day, 23:58:19 time: 0.4439 data_time: 0.0172 memory: 17087 grad_norm: 4.7821 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8910 loss: 1.8910 2022/08/03 18:36:00 - mmengine - INFO - Epoch(train) [42][820/1879] lr: 1.0000e-02 eta: 1 day, 23:58:11 time: 0.4314 data_time: 0.0170 memory: 17087 grad_norm: 4.9651 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8517 loss: 1.8517 2022/08/03 18:36:09 - mmengine - INFO - Epoch(train) [42][840/1879] lr: 1.0000e-02 eta: 1 day, 23:58:03 time: 0.4370 data_time: 0.0139 memory: 17087 grad_norm: 4.9972 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8242 loss: 1.8242 2022/08/03 18:36:17 - mmengine - INFO - Epoch(train) [42][860/1879] lr: 1.0000e-02 eta: 1 day, 23:57:54 time: 0.4252 data_time: 0.0152 memory: 17087 grad_norm: 4.7868 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5903 loss: 1.5903 2022/08/03 18:36:26 - mmengine - INFO - Epoch(train) [42][880/1879] lr: 1.0000e-02 eta: 1 day, 23:57:47 time: 0.4398 data_time: 0.0150 memory: 17087 grad_norm: 4.8821 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6522 loss: 1.6522 2022/08/03 18:36:35 - mmengine - INFO - Epoch(train) [42][900/1879] lr: 1.0000e-02 eta: 1 day, 23:57:39 time: 0.4287 data_time: 0.0181 memory: 17087 grad_norm: 4.8279 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6842 loss: 1.6842 2022/08/03 18:36:43 - mmengine - INFO - Epoch(train) [42][920/1879] lr: 1.0000e-02 eta: 1 day, 23:57:30 time: 0.4315 data_time: 0.0177 memory: 17087 grad_norm: 4.8271 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5200 loss: 1.5200 2022/08/03 18:36:52 - mmengine - INFO - Epoch(train) [42][940/1879] lr: 1.0000e-02 eta: 1 day, 23:57:22 time: 0.4346 data_time: 0.0167 memory: 17087 grad_norm: 4.6106 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6223 loss: 1.6223 2022/08/03 18:37:00 - mmengine - INFO - Epoch(train) [42][960/1879] lr: 1.0000e-02 eta: 1 day, 23:57:14 time: 0.4260 data_time: 0.0174 memory: 17087 grad_norm: 4.9190 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6408 loss: 1.6408 2022/08/03 18:37:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:37:09 - mmengine - INFO - Epoch(train) [42][980/1879] lr: 1.0000e-02 eta: 1 day, 23:57:07 time: 0.4466 data_time: 0.0163 memory: 17087 grad_norm: 4.8856 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5741 loss: 1.5741 2022/08/03 18:37:18 - mmengine - INFO - Epoch(train) [42][1000/1879] lr: 1.0000e-02 eta: 1 day, 23:56:58 time: 0.4252 data_time: 0.0159 memory: 17087 grad_norm: 4.9914 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8742 loss: 1.8742 2022/08/03 18:37:26 - mmengine - INFO - Epoch(train) [42][1020/1879] lr: 1.0000e-02 eta: 1 day, 23:56:50 time: 0.4291 data_time: 0.0142 memory: 17087 grad_norm: 4.9571 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6818 loss: 1.6818 2022/08/03 18:37:35 - mmengine - INFO - Epoch(train) [42][1040/1879] lr: 1.0000e-02 eta: 1 day, 23:56:41 time: 0.4315 data_time: 0.0169 memory: 17087 grad_norm: 4.8911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4246 loss: 1.4246 2022/08/03 18:37:44 - mmengine - INFO - Epoch(train) [42][1060/1879] lr: 1.0000e-02 eta: 1 day, 23:56:33 time: 0.4287 data_time: 0.0137 memory: 17087 grad_norm: 4.7722 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6771 loss: 1.6771 2022/08/03 18:37:52 - mmengine - INFO - Epoch(train) [42][1080/1879] lr: 1.0000e-02 eta: 1 day, 23:56:25 time: 0.4391 data_time: 0.0165 memory: 17087 grad_norm: 4.7759 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5384 loss: 1.5384 2022/08/03 18:38:01 - mmengine - INFO - Epoch(train) [42][1100/1879] lr: 1.0000e-02 eta: 1 day, 23:56:17 time: 0.4303 data_time: 0.0132 memory: 17087 grad_norm: 4.8503 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6407 loss: 1.6407 2022/08/03 18:38:10 - mmengine - INFO - Epoch(train) [42][1120/1879] lr: 1.0000e-02 eta: 1 day, 23:56:08 time: 0.4262 data_time: 0.0182 memory: 17087 grad_norm: 4.7794 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7072 loss: 1.7072 2022/08/03 18:38:18 - mmengine - INFO - Epoch(train) [42][1140/1879] lr: 1.0000e-02 eta: 1 day, 23:55:59 time: 0.4238 data_time: 0.0147 memory: 17087 grad_norm: 4.7507 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8269 loss: 1.8269 2022/08/03 18:38:27 - mmengine - INFO - Epoch(train) [42][1160/1879] lr: 1.0000e-02 eta: 1 day, 23:55:50 time: 0.4250 data_time: 0.0155 memory: 17087 grad_norm: 4.8374 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8878 loss: 1.8878 2022/08/03 18:38:35 - mmengine - INFO - Epoch(train) [42][1180/1879] lr: 1.0000e-02 eta: 1 day, 23:55:41 time: 0.4261 data_time: 0.0148 memory: 17087 grad_norm: 4.8189 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6298 loss: 1.6298 2022/08/03 18:38:44 - mmengine - INFO - Epoch(train) [42][1200/1879] lr: 1.0000e-02 eta: 1 day, 23:55:33 time: 0.4269 data_time: 0.0167 memory: 17087 grad_norm: 5.0020 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 1.7581 loss: 1.7581 2022/08/03 18:38:52 - mmengine - INFO - Epoch(train) [42][1220/1879] lr: 1.0000e-02 eta: 1 day, 23:55:24 time: 0.4317 data_time: 0.0157 memory: 17087 grad_norm: 4.7375 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4545 loss: 1.4545 2022/08/03 18:39:01 - mmengine - INFO - Epoch(train) [42][1240/1879] lr: 1.0000e-02 eta: 1 day, 23:55:16 time: 0.4258 data_time: 0.0153 memory: 17087 grad_norm: 4.8968 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5859 loss: 1.5859 2022/08/03 18:39:09 - mmengine - INFO - Epoch(train) [42][1260/1879] lr: 1.0000e-02 eta: 1 day, 23:55:07 time: 0.4268 data_time: 0.0163 memory: 17087 grad_norm: 4.8488 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7018 loss: 1.7018 2022/08/03 18:39:18 - mmengine - INFO - Epoch(train) [42][1280/1879] lr: 1.0000e-02 eta: 1 day, 23:54:58 time: 0.4249 data_time: 0.0150 memory: 17087 grad_norm: 4.8823 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.7717 loss: 1.7717 2022/08/03 18:39:26 - mmengine - INFO - Epoch(train) [42][1300/1879] lr: 1.0000e-02 eta: 1 day, 23:54:49 time: 0.4248 data_time: 0.0144 memory: 17087 grad_norm: 4.8260 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9538 loss: 1.9538 2022/08/03 18:39:35 - mmengine - INFO - Epoch(train) [42][1320/1879] lr: 1.0000e-02 eta: 1 day, 23:54:41 time: 0.4287 data_time: 0.0172 memory: 17087 grad_norm: 4.9575 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6667 loss: 1.6667 2022/08/03 18:39:43 - mmengine - INFO - Epoch(train) [42][1340/1879] lr: 1.0000e-02 eta: 1 day, 23:54:32 time: 0.4291 data_time: 0.0139 memory: 17087 grad_norm: 4.9969 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6213 loss: 1.6213 2022/08/03 18:39:52 - mmengine - INFO - Epoch(train) [42][1360/1879] lr: 1.0000e-02 eta: 1 day, 23:54:25 time: 0.4397 data_time: 0.0184 memory: 17087 grad_norm: 5.0641 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6038 loss: 1.6038 2022/08/03 18:40:01 - mmengine - INFO - Epoch(train) [42][1380/1879] lr: 1.0000e-02 eta: 1 day, 23:54:16 time: 0.4266 data_time: 0.0145 memory: 17087 grad_norm: 4.8421 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6892 loss: 1.6892 2022/08/03 18:40:09 - mmengine - INFO - Epoch(train) [42][1400/1879] lr: 1.0000e-02 eta: 1 day, 23:54:07 time: 0.4293 data_time: 0.0166 memory: 17087 grad_norm: 4.8928 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6143 loss: 1.6143 2022/08/03 18:40:18 - mmengine - INFO - Epoch(train) [42][1420/1879] lr: 1.0000e-02 eta: 1 day, 23:53:58 time: 0.4244 data_time: 0.0136 memory: 17087 grad_norm: 4.7507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5907 loss: 1.5907 2022/08/03 18:40:26 - mmengine - INFO - Epoch(train) [42][1440/1879] lr: 1.0000e-02 eta: 1 day, 23:53:49 time: 0.4243 data_time: 0.0151 memory: 17087 grad_norm: 4.6983 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7239 loss: 1.7239 2022/08/03 18:40:35 - mmengine - INFO - Epoch(train) [42][1460/1879] lr: 1.0000e-02 eta: 1 day, 23:53:42 time: 0.4366 data_time: 0.0163 memory: 17087 grad_norm: 4.8605 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5556 loss: 1.5556 2022/08/03 18:40:44 - mmengine - INFO - Epoch(train) [42][1480/1879] lr: 1.0000e-02 eta: 1 day, 23:53:33 time: 0.4262 data_time: 0.0144 memory: 17087 grad_norm: 4.8738 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6612 loss: 1.6612 2022/08/03 18:40:53 - mmengine - INFO - Epoch(train) [42][1500/1879] lr: 1.0000e-02 eta: 1 day, 23:53:26 time: 0.4450 data_time: 0.0178 memory: 17087 grad_norm: 4.9892 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6865 loss: 1.6865 2022/08/03 18:41:01 - mmengine - INFO - Epoch(train) [42][1520/1879] lr: 1.0000e-02 eta: 1 day, 23:53:17 time: 0.4252 data_time: 0.0155 memory: 17087 grad_norm: 4.7622 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6042 loss: 1.6042 2022/08/03 18:41:10 - mmengine - INFO - Epoch(train) [42][1540/1879] lr: 1.0000e-02 eta: 1 day, 23:53:08 time: 0.4241 data_time: 0.0155 memory: 17087 grad_norm: 4.9607 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6085 loss: 1.6085 2022/08/03 18:41:18 - mmengine - INFO - Epoch(train) [42][1560/1879] lr: 1.0000e-02 eta: 1 day, 23:52:59 time: 0.4247 data_time: 0.0152 memory: 17087 grad_norm: 4.9249 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7916 loss: 1.7916 2022/08/03 18:41:27 - mmengine - INFO - Epoch(train) [42][1580/1879] lr: 1.0000e-02 eta: 1 day, 23:52:50 time: 0.4244 data_time: 0.0136 memory: 17087 grad_norm: 5.0798 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5598 loss: 1.5598 2022/08/03 18:41:36 - mmengine - INFO - Epoch(train) [42][1600/1879] lr: 1.0000e-02 eta: 1 day, 23:52:44 time: 0.4475 data_time: 0.0154 memory: 17087 grad_norm: 4.9192 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7198 loss: 1.7198 2022/08/03 18:41:44 - mmengine - INFO - Epoch(train) [42][1620/1879] lr: 1.0000e-02 eta: 1 day, 23:52:35 time: 0.4299 data_time: 0.0138 memory: 17087 grad_norm: 4.8717 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5510 loss: 1.5510 2022/08/03 18:41:53 - mmengine - INFO - Epoch(train) [42][1640/1879] lr: 1.0000e-02 eta: 1 day, 23:52:27 time: 0.4300 data_time: 0.0172 memory: 17087 grad_norm: 4.8973 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.4582 loss: 1.4582 2022/08/03 18:42:01 - mmengine - INFO - Epoch(train) [42][1660/1879] lr: 1.0000e-02 eta: 1 day, 23:52:18 time: 0.4246 data_time: 0.0140 memory: 17087 grad_norm: 4.8862 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6730 loss: 1.6730 2022/08/03 18:42:10 - mmengine - INFO - Epoch(train) [42][1680/1879] lr: 1.0000e-02 eta: 1 day, 23:52:10 time: 0.4359 data_time: 0.0166 memory: 17087 grad_norm: 4.8619 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5698 loss: 1.5698 2022/08/03 18:42:18 - mmengine - INFO - Epoch(train) [42][1700/1879] lr: 1.0000e-02 eta: 1 day, 23:52:01 time: 0.4254 data_time: 0.0144 memory: 17087 grad_norm: 4.9523 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6558 loss: 1.6558 2022/08/03 18:42:27 - mmengine - INFO - Epoch(train) [42][1720/1879] lr: 1.0000e-02 eta: 1 day, 23:51:52 time: 0.4241 data_time: 0.0172 memory: 17087 grad_norm: 5.0820 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7050 loss: 1.7050 2022/08/03 18:42:36 - mmengine - INFO - Epoch(train) [42][1740/1879] lr: 1.0000e-02 eta: 1 day, 23:51:44 time: 0.4323 data_time: 0.0140 memory: 17087 grad_norm: 4.9431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5215 loss: 1.5215 2022/08/03 18:42:44 - mmengine - INFO - Epoch(train) [42][1760/1879] lr: 1.0000e-02 eta: 1 day, 23:51:35 time: 0.4263 data_time: 0.0148 memory: 17087 grad_norm: 4.9098 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7661 loss: 1.7661 2022/08/03 18:42:53 - mmengine - INFO - Epoch(train) [42][1780/1879] lr: 1.0000e-02 eta: 1 day, 23:51:29 time: 0.4501 data_time: 0.0167 memory: 17087 grad_norm: 5.0025 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7489 loss: 1.7489 2022/08/03 18:43:02 - mmengine - INFO - Epoch(train) [42][1800/1879] lr: 1.0000e-02 eta: 1 day, 23:51:20 time: 0.4268 data_time: 0.0167 memory: 17087 grad_norm: 4.8558 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5972 loss: 1.5972 2022/08/03 18:43:10 - mmengine - INFO - Epoch(train) [42][1820/1879] lr: 1.0000e-02 eta: 1 day, 23:51:12 time: 0.4265 data_time: 0.0158 memory: 17087 grad_norm: 4.8406 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7726 loss: 1.7726 2022/08/03 18:43:19 - mmengine - INFO - Epoch(train) [42][1840/1879] lr: 1.0000e-02 eta: 1 day, 23:51:03 time: 0.4274 data_time: 0.0157 memory: 17087 grad_norm: 4.8138 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6873 loss: 1.6873 2022/08/03 18:43:27 - mmengine - INFO - Epoch(train) [42][1860/1879] lr: 1.0000e-02 eta: 1 day, 23:50:54 time: 0.4247 data_time: 0.0140 memory: 17087 grad_norm: 4.8739 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5942 loss: 1.5942 2022/08/03 18:43:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:43:35 - mmengine - INFO - Epoch(train) [42][1879/1879] lr: 1.0000e-02 eta: 1 day, 23:50:54 time: 0.4078 data_time: 0.0151 memory: 17087 grad_norm: 4.8952 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.5948 loss: 1.5948 2022/08/03 18:43:46 - mmengine - INFO - Epoch(train) [43][20/1879] lr: 1.0000e-02 eta: 1 day, 23:50:08 time: 0.5494 data_time: 0.1265 memory: 17087 grad_norm: 4.8137 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6336 loss: 1.6336 2022/08/03 18:43:55 - mmengine - INFO - Epoch(train) [43][40/1879] lr: 1.0000e-02 eta: 1 day, 23:50:01 time: 0.4435 data_time: 0.0189 memory: 17087 grad_norm: 4.8683 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6895 loss: 1.6895 2022/08/03 18:44:04 - mmengine - INFO - Epoch(train) [43][60/1879] lr: 1.0000e-02 eta: 1 day, 23:49:53 time: 0.4287 data_time: 0.0131 memory: 17087 grad_norm: 4.8074 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5331 loss: 1.5331 2022/08/03 18:44:12 - mmengine - INFO - Epoch(train) [43][80/1879] lr: 1.0000e-02 eta: 1 day, 23:49:44 time: 0.4308 data_time: 0.0144 memory: 17087 grad_norm: 4.7177 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4487 loss: 1.4487 2022/08/03 18:44:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:44:21 - mmengine - INFO - Epoch(train) [43][100/1879] lr: 1.0000e-02 eta: 1 day, 23:49:36 time: 0.4273 data_time: 0.0133 memory: 17087 grad_norm: 4.7461 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6437 loss: 1.6437 2022/08/03 18:44:30 - mmengine - INFO - Epoch(train) [43][120/1879] lr: 1.0000e-02 eta: 1 day, 23:49:30 time: 0.4591 data_time: 0.0173 memory: 17087 grad_norm: 5.0955 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8018 loss: 1.8018 2022/08/03 18:44:38 - mmengine - INFO - Epoch(train) [43][140/1879] lr: 1.0000e-02 eta: 1 day, 23:49:21 time: 0.4228 data_time: 0.0142 memory: 17087 grad_norm: 4.8792 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5518 loss: 1.5518 2022/08/03 18:44:47 - mmengine - INFO - Epoch(train) [43][160/1879] lr: 1.0000e-02 eta: 1 day, 23:49:12 time: 0.4252 data_time: 0.0150 memory: 17087 grad_norm: 4.7882 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7054 loss: 1.7054 2022/08/03 18:44:55 - mmengine - INFO - Epoch(train) [43][180/1879] lr: 1.0000e-02 eta: 1 day, 23:49:04 time: 0.4286 data_time: 0.0159 memory: 17087 grad_norm: 4.8870 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7394 loss: 1.7394 2022/08/03 18:45:04 - mmengine - INFO - Epoch(train) [43][200/1879] lr: 1.0000e-02 eta: 1 day, 23:48:55 time: 0.4263 data_time: 0.0163 memory: 17087 grad_norm: 4.7322 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4998 loss: 1.4998 2022/08/03 18:45:13 - mmengine - INFO - Epoch(train) [43][220/1879] lr: 1.0000e-02 eta: 1 day, 23:48:49 time: 0.4527 data_time: 0.0149 memory: 17087 grad_norm: 4.8766 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5733 loss: 1.5733 2022/08/03 18:45:22 - mmengine - INFO - Epoch(train) [43][240/1879] lr: 1.0000e-02 eta: 1 day, 23:48:40 time: 0.4277 data_time: 0.0179 memory: 17087 grad_norm: 4.9538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7618 loss: 1.7618 2022/08/03 18:45:30 - mmengine - INFO - Epoch(train) [43][260/1879] lr: 1.0000e-02 eta: 1 day, 23:48:32 time: 0.4359 data_time: 0.0170 memory: 17087 grad_norm: 4.8497 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5706 loss: 1.5706 2022/08/03 18:45:39 - mmengine - INFO - Epoch(train) [43][280/1879] lr: 1.0000e-02 eta: 1 day, 23:48:23 time: 0.4251 data_time: 0.0152 memory: 17087 grad_norm: 4.9094 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6003 loss: 1.6003 2022/08/03 18:45:47 - mmengine - INFO - Epoch(train) [43][300/1879] lr: 1.0000e-02 eta: 1 day, 23:48:14 time: 0.4235 data_time: 0.0143 memory: 17087 grad_norm: 4.9016 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5757 loss: 1.5757 2022/08/03 18:45:56 - mmengine - INFO - Epoch(train) [43][320/1879] lr: 1.0000e-02 eta: 1 day, 23:48:07 time: 0.4397 data_time: 0.0174 memory: 17087 grad_norm: 4.7995 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6190 loss: 1.6190 2022/08/03 18:46:05 - mmengine - INFO - Epoch(train) [43][340/1879] lr: 1.0000e-02 eta: 1 day, 23:47:58 time: 0.4267 data_time: 0.0147 memory: 17087 grad_norm: 4.9008 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5695 loss: 1.5695 2022/08/03 18:46:13 - mmengine - INFO - Epoch(train) [43][360/1879] lr: 1.0000e-02 eta: 1 day, 23:47:51 time: 0.4430 data_time: 0.0177 memory: 17087 grad_norm: 4.8916 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6814 loss: 1.6814 2022/08/03 18:46:22 - mmengine - INFO - Epoch(train) [43][380/1879] lr: 1.0000e-02 eta: 1 day, 23:47:43 time: 0.4283 data_time: 0.0185 memory: 17087 grad_norm: 4.8400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5479 loss: 1.5479 2022/08/03 18:46:31 - mmengine - INFO - Epoch(train) [43][400/1879] lr: 1.0000e-02 eta: 1 day, 23:47:34 time: 0.4310 data_time: 0.0153 memory: 17087 grad_norm: 5.0298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5108 loss: 1.5108 2022/08/03 18:46:39 - mmengine - INFO - Epoch(train) [43][420/1879] lr: 1.0000e-02 eta: 1 day, 23:47:26 time: 0.4312 data_time: 0.0208 memory: 17087 grad_norm: 4.9525 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6926 loss: 1.6926 2022/08/03 18:46:48 - mmengine - INFO - Epoch(train) [43][440/1879] lr: 1.0000e-02 eta: 1 day, 23:47:17 time: 0.4270 data_time: 0.0162 memory: 17087 grad_norm: 4.9405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6232 loss: 1.6232 2022/08/03 18:46:56 - mmengine - INFO - Epoch(train) [43][460/1879] lr: 1.0000e-02 eta: 1 day, 23:47:09 time: 0.4285 data_time: 0.0141 memory: 17087 grad_norm: 4.9821 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8051 loss: 1.8051 2022/08/03 18:47:05 - mmengine - INFO - Epoch(train) [43][480/1879] lr: 1.0000e-02 eta: 1 day, 23:47:00 time: 0.4288 data_time: 0.0161 memory: 17087 grad_norm: 4.9652 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6466 loss: 1.6466 2022/08/03 18:47:14 - mmengine - INFO - Epoch(train) [43][500/1879] lr: 1.0000e-02 eta: 1 day, 23:46:54 time: 0.4464 data_time: 0.0147 memory: 17087 grad_norm: 4.7858 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.6541 loss: 1.6541 2022/08/03 18:47:23 - mmengine - INFO - Epoch(train) [43][520/1879] lr: 1.0000e-02 eta: 1 day, 23:46:45 time: 0.4287 data_time: 0.0159 memory: 17087 grad_norm: 4.8833 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.4877 loss: 1.4877 2022/08/03 18:47:31 - mmengine - INFO - Epoch(train) [43][540/1879] lr: 1.0000e-02 eta: 1 day, 23:46:38 time: 0.4449 data_time: 0.0156 memory: 17087 grad_norm: 4.8584 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6499 loss: 1.6499 2022/08/03 18:47:40 - mmengine - INFO - Epoch(train) [43][560/1879] lr: 1.0000e-02 eta: 1 day, 23:46:30 time: 0.4294 data_time: 0.0210 memory: 17087 grad_norm: 4.8558 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8406 loss: 1.8406 2022/08/03 18:47:49 - mmengine - INFO - Epoch(train) [43][580/1879] lr: 1.0000e-02 eta: 1 day, 23:46:21 time: 0.4257 data_time: 0.0145 memory: 17087 grad_norm: 5.0438 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6500 loss: 1.6500 2022/08/03 18:47:57 - mmengine - INFO - Epoch(train) [43][600/1879] lr: 1.0000e-02 eta: 1 day, 23:46:12 time: 0.4233 data_time: 0.0152 memory: 17087 grad_norm: 4.8955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5498 loss: 1.5498 2022/08/03 18:48:06 - mmengine - INFO - Epoch(train) [43][620/1879] lr: 1.0000e-02 eta: 1 day, 23:46:05 time: 0.4458 data_time: 0.0144 memory: 17087 grad_norm: 4.7202 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6692 loss: 1.6692 2022/08/03 18:48:14 - mmengine - INFO - Epoch(train) [43][640/1879] lr: 1.0000e-02 eta: 1 day, 23:45:56 time: 0.4255 data_time: 0.0155 memory: 17087 grad_norm: 5.0126 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7249 loss: 1.7249 2022/08/03 18:48:23 - mmengine - INFO - Epoch(train) [43][660/1879] lr: 1.0000e-02 eta: 1 day, 23:45:50 time: 0.4490 data_time: 0.0155 memory: 17087 grad_norm: 4.8969 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6465 loss: 1.6465 2022/08/03 18:48:32 - mmengine - INFO - Epoch(train) [43][680/1879] lr: 1.0000e-02 eta: 1 day, 23:45:41 time: 0.4258 data_time: 0.0155 memory: 17087 grad_norm: 4.9850 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6781 loss: 1.6781 2022/08/03 18:48:41 - mmengine - INFO - Epoch(train) [43][700/1879] lr: 1.0000e-02 eta: 1 day, 23:45:34 time: 0.4420 data_time: 0.0142 memory: 17087 grad_norm: 4.8914 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5981 loss: 1.5981 2022/08/03 18:48:49 - mmengine - INFO - Epoch(train) [43][720/1879] lr: 1.0000e-02 eta: 1 day, 23:45:25 time: 0.4258 data_time: 0.0159 memory: 17087 grad_norm: 4.8946 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.6280 loss: 1.6280 2022/08/03 18:48:58 - mmengine - INFO - Epoch(train) [43][740/1879] lr: 1.0000e-02 eta: 1 day, 23:45:16 time: 0.4256 data_time: 0.0145 memory: 17087 grad_norm: 4.9510 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6693 loss: 1.6693 2022/08/03 18:49:07 - mmengine - INFO - Epoch(train) [43][760/1879] lr: 1.0000e-02 eta: 1 day, 23:45:10 time: 0.4549 data_time: 0.0188 memory: 17087 grad_norm: 4.9463 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7184 loss: 1.7184 2022/08/03 18:49:15 - mmengine - INFO - Epoch(train) [43][780/1879] lr: 1.0000e-02 eta: 1 day, 23:45:01 time: 0.4242 data_time: 0.0155 memory: 17087 grad_norm: 4.8770 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5658 loss: 1.5658 2022/08/03 18:49:24 - mmengine - INFO - Epoch(train) [43][800/1879] lr: 1.0000e-02 eta: 1 day, 23:44:52 time: 0.4274 data_time: 0.0159 memory: 17087 grad_norm: 4.9227 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5546 loss: 1.5546 2022/08/03 18:49:33 - mmengine - INFO - Epoch(train) [43][820/1879] lr: 1.0000e-02 eta: 1 day, 23:44:44 time: 0.4254 data_time: 0.0138 memory: 17087 grad_norm: 4.8273 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6485 loss: 1.6485 2022/08/03 18:49:41 - mmengine - INFO - Epoch(train) [43][840/1879] lr: 1.0000e-02 eta: 1 day, 23:44:35 time: 0.4282 data_time: 0.0174 memory: 17087 grad_norm: 4.9093 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6073 loss: 1.6073 2022/08/03 18:49:50 - mmengine - INFO - Epoch(train) [43][860/1879] lr: 1.0000e-02 eta: 1 day, 23:44:26 time: 0.4241 data_time: 0.0136 memory: 17087 grad_norm: 4.9092 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7315 loss: 1.7315 2022/08/03 18:49:58 - mmengine - INFO - Epoch(train) [43][880/1879] lr: 1.0000e-02 eta: 1 day, 23:44:17 time: 0.4246 data_time: 0.0154 memory: 17087 grad_norm: 4.9516 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6899 loss: 1.6899 2022/08/03 18:50:07 - mmengine - INFO - Epoch(train) [43][900/1879] lr: 1.0000e-02 eta: 1 day, 23:44:10 time: 0.4407 data_time: 0.0156 memory: 17087 grad_norm: 4.9322 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6442 loss: 1.6442 2022/08/03 18:50:15 - mmengine - INFO - Epoch(train) [43][920/1879] lr: 1.0000e-02 eta: 1 day, 23:44:01 time: 0.4247 data_time: 0.0170 memory: 17087 grad_norm: 4.6586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6763 loss: 1.6763 2022/08/03 18:50:24 - mmengine - INFO - Epoch(train) [43][940/1879] lr: 1.0000e-02 eta: 1 day, 23:43:52 time: 0.4278 data_time: 0.0138 memory: 17087 grad_norm: 5.0037 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8385 loss: 1.8385 2022/08/03 18:50:32 - mmengine - INFO - Epoch(train) [43][960/1879] lr: 1.0000e-02 eta: 1 day, 23:43:43 time: 0.4263 data_time: 0.0169 memory: 17087 grad_norm: 5.0148 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6062 loss: 1.6062 2022/08/03 18:50:41 - mmengine - INFO - Epoch(train) [43][980/1879] lr: 1.0000e-02 eta: 1 day, 23:43:36 time: 0.4392 data_time: 0.0142 memory: 17087 grad_norm: 5.0323 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7747 loss: 1.7747 2022/08/03 18:50:50 - mmengine - INFO - Epoch(train) [43][1000/1879] lr: 1.0000e-02 eta: 1 day, 23:43:27 time: 0.4243 data_time: 0.0153 memory: 17087 grad_norm: 4.9358 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7232 loss: 1.7232 2022/08/03 18:50:58 - mmengine - INFO - Epoch(train) [43][1020/1879] lr: 1.0000e-02 eta: 1 day, 23:43:18 time: 0.4252 data_time: 0.0139 memory: 17087 grad_norm: 4.9342 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5405 loss: 1.5405 2022/08/03 18:51:07 - mmengine - INFO - Epoch(train) [43][1040/1879] lr: 1.0000e-02 eta: 1 day, 23:43:10 time: 0.4301 data_time: 0.0154 memory: 17087 grad_norm: 4.8890 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7193 loss: 1.7193 2022/08/03 18:51:15 - mmengine - INFO - Epoch(train) [43][1060/1879] lr: 1.0000e-02 eta: 1 day, 23:43:01 time: 0.4245 data_time: 0.0162 memory: 17087 grad_norm: 5.0424 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6782 loss: 1.6782 2022/08/03 18:51:24 - mmengine - INFO - Epoch(train) [43][1080/1879] lr: 1.0000e-02 eta: 1 day, 23:42:53 time: 0.4349 data_time: 0.0174 memory: 17087 grad_norm: 4.9679 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5083 loss: 1.5083 2022/08/03 18:51:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:51:33 - mmengine - INFO - Epoch(train) [43][1100/1879] lr: 1.0000e-02 eta: 1 day, 23:42:44 time: 0.4248 data_time: 0.0145 memory: 17087 grad_norm: 4.9815 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7165 loss: 1.7165 2022/08/03 18:51:41 - mmengine - INFO - Epoch(train) [43][1120/1879] lr: 1.0000e-02 eta: 1 day, 23:42:36 time: 0.4400 data_time: 0.0161 memory: 17087 grad_norm: 4.8088 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6168 loss: 1.6168 2022/08/03 18:51:50 - mmengine - INFO - Epoch(train) [43][1140/1879] lr: 1.0000e-02 eta: 1 day, 23:42:28 time: 0.4244 data_time: 0.0145 memory: 17087 grad_norm: 4.9252 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7782 loss: 1.7782 2022/08/03 18:51:58 - mmengine - INFO - Epoch(train) [43][1160/1879] lr: 1.0000e-02 eta: 1 day, 23:42:19 time: 0.4270 data_time: 0.0151 memory: 17087 grad_norm: 4.8422 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6917 loss: 1.6917 2022/08/03 18:52:07 - mmengine - INFO - Epoch(train) [43][1180/1879] lr: 1.0000e-02 eta: 1 day, 23:42:11 time: 0.4402 data_time: 0.0146 memory: 17087 grad_norm: 4.8819 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7917 loss: 1.7917 2022/08/03 18:52:16 - mmengine - INFO - Epoch(train) [43][1200/1879] lr: 1.0000e-02 eta: 1 day, 23:42:03 time: 0.4260 data_time: 0.0156 memory: 17087 grad_norm: 4.8314 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5956 loss: 1.5956 2022/08/03 18:52:24 - mmengine - INFO - Epoch(train) [43][1220/1879] lr: 1.0000e-02 eta: 1 day, 23:41:54 time: 0.4316 data_time: 0.0154 memory: 17087 grad_norm: 4.9062 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5727 loss: 1.5727 2022/08/03 18:52:33 - mmengine - INFO - Epoch(train) [43][1240/1879] lr: 1.0000e-02 eta: 1 day, 23:41:46 time: 0.4264 data_time: 0.0159 memory: 17087 grad_norm: 4.8853 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6898 loss: 1.6898 2022/08/03 18:52:42 - mmengine - INFO - Epoch(train) [43][1260/1879] lr: 1.0000e-02 eta: 1 day, 23:41:39 time: 0.4483 data_time: 0.0151 memory: 17087 grad_norm: 5.0600 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6261 loss: 1.6261 2022/08/03 18:52:50 - mmengine - INFO - Epoch(train) [43][1280/1879] lr: 1.0000e-02 eta: 1 day, 23:41:30 time: 0.4275 data_time: 0.0158 memory: 17087 grad_norm: 5.0109 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6375 loss: 1.6375 2022/08/03 18:52:59 - mmengine - INFO - Epoch(train) [43][1300/1879] lr: 1.0000e-02 eta: 1 day, 23:41:21 time: 0.4247 data_time: 0.0135 memory: 17087 grad_norm: 4.7970 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5208 loss: 1.5208 2022/08/03 18:53:08 - mmengine - INFO - Epoch(train) [43][1320/1879] lr: 1.0000e-02 eta: 1 day, 23:41:14 time: 0.4357 data_time: 0.0174 memory: 17087 grad_norm: 4.9775 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7164 loss: 1.7164 2022/08/03 18:53:16 - mmengine - INFO - Epoch(train) [43][1340/1879] lr: 1.0000e-02 eta: 1 day, 23:41:05 time: 0.4255 data_time: 0.0145 memory: 17087 grad_norm: 4.8390 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6016 loss: 1.6016 2022/08/03 18:53:25 - mmengine - INFO - Epoch(train) [43][1360/1879] lr: 1.0000e-02 eta: 1 day, 23:40:56 time: 0.4286 data_time: 0.0206 memory: 17087 grad_norm: 4.9175 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6464 loss: 1.6464 2022/08/03 18:53:34 - mmengine - INFO - Epoch(train) [43][1380/1879] lr: 1.0000e-02 eta: 1 day, 23:40:49 time: 0.4421 data_time: 0.0169 memory: 17087 grad_norm: 4.9900 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7004 loss: 1.7004 2022/08/03 18:53:42 - mmengine - INFO - Epoch(train) [43][1400/1879] lr: 1.0000e-02 eta: 1 day, 23:40:40 time: 0.4254 data_time: 0.0154 memory: 17087 grad_norm: 5.0809 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5594 loss: 1.5594 2022/08/03 18:53:51 - mmengine - INFO - Epoch(train) [43][1420/1879] lr: 1.0000e-02 eta: 1 day, 23:40:31 time: 0.4261 data_time: 0.0150 memory: 17087 grad_norm: 4.8924 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7945 loss: 1.7945 2022/08/03 18:53:59 - mmengine - INFO - Epoch(train) [43][1440/1879] lr: 1.0000e-02 eta: 1 day, 23:40:23 time: 0.4253 data_time: 0.0164 memory: 17087 grad_norm: 5.0278 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5322 loss: 1.5322 2022/08/03 18:54:08 - mmengine - INFO - Epoch(train) [43][1460/1879] lr: 1.0000e-02 eta: 1 day, 23:40:14 time: 0.4243 data_time: 0.0147 memory: 17087 grad_norm: 4.9219 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6417 loss: 1.6417 2022/08/03 18:54:16 - mmengine - INFO - Epoch(train) [43][1480/1879] lr: 1.0000e-02 eta: 1 day, 23:40:05 time: 0.4294 data_time: 0.0158 memory: 17087 grad_norm: 4.9556 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5158 loss: 1.5158 2022/08/03 18:54:25 - mmengine - INFO - Epoch(train) [43][1500/1879] lr: 1.0000e-02 eta: 1 day, 23:39:56 time: 0.4254 data_time: 0.0149 memory: 17087 grad_norm: 5.1176 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8568 loss: 1.8568 2022/08/03 18:54:34 - mmengine - INFO - Epoch(train) [43][1520/1879] lr: 1.0000e-02 eta: 1 day, 23:39:50 time: 0.4469 data_time: 0.0151 memory: 17087 grad_norm: 4.7333 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4568 loss: 1.4568 2022/08/03 18:54:42 - mmengine - INFO - Epoch(train) [43][1540/1879] lr: 1.0000e-02 eta: 1 day, 23:39:41 time: 0.4258 data_time: 0.0154 memory: 17087 grad_norm: 4.9647 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6787 loss: 1.6787 2022/08/03 18:54:52 - mmengine - INFO - Epoch(train) [43][1560/1879] lr: 1.0000e-02 eta: 1 day, 23:39:36 time: 0.4659 data_time: 0.0222 memory: 17087 grad_norm: 4.9238 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6610 loss: 1.6610 2022/08/03 18:55:00 - mmengine - INFO - Epoch(train) [43][1580/1879] lr: 1.0000e-02 eta: 1 day, 23:39:27 time: 0.4229 data_time: 0.0137 memory: 17087 grad_norm: 5.0888 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6152 loss: 1.6152 2022/08/03 18:55:09 - mmengine - INFO - Epoch(train) [43][1600/1879] lr: 1.0000e-02 eta: 1 day, 23:39:19 time: 0.4322 data_time: 0.0212 memory: 17087 grad_norm: 5.0814 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5539 loss: 1.5539 2022/08/03 18:55:18 - mmengine - INFO - Epoch(train) [43][1620/1879] lr: 1.0000e-02 eta: 1 day, 23:39:12 time: 0.4497 data_time: 0.0156 memory: 17087 grad_norm: 4.9702 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6306 loss: 1.6306 2022/08/03 18:55:26 - mmengine - INFO - Epoch(train) [43][1640/1879] lr: 1.0000e-02 eta: 1 day, 23:39:04 time: 0.4302 data_time: 0.0200 memory: 17087 grad_norm: 4.9965 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6886 loss: 1.6886 2022/08/03 18:55:35 - mmengine - INFO - Epoch(train) [43][1660/1879] lr: 1.0000e-02 eta: 1 day, 23:38:55 time: 0.4276 data_time: 0.0147 memory: 17087 grad_norm: 4.9302 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6065 loss: 1.6065 2022/08/03 18:55:43 - mmengine - INFO - Epoch(train) [43][1680/1879] lr: 1.0000e-02 eta: 1 day, 23:38:46 time: 0.4268 data_time: 0.0182 memory: 17087 grad_norm: 4.9225 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8322 loss: 1.8322 2022/08/03 18:55:52 - mmengine - INFO - Epoch(train) [43][1700/1879] lr: 1.0000e-02 eta: 1 day, 23:38:38 time: 0.4292 data_time: 0.0138 memory: 17087 grad_norm: 4.9274 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4138 loss: 1.4138 2022/08/03 18:56:01 - mmengine - INFO - Epoch(train) [43][1720/1879] lr: 1.0000e-02 eta: 1 day, 23:38:29 time: 0.4284 data_time: 0.0200 memory: 17087 grad_norm: 4.8548 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6439 loss: 1.6439 2022/08/03 18:56:09 - mmengine - INFO - Epoch(train) [43][1740/1879] lr: 1.0000e-02 eta: 1 day, 23:38:20 time: 0.4241 data_time: 0.0140 memory: 17087 grad_norm: 4.8921 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6027 loss: 1.6027 2022/08/03 18:56:18 - mmengine - INFO - Epoch(train) [43][1760/1879] lr: 1.0000e-02 eta: 1 day, 23:38:14 time: 0.4529 data_time: 0.0167 memory: 17087 grad_norm: 4.7450 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4762 loss: 1.4762 2022/08/03 18:56:27 - mmengine - INFO - Epoch(train) [43][1780/1879] lr: 1.0000e-02 eta: 1 day, 23:38:06 time: 0.4292 data_time: 0.0194 memory: 17087 grad_norm: 4.8634 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7154 loss: 1.7154 2022/08/03 18:56:36 - mmengine - INFO - Epoch(train) [43][1800/1879] lr: 1.0000e-02 eta: 1 day, 23:38:00 time: 0.4568 data_time: 0.0158 memory: 17087 grad_norm: 5.0232 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6336 loss: 1.6336 2022/08/03 18:56:44 - mmengine - INFO - Epoch(train) [43][1820/1879] lr: 1.0000e-02 eta: 1 day, 23:37:51 time: 0.4241 data_time: 0.0145 memory: 17087 grad_norm: 4.8473 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7476 loss: 1.7476 2022/08/03 18:56:53 - mmengine - INFO - Epoch(train) [43][1840/1879] lr: 1.0000e-02 eta: 1 day, 23:37:43 time: 0.4317 data_time: 0.0164 memory: 17087 grad_norm: 5.0844 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7785 loss: 1.7785 2022/08/03 18:57:02 - mmengine - INFO - Epoch(train) [43][1860/1879] lr: 1.0000e-02 eta: 1 day, 23:37:34 time: 0.4240 data_time: 0.0147 memory: 17087 grad_norm: 4.8730 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6766 loss: 1.6766 2022/08/03 18:57:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:57:09 - mmengine - INFO - Epoch(train) [43][1879/1879] lr: 1.0000e-02 eta: 1 day, 23:37:34 time: 0.4119 data_time: 0.0197 memory: 17087 grad_norm: 4.9010 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.5718 loss: 1.5718 2022/08/03 18:57:20 - mmengine - INFO - Epoch(train) [44][20/1879] lr: 1.0000e-02 eta: 1 day, 23:36:49 time: 0.5527 data_time: 0.1061 memory: 17087 grad_norm: 4.9559 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8351 loss: 1.8351 2022/08/03 18:57:29 - mmengine - INFO - Epoch(train) [44][40/1879] lr: 1.0000e-02 eta: 1 day, 23:36:40 time: 0.4269 data_time: 0.0164 memory: 17087 grad_norm: 4.9004 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6002 loss: 1.6002 2022/08/03 18:57:38 - mmengine - INFO - Epoch(train) [44][60/1879] lr: 1.0000e-02 eta: 1 day, 23:36:32 time: 0.4296 data_time: 0.0187 memory: 17087 grad_norm: 4.8455 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7452 loss: 1.7452 2022/08/03 18:57:46 - mmengine - INFO - Epoch(train) [44][80/1879] lr: 1.0000e-02 eta: 1 day, 23:36:23 time: 0.4271 data_time: 0.0160 memory: 17087 grad_norm: 4.9568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8531 loss: 1.8531 2022/08/03 18:57:55 - mmengine - INFO - Epoch(train) [44][100/1879] lr: 1.0000e-02 eta: 1 day, 23:36:15 time: 0.4335 data_time: 0.0178 memory: 17087 grad_norm: 4.9374 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5901 loss: 1.5901 2022/08/03 18:58:03 - mmengine - INFO - Epoch(train) [44][120/1879] lr: 1.0000e-02 eta: 1 day, 23:36:06 time: 0.4262 data_time: 0.0165 memory: 17087 grad_norm: 4.7748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6279 loss: 1.6279 2022/08/03 18:58:12 - mmengine - INFO - Epoch(train) [44][140/1879] lr: 1.0000e-02 eta: 1 day, 23:35:59 time: 0.4407 data_time: 0.0161 memory: 17087 grad_norm: 4.9625 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5732 loss: 1.5732 2022/08/03 18:58:21 - mmengine - INFO - Epoch(train) [44][160/1879] lr: 1.0000e-02 eta: 1 day, 23:35:51 time: 0.4303 data_time: 0.0219 memory: 17087 grad_norm: 5.0138 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6994 loss: 1.6994 2022/08/03 18:58:29 - mmengine - INFO - Epoch(train) [44][180/1879] lr: 1.0000e-02 eta: 1 day, 23:35:42 time: 0.4242 data_time: 0.0158 memory: 17087 grad_norm: 4.9968 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6094 loss: 1.6094 2022/08/03 18:58:38 - mmengine - INFO - Epoch(train) [44][200/1879] lr: 1.0000e-02 eta: 1 day, 23:35:35 time: 0.4508 data_time: 0.0164 memory: 17087 grad_norm: 4.8272 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6500 loss: 1.6500 2022/08/03 18:58:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:58:47 - mmengine - INFO - Epoch(train) [44][220/1879] lr: 1.0000e-02 eta: 1 day, 23:35:27 time: 0.4273 data_time: 0.0156 memory: 17087 grad_norm: 4.7789 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6433 loss: 1.6433 2022/08/03 18:58:55 - mmengine - INFO - Epoch(train) [44][240/1879] lr: 1.0000e-02 eta: 1 day, 23:35:18 time: 0.4311 data_time: 0.0166 memory: 17087 grad_norm: 4.9072 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6863 loss: 1.6863 2022/08/03 18:59:04 - mmengine - INFO - Epoch(train) [44][260/1879] lr: 1.0000e-02 eta: 1 day, 23:35:10 time: 0.4291 data_time: 0.0160 memory: 17087 grad_norm: 4.8433 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7890 loss: 1.7890 2022/08/03 18:59:12 - mmengine - INFO - Epoch(train) [44][280/1879] lr: 1.0000e-02 eta: 1 day, 23:35:01 time: 0.4254 data_time: 0.0151 memory: 17087 grad_norm: 4.9673 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5330 loss: 1.5330 2022/08/03 18:59:21 - mmengine - INFO - Epoch(train) [44][300/1879] lr: 1.0000e-02 eta: 1 day, 23:34:53 time: 0.4283 data_time: 0.0143 memory: 17087 grad_norm: 4.9142 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6575 loss: 1.6575 2022/08/03 18:59:30 - mmengine - INFO - Epoch(train) [44][320/1879] lr: 1.0000e-02 eta: 1 day, 23:34:44 time: 0.4242 data_time: 0.0153 memory: 17087 grad_norm: 4.8895 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5762 loss: 1.5762 2022/08/03 18:59:38 - mmengine - INFO - Epoch(train) [44][340/1879] lr: 1.0000e-02 eta: 1 day, 23:34:35 time: 0.4297 data_time: 0.0157 memory: 17087 grad_norm: 4.9780 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4708 loss: 1.4708 2022/08/03 18:59:47 - mmengine - INFO - Epoch(train) [44][360/1879] lr: 1.0000e-02 eta: 1 day, 23:34:26 time: 0.4273 data_time: 0.0158 memory: 17087 grad_norm: 4.8557 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4380 loss: 1.4380 2022/08/03 18:59:55 - mmengine - INFO - Epoch(train) [44][380/1879] lr: 1.0000e-02 eta: 1 day, 23:34:18 time: 0.4274 data_time: 0.0149 memory: 17087 grad_norm: 4.8659 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8106 loss: 1.8106 2022/08/03 19:00:04 - mmengine - INFO - Epoch(train) [44][400/1879] lr: 1.0000e-02 eta: 1 day, 23:34:09 time: 0.4243 data_time: 0.0156 memory: 17087 grad_norm: 4.9740 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7037 loss: 1.7037 2022/08/03 19:00:13 - mmengine - INFO - Epoch(train) [44][420/1879] lr: 1.0000e-02 eta: 1 day, 23:34:02 time: 0.4408 data_time: 0.0160 memory: 17087 grad_norm: 4.9357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5987 loss: 1.5987 2022/08/03 19:00:21 - mmengine - INFO - Epoch(train) [44][440/1879] lr: 1.0000e-02 eta: 1 day, 23:33:53 time: 0.4241 data_time: 0.0162 memory: 17087 grad_norm: 4.9917 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7730 loss: 1.7730 2022/08/03 19:00:30 - mmengine - INFO - Epoch(train) [44][460/1879] lr: 1.0000e-02 eta: 1 day, 23:33:44 time: 0.4267 data_time: 0.0148 memory: 17087 grad_norm: 4.8710 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6796 loss: 1.6796 2022/08/03 19:00:38 - mmengine - INFO - Epoch(train) [44][480/1879] lr: 1.0000e-02 eta: 1 day, 23:33:36 time: 0.4313 data_time: 0.0182 memory: 17087 grad_norm: 4.9011 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5469 loss: 1.5469 2022/08/03 19:00:47 - mmengine - INFO - Epoch(train) [44][500/1879] lr: 1.0000e-02 eta: 1 day, 23:33:27 time: 0.4281 data_time: 0.0158 memory: 17087 grad_norm: 4.9172 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7611 loss: 1.7611 2022/08/03 19:00:56 - mmengine - INFO - Epoch(train) [44][520/1879] lr: 1.0000e-02 eta: 1 day, 23:33:20 time: 0.4448 data_time: 0.0146 memory: 17087 grad_norm: 4.9312 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5201 loss: 1.5201 2022/08/03 19:01:04 - mmengine - INFO - Epoch(train) [44][540/1879] lr: 1.0000e-02 eta: 1 day, 23:33:11 time: 0.4245 data_time: 0.0145 memory: 17087 grad_norm: 4.9401 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6520 loss: 1.6520 2022/08/03 19:01:13 - mmengine - INFO - Epoch(train) [44][560/1879] lr: 1.0000e-02 eta: 1 day, 23:33:02 time: 0.4271 data_time: 0.0154 memory: 17087 grad_norm: 4.9526 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6765 loss: 1.6765 2022/08/03 19:01:22 - mmengine - INFO - Epoch(train) [44][580/1879] lr: 1.0000e-02 eta: 1 day, 23:32:55 time: 0.4397 data_time: 0.0145 memory: 17087 grad_norm: 4.9534 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7391 loss: 1.7391 2022/08/03 19:01:30 - mmengine - INFO - Epoch(train) [44][600/1879] lr: 1.0000e-02 eta: 1 day, 23:32:47 time: 0.4325 data_time: 0.0176 memory: 17087 grad_norm: 4.9871 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6372 loss: 1.6372 2022/08/03 19:01:39 - mmengine - INFO - Epoch(train) [44][620/1879] lr: 1.0000e-02 eta: 1 day, 23:32:38 time: 0.4266 data_time: 0.0148 memory: 17087 grad_norm: 5.0110 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6696 loss: 1.6696 2022/08/03 19:01:48 - mmengine - INFO - Epoch(train) [44][640/1879] lr: 1.0000e-02 eta: 1 day, 23:32:31 time: 0.4391 data_time: 0.0163 memory: 17087 grad_norm: 4.7609 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4523 loss: 1.4523 2022/08/03 19:01:56 - mmengine - INFO - Epoch(train) [44][660/1879] lr: 1.0000e-02 eta: 1 day, 23:32:23 time: 0.4354 data_time: 0.0163 memory: 17087 grad_norm: 4.7464 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4873 loss: 1.4873 2022/08/03 19:02:05 - mmengine - INFO - Epoch(train) [44][680/1879] lr: 1.0000e-02 eta: 1 day, 23:32:16 time: 0.4468 data_time: 0.0177 memory: 17087 grad_norm: 4.9474 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 1.5822 loss: 1.5822 2022/08/03 19:02:14 - mmengine - INFO - Epoch(train) [44][700/1879] lr: 1.0000e-02 eta: 1 day, 23:32:08 time: 0.4334 data_time: 0.0177 memory: 17087 grad_norm: 4.9657 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6134 loss: 1.6134 2022/08/03 19:02:22 - mmengine - INFO - Epoch(train) [44][720/1879] lr: 1.0000e-02 eta: 1 day, 23:31:59 time: 0.4277 data_time: 0.0160 memory: 17087 grad_norm: 4.9281 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5598 loss: 1.5598 2022/08/03 19:02:31 - mmengine - INFO - Epoch(train) [44][740/1879] lr: 1.0000e-02 eta: 1 day, 23:31:50 time: 0.4254 data_time: 0.0144 memory: 17087 grad_norm: 4.8824 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5555 loss: 1.5555 2022/08/03 19:02:39 - mmengine - INFO - Epoch(train) [44][760/1879] lr: 1.0000e-02 eta: 1 day, 23:31:42 time: 0.4268 data_time: 0.0167 memory: 17087 grad_norm: 4.9710 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6431 loss: 1.6431 2022/08/03 19:02:48 - mmengine - INFO - Epoch(train) [44][780/1879] lr: 1.0000e-02 eta: 1 day, 23:31:35 time: 0.4464 data_time: 0.0159 memory: 17087 grad_norm: 4.9281 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5771 loss: 1.5771 2022/08/03 19:02:57 - mmengine - INFO - Epoch(train) [44][800/1879] lr: 1.0000e-02 eta: 1 day, 23:31:26 time: 0.4253 data_time: 0.0152 memory: 17087 grad_norm: 4.9771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6074 loss: 1.6074 2022/08/03 19:03:05 - mmengine - INFO - Epoch(train) [44][820/1879] lr: 1.0000e-02 eta: 1 day, 23:31:17 time: 0.4270 data_time: 0.0148 memory: 17087 grad_norm: 4.9833 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.6695 loss: 1.6695 2022/08/03 19:03:14 - mmengine - INFO - Epoch(train) [44][840/1879] lr: 1.0000e-02 eta: 1 day, 23:31:08 time: 0.4246 data_time: 0.0168 memory: 17087 grad_norm: 4.8885 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7265 loss: 1.7265 2022/08/03 19:03:23 - mmengine - INFO - Epoch(train) [44][860/1879] lr: 1.0000e-02 eta: 1 day, 23:31:00 time: 0.4275 data_time: 0.0158 memory: 17087 grad_norm: 5.0562 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7738 loss: 1.7738 2022/08/03 19:03:31 - mmengine - INFO - Epoch(train) [44][880/1879] lr: 1.0000e-02 eta: 1 day, 23:30:51 time: 0.4253 data_time: 0.0151 memory: 17087 grad_norm: 4.9857 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7476 loss: 1.7476 2022/08/03 19:03:40 - mmengine - INFO - Epoch(train) [44][900/1879] lr: 1.0000e-02 eta: 1 day, 23:30:42 time: 0.4249 data_time: 0.0143 memory: 17087 grad_norm: 4.8343 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6745 loss: 1.6745 2022/08/03 19:03:48 - mmengine - INFO - Epoch(train) [44][920/1879] lr: 1.0000e-02 eta: 1 day, 23:30:34 time: 0.4298 data_time: 0.0164 memory: 17087 grad_norm: 4.8817 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4541 loss: 1.4541 2022/08/03 19:03:57 - mmengine - INFO - Epoch(train) [44][940/1879] lr: 1.0000e-02 eta: 1 day, 23:30:25 time: 0.4253 data_time: 0.0160 memory: 17087 grad_norm: 4.8052 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5915 loss: 1.5915 2022/08/03 19:04:05 - mmengine - INFO - Epoch(train) [44][960/1879] lr: 1.0000e-02 eta: 1 day, 23:30:16 time: 0.4279 data_time: 0.0194 memory: 17087 grad_norm: 5.0108 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7201 loss: 1.7201 2022/08/03 19:04:14 - mmengine - INFO - Epoch(train) [44][980/1879] lr: 1.0000e-02 eta: 1 day, 23:30:07 time: 0.4230 data_time: 0.0148 memory: 17087 grad_norm: 5.0080 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3963 loss: 1.3963 2022/08/03 19:04:23 - mmengine - INFO - Epoch(train) [44][1000/1879] lr: 1.0000e-02 eta: 1 day, 23:30:00 time: 0.4467 data_time: 0.0165 memory: 17087 grad_norm: 4.9261 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8512 loss: 1.8512 2022/08/03 19:04:31 - mmengine - INFO - Epoch(train) [44][1020/1879] lr: 1.0000e-02 eta: 1 day, 23:29:51 time: 0.4222 data_time: 0.0134 memory: 17087 grad_norm: 4.8429 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4782 loss: 1.4782 2022/08/03 19:04:40 - mmengine - INFO - Epoch(train) [44][1040/1879] lr: 1.0000e-02 eta: 1 day, 23:29:43 time: 0.4330 data_time: 0.0212 memory: 17087 grad_norm: 4.9731 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8405 loss: 1.8405 2022/08/03 19:04:48 - mmengine - INFO - Epoch(train) [44][1060/1879] lr: 1.0000e-02 eta: 1 day, 23:29:34 time: 0.4244 data_time: 0.0151 memory: 17087 grad_norm: 4.8389 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6216 loss: 1.6216 2022/08/03 19:04:57 - mmengine - INFO - Epoch(train) [44][1080/1879] lr: 1.0000e-02 eta: 1 day, 23:29:25 time: 0.4288 data_time: 0.0161 memory: 17087 grad_norm: 4.8593 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7640 loss: 1.7640 2022/08/03 19:05:05 - mmengine - INFO - Epoch(train) [44][1100/1879] lr: 1.0000e-02 eta: 1 day, 23:29:16 time: 0.4226 data_time: 0.0143 memory: 17087 grad_norm: 4.9732 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5303 loss: 1.5303 2022/08/03 19:05:14 - mmengine - INFO - Epoch(train) [44][1120/1879] lr: 1.0000e-02 eta: 1 day, 23:29:09 time: 0.4404 data_time: 0.0168 memory: 17087 grad_norm: 4.9941 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5221 loss: 1.5221 2022/08/03 19:05:23 - mmengine - INFO - Epoch(train) [44][1140/1879] lr: 1.0000e-02 eta: 1 day, 23:29:00 time: 0.4240 data_time: 0.0135 memory: 17087 grad_norm: 5.0451 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5311 loss: 1.5311 2022/08/03 19:05:31 - mmengine - INFO - Epoch(train) [44][1160/1879] lr: 1.0000e-02 eta: 1 day, 23:28:52 time: 0.4372 data_time: 0.0226 memory: 17087 grad_norm: 4.9582 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5908 loss: 1.5908 2022/08/03 19:05:40 - mmengine - INFO - Epoch(train) [44][1180/1879] lr: 1.0000e-02 eta: 1 day, 23:28:43 time: 0.4224 data_time: 0.0141 memory: 17087 grad_norm: 4.8721 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6496 loss: 1.6496 2022/08/03 19:05:48 - mmengine - INFO - Epoch(train) [44][1200/1879] lr: 1.0000e-02 eta: 1 day, 23:28:34 time: 0.4271 data_time: 0.0163 memory: 17087 grad_norm: 4.6666 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5411 loss: 1.5411 2022/08/03 19:05:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 19:05:57 - mmengine - INFO - Epoch(train) [44][1220/1879] lr: 1.0000e-02 eta: 1 day, 23:28:28 time: 0.4464 data_time: 0.0122 memory: 17087 grad_norm: 4.8795 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5610 loss: 1.5610 2022/08/03 19:06:06 - mmengine - INFO - Epoch(train) [44][1240/1879] lr: 1.0000e-02 eta: 1 day, 23:28:19 time: 0.4303 data_time: 0.0215 memory: 17087 grad_norm: 4.8098 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8333 loss: 1.8333 2022/08/03 19:06:14 - mmengine - INFO - Epoch(train) [44][1260/1879] lr: 1.0000e-02 eta: 1 day, 23:28:10 time: 0.4247 data_time: 0.0125 memory: 17087 grad_norm: 4.8140 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5922 loss: 1.5922 2022/08/03 19:06:23 - mmengine - INFO - Epoch(train) [44][1280/1879] lr: 1.0000e-02 eta: 1 day, 23:28:01 time: 0.4245 data_time: 0.0162 memory: 17087 grad_norm: 4.9554 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5799 loss: 1.5799 2022/08/03 19:06:32 - mmengine - INFO - Epoch(train) [44][1300/1879] lr: 1.0000e-02 eta: 1 day, 23:27:55 time: 0.4485 data_time: 0.0143 memory: 17087 grad_norm: 4.9199 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7764 loss: 1.7764 2022/08/03 19:06:40 - mmengine - INFO - Epoch(train) [44][1320/1879] lr: 1.0000e-02 eta: 1 day, 23:27:46 time: 0.4252 data_time: 0.0146 memory: 17087 grad_norm: 4.8973 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5610 loss: 1.5610 2022/08/03 19:06:49 - mmengine - INFO - Epoch(train) [44][1340/1879] lr: 1.0000e-02 eta: 1 day, 23:27:37 time: 0.4240 data_time: 0.0134 memory: 17087 grad_norm: 5.0472 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7185 loss: 1.7185 2022/08/03 19:06:58 - mmengine - INFO - Epoch(train) [44][1360/1879] lr: 1.0000e-02 eta: 1 day, 23:27:30 time: 0.4431 data_time: 0.0163 memory: 17087 grad_norm: 4.9629 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7656 loss: 1.7656 2022/08/03 19:07:06 - mmengine - INFO - Epoch(train) [44][1380/1879] lr: 1.0000e-02 eta: 1 day, 23:27:21 time: 0.4239 data_time: 0.0128 memory: 17087 grad_norm: 4.8943 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5559 loss: 1.5559 2022/08/03 19:07:15 - mmengine - INFO - Epoch(train) [44][1400/1879] lr: 1.0000e-02 eta: 1 day, 23:27:12 time: 0.4279 data_time: 0.0155 memory: 17087 grad_norm: 4.9728 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8474 loss: 1.8474 2022/08/03 19:07:23 - mmengine - INFO - Epoch(train) [44][1420/1879] lr: 1.0000e-02 eta: 1 day, 23:27:03 time: 0.4254 data_time: 0.0144 memory: 17087 grad_norm: 5.0292 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6772 loss: 1.6772 2022/08/03 19:07:32 - mmengine - INFO - Epoch(train) [44][1440/1879] lr: 1.0000e-02 eta: 1 day, 23:26:56 time: 0.4378 data_time: 0.0184 memory: 17087 grad_norm: 4.9036 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5955 loss: 1.5955 2022/08/03 19:07:41 - mmengine - INFO - Epoch(train) [44][1460/1879] lr: 1.0000e-02 eta: 1 day, 23:26:47 time: 0.4248 data_time: 0.0138 memory: 17087 grad_norm: 4.9017 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8291 loss: 1.8291 2022/08/03 19:07:49 - mmengine - INFO - Epoch(train) [44][1480/1879] lr: 1.0000e-02 eta: 1 day, 23:26:38 time: 0.4278 data_time: 0.0192 memory: 17087 grad_norm: 4.7218 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5670 loss: 1.5670 2022/08/03 19:07:58 - mmengine - INFO - Epoch(train) [44][1500/1879] lr: 1.0000e-02 eta: 1 day, 23:26:30 time: 0.4368 data_time: 0.0162 memory: 17087 grad_norm: 4.8179 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3829 loss: 1.3829 2022/08/03 19:08:06 - mmengine - INFO - Epoch(train) [44][1520/1879] lr: 1.0000e-02 eta: 1 day, 23:26:22 time: 0.4251 data_time: 0.0167 memory: 17087 grad_norm: 4.8633 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7176 loss: 1.7176 2022/08/03 19:08:15 - mmengine - INFO - Epoch(train) [44][1540/1879] lr: 1.0000e-02 eta: 1 day, 23:26:13 time: 0.4272 data_time: 0.0156 memory: 17087 grad_norm: 4.8977 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6971 loss: 1.6971 2022/08/03 19:08:23 - mmengine - INFO - Epoch(train) [44][1560/1879] lr: 1.0000e-02 eta: 1 day, 23:26:04 time: 0.4291 data_time: 0.0180 memory: 17087 grad_norm: 4.9613 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7395 loss: 1.7395 2022/08/03 19:08:32 - mmengine - INFO - Epoch(train) [44][1580/1879] lr: 1.0000e-02 eta: 1 day, 23:25:57 time: 0.4452 data_time: 0.0158 memory: 17087 grad_norm: 4.8515 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6795 loss: 1.6795 2022/08/03 19:08:41 - mmengine - INFO - Epoch(train) [44][1600/1879] lr: 1.0000e-02 eta: 1 day, 23:25:48 time: 0.4248 data_time: 0.0148 memory: 17087 grad_norm: 4.7715 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6736 loss: 1.6736 2022/08/03 19:08:50 - mmengine - INFO - Epoch(train) [44][1620/1879] lr: 1.0000e-02 eta: 1 day, 23:25:41 time: 0.4354 data_time: 0.0189 memory: 17087 grad_norm: 4.9501 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8018 loss: 1.8018 2022/08/03 19:08:58 - mmengine - INFO - Epoch(train) [44][1640/1879] lr: 1.0000e-02 eta: 1 day, 23:25:32 time: 0.4263 data_time: 0.0159 memory: 17087 grad_norm: 5.0103 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6676 loss: 1.6676 2022/08/03 19:09:07 - mmengine - INFO - Epoch(train) [44][1660/1879] lr: 1.0000e-02 eta: 1 day, 23:25:24 time: 0.4311 data_time: 0.0131 memory: 17087 grad_norm: 4.8710 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4515 loss: 1.4515 2022/08/03 19:09:15 - mmengine - INFO - Epoch(train) [44][1680/1879] lr: 1.0000e-02 eta: 1 day, 23:25:15 time: 0.4265 data_time: 0.0162 memory: 17087 grad_norm: 4.9959 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5275 loss: 1.5275 2022/08/03 19:09:24 - mmengine - INFO - Epoch(train) [44][1700/1879] lr: 1.0000e-02 eta: 1 day, 23:25:06 time: 0.4286 data_time: 0.0143 memory: 17087 grad_norm: 5.0319 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8624 loss: 1.8624 2022/08/03 19:09:32 - mmengine - INFO - Epoch(train) [44][1720/1879] lr: 1.0000e-02 eta: 1 day, 23:24:57 time: 0.4246 data_time: 0.0162 memory: 17087 grad_norm: 4.9666 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7594 loss: 1.7594 2022/08/03 19:09:41 - mmengine - INFO - Epoch(train) [44][1740/1879] lr: 1.0000e-02 eta: 1 day, 23:24:48 time: 0.4248 data_time: 0.0125 memory: 17087 grad_norm: 4.9070 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6068 loss: 1.6068 2022/08/03 19:09:49 - mmengine - INFO - Epoch(train) [44][1760/1879] lr: 1.0000e-02 eta: 1 day, 23:24:40 time: 0.4254 data_time: 0.0159 memory: 17087 grad_norm: 4.9778 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6718 loss: 1.6718 2022/08/03 19:09:58 - mmengine - INFO - Epoch(train) [44][1780/1879] lr: 1.0000e-02 eta: 1 day, 23:24:31 time: 0.4251 data_time: 0.0147 memory: 17087 grad_norm: 4.9201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6960 loss: 1.6960 2022/08/03 19:10:06 - mmengine - INFO - Epoch(train) [44][1800/1879] lr: 1.0000e-02 eta: 1 day, 23:24:22 time: 0.4265 data_time: 0.0157 memory: 17087 grad_norm: 5.1049 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7086 loss: 1.7086 2022/08/03 19:10:15 - mmengine - INFO - Epoch(train) [44][1820/1879] lr: 1.0000e-02 eta: 1 day, 23:24:13 time: 0.4230 data_time: 0.0129 memory: 17087 grad_norm: 4.8455 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6120 loss: 1.6120 2022/08/03 19:10:24 - mmengine - INFO - Epoch(train) [44][1840/1879] lr: 1.0000e-02 eta: 1 day, 23:24:06 time: 0.4437 data_time: 0.0157 memory: 17087 grad_norm: 4.9632 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6579 loss: 1.6579 2022/08/03 19:10:32 - mmengine - INFO - Epoch(train) [44][1860/1879] lr: 1.0000e-02 eta: 1 day, 23:23:57 time: 0.4243 data_time: 0.0139 memory: 17087 grad_norm: 4.8463 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7821 loss: 1.7821 2022/08/03 19:10:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 19:10:40 - mmengine - INFO - Epoch(train) [44][1879/1879] lr: 1.0000e-02 eta: 1 day, 23:23:57 time: 0.4053 data_time: 0.0137 memory: 17087 grad_norm: 4.9011 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.6005 loss: 1.6005 2022/08/03 19:10:40 - mmengine - INFO - Saving checkpoint at 44 epochs 2022/08/03 19:10:54 - mmengine - INFO - Epoch(train) [45][20/1879] lr: 1.0000e-02 eta: 1 day, 23:23:11 time: 0.5335 data_time: 0.1077 memory: 17087 grad_norm: 4.8778 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4345 loss: 1.4345 2022/08/03 19:11:03 - mmengine - INFO - Epoch(train) [45][40/1879] lr: 1.0000e-02 eta: 1 day, 23:23:03 time: 0.4305 data_time: 0.0228 memory: 17087 grad_norm: 4.8404 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6531 loss: 1.6531 2022/08/03 19:11:11 - mmengine - INFO - Epoch(train) [45][60/1879] lr: 1.0000e-02 eta: 1 day, 23:22:54 time: 0.4246 data_time: 0.0139 memory: 17087 grad_norm: 4.9512 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6565 loss: 1.6565 2022/08/03 19:11:20 - mmengine - INFO - Epoch(train) [45][80/1879] lr: 1.0000e-02 eta: 1 day, 23:22:45 time: 0.4267 data_time: 0.0159 memory: 17087 grad_norm: 4.8750 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.6724 loss: 1.6724 2022/08/03 19:11:28 - mmengine - INFO - Epoch(train) [45][100/1879] lr: 1.0000e-02 eta: 1 day, 23:22:37 time: 0.4304 data_time: 0.0143 memory: 17087 grad_norm: 4.7661 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5155 loss: 1.5155 2022/08/03 19:11:37 - mmengine - INFO - Epoch(train) [45][120/1879] lr: 1.0000e-02 eta: 1 day, 23:22:28 time: 0.4250 data_time: 0.0158 memory: 17087 grad_norm: 4.8869 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6774 loss: 1.6774 2022/08/03 19:11:46 - mmengine - INFO - Epoch(train) [45][140/1879] lr: 1.0000e-02 eta: 1 day, 23:22:21 time: 0.4502 data_time: 0.0185 memory: 17087 grad_norm: 4.8438 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5616 loss: 1.5616 2022/08/03 19:11:55 - mmengine - INFO - Epoch(train) [45][160/1879] lr: 1.0000e-02 eta: 1 day, 23:22:13 time: 0.4314 data_time: 0.0209 memory: 17087 grad_norm: 4.8640 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6512 loss: 1.6512 2022/08/03 19:12:03 - mmengine - INFO - Epoch(train) [45][180/1879] lr: 1.0000e-02 eta: 1 day, 23:22:06 time: 0.4421 data_time: 0.0146 memory: 17087 grad_norm: 5.0211 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5796 loss: 1.5796 2022/08/03 19:12:12 - mmengine - INFO - Epoch(train) [45][200/1879] lr: 1.0000e-02 eta: 1 day, 23:21:57 time: 0.4259 data_time: 0.0180 memory: 17087 grad_norm: 4.9228 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4292 loss: 1.4292 2022/08/03 19:12:20 - mmengine - INFO - Epoch(train) [45][220/1879] lr: 1.0000e-02 eta: 1 day, 23:21:48 time: 0.4236 data_time: 0.0134 memory: 17087 grad_norm: 4.9946 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5606 loss: 1.5606 2022/08/03 19:12:29 - mmengine - INFO - Epoch(train) [45][240/1879] lr: 1.0000e-02 eta: 1 day, 23:21:40 time: 0.4325 data_time: 0.0170 memory: 17087 grad_norm: 4.9824 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5663 loss: 1.5663 2022/08/03 19:12:38 - mmengine - INFO - Epoch(train) [45][260/1879] lr: 1.0000e-02 eta: 1 day, 23:21:31 time: 0.4241 data_time: 0.0134 memory: 17087 grad_norm: 5.0229 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8339 loss: 1.8339 2022/08/03 19:12:46 - mmengine - INFO - Epoch(train) [45][280/1879] lr: 1.0000e-02 eta: 1 day, 23:21:22 time: 0.4278 data_time: 0.0156 memory: 17087 grad_norm: 4.9911 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6158 loss: 1.6158 2022/08/03 19:12:55 - mmengine - INFO - Epoch(train) [45][300/1879] lr: 1.0000e-02 eta: 1 day, 23:21:14 time: 0.4264 data_time: 0.0140 memory: 17087 grad_norm: 4.9727 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5758 loss: 1.5758 2022/08/03 19:13:04 - mmengine - INFO - Epoch(train) [45][320/1879] lr: 1.0000e-02 eta: 1 day, 23:21:07 time: 0.4529 data_time: 0.0158 memory: 17087 grad_norm: 4.9797 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7409 loss: 1.7409 2022/08/03 19:13:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 19:13:12 - mmengine - INFO - Epoch(train) [45][340/1879] lr: 1.0000e-02 eta: 1 day, 23:20:59 time: 0.4325 data_time: 0.0209 memory: 17087 grad_norm: 4.9871 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7830 loss: 1.7830 2022/08/03 19:13:21 - mmengine - INFO - Epoch(train) [45][360/1879] lr: 1.0000e-02 eta: 1 day, 23:20:50 time: 0.4240 data_time: 0.0150 memory: 17087 grad_norm: 4.8926 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7412 loss: 1.7412 2022/08/03 19:13:29 - mmengine - INFO - Epoch(train) [45][380/1879] lr: 1.0000e-02 eta: 1 day, 23:20:42 time: 0.4279 data_time: 0.0186 memory: 17087 grad_norm: 4.8902 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6761 loss: 1.6761 2022/08/03 19:13:38 - mmengine - INFO - Epoch(train) [45][400/1879] lr: 1.0000e-02 eta: 1 day, 23:20:33 time: 0.4250 data_time: 0.0167 memory: 17087 grad_norm: 4.9912 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6684 loss: 1.6684 2022/08/03 19:13:47 - mmengine - INFO - Epoch(train) [45][420/1879] lr: 1.0000e-02 eta: 1 day, 23:20:24 time: 0.4276 data_time: 0.0143 memory: 17087 grad_norm: 4.9605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5735 loss: 1.5735 2022/08/03 19:13:55 - mmengine - INFO - Epoch(train) [45][440/1879] lr: 1.0000e-02 eta: 1 day, 23:20:15 time: 0.4240 data_time: 0.0145 memory: 17087 grad_norm: 5.0092 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6206 loss: 1.6206 2022/08/03 19:14:04 - mmengine - INFO - Epoch(train) [45][460/1879] lr: 1.0000e-02 eta: 1 day, 23:20:06 time: 0.4251 data_time: 0.0139 memory: 17087 grad_norm: 4.9777 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5769 loss: 1.5769 2022/08/03 19:14:12 - mmengine - INFO - Epoch(train) [45][480/1879] lr: 1.0000e-02 eta: 1 day, 23:19:57 time: 0.4254 data_time: 0.0160 memory: 17087 grad_norm: 4.9269 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8241 loss: 1.8241 2022/08/03 19:14:21 - mmengine - INFO - Epoch(train) [45][500/1879] lr: 1.0000e-02 eta: 1 day, 23:19:48 time: 0.4236 data_time: 0.0135 memory: 17087 grad_norm: 4.9388 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7204 loss: 1.7204 2022/08/03 19:14:29 - mmengine - INFO - Epoch(train) [45][520/1879] lr: 1.0000e-02 eta: 1 day, 23:19:40 time: 0.4291 data_time: 0.0189 memory: 17087 grad_norm: 4.9994 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6151 loss: 1.6151 2022/08/03 19:14:38 - mmengine - INFO - Epoch(train) [45][540/1879] lr: 1.0000e-02 eta: 1 day, 23:19:31 time: 0.4245 data_time: 0.0128 memory: 17087 grad_norm: 4.9842 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4620 loss: 1.4620 2022/08/03 19:14:46 - mmengine - INFO - Epoch(train) [45][560/1879] lr: 1.0000e-02 eta: 1 day, 23:19:23 time: 0.4338 data_time: 0.0179 memory: 17087 grad_norm: 5.0278 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7522 loss: 1.7522 2022/08/03 19:14:55 - mmengine - INFO - Epoch(train) [45][580/1879] lr: 1.0000e-02 eta: 1 day, 23:19:15 time: 0.4293 data_time: 0.0159 memory: 17087 grad_norm: 4.8916 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6366 loss: 1.6366 2022/08/03 19:15:04 - mmengine - INFO - Epoch(train) [45][600/1879] lr: 1.0000e-02 eta: 1 day, 23:19:07 time: 0.4397 data_time: 0.0161 memory: 17087 grad_norm: 4.9403 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.7202 loss: 1.7202 2022/08/03 19:15:13 - mmengine - INFO - Epoch(train) [45][620/1879] lr: 1.0000e-02 eta: 1 day, 23:19:00 time: 0.4433 data_time: 0.0174 memory: 17087 grad_norm: 4.8968 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6468 loss: 1.6468 2022/08/03 19:15:21 - mmengine - INFO - Epoch(train) [45][640/1879] lr: 1.0000e-02 eta: 1 day, 23:18:51 time: 0.4240 data_time: 0.0151 memory: 17087 grad_norm: 4.9547 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5811 loss: 1.5811 2022/08/03 19:15:30 - mmengine - INFO - Epoch(train) [45][660/1879] lr: 1.0000e-02 eta: 1 day, 23:18:42 time: 0.4244 data_time: 0.0141 memory: 17087 grad_norm: 4.9427 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4761 loss: 1.4761 2022/08/03 19:15:38 - mmengine - INFO - Epoch(train) [45][680/1879] lr: 1.0000e-02 eta: 1 day, 23:18:34 time: 0.4306 data_time: 0.0164 memory: 17087 grad_norm: 4.9219 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5539 loss: 1.5539 2022/08/03 19:15:47 - mmengine - INFO - Epoch(train) [45][700/1879] lr: 1.0000e-02 eta: 1 day, 23:18:25 time: 0.4299 data_time: 0.0184 memory: 17087 grad_norm: 4.9022 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6118 loss: 1.6118 2022/08/03 19:15:55 - mmengine - INFO - Epoch(train) [45][720/1879] lr: 1.0000e-02 eta: 1 day, 23:18:17 time: 0.4342 data_time: 0.0186 memory: 17087 grad_norm: 4.9498 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5683 loss: 1.5683 2022/08/03 19:16:04 - mmengine - INFO - Epoch(train) [45][740/1879] lr: 1.0000e-02 eta: 1 day, 23:18:09 time: 0.4278 data_time: 0.0172 memory: 17087 grad_norm: 5.0181 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4997 loss: 1.4997 2022/08/03 19:16:13 - mmengine - INFO - Epoch(train) [45][760/1879] lr: 1.0000e-02 eta: 1 day, 23:18:00 time: 0.4300 data_time: 0.0171 memory: 17087 grad_norm: 4.8263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5552 loss: 1.5552 2022/08/03 19:16:21 - mmengine - INFO - Epoch(train) [45][780/1879] lr: 1.0000e-02 eta: 1 day, 23:17:51 time: 0.4211 data_time: 0.0156 memory: 17087 grad_norm: 5.1163 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5849 loss: 1.5849 2022/08/03 19:16:30 - mmengine - INFO - Epoch(train) [45][800/1879] lr: 1.0000e-02 eta: 1 day, 23:17:42 time: 0.4250 data_time: 0.0163 memory: 17087 grad_norm: 5.1067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5794 loss: 1.5794 2022/08/03 19:16:38 - mmengine - INFO - Epoch(train) [45][820/1879] lr: 1.0000e-02 eta: 1 day, 23:17:35 time: 0.4386 data_time: 0.0142 memory: 17087 grad_norm: 4.9174 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5787 loss: 1.5787 2022/08/03 19:16:47 - mmengine - INFO - Epoch(train) [45][840/1879] lr: 1.0000e-02 eta: 1 day, 23:17:26 time: 0.4306 data_time: 0.0201 memory: 17087 grad_norm: 4.9823 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9317 loss: 1.9317 2022/08/03 19:16:56 - mmengine - INFO - Epoch(train) [45][860/1879] lr: 1.0000e-02 eta: 1 day, 23:17:18 time: 0.4288 data_time: 0.0156 memory: 17087 grad_norm: 4.8480 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7223 loss: 1.7223 2022/08/03 19:17:04 - mmengine - INFO - Epoch(train) [45][880/1879] lr: 1.0000e-02 eta: 1 day, 23:17:10 time: 0.4382 data_time: 0.0164 memory: 17087 grad_norm: 4.8816 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7041 loss: 1.7041 2022/08/03 19:17:13 - mmengine - INFO - Epoch(train) [45][900/1879] lr: 1.0000e-02 eta: 1 day, 23:17:01 time: 0.4235 data_time: 0.0141 memory: 17087 grad_norm: 5.0128 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5711 loss: 1.5711 2022/08/03 19:17:22 - mmengine - INFO - Epoch(train) [45][920/1879] lr: 1.0000e-02 eta: 1 day, 23:16:53 time: 0.4366 data_time: 0.0215 memory: 17087 grad_norm: 5.0703 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7654 loss: 1.7654 2022/08/03 19:17:30 - mmengine - INFO - Epoch(train) [45][940/1879] lr: 1.0000e-02 eta: 1 day, 23:16:44 time: 0.4245 data_time: 0.0136 memory: 17087 grad_norm: 4.8688 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8663 loss: 1.8663 2022/08/03 19:17:39 - mmengine - INFO - Epoch(train) [45][960/1879] lr: 1.0000e-02 eta: 1 day, 23:16:36 time: 0.4312 data_time: 0.0163 memory: 17087 grad_norm: 4.7482 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.6446 loss: 1.6446 2022/08/03 19:17:47 - mmengine - INFO - Epoch(train) [45][980/1879] lr: 1.0000e-02 eta: 1 day, 23:16:27 time: 0.4241 data_time: 0.0133 memory: 17087 grad_norm: 4.8396 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9156 loss: 1.9156 2022/08/03 19:17:56 - mmengine - INFO - Epoch(train) [45][1000/1879] lr: 1.0000e-02 eta: 1 day, 23:16:20 time: 0.4400 data_time: 0.0157 memory: 17087 grad_norm: 4.8603 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6588 loss: 1.6588 2022/08/03 19:18:05 - mmengine - INFO - Epoch(train) [45][1020/1879] lr: 1.0000e-02 eta: 1 day, 23:16:11 time: 0.4285 data_time: 0.0192 memory: 17087 grad_norm: 4.8933 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6729 loss: 1.6729 2022/08/03 19:18:13 - mmengine - INFO - Epoch(train) [45][1040/1879] lr: 1.0000e-02 eta: 1 day, 23:16:02 time: 0.4254 data_time: 0.0166 memory: 17087 grad_norm: 4.7979 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5830 loss: 1.5830 2022/08/03 19:18:22 - mmengine - INFO - Epoch(train) [45][1060/1879] lr: 1.0000e-02 eta: 1 day, 23:15:53 time: 0.4233 data_time: 0.0142 memory: 17087 grad_norm: 5.0360 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6174 loss: 1.6174 2022/08/03 19:18:30 - mmengine - INFO - Epoch(train) [45][1080/1879] lr: 1.0000e-02 eta: 1 day, 23:15:44 time: 0.4264 data_time: 0.0160 memory: 17087 grad_norm: 4.8816 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5823 loss: 1.5823 2022/08/03 19:18:39 - mmengine - INFO - Epoch(train) [45][1100/1879] lr: 1.0000e-02 eta: 1 day, 23:15:36 time: 0.4268 data_time: 0.0172 memory: 17087 grad_norm: 4.9353 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.6143 loss: 1.6143 2022/08/03 19:18:47 - mmengine - INFO - Epoch(train) [45][1120/1879] lr: 1.0000e-02 eta: 1 day, 23:15:28 time: 0.4363 data_time: 0.0198 memory: 17087 grad_norm: 4.7870 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5833 loss: 1.5833 2022/08/03 19:18:56 - mmengine - INFO - Epoch(train) [45][1140/1879] lr: 1.0000e-02 eta: 1 day, 23:15:20 time: 0.4316 data_time: 0.0148 memory: 17087 grad_norm: 4.8360 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5800 loss: 1.5800 2022/08/03 19:19:05 - mmengine - INFO - Epoch(train) [45][1160/1879] lr: 1.0000e-02 eta: 1 day, 23:15:12 time: 0.4363 data_time: 0.0157 memory: 17087 grad_norm: 4.8677 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7907 loss: 1.7907 2022/08/03 19:19:13 - mmengine - INFO - Epoch(train) [45][1180/1879] lr: 1.0000e-02 eta: 1 day, 23:15:03 time: 0.4241 data_time: 0.0145 memory: 17087 grad_norm: 5.0789 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7665 loss: 1.7665 2022/08/03 19:19:22 - mmengine - INFO - Epoch(train) [45][1200/1879] lr: 1.0000e-02 eta: 1 day, 23:14:55 time: 0.4378 data_time: 0.0161 memory: 17087 grad_norm: 5.0423 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5488 loss: 1.5488 2022/08/03 19:19:31 - mmengine - INFO - Epoch(train) [45][1220/1879] lr: 1.0000e-02 eta: 1 day, 23:14:49 time: 0.4493 data_time: 0.0168 memory: 17087 grad_norm: 5.0204 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6451 loss: 1.6451 2022/08/03 19:19:39 - mmengine - INFO - Epoch(train) [45][1240/1879] lr: 1.0000e-02 eta: 1 day, 23:14:40 time: 0.4264 data_time: 0.0158 memory: 17087 grad_norm: 4.8945 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7031 loss: 1.7031 2022/08/03 19:19:49 - mmengine - INFO - Epoch(train) [45][1260/1879] lr: 1.0000e-02 eta: 1 day, 23:14:34 time: 0.4542 data_time: 0.0149 memory: 17087 grad_norm: 4.8578 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4504 loss: 1.4504 2022/08/03 19:19:57 - mmengine - INFO - Epoch(train) [45][1280/1879] lr: 1.0000e-02 eta: 1 day, 23:14:26 time: 0.4314 data_time: 0.0210 memory: 17087 grad_norm: 4.7798 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5324 loss: 1.5324 2022/08/03 19:20:06 - mmengine - INFO - Epoch(train) [45][1300/1879] lr: 1.0000e-02 eta: 1 day, 23:14:20 time: 0.4581 data_time: 0.0143 memory: 17087 grad_norm: 4.9886 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7873 loss: 1.7873 2022/08/03 19:20:15 - mmengine - INFO - Epoch(train) [45][1320/1879] lr: 1.0000e-02 eta: 1 day, 23:14:11 time: 0.4289 data_time: 0.0208 memory: 17087 grad_norm: 4.9047 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4360 loss: 1.4360 2022/08/03 19:20:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 19:20:24 - mmengine - INFO - Epoch(train) [45][1340/1879] lr: 1.0000e-02 eta: 1 day, 23:14:06 time: 0.4618 data_time: 0.0266 memory: 17087 grad_norm: 4.8346 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5140 loss: 1.5140 2022/08/03 19:20:33 - mmengine - INFO - Epoch(train) [45][1360/1879] lr: 1.0000e-02 eta: 1 day, 23:13:57 time: 0.4267 data_time: 0.0159 memory: 17087 grad_norm: 4.8879 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7665 loss: 1.7665 2022/08/03 19:20:42 - mmengine - INFO - Epoch(train) [45][1380/1879] lr: 1.0000e-02 eta: 1 day, 23:13:50 time: 0.4464 data_time: 0.0199 memory: 17087 grad_norm: 4.7907 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6142 loss: 1.6142 2022/08/03 19:20:50 - mmengine - INFO - Epoch(train) [45][1400/1879] lr: 1.0000e-02 eta: 1 day, 23:13:42 time: 0.4269 data_time: 0.0153 memory: 17087 grad_norm: 4.9159 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9127 loss: 1.9127 2022/08/03 19:20:59 - mmengine - INFO - Epoch(train) [45][1420/1879] lr: 1.0000e-02 eta: 1 day, 23:13:34 time: 0.4384 data_time: 0.0154 memory: 17087 grad_norm: 4.7629 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7042 loss: 1.7042 2022/08/03 19:21:08 - mmengine - INFO - Epoch(train) [45][1440/1879] lr: 1.0000e-02 eta: 1 day, 23:13:26 time: 0.4294 data_time: 0.0169 memory: 17087 grad_norm: 4.8307 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6368 loss: 1.6368 2022/08/03 19:21:16 - mmengine - INFO - Epoch(train) [45][1460/1879] lr: 1.0000e-02 eta: 1 day, 23:13:17 time: 0.4267 data_time: 0.0157 memory: 17087 grad_norm: 4.9183 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6792 loss: 1.6792 2022/08/03 19:21:25 - mmengine - INFO - Epoch(train) [45][1480/1879] lr: 1.0000e-02 eta: 1 day, 23:13:08 time: 0.4242 data_time: 0.0158 memory: 17087 grad_norm: 4.7540 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4160 loss: 1.4160 2022/08/03 19:21:33 - mmengine - INFO - Epoch(train) [45][1500/1879] lr: 1.0000e-02 eta: 1 day, 23:12:59 time: 0.4247 data_time: 0.0146 memory: 17087 grad_norm: 4.8859 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7417 loss: 1.7417 2022/08/03 19:21:42 - mmengine - INFO - Epoch(train) [4