2022/07/22 00:08:56 - mmengine - INFO - load model from: torchvision://resnet50 2022/07/22 00:09:00 - mmengine - INFO - These parameters in the 2d checkpoint are not loaded: {'fc.weight', 'fc.bias'} 2022/07/22 00:09:00 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb by HardDiskBackend. 2022/07/22 00:09:21 - mmengine - INFO - Epoch(train) [1][20/3757] lr: 1.0000e-02 eta: 4 days, 15:47:08 time: 1.0712 data_time: 0.2691 memory: 17350 grad_norm: 5.1300 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 6.0484 loss: 6.0484 2022/07/22 00:09:34 - mmengine - INFO - Epoch(train) [1][40/3757] lr: 1.0000e-02 eta: 3 days, 16:30:55 time: 0.6253 data_time: 0.0288 memory: 17350 grad_norm: 5.0680 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.8495 loss: 5.8495 2022/07/22 00:09:48 - mmengine - INFO - Epoch(train) [1][60/3757] lr: 1.0000e-02 eta: 3 days, 12:10:28 time: 0.7236 data_time: 0.0216 memory: 17350 grad_norm: 5.0603 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.8301 loss: 5.8301 2022/07/22 00:10:00 - mmengine - INFO - Epoch(train) [1][80/3757] lr: 1.0000e-02 eta: 3 days, 6:32:38 time: 0.5910 data_time: 0.0235 memory: 17350 grad_norm: 5.1412 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.6641 loss: 5.6641 2022/07/22 00:10:15 - mmengine - INFO - Epoch(train) [1][100/3757] lr: 1.0000e-02 eta: 3 days, 6:25:06 time: 0.7470 data_time: 0.0207 memory: 17350 grad_norm: 5.2721 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4362 loss: 5.4362 2022/07/22 00:10:28 - mmengine - INFO - Epoch(train) [1][120/3757] lr: 1.0000e-02 eta: 3 days, 4:18:14 time: 0.6303 data_time: 0.0229 memory: 17350 grad_norm: 5.4139 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.2008 loss: 5.2008 2022/07/22 00:10:42 - mmengine - INFO - Epoch(train) [1][140/3757] lr: 1.0000e-02 eta: 3 days, 3:58:54 time: 0.7100 data_time: 0.0219 memory: 17350 grad_norm: 5.5169 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.3981 loss: 5.3981 2022/07/22 00:10:54 - mmengine - INFO - Epoch(train) [1][160/3757] lr: 1.0000e-02 eta: 3 days, 2:36:35 time: 0.6234 data_time: 0.0235 memory: 17350 grad_norm: 5.7724 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1359 loss: 5.1359 2022/07/22 00:11:08 - mmengine - INFO - Epoch(train) [1][180/3757] lr: 1.0000e-02 eta: 3 days, 2:34:39 time: 0.7128 data_time: 0.0223 memory: 17350 grad_norm: 5.8572 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 5.0314 loss: 5.0314 2022/07/22 00:11:20 - mmengine - INFO - Epoch(train) [1][200/3757] lr: 1.0000e-02 eta: 3 days, 1:19:11 time: 0.5948 data_time: 0.0232 memory: 17350 grad_norm: 5.9155 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.9921 loss: 4.9921 2022/07/22 00:11:35 - mmengine - INFO - Epoch(train) [1][220/3757] lr: 1.0000e-02 eta: 3 days, 1:31:50 time: 0.7256 data_time: 0.0212 memory: 17350 grad_norm: 5.9619 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.1588 loss: 5.1588 2022/07/22 00:11:47 - mmengine - INFO - Epoch(train) [1][240/3757] lr: 1.0000e-02 eta: 3 days, 0:42:03 time: 0.6100 data_time: 0.0262 memory: 17350 grad_norm: 6.0169 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.9177 loss: 4.9177 2022/07/22 00:12:01 - mmengine - INFO - Epoch(train) [1][260/3757] lr: 1.0000e-02 eta: 3 days, 0:51:53 time: 0.7180 data_time: 0.0245 memory: 17350 grad_norm: 6.2614 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8580 loss: 4.8580 2022/07/22 00:12:14 - mmengine - INFO - Epoch(train) [1][280/3757] lr: 1.0000e-02 eta: 3 days, 0:20:03 time: 0.6280 data_time: 0.0225 memory: 17350 grad_norm: 6.2373 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7282 loss: 4.7282 2022/07/22 00:12:29 - mmengine - INFO - Epoch(train) [1][300/3757] lr: 1.0000e-02 eta: 3 days, 0:34:35 time: 0.7290 data_time: 0.0231 memory: 17350 grad_norm: 6.2578 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.7215 loss: 4.7215 2022/07/22 00:12:41 - mmengine - INFO - Epoch(train) [1][320/3757] lr: 1.0000e-02 eta: 2 days, 23:57:19 time: 0.6013 data_time: 0.0242 memory: 17350 grad_norm: 6.3082 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8715 loss: 4.8715 2022/07/22 00:12:55 - mmengine - INFO - Epoch(train) [1][340/3757] lr: 1.0000e-02 eta: 3 days, 0:06:48 time: 0.7165 data_time: 0.0246 memory: 17350 grad_norm: 6.2904 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.5359 loss: 4.5359 2022/07/22 00:13:08 - mmengine - INFO - Epoch(train) [1][360/3757] lr: 1.0000e-02 eta: 3 days, 0:00:26 time: 0.6740 data_time: 0.0221 memory: 17350 grad_norm: 6.4178 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8017 loss: 4.8017 2022/07/22 00:13:21 - mmengine - INFO - Epoch(train) [1][380/3757] lr: 1.0000e-02 eta: 2 days, 23:37:19 time: 0.6212 data_time: 0.0212 memory: 17350 grad_norm: 6.4335 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1568 loss: 4.1568 2022/07/22 00:13:35 - mmengine - INFO - Epoch(train) [1][400/3757] lr: 1.0000e-02 eta: 2 days, 23:40:59 time: 0.6994 data_time: 0.0258 memory: 17350 grad_norm: 6.4921 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4495 loss: 4.4495 2022/07/22 00:13:47 - mmengine - INFO - Epoch(train) [1][420/3757] lr: 1.0000e-02 eta: 2 days, 23:21:12 time: 0.6220 data_time: 0.0227 memory: 17350 grad_norm: 6.5562 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.7288 loss: 4.7288 2022/07/22 00:14:00 - mmengine - INFO - Epoch(train) [1][440/3757] lr: 1.0000e-02 eta: 2 days, 23:14:08 time: 0.6604 data_time: 0.0130 memory: 17350 grad_norm: 6.5776 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.4656 loss: 4.4656 2022/07/22 00:14:15 - mmengine - INFO - Epoch(train) [1][460/3757] lr: 1.0000e-02 eta: 2 days, 23:24:33 time: 0.7226 data_time: 0.0238 memory: 17350 grad_norm: 6.6906 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.5033 loss: 4.5033 2022/07/22 00:14:27 - mmengine - INFO - Epoch(train) [1][480/3757] lr: 1.0000e-02 eta: 2 days, 23:04:43 time: 0.6099 data_time: 0.0234 memory: 17350 grad_norm: 6.6753 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.4703 loss: 4.4703 2022/07/22 00:14:41 - mmengine - INFO - Epoch(train) [1][500/3757] lr: 1.0000e-02 eta: 2 days, 23:13:14 time: 0.7169 data_time: 0.0216 memory: 17350 grad_norm: 6.6754 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.4901 loss: 4.4901 2022/07/22 00:14:54 - mmengine - INFO - Epoch(train) [1][520/3757] lr: 1.0000e-02 eta: 2 days, 22:57:14 time: 0.6177 data_time: 0.0351 memory: 17350 grad_norm: 6.6655 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.4268 loss: 4.4268 2022/07/22 00:15:09 - mmengine - INFO - Epoch(train) [1][540/3757] lr: 1.0000e-02 eta: 2 days, 23:09:53 time: 0.7364 data_time: 0.0228 memory: 17350 grad_norm: 6.5746 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6138 loss: 4.6138 2022/07/22 00:15:21 - mmengine - INFO - Epoch(train) [1][560/3757] lr: 1.0000e-02 eta: 2 days, 22:52:40 time: 0.6069 data_time: 0.0224 memory: 17350 grad_norm: 6.6348 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.3864 loss: 4.3864 2022/07/22 00:15:36 - mmengine - INFO - Epoch(train) [1][580/3757] lr: 1.0000e-02 eta: 2 days, 23:06:26 time: 0.7451 data_time: 0.0230 memory: 17350 grad_norm: 6.8125 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.3906 loss: 4.3906 2022/07/22 00:15:48 - mmengine - INFO - Epoch(train) [1][600/3757] lr: 1.0000e-02 eta: 2 days, 22:49:18 time: 0.6013 data_time: 0.0263 memory: 17350 grad_norm: 6.5995 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3104 loss: 4.3104 2022/07/22 00:16:01 - mmengine - INFO - Epoch(train) [1][620/3757] lr: 1.0000e-02 eta: 2 days, 22:48:50 time: 0.6785 data_time: 0.0217 memory: 17350 grad_norm: 6.7099 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.2335 loss: 4.2335 2022/07/22 00:16:15 - mmengine - INFO - Epoch(train) [1][640/3757] lr: 1.0000e-02 eta: 2 days, 22:53:25 time: 0.7044 data_time: 0.0222 memory: 17350 grad_norm: 6.7878 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4215 loss: 4.4215 2022/07/22 00:16:29 - mmengine - INFO - Epoch(train) [1][660/3757] lr: 1.0000e-02 eta: 2 days, 22:49:28 time: 0.6608 data_time: 0.0232 memory: 17350 grad_norm: 6.7500 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.3155 loss: 4.3155 2022/07/22 00:16:41 - mmengine - INFO - Epoch(train) [1][680/3757] lr: 1.0000e-02 eta: 2 days, 22:40:47 time: 0.6338 data_time: 0.0177 memory: 17350 grad_norm: 6.5782 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1357 loss: 4.1357 2022/07/22 00:16:59 - mmengine - INFO - Epoch(train) [1][700/3757] lr: 1.0000e-02 eta: 2 days, 23:17:12 time: 0.8836 data_time: 0.0221 memory: 17350 grad_norm: 6.7355 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.3037 loss: 4.3037 2022/07/22 00:17:11 - mmengine - INFO - Epoch(train) [1][720/3757] lr: 1.0000e-02 eta: 2 days, 23:03:29 time: 0.6067 data_time: 0.0226 memory: 17350 grad_norm: 6.7617 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2271 loss: 4.2271 2022/07/22 00:17:24 - mmengine - INFO - Epoch(train) [1][740/3757] lr: 1.0000e-02 eta: 2 days, 22:58:47 time: 0.6557 data_time: 0.0219 memory: 17350 grad_norm: 6.8740 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.2961 loss: 4.2961 2022/07/22 00:17:39 - mmengine - INFO - Epoch(train) [1][760/3757] lr: 1.0000e-02 eta: 2 days, 23:08:05 time: 0.7395 data_time: 0.0246 memory: 17350 grad_norm: 6.6357 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 4.0451 loss: 4.0451 2022/07/22 00:17:51 - mmengine - INFO - Epoch(train) [1][780/3757] lr: 1.0000e-02 eta: 2 days, 22:52:48 time: 0.5890 data_time: 0.0218 memory: 17350 grad_norm: 6.8522 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.1571 loss: 4.1571 2022/07/22 00:18:05 - mmengine - INFO - Epoch(train) [1][800/3757] lr: 1.0000e-02 eta: 2 days, 22:56:50 time: 0.7078 data_time: 0.0221 memory: 17350 grad_norm: 6.6658 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.4162 loss: 4.4162 2022/07/22 00:18:17 - mmengine - INFO - Epoch(train) [1][820/3757] lr: 1.0000e-02 eta: 2 days, 22:43:21 time: 0.5943 data_time: 0.0232 memory: 17350 grad_norm: 6.7864 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.1768 loss: 4.1768 2022/07/22 00:18:31 - mmengine - INFO - Epoch(train) [1][840/3757] lr: 1.0000e-02 eta: 2 days, 22:47:59 time: 0.7118 data_time: 0.0210 memory: 17350 grad_norm: 6.8105 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.0466 loss: 4.0466 2022/07/22 00:18:43 - mmengine - INFO - Epoch(train) [1][860/3757] lr: 1.0000e-02 eta: 2 days, 22:39:50 time: 0.6254 data_time: 0.0235 memory: 17350 grad_norm: 6.7857 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.9982 loss: 3.9982 2022/07/22 00:18:58 - mmengine - INFO - Epoch(train) [1][880/3757] lr: 1.0000e-02 eta: 2 days, 22:46:19 time: 0.7259 data_time: 0.0219 memory: 17350 grad_norm: 6.7441 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.2701 loss: 4.2701 2022/07/22 00:19:10 - mmengine - INFO - Epoch(train) [1][900/3757] lr: 1.0000e-02 eta: 2 days, 22:34:01 time: 0.5927 data_time: 0.0241 memory: 17350 grad_norm: 6.8838 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1860 loss: 4.1860 2022/07/22 00:19:25 - mmengine - INFO - Epoch(train) [1][920/3757] lr: 1.0000e-02 eta: 2 days, 22:41:39 time: 0.7357 data_time: 0.0206 memory: 17350 grad_norm: 6.7779 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9213 loss: 3.9213 2022/07/22 00:19:37 - mmengine - INFO - Epoch(train) [1][940/3757] lr: 1.0000e-02 eta: 2 days, 22:33:45 time: 0.6214 data_time: 0.0244 memory: 17350 grad_norm: 6.8133 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.8844 loss: 3.8844 2022/07/22 00:19:51 - mmengine - INFO - Epoch(train) [1][960/3757] lr: 1.0000e-02 eta: 2 days, 22:37:52 time: 0.7112 data_time: 0.0214 memory: 17350 grad_norm: 6.7708 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1456 loss: 4.1456 2022/07/22 00:20:04 - mmengine - INFO - Epoch(train) [1][980/3757] lr: 1.0000e-02 eta: 2 days, 22:31:39 time: 0.6315 data_time: 0.0224 memory: 17350 grad_norm: 6.6323 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.0987 loss: 4.0987 2022/07/22 00:20:18 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 00:20:18 - mmengine - INFO - Epoch(train) [1][1000/3757] lr: 1.0000e-02 eta: 2 days, 22:33:59 time: 0.6981 data_time: 0.0204 memory: 17350 grad_norm: 6.7101 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.8164 loss: 3.8164 2022/07/22 00:20:31 - mmengine - INFO - Epoch(train) [1][1020/3757] lr: 1.0000e-02 eta: 2 days, 22:30:47 time: 0.6537 data_time: 0.0213 memory: 17350 grad_norm: 6.7848 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8113 loss: 3.8113 2022/07/22 00:20:45 - mmengine - INFO - Epoch(train) [1][1040/3757] lr: 1.0000e-02 eta: 2 days, 22:35:41 time: 0.7201 data_time: 0.0217 memory: 17350 grad_norm: 6.7075 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.9301 loss: 3.9301 2022/07/22 00:20:58 - mmengine - INFO - Epoch(train) [1][1060/3757] lr: 1.0000e-02 eta: 2 days, 22:31:26 time: 0.6442 data_time: 0.0239 memory: 17350 grad_norm: 6.7470 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.9401 loss: 3.9401 2022/07/22 00:21:11 - mmengine - INFO - Epoch(train) [1][1080/3757] lr: 1.0000e-02 eta: 2 days, 22:25:07 time: 0.6250 data_time: 0.0214 memory: 17350 grad_norm: 6.8916 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8963 loss: 3.8963 2022/07/22 00:21:26 - mmengine - INFO - Epoch(train) [1][1100/3757] lr: 1.0000e-02 eta: 2 days, 22:33:47 time: 0.7552 data_time: 0.0227 memory: 17350 grad_norm: 6.7547 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2144 loss: 4.2144 2022/07/22 00:21:38 - mmengine - INFO - Epoch(train) [1][1120/3757] lr: 1.0000e-02 eta: 2 days, 22:26:14 time: 0.6123 data_time: 0.0211 memory: 17350 grad_norm: 6.7238 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.1360 loss: 4.1360 2022/07/22 00:21:51 - mmengine - INFO - Epoch(train) [1][1140/3757] lr: 1.0000e-02 eta: 2 days, 22:25:32 time: 0.6727 data_time: 0.0184 memory: 17350 grad_norm: 6.6449 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.9490 loss: 3.9490 2022/07/22 00:22:05 - mmengine - INFO - Epoch(train) [1][1160/3757] lr: 1.0000e-02 eta: 2 days, 22:26:57 time: 0.6921 data_time: 0.0223 memory: 17350 grad_norm: 6.7455 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1287 loss: 4.1287 2022/07/22 00:22:19 - mmengine - INFO - Epoch(train) [1][1180/3757] lr: 1.0000e-02 eta: 2 days, 22:25:56 time: 0.6696 data_time: 0.0232 memory: 17350 grad_norm: 6.7162 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.0842 loss: 4.0842 2022/07/22 00:22:31 - mmengine - INFO - Epoch(train) [1][1200/3757] lr: 1.0000e-02 eta: 2 days, 22:20:31 time: 0.6271 data_time: 0.0215 memory: 17350 grad_norm: 6.6444 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7688 loss: 3.7688 2022/07/22 00:22:46 - mmengine - INFO - Epoch(train) [1][1220/3757] lr: 1.0000e-02 eta: 2 days, 22:24:19 time: 0.7155 data_time: 0.0248 memory: 17350 grad_norm: 6.7641 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6396 loss: 3.6396 2022/07/22 00:22:59 - mmengine - INFO - Epoch(train) [1][1240/3757] lr: 1.0000e-02 eta: 2 days, 22:21:13 time: 0.6483 data_time: 0.0208 memory: 17350 grad_norm: 6.7256 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8738 loss: 3.8738 2022/07/22 00:23:12 - mmengine - INFO - Epoch(train) [1][1260/3757] lr: 1.0000e-02 eta: 2 days, 22:19:41 time: 0.6631 data_time: 0.0212 memory: 17350 grad_norm: 6.8211 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0629 loss: 4.0629 2022/07/22 00:23:24 - mmengine - INFO - Epoch(train) [1][1280/3757] lr: 1.0000e-02 eta: 2 days, 22:15:22 time: 0.6342 data_time: 0.0234 memory: 17350 grad_norm: 6.6840 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.8998 loss: 3.8998 2022/07/22 00:23:39 - mmengine - INFO - Epoch(train) [1][1300/3757] lr: 1.0000e-02 eta: 2 days, 22:19:07 time: 0.7169 data_time: 0.0230 memory: 17350 grad_norm: 6.7281 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9622 loss: 3.9622 2022/07/22 00:23:51 - mmengine - INFO - Epoch(train) [1][1320/3757] lr: 1.0000e-02 eta: 2 days, 22:11:53 time: 0.6021 data_time: 0.0201 memory: 17350 grad_norm: 6.6331 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.9754 loss: 3.9754 2022/07/22 00:24:05 - mmengine - INFO - Epoch(train) [1][1340/3757] lr: 1.0000e-02 eta: 2 days, 22:15:38 time: 0.7178 data_time: 0.0214 memory: 17350 grad_norm: 6.5792 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.9147 loss: 3.9147 2022/07/22 00:24:18 - mmengine - INFO - Epoch(train) [1][1360/3757] lr: 1.0000e-02 eta: 2 days, 22:10:17 time: 0.6198 data_time: 0.0689 memory: 17350 grad_norm: 6.7284 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7418 loss: 3.7418 2022/07/22 00:24:32 - mmengine - INFO - Epoch(train) [1][1380/3757] lr: 1.0000e-02 eta: 2 days, 22:12:56 time: 0.7066 data_time: 0.3419 memory: 17350 grad_norm: 6.6775 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8299 loss: 3.8299 2022/07/22 00:24:44 - mmengine - INFO - Epoch(train) [1][1400/3757] lr: 1.0000e-02 eta: 2 days, 22:08:42 time: 0.6303 data_time: 0.2994 memory: 17350 grad_norm: 6.7189 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.0237 loss: 4.0237 2022/07/22 00:24:59 - mmengine - INFO - Epoch(train) [1][1420/3757] lr: 1.0000e-02 eta: 2 days, 22:14:30 time: 0.7433 data_time: 0.4185 memory: 17350 grad_norm: 6.6635 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8941 loss: 3.8941 2022/07/22 00:25:11 - mmengine - INFO - Epoch(train) [1][1440/3757] lr: 1.0000e-02 eta: 2 days, 22:07:53 time: 0.6018 data_time: 0.2770 memory: 17350 grad_norm: 6.7273 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.9434 loss: 3.9434 2022/07/22 00:25:26 - mmengine - INFO - Epoch(train) [1][1460/3757] lr: 1.0000e-02 eta: 2 days, 22:13:17 time: 0.7405 data_time: 0.3467 memory: 17350 grad_norm: 6.6762 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.0025 loss: 4.0025 2022/07/22 00:25:38 - mmengine - INFO - Epoch(train) [1][1480/3757] lr: 1.0000e-02 eta: 2 days, 22:05:01 time: 0.5800 data_time: 0.1794 memory: 17350 grad_norm: 6.6491 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.8648 loss: 3.8648 2022/07/22 00:25:53 - mmengine - INFO - Epoch(train) [1][1500/3757] lr: 1.0000e-02 eta: 2 days, 22:11:03 time: 0.7495 data_time: 0.4183 memory: 17350 grad_norm: 6.7210 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.1609 loss: 4.1609 2022/07/22 00:26:04 - mmengine - INFO - Epoch(train) [1][1520/3757] lr: 1.0000e-02 eta: 2 days, 22:03:45 time: 0.5890 data_time: 0.2573 memory: 17350 grad_norm: 6.5825 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.7321 loss: 3.7321 2022/07/22 00:26:18 - mmengine - INFO - Epoch(train) [1][1540/3757] lr: 1.0000e-02 eta: 2 days, 22:04:55 time: 0.6913 data_time: 0.3476 memory: 17350 grad_norm: 6.6490 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.8317 loss: 3.8317 2022/07/22 00:26:30 - mmengine - INFO - Epoch(train) [1][1560/3757] lr: 1.0000e-02 eta: 2 days, 21:58:15 time: 0.5937 data_time: 0.2658 memory: 17350 grad_norm: 6.6009 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.0261 loss: 4.0261 2022/07/22 00:26:45 - mmengine - INFO - Epoch(train) [1][1580/3757] lr: 1.0000e-02 eta: 2 days, 22:05:06 time: 0.7629 data_time: 0.2985 memory: 17350 grad_norm: 6.6307 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7933 loss: 3.7933 2022/07/22 00:26:57 - mmengine - INFO - Epoch(train) [1][1600/3757] lr: 1.0000e-02 eta: 2 days, 21:57:58 time: 0.5857 data_time: 0.1956 memory: 17350 grad_norm: 6.6707 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8073 loss: 3.8073 2022/07/22 00:27:12 - mmengine - INFO - Epoch(train) [1][1620/3757] lr: 1.0000e-02 eta: 2 days, 22:03:27 time: 0.7475 data_time: 0.3154 memory: 17350 grad_norm: 6.6404 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7569 loss: 3.7569 2022/07/22 00:27:24 - mmengine - INFO - Epoch(train) [1][1640/3757] lr: 1.0000e-02 eta: 2 days, 21:59:10 time: 0.6207 data_time: 0.1768 memory: 17350 grad_norm: 6.7181 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.8358 loss: 3.8358 2022/07/22 00:27:38 - mmengine - INFO - Epoch(train) [1][1660/3757] lr: 1.0000e-02 eta: 2 days, 22:00:52 time: 0.6992 data_time: 0.1853 memory: 17350 grad_norm: 6.4730 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9636 loss: 3.9636 2022/07/22 00:27:51 - mmengine - INFO - Epoch(train) [1][1680/3757] lr: 1.0000e-02 eta: 2 days, 21:58:42 time: 0.6476 data_time: 0.2079 memory: 17350 grad_norm: 6.6077 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.7707 loss: 3.7707 2022/07/22 00:28:06 - mmengine - INFO - Epoch(train) [1][1700/3757] lr: 1.0000e-02 eta: 2 days, 22:02:46 time: 0.7322 data_time: 0.2482 memory: 17350 grad_norm: 6.6693 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8324 loss: 3.8324 2022/07/22 00:28:18 - mmengine - INFO - Epoch(train) [1][1720/3757] lr: 1.0000e-02 eta: 2 days, 21:55:23 time: 0.5753 data_time: 0.2286 memory: 17350 grad_norm: 6.4310 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8731 loss: 3.8731 2022/07/22 00:28:32 - mmengine - INFO - Epoch(train) [1][1740/3757] lr: 1.0000e-02 eta: 2 days, 21:59:41 time: 0.7364 data_time: 0.3072 memory: 17350 grad_norm: 6.5316 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8634 loss: 3.8634 2022/07/22 00:28:45 - mmengine - INFO - Epoch(train) [1][1760/3757] lr: 1.0000e-02 eta: 2 days, 21:56:00 time: 0.6249 data_time: 0.2309 memory: 17350 grad_norm: 6.6498 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5365 loss: 3.5365 2022/07/22 00:28:59 - mmengine - INFO - Epoch(train) [1][1780/3757] lr: 1.0000e-02 eta: 2 days, 21:57:57 time: 0.7043 data_time: 0.2085 memory: 17350 grad_norm: 6.5773 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.7226 loss: 3.7226 2022/07/22 00:29:11 - mmengine - INFO - Epoch(train) [1][1800/3757] lr: 1.0000e-02 eta: 2 days, 21:51:55 time: 0.5899 data_time: 0.1365 memory: 17350 grad_norm: 6.6455 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.0544 loss: 4.0544 2022/07/22 00:29:25 - mmengine - INFO - Epoch(train) [1][1820/3757] lr: 1.0000e-02 eta: 2 days, 21:56:22 time: 0.7410 data_time: 0.1106 memory: 17350 grad_norm: 6.6164 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7372 loss: 3.7372 2022/07/22 00:29:39 - mmengine - INFO - Epoch(train) [1][1840/3757] lr: 1.0000e-02 eta: 2 days, 21:54:45 time: 0.6527 data_time: 0.0213 memory: 17350 grad_norm: 6.5984 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1682 loss: 4.1682 2022/07/22 00:29:52 - mmengine - INFO - Epoch(train) [1][1860/3757] lr: 1.0000e-02 eta: 2 days, 21:53:21 time: 0.6558 data_time: 0.0212 memory: 17350 grad_norm: 6.6896 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.7471 loss: 3.7471 2022/07/22 00:30:07 - mmengine - INFO - Epoch(train) [1][1880/3757] lr: 1.0000e-02 eta: 2 days, 21:57:57 time: 0.7458 data_time: 0.0216 memory: 17350 grad_norm: 6.6910 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 3.5191 loss: 3.5191 2022/07/22 00:30:19 - mmengine - INFO - Epoch(train) [1][1900/3757] lr: 1.0000e-02 eta: 2 days, 21:53:09 time: 0.6040 data_time: 0.0221 memory: 17350 grad_norm: 6.6232 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9394 loss: 3.9394 2022/07/22 00:30:34 - mmengine - INFO - Epoch(train) [1][1920/3757] lr: 1.0000e-02 eta: 2 days, 21:59:37 time: 0.7761 data_time: 0.0225 memory: 17350 grad_norm: 6.5398 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.3589 loss: 3.3589 2022/07/22 00:30:50 - mmengine - INFO - Epoch(train) [1][1940/3757] lr: 1.0000e-02 eta: 2 days, 22:07:22 time: 0.7983 data_time: 0.2106 memory: 17350 grad_norm: 6.8979 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.6525 loss: 3.6525 2022/07/22 00:31:02 - mmengine - INFO - Epoch(train) [1][1960/3757] lr: 1.0000e-02 eta: 2 days, 22:01:35 time: 0.5881 data_time: 0.0225 memory: 17350 grad_norm: 6.6367 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7076 loss: 3.7076 2022/07/22 00:31:16 - mmengine - INFO - Epoch(train) [1][1980/3757] lr: 1.0000e-02 eta: 2 days, 22:03:51 time: 0.7142 data_time: 0.0292 memory: 17350 grad_norm: 6.6911 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.5709 loss: 3.5709 2022/07/22 00:31:29 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 00:31:29 - mmengine - INFO - Epoch(train) [1][2000/3757] lr: 1.0000e-02 eta: 2 days, 22:01:13 time: 0.6361 data_time: 0.0224 memory: 17350 grad_norm: 6.6311 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.7368 loss: 3.7368 2022/07/22 00:31:41 - mmengine - INFO - Epoch(train) [1][2020/3757] lr: 1.0000e-02 eta: 2 days, 21:56:44 time: 0.6057 data_time: 0.0205 memory: 17350 grad_norm: 6.4528 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4307 loss: 3.4307 2022/07/22 00:31:56 - mmengine - INFO - Epoch(train) [1][2040/3757] lr: 1.0000e-02 eta: 2 days, 22:01:09 time: 0.7499 data_time: 0.0228 memory: 17350 grad_norm: 6.4148 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.6480 loss: 3.6480 2022/07/22 00:32:09 - mmengine - INFO - Epoch(train) [1][2060/3757] lr: 1.0000e-02 eta: 2 days, 21:58:10 time: 0.6288 data_time: 0.0227 memory: 17350 grad_norm: 6.5903 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.5838 loss: 3.5838 2022/07/22 00:32:23 - mmengine - INFO - Epoch(train) [1][2080/3757] lr: 1.0000e-02 eta: 2 days, 21:59:35 time: 0.7017 data_time: 0.0208 memory: 17350 grad_norm: 6.6005 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6864 loss: 3.6864 2022/07/22 00:32:35 - mmengine - INFO - Epoch(train) [1][2100/3757] lr: 1.0000e-02 eta: 2 days, 21:55:53 time: 0.6158 data_time: 0.0361 memory: 17350 grad_norm: 6.4151 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7864 loss: 3.7864 2022/07/22 00:32:50 - mmengine - INFO - Epoch(train) [1][2120/3757] lr: 1.0000e-02 eta: 2 days, 21:59:57 time: 0.7467 data_time: 0.0223 memory: 17350 grad_norm: 6.5186 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.7026 loss: 3.7026 2022/07/22 00:33:01 - mmengine - INFO - Epoch(train) [1][2140/3757] lr: 1.0000e-02 eta: 2 days, 21:54:10 time: 0.5790 data_time: 0.0218 memory: 17350 grad_norm: 6.4933 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.5246 loss: 3.5246 2022/07/22 00:33:17 - mmengine - INFO - Epoch(train) [1][2160/3757] lr: 1.0000e-02 eta: 2 days, 22:00:40 time: 0.7904 data_time: 0.0237 memory: 17350 grad_norm: 6.6359 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.9000 loss: 3.9000 2022/07/22 00:33:29 - mmengine - INFO - Epoch(train) [1][2180/3757] lr: 1.0000e-02 eta: 2 days, 21:54:32 time: 0.5712 data_time: 0.0229 memory: 17350 grad_norm: 6.6577 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4079 loss: 3.4079 2022/07/22 00:33:44 - mmengine - INFO - Epoch(train) [1][2200/3757] lr: 1.0000e-02 eta: 2 days, 21:58:24 time: 0.7462 data_time: 0.0215 memory: 17350 grad_norm: 6.5530 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.6999 loss: 3.6999 2022/07/22 00:33:55 - mmengine - INFO - Epoch(train) [1][2220/3757] lr: 1.0000e-02 eta: 2 days, 21:52:16 time: 0.5690 data_time: 0.0370 memory: 17350 grad_norm: 6.4631 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6571 loss: 3.6571 2022/07/22 00:34:10 - mmengine - INFO - Epoch(train) [1][2240/3757] lr: 1.0000e-02 eta: 2 days, 21:56:22 time: 0.7514 data_time: 0.0149 memory: 17350 grad_norm: 6.4360 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.9218 loss: 3.9218 2022/07/22 00:34:22 - mmengine - INFO - Epoch(train) [1][2260/3757] lr: 1.0000e-02 eta: 2 days, 21:51:35 time: 0.5912 data_time: 0.0241 memory: 17350 grad_norm: 6.5267 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.8047 loss: 3.8047 2022/07/22 00:34:37 - mmengine - INFO - Epoch(train) [1][2280/3757] lr: 1.0000e-02 eta: 2 days, 21:55:37 time: 0.7515 data_time: 0.0231 memory: 17350 grad_norm: 6.4670 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.5988 loss: 3.5988 2022/07/22 00:34:50 - mmengine - INFO - Epoch(train) [1][2300/3757] lr: 1.0000e-02 eta: 2 days, 21:53:24 time: 0.6374 data_time: 0.0223 memory: 17350 grad_norm: 6.3905 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8089 loss: 3.8089 2022/07/22 00:35:04 - mmengine - INFO - Epoch(train) [1][2320/3757] lr: 1.0000e-02 eta: 2 days, 21:55:57 time: 0.7256 data_time: 0.0233 memory: 17350 grad_norm: 6.4851 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4684 loss: 3.4684 2022/07/22 00:35:15 - mmengine - INFO - Epoch(train) [1][2340/3757] lr: 1.0000e-02 eta: 2 days, 21:50:05 time: 0.5680 data_time: 0.0254 memory: 17350 grad_norm: 6.4992 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.7879 loss: 3.7879 2022/07/22 00:35:33 - mmengine - INFO - Epoch(train) [1][2360/3757] lr: 1.0000e-02 eta: 2 days, 21:59:20 time: 0.8533 data_time: 0.0294 memory: 17350 grad_norm: 6.4260 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4941 loss: 3.4941 2022/07/22 00:35:45 - mmengine - INFO - Epoch(train) [1][2380/3757] lr: 1.0000e-02 eta: 2 days, 21:56:09 time: 0.6181 data_time: 0.0241 memory: 17350 grad_norm: 6.5165 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7716 loss: 3.7716 2022/07/22 00:35:59 - mmengine - INFO - Epoch(train) [1][2400/3757] lr: 1.0000e-02 eta: 2 days, 21:58:36 time: 0.7259 data_time: 0.0204 memory: 17350 grad_norm: 6.3968 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5478 loss: 3.5478 2022/07/22 00:36:11 - mmengine - INFO - Epoch(train) [1][2420/3757] lr: 1.0000e-02 eta: 2 days, 21:53:05 time: 0.5722 data_time: 0.0230 memory: 17350 grad_norm: 6.3895 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.9780 loss: 3.9780 2022/07/22 00:36:25 - mmengine - INFO - Epoch(train) [1][2440/3757] lr: 1.0000e-02 eta: 2 days, 21:55:40 time: 0.7289 data_time: 0.0212 memory: 17350 grad_norm: 6.4599 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.8039 loss: 3.8039 2022/07/22 00:36:38 - mmengine - INFO - Epoch(train) [1][2460/3757] lr: 1.0000e-02 eta: 2 days, 21:53:55 time: 0.6444 data_time: 0.0235 memory: 17350 grad_norm: 6.6646 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6994 loss: 3.6994 2022/07/22 00:36:52 - mmengine - INFO - Epoch(train) [1][2480/3757] lr: 1.0000e-02 eta: 2 days, 21:54:55 time: 0.6987 data_time: 0.0228 memory: 17350 grad_norm: 6.6183 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6709 loss: 3.6709 2022/07/22 00:37:05 - mmengine - INFO - Epoch(train) [1][2500/3757] lr: 1.0000e-02 eta: 2 days, 21:52:40 time: 0.6337 data_time: 0.0233 memory: 17350 grad_norm: 6.5533 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7144 loss: 3.7144 2022/07/22 00:37:20 - mmengine - INFO - Epoch(train) [1][2520/3757] lr: 1.0000e-02 eta: 2 days, 21:55:07 time: 0.7281 data_time: 0.0214 memory: 17350 grad_norm: 6.4119 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6983 loss: 3.6983 2022/07/22 00:37:31 - mmengine - INFO - Epoch(train) [1][2540/3757] lr: 1.0000e-02 eta: 2 days, 21:49:36 time: 0.5665 data_time: 0.0210 memory: 17350 grad_norm: 6.5152 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.5427 loss: 3.5427 2022/07/22 00:37:45 - mmengine - INFO - Epoch(train) [1][2560/3757] lr: 1.0000e-02 eta: 2 days, 21:51:54 time: 0.7256 data_time: 0.0230 memory: 17350 grad_norm: 6.5089 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5230 loss: 3.5230 2022/07/22 00:37:58 - mmengine - INFO - Epoch(train) [1][2580/3757] lr: 1.0000e-02 eta: 2 days, 21:49:13 time: 0.6229 data_time: 0.0222 memory: 17350 grad_norm: 6.5552 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7933 loss: 3.7933 2022/07/22 00:38:12 - mmengine - INFO - Epoch(train) [1][2600/3757] lr: 1.0000e-02 eta: 2 days, 21:50:39 time: 0.7081 data_time: 0.0133 memory: 17350 grad_norm: 6.4362 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.7708 loss: 3.7708 2022/07/22 00:38:25 - mmengine - INFO - Epoch(train) [1][2620/3757] lr: 1.0000e-02 eta: 2 days, 21:48:03 time: 0.6242 data_time: 0.0241 memory: 17350 grad_norm: 6.5481 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3888 loss: 3.3888 2022/07/22 00:38:38 - mmengine - INFO - Epoch(train) [1][2640/3757] lr: 1.0000e-02 eta: 2 days, 21:48:53 time: 0.6957 data_time: 0.0220 memory: 17350 grad_norm: 6.3358 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.5902 loss: 3.5902 2022/07/22 00:38:51 - mmengine - INFO - Epoch(train) [1][2660/3757] lr: 1.0000e-02 eta: 2 days, 21:46:38 time: 0.6303 data_time: 0.0188 memory: 17350 grad_norm: 6.4308 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3771 loss: 3.3771 2022/07/22 00:39:05 - mmengine - INFO - Epoch(train) [1][2680/3757] lr: 1.0000e-02 eta: 2 days, 21:48:12 time: 0.7121 data_time: 0.0215 memory: 17350 grad_norm: 6.4739 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4646 loss: 3.4646 2022/07/22 00:39:17 - mmengine - INFO - Epoch(train) [1][2700/3757] lr: 1.0000e-02 eta: 2 days, 21:44:51 time: 0.6057 data_time: 0.0218 memory: 17350 grad_norm: 6.4184 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.9739 loss: 3.9739 2022/07/22 00:39:31 - mmengine - INFO - Epoch(train) [1][2720/3757] lr: 1.0000e-02 eta: 2 days, 21:45:39 time: 0.6956 data_time: 0.0228 memory: 17350 grad_norm: 6.4520 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.5472 loss: 3.5472 2022/07/22 00:39:45 - mmengine - INFO - Epoch(train) [1][2740/3757] lr: 1.0000e-02 eta: 2 days, 21:45:50 time: 0.6824 data_time: 0.0232 memory: 17350 grad_norm: 6.4161 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.7703 loss: 3.7703 2022/07/22 00:39:58 - mmengine - INFO - Epoch(train) [1][2760/3757] lr: 1.0000e-02 eta: 2 days, 21:44:06 time: 0.6398 data_time: 0.0213 memory: 17350 grad_norm: 6.3699 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3352 loss: 3.3352 2022/07/22 00:40:11 - mmengine - INFO - Epoch(train) [1][2780/3757] lr: 1.0000e-02 eta: 2 days, 21:43:13 time: 0.6584 data_time: 0.0224 memory: 17350 grad_norm: 6.5129 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4336 loss: 3.4336 2022/07/22 00:40:26 - mmengine - INFO - Epoch(train) [1][2800/3757] lr: 1.0000e-02 eta: 2 days, 21:45:55 time: 0.7391 data_time: 0.0234 memory: 17350 grad_norm: 6.4222 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.6798 loss: 3.6798 2022/07/22 00:40:38 - mmengine - INFO - Epoch(train) [1][2820/3757] lr: 1.0000e-02 eta: 2 days, 21:43:36 time: 0.6261 data_time: 0.0211 memory: 17350 grad_norm: 6.5554 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.5815 loss: 3.5815 2022/07/22 00:40:53 - mmengine - INFO - Epoch(train) [1][2840/3757] lr: 1.0000e-02 eta: 2 days, 21:46:17 time: 0.7394 data_time: 0.0218 memory: 17350 grad_norm: 6.6620 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4369 loss: 3.4369 2022/07/22 00:41:05 - mmengine - INFO - Epoch(train) [1][2860/3757] lr: 1.0000e-02 eta: 2 days, 21:42:54 time: 0.6013 data_time: 0.0208 memory: 17350 grad_norm: 6.3717 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.7174 loss: 3.7174 2022/07/22 00:41:22 - mmengine - INFO - Epoch(train) [1][2880/3757] lr: 1.0000e-02 eta: 2 days, 21:50:37 time: 0.8571 data_time: 0.0202 memory: 17350 grad_norm: 6.5059 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.7931 loss: 3.7931 2022/07/22 00:41:34 - mmengine - INFO - Epoch(train) [1][2900/3757] lr: 1.0000e-02 eta: 2 days, 21:46:53 time: 0.5922 data_time: 0.0241 memory: 17350 grad_norm: 6.2736 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2349 loss: 3.2349 2022/07/22 00:41:48 - mmengine - INFO - Epoch(train) [1][2920/3757] lr: 1.0000e-02 eta: 2 days, 21:47:49 time: 0.7014 data_time: 0.0202 memory: 17350 grad_norm: 6.3585 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.4509 loss: 3.4509 2022/07/22 00:42:01 - mmengine - INFO - Epoch(train) [1][2940/3757] lr: 1.0000e-02 eta: 2 days, 21:47:26 time: 0.6700 data_time: 0.0231 memory: 17350 grad_norm: 6.5489 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.5311 loss: 3.5311 2022/07/22 00:42:15 - mmengine - INFO - Epoch(train) [1][2960/3757] lr: 1.0000e-02 eta: 2 days, 21:46:49 time: 0.6647 data_time: 0.0245 memory: 17350 grad_norm: 6.5758 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6826 loss: 3.6826 2022/07/22 00:42:28 - mmengine - INFO - Epoch(train) [1][2980/3757] lr: 1.0000e-02 eta: 2 days, 21:45:19 time: 0.6436 data_time: 0.0221 memory: 17350 grad_norm: 6.2863 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4069 loss: 3.4069 2022/07/22 00:42:41 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 00:42:41 - mmengine - INFO - Epoch(train) [1][3000/3757] lr: 1.0000e-02 eta: 2 days, 21:44:02 time: 0.6482 data_time: 0.0242 memory: 17350 grad_norm: 6.4275 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2929 loss: 3.2929 2022/07/22 00:42:55 - mmengine - INFO - Epoch(train) [1][3020/3757] lr: 1.0000e-02 eta: 2 days, 21:45:37 time: 0.7173 data_time: 0.0205 memory: 17350 grad_norm: 6.6304 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3298 loss: 3.3298 2022/07/22 00:43:08 - mmengine - INFO - Epoch(train) [1][3040/3757] lr: 1.0000e-02 eta: 2 days, 21:43:45 time: 0.6337 data_time: 0.0241 memory: 17350 grad_norm: 6.6058 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.8968 loss: 3.8968 2022/07/22 00:43:22 - mmengine - INFO - Epoch(train) [1][3060/3757] lr: 1.0000e-02 eta: 2 days, 21:44:28 time: 0.6967 data_time: 0.0224 memory: 17350 grad_norm: 6.3371 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6427 loss: 3.6427 2022/07/22 00:43:34 - mmengine - INFO - Epoch(train) [1][3080/3757] lr: 1.0000e-02 eta: 2 days, 21:41:54 time: 0.6157 data_time: 0.0354 memory: 17350 grad_norm: 6.5417 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.4443 loss: 3.4443 2022/07/22 00:43:48 - mmengine - INFO - Epoch(train) [1][3100/3757] lr: 1.0000e-02 eta: 2 days, 21:42:57 time: 0.7052 data_time: 0.1762 memory: 17350 grad_norm: 6.3943 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5020 loss: 3.5020 2022/07/22 00:44:00 - mmengine - INFO - Epoch(train) [1][3120/3757] lr: 1.0000e-02 eta: 2 days, 21:39:59 time: 0.6049 data_time: 0.1033 memory: 17350 grad_norm: 6.2522 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3854 loss: 3.3854 2022/07/22 00:44:13 - mmengine - INFO - Epoch(train) [1][3140/3757] lr: 1.0000e-02 eta: 2 days, 21:39:40 time: 0.6708 data_time: 0.0841 memory: 17350 grad_norm: 6.3306 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4839 loss: 3.4839 2022/07/22 00:44:29 - mmengine - INFO - Epoch(train) [1][3160/3757] lr: 1.0000e-02 eta: 2 days, 21:43:38 time: 0.7798 data_time: 0.0603 memory: 17350 grad_norm: 6.4472 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5098 loss: 3.5098 2022/07/22 00:44:42 - mmengine - INFO - Epoch(train) [1][3180/3757] lr: 1.0000e-02 eta: 2 days, 21:42:06 time: 0.6404 data_time: 0.0229 memory: 17350 grad_norm: 6.2813 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4179 loss: 3.4179 2022/07/22 00:44:56 - mmengine - INFO - Epoch(train) [1][3200/3757] lr: 1.0000e-02 eta: 2 days, 21:42:10 time: 0.6810 data_time: 0.0212 memory: 17350 grad_norm: 6.2884 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6908 loss: 3.6908 2022/07/22 00:45:08 - mmengine - INFO - Epoch(train) [1][3220/3757] lr: 1.0000e-02 eta: 2 days, 21:39:12 time: 0.6025 data_time: 0.0235 memory: 17350 grad_norm: 6.3651 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3942 loss: 3.3942 2022/07/22 00:45:21 - mmengine - INFO - Epoch(train) [1][3240/3757] lr: 1.0000e-02 eta: 2 days, 21:39:54 time: 0.6971 data_time: 0.0352 memory: 17350 grad_norm: 6.5581 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5568 loss: 3.5568 2022/07/22 00:45:33 - mmengine - INFO - Epoch(train) [1][3260/3757] lr: 1.0000e-02 eta: 2 days, 21:36:51 time: 0.5993 data_time: 0.0386 memory: 17350 grad_norm: 6.3598 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3603 loss: 3.3603 2022/07/22 00:45:48 - mmengine - INFO - Epoch(train) [1][3280/3757] lr: 1.0000e-02 eta: 2 days, 21:39:18 time: 0.7433 data_time: 0.0220 memory: 17350 grad_norm: 6.3804 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6449 loss: 3.6449 2022/07/22 00:46:00 - mmengine - INFO - Epoch(train) [1][3300/3757] lr: 1.0000e-02 eta: 2 days, 21:35:01 time: 0.5657 data_time: 0.0276 memory: 17350 grad_norm: 6.3764 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1415 loss: 3.1415 2022/07/22 00:46:14 - mmengine - INFO - Epoch(train) [1][3320/3757] lr: 1.0000e-02 eta: 2 days, 21:36:53 time: 0.7286 data_time: 0.1092 memory: 17350 grad_norm: 6.4027 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5974 loss: 3.5974 2022/07/22 00:46:29 - mmengine - INFO - Epoch(train) [1][3340/3757] lr: 1.0000e-02 eta: 2 days, 21:38:15 time: 0.7158 data_time: 0.2775 memory: 17350 grad_norm: 6.3126 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2551 loss: 3.2551 2022/07/22 00:46:40 - mmengine - INFO - Epoch(train) [1][3360/3757] lr: 1.0000e-02 eta: 2 days, 21:34:40 time: 0.5823 data_time: 0.1538 memory: 17350 grad_norm: 6.3411 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4632 loss: 3.4632 2022/07/22 00:46:55 - mmengine - INFO - Epoch(train) [1][3380/3757] lr: 1.0000e-02 eta: 2 days, 21:36:42 time: 0.7343 data_time: 0.1655 memory: 17350 grad_norm: 6.2768 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2646 loss: 3.2646 2022/07/22 00:47:08 - mmengine - INFO - Epoch(train) [1][3400/3757] lr: 1.0000e-02 eta: 2 days, 21:35:00 time: 0.6323 data_time: 0.0414 memory: 17350 grad_norm: 6.3237 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4051 loss: 3.4051 2022/07/22 00:47:22 - mmengine - INFO - Epoch(train) [1][3420/3757] lr: 1.0000e-02 eta: 2 days, 21:36:12 time: 0.7125 data_time: 0.0945 memory: 17350 grad_norm: 6.3768 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3504 loss: 3.3504 2022/07/22 00:47:34 - mmengine - INFO - Epoch(train) [1][3440/3757] lr: 1.0000e-02 eta: 2 days, 21:33:14 time: 0.5968 data_time: 0.0336 memory: 17350 grad_norm: 6.2806 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.6703 loss: 3.6703 2022/07/22 00:47:50 - mmengine - INFO - Epoch(train) [1][3460/3757] lr: 1.0000e-02 eta: 2 days, 21:37:19 time: 0.7928 data_time: 0.0214 memory: 17350 grad_norm: 6.2074 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6223 loss: 3.6223 2022/07/22 00:48:00 - mmengine - INFO - Epoch(train) [1][3480/3757] lr: 1.0000e-02 eta: 2 days, 21:31:26 time: 0.5145 data_time: 0.0230 memory: 17350 grad_norm: 6.2115 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3606 loss: 3.3606 2022/07/22 00:48:12 - mmengine - INFO - Epoch(train) [1][3500/3757] lr: 1.0000e-02 eta: 2 days, 21:29:35 time: 0.6265 data_time: 0.0689 memory: 17350 grad_norm: 6.4393 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.3035 loss: 3.3035 2022/07/22 00:48:29 - mmengine - INFO - Epoch(train) [1][3520/3757] lr: 1.0000e-02 eta: 2 days, 21:35:08 time: 0.8363 data_time: 0.1116 memory: 17350 grad_norm: 6.5095 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6770 loss: 3.6770 2022/07/22 00:48:40 - mmengine - INFO - Epoch(train) [1][3540/3757] lr: 1.0000e-02 eta: 2 days, 21:30:40 time: 0.5517 data_time: 0.0229 memory: 17350 grad_norm: 6.2740 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4071 loss: 3.4071 2022/07/22 00:48:55 - mmengine - INFO - Epoch(train) [1][3560/3757] lr: 1.0000e-02 eta: 2 days, 21:33:23 time: 0.7568 data_time: 0.0465 memory: 17350 grad_norm: 6.2623 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.5917 loss: 3.5917 2022/07/22 00:49:07 - mmengine - INFO - Epoch(train) [1][3580/3757] lr: 1.0000e-02 eta: 2 days, 21:30:12 time: 0.5878 data_time: 0.0237 memory: 17350 grad_norm: 6.4692 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.6487 loss: 3.6487 2022/07/22 00:49:21 - mmengine - INFO - Epoch(train) [1][3600/3757] lr: 1.0000e-02 eta: 2 days, 21:30:53 time: 0.6983 data_time: 0.0413 memory: 17350 grad_norm: 6.3537 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2087 loss: 3.2087 2022/07/22 00:49:33 - mmengine - INFO - Epoch(train) [1][3620/3757] lr: 1.0000e-02 eta: 2 days, 21:28:49 time: 0.6190 data_time: 0.0247 memory: 17350 grad_norm: 6.2354 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3651 loss: 3.3651 2022/07/22 00:49:48 - mmengine - INFO - Epoch(train) [1][3640/3757] lr: 1.0000e-02 eta: 2 days, 21:30:26 time: 0.7261 data_time: 0.0246 memory: 17350 grad_norm: 6.3843 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6096 loss: 3.6096 2022/07/22 00:50:00 - mmengine - INFO - Epoch(train) [1][3660/3757] lr: 1.0000e-02 eta: 2 days, 21:28:00 time: 0.6075 data_time: 0.0220 memory: 17350 grad_norm: 6.3971 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.6291 loss: 3.6291 2022/07/22 00:50:15 - mmengine - INFO - Epoch(train) [1][3680/3757] lr: 1.0000e-02 eta: 2 days, 21:30:10 time: 0.7431 data_time: 0.0212 memory: 17350 grad_norm: 6.2907 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5549 loss: 3.5549 2022/07/22 00:50:28 - mmengine - INFO - Epoch(train) [1][3700/3757] lr: 1.0000e-02 eta: 2 days, 21:29:20 time: 0.6544 data_time: 0.0274 memory: 17350 grad_norm: 6.6270 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.5095 loss: 3.5095 2022/07/22 00:50:42 - mmengine - INFO - Epoch(train) [1][3720/3757] lr: 1.0000e-02 eta: 2 days, 21:29:41 time: 0.6898 data_time: 0.0224 memory: 17350 grad_norm: 6.3311 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.2969 loss: 3.2969 2022/07/22 00:50:54 - mmengine - INFO - Epoch(train) [1][3740/3757] lr: 1.0000e-02 eta: 2 days, 21:26:52 time: 0.5941 data_time: 0.0229 memory: 17350 grad_norm: 6.2478 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1176 loss: 3.1176 2022/07/22 00:51:03 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 00:51:03 - mmengine - INFO - Epoch(train) [1][3757/3757] lr: 1.0000e-02 eta: 2 days, 21:26:52 time: 0.5185 data_time: 0.0239 memory: 17350 grad_norm: 6.1665 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 3.1488 loss: 3.1488 2022/07/22 00:51:23 - mmengine - INFO - Epoch(val) [1][20/310] eta: 0:04:51 time: 1.0058 data_time: 0.8914 memory: 3406 2022/07/22 00:51:33 - mmengine - INFO - Epoch(val) [1][40/310] eta: 0:02:23 time: 0.5332 data_time: 0.4210 memory: 3406 2022/07/22 00:51:49 - mmengine - INFO - Epoch(val) [1][60/310] eta: 0:03:13 time: 0.7729 data_time: 0.6593 memory: 3406 2022/07/22 00:52:01 - mmengine - INFO - Epoch(val) [1][80/310] eta: 0:02:16 time: 0.5936 data_time: 0.4813 memory: 3406 2022/07/22 00:52:16 - mmengine - INFO - Epoch(val) [1][100/310] eta: 0:02:37 time: 0.7514 data_time: 0.6380 memory: 3406 2022/07/22 00:52:27 - mmengine - INFO - Epoch(val) [1][120/310] eta: 0:01:44 time: 0.5516 data_time: 0.4384 memory: 3406 2022/07/22 00:52:45 - mmengine - INFO - Epoch(val) [1][140/310] eta: 0:02:37 time: 0.9278 data_time: 0.8150 memory: 3406 2022/07/22 00:52:56 - mmengine - INFO - Epoch(val) [1][160/310] eta: 0:01:20 time: 0.5373 data_time: 0.4264 memory: 3406 2022/07/22 00:53:11 - mmengine - INFO - Epoch(val) [1][180/310] eta: 0:01:40 time: 0.7706 data_time: 0.6578 memory: 3406 2022/07/22 00:53:23 - mmengine - INFO - Epoch(val) [1][200/310] eta: 0:01:02 time: 0.5641 data_time: 0.4517 memory: 3406 2022/07/22 00:53:38 - mmengine - INFO - Epoch(val) [1][220/310] eta: 0:01:08 time: 0.7649 data_time: 0.6535 memory: 3406 2022/07/22 00:53:50 - mmengine - INFO - Epoch(val) [1][240/310] eta: 0:00:41 time: 0.5862 data_time: 0.4750 memory: 3406 2022/07/22 00:54:05 - mmengine - INFO - Epoch(val) [1][260/310] eta: 0:00:37 time: 0.7517 data_time: 0.6395 memory: 3406 2022/07/22 00:54:16 - mmengine - INFO - Epoch(val) [1][280/310] eta: 0:00:16 time: 0.5496 data_time: 0.4376 memory: 3406 2022/07/22 00:54:30 - mmengine - INFO - Epoch(val) [1][300/310] eta: 0:00:07 time: 0.7054 data_time: 0.5937 memory: 3406 2022/07/22 00:54:33 - mmengine - INFO - Epoch(val) [1][310/310] acc/top1: 0.2973 acc/top5: 0.5756 acc/mean1: 0.2972 2022/07/22 00:54:35 - mmengine - INFO - The best checkpoint with 0.2973 acc/top1 at 2 epoch is saved to best_acc/top1_epoch_2.pth. 2022/07/22 00:54:52 - mmengine - INFO - Epoch(train) [2][20/3757] lr: 1.0000e-02 eta: 2 days, 21:14:38 time: 0.8838 data_time: 0.5542 memory: 17350 grad_norm: 6.2447 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3382 loss: 3.3382 2022/07/22 00:55:06 - mmengine - INFO - Epoch(train) [2][40/3757] lr: 1.0000e-02 eta: 2 days, 21:14:06 time: 0.6606 data_time: 0.3301 memory: 17350 grad_norm: 6.3780 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3499 loss: 3.3499 2022/07/22 00:55:21 - mmengine - INFO - Epoch(train) [2][60/3757] lr: 1.0000e-02 eta: 2 days, 21:16:13 time: 0.7424 data_time: 0.4137 memory: 17350 grad_norm: 6.3245 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1759 loss: 3.1759 2022/07/22 00:55:33 - mmengine - INFO - Epoch(train) [2][80/3757] lr: 1.0000e-02 eta: 2 days, 21:13:42 time: 0.5995 data_time: 0.2082 memory: 17350 grad_norm: 6.4141 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.5696 loss: 3.5696 2022/07/22 00:55:47 - mmengine - INFO - Epoch(train) [2][100/3757] lr: 1.0000e-02 eta: 2 days, 21:14:57 time: 0.7160 data_time: 0.0521 memory: 17350 grad_norm: 6.3362 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3189 loss: 3.3189 2022/07/22 00:55:59 - mmengine - INFO - Epoch(train) [2][120/3757] lr: 1.0000e-02 eta: 2 days, 21:11:56 time: 0.5831 data_time: 0.0209 memory: 17350 grad_norm: 6.3596 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2920 loss: 3.2920 2022/07/22 00:56:14 - mmengine - INFO - Epoch(train) [2][140/3757] lr: 1.0000e-02 eta: 2 days, 21:14:20 time: 0.7526 data_time: 0.0240 memory: 17350 grad_norm: 6.3297 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5040 loss: 3.5040 2022/07/22 00:56:27 - mmengine - INFO - Epoch(train) [2][160/3757] lr: 1.0000e-02 eta: 2 days, 21:14:37 time: 0.6860 data_time: 0.0221 memory: 17350 grad_norm: 6.4492 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3024 loss: 3.3024 2022/07/22 00:56:41 - mmengine - INFO - Epoch(train) [2][180/3757] lr: 1.0000e-02 eta: 2 days, 21:14:58 time: 0.6887 data_time: 0.0233 memory: 17350 grad_norm: 6.3612 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1982 loss: 3.1982 2022/07/22 00:56:54 - mmengine - INFO - Epoch(train) [2][200/3757] lr: 1.0000e-02 eta: 2 days, 21:13:19 time: 0.6255 data_time: 0.0218 memory: 17350 grad_norm: 6.1525 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2311 loss: 3.2311 2022/07/22 00:57:09 - mmengine - INFO - Epoch(train) [2][220/3757] lr: 1.0000e-02 eta: 2 days, 21:15:29 time: 0.7470 data_time: 0.0225 memory: 17350 grad_norm: 6.2423 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3965 loss: 3.3965 2022/07/22 00:57:20 - mmengine - INFO - Epoch(train) [2][240/3757] lr: 1.0000e-02 eta: 2 days, 21:11:56 time: 0.5631 data_time: 0.0230 memory: 17350 grad_norm: 6.2747 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3065 loss: 3.3065 2022/07/22 00:57:21 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 00:57:34 - mmengine - INFO - Epoch(train) [2][260/3757] lr: 1.0000e-02 eta: 2 days, 21:12:54 time: 0.7089 data_time: 0.0202 memory: 17350 grad_norm: 6.2968 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5979 loss: 3.5979 2022/07/22 00:57:45 - mmengine - INFO - Epoch(train) [2][280/3757] lr: 1.0000e-02 eta: 2 days, 21:09:37 time: 0.5705 data_time: 0.0233 memory: 17350 grad_norm: 6.2595 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1616 loss: 3.1616 2022/07/22 00:58:00 - mmengine - INFO - Epoch(train) [2][300/3757] lr: 1.0000e-02 eta: 2 days, 21:10:49 time: 0.7166 data_time: 0.0209 memory: 17350 grad_norm: 6.3018 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2706 loss: 3.2706 2022/07/22 00:58:12 - mmengine - INFO - Epoch(train) [2][320/3757] lr: 1.0000e-02 eta: 2 days, 21:09:34 time: 0.6363 data_time: 0.0226 memory: 17350 grad_norm: 6.1989 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1255 loss: 3.1255 2022/07/22 00:58:28 - mmengine - INFO - Epoch(train) [2][340/3757] lr: 1.0000e-02 eta: 2 days, 21:12:44 time: 0.7823 data_time: 0.0216 memory: 17350 grad_norm: 6.2696 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.4343 loss: 3.4343 2022/07/22 00:58:40 - mmengine - INFO - Epoch(train) [2][360/3757] lr: 1.0000e-02 eta: 2 days, 21:10:44 time: 0.6115 data_time: 0.0235 memory: 17350 grad_norm: 6.2723 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1621 loss: 3.1621 2022/07/22 00:58:55 - mmengine - INFO - Epoch(train) [2][380/3757] lr: 1.0000e-02 eta: 2 days, 21:12:21 time: 0.7314 data_time: 0.0217 memory: 17350 grad_norm: 6.2643 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2601 loss: 3.2601 2022/07/22 00:59:06 - mmengine - INFO - Epoch(train) [2][400/3757] lr: 1.0000e-02 eta: 2 days, 21:09:21 time: 0.5777 data_time: 0.0225 memory: 17350 grad_norm: 6.2557 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2602 loss: 3.2602 2022/07/22 00:59:20 - mmengine - INFO - Epoch(train) [2][420/3757] lr: 1.0000e-02 eta: 2 days, 21:09:49 time: 0.6933 data_time: 0.0215 memory: 17350 grad_norm: 6.2521 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.7211 loss: 3.7211 2022/07/22 00:59:33 - mmengine - INFO - Epoch(train) [2][440/3757] lr: 1.0000e-02 eta: 2 days, 21:08:35 time: 0.6356 data_time: 0.0237 memory: 17350 grad_norm: 6.0836 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2830 loss: 3.2830 2022/07/22 00:59:47 - mmengine - INFO - Epoch(train) [2][460/3757] lr: 1.0000e-02 eta: 2 days, 21:08:32 time: 0.6763 data_time: 0.0244 memory: 17350 grad_norm: 6.2229 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0911 loss: 3.0911 2022/07/22 00:59:59 - mmengine - INFO - Epoch(train) [2][480/3757] lr: 1.0000e-02 eta: 2 days, 21:06:45 time: 0.6168 data_time: 0.0221 memory: 17350 grad_norm: 6.2752 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2747 loss: 3.2747 2022/07/22 01:00:14 - mmengine - INFO - Epoch(train) [2][500/3757] lr: 1.0000e-02 eta: 2 days, 21:08:57 time: 0.7527 data_time: 0.0234 memory: 17350 grad_norm: 6.3041 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5437 loss: 3.5437 2022/07/22 01:00:25 - mmengine - INFO - Epoch(train) [2][520/3757] lr: 1.0000e-02 eta: 2 days, 21:05:58 time: 0.5750 data_time: 0.0242 memory: 17350 grad_norm: 6.3012 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2728 loss: 3.2728 2022/07/22 01:00:41 - mmengine - INFO - Epoch(train) [2][540/3757] lr: 1.0000e-02 eta: 2 days, 21:08:11 time: 0.7544 data_time: 0.0212 memory: 17350 grad_norm: 6.3327 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3668 loss: 3.3668 2022/07/22 01:00:52 - mmengine - INFO - Epoch(train) [2][560/3757] lr: 1.0000e-02 eta: 2 days, 21:04:59 time: 0.5662 data_time: 0.0226 memory: 17350 grad_norm: 6.3223 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.3014 loss: 3.3014 2022/07/22 01:01:06 - mmengine - INFO - Epoch(train) [2][580/3757] lr: 1.0000e-02 eta: 2 days, 21:06:05 time: 0.7165 data_time: 0.0235 memory: 17350 grad_norm: 6.2870 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2269 loss: 3.2269 2022/07/22 01:01:18 - mmengine - INFO - Epoch(train) [2][600/3757] lr: 1.0000e-02 eta: 2 days, 21:04:12 time: 0.6110 data_time: 0.0427 memory: 17350 grad_norm: 6.3021 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0954 loss: 3.0954 2022/07/22 01:01:33 - mmengine - INFO - Epoch(train) [2][620/3757] lr: 1.0000e-02 eta: 2 days, 21:05:14 time: 0.7143 data_time: 0.0400 memory: 17350 grad_norm: 6.3000 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1114 loss: 3.1114 2022/07/22 01:01:45 - mmengine - INFO - Epoch(train) [2][640/3757] lr: 1.0000e-02 eta: 2 days, 21:02:59 time: 0.5980 data_time: 0.1433 memory: 17350 grad_norm: 6.0804 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3179 loss: 3.3179 2022/07/22 01:01:59 - mmengine - INFO - Epoch(train) [2][660/3757] lr: 1.0000e-02 eta: 2 days, 21:04:32 time: 0.7323 data_time: 0.1222 memory: 17350 grad_norm: 6.2314 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2203 loss: 3.2203 2022/07/22 01:02:12 - mmengine - INFO - Epoch(train) [2][680/3757] lr: 1.0000e-02 eta: 2 days, 21:02:56 time: 0.6205 data_time: 0.1165 memory: 17350 grad_norm: 6.0047 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9433 loss: 2.9433 2022/07/22 01:02:26 - mmengine - INFO - Epoch(train) [2][700/3757] lr: 1.0000e-02 eta: 2 days, 21:03:52 time: 0.7116 data_time: 0.2381 memory: 17350 grad_norm: 6.3275 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2608 loss: 3.2608 2022/07/22 01:02:37 - mmengine - INFO - Epoch(train) [2][720/3757] lr: 1.0000e-02 eta: 2 days, 21:00:59 time: 0.5735 data_time: 0.1782 memory: 17350 grad_norm: 6.1650 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2730 loss: 3.2730 2022/07/22 01:02:52 - mmengine - INFO - Epoch(train) [2][740/3757] lr: 1.0000e-02 eta: 2 days, 21:02:40 time: 0.7383 data_time: 0.2726 memory: 17350 grad_norm: 6.2213 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9908 loss: 2.9908 2022/07/22 01:03:05 - mmengine - INFO - Epoch(train) [2][760/3757] lr: 1.0000e-02 eta: 2 days, 21:01:16 time: 0.6265 data_time: 0.1853 memory: 17350 grad_norm: 6.3734 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0779 loss: 3.0779 2022/07/22 01:03:20 - mmengine - INFO - Epoch(train) [2][780/3757] lr: 1.0000e-02 eta: 2 days, 21:03:43 time: 0.7674 data_time: 0.2008 memory: 17350 grad_norm: 6.0626 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2144 loss: 3.2144 2022/07/22 01:03:31 - mmengine - INFO - Epoch(train) [2][800/3757] lr: 1.0000e-02 eta: 2 days, 21:00:03 time: 0.5432 data_time: 0.1497 memory: 17350 grad_norm: 6.1354 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3694 loss: 3.3694 2022/07/22 01:03:46 - mmengine - INFO - Epoch(train) [2][820/3757] lr: 1.0000e-02 eta: 2 days, 21:01:48 time: 0.7422 data_time: 0.3151 memory: 17350 grad_norm: 6.0786 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2970 loss: 3.2970 2022/07/22 01:03:58 - mmengine - INFO - Epoch(train) [2][840/3757] lr: 1.0000e-02 eta: 2 days, 21:00:29 time: 0.6289 data_time: 0.1165 memory: 17350 grad_norm: 6.2542 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2252 loss: 3.2252 2022/07/22 01:04:14 - mmengine - INFO - Epoch(train) [2][860/3757] lr: 1.0000e-02 eta: 2 days, 21:02:42 time: 0.7604 data_time: 0.0355 memory: 17350 grad_norm: 6.0859 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7385 loss: 2.7385 2022/07/22 01:04:26 - mmengine - INFO - Epoch(train) [2][880/3757] lr: 1.0000e-02 eta: 2 days, 21:00:37 time: 0.6002 data_time: 0.0226 memory: 17350 grad_norm: 6.2309 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2172 loss: 3.2172 2022/07/22 01:04:41 - mmengine - INFO - Epoch(train) [2][900/3757] lr: 1.0000e-02 eta: 2 days, 21:02:40 time: 0.7553 data_time: 0.0203 memory: 17350 grad_norm: 6.2605 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1657 loss: 3.1657 2022/07/22 01:04:52 - mmengine - INFO - Epoch(train) [2][920/3757] lr: 1.0000e-02 eta: 2 days, 21:00:02 time: 0.5786 data_time: 0.0231 memory: 17350 grad_norm: 6.3360 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.4737 loss: 3.4737 2022/07/22 01:05:07 - mmengine - INFO - Epoch(train) [2][940/3757] lr: 1.0000e-02 eta: 2 days, 21:01:47 time: 0.7448 data_time: 0.0213 memory: 17350 grad_norm: 6.0934 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1889 loss: 3.1889 2022/07/22 01:05:20 - mmengine - INFO - Epoch(train) [2][960/3757] lr: 1.0000e-02 eta: 2 days, 21:00:35 time: 0.6325 data_time: 0.0214 memory: 17350 grad_norm: 6.1168 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1645 loss: 3.1645 2022/07/22 01:05:34 - mmengine - INFO - Epoch(train) [2][980/3757] lr: 1.0000e-02 eta: 2 days, 21:01:44 time: 0.7223 data_time: 0.0231 memory: 17350 grad_norm: 6.1232 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0715 loss: 3.0715 2022/07/22 01:05:46 - mmengine - INFO - Epoch(train) [2][1000/3757] lr: 1.0000e-02 eta: 2 days, 20:59:36 time: 0.5958 data_time: 0.0210 memory: 17350 grad_norm: 6.2820 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1205 loss: 3.1205 2022/07/22 01:06:01 - mmengine - INFO - Epoch(train) [2][1020/3757] lr: 1.0000e-02 eta: 2 days, 21:01:06 time: 0.7367 data_time: 0.0208 memory: 17350 grad_norm: 6.1548 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3301 loss: 3.3301 2022/07/22 01:06:12 - mmengine - INFO - Epoch(train) [2][1040/3757] lr: 1.0000e-02 eta: 2 days, 20:58:29 time: 0.5771 data_time: 0.0227 memory: 17350 grad_norm: 6.2349 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.6663 loss: 3.6663 2022/07/22 01:06:27 - mmengine - INFO - Epoch(train) [2][1060/3757] lr: 1.0000e-02 eta: 2 days, 20:59:16 time: 0.7087 data_time: 0.0213 memory: 17350 grad_norm: 6.3904 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1830 loss: 3.1830 2022/07/22 01:06:38 - mmengine - INFO - Epoch(train) [2][1080/3757] lr: 1.0000e-02 eta: 2 days, 20:56:19 time: 0.5628 data_time: 0.0226 memory: 17350 grad_norm: 6.1150 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1313 loss: 3.1313 2022/07/22 01:06:52 - mmengine - INFO - Epoch(train) [2][1100/3757] lr: 1.0000e-02 eta: 2 days, 20:57:05 time: 0.7081 data_time: 0.0213 memory: 17350 grad_norm: 6.2130 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1918 loss: 3.1918 2022/07/22 01:07:05 - mmengine - INFO - Epoch(train) [2][1120/3757] lr: 1.0000e-02 eta: 2 days, 20:55:42 time: 0.6233 data_time: 0.0225 memory: 17350 grad_norm: 6.2298 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1585 loss: 3.1585 2022/07/22 01:07:19 - mmengine - INFO - Epoch(train) [2][1140/3757] lr: 1.0000e-02 eta: 2 days, 20:56:33 time: 0.7117 data_time: 0.0212 memory: 17350 grad_norm: 6.1941 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9541 loss: 2.9541 2022/07/22 01:07:31 - mmengine - INFO - Epoch(train) [2][1160/3757] lr: 1.0000e-02 eta: 2 days, 20:55:25 time: 0.6333 data_time: 0.0235 memory: 17350 grad_norm: 6.2457 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3332 loss: 3.3332 2022/07/22 01:07:46 - mmengine - INFO - Epoch(train) [2][1180/3757] lr: 1.0000e-02 eta: 2 days, 20:56:35 time: 0.7247 data_time: 0.0228 memory: 17350 grad_norm: 6.4098 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0030 loss: 3.0030 2022/07/22 01:07:58 - mmengine - INFO - Epoch(train) [2][1200/3757] lr: 1.0000e-02 eta: 2 days, 20:54:53 time: 0.6099 data_time: 0.0221 memory: 17350 grad_norm: 6.3124 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0299 loss: 3.0299 2022/07/22 01:08:12 - mmengine - INFO - Epoch(train) [2][1220/3757] lr: 1.0000e-02 eta: 2 days, 20:55:24 time: 0.6987 data_time: 0.0209 memory: 17350 grad_norm: 6.3345 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0373 loss: 3.0373 2022/07/22 01:08:25 - mmengine - INFO - Epoch(train) [2][1240/3757] lr: 1.0000e-02 eta: 2 days, 20:55:04 time: 0.6650 data_time: 0.0234 memory: 17350 grad_norm: 6.2485 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0790 loss: 3.0790 2022/07/22 01:08:27 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 01:08:39 - mmengine - INFO - Epoch(train) [2][1260/3757] lr: 1.0000e-02 eta: 2 days, 20:54:33 time: 0.6573 data_time: 0.0212 memory: 17350 grad_norm: 6.1626 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1708 loss: 3.1708 2022/07/22 01:08:53 - mmengine - INFO - Epoch(train) [2][1280/3757] lr: 1.0000e-02 eta: 2 days, 20:55:31 time: 0.7181 data_time: 0.0214 memory: 17350 grad_norm: 6.3982 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4080 loss: 3.4080 2022/07/22 01:09:05 - mmengine - INFO - Epoch(train) [2][1300/3757] lr: 1.0000e-02 eta: 2 days, 20:54:15 time: 0.6269 data_time: 0.0217 memory: 17350 grad_norm: 6.3330 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4031 loss: 3.4031 2022/07/22 01:09:25 - mmengine - INFO - Epoch(train) [2][1320/3757] lr: 1.0000e-02 eta: 2 days, 21:02:07 time: 1.0015 data_time: 0.0220 memory: 17350 grad_norm: 6.0415 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0425 loss: 3.0425 2022/07/22 01:09:37 - mmengine - INFO - Epoch(train) [2][1340/3757] lr: 1.0000e-02 eta: 2 days, 20:59:56 time: 0.5896 data_time: 0.0425 memory: 17350 grad_norm: 6.1123 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2322 loss: 3.2322 2022/07/22 01:09:52 - mmengine - INFO - Epoch(train) [2][1360/3757] lr: 1.0000e-02 eta: 2 days, 21:01:01 time: 0.7246 data_time: 0.0212 memory: 17350 grad_norm: 6.2397 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2011 loss: 3.2011 2022/07/22 01:10:04 - mmengine - INFO - Epoch(train) [2][1380/3757] lr: 1.0000e-02 eta: 2 days, 20:58:54 time: 0.5913 data_time: 0.0212 memory: 17350 grad_norm: 6.1166 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1317 loss: 3.1317 2022/07/22 01:10:19 - mmengine - INFO - Epoch(train) [2][1400/3757] lr: 1.0000e-02 eta: 2 days, 21:01:17 time: 0.7793 data_time: 0.0224 memory: 17350 grad_norm: 5.9045 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3589 loss: 3.3589 2022/07/22 01:10:31 - mmengine - INFO - Epoch(train) [2][1420/3757] lr: 1.0000e-02 eta: 2 days, 20:59:05 time: 0.5874 data_time: 0.0232 memory: 17350 grad_norm: 6.0399 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6205 loss: 3.6205 2022/07/22 01:10:45 - mmengine - INFO - Epoch(train) [2][1440/3757] lr: 1.0000e-02 eta: 2 days, 20:59:51 time: 0.7117 data_time: 0.0240 memory: 17350 grad_norm: 6.1971 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2144 loss: 3.2144 2022/07/22 01:10:58 - mmengine - INFO - Epoch(train) [2][1460/3757] lr: 1.0000e-02 eta: 2 days, 20:58:35 time: 0.6268 data_time: 0.0251 memory: 17350 grad_norm: 6.2159 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9398 loss: 2.9398 2022/07/22 01:11:12 - mmengine - INFO - Epoch(train) [2][1480/3757] lr: 1.0000e-02 eta: 2 days, 20:59:16 time: 0.7088 data_time: 0.0232 memory: 17350 grad_norm: 6.0318 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3972 loss: 3.3972 2022/07/22 01:11:24 - mmengine - INFO - Epoch(train) [2][1500/3757] lr: 1.0000e-02 eta: 2 days, 20:57:58 time: 0.6243 data_time: 0.1169 memory: 17350 grad_norm: 6.1683 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1572 loss: 3.1572 2022/07/22 01:11:39 - mmengine - INFO - Epoch(train) [2][1520/3757] lr: 1.0000e-02 eta: 2 days, 20:58:51 time: 0.7179 data_time: 0.1698 memory: 17350 grad_norm: 6.2168 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1397 loss: 3.1397 2022/07/22 01:11:51 - mmengine - INFO - Epoch(train) [2][1540/3757] lr: 1.0000e-02 eta: 2 days, 20:57:09 time: 0.6066 data_time: 0.0406 memory: 17350 grad_norm: 6.0622 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1529 loss: 3.1529 2022/07/22 01:12:05 - mmengine - INFO - Epoch(train) [2][1560/3757] lr: 1.0000e-02 eta: 2 days, 20:57:29 time: 0.6945 data_time: 0.0334 memory: 17350 grad_norm: 6.1570 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.5220 loss: 3.5220 2022/07/22 01:12:18 - mmengine - INFO - Epoch(train) [2][1580/3757] lr: 1.0000e-02 eta: 2 days, 20:57:09 time: 0.6655 data_time: 0.0238 memory: 17350 grad_norm: 6.0688 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2813 loss: 3.2813 2022/07/22 01:12:32 - mmengine - INFO - Epoch(train) [2][1600/3757] lr: 1.0000e-02 eta: 2 days, 20:57:39 time: 0.7011 data_time: 0.0215 memory: 17350 grad_norm: 6.1519 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3190 loss: 3.3190 2022/07/22 01:12:44 - mmengine - INFO - Epoch(train) [2][1620/3757] lr: 1.0000e-02 eta: 2 days, 20:55:56 time: 0.6058 data_time: 0.0228 memory: 17350 grad_norm: 6.3047 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1430 loss: 3.1430 2022/07/22 01:12:59 - mmengine - INFO - Epoch(train) [2][1640/3757] lr: 1.0000e-02 eta: 2 days, 20:57:11 time: 0.7343 data_time: 0.0360 memory: 17350 grad_norm: 6.0764 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1080 loss: 3.1080 2022/07/22 01:13:11 - mmengine - INFO - Epoch(train) [2][1660/3757] lr: 1.0000e-02 eta: 2 days, 20:55:55 time: 0.6249 data_time: 0.0360 memory: 17350 grad_norm: 6.1799 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0100 loss: 3.0100 2022/07/22 01:13:25 - mmengine - INFO - Epoch(train) [2][1680/3757] lr: 1.0000e-02 eta: 2 days, 20:56:19 time: 0.6976 data_time: 0.0839 memory: 17350 grad_norm: 5.9002 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2106 loss: 3.2106 2022/07/22 01:13:38 - mmengine - INFO - Epoch(train) [2][1700/3757] lr: 1.0000e-02 eta: 2 days, 20:54:53 time: 0.6167 data_time: 0.0256 memory: 17350 grad_norm: 5.9785 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.3488 loss: 3.3488 2022/07/22 01:13:52 - mmengine - INFO - Epoch(train) [2][1720/3757] lr: 1.0000e-02 eta: 2 days, 20:56:13 time: 0.7390 data_time: 0.0705 memory: 17350 grad_norm: 6.0879 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2761 loss: 3.2761 2022/07/22 01:14:04 - mmengine - INFO - Epoch(train) [2][1740/3757] lr: 1.0000e-02 eta: 2 days, 20:54:13 time: 0.5911 data_time: 0.0484 memory: 17350 grad_norm: 6.0841 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1603 loss: 3.1603 2022/07/22 01:14:19 - mmengine - INFO - Epoch(train) [2][1760/3757] lr: 1.0000e-02 eta: 2 days, 20:55:33 time: 0.7400 data_time: 0.0258 memory: 17350 grad_norm: 6.2106 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.5525 loss: 3.5525 2022/07/22 01:14:32 - mmengine - INFO - Epoch(train) [2][1780/3757] lr: 1.0000e-02 eta: 2 days, 20:54:28 time: 0.6316 data_time: 0.0247 memory: 17350 grad_norm: 6.0013 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0089 loss: 3.0089 2022/07/22 01:14:47 - mmengine - INFO - Epoch(train) [2][1800/3757] lr: 1.0000e-02 eta: 2 days, 20:55:50 time: 0.7414 data_time: 0.0245 memory: 17350 grad_norm: 6.0664 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3241 loss: 3.3241 2022/07/22 01:14:59 - mmengine - INFO - Epoch(train) [2][1820/3757] lr: 1.0000e-02 eta: 2 days, 20:54:48 time: 0.6342 data_time: 0.0169 memory: 17350 grad_norm: 6.1941 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4403 loss: 3.4403 2022/07/22 01:15:14 - mmengine - INFO - Epoch(train) [2][1840/3757] lr: 1.0000e-02 eta: 2 days, 20:56:12 time: 0.7435 data_time: 0.0951 memory: 17350 grad_norm: 6.1370 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.4876 loss: 3.4876 2022/07/22 01:15:26 - mmengine - INFO - Epoch(train) [2][1860/3757] lr: 1.0000e-02 eta: 2 days, 20:54:01 time: 0.5812 data_time: 0.1618 memory: 17350 grad_norm: 6.1463 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0978 loss: 3.0978 2022/07/22 01:15:41 - mmengine - INFO - Epoch(train) [2][1880/3757] lr: 1.0000e-02 eta: 2 days, 20:55:28 time: 0.7472 data_time: 0.2009 memory: 17350 grad_norm: 6.1103 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1769 loss: 3.1769 2022/07/22 01:15:52 - mmengine - INFO - Epoch(train) [2][1900/3757] lr: 1.0000e-02 eta: 2 days, 20:53:23 time: 0.5852 data_time: 0.1084 memory: 17350 grad_norm: 6.1835 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1392 loss: 3.1392 2022/07/22 01:16:07 - mmengine - INFO - Epoch(train) [2][1920/3757] lr: 1.0000e-02 eta: 2 days, 20:54:23 time: 0.7266 data_time: 0.0424 memory: 17350 grad_norm: 6.4142 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2183 loss: 3.2183 2022/07/22 01:16:19 - mmengine - INFO - Epoch(train) [2][1940/3757] lr: 1.0000e-02 eta: 2 days, 20:52:43 time: 0.6035 data_time: 0.0221 memory: 17350 grad_norm: 6.2317 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3722 loss: 3.3722 2022/07/22 01:16:33 - mmengine - INFO - Epoch(train) [2][1960/3757] lr: 1.0000e-02 eta: 2 days, 20:53:28 time: 0.7151 data_time: 0.0236 memory: 17350 grad_norm: 6.0895 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0895 loss: 3.0895 2022/07/22 01:16:45 - mmengine - INFO - Epoch(train) [2][1980/3757] lr: 1.0000e-02 eta: 2 days, 20:51:49 time: 0.6041 data_time: 0.0212 memory: 17350 grad_norm: 6.1915 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0314 loss: 3.0314 2022/07/22 01:17:00 - mmengine - INFO - Epoch(train) [2][2000/3757] lr: 1.0000e-02 eta: 2 days, 20:52:29 time: 0.7116 data_time: 0.0220 memory: 17350 grad_norm: 6.1335 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.2364 loss: 3.2364 2022/07/22 01:17:12 - mmengine - INFO - Epoch(train) [2][2020/3757] lr: 1.0000e-02 eta: 2 days, 20:51:15 time: 0.6231 data_time: 0.0231 memory: 17350 grad_norm: 6.1663 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2116 loss: 3.2116 2022/07/22 01:17:26 - mmengine - INFO - Epoch(train) [2][2040/3757] lr: 1.0000e-02 eta: 2 days, 20:51:18 time: 0.6828 data_time: 0.0216 memory: 17350 grad_norm: 6.0830 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1835 loss: 3.1835 2022/07/22 01:17:39 - mmengine - INFO - Epoch(train) [2][2060/3757] lr: 1.0000e-02 eta: 2 days, 20:50:31 time: 0.6437 data_time: 0.0208 memory: 17350 grad_norm: 6.0938 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2936 loss: 3.2936 2022/07/22 01:17:53 - mmengine - INFO - Epoch(train) [2][2080/3757] lr: 1.0000e-02 eta: 2 days, 20:50:55 time: 0.6996 data_time: 0.0216 memory: 17350 grad_norm: 5.9426 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1238 loss: 3.1238 2022/07/22 01:18:06 - mmengine - INFO - Epoch(train) [2][2100/3757] lr: 1.0000e-02 eta: 2 days, 20:50:26 time: 0.6573 data_time: 0.0232 memory: 17350 grad_norm: 6.2716 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0809 loss: 3.0809 2022/07/22 01:18:20 - mmengine - INFO - Epoch(train) [2][2120/3757] lr: 1.0000e-02 eta: 2 days, 20:51:15 time: 0.7198 data_time: 0.0219 memory: 17350 grad_norm: 6.1308 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0343 loss: 3.0343 2022/07/22 01:18:33 - mmengine - INFO - Epoch(train) [2][2140/3757] lr: 1.0000e-02 eta: 2 days, 20:50:23 time: 0.6394 data_time: 0.0233 memory: 17350 grad_norm: 6.1552 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.4611 loss: 3.4611 2022/07/22 01:18:46 - mmengine - INFO - Epoch(train) [2][2160/3757] lr: 1.0000e-02 eta: 2 days, 20:49:58 time: 0.6610 data_time: 0.0219 memory: 17350 grad_norm: 6.1423 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2705 loss: 3.2705 2022/07/22 01:18:59 - mmengine - INFO - Epoch(train) [2][2180/3757] lr: 1.0000e-02 eta: 2 days, 20:49:01 time: 0.6349 data_time: 0.0225 memory: 17350 grad_norm: 6.0820 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2097 loss: 3.2097 2022/07/22 01:19:13 - mmengine - INFO - Epoch(train) [2][2200/3757] lr: 1.0000e-02 eta: 2 days, 20:49:48 time: 0.7186 data_time: 0.0231 memory: 17350 grad_norm: 6.1186 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0230 loss: 3.0230 2022/07/22 01:19:26 - mmengine - INFO - Epoch(train) [2][2220/3757] lr: 1.0000e-02 eta: 2 days, 20:48:30 time: 0.6187 data_time: 0.0213 memory: 17350 grad_norm: 6.1216 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1917 loss: 3.1917 2022/07/22 01:19:40 - mmengine - INFO - Epoch(train) [2][2240/3757] lr: 1.0000e-02 eta: 2 days, 20:49:00 time: 0.7046 data_time: 0.0231 memory: 17350 grad_norm: 5.9597 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1269 loss: 3.1269 2022/07/22 01:19:41 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 01:19:52 - mmengine - INFO - Epoch(train) [2][2260/3757] lr: 1.0000e-02 eta: 2 days, 20:47:56 time: 0.6288 data_time: 0.0230 memory: 17350 grad_norm: 6.1490 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8964 loss: 2.8964 2022/07/22 01:20:07 - mmengine - INFO - Epoch(train) [2][2280/3757] lr: 1.0000e-02 eta: 2 days, 20:48:51 time: 0.7263 data_time: 0.0224 memory: 17350 grad_norm: 5.9506 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1235 loss: 3.1235 2022/07/22 01:20:19 - mmengine - INFO - Epoch(train) [2][2300/3757] lr: 1.0000e-02 eta: 2 days, 20:47:48 time: 0.6298 data_time: 0.0214 memory: 17350 grad_norm: 6.0509 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0975 loss: 3.0975 2022/07/22 01:20:33 - mmengine - INFO - Epoch(train) [2][2320/3757] lr: 1.0000e-02 eta: 2 days, 20:48:15 time: 0.7032 data_time: 0.0234 memory: 17350 grad_norm: 6.1435 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0232 loss: 3.0232 2022/07/22 01:20:45 - mmengine - INFO - Epoch(train) [2][2340/3757] lr: 1.0000e-02 eta: 2 days, 20:46:20 time: 0.5863 data_time: 0.0243 memory: 17350 grad_norm: 5.9703 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4174 loss: 3.4174 2022/07/22 01:21:01 - mmengine - INFO - Epoch(train) [2][2360/3757] lr: 1.0000e-02 eta: 2 days, 20:48:12 time: 0.7734 data_time: 0.0242 memory: 17350 grad_norm: 5.9571 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2179 loss: 3.2179 2022/07/22 01:21:11 - mmengine - INFO - Epoch(train) [2][2380/3757] lr: 1.0000e-02 eta: 2 days, 20:45:18 time: 0.5365 data_time: 0.0242 memory: 17350 grad_norm: 5.9392 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2699 loss: 3.2699 2022/07/22 01:21:26 - mmengine - INFO - Epoch(train) [2][2400/3757] lr: 1.0000e-02 eta: 2 days, 20:46:10 time: 0.7245 data_time: 0.0230 memory: 17350 grad_norm: 6.0228 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.2472 loss: 3.2472 2022/07/22 01:21:38 - mmengine - INFO - Epoch(train) [2][2420/3757] lr: 1.0000e-02 eta: 2 days, 20:44:17 time: 0.5864 data_time: 0.0207 memory: 17350 grad_norm: 5.9755 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4668 loss: 3.4668 2022/07/22 01:21:52 - mmengine - INFO - Epoch(train) [2][2440/3757] lr: 1.0000e-02 eta: 2 days, 20:45:20 time: 0.7340 data_time: 0.0213 memory: 17350 grad_norm: 6.0649 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.1059 loss: 3.1059 2022/07/22 01:22:04 - mmengine - INFO - Epoch(train) [2][2460/3757] lr: 1.0000e-02 eta: 2 days, 20:43:41 time: 0.5979 data_time: 0.0243 memory: 17350 grad_norm: 6.0226 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.0746 loss: 3.0746 2022/07/22 01:22:19 - mmengine - INFO - Epoch(train) [2][2480/3757] lr: 1.0000e-02 eta: 2 days, 20:44:51 time: 0.7397 data_time: 0.0206 memory: 17350 grad_norm: 5.9757 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1259 loss: 3.1259 2022/07/22 01:22:32 - mmengine - INFO - Epoch(train) [2][2500/3757] lr: 1.0000e-02 eta: 2 days, 20:44:06 time: 0.6434 data_time: 0.0241 memory: 17350 grad_norm: 6.0272 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.1243 loss: 3.1243 2022/07/22 01:22:47 - mmengine - INFO - Epoch(train) [2][2520/3757] lr: 1.0000e-02 eta: 2 days, 20:45:27 time: 0.7497 data_time: 0.0228 memory: 17350 grad_norm: 6.0921 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.5297 loss: 3.5297 2022/07/22 01:22:58 - mmengine - INFO - Epoch(train) [2][2540/3757] lr: 1.0000e-02 eta: 2 days, 20:43:19 time: 0.5723 data_time: 0.0238 memory: 17350 grad_norm: 6.0465 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 3.2375 loss: 3.2375 2022/07/22 01:23:13 - mmengine - INFO - Epoch(train) [2][2560/3757] lr: 1.0000e-02 eta: 2 days, 20:44:32 time: 0.7435 data_time: 0.0235 memory: 17350 grad_norm: 5.9757 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7306 loss: 2.7306 2022/07/22 01:23:25 - mmengine - INFO - Epoch(train) [2][2580/3757] lr: 1.0000e-02 eta: 2 days, 20:42:31 time: 0.5784 data_time: 0.0226 memory: 17350 grad_norm: 6.1214 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9258 loss: 2.9258 2022/07/22 01:23:39 - mmengine - INFO - Epoch(train) [2][2600/3757] lr: 1.0000e-02 eta: 2 days, 20:43:19 time: 0.7223 data_time: 0.0216 memory: 17350 grad_norm: 5.9895 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0144 loss: 3.0144 2022/07/22 01:23:52 - mmengine - INFO - Epoch(train) [2][2620/3757] lr: 1.0000e-02 eta: 2 days, 20:42:06 time: 0.6182 data_time: 0.0226 memory: 17350 grad_norm: 6.0869 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.2465 loss: 3.2465 2022/07/22 01:24:07 - mmengine - INFO - Epoch(train) [2][2640/3757] lr: 1.0000e-02 eta: 2 days, 20:43:31 time: 0.7548 data_time: 0.0218 memory: 17350 grad_norm: 6.0319 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0766 loss: 3.0766 2022/07/22 01:24:18 - mmengine - INFO - Epoch(train) [2][2660/3757] lr: 1.0000e-02 eta: 2 days, 20:41:19 time: 0.5671 data_time: 0.0219 memory: 17350 grad_norm: 5.9093 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0520 loss: 3.0520 2022/07/22 01:24:32 - mmengine - INFO - Epoch(train) [2][2680/3757] lr: 1.0000e-02 eta: 2 days, 20:42:04 time: 0.7205 data_time: 0.0248 memory: 17350 grad_norm: 6.3041 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.2483 loss: 3.2483 2022/07/22 01:24:44 - mmengine - INFO - Epoch(train) [2][2700/3757] lr: 1.0000e-02 eta: 2 days, 20:39:48 time: 0.5623 data_time: 0.0236 memory: 17350 grad_norm: 5.9298 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 3.0081 loss: 3.0081 2022/07/22 01:24:59 - mmengine - INFO - Epoch(train) [2][2720/3757] lr: 1.0000e-02 eta: 2 days, 20:41:18 time: 0.7605 data_time: 0.0213 memory: 17350 grad_norm: 6.1107 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2236 loss: 3.2236 2022/07/22 01:25:12 - mmengine - INFO - Epoch(train) [2][2740/3757] lr: 1.0000e-02 eta: 2 days, 20:40:37 time: 0.6448 data_time: 0.0289 memory: 17350 grad_norm: 5.7751 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9504 loss: 2.9504 2022/07/22 01:25:26 - mmengine - INFO - Epoch(train) [2][2760/3757] lr: 1.0000e-02 eta: 2 days, 20:41:00 time: 0.7026 data_time: 0.0228 memory: 17350 grad_norm: 5.7987 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1354 loss: 3.1354 2022/07/22 01:25:38 - mmengine - INFO - Epoch(train) [2][2780/3757] lr: 1.0000e-02 eta: 2 days, 20:39:20 time: 0.5925 data_time: 0.0216 memory: 17350 grad_norm: 6.1830 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9115 loss: 2.9115 2022/07/22 01:25:52 - mmengine - INFO - Epoch(train) [2][2800/3757] lr: 1.0000e-02 eta: 2 days, 20:40:25 time: 0.7392 data_time: 0.0225 memory: 17350 grad_norm: 6.0888 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8911 loss: 2.8911 2022/07/22 01:26:04 - mmengine - INFO - Epoch(train) [2][2820/3757] lr: 1.0000e-02 eta: 2 days, 20:38:06 time: 0.5583 data_time: 0.0245 memory: 17350 grad_norm: 6.0478 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3477 loss: 3.3477 2022/07/22 01:26:18 - mmengine - INFO - Epoch(train) [2][2840/3757] lr: 1.0000e-02 eta: 2 days, 20:38:44 time: 0.7152 data_time: 0.0215 memory: 17350 grad_norm: 6.0710 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.0546 loss: 3.0546 2022/07/22 01:26:30 - mmengine - INFO - Epoch(train) [2][2860/3757] lr: 1.0000e-02 eta: 2 days, 20:37:29 time: 0.6139 data_time: 0.0223 memory: 17350 grad_norm: 6.0804 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9957 loss: 2.9957 2022/07/22 01:26:45 - mmengine - INFO - Epoch(train) [2][2880/3757] lr: 1.0000e-02 eta: 2 days, 20:38:17 time: 0.7246 data_time: 0.0213 memory: 17350 grad_norm: 6.0960 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0973 loss: 3.0973 2022/07/22 01:26:57 - mmengine - INFO - Epoch(train) [2][2900/3757] lr: 1.0000e-02 eta: 2 days, 20:37:11 time: 0.6226 data_time: 0.0228 memory: 17350 grad_norm: 6.0222 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1225 loss: 3.1225 2022/07/22 01:27:12 - mmengine - INFO - Epoch(train) [2][2920/3757] lr: 1.0000e-02 eta: 2 days, 20:38:02 time: 0.7277 data_time: 0.0221 memory: 17350 grad_norm: 5.9900 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8579 loss: 2.8579 2022/07/22 01:27:23 - mmengine - INFO - Epoch(train) [2][2940/3757] lr: 1.0000e-02 eta: 2 days, 20:36:06 time: 0.5756 data_time: 0.0224 memory: 17350 grad_norm: 5.8590 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 3.0226 loss: 3.0226 2022/07/22 01:27:37 - mmengine - INFO - Epoch(train) [2][2960/3757] lr: 1.0000e-02 eta: 2 days, 20:36:24 time: 0.6985 data_time: 0.0198 memory: 17350 grad_norm: 5.9606 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1844 loss: 3.1844 2022/07/22 01:27:50 - mmengine - INFO - Epoch(train) [2][2980/3757] lr: 1.0000e-02 eta: 2 days, 20:35:19 time: 0.6221 data_time: 0.0235 memory: 17350 grad_norm: 5.9971 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2221 loss: 3.2221 2022/07/22 01:28:03 - mmengine - INFO - Epoch(train) [2][3000/3757] lr: 1.0000e-02 eta: 2 days, 20:35:05 time: 0.6684 data_time: 0.0211 memory: 17350 grad_norm: 6.0554 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1213 loss: 3.1213 2022/07/22 01:28:17 - mmengine - INFO - Epoch(train) [2][3020/3757] lr: 1.0000e-02 eta: 2 days, 20:35:19 time: 0.6944 data_time: 0.0234 memory: 17350 grad_norm: 5.9848 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1781 loss: 3.1781 2022/07/22 01:28:29 - mmengine - INFO - Epoch(train) [2][3040/3757] lr: 1.0000e-02 eta: 2 days, 20:34:04 time: 0.6126 data_time: 0.0216 memory: 17350 grad_norm: 5.9931 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8785 loss: 2.8785 2022/07/22 01:28:43 - mmengine - INFO - Epoch(train) [2][3060/3757] lr: 1.0000e-02 eta: 2 days, 20:33:50 time: 0.6688 data_time: 0.0221 memory: 17350 grad_norm: 6.0951 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0525 loss: 3.0525 2022/07/22 01:28:57 - mmengine - INFO - Epoch(train) [2][3080/3757] lr: 1.0000e-02 eta: 2 days, 20:34:10 time: 0.7000 data_time: 0.0229 memory: 17350 grad_norm: 5.9020 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2099 loss: 3.2099 2022/07/22 01:29:10 - mmengine - INFO - Epoch(train) [2][3100/3757] lr: 1.0000e-02 eta: 2 days, 20:33:45 time: 0.6583 data_time: 0.0239 memory: 17350 grad_norm: 6.0591 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9764 loss: 2.9764 2022/07/22 01:29:28 - mmengine - INFO - Epoch(train) [2][3120/3757] lr: 1.0000e-02 eta: 2 days, 20:37:48 time: 0.9083 data_time: 0.0223 memory: 17350 grad_norm: 5.7688 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9700 loss: 2.9700 2022/07/22 01:29:40 - mmengine - INFO - Epoch(train) [2][3140/3757] lr: 1.0000e-02 eta: 2 days, 20:36:43 time: 0.6219 data_time: 0.0233 memory: 17350 grad_norm: 6.0244 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1967 loss: 3.1967 2022/07/22 01:29:55 - mmengine - INFO - Epoch(train) [2][3160/3757] lr: 1.0000e-02 eta: 2 days, 20:37:32 time: 0.7278 data_time: 0.0225 memory: 17350 grad_norm: 5.9200 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0092 loss: 3.0092 2022/07/22 01:30:08 - mmengine - INFO - Epoch(train) [2][3180/3757] lr: 1.0000e-02 eta: 2 days, 20:36:42 time: 0.6355 data_time: 0.0247 memory: 17350 grad_norm: 6.0609 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1287 loss: 3.1287 2022/07/22 01:30:23 - mmengine - INFO - Epoch(train) [2][3200/3757] lr: 1.0000e-02 eta: 2 days, 20:38:02 time: 0.7580 data_time: 0.0227 memory: 17350 grad_norm: 5.8974 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2755 loss: 3.2755 2022/07/22 01:30:34 - mmengine - INFO - Epoch(train) [2][3220/3757] lr: 1.0000e-02 eta: 2 days, 20:36:13 time: 0.5795 data_time: 0.0228 memory: 17350 grad_norm: 6.0177 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0050 loss: 3.0050 2022/07/22 01:30:49 - mmengine - INFO - Epoch(train) [2][3240/3757] lr: 1.0000e-02 eta: 2 days, 20:36:45 time: 0.7131 data_time: 0.0210 memory: 17350 grad_norm: 6.0776 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0549 loss: 3.0549 2022/07/22 01:30:50 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 01:31:01 - mmengine - INFO - Epoch(train) [2][3260/3757] lr: 1.0000e-02 eta: 2 days, 20:35:36 time: 0.6170 data_time: 0.0228 memory: 17350 grad_norm: 6.2365 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1600 loss: 3.1600 2022/07/22 01:31:16 - mmengine - INFO - Epoch(train) [2][3280/3757] lr: 1.0000e-02 eta: 2 days, 20:36:28 time: 0.7321 data_time: 0.0259 memory: 17350 grad_norm: 5.9518 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.2174 loss: 3.2174 2022/07/22 01:31:27 - mmengine - INFO - Epoch(train) [2][3300/3757] lr: 1.0000e-02 eta: 2 days, 20:34:57 time: 0.5959 data_time: 0.0215 memory: 17350 grad_norm: 5.8518 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0757 loss: 3.0757 2022/07/22 01:31:42 - mmengine - INFO - Epoch(train) [2][3320/3757] lr: 1.0000e-02 eta: 2 days, 20:35:49 time: 0.7328 data_time: 0.0221 memory: 17350 grad_norm: 5.9494 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1311 loss: 3.1311 2022/07/22 01:31:54 - mmengine - INFO - Epoch(train) [2][3340/3757] lr: 1.0000e-02 eta: 2 days, 20:34:14 time: 0.5910 data_time: 0.0221 memory: 17350 grad_norm: 5.9360 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0476 loss: 3.0476 2022/07/22 01:32:09 - mmengine - INFO - Epoch(train) [2][3360/3757] lr: 1.0000e-02 eta: 2 days, 20:35:05 time: 0.7320 data_time: 0.0231 memory: 17350 grad_norm: 6.0007 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2622 loss: 3.2622 2022/07/22 01:32:21 - mmengine - INFO - Epoch(train) [2][3380/3757] lr: 1.0000e-02 eta: 2 days, 20:34:19 time: 0.6384 data_time: 0.0250 memory: 17350 grad_norm: 5.8199 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0091 loss: 3.0091 2022/07/22 01:32:35 - mmengine - INFO - Epoch(train) [2][3400/3757] lr: 1.0000e-02 eta: 2 days, 20:34:22 time: 0.6851 data_time: 0.0176 memory: 17350 grad_norm: 6.0164 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.3071 loss: 3.3071 2022/07/22 01:32:48 - mmengine - INFO - Epoch(train) [2][3420/3757] lr: 1.0000e-02 eta: 2 days, 20:33:22 time: 0.6244 data_time: 0.0223 memory: 17350 grad_norm: 5.9883 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1272 loss: 3.1272 2022/07/22 01:33:01 - mmengine - INFO - Epoch(train) [2][3440/3757] lr: 1.0000e-02 eta: 2 days, 20:33:31 time: 0.6919 data_time: 0.0244 memory: 17350 grad_norm: 5.9015 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0661 loss: 3.0661 2022/07/22 01:33:14 - mmengine - INFO - Epoch(train) [2][3460/3757] lr: 1.0000e-02 eta: 2 days, 20:32:21 time: 0.6143 data_time: 0.0302 memory: 17350 grad_norm: 5.9584 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0155 loss: 3.0155 2022/07/22 01:33:28 - mmengine - INFO - Epoch(train) [2][3480/3757] lr: 1.0000e-02 eta: 2 days, 20:33:11 time: 0.7319 data_time: 0.0208 memory: 17350 grad_norm: 6.0042 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9588 loss: 2.9588 2022/07/22 01:33:41 - mmengine - INFO - Epoch(train) [2][3500/3757] lr: 1.0000e-02 eta: 2 days, 20:32:27 time: 0.6395 data_time: 0.0233 memory: 17350 grad_norm: 6.1180 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1450 loss: 3.1450 2022/07/22 01:33:55 - mmengine - INFO - Epoch(train) [2][3520/3757] lr: 1.0000e-02 eta: 2 days, 20:32:18 time: 0.6741 data_time: 0.0263 memory: 17350 grad_norm: 5.9208 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9933 loss: 2.9933 2022/07/22 01:34:08 - mmengine - INFO - Epoch(train) [2][3540/3757] lr: 1.0000e-02 eta: 2 days, 20:32:14 time: 0.6788 data_time: 0.0215 memory: 17350 grad_norm: 5.9639 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1087 loss: 3.1087 2022/07/22 01:34:20 - mmengine - INFO - Epoch(train) [2][3560/3757] lr: 1.0000e-02 eta: 2 days, 20:30:46 time: 0.5957 data_time: 0.0205 memory: 17350 grad_norm: 6.0522 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2745 loss: 3.2745 2022/07/22 01:34:35 - mmengine - INFO - Epoch(train) [2][3580/3757] lr: 1.0000e-02 eta: 2 days, 20:31:35 time: 0.7321 data_time: 0.0232 memory: 17350 grad_norm: 5.7399 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3500 loss: 3.3500 2022/07/22 01:34:47 - mmengine - INFO - Epoch(train) [2][3600/3757] lr: 1.0000e-02 eta: 2 days, 20:30:04 time: 0.5920 data_time: 0.0216 memory: 17350 grad_norm: 5.9063 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1838 loss: 3.1838 2022/07/22 01:35:01 - mmengine - INFO - Epoch(train) [2][3620/3757] lr: 1.0000e-02 eta: 2 days, 20:30:48 time: 0.7274 data_time: 0.0228 memory: 17350 grad_norm: 5.8802 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9511 loss: 2.9511 2022/07/22 01:35:13 - mmengine - INFO - Epoch(train) [2][3640/3757] lr: 1.0000e-02 eta: 2 days, 20:29:29 time: 0.6036 data_time: 0.0283 memory: 17350 grad_norm: 6.0227 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0436 loss: 3.0436 2022/07/22 01:35:28 - mmengine - INFO - Epoch(train) [2][3660/3757] lr: 1.0000e-02 eta: 2 days, 20:30:12 time: 0.7265 data_time: 0.0264 memory: 17350 grad_norm: 6.1317 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1271 loss: 3.1271 2022/07/22 01:35:40 - mmengine - INFO - Epoch(train) [2][3680/3757] lr: 1.0000e-02 eta: 2 days, 20:28:50 time: 0.6003 data_time: 0.0210 memory: 17350 grad_norm: 5.9213 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2829 loss: 3.2829 2022/07/22 01:35:54 - mmengine - INFO - Epoch(train) [2][3700/3757] lr: 1.0000e-02 eta: 2 days, 20:29:06 time: 0.6985 data_time: 0.0214 memory: 17350 grad_norm: 6.0491 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1692 loss: 3.1692 2022/07/22 01:36:08 - mmengine - INFO - Epoch(train) [2][3720/3757] lr: 1.0000e-02 eta: 2 days, 20:29:23 time: 0.7007 data_time: 0.0230 memory: 17350 grad_norm: 6.0359 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0382 loss: 3.0382 2022/07/22 01:36:21 - mmengine - INFO - Epoch(train) [2][3740/3757] lr: 1.0000e-02 eta: 2 days, 20:29:06 time: 0.6659 data_time: 0.0215 memory: 17350 grad_norm: 5.9574 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0740 loss: 3.0740 2022/07/22 01:36:28 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 01:36:28 - mmengine - INFO - Epoch(train) [2][3757/3757] lr: 1.0000e-02 eta: 2 days, 20:29:06 time: 0.5586 data_time: 0.0226 memory: 17350 grad_norm: 5.9453 top1_acc: 0.1429 top5_acc: 0.1429 loss_cls: 2.9858 loss: 2.9858 2022/07/22 01:36:46 - mmengine - INFO - Epoch(val) [2][20/310] eta: 0:04:09 time: 0.8594 data_time: 0.7435 memory: 3406 2022/07/22 01:36:57 - mmengine - INFO - Epoch(val) [2][40/310] eta: 0:02:29 time: 0.5551 data_time: 0.4432 memory: 3406 2022/07/22 01:37:13 - mmengine - INFO - Epoch(val) [2][60/310] eta: 0:03:18 time: 0.7928 data_time: 0.6796 memory: 3406 2022/07/22 01:37:23 - mmengine - INFO - Epoch(val) [2][80/310] eta: 0:02:01 time: 0.5295 data_time: 0.4177 memory: 3406 2022/07/22 01:37:39 - mmengine - INFO - Epoch(val) [2][100/310] eta: 0:02:45 time: 0.7865 data_time: 0.6726 memory: 3406 2022/07/22 01:37:50 - mmengine - INFO - Epoch(val) [2][120/310] eta: 0:01:44 time: 0.5499 data_time: 0.4378 memory: 3406 2022/07/22 01:38:05 - mmengine - INFO - Epoch(val) [2][140/310] eta: 0:02:11 time: 0.7744 data_time: 0.6589 memory: 3406 2022/07/22 01:38:16 - mmengine - INFO - Epoch(val) [2][160/310] eta: 0:01:20 time: 0.5358 data_time: 0.4232 memory: 3406 2022/07/22 01:38:32 - mmengine - INFO - Epoch(val) [2][180/310] eta: 0:01:41 time: 0.7770 data_time: 0.6628 memory: 3406 2022/07/22 01:38:42 - mmengine - INFO - Epoch(val) [2][200/310] eta: 0:00:59 time: 0.5371 data_time: 0.4241 memory: 3406 2022/07/22 01:38:58 - mmengine - INFO - Epoch(val) [2][220/310] eta: 0:01:08 time: 0.7620 data_time: 0.6500 memory: 3406 2022/07/22 01:39:08 - mmengine - INFO - Epoch(val) [2][240/310] eta: 0:00:37 time: 0.5300 data_time: 0.4174 memory: 3406 2022/07/22 01:39:23 - mmengine - INFO - Epoch(val) [2][260/310] eta: 0:00:37 time: 0.7514 data_time: 0.6380 memory: 3406 2022/07/22 01:39:35 - mmengine - INFO - Epoch(val) [2][280/310] eta: 0:00:16 time: 0.5627 data_time: 0.4500 memory: 3406 2022/07/22 01:39:50 - mmengine - INFO - Epoch(val) [2][300/310] eta: 0:00:07 time: 0.7672 data_time: 0.6537 memory: 3406 2022/07/22 01:39:55 - mmengine - INFO - Epoch(val) [2][310/310] acc/top1: 0.3788 acc/top5: 0.6593 acc/mean1: 0.3785 2022/07/22 01:39:55 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_2.pth is removed 2022/07/22 01:39:58 - mmengine - INFO - The best checkpoint with 0.3788 acc/top1 at 3 epoch is saved to best_acc/top1_epoch_3.pth. 2022/07/22 01:40:16 - mmengine - INFO - Epoch(train) [3][20/3757] lr: 1.0000e-02 eta: 2 days, 20:22:41 time: 0.8701 data_time: 0.5407 memory: 17350 grad_norm: 5.9502 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8615 loss: 2.8615 2022/07/22 01:40:28 - mmengine - INFO - Epoch(train) [3][40/3757] lr: 1.0000e-02 eta: 2 days, 20:21:21 time: 0.6000 data_time: 0.2729 memory: 17350 grad_norm: 6.0817 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0823 loss: 3.0823 2022/07/22 01:40:41 - mmengine - INFO - Epoch(train) [3][60/3757] lr: 1.0000e-02 eta: 2 days, 20:21:32 time: 0.6936 data_time: 0.3681 memory: 17350 grad_norm: 5.8585 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0582 loss: 3.0582 2022/07/22 01:40:54 - mmengine - INFO - Epoch(train) [3][80/3757] lr: 1.0000e-02 eta: 2 days, 20:20:16 time: 0.6042 data_time: 0.2743 memory: 17350 grad_norm: 5.7555 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0748 loss: 3.0748 2022/07/22 01:41:09 - mmengine - INFO - Epoch(train) [3][100/3757] lr: 1.0000e-02 eta: 2 days, 20:21:48 time: 0.7772 data_time: 0.4589 memory: 17350 grad_norm: 5.9364 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0573 loss: 3.0573 2022/07/22 01:41:20 - mmengine - INFO - Epoch(train) [3][120/3757] lr: 1.0000e-02 eta: 2 days, 20:20:00 time: 0.5706 data_time: 0.2400 memory: 17350 grad_norm: 5.7805 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9019 loss: 2.9019 2022/07/22 01:41:36 - mmengine - INFO - Epoch(train) [3][140/3757] lr: 1.0000e-02 eta: 2 days, 20:21:20 time: 0.7660 data_time: 0.4474 memory: 17350 grad_norm: 5.8695 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9847 loss: 2.9847 2022/07/22 01:41:47 - mmengine - INFO - Epoch(train) [3][160/3757] lr: 1.0000e-02 eta: 2 days, 20:19:45 time: 0.5831 data_time: 0.2637 memory: 17350 grad_norm: 5.9260 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8034 loss: 2.8034 2022/07/22 01:42:03 - mmengine - INFO - Epoch(train) [3][180/3757] lr: 1.0000e-02 eta: 2 days, 20:21:14 time: 0.7755 data_time: 0.4487 memory: 17350 grad_norm: 6.0867 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8944 loss: 2.8944 2022/07/22 01:42:16 - mmengine - INFO - Epoch(train) [3][200/3757] lr: 1.0000e-02 eta: 2 days, 20:20:51 time: 0.6586 data_time: 0.3318 memory: 17350 grad_norm: 5.9115 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3196 loss: 3.3196 2022/07/22 01:42:31 - mmengine - INFO - Epoch(train) [3][220/3757] lr: 1.0000e-02 eta: 2 days, 20:21:25 time: 0.7182 data_time: 0.3924 memory: 17350 grad_norm: 6.0878 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1970 loss: 3.1970 2022/07/22 01:42:42 - mmengine - INFO - Epoch(train) [3][240/3757] lr: 1.0000e-02 eta: 2 days, 20:19:57 time: 0.5904 data_time: 0.2644 memory: 17350 grad_norm: 5.9346 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0845 loss: 3.0845 2022/07/22 01:42:56 - mmengine - INFO - Epoch(train) [3][260/3757] lr: 1.0000e-02 eta: 2 days, 20:19:59 time: 0.6850 data_time: 0.2289 memory: 17350 grad_norm: 6.0395 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1460 loss: 3.1460 2022/07/22 01:43:08 - mmengine - INFO - Epoch(train) [3][280/3757] lr: 1.0000e-02 eta: 2 days, 20:18:57 time: 0.6164 data_time: 0.1157 memory: 17350 grad_norm: 6.0107 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5456 loss: 2.5456 2022/07/22 01:43:23 - mmengine - INFO - Epoch(train) [3][300/3757] lr: 1.0000e-02 eta: 2 days, 20:19:45 time: 0.7338 data_time: 0.2437 memory: 17350 grad_norm: 6.0312 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0377 loss: 3.0377 2022/07/22 01:43:35 - mmengine - INFO - Epoch(train) [3][320/3757] lr: 1.0000e-02 eta: 2 days, 20:18:22 time: 0.5946 data_time: 0.1512 memory: 17350 grad_norm: 5.9453 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8327 loss: 2.8327 2022/07/22 01:43:50 - mmengine - INFO - Epoch(train) [3][340/3757] lr: 1.0000e-02 eta: 2 days, 20:19:37 time: 0.7624 data_time: 0.3123 memory: 17350 grad_norm: 6.0119 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0136 loss: 3.0136 2022/07/22 01:44:02 - mmengine - INFO - Epoch(train) [3][360/3757] lr: 1.0000e-02 eta: 2 days, 20:18:05 time: 0.5854 data_time: 0.1742 memory: 17350 grad_norm: 5.8713 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0905 loss: 3.0905 2022/07/22 01:44:16 - mmengine - INFO - Epoch(train) [3][380/3757] lr: 1.0000e-02 eta: 2 days, 20:18:38 time: 0.7177 data_time: 0.2566 memory: 17350 grad_norm: 5.8941 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8280 loss: 2.8280 2022/07/22 01:44:28 - mmengine - INFO - Epoch(train) [3][400/3757] lr: 1.0000e-02 eta: 2 days, 20:17:24 time: 0.6033 data_time: 0.2134 memory: 17350 grad_norm: 5.8426 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8427 loss: 2.8427 2022/07/22 01:44:43 - mmengine - INFO - Epoch(train) [3][420/3757] lr: 1.0000e-02 eta: 2 days, 20:17:51 time: 0.7118 data_time: 0.3448 memory: 17350 grad_norm: 5.9703 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0251 loss: 3.0251 2022/07/22 01:44:55 - mmengine - INFO - Epoch(train) [3][440/3757] lr: 1.0000e-02 eta: 2 days, 20:17:03 time: 0.6314 data_time: 0.2495 memory: 17350 grad_norm: 5.8075 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9095 loss: 2.9095 2022/07/22 01:45:09 - mmengine - INFO - Epoch(train) [3][460/3757] lr: 1.0000e-02 eta: 2 days, 20:17:33 time: 0.7159 data_time: 0.2169 memory: 17350 grad_norm: 5.9354 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8241 loss: 2.8241 2022/07/22 01:45:22 - mmengine - INFO - Epoch(train) [3][480/3757] lr: 1.0000e-02 eta: 2 days, 20:17:02 time: 0.6488 data_time: 0.1862 memory: 17350 grad_norm: 5.9518 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6769 loss: 2.6769 2022/07/22 01:45:27 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 01:45:36 - mmengine - INFO - Epoch(train) [3][500/3757] lr: 1.0000e-02 eta: 2 days, 20:17:05 time: 0.6869 data_time: 0.3218 memory: 17350 grad_norm: 5.8862 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0678 loss: 3.0678 2022/07/22 01:45:49 - mmengine - INFO - Epoch(train) [3][520/3757] lr: 1.0000e-02 eta: 2 days, 20:16:19 time: 0.6329 data_time: 0.2807 memory: 17350 grad_norm: 5.9047 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9791 loss: 2.9791 2022/07/22 01:46:04 - mmengine - INFO - Epoch(train) [3][540/3757] lr: 1.0000e-02 eta: 2 days, 20:17:16 time: 0.7450 data_time: 0.4004 memory: 17350 grad_norm: 6.0152 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8345 loss: 2.8345 2022/07/22 01:46:16 - mmengine - INFO - Epoch(train) [3][560/3757] lr: 1.0000e-02 eta: 2 days, 20:15:56 time: 0.5958 data_time: 0.2620 memory: 17350 grad_norm: 5.9567 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6601 loss: 2.6601 2022/07/22 01:46:30 - mmengine - INFO - Epoch(train) [3][580/3757] lr: 1.0000e-02 eta: 2 days, 20:16:27 time: 0.7175 data_time: 0.3882 memory: 17350 grad_norm: 5.9404 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9998 loss: 2.9998 2022/07/22 01:46:41 - mmengine - INFO - Epoch(train) [3][600/3757] lr: 1.0000e-02 eta: 2 days, 20:14:48 time: 0.5736 data_time: 0.2395 memory: 17350 grad_norm: 5.8965 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9851 loss: 2.9851 2022/07/22 01:46:56 - mmengine - INFO - Epoch(train) [3][620/3757] lr: 1.0000e-02 eta: 2 days, 20:15:25 time: 0.7245 data_time: 0.3935 memory: 17350 grad_norm: 6.1366 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9728 loss: 2.9728 2022/07/22 01:47:08 - mmengine - INFO - Epoch(train) [3][640/3757] lr: 1.0000e-02 eta: 2 days, 20:14:09 time: 0.5985 data_time: 0.2684 memory: 17350 grad_norm: 6.0086 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8323 loss: 2.8323 2022/07/22 01:47:23 - mmengine - INFO - Epoch(train) [3][660/3757] lr: 1.0000e-02 eta: 2 days, 20:15:01 time: 0.7417 data_time: 0.4116 memory: 17350 grad_norm: 5.9963 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9259 loss: 2.9259 2022/07/22 01:47:35 - mmengine - INFO - Epoch(train) [3][680/3757] lr: 1.0000e-02 eta: 2 days, 20:14:17 time: 0.6347 data_time: 0.2883 memory: 17350 grad_norm: 6.0504 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9480 loss: 2.9480 2022/07/22 01:47:50 - mmengine - INFO - Epoch(train) [3][700/3757] lr: 1.0000e-02 eta: 2 days, 20:15:01 time: 0.7319 data_time: 0.4050 memory: 17350 grad_norm: 6.0796 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8252 loss: 2.8252 2022/07/22 01:48:01 - mmengine - INFO - Epoch(train) [3][720/3757] lr: 1.0000e-02 eta: 2 days, 20:13:15 time: 0.5649 data_time: 0.2319 memory: 17350 grad_norm: 5.8250 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6512 loss: 2.6512 2022/07/22 01:48:16 - mmengine - INFO - Epoch(train) [3][740/3757] lr: 1.0000e-02 eta: 2 days, 20:13:40 time: 0.7117 data_time: 0.3795 memory: 17350 grad_norm: 5.7690 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9665 loss: 2.9665 2022/07/22 01:48:28 - mmengine - INFO - Epoch(train) [3][760/3757] lr: 1.0000e-02 eta: 2 days, 20:12:31 time: 0.6057 data_time: 0.2779 memory: 17350 grad_norm: 6.0042 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1835 loss: 3.1835 2022/07/22 01:48:43 - mmengine - INFO - Epoch(train) [3][780/3757] lr: 1.0000e-02 eta: 2 days, 20:13:31 time: 0.7514 data_time: 0.4199 memory: 17350 grad_norm: 5.8120 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0582 loss: 3.0582 2022/07/22 01:48:54 - mmengine - INFO - Epoch(train) [3][800/3757] lr: 1.0000e-02 eta: 2 days, 20:11:50 time: 0.5691 data_time: 0.2366 memory: 17350 grad_norm: 6.0139 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9514 loss: 2.9514 2022/07/22 01:49:09 - mmengine - INFO - Epoch(train) [3][820/3757] lr: 1.0000e-02 eta: 2 days, 20:12:38 time: 0.7377 data_time: 0.4044 memory: 17350 grad_norm: 6.0143 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9783 loss: 2.9783 2022/07/22 01:49:20 - mmengine - INFO - Epoch(train) [3][840/3757] lr: 1.0000e-02 eta: 2 days, 20:10:55 time: 0.5662 data_time: 0.2357 memory: 17350 grad_norm: 5.8096 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6878 loss: 2.6878 2022/07/22 01:49:35 - mmengine - INFO - Epoch(train) [3][860/3757] lr: 1.0000e-02 eta: 2 days, 20:11:43 time: 0.7381 data_time: 0.4088 memory: 17350 grad_norm: 5.9202 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9633 loss: 2.9633 2022/07/22 01:49:47 - mmengine - INFO - Epoch(train) [3][880/3757] lr: 1.0000e-02 eta: 2 days, 20:10:34 time: 0.6049 data_time: 0.2746 memory: 17350 grad_norm: 5.8259 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1850 loss: 3.1850 2022/07/22 01:50:01 - mmengine - INFO - Epoch(train) [3][900/3757] lr: 1.0000e-02 eta: 2 days, 20:11:01 time: 0.7153 data_time: 0.3879 memory: 17350 grad_norm: 5.7837 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7546 loss: 2.7546 2022/07/22 01:50:15 - mmengine - INFO - Epoch(train) [3][920/3757] lr: 1.0000e-02 eta: 2 days, 20:10:37 time: 0.6553 data_time: 0.3267 memory: 17350 grad_norm: 5.7255 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7785 loss: 2.7785 2022/07/22 01:50:30 - mmengine - INFO - Epoch(train) [3][940/3757] lr: 1.0000e-02 eta: 2 days, 20:11:36 time: 0.7516 data_time: 0.4142 memory: 17350 grad_norm: 6.0214 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.9383 loss: 2.9383 2022/07/22 01:50:41 - mmengine - INFO - Epoch(train) [3][960/3757] lr: 1.0000e-02 eta: 2 days, 20:09:54 time: 0.5664 data_time: 0.2363 memory: 17350 grad_norm: 5.9730 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0060 loss: 3.0060 2022/07/22 01:50:55 - mmengine - INFO - Epoch(train) [3][980/3757] lr: 1.0000e-02 eta: 2 days, 20:10:11 time: 0.7031 data_time: 0.3676 memory: 17350 grad_norm: 5.9034 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6505 loss: 2.6505 2022/07/22 01:51:06 - mmengine - INFO - Epoch(train) [3][1000/3757] lr: 1.0000e-02 eta: 2 days, 20:08:37 time: 0.5753 data_time: 0.2306 memory: 17350 grad_norm: 5.9664 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8777 loss: 2.8777 2022/07/22 01:51:20 - mmengine - INFO - Epoch(train) [3][1020/3757] lr: 1.0000e-02 eta: 2 days, 20:08:34 time: 0.6797 data_time: 0.3068 memory: 17350 grad_norm: 5.8041 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0826 loss: 3.0826 2022/07/22 01:51:33 - mmengine - INFO - Epoch(train) [3][1040/3757] lr: 1.0000e-02 eta: 2 days, 20:07:54 time: 0.6373 data_time: 0.2567 memory: 17350 grad_norm: 5.9339 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9049 loss: 2.9049 2022/07/22 01:51:47 - mmengine - INFO - Epoch(train) [3][1060/3757] lr: 1.0000e-02 eta: 2 days, 20:08:05 time: 0.6967 data_time: 0.3402 memory: 17350 grad_norm: 6.1144 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6563 loss: 2.6563 2022/07/22 01:51:59 - mmengine - INFO - Epoch(train) [3][1080/3757] lr: 1.0000e-02 eta: 2 days, 20:07:14 time: 0.6236 data_time: 0.2083 memory: 17350 grad_norm: 5.9338 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0180 loss: 3.0180 2022/07/22 01:52:13 - mmengine - INFO - Epoch(train) [3][1100/3757] lr: 1.0000e-02 eta: 2 days, 20:07:39 time: 0.7139 data_time: 0.3568 memory: 17350 grad_norm: 5.9240 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1029 loss: 3.1029 2022/07/22 01:52:26 - mmengine - INFO - Epoch(train) [3][1120/3757] lr: 1.0000e-02 eta: 2 days, 20:07:08 time: 0.6472 data_time: 0.2334 memory: 17350 grad_norm: 5.6991 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8539 loss: 2.8539 2022/07/22 01:52:41 - mmengine - INFO - Epoch(train) [3][1140/3757] lr: 1.0000e-02 eta: 2 days, 20:07:33 time: 0.7135 data_time: 0.3869 memory: 17350 grad_norm: 5.8848 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8360 loss: 2.8360 2022/07/22 01:52:54 - mmengine - INFO - Epoch(train) [3][1160/3757] lr: 1.0000e-02 eta: 2 days, 20:07:18 time: 0.6657 data_time: 0.3321 memory: 17350 grad_norm: 6.0337 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9449 loss: 2.9449 2022/07/22 01:53:09 - mmengine - INFO - Epoch(train) [3][1180/3757] lr: 1.0000e-02 eta: 2 days, 20:07:57 time: 0.7303 data_time: 0.4075 memory: 17350 grad_norm: 5.9579 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5917 loss: 2.5917 2022/07/22 01:53:20 - mmengine - INFO - Epoch(train) [3][1200/3757] lr: 1.0000e-02 eta: 2 days, 20:06:33 time: 0.5841 data_time: 0.2565 memory: 17350 grad_norm: 5.9916 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9142 loss: 2.9142 2022/07/22 01:53:35 - mmengine - INFO - Epoch(train) [3][1220/3757] lr: 1.0000e-02 eta: 2 days, 20:07:34 time: 0.7568 data_time: 0.4302 memory: 17350 grad_norm: 5.7759 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6663 loss: 2.6663 2022/07/22 01:53:45 - mmengine - INFO - Epoch(train) [3][1240/3757] lr: 1.0000e-02 eta: 2 days, 20:04:43 time: 0.4800 data_time: 0.1562 memory: 17350 grad_norm: 5.8214 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.9412 loss: 2.9412 2022/07/22 01:53:59 - mmengine - INFO - Epoch(train) [3][1260/3757] lr: 1.0000e-02 eta: 2 days, 20:05:02 time: 0.7066 data_time: 0.3877 memory: 17350 grad_norm: 5.8423 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8330 loss: 2.8330 2022/07/22 01:54:12 - mmengine - INFO - Epoch(train) [3][1280/3757] lr: 1.0000e-02 eta: 2 days, 20:04:27 time: 0.6431 data_time: 0.3262 memory: 17350 grad_norm: 6.0146 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0141 loss: 3.0141 2022/07/22 01:54:27 - mmengine - INFO - Epoch(train) [3][1300/3757] lr: 1.0000e-02 eta: 2 days, 20:05:06 time: 0.7297 data_time: 0.3272 memory: 17350 grad_norm: 5.9227 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0397 loss: 3.0397 2022/07/22 01:54:39 - mmengine - INFO - Epoch(train) [3][1320/3757] lr: 1.0000e-02 eta: 2 days, 20:04:11 time: 0.6181 data_time: 0.1552 memory: 17350 grad_norm: 6.1075 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5952 loss: 2.5952 2022/07/22 01:54:52 - mmengine - INFO - Epoch(train) [3][1340/3757] lr: 1.0000e-02 eta: 2 days, 20:03:35 time: 0.6410 data_time: 0.0877 memory: 17350 grad_norm: 5.9457 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8115 loss: 2.8115 2022/07/22 01:55:07 - mmengine - INFO - Epoch(train) [3][1360/3757] lr: 1.0000e-02 eta: 2 days, 20:04:41 time: 0.7635 data_time: 0.1001 memory: 17350 grad_norm: 5.9519 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8098 loss: 2.8098 2022/07/22 01:55:20 - mmengine - INFO - Epoch(train) [3][1380/3757] lr: 1.0000e-02 eta: 2 days, 20:03:57 time: 0.6318 data_time: 0.1216 memory: 17350 grad_norm: 5.8315 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0891 loss: 3.0891 2022/07/22 01:55:34 - mmengine - INFO - Epoch(train) [3][1400/3757] lr: 1.0000e-02 eta: 2 days, 20:04:23 time: 0.7158 data_time: 0.0775 memory: 17350 grad_norm: 5.7293 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0106 loss: 3.0106 2022/07/22 01:55:48 - mmengine - INFO - Epoch(train) [3][1420/3757] lr: 1.0000e-02 eta: 2 days, 20:04:37 time: 0.7006 data_time: 0.1182 memory: 17350 grad_norm: 5.8602 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9105 loss: 2.9105 2022/07/22 01:56:01 - mmengine - INFO - Epoch(train) [3][1440/3757] lr: 1.0000e-02 eta: 2 days, 20:03:48 time: 0.6247 data_time: 0.0250 memory: 17350 grad_norm: 5.8215 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0801 loss: 3.0801 2022/07/22 01:56:16 - mmengine - INFO - Epoch(train) [3][1460/3757] lr: 1.0000e-02 eta: 2 days, 20:04:43 time: 0.7527 data_time: 0.0216 memory: 17350 grad_norm: 5.9872 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9985 loss: 2.9985 2022/07/22 01:56:27 - mmengine - INFO - Epoch(train) [3][1480/3757] lr: 1.0000e-02 eta: 2 days, 20:03:20 time: 0.5819 data_time: 0.0224 memory: 17350 grad_norm: 5.9022 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0097 loss: 3.0097 2022/07/22 01:56:32 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 01:56:41 - mmengine - INFO - Epoch(train) [3][1500/3757] lr: 1.0000e-02 eta: 2 days, 20:03:24 time: 0.6903 data_time: 0.0209 memory: 17350 grad_norm: 5.9281 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1063 loss: 3.1063 2022/07/22 01:56:53 - mmengine - INFO - Epoch(train) [3][1520/3757] lr: 1.0000e-02 eta: 2 days, 20:02:08 time: 0.5910 data_time: 0.0211 memory: 17350 grad_norm: 5.8132 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7288 loss: 2.7288 2022/07/22 01:57:07 - mmengine - INFO - Epoch(train) [3][1540/3757] lr: 1.0000e-02 eta: 2 days, 20:02:30 time: 0.7111 data_time: 0.0211 memory: 17350 grad_norm: 5.7105 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9846 loss: 2.9846 2022/07/22 01:57:20 - mmengine - INFO - Epoch(train) [3][1560/3757] lr: 1.0000e-02 eta: 2 days, 20:02:01 time: 0.6486 data_time: 0.0246 memory: 17350 grad_norm: 5.8829 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0243 loss: 3.0243 2022/07/22 01:57:34 - mmengine - INFO - Epoch(train) [3][1580/3757] lr: 1.0000e-02 eta: 2 days, 20:02:16 time: 0.7032 data_time: 0.0285 memory: 17350 grad_norm: 5.8318 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8943 loss: 2.8943 2022/07/22 01:57:47 - mmengine - INFO - Epoch(train) [3][1600/3757] lr: 1.0000e-02 eta: 2 days, 20:01:29 time: 0.6263 data_time: 0.0230 memory: 17350 grad_norm: 5.7545 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9339 loss: 2.9339 2022/07/22 01:58:00 - mmengine - INFO - Epoch(train) [3][1620/3757] lr: 1.0000e-02 eta: 2 days, 20:01:21 time: 0.6753 data_time: 0.0225 memory: 17350 grad_norm: 5.8185 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.8975 loss: 2.8975 2022/07/22 01:58:12 - mmengine - INFO - Epoch(train) [3][1640/3757] lr: 1.0000e-02 eta: 2 days, 20:00:25 time: 0.6145 data_time: 0.0353 memory: 17350 grad_norm: 5.7531 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6349 loss: 2.6349 2022/07/22 01:58:26 - mmengine - INFO - Epoch(train) [3][1660/3757] lr: 1.0000e-02 eta: 2 days, 20:00:32 time: 0.6932 data_time: 0.1198 memory: 17350 grad_norm: 5.9338 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9954 loss: 2.9954 2022/07/22 01:58:39 - mmengine - INFO - Epoch(train) [3][1680/3757] lr: 1.0000e-02 eta: 2 days, 19:59:43 time: 0.6233 data_time: 0.0875 memory: 17350 grad_norm: 6.0258 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9575 loss: 2.9575 2022/07/22 01:58:53 - mmengine - INFO - Epoch(train) [3][1700/3757] lr: 1.0000e-02 eta: 2 days, 20:00:21 time: 0.7326 data_time: 0.0604 memory: 17350 grad_norm: 5.9816 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9850 loss: 2.9850 2022/07/22 01:59:06 - mmengine - INFO - Epoch(train) [3][1720/3757] lr: 1.0000e-02 eta: 2 days, 19:59:44 time: 0.6378 data_time: 0.0304 memory: 17350 grad_norm: 5.8535 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0239 loss: 3.0239 2022/07/22 01:59:20 - mmengine - INFO - Epoch(train) [3][1740/3757] lr: 1.0000e-02 eta: 2 days, 19:59:34 time: 0.6722 data_time: 0.0270 memory: 17350 grad_norm: 5.8000 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9701 loss: 2.9701 2022/07/22 01:59:33 - mmengine - INFO - Epoch(train) [3][1760/3757] lr: 1.0000e-02 eta: 2 days, 19:59:04 time: 0.6475 data_time: 0.0609 memory: 17350 grad_norm: 5.9751 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9306 loss: 2.9306 2022/07/22 01:59:47 - mmengine - INFO - Epoch(train) [3][1780/3757] lr: 1.0000e-02 eta: 2 days, 19:59:36 time: 0.7251 data_time: 0.0936 memory: 17350 grad_norm: 5.8180 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7923 loss: 2.7923 2022/07/22 01:59:59 - mmengine - INFO - Epoch(train) [3][1800/3757] lr: 1.0000e-02 eta: 2 days, 19:58:42 time: 0.6169 data_time: 0.1384 memory: 17350 grad_norm: 5.7707 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6890 loss: 2.6890 2022/07/22 02:00:16 - mmengine - INFO - Epoch(train) [3][1820/3757] lr: 1.0000e-02 eta: 2 days, 20:00:24 time: 0.8146 data_time: 0.1337 memory: 17350 grad_norm: 5.8207 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8086 loss: 2.8086 2022/07/22 02:00:28 - mmengine - INFO - Epoch(train) [3][1840/3757] lr: 1.0000e-02 eta: 2 days, 19:59:29 time: 0.6151 data_time: 0.0921 memory: 17350 grad_norm: 5.8851 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9936 loss: 2.9936 2022/07/22 02:00:43 - mmengine - INFO - Epoch(train) [3][1860/3757] lr: 1.0000e-02 eta: 2 days, 20:00:18 time: 0.7478 data_time: 0.2023 memory: 17350 grad_norm: 5.8628 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9808 loss: 2.9808 2022/07/22 02:00:55 - mmengine - INFO - Epoch(train) [3][1880/3757] lr: 1.0000e-02 eta: 2 days, 19:58:59 time: 0.5845 data_time: 0.1331 memory: 17350 grad_norm: 5.6702 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9530 loss: 2.9530 2022/07/22 02:01:09 - mmengine - INFO - Epoch(train) [3][1900/3757] lr: 1.0000e-02 eta: 2 days, 19:59:39 time: 0.7359 data_time: 0.1685 memory: 17350 grad_norm: 5.8556 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5695 loss: 2.5695 2022/07/22 02:01:21 - mmengine - INFO - Epoch(train) [3][1920/3757] lr: 1.0000e-02 eta: 2 days, 19:58:07 time: 0.5673 data_time: 0.1767 memory: 17350 grad_norm: 5.8244 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8455 loss: 2.8455 2022/07/22 02:01:35 - mmengine - INFO - Epoch(train) [3][1940/3757] lr: 1.0000e-02 eta: 2 days, 19:58:14 time: 0.6945 data_time: 0.0815 memory: 17350 grad_norm: 5.9652 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1721 loss: 3.1721 2022/07/22 02:01:47 - mmengine - INFO - Epoch(train) [3][1960/3757] lr: 1.0000e-02 eta: 2 days, 19:57:40 time: 0.6419 data_time: 0.0203 memory: 17350 grad_norm: 5.9526 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7732 loss: 2.7732 2022/07/22 02:02:02 - mmengine - INFO - Epoch(train) [3][1980/3757] lr: 1.0000e-02 eta: 2 days, 19:57:56 time: 0.7054 data_time: 0.0225 memory: 17350 grad_norm: 6.0905 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0332 loss: 3.0332 2022/07/22 02:02:15 - mmengine - INFO - Epoch(train) [3][2000/3757] lr: 1.0000e-02 eta: 2 days, 19:57:33 time: 0.6562 data_time: 0.0316 memory: 17350 grad_norm: 5.8288 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8840 loss: 2.8840 2022/07/22 02:02:30 - mmengine - INFO - Epoch(train) [3][2020/3757] lr: 1.0000e-02 eta: 2 days, 19:58:14 time: 0.7393 data_time: 0.0236 memory: 17350 grad_norm: 5.9267 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8071 loss: 2.8071 2022/07/22 02:02:42 - mmengine - INFO - Epoch(train) [3][2040/3757] lr: 1.0000e-02 eta: 2 days, 19:57:12 time: 0.6047 data_time: 0.0218 memory: 17350 grad_norm: 5.8123 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8331 loss: 2.8331 2022/07/22 02:02:57 - mmengine - INFO - Epoch(train) [3][2060/3757] lr: 1.0000e-02 eta: 2 days, 19:57:58 time: 0.7458 data_time: 0.0249 memory: 17350 grad_norm: 5.9605 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9886 loss: 2.9886 2022/07/22 02:03:08 - mmengine - INFO - Epoch(train) [3][2080/3757] lr: 1.0000e-02 eta: 2 days, 19:56:46 time: 0.5911 data_time: 0.0213 memory: 17350 grad_norm: 5.8870 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9587 loss: 2.9587 2022/07/22 02:03:23 - mmengine - INFO - Epoch(train) [3][2100/3757] lr: 1.0000e-02 eta: 2 days, 19:57:17 time: 0.7263 data_time: 0.0215 memory: 17350 grad_norm: 5.8709 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8959 loss: 2.8959 2022/07/22 02:03:35 - mmengine - INFO - Epoch(train) [3][2120/3757] lr: 1.0000e-02 eta: 2 days, 19:55:59 time: 0.5830 data_time: 0.0229 memory: 17350 grad_norm: 5.8206 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0851 loss: 3.0851 2022/07/22 02:03:49 - mmengine - INFO - Epoch(train) [3][2140/3757] lr: 1.0000e-02 eta: 2 days, 19:56:21 time: 0.7147 data_time: 0.0213 memory: 17350 grad_norm: 5.7819 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0388 loss: 3.0388 2022/07/22 02:04:01 - mmengine - INFO - Epoch(train) [3][2160/3757] lr: 1.0000e-02 eta: 2 days, 19:55:22 time: 0.6086 data_time: 0.0218 memory: 17350 grad_norm: 5.8563 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1209 loss: 3.1209 2022/07/22 02:04:16 - mmengine - INFO - Epoch(train) [3][2180/3757] lr: 1.0000e-02 eta: 2 days, 19:55:54 time: 0.7276 data_time: 0.0257 memory: 17350 grad_norm: 5.7759 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6743 loss: 2.6743 2022/07/22 02:04:28 - mmengine - INFO - Epoch(train) [3][2200/3757] lr: 1.0000e-02 eta: 2 days, 19:55:03 time: 0.6187 data_time: 0.0221 memory: 17350 grad_norm: 5.9882 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 3.1858 loss: 3.1858 2022/07/22 02:04:42 - mmengine - INFO - Epoch(train) [3][2220/3757] lr: 1.0000e-02 eta: 2 days, 19:55:19 time: 0.7071 data_time: 0.0186 memory: 17350 grad_norm: 6.0208 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1175 loss: 3.1175 2022/07/22 02:04:54 - mmengine - INFO - Epoch(train) [3][2240/3757] lr: 1.0000e-02 eta: 2 days, 19:54:11 time: 0.5949 data_time: 0.0234 memory: 17350 grad_norm: 5.6551 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7586 loss: 2.7586 2022/07/22 02:05:08 - mmengine - INFO - Epoch(train) [3][2260/3757] lr: 1.0000e-02 eta: 2 days, 19:54:39 time: 0.7237 data_time: 0.0227 memory: 17350 grad_norm: 5.8858 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8021 loss: 2.8021 2022/07/22 02:05:21 - mmengine - INFO - Epoch(train) [3][2280/3757] lr: 1.0000e-02 eta: 2 days, 19:54:09 time: 0.6451 data_time: 0.0246 memory: 17350 grad_norm: 5.9906 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0816 loss: 3.0816 2022/07/22 02:05:36 - mmengine - INFO - Epoch(train) [3][2300/3757] lr: 1.0000e-02 eta: 2 days, 19:54:53 time: 0.7455 data_time: 0.0237 memory: 17350 grad_norm: 6.0035 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7759 loss: 2.7759 2022/07/22 02:05:48 - mmengine - INFO - Epoch(train) [3][2320/3757] lr: 1.0000e-02 eta: 2 days, 19:53:56 time: 0.6089 data_time: 0.0215 memory: 17350 grad_norm: 6.0253 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8987 loss: 2.8987 2022/07/22 02:06:03 - mmengine - INFO - Epoch(train) [3][2340/3757] lr: 1.0000e-02 eta: 2 days, 19:54:13 time: 0.7094 data_time: 0.0210 memory: 17350 grad_norm: 5.8180 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7696 loss: 2.7696 2022/07/22 02:06:15 - mmengine - INFO - Epoch(train) [3][2360/3757] lr: 1.0000e-02 eta: 2 days, 19:53:16 time: 0.6101 data_time: 0.0219 memory: 17350 grad_norm: 5.9105 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9876 loss: 2.9876 2022/07/22 02:06:29 - mmengine - INFO - Epoch(train) [3][2380/3757] lr: 1.0000e-02 eta: 2 days, 19:53:45 time: 0.7244 data_time: 0.0225 memory: 17350 grad_norm: 6.0221 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8389 loss: 2.8389 2022/07/22 02:06:41 - mmengine - INFO - Epoch(train) [3][2400/3757] lr: 1.0000e-02 eta: 2 days, 19:52:41 time: 0.6003 data_time: 0.0296 memory: 17350 grad_norm: 5.7562 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0625 loss: 3.0625 2022/07/22 02:06:56 - mmengine - INFO - Epoch(train) [3][2420/3757] lr: 1.0000e-02 eta: 2 days, 19:53:05 time: 0.7178 data_time: 0.0237 memory: 17350 grad_norm: 5.7762 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7323 loss: 2.7323 2022/07/22 02:07:07 - mmengine - INFO - Epoch(train) [3][2440/3757] lr: 1.0000e-02 eta: 2 days, 19:51:43 time: 0.5753 data_time: 0.0225 memory: 17350 grad_norm: 5.9975 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7532 loss: 2.7532 2022/07/22 02:07:21 - mmengine - INFO - Epoch(train) [3][2460/3757] lr: 1.0000e-02 eta: 2 days, 19:52:03 time: 0.7137 data_time: 0.0215 memory: 17350 grad_norm: 5.8155 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6764 loss: 2.6764 2022/07/22 02:07:34 - mmengine - INFO - Epoch(train) [3][2480/3757] lr: 1.0000e-02 eta: 2 days, 19:51:16 time: 0.6220 data_time: 0.0240 memory: 17350 grad_norm: 5.8456 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7224 loss: 2.7224 2022/07/22 02:07:38 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 02:07:48 - mmengine - INFO - Epoch(train) [3][2500/3757] lr: 1.0000e-02 eta: 2 days, 19:51:28 time: 0.7023 data_time: 0.0220 memory: 17350 grad_norm: 5.6451 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8109 loss: 2.8109 2022/07/22 02:08:01 - mmengine - INFO - Epoch(train) [3][2520/3757] lr: 1.0000e-02 eta: 2 days, 19:50:49 time: 0.6330 data_time: 0.0228 memory: 17350 grad_norm: 5.8744 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7008 loss: 2.7008 2022/07/22 02:08:15 - mmengine - INFO - Epoch(train) [3][2540/3757] lr: 1.0000e-02 eta: 2 days, 19:51:02 time: 0.7049 data_time: 0.0223 memory: 17350 grad_norm: 5.8256 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8681 loss: 2.8681 2022/07/22 02:08:28 - mmengine - INFO - Epoch(train) [3][2560/3757] lr: 1.0000e-02 eta: 2 days, 19:50:32 time: 0.6438 data_time: 0.0211 memory: 17350 grad_norm: 5.8879 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6809 loss: 2.6809 2022/07/22 02:08:41 - mmengine - INFO - Epoch(train) [3][2580/3757] lr: 1.0000e-02 eta: 2 days, 19:50:35 time: 0.6916 data_time: 0.0226 memory: 17350 grad_norm: 5.7601 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7863 loss: 2.7863 2022/07/22 02:08:55 - mmengine - INFO - Epoch(train) [3][2600/3757] lr: 1.0000e-02 eta: 2 days, 19:50:18 time: 0.6619 data_time: 0.0256 memory: 17350 grad_norm: 5.6449 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6777 loss: 2.6777 2022/07/22 02:09:08 - mmengine - INFO - Epoch(train) [3][2620/3757] lr: 1.0000e-02 eta: 2 days, 19:50:07 time: 0.6713 data_time: 0.0188 memory: 17350 grad_norm: 5.7557 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8687 loss: 2.8687 2022/07/22 02:09:20 - mmengine - INFO - Epoch(train) [3][2640/3757] lr: 1.0000e-02 eta: 2 days, 19:49:14 time: 0.6143 data_time: 0.0221 memory: 17350 grad_norm: 5.9083 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9434 loss: 2.9434 2022/07/22 02:09:35 - mmengine - INFO - Epoch(train) [3][2660/3757] lr: 1.0000e-02 eta: 2 days, 19:50:02 time: 0.7534 data_time: 0.0209 memory: 17350 grad_norm: 5.7400 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0827 loss: 3.0827 2022/07/22 02:09:47 - mmengine - INFO - Epoch(train) [3][2680/3757] lr: 1.0000e-02 eta: 2 days, 19:48:45 time: 0.5791 data_time: 0.0380 memory: 17350 grad_norm: 5.7176 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2011 loss: 3.2011 2022/07/22 02:10:01 - mmengine - INFO - Epoch(train) [3][2700/3757] lr: 1.0000e-02 eta: 2 days, 19:48:44 time: 0.6843 data_time: 0.0579 memory: 17350 grad_norm: 5.7071 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9292 loss: 2.9292 2022/07/22 02:10:14 - mmengine - INFO - Epoch(train) [3][2720/3757] lr: 1.0000e-02 eta: 2 days, 19:48:40 time: 0.6809 data_time: 0.0224 memory: 17350 grad_norm: 5.8551 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7811 loss: 2.7811 2022/07/22 02:10:27 - mmengine - INFO - Epoch(train) [3][2740/3757] lr: 1.0000e-02 eta: 2 days, 19:48:07 time: 0.6408 data_time: 0.0262 memory: 17350 grad_norm: 5.6304 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9299 loss: 2.9299 2022/07/22 02:10:41 - mmengine - INFO - Epoch(train) [3][2760/3757] lr: 1.0000e-02 eta: 2 days, 19:48:16 time: 0.6996 data_time: 0.0231 memory: 17350 grad_norm: 5.7751 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0822 loss: 3.0822 2022/07/22 02:10:55 - mmengine - INFO - Epoch(train) [3][2780/3757] lr: 1.0000e-02 eta: 2 days, 19:48:07 time: 0.6738 data_time: 0.0452 memory: 17350 grad_norm: 5.6660 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6670 loss: 2.6670 2022/07/22 02:11:07 - mmengine - INFO - Epoch(train) [3][2800/3757] lr: 1.0000e-02 eta: 2 days, 19:47:08 time: 0.6033 data_time: 0.0407 memory: 17350 grad_norm: 5.8051 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7857 loss: 2.7857 2022/07/22 02:11:21 - mmengine - INFO - Epoch(train) [3][2820/3757] lr: 1.0000e-02 eta: 2 days, 19:47:45 time: 0.7397 data_time: 0.1025 memory: 17350 grad_norm: 5.9610 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8474 loss: 2.8474 2022/07/22 02:11:33 - mmengine - INFO - Epoch(train) [3][2840/3757] lr: 1.0000e-02 eta: 2 days, 19:46:35 time: 0.5879 data_time: 0.1359 memory: 17350 grad_norm: 5.8496 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8810 loss: 2.8810 2022/07/22 02:11:47 - mmengine - INFO - Epoch(train) [3][2860/3757] lr: 1.0000e-02 eta: 2 days, 19:46:28 time: 0.6775 data_time: 0.1718 memory: 17350 grad_norm: 5.8364 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7743 loss: 2.7743 2022/07/22 02:12:00 - mmengine - INFO - Epoch(train) [3][2880/3757] lr: 1.0000e-02 eta: 2 days, 19:46:28 time: 0.6863 data_time: 0.0650 memory: 17350 grad_norm: 5.8955 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8004 loss: 2.8004 2022/07/22 02:12:14 - mmengine - INFO - Epoch(train) [3][2900/3757] lr: 1.0000e-02 eta: 2 days, 19:46:11 time: 0.6623 data_time: 0.0893 memory: 17350 grad_norm: 5.7563 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9407 loss: 2.9407 2022/07/22 02:12:28 - mmengine - INFO - Epoch(train) [3][2920/3757] lr: 1.0000e-02 eta: 2 days, 19:46:38 time: 0.7259 data_time: 0.0332 memory: 17350 grad_norm: 5.7215 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0236 loss: 3.0236 2022/07/22 02:12:40 - mmengine - INFO - Epoch(train) [3][2940/3757] lr: 1.0000e-02 eta: 2 days, 19:45:20 time: 0.5748 data_time: 0.0222 memory: 17350 grad_norm: 5.7221 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.7815 loss: 2.7815 2022/07/22 02:12:54 - mmengine - INFO - Epoch(train) [3][2960/3757] lr: 1.0000e-02 eta: 2 days, 19:45:52 time: 0.7339 data_time: 0.0212 memory: 17350 grad_norm: 5.6460 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9688 loss: 2.9688 2022/07/22 02:13:07 - mmengine - INFO - Epoch(train) [3][2980/3757] lr: 1.0000e-02 eta: 2 days, 19:45:02 time: 0.6143 data_time: 0.0434 memory: 17350 grad_norm: 5.8614 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6902 loss: 2.6902 2022/07/22 02:13:21 - mmengine - INFO - Epoch(train) [3][3000/3757] lr: 1.0000e-02 eta: 2 days, 19:45:11 time: 0.7003 data_time: 0.0406 memory: 17350 grad_norm: 5.9297 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8848 loss: 2.8848 2022/07/22 02:13:32 - mmengine - INFO - Epoch(train) [3][3020/3757] lr: 1.0000e-02 eta: 2 days, 19:43:57 time: 0.5807 data_time: 0.0240 memory: 17350 grad_norm: 5.6528 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7060 loss: 2.7060 2022/07/22 02:13:47 - mmengine - INFO - Epoch(train) [3][3040/3757] lr: 1.0000e-02 eta: 2 days, 19:44:28 time: 0.7319 data_time: 0.0318 memory: 17350 grad_norm: 5.5875 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0920 loss: 3.0920 2022/07/22 02:13:59 - mmengine - INFO - Epoch(train) [3][3060/3757] lr: 1.0000e-02 eta: 2 days, 19:43:32 time: 0.6066 data_time: 0.0334 memory: 17350 grad_norm: 5.7737 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6863 loss: 2.6863 2022/07/22 02:14:13 - mmengine - INFO - Epoch(train) [3][3080/3757] lr: 1.0000e-02 eta: 2 days, 19:43:46 time: 0.7071 data_time: 0.0208 memory: 17350 grad_norm: 5.8671 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5699 loss: 2.5699 2022/07/22 02:14:26 - mmengine - INFO - Epoch(train) [3][3100/3757] lr: 1.0000e-02 eta: 2 days, 19:43:02 time: 0.6233 data_time: 0.0236 memory: 17350 grad_norm: 5.8659 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1634 loss: 3.1634 2022/07/22 02:14:39 - mmengine - INFO - Epoch(train) [3][3120/3757] lr: 1.0000e-02 eta: 2 days, 19:43:00 time: 0.6833 data_time: 0.0318 memory: 17350 grad_norm: 5.8363 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8004 loss: 2.8004 2022/07/22 02:14:52 - mmengine - INFO - Epoch(train) [3][3140/3757] lr: 1.0000e-02 eta: 2 days, 19:42:16 time: 0.6235 data_time: 0.0554 memory: 17350 grad_norm: 5.8594 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0054 loss: 3.0054 2022/07/22 02:15:07 - mmengine - INFO - Epoch(train) [3][3160/3757] lr: 1.0000e-02 eta: 2 days, 19:43:01 time: 0.7527 data_time: 0.0862 memory: 17350 grad_norm: 6.0188 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7592 loss: 2.7592 2022/07/22 02:15:19 - mmengine - INFO - Epoch(train) [3][3180/3757] lr: 1.0000e-02 eta: 2 days, 19:42:16 time: 0.6214 data_time: 0.0275 memory: 17350 grad_norm: 5.7635 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5924 loss: 2.5924 2022/07/22 02:15:34 - mmengine - INFO - Epoch(train) [3][3200/3757] lr: 1.0000e-02 eta: 2 days, 19:42:38 time: 0.7196 data_time: 0.0209 memory: 17350 grad_norm: 5.7251 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2673 loss: 3.2673 2022/07/22 02:15:47 - mmengine - INFO - Epoch(train) [3][3220/3757] lr: 1.0000e-02 eta: 2 days, 19:42:37 time: 0.6865 data_time: 0.0257 memory: 17350 grad_norm: 5.9193 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6482 loss: 2.6482 2022/07/22 02:16:00 - mmengine - INFO - Epoch(train) [3][3240/3757] lr: 1.0000e-02 eta: 2 days, 19:42:05 time: 0.6401 data_time: 0.0220 memory: 17350 grad_norm: 5.7614 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6101 loss: 2.6101 2022/07/22 02:16:14 - mmengine - INFO - Epoch(train) [3][3260/3757] lr: 1.0000e-02 eta: 2 days, 19:42:10 time: 0.6959 data_time: 0.0223 memory: 17350 grad_norm: 5.7086 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6951 loss: 2.6951 2022/07/22 02:16:27 - mmengine - INFO - Epoch(train) [3][3280/3757] lr: 1.0000e-02 eta: 2 days, 19:41:22 time: 0.6158 data_time: 0.0211 memory: 17350 grad_norm: 5.6311 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8593 loss: 2.8593 2022/07/22 02:16:40 - mmengine - INFO - Epoch(train) [3][3300/3757] lr: 1.0000e-02 eta: 2 days, 19:41:13 time: 0.6748 data_time: 0.0228 memory: 17350 grad_norm: 5.9596 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6389 loss: 2.6389 2022/07/22 02:16:52 - mmengine - INFO - Epoch(train) [3][3320/3757] lr: 1.0000e-02 eta: 2 days, 19:40:28 time: 0.6209 data_time: 0.0223 memory: 17350 grad_norm: 5.7657 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7684 loss: 2.7684 2022/07/22 02:17:07 - mmengine - INFO - Epoch(train) [3][3340/3757] lr: 1.0000e-02 eta: 2 days, 19:40:48 time: 0.7167 data_time: 0.0218 memory: 17350 grad_norm: 5.7757 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8127 loss: 2.8127 2022/07/22 02:17:20 - mmengine - INFO - Epoch(train) [3][3360/3757] lr: 1.0000e-02 eta: 2 days, 19:40:22 time: 0.6489 data_time: 0.0226 memory: 17350 grad_norm: 5.6672 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1116 loss: 3.1116 2022/07/22 02:17:32 - mmengine - INFO - Epoch(train) [3][3380/3757] lr: 1.0000e-02 eta: 2 days, 19:39:48 time: 0.6368 data_time: 0.0275 memory: 17350 grad_norm: 5.7825 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8655 loss: 2.8655 2022/07/22 02:17:47 - mmengine - INFO - Epoch(train) [3][3400/3757] lr: 1.0000e-02 eta: 2 days, 19:40:11 time: 0.7224 data_time: 0.0276 memory: 17350 grad_norm: 5.7598 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0030 loss: 3.0030 2022/07/22 02:17:59 - mmengine - INFO - Epoch(train) [3][3420/3757] lr: 1.0000e-02 eta: 2 days, 19:39:11 time: 0.5984 data_time: 0.0219 memory: 17350 grad_norm: 5.9254 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7716 loss: 2.7716 2022/07/22 02:18:13 - mmengine - INFO - Epoch(train) [3][3440/3757] lr: 1.0000e-02 eta: 2 days, 19:39:15 time: 0.6943 data_time: 0.0230 memory: 17350 grad_norm: 5.7429 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9260 loss: 2.9260 2022/07/22 02:18:25 - mmengine - INFO - Epoch(train) [3][3460/3757] lr: 1.0000e-02 eta: 2 days, 19:38:26 time: 0.6138 data_time: 0.0229 memory: 17350 grad_norm: 5.8160 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9010 loss: 2.9010 2022/07/22 02:18:40 - mmengine - INFO - Epoch(train) [3][3480/3757] lr: 1.0000e-02 eta: 2 days, 19:39:04 time: 0.7443 data_time: 0.0206 memory: 17350 grad_norm: 5.7921 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7114 loss: 2.7114 2022/07/22 02:18:44 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 02:18:52 - mmengine - INFO - Epoch(train) [3][3500/3757] lr: 1.0000e-02 eta: 2 days, 19:38:03 time: 0.5964 data_time: 0.0252 memory: 17350 grad_norm: 5.8029 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7459 loss: 2.7459 2022/07/22 02:19:06 - mmengine - INFO - Epoch(train) [3][3520/3757] lr: 1.0000e-02 eta: 2 days, 19:38:26 time: 0.7230 data_time: 0.0222 memory: 17350 grad_norm: 5.7574 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7947 loss: 2.7947 2022/07/22 02:19:18 - mmengine - INFO - Epoch(train) [3][3540/3757] lr: 1.0000e-02 eta: 2 days, 19:37:12 time: 0.5747 data_time: 0.0236 memory: 17350 grad_norm: 5.6166 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8616 loss: 2.8616 2022/07/22 02:19:33 - mmengine - INFO - Epoch(train) [3][3560/3757] lr: 1.0000e-02 eta: 2 days, 19:37:56 time: 0.7545 data_time: 0.0196 memory: 17350 grad_norm: 5.7039 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7777 loss: 2.7777 2022/07/22 02:19:45 - mmengine - INFO - Epoch(train) [3][3580/3757] lr: 1.0000e-02 eta: 2 days, 19:37:12 time: 0.6215 data_time: 0.0230 memory: 17350 grad_norm: 5.8891 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7461 loss: 2.7461 2022/07/22 02:20:00 - mmengine - INFO - Epoch(train) [3][3600/3757] lr: 1.0000e-02 eta: 2 days, 19:37:29 time: 0.7145 data_time: 0.0205 memory: 17350 grad_norm: 5.6684 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6521 loss: 2.6521 2022/07/22 02:20:12 - mmengine - INFO - Epoch(train) [3][3620/3757] lr: 1.0000e-02 eta: 2 days, 19:36:45 time: 0.6203 data_time: 0.0233 memory: 17350 grad_norm: 5.7263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9379 loss: 2.9379 2022/07/22 02:20:27 - mmengine - INFO - Epoch(train) [3][3640/3757] lr: 1.0000e-02 eta: 2 days, 19:37:37 time: 0.7675 data_time: 0.0213 memory: 17350 grad_norm: 5.6561 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9387 loss: 2.9387 2022/07/22 02:20:39 - mmengine - INFO - Epoch(train) [3][3660/3757] lr: 1.0000e-02 eta: 2 days, 19:36:25 time: 0.5780 data_time: 0.0243 memory: 17350 grad_norm: 5.7654 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9568 loss: 2.9568 2022/07/22 02:20:55 - mmengine - INFO - Epoch(train) [3][3680/3757] lr: 1.0000e-02 eta: 2 days, 19:37:31 time: 0.7900 data_time: 0.0213 memory: 17350 grad_norm: 5.6279 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8404 loss: 2.8404 2022/07/22 02:21:07 - mmengine - INFO - Epoch(train) [3][3700/3757] lr: 1.0000e-02 eta: 2 days, 19:36:28 time: 0.5909 data_time: 0.0207 memory: 17350 grad_norm: 5.7008 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6852 loss: 2.6852 2022/07/22 02:21:20 - mmengine - INFO - Epoch(train) [3][3720/3757] lr: 1.0000e-02 eta: 2 days, 19:36:22 time: 0.6793 data_time: 0.0225 memory: 17350 grad_norm: 5.7830 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.8586 loss: 2.8586 2022/07/22 02:21:33 - mmengine - INFO - Epoch(train) [3][3740/3757] lr: 1.0000e-02 eta: 2 days, 19:35:36 time: 0.6181 data_time: 0.0223 memory: 17350 grad_norm: 5.7811 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8531 loss: 2.8531 2022/07/22 02:21:41 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 02:21:41 - mmengine - INFO - Epoch(train) [3][3757/3757] lr: 1.0000e-02 eta: 2 days, 19:35:36 time: 0.4576 data_time: 0.0210 memory: 17350 grad_norm: 5.7235 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 2.7978 loss: 2.7978 2022/07/22 02:21:58 - mmengine - INFO - Epoch(val) [3][20/310] eta: 0:04:09 time: 0.8613 data_time: 0.7463 memory: 3406 2022/07/22 02:22:09 - mmengine - INFO - Epoch(val) [3][40/310] eta: 0:02:30 time: 0.5580 data_time: 0.4453 memory: 3406 2022/07/22 02:22:25 - mmengine - INFO - Epoch(val) [3][60/310] eta: 0:03:20 time: 0.8013 data_time: 0.6883 memory: 3406 2022/07/22 02:22:36 - mmengine - INFO - Epoch(val) [3][80/310] eta: 0:02:08 time: 0.5573 data_time: 0.4439 memory: 3406 2022/07/22 02:22:52 - mmengine - INFO - Epoch(val) [3][100/310] eta: 0:02:48 time: 0.8029 data_time: 0.6889 memory: 3406 2022/07/22 02:23:04 - mmengine - INFO - Epoch(val) [3][120/310] eta: 0:01:46 time: 0.5603 data_time: 0.4491 memory: 3406 2022/07/22 02:23:19 - mmengine - INFO - Epoch(val) [3][140/310] eta: 0:02:09 time: 0.7643 data_time: 0.6518 memory: 3406 2022/07/22 02:23:29 - mmengine - INFO - Epoch(val) [3][160/310] eta: 0:01:18 time: 0.5264 data_time: 0.4151 memory: 3406 2022/07/22 02:23:45 - mmengine - INFO - Epoch(val) [3][180/310] eta: 0:01:41 time: 0.7837 data_time: 0.6690 memory: 3406 2022/07/22 02:23:56 - mmengine - INFO - Epoch(val) [3][200/310] eta: 0:00:59 time: 0.5449 data_time: 0.4326 memory: 3406 2022/07/22 02:24:11 - mmengine - INFO - Epoch(val) [3][220/310] eta: 0:01:08 time: 0.7636 data_time: 0.6449 memory: 3406 2022/07/22 02:24:22 - mmengine - INFO - Epoch(val) [3][240/310] eta: 0:00:38 time: 0.5483 data_time: 0.4368 memory: 3406 2022/07/22 02:24:38 - mmengine - INFO - Epoch(val) [3][260/310] eta: 0:00:39 time: 0.7919 data_time: 0.6769 memory: 3406 2022/07/22 02:24:49 - mmengine - INFO - Epoch(val) [3][280/310] eta: 0:00:16 time: 0.5374 data_time: 0.4258 memory: 3406 2022/07/22 02:25:04 - mmengine - INFO - Epoch(val) [3][300/310] eta: 0:00:07 time: 0.7446 data_time: 0.6310 memory: 3406 2022/07/22 02:25:08 - mmengine - INFO - Epoch(val) [3][310/310] acc/top1: 0.4251 acc/top5: 0.7037 acc/mean1: 0.4249 2022/07/22 02:25:08 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_3.pth is removed 2022/07/22 02:25:11 - mmengine - INFO - The best checkpoint with 0.4251 acc/top1 at 4 epoch is saved to best_acc/top1_epoch_4.pth. 2022/07/22 02:25:29 - mmengine - INFO - Epoch(train) [4][20/3757] lr: 1.0000e-02 eta: 2 days, 19:31:30 time: 0.8924 data_time: 0.5539 memory: 17350 grad_norm: 5.6516 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6233 loss: 2.6233 2022/07/22 02:25:41 - mmengine - INFO - Epoch(train) [4][40/3757] lr: 1.0000e-02 eta: 2 days, 19:30:17 time: 0.5734 data_time: 0.2430 memory: 17350 grad_norm: 5.6613 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6234 loss: 2.6234 2022/07/22 02:25:55 - mmengine - INFO - Epoch(train) [4][60/3757] lr: 1.0000e-02 eta: 2 days, 19:30:24 time: 0.6987 data_time: 0.3674 memory: 17350 grad_norm: 5.8958 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9113 loss: 2.9113 2022/07/22 02:26:07 - mmengine - INFO - Epoch(train) [4][80/3757] lr: 1.0000e-02 eta: 2 days, 19:29:39 time: 0.6174 data_time: 0.2824 memory: 17350 grad_norm: 5.7080 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4860 loss: 2.4860 2022/07/22 02:26:21 - mmengine - INFO - Epoch(train) [4][100/3757] lr: 1.0000e-02 eta: 2 days, 19:30:02 time: 0.7245 data_time: 0.3965 memory: 17350 grad_norm: 5.8631 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0207 loss: 3.0207 2022/07/22 02:26:32 - mmengine - INFO - Epoch(train) [4][120/3757] lr: 1.0000e-02 eta: 2 days, 19:28:34 time: 0.5493 data_time: 0.2205 memory: 17350 grad_norm: 5.7832 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7075 loss: 2.7075 2022/07/22 02:26:48 - mmengine - INFO - Epoch(train) [4][140/3757] lr: 1.0000e-02 eta: 2 days, 19:29:19 time: 0.7584 data_time: 0.2906 memory: 17350 grad_norm: 5.7027 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8597 loss: 2.8597 2022/07/22 02:27:01 - mmengine - INFO - Epoch(train) [4][160/3757] lr: 1.0000e-02 eta: 2 days, 19:29:03 time: 0.6626 data_time: 0.1318 memory: 17350 grad_norm: 5.9201 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9408 loss: 2.9408 2022/07/22 02:27:15 - mmengine - INFO - Epoch(train) [4][180/3757] lr: 1.0000e-02 eta: 2 days, 19:29:18 time: 0.7120 data_time: 0.0355 memory: 17350 grad_norm: 5.6810 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1819 loss: 3.1819 2022/07/22 02:27:27 - mmengine - INFO - Epoch(train) [4][200/3757] lr: 1.0000e-02 eta: 2 days, 19:28:31 time: 0.6144 data_time: 0.0413 memory: 17350 grad_norm: 5.7398 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4490 loss: 2.4490 2022/07/22 02:27:41 - mmengine - INFO - Epoch(train) [4][220/3757] lr: 1.0000e-02 eta: 2 days, 19:28:37 time: 0.6979 data_time: 0.0378 memory: 17350 grad_norm: 5.6784 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9984 loss: 2.9984 2022/07/22 02:27:53 - mmengine - INFO - Epoch(train) [4][240/3757] lr: 1.0000e-02 eta: 2 days, 19:27:34 time: 0.5884 data_time: 0.0219 memory: 17350 grad_norm: 5.8478 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8910 loss: 2.8910 2022/07/22 02:28:08 - mmengine - INFO - Epoch(train) [4][260/3757] lr: 1.0000e-02 eta: 2 days, 19:28:15 time: 0.7525 data_time: 0.0515 memory: 17350 grad_norm: 5.8127 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.7822 loss: 2.7822 2022/07/22 02:28:20 - mmengine - INFO - Epoch(train) [4][280/3757] lr: 1.0000e-02 eta: 2 days, 19:27:13 time: 0.5894 data_time: 0.0248 memory: 17350 grad_norm: 5.8140 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7977 loss: 2.7977 2022/07/22 02:28:34 - mmengine - INFO - Epoch(train) [4][300/3757] lr: 1.0000e-02 eta: 2 days, 19:27:29 time: 0.7132 data_time: 0.0216 memory: 17350 grad_norm: 5.8006 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4206 loss: 2.4206 2022/07/22 02:28:47 - mmengine - INFO - Epoch(train) [4][320/3757] lr: 1.0000e-02 eta: 2 days, 19:26:57 time: 0.6369 data_time: 0.0227 memory: 17350 grad_norm: 6.0679 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6714 loss: 2.6714 2022/07/22 02:29:01 - mmengine - INFO - Epoch(train) [4][340/3757] lr: 1.0000e-02 eta: 2 days, 19:27:09 time: 0.7078 data_time: 0.0277 memory: 17350 grad_norm: 5.9769 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8594 loss: 2.8594 2022/07/22 02:29:13 - mmengine - INFO - Epoch(train) [4][360/3757] lr: 1.0000e-02 eta: 2 days, 19:26:06 time: 0.5873 data_time: 0.0576 memory: 17350 grad_norm: 5.7918 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7211 loss: 2.7211 2022/07/22 02:29:27 - mmengine - INFO - Epoch(train) [4][380/3757] lr: 1.0000e-02 eta: 2 days, 19:26:35 time: 0.7342 data_time: 0.0222 memory: 17350 grad_norm: 5.7072 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8775 loss: 2.8775 2022/07/22 02:29:40 - mmengine - INFO - Epoch(train) [4][400/3757] lr: 1.0000e-02 eta: 2 days, 19:25:46 time: 0.6105 data_time: 0.0285 memory: 17350 grad_norm: 5.8501 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.9387 loss: 2.9387 2022/07/22 02:29:55 - mmengine - INFO - Epoch(train) [4][420/3757] lr: 1.0000e-02 eta: 2 days, 19:26:31 time: 0.7600 data_time: 0.0816 memory: 17350 grad_norm: 5.6893 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4484 loss: 2.4484 2022/07/22 02:30:08 - mmengine - INFO - Epoch(train) [4][440/3757] lr: 1.0000e-02 eta: 2 days, 19:26:03 time: 0.6435 data_time: 0.0439 memory: 17350 grad_norm: 5.9620 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7731 loss: 2.7731 2022/07/22 02:30:22 - mmengine - INFO - Epoch(train) [4][460/3757] lr: 1.0000e-02 eta: 2 days, 19:26:32 time: 0.7358 data_time: 0.0380 memory: 17350 grad_norm: 5.7631 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8455 loss: 2.8455 2022/07/22 02:30:34 - mmengine - INFO - Epoch(train) [4][480/3757] lr: 1.0000e-02 eta: 2 days, 19:25:32 time: 0.5912 data_time: 0.0226 memory: 17350 grad_norm: 5.8512 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7738 loss: 2.7738 2022/07/22 02:30:49 - mmengine - INFO - Epoch(train) [4][500/3757] lr: 1.0000e-02 eta: 2 days, 19:25:47 time: 0.7133 data_time: 0.0207 memory: 17350 grad_norm: 5.9947 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5879 loss: 2.5879 2022/07/22 02:31:01 - mmengine - INFO - Epoch(train) [4][520/3757] lr: 1.0000e-02 eta: 2 days, 19:24:56 time: 0.6056 data_time: 0.0509 memory: 17350 grad_norm: 5.7836 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7105 loss: 2.7105 2022/07/22 02:31:15 - mmengine - INFO - Epoch(train) [4][540/3757] lr: 1.0000e-02 eta: 2 days, 19:25:25 time: 0.7356 data_time: 0.0402 memory: 17350 grad_norm: 5.8292 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6721 loss: 2.6721 2022/07/22 02:31:28 - mmengine - INFO - Epoch(train) [4][560/3757] lr: 1.0000e-02 eta: 2 days, 19:24:52 time: 0.6353 data_time: 0.0345 memory: 17350 grad_norm: 5.8541 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8787 loss: 2.8787 2022/07/22 02:31:42 - mmengine - INFO - Epoch(train) [4][580/3757] lr: 1.0000e-02 eta: 2 days, 19:24:55 time: 0.6937 data_time: 0.0241 memory: 17350 grad_norm: 5.9396 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0597 loss: 3.0597 2022/07/22 02:31:55 - mmengine - INFO - Epoch(train) [4][600/3757] lr: 1.0000e-02 eta: 2 days, 19:24:27 time: 0.6422 data_time: 0.0220 memory: 17350 grad_norm: 5.7685 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8556 loss: 2.8556 2022/07/22 02:32:10 - mmengine - INFO - Epoch(train) [4][620/3757] lr: 1.0000e-02 eta: 2 days, 19:25:03 time: 0.7477 data_time: 0.0219 memory: 17350 grad_norm: 5.6349 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7950 loss: 2.7950 2022/07/22 02:32:22 - mmengine - INFO - Epoch(train) [4][640/3757] lr: 1.0000e-02 eta: 2 days, 19:24:01 time: 0.5883 data_time: 0.0370 memory: 17350 grad_norm: 5.9294 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6460 loss: 2.6460 2022/07/22 02:32:36 - mmengine - INFO - Epoch(train) [4][660/3757] lr: 1.0000e-02 eta: 2 days, 19:24:09 time: 0.7024 data_time: 0.0224 memory: 17350 grad_norm: 5.7958 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7074 loss: 2.7074 2022/07/22 02:32:48 - mmengine - INFO - Epoch(train) [4][680/3757] lr: 1.0000e-02 eta: 2 days, 19:23:20 time: 0.6076 data_time: 0.0207 memory: 17350 grad_norm: 5.9108 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8184 loss: 2.8184 2022/07/22 02:33:03 - mmengine - INFO - Epoch(train) [4][700/3757] lr: 1.0000e-02 eta: 2 days, 19:23:53 time: 0.7434 data_time: 0.0228 memory: 17350 grad_norm: 5.5861 top1_acc: 0.1250 top5_acc: 1.0000 loss_cls: 2.9088 loss: 2.9088 2022/07/22 02:33:15 - mmengine - INFO - Epoch(train) [4][720/3757] lr: 1.0000e-02 eta: 2 days, 19:23:08 time: 0.6154 data_time: 0.0233 memory: 17350 grad_norm: 5.6716 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5759 loss: 2.5759 2022/07/22 02:33:20 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 02:33:29 - mmengine - INFO - Epoch(train) [4][740/3757] lr: 1.0000e-02 eta: 2 days, 19:23:11 time: 0.6943 data_time: 0.0224 memory: 17350 grad_norm: 5.8345 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8278 loss: 2.8278 2022/07/22 02:33:41 - mmengine - INFO - Epoch(train) [4][760/3757] lr: 1.0000e-02 eta: 2 days, 19:22:10 time: 0.5872 data_time: 0.0218 memory: 17350 grad_norm: 5.6353 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6077 loss: 2.6077 2022/07/22 02:33:56 - mmengine - INFO - Epoch(train) [4][780/3757] lr: 1.0000e-02 eta: 2 days, 19:22:52 time: 0.7592 data_time: 0.0218 memory: 17350 grad_norm: 5.6345 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8253 loss: 2.8253 2022/07/22 02:34:08 - mmengine - INFO - Epoch(train) [4][800/3757] lr: 1.0000e-02 eta: 2 days, 19:22:00 time: 0.6027 data_time: 0.0240 memory: 17350 grad_norm: 5.6345 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7831 loss: 2.7831 2022/07/22 02:34:23 - mmengine - INFO - Epoch(train) [4][820/3757] lr: 1.0000e-02 eta: 2 days, 19:22:28 time: 0.7362 data_time: 0.0235 memory: 17350 grad_norm: 5.7565 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6785 loss: 2.6785 2022/07/22 02:34:34 - mmengine - INFO - Epoch(train) [4][840/3757] lr: 1.0000e-02 eta: 2 days, 19:21:29 time: 0.5909 data_time: 0.0247 memory: 17350 grad_norm: 5.8484 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8693 loss: 2.8693 2022/07/22 02:34:49 - mmengine - INFO - Epoch(train) [4][860/3757] lr: 1.0000e-02 eta: 2 days, 19:21:42 time: 0.7100 data_time: 0.0219 memory: 17350 grad_norm: 5.7643 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.8603 loss: 2.8603 2022/07/22 02:35:01 - mmengine - INFO - Epoch(train) [4][880/3757] lr: 1.0000e-02 eta: 2 days, 19:21:04 time: 0.6260 data_time: 0.0225 memory: 17350 grad_norm: 5.7932 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7788 loss: 2.7788 2022/07/22 02:35:15 - mmengine - INFO - Epoch(train) [4][900/3757] lr: 1.0000e-02 eta: 2 days, 19:21:16 time: 0.7089 data_time: 0.0261 memory: 17350 grad_norm: 5.8404 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7428 loss: 2.7428 2022/07/22 02:35:27 - mmengine - INFO - Epoch(train) [4][920/3757] lr: 1.0000e-02 eta: 2 days, 19:20:26 time: 0.6069 data_time: 0.0227 memory: 17350 grad_norm: 5.8202 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6421 loss: 2.6421 2022/07/22 02:35:43 - mmengine - INFO - Epoch(train) [4][940/3757] lr: 1.0000e-02 eta: 2 days, 19:21:25 time: 0.7880 data_time: 0.0234 memory: 17350 grad_norm: 5.9910 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6854 loss: 2.6854 2022/07/22 02:35:55 - mmengine - INFO - Epoch(train) [4][960/3757] lr: 1.0000e-02 eta: 2 days, 19:20:35 time: 0.6044 data_time: 0.0240 memory: 17350 grad_norm: 5.6799 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6452 loss: 2.6452 2022/07/22 02:36:10 - mmengine - INFO - Epoch(train) [4][980/3757] lr: 1.0000e-02 eta: 2 days, 19:20:51 time: 0.7177 data_time: 0.0218 memory: 17350 grad_norm: 5.7889 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6528 loss: 2.6528 2022/07/22 02:36:21 - mmengine - INFO - Epoch(train) [4][1000/3757] lr: 1.0000e-02 eta: 2 days, 19:19:31 time: 0.5546 data_time: 0.0223 memory: 17350 grad_norm: 5.7013 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7253 loss: 2.7253 2022/07/22 02:36:35 - mmengine - INFO - Epoch(train) [4][1020/3757] lr: 1.0000e-02 eta: 2 days, 19:19:59 time: 0.7361 data_time: 0.0207 memory: 17350 grad_norm: 5.7489 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9895 loss: 2.9895 2022/07/22 02:36:48 - mmengine - INFO - Epoch(train) [4][1040/3757] lr: 1.0000e-02 eta: 2 days, 19:19:14 time: 0.6134 data_time: 0.0223 memory: 17350 grad_norm: 5.8074 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0571 loss: 3.0571 2022/07/22 02:37:02 - mmengine - INFO - Epoch(train) [4][1060/3757] lr: 1.0000e-02 eta: 2 days, 19:19:34 time: 0.7240 data_time: 0.0244 memory: 17350 grad_norm: 5.4862 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7055 loss: 2.7055 2022/07/22 02:37:14 - mmengine - INFO - Epoch(train) [4][1080/3757] lr: 1.0000e-02 eta: 2 days, 19:18:38 time: 0.5940 data_time: 0.0229 memory: 17350 grad_norm: 5.8747 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9688 loss: 2.9688 2022/07/22 02:37:30 - mmengine - INFO - Epoch(train) [4][1100/3757] lr: 1.0000e-02 eta: 2 days, 19:19:31 time: 0.7803 data_time: 0.0220 memory: 17350 grad_norm: 5.8868 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1308 loss: 3.1308 2022/07/22 02:37:41 - mmengine - INFO - Epoch(train) [4][1120/3757] lr: 1.0000e-02 eta: 2 days, 19:18:27 time: 0.5800 data_time: 0.0211 memory: 17350 grad_norm: 5.8065 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7462 loss: 2.7462 2022/07/22 02:37:56 - mmengine - INFO - Epoch(train) [4][1140/3757] lr: 1.0000e-02 eta: 2 days, 19:18:41 time: 0.7136 data_time: 0.0210 memory: 17350 grad_norm: 5.7011 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8775 loss: 2.8775 2022/07/22 02:38:07 - mmengine - INFO - Epoch(train) [4][1160/3757] lr: 1.0000e-02 eta: 2 days, 19:17:45 time: 0.5949 data_time: 0.0225 memory: 17350 grad_norm: 5.6821 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5442 loss: 2.5442 2022/07/22 02:38:22 - mmengine - INFO - Epoch(train) [4][1180/3757] lr: 1.0000e-02 eta: 2 days, 19:18:08 time: 0.7296 data_time: 0.0207 memory: 17350 grad_norm: 5.7789 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6770 loss: 2.6770 2022/07/22 02:38:34 - mmengine - INFO - Epoch(train) [4][1200/3757] lr: 1.0000e-02 eta: 2 days, 19:17:16 time: 0.6007 data_time: 0.0222 memory: 17350 grad_norm: 5.8046 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5397 loss: 2.5397 2022/07/22 02:38:48 - mmengine - INFO - Epoch(train) [4][1220/3757] lr: 1.0000e-02 eta: 2 days, 19:17:32 time: 0.7170 data_time: 0.0365 memory: 17350 grad_norm: 5.7325 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7162 loss: 2.7162 2022/07/22 02:39:00 - mmengine - INFO - Epoch(train) [4][1240/3757] lr: 1.0000e-02 eta: 2 days, 19:16:41 time: 0.6018 data_time: 0.0221 memory: 17350 grad_norm: 5.5272 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5881 loss: 2.5881 2022/07/22 02:39:15 - mmengine - INFO - Epoch(train) [4][1260/3757] lr: 1.0000e-02 eta: 2 days, 19:17:05 time: 0.7319 data_time: 0.0214 memory: 17350 grad_norm: 5.8017 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9630 loss: 2.9630 2022/07/22 02:39:27 - mmengine - INFO - Epoch(train) [4][1280/3757] lr: 1.0000e-02 eta: 2 days, 19:16:15 time: 0.6021 data_time: 0.0307 memory: 17350 grad_norm: 5.7711 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7266 loss: 2.7266 2022/07/22 02:39:41 - mmengine - INFO - Epoch(train) [4][1300/3757] lr: 1.0000e-02 eta: 2 days, 19:16:32 time: 0.7197 data_time: 0.0237 memory: 17350 grad_norm: 5.7143 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7405 loss: 2.7405 2022/07/22 02:39:53 - mmengine - INFO - Epoch(train) [4][1320/3757] lr: 1.0000e-02 eta: 2 days, 19:15:36 time: 0.5940 data_time: 0.0248 memory: 17350 grad_norm: 5.7608 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6737 loss: 2.6737 2022/07/22 02:40:09 - mmengine - INFO - Epoch(train) [4][1340/3757] lr: 1.0000e-02 eta: 2 days, 19:16:16 time: 0.7589 data_time: 0.0230 memory: 17350 grad_norm: 5.7164 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5090 loss: 2.5090 2022/07/22 02:40:20 - mmengine - INFO - Epoch(train) [4][1360/3757] lr: 1.0000e-02 eta: 2 days, 19:15:13 time: 0.5815 data_time: 0.0222 memory: 17350 grad_norm: 5.7291 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7726 loss: 2.7726 2022/07/22 02:40:34 - mmengine - INFO - Epoch(train) [4][1380/3757] lr: 1.0000e-02 eta: 2 days, 19:15:27 time: 0.7139 data_time: 0.0216 memory: 17350 grad_norm: 5.9189 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8135 loss: 2.8135 2022/07/22 02:40:46 - mmengine - INFO - Epoch(train) [4][1400/3757] lr: 1.0000e-02 eta: 2 days, 19:14:36 time: 0.6007 data_time: 0.0226 memory: 17350 grad_norm: 5.6736 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4420 loss: 2.4420 2022/07/22 02:41:01 - mmengine - INFO - Epoch(train) [4][1420/3757] lr: 1.0000e-02 eta: 2 days, 19:15:00 time: 0.7315 data_time: 0.0221 memory: 17350 grad_norm: 5.8652 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8420 loss: 2.8420 2022/07/22 02:41:13 - mmengine - INFO - Epoch(train) [4][1440/3757] lr: 1.0000e-02 eta: 2 days, 19:14:14 time: 0.6106 data_time: 0.0235 memory: 17350 grad_norm: 5.6559 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8689 loss: 2.8689 2022/07/22 02:41:28 - mmengine - INFO - Epoch(train) [4][1460/3757] lr: 1.0000e-02 eta: 2 days, 19:14:51 time: 0.7545 data_time: 0.0557 memory: 17350 grad_norm: 5.6406 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4388 loss: 2.4388 2022/07/22 02:41:40 - mmengine - INFO - Epoch(train) [4][1480/3757] lr: 1.0000e-02 eta: 2 days, 19:13:55 time: 0.5932 data_time: 0.0609 memory: 17350 grad_norm: 5.7784 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5807 loss: 2.5807 2022/07/22 02:41:54 - mmengine - INFO - Epoch(train) [4][1500/3757] lr: 1.0000e-02 eta: 2 days, 19:13:53 time: 0.6860 data_time: 0.0644 memory: 17350 grad_norm: 5.6813 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6463 loss: 2.6463 2022/07/22 02:42:07 - mmengine - INFO - Epoch(train) [4][1520/3757] lr: 1.0000e-02 eta: 2 days, 19:13:33 time: 0.6557 data_time: 0.1306 memory: 17350 grad_norm: 5.7752 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9394 loss: 2.9394 2022/07/22 02:42:21 - mmengine - INFO - Epoch(train) [4][1540/3757] lr: 1.0000e-02 eta: 2 days, 19:13:31 time: 0.6871 data_time: 0.1988 memory: 17350 grad_norm: 5.7267 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6493 loss: 2.6493 2022/07/22 02:42:33 - mmengine - INFO - Epoch(train) [4][1560/3757] lr: 1.0000e-02 eta: 2 days, 19:12:48 time: 0.6132 data_time: 0.1556 memory: 17350 grad_norm: 5.7930 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8577 loss: 2.8577 2022/07/22 02:42:47 - mmengine - INFO - Epoch(train) [4][1580/3757] lr: 1.0000e-02 eta: 2 days, 19:13:00 time: 0.7121 data_time: 0.2672 memory: 17350 grad_norm: 5.6568 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7691 loss: 2.7691 2022/07/22 02:43:01 - mmengine - INFO - Epoch(train) [4][1600/3757] lr: 1.0000e-02 eta: 2 days, 19:12:44 time: 0.6628 data_time: 0.2101 memory: 17350 grad_norm: 5.7541 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6636 loss: 2.6636 2022/07/22 02:43:14 - mmengine - INFO - Epoch(train) [4][1620/3757] lr: 1.0000e-02 eta: 2 days, 19:12:41 time: 0.6849 data_time: 0.0326 memory: 17350 grad_norm: 5.7339 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7567 loss: 2.7567 2022/07/22 02:43:27 - mmengine - INFO - Epoch(train) [4][1640/3757] lr: 1.0000e-02 eta: 2 days, 19:12:10 time: 0.6361 data_time: 0.0482 memory: 17350 grad_norm: 5.6938 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4860 loss: 2.4860 2022/07/22 02:43:41 - mmengine - INFO - Epoch(train) [4][1660/3757] lr: 1.0000e-02 eta: 2 days, 19:12:07 time: 0.6839 data_time: 0.0977 memory: 17350 grad_norm: 5.6234 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9329 loss: 2.9329 2022/07/22 02:43:54 - mmengine - INFO - Epoch(train) [4][1680/3757] lr: 1.0000e-02 eta: 2 days, 19:11:46 time: 0.6539 data_time: 0.0754 memory: 17350 grad_norm: 5.7427 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5403 loss: 2.5403 2022/07/22 02:44:07 - mmengine - INFO - Epoch(train) [4][1700/3757] lr: 1.0000e-02 eta: 2 days, 19:11:42 time: 0.6845 data_time: 0.1188 memory: 17350 grad_norm: 5.7527 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6819 loss: 2.6819 2022/07/22 02:44:21 - mmengine - INFO - Epoch(train) [4][1720/3757] lr: 1.0000e-02 eta: 2 days, 19:11:21 time: 0.6524 data_time: 0.1154 memory: 17350 grad_norm: 5.5214 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7040 loss: 2.7040 2022/07/22 02:44:26 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 02:44:34 - mmengine - INFO - Epoch(train) [4][1740/3757] lr: 1.0000e-02 eta: 2 days, 19:11:20 time: 0.6886 data_time: 0.2341 memory: 17350 grad_norm: 5.6079 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3947 loss: 2.3947 2022/07/22 02:44:48 - mmengine - INFO - Epoch(train) [4][1760/3757] lr: 1.0000e-02 eta: 2 days, 19:11:13 time: 0.6783 data_time: 0.1755 memory: 17350 grad_norm: 5.7417 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8493 loss: 2.8493 2022/07/22 02:45:01 - mmengine - INFO - Epoch(train) [4][1780/3757] lr: 1.0000e-02 eta: 2 days, 19:10:53 time: 0.6559 data_time: 0.1289 memory: 17350 grad_norm: 5.5341 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6926 loss: 2.6926 2022/07/22 02:45:14 - mmengine - INFO - Epoch(train) [4][1800/3757] lr: 1.0000e-02 eta: 2 days, 19:10:44 time: 0.6733 data_time: 0.1196 memory: 17350 grad_norm: 5.7553 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7636 loss: 2.7636 2022/07/22 02:45:28 - mmengine - INFO - Epoch(train) [4][1820/3757] lr: 1.0000e-02 eta: 2 days, 19:10:42 time: 0.6880 data_time: 0.1618 memory: 17350 grad_norm: 5.9036 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4859 loss: 2.4859 2022/07/22 02:45:42 - mmengine - INFO - Epoch(train) [4][1840/3757] lr: 1.0000e-02 eta: 2 days, 19:10:33 time: 0.6741 data_time: 0.0794 memory: 17350 grad_norm: 5.9037 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5208 loss: 2.5208 2022/07/22 02:45:55 - mmengine - INFO - Epoch(train) [4][1860/3757] lr: 1.0000e-02 eta: 2 days, 19:10:06 time: 0.6432 data_time: 0.1008 memory: 17350 grad_norm: 5.7575 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7926 loss: 2.7926 2022/07/22 02:46:09 - mmengine - INFO - Epoch(train) [4][1880/3757] lr: 1.0000e-02 eta: 2 days, 19:10:21 time: 0.7186 data_time: 0.0690 memory: 17350 grad_norm: 5.8322 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7339 loss: 2.7339 2022/07/22 02:46:22 - mmengine - INFO - Epoch(train) [4][1900/3757] lr: 1.0000e-02 eta: 2 days, 19:09:49 time: 0.6329 data_time: 0.0930 memory: 17350 grad_norm: 5.8148 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.8161 loss: 2.8161 2022/07/22 02:46:36 - mmengine - INFO - Epoch(train) [4][1920/3757] lr: 1.0000e-02 eta: 2 days, 19:10:10 time: 0.7299 data_time: 0.0235 memory: 17350 grad_norm: 5.6920 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5019 loss: 2.5019 2022/07/22 02:46:49 - mmengine - INFO - Epoch(train) [4][1940/3757] lr: 1.0000e-02 eta: 2 days, 19:09:37 time: 0.6298 data_time: 0.0242 memory: 17350 grad_norm: 5.6500 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6866 loss: 2.6866 2022/07/22 02:47:04 - mmengine - INFO - Epoch(train) [4][1960/3757] lr: 1.0000e-02 eta: 2 days, 19:10:16 time: 0.7629 data_time: 0.0231 memory: 17350 grad_norm: 5.7838 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5294 loss: 2.5294 2022/07/22 02:47:16 - mmengine - INFO - Epoch(train) [4][1980/3757] lr: 1.0000e-02 eta: 2 days, 19:09:22 time: 0.5928 data_time: 0.0258 memory: 17350 grad_norm: 5.7212 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6989 loss: 2.6989 2022/07/22 02:47:30 - mmengine - INFO - Epoch(train) [4][2000/3757] lr: 1.0000e-02 eta: 2 days, 19:09:41 time: 0.7263 data_time: 0.0192 memory: 17350 grad_norm: 5.7003 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5491 loss: 2.5491 2022/07/22 02:47:42 - mmengine - INFO - Epoch(train) [4][2020/3757] lr: 1.0000e-02 eta: 2 days, 19:08:50 time: 0.5985 data_time: 0.0229 memory: 17350 grad_norm: 5.8770 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6925 loss: 2.6925 2022/07/22 02:47:56 - mmengine - INFO - Epoch(train) [4][2040/3757] lr: 1.0000e-02 eta: 2 days, 19:08:45 time: 0.6821 data_time: 0.0221 memory: 17350 grad_norm: 5.6480 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8642 loss: 2.8642 2022/07/22 02:48:09 - mmengine - INFO - Epoch(train) [4][2060/3757] lr: 1.0000e-02 eta: 2 days, 19:08:19 time: 0.6445 data_time: 0.0219 memory: 17350 grad_norm: 5.7878 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5548 loss: 2.5548 2022/07/22 02:48:23 - mmengine - INFO - Epoch(train) [4][2080/3757] lr: 1.0000e-02 eta: 2 days, 19:08:17 time: 0.6869 data_time: 0.0227 memory: 17350 grad_norm: 5.6617 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4733 loss: 2.4733 2022/07/22 02:48:35 - mmengine - INFO - Epoch(train) [4][2100/3757] lr: 1.0000e-02 eta: 2 days, 19:07:43 time: 0.6288 data_time: 0.0220 memory: 17350 grad_norm: 5.6852 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5193 loss: 2.5193 2022/07/22 02:48:49 - mmengine - INFO - Epoch(train) [4][2120/3757] lr: 1.0000e-02 eta: 2 days, 19:07:49 time: 0.7032 data_time: 0.0244 memory: 17350 grad_norm: 5.7706 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6342 loss: 2.6342 2022/07/22 02:49:02 - mmengine - INFO - Epoch(train) [4][2140/3757] lr: 1.0000e-02 eta: 2 days, 19:07:08 time: 0.6157 data_time: 0.0232 memory: 17350 grad_norm: 5.7124 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4628 loss: 2.4628 2022/07/22 02:49:16 - mmengine - INFO - Epoch(train) [4][2160/3757] lr: 1.0000e-02 eta: 2 days, 19:07:31 time: 0.7348 data_time: 0.0232 memory: 17350 grad_norm: 5.7418 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6762 loss: 2.6762 2022/07/22 02:49:29 - mmengine - INFO - Epoch(train) [4][2180/3757] lr: 1.0000e-02 eta: 2 days, 19:06:59 time: 0.6313 data_time: 0.0238 memory: 17350 grad_norm: 5.7590 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5413 loss: 2.5413 2022/07/22 02:49:43 - mmengine - INFO - Epoch(train) [4][2200/3757] lr: 1.0000e-02 eta: 2 days, 19:07:16 time: 0.7242 data_time: 0.0213 memory: 17350 grad_norm: 5.7474 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6815 loss: 2.6815 2022/07/22 02:49:55 - mmengine - INFO - Epoch(train) [4][2220/3757] lr: 1.0000e-02 eta: 2 days, 19:06:24 time: 0.5946 data_time: 0.0224 memory: 17350 grad_norm: 5.6162 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.7068 loss: 2.7068 2022/07/22 02:50:10 - mmengine - INFO - Epoch(train) [4][2240/3757] lr: 1.0000e-02 eta: 2 days, 19:06:34 time: 0.7112 data_time: 0.0234 memory: 17350 grad_norm: 5.6510 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8931 loss: 2.8931 2022/07/22 02:50:22 - mmengine - INFO - Epoch(train) [4][2260/3757] lr: 1.0000e-02 eta: 2 days, 19:05:48 time: 0.6052 data_time: 0.0218 memory: 17350 grad_norm: 5.6416 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5784 loss: 2.5784 2022/07/22 02:50:37 - mmengine - INFO - Epoch(train) [4][2280/3757] lr: 1.0000e-02 eta: 2 days, 19:06:25 time: 0.7624 data_time: 0.0215 memory: 17350 grad_norm: 5.6224 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7815 loss: 2.7815 2022/07/22 02:50:50 - mmengine - INFO - Epoch(train) [4][2300/3757] lr: 1.0000e-02 eta: 2 days, 19:05:57 time: 0.6394 data_time: 0.0221 memory: 17350 grad_norm: 5.7680 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9316 loss: 2.9316 2022/07/22 02:51:03 - mmengine - INFO - Epoch(train) [4][2320/3757] lr: 1.0000e-02 eta: 2 days, 19:05:42 time: 0.6642 data_time: 0.0222 memory: 17350 grad_norm: 5.9833 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5919 loss: 2.5919 2022/07/22 02:51:16 - mmengine - INFO - Epoch(train) [4][2340/3757] lr: 1.0000e-02 eta: 2 days, 19:05:12 time: 0.6341 data_time: 0.0256 memory: 17350 grad_norm: 5.6737 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6001 loss: 2.6001 2022/07/22 02:51:31 - mmengine - INFO - Epoch(train) [4][2360/3757] lr: 1.0000e-02 eta: 2 days, 19:05:47 time: 0.7582 data_time: 0.0215 memory: 17350 grad_norm: 5.5879 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5760 loss: 2.5760 2022/07/22 02:51:42 - mmengine - INFO - Epoch(train) [4][2380/3757] lr: 1.0000e-02 eta: 2 days, 19:04:46 time: 0.5781 data_time: 0.0238 memory: 17350 grad_norm: 5.6788 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4798 loss: 2.4798 2022/07/22 02:51:56 - mmengine - INFO - Epoch(train) [4][2400/3757] lr: 1.0000e-02 eta: 2 days, 19:04:50 time: 0.6989 data_time: 0.0207 memory: 17350 grad_norm: 5.6858 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5772 loss: 2.5772 2022/07/22 02:52:08 - mmengine - INFO - Epoch(train) [4][2420/3757] lr: 1.0000e-02 eta: 2 days, 19:03:59 time: 0.5967 data_time: 0.0232 memory: 17350 grad_norm: 5.6421 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8702 loss: 2.8702 2022/07/22 02:52:23 - mmengine - INFO - Epoch(train) [4][2440/3757] lr: 1.0000e-02 eta: 2 days, 19:04:29 time: 0.7480 data_time: 0.0210 memory: 17350 grad_norm: 5.7125 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5879 loss: 2.5879 2022/07/22 02:52:36 - mmengine - INFO - Epoch(train) [4][2460/3757] lr: 1.0000e-02 eta: 2 days, 19:03:56 time: 0.6310 data_time: 0.0267 memory: 17350 grad_norm: 5.6602 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7790 loss: 2.7790 2022/07/22 02:52:50 - mmengine - INFO - Epoch(train) [4][2480/3757] lr: 1.0000e-02 eta: 2 days, 19:04:11 time: 0.7211 data_time: 0.0239 memory: 17350 grad_norm: 5.7357 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.8773 loss: 2.8773 2022/07/22 02:53:01 - mmengine - INFO - Epoch(train) [4][2500/3757] lr: 1.0000e-02 eta: 2 days, 19:02:55 time: 0.5463 data_time: 0.0244 memory: 17350 grad_norm: 5.7101 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8232 loss: 2.8232 2022/07/22 02:53:16 - mmengine - INFO - Epoch(train) [4][2520/3757] lr: 1.0000e-02 eta: 2 days, 19:03:24 time: 0.7489 data_time: 0.0225 memory: 17350 grad_norm: 5.5771 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8867 loss: 2.8867 2022/07/22 02:53:28 - mmengine - INFO - Epoch(train) [4][2540/3757] lr: 1.0000e-02 eta: 2 days, 19:02:36 time: 0.6011 data_time: 0.0243 memory: 17350 grad_norm: 5.6199 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6534 loss: 2.6534 2022/07/22 02:53:43 - mmengine - INFO - Epoch(train) [4][2560/3757] lr: 1.0000e-02 eta: 2 days, 19:03:08 time: 0.7528 data_time: 0.0217 memory: 17350 grad_norm: 5.5778 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5822 loss: 2.5822 2022/07/22 02:53:55 - mmengine - INFO - Epoch(train) [4][2580/3757] lr: 1.0000e-02 eta: 2 days, 19:02:23 time: 0.6073 data_time: 0.0250 memory: 17350 grad_norm: 5.5825 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5432 loss: 2.5432 2022/07/22 02:54:11 - mmengine - INFO - Epoch(train) [4][2600/3757] lr: 1.0000e-02 eta: 2 days, 19:02:55 time: 0.7537 data_time: 0.0212 memory: 17350 grad_norm: 5.7502 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7660 loss: 2.7660 2022/07/22 02:54:22 - mmengine - INFO - Epoch(train) [4][2620/3757] lr: 1.0000e-02 eta: 2 days, 19:01:53 time: 0.5741 data_time: 0.0241 memory: 17350 grad_norm: 5.8055 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7826 loss: 2.7826 2022/07/22 02:54:37 - mmengine - INFO - Epoch(train) [4][2640/3757] lr: 1.0000e-02 eta: 2 days, 19:02:14 time: 0.7321 data_time: 0.0219 memory: 17350 grad_norm: 5.7928 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9478 loss: 2.9478 2022/07/22 02:54:49 - mmengine - INFO - Epoch(train) [4][2660/3757] lr: 1.0000e-02 eta: 2 days, 19:01:31 time: 0.6091 data_time: 0.0223 memory: 17350 grad_norm: 5.5616 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5300 loss: 2.5300 2022/07/22 02:55:04 - mmengine - INFO - Epoch(train) [4][2680/3757] lr: 1.0000e-02 eta: 2 days, 19:01:54 time: 0.7373 data_time: 0.0211 memory: 17350 grad_norm: 5.4825 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6014 loss: 2.6014 2022/07/22 02:55:15 - mmengine - INFO - Epoch(train) [4][2700/3757] lr: 1.0000e-02 eta: 2 days, 19:01:02 time: 0.5928 data_time: 0.0224 memory: 17350 grad_norm: 5.7041 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7827 loss: 2.7827 2022/07/22 02:55:29 - mmengine - INFO - Epoch(train) [4][2720/3757] lr: 1.0000e-02 eta: 2 days, 19:01:07 time: 0.7018 data_time: 0.0199 memory: 17350 grad_norm: 5.4729 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5258 loss: 2.5258 2022/07/22 02:55:35 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 02:55:41 - mmengine - INFO - Epoch(train) [4][2740/3757] lr: 1.0000e-02 eta: 2 days, 19:00:12 time: 0.5867 data_time: 0.0354 memory: 17350 grad_norm: 5.6490 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2904 loss: 2.2904 2022/07/22 02:55:55 - mmengine - INFO - Epoch(train) [4][2760/3757] lr: 1.0000e-02 eta: 2 days, 19:00:21 time: 0.7110 data_time: 0.0456 memory: 17350 grad_norm: 5.6529 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7551 loss: 2.7551 2022/07/22 02:56:08 - mmengine - INFO - Epoch(train) [4][2780/3757] lr: 1.0000e-02 eta: 2 days, 18:59:35 time: 0.6039 data_time: 0.0478 memory: 17350 grad_norm: 5.6615 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4605 loss: 2.4605 2022/07/22 02:56:22 - mmengine - INFO - Epoch(train) [4][2800/3757] lr: 1.0000e-02 eta: 2 days, 18:59:41 time: 0.7040 data_time: 0.0788 memory: 17350 grad_norm: 5.5512 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5879 loss: 2.5879 2022/07/22 02:56:35 - mmengine - INFO - Epoch(train) [4][2820/3757] lr: 1.0000e-02 eta: 2 days, 18:59:19 time: 0.6497 data_time: 0.1239 memory: 17350 grad_norm: 5.7762 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5711 loss: 2.5711 2022/07/22 02:56:48 - mmengine - INFO - Epoch(train) [4][2840/3757] lr: 1.0000e-02 eta: 2 days, 18:59:00 time: 0.6553 data_time: 0.2176 memory: 17350 grad_norm: 5.5920 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9093 loss: 2.9093 2022/07/22 02:57:03 - mmengine - INFO - Epoch(train) [4][2860/3757] lr: 1.0000e-02 eta: 2 days, 18:59:40 time: 0.7715 data_time: 0.4412 memory: 17350 grad_norm: 5.5422 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6305 loss: 2.6305 2022/07/22 02:57:15 - mmengine - INFO - Epoch(train) [4][2880/3757] lr: 1.0000e-02 eta: 2 days, 18:58:41 time: 0.5772 data_time: 0.2427 memory: 17350 grad_norm: 5.7496 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8475 loss: 2.8475 2022/07/22 02:57:30 - mmengine - INFO - Epoch(train) [4][2900/3757] lr: 1.0000e-02 eta: 2 days, 18:59:27 time: 0.7842 data_time: 0.4491 memory: 17350 grad_norm: 5.7621 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9559 loss: 2.9559 2022/07/22 02:57:41 - mmengine - INFO - Epoch(train) [4][2920/3757] lr: 1.0000e-02 eta: 2 days, 18:58:09 time: 0.5408 data_time: 0.2098 memory: 17350 grad_norm: 5.5525 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7694 loss: 2.7694 2022/07/22 02:57:56 - mmengine - INFO - Epoch(train) [4][2940/3757] lr: 1.0000e-02 eta: 2 days, 18:58:29 time: 0.7320 data_time: 0.4018 memory: 17350 grad_norm: 5.7465 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7354 loss: 2.7354 2022/07/22 02:58:08 - mmengine - INFO - Epoch(train) [4][2960/3757] lr: 1.0000e-02 eta: 2 days, 18:57:40 time: 0.5955 data_time: 0.2644 memory: 17350 grad_norm: 5.7746 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7315 loss: 2.7315 2022/07/22 02:58:22 - mmengine - INFO - Epoch(train) [4][2980/3757] lr: 1.0000e-02 eta: 2 days, 18:57:52 time: 0.7173 data_time: 0.3840 memory: 17350 grad_norm: 5.6554 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5813 loss: 2.5813 2022/07/22 02:58:34 - mmengine - INFO - Epoch(train) [4][3000/3757] lr: 1.0000e-02 eta: 2 days, 18:57:12 time: 0.6147 data_time: 0.2852 memory: 17350 grad_norm: 5.7404 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.6254 loss: 2.6254 2022/07/22 02:58:48 - mmengine - INFO - Epoch(train) [4][3020/3757] lr: 1.0000e-02 eta: 2 days, 18:57:12 time: 0.6937 data_time: 0.3404 memory: 17350 grad_norm: 5.5465 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6135 loss: 2.6135 2022/07/22 02:59:01 - mmengine - INFO - Epoch(train) [4][3040/3757] lr: 1.0000e-02 eta: 2 days, 18:56:39 time: 0.6284 data_time: 0.2492 memory: 17350 grad_norm: 5.6102 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3356 loss: 2.3356 2022/07/22 02:59:16 - mmengine - INFO - Epoch(train) [4][3060/3757] lr: 1.0000e-02 eta: 2 days, 18:57:01 time: 0.7357 data_time: 0.3736 memory: 17350 grad_norm: 5.6075 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7926 loss: 2.7926 2022/07/22 02:59:28 - mmengine - INFO - Epoch(train) [4][3080/3757] lr: 1.0000e-02 eta: 2 days, 18:56:19 time: 0.6104 data_time: 0.1952 memory: 17350 grad_norm: 5.5575 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8377 loss: 2.8377 2022/07/22 02:59:42 - mmengine - INFO - Epoch(train) [4][3100/3757] lr: 1.0000e-02 eta: 2 days, 18:56:29 time: 0.7133 data_time: 0.2927 memory: 17350 grad_norm: 5.6226 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7288 loss: 2.7288 2022/07/22 02:59:54 - mmengine - INFO - Epoch(train) [4][3120/3757] lr: 1.0000e-02 eta: 2 days, 18:55:53 time: 0.6222 data_time: 0.2115 memory: 17350 grad_norm: 5.4897 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2960 loss: 2.2960 2022/07/22 03:00:09 - mmengine - INFO - Epoch(train) [4][3140/3757] lr: 1.0000e-02 eta: 2 days, 18:56:09 time: 0.7257 data_time: 0.1891 memory: 17350 grad_norm: 5.7084 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8573 loss: 2.8573 2022/07/22 03:00:22 - mmengine - INFO - Epoch(train) [4][3160/3757] lr: 1.0000e-02 eta: 2 days, 18:55:51 time: 0.6572 data_time: 0.0372 memory: 17350 grad_norm: 5.6828 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5361 loss: 2.5361 2022/07/22 03:00:35 - mmengine - INFO - Epoch(train) [4][3180/3757] lr: 1.0000e-02 eta: 2 days, 18:55:27 time: 0.6447 data_time: 0.0243 memory: 17350 grad_norm: 5.6586 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7181 loss: 2.7181 2022/07/22 03:00:49 - mmengine - INFO - Epoch(train) [4][3200/3757] lr: 1.0000e-02 eta: 2 days, 18:55:26 time: 0.6934 data_time: 0.0227 memory: 17350 grad_norm: 5.5318 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5777 loss: 2.5777 2022/07/22 03:01:01 - mmengine - INFO - Epoch(train) [4][3220/3757] lr: 1.0000e-02 eta: 2 days, 18:54:49 time: 0.6188 data_time: 0.0235 memory: 17350 grad_norm: 5.5628 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5590 loss: 2.5590 2022/07/22 03:01:16 - mmengine - INFO - Epoch(train) [4][3240/3757] lr: 1.0000e-02 eta: 2 days, 18:55:08 time: 0.7310 data_time: 0.0253 memory: 17350 grad_norm: 5.5202 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5124 loss: 2.5124 2022/07/22 03:01:28 - mmengine - INFO - Epoch(train) [4][3260/3757] lr: 1.0000e-02 eta: 2 days, 18:54:34 time: 0.6252 data_time: 0.0194 memory: 17350 grad_norm: 5.5338 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5898 loss: 2.5898 2022/07/22 03:01:43 - mmengine - INFO - Epoch(train) [4][3280/3757] lr: 1.0000e-02 eta: 2 days, 18:54:41 time: 0.7092 data_time: 0.0217 memory: 17350 grad_norm: 5.6309 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9414 loss: 2.9414 2022/07/22 03:01:55 - mmengine - INFO - Epoch(train) [4][3300/3757] lr: 1.0000e-02 eta: 2 days, 18:54:09 time: 0.6287 data_time: 0.0226 memory: 17350 grad_norm: 5.4819 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5570 loss: 2.5570 2022/07/22 03:02:09 - mmengine - INFO - Epoch(train) [4][3320/3757] lr: 1.0000e-02 eta: 2 days, 18:54:11 time: 0.6987 data_time: 0.0219 memory: 17350 grad_norm: 5.5772 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5651 loss: 2.5651 2022/07/22 03:02:21 - mmengine - INFO - Epoch(train) [4][3340/3757] lr: 1.0000e-02 eta: 2 days, 18:53:21 time: 0.5932 data_time: 0.0242 memory: 17350 grad_norm: 5.7009 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7662 loss: 2.7662 2022/07/22 03:02:36 - mmengine - INFO - Epoch(train) [4][3360/3757] lr: 1.0000e-02 eta: 2 days, 18:53:44 time: 0.7399 data_time: 0.0216 memory: 17350 grad_norm: 5.5619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0779 loss: 3.0779 2022/07/22 03:02:48 - mmengine - INFO - Epoch(train) [4][3380/3757] lr: 1.0000e-02 eta: 2 days, 18:53:08 time: 0.6217 data_time: 0.0234 memory: 17350 grad_norm: 5.7172 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9086 loss: 2.9086 2022/07/22 03:03:03 - mmengine - INFO - Epoch(train) [4][3400/3757] lr: 1.0000e-02 eta: 2 days, 18:53:26 time: 0.7289 data_time: 0.0217 memory: 17350 grad_norm: 5.4974 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5786 loss: 2.5786 2022/07/22 03:03:14 - mmengine - INFO - Epoch(train) [4][3420/3757] lr: 1.0000e-02 eta: 2 days, 18:52:30 time: 0.5804 data_time: 0.0220 memory: 17350 grad_norm: 5.7723 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6536 loss: 2.6536 2022/07/22 03:03:28 - mmengine - INFO - Epoch(train) [4][3440/3757] lr: 1.0000e-02 eta: 2 days, 18:52:22 time: 0.6784 data_time: 0.0218 memory: 17350 grad_norm: 5.7471 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9764 loss: 2.9764 2022/07/22 03:03:41 - mmengine - INFO - Epoch(train) [4][3460/3757] lr: 1.0000e-02 eta: 2 days, 18:51:59 time: 0.6468 data_time: 0.0211 memory: 17350 grad_norm: 5.6314 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7737 loss: 2.7737 2022/07/22 03:03:55 - mmengine - INFO - Epoch(train) [4][3480/3757] lr: 1.0000e-02 eta: 2 days, 18:52:08 time: 0.7119 data_time: 0.0229 memory: 17350 grad_norm: 5.7375 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8098 loss: 2.8098 2022/07/22 03:04:07 - mmengine - INFO - Epoch(train) [4][3500/3757] lr: 1.0000e-02 eta: 2 days, 18:51:18 time: 0.5932 data_time: 0.0246 memory: 17350 grad_norm: 5.5472 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8598 loss: 2.8598 2022/07/22 03:04:22 - mmengine - INFO - Epoch(train) [4][3520/3757] lr: 1.0000e-02 eta: 2 days, 18:51:37 time: 0.7322 data_time: 0.0209 memory: 17350 grad_norm: 5.6184 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6332 loss: 2.6332 2022/07/22 03:04:33 - mmengine - INFO - Epoch(train) [4][3540/3757] lr: 1.0000e-02 eta: 2 days, 18:50:40 time: 0.5767 data_time: 0.0249 memory: 17350 grad_norm: 5.6867 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4388 loss: 2.4388 2022/07/22 03:04:48 - mmengine - INFO - Epoch(train) [4][3560/3757] lr: 1.0000e-02 eta: 2 days, 18:51:07 time: 0.7513 data_time: 0.0212 memory: 17350 grad_norm: 5.7749 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5438 loss: 2.5438 2022/07/22 03:05:00 - mmengine - INFO - Epoch(train) [4][3580/3757] lr: 1.0000e-02 eta: 2 days, 18:50:25 time: 0.6081 data_time: 0.0231 memory: 17350 grad_norm: 5.5523 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7321 loss: 2.7321 2022/07/22 03:05:16 - mmengine - INFO - Epoch(train) [4][3600/3757] lr: 1.0000e-02 eta: 2 days, 18:51:04 time: 0.7736 data_time: 0.0222 memory: 17350 grad_norm: 5.5780 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6641 loss: 2.6641 2022/07/22 03:05:28 - mmengine - INFO - Epoch(train) [4][3620/3757] lr: 1.0000e-02 eta: 2 days, 18:50:12 time: 0.5872 data_time: 0.0224 memory: 17350 grad_norm: 5.6974 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7713 loss: 2.7713 2022/07/22 03:05:42 - mmengine - INFO - Epoch(train) [4][3640/3757] lr: 1.0000e-02 eta: 2 days, 18:50:35 time: 0.7417 data_time: 0.0228 memory: 17350 grad_norm: 5.6020 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5590 loss: 2.5590 2022/07/22 03:05:54 - mmengine - INFO - Epoch(train) [4][3660/3757] lr: 1.0000e-02 eta: 2 days, 18:49:33 time: 0.5671 data_time: 0.0225 memory: 17350 grad_norm: 5.6339 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7609 loss: 2.7609 2022/07/22 03:06:09 - mmengine - INFO - Epoch(train) [4][3680/3757] lr: 1.0000e-02 eta: 2 days, 18:50:02 time: 0.7532 data_time: 0.0274 memory: 17350 grad_norm: 5.7231 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5484 loss: 2.5484 2022/07/22 03:06:21 - mmengine - INFO - Epoch(train) [4][3700/3757] lr: 1.0000e-02 eta: 2 days, 18:49:24 time: 0.6161 data_time: 0.0332 memory: 17350 grad_norm: 5.7261 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5923 loss: 2.5923 2022/07/22 03:06:35 - mmengine - INFO - Epoch(train) [4][3720/3757] lr: 1.0000e-02 eta: 2 days, 18:49:14 time: 0.6736 data_time: 0.1007 memory: 17350 grad_norm: 5.6334 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6653 loss: 2.6653 2022/07/22 03:06:41 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 03:06:48 - mmengine - INFO - Epoch(train) [4][3740/3757] lr: 1.0000e-02 eta: 2 days, 18:49:04 time: 0.6737 data_time: 0.1323 memory: 17350 grad_norm: 5.4965 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4447 loss: 2.4447 2022/07/22 03:06:56 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 03:06:56 - mmengine - INFO - Epoch(train) [4][3757/3757] lr: 1.0000e-02 eta: 2 days, 18:49:04 time: 0.4907 data_time: 0.0685 memory: 17350 grad_norm: 5.5955 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.3784 loss: 2.3784 2022/07/22 03:07:14 - mmengine - INFO - Epoch(val) [4][20/310] eta: 0:04:11 time: 0.8657 data_time: 0.7523 memory: 3406 2022/07/22 03:07:25 - mmengine - INFO - Epoch(val) [4][40/310] eta: 0:02:32 time: 0.5638 data_time: 0.4523 memory: 3406 2022/07/22 03:07:39 - mmengine - INFO - Epoch(val) [4][60/310] eta: 0:02:52 time: 0.6908 data_time: 0.5760 memory: 3406 2022/07/22 03:07:52 - mmengine - INFO - Epoch(val) [4][80/310] eta: 0:02:34 time: 0.6725 data_time: 0.5600 memory: 3406 2022/07/22 03:08:05 - mmengine - INFO - Epoch(val) [4][100/310] eta: 0:02:11 time: 0.6272 data_time: 0.5136 memory: 3406 2022/07/22 03:08:17 - mmengine - INFO - Epoch(val) [4][120/310] eta: 0:01:56 time: 0.6131 data_time: 0.5005 memory: 3406 2022/07/22 03:08:32 - mmengine - INFO - Epoch(val) [4][140/310] eta: 0:02:03 time: 0.7279 data_time: 0.6148 memory: 3406 2022/07/22 03:08:45 - mmengine - INFO - Epoch(val) [4][160/310] eta: 0:01:37 time: 0.6492 data_time: 0.5382 memory: 3406 2022/07/22 03:08:58 - mmengine - INFO - Epoch(val) [4][180/310] eta: 0:01:25 time: 0.6546 data_time: 0.5428 memory: 3406 2022/07/22 03:09:11 - mmengine - INFO - Epoch(val) [4][200/310] eta: 0:01:15 time: 0.6830 data_time: 0.5705 memory: 3406 2022/07/22 03:09:24 - mmengine - INFO - Epoch(val) [4][220/310] eta: 0:00:56 time: 0.6292 data_time: 0.5169 memory: 3406 2022/07/22 03:09:37 - mmengine - INFO - Epoch(val) [4][240/310] eta: 0:00:46 time: 0.6676 data_time: 0.5551 memory: 3406 2022/07/22 03:09:51 - mmengine - INFO - Epoch(val) [4][260/310] eta: 0:00:33 time: 0.6666 data_time: 0.5515 memory: 3406 2022/07/22 03:10:04 - mmengine - INFO - Epoch(val) [4][280/310] eta: 0:00:19 time: 0.6661 data_time: 0.5516 memory: 3406 2022/07/22 03:10:18 - mmengine - INFO - Epoch(val) [4][300/310] eta: 0:00:06 time: 0.6782 data_time: 0.5647 memory: 3406 2022/07/22 03:10:24 - mmengine - INFO - Epoch(val) [4][310/310] acc/top1: 0.4384 acc/top5: 0.7175 acc/mean1: 0.4382 2022/07/22 03:10:24 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_4.pth is removed 2022/07/22 03:10:27 - mmengine - INFO - The best checkpoint with 0.4384 acc/top1 at 5 epoch is saved to best_acc/top1_epoch_5.pth. 2022/07/22 03:10:44 - mmengine - INFO - Epoch(train) [5][20/3757] lr: 1.0000e-02 eta: 2 days, 18:45:33 time: 0.8466 data_time: 0.5098 memory: 17350 grad_norm: 5.6104 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6367 loss: 2.6367 2022/07/22 03:10:57 - mmengine - INFO - Epoch(train) [5][40/3757] lr: 1.0000e-02 eta: 2 days, 18:45:05 time: 0.6361 data_time: 0.3068 memory: 17350 grad_norm: 5.7470 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4693 loss: 2.4693 2022/07/22 03:11:13 - mmengine - INFO - Epoch(train) [5][60/3757] lr: 1.0000e-02 eta: 2 days, 18:45:44 time: 0.7745 data_time: 0.4348 memory: 17350 grad_norm: 5.6876 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5843 loss: 2.5843 2022/07/22 03:11:23 - mmengine - INFO - Epoch(train) [5][80/3757] lr: 1.0000e-02 eta: 2 days, 18:44:17 time: 0.5116 data_time: 0.1820 memory: 17350 grad_norm: 5.6030 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6958 loss: 2.6958 2022/07/22 03:11:37 - mmengine - INFO - Epoch(train) [5][100/3757] lr: 1.0000e-02 eta: 2 days, 18:44:13 time: 0.6875 data_time: 0.3534 memory: 17350 grad_norm: 5.4907 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4104 loss: 2.4104 2022/07/22 03:11:49 - mmengine - INFO - Epoch(train) [5][120/3757] lr: 1.0000e-02 eta: 2 days, 18:43:30 time: 0.6032 data_time: 0.2758 memory: 17350 grad_norm: 5.7127 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4914 loss: 2.4914 2022/07/22 03:12:03 - mmengine - INFO - Epoch(train) [5][140/3757] lr: 1.0000e-02 eta: 2 days, 18:43:42 time: 0.7203 data_time: 0.3697 memory: 17350 grad_norm: 5.6580 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5011 loss: 2.5011 2022/07/22 03:12:15 - mmengine - INFO - Epoch(train) [5][160/3757] lr: 1.0000e-02 eta: 2 days, 18:42:58 time: 0.6007 data_time: 0.2674 memory: 17350 grad_norm: 5.7104 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5457 loss: 2.5457 2022/07/22 03:12:30 - mmengine - INFO - Epoch(train) [5][180/3757] lr: 1.0000e-02 eta: 2 days, 18:43:25 time: 0.7515 data_time: 0.4281 memory: 17350 grad_norm: 5.6959 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5563 loss: 2.5563 2022/07/22 03:12:43 - mmengine - INFO - Epoch(train) [5][200/3757] lr: 1.0000e-02 eta: 2 days, 18:42:50 time: 0.6208 data_time: 0.2927 memory: 17350 grad_norm: 5.6178 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6925 loss: 2.6925 2022/07/22 03:12:57 - mmengine - INFO - Epoch(train) [5][220/3757] lr: 1.0000e-02 eta: 2 days, 18:42:59 time: 0.7131 data_time: 0.3924 memory: 17350 grad_norm: 5.6625 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8580 loss: 2.8580 2022/07/22 03:13:09 - mmengine - INFO - Epoch(train) [5][240/3757] lr: 1.0000e-02 eta: 2 days, 18:42:08 time: 0.5869 data_time: 0.2593 memory: 17350 grad_norm: 5.4515 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5010 loss: 2.5010 2022/07/22 03:13:23 - mmengine - INFO - Epoch(train) [5][260/3757] lr: 1.0000e-02 eta: 2 days, 18:42:24 time: 0.7277 data_time: 0.4011 memory: 17350 grad_norm: 5.6410 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5669 loss: 2.5669 2022/07/22 03:13:36 - mmengine - INFO - Epoch(train) [5][280/3757] lr: 1.0000e-02 eta: 2 days, 18:41:51 time: 0.6239 data_time: 0.3035 memory: 17350 grad_norm: 5.6056 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5274 loss: 2.5274 2022/07/22 03:13:50 - mmengine - INFO - Epoch(train) [5][300/3757] lr: 1.0000e-02 eta: 2 days, 18:42:01 time: 0.7161 data_time: 0.3931 memory: 17350 grad_norm: 5.6685 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3680 loss: 2.3680 2022/07/22 03:14:02 - mmengine - INFO - Epoch(train) [5][320/3757] lr: 1.0000e-02 eta: 2 days, 18:41:20 time: 0.6085 data_time: 0.2855 memory: 17350 grad_norm: 5.8101 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6443 loss: 2.6443 2022/07/22 03:14:17 - mmengine - INFO - Epoch(train) [5][340/3757] lr: 1.0000e-02 eta: 2 days, 18:41:33 time: 0.7215 data_time: 0.2917 memory: 17350 grad_norm: 5.7019 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7595 loss: 2.7595 2022/07/22 03:14:29 - mmengine - INFO - Epoch(train) [5][360/3757] lr: 1.0000e-02 eta: 2 days, 18:41:05 time: 0.6351 data_time: 0.2202 memory: 17350 grad_norm: 5.4740 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4846 loss: 2.4846 2022/07/22 03:14:43 - mmengine - INFO - Epoch(train) [5][380/3757] lr: 1.0000e-02 eta: 2 days, 18:40:58 time: 0.6803 data_time: 0.2841 memory: 17350 grad_norm: 5.5154 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4981 loss: 2.4981 2022/07/22 03:14:56 - mmengine - INFO - Epoch(train) [5][400/3757] lr: 1.0000e-02 eta: 2 days, 18:40:46 time: 0.6695 data_time: 0.3047 memory: 17350 grad_norm: 5.5476 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6055 loss: 2.6055 2022/07/22 03:15:10 - mmengine - INFO - Epoch(train) [5][420/3757] lr: 1.0000e-02 eta: 2 days, 18:40:40 time: 0.6826 data_time: 0.3450 memory: 17350 grad_norm: 5.4785 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9094 loss: 2.9094 2022/07/22 03:15:24 - mmengine - INFO - Epoch(train) [5][440/3757] lr: 1.0000e-02 eta: 2 days, 18:40:51 time: 0.7165 data_time: 0.3815 memory: 17350 grad_norm: 5.5122 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7719 loss: 2.7719 2022/07/22 03:15:36 - mmengine - INFO - Epoch(train) [5][460/3757] lr: 1.0000e-02 eta: 2 days, 18:40:13 time: 0.6139 data_time: 0.2875 memory: 17350 grad_norm: 5.4075 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3395 loss: 2.3395 2022/07/22 03:15:50 - mmengine - INFO - Epoch(train) [5][480/3757] lr: 1.0000e-02 eta: 2 days, 18:40:07 time: 0.6816 data_time: 0.3576 memory: 17350 grad_norm: 5.6587 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5218 loss: 2.5218 2022/07/22 03:16:04 - mmengine - INFO - Epoch(train) [5][500/3757] lr: 1.0000e-02 eta: 2 days, 18:39:56 time: 0.6714 data_time: 0.3419 memory: 17350 grad_norm: 5.6776 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4560 loss: 2.4560 2022/07/22 03:16:17 - mmengine - INFO - Epoch(train) [5][520/3757] lr: 1.0000e-02 eta: 2 days, 18:39:39 time: 0.6594 data_time: 0.3265 memory: 17350 grad_norm: 5.5869 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6371 loss: 2.6371 2022/07/22 03:16:30 - mmengine - INFO - Epoch(train) [5][540/3757] lr: 1.0000e-02 eta: 2 days, 18:39:20 time: 0.6531 data_time: 0.3277 memory: 17350 grad_norm: 5.6522 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3766 loss: 2.3766 2022/07/22 03:16:45 - mmengine - INFO - Epoch(train) [5][560/3757] lr: 1.0000e-02 eta: 2 days, 18:39:43 time: 0.7463 data_time: 0.4169 memory: 17350 grad_norm: 5.4957 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8588 loss: 2.8588 2022/07/22 03:16:57 - mmengine - INFO - Epoch(train) [5][580/3757] lr: 1.0000e-02 eta: 2 days, 18:39:07 time: 0.6165 data_time: 0.2924 memory: 17350 grad_norm: 5.6036 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5869 loss: 2.5869 2022/07/22 03:17:11 - mmengine - INFO - Epoch(train) [5][600/3757] lr: 1.0000e-02 eta: 2 days, 18:38:57 time: 0.6737 data_time: 0.3394 memory: 17350 grad_norm: 5.7023 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7812 loss: 2.7812 2022/07/22 03:17:24 - mmengine - INFO - Epoch(train) [5][620/3757] lr: 1.0000e-02 eta: 2 days, 18:38:35 time: 0.6485 data_time: 0.2520 memory: 17350 grad_norm: 5.7507 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6433 loss: 2.6433 2022/07/22 03:17:37 - mmengine - INFO - Epoch(train) [5][640/3757] lr: 1.0000e-02 eta: 2 days, 18:38:34 time: 0.6925 data_time: 0.2353 memory: 17350 grad_norm: 5.6682 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6705 loss: 2.6705 2022/07/22 03:17:50 - mmengine - INFO - Epoch(train) [5][660/3757] lr: 1.0000e-02 eta: 2 days, 18:38:11 time: 0.6454 data_time: 0.2552 memory: 17350 grad_norm: 5.6911 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5939 loss: 2.5939 2022/07/22 03:18:04 - mmengine - INFO - Epoch(train) [5][680/3757] lr: 1.0000e-02 eta: 2 days, 18:38:11 time: 0.6960 data_time: 0.3191 memory: 17350 grad_norm: 5.6856 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6991 loss: 2.6991 2022/07/22 03:18:17 - mmengine - INFO - Epoch(train) [5][700/3757] lr: 1.0000e-02 eta: 2 days, 18:37:52 time: 0.6538 data_time: 0.2456 memory: 17350 grad_norm: 5.8344 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8451 loss: 2.8451 2022/07/22 03:18:32 - mmengine - INFO - Epoch(train) [5][720/3757] lr: 1.0000e-02 eta: 2 days, 18:38:13 time: 0.7403 data_time: 0.3805 memory: 17350 grad_norm: 5.5007 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7156 loss: 2.7156 2022/07/22 03:18:44 - mmengine - INFO - Epoch(train) [5][740/3757] lr: 1.0000e-02 eta: 2 days, 18:37:27 time: 0.5950 data_time: 0.2193 memory: 17350 grad_norm: 5.5256 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7207 loss: 2.7207 2022/07/22 03:18:58 - mmengine - INFO - Epoch(train) [5][760/3757] lr: 1.0000e-02 eta: 2 days, 18:37:19 time: 0.6785 data_time: 0.2693 memory: 17350 grad_norm: 5.5988 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4045 loss: 2.4045 2022/07/22 03:19:12 - mmengine - INFO - Epoch(train) [5][780/3757] lr: 1.0000e-02 eta: 2 days, 18:37:24 time: 0.7066 data_time: 0.0791 memory: 17350 grad_norm: 5.6402 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7673 loss: 2.7673 2022/07/22 03:19:24 - mmengine - INFO - Epoch(train) [5][800/3757] lr: 1.0000e-02 eta: 2 days, 18:36:48 time: 0.6161 data_time: 0.0220 memory: 17350 grad_norm: 5.7780 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5603 loss: 2.5603 2022/07/22 03:19:39 - mmengine - INFO - Epoch(train) [5][820/3757] lr: 1.0000e-02 eta: 2 days, 18:37:08 time: 0.7403 data_time: 0.0216 memory: 17350 grad_norm: 5.7346 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5311 loss: 2.5311 2022/07/22 03:19:50 - mmengine - INFO - Epoch(train) [5][840/3757] lr: 1.0000e-02 eta: 2 days, 18:36:00 time: 0.5447 data_time: 0.0219 memory: 17350 grad_norm: 5.7113 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3573 loss: 2.3573 2022/07/22 03:20:05 - mmengine - INFO - Epoch(train) [5][860/3757] lr: 1.0000e-02 eta: 2 days, 18:36:25 time: 0.7525 data_time: 0.0994 memory: 17350 grad_norm: 5.6860 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6487 loss: 2.6487 2022/07/22 03:20:17 - mmengine - INFO - Epoch(train) [5][880/3757] lr: 1.0000e-02 eta: 2 days, 18:35:53 time: 0.6258 data_time: 0.1169 memory: 17350 grad_norm: 5.7088 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5040 loss: 2.5040 2022/07/22 03:20:31 - mmengine - INFO - Epoch(train) [5][900/3757] lr: 1.0000e-02 eta: 2 days, 18:35:51 time: 0.6899 data_time: 0.0419 memory: 17350 grad_norm: 5.7058 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4224 loss: 2.4224 2022/07/22 03:20:43 - mmengine - INFO - Epoch(train) [5][920/3757] lr: 1.0000e-02 eta: 2 days, 18:35:13 time: 0.6125 data_time: 0.0218 memory: 17350 grad_norm: 5.8679 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6477 loss: 2.6477 2022/07/22 03:20:58 - mmengine - INFO - Epoch(train) [5][940/3757] lr: 1.0000e-02 eta: 2 days, 18:35:30 time: 0.7342 data_time: 0.0220 memory: 17350 grad_norm: 5.8726 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7833 loss: 2.7833 2022/07/22 03:21:10 - mmengine - INFO - Epoch(train) [5][960/3757] lr: 1.0000e-02 eta: 2 days, 18:34:50 time: 0.6055 data_time: 0.0213 memory: 17350 grad_norm: 5.7096 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4587 loss: 2.4587 2022/07/22 03:21:19 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 03:21:24 - mmengine - INFO - Epoch(train) [5][980/3757] lr: 1.0000e-02 eta: 2 days, 18:34:53 time: 0.7044 data_time: 0.0435 memory: 17350 grad_norm: 5.6195 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6183 loss: 2.6183 2022/07/22 03:21:37 - mmengine - INFO - Epoch(train) [5][1000/3757] lr: 1.0000e-02 eta: 2 days, 18:34:30 time: 0.6439 data_time: 0.0218 memory: 17350 grad_norm: 5.7850 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5923 loss: 2.5923 2022/07/22 03:21:51 - mmengine - INFO - Epoch(train) [5][1020/3757] lr: 1.0000e-02 eta: 2 days, 18:34:19 time: 0.6712 data_time: 0.0203 memory: 17350 grad_norm: 5.6316 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4502 loss: 2.4502 2022/07/22 03:22:04 - mmengine - INFO - Epoch(train) [5][1040/3757] lr: 1.0000e-02 eta: 2 days, 18:34:09 time: 0.6747 data_time: 0.0235 memory: 17350 grad_norm: 5.7405 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4819 loss: 2.4819 2022/07/22 03:22:17 - mmengine - INFO - Epoch(train) [5][1060/3757] lr: 1.0000e-02 eta: 2 days, 18:33:47 time: 0.6454 data_time: 0.1039 memory: 17350 grad_norm: 5.7862 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3798 loss: 2.3798 2022/07/22 03:22:33 - mmengine - INFO - Epoch(train) [5][1080/3757] lr: 1.0000e-02 eta: 2 days, 18:34:26 time: 0.7844 data_time: 0.2479 memory: 17350 grad_norm: 5.5564 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5854 loss: 2.5854 2022/07/22 03:22:44 - mmengine - INFO - Epoch(train) [5][1100/3757] lr: 1.0000e-02 eta: 2 days, 18:33:36 time: 0.5847 data_time: 0.2261 memory: 17350 grad_norm: 5.6791 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5665 loss: 2.5665 2022/07/22 03:22:59 - mmengine - INFO - Epoch(train) [5][1120/3757] lr: 1.0000e-02 eta: 2 days, 18:33:58 time: 0.7454 data_time: 0.3356 memory: 17350 grad_norm: 5.5626 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7133 loss: 2.7133 2022/07/22 03:23:11 - mmengine - INFO - Epoch(train) [5][1140/3757] lr: 1.0000e-02 eta: 2 days, 18:33:17 time: 0.6037 data_time: 0.1900 memory: 17350 grad_norm: 5.7493 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.5681 loss: 2.5681 2022/07/22 03:23:26 - mmengine - INFO - Epoch(train) [5][1160/3757] lr: 1.0000e-02 eta: 2 days, 18:33:45 time: 0.7595 data_time: 0.3363 memory: 17350 grad_norm: 5.6772 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4228 loss: 2.4228 2022/07/22 03:23:38 - mmengine - INFO - Epoch(train) [5][1180/3757] lr: 1.0000e-02 eta: 2 days, 18:33:00 time: 0.5967 data_time: 0.1762 memory: 17350 grad_norm: 5.7208 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6927 loss: 2.6927 2022/07/22 03:23:54 - mmengine - INFO - Epoch(train) [5][1200/3757] lr: 1.0000e-02 eta: 2 days, 18:33:26 time: 0.7551 data_time: 0.2196 memory: 17350 grad_norm: 5.6729 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6660 loss: 2.6660 2022/07/22 03:24:05 - mmengine - INFO - Epoch(train) [5][1220/3757] lr: 1.0000e-02 eta: 2 days, 18:32:24 time: 0.5563 data_time: 0.1725 memory: 17350 grad_norm: 5.4411 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4985 loss: 2.4985 2022/07/22 03:24:19 - mmengine - INFO - Epoch(train) [5][1240/3757] lr: 1.0000e-02 eta: 2 days, 18:32:34 time: 0.7180 data_time: 0.0945 memory: 17350 grad_norm: 5.5742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8293 loss: 2.8293 2022/07/22 03:24:31 - mmengine - INFO - Epoch(train) [5][1260/3757] lr: 1.0000e-02 eta: 2 days, 18:31:44 time: 0.5850 data_time: 0.0624 memory: 17350 grad_norm: 5.5536 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7014 loss: 2.7014 2022/07/22 03:24:45 - mmengine - INFO - Epoch(train) [5][1280/3757] lr: 1.0000e-02 eta: 2 days, 18:31:54 time: 0.7173 data_time: 0.0472 memory: 17350 grad_norm: 5.5232 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7476 loss: 2.7476 2022/07/22 03:24:58 - mmengine - INFO - Epoch(train) [5][1300/3757] lr: 1.0000e-02 eta: 2 days, 18:31:29 time: 0.6400 data_time: 0.1298 memory: 17350 grad_norm: 5.6828 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7407 loss: 2.7407 2022/07/22 03:25:13 - mmengine - INFO - Epoch(train) [5][1320/3757] lr: 1.0000e-02 eta: 2 days, 18:31:55 time: 0.7559 data_time: 0.1102 memory: 17350 grad_norm: 5.8527 top1_acc: 0.0000 top5_acc: 0.8750 loss_cls: 2.9754 loss: 2.9754 2022/07/22 03:25:25 - mmengine - INFO - Epoch(train) [5][1340/3757] lr: 1.0000e-02 eta: 2 days, 18:31:10 time: 0.5955 data_time: 0.0214 memory: 17350 grad_norm: 5.5844 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8223 loss: 2.8223 2022/07/22 03:25:40 - mmengine - INFO - Epoch(train) [5][1360/3757] lr: 1.0000e-02 eta: 2 days, 18:31:25 time: 0.7316 data_time: 0.0189 memory: 17350 grad_norm: 5.4369 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6187 loss: 2.6187 2022/07/22 03:25:52 - mmengine - INFO - Epoch(train) [5][1380/3757] lr: 1.0000e-02 eta: 2 days, 18:30:57 time: 0.6324 data_time: 0.0218 memory: 17350 grad_norm: 5.5641 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6935 loss: 2.6935 2022/07/22 03:26:06 - mmengine - INFO - Epoch(train) [5][1400/3757] lr: 1.0000e-02 eta: 2 days, 18:30:53 time: 0.6879 data_time: 0.0255 memory: 17350 grad_norm: 5.7506 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5453 loss: 2.5453 2022/07/22 03:26:19 - mmengine - INFO - Epoch(train) [5][1420/3757] lr: 1.0000e-02 eta: 2 days, 18:30:32 time: 0.6479 data_time: 0.0569 memory: 17350 grad_norm: 5.6953 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5261 loss: 2.5261 2022/07/22 03:26:33 - mmengine - INFO - Epoch(train) [5][1440/3757] lr: 1.0000e-02 eta: 2 days, 18:30:32 time: 0.6983 data_time: 0.0227 memory: 17350 grad_norm: 5.9386 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4026 loss: 2.4026 2022/07/22 03:26:45 - mmengine - INFO - Epoch(train) [5][1460/3757] lr: 1.0000e-02 eta: 2 days, 18:30:04 time: 0.6317 data_time: 0.0225 memory: 17350 grad_norm: 5.7162 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7938 loss: 2.7938 2022/07/22 03:27:00 - mmengine - INFO - Epoch(train) [5][1480/3757] lr: 1.0000e-02 eta: 2 days, 18:30:09 time: 0.7100 data_time: 0.0249 memory: 17350 grad_norm: 5.5823 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5976 loss: 2.5976 2022/07/22 03:27:12 - mmengine - INFO - Epoch(train) [5][1500/3757] lr: 1.0000e-02 eta: 2 days, 18:29:41 time: 0.6314 data_time: 0.0216 memory: 17350 grad_norm: 5.6036 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1173 loss: 3.1173 2022/07/22 03:27:27 - mmengine - INFO - Epoch(train) [5][1520/3757] lr: 1.0000e-02 eta: 2 days, 18:29:50 time: 0.7190 data_time: 0.0225 memory: 17350 grad_norm: 5.7256 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6674 loss: 2.6674 2022/07/22 03:27:39 - mmengine - INFO - Epoch(train) [5][1540/3757] lr: 1.0000e-02 eta: 2 days, 18:29:13 time: 0.6114 data_time: 0.0224 memory: 17350 grad_norm: 5.6306 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7996 loss: 2.7996 2022/07/22 03:27:53 - mmengine - INFO - Epoch(train) [5][1560/3757] lr: 1.0000e-02 eta: 2 days, 18:29:24 time: 0.7230 data_time: 0.0237 memory: 17350 grad_norm: 5.4783 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4423 loss: 2.4423 2022/07/22 03:28:06 - mmengine - INFO - Epoch(train) [5][1580/3757] lr: 1.0000e-02 eta: 2 days, 18:28:54 time: 0.6287 data_time: 0.0217 memory: 17350 grad_norm: 5.5825 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4692 loss: 2.4692 2022/07/22 03:28:20 - mmengine - INFO - Epoch(train) [5][1600/3757] lr: 1.0000e-02 eta: 2 days, 18:28:51 time: 0.6889 data_time: 0.0231 memory: 17350 grad_norm: 5.6694 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5650 loss: 2.5650 2022/07/22 03:28:33 - mmengine - INFO - Epoch(train) [5][1620/3757] lr: 1.0000e-02 eta: 2 days, 18:28:41 time: 0.6756 data_time: 0.0216 memory: 17350 grad_norm: 5.7408 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4826 loss: 2.4826 2022/07/22 03:28:47 - mmengine - INFO - Epoch(train) [5][1640/3757] lr: 1.0000e-02 eta: 2 days, 18:28:33 time: 0.6772 data_time: 0.0218 memory: 17350 grad_norm: 5.5774 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5144 loss: 2.5144 2022/07/22 03:29:00 - mmengine - INFO - Epoch(train) [5][1660/3757] lr: 1.0000e-02 eta: 2 days, 18:28:26 time: 0.6816 data_time: 0.0233 memory: 17350 grad_norm: 5.6599 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4612 loss: 2.4612 2022/07/22 03:29:13 - mmengine - INFO - Epoch(train) [5][1680/3757] lr: 1.0000e-02 eta: 2 days, 18:28:05 time: 0.6493 data_time: 0.0250 memory: 17350 grad_norm: 5.7667 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8474 loss: 2.8474 2022/07/22 03:29:26 - mmengine - INFO - Epoch(train) [5][1700/3757] lr: 1.0000e-02 eta: 2 days, 18:27:41 time: 0.6411 data_time: 0.0227 memory: 17350 grad_norm: 5.5826 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8073 loss: 2.8073 2022/07/22 03:29:40 - mmengine - INFO - Epoch(train) [5][1720/3757] lr: 1.0000e-02 eta: 2 days, 18:27:47 time: 0.7123 data_time: 0.0223 memory: 17350 grad_norm: 5.7534 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5323 loss: 2.5323 2022/07/22 03:29:53 - mmengine - INFO - Epoch(train) [5][1740/3757] lr: 1.0000e-02 eta: 2 days, 18:27:12 time: 0.6170 data_time: 0.0233 memory: 17350 grad_norm: 5.6857 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5400 loss: 2.5400 2022/07/22 03:30:08 - mmengine - INFO - Epoch(train) [5][1760/3757] lr: 1.0000e-02 eta: 2 days, 18:27:38 time: 0.7580 data_time: 0.0174 memory: 17350 grad_norm: 5.6078 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7891 loss: 2.7891 2022/07/22 03:30:20 - mmengine - INFO - Epoch(train) [5][1780/3757] lr: 1.0000e-02 eta: 2 days, 18:27:04 time: 0.6185 data_time: 0.0226 memory: 17350 grad_norm: 5.5191 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8542 loss: 2.8542 2022/07/22 03:30:34 - mmengine - INFO - Epoch(train) [5][1800/3757] lr: 1.0000e-02 eta: 2 days, 18:26:52 time: 0.6687 data_time: 0.0224 memory: 17350 grad_norm: 5.5599 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5143 loss: 2.5143 2022/07/22 03:30:48 - mmengine - INFO - Epoch(train) [5][1820/3757] lr: 1.0000e-02 eta: 2 days, 18:26:52 time: 0.6991 data_time: 0.0139 memory: 17350 grad_norm: 5.5503 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6054 loss: 2.6054 2022/07/22 03:31:01 - mmengine - INFO - Epoch(train) [5][1840/3757] lr: 1.0000e-02 eta: 2 days, 18:26:44 time: 0.6772 data_time: 0.0236 memory: 17350 grad_norm: 5.7906 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.6437 loss: 2.6437 2022/07/22 03:31:13 - mmengine - INFO - Epoch(train) [5][1860/3757] lr: 1.0000e-02 eta: 2 days, 18:26:06 time: 0.6092 data_time: 0.0222 memory: 17350 grad_norm: 5.5113 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5850 loss: 2.5850 2022/07/22 03:31:27 - mmengine - INFO - Epoch(train) [5][1880/3757] lr: 1.0000e-02 eta: 2 days, 18:26:05 time: 0.6958 data_time: 0.0228 memory: 17350 grad_norm: 5.5245 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8369 loss: 2.8369 2022/07/22 03:31:40 - mmengine - INFO - Epoch(train) [5][1900/3757] lr: 1.0000e-02 eta: 2 days, 18:25:31 time: 0.6185 data_time: 0.0210 memory: 17350 grad_norm: 5.6200 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4760 loss: 2.4760 2022/07/22 03:31:54 - mmengine - INFO - Epoch(train) [5][1920/3757] lr: 1.0000e-02 eta: 2 days, 18:25:32 time: 0.7001 data_time: 0.0237 memory: 17350 grad_norm: 5.5159 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8960 loss: 2.8960 2022/07/22 03:32:06 - mmengine - INFO - Epoch(train) [5][1940/3757] lr: 1.0000e-02 eta: 2 days, 18:25:01 time: 0.6248 data_time: 0.0220 memory: 17350 grad_norm: 5.5165 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.9801 loss: 2.9801 2022/07/22 03:32:19 - mmengine - INFO - Epoch(train) [5][1960/3757] lr: 1.0000e-02 eta: 2 days, 18:24:44 time: 0.6569 data_time: 0.0258 memory: 17350 grad_norm: 5.4731 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5020 loss: 2.5020 2022/07/22 03:32:28 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 03:32:33 - mmengine - INFO - Epoch(train) [5][1980/3757] lr: 1.0000e-02 eta: 2 days, 18:24:33 time: 0.6734 data_time: 0.0212 memory: 17350 grad_norm: 5.5085 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4342 loss: 2.4342 2022/07/22 03:32:46 - mmengine - INFO - Epoch(train) [5][2000/3757] lr: 1.0000e-02 eta: 2 days, 18:24:09 time: 0.6415 data_time: 0.0234 memory: 17350 grad_norm: 5.5438 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8613 loss: 2.8613 2022/07/22 03:32:59 - mmengine - INFO - Epoch(train) [5][2020/3757] lr: 1.0000e-02 eta: 2 days, 18:23:56 time: 0.6670 data_time: 0.0218 memory: 17350 grad_norm: 5.5691 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4293 loss: 2.4293 2022/07/22 03:33:13 - mmengine - INFO - Epoch(train) [5][2040/3757] lr: 1.0000e-02 eta: 2 days, 18:23:51 time: 0.6859 data_time: 0.0210 memory: 17350 grad_norm: 5.5468 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6074 loss: 2.6074 2022/07/22 03:33:25 - mmengine - INFO - Epoch(train) [5][2060/3757] lr: 1.0000e-02 eta: 2 days, 18:23:25 time: 0.6350 data_time: 0.0675 memory: 17350 grad_norm: 5.5902 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4831 loss: 2.4831 2022/07/22 03:33:39 - mmengine - INFO - Epoch(train) [5][2080/3757] lr: 1.0000e-02 eta: 2 days, 18:23:20 time: 0.6874 data_time: 0.0851 memory: 17350 grad_norm: 5.7300 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5324 loss: 2.5324 2022/07/22 03:33:52 - mmengine - INFO - Epoch(train) [5][2100/3757] lr: 1.0000e-02 eta: 2 days, 18:23:00 time: 0.6504 data_time: 0.1024 memory: 17350 grad_norm: 5.7227 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7188 loss: 2.7188 2022/07/22 03:34:05 - mmengine - INFO - Epoch(train) [5][2120/3757] lr: 1.0000e-02 eta: 2 days, 18:22:43 time: 0.6574 data_time: 0.1186 memory: 17350 grad_norm: 5.6275 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3329 loss: 2.3329 2022/07/22 03:34:19 - mmengine - INFO - Epoch(train) [5][2140/3757] lr: 1.0000e-02 eta: 2 days, 18:22:31 time: 0.6689 data_time: 0.1690 memory: 17350 grad_norm: 5.5824 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5909 loss: 2.5909 2022/07/22 03:34:33 - mmengine - INFO - Epoch(train) [5][2160/3757] lr: 1.0000e-02 eta: 2 days, 18:22:27 time: 0.6889 data_time: 0.0833 memory: 17350 grad_norm: 5.6069 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9519 loss: 2.9519 2022/07/22 03:34:46 - mmengine - INFO - Epoch(train) [5][2180/3757] lr: 1.0000e-02 eta: 2 days, 18:22:14 time: 0.6689 data_time: 0.0484 memory: 17350 grad_norm: 5.4154 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5899 loss: 2.5899 2022/07/22 03:35:00 - mmengine - INFO - Epoch(train) [5][2200/3757] lr: 1.0000e-02 eta: 2 days, 18:22:16 time: 0.7016 data_time: 0.0412 memory: 17350 grad_norm: 5.5627 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6645 loss: 2.6645 2022/07/22 03:35:13 - mmengine - INFO - Epoch(train) [5][2220/3757] lr: 1.0000e-02 eta: 2 days, 18:22:03 time: 0.6687 data_time: 0.0361 memory: 17350 grad_norm: 5.4109 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3229 loss: 2.3229 2022/07/22 03:35:27 - mmengine - INFO - Epoch(train) [5][2240/3757] lr: 1.0000e-02 eta: 2 days, 18:22:07 time: 0.7085 data_time: 0.0209 memory: 17350 grad_norm: 5.6852 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2904 loss: 2.2904 2022/07/22 03:35:40 - mmengine - INFO - Epoch(train) [5][2260/3757] lr: 1.0000e-02 eta: 2 days, 18:21:41 time: 0.6361 data_time: 0.0235 memory: 17350 grad_norm: 5.6980 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3455 loss: 2.3455 2022/07/22 03:35:54 - mmengine - INFO - Epoch(train) [5][2280/3757] lr: 1.0000e-02 eta: 2 days, 18:21:39 time: 0.6923 data_time: 0.0216 memory: 17350 grad_norm: 5.4066 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2406 loss: 2.2406 2022/07/22 03:36:07 - mmengine - INFO - Epoch(train) [5][2300/3757] lr: 1.0000e-02 eta: 2 days, 18:21:25 time: 0.6672 data_time: 0.0241 memory: 17350 grad_norm: 5.5121 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2026 loss: 2.2026 2022/07/22 03:36:20 - mmengine - INFO - Epoch(train) [5][2320/3757] lr: 1.0000e-02 eta: 2 days, 18:21:04 time: 0.6479 data_time: 0.0238 memory: 17350 grad_norm: 5.5929 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6723 loss: 2.6723 2022/07/22 03:36:34 - mmengine - INFO - Epoch(train) [5][2340/3757] lr: 1.0000e-02 eta: 2 days, 18:20:58 time: 0.6829 data_time: 0.0606 memory: 17350 grad_norm: 5.4727 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4761 loss: 2.4761 2022/07/22 03:36:46 - mmengine - INFO - Epoch(train) [5][2360/3757] lr: 1.0000e-02 eta: 2 days, 18:20:25 time: 0.6191 data_time: 0.0530 memory: 17350 grad_norm: 5.6856 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8645 loss: 2.8645 2022/07/22 03:37:00 - mmengine - INFO - Epoch(train) [5][2380/3757] lr: 1.0000e-02 eta: 2 days, 18:20:10 time: 0.6631 data_time: 0.0790 memory: 17350 grad_norm: 5.6345 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5181 loss: 2.5181 2022/07/22 03:37:12 - mmengine - INFO - Epoch(train) [5][2400/3757] lr: 1.0000e-02 eta: 2 days, 18:19:46 time: 0.6403 data_time: 0.0565 memory: 17350 grad_norm: 5.6247 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8299 loss: 2.8299 2022/07/22 03:37:27 - mmengine - INFO - Epoch(train) [5][2420/3757] lr: 1.0000e-02 eta: 2 days, 18:19:53 time: 0.7164 data_time: 0.0478 memory: 17350 grad_norm: 5.4843 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6133 loss: 2.6133 2022/07/22 03:37:40 - mmengine - INFO - Epoch(train) [5][2440/3757] lr: 1.0000e-02 eta: 2 days, 18:19:38 time: 0.6629 data_time: 0.0230 memory: 17350 grad_norm: 5.4765 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5111 loss: 2.5111 2022/07/22 03:37:53 - mmengine - INFO - Epoch(train) [5][2460/3757] lr: 1.0000e-02 eta: 2 days, 18:19:27 time: 0.6710 data_time: 0.0216 memory: 17350 grad_norm: 5.6162 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5479 loss: 2.5479 2022/07/22 03:38:07 - mmengine - INFO - Epoch(train) [5][2480/3757] lr: 1.0000e-02 eta: 2 days, 18:19:22 time: 0.6867 data_time: 0.0240 memory: 17350 grad_norm: 5.6478 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6384 loss: 2.6384 2022/07/22 03:38:19 - mmengine - INFO - Epoch(train) [5][2500/3757] lr: 1.0000e-02 eta: 2 days, 18:18:47 time: 0.6134 data_time: 0.0214 memory: 17350 grad_norm: 5.5651 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.9730 loss: 2.9730 2022/07/22 03:38:34 - mmengine - INFO - Epoch(train) [5][2520/3757] lr: 1.0000e-02 eta: 2 days, 18:18:50 time: 0.7075 data_time: 0.0238 memory: 17350 grad_norm: 5.5458 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4281 loss: 2.4281 2022/07/22 03:38:46 - mmengine - INFO - Epoch(train) [5][2540/3757] lr: 1.0000e-02 eta: 2 days, 18:18:22 time: 0.6291 data_time: 0.0175 memory: 17350 grad_norm: 5.6254 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2378 loss: 3.2378 2022/07/22 03:39:00 - mmengine - INFO - Epoch(train) [5][2560/3757] lr: 1.0000e-02 eta: 2 days, 18:18:24 time: 0.7040 data_time: 0.0209 memory: 17350 grad_norm: 5.6522 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7996 loss: 2.7996 2022/07/22 03:39:12 - mmengine - INFO - Epoch(train) [5][2580/3757] lr: 1.0000e-02 eta: 2 days, 18:17:34 time: 0.5765 data_time: 0.0231 memory: 17350 grad_norm: 5.4752 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8489 loss: 2.8489 2022/07/22 03:39:26 - mmengine - INFO - Epoch(train) [5][2600/3757] lr: 1.0000e-02 eta: 2 days, 18:17:43 time: 0.7236 data_time: 0.0220 memory: 17350 grad_norm: 5.6792 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6928 loss: 2.6928 2022/07/22 03:39:39 - mmengine - INFO - Epoch(train) [5][2620/3757] lr: 1.0000e-02 eta: 2 days, 18:17:18 time: 0.6365 data_time: 0.0248 memory: 17350 grad_norm: 5.4482 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5136 loss: 2.5136 2022/07/22 03:39:54 - mmengine - INFO - Epoch(train) [5][2640/3757] lr: 1.0000e-02 eta: 2 days, 18:17:33 time: 0.7365 data_time: 0.0225 memory: 17350 grad_norm: 5.6994 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7428 loss: 2.7428 2022/07/22 03:40:06 - mmengine - INFO - Epoch(train) [5][2660/3757] lr: 1.0000e-02 eta: 2 days, 18:16:57 time: 0.6099 data_time: 0.0228 memory: 17350 grad_norm: 5.6316 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6124 loss: 2.6124 2022/07/22 03:40:21 - mmengine - INFO - Epoch(train) [5][2680/3757] lr: 1.0000e-02 eta: 2 days, 18:17:23 time: 0.7652 data_time: 0.0207 memory: 17350 grad_norm: 5.4361 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4161 loss: 2.4161 2022/07/22 03:40:33 - mmengine - INFO - Epoch(train) [5][2700/3757] lr: 1.0000e-02 eta: 2 days, 18:16:41 time: 0.5952 data_time: 0.0242 memory: 17350 grad_norm: 5.7982 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8139 loss: 2.8139 2022/07/22 03:40:48 - mmengine - INFO - Epoch(train) [5][2720/3757] lr: 1.0000e-02 eta: 2 days, 18:16:58 time: 0.7417 data_time: 0.0206 memory: 17350 grad_norm: 5.6840 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7046 loss: 2.7046 2022/07/22 03:41:00 - mmengine - INFO - Epoch(train) [5][2740/3757] lr: 1.0000e-02 eta: 2 days, 18:16:28 time: 0.6246 data_time: 0.0256 memory: 17350 grad_norm: 5.9236 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6424 loss: 2.6424 2022/07/22 03:41:14 - mmengine - INFO - Epoch(train) [5][2760/3757] lr: 1.0000e-02 eta: 2 days, 18:16:11 time: 0.6569 data_time: 0.0312 memory: 17350 grad_norm: 5.5480 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5420 loss: 2.5420 2022/07/22 03:41:28 - mmengine - INFO - Epoch(train) [5][2780/3757] lr: 1.0000e-02 eta: 2 days, 18:16:10 time: 0.6972 data_time: 0.0436 memory: 17350 grad_norm: 5.5842 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5594 loss: 2.5594 2022/07/22 03:41:41 - mmengine - INFO - Epoch(train) [5][2800/3757] lr: 1.0000e-02 eta: 2 days, 18:15:58 time: 0.6723 data_time: 0.0231 memory: 17350 grad_norm: 5.6111 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8266 loss: 2.8266 2022/07/22 03:41:54 - mmengine - INFO - Epoch(train) [5][2820/3757] lr: 1.0000e-02 eta: 2 days, 18:15:40 time: 0.6543 data_time: 0.0235 memory: 17350 grad_norm: 5.6043 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4434 loss: 2.4434 2022/07/22 03:42:08 - mmengine - INFO - Epoch(train) [5][2840/3757] lr: 1.0000e-02 eta: 2 days, 18:15:29 time: 0.6716 data_time: 0.0219 memory: 17350 grad_norm: 5.6672 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7077 loss: 2.7077 2022/07/22 03:42:21 - mmengine - INFO - Epoch(train) [5][2860/3757] lr: 1.0000e-02 eta: 2 days, 18:15:18 time: 0.6730 data_time: 0.0242 memory: 17350 grad_norm: 5.7424 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5131 loss: 2.5131 2022/07/22 03:42:35 - mmengine - INFO - Epoch(train) [5][2880/3757] lr: 1.0000e-02 eta: 2 days, 18:15:19 time: 0.7031 data_time: 0.0222 memory: 17350 grad_norm: 5.5963 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6497 loss: 2.6497 2022/07/22 03:42:48 - mmengine - INFO - Epoch(train) [5][2900/3757] lr: 1.0000e-02 eta: 2 days, 18:14:50 time: 0.6255 data_time: 0.0228 memory: 17350 grad_norm: 5.5684 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8050 loss: 2.8050 2022/07/22 03:43:02 - mmengine - INFO - Epoch(train) [5][2920/3757] lr: 1.0000e-02 eta: 2 days, 18:14:49 time: 0.6981 data_time: 0.0225 memory: 17350 grad_norm: 5.5716 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5174 loss: 2.5174 2022/07/22 03:43:14 - mmengine - INFO - Epoch(train) [5][2940/3757] lr: 1.0000e-02 eta: 2 days, 18:14:23 time: 0.6340 data_time: 0.0222 memory: 17350 grad_norm: 5.6036 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4315 loss: 2.4315 2022/07/22 03:43:27 - mmengine - INFO - Epoch(train) [5][2960/3757] lr: 1.0000e-02 eta: 2 days, 18:14:07 time: 0.6623 data_time: 0.0216 memory: 17350 grad_norm: 5.4721 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2967 loss: 2.2967 2022/07/22 03:43:36 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 03:43:41 - mmengine - INFO - Epoch(train) [5][2980/3757] lr: 1.0000e-02 eta: 2 days, 18:14:00 time: 0.6807 data_time: 0.0268 memory: 17350 grad_norm: 5.6835 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5624 loss: 2.5624 2022/07/22 03:43:54 - mmengine - INFO - Epoch(train) [5][3000/3757] lr: 1.0000e-02 eta: 2 days, 18:13:46 time: 0.6666 data_time: 0.0212 memory: 17350 grad_norm: 5.7288 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.9532 loss: 2.9532 2022/07/22 03:44:07 - mmengine - INFO - Epoch(train) [5][3020/3757] lr: 1.0000e-02 eta: 2 days, 18:13:24 time: 0.6443 data_time: 0.0233 memory: 17350 grad_norm: 5.4662 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6719 loss: 2.6719 2022/07/22 03:44:21 - mmengine - INFO - Epoch(train) [5][3040/3757] lr: 1.0000e-02 eta: 2 days, 18:13:17 time: 0.6807 data_time: 0.0207 memory: 17350 grad_norm: 5.5546 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7478 loss: 2.7478 2022/07/22 03:44:34 - mmengine - INFO - Epoch(train) [5][3060/3757] lr: 1.0000e-02 eta: 2 days, 18:13:02 time: 0.6639 data_time: 0.0213 memory: 17350 grad_norm: 5.5567 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6433 loss: 2.6433 2022/07/22 03:44:48 - mmengine - INFO - Epoch(train) [5][3080/3757] lr: 1.0000e-02 eta: 2 days, 18:12:51 time: 0.6721 data_time: 0.0218 memory: 17350 grad_norm: 5.6120 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5344 loss: 2.5344 2022/07/22 03:45:01 - mmengine - INFO - Epoch(train) [5][3100/3757] lr: 1.0000e-02 eta: 2 days, 18:12:42 time: 0.6777 data_time: 0.0216 memory: 17350 grad_norm: 5.7709 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6534 loss: 2.6534 2022/07/22 03:45:15 - mmengine - INFO - Epoch(train) [5][3120/3757] lr: 1.0000e-02 eta: 2 days, 18:12:46 time: 0.7111 data_time: 0.0214 memory: 17350 grad_norm: 5.6019 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4770 loss: 2.4770 2022/07/22 03:45:28 - mmengine - INFO - Epoch(train) [5][3140/3757] lr: 1.0000e-02 eta: 2 days, 18:12:16 time: 0.6238 data_time: 0.0238 memory: 17350 grad_norm: 5.5007 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5477 loss: 2.5477 2022/07/22 03:45:42 - mmengine - INFO - Epoch(train) [5][3160/3757] lr: 1.0000e-02 eta: 2 days, 18:12:11 time: 0.6874 data_time: 0.0209 memory: 17350 grad_norm: 5.7317 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2662 loss: 2.2662 2022/07/22 03:45:55 - mmengine - INFO - Epoch(train) [5][3180/3757] lr: 1.0000e-02 eta: 2 days, 18:11:50 time: 0.6482 data_time: 0.0228 memory: 17350 grad_norm: 5.5039 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6469 loss: 2.6469 2022/07/22 03:46:09 - mmengine - INFO - Epoch(train) [5][3200/3757] lr: 1.0000e-02 eta: 2 days, 18:11:48 time: 0.6947 data_time: 0.0233 memory: 17350 grad_norm: 5.3403 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5219 loss: 2.5219 2022/07/22 03:46:22 - mmengine - INFO - Epoch(train) [5][3220/3757] lr: 1.0000e-02 eta: 2 days, 18:11:43 time: 0.6877 data_time: 0.0208 memory: 17350 grad_norm: 5.6128 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7959 loss: 2.7959 2022/07/22 03:46:37 - mmengine - INFO - Epoch(train) [5][3240/3757] lr: 1.0000e-02 eta: 2 days, 18:11:47 time: 0.7120 data_time: 0.0209 memory: 17350 grad_norm: 5.5557 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4513 loss: 2.4513 2022/07/22 03:46:49 - mmengine - INFO - Epoch(train) [5][3260/3757] lr: 1.0000e-02 eta: 2 days, 18:11:13 time: 0.6132 data_time: 0.0221 memory: 17350 grad_norm: 5.4929 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5083 loss: 2.5083 2022/07/22 03:47:03 - mmengine - INFO - Epoch(train) [5][3280/3757] lr: 1.0000e-02 eta: 2 days, 18:11:09 time: 0.6897 data_time: 0.0233 memory: 17350 grad_norm: 5.5656 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5974 loss: 2.5974 2022/07/22 03:47:15 - mmengine - INFO - Epoch(train) [5][3300/3757] lr: 1.0000e-02 eta: 2 days, 18:10:40 time: 0.6282 data_time: 0.0216 memory: 17350 grad_norm: 5.4863 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7444 loss: 2.7444 2022/07/22 03:47:29 - mmengine - INFO - Epoch(train) [5][3320/3757] lr: 1.0000e-02 eta: 2 days, 18:10:38 time: 0.6944 data_time: 0.0227 memory: 17350 grad_norm: 5.4861 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6995 loss: 2.6995 2022/07/22 03:47:42 - mmengine - INFO - Epoch(train) [5][3340/3757] lr: 1.0000e-02 eta: 2 days, 18:10:23 time: 0.6638 data_time: 0.0270 memory: 17350 grad_norm: 5.5468 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8722 loss: 2.8722 2022/07/22 03:47:55 - mmengine - INFO - Epoch(train) [5][3360/3757] lr: 1.0000e-02 eta: 2 days, 18:10:07 time: 0.6586 data_time: 0.0224 memory: 17350 grad_norm: 5.5344 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6773 loss: 2.6773 2022/07/22 03:48:10 - mmengine - INFO - Epoch(train) [5][3380/3757] lr: 1.0000e-02 eta: 2 days, 18:10:07 time: 0.7013 data_time: 0.0224 memory: 17350 grad_norm: 5.7007 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4128 loss: 2.4128 2022/07/22 03:48:22 - mmengine - INFO - Epoch(train) [5][3400/3757] lr: 1.0000e-02 eta: 2 days, 18:09:46 time: 0.6480 data_time: 0.0211 memory: 17350 grad_norm: 5.4656 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5997 loss: 2.5997 2022/07/22 03:48:36 - mmengine - INFO - Epoch(train) [5][3420/3757] lr: 1.0000e-02 eta: 2 days, 18:09:43 time: 0.6912 data_time: 0.0240 memory: 17350 grad_norm: 5.5771 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5851 loss: 2.5851 2022/07/22 03:48:49 - mmengine - INFO - Epoch(train) [5][3440/3757] lr: 1.0000e-02 eta: 2 days, 18:09:10 time: 0.6183 data_time: 0.0243 memory: 17350 grad_norm: 5.7817 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6577 loss: 2.6577 2022/07/22 03:49:02 - mmengine - INFO - Epoch(train) [5][3460/3757] lr: 1.0000e-02 eta: 2 days, 18:09:05 time: 0.6869 data_time: 0.0224 memory: 17350 grad_norm: 5.6322 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6454 loss: 2.6454 2022/07/22 03:49:14 - mmengine - INFO - Epoch(train) [5][3480/3757] lr: 1.0000e-02 eta: 2 days, 18:08:25 time: 0.5988 data_time: 0.0245 memory: 17350 grad_norm: 5.6039 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5017 loss: 2.5017 2022/07/22 03:49:29 - mmengine - INFO - Epoch(train) [5][3500/3757] lr: 1.0000e-02 eta: 2 days, 18:08:43 time: 0.7460 data_time: 0.0239 memory: 17350 grad_norm: 5.4917 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7478 loss: 2.7478 2022/07/22 03:49:42 - mmengine - INFO - Epoch(train) [5][3520/3757] lr: 1.0000e-02 eta: 2 days, 18:08:09 time: 0.6150 data_time: 0.0238 memory: 17350 grad_norm: 5.4617 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5213 loss: 2.5213 2022/07/22 03:49:56 - mmengine - INFO - Epoch(train) [5][3540/3757] lr: 1.0000e-02 eta: 2 days, 18:08:23 time: 0.7375 data_time: 0.0225 memory: 17350 grad_norm: 5.5668 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7157 loss: 2.7157 2022/07/22 03:50:08 - mmengine - INFO - Epoch(train) [5][3560/3757] lr: 1.0000e-02 eta: 2 days, 18:07:43 time: 0.5960 data_time: 0.0227 memory: 17350 grad_norm: 5.7253 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3724 loss: 2.3724 2022/07/22 03:50:22 - mmengine - INFO - Epoch(train) [5][3580/3757] lr: 1.0000e-02 eta: 2 days, 18:07:33 time: 0.6745 data_time: 0.0232 memory: 17350 grad_norm: 5.5795 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4311 loss: 2.4311 2022/07/22 03:50:34 - mmengine - INFO - Epoch(train) [5][3600/3757] lr: 1.0000e-02 eta: 2 days, 18:06:58 time: 0.6104 data_time: 0.0222 memory: 17350 grad_norm: 5.6611 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7991 loss: 2.7991 2022/07/22 03:50:48 - mmengine - INFO - Epoch(train) [5][3620/3757] lr: 1.0000e-02 eta: 2 days, 18:07:04 time: 0.7175 data_time: 0.0221 memory: 17350 grad_norm: 5.4705 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6140 loss: 2.6140 2022/07/22 03:51:00 - mmengine - INFO - Epoch(train) [5][3640/3757] lr: 1.0000e-02 eta: 2 days, 18:06:20 time: 0.5866 data_time: 0.0237 memory: 17350 grad_norm: 5.7041 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3679 loss: 2.3679 2022/07/22 03:51:15 - mmengine - INFO - Epoch(train) [5][3660/3757] lr: 1.0000e-02 eta: 2 days, 18:06:42 time: 0.7584 data_time: 0.0198 memory: 17350 grad_norm: 5.5039 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4047 loss: 2.4047 2022/07/22 03:51:28 - mmengine - INFO - Epoch(train) [5][3680/3757] lr: 1.0000e-02 eta: 2 days, 18:06:11 time: 0.6205 data_time: 0.0235 memory: 17350 grad_norm: 5.6099 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6519 loss: 2.6519 2022/07/22 03:51:42 - mmengine - INFO - Epoch(train) [5][3700/3757] lr: 1.0000e-02 eta: 2 days, 18:06:13 time: 0.7067 data_time: 0.0213 memory: 17350 grad_norm: 5.6082 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8192 loss: 2.8192 2022/07/22 03:51:54 - mmengine - INFO - Epoch(train) [5][3720/3757] lr: 1.0000e-02 eta: 2 days, 18:05:43 time: 0.6229 data_time: 0.0222 memory: 17350 grad_norm: 5.7304 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8552 loss: 2.8552 2022/07/22 03:52:09 - mmengine - INFO - Epoch(train) [5][3740/3757] lr: 1.0000e-02 eta: 2 days, 18:05:51 time: 0.7242 data_time: 0.0228 memory: 17350 grad_norm: 5.5984 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8170 loss: 2.8170 2022/07/22 03:52:16 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 03:52:16 - mmengine - INFO - Epoch(train) [5][3757/3757] lr: 1.0000e-02 eta: 2 days, 18:05:51 time: 0.4672 data_time: 0.0231 memory: 17350 grad_norm: 5.7297 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.5350 loss: 2.5350 2022/07/22 03:52:16 - mmengine - INFO - Saving checkpoint at 5 epochs 2022/07/22 03:52:40 - mmengine - INFO - Epoch(val) [5][20/310] eta: 0:03:48 time: 0.7869 data_time: 0.6714 memory: 3406 2022/07/22 03:52:51 - mmengine - INFO - Epoch(val) [5][40/310] eta: 0:02:28 time: 0.5493 data_time: 0.4378 memory: 3406 2022/07/22 03:53:06 - mmengine - INFO - Epoch(val) [5][60/310] eta: 0:03:04 time: 0.7375 data_time: 0.6204 memory: 3406 2022/07/22 03:53:17 - mmengine - INFO - Epoch(val) [5][80/310] eta: 0:02:06 time: 0.5481 data_time: 0.4365 memory: 3406 2022/07/22 03:53:32 - mmengine - INFO - Epoch(val) [5][100/310] eta: 0:02:42 time: 0.7717 data_time: 0.6602 memory: 3406 2022/07/22 03:53:43 - mmengine - INFO - Epoch(val) [5][120/310] eta: 0:01:43 time: 0.5460 data_time: 0.4348 memory: 3406 2022/07/22 03:53:59 - mmengine - INFO - Epoch(val) [5][140/310] eta: 0:02:11 time: 0.7718 data_time: 0.6589 memory: 3406 2022/07/22 03:54:10 - mmengine - INFO - Epoch(val) [5][160/310] eta: 0:01:27 time: 0.5847 data_time: 0.4728 memory: 3406 2022/07/22 03:54:26 - mmengine - INFO - Epoch(val) [5][180/310] eta: 0:01:41 time: 0.7780 data_time: 0.6648 memory: 3406 2022/07/22 03:54:36 - mmengine - INFO - Epoch(val) [5][200/310] eta: 0:00:57 time: 0.5268 data_time: 0.4152 memory: 3406 2022/07/22 03:54:52 - mmengine - INFO - Epoch(val) [5][220/310] eta: 0:01:11 time: 0.7943 data_time: 0.6802 memory: 3406 2022/07/22 03:55:03 - mmengine - INFO - Epoch(val) [5][240/310] eta: 0:00:39 time: 0.5606 data_time: 0.4476 memory: 3406 2022/07/22 03:55:19 - mmengine - INFO - Epoch(val) [5][260/310] eta: 0:00:37 time: 0.7541 data_time: 0.6408 memory: 3406 2022/07/22 03:55:30 - mmengine - INFO - Epoch(val) [5][280/310] eta: 0:00:16 time: 0.5538 data_time: 0.4426 memory: 3406 2022/07/22 03:55:40 - mmengine - INFO - Epoch(val) [5][300/310] eta: 0:00:05 time: 0.5405 data_time: 0.4265 memory: 3406 2022/07/22 03:55:43 - mmengine - INFO - Epoch(val) [5][310/310] acc/top1: 0.4653 acc/top5: 0.7387 acc/mean1: 0.4653 2022/07/22 03:55:44 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_5.pth is removed 2022/07/22 03:55:47 - mmengine - INFO - The best checkpoint with 0.4653 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2022/07/22 03:56:04 - mmengine - INFO - Epoch(train) [6][20/3757] lr: 1.0000e-02 eta: 2 days, 18:02:58 time: 0.8418 data_time: 0.5167 memory: 17350 grad_norm: 5.2874 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4501 loss: 2.4501 2022/07/22 03:56:16 - mmengine - INFO - Epoch(train) [6][40/3757] lr: 1.0000e-02 eta: 2 days, 18:02:25 time: 0.6143 data_time: 0.2832 memory: 17350 grad_norm: 5.6086 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4094 loss: 2.4094 2022/07/22 03:56:31 - mmengine - INFO - Epoch(train) [6][60/3757] lr: 1.0000e-02 eta: 2 days, 18:02:31 time: 0.7182 data_time: 0.4034 memory: 17350 grad_norm: 5.6236 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4777 loss: 2.4777 2022/07/22 03:56:43 - mmengine - INFO - Epoch(train) [6][80/3757] lr: 1.0000e-02 eta: 2 days, 18:01:55 time: 0.6053 data_time: 0.2781 memory: 17350 grad_norm: 5.4583 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6189 loss: 2.6189 2022/07/22 03:56:58 - mmengine - INFO - Epoch(train) [6][100/3757] lr: 1.0000e-02 eta: 2 days, 18:02:13 time: 0.7496 data_time: 0.4236 memory: 17350 grad_norm: 5.6423 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4113 loss: 2.4113 2022/07/22 03:57:09 - mmengine - INFO - Epoch(train) [6][120/3757] lr: 1.0000e-02 eta: 2 days, 18:01:17 time: 0.5535 data_time: 0.2330 memory: 17350 grad_norm: 5.6806 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5070 loss: 2.5070 2022/07/22 03:57:23 - mmengine - INFO - Epoch(train) [6][140/3757] lr: 1.0000e-02 eta: 2 days, 18:01:30 time: 0.7344 data_time: 0.4055 memory: 17350 grad_norm: 5.3947 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3732 loss: 2.3732 2022/07/22 03:57:36 - mmengine - INFO - Epoch(train) [6][160/3757] lr: 1.0000e-02 eta: 2 days, 18:01:10 time: 0.6486 data_time: 0.3215 memory: 17350 grad_norm: 5.4740 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.6295 loss: 2.6295 2022/07/22 03:57:51 - mmengine - INFO - Epoch(train) [6][180/3757] lr: 1.0000e-02 eta: 2 days, 18:01:20 time: 0.7299 data_time: 0.3948 memory: 17350 grad_norm: 5.4731 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7451 loss: 2.7451 2022/07/22 03:58:03 - mmengine - INFO - Epoch(train) [6][200/3757] lr: 1.0000e-02 eta: 2 days, 18:00:36 time: 0.5848 data_time: 0.2551 memory: 17350 grad_norm: 5.4353 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3118 loss: 2.3118 2022/07/22 03:58:12 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 03:58:16 - mmengine - INFO - Epoch(train) [6][220/3757] lr: 1.0000e-02 eta: 2 days, 18:00:29 time: 0.6809 data_time: 0.3437 memory: 17350 grad_norm: 5.5690 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2461 loss: 2.2461 2022/07/22 03:58:29 - mmengine - INFO - Epoch(train) [6][240/3757] lr: 1.0000e-02 eta: 2 days, 18:00:02 time: 0.6313 data_time: 0.2933 memory: 17350 grad_norm: 5.6066 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3897 loss: 2.3897 2022/07/22 03:58:43 - mmengine - INFO - Epoch(train) [6][260/3757] lr: 1.0000e-02 eta: 2 days, 18:00:09 time: 0.7189 data_time: 0.3921 memory: 17350 grad_norm: 5.4510 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5491 loss: 2.5491 2022/07/22 03:58:55 - mmengine - INFO - Epoch(train) [6][280/3757] lr: 1.0000e-02 eta: 2 days, 17:59:24 time: 0.5839 data_time: 0.2502 memory: 17350 grad_norm: 5.5953 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3994 loss: 2.3994 2022/07/22 03:59:10 - mmengine - INFO - Epoch(train) [6][300/3757] lr: 1.0000e-02 eta: 2 days, 17:59:45 time: 0.7578 data_time: 0.4271 memory: 17350 grad_norm: 5.6281 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6873 loss: 2.6873 2022/07/22 03:59:22 - mmengine - INFO - Epoch(train) [6][320/3757] lr: 1.0000e-02 eta: 2 days, 17:59:07 time: 0.6002 data_time: 0.2716 memory: 17350 grad_norm: 5.5727 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5946 loss: 2.5946 2022/07/22 03:59:38 - mmengine - INFO - Epoch(train) [6][340/3757] lr: 1.0000e-02 eta: 2 days, 17:59:32 time: 0.7683 data_time: 0.4303 memory: 17350 grad_norm: 5.4067 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6222 loss: 2.6222 2022/07/22 03:59:49 - mmengine - INFO - Epoch(train) [6][360/3757] lr: 1.0000e-02 eta: 2 days, 17:58:45 time: 0.5759 data_time: 0.2443 memory: 17350 grad_norm: 5.6052 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6603 loss: 2.6603 2022/07/22 04:00:04 - mmengine - INFO - Epoch(train) [6][380/3757] lr: 1.0000e-02 eta: 2 days, 17:59:04 time: 0.7531 data_time: 0.4216 memory: 17350 grad_norm: 5.7425 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3125 loss: 2.3125 2022/07/22 04:00:16 - mmengine - INFO - Epoch(train) [6][400/3757] lr: 1.0000e-02 eta: 2 days, 17:58:23 time: 0.5916 data_time: 0.2637 memory: 17350 grad_norm: 5.5806 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3961 loss: 2.3961 2022/07/22 04:00:31 - mmengine - INFO - Epoch(train) [6][420/3757] lr: 1.0000e-02 eta: 2 days, 17:58:37 time: 0.7401 data_time: 0.4090 memory: 17350 grad_norm: 5.5863 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3369 loss: 2.3369 2022/07/22 04:00:43 - mmengine - INFO - Epoch(train) [6][440/3757] lr: 1.0000e-02 eta: 2 days, 17:57:59 time: 0.5996 data_time: 0.2391 memory: 17350 grad_norm: 5.4567 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3309 loss: 2.3309 2022/07/22 04:00:58 - mmengine - INFO - Epoch(train) [6][460/3757] lr: 1.0000e-02 eta: 2 days, 17:58:15 time: 0.7448 data_time: 0.3909 memory: 17350 grad_norm: 5.6566 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3512 loss: 2.3512 2022/07/22 04:01:10 - mmengine - INFO - Epoch(train) [6][480/3757] lr: 1.0000e-02 eta: 2 days, 17:57:36 time: 0.5975 data_time: 0.2411 memory: 17350 grad_norm: 5.5681 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6899 loss: 2.6899 2022/07/22 04:01:24 - mmengine - INFO - Epoch(train) [6][500/3757] lr: 1.0000e-02 eta: 2 days, 17:57:47 time: 0.7307 data_time: 0.2468 memory: 17350 grad_norm: 5.5598 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4336 loss: 2.4336 2022/07/22 04:01:37 - mmengine - INFO - Epoch(train) [6][520/3757] lr: 1.0000e-02 eta: 2 days, 17:57:16 time: 0.6199 data_time: 0.1877 memory: 17350 grad_norm: 5.5699 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7098 loss: 2.7098 2022/07/22 04:01:51 - mmengine - INFO - Epoch(train) [6][540/3757] lr: 1.0000e-02 eta: 2 days, 17:57:21 time: 0.7142 data_time: 0.2027 memory: 17350 grad_norm: 5.6484 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6704 loss: 2.6704 2022/07/22 04:02:03 - mmengine - INFO - Epoch(train) [6][560/3757] lr: 1.0000e-02 eta: 2 days, 17:56:41 time: 0.5942 data_time: 0.1483 memory: 17350 grad_norm: 5.6027 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3057 loss: 2.3057 2022/07/22 04:02:17 - mmengine - INFO - Epoch(train) [6][580/3757] lr: 1.0000e-02 eta: 2 days, 17:56:49 time: 0.7256 data_time: 0.1934 memory: 17350 grad_norm: 5.5254 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3495 loss: 2.3495 2022/07/22 04:02:29 - mmengine - INFO - Epoch(train) [6][600/3757] lr: 1.0000e-02 eta: 2 days, 17:56:15 time: 0.6086 data_time: 0.1615 memory: 17350 grad_norm: 5.5099 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2802 loss: 2.2802 2022/07/22 04:02:45 - mmengine - INFO - Epoch(train) [6][620/3757] lr: 1.0000e-02 eta: 2 days, 17:56:33 time: 0.7515 data_time: 0.1183 memory: 17350 grad_norm: 5.4673 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5498 loss: 2.5498 2022/07/22 04:02:57 - mmengine - INFO - Epoch(train) [6][640/3757] lr: 1.0000e-02 eta: 2 days, 17:55:58 time: 0.6075 data_time: 0.0225 memory: 17350 grad_norm: 5.6532 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4253 loss: 2.4253 2022/07/22 04:03:11 - mmengine - INFO - Epoch(train) [6][660/3757] lr: 1.0000e-02 eta: 2 days, 17:56:04 time: 0.7197 data_time: 0.0937 memory: 17350 grad_norm: 5.5014 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5619 loss: 2.5619 2022/07/22 04:03:23 - mmengine - INFO - Epoch(train) [6][680/3757] lr: 1.0000e-02 eta: 2 days, 17:55:23 time: 0.5903 data_time: 0.1328 memory: 17350 grad_norm: 5.2313 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2020 loss: 2.2020 2022/07/22 04:03:37 - mmengine - INFO - Epoch(train) [6][700/3757] lr: 1.0000e-02 eta: 2 days, 17:55:28 time: 0.7154 data_time: 0.1687 memory: 17350 grad_norm: 5.4890 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6369 loss: 2.6369 2022/07/22 04:03:50 - mmengine - INFO - Epoch(train) [6][720/3757] lr: 1.0000e-02 eta: 2 days, 17:54:59 time: 0.6244 data_time: 0.0828 memory: 17350 grad_norm: 5.5898 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6404 loss: 2.6404 2022/07/22 04:04:05 - mmengine - INFO - Epoch(train) [6][740/3757] lr: 1.0000e-02 eta: 2 days, 17:55:15 time: 0.7469 data_time: 0.0804 memory: 17350 grad_norm: 5.5453 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6017 loss: 2.6017 2022/07/22 04:04:16 - mmengine - INFO - Epoch(train) [6][760/3757] lr: 1.0000e-02 eta: 2 days, 17:54:27 time: 0.5711 data_time: 0.0534 memory: 17350 grad_norm: 5.5610 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7772 loss: 2.7772 2022/07/22 04:04:31 - mmengine - INFO - Epoch(train) [6][780/3757] lr: 1.0000e-02 eta: 2 days, 17:54:51 time: 0.7675 data_time: 0.1535 memory: 17350 grad_norm: 5.4558 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5348 loss: 2.5348 2022/07/22 04:04:43 - mmengine - INFO - Epoch(train) [6][800/3757] lr: 1.0000e-02 eta: 2 days, 17:54:00 time: 0.5638 data_time: 0.0646 memory: 17350 grad_norm: 5.3367 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4065 loss: 2.4065 2022/07/22 04:04:57 - mmengine - INFO - Epoch(train) [6][820/3757] lr: 1.0000e-02 eta: 2 days, 17:54:04 time: 0.7145 data_time: 0.1601 memory: 17350 grad_norm: 5.4924 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4060 loss: 2.4060 2022/07/22 04:05:09 - mmengine - INFO - Epoch(train) [6][840/3757] lr: 1.0000e-02 eta: 2 days, 17:53:34 time: 0.6196 data_time: 0.1542 memory: 17350 grad_norm: 5.4370 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3565 loss: 2.3565 2022/07/22 04:05:24 - mmengine - INFO - Epoch(train) [6][860/3757] lr: 1.0000e-02 eta: 2 days, 17:53:39 time: 0.7166 data_time: 0.1736 memory: 17350 grad_norm: 5.5237 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5585 loss: 2.5585 2022/07/22 04:05:36 - mmengine - INFO - Epoch(train) [6][880/3757] lr: 1.0000e-02 eta: 2 days, 17:53:05 time: 0.6083 data_time: 0.1360 memory: 17350 grad_norm: 5.7868 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4660 loss: 2.4660 2022/07/22 04:05:50 - mmengine - INFO - Epoch(train) [6][900/3757] lr: 1.0000e-02 eta: 2 days, 17:53:11 time: 0.7213 data_time: 0.2714 memory: 17350 grad_norm: 5.6962 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3575 loss: 2.3575 2022/07/22 04:06:02 - mmengine - INFO - Epoch(train) [6][920/3757] lr: 1.0000e-02 eta: 2 days, 17:52:36 time: 0.6062 data_time: 0.2088 memory: 17350 grad_norm: 5.6446 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5181 loss: 2.5181 2022/07/22 04:06:17 - mmengine - INFO - Epoch(train) [6][940/3757] lr: 1.0000e-02 eta: 2 days, 17:52:48 time: 0.7356 data_time: 0.2464 memory: 17350 grad_norm: 5.6943 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0052 loss: 3.0052 2022/07/22 04:06:29 - mmengine - INFO - Epoch(train) [6][960/3757] lr: 1.0000e-02 eta: 2 days, 17:52:15 time: 0.6121 data_time: 0.1654 memory: 17350 grad_norm: 5.5859 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7107 loss: 2.7107 2022/07/22 04:06:44 - mmengine - INFO - Epoch(train) [6][980/3757] lr: 1.0000e-02 eta: 2 days, 17:52:24 time: 0.7270 data_time: 0.1641 memory: 17350 grad_norm: 5.7495 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4882 loss: 2.4882 2022/07/22 04:06:56 - mmengine - INFO - Epoch(train) [6][1000/3757] lr: 1.0000e-02 eta: 2 days, 17:51:42 time: 0.5856 data_time: 0.2053 memory: 17350 grad_norm: 5.5360 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1723 loss: 2.1723 2022/07/22 04:07:10 - mmengine - INFO - Epoch(train) [6][1020/3757] lr: 1.0000e-02 eta: 2 days, 17:51:53 time: 0.7346 data_time: 0.3315 memory: 17350 grad_norm: 5.5976 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4073 loss: 2.4073 2022/07/22 04:07:22 - mmengine - INFO - Epoch(train) [6][1040/3757] lr: 1.0000e-02 eta: 2 days, 17:51:13 time: 0.5921 data_time: 0.2668 memory: 17350 grad_norm: 5.7399 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7544 loss: 2.7544 2022/07/22 04:07:37 - mmengine - INFO - Epoch(train) [6][1060/3757] lr: 1.0000e-02 eta: 2 days, 17:51:30 time: 0.7503 data_time: 0.4163 memory: 17350 grad_norm: 5.4747 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4505 loss: 2.4505 2022/07/22 04:07:49 - mmengine - INFO - Epoch(train) [6][1080/3757] lr: 1.0000e-02 eta: 2 days, 17:50:49 time: 0.5885 data_time: 0.2594 memory: 17350 grad_norm: 5.5499 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4510 loss: 2.4510 2022/07/22 04:08:03 - mmengine - INFO - Epoch(train) [6][1100/3757] lr: 1.0000e-02 eta: 2 days, 17:50:51 time: 0.7113 data_time: 0.3439 memory: 17350 grad_norm: 5.5786 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3697 loss: 2.3697 2022/07/22 04:08:16 - mmengine - INFO - Epoch(train) [6][1120/3757] lr: 1.0000e-02 eta: 2 days, 17:50:25 time: 0.6297 data_time: 0.2770 memory: 17350 grad_norm: 5.7271 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3800 loss: 2.3800 2022/07/22 04:08:30 - mmengine - INFO - Epoch(train) [6][1140/3757] lr: 1.0000e-02 eta: 2 days, 17:50:36 time: 0.7356 data_time: 0.3860 memory: 17350 grad_norm: 5.6140 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6219 loss: 2.6219 2022/07/22 04:08:43 - mmengine - INFO - Epoch(train) [6][1160/3757] lr: 1.0000e-02 eta: 2 days, 17:50:04 time: 0.6132 data_time: 0.2528 memory: 17350 grad_norm: 5.3707 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4373 loss: 2.4373 2022/07/22 04:08:57 - mmengine - INFO - Epoch(train) [6][1180/3757] lr: 1.0000e-02 eta: 2 days, 17:50:16 time: 0.7370 data_time: 0.3570 memory: 17350 grad_norm: 5.4659 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4654 loss: 2.4654 2022/07/22 04:09:10 - mmengine - INFO - Epoch(train) [6][1200/3757] lr: 1.0000e-02 eta: 2 days, 17:49:48 time: 0.6260 data_time: 0.2612 memory: 17350 grad_norm: 5.5221 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3763 loss: 2.3763 2022/07/22 04:09:20 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 04:09:24 - mmengine - INFO - Epoch(train) [6][1220/3757] lr: 1.0000e-02 eta: 2 days, 17:49:43 time: 0.6889 data_time: 0.3169 memory: 17350 grad_norm: 5.5981 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5744 loss: 2.5744 2022/07/22 04:09:37 - mmengine - INFO - Epoch(train) [6][1240/3757] lr: 1.0000e-02 eta: 2 days, 17:49:34 time: 0.6776 data_time: 0.2853 memory: 17350 grad_norm: 5.5398 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3863 loss: 2.3863 2022/07/22 04:09:51 - mmengine - INFO - Epoch(train) [6][1260/3757] lr: 1.0000e-02 eta: 2 days, 17:49:34 time: 0.7042 data_time: 0.3099 memory: 17350 grad_norm: 5.4714 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6278 loss: 2.6278 2022/07/22 04:10:04 - mmengine - INFO - Epoch(train) [6][1280/3757] lr: 1.0000e-02 eta: 2 days, 17:49:02 time: 0.6146 data_time: 0.1960 memory: 17350 grad_norm: 5.6218 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6298 loss: 2.6298 2022/07/22 04:10:18 - mmengine - INFO - Epoch(train) [6][1300/3757] lr: 1.0000e-02 eta: 2 days, 17:49:14 time: 0.7368 data_time: 0.2701 memory: 17350 grad_norm: 5.4174 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5222 loss: 2.5222 2022/07/22 04:10:30 - mmengine - INFO - Epoch(train) [6][1320/3757] lr: 1.0000e-02 eta: 2 days, 17:48:37 time: 0.5993 data_time: 0.1887 memory: 17350 grad_norm: 5.6482 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3889 loss: 2.3889 2022/07/22 04:10:44 - mmengine - INFO - Epoch(train) [6][1340/3757] lr: 1.0000e-02 eta: 2 days, 17:48:26 time: 0.6733 data_time: 0.2315 memory: 17350 grad_norm: 5.6109 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4632 loss: 2.4632 2022/07/22 04:10:56 - mmengine - INFO - Epoch(train) [6][1360/3757] lr: 1.0000e-02 eta: 2 days, 17:47:58 time: 0.6253 data_time: 0.2106 memory: 17350 grad_norm: 5.6626 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5682 loss: 2.5682 2022/07/22 04:11:11 - mmengine - INFO - Epoch(train) [6][1380/3757] lr: 1.0000e-02 eta: 2 days, 17:48:02 time: 0.7141 data_time: 0.2972 memory: 17350 grad_norm: 5.5282 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4934 loss: 2.4934 2022/07/22 04:11:23 - mmengine - INFO - Epoch(train) [6][1400/3757] lr: 1.0000e-02 eta: 2 days, 17:47:35 time: 0.6282 data_time: 0.2083 memory: 17350 grad_norm: 5.5434 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4562 loss: 2.4562 2022/07/22 04:11:38 - mmengine - INFO - Epoch(train) [6][1420/3757] lr: 1.0000e-02 eta: 2 days, 17:47:44 time: 0.7287 data_time: 0.3451 memory: 17350 grad_norm: 5.5154 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5405 loss: 2.5405 2022/07/22 04:11:50 - mmengine - INFO - Epoch(train) [6][1440/3757] lr: 1.0000e-02 eta: 2 days, 17:47:08 time: 0.6024 data_time: 0.2783 memory: 17350 grad_norm: 5.4245 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8572 loss: 2.8572 2022/07/22 04:12:05 - mmengine - INFO - Epoch(train) [6][1460/3757] lr: 1.0000e-02 eta: 2 days, 17:47:25 time: 0.7513 data_time: 0.4279 memory: 17350 grad_norm: 5.6671 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7500 loss: 2.7500 2022/07/22 04:12:16 - mmengine - INFO - Epoch(train) [6][1480/3757] lr: 1.0000e-02 eta: 2 days, 17:46:39 time: 0.5751 data_time: 0.2510 memory: 17350 grad_norm: 5.5788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3545 loss: 2.3545 2022/07/22 04:12:31 - mmengine - INFO - Epoch(train) [6][1500/3757] lr: 1.0000e-02 eta: 2 days, 17:46:48 time: 0.7298 data_time: 0.3899 memory: 17350 grad_norm: 5.5515 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1934 loss: 2.1934 2022/07/22 04:12:44 - mmengine - INFO - Epoch(train) [6][1520/3757] lr: 1.0000e-02 eta: 2 days, 17:46:27 time: 0.6430 data_time: 0.3158 memory: 17350 grad_norm: 5.5976 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6163 loss: 2.6163 2022/07/22 04:12:59 - mmengine - INFO - Epoch(train) [6][1540/3757] lr: 1.0000e-02 eta: 2 days, 17:46:40 time: 0.7424 data_time: 0.4025 memory: 17350 grad_norm: 5.5792 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2766 loss: 2.2766 2022/07/22 04:13:10 - mmengine - INFO - Epoch(train) [6][1560/3757] lr: 1.0000e-02 eta: 2 days, 17:45:51 time: 0.5644 data_time: 0.2359 memory: 17350 grad_norm: 5.6395 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7185 loss: 2.7185 2022/07/22 04:13:25 - mmengine - INFO - Epoch(train) [6][1580/3757] lr: 1.0000e-02 eta: 2 days, 17:46:00 time: 0.7306 data_time: 0.3975 memory: 17350 grad_norm: 5.4410 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2727 loss: 2.2727 2022/07/22 04:13:37 - mmengine - INFO - Epoch(train) [6][1600/3757] lr: 1.0000e-02 eta: 2 days, 17:45:22 time: 0.5937 data_time: 0.2656 memory: 17350 grad_norm: 5.4682 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3423 loss: 2.3423 2022/07/22 04:13:51 - mmengine - INFO - Epoch(train) [6][1620/3757] lr: 1.0000e-02 eta: 2 days, 17:45:31 time: 0.7306 data_time: 0.4006 memory: 17350 grad_norm: 5.5176 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6329 loss: 2.6329 2022/07/22 04:14:04 - mmengine - INFO - Epoch(train) [6][1640/3757] lr: 1.0000e-02 eta: 2 days, 17:45:04 time: 0.6266 data_time: 0.2966 memory: 17350 grad_norm: 5.4865 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6214 loss: 2.6214 2022/07/22 04:14:18 - mmengine - INFO - Epoch(train) [6][1660/3757] lr: 1.0000e-02 eta: 2 days, 17:45:13 time: 0.7314 data_time: 0.3986 memory: 17350 grad_norm: 5.7265 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7334 loss: 2.7334 2022/07/22 04:14:30 - mmengine - INFO - Epoch(train) [6][1680/3757] lr: 1.0000e-02 eta: 2 days, 17:44:37 time: 0.5999 data_time: 0.2659 memory: 17350 grad_norm: 5.6476 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0999 loss: 2.0999 2022/07/22 04:14:45 - mmengine - INFO - Epoch(train) [6][1700/3757] lr: 1.0000e-02 eta: 2 days, 17:44:40 time: 0.7151 data_time: 0.3819 memory: 17350 grad_norm: 5.6931 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3878 loss: 2.3878 2022/07/22 04:14:56 - mmengine - INFO - Epoch(train) [6][1720/3757] lr: 1.0000e-02 eta: 2 days, 17:44:00 time: 0.5876 data_time: 0.2577 memory: 17350 grad_norm: 5.5987 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5343 loss: 2.5343 2022/07/22 04:15:12 - mmengine - INFO - Epoch(train) [6][1740/3757] lr: 1.0000e-02 eta: 2 days, 17:44:24 time: 0.7763 data_time: 0.4436 memory: 17350 grad_norm: 5.5954 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5490 loss: 2.5490 2022/07/22 04:15:24 - mmengine - INFO - Epoch(train) [6][1760/3757] lr: 1.0000e-02 eta: 2 days, 17:43:47 time: 0.5955 data_time: 0.2595 memory: 17350 grad_norm: 5.4680 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5896 loss: 2.5896 2022/07/22 04:15:38 - mmengine - INFO - Epoch(train) [6][1780/3757] lr: 1.0000e-02 eta: 2 days, 17:43:55 time: 0.7282 data_time: 0.3922 memory: 17350 grad_norm: 5.5528 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3961 loss: 2.3961 2022/07/22 04:15:50 - mmengine - INFO - Epoch(train) [6][1800/3757] lr: 1.0000e-02 eta: 2 days, 17:43:16 time: 0.5940 data_time: 0.2632 memory: 17350 grad_norm: 5.5877 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1881 loss: 2.1881 2022/07/22 04:16:05 - mmengine - INFO - Epoch(train) [6][1820/3757] lr: 1.0000e-02 eta: 2 days, 17:43:29 time: 0.7421 data_time: 0.4002 memory: 17350 grad_norm: 5.3702 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.4612 loss: 2.4612 2022/07/22 04:16:17 - mmengine - INFO - Epoch(train) [6][1840/3757] lr: 1.0000e-02 eta: 2 days, 17:42:59 time: 0.6164 data_time: 0.2600 memory: 17350 grad_norm: 5.4891 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9191 loss: 2.9191 2022/07/22 04:16:32 - mmengine - INFO - Epoch(train) [6][1860/3757] lr: 1.0000e-02 eta: 2 days, 17:43:12 time: 0.7435 data_time: 0.3467 memory: 17350 grad_norm: 5.4179 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5588 loss: 2.5588 2022/07/22 04:16:44 - mmengine - INFO - Epoch(train) [6][1880/3757] lr: 1.0000e-02 eta: 2 days, 17:42:34 time: 0.5953 data_time: 0.2668 memory: 17350 grad_norm: 5.6199 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3402 loss: 2.3402 2022/07/22 04:16:59 - mmengine - INFO - Epoch(train) [6][1900/3757] lr: 1.0000e-02 eta: 2 days, 17:42:48 time: 0.7465 data_time: 0.3809 memory: 17350 grad_norm: 5.5375 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3499 loss: 2.3499 2022/07/22 04:17:11 - mmengine - INFO - Epoch(train) [6][1920/3757] lr: 1.0000e-02 eta: 2 days, 17:42:12 time: 0.5996 data_time: 0.1956 memory: 17350 grad_norm: 5.6189 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5288 loss: 2.5288 2022/07/22 04:17:25 - mmengine - INFO - Epoch(train) [6][1940/3757] lr: 1.0000e-02 eta: 2 days, 17:42:17 time: 0.7189 data_time: 0.2236 memory: 17350 grad_norm: 5.5900 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3806 loss: 2.3806 2022/07/22 04:17:38 - mmengine - INFO - Epoch(train) [6][1960/3757] lr: 1.0000e-02 eta: 2 days, 17:41:41 time: 0.6018 data_time: 0.1381 memory: 17350 grad_norm: 5.5883 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6540 loss: 2.6540 2022/07/22 04:17:52 - mmengine - INFO - Epoch(train) [6][1980/3757] lr: 1.0000e-02 eta: 2 days, 17:41:50 time: 0.7318 data_time: 0.1350 memory: 17350 grad_norm: 5.4317 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6392 loss: 2.6392 2022/07/22 04:18:04 - mmengine - INFO - Epoch(train) [6][2000/3757] lr: 1.0000e-02 eta: 2 days, 17:41:11 time: 0.5890 data_time: 0.1208 memory: 17350 grad_norm: 5.4885 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5572 loss: 2.5572 2022/07/22 04:18:19 - mmengine - INFO - Epoch(train) [6][2020/3757] lr: 1.0000e-02 eta: 2 days, 17:41:22 time: 0.7397 data_time: 0.2695 memory: 17350 grad_norm: 5.4084 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5243 loss: 2.5243 2022/07/22 04:18:31 - mmengine - INFO - Epoch(train) [6][2040/3757] lr: 1.0000e-02 eta: 2 days, 17:40:45 time: 0.5953 data_time: 0.1329 memory: 17350 grad_norm: 5.3961 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2272 loss: 2.2272 2022/07/22 04:18:45 - mmengine - INFO - Epoch(train) [6][2060/3757] lr: 1.0000e-02 eta: 2 days, 17:40:50 time: 0.7207 data_time: 0.2228 memory: 17350 grad_norm: 5.5271 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5335 loss: 2.5335 2022/07/22 04:18:57 - mmengine - INFO - Epoch(train) [6][2080/3757] lr: 1.0000e-02 eta: 2 days, 17:40:19 time: 0.6140 data_time: 0.2072 memory: 17350 grad_norm: 5.5547 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4699 loss: 2.4699 2022/07/22 04:19:11 - mmengine - INFO - Epoch(train) [6][2100/3757] lr: 1.0000e-02 eta: 2 days, 17:40:16 time: 0.6956 data_time: 0.2077 memory: 17350 grad_norm: 5.6305 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5917 loss: 2.5917 2022/07/22 04:19:24 - mmengine - INFO - Epoch(train) [6][2120/3757] lr: 1.0000e-02 eta: 2 days, 17:39:57 time: 0.6501 data_time: 0.0978 memory: 17350 grad_norm: 5.7036 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3698 loss: 2.3698 2022/07/22 04:19:38 - mmengine - INFO - Epoch(train) [6][2140/3757] lr: 1.0000e-02 eta: 2 days, 17:39:54 time: 0.6963 data_time: 0.1001 memory: 17350 grad_norm: 5.4240 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3654 loss: 2.3654 2022/07/22 04:19:51 - mmengine - INFO - Epoch(train) [6][2160/3757] lr: 1.0000e-02 eta: 2 days, 17:39:34 time: 0.6474 data_time: 0.1156 memory: 17350 grad_norm: 5.4872 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3769 loss: 2.3769 2022/07/22 04:20:05 - mmengine - INFO - Epoch(train) [6][2180/3757] lr: 1.0000e-02 eta: 2 days, 17:39:30 time: 0.6945 data_time: 0.0868 memory: 17350 grad_norm: 5.5741 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5659 loss: 2.5659 2022/07/22 04:20:19 - mmengine - INFO - Epoch(train) [6][2200/3757] lr: 1.0000e-02 eta: 2 days, 17:39:27 time: 0.6963 data_time: 0.0534 memory: 17350 grad_norm: 5.5313 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4229 loss: 2.4229 2022/07/22 04:20:29 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 04:20:32 - mmengine - INFO - Epoch(train) [6][2220/3757] lr: 1.0000e-02 eta: 2 days, 17:39:08 time: 0.6500 data_time: 0.1075 memory: 17350 grad_norm: 5.4299 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4868 loss: 2.4868 2022/07/22 04:20:45 - mmengine - INFO - Epoch(train) [6][2240/3757] lr: 1.0000e-02 eta: 2 days, 17:38:53 time: 0.6601 data_time: 0.0797 memory: 17350 grad_norm: 5.4726 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4217 loss: 2.4217 2022/07/22 04:20:59 - mmengine - INFO - Epoch(train) [6][2260/3757] lr: 1.0000e-02 eta: 2 days, 17:38:50 time: 0.6989 data_time: 0.2260 memory: 17350 grad_norm: 5.5382 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3737 loss: 2.3737 2022/07/22 04:21:12 - mmengine - INFO - Epoch(train) [6][2280/3757] lr: 1.0000e-02 eta: 2 days, 17:38:35 time: 0.6606 data_time: 0.1406 memory: 17350 grad_norm: 5.5480 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5413 loss: 2.5413 2022/07/22 04:21:26 - mmengine - INFO - Epoch(train) [6][2300/3757] lr: 1.0000e-02 eta: 2 days, 17:38:22 time: 0.6660 data_time: 0.1308 memory: 17350 grad_norm: 5.4402 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3850 loss: 2.3850 2022/07/22 04:21:40 - mmengine - INFO - Epoch(train) [6][2320/3757] lr: 1.0000e-02 eta: 2 days, 17:38:23 time: 0.7113 data_time: 0.0507 memory: 17350 grad_norm: 5.5091 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5899 loss: 2.5899 2022/07/22 04:21:52 - mmengine - INFO - Epoch(train) [6][2340/3757] lr: 1.0000e-02 eta: 2 days, 17:37:57 time: 0.6283 data_time: 0.0284 memory: 17350 grad_norm: 5.3935 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5298 loss: 2.5298 2022/07/22 04:22:06 - mmengine - INFO - Epoch(train) [6][2360/3757] lr: 1.0000e-02 eta: 2 days, 17:37:46 time: 0.6732 data_time: 0.0353 memory: 17350 grad_norm: 5.6023 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4048 loss: 2.4048 2022/07/22 04:22:20 - mmengine - INFO - Epoch(train) [6][2380/3757] lr: 1.0000e-02 eta: 2 days, 17:37:38 time: 0.6809 data_time: 0.1527 memory: 17350 grad_norm: 5.6644 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5128 loss: 2.5128 2022/07/22 04:22:32 - mmengine - INFO - Epoch(train) [6][2400/3757] lr: 1.0000e-02 eta: 2 days, 17:37:04 time: 0.6043 data_time: 0.2039 memory: 17350 grad_norm: 5.5088 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4734 loss: 2.4734 2022/07/22 04:22:46 - mmengine - INFO - Epoch(train) [6][2420/3757] lr: 1.0000e-02 eta: 2 days, 17:37:00 time: 0.6948 data_time: 0.3583 memory: 17350 grad_norm: 5.4400 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2628 loss: 2.2628 2022/07/22 04:22:58 - mmengine - INFO - Epoch(train) [6][2440/3757] lr: 1.0000e-02 eta: 2 days, 17:36:35 time: 0.6320 data_time: 0.2041 memory: 17350 grad_norm: 5.5776 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4224 loss: 2.4224 2022/07/22 04:23:11 - mmengine - INFO - Epoch(train) [6][2460/3757] lr: 1.0000e-02 eta: 2 days, 17:36:19 time: 0.6587 data_time: 0.2022 memory: 17350 grad_norm: 5.3675 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5996 loss: 2.5996 2022/07/22 04:23:25 - mmengine - INFO - Epoch(train) [6][2480/3757] lr: 1.0000e-02 eta: 2 days, 17:36:07 time: 0.6698 data_time: 0.3066 memory: 17350 grad_norm: 5.3933 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4030 loss: 2.4030 2022/07/22 04:23:39 - mmengine - INFO - Epoch(train) [6][2500/3757] lr: 1.0000e-02 eta: 2 days, 17:36:11 time: 0.7186 data_time: 0.3277 memory: 17350 grad_norm: 5.4314 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2614 loss: 2.2614 2022/07/22 04:23:51 - mmengine - INFO - Epoch(train) [6][2520/3757] lr: 1.0000e-02 eta: 2 days, 17:35:38 time: 0.6062 data_time: 0.2424 memory: 17350 grad_norm: 5.5817 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5215 loss: 2.5215 2022/07/22 04:24:05 - mmengine - INFO - Epoch(train) [6][2540/3757] lr: 1.0000e-02 eta: 2 days, 17:35:32 time: 0.6879 data_time: 0.3136 memory: 17350 grad_norm: 5.4990 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2716 loss: 2.2716 2022/07/22 04:24:19 - mmengine - INFO - Epoch(train) [6][2560/3757] lr: 1.0000e-02 eta: 2 days, 17:35:23 time: 0.6804 data_time: 0.1739 memory: 17350 grad_norm: 5.4401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6233 loss: 2.6233 2022/07/22 04:24:32 - mmengine - INFO - Epoch(train) [6][2580/3757] lr: 1.0000e-02 eta: 2 days, 17:35:09 time: 0.6657 data_time: 0.2153 memory: 17350 grad_norm: 5.5549 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5837 loss: 2.5837 2022/07/22 04:24:45 - mmengine - INFO - Epoch(train) [6][2600/3757] lr: 1.0000e-02 eta: 2 days, 17:34:51 time: 0.6508 data_time: 0.1614 memory: 17350 grad_norm: 5.5706 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4680 loss: 2.4680 2022/07/22 04:24:59 - mmengine - INFO - Epoch(train) [6][2620/3757] lr: 1.0000e-02 eta: 2 days, 17:34:55 time: 0.7192 data_time: 0.3392 memory: 17350 grad_norm: 5.6334 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7409 loss: 2.7409 2022/07/22 04:25:12 - mmengine - INFO - Epoch(train) [6][2640/3757] lr: 1.0000e-02 eta: 2 days, 17:34:29 time: 0.6276 data_time: 0.2982 memory: 17350 grad_norm: 5.7803 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4784 loss: 2.4784 2022/07/22 04:25:25 - mmengine - INFO - Epoch(train) [6][2660/3757] lr: 1.0000e-02 eta: 2 days, 17:34:15 time: 0.6634 data_time: 0.3052 memory: 17350 grad_norm: 5.5271 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3955 loss: 2.3955 2022/07/22 04:25:38 - mmengine - INFO - Epoch(train) [6][2680/3757] lr: 1.0000e-02 eta: 2 days, 17:33:55 time: 0.6475 data_time: 0.2046 memory: 17350 grad_norm: 5.5909 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4785 loss: 2.4785 2022/07/22 04:25:52 - mmengine - INFO - Epoch(train) [6][2700/3757] lr: 1.0000e-02 eta: 2 days, 17:33:56 time: 0.7089 data_time: 0.2311 memory: 17350 grad_norm: 5.4679 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4157 loss: 2.4157 2022/07/22 04:26:04 - mmengine - INFO - Epoch(train) [6][2720/3757] lr: 1.0000e-02 eta: 2 days, 17:33:22 time: 0.6041 data_time: 0.1369 memory: 17350 grad_norm: 5.4752 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1888 loss: 2.1888 2022/07/22 04:26:19 - mmengine - INFO - Epoch(train) [6][2740/3757] lr: 1.0000e-02 eta: 2 days, 17:33:25 time: 0.7172 data_time: 0.1699 memory: 17350 grad_norm: 5.4031 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4388 loss: 2.4388 2022/07/22 04:26:31 - mmengine - INFO - Epoch(train) [6][2760/3757] lr: 1.0000e-02 eta: 2 days, 17:32:59 time: 0.6276 data_time: 0.1377 memory: 17350 grad_norm: 5.6370 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7015 loss: 2.7015 2022/07/22 04:26:46 - mmengine - INFO - Epoch(train) [6][2780/3757] lr: 1.0000e-02 eta: 2 days, 17:33:05 time: 0.7237 data_time: 0.1459 memory: 17350 grad_norm: 5.5564 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4142 loss: 2.4142 2022/07/22 04:26:58 - mmengine - INFO - Epoch(train) [6][2800/3757] lr: 1.0000e-02 eta: 2 days, 17:32:31 time: 0.6030 data_time: 0.0292 memory: 17350 grad_norm: 5.7343 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6100 loss: 2.6100 2022/07/22 04:27:13 - mmengine - INFO - Epoch(train) [6][2820/3757] lr: 1.0000e-02 eta: 2 days, 17:32:44 time: 0.7468 data_time: 0.0871 memory: 17350 grad_norm: 5.4263 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6240 loss: 2.6240 2022/07/22 04:27:25 - mmengine - INFO - Epoch(train) [6][2840/3757] lr: 1.0000e-02 eta: 2 days, 17:32:15 time: 0.6182 data_time: 0.0430 memory: 17350 grad_norm: 5.3279 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4796 loss: 2.4796 2022/07/22 04:27:41 - mmengine - INFO - Epoch(train) [6][2860/3757] lr: 1.0000e-02 eta: 2 days, 17:32:37 time: 0.7744 data_time: 0.0980 memory: 17350 grad_norm: 5.6250 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5381 loss: 2.5381 2022/07/22 04:27:52 - mmengine - INFO - Epoch(train) [6][2880/3757] lr: 1.0000e-02 eta: 2 days, 17:31:54 time: 0.5755 data_time: 0.0663 memory: 17350 grad_norm: 5.4720 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8780 loss: 2.8780 2022/07/22 04:28:06 - mmengine - INFO - Epoch(train) [6][2900/3757] lr: 1.0000e-02 eta: 2 days, 17:31:55 time: 0.7115 data_time: 0.1399 memory: 17350 grad_norm: 5.4389 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3842 loss: 2.3842 2022/07/22 04:28:18 - mmengine - INFO - Epoch(train) [6][2920/3757] lr: 1.0000e-02 eta: 2 days, 17:31:18 time: 0.5943 data_time: 0.0840 memory: 17350 grad_norm: 5.2730 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4396 loss: 2.4396 2022/07/22 04:28:33 - mmengine - INFO - Epoch(train) [6][2940/3757] lr: 1.0000e-02 eta: 2 days, 17:31:28 time: 0.7382 data_time: 0.0745 memory: 17350 grad_norm: 5.8067 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6914 loss: 2.6914 2022/07/22 04:28:45 - mmengine - INFO - Epoch(train) [6][2960/3757] lr: 1.0000e-02 eta: 2 days, 17:31:00 time: 0.6206 data_time: 0.0329 memory: 17350 grad_norm: 5.4905 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3834 loss: 2.3834 2022/07/22 04:29:00 - mmengine - INFO - Epoch(train) [6][2980/3757] lr: 1.0000e-02 eta: 2 days, 17:31:01 time: 0.7090 data_time: 0.0481 memory: 17350 grad_norm: 5.4858 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3760 loss: 2.3760 2022/07/22 04:29:12 - mmengine - INFO - Epoch(train) [6][3000/3757] lr: 1.0000e-02 eta: 2 days, 17:30:29 time: 0.6108 data_time: 0.0263 memory: 17350 grad_norm: 5.4876 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4074 loss: 2.4074 2022/07/22 04:29:26 - mmengine - INFO - Epoch(train) [6][3020/3757] lr: 1.0000e-02 eta: 2 days, 17:30:33 time: 0.7190 data_time: 0.0415 memory: 17350 grad_norm: 5.4454 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3619 loss: 2.3619 2022/07/22 04:29:38 - mmengine - INFO - Epoch(train) [6][3040/3757] lr: 1.0000e-02 eta: 2 days, 17:29:58 time: 0.5996 data_time: 0.0524 memory: 17350 grad_norm: 5.4268 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1424 loss: 2.1424 2022/07/22 04:29:53 - mmengine - INFO - Epoch(train) [6][3060/3757] lr: 1.0000e-02 eta: 2 days, 17:30:11 time: 0.7478 data_time: 0.0731 memory: 17350 grad_norm: 5.5145 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5284 loss: 2.5284 2022/07/22 04:30:06 - mmengine - INFO - Epoch(train) [6][3080/3757] lr: 1.0000e-02 eta: 2 days, 17:29:45 time: 0.6265 data_time: 0.0240 memory: 17350 grad_norm: 5.7827 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7993 loss: 2.7993 2022/07/22 04:30:20 - mmengine - INFO - Epoch(train) [6][3100/3757] lr: 1.0000e-02 eta: 2 days, 17:29:43 time: 0.7008 data_time: 0.0221 memory: 17350 grad_norm: 5.6358 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6542 loss: 2.6542 2022/07/22 04:30:32 - mmengine - INFO - Epoch(train) [6][3120/3757] lr: 1.0000e-02 eta: 2 days, 17:29:15 time: 0.6219 data_time: 0.0240 memory: 17350 grad_norm: 5.6639 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5084 loss: 2.5084 2022/07/22 04:30:46 - mmengine - INFO - Epoch(train) [6][3140/3757] lr: 1.0000e-02 eta: 2 days, 17:29:18 time: 0.7165 data_time: 0.0212 memory: 17350 grad_norm: 5.4688 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5131 loss: 2.5131 2022/07/22 04:30:58 - mmengine - INFO - Epoch(train) [6][3160/3757] lr: 1.0000e-02 eta: 2 days, 17:28:43 time: 0.5985 data_time: 0.0233 memory: 17350 grad_norm: 5.5176 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5293 loss: 2.5293 2022/07/22 04:31:13 - mmengine - INFO - Epoch(train) [6][3180/3757] lr: 1.0000e-02 eta: 2 days, 17:28:51 time: 0.7330 data_time: 0.0220 memory: 17350 grad_norm: 5.5237 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4987 loss: 2.4987 2022/07/22 04:31:26 - mmengine - INFO - Epoch(train) [6][3200/3757] lr: 1.0000e-02 eta: 2 days, 17:28:25 time: 0.6269 data_time: 0.0228 memory: 17350 grad_norm: 5.4793 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4568 loss: 2.4568 2022/07/22 04:31:36 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 04:31:40 - mmengine - INFO - Epoch(train) [6][3220/3757] lr: 1.0000e-02 eta: 2 days, 17:28:26 time: 0.7133 data_time: 0.0244 memory: 17350 grad_norm: 5.2421 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4444 loss: 2.4444 2022/07/22 04:31:52 - mmengine - INFO - Epoch(train) [6][3240/3757] lr: 1.0000e-02 eta: 2 days, 17:27:55 time: 0.6085 data_time: 0.0221 memory: 17350 grad_norm: 5.2388 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4608 loss: 2.4608 2022/07/22 04:32:07 - mmengine - INFO - Epoch(train) [6][3260/3757] lr: 1.0000e-02 eta: 2 days, 17:28:03 time: 0.7339 data_time: 0.0232 memory: 17350 grad_norm: 5.4700 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3817 loss: 2.3817 2022/07/22 04:32:19 - mmengine - INFO - Epoch(train) [6][3280/3757] lr: 1.0000e-02 eta: 2 days, 17:27:30 time: 0.6047 data_time: 0.0240 memory: 17350 grad_norm: 5.4696 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5514 loss: 2.5514 2022/07/22 04:32:33 - mmengine - INFO - Epoch(train) [6][3300/3757] lr: 1.0000e-02 eta: 2 days, 17:27:28 time: 0.7034 data_time: 0.0218 memory: 17350 grad_norm: 5.3884 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2679 loss: 2.2679 2022/07/22 04:32:46 - mmengine - INFO - Epoch(train) [6][3320/3757] lr: 1.0000e-02 eta: 2 days, 17:27:13 time: 0.6606 data_time: 0.0227 memory: 17350 grad_norm: 5.6441 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5058 loss: 2.5058 2022/07/22 04:33:00 - mmengine - INFO - Epoch(train) [6][3340/3757] lr: 1.0000e-02 eta: 2 days, 17:27:02 time: 0.6732 data_time: 0.0225 memory: 17350 grad_norm: 5.5235 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4708 loss: 2.4708 2022/07/22 04:33:13 - mmengine - INFO - Epoch(train) [6][3360/3757] lr: 1.0000e-02 eta: 2 days, 17:26:56 time: 0.6903 data_time: 0.0218 memory: 17350 grad_norm: 5.4288 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7507 loss: 2.7507 2022/07/22 04:33:27 - mmengine - INFO - Epoch(train) [6][3380/3757] lr: 1.0000e-02 eta: 2 days, 17:26:42 time: 0.6620 data_time: 0.0215 memory: 17350 grad_norm: 5.4440 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2559 loss: 2.2559 2022/07/22 04:33:40 - mmengine - INFO - Epoch(train) [6][3400/3757] lr: 1.0000e-02 eta: 2 days, 17:26:23 time: 0.6488 data_time: 0.0255 memory: 17350 grad_norm: 5.4610 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3082 loss: 2.3082 2022/07/22 04:33:53 - mmengine - INFO - Epoch(train) [6][3420/3757] lr: 1.0000e-02 eta: 2 days, 17:26:12 time: 0.6766 data_time: 0.0227 memory: 17350 grad_norm: 5.5701 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5381 loss: 2.5381 2022/07/22 04:34:07 - mmengine - INFO - Epoch(train) [6][3440/3757] lr: 1.0000e-02 eta: 2 days, 17:26:12 time: 0.7065 data_time: 0.0225 memory: 17350 grad_norm: 5.2824 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4223 loss: 2.4223 2022/07/22 04:34:20 - mmengine - INFO - Epoch(train) [6][3460/3757] lr: 1.0000e-02 eta: 2 days, 17:25:47 time: 0.6302 data_time: 0.0234 memory: 17350 grad_norm: 5.4745 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5526 loss: 2.5526 2022/07/22 04:34:33 - mmengine - INFO - Epoch(train) [6][3480/3757] lr: 1.0000e-02 eta: 2 days, 17:25:24 time: 0.6348 data_time: 0.0224 memory: 17350 grad_norm: 5.4030 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7369 loss: 2.7369 2022/07/22 04:34:47 - mmengine - INFO - Epoch(train) [6][3500/3757] lr: 1.0000e-02 eta: 2 days, 17:25:23 time: 0.7065 data_time: 0.0225 memory: 17350 grad_norm: 5.2489 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1384 loss: 2.1384 2022/07/22 04:35:00 - mmengine - INFO - Epoch(train) [6][3520/3757] lr: 1.0000e-02 eta: 2 days, 17:25:01 time: 0.6385 data_time: 0.0243 memory: 17350 grad_norm: 5.2747 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4038 loss: 2.4038 2022/07/22 04:35:15 - mmengine - INFO - Epoch(train) [6][3540/3757] lr: 1.0000e-02 eta: 2 days, 17:25:24 time: 0.7821 data_time: 0.0223 memory: 17350 grad_norm: 5.4454 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4989 loss: 2.4989 2022/07/22 04:35:26 - mmengine - INFO - Epoch(train) [6][3560/3757] lr: 1.0000e-02 eta: 2 days, 17:24:38 time: 0.5617 data_time: 0.0214 memory: 17350 grad_norm: 5.5751 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5448 loss: 2.5448 2022/07/22 04:35:41 - mmengine - INFO - Epoch(train) [6][3580/3757] lr: 1.0000e-02 eta: 2 days, 17:24:48 time: 0.7399 data_time: 0.0217 memory: 17350 grad_norm: 5.4344 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4798 loss: 2.4798 2022/07/22 04:35:53 - mmengine - INFO - Epoch(train) [6][3600/3757] lr: 1.0000e-02 eta: 2 days, 17:24:16 time: 0.6077 data_time: 0.0242 memory: 17350 grad_norm: 5.3616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3739 loss: 2.3739 2022/07/22 04:36:08 - mmengine - INFO - Epoch(train) [6][3620/3757] lr: 1.0000e-02 eta: 2 days, 17:24:26 time: 0.7403 data_time: 0.0215 memory: 17350 grad_norm: 5.3756 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7336 loss: 2.7336 2022/07/22 04:36:20 - mmengine - INFO - Epoch(train) [6][3640/3757] lr: 1.0000e-02 eta: 2 days, 17:23:47 time: 0.5846 data_time: 0.0235 memory: 17350 grad_norm: 5.5616 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4025 loss: 2.4025 2022/07/22 04:36:33 - mmengine - INFO - Epoch(train) [6][3660/3757] lr: 1.0000e-02 eta: 2 days, 17:23:36 time: 0.6766 data_time: 0.0221 memory: 17350 grad_norm: 5.5545 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5547 loss: 2.5547 2022/07/22 04:36:46 - mmengine - INFO - Epoch(train) [6][3680/3757] lr: 1.0000e-02 eta: 2 days, 17:23:16 time: 0.6432 data_time: 0.0215 memory: 17350 grad_norm: 5.3402 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5051 loss: 2.5051 2022/07/22 04:37:00 - mmengine - INFO - Epoch(train) [6][3700/3757] lr: 1.0000e-02 eta: 2 days, 17:23:13 time: 0.7008 data_time: 0.0250 memory: 17350 grad_norm: 5.3582 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4046 loss: 2.4046 2022/07/22 04:37:13 - mmengine - INFO - Epoch(train) [6][3720/3757] lr: 1.0000e-02 eta: 2 days, 17:22:53 time: 0.6434 data_time: 0.0236 memory: 17350 grad_norm: 5.3683 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4242 loss: 2.4242 2022/07/22 04:37:28 - mmengine - INFO - Epoch(train) [6][3740/3757] lr: 1.0000e-02 eta: 2 days, 17:22:59 time: 0.7294 data_time: 0.0217 memory: 17350 grad_norm: 5.4251 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2260 loss: 2.2260 2022/07/22 04:37:35 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 04:37:35 - mmengine - INFO - Epoch(train) [6][3757/3757] lr: 1.0000e-02 eta: 2 days, 17:22:59 time: 0.5274 data_time: 0.0226 memory: 17350 grad_norm: 5.3042 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.2773 loss: 2.2773 2022/07/22 04:37:52 - mmengine - INFO - Epoch(val) [6][20/310] eta: 0:04:03 time: 0.8413 data_time: 0.7275 memory: 3406 2022/07/22 04:38:03 - mmengine - INFO - Epoch(val) [6][40/310] eta: 0:02:33 time: 0.5679 data_time: 0.4567 memory: 3406 2022/07/22 04:38:18 - mmengine - INFO - Epoch(val) [6][60/310] eta: 0:03:09 time: 0.7587 data_time: 0.6455 memory: 3406 2022/07/22 04:38:29 - mmengine - INFO - Epoch(val) [6][80/310] eta: 0:02:02 time: 0.5341 data_time: 0.4206 memory: 3406 2022/07/22 04:38:44 - mmengine - INFO - Epoch(val) [6][100/310] eta: 0:02:40 time: 0.7629 data_time: 0.6506 memory: 3406 2022/07/22 04:38:55 - mmengine - INFO - Epoch(val) [6][120/310] eta: 0:01:46 time: 0.5609 data_time: 0.4481 memory: 3406 2022/07/22 04:39:11 - mmengine - INFO - Epoch(val) [6][140/310] eta: 0:02:13 time: 0.7873 data_time: 0.6703 memory: 3406 2022/07/22 04:39:22 - mmengine - INFO - Epoch(val) [6][160/310] eta: 0:01:24 time: 0.5635 data_time: 0.4510 memory: 3406 2022/07/22 04:39:38 - mmengine - INFO - Epoch(val) [6][180/310] eta: 0:01:44 time: 0.8002 data_time: 0.6864 memory: 3406 2022/07/22 04:39:49 - mmengine - INFO - Epoch(val) [6][200/310] eta: 0:00:59 time: 0.5373 data_time: 0.4248 memory: 3406 2022/07/22 04:40:06 - mmengine - INFO - Epoch(val) [6][220/310] eta: 0:01:13 time: 0.8196 data_time: 0.7052 memory: 3406 2022/07/22 04:40:16 - mmengine - INFO - Epoch(val) [6][240/310] eta: 0:00:37 time: 0.5408 data_time: 0.4281 memory: 3406 2022/07/22 04:40:33 - mmengine - INFO - Epoch(val) [6][260/310] eta: 0:00:40 time: 0.8055 data_time: 0.6924 memory: 3406 2022/07/22 04:40:44 - mmengine - INFO - Epoch(val) [6][280/310] eta: 0:00:16 time: 0.5569 data_time: 0.4454 memory: 3406 2022/07/22 04:40:58 - mmengine - INFO - Epoch(val) [6][300/310] eta: 0:00:07 time: 0.7378 data_time: 0.6251 memory: 3406 2022/07/22 04:41:03 - mmengine - INFO - Epoch(val) [6][310/310] acc/top1: 0.4917 acc/top5: 0.7617 acc/mean1: 0.4916 2022/07/22 04:41:03 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_6.pth is removed 2022/07/22 04:41:07 - mmengine - INFO - The best checkpoint with 0.4917 acc/top1 at 7 epoch is saved to best_acc/top1_epoch_7.pth. 2022/07/22 04:41:21 - mmengine - INFO - Epoch(train) [7][20/3757] lr: 1.0000e-02 eta: 2 days, 17:19:48 time: 0.7008 data_time: 0.3717 memory: 17350 grad_norm: 5.3574 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.3871 loss: 2.3871 2022/07/22 04:41:34 - mmengine - INFO - Epoch(train) [7][40/3757] lr: 1.0000e-02 eta: 2 days, 17:19:28 time: 0.6439 data_time: 0.3295 memory: 17350 grad_norm: 5.1968 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5566 loss: 2.5566 2022/07/22 04:41:49 - mmengine - INFO - Epoch(train) [7][60/3757] lr: 1.0000e-02 eta: 2 days, 17:19:30 time: 0.7173 data_time: 0.3963 memory: 17350 grad_norm: 5.4912 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4804 loss: 2.4804 2022/07/22 04:42:02 - mmengine - INFO - Epoch(train) [7][80/3757] lr: 1.0000e-02 eta: 2 days, 17:19:23 time: 0.6855 data_time: 0.3639 memory: 17350 grad_norm: 5.5751 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4865 loss: 2.4865 2022/07/22 04:42:16 - mmengine - INFO - Epoch(train) [7][100/3757] lr: 1.0000e-02 eta: 2 days, 17:19:21 time: 0.7028 data_time: 0.3787 memory: 17350 grad_norm: 5.3529 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4520 loss: 2.4520 2022/07/22 04:42:29 - mmengine - INFO - Epoch(train) [7][120/3757] lr: 1.0000e-02 eta: 2 days, 17:18:54 time: 0.6208 data_time: 0.2901 memory: 17350 grad_norm: 5.4184 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3661 loss: 2.3661 2022/07/22 04:42:44 - mmengine - INFO - Epoch(train) [7][140/3757] lr: 1.0000e-02 eta: 2 days, 17:19:06 time: 0.7476 data_time: 0.4117 memory: 17350 grad_norm: 5.6956 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6254 loss: 2.6254 2022/07/22 04:42:56 - mmengine - INFO - Epoch(train) [7][160/3757] lr: 1.0000e-02 eta: 2 days, 17:18:38 time: 0.6177 data_time: 0.2913 memory: 17350 grad_norm: 5.3383 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6389 loss: 2.6389 2022/07/22 04:43:09 - mmengine - INFO - Epoch(train) [7][180/3757] lr: 1.0000e-02 eta: 2 days, 17:18:15 time: 0.6345 data_time: 0.3126 memory: 17350 grad_norm: 5.3865 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5104 loss: 2.5104 2022/07/22 04:43:22 - mmengine - INFO - Epoch(train) [7][200/3757] lr: 1.0000e-02 eta: 2 days, 17:17:58 time: 0.6562 data_time: 0.3370 memory: 17350 grad_norm: 5.5499 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9650 loss: 1.9650 2022/07/22 04:43:36 - mmengine - INFO - Epoch(train) [7][220/3757] lr: 1.0000e-02 eta: 2 days, 17:17:56 time: 0.7005 data_time: 0.3784 memory: 17350 grad_norm: 5.4604 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5117 loss: 2.5117 2022/07/22 04:43:49 - mmengine - INFO - Epoch(train) [7][240/3757] lr: 1.0000e-02 eta: 2 days, 17:17:34 time: 0.6392 data_time: 0.3151 memory: 17350 grad_norm: 5.4339 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9060 loss: 2.9060 2022/07/22 04:44:03 - mmengine - INFO - Epoch(train) [7][260/3757] lr: 1.0000e-02 eta: 2 days, 17:17:36 time: 0.7175 data_time: 0.3906 memory: 17350 grad_norm: 5.5752 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7612 loss: 2.7612 2022/07/22 04:44:15 - mmengine - INFO - Epoch(train) [7][280/3757] lr: 1.0000e-02 eta: 2 days, 17:17:07 time: 0.6144 data_time: 0.2893 memory: 17350 grad_norm: 5.4390 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7013 loss: 2.7013 2022/07/22 04:44:29 - mmengine - INFO - Epoch(train) [7][300/3757] lr: 1.0000e-02 eta: 2 days, 17:17:06 time: 0.7055 data_time: 0.3578 memory: 17350 grad_norm: 5.5496 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4269 loss: 2.4269 2022/07/22 04:44:42 - mmengine - INFO - Epoch(train) [7][320/3757] lr: 1.0000e-02 eta: 2 days, 17:16:38 time: 0.6198 data_time: 0.2369 memory: 17350 grad_norm: 5.5544 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3858 loss: 2.3858 2022/07/22 04:44:57 - mmengine - INFO - Epoch(train) [7][340/3757] lr: 1.0000e-02 eta: 2 days, 17:16:46 time: 0.7341 data_time: 0.4017 memory: 17350 grad_norm: 5.5228 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5811 loss: 2.5811 2022/07/22 04:45:09 - mmengine - INFO - Epoch(train) [7][360/3757] lr: 1.0000e-02 eta: 2 days, 17:16:23 time: 0.6327 data_time: 0.2773 memory: 17350 grad_norm: 5.6270 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5195 loss: 2.5195 2022/07/22 04:45:24 - mmengine - INFO - Epoch(train) [7][380/3757] lr: 1.0000e-02 eta: 2 days, 17:16:33 time: 0.7442 data_time: 0.4112 memory: 17350 grad_norm: 5.5255 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3252 loss: 2.3252 2022/07/22 04:45:36 - mmengine - INFO - Epoch(train) [7][400/3757] lr: 1.0000e-02 eta: 2 days, 17:15:55 time: 0.5864 data_time: 0.2171 memory: 17350 grad_norm: 5.6056 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3312 loss: 2.3312 2022/07/22 04:45:50 - mmengine - INFO - Epoch(train) [7][420/3757] lr: 1.0000e-02 eta: 2 days, 17:16:02 time: 0.7313 data_time: 0.3349 memory: 17350 grad_norm: 5.5893 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9125 loss: 2.9125 2022/07/22 04:46:03 - mmengine - INFO - Epoch(train) [7][440/3757] lr: 1.0000e-02 eta: 2 days, 17:15:37 time: 0.6270 data_time: 0.2288 memory: 17350 grad_norm: 5.3638 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6737 loss: 2.6737 2022/07/22 04:46:16 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 04:46:17 - mmengine - INFO - Epoch(train) [7][460/3757] lr: 1.0000e-02 eta: 2 days, 17:15:34 time: 0.7003 data_time: 0.2743 memory: 17350 grad_norm: 5.4256 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4374 loss: 2.4374 2022/07/22 04:46:30 - mmengine - INFO - Epoch(train) [7][480/3757] lr: 1.0000e-02 eta: 2 days, 17:15:19 time: 0.6607 data_time: 0.1611 memory: 17350 grad_norm: 5.4492 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7464 loss: 2.7464 2022/07/22 04:46:43 - mmengine - INFO - Epoch(train) [7][500/3757] lr: 1.0000e-02 eta: 2 days, 17:14:53 time: 0.6243 data_time: 0.1185 memory: 17350 grad_norm: 5.4613 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1664 loss: 2.1664 2022/07/22 04:46:56 - mmengine - INFO - Epoch(train) [7][520/3757] lr: 1.0000e-02 eta: 2 days, 17:14:43 time: 0.6779 data_time: 0.1003 memory: 17350 grad_norm: 5.5896 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4947 loss: 2.4947 2022/07/22 04:47:09 - mmengine - INFO - Epoch(train) [7][540/3757] lr: 1.0000e-02 eta: 2 days, 17:14:23 time: 0.6449 data_time: 0.2496 memory: 17350 grad_norm: 5.4955 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.4018 loss: 2.4018 2022/07/22 04:47:22 - mmengine - INFO - Epoch(train) [7][560/3757] lr: 1.0000e-02 eta: 2 days, 17:14:08 time: 0.6597 data_time: 0.2866 memory: 17350 grad_norm: 5.6037 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2880 loss: 2.2880 2022/07/22 04:47:36 - mmengine - INFO - Epoch(train) [7][580/3757] lr: 1.0000e-02 eta: 2 days, 17:13:58 time: 0.6766 data_time: 0.3020 memory: 17350 grad_norm: 5.2450 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1678 loss: 2.1678 2022/07/22 04:47:50 - mmengine - INFO - Epoch(train) [7][600/3757] lr: 1.0000e-02 eta: 2 days, 17:13:55 time: 0.6988 data_time: 0.1983 memory: 17350 grad_norm: 5.3053 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4796 loss: 2.4796 2022/07/22 04:48:03 - mmengine - INFO - Epoch(train) [7][620/3757] lr: 1.0000e-02 eta: 2 days, 17:13:32 time: 0.6360 data_time: 0.1737 memory: 17350 grad_norm: 5.2327 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5069 loss: 2.5069 2022/07/22 04:48:16 - mmengine - INFO - Epoch(train) [7][640/3757] lr: 1.0000e-02 eta: 2 days, 17:13:19 time: 0.6680 data_time: 0.1255 memory: 17350 grad_norm: 5.4966 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2791 loss: 2.2791 2022/07/22 04:48:29 - mmengine - INFO - Epoch(train) [7][660/3757] lr: 1.0000e-02 eta: 2 days, 17:13:02 time: 0.6517 data_time: 0.1674 memory: 17350 grad_norm: 5.3246 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2453 loss: 2.2453 2022/07/22 04:48:42 - mmengine - INFO - Epoch(train) [7][680/3757] lr: 1.0000e-02 eta: 2 days, 17:12:42 time: 0.6446 data_time: 0.1027 memory: 17350 grad_norm: 5.4895 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3580 loss: 2.3580 2022/07/22 04:48:55 - mmengine - INFO - Epoch(train) [7][700/3757] lr: 1.0000e-02 eta: 2 days, 17:12:32 time: 0.6788 data_time: 0.2786 memory: 17350 grad_norm: 5.3995 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5449 loss: 2.5449 2022/07/22 04:49:09 - mmengine - INFO - Epoch(train) [7][720/3757] lr: 1.0000e-02 eta: 2 days, 17:12:27 time: 0.6921 data_time: 0.1814 memory: 17350 grad_norm: 5.4952 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4706 loss: 2.4706 2022/07/22 04:49:21 - mmengine - INFO - Epoch(train) [7][740/3757] lr: 1.0000e-02 eta: 2 days, 17:11:55 time: 0.6040 data_time: 0.0840 memory: 17350 grad_norm: 5.5297 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5672 loss: 2.5672 2022/07/22 04:49:36 - mmengine - INFO - Epoch(train) [7][760/3757] lr: 1.0000e-02 eta: 2 days, 17:11:58 time: 0.7193 data_time: 0.0361 memory: 17350 grad_norm: 5.4044 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6073 loss: 2.6073 2022/07/22 04:49:48 - mmengine - INFO - Epoch(train) [7][780/3757] lr: 1.0000e-02 eta: 2 days, 17:11:34 time: 0.6327 data_time: 0.0969 memory: 17350 grad_norm: 5.3484 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3588 loss: 2.3588 2022/07/22 04:50:03 - mmengine - INFO - Epoch(train) [7][800/3757] lr: 1.0000e-02 eta: 2 days, 17:11:40 time: 0.7304 data_time: 0.0552 memory: 17350 grad_norm: 5.5873 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5701 loss: 2.5701 2022/07/22 04:50:15 - mmengine - INFO - Epoch(train) [7][820/3757] lr: 1.0000e-02 eta: 2 days, 17:11:09 time: 0.6064 data_time: 0.0222 memory: 17350 grad_norm: 5.4221 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4100 loss: 2.4100 2022/07/22 04:50:29 - mmengine - INFO - Epoch(train) [7][840/3757] lr: 1.0000e-02 eta: 2 days, 17:11:07 time: 0.7028 data_time: 0.0256 memory: 17350 grad_norm: 5.5446 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3160 loss: 2.3160 2022/07/22 04:50:41 - mmengine - INFO - Epoch(train) [7][860/3757] lr: 1.0000e-02 eta: 2 days, 17:10:36 time: 0.6095 data_time: 0.0247 memory: 17350 grad_norm: 5.6885 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4702 loss: 2.4702 2022/07/22 04:50:55 - mmengine - INFO - Epoch(train) [7][880/3757] lr: 1.0000e-02 eta: 2 days, 17:10:28 time: 0.6837 data_time: 0.0432 memory: 17350 grad_norm: 5.4635 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4012 loss: 2.4012 2022/07/22 04:51:08 - mmengine - INFO - Epoch(train) [7][900/3757] lr: 1.0000e-02 eta: 2 days, 17:10:07 time: 0.6400 data_time: 0.1529 memory: 17350 grad_norm: 5.4946 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1872 loss: 2.1872 2022/07/22 04:51:21 - mmengine - INFO - Epoch(train) [7][920/3757] lr: 1.0000e-02 eta: 2 days, 17:09:55 time: 0.6688 data_time: 0.1795 memory: 17350 grad_norm: 5.4983 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4845 loss: 2.4845 2022/07/22 04:51:35 - mmengine - INFO - Epoch(train) [7][940/3757] lr: 1.0000e-02 eta: 2 days, 17:09:51 time: 0.6975 data_time: 0.2063 memory: 17350 grad_norm: 5.3656 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2921 loss: 2.2921 2022/07/22 04:51:50 - mmengine - INFO - Epoch(train) [7][960/3757] lr: 1.0000e-02 eta: 2 days, 17:10:03 time: 0.7490 data_time: 0.0673 memory: 17350 grad_norm: 5.6470 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5867 loss: 2.5867 2022/07/22 04:52:02 - mmengine - INFO - Epoch(train) [7][980/3757] lr: 1.0000e-02 eta: 2 days, 17:09:28 time: 0.5951 data_time: 0.0215 memory: 17350 grad_norm: 5.3572 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3169 loss: 2.3169 2022/07/22 04:52:16 - mmengine - INFO - Epoch(train) [7][1000/3757] lr: 1.0000e-02 eta: 2 days, 17:09:27 time: 0.7069 data_time: 0.0219 memory: 17350 grad_norm: 5.4196 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6701 loss: 2.6701 2022/07/22 04:52:28 - mmengine - INFO - Epoch(train) [7][1020/3757] lr: 1.0000e-02 eta: 2 days, 17:08:55 time: 0.6054 data_time: 0.0214 memory: 17350 grad_norm: 5.3936 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7958 loss: 2.7958 2022/07/22 04:52:42 - mmengine - INFO - Epoch(train) [7][1040/3757] lr: 1.0000e-02 eta: 2 days, 17:08:51 time: 0.6944 data_time: 0.0167 memory: 17350 grad_norm: 5.4329 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2497 loss: 2.2497 2022/07/22 04:52:56 - mmengine - INFO - Epoch(train) [7][1060/3757] lr: 1.0000e-02 eta: 2 days, 17:08:38 time: 0.6689 data_time: 0.0220 memory: 17350 grad_norm: 5.4098 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1475 loss: 2.1475 2022/07/22 04:53:09 - mmengine - INFO - Epoch(train) [7][1080/3757] lr: 1.0000e-02 eta: 2 days, 17:08:18 time: 0.6450 data_time: 0.0238 memory: 17350 grad_norm: 5.3567 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4934 loss: 2.4934 2022/07/22 04:53:22 - mmengine - INFO - Epoch(train) [7][1100/3757] lr: 1.0000e-02 eta: 2 days, 17:08:01 time: 0.6517 data_time: 0.0139 memory: 17350 grad_norm: 5.5273 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2053 loss: 2.2053 2022/07/22 04:53:36 - mmengine - INFO - Epoch(train) [7][1120/3757] lr: 1.0000e-02 eta: 2 days, 17:07:59 time: 0.7043 data_time: 0.0238 memory: 17350 grad_norm: 5.5346 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5515 loss: 2.5515 2022/07/22 04:53:48 - mmengine - INFO - Epoch(train) [7][1140/3757] lr: 1.0000e-02 eta: 2 days, 17:07:35 time: 0.6309 data_time: 0.0232 memory: 17350 grad_norm: 5.5789 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4918 loss: 2.4918 2022/07/22 04:54:03 - mmengine - INFO - Epoch(train) [7][1160/3757] lr: 1.0000e-02 eta: 2 days, 17:07:50 time: 0.7623 data_time: 0.0216 memory: 17350 grad_norm: 5.5929 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5814 loss: 2.5814 2022/07/22 04:54:15 - mmengine - INFO - Epoch(train) [7][1180/3757] lr: 1.0000e-02 eta: 2 days, 17:07:15 time: 0.5911 data_time: 0.0216 memory: 17350 grad_norm: 5.5876 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5624 loss: 2.5624 2022/07/22 04:54:29 - mmengine - INFO - Epoch(train) [7][1200/3757] lr: 1.0000e-02 eta: 2 days, 17:07:13 time: 0.7050 data_time: 0.0211 memory: 17350 grad_norm: 5.2859 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4438 loss: 2.4438 2022/07/22 04:54:42 - mmengine - INFO - Epoch(train) [7][1220/3757] lr: 1.0000e-02 eta: 2 days, 17:06:48 time: 0.6263 data_time: 0.0226 memory: 17350 grad_norm: 5.3428 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3349 loss: 2.3349 2022/07/22 04:54:56 - mmengine - INFO - Epoch(train) [7][1240/3757] lr: 1.0000e-02 eta: 2 days, 17:06:45 time: 0.7023 data_time: 0.0312 memory: 17350 grad_norm: 5.5295 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5554 loss: 2.5554 2022/07/22 04:55:08 - mmengine - INFO - Epoch(train) [7][1260/3757] lr: 1.0000e-02 eta: 2 days, 17:06:20 time: 0.6249 data_time: 0.0232 memory: 17350 grad_norm: 5.4906 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3150 loss: 2.3150 2022/07/22 04:55:23 - mmengine - INFO - Epoch(train) [7][1280/3757] lr: 1.0000e-02 eta: 2 days, 17:06:30 time: 0.7455 data_time: 0.0230 memory: 17350 grad_norm: 5.5679 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3538 loss: 2.3538 2022/07/22 04:55:36 - mmengine - INFO - Epoch(train) [7][1300/3757] lr: 1.0000e-02 eta: 2 days, 17:06:02 time: 0.6152 data_time: 0.0224 memory: 17350 grad_norm: 5.4817 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3457 loss: 2.3457 2022/07/22 04:55:51 - mmengine - INFO - Epoch(train) [7][1320/3757] lr: 1.0000e-02 eta: 2 days, 17:06:15 time: 0.7557 data_time: 0.0206 memory: 17350 grad_norm: 5.6496 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5171 loss: 2.5171 2022/07/22 04:56:02 - mmengine - INFO - Epoch(train) [7][1340/3757] lr: 1.0000e-02 eta: 2 days, 17:05:27 time: 0.5497 data_time: 0.0240 memory: 17350 grad_norm: 5.4775 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2551 loss: 2.2551 2022/07/22 04:56:18 - mmengine - INFO - Epoch(train) [7][1360/3757] lr: 1.0000e-02 eta: 2 days, 17:05:50 time: 0.7877 data_time: 0.0217 memory: 17350 grad_norm: 5.5311 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4542 loss: 2.4542 2022/07/22 04:56:29 - mmengine - INFO - Epoch(train) [7][1380/3757] lr: 1.0000e-02 eta: 2 days, 17:05:12 time: 0.5826 data_time: 0.0240 memory: 17350 grad_norm: 5.4150 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3915 loss: 2.3915 2022/07/22 04:56:43 - mmengine - INFO - Epoch(train) [7][1400/3757] lr: 1.0000e-02 eta: 2 days, 17:05:11 time: 0.7102 data_time: 0.1059 memory: 17350 grad_norm: 5.3879 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.2467 loss: 2.2467 2022/07/22 04:56:56 - mmengine - INFO - Epoch(train) [7][1420/3757] lr: 1.0000e-02 eta: 2 days, 17:04:43 time: 0.6152 data_time: 0.1814 memory: 17350 grad_norm: 5.3735 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2328 loss: 2.2328 2022/07/22 04:57:11 - mmengine - INFO - Epoch(train) [7][1440/3757] lr: 1.0000e-02 eta: 2 days, 17:04:52 time: 0.7400 data_time: 0.1724 memory: 17350 grad_norm: 5.4150 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5636 loss: 2.5636 2022/07/22 04:57:22 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 04:57:23 - mmengine - INFO - Epoch(train) [7][1460/3757] lr: 1.0000e-02 eta: 2 days, 17:04:23 time: 0.6151 data_time: 0.0459 memory: 17350 grad_norm: 5.4872 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3979 loss: 2.3979 2022/07/22 04:57:37 - mmengine - INFO - Epoch(train) [7][1480/3757] lr: 1.0000e-02 eta: 2 days, 17:04:28 time: 0.7271 data_time: 0.0449 memory: 17350 grad_norm: 5.3152 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3499 loss: 2.3499 2022/07/22 04:57:50 - mmengine - INFO - Epoch(train) [7][1500/3757] lr: 1.0000e-02 eta: 2 days, 17:04:04 time: 0.6303 data_time: 0.0226 memory: 17350 grad_norm: 5.5985 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4700 loss: 2.4700 2022/07/22 04:58:05 - mmengine - INFO - Epoch(train) [7][1520/3757] lr: 1.0000e-02 eta: 2 days, 17:04:14 time: 0.7450 data_time: 0.0216 memory: 17350 grad_norm: 5.4924 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4801 loss: 2.4801 2022/07/22 04:58:17 - mmengine - INFO - Epoch(train) [7][1540/3757] lr: 1.0000e-02 eta: 2 days, 17:03:40 time: 0.5980 data_time: 0.0225 memory: 17350 grad_norm: 5.4876 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.2849 loss: 2.2849 2022/07/22 04:58:30 - mmengine - INFO - Epoch(train) [7][1560/3757] lr: 1.0000e-02 eta: 2 days, 17:03:31 time: 0.6803 data_time: 0.0217 memory: 17350 grad_norm: 5.4115 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5064 loss: 2.5064 2022/07/22 04:58:43 - mmengine - INFO - Epoch(train) [7][1580/3757] lr: 1.0000e-02 eta: 2 days, 17:03:11 time: 0.6422 data_time: 0.0234 memory: 17350 grad_norm: 5.3667 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3156 loss: 2.3156 2022/07/22 04:58:57 - mmengine - INFO - Epoch(train) [7][1600/3757] lr: 1.0000e-02 eta: 2 days, 17:03:02 time: 0.6826 data_time: 0.0212 memory: 17350 grad_norm: 5.4978 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3393 loss: 2.3393 2022/07/22 04:59:09 - mmengine - INFO - Epoch(train) [7][1620/3757] lr: 1.0000e-02 eta: 2 days, 17:02:35 time: 0.6173 data_time: 0.0232 memory: 17350 grad_norm: 5.5975 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5789 loss: 2.5789 2022/07/22 04:59:24 - mmengine - INFO - Epoch(train) [7][1640/3757] lr: 1.0000e-02 eta: 2 days, 17:02:37 time: 0.7184 data_time: 0.0232 memory: 17350 grad_norm: 5.3956 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1843 loss: 2.1843 2022/07/22 04:59:36 - mmengine - INFO - Epoch(train) [7][1660/3757] lr: 1.0000e-02 eta: 2 days, 17:02:13 time: 0.6314 data_time: 0.0219 memory: 17350 grad_norm: 5.4842 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3289 loss: 2.3289 2022/07/22 04:59:50 - mmengine - INFO - Epoch(train) [7][1680/3757] lr: 1.0000e-02 eta: 2 days, 17:02:02 time: 0.6741 data_time: 0.0213 memory: 17350 grad_norm: 5.4738 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2247 loss: 2.2247 2022/07/22 05:00:02 - mmengine - INFO - Epoch(train) [7][1700/3757] lr: 1.0000e-02 eta: 2 days, 17:01:34 time: 0.6128 data_time: 0.0226 memory: 17350 grad_norm: 5.4830 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3782 loss: 2.3782 2022/07/22 05:00:17 - mmengine - INFO - Epoch(train) [7][1720/3757] lr: 1.0000e-02 eta: 2 days, 17:01:39 time: 0.7308 data_time: 0.0273 memory: 17350 grad_norm: 5.5657 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2500 loss: 2.2500 2022/07/22 05:00:29 - mmengine - INFO - Epoch(train) [7][1740/3757] lr: 1.0000e-02 eta: 2 days, 17:01:17 time: 0.6350 data_time: 0.0233 memory: 17350 grad_norm: 5.5223 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5591 loss: 2.5591 2022/07/22 05:00:43 - mmengine - INFO - Epoch(train) [7][1760/3757] lr: 1.0000e-02 eta: 2 days, 17:01:09 time: 0.6849 data_time: 0.0209 memory: 17350 grad_norm: 5.4428 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4734 loss: 2.4734 2022/07/22 05:00:57 - mmengine - INFO - Epoch(train) [7][1780/3757] lr: 1.0000e-02 eta: 2 days, 17:01:02 time: 0.6876 data_time: 0.0249 memory: 17350 grad_norm: 5.4525 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6335 loss: 2.6335 2022/07/22 05:01:10 - mmengine - INFO - Epoch(train) [7][1800/3757] lr: 1.0000e-02 eta: 2 days, 17:00:50 time: 0.6706 data_time: 0.0215 memory: 17350 grad_norm: 5.4473 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1487 loss: 2.1487 2022/07/22 05:01:23 - mmengine - INFO - Epoch(train) [7][1820/3757] lr: 1.0000e-02 eta: 2 days, 17:00:28 time: 0.6381 data_time: 0.0188 memory: 17350 grad_norm: 5.5144 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4444 loss: 2.4444 2022/07/22 05:01:37 - mmengine - INFO - Epoch(train) [7][1840/3757] lr: 1.0000e-02 eta: 2 days, 17:00:27 time: 0.7085 data_time: 0.0231 memory: 17350 grad_norm: 5.4688 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1559 loss: 2.1559 2022/07/22 05:01:50 - mmengine - INFO - Epoch(train) [7][1860/3757] lr: 1.0000e-02 eta: 2 days, 17:00:03 time: 0.6293 data_time: 0.0216 memory: 17350 grad_norm: 5.5033 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6143 loss: 2.6143 2022/07/22 05:02:04 - mmengine - INFO - Epoch(train) [7][1880/3757] lr: 1.0000e-02 eta: 2 days, 17:00:01 time: 0.7053 data_time: 0.0203 memory: 17350 grad_norm: 5.4186 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3283 loss: 2.3283 2022/07/22 05:02:17 - mmengine - INFO - Epoch(train) [7][1900/3757] lr: 1.0000e-02 eta: 2 days, 16:59:49 time: 0.6714 data_time: 0.0228 memory: 17350 grad_norm: 5.3800 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3165 loss: 2.3165 2022/07/22 05:02:30 - mmengine - INFO - Epoch(train) [7][1920/3757] lr: 1.0000e-02 eta: 2 days, 16:59:25 time: 0.6293 data_time: 0.0238 memory: 17350 grad_norm: 5.3686 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4683 loss: 2.4683 2022/07/22 05:02:44 - mmengine - INFO - Epoch(train) [7][1940/3757] lr: 1.0000e-02 eta: 2 days, 16:59:25 time: 0.7099 data_time: 0.0208 memory: 17350 grad_norm: 5.4233 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5577 loss: 2.5577 2022/07/22 05:02:57 - mmengine - INFO - Epoch(train) [7][1960/3757] lr: 1.0000e-02 eta: 2 days, 16:59:01 time: 0.6313 data_time: 0.0238 memory: 17350 grad_norm: 5.5516 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3218 loss: 2.3218 2022/07/22 05:03:11 - mmengine - INFO - Epoch(train) [7][1980/3757] lr: 1.0000e-02 eta: 2 days, 16:59:05 time: 0.7236 data_time: 0.0217 memory: 17350 grad_norm: 5.5573 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4310 loss: 2.4310 2022/07/22 05:03:23 - mmengine - INFO - Epoch(train) [7][2000/3757] lr: 1.0000e-02 eta: 2 days, 16:58:37 time: 0.6151 data_time: 0.0242 memory: 17350 grad_norm: 5.4743 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3133 loss: 2.3133 2022/07/22 05:03:38 - mmengine - INFO - Epoch(train) [7][2020/3757] lr: 1.0000e-02 eta: 2 days, 16:58:47 time: 0.7481 data_time: 0.0229 memory: 17350 grad_norm: 5.5374 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4630 loss: 2.4630 2022/07/22 05:03:50 - mmengine - INFO - Epoch(train) [7][2040/3757] lr: 1.0000e-02 eta: 2 days, 16:58:08 time: 0.5788 data_time: 0.0252 memory: 17350 grad_norm: 5.3932 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2511 loss: 2.2511 2022/07/22 05:04:04 - mmengine - INFO - Epoch(train) [7][2060/3757] lr: 1.0000e-02 eta: 2 days, 16:58:10 time: 0.7179 data_time: 0.0195 memory: 17350 grad_norm: 5.4107 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2944 loss: 2.2944 2022/07/22 05:04:17 - mmengine - INFO - Epoch(train) [7][2080/3757] lr: 1.0000e-02 eta: 2 days, 16:57:42 time: 0.6135 data_time: 0.0245 memory: 17350 grad_norm: 5.4105 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5568 loss: 2.5568 2022/07/22 05:04:31 - mmengine - INFO - Epoch(train) [7][2100/3757] lr: 1.0000e-02 eta: 2 days, 16:57:37 time: 0.6962 data_time: 0.0221 memory: 17350 grad_norm: 5.4250 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4579 loss: 2.4579 2022/07/22 05:04:43 - mmengine - INFO - Epoch(train) [7][2120/3757] lr: 1.0000e-02 eta: 2 days, 16:57:16 time: 0.6393 data_time: 0.0219 memory: 17350 grad_norm: 5.5514 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7468 loss: 2.7468 2022/07/22 05:04:58 - mmengine - INFO - Epoch(train) [7][2140/3757] lr: 1.0000e-02 eta: 2 days, 16:57:22 time: 0.7343 data_time: 0.0219 memory: 17350 grad_norm: 5.4635 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6005 loss: 2.6005 2022/07/22 05:05:10 - mmengine - INFO - Epoch(train) [7][2160/3757] lr: 1.0000e-02 eta: 2 days, 16:56:55 time: 0.6198 data_time: 0.0220 memory: 17350 grad_norm: 5.2997 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2411 loss: 2.2411 2022/07/22 05:05:25 - mmengine - INFO - Epoch(train) [7][2180/3757] lr: 1.0000e-02 eta: 2 days, 16:56:57 time: 0.7183 data_time: 0.0214 memory: 17350 grad_norm: 5.4850 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3278 loss: 2.3278 2022/07/22 05:05:37 - mmengine - INFO - Epoch(train) [7][2200/3757] lr: 1.0000e-02 eta: 2 days, 16:56:21 time: 0.5875 data_time: 0.0332 memory: 17350 grad_norm: 5.6781 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5581 loss: 2.5581 2022/07/22 05:05:52 - mmengine - INFO - Epoch(train) [7][2220/3757] lr: 1.0000e-02 eta: 2 days, 16:56:31 time: 0.7467 data_time: 0.0425 memory: 17350 grad_norm: 5.3935 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2886 loss: 2.2886 2022/07/22 05:06:04 - mmengine - INFO - Epoch(train) [7][2240/3757] lr: 1.0000e-02 eta: 2 days, 16:56:00 time: 0.6051 data_time: 0.0736 memory: 17350 grad_norm: 5.4426 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2714 loss: 2.2714 2022/07/22 05:06:19 - mmengine - INFO - Epoch(train) [7][2260/3757] lr: 1.0000e-02 eta: 2 days, 16:56:10 time: 0.7463 data_time: 0.0231 memory: 17350 grad_norm: 5.4829 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3595 loss: 2.3595 2022/07/22 05:06:30 - mmengine - INFO - Epoch(train) [7][2280/3757] lr: 1.0000e-02 eta: 2 days, 16:55:35 time: 0.5920 data_time: 0.0232 memory: 17350 grad_norm: 5.3429 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1539 loss: 2.1539 2022/07/22 05:06:44 - mmengine - INFO - Epoch(train) [7][2300/3757] lr: 1.0000e-02 eta: 2 days, 16:55:32 time: 0.7028 data_time: 0.0214 memory: 17350 grad_norm: 5.5800 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4783 loss: 2.4783 2022/07/22 05:06:56 - mmengine - INFO - Epoch(train) [7][2320/3757] lr: 1.0000e-02 eta: 2 days, 16:54:59 time: 0.5942 data_time: 0.0236 memory: 17350 grad_norm: 5.4838 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2275 loss: 2.2275 2022/07/22 05:07:10 - mmengine - INFO - Epoch(train) [7][2340/3757] lr: 1.0000e-02 eta: 2 days, 16:54:51 time: 0.6879 data_time: 0.0212 memory: 17350 grad_norm: 5.4287 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2985 loss: 2.2985 2022/07/22 05:07:24 - mmengine - INFO - Epoch(train) [7][2360/3757] lr: 1.0000e-02 eta: 2 days, 16:54:39 time: 0.6707 data_time: 0.0350 memory: 17350 grad_norm: 5.4216 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2614 loss: 2.2614 2022/07/22 05:07:36 - mmengine - INFO - Epoch(train) [7][2380/3757] lr: 1.0000e-02 eta: 2 days, 16:54:17 time: 0.6347 data_time: 0.0283 memory: 17350 grad_norm: 5.3853 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3353 loss: 2.3353 2022/07/22 05:07:51 - mmengine - INFO - Epoch(train) [7][2400/3757] lr: 1.0000e-02 eta: 2 days, 16:54:24 time: 0.7391 data_time: 0.1081 memory: 17350 grad_norm: 5.4473 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5549 loss: 2.5549 2022/07/22 05:08:04 - mmengine - INFO - Epoch(train) [7][2420/3757] lr: 1.0000e-02 eta: 2 days, 16:54:05 time: 0.6439 data_time: 0.0359 memory: 17350 grad_norm: 5.4503 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5927 loss: 2.5927 2022/07/22 05:08:18 - mmengine - INFO - Epoch(train) [7][2440/3757] lr: 1.0000e-02 eta: 2 days, 16:54:02 time: 0.7026 data_time: 0.0225 memory: 17350 grad_norm: 5.4224 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5953 loss: 2.5953 2022/07/22 05:08:29 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 05:08:30 - mmengine - INFO - Epoch(train) [7][2460/3757] lr: 1.0000e-02 eta: 2 days, 16:53:28 time: 0.5917 data_time: 0.0209 memory: 17350 grad_norm: 5.4738 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4705 loss: 2.4705 2022/07/22 05:08:43 - mmengine - INFO - Epoch(train) [7][2480/3757] lr: 1.0000e-02 eta: 2 days, 16:53:16 time: 0.6742 data_time: 0.0213 memory: 17350 grad_norm: 5.6571 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5088 loss: 2.5088 2022/07/22 05:08:57 - mmengine - INFO - Epoch(train) [7][2500/3757] lr: 1.0000e-02 eta: 2 days, 16:53:03 time: 0.6670 data_time: 0.0221 memory: 17350 grad_norm: 5.5571 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5014 loss: 2.5014 2022/07/22 05:09:11 - mmengine - INFO - Epoch(train) [7][2520/3757] lr: 1.0000e-02 eta: 2 days, 16:53:08 time: 0.7311 data_time: 0.0206 memory: 17350 grad_norm: 5.6094 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5928 loss: 2.5928 2022/07/22 05:09:24 - mmengine - INFO - Epoch(train) [7][2540/3757] lr: 1.0000e-02 eta: 2 days, 16:52:46 time: 0.6347 data_time: 0.0215 memory: 17350 grad_norm: 5.3281 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2619 loss: 2.2619 2022/07/22 05:09:38 - mmengine - INFO - Epoch(train) [7][2560/3757] lr: 1.0000e-02 eta: 2 days, 16:52:47 time: 0.7160 data_time: 0.0229 memory: 17350 grad_norm: 5.5930 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5386 loss: 2.5386 2022/07/22 05:09:51 - mmengine - INFO - Epoch(train) [7][2580/3757] lr: 1.0000e-02 eta: 2 days, 16:52:22 time: 0.6238 data_time: 0.0215 memory: 17350 grad_norm: 5.6245 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5776 loss: 2.5776 2022/07/22 05:10:06 - mmengine - INFO - Epoch(train) [7][2600/3757] lr: 1.0000e-02 eta: 2 days, 16:52:35 time: 0.7605 data_time: 0.0235 memory: 17350 grad_norm: 5.4353 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1526 loss: 2.1526 2022/07/22 05:10:17 - mmengine - INFO - Epoch(train) [7][2620/3757] lr: 1.0000e-02 eta: 2 days, 16:51:56 time: 0.5769 data_time: 0.0237 memory: 17350 grad_norm: 5.3543 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6522 loss: 2.6522 2022/07/22 05:10:32 - mmengine - INFO - Epoch(train) [7][2640/3757] lr: 1.0000e-02 eta: 2 days, 16:52:06 time: 0.7479 data_time: 0.0208 memory: 17350 grad_norm: 5.4485 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4017 loss: 2.4017 2022/07/22 05:10:44 - mmengine - INFO - Epoch(train) [7][2660/3757] lr: 1.0000e-02 eta: 2 days, 16:51:30 time: 0.5843 data_time: 0.0219 memory: 17350 grad_norm: 5.5170 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7293 loss: 2.7293 2022/07/22 05:10:58 - mmengine - INFO - Epoch(train) [7][2680/3757] lr: 1.0000e-02 eta: 2 days, 16:51:26 time: 0.7004 data_time: 0.0224 memory: 17350 grad_norm: 5.3810 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2913 loss: 2.2913 2022/07/22 05:11:10 - mmengine - INFO - Epoch(train) [7][2700/3757] lr: 1.0000e-02 eta: 2 days, 16:50:54 time: 0.6010 data_time: 0.0229 memory: 17350 grad_norm: 5.4211 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1661 loss: 2.1661 2022/07/22 05:11:24 - mmengine - INFO - Epoch(train) [7][2720/3757] lr: 1.0000e-02 eta: 2 days, 16:50:54 time: 0.7125 data_time: 0.0213 memory: 17350 grad_norm: 5.5388 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5516 loss: 2.5516 2022/07/22 05:11:37 - mmengine - INFO - Epoch(train) [7][2740/3757] lr: 1.0000e-02 eta: 2 days, 16:50:26 time: 0.6117 data_time: 0.0232 memory: 17350 grad_norm: 5.5715 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4240 loss: 2.4240 2022/07/22 05:11:52 - mmengine - INFO - Epoch(train) [7][2760/3757] lr: 1.0000e-02 eta: 2 days, 16:50:39 time: 0.7637 data_time: 0.0213 memory: 17350 grad_norm: 5.4282 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5510 loss: 2.5510 2022/07/22 05:12:04 - mmengine - INFO - Epoch(train) [7][2780/3757] lr: 1.0000e-02 eta: 2 days, 16:50:12 time: 0.6155 data_time: 0.0664 memory: 17350 grad_norm: 5.4208 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4567 loss: 2.4567 2022/07/22 05:12:17 - mmengine - INFO - Epoch(train) [7][2800/3757] lr: 1.0000e-02 eta: 2 days, 16:49:48 time: 0.6281 data_time: 0.0262 memory: 17350 grad_norm: 5.3869 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2996 loss: 2.2996 2022/07/22 05:12:32 - mmengine - INFO - Epoch(train) [7][2820/3757] lr: 1.0000e-02 eta: 2 days, 16:50:00 time: 0.7585 data_time: 0.0209 memory: 17350 grad_norm: 5.4818 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5774 loss: 2.5774 2022/07/22 05:12:44 - mmengine - INFO - Epoch(train) [7][2840/3757] lr: 1.0000e-02 eta: 2 days, 16:49:24 time: 0.5838 data_time: 0.0264 memory: 17350 grad_norm: 5.3927 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3478 loss: 2.3478 2022/07/22 05:12:57 - mmengine - INFO - Epoch(train) [7][2860/3757] lr: 1.0000e-02 eta: 2 days, 16:49:15 time: 0.6811 data_time: 0.0465 memory: 17350 grad_norm: 5.6248 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2744 loss: 2.2744 2022/07/22 05:13:10 - mmengine - INFO - Epoch(train) [7][2880/3757] lr: 1.0000e-02 eta: 2 days, 16:48:48 time: 0.6162 data_time: 0.1371 memory: 17350 grad_norm: 5.4099 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2924 loss: 2.2924 2022/07/22 05:13:25 - mmengine - INFO - Epoch(train) [7][2900/3757] lr: 1.0000e-02 eta: 2 days, 16:48:57 time: 0.7463 data_time: 0.1088 memory: 17350 grad_norm: 5.4555 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6365 loss: 2.6365 2022/07/22 05:13:37 - mmengine - INFO - Epoch(train) [7][2920/3757] lr: 1.0000e-02 eta: 2 days, 16:48:26 time: 0.6038 data_time: 0.0240 memory: 17350 grad_norm: 5.4882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5849 loss: 2.5849 2022/07/22 05:13:51 - mmengine - INFO - Epoch(train) [7][2940/3757] lr: 1.0000e-02 eta: 2 days, 16:48:28 time: 0.7201 data_time: 0.0210 memory: 17350 grad_norm: 5.4974 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3964 loss: 2.3964 2022/07/22 05:14:03 - mmengine - INFO - Epoch(train) [7][2960/3757] lr: 1.0000e-02 eta: 2 days, 16:47:50 time: 0.5764 data_time: 0.0965 memory: 17350 grad_norm: 5.4878 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5303 loss: 2.5303 2022/07/22 05:14:17 - mmengine - INFO - Epoch(train) [7][2980/3757] lr: 1.0000e-02 eta: 2 days, 16:47:56 time: 0.7366 data_time: 0.2004 memory: 17350 grad_norm: 5.7190 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5060 loss: 2.5060 2022/07/22 05:14:30 - mmengine - INFO - Epoch(train) [7][3000/3757] lr: 1.0000e-02 eta: 2 days, 16:47:33 time: 0.6333 data_time: 0.1850 memory: 17350 grad_norm: 5.6591 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2309 loss: 2.2309 2022/07/22 05:14:45 - mmengine - INFO - Epoch(train) [7][3020/3757] lr: 1.0000e-02 eta: 2 days, 16:47:48 time: 0.7668 data_time: 0.1748 memory: 17350 grad_norm: 5.5139 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3656 loss: 2.3656 2022/07/22 05:14:58 - mmengine - INFO - Epoch(train) [7][3040/3757] lr: 1.0000e-02 eta: 2 days, 16:47:22 time: 0.6223 data_time: 0.0376 memory: 17350 grad_norm: 5.3801 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3370 loss: 2.3370 2022/07/22 05:15:13 - mmengine - INFO - Epoch(train) [7][3060/3757] lr: 1.0000e-02 eta: 2 days, 16:47:34 time: 0.7569 data_time: 0.0240 memory: 17350 grad_norm: 5.4093 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5086 loss: 2.5086 2022/07/22 05:15:25 - mmengine - INFO - Epoch(train) [7][3080/3757] lr: 1.0000e-02 eta: 2 days, 16:47:02 time: 0.5993 data_time: 0.0233 memory: 17350 grad_norm: 5.4211 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3672 loss: 2.3672 2022/07/22 05:15:39 - mmengine - INFO - Epoch(train) [7][3100/3757] lr: 1.0000e-02 eta: 2 days, 16:47:01 time: 0.7099 data_time: 0.0227 memory: 17350 grad_norm: 5.4949 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5121 loss: 2.5121 2022/07/22 05:15:51 - mmengine - INFO - Epoch(train) [7][3120/3757] lr: 1.0000e-02 eta: 2 days, 16:46:32 time: 0.6112 data_time: 0.0202 memory: 17350 grad_norm: 5.2627 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2529 loss: 2.2529 2022/07/22 05:16:05 - mmengine - INFO - Epoch(train) [7][3140/3757] lr: 1.0000e-02 eta: 2 days, 16:46:29 time: 0.7041 data_time: 0.0297 memory: 17350 grad_norm: 5.5453 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4596 loss: 2.4596 2022/07/22 05:16:18 - mmengine - INFO - Epoch(train) [7][3160/3757] lr: 1.0000e-02 eta: 2 days, 16:46:04 time: 0.6200 data_time: 0.0220 memory: 17350 grad_norm: 5.3609 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2700 loss: 2.2700 2022/07/22 05:16:32 - mmengine - INFO - Epoch(train) [7][3180/3757] lr: 1.0000e-02 eta: 2 days, 16:46:01 time: 0.7056 data_time: 0.0583 memory: 17350 grad_norm: 5.3484 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6986 loss: 2.6986 2022/07/22 05:16:44 - mmengine - INFO - Epoch(train) [7][3200/3757] lr: 1.0000e-02 eta: 2 days, 16:45:33 time: 0.6133 data_time: 0.0309 memory: 17350 grad_norm: 5.2835 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6623 loss: 2.6623 2022/07/22 05:16:59 - mmengine - INFO - Epoch(train) [7][3220/3757] lr: 1.0000e-02 eta: 2 days, 16:45:42 time: 0.7483 data_time: 0.0218 memory: 17350 grad_norm: 5.6351 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5865 loss: 2.5865 2022/07/22 05:17:12 - mmengine - INFO - Epoch(train) [7][3240/3757] lr: 1.0000e-02 eta: 2 days, 16:45:18 time: 0.6253 data_time: 0.0230 memory: 17350 grad_norm: 5.4252 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8577 loss: 2.8577 2022/07/22 05:17:25 - mmengine - INFO - Epoch(train) [7][3260/3757] lr: 1.0000e-02 eta: 2 days, 16:45:05 time: 0.6674 data_time: 0.0227 memory: 17350 grad_norm: 5.6291 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4054 loss: 2.4054 2022/07/22 05:17:38 - mmengine - INFO - Epoch(train) [7][3280/3757] lr: 1.0000e-02 eta: 2 days, 16:44:46 time: 0.6478 data_time: 0.0300 memory: 17350 grad_norm: 5.4400 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5174 loss: 2.5174 2022/07/22 05:17:52 - mmengine - INFO - Epoch(train) [7][3300/3757] lr: 1.0000e-02 eta: 2 days, 16:44:46 time: 0.7140 data_time: 0.0226 memory: 17350 grad_norm: 5.4391 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6811 loss: 2.6811 2022/07/22 05:18:05 - mmengine - INFO - Epoch(train) [7][3320/3757] lr: 1.0000e-02 eta: 2 days, 16:44:24 time: 0.6323 data_time: 0.0224 memory: 17350 grad_norm: 5.4057 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3563 loss: 2.3563 2022/07/22 05:18:18 - mmengine - INFO - Epoch(train) [7][3340/3757] lr: 1.0000e-02 eta: 2 days, 16:44:13 time: 0.6772 data_time: 0.0939 memory: 17350 grad_norm: 5.3903 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3721 loss: 2.3721 2022/07/22 05:18:32 - mmengine - INFO - Epoch(train) [7][3360/3757] lr: 1.0000e-02 eta: 2 days, 16:44:01 time: 0.6695 data_time: 0.0779 memory: 17350 grad_norm: 5.3363 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7289 loss: 2.7289 2022/07/22 05:18:46 - mmengine - INFO - Epoch(train) [7][3380/3757] lr: 1.0000e-02 eta: 2 days, 16:43:55 time: 0.6948 data_time: 0.1443 memory: 17350 grad_norm: 5.5670 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6677 loss: 2.6677 2022/07/22 05:18:58 - mmengine - INFO - Epoch(train) [7][3400/3757] lr: 1.0000e-02 eta: 2 days, 16:43:30 time: 0.6225 data_time: 0.0411 memory: 17350 grad_norm: 5.4155 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2818 loss: 2.2818 2022/07/22 05:19:11 - mmengine - INFO - Epoch(train) [7][3420/3757] lr: 1.0000e-02 eta: 2 days, 16:43:09 time: 0.6361 data_time: 0.0975 memory: 17350 grad_norm: 5.3626 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5200 loss: 2.5200 2022/07/22 05:19:24 - mmengine - INFO - Epoch(train) [7][3440/3757] lr: 1.0000e-02 eta: 2 days, 16:42:55 time: 0.6634 data_time: 0.0599 memory: 17350 grad_norm: 5.3957 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3508 loss: 2.3508 2022/07/22 05:19:35 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 05:19:37 - mmengine - INFO - Epoch(train) [7][3460/3757] lr: 1.0000e-02 eta: 2 days, 16:42:40 time: 0.6632 data_time: 0.1463 memory: 17350 grad_norm: 5.4894 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4556 loss: 2.4556 2022/07/22 05:19:50 - mmengine - INFO - Epoch(train) [7][3480/3757] lr: 1.0000e-02 eta: 2 days, 16:42:20 time: 0.6382 data_time: 0.0421 memory: 17350 grad_norm: 5.5361 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2471 loss: 2.2471 2022/07/22 05:20:04 - mmengine - INFO - Epoch(train) [7][3500/3757] lr: 1.0000e-02 eta: 2 days, 16:42:19 time: 0.7120 data_time: 0.0280 memory: 17350 grad_norm: 5.4548 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4624 loss: 2.4624 2022/07/22 05:20:18 - mmengine - INFO - Epoch(train) [7][3520/3757] lr: 1.0000e-02 eta: 2 days, 16:42:03 time: 0.6575 data_time: 0.0222 memory: 17350 grad_norm: 5.5582 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3772 loss: 2.3772 2022/07/22 05:20:31 - mmengine - INFO - Epoch(train) [7][3540/3757] lr: 1.0000e-02 eta: 2 days, 16:41:57 time: 0.6929 data_time: 0.0236 memory: 17350 grad_norm: 5.4278 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4696 loss: 2.4696 2022/07/22 05:20:45 - mmengine - INFO - Epoch(train) [7][3560/3757] lr: 1.0000e-02 eta: 2 days, 16:41:43 time: 0.6646 data_time: 0.0216 memory: 17350 grad_norm: 5.3682 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5670 loss: 2.5670 2022/07/22 05:20:58 - mmengine - INFO - Epoch(train) [7][3580/3757] lr: 1.0000e-02 eta: 2 days, 16:41:32 time: 0.6760 data_time: 0.0244 memory: 17350 grad_norm: 5.4344 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2157 loss: 2.2157 2022/07/22 05:21:11 - mmengine - INFO - Epoch(train) [7][3600/3757] lr: 1.0000e-02 eta: 2 days, 16:41:10 time: 0.6343 data_time: 0.0286 memory: 17350 grad_norm: 5.3391 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4423 loss: 2.4423 2022/07/22 05:21:25 - mmengine - INFO - Epoch(train) [7][3620/3757] lr: 1.0000e-02 eta: 2 days, 16:41:04 time: 0.6909 data_time: 0.0236 memory: 17350 grad_norm: 5.5969 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3300 loss: 2.3300 2022/07/22 05:21:37 - mmengine - INFO - Epoch(train) [7][3640/3757] lr: 1.0000e-02 eta: 2 days, 16:40:33 time: 0.6016 data_time: 0.0272 memory: 17350 grad_norm: 5.6112 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6423 loss: 2.6423 2022/07/22 05:21:52 - mmengine - INFO - Epoch(train) [7][3660/3757] lr: 1.0000e-02 eta: 2 days, 16:40:40 time: 0.7413 data_time: 0.1082 memory: 17350 grad_norm: 5.6245 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4282 loss: 2.4282 2022/07/22 05:22:04 - mmengine - INFO - Epoch(train) [7][3680/3757] lr: 1.0000e-02 eta: 2 days, 16:40:07 time: 0.5945 data_time: 0.0591 memory: 17350 grad_norm: 5.5006 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7447 loss: 2.7447 2022/07/22 05:22:18 - mmengine - INFO - Epoch(train) [7][3700/3757] lr: 1.0000e-02 eta: 2 days, 16:40:13 time: 0.7381 data_time: 0.0459 memory: 17350 grad_norm: 5.4624 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6944 loss: 2.6944 2022/07/22 05:22:31 - mmengine - INFO - Epoch(train) [7][3720/3757] lr: 1.0000e-02 eta: 2 days, 16:39:57 time: 0.6571 data_time: 0.0254 memory: 17350 grad_norm: 5.3329 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4076 loss: 2.4076 2022/07/22 05:22:46 - mmengine - INFO - Epoch(train) [7][3740/3757] lr: 1.0000e-02 eta: 2 days, 16:40:00 time: 0.7257 data_time: 0.0256 memory: 17350 grad_norm: 5.3685 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6876 loss: 2.6876 2022/07/22 05:22:53 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 05:22:53 - mmengine - INFO - Epoch(train) [7][3757/3757] lr: 1.0000e-02 eta: 2 days, 16:40:00 time: 0.5152 data_time: 0.0254 memory: 17350 grad_norm: 5.4911 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 2.5749 loss: 2.5749 2022/07/22 05:23:10 - mmengine - INFO - Epoch(val) [7][20/310] eta: 0:04:11 time: 0.8688 data_time: 0.7549 memory: 3406 2022/07/22 05:23:21 - mmengine - INFO - Epoch(val) [7][40/310] eta: 0:02:22 time: 0.5271 data_time: 0.4156 memory: 3406 2022/07/22 05:23:36 - mmengine - INFO - Epoch(val) [7][60/310] eta: 0:03:03 time: 0.7354 data_time: 0.6223 memory: 3406 2022/07/22 05:23:46 - mmengine - INFO - Epoch(val) [7][80/310] eta: 0:02:03 time: 0.5385 data_time: 0.4277 memory: 3406 2022/07/22 05:24:02 - mmengine - INFO - Epoch(val) [7][100/310] eta: 0:02:43 time: 0.7775 data_time: 0.6642 memory: 3406 2022/07/22 05:24:13 - mmengine - INFO - Epoch(val) [7][120/310] eta: 0:01:48 time: 0.5701 data_time: 0.4584 memory: 3406 2022/07/22 05:24:29 - mmengine - INFO - Epoch(val) [7][140/310] eta: 0:02:11 time: 0.7731 data_time: 0.6597 memory: 3406 2022/07/22 05:24:40 - mmengine - INFO - Epoch(val) [7][160/310] eta: 0:01:26 time: 0.5747 data_time: 0.4621 memory: 3406 2022/07/22 05:24:56 - mmengine - INFO - Epoch(val) [7][180/310] eta: 0:01:42 time: 0.7902 data_time: 0.6768 memory: 3406 2022/07/22 05:25:08 - mmengine - INFO - Epoch(val) [7][200/310] eta: 0:01:04 time: 0.5904 data_time: 0.4773 memory: 3406 2022/07/22 05:25:23 - mmengine - INFO - Epoch(val) [7][220/310] eta: 0:01:08 time: 0.7632 data_time: 0.6512 memory: 3406 2022/07/22 05:25:34 - mmengine - INFO - Epoch(val) [7][240/310] eta: 0:00:38 time: 0.5459 data_time: 0.4328 memory: 3406 2022/07/22 05:25:49 - mmengine - INFO - Epoch(val) [7][260/310] eta: 0:00:37 time: 0.7537 data_time: 0.6402 memory: 3406 2022/07/22 05:26:01 - mmengine - INFO - Epoch(val) [7][280/310] eta: 0:00:17 time: 0.5832 data_time: 0.4729 memory: 3406 2022/07/22 05:26:15 - mmengine - INFO - Epoch(val) [7][300/310] eta: 0:00:07 time: 0.7327 data_time: 0.6193 memory: 3406 2022/07/22 05:26:19 - mmengine - INFO - Epoch(val) [7][310/310] acc/top1: 0.4928 acc/top5: 0.7550 acc/mean1: 0.4928 2022/07/22 05:26:20 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_7.pth is removed 2022/07/22 05:26:22 - mmengine - INFO - The best checkpoint with 0.4928 acc/top1 at 8 epoch is saved to best_acc/top1_epoch_8.pth. 2022/07/22 05:26:39 - mmengine - INFO - Epoch(train) [8][20/3757] lr: 1.0000e-02 eta: 2 days, 16:37:51 time: 0.8408 data_time: 0.5105 memory: 17350 grad_norm: 5.3488 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4660 loss: 2.4660 2022/07/22 05:26:52 - mmengine - INFO - Epoch(train) [8][40/3757] lr: 1.0000e-02 eta: 2 days, 16:37:25 time: 0.6163 data_time: 0.2865 memory: 17350 grad_norm: 5.3399 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3076 loss: 2.3076 2022/07/22 05:27:06 - mmengine - INFO - Epoch(train) [8][60/3757] lr: 1.0000e-02 eta: 2 days, 16:37:25 time: 0.7173 data_time: 0.3846 memory: 17350 grad_norm: 5.4325 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2716 loss: 2.2716 2022/07/22 05:27:18 - mmengine - INFO - Epoch(train) [8][80/3757] lr: 1.0000e-02 eta: 2 days, 16:36:52 time: 0.5925 data_time: 0.2640 memory: 17350 grad_norm: 5.5988 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5077 loss: 2.5077 2022/07/22 05:27:32 - mmengine - INFO - Epoch(train) [8][100/3757] lr: 1.0000e-02 eta: 2 days, 16:36:53 time: 0.7195 data_time: 0.3907 memory: 17350 grad_norm: 5.4487 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6007 loss: 2.6007 2022/07/22 05:27:45 - mmengine - INFO - Epoch(train) [8][120/3757] lr: 1.0000e-02 eta: 2 days, 16:36:28 time: 0.6201 data_time: 0.2887 memory: 17350 grad_norm: 5.3394 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3987 loss: 2.3987 2022/07/22 05:27:59 - mmengine - INFO - Epoch(train) [8][140/3757] lr: 1.0000e-02 eta: 2 days, 16:36:31 time: 0.7283 data_time: 0.3981 memory: 17350 grad_norm: 5.6023 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6311 loss: 2.6311 2022/07/22 05:28:11 - mmengine - INFO - Epoch(train) [8][160/3757] lr: 1.0000e-02 eta: 2 days, 16:36:02 time: 0.6066 data_time: 0.2781 memory: 17350 grad_norm: 5.3463 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2313 loss: 2.2313 2022/07/22 05:28:27 - mmengine - INFO - Epoch(train) [8][180/3757] lr: 1.0000e-02 eta: 2 days, 16:36:16 time: 0.7686 data_time: 0.4360 memory: 17350 grad_norm: 5.5112 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2215 loss: 2.2215 2022/07/22 05:28:38 - mmengine - INFO - Epoch(train) [8][200/3757] lr: 1.0000e-02 eta: 2 days, 16:35:41 time: 0.5844 data_time: 0.2534 memory: 17350 grad_norm: 5.6866 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5880 loss: 2.5880 2022/07/22 05:28:52 - mmengine - INFO - Epoch(train) [8][220/3757] lr: 1.0000e-02 eta: 2 days, 16:35:39 time: 0.7096 data_time: 0.3790 memory: 17350 grad_norm: 5.6506 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2937 loss: 2.2937 2022/07/22 05:29:05 - mmengine - INFO - Epoch(train) [8][240/3757] lr: 1.0000e-02 eta: 2 days, 16:35:09 time: 0.6043 data_time: 0.2742 memory: 17350 grad_norm: 5.4882 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0814 loss: 2.0814 2022/07/22 05:29:19 - mmengine - INFO - Epoch(train) [8][260/3757] lr: 1.0000e-02 eta: 2 days, 16:35:12 time: 0.7274 data_time: 0.3963 memory: 17350 grad_norm: 5.6441 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3991 loss: 2.3991 2022/07/22 05:29:31 - mmengine - INFO - Epoch(train) [8][280/3757] lr: 1.0000e-02 eta: 2 days, 16:34:41 time: 0.5975 data_time: 0.2664 memory: 17350 grad_norm: 5.5024 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7858 loss: 1.7858 2022/07/22 05:29:47 - mmengine - INFO - Epoch(train) [8][300/3757] lr: 1.0000e-02 eta: 2 days, 16:34:57 time: 0.7759 data_time: 0.4397 memory: 17350 grad_norm: 5.4678 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4265 loss: 2.4265 2022/07/22 05:29:59 - mmengine - INFO - Epoch(train) [8][320/3757] lr: 1.0000e-02 eta: 2 days, 16:34:27 time: 0.6057 data_time: 0.2728 memory: 17350 grad_norm: 5.3985 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5699 loss: 2.5699 2022/07/22 05:30:13 - mmengine - INFO - Epoch(train) [8][340/3757] lr: 1.0000e-02 eta: 2 days, 16:34:29 time: 0.7218 data_time: 0.3918 memory: 17350 grad_norm: 5.3663 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3606 loss: 2.3606 2022/07/22 05:30:25 - mmengine - INFO - Epoch(train) [8][360/3757] lr: 1.0000e-02 eta: 2 days, 16:33:56 time: 0.5918 data_time: 0.2609 memory: 17350 grad_norm: 5.3626 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1060 loss: 2.1060 2022/07/22 05:30:40 - mmengine - INFO - Epoch(train) [8][380/3757] lr: 1.0000e-02 eta: 2 days, 16:34:02 time: 0.7392 data_time: 0.4083 memory: 17350 grad_norm: 5.4978 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6761 loss: 2.6761 2022/07/22 05:30:52 - mmengine - INFO - Epoch(train) [8][400/3757] lr: 1.0000e-02 eta: 2 days, 16:33:35 time: 0.6134 data_time: 0.2814 memory: 17350 grad_norm: 5.4984 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5380 loss: 2.5380 2022/07/22 05:31:06 - mmengine - INFO - Epoch(train) [8][420/3757] lr: 1.0000e-02 eta: 2 days, 16:33:32 time: 0.7046 data_time: 0.3331 memory: 17350 grad_norm: 5.5409 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3952 loss: 2.3952 2022/07/22 05:31:19 - mmengine - INFO - Epoch(train) [8][440/3757] lr: 1.0000e-02 eta: 2 days, 16:33:07 time: 0.6245 data_time: 0.2943 memory: 17350 grad_norm: 5.4890 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3022 loss: 2.3022 2022/07/22 05:31:33 - mmengine - INFO - Epoch(train) [8][460/3757] lr: 1.0000e-02 eta: 2 days, 16:33:08 time: 0.7196 data_time: 0.3861 memory: 17350 grad_norm: 5.4863 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3091 loss: 2.3091 2022/07/22 05:31:45 - mmengine - INFO - Epoch(train) [8][480/3757] lr: 1.0000e-02 eta: 2 days, 16:32:36 time: 0.5955 data_time: 0.2634 memory: 17350 grad_norm: 5.7099 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5443 loss: 2.5443 2022/07/22 05:32:00 - mmengine - INFO - Epoch(train) [8][500/3757] lr: 1.0000e-02 eta: 2 days, 16:32:40 time: 0.7315 data_time: 0.3989 memory: 17350 grad_norm: 5.5185 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7943 loss: 2.7943 2022/07/22 05:32:12 - mmengine - INFO - Epoch(train) [8][520/3757] lr: 1.0000e-02 eta: 2 days, 16:32:11 time: 0.6043 data_time: 0.2751 memory: 17350 grad_norm: 5.3570 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3474 loss: 2.3474 2022/07/22 05:32:27 - mmengine - INFO - Epoch(train) [8][540/3757] lr: 1.0000e-02 eta: 2 days, 16:32:21 time: 0.7563 data_time: 0.4245 memory: 17350 grad_norm: 5.5490 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6496 loss: 2.6496 2022/07/22 05:32:38 - mmengine - INFO - Epoch(train) [8][560/3757] lr: 1.0000e-02 eta: 2 days, 16:31:44 time: 0.5752 data_time: 0.2368 memory: 17350 grad_norm: 5.5088 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4279 loss: 2.4279 2022/07/22 05:32:53 - mmengine - INFO - Epoch(train) [8][580/3757] lr: 1.0000e-02 eta: 2 days, 16:31:46 time: 0.7243 data_time: 0.3936 memory: 17350 grad_norm: 5.4636 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7173 loss: 2.7173 2022/07/22 05:33:05 - mmengine - INFO - Epoch(train) [8][600/3757] lr: 1.0000e-02 eta: 2 days, 16:31:14 time: 0.5949 data_time: 0.2522 memory: 17350 grad_norm: 5.4865 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5998 loss: 2.5998 2022/07/22 05:33:19 - mmengine - INFO - Epoch(train) [8][620/3757] lr: 1.0000e-02 eta: 2 days, 16:31:14 time: 0.7174 data_time: 0.3487 memory: 17350 grad_norm: 5.4885 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3200 loss: 2.3200 2022/07/22 05:33:31 - mmengine - INFO - Epoch(train) [8][640/3757] lr: 1.0000e-02 eta: 2 days, 16:30:46 time: 0.6084 data_time: 0.1337 memory: 17350 grad_norm: 5.4366 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5405 loss: 2.5405 2022/07/22 05:33:47 - mmengine - INFO - Epoch(train) [8][660/3757] lr: 1.0000e-02 eta: 2 days, 16:31:03 time: 0.7834 data_time: 0.1478 memory: 17350 grad_norm: 5.4112 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6024 loss: 2.6024 2022/07/22 05:33:59 - mmengine - INFO - Epoch(train) [8][680/3757] lr: 1.0000e-02 eta: 2 days, 16:30:32 time: 0.5976 data_time: 0.0984 memory: 17350 grad_norm: 5.3095 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3923 loss: 2.3923 2022/07/22 05:34:13 - mmengine - INFO - Epoch(train) [8][700/3757] lr: 1.0000e-02 eta: 2 days, 16:30:26 time: 0.6948 data_time: 0.1284 memory: 17350 grad_norm: 5.3035 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2829 loss: 2.2829 2022/07/22 05:34:14 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 05:34:26 - mmengine - INFO - Epoch(train) [8][720/3757] lr: 1.0000e-02 eta: 2 days, 16:30:09 time: 0.6502 data_time: 0.0522 memory: 17350 grad_norm: 5.4194 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5281 loss: 2.5281 2022/07/22 05:34:40 - mmengine - INFO - Epoch(train) [8][740/3757] lr: 1.0000e-02 eta: 2 days, 16:30:02 time: 0.6922 data_time: 0.1052 memory: 17350 grad_norm: 5.5853 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7782 loss: 2.7782 2022/07/22 05:34:52 - mmengine - INFO - Epoch(train) [8][760/3757] lr: 1.0000e-02 eta: 2 days, 16:29:38 time: 0.6242 data_time: 0.1589 memory: 17350 grad_norm: 5.3405 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5383 loss: 2.5383 2022/07/22 05:35:07 - mmengine - INFO - Epoch(train) [8][780/3757] lr: 1.0000e-02 eta: 2 days, 16:29:49 time: 0.7611 data_time: 0.1750 memory: 17350 grad_norm: 5.2853 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3415 loss: 2.3415 2022/07/22 05:35:20 - mmengine - INFO - Epoch(train) [8][800/3757] lr: 1.0000e-02 eta: 2 days, 16:29:32 time: 0.6506 data_time: 0.0419 memory: 17350 grad_norm: 5.4818 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2670 loss: 2.2670 2022/07/22 05:35:34 - mmengine - INFO - Epoch(train) [8][820/3757] lr: 1.0000e-02 eta: 2 days, 16:29:19 time: 0.6670 data_time: 0.0200 memory: 17350 grad_norm: 5.4874 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4734 loss: 2.4734 2022/07/22 05:35:47 - mmengine - INFO - Epoch(train) [8][840/3757] lr: 1.0000e-02 eta: 2 days, 16:29:03 time: 0.6567 data_time: 0.0240 memory: 17350 grad_norm: 5.4326 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5195 loss: 2.5195 2022/07/22 05:36:00 - mmengine - INFO - Epoch(train) [8][860/3757] lr: 1.0000e-02 eta: 2 days, 16:28:51 time: 0.6716 data_time: 0.0231 memory: 17350 grad_norm: 5.2752 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1568 loss: 2.1568 2022/07/22 05:36:13 - mmengine - INFO - Epoch(train) [8][880/3757] lr: 1.0000e-02 eta: 2 days, 16:28:30 time: 0.6331 data_time: 0.0185 memory: 17350 grad_norm: 5.5327 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3815 loss: 2.3815 2022/07/22 05:36:28 - mmengine - INFO - Epoch(train) [8][900/3757] lr: 1.0000e-02 eta: 2 days, 16:28:34 time: 0.7367 data_time: 0.0233 memory: 17350 grad_norm: 5.4782 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1411 loss: 2.1411 2022/07/22 05:36:40 - mmengine - INFO - Epoch(train) [8][920/3757] lr: 1.0000e-02 eta: 2 days, 16:28:05 time: 0.6021 data_time: 0.0223 memory: 17350 grad_norm: 5.4822 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5313 loss: 2.5313 2022/07/22 05:36:54 - mmengine - INFO - Epoch(train) [8][940/3757] lr: 1.0000e-02 eta: 2 days, 16:28:07 time: 0.7284 data_time: 0.0355 memory: 17350 grad_norm: 5.4458 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6258 loss: 2.6258 2022/07/22 05:37:06 - mmengine - INFO - Epoch(train) [8][960/3757] lr: 1.0000e-02 eta: 2 days, 16:27:38 time: 0.6050 data_time: 0.0588 memory: 17350 grad_norm: 5.3204 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0852 loss: 2.0852 2022/07/22 05:37:21 - mmengine - INFO - Epoch(train) [8][980/3757] lr: 1.0000e-02 eta: 2 days, 16:27:42 time: 0.7329 data_time: 0.0667 memory: 17350 grad_norm: 5.4879 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0555 loss: 2.0555 2022/07/22 05:37:33 - mmengine - INFO - Epoch(train) [8][1000/3757] lr: 1.0000e-02 eta: 2 days, 16:27:14 time: 0.6085 data_time: 0.0265 memory: 17350 grad_norm: 5.7347 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8841 loss: 2.8841 2022/07/22 05:37:47 - mmengine - INFO - Epoch(train) [8][1020/3757] lr: 1.0000e-02 eta: 2 days, 16:27:12 time: 0.7082 data_time: 0.0418 memory: 17350 grad_norm: 5.4120 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4930 loss: 2.4930 2022/07/22 05:38:00 - mmengine - INFO - Epoch(train) [8][1040/3757] lr: 1.0000e-02 eta: 2 days, 16:26:46 time: 0.6168 data_time: 0.0227 memory: 17350 grad_norm: 5.4466 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2551 loss: 2.2551 2022/07/22 05:38:13 - mmengine - INFO - Epoch(train) [8][1060/3757] lr: 1.0000e-02 eta: 2 days, 16:26:30 time: 0.6561 data_time: 0.0238 memory: 17350 grad_norm: 5.5435 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6368 loss: 2.6368 2022/07/22 05:38:26 - mmengine - INFO - Epoch(train) [8][1080/3757] lr: 1.0000e-02 eta: 2 days, 16:26:11 time: 0.6442 data_time: 0.1113 memory: 17350 grad_norm: 5.3314 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1636 loss: 2.1636 2022/07/22 05:38:39 - mmengine - INFO - Epoch(train) [8][1100/3757] lr: 1.0000e-02 eta: 2 days, 16:26:00 time: 0.6744 data_time: 0.1979 memory: 17350 grad_norm: 5.3195 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4219 loss: 2.4219 2022/07/22 05:38:52 - mmengine - INFO - Epoch(train) [8][1120/3757] lr: 1.0000e-02 eta: 2 days, 16:25:40 time: 0.6400 data_time: 0.2175 memory: 17350 grad_norm: 5.4835 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.7609 loss: 2.7609 2022/07/22 05:39:06 - mmengine - INFO - Epoch(train) [8][1140/3757] lr: 1.0000e-02 eta: 2 days, 16:25:29 time: 0.6768 data_time: 0.2724 memory: 17350 grad_norm: 5.4505 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2172 loss: 2.2172 2022/07/22 05:39:18 - mmengine - INFO - Epoch(train) [8][1160/3757] lr: 1.0000e-02 eta: 2 days, 16:25:09 time: 0.6381 data_time: 0.1755 memory: 17350 grad_norm: 5.5822 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8859 loss: 2.8859 2022/07/22 05:39:32 - mmengine - INFO - Epoch(train) [8][1180/3757] lr: 1.0000e-02 eta: 2 days, 16:24:55 time: 0.6613 data_time: 0.2259 memory: 17350 grad_norm: 5.3428 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3397 loss: 2.3397 2022/07/22 05:39:45 - mmengine - INFO - Epoch(train) [8][1200/3757] lr: 1.0000e-02 eta: 2 days, 16:24:44 time: 0.6781 data_time: 0.1135 memory: 17350 grad_norm: 5.4654 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2853 loss: 2.2853 2022/07/22 05:39:58 - mmengine - INFO - Epoch(train) [8][1220/3757] lr: 1.0000e-02 eta: 2 days, 16:24:30 time: 0.6601 data_time: 0.2250 memory: 17350 grad_norm: 5.5629 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3448 loss: 2.3448 2022/07/22 05:40:12 - mmengine - INFO - Epoch(train) [8][1240/3757] lr: 1.0000e-02 eta: 2 days, 16:24:19 time: 0.6750 data_time: 0.1130 memory: 17350 grad_norm: 5.5325 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5882 loss: 2.5882 2022/07/22 05:40:27 - mmengine - INFO - Epoch(train) [8][1260/3757] lr: 1.0000e-02 eta: 2 days, 16:24:31 time: 0.7672 data_time: 0.4116 memory: 17350 grad_norm: 5.3928 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5980 loss: 2.5980 2022/07/22 05:40:39 - mmengine - INFO - Epoch(train) [8][1280/3757] lr: 1.0000e-02 eta: 2 days, 16:24:00 time: 0.5959 data_time: 0.2278 memory: 17350 grad_norm: 5.4753 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2744 loss: 2.2744 2022/07/22 05:40:53 - mmengine - INFO - Epoch(train) [8][1300/3757] lr: 1.0000e-02 eta: 2 days, 16:23:57 time: 0.7072 data_time: 0.3398 memory: 17350 grad_norm: 5.7408 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4928 loss: 2.4928 2022/07/22 05:41:05 - mmengine - INFO - Epoch(train) [8][1320/3757] lr: 1.0000e-02 eta: 2 days, 16:23:24 time: 0.5872 data_time: 0.1612 memory: 17350 grad_norm: 5.4652 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1435 loss: 2.1435 2022/07/22 05:41:19 - mmengine - INFO - Epoch(train) [8][1340/3757] lr: 1.0000e-02 eta: 2 days, 16:23:24 time: 0.7217 data_time: 0.3328 memory: 17350 grad_norm: 5.4018 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5635 loss: 2.5635 2022/07/22 05:41:31 - mmengine - INFO - Epoch(train) [8][1360/3757] lr: 1.0000e-02 eta: 2 days, 16:22:54 time: 0.5971 data_time: 0.2045 memory: 17350 grad_norm: 5.3686 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2569 loss: 2.2569 2022/07/22 05:41:46 - mmengine - INFO - Epoch(train) [8][1380/3757] lr: 1.0000e-02 eta: 2 days, 16:22:53 time: 0.7175 data_time: 0.2657 memory: 17350 grad_norm: 5.3884 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5266 loss: 2.5266 2022/07/22 05:41:58 - mmengine - INFO - Epoch(train) [8][1400/3757] lr: 1.0000e-02 eta: 2 days, 16:22:30 time: 0.6274 data_time: 0.1704 memory: 17350 grad_norm: 5.5181 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4841 loss: 2.4841 2022/07/22 05:42:12 - mmengine - INFO - Epoch(train) [8][1420/3757] lr: 1.0000e-02 eta: 2 days, 16:22:19 time: 0.6730 data_time: 0.1639 memory: 17350 grad_norm: 5.5144 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1863 loss: 2.1863 2022/07/22 05:42:25 - mmengine - INFO - Epoch(train) [8][1440/3757] lr: 1.0000e-02 eta: 2 days, 16:22:06 time: 0.6681 data_time: 0.1087 memory: 17350 grad_norm: 5.3651 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4741 loss: 2.4741 2022/07/22 05:42:39 - mmengine - INFO - Epoch(train) [8][1460/3757] lr: 1.0000e-02 eta: 2 days, 16:21:56 time: 0.6792 data_time: 0.0536 memory: 17350 grad_norm: 5.3693 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4602 loss: 2.4602 2022/07/22 05:42:52 - mmengine - INFO - Epoch(train) [8][1480/3757] lr: 1.0000e-02 eta: 2 days, 16:21:39 time: 0.6511 data_time: 0.0791 memory: 17350 grad_norm: 5.3874 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0919 loss: 2.0919 2022/07/22 05:43:06 - mmengine - INFO - Epoch(train) [8][1500/3757] lr: 1.0000e-02 eta: 2 days, 16:21:40 time: 0.7222 data_time: 0.0438 memory: 17350 grad_norm: 5.5109 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4505 loss: 2.4505 2022/07/22 05:43:19 - mmengine - INFO - Epoch(train) [8][1520/3757] lr: 1.0000e-02 eta: 2 days, 16:21:17 time: 0.6304 data_time: 0.0283 memory: 17350 grad_norm: 5.4602 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0708 loss: 2.0708 2022/07/22 05:43:33 - mmengine - INFO - Epoch(train) [8][1540/3757] lr: 1.0000e-02 eta: 2 days, 16:21:13 time: 0.6996 data_time: 0.0226 memory: 17350 grad_norm: 5.4631 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5173 loss: 2.5173 2022/07/22 05:43:46 - mmengine - INFO - Epoch(train) [8][1560/3757] lr: 1.0000e-02 eta: 2 days, 16:20:55 time: 0.6509 data_time: 0.0245 memory: 17350 grad_norm: 5.2557 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1285 loss: 2.1285 2022/07/22 05:43:59 - mmengine - INFO - Epoch(train) [8][1580/3757] lr: 1.0000e-02 eta: 2 days, 16:20:47 time: 0.6873 data_time: 0.0229 memory: 17350 grad_norm: 5.4366 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6464 loss: 2.6464 2022/07/22 05:44:12 - mmengine - INFO - Epoch(train) [8][1600/3757] lr: 1.0000e-02 eta: 2 days, 16:20:25 time: 0.6307 data_time: 0.0469 memory: 17350 grad_norm: 5.2668 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4044 loss: 2.4044 2022/07/22 05:44:25 - mmengine - INFO - Epoch(train) [8][1620/3757] lr: 1.0000e-02 eta: 2 days, 16:20:10 time: 0.6598 data_time: 0.1058 memory: 17350 grad_norm: 5.5869 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4875 loss: 2.4875 2022/07/22 05:44:39 - mmengine - INFO - Epoch(train) [8][1640/3757] lr: 1.0000e-02 eta: 2 days, 16:20:00 time: 0.6762 data_time: 0.2266 memory: 17350 grad_norm: 5.6000 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3126 loss: 2.3126 2022/07/22 05:44:52 - mmengine - INFO - Epoch(train) [8][1660/3757] lr: 1.0000e-02 eta: 2 days, 16:19:39 time: 0.6355 data_time: 0.1969 memory: 17350 grad_norm: 5.4624 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5599 loss: 2.5599 2022/07/22 05:45:06 - mmengine - INFO - Epoch(train) [8][1680/3757] lr: 1.0000e-02 eta: 2 days, 16:19:40 time: 0.7238 data_time: 0.3145 memory: 17350 grad_norm: 5.5209 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3765 loss: 2.3765 2022/07/22 05:45:19 - mmengine - INFO - Epoch(train) [8][1700/3757] lr: 1.0000e-02 eta: 2 days, 16:19:19 time: 0.6359 data_time: 0.2428 memory: 17350 grad_norm: 5.4631 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2634 loss: 2.2634 2022/07/22 05:45:20 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 05:45:33 - mmengine - INFO - Epoch(train) [8][1720/3757] lr: 1.0000e-02 eta: 2 days, 16:19:12 time: 0.6925 data_time: 0.2104 memory: 17350 grad_norm: 5.4743 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6536 loss: 2.6536 2022/07/22 05:45:46 - mmengine - INFO - Epoch(train) [8][1740/3757] lr: 1.0000e-02 eta: 2 days, 16:18:56 time: 0.6539 data_time: 0.1930 memory: 17350 grad_norm: 5.6338 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3641 loss: 2.3641 2022/07/22 05:46:00 - mmengine - INFO - Epoch(train) [8][1760/3757] lr: 1.0000e-02 eta: 2 days, 16:18:56 time: 0.7178 data_time: 0.1479 memory: 17350 grad_norm: 5.3114 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2957 loss: 2.2957 2022/07/22 05:46:12 - mmengine - INFO - Epoch(train) [8][1780/3757] lr: 1.0000e-02 eta: 2 days, 16:18:27 time: 0.6045 data_time: 0.1528 memory: 17350 grad_norm: 5.3071 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6499 loss: 2.6499 2022/07/22 05:46:26 - mmengine - INFO - Epoch(train) [8][1800/3757] lr: 1.0000e-02 eta: 2 days, 16:18:22 time: 0.6980 data_time: 0.2335 memory: 17350 grad_norm: 5.2713 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1666 loss: 2.1666 2022/07/22 05:46:39 - mmengine - INFO - Epoch(train) [8][1820/3757] lr: 1.0000e-02 eta: 2 days, 16:18:00 time: 0.6341 data_time: 0.0826 memory: 17350 grad_norm: 5.2830 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5021 loss: 2.5021 2022/07/22 05:46:52 - mmengine - INFO - Epoch(train) [8][1840/3757] lr: 1.0000e-02 eta: 2 days, 16:17:50 time: 0.6773 data_time: 0.1671 memory: 17350 grad_norm: 5.4107 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3248 loss: 2.3248 2022/07/22 05:47:05 - mmengine - INFO - Epoch(train) [8][1860/3757] lr: 1.0000e-02 eta: 2 days, 16:17:31 time: 0.6435 data_time: 0.1856 memory: 17350 grad_norm: 5.3279 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2061 loss: 2.2061 2022/07/22 05:47:19 - mmengine - INFO - Epoch(train) [8][1880/3757] lr: 1.0000e-02 eta: 2 days, 16:17:29 time: 0.7101 data_time: 0.2439 memory: 17350 grad_norm: 5.3990 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6928 loss: 2.6928 2022/07/22 05:47:32 - mmengine - INFO - Epoch(train) [8][1900/3757] lr: 1.0000e-02 eta: 2 days, 16:17:03 time: 0.6172 data_time: 0.1884 memory: 17350 grad_norm: 5.4197 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5383 loss: 2.5383 2022/07/22 05:47:47 - mmengine - INFO - Epoch(train) [8][1920/3757] lr: 1.0000e-02 eta: 2 days, 16:17:13 time: 0.7588 data_time: 0.2285 memory: 17350 grad_norm: 5.4366 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5784 loss: 2.5784 2022/07/22 05:47:58 - mmengine - INFO - Epoch(train) [8][1940/3757] lr: 1.0000e-02 eta: 2 days, 16:16:34 time: 0.5609 data_time: 0.1225 memory: 17350 grad_norm: 5.4738 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5410 loss: 2.5410 2022/07/22 05:48:12 - mmengine - INFO - Epoch(train) [8][1960/3757] lr: 1.0000e-02 eta: 2 days, 16:16:32 time: 0.7157 data_time: 0.3699 memory: 17350 grad_norm: 5.5289 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2012 loss: 2.2012 2022/07/22 05:48:25 - mmengine - INFO - Epoch(train) [8][1980/3757] lr: 1.0000e-02 eta: 2 days, 16:16:07 time: 0.6174 data_time: 0.2700 memory: 17350 grad_norm: 5.3089 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5341 loss: 2.5341 2022/07/22 05:48:40 - mmengine - INFO - Epoch(train) [8][2000/3757] lr: 1.0000e-02 eta: 2 days, 16:16:13 time: 0.7432 data_time: 0.2970 memory: 17350 grad_norm: 5.4421 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3439 loss: 2.3439 2022/07/22 05:48:52 - mmengine - INFO - Epoch(train) [8][2020/3757] lr: 1.0000e-02 eta: 2 days, 16:15:43 time: 0.6000 data_time: 0.1278 memory: 17350 grad_norm: 5.2443 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0617 loss: 2.0617 2022/07/22 05:49:07 - mmengine - INFO - Epoch(train) [8][2040/3757] lr: 1.0000e-02 eta: 2 days, 16:15:55 time: 0.7673 data_time: 0.1556 memory: 17350 grad_norm: 5.5795 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0851 loss: 2.0851 2022/07/22 05:49:19 - mmengine - INFO - Epoch(train) [8][2060/3757] lr: 1.0000e-02 eta: 2 days, 16:15:22 time: 0.5852 data_time: 0.0375 memory: 17350 grad_norm: 5.3212 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5873 loss: 2.5873 2022/07/22 05:49:33 - mmengine - INFO - Epoch(train) [8][2080/3757] lr: 1.0000e-02 eta: 2 days, 16:15:20 time: 0.7145 data_time: 0.0495 memory: 17350 grad_norm: 5.3978 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3774 loss: 2.3774 2022/07/22 05:49:44 - mmengine - INFO - Epoch(train) [8][2100/3757] lr: 1.0000e-02 eta: 2 days, 16:14:44 time: 0.5736 data_time: 0.0850 memory: 17350 grad_norm: 5.3892 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4966 loss: 2.4966 2022/07/22 05:49:58 - mmengine - INFO - Epoch(train) [8][2120/3757] lr: 1.0000e-02 eta: 2 days, 16:14:38 time: 0.6928 data_time: 0.1806 memory: 17350 grad_norm: 5.4211 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6513 loss: 2.6513 2022/07/22 05:50:11 - mmengine - INFO - Epoch(train) [8][2140/3757] lr: 1.0000e-02 eta: 2 days, 16:14:20 time: 0.6486 data_time: 0.1158 memory: 17350 grad_norm: 5.4931 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4659 loss: 2.4659 2022/07/22 05:50:26 - mmengine - INFO - Epoch(train) [8][2160/3757] lr: 1.0000e-02 eta: 2 days, 16:14:22 time: 0.7284 data_time: 0.1139 memory: 17350 grad_norm: 5.3709 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3528 loss: 2.3528 2022/07/22 05:50:38 - mmengine - INFO - Epoch(train) [8][2180/3757] lr: 1.0000e-02 eta: 2 days, 16:13:50 time: 0.5913 data_time: 0.0949 memory: 17350 grad_norm: 5.3419 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3973 loss: 2.3973 2022/07/22 05:50:53 - mmengine - INFO - Epoch(train) [8][2200/3757] lr: 1.0000e-02 eta: 2 days, 16:13:55 time: 0.7405 data_time: 0.1168 memory: 17350 grad_norm: 5.5727 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5492 loss: 2.5492 2022/07/22 05:51:05 - mmengine - INFO - Epoch(train) [8][2220/3757] lr: 1.0000e-02 eta: 2 days, 16:13:31 time: 0.6220 data_time: 0.1071 memory: 17350 grad_norm: 5.5847 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2352 loss: 2.2352 2022/07/22 05:51:18 - mmengine - INFO - Epoch(train) [8][2240/3757] lr: 1.0000e-02 eta: 2 days, 16:13:20 time: 0.6762 data_time: 0.2362 memory: 17350 grad_norm: 5.2622 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6124 loss: 2.6124 2022/07/22 05:51:32 - mmengine - INFO - Epoch(train) [8][2260/3757] lr: 1.0000e-02 eta: 2 days, 16:13:08 time: 0.6703 data_time: 0.1547 memory: 17350 grad_norm: 5.4456 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4674 loss: 2.4674 2022/07/22 05:51:46 - mmengine - INFO - Epoch(train) [8][2280/3757] lr: 1.0000e-02 eta: 2 days, 16:13:00 time: 0.6868 data_time: 0.2497 memory: 17350 grad_norm: 5.4425 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4271 loss: 2.4271 2022/07/22 05:51:58 - mmengine - INFO - Epoch(train) [8][2300/3757] lr: 1.0000e-02 eta: 2 days, 16:12:32 time: 0.6054 data_time: 0.2295 memory: 17350 grad_norm: 5.4673 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4382 loss: 2.4382 2022/07/22 05:52:13 - mmengine - INFO - Epoch(train) [8][2320/3757] lr: 1.0000e-02 eta: 2 days, 16:12:38 time: 0.7478 data_time: 0.4121 memory: 17350 grad_norm: 5.3104 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1704 loss: 2.1704 2022/07/22 05:52:25 - mmengine - INFO - Epoch(train) [8][2340/3757] lr: 1.0000e-02 eta: 2 days, 16:12:10 time: 0.6055 data_time: 0.2325 memory: 17350 grad_norm: 5.4300 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3476 loss: 2.3476 2022/07/22 05:52:39 - mmengine - INFO - Epoch(train) [8][2360/3757] lr: 1.0000e-02 eta: 2 days, 16:12:04 time: 0.6949 data_time: 0.2380 memory: 17350 grad_norm: 5.5423 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2720 loss: 2.2720 2022/07/22 05:52:51 - mmengine - INFO - Epoch(train) [8][2380/3757] lr: 1.0000e-02 eta: 2 days, 16:11:44 time: 0.6361 data_time: 0.1426 memory: 17350 grad_norm: 5.5794 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7693 loss: 2.7693 2022/07/22 05:53:06 - mmengine - INFO - Epoch(train) [8][2400/3757] lr: 1.0000e-02 eta: 2 days, 16:11:39 time: 0.7037 data_time: 0.2289 memory: 17350 grad_norm: 5.4455 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2255 loss: 2.2255 2022/07/22 05:53:18 - mmengine - INFO - Epoch(train) [8][2420/3757] lr: 1.0000e-02 eta: 2 days, 16:11:18 time: 0.6331 data_time: 0.1571 memory: 17350 grad_norm: 5.6502 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4669 loss: 2.4669 2022/07/22 05:53:33 - mmengine - INFO - Epoch(train) [8][2440/3757] lr: 1.0000e-02 eta: 2 days, 16:11:22 time: 0.7381 data_time: 0.1854 memory: 17350 grad_norm: 5.3204 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5258 loss: 2.5258 2022/07/22 05:53:45 - mmengine - INFO - Epoch(train) [8][2460/3757] lr: 1.0000e-02 eta: 2 days, 16:10:56 time: 0.6115 data_time: 0.1133 memory: 17350 grad_norm: 5.5189 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1410 loss: 2.1410 2022/07/22 05:54:00 - mmengine - INFO - Epoch(train) [8][2480/3757] lr: 1.0000e-02 eta: 2 days, 16:11:01 time: 0.7443 data_time: 0.1441 memory: 17350 grad_norm: 5.5065 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3407 loss: 2.3407 2022/07/22 05:54:12 - mmengine - INFO - Epoch(train) [8][2500/3757] lr: 1.0000e-02 eta: 2 days, 16:10:28 time: 0.5815 data_time: 0.0889 memory: 17350 grad_norm: 5.5642 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1275 loss: 2.1275 2022/07/22 05:54:26 - mmengine - INFO - Epoch(train) [8][2520/3757] lr: 1.0000e-02 eta: 2 days, 16:10:25 time: 0.7110 data_time: 0.0919 memory: 17350 grad_norm: 5.4737 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3516 loss: 2.3516 2022/07/22 05:54:38 - mmengine - INFO - Epoch(train) [8][2540/3757] lr: 1.0000e-02 eta: 2 days, 16:10:01 time: 0.6202 data_time: 0.0994 memory: 17350 grad_norm: 5.4055 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3057 loss: 2.3057 2022/07/22 05:54:52 - mmengine - INFO - Epoch(train) [8][2560/3757] lr: 1.0000e-02 eta: 2 days, 16:09:56 time: 0.6995 data_time: 0.0671 memory: 17350 grad_norm: 5.3976 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3616 loss: 2.3616 2022/07/22 05:55:07 - mmengine - INFO - Epoch(train) [8][2580/3757] lr: 1.0000e-02 eta: 2 days, 16:09:56 time: 0.7213 data_time: 0.0233 memory: 17350 grad_norm: 5.2697 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0750 loss: 2.0750 2022/07/22 05:55:20 - mmengine - INFO - Epoch(train) [8][2600/3757] lr: 1.0000e-02 eta: 2 days, 16:09:36 time: 0.6404 data_time: 0.0231 memory: 17350 grad_norm: 5.3486 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2093 loss: 2.2093 2022/07/22 05:55:34 - mmengine - INFO - Epoch(train) [8][2620/3757] lr: 1.0000e-02 eta: 2 days, 16:09:32 time: 0.7053 data_time: 0.0218 memory: 17350 grad_norm: 5.3480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1498 loss: 2.1498 2022/07/22 05:55:45 - mmengine - INFO - Epoch(train) [8][2640/3757] lr: 1.0000e-02 eta: 2 days, 16:09:01 time: 0.5913 data_time: 0.0226 memory: 17350 grad_norm: 5.3750 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3419 loss: 2.3419 2022/07/22 05:55:59 - mmengine - INFO - Epoch(train) [8][2660/3757] lr: 1.0000e-02 eta: 2 days, 16:08:53 time: 0.6898 data_time: 0.0224 memory: 17350 grad_norm: 5.4068 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1886 loss: 2.1886 2022/07/22 05:56:13 - mmengine - INFO - Epoch(train) [8][2680/3757] lr: 1.0000e-02 eta: 2 days, 16:08:45 time: 0.6885 data_time: 0.0225 memory: 17350 grad_norm: 5.5284 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1873 loss: 2.1873 2022/07/22 05:56:25 - mmengine - INFO - Epoch(train) [8][2700/3757] lr: 1.0000e-02 eta: 2 days, 16:08:19 time: 0.6121 data_time: 0.0400 memory: 17350 grad_norm: 5.5118 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3306 loss: 2.3306 2022/07/22 05:56:28 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 05:56:39 - mmengine - INFO - Epoch(train) [8][2720/3757] lr: 1.0000e-02 eta: 2 days, 16:08:15 time: 0.7063 data_time: 0.0475 memory: 17350 grad_norm: 5.4858 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2161 loss: 2.2161 2022/07/22 05:56:53 - mmengine - INFO - Epoch(train) [8][2740/3757] lr: 1.0000e-02 eta: 2 days, 16:08:02 time: 0.6672 data_time: 0.0307 memory: 17350 grad_norm: 5.6142 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5160 loss: 2.5160 2022/07/22 05:57:06 - mmengine - INFO - Epoch(train) [8][2760/3757] lr: 1.0000e-02 eta: 2 days, 16:07:50 time: 0.6679 data_time: 0.0242 memory: 17350 grad_norm: 5.3455 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4413 loss: 2.4413 2022/07/22 05:57:19 - mmengine - INFO - Epoch(train) [8][2780/3757] lr: 1.0000e-02 eta: 2 days, 16:07:29 time: 0.6369 data_time: 0.0217 memory: 17350 grad_norm: 5.2577 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2851 loss: 2.2851 2022/07/22 05:57:33 - mmengine - INFO - Epoch(train) [8][2800/3757] lr: 1.0000e-02 eta: 2 days, 16:07:29 time: 0.7222 data_time: 0.0445 memory: 17350 grad_norm: 5.6051 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5283 loss: 2.5283 2022/07/22 05:57:46 - mmengine - INFO - Epoch(train) [8][2820/3757] lr: 1.0000e-02 eta: 2 days, 16:07:04 time: 0.6160 data_time: 0.0458 memory: 17350 grad_norm: 5.3364 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3442 loss: 2.3442 2022/07/22 05:58:00 - mmengine - INFO - Epoch(train) [8][2840/3757] lr: 1.0000e-02 eta: 2 days, 16:06:58 time: 0.6968 data_time: 0.0344 memory: 17350 grad_norm: 5.4219 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3982 loss: 2.3982 2022/07/22 05:58:12 - mmengine - INFO - Epoch(train) [8][2860/3757] lr: 1.0000e-02 eta: 2 days, 16:06:38 time: 0.6370 data_time: 0.0651 memory: 17350 grad_norm: 5.3664 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2898 loss: 2.2898 2022/07/22 05:58:25 - mmengine - INFO - Epoch(train) [8][2880/3757] lr: 1.0000e-02 eta: 2 days, 16:06:23 time: 0.6579 data_time: 0.1353 memory: 17350 grad_norm: 5.4425 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5756 loss: 2.5756 2022/07/22 05:58:40 - mmengine - INFO - Epoch(train) [8][2900/3757] lr: 1.0000e-02 eta: 2 days, 16:06:20 time: 0.7099 data_time: 0.0601 memory: 17350 grad_norm: 5.3706 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1404 loss: 2.1404 2022/07/22 05:58:53 - mmengine - INFO - Epoch(train) [8][2920/3757] lr: 1.0000e-02 eta: 2 days, 16:06:09 time: 0.6780 data_time: 0.1675 memory: 17350 grad_norm: 5.4503 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2917 loss: 2.2917 2022/07/22 05:59:06 - mmengine - INFO - Epoch(train) [8][2940/3757] lr: 1.0000e-02 eta: 2 days, 16:05:48 time: 0.6325 data_time: 0.1690 memory: 17350 grad_norm: 5.2728 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4678 loss: 2.4678 2022/07/22 05:59:19 - mmengine - INFO - Epoch(train) [8][2960/3757] lr: 1.0000e-02 eta: 2 days, 16:05:37 time: 0.6780 data_time: 0.2240 memory: 17350 grad_norm: 5.5760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3149 loss: 2.3149 2022/07/22 05:59:33 - mmengine - INFO - Epoch(train) [8][2980/3757] lr: 1.0000e-02 eta: 2 days, 16:05:24 time: 0.6659 data_time: 0.1668 memory: 17350 grad_norm: 5.2937 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3278 loss: 2.3278 2022/07/22 05:59:46 - mmengine - INFO - Epoch(train) [8][3000/3757] lr: 1.0000e-02 eta: 2 days, 16:05:09 time: 0.6576 data_time: 0.2147 memory: 17350 grad_norm: 5.2318 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4993 loss: 2.4993 2022/07/22 06:00:00 - mmengine - INFO - Epoch(train) [8][3020/3757] lr: 1.0000e-02 eta: 2 days, 16:05:00 time: 0.6831 data_time: 0.1437 memory: 17350 grad_norm: 5.2920 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1262 loss: 2.1262 2022/07/22 06:00:14 - mmengine - INFO - Epoch(train) [8][3040/3757] lr: 1.0000e-02 eta: 2 days, 16:04:55 time: 0.7037 data_time: 0.1802 memory: 17350 grad_norm: 5.5767 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6716 loss: 2.6716 2022/07/22 06:00:27 - mmengine - INFO - Epoch(train) [8][3060/3757] lr: 1.0000e-02 eta: 2 days, 16:04:39 time: 0.6550 data_time: 0.2288 memory: 17350 grad_norm: 5.3263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1734 loss: 2.1734 2022/07/22 06:00:40 - mmengine - INFO - Epoch(train) [8][3080/3757] lr: 1.0000e-02 eta: 2 days, 16:04:28 time: 0.6748 data_time: 0.2352 memory: 17350 grad_norm: 5.2919 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1926 loss: 2.1926 2022/07/22 06:00:52 - mmengine - INFO - Epoch(train) [8][3100/3757] lr: 1.0000e-02 eta: 2 days, 16:03:59 time: 0.5981 data_time: 0.2229 memory: 17350 grad_norm: 5.2716 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9966 loss: 1.9966 2022/07/22 06:01:08 - mmengine - INFO - Epoch(train) [8][3120/3757] lr: 1.0000e-02 eta: 2 days, 16:04:11 time: 0.7745 data_time: 0.3358 memory: 17350 grad_norm: 5.4834 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6018 loss: 2.6018 2022/07/22 06:01:19 - mmengine - INFO - Epoch(train) [8][3140/3757] lr: 1.0000e-02 eta: 2 days, 16:03:31 time: 0.5520 data_time: 0.2092 memory: 17350 grad_norm: 5.3950 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9641 loss: 1.9641 2022/07/22 06:01:33 - mmengine - INFO - Epoch(train) [8][3160/3757] lr: 1.0000e-02 eta: 2 days, 16:03:28 time: 0.7125 data_time: 0.3571 memory: 17350 grad_norm: 5.4726 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3144 loss: 2.3144 2022/07/22 06:01:46 - mmengine - INFO - Epoch(train) [8][3180/3757] lr: 1.0000e-02 eta: 2 days, 16:03:08 time: 0.6356 data_time: 0.2426 memory: 17350 grad_norm: 5.4597 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9680 loss: 1.9680 2022/07/22 06:02:00 - mmengine - INFO - Epoch(train) [8][3200/3757] lr: 1.0000e-02 eta: 2 days, 16:03:10 time: 0.7337 data_time: 0.4036 memory: 17350 grad_norm: 5.4346 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1712 loss: 2.1712 2022/07/22 06:02:12 - mmengine - INFO - Epoch(train) [8][3220/3757] lr: 1.0000e-02 eta: 2 days, 16:02:34 time: 0.5696 data_time: 0.2370 memory: 17350 grad_norm: 5.4027 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3245 loss: 2.3245 2022/07/22 06:02:27 - mmengine - INFO - Epoch(train) [8][3240/3757] lr: 1.0000e-02 eta: 2 days, 16:02:43 time: 0.7599 data_time: 0.4270 memory: 17350 grad_norm: 5.4080 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1411 loss: 2.1411 2022/07/22 06:02:39 - mmengine - INFO - Epoch(train) [8][3260/3757] lr: 1.0000e-02 eta: 2 days, 16:02:13 time: 0.5937 data_time: 0.2635 memory: 17350 grad_norm: 5.4406 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2440 loss: 2.2440 2022/07/22 06:02:54 - mmengine - INFO - Epoch(train) [8][3280/3757] lr: 1.0000e-02 eta: 2 days, 16:02:17 time: 0.7387 data_time: 0.4065 memory: 17350 grad_norm: 5.3436 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6572 loss: 2.6572 2022/07/22 06:03:05 - mmengine - INFO - Epoch(train) [8][3300/3757] lr: 1.0000e-02 eta: 2 days, 16:01:46 time: 0.5909 data_time: 0.2588 memory: 17350 grad_norm: 5.4611 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3760 loss: 2.3760 2022/07/22 06:03:20 - mmengine - INFO - Epoch(train) [8][3320/3757] lr: 1.0000e-02 eta: 2 days, 16:01:51 time: 0.7449 data_time: 0.4112 memory: 17350 grad_norm: 5.2991 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0244 loss: 2.0244 2022/07/22 06:03:32 - mmengine - INFO - Epoch(train) [8][3340/3757] lr: 1.0000e-02 eta: 2 days, 16:01:15 time: 0.5720 data_time: 0.2441 memory: 17350 grad_norm: 5.4891 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3573 loss: 2.3573 2022/07/22 06:03:46 - mmengine - INFO - Epoch(train) [8][3360/3757] lr: 1.0000e-02 eta: 2 days, 16:01:11 time: 0.7044 data_time: 0.3752 memory: 17350 grad_norm: 5.4733 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1440 loss: 2.1440 2022/07/22 06:03:58 - mmengine - INFO - Epoch(train) [8][3380/3757] lr: 1.0000e-02 eta: 2 days, 16:00:48 time: 0.6257 data_time: 0.2946 memory: 17350 grad_norm: 5.4165 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0578 loss: 2.0578 2022/07/22 06:04:13 - mmengine - INFO - Epoch(train) [8][3400/3757] lr: 1.0000e-02 eta: 2 days, 16:00:54 time: 0.7462 data_time: 0.4137 memory: 17350 grad_norm: 5.3222 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4328 loss: 2.4328 2022/07/22 06:04:25 - mmengine - INFO - Epoch(train) [8][3420/3757] lr: 1.0000e-02 eta: 2 days, 16:00:23 time: 0.5934 data_time: 0.2633 memory: 17350 grad_norm: 5.5065 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4413 loss: 2.4413 2022/07/22 06:04:40 - mmengine - INFO - Epoch(train) [8][3440/3757] lr: 1.0000e-02 eta: 2 days, 16:00:29 time: 0.7490 data_time: 0.4150 memory: 17350 grad_norm: 5.3342 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3037 loss: 2.3037 2022/07/22 06:04:52 - mmengine - INFO - Epoch(train) [8][3460/3757] lr: 1.0000e-02 eta: 2 days, 15:59:57 time: 0.5845 data_time: 0.2545 memory: 17350 grad_norm: 5.3286 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3869 loss: 2.3869 2022/07/22 06:05:07 - mmengine - INFO - Epoch(train) [8][3480/3757] lr: 1.0000e-02 eta: 2 days, 16:00:09 time: 0.7757 data_time: 0.3605 memory: 17350 grad_norm: 5.3023 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6402 loss: 2.6402 2022/07/22 06:05:19 - mmengine - INFO - Epoch(train) [8][3500/3757] lr: 1.0000e-02 eta: 2 days, 15:59:36 time: 0.5793 data_time: 0.1970 memory: 17350 grad_norm: 5.3953 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2434 loss: 2.2434 2022/07/22 06:05:33 - mmengine - INFO - Epoch(train) [8][3520/3757] lr: 1.0000e-02 eta: 2 days, 15:59:31 time: 0.7030 data_time: 0.2906 memory: 17350 grad_norm: 5.2957 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1334 loss: 2.1334 2022/07/22 06:05:45 - mmengine - INFO - Epoch(train) [8][3540/3757] lr: 1.0000e-02 eta: 2 days, 15:59:03 time: 0.6035 data_time: 0.2374 memory: 17350 grad_norm: 5.3604 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2845 loss: 2.2845 2022/07/22 06:06:00 - mmengine - INFO - Epoch(train) [8][3560/3757] lr: 1.0000e-02 eta: 2 days, 15:59:06 time: 0.7343 data_time: 0.3932 memory: 17350 grad_norm: 5.5167 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5064 loss: 2.5064 2022/07/22 06:06:13 - mmengine - INFO - Epoch(train) [8][3580/3757] lr: 1.0000e-02 eta: 2 days, 15:58:48 time: 0.6473 data_time: 0.3230 memory: 17350 grad_norm: 5.2674 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5079 loss: 2.5079 2022/07/22 06:06:28 - mmengine - INFO - Epoch(train) [8][3600/3757] lr: 1.0000e-02 eta: 2 days, 15:58:52 time: 0.7418 data_time: 0.4057 memory: 17350 grad_norm: 5.3739 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3126 loss: 2.3126 2022/07/22 06:06:39 - mmengine - INFO - Epoch(train) [8][3620/3757] lr: 1.0000e-02 eta: 2 days, 15:58:18 time: 0.5751 data_time: 0.2399 memory: 17350 grad_norm: 5.4795 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2422 loss: 2.2422 2022/07/22 06:06:54 - mmengine - INFO - Epoch(train) [8][3640/3757] lr: 1.0000e-02 eta: 2 days, 15:58:24 time: 0.7484 data_time: 0.4205 memory: 17350 grad_norm: 5.4697 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1410 loss: 2.1410 2022/07/22 06:07:06 - mmengine - INFO - Epoch(train) [8][3660/3757] lr: 1.0000e-02 eta: 2 days, 15:57:49 time: 0.5724 data_time: 0.2425 memory: 17350 grad_norm: 5.3225 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0870 loss: 2.0870 2022/07/22 06:07:20 - mmengine - INFO - Epoch(train) [8][3680/3757] lr: 1.0000e-02 eta: 2 days, 15:57:50 time: 0.7294 data_time: 0.3962 memory: 17350 grad_norm: 5.3418 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1931 loss: 2.1931 2022/07/22 06:07:32 - mmengine - INFO - Epoch(train) [8][3700/3757] lr: 1.0000e-02 eta: 2 days, 15:57:16 time: 0.5773 data_time: 0.2245 memory: 17350 grad_norm: 5.3776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1811 loss: 2.1811 2022/07/22 06:07:32 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 06:07:46 - mmengine - INFO - Epoch(train) [8][3720/3757] lr: 1.0000e-02 eta: 2 days, 15:57:15 time: 0.7171 data_time: 0.3224 memory: 17350 grad_norm: 5.6083 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1843 loss: 2.1843 2022/07/22 06:07:58 - mmengine - INFO - Epoch(train) [8][3740/3757] lr: 1.0000e-02 eta: 2 days, 15:56:51 time: 0.6194 data_time: 0.2180 memory: 17350 grad_norm: 5.4264 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1364 loss: 2.1364 2022/07/22 06:08:07 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 06:08:07 - mmengine - INFO - Epoch(train) [8][3757/3757] lr: 1.0000e-02 eta: 2 days, 15:56:51 time: 0.4855 data_time: 0.1553 memory: 17350 grad_norm: 5.3726 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 2.1475 loss: 2.1475 2022/07/22 06:08:24 - mmengine - INFO - Epoch(val) [8][20/310] eta: 0:03:59 time: 0.8265 data_time: 0.7112 memory: 3406 2022/07/22 06:08:35 - mmengine - INFO - Epoch(val) [8][40/310] eta: 0:02:32 time: 0.5634 data_time: 0.4464 memory: 3406 2022/07/22 06:08:50 - mmengine - INFO - Epoch(val) [8][60/310] eta: 0:03:12 time: 0.7695 data_time: 0.6578 memory: 3406 2022/07/22 06:09:01 - mmengine - INFO - Epoch(val) [8][80/310] eta: 0:02:04 time: 0.5416 data_time: 0.4301 memory: 3406 2022/07/22 06:09:17 - mmengine - INFO - Epoch(val) [8][100/310] eta: 0:02:45 time: 0.7888 data_time: 0.6761 memory: 3406 2022/07/22 06:09:29 - mmengine - INFO - Epoch(val) [8][120/310] eta: 0:01:51 time: 0.5893 data_time: 0.4754 memory: 3406 2022/07/22 06:09:44 - mmengine - INFO - Epoch(val) [8][140/310] eta: 0:02:09 time: 0.7608 data_time: 0.6466 memory: 3406 2022/07/22 06:09:55 - mmengine - INFO - Epoch(val) [8][160/310] eta: 0:01:23 time: 0.5590 data_time: 0.4480 memory: 3406 2022/07/22 06:10:11 - mmengine - INFO - Epoch(val) [8][180/310] eta: 0:01:41 time: 0.7779 data_time: 0.6647 memory: 3406 2022/07/22 06:10:21 - mmengine - INFO - Epoch(val) [8][200/310] eta: 0:00:59 time: 0.5415 data_time: 0.4309 memory: 3406 2022/07/22 06:10:37 - mmengine - INFO - Epoch(val) [8][220/310] eta: 0:01:12 time: 0.8018 data_time: 0.6892 memory: 3406 2022/07/22 06:10:48 - mmengine - INFO - Epoch(val) [8][240/310] eta: 0:00:37 time: 0.5422 data_time: 0.4270 memory: 3406 2022/07/22 06:11:04 - mmengine - INFO - Epoch(val) [8][260/310] eta: 0:00:38 time: 0.7698 data_time: 0.6579 memory: 3406 2022/07/22 06:11:15 - mmengine - INFO - Epoch(val) [8][280/310] eta: 0:00:16 time: 0.5487 data_time: 0.4359 memory: 3406 2022/07/22 06:11:29 - mmengine - INFO - Epoch(val) [8][300/310] eta: 0:00:07 time: 0.7286 data_time: 0.6129 memory: 3406 2022/07/22 06:11:34 - mmengine - INFO - Epoch(val) [8][310/310] acc/top1: 0.5044 acc/top5: 0.7667 acc/mean1: 0.5043 2022/07/22 06:11:35 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_8.pth is removed 2022/07/22 06:11:39 - mmengine - INFO - The best checkpoint with 0.5044 acc/top1 at 9 epoch is saved to best_acc/top1_epoch_9.pth. 2022/07/22 06:11:54 - mmengine - INFO - Epoch(train) [9][20/3757] lr: 1.0000e-02 eta: 2 days, 15:54:40 time: 0.7697 data_time: 0.4415 memory: 17350 grad_norm: 5.5229 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4585 loss: 2.4585 2022/07/22 06:12:06 - mmengine - INFO - Epoch(train) [9][40/3757] lr: 1.0000e-02 eta: 2 days, 15:54:10 time: 0.5925 data_time: 0.2651 memory: 17350 grad_norm: 5.3741 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4293 loss: 2.4293 2022/07/22 06:12:21 - mmengine - INFO - Epoch(train) [9][60/3757] lr: 1.0000e-02 eta: 2 days, 15:54:12 time: 0.7332 data_time: 0.4070 memory: 17350 grad_norm: 5.5085 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2683 loss: 2.2683 2022/07/22 06:12:33 - mmengine - INFO - Epoch(train) [9][80/3757] lr: 1.0000e-02 eta: 2 days, 15:53:39 time: 0.5808 data_time: 0.2559 memory: 17350 grad_norm: 5.5071 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1513 loss: 2.1513 2022/07/22 06:12:47 - mmengine - INFO - Epoch(train) [9][100/3757] lr: 1.0000e-02 eta: 2 days, 15:53:39 time: 0.7243 data_time: 0.3923 memory: 17350 grad_norm: 5.4498 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1532 loss: 2.1532 2022/07/22 06:12:59 - mmengine - INFO - Epoch(train) [9][120/3757] lr: 1.0000e-02 eta: 2 days, 15:53:14 time: 0.6149 data_time: 0.2777 memory: 17350 grad_norm: 5.3546 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1819 loss: 2.1819 2022/07/22 06:13:14 - mmengine - INFO - Epoch(train) [9][140/3757] lr: 1.0000e-02 eta: 2 days, 15:53:19 time: 0.7448 data_time: 0.4158 memory: 17350 grad_norm: 5.3046 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4109 loss: 2.4109 2022/07/22 06:13:26 - mmengine - INFO - Epoch(train) [9][160/3757] lr: 1.0000e-02 eta: 2 days, 15:52:52 time: 0.6043 data_time: 0.2743 memory: 17350 grad_norm: 5.3988 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2292 loss: 2.2292 2022/07/22 06:13:40 - mmengine - INFO - Epoch(train) [9][180/3757] lr: 1.0000e-02 eta: 2 days, 15:52:43 time: 0.6852 data_time: 0.3478 memory: 17350 grad_norm: 5.4520 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4891 loss: 2.4891 2022/07/22 06:13:52 - mmengine - INFO - Epoch(train) [9][200/3757] lr: 1.0000e-02 eta: 2 days, 15:52:16 time: 0.6044 data_time: 0.2808 memory: 17350 grad_norm: 5.4293 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.4692 loss: 2.4692 2022/07/22 06:14:07 - mmengine - INFO - Epoch(train) [9][220/3757] lr: 1.0000e-02 eta: 2 days, 15:52:25 time: 0.7669 data_time: 0.4465 memory: 17350 grad_norm: 5.1415 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2045 loss: 2.2045 2022/07/22 06:14:20 - mmengine - INFO - Epoch(train) [9][240/3757] lr: 1.0000e-02 eta: 2 days, 15:52:03 time: 0.6277 data_time: 0.2980 memory: 17350 grad_norm: 5.4521 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6988 loss: 2.6988 2022/07/22 06:14:35 - mmengine - INFO - Epoch(train) [9][260/3757] lr: 1.0000e-02 eta: 2 days, 15:52:07 time: 0.7422 data_time: 0.4186 memory: 17350 grad_norm: 5.3161 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3112 loss: 2.3112 2022/07/22 06:14:47 - mmengine - INFO - Epoch(train) [9][280/3757] lr: 1.0000e-02 eta: 2 days, 15:51:39 time: 0.5982 data_time: 0.2640 memory: 17350 grad_norm: 5.4121 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4110 loss: 2.4110 2022/07/22 06:15:00 - mmengine - INFO - Epoch(train) [9][300/3757] lr: 1.0000e-02 eta: 2 days, 15:51:28 time: 0.6756 data_time: 0.3454 memory: 17350 grad_norm: 5.5382 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4389 loss: 2.4389 2022/07/22 06:15:13 - mmengine - INFO - Epoch(train) [9][320/3757] lr: 1.0000e-02 eta: 2 days, 15:51:11 time: 0.6524 data_time: 0.3241 memory: 17350 grad_norm: 5.3340 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5070 loss: 2.5070 2022/07/22 06:15:28 - mmengine - INFO - Epoch(train) [9][340/3757] lr: 1.0000e-02 eta: 2 days, 15:51:10 time: 0.7168 data_time: 0.3871 memory: 17350 grad_norm: 5.4570 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3242 loss: 2.3242 2022/07/22 06:15:40 - mmengine - INFO - Epoch(train) [9][360/3757] lr: 1.0000e-02 eta: 2 days, 15:50:41 time: 0.5977 data_time: 0.2649 memory: 17350 grad_norm: 5.4074 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4875 loss: 2.4875 2022/07/22 06:15:54 - mmengine - INFO - Epoch(train) [9][380/3757] lr: 1.0000e-02 eta: 2 days, 15:50:41 time: 0.7246 data_time: 0.3960 memory: 17350 grad_norm: 5.4054 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.5360 loss: 2.5360 2022/07/22 06:16:06 - mmengine - INFO - Epoch(train) [9][400/3757] lr: 1.0000e-02 eta: 2 days, 15:50:11 time: 0.5919 data_time: 0.2483 memory: 17350 grad_norm: 5.3417 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4319 loss: 2.4319 2022/07/22 06:16:21 - mmengine - INFO - Epoch(train) [9][420/3757] lr: 1.0000e-02 eta: 2 days, 15:50:11 time: 0.7259 data_time: 0.3306 memory: 17350 grad_norm: 5.3445 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3532 loss: 2.3532 2022/07/22 06:16:33 - mmengine - INFO - Epoch(train) [9][440/3757] lr: 1.0000e-02 eta: 2 days, 15:49:44 time: 0.6026 data_time: 0.2727 memory: 17350 grad_norm: 5.2494 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4151 loss: 2.4151 2022/07/22 06:16:47 - mmengine - INFO - Epoch(train) [9][460/3757] lr: 1.0000e-02 eta: 2 days, 15:49:43 time: 0.7223 data_time: 0.2132 memory: 17350 grad_norm: 5.6152 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4855 loss: 2.4855 2022/07/22 06:16:59 - mmengine - INFO - Epoch(train) [9][480/3757] lr: 1.0000e-02 eta: 2 days, 15:49:19 time: 0.6178 data_time: 0.1213 memory: 17350 grad_norm: 5.3621 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5101 loss: 2.5101 2022/07/22 06:17:13 - mmengine - INFO - Epoch(train) [9][500/3757] lr: 1.0000e-02 eta: 2 days, 15:49:12 time: 0.6930 data_time: 0.0731 memory: 17350 grad_norm: 5.5082 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5403 loss: 2.5403 2022/07/22 06:17:26 - mmengine - INFO - Epoch(train) [9][520/3757] lr: 1.0000e-02 eta: 2 days, 15:48:48 time: 0.6175 data_time: 0.0581 memory: 17350 grad_norm: 5.3338 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1223 loss: 2.1223 2022/07/22 06:17:39 - mmengine - INFO - Epoch(train) [9][540/3757] lr: 1.0000e-02 eta: 2 days, 15:48:37 time: 0.6771 data_time: 0.0471 memory: 17350 grad_norm: 5.4034 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2925 loss: 2.2925 2022/07/22 06:17:52 - mmengine - INFO - Epoch(train) [9][560/3757] lr: 1.0000e-02 eta: 2 days, 15:48:22 time: 0.6569 data_time: 0.0380 memory: 17350 grad_norm: 5.3720 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4842 loss: 2.4842 2022/07/22 06:18:06 - mmengine - INFO - Epoch(train) [9][580/3757] lr: 1.0000e-02 eta: 2 days, 15:48:11 time: 0.6772 data_time: 0.0430 memory: 17350 grad_norm: 5.2430 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3885 loss: 2.3885 2022/07/22 06:18:20 - mmengine - INFO - Epoch(train) [9][600/3757] lr: 1.0000e-02 eta: 2 days, 15:48:03 time: 0.6908 data_time: 0.0334 memory: 17350 grad_norm: 5.3212 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4337 loss: 2.4337 2022/07/22 06:18:34 - mmengine - INFO - Epoch(train) [9][620/3757] lr: 1.0000e-02 eta: 2 days, 15:47:57 time: 0.6958 data_time: 0.0288 memory: 17350 grad_norm: 5.3663 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1823 loss: 2.1823 2022/07/22 06:18:46 - mmengine - INFO - Epoch(train) [9][640/3757] lr: 1.0000e-02 eta: 2 days, 15:47:35 time: 0.6296 data_time: 0.0409 memory: 17350 grad_norm: 5.4091 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4471 loss: 2.4471 2022/07/22 06:19:00 - mmengine - INFO - Epoch(train) [9][660/3757] lr: 1.0000e-02 eta: 2 days, 15:47:29 time: 0.6984 data_time: 0.0287 memory: 17350 grad_norm: 5.2994 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2421 loss: 2.2421 2022/07/22 06:19:13 - mmengine - INFO - Epoch(train) [9][680/3757] lr: 1.0000e-02 eta: 2 days, 15:47:10 time: 0.6391 data_time: 0.1565 memory: 17350 grad_norm: 5.4656 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2232 loss: 2.2232 2022/07/22 06:19:27 - mmengine - INFO - Epoch(train) [9][700/3757] lr: 1.0000e-02 eta: 2 days, 15:47:05 time: 0.7016 data_time: 0.2776 memory: 17350 grad_norm: 5.3693 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1466 loss: 2.1466 2022/07/22 06:19:40 - mmengine - INFO - Epoch(train) [9][720/3757] lr: 1.0000e-02 eta: 2 days, 15:46:47 time: 0.6442 data_time: 0.2230 memory: 17350 grad_norm: 5.3509 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1101 loss: 2.1101 2022/07/22 06:19:54 - mmengine - INFO - Epoch(train) [9][740/3757] lr: 1.0000e-02 eta: 2 days, 15:46:40 time: 0.6968 data_time: 0.3484 memory: 17350 grad_norm: 5.4181 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2514 loss: 2.2514 2022/07/22 06:20:07 - mmengine - INFO - Epoch(train) [9][760/3757] lr: 1.0000e-02 eta: 2 days, 15:46:24 time: 0.6534 data_time: 0.2578 memory: 17350 grad_norm: 5.2298 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2926 loss: 2.2926 2022/07/22 06:20:21 - mmengine - INFO - Epoch(train) [9][780/3757] lr: 1.0000e-02 eta: 2 days, 15:46:19 time: 0.7012 data_time: 0.3047 memory: 17350 grad_norm: 5.3053 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1222 loss: 2.1222 2022/07/22 06:20:33 - mmengine - INFO - Epoch(train) [9][800/3757] lr: 1.0000e-02 eta: 2 days, 15:45:57 time: 0.6266 data_time: 0.1582 memory: 17350 grad_norm: 5.3361 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5459 loss: 2.5459 2022/07/22 06:20:47 - mmengine - INFO - Epoch(train) [9][820/3757] lr: 1.0000e-02 eta: 2 days, 15:45:48 time: 0.6858 data_time: 0.2148 memory: 17350 grad_norm: 5.3933 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2821 loss: 2.2821 2022/07/22 06:21:00 - mmengine - INFO - Epoch(train) [9][840/3757] lr: 1.0000e-02 eta: 2 days, 15:45:32 time: 0.6543 data_time: 0.1469 memory: 17350 grad_norm: 5.3512 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4697 loss: 2.4697 2022/07/22 06:21:14 - mmengine - INFO - Epoch(train) [9][860/3757] lr: 1.0000e-02 eta: 2 days, 15:45:18 time: 0.6637 data_time: 0.1560 memory: 17350 grad_norm: 5.4275 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2946 loss: 2.2946 2022/07/22 06:21:27 - mmengine - INFO - Epoch(train) [9][880/3757] lr: 1.0000e-02 eta: 2 days, 15:45:05 time: 0.6655 data_time: 0.1897 memory: 17350 grad_norm: 5.3843 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1945 loss: 2.1945 2022/07/22 06:21:41 - mmengine - INFO - Epoch(train) [9][900/3757] lr: 1.0000e-02 eta: 2 days, 15:44:59 time: 0.6964 data_time: 0.3240 memory: 17350 grad_norm: 5.4711 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1112 loss: 2.1112 2022/07/22 06:21:54 - mmengine - INFO - Epoch(train) [9][920/3757] lr: 1.0000e-02 eta: 2 days, 15:44:41 time: 0.6448 data_time: 0.2089 memory: 17350 grad_norm: 5.4567 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6136 loss: 2.6136 2022/07/22 06:22:07 - mmengine - INFO - Epoch(train) [9][940/3757] lr: 1.0000e-02 eta: 2 days, 15:44:27 time: 0.6623 data_time: 0.2151 memory: 17350 grad_norm: 5.4426 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1344 loss: 2.1344 2022/07/22 06:22:10 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 06:22:21 - mmengine - INFO - Epoch(train) [9][960/3757] lr: 1.0000e-02 eta: 2 days, 15:44:17 time: 0.6838 data_time: 0.1051 memory: 17350 grad_norm: 5.4364 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0677 loss: 2.0677 2022/07/22 06:22:34 - mmengine - INFO - Epoch(train) [9][980/3757] lr: 1.0000e-02 eta: 2 days, 15:44:03 time: 0.6623 data_time: 0.1501 memory: 17350 grad_norm: 5.3873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5676 loss: 2.5676 2022/07/22 06:22:48 - mmengine - INFO - Epoch(train) [9][1000/3757] lr: 1.0000e-02 eta: 2 days, 15:43:58 time: 0.7002 data_time: 0.0883 memory: 17350 grad_norm: 5.2874 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0157 loss: 2.0157 2022/07/22 06:23:00 - mmengine - INFO - Epoch(train) [9][1020/3757] lr: 1.0000e-02 eta: 2 days, 15:43:28 time: 0.5921 data_time: 0.0243 memory: 17350 grad_norm: 5.4369 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4653 loss: 2.4653 2022/07/22 06:23:14 - mmengine - INFO - Epoch(train) [9][1040/3757] lr: 1.0000e-02 eta: 2 days, 15:43:30 time: 0.7372 data_time: 0.0235 memory: 17350 grad_norm: 5.4725 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3310 loss: 2.3310 2022/07/22 06:23:26 - mmengine - INFO - Epoch(train) [9][1060/3757] lr: 1.0000e-02 eta: 2 days, 15:43:02 time: 0.5981 data_time: 0.0264 memory: 17350 grad_norm: 5.3074 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4211 loss: 2.4211 2022/07/22 06:23:41 - mmengine - INFO - Epoch(train) [9][1080/3757] lr: 1.0000e-02 eta: 2 days, 15:43:02 time: 0.7257 data_time: 0.0238 memory: 17350 grad_norm: 5.5259 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4518 loss: 2.4518 2022/07/22 06:23:54 - mmengine - INFO - Epoch(train) [9][1100/3757] lr: 1.0000e-02 eta: 2 days, 15:42:46 time: 0.6518 data_time: 0.1050 memory: 17350 grad_norm: 5.3699 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3061 loss: 2.3061 2022/07/22 06:24:08 - mmengine - INFO - Epoch(train) [9][1120/3757] lr: 1.0000e-02 eta: 2 days, 15:42:36 time: 0.6836 data_time: 0.1323 memory: 17350 grad_norm: 5.4715 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2196 loss: 2.2196 2022/07/22 06:24:21 - mmengine - INFO - Epoch(train) [9][1140/3757] lr: 1.0000e-02 eta: 2 days, 15:42:20 time: 0.6514 data_time: 0.1012 memory: 17350 grad_norm: 5.4741 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4879 loss: 2.4879 2022/07/22 06:24:34 - mmengine - INFO - Epoch(train) [9][1160/3757] lr: 1.0000e-02 eta: 2 days, 15:42:10 time: 0.6800 data_time: 0.1010 memory: 17350 grad_norm: 5.3718 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0242 loss: 2.0242 2022/07/22 06:24:46 - mmengine - INFO - Epoch(train) [9][1180/3757] lr: 1.0000e-02 eta: 2 days, 15:41:43 time: 0.6060 data_time: 0.0375 memory: 17350 grad_norm: 5.3075 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4199 loss: 2.4199 2022/07/22 06:25:00 - mmengine - INFO - Epoch(train) [9][1200/3757] lr: 1.0000e-02 eta: 2 days, 15:41:37 time: 0.6984 data_time: 0.0240 memory: 17350 grad_norm: 5.3021 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0902 loss: 2.0902 2022/07/22 06:25:13 - mmengine - INFO - Epoch(train) [9][1220/3757] lr: 1.0000e-02 eta: 2 days, 15:41:15 time: 0.6239 data_time: 0.0261 memory: 17350 grad_norm: 5.2788 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0731 loss: 2.0731 2022/07/22 06:25:28 - mmengine - INFO - Epoch(train) [9][1240/3757] lr: 1.0000e-02 eta: 2 days, 15:41:17 time: 0.7363 data_time: 0.0221 memory: 17350 grad_norm: 5.5976 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1452 loss: 2.1452 2022/07/22 06:25:40 - mmengine - INFO - Epoch(train) [9][1260/3757] lr: 1.0000e-02 eta: 2 days, 15:40:50 time: 0.6049 data_time: 0.0214 memory: 17350 grad_norm: 5.6040 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2678 loss: 2.2678 2022/07/22 06:25:55 - mmengine - INFO - Epoch(train) [9][1280/3757] lr: 1.0000e-02 eta: 2 days, 15:40:59 time: 0.7646 data_time: 0.0210 memory: 17350 grad_norm: 5.5897 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4108 loss: 2.4108 2022/07/22 06:26:07 - mmengine - INFO - Epoch(train) [9][1300/3757] lr: 1.0000e-02 eta: 2 days, 15:40:28 time: 0.5859 data_time: 0.0232 memory: 17350 grad_norm: 5.5209 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2458 loss: 2.2458 2022/07/22 06:26:21 - mmengine - INFO - Epoch(train) [9][1320/3757] lr: 1.0000e-02 eta: 2 days, 15:40:27 time: 0.7238 data_time: 0.0218 memory: 17350 grad_norm: 5.3572 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0972 loss: 2.0972 2022/07/22 06:26:33 - mmengine - INFO - Epoch(train) [9][1340/3757] lr: 1.0000e-02 eta: 2 days, 15:39:59 time: 0.6000 data_time: 0.0221 memory: 17350 grad_norm: 5.4549 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2609 loss: 2.2609 2022/07/22 06:26:47 - mmengine - INFO - Epoch(train) [9][1360/3757] lr: 1.0000e-02 eta: 2 days, 15:39:53 time: 0.6967 data_time: 0.0227 memory: 17350 grad_norm: 5.5219 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3479 loss: 2.3479 2022/07/22 06:26:58 - mmengine - INFO - Epoch(train) [9][1380/3757] lr: 1.0000e-02 eta: 2 days, 15:39:19 time: 0.5699 data_time: 0.0210 memory: 17350 grad_norm: 5.3287 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5875 loss: 2.5875 2022/07/22 06:27:13 - mmengine - INFO - Epoch(train) [9][1400/3757] lr: 1.0000e-02 eta: 2 days, 15:39:21 time: 0.7369 data_time: 0.0210 memory: 17350 grad_norm: 5.5642 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5878 loss: 2.5878 2022/07/22 06:27:26 - mmengine - INFO - Epoch(train) [9][1420/3757] lr: 1.0000e-02 eta: 2 days, 15:38:58 time: 0.6240 data_time: 0.0244 memory: 17350 grad_norm: 5.3506 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2811 loss: 2.2811 2022/07/22 06:27:40 - mmengine - INFO - Epoch(train) [9][1440/3757] lr: 1.0000e-02 eta: 2 days, 15:38:52 time: 0.6981 data_time: 0.0212 memory: 17350 grad_norm: 5.3642 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3965 loss: 2.3965 2022/07/22 06:27:52 - mmengine - INFO - Epoch(train) [9][1460/3757] lr: 1.0000e-02 eta: 2 days, 15:38:33 time: 0.6390 data_time: 0.0218 memory: 17350 grad_norm: 5.7140 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3614 loss: 2.3614 2022/07/22 06:28:06 - mmengine - INFO - Epoch(train) [9][1480/3757] lr: 1.0000e-02 eta: 2 days, 15:38:23 time: 0.6812 data_time: 0.0219 memory: 17350 grad_norm: 5.3813 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1957 loss: 2.1957 2022/07/22 06:28:19 - mmengine - INFO - Epoch(train) [9][1500/3757] lr: 1.0000e-02 eta: 2 days, 15:38:02 time: 0.6311 data_time: 0.0218 memory: 17350 grad_norm: 5.3549 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2654 loss: 2.2654 2022/07/22 06:28:33 - mmengine - INFO - Epoch(train) [9][1520/3757] lr: 1.0000e-02 eta: 2 days, 15:38:01 time: 0.7197 data_time: 0.0249 memory: 17350 grad_norm: 5.3734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1783 loss: 2.1783 2022/07/22 06:28:45 - mmengine - INFO - Epoch(train) [9][1540/3757] lr: 1.0000e-02 eta: 2 days, 15:37:37 time: 0.6172 data_time: 0.0242 memory: 17350 grad_norm: 5.3970 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2903 loss: 2.2903 2022/07/22 06:29:00 - mmengine - INFO - Epoch(train) [9][1560/3757] lr: 1.0000e-02 eta: 2 days, 15:37:35 time: 0.7169 data_time: 0.0211 memory: 17350 grad_norm: 5.5611 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4065 loss: 2.4065 2022/07/22 06:29:12 - mmengine - INFO - Epoch(train) [9][1580/3757] lr: 1.0000e-02 eta: 2 days, 15:37:05 time: 0.5907 data_time: 0.0238 memory: 17350 grad_norm: 5.3967 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3214 loss: 2.3214 2022/07/22 06:29:25 - mmengine - INFO - Epoch(train) [9][1600/3757] lr: 1.0000e-02 eta: 2 days, 15:36:56 time: 0.6834 data_time: 0.0225 memory: 17350 grad_norm: 5.4974 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3749 loss: 2.3749 2022/07/22 06:29:38 - mmengine - INFO - Epoch(train) [9][1620/3757] lr: 1.0000e-02 eta: 2 days, 15:36:40 time: 0.6535 data_time: 0.0222 memory: 17350 grad_norm: 5.4689 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2767 loss: 2.2767 2022/07/22 06:29:53 - mmengine - INFO - Epoch(train) [9][1640/3757] lr: 1.0000e-02 eta: 2 days, 15:36:37 time: 0.7136 data_time: 0.0238 memory: 17350 grad_norm: 5.3298 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2230 loss: 2.2230 2022/07/22 06:30:05 - mmengine - INFO - Epoch(train) [9][1660/3757] lr: 1.0000e-02 eta: 2 days, 15:36:16 time: 0.6317 data_time: 0.0231 memory: 17350 grad_norm: 5.4507 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1974 loss: 2.1974 2022/07/22 06:30:19 - mmengine - INFO - Epoch(train) [9][1680/3757] lr: 1.0000e-02 eta: 2 days, 15:36:04 time: 0.6713 data_time: 0.0214 memory: 17350 grad_norm: 5.4400 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2198 loss: 2.2198 2022/07/22 06:30:32 - mmengine - INFO - Epoch(train) [9][1700/3757] lr: 1.0000e-02 eta: 2 days, 15:35:53 time: 0.6743 data_time: 0.0307 memory: 17350 grad_norm: 5.3186 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0906 loss: 2.0906 2022/07/22 06:30:45 - mmengine - INFO - Epoch(train) [9][1720/3757] lr: 1.0000e-02 eta: 2 days, 15:35:35 time: 0.6464 data_time: 0.0232 memory: 17350 grad_norm: 5.5573 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1341 loss: 2.1341 2022/07/22 06:30:59 - mmengine - INFO - Epoch(train) [9][1740/3757] lr: 1.0000e-02 eta: 2 days, 15:35:24 time: 0.6768 data_time: 0.0221 memory: 17350 grad_norm: 5.4853 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1223 loss: 2.1223 2022/07/22 06:31:13 - mmengine - INFO - Epoch(train) [9][1760/3757] lr: 1.0000e-02 eta: 2 days, 15:35:21 time: 0.7135 data_time: 0.0266 memory: 17350 grad_norm: 5.4377 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0174 loss: 2.0174 2022/07/22 06:31:25 - mmengine - INFO - Epoch(train) [9][1780/3757] lr: 1.0000e-02 eta: 2 days, 15:34:59 time: 0.6266 data_time: 0.0219 memory: 17350 grad_norm: 5.5536 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1650 loss: 2.1650 2022/07/22 06:31:40 - mmengine - INFO - Epoch(train) [9][1800/3757] lr: 1.0000e-02 eta: 2 days, 15:34:54 time: 0.7015 data_time: 0.0218 memory: 17350 grad_norm: 5.3459 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2021 loss: 2.2021 2022/07/22 06:31:53 - mmengine - INFO - Epoch(train) [9][1820/3757] lr: 1.0000e-02 eta: 2 days, 15:34:39 time: 0.6593 data_time: 0.0222 memory: 17350 grad_norm: 5.5778 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2668 loss: 2.2668 2022/07/22 06:32:05 - mmengine - INFO - Epoch(train) [9][1840/3757] lr: 1.0000e-02 eta: 2 days, 15:34:20 time: 0.6364 data_time: 0.0231 memory: 17350 grad_norm: 5.5665 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4944 loss: 2.4944 2022/07/22 06:32:19 - mmengine - INFO - Epoch(train) [9][1860/3757] lr: 1.0000e-02 eta: 2 days, 15:34:04 time: 0.6544 data_time: 0.0230 memory: 17350 grad_norm: 5.5441 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4551 loss: 2.4551 2022/07/22 06:32:33 - mmengine - INFO - Epoch(train) [9][1880/3757] lr: 1.0000e-02 eta: 2 days, 15:34:04 time: 0.7273 data_time: 0.0212 memory: 17350 grad_norm: 5.4692 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2097 loss: 2.2097 2022/07/22 06:32:46 - mmengine - INFO - Epoch(train) [9][1900/3757] lr: 1.0000e-02 eta: 2 days, 15:33:44 time: 0.6341 data_time: 0.0226 memory: 17350 grad_norm: 5.2509 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0995 loss: 2.0995 2022/07/22 06:33:00 - mmengine - INFO - Epoch(train) [9][1920/3757] lr: 1.0000e-02 eta: 2 days, 15:33:36 time: 0.6916 data_time: 0.0209 memory: 17350 grad_norm: 5.5577 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3670 loss: 2.3670 2022/07/22 06:33:12 - mmengine - INFO - Epoch(train) [9][1940/3757] lr: 1.0000e-02 eta: 2 days, 15:33:14 time: 0.6247 data_time: 0.0253 memory: 17350 grad_norm: 5.3408 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3428 loss: 2.3428 2022/07/22 06:33:16 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 06:33:26 - mmengine - INFO - Epoch(train) [9][1960/3757] lr: 1.0000e-02 eta: 2 days, 15:33:11 time: 0.7159 data_time: 0.0237 memory: 17350 grad_norm: 5.3165 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1296 loss: 2.1296 2022/07/22 06:33:38 - mmengine - INFO - Epoch(train) [9][1980/3757] lr: 1.0000e-02 eta: 2 days, 15:32:42 time: 0.5896 data_time: 0.0222 memory: 17350 grad_norm: 5.4126 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3165 loss: 2.3165 2022/07/22 06:33:52 - mmengine - INFO - Epoch(train) [9][2000/3757] lr: 1.0000e-02 eta: 2 days, 15:32:39 time: 0.7149 data_time: 0.0209 memory: 17350 grad_norm: 5.3413 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4121 loss: 2.4121 2022/07/22 06:34:05 - mmengine - INFO - Epoch(train) [9][2020/3757] lr: 1.0000e-02 eta: 2 days, 15:32:17 time: 0.6279 data_time: 0.0229 memory: 17350 grad_norm: 5.4663 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2707 loss: 2.2707 2022/07/22 06:34:19 - mmengine - INFO - Epoch(train) [9][2040/3757] lr: 1.0000e-02 eta: 2 days, 15:32:11 time: 0.6998 data_time: 0.0224 memory: 17350 grad_norm: 5.4608 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5535 loss: 2.5535 2022/07/22 06:34:31 - mmengine - INFO - Epoch(train) [9][2060/3757] lr: 1.0000e-02 eta: 2 days, 15:31:44 time: 0.5978 data_time: 0.0262 memory: 17350 grad_norm: 5.4149 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3476 loss: 2.3476 2022/07/22 06:34:45 - mmengine - INFO - Epoch(train) [9][2080/3757] lr: 1.0000e-02 eta: 2 days, 15:31:41 time: 0.7176 data_time: 0.0227 memory: 17350 grad_norm: 5.4154 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2764 loss: 2.2764 2022/07/22 06:34:58 - mmengine - INFO - Epoch(train) [9][2100/3757] lr: 1.0000e-02 eta: 2 days, 15:31:20 time: 0.6289 data_time: 0.0219 memory: 17350 grad_norm: 5.3501 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3432 loss: 2.3432 2022/07/22 06:35:13 - mmengine - INFO - Epoch(train) [9][2120/3757] lr: 1.0000e-02 eta: 2 days, 15:31:22 time: 0.7380 data_time: 0.0231 memory: 17350 grad_norm: 5.4601 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3881 loss: 2.3881 2022/07/22 06:35:25 - mmengine - INFO - Epoch(train) [9][2140/3757] lr: 1.0000e-02 eta: 2 days, 15:31:01 time: 0.6275 data_time: 0.0652 memory: 17350 grad_norm: 5.4524 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1406 loss: 2.1406 2022/07/22 06:35:38 - mmengine - INFO - Epoch(train) [9][2160/3757] lr: 1.0000e-02 eta: 2 days, 15:30:46 time: 0.6580 data_time: 0.1346 memory: 17350 grad_norm: 5.5908 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3195 loss: 2.3195 2022/07/22 06:35:52 - mmengine - INFO - Epoch(train) [9][2180/3757] lr: 1.0000e-02 eta: 2 days, 15:30:32 time: 0.6646 data_time: 0.1064 memory: 17350 grad_norm: 5.4552 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5965 loss: 2.5965 2022/07/22 06:36:07 - mmengine - INFO - Epoch(train) [9][2200/3757] lr: 1.0000e-02 eta: 2 days, 15:30:42 time: 0.7748 data_time: 0.0221 memory: 17350 grad_norm: 5.4221 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3892 loss: 2.3892 2022/07/22 06:36:19 - mmengine - INFO - Epoch(train) [9][2220/3757] lr: 1.0000e-02 eta: 2 days, 15:30:12 time: 0.5830 data_time: 0.0242 memory: 17350 grad_norm: 5.2981 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2109 loss: 2.2109 2022/07/22 06:36:33 - mmengine - INFO - Epoch(train) [9][2240/3757] lr: 1.0000e-02 eta: 2 days, 15:30:10 time: 0.7207 data_time: 0.0226 memory: 17350 grad_norm: 5.5068 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4654 loss: 2.4654 2022/07/22 06:36:45 - mmengine - INFO - Epoch(train) [9][2260/3757] lr: 1.0000e-02 eta: 2 days, 15:29:42 time: 0.5977 data_time: 0.0236 memory: 17350 grad_norm: 5.1809 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2007 loss: 2.2007 2022/07/22 06:37:00 - mmengine - INFO - Epoch(train) [9][2280/3757] lr: 1.0000e-02 eta: 2 days, 15:29:42 time: 0.7280 data_time: 0.0298 memory: 17350 grad_norm: 5.4108 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4353 loss: 2.4353 2022/07/22 06:37:12 - mmengine - INFO - Epoch(train) [9][2300/3757] lr: 1.0000e-02 eta: 2 days, 15:29:16 time: 0.6055 data_time: 0.0253 memory: 17350 grad_norm: 5.3760 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4313 loss: 2.4313 2022/07/22 06:37:26 - mmengine - INFO - Epoch(train) [9][2320/3757] lr: 1.0000e-02 eta: 2 days, 15:29:10 time: 0.7001 data_time: 0.0222 memory: 17350 grad_norm: 5.2916 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1815 loss: 2.1815 2022/07/22 06:37:38 - mmengine - INFO - Epoch(train) [9][2340/3757] lr: 1.0000e-02 eta: 2 days, 15:28:46 time: 0.6163 data_time: 0.0296 memory: 17350 grad_norm: 5.4725 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1476 loss: 2.1476 2022/07/22 06:37:53 - mmengine - INFO - Epoch(train) [9][2360/3757] lr: 1.0000e-02 eta: 2 days, 15:28:49 time: 0.7408 data_time: 0.0198 memory: 17350 grad_norm: 5.3812 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3156 loss: 2.3156 2022/07/22 06:38:05 - mmengine - INFO - Epoch(train) [9][2380/3757] lr: 1.0000e-02 eta: 2 days, 15:28:18 time: 0.5822 data_time: 0.0294 memory: 17350 grad_norm: 5.6452 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3944 loss: 2.3944 2022/07/22 06:38:19 - mmengine - INFO - Epoch(train) [9][2400/3757] lr: 1.0000e-02 eta: 2 days, 15:28:11 time: 0.6985 data_time: 0.0660 memory: 17350 grad_norm: 5.4294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4429 loss: 2.4429 2022/07/22 06:38:32 - mmengine - INFO - Epoch(train) [9][2420/3757] lr: 1.0000e-02 eta: 2 days, 15:27:59 time: 0.6701 data_time: 0.2070 memory: 17350 grad_norm: 5.5624 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1785 loss: 2.1785 2022/07/22 06:38:45 - mmengine - INFO - Epoch(train) [9][2440/3757] lr: 1.0000e-02 eta: 2 days, 15:27:42 time: 0.6475 data_time: 0.1757 memory: 17350 grad_norm: 5.4550 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1466 loss: 2.1466 2022/07/22 06:38:59 - mmengine - INFO - Epoch(train) [9][2460/3757] lr: 1.0000e-02 eta: 2 days, 15:27:34 time: 0.6912 data_time: 0.2746 memory: 17350 grad_norm: 5.4712 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1681 loss: 2.1681 2022/07/22 06:39:11 - mmengine - INFO - Epoch(train) [9][2480/3757] lr: 1.0000e-02 eta: 2 days, 15:27:11 time: 0.6184 data_time: 0.1916 memory: 17350 grad_norm: 5.3665 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1618 loss: 2.1618 2022/07/22 06:39:25 - mmengine - INFO - Epoch(train) [9][2500/3757] lr: 1.0000e-02 eta: 2 days, 15:27:01 time: 0.6820 data_time: 0.1794 memory: 17350 grad_norm: 5.4687 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1818 loss: 2.1818 2022/07/22 06:39:38 - mmengine - INFO - Epoch(train) [9][2520/3757] lr: 1.0000e-02 eta: 2 days, 15:26:48 time: 0.6677 data_time: 0.1473 memory: 17350 grad_norm: 5.4447 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1715 loss: 2.1715 2022/07/22 06:39:52 - mmengine - INFO - Epoch(train) [9][2540/3757] lr: 1.0000e-02 eta: 2 days, 15:26:36 time: 0.6716 data_time: 0.1783 memory: 17350 grad_norm: 5.2459 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1700 loss: 2.1700 2022/07/22 06:40:05 - mmengine - INFO - Epoch(train) [9][2560/3757] lr: 1.0000e-02 eta: 2 days, 15:26:27 time: 0.6873 data_time: 0.1059 memory: 17350 grad_norm: 5.4510 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4760 loss: 2.4760 2022/07/22 06:40:19 - mmengine - INFO - Epoch(train) [9][2580/3757] lr: 1.0000e-02 eta: 2 days, 15:26:14 time: 0.6681 data_time: 0.0796 memory: 17350 grad_norm: 5.3086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3339 loss: 2.3339 2022/07/22 06:40:32 - mmengine - INFO - Epoch(train) [9][2600/3757] lr: 1.0000e-02 eta: 2 days, 15:25:58 time: 0.6507 data_time: 0.0355 memory: 17350 grad_norm: 5.2520 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2622 loss: 2.2622 2022/07/22 06:40:46 - mmengine - INFO - Epoch(train) [9][2620/3757] lr: 1.0000e-02 eta: 2 days, 15:25:50 time: 0.6921 data_time: 0.0227 memory: 17350 grad_norm: 5.5409 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1550 loss: 2.1550 2022/07/22 06:40:58 - mmengine - INFO - Epoch(train) [9][2640/3757] lr: 1.0000e-02 eta: 2 days, 15:25:29 time: 0.6294 data_time: 0.0288 memory: 17350 grad_norm: 5.3360 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2487 loss: 2.2487 2022/07/22 06:41:13 - mmengine - INFO - Epoch(train) [9][2660/3757] lr: 1.0000e-02 eta: 2 days, 15:25:31 time: 0.7382 data_time: 0.0496 memory: 17350 grad_norm: 5.3241 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2254 loss: 2.2254 2022/07/22 06:41:25 - mmengine - INFO - Epoch(train) [9][2680/3757] lr: 1.0000e-02 eta: 2 days, 15:24:59 time: 0.5759 data_time: 0.0642 memory: 17350 grad_norm: 5.4580 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1699 loss: 2.1699 2022/07/22 06:41:39 - mmengine - INFO - Epoch(train) [9][2700/3757] lr: 1.0000e-02 eta: 2 days, 15:24:57 time: 0.7204 data_time: 0.1419 memory: 17350 grad_norm: 5.3939 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2560 loss: 2.2560 2022/07/22 06:41:52 - mmengine - INFO - Epoch(train) [9][2720/3757] lr: 1.0000e-02 eta: 2 days, 15:24:40 time: 0.6460 data_time: 0.0596 memory: 17350 grad_norm: 5.3807 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3752 loss: 2.3752 2022/07/22 06:42:06 - mmengine - INFO - Epoch(train) [9][2740/3757] lr: 1.0000e-02 eta: 2 days, 15:24:34 time: 0.7041 data_time: 0.1269 memory: 17350 grad_norm: 5.4802 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1782 loss: 2.1782 2022/07/22 06:42:19 - mmengine - INFO - Epoch(train) [9][2760/3757] lr: 1.0000e-02 eta: 2 days, 15:24:14 time: 0.6330 data_time: 0.0881 memory: 17350 grad_norm: 5.3952 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3600 loss: 2.3600 2022/07/22 06:42:32 - mmengine - INFO - Epoch(train) [9][2780/3757] lr: 1.0000e-02 eta: 2 days, 15:24:06 time: 0.6897 data_time: 0.1099 memory: 17350 grad_norm: 5.4221 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3406 loss: 2.3406 2022/07/22 06:42:45 - mmengine - INFO - Epoch(train) [9][2800/3757] lr: 1.0000e-02 eta: 2 days, 15:23:49 time: 0.6505 data_time: 0.0234 memory: 17350 grad_norm: 5.3622 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4116 loss: 2.4116 2022/07/22 06:42:59 - mmengine - INFO - Epoch(train) [9][2820/3757] lr: 1.0000e-02 eta: 2 days, 15:23:44 time: 0.7025 data_time: 0.1682 memory: 17350 grad_norm: 5.3933 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2537 loss: 2.2537 2022/07/22 06:43:13 - mmengine - INFO - Epoch(train) [9][2840/3757] lr: 1.0000e-02 eta: 2 days, 15:23:28 time: 0.6540 data_time: 0.1613 memory: 17350 grad_norm: 5.3929 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1800 loss: 2.1800 2022/07/22 06:43:26 - mmengine - INFO - Epoch(train) [9][2860/3757] lr: 1.0000e-02 eta: 2 days, 15:23:17 time: 0.6785 data_time: 0.1057 memory: 17350 grad_norm: 5.3730 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2998 loss: 2.2998 2022/07/22 06:43:39 - mmengine - INFO - Epoch(train) [9][2880/3757] lr: 1.0000e-02 eta: 2 days, 15:23:04 time: 0.6667 data_time: 0.1801 memory: 17350 grad_norm: 5.3986 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1909 loss: 2.1909 2022/07/22 06:43:53 - mmengine - INFO - Epoch(train) [9][2900/3757] lr: 1.0000e-02 eta: 2 days, 15:22:55 time: 0.6873 data_time: 0.1905 memory: 17350 grad_norm: 5.5223 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4637 loss: 2.4637 2022/07/22 06:44:06 - mmengine - INFO - Epoch(train) [9][2920/3757] lr: 1.0000e-02 eta: 2 days, 15:22:34 time: 0.6248 data_time: 0.2154 memory: 17350 grad_norm: 5.3580 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2223 loss: 2.2223 2022/07/22 06:44:19 - mmengine - INFO - Epoch(train) [9][2940/3757] lr: 1.0000e-02 eta: 2 days, 15:22:18 time: 0.6562 data_time: 0.2586 memory: 17350 grad_norm: 5.5147 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3610 loss: 2.3610 2022/07/22 06:44:21 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 06:44:32 - mmengine - INFO - Epoch(train) [9][2960/3757] lr: 1.0000e-02 eta: 2 days, 15:22:02 time: 0.6501 data_time: 0.2806 memory: 17350 grad_norm: 5.5115 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1735 loss: 2.1735 2022/07/22 06:44:45 - mmengine - INFO - Epoch(train) [9][2980/3757] lr: 1.0000e-02 eta: 2 days, 15:21:47 time: 0.6575 data_time: 0.3039 memory: 17350 grad_norm: 5.5368 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4190 loss: 2.4190 2022/07/22 06:44:58 - mmengine - INFO - Epoch(train) [9][3000/3757] lr: 1.0000e-02 eta: 2 days, 15:21:33 time: 0.6636 data_time: 0.3302 memory: 17350 grad_norm: 5.4174 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2835 loss: 2.2835 2022/07/22 06:45:14 - mmengine - INFO - Epoch(train) [9][3020/3757] lr: 1.0000e-02 eta: 2 days, 15:21:41 time: 0.7688 data_time: 0.4405 memory: 17350 grad_norm: 5.4780 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2989 loss: 2.2989 2022/07/22 06:45:25 - mmengine - INFO - Epoch(train) [9][3040/3757] lr: 1.0000e-02 eta: 2 days, 15:21:12 time: 0.5908 data_time: 0.2608 memory: 17350 grad_norm: 5.3635 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2413 loss: 2.2413 2022/07/22 06:45:40 - mmengine - INFO - Epoch(train) [9][3060/3757] lr: 1.0000e-02 eta: 2 days, 15:21:12 time: 0.7306 data_time: 0.4009 memory: 17350 grad_norm: 5.3086 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2693 loss: 2.2693 2022/07/22 06:45:52 - mmengine - INFO - Epoch(train) [9][3080/3757] lr: 1.0000e-02 eta: 2 days, 15:20:42 time: 0.5839 data_time: 0.2527 memory: 17350 grad_norm: 5.3614 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3483 loss: 2.3483 2022/07/22 06:46:06 - mmengine - INFO - Epoch(train) [9][3100/3757] lr: 1.0000e-02 eta: 2 days, 15:20:38 time: 0.7105 data_time: 0.3824 memory: 17350 grad_norm: 5.3585 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3871 loss: 2.3871 2022/07/22 06:46:18 - mmengine - INFO - Epoch(train) [9][3120/3757] lr: 1.0000e-02 eta: 2 days, 15:20:16 time: 0.6255 data_time: 0.2977 memory: 17350 grad_norm: 5.3705 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1829 loss: 2.1829 2022/07/22 06:46:34 - mmengine - INFO - Epoch(train) [9][3140/3757] lr: 1.0000e-02 eta: 2 days, 15:20:30 time: 0.7979 data_time: 0.4607 memory: 17350 grad_norm: 5.2711 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2497 loss: 2.2497 2022/07/22 06:46:46 - mmengine - INFO - Epoch(train) [9][3160/3757] lr: 1.0000e-02 eta: 2 days, 15:19:57 time: 0.5673 data_time: 0.2380 memory: 17350 grad_norm: 5.2417 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1707 loss: 2.1707 2022/07/22 06:47:00 - mmengine - INFO - Epoch(train) [9][3180/3757] lr: 1.0000e-02 eta: 2 days, 15:19:55 time: 0.7217 data_time: 0.3913 memory: 17350 grad_norm: 5.2756 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.5684 loss: 2.5684 2022/07/22 06:47:12 - mmengine - INFO - Epoch(train) [9][3200/3757] lr: 1.0000e-02 eta: 2 days, 15:19:28 time: 0.5978 data_time: 0.2660 memory: 17350 grad_norm: 5.1475 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2481 loss: 2.2481 2022/07/22 06:47:27 - mmengine - INFO - Epoch(train) [9][3220/3757] lr: 1.0000e-02 eta: 2 days, 15:19:29 time: 0.7360 data_time: 0.4057 memory: 17350 grad_norm: 5.3197 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4712 loss: 2.4712 2022/07/22 06:47:39 - mmengine - INFO - Epoch(train) [9][3240/3757] lr: 1.0000e-02 eta: 2 days, 15:19:02 time: 0.5980 data_time: 0.2618 memory: 17350 grad_norm: 5.2507 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3098 loss: 2.3098 2022/07/22 06:47:53 - mmengine - INFO - Epoch(train) [9][3260/3757] lr: 1.0000e-02 eta: 2 days, 15:18:54 time: 0.6960 data_time: 0.3627 memory: 17350 grad_norm: 5.3010 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2005 loss: 2.2005 2022/07/22 06:48:05 - mmengine - INFO - Epoch(train) [9][3280/3757] lr: 1.0000e-02 eta: 2 days, 15:18:28 time: 0.6003 data_time: 0.2652 memory: 17350 grad_norm: 5.3854 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3335 loss: 2.3335 2022/07/22 06:48:19 - mmengine - INFO - Epoch(train) [9][3300/3757] lr: 1.0000e-02 eta: 2 days, 15:18:25 time: 0.7177 data_time: 0.3867 memory: 17350 grad_norm: 5.4034 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2762 loss: 2.2762 2022/07/22 06:48:31 - mmengine - INFO - Epoch(train) [9][3320/3757] lr: 1.0000e-02 eta: 2 days, 15:17:57 time: 0.5960 data_time: 0.2633 memory: 17350 grad_norm: 5.5043 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7149 loss: 2.7149 2022/07/22 06:48:46 - mmengine - INFO - Epoch(train) [9][3340/3757] lr: 1.0000e-02 eta: 2 days, 15:17:57 time: 0.7289 data_time: 0.3984 memory: 17350 grad_norm: 5.3823 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3380 loss: 2.3380 2022/07/22 06:48:58 - mmengine - INFO - Epoch(train) [9][3360/3757] lr: 1.0000e-02 eta: 2 days, 15:17:30 time: 0.5976 data_time: 0.2682 memory: 17350 grad_norm: 5.4177 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1297 loss: 2.1297 2022/07/22 06:49:12 - mmengine - INFO - Epoch(train) [9][3380/3757] lr: 1.0000e-02 eta: 2 days, 15:17:26 time: 0.7119 data_time: 0.3755 memory: 17350 grad_norm: 5.4736 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6247 loss: 2.6247 2022/07/22 06:49:24 - mmengine - INFO - Epoch(train) [9][3400/3757] lr: 1.0000e-02 eta: 2 days, 15:16:57 time: 0.5902 data_time: 0.2432 memory: 17350 grad_norm: 5.3644 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2259 loss: 2.2259 2022/07/22 06:49:39 - mmengine - INFO - Epoch(train) [9][3420/3757] lr: 1.0000e-02 eta: 2 days, 15:17:02 time: 0.7566 data_time: 0.4269 memory: 17350 grad_norm: 5.5867 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0964 loss: 2.0964 2022/07/22 06:49:51 - mmengine - INFO - Epoch(train) [9][3440/3757] lr: 1.0000e-02 eta: 2 days, 15:16:34 time: 0.5910 data_time: 0.2415 memory: 17350 grad_norm: 5.4651 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5832 loss: 2.5832 2022/07/22 06:50:05 - mmengine - INFO - Epoch(train) [9][3460/3757] lr: 1.0000e-02 eta: 2 days, 15:16:35 time: 0.7371 data_time: 0.3925 memory: 17350 grad_norm: 5.1211 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2197 loss: 2.2197 2022/07/22 06:50:19 - mmengine - INFO - Epoch(train) [9][3480/3757] lr: 1.0000e-02 eta: 2 days, 15:16:20 time: 0.6583 data_time: 0.2272 memory: 17350 grad_norm: 5.3111 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3077 loss: 2.3077 2022/07/22 06:50:33 - mmengine - INFO - Epoch(train) [9][3500/3757] lr: 1.0000e-02 eta: 2 days, 15:16:15 time: 0.7045 data_time: 0.3046 memory: 17350 grad_norm: 5.3351 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3729 loss: 2.3729 2022/07/22 06:50:45 - mmengine - INFO - Epoch(train) [9][3520/3757] lr: 1.0000e-02 eta: 2 days, 15:15:49 time: 0.6046 data_time: 0.2710 memory: 17350 grad_norm: 5.3469 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2211 loss: 2.2211 2022/07/22 06:51:00 - mmengine - INFO - Epoch(train) [9][3540/3757] lr: 1.0000e-02 eta: 2 days, 15:15:51 time: 0.7392 data_time: 0.3923 memory: 17350 grad_norm: 5.3065 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3742 loss: 2.3742 2022/07/22 06:51:12 - mmengine - INFO - Epoch(train) [9][3560/3757] lr: 1.0000e-02 eta: 2 days, 15:15:25 time: 0.6048 data_time: 0.1958 memory: 17350 grad_norm: 5.3639 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4264 loss: 2.4264 2022/07/22 06:51:26 - mmengine - INFO - Epoch(train) [9][3580/3757] lr: 1.0000e-02 eta: 2 days, 15:15:26 time: 0.7352 data_time: 0.1949 memory: 17350 grad_norm: 5.4055 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2518 loss: 2.2518 2022/07/22 06:51:38 - mmengine - INFO - Epoch(train) [9][3600/3757] lr: 1.0000e-02 eta: 2 days, 15:15:01 time: 0.6076 data_time: 0.1624 memory: 17350 grad_norm: 5.4017 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5252 loss: 2.5252 2022/07/22 06:51:53 - mmengine - INFO - Epoch(train) [9][3620/3757] lr: 1.0000e-02 eta: 2 days, 15:15:04 time: 0.7468 data_time: 0.3965 memory: 17350 grad_norm: 5.3176 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4551 loss: 2.4551 2022/07/22 06:52:05 - mmengine - INFO - Epoch(train) [9][3640/3757] lr: 1.0000e-02 eta: 2 days, 15:14:33 time: 0.5778 data_time: 0.2488 memory: 17350 grad_norm: 5.2830 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4159 loss: 2.4159 2022/07/22 06:52:20 - mmengine - INFO - Epoch(train) [9][3660/3757] lr: 1.0000e-02 eta: 2 days, 15:14:37 time: 0.7512 data_time: 0.4160 memory: 17350 grad_norm: 5.4239 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2018 loss: 2.2018 2022/07/22 06:52:32 - mmengine - INFO - Epoch(train) [9][3680/3757] lr: 1.0000e-02 eta: 2 days, 15:14:08 time: 0.5904 data_time: 0.2600 memory: 17350 grad_norm: 5.6043 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1391 loss: 2.1391 2022/07/22 06:52:46 - mmengine - INFO - Epoch(train) [9][3700/3757] lr: 1.0000e-02 eta: 2 days, 15:14:03 time: 0.7050 data_time: 0.3731 memory: 17350 grad_norm: 5.3890 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5123 loss: 2.5123 2022/07/22 06:52:58 - mmengine - INFO - Epoch(train) [9][3720/3757] lr: 1.0000e-02 eta: 2 days, 15:13:35 time: 0.5943 data_time: 0.2477 memory: 17350 grad_norm: 5.2837 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3994 loss: 2.3994 2022/07/22 06:53:13 - mmengine - INFO - Epoch(train) [9][3740/3757] lr: 1.0000e-02 eta: 2 days, 15:13:45 time: 0.7797 data_time: 0.3166 memory: 17350 grad_norm: 5.5054 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2611 loss: 2.2611 2022/07/22 06:53:20 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 06:53:20 - mmengine - INFO - Epoch(train) [9][3757/3757] lr: 1.0000e-02 eta: 2 days, 15:13:45 time: 0.4469 data_time: 0.0516 memory: 17350 grad_norm: 5.2775 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.2325 loss: 2.2325 2022/07/22 06:53:37 - mmengine - INFO - Epoch(val) [9][20/310] eta: 0:04:01 time: 0.8337 data_time: 0.7200 memory: 3406 2022/07/22 06:53:48 - mmengine - INFO - Epoch(val) [9][40/310] eta: 0:02:27 time: 0.5465 data_time: 0.4317 memory: 3406 2022/07/22 06:54:03 - mmengine - INFO - Epoch(val) [9][60/310] eta: 0:03:11 time: 0.7641 data_time: 0.6507 memory: 3406 2022/07/22 06:54:14 - mmengine - INFO - Epoch(val) [9][80/310] eta: 0:02:02 time: 0.5345 data_time: 0.4218 memory: 3406 2022/07/22 06:54:29 - mmengine - INFO - Epoch(val) [9][100/310] eta: 0:02:45 time: 0.7881 data_time: 0.6708 memory: 3406 2022/07/22 06:54:41 - mmengine - INFO - Epoch(val) [9][120/310] eta: 0:01:46 time: 0.5592 data_time: 0.4466 memory: 3406 2022/07/22 06:54:56 - mmengine - INFO - Epoch(val) [9][140/310] eta: 0:02:06 time: 0.7445 data_time: 0.6313 memory: 3406 2022/07/22 06:55:08 - mmengine - INFO - Epoch(val) [9][160/310] eta: 0:01:30 time: 0.6024 data_time: 0.4898 memory: 3406 2022/07/22 06:55:23 - mmengine - INFO - Epoch(val) [9][180/310] eta: 0:01:37 time: 0.7512 data_time: 0.6382 memory: 3406 2022/07/22 06:55:33 - mmengine - INFO - Epoch(val) [9][200/310] eta: 0:00:59 time: 0.5408 data_time: 0.4282 memory: 3406 2022/07/22 06:55:49 - mmengine - INFO - Epoch(val) [9][220/310] eta: 0:01:10 time: 0.7841 data_time: 0.6720 memory: 3406 2022/07/22 06:56:00 - mmengine - INFO - Epoch(val) [9][240/310] eta: 0:00:36 time: 0.5186 data_time: 0.4069 memory: 3406 2022/07/22 06:56:16 - mmengine - INFO - Epoch(val) [9][260/310] eta: 0:00:40 time: 0.8009 data_time: 0.6883 memory: 3406 2022/07/22 06:56:27 - mmengine - INFO - Epoch(val) [9][280/310] eta: 0:00:16 time: 0.5610 data_time: 0.4491 memory: 3406 2022/07/22 06:56:42 - mmengine - INFO - Epoch(val) [9][300/310] eta: 0:00:07 time: 0.7506 data_time: 0.6385 memory: 3406 2022/07/22 06:56:47 - mmengine - INFO - Epoch(val) [9][310/310] acc/top1: 0.5163 acc/top5: 0.7762 acc/mean1: 0.5164 2022/07/22 06:56:47 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_9.pth is removed 2022/07/22 06:56:51 - mmengine - INFO - The best checkpoint with 0.5163 acc/top1 at 10 epoch is saved to best_acc/top1_epoch_10.pth. 2022/07/22 06:57:08 - mmengine - INFO - Epoch(train) [10][20/3757] lr: 1.0000e-02 eta: 2 days, 15:12:04 time: 0.8523 data_time: 0.5256 memory: 17350 grad_norm: 5.3548 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4281 loss: 2.4281 2022/07/22 06:57:19 - mmengine - INFO - Epoch(train) [10][40/3757] lr: 1.0000e-02 eta: 2 days, 15:11:34 time: 0.5858 data_time: 0.2595 memory: 17350 grad_norm: 5.5638 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.2169 loss: 2.2169 2022/07/22 06:57:34 - mmengine - INFO - Epoch(train) [10][60/3757] lr: 1.0000e-02 eta: 2 days, 15:11:38 time: 0.7505 data_time: 0.4259 memory: 17350 grad_norm: 5.4847 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3211 loss: 2.3211 2022/07/22 06:57:46 - mmengine - INFO - Epoch(train) [10][80/3757] lr: 1.0000e-02 eta: 2 days, 15:11:12 time: 0.6005 data_time: 0.2762 memory: 17350 grad_norm: 5.5355 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2921 loss: 2.2921 2022/07/22 06:58:01 - mmengine - INFO - Epoch(train) [10][100/3757] lr: 1.0000e-02 eta: 2 days, 15:11:06 time: 0.7022 data_time: 0.3806 memory: 17350 grad_norm: 5.3736 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0501 loss: 2.0501 2022/07/22 06:58:13 - mmengine - INFO - Epoch(train) [10][120/3757] lr: 1.0000e-02 eta: 2 days, 15:10:47 time: 0.6371 data_time: 0.3125 memory: 17350 grad_norm: 5.1907 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0942 loss: 2.0942 2022/07/22 06:58:28 - mmengine - INFO - Epoch(train) [10][140/3757] lr: 1.0000e-02 eta: 2 days, 15:10:46 time: 0.7312 data_time: 0.4049 memory: 17350 grad_norm: 5.4990 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3537 loss: 2.3537 2022/07/22 06:58:40 - mmengine - INFO - Epoch(train) [10][160/3757] lr: 1.0000e-02 eta: 2 days, 15:10:17 time: 0.5862 data_time: 0.2628 memory: 17350 grad_norm: 5.4694 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0498 loss: 2.0498 2022/07/22 06:58:54 - mmengine - INFO - Epoch(train) [10][180/3757] lr: 1.0000e-02 eta: 2 days, 15:10:19 time: 0.7416 data_time: 0.4124 memory: 17350 grad_norm: 5.4268 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2641 loss: 2.2641 2022/07/22 06:58:59 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 06:59:06 - mmengine - INFO - Epoch(train) [10][200/3757] lr: 1.0000e-02 eta: 2 days, 15:09:51 time: 0.5915 data_time: 0.2643 memory: 17350 grad_norm: 5.3460 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9978 loss: 1.9978 2022/07/22 06:59:21 - mmengine - INFO - Epoch(train) [10][220/3757] lr: 1.0000e-02 eta: 2 days, 15:09:50 time: 0.7260 data_time: 0.3972 memory: 17350 grad_norm: 5.5324 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5633 loss: 2.5633 2022/07/22 06:59:32 - mmengine - INFO - Epoch(train) [10][240/3757] lr: 1.0000e-02 eta: 2 days, 15:09:16 time: 0.5638 data_time: 0.2343 memory: 17350 grad_norm: 5.5158 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2907 loss: 2.2907 2022/07/22 06:59:46 - mmengine - INFO - Epoch(train) [10][260/3757] lr: 1.0000e-02 eta: 2 days, 15:09:12 time: 0.7128 data_time: 0.3827 memory: 17350 grad_norm: 5.4209 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2628 loss: 2.2628 2022/07/22 06:59:59 - mmengine - INFO - Epoch(train) [10][280/3757] lr: 1.0000e-02 eta: 2 days, 15:08:56 time: 0.6480 data_time: 0.3332 memory: 17350 grad_norm: 5.4832 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1337 loss: 2.1337 2022/07/22 07:00:14 - mmengine - INFO - Epoch(train) [10][300/3757] lr: 1.0000e-02 eta: 2 days, 15:08:59 time: 0.7477 data_time: 0.4202 memory: 17350 grad_norm: 5.4808 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9465 loss: 1.9465 2022/07/22 07:00:27 - mmengine - INFO - Epoch(train) [10][320/3757] lr: 1.0000e-02 eta: 2 days, 15:08:36 time: 0.6170 data_time: 0.2991 memory: 17350 grad_norm: 5.4869 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3691 loss: 2.3691 2022/07/22 07:00:40 - mmengine - INFO - Epoch(train) [10][340/3757] lr: 1.0000e-02 eta: 2 days, 15:08:20 time: 0.6542 data_time: 0.3388 memory: 17350 grad_norm: 5.1457 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1017 loss: 2.1017 2022/07/22 07:00:54 - mmengine - INFO - Epoch(train) [10][360/3757] lr: 1.0000e-02 eta: 2 days, 15:08:13 time: 0.6945 data_time: 0.3560 memory: 17350 grad_norm: 5.3305 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9635 loss: 1.9635 2022/07/22 07:01:06 - mmengine - INFO - Epoch(train) [10][380/3757] lr: 1.0000e-02 eta: 2 days, 15:07:53 time: 0.6357 data_time: 0.2838 memory: 17350 grad_norm: 5.3659 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3298 loss: 2.3298 2022/07/22 07:01:20 - mmengine - INFO - Epoch(train) [10][400/3757] lr: 1.0000e-02 eta: 2 days, 15:07:44 time: 0.6867 data_time: 0.2775 memory: 17350 grad_norm: 5.5462 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2129 loss: 2.2129 2022/07/22 07:01:33 - mmengine - INFO - Epoch(train) [10][420/3757] lr: 1.0000e-02 eta: 2 days, 15:07:25 time: 0.6359 data_time: 0.2489 memory: 17350 grad_norm: 5.3917 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1318 loss: 2.1318 2022/07/22 07:01:47 - mmengine - INFO - Epoch(train) [10][440/3757] lr: 1.0000e-02 eta: 2 days, 15:07:17 time: 0.6930 data_time: 0.3734 memory: 17350 grad_norm: 5.3638 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0815 loss: 2.0815 2022/07/22 07:02:00 - mmengine - INFO - Epoch(train) [10][460/3757] lr: 1.0000e-02 eta: 2 days, 15:07:01 time: 0.6498 data_time: 0.2815 memory: 17350 grad_norm: 5.4510 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2607 loss: 2.2607 2022/07/22 07:02:13 - mmengine - INFO - Epoch(train) [10][480/3757] lr: 1.0000e-02 eta: 2 days, 15:06:52 time: 0.6875 data_time: 0.3428 memory: 17350 grad_norm: 5.4183 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2693 loss: 2.2693 2022/07/22 07:02:26 - mmengine - INFO - Epoch(train) [10][500/3757] lr: 1.0000e-02 eta: 2 days, 15:06:34 time: 0.6417 data_time: 0.2870 memory: 17350 grad_norm: 5.5868 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1579 loss: 2.1579 2022/07/22 07:02:39 - mmengine - INFO - Epoch(train) [10][520/3757] lr: 1.0000e-02 eta: 2 days, 15:06:18 time: 0.6545 data_time: 0.3133 memory: 17350 grad_norm: 5.5256 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2731 loss: 2.2731 2022/07/22 07:02:53 - mmengine - INFO - Epoch(train) [10][540/3757] lr: 1.0000e-02 eta: 2 days, 15:06:07 time: 0.6745 data_time: 0.3325 memory: 17350 grad_norm: 5.4319 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3007 loss: 2.3007 2022/07/22 07:03:07 - mmengine - INFO - Epoch(train) [10][560/3757] lr: 1.0000e-02 eta: 2 days, 15:06:03 time: 0.7140 data_time: 0.3905 memory: 17350 grad_norm: 5.3466 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0167 loss: 2.0167 2022/07/22 07:03:20 - mmengine - INFO - Epoch(train) [10][580/3757] lr: 1.0000e-02 eta: 2 days, 15:05:45 time: 0.6438 data_time: 0.3102 memory: 17350 grad_norm: 5.5215 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3797 loss: 2.3797 2022/07/22 07:03:33 - mmengine - INFO - Epoch(train) [10][600/3757] lr: 1.0000e-02 eta: 2 days, 15:05:31 time: 0.6585 data_time: 0.3268 memory: 17350 grad_norm: 5.3201 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1589 loss: 2.1589 2022/07/22 07:03:48 - mmengine - INFO - Epoch(train) [10][620/3757] lr: 1.0000e-02 eta: 2 days, 15:05:28 time: 0.7204 data_time: 0.3894 memory: 17350 grad_norm: 5.2988 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5236 loss: 2.5236 2022/07/22 07:03:59 - mmengine - INFO - Epoch(train) [10][640/3757] lr: 1.0000e-02 eta: 2 days, 15:04:57 time: 0.5753 data_time: 0.2472 memory: 17350 grad_norm: 5.5224 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1076 loss: 2.1076 2022/07/22 07:04:13 - mmengine - INFO - Epoch(train) [10][660/3757] lr: 1.0000e-02 eta: 2 days, 15:04:54 time: 0.7170 data_time: 0.2590 memory: 17350 grad_norm: 5.3959 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5606 loss: 2.5606 2022/07/22 07:04:26 - mmengine - INFO - Epoch(train) [10][680/3757] lr: 1.0000e-02 eta: 2 days, 15:04:31 time: 0.6190 data_time: 0.1135 memory: 17350 grad_norm: 5.3333 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3143 loss: 2.3143 2022/07/22 07:04:40 - mmengine - INFO - Epoch(train) [10][700/3757] lr: 1.0000e-02 eta: 2 days, 15:04:31 time: 0.7281 data_time: 0.1958 memory: 17350 grad_norm: 5.4414 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3585 loss: 2.3585 2022/07/22 07:04:53 - mmengine - INFO - Epoch(train) [10][720/3757] lr: 1.0000e-02 eta: 2 days, 15:04:06 time: 0.6097 data_time: 0.1930 memory: 17350 grad_norm: 5.5717 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5336 loss: 2.5336 2022/07/22 07:05:07 - mmengine - INFO - Epoch(train) [10][740/3757] lr: 1.0000e-02 eta: 2 days, 15:04:09 time: 0.7455 data_time: 0.2635 memory: 17350 grad_norm: 5.3601 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1912 loss: 2.1912 2022/07/22 07:05:20 - mmengine - INFO - Epoch(train) [10][760/3757] lr: 1.0000e-02 eta: 2 days, 15:03:46 time: 0.6203 data_time: 0.1771 memory: 17350 grad_norm: 5.4764 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6549 loss: 2.6549 2022/07/22 07:05:34 - mmengine - INFO - Epoch(train) [10][780/3757] lr: 1.0000e-02 eta: 2 days, 15:03:43 time: 0.7131 data_time: 0.2244 memory: 17350 grad_norm: 5.6200 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0146 loss: 2.0146 2022/07/22 07:05:46 - mmengine - INFO - Epoch(train) [10][800/3757] lr: 1.0000e-02 eta: 2 days, 15:03:19 time: 0.6161 data_time: 0.1288 memory: 17350 grad_norm: 5.4517 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0744 loss: 2.0744 2022/07/22 07:06:01 - mmengine - INFO - Epoch(train) [10][820/3757] lr: 1.0000e-02 eta: 2 days, 15:03:14 time: 0.7035 data_time: 0.1328 memory: 17350 grad_norm: 5.4051 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3930 loss: 2.3930 2022/07/22 07:06:13 - mmengine - INFO - Epoch(train) [10][840/3757] lr: 1.0000e-02 eta: 2 days, 15:02:57 time: 0.6481 data_time: 0.1260 memory: 17350 grad_norm: 5.2631 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1487 loss: 2.1487 2022/07/22 07:06:26 - mmengine - INFO - Epoch(train) [10][860/3757] lr: 1.0000e-02 eta: 2 days, 15:02:40 time: 0.6453 data_time: 0.0663 memory: 17350 grad_norm: 5.4631 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3358 loss: 2.3358 2022/07/22 07:06:41 - mmengine - INFO - Epoch(train) [10][880/3757] lr: 1.0000e-02 eta: 2 days, 15:02:37 time: 0.7185 data_time: 0.0220 memory: 17350 grad_norm: 5.4606 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4629 loss: 2.4629 2022/07/22 07:06:54 - mmengine - INFO - Epoch(train) [10][900/3757] lr: 1.0000e-02 eta: 2 days, 15:02:25 time: 0.6730 data_time: 0.0224 memory: 17350 grad_norm: 5.4369 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1920 loss: 2.1920 2022/07/22 07:07:07 - mmengine - INFO - Epoch(train) [10][920/3757] lr: 1.0000e-02 eta: 2 days, 15:02:02 time: 0.6164 data_time: 0.0229 memory: 17350 grad_norm: 5.4805 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4276 loss: 2.4276 2022/07/22 07:07:20 - mmengine - INFO - Epoch(train) [10][940/3757] lr: 1.0000e-02 eta: 2 days, 15:01:52 time: 0.6820 data_time: 0.0427 memory: 17350 grad_norm: 5.3862 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3248 loss: 2.3248 2022/07/22 07:07:33 - mmengine - INFO - Epoch(train) [10][960/3757] lr: 1.0000e-02 eta: 2 days, 15:01:33 time: 0.6379 data_time: 0.0973 memory: 17350 grad_norm: 5.5324 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4653 loss: 2.4653 2022/07/22 07:07:46 - mmengine - INFO - Epoch(train) [10][980/3757] lr: 1.0000e-02 eta: 2 days, 15:01:22 time: 0.6775 data_time: 0.1125 memory: 17350 grad_norm: 5.4337 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0791 loss: 2.0791 2022/07/22 07:07:59 - mmengine - INFO - Epoch(train) [10][1000/3757] lr: 1.0000e-02 eta: 2 days, 15:01:02 time: 0.6292 data_time: 0.1008 memory: 17350 grad_norm: 5.6562 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3081 loss: 2.3081 2022/07/22 07:08:14 - mmengine - INFO - Epoch(train) [10][1020/3757] lr: 1.0000e-02 eta: 2 days, 15:01:02 time: 0.7335 data_time: 0.1524 memory: 17350 grad_norm: 5.5558 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3835 loss: 2.3835 2022/07/22 07:08:26 - mmengine - INFO - Epoch(train) [10][1040/3757] lr: 1.0000e-02 eta: 2 days, 15:00:39 time: 0.6192 data_time: 0.0785 memory: 17350 grad_norm: 5.3430 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2139 loss: 2.2139 2022/07/22 07:08:40 - mmengine - INFO - Epoch(train) [10][1060/3757] lr: 1.0000e-02 eta: 2 days, 15:00:32 time: 0.6962 data_time: 0.0287 memory: 17350 grad_norm: 5.2753 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3502 loss: 2.3502 2022/07/22 07:08:53 - mmengine - INFO - Epoch(train) [10][1080/3757] lr: 1.0000e-02 eta: 2 days, 15:00:13 time: 0.6343 data_time: 0.0227 memory: 17350 grad_norm: 5.2087 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2174 loss: 2.2174 2022/07/22 07:09:06 - mmengine - INFO - Epoch(train) [10][1100/3757] lr: 1.0000e-02 eta: 2 days, 15:00:03 time: 0.6833 data_time: 0.0221 memory: 17350 grad_norm: 5.4351 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1390 loss: 2.1390 2022/07/22 07:09:20 - mmengine - INFO - Epoch(train) [10][1120/3757] lr: 1.0000e-02 eta: 2 days, 14:59:55 time: 0.6941 data_time: 0.0242 memory: 17350 grad_norm: 5.3354 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1273 loss: 2.1273 2022/07/22 07:09:34 - mmengine - INFO - Epoch(train) [10][1140/3757] lr: 1.0000e-02 eta: 2 days, 14:59:41 time: 0.6636 data_time: 0.0214 memory: 17350 grad_norm: 5.2733 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1821 loss: 2.1821 2022/07/22 07:09:46 - mmengine - INFO - Epoch(train) [10][1160/3757] lr: 1.0000e-02 eta: 2 days, 14:59:23 time: 0.6410 data_time: 0.0455 memory: 17350 grad_norm: 5.3334 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2033 loss: 2.2033 2022/07/22 07:10:00 - mmengine - INFO - Epoch(train) [10][1180/3757] lr: 1.0000e-02 eta: 2 days, 14:59:11 time: 0.6686 data_time: 0.0483 memory: 17350 grad_norm: 5.2872 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1441 loss: 2.1441 2022/07/22 07:10:05 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 07:10:13 - mmengine - INFO - Epoch(train) [10][1200/3757] lr: 1.0000e-02 eta: 2 days, 14:59:00 time: 0.6809 data_time: 0.0798 memory: 17350 grad_norm: 5.5167 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4289 loss: 2.4289 2022/07/22 07:10:27 - mmengine - INFO - Epoch(train) [10][1220/3757] lr: 1.0000e-02 eta: 2 days, 14:58:47 time: 0.6659 data_time: 0.0221 memory: 17350 grad_norm: 5.4649 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2886 loss: 2.2886 2022/07/22 07:10:41 - mmengine - INFO - Epoch(train) [10][1240/3757] lr: 1.0000e-02 eta: 2 days, 14:58:40 time: 0.6969 data_time: 0.0272 memory: 17350 grad_norm: 5.3567 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9628 loss: 1.9628 2022/07/22 07:10:53 - mmengine - INFO - Epoch(train) [10][1260/3757] lr: 1.0000e-02 eta: 2 days, 14:58:15 time: 0.6088 data_time: 0.0222 memory: 17350 grad_norm: 5.3187 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1495 loss: 2.1495 2022/07/22 07:11:08 - mmengine - INFO - Epoch(train) [10][1280/3757] lr: 1.0000e-02 eta: 2 days, 14:58:17 time: 0.7412 data_time: 0.0265 memory: 17350 grad_norm: 5.2972 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3657 loss: 2.3657 2022/07/22 07:11:19 - mmengine - INFO - Epoch(train) [10][1300/3757] lr: 1.0000e-02 eta: 2 days, 14:57:47 time: 0.5819 data_time: 0.0233 memory: 17350 grad_norm: 5.3728 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1847 loss: 2.1847 2022/07/22 07:11:34 - mmengine - INFO - Epoch(train) [10][1320/3757] lr: 1.0000e-02 eta: 2 days, 14:57:48 time: 0.7360 data_time: 0.0243 memory: 17350 grad_norm: 5.3169 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9584 loss: 1.9584 2022/07/22 07:11:46 - mmengine - INFO - Epoch(train) [10][1340/3757] lr: 1.0000e-02 eta: 2 days, 14:57:21 time: 0.5953 data_time: 0.0233 memory: 17350 grad_norm: 5.1879 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1406 loss: 2.1406 2022/07/22 07:12:01 - mmengine - INFO - Epoch(train) [10][1360/3757] lr: 1.0000e-02 eta: 2 days, 14:57:22 time: 0.7401 data_time: 0.0233 memory: 17350 grad_norm: 5.4739 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1397 loss: 2.1397 2022/07/22 07:12:13 - mmengine - INFO - Epoch(train) [10][1380/3757] lr: 1.0000e-02 eta: 2 days, 14:56:54 time: 0.5908 data_time: 0.0339 memory: 17350 grad_norm: 5.2148 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3538 loss: 2.3538 2022/07/22 07:12:27 - mmengine - INFO - Epoch(train) [10][1400/3757] lr: 1.0000e-02 eta: 2 days, 14:56:49 time: 0.7062 data_time: 0.0249 memory: 17350 grad_norm: 5.4850 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1870 loss: 2.1870 2022/07/22 07:12:39 - mmengine - INFO - Epoch(train) [10][1420/3757] lr: 1.0000e-02 eta: 2 days, 14:56:26 time: 0.6191 data_time: 0.0709 memory: 17350 grad_norm: 5.3508 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3222 loss: 2.3222 2022/07/22 07:12:53 - mmengine - INFO - Epoch(train) [10][1440/3757] lr: 1.0000e-02 eta: 2 days, 14:56:22 time: 0.7102 data_time: 0.0523 memory: 17350 grad_norm: 5.2912 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6014 loss: 2.6014 2022/07/22 07:13:05 - mmengine - INFO - Epoch(train) [10][1460/3757] lr: 1.0000e-02 eta: 2 days, 14:55:54 time: 0.5915 data_time: 0.0582 memory: 17350 grad_norm: 5.1725 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0076 loss: 2.0076 2022/07/22 07:13:20 - mmengine - INFO - Epoch(train) [10][1480/3757] lr: 1.0000e-02 eta: 2 days, 14:55:56 time: 0.7425 data_time: 0.0958 memory: 17350 grad_norm: 5.4219 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4390 loss: 2.4390 2022/07/22 07:13:32 - mmengine - INFO - Epoch(train) [10][1500/3757] lr: 1.0000e-02 eta: 2 days, 14:55:27 time: 0.5840 data_time: 0.0647 memory: 17350 grad_norm: 5.4774 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1554 loss: 2.1554 2022/07/22 07:13:47 - mmengine - INFO - Epoch(train) [10][1520/3757] lr: 1.0000e-02 eta: 2 days, 14:55:32 time: 0.7608 data_time: 0.1893 memory: 17350 grad_norm: 5.4878 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4360 loss: 2.4360 2022/07/22 07:13:59 - mmengine - INFO - Epoch(train) [10][1540/3757] lr: 1.0000e-02 eta: 2 days, 14:55:04 time: 0.5927 data_time: 0.1766 memory: 17350 grad_norm: 5.4682 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1660 loss: 2.1660 2022/07/22 07:14:13 - mmengine - INFO - Epoch(train) [10][1560/3757] lr: 1.0000e-02 eta: 2 days, 14:55:01 time: 0.7192 data_time: 0.2285 memory: 17350 grad_norm: 5.5336 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1142 loss: 2.1142 2022/07/22 07:14:26 - mmengine - INFO - Epoch(train) [10][1580/3757] lr: 1.0000e-02 eta: 2 days, 14:54:40 time: 0.6244 data_time: 0.1502 memory: 17350 grad_norm: 5.1378 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9937 loss: 1.9937 2022/07/22 07:14:40 - mmengine - INFO - Epoch(train) [10][1600/3757] lr: 1.0000e-02 eta: 2 days, 14:54:41 time: 0.7377 data_time: 0.2972 memory: 17350 grad_norm: 5.1346 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2431 loss: 2.2431 2022/07/22 07:14:52 - mmengine - INFO - Epoch(train) [10][1620/3757] lr: 1.0000e-02 eta: 2 days, 14:54:15 time: 0.6028 data_time: 0.2648 memory: 17350 grad_norm: 5.4679 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3609 loss: 2.3609 2022/07/22 07:15:08 - mmengine - INFO - Epoch(train) [10][1640/3757] lr: 1.0000e-02 eta: 2 days, 14:54:19 time: 0.7551 data_time: 0.3738 memory: 17350 grad_norm: 5.3077 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0775 loss: 2.0775 2022/07/22 07:15:20 - mmengine - INFO - Epoch(train) [10][1660/3757] lr: 1.0000e-02 eta: 2 days, 14:53:55 time: 0.6098 data_time: 0.2787 memory: 17350 grad_norm: 5.2128 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8965 loss: 1.8965 2022/07/22 07:15:34 - mmengine - INFO - Epoch(train) [10][1680/3757] lr: 1.0000e-02 eta: 2 days, 14:53:52 time: 0.7193 data_time: 0.3875 memory: 17350 grad_norm: 5.6149 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1106 loss: 2.1106 2022/07/22 07:15:46 - mmengine - INFO - Epoch(train) [10][1700/3757] lr: 1.0000e-02 eta: 2 days, 14:53:27 time: 0.6034 data_time: 0.2734 memory: 17350 grad_norm: 5.4664 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.4351 loss: 2.4351 2022/07/22 07:16:01 - mmengine - INFO - Epoch(train) [10][1720/3757] lr: 1.0000e-02 eta: 2 days, 14:53:25 time: 0.7240 data_time: 0.3862 memory: 17350 grad_norm: 5.4011 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2845 loss: 2.2845 2022/07/22 07:16:13 - mmengine - INFO - Epoch(train) [10][1740/3757] lr: 1.0000e-02 eta: 2 days, 14:53:00 time: 0.6078 data_time: 0.2765 memory: 17350 grad_norm: 5.5103 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6053 loss: 2.6053 2022/07/22 07:16:29 - mmengine - INFO - Epoch(train) [10][1760/3757] lr: 1.0000e-02 eta: 2 days, 14:53:11 time: 0.7927 data_time: 0.4617 memory: 17350 grad_norm: 5.3414 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1331 loss: 2.1331 2022/07/22 07:16:39 - mmengine - INFO - Epoch(train) [10][1780/3757] lr: 1.0000e-02 eta: 2 days, 14:52:34 time: 0.5400 data_time: 0.2078 memory: 17350 grad_norm: 5.3276 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9220 loss: 1.9220 2022/07/22 07:16:54 - mmengine - INFO - Epoch(train) [10][1800/3757] lr: 1.0000e-02 eta: 2 days, 14:52:28 time: 0.7018 data_time: 0.3723 memory: 17350 grad_norm: 5.3185 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4348 loss: 2.4348 2022/07/22 07:17:06 - mmengine - INFO - Epoch(train) [10][1820/3757] lr: 1.0000e-02 eta: 2 days, 14:52:07 time: 0.6261 data_time: 0.2952 memory: 17350 grad_norm: 5.4316 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2593 loss: 2.2593 2022/07/22 07:17:21 - mmengine - INFO - Epoch(train) [10][1840/3757] lr: 1.0000e-02 eta: 2 days, 14:52:08 time: 0.7391 data_time: 0.3938 memory: 17350 grad_norm: 5.3395 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1550 loss: 2.1550 2022/07/22 07:17:33 - mmengine - INFO - Epoch(train) [10][1860/3757] lr: 1.0000e-02 eta: 2 days, 14:51:43 time: 0.6064 data_time: 0.2766 memory: 17350 grad_norm: 5.3324 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4505 loss: 2.4505 2022/07/22 07:17:48 - mmengine - INFO - Epoch(train) [10][1880/3757] lr: 1.0000e-02 eta: 2 days, 14:51:44 time: 0.7398 data_time: 0.4055 memory: 17350 grad_norm: 5.5774 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3686 loss: 2.3686 2022/07/22 07:18:00 - mmengine - INFO - Epoch(train) [10][1900/3757] lr: 1.0000e-02 eta: 2 days, 14:51:18 time: 0.5997 data_time: 0.2680 memory: 17350 grad_norm: 5.4462 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1897 loss: 2.1897 2022/07/22 07:18:14 - mmengine - INFO - Epoch(train) [10][1920/3757] lr: 1.0000e-02 eta: 2 days, 14:51:14 time: 0.7160 data_time: 0.3870 memory: 17350 grad_norm: 5.4610 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5308 loss: 2.5308 2022/07/22 07:18:26 - mmengine - INFO - Epoch(train) [10][1940/3757] lr: 1.0000e-02 eta: 2 days, 14:50:48 time: 0.6001 data_time: 0.2645 memory: 17350 grad_norm: 5.4888 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3112 loss: 2.3112 2022/07/22 07:18:41 - mmengine - INFO - Epoch(train) [10][1960/3757] lr: 1.0000e-02 eta: 2 days, 14:50:50 time: 0.7450 data_time: 0.4094 memory: 17350 grad_norm: 5.3689 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0646 loss: 2.0646 2022/07/22 07:18:52 - mmengine - INFO - Epoch(train) [10][1980/3757] lr: 1.0000e-02 eta: 2 days, 14:50:19 time: 0.5729 data_time: 0.2446 memory: 17350 grad_norm: 5.3755 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1114 loss: 2.1114 2022/07/22 07:19:07 - mmengine - INFO - Epoch(train) [10][2000/3757] lr: 1.0000e-02 eta: 2 days, 14:50:17 time: 0.7213 data_time: 0.3845 memory: 17350 grad_norm: 5.2720 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1815 loss: 2.1815 2022/07/22 07:19:19 - mmengine - INFO - Epoch(train) [10][2020/3757] lr: 1.0000e-02 eta: 2 days, 14:49:53 time: 0.6135 data_time: 0.2836 memory: 17350 grad_norm: 5.3268 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1550 loss: 2.1550 2022/07/22 07:19:33 - mmengine - INFO - Epoch(train) [10][2040/3757] lr: 1.0000e-02 eta: 2 days, 14:49:49 time: 0.7120 data_time: 0.3827 memory: 17350 grad_norm: 5.1795 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9273 loss: 1.9273 2022/07/22 07:19:45 - mmengine - INFO - Epoch(train) [10][2060/3757] lr: 1.0000e-02 eta: 2 days, 14:49:20 time: 0.5820 data_time: 0.2501 memory: 17350 grad_norm: 5.4593 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1021 loss: 2.1021 2022/07/22 07:20:00 - mmengine - INFO - Epoch(train) [10][2080/3757] lr: 1.0000e-02 eta: 2 days, 14:49:20 time: 0.7392 data_time: 0.4058 memory: 17350 grad_norm: 5.2828 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2461 loss: 2.2461 2022/07/22 07:20:12 - mmengine - INFO - Epoch(train) [10][2100/3757] lr: 1.0000e-02 eta: 2 days, 14:48:55 time: 0.6037 data_time: 0.2683 memory: 17350 grad_norm: 5.5523 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2523 loss: 2.2523 2022/07/22 07:20:26 - mmengine - INFO - Epoch(train) [10][2120/3757] lr: 1.0000e-02 eta: 2 days, 14:48:52 time: 0.7195 data_time: 0.3294 memory: 17350 grad_norm: 5.2725 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2487 loss: 2.2487 2022/07/22 07:20:38 - mmengine - INFO - Epoch(train) [10][2140/3757] lr: 1.0000e-02 eta: 2 days, 14:48:27 time: 0.6004 data_time: 0.2567 memory: 17350 grad_norm: 5.3389 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2865 loss: 2.2865 2022/07/22 07:20:53 - mmengine - INFO - Epoch(train) [10][2160/3757] lr: 1.0000e-02 eta: 2 days, 14:48:25 time: 0.7283 data_time: 0.3594 memory: 17350 grad_norm: 5.3697 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1488 loss: 2.1488 2022/07/22 07:21:05 - mmengine - INFO - Epoch(train) [10][2180/3757] lr: 1.0000e-02 eta: 2 days, 14:48:03 time: 0.6176 data_time: 0.2684 memory: 17350 grad_norm: 5.4469 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1985 loss: 2.1985 2022/07/22 07:21:10 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 07:21:20 - mmengine - INFO - Epoch(train) [10][2200/3757] lr: 1.0000e-02 eta: 2 days, 14:48:03 time: 0.7376 data_time: 0.4045 memory: 17350 grad_norm: 5.4301 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4659 loss: 2.4659 2022/07/22 07:21:32 - mmengine - INFO - Epoch(train) [10][2220/3757] lr: 1.0000e-02 eta: 2 days, 14:47:39 time: 0.6091 data_time: 0.2609 memory: 17350 grad_norm: 5.3808 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3821 loss: 2.3821 2022/07/22 07:21:47 - mmengine - INFO - Epoch(train) [10][2240/3757] lr: 1.0000e-02 eta: 2 days, 14:47:36 time: 0.7202 data_time: 0.3725 memory: 17350 grad_norm: 5.3365 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2839 loss: 2.2839 2022/07/22 07:21:59 - mmengine - INFO - Epoch(train) [10][2260/3757] lr: 1.0000e-02 eta: 2 days, 14:47:14 time: 0.6165 data_time: 0.2324 memory: 17350 grad_norm: 5.3827 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4622 loss: 2.4622 2022/07/22 07:22:13 - mmengine - INFO - Epoch(train) [10][2280/3757] lr: 1.0000e-02 eta: 2 days, 14:47:04 time: 0.6826 data_time: 0.2601 memory: 17350 grad_norm: 5.3510 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1088 loss: 2.1088 2022/07/22 07:22:25 - mmengine - INFO - Epoch(train) [10][2300/3757] lr: 1.0000e-02 eta: 2 days, 14:46:44 time: 0.6322 data_time: 0.2286 memory: 17350 grad_norm: 5.4484 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1111 loss: 2.1111 2022/07/22 07:22:40 - mmengine - INFO - Epoch(train) [10][2320/3757] lr: 1.0000e-02 eta: 2 days, 14:46:47 time: 0.7545 data_time: 0.4236 memory: 17350 grad_norm: 5.5657 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1898 loss: 2.1898 2022/07/22 07:22:52 - mmengine - INFO - Epoch(train) [10][2340/3757] lr: 1.0000e-02 eta: 2 days, 14:46:18 time: 0.5799 data_time: 0.2524 memory: 17350 grad_norm: 5.2556 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.7433 loss: 1.7433 2022/07/22 07:23:07 - mmengine - INFO - Epoch(train) [10][2360/3757] lr: 1.0000e-02 eta: 2 days, 14:46:18 time: 0.7374 data_time: 0.4052 memory: 17350 grad_norm: 5.4784 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1864 loss: 2.1864 2022/07/22 07:23:19 - mmengine - INFO - Epoch(train) [10][2380/3757] lr: 1.0000e-02 eta: 2 days, 14:45:53 time: 0.6030 data_time: 0.2711 memory: 17350 grad_norm: 5.5053 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3219 loss: 2.3219 2022/07/22 07:23:33 - mmengine - INFO - Epoch(train) [10][2400/3757] lr: 1.0000e-02 eta: 2 days, 14:45:45 time: 0.6941 data_time: 0.3640 memory: 17350 grad_norm: 5.4098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2455 loss: 2.2455 2022/07/22 07:23:45 - mmengine - INFO - Epoch(train) [10][2420/3757] lr: 1.0000e-02 eta: 2 days, 14:45:24 time: 0.6232 data_time: 0.2431 memory: 17350 grad_norm: 5.3958 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2300 loss: 2.2300 2022/07/22 07:23:59 - mmengine - INFO - Epoch(train) [10][2440/3757] lr: 1.0000e-02 eta: 2 days, 14:45:20 time: 0.7155 data_time: 0.2609 memory: 17350 grad_norm: 5.4459 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5624 loss: 2.5624 2022/07/22 07:24:12 - mmengine - INFO - Epoch(train) [10][2460/3757] lr: 1.0000e-02 eta: 2 days, 14:45:01 time: 0.6377 data_time: 0.1890 memory: 17350 grad_norm: 5.3521 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0566 loss: 2.0566 2022/07/22 07:24:26 - mmengine - INFO - Epoch(train) [10][2480/3757] lr: 1.0000e-02 eta: 2 days, 14:44:54 time: 0.6961 data_time: 0.2001 memory: 17350 grad_norm: 5.1877 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4220 loss: 2.4220 2022/07/22 07:24:39 - mmengine - INFO - Epoch(train) [10][2500/3757] lr: 1.0000e-02 eta: 2 days, 14:44:33 time: 0.6248 data_time: 0.1407 memory: 17350 grad_norm: 5.6007 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6703 loss: 2.6703 2022/07/22 07:24:51 - mmengine - INFO - Epoch(train) [10][2520/3757] lr: 1.0000e-02 eta: 2 days, 14:44:14 time: 0.6338 data_time: 0.0946 memory: 17350 grad_norm: 5.4598 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4198 loss: 2.4198 2022/07/22 07:25:06 - mmengine - INFO - Epoch(train) [10][2540/3757] lr: 1.0000e-02 eta: 2 days, 14:44:13 time: 0.7328 data_time: 0.0739 memory: 17350 grad_norm: 5.3783 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1038 loss: 2.1038 2022/07/22 07:25:18 - mmengine - INFO - Epoch(train) [10][2560/3757] lr: 1.0000e-02 eta: 2 days, 14:43:52 time: 0.6248 data_time: 0.0428 memory: 17350 grad_norm: 5.3288 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9651 loss: 1.9651 2022/07/22 07:25:32 - mmengine - INFO - Epoch(train) [10][2580/3757] lr: 1.0000e-02 eta: 2 days, 14:43:44 time: 0.6959 data_time: 0.0427 memory: 17350 grad_norm: 5.3423 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2893 loss: 2.2893 2022/07/22 07:25:46 - mmengine - INFO - Epoch(train) [10][2600/3757] lr: 1.0000e-02 eta: 2 days, 14:43:35 time: 0.6845 data_time: 0.0998 memory: 17350 grad_norm: 5.4258 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5421 loss: 2.5421 2022/07/22 07:25:59 - mmengine - INFO - Epoch(train) [10][2620/3757] lr: 1.0000e-02 eta: 2 days, 14:43:19 time: 0.6511 data_time: 0.0372 memory: 17350 grad_norm: 5.5686 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1512 loss: 2.1512 2022/07/22 07:26:12 - mmengine - INFO - Epoch(train) [10][2640/3757] lr: 1.0000e-02 eta: 2 days, 14:43:04 time: 0.6582 data_time: 0.0737 memory: 17350 grad_norm: 5.2864 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4661 loss: 2.4661 2022/07/22 07:26:26 - mmengine - INFO - Epoch(train) [10][2660/3757] lr: 1.0000e-02 eta: 2 days, 14:42:55 time: 0.6906 data_time: 0.0983 memory: 17350 grad_norm: 5.4568 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3904 loss: 2.3904 2022/07/22 07:26:39 - mmengine - INFO - Epoch(train) [10][2680/3757] lr: 1.0000e-02 eta: 2 days, 14:42:41 time: 0.6609 data_time: 0.1622 memory: 17350 grad_norm: 5.4633 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2091 loss: 2.2091 2022/07/22 07:26:52 - mmengine - INFO - Epoch(train) [10][2700/3757] lr: 1.0000e-02 eta: 2 days, 14:42:24 time: 0.6472 data_time: 0.2133 memory: 17350 grad_norm: 5.4066 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3567 loss: 2.3567 2022/07/22 07:27:06 - mmengine - INFO - Epoch(train) [10][2720/3757] lr: 1.0000e-02 eta: 2 days, 14:42:20 time: 0.7161 data_time: 0.2958 memory: 17350 grad_norm: 5.5509 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4584 loss: 2.4584 2022/07/22 07:27:19 - mmengine - INFO - Epoch(train) [10][2740/3757] lr: 1.0000e-02 eta: 2 days, 14:41:59 time: 0.6246 data_time: 0.1487 memory: 17350 grad_norm: 5.4915 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3373 loss: 2.3373 2022/07/22 07:27:33 - mmengine - INFO - Epoch(train) [10][2760/3757] lr: 1.0000e-02 eta: 2 days, 14:41:50 time: 0.6842 data_time: 0.1214 memory: 17350 grad_norm: 5.4854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2298 loss: 2.2298 2022/07/22 07:27:46 - mmengine - INFO - Epoch(train) [10][2780/3757] lr: 1.0000e-02 eta: 2 days, 14:41:33 time: 0.6485 data_time: 0.0892 memory: 17350 grad_norm: 5.1656 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1817 loss: 2.1817 2022/07/22 07:27:59 - mmengine - INFO - Epoch(train) [10][2800/3757] lr: 1.0000e-02 eta: 2 days, 14:41:20 time: 0.6672 data_time: 0.0664 memory: 17350 grad_norm: 5.3798 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1593 loss: 2.1593 2022/07/22 07:28:13 - mmengine - INFO - Epoch(train) [10][2820/3757] lr: 1.0000e-02 eta: 2 days, 14:41:15 time: 0.7093 data_time: 0.0223 memory: 17350 grad_norm: 5.4451 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4679 loss: 2.4679 2022/07/22 07:28:26 - mmengine - INFO - Epoch(train) [10][2840/3757] lr: 1.0000e-02 eta: 2 days, 14:40:58 time: 0.6486 data_time: 0.0355 memory: 17350 grad_norm: 5.4050 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1709 loss: 2.1709 2022/07/22 07:28:39 - mmengine - INFO - Epoch(train) [10][2860/3757] lr: 1.0000e-02 eta: 2 days, 14:40:40 time: 0.6397 data_time: 0.0232 memory: 17350 grad_norm: 5.5294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5384 loss: 2.5384 2022/07/22 07:28:52 - mmengine - INFO - Epoch(train) [10][2880/3757] lr: 1.0000e-02 eta: 2 days, 14:40:28 time: 0.6718 data_time: 0.0246 memory: 17350 grad_norm: 5.4124 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8709 loss: 1.8709 2022/07/22 07:29:05 - mmengine - INFO - Epoch(train) [10][2900/3757] lr: 1.0000e-02 eta: 2 days, 14:40:12 time: 0.6499 data_time: 0.0228 memory: 17350 grad_norm: 5.3716 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4172 loss: 2.4172 2022/07/22 07:29:20 - mmengine - INFO - Epoch(train) [10][2920/3757] lr: 1.0000e-02 eta: 2 days, 14:40:10 time: 0.7282 data_time: 0.0233 memory: 17350 grad_norm: 5.4733 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4257 loss: 2.4257 2022/07/22 07:29:32 - mmengine - INFO - Epoch(train) [10][2940/3757] lr: 1.0000e-02 eta: 2 days, 14:39:45 time: 0.6000 data_time: 0.0242 memory: 17350 grad_norm: 5.4431 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2271 loss: 2.2271 2022/07/22 07:29:47 - mmengine - INFO - Epoch(train) [10][2960/3757] lr: 1.0000e-02 eta: 2 days, 14:39:44 time: 0.7353 data_time: 0.0246 memory: 17350 grad_norm: 5.4504 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3064 loss: 2.3064 2022/07/22 07:29:59 - mmengine - INFO - Epoch(train) [10][2980/3757] lr: 1.0000e-02 eta: 2 days, 14:39:19 time: 0.6009 data_time: 0.0229 memory: 17350 grad_norm: 5.2765 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2655 loss: 2.2655 2022/07/22 07:30:14 - mmengine - INFO - Epoch(train) [10][3000/3757] lr: 1.0000e-02 eta: 2 days, 14:39:21 time: 0.7501 data_time: 0.0213 memory: 17350 grad_norm: 5.3676 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1077 loss: 2.1077 2022/07/22 07:30:25 - mmengine - INFO - Epoch(train) [10][3020/3757] lr: 1.0000e-02 eta: 2 days, 14:38:52 time: 0.5753 data_time: 0.0208 memory: 17350 grad_norm: 5.3985 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2884 loss: 2.2884 2022/07/22 07:30:40 - mmengine - INFO - Epoch(train) [10][3040/3757] lr: 1.0000e-02 eta: 2 days, 14:38:48 time: 0.7201 data_time: 0.0228 memory: 17350 grad_norm: 5.1548 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2181 loss: 2.2181 2022/07/22 07:30:52 - mmengine - INFO - Epoch(train) [10][3060/3757] lr: 1.0000e-02 eta: 2 days, 14:38:23 time: 0.6018 data_time: 0.0224 memory: 17350 grad_norm: 5.3287 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1189 loss: 2.1189 2022/07/22 07:31:07 - mmengine - INFO - Epoch(train) [10][3080/3757] lr: 1.0000e-02 eta: 2 days, 14:38:27 time: 0.7589 data_time: 0.0219 memory: 17350 grad_norm: 5.4683 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2815 loss: 2.2815 2022/07/22 07:31:18 - mmengine - INFO - Epoch(train) [10][3100/3757] lr: 1.0000e-02 eta: 2 days, 14:37:53 time: 0.5532 data_time: 0.0212 memory: 17350 grad_norm: 5.2643 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1721 loss: 2.1721 2022/07/22 07:31:33 - mmengine - INFO - Epoch(train) [10][3120/3757] lr: 1.0000e-02 eta: 2 days, 14:37:54 time: 0.7438 data_time: 0.0216 memory: 17350 grad_norm: 5.4010 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1763 loss: 2.1763 2022/07/22 07:31:44 - mmengine - INFO - Epoch(train) [10][3140/3757] lr: 1.0000e-02 eta: 2 days, 14:37:25 time: 0.5800 data_time: 0.0225 memory: 17350 grad_norm: 5.4753 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1664 loss: 2.1664 2022/07/22 07:31:58 - mmengine - INFO - Epoch(train) [10][3160/3757] lr: 1.0000e-02 eta: 2 days, 14:37:18 time: 0.6970 data_time: 0.0216 memory: 17350 grad_norm: 5.5024 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3135 loss: 2.3135 2022/07/22 07:32:11 - mmengine - INFO - Epoch(train) [10][3180/3757] lr: 1.0000e-02 eta: 2 days, 14:36:57 time: 0.6232 data_time: 0.0898 memory: 17350 grad_norm: 5.3790 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1743 loss: 2.1743 2022/07/22 07:32:16 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 07:32:25 - mmengine - INFO - Epoch(train) [10][3200/3757] lr: 1.0000e-02 eta: 2 days, 14:36:52 time: 0.7138 data_time: 0.0988 memory: 17350 grad_norm: 5.3864 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.2124 loss: 2.2124 2022/07/22 07:32:38 - mmengine - INFO - Epoch(train) [10][3220/3757] lr: 1.0000e-02 eta: 2 days, 14:36:35 time: 0.6442 data_time: 0.1082 memory: 17350 grad_norm: 5.3132 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1982 loss: 2.1982 2022/07/22 07:32:51 - mmengine - INFO - Epoch(train) [10][3240/3757] lr: 1.0000e-02 eta: 2 days, 14:36:20 time: 0.6584 data_time: 0.1046 memory: 17350 grad_norm: 5.3917 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3640 loss: 2.3640 2022/07/22 07:33:04 - mmengine - INFO - Epoch(train) [10][3260/3757] lr: 1.0000e-02 eta: 2 days, 14:36:03 time: 0.6434 data_time: 0.1087 memory: 17350 grad_norm: 5.5801 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4877 loss: 2.4877 2022/07/22 07:33:18 - mmengine - INFO - Epoch(train) [10][3280/3757] lr: 1.0000e-02 eta: 2 days, 14:35:58 time: 0.7141 data_time: 0.0393 memory: 17350 grad_norm: 5.4184 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4534 loss: 2.4534 2022/07/22 07:33:31 - mmengine - INFO - Epoch(train) [10][3300/3757] lr: 1.0000e-02 eta: 2 days, 14:35:43 time: 0.6549 data_time: 0.1274 memory: 17350 grad_norm: 5.3313 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1618 loss: 2.1618 2022/07/22 07:33:46 - mmengine - INFO - Epoch(train) [10][3320/3757] lr: 1.0000e-02 eta: 2 days, 14:35:41 time: 0.7276 data_time: 0.1495 memory: 17350 grad_norm: 5.4796 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5441 loss: 2.5441 2022/07/22 07:33:59 - mmengine - INFO - Epoch(train) [10][3340/3757] lr: 1.0000e-02 eta: 2 days, 14:35:23 time: 0.6373 data_time: 0.0449 memory: 17350 grad_norm: 5.2263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2198 loss: 2.2198 2022/07/22 07:34:12 - mmengine - INFO - Epoch(train) [10][3360/3757] lr: 1.0000e-02 eta: 2 days, 14:35:08 time: 0.6567 data_time: 0.0799 memory: 17350 grad_norm: 5.3147 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4005 loss: 2.4005 2022/07/22 07:34:26 - mmengine - INFO - Epoch(train) [10][3380/3757] lr: 1.0000e-02 eta: 2 days, 14:34:58 time: 0.6856 data_time: 0.1404 memory: 17350 grad_norm: 5.4124 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3620 loss: 2.3620 2022/07/22 07:34:39 - mmengine - INFO - Epoch(train) [10][3400/3757] lr: 1.0000e-02 eta: 2 days, 14:34:45 time: 0.6644 data_time: 0.0301 memory: 17350 grad_norm: 5.2155 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9654 loss: 1.9654 2022/07/22 07:34:52 - mmengine - INFO - Epoch(train) [10][3420/3757] lr: 1.0000e-02 eta: 2 days, 14:34:32 time: 0.6669 data_time: 0.0216 memory: 17350 grad_norm: 5.4075 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3018 loss: 2.3018 2022/07/22 07:35:06 - mmengine - INFO - Epoch(train) [10][3440/3757] lr: 1.0000e-02 eta: 2 days, 14:34:25 time: 0.7031 data_time: 0.0212 memory: 17350 grad_norm: 5.4096 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3966 loss: 2.3966 2022/07/22 07:35:18 - mmengine - INFO - Epoch(train) [10][3460/3757] lr: 1.0000e-02 eta: 2 days, 14:34:01 time: 0.6079 data_time: 0.0210 memory: 17350 grad_norm: 5.4652 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5355 loss: 2.5355 2022/07/22 07:35:33 - mmengine - INFO - Epoch(train) [10][3480/3757] lr: 1.0000e-02 eta: 2 days, 14:33:57 time: 0.7160 data_time: 0.0216 memory: 17350 grad_norm: 5.3854 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4894 loss: 2.4894 2022/07/22 07:35:45 - mmengine - INFO - Epoch(train) [10][3500/3757] lr: 1.0000e-02 eta: 2 days, 14:33:35 time: 0.6147 data_time: 0.0247 memory: 17350 grad_norm: 5.6263 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3639 loss: 2.3639 2022/07/22 07:36:00 - mmengine - INFO - Epoch(train) [10][3520/3757] lr: 1.0000e-02 eta: 2 days, 14:33:34 time: 0.7337 data_time: 0.0215 memory: 17350 grad_norm: 5.4561 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2845 loss: 2.2845 2022/07/22 07:36:12 - mmengine - INFO - Epoch(train) [10][3540/3757] lr: 1.0000e-02 eta: 2 days, 14:33:07 time: 0.5933 data_time: 0.0227 memory: 17350 grad_norm: 5.2909 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4184 loss: 2.4184 2022/07/22 07:36:26 - mmengine - INFO - Epoch(train) [10][3560/3757] lr: 1.0000e-02 eta: 2 days, 14:33:07 time: 0.7403 data_time: 0.0221 memory: 17350 grad_norm: 5.3141 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2801 loss: 2.2801 2022/07/22 07:36:38 - mmengine - INFO - Epoch(train) [10][3580/3757] lr: 1.0000e-02 eta: 2 days, 14:32:42 time: 0.5985 data_time: 0.0224 memory: 17350 grad_norm: 5.4485 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1184 loss: 2.1184 2022/07/22 07:36:53 - mmengine - INFO - Epoch(train) [10][3600/3757] lr: 1.0000e-02 eta: 2 days, 14:32:38 time: 0.7183 data_time: 0.0345 memory: 17350 grad_norm: 5.2798 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4394 loss: 2.4394 2022/07/22 07:37:06 - mmengine - INFO - Epoch(train) [10][3620/3757] lr: 1.0000e-02 eta: 2 days, 14:32:23 time: 0.6565 data_time: 0.0267 memory: 17350 grad_norm: 5.4008 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1117 loss: 2.1117 2022/07/22 07:37:19 - mmengine - INFO - Epoch(train) [10][3640/3757] lr: 1.0000e-02 eta: 2 days, 14:32:08 time: 0.6564 data_time: 0.0243 memory: 17350 grad_norm: 5.3885 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3138 loss: 2.3138 2022/07/22 07:37:32 - mmengine - INFO - Epoch(train) [10][3660/3757] lr: 1.0000e-02 eta: 2 days, 14:31:55 time: 0.6683 data_time: 0.0319 memory: 17350 grad_norm: 5.2038 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3745 loss: 2.3745 2022/07/22 07:37:46 - mmengine - INFO - Epoch(train) [10][3680/3757] lr: 1.0000e-02 eta: 2 days, 14:31:49 time: 0.7040 data_time: 0.0217 memory: 17350 grad_norm: 5.3680 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0335 loss: 2.0335 2022/07/22 07:37:59 - mmengine - INFO - Epoch(train) [10][3700/3757] lr: 1.0000e-02 eta: 2 days, 14:31:29 time: 0.6255 data_time: 0.0223 memory: 17350 grad_norm: 5.3595 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3148 loss: 2.3148 2022/07/22 07:38:13 - mmengine - INFO - Epoch(train) [10][3720/3757] lr: 1.0000e-02 eta: 2 days, 14:31:25 time: 0.7187 data_time: 0.0219 memory: 17350 grad_norm: 5.3376 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2841 loss: 2.2841 2022/07/22 07:38:26 - mmengine - INFO - Epoch(train) [10][3740/3757] lr: 1.0000e-02 eta: 2 days, 14:31:07 time: 0.6418 data_time: 0.0232 memory: 17350 grad_norm: 5.1815 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9782 loss: 1.9782 2022/07/22 07:38:34 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 07:38:34 - mmengine - INFO - Epoch(train) [10][3757/3757] lr: 1.0000e-02 eta: 2 days, 14:31:07 time: 0.5165 data_time: 0.0203 memory: 17350 grad_norm: 5.4777 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.2515 loss: 2.2515 2022/07/22 07:38:34 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/07/22 07:38:57 - mmengine - INFO - Epoch(val) [10][20/310] eta: 0:03:57 time: 0.8185 data_time: 0.7027 memory: 3406 2022/07/22 07:39:08 - mmengine - INFO - Epoch(val) [10][40/310] eta: 0:02:29 time: 0.5522 data_time: 0.4404 memory: 3406 2022/07/22 07:39:23 - mmengine - INFO - Epoch(val) [10][60/310] eta: 0:03:12 time: 0.7684 data_time: 0.6551 memory: 3406 2022/07/22 07:39:34 - mmengine - INFO - Epoch(val) [10][80/310] eta: 0:02:04 time: 0.5402 data_time: 0.4278 memory: 3406 2022/07/22 07:39:50 - mmengine - INFO - Epoch(val) [10][100/310] eta: 0:02:47 time: 0.7966 data_time: 0.6829 memory: 3406 2022/07/22 07:40:01 - mmengine - INFO - Epoch(val) [10][120/310] eta: 0:01:43 time: 0.5464 data_time: 0.4333 memory: 3406 2022/07/22 07:40:16 - mmengine - INFO - Epoch(val) [10][140/310] eta: 0:02:11 time: 0.7714 data_time: 0.6574 memory: 3406 2022/07/22 07:40:28 - mmengine - INFO - Epoch(val) [10][160/310] eta: 0:01:25 time: 0.5686 data_time: 0.4523 memory: 3406 2022/07/22 07:40:44 - mmengine - INFO - Epoch(val) [10][180/310] eta: 0:01:43 time: 0.7967 data_time: 0.6832 memory: 3406 2022/07/22 07:40:55 - mmengine - INFO - Epoch(val) [10][200/310] eta: 0:01:00 time: 0.5467 data_time: 0.4351 memory: 3406 2022/07/22 07:41:11 - mmengine - INFO - Epoch(val) [10][220/310] eta: 0:01:14 time: 0.8260 data_time: 0.7130 memory: 3406 2022/07/22 07:41:22 - mmengine - INFO - Epoch(val) [10][240/310] eta: 0:00:37 time: 0.5394 data_time: 0.4226 memory: 3406 2022/07/22 07:41:38 - mmengine - INFO - Epoch(val) [10][260/310] eta: 0:00:39 time: 0.7821 data_time: 0.6686 memory: 3406 2022/07/22 07:41:48 - mmengine - INFO - Epoch(val) [10][280/310] eta: 0:00:16 time: 0.5405 data_time: 0.4276 memory: 3406 2022/07/22 07:41:59 - mmengine - INFO - Epoch(val) [10][300/310] eta: 0:00:05 time: 0.5396 data_time: 0.4278 memory: 3406 2022/07/22 07:42:02 - mmengine - INFO - Epoch(val) [10][310/310] acc/top1: 0.5204 acc/top5: 0.7765 acc/mean1: 0.5203 2022/07/22 07:42:03 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_10.pth is removed 2022/07/22 07:42:05 - mmengine - INFO - The best checkpoint with 0.5204 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/07/22 07:42:22 - mmengine - INFO - Epoch(train) [11][20/3757] lr: 1.0000e-02 eta: 2 days, 14:29:34 time: 0.8496 data_time: 0.5215 memory: 17350 grad_norm: 5.3341 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1436 loss: 2.1436 2022/07/22 07:42:34 - mmengine - INFO - Epoch(train) [11][40/3757] lr: 1.0000e-02 eta: 2 days, 14:29:10 time: 0.6053 data_time: 0.2774 memory: 17350 grad_norm: 5.4673 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3261 loss: 2.3261 2022/07/22 07:42:49 - mmengine - INFO - Epoch(train) [11][60/3757] lr: 1.0000e-02 eta: 2 days, 14:29:08 time: 0.7294 data_time: 0.4022 memory: 17350 grad_norm: 5.5539 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4379 loss: 2.4379 2022/07/22 07:43:01 - mmengine - INFO - Epoch(train) [11][80/3757] lr: 1.0000e-02 eta: 2 days, 14:28:46 time: 0.6194 data_time: 0.2940 memory: 17350 grad_norm: 5.5400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0534 loss: 2.0534 2022/07/22 07:43:16 - mmengine - INFO - Epoch(train) [11][100/3757] lr: 1.0000e-02 eta: 2 days, 14:28:44 time: 0.7259 data_time: 0.3975 memory: 17350 grad_norm: 5.2288 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0365 loss: 2.0365 2022/07/22 07:43:28 - mmengine - INFO - Epoch(train) [11][120/3757] lr: 1.0000e-02 eta: 2 days, 14:28:20 time: 0.6078 data_time: 0.2800 memory: 17350 grad_norm: 5.2743 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2104 loss: 2.2104 2022/07/22 07:43:43 - mmengine - INFO - Epoch(train) [11][140/3757] lr: 1.0000e-02 eta: 2 days, 14:28:21 time: 0.7413 data_time: 0.4179 memory: 17350 grad_norm: 5.4059 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1251 loss: 2.1251 2022/07/22 07:43:55 - mmengine - INFO - Epoch(train) [11][160/3757] lr: 1.0000e-02 eta: 2 days, 14:27:58 time: 0.6141 data_time: 0.2955 memory: 17350 grad_norm: 5.3411 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4087 loss: 2.4087 2022/07/22 07:44:10 - mmengine - INFO - Epoch(train) [11][180/3757] lr: 1.0000e-02 eta: 2 days, 14:27:57 time: 0.7334 data_time: 0.4126 memory: 17350 grad_norm: 5.3490 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7914 loss: 1.7914 2022/07/22 07:44:22 - mmengine - INFO - Epoch(train) [11][200/3757] lr: 1.0000e-02 eta: 2 days, 14:27:36 time: 0.6196 data_time: 0.2959 memory: 17350 grad_norm: 5.5225 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1205 loss: 2.1205 2022/07/22 07:44:37 - mmengine - INFO - Epoch(train) [11][220/3757] lr: 1.0000e-02 eta: 2 days, 14:27:37 time: 0.7504 data_time: 0.4198 memory: 17350 grad_norm: 5.3270 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1840 loss: 2.1840 2022/07/22 07:44:49 - mmengine - INFO - Epoch(train) [11][240/3757] lr: 1.0000e-02 eta: 2 days, 14:27:09 time: 0.5819 data_time: 0.2522 memory: 17350 grad_norm: 5.4492 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1304 loss: 2.1304 2022/07/22 07:45:05 - mmengine - INFO - Epoch(train) [11][260/3757] lr: 1.0000e-02 eta: 2 days, 14:27:18 time: 0.7896 data_time: 0.4609 memory: 17350 grad_norm: 5.4907 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9145 loss: 1.9145 2022/07/22 07:45:16 - mmengine - INFO - Epoch(train) [11][280/3757] lr: 1.0000e-02 eta: 2 days, 14:26:50 time: 0.5808 data_time: 0.2556 memory: 17350 grad_norm: 5.3767 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2862 loss: 2.2862 2022/07/22 07:45:31 - mmengine - INFO - Epoch(train) [11][300/3757] lr: 1.0000e-02 eta: 2 days, 14:26:45 time: 0.7126 data_time: 0.3842 memory: 17350 grad_norm: 5.4637 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3362 loss: 2.3362 2022/07/22 07:45:42 - mmengine - INFO - Epoch(train) [11][320/3757] lr: 1.0000e-02 eta: 2 days, 14:26:18 time: 0.5891 data_time: 0.2660 memory: 17350 grad_norm: 5.4190 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0420 loss: 2.0420 2022/07/22 07:45:57 - mmengine - INFO - Epoch(train) [11][340/3757] lr: 1.0000e-02 eta: 2 days, 14:26:19 time: 0.7459 data_time: 0.4219 memory: 17350 grad_norm: 5.4244 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5177 loss: 2.5177 2022/07/22 07:46:09 - mmengine - INFO - Epoch(train) [11][360/3757] lr: 1.0000e-02 eta: 2 days, 14:25:51 time: 0.5853 data_time: 0.2499 memory: 17350 grad_norm: 5.3178 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3881 loss: 2.3881 2022/07/22 07:46:24 - mmengine - INFO - Epoch(train) [11][380/3757] lr: 1.0000e-02 eta: 2 days, 14:25:49 time: 0.7267 data_time: 0.4047 memory: 17350 grad_norm: 5.4650 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2903 loss: 2.2903 2022/07/22 07:46:35 - mmengine - INFO - Epoch(train) [11][400/3757] lr: 1.0000e-02 eta: 2 days, 14:25:24 time: 0.5979 data_time: 0.2654 memory: 17350 grad_norm: 5.5493 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3120 loss: 2.3120 2022/07/22 07:46:50 - mmengine - INFO - Epoch(train) [11][420/3757] lr: 1.0000e-02 eta: 2 days, 14:25:19 time: 0.7121 data_time: 0.3870 memory: 17350 grad_norm: 5.4478 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1200 loss: 2.1200 2022/07/22 07:46:56 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 07:47:02 - mmengine - INFO - Epoch(train) [11][440/3757] lr: 1.0000e-02 eta: 2 days, 14:24:56 time: 0.6115 data_time: 0.2903 memory: 17350 grad_norm: 5.5861 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9854 loss: 1.9854 2022/07/22 07:47:17 - mmengine - INFO - Epoch(train) [11][460/3757] lr: 1.0000e-02 eta: 2 days, 14:24:56 time: 0.7407 data_time: 0.4120 memory: 17350 grad_norm: 5.5386 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3767 loss: 2.3767 2022/07/22 07:47:29 - mmengine - INFO - Epoch(train) [11][480/3757] lr: 1.0000e-02 eta: 2 days, 14:24:35 time: 0.6235 data_time: 0.2934 memory: 17350 grad_norm: 5.4662 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2321 loss: 2.2321 2022/07/22 07:47:43 - mmengine - INFO - Epoch(train) [11][500/3757] lr: 1.0000e-02 eta: 2 days, 14:24:28 time: 0.7007 data_time: 0.3711 memory: 17350 grad_norm: 5.3991 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0835 loss: 2.0835 2022/07/22 07:47:55 - mmengine - INFO - Epoch(train) [11][520/3757] lr: 1.0000e-02 eta: 2 days, 14:24:02 time: 0.5930 data_time: 0.2607 memory: 17350 grad_norm: 5.3343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1379 loss: 2.1379 2022/07/22 07:48:10 - mmengine - INFO - Epoch(train) [11][540/3757] lr: 1.0000e-02 eta: 2 days, 14:24:04 time: 0.7539 data_time: 0.4235 memory: 17350 grad_norm: 5.5462 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4563 loss: 2.4563 2022/07/22 07:48:22 - mmengine - INFO - Epoch(train) [11][560/3757] lr: 1.0000e-02 eta: 2 days, 14:23:40 time: 0.6066 data_time: 0.2769 memory: 17350 grad_norm: 5.4935 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4778 loss: 2.4778 2022/07/22 07:48:37 - mmengine - INFO - Epoch(train) [11][580/3757] lr: 1.0000e-02 eta: 2 days, 14:23:35 time: 0.7112 data_time: 0.3825 memory: 17350 grad_norm: 5.4531 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3925 loss: 2.3925 2022/07/22 07:48:49 - mmengine - INFO - Epoch(train) [11][600/3757] lr: 1.0000e-02 eta: 2 days, 14:23:13 time: 0.6163 data_time: 0.2800 memory: 17350 grad_norm: 5.4781 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2948 loss: 2.2948 2022/07/22 07:49:04 - mmengine - INFO - Epoch(train) [11][620/3757] lr: 1.0000e-02 eta: 2 days, 14:23:15 time: 0.7518 data_time: 0.4077 memory: 17350 grad_norm: 5.5257 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1314 loss: 2.1314 2022/07/22 07:49:15 - mmengine - INFO - Epoch(train) [11][640/3757] lr: 1.0000e-02 eta: 2 days, 14:22:44 time: 0.5627 data_time: 0.2272 memory: 17350 grad_norm: 5.3864 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1374 loss: 2.1374 2022/07/22 07:49:30 - mmengine - INFO - Epoch(train) [11][660/3757] lr: 1.0000e-02 eta: 2 days, 14:22:41 time: 0.7249 data_time: 0.3159 memory: 17350 grad_norm: 5.3788 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1726 loss: 2.1726 2022/07/22 07:49:42 - mmengine - INFO - Epoch(train) [11][680/3757] lr: 1.0000e-02 eta: 2 days, 14:22:17 time: 0.6047 data_time: 0.1566 memory: 17350 grad_norm: 5.4343 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0399 loss: 2.0399 2022/07/22 07:49:56 - mmengine - INFO - Epoch(train) [11][700/3757] lr: 1.0000e-02 eta: 2 days, 14:22:12 time: 0.7141 data_time: 0.1465 memory: 17350 grad_norm: 5.2685 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2619 loss: 2.2619 2022/07/22 07:50:09 - mmengine - INFO - Epoch(train) [11][720/3757] lr: 1.0000e-02 eta: 2 days, 14:21:59 time: 0.6654 data_time: 0.1732 memory: 17350 grad_norm: 5.4041 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1882 loss: 2.1882 2022/07/22 07:50:25 - mmengine - INFO - Epoch(train) [11][740/3757] lr: 1.0000e-02 eta: 2 days, 14:22:02 time: 0.7562 data_time: 0.1656 memory: 17350 grad_norm: 5.2889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3241 loss: 2.3241 2022/07/22 07:50:37 - mmengine - INFO - Epoch(train) [11][760/3757] lr: 1.0000e-02 eta: 2 days, 14:21:39 time: 0.6144 data_time: 0.1582 memory: 17350 grad_norm: 5.3230 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8903 loss: 1.8903 2022/07/22 07:50:51 - mmengine - INFO - Epoch(train) [11][780/3757] lr: 1.0000e-02 eta: 2 days, 14:21:36 time: 0.7210 data_time: 0.2955 memory: 17350 grad_norm: 5.2242 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3080 loss: 2.3080 2022/07/22 07:51:03 - mmengine - INFO - Epoch(train) [11][800/3757] lr: 1.0000e-02 eta: 2 days, 14:21:12 time: 0.6086 data_time: 0.2456 memory: 17350 grad_norm: 5.2173 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1865 loss: 2.1865 2022/07/22 07:51:18 - mmengine - INFO - Epoch(train) [11][820/3757] lr: 1.0000e-02 eta: 2 days, 14:21:06 time: 0.7065 data_time: 0.3556 memory: 17350 grad_norm: 5.3911 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1863 loss: 2.1863 2022/07/22 07:51:29 - mmengine - INFO - Epoch(train) [11][840/3757] lr: 1.0000e-02 eta: 2 days, 14:20:38 time: 0.5802 data_time: 0.2088 memory: 17350 grad_norm: 5.5293 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1704 loss: 2.1704 2022/07/22 07:51:44 - mmengine - INFO - Epoch(train) [11][860/3757] lr: 1.0000e-02 eta: 2 days, 14:20:37 time: 0.7379 data_time: 0.2771 memory: 17350 grad_norm: 5.5043 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2767 loss: 2.2767 2022/07/22 07:51:56 - mmengine - INFO - Epoch(train) [11][880/3757] lr: 1.0000e-02 eta: 2 days, 14:20:12 time: 0.5953 data_time: 0.2083 memory: 17350 grad_norm: 5.4110 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3090 loss: 2.3090 2022/07/22 07:52:11 - mmengine - INFO - Epoch(train) [11][900/3757] lr: 1.0000e-02 eta: 2 days, 14:20:14 time: 0.7530 data_time: 0.2953 memory: 17350 grad_norm: 5.4522 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9481 loss: 1.9481 2022/07/22 07:52:22 - mmengine - INFO - Epoch(train) [11][920/3757] lr: 1.0000e-02 eta: 2 days, 14:19:45 time: 0.5736 data_time: 0.1818 memory: 17350 grad_norm: 5.4597 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1757 loss: 2.1757 2022/07/22 07:52:37 - mmengine - INFO - Epoch(train) [11][940/3757] lr: 1.0000e-02 eta: 2 days, 14:19:41 time: 0.7214 data_time: 0.1707 memory: 17350 grad_norm: 5.5206 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1396 loss: 2.1396 2022/07/22 07:52:49 - mmengine - INFO - Epoch(train) [11][960/3757] lr: 1.0000e-02 eta: 2 days, 14:19:17 time: 0.6051 data_time: 0.1177 memory: 17350 grad_norm: 5.3788 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4441 loss: 2.4441 2022/07/22 07:53:03 - mmengine - INFO - Epoch(train) [11][980/3757] lr: 1.0000e-02 eta: 2 days, 14:19:15 time: 0.7305 data_time: 0.2038 memory: 17350 grad_norm: 5.2287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5013 loss: 2.5013 2022/07/22 07:53:16 - mmengine - INFO - Epoch(train) [11][1000/3757] lr: 1.0000e-02 eta: 2 days, 14:18:53 time: 0.6121 data_time: 0.1347 memory: 17350 grad_norm: 5.4117 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5114 loss: 2.5114 2022/07/22 07:53:30 - mmengine - INFO - Epoch(train) [11][1020/3757] lr: 1.0000e-02 eta: 2 days, 14:18:50 time: 0.7276 data_time: 0.0551 memory: 17350 grad_norm: 5.5456 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5594 loss: 2.5594 2022/07/22 07:53:42 - mmengine - INFO - Epoch(train) [11][1040/3757] lr: 1.0000e-02 eta: 2 days, 14:18:24 time: 0.5918 data_time: 0.0358 memory: 17350 grad_norm: 5.3899 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2169 loss: 2.2169 2022/07/22 07:53:57 - mmengine - INFO - Epoch(train) [11][1060/3757] lr: 1.0000e-02 eta: 2 days, 14:18:22 time: 0.7301 data_time: 0.0503 memory: 17350 grad_norm: 5.4186 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1433 loss: 2.1433 2022/07/22 07:54:09 - mmengine - INFO - Epoch(train) [11][1080/3757] lr: 1.0000e-02 eta: 2 days, 14:17:59 time: 0.6073 data_time: 0.0257 memory: 17350 grad_norm: 5.2772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3360 loss: 2.3360 2022/07/22 07:54:24 - mmengine - INFO - Epoch(train) [11][1100/3757] lr: 1.0000e-02 eta: 2 days, 14:17:57 time: 0.7334 data_time: 0.0269 memory: 17350 grad_norm: 5.3821 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4682 loss: 2.4682 2022/07/22 07:54:36 - mmengine - INFO - Epoch(train) [11][1120/3757] lr: 1.0000e-02 eta: 2 days, 14:17:39 time: 0.6391 data_time: 0.0235 memory: 17350 grad_norm: 5.3401 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3218 loss: 2.3218 2022/07/22 07:54:51 - mmengine - INFO - Epoch(train) [11][1140/3757] lr: 1.0000e-02 eta: 2 days, 14:17:35 time: 0.7192 data_time: 0.0246 memory: 17350 grad_norm: 5.2652 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1914 loss: 2.1914 2022/07/22 07:55:03 - mmengine - INFO - Epoch(train) [11][1160/3757] lr: 1.0000e-02 eta: 2 days, 14:17:10 time: 0.5977 data_time: 0.0197 memory: 17350 grad_norm: 5.4000 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0714 loss: 2.0714 2022/07/22 07:55:18 - mmengine - INFO - Epoch(train) [11][1180/3757] lr: 1.0000e-02 eta: 2 days, 14:17:10 time: 0.7422 data_time: 0.0248 memory: 17350 grad_norm: 5.3959 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0832 loss: 2.0832 2022/07/22 07:55:30 - mmengine - INFO - Epoch(train) [11][1200/3757] lr: 1.0000e-02 eta: 2 days, 14:16:48 time: 0.6173 data_time: 0.0248 memory: 17350 grad_norm: 5.5371 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1928 loss: 2.1928 2022/07/22 07:55:44 - mmengine - INFO - Epoch(train) [11][1220/3757] lr: 1.0000e-02 eta: 2 days, 14:16:43 time: 0.7096 data_time: 0.0234 memory: 17350 grad_norm: 5.4690 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2077 loss: 2.2077 2022/07/22 07:55:57 - mmengine - INFO - Epoch(train) [11][1240/3757] lr: 1.0000e-02 eta: 2 days, 14:16:22 time: 0.6249 data_time: 0.0232 memory: 17350 grad_norm: 5.5700 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5863 loss: 2.5863 2022/07/22 07:56:11 - mmengine - INFO - Epoch(train) [11][1260/3757] lr: 1.0000e-02 eta: 2 days, 14:16:19 time: 0.7230 data_time: 0.0262 memory: 17350 grad_norm: 5.3253 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9166 loss: 1.9166 2022/07/22 07:56:23 - mmengine - INFO - Epoch(train) [11][1280/3757] lr: 1.0000e-02 eta: 2 days, 14:15:52 time: 0.5877 data_time: 0.0241 memory: 17350 grad_norm: 5.4366 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0674 loss: 2.0674 2022/07/22 07:56:38 - mmengine - INFO - Epoch(train) [11][1300/3757] lr: 1.0000e-02 eta: 2 days, 14:15:51 time: 0.7353 data_time: 0.0255 memory: 17350 grad_norm: 5.4335 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2834 loss: 2.2834 2022/07/22 07:56:49 - mmengine - INFO - Epoch(train) [11][1320/3757] lr: 1.0000e-02 eta: 2 days, 14:15:26 time: 0.5951 data_time: 0.0202 memory: 17350 grad_norm: 5.3388 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5811 loss: 2.5811 2022/07/22 07:57:04 - mmengine - INFO - Epoch(train) [11][1340/3757] lr: 1.0000e-02 eta: 2 days, 14:15:19 time: 0.7044 data_time: 0.0232 memory: 17350 grad_norm: 5.2895 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3426 loss: 2.3426 2022/07/22 07:57:15 - mmengine - INFO - Epoch(train) [11][1360/3757] lr: 1.0000e-02 eta: 2 days, 14:14:51 time: 0.5783 data_time: 0.0236 memory: 17350 grad_norm: 5.2497 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1009 loss: 2.1009 2022/07/22 07:57:31 - mmengine - INFO - Epoch(train) [11][1380/3757] lr: 1.0000e-02 eta: 2 days, 14:14:56 time: 0.7717 data_time: 0.0222 memory: 17350 grad_norm: 5.3183 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2038 loss: 2.2038 2022/07/22 07:57:43 - mmengine - INFO - Epoch(train) [11][1400/3757] lr: 1.0000e-02 eta: 2 days, 14:14:34 time: 0.6141 data_time: 0.0215 memory: 17350 grad_norm: 5.3771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0713 loss: 2.0713 2022/07/22 07:57:57 - mmengine - INFO - Epoch(train) [11][1420/3757] lr: 1.0000e-02 eta: 2 days, 14:14:24 time: 0.6874 data_time: 0.0214 memory: 17350 grad_norm: 5.4592 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1793 loss: 2.1793 2022/07/22 07:58:02 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 07:58:08 - mmengine - INFO - Epoch(train) [11][1440/3757] lr: 1.0000e-02 eta: 2 days, 14:13:57 time: 0.5872 data_time: 0.0244 memory: 17350 grad_norm: 5.4392 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3962 loss: 2.3962 2022/07/22 07:58:23 - mmengine - INFO - Epoch(train) [11][1460/3757] lr: 1.0000e-02 eta: 2 days, 14:13:52 time: 0.7146 data_time: 0.0233 memory: 17350 grad_norm: 5.2761 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4612 loss: 2.4612 2022/07/22 07:58:35 - mmengine - INFO - Epoch(train) [11][1480/3757] lr: 1.0000e-02 eta: 2 days, 14:13:33 time: 0.6298 data_time: 0.0234 memory: 17350 grad_norm: 5.3097 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3153 loss: 2.3153 2022/07/22 07:58:49 - mmengine - INFO - Epoch(train) [11][1500/3757] lr: 1.0000e-02 eta: 2 days, 14:13:23 time: 0.6866 data_time: 0.0217 memory: 17350 grad_norm: 5.5494 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3772 loss: 2.3772 2022/07/22 07:59:01 - mmengine - INFO - Epoch(train) [11][1520/3757] lr: 1.0000e-02 eta: 2 days, 14:13:02 time: 0.6208 data_time: 0.0222 memory: 17350 grad_norm: 5.5573 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4913 loss: 2.4913 2022/07/22 07:59:16 - mmengine - INFO - Epoch(train) [11][1540/3757] lr: 1.0000e-02 eta: 2 days, 14:12:57 time: 0.7089 data_time: 0.0226 memory: 17350 grad_norm: 5.3417 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8798 loss: 1.8798 2022/07/22 07:59:29 - mmengine - INFO - Epoch(train) [11][1560/3757] lr: 1.0000e-02 eta: 2 days, 14:12:42 time: 0.6566 data_time: 0.0217 memory: 17350 grad_norm: 5.3659 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1557 loss: 2.1557 2022/07/22 07:59:42 - mmengine - INFO - Epoch(train) [11][1580/3757] lr: 1.0000e-02 eta: 2 days, 14:12:32 time: 0.6866 data_time: 0.0239 memory: 17350 grad_norm: 5.4779 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.3701 loss: 2.3701 2022/07/22 07:59:55 - mmengine - INFO - Epoch(train) [11][1600/3757] lr: 1.0000e-02 eta: 2 days, 14:12:12 time: 0.6285 data_time: 0.0216 memory: 17350 grad_norm: 5.4164 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4668 loss: 2.4668 2022/07/22 08:00:10 - mmengine - INFO - Epoch(train) [11][1620/3757] lr: 1.0000e-02 eta: 2 days, 14:12:11 time: 0.7376 data_time: 0.0234 memory: 17350 grad_norm: 5.2868 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0539 loss: 2.0539 2022/07/22 08:00:22 - mmengine - INFO - Epoch(train) [11][1640/3757] lr: 1.0000e-02 eta: 2 days, 14:11:49 time: 0.6097 data_time: 0.0245 memory: 17350 grad_norm: 5.2136 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1176 loss: 2.1176 2022/07/22 08:00:36 - mmengine - INFO - Epoch(train) [11][1660/3757] lr: 1.0000e-02 eta: 2 days, 14:11:43 time: 0.7079 data_time: 0.0229 memory: 17350 grad_norm: 5.3608 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3271 loss: 2.3271 2022/07/22 08:00:49 - mmengine - INFO - Epoch(train) [11][1680/3757] lr: 1.0000e-02 eta: 2 days, 14:11:29 time: 0.6664 data_time: 0.0219 memory: 17350 grad_norm: 5.3273 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3587 loss: 2.3587 2022/07/22 08:01:03 - mmengine - INFO - Epoch(train) [11][1700/3757] lr: 1.0000e-02 eta: 2 days, 14:11:20 time: 0.6893 data_time: 0.0246 memory: 17350 grad_norm: 5.4910 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2153 loss: 2.2153 2022/07/22 08:01:16 - mmengine - INFO - Epoch(train) [11][1720/3757] lr: 1.0000e-02 eta: 2 days, 14:10:58 time: 0.6156 data_time: 0.0256 memory: 17350 grad_norm: 5.4374 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1410 loss: 2.1410 2022/07/22 08:01:29 - mmengine - INFO - Epoch(train) [11][1740/3757] lr: 1.0000e-02 eta: 2 days, 14:10:50 time: 0.6965 data_time: 0.0228 memory: 17350 grad_norm: 5.2804 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6854 loss: 2.6854 2022/07/22 08:01:42 - mmengine - INFO - Epoch(train) [11][1760/3757] lr: 1.0000e-02 eta: 2 days, 14:10:30 time: 0.6224 data_time: 0.0219 memory: 17350 grad_norm: 5.2956 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1083 loss: 2.1083 2022/07/22 08:01:56 - mmengine - INFO - Epoch(train) [11][1780/3757] lr: 1.0000e-02 eta: 2 days, 14:10:22 time: 0.7004 data_time: 0.0212 memory: 17350 grad_norm: 5.3333 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0931 loss: 2.0931 2022/07/22 08:02:08 - mmengine - INFO - Epoch(train) [11][1800/3757] lr: 1.0000e-02 eta: 2 days, 14:10:00 time: 0.6153 data_time: 0.0218 memory: 17350 grad_norm: 5.2420 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3173 loss: 2.3173 2022/07/22 08:02:23 - mmengine - INFO - Epoch(train) [11][1820/3757] lr: 1.0000e-02 eta: 2 days, 14:09:59 time: 0.7326 data_time: 0.0240 memory: 17350 grad_norm: 5.4084 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7306 loss: 2.7306 2022/07/22 08:02:35 - mmengine - INFO - Epoch(train) [11][1840/3757] lr: 1.0000e-02 eta: 2 days, 14:09:36 time: 0.6125 data_time: 0.0222 memory: 17350 grad_norm: 5.2084 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1342 loss: 2.1342 2022/07/22 08:02:49 - mmengine - INFO - Epoch(train) [11][1860/3757] lr: 1.0000e-02 eta: 2 days, 14:09:31 time: 0.7138 data_time: 0.0234 memory: 17350 grad_norm: 5.4255 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2735 loss: 2.2735 2022/07/22 08:03:02 - mmengine - INFO - Epoch(train) [11][1880/3757] lr: 1.0000e-02 eta: 2 days, 14:09:16 time: 0.6540 data_time: 0.0230 memory: 17350 grad_norm: 5.2332 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2006 loss: 2.2006 2022/07/22 08:03:17 - mmengine - INFO - Epoch(train) [11][1900/3757] lr: 1.0000e-02 eta: 2 days, 14:09:14 time: 0.7300 data_time: 0.0219 memory: 17350 grad_norm: 5.3227 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0702 loss: 2.0702 2022/07/22 08:03:29 - mmengine - INFO - Epoch(train) [11][1920/3757] lr: 1.0000e-02 eta: 2 days, 14:08:50 time: 0.6058 data_time: 0.0233 memory: 17350 grad_norm: 5.2468 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3532 loss: 2.3532 2022/07/22 08:03:43 - mmengine - INFO - Epoch(train) [11][1940/3757] lr: 1.0000e-02 eta: 2 days, 14:08:38 time: 0.6695 data_time: 0.0221 memory: 17350 grad_norm: 5.2904 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7502 loss: 2.7502 2022/07/22 08:03:55 - mmengine - INFO - Epoch(train) [11][1960/3757] lr: 1.0000e-02 eta: 2 days, 14:08:17 time: 0.6209 data_time: 0.0221 memory: 17350 grad_norm: 5.7291 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2495 loss: 2.2495 2022/07/22 08:04:10 - mmengine - INFO - Epoch(train) [11][1980/3757] lr: 1.0000e-02 eta: 2 days, 14:08:16 time: 0.7368 data_time: 0.0228 memory: 17350 grad_norm: 5.3041 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2626 loss: 2.2626 2022/07/22 08:04:22 - mmengine - INFO - Epoch(train) [11][2000/3757] lr: 1.0000e-02 eta: 2 days, 14:07:49 time: 0.5869 data_time: 0.0247 memory: 17350 grad_norm: 5.2422 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0440 loss: 2.0440 2022/07/22 08:04:36 - mmengine - INFO - Epoch(train) [11][2020/3757] lr: 1.0000e-02 eta: 2 days, 14:07:45 time: 0.7234 data_time: 0.0226 memory: 17350 grad_norm: 5.5661 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5270 loss: 2.5270 2022/07/22 08:04:49 - mmengine - INFO - Epoch(train) [11][2040/3757] lr: 1.0000e-02 eta: 2 days, 14:07:26 time: 0.6311 data_time: 0.0221 memory: 17350 grad_norm: 5.4198 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9150 loss: 1.9150 2022/07/22 08:05:03 - mmengine - INFO - Epoch(train) [11][2060/3757] lr: 1.0000e-02 eta: 2 days, 14:07:19 time: 0.7013 data_time: 0.0212 memory: 17350 grad_norm: 5.5170 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1648 loss: 2.1648 2022/07/22 08:05:15 - mmengine - INFO - Epoch(train) [11][2080/3757] lr: 1.0000e-02 eta: 2 days, 14:07:00 time: 0.6292 data_time: 0.0283 memory: 17350 grad_norm: 5.4517 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1197 loss: 2.1197 2022/07/22 08:05:30 - mmengine - INFO - Epoch(train) [11][2100/3757] lr: 1.0000e-02 eta: 2 days, 14:06:59 time: 0.7386 data_time: 0.0230 memory: 17350 grad_norm: 5.4079 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2902 loss: 2.2902 2022/07/22 08:05:42 - mmengine - INFO - Epoch(train) [11][2120/3757] lr: 1.0000e-02 eta: 2 days, 14:06:31 time: 0.5795 data_time: 0.0246 memory: 17350 grad_norm: 5.5062 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2238 loss: 2.2238 2022/07/22 08:05:55 - mmengine - INFO - Epoch(train) [11][2140/3757] lr: 1.0000e-02 eta: 2 days, 14:06:22 time: 0.6895 data_time: 0.0223 memory: 17350 grad_norm: 5.4147 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4706 loss: 2.4706 2022/07/22 08:06:07 - mmengine - INFO - Epoch(train) [11][2160/3757] lr: 1.0000e-02 eta: 2 days, 14:05:54 time: 0.5835 data_time: 0.0239 memory: 17350 grad_norm: 5.4616 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2934 loss: 2.2934 2022/07/22 08:06:21 - mmengine - INFO - Epoch(train) [11][2180/3757] lr: 1.0000e-02 eta: 2 days, 14:05:45 time: 0.6894 data_time: 0.0206 memory: 17350 grad_norm: 5.4123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3700 loss: 2.3700 2022/07/22 08:06:33 - mmengine - INFO - Epoch(train) [11][2200/3757] lr: 1.0000e-02 eta: 2 days, 14:05:26 time: 0.6309 data_time: 0.0256 memory: 17350 grad_norm: 5.3082 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1515 loss: 2.1515 2022/07/22 08:06:48 - mmengine - INFO - Epoch(train) [11][2220/3757] lr: 1.0000e-02 eta: 2 days, 14:05:26 time: 0.7416 data_time: 0.0220 memory: 17350 grad_norm: 5.4558 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0672 loss: 2.0672 2022/07/22 08:07:00 - mmengine - INFO - Epoch(train) [11][2240/3757] lr: 1.0000e-02 eta: 2 days, 14:05:02 time: 0.6025 data_time: 0.0242 memory: 17350 grad_norm: 5.2554 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1521 loss: 2.1521 2022/07/22 08:07:15 - mmengine - INFO - Epoch(train) [11][2260/3757] lr: 1.0000e-02 eta: 2 days, 14:04:59 time: 0.7303 data_time: 0.0255 memory: 17350 grad_norm: 5.4447 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4435 loss: 2.4435 2022/07/22 08:07:27 - mmengine - INFO - Epoch(train) [11][2280/3757] lr: 1.0000e-02 eta: 2 days, 14:04:39 time: 0.6227 data_time: 0.0232 memory: 17350 grad_norm: 5.2930 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1791 loss: 2.1791 2022/07/22 08:07:41 - mmengine - INFO - Epoch(train) [11][2300/3757] lr: 1.0000e-02 eta: 2 days, 14:04:31 time: 0.6981 data_time: 0.0252 memory: 17350 grad_norm: 5.2998 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0104 loss: 2.0104 2022/07/22 08:07:54 - mmengine - INFO - Epoch(train) [11][2320/3757] lr: 1.0000e-02 eta: 2 days, 14:04:15 time: 0.6508 data_time: 0.0249 memory: 17350 grad_norm: 5.5940 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0896 loss: 2.0896 2022/07/22 08:08:09 - mmengine - INFO - Epoch(train) [11][2340/3757] lr: 1.0000e-02 eta: 2 days, 14:04:14 time: 0.7363 data_time: 0.0237 memory: 17350 grad_norm: 5.3844 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3270 loss: 2.3270 2022/07/22 08:08:21 - mmengine - INFO - Epoch(train) [11][2360/3757] lr: 1.0000e-02 eta: 2 days, 14:03:48 time: 0.5884 data_time: 0.0229 memory: 17350 grad_norm: 5.4189 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1082 loss: 2.1082 2022/07/22 08:08:36 - mmengine - INFO - Epoch(train) [11][2380/3757] lr: 1.0000e-02 eta: 2 days, 14:03:46 time: 0.7344 data_time: 0.0249 memory: 17350 grad_norm: 5.4300 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3378 loss: 2.3378 2022/07/22 08:08:48 - mmengine - INFO - Epoch(train) [11][2400/3757] lr: 1.0000e-02 eta: 2 days, 14:03:23 time: 0.6089 data_time: 0.0236 memory: 17350 grad_norm: 5.1525 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3188 loss: 2.3188 2022/07/22 08:09:02 - mmengine - INFO - Epoch(train) [11][2420/3757] lr: 1.0000e-02 eta: 2 days, 14:03:19 time: 0.7202 data_time: 0.0223 memory: 17350 grad_norm: 5.4974 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2236 loss: 2.2236 2022/07/22 08:09:08 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 08:09:14 - mmengine - INFO - Epoch(train) [11][2440/3757] lr: 1.0000e-02 eta: 2 days, 14:02:56 time: 0.6106 data_time: 0.0246 memory: 17350 grad_norm: 5.4242 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1176 loss: 2.1176 2022/07/22 08:09:29 - mmengine - INFO - Epoch(train) [11][2460/3757] lr: 1.0000e-02 eta: 2 days, 14:02:51 time: 0.7138 data_time: 0.0228 memory: 17350 grad_norm: 5.5369 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4202 loss: 2.4202 2022/07/22 08:09:42 - mmengine - INFO - Epoch(train) [11][2480/3757] lr: 1.0000e-02 eta: 2 days, 14:02:34 time: 0.6447 data_time: 0.0254 memory: 17350 grad_norm: 5.3495 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1603 loss: 2.1603 2022/07/22 08:09:55 - mmengine - INFO - Epoch(train) [11][2500/3757] lr: 1.0000e-02 eta: 2 days, 14:02:24 time: 0.6832 data_time: 0.0248 memory: 17350 grad_norm: 5.3403 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0093 loss: 2.0093 2022/07/22 08:10:10 - mmengine - INFO - Epoch(train) [11][2520/3757] lr: 1.0000e-02 eta: 2 days, 14:02:23 time: 0.7371 data_time: 0.0233 memory: 17350 grad_norm: 5.4664 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5196 loss: 2.5196 2022/07/22 08:10:22 - mmengine - INFO - Epoch(train) [11][2540/3757] lr: 1.0000e-02 eta: 2 days, 14:01:57 time: 0.5908 data_time: 0.0236 memory: 17350 grad_norm: 5.3010 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5259 loss: 2.5259 2022/07/22 08:10:37 - mmengine - INFO - Epoch(train) [11][2560/3757] lr: 1.0000e-02 eta: 2 days, 14:01:55 time: 0.7353 data_time: 0.0248 memory: 17350 grad_norm: 5.4349 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0823 loss: 2.0823 2022/07/22 08:10:49 - mmengine - INFO - Epoch(train) [11][2580/3757] lr: 1.0000e-02 eta: 2 days, 14:01:36 time: 0.6266 data_time: 0.0229 memory: 17350 grad_norm: 5.3726 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4548 loss: 2.4548 2022/07/22 08:11:03 - mmengine - INFO - Epoch(train) [11][2600/3757] lr: 1.0000e-02 eta: 2 days, 14:01:27 time: 0.6918 data_time: 0.0213 memory: 17350 grad_norm: 5.5386 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1155 loss: 2.1155 2022/07/22 08:11:15 - mmengine - INFO - Epoch(train) [11][2620/3757] lr: 1.0000e-02 eta: 2 days, 14:01:05 time: 0.6184 data_time: 0.0272 memory: 17350 grad_norm: 5.6514 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0604 loss: 2.0604 2022/07/22 08:11:30 - mmengine - INFO - Epoch(train) [11][2640/3757] lr: 1.0000e-02 eta: 2 days, 14:01:07 time: 0.7556 data_time: 0.0236 memory: 17350 grad_norm: 5.4458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3087 loss: 2.3087 2022/07/22 08:11:42 - mmengine - INFO - Epoch(train) [11][2660/3757] lr: 1.0000e-02 eta: 2 days, 14:00:43 time: 0.6014 data_time: 0.0231 memory: 17350 grad_norm: 5.4129 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1338 loss: 2.1338 2022/07/22 08:11:56 - mmengine - INFO - Epoch(train) [11][2680/3757] lr: 1.0000e-02 eta: 2 days, 14:00:31 time: 0.6736 data_time: 0.0214 memory: 17350 grad_norm: 5.2986 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2584 loss: 2.2584 2022/07/22 08:12:09 - mmengine - INFO - Epoch(train) [11][2700/3757] lr: 1.0000e-02 eta: 2 days, 14:00:13 time: 0.6372 data_time: 0.0213 memory: 17350 grad_norm: 5.2955 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9871 loss: 1.9871 2022/07/22 08:12:23 - mmengine - INFO - Epoch(train) [11][2720/3757] lr: 1.0000e-02 eta: 2 days, 14:00:07 time: 0.7068 data_time: 0.0216 memory: 17350 grad_norm: 5.2375 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8216 loss: 1.8216 2022/07/22 08:12:36 - mmengine - INFO - Epoch(train) [11][2740/3757] lr: 1.0000e-02 eta: 2 days, 13:59:51 time: 0.6528 data_time: 0.0235 memory: 17350 grad_norm: 5.4145 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6294 loss: 2.6294 2022/07/22 08:12:49 - mmengine - INFO - Epoch(train) [11][2760/3757] lr: 1.0000e-02 eta: 2 days, 13:59:38 time: 0.6676 data_time: 0.0236 memory: 17350 grad_norm: 5.4963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8615 loss: 1.8615 2022/07/22 08:13:02 - mmengine - INFO - Epoch(train) [11][2780/3757] lr: 1.0000e-02 eta: 2 days, 13:59:25 time: 0.6649 data_time: 0.0224 memory: 17350 grad_norm: 5.5110 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0392 loss: 2.0392 2022/07/22 08:13:16 - mmengine - INFO - Epoch(train) [11][2800/3757] lr: 1.0000e-02 eta: 2 days, 13:59:13 time: 0.6731 data_time: 0.0228 memory: 17350 grad_norm: 5.4033 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3575 loss: 2.3575 2022/07/22 08:13:30 - mmengine - INFO - Epoch(train) [11][2820/3757] lr: 1.0000e-02 eta: 2 days, 13:59:03 time: 0.6834 data_time: 0.0228 memory: 17350 grad_norm: 5.0834 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9294 loss: 1.9294 2022/07/22 08:13:43 - mmengine - INFO - Epoch(train) [11][2840/3757] lr: 1.0000e-02 eta: 2 days, 13:58:46 time: 0.6443 data_time: 0.0213 memory: 17350 grad_norm: 5.4353 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0149 loss: 2.0149 2022/07/22 08:13:56 - mmengine - INFO - Epoch(train) [11][2860/3757] lr: 1.0000e-02 eta: 2 days, 13:58:35 time: 0.6825 data_time: 0.0261 memory: 17350 grad_norm: 5.3690 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2847 loss: 2.2847 2022/07/22 08:14:09 - mmengine - INFO - Epoch(train) [11][2880/3757] lr: 1.0000e-02 eta: 2 days, 13:58:15 time: 0.6252 data_time: 0.0222 memory: 17350 grad_norm: 5.4190 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9849 loss: 1.9849 2022/07/22 08:14:22 - mmengine - INFO - Epoch(train) [11][2900/3757] lr: 1.0000e-02 eta: 2 days, 13:58:04 time: 0.6752 data_time: 0.0248 memory: 17350 grad_norm: 5.5309 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9995 loss: 1.9995 2022/07/22 08:14:36 - mmengine - INFO - Epoch(train) [11][2920/3757] lr: 1.0000e-02 eta: 2 days, 13:57:53 time: 0.6831 data_time: 0.0231 memory: 17350 grad_norm: 5.4481 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0051 loss: 2.0051 2022/07/22 08:14:49 - mmengine - INFO - Epoch(train) [11][2940/3757] lr: 1.0000e-02 eta: 2 days, 13:57:35 time: 0.6380 data_time: 0.0193 memory: 17350 grad_norm: 5.4016 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2523 loss: 2.2523 2022/07/22 08:15:02 - mmengine - INFO - Epoch(train) [11][2960/3757] lr: 1.0000e-02 eta: 2 days, 13:57:19 time: 0.6484 data_time: 0.0216 memory: 17350 grad_norm: 5.3077 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1868 loss: 2.1868 2022/07/22 08:15:16 - mmengine - INFO - Epoch(train) [11][2980/3757] lr: 1.0000e-02 eta: 2 days, 13:57:12 time: 0.7021 data_time: 0.0286 memory: 17350 grad_norm: 5.2442 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4226 loss: 2.4226 2022/07/22 08:15:29 - mmengine - INFO - Epoch(train) [11][3000/3757] lr: 1.0000e-02 eta: 2 days, 13:57:00 time: 0.6735 data_time: 0.0207 memory: 17350 grad_norm: 5.3760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2727 loss: 2.2727 2022/07/22 08:15:43 - mmengine - INFO - Epoch(train) [11][3020/3757] lr: 1.0000e-02 eta: 2 days, 13:56:49 time: 0.6815 data_time: 0.0241 memory: 17350 grad_norm: 5.4354 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2018 loss: 2.2018 2022/07/22 08:15:56 - mmengine - INFO - Epoch(train) [11][3040/3757] lr: 1.0000e-02 eta: 2 days, 13:56:33 time: 0.6495 data_time: 0.0234 memory: 17350 grad_norm: 5.4980 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5003 loss: 2.5003 2022/07/22 08:16:09 - mmengine - INFO - Epoch(train) [11][3060/3757] lr: 1.0000e-02 eta: 2 days, 13:56:21 time: 0.6683 data_time: 0.0225 memory: 17350 grad_norm: 5.3381 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9831 loss: 1.9831 2022/07/22 08:16:23 - mmengine - INFO - Epoch(train) [11][3080/3757] lr: 1.0000e-02 eta: 2 days, 13:56:10 time: 0.6824 data_time: 0.0211 memory: 17350 grad_norm: 5.3214 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2436 loss: 2.2436 2022/07/22 08:16:35 - mmengine - INFO - Epoch(train) [11][3100/3757] lr: 1.0000e-02 eta: 2 days, 13:55:50 time: 0.6264 data_time: 0.0246 memory: 17350 grad_norm: 5.3567 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5113 loss: 2.5113 2022/07/22 08:16:49 - mmengine - INFO - Epoch(train) [11][3120/3757] lr: 1.0000e-02 eta: 2 days, 13:55:40 time: 0.6853 data_time: 0.0244 memory: 17350 grad_norm: 5.3378 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1945 loss: 2.1945 2022/07/22 08:17:03 - mmengine - INFO - Epoch(train) [11][3140/3757] lr: 1.0000e-02 eta: 2 days, 13:55:33 time: 0.7030 data_time: 0.0246 memory: 17350 grad_norm: 5.3287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5582 loss: 2.5582 2022/07/22 08:17:15 - mmengine - INFO - Epoch(train) [11][3160/3757] lr: 1.0000e-02 eta: 2 days, 13:55:11 time: 0.6114 data_time: 0.0215 memory: 17350 grad_norm: 5.2698 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3187 loss: 2.3187 2022/07/22 08:17:30 - mmengine - INFO - Epoch(train) [11][3180/3757] lr: 1.0000e-02 eta: 2 days, 13:55:10 time: 0.7433 data_time: 0.0225 memory: 17350 grad_norm: 5.3126 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3738 loss: 2.3738 2022/07/22 08:17:43 - mmengine - INFO - Epoch(train) [11][3200/3757] lr: 1.0000e-02 eta: 2 days, 13:54:51 time: 0.6300 data_time: 0.0237 memory: 17350 grad_norm: 5.4236 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1054 loss: 2.1054 2022/07/22 08:17:57 - mmengine - INFO - Epoch(train) [11][3220/3757] lr: 1.0000e-02 eta: 2 days, 13:54:48 time: 0.7246 data_time: 0.0227 memory: 17350 grad_norm: 5.3158 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5008 loss: 2.5008 2022/07/22 08:18:09 - mmengine - INFO - Epoch(train) [11][3240/3757] lr: 1.0000e-02 eta: 2 days, 13:54:24 time: 0.6026 data_time: 0.0233 memory: 17350 grad_norm: 5.4606 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1709 loss: 2.1709 2022/07/22 08:18:24 - mmengine - INFO - Epoch(train) [11][3260/3757] lr: 1.0000e-02 eta: 2 days, 13:54:21 time: 0.7266 data_time: 0.0219 memory: 17350 grad_norm: 5.3126 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0807 loss: 2.0807 2022/07/22 08:18:35 - mmengine - INFO - Epoch(train) [11][3280/3757] lr: 1.0000e-02 eta: 2 days, 13:53:52 time: 0.5705 data_time: 0.0238 memory: 17350 grad_norm: 5.3880 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0336 loss: 2.0336 2022/07/22 08:18:50 - mmengine - INFO - Epoch(train) [11][3300/3757] lr: 1.0000e-02 eta: 2 days, 13:53:49 time: 0.7303 data_time: 0.0216 memory: 17350 grad_norm: 5.3429 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3026 loss: 2.3026 2022/07/22 08:19:02 - mmengine - INFO - Epoch(train) [11][3320/3757] lr: 1.0000e-02 eta: 2 days, 13:53:25 time: 0.6020 data_time: 0.0197 memory: 17350 grad_norm: 5.3832 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2900 loss: 2.2900 2022/07/22 08:19:16 - mmengine - INFO - Epoch(train) [11][3340/3757] lr: 1.0000e-02 eta: 2 days, 13:53:18 time: 0.7029 data_time: 0.0142 memory: 17350 grad_norm: 5.3814 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1295 loss: 2.1295 2022/07/22 08:19:28 - mmengine - INFO - Epoch(train) [11][3360/3757] lr: 1.0000e-02 eta: 2 days, 13:52:55 time: 0.6071 data_time: 0.0210 memory: 17350 grad_norm: 5.4471 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2424 loss: 2.2424 2022/07/22 08:19:43 - mmengine - INFO - Epoch(train) [11][3380/3757] lr: 1.0000e-02 eta: 2 days, 13:52:55 time: 0.7455 data_time: 0.0224 memory: 17350 grad_norm: 5.4313 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3881 loss: 2.3881 2022/07/22 08:19:55 - mmengine - INFO - Epoch(train) [11][3400/3757] lr: 1.0000e-02 eta: 2 days, 13:52:34 time: 0.6158 data_time: 0.0220 memory: 17350 grad_norm: 5.6118 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9671 loss: 1.9671 2022/07/22 08:20:11 - mmengine - INFO - Epoch(train) [11][3420/3757] lr: 1.0000e-02 eta: 2 days, 13:52:38 time: 0.7751 data_time: 0.0214 memory: 17350 grad_norm: 5.3896 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4009 loss: 2.4009 2022/07/22 08:20:17 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 08:20:22 - mmengine - INFO - Epoch(train) [11][3440/3757] lr: 1.0000e-02 eta: 2 days, 13:52:10 time: 0.5761 data_time: 0.0234 memory: 17350 grad_norm: 5.2057 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3758 loss: 2.3758 2022/07/22 08:20:37 - mmengine - INFO - Epoch(train) [11][3460/3757] lr: 1.0000e-02 eta: 2 days, 13:52:06 time: 0.7176 data_time: 0.0249 memory: 17350 grad_norm: 5.4014 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6083 loss: 2.6083 2022/07/22 08:20:49 - mmengine - INFO - Epoch(train) [11][3480/3757] lr: 1.0000e-02 eta: 2 days, 13:51:42 time: 0.6024 data_time: 0.0234 memory: 17350 grad_norm: 5.3472 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1122 loss: 2.1122 2022/07/22 08:21:03 - mmengine - INFO - Epoch(train) [11][3500/3757] lr: 1.0000e-02 eta: 2 days, 13:51:35 time: 0.7017 data_time: 0.0229 memory: 17350 grad_norm: 5.3925 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4150 loss: 2.4150 2022/07/22 08:21:14 - mmengine - INFO - Epoch(train) [11][3520/3757] lr: 1.0000e-02 eta: 2 days, 13:51:07 time: 0.5809 data_time: 0.0370 memory: 17350 grad_norm: 5.1797 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0267 loss: 2.0267 2022/07/22 08:21:28 - mmengine - INFO - Epoch(train) [11][3540/3757] lr: 1.0000e-02 eta: 2 days, 13:51:00 time: 0.7019 data_time: 0.0860 memory: 17350 grad_norm: 5.6144 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4441 loss: 2.4441 2022/07/22 08:21:41 - mmengine - INFO - Epoch(train) [11][3560/3757] lr: 1.0000e-02 eta: 2 days, 13:50:41 time: 0.6309 data_time: 0.0270 memory: 17350 grad_norm: 5.2647 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3174 loss: 2.3174 2022/07/22 08:21:56 - mmengine - INFO - Epoch(train) [11][3580/3757] lr: 1.0000e-02 eta: 2 days, 13:50:41 time: 0.7447 data_time: 0.1369 memory: 17350 grad_norm: 5.3081 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2299 loss: 2.2299 2022/07/22 08:22:08 - mmengine - INFO - Epoch(train) [11][3600/3757] lr: 1.0000e-02 eta: 2 days, 13:50:15 time: 0.5904 data_time: 0.1761 memory: 17350 grad_norm: 5.3194 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5692 loss: 2.5692 2022/07/22 08:22:23 - mmengine - INFO - Epoch(train) [11][3620/3757] lr: 1.0000e-02 eta: 2 days, 13:50:15 time: 0.7466 data_time: 0.0766 memory: 17350 grad_norm: 5.6116 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1646 loss: 2.1646 2022/07/22 08:22:35 - mmengine - INFO - Epoch(train) [11][3640/3757] lr: 1.0000e-02 eta: 2 days, 13:49:52 time: 0.6021 data_time: 0.0217 memory: 17350 grad_norm: 5.3461 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0835 loss: 2.0835 2022/07/22 08:22:49 - mmengine - INFO - Epoch(train) [11][3660/3757] lr: 1.0000e-02 eta: 2 days, 13:49:48 time: 0.7236 data_time: 0.0436 memory: 17350 grad_norm: 5.2361 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8654 loss: 1.8654 2022/07/22 08:23:02 - mmengine - INFO - Epoch(train) [11][3680/3757] lr: 1.0000e-02 eta: 2 days, 13:49:28 time: 0.6253 data_time: 0.0512 memory: 17350 grad_norm: 5.2253 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0329 loss: 2.0329 2022/07/22 08:23:16 - mmengine - INFO - Epoch(train) [11][3700/3757] lr: 1.0000e-02 eta: 2 days, 13:49:20 time: 0.6986 data_time: 0.0218 memory: 17350 grad_norm: 5.3415 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2348 loss: 2.2348 2022/07/22 08:23:27 - mmengine - INFO - Epoch(train) [11][3720/3757] lr: 1.0000e-02 eta: 2 days, 13:48:52 time: 0.5756 data_time: 0.0497 memory: 17350 grad_norm: 5.3805 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2608 loss: 2.2608 2022/07/22 08:23:41 - mmengine - INFO - Epoch(train) [11][3740/3757] lr: 1.0000e-02 eta: 2 days, 13:48:46 time: 0.7082 data_time: 0.0998 memory: 17350 grad_norm: 5.2112 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2740 loss: 2.2740 2022/07/22 08:23:49 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 08:23:49 - mmengine - INFO - Epoch(train) [11][3757/3757] lr: 1.0000e-02 eta: 2 days, 13:48:46 time: 0.4927 data_time: 0.0268 memory: 17350 grad_norm: 5.3590 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.0144 loss: 2.0144 2022/07/22 08:24:06 - mmengine - INFO - Epoch(val) [11][20/310] eta: 0:04:05 time: 0.8463 data_time: 0.7321 memory: 3406 2022/07/22 08:24:17 - mmengine - INFO - Epoch(val) [11][40/310] eta: 0:02:27 time: 0.5471 data_time: 0.4357 memory: 3406 2022/07/22 08:24:32 - mmengine - INFO - Epoch(val) [11][60/310] eta: 0:03:12 time: 0.7711 data_time: 0.6516 memory: 3406 2022/07/22 08:24:43 - mmengine - INFO - Epoch(val) [11][80/310] eta: 0:02:00 time: 0.5244 data_time: 0.4123 memory: 3406 2022/07/22 08:24:58 - mmengine - INFO - Epoch(val) [11][100/310] eta: 0:02:44 time: 0.7819 data_time: 0.6700 memory: 3406 2022/07/22 08:25:10 - mmengine - INFO - Epoch(val) [11][120/310] eta: 0:01:46 time: 0.5629 data_time: 0.4506 memory: 3406 2022/07/22 08:25:25 - mmengine - INFO - Epoch(val) [11][140/310] eta: 0:02:07 time: 0.7493 data_time: 0.6357 memory: 3406 2022/07/22 08:25:36 - mmengine - INFO - Epoch(val) [11][160/310] eta: 0:01:23 time: 0.5574 data_time: 0.4449 memory: 3406 2022/07/22 08:25:51 - mmengine - INFO - Epoch(val) [11][180/310] eta: 0:01:37 time: 0.7482 data_time: 0.6350 memory: 3406 2022/07/22 08:26:02 - mmengine - INFO - Epoch(val) [11][200/310] eta: 0:01:01 time: 0.5627 data_time: 0.4508 memory: 3406 2022/07/22 08:26:17 - mmengine - INFO - Epoch(val) [11][220/310] eta: 0:01:06 time: 0.7335 data_time: 0.6173 memory: 3406 2022/07/22 08:26:29 - mmengine - INFO - Epoch(val) [11][240/310] eta: 0:00:41 time: 0.5948 data_time: 0.4816 memory: 3406 2022/07/22 08:26:43 - mmengine - INFO - Epoch(val) [11][260/310] eta: 0:00:36 time: 0.7388 data_time: 0.6265 memory: 3406 2022/07/22 08:26:55 - mmengine - INFO - Epoch(val) [11][280/310] eta: 0:00:17 time: 0.5846 data_time: 0.4726 memory: 3406 2022/07/22 08:27:09 - mmengine - INFO - Epoch(val) [11][300/310] eta: 0:00:07 time: 0.7178 data_time: 0.6047 memory: 3406 2022/07/22 08:27:15 - mmengine - INFO - Epoch(val) [11][310/310] acc/top1: 0.5250 acc/top5: 0.7817 acc/mean1: 0.5248 2022/07/22 08:27:15 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_11.pth is removed 2022/07/22 08:27:19 - mmengine - INFO - The best checkpoint with 0.5250 acc/top1 at 12 epoch is saved to best_acc/top1_epoch_12.pth. 2022/07/22 08:27:34 - mmengine - INFO - Epoch(train) [12][20/3757] lr: 1.0000e-02 eta: 2 days, 13:47:03 time: 0.7480 data_time: 0.4138 memory: 17350 grad_norm: 5.2425 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2250 loss: 2.2250 2022/07/22 08:27:46 - mmengine - INFO - Epoch(train) [12][40/3757] lr: 1.0000e-02 eta: 2 days, 13:46:37 time: 0.5844 data_time: 0.2565 memory: 17350 grad_norm: 5.2474 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4541 loss: 2.4541 2022/07/22 08:28:00 - mmengine - INFO - Epoch(train) [12][60/3757] lr: 1.0000e-02 eta: 2 days, 13:46:31 time: 0.7121 data_time: 0.3822 memory: 17350 grad_norm: 5.1889 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2909 loss: 2.2909 2022/07/22 08:28:12 - mmengine - INFO - Epoch(train) [12][80/3757] lr: 1.0000e-02 eta: 2 days, 13:46:07 time: 0.6031 data_time: 0.2760 memory: 17350 grad_norm: 5.2389 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2241 loss: 2.2241 2022/07/22 08:28:27 - mmengine - INFO - Epoch(train) [12][100/3757] lr: 1.0000e-02 eta: 2 days, 13:46:04 time: 0.7267 data_time: 0.4101 memory: 17350 grad_norm: 5.4084 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4884 loss: 2.4884 2022/07/22 08:28:39 - mmengine - INFO - Epoch(train) [12][120/3757] lr: 1.0000e-02 eta: 2 days, 13:45:43 time: 0.6192 data_time: 0.2985 memory: 17350 grad_norm: 5.3344 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2336 loss: 2.2336 2022/07/22 08:28:54 - mmengine - INFO - Epoch(train) [12][140/3757] lr: 1.0000e-02 eta: 2 days, 13:45:40 time: 0.7256 data_time: 0.4064 memory: 17350 grad_norm: 5.5166 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4271 loss: 2.4271 2022/07/22 08:29:06 - mmengine - INFO - Epoch(train) [12][160/3757] lr: 1.0000e-02 eta: 2 days, 13:45:16 time: 0.6012 data_time: 0.2734 memory: 17350 grad_norm: 5.4039 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5607 loss: 2.5607 2022/07/22 08:29:20 - mmengine - INFO - Epoch(train) [12][180/3757] lr: 1.0000e-02 eta: 2 days, 13:45:12 time: 0.7202 data_time: 0.3501 memory: 17350 grad_norm: 5.3516 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3081 loss: 2.3081 2022/07/22 08:29:33 - mmengine - INFO - Epoch(train) [12][200/3757] lr: 1.0000e-02 eta: 2 days, 13:44:58 time: 0.6658 data_time: 0.2279 memory: 17350 grad_norm: 5.4052 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0904 loss: 2.0904 2022/07/22 08:29:47 - mmengine - INFO - Epoch(train) [12][220/3757] lr: 1.0000e-02 eta: 2 days, 13:44:46 time: 0.6685 data_time: 0.2184 memory: 17350 grad_norm: 5.1601 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0750 loss: 2.0750 2022/07/22 08:29:59 - mmengine - INFO - Epoch(train) [12][240/3757] lr: 1.0000e-02 eta: 2 days, 13:44:28 time: 0.6361 data_time: 0.1755 memory: 17350 grad_norm: 5.2913 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1133 loss: 2.1133 2022/07/22 08:30:14 - mmengine - INFO - Epoch(train) [12][260/3757] lr: 1.0000e-02 eta: 2 days, 13:44:25 time: 0.7323 data_time: 0.3675 memory: 17350 grad_norm: 5.3974 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4457 loss: 2.4457 2022/07/22 08:30:27 - mmengine - INFO - Epoch(train) [12][280/3757] lr: 1.0000e-02 eta: 2 days, 13:44:10 time: 0.6542 data_time: 0.2093 memory: 17350 grad_norm: 5.3034 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1653 loss: 2.1653 2022/07/22 08:30:42 - mmengine - INFO - Epoch(train) [12][300/3757] lr: 1.0000e-02 eta: 2 days, 13:44:08 time: 0.7327 data_time: 0.2918 memory: 17350 grad_norm: 5.3440 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2764 loss: 2.2764 2022/07/22 08:30:54 - mmengine - INFO - Epoch(train) [12][320/3757] lr: 1.0000e-02 eta: 2 days, 13:43:47 time: 0.6198 data_time: 0.2548 memory: 17350 grad_norm: 5.3588 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2743 loss: 2.2743 2022/07/22 08:31:08 - mmengine - INFO - Epoch(train) [12][340/3757] lr: 1.0000e-02 eta: 2 days, 13:43:37 time: 0.6876 data_time: 0.3473 memory: 17350 grad_norm: 5.4531 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1984 loss: 2.1984 2022/07/22 08:31:21 - mmengine - INFO - Epoch(train) [12][360/3757] lr: 1.0000e-02 eta: 2 days, 13:43:18 time: 0.6255 data_time: 0.2829 memory: 17350 grad_norm: 5.5826 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2120 loss: 2.2120 2022/07/22 08:31:36 - mmengine - INFO - Epoch(train) [12][380/3757] lr: 1.0000e-02 eta: 2 days, 13:43:19 time: 0.7561 data_time: 0.4268 memory: 17350 grad_norm: 5.3812 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3561 loss: 2.3561 2022/07/22 08:31:47 - mmengine - INFO - Epoch(train) [12][400/3757] lr: 1.0000e-02 eta: 2 days, 13:42:52 time: 0.5821 data_time: 0.2508 memory: 17350 grad_norm: 5.3547 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1115 loss: 2.1115 2022/07/22 08:32:02 - mmengine - INFO - Epoch(train) [12][420/3757] lr: 1.0000e-02 eta: 2 days, 13:42:49 time: 0.7267 data_time: 0.3324 memory: 17350 grad_norm: 5.3562 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4186 loss: 2.4186 2022/07/22 08:32:14 - mmengine - INFO - Epoch(train) [12][440/3757] lr: 1.0000e-02 eta: 2 days, 13:42:31 time: 0.6342 data_time: 0.1678 memory: 17350 grad_norm: 5.4209 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1579 loss: 2.1579 2022/07/22 08:32:28 - mmengine - INFO - Epoch(train) [12][460/3757] lr: 1.0000e-02 eta: 2 days, 13:42:15 time: 0.6507 data_time: 0.2272 memory: 17350 grad_norm: 5.3661 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0375 loss: 2.0375 2022/07/22 08:32:41 - mmengine - INFO - Epoch(train) [12][480/3757] lr: 1.0000e-02 eta: 2 days, 13:42:04 time: 0.6809 data_time: 0.1864 memory: 17350 grad_norm: 5.2072 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2665 loss: 2.2665 2022/07/22 08:32:54 - mmengine - INFO - Epoch(train) [12][500/3757] lr: 1.0000e-02 eta: 2 days, 13:41:44 time: 0.6253 data_time: 0.1710 memory: 17350 grad_norm: 5.2515 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1149 loss: 2.1149 2022/07/22 08:33:08 - mmengine - INFO - Epoch(train) [12][520/3757] lr: 1.0000e-02 eta: 2 days, 13:41:38 time: 0.7105 data_time: 0.2040 memory: 17350 grad_norm: 5.3779 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2793 loss: 2.2793 2022/07/22 08:33:20 - mmengine - INFO - Epoch(train) [12][540/3757] lr: 1.0000e-02 eta: 2 days, 13:41:15 time: 0.6014 data_time: 0.1954 memory: 17350 grad_norm: 5.4618 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8691 loss: 1.8691 2022/07/22 08:33:34 - mmengine - INFO - Epoch(train) [12][560/3757] lr: 1.0000e-02 eta: 2 days, 13:41:12 time: 0.7285 data_time: 0.2907 memory: 17350 grad_norm: 5.3895 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4160 loss: 2.4160 2022/07/22 08:33:46 - mmengine - INFO - Epoch(train) [12][580/3757] lr: 1.0000e-02 eta: 2 days, 13:40:47 time: 0.5961 data_time: 0.2325 memory: 17350 grad_norm: 5.3926 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0486 loss: 2.0486 2022/07/22 08:34:01 - mmengine - INFO - Epoch(train) [12][600/3757] lr: 1.0000e-02 eta: 2 days, 13:40:42 time: 0.7133 data_time: 0.3498 memory: 17350 grad_norm: 5.3751 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1493 loss: 2.1493 2022/07/22 08:34:13 - mmengine - INFO - Epoch(train) [12][620/3757] lr: 1.0000e-02 eta: 2 days, 13:40:21 time: 0.6211 data_time: 0.2341 memory: 17350 grad_norm: 5.4974 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0744 loss: 2.0744 2022/07/22 08:34:28 - mmengine - INFO - Epoch(train) [12][640/3757] lr: 1.0000e-02 eta: 2 days, 13:40:24 time: 0.7679 data_time: 0.2260 memory: 17350 grad_norm: 5.2888 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0590 loss: 2.0590 2022/07/22 08:34:41 - mmengine - INFO - Epoch(train) [12][660/3757] lr: 1.0000e-02 eta: 2 days, 13:40:04 time: 0.6229 data_time: 0.0961 memory: 17350 grad_norm: 5.2951 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0828 loss: 2.0828 2022/07/22 08:34:50 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 08:34:55 - mmengine - INFO - Epoch(train) [12][680/3757] lr: 1.0000e-02 eta: 2 days, 13:40:00 time: 0.7190 data_time: 0.0458 memory: 17350 grad_norm: 5.4134 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2678 loss: 2.2678 2022/07/22 08:35:08 - mmengine - INFO - Epoch(train) [12][700/3757] lr: 1.0000e-02 eta: 2 days, 13:39:41 time: 0.6304 data_time: 0.0232 memory: 17350 grad_norm: 5.4133 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1922 loss: 2.1922 2022/07/22 08:35:22 - mmengine - INFO - Epoch(train) [12][720/3757] lr: 1.0000e-02 eta: 2 days, 13:39:36 time: 0.7199 data_time: 0.0223 memory: 17350 grad_norm: 5.4117 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1234 loss: 2.1234 2022/07/22 08:35:34 - mmengine - INFO - Epoch(train) [12][740/3757] lr: 1.0000e-02 eta: 2 days, 13:39:13 time: 0.6038 data_time: 0.0228 memory: 17350 grad_norm: 5.3108 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1423 loss: 2.1423 2022/07/22 08:35:49 - mmengine - INFO - Epoch(train) [12][760/3757] lr: 1.0000e-02 eta: 2 days, 13:39:12 time: 0.7450 data_time: 0.0134 memory: 17350 grad_norm: 5.3269 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2595 loss: 2.2595 2022/07/22 08:36:01 - mmengine - INFO - Epoch(train) [12][780/3757] lr: 1.0000e-02 eta: 2 days, 13:38:47 time: 0.5915 data_time: 0.0324 memory: 17350 grad_norm: 5.5793 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1515 loss: 2.1515 2022/07/22 08:36:16 - mmengine - INFO - Epoch(train) [12][800/3757] lr: 1.0000e-02 eta: 2 days, 13:38:46 time: 0.7382 data_time: 0.0190 memory: 17350 grad_norm: 5.3842 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9892 loss: 1.9892 2022/07/22 08:36:27 - mmengine - INFO - Epoch(train) [12][820/3757] lr: 1.0000e-02 eta: 2 days, 13:38:16 time: 0.5601 data_time: 0.0247 memory: 17350 grad_norm: 5.4031 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1062 loss: 2.1062 2022/07/22 08:36:42 - mmengine - INFO - Epoch(train) [12][840/3757] lr: 1.0000e-02 eta: 2 days, 13:38:12 time: 0.7280 data_time: 0.0242 memory: 17350 grad_norm: 5.3067 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2210 loss: 2.2210 2022/07/22 08:36:54 - mmengine - INFO - Epoch(train) [12][860/3757] lr: 1.0000e-02 eta: 2 days, 13:37:48 time: 0.5935 data_time: 0.0218 memory: 17350 grad_norm: 5.3344 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2422 loss: 2.2422 2022/07/22 08:37:09 - mmengine - INFO - Epoch(train) [12][880/3757] lr: 1.0000e-02 eta: 2 days, 13:37:51 time: 0.7708 data_time: 0.0226 memory: 17350 grad_norm: 5.2398 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2827 loss: 2.2827 2022/07/22 08:37:20 - mmengine - INFO - Epoch(train) [12][900/3757] lr: 1.0000e-02 eta: 2 days, 13:37:24 time: 0.5758 data_time: 0.0297 memory: 17350 grad_norm: 5.2591 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2518 loss: 2.2518 2022/07/22 08:37:35 - mmengine - INFO - Epoch(train) [12][920/3757] lr: 1.0000e-02 eta: 2 days, 13:37:20 time: 0.7298 data_time: 0.0219 memory: 17350 grad_norm: 5.6024 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3154 loss: 2.3154 2022/07/22 08:37:47 - mmengine - INFO - Epoch(train) [12][940/3757] lr: 1.0000e-02 eta: 2 days, 13:36:57 time: 0.6031 data_time: 0.0242 memory: 17350 grad_norm: 5.3558 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0348 loss: 2.0348 2022/07/22 08:38:02 - mmengine - INFO - Epoch(train) [12][960/3757] lr: 1.0000e-02 eta: 2 days, 13:36:55 time: 0.7371 data_time: 0.0207 memory: 17350 grad_norm: 5.4299 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1210 loss: 2.1210 2022/07/22 08:38:14 - mmengine - INFO - Epoch(train) [12][980/3757] lr: 1.0000e-02 eta: 2 days, 13:36:33 time: 0.6104 data_time: 0.0236 memory: 17350 grad_norm: 5.3261 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1800 loss: 2.1800 2022/07/22 08:38:29 - mmengine - INFO - Epoch(train) [12][1000/3757] lr: 1.0000e-02 eta: 2 days, 13:36:34 time: 0.7529 data_time: 0.0209 memory: 17350 grad_norm: 5.5463 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1492 loss: 2.1492 2022/07/22 08:38:41 - mmengine - INFO - Epoch(train) [12][1020/3757] lr: 1.0000e-02 eta: 2 days, 13:36:10 time: 0.5979 data_time: 0.0233 memory: 17350 grad_norm: 5.5468 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4483 loss: 2.4483 2022/07/22 08:38:55 - mmengine - INFO - Epoch(train) [12][1040/3757] lr: 1.0000e-02 eta: 2 days, 13:36:01 time: 0.6959 data_time: 0.0206 memory: 17350 grad_norm: 5.3419 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8866 loss: 1.8866 2022/07/22 08:39:07 - mmengine - INFO - Epoch(train) [12][1060/3757] lr: 1.0000e-02 eta: 2 days, 13:35:37 time: 0.5964 data_time: 0.0235 memory: 17350 grad_norm: 5.2923 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7892 loss: 1.7892 2022/07/22 08:39:22 - mmengine - INFO - Epoch(train) [12][1080/3757] lr: 1.0000e-02 eta: 2 days, 13:35:37 time: 0.7452 data_time: 0.0204 memory: 17350 grad_norm: 5.4596 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2036 loss: 2.2036 2022/07/22 08:39:33 - mmengine - INFO - Epoch(train) [12][1100/3757] lr: 1.0000e-02 eta: 2 days, 13:35:07 time: 0.5607 data_time: 0.0236 memory: 17350 grad_norm: 5.2489 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2077 loss: 2.2077 2022/07/22 08:39:48 - mmengine - INFO - Epoch(train) [12][1120/3757] lr: 1.0000e-02 eta: 2 days, 13:35:05 time: 0.7390 data_time: 0.0230 memory: 17350 grad_norm: 5.5181 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1045 loss: 2.1045 2022/07/22 08:40:00 - mmengine - INFO - Epoch(train) [12][1140/3757] lr: 1.0000e-02 eta: 2 days, 13:34:45 time: 0.6190 data_time: 0.0218 memory: 17350 grad_norm: 5.4850 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2024 loss: 2.2024 2022/07/22 08:40:15 - mmengine - INFO - Epoch(train) [12][1160/3757] lr: 1.0000e-02 eta: 2 days, 13:34:43 time: 0.7420 data_time: 0.0226 memory: 17350 grad_norm: 5.3617 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1885 loss: 2.1885 2022/07/22 08:40:27 - mmengine - INFO - Epoch(train) [12][1180/3757] lr: 1.0000e-02 eta: 2 days, 13:34:23 time: 0.6186 data_time: 0.0243 memory: 17350 grad_norm: 5.3108 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1573 loss: 2.1573 2022/07/22 08:40:42 - mmengine - INFO - Epoch(train) [12][1200/3757] lr: 1.0000e-02 eta: 2 days, 13:34:17 time: 0.7162 data_time: 0.0217 memory: 17350 grad_norm: 5.1730 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7588 loss: 1.7588 2022/07/22 08:40:54 - mmengine - INFO - Epoch(train) [12][1220/3757] lr: 1.0000e-02 eta: 2 days, 13:33:56 time: 0.6148 data_time: 0.0228 memory: 17350 grad_norm: 5.2935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0258 loss: 2.0258 2022/07/22 08:41:09 - mmengine - INFO - Epoch(train) [12][1240/3757] lr: 1.0000e-02 eta: 2 days, 13:33:53 time: 0.7291 data_time: 0.0215 memory: 17350 grad_norm: 5.2011 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9705 loss: 1.9705 2022/07/22 08:41:21 - mmengine - INFO - Epoch(train) [12][1260/3757] lr: 1.0000e-02 eta: 2 days, 13:33:33 time: 0.6262 data_time: 0.0355 memory: 17350 grad_norm: 5.2337 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9684 loss: 1.9684 2022/07/22 08:41:35 - mmengine - INFO - Epoch(train) [12][1280/3757] lr: 1.0000e-02 eta: 2 days, 13:33:25 time: 0.6942 data_time: 0.0232 memory: 17350 grad_norm: 5.4867 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9953 loss: 1.9953 2022/07/22 08:41:47 - mmengine - INFO - Epoch(train) [12][1300/3757] lr: 1.0000e-02 eta: 2 days, 13:33:00 time: 0.5901 data_time: 0.0223 memory: 17350 grad_norm: 5.4717 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2852 loss: 2.2852 2022/07/22 08:42:01 - mmengine - INFO - Epoch(train) [12][1320/3757] lr: 1.0000e-02 eta: 2 days, 13:32:54 time: 0.7147 data_time: 0.0206 memory: 17350 grad_norm: 5.3041 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3683 loss: 2.3683 2022/07/22 08:42:14 - mmengine - INFO - Epoch(train) [12][1340/3757] lr: 1.0000e-02 eta: 2 days, 13:32:34 time: 0.6236 data_time: 0.0255 memory: 17350 grad_norm: 5.3729 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2789 loss: 2.2789 2022/07/22 08:42:28 - mmengine - INFO - Epoch(train) [12][1360/3757] lr: 1.0000e-02 eta: 2 days, 13:32:30 time: 0.7244 data_time: 0.0211 memory: 17350 grad_norm: 5.3652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2088 loss: 2.2088 2022/07/22 08:42:40 - mmengine - INFO - Epoch(train) [12][1380/3757] lr: 1.0000e-02 eta: 2 days, 13:32:09 time: 0.6163 data_time: 0.0216 memory: 17350 grad_norm: 5.2000 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2035 loss: 2.2035 2022/07/22 08:42:55 - mmengine - INFO - Epoch(train) [12][1400/3757] lr: 1.0000e-02 eta: 2 days, 13:32:04 time: 0.7193 data_time: 0.0248 memory: 17350 grad_norm: 5.3384 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8684 loss: 1.8684 2022/07/22 08:43:07 - mmengine - INFO - Epoch(train) [12][1420/3757] lr: 1.0000e-02 eta: 2 days, 13:31:43 time: 0.6114 data_time: 0.0245 memory: 17350 grad_norm: 5.3478 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9181 loss: 1.9181 2022/07/22 08:43:22 - mmengine - INFO - Epoch(train) [12][1440/3757] lr: 1.0000e-02 eta: 2 days, 13:31:40 time: 0.7362 data_time: 0.0209 memory: 17350 grad_norm: 5.4109 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3954 loss: 2.3954 2022/07/22 08:43:34 - mmengine - INFO - Epoch(train) [12][1460/3757] lr: 1.0000e-02 eta: 2 days, 13:31:16 time: 0.5969 data_time: 0.0226 memory: 17350 grad_norm: 5.4248 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4986 loss: 2.4986 2022/07/22 08:43:48 - mmengine - INFO - Epoch(train) [12][1480/3757] lr: 1.0000e-02 eta: 2 days, 13:31:12 time: 0.7201 data_time: 0.0254 memory: 17350 grad_norm: 5.4052 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8336 loss: 1.8336 2022/07/22 08:44:00 - mmengine - INFO - Epoch(train) [12][1500/3757] lr: 1.0000e-02 eta: 2 days, 13:30:44 time: 0.5728 data_time: 0.0209 memory: 17350 grad_norm: 5.5175 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2443 loss: 2.2443 2022/07/22 08:44:15 - mmengine - INFO - Epoch(train) [12][1520/3757] lr: 1.0000e-02 eta: 2 days, 13:30:44 time: 0.7520 data_time: 0.0230 memory: 17350 grad_norm: 5.2468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1210 loss: 2.1210 2022/07/22 08:44:26 - mmengine - INFO - Epoch(train) [12][1540/3757] lr: 1.0000e-02 eta: 2 days, 13:30:15 time: 0.5624 data_time: 0.0229 memory: 17350 grad_norm: 5.3813 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1950 loss: 2.1950 2022/07/22 08:44:41 - mmengine - INFO - Epoch(train) [12][1560/3757] lr: 1.0000e-02 eta: 2 days, 13:30:13 time: 0.7384 data_time: 0.0219 memory: 17350 grad_norm: 5.2646 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2710 loss: 2.2710 2022/07/22 08:44:52 - mmengine - INFO - Epoch(train) [12][1580/3757] lr: 1.0000e-02 eta: 2 days, 13:29:45 time: 0.5713 data_time: 0.0231 memory: 17350 grad_norm: 5.2846 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1609 loss: 2.1609 2022/07/22 08:45:08 - mmengine - INFO - Epoch(train) [12][1600/3757] lr: 1.0000e-02 eta: 2 days, 13:29:49 time: 0.7769 data_time: 0.0228 memory: 17350 grad_norm: 5.5132 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1141 loss: 2.1141 2022/07/22 08:45:20 - mmengine - INFO - Epoch(train) [12][1620/3757] lr: 1.0000e-02 eta: 2 days, 13:29:26 time: 0.6049 data_time: 0.0233 memory: 17350 grad_norm: 5.6391 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1002 loss: 2.1002 2022/07/22 08:45:34 - mmengine - INFO - Epoch(train) [12][1640/3757] lr: 1.0000e-02 eta: 2 days, 13:29:20 time: 0.7136 data_time: 0.0210 memory: 17350 grad_norm: 5.4255 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2740 loss: 2.2740 2022/07/22 08:45:46 - mmengine - INFO - Epoch(train) [12][1660/3757] lr: 1.0000e-02 eta: 2 days, 13:28:58 time: 0.6059 data_time: 0.0225 memory: 17350 grad_norm: 5.4272 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5351 loss: 2.5351 2022/07/22 08:45:55 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 08:46:00 - mmengine - INFO - Epoch(train) [12][1680/3757] lr: 1.0000e-02 eta: 2 days, 13:28:48 time: 0.6890 data_time: 0.0475 memory: 17350 grad_norm: 5.2931 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0896 loss: 2.0896 2022/07/22 08:46:13 - mmengine - INFO - Epoch(train) [12][1700/3757] lr: 1.0000e-02 eta: 2 days, 13:28:30 time: 0.6357 data_time: 0.0379 memory: 17350 grad_norm: 5.2529 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0739 loss: 2.0739 2022/07/22 08:46:27 - mmengine - INFO - Epoch(train) [12][1720/3757] lr: 1.0000e-02 eta: 2 days, 13:28:24 time: 0.7112 data_time: 0.0213 memory: 17350 grad_norm: 5.4420 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4998 loss: 2.4998 2022/07/22 08:46:40 - mmengine - INFO - Epoch(train) [12][1740/3757] lr: 1.0000e-02 eta: 2 days, 13:28:07 time: 0.6375 data_time: 0.0237 memory: 17350 grad_norm: 5.2349 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2278 loss: 2.2278 2022/07/22 08:46:55 - mmengine - INFO - Epoch(train) [12][1760/3757] lr: 1.0000e-02 eta: 2 days, 13:28:11 time: 0.7799 data_time: 0.0209 memory: 17350 grad_norm: 5.4545 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1741 loss: 2.1741 2022/07/22 08:47:07 - mmengine - INFO - Epoch(train) [12][1780/3757] lr: 1.0000e-02 eta: 2 days, 13:27:46 time: 0.5876 data_time: 0.0228 memory: 17350 grad_norm: 5.3628 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7236 loss: 1.7236 2022/07/22 08:47:20 - mmengine - INFO - Epoch(train) [12][1800/3757] lr: 1.0000e-02 eta: 2 days, 13:27:32 time: 0.6631 data_time: 0.0178 memory: 17350 grad_norm: 5.4248 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4573 loss: 2.4573 2022/07/22 08:47:32 - mmengine - INFO - Epoch(train) [12][1820/3757] lr: 1.0000e-02 eta: 2 days, 13:27:09 time: 0.5996 data_time: 0.0236 memory: 17350 grad_norm: 5.3512 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0740 loss: 2.0740 2022/07/22 08:47:47 - mmengine - INFO - Epoch(train) [12][1840/3757] lr: 1.0000e-02 eta: 2 days, 13:27:09 time: 0.7561 data_time: 0.0222 memory: 17350 grad_norm: 5.3547 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2832 loss: 2.2832 2022/07/22 08:47:59 - mmengine - INFO - Epoch(train) [12][1860/3757] lr: 1.0000e-02 eta: 2 days, 13:26:46 time: 0.5991 data_time: 0.0244 memory: 17350 grad_norm: 5.3033 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2787 loss: 2.2787 2022/07/22 08:48:13 - mmengine - INFO - Epoch(train) [12][1880/3757] lr: 1.0000e-02 eta: 2 days, 13:26:38 time: 0.6976 data_time: 0.0226 memory: 17350 grad_norm: 5.4214 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0635 loss: 2.0635 2022/07/22 08:48:26 - mmengine - INFO - Epoch(train) [12][1900/3757] lr: 1.0000e-02 eta: 2 days, 13:26:17 time: 0.6156 data_time: 0.0231 memory: 17350 grad_norm: 5.4734 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8126 loss: 1.8126 2022/07/22 08:48:40 - mmengine - INFO - Epoch(train) [12][1920/3757] lr: 1.0000e-02 eta: 2 days, 13:26:12 time: 0.7231 data_time: 0.0219 memory: 17350 grad_norm: 5.3957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8537 loss: 1.8537 2022/07/22 08:48:52 - mmengine - INFO - Epoch(train) [12][1940/3757] lr: 1.0000e-02 eta: 2 days, 13:25:50 time: 0.6056 data_time: 0.0238 memory: 17350 grad_norm: 5.3944 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9762 loss: 1.9762 2022/07/22 08:49:06 - mmengine - INFO - Epoch(train) [12][1960/3757] lr: 1.0000e-02 eta: 2 days, 13:25:43 time: 0.7059 data_time: 0.0215 memory: 17350 grad_norm: 5.4947 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0194 loss: 2.0194 2022/07/22 08:49:21 - mmengine - INFO - Epoch(train) [12][1980/3757] lr: 1.0000e-02 eta: 2 days, 13:25:36 time: 0.7098 data_time: 0.0242 memory: 17350 grad_norm: 5.4010 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.0152 loss: 2.0152 2022/07/22 08:49:32 - mmengine - INFO - Epoch(train) [12][2000/3757] lr: 1.0000e-02 eta: 2 days, 13:25:09 time: 0.5756 data_time: 0.0208 memory: 17350 grad_norm: 5.4327 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0315 loss: 2.0315 2022/07/22 08:49:48 - mmengine - INFO - Epoch(train) [12][2020/3757] lr: 1.0000e-02 eta: 2 days, 13:25:13 time: 0.7784 data_time: 0.0226 memory: 17350 grad_norm: 5.4154 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3911 loss: 2.3911 2022/07/22 08:49:59 - mmengine - INFO - Epoch(train) [12][2040/3757] lr: 1.0000e-02 eta: 2 days, 13:24:48 time: 0.5898 data_time: 0.0259 memory: 17350 grad_norm: 5.3609 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1846 loss: 2.1846 2022/07/22 08:50:14 - mmengine - INFO - Epoch(train) [12][2060/3757] lr: 1.0000e-02 eta: 2 days, 13:24:45 time: 0.7279 data_time: 0.0207 memory: 17350 grad_norm: 5.5134 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2683 loss: 2.2683 2022/07/22 08:50:26 - mmengine - INFO - Epoch(train) [12][2080/3757] lr: 1.0000e-02 eta: 2 days, 13:24:23 time: 0.6141 data_time: 0.0234 memory: 17350 grad_norm: 5.4185 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0784 loss: 2.0784 2022/07/22 08:50:40 - mmengine - INFO - Epoch(train) [12][2100/3757] lr: 1.0000e-02 eta: 2 days, 13:24:14 time: 0.6892 data_time: 0.0237 memory: 17350 grad_norm: 5.5208 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2795 loss: 2.2795 2022/07/22 08:50:53 - mmengine - INFO - Epoch(train) [12][2120/3757] lr: 1.0000e-02 eta: 2 days, 13:23:59 time: 0.6579 data_time: 0.0226 memory: 17350 grad_norm: 5.3882 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1783 loss: 2.1783 2022/07/22 08:51:06 - mmengine - INFO - Epoch(train) [12][2140/3757] lr: 1.0000e-02 eta: 2 days, 13:23:42 time: 0.6414 data_time: 0.0223 memory: 17350 grad_norm: 5.5474 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0053 loss: 2.0053 2022/07/22 08:51:20 - mmengine - INFO - Epoch(train) [12][2160/3757] lr: 1.0000e-02 eta: 2 days, 13:23:36 time: 0.7085 data_time: 0.0204 memory: 17350 grad_norm: 5.3833 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2226 loss: 2.2226 2022/07/22 08:51:34 - mmengine - INFO - Epoch(train) [12][2180/3757] lr: 1.0000e-02 eta: 2 days, 13:23:24 time: 0.6746 data_time: 0.0219 memory: 17350 grad_norm: 5.4710 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4654 loss: 2.4654 2022/07/22 08:51:46 - mmengine - INFO - Epoch(train) [12][2200/3757] lr: 1.0000e-02 eta: 2 days, 13:23:05 time: 0.6286 data_time: 0.0198 memory: 17350 grad_norm: 5.5878 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3651 loss: 2.3651 2022/07/22 08:52:00 - mmengine - INFO - Epoch(train) [12][2220/3757] lr: 1.0000e-02 eta: 2 days, 13:22:57 time: 0.6998 data_time: 0.0222 memory: 17350 grad_norm: 5.2583 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3161 loss: 2.3161 2022/07/22 08:52:13 - mmengine - INFO - Epoch(train) [12][2240/3757] lr: 1.0000e-02 eta: 2 days, 13:22:35 time: 0.6106 data_time: 0.0241 memory: 17350 grad_norm: 5.5831 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1980 loss: 2.1980 2022/07/22 08:52:27 - mmengine - INFO - Epoch(train) [12][2260/3757] lr: 1.0000e-02 eta: 2 days, 13:22:34 time: 0.7436 data_time: 0.0209 memory: 17350 grad_norm: 5.4610 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1242 loss: 2.1242 2022/07/22 08:52:40 - mmengine - INFO - Epoch(train) [12][2280/3757] lr: 1.0000e-02 eta: 2 days, 13:22:18 time: 0.6462 data_time: 0.0261 memory: 17350 grad_norm: 5.2494 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1796 loss: 2.1796 2022/07/22 08:52:54 - mmengine - INFO - Epoch(train) [12][2300/3757] lr: 1.0000e-02 eta: 2 days, 13:22:04 time: 0.6634 data_time: 0.0227 memory: 17350 grad_norm: 5.5275 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3336 loss: 2.3336 2022/07/22 08:53:05 - mmengine - INFO - Epoch(train) [12][2320/3757] lr: 1.0000e-02 eta: 2 days, 13:21:40 time: 0.5926 data_time: 0.0233 memory: 17350 grad_norm: 5.4660 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0523 loss: 2.0523 2022/07/22 08:53:20 - mmengine - INFO - Epoch(train) [12][2340/3757] lr: 1.0000e-02 eta: 2 days, 13:21:35 time: 0.7247 data_time: 0.0219 memory: 17350 grad_norm: 5.3671 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3757 loss: 2.3757 2022/07/22 08:53:32 - mmengine - INFO - Epoch(train) [12][2360/3757] lr: 1.0000e-02 eta: 2 days, 13:21:12 time: 0.5997 data_time: 0.0220 memory: 17350 grad_norm: 5.3013 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9863 loss: 1.9863 2022/07/22 08:53:47 - mmengine - INFO - Epoch(train) [12][2380/3757] lr: 1.0000e-02 eta: 2 days, 13:21:11 time: 0.7443 data_time: 0.0223 memory: 17350 grad_norm: 5.3462 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3949 loss: 2.3949 2022/07/22 08:53:58 - mmengine - INFO - Epoch(train) [12][2400/3757] lr: 1.0000e-02 eta: 2 days, 13:20:42 time: 0.5601 data_time: 0.0218 memory: 17350 grad_norm: 5.4567 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.3096 loss: 2.3096 2022/07/22 08:54:12 - mmengine - INFO - Epoch(train) [12][2420/3757] lr: 1.0000e-02 eta: 2 days, 13:20:33 time: 0.6991 data_time: 0.0211 memory: 17350 grad_norm: 5.3358 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0269 loss: 2.0269 2022/07/22 08:54:24 - mmengine - INFO - Epoch(train) [12][2440/3757] lr: 1.0000e-02 eta: 2 days, 13:20:12 time: 0.6098 data_time: 0.0219 memory: 17350 grad_norm: 5.3403 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0500 loss: 2.0500 2022/07/22 08:54:39 - mmengine - INFO - Epoch(train) [12][2460/3757] lr: 1.0000e-02 eta: 2 days, 13:20:08 time: 0.7320 data_time: 0.0222 memory: 17350 grad_norm: 5.3148 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3170 loss: 2.3170 2022/07/22 08:54:51 - mmengine - INFO - Epoch(train) [12][2480/3757] lr: 1.0000e-02 eta: 2 days, 13:19:43 time: 0.5843 data_time: 0.0195 memory: 17350 grad_norm: 5.3700 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2502 loss: 2.2502 2022/07/22 08:55:06 - mmengine - INFO - Epoch(train) [12][2500/3757] lr: 1.0000e-02 eta: 2 days, 13:19:43 time: 0.7542 data_time: 0.0220 memory: 17350 grad_norm: 5.0808 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2066 loss: 2.2066 2022/07/22 08:55:18 - mmengine - INFO - Epoch(train) [12][2520/3757] lr: 1.0000e-02 eta: 2 days, 13:19:19 time: 0.5933 data_time: 0.0232 memory: 17350 grad_norm: 5.4885 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8499 loss: 1.8499 2022/07/22 08:55:32 - mmengine - INFO - Epoch(train) [12][2540/3757] lr: 1.0000e-02 eta: 2 days, 13:19:15 time: 0.7274 data_time: 0.0228 memory: 17350 grad_norm: 5.2447 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2282 loss: 2.2282 2022/07/22 08:55:45 - mmengine - INFO - Epoch(train) [12][2560/3757] lr: 1.0000e-02 eta: 2 days, 13:18:56 time: 0.6295 data_time: 0.0229 memory: 17350 grad_norm: 5.3543 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2800 loss: 2.2800 2022/07/22 08:55:59 - mmengine - INFO - Epoch(train) [12][2580/3757] lr: 1.0000e-02 eta: 2 days, 13:18:52 time: 0.7238 data_time: 0.0215 memory: 17350 grad_norm: 5.4581 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4432 loss: 2.4432 2022/07/22 08:56:12 - mmengine - INFO - Epoch(train) [12][2600/3757] lr: 1.0000e-02 eta: 2 days, 13:18:36 time: 0.6485 data_time: 0.0307 memory: 17350 grad_norm: 5.3951 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0565 loss: 2.0565 2022/07/22 08:56:26 - mmengine - INFO - Epoch(train) [12][2620/3757] lr: 1.0000e-02 eta: 2 days, 13:18:29 time: 0.7066 data_time: 0.0239 memory: 17350 grad_norm: 5.4236 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1369 loss: 2.1369 2022/07/22 08:56:38 - mmengine - INFO - Epoch(train) [12][2640/3757] lr: 1.0000e-02 eta: 2 days, 13:18:05 time: 0.5954 data_time: 0.0215 memory: 17350 grad_norm: 5.5545 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1894 loss: 2.1894 2022/07/22 08:56:53 - mmengine - INFO - Epoch(train) [12][2660/3757] lr: 1.0000e-02 eta: 2 days, 13:18:06 time: 0.7617 data_time: 0.0212 memory: 17350 grad_norm: 5.3956 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2773 loss: 2.2773 2022/07/22 08:57:02 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 08:57:05 - mmengine - INFO - Epoch(train) [12][2680/3757] lr: 1.0000e-02 eta: 2 days, 13:17:38 time: 0.5684 data_time: 0.0228 memory: 17350 grad_norm: 5.2728 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1145 loss: 2.1145 2022/07/22 08:57:19 - mmengine - INFO - Epoch(train) [12][2700/3757] lr: 1.0000e-02 eta: 2 days, 13:17:34 time: 0.7242 data_time: 0.0225 memory: 17350 grad_norm: 5.1835 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2800 loss: 2.2800 2022/07/22 08:57:32 - mmengine - INFO - Epoch(train) [12][2720/3757] lr: 1.0000e-02 eta: 2 days, 13:17:13 time: 0.6133 data_time: 0.0227 memory: 17350 grad_norm: 5.2420 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3386 loss: 2.3386 2022/07/22 08:57:46 - mmengine - INFO - Epoch(train) [12][2740/3757] lr: 1.0000e-02 eta: 2 days, 13:17:08 time: 0.7231 data_time: 0.0231 memory: 17350 grad_norm: 5.3716 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2099 loss: 2.2099 2022/07/22 08:57:58 - mmengine - INFO - Epoch(train) [12][2760/3757] lr: 1.0000e-02 eta: 2 days, 13:16:47 time: 0.6105 data_time: 0.0216 memory: 17350 grad_norm: 5.4565 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1916 loss: 2.1916 2022/07/22 08:58:12 - mmengine - INFO - Epoch(train) [12][2780/3757] lr: 1.0000e-02 eta: 2 days, 13:16:39 time: 0.7006 data_time: 0.0209 memory: 17350 grad_norm: 5.4832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3666 loss: 2.3666 2022/07/22 08:58:24 - mmengine - INFO - Epoch(train) [12][2800/3757] lr: 1.0000e-02 eta: 2 days, 13:16:16 time: 0.6052 data_time: 0.0220 memory: 17350 grad_norm: 5.3319 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1037 loss: 2.1037 2022/07/22 08:58:38 - mmengine - INFO - Epoch(train) [12][2820/3757] lr: 1.0000e-02 eta: 2 days, 13:16:09 time: 0.7018 data_time: 0.0226 memory: 17350 grad_norm: 5.3815 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5866 loss: 2.5866 2022/07/22 08:58:51 - mmengine - INFO - Epoch(train) [12][2840/3757] lr: 1.0000e-02 eta: 2 days, 13:15:47 time: 0.6113 data_time: 0.0244 memory: 17350 grad_norm: 5.1391 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1876 loss: 2.1876 2022/07/22 08:59:06 - mmengine - INFO - Epoch(train) [12][2860/3757] lr: 1.0000e-02 eta: 2 days, 13:15:48 time: 0.7600 data_time: 0.0221 memory: 17350 grad_norm: 5.3080 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2650 loss: 2.2650 2022/07/22 08:59:18 - mmengine - INFO - Epoch(train) [12][2880/3757] lr: 1.0000e-02 eta: 2 days, 13:15:25 time: 0.5991 data_time: 0.0217 memory: 17350 grad_norm: 5.3791 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9490 loss: 1.9490 2022/07/22 08:59:31 - mmengine - INFO - Epoch(train) [12][2900/3757] lr: 1.0000e-02 eta: 2 days, 13:15:14 time: 0.6810 data_time: 0.0227 memory: 17350 grad_norm: 5.4160 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5654 loss: 2.5654 2022/07/22 08:59:45 - mmengine - INFO - Epoch(train) [12][2920/3757] lr: 1.0000e-02 eta: 2 days, 13:15:01 time: 0.6652 data_time: 0.0237 memory: 17350 grad_norm: 5.4935 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2024 loss: 2.2024 2022/07/22 08:59:58 - mmengine - INFO - Epoch(train) [12][2940/3757] lr: 1.0000e-02 eta: 2 days, 13:14:47 time: 0.6614 data_time: 0.0245 memory: 17350 grad_norm: 5.3297 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4212 loss: 2.4212 2022/07/22 09:00:11 - mmengine - INFO - Epoch(train) [12][2960/3757] lr: 1.0000e-02 eta: 2 days, 13:14:35 time: 0.6735 data_time: 0.0228 memory: 17350 grad_norm: 5.2082 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2274 loss: 2.2274 2022/07/22 09:00:25 - mmengine - INFO - Epoch(train) [12][2980/3757] lr: 1.0000e-02 eta: 2 days, 13:14:21 time: 0.6610 data_time: 0.0235 memory: 17350 grad_norm: 5.2535 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4885 loss: 2.4885 2022/07/22 09:00:39 - mmengine - INFO - Epoch(train) [12][3000/3757] lr: 1.0000e-02 eta: 2 days, 13:14:19 time: 0.7400 data_time: 0.0233 memory: 17350 grad_norm: 5.4574 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1926 loss: 2.1926 2022/07/22 09:00:51 - mmengine - INFO - Epoch(train) [12][3020/3757] lr: 1.0000e-02 eta: 2 days, 13:13:55 time: 0.5989 data_time: 0.0220 memory: 17350 grad_norm: 5.2684 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4332 loss: 2.4332 2022/07/22 09:01:06 - mmengine - INFO - Epoch(train) [12][3040/3757] lr: 1.0000e-02 eta: 2 days, 13:13:50 time: 0.7181 data_time: 0.0225 memory: 17350 grad_norm: 5.2848 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3789 loss: 2.3789 2022/07/22 09:01:19 - mmengine - INFO - Epoch(train) [12][3060/3757] lr: 1.0000e-02 eta: 2 days, 13:13:33 time: 0.6407 data_time: 0.0212 memory: 17350 grad_norm: 5.3546 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1595 loss: 2.1595 2022/07/22 09:01:32 - mmengine - INFO - Epoch(train) [12][3080/3757] lr: 1.0000e-02 eta: 2 days, 13:13:18 time: 0.6539 data_time: 0.0215 memory: 17350 grad_norm: 5.2273 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9791 loss: 1.9791 2022/07/22 09:01:45 - mmengine - INFO - Epoch(train) [12][3100/3757] lr: 1.0000e-02 eta: 2 days, 13:13:06 time: 0.6751 data_time: 0.0228 memory: 17350 grad_norm: 5.2584 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2059 loss: 2.2059 2022/07/22 09:01:58 - mmengine - INFO - Epoch(train) [12][3120/3757] lr: 1.0000e-02 eta: 2 days, 13:12:49 time: 0.6392 data_time: 0.0253 memory: 17350 grad_norm: 5.2760 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1466 loss: 2.1466 2022/07/22 09:02:12 - mmengine - INFO - Epoch(train) [12][3140/3757] lr: 1.0000e-02 eta: 2 days, 13:12:40 time: 0.6968 data_time: 0.0223 memory: 17350 grad_norm: 5.3798 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0990 loss: 2.0990 2022/07/22 09:02:25 - mmengine - INFO - Epoch(train) [12][3160/3757] lr: 1.0000e-02 eta: 2 days, 13:12:23 time: 0.6411 data_time: 0.0199 memory: 17350 grad_norm: 5.4108 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9859 loss: 1.9859 2022/07/22 09:02:39 - mmengine - INFO - Epoch(train) [12][3180/3757] lr: 1.0000e-02 eta: 2 days, 13:12:16 time: 0.7050 data_time: 0.0228 memory: 17350 grad_norm: 5.3831 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2958 loss: 2.2958 2022/07/22 09:02:51 - mmengine - INFO - Epoch(train) [12][3200/3757] lr: 1.0000e-02 eta: 2 days, 13:11:55 time: 0.6140 data_time: 0.0213 memory: 17350 grad_norm: 5.3278 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2002 loss: 2.2002 2022/07/22 09:03:06 - mmengine - INFO - Epoch(train) [12][3220/3757] lr: 1.0000e-02 eta: 2 days, 13:11:52 time: 0.7355 data_time: 0.0243 memory: 17350 grad_norm: 5.4581 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3540 loss: 2.3540 2022/07/22 09:03:17 - mmengine - INFO - Epoch(train) [12][3240/3757] lr: 1.0000e-02 eta: 2 days, 13:11:26 time: 0.5794 data_time: 0.0224 memory: 17350 grad_norm: 5.4776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0809 loss: 2.0809 2022/07/22 09:03:32 - mmengine - INFO - Epoch(train) [12][3260/3757] lr: 1.0000e-02 eta: 2 days, 13:11:25 time: 0.7474 data_time: 0.0225 memory: 17350 grad_norm: 5.2339 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9785 loss: 1.9785 2022/07/22 09:03:45 - mmengine - INFO - Epoch(train) [12][3280/3757] lr: 1.0000e-02 eta: 2 days, 13:11:03 time: 0.6065 data_time: 0.0223 memory: 17350 grad_norm: 5.5231 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2228 loss: 2.2228 2022/07/22 09:03:59 - mmengine - INFO - Epoch(train) [12][3300/3757] lr: 1.0000e-02 eta: 2 days, 13:10:58 time: 0.7236 data_time: 0.0224 memory: 17350 grad_norm: 5.3721 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3412 loss: 2.3412 2022/07/22 09:04:11 - mmengine - INFO - Epoch(train) [12][3320/3757] lr: 1.0000e-02 eta: 2 days, 13:10:36 time: 0.6027 data_time: 0.0211 memory: 17350 grad_norm: 5.2541 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3013 loss: 2.3013 2022/07/22 09:04:25 - mmengine - INFO - Epoch(train) [12][3340/3757] lr: 1.0000e-02 eta: 2 days, 13:10:29 time: 0.7115 data_time: 0.0232 memory: 17350 grad_norm: 5.3058 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2584 loss: 2.2584 2022/07/22 09:04:37 - mmengine - INFO - Epoch(train) [12][3360/3757] lr: 1.0000e-02 eta: 2 days, 13:10:04 time: 0.5840 data_time: 0.0241 memory: 17350 grad_norm: 5.4161 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1816 loss: 2.1816 2022/07/22 09:04:52 - mmengine - INFO - Epoch(train) [12][3380/3757] lr: 1.0000e-02 eta: 2 days, 13:10:00 time: 0.7313 data_time: 0.0208 memory: 17350 grad_norm: 5.3565 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0219 loss: 2.0219 2022/07/22 09:05:03 - mmengine - INFO - Epoch(train) [12][3400/3757] lr: 1.0000e-02 eta: 2 days, 13:09:36 time: 0.5918 data_time: 0.0221 memory: 17350 grad_norm: 5.3614 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1584 loss: 2.1584 2022/07/22 09:05:19 - mmengine - INFO - Epoch(train) [12][3420/3757] lr: 1.0000e-02 eta: 2 days, 13:09:37 time: 0.7615 data_time: 0.0204 memory: 17350 grad_norm: 5.3627 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3115 loss: 2.3115 2022/07/22 09:05:31 - mmengine - INFO - Epoch(train) [12][3440/3757] lr: 1.0000e-02 eta: 2 days, 13:09:13 time: 0.5905 data_time: 0.0260 memory: 17350 grad_norm: 5.3909 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9487 loss: 1.9487 2022/07/22 09:05:45 - mmengine - INFO - Epoch(train) [12][3460/3757] lr: 1.0000e-02 eta: 2 days, 13:09:06 time: 0.7108 data_time: 0.0337 memory: 17350 grad_norm: 5.5101 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1471 loss: 2.1471 2022/07/22 09:05:57 - mmengine - INFO - Epoch(train) [12][3480/3757] lr: 1.0000e-02 eta: 2 days, 13:08:47 time: 0.6248 data_time: 0.0563 memory: 17350 grad_norm: 5.2430 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1255 loss: 2.1255 2022/07/22 09:06:10 - mmengine - INFO - Epoch(train) [12][3500/3757] lr: 1.0000e-02 eta: 2 days, 13:08:30 time: 0.6417 data_time: 0.0483 memory: 17350 grad_norm: 5.3990 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1023 loss: 2.1023 2022/07/22 09:06:24 - mmengine - INFO - Epoch(train) [12][3520/3757] lr: 1.0000e-02 eta: 2 days, 13:08:24 time: 0.7121 data_time: 0.1430 memory: 17350 grad_norm: 5.2646 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1644 loss: 2.1644 2022/07/22 09:06:37 - mmengine - INFO - Epoch(train) [12][3540/3757] lr: 1.0000e-02 eta: 2 days, 13:08:03 time: 0.6137 data_time: 0.1023 memory: 17350 grad_norm: 5.3721 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3067 loss: 2.3067 2022/07/22 09:06:50 - mmengine - INFO - Epoch(train) [12][3560/3757] lr: 1.0000e-02 eta: 2 days, 13:07:52 time: 0.6789 data_time: 0.0555 memory: 17350 grad_norm: 5.3571 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0450 loss: 2.0450 2022/07/22 09:07:04 - mmengine - INFO - Epoch(train) [12][3580/3757] lr: 1.0000e-02 eta: 2 days, 13:07:39 time: 0.6717 data_time: 0.1138 memory: 17350 grad_norm: 5.3463 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2085 loss: 2.2085 2022/07/22 09:07:17 - mmengine - INFO - Epoch(train) [12][3600/3757] lr: 1.0000e-02 eta: 2 days, 13:07:25 time: 0.6609 data_time: 0.1781 memory: 17350 grad_norm: 5.3078 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2525 loss: 2.2525 2022/07/22 09:07:31 - mmengine - INFO - Epoch(train) [12][3620/3757] lr: 1.0000e-02 eta: 2 days, 13:07:15 time: 0.6887 data_time: 0.1657 memory: 17350 grad_norm: 5.4178 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2670 loss: 2.2670 2022/07/22 09:07:44 - mmengine - INFO - Epoch(train) [12][3640/3757] lr: 1.0000e-02 eta: 2 days, 13:06:59 time: 0.6445 data_time: 0.1881 memory: 17350 grad_norm: 5.2656 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3223 loss: 2.3223 2022/07/22 09:07:58 - mmengine - INFO - Epoch(train) [12][3660/3757] lr: 1.0000e-02 eta: 2 days, 13:06:56 time: 0.7351 data_time: 0.1582 memory: 17350 grad_norm: 5.2791 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9710 loss: 1.9710 2022/07/22 09:08:08 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 09:08:11 - mmengine - INFO - Epoch(train) [12][3680/3757] lr: 1.0000e-02 eta: 2 days, 13:06:36 time: 0.6171 data_time: 0.0321 memory: 17350 grad_norm: 5.5744 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1204 loss: 2.1204 2022/07/22 09:08:25 - mmengine - INFO - Epoch(train) [12][3700/3757] lr: 1.0000e-02 eta: 2 days, 13:06:30 time: 0.7161 data_time: 0.1035 memory: 17350 grad_norm: 5.4979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0579 loss: 2.0579 2022/07/22 09:08:37 - mmengine - INFO - Epoch(train) [12][3720/3757] lr: 1.0000e-02 eta: 2 days, 13:06:05 time: 0.5844 data_time: 0.0795 memory: 17350 grad_norm: 5.3687 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1266 loss: 2.1266 2022/07/22 09:08:52 - mmengine - INFO - Epoch(train) [12][3740/3757] lr: 1.0000e-02 eta: 2 days, 13:06:05 time: 0.7600 data_time: 0.1757 memory: 17350 grad_norm: 5.3877 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3150 loss: 2.3150 2022/07/22 09:08:59 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 09:08:59 - mmengine - INFO - Epoch(train) [12][3757/3757] lr: 1.0000e-02 eta: 2 days, 13:06:05 time: 0.4177 data_time: 0.0226 memory: 17350 grad_norm: 5.4018 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.2731 loss: 2.2731 2022/07/22 09:09:16 - mmengine - INFO - Epoch(val) [12][20/310] eta: 0:04:04 time: 0.8445 data_time: 0.7289 memory: 3406 2022/07/22 09:09:27 - mmengine - INFO - Epoch(val) [12][40/310] eta: 0:02:33 time: 0.5683 data_time: 0.4568 memory: 3406 2022/07/22 09:09:42 - mmengine - INFO - Epoch(val) [12][60/310] eta: 0:03:03 time: 0.7331 data_time: 0.6204 memory: 3406 2022/07/22 09:09:53 - mmengine - INFO - Epoch(val) [12][80/310] eta: 0:02:11 time: 0.5714 data_time: 0.4601 memory: 3406 2022/07/22 09:10:10 - mmengine - INFO - Epoch(val) [12][100/310] eta: 0:02:48 time: 0.8018 data_time: 0.6865 memory: 3406 2022/07/22 09:10:20 - mmengine - INFO - Epoch(val) [12][120/310] eta: 0:01:42 time: 0.5373 data_time: 0.4239 memory: 3406 2022/07/22 09:10:37 - mmengine - INFO - Epoch(val) [12][140/310] eta: 0:02:20 time: 0.8248 data_time: 0.7106 memory: 3406 2022/07/22 09:10:47 - mmengine - INFO - Epoch(val) [12][160/310] eta: 0:01:20 time: 0.5359 data_time: 0.4235 memory: 3406 2022/07/22 09:11:03 - mmengine - INFO - Epoch(val) [12][180/310] eta: 0:01:40 time: 0.7756 data_time: 0.6638 memory: 3406 2022/07/22 09:11:14 - mmengine - INFO - Epoch(val) [12][200/310] eta: 0:01:02 time: 0.5673 data_time: 0.4546 memory: 3406 2022/07/22 09:11:29 - mmengine - INFO - Epoch(val) [12][220/310] eta: 0:01:06 time: 0.7438 data_time: 0.6293 memory: 3406 2022/07/22 09:11:40 - mmengine - INFO - Epoch(val) [12][240/310] eta: 0:00:37 time: 0.5352 data_time: 0.4186 memory: 3406 2022/07/22 09:11:55 - mmengine - INFO - Epoch(val) [12][260/310] eta: 0:00:37 time: 0.7559 data_time: 0.6415 memory: 3406 2022/07/22 09:12:07 - mmengine - INFO - Epoch(val) [12][280/310] eta: 0:00:17 time: 0.5767 data_time: 0.4627 memory: 3406 2022/07/22 09:12:21 - mmengine - INFO - Epoch(val) [12][300/310] eta: 0:00:07 time: 0.7223 data_time: 0.6090 memory: 3406 2022/07/22 09:12:25 - mmengine - INFO - Epoch(val) [12][310/310] acc/top1: 0.5388 acc/top5: 0.7895 acc/mean1: 0.5387 2022/07/22 09:12:25 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_12.pth is removed 2022/07/22 09:12:29 - mmengine - INFO - The best checkpoint with 0.5388 acc/top1 at 13 epoch is saved to best_acc/top1_epoch_13.pth. 2022/07/22 09:12:45 - mmengine - INFO - Epoch(train) [13][20/3757] lr: 1.0000e-02 eta: 2 days, 13:04:40 time: 0.8153 data_time: 0.4891 memory: 17350 grad_norm: 5.4783 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2806 loss: 2.2806 2022/07/22 09:12:57 - mmengine - INFO - Epoch(train) [13][40/3757] lr: 1.0000e-02 eta: 2 days, 13:04:19 time: 0.6164 data_time: 0.2922 memory: 17350 grad_norm: 5.4588 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1907 loss: 2.1907 2022/07/22 09:13:11 - mmengine - INFO - Epoch(train) [13][60/3757] lr: 1.0000e-02 eta: 2 days, 13:04:12 time: 0.7070 data_time: 0.3562 memory: 17350 grad_norm: 5.3544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9312 loss: 1.9312 2022/07/22 09:13:23 - mmengine - INFO - Epoch(train) [13][80/3757] lr: 1.0000e-02 eta: 2 days, 13:03:49 time: 0.5992 data_time: 0.2524 memory: 17350 grad_norm: 5.3295 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8665 loss: 1.8665 2022/07/22 09:13:38 - mmengine - INFO - Epoch(train) [13][100/3757] lr: 1.0000e-02 eta: 2 days, 13:03:46 time: 0.7318 data_time: 0.3861 memory: 17350 grad_norm: 5.2475 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3021 loss: 2.3021 2022/07/22 09:13:50 - mmengine - INFO - Epoch(train) [13][120/3757] lr: 1.0000e-02 eta: 2 days, 13:03:24 time: 0.6090 data_time: 0.2701 memory: 17350 grad_norm: 5.3164 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0532 loss: 2.0532 2022/07/22 09:14:04 - mmengine - INFO - Epoch(train) [13][140/3757] lr: 1.0000e-02 eta: 2 days, 13:03:19 time: 0.7176 data_time: 0.3946 memory: 17350 grad_norm: 5.4593 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0316 loss: 2.0316 2022/07/22 09:14:17 - mmengine - INFO - Epoch(train) [13][160/3757] lr: 1.0000e-02 eta: 2 days, 13:02:58 time: 0.6157 data_time: 0.2507 memory: 17350 grad_norm: 5.3414 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9517 loss: 1.9517 2022/07/22 09:14:31 - mmengine - INFO - Epoch(train) [13][180/3757] lr: 1.0000e-02 eta: 2 days, 13:02:52 time: 0.7155 data_time: 0.3291 memory: 17350 grad_norm: 5.4034 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1328 loss: 2.1328 2022/07/22 09:14:43 - mmengine - INFO - Epoch(train) [13][200/3757] lr: 1.0000e-02 eta: 2 days, 13:02:30 time: 0.6069 data_time: 0.1883 memory: 17350 grad_norm: 5.3589 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1436 loss: 2.1436 2022/07/22 09:14:58 - mmengine - INFO - Epoch(train) [13][220/3757] lr: 1.0000e-02 eta: 2 days, 13:02:25 time: 0.7226 data_time: 0.2357 memory: 17350 grad_norm: 5.5255 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3172 loss: 2.3172 2022/07/22 09:15:10 - mmengine - INFO - Epoch(train) [13][240/3757] lr: 1.0000e-02 eta: 2 days, 13:02:07 time: 0.6313 data_time: 0.2131 memory: 17350 grad_norm: 5.1788 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0941 loss: 2.0941 2022/07/22 09:15:24 - mmengine - INFO - Epoch(train) [13][260/3757] lr: 1.0000e-02 eta: 2 days, 13:01:59 time: 0.6973 data_time: 0.2838 memory: 17350 grad_norm: 5.3839 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2380 loss: 2.2380 2022/07/22 09:15:37 - mmengine - INFO - Epoch(train) [13][280/3757] lr: 1.0000e-02 eta: 2 days, 13:01:38 time: 0.6121 data_time: 0.1943 memory: 17350 grad_norm: 5.4101 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1989 loss: 2.1989 2022/07/22 09:15:51 - mmengine - INFO - Epoch(train) [13][300/3757] lr: 1.0000e-02 eta: 2 days, 13:01:35 time: 0.7377 data_time: 0.2990 memory: 17350 grad_norm: 5.3873 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1614 loss: 2.1614 2022/07/22 09:16:03 - mmengine - INFO - Epoch(train) [13][320/3757] lr: 1.0000e-02 eta: 2 days, 13:01:11 time: 0.5908 data_time: 0.1263 memory: 17350 grad_norm: 5.3804 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2646 loss: 2.2646 2022/07/22 09:16:18 - mmengine - INFO - Epoch(train) [13][340/3757] lr: 1.0000e-02 eta: 2 days, 13:01:11 time: 0.7616 data_time: 0.2775 memory: 17350 grad_norm: 5.5037 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1868 loss: 2.1868 2022/07/22 09:16:30 - mmengine - INFO - Epoch(train) [13][360/3757] lr: 1.0000e-02 eta: 2 days, 13:00:50 time: 0.6063 data_time: 0.2625 memory: 17350 grad_norm: 5.5758 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0238 loss: 2.0238 2022/07/22 09:16:45 - mmengine - INFO - Epoch(train) [13][380/3757] lr: 1.0000e-02 eta: 2 days, 13:00:45 time: 0.7262 data_time: 0.3927 memory: 17350 grad_norm: 5.4707 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2811 loss: 2.2811 2022/07/22 09:16:57 - mmengine - INFO - Epoch(train) [13][400/3757] lr: 1.0000e-02 eta: 2 days, 13:00:22 time: 0.6000 data_time: 0.2646 memory: 17350 grad_norm: 5.4457 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3994 loss: 2.3994 2022/07/22 09:17:12 - mmengine - INFO - Epoch(train) [13][420/3757] lr: 1.0000e-02 eta: 2 days, 13:00:20 time: 0.7391 data_time: 0.3347 memory: 17350 grad_norm: 5.4796 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0653 loss: 2.0653 2022/07/22 09:17:24 - mmengine - INFO - Epoch(train) [13][440/3757] lr: 1.0000e-02 eta: 2 days, 12:59:58 time: 0.6065 data_time: 0.2105 memory: 17350 grad_norm: 5.4515 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0525 loss: 2.0525 2022/07/22 09:17:39 - mmengine - INFO - Epoch(train) [13][460/3757] lr: 1.0000e-02 eta: 2 days, 12:59:55 time: 0.7389 data_time: 0.2961 memory: 17350 grad_norm: 5.2336 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0496 loss: 2.0496 2022/07/22 09:17:50 - mmengine - INFO - Epoch(train) [13][480/3757] lr: 1.0000e-02 eta: 2 days, 12:59:29 time: 0.5779 data_time: 0.1877 memory: 17350 grad_norm: 5.3995 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0313 loss: 2.0313 2022/07/22 09:18:05 - mmengine - INFO - Epoch(train) [13][500/3757] lr: 1.0000e-02 eta: 2 days, 12:59:24 time: 0.7164 data_time: 0.1395 memory: 17350 grad_norm: 5.4286 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1478 loss: 2.1478 2022/07/22 09:18:17 - mmengine - INFO - Epoch(train) [13][520/3757] lr: 1.0000e-02 eta: 2 days, 12:59:01 time: 0.5983 data_time: 0.0440 memory: 17350 grad_norm: 5.3172 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2427 loss: 2.2427 2022/07/22 09:18:31 - mmengine - INFO - Epoch(train) [13][540/3757] lr: 1.0000e-02 eta: 2 days, 12:58:57 time: 0.7340 data_time: 0.0239 memory: 17350 grad_norm: 5.4023 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1155 loss: 2.1155 2022/07/22 09:18:43 - mmengine - INFO - Epoch(train) [13][560/3757] lr: 1.0000e-02 eta: 2 days, 12:58:33 time: 0.5875 data_time: 0.0228 memory: 17350 grad_norm: 5.6003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1922 loss: 2.1922 2022/07/22 09:18:58 - mmengine - INFO - Epoch(train) [13][580/3757] lr: 1.0000e-02 eta: 2 days, 12:58:32 time: 0.7498 data_time: 0.0252 memory: 17350 grad_norm: 5.4074 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0228 loss: 2.0228 2022/07/22 09:19:10 - mmengine - INFO - Epoch(train) [13][600/3757] lr: 1.0000e-02 eta: 2 days, 12:58:12 time: 0.6184 data_time: 0.0227 memory: 17350 grad_norm: 5.4885 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9758 loss: 1.9758 2022/07/22 09:19:25 - mmengine - INFO - Epoch(train) [13][620/3757] lr: 1.0000e-02 eta: 2 days, 12:58:08 time: 0.7299 data_time: 0.0235 memory: 17350 grad_norm: 5.3690 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3191 loss: 2.3191 2022/07/22 09:19:36 - mmengine - INFO - Epoch(train) [13][640/3757] lr: 1.0000e-02 eta: 2 days, 12:57:42 time: 0.5756 data_time: 0.0218 memory: 17350 grad_norm: 5.3679 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2499 loss: 2.2499 2022/07/22 09:19:52 - mmengine - INFO - Epoch(train) [13][660/3757] lr: 1.0000e-02 eta: 2 days, 12:57:43 time: 0.7675 data_time: 0.0232 memory: 17350 grad_norm: 5.2018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3394 loss: 2.3394 2022/07/22 09:20:03 - mmengine - INFO - Epoch(train) [13][680/3757] lr: 1.0000e-02 eta: 2 days, 12:57:17 time: 0.5799 data_time: 0.0220 memory: 17350 grad_norm: 5.5752 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9071 loss: 1.9071 2022/07/22 09:20:18 - mmengine - INFO - Epoch(train) [13][700/3757] lr: 1.0000e-02 eta: 2 days, 12:57:15 time: 0.7387 data_time: 0.0229 memory: 17350 grad_norm: 5.4327 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3633 loss: 2.3633 2022/07/22 09:20:30 - mmengine - INFO - Epoch(train) [13][720/3757] lr: 1.0000e-02 eta: 2 days, 12:56:47 time: 0.5653 data_time: 0.0225 memory: 17350 grad_norm: 5.4321 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2431 loss: 2.2431 2022/07/22 09:20:44 - mmengine - INFO - Epoch(train) [13][740/3757] lr: 1.0000e-02 eta: 2 days, 12:56:45 time: 0.7426 data_time: 0.0212 memory: 17350 grad_norm: 5.4062 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1682 loss: 2.1682 2022/07/22 09:20:57 - mmengine - INFO - Epoch(train) [13][760/3757] lr: 1.0000e-02 eta: 2 days, 12:56:25 time: 0.6221 data_time: 0.0214 memory: 17350 grad_norm: 5.3402 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2038 loss: 2.2038 2022/07/22 09:21:11 - mmengine - INFO - Epoch(train) [13][780/3757] lr: 1.0000e-02 eta: 2 days, 12:56:17 time: 0.6991 data_time: 0.0223 memory: 17350 grad_norm: 5.3956 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3202 loss: 2.3202 2022/07/22 09:21:22 - mmengine - INFO - Epoch(train) [13][800/3757] lr: 1.0000e-02 eta: 2 days, 12:55:51 time: 0.5797 data_time: 0.0206 memory: 17350 grad_norm: 5.1892 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1963 loss: 2.1963 2022/07/22 09:21:36 - mmengine - INFO - Epoch(train) [13][820/3757] lr: 1.0000e-02 eta: 2 days, 12:55:43 time: 0.6974 data_time: 0.0226 memory: 17350 grad_norm: 5.4161 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9936 loss: 1.9936 2022/07/22 09:21:48 - mmengine - INFO - Epoch(train) [13][840/3757] lr: 1.0000e-02 eta: 2 days, 12:55:18 time: 0.5829 data_time: 0.0222 memory: 17350 grad_norm: 5.4170 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0268 loss: 2.0268 2022/07/22 09:22:03 - mmengine - INFO - Epoch(train) [13][860/3757] lr: 1.0000e-02 eta: 2 days, 12:55:19 time: 0.7668 data_time: 0.0219 memory: 17350 grad_norm: 5.2635 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9308 loss: 1.9308 2022/07/22 09:22:15 - mmengine - INFO - Epoch(train) [13][880/3757] lr: 1.0000e-02 eta: 2 days, 12:54:55 time: 0.5918 data_time: 0.0218 memory: 17350 grad_norm: 5.3379 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2269 loss: 2.2269 2022/07/22 09:22:29 - mmengine - INFO - Epoch(train) [13][900/3757] lr: 1.0000e-02 eta: 2 days, 12:54:43 time: 0.6709 data_time: 0.0216 memory: 17350 grad_norm: 5.5093 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0168 loss: 2.0168 2022/07/22 09:22:39 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 09:22:41 - mmengine - INFO - Epoch(train) [13][920/3757] lr: 1.0000e-02 eta: 2 days, 12:54:23 time: 0.6202 data_time: 0.0319 memory: 17350 grad_norm: 5.3281 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1469 loss: 2.1469 2022/07/22 09:22:56 - mmengine - INFO - Epoch(train) [13][940/3757] lr: 1.0000e-02 eta: 2 days, 12:54:19 time: 0.7276 data_time: 0.0607 memory: 17350 grad_norm: 5.4114 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9095 loss: 1.9095 2022/07/22 09:23:08 - mmengine - INFO - Epoch(train) [13][960/3757] lr: 1.0000e-02 eta: 2 days, 12:54:00 time: 0.6287 data_time: 0.0246 memory: 17350 grad_norm: 5.4031 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0667 loss: 2.0667 2022/07/22 09:23:22 - mmengine - INFO - Epoch(train) [13][980/3757] lr: 1.0000e-02 eta: 2 days, 12:53:51 time: 0.6951 data_time: 0.0216 memory: 17350 grad_norm: 5.2935 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1920 loss: 2.1920 2022/07/22 09:23:35 - mmengine - INFO - Epoch(train) [13][1000/3757] lr: 1.0000e-02 eta: 2 days, 12:53:32 time: 0.6261 data_time: 0.0215 memory: 17350 grad_norm: 5.3079 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1115 loss: 2.1115 2022/07/22 09:23:49 - mmengine - INFO - Epoch(train) [13][1020/3757] lr: 1.0000e-02 eta: 2 days, 12:53:26 time: 0.7165 data_time: 0.0286 memory: 17350 grad_norm: 5.3339 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8324 loss: 1.8324 2022/07/22 09:24:01 - mmengine - INFO - Epoch(train) [13][1040/3757] lr: 1.0000e-02 eta: 2 days, 12:53:04 time: 0.6027 data_time: 0.0296 memory: 17350 grad_norm: 5.3165 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1569 loss: 2.1569 2022/07/22 09:24:15 - mmengine - INFO - Epoch(train) [13][1060/3757] lr: 1.0000e-02 eta: 2 days, 12:52:57 time: 0.7081 data_time: 0.0576 memory: 17350 grad_norm: 5.2237 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2071 loss: 2.2071 2022/07/22 09:24:28 - mmengine - INFO - Epoch(train) [13][1080/3757] lr: 1.0000e-02 eta: 2 days, 12:52:40 time: 0.6365 data_time: 0.0329 memory: 17350 grad_norm: 5.4609 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4139 loss: 2.4139 2022/07/22 09:24:42 - mmengine - INFO - Epoch(train) [13][1100/3757] lr: 1.0000e-02 eta: 2 days, 12:52:31 time: 0.7015 data_time: 0.0266 memory: 17350 grad_norm: 5.2820 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9428 loss: 1.9428 2022/07/22 09:24:54 - mmengine - INFO - Epoch(train) [13][1120/3757] lr: 1.0000e-02 eta: 2 days, 12:52:09 time: 0.6036 data_time: 0.0234 memory: 17350 grad_norm: 5.6278 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1860 loss: 2.1860 2022/07/22 09:25:09 - mmengine - INFO - Epoch(train) [13][1140/3757] lr: 1.0000e-02 eta: 2 days, 12:52:09 time: 0.7590 data_time: 0.0231 memory: 17350 grad_norm: 5.2551 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1229 loss: 2.1229 2022/07/22 09:25:21 - mmengine - INFO - Epoch(train) [13][1160/3757] lr: 1.0000e-02 eta: 2 days, 12:51:46 time: 0.5973 data_time: 0.0220 memory: 17350 grad_norm: 5.6073 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2676 loss: 2.2676 2022/07/22 09:25:36 - mmengine - INFO - Epoch(train) [13][1180/3757] lr: 1.0000e-02 eta: 2 days, 12:51:42 time: 0.7236 data_time: 0.0234 memory: 17350 grad_norm: 5.2866 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2323 loss: 2.2323 2022/07/22 09:25:49 - mmengine - INFO - Epoch(train) [13][1200/3757] lr: 1.0000e-02 eta: 2 days, 12:51:27 time: 0.6572 data_time: 0.0693 memory: 17350 grad_norm: 5.3633 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1192 loss: 2.1192 2022/07/22 09:26:02 - mmengine - INFO - Epoch(train) [13][1220/3757] lr: 1.0000e-02 eta: 2 days, 12:51:12 time: 0.6539 data_time: 0.1030 memory: 17350 grad_norm: 5.3234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9240 loss: 1.9240 2022/07/22 09:26:15 - mmengine - INFO - Epoch(train) [13][1240/3757] lr: 1.0000e-02 eta: 2 days, 12:50:59 time: 0.6657 data_time: 0.0223 memory: 17350 grad_norm: 5.4648 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9928 loss: 1.9928 2022/07/22 09:26:29 - mmengine - INFO - Epoch(train) [13][1260/3757] lr: 1.0000e-02 eta: 2 days, 12:50:49 time: 0.6889 data_time: 0.0308 memory: 17350 grad_norm: 5.3984 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3240 loss: 2.3240 2022/07/22 09:26:41 - mmengine - INFO - Epoch(train) [13][1280/3757] lr: 1.0000e-02 eta: 2 days, 12:50:29 time: 0.6161 data_time: 0.0235 memory: 17350 grad_norm: 5.1655 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9727 loss: 1.9727 2022/07/22 09:26:56 - mmengine - INFO - Epoch(train) [13][1300/3757] lr: 1.0000e-02 eta: 2 days, 12:50:23 time: 0.7207 data_time: 0.0210 memory: 17350 grad_norm: 5.2738 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1738 loss: 2.1738 2022/07/22 09:27:08 - mmengine - INFO - Epoch(train) [13][1320/3757] lr: 1.0000e-02 eta: 2 days, 12:50:03 time: 0.6137 data_time: 0.0211 memory: 17350 grad_norm: 5.5561 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1027 loss: 2.1027 2022/07/22 09:27:23 - mmengine - INFO - Epoch(train) [13][1340/3757] lr: 1.0000e-02 eta: 2 days, 12:50:00 time: 0.7360 data_time: 0.0241 memory: 17350 grad_norm: 5.5477 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1814 loss: 2.1814 2022/07/22 09:27:34 - mmengine - INFO - Epoch(train) [13][1360/3757] lr: 1.0000e-02 eta: 2 days, 12:49:35 time: 0.5851 data_time: 0.0220 memory: 17350 grad_norm: 5.4768 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2350 loss: 2.2350 2022/07/22 09:27:49 - mmengine - INFO - Epoch(train) [13][1380/3757] lr: 1.0000e-02 eta: 2 days, 12:49:30 time: 0.7266 data_time: 0.0220 memory: 17350 grad_norm: 5.4071 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0478 loss: 2.0478 2022/07/22 09:28:01 - mmengine - INFO - Epoch(train) [13][1400/3757] lr: 1.0000e-02 eta: 2 days, 12:49:10 time: 0.6139 data_time: 0.0246 memory: 17350 grad_norm: 5.4810 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8296 loss: 1.8296 2022/07/22 09:28:15 - mmengine - INFO - Epoch(train) [13][1420/3757] lr: 1.0000e-02 eta: 2 days, 12:48:59 time: 0.6853 data_time: 0.0208 memory: 17350 grad_norm: 5.6267 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1700 loss: 2.1700 2022/07/22 09:28:28 - mmengine - INFO - Epoch(train) [13][1440/3757] lr: 1.0000e-02 eta: 2 days, 12:48:42 time: 0.6357 data_time: 0.0234 memory: 17350 grad_norm: 5.4655 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0941 loss: 2.0941 2022/07/22 09:28:41 - mmengine - INFO - Epoch(train) [13][1460/3757] lr: 1.0000e-02 eta: 2 days, 12:48:28 time: 0.6614 data_time: 0.0221 memory: 17350 grad_norm: 5.3808 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0017 loss: 2.0017 2022/07/22 09:28:53 - mmengine - INFO - Epoch(train) [13][1480/3757] lr: 1.0000e-02 eta: 2 days, 12:48:09 time: 0.6260 data_time: 0.0416 memory: 17350 grad_norm: 5.6404 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2882 loss: 2.2882 2022/07/22 09:29:06 - mmengine - INFO - Epoch(train) [13][1500/3757] lr: 1.0000e-02 eta: 2 days, 12:47:54 time: 0.6517 data_time: 0.0425 memory: 17350 grad_norm: 5.4508 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1383 loss: 2.1383 2022/07/22 09:29:20 - mmengine - INFO - Epoch(train) [13][1520/3757] lr: 1.0000e-02 eta: 2 days, 12:47:45 time: 0.6967 data_time: 0.1006 memory: 17350 grad_norm: 5.3011 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1290 loss: 2.1290 2022/07/22 09:29:33 - mmengine - INFO - Epoch(train) [13][1540/3757] lr: 1.0000e-02 eta: 2 days, 12:47:30 time: 0.6545 data_time: 0.0842 memory: 17350 grad_norm: 5.4094 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2287 loss: 2.2287 2022/07/22 09:29:48 - mmengine - INFO - Epoch(train) [13][1560/3757] lr: 1.0000e-02 eta: 2 days, 12:47:25 time: 0.7231 data_time: 0.0492 memory: 17350 grad_norm: 5.4333 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3231 loss: 2.3231 2022/07/22 09:30:01 - mmengine - INFO - Epoch(train) [13][1580/3757] lr: 1.0000e-02 eta: 2 days, 12:47:12 time: 0.6637 data_time: 0.0252 memory: 17350 grad_norm: 5.4018 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1743 loss: 2.1743 2022/07/22 09:30:16 - mmengine - INFO - Epoch(train) [13][1600/3757] lr: 1.0000e-02 eta: 2 days, 12:47:06 time: 0.7192 data_time: 0.0291 memory: 17350 grad_norm: 5.5473 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0272 loss: 2.0272 2022/07/22 09:30:27 - mmengine - INFO - Epoch(train) [13][1620/3757] lr: 1.0000e-02 eta: 2 days, 12:46:41 time: 0.5811 data_time: 0.0211 memory: 17350 grad_norm: 5.5467 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9260 loss: 1.9260 2022/07/22 09:30:42 - mmengine - INFO - Epoch(train) [13][1640/3757] lr: 1.0000e-02 eta: 2 days, 12:46:37 time: 0.7290 data_time: 0.0667 memory: 17350 grad_norm: 5.4907 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2173 loss: 2.2173 2022/07/22 09:30:54 - mmengine - INFO - Epoch(train) [13][1660/3757] lr: 1.0000e-02 eta: 2 days, 12:46:18 time: 0.6253 data_time: 0.0496 memory: 17350 grad_norm: 5.5233 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4001 loss: 2.4001 2022/07/22 09:31:07 - mmengine - INFO - Epoch(train) [13][1680/3757] lr: 1.0000e-02 eta: 2 days, 12:46:02 time: 0.6445 data_time: 0.0240 memory: 17350 grad_norm: 5.6105 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4529 loss: 2.4529 2022/07/22 09:31:21 - mmengine - INFO - Epoch(train) [13][1700/3757] lr: 1.0000e-02 eta: 2 days, 12:45:49 time: 0.6663 data_time: 0.0546 memory: 17350 grad_norm: 5.3609 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1280 loss: 2.1280 2022/07/22 09:31:34 - mmengine - INFO - Epoch(train) [13][1720/3757] lr: 1.0000e-02 eta: 2 days, 12:45:38 time: 0.6857 data_time: 0.0236 memory: 17350 grad_norm: 5.4941 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0449 loss: 2.0449 2022/07/22 09:31:47 - mmengine - INFO - Epoch(train) [13][1740/3757] lr: 1.0000e-02 eta: 2 days, 12:45:21 time: 0.6397 data_time: 0.0223 memory: 17350 grad_norm: 5.2890 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3060 loss: 2.3060 2022/07/22 09:32:00 - mmengine - INFO - Epoch(train) [13][1760/3757] lr: 1.0000e-02 eta: 2 days, 12:45:09 time: 0.6692 data_time: 0.0222 memory: 17350 grad_norm: 5.4498 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2572 loss: 2.2572 2022/07/22 09:32:14 - mmengine - INFO - Epoch(train) [13][1780/3757] lr: 1.0000e-02 eta: 2 days, 12:44:57 time: 0.6795 data_time: 0.0216 memory: 17350 grad_norm: 5.5199 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8426 loss: 1.8426 2022/07/22 09:32:27 - mmengine - INFO - Epoch(train) [13][1800/3757] lr: 1.0000e-02 eta: 2 days, 12:44:42 time: 0.6491 data_time: 0.0227 memory: 17350 grad_norm: 5.3750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2481 loss: 2.2481 2022/07/22 09:32:41 - mmengine - INFO - Epoch(train) [13][1820/3757] lr: 1.0000e-02 eta: 2 days, 12:44:31 time: 0.6801 data_time: 0.0217 memory: 17350 grad_norm: 5.2947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3578 loss: 2.3578 2022/07/22 09:32:54 - mmengine - INFO - Epoch(train) [13][1840/3757] lr: 1.0000e-02 eta: 2 days, 12:44:14 time: 0.6447 data_time: 0.0244 memory: 17350 grad_norm: 5.3017 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0625 loss: 2.0625 2022/07/22 09:33:08 - mmengine - INFO - Epoch(train) [13][1860/3757] lr: 1.0000e-02 eta: 2 days, 12:44:07 time: 0.7058 data_time: 0.0208 memory: 17350 grad_norm: 5.5521 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0812 loss: 2.0812 2022/07/22 09:33:20 - mmengine - INFO - Epoch(train) [13][1880/3757] lr: 1.0000e-02 eta: 2 days, 12:43:48 time: 0.6296 data_time: 0.0229 memory: 17350 grad_norm: 5.2859 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9771 loss: 1.9771 2022/07/22 09:33:34 - mmengine - INFO - Epoch(train) [13][1900/3757] lr: 1.0000e-02 eta: 2 days, 12:43:39 time: 0.6924 data_time: 0.0222 memory: 17350 grad_norm: 5.3150 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3246 loss: 2.3246 2022/07/22 09:33:45 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 09:33:46 - mmengine - INFO - Epoch(train) [13][1920/3757] lr: 1.0000e-02 eta: 2 days, 12:43:18 time: 0.6110 data_time: 0.0224 memory: 17350 grad_norm: 5.4900 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2300 loss: 2.2300 2022/07/22 09:34:01 - mmengine - INFO - Epoch(train) [13][1940/3757] lr: 1.0000e-02 eta: 2 days, 12:43:12 time: 0.7149 data_time: 0.0215 memory: 17350 grad_norm: 5.4451 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9128 loss: 1.9128 2022/07/22 09:34:13 - mmengine - INFO - Epoch(train) [13][1960/3757] lr: 1.0000e-02 eta: 2 days, 12:42:53 time: 0.6222 data_time: 0.0247 memory: 17350 grad_norm: 5.5321 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0426 loss: 2.0426 2022/07/22 09:34:27 - mmengine - INFO - Epoch(train) [13][1980/3757] lr: 1.0000e-02 eta: 2 days, 12:42:45 time: 0.7071 data_time: 0.0187 memory: 17350 grad_norm: 5.4718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9879 loss: 1.9879 2022/07/22 09:34:40 - mmengine - INFO - Epoch(train) [13][2000/3757] lr: 1.0000e-02 eta: 2 days, 12:42:25 time: 0.6158 data_time: 0.0236 memory: 17350 grad_norm: 5.3807 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.4001 loss: 2.4001 2022/07/22 09:34:54 - mmengine - INFO - Epoch(train) [13][2020/3757] lr: 1.0000e-02 eta: 2 days, 12:42:21 time: 0.7300 data_time: 0.0145 memory: 17350 grad_norm: 5.3218 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9244 loss: 1.9244 2022/07/22 09:35:08 - mmengine - INFO - Epoch(train) [13][2040/3757] lr: 1.0000e-02 eta: 2 days, 12:42:12 time: 0.6974 data_time: 0.0242 memory: 17350 grad_norm: 5.5178 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8713 loss: 1.8713 2022/07/22 09:35:22 - mmengine - INFO - Epoch(train) [13][2060/3757] lr: 1.0000e-02 eta: 2 days, 12:42:02 time: 0.6895 data_time: 0.0216 memory: 17350 grad_norm: 5.1143 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1437 loss: 2.1437 2022/07/22 09:35:34 - mmengine - INFO - Epoch(train) [13][2080/3757] lr: 1.0000e-02 eta: 2 days, 12:41:39 time: 0.5953 data_time: 0.0237 memory: 17350 grad_norm: 5.5548 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4407 loss: 2.4407 2022/07/22 09:35:49 - mmengine - INFO - Epoch(train) [13][2100/3757] lr: 1.0000e-02 eta: 2 days, 12:41:37 time: 0.7473 data_time: 0.0201 memory: 17350 grad_norm: 5.4430 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9935 loss: 1.9935 2022/07/22 09:36:00 - mmengine - INFO - Epoch(train) [13][2120/3757] lr: 1.0000e-02 eta: 2 days, 12:41:13 time: 0.5865 data_time: 0.0231 memory: 17350 grad_norm: 5.4113 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2545 loss: 2.2545 2022/07/22 09:36:15 - mmengine - INFO - Epoch(train) [13][2140/3757] lr: 1.0000e-02 eta: 2 days, 12:41:08 time: 0.7251 data_time: 0.0227 memory: 17350 grad_norm: 5.3777 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4436 loss: 2.4436 2022/07/22 09:36:27 - mmengine - INFO - Epoch(train) [13][2160/3757] lr: 1.0000e-02 eta: 2 days, 12:40:45 time: 0.5984 data_time: 0.0230 memory: 17350 grad_norm: 5.3459 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2123 loss: 2.2123 2022/07/22 09:36:41 - mmengine - INFO - Epoch(train) [13][2180/3757] lr: 1.0000e-02 eta: 2 days, 12:40:41 time: 0.7265 data_time: 0.0213 memory: 17350 grad_norm: 5.2114 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0433 loss: 2.0433 2022/07/22 09:36:53 - mmengine - INFO - Epoch(train) [13][2200/3757] lr: 1.0000e-02 eta: 2 days, 12:40:15 time: 0.5788 data_time: 0.0245 memory: 17350 grad_norm: 5.3054 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2939 loss: 2.2939 2022/07/22 09:37:07 - mmengine - INFO - Epoch(train) [13][2220/3757] lr: 1.0000e-02 eta: 2 days, 12:40:08 time: 0.7089 data_time: 0.0216 memory: 17350 grad_norm: 5.4381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0875 loss: 2.0875 2022/07/22 09:37:20 - mmengine - INFO - Epoch(train) [13][2240/3757] lr: 1.0000e-02 eta: 2 days, 12:39:48 time: 0.6170 data_time: 0.0238 memory: 17350 grad_norm: 5.2994 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9050 loss: 1.9050 2022/07/22 09:37:35 - mmengine - INFO - Epoch(train) [13][2260/3757] lr: 1.0000e-02 eta: 2 days, 12:39:50 time: 0.7773 data_time: 0.0211 memory: 17350 grad_norm: 5.3459 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2352 loss: 2.2352 2022/07/22 09:37:47 - mmengine - INFO - Epoch(train) [13][2280/3757] lr: 1.0000e-02 eta: 2 days, 12:39:27 time: 0.5938 data_time: 0.0228 memory: 17350 grad_norm: 5.2962 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8720 loss: 1.8720 2022/07/22 09:38:01 - mmengine - INFO - Epoch(train) [13][2300/3757] lr: 1.0000e-02 eta: 2 days, 12:39:19 time: 0.6989 data_time: 0.0221 memory: 17350 grad_norm: 5.4960 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1704 loss: 2.1704 2022/07/22 09:38:13 - mmengine - INFO - Epoch(train) [13][2320/3757] lr: 1.0000e-02 eta: 2 days, 12:38:56 time: 0.5984 data_time: 0.0278 memory: 17350 grad_norm: 5.2772 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2044 loss: 2.2044 2022/07/22 09:38:28 - mmengine - INFO - Epoch(train) [13][2340/3757] lr: 1.0000e-02 eta: 2 days, 12:38:54 time: 0.7466 data_time: 0.0226 memory: 17350 grad_norm: 5.5585 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2381 loss: 2.2381 2022/07/22 09:38:40 - mmengine - INFO - Epoch(train) [13][2360/3757] lr: 1.0000e-02 eta: 2 days, 12:38:34 time: 0.6157 data_time: 0.0268 memory: 17350 grad_norm: 5.3829 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1457 loss: 2.1457 2022/07/22 09:38:55 - mmengine - INFO - Epoch(train) [13][2380/3757] lr: 1.0000e-02 eta: 2 days, 12:38:29 time: 0.7257 data_time: 0.0205 memory: 17350 grad_norm: 5.0469 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8735 loss: 1.8735 2022/07/22 09:39:06 - mmengine - INFO - Epoch(train) [13][2400/3757] lr: 1.0000e-02 eta: 2 days, 12:38:04 time: 0.5834 data_time: 0.0267 memory: 17350 grad_norm: 5.5986 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2024 loss: 2.2024 2022/07/22 09:39:21 - mmengine - INFO - Epoch(train) [13][2420/3757] lr: 1.0000e-02 eta: 2 days, 12:38:01 time: 0.7344 data_time: 0.0214 memory: 17350 grad_norm: 5.2713 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0263 loss: 2.0263 2022/07/22 09:39:33 - mmengine - INFO - Epoch(train) [13][2440/3757] lr: 1.0000e-02 eta: 2 days, 12:37:38 time: 0.6001 data_time: 0.0244 memory: 17350 grad_norm: 5.3753 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0413 loss: 2.0413 2022/07/22 09:39:48 - mmengine - INFO - Epoch(train) [13][2460/3757] lr: 1.0000e-02 eta: 2 days, 12:37:34 time: 0.7298 data_time: 0.0139 memory: 17350 grad_norm: 5.4922 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2481 loss: 2.2481 2022/07/22 09:40:00 - mmengine - INFO - Epoch(train) [13][2480/3757] lr: 1.0000e-02 eta: 2 days, 12:37:12 time: 0.6003 data_time: 0.0242 memory: 17350 grad_norm: 5.2015 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2200 loss: 2.2200 2022/07/22 09:40:15 - mmengine - INFO - Epoch(train) [13][2500/3757] lr: 1.0000e-02 eta: 2 days, 12:37:14 time: 0.7766 data_time: 0.0216 memory: 17350 grad_norm: 5.3772 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0538 loss: 2.0538 2022/07/22 09:40:27 - mmengine - INFO - Epoch(train) [13][2520/3757] lr: 1.0000e-02 eta: 2 days, 12:36:48 time: 0.5732 data_time: 0.0225 memory: 17350 grad_norm: 5.3421 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2943 loss: 2.2943 2022/07/22 09:40:41 - mmengine - INFO - Epoch(train) [13][2540/3757] lr: 1.0000e-02 eta: 2 days, 12:36:44 time: 0.7326 data_time: 0.0221 memory: 17350 grad_norm: 5.4065 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0503 loss: 2.0503 2022/07/22 09:40:54 - mmengine - INFO - Epoch(train) [13][2560/3757] lr: 1.0000e-02 eta: 2 days, 12:36:26 time: 0.6319 data_time: 0.0254 memory: 17350 grad_norm: 5.2444 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2367 loss: 2.2367 2022/07/22 09:41:08 - mmengine - INFO - Epoch(train) [13][2580/3757] lr: 1.0000e-02 eta: 2 days, 12:36:18 time: 0.7038 data_time: 0.0201 memory: 17350 grad_norm: 5.3311 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1173 loss: 2.1173 2022/07/22 09:41:21 - mmengine - INFO - Epoch(train) [13][2600/3757] lr: 1.0000e-02 eta: 2 days, 12:35:59 time: 0.6243 data_time: 0.0260 memory: 17350 grad_norm: 5.4514 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1766 loss: 2.1766 2022/07/22 09:41:34 - mmengine - INFO - Epoch(train) [13][2620/3757] lr: 1.0000e-02 eta: 2 days, 12:35:50 time: 0.6922 data_time: 0.0213 memory: 17350 grad_norm: 5.3951 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0532 loss: 2.0532 2022/07/22 09:41:46 - mmengine - INFO - Epoch(train) [13][2640/3757] lr: 1.0000e-02 eta: 2 days, 12:35:24 time: 0.5766 data_time: 0.0169 memory: 17350 grad_norm: 5.4086 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1764 loss: 2.1764 2022/07/22 09:42:01 - mmengine - INFO - Epoch(train) [13][2660/3757] lr: 1.0000e-02 eta: 2 days, 12:35:21 time: 0.7414 data_time: 0.0216 memory: 17350 grad_norm: 5.6517 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1495 loss: 2.1495 2022/07/22 09:42:12 - mmengine - INFO - Epoch(train) [13][2680/3757] lr: 1.0000e-02 eta: 2 days, 12:34:57 time: 0.5845 data_time: 0.0217 memory: 17350 grad_norm: 5.2304 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1926 loss: 2.1926 2022/07/22 09:42:27 - mmengine - INFO - Epoch(train) [13][2700/3757] lr: 1.0000e-02 eta: 2 days, 12:34:54 time: 0.7441 data_time: 0.0226 memory: 17350 grad_norm: 5.3421 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0963 loss: 2.0963 2022/07/22 09:42:39 - mmengine - INFO - Epoch(train) [13][2720/3757] lr: 1.0000e-02 eta: 2 days, 12:34:31 time: 0.5930 data_time: 0.0231 memory: 17350 grad_norm: 5.4764 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1948 loss: 2.1948 2022/07/22 09:42:53 - mmengine - INFO - Epoch(train) [13][2740/3757] lr: 1.0000e-02 eta: 2 days, 12:34:22 time: 0.6937 data_time: 0.0214 memory: 17350 grad_norm: 5.3596 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3856 loss: 2.3856 2022/07/22 09:43:05 - mmengine - INFO - Epoch(train) [13][2760/3757] lr: 1.0000e-02 eta: 2 days, 12:34:01 time: 0.6090 data_time: 0.0224 memory: 17350 grad_norm: 5.2702 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0992 loss: 2.0992 2022/07/22 09:43:19 - mmengine - INFO - Epoch(train) [13][2780/3757] lr: 1.0000e-02 eta: 2 days, 12:33:52 time: 0.6984 data_time: 0.0207 memory: 17350 grad_norm: 5.4019 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5788 loss: 2.5788 2022/07/22 09:43:31 - mmengine - INFO - Epoch(train) [13][2800/3757] lr: 1.0000e-02 eta: 2 days, 12:33:31 time: 0.6057 data_time: 0.0223 memory: 17350 grad_norm: 5.5403 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0126 loss: 2.0126 2022/07/22 09:43:46 - mmengine - INFO - Epoch(train) [13][2820/3757] lr: 1.0000e-02 eta: 2 days, 12:33:24 time: 0.7152 data_time: 0.0233 memory: 17350 grad_norm: 5.3953 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1672 loss: 2.1672 2022/07/22 09:43:58 - mmengine - INFO - Epoch(train) [13][2840/3757] lr: 1.0000e-02 eta: 2 days, 12:33:05 time: 0.6181 data_time: 0.0293 memory: 17350 grad_norm: 5.2970 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3033 loss: 2.3033 2022/07/22 09:44:13 - mmengine - INFO - Epoch(train) [13][2860/3757] lr: 1.0000e-02 eta: 2 days, 12:33:01 time: 0.7358 data_time: 0.0232 memory: 17350 grad_norm: 5.3222 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0479 loss: 2.0479 2022/07/22 09:44:25 - mmengine - INFO - Epoch(train) [13][2880/3757] lr: 1.0000e-02 eta: 2 days, 12:32:40 time: 0.6068 data_time: 0.0237 memory: 17350 grad_norm: 5.2652 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1184 loss: 2.1184 2022/07/22 09:44:40 - mmengine - INFO - Epoch(train) [13][2900/3757] lr: 1.0000e-02 eta: 2 days, 12:32:37 time: 0.7425 data_time: 0.0220 memory: 17350 grad_norm: 5.2686 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1142 loss: 2.1142 2022/07/22 09:44:51 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 09:44:52 - mmengine - INFO - Epoch(train) [13][2920/3757] lr: 1.0000e-02 eta: 2 days, 12:32:17 time: 0.6170 data_time: 0.0224 memory: 17350 grad_norm: 5.3462 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2333 loss: 2.2333 2022/07/22 09:45:07 - mmengine - INFO - Epoch(train) [13][2940/3757] lr: 1.0000e-02 eta: 2 days, 12:32:11 time: 0.7202 data_time: 0.0241 memory: 17350 grad_norm: 5.4387 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1342 loss: 2.1342 2022/07/22 09:45:19 - mmengine - INFO - Epoch(train) [13][2960/3757] lr: 1.0000e-02 eta: 2 days, 12:31:50 time: 0.6091 data_time: 0.0292 memory: 17350 grad_norm: 5.4963 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2428 loss: 2.2428 2022/07/22 09:45:33 - mmengine - INFO - Epoch(train) [13][2980/3757] lr: 1.0000e-02 eta: 2 days, 12:31:47 time: 0.7353 data_time: 0.0230 memory: 17350 grad_norm: 5.4922 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3496 loss: 2.3496 2022/07/22 09:45:45 - mmengine - INFO - Epoch(train) [13][3000/3757] lr: 1.0000e-02 eta: 2 days, 12:31:22 time: 0.5838 data_time: 0.0230 memory: 17350 grad_norm: 5.6324 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9301 loss: 1.9301 2022/07/22 09:45:59 - mmengine - INFO - Epoch(train) [13][3020/3757] lr: 1.0000e-02 eta: 2 days, 12:31:15 time: 0.7101 data_time: 0.0224 memory: 17350 grad_norm: 5.3717 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9229 loss: 1.9229 2022/07/22 09:46:11 - mmengine - INFO - Epoch(train) [13][3040/3757] lr: 1.0000e-02 eta: 2 days, 12:30:50 time: 0.5776 data_time: 0.0236 memory: 17350 grad_norm: 5.3316 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0114 loss: 2.0114 2022/07/22 09:46:25 - mmengine - INFO - Epoch(train) [13][3060/3757] lr: 1.0000e-02 eta: 2 days, 12:30:44 time: 0.7200 data_time: 0.0229 memory: 17350 grad_norm: 5.1901 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1206 loss: 2.1206 2022/07/22 09:46:37 - mmengine - INFO - Epoch(train) [13][3080/3757] lr: 1.0000e-02 eta: 2 days, 12:30:22 time: 0.6002 data_time: 0.0221 memory: 17350 grad_norm: 5.3179 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2799 loss: 2.2799 2022/07/22 09:46:51 - mmengine - INFO - Epoch(train) [13][3100/3757] lr: 1.0000e-02 eta: 2 days, 12:30:14 time: 0.7023 data_time: 0.0224 memory: 17350 grad_norm: 5.3515 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2680 loss: 2.2680 2022/07/22 09:47:03 - mmengine - INFO - Epoch(train) [13][3120/3757] lr: 1.0000e-02 eta: 2 days, 12:29:52 time: 0.6002 data_time: 0.0224 memory: 17350 grad_norm: 5.3825 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1377 loss: 2.1377 2022/07/22 09:47:18 - mmengine - INFO - Epoch(train) [13][3140/3757] lr: 1.0000e-02 eta: 2 days, 12:29:48 time: 0.7396 data_time: 0.0235 memory: 17350 grad_norm: 5.5216 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3750 loss: 2.3750 2022/07/22 09:47:30 - mmengine - INFO - Epoch(train) [13][3160/3757] lr: 1.0000e-02 eta: 2 days, 12:29:26 time: 0.6004 data_time: 0.0231 memory: 17350 grad_norm: 5.3237 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0952 loss: 2.0952 2022/07/22 09:47:44 - mmengine - INFO - Epoch(train) [13][3180/3757] lr: 1.0000e-02 eta: 2 days, 12:29:17 time: 0.6961 data_time: 0.0222 memory: 17350 grad_norm: 5.3917 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4065 loss: 2.4065 2022/07/22 09:47:57 - mmengine - INFO - Epoch(train) [13][3200/3757] lr: 1.0000e-02 eta: 2 days, 12:29:00 time: 0.6330 data_time: 0.0224 memory: 17350 grad_norm: 5.4418 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1658 loss: 2.1658 2022/07/22 09:48:11 - mmengine - INFO - Epoch(train) [13][3220/3757] lr: 1.0000e-02 eta: 2 days, 12:28:51 time: 0.6980 data_time: 0.0218 memory: 17350 grad_norm: 5.3517 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1282 loss: 2.1282 2022/07/22 09:48:23 - mmengine - INFO - Epoch(train) [13][3240/3757] lr: 1.0000e-02 eta: 2 days, 12:28:30 time: 0.6117 data_time: 0.0249 memory: 17350 grad_norm: 5.3735 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3935 loss: 2.3935 2022/07/22 09:48:37 - mmengine - INFO - Epoch(train) [13][3260/3757] lr: 1.0000e-02 eta: 2 days, 12:28:24 time: 0.7159 data_time: 0.0220 memory: 17350 grad_norm: 5.5125 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0887 loss: 2.0887 2022/07/22 09:48:50 - mmengine - INFO - Epoch(train) [13][3280/3757] lr: 1.0000e-02 eta: 2 days, 12:28:04 time: 0.6168 data_time: 0.0238 memory: 17350 grad_norm: 5.1981 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0008 loss: 2.0008 2022/07/22 09:49:04 - mmengine - INFO - Epoch(train) [13][3300/3757] lr: 1.0000e-02 eta: 2 days, 12:27:57 time: 0.7083 data_time: 0.0249 memory: 17350 grad_norm: 5.4272 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5165 loss: 2.5165 2022/07/22 09:49:16 - mmengine - INFO - Epoch(train) [13][3320/3757] lr: 1.0000e-02 eta: 2 days, 12:27:38 time: 0.6239 data_time: 0.0218 memory: 17350 grad_norm: 5.3895 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0101 loss: 2.0101 2022/07/22 09:49:30 - mmengine - INFO - Epoch(train) [13][3340/3757] lr: 1.0000e-02 eta: 2 days, 12:27:26 time: 0.6759 data_time: 0.0234 memory: 17350 grad_norm: 5.3898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1711 loss: 2.1711 2022/07/22 09:49:43 - mmengine - INFO - Epoch(train) [13][3360/3757] lr: 1.0000e-02 eta: 2 days, 12:27:14 time: 0.6769 data_time: 0.0358 memory: 17350 grad_norm: 5.1513 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1023 loss: 2.1023 2022/07/22 09:49:57 - mmengine - INFO - Epoch(train) [13][3380/3757] lr: 1.0000e-02 eta: 2 days, 12:27:02 time: 0.6696 data_time: 0.0268 memory: 17350 grad_norm: 5.4260 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5271 loss: 2.5271 2022/07/22 09:50:10 - mmengine - INFO - Epoch(train) [13][3400/3757] lr: 1.0000e-02 eta: 2 days, 12:26:48 time: 0.6636 data_time: 0.0479 memory: 17350 grad_norm: 5.3082 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8162 loss: 1.8162 2022/07/22 09:50:24 - mmengine - INFO - Epoch(train) [13][3420/3757] lr: 1.0000e-02 eta: 2 days, 12:26:36 time: 0.6774 data_time: 0.0637 memory: 17350 grad_norm: 5.3474 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1587 loss: 2.1587 2022/07/22 09:50:37 - mmengine - INFO - Epoch(train) [13][3440/3757] lr: 1.0000e-02 eta: 2 days, 12:26:26 time: 0.6852 data_time: 0.0303 memory: 17350 grad_norm: 5.2721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8531 loss: 1.8531 2022/07/22 09:50:50 - mmengine - INFO - Epoch(train) [13][3460/3757] lr: 1.0000e-02 eta: 2 days, 12:26:10 time: 0.6463 data_time: 0.0601 memory: 17350 grad_norm: 5.4060 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1246 loss: 2.1246 2022/07/22 09:51:03 - mmengine - INFO - Epoch(train) [13][3480/3757] lr: 1.0000e-02 eta: 2 days, 12:25:53 time: 0.6412 data_time: 0.0352 memory: 17350 grad_norm: 5.3543 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1391 loss: 2.1391 2022/07/22 09:51:17 - mmengine - INFO - Epoch(train) [13][3500/3757] lr: 1.0000e-02 eta: 2 days, 12:25:47 time: 0.7132 data_time: 0.0249 memory: 17350 grad_norm: 5.3353 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1113 loss: 2.1113 2022/07/22 09:51:30 - mmengine - INFO - Epoch(train) [13][3520/3757] lr: 1.0000e-02 eta: 2 days, 12:25:30 time: 0.6437 data_time: 0.0619 memory: 17350 grad_norm: 5.3725 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9332 loss: 1.9332 2022/07/22 09:51:44 - mmengine - INFO - Epoch(train) [13][3540/3757] lr: 1.0000e-02 eta: 2 days, 12:25:21 time: 0.6945 data_time: 0.0884 memory: 17350 grad_norm: 5.5334 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3715 loss: 2.3715 2022/07/22 09:51:57 - mmengine - INFO - Epoch(train) [13][3560/3757] lr: 1.0000e-02 eta: 2 days, 12:25:07 time: 0.6586 data_time: 0.0217 memory: 17350 grad_norm: 5.3514 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1884 loss: 2.1884 2022/07/22 09:52:10 - mmengine - INFO - Epoch(train) [13][3580/3757] lr: 1.0000e-02 eta: 2 days, 12:24:53 time: 0.6635 data_time: 0.0237 memory: 17350 grad_norm: 5.3618 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0677 loss: 2.0677 2022/07/22 09:52:24 - mmengine - INFO - Epoch(train) [13][3600/3757] lr: 1.0000e-02 eta: 2 days, 12:24:39 time: 0.6589 data_time: 0.0250 memory: 17350 grad_norm: 5.3500 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2056 loss: 2.2056 2022/07/22 09:52:38 - mmengine - INFO - Epoch(train) [13][3620/3757] lr: 1.0000e-02 eta: 2 days, 12:24:33 time: 0.7141 data_time: 0.0224 memory: 17350 grad_norm: 5.3896 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2572 loss: 2.2572 2022/07/22 09:52:51 - mmengine - INFO - Epoch(train) [13][3640/3757] lr: 1.0000e-02 eta: 2 days, 12:24:17 time: 0.6511 data_time: 0.0249 memory: 17350 grad_norm: 5.3394 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2059 loss: 2.2059 2022/07/22 09:53:04 - mmengine - INFO - Epoch(train) [13][3660/3757] lr: 1.0000e-02 eta: 2 days, 12:24:00 time: 0.6371 data_time: 0.0234 memory: 17350 grad_norm: 5.1416 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9386 loss: 1.9386 2022/07/22 09:53:18 - mmengine - INFO - Epoch(train) [13][3680/3757] lr: 1.0000e-02 eta: 2 days, 12:23:55 time: 0.7250 data_time: 0.0213 memory: 17350 grad_norm: 5.2267 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1645 loss: 2.1645 2022/07/22 09:53:30 - mmengine - INFO - Epoch(train) [13][3700/3757] lr: 1.0000e-02 eta: 2 days, 12:23:32 time: 0.5892 data_time: 0.0221 memory: 17350 grad_norm: 5.3893 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2181 loss: 2.2181 2022/07/22 09:53:45 - mmengine - INFO - Epoch(train) [13][3720/3757] lr: 1.0000e-02 eta: 2 days, 12:23:30 time: 0.7491 data_time: 0.0222 memory: 17350 grad_norm: 5.3656 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9816 loss: 1.9816 2022/07/22 09:53:56 - mmengine - INFO - Epoch(train) [13][3740/3757] lr: 1.0000e-02 eta: 2 days, 12:23:03 time: 0.5642 data_time: 0.0217 memory: 17350 grad_norm: 5.4592 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7790 loss: 1.7790 2022/07/22 09:54:05 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 09:54:05 - mmengine - INFO - Epoch(train) [13][3757/3757] lr: 1.0000e-02 eta: 2 days, 12:23:03 time: 0.5045 data_time: 0.0210 memory: 17350 grad_norm: 5.5173 top1_acc: 0.2857 top5_acc: 0.2857 loss_cls: 2.1106 loss: 2.1106 2022/07/22 09:54:22 - mmengine - INFO - Epoch(val) [13][20/310] eta: 0:03:59 time: 0.8269 data_time: 0.7125 memory: 3406 2022/07/22 09:54:33 - mmengine - INFO - Epoch(val) [13][40/310] eta: 0:02:31 time: 0.5611 data_time: 0.4477 memory: 3406 2022/07/22 09:54:48 - mmengine - INFO - Epoch(val) [13][60/310] eta: 0:03:06 time: 0.7462 data_time: 0.6332 memory: 3406 2022/07/22 09:54:59 - mmengine - INFO - Epoch(val) [13][80/310] eta: 0:02:06 time: 0.5512 data_time: 0.4390 memory: 3406 2022/07/22 09:55:14 - mmengine - INFO - Epoch(val) [13][100/310] eta: 0:02:41 time: 0.7682 data_time: 0.6551 memory: 3406 2022/07/22 09:55:26 - mmengine - INFO - Epoch(val) [13][120/310] eta: 0:01:52 time: 0.5896 data_time: 0.4774 memory: 3406 2022/07/22 09:55:41 - mmengine - INFO - Epoch(val) [13][140/310] eta: 0:02:08 time: 0.7535 data_time: 0.6381 memory: 3406 2022/07/22 09:55:54 - mmengine - INFO - Epoch(val) [13][160/310] eta: 0:01:37 time: 0.6478 data_time: 0.5364 memory: 3406 2022/07/22 09:56:08 - mmengine - INFO - Epoch(val) [13][180/310] eta: 0:01:29 time: 0.6847 data_time: 0.5709 memory: 3406 2022/07/22 09:56:21 - mmengine - INFO - Epoch(val) [13][200/310] eta: 0:01:10 time: 0.6445 data_time: 0.5315 memory: 3406 2022/07/22 09:56:34 - mmengine - INFO - Epoch(val) [13][220/310] eta: 0:01:00 time: 0.6770 data_time: 0.5671 memory: 3406 2022/07/22 09:56:46 - mmengine - INFO - Epoch(val) [13][240/310] eta: 0:00:41 time: 0.5931 data_time: 0.4822 memory: 3406 2022/07/22 09:57:01 - mmengine - INFO - Epoch(val) [13][260/310] eta: 0:00:37 time: 0.7408 data_time: 0.6285 memory: 3406 2022/07/22 09:57:12 - mmengine - INFO - Epoch(val) [13][280/310] eta: 0:00:16 time: 0.5599 data_time: 0.4480 memory: 3406 2022/07/22 09:57:27 - mmengine - INFO - Epoch(val) [13][300/310] eta: 0:00:07 time: 0.7221 data_time: 0.6085 memory: 3406 2022/07/22 09:57:31 - mmengine - INFO - Epoch(val) [13][310/310] acc/top1: 0.5409 acc/top5: 0.7935 acc/mean1: 0.5408 2022/07/22 09:57:31 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_13.pth is removed 2022/07/22 09:57:35 - mmengine - INFO - The best checkpoint with 0.5409 acc/top1 at 14 epoch is saved to best_acc/top1_epoch_14.pth. 2022/07/22 09:57:52 - mmengine - INFO - Epoch(train) [14][20/3757] lr: 1.0000e-02 eta: 2 days, 12:21:50 time: 0.8683 data_time: 0.5377 memory: 17350 grad_norm: 5.2269 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2701 loss: 2.2701 2022/07/22 09:58:03 - mmengine - INFO - Epoch(train) [14][40/3757] lr: 1.0000e-02 eta: 2 days, 12:21:22 time: 0.5554 data_time: 0.2336 memory: 17350 grad_norm: 5.1599 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6923 loss: 1.6923 2022/07/22 09:58:17 - mmengine - INFO - Epoch(train) [14][60/3757] lr: 1.0000e-02 eta: 2 days, 12:21:13 time: 0.6994 data_time: 0.3765 memory: 17350 grad_norm: 5.3851 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1819 loss: 2.1819 2022/07/22 09:58:29 - mmengine - INFO - Epoch(train) [14][80/3757] lr: 1.0000e-02 eta: 2 days, 12:20:51 time: 0.5987 data_time: 0.2737 memory: 17350 grad_norm: 5.4096 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1850 loss: 2.1850 2022/07/22 09:58:43 - mmengine - INFO - Epoch(train) [14][100/3757] lr: 1.0000e-02 eta: 2 days, 12:20:41 time: 0.6912 data_time: 0.3745 memory: 17350 grad_norm: 5.4103 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9121 loss: 1.9121 2022/07/22 09:58:56 - mmengine - INFO - Epoch(train) [14][120/3757] lr: 1.0000e-02 eta: 2 days, 12:20:26 time: 0.6469 data_time: 0.3279 memory: 17350 grad_norm: 5.5287 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1047 loss: 2.1047 2022/07/22 09:59:10 - mmengine - INFO - Epoch(train) [14][140/3757] lr: 1.0000e-02 eta: 2 days, 12:20:15 time: 0.6849 data_time: 0.3713 memory: 17350 grad_norm: 5.2706 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0779 loss: 2.0779 2022/07/22 09:59:22 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 09:59:23 - mmengine - INFO - Epoch(train) [14][160/3757] lr: 1.0000e-02 eta: 2 days, 12:19:58 time: 0.6401 data_time: 0.2775 memory: 17350 grad_norm: 5.4333 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9592 loss: 1.9592 2022/07/22 09:59:37 - mmengine - INFO - Epoch(train) [14][180/3757] lr: 1.0000e-02 eta: 2 days, 12:19:50 time: 0.7009 data_time: 0.3026 memory: 17350 grad_norm: 5.2648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0117 loss: 2.0117 2022/07/22 09:59:50 - mmengine - INFO - Epoch(train) [14][200/3757] lr: 1.0000e-02 eta: 2 days, 12:19:36 time: 0.6582 data_time: 0.3258 memory: 17350 grad_norm: 5.5211 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2546 loss: 2.2546 2022/07/22 10:00:03 - mmengine - INFO - Epoch(train) [14][220/3757] lr: 1.0000e-02 eta: 2 days, 12:19:22 time: 0.6595 data_time: 0.2636 memory: 17350 grad_norm: 5.3074 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8808 loss: 1.8808 2022/07/22 10:00:16 - mmengine - INFO - Epoch(train) [14][240/3757] lr: 1.0000e-02 eta: 2 days, 12:19:09 time: 0.6684 data_time: 0.3027 memory: 17350 grad_norm: 5.3016 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3151 loss: 2.3151 2022/07/22 10:00:30 - mmengine - INFO - Epoch(train) [14][260/3757] lr: 1.0000e-02 eta: 2 days, 12:18:59 time: 0.6895 data_time: 0.2981 memory: 17350 grad_norm: 5.3768 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4532 loss: 2.4532 2022/07/22 10:00:44 - mmengine - INFO - Epoch(train) [14][280/3757] lr: 1.0000e-02 eta: 2 days, 12:18:45 time: 0.6647 data_time: 0.3208 memory: 17350 grad_norm: 5.4000 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9589 loss: 1.9589 2022/07/22 10:00:57 - mmengine - INFO - Epoch(train) [14][300/3757] lr: 1.0000e-02 eta: 2 days, 12:18:32 time: 0.6605 data_time: 0.3396 memory: 17350 grad_norm: 5.4256 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0149 loss: 2.0149 2022/07/22 10:01:10 - mmengine - INFO - Epoch(train) [14][320/3757] lr: 1.0000e-02 eta: 2 days, 12:18:17 time: 0.6511 data_time: 0.3273 memory: 17350 grad_norm: 5.4029 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9852 loss: 1.9852 2022/07/22 10:01:22 - mmengine - INFO - Epoch(train) [14][340/3757] lr: 1.0000e-02 eta: 2 days, 12:17:59 time: 0.6332 data_time: 0.3131 memory: 17350 grad_norm: 5.3228 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8738 loss: 1.8738 2022/07/22 10:01:37 - mmengine - INFO - Epoch(train) [14][360/3757] lr: 1.0000e-02 eta: 2 days, 12:17:52 time: 0.7115 data_time: 0.3849 memory: 17350 grad_norm: 5.4960 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0287 loss: 2.0287 2022/07/22 10:01:49 - mmengine - INFO - Epoch(train) [14][380/3757] lr: 1.0000e-02 eta: 2 days, 12:17:34 time: 0.6317 data_time: 0.3093 memory: 17350 grad_norm: 5.3167 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1505 loss: 2.1505 2022/07/22 10:02:03 - mmengine - INFO - Epoch(train) [14][400/3757] lr: 1.0000e-02 eta: 2 days, 12:17:21 time: 0.6689 data_time: 0.3445 memory: 17350 grad_norm: 5.3105 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1020 loss: 2.1020 2022/07/22 10:02:16 - mmengine - INFO - Epoch(train) [14][420/3757] lr: 1.0000e-02 eta: 2 days, 12:17:07 time: 0.6552 data_time: 0.3360 memory: 17350 grad_norm: 5.2803 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2079 loss: 2.2079 2022/07/22 10:02:29 - mmengine - INFO - Epoch(train) [14][440/3757] lr: 1.0000e-02 eta: 2 days, 12:16:52 time: 0.6543 data_time: 0.3358 memory: 17350 grad_norm: 5.3295 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9066 loss: 1.9066 2022/07/22 10:02:43 - mmengine - INFO - Epoch(train) [14][460/3757] lr: 1.0000e-02 eta: 2 days, 12:16:42 time: 0.6910 data_time: 0.3720 memory: 17350 grad_norm: 5.2332 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9801 loss: 1.9801 2022/07/22 10:02:56 - mmengine - INFO - Epoch(train) [14][480/3757] lr: 1.0000e-02 eta: 2 days, 12:16:26 time: 0.6415 data_time: 0.3219 memory: 17350 grad_norm: 5.5236 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4238 loss: 2.4238 2022/07/22 10:03:10 - mmengine - INFO - Epoch(train) [14][500/3757] lr: 1.0000e-02 eta: 2 days, 12:16:21 time: 0.7254 data_time: 0.3959 memory: 17350 grad_norm: 5.2583 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9445 loss: 1.9445 2022/07/22 10:03:22 - mmengine - INFO - Epoch(train) [14][520/3757] lr: 1.0000e-02 eta: 2 days, 12:16:00 time: 0.6067 data_time: 0.2752 memory: 17350 grad_norm: 5.4365 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1203 loss: 2.1203 2022/07/22 10:03:36 - mmengine - INFO - Epoch(train) [14][540/3757] lr: 1.0000e-02 eta: 2 days, 12:15:49 time: 0.6840 data_time: 0.3033 memory: 17350 grad_norm: 5.3990 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0924 loss: 2.0924 2022/07/22 10:03:49 - mmengine - INFO - Epoch(train) [14][560/3757] lr: 1.0000e-02 eta: 2 days, 12:15:31 time: 0.6324 data_time: 0.2817 memory: 17350 grad_norm: 5.4848 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8883 loss: 1.8883 2022/07/22 10:04:02 - mmengine - INFO - Epoch(train) [14][580/3757] lr: 1.0000e-02 eta: 2 days, 12:15:22 time: 0.6907 data_time: 0.2870 memory: 17350 grad_norm: 5.5550 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2177 loss: 2.2177 2022/07/22 10:04:15 - mmengine - INFO - Epoch(train) [14][600/3757] lr: 1.0000e-02 eta: 2 days, 12:15:04 time: 0.6306 data_time: 0.2559 memory: 17350 grad_norm: 5.2344 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1698 loss: 2.1698 2022/07/22 10:04:29 - mmengine - INFO - Epoch(train) [14][620/3757] lr: 1.0000e-02 eta: 2 days, 12:14:56 time: 0.7070 data_time: 0.2814 memory: 17350 grad_norm: 5.2632 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0046 loss: 2.0046 2022/07/22 10:04:42 - mmengine - INFO - Epoch(train) [14][640/3757] lr: 1.0000e-02 eta: 2 days, 12:14:40 time: 0.6411 data_time: 0.2354 memory: 17350 grad_norm: 5.2659 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9780 loss: 1.9780 2022/07/22 10:04:56 - mmengine - INFO - Epoch(train) [14][660/3757] lr: 1.0000e-02 eta: 2 days, 12:14:32 time: 0.7085 data_time: 0.2169 memory: 17350 grad_norm: 5.2811 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3193 loss: 2.3193 2022/07/22 10:05:09 - mmengine - INFO - Epoch(train) [14][680/3757] lr: 1.0000e-02 eta: 2 days, 12:14:18 time: 0.6628 data_time: 0.1868 memory: 17350 grad_norm: 5.2097 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9949 loss: 1.9949 2022/07/22 10:05:23 - mmengine - INFO - Epoch(train) [14][700/3757] lr: 1.0000e-02 eta: 2 days, 12:14:08 time: 0.6903 data_time: 0.2252 memory: 17350 grad_norm: 5.3148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8016 loss: 1.8016 2022/07/22 10:05:36 - mmengine - INFO - Epoch(train) [14][720/3757] lr: 1.0000e-02 eta: 2 days, 12:13:50 time: 0.6224 data_time: 0.1465 memory: 17350 grad_norm: 5.2616 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0692 loss: 2.0692 2022/07/22 10:05:49 - mmengine - INFO - Epoch(train) [14][740/3757] lr: 1.0000e-02 eta: 2 days, 12:13:36 time: 0.6622 data_time: 0.1913 memory: 17350 grad_norm: 5.3675 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0225 loss: 2.0225 2022/07/22 10:06:02 - mmengine - INFO - Epoch(train) [14][760/3757] lr: 1.0000e-02 eta: 2 days, 12:13:20 time: 0.6427 data_time: 0.1423 memory: 17350 grad_norm: 5.4828 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1832 loss: 2.1832 2022/07/22 10:06:15 - mmengine - INFO - Epoch(train) [14][780/3757] lr: 1.0000e-02 eta: 2 days, 12:13:09 time: 0.6865 data_time: 0.3154 memory: 17350 grad_norm: 5.4278 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9018 loss: 1.9018 2022/07/22 10:06:29 - mmengine - INFO - Epoch(train) [14][800/3757] lr: 1.0000e-02 eta: 2 days, 12:12:54 time: 0.6518 data_time: 0.1814 memory: 17350 grad_norm: 5.2415 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0661 loss: 2.0661 2022/07/22 10:06:42 - mmengine - INFO - Epoch(train) [14][820/3757] lr: 1.0000e-02 eta: 2 days, 12:12:41 time: 0.6632 data_time: 0.2187 memory: 17350 grad_norm: 5.3306 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9803 loss: 1.9803 2022/07/22 10:06:55 - mmengine - INFO - Epoch(train) [14][840/3757] lr: 1.0000e-02 eta: 2 days, 12:12:28 time: 0.6654 data_time: 0.1258 memory: 17350 grad_norm: 5.1544 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0652 loss: 2.0652 2022/07/22 10:07:08 - mmengine - INFO - Epoch(train) [14][860/3757] lr: 1.0000e-02 eta: 2 days, 12:12:11 time: 0.6405 data_time: 0.0506 memory: 17350 grad_norm: 5.4593 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9351 loss: 1.9351 2022/07/22 10:07:23 - mmengine - INFO - Epoch(train) [14][880/3757] lr: 1.0000e-02 eta: 2 days, 12:12:08 time: 0.7432 data_time: 0.0244 memory: 17350 grad_norm: 5.4194 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1056 loss: 2.1056 2022/07/22 10:07:35 - mmengine - INFO - Epoch(train) [14][900/3757] lr: 1.0000e-02 eta: 2 days, 12:11:47 time: 0.6051 data_time: 0.0585 memory: 17350 grad_norm: 5.4728 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9563 loss: 1.9563 2022/07/22 10:07:50 - mmengine - INFO - Epoch(train) [14][920/3757] lr: 1.0000e-02 eta: 2 days, 12:11:43 time: 0.7380 data_time: 0.0503 memory: 17350 grad_norm: 5.4218 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0402 loss: 2.0402 2022/07/22 10:08:02 - mmengine - INFO - Epoch(train) [14][940/3757] lr: 1.0000e-02 eta: 2 days, 12:11:21 time: 0.5948 data_time: 0.0287 memory: 17350 grad_norm: 5.4142 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0766 loss: 2.0766 2022/07/22 10:08:16 - mmengine - INFO - Epoch(train) [14][960/3757] lr: 1.0000e-02 eta: 2 days, 12:11:13 time: 0.7052 data_time: 0.0350 memory: 17350 grad_norm: 5.3098 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3781 loss: 2.3781 2022/07/22 10:08:29 - mmengine - INFO - Epoch(train) [14][980/3757] lr: 1.0000e-02 eta: 2 days, 12:10:58 time: 0.6533 data_time: 0.0726 memory: 17350 grad_norm: 5.2933 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0051 loss: 2.0051 2022/07/22 10:08:43 - mmengine - INFO - Epoch(train) [14][1000/3757] lr: 1.0000e-02 eta: 2 days, 12:10:49 time: 0.6988 data_time: 0.0695 memory: 17350 grad_norm: 5.2688 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9743 loss: 1.9743 2022/07/22 10:08:55 - mmengine - INFO - Epoch(train) [14][1020/3757] lr: 1.0000e-02 eta: 2 days, 12:10:31 time: 0.6280 data_time: 0.0752 memory: 17350 grad_norm: 5.3555 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8281 loss: 1.8281 2022/07/22 10:09:09 - mmengine - INFO - Epoch(train) [14][1040/3757] lr: 1.0000e-02 eta: 2 days, 12:10:22 time: 0.7015 data_time: 0.0763 memory: 17350 grad_norm: 5.3249 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0107 loss: 2.0107 2022/07/22 10:09:21 - mmengine - INFO - Epoch(train) [14][1060/3757] lr: 1.0000e-02 eta: 2 days, 12:10:00 time: 0.5976 data_time: 0.0267 memory: 17350 grad_norm: 5.4080 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0549 loss: 2.0549 2022/07/22 10:09:36 - mmengine - INFO - Epoch(train) [14][1080/3757] lr: 1.0000e-02 eta: 2 days, 12:09:53 time: 0.7136 data_time: 0.0236 memory: 17350 grad_norm: 5.4257 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1646 loss: 2.1646 2022/07/22 10:09:48 - mmengine - INFO - Epoch(train) [14][1100/3757] lr: 1.0000e-02 eta: 2 days, 12:09:34 time: 0.6186 data_time: 0.0601 memory: 17350 grad_norm: 5.3535 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0403 loss: 2.0403 2022/07/22 10:10:02 - mmengine - INFO - Epoch(train) [14][1120/3757] lr: 1.0000e-02 eta: 2 days, 12:09:26 time: 0.7042 data_time: 0.0950 memory: 17350 grad_norm: 5.3976 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4222 loss: 2.4222 2022/07/22 10:10:15 - mmengine - INFO - Epoch(train) [14][1140/3757] lr: 1.0000e-02 eta: 2 days, 12:09:09 time: 0.6366 data_time: 0.1078 memory: 17350 grad_norm: 5.4669 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0045 loss: 2.0045 2022/07/22 10:10:28 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 10:10:29 - mmengine - INFO - Epoch(train) [14][1160/3757] lr: 1.0000e-02 eta: 2 days, 12:08:59 time: 0.6915 data_time: 0.0534 memory: 17350 grad_norm: 5.3529 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8607 loss: 1.8607 2022/07/22 10:10:41 - mmengine - INFO - Epoch(train) [14][1180/3757] lr: 1.0000e-02 eta: 2 days, 12:08:40 time: 0.6222 data_time: 0.1665 memory: 17350 grad_norm: 5.2902 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0666 loss: 2.0666 2022/07/22 10:10:54 - mmengine - INFO - Epoch(train) [14][1200/3757] lr: 1.0000e-02 eta: 2 days, 12:08:24 time: 0.6457 data_time: 0.1304 memory: 17350 grad_norm: 5.4050 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0567 loss: 2.0567 2022/07/22 10:11:07 - mmengine - INFO - Epoch(train) [14][1220/3757] lr: 1.0000e-02 eta: 2 days, 12:08:08 time: 0.6402 data_time: 0.1984 memory: 17350 grad_norm: 5.3348 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2630 loss: 2.2630 2022/07/22 10:11:20 - mmengine - INFO - Epoch(train) [14][1240/3757] lr: 1.0000e-02 eta: 2 days, 12:07:55 time: 0.6665 data_time: 0.1877 memory: 17350 grad_norm: 5.3512 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8257 loss: 1.8257 2022/07/22 10:11:33 - mmengine - INFO - Epoch(train) [14][1260/3757] lr: 1.0000e-02 eta: 2 days, 12:07:38 time: 0.6377 data_time: 0.1183 memory: 17350 grad_norm: 5.4008 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2566 loss: 2.2566 2022/07/22 10:11:46 - mmengine - INFO - Epoch(train) [14][1280/3757] lr: 1.0000e-02 eta: 2 days, 12:07:26 time: 0.6747 data_time: 0.1675 memory: 17350 grad_norm: 5.2331 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7943 loss: 1.7943 2022/07/22 10:12:01 - mmengine - INFO - Epoch(train) [14][1300/3757] lr: 1.0000e-02 eta: 2 days, 12:07:18 time: 0.7081 data_time: 0.2850 memory: 17350 grad_norm: 5.3697 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9193 loss: 1.9193 2022/07/22 10:12:13 - mmengine - INFO - Epoch(train) [14][1320/3757] lr: 1.0000e-02 eta: 2 days, 12:06:59 time: 0.6212 data_time: 0.2130 memory: 17350 grad_norm: 5.4251 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1944 loss: 2.1944 2022/07/22 10:12:27 - mmengine - INFO - Epoch(train) [14][1340/3757] lr: 1.0000e-02 eta: 2 days, 12:06:52 time: 0.7124 data_time: 0.3766 memory: 17350 grad_norm: 5.5262 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1139 loss: 2.1139 2022/07/22 10:12:39 - mmengine - INFO - Epoch(train) [14][1360/3757] lr: 1.0000e-02 eta: 2 days, 12:06:30 time: 0.5914 data_time: 0.2586 memory: 17350 grad_norm: 5.5375 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1316 loss: 2.1316 2022/07/22 10:12:54 - mmengine - INFO - Epoch(train) [14][1380/3757] lr: 1.0000e-02 eta: 2 days, 12:06:26 time: 0.7385 data_time: 0.4020 memory: 17350 grad_norm: 5.1557 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9688 loss: 1.9688 2022/07/22 10:13:07 - mmengine - INFO - Epoch(train) [14][1400/3757] lr: 1.0000e-02 eta: 2 days, 12:06:09 time: 0.6364 data_time: 0.2114 memory: 17350 grad_norm: 5.4424 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1402 loss: 2.1402 2022/07/22 10:13:19 - mmengine - INFO - Epoch(train) [14][1420/3757] lr: 1.0000e-02 eta: 2 days, 12:05:50 time: 0.6208 data_time: 0.0851 memory: 17350 grad_norm: 5.4583 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2316 loss: 2.2316 2022/07/22 10:13:33 - mmengine - INFO - Epoch(train) [14][1440/3757] lr: 1.0000e-02 eta: 2 days, 12:05:44 time: 0.7219 data_time: 0.0209 memory: 17350 grad_norm: 5.3225 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1978 loss: 2.1978 2022/07/22 10:13:45 - mmengine - INFO - Epoch(train) [14][1460/3757] lr: 1.0000e-02 eta: 2 days, 12:05:22 time: 0.5969 data_time: 0.0234 memory: 17350 grad_norm: 5.5371 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9539 loss: 1.9539 2022/07/22 10:14:00 - mmengine - INFO - Epoch(train) [14][1480/3757] lr: 1.0000e-02 eta: 2 days, 12:05:14 time: 0.7103 data_time: 0.0211 memory: 17350 grad_norm: 5.6423 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2398 loss: 2.2398 2022/07/22 10:14:12 - mmengine - INFO - Epoch(train) [14][1500/3757] lr: 1.0000e-02 eta: 2 days, 12:04:54 time: 0.6135 data_time: 0.0250 memory: 17350 grad_norm: 5.3596 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0611 loss: 2.0611 2022/07/22 10:14:26 - mmengine - INFO - Epoch(train) [14][1520/3757] lr: 1.0000e-02 eta: 2 days, 12:04:48 time: 0.7206 data_time: 0.0236 memory: 17350 grad_norm: 5.2988 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3073 loss: 2.3073 2022/07/22 10:14:38 - mmengine - INFO - Epoch(train) [14][1540/3757] lr: 1.0000e-02 eta: 2 days, 12:04:27 time: 0.5988 data_time: 0.0228 memory: 17350 grad_norm: 5.2754 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8953 loss: 1.8953 2022/07/22 10:14:53 - mmengine - INFO - Epoch(train) [14][1560/3757] lr: 1.0000e-02 eta: 2 days, 12:04:22 time: 0.7349 data_time: 0.0217 memory: 17350 grad_norm: 5.4676 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2503 loss: 2.2503 2022/07/22 10:15:05 - mmengine - INFO - Epoch(train) [14][1580/3757] lr: 1.0000e-02 eta: 2 days, 12:03:58 time: 0.5820 data_time: 0.0278 memory: 17350 grad_norm: 5.3233 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9347 loss: 1.9347 2022/07/22 10:15:19 - mmengine - INFO - Epoch(train) [14][1600/3757] lr: 1.0000e-02 eta: 2 days, 12:03:50 time: 0.7010 data_time: 0.0209 memory: 17350 grad_norm: 5.4679 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9222 loss: 1.9222 2022/07/22 10:15:32 - mmengine - INFO - Epoch(train) [14][1620/3757] lr: 1.0000e-02 eta: 2 days, 12:03:36 time: 0.6582 data_time: 0.0238 memory: 17350 grad_norm: 5.5302 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1851 loss: 2.1851 2022/07/22 10:15:46 - mmengine - INFO - Epoch(train) [14][1640/3757] lr: 1.0000e-02 eta: 2 days, 12:03:29 time: 0.7156 data_time: 0.0266 memory: 17350 grad_norm: 5.2220 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0824 loss: 2.0824 2022/07/22 10:15:58 - mmengine - INFO - Epoch(train) [14][1660/3757] lr: 1.0000e-02 eta: 2 days, 12:03:09 time: 0.6170 data_time: 0.0242 memory: 17350 grad_norm: 5.3924 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2188 loss: 2.2188 2022/07/22 10:16:12 - mmengine - INFO - Epoch(train) [14][1680/3757] lr: 1.0000e-02 eta: 2 days, 12:02:59 time: 0.6873 data_time: 0.0471 memory: 17350 grad_norm: 5.5009 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1265 loss: 2.1265 2022/07/22 10:16:26 - mmengine - INFO - Epoch(train) [14][1700/3757] lr: 1.0000e-02 eta: 2 days, 12:02:47 time: 0.6781 data_time: 0.0311 memory: 17350 grad_norm: 5.4030 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1847 loss: 2.1847 2022/07/22 10:16:39 - mmengine - INFO - Epoch(train) [14][1720/3757] lr: 1.0000e-02 eta: 2 days, 12:02:35 time: 0.6684 data_time: 0.0231 memory: 17350 grad_norm: 5.4575 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0970 loss: 2.0970 2022/07/22 10:16:51 - mmengine - INFO - Epoch(train) [14][1740/3757] lr: 1.0000e-02 eta: 2 days, 12:02:13 time: 0.5968 data_time: 0.0226 memory: 17350 grad_norm: 5.3446 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9549 loss: 1.9549 2022/07/22 10:17:05 - mmengine - INFO - Epoch(train) [14][1760/3757] lr: 1.0000e-02 eta: 2 days, 12:02:06 time: 0.7154 data_time: 0.0234 memory: 17350 grad_norm: 5.6080 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0771 loss: 2.0771 2022/07/22 10:17:18 - mmengine - INFO - Epoch(train) [14][1780/3757] lr: 1.0000e-02 eta: 2 days, 12:01:51 time: 0.6515 data_time: 0.0223 memory: 17350 grad_norm: 5.2966 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1799 loss: 2.1799 2022/07/22 10:17:32 - mmengine - INFO - Epoch(train) [14][1800/3757] lr: 1.0000e-02 eta: 2 days, 12:01:36 time: 0.6560 data_time: 0.0215 memory: 17350 grad_norm: 5.4704 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0971 loss: 2.0971 2022/07/22 10:17:45 - mmengine - INFO - Epoch(train) [14][1820/3757] lr: 1.0000e-02 eta: 2 days, 12:01:23 time: 0.6633 data_time: 0.0230 memory: 17350 grad_norm: 5.4207 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9411 loss: 1.9411 2022/07/22 10:17:59 - mmengine - INFO - Epoch(train) [14][1840/3757] lr: 1.0000e-02 eta: 2 days, 12:01:17 time: 0.7235 data_time: 0.0217 memory: 17350 grad_norm: 5.3618 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.1485 loss: 2.1485 2022/07/22 10:18:11 - mmengine - INFO - Epoch(train) [14][1860/3757] lr: 1.0000e-02 eta: 2 days, 12:00:54 time: 0.5848 data_time: 0.0238 memory: 17350 grad_norm: 5.3664 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8953 loss: 1.8953 2022/07/22 10:18:25 - mmengine - INFO - Epoch(train) [14][1880/3757] lr: 1.0000e-02 eta: 2 days, 12:00:48 time: 0.7230 data_time: 0.0213 memory: 17350 grad_norm: 5.4168 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9674 loss: 1.9674 2022/07/22 10:18:37 - mmengine - INFO - Epoch(train) [14][1900/3757] lr: 1.0000e-02 eta: 2 days, 12:00:24 time: 0.5874 data_time: 0.0220 memory: 17350 grad_norm: 5.2508 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1860 loss: 2.1860 2022/07/22 10:18:51 - mmengine - INFO - Epoch(train) [14][1920/3757] lr: 1.0000e-02 eta: 2 days, 12:00:18 time: 0.7150 data_time: 0.0262 memory: 17350 grad_norm: 5.4631 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9407 loss: 1.9407 2022/07/22 10:19:05 - mmengine - INFO - Epoch(train) [14][1940/3757] lr: 1.0000e-02 eta: 2 days, 12:00:06 time: 0.6785 data_time: 0.0224 memory: 17350 grad_norm: 5.4277 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3113 loss: 2.3113 2022/07/22 10:19:18 - mmengine - INFO - Epoch(train) [14][1960/3757] lr: 1.0000e-02 eta: 2 days, 11:59:52 time: 0.6601 data_time: 0.0225 memory: 17350 grad_norm: 5.4937 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1591 loss: 2.1591 2022/07/22 10:19:30 - mmengine - INFO - Epoch(train) [14][1980/3757] lr: 1.0000e-02 eta: 2 days, 11:59:32 time: 0.6095 data_time: 0.0226 memory: 17350 grad_norm: 5.2674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4361 loss: 2.4361 2022/07/22 10:19:45 - mmengine - INFO - Epoch(train) [14][2000/3757] lr: 1.0000e-02 eta: 2 days, 11:59:29 time: 0.7452 data_time: 0.0208 memory: 17350 grad_norm: 5.3721 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4878 loss: 2.4878 2022/07/22 10:19:59 - mmengine - INFO - Epoch(train) [14][2020/3757] lr: 1.0000e-02 eta: 2 days, 11:59:16 time: 0.6688 data_time: 0.0222 memory: 17350 grad_norm: 5.3078 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8273 loss: 1.8273 2022/07/22 10:20:15 - mmengine - INFO - Epoch(train) [14][2040/3757] lr: 1.0000e-02 eta: 2 days, 11:59:18 time: 0.7879 data_time: 0.0239 memory: 17350 grad_norm: 5.2755 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1982 loss: 2.1982 2022/07/22 10:20:26 - mmengine - INFO - Epoch(train) [14][2060/3757] lr: 1.0000e-02 eta: 2 days, 11:58:52 time: 0.5645 data_time: 0.0232 memory: 17350 grad_norm: 5.4064 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1459 loss: 2.1459 2022/07/22 10:20:38 - mmengine - INFO - Epoch(train) [14][2080/3757] lr: 1.0000e-02 eta: 2 days, 11:58:30 time: 0.5901 data_time: 0.0212 memory: 17350 grad_norm: 5.4200 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0624 loss: 2.0624 2022/07/22 10:20:53 - mmengine - INFO - Epoch(train) [14][2100/3757] lr: 1.0000e-02 eta: 2 days, 11:58:28 time: 0.7577 data_time: 0.0244 memory: 17350 grad_norm: 5.1902 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1343 loss: 2.1343 2022/07/22 10:21:05 - mmengine - INFO - Epoch(train) [14][2120/3757] lr: 1.0000e-02 eta: 2 days, 11:58:09 time: 0.6188 data_time: 0.0229 memory: 17350 grad_norm: 5.2657 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3423 loss: 2.3423 2022/07/22 10:21:20 - mmengine - INFO - Epoch(train) [14][2140/3757] lr: 1.0000e-02 eta: 2 days, 11:58:06 time: 0.7483 data_time: 0.0224 memory: 17350 grad_norm: 5.3987 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4242 loss: 2.4242 2022/07/22 10:21:31 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 10:21:31 - mmengine - INFO - Epoch(train) [14][2160/3757] lr: 1.0000e-02 eta: 2 days, 11:57:38 time: 0.5509 data_time: 0.0226 memory: 17350 grad_norm: 5.2938 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8349 loss: 1.8349 2022/07/22 10:21:45 - mmengine - INFO - Epoch(train) [14][2180/3757] lr: 1.0000e-02 eta: 2 days, 11:57:29 time: 0.6959 data_time: 0.0234 memory: 17350 grad_norm: 5.3433 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0709 loss: 2.0709 2022/07/22 10:21:58 - mmengine - INFO - Epoch(train) [14][2200/3757] lr: 1.0000e-02 eta: 2 days, 11:57:14 time: 0.6490 data_time: 0.0649 memory: 17350 grad_norm: 5.2165 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1195 loss: 2.1195 2022/07/22 10:22:12 - mmengine - INFO - Epoch(train) [14][2220/3757] lr: 1.0000e-02 eta: 2 days, 11:57:02 time: 0.6756 data_time: 0.0330 memory: 17350 grad_norm: 5.4396 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1486 loss: 2.1486 2022/07/22 10:22:25 - mmengine - INFO - Epoch(train) [14][2240/3757] lr: 1.0000e-02 eta: 2 days, 11:56:52 time: 0.6885 data_time: 0.0318 memory: 17350 grad_norm: 5.2061 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0544 loss: 2.0544 2022/07/22 10:22:38 - mmengine - INFO - Epoch(train) [14][2260/3757] lr: 1.0000e-02 eta: 2 days, 11:56:34 time: 0.6315 data_time: 0.0428 memory: 17350 grad_norm: 5.6004 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4276 loss: 2.4276 2022/07/22 10:22:51 - mmengine - INFO - Epoch(train) [14][2280/3757] lr: 1.0000e-02 eta: 2 days, 11:56:20 time: 0.6610 data_time: 0.0666 memory: 17350 grad_norm: 5.3627 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.2492 loss: 2.2492 2022/07/22 10:23:05 - mmengine - INFO - Epoch(train) [14][2300/3757] lr: 1.0000e-02 eta: 2 days, 11:56:07 time: 0.6687 data_time: 0.0514 memory: 17350 grad_norm: 5.5158 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0645 loss: 2.0645 2022/07/22 10:23:18 - mmengine - INFO - Epoch(train) [14][2320/3757] lr: 1.0000e-02 eta: 2 days, 11:55:53 time: 0.6588 data_time: 0.1217 memory: 17350 grad_norm: 5.6303 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1907 loss: 2.1907 2022/07/22 10:23:32 - mmengine - INFO - Epoch(train) [14][2340/3757] lr: 1.0000e-02 eta: 2 days, 11:55:47 time: 0.7206 data_time: 0.0345 memory: 17350 grad_norm: 5.5210 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2419 loss: 2.2419 2022/07/22 10:23:45 - mmengine - INFO - Epoch(train) [14][2360/3757] lr: 1.0000e-02 eta: 2 days, 11:55:29 time: 0.6273 data_time: 0.0380 memory: 17350 grad_norm: 5.4460 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1665 loss: 2.1665 2022/07/22 10:23:58 - mmengine - INFO - Epoch(train) [14][2380/3757] lr: 1.0000e-02 eta: 2 days, 11:55:18 time: 0.6843 data_time: 0.0260 memory: 17350 grad_norm: 5.3421 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2050 loss: 2.2050 2022/07/22 10:24:12 - mmengine - INFO - Epoch(train) [14][2400/3757] lr: 1.0000e-02 eta: 2 days, 11:55:05 time: 0.6668 data_time: 0.0224 memory: 17350 grad_norm: 5.5695 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2119 loss: 2.2119 2022/07/22 10:24:25 - mmengine - INFO - Epoch(train) [14][2420/3757] lr: 1.0000e-02 eta: 2 days, 11:54:49 time: 0.6401 data_time: 0.0360 memory: 17350 grad_norm: 5.2888 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7347 loss: 1.7347 2022/07/22 10:24:38 - mmengine - INFO - Epoch(train) [14][2440/3757] lr: 1.0000e-02 eta: 2 days, 11:54:37 time: 0.6799 data_time: 0.0946 memory: 17350 grad_norm: 5.5555 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2210 loss: 2.2210 2022/07/22 10:24:50 - mmengine - INFO - Epoch(train) [14][2460/3757] lr: 1.0000e-02 eta: 2 days, 11:54:17 time: 0.6074 data_time: 0.0486 memory: 17350 grad_norm: 5.5249 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2118 loss: 2.2118 2022/07/22 10:25:05 - mmengine - INFO - Epoch(train) [14][2480/3757] lr: 1.0000e-02 eta: 2 days, 11:54:14 time: 0.7456 data_time: 0.0238 memory: 17350 grad_norm: 5.3459 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0115 loss: 2.0115 2022/07/22 10:25:19 - mmengine - INFO - Epoch(train) [14][2500/3757] lr: 1.0000e-02 eta: 2 days, 11:54:01 time: 0.6681 data_time: 0.0999 memory: 17350 grad_norm: 5.3910 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3579 loss: 2.3579 2022/07/22 10:25:32 - mmengine - INFO - Epoch(train) [14][2520/3757] lr: 1.0000e-02 eta: 2 days, 11:53:49 time: 0.6775 data_time: 0.0213 memory: 17350 grad_norm: 5.4905 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2666 loss: 2.2666 2022/07/22 10:25:45 - mmengine - INFO - Epoch(train) [14][2540/3757] lr: 1.0000e-02 eta: 2 days, 11:53:33 time: 0.6406 data_time: 0.0616 memory: 17350 grad_norm: 5.3499 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2435 loss: 2.2435 2022/07/22 10:25:59 - mmengine - INFO - Epoch(train) [14][2560/3757] lr: 1.0000e-02 eta: 2 days, 11:53:25 time: 0.7100 data_time: 0.0456 memory: 17350 grad_norm: 5.3752 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8727 loss: 1.8727 2022/07/22 10:26:11 - mmengine - INFO - Epoch(train) [14][2580/3757] lr: 1.0000e-02 eta: 2 days, 11:53:05 time: 0.6090 data_time: 0.0211 memory: 17350 grad_norm: 5.4830 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1588 loss: 2.1588 2022/07/22 10:26:26 - mmengine - INFO - Epoch(train) [14][2600/3757] lr: 1.0000e-02 eta: 2 days, 11:53:00 time: 0.7347 data_time: 0.0292 memory: 17350 grad_norm: 5.1925 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9784 loss: 1.9784 2022/07/22 10:26:38 - mmengine - INFO - Epoch(train) [14][2620/3757] lr: 1.0000e-02 eta: 2 days, 11:52:38 time: 0.5924 data_time: 0.0321 memory: 17350 grad_norm: 5.3292 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2210 loss: 2.2210 2022/07/22 10:26:52 - mmengine - INFO - Epoch(train) [14][2640/3757] lr: 1.0000e-02 eta: 2 days, 11:52:30 time: 0.7045 data_time: 0.0255 memory: 17350 grad_norm: 5.5470 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2700 loss: 2.2700 2022/07/22 10:27:05 - mmengine - INFO - Epoch(train) [14][2660/3757] lr: 1.0000e-02 eta: 2 days, 11:52:12 time: 0.6263 data_time: 0.0288 memory: 17350 grad_norm: 5.2745 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3408 loss: 2.3408 2022/07/22 10:27:19 - mmengine - INFO - Epoch(train) [14][2680/3757] lr: 1.0000e-02 eta: 2 days, 11:52:06 time: 0.7286 data_time: 0.0230 memory: 17350 grad_norm: 5.1629 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2920 loss: 2.2920 2022/07/22 10:27:32 - mmengine - INFO - Epoch(train) [14][2700/3757] lr: 1.0000e-02 eta: 2 days, 11:51:49 time: 0.6305 data_time: 0.0235 memory: 17350 grad_norm: 5.4280 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0451 loss: 2.0451 2022/07/22 10:27:46 - mmengine - INFO - Epoch(train) [14][2720/3757] lr: 1.0000e-02 eta: 2 days, 11:51:40 time: 0.7052 data_time: 0.0224 memory: 17350 grad_norm: 5.4507 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1461 loss: 2.1461 2022/07/22 10:27:58 - mmengine - INFO - Epoch(train) [14][2740/3757] lr: 1.0000e-02 eta: 2 days, 11:51:22 time: 0.6208 data_time: 0.0233 memory: 17350 grad_norm: 5.3231 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3476 loss: 2.3476 2022/07/22 10:28:12 - mmengine - INFO - Epoch(train) [14][2760/3757] lr: 1.0000e-02 eta: 2 days, 11:51:13 time: 0.6998 data_time: 0.0248 memory: 17350 grad_norm: 5.3427 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4664 loss: 2.4664 2022/07/22 10:28:24 - mmengine - INFO - Epoch(train) [14][2780/3757] lr: 1.0000e-02 eta: 2 days, 11:50:51 time: 0.6002 data_time: 0.0251 memory: 17350 grad_norm: 5.2859 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3782 loss: 2.3782 2022/07/22 10:28:39 - mmengine - INFO - Epoch(train) [14][2800/3757] lr: 1.0000e-02 eta: 2 days, 11:50:45 time: 0.7216 data_time: 0.0230 memory: 17350 grad_norm: 5.2674 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0852 loss: 2.0852 2022/07/22 10:28:50 - mmengine - INFO - Epoch(train) [14][2820/3757] lr: 1.0000e-02 eta: 2 days, 11:50:20 time: 0.5672 data_time: 0.0227 memory: 17350 grad_norm: 5.1634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1618 loss: 2.1618 2022/07/22 10:29:05 - mmengine - INFO - Epoch(train) [14][2840/3757] lr: 1.0000e-02 eta: 2 days, 11:50:20 time: 0.7728 data_time: 0.0215 memory: 17350 grad_norm: 5.4285 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3202 loss: 2.3202 2022/07/22 10:29:17 - mmengine - INFO - Epoch(train) [14][2860/3757] lr: 1.0000e-02 eta: 2 days, 11:49:57 time: 0.5873 data_time: 0.0240 memory: 17350 grad_norm: 5.3666 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2093 loss: 2.2093 2022/07/22 10:29:32 - mmengine - INFO - Epoch(train) [14][2880/3757] lr: 1.0000e-02 eta: 2 days, 11:49:51 time: 0.7244 data_time: 0.0222 memory: 17350 grad_norm: 5.4469 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8991 loss: 1.8991 2022/07/22 10:29:43 - mmengine - INFO - Epoch(train) [14][2900/3757] lr: 1.0000e-02 eta: 2 days, 11:49:25 time: 0.5653 data_time: 0.0220 memory: 17350 grad_norm: 5.1894 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0934 loss: 2.0934 2022/07/22 10:29:58 - mmengine - INFO - Epoch(train) [14][2920/3757] lr: 1.0000e-02 eta: 2 days, 11:49:20 time: 0.7316 data_time: 0.0309 memory: 17350 grad_norm: 5.4203 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0458 loss: 2.0458 2022/07/22 10:30:10 - mmengine - INFO - Epoch(train) [14][2940/3757] lr: 1.0000e-02 eta: 2 days, 11:49:01 time: 0.6196 data_time: 0.0225 memory: 17350 grad_norm: 5.2852 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1207 loss: 2.1207 2022/07/22 10:30:25 - mmengine - INFO - Epoch(train) [14][2960/3757] lr: 1.0000e-02 eta: 2 days, 11:48:58 time: 0.7446 data_time: 0.0231 memory: 17350 grad_norm: 5.4666 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1132 loss: 2.1132 2022/07/22 10:30:37 - mmengine - INFO - Epoch(train) [14][2980/3757] lr: 1.0000e-02 eta: 2 days, 11:48:34 time: 0.5823 data_time: 0.0216 memory: 17350 grad_norm: 5.2490 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1570 loss: 2.1570 2022/07/22 10:30:51 - mmengine - INFO - Epoch(train) [14][3000/3757] lr: 1.0000e-02 eta: 2 days, 11:48:30 time: 0.7347 data_time: 0.0228 memory: 17350 grad_norm: 5.2451 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0088 loss: 2.0088 2022/07/22 10:31:03 - mmengine - INFO - Epoch(train) [14][3020/3757] lr: 1.0000e-02 eta: 2 days, 11:48:06 time: 0.5782 data_time: 0.0262 memory: 17350 grad_norm: 5.3670 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2091 loss: 2.2091 2022/07/22 10:31:17 - mmengine - INFO - Epoch(train) [14][3040/3757] lr: 1.0000e-02 eta: 2 days, 11:47:55 time: 0.6871 data_time: 0.0246 memory: 17350 grad_norm: 5.3598 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3035 loss: 2.3035 2022/07/22 10:31:30 - mmengine - INFO - Epoch(train) [14][3060/3757] lr: 1.0000e-02 eta: 2 days, 11:47:40 time: 0.6468 data_time: 0.0232 memory: 17350 grad_norm: 5.4488 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2576 loss: 2.2576 2022/07/22 10:31:43 - mmengine - INFO - Epoch(train) [14][3080/3757] lr: 1.0000e-02 eta: 2 days, 11:47:29 time: 0.6877 data_time: 0.0237 memory: 17350 grad_norm: 5.3259 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0948 loss: 2.0948 2022/07/22 10:31:56 - mmengine - INFO - Epoch(train) [14][3100/3757] lr: 1.0000e-02 eta: 2 days, 11:47:14 time: 0.6461 data_time: 0.0212 memory: 17350 grad_norm: 5.4748 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2042 loss: 2.2042 2022/07/22 10:32:10 - mmengine - INFO - Epoch(train) [14][3120/3757] lr: 1.0000e-02 eta: 2 days, 11:47:04 time: 0.6973 data_time: 0.0229 memory: 17350 grad_norm: 5.3257 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0488 loss: 2.0488 2022/07/22 10:32:22 - mmengine - INFO - Epoch(train) [14][3140/3757] lr: 1.0000e-02 eta: 2 days, 11:46:44 time: 0.6073 data_time: 0.0224 memory: 17350 grad_norm: 5.2833 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9681 loss: 1.9681 2022/07/22 10:32:37 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 10:32:37 - mmengine - INFO - Epoch(train) [14][3160/3757] lr: 1.0000e-02 eta: 2 days, 11:46:39 time: 0.7361 data_time: 0.0241 memory: 17350 grad_norm: 5.2649 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1899 loss: 2.1899 2022/07/22 10:32:50 - mmengine - INFO - Epoch(train) [14][3180/3757] lr: 1.0000e-02 eta: 2 days, 11:46:26 time: 0.6633 data_time: 0.0214 memory: 17350 grad_norm: 5.4178 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2477 loss: 2.2477 2022/07/22 10:33:03 - mmengine - INFO - Epoch(train) [14][3200/3757] lr: 1.0000e-02 eta: 2 days, 11:46:10 time: 0.6429 data_time: 0.0227 memory: 17350 grad_norm: 5.4416 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2197 loss: 2.2197 2022/07/22 10:33:17 - mmengine - INFO - Epoch(train) [14][3220/3757] lr: 1.0000e-02 eta: 2 days, 11:46:00 time: 0.6940 data_time: 0.0211 memory: 17350 grad_norm: 5.3214 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2953 loss: 2.2953 2022/07/22 10:33:30 - mmengine - INFO - Epoch(train) [14][3240/3757] lr: 1.0000e-02 eta: 2 days, 11:45:43 time: 0.6355 data_time: 0.0230 memory: 17350 grad_norm: 5.4761 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0547 loss: 2.0547 2022/07/22 10:33:43 - mmengine - INFO - Epoch(train) [14][3260/3757] lr: 1.0000e-02 eta: 2 days, 11:45:28 time: 0.6462 data_time: 0.0230 memory: 17350 grad_norm: 5.2667 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7600 loss: 2.7600 2022/07/22 10:33:56 - mmengine - INFO - Epoch(train) [14][3280/3757] lr: 1.0000e-02 eta: 2 days, 11:45:13 time: 0.6542 data_time: 0.0767 memory: 17350 grad_norm: 5.4423 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9247 loss: 1.9247 2022/07/22 10:34:10 - mmengine - INFO - Epoch(train) [14][3300/3757] lr: 1.0000e-02 eta: 2 days, 11:45:06 time: 0.7109 data_time: 0.0751 memory: 17350 grad_norm: 5.3878 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1364 loss: 2.1364 2022/07/22 10:34:22 - mmengine - INFO - Epoch(train) [14][3320/3757] lr: 1.0000e-02 eta: 2 days, 11:44:44 time: 0.5981 data_time: 0.0688 memory: 17350 grad_norm: 5.2131 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9346 loss: 1.9346 2022/07/22 10:34:37 - mmengine - INFO - Epoch(train) [14][3340/3757] lr: 1.0000e-02 eta: 2 days, 11:44:40 time: 0.7415 data_time: 0.1781 memory: 17350 grad_norm: 5.4061 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0406 loss: 2.0406 2022/07/22 10:34:49 - mmengine - INFO - Epoch(train) [14][3360/3757] lr: 1.0000e-02 eta: 2 days, 11:44:20 time: 0.6089 data_time: 0.0582 memory: 17350 grad_norm: 5.4619 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2959 loss: 2.2959 2022/07/22 10:35:04 - mmengine - INFO - Epoch(train) [14][3380/3757] lr: 1.0000e-02 eta: 2 days, 11:44:14 time: 0.7275 data_time: 0.1014 memory: 17350 grad_norm: 5.4433 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1150 loss: 2.1150 2022/07/22 10:35:16 - mmengine - INFO - Epoch(train) [14][3400/3757] lr: 1.0000e-02 eta: 2 days, 11:43:53 time: 0.6018 data_time: 0.0714 memory: 17350 grad_norm: 5.3551 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0523 loss: 2.0523 2022/07/22 10:35:31 - mmengine - INFO - Epoch(train) [14][3420/3757] lr: 1.0000e-02 eta: 2 days, 11:43:52 time: 0.7601 data_time: 0.1312 memory: 17350 grad_norm: 5.2318 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7241 loss: 1.7241 2022/07/22 10:35:43 - mmengine - INFO - Epoch(train) [14][3440/3757] lr: 1.0000e-02 eta: 2 days, 11:43:32 time: 0.6134 data_time: 0.0351 memory: 17350 grad_norm: 5.5275 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1591 loss: 2.1591 2022/07/22 10:35:58 - mmengine - INFO - Epoch(train) [14][3460/3757] lr: 1.0000e-02 eta: 2 days, 11:43:27 time: 0.7262 data_time: 0.0267 memory: 17350 grad_norm: 5.3352 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1912 loss: 2.1912 2022/07/22 10:36:10 - mmengine - INFO - Epoch(train) [14][3480/3757] lr: 1.0000e-02 eta: 2 days, 11:43:07 time: 0.6148 data_time: 0.0291 memory: 17350 grad_norm: 5.3676 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1436 loss: 2.1436 2022/07/22 10:36:23 - mmengine - INFO - Epoch(train) [14][3500/3757] lr: 1.0000e-02 eta: 2 days, 11:42:54 time: 0.6668 data_time: 0.0335 memory: 17350 grad_norm: 5.5914 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2526 loss: 2.2526 2022/07/22 10:36:37 - mmengine - INFO - Epoch(train) [14][3520/3757] lr: 1.0000e-02 eta: 2 days, 11:42:45 time: 0.7002 data_time: 0.0396 memory: 17350 grad_norm: 5.3717 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9683 loss: 1.9683 2022/07/22 10:36:50 - mmengine - INFO - Epoch(train) [14][3540/3757] lr: 1.0000e-02 eta: 2 days, 11:42:30 time: 0.6475 data_time: 0.0227 memory: 17350 grad_norm: 5.2580 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0680 loss: 2.0680 2022/07/22 10:37:05 - mmengine - INFO - Epoch(train) [14][3560/3757] lr: 1.0000e-02 eta: 2 days, 11:42:24 time: 0.7232 data_time: 0.0564 memory: 17350 grad_norm: 5.3961 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2819 loss: 2.2819 2022/07/22 10:37:17 - mmengine - INFO - Epoch(train) [14][3580/3757] lr: 1.0000e-02 eta: 2 days, 11:42:04 time: 0.6167 data_time: 0.1401 memory: 17350 grad_norm: 5.2633 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0289 loss: 2.0289 2022/07/22 10:37:30 - mmengine - INFO - Epoch(train) [14][3600/3757] lr: 1.0000e-02 eta: 2 days, 11:41:51 time: 0.6662 data_time: 0.1084 memory: 17350 grad_norm: 5.2668 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1851 loss: 2.1851 2022/07/22 10:37:44 - mmengine - INFO - Epoch(train) [14][3620/3757] lr: 1.0000e-02 eta: 2 days, 11:41:38 time: 0.6656 data_time: 0.2869 memory: 17350 grad_norm: 5.2719 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0142 loss: 2.0142 2022/07/22 10:37:56 - mmengine - INFO - Epoch(train) [14][3640/3757] lr: 1.0000e-02 eta: 2 days, 11:41:21 time: 0.6323 data_time: 0.1680 memory: 17350 grad_norm: 5.4883 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9759 loss: 1.9759 2022/07/22 10:38:10 - mmengine - INFO - Epoch(train) [14][3660/3757] lr: 1.0000e-02 eta: 2 days, 11:41:12 time: 0.6992 data_time: 0.3576 memory: 17350 grad_norm: 5.5739 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3405 loss: 2.3405 2022/07/22 10:38:23 - mmengine - INFO - Epoch(train) [14][3680/3757] lr: 1.0000e-02 eta: 2 days, 11:40:52 time: 0.6122 data_time: 0.2776 memory: 17350 grad_norm: 5.5305 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8471 loss: 1.8471 2022/07/22 10:38:37 - mmengine - INFO - Epoch(train) [14][3700/3757] lr: 1.0000e-02 eta: 2 days, 11:40:44 time: 0.7099 data_time: 0.3735 memory: 17350 grad_norm: 5.2964 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2749 loss: 2.2749 2022/07/22 10:38:49 - mmengine - INFO - Epoch(train) [14][3720/3757] lr: 1.0000e-02 eta: 2 days, 11:40:26 time: 0.6250 data_time: 0.2801 memory: 17350 grad_norm: 5.2497 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2811 loss: 2.2811 2022/07/22 10:39:03 - mmengine - INFO - Epoch(train) [14][3740/3757] lr: 1.0000e-02 eta: 2 days, 11:40:17 time: 0.7015 data_time: 0.3663 memory: 17350 grad_norm: 5.2419 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2126 loss: 2.2126 2022/07/22 10:39:10 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 10:39:10 - mmengine - INFO - Epoch(train) [14][3757/3757] lr: 1.0000e-02 eta: 2 days, 11:40:17 time: 0.5163 data_time: 0.1928 memory: 17350 grad_norm: 5.3619 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 2.1475 loss: 2.1475 2022/07/22 10:39:27 - mmengine - INFO - Epoch(val) [14][20/310] eta: 0:04:06 time: 0.8492 data_time: 0.7331 memory: 3406 2022/07/22 10:39:38 - mmengine - INFO - Epoch(val) [14][40/310] eta: 0:02:24 time: 0.5343 data_time: 0.4230 memory: 3406 2022/07/22 10:39:54 - mmengine - INFO - Epoch(val) [14][60/310] eta: 0:03:14 time: 0.7798 data_time: 0.6638 memory: 3406 2022/07/22 10:40:06 - mmengine - INFO - Epoch(val) [14][80/310] eta: 0:02:18 time: 0.6037 data_time: 0.4867 memory: 3406 2022/07/22 10:40:21 - mmengine - INFO - Epoch(val) [14][100/310] eta: 0:02:35 time: 0.7391 data_time: 0.6195 memory: 3406 2022/07/22 10:40:31 - mmengine - INFO - Epoch(val) [14][120/310] eta: 0:01:41 time: 0.5341 data_time: 0.4212 memory: 3406 2022/07/22 10:40:46 - mmengine - INFO - Epoch(val) [14][140/310] eta: 0:02:06 time: 0.7447 data_time: 0.6310 memory: 3406 2022/07/22 10:40:58 - mmengine - INFO - Epoch(val) [14][160/310] eta: 0:01:26 time: 0.5772 data_time: 0.4657 memory: 3406 2022/07/22 10:41:12 - mmengine - INFO - Epoch(val) [14][180/310] eta: 0:01:34 time: 0.7295 data_time: 0.6170 memory: 3406 2022/07/22 10:41:24 - mmengine - INFO - Epoch(val) [14][200/310] eta: 0:01:06 time: 0.6051 data_time: 0.4932 memory: 3406 2022/07/22 10:41:39 - mmengine - INFO - Epoch(val) [14][220/310] eta: 0:01:04 time: 0.7114 data_time: 0.5991 memory: 3406 2022/07/22 10:41:50 - mmengine - INFO - Epoch(val) [14][240/310] eta: 0:00:40 time: 0.5824 data_time: 0.4711 memory: 3406 2022/07/22 10:42:05 - mmengine - INFO - Epoch(val) [14][260/310] eta: 0:00:35 time: 0.7144 data_time: 0.5976 memory: 3406 2022/07/22 10:42:16 - mmengine - INFO - Epoch(val) [14][280/310] eta: 0:00:17 time: 0.5867 data_time: 0.4719 memory: 3406 2022/07/22 10:42:30 - mmengine - INFO - Epoch(val) [14][300/310] eta: 0:00:07 time: 0.7045 data_time: 0.5920 memory: 3406 2022/07/22 10:42:37 - mmengine - INFO - Epoch(val) [14][310/310] acc/top1: 0.5331 acc/top5: 0.7895 acc/mean1: 0.5331 2022/07/22 10:42:56 - mmengine - INFO - Epoch(train) [15][20/3757] lr: 1.0000e-02 eta: 2 days, 11:39:16 time: 0.9288 data_time: 0.5880 memory: 17350 grad_norm: 5.2486 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6894 loss: 1.6894 2022/07/22 10:43:07 - mmengine - INFO - Epoch(train) [15][40/3757] lr: 1.0000e-02 eta: 2 days, 11:38:54 time: 0.5945 data_time: 0.2648 memory: 17350 grad_norm: 5.3546 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1825 loss: 2.1825 2022/07/22 10:43:21 - mmengine - INFO - Epoch(train) [15][60/3757] lr: 1.0000e-02 eta: 2 days, 11:38:44 time: 0.6922 data_time: 0.3322 memory: 17350 grad_norm: 5.6338 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8256 loss: 1.8256 2022/07/22 10:43:33 - mmengine - INFO - Epoch(train) [15][80/3757] lr: 1.0000e-02 eta: 2 days, 11:38:23 time: 0.6079 data_time: 0.2679 memory: 17350 grad_norm: 5.3768 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1368 loss: 2.1368 2022/07/22 10:43:48 - mmengine - INFO - Epoch(train) [15][100/3757] lr: 1.0000e-02 eta: 2 days, 11:38:21 time: 0.7514 data_time: 0.3133 memory: 17350 grad_norm: 5.2186 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0169 loss: 2.0169 2022/07/22 10:44:01 - mmengine - INFO - Epoch(train) [15][120/3757] lr: 1.0000e-02 eta: 2 days, 11:38:00 time: 0.6020 data_time: 0.1165 memory: 17350 grad_norm: 5.4057 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1605 loss: 2.1605 2022/07/22 10:44:15 - mmengine - INFO - Epoch(train) [15][140/3757] lr: 1.0000e-02 eta: 2 days, 11:37:56 time: 0.7408 data_time: 0.2148 memory: 17350 grad_norm: 5.3507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1172 loss: 2.1172 2022/07/22 10:44:28 - mmengine - INFO - Epoch(train) [15][160/3757] lr: 1.0000e-02 eta: 2 days, 11:37:36 time: 0.6094 data_time: 0.1676 memory: 17350 grad_norm: 5.3947 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9417 loss: 1.9417 2022/07/22 10:44:42 - mmengine - INFO - Epoch(train) [15][180/3757] lr: 1.0000e-02 eta: 2 days, 11:37:28 time: 0.7070 data_time: 0.2476 memory: 17350 grad_norm: 5.3675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0356 loss: 2.0356 2022/07/22 10:44:54 - mmengine - INFO - Epoch(train) [15][200/3757] lr: 1.0000e-02 eta: 2 days, 11:37:08 time: 0.6165 data_time: 0.1444 memory: 17350 grad_norm: 5.3662 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8819 loss: 1.8819 2022/07/22 10:45:09 - mmengine - INFO - Epoch(train) [15][220/3757] lr: 1.0000e-02 eta: 2 days, 11:37:08 time: 0.7723 data_time: 0.1354 memory: 17350 grad_norm: 5.4893 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9829 loss: 1.9829 2022/07/22 10:45:22 - mmengine - INFO - Epoch(train) [15][240/3757] lr: 1.0000e-02 eta: 2 days, 11:36:48 time: 0.6104 data_time: 0.0372 memory: 17350 grad_norm: 5.3778 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3933 loss: 2.3933 2022/07/22 10:45:37 - mmengine - INFO - Epoch(train) [15][260/3757] lr: 1.0000e-02 eta: 2 days, 11:36:46 time: 0.7561 data_time: 0.0633 memory: 17350 grad_norm: 5.2639 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1837 loss: 2.1837 2022/07/22 10:45:49 - mmengine - INFO - Epoch(train) [15][280/3757] lr: 1.0000e-02 eta: 2 days, 11:36:28 time: 0.6257 data_time: 0.0241 memory: 17350 grad_norm: 5.2652 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1281 loss: 2.1281 2022/07/22 10:46:03 - mmengine - INFO - Epoch(train) [15][300/3757] lr: 1.0000e-02 eta: 2 days, 11:36:16 time: 0.6725 data_time: 0.0878 memory: 17350 grad_norm: 5.1836 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9996 loss: 1.9996 2022/07/22 10:46:15 - mmengine - INFO - Epoch(train) [15][320/3757] lr: 1.0000e-02 eta: 2 days, 11:35:57 time: 0.6220 data_time: 0.1075 memory: 17350 grad_norm: 5.6324 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4875 loss: 2.4875 2022/07/22 10:46:29 - mmengine - INFO - Epoch(train) [15][340/3757] lr: 1.0000e-02 eta: 2 days, 11:35:50 time: 0.7102 data_time: 0.1539 memory: 17350 grad_norm: 5.2942 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0338 loss: 2.0338 2022/07/22 10:46:41 - mmengine - INFO - Epoch(train) [15][360/3757] lr: 1.0000e-02 eta: 2 days, 11:35:27 time: 0.5922 data_time: 0.1122 memory: 17350 grad_norm: 5.2529 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7350 loss: 1.7350 2022/07/22 10:46:56 - mmengine - INFO - Epoch(train) [15][380/3757] lr: 1.0000e-02 eta: 2 days, 11:35:23 time: 0.7411 data_time: 0.2005 memory: 17350 grad_norm: 5.4638 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0224 loss: 2.0224 2022/07/22 10:47:08 - mmengine - INFO - Epoch(train) [15][400/3757] lr: 1.0000e-02 eta: 2 days, 11:35:03 time: 0.6064 data_time: 0.1545 memory: 17350 grad_norm: 5.5657 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9307 loss: 1.9307 2022/07/22 10:47:12 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 10:47:23 - mmengine - INFO - Epoch(train) [15][420/3757] lr: 1.0000e-02 eta: 2 days, 11:35:00 time: 0.7451 data_time: 0.2276 memory: 17350 grad_norm: 5.3015 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2778 loss: 2.2778 2022/07/22 10:47:35 - mmengine - INFO - Epoch(train) [15][440/3757] lr: 1.0000e-02 eta: 2 days, 11:34:35 time: 0.5724 data_time: 0.1724 memory: 17350 grad_norm: 5.1895 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2645 loss: 2.2645 2022/07/22 10:47:49 - mmengine - INFO - Epoch(train) [15][460/3757] lr: 1.0000e-02 eta: 2 days, 11:34:30 time: 0.7355 data_time: 0.3431 memory: 17350 grad_norm: 5.4764 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0819 loss: 2.0819 2022/07/22 10:48:02 - mmengine - INFO - Epoch(train) [15][480/3757] lr: 1.0000e-02 eta: 2 days, 11:34:11 time: 0.6155 data_time: 0.2356 memory: 17350 grad_norm: 5.1707 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9318 loss: 1.9318 2022/07/22 10:48:16 - mmengine - INFO - Epoch(train) [15][500/3757] lr: 1.0000e-02 eta: 2 days, 11:34:07 time: 0.7417 data_time: 0.3264 memory: 17350 grad_norm: 5.4862 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9950 loss: 1.9950 2022/07/22 10:48:29 - mmengine - INFO - Epoch(train) [15][520/3757] lr: 1.0000e-02 eta: 2 days, 11:33:46 time: 0.6041 data_time: 0.2571 memory: 17350 grad_norm: 5.2459 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9464 loss: 1.9464 2022/07/22 10:48:43 - mmengine - INFO - Epoch(train) [15][540/3757] lr: 1.0000e-02 eta: 2 days, 11:33:41 time: 0.7281 data_time: 0.2895 memory: 17350 grad_norm: 5.4021 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3318 loss: 2.3318 2022/07/22 10:48:55 - mmengine - INFO - Epoch(train) [15][560/3757] lr: 1.0000e-02 eta: 2 days, 11:33:17 time: 0.5815 data_time: 0.1967 memory: 17350 grad_norm: 5.2291 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0918 loss: 2.0918 2022/07/22 10:49:10 - mmengine - INFO - Epoch(train) [15][580/3757] lr: 1.0000e-02 eta: 2 days, 11:33:16 time: 0.7654 data_time: 0.2698 memory: 17350 grad_norm: 5.2330 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2360 loss: 2.2360 2022/07/22 10:49:22 - mmengine - INFO - Epoch(train) [15][600/3757] lr: 1.0000e-02 eta: 2 days, 11:32:54 time: 0.5920 data_time: 0.1181 memory: 17350 grad_norm: 5.4354 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1532 loss: 2.1532 2022/07/22 10:49:36 - mmengine - INFO - Epoch(train) [15][620/3757] lr: 1.0000e-02 eta: 2 days, 11:32:47 time: 0.7122 data_time: 0.1559 memory: 17350 grad_norm: 5.3292 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9804 loss: 1.9804 2022/07/22 10:49:48 - mmengine - INFO - Epoch(train) [15][640/3757] lr: 1.0000e-02 eta: 2 days, 11:32:23 time: 0.5766 data_time: 0.1216 memory: 17350 grad_norm: 5.1191 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8485 loss: 1.8485 2022/07/22 10:50:03 - mmengine - INFO - Epoch(train) [15][660/3757] lr: 1.0000e-02 eta: 2 days, 11:32:22 time: 0.7719 data_time: 0.1730 memory: 17350 grad_norm: 5.3928 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2389 loss: 2.2389 2022/07/22 10:50:16 - mmengine - INFO - Epoch(train) [15][680/3757] lr: 1.0000e-02 eta: 2 days, 11:32:04 time: 0.6245 data_time: 0.1307 memory: 17350 grad_norm: 5.2977 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9473 loss: 1.9473 2022/07/22 10:50:30 - mmengine - INFO - Epoch(train) [15][700/3757] lr: 1.0000e-02 eta: 2 days, 11:31:59 time: 0.7332 data_time: 0.2013 memory: 17350 grad_norm: 5.1241 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9767 loss: 1.9767 2022/07/22 10:50:42 - mmengine - INFO - Epoch(train) [15][720/3757] lr: 1.0000e-02 eta: 2 days, 11:31:38 time: 0.5974 data_time: 0.0944 memory: 17350 grad_norm: 5.4524 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1832 loss: 2.1832 2022/07/22 10:50:57 - mmengine - INFO - Epoch(train) [15][740/3757] lr: 1.0000e-02 eta: 2 days, 11:31:32 time: 0.7293 data_time: 0.0922 memory: 17350 grad_norm: 5.3579 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1826 loss: 2.1826 2022/07/22 10:51:08 - mmengine - INFO - Epoch(train) [15][760/3757] lr: 1.0000e-02 eta: 2 days, 11:31:06 time: 0.5577 data_time: 0.1191 memory: 17350 grad_norm: 5.4369 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9097 loss: 1.9097 2022/07/22 10:51:23 - mmengine - INFO - Epoch(train) [15][780/3757] lr: 1.0000e-02 eta: 2 days, 11:31:00 time: 0.7266 data_time: 0.3597 memory: 17350 grad_norm: 5.3779 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3401 loss: 2.3401 2022/07/22 10:51:34 - mmengine - INFO - Epoch(train) [15][800/3757] lr: 1.0000e-02 eta: 2 days, 11:30:38 time: 0.5884 data_time: 0.2579 memory: 17350 grad_norm: 5.4080 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2673 loss: 2.2673 2022/07/22 10:51:49 - mmengine - INFO - Epoch(train) [15][820/3757] lr: 1.0000e-02 eta: 2 days, 11:30:31 time: 0.7179 data_time: 0.3404 memory: 17350 grad_norm: 5.3844 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2291 loss: 2.2291 2022/07/22 10:52:01 - mmengine - INFO - Epoch(train) [15][840/3757] lr: 1.0000e-02 eta: 2 days, 11:30:10 time: 0.6035 data_time: 0.2685 memory: 17350 grad_norm: 5.3024 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2404 loss: 2.2404 2022/07/22 10:52:15 - mmengine - INFO - Epoch(train) [15][860/3757] lr: 1.0000e-02 eta: 2 days, 11:30:05 time: 0.7328 data_time: 0.3381 memory: 17350 grad_norm: 5.3862 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9880 loss: 1.9880 2022/07/22 10:52:28 - mmengine - INFO - Epoch(train) [15][880/3757] lr: 1.0000e-02 eta: 2 days, 11:29:46 time: 0.6135 data_time: 0.2144 memory: 17350 grad_norm: 5.1849 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0797 loss: 2.0797 2022/07/22 10:52:42 - mmengine - INFO - Epoch(train) [15][900/3757] lr: 1.0000e-02 eta: 2 days, 11:29:38 time: 0.7148 data_time: 0.2370 memory: 17350 grad_norm: 5.1908 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.2117 loss: 2.2117 2022/07/22 10:52:54 - mmengine - INFO - Epoch(train) [15][920/3757] lr: 1.0000e-02 eta: 2 days, 11:29:20 time: 0.6222 data_time: 0.2246 memory: 17350 grad_norm: 5.2598 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1175 loss: 2.1175 2022/07/22 10:53:08 - mmengine - INFO - Epoch(train) [15][940/3757] lr: 1.0000e-02 eta: 2 days, 11:29:11 time: 0.6995 data_time: 0.2203 memory: 17350 grad_norm: 5.2501 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9782 loss: 1.9782 2022/07/22 10:53:21 - mmengine - INFO - Epoch(train) [15][960/3757] lr: 1.0000e-02 eta: 2 days, 11:28:56 time: 0.6487 data_time: 0.0905 memory: 17350 grad_norm: 5.4093 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8572 loss: 1.8572 2022/07/22 10:53:35 - mmengine - INFO - Epoch(train) [15][980/3757] lr: 1.0000e-02 eta: 2 days, 11:28:46 time: 0.6974 data_time: 0.0338 memory: 17350 grad_norm: 5.5109 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0417 loss: 2.0417 2022/07/22 10:53:48 - mmengine - INFO - Epoch(train) [15][1000/3757] lr: 1.0000e-02 eta: 2 days, 11:28:26 time: 0.6090 data_time: 0.0338 memory: 17350 grad_norm: 5.2700 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1128 loss: 2.1128 2022/07/22 10:54:01 - mmengine - INFO - Epoch(train) [15][1020/3757] lr: 1.0000e-02 eta: 2 days, 11:28:16 time: 0.6892 data_time: 0.0206 memory: 17350 grad_norm: 5.2979 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1845 loss: 2.1845 2022/07/22 10:54:14 - mmengine - INFO - Epoch(train) [15][1040/3757] lr: 1.0000e-02 eta: 2 days, 11:28:02 time: 0.6572 data_time: 0.0261 memory: 17350 grad_norm: 5.4876 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2617 loss: 2.2617 2022/07/22 10:54:28 - mmengine - INFO - Epoch(train) [15][1060/3757] lr: 1.0000e-02 eta: 2 days, 11:27:48 time: 0.6604 data_time: 0.0229 memory: 17350 grad_norm: 5.5391 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4372 loss: 2.4372 2022/07/22 10:54:41 - mmengine - INFO - Epoch(train) [15][1080/3757] lr: 1.0000e-02 eta: 2 days, 11:27:34 time: 0.6615 data_time: 0.0322 memory: 17350 grad_norm: 5.3543 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9883 loss: 1.9883 2022/07/22 10:54:55 - mmengine - INFO - Epoch(train) [15][1100/3757] lr: 1.0000e-02 eta: 2 days, 11:27:25 time: 0.7022 data_time: 0.0230 memory: 17350 grad_norm: 5.3738 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3651 loss: 2.3651 2022/07/22 10:55:08 - mmengine - INFO - Epoch(train) [15][1120/3757] lr: 1.0000e-02 eta: 2 days, 11:27:11 time: 0.6546 data_time: 0.0339 memory: 17350 grad_norm: 5.5777 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2079 loss: 2.2079 2022/07/22 10:55:22 - mmengine - INFO - Epoch(train) [15][1140/3757] lr: 1.0000e-02 eta: 2 days, 11:27:01 time: 0.6903 data_time: 0.0240 memory: 17350 grad_norm: 5.2557 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8753 loss: 1.8753 2022/07/22 10:55:35 - mmengine - INFO - Epoch(train) [15][1160/3757] lr: 1.0000e-02 eta: 2 days, 11:26:45 time: 0.6417 data_time: 0.0229 memory: 17350 grad_norm: 5.5399 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2560 loss: 2.2560 2022/07/22 10:55:48 - mmengine - INFO - Epoch(train) [15][1180/3757] lr: 1.0000e-02 eta: 2 days, 11:26:31 time: 0.6649 data_time: 0.0274 memory: 17350 grad_norm: 5.4507 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9889 loss: 1.9889 2022/07/22 10:56:02 - mmengine - INFO - Epoch(train) [15][1200/3757] lr: 1.0000e-02 eta: 2 days, 11:26:22 time: 0.6939 data_time: 0.0226 memory: 17350 grad_norm: 5.4948 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0749 loss: 2.0749 2022/07/22 10:56:15 - mmengine - INFO - Epoch(train) [15][1220/3757] lr: 1.0000e-02 eta: 2 days, 11:26:04 time: 0.6309 data_time: 0.0219 memory: 17350 grad_norm: 5.5276 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5227 loss: 2.5227 2022/07/22 10:56:28 - mmengine - INFO - Epoch(train) [15][1240/3757] lr: 1.0000e-02 eta: 2 days, 11:25:53 time: 0.6797 data_time: 0.0237 memory: 17350 grad_norm: 5.3274 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1721 loss: 2.1721 2022/07/22 10:56:41 - mmengine - INFO - Epoch(train) [15][1260/3757] lr: 1.0000e-02 eta: 2 days, 11:25:40 time: 0.6682 data_time: 0.0238 memory: 17350 grad_norm: 5.4225 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2326 loss: 2.2326 2022/07/22 10:56:56 - mmengine - INFO - Epoch(train) [15][1280/3757] lr: 1.0000e-02 eta: 2 days, 11:25:34 time: 0.7285 data_time: 0.0244 memory: 17350 grad_norm: 5.3597 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1516 loss: 2.1516 2022/07/22 10:57:08 - mmengine - INFO - Epoch(train) [15][1300/3757] lr: 1.0000e-02 eta: 2 days, 11:25:14 time: 0.6060 data_time: 0.0247 memory: 17350 grad_norm: 5.2908 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8755 loss: 1.8755 2022/07/22 10:57:22 - mmengine - INFO - Epoch(train) [15][1320/3757] lr: 1.0000e-02 eta: 2 days, 11:25:03 time: 0.6859 data_time: 0.0637 memory: 17350 grad_norm: 5.5457 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9790 loss: 1.9790 2022/07/22 10:57:36 - mmengine - INFO - Epoch(train) [15][1340/3757] lr: 1.0000e-02 eta: 2 days, 11:24:53 time: 0.6937 data_time: 0.0272 memory: 17350 grad_norm: 5.6834 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1244 loss: 2.1244 2022/07/22 10:57:48 - mmengine - INFO - Epoch(train) [15][1360/3757] lr: 1.0000e-02 eta: 2 days, 11:24:32 time: 0.6014 data_time: 0.0225 memory: 17350 grad_norm: 5.5004 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0654 loss: 2.0654 2022/07/22 10:58:02 - mmengine - INFO - Epoch(train) [15][1380/3757] lr: 1.0000e-02 eta: 2 days, 11:24:26 time: 0.7205 data_time: 0.0232 memory: 17350 grad_norm: 5.5967 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1978 loss: 2.1978 2022/07/22 10:58:14 - mmengine - INFO - Epoch(train) [15][1400/3757] lr: 1.0000e-02 eta: 2 days, 11:24:05 time: 0.6007 data_time: 0.0255 memory: 17350 grad_norm: 5.1826 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2491 loss: 2.2491 2022/07/22 10:58:17 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 10:58:28 - mmengine - INFO - Epoch(train) [15][1420/3757] lr: 1.0000e-02 eta: 2 days, 11:23:57 time: 0.7088 data_time: 0.0236 memory: 17350 grad_norm: 5.3190 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0012 loss: 2.0012 2022/07/22 10:58:40 - mmengine - INFO - Epoch(train) [15][1440/3757] lr: 1.0000e-02 eta: 2 days, 11:23:36 time: 0.6019 data_time: 0.0245 memory: 17350 grad_norm: 5.2609 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1760 loss: 2.1760 2022/07/22 10:58:54 - mmengine - INFO - Epoch(train) [15][1460/3757] lr: 1.0000e-02 eta: 2 days, 11:23:24 time: 0.6758 data_time: 0.0703 memory: 17350 grad_norm: 5.4880 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1266 loss: 2.1266 2022/07/22 10:59:06 - mmengine - INFO - Epoch(train) [15][1480/3757] lr: 1.0000e-02 eta: 2 days, 11:23:06 time: 0.6233 data_time: 0.1057 memory: 17350 grad_norm: 5.3589 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9364 loss: 1.9364 2022/07/22 10:59:22 - mmengine - INFO - Epoch(train) [15][1500/3757] lr: 1.0000e-02 eta: 2 days, 11:23:05 time: 0.7664 data_time: 0.1111 memory: 17350 grad_norm: 5.1184 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9858 loss: 1.9858 2022/07/22 10:59:33 - mmengine - INFO - Epoch(train) [15][1520/3757] lr: 1.0000e-02 eta: 2 days, 11:22:41 time: 0.5800 data_time: 0.0241 memory: 17350 grad_norm: 5.3756 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5083 loss: 2.5083 2022/07/22 10:59:48 - mmengine - INFO - Epoch(train) [15][1540/3757] lr: 1.0000e-02 eta: 2 days, 11:22:35 time: 0.7270 data_time: 0.0229 memory: 17350 grad_norm: 5.2552 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2545 loss: 2.2545 2022/07/22 10:59:59 - mmengine - INFO - Epoch(train) [15][1560/3757] lr: 1.0000e-02 eta: 2 days, 11:22:10 time: 0.5638 data_time: 0.0222 memory: 17350 grad_norm: 5.4322 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2202 loss: 2.2202 2022/07/22 11:00:14 - mmengine - INFO - Epoch(train) [15][1580/3757] lr: 1.0000e-02 eta: 2 days, 11:22:07 time: 0.7493 data_time: 0.0897 memory: 17350 grad_norm: 5.4851 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1235 loss: 2.1235 2022/07/22 11:00:27 - mmengine - INFO - Epoch(train) [15][1600/3757] lr: 1.0000e-02 eta: 2 days, 11:21:49 time: 0.6251 data_time: 0.0742 memory: 17350 grad_norm: 5.4856 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7878 loss: 1.7878 2022/07/22 11:00:42 - mmengine - INFO - Epoch(train) [15][1620/3757] lr: 1.0000e-02 eta: 2 days, 11:21:45 time: 0.7480 data_time: 0.0238 memory: 17350 grad_norm: 5.4042 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1665 loss: 2.1665 2022/07/22 11:00:53 - mmengine - INFO - Epoch(train) [15][1640/3757] lr: 1.0000e-02 eta: 2 days, 11:21:21 time: 0.5705 data_time: 0.0215 memory: 17350 grad_norm: 5.3817 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1853 loss: 2.1853 2022/07/22 11:01:09 - mmengine - INFO - Epoch(train) [15][1660/3757] lr: 1.0000e-02 eta: 2 days, 11:21:21 time: 0.7735 data_time: 0.0225 memory: 17350 grad_norm: 5.4302 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0249 loss: 2.0249 2022/07/22 11:01:20 - mmengine - INFO - Epoch(train) [15][1680/3757] lr: 1.0000e-02 eta: 2 days, 11:20:56 time: 0.5725 data_time: 0.0217 memory: 17350 grad_norm: 5.4302 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1450 loss: 2.1450 2022/07/22 11:01:35 - mmengine - INFO - Epoch(train) [15][1700/3757] lr: 1.0000e-02 eta: 2 days, 11:20:51 time: 0.7309 data_time: 0.0216 memory: 17350 grad_norm: 5.1609 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8962 loss: 1.8962 2022/07/22 11:01:47 - mmengine - INFO - Epoch(train) [15][1720/3757] lr: 1.0000e-02 eta: 2 days, 11:20:31 time: 0.6105 data_time: 0.0225 memory: 17350 grad_norm: 5.5116 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2454 loss: 2.2454 2022/07/22 11:02:00 - mmengine - INFO - Epoch(train) [15][1740/3757] lr: 1.0000e-02 eta: 2 days, 11:20:17 time: 0.6582 data_time: 0.0222 memory: 17350 grad_norm: 5.4342 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0286 loss: 2.0286 2022/07/22 11:02:13 - mmengine - INFO - Epoch(train) [15][1760/3757] lr: 1.0000e-02 eta: 2 days, 11:20:02 time: 0.6480 data_time: 0.0236 memory: 17350 grad_norm: 5.2883 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1768 loss: 2.1768 2022/07/22 11:02:27 - mmengine - INFO - Epoch(train) [15][1780/3757] lr: 1.0000e-02 eta: 2 days, 11:19:53 time: 0.7007 data_time: 0.0284 memory: 17350 grad_norm: 5.3285 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2341 loss: 2.2341 2022/07/22 11:02:40 - mmengine - INFO - Epoch(train) [15][1800/3757] lr: 1.0000e-02 eta: 2 days, 11:19:35 time: 0.6275 data_time: 0.0249 memory: 17350 grad_norm: 5.3396 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9833 loss: 1.9833 2022/07/22 11:02:55 - mmengine - INFO - Epoch(train) [15][1820/3757] lr: 1.0000e-02 eta: 2 days, 11:19:32 time: 0.7475 data_time: 0.0215 memory: 17350 grad_norm: 5.3144 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7903 loss: 1.7903 2022/07/22 11:03:06 - mmengine - INFO - Epoch(train) [15][1840/3757] lr: 1.0000e-02 eta: 2 days, 11:19:10 time: 0.5950 data_time: 0.0229 memory: 17350 grad_norm: 5.2275 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0062 loss: 2.0062 2022/07/22 11:03:20 - mmengine - INFO - Epoch(train) [15][1860/3757] lr: 1.0000e-02 eta: 2 days, 11:19:01 time: 0.6988 data_time: 0.0228 memory: 17350 grad_norm: 5.3777 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0884 loss: 2.0884 2022/07/22 11:03:32 - mmengine - INFO - Epoch(train) [15][1880/3757] lr: 1.0000e-02 eta: 2 days, 11:18:37 time: 0.5783 data_time: 0.0217 memory: 17350 grad_norm: 5.6679 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1736 loss: 2.1736 2022/07/22 11:03:46 - mmengine - INFO - Epoch(train) [15][1900/3757] lr: 1.0000e-02 eta: 2 days, 11:18:28 time: 0.6996 data_time: 0.0247 memory: 17350 grad_norm: 5.2645 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.0994 loss: 2.0994 2022/07/22 11:03:58 - mmengine - INFO - Epoch(train) [15][1920/3757] lr: 1.0000e-02 eta: 2 days, 11:18:05 time: 0.5789 data_time: 0.0241 memory: 17350 grad_norm: 5.4035 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3208 loss: 2.3208 2022/07/22 11:04:12 - mmengine - INFO - Epoch(train) [15][1940/3757] lr: 1.0000e-02 eta: 2 days, 11:18:00 time: 0.7386 data_time: 0.0237 memory: 17350 grad_norm: 5.2442 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9931 loss: 1.9931 2022/07/22 11:04:24 - mmengine - INFO - Epoch(train) [15][1960/3757] lr: 1.0000e-02 eta: 2 days, 11:17:37 time: 0.5831 data_time: 0.0224 memory: 17350 grad_norm: 5.2223 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1843 loss: 2.1843 2022/07/22 11:04:39 - mmengine - INFO - Epoch(train) [15][1980/3757] lr: 1.0000e-02 eta: 2 days, 11:17:36 time: 0.7709 data_time: 0.0218 memory: 17350 grad_norm: 5.4795 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2925 loss: 2.2925 2022/07/22 11:04:51 - mmengine - INFO - Epoch(train) [15][2000/3757] lr: 1.0000e-02 eta: 2 days, 11:17:16 time: 0.6036 data_time: 0.0245 memory: 17350 grad_norm: 5.5709 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2799 loss: 2.2799 2022/07/22 11:05:07 - mmengine - INFO - Epoch(train) [15][2020/3757] lr: 1.0000e-02 eta: 2 days, 11:17:13 time: 0.7515 data_time: 0.0247 memory: 17350 grad_norm: 5.4361 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9765 loss: 1.9765 2022/07/22 11:05:19 - mmengine - INFO - Epoch(train) [15][2040/3757] lr: 1.0000e-02 eta: 2 days, 11:16:56 time: 0.6303 data_time: 0.0212 memory: 17350 grad_norm: 5.4334 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3447 loss: 2.3447 2022/07/22 11:05:33 - mmengine - INFO - Epoch(train) [15][2060/3757] lr: 1.0000e-02 eta: 2 days, 11:16:47 time: 0.7074 data_time: 0.0233 memory: 17350 grad_norm: 5.2800 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8562 loss: 1.8562 2022/07/22 11:05:46 - mmengine - INFO - Epoch(train) [15][2080/3757] lr: 1.0000e-02 eta: 2 days, 11:16:31 time: 0.6363 data_time: 0.0231 memory: 17350 grad_norm: 5.2018 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1565 loss: 2.1565 2022/07/22 11:06:01 - mmengine - INFO - Epoch(train) [15][2100/3757] lr: 1.0000e-02 eta: 2 days, 11:16:24 time: 0.7253 data_time: 0.0219 memory: 17350 grad_norm: 5.2817 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3879 loss: 2.3879 2022/07/22 11:06:13 - mmengine - INFO - Epoch(train) [15][2120/3757] lr: 1.0000e-02 eta: 2 days, 11:16:04 time: 0.6062 data_time: 0.0251 memory: 17350 grad_norm: 5.3592 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9359 loss: 1.9359 2022/07/22 11:06:27 - mmengine - INFO - Epoch(train) [15][2140/3757] lr: 1.0000e-02 eta: 2 days, 11:15:59 time: 0.7340 data_time: 0.0220 memory: 17350 grad_norm: 5.2373 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3639 loss: 2.3639 2022/07/22 11:06:39 - mmengine - INFO - Epoch(train) [15][2160/3757] lr: 1.0000e-02 eta: 2 days, 11:15:37 time: 0.5939 data_time: 0.0218 memory: 17350 grad_norm: 5.1738 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8190 loss: 1.8190 2022/07/22 11:06:53 - mmengine - INFO - Epoch(train) [15][2180/3757] lr: 1.0000e-02 eta: 2 days, 11:15:29 time: 0.7060 data_time: 0.0225 memory: 17350 grad_norm: 5.4249 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1304 loss: 2.1304 2022/07/22 11:07:05 - mmengine - INFO - Epoch(train) [15][2200/3757] lr: 1.0000e-02 eta: 2 days, 11:15:09 time: 0.6073 data_time: 0.0225 memory: 17350 grad_norm: 5.4643 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9165 loss: 1.9165 2022/07/22 11:07:19 - mmengine - INFO - Epoch(train) [15][2220/3757] lr: 1.0000e-02 eta: 2 days, 11:14:58 time: 0.6847 data_time: 0.0249 memory: 17350 grad_norm: 5.4005 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0756 loss: 2.0756 2022/07/22 11:07:32 - mmengine - INFO - Epoch(train) [15][2240/3757] lr: 1.0000e-02 eta: 2 days, 11:14:41 time: 0.6304 data_time: 0.0239 memory: 17350 grad_norm: 5.4510 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0415 loss: 2.0415 2022/07/22 11:07:47 - mmengine - INFO - Epoch(train) [15][2260/3757] lr: 1.0000e-02 eta: 2 days, 11:14:37 time: 0.7467 data_time: 0.0242 memory: 17350 grad_norm: 5.4138 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0718 loss: 2.0718 2022/07/22 11:07:58 - mmengine - INFO - Epoch(train) [15][2280/3757] lr: 1.0000e-02 eta: 2 days, 11:14:14 time: 0.5829 data_time: 0.0228 memory: 17350 grad_norm: 5.2488 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1015 loss: 2.1015 2022/07/22 11:08:12 - mmengine - INFO - Epoch(train) [15][2300/3757] lr: 1.0000e-02 eta: 2 days, 11:14:05 time: 0.7005 data_time: 0.0246 memory: 17350 grad_norm: 5.4552 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9523 loss: 1.9523 2022/07/22 11:08:24 - mmengine - INFO - Epoch(train) [15][2320/3757] lr: 1.0000e-02 eta: 2 days, 11:13:43 time: 0.5909 data_time: 0.0220 memory: 17350 grad_norm: 5.1840 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5667 loss: 2.5667 2022/07/22 11:08:39 - mmengine - INFO - Epoch(train) [15][2340/3757] lr: 1.0000e-02 eta: 2 days, 11:13:40 time: 0.7493 data_time: 0.0230 memory: 17350 grad_norm: 5.5256 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3142 loss: 2.3142 2022/07/22 11:08:51 - mmengine - INFO - Epoch(train) [15][2360/3757] lr: 1.0000e-02 eta: 2 days, 11:13:18 time: 0.5909 data_time: 0.0232 memory: 17350 grad_norm: 5.2643 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2818 loss: 2.2818 2022/07/22 11:09:05 - mmengine - INFO - Epoch(train) [15][2380/3757] lr: 1.0000e-02 eta: 2 days, 11:13:10 time: 0.7126 data_time: 0.0222 memory: 17350 grad_norm: 5.3099 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2163 loss: 2.2163 2022/07/22 11:09:18 - mmengine - INFO - Epoch(train) [15][2400/3757] lr: 1.0000e-02 eta: 2 days, 11:12:55 time: 0.6489 data_time: 0.0281 memory: 17350 grad_norm: 5.1988 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6830 loss: 1.6830 2022/07/22 11:09:19 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 11:09:34 - mmengine - INFO - Epoch(train) [15][2420/3757] lr: 1.0000e-02 eta: 2 days, 11:12:54 time: 0.7702 data_time: 0.0219 memory: 17350 grad_norm: 5.2717 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1990 loss: 2.1990 2022/07/22 11:09:45 - mmengine - INFO - Epoch(train) [15][2440/3757] lr: 1.0000e-02 eta: 2 days, 11:12:28 time: 0.5559 data_time: 0.0230 memory: 17350 grad_norm: 5.3536 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8230 loss: 1.8230 2022/07/22 11:10:00 - mmengine - INFO - Epoch(train) [15][2460/3757] lr: 1.0000e-02 eta: 2 days, 11:12:25 time: 0.7533 data_time: 0.0220 memory: 17350 grad_norm: 5.3900 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1829 loss: 2.1829 2022/07/22 11:10:13 - mmengine - INFO - Epoch(train) [15][2480/3757] lr: 1.0000e-02 eta: 2 days, 11:12:09 time: 0.6414 data_time: 0.0258 memory: 17350 grad_norm: 5.3914 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7773 loss: 1.7773 2022/07/22 11:10:28 - mmengine - INFO - Epoch(train) [15][2500/3757] lr: 1.0000e-02 eta: 2 days, 11:12:05 time: 0.7405 data_time: 0.0229 memory: 17350 grad_norm: 5.4692 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1808 loss: 2.1808 2022/07/22 11:10:39 - mmengine - INFO - Epoch(train) [15][2520/3757] lr: 1.0000e-02 eta: 2 days, 11:11:40 time: 0.5678 data_time: 0.0225 memory: 17350 grad_norm: 5.5856 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2410 loss: 2.2410 2022/07/22 11:10:53 - mmengine - INFO - Epoch(train) [15][2540/3757] lr: 1.0000e-02 eta: 2 days, 11:11:32 time: 0.7097 data_time: 0.0214 memory: 17350 grad_norm: 5.2758 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0719 loss: 2.0719 2022/07/22 11:11:05 - mmengine - INFO - Epoch(train) [15][2560/3757] lr: 1.0000e-02 eta: 2 days, 11:11:08 time: 0.5767 data_time: 0.0213 memory: 17350 grad_norm: 5.5420 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0130 loss: 2.0130 2022/07/22 11:11:20 - mmengine - INFO - Epoch(train) [15][2580/3757] lr: 1.0000e-02 eta: 2 days, 11:11:04 time: 0.7435 data_time: 0.0229 memory: 17350 grad_norm: 5.3996 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3412 loss: 2.3412 2022/07/22 11:11:32 - mmengine - INFO - Epoch(train) [15][2600/3757] lr: 1.0000e-02 eta: 2 days, 11:10:46 time: 0.6186 data_time: 0.0233 memory: 17350 grad_norm: 5.4066 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3156 loss: 2.3156 2022/07/22 11:11:46 - mmengine - INFO - Epoch(train) [15][2620/3757] lr: 1.0000e-02 eta: 2 days, 11:10:39 time: 0.7268 data_time: 0.0703 memory: 17350 grad_norm: 5.2855 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0353 loss: 2.0353 2022/07/22 11:11:59 - mmengine - INFO - Epoch(train) [15][2640/3757] lr: 1.0000e-02 eta: 2 days, 11:10:20 time: 0.6144 data_time: 0.0806 memory: 17350 grad_norm: 5.3940 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9177 loss: 1.9177 2022/07/22 11:12:13 - mmengine - INFO - Epoch(train) [15][2660/3757] lr: 1.0000e-02 eta: 2 days, 11:10:13 time: 0.7145 data_time: 0.1276 memory: 17350 grad_norm: 5.3553 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0617 loss: 2.0617 2022/07/22 11:12:25 - mmengine - INFO - Epoch(train) [15][2680/3757] lr: 1.0000e-02 eta: 2 days, 11:09:54 time: 0.6134 data_time: 0.0224 memory: 17350 grad_norm: 5.3582 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0283 loss: 2.0283 2022/07/22 11:12:40 - mmengine - INFO - Epoch(train) [15][2700/3757] lr: 1.0000e-02 eta: 2 days, 11:09:48 time: 0.7277 data_time: 0.0225 memory: 17350 grad_norm: 5.4848 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1315 loss: 2.1315 2022/07/22 11:12:52 - mmengine - INFO - Epoch(train) [15][2720/3757] lr: 1.0000e-02 eta: 2 days, 11:09:27 time: 0.6012 data_time: 0.0233 memory: 17350 grad_norm: 5.4029 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3328 loss: 2.3328 2022/07/22 11:13:06 - mmengine - INFO - Epoch(train) [15][2740/3757] lr: 1.0000e-02 eta: 2 days, 11:09:17 time: 0.6962 data_time: 0.0227 memory: 17350 grad_norm: 5.3204 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3381 loss: 2.3381 2022/07/22 11:13:18 - mmengine - INFO - Epoch(train) [15][2760/3757] lr: 1.0000e-02 eta: 2 days, 11:08:59 time: 0.6210 data_time: 0.0212 memory: 17350 grad_norm: 5.4871 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1713 loss: 2.1713 2022/07/22 11:13:32 - mmengine - INFO - Epoch(train) [15][2780/3757] lr: 1.0000e-02 eta: 2 days, 11:08:46 time: 0.6664 data_time: 0.0214 memory: 17350 grad_norm: 5.3121 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0475 loss: 2.0475 2022/07/22 11:13:45 - mmengine - INFO - Epoch(train) [15][2800/3757] lr: 1.0000e-02 eta: 2 days, 11:08:34 time: 0.6782 data_time: 0.0219 memory: 17350 grad_norm: 5.3221 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5290 loss: 2.5290 2022/07/22 11:13:58 - mmengine - INFO - Epoch(train) [15][2820/3757] lr: 1.0000e-02 eta: 2 days, 11:08:18 time: 0.6427 data_time: 0.0246 memory: 17350 grad_norm: 5.4294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5810 loss: 2.5810 2022/07/22 11:14:12 - mmengine - INFO - Epoch(train) [15][2840/3757] lr: 1.0000e-02 eta: 2 days, 11:08:10 time: 0.7075 data_time: 0.0206 memory: 17350 grad_norm: 5.3570 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8694 loss: 1.8694 2022/07/22 11:14:25 - mmengine - INFO - Epoch(train) [15][2860/3757] lr: 1.0000e-02 eta: 2 days, 11:07:53 time: 0.6349 data_time: 0.0214 memory: 17350 grad_norm: 5.3427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1187 loss: 2.1187 2022/07/22 11:14:38 - mmengine - INFO - Epoch(train) [15][2880/3757] lr: 1.0000e-02 eta: 2 days, 11:07:37 time: 0.6406 data_time: 0.0225 memory: 17350 grad_norm: 5.4839 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1276 loss: 2.1276 2022/07/22 11:14:51 - mmengine - INFO - Epoch(train) [15][2900/3757] lr: 1.0000e-02 eta: 2 days, 11:07:25 time: 0.6762 data_time: 0.0224 memory: 17350 grad_norm: 5.2076 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9075 loss: 1.9075 2022/07/22 11:15:05 - mmengine - INFO - Epoch(train) [15][2920/3757] lr: 1.0000e-02 eta: 2 days, 11:07:15 time: 0.6925 data_time: 0.0222 memory: 17350 grad_norm: 5.4212 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8238 loss: 1.8238 2022/07/22 11:15:18 - mmengine - INFO - Epoch(train) [15][2940/3757] lr: 1.0000e-02 eta: 2 days, 11:07:02 time: 0.6677 data_time: 0.0219 memory: 17350 grad_norm: 5.3279 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7639 loss: 1.7639 2022/07/22 11:15:32 - mmengine - INFO - Epoch(train) [15][2960/3757] lr: 1.0000e-02 eta: 2 days, 11:06:51 time: 0.6852 data_time: 0.0220 memory: 17350 grad_norm: 5.4909 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3223 loss: 2.3223 2022/07/22 11:15:45 - mmengine - INFO - Epoch(train) [15][2980/3757] lr: 1.0000e-02 eta: 2 days, 11:06:37 time: 0.6598 data_time: 0.0261 memory: 17350 grad_norm: 5.3332 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0697 loss: 2.0697 2022/07/22 11:15:59 - mmengine - INFO - Epoch(train) [15][3000/3757] lr: 1.0000e-02 eta: 2 days, 11:06:23 time: 0.6598 data_time: 0.0222 memory: 17350 grad_norm: 5.2857 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1562 loss: 2.1562 2022/07/22 11:16:12 - mmengine - INFO - Epoch(train) [15][3020/3757] lr: 1.0000e-02 eta: 2 days, 11:06:11 time: 0.6690 data_time: 0.0216 memory: 17350 grad_norm: 5.2732 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9374 loss: 1.9374 2022/07/22 11:16:25 - mmengine - INFO - Epoch(train) [15][3040/3757] lr: 1.0000e-02 eta: 2 days, 11:05:58 time: 0.6687 data_time: 0.0209 memory: 17350 grad_norm: 5.2713 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8664 loss: 1.8664 2022/07/22 11:16:39 - mmengine - INFO - Epoch(train) [15][3060/3757] lr: 1.0000e-02 eta: 2 days, 11:05:44 time: 0.6621 data_time: 0.0209 memory: 17350 grad_norm: 5.2032 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8656 loss: 1.8656 2022/07/22 11:16:53 - mmengine - INFO - Epoch(train) [15][3080/3757] lr: 1.0000e-02 eta: 2 days, 11:05:36 time: 0.7088 data_time: 0.0211 memory: 17350 grad_norm: 5.2714 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8341 loss: 1.8341 2022/07/22 11:17:05 - mmengine - INFO - Epoch(train) [15][3100/3757] lr: 1.0000e-02 eta: 2 days, 11:05:15 time: 0.6016 data_time: 0.0255 memory: 17350 grad_norm: 5.4595 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2648 loss: 2.2648 2022/07/22 11:17:18 - mmengine - INFO - Epoch(train) [15][3120/3757] lr: 1.0000e-02 eta: 2 days, 11:05:04 time: 0.6819 data_time: 0.0274 memory: 17350 grad_norm: 5.1970 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1935 loss: 2.1935 2022/07/22 11:17:31 - mmengine - INFO - Epoch(train) [15][3140/3757] lr: 1.0000e-02 eta: 2 days, 11:04:47 time: 0.6355 data_time: 0.0225 memory: 17350 grad_norm: 5.1983 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9073 loss: 1.9073 2022/07/22 11:17:45 - mmengine - INFO - Epoch(train) [15][3160/3757] lr: 1.0000e-02 eta: 2 days, 11:04:35 time: 0.6711 data_time: 0.0290 memory: 17350 grad_norm: 5.3371 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1283 loss: 2.1283 2022/07/22 11:17:58 - mmengine - INFO - Epoch(train) [15][3180/3757] lr: 1.0000e-02 eta: 2 days, 11:04:22 time: 0.6688 data_time: 0.0217 memory: 17350 grad_norm: 5.3803 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0969 loss: 2.0969 2022/07/22 11:18:11 - mmengine - INFO - Epoch(train) [15][3200/3757] lr: 1.0000e-02 eta: 2 days, 11:04:07 time: 0.6542 data_time: 0.0228 memory: 17350 grad_norm: 5.3870 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8931 loss: 1.8931 2022/07/22 11:18:24 - mmengine - INFO - Epoch(train) [15][3220/3757] lr: 1.0000e-02 eta: 2 days, 11:03:55 time: 0.6721 data_time: 0.0225 memory: 17350 grad_norm: 5.3948 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0419 loss: 2.0419 2022/07/22 11:18:39 - mmengine - INFO - Epoch(train) [15][3240/3757] lr: 1.0000e-02 eta: 2 days, 11:03:47 time: 0.7098 data_time: 0.0253 memory: 17350 grad_norm: 5.1980 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0230 loss: 2.0230 2022/07/22 11:18:51 - mmengine - INFO - Epoch(train) [15][3260/3757] lr: 1.0000e-02 eta: 2 days, 11:03:27 time: 0.6054 data_time: 0.0212 memory: 17350 grad_norm: 5.1650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0815 loss: 2.0815 2022/07/22 11:19:05 - mmengine - INFO - Epoch(train) [15][3280/3757] lr: 1.0000e-02 eta: 2 days, 11:03:20 time: 0.7201 data_time: 0.0249 memory: 17350 grad_norm: 5.6310 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9440 loss: 1.9440 2022/07/22 11:19:17 - mmengine - INFO - Epoch(train) [15][3300/3757] lr: 1.0000e-02 eta: 2 days, 11:02:58 time: 0.5874 data_time: 0.0244 memory: 17350 grad_norm: 5.1838 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1604 loss: 2.1604 2022/07/22 11:19:31 - mmengine - INFO - Epoch(train) [15][3320/3757] lr: 1.0000e-02 eta: 2 days, 11:02:49 time: 0.7081 data_time: 0.0228 memory: 17350 grad_norm: 5.4330 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2926 loss: 2.2926 2022/07/22 11:19:43 - mmengine - INFO - Epoch(train) [15][3340/3757] lr: 1.0000e-02 eta: 2 days, 11:02:29 time: 0.5995 data_time: 0.0217 memory: 17350 grad_norm: 5.1944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0351 loss: 2.0351 2022/07/22 11:19:58 - mmengine - INFO - Epoch(train) [15][3360/3757] lr: 1.0000e-02 eta: 2 days, 11:02:25 time: 0.7534 data_time: 0.0237 memory: 17350 grad_norm: 5.2620 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2674 loss: 2.2674 2022/07/22 11:20:11 - mmengine - INFO - Epoch(train) [15][3380/3757] lr: 1.0000e-02 eta: 2 days, 11:02:11 time: 0.6516 data_time: 0.0232 memory: 17350 grad_norm: 5.4261 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2208 loss: 2.2208 2022/07/22 11:20:25 - mmengine - INFO - Epoch(train) [15][3400/3757] lr: 1.0000e-02 eta: 2 days, 11:01:58 time: 0.6697 data_time: 0.0239 memory: 17350 grad_norm: 5.2671 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2014 loss: 2.2014 2022/07/22 11:20:25 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 11:20:36 - mmengine - INFO - Epoch(train) [15][3420/3757] lr: 1.0000e-02 eta: 2 days, 11:01:34 time: 0.5691 data_time: 0.0238 memory: 17350 grad_norm: 5.3367 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3683 loss: 2.3683 2022/07/22 11:20:50 - mmengine - INFO - Epoch(train) [15][3440/3757] lr: 1.0000e-02 eta: 2 days, 11:01:25 time: 0.7077 data_time: 0.0209 memory: 17350 grad_norm: 5.1726 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2593 loss: 2.2593 2022/07/22 11:21:03 - mmengine - INFO - Epoch(train) [15][3460/3757] lr: 1.0000e-02 eta: 2 days, 11:01:12 time: 0.6649 data_time: 0.0217 memory: 17350 grad_norm: 5.4082 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3999 loss: 2.3999 2022/07/22 11:21:17 - mmengine - INFO - Epoch(train) [15][3480/3757] lr: 1.0000e-02 eta: 2 days, 11:01:02 time: 0.6914 data_time: 0.0222 memory: 17350 grad_norm: 5.4708 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9906 loss: 1.9906 2022/07/22 11:21:30 - mmengine - INFO - Epoch(train) [15][3500/3757] lr: 1.0000e-02 eta: 2 days, 11:00:44 time: 0.6241 data_time: 0.0241 memory: 17350 grad_norm: 5.4574 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0148 loss: 2.0148 2022/07/22 11:21:44 - mmengine - INFO - Epoch(train) [15][3520/3757] lr: 1.0000e-02 eta: 2 days, 11:00:34 time: 0.6945 data_time: 0.0222 memory: 17350 grad_norm: 5.2911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8348 loss: 1.8348 2022/07/22 11:21:56 - mmengine - INFO - Epoch(train) [15][3540/3757] lr: 1.0000e-02 eta: 2 days, 11:00:14 time: 0.6095 data_time: 0.0231 memory: 17350 grad_norm: 5.4090 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0151 loss: 2.0151 2022/07/22 11:22:11 - mmengine - INFO - Epoch(train) [15][3560/3757] lr: 1.0000e-02 eta: 2 days, 11:00:11 time: 0.7504 data_time: 0.0236 memory: 17350 grad_norm: 5.2200 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0425 loss: 2.0425 2022/07/22 11:22:22 - mmengine - INFO - Epoch(train) [15][3580/3757] lr: 1.0000e-02 eta: 2 days, 10:59:45 time: 0.5540 data_time: 0.0221 memory: 17350 grad_norm: 5.3545 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1803 loss: 2.1803 2022/07/22 11:22:37 - mmengine - INFO - Epoch(train) [15][3600/3757] lr: 1.0000e-02 eta: 2 days, 10:59:44 time: 0.7748 data_time: 0.0221 memory: 17350 grad_norm: 5.3950 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6792 loss: 1.6792 2022/07/22 11:22:50 - mmengine - INFO - Epoch(train) [15][3620/3757] lr: 1.0000e-02 eta: 2 days, 10:59:27 time: 0.6268 data_time: 0.0232 memory: 17350 grad_norm: 5.2634 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3053 loss: 2.3053 2022/07/22 11:23:04 - mmengine - INFO - Epoch(train) [15][3640/3757] lr: 1.0000e-02 eta: 2 days, 10:59:17 time: 0.6930 data_time: 0.0221 memory: 17350 grad_norm: 5.3682 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.8571 loss: 1.8571 2022/07/22 11:23:15 - mmengine - INFO - Epoch(train) [15][3660/3757] lr: 1.0000e-02 eta: 2 days, 10:58:54 time: 0.5812 data_time: 0.0221 memory: 17350 grad_norm: 5.3661 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1905 loss: 2.1905 2022/07/22 11:23:30 - mmengine - INFO - Epoch(train) [15][3680/3757] lr: 1.0000e-02 eta: 2 days, 10:58:48 time: 0.7345 data_time: 0.0150 memory: 17350 grad_norm: 5.4202 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9100 loss: 1.9100 2022/07/22 11:23:42 - mmengine - INFO - Epoch(train) [15][3700/3757] lr: 1.0000e-02 eta: 2 days, 10:58:27 time: 0.5929 data_time: 0.0246 memory: 17350 grad_norm: 5.2087 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7556 loss: 1.7556 2022/07/22 11:23:56 - mmengine - INFO - Epoch(train) [15][3720/3757] lr: 1.0000e-02 eta: 2 days, 10:58:15 time: 0.6746 data_time: 0.0221 memory: 17350 grad_norm: 5.4696 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9532 loss: 1.9532 2022/07/22 11:24:08 - mmengine - INFO - Epoch(train) [15][3740/3757] lr: 1.0000e-02 eta: 2 days, 10:57:59 time: 0.6423 data_time: 0.0232 memory: 17350 grad_norm: 5.3871 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9540 loss: 1.9540 2022/07/22 11:24:17 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 11:24:17 - mmengine - INFO - Epoch(train) [15][3757/3757] lr: 1.0000e-02 eta: 2 days, 10:57:59 time: 0.5037 data_time: 0.0226 memory: 17350 grad_norm: 5.4508 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.0990 loss: 2.0990 2022/07/22 11:24:17 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/07/22 11:24:40 - mmengine - INFO - Epoch(val) [15][20/310] eta: 0:04:05 time: 0.8482 data_time: 0.7356 memory: 3406 2022/07/22 11:24:51 - mmengine - INFO - Epoch(val) [15][40/310] eta: 0:02:29 time: 0.5550 data_time: 0.4439 memory: 3406 2022/07/22 11:25:06 - mmengine - INFO - Epoch(val) [15][60/310] eta: 0:03:07 time: 0.7500 data_time: 0.6360 memory: 3406 2022/07/22 11:25:17 - mmengine - INFO - Epoch(val) [15][80/310] eta: 0:02:05 time: 0.5436 data_time: 0.4297 memory: 3406 2022/07/22 11:25:32 - mmengine - INFO - Epoch(val) [15][100/310] eta: 0:02:39 time: 0.7601 data_time: 0.6472 memory: 3406 2022/07/22 11:25:43 - mmengine - INFO - Epoch(val) [15][120/310] eta: 0:01:46 time: 0.5631 data_time: 0.4490 memory: 3406 2022/07/22 11:25:59 - mmengine - INFO - Epoch(val) [15][140/310] eta: 0:02:07 time: 0.7511 data_time: 0.6348 memory: 3406 2022/07/22 11:26:10 - mmengine - INFO - Epoch(val) [15][160/310] eta: 0:01:27 time: 0.5825 data_time: 0.4682 memory: 3406 2022/07/22 11:26:25 - mmengine - INFO - Epoch(val) [15][180/310] eta: 0:01:34 time: 0.7296 data_time: 0.6171 memory: 3406 2022/07/22 11:26:37 - mmengine - INFO - Epoch(val) [15][200/310] eta: 0:01:04 time: 0.5902 data_time: 0.4784 memory: 3406 2022/07/22 11:26:51 - mmengine - INFO - Epoch(val) [15][220/310] eta: 0:01:06 time: 0.7404 data_time: 0.6273 memory: 3406 2022/07/22 11:27:03 - mmengine - INFO - Epoch(val) [15][240/310] eta: 0:00:39 time: 0.5582 data_time: 0.4466 memory: 3406 2022/07/22 11:27:17 - mmengine - INFO - Epoch(val) [15][260/310] eta: 0:00:36 time: 0.7318 data_time: 0.6193 memory: 3406 2022/07/22 11:27:28 - mmengine - INFO - Epoch(val) [15][280/310] eta: 0:00:16 time: 0.5410 data_time: 0.4294 memory: 3406 2022/07/22 11:27:41 - mmengine - INFO - Epoch(val) [15][300/310] eta: 0:00:06 time: 0.6622 data_time: 0.5460 memory: 3406 2022/07/22 11:27:45 - mmengine - INFO - Epoch(val) [15][310/310] acc/top1: 0.5440 acc/top5: 0.7900 acc/mean1: 0.5440 2022/07/22 11:27:45 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_14.pth is removed 2022/07/22 11:27:48 - mmengine - INFO - The best checkpoint with 0.5440 acc/top1 at 16 epoch is saved to best_acc/top1_epoch_16.pth. 2022/07/22 11:28:04 - mmengine - INFO - Epoch(train) [16][20/3757] lr: 1.0000e-02 eta: 2 days, 10:56:49 time: 0.8272 data_time: 0.4999 memory: 17350 grad_norm: 5.3457 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1425 loss: 2.1425 2022/07/22 11:28:17 - mmengine - INFO - Epoch(train) [16][40/3757] lr: 1.0000e-02 eta: 2 days, 10:56:30 time: 0.6125 data_time: 0.2868 memory: 17350 grad_norm: 5.1460 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2635 loss: 2.2635 2022/07/22 11:28:32 - mmengine - INFO - Epoch(train) [16][60/3757] lr: 1.0000e-02 eta: 2 days, 10:56:27 time: 0.7556 data_time: 0.4286 memory: 17350 grad_norm: 5.4788 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9190 loss: 1.9190 2022/07/22 11:28:43 - mmengine - INFO - Epoch(train) [16][80/3757] lr: 1.0000e-02 eta: 2 days, 10:56:03 time: 0.5779 data_time: 0.2513 memory: 17350 grad_norm: 5.2663 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6558 loss: 1.6558 2022/07/22 11:28:58 - mmengine - INFO - Epoch(train) [16][100/3757] lr: 1.0000e-02 eta: 2 days, 10:55:58 time: 0.7369 data_time: 0.4075 memory: 17350 grad_norm: 5.3438 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1713 loss: 2.1713 2022/07/22 11:29:10 - mmengine - INFO - Epoch(train) [16][120/3757] lr: 1.0000e-02 eta: 2 days, 10:55:38 time: 0.6000 data_time: 0.2718 memory: 17350 grad_norm: 5.2964 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1174 loss: 2.1174 2022/07/22 11:29:24 - mmengine - INFO - Epoch(train) [16][140/3757] lr: 1.0000e-02 eta: 2 days, 10:55:31 time: 0.7210 data_time: 0.3776 memory: 17350 grad_norm: 5.2863 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9239 loss: 1.9239 2022/07/22 11:29:37 - mmengine - INFO - Epoch(train) [16][160/3757] lr: 1.0000e-02 eta: 2 days, 10:55:13 time: 0.6221 data_time: 0.2385 memory: 17350 grad_norm: 5.2589 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8535 loss: 1.8535 2022/07/22 11:29:51 - mmengine - INFO - Epoch(train) [16][180/3757] lr: 1.0000e-02 eta: 2 days, 10:55:07 time: 0.7298 data_time: 0.2814 memory: 17350 grad_norm: 5.2398 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0056 loss: 2.0056 2022/07/22 11:30:05 - mmengine - INFO - Epoch(train) [16][200/3757] lr: 1.0000e-02 eta: 2 days, 10:54:53 time: 0.6590 data_time: 0.1967 memory: 17350 grad_norm: 5.1506 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1369 loss: 2.1369 2022/07/22 11:30:20 - mmengine - INFO - Epoch(train) [16][220/3757] lr: 1.0000e-02 eta: 2 days, 10:54:51 time: 0.7624 data_time: 0.3071 memory: 17350 grad_norm: 5.2795 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1662 loss: 2.1662 2022/07/22 11:30:31 - mmengine - INFO - Epoch(train) [16][240/3757] lr: 1.0000e-02 eta: 2 days, 10:54:27 time: 0.5738 data_time: 0.2025 memory: 17350 grad_norm: 5.3171 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3253 loss: 2.3253 2022/07/22 11:30:45 - mmengine - INFO - Epoch(train) [16][260/3757] lr: 1.0000e-02 eta: 2 days, 10:54:17 time: 0.6937 data_time: 0.2153 memory: 17350 grad_norm: 5.4545 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1452 loss: 2.1452 2022/07/22 11:30:58 - mmengine - INFO - Epoch(train) [16][280/3757] lr: 1.0000e-02 eta: 2 days, 10:53:58 time: 0.6149 data_time: 0.1818 memory: 17350 grad_norm: 5.3788 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1295 loss: 2.1295 2022/07/22 11:31:13 - mmengine - INFO - Epoch(train) [16][300/3757] lr: 1.0000e-02 eta: 2 days, 10:53:57 time: 0.7698 data_time: 0.4216 memory: 17350 grad_norm: 5.3464 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0239 loss: 2.0239 2022/07/22 11:31:25 - mmengine - INFO - Epoch(train) [16][320/3757] lr: 1.0000e-02 eta: 2 days, 10:53:35 time: 0.5860 data_time: 0.2556 memory: 17350 grad_norm: 5.1542 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9042 loss: 1.9042 2022/07/22 11:31:39 - mmengine - INFO - Epoch(train) [16][340/3757] lr: 1.0000e-02 eta: 2 days, 10:53:26 time: 0.7071 data_time: 0.3776 memory: 17350 grad_norm: 5.2218 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3156 loss: 2.3156 2022/07/22 11:31:50 - mmengine - INFO - Epoch(train) [16][360/3757] lr: 1.0000e-02 eta: 2 days, 10:53:00 time: 0.5539 data_time: 0.2094 memory: 17350 grad_norm: 5.3299 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8726 loss: 1.8726 2022/07/22 11:32:04 - mmengine - INFO - Epoch(train) [16][380/3757] lr: 1.0000e-02 eta: 2 days, 10:52:49 time: 0.6822 data_time: 0.2455 memory: 17350 grad_norm: 5.4315 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2144 loss: 2.2144 2022/07/22 11:32:16 - mmengine - INFO - Epoch(train) [16][400/3757] lr: 1.0000e-02 eta: 2 days, 10:52:30 time: 0.6095 data_time: 0.1104 memory: 17350 grad_norm: 5.4210 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1682 loss: 2.1682 2022/07/22 11:32:31 - mmengine - INFO - Epoch(train) [16][420/3757] lr: 1.0000e-02 eta: 2 days, 10:52:25 time: 0.7389 data_time: 0.1496 memory: 17350 grad_norm: 5.5167 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3344 loss: 2.3344 2022/07/22 11:32:43 - mmengine - INFO - Epoch(train) [16][440/3757] lr: 1.0000e-02 eta: 2 days, 10:52:06 time: 0.6158 data_time: 0.1391 memory: 17350 grad_norm: 5.5046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2553 loss: 2.2553 2022/07/22 11:32:58 - mmengine - INFO - Epoch(train) [16][460/3757] lr: 1.0000e-02 eta: 2 days, 10:52:00 time: 0.7346 data_time: 0.1889 memory: 17350 grad_norm: 5.5113 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9523 loss: 1.9523 2022/07/22 11:33:09 - mmengine - INFO - Epoch(train) [16][480/3757] lr: 1.0000e-02 eta: 2 days, 10:51:37 time: 0.5779 data_time: 0.1373 memory: 17350 grad_norm: 5.3939 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1205 loss: 2.1205 2022/07/22 11:33:24 - mmengine - INFO - Epoch(train) [16][500/3757] lr: 1.0000e-02 eta: 2 days, 10:51:33 time: 0.7439 data_time: 0.2021 memory: 17350 grad_norm: 5.3546 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2400 loss: 2.2400 2022/07/22 11:33:37 - mmengine - INFO - Epoch(train) [16][520/3757] lr: 1.0000e-02 eta: 2 days, 10:51:17 time: 0.6393 data_time: 0.2059 memory: 17350 grad_norm: 5.4799 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0439 loss: 2.0439 2022/07/22 11:33:51 - mmengine - INFO - Epoch(train) [16][540/3757] lr: 1.0000e-02 eta: 2 days, 10:51:11 time: 0.7267 data_time: 0.3832 memory: 17350 grad_norm: 5.3618 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9132 loss: 1.9132 2022/07/22 11:34:03 - mmengine - INFO - Epoch(train) [16][560/3757] lr: 1.0000e-02 eta: 2 days, 10:50:49 time: 0.5905 data_time: 0.2584 memory: 17350 grad_norm: 5.3636 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8870 loss: 1.8870 2022/07/22 11:34:17 - mmengine - INFO - Epoch(train) [16][580/3757] lr: 1.0000e-02 eta: 2 days, 10:50:39 time: 0.6896 data_time: 0.3289 memory: 17350 grad_norm: 5.4629 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0475 loss: 2.0475 2022/07/22 11:34:29 - mmengine - INFO - Epoch(train) [16][600/3757] lr: 1.0000e-02 eta: 2 days, 10:50:19 time: 0.6067 data_time: 0.2271 memory: 17350 grad_norm: 5.4637 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1041 loss: 2.1041 2022/07/22 11:34:43 - mmengine - INFO - Epoch(train) [16][620/3757] lr: 1.0000e-02 eta: 2 days, 10:50:11 time: 0.7149 data_time: 0.3079 memory: 17350 grad_norm: 5.3942 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0579 loss: 2.0579 2022/07/22 11:34:56 - mmengine - INFO - Epoch(train) [16][640/3757] lr: 1.0000e-02 eta: 2 days, 10:49:55 time: 0.6400 data_time: 0.1861 memory: 17350 grad_norm: 5.3073 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8575 loss: 1.8575 2022/07/22 11:35:01 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 11:35:11 - mmengine - INFO - Epoch(train) [16][660/3757] lr: 1.0000e-02 eta: 2 days, 10:49:51 time: 0.7440 data_time: 0.2811 memory: 17350 grad_norm: 5.4035 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7801 loss: 1.7801 2022/07/22 11:35:23 - mmengine - INFO - Epoch(train) [16][680/3757] lr: 1.0000e-02 eta: 2 days, 10:49:28 time: 0.5824 data_time: 0.2059 memory: 17350 grad_norm: 5.3734 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2459 loss: 2.2459 2022/07/22 11:35:36 - mmengine - INFO - Epoch(train) [16][700/3757] lr: 1.0000e-02 eta: 2 days, 10:49:16 time: 0.6730 data_time: 0.0748 memory: 17350 grad_norm: 5.4399 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1313 loss: 2.1313 2022/07/22 11:35:48 - mmengine - INFO - Epoch(train) [16][720/3757] lr: 1.0000e-02 eta: 2 days, 10:48:55 time: 0.5927 data_time: 0.0249 memory: 17350 grad_norm: 5.6241 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9759 loss: 1.9759 2022/07/22 11:36:03 - mmengine - INFO - Epoch(train) [16][740/3757] lr: 1.0000e-02 eta: 2 days, 10:48:51 time: 0.7477 data_time: 0.0226 memory: 17350 grad_norm: 5.5876 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0953 loss: 2.0953 2022/07/22 11:36:15 - mmengine - INFO - Epoch(train) [16][760/3757] lr: 1.0000e-02 eta: 2 days, 10:48:29 time: 0.5937 data_time: 0.0217 memory: 17350 grad_norm: 5.3239 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7577 loss: 1.7577 2022/07/22 11:36:30 - mmengine - INFO - Epoch(train) [16][780/3757] lr: 1.0000e-02 eta: 2 days, 10:48:24 time: 0.7316 data_time: 0.0136 memory: 17350 grad_norm: 5.4273 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2836 loss: 2.2836 2022/07/22 11:36:42 - mmengine - INFO - Epoch(train) [16][800/3757] lr: 1.0000e-02 eta: 2 days, 10:48:08 time: 0.6458 data_time: 0.0208 memory: 17350 grad_norm: 5.5304 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0836 loss: 2.0836 2022/07/22 11:36:56 - mmengine - INFO - Epoch(train) [16][820/3757] lr: 1.0000e-02 eta: 2 days, 10:47:57 time: 0.6861 data_time: 0.0272 memory: 17350 grad_norm: 5.4028 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1683 loss: 2.1683 2022/07/22 11:37:08 - mmengine - INFO - Epoch(train) [16][840/3757] lr: 1.0000e-02 eta: 2 days, 10:47:34 time: 0.5796 data_time: 0.0243 memory: 17350 grad_norm: 5.4291 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1755 loss: 2.1755 2022/07/22 11:37:23 - mmengine - INFO - Epoch(train) [16][860/3757] lr: 1.0000e-02 eta: 2 days, 10:47:30 time: 0.7428 data_time: 0.0225 memory: 17350 grad_norm: 5.5239 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0405 loss: 2.0405 2022/07/22 11:37:35 - mmengine - INFO - Epoch(train) [16][880/3757] lr: 1.0000e-02 eta: 2 days, 10:47:09 time: 0.5989 data_time: 0.0226 memory: 17350 grad_norm: 5.4065 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1473 loss: 2.1473 2022/07/22 11:37:50 - mmengine - INFO - Epoch(train) [16][900/3757] lr: 1.0000e-02 eta: 2 days, 10:47:07 time: 0.7665 data_time: 0.0211 memory: 17350 grad_norm: 5.3796 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8833 loss: 1.8833 2022/07/22 11:38:02 - mmengine - INFO - Epoch(train) [16][920/3757] lr: 1.0000e-02 eta: 2 days, 10:46:44 time: 0.5771 data_time: 0.0218 memory: 17350 grad_norm: 5.2920 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2658 loss: 2.2658 2022/07/22 11:38:15 - mmengine - INFO - Epoch(train) [16][940/3757] lr: 1.0000e-02 eta: 2 days, 10:46:34 time: 0.6944 data_time: 0.0252 memory: 17350 grad_norm: 5.3250 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1269 loss: 2.1269 2022/07/22 11:38:27 - mmengine - INFO - Epoch(train) [16][960/3757] lr: 1.0000e-02 eta: 2 days, 10:46:14 time: 0.5964 data_time: 0.0217 memory: 17350 grad_norm: 5.2421 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8606 loss: 1.8606 2022/07/22 11:38:42 - mmengine - INFO - Epoch(train) [16][980/3757] lr: 1.0000e-02 eta: 2 days, 10:46:10 time: 0.7513 data_time: 0.0237 memory: 17350 grad_norm: 5.3676 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5096 loss: 2.5096 2022/07/22 11:38:54 - mmengine - INFO - Epoch(train) [16][1000/3757] lr: 1.0000e-02 eta: 2 days, 10:45:46 time: 0.5711 data_time: 0.0228 memory: 17350 grad_norm: 5.4280 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9445 loss: 1.9445 2022/07/22 11:39:08 - mmengine - INFO - Epoch(train) [16][1020/3757] lr: 1.0000e-02 eta: 2 days, 10:45:39 time: 0.7199 data_time: 0.0212 memory: 17350 grad_norm: 5.4361 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8714 loss: 1.8714 2022/07/22 11:39:21 - mmengine - INFO - Epoch(train) [16][1040/3757] lr: 1.0000e-02 eta: 2 days, 10:45:21 time: 0.6255 data_time: 0.0229 memory: 17350 grad_norm: 5.2754 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1719 loss: 2.1719 2022/07/22 11:39:34 - mmengine - INFO - Epoch(train) [16][1060/3757] lr: 1.0000e-02 eta: 2 days, 10:45:10 time: 0.6848 data_time: 0.0217 memory: 17350 grad_norm: 5.3922 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1006 loss: 2.1006 2022/07/22 11:39:48 - mmengine - INFO - Epoch(train) [16][1080/3757] lr: 1.0000e-02 eta: 2 days, 10:44:57 time: 0.6611 data_time: 0.0234 memory: 17350 grad_norm: 5.2469 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0095 loss: 2.0095 2022/07/22 11:40:01 - mmengine - INFO - Epoch(train) [16][1100/3757] lr: 1.0000e-02 eta: 2 days, 10:44:42 time: 0.6518 data_time: 0.0241 memory: 17350 grad_norm: 5.3322 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3928 loss: 2.3928 2022/07/22 11:40:14 - mmengine - INFO - Epoch(train) [16][1120/3757] lr: 1.0000e-02 eta: 2 days, 10:44:28 time: 0.6604 data_time: 0.0228 memory: 17350 grad_norm: 5.4694 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8787 loss: 1.8787 2022/07/22 11:40:29 - mmengine - INFO - Epoch(train) [16][1140/3757] lr: 1.0000e-02 eta: 2 days, 10:44:22 time: 0.7316 data_time: 0.0235 memory: 17350 grad_norm: 5.2960 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3173 loss: 2.3173 2022/07/22 11:40:41 - mmengine - INFO - Epoch(train) [16][1160/3757] lr: 1.0000e-02 eta: 2 days, 10:44:04 time: 0.6159 data_time: 0.0236 memory: 17350 grad_norm: 5.2494 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8271 loss: 1.8271 2022/07/22 11:40:54 - mmengine - INFO - Epoch(train) [16][1180/3757] lr: 1.0000e-02 eta: 2 days, 10:43:52 time: 0.6804 data_time: 0.0221 memory: 17350 grad_norm: 5.4240 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8514 loss: 1.8514 2022/07/22 11:41:07 - mmengine - INFO - Epoch(train) [16][1200/3757] lr: 1.0000e-02 eta: 2 days, 10:43:34 time: 0.6158 data_time: 0.0233 memory: 17350 grad_norm: 5.2553 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8976 loss: 1.8976 2022/07/22 11:41:22 - mmengine - INFO - Epoch(train) [16][1220/3757] lr: 1.0000e-02 eta: 2 days, 10:43:28 time: 0.7371 data_time: 0.0218 memory: 17350 grad_norm: 5.5513 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1478 loss: 2.1478 2022/07/22 11:41:33 - mmengine - INFO - Epoch(train) [16][1240/3757] lr: 1.0000e-02 eta: 2 days, 10:43:06 time: 0.5834 data_time: 0.0242 memory: 17350 grad_norm: 5.4613 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7240 loss: 1.7240 2022/07/22 11:41:48 - mmengine - INFO - Epoch(train) [16][1260/3757] lr: 1.0000e-02 eta: 2 days, 10:43:00 time: 0.7330 data_time: 0.0215 memory: 17350 grad_norm: 5.2234 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8003 loss: 1.8003 2022/07/22 11:42:01 - mmengine - INFO - Epoch(train) [16][1280/3757] lr: 1.0000e-02 eta: 2 days, 10:42:43 time: 0.6327 data_time: 0.0235 memory: 17350 grad_norm: 5.4112 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0859 loss: 2.0859 2022/07/22 11:42:15 - mmengine - INFO - Epoch(train) [16][1300/3757] lr: 1.0000e-02 eta: 2 days, 10:42:38 time: 0.7325 data_time: 0.0240 memory: 17350 grad_norm: 5.3387 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1545 loss: 2.1545 2022/07/22 11:42:27 - mmengine - INFO - Epoch(train) [16][1320/3757] lr: 1.0000e-02 eta: 2 days, 10:42:19 time: 0.6155 data_time: 0.0237 memory: 17350 grad_norm: 5.3013 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1538 loss: 2.1538 2022/07/22 11:42:43 - mmengine - INFO - Epoch(train) [16][1340/3757] lr: 1.0000e-02 eta: 2 days, 10:42:17 time: 0.7676 data_time: 0.0221 memory: 17350 grad_norm: 5.3266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8095 loss: 1.8095 2022/07/22 11:42:54 - mmengine - INFO - Epoch(train) [16][1360/3757] lr: 1.0000e-02 eta: 2 days, 10:41:53 time: 0.5707 data_time: 0.0260 memory: 17350 grad_norm: 5.3708 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9413 loss: 1.9413 2022/07/22 11:43:09 - mmengine - INFO - Epoch(train) [16][1380/3757] lr: 1.0000e-02 eta: 2 days, 10:41:49 time: 0.7442 data_time: 0.0218 memory: 17350 grad_norm: 5.3186 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6505 loss: 1.6505 2022/07/22 11:43:22 - mmengine - INFO - Epoch(train) [16][1400/3757] lr: 1.0000e-02 eta: 2 days, 10:41:30 time: 0.6183 data_time: 0.0264 memory: 17350 grad_norm: 5.2170 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6768 loss: 1.6768 2022/07/22 11:43:36 - mmengine - INFO - Epoch(train) [16][1420/3757] lr: 1.0000e-02 eta: 2 days, 10:41:24 time: 0.7220 data_time: 0.0234 memory: 17350 grad_norm: 5.6161 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1804 loss: 2.1804 2022/07/22 11:43:48 - mmengine - INFO - Epoch(train) [16][1440/3757] lr: 1.0000e-02 eta: 2 days, 10:41:04 time: 0.6085 data_time: 0.0231 memory: 17350 grad_norm: 5.2105 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0552 loss: 2.0552 2022/07/22 11:44:03 - mmengine - INFO - Epoch(train) [16][1460/3757] lr: 1.0000e-02 eta: 2 days, 10:40:59 time: 0.7388 data_time: 0.0234 memory: 17350 grad_norm: 5.2378 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1130 loss: 2.1130 2022/07/22 11:44:14 - mmengine - INFO - Epoch(train) [16][1480/3757] lr: 1.0000e-02 eta: 2 days, 10:40:34 time: 0.5546 data_time: 0.0250 memory: 17350 grad_norm: 5.3795 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1654 loss: 2.1654 2022/07/22 11:44:29 - mmengine - INFO - Epoch(train) [16][1500/3757] lr: 1.0000e-02 eta: 2 days, 10:40:31 time: 0.7592 data_time: 0.0214 memory: 17350 grad_norm: 5.3403 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2832 loss: 2.2832 2022/07/22 11:44:41 - mmengine - INFO - Epoch(train) [16][1520/3757] lr: 1.0000e-02 eta: 2 days, 10:40:10 time: 0.5964 data_time: 0.0243 memory: 17350 grad_norm: 5.4089 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1709 loss: 2.1709 2022/07/22 11:44:56 - mmengine - INFO - Epoch(train) [16][1540/3757] lr: 1.0000e-02 eta: 2 days, 10:40:07 time: 0.7588 data_time: 0.0231 memory: 17350 grad_norm: 5.4220 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1085 loss: 2.1085 2022/07/22 11:45:07 - mmengine - INFO - Epoch(train) [16][1560/3757] lr: 1.0000e-02 eta: 2 days, 10:39:42 time: 0.5554 data_time: 0.0216 memory: 17350 grad_norm: 5.3852 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0849 loss: 2.0849 2022/07/22 11:45:22 - mmengine - INFO - Epoch(train) [16][1580/3757] lr: 1.0000e-02 eta: 2 days, 10:39:37 time: 0.7434 data_time: 0.0219 memory: 17350 grad_norm: 5.5282 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1663 loss: 2.1663 2022/07/22 11:45:34 - mmengine - INFO - Epoch(train) [16][1600/3757] lr: 1.0000e-02 eta: 2 days, 10:39:15 time: 0.5827 data_time: 0.0235 memory: 17350 grad_norm: 5.5772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9961 loss: 1.9961 2022/07/22 11:45:48 - mmengine - INFO - Epoch(train) [16][1620/3757] lr: 1.0000e-02 eta: 2 days, 10:39:06 time: 0.7093 data_time: 0.0212 memory: 17350 grad_norm: 5.3010 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9708 loss: 1.9708 2022/07/22 11:46:00 - mmengine - INFO - Epoch(train) [16][1640/3757] lr: 1.0000e-02 eta: 2 days, 10:38:43 time: 0.5690 data_time: 0.0237 memory: 17350 grad_norm: 5.5170 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1325 loss: 2.1325 2022/07/22 11:46:04 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 11:46:14 - mmengine - INFO - Epoch(train) [16][1660/3757] lr: 1.0000e-02 eta: 2 days, 10:38:36 time: 0.7268 data_time: 0.0215 memory: 17350 grad_norm: 5.5878 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9177 loss: 1.9177 2022/07/22 11:46:26 - mmengine - INFO - Epoch(train) [16][1680/3757] lr: 1.0000e-02 eta: 2 days, 10:38:18 time: 0.6212 data_time: 0.0228 memory: 17350 grad_norm: 5.2944 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9747 loss: 1.9747 2022/07/22 11:46:41 - mmengine - INFO - Epoch(train) [16][1700/3757] lr: 1.0000e-02 eta: 2 days, 10:38:12 time: 0.7268 data_time: 0.0218 memory: 17350 grad_norm: 5.3714 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0385 loss: 2.0385 2022/07/22 11:46:54 - mmengine - INFO - Epoch(train) [16][1720/3757] lr: 1.0000e-02 eta: 2 days, 10:37:55 time: 0.6345 data_time: 0.0237 memory: 17350 grad_norm: 5.3828 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8618 loss: 1.8618 2022/07/22 11:47:08 - mmengine - INFO - Epoch(train) [16][1740/3757] lr: 1.0000e-02 eta: 2 days, 10:37:46 time: 0.7048 data_time: 0.0230 memory: 17350 grad_norm: 5.6212 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0487 loss: 2.0487 2022/07/22 11:47:20 - mmengine - INFO - Epoch(train) [16][1760/3757] lr: 1.0000e-02 eta: 2 days, 10:37:26 time: 0.6036 data_time: 0.0225 memory: 17350 grad_norm: 5.3628 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1688 loss: 2.1688 2022/07/22 11:47:35 - mmengine - INFO - Epoch(train) [16][1780/3757] lr: 1.0000e-02 eta: 2 days, 10:37:23 time: 0.7560 data_time: 0.0222 memory: 17350 grad_norm: 5.4241 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0588 loss: 2.0588 2022/07/22 11:47:46 - mmengine - INFO - Epoch(train) [16][1800/3757] lr: 1.0000e-02 eta: 2 days, 10:36:58 time: 0.5614 data_time: 0.0228 memory: 17350 grad_norm: 5.5680 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1559 loss: 2.1559 2022/07/22 11:48:01 - mmengine - INFO - Epoch(train) [16][1820/3757] lr: 1.0000e-02 eta: 2 days, 10:36:54 time: 0.7439 data_time: 0.0237 memory: 17350 grad_norm: 5.2836 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9489 loss: 1.9489 2022/07/22 11:48:13 - mmengine - INFO - Epoch(train) [16][1840/3757] lr: 1.0000e-02 eta: 2 days, 10:36:32 time: 0.5908 data_time: 0.0247 memory: 17350 grad_norm: 5.5046 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8850 loss: 1.8850 2022/07/22 11:48:28 - mmengine - INFO - Epoch(train) [16][1860/3757] lr: 1.0000e-02 eta: 2 days, 10:36:30 time: 0.7639 data_time: 0.0496 memory: 17350 grad_norm: 5.4455 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2928 loss: 2.2928 2022/07/22 11:48:40 - mmengine - INFO - Epoch(train) [16][1880/3757] lr: 1.0000e-02 eta: 2 days, 10:36:08 time: 0.5860 data_time: 0.0237 memory: 17350 grad_norm: 5.2482 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8170 loss: 1.8170 2022/07/22 11:48:55 - mmengine - INFO - Epoch(train) [16][1900/3757] lr: 1.0000e-02 eta: 2 days, 10:36:03 time: 0.7403 data_time: 0.0215 memory: 17350 grad_norm: 5.3085 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9890 loss: 1.9890 2022/07/22 11:49:07 - mmengine - INFO - Epoch(train) [16][1920/3757] lr: 1.0000e-02 eta: 2 days, 10:35:43 time: 0.6062 data_time: 0.0224 memory: 17350 grad_norm: 5.3291 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9805 loss: 1.9805 2022/07/22 11:49:21 - mmengine - INFO - Epoch(train) [16][1940/3757] lr: 1.0000e-02 eta: 2 days, 10:35:36 time: 0.7148 data_time: 0.0213 memory: 17350 grad_norm: 5.6005 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2111 loss: 2.2111 2022/07/22 11:49:33 - mmengine - INFO - Epoch(train) [16][1960/3757] lr: 1.0000e-02 eta: 2 days, 10:35:16 time: 0.6033 data_time: 0.0243 memory: 17350 grad_norm: 5.3441 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2608 loss: 2.2608 2022/07/22 11:49:48 - mmengine - INFO - Epoch(train) [16][1980/3757] lr: 1.0000e-02 eta: 2 days, 10:35:09 time: 0.7243 data_time: 0.0223 memory: 17350 grad_norm: 5.2420 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9245 loss: 1.9245 2022/07/22 11:50:01 - mmengine - INFO - Epoch(train) [16][2000/3757] lr: 1.0000e-02 eta: 2 days, 10:34:55 time: 0.6592 data_time: 0.0219 memory: 17350 grad_norm: 5.3200 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7875 loss: 1.7875 2022/07/22 11:50:15 - mmengine - INFO - Epoch(train) [16][2020/3757] lr: 1.0000e-02 eta: 2 days, 10:34:43 time: 0.6774 data_time: 0.0262 memory: 17350 grad_norm: 5.5530 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2371 loss: 2.2371 2022/07/22 11:50:27 - mmengine - INFO - Epoch(train) [16][2040/3757] lr: 1.0000e-02 eta: 2 days, 10:34:23 time: 0.6067 data_time: 0.0403 memory: 17350 grad_norm: 5.5164 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2943 loss: 2.2943 2022/07/22 11:50:42 - mmengine - INFO - Epoch(train) [16][2060/3757] lr: 1.0000e-02 eta: 2 days, 10:34:19 time: 0.7482 data_time: 0.0222 memory: 17350 grad_norm: 5.5611 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0406 loss: 2.0406 2022/07/22 11:50:53 - mmengine - INFO - Epoch(train) [16][2080/3757] lr: 1.0000e-02 eta: 2 days, 10:33:55 time: 0.5677 data_time: 0.0223 memory: 17350 grad_norm: 5.5551 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0025 loss: 2.0025 2022/07/22 11:51:07 - mmengine - INFO - Epoch(train) [16][2100/3757] lr: 1.0000e-02 eta: 2 days, 10:33:46 time: 0.7026 data_time: 0.0205 memory: 17350 grad_norm: 5.5327 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2386 loss: 2.2386 2022/07/22 11:51:19 - mmengine - INFO - Epoch(train) [16][2120/3757] lr: 1.0000e-02 eta: 2 days, 10:33:27 time: 0.6057 data_time: 0.0238 memory: 17350 grad_norm: 5.3652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2769 loss: 2.2769 2022/07/22 11:51:34 - mmengine - INFO - Epoch(train) [16][2140/3757] lr: 1.0000e-02 eta: 2 days, 10:33:20 time: 0.7245 data_time: 0.0207 memory: 17350 grad_norm: 5.3271 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9301 loss: 1.9301 2022/07/22 11:51:46 - mmengine - INFO - Epoch(train) [16][2160/3757] lr: 1.0000e-02 eta: 2 days, 10:33:01 time: 0.6177 data_time: 0.0223 memory: 17350 grad_norm: 5.6213 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.2255 loss: 2.2255 2022/07/22 11:51:59 - mmengine - INFO - Epoch(train) [16][2180/3757] lr: 1.0000e-02 eta: 2 days, 10:32:49 time: 0.6722 data_time: 0.0239 memory: 17350 grad_norm: 5.7932 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2111 loss: 2.2111 2022/07/22 11:52:12 - mmengine - INFO - Epoch(train) [16][2200/3757] lr: 1.0000e-02 eta: 2 days, 10:32:33 time: 0.6419 data_time: 0.0222 memory: 17350 grad_norm: 5.4139 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0714 loss: 2.0714 2022/07/22 11:52:25 - mmengine - INFO - Epoch(train) [16][2220/3757] lr: 1.0000e-02 eta: 2 days, 10:32:15 time: 0.6219 data_time: 0.0219 memory: 17350 grad_norm: 5.2545 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8987 loss: 1.8987 2022/07/22 11:52:40 - mmengine - INFO - Epoch(train) [16][2240/3757] lr: 1.0000e-02 eta: 2 days, 10:32:10 time: 0.7392 data_time: 0.0230 memory: 17350 grad_norm: 5.5025 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3506 loss: 2.3506 2022/07/22 11:52:52 - mmengine - INFO - Epoch(train) [16][2260/3757] lr: 1.0000e-02 eta: 2 days, 10:31:53 time: 0.6270 data_time: 0.0236 memory: 17350 grad_norm: 5.4213 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9200 loss: 1.9200 2022/07/22 11:53:04 - mmengine - INFO - Epoch(train) [16][2280/3757] lr: 1.0000e-02 eta: 2 days, 10:31:32 time: 0.5952 data_time: 0.0233 memory: 17350 grad_norm: 5.4193 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.7712 loss: 1.7712 2022/07/22 11:53:18 - mmengine - INFO - Epoch(train) [16][2300/3757] lr: 1.0000e-02 eta: 2 days, 10:31:25 time: 0.7225 data_time: 0.0214 memory: 17350 grad_norm: 5.3424 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8057 loss: 1.8057 2022/07/22 11:53:31 - mmengine - INFO - Epoch(train) [16][2320/3757] lr: 1.0000e-02 eta: 2 days, 10:31:09 time: 0.6426 data_time: 0.0223 memory: 17350 grad_norm: 5.5871 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9970 loss: 1.9970 2022/07/22 11:53:45 - mmengine - INFO - Epoch(train) [16][2340/3757] lr: 1.0000e-02 eta: 2 days, 10:31:01 time: 0.7068 data_time: 0.0225 memory: 17350 grad_norm: 5.2638 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9405 loss: 1.9405 2022/07/22 11:53:58 - mmengine - INFO - Epoch(train) [16][2360/3757] lr: 1.0000e-02 eta: 2 days, 10:30:43 time: 0.6242 data_time: 0.0214 memory: 17350 grad_norm: 5.2135 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9048 loss: 1.9048 2022/07/22 11:54:12 - mmengine - INFO - Epoch(train) [16][2380/3757] lr: 1.0000e-02 eta: 2 days, 10:30:33 time: 0.6971 data_time: 0.0218 memory: 17350 grad_norm: 5.4928 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1696 loss: 2.1696 2022/07/22 11:54:24 - mmengine - INFO - Epoch(train) [16][2400/3757] lr: 1.0000e-02 eta: 2 days, 10:30:14 time: 0.6100 data_time: 0.0249 memory: 17350 grad_norm: 5.3395 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9320 loss: 1.9320 2022/07/22 11:54:38 - mmengine - INFO - Epoch(train) [16][2420/3757] lr: 1.0000e-02 eta: 2 days, 10:30:06 time: 0.7176 data_time: 0.0313 memory: 17350 grad_norm: 5.3971 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1927 loss: 2.1927 2022/07/22 11:54:51 - mmengine - INFO - Epoch(train) [16][2440/3757] lr: 1.0000e-02 eta: 2 days, 10:29:50 time: 0.6374 data_time: 0.0228 memory: 17350 grad_norm: 5.3351 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0841 loss: 2.0841 2022/07/22 11:55:05 - mmengine - INFO - Epoch(train) [16][2460/3757] lr: 1.0000e-02 eta: 2 days, 10:29:40 time: 0.6904 data_time: 0.0417 memory: 17350 grad_norm: 5.2341 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0824 loss: 2.0824 2022/07/22 11:55:18 - mmengine - INFO - Epoch(train) [16][2480/3757] lr: 1.0000e-02 eta: 2 days, 10:29:26 time: 0.6599 data_time: 0.0273 memory: 17350 grad_norm: 5.2884 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0977 loss: 2.0977 2022/07/22 11:55:32 - mmengine - INFO - Epoch(train) [16][2500/3757] lr: 1.0000e-02 eta: 2 days, 10:29:18 time: 0.7118 data_time: 0.0923 memory: 17350 grad_norm: 5.4316 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8029 loss: 1.8029 2022/07/22 11:55:45 - mmengine - INFO - Epoch(train) [16][2520/3757] lr: 1.0000e-02 eta: 2 days, 10:29:00 time: 0.6279 data_time: 0.0966 memory: 17350 grad_norm: 5.1860 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1021 loss: 2.1021 2022/07/22 11:55:59 - mmengine - INFO - Epoch(train) [16][2540/3757] lr: 1.0000e-02 eta: 2 days, 10:28:51 time: 0.7019 data_time: 0.0380 memory: 17350 grad_norm: 5.3714 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0631 loss: 2.0631 2022/07/22 11:56:12 - mmengine - INFO - Epoch(train) [16][2560/3757] lr: 1.0000e-02 eta: 2 days, 10:28:37 time: 0.6556 data_time: 0.0576 memory: 17350 grad_norm: 5.3395 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8679 loss: 1.8679 2022/07/22 11:56:25 - mmengine - INFO - Epoch(train) [16][2580/3757] lr: 1.0000e-02 eta: 2 days, 10:28:19 time: 0.6181 data_time: 0.0923 memory: 17350 grad_norm: 5.5897 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2039 loss: 2.2039 2022/07/22 11:56:38 - mmengine - INFO - Epoch(train) [16][2600/3757] lr: 1.0000e-02 eta: 2 days, 10:28:07 time: 0.6786 data_time: 0.1079 memory: 17350 grad_norm: 5.3468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1040 loss: 2.1040 2022/07/22 11:56:52 - mmengine - INFO - Epoch(train) [16][2620/3757] lr: 1.0000e-02 eta: 2 days, 10:27:55 time: 0.6768 data_time: 0.1883 memory: 17350 grad_norm: 5.4166 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3839 loss: 2.3839 2022/07/22 11:57:03 - mmengine - INFO - Epoch(train) [16][2640/3757] lr: 1.0000e-02 eta: 2 days, 10:27:34 time: 0.5920 data_time: 0.2184 memory: 17350 grad_norm: 5.4547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1689 loss: 2.1689 2022/07/22 11:57:08 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 11:57:19 - mmengine - INFO - Epoch(train) [16][2660/3757] lr: 1.0000e-02 eta: 2 days, 10:27:31 time: 0.7577 data_time: 0.3287 memory: 17350 grad_norm: 5.4581 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4125 loss: 2.4125 2022/07/22 11:57:31 - mmengine - INFO - Epoch(train) [16][2680/3757] lr: 1.0000e-02 eta: 2 days, 10:27:10 time: 0.5991 data_time: 0.1711 memory: 17350 grad_norm: 5.2837 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2102 loss: 2.2102 2022/07/22 11:57:45 - mmengine - INFO - Epoch(train) [16][2700/3757] lr: 1.0000e-02 eta: 2 days, 10:27:01 time: 0.7059 data_time: 0.2354 memory: 17350 grad_norm: 5.4365 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4434 loss: 2.4434 2022/07/22 11:57:57 - mmengine - INFO - Epoch(train) [16][2720/3757] lr: 1.0000e-02 eta: 2 days, 10:26:45 time: 0.6329 data_time: 0.1383 memory: 17350 grad_norm: 5.5956 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.1952 loss: 2.1952 2022/07/22 11:58:11 - mmengine - INFO - Epoch(train) [16][2740/3757] lr: 1.0000e-02 eta: 2 days, 10:26:33 time: 0.6827 data_time: 0.2383 memory: 17350 grad_norm: 5.3200 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2122 loss: 2.2122 2022/07/22 11:58:24 - mmengine - INFO - Epoch(train) [16][2760/3757] lr: 1.0000e-02 eta: 2 days, 10:26:15 time: 0.6217 data_time: 0.1457 memory: 17350 grad_norm: 5.3334 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0426 loss: 2.0426 2022/07/22 11:58:38 - mmengine - INFO - Epoch(train) [16][2780/3757] lr: 1.0000e-02 eta: 2 days, 10:26:07 time: 0.7124 data_time: 0.3096 memory: 17350 grad_norm: 5.4772 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9804 loss: 1.9804 2022/07/22 11:58:51 - mmengine - INFO - Epoch(train) [16][2800/3757] lr: 1.0000e-02 eta: 2 days, 10:25:54 time: 0.6621 data_time: 0.2081 memory: 17350 grad_norm: 5.4336 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0948 loss: 2.0948 2022/07/22 11:59:05 - mmengine - INFO - Epoch(train) [16][2820/3757] lr: 1.0000e-02 eta: 2 days, 10:25:42 time: 0.6780 data_time: 0.2785 memory: 17350 grad_norm: 5.2132 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9073 loss: 1.9073 2022/07/22 11:59:17 - mmengine - INFO - Epoch(train) [16][2840/3757] lr: 1.0000e-02 eta: 2 days, 10:25:25 time: 0.6324 data_time: 0.2064 memory: 17350 grad_norm: 5.3770 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0759 loss: 2.0759 2022/07/22 11:59:31 - mmengine - INFO - Epoch(train) [16][2860/3757] lr: 1.0000e-02 eta: 2 days, 10:25:12 time: 0.6700 data_time: 0.2176 memory: 17350 grad_norm: 5.3708 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2144 loss: 2.2144 2022/07/22 11:59:44 - mmengine - INFO - Epoch(train) [16][2880/3757] lr: 1.0000e-02 eta: 2 days, 10:24:59 time: 0.6631 data_time: 0.1381 memory: 17350 grad_norm: 5.2257 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9013 loss: 1.9013 2022/07/22 11:59:57 - mmengine - INFO - Epoch(train) [16][2900/3757] lr: 1.0000e-02 eta: 2 days, 10:24:43 time: 0.6404 data_time: 0.0993 memory: 17350 grad_norm: 5.1987 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9098 loss: 1.9098 2022/07/22 12:00:11 - mmengine - INFO - Epoch(train) [16][2920/3757] lr: 1.0000e-02 eta: 2 days, 10:24:35 time: 0.7130 data_time: 0.0566 memory: 17350 grad_norm: 5.3422 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0170 loss: 2.0170 2022/07/22 12:00:24 - mmengine - INFO - Epoch(train) [16][2940/3757] lr: 1.0000e-02 eta: 2 days, 10:24:19 time: 0.6377 data_time: 0.0696 memory: 17350 grad_norm: 5.4664 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4403 loss: 2.4403 2022/07/22 12:00:37 - mmengine - INFO - Epoch(train) [16][2960/3757] lr: 1.0000e-02 eta: 2 days, 10:24:06 time: 0.6697 data_time: 0.1048 memory: 17350 grad_norm: 5.4935 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8624 loss: 1.8624 2022/07/22 12:00:51 - mmengine - INFO - Epoch(train) [16][2980/3757] lr: 1.0000e-02 eta: 2 days, 10:23:54 time: 0.6758 data_time: 0.2418 memory: 17350 grad_norm: 5.2413 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0879 loss: 2.0879 2022/07/22 12:01:05 - mmengine - INFO - Epoch(train) [16][3000/3757] lr: 1.0000e-02 eta: 2 days, 10:23:44 time: 0.6953 data_time: 0.2450 memory: 17350 grad_norm: 5.4253 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1933 loss: 2.1933 2022/07/22 12:01:18 - mmengine - INFO - Epoch(train) [16][3020/3757] lr: 1.0000e-02 eta: 2 days, 10:23:30 time: 0.6572 data_time: 0.0705 memory: 17350 grad_norm: 5.2699 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1338 loss: 2.1338 2022/07/22 12:01:31 - mmengine - INFO - Epoch(train) [16][3040/3757] lr: 1.0000e-02 eta: 2 days, 10:23:18 time: 0.6745 data_time: 0.0336 memory: 17350 grad_norm: 5.3055 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9351 loss: 1.9351 2022/07/22 12:01:44 - mmengine - INFO - Epoch(train) [16][3060/3757] lr: 1.0000e-02 eta: 2 days, 10:23:00 time: 0.6260 data_time: 0.0225 memory: 17350 grad_norm: 5.3637 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0105 loss: 2.0105 2022/07/22 12:01:57 - mmengine - INFO - Epoch(train) [16][3080/3757] lr: 1.0000e-02 eta: 2 days, 10:22:46 time: 0.6589 data_time: 0.0151 memory: 17350 grad_norm: 5.5241 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1805 loss: 2.1805 2022/07/22 12:02:10 - mmengine - INFO - Epoch(train) [16][3100/3757] lr: 1.0000e-02 eta: 2 days, 10:22:32 time: 0.6562 data_time: 0.0814 memory: 17350 grad_norm: 5.4797 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2700 loss: 2.2700 2022/07/22 12:02:24 - mmengine - INFO - Epoch(train) [16][3120/3757] lr: 1.0000e-02 eta: 2 days, 10:22:25 time: 0.7212 data_time: 0.1732 memory: 17350 grad_norm: 5.3134 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3396 loss: 2.3396 2022/07/22 12:02:37 - mmengine - INFO - Epoch(train) [16][3140/3757] lr: 1.0000e-02 eta: 2 days, 10:22:07 time: 0.6163 data_time: 0.1365 memory: 17350 grad_norm: 5.4024 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2304 loss: 2.2304 2022/07/22 12:02:50 - mmengine - INFO - Epoch(train) [16][3160/3757] lr: 1.0000e-02 eta: 2 days, 10:21:54 time: 0.6724 data_time: 0.1272 memory: 17350 grad_norm: 5.3145 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2171 loss: 2.2171 2022/07/22 12:03:03 - mmengine - INFO - Epoch(train) [16][3180/3757] lr: 1.0000e-02 eta: 2 days, 10:21:39 time: 0.6513 data_time: 0.0613 memory: 17350 grad_norm: 5.3931 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0466 loss: 2.0466 2022/07/22 12:03:17 - mmengine - INFO - Epoch(train) [16][3200/3757] lr: 1.0000e-02 eta: 2 days, 10:21:29 time: 0.6910 data_time: 0.0249 memory: 17350 grad_norm: 5.4123 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1587 loss: 2.1587 2022/07/22 12:03:30 - mmengine - INFO - Epoch(train) [16][3220/3757] lr: 1.0000e-02 eta: 2 days, 10:21:11 time: 0.6225 data_time: 0.0344 memory: 17350 grad_norm: 5.4310 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3581 loss: 2.3581 2022/07/22 12:03:44 - mmengine - INFO - Epoch(train) [16][3240/3757] lr: 1.0000e-02 eta: 2 days, 10:21:03 time: 0.7134 data_time: 0.0693 memory: 17350 grad_norm: 5.2410 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9036 loss: 1.9036 2022/07/22 12:03:57 - mmengine - INFO - Epoch(train) [16][3260/3757] lr: 1.0000e-02 eta: 2 days, 10:20:48 time: 0.6467 data_time: 0.0228 memory: 17350 grad_norm: 5.3121 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7149 loss: 1.7149 2022/07/22 12:04:10 - mmengine - INFO - Epoch(train) [16][3280/3757] lr: 1.0000e-02 eta: 2 days, 10:20:37 time: 0.6841 data_time: 0.0203 memory: 17350 grad_norm: 5.2251 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0697 loss: 2.0697 2022/07/22 12:04:23 - mmengine - INFO - Epoch(train) [16][3300/3757] lr: 1.0000e-02 eta: 2 days, 10:20:19 time: 0.6269 data_time: 0.0240 memory: 17350 grad_norm: 5.5979 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6128 loss: 2.6128 2022/07/22 12:04:37 - mmengine - INFO - Epoch(train) [16][3320/3757] lr: 1.0000e-02 eta: 2 days, 10:20:08 time: 0.6854 data_time: 0.0218 memory: 17350 grad_norm: 5.3870 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9808 loss: 1.9808 2022/07/22 12:04:50 - mmengine - INFO - Epoch(train) [16][3340/3757] lr: 1.0000e-02 eta: 2 days, 10:19:56 time: 0.6729 data_time: 0.0368 memory: 17350 grad_norm: 5.3670 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8828 loss: 1.8828 2022/07/22 12:05:03 - mmengine - INFO - Epoch(train) [16][3360/3757] lr: 1.0000e-02 eta: 2 days, 10:19:41 time: 0.6461 data_time: 0.0556 memory: 17350 grad_norm: 5.6027 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1496 loss: 2.1496 2022/07/22 12:05:18 - mmengine - INFO - Epoch(train) [16][3380/3757] lr: 1.0000e-02 eta: 2 days, 10:19:36 time: 0.7460 data_time: 0.1105 memory: 17350 grad_norm: 5.3936 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9558 loss: 1.9558 2022/07/22 12:05:30 - mmengine - INFO - Epoch(train) [16][3400/3757] lr: 1.0000e-02 eta: 2 days, 10:19:17 time: 0.6093 data_time: 0.0920 memory: 17350 grad_norm: 5.3402 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9081 loss: 1.9081 2022/07/22 12:05:44 - mmengine - INFO - Epoch(train) [16][3420/3757] lr: 1.0000e-02 eta: 2 days, 10:19:09 time: 0.7130 data_time: 0.0622 memory: 17350 grad_norm: 5.4485 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0011 loss: 2.0011 2022/07/22 12:05:56 - mmengine - INFO - Epoch(train) [16][3440/3757] lr: 1.0000e-02 eta: 2 days, 10:18:49 time: 0.5993 data_time: 0.0310 memory: 17350 grad_norm: 5.4405 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2135 loss: 2.2135 2022/07/22 12:06:10 - mmengine - INFO - Epoch(train) [16][3460/3757] lr: 1.0000e-02 eta: 2 days, 10:18:38 time: 0.6859 data_time: 0.0217 memory: 17350 grad_norm: 5.4702 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0607 loss: 2.0607 2022/07/22 12:06:23 - mmengine - INFO - Epoch(train) [16][3480/3757] lr: 1.0000e-02 eta: 2 days, 10:18:22 time: 0.6450 data_time: 0.0225 memory: 17350 grad_norm: 5.2424 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0297 loss: 2.0297 2022/07/22 12:06:37 - mmengine - INFO - Epoch(train) [16][3500/3757] lr: 1.0000e-02 eta: 2 days, 10:18:12 time: 0.6925 data_time: 0.0224 memory: 17350 grad_norm: 5.2155 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8203 loss: 1.8203 2022/07/22 12:06:49 - mmengine - INFO - Epoch(train) [16][3520/3757] lr: 1.0000e-02 eta: 2 days, 10:17:54 time: 0.6261 data_time: 0.0217 memory: 17350 grad_norm: 5.3058 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9483 loss: 1.9483 2022/07/22 12:07:03 - mmengine - INFO - Epoch(train) [16][3540/3757] lr: 1.0000e-02 eta: 2 days, 10:17:45 time: 0.6993 data_time: 0.0207 memory: 17350 grad_norm: 5.3930 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3472 loss: 2.3472 2022/07/22 12:07:16 - mmengine - INFO - Epoch(train) [16][3560/3757] lr: 1.0000e-02 eta: 2 days, 10:17:30 time: 0.6474 data_time: 0.0229 memory: 17350 grad_norm: 5.4797 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1262 loss: 2.1262 2022/07/22 12:07:31 - mmengine - INFO - Epoch(train) [16][3580/3757] lr: 1.0000e-02 eta: 2 days, 10:17:24 time: 0.7368 data_time: 0.0228 memory: 17350 grad_norm: 5.4079 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4023 loss: 2.4023 2022/07/22 12:07:43 - mmengine - INFO - Epoch(train) [16][3600/3757] lr: 1.0000e-02 eta: 2 days, 10:17:05 time: 0.6113 data_time: 0.0254 memory: 17350 grad_norm: 5.4901 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9903 loss: 1.9903 2022/07/22 12:07:58 - mmengine - INFO - Epoch(train) [16][3620/3757] lr: 1.0000e-02 eta: 2 days, 10:16:56 time: 0.7081 data_time: 0.0218 memory: 17350 grad_norm: 5.3133 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9342 loss: 1.9342 2022/07/22 12:08:10 - mmengine - INFO - Epoch(train) [16][3640/3757] lr: 1.0000e-02 eta: 2 days, 10:16:39 time: 0.6272 data_time: 0.0228 memory: 17350 grad_norm: 5.3901 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2397 loss: 2.2397 2022/07/22 12:08:14 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 12:08:25 - mmengine - INFO - Epoch(train) [16][3660/3757] lr: 1.0000e-02 eta: 2 days, 10:16:32 time: 0.7227 data_time: 0.0231 memory: 17350 grad_norm: 5.2779 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9860 loss: 1.9860 2022/07/22 12:08:36 - mmengine - INFO - Epoch(train) [16][3680/3757] lr: 1.0000e-02 eta: 2 days, 10:16:11 time: 0.5949 data_time: 0.0241 memory: 17350 grad_norm: 5.3800 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9528 loss: 1.9528 2022/07/22 12:08:51 - mmengine - INFO - Epoch(train) [16][3700/3757] lr: 1.0000e-02 eta: 2 days, 10:16:04 time: 0.7233 data_time: 0.0218 memory: 17350 grad_norm: 5.3844 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1572 loss: 2.1572 2022/07/22 12:09:03 - mmengine - INFO - Epoch(train) [16][3720/3757] lr: 1.0000e-02 eta: 2 days, 10:15:42 time: 0.5815 data_time: 0.0250 memory: 17350 grad_norm: 5.5545 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0665 loss: 2.0665 2022/07/22 12:09:17 - mmengine - INFO - Epoch(train) [16][3740/3757] lr: 1.0000e-02 eta: 2 days, 10:15:36 time: 0.7324 data_time: 0.0155 memory: 17350 grad_norm: 5.4203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0844 loss: 2.0844 2022/07/22 12:09:24 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 12:09:24 - mmengine - INFO - Epoch(train) [16][3757/3757] lr: 1.0000e-02 eta: 2 days, 10:15:36 time: 0.5443 data_time: 0.0225 memory: 17350 grad_norm: 5.5032 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.0042 loss: 2.0042 2022/07/22 12:09:41 - mmengine - INFO - Epoch(val) [16][20/310] eta: 0:04:03 time: 0.8391 data_time: 0.7249 memory: 3406 2022/07/22 12:09:52 - mmengine - INFO - Epoch(val) [16][40/310] eta: 0:02:27 time: 0.5466 data_time: 0.4340 memory: 3406 2022/07/22 12:10:08 - mmengine - INFO - Epoch(val) [16][60/310] eta: 0:03:21 time: 0.8051 data_time: 0.6902 memory: 3406 2022/07/22 12:10:19 - mmengine - INFO - Epoch(val) [16][80/310] eta: 0:01:59 time: 0.5188 data_time: 0.4060 memory: 3406 2022/07/22 12:10:34 - mmengine - INFO - Epoch(val) [16][100/310] eta: 0:02:41 time: 0.7674 data_time: 0.6468 memory: 3406 2022/07/22 12:10:45 - mmengine - INFO - Epoch(val) [16][120/310] eta: 0:01:47 time: 0.5660 data_time: 0.4542 memory: 3406 2022/07/22 12:11:01 - mmengine - INFO - Epoch(val) [16][140/310] eta: 0:02:11 time: 0.7730 data_time: 0.6573 memory: 3406 2022/07/22 12:11:13 - mmengine - INFO - Epoch(val) [16][160/310] eta: 0:01:34 time: 0.6299 data_time: 0.5179 memory: 3406 2022/07/22 12:11:27 - mmengine - INFO - Epoch(val) [16][180/310] eta: 0:01:27 time: 0.6715 data_time: 0.5591 memory: 3406 2022/07/22 12:11:39 - mmengine - INFO - Epoch(val) [16][200/310] eta: 0:01:08 time: 0.6232 data_time: 0.5121 memory: 3406 2022/07/22 12:11:53 - mmengine - INFO - Epoch(val) [16][220/310] eta: 0:01:00 time: 0.6726 data_time: 0.5606 memory: 3406 2022/07/22 12:12:05 - mmengine - INFO - Epoch(val) [16][240/310] eta: 0:00:42 time: 0.6130 data_time: 0.4935 memory: 3406 2022/07/22 12:12:18 - mmengine - INFO - Epoch(val) [16][260/310] eta: 0:00:33 time: 0.6747 data_time: 0.5632 memory: 3406 2022/07/22 12:12:31 - mmengine - INFO - Epoch(val) [16][280/310] eta: 0:00:19 time: 0.6446 data_time: 0.5314 memory: 3406 2022/07/22 12:12:45 - mmengine - INFO - Epoch(val) [16][300/310] eta: 0:00:06 time: 0.6620 data_time: 0.5501 memory: 3406 2022/07/22 12:12:51 - mmengine - INFO - Epoch(val) [16][310/310] acc/top1: 0.5489 acc/top5: 0.7998 acc/mean1: 0.5488 2022/07/22 12:12:51 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_16.pth is removed 2022/07/22 12:12:54 - mmengine - INFO - The best checkpoint with 0.5489 acc/top1 at 17 epoch is saved to best_acc/top1_epoch_17.pth. 2022/07/22 12:13:11 - mmengine - INFO - Epoch(train) [17][20/3757] lr: 1.0000e-02 eta: 2 days, 10:14:33 time: 0.8597 data_time: 0.5324 memory: 17350 grad_norm: 5.3494 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1108 loss: 2.1108 2022/07/22 12:13:23 - mmengine - INFO - Epoch(train) [17][40/3757] lr: 1.0000e-02 eta: 2 days, 10:14:11 time: 0.5796 data_time: 0.2599 memory: 17350 grad_norm: 5.4246 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0268 loss: 2.0268 2022/07/22 12:13:37 - mmengine - INFO - Epoch(train) [17][60/3757] lr: 1.0000e-02 eta: 2 days, 10:14:03 time: 0.7174 data_time: 0.4027 memory: 17350 grad_norm: 5.4522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1219 loss: 2.1219 2022/07/22 12:13:49 - mmengine - INFO - Epoch(train) [17][80/3757] lr: 1.0000e-02 eta: 2 days, 10:13:46 time: 0.6274 data_time: 0.3059 memory: 17350 grad_norm: 5.5635 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2305 loss: 2.2305 2022/07/22 12:14:03 - mmengine - INFO - Epoch(train) [17][100/3757] lr: 1.0000e-02 eta: 2 days, 10:13:35 time: 0.6867 data_time: 0.3603 memory: 17350 grad_norm: 5.4342 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8426 loss: 1.8426 2022/07/22 12:14:15 - mmengine - INFO - Epoch(train) [17][120/3757] lr: 1.0000e-02 eta: 2 days, 10:13:16 time: 0.6113 data_time: 0.2857 memory: 17350 grad_norm: 5.3919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0633 loss: 2.0633 2022/07/22 12:14:30 - mmengine - INFO - Epoch(train) [17][140/3757] lr: 1.0000e-02 eta: 2 days, 10:13:10 time: 0.7343 data_time: 0.3807 memory: 17350 grad_norm: 5.3853 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9867 loss: 1.9867 2022/07/22 12:14:42 - mmengine - INFO - Epoch(train) [17][160/3757] lr: 1.0000e-02 eta: 2 days, 10:12:51 time: 0.6121 data_time: 0.2141 memory: 17350 grad_norm: 5.4427 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1128 loss: 2.1128 2022/07/22 12:14:57 - mmengine - INFO - Epoch(train) [17][180/3757] lr: 1.0000e-02 eta: 2 days, 10:12:47 time: 0.7495 data_time: 0.2767 memory: 17350 grad_norm: 5.2831 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9810 loss: 1.9810 2022/07/22 12:15:09 - mmengine - INFO - Epoch(train) [17][200/3757] lr: 1.0000e-02 eta: 2 days, 10:12:26 time: 0.5902 data_time: 0.2344 memory: 17350 grad_norm: 5.3942 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0809 loss: 2.0809 2022/07/22 12:15:24 - mmengine - INFO - Epoch(train) [17][220/3757] lr: 1.0000e-02 eta: 2 days, 10:12:22 time: 0.7578 data_time: 0.4249 memory: 17350 grad_norm: 5.3085 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9977 loss: 1.9977 2022/07/22 12:15:37 - mmengine - INFO - Epoch(train) [17][240/3757] lr: 1.0000e-02 eta: 2 days, 10:12:05 time: 0.6226 data_time: 0.2896 memory: 17350 grad_norm: 5.2705 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0450 loss: 2.0450 2022/07/22 12:15:52 - mmengine - INFO - Epoch(train) [17][260/3757] lr: 1.0000e-02 eta: 2 days, 10:12:01 time: 0.7535 data_time: 0.4254 memory: 17350 grad_norm: 5.4031 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9596 loss: 1.9596 2022/07/22 12:16:04 - mmengine - INFO - Epoch(train) [17][280/3757] lr: 1.0000e-02 eta: 2 days, 10:11:40 time: 0.5939 data_time: 0.2516 memory: 17350 grad_norm: 5.3885 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9999 loss: 1.9999 2022/07/22 12:16:19 - mmengine - INFO - Epoch(train) [17][300/3757] lr: 1.0000e-02 eta: 2 days, 10:11:35 time: 0.7463 data_time: 0.4181 memory: 17350 grad_norm: 5.4042 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0603 loss: 2.0603 2022/07/22 12:16:30 - mmengine - INFO - Epoch(train) [17][320/3757] lr: 1.0000e-02 eta: 2 days, 10:11:12 time: 0.5720 data_time: 0.2360 memory: 17350 grad_norm: 5.3797 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0711 loss: 2.0711 2022/07/22 12:16:44 - mmengine - INFO - Epoch(train) [17][340/3757] lr: 1.0000e-02 eta: 2 days, 10:11:04 time: 0.7175 data_time: 0.3817 memory: 17350 grad_norm: 5.4214 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2390 loss: 2.2390 2022/07/22 12:16:57 - mmengine - INFO - Epoch(train) [17][360/3757] lr: 1.0000e-02 eta: 2 days, 10:10:47 time: 0.6245 data_time: 0.2956 memory: 17350 grad_norm: 5.4077 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2068 loss: 2.2068 2022/07/22 12:17:12 - mmengine - INFO - Epoch(train) [17][380/3757] lr: 1.0000e-02 eta: 2 days, 10:10:44 time: 0.7640 data_time: 0.4222 memory: 17350 grad_norm: 5.4167 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0192 loss: 2.0192 2022/07/22 12:17:24 - mmengine - INFO - Epoch(train) [17][400/3757] lr: 1.0000e-02 eta: 2 days, 10:10:21 time: 0.5695 data_time: 0.2367 memory: 17350 grad_norm: 5.3749 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0261 loss: 2.0261 2022/07/22 12:17:38 - mmengine - INFO - Epoch(train) [17][420/3757] lr: 1.0000e-02 eta: 2 days, 10:10:16 time: 0.7402 data_time: 0.4112 memory: 17350 grad_norm: 5.3569 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8972 loss: 1.8972 2022/07/22 12:17:50 - mmengine - INFO - Epoch(train) [17][440/3757] lr: 1.0000e-02 eta: 2 days, 10:09:53 time: 0.5733 data_time: 0.2417 memory: 17350 grad_norm: 5.1701 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9111 loss: 1.9111 2022/07/22 12:18:05 - mmengine - INFO - Epoch(train) [17][460/3757] lr: 1.0000e-02 eta: 2 days, 10:09:48 time: 0.7453 data_time: 0.4090 memory: 17350 grad_norm: 5.5289 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4498 loss: 2.4498 2022/07/22 12:18:16 - mmengine - INFO - Epoch(train) [17][480/3757] lr: 1.0000e-02 eta: 2 days, 10:09:25 time: 0.5763 data_time: 0.2426 memory: 17350 grad_norm: 5.4292 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2071 loss: 2.2071 2022/07/22 12:18:31 - mmengine - INFO - Epoch(train) [17][500/3757] lr: 1.0000e-02 eta: 2 days, 10:09:19 time: 0.7260 data_time: 0.3962 memory: 17350 grad_norm: 5.4386 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0090 loss: 2.0090 2022/07/22 12:18:43 - mmengine - INFO - Epoch(train) [17][520/3757] lr: 1.0000e-02 eta: 2 days, 10:08:59 time: 0.6074 data_time: 0.2737 memory: 17350 grad_norm: 5.5388 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1225 loss: 2.1225 2022/07/22 12:18:58 - mmengine - INFO - Epoch(train) [17][540/3757] lr: 1.0000e-02 eta: 2 days, 10:08:54 time: 0.7394 data_time: 0.4088 memory: 17350 grad_norm: 5.2892 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2333 loss: 2.2333 2022/07/22 12:19:10 - mmengine - INFO - Epoch(train) [17][560/3757] lr: 1.0000e-02 eta: 2 days, 10:08:34 time: 0.6053 data_time: 0.2741 memory: 17350 grad_norm: 5.3624 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9870 loss: 1.9870 2022/07/22 12:19:25 - mmengine - INFO - Epoch(train) [17][580/3757] lr: 1.0000e-02 eta: 2 days, 10:08:29 time: 0.7451 data_time: 0.4075 memory: 17350 grad_norm: 5.3145 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1894 loss: 2.1894 2022/07/22 12:19:37 - mmengine - INFO - Epoch(train) [17][600/3757] lr: 1.0000e-02 eta: 2 days, 10:08:08 time: 0.5904 data_time: 0.2549 memory: 17350 grad_norm: 5.2452 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9541 loss: 1.9541 2022/07/22 12:19:51 - mmengine - INFO - Epoch(train) [17][620/3757] lr: 1.0000e-02 eta: 2 days, 10:07:58 time: 0.6962 data_time: 0.3667 memory: 17350 grad_norm: 5.3371 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2991 loss: 2.2991 2022/07/22 12:20:02 - mmengine - INFO - Epoch(train) [17][640/3757] lr: 1.0000e-02 eta: 2 days, 10:07:37 time: 0.5900 data_time: 0.2629 memory: 17350 grad_norm: 5.2386 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3485 loss: 2.3485 2022/07/22 12:20:17 - mmengine - INFO - Epoch(train) [17][660/3757] lr: 1.0000e-02 eta: 2 days, 10:07:33 time: 0.7468 data_time: 0.4150 memory: 17350 grad_norm: 5.3536 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2976 loss: 2.2976 2022/07/22 12:20:30 - mmengine - INFO - Epoch(train) [17][680/3757] lr: 1.0000e-02 eta: 2 days, 10:07:14 time: 0.6137 data_time: 0.2823 memory: 17350 grad_norm: 5.4467 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0846 loss: 2.0846 2022/07/22 12:20:45 - mmengine - INFO - Epoch(train) [17][700/3757] lr: 1.0000e-02 eta: 2 days, 10:07:13 time: 0.7806 data_time: 0.4426 memory: 17350 grad_norm: 5.2665 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2146 loss: 2.2146 2022/07/22 12:20:57 - mmengine - INFO - Epoch(train) [17][720/3757] lr: 1.0000e-02 eta: 2 days, 10:06:52 time: 0.5871 data_time: 0.2527 memory: 17350 grad_norm: 5.1753 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7963 loss: 1.7963 2022/07/22 12:21:11 - mmengine - INFO - Epoch(train) [17][740/3757] lr: 1.0000e-02 eta: 2 days, 10:06:42 time: 0.7006 data_time: 0.3310 memory: 17350 grad_norm: 5.3313 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7084 loss: 1.7084 2022/07/22 12:21:24 - mmengine - INFO - Epoch(train) [17][760/3757] lr: 1.0000e-02 eta: 2 days, 10:06:26 time: 0.6405 data_time: 0.1781 memory: 17350 grad_norm: 5.4835 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0466 loss: 2.0466 2022/07/22 12:21:37 - mmengine - INFO - Epoch(train) [17][780/3757] lr: 1.0000e-02 eta: 2 days, 10:06:15 time: 0.6823 data_time: 0.1428 memory: 17350 grad_norm: 5.4860 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1460 loss: 2.1460 2022/07/22 12:21:50 - mmengine - INFO - Epoch(train) [17][800/3757] lr: 1.0000e-02 eta: 2 days, 10:05:57 time: 0.6158 data_time: 0.1404 memory: 17350 grad_norm: 5.4827 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0788 loss: 2.0788 2022/07/22 12:22:04 - mmengine - INFO - Epoch(train) [17][820/3757] lr: 1.0000e-02 eta: 2 days, 10:05:48 time: 0.7148 data_time: 0.3084 memory: 17350 grad_norm: 5.6263 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0928 loss: 2.0928 2022/07/22 12:22:17 - mmengine - INFO - Epoch(train) [17][840/3757] lr: 1.0000e-02 eta: 2 days, 10:05:32 time: 0.6385 data_time: 0.2932 memory: 17350 grad_norm: 5.5522 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0838 loss: 2.0838 2022/07/22 12:22:32 - mmengine - INFO - Epoch(train) [17][860/3757] lr: 1.0000e-02 eta: 2 days, 10:05:31 time: 0.7738 data_time: 0.4482 memory: 17350 grad_norm: 5.3983 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1433 loss: 2.1433 2022/07/22 12:22:44 - mmengine - INFO - Epoch(train) [17][880/3757] lr: 1.0000e-02 eta: 2 days, 10:05:08 time: 0.5722 data_time: 0.2434 memory: 17350 grad_norm: 5.3237 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0732 loss: 2.0732 2022/07/22 12:22:49 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 12:22:58 - mmengine - INFO - Epoch(train) [17][900/3757] lr: 1.0000e-02 eta: 2 days, 10:04:57 time: 0.6925 data_time: 0.3039 memory: 17350 grad_norm: 5.2316 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0336 loss: 2.0336 2022/07/22 12:23:09 - mmengine - INFO - Epoch(train) [17][920/3757] lr: 1.0000e-02 eta: 2 days, 10:04:36 time: 0.5829 data_time: 0.1523 memory: 17350 grad_norm: 5.2870 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0196 loss: 2.0196 2022/07/22 12:23:23 - mmengine - INFO - Epoch(train) [17][940/3757] lr: 1.0000e-02 eta: 2 days, 10:04:26 time: 0.7004 data_time: 0.2067 memory: 17350 grad_norm: 5.2065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9912 loss: 1.9912 2022/07/22 12:23:36 - mmengine - INFO - Epoch(train) [17][960/3757] lr: 1.0000e-02 eta: 2 days, 10:04:11 time: 0.6501 data_time: 0.2028 memory: 17350 grad_norm: 5.3567 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0172 loss: 2.0172 2022/07/22 12:23:51 - mmengine - INFO - Epoch(train) [17][980/3757] lr: 1.0000e-02 eta: 2 days, 10:04:05 time: 0.7325 data_time: 0.4062 memory: 17350 grad_norm: 5.6626 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9895 loss: 1.9895 2022/07/22 12:24:03 - mmengine - INFO - Epoch(train) [17][1000/3757] lr: 1.0000e-02 eta: 2 days, 10:03:47 time: 0.6196 data_time: 0.2997 memory: 17350 grad_norm: 5.3074 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1413 loss: 2.1413 2022/07/22 12:24:18 - mmengine - INFO - Epoch(train) [17][1020/3757] lr: 1.0000e-02 eta: 2 days, 10:03:43 time: 0.7549 data_time: 0.4379 memory: 17350 grad_norm: 5.3124 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2887 loss: 2.2887 2022/07/22 12:24:30 - mmengine - INFO - Epoch(train) [17][1040/3757] lr: 1.0000e-02 eta: 2 days, 10:03:20 time: 0.5705 data_time: 0.2439 memory: 17350 grad_norm: 5.5909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1035 loss: 2.1035 2022/07/22 12:24:45 - mmengine - INFO - Epoch(train) [17][1060/3757] lr: 1.0000e-02 eta: 2 days, 10:03:15 time: 0.7487 data_time: 0.4102 memory: 17350 grad_norm: 5.3782 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9445 loss: 1.9445 2022/07/22 12:24:57 - mmengine - INFO - Epoch(train) [17][1080/3757] lr: 1.0000e-02 eta: 2 days, 10:02:55 time: 0.5992 data_time: 0.2748 memory: 17350 grad_norm: 5.1986 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2007 loss: 2.2007 2022/07/22 12:25:12 - mmengine - INFO - Epoch(train) [17][1100/3757] lr: 1.0000e-02 eta: 2 days, 10:02:52 time: 0.7602 data_time: 0.4366 memory: 17350 grad_norm: 5.2785 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1041 loss: 2.1041 2022/07/22 12:25:24 - mmengine - INFO - Epoch(train) [17][1120/3757] lr: 1.0000e-02 eta: 2 days, 10:02:31 time: 0.5883 data_time: 0.2618 memory: 17350 grad_norm: 5.2252 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9347 loss: 1.9347 2022/07/22 12:25:37 - mmengine - INFO - Epoch(train) [17][1140/3757] lr: 1.0000e-02 eta: 2 days, 10:02:19 time: 0.6812 data_time: 0.3004 memory: 17350 grad_norm: 5.2490 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1398 loss: 2.1398 2022/07/22 12:25:49 - mmengine - INFO - Epoch(train) [17][1160/3757] lr: 1.0000e-02 eta: 2 days, 10:01:56 time: 0.5630 data_time: 0.0379 memory: 17350 grad_norm: 5.3398 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9405 loss: 1.9405 2022/07/22 12:26:04 - mmengine - INFO - Epoch(train) [17][1180/3757] lr: 1.0000e-02 eta: 2 days, 10:01:50 time: 0.7400 data_time: 0.0968 memory: 17350 grad_norm: 5.3187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8926 loss: 1.8926 2022/07/22 12:26:16 - mmengine - INFO - Epoch(train) [17][1200/3757] lr: 1.0000e-02 eta: 2 days, 10:01:34 time: 0.6377 data_time: 0.1122 memory: 17350 grad_norm: 5.3301 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0587 loss: 2.0587 2022/07/22 12:26:30 - mmengine - INFO - Epoch(train) [17][1220/3757] lr: 1.0000e-02 eta: 2 days, 10:01:25 time: 0.7028 data_time: 0.1886 memory: 17350 grad_norm: 5.3861 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.8350 loss: 1.8350 2022/07/22 12:26:43 - mmengine - INFO - Epoch(train) [17][1240/3757] lr: 1.0000e-02 eta: 2 days, 10:01:09 time: 0.6365 data_time: 0.1285 memory: 17350 grad_norm: 5.3910 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0914 loss: 2.0914 2022/07/22 12:26:57 - mmengine - INFO - Epoch(train) [17][1260/3757] lr: 1.0000e-02 eta: 2 days, 10:00:57 time: 0.6833 data_time: 0.1775 memory: 17350 grad_norm: 5.4016 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0701 loss: 2.0701 2022/07/22 12:27:09 - mmengine - INFO - Epoch(train) [17][1280/3757] lr: 1.0000e-02 eta: 2 days, 10:00:39 time: 0.6176 data_time: 0.1194 memory: 17350 grad_norm: 5.0537 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0694 loss: 2.0694 2022/07/22 12:27:24 - mmengine - INFO - Epoch(train) [17][1300/3757] lr: 1.0000e-02 eta: 2 days, 10:00:33 time: 0.7331 data_time: 0.1679 memory: 17350 grad_norm: 5.5145 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0416 loss: 2.0416 2022/07/22 12:27:36 - mmengine - INFO - Epoch(train) [17][1320/3757] lr: 1.0000e-02 eta: 2 days, 10:00:16 time: 0.6303 data_time: 0.1816 memory: 17350 grad_norm: 5.4091 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0012 loss: 2.0012 2022/07/22 12:27:51 - mmengine - INFO - Epoch(train) [17][1340/3757] lr: 1.0000e-02 eta: 2 days, 10:00:08 time: 0.7118 data_time: 0.0884 memory: 17350 grad_norm: 5.4331 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9905 loss: 1.9905 2022/07/22 12:28:03 - mmengine - INFO - Epoch(train) [17][1360/3757] lr: 1.0000e-02 eta: 2 days, 9:59:49 time: 0.6150 data_time: 0.0294 memory: 17350 grad_norm: 5.4480 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0653 loss: 2.0653 2022/07/22 12:28:18 - mmengine - INFO - Epoch(train) [17][1380/3757] lr: 1.0000e-02 eta: 2 days, 9:59:44 time: 0.7426 data_time: 0.0230 memory: 17350 grad_norm: 5.4501 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9384 loss: 1.9384 2022/07/22 12:28:30 - mmengine - INFO - Epoch(train) [17][1400/3757] lr: 1.0000e-02 eta: 2 days, 9:59:24 time: 0.5948 data_time: 0.0229 memory: 17350 grad_norm: 5.2810 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9462 loss: 1.9462 2022/07/22 12:28:44 - mmengine - INFO - Epoch(train) [17][1420/3757] lr: 1.0000e-02 eta: 2 days, 9:59:17 time: 0.7260 data_time: 0.0291 memory: 17350 grad_norm: 5.5373 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9394 loss: 1.9394 2022/07/22 12:28:57 - mmengine - INFO - Epoch(train) [17][1440/3757] lr: 1.0000e-02 eta: 2 days, 9:59:01 time: 0.6459 data_time: 0.0223 memory: 17350 grad_norm: 5.4551 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1366 loss: 2.1366 2022/07/22 12:29:11 - mmengine - INFO - Epoch(train) [17][1460/3757] lr: 1.0000e-02 eta: 2 days, 9:58:50 time: 0.6803 data_time: 0.0227 memory: 17350 grad_norm: 5.3322 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1510 loss: 2.1510 2022/07/22 12:29:23 - mmengine - INFO - Epoch(train) [17][1480/3757] lr: 1.0000e-02 eta: 2 days, 9:58:33 time: 0.6353 data_time: 0.0226 memory: 17350 grad_norm: 5.5115 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1126 loss: 2.1126 2022/07/22 12:29:38 - mmengine - INFO - Epoch(train) [17][1500/3757] lr: 1.0000e-02 eta: 2 days, 9:58:27 time: 0.7348 data_time: 0.0224 memory: 17350 grad_norm: 5.4266 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1382 loss: 2.1382 2022/07/22 12:29:49 - mmengine - INFO - Epoch(train) [17][1520/3757] lr: 1.0000e-02 eta: 2 days, 9:58:03 time: 0.5586 data_time: 0.0235 memory: 17350 grad_norm: 5.3447 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1359 loss: 2.1359 2022/07/22 12:30:03 - mmengine - INFO - Epoch(train) [17][1540/3757] lr: 1.0000e-02 eta: 2 days, 9:57:54 time: 0.7025 data_time: 0.0217 memory: 17350 grad_norm: 5.4132 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0788 loss: 2.0788 2022/07/22 12:30:16 - mmengine - INFO - Epoch(train) [17][1560/3757] lr: 1.0000e-02 eta: 2 days, 9:57:35 time: 0.6107 data_time: 0.0211 memory: 17350 grad_norm: 5.4629 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1493 loss: 2.1493 2022/07/22 12:30:31 - mmengine - INFO - Epoch(train) [17][1580/3757] lr: 1.0000e-02 eta: 2 days, 9:57:31 time: 0.7589 data_time: 0.0239 memory: 17350 grad_norm: 5.4342 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3627 loss: 2.3627 2022/07/22 12:30:44 - mmengine - INFO - Epoch(train) [17][1600/3757] lr: 1.0000e-02 eta: 2 days, 9:57:16 time: 0.6484 data_time: 0.0222 memory: 17350 grad_norm: 5.4633 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2004 loss: 2.2004 2022/07/22 12:30:59 - mmengine - INFO - Epoch(train) [17][1620/3757] lr: 1.0000e-02 eta: 2 days, 9:57:13 time: 0.7635 data_time: 0.0221 memory: 17350 grad_norm: 5.3743 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3895 loss: 2.3895 2022/07/22 12:31:10 - mmengine - INFO - Epoch(train) [17][1640/3757] lr: 1.0000e-02 eta: 2 days, 9:56:47 time: 0.5341 data_time: 0.0233 memory: 17350 grad_norm: 5.3446 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0829 loss: 2.0829 2022/07/22 12:31:24 - mmengine - INFO - Epoch(train) [17][1660/3757] lr: 1.0000e-02 eta: 2 days, 9:56:37 time: 0.7030 data_time: 0.0216 memory: 17350 grad_norm: 5.5290 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.2934 loss: 2.2934 2022/07/22 12:31:36 - mmengine - INFO - Epoch(train) [17][1680/3757] lr: 1.0000e-02 eta: 2 days, 9:56:18 time: 0.6091 data_time: 0.0216 memory: 17350 grad_norm: 5.5543 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0959 loss: 2.0959 2022/07/22 12:31:50 - mmengine - INFO - Epoch(train) [17][1700/3757] lr: 1.0000e-02 eta: 2 days, 9:56:08 time: 0.6936 data_time: 0.0235 memory: 17350 grad_norm: 5.3545 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1130 loss: 2.1130 2022/07/22 12:32:02 - mmengine - INFO - Epoch(train) [17][1720/3757] lr: 1.0000e-02 eta: 2 days, 9:55:49 time: 0.6028 data_time: 0.0250 memory: 17350 grad_norm: 5.3985 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9925 loss: 1.9925 2022/07/22 12:32:17 - mmengine - INFO - Epoch(train) [17][1740/3757] lr: 1.0000e-02 eta: 2 days, 9:55:47 time: 0.7789 data_time: 0.0228 memory: 17350 grad_norm: 5.2342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9485 loss: 1.9485 2022/07/22 12:32:29 - mmengine - INFO - Epoch(train) [17][1760/3757] lr: 1.0000e-02 eta: 2 days, 9:55:23 time: 0.5617 data_time: 0.0224 memory: 17350 grad_norm: 5.5379 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3116 loss: 2.3116 2022/07/22 12:32:43 - mmengine - INFO - Epoch(train) [17][1780/3757] lr: 1.0000e-02 eta: 2 days, 9:55:14 time: 0.7054 data_time: 0.0233 memory: 17350 grad_norm: 5.2552 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0421 loss: 2.0421 2022/07/22 12:32:55 - mmengine - INFO - Epoch(train) [17][1800/3757] lr: 1.0000e-02 eta: 2 days, 9:54:56 time: 0.6170 data_time: 0.0223 memory: 17350 grad_norm: 5.4226 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0200 loss: 2.0200 2022/07/22 12:33:10 - mmengine - INFO - Epoch(train) [17][1820/3757] lr: 1.0000e-02 eta: 2 days, 9:54:50 time: 0.7415 data_time: 0.0230 memory: 17350 grad_norm: 5.5198 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9220 loss: 1.9220 2022/07/22 12:33:22 - mmengine - INFO - Epoch(train) [17][1840/3757] lr: 1.0000e-02 eta: 2 days, 9:54:30 time: 0.5934 data_time: 0.0221 memory: 17350 grad_norm: 5.1890 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9688 loss: 1.9688 2022/07/22 12:33:37 - mmengine - INFO - Epoch(train) [17][1860/3757] lr: 1.0000e-02 eta: 2 days, 9:54:24 time: 0.7410 data_time: 0.0228 memory: 17350 grad_norm: 5.4853 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0710 loss: 2.0710 2022/07/22 12:33:49 - mmengine - INFO - Epoch(train) [17][1880/3757] lr: 1.0000e-02 eta: 2 days, 9:54:07 time: 0.6210 data_time: 0.0249 memory: 17350 grad_norm: 5.2989 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2606 loss: 2.2606 2022/07/22 12:33:54 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 12:34:03 - mmengine - INFO - Epoch(train) [17][1900/3757] lr: 1.0000e-02 eta: 2 days, 9:53:56 time: 0.6926 data_time: 0.0220 memory: 17350 grad_norm: 5.3775 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0409 loss: 2.0409 2022/07/22 12:34:15 - mmengine - INFO - Epoch(train) [17][1920/3757] lr: 1.0000e-02 eta: 2 days, 9:53:39 time: 0.6203 data_time: 0.0227 memory: 17350 grad_norm: 5.4384 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2219 loss: 2.2219 2022/07/22 12:34:30 - mmengine - INFO - Epoch(train) [17][1940/3757] lr: 1.0000e-02 eta: 2 days, 9:53:33 time: 0.7444 data_time: 0.0231 memory: 17350 grad_norm: 5.3212 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1198 loss: 2.1198 2022/07/22 12:34:42 - mmengine - INFO - Epoch(train) [17][1960/3757] lr: 1.0000e-02 eta: 2 days, 9:53:14 time: 0.6098 data_time: 0.0217 memory: 17350 grad_norm: 5.4940 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2886 loss: 2.2886 2022/07/22 12:34:57 - mmengine - INFO - Epoch(train) [17][1980/3757] lr: 1.0000e-02 eta: 2 days, 9:53:07 time: 0.7180 data_time: 0.0240 memory: 17350 grad_norm: 5.3577 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3217 loss: 2.3217 2022/07/22 12:35:09 - mmengine - INFO - Epoch(train) [17][2000/3757] lr: 1.0000e-02 eta: 2 days, 9:52:47 time: 0.6021 data_time: 0.0226 memory: 17350 grad_norm: 5.3818 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2584 loss: 2.2584 2022/07/22 12:35:24 - mmengine - INFO - Epoch(train) [17][2020/3757] lr: 1.0000e-02 eta: 2 days, 9:52:41 time: 0.7342 data_time: 0.0146 memory: 17350 grad_norm: 5.2920 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8670 loss: 1.8670 2022/07/22 12:35:35 - mmengine - INFO - Epoch(train) [17][2040/3757] lr: 1.0000e-02 eta: 2 days, 9:52:20 time: 0.5872 data_time: 0.0243 memory: 17350 grad_norm: 5.3729 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6926 loss: 1.6926 2022/07/22 12:35:50 - mmengine - INFO - Epoch(train) [17][2060/3757] lr: 1.0000e-02 eta: 2 days, 9:52:14 time: 0.7370 data_time: 0.0211 memory: 17350 grad_norm: 5.4855 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9872 loss: 1.9872 2022/07/22 12:36:01 - mmengine - INFO - Epoch(train) [17][2080/3757] lr: 1.0000e-02 eta: 2 days, 9:51:50 time: 0.5597 data_time: 0.0154 memory: 17350 grad_norm: 5.3755 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2393 loss: 2.2393 2022/07/22 12:36:16 - mmengine - INFO - Epoch(train) [17][2100/3757] lr: 1.0000e-02 eta: 2 days, 9:51:43 time: 0.7273 data_time: 0.0279 memory: 17350 grad_norm: 5.2895 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1454 loss: 2.1454 2022/07/22 12:36:28 - mmengine - INFO - Epoch(train) [17][2120/3757] lr: 1.0000e-02 eta: 2 days, 9:51:23 time: 0.5993 data_time: 0.0213 memory: 17350 grad_norm: 5.2575 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2104 loss: 2.2104 2022/07/22 12:36:41 - mmengine - INFO - Epoch(train) [17][2140/3757] lr: 1.0000e-02 eta: 2 days, 9:51:09 time: 0.6553 data_time: 0.0694 memory: 17350 grad_norm: 5.4396 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0710 loss: 2.0710 2022/07/22 12:36:55 - mmengine - INFO - Epoch(train) [17][2160/3757] lr: 1.0000e-02 eta: 2 days, 9:50:59 time: 0.7036 data_time: 0.2474 memory: 17350 grad_norm: 5.4230 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1822 loss: 2.1822 2022/07/22 12:37:08 - mmengine - INFO - Epoch(train) [17][2180/3757] lr: 1.0000e-02 eta: 2 days, 9:50:44 time: 0.6386 data_time: 0.1945 memory: 17350 grad_norm: 5.4620 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1854 loss: 2.1854 2022/07/22 12:37:22 - mmengine - INFO - Epoch(train) [17][2200/3757] lr: 1.0000e-02 eta: 2 days, 9:50:34 time: 0.7043 data_time: 0.3024 memory: 17350 grad_norm: 5.3822 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2182 loss: 2.2182 2022/07/22 12:37:35 - mmengine - INFO - Epoch(train) [17][2220/3757] lr: 1.0000e-02 eta: 2 days, 9:50:19 time: 0.6438 data_time: 0.2250 memory: 17350 grad_norm: 5.4617 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1595 loss: 2.1595 2022/07/22 12:37:49 - mmengine - INFO - Epoch(train) [17][2240/3757] lr: 1.0000e-02 eta: 2 days, 9:50:10 time: 0.7062 data_time: 0.3488 memory: 17350 grad_norm: 5.2677 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8496 loss: 1.8496 2022/07/22 12:38:01 - mmengine - INFO - Epoch(train) [17][2260/3757] lr: 1.0000e-02 eta: 2 days, 9:49:52 time: 0.6175 data_time: 0.2527 memory: 17350 grad_norm: 5.3583 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1333 loss: 2.1333 2022/07/22 12:38:16 - mmengine - INFO - Epoch(train) [17][2280/3757] lr: 1.0000e-02 eta: 2 days, 9:49:43 time: 0.7131 data_time: 0.3616 memory: 17350 grad_norm: 5.4284 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2282 loss: 2.2282 2022/07/22 12:38:28 - mmengine - INFO - Epoch(train) [17][2300/3757] lr: 1.0000e-02 eta: 2 days, 9:49:26 time: 0.6271 data_time: 0.2090 memory: 17350 grad_norm: 5.3808 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0286 loss: 2.0286 2022/07/22 12:38:42 - mmengine - INFO - Epoch(train) [17][2320/3757] lr: 1.0000e-02 eta: 2 days, 9:49:14 time: 0.6725 data_time: 0.2588 memory: 17350 grad_norm: 5.2925 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1955 loss: 2.1955 2022/07/22 12:38:55 - mmengine - INFO - Epoch(train) [17][2340/3757] lr: 1.0000e-02 eta: 2 days, 9:49:02 time: 0.6788 data_time: 0.1213 memory: 17350 grad_norm: 5.2753 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0817 loss: 2.0817 2022/07/22 12:39:08 - mmengine - INFO - Epoch(train) [17][2360/3757] lr: 1.0000e-02 eta: 2 days, 9:48:45 time: 0.6274 data_time: 0.1145 memory: 17350 grad_norm: 5.4285 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0782 loss: 2.0782 2022/07/22 12:39:21 - mmengine - INFO - Epoch(train) [17][2380/3757] lr: 1.0000e-02 eta: 2 days, 9:48:34 time: 0.6881 data_time: 0.1102 memory: 17350 grad_norm: 5.3992 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8959 loss: 1.8959 2022/07/22 12:39:35 - mmengine - INFO - Epoch(train) [17][2400/3757] lr: 1.0000e-02 eta: 2 days, 9:48:22 time: 0.6724 data_time: 0.1559 memory: 17350 grad_norm: 5.4687 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0600 loss: 2.0600 2022/07/22 12:39:49 - mmengine - INFO - Epoch(train) [17][2420/3757] lr: 1.0000e-02 eta: 2 days, 9:48:12 time: 0.7022 data_time: 0.0340 memory: 17350 grad_norm: 5.3702 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9516 loss: 1.9516 2022/07/22 12:40:01 - mmengine - INFO - Epoch(train) [17][2440/3757] lr: 1.0000e-02 eta: 2 days, 9:47:51 time: 0.5907 data_time: 0.0358 memory: 17350 grad_norm: 5.4610 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9985 loss: 1.9985 2022/07/22 12:40:16 - mmengine - INFO - Epoch(train) [17][2460/3757] lr: 1.0000e-02 eta: 2 days, 9:47:46 time: 0.7442 data_time: 0.0261 memory: 17350 grad_norm: 5.2135 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0446 loss: 2.0446 2022/07/22 12:40:28 - mmengine - INFO - Epoch(train) [17][2480/3757] lr: 1.0000e-02 eta: 2 days, 9:47:28 time: 0.6202 data_time: 0.0420 memory: 17350 grad_norm: 5.2180 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1608 loss: 2.1608 2022/07/22 12:40:41 - mmengine - INFO - Epoch(train) [17][2500/3757] lr: 1.0000e-02 eta: 2 days, 9:47:14 time: 0.6571 data_time: 0.0690 memory: 17350 grad_norm: 5.5865 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9388 loss: 1.9388 2022/07/22 12:40:55 - mmengine - INFO - Epoch(train) [17][2520/3757] lr: 1.0000e-02 eta: 2 days, 9:47:03 time: 0.6806 data_time: 0.2189 memory: 17350 grad_norm: 5.3865 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1612 loss: 2.1612 2022/07/22 12:41:08 - mmengine - INFO - Epoch(train) [17][2540/3757] lr: 1.0000e-02 eta: 2 days, 9:46:51 time: 0.6814 data_time: 0.1795 memory: 17350 grad_norm: 5.4000 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1183 loss: 2.1183 2022/07/22 12:41:22 - mmengine - INFO - Epoch(train) [17][2560/3757] lr: 1.0000e-02 eta: 2 days, 9:46:37 time: 0.6591 data_time: 0.2115 memory: 17350 grad_norm: 5.1988 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9892 loss: 1.9892 2022/07/22 12:41:35 - mmengine - INFO - Epoch(train) [17][2580/3757] lr: 1.0000e-02 eta: 2 days, 9:46:26 time: 0.6863 data_time: 0.1287 memory: 17350 grad_norm: 5.4107 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1121 loss: 2.1121 2022/07/22 12:41:49 - mmengine - INFO - Epoch(train) [17][2600/3757] lr: 1.0000e-02 eta: 2 days, 9:46:13 time: 0.6701 data_time: 0.2651 memory: 17350 grad_norm: 5.3003 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9028 loss: 1.9028 2022/07/22 12:42:01 - mmengine - INFO - Epoch(train) [17][2620/3757] lr: 1.0000e-02 eta: 2 days, 9:45:55 time: 0.6175 data_time: 0.2319 memory: 17350 grad_norm: 5.3134 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0732 loss: 2.0732 2022/07/22 12:42:14 - mmengine - INFO - Epoch(train) [17][2640/3757] lr: 1.0000e-02 eta: 2 days, 9:45:41 time: 0.6493 data_time: 0.1537 memory: 17350 grad_norm: 5.3697 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0020 loss: 2.0020 2022/07/22 12:42:29 - mmengine - INFO - Epoch(train) [17][2660/3757] lr: 1.0000e-02 eta: 2 days, 9:45:33 time: 0.7255 data_time: 0.1293 memory: 17350 grad_norm: 5.3842 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9512 loss: 1.9512 2022/07/22 12:42:41 - mmengine - INFO - Epoch(train) [17][2680/3757] lr: 1.0000e-02 eta: 2 days, 9:45:16 time: 0.6219 data_time: 0.1653 memory: 17350 grad_norm: 5.4843 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8717 loss: 1.8717 2022/07/22 12:42:54 - mmengine - INFO - Epoch(train) [17][2700/3757] lr: 1.0000e-02 eta: 2 days, 9:45:02 time: 0.6574 data_time: 0.1587 memory: 17350 grad_norm: 5.4447 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9265 loss: 1.9265 2022/07/22 12:43:08 - mmengine - INFO - Epoch(train) [17][2720/3757] lr: 1.0000e-02 eta: 2 days, 9:44:53 time: 0.7070 data_time: 0.2565 memory: 17350 grad_norm: 5.3429 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1292 loss: 2.1292 2022/07/22 12:43:21 - mmengine - INFO - Epoch(train) [17][2740/3757] lr: 1.0000e-02 eta: 2 days, 9:44:38 time: 0.6470 data_time: 0.1161 memory: 17350 grad_norm: 5.4072 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0877 loss: 2.0877 2022/07/22 12:43:35 - mmengine - INFO - Epoch(train) [17][2760/3757] lr: 1.0000e-02 eta: 2 days, 9:44:24 time: 0.6613 data_time: 0.1507 memory: 17350 grad_norm: 5.4246 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0393 loss: 2.0393 2022/07/22 12:43:48 - mmengine - INFO - Epoch(train) [17][2780/3757] lr: 1.0000e-02 eta: 2 days, 9:44:14 time: 0.6943 data_time: 0.1233 memory: 17350 grad_norm: 5.3769 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9049 loss: 1.9049 2022/07/22 12:44:01 - mmengine - INFO - Epoch(train) [17][2800/3757] lr: 1.0000e-02 eta: 2 days, 9:43:57 time: 0.6284 data_time: 0.1858 memory: 17350 grad_norm: 5.1752 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9634 loss: 1.9634 2022/07/22 12:44:15 - mmengine - INFO - Epoch(train) [17][2820/3757] lr: 1.0000e-02 eta: 2 days, 9:43:46 time: 0.6827 data_time: 0.1669 memory: 17350 grad_norm: 5.3958 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2031 loss: 2.2031 2022/07/22 12:44:28 - mmengine - INFO - Epoch(train) [17][2840/3757] lr: 1.0000e-02 eta: 2 days, 9:43:31 time: 0.6539 data_time: 0.2028 memory: 17350 grad_norm: 5.3506 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2476 loss: 2.2476 2022/07/22 12:44:41 - mmengine - INFO - Epoch(train) [17][2860/3757] lr: 1.0000e-02 eta: 2 days, 9:43:16 time: 0.6494 data_time: 0.1965 memory: 17350 grad_norm: 5.2473 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9802 loss: 1.9802 2022/07/22 12:44:55 - mmengine - INFO - Epoch(train) [17][2880/3757] lr: 1.0000e-02 eta: 2 days, 9:43:07 time: 0.7047 data_time: 0.3302 memory: 17350 grad_norm: 5.3680 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6813 loss: 1.6813 2022/07/22 12:45:00 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 12:45:08 - mmengine - INFO - Epoch(train) [17][2900/3757] lr: 1.0000e-02 eta: 2 days, 9:42:54 time: 0.6659 data_time: 0.2206 memory: 17350 grad_norm: 5.6305 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2620 loss: 2.2620 2022/07/22 12:45:22 - mmengine - INFO - Epoch(train) [17][2920/3757] lr: 1.0000e-02 eta: 2 days, 9:42:41 time: 0.6690 data_time: 0.2675 memory: 17350 grad_norm: 5.2161 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1495 loss: 2.1495 2022/07/22 12:45:34 - mmengine - INFO - Epoch(train) [17][2940/3757] lr: 1.0000e-02 eta: 2 days, 9:42:25 time: 0.6305 data_time: 0.2388 memory: 17350 grad_norm: 5.4554 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0094 loss: 2.0094 2022/07/22 12:45:48 - mmengine - INFO - Epoch(train) [17][2960/3757] lr: 1.0000e-02 eta: 2 days, 9:42:12 time: 0.6758 data_time: 0.3252 memory: 17350 grad_norm: 5.2749 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1275 loss: 2.1275 2022/07/22 12:46:00 - mmengine - INFO - Epoch(train) [17][2980/3757] lr: 1.0000e-02 eta: 2 days, 9:41:56 time: 0.6307 data_time: 0.1818 memory: 17350 grad_norm: 5.3166 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8399 loss: 1.8399 2022/07/22 12:46:14 - mmengine - INFO - Epoch(train) [17][3000/3757] lr: 1.0000e-02 eta: 2 days, 9:41:44 time: 0.6835 data_time: 0.2878 memory: 17350 grad_norm: 5.4698 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2285 loss: 2.2285 2022/07/22 12:46:28 - mmengine - INFO - Epoch(train) [17][3020/3757] lr: 1.0000e-02 eta: 2 days, 9:41:32 time: 0.6785 data_time: 0.1263 memory: 17350 grad_norm: 5.3899 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7592 loss: 1.7592 2022/07/22 12:46:41 - mmengine - INFO - Epoch(train) [17][3040/3757] lr: 1.0000e-02 eta: 2 days, 9:41:20 time: 0.6754 data_time: 0.1821 memory: 17350 grad_norm: 5.5078 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8762 loss: 1.8762 2022/07/22 12:46:54 - mmengine - INFO - Epoch(train) [17][3060/3757] lr: 1.0000e-02 eta: 2 days, 9:41:07 time: 0.6689 data_time: 0.0843 memory: 17350 grad_norm: 5.2290 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9063 loss: 1.9063 2022/07/22 12:47:06 - mmengine - INFO - Epoch(train) [17][3080/3757] lr: 1.0000e-02 eta: 2 days, 9:40:46 time: 0.5855 data_time: 0.0401 memory: 17350 grad_norm: 5.3437 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9369 loss: 1.9369 2022/07/22 12:47:20 - mmengine - INFO - Epoch(train) [17][3100/3757] lr: 1.0000e-02 eta: 2 days, 9:40:38 time: 0.7152 data_time: 0.0427 memory: 17350 grad_norm: 5.3333 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2803 loss: 2.2803 2022/07/22 12:47:33 - mmengine - INFO - Epoch(train) [17][3120/3757] lr: 1.0000e-02 eta: 2 days, 9:40:22 time: 0.6334 data_time: 0.0410 memory: 17350 grad_norm: 5.4336 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0195 loss: 2.0195 2022/07/22 12:47:48 - mmengine - INFO - Epoch(train) [17][3140/3757] lr: 1.0000e-02 eta: 2 days, 9:40:15 time: 0.7315 data_time: 0.0212 memory: 17350 grad_norm: 5.0627 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8407 loss: 1.8407 2022/07/22 12:47:59 - mmengine - INFO - Epoch(train) [17][3160/3757] lr: 1.0000e-02 eta: 2 days, 9:39:53 time: 0.5786 data_time: 0.0219 memory: 17350 grad_norm: 5.4999 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2640 loss: 2.2640 2022/07/22 12:48:13 - mmengine - INFO - Epoch(train) [17][3180/3757] lr: 1.0000e-02 eta: 2 days, 9:39:44 time: 0.7032 data_time: 0.0334 memory: 17350 grad_norm: 5.2160 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3251 loss: 2.3251 2022/07/22 12:48:26 - mmengine - INFO - Epoch(train) [17][3200/3757] lr: 1.0000e-02 eta: 2 days, 9:39:27 time: 0.6269 data_time: 0.1200 memory: 17350 grad_norm: 5.5290 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0022 loss: 2.0022 2022/07/22 12:48:40 - mmengine - INFO - Epoch(train) [17][3220/3757] lr: 1.0000e-02 eta: 2 days, 9:39:16 time: 0.6931 data_time: 0.1506 memory: 17350 grad_norm: 5.3507 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8794 loss: 1.8794 2022/07/22 12:48:53 - mmengine - INFO - Epoch(train) [17][3240/3757] lr: 1.0000e-02 eta: 2 days, 9:39:03 time: 0.6698 data_time: 0.1381 memory: 17350 grad_norm: 5.4192 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0824 loss: 2.0824 2022/07/22 12:49:07 - mmengine - INFO - Epoch(train) [17][3260/3757] lr: 1.0000e-02 eta: 2 days, 9:38:52 time: 0.6823 data_time: 0.0376 memory: 17350 grad_norm: 5.4929 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9598 loss: 1.9598 2022/07/22 12:49:20 - mmengine - INFO - Epoch(train) [17][3280/3757] lr: 1.0000e-02 eta: 2 days, 9:38:37 time: 0.6498 data_time: 0.0941 memory: 17350 grad_norm: 5.4370 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7619 loss: 1.7619 2022/07/22 12:49:33 - mmengine - INFO - Epoch(train) [17][3300/3757] lr: 1.0000e-02 eta: 2 days, 9:38:26 time: 0.6814 data_time: 0.0810 memory: 17350 grad_norm: 5.5276 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9628 loss: 1.9628 2022/07/22 12:49:47 - mmengine - INFO - Epoch(train) [17][3320/3757] lr: 1.0000e-02 eta: 2 days, 9:38:13 time: 0.6699 data_time: 0.1832 memory: 17350 grad_norm: 5.3390 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2081 loss: 2.2081 2022/07/22 12:49:59 - mmengine - INFO - Epoch(train) [17][3340/3757] lr: 1.0000e-02 eta: 2 days, 9:37:53 time: 0.6017 data_time: 0.1112 memory: 17350 grad_norm: 5.4104 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7539 loss: 1.7539 2022/07/22 12:50:13 - mmengine - INFO - Epoch(train) [17][3360/3757] lr: 1.0000e-02 eta: 2 days, 9:37:44 time: 0.7018 data_time: 0.1496 memory: 17350 grad_norm: 5.4562 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1063 loss: 2.1063 2022/07/22 12:50:26 - mmengine - INFO - Epoch(train) [17][3380/3757] lr: 1.0000e-02 eta: 2 days, 9:37:31 time: 0.6662 data_time: 0.1244 memory: 17350 grad_norm: 5.2326 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8657 loss: 1.8657 2022/07/22 12:50:39 - mmengine - INFO - Epoch(train) [17][3400/3757] lr: 1.0000e-02 eta: 2 days, 9:37:16 time: 0.6511 data_time: 0.0854 memory: 17350 grad_norm: 5.5007 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9846 loss: 1.9846 2022/07/22 12:50:54 - mmengine - INFO - Epoch(train) [17][3420/3757] lr: 1.0000e-02 eta: 2 days, 9:37:07 time: 0.7116 data_time: 0.0668 memory: 17350 grad_norm: 5.4646 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1777 loss: 2.1777 2022/07/22 12:51:06 - mmengine - INFO - Epoch(train) [17][3440/3757] lr: 1.0000e-02 eta: 2 days, 9:36:51 time: 0.6358 data_time: 0.1193 memory: 17350 grad_norm: 5.2183 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2370 loss: 2.2370 2022/07/22 12:51:20 - mmengine - INFO - Epoch(train) [17][3460/3757] lr: 1.0000e-02 eta: 2 days, 9:36:41 time: 0.6986 data_time: 0.0834 memory: 17350 grad_norm: 5.3654 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0741 loss: 2.0741 2022/07/22 12:51:34 - mmengine - INFO - Epoch(train) [17][3480/3757] lr: 1.0000e-02 eta: 2 days, 9:36:28 time: 0.6666 data_time: 0.1879 memory: 17350 grad_norm: 5.3246 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0514 loss: 2.0514 2022/07/22 12:51:47 - mmengine - INFO - Epoch(train) [17][3500/3757] lr: 1.0000e-02 eta: 2 days, 9:36:14 time: 0.6551 data_time: 0.0781 memory: 17350 grad_norm: 5.3632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1723 loss: 2.1723 2022/07/22 12:52:00 - mmengine - INFO - Epoch(train) [17][3520/3757] lr: 1.0000e-02 eta: 2 days, 9:36:00 time: 0.6598 data_time: 0.1632 memory: 17350 grad_norm: 5.3370 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2518 loss: 2.2518 2022/07/22 12:52:13 - mmengine - INFO - Epoch(train) [17][3540/3757] lr: 1.0000e-02 eta: 2 days, 9:35:47 time: 0.6626 data_time: 0.1511 memory: 17350 grad_norm: 5.4156 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3593 loss: 2.3593 2022/07/22 12:52:26 - mmengine - INFO - Epoch(train) [17][3560/3757] lr: 1.0000e-02 eta: 2 days, 9:35:29 time: 0.6189 data_time: 0.1762 memory: 17350 grad_norm: 5.1661 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0429 loss: 2.0429 2022/07/22 12:52:40 - mmengine - INFO - Epoch(train) [17][3580/3757] lr: 1.0000e-02 eta: 2 days, 9:35:20 time: 0.7052 data_time: 0.0615 memory: 17350 grad_norm: 5.2862 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8162 loss: 1.8162 2022/07/22 12:52:52 - mmengine - INFO - Epoch(train) [17][3600/3757] lr: 1.0000e-02 eta: 2 days, 9:35:00 time: 0.5999 data_time: 0.0398 memory: 17350 grad_norm: 5.2414 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9089 loss: 1.9089 2022/07/22 12:53:06 - mmengine - INFO - Epoch(train) [17][3620/3757] lr: 1.0000e-02 eta: 2 days, 9:34:53 time: 0.7279 data_time: 0.0219 memory: 17350 grad_norm: 5.3255 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1279 loss: 2.1279 2022/07/22 12:53:19 - mmengine - INFO - Epoch(train) [17][3640/3757] lr: 1.0000e-02 eta: 2 days, 9:34:37 time: 0.6366 data_time: 0.0429 memory: 17350 grad_norm: 5.3938 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2196 loss: 2.2196 2022/07/22 12:53:33 - mmengine - INFO - Epoch(train) [17][3660/3757] lr: 1.0000e-02 eta: 2 days, 9:34:29 time: 0.7220 data_time: 0.0210 memory: 17350 grad_norm: 5.2923 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8904 loss: 1.8904 2022/07/22 12:53:45 - mmengine - INFO - Epoch(train) [17][3680/3757] lr: 1.0000e-02 eta: 2 days, 9:34:08 time: 0.5856 data_time: 0.0225 memory: 17350 grad_norm: 5.3624 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8369 loss: 1.8369 2022/07/22 12:53:59 - mmengine - INFO - Epoch(train) [17][3700/3757] lr: 1.0000e-02 eta: 2 days, 9:34:00 time: 0.7117 data_time: 0.0353 memory: 17350 grad_norm: 5.3533 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9463 loss: 1.9463 2022/07/22 12:54:12 - mmengine - INFO - Epoch(train) [17][3720/3757] lr: 1.0000e-02 eta: 2 days, 9:33:42 time: 0.6221 data_time: 0.1288 memory: 17350 grad_norm: 5.3751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9890 loss: 1.9890 2022/07/22 12:54:25 - mmengine - INFO - Epoch(train) [17][3740/3757] lr: 1.0000e-02 eta: 2 days, 9:33:30 time: 0.6798 data_time: 0.1487 memory: 17350 grad_norm: 5.3069 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9214 loss: 1.9214 2022/07/22 12:54:33 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 12:54:33 - mmengine - INFO - Epoch(train) [17][3757/3757] lr: 1.0000e-02 eta: 2 days, 9:33:30 time: 0.4863 data_time: 0.1091 memory: 17350 grad_norm: 5.4739 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.2623 loss: 2.2623 2022/07/22 12:54:50 - mmengine - INFO - Epoch(val) [17][20/310] eta: 0:04:02 time: 0.8379 data_time: 0.7244 memory: 3406 2022/07/22 12:55:01 - mmengine - INFO - Epoch(val) [17][40/310] eta: 0:02:29 time: 0.5544 data_time: 0.4397 memory: 3406 2022/07/22 12:55:16 - mmengine - INFO - Epoch(val) [17][60/310] eta: 0:03:12 time: 0.7687 data_time: 0.6543 memory: 3406 2022/07/22 12:55:27 - mmengine - INFO - Epoch(val) [17][80/310] eta: 0:02:06 time: 0.5490 data_time: 0.4371 memory: 3406 2022/07/22 12:55:42 - mmengine - INFO - Epoch(val) [17][100/310] eta: 0:02:35 time: 0.7427 data_time: 0.6296 memory: 3406 2022/07/22 12:55:53 - mmengine - INFO - Epoch(val) [17][120/310] eta: 0:01:45 time: 0.5557 data_time: 0.4432 memory: 3406 2022/07/22 12:56:09 - mmengine - INFO - Epoch(val) [17][140/310] eta: 0:02:09 time: 0.7628 data_time: 0.6468 memory: 3406 2022/07/22 12:56:19 - mmengine - INFO - Epoch(val) [17][160/310] eta: 0:01:19 time: 0.5316 data_time: 0.4199 memory: 3406 2022/07/22 12:56:34 - mmengine - INFO - Epoch(val) [17][180/310] eta: 0:01:36 time: 0.7451 data_time: 0.6335 memory: 3406 2022/07/22 12:56:45 - mmengine - INFO - Epoch(val) [17][200/310] eta: 0:01:02 time: 0.5685 data_time: 0.4569 memory: 3406 2022/07/22 12:57:01 - mmengine - INFO - Epoch(val) [17][220/310] eta: 0:01:07 time: 0.7519 data_time: 0.6392 memory: 3406 2022/07/22 12:57:12 - mmengine - INFO - Epoch(val) [17][240/310] eta: 0:00:39 time: 0.5637 data_time: 0.4513 memory: 3406 2022/07/22 12:57:28 - mmengine - INFO - Epoch(val) [17][260/310] eta: 0:00:39 time: 0.7851 data_time: 0.6672 memory: 3406 2022/07/22 12:57:39 - mmengine - INFO - Epoch(val) [17][280/310] eta: 0:00:16 time: 0.5637 data_time: 0.4505 memory: 3406 2022/07/22 12:57:54 - mmengine - INFO - Epoch(val) [17][300/310] eta: 0:00:07 time: 0.7819 data_time: 0.6692 memory: 3406 2022/07/22 12:57:59 - mmengine - INFO - Epoch(val) [17][310/310] acc/top1: 0.5420 acc/top5: 0.7927 acc/mean1: 0.5419 2022/07/22 12:58:18 - mmengine - INFO - Epoch(train) [18][20/3757] lr: 1.0000e-02 eta: 2 days, 9:32:37 time: 0.9332 data_time: 0.5138 memory: 17350 grad_norm: 5.2697 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0465 loss: 2.0465 2022/07/22 12:58:31 - mmengine - INFO - Epoch(train) [18][40/3757] lr: 1.0000e-02 eta: 2 days, 9:32:20 time: 0.6254 data_time: 0.1731 memory: 17350 grad_norm: 5.4855 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1043 loss: 2.1043 2022/07/22 12:58:45 - mmengine - INFO - Epoch(train) [18][60/3757] lr: 1.0000e-02 eta: 2 days, 9:32:12 time: 0.7178 data_time: 0.2942 memory: 17350 grad_norm: 5.3661 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9338 loss: 1.9338 2022/07/22 12:58:57 - mmengine - INFO - Epoch(train) [18][80/3757] lr: 1.0000e-02 eta: 2 days, 9:31:52 time: 0.5934 data_time: 0.2451 memory: 17350 grad_norm: 5.3597 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0076 loss: 2.0076 2022/07/22 12:59:12 - mmengine - INFO - Epoch(train) [18][100/3757] lr: 1.0000e-02 eta: 2 days, 9:31:47 time: 0.7485 data_time: 0.3762 memory: 17350 grad_norm: 5.1892 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9405 loss: 1.9405 2022/07/22 12:59:24 - mmengine - INFO - Epoch(train) [18][120/3757] lr: 1.0000e-02 eta: 2 days, 9:31:27 time: 0.5976 data_time: 0.2633 memory: 17350 grad_norm: 5.3116 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7232 loss: 1.7232 2022/07/22 12:59:33 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 12:59:38 - mmengine - INFO - Epoch(train) [18][140/3757] lr: 1.0000e-02 eta: 2 days, 9:31:21 time: 0.7382 data_time: 0.3990 memory: 17350 grad_norm: 5.5165 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3036 loss: 2.3036 2022/07/22 12:59:51 - mmengine - INFO - Epoch(train) [18][160/3757] lr: 1.0000e-02 eta: 2 days, 9:31:06 time: 0.6477 data_time: 0.2592 memory: 17350 grad_norm: 5.2796 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2200 loss: 2.2200 2022/07/22 13:00:06 - mmengine - INFO - Epoch(train) [18][180/3757] lr: 1.0000e-02 eta: 2 days, 9:30:59 time: 0.7275 data_time: 0.3982 memory: 17350 grad_norm: 5.4030 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9677 loss: 1.9677 2022/07/22 13:00:18 - mmengine - INFO - Epoch(train) [18][200/3757] lr: 1.0000e-02 eta: 2 days, 9:30:39 time: 0.6019 data_time: 0.2625 memory: 17350 grad_norm: 5.4408 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0578 loss: 2.0578 2022/07/22 13:00:32 - mmengine - INFO - Epoch(train) [18][220/3757] lr: 1.0000e-02 eta: 2 days, 9:30:31 time: 0.7189 data_time: 0.3849 memory: 17350 grad_norm: 5.4462 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1261 loss: 2.1261 2022/07/22 13:00:44 - mmengine - INFO - Epoch(train) [18][240/3757] lr: 1.0000e-02 eta: 2 days, 9:30:12 time: 0.5992 data_time: 0.2515 memory: 17350 grad_norm: 5.3932 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3247 loss: 2.3247 2022/07/22 13:00:59 - mmengine - INFO - Epoch(train) [18][260/3757] lr: 1.0000e-02 eta: 2 days, 9:30:05 time: 0.7307 data_time: 0.3462 memory: 17350 grad_norm: 5.3238 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9524 loss: 1.9524 2022/07/22 13:01:11 - mmengine - INFO - Epoch(train) [18][280/3757] lr: 1.0000e-02 eta: 2 days, 9:29:46 time: 0.6124 data_time: 0.1999 memory: 17350 grad_norm: 5.5187 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8317 loss: 1.8317 2022/07/22 13:01:25 - mmengine - INFO - Epoch(train) [18][300/3757] lr: 1.0000e-02 eta: 2 days, 9:29:35 time: 0.6801 data_time: 0.3014 memory: 17350 grad_norm: 5.4563 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0617 loss: 2.0617 2022/07/22 13:01:37 - mmengine - INFO - Epoch(train) [18][320/3757] lr: 1.0000e-02 eta: 2 days, 9:29:15 time: 0.5968 data_time: 0.2704 memory: 17350 grad_norm: 5.4944 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1768 loss: 2.1768 2022/07/22 13:01:52 - mmengine - INFO - Epoch(train) [18][340/3757] lr: 1.0000e-02 eta: 2 days, 9:29:13 time: 0.7807 data_time: 0.3492 memory: 17350 grad_norm: 5.4114 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9774 loss: 1.9774 2022/07/22 13:02:04 - mmengine - INFO - Epoch(train) [18][360/3757] lr: 1.0000e-02 eta: 2 days, 9:28:53 time: 0.5980 data_time: 0.0994 memory: 17350 grad_norm: 5.2433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9073 loss: 1.9073 2022/07/22 13:02:19 - mmengine - INFO - Epoch(train) [18][380/3757] lr: 1.0000e-02 eta: 2 days, 9:28:44 time: 0.7120 data_time: 0.0737 memory: 17350 grad_norm: 5.3839 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8758 loss: 1.8758 2022/07/22 13:02:31 - mmengine - INFO - Epoch(train) [18][400/3757] lr: 1.0000e-02 eta: 2 days, 9:28:26 time: 0.6058 data_time: 0.0283 memory: 17350 grad_norm: 5.3115 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1608 loss: 2.1608 2022/07/22 13:02:45 - mmengine - INFO - Epoch(train) [18][420/3757] lr: 1.0000e-02 eta: 2 days, 9:28:19 time: 0.7310 data_time: 0.0239 memory: 17350 grad_norm: 5.4870 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2139 loss: 2.2139 2022/07/22 13:02:58 - mmengine - INFO - Epoch(train) [18][440/3757] lr: 1.0000e-02 eta: 2 days, 9:28:01 time: 0.6210 data_time: 0.0228 memory: 17350 grad_norm: 5.2736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6881 loss: 1.6881 2022/07/22 13:03:12 - mmengine - INFO - Epoch(train) [18][460/3757] lr: 1.0000e-02 eta: 2 days, 9:27:51 time: 0.6927 data_time: 0.0233 memory: 17350 grad_norm: 5.2576 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1650 loss: 2.1650 2022/07/22 13:03:24 - mmengine - INFO - Epoch(train) [18][480/3757] lr: 1.0000e-02 eta: 2 days, 9:27:33 time: 0.6156 data_time: 0.0395 memory: 17350 grad_norm: 5.3108 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0490 loss: 2.0490 2022/07/22 13:03:38 - mmengine - INFO - Epoch(train) [18][500/3757] lr: 1.0000e-02 eta: 2 days, 9:27:25 time: 0.7213 data_time: 0.0227 memory: 17350 grad_norm: 5.3152 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0635 loss: 2.0635 2022/07/22 13:03:50 - mmengine - INFO - Epoch(train) [18][520/3757] lr: 1.0000e-02 eta: 2 days, 9:27:03 time: 0.5719 data_time: 0.0215 memory: 17350 grad_norm: 5.4240 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9958 loss: 1.9958 2022/07/22 13:04:05 - mmengine - INFO - Epoch(train) [18][540/3757] lr: 1.0000e-02 eta: 2 days, 9:26:56 time: 0.7328 data_time: 0.0474 memory: 17350 grad_norm: 5.4815 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2207 loss: 2.2207 2022/07/22 13:04:16 - mmengine - INFO - Epoch(train) [18][560/3757] lr: 1.0000e-02 eta: 2 days, 9:26:36 time: 0.5981 data_time: 0.0218 memory: 17350 grad_norm: 5.5201 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2088 loss: 2.2088 2022/07/22 13:04:31 - mmengine - INFO - Epoch(train) [18][580/3757] lr: 1.0000e-02 eta: 2 days, 9:26:30 time: 0.7347 data_time: 0.0227 memory: 17350 grad_norm: 5.3221 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1032 loss: 2.1032 2022/07/22 13:04:43 - mmengine - INFO - Epoch(train) [18][600/3757] lr: 1.0000e-02 eta: 2 days, 9:26:07 time: 0.5668 data_time: 0.0163 memory: 17350 grad_norm: 5.4120 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4255 loss: 2.4255 2022/07/22 13:04:57 - mmengine - INFO - Epoch(train) [18][620/3757] lr: 1.0000e-02 eta: 2 days, 9:25:58 time: 0.7066 data_time: 0.0445 memory: 17350 grad_norm: 5.5176 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9681 loss: 1.9681 2022/07/22 13:05:10 - mmengine - INFO - Epoch(train) [18][640/3757] lr: 1.0000e-02 eta: 2 days, 9:25:43 time: 0.6472 data_time: 0.0968 memory: 17350 grad_norm: 5.3569 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7788 loss: 1.7788 2022/07/22 13:05:24 - mmengine - INFO - Epoch(train) [18][660/3757] lr: 1.0000e-02 eta: 2 days, 9:25:35 time: 0.7244 data_time: 0.0890 memory: 17350 grad_norm: 5.5083 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0768 loss: 2.0768 2022/07/22 13:05:37 - mmengine - INFO - Epoch(train) [18][680/3757] lr: 1.0000e-02 eta: 2 days, 9:25:18 time: 0.6237 data_time: 0.0300 memory: 17350 grad_norm: 5.3323 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0323 loss: 2.0323 2022/07/22 13:05:51 - mmengine - INFO - Epoch(train) [18][700/3757] lr: 1.0000e-02 eta: 2 days, 9:25:08 time: 0.6993 data_time: 0.0218 memory: 17350 grad_norm: 5.3890 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7757 loss: 1.7757 2022/07/22 13:06:03 - mmengine - INFO - Epoch(train) [18][720/3757] lr: 1.0000e-02 eta: 2 days, 9:24:50 time: 0.6177 data_time: 0.0295 memory: 17350 grad_norm: 5.6093 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9199 loss: 1.9199 2022/07/22 13:06:17 - mmengine - INFO - Epoch(train) [18][740/3757] lr: 1.0000e-02 eta: 2 days, 9:24:43 time: 0.7219 data_time: 0.0586 memory: 17350 grad_norm: 5.5912 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1285 loss: 2.1285 2022/07/22 13:06:30 - mmengine - INFO - Epoch(train) [18][760/3757] lr: 1.0000e-02 eta: 2 days, 9:24:25 time: 0.6152 data_time: 0.0538 memory: 17350 grad_norm: 5.1979 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2012 loss: 2.2012 2022/07/22 13:06:43 - mmengine - INFO - Epoch(train) [18][780/3757] lr: 1.0000e-02 eta: 2 days, 9:24:14 time: 0.6883 data_time: 0.0216 memory: 17350 grad_norm: 5.2325 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0361 loss: 2.0361 2022/07/22 13:06:57 - mmengine - INFO - Epoch(train) [18][800/3757] lr: 1.0000e-02 eta: 2 days, 9:23:59 time: 0.6532 data_time: 0.0236 memory: 17350 grad_norm: 5.4653 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9144 loss: 1.9144 2022/07/22 13:07:10 - mmengine - INFO - Epoch(train) [18][820/3757] lr: 1.0000e-02 eta: 2 days, 9:23:47 time: 0.6766 data_time: 0.0228 memory: 17350 grad_norm: 5.4267 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9368 loss: 1.9368 2022/07/22 13:07:23 - mmengine - INFO - Epoch(train) [18][840/3757] lr: 1.0000e-02 eta: 2 days, 9:23:34 time: 0.6602 data_time: 0.0238 memory: 17350 grad_norm: 5.3895 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9270 loss: 1.9270 2022/07/22 13:07:37 - mmengine - INFO - Epoch(train) [18][860/3757] lr: 1.0000e-02 eta: 2 days, 9:23:21 time: 0.6753 data_time: 0.0244 memory: 17350 grad_norm: 5.3996 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4404 loss: 2.4404 2022/07/22 13:07:50 - mmengine - INFO - Epoch(train) [18][880/3757] lr: 1.0000e-02 eta: 2 days, 9:23:07 time: 0.6582 data_time: 0.0222 memory: 17350 grad_norm: 5.3780 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8509 loss: 1.8509 2022/07/22 13:08:03 - mmengine - INFO - Epoch(train) [18][900/3757] lr: 1.0000e-02 eta: 2 days, 9:22:54 time: 0.6585 data_time: 0.0233 memory: 17350 grad_norm: 5.4291 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8824 loss: 1.8824 2022/07/22 13:08:16 - mmengine - INFO - Epoch(train) [18][920/3757] lr: 1.0000e-02 eta: 2 days, 9:22:38 time: 0.6366 data_time: 0.0225 memory: 17350 grad_norm: 5.4687 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4938 loss: 2.4938 2022/07/22 13:08:31 - mmengine - INFO - Epoch(train) [18][940/3757] lr: 1.0000e-02 eta: 2 days, 9:22:32 time: 0.7430 data_time: 0.0218 memory: 17350 grad_norm: 5.3841 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0561 loss: 2.0561 2022/07/22 13:08:43 - mmengine - INFO - Epoch(train) [18][960/3757] lr: 1.0000e-02 eta: 2 days, 9:22:14 time: 0.6154 data_time: 0.0221 memory: 17350 grad_norm: 5.1762 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8692 loss: 1.8692 2022/07/22 13:08:57 - mmengine - INFO - Epoch(train) [18][980/3757] lr: 1.0000e-02 eta: 2 days, 9:22:05 time: 0.7056 data_time: 0.0248 memory: 17350 grad_norm: 5.3309 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1674 loss: 2.1674 2022/07/22 13:09:09 - mmengine - INFO - Epoch(train) [18][1000/3757] lr: 1.0000e-02 eta: 2 days, 9:21:46 time: 0.6090 data_time: 0.0226 memory: 17350 grad_norm: 5.4090 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1475 loss: 2.1475 2022/07/22 13:09:24 - mmengine - INFO - Epoch(train) [18][1020/3757] lr: 1.0000e-02 eta: 2 days, 9:21:38 time: 0.7230 data_time: 0.0217 memory: 17350 grad_norm: 5.2168 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0494 loss: 2.0494 2022/07/22 13:09:36 - mmengine - INFO - Epoch(train) [18][1040/3757] lr: 1.0000e-02 eta: 2 days, 9:21:21 time: 0.6236 data_time: 0.0219 memory: 17350 grad_norm: 5.3749 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1756 loss: 2.1756 2022/07/22 13:09:51 - mmengine - INFO - Epoch(train) [18][1060/3757] lr: 1.0000e-02 eta: 2 days, 9:21:13 time: 0.7182 data_time: 0.0224 memory: 17350 grad_norm: 5.4474 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2106 loss: 2.2106 2022/07/22 13:10:03 - mmengine - INFO - Epoch(train) [18][1080/3757] lr: 1.0000e-02 eta: 2 days, 9:20:54 time: 0.6004 data_time: 0.0230 memory: 17350 grad_norm: 5.1078 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8329 loss: 1.8329 2022/07/22 13:10:18 - mmengine - INFO - Epoch(train) [18][1100/3757] lr: 1.0000e-02 eta: 2 days, 9:20:51 time: 0.7744 data_time: 0.0275 memory: 17350 grad_norm: 5.3623 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1469 loss: 2.1469 2022/07/22 13:10:30 - mmengine - INFO - Epoch(train) [18][1120/3757] lr: 1.0000e-02 eta: 2 days, 9:20:30 time: 0.5839 data_time: 0.0214 memory: 17350 grad_norm: 5.1323 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7277 loss: 1.7277 2022/07/22 13:10:39 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 13:10:44 - mmengine - INFO - Epoch(train) [18][1140/3757] lr: 1.0000e-02 eta: 2 days, 9:20:23 time: 0.7293 data_time: 0.0221 memory: 17350 grad_norm: 5.4068 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2101 loss: 2.2101 2022/07/22 13:10:56 - mmengine - INFO - Epoch(train) [18][1160/3757] lr: 1.0000e-02 eta: 2 days, 9:20:01 time: 0.5753 data_time: 0.0218 memory: 17350 grad_norm: 5.3242 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8893 loss: 1.8893 2022/07/22 13:11:11 - mmengine - INFO - Epoch(train) [18][1180/3757] lr: 1.0000e-02 eta: 2 days, 9:19:56 time: 0.7522 data_time: 0.0221 memory: 17350 grad_norm: 5.1784 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9774 loss: 1.9774 2022/07/22 13:11:23 - mmengine - INFO - Epoch(train) [18][1200/3757] lr: 1.0000e-02 eta: 2 days, 9:19:38 time: 0.6119 data_time: 0.0314 memory: 17350 grad_norm: 5.3554 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8906 loss: 1.8906 2022/07/22 13:11:37 - mmengine - INFO - Epoch(train) [18][1220/3757] lr: 1.0000e-02 eta: 2 days, 9:19:29 time: 0.7119 data_time: 0.0241 memory: 17350 grad_norm: 5.4069 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0352 loss: 2.0352 2022/07/22 13:11:49 - mmengine - INFO - Epoch(train) [18][1240/3757] lr: 1.0000e-02 eta: 2 days, 9:19:09 time: 0.5916 data_time: 0.0217 memory: 17350 grad_norm: 5.4567 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0350 loss: 2.0350 2022/07/22 13:12:04 - mmengine - INFO - Epoch(train) [18][1260/3757] lr: 1.0000e-02 eta: 2 days, 9:19:02 time: 0.7339 data_time: 0.0231 memory: 17350 grad_norm: 5.3330 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9777 loss: 1.9777 2022/07/22 13:12:16 - mmengine - INFO - Epoch(train) [18][1280/3757] lr: 1.0000e-02 eta: 2 days, 9:18:42 time: 0.5910 data_time: 0.0241 memory: 17350 grad_norm: 5.4115 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7443 loss: 1.7443 2022/07/22 13:12:31 - mmengine - INFO - Epoch(train) [18][1300/3757] lr: 1.0000e-02 eta: 2 days, 9:18:36 time: 0.7405 data_time: 0.0499 memory: 17350 grad_norm: 5.4746 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4123 loss: 2.4123 2022/07/22 13:12:43 - mmengine - INFO - Epoch(train) [18][1320/3757] lr: 1.0000e-02 eta: 2 days, 9:18:19 time: 0.6269 data_time: 0.0320 memory: 17350 grad_norm: 5.5260 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1751 loss: 2.1751 2022/07/22 13:12:57 - mmengine - INFO - Epoch(train) [18][1340/3757] lr: 1.0000e-02 eta: 2 days, 9:18:10 time: 0.7082 data_time: 0.0241 memory: 17350 grad_norm: 5.3810 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0704 loss: 2.0704 2022/07/22 13:13:10 - mmengine - INFO - Epoch(train) [18][1360/3757] lr: 1.0000e-02 eta: 2 days, 9:17:52 time: 0.6181 data_time: 0.0229 memory: 17350 grad_norm: 5.3327 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8674 loss: 1.8674 2022/07/22 13:13:24 - mmengine - INFO - Epoch(train) [18][1380/3757] lr: 1.0000e-02 eta: 2 days, 9:17:43 time: 0.7085 data_time: 0.0240 memory: 17350 grad_norm: 5.3999 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8853 loss: 1.8853 2022/07/22 13:13:36 - mmengine - INFO - Epoch(train) [18][1400/3757] lr: 1.0000e-02 eta: 2 days, 9:17:24 time: 0.5989 data_time: 0.0218 memory: 17350 grad_norm: 5.5288 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1386 loss: 2.1386 2022/07/22 13:13:50 - mmengine - INFO - Epoch(train) [18][1420/3757] lr: 1.0000e-02 eta: 2 days, 9:17:16 time: 0.7300 data_time: 0.0208 memory: 17350 grad_norm: 5.4606 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2846 loss: 2.2846 2022/07/22 13:14:02 - mmengine - INFO - Epoch(train) [18][1440/3757] lr: 1.0000e-02 eta: 2 days, 9:16:56 time: 0.5932 data_time: 0.0240 memory: 17350 grad_norm: 5.3855 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8520 loss: 1.8520 2022/07/22 13:14:16 - mmengine - INFO - Epoch(train) [18][1460/3757] lr: 1.0000e-02 eta: 2 days, 9:16:46 time: 0.6935 data_time: 0.0216 memory: 17350 grad_norm: 5.4994 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3945 loss: 2.3945 2022/07/22 13:14:29 - mmengine - INFO - Epoch(train) [18][1480/3757] lr: 1.0000e-02 eta: 2 days, 9:16:30 time: 0.6329 data_time: 0.0222 memory: 17350 grad_norm: 5.4058 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0600 loss: 2.0600 2022/07/22 13:14:43 - mmengine - INFO - Epoch(train) [18][1500/3757] lr: 1.0000e-02 eta: 2 days, 9:16:20 time: 0.7075 data_time: 0.0397 memory: 17350 grad_norm: 5.3229 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1120 loss: 2.1120 2022/07/22 13:14:55 - mmengine - INFO - Epoch(train) [18][1520/3757] lr: 1.0000e-02 eta: 2 days, 9:16:02 time: 0.6092 data_time: 0.0678 memory: 17350 grad_norm: 5.3954 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0431 loss: 2.0431 2022/07/22 13:15:10 - mmengine - INFO - Epoch(train) [18][1540/3757] lr: 1.0000e-02 eta: 2 days, 9:15:56 time: 0.7410 data_time: 0.0301 memory: 17350 grad_norm: 5.5566 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0717 loss: 2.0717 2022/07/22 13:15:22 - mmengine - INFO - Epoch(train) [18][1560/3757] lr: 1.0000e-02 eta: 2 days, 9:15:38 time: 0.6194 data_time: 0.0310 memory: 17350 grad_norm: 5.3707 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8974 loss: 1.8974 2022/07/22 13:15:36 - mmengine - INFO - Epoch(train) [18][1580/3757] lr: 1.0000e-02 eta: 2 days, 9:15:28 time: 0.6916 data_time: 0.0461 memory: 17350 grad_norm: 5.2897 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9847 loss: 1.9847 2022/07/22 13:15:48 - mmengine - INFO - Epoch(train) [18][1600/3757] lr: 1.0000e-02 eta: 2 days, 9:15:06 time: 0.5741 data_time: 0.0344 memory: 17350 grad_norm: 5.4026 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9161 loss: 1.9161 2022/07/22 13:16:03 - mmengine - INFO - Epoch(train) [18][1620/3757] lr: 1.0000e-02 eta: 2 days, 9:15:00 time: 0.7431 data_time: 0.1118 memory: 17350 grad_norm: 5.5956 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0431 loss: 2.0431 2022/07/22 13:16:14 - mmengine - INFO - Epoch(train) [18][1640/3757] lr: 1.0000e-02 eta: 2 days, 9:14:39 time: 0.5870 data_time: 0.1017 memory: 17350 grad_norm: 5.5856 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9612 loss: 1.9612 2022/07/22 13:16:29 - mmengine - INFO - Epoch(train) [18][1660/3757] lr: 1.0000e-02 eta: 2 days, 9:14:34 time: 0.7462 data_time: 0.3054 memory: 17350 grad_norm: 5.2981 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7449 loss: 1.7449 2022/07/22 13:16:42 - mmengine - INFO - Epoch(train) [18][1680/3757] lr: 1.0000e-02 eta: 2 days, 9:14:16 time: 0.6192 data_time: 0.1517 memory: 17350 grad_norm: 5.6312 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0094 loss: 2.0094 2022/07/22 13:16:56 - mmengine - INFO - Epoch(train) [18][1700/3757] lr: 1.0000e-02 eta: 2 days, 9:14:10 time: 0.7340 data_time: 0.0229 memory: 17350 grad_norm: 5.3219 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9505 loss: 1.9505 2022/07/22 13:17:08 - mmengine - INFO - Epoch(train) [18][1720/3757] lr: 1.0000e-02 eta: 2 days, 9:13:49 time: 0.5900 data_time: 0.0240 memory: 17350 grad_norm: 5.3740 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0046 loss: 2.0046 2022/07/22 13:17:23 - mmengine - INFO - Epoch(train) [18][1740/3757] lr: 1.0000e-02 eta: 2 days, 9:13:44 time: 0.7501 data_time: 0.0248 memory: 17350 grad_norm: 5.4540 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0558 loss: 2.0558 2022/07/22 13:17:34 - mmengine - INFO - Epoch(train) [18][1760/3757] lr: 1.0000e-02 eta: 2 days, 9:13:21 time: 0.5662 data_time: 0.0214 memory: 17350 grad_norm: 5.2984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8624 loss: 1.8624 2022/07/22 13:17:49 - mmengine - INFO - Epoch(train) [18][1780/3757] lr: 1.0000e-02 eta: 2 days, 9:13:16 time: 0.7476 data_time: 0.0231 memory: 17350 grad_norm: 5.5132 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8460 loss: 1.8460 2022/07/22 13:18:02 - mmengine - INFO - Epoch(train) [18][1800/3757] lr: 1.0000e-02 eta: 2 days, 9:12:59 time: 0.6260 data_time: 0.0244 memory: 17350 grad_norm: 5.1525 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6814 loss: 1.6814 2022/07/22 13:18:16 - mmengine - INFO - Epoch(train) [18][1820/3757] lr: 1.0000e-02 eta: 2 days, 9:12:47 time: 0.6797 data_time: 0.0216 memory: 17350 grad_norm: 5.3495 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9118 loss: 1.9118 2022/07/22 13:18:28 - mmengine - INFO - Epoch(train) [18][1840/3757] lr: 1.0000e-02 eta: 2 days, 9:12:29 time: 0.6123 data_time: 0.0240 memory: 17350 grad_norm: 5.3594 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8312 loss: 1.8312 2022/07/22 13:18:42 - mmengine - INFO - Epoch(train) [18][1860/3757] lr: 1.0000e-02 eta: 2 days, 9:12:21 time: 0.7170 data_time: 0.0216 memory: 17350 grad_norm: 5.5912 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9657 loss: 1.9657 2022/07/22 13:18:54 - mmengine - INFO - Epoch(train) [18][1880/3757] lr: 1.0000e-02 eta: 2 days, 9:12:01 time: 0.5954 data_time: 0.0224 memory: 17350 grad_norm: 5.3956 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0531 loss: 2.0531 2022/07/22 13:19:09 - mmengine - INFO - Epoch(train) [18][1900/3757] lr: 1.0000e-02 eta: 2 days, 9:11:53 time: 0.7226 data_time: 0.0220 memory: 17350 grad_norm: 5.3287 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9043 loss: 1.9043 2022/07/22 13:19:21 - mmengine - INFO - Epoch(train) [18][1920/3757] lr: 1.0000e-02 eta: 2 days, 9:11:34 time: 0.6050 data_time: 0.0229 memory: 17350 grad_norm: 5.2942 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2021 loss: 2.2021 2022/07/22 13:19:35 - mmengine - INFO - Epoch(train) [18][1940/3757] lr: 1.0000e-02 eta: 2 days, 9:11:27 time: 0.7279 data_time: 0.0220 memory: 17350 grad_norm: 5.1489 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9692 loss: 1.9692 2022/07/22 13:19:47 - mmengine - INFO - Epoch(train) [18][1960/3757] lr: 1.0000e-02 eta: 2 days, 9:11:09 time: 0.6114 data_time: 0.0216 memory: 17350 grad_norm: 5.3258 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1646 loss: 2.1646 2022/07/22 13:20:01 - mmengine - INFO - Epoch(train) [18][1980/3757] lr: 1.0000e-02 eta: 2 days, 9:10:59 time: 0.7017 data_time: 0.0224 memory: 17350 grad_norm: 5.5949 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0854 loss: 2.0854 2022/07/22 13:20:13 - mmengine - INFO - Epoch(train) [18][2000/3757] lr: 1.0000e-02 eta: 2 days, 9:10:38 time: 0.5781 data_time: 0.0276 memory: 17350 grad_norm: 5.2578 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0055 loss: 2.0055 2022/07/22 13:20:26 - mmengine - INFO - Epoch(train) [18][2020/3757] lr: 1.0000e-02 eta: 2 days, 9:10:25 time: 0.6677 data_time: 0.0232 memory: 17350 grad_norm: 5.6172 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7913 loss: 1.7913 2022/07/22 13:20:39 - mmengine - INFO - Epoch(train) [18][2040/3757] lr: 1.0000e-02 eta: 2 days, 9:10:09 time: 0.6382 data_time: 0.0218 memory: 17350 grad_norm: 5.2299 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0238 loss: 2.0238 2022/07/22 13:20:53 - mmengine - INFO - Epoch(train) [18][2060/3757] lr: 1.0000e-02 eta: 2 days, 9:09:57 time: 0.6778 data_time: 0.0394 memory: 17350 grad_norm: 5.3346 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8365 loss: 1.8365 2022/07/22 13:21:05 - mmengine - INFO - Epoch(train) [18][2080/3757] lr: 1.0000e-02 eta: 2 days, 9:09:40 time: 0.6243 data_time: 0.0358 memory: 17350 grad_norm: 5.5211 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1149 loss: 2.1149 2022/07/22 13:21:19 - mmengine - INFO - Epoch(train) [18][2100/3757] lr: 1.0000e-02 eta: 2 days, 9:09:30 time: 0.7070 data_time: 0.0297 memory: 17350 grad_norm: 5.4490 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9941 loss: 1.9941 2022/07/22 13:21:32 - mmengine - INFO - Epoch(train) [18][2120/3757] lr: 1.0000e-02 eta: 2 days, 9:09:15 time: 0.6377 data_time: 0.0674 memory: 17350 grad_norm: 5.4006 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9392 loss: 1.9392 2022/07/22 13:21:40 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 13:21:46 - mmengine - INFO - Epoch(train) [18][2140/3757] lr: 1.0000e-02 eta: 2 days, 9:09:06 time: 0.7117 data_time: 0.0252 memory: 17350 grad_norm: 5.4763 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1020 loss: 2.1020 2022/07/22 13:21:59 - mmengine - INFO - Epoch(train) [18][2160/3757] lr: 1.0000e-02 eta: 2 days, 9:08:51 time: 0.6526 data_time: 0.0385 memory: 17350 grad_norm: 5.3558 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9429 loss: 1.9429 2022/07/22 13:22:14 - mmengine - INFO - Epoch(train) [18][2180/3757] lr: 1.0000e-02 eta: 2 days, 9:08:44 time: 0.7266 data_time: 0.0879 memory: 17350 grad_norm: 5.4398 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9788 loss: 1.9788 2022/07/22 13:22:26 - mmengine - INFO - Epoch(train) [18][2200/3757] lr: 1.0000e-02 eta: 2 days, 9:08:23 time: 0.5839 data_time: 0.0288 memory: 17350 grad_norm: 5.3486 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2367 loss: 2.2367 2022/07/22 13:22:40 - mmengine - INFO - Epoch(train) [18][2220/3757] lr: 1.0000e-02 eta: 2 days, 9:08:16 time: 0.7303 data_time: 0.0220 memory: 17350 grad_norm: 5.5207 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3313 loss: 2.3313 2022/07/22 13:22:52 - mmengine - INFO - Epoch(train) [18][2240/3757] lr: 1.0000e-02 eta: 2 days, 9:07:57 time: 0.6047 data_time: 0.0236 memory: 17350 grad_norm: 5.3040 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0206 loss: 2.0206 2022/07/22 13:23:07 - mmengine - INFO - Epoch(train) [18][2260/3757] lr: 1.0000e-02 eta: 2 days, 9:07:50 time: 0.7303 data_time: 0.0245 memory: 17350 grad_norm: 5.4439 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1539 loss: 2.1539 2022/07/22 13:23:19 - mmengine - INFO - Epoch(train) [18][2280/3757] lr: 1.0000e-02 eta: 2 days, 9:07:30 time: 0.5939 data_time: 0.0218 memory: 17350 grad_norm: 5.4586 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1752 loss: 2.1752 2022/07/22 13:23:33 - mmengine - INFO - Epoch(train) [18][2300/3757] lr: 1.0000e-02 eta: 2 days, 9:07:20 time: 0.6992 data_time: 0.0221 memory: 17350 grad_norm: 5.2080 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7784 loss: 1.7784 2022/07/22 13:23:46 - mmengine - INFO - Epoch(train) [18][2320/3757] lr: 1.0000e-02 eta: 2 days, 9:07:04 time: 0.6351 data_time: 0.0236 memory: 17350 grad_norm: 5.1051 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8380 loss: 1.8380 2022/07/22 13:23:59 - mmengine - INFO - Epoch(train) [18][2340/3757] lr: 1.0000e-02 eta: 2 days, 9:06:53 time: 0.6909 data_time: 0.0237 memory: 17350 grad_norm: 5.5637 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8476 loss: 1.8476 2022/07/22 13:24:12 - mmengine - INFO - Epoch(train) [18][2360/3757] lr: 1.0000e-02 eta: 2 days, 9:06:35 time: 0.6117 data_time: 0.0207 memory: 17350 grad_norm: 5.5650 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0200 loss: 2.0200 2022/07/22 13:24:26 - mmengine - INFO - Epoch(train) [18][2380/3757] lr: 1.0000e-02 eta: 2 days, 9:06:27 time: 0.7163 data_time: 0.0219 memory: 17350 grad_norm: 5.1675 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1210 loss: 2.1210 2022/07/22 13:24:38 - mmengine - INFO - Epoch(train) [18][2400/3757] lr: 1.0000e-02 eta: 2 days, 9:06:06 time: 0.5876 data_time: 0.0218 memory: 17350 grad_norm: 5.4205 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1446 loss: 2.1446 2022/07/22 13:24:52 - mmengine - INFO - Epoch(train) [18][2420/3757] lr: 1.0000e-02 eta: 2 days, 9:05:58 time: 0.7160 data_time: 0.0228 memory: 17350 grad_norm: 5.4550 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1772 loss: 2.1772 2022/07/22 13:25:04 - mmengine - INFO - Epoch(train) [18][2440/3757] lr: 1.0000e-02 eta: 2 days, 9:05:39 time: 0.6040 data_time: 0.0224 memory: 17350 grad_norm: 5.3129 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0031 loss: 2.0031 2022/07/22 13:25:19 - mmengine - INFO - Epoch(train) [18][2460/3757] lr: 1.0000e-02 eta: 2 days, 9:05:33 time: 0.7392 data_time: 0.0155 memory: 17350 grad_norm: 5.3390 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2626 loss: 2.2626 2022/07/22 13:25:32 - mmengine - INFO - Epoch(train) [18][2480/3757] lr: 1.0000e-02 eta: 2 days, 9:05:17 time: 0.6438 data_time: 0.0208 memory: 17350 grad_norm: 5.4633 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9372 loss: 1.9372 2022/07/22 13:25:46 - mmengine - INFO - Epoch(train) [18][2500/3757] lr: 1.0000e-02 eta: 2 days, 9:05:10 time: 0.7318 data_time: 0.1364 memory: 17350 grad_norm: 5.4414 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9562 loss: 1.9562 2022/07/22 13:25:58 - mmengine - INFO - Epoch(train) [18][2520/3757] lr: 1.0000e-02 eta: 2 days, 9:04:50 time: 0.5858 data_time: 0.1172 memory: 17350 grad_norm: 5.4479 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8618 loss: 1.8618 2022/07/22 13:26:12 - mmengine - INFO - Epoch(train) [18][2540/3757] lr: 1.0000e-02 eta: 2 days, 9:04:41 time: 0.7107 data_time: 0.1705 memory: 17350 grad_norm: 5.2086 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5740 loss: 1.5740 2022/07/22 13:26:24 - mmengine - INFO - Epoch(train) [18][2560/3757] lr: 1.0000e-02 eta: 2 days, 9:04:22 time: 0.6044 data_time: 0.1091 memory: 17350 grad_norm: 5.4291 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9756 loss: 1.9756 2022/07/22 13:26:39 - mmengine - INFO - Epoch(train) [18][2580/3757] lr: 1.0000e-02 eta: 2 days, 9:04:15 time: 0.7322 data_time: 0.1118 memory: 17350 grad_norm: 5.3362 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8737 loss: 1.8737 2022/07/22 13:26:52 - mmengine - INFO - Epoch(train) [18][2600/3757] lr: 1.0000e-02 eta: 2 days, 9:03:59 time: 0.6355 data_time: 0.0895 memory: 17350 grad_norm: 5.4354 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1530 loss: 2.1530 2022/07/22 13:27:06 - mmengine - INFO - Epoch(train) [18][2620/3757] lr: 1.0000e-02 eta: 2 days, 9:03:52 time: 0.7316 data_time: 0.0618 memory: 17350 grad_norm: 5.4703 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1908 loss: 2.1908 2022/07/22 13:27:18 - mmengine - INFO - Epoch(train) [18][2640/3757] lr: 1.0000e-02 eta: 2 days, 9:03:32 time: 0.5923 data_time: 0.0362 memory: 17350 grad_norm: 5.3941 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1001 loss: 2.1001 2022/07/22 13:27:33 - mmengine - INFO - Epoch(train) [18][2660/3757] lr: 1.0000e-02 eta: 2 days, 9:03:24 time: 0.7171 data_time: 0.0499 memory: 17350 grad_norm: 5.3562 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9864 loss: 1.9864 2022/07/22 13:27:45 - mmengine - INFO - Epoch(train) [18][2680/3757] lr: 1.0000e-02 eta: 2 days, 9:03:04 time: 0.6009 data_time: 0.0429 memory: 17350 grad_norm: 5.4223 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8933 loss: 1.8933 2022/07/22 13:27:59 - mmengine - INFO - Epoch(train) [18][2700/3757] lr: 1.0000e-02 eta: 2 days, 9:02:54 time: 0.6959 data_time: 0.1012 memory: 17350 grad_norm: 5.2875 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9938 loss: 1.9938 2022/07/22 13:28:11 - mmengine - INFO - Epoch(train) [18][2720/3757] lr: 1.0000e-02 eta: 2 days, 9:02:35 time: 0.6075 data_time: 0.0815 memory: 17350 grad_norm: 5.0554 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0320 loss: 2.0320 2022/07/22 13:28:25 - mmengine - INFO - Epoch(train) [18][2740/3757] lr: 1.0000e-02 eta: 2 days, 9:02:25 time: 0.6969 data_time: 0.0223 memory: 17350 grad_norm: 5.4884 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1279 loss: 2.1279 2022/07/22 13:28:37 - mmengine - INFO - Epoch(train) [18][2760/3757] lr: 1.0000e-02 eta: 2 days, 9:02:09 time: 0.6365 data_time: 0.0224 memory: 17350 grad_norm: 5.4441 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1829 loss: 2.1829 2022/07/22 13:28:51 - mmengine - INFO - Epoch(train) [18][2780/3757] lr: 1.0000e-02 eta: 2 days, 9:01:58 time: 0.6824 data_time: 0.0233 memory: 17350 grad_norm: 5.2091 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9628 loss: 1.9628 2022/07/22 13:29:04 - mmengine - INFO - Epoch(train) [18][2800/3757] lr: 1.0000e-02 eta: 2 days, 9:01:42 time: 0.6436 data_time: 0.0218 memory: 17350 grad_norm: 5.3971 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8180 loss: 1.8180 2022/07/22 13:29:18 - mmengine - INFO - Epoch(train) [18][2820/3757] lr: 1.0000e-02 eta: 2 days, 9:01:34 time: 0.7206 data_time: 0.0232 memory: 17350 grad_norm: 5.2690 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8908 loss: 1.8908 2022/07/22 13:29:30 - mmengine - INFO - Epoch(train) [18][2840/3757] lr: 1.0000e-02 eta: 2 days, 9:01:14 time: 0.5912 data_time: 0.0236 memory: 17350 grad_norm: 5.2383 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2481 loss: 2.2481 2022/07/22 13:29:45 - mmengine - INFO - Epoch(train) [18][2860/3757] lr: 1.0000e-02 eta: 2 days, 9:01:07 time: 0.7251 data_time: 0.0577 memory: 17350 grad_norm: 5.4464 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1242 loss: 2.1242 2022/07/22 13:29:57 - mmengine - INFO - Epoch(train) [18][2880/3757] lr: 1.0000e-02 eta: 2 days, 9:00:47 time: 0.5952 data_time: 0.0229 memory: 17350 grad_norm: 5.3789 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1162 loss: 2.1162 2022/07/22 13:30:11 - mmengine - INFO - Epoch(train) [18][2900/3757] lr: 1.0000e-02 eta: 2 days, 9:00:39 time: 0.7182 data_time: 0.0224 memory: 17350 grad_norm: 5.3568 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8588 loss: 1.8588 2022/07/22 13:30:24 - mmengine - INFO - Epoch(train) [18][2920/3757] lr: 1.0000e-02 eta: 2 days, 9:00:22 time: 0.6293 data_time: 0.0222 memory: 17350 grad_norm: 5.3419 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0145 loss: 2.0145 2022/07/22 13:30:39 - mmengine - INFO - Epoch(train) [18][2940/3757] lr: 1.0000e-02 eta: 2 days, 9:00:17 time: 0.7486 data_time: 0.0242 memory: 17350 grad_norm: 5.3125 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1579 loss: 2.1579 2022/07/22 13:30:50 - mmengine - INFO - Epoch(train) [18][2960/3757] lr: 1.0000e-02 eta: 2 days, 8:59:56 time: 0.5888 data_time: 0.0214 memory: 17350 grad_norm: 5.4020 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0064 loss: 2.0064 2022/07/22 13:31:05 - mmengine - INFO - Epoch(train) [18][2980/3757] lr: 1.0000e-02 eta: 2 days, 8:59:52 time: 0.7565 data_time: 0.0220 memory: 17350 grad_norm: 5.2424 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8536 loss: 1.8536 2022/07/22 13:31:18 - mmengine - INFO - Epoch(train) [18][3000/3757] lr: 1.0000e-02 eta: 2 days, 8:59:34 time: 0.6146 data_time: 0.0212 memory: 17350 grad_norm: 5.3280 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2674 loss: 2.2674 2022/07/22 13:31:33 - mmengine - INFO - Epoch(train) [18][3020/3757] lr: 1.0000e-02 eta: 2 days, 8:59:28 time: 0.7490 data_time: 0.0220 memory: 17350 grad_norm: 5.5584 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9952 loss: 1.9952 2022/07/22 13:31:45 - mmengine - INFO - Epoch(train) [18][3040/3757] lr: 1.0000e-02 eta: 2 days, 8:59:09 time: 0.6047 data_time: 0.0232 memory: 17350 grad_norm: 5.4531 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1841 loss: 2.1841 2022/07/22 13:31:59 - mmengine - INFO - Epoch(train) [18][3060/3757] lr: 1.0000e-02 eta: 2 days, 8:59:02 time: 0.7257 data_time: 0.0223 memory: 17350 grad_norm: 5.5165 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7124 loss: 1.7124 2022/07/22 13:32:11 - mmengine - INFO - Epoch(train) [18][3080/3757] lr: 1.0000e-02 eta: 2 days, 8:58:42 time: 0.5887 data_time: 0.0227 memory: 17350 grad_norm: 5.3637 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3539 loss: 2.3539 2022/07/22 13:32:26 - mmengine - INFO - Epoch(train) [18][3100/3757] lr: 1.0000e-02 eta: 2 days, 8:58:36 time: 0.7469 data_time: 0.0219 memory: 17350 grad_norm: 5.1949 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9317 loss: 1.9317 2022/07/22 13:32:39 - mmengine - INFO - Epoch(train) [18][3120/3757] lr: 1.0000e-02 eta: 2 days, 8:58:19 time: 0.6298 data_time: 0.0226 memory: 17350 grad_norm: 5.4932 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0060 loss: 2.0060 2022/07/22 13:32:45 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 13:32:52 - mmengine - INFO - Epoch(train) [18][3140/3757] lr: 1.0000e-02 eta: 2 days, 8:58:08 time: 0.6899 data_time: 0.0221 memory: 17350 grad_norm: 5.1863 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0571 loss: 2.0571 2022/07/22 13:33:05 - mmengine - INFO - Epoch(train) [18][3160/3757] lr: 1.0000e-02 eta: 2 days, 8:57:51 time: 0.6242 data_time: 0.0232 memory: 17350 grad_norm: 5.0584 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8283 loss: 1.8283 2022/07/22 13:33:20 - mmengine - INFO - Epoch(train) [18][3180/3757] lr: 1.0000e-02 eta: 2 days, 8:57:45 time: 0.7415 data_time: 0.0223 memory: 17350 grad_norm: 5.3556 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9630 loss: 1.9630 2022/07/22 13:33:31 - mmengine - INFO - Epoch(train) [18][3200/3757] lr: 1.0000e-02 eta: 2 days, 8:57:24 time: 0.5769 data_time: 0.0248 memory: 17350 grad_norm: 5.3647 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7563 loss: 1.7563 2022/07/22 13:33:46 - mmengine - INFO - Epoch(train) [18][3220/3757] lr: 1.0000e-02 eta: 2 days, 8:57:18 time: 0.7475 data_time: 0.0221 memory: 17350 grad_norm: 5.8870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0642 loss: 2.0642 2022/07/22 13:33:58 - mmengine - INFO - Epoch(train) [18][3240/3757] lr: 1.0000e-02 eta: 2 days, 8:56:57 time: 0.5761 data_time: 0.0215 memory: 17350 grad_norm: 5.4228 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7558 loss: 1.7558 2022/07/22 13:34:12 - mmengine - INFO - Epoch(train) [18][3260/3757] lr: 1.0000e-02 eta: 2 days, 8:56:48 time: 0.7143 data_time: 0.0211 memory: 17350 grad_norm: 5.3439 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3292 loss: 2.3292 2022/07/22 13:34:24 - mmengine - INFO - Epoch(train) [18][3280/3757] lr: 1.0000e-02 eta: 2 days, 8:56:28 time: 0.5874 data_time: 0.0223 memory: 17350 grad_norm: 5.4503 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8603 loss: 1.8603 2022/07/22 13:34:39 - mmengine - INFO - Epoch(train) [18][3300/3757] lr: 1.0000e-02 eta: 2 days, 8:56:22 time: 0.7402 data_time: 0.0220 memory: 17350 grad_norm: 5.3514 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9264 loss: 1.9264 2022/07/22 13:34:50 - mmengine - INFO - Epoch(train) [18][3320/3757] lr: 1.0000e-02 eta: 2 days, 8:56:01 time: 0.5833 data_time: 0.0223 memory: 17350 grad_norm: 5.4723 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0157 loss: 2.0157 2022/07/22 13:35:06 - mmengine - INFO - Epoch(train) [18][3340/3757] lr: 1.0000e-02 eta: 2 days, 8:55:56 time: 0.7577 data_time: 0.0223 memory: 17350 grad_norm: 5.2912 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9853 loss: 1.9853 2022/07/22 13:35:18 - mmengine - INFO - Epoch(train) [18][3360/3757] lr: 1.0000e-02 eta: 2 days, 8:55:38 time: 0.6168 data_time: 0.0226 memory: 17350 grad_norm: 5.3527 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7906 loss: 1.7906 2022/07/22 13:35:32 - mmengine - INFO - Epoch(train) [18][3380/3757] lr: 1.0000e-02 eta: 2 days, 8:55:31 time: 0.7243 data_time: 0.0224 memory: 17350 grad_norm: 5.4218 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8703 loss: 1.8703 2022/07/22 13:35:44 - mmengine - INFO - Epoch(train) [18][3400/3757] lr: 1.0000e-02 eta: 2 days, 8:55:09 time: 0.5787 data_time: 0.0245 memory: 17350 grad_norm: 5.3262 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9024 loss: 1.9024 2022/07/22 13:35:59 - mmengine - INFO - Epoch(train) [18][3420/3757] lr: 1.0000e-02 eta: 2 days, 8:55:05 time: 0.7622 data_time: 0.0227 memory: 17350 grad_norm: 5.4663 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0822 loss: 2.0822 2022/07/22 13:36:11 - mmengine - INFO - Epoch(train) [18][3440/3757] lr: 1.0000e-02 eta: 2 days, 8:54:45 time: 0.5896 data_time: 0.0256 memory: 17350 grad_norm: 5.3377 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0743 loss: 2.0743 2022/07/22 13:36:26 - mmengine - INFO - Epoch(train) [18][3460/3757] lr: 1.0000e-02 eta: 2 days, 8:54:39 time: 0.7389 data_time: 0.0211 memory: 17350 grad_norm: 5.2623 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1392 loss: 2.1392 2022/07/22 13:36:37 - mmengine - INFO - Epoch(train) [18][3480/3757] lr: 1.0000e-02 eta: 2 days, 8:54:18 time: 0.5808 data_time: 0.0238 memory: 17350 grad_norm: 5.3768 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2671 loss: 2.2671 2022/07/22 13:36:53 - mmengine - INFO - Epoch(train) [18][3500/3757] lr: 1.0000e-02 eta: 2 days, 8:54:13 time: 0.7561 data_time: 0.0222 memory: 17350 grad_norm: 5.5230 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7142 loss: 1.7142 2022/07/22 13:37:05 - mmengine - INFO - Epoch(train) [18][3520/3757] lr: 1.0000e-02 eta: 2 days, 8:53:54 time: 0.6099 data_time: 0.0239 memory: 17350 grad_norm: 5.3707 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9935 loss: 1.9935 2022/07/22 13:37:19 - mmengine - INFO - Epoch(train) [18][3540/3757] lr: 1.0000e-02 eta: 2 days, 8:53:46 time: 0.7148 data_time: 0.0211 memory: 17350 grad_norm: 5.5003 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.1458 loss: 2.1458 2022/07/22 13:37:31 - mmengine - INFO - Epoch(train) [18][3560/3757] lr: 1.0000e-02 eta: 2 days, 8:53:26 time: 0.5984 data_time: 0.0246 memory: 17350 grad_norm: 5.5345 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2357 loss: 2.2357 2022/07/22 13:37:45 - mmengine - INFO - Epoch(train) [18][3580/3757] lr: 1.0000e-02 eta: 2 days, 8:53:17 time: 0.7114 data_time: 0.0216 memory: 17350 grad_norm: 5.3753 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9756 loss: 1.9756 2022/07/22 13:37:57 - mmengine - INFO - Epoch(train) [18][3600/3757] lr: 1.0000e-02 eta: 2 days, 8:52:57 time: 0.5829 data_time: 0.0231 memory: 17350 grad_norm: 5.4296 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0995 loss: 2.0995 2022/07/22 13:38:12 - mmengine - INFO - Epoch(train) [18][3620/3757] lr: 1.0000e-02 eta: 2 days, 8:52:51 time: 0.7453 data_time: 0.0207 memory: 17350 grad_norm: 5.4956 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.2112 loss: 2.2112 2022/07/22 13:38:24 - mmengine - INFO - Epoch(train) [18][3640/3757] lr: 1.0000e-02 eta: 2 days, 8:52:31 time: 0.5911 data_time: 0.0245 memory: 17350 grad_norm: 5.3764 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7350 loss: 1.7350 2022/07/22 13:38:37 - mmengine - INFO - Epoch(train) [18][3660/3757] lr: 1.0000e-02 eta: 2 days, 8:52:19 time: 0.6754 data_time: 0.0217 memory: 17350 grad_norm: 5.4218 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1657 loss: 2.1657 2022/07/22 13:38:50 - mmengine - INFO - Epoch(train) [18][3680/3757] lr: 1.0000e-02 eta: 2 days, 8:52:02 time: 0.6306 data_time: 0.0231 memory: 17350 grad_norm: 5.4946 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0632 loss: 2.0632 2022/07/22 13:39:04 - mmengine - INFO - Epoch(train) [18][3700/3757] lr: 1.0000e-02 eta: 2 days, 8:51:54 time: 0.7163 data_time: 0.0220 memory: 17350 grad_norm: 5.4136 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9166 loss: 1.9166 2022/07/22 13:39:16 - mmengine - INFO - Epoch(train) [18][3720/3757] lr: 1.0000e-02 eta: 2 days, 8:51:35 time: 0.6089 data_time: 0.0221 memory: 17350 grad_norm: 5.4593 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0632 loss: 2.0632 2022/07/22 13:39:30 - mmengine - INFO - Epoch(train) [18][3740/3757] lr: 1.0000e-02 eta: 2 days, 8:51:24 time: 0.6903 data_time: 0.0301 memory: 17350 grad_norm: 5.5576 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0565 loss: 2.0565 2022/07/22 13:39:37 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 13:39:37 - mmengine - INFO - Epoch(train) [18][3757/3757] lr: 1.0000e-02 eta: 2 days, 8:51:24 time: 0.5240 data_time: 0.0337 memory: 17350 grad_norm: 5.5972 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.2147 loss: 2.2147 2022/07/22 13:39:54 - mmengine - INFO - Epoch(val) [18][20/310] eta: 0:04:06 time: 0.8511 data_time: 0.7366 memory: 3406 2022/07/22 13:40:06 - mmengine - INFO - Epoch(val) [18][40/310] eta: 0:02:41 time: 0.5970 data_time: 0.4852 memory: 3406 2022/07/22 13:40:22 - mmengine - INFO - Epoch(val) [18][60/310] eta: 0:03:17 time: 0.7914 data_time: 0.6790 memory: 3406 2022/07/22 13:40:32 - mmengine - INFO - Epoch(val) [18][80/310] eta: 0:01:57 time: 0.5124 data_time: 0.4000 memory: 3406 2022/07/22 13:40:48 - mmengine - INFO - Epoch(val) [18][100/310] eta: 0:02:41 time: 0.7692 data_time: 0.6498 memory: 3406 2022/07/22 13:40:59 - mmengine - INFO - Epoch(val) [18][120/310] eta: 0:01:42 time: 0.5412 data_time: 0.4305 memory: 3406 2022/07/22 13:41:14 - mmengine - INFO - Epoch(val) [18][140/310] eta: 0:02:11 time: 0.7720 data_time: 0.6586 memory: 3406 2022/07/22 13:41:25 - mmengine - INFO - Epoch(val) [18][160/310] eta: 0:01:22 time: 0.5467 data_time: 0.4353 memory: 3406 2022/07/22 13:41:40 - mmengine - INFO - Epoch(val) [18][180/310] eta: 0:01:37 time: 0.7526 data_time: 0.6390 memory: 3406 2022/07/22 13:41:51 - mmengine - INFO - Epoch(val) [18][200/310] eta: 0:01:02 time: 0.5676 data_time: 0.4551 memory: 3406 2022/07/22 13:42:06 - mmengine - INFO - Epoch(val) [18][220/310] eta: 0:01:07 time: 0.7512 data_time: 0.6386 memory: 3406 2022/07/22 13:42:18 - mmengine - INFO - Epoch(val) [18][240/310] eta: 0:00:38 time: 0.5552 data_time: 0.4414 memory: 3406 2022/07/22 13:42:33 - mmengine - INFO - Epoch(val) [18][260/310] eta: 0:00:37 time: 0.7591 data_time: 0.6468 memory: 3406 2022/07/22 13:42:44 - mmengine - INFO - Epoch(val) [18][280/310] eta: 0:00:17 time: 0.5768 data_time: 0.4634 memory: 3406 2022/07/22 13:42:58 - mmengine - INFO - Epoch(val) [18][300/310] eta: 0:00:07 time: 0.7070 data_time: 0.5935 memory: 3406 2022/07/22 13:43:03 - mmengine - INFO - Epoch(val) [18][310/310] acc/top1: 0.5591 acc/top5: 0.8047 acc/mean1: 0.5589 2022/07/22 13:43:03 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_17.pth is removed 2022/07/22 13:43:07 - mmengine - INFO - The best checkpoint with 0.5591 acc/top1 at 19 epoch is saved to best_acc/top1_epoch_19.pth. 2022/07/22 13:43:24 - mmengine - INFO - Epoch(train) [19][20/3757] lr: 1.0000e-02 eta: 2 days, 8:50:25 time: 0.8495 data_time: 0.5118 memory: 17350 grad_norm: 5.1246 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8449 loss: 1.8449 2022/07/22 13:43:36 - mmengine - INFO - Epoch(train) [19][40/3757] lr: 1.0000e-02 eta: 2 days, 8:50:06 time: 0.5939 data_time: 0.2629 memory: 17350 grad_norm: 5.3070 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0745 loss: 2.0745 2022/07/22 13:43:50 - mmengine - INFO - Epoch(train) [19][60/3757] lr: 1.0000e-02 eta: 2 days, 8:49:57 time: 0.7203 data_time: 0.3905 memory: 17350 grad_norm: 5.2202 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0935 loss: 2.0935 2022/07/22 13:44:02 - mmengine - INFO - Epoch(train) [19][80/3757] lr: 1.0000e-02 eta: 2 days, 8:49:38 time: 0.5934 data_time: 0.2624 memory: 17350 grad_norm: 5.3402 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2371 loss: 2.2371 2022/07/22 13:44:17 - mmengine - INFO - Epoch(train) [19][100/3757] lr: 1.0000e-02 eta: 2 days, 8:49:31 time: 0.7404 data_time: 0.4096 memory: 17350 grad_norm: 5.2755 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0298 loss: 2.0298 2022/07/22 13:44:28 - mmengine - INFO - Epoch(train) [19][120/3757] lr: 1.0000e-02 eta: 2 days, 8:49:10 time: 0.5796 data_time: 0.2488 memory: 17350 grad_norm: 5.3462 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9366 loss: 1.9366 2022/07/22 13:44:43 - mmengine - INFO - Epoch(train) [19][140/3757] lr: 1.0000e-02 eta: 2 days, 8:49:03 time: 0.7260 data_time: 0.3913 memory: 17350 grad_norm: 5.6493 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2656 loss: 2.2656 2022/07/22 13:44:56 - mmengine - INFO - Epoch(train) [19][160/3757] lr: 1.0000e-02 eta: 2 days, 8:48:48 time: 0.6460 data_time: 0.3101 memory: 17350 grad_norm: 5.3931 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1144 loss: 2.1144 2022/07/22 13:45:11 - mmengine - INFO - Epoch(train) [19][180/3757] lr: 1.0000e-02 eta: 2 days, 8:48:44 time: 0.7734 data_time: 0.4432 memory: 17350 grad_norm: 5.3456 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9214 loss: 1.9214 2022/07/22 13:45:23 - mmengine - INFO - Epoch(train) [19][200/3757] lr: 1.0000e-02 eta: 2 days, 8:48:22 time: 0.5661 data_time: 0.2304 memory: 17350 grad_norm: 5.4915 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0746 loss: 2.0746 2022/07/22 13:45:37 - mmengine - INFO - Epoch(train) [19][220/3757] lr: 1.0000e-02 eta: 2 days, 8:48:16 time: 0.7384 data_time: 0.4065 memory: 17350 grad_norm: 5.2696 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9297 loss: 1.9297 2022/07/22 13:45:49 - mmengine - INFO - Epoch(train) [19][240/3757] lr: 1.0000e-02 eta: 2 days, 8:47:55 time: 0.5828 data_time: 0.2512 memory: 17350 grad_norm: 5.4181 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1533 loss: 2.1533 2022/07/22 13:46:04 - mmengine - INFO - Epoch(train) [19][260/3757] lr: 1.0000e-02 eta: 2 days, 8:47:47 time: 0.7269 data_time: 0.3911 memory: 17350 grad_norm: 5.3981 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0588 loss: 2.0588 2022/07/22 13:46:16 - mmengine - INFO - Epoch(train) [19][280/3757] lr: 1.0000e-02 eta: 2 days, 8:47:30 time: 0.6238 data_time: 0.2895 memory: 17350 grad_norm: 5.5909 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1512 loss: 2.1512 2022/07/22 13:46:30 - mmengine - INFO - Epoch(train) [19][300/3757] lr: 1.0000e-02 eta: 2 days, 8:47:21 time: 0.7032 data_time: 0.3705 memory: 17350 grad_norm: 5.6205 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2872 loss: 2.2872 2022/07/22 13:46:42 - mmengine - INFO - Epoch(train) [19][320/3757] lr: 1.0000e-02 eta: 2 days, 8:47:00 time: 0.5819 data_time: 0.2530 memory: 17350 grad_norm: 5.3817 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3288 loss: 2.3288 2022/07/22 13:46:57 - mmengine - INFO - Epoch(train) [19][340/3757] lr: 1.0000e-02 eta: 2 days, 8:46:54 time: 0.7458 data_time: 0.4041 memory: 17350 grad_norm: 5.1091 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1472 loss: 2.1472 2022/07/22 13:47:09 - mmengine - INFO - Epoch(train) [19][360/3757] lr: 1.0000e-02 eta: 2 days, 8:46:34 time: 0.5903 data_time: 0.2586 memory: 17350 grad_norm: 5.5418 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9489 loss: 1.9489 2022/07/22 13:47:18 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 13:47:23 - mmengine - INFO - Epoch(train) [19][380/3757] lr: 1.0000e-02 eta: 2 days, 8:46:24 time: 0.7050 data_time: 0.3752 memory: 17350 grad_norm: 5.3142 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7279 loss: 1.7279 2022/07/22 13:47:36 - mmengine - INFO - Epoch(train) [19][400/3757] lr: 1.0000e-02 eta: 2 days, 8:46:10 time: 0.6521 data_time: 0.3125 memory: 17350 grad_norm: 5.3363 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1099 loss: 2.1099 2022/07/22 13:47:49 - mmengine - INFO - Epoch(train) [19][420/3757] lr: 1.0000e-02 eta: 2 days, 8:45:59 time: 0.6917 data_time: 0.3579 memory: 17350 grad_norm: 5.2602 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0699 loss: 2.0699 2022/07/22 13:48:01 - mmengine - INFO - Epoch(train) [19][440/3757] lr: 1.0000e-02 eta: 2 days, 8:45:39 time: 0.5848 data_time: 0.2471 memory: 17350 grad_norm: 5.5195 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9047 loss: 1.9047 2022/07/22 13:48:16 - mmengine - INFO - Epoch(train) [19][460/3757] lr: 1.0000e-02 eta: 2 days, 8:45:33 time: 0.7472 data_time: 0.4128 memory: 17350 grad_norm: 5.4444 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0668 loss: 2.0668 2022/07/22 13:48:28 - mmengine - INFO - Epoch(train) [19][480/3757] lr: 1.0000e-02 eta: 2 days, 8:45:13 time: 0.5913 data_time: 0.2600 memory: 17350 grad_norm: 5.4018 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2079 loss: 2.2079 2022/07/22 13:48:42 - mmengine - INFO - Epoch(train) [19][500/3757] lr: 1.0000e-02 eta: 2 days, 8:45:03 time: 0.7027 data_time: 0.3691 memory: 17350 grad_norm: 5.4572 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6936 loss: 1.6936 2022/07/22 13:48:54 - mmengine - INFO - Epoch(train) [19][520/3757] lr: 1.0000e-02 eta: 2 days, 8:44:46 time: 0.6207 data_time: 0.2907 memory: 17350 grad_norm: 5.3429 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9440 loss: 1.9440 2022/07/22 13:49:09 - mmengine - INFO - Epoch(train) [19][540/3757] lr: 1.0000e-02 eta: 2 days, 8:44:37 time: 0.7110 data_time: 0.3697 memory: 17350 grad_norm: 5.3502 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2611 loss: 2.2611 2022/07/22 13:49:21 - mmengine - INFO - Epoch(train) [19][560/3757] lr: 1.0000e-02 eta: 2 days, 8:44:18 time: 0.6001 data_time: 0.2691 memory: 17350 grad_norm: 5.4317 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0909 loss: 2.0909 2022/07/22 13:49:35 - mmengine - INFO - Epoch(train) [19][580/3757] lr: 1.0000e-02 eta: 2 days, 8:44:11 time: 0.7358 data_time: 0.3541 memory: 17350 grad_norm: 5.3496 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2371 loss: 2.2371 2022/07/22 13:49:48 - mmengine - INFO - Epoch(train) [19][600/3757] lr: 1.0000e-02 eta: 2 days, 8:43:54 time: 0.6229 data_time: 0.2300 memory: 17350 grad_norm: 5.4649 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0663 loss: 2.0663 2022/07/22 13:50:04 - mmengine - INFO - Epoch(train) [19][620/3757] lr: 1.0000e-02 eta: 2 days, 8:43:52 time: 0.7912 data_time: 0.1873 memory: 17350 grad_norm: 5.6151 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9290 loss: 1.9290 2022/07/22 13:50:15 - mmengine - INFO - Epoch(train) [19][640/3757] lr: 1.0000e-02 eta: 2 days, 8:43:30 time: 0.5708 data_time: 0.0249 memory: 17350 grad_norm: 5.5024 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9578 loss: 1.9578 2022/07/22 13:50:29 - mmengine - INFO - Epoch(train) [19][660/3757] lr: 1.0000e-02 eta: 2 days, 8:43:18 time: 0.6707 data_time: 0.0227 memory: 17350 grad_norm: 5.2939 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0817 loss: 2.0817 2022/07/22 13:50:41 - mmengine - INFO - Epoch(train) [19][680/3757] lr: 1.0000e-02 eta: 2 days, 8:43:03 time: 0.6432 data_time: 0.0738 memory: 17350 grad_norm: 5.1165 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0645 loss: 2.0645 2022/07/22 13:50:56 - mmengine - INFO - Epoch(train) [19][700/3757] lr: 1.0000e-02 eta: 2 days, 8:42:54 time: 0.7207 data_time: 0.0281 memory: 17350 grad_norm: 5.1283 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.8775 loss: 1.8775 2022/07/22 13:51:08 - mmengine - INFO - Epoch(train) [19][720/3757] lr: 1.0000e-02 eta: 2 days, 8:42:34 time: 0.5904 data_time: 0.0804 memory: 17350 grad_norm: 5.4708 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9465 loss: 1.9465 2022/07/22 13:51:22 - mmengine - INFO - Epoch(train) [19][740/3757] lr: 1.0000e-02 eta: 2 days, 8:42:26 time: 0.7178 data_time: 0.2692 memory: 17350 grad_norm: 5.3385 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1539 loss: 2.1539 2022/07/22 13:51:35 - mmengine - INFO - Epoch(train) [19][760/3757] lr: 1.0000e-02 eta: 2 days, 8:42:11 time: 0.6403 data_time: 0.1851 memory: 17350 grad_norm: 5.4103 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2198 loss: 2.2198 2022/07/22 13:51:49 - mmengine - INFO - Epoch(train) [19][780/3757] lr: 1.0000e-02 eta: 2 days, 8:42:03 time: 0.7241 data_time: 0.1931 memory: 17350 grad_norm: 5.4342 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0625 loss: 2.0625 2022/07/22 13:52:01 - mmengine - INFO - Epoch(train) [19][800/3757] lr: 1.0000e-02 eta: 2 days, 8:41:42 time: 0.5864 data_time: 0.1398 memory: 17350 grad_norm: 5.3542 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.4142 loss: 2.4142 2022/07/22 13:52:16 - mmengine - INFO - Epoch(train) [19][820/3757] lr: 1.0000e-02 eta: 2 days, 8:41:36 time: 0.7358 data_time: 0.2549 memory: 17350 grad_norm: 5.5394 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0570 loss: 2.0570 2022/07/22 13:52:27 - mmengine - INFO - Epoch(train) [19][840/3757] lr: 1.0000e-02 eta: 2 days, 8:41:14 time: 0.5678 data_time: 0.1623 memory: 17350 grad_norm: 5.5007 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2783 loss: 2.2783 2022/07/22 13:52:42 - mmengine - INFO - Epoch(train) [19][860/3757] lr: 1.0000e-02 eta: 2 days, 8:41:06 time: 0.7290 data_time: 0.3915 memory: 17350 grad_norm: 5.3596 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8159 loss: 1.8159 2022/07/22 13:52:54 - mmengine - INFO - Epoch(train) [19][880/3757] lr: 1.0000e-02 eta: 2 days, 8:40:50 time: 0.6378 data_time: 0.3070 memory: 17350 grad_norm: 5.2009 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1196 loss: 2.1196 2022/07/22 13:53:09 - mmengine - INFO - Epoch(train) [19][900/3757] lr: 1.0000e-02 eta: 2 days, 8:40:42 time: 0.7193 data_time: 0.3906 memory: 17350 grad_norm: 5.3520 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7680 loss: 1.7680 2022/07/22 13:53:21 - mmengine - INFO - Epoch(train) [19][920/3757] lr: 1.0000e-02 eta: 2 days, 8:40:22 time: 0.5912 data_time: 0.2617 memory: 17350 grad_norm: 5.1488 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8601 loss: 1.8601 2022/07/22 13:53:36 - mmengine - INFO - Epoch(train) [19][940/3757] lr: 1.0000e-02 eta: 2 days, 8:40:17 time: 0.7583 data_time: 0.4312 memory: 17350 grad_norm: 5.1089 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6607 loss: 1.6607 2022/07/22 13:53:48 - mmengine - INFO - Epoch(train) [19][960/3757] lr: 1.0000e-02 eta: 2 days, 8:39:58 time: 0.5922 data_time: 0.2562 memory: 17350 grad_norm: 5.6193 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1103 loss: 2.1103 2022/07/22 13:54:03 - mmengine - INFO - Epoch(train) [19][980/3757] lr: 1.0000e-02 eta: 2 days, 8:39:52 time: 0.7446 data_time: 0.4041 memory: 17350 grad_norm: 5.4412 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1875 loss: 2.1875 2022/07/22 13:54:15 - mmengine - INFO - Epoch(train) [19][1000/3757] lr: 1.0000e-02 eta: 2 days, 8:39:35 time: 0.6233 data_time: 0.2849 memory: 17350 grad_norm: 5.2643 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8403 loss: 1.8403 2022/07/22 13:54:29 - mmengine - INFO - Epoch(train) [19][1020/3757] lr: 1.0000e-02 eta: 2 days, 8:39:25 time: 0.7058 data_time: 0.3710 memory: 17350 grad_norm: 5.3090 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1574 loss: 2.1574 2022/07/22 13:54:41 - mmengine - INFO - Epoch(train) [19][1040/3757] lr: 1.0000e-02 eta: 2 days, 8:39:05 time: 0.5835 data_time: 0.2464 memory: 17350 grad_norm: 5.4554 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1635 loss: 2.1635 2022/07/22 13:54:56 - mmengine - INFO - Epoch(train) [19][1060/3757] lr: 1.0000e-02 eta: 2 days, 8:38:57 time: 0.7318 data_time: 0.4022 memory: 17350 grad_norm: 5.3506 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0685 loss: 2.0685 2022/07/22 13:55:08 - mmengine - INFO - Epoch(train) [19][1080/3757] lr: 1.0000e-02 eta: 2 days, 8:38:40 time: 0.6219 data_time: 0.2817 memory: 17350 grad_norm: 5.3183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3195 loss: 2.3195 2022/07/22 13:55:23 - mmengine - INFO - Epoch(train) [19][1100/3757] lr: 1.0000e-02 eta: 2 days, 8:38:34 time: 0.7449 data_time: 0.4033 memory: 17350 grad_norm: 5.4929 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1690 loss: 2.1690 2022/07/22 13:55:36 - mmengine - INFO - Epoch(train) [19][1120/3757] lr: 1.0000e-02 eta: 2 days, 8:38:18 time: 0.6369 data_time: 0.2972 memory: 17350 grad_norm: 5.4271 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0683 loss: 2.0683 2022/07/22 13:55:49 - mmengine - INFO - Epoch(train) [19][1140/3757] lr: 1.0000e-02 eta: 2 days, 8:38:06 time: 0.6689 data_time: 0.3405 memory: 17350 grad_norm: 5.4119 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0238 loss: 2.0238 2022/07/22 13:56:01 - mmengine - INFO - Epoch(train) [19][1160/3757] lr: 1.0000e-02 eta: 2 days, 8:37:45 time: 0.5784 data_time: 0.2455 memory: 17350 grad_norm: 5.2409 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0885 loss: 2.0885 2022/07/22 13:56:15 - mmengine - INFO - Epoch(train) [19][1180/3757] lr: 1.0000e-02 eta: 2 days, 8:37:38 time: 0.7365 data_time: 0.4078 memory: 17350 grad_norm: 5.3865 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0378 loss: 2.0378 2022/07/22 13:56:27 - mmengine - INFO - Epoch(train) [19][1200/3757] lr: 1.0000e-02 eta: 2 days, 8:37:17 time: 0.5849 data_time: 0.2561 memory: 17350 grad_norm: 5.3686 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9666 loss: 1.9666 2022/07/22 13:56:41 - mmengine - INFO - Epoch(train) [19][1220/3757] lr: 1.0000e-02 eta: 2 days, 8:37:06 time: 0.6802 data_time: 0.3459 memory: 17350 grad_norm: 5.4889 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3867 loss: 2.3867 2022/07/22 13:56:53 - mmengine - INFO - Epoch(train) [19][1240/3757] lr: 1.0000e-02 eta: 2 days, 8:36:46 time: 0.5986 data_time: 0.2536 memory: 17350 grad_norm: 5.4050 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0152 loss: 2.0152 2022/07/22 13:57:07 - mmengine - INFO - Epoch(train) [19][1260/3757] lr: 1.0000e-02 eta: 2 days, 8:36:38 time: 0.7204 data_time: 0.3857 memory: 17350 grad_norm: 5.2512 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0619 loss: 2.0619 2022/07/22 13:57:19 - mmengine - INFO - Epoch(train) [19][1280/3757] lr: 1.0000e-02 eta: 2 days, 8:36:21 time: 0.6250 data_time: 0.2230 memory: 17350 grad_norm: 5.5879 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0847 loss: 2.0847 2022/07/22 13:57:34 - mmengine - INFO - Epoch(train) [19][1300/3757] lr: 1.0000e-02 eta: 2 days, 8:36:12 time: 0.7068 data_time: 0.3280 memory: 17350 grad_norm: 5.2486 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9655 loss: 1.9655 2022/07/22 13:57:47 - mmengine - INFO - Epoch(train) [19][1320/3757] lr: 1.0000e-02 eta: 2 days, 8:35:57 time: 0.6483 data_time: 0.1860 memory: 17350 grad_norm: 5.4785 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8725 loss: 1.8725 2022/07/22 13:58:00 - mmengine - INFO - Epoch(train) [19][1340/3757] lr: 1.0000e-02 eta: 2 days, 8:35:44 time: 0.6694 data_time: 0.1533 memory: 17350 grad_norm: 5.5689 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4442 loss: 2.4442 2022/07/22 13:58:14 - mmengine - INFO - Epoch(train) [19][1360/3757] lr: 1.0000e-02 eta: 2 days, 8:35:32 time: 0.6762 data_time: 0.1330 memory: 17350 grad_norm: 5.4229 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1580 loss: 2.1580 2022/07/22 13:58:23 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 13:58:27 - mmengine - INFO - Epoch(train) [19][1380/3757] lr: 1.0000e-02 eta: 2 days, 8:35:18 time: 0.6584 data_time: 0.2089 memory: 17350 grad_norm: 5.5864 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4793 loss: 2.4793 2022/07/22 13:58:39 - mmengine - INFO - Epoch(train) [19][1400/3757] lr: 1.0000e-02 eta: 2 days, 8:35:03 time: 0.6396 data_time: 0.1635 memory: 17350 grad_norm: 5.5890 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9161 loss: 1.9161 2022/07/22 13:58:53 - mmengine - INFO - Epoch(train) [19][1420/3757] lr: 1.0000e-02 eta: 2 days, 8:34:52 time: 0.6905 data_time: 0.2630 memory: 17350 grad_norm: 5.2902 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7414 loss: 1.7414 2022/07/22 13:59:07 - mmengine - INFO - Epoch(train) [19][1440/3757] lr: 1.0000e-02 eta: 2 days, 8:34:39 time: 0.6646 data_time: 0.1954 memory: 17350 grad_norm: 5.5563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7652 loss: 1.7652 2022/07/22 13:59:20 - mmengine - INFO - Epoch(train) [19][1460/3757] lr: 1.0000e-02 eta: 2 days, 8:34:25 time: 0.6646 data_time: 0.2382 memory: 17350 grad_norm: 5.5027 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1922 loss: 2.1922 2022/07/22 13:59:33 - mmengine - INFO - Epoch(train) [19][1480/3757] lr: 1.0000e-02 eta: 2 days, 8:34:12 time: 0.6685 data_time: 0.1549 memory: 17350 grad_norm: 5.2618 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0935 loss: 2.0935 2022/07/22 13:59:47 - mmengine - INFO - Epoch(train) [19][1500/3757] lr: 1.0000e-02 eta: 2 days, 8:34:00 time: 0.6779 data_time: 0.2448 memory: 17350 grad_norm: 5.4156 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0275 loss: 2.0275 2022/07/22 14:00:00 - mmengine - INFO - Epoch(train) [19][1520/3757] lr: 1.0000e-02 eta: 2 days, 8:33:47 time: 0.6652 data_time: 0.2114 memory: 17350 grad_norm: 5.4827 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8007 loss: 1.8007 2022/07/22 14:00:14 - mmengine - INFO - Epoch(train) [19][1540/3757] lr: 1.0000e-02 eta: 2 days, 8:33:37 time: 0.7002 data_time: 0.2774 memory: 17350 grad_norm: 5.2347 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8118 loss: 1.8118 2022/07/22 14:00:28 - mmengine - INFO - Epoch(train) [19][1560/3757] lr: 1.0000e-02 eta: 2 days, 8:33:24 time: 0.6719 data_time: 0.1067 memory: 17350 grad_norm: 5.5401 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9331 loss: 1.9331 2022/07/22 14:00:41 - mmengine - INFO - Epoch(train) [19][1580/3757] lr: 1.0000e-02 eta: 2 days, 8:33:13 time: 0.6794 data_time: 0.2059 memory: 17350 grad_norm: 5.3758 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9717 loss: 1.9717 2022/07/22 14:00:53 - mmengine - INFO - Epoch(train) [19][1600/3757] lr: 1.0000e-02 eta: 2 days, 8:32:55 time: 0.6107 data_time: 0.2230 memory: 17350 grad_norm: 5.3164 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9455 loss: 1.9455 2022/07/22 14:01:08 - mmengine - INFO - Epoch(train) [19][1620/3757] lr: 1.0000e-02 eta: 2 days, 8:32:45 time: 0.7041 data_time: 0.3645 memory: 17350 grad_norm: 5.4807 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1192 loss: 2.1192 2022/07/22 14:01:19 - mmengine - INFO - Epoch(train) [19][1640/3757] lr: 1.0000e-02 eta: 2 days, 8:32:25 time: 0.5924 data_time: 0.2597 memory: 17350 grad_norm: 5.4776 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2687 loss: 2.2687 2022/07/22 14:01:34 - mmengine - INFO - Epoch(train) [19][1660/3757] lr: 1.0000e-02 eta: 2 days, 8:32:16 time: 0.7118 data_time: 0.3783 memory: 17350 grad_norm: 5.4777 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8799 loss: 1.8799 2022/07/22 14:01:46 - mmengine - INFO - Epoch(train) [19][1680/3757] lr: 1.0000e-02 eta: 2 days, 8:31:59 time: 0.6221 data_time: 0.2379 memory: 17350 grad_norm: 5.3199 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9998 loss: 1.9998 2022/07/22 14:02:00 - mmengine - INFO - Epoch(train) [19][1700/3757] lr: 1.0000e-02 eta: 2 days, 8:31:49 time: 0.6970 data_time: 0.3353 memory: 17350 grad_norm: 5.4228 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0027 loss: 2.0027 2022/07/22 14:02:12 - mmengine - INFO - Epoch(train) [19][1720/3757] lr: 1.0000e-02 eta: 2 days, 8:31:30 time: 0.6070 data_time: 0.2739 memory: 17350 grad_norm: 5.6161 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8843 loss: 1.8843 2022/07/22 14:02:27 - mmengine - INFO - Epoch(train) [19][1740/3757] lr: 1.0000e-02 eta: 2 days, 8:31:23 time: 0.7326 data_time: 0.4024 memory: 17350 grad_norm: 5.5474 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.8915 loss: 1.8915 2022/07/22 14:02:39 - mmengine - INFO - Epoch(train) [19][1760/3757] lr: 1.0000e-02 eta: 2 days, 8:31:07 time: 0.6340 data_time: 0.3031 memory: 17350 grad_norm: 5.5054 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1920 loss: 2.1920 2022/07/22 14:02:54 - mmengine - INFO - Epoch(train) [19][1780/3757] lr: 1.0000e-02 eta: 2 days, 8:30:59 time: 0.7255 data_time: 0.3917 memory: 17350 grad_norm: 5.1915 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7714 loss: 1.7714 2022/07/22 14:03:05 - mmengine - INFO - Epoch(train) [19][1800/3757] lr: 1.0000e-02 eta: 2 days, 8:30:38 time: 0.5711 data_time: 0.2380 memory: 17350 grad_norm: 5.4621 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2109 loss: 2.2109 2022/07/22 14:03:20 - mmengine - INFO - Epoch(train) [19][1820/3757] lr: 1.0000e-02 eta: 2 days, 8:30:29 time: 0.7139 data_time: 0.3546 memory: 17350 grad_norm: 5.3719 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8803 loss: 1.8803 2022/07/22 14:03:32 - mmengine - INFO - Epoch(train) [19][1840/3757] lr: 1.0000e-02 eta: 2 days, 8:30:12 time: 0.6253 data_time: 0.2357 memory: 17350 grad_norm: 5.3117 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1109 loss: 2.1109 2022/07/22 14:03:46 - mmengine - INFO - Epoch(train) [19][1860/3757] lr: 1.0000e-02 eta: 2 days, 8:30:03 time: 0.7095 data_time: 0.3507 memory: 17350 grad_norm: 5.5339 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3956 loss: 2.3956 2022/07/22 14:03:57 - mmengine - INFO - Epoch(train) [19][1880/3757] lr: 1.0000e-02 eta: 2 days, 8:29:39 time: 0.5448 data_time: 0.1407 memory: 17350 grad_norm: 5.2702 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7798 loss: 1.7798 2022/07/22 14:04:12 - mmengine - INFO - Epoch(train) [19][1900/3757] lr: 1.0000e-02 eta: 2 days, 8:29:31 time: 0.7218 data_time: 0.1540 memory: 17350 grad_norm: 5.4718 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8948 loss: 1.8948 2022/07/22 14:04:24 - mmengine - INFO - Epoch(train) [19][1920/3757] lr: 1.0000e-02 eta: 2 days, 8:29:12 time: 0.5974 data_time: 0.1307 memory: 17350 grad_norm: 5.1662 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9023 loss: 1.9023 2022/07/22 14:04:38 - mmengine - INFO - Epoch(train) [19][1940/3757] lr: 1.0000e-02 eta: 2 days, 8:29:04 time: 0.7307 data_time: 0.2697 memory: 17350 grad_norm: 5.3352 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0991 loss: 2.0991 2022/07/22 14:04:51 - mmengine - INFO - Epoch(train) [19][1960/3757] lr: 1.0000e-02 eta: 2 days, 8:28:47 time: 0.6228 data_time: 0.2048 memory: 17350 grad_norm: 5.5485 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9295 loss: 1.9295 2022/07/22 14:05:06 - mmengine - INFO - Epoch(train) [19][1980/3757] lr: 1.0000e-02 eta: 2 days, 8:28:42 time: 0.7581 data_time: 0.1559 memory: 17350 grad_norm: 5.5200 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3400 loss: 2.3400 2022/07/22 14:05:18 - mmengine - INFO - Epoch(train) [19][2000/3757] lr: 1.0000e-02 eta: 2 days, 8:28:23 time: 0.5999 data_time: 0.0746 memory: 17350 grad_norm: 5.3273 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0157 loss: 2.0157 2022/07/22 14:05:32 - mmengine - INFO - Epoch(train) [19][2020/3757] lr: 1.0000e-02 eta: 2 days, 8:28:15 time: 0.7162 data_time: 0.0808 memory: 17350 grad_norm: 5.2425 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9960 loss: 1.9960 2022/07/22 14:05:44 - mmengine - INFO - Epoch(train) [19][2040/3757] lr: 1.0000e-02 eta: 2 days, 8:27:54 time: 0.5801 data_time: 0.0854 memory: 17350 grad_norm: 5.3119 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6610 loss: 1.6610 2022/07/22 14:05:59 - mmengine - INFO - Epoch(train) [19][2060/3757] lr: 1.0000e-02 eta: 2 days, 8:27:49 time: 0.7641 data_time: 0.2051 memory: 17350 grad_norm: 5.3562 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8547 loss: 1.8547 2022/07/22 14:06:11 - mmengine - INFO - Epoch(train) [19][2080/3757] lr: 1.0000e-02 eta: 2 days, 8:27:28 time: 0.5716 data_time: 0.0677 memory: 17350 grad_norm: 5.3575 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9350 loss: 1.9350 2022/07/22 14:06:24 - mmengine - INFO - Epoch(train) [19][2100/3757] lr: 1.0000e-02 eta: 2 days, 8:27:17 time: 0.6925 data_time: 0.1323 memory: 17350 grad_norm: 5.3388 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9397 loss: 1.9397 2022/07/22 14:06:37 - mmengine - INFO - Epoch(train) [19][2120/3757] lr: 1.0000e-02 eta: 2 days, 8:27:01 time: 0.6334 data_time: 0.1253 memory: 17350 grad_norm: 5.3085 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9886 loss: 1.9886 2022/07/22 14:06:51 - mmengine - INFO - Epoch(train) [19][2140/3757] lr: 1.0000e-02 eta: 2 days, 8:26:51 time: 0.6965 data_time: 0.1648 memory: 17350 grad_norm: 5.4995 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0999 loss: 2.0999 2022/07/22 14:07:03 - mmengine - INFO - Epoch(train) [19][2160/3757] lr: 1.0000e-02 eta: 2 days, 8:26:32 time: 0.6019 data_time: 0.1238 memory: 17350 grad_norm: 5.3533 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8801 loss: 1.8801 2022/07/22 14:07:17 - mmengine - INFO - Epoch(train) [19][2180/3757] lr: 1.0000e-02 eta: 2 days, 8:26:23 time: 0.7158 data_time: 0.1627 memory: 17350 grad_norm: 5.2722 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0026 loss: 2.0026 2022/07/22 14:07:29 - mmengine - INFO - Epoch(train) [19][2200/3757] lr: 1.0000e-02 eta: 2 days, 8:26:04 time: 0.5971 data_time: 0.0703 memory: 17350 grad_norm: 5.4509 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8183 loss: 1.8183 2022/07/22 14:07:44 - mmengine - INFO - Epoch(train) [19][2220/3757] lr: 1.0000e-02 eta: 2 days, 8:25:56 time: 0.7299 data_time: 0.2891 memory: 17350 grad_norm: 5.3414 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0882 loss: 2.0882 2022/07/22 14:07:57 - mmengine - INFO - Epoch(train) [19][2240/3757] lr: 1.0000e-02 eta: 2 days, 8:25:40 time: 0.6275 data_time: 0.2762 memory: 17350 grad_norm: 5.2597 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8026 loss: 1.8026 2022/07/22 14:08:11 - mmengine - INFO - Epoch(train) [19][2260/3757] lr: 1.0000e-02 eta: 2 days, 8:25:30 time: 0.7020 data_time: 0.2775 memory: 17350 grad_norm: 5.4478 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1618 loss: 2.1618 2022/07/22 14:08:24 - mmengine - INFO - Epoch(train) [19][2280/3757] lr: 1.0000e-02 eta: 2 days, 8:25:17 time: 0.6624 data_time: 0.2407 memory: 17350 grad_norm: 5.4542 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0499 loss: 2.0499 2022/07/22 14:08:38 - mmengine - INFO - Epoch(train) [19][2300/3757] lr: 1.0000e-02 eta: 2 days, 8:25:05 time: 0.6832 data_time: 0.3161 memory: 17350 grad_norm: 5.5019 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0047 loss: 2.0047 2022/07/22 14:08:49 - mmengine - INFO - Epoch(train) [19][2320/3757] lr: 1.0000e-02 eta: 2 days, 8:24:43 time: 0.5680 data_time: 0.2077 memory: 17350 grad_norm: 5.4937 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2677 loss: 2.2677 2022/07/22 14:09:03 - mmengine - INFO - Epoch(train) [19][2340/3757] lr: 1.0000e-02 eta: 2 days, 8:24:34 time: 0.7145 data_time: 0.2764 memory: 17350 grad_norm: 5.3353 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6902 loss: 1.6902 2022/07/22 14:09:16 - mmengine - INFO - Epoch(train) [19][2360/3757] lr: 1.0000e-02 eta: 2 days, 8:24:18 time: 0.6328 data_time: 0.2668 memory: 17350 grad_norm: 5.3475 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9315 loss: 1.9315 2022/07/22 14:09:26 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 14:09:30 - mmengine - INFO - Epoch(train) [19][2380/3757] lr: 1.0000e-02 eta: 2 days, 8:24:11 time: 0.7328 data_time: 0.4008 memory: 17350 grad_norm: 5.4576 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8986 loss: 1.8986 2022/07/22 14:09:43 - mmengine - INFO - Epoch(train) [19][2400/3757] lr: 1.0000e-02 eta: 2 days, 8:23:52 time: 0.6039 data_time: 0.2781 memory: 17350 grad_norm: 5.5403 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4184 loss: 2.4184 2022/07/22 14:09:56 - mmengine - INFO - Epoch(train) [19][2420/3757] lr: 1.0000e-02 eta: 2 days, 8:23:38 time: 0.6500 data_time: 0.3286 memory: 17350 grad_norm: 5.1857 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1924 loss: 2.1924 2022/07/22 14:10:10 - mmengine - INFO - Epoch(train) [19][2440/3757] lr: 1.0000e-02 eta: 2 days, 8:23:29 time: 0.7181 data_time: 0.3936 memory: 17350 grad_norm: 5.2899 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8944 loss: 1.8944 2022/07/22 14:10:23 - mmengine - INFO - Epoch(train) [19][2460/3757] lr: 1.0000e-02 eta: 2 days, 8:23:15 time: 0.6551 data_time: 0.3305 memory: 17350 grad_norm: 5.4623 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7703 loss: 1.7703 2022/07/22 14:10:37 - mmengine - INFO - Epoch(train) [19][2480/3757] lr: 1.0000e-02 eta: 2 days, 8:23:04 time: 0.6921 data_time: 0.3514 memory: 17350 grad_norm: 5.4527 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9562 loss: 1.9562 2022/07/22 14:10:49 - mmengine - INFO - Epoch(train) [19][2500/3757] lr: 1.0000e-02 eta: 2 days, 8:22:47 time: 0.6155 data_time: 0.2913 memory: 17350 grad_norm: 5.4795 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8833 loss: 1.8833 2022/07/22 14:11:03 - mmengine - INFO - Epoch(train) [19][2520/3757] lr: 1.0000e-02 eta: 2 days, 8:22:36 time: 0.6906 data_time: 0.3316 memory: 17350 grad_norm: 5.4276 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3700 loss: 2.3700 2022/07/22 14:11:17 - mmengine - INFO - Epoch(train) [19][2540/3757] lr: 1.0000e-02 eta: 2 days, 8:22:24 time: 0.6839 data_time: 0.2340 memory: 17350 grad_norm: 5.2752 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0077 loss: 2.0077 2022/07/22 14:11:29 - mmengine - INFO - Epoch(train) [19][2560/3757] lr: 1.0000e-02 eta: 2 days, 8:22:07 time: 0.6206 data_time: 0.1644 memory: 17350 grad_norm: 5.3833 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7613 loss: 1.7613 2022/07/22 14:11:43 - mmengine - INFO - Epoch(train) [19][2580/3757] lr: 1.0000e-02 eta: 2 days, 8:21:56 time: 0.6858 data_time: 0.1525 memory: 17350 grad_norm: 5.2974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1113 loss: 2.1113 2022/07/22 14:11:56 - mmengine - INFO - Epoch(train) [19][2600/3757] lr: 1.0000e-02 eta: 2 days, 8:21:44 time: 0.6779 data_time: 0.2900 memory: 17350 grad_norm: 5.4820 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1046 loss: 2.1046 2022/07/22 14:12:09 - mmengine - INFO - Epoch(train) [19][2620/3757] lr: 1.0000e-02 eta: 2 days, 8:21:26 time: 0.6147 data_time: 0.2018 memory: 17350 grad_norm: 5.5471 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2630 loss: 2.2630 2022/07/22 14:12:22 - mmengine - INFO - Epoch(train) [19][2640/3757] lr: 1.0000e-02 eta: 2 days, 8:21:13 time: 0.6609 data_time: 0.2608 memory: 17350 grad_norm: 5.2653 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1429 loss: 2.1429 2022/07/22 14:12:34 - mmengine - INFO - Epoch(train) [19][2660/3757] lr: 1.0000e-02 eta: 2 days, 8:20:55 time: 0.6189 data_time: 0.2184 memory: 17350 grad_norm: 5.2722 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0479 loss: 2.0479 2022/07/22 14:12:48 - mmengine - INFO - Epoch(train) [19][2680/3757] lr: 1.0000e-02 eta: 2 days, 8:20:44 time: 0.6908 data_time: 0.2199 memory: 17350 grad_norm: 5.4337 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7326 loss: 1.7326 2022/07/22 14:13:01 - mmengine - INFO - Epoch(train) [19][2700/3757] lr: 1.0000e-02 eta: 2 days, 8:20:28 time: 0.6255 data_time: 0.2345 memory: 17350 grad_norm: 5.3556 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8906 loss: 1.8906 2022/07/22 14:13:15 - mmengine - INFO - Epoch(train) [19][2720/3757] lr: 1.0000e-02 eta: 2 days, 8:20:19 time: 0.7160 data_time: 0.2914 memory: 17350 grad_norm: 5.2830 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0130 loss: 2.0130 2022/07/22 14:13:28 - mmengine - INFO - Epoch(train) [19][2740/3757] lr: 1.0000e-02 eta: 2 days, 8:20:06 time: 0.6651 data_time: 0.1932 memory: 17350 grad_norm: 5.3202 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1573 loss: 2.1573 2022/07/22 14:13:42 - mmengine - INFO - Epoch(train) [19][2760/3757] lr: 1.0000e-02 eta: 2 days, 8:19:53 time: 0.6737 data_time: 0.1638 memory: 17350 grad_norm: 5.4345 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2006 loss: 2.2006 2022/07/22 14:13:55 - mmengine - INFO - Epoch(train) [19][2780/3757] lr: 1.0000e-02 eta: 2 days, 8:19:40 time: 0.6604 data_time: 0.1686 memory: 17350 grad_norm: 5.4017 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8858 loss: 1.8858 2022/07/22 14:14:09 - mmengine - INFO - Epoch(train) [19][2800/3757] lr: 1.0000e-02 eta: 2 days, 8:19:29 time: 0.6913 data_time: 0.1520 memory: 17350 grad_norm: 5.4845 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0713 loss: 2.0713 2022/07/22 14:14:22 - mmengine - INFO - Epoch(train) [19][2820/3757] lr: 1.0000e-02 eta: 2 days, 8:19:14 time: 0.6466 data_time: 0.0755 memory: 17350 grad_norm: 5.2693 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8376 loss: 1.8376 2022/07/22 14:14:36 - mmengine - INFO - Epoch(train) [19][2840/3757] lr: 1.0000e-02 eta: 2 days, 8:19:03 time: 0.6931 data_time: 0.0230 memory: 17350 grad_norm: 5.2320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8527 loss: 1.8527 2022/07/22 14:14:49 - mmengine - INFO - Epoch(train) [19][2860/3757] lr: 1.0000e-02 eta: 2 days, 8:18:50 time: 0.6612 data_time: 0.1022 memory: 17350 grad_norm: 5.2746 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7660 loss: 1.7660 2022/07/22 14:15:01 - mmengine - INFO - Epoch(train) [19][2880/3757] lr: 1.0000e-02 eta: 2 days, 8:18:33 time: 0.6273 data_time: 0.0750 memory: 17350 grad_norm: 5.2508 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7975 loss: 1.7975 2022/07/22 14:15:16 - mmengine - INFO - Epoch(train) [19][2900/3757] lr: 1.0000e-02 eta: 2 days, 8:18:26 time: 0.7375 data_time: 0.0941 memory: 17350 grad_norm: 5.4421 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0821 loss: 2.0821 2022/07/22 14:15:29 - mmengine - INFO - Epoch(train) [19][2920/3757] lr: 1.0000e-02 eta: 2 days, 8:18:11 time: 0.6413 data_time: 0.0532 memory: 17350 grad_norm: 5.3738 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8686 loss: 1.8686 2022/07/22 14:15:42 - mmengine - INFO - Epoch(train) [19][2940/3757] lr: 1.0000e-02 eta: 2 days, 8:17:58 time: 0.6695 data_time: 0.0964 memory: 17350 grad_norm: 5.4806 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1243 loss: 2.1243 2022/07/22 14:15:56 - mmengine - INFO - Epoch(train) [19][2960/3757] lr: 1.0000e-02 eta: 2 days, 8:17:45 time: 0.6637 data_time: 0.1074 memory: 17350 grad_norm: 5.3954 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8825 loss: 1.8825 2022/07/22 14:16:10 - mmengine - INFO - Epoch(train) [19][2980/3757] lr: 1.0000e-02 eta: 2 days, 8:17:36 time: 0.7213 data_time: 0.2328 memory: 17350 grad_norm: 5.2985 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9585 loss: 1.9585 2022/07/22 14:16:22 - mmengine - INFO - Epoch(train) [19][3000/3757] lr: 1.0000e-02 eta: 2 days, 8:17:18 time: 0.6034 data_time: 0.1177 memory: 17350 grad_norm: 5.3496 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1079 loss: 2.1079 2022/07/22 14:16:37 - mmengine - INFO - Epoch(train) [19][3020/3757] lr: 1.0000e-02 eta: 2 days, 8:17:11 time: 0.7374 data_time: 0.0414 memory: 17350 grad_norm: 5.2436 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1010 loss: 2.1010 2022/07/22 14:16:49 - mmengine - INFO - Epoch(train) [19][3040/3757] lr: 1.0000e-02 eta: 2 days, 8:16:50 time: 0.5803 data_time: 0.0222 memory: 17350 grad_norm: 5.4037 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9730 loss: 1.9730 2022/07/22 14:17:02 - mmengine - INFO - Epoch(train) [19][3060/3757] lr: 1.0000e-02 eta: 2 days, 8:16:38 time: 0.6780 data_time: 0.0248 memory: 17350 grad_norm: 5.4123 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2105 loss: 2.2105 2022/07/22 14:17:15 - mmengine - INFO - Epoch(train) [19][3080/3757] lr: 1.0000e-02 eta: 2 days, 8:16:23 time: 0.6401 data_time: 0.0239 memory: 17350 grad_norm: 5.4054 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8825 loss: 1.8825 2022/07/22 14:17:29 - mmengine - INFO - Epoch(train) [19][3100/3757] lr: 1.0000e-02 eta: 2 days, 8:16:14 time: 0.7157 data_time: 0.0220 memory: 17350 grad_norm: 5.3169 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2112 loss: 2.2112 2022/07/22 14:17:41 - mmengine - INFO - Epoch(train) [19][3120/3757] lr: 1.0000e-02 eta: 2 days, 8:15:56 time: 0.6044 data_time: 0.0235 memory: 17350 grad_norm: 5.2280 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0836 loss: 2.0836 2022/07/22 14:17:56 - mmengine - INFO - Epoch(train) [19][3140/3757] lr: 1.0000e-02 eta: 2 days, 8:15:48 time: 0.7268 data_time: 0.0233 memory: 17350 grad_norm: 5.3727 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0882 loss: 2.0882 2022/07/22 14:18:08 - mmengine - INFO - Epoch(train) [19][3160/3757] lr: 1.0000e-02 eta: 2 days, 8:15:28 time: 0.5913 data_time: 0.0238 memory: 17350 grad_norm: 5.5514 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1248 loss: 2.1248 2022/07/22 14:18:22 - mmengine - INFO - Epoch(train) [19][3180/3757] lr: 1.0000e-02 eta: 2 days, 8:15:18 time: 0.6964 data_time: 0.0332 memory: 17350 grad_norm: 5.5656 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8881 loss: 1.8881 2022/07/22 14:18:34 - mmengine - INFO - Epoch(train) [19][3200/3757] lr: 1.0000e-02 eta: 2 days, 8:15:00 time: 0.6164 data_time: 0.0216 memory: 17350 grad_norm: 5.4016 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0550 loss: 2.0550 2022/07/22 14:18:48 - mmengine - INFO - Epoch(train) [19][3220/3757] lr: 1.0000e-02 eta: 2 days, 8:14:52 time: 0.7256 data_time: 0.0232 memory: 17350 grad_norm: 5.3766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9729 loss: 1.9729 2022/07/22 14:19:01 - mmengine - INFO - Epoch(train) [19][3240/3757] lr: 1.0000e-02 eta: 2 days, 8:14:35 time: 0.6210 data_time: 0.0421 memory: 17350 grad_norm: 5.3701 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8587 loss: 1.8587 2022/07/22 14:19:15 - mmengine - INFO - Epoch(train) [19][3260/3757] lr: 1.0000e-02 eta: 2 days, 8:14:27 time: 0.7259 data_time: 0.0227 memory: 17350 grad_norm: 5.4839 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2176 loss: 2.2176 2022/07/22 14:19:27 - mmengine - INFO - Epoch(train) [19][3280/3757] lr: 1.0000e-02 eta: 2 days, 8:14:06 time: 0.5712 data_time: 0.0233 memory: 17350 grad_norm: 5.2552 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9273 loss: 1.9273 2022/07/22 14:19:41 - mmengine - INFO - Epoch(train) [19][3300/3757] lr: 1.0000e-02 eta: 2 days, 8:13:58 time: 0.7259 data_time: 0.0216 memory: 17350 grad_norm: 5.5363 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0236 loss: 2.0236 2022/07/22 14:19:54 - mmengine - INFO - Epoch(train) [19][3320/3757] lr: 1.0000e-02 eta: 2 days, 8:13:40 time: 0.6087 data_time: 0.0234 memory: 17350 grad_norm: 5.3095 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9785 loss: 1.9785 2022/07/22 14:20:08 - mmengine - INFO - Epoch(train) [19][3340/3757] lr: 1.0000e-02 eta: 2 days, 8:13:31 time: 0.7122 data_time: 0.0238 memory: 17350 grad_norm: 5.3416 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1782 loss: 2.1782 2022/07/22 14:20:21 - mmengine - INFO - Epoch(train) [19][3360/3757] lr: 1.0000e-02 eta: 2 days, 8:13:19 time: 0.6786 data_time: 0.0249 memory: 17350 grad_norm: 5.4736 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9719 loss: 1.9719 2022/07/22 14:20:32 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 14:20:34 - mmengine - INFO - Epoch(train) [19][3380/3757] lr: 1.0000e-02 eta: 2 days, 8:13:03 time: 0.6401 data_time: 0.0278 memory: 17350 grad_norm: 5.3258 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0557 loss: 2.0557 2022/07/22 14:20:48 - mmengine - INFO - Epoch(train) [19][3400/3757] lr: 1.0000e-02 eta: 2 days, 8:12:53 time: 0.6966 data_time: 0.0224 memory: 17350 grad_norm: 5.5940 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2613 loss: 2.2613 2022/07/22 14:21:00 - mmengine - INFO - Epoch(train) [19][3420/3757] lr: 1.0000e-02 eta: 2 days, 8:12:34 time: 0.6052 data_time: 0.0218 memory: 17350 grad_norm: 5.2233 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7287 loss: 1.7287 2022/07/22 14:21:15 - mmengine - INFO - Epoch(train) [19][3440/3757] lr: 1.0000e-02 eta: 2 days, 8:12:26 time: 0.7188 data_time: 0.0213 memory: 17350 grad_norm: 5.2964 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1558 loss: 2.1558 2022/07/22 14:21:27 - mmengine - INFO - Epoch(train) [19][3460/3757] lr: 1.0000e-02 eta: 2 days, 8:12:09 time: 0.6266 data_time: 0.0236 memory: 17350 grad_norm: 5.4127 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1037 loss: 2.1037 2022/07/22 14:21:41 - mmengine - INFO - Epoch(train) [19][3480/3757] lr: 1.0000e-02 eta: 2 days, 8:12:00 time: 0.7148 data_time: 0.0236 memory: 17350 grad_norm: 5.2981 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0137 loss: 2.0137 2022/07/22 14:21:54 - mmengine - INFO - Epoch(train) [19][3500/3757] lr: 1.0000e-02 eta: 2 days, 8:11:46 time: 0.6471 data_time: 0.0247 memory: 17350 grad_norm: 5.4438 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9400 loss: 1.9400 2022/07/22 14:22:08 - mmengine - INFO - Epoch(train) [19][3520/3757] lr: 1.0000e-02 eta: 2 days, 8:11:34 time: 0.6817 data_time: 0.0235 memory: 17350 grad_norm: 5.5875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0897 loss: 2.0897 2022/07/22 14:22:22 - mmengine - INFO - Epoch(train) [19][3540/3757] lr: 1.0000e-02 eta: 2 days, 8:11:22 time: 0.6804 data_time: 0.0214 memory: 17350 grad_norm: 5.6067 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.6699 loss: 1.6699 2022/07/22 14:22:35 - mmengine - INFO - Epoch(train) [19][3560/3757] lr: 1.0000e-02 eta: 2 days, 8:11:09 time: 0.6657 data_time: 0.0235 memory: 17350 grad_norm: 5.3945 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0868 loss: 2.0868 2022/07/22 14:22:47 - mmengine - INFO - Epoch(train) [19][3580/3757] lr: 1.0000e-02 eta: 2 days, 8:10:50 time: 0.6028 data_time: 0.0226 memory: 17350 grad_norm: 5.5043 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8652 loss: 1.8652 2022/07/22 14:23:02 - mmengine - INFO - Epoch(train) [19][3600/3757] lr: 1.0000e-02 eta: 2 days, 8:10:44 time: 0.7499 data_time: 0.0225 memory: 17350 grad_norm: 5.3586 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9870 loss: 1.9870 2022/07/22 14:23:14 - mmengine - INFO - Epoch(train) [19][3620/3757] lr: 1.0000e-02 eta: 2 days, 8:10:24 time: 0.5863 data_time: 0.0245 memory: 17350 grad_norm: 5.6233 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3917 loss: 2.3917 2022/07/22 14:23:28 - mmengine - INFO - Epoch(train) [19][3640/3757] lr: 1.0000e-02 eta: 2 days, 8:10:15 time: 0.7083 data_time: 0.0214 memory: 17350 grad_norm: 5.5213 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0497 loss: 2.0497 2022/07/22 14:23:40 - mmengine - INFO - Epoch(train) [19][3660/3757] lr: 1.0000e-02 eta: 2 days, 8:09:55 time: 0.5832 data_time: 0.0229 memory: 17350 grad_norm: 5.6440 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9520 loss: 1.9520 2022/07/22 14:23:55 - mmengine - INFO - Epoch(train) [19][3680/3757] lr: 1.0000e-02 eta: 2 days, 8:09:49 time: 0.7511 data_time: 0.0233 memory: 17350 grad_norm: 5.4127 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9816 loss: 1.9816 2022/07/22 14:24:07 - mmengine - INFO - Epoch(train) [19][3700/3757] lr: 1.0000e-02 eta: 2 days, 8:09:30 time: 0.6003 data_time: 0.0227 memory: 17350 grad_norm: 5.4194 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4587 loss: 2.4587 2022/07/22 14:24:22 - mmengine - INFO - Epoch(train) [19][3720/3757] lr: 1.0000e-02 eta: 2 days, 8:09:24 time: 0.7449 data_time: 0.0236 memory: 17350 grad_norm: 5.4830 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9401 loss: 1.9401 2022/07/22 14:24:34 - mmengine - INFO - Epoch(train) [19][3740/3757] lr: 1.0000e-02 eta: 2 days, 8:09:05 time: 0.6019 data_time: 0.0216 memory: 17350 grad_norm: 5.6270 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0091 loss: 2.0091 2022/07/22 14:24:42 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 14:24:42 - mmengine - INFO - Epoch(train) [19][3757/3757] lr: 1.0000e-02 eta: 2 days, 8:09:05 time: 0.4951 data_time: 0.0212 memory: 17350 grad_norm: 5.5110 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.1949 loss: 2.1949 2022/07/22 14:24:59 - mmengine - INFO - Epoch(val) [19][20/310] eta: 0:03:57 time: 0.8195 data_time: 0.7033 memory: 3406 2022/07/22 14:25:10 - mmengine - INFO - Epoch(val) [19][40/310] eta: 0:02:36 time: 0.5794 data_time: 0.4676 memory: 3406 2022/07/22 14:25:25 - mmengine - INFO - Epoch(val) [19][60/310] eta: 0:03:07 time: 0.7510 data_time: 0.6367 memory: 3406 2022/07/22 14:25:37 - mmengine - INFO - Epoch(val) [19][80/310] eta: 0:02:11 time: 0.5708 data_time: 0.4564 memory: 3406 2022/07/22 14:25:51 - mmengine - INFO - Epoch(val) [19][100/310] eta: 0:02:33 time: 0.7299 data_time: 0.6159 memory: 3406 2022/07/22 14:26:03 - mmengine - INFO - Epoch(val) [19][120/310] eta: 0:01:50 time: 0.5838 data_time: 0.4717 memory: 3406 2022/07/22 14:26:18 - mmengine - INFO - Epoch(val) [19][140/310] eta: 0:02:05 time: 0.7395 data_time: 0.6255 memory: 3406 2022/07/22 14:26:30 - mmengine - INFO - Epoch(val) [19][160/310] eta: 0:01:27 time: 0.5824 data_time: 0.4708 memory: 3406 2022/07/22 14:26:43 - mmengine - INFO - Epoch(val) [19][180/310] eta: 0:01:25 time: 0.6570 data_time: 0.5408 memory: 3406 2022/07/22 14:26:56 - mmengine - INFO - Epoch(val) [19][200/310] eta: 0:01:12 time: 0.6550 data_time: 0.5407 memory: 3406 2022/07/22 14:27:10 - mmengine - INFO - Epoch(val) [19][220/310] eta: 0:01:03 time: 0.7071 data_time: 0.5877 memory: 3406 2022/07/22 14:27:22 - mmengine - INFO - Epoch(val) [19][240/310] eta: 0:00:40 time: 0.5761 data_time: 0.4639 memory: 3406 2022/07/22 14:27:37 - mmengine - INFO - Epoch(val) [19][260/310] eta: 0:00:38 time: 0.7669 data_time: 0.6508 memory: 3406 2022/07/22 14:27:48 - mmengine - INFO - Epoch(val) [19][280/310] eta: 0:00:16 time: 0.5588 data_time: 0.4476 memory: 3406 2022/07/22 14:28:04 - mmengine - INFO - Epoch(val) [19][300/310] eta: 0:00:07 time: 0.7736 data_time: 0.6604 memory: 3406 2022/07/22 14:28:08 - mmengine - INFO - Epoch(val) [19][310/310] acc/top1: 0.5564 acc/top5: 0.8047 acc/mean1: 0.5562 2022/07/22 14:28:27 - mmengine - INFO - Epoch(train) [20][20/3757] lr: 1.0000e-02 eta: 2 days, 8:08:13 time: 0.9121 data_time: 0.4227 memory: 17350 grad_norm: 5.3184 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9516 loss: 1.9516 2022/07/22 14:28:40 - mmengine - INFO - Epoch(train) [20][40/3757] lr: 1.0000e-02 eta: 2 days, 8:07:58 time: 0.6352 data_time: 0.1520 memory: 17350 grad_norm: 5.2755 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0261 loss: 2.0261 2022/07/22 14:28:54 - mmengine - INFO - Epoch(train) [20][60/3757] lr: 1.0000e-02 eta: 2 days, 8:07:48 time: 0.7082 data_time: 0.1272 memory: 17350 grad_norm: 5.4553 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0079 loss: 2.0079 2022/07/22 14:29:06 - mmengine - INFO - Epoch(train) [20][80/3757] lr: 1.0000e-02 eta: 2 days, 8:07:31 time: 0.6158 data_time: 0.1505 memory: 17350 grad_norm: 5.3707 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9688 loss: 1.9688 2022/07/22 14:29:21 - mmengine - INFO - Epoch(train) [20][100/3757] lr: 1.0000e-02 eta: 2 days, 8:07:24 time: 0.7392 data_time: 0.1389 memory: 17350 grad_norm: 5.2487 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7117 loss: 1.7117 2022/07/22 14:29:33 - mmengine - INFO - Epoch(train) [20][120/3757] lr: 1.0000e-02 eta: 2 days, 8:07:05 time: 0.5967 data_time: 0.0402 memory: 17350 grad_norm: 5.3131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0383 loss: 2.0383 2022/07/22 14:29:48 - mmengine - INFO - Epoch(train) [20][140/3757] lr: 1.0000e-02 eta: 2 days, 8:06:59 time: 0.7509 data_time: 0.0248 memory: 17350 grad_norm: 5.3804 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7758 loss: 1.7758 2022/07/22 14:30:00 - mmengine - INFO - Epoch(train) [20][160/3757] lr: 1.0000e-02 eta: 2 days, 8:06:40 time: 0.5999 data_time: 0.0215 memory: 17350 grad_norm: 5.3990 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2691 loss: 2.2691 2022/07/22 14:30:15 - mmengine - INFO - Epoch(train) [20][180/3757] lr: 1.0000e-02 eta: 2 days, 8:06:34 time: 0.7492 data_time: 0.0209 memory: 17350 grad_norm: 5.3161 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8624 loss: 1.8624 2022/07/22 14:30:27 - mmengine - INFO - Epoch(train) [20][200/3757] lr: 1.0000e-02 eta: 2 days, 8:06:16 time: 0.6079 data_time: 0.0230 memory: 17350 grad_norm: 5.3160 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0694 loss: 2.0694 2022/07/22 14:30:42 - mmengine - INFO - Epoch(train) [20][220/3757] lr: 1.0000e-02 eta: 2 days, 8:06:08 time: 0.7283 data_time: 0.0250 memory: 17350 grad_norm: 5.2742 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8325 loss: 1.8325 2022/07/22 14:30:54 - mmengine - INFO - Epoch(train) [20][240/3757] lr: 1.0000e-02 eta: 2 days, 8:05:51 time: 0.6124 data_time: 0.0224 memory: 17350 grad_norm: 5.3428 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7908 loss: 1.7908 2022/07/22 14:31:08 - mmengine - INFO - Epoch(train) [20][260/3757] lr: 1.0000e-02 eta: 2 days, 8:05:41 time: 0.7089 data_time: 0.0250 memory: 17350 grad_norm: 5.3339 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9671 loss: 1.9671 2022/07/22 14:31:20 - mmengine - INFO - Epoch(train) [20][280/3757] lr: 1.0000e-02 eta: 2 days, 8:05:24 time: 0.6155 data_time: 0.0242 memory: 17350 grad_norm: 5.4075 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1576 loss: 2.1576 2022/07/22 14:31:34 - mmengine - INFO - Epoch(train) [20][300/3757] lr: 1.0000e-02 eta: 2 days, 8:05:14 time: 0.7081 data_time: 0.0224 memory: 17350 grad_norm: 5.4936 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0106 loss: 2.0106 2022/07/22 14:31:47 - mmengine - INFO - Epoch(train) [20][320/3757] lr: 1.0000e-02 eta: 2 days, 8:04:58 time: 0.6290 data_time: 0.0218 memory: 17350 grad_norm: 5.3648 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0395 loss: 2.0395 2022/07/22 14:32:02 - mmengine - INFO - Epoch(train) [20][340/3757] lr: 1.0000e-02 eta: 2 days, 8:04:52 time: 0.7470 data_time: 0.0228 memory: 17350 grad_norm: 5.3817 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0188 loss: 2.0188 2022/07/22 14:32:14 - mmengine - INFO - Epoch(train) [20][360/3757] lr: 1.0000e-02 eta: 2 days, 8:04:32 time: 0.5874 data_time: 0.0226 memory: 17350 grad_norm: 5.2695 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9604 loss: 1.9604 2022/07/22 14:32:29 - mmengine - INFO - Epoch(train) [20][380/3757] lr: 1.0000e-02 eta: 2 days, 8:04:26 time: 0.7471 data_time: 0.0270 memory: 17350 grad_norm: 5.3515 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7287 loss: 1.7287 2022/07/22 14:32:41 - mmengine - INFO - Epoch(train) [20][400/3757] lr: 1.0000e-02 eta: 2 days, 8:04:08 time: 0.6176 data_time: 0.0245 memory: 17350 grad_norm: 5.5245 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0101 loss: 2.0101 2022/07/22 14:32:54 - mmengine - INFO - Epoch(train) [20][420/3757] lr: 1.0000e-02 eta: 2 days, 8:03:55 time: 0.6629 data_time: 0.0207 memory: 17350 grad_norm: 5.4777 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8133 loss: 1.8133 2022/07/22 14:33:07 - mmengine - INFO - Epoch(train) [20][440/3757] lr: 1.0000e-02 eta: 2 days, 8:03:38 time: 0.6251 data_time: 0.0227 memory: 17350 grad_norm: 5.5163 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8919 loss: 1.8919 2022/07/22 14:33:21 - mmengine - INFO - Epoch(train) [20][460/3757] lr: 1.0000e-02 eta: 2 days, 8:03:30 time: 0.7247 data_time: 0.0226 memory: 17350 grad_norm: 5.4552 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8011 loss: 1.8011 2022/07/22 14:33:33 - mmengine - INFO - Epoch(train) [20][480/3757] lr: 1.0000e-02 eta: 2 days, 8:03:12 time: 0.6035 data_time: 0.0222 memory: 17350 grad_norm: 5.5315 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9239 loss: 1.9239 2022/07/22 14:33:48 - mmengine - INFO - Epoch(train) [20][500/3757] lr: 1.0000e-02 eta: 2 days, 8:03:04 time: 0.7269 data_time: 0.0232 memory: 17350 grad_norm: 5.1793 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1967 loss: 2.1967 2022/07/22 14:33:59 - mmengine - INFO - Epoch(train) [20][520/3757] lr: 1.0000e-02 eta: 2 days, 8:02:40 time: 0.5394 data_time: 0.0224 memory: 17350 grad_norm: 5.3176 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7632 loss: 1.7632 2022/07/22 14:34:14 - mmengine - INFO - Epoch(train) [20][540/3757] lr: 1.0000e-02 eta: 2 days, 8:02:36 time: 0.7790 data_time: 0.0280 memory: 17350 grad_norm: 5.4237 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0622 loss: 2.0622 2022/07/22 14:34:26 - mmengine - INFO - Epoch(train) [20][560/3757] lr: 1.0000e-02 eta: 2 days, 8:02:18 time: 0.6048 data_time: 0.0239 memory: 17350 grad_norm: 5.2206 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2088 loss: 2.2088 2022/07/22 14:34:40 - mmengine - INFO - Epoch(train) [20][580/3757] lr: 1.0000e-02 eta: 2 days, 8:02:06 time: 0.6822 data_time: 0.0216 memory: 17350 grad_norm: 5.2003 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9062 loss: 1.9062 2022/07/22 14:34:52 - mmengine - INFO - Epoch(train) [20][600/3757] lr: 1.0000e-02 eta: 2 days, 8:01:47 time: 0.5911 data_time: 0.0215 memory: 17350 grad_norm: 5.4665 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8582 loss: 1.8582 2022/07/22 14:35:06 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 14:35:07 - mmengine - INFO - Epoch(train) [20][620/3757] lr: 1.0000e-02 eta: 2 days, 8:01:41 time: 0.7500 data_time: 0.0231 memory: 17350 grad_norm: 5.2444 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6747 loss: 1.6747 2022/07/22 14:35:19 - mmengine - INFO - Epoch(train) [20][640/3757] lr: 1.0000e-02 eta: 2 days, 8:01:21 time: 0.5853 data_time: 0.0205 memory: 17350 grad_norm: 5.4818 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7856 loss: 1.7856 2022/07/22 14:35:33 - mmengine - INFO - Epoch(train) [20][660/3757] lr: 1.0000e-02 eta: 2 days, 8:01:13 time: 0.7239 data_time: 0.0227 memory: 17350 grad_norm: 5.5022 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1247 loss: 2.1247 2022/07/22 14:35:45 - mmengine - INFO - Epoch(train) [20][680/3757] lr: 1.0000e-02 eta: 2 days, 8:00:55 time: 0.6061 data_time: 0.0230 memory: 17350 grad_norm: 5.1441 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0420 loss: 2.0420 2022/07/22 14:36:00 - mmengine - INFO - Epoch(train) [20][700/3757] lr: 1.0000e-02 eta: 2 days, 8:00:47 time: 0.7317 data_time: 0.0212 memory: 17350 grad_norm: 5.4274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9150 loss: 1.9150 2022/07/22 14:36:12 - mmengine - INFO - Epoch(train) [20][720/3757] lr: 1.0000e-02 eta: 2 days, 8:00:29 time: 0.6114 data_time: 0.0328 memory: 17350 grad_norm: 5.2656 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0618 loss: 2.0618 2022/07/22 14:36:27 - mmengine - INFO - Epoch(train) [20][740/3757] lr: 1.0000e-02 eta: 2 days, 8:00:21 time: 0.7228 data_time: 0.0221 memory: 17350 grad_norm: 5.3595 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1283 loss: 2.1283 2022/07/22 14:36:39 - mmengine - INFO - Epoch(train) [20][760/3757] lr: 1.0000e-02 eta: 2 days, 8:00:02 time: 0.5988 data_time: 0.0222 memory: 17350 grad_norm: 5.2978 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9566 loss: 1.9566 2022/07/22 14:36:53 - mmengine - INFO - Epoch(train) [20][780/3757] lr: 1.0000e-02 eta: 2 days, 7:59:53 time: 0.7128 data_time: 0.0208 memory: 17350 grad_norm: 5.4066 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0180 loss: 2.0180 2022/07/22 14:37:05 - mmengine - INFO - Epoch(train) [20][800/3757] lr: 1.0000e-02 eta: 2 days, 7:59:35 time: 0.6113 data_time: 0.0224 memory: 17350 grad_norm: 5.4702 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4114 loss: 2.4114 2022/07/22 14:37:20 - mmengine - INFO - Epoch(train) [20][820/3757] lr: 1.0000e-02 eta: 2 days, 7:59:27 time: 0.7252 data_time: 0.0221 memory: 17350 grad_norm: 5.3182 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7709 loss: 1.7709 2022/07/22 14:37:32 - mmengine - INFO - Epoch(train) [20][840/3757] lr: 1.0000e-02 eta: 2 days, 7:59:08 time: 0.6001 data_time: 0.0246 memory: 17350 grad_norm: 5.3690 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0527 loss: 2.0527 2022/07/22 14:37:46 - mmengine - INFO - Epoch(train) [20][860/3757] lr: 1.0000e-02 eta: 2 days, 7:59:00 time: 0.7245 data_time: 0.0223 memory: 17350 grad_norm: 5.3264 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1321 loss: 2.1321 2022/07/22 14:37:58 - mmengine - INFO - Epoch(train) [20][880/3757] lr: 1.0000e-02 eta: 2 days, 7:58:40 time: 0.5817 data_time: 0.0221 memory: 17350 grad_norm: 5.6676 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0519 loss: 2.0519 2022/07/22 14:38:13 - mmengine - INFO - Epoch(train) [20][900/3757] lr: 1.0000e-02 eta: 2 days, 7:58:34 time: 0.7462 data_time: 0.0221 memory: 17350 grad_norm: 5.5500 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1286 loss: 2.1286 2022/07/22 14:38:25 - mmengine - INFO - Epoch(train) [20][920/3757] lr: 1.0000e-02 eta: 2 days, 7:58:18 time: 0.6362 data_time: 0.0227 memory: 17350 grad_norm: 5.4266 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6665 loss: 1.6665 2022/07/22 14:38:40 - mmengine - INFO - Epoch(train) [20][940/3757] lr: 1.0000e-02 eta: 2 days, 7:58:09 time: 0.7214 data_time: 0.0221 memory: 17350 grad_norm: 5.5466 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0425 loss: 2.0425 2022/07/22 14:38:51 - mmengine - INFO - Epoch(train) [20][960/3757] lr: 1.0000e-02 eta: 2 days, 7:57:49 time: 0.5831 data_time: 0.0226 memory: 17350 grad_norm: 5.2559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8218 loss: 1.8218 2022/07/22 14:39:06 - mmengine - INFO - Epoch(train) [20][980/3757] lr: 1.0000e-02 eta: 2 days, 7:57:43 time: 0.7460 data_time: 0.0217 memory: 17350 grad_norm: 5.2677 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8972 loss: 1.8972 2022/07/22 14:39:18 - mmengine - INFO - Epoch(train) [20][1000/3757] lr: 1.0000e-02 eta: 2 days, 7:57:23 time: 0.5791 data_time: 0.0220 memory: 17350 grad_norm: 5.5543 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1079 loss: 2.1079 2022/07/22 14:39:32 - mmengine - INFO - Epoch(train) [20][1020/3757] lr: 1.0000e-02 eta: 2 days, 7:57:12 time: 0.6969 data_time: 0.0219 memory: 17350 grad_norm: 5.3728 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1136 loss: 2.1136 2022/07/22 14:39:44 - mmengine - INFO - Epoch(train) [20][1040/3757] lr: 1.0000e-02 eta: 2 days, 7:56:52 time: 0.5806 data_time: 0.0225 memory: 17350 grad_norm: 5.3430 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8991 loss: 1.8991 2022/07/22 14:39:59 - mmengine - INFO - Epoch(train) [20][1060/3757] lr: 1.0000e-02 eta: 2 days, 7:56:46 time: 0.7530 data_time: 0.0241 memory: 17350 grad_norm: 5.6221 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0538 loss: 2.0538 2022/07/22 14:40:11 - mmengine - INFO - Epoch(train) [20][1080/3757] lr: 1.0000e-02 eta: 2 days, 7:56:29 time: 0.6250 data_time: 0.0223 memory: 17350 grad_norm: 5.4788 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3450 loss: 2.3450 2022/07/22 14:40:26 - mmengine - INFO - Epoch(train) [20][1100/3757] lr: 1.0000e-02 eta: 2 days, 7:56:23 time: 0.7482 data_time: 0.0228 memory: 17350 grad_norm: 5.3831 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.1944 loss: 2.1944 2022/07/22 14:40:38 - mmengine - INFO - Epoch(train) [20][1120/3757] lr: 1.0000e-02 eta: 2 days, 7:56:04 time: 0.5901 data_time: 0.0226 memory: 17350 grad_norm: 5.3648 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9317 loss: 1.9317 2022/07/22 14:40:53 - mmengine - INFO - Epoch(train) [20][1140/3757] lr: 1.0000e-02 eta: 2 days, 7:55:57 time: 0.7427 data_time: 0.0214 memory: 17350 grad_norm: 5.3540 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7235 loss: 1.7235 2022/07/22 14:41:04 - mmengine - INFO - Epoch(train) [20][1160/3757] lr: 1.0000e-02 eta: 2 days, 7:55:37 time: 0.5842 data_time: 0.0245 memory: 17350 grad_norm: 5.6706 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9799 loss: 1.9799 2022/07/22 14:41:19 - mmengine - INFO - Epoch(train) [20][1180/3757] lr: 1.0000e-02 eta: 2 days, 7:55:28 time: 0.7197 data_time: 0.0219 memory: 17350 grad_norm: 5.4427 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8273 loss: 1.8273 2022/07/22 14:41:31 - mmengine - INFO - Epoch(train) [20][1200/3757] lr: 1.0000e-02 eta: 2 days, 7:55:11 time: 0.6219 data_time: 0.0241 memory: 17350 grad_norm: 5.2432 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7922 loss: 1.7922 2022/07/22 14:41:46 - mmengine - INFO - Epoch(train) [20][1220/3757] lr: 1.0000e-02 eta: 2 days, 7:55:03 time: 0.7282 data_time: 0.0222 memory: 17350 grad_norm: 5.6467 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0333 loss: 2.0333 2022/07/22 14:41:58 - mmengine - INFO - Epoch(train) [20][1240/3757] lr: 1.0000e-02 eta: 2 days, 7:54:45 time: 0.5984 data_time: 0.0239 memory: 17350 grad_norm: 5.6717 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1592 loss: 2.1592 2022/07/22 14:42:13 - mmengine - INFO - Epoch(train) [20][1260/3757] lr: 1.0000e-02 eta: 2 days, 7:54:38 time: 0.7403 data_time: 0.0257 memory: 17350 grad_norm: 5.3897 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1463 loss: 2.1463 2022/07/22 14:42:24 - mmengine - INFO - Epoch(train) [20][1280/3757] lr: 1.0000e-02 eta: 2 days, 7:54:18 time: 0.5841 data_time: 0.0240 memory: 17350 grad_norm: 5.1995 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1068 loss: 2.1068 2022/07/22 14:42:39 - mmengine - INFO - Epoch(train) [20][1300/3757] lr: 1.0000e-02 eta: 2 days, 7:54:12 time: 0.7482 data_time: 0.0135 memory: 17350 grad_norm: 5.1032 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0546 loss: 2.0546 2022/07/22 14:42:51 - mmengine - INFO - Epoch(train) [20][1320/3757] lr: 1.0000e-02 eta: 2 days, 7:53:51 time: 0.5753 data_time: 0.0217 memory: 17350 grad_norm: 5.5068 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4202 loss: 2.4202 2022/07/22 14:43:05 - mmengine - INFO - Epoch(train) [20][1340/3757] lr: 1.0000e-02 eta: 2 days, 7:53:43 time: 0.7260 data_time: 0.0235 memory: 17350 grad_norm: 5.3316 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0008 loss: 2.0008 2022/07/22 14:43:18 - mmengine - INFO - Epoch(train) [20][1360/3757] lr: 1.0000e-02 eta: 2 days, 7:53:25 time: 0.6120 data_time: 0.0220 memory: 17350 grad_norm: 5.3729 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1007 loss: 2.1007 2022/07/22 14:43:31 - mmengine - INFO - Epoch(train) [20][1380/3757] lr: 1.0000e-02 eta: 2 days, 7:53:13 time: 0.6754 data_time: 0.0225 memory: 17350 grad_norm: 5.3604 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9413 loss: 1.9413 2022/07/22 14:43:43 - mmengine - INFO - Epoch(train) [20][1400/3757] lr: 1.0000e-02 eta: 2 days, 7:52:55 time: 0.6139 data_time: 0.0221 memory: 17350 grad_norm: 5.6086 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1269 loss: 2.1269 2022/07/22 14:43:58 - mmengine - INFO - Epoch(train) [20][1420/3757] lr: 1.0000e-02 eta: 2 days, 7:52:47 time: 0.7202 data_time: 0.0238 memory: 17350 grad_norm: 5.5380 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9447 loss: 1.9447 2022/07/22 14:44:10 - mmengine - INFO - Epoch(train) [20][1440/3757] lr: 1.0000e-02 eta: 2 days, 7:52:30 time: 0.6212 data_time: 0.0216 memory: 17350 grad_norm: 5.5774 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9950 loss: 1.9950 2022/07/22 14:44:25 - mmengine - INFO - Epoch(train) [20][1460/3757] lr: 1.0000e-02 eta: 2 days, 7:52:23 time: 0.7470 data_time: 0.0251 memory: 17350 grad_norm: 5.5303 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9657 loss: 1.9657 2022/07/22 14:44:37 - mmengine - INFO - Epoch(train) [20][1480/3757] lr: 1.0000e-02 eta: 2 days, 7:52:05 time: 0.6037 data_time: 0.0267 memory: 17350 grad_norm: 5.3171 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9280 loss: 1.9280 2022/07/22 14:44:51 - mmengine - INFO - Epoch(train) [20][1500/3757] lr: 1.0000e-02 eta: 2 days, 7:51:54 time: 0.6950 data_time: 0.0252 memory: 17350 grad_norm: 5.4492 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0325 loss: 2.0325 2022/07/22 14:45:04 - mmengine - INFO - Epoch(train) [20][1520/3757] lr: 1.0000e-02 eta: 2 days, 7:51:38 time: 0.6240 data_time: 0.0242 memory: 17350 grad_norm: 5.1750 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1094 loss: 2.1094 2022/07/22 14:45:19 - mmengine - INFO - Epoch(train) [20][1540/3757] lr: 1.0000e-02 eta: 2 days, 7:51:32 time: 0.7595 data_time: 0.0219 memory: 17350 grad_norm: 5.2047 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0930 loss: 2.0930 2022/07/22 14:45:31 - mmengine - INFO - Epoch(train) [20][1560/3757] lr: 1.0000e-02 eta: 2 days, 7:51:16 time: 0.6314 data_time: 0.0234 memory: 17350 grad_norm: 5.4170 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0008 loss: 2.0008 2022/07/22 14:45:45 - mmengine - INFO - Epoch(train) [20][1580/3757] lr: 1.0000e-02 eta: 2 days, 7:51:06 time: 0.7001 data_time: 0.0212 memory: 17350 grad_norm: 5.2647 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9317 loss: 1.9317 2022/07/22 14:45:57 - mmengine - INFO - Epoch(train) [20][1600/3757] lr: 1.0000e-02 eta: 2 days, 7:50:47 time: 0.5894 data_time: 0.0221 memory: 17350 grad_norm: 5.5851 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0718 loss: 2.0718 2022/07/22 14:46:10 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 14:46:11 - mmengine - INFO - Epoch(train) [20][1620/3757] lr: 1.0000e-02 eta: 2 days, 7:50:37 time: 0.7115 data_time: 0.0241 memory: 17350 grad_norm: 5.5767 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1939 loss: 2.1939 2022/07/22 14:46:24 - mmengine - INFO - Epoch(train) [20][1640/3757] lr: 1.0000e-02 eta: 2 days, 7:50:19 time: 0.6041 data_time: 0.0216 memory: 17350 grad_norm: 5.4086 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9953 loss: 1.9953 2022/07/22 14:46:38 - mmengine - INFO - Epoch(train) [20][1660/3757] lr: 1.0000e-02 eta: 2 days, 7:50:11 time: 0.7233 data_time: 0.0230 memory: 17350 grad_norm: 5.3376 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9291 loss: 1.9291 2022/07/22 14:46:50 - mmengine - INFO - Epoch(train) [20][1680/3757] lr: 1.0000e-02 eta: 2 days, 7:49:54 time: 0.6222 data_time: 0.0243 memory: 17350 grad_norm: 5.5178 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8909 loss: 1.8909 2022/07/22 14:47:04 - mmengine - INFO - Epoch(train) [20][1700/3757] lr: 1.0000e-02 eta: 2 days, 7:49:41 time: 0.6702 data_time: 0.0215 memory: 17350 grad_norm: 5.4344 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0601 loss: 2.0601 2022/07/22 14:47:17 - mmengine - INFO - Epoch(train) [20][1720/3757] lr: 1.0000e-02 eta: 2 days, 7:49:28 time: 0.6609 data_time: 0.0232 memory: 17350 grad_norm: 5.5676 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8977 loss: 1.8977 2022/07/22 14:47:31 - mmengine - INFO - Epoch(train) [20][1740/3757] lr: 1.0000e-02 eta: 2 days, 7:49:19 time: 0.7156 data_time: 0.0220 memory: 17350 grad_norm: 5.4071 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0505 loss: 2.0505 2022/07/22 14:47:44 - mmengine - INFO - Epoch(train) [20][1760/3757] lr: 1.0000e-02 eta: 2 days, 7:49:00 time: 0.6064 data_time: 0.0240 memory: 17350 grad_norm: 5.3078 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2896 loss: 2.2896 2022/07/22 14:47:59 - mmengine - INFO - Epoch(train) [20][1780/3757] lr: 1.0000e-02 eta: 2 days, 7:48:54 time: 0.7482 data_time: 0.0224 memory: 17350 grad_norm: 5.5304 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0163 loss: 2.0163 2022/07/22 14:48:11 - mmengine - INFO - Epoch(train) [20][1800/3757] lr: 1.0000e-02 eta: 2 days, 7:48:37 time: 0.6200 data_time: 0.0254 memory: 17350 grad_norm: 5.3616 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9394 loss: 1.9394 2022/07/22 14:48:25 - mmengine - INFO - Epoch(train) [20][1820/3757] lr: 1.0000e-02 eta: 2 days, 7:48:27 time: 0.7045 data_time: 0.0219 memory: 17350 grad_norm: 5.4950 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1219 loss: 2.1219 2022/07/22 14:48:37 - mmengine - INFO - Epoch(train) [20][1840/3757] lr: 1.0000e-02 eta: 2 days, 7:48:07 time: 0.5848 data_time: 0.0242 memory: 17350 grad_norm: 5.5391 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8318 loss: 1.8318 2022/07/22 14:48:52 - mmengine - INFO - Epoch(train) [20][1860/3757] lr: 1.0000e-02 eta: 2 days, 7:48:04 time: 0.7785 data_time: 0.0214 memory: 17350 grad_norm: 5.5132 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2278 loss: 2.2278 2022/07/22 14:49:05 - mmengine - INFO - Epoch(train) [20][1880/3757] lr: 1.0000e-02 eta: 2 days, 7:47:46 time: 0.6141 data_time: 0.0220 memory: 17350 grad_norm: 5.2265 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0436 loss: 2.0436 2022/07/22 14:49:19 - mmengine - INFO - Epoch(train) [20][1900/3757] lr: 1.0000e-02 eta: 2 days, 7:47:36 time: 0.7052 data_time: 0.0238 memory: 17350 grad_norm: 5.4533 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7775 loss: 1.7775 2022/07/22 14:49:32 - mmengine - INFO - Epoch(train) [20][1920/3757] lr: 1.0000e-02 eta: 2 days, 7:47:21 time: 0.6442 data_time: 0.0295 memory: 17350 grad_norm: 5.3407 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9018 loss: 1.9018 2022/07/22 14:49:46 - mmengine - INFO - Epoch(train) [20][1940/3757] lr: 1.0000e-02 eta: 2 days, 7:47:13 time: 0.7198 data_time: 0.0216 memory: 17350 grad_norm: 5.3511 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6955 loss: 1.6955 2022/07/22 14:49:58 - mmengine - INFO - Epoch(train) [20][1960/3757] lr: 1.0000e-02 eta: 2 days, 7:46:53 time: 0.5869 data_time: 0.0240 memory: 17350 grad_norm: 5.5274 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1010 loss: 2.1010 2022/07/22 14:50:13 - mmengine - INFO - Epoch(train) [20][1980/3757] lr: 1.0000e-02 eta: 2 days, 7:46:48 time: 0.7665 data_time: 0.0215 memory: 17350 grad_norm: 5.4304 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8595 loss: 1.8595 2022/07/22 14:50:25 - mmengine - INFO - Epoch(train) [20][2000/3757] lr: 1.0000e-02 eta: 2 days, 7:46:28 time: 0.5850 data_time: 0.0227 memory: 17350 grad_norm: 5.5136 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8211 loss: 1.8211 2022/07/22 14:50:39 - mmengine - INFO - Epoch(train) [20][2020/3757] lr: 1.0000e-02 eta: 2 days, 7:46:18 time: 0.7045 data_time: 0.0213 memory: 17350 grad_norm: 5.4934 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0897 loss: 2.0897 2022/07/22 14:50:51 - mmengine - INFO - Epoch(train) [20][2040/3757] lr: 1.0000e-02 eta: 2 days, 7:46:00 time: 0.5978 data_time: 0.0248 memory: 17350 grad_norm: 5.3704 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6798 loss: 1.6798 2022/07/22 14:51:05 - mmengine - INFO - Epoch(train) [20][2060/3757] lr: 1.0000e-02 eta: 2 days, 7:45:51 time: 0.7228 data_time: 0.0214 memory: 17350 grad_norm: 5.2721 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6987 loss: 1.6987 2022/07/22 14:51:17 - mmengine - INFO - Epoch(train) [20][2080/3757] lr: 1.0000e-02 eta: 2 days, 7:45:33 time: 0.6079 data_time: 0.0228 memory: 17350 grad_norm: 5.5867 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1692 loss: 2.1692 2022/07/22 14:51:32 - mmengine - INFO - Epoch(train) [20][2100/3757] lr: 1.0000e-02 eta: 2 days, 7:45:27 time: 0.7489 data_time: 0.0206 memory: 17350 grad_norm: 5.6378 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9864 loss: 1.9864 2022/07/22 14:51:44 - mmengine - INFO - Epoch(train) [20][2120/3757] lr: 1.0000e-02 eta: 2 days, 7:45:06 time: 0.5686 data_time: 0.0232 memory: 17350 grad_norm: 5.3514 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1089 loss: 2.1089 2022/07/22 14:51:58 - mmengine - INFO - Epoch(train) [20][2140/3757] lr: 1.0000e-02 eta: 2 days, 7:44:57 time: 0.7175 data_time: 0.0221 memory: 17350 grad_norm: 5.2308 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8800 loss: 1.8800 2022/07/22 14:52:10 - mmengine - INFO - Epoch(train) [20][2160/3757] lr: 1.0000e-02 eta: 2 days, 7:44:39 time: 0.6112 data_time: 0.0254 memory: 17350 grad_norm: 5.3126 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2533 loss: 2.2533 2022/07/22 14:52:25 - mmengine - INFO - Epoch(train) [20][2180/3757] lr: 1.0000e-02 eta: 2 days, 7:44:30 time: 0.7073 data_time: 0.0217 memory: 17350 grad_norm: 5.2278 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0231 loss: 2.0231 2022/07/22 14:52:36 - mmengine - INFO - Epoch(train) [20][2200/3757] lr: 1.0000e-02 eta: 2 days, 7:44:10 time: 0.5824 data_time: 0.0266 memory: 17350 grad_norm: 5.2717 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9223 loss: 1.9223 2022/07/22 14:52:51 - mmengine - INFO - Epoch(train) [20][2220/3757] lr: 1.0000e-02 eta: 2 days, 7:44:02 time: 0.7365 data_time: 0.0213 memory: 17350 grad_norm: 5.3403 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0715 loss: 2.0715 2022/07/22 14:53:03 - mmengine - INFO - Epoch(train) [20][2240/3757] lr: 1.0000e-02 eta: 2 days, 7:43:45 time: 0.6183 data_time: 0.0226 memory: 17350 grad_norm: 5.2186 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8909 loss: 1.8909 2022/07/22 14:53:18 - mmengine - INFO - Epoch(train) [20][2260/3757] lr: 1.0000e-02 eta: 2 days, 7:43:36 time: 0.7185 data_time: 0.0237 memory: 17350 grad_norm: 5.5000 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1960 loss: 2.1960 2022/07/22 14:53:30 - mmengine - INFO - Epoch(train) [20][2280/3757] lr: 1.0000e-02 eta: 2 days, 7:43:17 time: 0.5953 data_time: 0.0233 memory: 17350 grad_norm: 5.4874 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8398 loss: 1.8398 2022/07/22 14:53:44 - mmengine - INFO - Epoch(train) [20][2300/3757] lr: 1.0000e-02 eta: 2 days, 7:43:08 time: 0.7068 data_time: 0.0222 memory: 17350 grad_norm: 5.4358 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1630 loss: 2.1630 2022/07/22 14:53:56 - mmengine - INFO - Epoch(train) [20][2320/3757] lr: 1.0000e-02 eta: 2 days, 7:42:50 time: 0.6062 data_time: 0.0280 memory: 17350 grad_norm: 5.1414 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8826 loss: 1.8826 2022/07/22 14:54:10 - mmengine - INFO - Epoch(train) [20][2340/3757] lr: 1.0000e-02 eta: 2 days, 7:42:41 time: 0.7217 data_time: 0.0223 memory: 17350 grad_norm: 5.1445 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0052 loss: 2.0052 2022/07/22 14:54:22 - mmengine - INFO - Epoch(train) [20][2360/3757] lr: 1.0000e-02 eta: 2 days, 7:42:23 time: 0.6045 data_time: 0.0230 memory: 17350 grad_norm: 5.5323 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0821 loss: 2.0821 2022/07/22 14:54:37 - mmengine - INFO - Epoch(train) [20][2380/3757] lr: 1.0000e-02 eta: 2 days, 7:42:15 time: 0.7346 data_time: 0.0228 memory: 17350 grad_norm: 5.5153 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2356 loss: 2.2356 2022/07/22 14:54:48 - mmengine - INFO - Epoch(train) [20][2400/3757] lr: 1.0000e-02 eta: 2 days, 7:41:54 time: 0.5671 data_time: 0.0218 memory: 17350 grad_norm: 5.3837 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1577 loss: 2.1577 2022/07/22 14:55:03 - mmengine - INFO - Epoch(train) [20][2420/3757] lr: 1.0000e-02 eta: 2 days, 7:41:47 time: 0.7362 data_time: 0.0225 memory: 17350 grad_norm: 5.5922 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8437 loss: 1.8437 2022/07/22 14:55:16 - mmengine - INFO - Epoch(train) [20][2440/3757] lr: 1.0000e-02 eta: 2 days, 7:41:30 time: 0.6248 data_time: 0.0234 memory: 17350 grad_norm: 5.4308 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2030 loss: 2.2030 2022/07/22 14:55:30 - mmengine - INFO - Epoch(train) [20][2460/3757] lr: 1.0000e-02 eta: 2 days, 7:41:23 time: 0.7334 data_time: 0.0238 memory: 17350 grad_norm: 5.4323 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2948 loss: 2.2948 2022/07/22 14:55:42 - mmengine - INFO - Epoch(train) [20][2480/3757] lr: 1.0000e-02 eta: 2 days, 7:41:04 time: 0.6051 data_time: 0.0223 memory: 17350 grad_norm: 5.3241 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1827 loss: 2.1827 2022/07/22 14:55:56 - mmengine - INFO - Epoch(train) [20][2500/3757] lr: 1.0000e-02 eta: 2 days, 7:40:54 time: 0.6993 data_time: 0.0214 memory: 17350 grad_norm: 5.3507 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1193 loss: 2.1193 2022/07/22 14:56:10 - mmengine - INFO - Epoch(train) [20][2520/3757] lr: 1.0000e-02 eta: 2 days, 7:40:41 time: 0.6612 data_time: 0.0253 memory: 17350 grad_norm: 5.2435 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1647 loss: 2.1647 2022/07/22 14:56:23 - mmengine - INFO - Epoch(train) [20][2540/3757] lr: 1.0000e-02 eta: 2 days, 7:40:26 time: 0.6451 data_time: 0.0238 memory: 17350 grad_norm: 5.4063 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1018 loss: 2.1018 2022/07/22 14:56:35 - mmengine - INFO - Epoch(train) [20][2560/3757] lr: 1.0000e-02 eta: 2 days, 7:40:09 time: 0.6169 data_time: 0.0217 memory: 17350 grad_norm: 5.2462 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0598 loss: 2.0598 2022/07/22 14:56:50 - mmengine - INFO - Epoch(train) [20][2580/3757] lr: 1.0000e-02 eta: 2 days, 7:40:01 time: 0.7405 data_time: 0.0471 memory: 17350 grad_norm: 5.2219 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0548 loss: 2.0548 2022/07/22 14:57:02 - mmengine - INFO - Epoch(train) [20][2600/3757] lr: 1.0000e-02 eta: 2 days, 7:39:42 time: 0.5926 data_time: 0.0323 memory: 17350 grad_norm: 5.4334 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9339 loss: 1.9339 2022/07/22 14:57:12 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 14:57:16 - mmengine - INFO - Epoch(train) [20][2620/3757] lr: 1.0000e-02 eta: 2 days, 7:39:34 time: 0.7241 data_time: 0.1034 memory: 17350 grad_norm: 5.2849 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1805 loss: 2.1805 2022/07/22 14:57:28 - mmengine - INFO - Epoch(train) [20][2640/3757] lr: 1.0000e-02 eta: 2 days, 7:39:16 time: 0.6033 data_time: 0.0311 memory: 17350 grad_norm: 5.3186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9863 loss: 1.9863 2022/07/22 14:57:42 - mmengine - INFO - Epoch(train) [20][2660/3757] lr: 1.0000e-02 eta: 2 days, 7:39:04 time: 0.6891 data_time: 0.1648 memory: 17350 grad_norm: 5.3497 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7822 loss: 1.7822 2022/07/22 14:57:54 - mmengine - INFO - Epoch(train) [20][2680/3757] lr: 1.0000e-02 eta: 2 days, 7:38:47 time: 0.6147 data_time: 0.1539 memory: 17350 grad_norm: 5.5711 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9182 loss: 1.9182 2022/07/22 14:58:08 - mmengine - INFO - Epoch(train) [20][2700/3757] lr: 1.0000e-02 eta: 2 days, 7:38:34 time: 0.6673 data_time: 0.1665 memory: 17350 grad_norm: 5.2662 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9025 loss: 1.9025 2022/07/22 14:58:21 - mmengine - INFO - Epoch(train) [20][2720/3757] lr: 1.0000e-02 eta: 2 days, 7:38:21 time: 0.6650 data_time: 0.0935 memory: 17350 grad_norm: 5.4140 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9085 loss: 1.9085 2022/07/22 14:58:34 - mmengine - INFO - Epoch(train) [20][2740/3757] lr: 1.0000e-02 eta: 2 days, 7:38:09 time: 0.6806 data_time: 0.0883 memory: 17350 grad_norm: 5.4062 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0883 loss: 2.0883 2022/07/22 14:58:48 - mmengine - INFO - Epoch(train) [20][2760/3757] lr: 1.0000e-02 eta: 2 days, 7:37:56 time: 0.6666 data_time: 0.0545 memory: 17350 grad_norm: 5.3890 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9410 loss: 1.9410 2022/07/22 14:59:01 - mmengine - INFO - Epoch(train) [20][2780/3757] lr: 1.0000e-02 eta: 2 days, 7:37:44 time: 0.6788 data_time: 0.0487 memory: 17350 grad_norm: 5.3843 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0506 loss: 2.0506 2022/07/22 14:59:14 - mmengine - INFO - Epoch(train) [20][2800/3757] lr: 1.0000e-02 eta: 2 days, 7:37:30 time: 0.6520 data_time: 0.0746 memory: 17350 grad_norm: 5.4047 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9507 loss: 1.9507 2022/07/22 14:59:28 - mmengine - INFO - Epoch(train) [20][2820/3757] lr: 1.0000e-02 eta: 2 days, 7:37:19 time: 0.6940 data_time: 0.1460 memory: 17350 grad_norm: 5.4773 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6512 loss: 1.6512 2022/07/22 14:59:41 - mmengine - INFO - Epoch(train) [20][2840/3757] lr: 1.0000e-02 eta: 2 days, 7:37:03 time: 0.6329 data_time: 0.0250 memory: 17350 grad_norm: 5.3857 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0548 loss: 2.0548 2022/07/22 14:59:54 - mmengine - INFO - Epoch(train) [20][2860/3757] lr: 1.0000e-02 eta: 2 days, 7:36:49 time: 0.6572 data_time: 0.0231 memory: 17350 grad_norm: 5.6034 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1481 loss: 2.1481 2022/07/22 15:00:09 - mmengine - INFO - Epoch(train) [20][2880/3757] lr: 1.0000e-02 eta: 2 days, 7:36:40 time: 0.7200 data_time: 0.0224 memory: 17350 grad_norm: 5.4829 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2802 loss: 2.2802 2022/07/22 15:00:20 - mmengine - INFO - Epoch(train) [20][2900/3757] lr: 1.0000e-02 eta: 2 days, 7:36:21 time: 0.5959 data_time: 0.0256 memory: 17350 grad_norm: 5.2657 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0399 loss: 2.0399 2022/07/22 15:00:35 - mmengine - INFO - Epoch(train) [20][2920/3757] lr: 1.0000e-02 eta: 2 days, 7:36:12 time: 0.7156 data_time: 0.0234 memory: 17350 grad_norm: 5.4833 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9124 loss: 1.9124 2022/07/22 15:00:48 - mmengine - INFO - Epoch(train) [20][2940/3757] lr: 1.0000e-02 eta: 2 days, 7:35:57 time: 0.6372 data_time: 0.0573 memory: 17350 grad_norm: 5.2314 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8969 loss: 1.8969 2022/07/22 15:01:01 - mmengine - INFO - Epoch(train) [20][2960/3757] lr: 1.0000e-02 eta: 2 days, 7:35:46 time: 0.6916 data_time: 0.0827 memory: 17350 grad_norm: 5.4200 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0420 loss: 2.0420 2022/07/22 15:01:14 - mmengine - INFO - Epoch(train) [20][2980/3757] lr: 1.0000e-02 eta: 2 days, 7:35:30 time: 0.6341 data_time: 0.1659 memory: 17350 grad_norm: 5.3279 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9494 loss: 1.9494 2022/07/22 15:01:28 - mmengine - INFO - Epoch(train) [20][3000/3757] lr: 1.0000e-02 eta: 2 days, 7:35:21 time: 0.7146 data_time: 0.2980 memory: 17350 grad_norm: 5.4602 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9349 loss: 1.9349 2022/07/22 15:01:41 - mmengine - INFO - Epoch(train) [20][3020/3757] lr: 1.0000e-02 eta: 2 days, 7:35:07 time: 0.6528 data_time: 0.2088 memory: 17350 grad_norm: 5.2070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7904 loss: 1.7904 2022/07/22 15:01:55 - mmengine - INFO - Epoch(train) [20][3040/3757] lr: 1.0000e-02 eta: 2 days, 7:34:56 time: 0.6947 data_time: 0.2543 memory: 17350 grad_norm: 5.6886 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9986 loss: 1.9986 2022/07/22 15:02:08 - mmengine - INFO - Epoch(train) [20][3060/3757] lr: 1.0000e-02 eta: 2 days, 7:34:42 time: 0.6547 data_time: 0.0729 memory: 17350 grad_norm: 5.4610 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9532 loss: 1.9532 2022/07/22 15:02:21 - mmengine - INFO - Epoch(train) [20][3080/3757] lr: 1.0000e-02 eta: 2 days, 7:34:26 time: 0.6272 data_time: 0.0889 memory: 17350 grad_norm: 5.2567 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0247 loss: 2.0247 2022/07/22 15:02:35 - mmengine - INFO - Epoch(train) [20][3100/3757] lr: 1.0000e-02 eta: 2 days, 7:34:14 time: 0.6823 data_time: 0.0419 memory: 17350 grad_norm: 5.3173 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8211 loss: 1.8211 2022/07/22 15:02:47 - mmengine - INFO - Epoch(train) [20][3120/3757] lr: 1.0000e-02 eta: 2 days, 7:33:58 time: 0.6360 data_time: 0.0289 memory: 17350 grad_norm: 5.3564 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.3277 loss: 2.3277 2022/07/22 15:03:01 - mmengine - INFO - Epoch(train) [20][3140/3757] lr: 1.0000e-02 eta: 2 days, 7:33:47 time: 0.6885 data_time: 0.0441 memory: 17350 grad_norm: 5.3494 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8713 loss: 1.8713 2022/07/22 15:03:15 - mmengine - INFO - Epoch(train) [20][3160/3757] lr: 1.0000e-02 eta: 2 days, 7:33:34 time: 0.6716 data_time: 0.1164 memory: 17350 grad_norm: 5.4135 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9670 loss: 1.9670 2022/07/22 15:03:27 - mmengine - INFO - Epoch(train) [20][3180/3757] lr: 1.0000e-02 eta: 2 days, 7:33:18 time: 0.6279 data_time: 0.0549 memory: 17350 grad_norm: 5.5306 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0413 loss: 2.0413 2022/07/22 15:03:41 - mmengine - INFO - Epoch(train) [20][3200/3757] lr: 1.0000e-02 eta: 2 days, 7:33:08 time: 0.7041 data_time: 0.1188 memory: 17350 grad_norm: 5.4006 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1333 loss: 2.1333 2022/07/22 15:03:54 - mmengine - INFO - Epoch(train) [20][3220/3757] lr: 1.0000e-02 eta: 2 days, 7:32:54 time: 0.6614 data_time: 0.1646 memory: 17350 grad_norm: 5.3523 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0948 loss: 2.0948 2022/07/22 15:04:08 - mmengine - INFO - Epoch(train) [20][3240/3757] lr: 1.0000e-02 eta: 2 days, 7:32:43 time: 0.6845 data_time: 0.2503 memory: 17350 grad_norm: 5.2979 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4900 loss: 2.4900 2022/07/22 15:04:21 - mmengine - INFO - Epoch(train) [20][3260/3757] lr: 1.0000e-02 eta: 2 days, 7:32:27 time: 0.6369 data_time: 0.0830 memory: 17350 grad_norm: 5.3599 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9046 loss: 1.9046 2022/07/22 15:04:34 - mmengine - INFO - Epoch(train) [20][3280/3757] lr: 1.0000e-02 eta: 2 days, 7:32:13 time: 0.6557 data_time: 0.1265 memory: 17350 grad_norm: 5.4519 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0171 loss: 2.0171 2022/07/22 15:04:47 - mmengine - INFO - Epoch(train) [20][3300/3757] lr: 1.0000e-02 eta: 2 days, 7:32:01 time: 0.6728 data_time: 0.0226 memory: 17350 grad_norm: 5.4203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1367 loss: 2.1367 2022/07/22 15:05:01 - mmengine - INFO - Epoch(train) [20][3320/3757] lr: 1.0000e-02 eta: 2 days, 7:31:48 time: 0.6646 data_time: 0.0472 memory: 17350 grad_norm: 5.2692 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2383 loss: 2.2383 2022/07/22 15:05:15 - mmengine - INFO - Epoch(train) [20][3340/3757] lr: 1.0000e-02 eta: 2 days, 7:31:39 time: 0.7177 data_time: 0.1073 memory: 17350 grad_norm: 5.2786 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0018 loss: 2.0018 2022/07/22 15:05:27 - mmengine - INFO - Epoch(train) [20][3360/3757] lr: 1.0000e-02 eta: 2 days, 7:31:21 time: 0.6146 data_time: 0.0212 memory: 17350 grad_norm: 5.3454 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9011 loss: 1.9011 2022/07/22 15:05:42 - mmengine - INFO - Epoch(train) [20][3380/3757] lr: 1.0000e-02 eta: 2 days, 7:31:13 time: 0.7235 data_time: 0.0244 memory: 17350 grad_norm: 5.5615 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5257 loss: 2.5257 2022/07/22 15:05:54 - mmengine - INFO - Epoch(train) [20][3400/3757] lr: 1.0000e-02 eta: 2 days, 7:30:55 time: 0.6038 data_time: 0.0238 memory: 17350 grad_norm: 5.5351 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3168 loss: 2.3168 2022/07/22 15:06:07 - mmengine - INFO - Epoch(train) [20][3420/3757] lr: 1.0000e-02 eta: 2 days, 7:30:39 time: 0.6397 data_time: 0.0215 memory: 17350 grad_norm: 5.3509 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7657 loss: 1.7657 2022/07/22 15:06:20 - mmengine - INFO - Epoch(train) [20][3440/3757] lr: 1.0000e-02 eta: 2 days, 7:30:26 time: 0.6581 data_time: 0.0234 memory: 17350 grad_norm: 5.3301 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.8264 loss: 1.8264 2022/07/22 15:06:33 - mmengine - INFO - Epoch(train) [20][3460/3757] lr: 1.0000e-02 eta: 2 days, 7:30:10 time: 0.6384 data_time: 0.0487 memory: 17350 grad_norm: 5.3871 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3611 loss: 2.3611 2022/07/22 15:06:46 - mmengine - INFO - Epoch(train) [20][3480/3757] lr: 1.0000e-02 eta: 2 days, 7:29:58 time: 0.6763 data_time: 0.1608 memory: 17350 grad_norm: 5.3010 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0298 loss: 2.0298 2022/07/22 15:07:00 - mmengine - INFO - Epoch(train) [20][3500/3757] lr: 1.0000e-02 eta: 2 days, 7:29:47 time: 0.6950 data_time: 0.0861 memory: 17350 grad_norm: 5.4122 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1471 loss: 2.1471 2022/07/22 15:07:12 - mmengine - INFO - Epoch(train) [20][3520/3757] lr: 1.0000e-02 eta: 2 days, 7:29:30 time: 0.6121 data_time: 0.0542 memory: 17350 grad_norm: 5.2439 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9524 loss: 1.9524 2022/07/22 15:07:26 - mmengine - INFO - Epoch(train) [20][3540/3757] lr: 1.0000e-02 eta: 2 days, 7:29:16 time: 0.6638 data_time: 0.0684 memory: 17350 grad_norm: 5.6514 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0032 loss: 2.0032 2022/07/22 15:07:40 - mmengine - INFO - Epoch(train) [20][3560/3757] lr: 1.0000e-02 eta: 2 days, 7:29:06 time: 0.6980 data_time: 0.1108 memory: 17350 grad_norm: 5.6974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2461 loss: 2.2461 2022/07/22 15:07:53 - mmengine - INFO - Epoch(train) [20][3580/3757] lr: 1.0000e-02 eta: 2 days, 7:28:53 time: 0.6694 data_time: 0.0674 memory: 17350 grad_norm: 5.3202 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7750 loss: 1.7750 2022/07/22 15:08:06 - mmengine - INFO - Epoch(train) [20][3600/3757] lr: 1.0000e-02 eta: 2 days, 7:28:40 time: 0.6656 data_time: 0.0491 memory: 17350 grad_norm: 5.4191 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1431 loss: 2.1431 2022/07/22 15:08:18 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 15:08:20 - mmengine - INFO - Epoch(train) [20][3620/3757] lr: 1.0000e-02 eta: 2 days, 7:28:27 time: 0.6723 data_time: 0.1219 memory: 17350 grad_norm: 5.3129 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9982 loss: 1.9982 2022/07/22 15:08:34 - mmengine - INFO - Epoch(train) [20][3640/3757] lr: 1.0000e-02 eta: 2 days, 7:28:17 time: 0.7057 data_time: 0.1361 memory: 17350 grad_norm: 5.3665 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0278 loss: 2.0278 2022/07/22 15:08:46 - mmengine - INFO - Epoch(train) [20][3660/3757] lr: 1.0000e-02 eta: 2 days, 7:27:58 time: 0.5918 data_time: 0.0593 memory: 17350 grad_norm: 5.3107 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9517 loss: 1.9517 2022/07/22 15:09:00 - mmengine - INFO - Epoch(train) [20][3680/3757] lr: 1.0000e-02 eta: 2 days, 7:27:48 time: 0.7070 data_time: 0.0233 memory: 17350 grad_norm: 5.3793 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0059 loss: 2.0059 2022/07/22 15:09:12 - mmengine - INFO - Epoch(train) [20][3700/3757] lr: 1.0000e-02 eta: 2 days, 7:27:31 time: 0.6166 data_time: 0.0247 memory: 17350 grad_norm: 5.6892 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0410 loss: 2.0410 2022/07/22 15:09:26 - mmengine - INFO - Epoch(train) [20][3720/3757] lr: 1.0000e-02 eta: 2 days, 7:27:21 time: 0.7065 data_time: 0.0222 memory: 17350 grad_norm: 5.5532 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0212 loss: 2.0212 2022/07/22 15:09:38 - mmengine - INFO - Epoch(train) [20][3740/3757] lr: 1.0000e-02 eta: 2 days, 7:27:03 time: 0.6034 data_time: 0.0529 memory: 17350 grad_norm: 5.2659 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0955 loss: 2.0955 2022/07/22 15:09:47 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 15:09:47 - mmengine - INFO - Epoch(train) [20][3757/3757] lr: 1.0000e-02 eta: 2 days, 7:27:03 time: 0.4744 data_time: 0.0372 memory: 17350 grad_norm: 5.2852 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.0609 loss: 2.0609 2022/07/22 15:09:47 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/07/22 15:10:09 - mmengine - INFO - Epoch(val) [20][20/310] eta: 0:04:08 time: 0.8567 data_time: 0.7396 memory: 3406 2022/07/22 15:10:20 - mmengine - INFO - Epoch(val) [20][40/310] eta: 0:02:19 time: 0.5180 data_time: 0.4050 memory: 3406 2022/07/22 15:10:35 - mmengine - INFO - Epoch(val) [20][60/310] eta: 0:03:10 time: 0.7602 data_time: 0.6454 memory: 3406 2022/07/22 15:10:46 - mmengine - INFO - Epoch(val) [20][80/310] eta: 0:02:02 time: 0.5323 data_time: 0.4195 memory: 3406 2022/07/22 15:11:01 - mmengine - INFO - Epoch(val) [20][100/310] eta: 0:02:38 time: 0.7554 data_time: 0.6413 memory: 3406 2022/07/22 15:11:12 - mmengine - INFO - Epoch(val) [20][120/310] eta: 0:01:49 time: 0.5742 data_time: 0.4626 memory: 3406 2022/07/22 15:11:27 - mmengine - INFO - Epoch(val) [20][140/310] eta: 0:02:03 time: 0.7270 data_time: 0.6139 memory: 3406 2022/07/22 15:11:39 - mmengine - INFO - Epoch(val) [20][160/310] eta: 0:01:28 time: 0.5932 data_time: 0.4807 memory: 3406 2022/07/22 15:11:53 - mmengine - INFO - Epoch(val) [20][180/310] eta: 0:01:32 time: 0.7136 data_time: 0.6009 memory: 3406 2022/07/22 15:12:05 - mmengine - INFO - Epoch(val) [20][200/310] eta: 0:01:07 time: 0.6110 data_time: 0.4994 memory: 3406 2022/07/22 15:12:19 - mmengine - INFO - Epoch(val) [20][220/310] eta: 0:01:04 time: 0.7168 data_time: 0.6026 memory: 3406 2022/07/22 15:12:30 - mmengine - INFO - Epoch(val) [20][240/310] eta: 0:00:38 time: 0.5491 data_time: 0.4375 memory: 3406 2022/07/22 15:12:45 - mmengine - INFO - Epoch(val) [20][260/310] eta: 0:00:37 time: 0.7549 data_time: 0.6417 memory: 3406 2022/07/22 15:12:57 - mmengine - INFO - Epoch(val) [20][280/310] eta: 0:00:17 time: 0.5801 data_time: 0.4677 memory: 3406 2022/07/22 15:13:09 - mmengine - INFO - Epoch(val) [20][300/310] eta: 0:00:06 time: 0.6223 data_time: 0.5086 memory: 3406 2022/07/22 15:13:13 - mmengine - INFO - Epoch(val) [20][310/310] acc/top1: 0.5647 acc/top5: 0.8063 acc/mean1: 0.5646 2022/07/22 15:13:13 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_19.pth is removed 2022/07/22 15:13:18 - mmengine - INFO - The best checkpoint with 0.5647 acc/top1 at 21 epoch is saved to best_acc/top1_epoch_21.pth. 2022/07/22 15:13:34 - mmengine - INFO - Epoch(train) [21][20/3757] lr: 1.0000e-02 eta: 2 days, 7:26:04 time: 0.7962 data_time: 0.4692 memory: 17350 grad_norm: 5.1965 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6389 loss: 1.6389 2022/07/22 15:13:46 - mmengine - INFO - Epoch(train) [21][40/3757] lr: 1.0000e-02 eta: 2 days, 7:25:47 time: 0.6211 data_time: 0.2992 memory: 17350 grad_norm: 5.4332 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8318 loss: 1.8318 2022/07/22 15:14:01 - mmengine - INFO - Epoch(train) [21][60/3757] lr: 1.0000e-02 eta: 2 days, 7:25:39 time: 0.7247 data_time: 0.4055 memory: 17350 grad_norm: 5.3834 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8493 loss: 1.8493 2022/07/22 15:14:13 - mmengine - INFO - Epoch(train) [21][80/3757] lr: 1.0000e-02 eta: 2 days, 7:25:21 time: 0.6034 data_time: 0.2808 memory: 17350 grad_norm: 5.4945 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2329 loss: 2.2329 2022/07/22 15:14:28 - mmengine - INFO - Epoch(train) [21][100/3757] lr: 1.0000e-02 eta: 2 days, 7:25:13 time: 0.7376 data_time: 0.4113 memory: 17350 grad_norm: 5.3153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8818 loss: 1.8818 2022/07/22 15:14:39 - mmengine - INFO - Epoch(train) [21][120/3757] lr: 1.0000e-02 eta: 2 days, 7:24:54 time: 0.5848 data_time: 0.2604 memory: 17350 grad_norm: 5.3824 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0926 loss: 2.0926 2022/07/22 15:14:54 - mmengine - INFO - Epoch(train) [21][140/3757] lr: 1.0000e-02 eta: 2 days, 7:24:46 time: 0.7319 data_time: 0.4181 memory: 17350 grad_norm: 5.4233 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0323 loss: 2.0323 2022/07/22 15:15:06 - mmengine - INFO - Epoch(train) [21][160/3757] lr: 1.0000e-02 eta: 2 days, 7:24:29 time: 0.6213 data_time: 0.2972 memory: 17350 grad_norm: 5.3906 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9593 loss: 1.9593 2022/07/22 15:15:21 - mmengine - INFO - Epoch(train) [21][180/3757] lr: 1.0000e-02 eta: 2 days, 7:24:23 time: 0.7541 data_time: 0.4281 memory: 17350 grad_norm: 5.4202 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7648 loss: 1.7648 2022/07/22 15:15:33 - mmengine - INFO - Epoch(train) [21][200/3757] lr: 1.0000e-02 eta: 2 days, 7:24:04 time: 0.5885 data_time: 0.2636 memory: 17350 grad_norm: 5.5543 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5819 loss: 1.5819 2022/07/22 15:15:48 - mmengine - INFO - Epoch(train) [21][220/3757] lr: 1.0000e-02 eta: 2 days, 7:23:57 time: 0.7499 data_time: 0.4263 memory: 17350 grad_norm: 5.2313 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0030 loss: 2.0030 2022/07/22 15:16:00 - mmengine - INFO - Epoch(train) [21][240/3757] lr: 1.0000e-02 eta: 2 days, 7:23:38 time: 0.5936 data_time: 0.2594 memory: 17350 grad_norm: 5.3343 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8044 loss: 1.8044 2022/07/22 15:16:14 - mmengine - INFO - Epoch(train) [21][260/3757] lr: 1.0000e-02 eta: 2 days, 7:23:29 time: 0.7110 data_time: 0.3881 memory: 17350 grad_norm: 5.0067 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9024 loss: 1.9024 2022/07/22 15:16:26 - mmengine - INFO - Epoch(train) [21][280/3757] lr: 1.0000e-02 eta: 2 days, 7:23:09 time: 0.5786 data_time: 0.2518 memory: 17350 grad_norm: 5.2733 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7898 loss: 1.7898 2022/07/22 15:16:41 - mmengine - INFO - Epoch(train) [21][300/3757] lr: 1.0000e-02 eta: 2 days, 7:23:02 time: 0.7484 data_time: 0.4191 memory: 17350 grad_norm: 5.5611 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8489 loss: 1.8489 2022/07/22 15:16:53 - mmengine - INFO - Epoch(train) [21][320/3757] lr: 1.0000e-02 eta: 2 days, 7:22:44 time: 0.5975 data_time: 0.2613 memory: 17350 grad_norm: 5.6698 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8901 loss: 1.8901 2022/07/22 15:17:08 - mmengine - INFO - Epoch(train) [21][340/3757] lr: 1.0000e-02 eta: 2 days, 7:22:36 time: 0.7345 data_time: 0.4052 memory: 17350 grad_norm: 5.6192 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3094 loss: 2.3094 2022/07/22 15:17:19 - mmengine - INFO - Epoch(train) [21][360/3757] lr: 1.0000e-02 eta: 2 days, 7:22:15 time: 0.5718 data_time: 0.2390 memory: 17350 grad_norm: 5.4891 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8615 loss: 1.8615 2022/07/22 15:17:33 - mmengine - INFO - Epoch(train) [21][380/3757] lr: 1.0000e-02 eta: 2 days, 7:22:04 time: 0.6881 data_time: 0.3640 memory: 17350 grad_norm: 5.3557 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7006 loss: 1.7006 2022/07/22 15:17:45 - mmengine - INFO - Epoch(train) [21][400/3757] lr: 1.0000e-02 eta: 2 days, 7:21:46 time: 0.6107 data_time: 0.2841 memory: 17350 grad_norm: 5.2430 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7702 loss: 1.7702 2022/07/22 15:17:59 - mmengine - INFO - Epoch(train) [21][420/3757] lr: 1.0000e-02 eta: 2 days, 7:21:36 time: 0.7051 data_time: 0.3840 memory: 17350 grad_norm: 5.5094 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0626 loss: 2.0626 2022/07/22 15:18:11 - mmengine - INFO - Epoch(train) [21][440/3757] lr: 1.0000e-02 eta: 2 days, 7:21:17 time: 0.5828 data_time: 0.2570 memory: 17350 grad_norm: 5.4268 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1362 loss: 2.1362 2022/07/22 15:18:25 - mmengine - INFO - Epoch(train) [21][460/3757] lr: 1.0000e-02 eta: 2 days, 7:21:08 time: 0.7272 data_time: 0.4044 memory: 17350 grad_norm: 5.4997 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1646 loss: 2.1646 2022/07/22 15:18:37 - mmengine - INFO - Epoch(train) [21][480/3757] lr: 1.0000e-02 eta: 2 days, 7:20:50 time: 0.5968 data_time: 0.2712 memory: 17350 grad_norm: 5.4454 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1610 loss: 2.1610 2022/07/22 15:18:52 - mmengine - INFO - Epoch(train) [21][500/3757] lr: 1.0000e-02 eta: 2 days, 7:20:44 time: 0.7609 data_time: 0.4367 memory: 17350 grad_norm: 5.4613 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3566 loss: 2.3566 2022/07/22 15:19:04 - mmengine - INFO - Epoch(train) [21][520/3757] lr: 1.0000e-02 eta: 2 days, 7:20:25 time: 0.5912 data_time: 0.2657 memory: 17350 grad_norm: 5.3952 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9740 loss: 1.9740 2022/07/22 15:19:19 - mmengine - INFO - Epoch(train) [21][540/3757] lr: 1.0000e-02 eta: 2 days, 7:20:19 time: 0.7546 data_time: 0.4281 memory: 17350 grad_norm: 5.3118 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1676 loss: 2.1676 2022/07/22 15:19:31 - mmengine - INFO - Epoch(train) [21][560/3757] lr: 1.0000e-02 eta: 2 days, 7:20:01 time: 0.5997 data_time: 0.2661 memory: 17350 grad_norm: 5.4439 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0121 loss: 2.0121 2022/07/22 15:19:45 - mmengine - INFO - Epoch(train) [21][580/3757] lr: 1.0000e-02 eta: 2 days, 7:19:51 time: 0.7073 data_time: 0.3836 memory: 17350 grad_norm: 5.6375 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0434 loss: 2.0434 2022/07/22 15:19:58 - mmengine - INFO - Epoch(train) [21][600/3757] lr: 1.0000e-02 eta: 2 days, 7:19:33 time: 0.6032 data_time: 0.2727 memory: 17350 grad_norm: 5.4603 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2331 loss: 2.2331 2022/07/22 15:20:12 - mmengine - INFO - Epoch(train) [21][620/3757] lr: 1.0000e-02 eta: 2 days, 7:19:25 time: 0.7277 data_time: 0.3946 memory: 17350 grad_norm: 5.3716 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9728 loss: 1.9728 2022/07/22 15:20:25 - mmengine - INFO - Epoch(train) [21][640/3757] lr: 1.0000e-02 eta: 2 days, 7:19:10 time: 0.6448 data_time: 0.2583 memory: 17350 grad_norm: 5.4012 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9470 loss: 1.9470 2022/07/22 15:20:39 - mmengine - INFO - Epoch(train) [21][660/3757] lr: 1.0000e-02 eta: 2 days, 7:18:59 time: 0.6910 data_time: 0.3142 memory: 17350 grad_norm: 5.3367 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6215 loss: 1.6215 2022/07/22 15:20:51 - mmengine - INFO - Epoch(train) [21][680/3757] lr: 1.0000e-02 eta: 2 days, 7:18:42 time: 0.6257 data_time: 0.2690 memory: 17350 grad_norm: 5.3485 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8643 loss: 1.8643 2022/07/22 15:21:06 - mmengine - INFO - Epoch(train) [21][700/3757] lr: 1.0000e-02 eta: 2 days, 7:18:33 time: 0.7086 data_time: 0.3341 memory: 17350 grad_norm: 5.4108 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7147 loss: 1.7147 2022/07/22 15:21:18 - mmengine - INFO - Epoch(train) [21][720/3757] lr: 1.0000e-02 eta: 2 days, 7:18:15 time: 0.6123 data_time: 0.2099 memory: 17350 grad_norm: 5.5177 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6842 loss: 1.6842 2022/07/22 15:21:32 - mmengine - INFO - Epoch(train) [21][740/3757] lr: 1.0000e-02 eta: 2 days, 7:18:07 time: 0.7232 data_time: 0.2477 memory: 17350 grad_norm: 5.4230 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8034 loss: 1.8034 2022/07/22 15:21:44 - mmengine - INFO - Epoch(train) [21][760/3757] lr: 1.0000e-02 eta: 2 days, 7:17:49 time: 0.6035 data_time: 0.1259 memory: 17350 grad_norm: 5.6151 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3309 loss: 2.3309 2022/07/22 15:21:58 - mmengine - INFO - Epoch(train) [21][780/3757] lr: 1.0000e-02 eta: 2 days, 7:17:38 time: 0.7024 data_time: 0.1622 memory: 17350 grad_norm: 5.1968 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0489 loss: 2.0489 2022/07/22 15:22:11 - mmengine - INFO - Epoch(train) [21][800/3757] lr: 1.0000e-02 eta: 2 days, 7:17:22 time: 0.6216 data_time: 0.1978 memory: 17350 grad_norm: 5.2279 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8385 loss: 1.8385 2022/07/22 15:22:25 - mmengine - INFO - Epoch(train) [21][820/3757] lr: 1.0000e-02 eta: 2 days, 7:17:11 time: 0.6956 data_time: 0.3176 memory: 17350 grad_norm: 5.6858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0061 loss: 2.0061 2022/07/22 15:22:37 - mmengine - INFO - Epoch(train) [21][840/3757] lr: 1.0000e-02 eta: 2 days, 7:16:52 time: 0.5970 data_time: 0.2159 memory: 17350 grad_norm: 5.4280 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0383 loss: 2.0383 2022/07/22 15:22:52 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 15:22:52 - mmengine - INFO - Epoch(train) [21][860/3757] lr: 1.0000e-02 eta: 2 days, 7:16:46 time: 0.7535 data_time: 0.2443 memory: 17350 grad_norm: 5.4794 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8532 loss: 1.8532 2022/07/22 15:23:04 - mmengine - INFO - Epoch(train) [21][880/3757] lr: 1.0000e-02 eta: 2 days, 7:16:27 time: 0.5915 data_time: 0.2352 memory: 17350 grad_norm: 5.3686 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1219 loss: 2.1219 2022/07/22 15:23:18 - mmengine - INFO - Epoch(train) [21][900/3757] lr: 1.0000e-02 eta: 2 days, 7:16:19 time: 0.7240 data_time: 0.2844 memory: 17350 grad_norm: 5.4174 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0496 loss: 2.0496 2022/07/22 15:23:30 - mmengine - INFO - Epoch(train) [21][920/3757] lr: 1.0000e-02 eta: 2 days, 7:16:02 time: 0.6172 data_time: 0.1761 memory: 17350 grad_norm: 5.3493 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9755 loss: 1.9755 2022/07/22 15:23:45 - mmengine - INFO - Epoch(train) [21][940/3757] lr: 1.0000e-02 eta: 2 days, 7:15:53 time: 0.7242 data_time: 0.3765 memory: 17350 grad_norm: 5.4171 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9147 loss: 1.9147 2022/07/22 15:23:57 - mmengine - INFO - Epoch(train) [21][960/3757] lr: 1.0000e-02 eta: 2 days, 7:15:35 time: 0.5999 data_time: 0.2621 memory: 17350 grad_norm: 5.3898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9631 loss: 1.9631 2022/07/22 15:24:11 - mmengine - INFO - Epoch(train) [21][980/3757] lr: 1.0000e-02 eta: 2 days, 7:15:25 time: 0.7129 data_time: 0.3192 memory: 17350 grad_norm: 5.5797 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9366 loss: 1.9366 2022/07/22 15:24:24 - mmengine - INFO - Epoch(train) [21][1000/3757] lr: 1.0000e-02 eta: 2 days, 7:15:10 time: 0.6435 data_time: 0.1848 memory: 17350 grad_norm: 5.5122 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0927 loss: 2.0927 2022/07/22 15:24:38 - mmengine - INFO - Epoch(train) [21][1020/3757] lr: 1.0000e-02 eta: 2 days, 7:15:01 time: 0.7176 data_time: 0.1412 memory: 17350 grad_norm: 5.5472 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9842 loss: 1.9842 2022/07/22 15:24:50 - mmengine - INFO - Epoch(train) [21][1040/3757] lr: 1.0000e-02 eta: 2 days, 7:14:42 time: 0.5906 data_time: 0.1283 memory: 17350 grad_norm: 5.6313 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0030 loss: 2.0030 2022/07/22 15:25:06 - mmengine - INFO - Epoch(train) [21][1060/3757] lr: 1.0000e-02 eta: 2 days, 7:14:37 time: 0.7668 data_time: 0.1683 memory: 17350 grad_norm: 5.3061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8234 loss: 1.8234 2022/07/22 15:25:17 - mmengine - INFO - Epoch(train) [21][1080/3757] lr: 1.0000e-02 eta: 2 days, 7:14:15 time: 0.5504 data_time: 0.0249 memory: 17350 grad_norm: 5.7027 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0465 loss: 2.0465 2022/07/22 15:25:31 - mmengine - INFO - Epoch(train) [21][1100/3757] lr: 1.0000e-02 eta: 2 days, 7:14:05 time: 0.7104 data_time: 0.2610 memory: 17350 grad_norm: 5.5590 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1722 loss: 2.1722 2022/07/22 15:25:43 - mmengine - INFO - Epoch(train) [21][1120/3757] lr: 1.0000e-02 eta: 2 days, 7:13:47 time: 0.6074 data_time: 0.2473 memory: 17350 grad_norm: 5.4410 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6985 loss: 1.6985 2022/07/22 15:25:58 - mmengine - INFO - Epoch(train) [21][1140/3757] lr: 1.0000e-02 eta: 2 days, 7:13:39 time: 0.7274 data_time: 0.2998 memory: 17350 grad_norm: 5.3596 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8093 loss: 1.8093 2022/07/22 15:26:10 - mmengine - INFO - Epoch(train) [21][1160/3757] lr: 1.0000e-02 eta: 2 days, 7:13:23 time: 0.6248 data_time: 0.1002 memory: 17350 grad_norm: 5.3512 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1571 loss: 2.1571 2022/07/22 15:26:25 - mmengine - INFO - Epoch(train) [21][1180/3757] lr: 1.0000e-02 eta: 2 days, 7:13:14 time: 0.7263 data_time: 0.1251 memory: 17350 grad_norm: 5.5455 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3206 loss: 2.3206 2022/07/22 15:26:37 - mmengine - INFO - Epoch(train) [21][1200/3757] lr: 1.0000e-02 eta: 2 days, 7:12:58 time: 0.6211 data_time: 0.1161 memory: 17350 grad_norm: 5.4299 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8371 loss: 1.8371 2022/07/22 15:26:51 - mmengine - INFO - Epoch(train) [21][1220/3757] lr: 1.0000e-02 eta: 2 days, 7:12:48 time: 0.7035 data_time: 0.1982 memory: 17350 grad_norm: 5.5167 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9247 loss: 1.9247 2022/07/22 15:27:04 - mmengine - INFO - Epoch(train) [21][1240/3757] lr: 1.0000e-02 eta: 2 days, 7:12:32 time: 0.6348 data_time: 0.0227 memory: 17350 grad_norm: 5.5162 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1244 loss: 2.1244 2022/07/22 15:27:17 - mmengine - INFO - Epoch(train) [21][1260/3757] lr: 1.0000e-02 eta: 2 days, 7:12:20 time: 0.6747 data_time: 0.0346 memory: 17350 grad_norm: 5.3622 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0722 loss: 2.0722 2022/07/22 15:27:30 - mmengine - INFO - Epoch(train) [21][1280/3757] lr: 1.0000e-02 eta: 2 days, 7:12:02 time: 0.6149 data_time: 0.0805 memory: 17350 grad_norm: 5.1664 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9233 loss: 1.9233 2022/07/22 15:27:44 - mmengine - INFO - Epoch(train) [21][1300/3757] lr: 1.0000e-02 eta: 2 days, 7:11:55 time: 0.7369 data_time: 0.1060 memory: 17350 grad_norm: 5.4881 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3485 loss: 2.3485 2022/07/22 15:27:56 - mmengine - INFO - Epoch(train) [21][1320/3757] lr: 1.0000e-02 eta: 2 days, 7:11:37 time: 0.6003 data_time: 0.0224 memory: 17350 grad_norm: 5.4615 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1062 loss: 2.1062 2022/07/22 15:28:10 - mmengine - INFO - Epoch(train) [21][1340/3757] lr: 1.0000e-02 eta: 2 days, 7:11:26 time: 0.7030 data_time: 0.0202 memory: 17350 grad_norm: 5.3387 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9503 loss: 1.9503 2022/07/22 15:28:23 - mmengine - INFO - Epoch(train) [21][1360/3757] lr: 1.0000e-02 eta: 2 days, 7:11:11 time: 0.6417 data_time: 0.0212 memory: 17350 grad_norm: 5.4320 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0121 loss: 2.0121 2022/07/22 15:28:36 - mmengine - INFO - Epoch(train) [21][1380/3757] lr: 1.0000e-02 eta: 2 days, 7:10:56 time: 0.6339 data_time: 0.0231 memory: 17350 grad_norm: 5.2941 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1201 loss: 2.1201 2022/07/22 15:28:51 - mmengine - INFO - Epoch(train) [21][1400/3757] lr: 1.0000e-02 eta: 2 days, 7:10:48 time: 0.7300 data_time: 0.0226 memory: 17350 grad_norm: 5.3256 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9243 loss: 1.9243 2022/07/22 15:29:03 - mmengine - INFO - Epoch(train) [21][1420/3757] lr: 1.0000e-02 eta: 2 days, 7:10:29 time: 0.5999 data_time: 0.0226 memory: 17350 grad_norm: 5.3341 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0908 loss: 2.0908 2022/07/22 15:29:16 - mmengine - INFO - Epoch(train) [21][1440/3757] lr: 1.0000e-02 eta: 2 days, 7:10:18 time: 0.6890 data_time: 0.0225 memory: 17350 grad_norm: 5.5872 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9433 loss: 1.9433 2022/07/22 15:29:29 - mmengine - INFO - Epoch(train) [21][1460/3757] lr: 1.0000e-02 eta: 2 days, 7:10:04 time: 0.6561 data_time: 0.0222 memory: 17350 grad_norm: 5.4744 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7836 loss: 1.7836 2022/07/22 15:29:42 - mmengine - INFO - Epoch(train) [21][1480/3757] lr: 1.0000e-02 eta: 2 days, 7:09:48 time: 0.6287 data_time: 0.0212 memory: 17350 grad_norm: 5.2990 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9467 loss: 1.9467 2022/07/22 15:29:55 - mmengine - INFO - Epoch(train) [21][1500/3757] lr: 1.0000e-02 eta: 2 days, 7:09:34 time: 0.6498 data_time: 0.0235 memory: 17350 grad_norm: 5.4213 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9012 loss: 1.9012 2022/07/22 15:30:08 - mmengine - INFO - Epoch(train) [21][1520/3757] lr: 1.0000e-02 eta: 2 days, 7:09:21 time: 0.6734 data_time: 0.0206 memory: 17350 grad_norm: 5.4538 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3749 loss: 2.3749 2022/07/22 15:30:22 - mmengine - INFO - Epoch(train) [21][1540/3757] lr: 1.0000e-02 eta: 2 days, 7:09:09 time: 0.6779 data_time: 0.0233 memory: 17350 grad_norm: 5.3906 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0747 loss: 2.0747 2022/07/22 15:30:34 - mmengine - INFO - Epoch(train) [21][1560/3757] lr: 1.0000e-02 eta: 2 days, 7:08:52 time: 0.6121 data_time: 0.0396 memory: 17350 grad_norm: 5.1506 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3063 loss: 2.3063 2022/07/22 15:30:49 - mmengine - INFO - Epoch(train) [21][1580/3757] lr: 1.0000e-02 eta: 2 days, 7:08:43 time: 0.7259 data_time: 0.0310 memory: 17350 grad_norm: 5.1490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0088 loss: 2.0088 2022/07/22 15:31:01 - mmengine - INFO - Epoch(train) [21][1600/3757] lr: 1.0000e-02 eta: 2 days, 7:08:24 time: 0.5847 data_time: 0.0212 memory: 17350 grad_norm: 5.4125 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9234 loss: 1.9234 2022/07/22 15:31:16 - mmengine - INFO - Epoch(train) [21][1620/3757] lr: 1.0000e-02 eta: 2 days, 7:08:18 time: 0.7576 data_time: 0.0218 memory: 17350 grad_norm: 5.3594 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9770 loss: 1.9770 2022/07/22 15:31:27 - mmengine - INFO - Epoch(train) [21][1640/3757] lr: 1.0000e-02 eta: 2 days, 7:07:59 time: 0.5908 data_time: 0.0236 memory: 17350 grad_norm: 5.4261 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9876 loss: 1.9876 2022/07/22 15:31:41 - mmengine - INFO - Epoch(train) [21][1660/3757] lr: 1.0000e-02 eta: 2 days, 7:07:48 time: 0.6990 data_time: 0.0231 memory: 17350 grad_norm: 5.4596 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9678 loss: 1.9678 2022/07/22 15:31:54 - mmengine - INFO - Epoch(train) [21][1680/3757] lr: 1.0000e-02 eta: 2 days, 7:07:32 time: 0.6237 data_time: 0.0244 memory: 17350 grad_norm: 5.3827 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9560 loss: 1.9560 2022/07/22 15:32:07 - mmengine - INFO - Epoch(train) [21][1700/3757] lr: 1.0000e-02 eta: 2 days, 7:07:18 time: 0.6617 data_time: 0.0234 memory: 17350 grad_norm: 5.5028 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8552 loss: 1.8552 2022/07/22 15:32:21 - mmengine - INFO - Epoch(train) [21][1720/3757] lr: 1.0000e-02 eta: 2 days, 7:07:05 time: 0.6665 data_time: 0.0236 memory: 17350 grad_norm: 5.5748 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2700 loss: 2.2700 2022/07/22 15:32:34 - mmengine - INFO - Epoch(train) [21][1740/3757] lr: 1.0000e-02 eta: 2 days, 7:06:53 time: 0.6783 data_time: 0.0220 memory: 17350 grad_norm: 5.5879 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7305 loss: 1.7305 2022/07/22 15:32:46 - mmengine - INFO - Epoch(train) [21][1760/3757] lr: 1.0000e-02 eta: 2 days, 7:06:35 time: 0.6065 data_time: 0.0839 memory: 17350 grad_norm: 5.4805 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1173 loss: 2.1173 2022/07/22 15:33:00 - mmengine - INFO - Epoch(train) [21][1780/3757] lr: 1.0000e-02 eta: 2 days, 7:06:25 time: 0.7012 data_time: 0.0847 memory: 17350 grad_norm: 5.5727 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6682 loss: 1.6682 2022/07/22 15:33:13 - mmengine - INFO - Epoch(train) [21][1800/3757] lr: 1.0000e-02 eta: 2 days, 7:06:09 time: 0.6326 data_time: 0.0337 memory: 17350 grad_norm: 5.6333 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3461 loss: 2.3461 2022/07/22 15:33:27 - mmengine - INFO - Epoch(train) [21][1820/3757] lr: 1.0000e-02 eta: 2 days, 7:06:00 time: 0.7216 data_time: 0.0652 memory: 17350 grad_norm: 5.4297 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7308 loss: 1.7308 2022/07/22 15:33:40 - mmengine - INFO - Epoch(train) [21][1840/3757] lr: 1.0000e-02 eta: 2 days, 7:05:44 time: 0.6243 data_time: 0.0640 memory: 17350 grad_norm: 5.4507 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7349 loss: 1.7349 2022/07/22 15:33:55 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 15:33:55 - mmengine - INFO - Epoch(train) [21][1860/3757] lr: 1.0000e-02 eta: 2 days, 7:05:37 time: 0.7396 data_time: 0.0212 memory: 17350 grad_norm: 5.2242 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7268 loss: 1.7268 2022/07/22 15:34:06 - mmengine - INFO - Epoch(train) [21][1880/3757] lr: 1.0000e-02 eta: 2 days, 7:05:17 time: 0.5801 data_time: 0.0250 memory: 17350 grad_norm: 5.4923 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9078 loss: 1.9078 2022/07/22 15:34:21 - mmengine - INFO - Epoch(train) [21][1900/3757] lr: 1.0000e-02 eta: 2 days, 7:05:08 time: 0.7268 data_time: 0.0221 memory: 17350 grad_norm: 5.5180 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9610 loss: 1.9610 2022/07/22 15:34:33 - mmengine - INFO - Epoch(train) [21][1920/3757] lr: 1.0000e-02 eta: 2 days, 7:04:50 time: 0.6024 data_time: 0.0239 memory: 17350 grad_norm: 5.3841 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9388 loss: 1.9388 2022/07/22 15:34:47 - mmengine - INFO - Epoch(train) [21][1940/3757] lr: 1.0000e-02 eta: 2 days, 7:04:39 time: 0.6956 data_time: 0.0448 memory: 17350 grad_norm: 5.6426 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1368 loss: 2.1368 2022/07/22 15:34:59 - mmengine - INFO - Epoch(train) [21][1960/3757] lr: 1.0000e-02 eta: 2 days, 7:04:22 time: 0.6150 data_time: 0.1265 memory: 17350 grad_norm: 5.4456 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8147 loss: 1.8147 2022/07/22 15:35:14 - mmengine - INFO - Epoch(train) [21][1980/3757] lr: 1.0000e-02 eta: 2 days, 7:04:15 time: 0.7337 data_time: 0.2281 memory: 17350 grad_norm: 5.4659 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9089 loss: 1.9089 2022/07/22 15:35:26 - mmengine - INFO - Epoch(train) [21][2000/3757] lr: 1.0000e-02 eta: 2 days, 7:03:59 time: 0.6301 data_time: 0.2454 memory: 17350 grad_norm: 5.4358 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1811 loss: 2.1811 2022/07/22 15:35:40 - mmengine - INFO - Epoch(train) [21][2020/3757] lr: 1.0000e-02 eta: 2 days, 7:03:46 time: 0.6730 data_time: 0.2502 memory: 17350 grad_norm: 5.3651 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1985 loss: 2.1985 2022/07/22 15:35:53 - mmengine - INFO - Epoch(train) [21][2040/3757] lr: 1.0000e-02 eta: 2 days, 7:03:32 time: 0.6527 data_time: 0.1421 memory: 17350 grad_norm: 5.3251 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9483 loss: 1.9483 2022/07/22 15:36:06 - mmengine - INFO - Epoch(train) [21][2060/3757] lr: 1.0000e-02 eta: 2 days, 7:03:18 time: 0.6581 data_time: 0.2131 memory: 17350 grad_norm: 5.2946 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9699 loss: 1.9699 2022/07/22 15:36:19 - mmengine - INFO - Epoch(train) [21][2080/3757] lr: 1.0000e-02 eta: 2 days, 7:03:04 time: 0.6520 data_time: 0.1892 memory: 17350 grad_norm: 5.3280 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7045 loss: 1.7045 2022/07/22 15:36:32 - mmengine - INFO - Epoch(train) [21][2100/3757] lr: 1.0000e-02 eta: 2 days, 7:02:51 time: 0.6619 data_time: 0.1770 memory: 17350 grad_norm: 5.5461 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9733 loss: 1.9733 2022/07/22 15:36:46 - mmengine - INFO - Epoch(train) [21][2120/3757] lr: 1.0000e-02 eta: 2 days, 7:02:38 time: 0.6694 data_time: 0.0869 memory: 17350 grad_norm: 5.4253 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8050 loss: 1.8050 2022/07/22 15:36:59 - mmengine - INFO - Epoch(train) [21][2140/3757] lr: 1.0000e-02 eta: 2 days, 7:02:24 time: 0.6531 data_time: 0.1203 memory: 17350 grad_norm: 5.4204 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1638 loss: 2.1638 2022/07/22 15:37:12 - mmengine - INFO - Epoch(train) [21][2160/3757] lr: 1.0000e-02 eta: 2 days, 7:02:10 time: 0.6635 data_time: 0.0956 memory: 17350 grad_norm: 5.4543 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0142 loss: 2.0142 2022/07/22 15:37:25 - mmengine - INFO - Epoch(train) [21][2180/3757] lr: 1.0000e-02 eta: 2 days, 7:01:56 time: 0.6571 data_time: 0.1964 memory: 17350 grad_norm: 5.4031 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2088 loss: 2.2088 2022/07/22 15:37:39 - mmengine - INFO - Epoch(train) [21][2200/3757] lr: 1.0000e-02 eta: 2 days, 7:01:44 time: 0.6709 data_time: 0.1098 memory: 17350 grad_norm: 5.3676 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1971 loss: 2.1971 2022/07/22 15:37:52 - mmengine - INFO - Epoch(train) [21][2220/3757] lr: 1.0000e-02 eta: 2 days, 7:01:30 time: 0.6551 data_time: 0.0348 memory: 17350 grad_norm: 5.3453 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1046 loss: 2.1046 2022/07/22 15:38:05 - mmengine - INFO - Epoch(train) [21][2240/3757] lr: 1.0000e-02 eta: 2 days, 7:01:17 time: 0.6752 data_time: 0.0371 memory: 17350 grad_norm: 5.4825 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0924 loss: 2.0924 2022/07/22 15:38:18 - mmengine - INFO - Epoch(train) [21][2260/3757] lr: 1.0000e-02 eta: 2 days, 7:01:02 time: 0.6374 data_time: 0.0231 memory: 17350 grad_norm: 5.1831 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0209 loss: 2.0209 2022/07/22 15:38:32 - mmengine - INFO - Epoch(train) [21][2280/3757] lr: 1.0000e-02 eta: 2 days, 7:00:52 time: 0.7039 data_time: 0.0322 memory: 17350 grad_norm: 5.2748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9333 loss: 1.9333 2022/07/22 15:38:44 - mmengine - INFO - Epoch(train) [21][2300/3757] lr: 1.0000e-02 eta: 2 days, 7:00:35 time: 0.6125 data_time: 0.0478 memory: 17350 grad_norm: 5.3726 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9021 loss: 1.9021 2022/07/22 15:38:59 - mmengine - INFO - Epoch(train) [21][2320/3757] lr: 1.0000e-02 eta: 2 days, 7:00:25 time: 0.7095 data_time: 0.0980 memory: 17350 grad_norm: 5.6043 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1120 loss: 2.1120 2022/07/22 15:39:12 - mmengine - INFO - Epoch(train) [21][2340/3757] lr: 1.0000e-02 eta: 2 days, 7:00:11 time: 0.6543 data_time: 0.1507 memory: 17350 grad_norm: 5.4944 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8107 loss: 1.8107 2022/07/22 15:39:25 - mmengine - INFO - Epoch(train) [21][2360/3757] lr: 1.0000e-02 eta: 2 days, 6:59:59 time: 0.6820 data_time: 0.0582 memory: 17350 grad_norm: 5.4320 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2523 loss: 2.2523 2022/07/22 15:39:38 - mmengine - INFO - Epoch(train) [21][2380/3757] lr: 1.0000e-02 eta: 2 days, 6:59:42 time: 0.6205 data_time: 0.0518 memory: 17350 grad_norm: 5.5431 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2283 loss: 2.2283 2022/07/22 15:39:53 - mmengine - INFO - Epoch(train) [21][2400/3757] lr: 1.0000e-02 eta: 2 days, 6:59:37 time: 0.7673 data_time: 0.0271 memory: 17350 grad_norm: 5.3898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3646 loss: 2.3646 2022/07/22 15:40:05 - mmengine - INFO - Epoch(train) [21][2420/3757] lr: 1.0000e-02 eta: 2 days, 6:59:19 time: 0.6028 data_time: 0.0490 memory: 17350 grad_norm: 5.3585 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8718 loss: 1.8718 2022/07/22 15:40:20 - mmengine - INFO - Epoch(train) [21][2440/3757] lr: 1.0000e-02 eta: 2 days, 6:59:10 time: 0.7234 data_time: 0.0799 memory: 17350 grad_norm: 5.4331 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9190 loss: 1.9190 2022/07/22 15:40:32 - mmengine - INFO - Epoch(train) [21][2460/3757] lr: 1.0000e-02 eta: 2 days, 6:58:53 time: 0.6122 data_time: 0.0628 memory: 17350 grad_norm: 5.3246 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1827 loss: 2.1827 2022/07/22 15:40:46 - mmengine - INFO - Epoch(train) [21][2480/3757] lr: 1.0000e-02 eta: 2 days, 6:58:42 time: 0.7005 data_time: 0.0357 memory: 17350 grad_norm: 5.2660 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7671 loss: 1.7671 2022/07/22 15:40:59 - mmengine - INFO - Epoch(train) [21][2500/3757] lr: 1.0000e-02 eta: 2 days, 6:58:29 time: 0.6596 data_time: 0.1433 memory: 17350 grad_norm: 5.4462 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9520 loss: 1.9520 2022/07/22 15:41:12 - mmengine - INFO - Epoch(train) [21][2520/3757] lr: 1.0000e-02 eta: 2 days, 6:58:14 time: 0.6427 data_time: 0.2011 memory: 17350 grad_norm: 5.4347 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0287 loss: 2.0287 2022/07/22 15:41:26 - mmengine - INFO - Epoch(train) [21][2540/3757] lr: 1.0000e-02 eta: 2 days, 6:58:02 time: 0.6797 data_time: 0.3068 memory: 17350 grad_norm: 5.4194 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9247 loss: 1.9247 2022/07/22 15:41:39 - mmengine - INFO - Epoch(train) [21][2560/3757] lr: 1.0000e-02 eta: 2 days, 6:57:51 time: 0.6897 data_time: 0.2293 memory: 17350 grad_norm: 5.2654 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8871 loss: 1.8871 2022/07/22 15:41:52 - mmengine - INFO - Epoch(train) [21][2580/3757] lr: 1.0000e-02 eta: 2 days, 6:57:36 time: 0.6440 data_time: 0.1835 memory: 17350 grad_norm: 5.5488 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8659 loss: 1.8659 2022/07/22 15:42:06 - mmengine - INFO - Epoch(train) [21][2600/3757] lr: 1.0000e-02 eta: 2 days, 6:57:23 time: 0.6738 data_time: 0.1653 memory: 17350 grad_norm: 5.2723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7956 loss: 1.7956 2022/07/22 15:42:19 - mmengine - INFO - Epoch(train) [21][2620/3757] lr: 1.0000e-02 eta: 2 days, 6:57:10 time: 0.6631 data_time: 0.2018 memory: 17350 grad_norm: 5.5671 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3338 loss: 2.3338 2022/07/22 15:42:32 - mmengine - INFO - Epoch(train) [21][2640/3757] lr: 1.0000e-02 eta: 2 days, 6:56:57 time: 0.6666 data_time: 0.1902 memory: 17350 grad_norm: 5.2210 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7863 loss: 1.7863 2022/07/22 15:42:46 - mmengine - INFO - Epoch(train) [21][2660/3757] lr: 1.0000e-02 eta: 2 days, 6:56:44 time: 0.6759 data_time: 0.2625 memory: 17350 grad_norm: 5.4008 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1118 loss: 2.1118 2022/07/22 15:42:59 - mmengine - INFO - Epoch(train) [21][2680/3757] lr: 1.0000e-02 eta: 2 days, 6:56:29 time: 0.6350 data_time: 0.1808 memory: 17350 grad_norm: 5.1475 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1543 loss: 2.1543 2022/07/22 15:43:12 - mmengine - INFO - Epoch(train) [21][2700/3757] lr: 1.0000e-02 eta: 2 days, 6:56:18 time: 0.6956 data_time: 0.3648 memory: 17350 grad_norm: 5.3016 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9515 loss: 1.9515 2022/07/22 15:43:25 - mmengine - INFO - Epoch(train) [21][2720/3757] lr: 1.0000e-02 eta: 2 days, 6:56:01 time: 0.6155 data_time: 0.2867 memory: 17350 grad_norm: 5.3031 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9847 loss: 1.9847 2022/07/22 15:43:39 - mmengine - INFO - Epoch(train) [21][2740/3757] lr: 1.0000e-02 eta: 2 days, 6:55:50 time: 0.6877 data_time: 0.3610 memory: 17350 grad_norm: 5.3082 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0232 loss: 2.0232 2022/07/22 15:43:51 - mmengine - INFO - Epoch(train) [21][2760/3757] lr: 1.0000e-02 eta: 2 days, 6:55:35 time: 0.6475 data_time: 0.3205 memory: 17350 grad_norm: 5.3692 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1161 loss: 2.1161 2022/07/22 15:44:05 - mmengine - INFO - Epoch(train) [21][2780/3757] lr: 1.0000e-02 eta: 2 days, 6:55:22 time: 0.6714 data_time: 0.3411 memory: 17350 grad_norm: 5.5345 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6900 loss: 1.6900 2022/07/22 15:44:17 - mmengine - INFO - Epoch(train) [21][2800/3757] lr: 1.0000e-02 eta: 2 days, 6:55:06 time: 0.6292 data_time: 0.2788 memory: 17350 grad_norm: 5.4674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7367 loss: 1.7367 2022/07/22 15:44:32 - mmengine - INFO - Epoch(train) [21][2820/3757] lr: 1.0000e-02 eta: 2 days, 6:54:56 time: 0.7058 data_time: 0.3167 memory: 17350 grad_norm: 5.4049 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9659 loss: 1.9659 2022/07/22 15:44:44 - mmengine - INFO - Epoch(train) [21][2840/3757] lr: 1.0000e-02 eta: 2 days, 6:54:40 time: 0.6198 data_time: 0.2063 memory: 17350 grad_norm: 5.4384 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7111 loss: 1.7111 2022/07/22 15:44:58 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 15:44:58 - mmengine - INFO - Epoch(train) [21][2860/3757] lr: 1.0000e-02 eta: 2 days, 6:54:28 time: 0.6914 data_time: 0.3020 memory: 17350 grad_norm: 5.1874 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9404 loss: 1.9404 2022/07/22 15:45:11 - mmengine - INFO - Epoch(train) [21][2880/3757] lr: 1.0000e-02 eta: 2 days, 6:54:16 time: 0.6703 data_time: 0.3470 memory: 17350 grad_norm: 5.2571 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9669 loss: 1.9669 2022/07/22 15:45:25 - mmengine - INFO - Epoch(train) [21][2900/3757] lr: 1.0000e-02 eta: 2 days, 6:54:03 time: 0.6662 data_time: 0.3122 memory: 17350 grad_norm: 5.2970 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7817 loss: 1.7817 2022/07/22 15:45:38 - mmengine - INFO - Epoch(train) [21][2920/3757] lr: 1.0000e-02 eta: 2 days, 6:53:50 time: 0.6706 data_time: 0.2806 memory: 17350 grad_norm: 5.4777 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1810 loss: 2.1810 2022/07/22 15:45:52 - mmengine - INFO - Epoch(train) [21][2940/3757] lr: 1.0000e-02 eta: 2 days, 6:53:40 time: 0.7083 data_time: 0.2485 memory: 17350 grad_norm: 5.3721 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0749 loss: 2.0749 2022/07/22 15:46:04 - mmengine - INFO - Epoch(train) [21][2960/3757] lr: 1.0000e-02 eta: 2 days, 6:53:22 time: 0.5982 data_time: 0.1853 memory: 17350 grad_norm: 5.4963 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0391 loss: 2.0391 2022/07/22 15:46:18 - mmengine - INFO - Epoch(train) [21][2980/3757] lr: 1.0000e-02 eta: 2 days, 6:53:11 time: 0.7027 data_time: 0.2359 memory: 17350 grad_norm: 5.3304 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1438 loss: 2.1438 2022/07/22 15:46:31 - mmengine - INFO - Epoch(train) [21][3000/3757] lr: 1.0000e-02 eta: 2 days, 6:52:56 time: 0.6406 data_time: 0.0872 memory: 17350 grad_norm: 5.4892 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1847 loss: 2.1847 2022/07/22 15:46:45 - mmengine - INFO - Epoch(train) [21][3020/3757] lr: 1.0000e-02 eta: 2 days, 6:52:47 time: 0.7116 data_time: 0.1476 memory: 17350 grad_norm: 5.3776 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1864 loss: 2.1864 2022/07/22 15:46:57 - mmengine - INFO - Epoch(train) [21][3040/3757] lr: 1.0000e-02 eta: 2 days, 6:52:29 time: 0.6029 data_time: 0.1316 memory: 17350 grad_norm: 5.4681 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2322 loss: 2.2322 2022/07/22 15:47:12 - mmengine - INFO - Epoch(train) [21][3060/3757] lr: 1.0000e-02 eta: 2 days, 6:52:20 time: 0.7319 data_time: 0.0873 memory: 17350 grad_norm: 5.5743 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2385 loss: 2.2385 2022/07/22 15:47:25 - mmengine - INFO - Epoch(train) [21][3080/3757] lr: 1.0000e-02 eta: 2 days, 6:52:05 time: 0.6345 data_time: 0.0305 memory: 17350 grad_norm: 5.5001 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0245 loss: 2.0245 2022/07/22 15:47:39 - mmengine - INFO - Epoch(train) [21][3100/3757] lr: 1.0000e-02 eta: 2 days, 6:51:56 time: 0.7236 data_time: 0.0223 memory: 17350 grad_norm: 5.4467 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1949 loss: 2.1949 2022/07/22 15:47:51 - mmengine - INFO - Epoch(train) [21][3120/3757] lr: 1.0000e-02 eta: 2 days, 6:51:39 time: 0.6098 data_time: 0.0220 memory: 17350 grad_norm: 5.4328 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0659 loss: 2.0659 2022/07/22 15:48:05 - mmengine - INFO - Epoch(train) [21][3140/3757] lr: 1.0000e-02 eta: 2 days, 6:51:27 time: 0.6857 data_time: 0.0228 memory: 17350 grad_norm: 5.4531 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6852 loss: 1.6852 2022/07/22 15:48:16 - mmengine - INFO - Epoch(train) [21][3160/3757] lr: 1.0000e-02 eta: 2 days, 6:51:06 time: 0.5650 data_time: 0.0245 memory: 17350 grad_norm: 5.2500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8528 loss: 1.8528 2022/07/22 15:48:30 - mmengine - INFO - Epoch(train) [21][3180/3757] lr: 1.0000e-02 eta: 2 days, 6:50:56 time: 0.6966 data_time: 0.0760 memory: 17350 grad_norm: 5.2715 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9967 loss: 1.9967 2022/07/22 15:48:42 - mmengine - INFO - Epoch(train) [21][3200/3757] lr: 1.0000e-02 eta: 2 days, 6:50:38 time: 0.6070 data_time: 0.1267 memory: 17350 grad_norm: 5.3538 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3973 loss: 2.3973 2022/07/22 15:48:57 - mmengine - INFO - Epoch(train) [21][3220/3757] lr: 1.0000e-02 eta: 2 days, 6:50:31 time: 0.7421 data_time: 0.1951 memory: 17350 grad_norm: 5.4621 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2081 loss: 2.2081 2022/07/22 15:49:10 - mmengine - INFO - Epoch(train) [21][3240/3757] lr: 1.0000e-02 eta: 2 days, 6:50:14 time: 0.6237 data_time: 0.1732 memory: 17350 grad_norm: 5.3373 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9120 loss: 1.9120 2022/07/22 15:49:24 - mmengine - INFO - Epoch(train) [21][3260/3757] lr: 1.0000e-02 eta: 2 days, 6:50:03 time: 0.6904 data_time: 0.2985 memory: 17350 grad_norm: 5.5696 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9656 loss: 1.9656 2022/07/22 15:49:36 - mmengine - INFO - Epoch(train) [21][3280/3757] lr: 1.0000e-02 eta: 2 days, 6:49:46 time: 0.6209 data_time: 0.2447 memory: 17350 grad_norm: 5.4085 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9855 loss: 1.9855 2022/07/22 15:49:50 - mmengine - INFO - Epoch(train) [21][3300/3757] lr: 1.0000e-02 eta: 2 days, 6:49:37 time: 0.7178 data_time: 0.3345 memory: 17350 grad_norm: 5.2622 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9644 loss: 1.9644 2022/07/22 15:50:03 - mmengine - INFO - Epoch(train) [21][3320/3757] lr: 1.0000e-02 eta: 2 days, 6:49:22 time: 0.6394 data_time: 0.2283 memory: 17350 grad_norm: 5.4023 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0140 loss: 2.0140 2022/07/22 15:50:17 - mmengine - INFO - Epoch(train) [21][3340/3757] lr: 1.0000e-02 eta: 2 days, 6:49:12 time: 0.7016 data_time: 0.3585 memory: 17350 grad_norm: 5.3929 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9670 loss: 1.9670 2022/07/22 15:50:30 - mmengine - INFO - Epoch(train) [21][3360/3757] lr: 1.0000e-02 eta: 2 days, 6:48:55 time: 0.6257 data_time: 0.2922 memory: 17350 grad_norm: 5.2534 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9269 loss: 1.9269 2022/07/22 15:50:44 - mmengine - INFO - Epoch(train) [21][3380/3757] lr: 1.0000e-02 eta: 2 days, 6:48:47 time: 0.7283 data_time: 0.3961 memory: 17350 grad_norm: 5.4166 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0290 loss: 2.0290 2022/07/22 15:50:56 - mmengine - INFO - Epoch(train) [21][3400/3757] lr: 1.0000e-02 eta: 2 days, 6:48:28 time: 0.5847 data_time: 0.2506 memory: 17350 grad_norm: 5.3435 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8422 loss: 1.8422 2022/07/22 15:51:11 - mmengine - INFO - Epoch(train) [21][3420/3757] lr: 1.0000e-02 eta: 2 days, 6:48:19 time: 0.7273 data_time: 0.3846 memory: 17350 grad_norm: 5.2862 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0223 loss: 2.0223 2022/07/22 15:51:23 - mmengine - INFO - Epoch(train) [21][3440/3757] lr: 1.0000e-02 eta: 2 days, 6:48:01 time: 0.6043 data_time: 0.2727 memory: 17350 grad_norm: 5.4983 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0189 loss: 2.0189 2022/07/22 15:51:36 - mmengine - INFO - Epoch(train) [21][3460/3757] lr: 1.0000e-02 eta: 2 days, 6:47:50 time: 0.6829 data_time: 0.3377 memory: 17350 grad_norm: 5.3756 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0647 loss: 2.0647 2022/07/22 15:51:49 - mmengine - INFO - Epoch(train) [21][3480/3757] lr: 1.0000e-02 eta: 2 days, 6:47:33 time: 0.6146 data_time: 0.2845 memory: 17350 grad_norm: 5.3304 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8324 loss: 1.8324 2022/07/22 15:52:03 - mmengine - INFO - Epoch(train) [21][3500/3757] lr: 1.0000e-02 eta: 2 days, 6:47:22 time: 0.6969 data_time: 0.3581 memory: 17350 grad_norm: 5.2188 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6474 loss: 1.6474 2022/07/22 15:52:15 - mmengine - INFO - Epoch(train) [21][3520/3757] lr: 1.0000e-02 eta: 2 days, 6:47:05 time: 0.6150 data_time: 0.2716 memory: 17350 grad_norm: 5.4760 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9623 loss: 1.9623 2022/07/22 15:52:29 - mmengine - INFO - Epoch(train) [21][3540/3757] lr: 1.0000e-02 eta: 2 days, 6:46:55 time: 0.7110 data_time: 0.3662 memory: 17350 grad_norm: 5.4344 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8339 loss: 1.8339 2022/07/22 15:52:41 - mmengine - INFO - Epoch(train) [21][3560/3757] lr: 1.0000e-02 eta: 2 days, 6:46:37 time: 0.5944 data_time: 0.2241 memory: 17350 grad_norm: 5.3107 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9318 loss: 1.9318 2022/07/22 15:52:56 - mmengine - INFO - Epoch(train) [21][3580/3757] lr: 1.0000e-02 eta: 2 days, 6:46:29 time: 0.7417 data_time: 0.3984 memory: 17350 grad_norm: 5.4904 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1591 loss: 2.1591 2022/07/22 15:53:07 - mmengine - INFO - Epoch(train) [21][3600/3757] lr: 1.0000e-02 eta: 2 days, 6:46:09 time: 0.5685 data_time: 0.2261 memory: 17350 grad_norm: 5.3459 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9528 loss: 1.9528 2022/07/22 15:53:23 - mmengine - INFO - Epoch(train) [21][3620/3757] lr: 1.0000e-02 eta: 2 days, 6:46:03 time: 0.7676 data_time: 0.4352 memory: 17350 grad_norm: 5.4259 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0055 loss: 2.0055 2022/07/22 15:53:35 - mmengine - INFO - Epoch(train) [21][3640/3757] lr: 1.0000e-02 eta: 2 days, 6:45:47 time: 0.6228 data_time: 0.2934 memory: 17350 grad_norm: 5.4215 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9138 loss: 1.9138 2022/07/22 15:53:50 - mmengine - INFO - Epoch(train) [21][3660/3757] lr: 1.0000e-02 eta: 2 days, 6:45:39 time: 0.7345 data_time: 0.4011 memory: 17350 grad_norm: 5.5418 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2366 loss: 2.2366 2022/07/22 15:54:01 - mmengine - INFO - Epoch(train) [21][3680/3757] lr: 1.0000e-02 eta: 2 days, 6:45:18 time: 0.5598 data_time: 0.2328 memory: 17350 grad_norm: 5.1835 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1234 loss: 2.1234 2022/07/22 15:54:15 - mmengine - INFO - Epoch(train) [21][3700/3757] lr: 1.0000e-02 eta: 2 days, 6:45:08 time: 0.7057 data_time: 0.3761 memory: 17350 grad_norm: 5.4207 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9728 loss: 1.9728 2022/07/22 15:54:27 - mmengine - INFO - Epoch(train) [21][3720/3757] lr: 1.0000e-02 eta: 2 days, 6:44:49 time: 0.5976 data_time: 0.2718 memory: 17350 grad_norm: 5.2687 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9909 loss: 1.9909 2022/07/22 15:54:41 - mmengine - INFO - Epoch(train) [21][3740/3757] lr: 1.0000e-02 eta: 2 days, 6:44:38 time: 0.6945 data_time: 0.3677 memory: 17350 grad_norm: 5.3885 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2841 loss: 2.2841 2022/07/22 15:54:49 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 15:54:49 - mmengine - INFO - Epoch(train) [21][3757/3757] lr: 1.0000e-02 eta: 2 days, 6:44:38 time: 0.4472 data_time: 0.1233 memory: 17350 grad_norm: 5.0755 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.0832 loss: 2.0832 2022/07/22 15:55:06 - mmengine - INFO - Epoch(val) [21][20/310] eta: 0:04:07 time: 0.8525 data_time: 0.7379 memory: 3406 2022/07/22 15:55:17 - mmengine - INFO - Epoch(val) [21][40/310] eta: 0:02:30 time: 0.5569 data_time: 0.4413 memory: 3406 2022/07/22 15:55:33 - mmengine - INFO - Epoch(val) [21][60/310] eta: 0:03:14 time: 0.7791 data_time: 0.6665 memory: 3406 2022/07/22 15:55:44 - mmengine - INFO - Epoch(val) [21][80/310] eta: 0:02:10 time: 0.5663 data_time: 0.4547 memory: 3406 2022/07/22 15:55:59 - mmengine - INFO - Epoch(val) [21][100/310] eta: 0:02:36 time: 0.7471 data_time: 0.6331 memory: 3406 2022/07/22 15:56:10 - mmengine - INFO - Epoch(val) [21][120/310] eta: 0:01:43 time: 0.5425 data_time: 0.4305 memory: 3406 2022/07/22 15:56:26 - mmengine - INFO - Epoch(val) [21][140/310] eta: 0:02:17 time: 0.8107 data_time: 0.6971 memory: 3406 2022/07/22 15:56:37 - mmengine - INFO - Epoch(val) [21][160/310] eta: 0:01:24 time: 0.5635 data_time: 0.4499 memory: 3406 2022/07/22 15:56:53 - mmengine - INFO - Epoch(val) [21][180/310] eta: 0:01:41 time: 0.7812 data_time: 0.6679 memory: 3406 2022/07/22 15:57:04 - mmengine - INFO - Epoch(val) [21][200/310] eta: 0:00:58 time: 0.5358 data_time: 0.4232 memory: 3406 2022/07/22 15:57:19 - mmengine - INFO - Epoch(val) [21][220/310] eta: 0:01:08 time: 0.7623 data_time: 0.6503 memory: 3406 2022/07/22 15:57:30 - mmengine - INFO - Epoch(val) [21][240/310] eta: 0:00:37 time: 0.5368 data_time: 0.4234 memory: 3406 2022/07/22 15:57:45 - mmengine - INFO - Epoch(val) [21][260/310] eta: 0:00:37 time: 0.7563 data_time: 0.6440 memory: 3406 2022/07/22 15:57:56 - mmengine - INFO - Epoch(val) [21][280/310] eta: 0:00:16 time: 0.5526 data_time: 0.4396 memory: 3406 2022/07/22 15:58:10 - mmengine - INFO - Epoch(val) [21][300/310] eta: 0:00:07 time: 0.7232 data_time: 0.6103 memory: 3406 2022/07/22 15:58:14 - mmengine - INFO - Epoch(val) [21][310/310] acc/top1: 0.5678 acc/top5: 0.8040 acc/mean1: 0.5677 2022/07/22 15:58:15 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_21.pth is removed 2022/07/22 15:58:19 - mmengine - INFO - The best checkpoint with 0.5678 acc/top1 at 22 epoch is saved to best_acc/top1_epoch_22.pth. 2022/07/22 15:58:34 - mmengine - INFO - Epoch(train) [22][20/3757] lr: 1.0000e-02 eta: 2 days, 6:43:38 time: 0.7557 data_time: 0.4289 memory: 17350 grad_norm: 5.3597 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0252 loss: 2.0252 2022/07/22 15:58:46 - mmengine - INFO - Epoch(train) [22][40/3757] lr: 1.0000e-02 eta: 2 days, 6:43:19 time: 0.5899 data_time: 0.2623 memory: 17350 grad_norm: 5.2772 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8067 loss: 1.8067 2022/07/22 15:59:01 - mmengine - INFO - Epoch(train) [22][60/3757] lr: 1.0000e-02 eta: 2 days, 6:43:11 time: 0.7286 data_time: 0.3995 memory: 17350 grad_norm: 5.4692 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0884 loss: 2.0884 2022/07/22 15:59:13 - mmengine - INFO - Epoch(train) [22][80/3757] lr: 1.0000e-02 eta: 2 days, 6:42:53 time: 0.5964 data_time: 0.2639 memory: 17350 grad_norm: 5.4632 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9147 loss: 1.9147 2022/07/22 15:59:27 - mmengine - INFO - Epoch(train) [22][100/3757] lr: 1.0000e-02 eta: 2 days, 6:42:43 time: 0.7175 data_time: 0.3841 memory: 17350 grad_norm: 5.4228 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8893 loss: 1.8893 2022/07/22 15:59:28 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 15:59:39 - mmengine - INFO - Epoch(train) [22][120/3757] lr: 1.0000e-02 eta: 2 days, 6:42:26 time: 0.6088 data_time: 0.2836 memory: 17350 grad_norm: 5.3252 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 1.8604 loss: 1.8604 2022/07/22 15:59:53 - mmengine - INFO - Epoch(train) [22][140/3757] lr: 1.0000e-02 eta: 2 days, 6:42:15 time: 0.6978 data_time: 0.3716 memory: 17350 grad_norm: 5.5860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9348 loss: 1.9348 2022/07/22 16:00:07 - mmengine - INFO - Epoch(train) [22][160/3757] lr: 1.0000e-02 eta: 2 days, 6:42:03 time: 0.6731 data_time: 0.3437 memory: 17350 grad_norm: 5.4189 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8879 loss: 1.8879 2022/07/22 16:00:20 - mmengine - INFO - Epoch(train) [22][180/3757] lr: 1.0000e-02 eta: 2 days, 6:41:51 time: 0.6879 data_time: 0.3599 memory: 17350 grad_norm: 5.3928 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9447 loss: 1.9447 2022/07/22 16:00:33 - mmengine - INFO - Epoch(train) [22][200/3757] lr: 1.0000e-02 eta: 2 days, 6:41:36 time: 0.6341 data_time: 0.2398 memory: 17350 grad_norm: 5.3623 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0224 loss: 2.0224 2022/07/22 16:00:48 - mmengine - INFO - Epoch(train) [22][220/3757] lr: 1.0000e-02 eta: 2 days, 6:41:27 time: 0.7208 data_time: 0.3844 memory: 17350 grad_norm: 5.5583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2320 loss: 2.2320 2022/07/22 16:01:00 - mmengine - INFO - Epoch(train) [22][240/3757] lr: 1.0000e-02 eta: 2 days, 6:41:10 time: 0.6244 data_time: 0.3007 memory: 17350 grad_norm: 5.3722 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6086 loss: 1.6086 2022/07/22 16:01:15 - mmengine - INFO - Epoch(train) [22][260/3757] lr: 1.0000e-02 eta: 2 days, 6:41:04 time: 0.7544 data_time: 0.4216 memory: 17350 grad_norm: 5.4933 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8916 loss: 1.8916 2022/07/22 16:01:27 - mmengine - INFO - Epoch(train) [22][280/3757] lr: 1.0000e-02 eta: 2 days, 6:40:46 time: 0.5986 data_time: 0.2662 memory: 17350 grad_norm: 5.2780 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0347 loss: 2.0347 2022/07/22 16:01:42 - mmengine - INFO - Epoch(train) [22][300/3757] lr: 1.0000e-02 eta: 2 days, 6:40:39 time: 0.7531 data_time: 0.4247 memory: 17350 grad_norm: 5.3770 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9217 loss: 1.9217 2022/07/22 16:01:54 - mmengine - INFO - Epoch(train) [22][320/3757] lr: 1.0000e-02 eta: 2 days, 6:40:22 time: 0.6050 data_time: 0.2743 memory: 17350 grad_norm: 5.3209 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8390 loss: 1.8390 2022/07/22 16:02:09 - mmengine - INFO - Epoch(train) [22][340/3757] lr: 1.0000e-02 eta: 2 days, 6:40:12 time: 0.7169 data_time: 0.3810 memory: 17350 grad_norm: 5.4485 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1230 loss: 2.1230 2022/07/22 16:02:20 - mmengine - INFO - Epoch(train) [22][360/3757] lr: 1.0000e-02 eta: 2 days, 6:39:52 time: 0.5739 data_time: 0.2393 memory: 17350 grad_norm: 5.4042 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1495 loss: 2.1495 2022/07/22 16:02:35 - mmengine - INFO - Epoch(train) [22][380/3757] lr: 1.0000e-02 eta: 2 days, 6:39:44 time: 0.7247 data_time: 0.3981 memory: 17350 grad_norm: 5.3562 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9069 loss: 1.9069 2022/07/22 16:02:46 - mmengine - INFO - Epoch(train) [22][400/3757] lr: 1.0000e-02 eta: 2 days, 6:39:25 time: 0.5927 data_time: 0.2613 memory: 17350 grad_norm: 5.4530 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9486 loss: 1.9486 2022/07/22 16:03:01 - mmengine - INFO - Epoch(train) [22][420/3757] lr: 1.0000e-02 eta: 2 days, 6:39:17 time: 0.7314 data_time: 0.4044 memory: 17350 grad_norm: 5.5960 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1061 loss: 2.1061 2022/07/22 16:03:13 - mmengine - INFO - Epoch(train) [22][440/3757] lr: 1.0000e-02 eta: 2 days, 6:39:00 time: 0.6141 data_time: 0.2828 memory: 17350 grad_norm: 5.3153 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7110 loss: 1.7110 2022/07/22 16:03:28 - mmengine - INFO - Epoch(train) [22][460/3757] lr: 1.0000e-02 eta: 2 days, 6:38:50 time: 0.7100 data_time: 0.3931 memory: 17350 grad_norm: 5.4723 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6608 loss: 1.6608 2022/07/22 16:03:39 - mmengine - INFO - Epoch(train) [22][480/3757] lr: 1.0000e-02 eta: 2 days, 6:38:32 time: 0.5960 data_time: 0.2718 memory: 17350 grad_norm: 5.3335 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9250 loss: 1.9250 2022/07/22 16:03:54 - mmengine - INFO - Epoch(train) [22][500/3757] lr: 1.0000e-02 eta: 2 days, 6:38:23 time: 0.7340 data_time: 0.4125 memory: 17350 grad_norm: 5.4698 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2627 loss: 2.2627 2022/07/22 16:04:06 - mmengine - INFO - Epoch(train) [22][520/3757] lr: 1.0000e-02 eta: 2 days, 6:38:05 time: 0.5944 data_time: 0.2744 memory: 17350 grad_norm: 5.4209 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7850 loss: 1.7850 2022/07/22 16:04:20 - mmengine - INFO - Epoch(train) [22][540/3757] lr: 1.0000e-02 eta: 2 days, 6:37:55 time: 0.7114 data_time: 0.3784 memory: 17350 grad_norm: 5.4779 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0944 loss: 2.0944 2022/07/22 16:04:32 - mmengine - INFO - Epoch(train) [22][560/3757] lr: 1.0000e-02 eta: 2 days, 6:37:36 time: 0.5794 data_time: 0.2495 memory: 17350 grad_norm: 5.3036 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9601 loss: 1.9601 2022/07/22 16:04:46 - mmengine - INFO - Epoch(train) [22][580/3757] lr: 1.0000e-02 eta: 2 days, 6:37:27 time: 0.7248 data_time: 0.3708 memory: 17350 grad_norm: 5.3680 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0255 loss: 2.0255 2022/07/22 16:04:59 - mmengine - INFO - Epoch(train) [22][600/3757] lr: 1.0000e-02 eta: 2 days, 6:37:11 time: 0.6274 data_time: 0.3071 memory: 17350 grad_norm: 5.3315 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8183 loss: 1.8183 2022/07/22 16:05:14 - mmengine - INFO - Epoch(train) [22][620/3757] lr: 1.0000e-02 eta: 2 days, 6:37:04 time: 0.7499 data_time: 0.4342 memory: 17350 grad_norm: 5.4852 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9195 loss: 1.9195 2022/07/22 16:05:26 - mmengine - INFO - Epoch(train) [22][640/3757] lr: 1.0000e-02 eta: 2 days, 6:36:47 time: 0.6133 data_time: 0.2810 memory: 17350 grad_norm: 5.3156 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1155 loss: 2.1155 2022/07/22 16:05:41 - mmengine - INFO - Epoch(train) [22][660/3757] lr: 1.0000e-02 eta: 2 days, 6:36:40 time: 0.7404 data_time: 0.4146 memory: 17350 grad_norm: 5.3958 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1138 loss: 2.1138 2022/07/22 16:05:53 - mmengine - INFO - Epoch(train) [22][680/3757] lr: 1.0000e-02 eta: 2 days, 6:36:22 time: 0.6083 data_time: 0.2845 memory: 17350 grad_norm: 5.3376 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9840 loss: 1.9840 2022/07/22 16:06:08 - mmengine - INFO - Epoch(train) [22][700/3757] lr: 1.0000e-02 eta: 2 days, 6:36:14 time: 0.7313 data_time: 0.4019 memory: 17350 grad_norm: 5.3786 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0022 loss: 2.0022 2022/07/22 16:06:19 - mmengine - INFO - Epoch(train) [22][720/3757] lr: 1.0000e-02 eta: 2 days, 6:35:53 time: 0.5675 data_time: 0.2383 memory: 17350 grad_norm: 5.4942 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2309 loss: 2.2309 2022/07/22 16:06:33 - mmengine - INFO - Epoch(train) [22][740/3757] lr: 1.0000e-02 eta: 2 days, 6:35:43 time: 0.7035 data_time: 0.3769 memory: 17350 grad_norm: 5.5540 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7572 loss: 1.7572 2022/07/22 16:06:46 - mmengine - INFO - Epoch(train) [22][760/3757] lr: 1.0000e-02 eta: 2 days, 6:35:28 time: 0.6332 data_time: 0.2266 memory: 17350 grad_norm: 5.4982 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9188 loss: 1.9188 2022/07/22 16:07:00 - mmengine - INFO - Epoch(train) [22][780/3757] lr: 1.0000e-02 eta: 2 days, 6:35:17 time: 0.7076 data_time: 0.3759 memory: 17350 grad_norm: 5.2772 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8502 loss: 1.8502 2022/07/22 16:07:12 - mmengine - INFO - Epoch(train) [22][800/3757] lr: 1.0000e-02 eta: 2 days, 6:34:57 time: 0.5697 data_time: 0.2104 memory: 17350 grad_norm: 5.3634 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9322 loss: 1.9322 2022/07/22 16:07:26 - mmengine - INFO - Epoch(train) [22][820/3757] lr: 1.0000e-02 eta: 2 days, 6:34:48 time: 0.7216 data_time: 0.3654 memory: 17350 grad_norm: 5.3477 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6004 loss: 1.6004 2022/07/22 16:07:38 - mmengine - INFO - Epoch(train) [22][840/3757] lr: 1.0000e-02 eta: 2 days, 6:34:31 time: 0.6056 data_time: 0.2394 memory: 17350 grad_norm: 5.3921 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9214 loss: 1.9214 2022/07/22 16:07:51 - mmengine - INFO - Epoch(train) [22][860/3757] lr: 1.0000e-02 eta: 2 days, 6:34:18 time: 0.6663 data_time: 0.3242 memory: 17350 grad_norm: 5.4431 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9605 loss: 1.9605 2022/07/22 16:08:04 - mmengine - INFO - Epoch(train) [22][880/3757] lr: 1.0000e-02 eta: 2 days, 6:34:02 time: 0.6287 data_time: 0.2467 memory: 17350 grad_norm: 5.4994 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1577 loss: 2.1577 2022/07/22 16:08:18 - mmengine - INFO - Epoch(train) [22][900/3757] lr: 1.0000e-02 eta: 2 days, 6:33:51 time: 0.6981 data_time: 0.3633 memory: 17350 grad_norm: 5.5138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9009 loss: 1.9009 2022/07/22 16:08:31 - mmengine - INFO - Epoch(train) [22][920/3757] lr: 1.0000e-02 eta: 2 days, 6:33:38 time: 0.6736 data_time: 0.3479 memory: 17350 grad_norm: 5.4490 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6839 loss: 1.6839 2022/07/22 16:08:45 - mmengine - INFO - Epoch(train) [22][940/3757] lr: 1.0000e-02 eta: 2 days, 6:33:25 time: 0.6640 data_time: 0.3398 memory: 17350 grad_norm: 5.3367 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9459 loss: 1.9459 2022/07/22 16:08:59 - mmengine - INFO - Epoch(train) [22][960/3757] lr: 1.0000e-02 eta: 2 days, 6:33:16 time: 0.7241 data_time: 0.3185 memory: 17350 grad_norm: 5.3148 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8803 loss: 1.8803 2022/07/22 16:09:12 - mmengine - INFO - Epoch(train) [22][980/3757] lr: 1.0000e-02 eta: 2 days, 6:33:01 time: 0.6423 data_time: 0.1861 memory: 17350 grad_norm: 5.4838 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9003 loss: 1.9003 2022/07/22 16:09:26 - mmengine - INFO - Epoch(train) [22][1000/3757] lr: 1.0000e-02 eta: 2 days, 6:32:51 time: 0.6971 data_time: 0.0684 memory: 17350 grad_norm: 5.4520 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8779 loss: 1.8779 2022/07/22 16:09:39 - mmengine - INFO - Epoch(train) [22][1020/3757] lr: 1.0000e-02 eta: 2 days, 6:32:38 time: 0.6728 data_time: 0.1701 memory: 17350 grad_norm: 5.1860 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8347 loss: 1.8347 2022/07/22 16:09:52 - mmengine - INFO - Epoch(train) [22][1040/3757] lr: 1.0000e-02 eta: 2 days, 6:32:22 time: 0.6318 data_time: 0.1535 memory: 17350 grad_norm: 5.5231 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2182 loss: 2.2182 2022/07/22 16:10:07 - mmengine - INFO - Epoch(train) [22][1060/3757] lr: 1.0000e-02 eta: 2 days, 6:32:15 time: 0.7418 data_time: 0.2832 memory: 17350 grad_norm: 5.3989 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7228 loss: 1.7228 2022/07/22 16:10:19 - mmengine - INFO - Epoch(train) [22][1080/3757] lr: 1.0000e-02 eta: 2 days, 6:31:58 time: 0.6149 data_time: 0.1132 memory: 17350 grad_norm: 5.4886 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8142 loss: 1.8142 2022/07/22 16:10:33 - mmengine - INFO - Epoch(train) [22][1100/3757] lr: 1.0000e-02 eta: 2 days, 6:31:48 time: 0.7032 data_time: 0.1091 memory: 17350 grad_norm: 5.3884 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9712 loss: 1.9712 2022/07/22 16:10:35 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 16:10:46 - mmengine - INFO - Epoch(train) [22][1120/3757] lr: 1.0000e-02 eta: 2 days, 6:31:30 time: 0.6115 data_time: 0.0469 memory: 17350 grad_norm: 5.3353 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9806 loss: 1.9806 2022/07/22 16:11:00 - mmengine - INFO - Epoch(train) [22][1140/3757] lr: 1.0000e-02 eta: 2 days, 6:31:21 time: 0.7119 data_time: 0.0276 memory: 17350 grad_norm: 5.2850 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0231 loss: 2.0231 2022/07/22 16:11:12 - mmengine - INFO - Epoch(train) [22][1160/3757] lr: 1.0000e-02 eta: 2 days, 6:31:02 time: 0.5965 data_time: 0.0220 memory: 17350 grad_norm: 5.4754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8320 loss: 1.8320 2022/07/22 16:11:26 - mmengine - INFO - Epoch(train) [22][1180/3757] lr: 1.0000e-02 eta: 2 days, 6:30:52 time: 0.7060 data_time: 0.0218 memory: 17350 grad_norm: 5.2977 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9788 loss: 1.9788 2022/07/22 16:11:38 - mmengine - INFO - Epoch(train) [22][1200/3757] lr: 1.0000e-02 eta: 2 days, 6:30:37 time: 0.6325 data_time: 0.0210 memory: 17350 grad_norm: 5.1964 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9403 loss: 1.9403 2022/07/22 16:11:53 - mmengine - INFO - Epoch(train) [22][1220/3757] lr: 1.0000e-02 eta: 2 days, 6:30:29 time: 0.7364 data_time: 0.0216 memory: 17350 grad_norm: 5.4695 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2712 loss: 2.2712 2022/07/22 16:12:04 - mmengine - INFO - Epoch(train) [22][1240/3757] lr: 1.0000e-02 eta: 2 days, 6:30:07 time: 0.5530 data_time: 0.0233 memory: 17350 grad_norm: 5.4430 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2819 loss: 2.2819 2022/07/22 16:12:18 - mmengine - INFO - Epoch(train) [22][1260/3757] lr: 1.0000e-02 eta: 2 days, 6:29:57 time: 0.7058 data_time: 0.0930 memory: 17350 grad_norm: 5.6046 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9620 loss: 1.9620 2022/07/22 16:12:33 - mmengine - INFO - Epoch(train) [22][1280/3757] lr: 1.0000e-02 eta: 2 days, 6:29:49 time: 0.7305 data_time: 0.0236 memory: 17350 grad_norm: 5.5252 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9303 loss: 1.9303 2022/07/22 16:12:45 - mmengine - INFO - Epoch(train) [22][1300/3757] lr: 1.0000e-02 eta: 2 days, 6:29:29 time: 0.5782 data_time: 0.0218 memory: 17350 grad_norm: 5.7737 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9911 loss: 1.9911 2022/07/22 16:13:03 - mmengine - INFO - Epoch(train) [22][1320/3757] lr: 1.0000e-02 eta: 2 days, 6:29:33 time: 0.8992 data_time: 0.0224 memory: 17350 grad_norm: 5.4067 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8169 loss: 1.8169 2022/07/22 16:13:15 - mmengine - INFO - Epoch(train) [22][1340/3757] lr: 1.0000e-02 eta: 2 days, 6:29:17 time: 0.6248 data_time: 0.0218 memory: 17350 grad_norm: 5.4179 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8306 loss: 1.8306 2022/07/22 16:13:29 - mmengine - INFO - Epoch(train) [22][1360/3757] lr: 1.0000e-02 eta: 2 days, 6:29:05 time: 0.6815 data_time: 0.0229 memory: 17350 grad_norm: 5.1456 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7115 loss: 1.7115 2022/07/22 16:13:41 - mmengine - INFO - Epoch(train) [22][1380/3757] lr: 1.0000e-02 eta: 2 days, 6:28:47 time: 0.5980 data_time: 0.0219 memory: 17350 grad_norm: 5.5651 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1528 loss: 2.1528 2022/07/22 16:13:55 - mmengine - INFO - Epoch(train) [22][1400/3757] lr: 1.0000e-02 eta: 2 days, 6:28:36 time: 0.6915 data_time: 0.0210 memory: 17350 grad_norm: 5.2401 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9866 loss: 1.9866 2022/07/22 16:14:06 - mmengine - INFO - Epoch(train) [22][1420/3757] lr: 1.0000e-02 eta: 2 days, 6:28:17 time: 0.5917 data_time: 0.0225 memory: 17350 grad_norm: 5.4952 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8980 loss: 1.8980 2022/07/22 16:14:21 - mmengine - INFO - Epoch(train) [22][1440/3757] lr: 1.0000e-02 eta: 2 days, 6:28:11 time: 0.7553 data_time: 0.0216 memory: 17350 grad_norm: 5.2643 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8343 loss: 1.8343 2022/07/22 16:14:33 - mmengine - INFO - Epoch(train) [22][1460/3757] lr: 1.0000e-02 eta: 2 days, 6:27:51 time: 0.5853 data_time: 0.0238 memory: 17350 grad_norm: 5.2600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8584 loss: 1.8584 2022/07/22 16:14:48 - mmengine - INFO - Epoch(train) [22][1480/3757] lr: 1.0000e-02 eta: 2 days, 6:27:45 time: 0.7604 data_time: 0.0222 memory: 17350 grad_norm: 5.4374 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9162 loss: 1.9162 2022/07/22 16:15:01 - mmengine - INFO - Epoch(train) [22][1500/3757] lr: 1.0000e-02 eta: 2 days, 6:27:28 time: 0.6107 data_time: 0.0238 memory: 17350 grad_norm: 5.4181 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9564 loss: 1.9564 2022/07/22 16:15:15 - mmengine - INFO - Epoch(train) [22][1520/3757] lr: 1.0000e-02 eta: 2 days, 6:27:20 time: 0.7308 data_time: 0.0211 memory: 17350 grad_norm: 5.3411 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9532 loss: 1.9532 2022/07/22 16:15:27 - mmengine - INFO - Epoch(train) [22][1540/3757] lr: 1.0000e-02 eta: 2 days, 6:27:00 time: 0.5759 data_time: 0.0237 memory: 17350 grad_norm: 5.3033 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1782 loss: 2.1782 2022/07/22 16:15:41 - mmengine - INFO - Epoch(train) [22][1560/3757] lr: 1.0000e-02 eta: 2 days, 6:26:52 time: 0.7299 data_time: 0.0217 memory: 17350 grad_norm: 5.3263 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7580 loss: 1.7580 2022/07/22 16:15:53 - mmengine - INFO - Epoch(train) [22][1580/3757] lr: 1.0000e-02 eta: 2 days, 6:26:34 time: 0.5996 data_time: 0.0224 memory: 17350 grad_norm: 5.3900 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0720 loss: 2.0720 2022/07/22 16:16:08 - mmengine - INFO - Epoch(train) [22][1600/3757] lr: 1.0000e-02 eta: 2 days, 6:26:25 time: 0.7251 data_time: 0.0212 memory: 17350 grad_norm: 5.4877 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7323 loss: 1.7323 2022/07/22 16:16:20 - mmengine - INFO - Epoch(train) [22][1620/3757] lr: 1.0000e-02 eta: 2 days, 6:26:08 time: 0.6145 data_time: 0.0233 memory: 17350 grad_norm: 5.4239 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8300 loss: 1.8300 2022/07/22 16:16:34 - mmengine - INFO - Epoch(train) [22][1640/3757] lr: 1.0000e-02 eta: 2 days, 6:25:58 time: 0.7088 data_time: 0.0234 memory: 17350 grad_norm: 5.5187 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8765 loss: 1.8765 2022/07/22 16:16:46 - mmengine - INFO - Epoch(train) [22][1660/3757] lr: 1.0000e-02 eta: 2 days, 6:25:39 time: 0.5856 data_time: 0.0224 memory: 17350 grad_norm: 5.3544 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9171 loss: 1.9171 2022/07/22 16:17:00 - mmengine - INFO - Epoch(train) [22][1680/3757] lr: 1.0000e-02 eta: 2 days, 6:25:29 time: 0.7108 data_time: 0.0231 memory: 17350 grad_norm: 5.4873 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0525 loss: 2.0525 2022/07/22 16:17:13 - mmengine - INFO - Epoch(train) [22][1700/3757] lr: 1.0000e-02 eta: 2 days, 6:25:13 time: 0.6243 data_time: 0.0240 memory: 17350 grad_norm: 5.5614 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1068 loss: 2.1068 2022/07/22 16:17:27 - mmengine - INFO - Epoch(train) [22][1720/3757] lr: 1.0000e-02 eta: 2 days, 6:25:04 time: 0.7253 data_time: 0.0215 memory: 17350 grad_norm: 5.4718 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9398 loss: 1.9398 2022/07/22 16:17:39 - mmengine - INFO - Epoch(train) [22][1740/3757] lr: 1.0000e-02 eta: 2 days, 6:24:45 time: 0.5856 data_time: 0.0224 memory: 17350 grad_norm: 5.2799 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8052 loss: 1.8052 2022/07/22 16:17:54 - mmengine - INFO - Epoch(train) [22][1760/3757] lr: 1.0000e-02 eta: 2 days, 6:24:38 time: 0.7431 data_time: 0.0217 memory: 17350 grad_norm: 5.5081 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9747 loss: 1.9747 2022/07/22 16:18:06 - mmengine - INFO - Epoch(train) [22][1780/3757] lr: 1.0000e-02 eta: 2 days, 6:24:20 time: 0.6072 data_time: 0.0233 memory: 17350 grad_norm: 5.3921 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7896 loss: 1.7896 2022/07/22 16:18:21 - mmengine - INFO - Epoch(train) [22][1800/3757] lr: 1.0000e-02 eta: 2 days, 6:24:14 time: 0.7636 data_time: 0.0285 memory: 17350 grad_norm: 5.5010 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9732 loss: 1.9732 2022/07/22 16:18:32 - mmengine - INFO - Epoch(train) [22][1820/3757] lr: 1.0000e-02 eta: 2 days, 6:23:52 time: 0.5404 data_time: 0.0296 memory: 17350 grad_norm: 5.3561 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6328 loss: 1.6328 2022/07/22 16:18:47 - mmengine - INFO - Epoch(train) [22][1840/3757] lr: 1.0000e-02 eta: 2 days, 6:23:43 time: 0.7288 data_time: 0.0222 memory: 17350 grad_norm: 5.4189 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8902 loss: 1.8902 2022/07/22 16:18:59 - mmengine - INFO - Epoch(train) [22][1860/3757] lr: 1.0000e-02 eta: 2 days, 6:23:26 time: 0.6030 data_time: 0.0258 memory: 17350 grad_norm: 5.4372 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9889 loss: 1.9889 2022/07/22 16:19:13 - mmengine - INFO - Epoch(train) [22][1880/3757] lr: 1.0000e-02 eta: 2 days, 6:23:17 time: 0.7223 data_time: 0.0203 memory: 17350 grad_norm: 5.5206 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5715 loss: 1.5715 2022/07/22 16:19:25 - mmengine - INFO - Epoch(train) [22][1900/3757] lr: 1.0000e-02 eta: 2 days, 6:22:57 time: 0.5819 data_time: 0.0224 memory: 17350 grad_norm: 5.2803 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6566 loss: 1.6566 2022/07/22 16:19:40 - mmengine - INFO - Epoch(train) [22][1920/3757] lr: 1.0000e-02 eta: 2 days, 6:22:49 time: 0.7290 data_time: 0.0204 memory: 17350 grad_norm: 5.5659 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7417 loss: 1.7417 2022/07/22 16:19:52 - mmengine - INFO - Epoch(train) [22][1940/3757] lr: 1.0000e-02 eta: 2 days, 6:22:32 time: 0.6151 data_time: 0.0319 memory: 17350 grad_norm: 5.3902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1730 loss: 2.1730 2022/07/22 16:20:06 - mmengine - INFO - Epoch(train) [22][1960/3757] lr: 1.0000e-02 eta: 2 days, 6:22:22 time: 0.7084 data_time: 0.0228 memory: 17350 grad_norm: 5.2217 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0802 loss: 2.0802 2022/07/22 16:20:18 - mmengine - INFO - Epoch(train) [22][1980/3757] lr: 1.0000e-02 eta: 2 days, 6:22:06 time: 0.6254 data_time: 0.0260 memory: 17350 grad_norm: 5.3226 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2495 loss: 2.2495 2022/07/22 16:20:33 - mmengine - INFO - Epoch(train) [22][2000/3757] lr: 1.0000e-02 eta: 2 days, 6:21:57 time: 0.7285 data_time: 0.0220 memory: 17350 grad_norm: 5.4253 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9006 loss: 1.9006 2022/07/22 16:20:45 - mmengine - INFO - Epoch(train) [22][2020/3757] lr: 1.0000e-02 eta: 2 days, 6:21:40 time: 0.6087 data_time: 0.0226 memory: 17350 grad_norm: 5.3415 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8943 loss: 1.8943 2022/07/22 16:20:59 - mmengine - INFO - Epoch(train) [22][2040/3757] lr: 1.0000e-02 eta: 2 days, 6:21:28 time: 0.6760 data_time: 0.0212 memory: 17350 grad_norm: 5.5371 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1121 loss: 2.1121 2022/07/22 16:21:12 - mmengine - INFO - Epoch(train) [22][2060/3757] lr: 1.0000e-02 eta: 2 days, 6:21:15 time: 0.6729 data_time: 0.0224 memory: 17350 grad_norm: 5.4124 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9448 loss: 1.9448 2022/07/22 16:21:26 - mmengine - INFO - Epoch(train) [22][2080/3757] lr: 1.0000e-02 eta: 2 days, 6:21:02 time: 0.6714 data_time: 0.0209 memory: 17350 grad_norm: 5.3250 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0220 loss: 2.0220 2022/07/22 16:21:39 - mmengine - INFO - Epoch(train) [22][2100/3757] lr: 1.0000e-02 eta: 2 days, 6:20:48 time: 0.6506 data_time: 0.0649 memory: 17350 grad_norm: 5.5244 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1188 loss: 2.1188 2022/07/22 16:21:40 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 16:21:52 - mmengine - INFO - Epoch(train) [22][2120/3757] lr: 1.0000e-02 eta: 2 days, 6:20:35 time: 0.6628 data_time: 0.0852 memory: 17350 grad_norm: 5.2275 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9014 loss: 1.9014 2022/07/22 16:22:06 - mmengine - INFO - Epoch(train) [22][2140/3757] lr: 1.0000e-02 eta: 2 days, 6:20:23 time: 0.6863 data_time: 0.1362 memory: 17350 grad_norm: 5.2219 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0122 loss: 2.0122 2022/07/22 16:22:18 - mmengine - INFO - Epoch(train) [22][2160/3757] lr: 1.0000e-02 eta: 2 days, 6:20:06 time: 0.6135 data_time: 0.0858 memory: 17350 grad_norm: 5.2941 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8144 loss: 1.8144 2022/07/22 16:22:32 - mmengine - INFO - Epoch(train) [22][2180/3757] lr: 1.0000e-02 eta: 2 days, 6:19:56 time: 0.7084 data_time: 0.1563 memory: 17350 grad_norm: 5.3919 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0060 loss: 2.0060 2022/07/22 16:22:44 - mmengine - INFO - Epoch(train) [22][2200/3757] lr: 1.0000e-02 eta: 2 days, 6:19:39 time: 0.6179 data_time: 0.2067 memory: 17350 grad_norm: 5.5113 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0321 loss: 2.0321 2022/07/22 16:22:59 - mmengine - INFO - Epoch(train) [22][2220/3757] lr: 1.0000e-02 eta: 2 days, 6:19:30 time: 0.7205 data_time: 0.3707 memory: 17350 grad_norm: 5.4466 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5457 loss: 1.5457 2022/07/22 16:23:11 - mmengine - INFO - Epoch(train) [22][2240/3757] lr: 1.0000e-02 eta: 2 days, 6:19:11 time: 0.5823 data_time: 0.2326 memory: 17350 grad_norm: 5.3532 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2583 loss: 2.2583 2022/07/22 16:23:25 - mmengine - INFO - Epoch(train) [22][2260/3757] lr: 1.0000e-02 eta: 2 days, 6:19:01 time: 0.7100 data_time: 0.3134 memory: 17350 grad_norm: 5.3794 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1130 loss: 2.1130 2022/07/22 16:23:37 - mmengine - INFO - Epoch(train) [22][2280/3757] lr: 1.0000e-02 eta: 2 days, 6:18:43 time: 0.5925 data_time: 0.1363 memory: 17350 grad_norm: 5.2211 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9688 loss: 1.9688 2022/07/22 16:23:51 - mmengine - INFO - Epoch(train) [22][2300/3757] lr: 1.0000e-02 eta: 2 days, 6:18:33 time: 0.7182 data_time: 0.1917 memory: 17350 grad_norm: 5.4809 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8312 loss: 1.8312 2022/07/22 16:24:03 - mmengine - INFO - Epoch(train) [22][2320/3757] lr: 1.0000e-02 eta: 2 days, 6:18:15 time: 0.5949 data_time: 0.1540 memory: 17350 grad_norm: 5.3263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1116 loss: 2.1116 2022/07/22 16:24:17 - mmengine - INFO - Epoch(train) [22][2340/3757] lr: 1.0000e-02 eta: 2 days, 6:18:05 time: 0.7121 data_time: 0.2520 memory: 17350 grad_norm: 5.3317 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9119 loss: 1.9119 2022/07/22 16:24:29 - mmengine - INFO - Epoch(train) [22][2360/3757] lr: 1.0000e-02 eta: 2 days, 6:17:48 time: 0.6103 data_time: 0.2471 memory: 17350 grad_norm: 5.2043 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2862 loss: 2.2862 2022/07/22 16:24:43 - mmengine - INFO - Epoch(train) [22][2380/3757] lr: 1.0000e-02 eta: 2 days, 6:17:38 time: 0.7024 data_time: 0.3054 memory: 17350 grad_norm: 5.3077 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2620 loss: 2.2620 2022/07/22 16:24:56 - mmengine - INFO - Epoch(train) [22][2400/3757] lr: 1.0000e-02 eta: 2 days, 6:17:22 time: 0.6260 data_time: 0.2028 memory: 17350 grad_norm: 5.3540 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1719 loss: 2.1719 2022/07/22 16:25:10 - mmengine - INFO - Epoch(train) [22][2420/3757] lr: 1.0000e-02 eta: 2 days, 6:17:11 time: 0.7023 data_time: 0.1467 memory: 17350 grad_norm: 5.5247 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2243 loss: 2.2243 2022/07/22 16:25:23 - mmengine - INFO - Epoch(train) [22][2440/3757] lr: 1.0000e-02 eta: 2 days, 6:16:58 time: 0.6698 data_time: 0.0210 memory: 17350 grad_norm: 5.2322 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7648 loss: 1.7648 2022/07/22 16:25:38 - mmengine - INFO - Epoch(train) [22][2460/3757] lr: 1.0000e-02 eta: 2 days, 6:16:49 time: 0.7251 data_time: 0.0224 memory: 17350 grad_norm: 5.5080 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0946 loss: 2.0946 2022/07/22 16:25:50 - mmengine - INFO - Epoch(train) [22][2480/3757] lr: 1.0000e-02 eta: 2 days, 6:16:33 time: 0.6231 data_time: 0.0267 memory: 17350 grad_norm: 5.4152 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9715 loss: 1.9715 2022/07/22 16:26:03 - mmengine - INFO - Epoch(train) [22][2500/3757] lr: 1.0000e-02 eta: 2 days, 6:16:19 time: 0.6481 data_time: 0.0230 memory: 17350 grad_norm: 5.4588 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1633 loss: 2.1633 2022/07/22 16:26:18 - mmengine - INFO - Epoch(train) [22][2520/3757] lr: 1.0000e-02 eta: 2 days, 6:16:09 time: 0.7154 data_time: 0.0231 memory: 17350 grad_norm: 5.5183 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8778 loss: 1.8778 2022/07/22 16:26:30 - mmengine - INFO - Epoch(train) [22][2540/3757] lr: 1.0000e-02 eta: 2 days, 6:15:53 time: 0.6299 data_time: 0.0228 memory: 17350 grad_norm: 5.3968 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8790 loss: 1.8790 2022/07/22 16:26:44 - mmengine - INFO - Epoch(train) [22][2560/3757] lr: 1.0000e-02 eta: 2 days, 6:15:43 time: 0.7048 data_time: 0.0211 memory: 17350 grad_norm: 5.3310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1083 loss: 2.1083 2022/07/22 16:26:57 - mmengine - INFO - Epoch(train) [22][2580/3757] lr: 1.0000e-02 eta: 2 days, 6:15:26 time: 0.6112 data_time: 0.0219 memory: 17350 grad_norm: 5.3219 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0239 loss: 2.0239 2022/07/22 16:27:12 - mmengine - INFO - Epoch(train) [22][2600/3757] lr: 1.0000e-02 eta: 2 days, 6:15:19 time: 0.7512 data_time: 0.0210 memory: 17350 grad_norm: 5.3272 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0548 loss: 2.0548 2022/07/22 16:27:24 - mmengine - INFO - Epoch(train) [22][2620/3757] lr: 1.0000e-02 eta: 2 days, 6:15:02 time: 0.6081 data_time: 0.0240 memory: 17350 grad_norm: 5.3884 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8364 loss: 1.8364 2022/07/22 16:27:39 - mmengine - INFO - Epoch(train) [22][2640/3757] lr: 1.0000e-02 eta: 2 days, 6:14:54 time: 0.7431 data_time: 0.0286 memory: 17350 grad_norm: 5.2289 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7026 loss: 1.7026 2022/07/22 16:27:51 - mmengine - INFO - Epoch(train) [22][2660/3757] lr: 1.0000e-02 eta: 2 days, 6:14:37 time: 0.6023 data_time: 0.0225 memory: 17350 grad_norm: 5.3850 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6532 loss: 1.6532 2022/07/22 16:28:06 - mmengine - INFO - Epoch(train) [22][2680/3757] lr: 1.0000e-02 eta: 2 days, 6:14:29 time: 0.7448 data_time: 0.0199 memory: 17350 grad_norm: 5.4620 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0730 loss: 2.0730 2022/07/22 16:28:17 - mmengine - INFO - Epoch(train) [22][2700/3757] lr: 1.0000e-02 eta: 2 days, 6:14:08 time: 0.5604 data_time: 0.0230 memory: 17350 grad_norm: 5.6521 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3881 loss: 2.3881 2022/07/22 16:28:31 - mmengine - INFO - Epoch(train) [22][2720/3757] lr: 1.0000e-02 eta: 2 days, 6:13:58 time: 0.7106 data_time: 0.1022 memory: 17350 grad_norm: 5.3965 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0023 loss: 2.0023 2022/07/22 16:28:43 - mmengine - INFO - Epoch(train) [22][2740/3757] lr: 1.0000e-02 eta: 2 days, 6:13:40 time: 0.5883 data_time: 0.0983 memory: 17350 grad_norm: 5.3616 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9750 loss: 1.9750 2022/07/22 16:28:58 - mmengine - INFO - Epoch(train) [22][2760/3757] lr: 1.0000e-02 eta: 2 days, 6:13:33 time: 0.7527 data_time: 0.0579 memory: 17350 grad_norm: 5.3414 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0346 loss: 2.0346 2022/07/22 16:29:10 - mmengine - INFO - Epoch(train) [22][2780/3757] lr: 1.0000e-02 eta: 2 days, 6:13:14 time: 0.5845 data_time: 0.0282 memory: 17350 grad_norm: 5.3545 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8537 loss: 1.8537 2022/07/22 16:29:25 - mmengine - INFO - Epoch(train) [22][2800/3757] lr: 1.0000e-02 eta: 2 days, 6:13:07 time: 0.7582 data_time: 0.0487 memory: 17350 grad_norm: 5.3777 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7404 loss: 1.7404 2022/07/22 16:29:36 - mmengine - INFO - Epoch(train) [22][2820/3757] lr: 1.0000e-02 eta: 2 days, 6:12:48 time: 0.5818 data_time: 0.0220 memory: 17350 grad_norm: 5.5789 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7404 loss: 1.7404 2022/07/22 16:29:51 - mmengine - INFO - Epoch(train) [22][2840/3757] lr: 1.0000e-02 eta: 2 days, 6:12:39 time: 0.7223 data_time: 0.0224 memory: 17350 grad_norm: 5.4361 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1030 loss: 2.1030 2022/07/22 16:30:03 - mmengine - INFO - Epoch(train) [22][2860/3757] lr: 1.0000e-02 eta: 2 days, 6:12:22 time: 0.6134 data_time: 0.0223 memory: 17350 grad_norm: 5.6844 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0190 loss: 2.0190 2022/07/22 16:30:18 - mmengine - INFO - Epoch(train) [22][2880/3757] lr: 1.0000e-02 eta: 2 days, 6:12:13 time: 0.7223 data_time: 0.0216 memory: 17350 grad_norm: 5.6097 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.7742 loss: 1.7742 2022/07/22 16:30:30 - mmengine - INFO - Epoch(train) [22][2900/3757] lr: 1.0000e-02 eta: 2 days, 6:11:56 time: 0.6152 data_time: 0.0223 memory: 17350 grad_norm: 5.3470 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8816 loss: 1.8816 2022/07/22 16:30:43 - mmengine - INFO - Epoch(train) [22][2920/3757] lr: 1.0000e-02 eta: 2 days, 6:11:44 time: 0.6721 data_time: 0.0222 memory: 17350 grad_norm: 5.4419 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9078 loss: 1.9078 2022/07/22 16:30:57 - mmengine - INFO - Epoch(train) [22][2940/3757] lr: 1.0000e-02 eta: 2 days, 6:11:33 time: 0.6944 data_time: 0.0226 memory: 17350 grad_norm: 5.3356 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2067 loss: 2.2067 2022/07/22 16:31:09 - mmengine - INFO - Epoch(train) [22][2960/3757] lr: 1.0000e-02 eta: 2 days, 6:11:15 time: 0.5976 data_time: 0.0221 memory: 17350 grad_norm: 5.4400 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0751 loss: 2.0751 2022/07/22 16:31:23 - mmengine - INFO - Epoch(train) [22][2980/3757] lr: 1.0000e-02 eta: 2 days, 6:11:03 time: 0.6929 data_time: 0.0227 memory: 17350 grad_norm: 5.4829 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0836 loss: 2.0836 2022/07/22 16:31:35 - mmengine - INFO - Epoch(train) [22][3000/3757] lr: 1.0000e-02 eta: 2 days, 6:10:46 time: 0.6111 data_time: 0.0218 memory: 17350 grad_norm: 5.2646 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9099 loss: 1.9099 2022/07/22 16:31:49 - mmengine - INFO - Epoch(train) [22][3020/3757] lr: 1.0000e-02 eta: 2 days, 6:10:36 time: 0.7022 data_time: 0.0675 memory: 17350 grad_norm: 5.2520 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0387 loss: 2.0387 2022/07/22 16:32:03 - mmengine - INFO - Epoch(train) [22][3040/3757] lr: 1.0000e-02 eta: 2 days, 6:10:23 time: 0.6777 data_time: 0.0233 memory: 17350 grad_norm: 5.4248 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9121 loss: 1.9121 2022/07/22 16:32:17 - mmengine - INFO - Epoch(train) [22][3060/3757] lr: 1.0000e-02 eta: 2 days, 6:10:12 time: 0.6891 data_time: 0.0206 memory: 17350 grad_norm: 5.5535 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.2479 loss: 2.2479 2022/07/22 16:32:30 - mmengine - INFO - Epoch(train) [22][3080/3757] lr: 1.0000e-02 eta: 2 days, 6:09:58 time: 0.6489 data_time: 0.0249 memory: 17350 grad_norm: 5.4306 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1585 loss: 2.1585 2022/07/22 16:32:44 - mmengine - INFO - Epoch(train) [22][3100/3757] lr: 1.0000e-02 eta: 2 days, 6:09:47 time: 0.6956 data_time: 0.0243 memory: 17350 grad_norm: 5.1435 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9474 loss: 1.9474 2022/07/22 16:32:45 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 16:32:56 - mmengine - INFO - Epoch(train) [22][3120/3757] lr: 1.0000e-02 eta: 2 days, 6:09:32 time: 0.6396 data_time: 0.0229 memory: 17350 grad_norm: 5.5035 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9174 loss: 1.9174 2022/07/22 16:33:10 - mmengine - INFO - Epoch(train) [22][3140/3757] lr: 1.0000e-02 eta: 2 days, 6:09:19 time: 0.6690 data_time: 0.0223 memory: 17350 grad_norm: 5.6741 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9977 loss: 1.9977 2022/07/22 16:33:23 - mmengine - INFO - Epoch(train) [22][3160/3757] lr: 1.0000e-02 eta: 2 days, 6:09:04 time: 0.6466 data_time: 0.0221 memory: 17350 grad_norm: 5.3195 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.4614 loss: 2.4614 2022/07/22 16:33:36 - mmengine - INFO - Epoch(train) [22][3180/3757] lr: 1.0000e-02 eta: 2 days, 6:08:52 time: 0.6795 data_time: 0.0225 memory: 17350 grad_norm: 5.5950 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2481 loss: 2.2481 2022/07/22 16:33:50 - mmengine - INFO - Epoch(train) [22][3200/3757] lr: 1.0000e-02 eta: 2 days, 6:08:39 time: 0.6654 data_time: 0.0221 memory: 17350 grad_norm: 5.4337 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0034 loss: 2.0034 2022/07/22 16:34:03 - mmengine - INFO - Epoch(train) [22][3220/3757] lr: 1.0000e-02 eta: 2 days, 6:08:27 time: 0.6811 data_time: 0.0223 memory: 17350 grad_norm: 5.4909 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8223 loss: 1.8223 2022/07/22 16:34:15 - mmengine - INFO - Epoch(train) [22][3240/3757] lr: 1.0000e-02 eta: 2 days, 6:08:09 time: 0.5980 data_time: 0.0213 memory: 17350 grad_norm: 5.3813 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9277 loss: 1.9277 2022/07/22 16:34:30 - mmengine - INFO - Epoch(train) [22][3260/3757] lr: 1.0000e-02 eta: 2 days, 6:08:02 time: 0.7534 data_time: 0.0231 memory: 17350 grad_norm: 5.5983 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0255 loss: 2.0255 2022/07/22 16:34:42 - mmengine - INFO - Epoch(train) [22][3280/3757] lr: 1.0000e-02 eta: 2 days, 6:07:45 time: 0.6074 data_time: 0.0258 memory: 17350 grad_norm: 5.2506 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6744 loss: 1.6744 2022/07/22 16:34:57 - mmengine - INFO - Epoch(train) [22][3300/3757] lr: 1.0000e-02 eta: 2 days, 6:07:35 time: 0.7092 data_time: 0.0212 memory: 17350 grad_norm: 5.2315 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9138 loss: 1.9138 2022/07/22 16:35:09 - mmengine - INFO - Epoch(train) [22][3320/3757] lr: 1.0000e-02 eta: 2 days, 6:07:17 time: 0.6035 data_time: 0.0250 memory: 17350 grad_norm: 5.4513 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2633 loss: 2.2633 2022/07/22 16:35:23 - mmengine - INFO - Epoch(train) [22][3340/3757] lr: 1.0000e-02 eta: 2 days, 6:07:07 time: 0.7109 data_time: 0.0250 memory: 17350 grad_norm: 5.4482 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2751 loss: 2.2751 2022/07/22 16:35:34 - mmengine - INFO - Epoch(train) [22][3360/3757] lr: 1.0000e-02 eta: 2 days, 6:06:48 time: 0.5770 data_time: 0.0453 memory: 17350 grad_norm: 5.3087 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6954 loss: 1.6954 2022/07/22 16:35:49 - mmengine - INFO - Epoch(train) [22][3380/3757] lr: 1.0000e-02 eta: 2 days, 6:06:38 time: 0.7211 data_time: 0.0954 memory: 17350 grad_norm: 5.5038 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9360 loss: 1.9360 2022/07/22 16:36:01 - mmengine - INFO - Epoch(train) [22][3400/3757] lr: 1.0000e-02 eta: 2 days, 6:06:23 time: 0.6290 data_time: 0.0313 memory: 17350 grad_norm: 5.5489 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2551 loss: 2.2551 2022/07/22 16:36:16 - mmengine - INFO - Epoch(train) [22][3420/3757] lr: 1.0000e-02 eta: 2 days, 6:06:12 time: 0.7055 data_time: 0.0233 memory: 17350 grad_norm: 5.4186 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6305 loss: 1.6305 2022/07/22 16:36:28 - mmengine - INFO - Epoch(train) [22][3440/3757] lr: 1.0000e-02 eta: 2 days, 6:05:56 time: 0.6183 data_time: 0.0230 memory: 17350 grad_norm: 5.3280 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9226 loss: 1.9226 2022/07/22 16:36:43 - mmengine - INFO - Epoch(train) [22][3460/3757] lr: 1.0000e-02 eta: 2 days, 6:05:49 time: 0.7500 data_time: 0.0217 memory: 17350 grad_norm: 5.6639 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7569 loss: 1.7569 2022/07/22 16:36:56 - mmengine - INFO - Epoch(train) [22][3480/3757] lr: 1.0000e-02 eta: 2 days, 6:05:33 time: 0.6364 data_time: 0.0629 memory: 17350 grad_norm: 5.5975 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1657 loss: 2.1657 2022/07/22 16:37:10 - mmengine - INFO - Epoch(train) [22][3500/3757] lr: 1.0000e-02 eta: 2 days, 6:05:25 time: 0.7379 data_time: 0.0228 memory: 17350 grad_norm: 5.4743 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7936 loss: 1.7936 2022/07/22 16:37:22 - mmengine - INFO - Epoch(train) [22][3520/3757] lr: 1.0000e-02 eta: 2 days, 6:05:07 time: 0.5962 data_time: 0.0277 memory: 17350 grad_norm: 5.3365 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0983 loss: 2.0983 2022/07/22 16:37:37 - mmengine - INFO - Epoch(train) [22][3540/3757] lr: 1.0000e-02 eta: 2 days, 6:04:58 time: 0.7247 data_time: 0.0215 memory: 17350 grad_norm: 5.5442 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1901 loss: 2.1901 2022/07/22 16:37:49 - mmengine - INFO - Epoch(train) [22][3560/3757] lr: 1.0000e-02 eta: 2 days, 6:04:42 time: 0.6188 data_time: 0.0227 memory: 17350 grad_norm: 5.4368 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8202 loss: 1.8202 2022/07/22 16:38:03 - mmengine - INFO - Epoch(train) [22][3580/3757] lr: 1.0000e-02 eta: 2 days, 6:04:31 time: 0.6920 data_time: 0.0207 memory: 17350 grad_norm: 5.2270 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7602 loss: 1.7602 2022/07/22 16:38:15 - mmengine - INFO - Epoch(train) [22][3600/3757] lr: 1.0000e-02 eta: 2 days, 6:04:12 time: 0.5839 data_time: 0.0209 memory: 17350 grad_norm: 5.3667 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9131 loss: 1.9131 2022/07/22 16:38:29 - mmengine - INFO - Epoch(train) [22][3620/3757] lr: 1.0000e-02 eta: 2 days, 6:04:02 time: 0.7208 data_time: 0.0238 memory: 17350 grad_norm: 5.3732 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0145 loss: 2.0145 2022/07/22 16:38:42 - mmengine - INFO - Epoch(train) [22][3640/3757] lr: 1.0000e-02 eta: 2 days, 6:03:47 time: 0.6271 data_time: 0.0217 memory: 17350 grad_norm: 5.2821 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8792 loss: 1.8792 2022/07/22 16:38:56 - mmengine - INFO - Epoch(train) [22][3660/3757] lr: 1.0000e-02 eta: 2 days, 6:03:37 time: 0.7111 data_time: 0.0223 memory: 17350 grad_norm: 5.2989 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8605 loss: 1.8605 2022/07/22 16:39:09 - mmengine - INFO - Epoch(train) [22][3680/3757] lr: 1.0000e-02 eta: 2 days, 6:03:21 time: 0.6307 data_time: 0.0226 memory: 17350 grad_norm: 5.3683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9251 loss: 1.9251 2022/07/22 16:39:23 - mmengine - INFO - Epoch(train) [22][3700/3757] lr: 1.0000e-02 eta: 2 days, 6:03:11 time: 0.7149 data_time: 0.0230 memory: 17350 grad_norm: 5.3112 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9407 loss: 1.9407 2022/07/22 16:39:35 - mmengine - INFO - Epoch(train) [22][3720/3757] lr: 1.0000e-02 eta: 2 days, 6:02:54 time: 0.6004 data_time: 0.0226 memory: 17350 grad_norm: 5.3632 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7854 loss: 1.7854 2022/07/22 16:39:50 - mmengine - INFO - Epoch(train) [22][3740/3757] lr: 1.0000e-02 eta: 2 days, 6:02:48 time: 0.7666 data_time: 0.0234 memory: 17350 grad_norm: 5.5457 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0941 loss: 2.0941 2022/07/22 16:39:57 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 16:39:57 - mmengine - INFO - Epoch(train) [22][3757/3757] lr: 1.0000e-02 eta: 2 days, 6:02:48 time: 0.4960 data_time: 0.0204 memory: 17350 grad_norm: 5.6318 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.0675 loss: 2.0675 2022/07/22 16:40:14 - mmengine - INFO - Epoch(val) [22][20/310] eta: 0:04:08 time: 0.8581 data_time: 0.7445 memory: 3406 2022/07/22 16:40:25 - mmengine - INFO - Epoch(val) [22][40/310] eta: 0:02:33 time: 0.5702 data_time: 0.4584 memory: 3406 2022/07/22 16:40:40 - mmengine - INFO - Epoch(val) [22][60/310] eta: 0:03:03 time: 0.7356 data_time: 0.6225 memory: 3406 2022/07/22 16:40:51 - mmengine - INFO - Epoch(val) [22][80/310] eta: 0:02:09 time: 0.5651 data_time: 0.4508 memory: 3406 2022/07/22 16:41:07 - mmengine - INFO - Epoch(val) [22][100/310] eta: 0:02:45 time: 0.7898 data_time: 0.6756 memory: 3406 2022/07/22 16:41:18 - mmengine - INFO - Epoch(val) [22][120/310] eta: 0:01:43 time: 0.5422 data_time: 0.4280 memory: 3406 2022/07/22 16:41:33 - mmengine - INFO - Epoch(val) [22][140/310] eta: 0:02:11 time: 0.7757 data_time: 0.6603 memory: 3406 2022/07/22 16:41:45 - mmengine - INFO - Epoch(val) [22][160/310] eta: 0:01:24 time: 0.5649 data_time: 0.4522 memory: 3406 2022/07/22 16:42:00 - mmengine - INFO - Epoch(val) [22][180/310] eta: 0:01:39 time: 0.7678 data_time: 0.6553 memory: 3406 2022/07/22 16:42:11 - mmengine - INFO - Epoch(val) [22][200/310] eta: 0:01:01 time: 0.5547 data_time: 0.4427 memory: 3406 2022/07/22 16:42:27 - mmengine - INFO - Epoch(val) [22][220/310] eta: 0:01:12 time: 0.8008 data_time: 0.6887 memory: 3406 2022/07/22 16:42:38 - mmengine - INFO - Epoch(val) [22][240/310] eta: 0:00:37 time: 0.5318 data_time: 0.4196 memory: 3406 2022/07/22 16:42:53 - mmengine - INFO - Epoch(val) [22][260/310] eta: 0:00:37 time: 0.7434 data_time: 0.6306 memory: 3406 2022/07/22 16:43:04 - mmengine - INFO - Epoch(val) [22][280/310] eta: 0:00:16 time: 0.5563 data_time: 0.4443 memory: 3406 2022/07/22 16:43:18 - mmengine - INFO - Epoch(val) [22][300/310] eta: 0:00:07 time: 0.7226 data_time: 0.6089 memory: 3406 2022/07/22 16:43:22 - mmengine - INFO - Epoch(val) [22][310/310] acc/top1: 0.5613 acc/top5: 0.8068 acc/mean1: 0.5613 2022/07/22 16:43:40 - mmengine - INFO - Epoch(train) [23][20/3757] lr: 1.0000e-02 eta: 2 days, 6:02:01 time: 0.9116 data_time: 0.5754 memory: 17350 grad_norm: 5.2129 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7897 loss: 1.7897 2022/07/22 16:43:52 - mmengine - INFO - Epoch(train) [23][40/3757] lr: 1.0000e-02 eta: 2 days, 6:01:43 time: 0.6031 data_time: 0.2724 memory: 17350 grad_norm: 5.3563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1066 loss: 2.1066 2022/07/22 16:44:06 - mmengine - INFO - Epoch(train) [23][60/3757] lr: 1.0000e-02 eta: 2 days, 6:01:33 time: 0.7169 data_time: 0.3661 memory: 17350 grad_norm: 5.3564 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1055 loss: 2.1055 2022/07/22 16:44:18 - mmengine - INFO - Epoch(train) [23][80/3757] lr: 1.0000e-02 eta: 2 days, 6:01:16 time: 0.5998 data_time: 0.1727 memory: 17350 grad_norm: 5.4831 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9251 loss: 1.9251 2022/07/22 16:44:33 - mmengine - INFO - Epoch(train) [23][100/3757] lr: 1.0000e-02 eta: 2 days, 6:01:07 time: 0.7257 data_time: 0.2553 memory: 17350 grad_norm: 5.3495 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8110 loss: 1.8110 2022/07/22 16:44:46 - mmengine - INFO - Epoch(train) [23][120/3757] lr: 1.0000e-02 eta: 2 days, 6:00:51 time: 0.6268 data_time: 0.2171 memory: 17350 grad_norm: 5.2704 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6888 loss: 1.6888 2022/07/22 16:45:00 - mmengine - INFO - Epoch(train) [23][140/3757] lr: 1.0000e-02 eta: 2 days, 6:00:42 time: 0.7283 data_time: 0.1808 memory: 17350 grad_norm: 5.4177 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 1.9675 loss: 1.9675 2022/07/22 16:45:13 - mmengine - INFO - Epoch(train) [23][160/3757] lr: 1.0000e-02 eta: 2 days, 6:00:26 time: 0.6248 data_time: 0.1403 memory: 17350 grad_norm: 5.1600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9604 loss: 1.9604 2022/07/22 16:45:27 - mmengine - INFO - Epoch(train) [23][180/3757] lr: 1.0000e-02 eta: 2 days, 6:00:17 time: 0.7269 data_time: 0.0675 memory: 17350 grad_norm: 5.4931 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0024 loss: 2.0024 2022/07/22 16:45:39 - mmengine - INFO - Epoch(train) [23][200/3757] lr: 1.0000e-02 eta: 2 days, 6:00:00 time: 0.6064 data_time: 0.0221 memory: 17350 grad_norm: 5.5395 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1744 loss: 2.1744 2022/07/22 16:45:53 - mmengine - INFO - Epoch(train) [23][220/3757] lr: 1.0000e-02 eta: 2 days, 5:59:50 time: 0.7085 data_time: 0.0318 memory: 17350 grad_norm: 5.3764 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9415 loss: 1.9415 2022/07/22 16:46:06 - mmengine - INFO - Epoch(train) [23][240/3757] lr: 1.0000e-02 eta: 2 days, 5:59:32 time: 0.6031 data_time: 0.0276 memory: 17350 grad_norm: 5.5174 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9277 loss: 1.9277 2022/07/22 16:46:20 - mmengine - INFO - Epoch(train) [23][260/3757] lr: 1.0000e-02 eta: 2 days, 5:59:23 time: 0.7234 data_time: 0.0229 memory: 17350 grad_norm: 5.3706 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1570 loss: 2.1570 2022/07/22 16:46:32 - mmengine - INFO - Epoch(train) [23][280/3757] lr: 1.0000e-02 eta: 2 days, 5:59:06 time: 0.6088 data_time: 0.0226 memory: 17350 grad_norm: 5.4651 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1217 loss: 2.1217 2022/07/22 16:46:47 - mmengine - INFO - Epoch(train) [23][300/3757] lr: 1.0000e-02 eta: 2 days, 5:58:56 time: 0.7157 data_time: 0.0328 memory: 17350 grad_norm: 5.1990 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8479 loss: 1.8479 2022/07/22 16:46:58 - mmengine - INFO - Epoch(train) [23][320/3757] lr: 1.0000e-02 eta: 2 days, 5:58:38 time: 0.5925 data_time: 0.0427 memory: 17350 grad_norm: 5.3140 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1165 loss: 2.1165 2022/07/22 16:47:13 - mmengine - INFO - Epoch(train) [23][340/3757] lr: 1.0000e-02 eta: 2 days, 5:58:31 time: 0.7487 data_time: 0.0231 memory: 17350 grad_norm: 5.2645 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6966 loss: 1.6966 2022/07/22 16:47:18 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 16:47:25 - mmengine - INFO - Epoch(train) [23][360/3757] lr: 1.0000e-02 eta: 2 days, 5:58:12 time: 0.5912 data_time: 0.0237 memory: 17350 grad_norm: 5.5035 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9760 loss: 1.9760 2022/07/22 16:47:39 - mmengine - INFO - Epoch(train) [23][380/3757] lr: 1.0000e-02 eta: 2 days, 5:58:02 time: 0.7095 data_time: 0.0440 memory: 17350 grad_norm: 5.3371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9756 loss: 1.9756 2022/07/22 16:47:52 - mmengine - INFO - Epoch(train) [23][400/3757] lr: 1.0000e-02 eta: 2 days, 5:57:47 time: 0.6367 data_time: 0.0200 memory: 17350 grad_norm: 5.3067 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0700 loss: 2.0700 2022/07/22 16:48:06 - mmengine - INFO - Epoch(train) [23][420/3757] lr: 1.0000e-02 eta: 2 days, 5:57:37 time: 0.7151 data_time: 0.0228 memory: 17350 grad_norm: 5.3876 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9565 loss: 1.9565 2022/07/22 16:48:19 - mmengine - INFO - Epoch(train) [23][440/3757] lr: 1.0000e-02 eta: 2 days, 5:57:20 time: 0.6096 data_time: 0.0305 memory: 17350 grad_norm: 5.4981 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1413 loss: 2.1413 2022/07/22 16:48:33 - mmengine - INFO - Epoch(train) [23][460/3757] lr: 1.0000e-02 eta: 2 days, 5:57:11 time: 0.7173 data_time: 0.0233 memory: 17350 grad_norm: 5.4725 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8140 loss: 1.8140 2022/07/22 16:48:45 - mmengine - INFO - Epoch(train) [23][480/3757] lr: 1.0000e-02 eta: 2 days, 5:56:53 time: 0.6054 data_time: 0.0244 memory: 17350 grad_norm: 5.2155 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0124 loss: 2.0124 2022/07/22 16:48:59 - mmengine - INFO - Epoch(train) [23][500/3757] lr: 1.0000e-02 eta: 2 days, 5:56:44 time: 0.7134 data_time: 0.0221 memory: 17350 grad_norm: 5.3224 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6553 loss: 1.6553 2022/07/22 16:49:11 - mmengine - INFO - Epoch(train) [23][520/3757] lr: 1.0000e-02 eta: 2 days, 5:56:26 time: 0.5949 data_time: 0.0234 memory: 17350 grad_norm: 5.4754 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8285 loss: 1.8285 2022/07/22 16:49:26 - mmengine - INFO - Epoch(train) [23][540/3757] lr: 1.0000e-02 eta: 2 days, 5:56:17 time: 0.7368 data_time: 0.0251 memory: 17350 grad_norm: 5.6217 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8448 loss: 1.8448 2022/07/22 16:49:38 - mmengine - INFO - Epoch(train) [23][560/3757] lr: 1.0000e-02 eta: 2 days, 5:56:00 time: 0.6101 data_time: 0.0253 memory: 17350 grad_norm: 5.3838 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6910 loss: 1.6910 2022/07/22 16:49:53 - mmengine - INFO - Epoch(train) [23][580/3757] lr: 1.0000e-02 eta: 2 days, 5:55:52 time: 0.7322 data_time: 0.0212 memory: 17350 grad_norm: 5.4763 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9507 loss: 1.9507 2022/07/22 16:50:04 - mmengine - INFO - Epoch(train) [23][600/3757] lr: 1.0000e-02 eta: 2 days, 5:55:32 time: 0.5705 data_time: 0.0250 memory: 17350 grad_norm: 5.3566 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9065 loss: 1.9065 2022/07/22 16:50:19 - mmengine - INFO - Epoch(train) [23][620/3757] lr: 1.0000e-02 eta: 2 days, 5:55:24 time: 0.7425 data_time: 0.0228 memory: 17350 grad_norm: 5.4121 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0092 loss: 2.0092 2022/07/22 16:50:31 - mmengine - INFO - Epoch(train) [23][640/3757] lr: 1.0000e-02 eta: 2 days, 5:55:07 time: 0.6106 data_time: 0.0243 memory: 17350 grad_norm: 5.7027 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0721 loss: 2.0721 2022/07/22 16:50:46 - mmengine - INFO - Epoch(train) [23][660/3757] lr: 1.0000e-02 eta: 2 days, 5:54:59 time: 0.7393 data_time: 0.0320 memory: 17350 grad_norm: 5.5551 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9497 loss: 1.9497 2022/07/22 16:50:58 - mmengine - INFO - Epoch(train) [23][680/3757] lr: 1.0000e-02 eta: 2 days, 5:54:43 time: 0.6143 data_time: 0.0215 memory: 17350 grad_norm: 5.4485 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8699 loss: 1.8699 2022/07/22 16:51:13 - mmengine - INFO - Epoch(train) [23][700/3757] lr: 1.0000e-02 eta: 2 days, 5:54:34 time: 0.7328 data_time: 0.0224 memory: 17350 grad_norm: 5.5397 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9864 loss: 1.9864 2022/07/22 16:51:25 - mmengine - INFO - Epoch(train) [23][720/3757] lr: 1.0000e-02 eta: 2 days, 5:54:16 time: 0.5939 data_time: 0.0243 memory: 17350 grad_norm: 5.6262 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9264 loss: 1.9264 2022/07/22 16:51:39 - mmengine - INFO - Epoch(train) [23][740/3757] lr: 1.0000e-02 eta: 2 days, 5:54:05 time: 0.7018 data_time: 0.0216 memory: 17350 grad_norm: 5.4996 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0887 loss: 2.0887 2022/07/22 16:51:51 - mmengine - INFO - Epoch(train) [23][760/3757] lr: 1.0000e-02 eta: 2 days, 5:53:47 time: 0.5920 data_time: 0.0225 memory: 17350 grad_norm: 5.3808 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0352 loss: 2.0352 2022/07/22 16:52:06 - mmengine - INFO - Epoch(train) [23][780/3757] lr: 1.0000e-02 eta: 2 days, 5:53:40 time: 0.7465 data_time: 0.0216 memory: 17350 grad_norm: 5.5989 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9453 loss: 1.9453 2022/07/22 16:52:18 - mmengine - INFO - Epoch(train) [23][800/3757] lr: 1.0000e-02 eta: 2 days, 5:53:23 time: 0.6214 data_time: 0.0228 memory: 17350 grad_norm: 5.4624 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9963 loss: 1.9963 2022/07/22 16:52:33 - mmengine - INFO - Epoch(train) [23][820/3757] lr: 1.0000e-02 eta: 2 days, 5:53:17 time: 0.7600 data_time: 0.0225 memory: 17350 grad_norm: 5.6201 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9970 loss: 1.9970 2022/07/22 16:52:45 - mmengine - INFO - Epoch(train) [23][840/3757] lr: 1.0000e-02 eta: 2 days, 5:52:58 time: 0.5882 data_time: 0.0212 memory: 17350 grad_norm: 5.4213 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8847 loss: 1.8847 2022/07/22 16:52:59 - mmengine - INFO - Epoch(train) [23][860/3757] lr: 1.0000e-02 eta: 2 days, 5:52:48 time: 0.7108 data_time: 0.0307 memory: 17350 grad_norm: 5.4937 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8428 loss: 1.8428 2022/07/22 16:53:12 - mmengine - INFO - Epoch(train) [23][880/3757] lr: 1.0000e-02 eta: 2 days, 5:52:32 time: 0.6160 data_time: 0.0232 memory: 17350 grad_norm: 5.4442 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8851 loss: 1.8851 2022/07/22 16:53:26 - mmengine - INFO - Epoch(train) [23][900/3757] lr: 1.0000e-02 eta: 2 days, 5:52:22 time: 0.7198 data_time: 0.0223 memory: 17350 grad_norm: 5.4983 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9075 loss: 1.9075 2022/07/22 16:53:38 - mmengine - INFO - Epoch(train) [23][920/3757] lr: 1.0000e-02 eta: 2 days, 5:52:05 time: 0.6064 data_time: 0.0219 memory: 17350 grad_norm: 5.3172 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7046 loss: 1.7046 2022/07/22 16:53:53 - mmengine - INFO - Epoch(train) [23][940/3757] lr: 1.0000e-02 eta: 2 days, 5:51:55 time: 0.7189 data_time: 0.1264 memory: 17350 grad_norm: 5.5073 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7708 loss: 1.7708 2022/07/22 16:54:05 - mmengine - INFO - Epoch(train) [23][960/3757] lr: 1.0000e-02 eta: 2 days, 5:51:39 time: 0.6148 data_time: 0.0737 memory: 17350 grad_norm: 5.5954 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0521 loss: 2.0521 2022/07/22 16:54:20 - mmengine - INFO - Epoch(train) [23][980/3757] lr: 1.0000e-02 eta: 2 days, 5:51:30 time: 0.7299 data_time: 0.0533 memory: 17350 grad_norm: 5.5609 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0086 loss: 2.0086 2022/07/22 16:54:32 - mmengine - INFO - Epoch(train) [23][1000/3757] lr: 1.0000e-02 eta: 2 days, 5:51:15 time: 0.6364 data_time: 0.0373 memory: 17350 grad_norm: 5.3349 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7225 loss: 1.7225 2022/07/22 16:54:46 - mmengine - INFO - Epoch(train) [23][1020/3757] lr: 1.0000e-02 eta: 2 days, 5:51:03 time: 0.6871 data_time: 0.0242 memory: 17350 grad_norm: 5.5705 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0933 loss: 2.0933 2022/07/22 16:54:58 - mmengine - INFO - Epoch(train) [23][1040/3757] lr: 1.0000e-02 eta: 2 days, 5:50:45 time: 0.5968 data_time: 0.0239 memory: 17350 grad_norm: 5.4548 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9624 loss: 1.9624 2022/07/22 16:55:14 - mmengine - INFO - Epoch(train) [23][1060/3757] lr: 1.0000e-02 eta: 2 days, 5:50:40 time: 0.7738 data_time: 0.0227 memory: 17350 grad_norm: 5.7363 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9963 loss: 1.9963 2022/07/22 16:55:26 - mmengine - INFO - Epoch(train) [23][1080/3757] lr: 1.0000e-02 eta: 2 days, 5:50:22 time: 0.6056 data_time: 0.0230 memory: 17350 grad_norm: 5.4319 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0888 loss: 2.0888 2022/07/22 16:55:40 - mmengine - INFO - Epoch(train) [23][1100/3757] lr: 1.0000e-02 eta: 2 days, 5:50:13 time: 0.7167 data_time: 0.0221 memory: 17350 grad_norm: 5.2368 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0001 loss: 2.0001 2022/07/22 16:55:51 - mmengine - INFO - Epoch(train) [23][1120/3757] lr: 1.0000e-02 eta: 2 days, 5:49:53 time: 0.5724 data_time: 0.0220 memory: 17350 grad_norm: 5.3406 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0722 loss: 2.0722 2022/07/22 16:56:05 - mmengine - INFO - Epoch(train) [23][1140/3757] lr: 1.0000e-02 eta: 2 days, 5:49:42 time: 0.6993 data_time: 0.0237 memory: 17350 grad_norm: 5.3969 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0377 loss: 2.0377 2022/07/22 16:56:18 - mmengine - INFO - Epoch(train) [23][1160/3757] lr: 1.0000e-02 eta: 2 days, 5:49:27 time: 0.6409 data_time: 0.0252 memory: 17350 grad_norm: 5.3509 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9837 loss: 1.9837 2022/07/22 16:56:33 - mmengine - INFO - Epoch(train) [23][1180/3757] lr: 1.0000e-02 eta: 2 days, 5:49:19 time: 0.7387 data_time: 0.0230 memory: 17350 grad_norm: 5.3471 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3425 loss: 2.3425 2022/07/22 16:56:44 - mmengine - INFO - Epoch(train) [23][1200/3757] lr: 1.0000e-02 eta: 2 days, 5:49:00 time: 0.5719 data_time: 0.0216 memory: 17350 grad_norm: 5.3006 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9706 loss: 1.9706 2022/07/22 16:56:59 - mmengine - INFO - Epoch(train) [23][1220/3757] lr: 1.0000e-02 eta: 2 days, 5:48:52 time: 0.7436 data_time: 0.0217 memory: 17350 grad_norm: 5.2553 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1526 loss: 2.1526 2022/07/22 16:57:12 - mmengine - INFO - Epoch(train) [23][1240/3757] lr: 1.0000e-02 eta: 2 days, 5:48:36 time: 0.6286 data_time: 0.0213 memory: 17350 grad_norm: 5.4175 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9111 loss: 1.9111 2022/07/22 16:57:26 - mmengine - INFO - Epoch(train) [23][1260/3757] lr: 1.0000e-02 eta: 2 days, 5:48:24 time: 0.6851 data_time: 0.0226 memory: 17350 grad_norm: 5.3622 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9032 loss: 1.9032 2022/07/22 16:57:38 - mmengine - INFO - Epoch(train) [23][1280/3757] lr: 1.0000e-02 eta: 2 days, 5:48:08 time: 0.6198 data_time: 0.0227 memory: 17350 grad_norm: 5.4050 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7692 loss: 1.7692 2022/07/22 16:57:53 - mmengine - INFO - Epoch(train) [23][1300/3757] lr: 1.0000e-02 eta: 2 days, 5:48:00 time: 0.7364 data_time: 0.0220 memory: 17350 grad_norm: 5.4684 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6891 loss: 1.6891 2022/07/22 16:58:05 - mmengine - INFO - Epoch(train) [23][1320/3757] lr: 1.0000e-02 eta: 2 days, 5:47:43 time: 0.6110 data_time: 0.0217 memory: 17350 grad_norm: 5.2943 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0857 loss: 2.0857 2022/07/22 16:58:19 - mmengine - INFO - Epoch(train) [23][1340/3757] lr: 1.0000e-02 eta: 2 days, 5:47:32 time: 0.6935 data_time: 0.0214 memory: 17350 grad_norm: 5.3911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9602 loss: 1.9602 2022/07/22 16:58:23 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 16:58:30 - mmengine - INFO - Epoch(train) [23][1360/3757] lr: 1.0000e-02 eta: 2 days, 5:47:11 time: 0.5623 data_time: 0.0240 memory: 17350 grad_norm: 5.3171 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6632 loss: 1.6632 2022/07/22 16:58:45 - mmengine - INFO - Epoch(train) [23][1380/3757] lr: 1.0000e-02 eta: 2 days, 5:47:02 time: 0.7266 data_time: 0.0214 memory: 17350 grad_norm: 5.3051 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9136 loss: 1.9136 2022/07/22 16:58:57 - mmengine - INFO - Epoch(train) [23][1400/3757] lr: 1.0000e-02 eta: 2 days, 5:46:46 time: 0.6201 data_time: 0.0226 memory: 17350 grad_norm: 5.5282 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9328 loss: 1.9328 2022/07/22 16:59:12 - mmengine - INFO - Epoch(train) [23][1420/3757] lr: 1.0000e-02 eta: 2 days, 5:46:39 time: 0.7484 data_time: 0.0223 memory: 17350 grad_norm: 5.5287 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0460 loss: 2.0460 2022/07/22 16:59:23 - mmengine - INFO - Epoch(train) [23][1440/3757] lr: 1.0000e-02 eta: 2 days, 5:46:19 time: 0.5678 data_time: 0.0228 memory: 17350 grad_norm: 5.5701 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0286 loss: 2.0286 2022/07/22 16:59:38 - mmengine - INFO - Epoch(train) [23][1460/3757] lr: 1.0000e-02 eta: 2 days, 5:46:11 time: 0.7492 data_time: 0.0231 memory: 17350 grad_norm: 5.2811 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7386 loss: 1.7386 2022/07/22 16:59:50 - mmengine - INFO - Epoch(train) [23][1480/3757] lr: 1.0000e-02 eta: 2 days, 5:45:52 time: 0.5693 data_time: 0.0235 memory: 17350 grad_norm: 5.2942 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0013 loss: 2.0013 2022/07/22 17:00:05 - mmengine - INFO - Epoch(train) [23][1500/3757] lr: 1.0000e-02 eta: 2 days, 5:45:46 time: 0.7744 data_time: 0.0396 memory: 17350 grad_norm: 5.6020 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8898 loss: 1.8898 2022/07/22 17:00:18 - mmengine - INFO - Epoch(train) [23][1520/3757] lr: 1.0000e-02 eta: 2 days, 5:45:29 time: 0.6166 data_time: 0.0473 memory: 17350 grad_norm: 5.3566 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8849 loss: 1.8849 2022/07/22 17:00:33 - mmengine - INFO - Epoch(train) [23][1540/3757] lr: 1.0000e-02 eta: 2 days, 5:45:24 time: 0.7772 data_time: 0.2589 memory: 17350 grad_norm: 5.5444 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0530 loss: 2.0530 2022/07/22 17:00:44 - mmengine - INFO - Epoch(train) [23][1560/3757] lr: 1.0000e-02 eta: 2 days, 5:45:04 time: 0.5640 data_time: 0.1287 memory: 17350 grad_norm: 5.3221 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9945 loss: 1.9945 2022/07/22 17:00:58 - mmengine - INFO - Epoch(train) [23][1580/3757] lr: 1.0000e-02 eta: 2 days, 5:44:52 time: 0.6842 data_time: 0.0795 memory: 17350 grad_norm: 5.5884 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8961 loss: 1.8961 2022/07/22 17:01:10 - mmengine - INFO - Epoch(train) [23][1600/3757] lr: 1.0000e-02 eta: 2 days, 5:44:35 time: 0.6071 data_time: 0.0763 memory: 17350 grad_norm: 5.5589 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9954 loss: 1.9954 2022/07/22 17:01:25 - mmengine - INFO - Epoch(train) [23][1620/3757] lr: 1.0000e-02 eta: 2 days, 5:44:26 time: 0.7228 data_time: 0.1314 memory: 17350 grad_norm: 5.4105 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9566 loss: 1.9566 2022/07/22 17:01:37 - mmengine - INFO - Epoch(train) [23][1640/3757] lr: 1.0000e-02 eta: 2 days, 5:44:09 time: 0.6125 data_time: 0.0213 memory: 17350 grad_norm: 5.5777 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8994 loss: 1.8994 2022/07/22 17:01:52 - mmengine - INFO - Epoch(train) [23][1660/3757] lr: 1.0000e-02 eta: 2 days, 5:44:03 time: 0.7698 data_time: 0.0236 memory: 17350 grad_norm: 5.3937 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7586 loss: 1.7586 2022/07/22 17:02:05 - mmengine - INFO - Epoch(train) [23][1680/3757] lr: 1.0000e-02 eta: 2 days, 5:43:46 time: 0.6162 data_time: 0.0193 memory: 17350 grad_norm: 5.4662 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9858 loss: 1.9858 2022/07/22 17:02:18 - mmengine - INFO - Epoch(train) [23][1700/3757] lr: 1.0000e-02 eta: 2 days, 5:43:32 time: 0.6525 data_time: 0.0225 memory: 17350 grad_norm: 5.3461 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9483 loss: 1.9483 2022/07/22 17:02:30 - mmengine - INFO - Epoch(train) [23][1720/3757] lr: 1.0000e-02 eta: 2 days, 5:43:15 time: 0.6032 data_time: 0.0241 memory: 17350 grad_norm: 5.3527 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0149 loss: 2.0149 2022/07/22 17:02:45 - mmengine - INFO - Epoch(train) [23][1740/3757] lr: 1.0000e-02 eta: 2 days, 5:43:07 time: 0.7514 data_time: 0.0236 memory: 17350 grad_norm: 5.3199 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 1.9762 loss: 1.9762 2022/07/22 17:02:57 - mmengine - INFO - Epoch(train) [23][1760/3757] lr: 1.0000e-02 eta: 2 days, 5:42:50 time: 0.6069 data_time: 0.0243 memory: 17350 grad_norm: 5.4041 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9465 loss: 1.9465 2022/07/22 17:03:11 - mmengine - INFO - Epoch(train) [23][1780/3757] lr: 1.0000e-02 eta: 2 days, 5:42:39 time: 0.6883 data_time: 0.0222 memory: 17350 grad_norm: 5.2206 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9458 loss: 1.9458 2022/07/22 17:03:23 - mmengine - INFO - Epoch(train) [23][1800/3757] lr: 1.0000e-02 eta: 2 days, 5:42:21 time: 0.6041 data_time: 0.0215 memory: 17350 grad_norm: 5.5116 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9934 loss: 1.9934 2022/07/22 17:03:37 - mmengine - INFO - Epoch(train) [23][1820/3757] lr: 1.0000e-02 eta: 2 days, 5:42:11 time: 0.7063 data_time: 0.0229 memory: 17350 grad_norm: 5.3543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0916 loss: 2.0916 2022/07/22 17:03:49 - mmengine - INFO - Epoch(train) [23][1840/3757] lr: 1.0000e-02 eta: 2 days, 5:41:53 time: 0.5911 data_time: 0.0227 memory: 17350 grad_norm: 5.4942 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8429 loss: 1.8429 2022/07/22 17:04:03 - mmengine - INFO - Epoch(train) [23][1860/3757] lr: 1.0000e-02 eta: 2 days, 5:41:43 time: 0.7118 data_time: 0.0232 memory: 17350 grad_norm: 5.2809 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8826 loss: 1.8826 2022/07/22 17:04:16 - mmengine - INFO - Epoch(train) [23][1880/3757] lr: 1.0000e-02 eta: 2 days, 5:41:26 time: 0.6225 data_time: 0.0855 memory: 17350 grad_norm: 5.4640 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0683 loss: 2.0683 2022/07/22 17:04:30 - mmengine - INFO - Epoch(train) [23][1900/3757] lr: 1.0000e-02 eta: 2 days, 5:41:16 time: 0.7013 data_time: 0.2170 memory: 17350 grad_norm: 5.3869 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8721 loss: 1.8721 2022/07/22 17:04:42 - mmengine - INFO - Epoch(train) [23][1920/3757] lr: 1.0000e-02 eta: 2 days, 5:41:00 time: 0.6214 data_time: 0.2210 memory: 17350 grad_norm: 5.4742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0691 loss: 2.0691 2022/07/22 17:04:56 - mmengine - INFO - Epoch(train) [23][1940/3757] lr: 1.0000e-02 eta: 2 days, 5:40:50 time: 0.7152 data_time: 0.3380 memory: 17350 grad_norm: 5.4767 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9687 loss: 1.9687 2022/07/22 17:05:09 - mmengine - INFO - Epoch(train) [23][1960/3757] lr: 1.0000e-02 eta: 2 days, 5:40:36 time: 0.6530 data_time: 0.3190 memory: 17350 grad_norm: 5.4842 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1992 loss: 2.1992 2022/07/22 17:05:24 - mmengine - INFO - Epoch(train) [23][1980/3757] lr: 1.0000e-02 eta: 2 days, 5:40:27 time: 0.7282 data_time: 0.3994 memory: 17350 grad_norm: 5.3235 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7986 loss: 1.7986 2022/07/22 17:05:37 - mmengine - INFO - Epoch(train) [23][2000/3757] lr: 1.0000e-02 eta: 2 days, 5:40:13 time: 0.6576 data_time: 0.3296 memory: 17350 grad_norm: 5.5149 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7722 loss: 1.7722 2022/07/22 17:05:50 - mmengine - INFO - Epoch(train) [23][2020/3757] lr: 1.0000e-02 eta: 2 days, 5:39:59 time: 0.6463 data_time: 0.3176 memory: 17350 grad_norm: 5.4709 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1763 loss: 2.1763 2022/07/22 17:06:05 - mmengine - INFO - Epoch(train) [23][2040/3757] lr: 1.0000e-02 eta: 2 days, 5:39:50 time: 0.7332 data_time: 0.4042 memory: 17350 grad_norm: 5.4851 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1401 loss: 2.1401 2022/07/22 17:06:16 - mmengine - INFO - Epoch(train) [23][2060/3757] lr: 1.0000e-02 eta: 2 days, 5:39:32 time: 0.5868 data_time: 0.2565 memory: 17350 grad_norm: 5.4494 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0697 loss: 2.0697 2022/07/22 17:06:31 - mmengine - INFO - Epoch(train) [23][2080/3757] lr: 1.0000e-02 eta: 2 days, 5:39:21 time: 0.7021 data_time: 0.3472 memory: 17350 grad_norm: 5.4227 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0289 loss: 2.0289 2022/07/22 17:06:43 - mmengine - INFO - Epoch(train) [23][2100/3757] lr: 1.0000e-02 eta: 2 days, 5:39:06 time: 0.6428 data_time: 0.1296 memory: 17350 grad_norm: 5.4433 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2085 loss: 2.2085 2022/07/22 17:06:57 - mmengine - INFO - Epoch(train) [23][2120/3757] lr: 1.0000e-02 eta: 2 days, 5:38:53 time: 0.6671 data_time: 0.1981 memory: 17350 grad_norm: 5.3514 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7676 loss: 1.7676 2022/07/22 17:07:11 - mmengine - INFO - Epoch(train) [23][2140/3757] lr: 1.0000e-02 eta: 2 days, 5:38:42 time: 0.6902 data_time: 0.1472 memory: 17350 grad_norm: 5.5659 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9973 loss: 1.9973 2022/07/22 17:07:23 - mmengine - INFO - Epoch(train) [23][2160/3757] lr: 1.0000e-02 eta: 2 days, 5:38:24 time: 0.6050 data_time: 0.0226 memory: 17350 grad_norm: 5.3436 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9559 loss: 1.9559 2022/07/22 17:07:38 - mmengine - INFO - Epoch(train) [23][2180/3757] lr: 1.0000e-02 eta: 2 days, 5:38:17 time: 0.7458 data_time: 0.0213 memory: 17350 grad_norm: 5.5995 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8819 loss: 1.8819 2022/07/22 17:07:51 - mmengine - INFO - Epoch(train) [23][2200/3757] lr: 1.0000e-02 eta: 2 days, 5:38:03 time: 0.6513 data_time: 0.0207 memory: 17350 grad_norm: 5.3444 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9505 loss: 1.9505 2022/07/22 17:08:05 - mmengine - INFO - Epoch(train) [23][2220/3757] lr: 1.0000e-02 eta: 2 days, 5:37:52 time: 0.7054 data_time: 0.0233 memory: 17350 grad_norm: 5.4589 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0863 loss: 2.0863 2022/07/22 17:08:17 - mmengine - INFO - Epoch(train) [23][2240/3757] lr: 1.0000e-02 eta: 2 days, 5:37:36 time: 0.6266 data_time: 0.0231 memory: 17350 grad_norm: 5.4393 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0866 loss: 2.0866 2022/07/22 17:08:33 - mmengine - INFO - Epoch(train) [23][2260/3757] lr: 1.0000e-02 eta: 2 days, 5:37:30 time: 0.7626 data_time: 0.0209 memory: 17350 grad_norm: 5.3509 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9153 loss: 1.9153 2022/07/22 17:08:44 - mmengine - INFO - Epoch(train) [23][2280/3757] lr: 1.0000e-02 eta: 2 days, 5:37:09 time: 0.5577 data_time: 0.0261 memory: 17350 grad_norm: 5.4719 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1323 loss: 2.1323 2022/07/22 17:08:57 - mmengine - INFO - Epoch(train) [23][2300/3757] lr: 1.0000e-02 eta: 2 days, 5:36:58 time: 0.6885 data_time: 0.0220 memory: 17350 grad_norm: 5.4333 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9539 loss: 1.9539 2022/07/22 17:09:10 - mmengine - INFO - Epoch(train) [23][2320/3757] lr: 1.0000e-02 eta: 2 days, 5:36:41 time: 0.6085 data_time: 0.0240 memory: 17350 grad_norm: 5.4630 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0347 loss: 2.0347 2022/07/22 17:09:23 - mmengine - INFO - Epoch(train) [23][2340/3757] lr: 1.0000e-02 eta: 2 days, 5:36:29 time: 0.6805 data_time: 0.0496 memory: 17350 grad_norm: 5.5861 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7859 loss: 1.7859 2022/07/22 17:09:26 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 17:09:35 - mmengine - INFO - Epoch(train) [23][2360/3757] lr: 1.0000e-02 eta: 2 days, 5:36:10 time: 0.5916 data_time: 0.0248 memory: 17350 grad_norm: 5.7255 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1431 loss: 2.1431 2022/07/22 17:09:50 - mmengine - INFO - Epoch(train) [23][2380/3757] lr: 1.0000e-02 eta: 2 days, 5:36:01 time: 0.7211 data_time: 0.0376 memory: 17350 grad_norm: 5.3668 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8986 loss: 1.8986 2022/07/22 17:10:02 - mmengine - INFO - Epoch(train) [23][2400/3757] lr: 1.0000e-02 eta: 2 days, 5:35:45 time: 0.6177 data_time: 0.0218 memory: 17350 grad_norm: 5.4377 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8785 loss: 1.8785 2022/07/22 17:10:16 - mmengine - INFO - Epoch(train) [23][2420/3757] lr: 1.0000e-02 eta: 2 days, 5:35:33 time: 0.6848 data_time: 0.0738 memory: 17350 grad_norm: 5.4155 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8547 loss: 1.8547 2022/07/22 17:10:29 - mmengine - INFO - Epoch(train) [23][2440/3757] lr: 1.0000e-02 eta: 2 days, 5:35:19 time: 0.6614 data_time: 0.0603 memory: 17350 grad_norm: 5.5437 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7700 loss: 1.7700 2022/07/22 17:10:43 - mmengine - INFO - Epoch(train) [23][2460/3757] lr: 1.0000e-02 eta: 2 days, 5:35:09 time: 0.7093 data_time: 0.1239 memory: 17350 grad_norm: 5.5134 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1091 loss: 2.1091 2022/07/22 17:10:56 - mmengine - INFO - Epoch(train) [23][2480/3757] lr: 1.0000e-02 eta: 2 days, 5:34:55 time: 0.6464 data_time: 0.0669 memory: 17350 grad_norm: 5.3705 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9083 loss: 1.9083 2022/07/22 17:11:09 - mmengine - INFO - Epoch(train) [23][2500/3757] lr: 1.0000e-02 eta: 2 days, 5:34:41 time: 0.6634 data_time: 0.2397 memory: 17350 grad_norm: 5.3087 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9277 loss: 1.9277 2022/07/22 17:11:23 - mmengine - INFO - Epoch(train) [23][2520/3757] lr: 1.0000e-02 eta: 2 days, 5:34:28 time: 0.6675 data_time: 0.2752 memory: 17350 grad_norm: 5.5450 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9821 loss: 1.9821 2022/07/22 17:11:36 - mmengine - INFO - Epoch(train) [23][2540/3757] lr: 1.0000e-02 eta: 2 days, 5:34:15 time: 0.6626 data_time: 0.2207 memory: 17350 grad_norm: 5.5285 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1246 loss: 2.1246 2022/07/22 17:11:49 - mmengine - INFO - Epoch(train) [23][2560/3757] lr: 1.0000e-02 eta: 2 days, 5:34:03 time: 0.6813 data_time: 0.2993 memory: 17350 grad_norm: 5.3477 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0386 loss: 2.0386 2022/07/22 17:12:02 - mmengine - INFO - Epoch(train) [23][2580/3757] lr: 1.0000e-02 eta: 2 days, 5:33:47 time: 0.6226 data_time: 0.2141 memory: 17350 grad_norm: 5.5030 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1454 loss: 2.1454 2022/07/22 17:12:16 - mmengine - INFO - Epoch(train) [23][2600/3757] lr: 1.0000e-02 eta: 2 days, 5:33:37 time: 0.7113 data_time: 0.3349 memory: 17350 grad_norm: 5.4810 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1566 loss: 2.1566 2022/07/22 17:12:29 - mmengine - INFO - Epoch(train) [23][2620/3757] lr: 1.0000e-02 eta: 2 days, 5:33:22 time: 0.6390 data_time: 0.2751 memory: 17350 grad_norm: 5.5423 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9859 loss: 1.9859 2022/07/22 17:12:43 - mmengine - INFO - Epoch(train) [23][2640/3757] lr: 1.0000e-02 eta: 2 days, 5:33:12 time: 0.7203 data_time: 0.3779 memory: 17350 grad_norm: 5.3460 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8875 loss: 1.8875 2022/07/22 17:12:56 - mmengine - INFO - Epoch(train) [23][2660/3757] lr: 1.0000e-02 eta: 2 days, 5:32:58 time: 0.6485 data_time: 0.2656 memory: 17350 grad_norm: 5.1546 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0428 loss: 2.0428 2022/07/22 17:13:09 - mmengine - INFO - Epoch(train) [23][2680/3757] lr: 1.0000e-02 eta: 2 days, 5:32:42 time: 0.6212 data_time: 0.2539 memory: 17350 grad_norm: 5.4080 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8424 loss: 1.8424 2022/07/22 17:13:23 - mmengine - INFO - Epoch(train) [23][2700/3757] lr: 1.0000e-02 eta: 2 days, 5:32:32 time: 0.7098 data_time: 0.2039 memory: 17350 grad_norm: 5.5304 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9627 loss: 1.9627 2022/07/22 17:13:37 - mmengine - INFO - Epoch(train) [23][2720/3757] lr: 1.0000e-02 eta: 2 days, 5:32:21 time: 0.6982 data_time: 0.3139 memory: 17350 grad_norm: 5.4867 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9540 loss: 1.9540 2022/07/22 17:13:49 - mmengine - INFO - Epoch(train) [23][2740/3757] lr: 1.0000e-02 eta: 2 days, 5:32:03 time: 0.6008 data_time: 0.2324 memory: 17350 grad_norm: 5.4404 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0821 loss: 2.0821 2022/07/22 17:14:04 - mmengine - INFO - Epoch(train) [23][2760/3757] lr: 1.0000e-02 eta: 2 days, 5:31:55 time: 0.7351 data_time: 0.3939 memory: 17350 grad_norm: 5.3420 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5821 loss: 1.5821 2022/07/22 17:14:16 - mmengine - INFO - Epoch(train) [23][2780/3757] lr: 1.0000e-02 eta: 2 days, 5:31:37 time: 0.6042 data_time: 0.2606 memory: 17350 grad_norm: 5.3428 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1117 loss: 2.1117 2022/07/22 17:14:30 - mmengine - INFO - Epoch(train) [23][2800/3757] lr: 1.0000e-02 eta: 2 days, 5:31:26 time: 0.6936 data_time: 0.3618 memory: 17350 grad_norm: 5.5926 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8530 loss: 1.8530 2022/07/22 17:14:42 - mmengine - INFO - Epoch(train) [23][2820/3757] lr: 1.0000e-02 eta: 2 days, 5:31:09 time: 0.6123 data_time: 0.2746 memory: 17350 grad_norm: 5.3049 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9368 loss: 1.9368 2022/07/22 17:14:56 - mmengine - INFO - Epoch(train) [23][2840/3757] lr: 1.0000e-02 eta: 2 days, 5:31:00 time: 0.7212 data_time: 0.3858 memory: 17350 grad_norm: 5.4898 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8095 loss: 1.8095 2022/07/22 17:15:09 - mmengine - INFO - Epoch(train) [23][2860/3757] lr: 1.0000e-02 eta: 2 days, 5:30:44 time: 0.6284 data_time: 0.1861 memory: 17350 grad_norm: 5.2870 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8260 loss: 1.8260 2022/07/22 17:15:23 - mmengine - INFO - Epoch(train) [23][2880/3757] lr: 1.0000e-02 eta: 2 days, 5:30:32 time: 0.6829 data_time: 0.1468 memory: 17350 grad_norm: 5.3858 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0606 loss: 2.0606 2022/07/22 17:15:36 - mmengine - INFO - Epoch(train) [23][2900/3757] lr: 1.0000e-02 eta: 2 days, 5:30:19 time: 0.6693 data_time: 0.2150 memory: 17350 grad_norm: 5.3924 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8670 loss: 1.8670 2022/07/22 17:15:49 - mmengine - INFO - Epoch(train) [23][2920/3757] lr: 1.0000e-02 eta: 2 days, 5:30:04 time: 0.6331 data_time: 0.1456 memory: 17350 grad_norm: 5.4663 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8581 loss: 1.8581 2022/07/22 17:16:03 - mmengine - INFO - Epoch(train) [23][2940/3757] lr: 1.0000e-02 eta: 2 days, 5:29:54 time: 0.7120 data_time: 0.0646 memory: 17350 grad_norm: 5.4212 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9466 loss: 1.9466 2022/07/22 17:16:16 - mmengine - INFO - Epoch(train) [23][2960/3757] lr: 1.0000e-02 eta: 2 days, 5:29:39 time: 0.6447 data_time: 0.1092 memory: 17350 grad_norm: 5.3699 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0307 loss: 2.0307 2022/07/22 17:16:29 - mmengine - INFO - Epoch(train) [23][2980/3757] lr: 1.0000e-02 eta: 2 days, 5:29:26 time: 0.6562 data_time: 0.1585 memory: 17350 grad_norm: 5.5275 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9623 loss: 1.9623 2022/07/22 17:16:42 - mmengine - INFO - Epoch(train) [23][3000/3757] lr: 1.0000e-02 eta: 2 days, 5:29:13 time: 0.6732 data_time: 0.2544 memory: 17350 grad_norm: 5.6380 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9241 loss: 1.9241 2022/07/22 17:16:55 - mmengine - INFO - Epoch(train) [23][3020/3757] lr: 1.0000e-02 eta: 2 days, 5:28:59 time: 0.6499 data_time: 0.1576 memory: 17350 grad_norm: 5.3337 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0573 loss: 2.0573 2022/07/22 17:17:09 - mmengine - INFO - Epoch(train) [23][3040/3757] lr: 1.0000e-02 eta: 2 days, 5:28:46 time: 0.6702 data_time: 0.2248 memory: 17350 grad_norm: 5.1644 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6968 loss: 1.6968 2022/07/22 17:17:22 - mmengine - INFO - Epoch(train) [23][3060/3757] lr: 1.0000e-02 eta: 2 days, 5:28:32 time: 0.6537 data_time: 0.1591 memory: 17350 grad_norm: 5.4534 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1284 loss: 2.1284 2022/07/22 17:17:36 - mmengine - INFO - Epoch(train) [23][3080/3757] lr: 1.0000e-02 eta: 2 days, 5:28:23 time: 0.7283 data_time: 0.3538 memory: 17350 grad_norm: 5.4051 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0439 loss: 2.0439 2022/07/22 17:17:48 - mmengine - INFO - Epoch(train) [23][3100/3757] lr: 1.0000e-02 eta: 2 days, 5:28:05 time: 0.5876 data_time: 0.2090 memory: 17350 grad_norm: 5.3973 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9056 loss: 1.9056 2022/07/22 17:18:03 - mmengine - INFO - Epoch(train) [23][3120/3757] lr: 1.0000e-02 eta: 2 days, 5:27:56 time: 0.7350 data_time: 0.3983 memory: 17350 grad_norm: 5.6038 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0739 loss: 2.0739 2022/07/22 17:18:15 - mmengine - INFO - Epoch(train) [23][3140/3757] lr: 1.0000e-02 eta: 2 days, 5:27:37 time: 0.5827 data_time: 0.2504 memory: 17350 grad_norm: 5.5006 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7837 loss: 1.7837 2022/07/22 17:18:30 - mmengine - INFO - Epoch(train) [23][3160/3757] lr: 1.0000e-02 eta: 2 days, 5:27:30 time: 0.7599 data_time: 0.4290 memory: 17350 grad_norm: 5.3887 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8662 loss: 1.8662 2022/07/22 17:18:41 - mmengine - INFO - Epoch(train) [23][3180/3757] lr: 1.0000e-02 eta: 2 days, 5:27:11 time: 0.5742 data_time: 0.2402 memory: 17350 grad_norm: 5.6688 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9841 loss: 1.9841 2022/07/22 17:18:55 - mmengine - INFO - Epoch(train) [23][3200/3757] lr: 1.0000e-02 eta: 2 days, 5:26:59 time: 0.6780 data_time: 0.3436 memory: 17350 grad_norm: 5.3684 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9628 loss: 1.9628 2022/07/22 17:19:07 - mmengine - INFO - Epoch(train) [23][3220/3757] lr: 1.0000e-02 eta: 2 days, 5:26:41 time: 0.5960 data_time: 0.2649 memory: 17350 grad_norm: 5.5166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8786 loss: 1.8786 2022/07/22 17:19:21 - mmengine - INFO - Epoch(train) [23][3240/3757] lr: 1.0000e-02 eta: 2 days, 5:26:30 time: 0.6930 data_time: 0.3326 memory: 17350 grad_norm: 5.5732 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9482 loss: 1.9482 2022/07/22 17:19:34 - mmengine - INFO - Epoch(train) [23][3260/3757] lr: 1.0000e-02 eta: 2 days, 5:26:16 time: 0.6637 data_time: 0.2580 memory: 17350 grad_norm: 5.3919 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1214 loss: 2.1214 2022/07/22 17:19:47 - mmengine - INFO - Epoch(train) [23][3280/3757] lr: 1.0000e-02 eta: 2 days, 5:26:04 time: 0.6729 data_time: 0.1226 memory: 17350 grad_norm: 5.3331 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6410 loss: 1.6410 2022/07/22 17:20:01 - mmengine - INFO - Epoch(train) [23][3300/3757] lr: 1.0000e-02 eta: 2 days, 5:25:51 time: 0.6675 data_time: 0.1646 memory: 17350 grad_norm: 5.4261 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0249 loss: 2.0249 2022/07/22 17:20:14 - mmengine - INFO - Epoch(train) [23][3320/3757] lr: 1.0000e-02 eta: 2 days, 5:25:39 time: 0.6881 data_time: 0.0917 memory: 17350 grad_norm: 5.2784 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8330 loss: 1.8330 2022/07/22 17:20:27 - mmengine - INFO - Epoch(train) [23][3340/3757] lr: 1.0000e-02 eta: 2 days, 5:25:25 time: 0.6505 data_time: 0.1178 memory: 17350 grad_norm: 5.2557 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9370 loss: 1.9370 2022/07/22 17:20:32 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 17:20:40 - mmengine - INFO - Epoch(train) [23][3360/3757] lr: 1.0000e-02 eta: 2 days, 5:25:11 time: 0.6504 data_time: 0.0810 memory: 17350 grad_norm: 5.5255 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7940 loss: 1.7940 2022/07/22 17:20:54 - mmengine - INFO - Epoch(train) [23][3380/3757] lr: 1.0000e-02 eta: 2 days, 5:24:57 time: 0.6537 data_time: 0.0209 memory: 17350 grad_norm: 5.3935 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7315 loss: 1.7315 2022/07/22 17:21:07 - mmengine - INFO - Epoch(train) [23][3400/3757] lr: 1.0000e-02 eta: 2 days, 5:24:46 time: 0.6958 data_time: 0.0360 memory: 17350 grad_norm: 5.3450 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0008 loss: 2.0008 2022/07/22 17:21:20 - mmengine - INFO - Epoch(train) [23][3420/3757] lr: 1.0000e-02 eta: 2 days, 5:24:30 time: 0.6303 data_time: 0.0220 memory: 17350 grad_norm: 5.5132 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0540 loss: 2.0540 2022/07/22 17:21:34 - mmengine - INFO - Epoch(train) [23][3440/3757] lr: 1.0000e-02 eta: 2 days, 5:24:18 time: 0.6867 data_time: 0.0214 memory: 17350 grad_norm: 5.5606 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8954 loss: 1.8954 2022/07/22 17:21:47 - mmengine - INFO - Epoch(train) [23][3460/3757] lr: 1.0000e-02 eta: 2 days, 5:24:03 time: 0.6403 data_time: 0.0251 memory: 17350 grad_norm: 5.1565 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2062 loss: 2.2062 2022/07/22 17:22:01 - mmengine - INFO - Epoch(train) [23][3480/3757] lr: 1.0000e-02 eta: 2 days, 5:23:53 time: 0.7049 data_time: 0.0551 memory: 17350 grad_norm: 5.4292 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6940 loss: 1.6940 2022/07/22 17:22:13 - mmengine - INFO - Epoch(train) [23][3500/3757] lr: 1.0000e-02 eta: 2 days, 5:23:36 time: 0.6108 data_time: 0.0300 memory: 17350 grad_norm: 5.2801 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0200 loss: 2.0200 2022/07/22 17:22:28 - mmengine - INFO - Epoch(train) [23][3520/3757] lr: 1.0000e-02 eta: 2 days, 5:23:28 time: 0.7476 data_time: 0.0466 memory: 17350 grad_norm: 5.4068 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8730 loss: 1.8730 2022/07/22 17:22:41 - mmengine - INFO - Epoch(train) [23][3540/3757] lr: 1.0000e-02 eta: 2 days, 5:23:13 time: 0.6360 data_time: 0.0235 memory: 17350 grad_norm: 5.2256 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9013 loss: 1.9013 2022/07/22 17:22:55 - mmengine - INFO - Epoch(train) [23][3560/3757] lr: 1.0000e-02 eta: 2 days, 5:23:04 time: 0.7197 data_time: 0.0228 memory: 17350 grad_norm: 5.1774 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2981 loss: 2.2981 2022/07/22 17:23:07 - mmengine - INFO - Epoch(train) [23][3580/3757] lr: 1.0000e-02 eta: 2 days, 5:22:46 time: 0.5966 data_time: 0.0224 memory: 17350 grad_norm: 5.5139 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8957 loss: 1.8957 2022/07/22 17:23:22 - mmengine - INFO - Epoch(train) [23][3600/3757] lr: 1.0000e-02 eta: 2 days, 5:22:37 time: 0.7319 data_time: 0.0223 memory: 17350 grad_norm: 5.2599 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0432 loss: 2.0432 2022/07/22 17:23:34 - mmengine - INFO - Epoch(train) [23][3620/3757] lr: 1.0000e-02 eta: 2 days, 5:22:19 time: 0.5969 data_time: 0.0233 memory: 17350 grad_norm: 5.4076 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0398 loss: 2.0398 2022/07/22 17:23:50 - mmengine - INFO - Epoch(train) [23][3640/3757] lr: 1.0000e-02 eta: 2 days, 5:22:15 time: 0.8026 data_time: 0.0230 memory: 17350 grad_norm: 5.3683 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9018 loss: 1.9018 2022/07/22 17:24:02 - mmengine - INFO - Epoch(train) [23][3660/3757] lr: 1.0000e-02 eta: 2 days, 5:21:59 time: 0.6155 data_time: 0.0235 memory: 17350 grad_norm: 5.3634 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9207 loss: 1.9207 2022/07/22 17:24:16 - mmengine - INFO - Epoch(train) [23][3680/3757] lr: 1.0000e-02 eta: 2 days, 5:21:47 time: 0.6789 data_time: 0.0242 memory: 17350 grad_norm: 5.5074 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8005 loss: 1.8005 2022/07/22 17:24:28 - mmengine - INFO - Epoch(train) [23][3700/3757] lr: 1.0000e-02 eta: 2 days, 5:21:32 time: 0.6447 data_time: 0.0217 memory: 17350 grad_norm: 5.3136 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6828 loss: 1.6828 2022/07/22 17:24:42 - mmengine - INFO - Epoch(train) [23][3720/3757] lr: 1.0000e-02 eta: 2 days, 5:21:20 time: 0.6867 data_time: 0.0212 memory: 17350 grad_norm: 5.4786 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8686 loss: 1.8686 2022/07/22 17:24:54 - mmengine - INFO - Epoch(train) [23][3740/3757] lr: 1.0000e-02 eta: 2 days, 5:21:03 time: 0.6095 data_time: 0.0234 memory: 17350 grad_norm: 5.1892 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7481 loss: 1.7481 2022/07/22 17:25:02 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 17:25:02 - mmengine - INFO - Epoch(train) [23][3757/3757] lr: 1.0000e-02 eta: 2 days, 5:21:03 time: 0.4357 data_time: 0.0212 memory: 17350 grad_norm: 5.5906 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.0081 loss: 2.0081 2022/07/22 17:25:20 - mmengine - INFO - Epoch(val) [23][20/310] eta: 0:04:16 time: 0.8836 data_time: 0.7695 memory: 3406 2022/07/22 17:25:31 - mmengine - INFO - Epoch(val) [23][40/310] eta: 0:02:26 time: 0.5411 data_time: 0.4291 memory: 3406 2022/07/22 17:25:46 - mmengine - INFO - Epoch(val) [23][60/310] eta: 0:03:07 time: 0.7519 data_time: 0.6393 memory: 3406 2022/07/22 17:25:57 - mmengine - INFO - Epoch(val) [23][80/310] eta: 0:02:08 time: 0.5591 data_time: 0.4467 memory: 3406 2022/07/22 17:26:12 - mmengine - INFO - Epoch(val) [23][100/310] eta: 0:02:44 time: 0.7845 data_time: 0.6712 memory: 3406 2022/07/22 17:26:24 - mmengine - INFO - Epoch(val) [23][120/310] eta: 0:01:46 time: 0.5590 data_time: 0.4465 memory: 3406 2022/07/22 17:26:38 - mmengine - INFO - Epoch(val) [23][140/310] eta: 0:02:02 time: 0.7234 data_time: 0.6101 memory: 3406 2022/07/22 17:26:51 - mmengine - INFO - Epoch(val) [23][160/310] eta: 0:01:33 time: 0.6239 data_time: 0.5113 memory: 3406 2022/07/22 17:27:04 - mmengine - INFO - Epoch(val) [23][180/310] eta: 0:01:28 time: 0.6795 data_time: 0.5688 memory: 3406 2022/07/22 17:27:17 - mmengine - INFO - Epoch(val) [23][200/310] eta: 0:01:09 time: 0.6317 data_time: 0.5211 memory: 3406 2022/07/22 17:27:30 - mmengine - INFO - Epoch(val) [23][220/310] eta: 0:00:59 time: 0.6561 data_time: 0.5431 memory: 3406 2022/07/22 17:27:44 - mmengine - INFO - Epoch(val) [23][240/310] eta: 0:00:49 time: 0.7093 data_time: 0.5980 memory: 3406 2022/07/22 17:27:56 - mmengine - INFO - Epoch(val) [23][260/310] eta: 0:00:30 time: 0.6133 data_time: 0.5021 memory: 3406 2022/07/22 17:28:10 - mmengine - INFO - Epoch(val) [23][280/310] eta: 0:00:21 time: 0.7004 data_time: 0.5866 memory: 3406 2022/07/22 17:28:23 - mmengine - INFO - Epoch(val) [23][300/310] eta: 0:00:06 time: 0.6050 data_time: 0.4928 memory: 3406 2022/07/22 17:28:28 - mmengine - INFO - Epoch(val) [23][310/310] acc/top1: 0.5670 acc/top5: 0.8031 acc/mean1: 0.5669 2022/07/22 17:28:45 - mmengine - INFO - Epoch(train) [24][20/3757] lr: 1.0000e-02 eta: 2 days, 5:20:14 time: 0.8585 data_time: 0.4683 memory: 17350 grad_norm: 5.5676 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9394 loss: 1.9394 2022/07/22 17:28:58 - mmengine - INFO - Epoch(train) [24][40/3757] lr: 1.0000e-02 eta: 2 days, 5:19:58 time: 0.6273 data_time: 0.2592 memory: 17350 grad_norm: 5.4567 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9878 loss: 1.9878 2022/07/22 17:29:13 - mmengine - INFO - Epoch(train) [24][60/3757] lr: 1.0000e-02 eta: 2 days, 5:19:49 time: 0.7283 data_time: 0.4020 memory: 17350 grad_norm: 5.1300 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9701 loss: 1.9701 2022/07/22 17:29:25 - mmengine - INFO - Epoch(train) [24][80/3757] lr: 1.0000e-02 eta: 2 days, 5:19:33 time: 0.6101 data_time: 0.2850 memory: 17350 grad_norm: 5.2716 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8312 loss: 1.8312 2022/07/22 17:29:40 - mmengine - INFO - Epoch(train) [24][100/3757] lr: 1.0000e-02 eta: 2 days, 5:19:26 time: 0.7651 data_time: 0.4382 memory: 17350 grad_norm: 5.3555 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8187 loss: 1.8187 2022/07/22 17:29:53 - mmengine - INFO - Epoch(train) [24][120/3757] lr: 1.0000e-02 eta: 2 days, 5:19:11 time: 0.6297 data_time: 0.3021 memory: 17350 grad_norm: 5.4292 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8052 loss: 1.8052 2022/07/22 17:30:07 - mmengine - INFO - Epoch(train) [24][140/3757] lr: 1.0000e-02 eta: 2 days, 5:19:02 time: 0.7355 data_time: 0.4068 memory: 17350 grad_norm: 5.3701 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9870 loss: 1.9870 2022/07/22 17:30:19 - mmengine - INFO - Epoch(train) [24][160/3757] lr: 1.0000e-02 eta: 2 days, 5:18:44 time: 0.5980 data_time: 0.2465 memory: 17350 grad_norm: 5.3306 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8270 loss: 1.8270 2022/07/22 17:30:34 - mmengine - INFO - Epoch(train) [24][180/3757] lr: 1.0000e-02 eta: 2 days, 5:18:35 time: 0.7179 data_time: 0.3882 memory: 17350 grad_norm: 5.3194 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7627 loss: 1.7627 2022/07/22 17:30:46 - mmengine - INFO - Epoch(train) [24][200/3757] lr: 1.0000e-02 eta: 2 days, 5:18:18 time: 0.6128 data_time: 0.2414 memory: 17350 grad_norm: 5.4515 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8149 loss: 1.8149 2022/07/22 17:31:00 - mmengine - INFO - Epoch(train) [24][220/3757] lr: 1.0000e-02 eta: 2 days, 5:18:08 time: 0.7053 data_time: 0.2438 memory: 17350 grad_norm: 5.5732 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0118 loss: 2.0118 2022/07/22 17:31:13 - mmengine - INFO - Epoch(train) [24][240/3757] lr: 1.0000e-02 eta: 2 days, 5:17:54 time: 0.6554 data_time: 0.1286 memory: 17350 grad_norm: 5.2577 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4131 loss: 1.4131 2022/07/22 17:31:27 - mmengine - INFO - Epoch(train) [24][260/3757] lr: 1.0000e-02 eta: 2 days, 5:17:41 time: 0.6789 data_time: 0.0639 memory: 17350 grad_norm: 5.3790 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6708 loss: 1.6708 2022/07/22 17:31:39 - mmengine - INFO - Epoch(train) [24][280/3757] lr: 1.0000e-02 eta: 2 days, 5:17:25 time: 0.6167 data_time: 0.1295 memory: 17350 grad_norm: 5.3392 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9205 loss: 1.9205 2022/07/22 17:31:54 - mmengine - INFO - Epoch(train) [24][300/3757] lr: 1.0000e-02 eta: 2 days, 5:17:16 time: 0.7346 data_time: 0.1692 memory: 17350 grad_norm: 5.6086 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1507 loss: 2.1507 2022/07/22 17:32:06 - mmengine - INFO - Epoch(train) [24][320/3757] lr: 1.0000e-02 eta: 2 days, 5:16:58 time: 0.5915 data_time: 0.1779 memory: 17350 grad_norm: 5.4586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9456 loss: 1.9456 2022/07/22 17:32:20 - mmengine - INFO - Epoch(train) [24][340/3757] lr: 1.0000e-02 eta: 2 days, 5:16:50 time: 0.7430 data_time: 0.3058 memory: 17350 grad_norm: 5.6772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9626 loss: 1.9626 2022/07/22 17:32:33 - mmengine - INFO - Epoch(train) [24][360/3757] lr: 1.0000e-02 eta: 2 days, 5:16:35 time: 0.6299 data_time: 0.2141 memory: 17350 grad_norm: 5.4767 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7877 loss: 1.7877 2022/07/22 17:32:47 - mmengine - INFO - Epoch(train) [24][380/3757] lr: 1.0000e-02 eta: 2 days, 5:16:23 time: 0.6835 data_time: 0.1066 memory: 17350 grad_norm: 5.4329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9175 loss: 1.9175 2022/07/22 17:32:59 - mmengine - INFO - Epoch(train) [24][400/3757] lr: 1.0000e-02 eta: 2 days, 5:16:06 time: 0.6056 data_time: 0.1854 memory: 17350 grad_norm: 5.2956 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6529 loss: 1.6529 2022/07/22 17:33:14 - mmengine - INFO - Epoch(train) [24][420/3757] lr: 1.0000e-02 eta: 2 days, 5:15:57 time: 0.7388 data_time: 0.2979 memory: 17350 grad_norm: 5.3342 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4799 loss: 1.4799 2022/07/22 17:33:27 - mmengine - INFO - Epoch(train) [24][440/3757] lr: 1.0000e-02 eta: 2 days, 5:15:43 time: 0.6516 data_time: 0.2122 memory: 17350 grad_norm: 5.3953 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9669 loss: 1.9669 2022/07/22 17:33:40 - mmengine - INFO - Epoch(train) [24][460/3757] lr: 1.0000e-02 eta: 2 days, 5:15:29 time: 0.6546 data_time: 0.0231 memory: 17350 grad_norm: 5.4076 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8023 loss: 1.8023 2022/07/22 17:33:53 - mmengine - INFO - Epoch(train) [24][480/3757] lr: 1.0000e-02 eta: 2 days, 5:15:15 time: 0.6533 data_time: 0.0542 memory: 17350 grad_norm: 5.5389 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7333 loss: 1.7333 2022/07/22 17:34:07 - mmengine - INFO - Epoch(train) [24][500/3757] lr: 1.0000e-02 eta: 2 days, 5:15:03 time: 0.6825 data_time: 0.1066 memory: 17350 grad_norm: 5.4793 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7738 loss: 1.7738 2022/07/22 17:34:19 - mmengine - INFO - Epoch(train) [24][520/3757] lr: 1.0000e-02 eta: 2 days, 5:14:47 time: 0.6101 data_time: 0.0432 memory: 17350 grad_norm: 5.5634 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7385 loss: 1.7385 2022/07/22 17:34:33 - mmengine - INFO - Epoch(train) [24][540/3757] lr: 1.0000e-02 eta: 2 days, 5:14:38 time: 0.7279 data_time: 0.0312 memory: 17350 grad_norm: 5.4472 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9981 loss: 1.9981 2022/07/22 17:34:45 - mmengine - INFO - Epoch(train) [24][560/3757] lr: 1.0000e-02 eta: 2 days, 5:14:20 time: 0.6017 data_time: 0.0298 memory: 17350 grad_norm: 5.3891 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0440 loss: 2.0440 2022/07/22 17:35:01 - mmengine - INFO - Epoch(train) [24][580/3757] lr: 1.0000e-02 eta: 2 days, 5:14:13 time: 0.7617 data_time: 0.0633 memory: 17350 grad_norm: 5.3667 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1864 loss: 2.1864 2022/07/22 17:35:06 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 17:35:13 - mmengine - INFO - Epoch(train) [24][600/3757] lr: 1.0000e-02 eta: 2 days, 5:13:56 time: 0.6057 data_time: 0.0562 memory: 17350 grad_norm: 5.4101 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0476 loss: 2.0476 2022/07/22 17:35:27 - mmengine - INFO - Epoch(train) [24][620/3757] lr: 1.0000e-02 eta: 2 days, 5:13:47 time: 0.7253 data_time: 0.0595 memory: 17350 grad_norm: 5.3999 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8573 loss: 1.8573 2022/07/22 17:35:40 - mmengine - INFO - Epoch(train) [24][640/3757] lr: 1.0000e-02 eta: 2 days, 5:13:31 time: 0.6148 data_time: 0.0246 memory: 17350 grad_norm: 5.3965 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1367 loss: 2.1367 2022/07/22 17:35:54 - mmengine - INFO - Epoch(train) [24][660/3757] lr: 1.0000e-02 eta: 2 days, 5:13:21 time: 0.7162 data_time: 0.0463 memory: 17350 grad_norm: 5.2905 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7808 loss: 1.7808 2022/07/22 17:36:06 - mmengine - INFO - Epoch(train) [24][680/3757] lr: 1.0000e-02 eta: 2 days, 5:13:04 time: 0.6070 data_time: 0.0590 memory: 17350 grad_norm: 5.3341 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6790 loss: 1.6790 2022/07/22 17:36:20 - mmengine - INFO - Epoch(train) [24][700/3757] lr: 1.0000e-02 eta: 2 days, 5:12:53 time: 0.7100 data_time: 0.0764 memory: 17350 grad_norm: 5.4764 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9697 loss: 1.9697 2022/07/22 17:36:32 - mmengine - INFO - Epoch(train) [24][720/3757] lr: 1.0000e-02 eta: 2 days, 5:12:34 time: 0.5741 data_time: 0.0688 memory: 17350 grad_norm: 5.4919 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9591 loss: 1.9591 2022/07/22 17:36:46 - mmengine - INFO - Epoch(train) [24][740/3757] lr: 1.0000e-02 eta: 2 days, 5:12:26 time: 0.7371 data_time: 0.0377 memory: 17350 grad_norm: 5.4183 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1308 loss: 2.1308 2022/07/22 17:36:58 - mmengine - INFO - Epoch(train) [24][760/3757] lr: 1.0000e-02 eta: 2 days, 5:12:08 time: 0.5891 data_time: 0.0839 memory: 17350 grad_norm: 5.4820 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8967 loss: 1.8967 2022/07/22 17:37:13 - mmengine - INFO - Epoch(train) [24][780/3757] lr: 1.0000e-02 eta: 2 days, 5:11:59 time: 0.7280 data_time: 0.1566 memory: 17350 grad_norm: 5.5887 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9798 loss: 1.9798 2022/07/22 17:37:25 - mmengine - INFO - Epoch(train) [24][800/3757] lr: 1.0000e-02 eta: 2 days, 5:11:42 time: 0.6189 data_time: 0.1060 memory: 17350 grad_norm: 5.5280 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7958 loss: 1.7958 2022/07/22 17:37:41 - mmengine - INFO - Epoch(train) [24][820/3757] lr: 1.0000e-02 eta: 2 days, 5:11:38 time: 0.7980 data_time: 0.0963 memory: 17350 grad_norm: 5.3910 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9271 loss: 1.9271 2022/07/22 17:37:53 - mmengine - INFO - Epoch(train) [24][840/3757] lr: 1.0000e-02 eta: 2 days, 5:11:19 time: 0.5757 data_time: 0.0217 memory: 17350 grad_norm: 5.4018 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0498 loss: 2.0498 2022/07/22 17:38:07 - mmengine - INFO - Epoch(train) [24][860/3757] lr: 1.0000e-02 eta: 2 days, 5:11:08 time: 0.7048 data_time: 0.0308 memory: 17350 grad_norm: 5.5517 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2569 loss: 2.2569 2022/07/22 17:38:19 - mmengine - INFO - Epoch(train) [24][880/3757] lr: 1.0000e-02 eta: 2 days, 5:10:50 time: 0.5956 data_time: 0.0210 memory: 17350 grad_norm: 5.4562 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7955 loss: 1.7955 2022/07/22 17:38:33 - mmengine - INFO - Epoch(train) [24][900/3757] lr: 1.0000e-02 eta: 2 days, 5:10:40 time: 0.7072 data_time: 0.0247 memory: 17350 grad_norm: 5.2744 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7863 loss: 1.7863 2022/07/22 17:38:46 - mmengine - INFO - Epoch(train) [24][920/3757] lr: 1.0000e-02 eta: 2 days, 5:10:26 time: 0.6594 data_time: 0.0358 memory: 17350 grad_norm: 5.4701 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0403 loss: 2.0403 2022/07/22 17:39:00 - mmengine - INFO - Epoch(train) [24][940/3757] lr: 1.0000e-02 eta: 2 days, 5:10:15 time: 0.6963 data_time: 0.0236 memory: 17350 grad_norm: 5.3651 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9418 loss: 1.9418 2022/07/22 17:39:12 - mmengine - INFO - Epoch(train) [24][960/3757] lr: 1.0000e-02 eta: 2 days, 5:09:57 time: 0.5900 data_time: 0.0218 memory: 17350 grad_norm: 5.4605 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8570 loss: 1.8570 2022/07/22 17:39:26 - mmengine - INFO - Epoch(train) [24][980/3757] lr: 1.0000e-02 eta: 2 days, 5:09:48 time: 0.7257 data_time: 0.0223 memory: 17350 grad_norm: 5.5678 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6706 loss: 1.6706 2022/07/22 17:39:38 - mmengine - INFO - Epoch(train) [24][1000/3757] lr: 1.0000e-02 eta: 2 days, 5:09:31 time: 0.6026 data_time: 0.0219 memory: 17350 grad_norm: 5.6234 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0180 loss: 2.0180 2022/07/22 17:39:52 - mmengine - INFO - Epoch(train) [24][1020/3757] lr: 1.0000e-02 eta: 2 days, 5:09:20 time: 0.7045 data_time: 0.0221 memory: 17350 grad_norm: 5.4582 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0951 loss: 2.0951 2022/07/22 17:40:06 - mmengine - INFO - Epoch(train) [24][1040/3757] lr: 1.0000e-02 eta: 2 days, 5:09:07 time: 0.6723 data_time: 0.0218 memory: 17350 grad_norm: 5.2379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8305 loss: 1.8305 2022/07/22 17:40:20 - mmengine - INFO - Epoch(train) [24][1060/3757] lr: 1.0000e-02 eta: 2 days, 5:08:58 time: 0.7212 data_time: 0.0237 memory: 17350 grad_norm: 5.4829 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7780 loss: 1.7780 2022/07/22 17:40:33 - mmengine - INFO - Epoch(train) [24][1080/3757] lr: 1.0000e-02 eta: 2 days, 5:08:41 time: 0.6161 data_time: 0.0232 memory: 17350 grad_norm: 5.4187 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6327 loss: 1.6327 2022/07/22 17:40:47 - mmengine - INFO - Epoch(train) [24][1100/3757] lr: 1.0000e-02 eta: 2 days, 5:08:33 time: 0.7314 data_time: 0.0227 memory: 17350 grad_norm: 5.4849 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8056 loss: 1.8056 2022/07/22 17:40:59 - mmengine - INFO - Epoch(train) [24][1120/3757] lr: 1.0000e-02 eta: 2 days, 5:08:13 time: 0.5701 data_time: 0.0228 memory: 17350 grad_norm: 5.4340 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7965 loss: 1.7965 2022/07/22 17:41:13 - mmengine - INFO - Epoch(train) [24][1140/3757] lr: 1.0000e-02 eta: 2 days, 5:08:02 time: 0.6914 data_time: 0.0216 memory: 17350 grad_norm: 5.1749 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8965 loss: 1.8965 2022/07/22 17:41:25 - mmengine - INFO - Epoch(train) [24][1160/3757] lr: 1.0000e-02 eta: 2 days, 5:07:45 time: 0.6077 data_time: 0.0244 memory: 17350 grad_norm: 5.3585 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6027 loss: 1.6027 2022/07/22 17:41:39 - mmengine - INFO - Epoch(train) [24][1180/3757] lr: 1.0000e-02 eta: 2 days, 5:07:34 time: 0.7027 data_time: 0.0252 memory: 17350 grad_norm: 5.3908 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8948 loss: 1.8948 2022/07/22 17:41:51 - mmengine - INFO - Epoch(train) [24][1200/3757] lr: 1.0000e-02 eta: 2 days, 5:07:18 time: 0.6229 data_time: 0.0230 memory: 17350 grad_norm: 5.4784 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8767 loss: 1.8767 2022/07/22 17:42:06 - mmengine - INFO - Epoch(train) [24][1220/3757] lr: 1.0000e-02 eta: 2 days, 5:07:10 time: 0.7392 data_time: 0.0790 memory: 17350 grad_norm: 5.4832 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8782 loss: 1.8782 2022/07/22 17:42:18 - mmengine - INFO - Epoch(train) [24][1240/3757] lr: 1.0000e-02 eta: 2 days, 5:06:53 time: 0.6086 data_time: 0.0806 memory: 17350 grad_norm: 5.6997 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9599 loss: 1.9599 2022/07/22 17:42:33 - mmengine - INFO - Epoch(train) [24][1260/3757] lr: 1.0000e-02 eta: 2 days, 5:06:45 time: 0.7527 data_time: 0.0949 memory: 17350 grad_norm: 5.3723 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9419 loss: 1.9419 2022/07/22 17:42:45 - mmengine - INFO - Epoch(train) [24][1280/3757] lr: 1.0000e-02 eta: 2 days, 5:06:27 time: 0.5933 data_time: 0.0333 memory: 17350 grad_norm: 5.5204 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9857 loss: 1.9857 2022/07/22 17:43:00 - mmengine - INFO - Epoch(train) [24][1300/3757] lr: 1.0000e-02 eta: 2 days, 5:06:18 time: 0.7256 data_time: 0.0245 memory: 17350 grad_norm: 5.3531 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7728 loss: 1.7728 2022/07/22 17:43:12 - mmengine - INFO - Epoch(train) [24][1320/3757] lr: 1.0000e-02 eta: 2 days, 5:06:01 time: 0.6078 data_time: 0.0264 memory: 17350 grad_norm: 5.3775 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0150 loss: 2.0150 2022/07/22 17:43:27 - mmengine - INFO - Epoch(train) [24][1340/3757] lr: 1.0000e-02 eta: 2 days, 5:05:53 time: 0.7456 data_time: 0.0236 memory: 17350 grad_norm: 5.4422 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0251 loss: 2.0251 2022/07/22 17:43:38 - mmengine - INFO - Epoch(train) [24][1360/3757] lr: 1.0000e-02 eta: 2 days, 5:05:34 time: 0.5736 data_time: 0.0218 memory: 17350 grad_norm: 5.4939 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9177 loss: 1.9177 2022/07/22 17:43:53 - mmengine - INFO - Epoch(train) [24][1380/3757] lr: 1.0000e-02 eta: 2 days, 5:05:27 time: 0.7500 data_time: 0.0224 memory: 17350 grad_norm: 5.5698 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6768 loss: 1.6768 2022/07/22 17:44:06 - mmengine - INFO - Epoch(train) [24][1400/3757] lr: 1.0000e-02 eta: 2 days, 5:05:11 time: 0.6223 data_time: 0.0281 memory: 17350 grad_norm: 5.6085 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8974 loss: 1.8974 2022/07/22 17:44:20 - mmengine - INFO - Epoch(train) [24][1420/3757] lr: 1.0000e-02 eta: 2 days, 5:05:01 time: 0.7233 data_time: 0.0221 memory: 17350 grad_norm: 5.4844 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9158 loss: 1.9158 2022/07/22 17:44:32 - mmengine - INFO - Epoch(train) [24][1440/3757] lr: 1.0000e-02 eta: 2 days, 5:04:43 time: 0.5929 data_time: 0.0236 memory: 17350 grad_norm: 5.4708 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8504 loss: 1.8504 2022/07/22 17:44:46 - mmengine - INFO - Epoch(train) [24][1460/3757] lr: 1.0000e-02 eta: 2 days, 5:04:32 time: 0.6943 data_time: 0.0221 memory: 17350 grad_norm: 5.3493 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0761 loss: 2.0761 2022/07/22 17:44:59 - mmengine - INFO - Epoch(train) [24][1480/3757] lr: 1.0000e-02 eta: 2 days, 5:04:17 time: 0.6394 data_time: 0.0221 memory: 17350 grad_norm: 5.4001 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1333 loss: 2.1333 2022/07/22 17:45:13 - mmengine - INFO - Epoch(train) [24][1500/3757] lr: 1.0000e-02 eta: 2 days, 5:04:08 time: 0.7242 data_time: 0.0218 memory: 17350 grad_norm: 5.2416 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7067 loss: 1.7067 2022/07/22 17:45:24 - mmengine - INFO - Epoch(train) [24][1520/3757] lr: 1.0000e-02 eta: 2 days, 5:03:48 time: 0.5653 data_time: 0.0242 memory: 17350 grad_norm: 5.3619 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7804 loss: 1.7804 2022/07/22 17:45:39 - mmengine - INFO - Epoch(train) [24][1540/3757] lr: 1.0000e-02 eta: 2 days, 5:03:37 time: 0.7013 data_time: 0.0215 memory: 17350 grad_norm: 5.3921 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1250 loss: 2.1250 2022/07/22 17:45:51 - mmengine - INFO - Epoch(train) [24][1560/3757] lr: 1.0000e-02 eta: 2 days, 5:03:22 time: 0.6376 data_time: 0.0249 memory: 17350 grad_norm: 5.6026 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0198 loss: 2.0198 2022/07/22 17:46:05 - mmengine - INFO - Epoch(train) [24][1580/3757] lr: 1.0000e-02 eta: 2 days, 5:03:10 time: 0.6778 data_time: 0.0231 memory: 17350 grad_norm: 5.4855 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7482 loss: 1.7482 2022/07/22 17:46:11 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 17:46:18 - mmengine - INFO - Epoch(train) [24][1600/3757] lr: 1.0000e-02 eta: 2 days, 5:02:55 time: 0.6464 data_time: 0.0243 memory: 17350 grad_norm: 5.5058 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1200 loss: 2.1200 2022/07/22 17:46:32 - mmengine - INFO - Epoch(train) [24][1620/3757] lr: 1.0000e-02 eta: 2 days, 5:02:45 time: 0.7018 data_time: 0.0208 memory: 17350 grad_norm: 5.4117 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8000 loss: 1.8000 2022/07/22 17:46:45 - mmengine - INFO - Epoch(train) [24][1640/3757] lr: 1.0000e-02 eta: 2 days, 5:02:30 time: 0.6384 data_time: 0.0235 memory: 17350 grad_norm: 5.5479 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8819 loss: 1.8819 2022/07/22 17:46:58 - mmengine - INFO - Epoch(train) [24][1660/3757] lr: 1.0000e-02 eta: 2 days, 5:02:18 time: 0.6838 data_time: 0.0201 memory: 17350 grad_norm: 5.4675 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9070 loss: 1.9070 2022/07/22 17:47:12 - mmengine - INFO - Epoch(train) [24][1680/3757] lr: 1.0000e-02 eta: 2 days, 5:02:05 time: 0.6742 data_time: 0.0234 memory: 17350 grad_norm: 5.5057 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0002 loss: 2.0002 2022/07/22 17:47:24 - mmengine - INFO - Epoch(train) [24][1700/3757] lr: 1.0000e-02 eta: 2 days, 5:01:48 time: 0.6066 data_time: 0.0213 memory: 17350 grad_norm: 5.3957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9056 loss: 1.9056 2022/07/22 17:47:37 - mmengine - INFO - Epoch(train) [24][1720/3757] lr: 1.0000e-02 eta: 2 days, 5:01:34 time: 0.6519 data_time: 0.0233 memory: 17350 grad_norm: 5.6269 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9515 loss: 1.9515 2022/07/22 17:47:52 - mmengine - INFO - Epoch(train) [24][1740/3757] lr: 1.0000e-02 eta: 2 days, 5:01:26 time: 0.7496 data_time: 0.0210 memory: 17350 grad_norm: 5.5479 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3167 loss: 2.3167 2022/07/22 17:48:03 - mmengine - INFO - Epoch(train) [24][1760/3757] lr: 1.0000e-02 eta: 2 days, 5:01:06 time: 0.5616 data_time: 0.0242 memory: 17350 grad_norm: 5.5211 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8337 loss: 1.8337 2022/07/22 17:48:17 - mmengine - INFO - Epoch(train) [24][1780/3757] lr: 1.0000e-02 eta: 2 days, 5:00:56 time: 0.7133 data_time: 0.0220 memory: 17350 grad_norm: 5.4130 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8183 loss: 1.8183 2022/07/22 17:48:31 - mmengine - INFO - Epoch(train) [24][1800/3757] lr: 1.0000e-02 eta: 2 days, 5:00:44 time: 0.6749 data_time: 0.0226 memory: 17350 grad_norm: 5.4667 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4400 loss: 1.4400 2022/07/22 17:48:44 - mmengine - INFO - Epoch(train) [24][1820/3757] lr: 1.0000e-02 eta: 2 days, 5:00:29 time: 0.6445 data_time: 0.0215 memory: 17350 grad_norm: 5.4441 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0497 loss: 2.0497 2022/07/22 17:48:57 - mmengine - INFO - Epoch(train) [24][1840/3757] lr: 1.0000e-02 eta: 2 days, 5:00:17 time: 0.6743 data_time: 0.0235 memory: 17350 grad_norm: 5.5705 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8594 loss: 1.8594 2022/07/22 17:49:10 - mmengine - INFO - Epoch(train) [24][1860/3757] lr: 1.0000e-02 eta: 2 days, 5:00:02 time: 0.6382 data_time: 0.0247 memory: 17350 grad_norm: 5.4794 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9264 loss: 1.9264 2022/07/22 17:49:23 - mmengine - INFO - Epoch(train) [24][1880/3757] lr: 1.0000e-02 eta: 2 days, 4:59:48 time: 0.6533 data_time: 0.0217 memory: 17350 grad_norm: 5.3001 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2189 loss: 2.2189 2022/07/22 17:49:37 - mmengine - INFO - Epoch(train) [24][1900/3757] lr: 1.0000e-02 eta: 2 days, 4:59:37 time: 0.6989 data_time: 0.0239 memory: 17350 grad_norm: 5.5693 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0250 loss: 2.0250 2022/07/22 17:49:49 - mmengine - INFO - Epoch(train) [24][1920/3757] lr: 1.0000e-02 eta: 2 days, 4:59:20 time: 0.6097 data_time: 0.0231 memory: 17350 grad_norm: 5.5782 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8062 loss: 1.8062 2022/07/22 17:50:03 - mmengine - INFO - Epoch(train) [24][1940/3757] lr: 1.0000e-02 eta: 2 days, 4:59:09 time: 0.7027 data_time: 0.0214 memory: 17350 grad_norm: 5.3848 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8901 loss: 1.8901 2022/07/22 17:50:17 - mmengine - INFO - Epoch(train) [24][1960/3757] lr: 1.0000e-02 eta: 2 days, 4:58:56 time: 0.6616 data_time: 0.0252 memory: 17350 grad_norm: 5.5596 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8554 loss: 1.8554 2022/07/22 17:50:30 - mmengine - INFO - Epoch(train) [24][1980/3757] lr: 1.0000e-02 eta: 2 days, 4:58:43 time: 0.6714 data_time: 0.0248 memory: 17350 grad_norm: 5.5396 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0081 loss: 2.0081 2022/07/22 17:50:43 - mmengine - INFO - Epoch(train) [24][2000/3757] lr: 1.0000e-02 eta: 2 days, 4:58:29 time: 0.6514 data_time: 0.0211 memory: 17350 grad_norm: 5.6018 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2382 loss: 2.2382 2022/07/22 17:50:58 - mmengine - INFO - Epoch(train) [24][2020/3757] lr: 1.0000e-02 eta: 2 days, 4:58:20 time: 0.7280 data_time: 0.0228 memory: 17350 grad_norm: 5.3911 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0353 loss: 2.0353 2022/07/22 17:51:10 - mmengine - INFO - Epoch(train) [24][2040/3757] lr: 1.0000e-02 eta: 2 days, 4:58:02 time: 0.5905 data_time: 0.0222 memory: 17350 grad_norm: 5.3749 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8929 loss: 1.8929 2022/07/22 17:51:24 - mmengine - INFO - Epoch(train) [24][2060/3757] lr: 1.0000e-02 eta: 2 days, 4:57:52 time: 0.7219 data_time: 0.0206 memory: 17350 grad_norm: 5.3908 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2449 loss: 2.2449 2022/07/22 17:51:36 - mmengine - INFO - Epoch(train) [24][2080/3757] lr: 1.0000e-02 eta: 2 days, 4:57:36 time: 0.6161 data_time: 0.0255 memory: 17350 grad_norm: 5.5633 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0819 loss: 2.0819 2022/07/22 17:51:50 - mmengine - INFO - Epoch(train) [24][2100/3757] lr: 1.0000e-02 eta: 2 days, 4:57:26 time: 0.7093 data_time: 0.0219 memory: 17350 grad_norm: 5.6368 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6682 loss: 1.6682 2022/07/22 17:52:02 - mmengine - INFO - Epoch(train) [24][2120/3757] lr: 1.0000e-02 eta: 2 days, 4:57:07 time: 0.5832 data_time: 0.0234 memory: 17350 grad_norm: 5.4914 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2356 loss: 2.2356 2022/07/22 17:52:16 - mmengine - INFO - Epoch(train) [24][2140/3757] lr: 1.0000e-02 eta: 2 days, 4:56:56 time: 0.7019 data_time: 0.0238 memory: 17350 grad_norm: 5.3879 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0651 loss: 2.0651 2022/07/22 17:52:28 - mmengine - INFO - Epoch(train) [24][2160/3757] lr: 1.0000e-02 eta: 2 days, 4:56:39 time: 0.5943 data_time: 0.0234 memory: 17350 grad_norm: 5.4886 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8080 loss: 1.8080 2022/07/22 17:52:44 - mmengine - INFO - Epoch(train) [24][2180/3757] lr: 1.0000e-02 eta: 2 days, 4:56:33 time: 0.7854 data_time: 0.0224 memory: 17350 grad_norm: 5.4498 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8739 loss: 1.8739 2022/07/22 17:52:57 - mmengine - INFO - Epoch(train) [24][2200/3757] lr: 1.0000e-02 eta: 2 days, 4:56:18 time: 0.6350 data_time: 0.0220 memory: 17350 grad_norm: 5.5274 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9003 loss: 1.9003 2022/07/22 17:53:10 - mmengine - INFO - Epoch(train) [24][2220/3757] lr: 1.0000e-02 eta: 2 days, 4:56:05 time: 0.6624 data_time: 0.0224 memory: 17350 grad_norm: 5.4736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6895 loss: 1.6895 2022/07/22 17:53:22 - mmengine - INFO - Epoch(train) [24][2240/3757] lr: 1.0000e-02 eta: 2 days, 4:55:49 time: 0.6301 data_time: 0.0221 memory: 17350 grad_norm: 5.5973 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2146 loss: 2.2146 2022/07/22 17:53:37 - mmengine - INFO - Epoch(train) [24][2260/3757] lr: 1.0000e-02 eta: 2 days, 4:55:39 time: 0.7098 data_time: 0.0232 memory: 17350 grad_norm: 5.3748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9304 loss: 1.9304 2022/07/22 17:53:49 - mmengine - INFO - Epoch(train) [24][2280/3757] lr: 1.0000e-02 eta: 2 days, 4:55:21 time: 0.5969 data_time: 0.0223 memory: 17350 grad_norm: 5.4694 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9289 loss: 1.9289 2022/07/22 17:54:03 - mmengine - INFO - Epoch(train) [24][2300/3757] lr: 1.0000e-02 eta: 2 days, 4:55:11 time: 0.7176 data_time: 0.0210 memory: 17350 grad_norm: 5.3187 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8991 loss: 1.8991 2022/07/22 17:54:15 - mmengine - INFO - Epoch(train) [24][2320/3757] lr: 1.0000e-02 eta: 2 days, 4:54:53 time: 0.5864 data_time: 0.0219 memory: 17350 grad_norm: 5.4462 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0772 loss: 2.0772 2022/07/22 17:54:30 - mmengine - INFO - Epoch(train) [24][2340/3757] lr: 1.0000e-02 eta: 2 days, 4:54:46 time: 0.7539 data_time: 0.0231 memory: 17350 grad_norm: 5.6139 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9022 loss: 1.9022 2022/07/22 17:54:42 - mmengine - INFO - Epoch(train) [24][2360/3757] lr: 1.0000e-02 eta: 2 days, 4:54:29 time: 0.6145 data_time: 0.0227 memory: 17350 grad_norm: 5.5157 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3936 loss: 2.3936 2022/07/22 17:54:57 - mmengine - INFO - Epoch(train) [24][2380/3757] lr: 1.0000e-02 eta: 2 days, 4:54:21 time: 0.7394 data_time: 0.0222 memory: 17350 grad_norm: 5.4510 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9036 loss: 1.9036 2022/07/22 17:55:09 - mmengine - INFO - Epoch(train) [24][2400/3757] lr: 1.0000e-02 eta: 2 days, 4:54:04 time: 0.6110 data_time: 0.0233 memory: 17350 grad_norm: 5.3163 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8415 loss: 1.8415 2022/07/22 17:55:23 - mmengine - INFO - Epoch(train) [24][2420/3757] lr: 1.0000e-02 eta: 2 days, 4:53:53 time: 0.7005 data_time: 0.0231 memory: 17350 grad_norm: 5.3314 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7973 loss: 1.7973 2022/07/22 17:55:35 - mmengine - INFO - Epoch(train) [24][2440/3757] lr: 1.0000e-02 eta: 2 days, 4:53:36 time: 0.6088 data_time: 0.0201 memory: 17350 grad_norm: 5.1118 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9731 loss: 1.9731 2022/07/22 17:55:50 - mmengine - INFO - Epoch(train) [24][2460/3757] lr: 1.0000e-02 eta: 2 days, 4:53:28 time: 0.7309 data_time: 0.0178 memory: 17350 grad_norm: 5.2666 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6615 loss: 1.6615 2022/07/22 17:56:02 - mmengine - INFO - Epoch(train) [24][2480/3757] lr: 1.0000e-02 eta: 2 days, 4:53:09 time: 0.5885 data_time: 0.0208 memory: 17350 grad_norm: 5.4837 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2001 loss: 2.2001 2022/07/22 17:56:16 - mmengine - INFO - Epoch(train) [24][2500/3757] lr: 1.0000e-02 eta: 2 days, 4:52:59 time: 0.7080 data_time: 0.0238 memory: 17350 grad_norm: 5.3777 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8449 loss: 1.8449 2022/07/22 17:56:28 - mmengine - INFO - Epoch(train) [24][2520/3757] lr: 1.0000e-02 eta: 2 days, 4:52:41 time: 0.5964 data_time: 0.0215 memory: 17350 grad_norm: 5.3432 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9725 loss: 1.9725 2022/07/22 17:56:42 - mmengine - INFO - Epoch(train) [24][2540/3757] lr: 1.0000e-02 eta: 2 days, 4:52:30 time: 0.6894 data_time: 0.0418 memory: 17350 grad_norm: 5.4250 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8574 loss: 1.8574 2022/07/22 17:56:54 - mmengine - INFO - Epoch(train) [24][2560/3757] lr: 1.0000e-02 eta: 2 days, 4:52:14 time: 0.6313 data_time: 0.1658 memory: 17350 grad_norm: 5.3724 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2139 loss: 2.2139 2022/07/22 17:57:08 - mmengine - INFO - Epoch(train) [24][2580/3757] lr: 1.0000e-02 eta: 2 days, 4:52:03 time: 0.7002 data_time: 0.0920 memory: 17350 grad_norm: 5.3811 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8086 loss: 1.8086 2022/07/22 17:57:14 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 17:57:20 - mmengine - INFO - Epoch(train) [24][2600/3757] lr: 1.0000e-02 eta: 2 days, 4:51:47 time: 0.6125 data_time: 0.0911 memory: 17350 grad_norm: 5.5422 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0277 loss: 2.0277 2022/07/22 17:57:34 - mmengine - INFO - Epoch(train) [24][2620/3757] lr: 1.0000e-02 eta: 2 days, 4:51:35 time: 0.6926 data_time: 0.1362 memory: 17350 grad_norm: 5.4433 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9410 loss: 1.9410 2022/07/22 17:57:47 - mmengine - INFO - Epoch(train) [24][2640/3757] lr: 1.0000e-02 eta: 2 days, 4:51:21 time: 0.6418 data_time: 0.1096 memory: 17350 grad_norm: 5.3747 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0645 loss: 2.0645 2022/07/22 17:58:01 - mmengine - INFO - Epoch(train) [24][2660/3757] lr: 1.0000e-02 eta: 2 days, 4:51:08 time: 0.6729 data_time: 0.1750 memory: 17350 grad_norm: 5.4155 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8052 loss: 1.8052 2022/07/22 17:58:14 - mmengine - INFO - Epoch(train) [24][2680/3757] lr: 1.0000e-02 eta: 2 days, 4:50:57 time: 0.6913 data_time: 0.1083 memory: 17350 grad_norm: 5.2659 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0299 loss: 2.0299 2022/07/22 17:58:27 - mmengine - INFO - Epoch(train) [24][2700/3757] lr: 1.0000e-02 eta: 2 days, 4:50:41 time: 0.6313 data_time: 0.1063 memory: 17350 grad_norm: 5.4249 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6949 loss: 1.6949 2022/07/22 17:58:41 - mmengine - INFO - Epoch(train) [24][2720/3757] lr: 1.0000e-02 eta: 2 days, 4:50:30 time: 0.7047 data_time: 0.0324 memory: 17350 grad_norm: 5.5828 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1666 loss: 2.1666 2022/07/22 17:58:54 - mmengine - INFO - Epoch(train) [24][2740/3757] lr: 1.0000e-02 eta: 2 days, 4:50:17 time: 0.6527 data_time: 0.0238 memory: 17350 grad_norm: 5.3249 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7656 loss: 1.7656 2022/07/22 17:59:07 - mmengine - INFO - Epoch(train) [24][2760/3757] lr: 1.0000e-02 eta: 2 days, 4:50:03 time: 0.6532 data_time: 0.0254 memory: 17350 grad_norm: 5.3473 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7597 loss: 1.7597 2022/07/22 17:59:21 - mmengine - INFO - Epoch(train) [24][2780/3757] lr: 1.0000e-02 eta: 2 days, 4:49:49 time: 0.6618 data_time: 0.0423 memory: 17350 grad_norm: 5.4837 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0099 loss: 2.0099 2022/07/22 17:59:34 - mmengine - INFO - Epoch(train) [24][2800/3757] lr: 1.0000e-02 eta: 2 days, 4:49:36 time: 0.6715 data_time: 0.0220 memory: 17350 grad_norm: 5.5104 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9788 loss: 1.9788 2022/07/22 17:59:48 - mmengine - INFO - Epoch(train) [24][2820/3757] lr: 1.0000e-02 eta: 2 days, 4:49:24 time: 0.6859 data_time: 0.0234 memory: 17350 grad_norm: 5.5504 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9624 loss: 1.9624 2022/07/22 18:00:00 - mmengine - INFO - Epoch(train) [24][2840/3757] lr: 1.0000e-02 eta: 2 days, 4:49:10 time: 0.6401 data_time: 0.0299 memory: 17350 grad_norm: 5.3794 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7937 loss: 1.7937 2022/07/22 18:00:14 - mmengine - INFO - Epoch(train) [24][2860/3757] lr: 1.0000e-02 eta: 2 days, 4:48:56 time: 0.6575 data_time: 0.0358 memory: 17350 grad_norm: 5.3323 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6649 loss: 1.6649 2022/07/22 18:00:28 - mmengine - INFO - Epoch(train) [24][2880/3757] lr: 1.0000e-02 eta: 2 days, 4:48:46 time: 0.7180 data_time: 0.0267 memory: 17350 grad_norm: 5.4428 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0344 loss: 2.0344 2022/07/22 18:00:41 - mmengine - INFO - Epoch(train) [24][2900/3757] lr: 1.0000e-02 eta: 2 days, 4:48:32 time: 0.6427 data_time: 0.0494 memory: 17350 grad_norm: 5.5830 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1657 loss: 2.1657 2022/07/22 18:00:53 - mmengine - INFO - Epoch(train) [24][2920/3757] lr: 1.0000e-02 eta: 2 days, 4:48:16 time: 0.6318 data_time: 0.1129 memory: 17350 grad_norm: 5.4895 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8905 loss: 1.8905 2022/07/22 18:01:08 - mmengine - INFO - Epoch(train) [24][2940/3757] lr: 1.0000e-02 eta: 2 days, 4:48:06 time: 0.7054 data_time: 0.2328 memory: 17350 grad_norm: 5.2550 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0046 loss: 2.0046 2022/07/22 18:01:20 - mmengine - INFO - Epoch(train) [24][2960/3757] lr: 1.0000e-02 eta: 2 days, 4:47:49 time: 0.6108 data_time: 0.1283 memory: 17350 grad_norm: 5.3255 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9351 loss: 1.9351 2022/07/22 18:01:35 - mmengine - INFO - Epoch(train) [24][2980/3757] lr: 1.0000e-02 eta: 2 days, 4:47:41 time: 0.7426 data_time: 0.2401 memory: 17350 grad_norm: 5.5408 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9634 loss: 1.9634 2022/07/22 18:01:46 - mmengine - INFO - Epoch(train) [24][3000/3757] lr: 1.0000e-02 eta: 2 days, 4:47:22 time: 0.5852 data_time: 0.2113 memory: 17350 grad_norm: 5.5472 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9823 loss: 1.9823 2022/07/22 18:02:00 - mmengine - INFO - Epoch(train) [24][3020/3757] lr: 1.0000e-02 eta: 2 days, 4:47:12 time: 0.7013 data_time: 0.3086 memory: 17350 grad_norm: 5.4925 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0123 loss: 2.0123 2022/07/22 18:02:13 - mmengine - INFO - Epoch(train) [24][3040/3757] lr: 1.0000e-02 eta: 2 days, 4:46:55 time: 0.6157 data_time: 0.2853 memory: 17350 grad_norm: 5.3466 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9387 loss: 1.9387 2022/07/22 18:02:27 - mmengine - INFO - Epoch(train) [24][3060/3757] lr: 1.0000e-02 eta: 2 days, 4:46:44 time: 0.6919 data_time: 0.2981 memory: 17350 grad_norm: 5.4548 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8880 loss: 1.8880 2022/07/22 18:02:39 - mmengine - INFO - Epoch(train) [24][3080/3757] lr: 1.0000e-02 eta: 2 days, 4:46:28 time: 0.6290 data_time: 0.1780 memory: 17350 grad_norm: 5.3512 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0096 loss: 2.0096 2022/07/22 18:02:52 - mmengine - INFO - Epoch(train) [24][3100/3757] lr: 1.0000e-02 eta: 2 days, 4:46:13 time: 0.6399 data_time: 0.1227 memory: 17350 grad_norm: 5.4173 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8643 loss: 1.8643 2022/07/22 18:03:06 - mmengine - INFO - Epoch(train) [24][3120/3757] lr: 1.0000e-02 eta: 2 days, 4:46:01 time: 0.6768 data_time: 0.0669 memory: 17350 grad_norm: 5.4076 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8892 loss: 1.8892 2022/07/22 18:03:19 - mmengine - INFO - Epoch(train) [24][3140/3757] lr: 1.0000e-02 eta: 2 days, 4:45:48 time: 0.6695 data_time: 0.1233 memory: 17350 grad_norm: 5.4259 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0394 loss: 2.0394 2022/07/22 18:03:32 - mmengine - INFO - Epoch(train) [24][3160/3757] lr: 1.0000e-02 eta: 2 days, 4:45:35 time: 0.6666 data_time: 0.0693 memory: 17350 grad_norm: 5.3208 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5975 loss: 1.5975 2022/07/22 18:03:46 - mmengine - INFO - Epoch(train) [24][3180/3757] lr: 1.0000e-02 eta: 2 days, 4:45:24 time: 0.7049 data_time: 0.0851 memory: 17350 grad_norm: 5.7113 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9875 loss: 1.9875 2022/07/22 18:03:59 - mmengine - INFO - Epoch(train) [24][3200/3757] lr: 1.0000e-02 eta: 2 days, 4:45:08 time: 0.6145 data_time: 0.0670 memory: 17350 grad_norm: 5.2996 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0806 loss: 2.0806 2022/07/22 18:04:13 - mmengine - INFO - Epoch(train) [24][3220/3757] lr: 1.0000e-02 eta: 2 days, 4:44:58 time: 0.7239 data_time: 0.1179 memory: 17350 grad_norm: 5.3880 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9468 loss: 1.9468 2022/07/22 18:04:25 - mmengine - INFO - Epoch(train) [24][3240/3757] lr: 1.0000e-02 eta: 2 days, 4:44:39 time: 0.5738 data_time: 0.0878 memory: 17350 grad_norm: 5.5174 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8405 loss: 1.8405 2022/07/22 18:04:39 - mmengine - INFO - Epoch(train) [24][3260/3757] lr: 1.0000e-02 eta: 2 days, 4:44:31 time: 0.7389 data_time: 0.0203 memory: 17350 grad_norm: 5.2203 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0189 loss: 2.0189 2022/07/22 18:04:52 - mmengine - INFO - Epoch(train) [24][3280/3757] lr: 1.0000e-02 eta: 2 days, 4:44:14 time: 0.6067 data_time: 0.0335 memory: 17350 grad_norm: 5.4076 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2806 loss: 2.2806 2022/07/22 18:05:07 - mmengine - INFO - Epoch(train) [24][3300/3757] lr: 1.0000e-02 eta: 2 days, 4:44:09 time: 0.7934 data_time: 0.0359 memory: 17350 grad_norm: 5.4463 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0137 loss: 2.0137 2022/07/22 18:05:20 - mmengine - INFO - Epoch(train) [24][3320/3757] lr: 1.0000e-02 eta: 2 days, 4:43:54 time: 0.6295 data_time: 0.0238 memory: 17350 grad_norm: 5.3168 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0981 loss: 2.0981 2022/07/22 18:05:33 - mmengine - INFO - Epoch(train) [24][3340/3757] lr: 1.0000e-02 eta: 2 days, 4:43:40 time: 0.6541 data_time: 0.0211 memory: 17350 grad_norm: 5.3954 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4591 loss: 2.4591 2022/07/22 18:05:45 - mmengine - INFO - Epoch(train) [24][3360/3757] lr: 1.0000e-02 eta: 2 days, 4:43:21 time: 0.5799 data_time: 0.0221 memory: 17350 grad_norm: 5.5465 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7991 loss: 1.7991 2022/07/22 18:06:00 - mmengine - INFO - Epoch(train) [24][3380/3757] lr: 1.0000e-02 eta: 2 days, 4:43:14 time: 0.7555 data_time: 0.0572 memory: 17350 grad_norm: 5.2398 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7593 loss: 1.7593 2022/07/22 18:06:12 - mmengine - INFO - Epoch(train) [24][3400/3757] lr: 1.0000e-02 eta: 2 days, 4:42:56 time: 0.5973 data_time: 0.0626 memory: 17350 grad_norm: 5.3411 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9702 loss: 1.9702 2022/07/22 18:06:25 - mmengine - INFO - Epoch(train) [24][3420/3757] lr: 1.0000e-02 eta: 2 days, 4:42:43 time: 0.6616 data_time: 0.1547 memory: 17350 grad_norm: 5.2548 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6406 loss: 1.6406 2022/07/22 18:06:39 - mmengine - INFO - Epoch(train) [24][3440/3757] lr: 1.0000e-02 eta: 2 days, 4:42:31 time: 0.6860 data_time: 0.1508 memory: 17350 grad_norm: 5.4379 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0250 loss: 2.0250 2022/07/22 18:06:52 - mmengine - INFO - Epoch(train) [24][3460/3757] lr: 1.0000e-02 eta: 2 days, 4:42:18 time: 0.6780 data_time: 0.1677 memory: 17350 grad_norm: 5.5793 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9832 loss: 1.9832 2022/07/22 18:07:05 - mmengine - INFO - Epoch(train) [24][3480/3757] lr: 1.0000e-02 eta: 2 days, 4:42:02 time: 0.6166 data_time: 0.1012 memory: 17350 grad_norm: 5.6024 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9522 loss: 1.9522 2022/07/22 18:07:19 - mmengine - INFO - Epoch(train) [24][3500/3757] lr: 1.0000e-02 eta: 2 days, 4:41:52 time: 0.7206 data_time: 0.1395 memory: 17350 grad_norm: 5.3196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6947 loss: 1.6947 2022/07/22 18:07:32 - mmengine - INFO - Epoch(train) [24][3520/3757] lr: 1.0000e-02 eta: 2 days, 4:41:37 time: 0.6356 data_time: 0.1583 memory: 17350 grad_norm: 5.5799 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1476 loss: 2.1476 2022/07/22 18:07:45 - mmengine - INFO - Epoch(train) [24][3540/3757] lr: 1.0000e-02 eta: 2 days, 4:41:25 time: 0.6802 data_time: 0.1327 memory: 17350 grad_norm: 5.4554 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8357 loss: 1.8357 2022/07/22 18:08:00 - mmengine - INFO - Epoch(train) [24][3560/3757] lr: 1.0000e-02 eta: 2 days, 4:41:15 time: 0.7208 data_time: 0.0568 memory: 17350 grad_norm: 5.3470 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0179 loss: 2.0179 2022/07/22 18:08:12 - mmengine - INFO - Epoch(train) [24][3580/3757] lr: 1.0000e-02 eta: 2 days, 4:40:59 time: 0.6146 data_time: 0.0237 memory: 17350 grad_norm: 5.3846 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0070 loss: 2.0070 2022/07/22 18:08:18 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 18:08:26 - mmengine - INFO - Epoch(train) [24][3600/3757] lr: 1.0000e-02 eta: 2 days, 4:40:49 time: 0.7144 data_time: 0.0214 memory: 17350 grad_norm: 5.5385 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0300 loss: 2.0300 2022/07/22 18:08:38 - mmengine - INFO - Epoch(train) [24][3620/3757] lr: 1.0000e-02 eta: 2 days, 4:40:31 time: 0.5942 data_time: 0.0218 memory: 17350 grad_norm: 5.3634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9852 loss: 1.9852 2022/07/22 18:08:53 - mmengine - INFO - Epoch(train) [24][3640/3757] lr: 1.0000e-02 eta: 2 days, 4:40:24 time: 0.7509 data_time: 0.0238 memory: 17350 grad_norm: 5.4769 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1098 loss: 2.1098 2022/07/22 18:09:06 - mmengine - INFO - Epoch(train) [24][3660/3757] lr: 1.0000e-02 eta: 2 days, 4:40:09 time: 0.6363 data_time: 0.0221 memory: 17350 grad_norm: 5.5407 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8017 loss: 1.8017 2022/07/22 18:09:20 - mmengine - INFO - Epoch(train) [24][3680/3757] lr: 1.0000e-02 eta: 2 days, 4:39:56 time: 0.6775 data_time: 0.0208 memory: 17350 grad_norm: 5.5060 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1179 loss: 2.1179 2022/07/22 18:09:32 - mmengine - INFO - Epoch(train) [24][3700/3757] lr: 1.0000e-02 eta: 2 days, 4:39:39 time: 0.6084 data_time: 0.0234 memory: 17350 grad_norm: 5.3948 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8150 loss: 1.8150 2022/07/22 18:09:46 - mmengine - INFO - Epoch(train) [24][3720/3757] lr: 1.0000e-02 eta: 2 days, 4:39:29 time: 0.7023 data_time: 0.0236 memory: 17350 grad_norm: 5.4099 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0991 loss: 2.0991 2022/07/22 18:09:58 - mmengine - INFO - Epoch(train) [24][3740/3757] lr: 1.0000e-02 eta: 2 days, 4:39:11 time: 0.5949 data_time: 0.0211 memory: 17350 grad_norm: 5.3274 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3002 loss: 2.3002 2022/07/22 18:10:07 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 18:10:07 - mmengine - INFO - Epoch(train) [24][3757/3757] lr: 1.0000e-02 eta: 2 days, 4:39:11 time: 0.5283 data_time: 0.0235 memory: 17350 grad_norm: 5.4800 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.7417 loss: 1.7417 2022/07/22 18:10:24 - mmengine - INFO - Epoch(val) [24][20/310] eta: 0:04:00 time: 0.8305 data_time: 0.7148 memory: 3406 2022/07/22 18:10:35 - mmengine - INFO - Epoch(val) [24][40/310] eta: 0:02:22 time: 0.5289 data_time: 0.4154 memory: 3406 2022/07/22 18:10:51 - mmengine - INFO - Epoch(val) [24][60/310] eta: 0:03:27 time: 0.8317 data_time: 0.7099 memory: 3406 2022/07/22 18:11:03 - mmengine - INFO - Epoch(val) [24][80/310] eta: 0:02:21 time: 0.6167 data_time: 0.5059 memory: 3406 2022/07/22 18:11:19 - mmengine - INFO - Epoch(val) [24][100/310] eta: 0:02:44 time: 0.7844 data_time: 0.6712 memory: 3406 2022/07/22 18:11:31 - mmengine - INFO - Epoch(val) [24][120/310] eta: 0:01:55 time: 0.6104 data_time: 0.4987 memory: 3406 2022/07/22 18:11:45 - mmengine - INFO - Epoch(val) [24][140/310] eta: 0:01:59 time: 0.7032 data_time: 0.5912 memory: 3406 2022/07/22 18:11:58 - mmengine - INFO - Epoch(val) [24][160/310] eta: 0:01:36 time: 0.6418 data_time: 0.5273 memory: 3406 2022/07/22 18:12:12 - mmengine - INFO - Epoch(val) [24][180/310] eta: 0:01:26 time: 0.6677 data_time: 0.5537 memory: 3406 2022/07/22 18:12:23 - mmengine - INFO - Epoch(val) [24][200/310] eta: 0:01:02 time: 0.5645 data_time: 0.4528 memory: 3406 2022/07/22 18:12:39 - mmengine - INFO - Epoch(val) [24][220/310] eta: 0:01:10 time: 0.7851 data_time: 0.6728 memory: 3406 2022/07/22 18:12:50 - mmengine - INFO - Epoch(val) [24][240/310] eta: 0:00:39 time: 0.5583 data_time: 0.4449 memory: 3406 2022/07/22 18:13:04 - mmengine - INFO - Epoch(val) [24][260/310] eta: 0:00:35 time: 0.7098 data_time: 0.5962 memory: 3406 2022/07/22 18:13:15 - mmengine - INFO - Epoch(val) [24][280/310] eta: 0:00:16 time: 0.5570 data_time: 0.4457 memory: 3406 2022/07/22 18:13:29 - mmengine - INFO - Epoch(val) [24][300/310] eta: 0:00:06 time: 0.6756 data_time: 0.5624 memory: 3406 2022/07/22 18:13:33 - mmengine - INFO - Epoch(val) [24][310/310] acc/top1: 0.5799 acc/top5: 0.8145 acc/mean1: 0.5797 2022/07/22 18:13:33 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_22.pth is removed 2022/07/22 18:13:37 - mmengine - INFO - The best checkpoint with 0.5799 acc/top1 at 25 epoch is saved to best_acc/top1_epoch_25.pth. 2022/07/22 18:13:53 - mmengine - INFO - Epoch(train) [25][20/3757] lr: 1.0000e-02 eta: 2 days, 4:38:21 time: 0.8256 data_time: 0.5028 memory: 17350 grad_norm: 5.4666 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7712 loss: 1.7712 2022/07/22 18:14:06 - mmengine - INFO - Epoch(train) [25][40/3757] lr: 1.0000e-02 eta: 2 days, 4:38:05 time: 0.6287 data_time: 0.2900 memory: 17350 grad_norm: 5.6075 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0813 loss: 2.0813 2022/07/22 18:14:20 - mmengine - INFO - Epoch(train) [25][60/3757] lr: 1.0000e-02 eta: 2 days, 4:37:56 time: 0.7183 data_time: 0.3787 memory: 17350 grad_norm: 5.3293 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8956 loss: 1.8956 2022/07/22 18:14:32 - mmengine - INFO - Epoch(train) [25][80/3757] lr: 1.0000e-02 eta: 2 days, 4:37:38 time: 0.5963 data_time: 0.2666 memory: 17350 grad_norm: 5.2976 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0984 loss: 2.0984 2022/07/22 18:14:46 - mmengine - INFO - Epoch(train) [25][100/3757] lr: 1.0000e-02 eta: 2 days, 4:37:27 time: 0.6972 data_time: 0.3701 memory: 17350 grad_norm: 5.3164 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5823 loss: 1.5823 2022/07/22 18:14:58 - mmengine - INFO - Epoch(train) [25][120/3757] lr: 1.0000e-02 eta: 2 days, 4:37:09 time: 0.5980 data_time: 0.2703 memory: 17350 grad_norm: 5.4772 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0117 loss: 2.0117 2022/07/22 18:15:13 - mmengine - INFO - Epoch(train) [25][140/3757] lr: 1.0000e-02 eta: 2 days, 4:37:00 time: 0.7174 data_time: 0.3920 memory: 17350 grad_norm: 5.4322 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9404 loss: 1.9404 2022/07/22 18:15:25 - mmengine - INFO - Epoch(train) [25][160/3757] lr: 1.0000e-02 eta: 2 days, 4:36:43 time: 0.6081 data_time: 0.2757 memory: 17350 grad_norm: 5.6070 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7510 loss: 1.7510 2022/07/22 18:15:40 - mmengine - INFO - Epoch(train) [25][180/3757] lr: 1.0000e-02 eta: 2 days, 4:36:36 time: 0.7651 data_time: 0.4235 memory: 17350 grad_norm: 5.2709 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1933 loss: 2.1933 2022/07/22 18:15:52 - mmengine - INFO - Epoch(train) [25][200/3757] lr: 1.0000e-02 eta: 2 days, 4:36:19 time: 0.6143 data_time: 0.2836 memory: 17350 grad_norm: 5.2156 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1911 loss: 2.1911 2022/07/22 18:16:07 - mmengine - INFO - Epoch(train) [25][220/3757] lr: 1.0000e-02 eta: 2 days, 4:36:11 time: 0.7374 data_time: 0.4086 memory: 17350 grad_norm: 5.4900 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9200 loss: 1.9200 2022/07/22 18:16:19 - mmengine - INFO - Epoch(train) [25][240/3757] lr: 1.0000e-02 eta: 2 days, 4:35:52 time: 0.5826 data_time: 0.2514 memory: 17350 grad_norm: 5.3988 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8440 loss: 1.8440 2022/07/22 18:16:34 - mmengine - INFO - Epoch(train) [25][260/3757] lr: 1.0000e-02 eta: 2 days, 4:35:46 time: 0.7645 data_time: 0.4264 memory: 17350 grad_norm: 5.2528 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7537 loss: 1.7537 2022/07/22 18:16:46 - mmengine - INFO - Epoch(train) [25][280/3757] lr: 1.0000e-02 eta: 2 days, 4:35:28 time: 0.5935 data_time: 0.2600 memory: 17350 grad_norm: 5.4410 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1932 loss: 2.1932 2022/07/22 18:17:00 - mmengine - INFO - Epoch(train) [25][300/3757] lr: 1.0000e-02 eta: 2 days, 4:35:18 time: 0.7159 data_time: 0.3802 memory: 17350 grad_norm: 5.3250 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8967 loss: 1.8967 2022/07/22 18:17:12 - mmengine - INFO - Epoch(train) [25][320/3757] lr: 1.0000e-02 eta: 2 days, 4:34:59 time: 0.5750 data_time: 0.2440 memory: 17350 grad_norm: 5.4582 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6205 loss: 1.6205 2022/07/22 18:17:27 - mmengine - INFO - Epoch(train) [25][340/3757] lr: 1.0000e-02 eta: 2 days, 4:34:50 time: 0.7391 data_time: 0.4081 memory: 17350 grad_norm: 5.5284 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9897 loss: 1.9897 2022/07/22 18:17:38 - mmengine - INFO - Epoch(train) [25][360/3757] lr: 1.0000e-02 eta: 2 days, 4:34:32 time: 0.5819 data_time: 0.2488 memory: 17350 grad_norm: 5.3769 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8302 loss: 1.8302 2022/07/22 18:17:53 - mmengine - INFO - Epoch(train) [25][380/3757] lr: 1.0000e-02 eta: 2 days, 4:34:22 time: 0.7190 data_time: 0.3726 memory: 17350 grad_norm: 5.3605 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9157 loss: 1.9157 2022/07/22 18:18:04 - mmengine - INFO - Epoch(train) [25][400/3757] lr: 1.0000e-02 eta: 2 days, 4:34:04 time: 0.5835 data_time: 0.2507 memory: 17350 grad_norm: 5.3551 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1073 loss: 2.1073 2022/07/22 18:18:19 - mmengine - INFO - Epoch(train) [25][420/3757] lr: 1.0000e-02 eta: 2 days, 4:33:55 time: 0.7272 data_time: 0.3473 memory: 17350 grad_norm: 5.6145 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9920 loss: 1.9920 2022/07/22 18:18:32 - mmengine - INFO - Epoch(train) [25][440/3757] lr: 1.0000e-02 eta: 2 days, 4:33:41 time: 0.6562 data_time: 0.2400 memory: 17350 grad_norm: 5.2548 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6566 loss: 1.6566 2022/07/22 18:18:45 - mmengine - INFO - Epoch(train) [25][460/3757] lr: 1.0000e-02 eta: 2 days, 4:33:27 time: 0.6542 data_time: 0.2029 memory: 17350 grad_norm: 5.3475 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9548 loss: 1.9548 2022/07/22 18:18:59 - mmengine - INFO - Epoch(train) [25][480/3757] lr: 1.0000e-02 eta: 2 days, 4:33:14 time: 0.6757 data_time: 0.1557 memory: 17350 grad_norm: 5.5391 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1995 loss: 2.1995 2022/07/22 18:19:12 - mmengine - INFO - Epoch(train) [25][500/3757] lr: 1.0000e-02 eta: 2 days, 4:33:01 time: 0.6581 data_time: 0.1512 memory: 17350 grad_norm: 5.3096 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7422 loss: 1.7422 2022/07/22 18:19:25 - mmengine - INFO - Epoch(train) [25][520/3757] lr: 1.0000e-02 eta: 2 days, 4:32:48 time: 0.6762 data_time: 0.1072 memory: 17350 grad_norm: 5.3510 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9090 loss: 1.9090 2022/07/22 18:19:39 - mmengine - INFO - Epoch(train) [25][540/3757] lr: 1.0000e-02 eta: 2 days, 4:32:36 time: 0.6822 data_time: 0.2351 memory: 17350 grad_norm: 5.4461 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7512 loss: 1.7512 2022/07/22 18:19:51 - mmengine - INFO - Epoch(train) [25][560/3757] lr: 1.0000e-02 eta: 2 days, 4:32:19 time: 0.6063 data_time: 0.1360 memory: 17350 grad_norm: 5.3475 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7634 loss: 1.7634 2022/07/22 18:20:06 - mmengine - INFO - Epoch(train) [25][580/3757] lr: 1.0000e-02 eta: 2 days, 4:32:10 time: 0.7232 data_time: 0.3149 memory: 17350 grad_norm: 5.4137 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9432 loss: 1.9432 2022/07/22 18:20:18 - mmengine - INFO - Epoch(train) [25][600/3757] lr: 1.0000e-02 eta: 2 days, 4:31:53 time: 0.6052 data_time: 0.2647 memory: 17350 grad_norm: 5.5814 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8752 loss: 1.8752 2022/07/22 18:20:32 - mmengine - INFO - Epoch(train) [25][620/3757] lr: 1.0000e-02 eta: 2 days, 4:31:44 time: 0.7376 data_time: 0.3777 memory: 17350 grad_norm: 5.6176 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0339 loss: 2.0339 2022/07/22 18:20:45 - mmengine - INFO - Epoch(train) [25][640/3757] lr: 1.0000e-02 eta: 2 days, 4:31:29 time: 0.6336 data_time: 0.2006 memory: 17350 grad_norm: 5.3211 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8519 loss: 1.8519 2022/07/22 18:21:00 - mmengine - INFO - Epoch(train) [25][660/3757] lr: 1.0000e-02 eta: 2 days, 4:31:21 time: 0.7387 data_time: 0.1650 memory: 17350 grad_norm: 5.3346 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6868 loss: 1.6868 2022/07/22 18:21:11 - mmengine - INFO - Epoch(train) [25][680/3757] lr: 1.0000e-02 eta: 2 days, 4:31:01 time: 0.5701 data_time: 0.0611 memory: 17350 grad_norm: 5.5693 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8170 loss: 1.8170 2022/07/22 18:21:25 - mmengine - INFO - Epoch(train) [25][700/3757] lr: 1.0000e-02 eta: 2 days, 4:30:48 time: 0.6659 data_time: 0.2875 memory: 17350 grad_norm: 5.4608 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8835 loss: 1.8835 2022/07/22 18:21:36 - mmengine - INFO - Epoch(train) [25][720/3757] lr: 1.0000e-02 eta: 2 days, 4:30:30 time: 0.5868 data_time: 0.2436 memory: 17350 grad_norm: 5.4475 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1226 loss: 2.1226 2022/07/22 18:21:51 - mmengine - INFO - Epoch(train) [25][740/3757] lr: 1.0000e-02 eta: 2 days, 4:30:22 time: 0.7452 data_time: 0.2921 memory: 17350 grad_norm: 5.4108 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0103 loss: 2.0103 2022/07/22 18:22:04 - mmengine - INFO - Epoch(train) [25][760/3757] lr: 1.0000e-02 eta: 2 days, 4:30:07 time: 0.6444 data_time: 0.1067 memory: 17350 grad_norm: 5.4560 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2431 loss: 2.2431 2022/07/22 18:22:18 - mmengine - INFO - Epoch(train) [25][780/3757] lr: 1.0000e-02 eta: 2 days, 4:29:56 time: 0.6983 data_time: 0.3298 memory: 17350 grad_norm: 5.4163 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8571 loss: 1.8571 2022/07/22 18:22:31 - mmengine - INFO - Epoch(train) [25][800/3757] lr: 1.0000e-02 eta: 2 days, 4:29:41 time: 0.6293 data_time: 0.2248 memory: 17350 grad_norm: 5.6002 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9124 loss: 1.9124 2022/07/22 18:22:46 - mmengine - INFO - Epoch(train) [25][820/3757] lr: 1.0000e-02 eta: 2 days, 4:29:33 time: 0.7463 data_time: 0.3258 memory: 17350 grad_norm: 5.4897 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8510 loss: 1.8510 2022/07/22 18:22:52 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 18:22:57 - mmengine - INFO - Epoch(train) [25][840/3757] lr: 1.0000e-02 eta: 2 days, 4:29:14 time: 0.5782 data_time: 0.2345 memory: 17350 grad_norm: 5.3505 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6818 loss: 1.6818 2022/07/22 18:23:12 - mmengine - INFO - Epoch(train) [25][860/3757] lr: 1.0000e-02 eta: 2 days, 4:29:06 time: 0.7456 data_time: 0.4118 memory: 17350 grad_norm: 5.7096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6099 loss: 1.6099 2022/07/22 18:23:24 - mmengine - INFO - Epoch(train) [25][880/3757] lr: 1.0000e-02 eta: 2 days, 4:28:49 time: 0.6050 data_time: 0.2744 memory: 17350 grad_norm: 5.3582 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0150 loss: 2.0150 2022/07/22 18:23:38 - mmengine - INFO - Epoch(train) [25][900/3757] lr: 1.0000e-02 eta: 2 days, 4:28:38 time: 0.7039 data_time: 0.3672 memory: 17350 grad_norm: 5.4412 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0321 loss: 2.0321 2022/07/22 18:23:50 - mmengine - INFO - Epoch(train) [25][920/3757] lr: 1.0000e-02 eta: 2 days, 4:28:22 time: 0.6085 data_time: 0.2757 memory: 17350 grad_norm: 5.2069 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7778 loss: 1.7778 2022/07/22 18:24:05 - mmengine - INFO - Epoch(train) [25][940/3757] lr: 1.0000e-02 eta: 2 days, 4:28:11 time: 0.7118 data_time: 0.3760 memory: 17350 grad_norm: 5.5637 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0712 loss: 2.0712 2022/07/22 18:24:16 - mmengine - INFO - Epoch(train) [25][960/3757] lr: 1.0000e-02 eta: 2 days, 4:27:53 time: 0.5857 data_time: 0.2550 memory: 17350 grad_norm: 5.4637 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7766 loss: 1.7766 2022/07/22 18:24:32 - mmengine - INFO - Epoch(train) [25][980/3757] lr: 1.0000e-02 eta: 2 days, 4:27:46 time: 0.7631 data_time: 0.4300 memory: 17350 grad_norm: 5.4127 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1585 loss: 2.1585 2022/07/22 18:24:44 - mmengine - INFO - Epoch(train) [25][1000/3757] lr: 1.0000e-02 eta: 2 days, 4:27:29 time: 0.6021 data_time: 0.2666 memory: 17350 grad_norm: 5.4612 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0107 loss: 2.0107 2022/07/22 18:24:58 - mmengine - INFO - Epoch(train) [25][1020/3757] lr: 1.0000e-02 eta: 2 days, 4:27:20 time: 0.7327 data_time: 0.4008 memory: 17350 grad_norm: 5.5516 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9539 loss: 1.9539 2022/07/22 18:25:11 - mmengine - INFO - Epoch(train) [25][1040/3757] lr: 1.0000e-02 eta: 2 days, 4:27:05 time: 0.6392 data_time: 0.3041 memory: 17350 grad_norm: 5.2867 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7581 loss: 1.7581 2022/07/22 18:25:26 - mmengine - INFO - Epoch(train) [25][1060/3757] lr: 1.0000e-02 eta: 2 days, 4:26:56 time: 0.7214 data_time: 0.3796 memory: 17350 grad_norm: 5.7113 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1156 loss: 2.1156 2022/07/22 18:25:38 - mmengine - INFO - Epoch(train) [25][1080/3757] lr: 1.0000e-02 eta: 2 days, 4:26:39 time: 0.6129 data_time: 0.2340 memory: 17350 grad_norm: 5.4660 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2384 loss: 2.2384 2022/07/22 18:25:53 - mmengine - INFO - Epoch(train) [25][1100/3757] lr: 1.0000e-02 eta: 2 days, 4:26:32 time: 0.7691 data_time: 0.4331 memory: 17350 grad_norm: 5.4929 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7680 loss: 1.7680 2022/07/22 18:26:05 - mmengine - INFO - Epoch(train) [25][1120/3757] lr: 1.0000e-02 eta: 2 days, 4:26:14 time: 0.5759 data_time: 0.2464 memory: 17350 grad_norm: 5.4305 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7193 loss: 1.7193 2022/07/22 18:26:20 - mmengine - INFO - Epoch(train) [25][1140/3757] lr: 1.0000e-02 eta: 2 days, 4:26:05 time: 0.7374 data_time: 0.4010 memory: 17350 grad_norm: 5.4383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8721 loss: 1.8721 2022/07/22 18:26:32 - mmengine - INFO - Epoch(train) [25][1160/3757] lr: 1.0000e-02 eta: 2 days, 4:25:48 time: 0.6008 data_time: 0.2679 memory: 17350 grad_norm: 5.2886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9898 loss: 1.9898 2022/07/22 18:26:46 - mmengine - INFO - Epoch(train) [25][1180/3757] lr: 1.0000e-02 eta: 2 days, 4:25:37 time: 0.7016 data_time: 0.3691 memory: 17350 grad_norm: 5.2282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8582 loss: 1.8582 2022/07/22 18:26:57 - mmengine - INFO - Epoch(train) [25][1200/3757] lr: 1.0000e-02 eta: 2 days, 4:25:19 time: 0.5828 data_time: 0.2509 memory: 17350 grad_norm: 5.3548 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8035 loss: 1.8035 2022/07/22 18:27:12 - mmengine - INFO - Epoch(train) [25][1220/3757] lr: 1.0000e-02 eta: 2 days, 4:25:08 time: 0.7127 data_time: 0.3779 memory: 17350 grad_norm: 5.4373 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9974 loss: 1.9974 2022/07/22 18:27:23 - mmengine - INFO - Epoch(train) [25][1240/3757] lr: 1.0000e-02 eta: 2 days, 4:24:49 time: 0.5589 data_time: 0.2250 memory: 17350 grad_norm: 5.4216 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9911 loss: 1.9911 2022/07/22 18:27:37 - mmengine - INFO - Epoch(train) [25][1260/3757] lr: 1.0000e-02 eta: 2 days, 4:24:39 time: 0.7205 data_time: 0.3874 memory: 17350 grad_norm: 5.3414 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7058 loss: 1.7058 2022/07/22 18:27:49 - mmengine - INFO - Epoch(train) [25][1280/3757] lr: 1.0000e-02 eta: 2 days, 4:24:21 time: 0.5900 data_time: 0.2291 memory: 17350 grad_norm: 5.4115 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8601 loss: 1.8601 2022/07/22 18:28:04 - mmengine - INFO - Epoch(train) [25][1300/3757] lr: 1.0000e-02 eta: 2 days, 4:24:12 time: 0.7284 data_time: 0.2823 memory: 17350 grad_norm: 5.1422 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7269 loss: 1.7269 2022/07/22 18:28:16 - mmengine - INFO - Epoch(train) [25][1320/3757] lr: 1.0000e-02 eta: 2 days, 4:23:57 time: 0.6457 data_time: 0.1557 memory: 17350 grad_norm: 5.3806 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7030 loss: 1.7030 2022/07/22 18:28:30 - mmengine - INFO - Epoch(train) [25][1340/3757] lr: 1.0000e-02 eta: 2 days, 4:23:44 time: 0.6670 data_time: 0.1436 memory: 17350 grad_norm: 5.3972 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8928 loss: 1.8928 2022/07/22 18:28:43 - mmengine - INFO - Epoch(train) [25][1360/3757] lr: 1.0000e-02 eta: 2 days, 4:23:30 time: 0.6436 data_time: 0.1557 memory: 17350 grad_norm: 5.4526 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8113 loss: 1.8113 2022/07/22 18:28:57 - mmengine - INFO - Epoch(train) [25][1380/3757] lr: 1.0000e-02 eta: 2 days, 4:23:21 time: 0.7343 data_time: 0.1817 memory: 17350 grad_norm: 5.4564 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9452 loss: 1.9452 2022/07/22 18:29:09 - mmengine - INFO - Epoch(train) [25][1400/3757] lr: 1.0000e-02 eta: 2 days, 4:23:03 time: 0.5891 data_time: 0.0826 memory: 17350 grad_norm: 5.4731 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0234 loss: 2.0234 2022/07/22 18:29:24 - mmengine - INFO - Epoch(train) [25][1420/3757] lr: 1.0000e-02 eta: 2 days, 4:22:54 time: 0.7396 data_time: 0.3703 memory: 17350 grad_norm: 5.3846 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9796 loss: 1.9796 2022/07/22 18:29:36 - mmengine - INFO - Epoch(train) [25][1440/3757] lr: 1.0000e-02 eta: 2 days, 4:22:37 time: 0.5991 data_time: 0.2399 memory: 17350 grad_norm: 5.3884 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1058 loss: 2.1058 2022/07/22 18:29:50 - mmengine - INFO - Epoch(train) [25][1460/3757] lr: 1.0000e-02 eta: 2 days, 4:22:27 time: 0.7112 data_time: 0.3188 memory: 17350 grad_norm: 5.3980 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7284 loss: 1.7284 2022/07/22 18:30:02 - mmengine - INFO - Epoch(train) [25][1480/3757] lr: 1.0000e-02 eta: 2 days, 4:22:10 time: 0.6025 data_time: 0.2578 memory: 17350 grad_norm: 5.3710 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9930 loss: 1.9930 2022/07/22 18:30:17 - mmengine - INFO - Epoch(train) [25][1500/3757] lr: 1.0000e-02 eta: 2 days, 4:22:02 time: 0.7559 data_time: 0.3503 memory: 17350 grad_norm: 5.5547 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5608 loss: 1.5608 2022/07/22 18:30:30 - mmengine - INFO - Epoch(train) [25][1520/3757] lr: 1.0000e-02 eta: 2 days, 4:21:46 time: 0.6151 data_time: 0.2034 memory: 17350 grad_norm: 5.6092 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9505 loss: 1.9505 2022/07/22 18:30:44 - mmengine - INFO - Epoch(train) [25][1540/3757] lr: 1.0000e-02 eta: 2 days, 4:21:35 time: 0.6965 data_time: 0.3471 memory: 17350 grad_norm: 5.3752 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7340 loss: 1.7340 2022/07/22 18:30:56 - mmengine - INFO - Epoch(train) [25][1560/3757] lr: 1.0000e-02 eta: 2 days, 4:21:17 time: 0.5976 data_time: 0.2575 memory: 17350 grad_norm: 5.5269 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9355 loss: 1.9355 2022/07/22 18:31:10 - mmengine - INFO - Epoch(train) [25][1580/3757] lr: 1.0000e-02 eta: 2 days, 4:21:07 time: 0.7177 data_time: 0.3734 memory: 17350 grad_norm: 5.3843 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0633 loss: 2.0633 2022/07/22 18:31:22 - mmengine - INFO - Epoch(train) [25][1600/3757] lr: 1.0000e-02 eta: 2 days, 4:20:51 time: 0.6209 data_time: 0.2232 memory: 17350 grad_norm: 5.4517 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8269 loss: 1.8269 2022/07/22 18:31:37 - mmengine - INFO - Epoch(train) [25][1620/3757] lr: 1.0000e-02 eta: 2 days, 4:20:42 time: 0.7346 data_time: 0.3327 memory: 17350 grad_norm: 5.5195 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9118 loss: 1.9118 2022/07/22 18:31:49 - mmengine - INFO - Epoch(train) [25][1640/3757] lr: 1.0000e-02 eta: 2 days, 4:20:27 time: 0.6210 data_time: 0.2856 memory: 17350 grad_norm: 5.3240 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9633 loss: 1.9633 2022/07/22 18:32:04 - mmengine - INFO - Epoch(train) [25][1660/3757] lr: 1.0000e-02 eta: 2 days, 4:20:16 time: 0.7045 data_time: 0.3553 memory: 17350 grad_norm: 5.4270 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0133 loss: 2.0133 2022/07/22 18:32:16 - mmengine - INFO - Epoch(train) [25][1680/3757] lr: 1.0000e-02 eta: 2 days, 4:20:00 time: 0.6168 data_time: 0.2787 memory: 17350 grad_norm: 5.3656 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7943 loss: 1.7943 2022/07/22 18:32:30 - mmengine - INFO - Epoch(train) [25][1700/3757] lr: 1.0000e-02 eta: 2 days, 4:19:48 time: 0.6833 data_time: 0.2932 memory: 17350 grad_norm: 5.2055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0248 loss: 2.0248 2022/07/22 18:32:42 - mmengine - INFO - Epoch(train) [25][1720/3757] lr: 1.0000e-02 eta: 2 days, 4:19:32 time: 0.6273 data_time: 0.2139 memory: 17350 grad_norm: 5.6726 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9145 loss: 1.9145 2022/07/22 18:32:57 - mmengine - INFO - Epoch(train) [25][1740/3757] lr: 1.0000e-02 eta: 2 days, 4:19:22 time: 0.7203 data_time: 0.3484 memory: 17350 grad_norm: 5.3906 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8099 loss: 1.8099 2022/07/22 18:33:08 - mmengine - INFO - Epoch(train) [25][1760/3757] lr: 1.0000e-02 eta: 2 days, 4:19:05 time: 0.5934 data_time: 0.2489 memory: 17350 grad_norm: 5.4196 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9152 loss: 1.9152 2022/07/22 18:33:23 - mmengine - INFO - Epoch(train) [25][1780/3757] lr: 1.0000e-02 eta: 2 days, 4:18:55 time: 0.7289 data_time: 0.3902 memory: 17350 grad_norm: 5.5939 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4175 loss: 2.4175 2022/07/22 18:33:36 - mmengine - INFO - Epoch(train) [25][1800/3757] lr: 1.0000e-02 eta: 2 days, 4:18:40 time: 0.6324 data_time: 0.2511 memory: 17350 grad_norm: 5.3762 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9112 loss: 1.9112 2022/07/22 18:33:50 - mmengine - INFO - Epoch(train) [25][1820/3757] lr: 1.0000e-02 eta: 2 days, 4:18:31 time: 0.7291 data_time: 0.2101 memory: 17350 grad_norm: 5.3673 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8859 loss: 1.8859 2022/07/22 18:33:58 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 18:34:03 - mmengine - INFO - Epoch(train) [25][1840/3757] lr: 1.0000e-02 eta: 2 days, 4:18:17 time: 0.6489 data_time: 0.1098 memory: 17350 grad_norm: 5.5626 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6938 loss: 1.6938 2022/07/22 18:34:17 - mmengine - INFO - Epoch(train) [25][1860/3757] lr: 1.0000e-02 eta: 2 days, 4:18:04 time: 0.6716 data_time: 0.0874 memory: 17350 grad_norm: 5.5452 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2799 loss: 2.2799 2022/07/22 18:34:29 - mmengine - INFO - Epoch(train) [25][1880/3757] lr: 1.0000e-02 eta: 2 days, 4:17:48 time: 0.6272 data_time: 0.0654 memory: 17350 grad_norm: 5.3957 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9033 loss: 1.9033 2022/07/22 18:34:42 - mmengine - INFO - Epoch(train) [25][1900/3757] lr: 1.0000e-02 eta: 2 days, 4:17:34 time: 0.6532 data_time: 0.1010 memory: 17350 grad_norm: 5.3960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9667 loss: 1.9667 2022/07/22 18:34:56 - mmengine - INFO - Epoch(train) [25][1920/3757] lr: 1.0000e-02 eta: 2 days, 4:17:24 time: 0.7051 data_time: 0.0946 memory: 17350 grad_norm: 5.5482 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0976 loss: 2.0976 2022/07/22 18:35:10 - mmengine - INFO - Epoch(train) [25][1940/3757] lr: 1.0000e-02 eta: 2 days, 4:17:10 time: 0.6622 data_time: 0.1144 memory: 17350 grad_norm: 5.4258 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9824 loss: 1.9824 2022/07/22 18:35:23 - mmengine - INFO - Epoch(train) [25][1960/3757] lr: 1.0000e-02 eta: 2 days, 4:16:58 time: 0.6801 data_time: 0.2396 memory: 17350 grad_norm: 5.6502 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8945 loss: 1.8945 2022/07/22 18:35:37 - mmengine - INFO - Epoch(train) [25][1980/3757] lr: 1.0000e-02 eta: 2 days, 4:16:45 time: 0.6649 data_time: 0.1564 memory: 17350 grad_norm: 5.4713 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8276 loss: 1.8276 2022/07/22 18:35:50 - mmengine - INFO - Epoch(train) [25][2000/3757] lr: 1.0000e-02 eta: 2 days, 4:16:31 time: 0.6510 data_time: 0.0835 memory: 17350 grad_norm: 5.4029 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7891 loss: 1.7891 2022/07/22 18:36:03 - mmengine - INFO - Epoch(train) [25][2020/3757] lr: 1.0000e-02 eta: 2 days, 4:16:18 time: 0.6718 data_time: 0.0602 memory: 17350 grad_norm: 5.3231 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9850 loss: 1.9850 2022/07/22 18:36:16 - mmengine - INFO - Epoch(train) [25][2040/3757] lr: 1.0000e-02 eta: 2 days, 4:16:05 time: 0.6705 data_time: 0.0292 memory: 17350 grad_norm: 5.5565 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8100 loss: 1.8100 2022/07/22 18:36:29 - mmengine - INFO - Epoch(train) [25][2060/3757] lr: 1.0000e-02 eta: 2 days, 4:15:49 time: 0.6169 data_time: 0.0251 memory: 17350 grad_norm: 5.6216 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2399 loss: 2.2399 2022/07/22 18:36:43 - mmengine - INFO - Epoch(train) [25][2080/3757] lr: 1.0000e-02 eta: 2 days, 4:15:39 time: 0.7182 data_time: 0.0235 memory: 17350 grad_norm: 5.4497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9921 loss: 1.9921 2022/07/22 18:36:56 - mmengine - INFO - Epoch(train) [25][2100/3757] lr: 1.0000e-02 eta: 2 days, 4:15:25 time: 0.6459 data_time: 0.0229 memory: 17350 grad_norm: 5.3413 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8311 loss: 1.8311 2022/07/22 18:37:10 - mmengine - INFO - Epoch(train) [25][2120/3757] lr: 1.0000e-02 eta: 2 days, 4:15:12 time: 0.6717 data_time: 0.0213 memory: 17350 grad_norm: 5.3795 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0704 loss: 2.0704 2022/07/22 18:37:24 - mmengine - INFO - Epoch(train) [25][2140/3757] lr: 1.0000e-02 eta: 2 days, 4:15:01 time: 0.7053 data_time: 0.0228 memory: 17350 grad_norm: 5.3808 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8787 loss: 1.8787 2022/07/22 18:37:36 - mmengine - INFO - Epoch(train) [25][2160/3757] lr: 1.0000e-02 eta: 2 days, 4:14:45 time: 0.6144 data_time: 0.0222 memory: 17350 grad_norm: 5.4010 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9602 loss: 1.9602 2022/07/22 18:37:50 - mmengine - INFO - Epoch(train) [25][2180/3757] lr: 1.0000e-02 eta: 2 days, 4:14:35 time: 0.7232 data_time: 0.0225 memory: 17350 grad_norm: 5.5324 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9091 loss: 1.9091 2022/07/22 18:38:03 - mmengine - INFO - Epoch(train) [25][2200/3757] lr: 1.0000e-02 eta: 2 days, 4:14:21 time: 0.6435 data_time: 0.0223 memory: 17350 grad_norm: 5.4665 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7356 loss: 1.7356 2022/07/22 18:38:17 - mmengine - INFO - Epoch(train) [25][2220/3757] lr: 1.0000e-02 eta: 2 days, 4:14:07 time: 0.6616 data_time: 0.0232 memory: 17350 grad_norm: 5.2396 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9464 loss: 1.9464 2022/07/22 18:38:31 - mmengine - INFO - Epoch(train) [25][2240/3757] lr: 1.0000e-02 eta: 2 days, 4:13:56 time: 0.7010 data_time: 0.0215 memory: 17350 grad_norm: 5.4167 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9079 loss: 1.9079 2022/07/22 18:38:44 - mmengine - INFO - Epoch(train) [25][2260/3757] lr: 1.0000e-02 eta: 2 days, 4:13:43 time: 0.6682 data_time: 0.0239 memory: 17350 grad_norm: 5.5306 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1014 loss: 2.1014 2022/07/22 18:38:57 - mmengine - INFO - Epoch(train) [25][2280/3757] lr: 1.0000e-02 eta: 2 days, 4:13:29 time: 0.6481 data_time: 0.0219 memory: 17350 grad_norm: 5.3038 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8783 loss: 1.8783 2022/07/22 18:39:10 - mmengine - INFO - Epoch(train) [25][2300/3757] lr: 1.0000e-02 eta: 2 days, 4:13:14 time: 0.6376 data_time: 0.0226 memory: 17350 grad_norm: 5.3977 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6047 loss: 1.6047 2022/07/22 18:39:24 - mmengine - INFO - Epoch(train) [25][2320/3757] lr: 1.0000e-02 eta: 2 days, 4:13:04 time: 0.7116 data_time: 0.0235 memory: 17350 grad_norm: 5.5212 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0117 loss: 2.0117 2022/07/22 18:39:36 - mmengine - INFO - Epoch(train) [25][2340/3757] lr: 1.0000e-02 eta: 2 days, 4:12:48 time: 0.6265 data_time: 0.0213 memory: 17350 grad_norm: 5.3552 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8227 loss: 1.8227 2022/07/22 18:39:51 - mmengine - INFO - Epoch(train) [25][2360/3757] lr: 1.0000e-02 eta: 2 days, 4:12:39 time: 0.7254 data_time: 0.0235 memory: 17350 grad_norm: 5.2507 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2084 loss: 2.2084 2022/07/22 18:40:03 - mmengine - INFO - Epoch(train) [25][2380/3757] lr: 1.0000e-02 eta: 2 days, 4:12:22 time: 0.6082 data_time: 0.0218 memory: 17350 grad_norm: 5.6470 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9537 loss: 1.9537 2022/07/22 18:40:18 - mmengine - INFO - Epoch(train) [25][2400/3757] lr: 1.0000e-02 eta: 2 days, 4:12:14 time: 0.7441 data_time: 0.0212 memory: 17350 grad_norm: 5.5552 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2234 loss: 2.2234 2022/07/22 18:40:30 - mmengine - INFO - Epoch(train) [25][2420/3757] lr: 1.0000e-02 eta: 2 days, 4:11:56 time: 0.5959 data_time: 0.0284 memory: 17350 grad_norm: 5.4809 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1005 loss: 2.1005 2022/07/22 18:40:44 - mmengine - INFO - Epoch(train) [25][2440/3757] lr: 1.0000e-02 eta: 2 days, 4:11:47 time: 0.7224 data_time: 0.0232 memory: 17350 grad_norm: 5.4948 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9988 loss: 1.9988 2022/07/22 18:40:56 - mmengine - INFO - Epoch(train) [25][2460/3757] lr: 1.0000e-02 eta: 2 days, 4:11:28 time: 0.5821 data_time: 0.0221 memory: 17350 grad_norm: 5.7129 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1330 loss: 2.1330 2022/07/22 18:41:09 - mmengine - INFO - Epoch(train) [25][2480/3757] lr: 1.0000e-02 eta: 2 days, 4:11:16 time: 0.6694 data_time: 0.0218 memory: 17350 grad_norm: 5.2852 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8485 loss: 1.8485 2022/07/22 18:41:21 - mmengine - INFO - Epoch(train) [25][2500/3757] lr: 1.0000e-02 eta: 2 days, 4:10:58 time: 0.5907 data_time: 0.0246 memory: 17350 grad_norm: 5.4067 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0091 loss: 2.0091 2022/07/22 18:41:36 - mmengine - INFO - Epoch(train) [25][2520/3757] lr: 1.0000e-02 eta: 2 days, 4:10:49 time: 0.7450 data_time: 0.0225 memory: 17350 grad_norm: 5.2644 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7771 loss: 1.7771 2022/07/22 18:41:48 - mmengine - INFO - Epoch(train) [25][2540/3757] lr: 1.0000e-02 eta: 2 days, 4:10:33 time: 0.6089 data_time: 0.0242 memory: 17350 grad_norm: 5.4839 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8943 loss: 1.8943 2022/07/22 18:42:04 - mmengine - INFO - Epoch(train) [25][2560/3757] lr: 1.0000e-02 eta: 2 days, 4:10:27 time: 0.7882 data_time: 0.0214 memory: 17350 grad_norm: 5.3351 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1130 loss: 2.1130 2022/07/22 18:42:15 - mmengine - INFO - Epoch(train) [25][2580/3757] lr: 1.0000e-02 eta: 2 days, 4:10:06 time: 0.5369 data_time: 0.0228 memory: 17350 grad_norm: 5.4019 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9449 loss: 1.9449 2022/07/22 18:42:30 - mmengine - INFO - Epoch(train) [25][2600/3757] lr: 1.0000e-02 eta: 2 days, 4:09:59 time: 0.7598 data_time: 0.0257 memory: 17350 grad_norm: 5.6196 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8239 loss: 1.8239 2022/07/22 18:42:42 - mmengine - INFO - Epoch(train) [25][2620/3757] lr: 1.0000e-02 eta: 2 days, 4:09:40 time: 0.5738 data_time: 0.0240 memory: 17350 grad_norm: 5.7688 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8210 loss: 1.8210 2022/07/22 18:42:56 - mmengine - INFO - Epoch(train) [25][2640/3757] lr: 1.0000e-02 eta: 2 days, 4:09:32 time: 0.7482 data_time: 0.0242 memory: 17350 grad_norm: 5.2788 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7836 loss: 1.7836 2022/07/22 18:43:08 - mmengine - INFO - Epoch(train) [25][2660/3757] lr: 1.0000e-02 eta: 2 days, 4:09:15 time: 0.5997 data_time: 0.0246 memory: 17350 grad_norm: 5.3108 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8971 loss: 1.8971 2022/07/22 18:43:23 - mmengine - INFO - Epoch(train) [25][2680/3757] lr: 1.0000e-02 eta: 2 days, 4:09:04 time: 0.7111 data_time: 0.0224 memory: 17350 grad_norm: 5.2586 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7715 loss: 1.7715 2022/07/22 18:43:35 - mmengine - INFO - Epoch(train) [25][2700/3757] lr: 1.0000e-02 eta: 2 days, 4:08:47 time: 0.5919 data_time: 0.0233 memory: 17350 grad_norm: 5.3410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7846 loss: 1.7846 2022/07/22 18:43:49 - mmengine - INFO - Epoch(train) [25][2720/3757] lr: 1.0000e-02 eta: 2 days, 4:08:37 time: 0.7256 data_time: 0.0217 memory: 17350 grad_norm: 5.5177 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9111 loss: 1.9111 2022/07/22 18:44:01 - mmengine - INFO - Epoch(train) [25][2740/3757] lr: 1.0000e-02 eta: 2 days, 4:08:20 time: 0.5997 data_time: 0.0236 memory: 17350 grad_norm: 5.2114 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9291 loss: 1.9291 2022/07/22 18:44:16 - mmengine - INFO - Epoch(train) [25][2760/3757] lr: 1.0000e-02 eta: 2 days, 4:08:12 time: 0.7436 data_time: 0.0216 memory: 17350 grad_norm: 5.3258 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9523 loss: 1.9523 2022/07/22 18:44:27 - mmengine - INFO - Epoch(train) [25][2780/3757] lr: 1.0000e-02 eta: 2 days, 4:07:53 time: 0.5751 data_time: 0.0239 memory: 17350 grad_norm: 5.4152 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9562 loss: 1.9562 2022/07/22 18:44:42 - mmengine - INFO - Epoch(train) [25][2800/3757] lr: 1.0000e-02 eta: 2 days, 4:07:42 time: 0.7076 data_time: 0.0225 memory: 17350 grad_norm: 5.2357 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9514 loss: 1.9514 2022/07/22 18:44:53 - mmengine - INFO - Epoch(train) [25][2820/3757] lr: 1.0000e-02 eta: 2 days, 4:07:23 time: 0.5595 data_time: 0.0221 memory: 17350 grad_norm: 5.2655 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0094 loss: 2.0094 2022/07/22 18:45:02 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 18:45:08 - mmengine - INFO - Epoch(train) [25][2840/3757] lr: 1.0000e-02 eta: 2 days, 4:07:16 time: 0.7792 data_time: 0.0211 memory: 17350 grad_norm: 5.6071 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2321 loss: 2.2321 2022/07/22 18:45:20 - mmengine - INFO - Epoch(train) [25][2860/3757] lr: 1.0000e-02 eta: 2 days, 4:06:58 time: 0.5840 data_time: 0.0214 memory: 17350 grad_norm: 5.5290 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9653 loss: 1.9653 2022/07/22 18:45:35 - mmengine - INFO - Epoch(train) [25][2880/3757] lr: 1.0000e-02 eta: 2 days, 4:06:49 time: 0.7231 data_time: 0.0221 memory: 17350 grad_norm: 5.3596 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2083 loss: 2.2083 2022/07/22 18:45:46 - mmengine - INFO - Epoch(train) [25][2900/3757] lr: 1.0000e-02 eta: 2 days, 4:06:31 time: 0.5875 data_time: 0.0233 memory: 17350 grad_norm: 5.3123 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9387 loss: 1.9387 2022/07/22 18:46:01 - mmengine - INFO - Epoch(train) [25][2920/3757] lr: 1.0000e-02 eta: 2 days, 4:06:22 time: 0.7450 data_time: 0.0238 memory: 17350 grad_norm: 5.3976 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6580 loss: 1.6580 2022/07/22 18:46:13 - mmengine - INFO - Epoch(train) [25][2940/3757] lr: 1.0000e-02 eta: 2 days, 4:06:06 time: 0.6105 data_time: 0.0832 memory: 17350 grad_norm: 5.2495 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7664 loss: 1.7664 2022/07/22 18:46:27 - mmengine - INFO - Epoch(train) [25][2960/3757] lr: 1.0000e-02 eta: 2 days, 4:05:55 time: 0.7007 data_time: 0.1418 memory: 17350 grad_norm: 5.3747 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9768 loss: 1.9768 2022/07/22 18:46:41 - mmengine - INFO - Epoch(train) [25][2980/3757] lr: 1.0000e-02 eta: 2 days, 4:05:42 time: 0.6671 data_time: 0.2289 memory: 17350 grad_norm: 5.4351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1751 loss: 2.1751 2022/07/22 18:46:55 - mmengine - INFO - Epoch(train) [25][3000/3757] lr: 1.0000e-02 eta: 2 days, 4:05:30 time: 0.6893 data_time: 0.0769 memory: 17350 grad_norm: 5.4991 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7546 loss: 1.7546 2022/07/22 18:47:07 - mmengine - INFO - Epoch(train) [25][3020/3757] lr: 1.0000e-02 eta: 2 days, 4:05:14 time: 0.6247 data_time: 0.0709 memory: 17350 grad_norm: 5.2079 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7442 loss: 1.7442 2022/07/22 18:47:21 - mmengine - INFO - Epoch(train) [25][3040/3757] lr: 1.0000e-02 eta: 2 days, 4:05:04 time: 0.7057 data_time: 0.0237 memory: 17350 grad_norm: 5.2114 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8215 loss: 1.8215 2022/07/22 18:47:33 - mmengine - INFO - Epoch(train) [25][3060/3757] lr: 1.0000e-02 eta: 2 days, 4:04:47 time: 0.6030 data_time: 0.0529 memory: 17350 grad_norm: 5.4519 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1664 loss: 2.1664 2022/07/22 18:47:47 - mmengine - INFO - Epoch(train) [25][3080/3757] lr: 1.0000e-02 eta: 2 days, 4:04:35 time: 0.6828 data_time: 0.0651 memory: 17350 grad_norm: 5.2405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7963 loss: 1.7963 2022/07/22 18:47:59 - mmengine - INFO - Epoch(train) [25][3100/3757] lr: 1.0000e-02 eta: 2 days, 4:04:18 time: 0.6072 data_time: 0.0867 memory: 17350 grad_norm: 5.3981 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8700 loss: 1.8700 2022/07/22 18:48:13 - mmengine - INFO - Epoch(train) [25][3120/3757] lr: 1.0000e-02 eta: 2 days, 4:04:07 time: 0.7045 data_time: 0.0326 memory: 17350 grad_norm: 5.6080 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1431 loss: 2.1431 2022/07/22 18:48:26 - mmengine - INFO - Epoch(train) [25][3140/3757] lr: 1.0000e-02 eta: 2 days, 4:03:51 time: 0.6162 data_time: 0.0455 memory: 17350 grad_norm: 5.3546 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0805 loss: 2.0805 2022/07/22 18:48:40 - mmengine - INFO - Epoch(train) [25][3160/3757] lr: 1.0000e-02 eta: 2 days, 4:03:40 time: 0.7063 data_time: 0.1258 memory: 17350 grad_norm: 5.2614 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0514 loss: 2.0514 2022/07/22 18:48:51 - mmengine - INFO - Epoch(train) [25][3180/3757] lr: 1.0000e-02 eta: 2 days, 4:03:22 time: 0.5900 data_time: 0.1157 memory: 17350 grad_norm: 5.5070 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7881 loss: 1.7881 2022/07/22 18:49:06 - mmengine - INFO - Epoch(train) [25][3200/3757] lr: 1.0000e-02 eta: 2 days, 4:03:13 time: 0.7287 data_time: 0.1682 memory: 17350 grad_norm: 5.5155 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6377 loss: 1.6377 2022/07/22 18:49:18 - mmengine - INFO - Epoch(train) [25][3220/3757] lr: 1.0000e-02 eta: 2 days, 4:02:55 time: 0.5900 data_time: 0.1257 memory: 17350 grad_norm: 5.4853 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0513 loss: 2.0513 2022/07/22 18:49:32 - mmengine - INFO - Epoch(train) [25][3240/3757] lr: 1.0000e-02 eta: 2 days, 4:02:44 time: 0.7009 data_time: 0.1594 memory: 17350 grad_norm: 5.4114 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8421 loss: 1.8421 2022/07/22 18:49:45 - mmengine - INFO - Epoch(train) [25][3260/3757] lr: 1.0000e-02 eta: 2 days, 4:02:31 time: 0.6548 data_time: 0.1893 memory: 17350 grad_norm: 5.5538 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7183 loss: 1.7183 2022/07/22 18:50:00 - mmengine - INFO - Epoch(train) [25][3280/3757] lr: 1.0000e-02 eta: 2 days, 4:02:23 time: 0.7570 data_time: 0.3298 memory: 17350 grad_norm: 5.3493 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6410 loss: 1.6410 2022/07/22 18:50:12 - mmengine - INFO - Epoch(train) [25][3300/3757] lr: 1.0000e-02 eta: 2 days, 4:02:06 time: 0.5998 data_time: 0.2294 memory: 17350 grad_norm: 5.4124 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0648 loss: 2.0648 2022/07/22 18:50:27 - mmengine - INFO - Epoch(train) [25][3320/3757] lr: 1.0000e-02 eta: 2 days, 4:01:57 time: 0.7404 data_time: 0.3287 memory: 17350 grad_norm: 5.4427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8595 loss: 1.8595 2022/07/22 18:50:39 - mmengine - INFO - Epoch(train) [25][3340/3757] lr: 1.0000e-02 eta: 2 days, 4:01:40 time: 0.5958 data_time: 0.2449 memory: 17350 grad_norm: 5.3408 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7953 loss: 1.7953 2022/07/22 18:50:53 - mmengine - INFO - Epoch(train) [25][3360/3757] lr: 1.0000e-02 eta: 2 days, 4:01:30 time: 0.7228 data_time: 0.3675 memory: 17350 grad_norm: 5.2793 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5754 loss: 1.5754 2022/07/22 18:51:06 - mmengine - INFO - Epoch(train) [25][3380/3757] lr: 1.0000e-02 eta: 2 days, 4:01:14 time: 0.6248 data_time: 0.2164 memory: 17350 grad_norm: 5.4534 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9482 loss: 1.9482 2022/07/22 18:51:19 - mmengine - INFO - Epoch(train) [25][3400/3757] lr: 1.0000e-02 eta: 2 days, 4:01:02 time: 0.6820 data_time: 0.2788 memory: 17350 grad_norm: 5.4805 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8441 loss: 1.8441 2022/07/22 18:51:32 - mmengine - INFO - Epoch(train) [25][3420/3757] lr: 1.0000e-02 eta: 2 days, 4:00:46 time: 0.6090 data_time: 0.0924 memory: 17350 grad_norm: 5.4789 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1976 loss: 2.1976 2022/07/22 18:51:46 - mmengine - INFO - Epoch(train) [25][3440/3757] lr: 1.0000e-02 eta: 2 days, 4:00:36 time: 0.7278 data_time: 0.3069 memory: 17350 grad_norm: 5.4438 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9867 loss: 1.9867 2022/07/22 18:51:58 - mmengine - INFO - Epoch(train) [25][3460/3757] lr: 1.0000e-02 eta: 2 days, 4:00:19 time: 0.6019 data_time: 0.2513 memory: 17350 grad_norm: 5.6339 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5596 loss: 1.5596 2022/07/22 18:52:13 - mmengine - INFO - Epoch(train) [25][3480/3757] lr: 1.0000e-02 eta: 2 days, 4:00:11 time: 0.7496 data_time: 0.4167 memory: 17350 grad_norm: 5.5269 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1595 loss: 2.1595 2022/07/22 18:52:25 - mmengine - INFO - Epoch(train) [25][3500/3757] lr: 1.0000e-02 eta: 2 days, 3:59:53 time: 0.5853 data_time: 0.2534 memory: 17350 grad_norm: 5.3914 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9023 loss: 1.9023 2022/07/22 18:52:39 - mmengine - INFO - Epoch(train) [25][3520/3757] lr: 1.0000e-02 eta: 2 days, 3:59:42 time: 0.7027 data_time: 0.3321 memory: 17350 grad_norm: 5.4386 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2252 loss: 2.2252 2022/07/22 18:52:52 - mmengine - INFO - Epoch(train) [25][3540/3757] lr: 1.0000e-02 eta: 2 days, 3:59:28 time: 0.6420 data_time: 0.1871 memory: 17350 grad_norm: 5.2910 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9504 loss: 1.9504 2022/07/22 18:53:06 - mmengine - INFO - Epoch(train) [25][3560/3757] lr: 1.0000e-02 eta: 2 days, 3:59:18 time: 0.7185 data_time: 0.2628 memory: 17350 grad_norm: 5.4318 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0476 loss: 2.0476 2022/07/22 18:53:19 - mmengine - INFO - Epoch(train) [25][3580/3757] lr: 1.0000e-02 eta: 2 days, 3:59:02 time: 0.6187 data_time: 0.1535 memory: 17350 grad_norm: 5.5710 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9242 loss: 1.9242 2022/07/22 18:53:33 - mmengine - INFO - Epoch(train) [25][3600/3757] lr: 1.0000e-02 eta: 2 days, 3:58:51 time: 0.7086 data_time: 0.1311 memory: 17350 grad_norm: 5.4751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6180 loss: 1.6180 2022/07/22 18:53:46 - mmengine - INFO - Epoch(train) [25][3620/3757] lr: 1.0000e-02 eta: 2 days, 3:58:38 time: 0.6594 data_time: 0.0241 memory: 17350 grad_norm: 5.4651 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7779 loss: 1.7779 2022/07/22 18:53:59 - mmengine - INFO - Epoch(train) [25][3640/3757] lr: 1.0000e-02 eta: 2 days, 3:58:23 time: 0.6426 data_time: 0.0595 memory: 17350 grad_norm: 5.4527 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0376 loss: 2.0376 2022/07/22 18:54:13 - mmengine - INFO - Epoch(train) [25][3660/3757] lr: 1.0000e-02 eta: 2 days, 3:58:11 time: 0.6819 data_time: 0.0222 memory: 17350 grad_norm: 5.4599 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8743 loss: 1.8743 2022/07/22 18:54:26 - mmengine - INFO - Epoch(train) [25][3680/3757] lr: 1.0000e-02 eta: 2 days, 3:57:58 time: 0.6691 data_time: 0.0231 memory: 17350 grad_norm: 5.4262 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9115 loss: 1.9115 2022/07/22 18:54:38 - mmengine - INFO - Epoch(train) [25][3700/3757] lr: 1.0000e-02 eta: 2 days, 3:57:41 time: 0.6066 data_time: 0.0213 memory: 17350 grad_norm: 5.4474 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6645 loss: 1.6645 2022/07/22 18:54:52 - mmengine - INFO - Epoch(train) [25][3720/3757] lr: 1.0000e-02 eta: 2 days, 3:57:30 time: 0.7055 data_time: 0.0907 memory: 17350 grad_norm: 5.4947 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7928 loss: 1.7928 2022/07/22 18:55:06 - mmengine - INFO - Epoch(train) [25][3740/3757] lr: 1.0000e-02 eta: 2 days, 3:57:17 time: 0.6682 data_time: 0.1063 memory: 17350 grad_norm: 5.5171 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2700 loss: 2.2700 2022/07/22 18:55:13 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 18:55:13 - mmengine - INFO - Epoch(train) [25][3757/3757] lr: 1.0000e-02 eta: 2 days, 3:57:17 time: 0.4363 data_time: 0.0272 memory: 17350 grad_norm: 5.4058 top1_acc: 0.2857 top5_acc: 0.2857 loss_cls: 2.2692 loss: 2.2692 2022/07/22 18:55:13 - mmengine - INFO - Saving checkpoint at 25 epochs 2022/07/22 18:55:35 - mmengine - INFO - Epoch(val) [25][20/310] eta: 0:04:00 time: 0.8296 data_time: 0.7161 memory: 3406 2022/07/22 18:55:47 - mmengine - INFO - Epoch(val) [25][40/310] eta: 0:02:34 time: 0.5729 data_time: 0.4600 memory: 3406 2022/07/22 18:56:02 - mmengine - INFO - Epoch(val) [25][60/310] eta: 0:03:12 time: 0.7705 data_time: 0.6555 memory: 3406 2022/07/22 18:56:14 - mmengine - INFO - Epoch(val) [25][80/310] eta: 0:02:16 time: 0.5941 data_time: 0.4817 memory: 3406 2022/07/22 18:56:29 - mmengine - INFO - Epoch(val) [25][100/310] eta: 0:02:39 time: 0.7616 data_time: 0.6475 memory: 3406 2022/07/22 18:56:40 - mmengine - INFO - Epoch(val) [25][120/310] eta: 0:01:47 time: 0.5639 data_time: 0.4497 memory: 3406 2022/07/22 18:56:56 - mmengine - INFO - Epoch(val) [25][140/310] eta: 0:02:08 time: 0.7539 data_time: 0.6397 memory: 3406 2022/07/22 18:57:06 - mmengine - INFO - Epoch(val) [25][160/310] eta: 0:01:20 time: 0.5399 data_time: 0.4280 memory: 3406 2022/07/22 18:57:22 - mmengine - INFO - Epoch(val) [25][180/310] eta: 0:01:40 time: 0.7759 data_time: 0.6605 memory: 3406 2022/07/22 18:57:33 - mmengine - INFO - Epoch(val) [25][200/310] eta: 0:01:02 time: 0.5649 data_time: 0.4520 memory: 3406 2022/07/22 18:57:49 - mmengine - INFO - Epoch(val) [25][220/310] eta: 0:01:12 time: 0.8061 data_time: 0.6934 memory: 3406 2022/07/22 18:58:00 - mmengine - INFO - Epoch(val) [25][240/310] eta: 0:00:37 time: 0.5339 data_time: 0.4211 memory: 3406 2022/07/22 18:58:16 - mmengine - INFO - Epoch(val) [25][260/310] eta: 0:00:39 time: 0.7834 data_time: 0.6707 memory: 3406 2022/07/22 18:58:27 - mmengine - INFO - Epoch(val) [25][280/310] eta: 0:00:16 time: 0.5658 data_time: 0.4521 memory: 3406 2022/07/22 18:58:38 - mmengine - INFO - Epoch(val) [25][300/310] eta: 0:00:05 time: 0.5350 data_time: 0.4190 memory: 3406 2022/07/22 18:58:41 - mmengine - INFO - Epoch(val) [25][310/310] acc/top1: 0.5740 acc/top5: 0.8127 acc/mean1: 0.5739 2022/07/22 18:59:00 - mmengine - INFO - Epoch(train) [26][20/3757] lr: 1.0000e-02 eta: 2 days, 3:56:34 time: 0.9121 data_time: 0.4531 memory: 17350 grad_norm: 5.4216 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9230 loss: 1.9230 2022/07/22 18:59:12 - mmengine - INFO - Epoch(train) [26][40/3757] lr: 1.0000e-02 eta: 2 days, 3:56:16 time: 0.5800 data_time: 0.2514 memory: 17350 grad_norm: 5.4434 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9523 loss: 1.9523 2022/07/22 18:59:26 - mmengine - INFO - Epoch(train) [26][60/3757] lr: 1.0000e-02 eta: 2 days, 3:56:07 time: 0.7368 data_time: 0.3726 memory: 17350 grad_norm: 5.3385 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6949 loss: 1.6949 2022/07/22 18:59:37 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 18:59:39 - mmengine - INFO - Epoch(train) [26][80/3757] lr: 1.0000e-02 eta: 2 days, 3:55:50 time: 0.6094 data_time: 0.1798 memory: 17350 grad_norm: 5.5574 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0164 loss: 2.0164 2022/07/22 18:59:53 - mmengine - INFO - Epoch(train) [26][100/3757] lr: 1.0000e-02 eta: 2 days, 3:55:40 time: 0.7217 data_time: 0.2466 memory: 17350 grad_norm: 5.3462 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8125 loss: 1.8125 2022/07/22 19:00:06 - mmengine - INFO - Epoch(train) [26][120/3757] lr: 1.0000e-02 eta: 2 days, 3:55:26 time: 0.6453 data_time: 0.1866 memory: 17350 grad_norm: 5.3252 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6758 loss: 1.6758 2022/07/22 19:00:21 - mmengine - INFO - Epoch(train) [26][140/3757] lr: 1.0000e-02 eta: 2 days, 3:55:18 time: 0.7475 data_time: 0.4163 memory: 17350 grad_norm: 5.5044 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0975 loss: 2.0975 2022/07/22 19:00:33 - mmengine - INFO - Epoch(train) [26][160/3757] lr: 1.0000e-02 eta: 2 days, 3:55:01 time: 0.6093 data_time: 0.2753 memory: 17350 grad_norm: 5.5741 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5989 loss: 1.5989 2022/07/22 19:00:48 - mmengine - INFO - Epoch(train) [26][180/3757] lr: 1.0000e-02 eta: 2 days, 3:54:53 time: 0.7433 data_time: 0.4017 memory: 17350 grad_norm: 5.3938 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6043 loss: 1.6043 2022/07/22 19:01:00 - mmengine - INFO - Epoch(train) [26][200/3757] lr: 1.0000e-02 eta: 2 days, 3:54:36 time: 0.6044 data_time: 0.2738 memory: 17350 grad_norm: 5.4610 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0194 loss: 2.0194 2022/07/22 19:01:14 - mmengine - INFO - Epoch(train) [26][220/3757] lr: 1.0000e-02 eta: 2 days, 3:54:26 time: 0.7113 data_time: 0.3717 memory: 17350 grad_norm: 5.4295 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5831 loss: 1.5831 2022/07/22 19:01:26 - mmengine - INFO - Epoch(train) [26][240/3757] lr: 1.0000e-02 eta: 2 days, 3:54:09 time: 0.6103 data_time: 0.2774 memory: 17350 grad_norm: 5.3091 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0119 loss: 2.0119 2022/07/22 19:01:41 - mmengine - INFO - Epoch(train) [26][260/3757] lr: 1.0000e-02 eta: 2 days, 3:54:00 time: 0.7417 data_time: 0.4186 memory: 17350 grad_norm: 5.2472 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7848 loss: 1.7848 2022/07/22 19:01:54 - mmengine - INFO - Epoch(train) [26][280/3757] lr: 1.0000e-02 eta: 2 days, 3:53:45 time: 0.6348 data_time: 0.3058 memory: 17350 grad_norm: 5.4275 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7106 loss: 1.7106 2022/07/22 19:02:08 - mmengine - INFO - Epoch(train) [26][300/3757] lr: 1.0000e-02 eta: 2 days, 3:53:36 time: 0.7251 data_time: 0.3971 memory: 17350 grad_norm: 5.3829 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9477 loss: 1.9477 2022/07/22 19:02:21 - mmengine - INFO - Epoch(train) [26][320/3757] lr: 1.0000e-02 eta: 2 days, 3:53:20 time: 0.6172 data_time: 0.2872 memory: 17350 grad_norm: 5.5565 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6306 loss: 1.6306 2022/07/22 19:02:35 - mmengine - INFO - Epoch(train) [26][340/3757] lr: 1.0000e-02 eta: 2 days, 3:53:09 time: 0.7027 data_time: 0.3705 memory: 17350 grad_norm: 5.6101 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8333 loss: 1.8333 2022/07/22 19:02:46 - mmengine - INFO - Epoch(train) [26][360/3757] lr: 1.0000e-02 eta: 2 days, 3:52:50 time: 0.5771 data_time: 0.2468 memory: 17350 grad_norm: 5.4140 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9424 loss: 1.9424 2022/07/22 19:03:01 - mmengine - INFO - Epoch(train) [26][380/3757] lr: 1.0000e-02 eta: 2 days, 3:52:42 time: 0.7464 data_time: 0.4180 memory: 17350 grad_norm: 5.6419 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9145 loss: 1.9145 2022/07/22 19:03:13 - mmengine - INFO - Epoch(train) [26][400/3757] lr: 1.0000e-02 eta: 2 days, 3:52:25 time: 0.6002 data_time: 0.2673 memory: 17350 grad_norm: 5.5425 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8615 loss: 1.8615 2022/07/22 19:03:28 - mmengine - INFO - Epoch(train) [26][420/3757] lr: 1.0000e-02 eta: 2 days, 3:52:14 time: 0.7074 data_time: 0.3768 memory: 17350 grad_norm: 5.5259 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8462 loss: 1.8462 2022/07/22 19:03:40 - mmengine - INFO - Epoch(train) [26][440/3757] lr: 1.0000e-02 eta: 2 days, 3:51:58 time: 0.6044 data_time: 0.2706 memory: 17350 grad_norm: 5.5491 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1253 loss: 2.1253 2022/07/22 19:03:55 - mmengine - INFO - Epoch(train) [26][460/3757] lr: 1.0000e-02 eta: 2 days, 3:51:51 time: 0.7691 data_time: 0.4359 memory: 17350 grad_norm: 5.4062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8343 loss: 1.8343 2022/07/22 19:04:08 - mmengine - INFO - Epoch(train) [26][480/3757] lr: 1.0000e-02 eta: 2 days, 3:51:36 time: 0.6398 data_time: 0.3078 memory: 17350 grad_norm: 5.3070 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9616 loss: 1.9616 2022/07/22 19:04:22 - mmengine - INFO - Epoch(train) [26][500/3757] lr: 1.0000e-02 eta: 2 days, 3:51:24 time: 0.6851 data_time: 0.3536 memory: 17350 grad_norm: 5.2864 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9133 loss: 1.9133 2022/07/22 19:04:34 - mmengine - INFO - Epoch(train) [26][520/3757] lr: 1.0000e-02 eta: 2 days, 3:51:09 time: 0.6419 data_time: 0.2928 memory: 17350 grad_norm: 5.3591 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8306 loss: 1.8306 2022/07/22 19:04:48 - mmengine - INFO - Epoch(train) [26][540/3757] lr: 1.0000e-02 eta: 2 days, 3:50:57 time: 0.6770 data_time: 0.3300 memory: 17350 grad_norm: 5.6890 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9742 loss: 1.9742 2022/07/22 19:05:00 - mmengine - INFO - Epoch(train) [26][560/3757] lr: 1.0000e-02 eta: 2 days, 3:50:39 time: 0.5809 data_time: 0.2462 memory: 17350 grad_norm: 5.5390 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7183 loss: 1.7183 2022/07/22 19:05:15 - mmengine - INFO - Epoch(train) [26][580/3757] lr: 1.0000e-02 eta: 2 days, 3:50:31 time: 0.7589 data_time: 0.4227 memory: 17350 grad_norm: 5.5603 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0043 loss: 2.0043 2022/07/22 19:05:26 - mmengine - INFO - Epoch(train) [26][600/3757] lr: 1.0000e-02 eta: 2 days, 3:50:13 time: 0.5863 data_time: 0.2491 memory: 17350 grad_norm: 5.3856 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8665 loss: 1.8665 2022/07/22 19:05:41 - mmengine - INFO - Epoch(train) [26][620/3757] lr: 1.0000e-02 eta: 2 days, 3:50:03 time: 0.7132 data_time: 0.3833 memory: 17350 grad_norm: 5.5453 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9507 loss: 1.9507 2022/07/22 19:05:53 - mmengine - INFO - Epoch(train) [26][640/3757] lr: 1.0000e-02 eta: 2 days, 3:49:46 time: 0.6088 data_time: 0.2783 memory: 17350 grad_norm: 5.4728 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9006 loss: 1.9006 2022/07/22 19:06:07 - mmengine - INFO - Epoch(train) [26][660/3757] lr: 1.0000e-02 eta: 2 days, 3:49:36 time: 0.7070 data_time: 0.3824 memory: 17350 grad_norm: 5.3874 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9036 loss: 1.9036 2022/07/22 19:06:19 - mmengine - INFO - Epoch(train) [26][680/3757] lr: 1.0000e-02 eta: 2 days, 3:49:18 time: 0.5895 data_time: 0.2618 memory: 17350 grad_norm: 5.4581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0738 loss: 2.0738 2022/07/22 19:06:33 - mmengine - INFO - Epoch(train) [26][700/3757] lr: 1.0000e-02 eta: 2 days, 3:49:07 time: 0.7046 data_time: 0.3734 memory: 17350 grad_norm: 5.5189 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1396 loss: 2.1396 2022/07/22 19:06:45 - mmengine - INFO - Epoch(train) [26][720/3757] lr: 1.0000e-02 eta: 2 days, 3:48:50 time: 0.6042 data_time: 0.2806 memory: 17350 grad_norm: 5.2947 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9597 loss: 1.9597 2022/07/22 19:07:00 - mmengine - INFO - Epoch(train) [26][740/3757] lr: 1.0000e-02 eta: 2 days, 3:48:42 time: 0.7541 data_time: 0.4194 memory: 17350 grad_norm: 5.4866 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8550 loss: 1.8550 2022/07/22 19:07:12 - mmengine - INFO - Epoch(train) [26][760/3757] lr: 1.0000e-02 eta: 2 days, 3:48:24 time: 0.5825 data_time: 0.2522 memory: 17350 grad_norm: 5.4545 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0761 loss: 2.0761 2022/07/22 19:07:26 - mmengine - INFO - Epoch(train) [26][780/3757] lr: 1.0000e-02 eta: 2 days, 3:48:14 time: 0.7223 data_time: 0.3839 memory: 17350 grad_norm: 5.3661 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9419 loss: 1.9419 2022/07/22 19:07:38 - mmengine - INFO - Epoch(train) [26][800/3757] lr: 1.0000e-02 eta: 2 days, 3:47:57 time: 0.5910 data_time: 0.2456 memory: 17350 grad_norm: 5.5273 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9286 loss: 1.9286 2022/07/22 19:07:53 - mmengine - INFO - Epoch(train) [26][820/3757] lr: 1.0000e-02 eta: 2 days, 3:47:47 time: 0.7229 data_time: 0.3811 memory: 17350 grad_norm: 5.4359 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9363 loss: 1.9363 2022/07/22 19:08:05 - mmengine - INFO - Epoch(train) [26][840/3757] lr: 1.0000e-02 eta: 2 days, 3:47:30 time: 0.5995 data_time: 0.2442 memory: 17350 grad_norm: 5.4278 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8751 loss: 1.8751 2022/07/22 19:08:19 - mmengine - INFO - Epoch(train) [26][860/3757] lr: 1.0000e-02 eta: 2 days, 3:47:20 time: 0.7247 data_time: 0.3152 memory: 17350 grad_norm: 5.4880 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7782 loss: 1.7782 2022/07/22 19:08:32 - mmengine - INFO - Epoch(train) [26][880/3757] lr: 1.0000e-02 eta: 2 days, 3:47:06 time: 0.6497 data_time: 0.3088 memory: 17350 grad_norm: 5.4252 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7982 loss: 1.7982 2022/07/22 19:08:46 - mmengine - INFO - Epoch(train) [26][900/3757] lr: 1.0000e-02 eta: 2 days, 3:46:54 time: 0.6741 data_time: 0.3276 memory: 17350 grad_norm: 5.4603 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7591 loss: 1.7591 2022/07/22 19:08:58 - mmengine - INFO - Epoch(train) [26][920/3757] lr: 1.0000e-02 eta: 2 days, 3:46:39 time: 0.6353 data_time: 0.1242 memory: 17350 grad_norm: 5.5052 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8463 loss: 1.8463 2022/07/22 19:09:12 - mmengine - INFO - Epoch(train) [26][940/3757] lr: 1.0000e-02 eta: 2 days, 3:46:28 time: 0.7106 data_time: 0.3608 memory: 17350 grad_norm: 5.5813 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1423 loss: 2.1423 2022/07/22 19:09:25 - mmengine - INFO - Epoch(train) [26][960/3757] lr: 1.0000e-02 eta: 2 days, 3:46:12 time: 0.6134 data_time: 0.2591 memory: 17350 grad_norm: 5.6465 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0484 loss: 2.0484 2022/07/22 19:09:39 - mmengine - INFO - Epoch(train) [26][980/3757] lr: 1.0000e-02 eta: 2 days, 3:46:00 time: 0.6906 data_time: 0.2609 memory: 17350 grad_norm: 5.6018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0593 loss: 2.0593 2022/07/22 19:09:52 - mmengine - INFO - Epoch(train) [26][1000/3757] lr: 1.0000e-02 eta: 2 days, 3:45:48 time: 0.6777 data_time: 0.1586 memory: 17350 grad_norm: 5.5484 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8577 loss: 1.8577 2022/07/22 19:10:06 - mmengine - INFO - Epoch(train) [26][1020/3757] lr: 1.0000e-02 eta: 2 days, 3:45:35 time: 0.6744 data_time: 0.2155 memory: 17350 grad_norm: 5.4179 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8737 loss: 1.8737 2022/07/22 19:10:19 - mmengine - INFO - Epoch(train) [26][1040/3757] lr: 1.0000e-02 eta: 2 days, 3:45:22 time: 0.6609 data_time: 0.2236 memory: 17350 grad_norm: 5.4035 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0384 loss: 2.0384 2022/07/22 19:10:33 - mmengine - INFO - Epoch(train) [26][1060/3757] lr: 1.0000e-02 eta: 2 days, 3:45:10 time: 0.6968 data_time: 0.3194 memory: 17350 grad_norm: 5.3307 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0135 loss: 2.0135 2022/07/22 19:10:43 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 19:10:45 - mmengine - INFO - Epoch(train) [26][1080/3757] lr: 1.0000e-02 eta: 2 days, 3:44:54 time: 0.6094 data_time: 0.2363 memory: 17350 grad_norm: 5.6893 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9990 loss: 1.9990 2022/07/22 19:10:59 - mmengine - INFO - Epoch(train) [26][1100/3757] lr: 1.0000e-02 eta: 2 days, 3:44:44 time: 0.7143 data_time: 0.3808 memory: 17350 grad_norm: 5.4566 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7428 loss: 1.7428 2022/07/22 19:11:12 - mmengine - INFO - Epoch(train) [26][1120/3757] lr: 1.0000e-02 eta: 2 days, 3:44:29 time: 0.6363 data_time: 0.2420 memory: 17350 grad_norm: 5.4148 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7339 loss: 1.7339 2022/07/22 19:11:26 - mmengine - INFO - Epoch(train) [26][1140/3757] lr: 1.0000e-02 eta: 2 days, 3:44:16 time: 0.6739 data_time: 0.2163 memory: 17350 grad_norm: 5.2520 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8864 loss: 1.8864 2022/07/22 19:11:38 - mmengine - INFO - Epoch(train) [26][1160/3757] lr: 1.0000e-02 eta: 2 days, 3:44:01 time: 0.6310 data_time: 0.1269 memory: 17350 grad_norm: 5.6145 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2318 loss: 2.2318 2022/07/22 19:11:51 - mmengine - INFO - Epoch(train) [26][1180/3757] lr: 1.0000e-02 eta: 2 days, 3:43:47 time: 0.6556 data_time: 0.1554 memory: 17350 grad_norm: 5.2535 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8802 loss: 1.8802 2022/07/22 19:12:05 - mmengine - INFO - Epoch(train) [26][1200/3757] lr: 1.0000e-02 eta: 2 days, 3:43:35 time: 0.6847 data_time: 0.1145 memory: 17350 grad_norm: 5.2891 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8999 loss: 1.8999 2022/07/22 19:12:17 - mmengine - INFO - Epoch(train) [26][1220/3757] lr: 1.0000e-02 eta: 2 days, 3:43:19 time: 0.6248 data_time: 0.0890 memory: 17350 grad_norm: 5.5771 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9706 loss: 1.9706 2022/07/22 19:12:32 - mmengine - INFO - Epoch(train) [26][1240/3757] lr: 1.0000e-02 eta: 2 days, 3:43:11 time: 0.7412 data_time: 0.0369 memory: 17350 grad_norm: 5.5680 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8044 loss: 1.8044 2022/07/22 19:12:44 - mmengine - INFO - Epoch(train) [26][1260/3757] lr: 1.0000e-02 eta: 2 days, 3:42:54 time: 0.6059 data_time: 0.0427 memory: 17350 grad_norm: 5.4012 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7850 loss: 1.7850 2022/07/22 19:12:58 - mmengine - INFO - Epoch(train) [26][1280/3757] lr: 1.0000e-02 eta: 2 days, 3:42:43 time: 0.7030 data_time: 0.2800 memory: 17350 grad_norm: 5.4497 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9604 loss: 1.9604 2022/07/22 19:13:12 - mmengine - INFO - Epoch(train) [26][1300/3757] lr: 1.0000e-02 eta: 2 days, 3:42:30 time: 0.6686 data_time: 0.3287 memory: 17350 grad_norm: 5.5186 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0444 loss: 2.0444 2022/07/22 19:13:25 - mmengine - INFO - Epoch(train) [26][1320/3757] lr: 1.0000e-02 eta: 2 days, 3:42:15 time: 0.6338 data_time: 0.2145 memory: 17350 grad_norm: 5.3681 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0450 loss: 2.0450 2022/07/22 19:13:38 - mmengine - INFO - Epoch(train) [26][1340/3757] lr: 1.0000e-02 eta: 2 days, 3:42:04 time: 0.6927 data_time: 0.3395 memory: 17350 grad_norm: 5.3314 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7032 loss: 1.7032 2022/07/22 19:13:50 - mmengine - INFO - Epoch(train) [26][1360/3757] lr: 1.0000e-02 eta: 2 days, 3:41:45 time: 0.5709 data_time: 0.2267 memory: 17350 grad_norm: 5.3320 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9309 loss: 1.9309 2022/07/22 19:14:05 - mmengine - INFO - Epoch(train) [26][1380/3757] lr: 1.0000e-02 eta: 2 days, 3:41:36 time: 0.7384 data_time: 0.4036 memory: 17350 grad_norm: 5.5225 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0739 loss: 2.0739 2022/07/22 19:14:17 - mmengine - INFO - Epoch(train) [26][1400/3757] lr: 1.0000e-02 eta: 2 days, 3:41:19 time: 0.6053 data_time: 0.2642 memory: 17350 grad_norm: 5.3934 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7804 loss: 1.7804 2022/07/22 19:14:31 - mmengine - INFO - Epoch(train) [26][1420/3757] lr: 1.0000e-02 eta: 2 days, 3:41:08 time: 0.6982 data_time: 0.3133 memory: 17350 grad_norm: 5.5162 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6001 loss: 1.6001 2022/07/22 19:14:43 - mmengine - INFO - Epoch(train) [26][1440/3757] lr: 1.0000e-02 eta: 2 days, 3:40:53 time: 0.6328 data_time: 0.1561 memory: 17350 grad_norm: 5.5817 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7065 loss: 1.7065 2022/07/22 19:14:57 - mmengine - INFO - Epoch(train) [26][1460/3757] lr: 1.0000e-02 eta: 2 days, 3:40:39 time: 0.6618 data_time: 0.2256 memory: 17350 grad_norm: 5.4848 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9800 loss: 1.9800 2022/07/22 19:15:10 - mmengine - INFO - Epoch(train) [26][1480/3757] lr: 1.0000e-02 eta: 2 days, 3:40:27 time: 0.6839 data_time: 0.1428 memory: 17350 grad_norm: 5.4440 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7514 loss: 1.7514 2022/07/22 19:15:24 - mmengine - INFO - Epoch(train) [26][1500/3757] lr: 1.0000e-02 eta: 2 days, 3:40:15 time: 0.6765 data_time: 0.1845 memory: 17350 grad_norm: 5.6271 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0152 loss: 2.0152 2022/07/22 19:15:37 - mmengine - INFO - Epoch(train) [26][1520/3757] lr: 1.0000e-02 eta: 2 days, 3:40:01 time: 0.6562 data_time: 0.1738 memory: 17350 grad_norm: 5.6980 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7259 loss: 1.7259 2022/07/22 19:15:50 - mmengine - INFO - Epoch(train) [26][1540/3757] lr: 1.0000e-02 eta: 2 days, 3:39:47 time: 0.6502 data_time: 0.2028 memory: 17350 grad_norm: 5.5228 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9943 loss: 1.9943 2022/07/22 19:16:04 - mmengine - INFO - Epoch(train) [26][1560/3757] lr: 1.0000e-02 eta: 2 days, 3:39:35 time: 0.6861 data_time: 0.1744 memory: 17350 grad_norm: 5.4490 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9549 loss: 1.9549 2022/07/22 19:16:17 - mmengine - INFO - Epoch(train) [26][1580/3757] lr: 1.0000e-02 eta: 2 days, 3:39:22 time: 0.6662 data_time: 0.1043 memory: 17350 grad_norm: 5.5459 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0354 loss: 2.0354 2022/07/22 19:16:30 - mmengine - INFO - Epoch(train) [26][1600/3757] lr: 1.0000e-02 eta: 2 days, 3:39:08 time: 0.6528 data_time: 0.0442 memory: 17350 grad_norm: 5.5752 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0558 loss: 2.0558 2022/07/22 19:16:44 - mmengine - INFO - Epoch(train) [26][1620/3757] lr: 1.0000e-02 eta: 2 days, 3:38:57 time: 0.7044 data_time: 0.0405 memory: 17350 grad_norm: 5.5912 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1496 loss: 2.1496 2022/07/22 19:16:57 - mmengine - INFO - Epoch(train) [26][1640/3757] lr: 1.0000e-02 eta: 2 days, 3:38:43 time: 0.6526 data_time: 0.0238 memory: 17350 grad_norm: 5.5329 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8831 loss: 1.8831 2022/07/22 19:17:10 - mmengine - INFO - Epoch(train) [26][1660/3757] lr: 1.0000e-02 eta: 2 days, 3:38:29 time: 0.6518 data_time: 0.0239 memory: 17350 grad_norm: 5.2994 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9884 loss: 1.9884 2022/07/22 19:17:23 - mmengine - INFO - Epoch(train) [26][1680/3757] lr: 1.0000e-02 eta: 2 days, 3:38:13 time: 0.6136 data_time: 0.0471 memory: 17350 grad_norm: 5.1972 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5966 loss: 1.5966 2022/07/22 19:17:37 - mmengine - INFO - Epoch(train) [26][1700/3757] lr: 1.0000e-02 eta: 2 days, 3:38:04 time: 0.7291 data_time: 0.0324 memory: 17350 grad_norm: 5.3266 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0034 loss: 2.0034 2022/07/22 19:17:49 - mmengine - INFO - Epoch(train) [26][1720/3757] lr: 1.0000e-02 eta: 2 days, 3:37:47 time: 0.5993 data_time: 0.0208 memory: 17350 grad_norm: 5.6495 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1310 loss: 2.1310 2022/07/22 19:18:03 - mmengine - INFO - Epoch(train) [26][1740/3757] lr: 1.0000e-02 eta: 2 days, 3:37:36 time: 0.7106 data_time: 0.0236 memory: 17350 grad_norm: 5.3506 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8874 loss: 1.8874 2022/07/22 19:18:16 - mmengine - INFO - Epoch(train) [26][1760/3757] lr: 1.0000e-02 eta: 2 days, 3:37:21 time: 0.6405 data_time: 0.0238 memory: 17350 grad_norm: 5.5235 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1855 loss: 2.1855 2022/07/22 19:18:29 - mmengine - INFO - Epoch(train) [26][1780/3757] lr: 1.0000e-02 eta: 2 days, 3:37:08 time: 0.6523 data_time: 0.0235 memory: 17350 grad_norm: 5.4100 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8865 loss: 1.8865 2022/07/22 19:18:42 - mmengine - INFO - Epoch(train) [26][1800/3757] lr: 1.0000e-02 eta: 2 days, 3:36:53 time: 0.6377 data_time: 0.0229 memory: 17350 grad_norm: 5.4094 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9828 loss: 1.9828 2022/07/22 19:18:57 - mmengine - INFO - Epoch(train) [26][1820/3757] lr: 1.0000e-02 eta: 2 days, 3:36:44 time: 0.7336 data_time: 0.0239 memory: 17350 grad_norm: 5.3869 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1237 loss: 2.1237 2022/07/22 19:19:09 - mmengine - INFO - Epoch(train) [26][1840/3757] lr: 1.0000e-02 eta: 2 days, 3:36:26 time: 0.5984 data_time: 0.0649 memory: 17350 grad_norm: 5.2636 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8830 loss: 1.8830 2022/07/22 19:19:23 - mmengine - INFO - Epoch(train) [26][1860/3757] lr: 1.0000e-02 eta: 2 days, 3:36:16 time: 0.7075 data_time: 0.0719 memory: 17350 grad_norm: 5.3476 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7618 loss: 1.7618 2022/07/22 19:19:36 - mmengine - INFO - Epoch(train) [26][1880/3757] lr: 1.0000e-02 eta: 2 days, 3:36:03 time: 0.6812 data_time: 0.0204 memory: 17350 grad_norm: 5.5637 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9507 loss: 1.9507 2022/07/22 19:19:50 - mmengine - INFO - Epoch(train) [26][1900/3757] lr: 1.0000e-02 eta: 2 days, 3:35:50 time: 0.6567 data_time: 0.0222 memory: 17350 grad_norm: 5.3382 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8857 loss: 1.8857 2022/07/22 19:20:02 - mmengine - INFO - Epoch(train) [26][1920/3757] lr: 1.0000e-02 eta: 2 days, 3:35:34 time: 0.6204 data_time: 0.0227 memory: 17350 grad_norm: 5.2721 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6744 loss: 1.6744 2022/07/22 19:20:17 - mmengine - INFO - Epoch(train) [26][1940/3757] lr: 1.0000e-02 eta: 2 days, 3:35:26 time: 0.7465 data_time: 0.0251 memory: 17350 grad_norm: 5.5606 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8165 loss: 1.8165 2022/07/22 19:20:29 - mmengine - INFO - Epoch(train) [26][1960/3757] lr: 1.0000e-02 eta: 2 days, 3:35:07 time: 0.5805 data_time: 0.0232 memory: 17350 grad_norm: 5.5343 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6412 loss: 1.6412 2022/07/22 19:20:43 - mmengine - INFO - Epoch(train) [26][1980/3757] lr: 1.0000e-02 eta: 2 days, 3:34:57 time: 0.7158 data_time: 0.0200 memory: 17350 grad_norm: 5.4136 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7675 loss: 1.7675 2022/07/22 19:20:56 - mmengine - INFO - Epoch(train) [26][2000/3757] lr: 1.0000e-02 eta: 2 days, 3:34:44 time: 0.6718 data_time: 0.0244 memory: 17350 grad_norm: 5.4566 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8135 loss: 1.8135 2022/07/22 19:21:09 - mmengine - INFO - Epoch(train) [26][2020/3757] lr: 1.0000e-02 eta: 2 days, 3:34:30 time: 0.6455 data_time: 0.0229 memory: 17350 grad_norm: 5.5033 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9200 loss: 1.9200 2022/07/22 19:21:23 - mmengine - INFO - Epoch(train) [26][2040/3757] lr: 1.0000e-02 eta: 2 days, 3:34:18 time: 0.6885 data_time: 0.0232 memory: 17350 grad_norm: 5.2852 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0015 loss: 2.0015 2022/07/22 19:21:36 - mmengine - INFO - Epoch(train) [26][2060/3757] lr: 1.0000e-02 eta: 2 days, 3:34:04 time: 0.6448 data_time: 0.0228 memory: 17350 grad_norm: 5.3896 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1084 loss: 2.1084 2022/07/22 19:21:46 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 19:21:50 - mmengine - INFO - Epoch(train) [26][2080/3757] lr: 1.0000e-02 eta: 2 days, 3:33:52 time: 0.6909 data_time: 0.0231 memory: 17350 grad_norm: 5.2849 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9082 loss: 1.9082 2022/07/22 19:22:03 - mmengine - INFO - Epoch(train) [26][2100/3757] lr: 1.0000e-02 eta: 2 days, 3:33:38 time: 0.6414 data_time: 0.0205 memory: 17350 grad_norm: 5.2293 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8244 loss: 1.8244 2022/07/22 19:22:17 - mmengine - INFO - Epoch(train) [26][2120/3757] lr: 1.0000e-02 eta: 2 days, 3:33:27 time: 0.7103 data_time: 0.0219 memory: 17350 grad_norm: 5.3852 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7782 loss: 1.7782 2022/07/22 19:22:28 - mmengine - INFO - Epoch(train) [26][2140/3757] lr: 1.0000e-02 eta: 2 days, 3:33:09 time: 0.5770 data_time: 0.0232 memory: 17350 grad_norm: 5.4726 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0340 loss: 2.0340 2022/07/22 19:22:42 - mmengine - INFO - Epoch(train) [26][2160/3757] lr: 1.0000e-02 eta: 2 days, 3:32:57 time: 0.6863 data_time: 0.0209 memory: 17350 grad_norm: 5.4521 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6013 loss: 1.6013 2022/07/22 19:22:55 - mmengine - INFO - Epoch(train) [26][2180/3757] lr: 1.0000e-02 eta: 2 days, 3:32:41 time: 0.6280 data_time: 0.0233 memory: 17350 grad_norm: 5.3156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7820 loss: 1.7820 2022/07/22 19:23:09 - mmengine - INFO - Epoch(train) [26][2200/3757] lr: 1.0000e-02 eta: 2 days, 3:32:31 time: 0.7202 data_time: 0.0219 memory: 17350 grad_norm: 5.4689 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7326 loss: 1.7326 2022/07/22 19:23:21 - mmengine - INFO - Epoch(train) [26][2220/3757] lr: 1.0000e-02 eta: 2 days, 3:32:15 time: 0.6146 data_time: 0.0245 memory: 17350 grad_norm: 5.4461 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8185 loss: 1.8185 2022/07/22 19:23:35 - mmengine - INFO - Epoch(train) [26][2240/3757] lr: 1.0000e-02 eta: 2 days, 3:32:03 time: 0.6782 data_time: 0.0256 memory: 17350 grad_norm: 5.3423 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9431 loss: 1.9431 2022/07/22 19:23:48 - mmengine - INFO - Epoch(train) [26][2260/3757] lr: 1.0000e-02 eta: 2 days, 3:31:50 time: 0.6750 data_time: 0.0223 memory: 17350 grad_norm: 5.4718 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0840 loss: 2.0840 2022/07/22 19:24:02 - mmengine - INFO - Epoch(train) [26][2280/3757] lr: 1.0000e-02 eta: 2 days, 3:31:38 time: 0.6746 data_time: 0.0245 memory: 17350 grad_norm: 5.4384 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8466 loss: 1.8466 2022/07/22 19:24:15 - mmengine - INFO - Epoch(train) [26][2300/3757] lr: 1.0000e-02 eta: 2 days, 3:31:25 time: 0.6719 data_time: 0.0217 memory: 17350 grad_norm: 5.6491 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9648 loss: 1.9648 2022/07/22 19:24:29 - mmengine - INFO - Epoch(train) [26][2320/3757] lr: 1.0000e-02 eta: 2 days, 3:31:12 time: 0.6658 data_time: 0.0327 memory: 17350 grad_norm: 5.5284 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0561 loss: 2.0561 2022/07/22 19:24:41 - mmengine - INFO - Epoch(train) [26][2340/3757] lr: 1.0000e-02 eta: 2 days, 3:30:57 time: 0.6388 data_time: 0.0214 memory: 17350 grad_norm: 5.4653 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7641 loss: 1.7641 2022/07/22 19:24:56 - mmengine - INFO - Epoch(train) [26][2360/3757] lr: 1.0000e-02 eta: 2 days, 3:30:47 time: 0.7193 data_time: 0.0268 memory: 17350 grad_norm: 5.4235 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9468 loss: 1.9468 2022/07/22 19:25:09 - mmengine - INFO - Epoch(train) [26][2380/3757] lr: 1.0000e-02 eta: 2 days, 3:30:33 time: 0.6549 data_time: 0.0346 memory: 17350 grad_norm: 5.5573 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1436 loss: 2.1436 2022/07/22 19:25:23 - mmengine - INFO - Epoch(train) [26][2400/3757] lr: 1.0000e-02 eta: 2 days, 3:30:21 time: 0.6796 data_time: 0.0223 memory: 17350 grad_norm: 5.1486 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0433 loss: 2.0433 2022/07/22 19:25:36 - mmengine - INFO - Epoch(train) [26][2420/3757] lr: 1.0000e-02 eta: 2 days, 3:30:07 time: 0.6565 data_time: 0.0219 memory: 17350 grad_norm: 5.4175 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9704 loss: 1.9704 2022/07/22 19:25:48 - mmengine - INFO - Epoch(train) [26][2440/3757] lr: 1.0000e-02 eta: 2 days, 3:29:51 time: 0.6179 data_time: 0.0220 memory: 17350 grad_norm: 5.5639 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7293 loss: 1.7293 2022/07/22 19:26:02 - mmengine - INFO - Epoch(train) [26][2460/3757] lr: 1.0000e-02 eta: 2 days, 3:29:40 time: 0.7011 data_time: 0.0226 memory: 17350 grad_norm: 5.2362 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6079 loss: 1.6079 2022/07/22 19:26:15 - mmengine - INFO - Epoch(train) [26][2480/3757] lr: 1.0000e-02 eta: 2 days, 3:29:27 time: 0.6596 data_time: 0.0261 memory: 17350 grad_norm: 5.3953 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0074 loss: 2.0074 2022/07/22 19:26:29 - mmengine - INFO - Epoch(train) [26][2500/3757] lr: 1.0000e-02 eta: 2 days, 3:29:15 time: 0.6851 data_time: 0.0241 memory: 17350 grad_norm: 5.5942 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2730 loss: 2.2730 2022/07/22 19:26:41 - mmengine - INFO - Epoch(train) [26][2520/3757] lr: 1.0000e-02 eta: 2 days, 3:28:58 time: 0.6034 data_time: 0.0229 memory: 17350 grad_norm: 5.5677 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7917 loss: 1.7917 2022/07/22 19:26:56 - mmengine - INFO - Epoch(train) [26][2540/3757] lr: 1.0000e-02 eta: 2 days, 3:28:48 time: 0.7292 data_time: 0.0249 memory: 17350 grad_norm: 5.5401 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0290 loss: 2.0290 2022/07/22 19:27:08 - mmengine - INFO - Epoch(train) [26][2560/3757] lr: 1.0000e-02 eta: 2 days, 3:28:32 time: 0.6062 data_time: 0.0219 memory: 17350 grad_norm: 5.3078 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9937 loss: 1.9937 2022/07/22 19:27:22 - mmengine - INFO - Epoch(train) [26][2580/3757] lr: 1.0000e-02 eta: 2 days, 3:28:20 time: 0.6998 data_time: 0.0215 memory: 17350 grad_norm: 5.5724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1807 loss: 2.1807 2022/07/22 19:27:34 - mmengine - INFO - Epoch(train) [26][2600/3757] lr: 1.0000e-02 eta: 2 days, 3:28:04 time: 0.6070 data_time: 0.0235 memory: 17350 grad_norm: 5.4709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7664 loss: 1.7664 2022/07/22 19:27:48 - mmengine - INFO - Epoch(train) [26][2620/3757] lr: 1.0000e-02 eta: 2 days, 3:27:54 time: 0.7138 data_time: 0.0215 memory: 17350 grad_norm: 5.1784 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8344 loss: 1.8344 2022/07/22 19:28:00 - mmengine - INFO - Epoch(train) [26][2640/3757] lr: 1.0000e-02 eta: 2 days, 3:27:36 time: 0.5980 data_time: 0.0249 memory: 17350 grad_norm: 5.3139 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2453 loss: 2.2453 2022/07/22 19:28:14 - mmengine - INFO - Epoch(train) [26][2660/3757] lr: 1.0000e-02 eta: 2 days, 3:27:26 time: 0.7060 data_time: 0.0225 memory: 17350 grad_norm: 5.4856 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8805 loss: 1.8805 2022/07/22 19:28:26 - mmengine - INFO - Epoch(train) [26][2680/3757] lr: 1.0000e-02 eta: 2 days, 3:27:07 time: 0.5685 data_time: 0.0244 memory: 17350 grad_norm: 5.6896 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8613 loss: 1.8613 2022/07/22 19:28:40 - mmengine - INFO - Epoch(train) [26][2700/3757] lr: 1.0000e-02 eta: 2 days, 3:26:55 time: 0.6965 data_time: 0.0228 memory: 17350 grad_norm: 5.3081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0857 loss: 2.0857 2022/07/22 19:28:52 - mmengine - INFO - Epoch(train) [26][2720/3757] lr: 1.0000e-02 eta: 2 days, 3:26:41 time: 0.6404 data_time: 0.0223 memory: 17350 grad_norm: 5.4502 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0839 loss: 2.0839 2022/07/22 19:29:07 - mmengine - INFO - Epoch(train) [26][2740/3757] lr: 1.0000e-02 eta: 2 days, 3:26:30 time: 0.7115 data_time: 0.0231 memory: 17350 grad_norm: 5.6973 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9159 loss: 1.9159 2022/07/22 19:29:19 - mmengine - INFO - Epoch(train) [26][2760/3757] lr: 1.0000e-02 eta: 2 days, 3:26:13 time: 0.6010 data_time: 0.0229 memory: 17350 grad_norm: 5.2123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1989 loss: 2.1989 2022/07/22 19:29:33 - mmengine - INFO - Epoch(train) [26][2780/3757] lr: 1.0000e-02 eta: 2 days, 3:26:02 time: 0.7022 data_time: 0.0210 memory: 17350 grad_norm: 5.2778 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8695 loss: 1.8695 2022/07/22 19:29:46 - mmengine - INFO - Epoch(train) [26][2800/3757] lr: 1.0000e-02 eta: 2 days, 3:25:48 time: 0.6428 data_time: 0.0236 memory: 17350 grad_norm: 5.6005 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0400 loss: 2.0400 2022/07/22 19:30:00 - mmengine - INFO - Epoch(train) [26][2820/3757] lr: 1.0000e-02 eta: 2 days, 3:25:36 time: 0.6943 data_time: 0.0200 memory: 17350 grad_norm: 5.3581 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9304 loss: 1.9304 2022/07/22 19:30:13 - mmengine - INFO - Epoch(train) [26][2840/3757] lr: 1.0000e-02 eta: 2 days, 3:25:25 time: 0.6894 data_time: 0.0215 memory: 17350 grad_norm: 5.3366 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7244 loss: 1.7244 2022/07/22 19:30:27 - mmengine - INFO - Epoch(train) [26][2860/3757] lr: 1.0000e-02 eta: 2 days, 3:25:13 time: 0.6922 data_time: 0.0231 memory: 17350 grad_norm: 5.6885 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8980 loss: 1.8980 2022/07/22 19:30:39 - mmengine - INFO - Epoch(train) [26][2880/3757] lr: 1.0000e-02 eta: 2 days, 3:24:56 time: 0.6067 data_time: 0.0217 memory: 17350 grad_norm: 5.4056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9238 loss: 1.9238 2022/07/22 19:30:54 - mmengine - INFO - Epoch(train) [26][2900/3757] lr: 1.0000e-02 eta: 2 days, 3:24:46 time: 0.7204 data_time: 0.0210 memory: 17350 grad_norm: 5.4681 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9056 loss: 1.9056 2022/07/22 19:31:06 - mmengine - INFO - Epoch(train) [26][2920/3757] lr: 1.0000e-02 eta: 2 days, 3:24:31 time: 0.6221 data_time: 0.0233 memory: 17350 grad_norm: 5.5048 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0359 loss: 2.0359 2022/07/22 19:31:20 - mmengine - INFO - Epoch(train) [26][2940/3757] lr: 1.0000e-02 eta: 2 days, 3:24:18 time: 0.6714 data_time: 0.0226 memory: 17350 grad_norm: 5.8009 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0608 loss: 2.0608 2022/07/22 19:31:34 - mmengine - INFO - Epoch(train) [26][2960/3757] lr: 1.0000e-02 eta: 2 days, 3:24:07 time: 0.7009 data_time: 0.0230 memory: 17350 grad_norm: 5.2600 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8560 loss: 1.8560 2022/07/22 19:31:46 - mmengine - INFO - Epoch(train) [26][2980/3757] lr: 1.0000e-02 eta: 2 days, 3:23:52 time: 0.6286 data_time: 0.0243 memory: 17350 grad_norm: 5.4979 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9532 loss: 1.9532 2022/07/22 19:32:00 - mmengine - INFO - Epoch(train) [26][3000/3757] lr: 1.0000e-02 eta: 2 days, 3:23:40 time: 0.6922 data_time: 0.0214 memory: 17350 grad_norm: 5.4224 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7564 loss: 1.7564 2022/07/22 19:32:12 - mmengine - INFO - Epoch(train) [26][3020/3757] lr: 1.0000e-02 eta: 2 days, 3:23:22 time: 0.5853 data_time: 0.0232 memory: 17350 grad_norm: 5.4371 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7804 loss: 1.7804 2022/07/22 19:32:26 - mmengine - INFO - Epoch(train) [26][3040/3757] lr: 1.0000e-02 eta: 2 days, 3:23:12 time: 0.7161 data_time: 0.0331 memory: 17350 grad_norm: 5.3888 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6897 loss: 1.6897 2022/07/22 19:32:38 - mmengine - INFO - Epoch(train) [26][3060/3757] lr: 1.0000e-02 eta: 2 days, 3:22:56 time: 0.6139 data_time: 0.0466 memory: 17350 grad_norm: 5.4825 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0654 loss: 2.0654 2022/07/22 19:32:49 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 19:32:52 - mmengine - INFO - Epoch(train) [26][3080/3757] lr: 1.0000e-02 eta: 2 days, 3:22:43 time: 0.6686 data_time: 0.0231 memory: 17350 grad_norm: 5.4487 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4905 loss: 2.4905 2022/07/22 19:33:05 - mmengine - INFO - Epoch(train) [26][3100/3757] lr: 1.0000e-02 eta: 2 days, 3:22:31 time: 0.6838 data_time: 0.0223 memory: 17350 grad_norm: 5.6138 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9469 loss: 1.9469 2022/07/22 19:33:18 - mmengine - INFO - Epoch(train) [26][3120/3757] lr: 1.0000e-02 eta: 2 days, 3:22:16 time: 0.6333 data_time: 0.0979 memory: 17350 grad_norm: 5.4660 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0248 loss: 2.0248 2022/07/22 19:33:31 - mmengine - INFO - Epoch(train) [26][3140/3757] lr: 1.0000e-02 eta: 2 days, 3:22:02 time: 0.6638 data_time: 0.0699 memory: 17350 grad_norm: 5.3529 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9790 loss: 1.9790 2022/07/22 19:33:46 - mmengine - INFO - Epoch(train) [26][3160/3757] lr: 1.0000e-02 eta: 2 days, 3:21:53 time: 0.7260 data_time: 0.0219 memory: 17350 grad_norm: 5.5920 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7398 loss: 1.7398 2022/07/22 19:33:58 - mmengine - INFO - Epoch(train) [26][3180/3757] lr: 1.0000e-02 eta: 2 days, 3:21:37 time: 0.6263 data_time: 0.0229 memory: 17350 grad_norm: 5.4662 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7647 loss: 1.7647 2022/07/22 19:34:13 - mmengine - INFO - Epoch(train) [26][3200/3757] lr: 1.0000e-02 eta: 2 days, 3:21:28 time: 0.7403 data_time: 0.0220 memory: 17350 grad_norm: 5.4338 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9636 loss: 1.9636 2022/07/22 19:34:25 - mmengine - INFO - Epoch(train) [26][3220/3757] lr: 1.0000e-02 eta: 2 days, 3:21:11 time: 0.5848 data_time: 0.0239 memory: 17350 grad_norm: 5.4388 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0415 loss: 2.0415 2022/07/22 19:34:39 - mmengine - INFO - Epoch(train) [26][3240/3757] lr: 1.0000e-02 eta: 2 days, 3:20:58 time: 0.6782 data_time: 0.0345 memory: 17350 grad_norm: 5.3554 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8359 loss: 1.8359 2022/07/22 19:34:51 - mmengine - INFO - Epoch(train) [26][3260/3757] lr: 1.0000e-02 eta: 2 days, 3:20:42 time: 0.6089 data_time: 0.0504 memory: 17350 grad_norm: 5.5567 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7320 loss: 1.7320 2022/07/22 19:35:06 - mmengine - INFO - Epoch(train) [26][3280/3757] lr: 1.0000e-02 eta: 2 days, 3:20:33 time: 0.7476 data_time: 0.0220 memory: 17350 grad_norm: 5.6634 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8397 loss: 1.8397 2022/07/22 19:35:19 - mmengine - INFO - Epoch(train) [26][3300/3757] lr: 1.0000e-02 eta: 2 days, 3:20:20 time: 0.6579 data_time: 0.0898 memory: 17350 grad_norm: 5.3397 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3066 loss: 2.3066 2022/07/22 19:35:32 - mmengine - INFO - Epoch(train) [26][3320/3757] lr: 1.0000e-02 eta: 2 days, 3:20:07 time: 0.6677 data_time: 0.1137 memory: 17350 grad_norm: 5.3377 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8668 loss: 1.8668 2022/07/22 19:35:45 - mmengine - INFO - Epoch(train) [26][3340/3757] lr: 1.0000e-02 eta: 2 days, 3:19:51 time: 0.6249 data_time: 0.1023 memory: 17350 grad_norm: 5.6057 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9005 loss: 1.9005 2022/07/22 19:35:59 - mmengine - INFO - Epoch(train) [26][3360/3757] lr: 1.0000e-02 eta: 2 days, 3:19:40 time: 0.7096 data_time: 0.1210 memory: 17350 grad_norm: 5.5857 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.9228 loss: 1.9228 2022/07/22 19:36:12 - mmengine - INFO - Epoch(train) [26][3380/3757] lr: 1.0000e-02 eta: 2 days, 3:19:26 time: 0.6356 data_time: 0.0987 memory: 17350 grad_norm: 5.5203 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8276 loss: 1.8276 2022/07/22 19:36:25 - mmengine - INFO - Epoch(train) [26][3400/3757] lr: 1.0000e-02 eta: 2 days, 3:19:13 time: 0.6776 data_time: 0.0992 memory: 17350 grad_norm: 5.5378 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9286 loss: 1.9286 2022/07/22 19:36:38 - mmengine - INFO - Epoch(train) [26][3420/3757] lr: 1.0000e-02 eta: 2 days, 3:18:59 time: 0.6478 data_time: 0.0384 memory: 17350 grad_norm: 5.6926 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6676 loss: 1.6676 2022/07/22 19:36:52 - mmengine - INFO - Epoch(train) [26][3440/3757] lr: 1.0000e-02 eta: 2 days, 3:18:48 time: 0.7131 data_time: 0.0232 memory: 17350 grad_norm: 5.3816 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7544 loss: 1.7544 2022/07/22 19:37:05 - mmengine - INFO - Epoch(train) [26][3460/3757] lr: 1.0000e-02 eta: 2 days, 3:18:32 time: 0.6044 data_time: 0.0215 memory: 17350 grad_norm: 5.3707 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9481 loss: 1.9481 2022/07/22 19:37:19 - mmengine - INFO - Epoch(train) [26][3480/3757] lr: 1.0000e-02 eta: 2 days, 3:18:22 time: 0.7290 data_time: 0.0235 memory: 17350 grad_norm: 5.3789 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7464 loss: 1.7464 2022/07/22 19:37:31 - mmengine - INFO - Epoch(train) [26][3500/3757] lr: 1.0000e-02 eta: 2 days, 3:18:05 time: 0.5890 data_time: 0.0237 memory: 17350 grad_norm: 5.5363 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9446 loss: 1.9446 2022/07/22 19:37:46 - mmengine - INFO - Epoch(train) [26][3520/3757] lr: 1.0000e-02 eta: 2 days, 3:17:56 time: 0.7367 data_time: 0.0212 memory: 17350 grad_norm: 5.4661 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0970 loss: 2.0970 2022/07/22 19:37:58 - mmengine - INFO - Epoch(train) [26][3540/3757] lr: 1.0000e-02 eta: 2 days, 3:17:40 time: 0.6209 data_time: 0.0270 memory: 17350 grad_norm: 5.3935 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8829 loss: 1.8829 2022/07/22 19:38:12 - mmengine - INFO - Epoch(train) [26][3560/3757] lr: 1.0000e-02 eta: 2 days, 3:17:29 time: 0.7117 data_time: 0.0227 memory: 17350 grad_norm: 5.4219 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9405 loss: 1.9405 2022/07/22 19:38:25 - mmengine - INFO - Epoch(train) [26][3580/3757] lr: 1.0000e-02 eta: 2 days, 3:17:14 time: 0.6346 data_time: 0.0226 memory: 17350 grad_norm: 5.4560 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0893 loss: 2.0893 2022/07/22 19:38:38 - mmengine - INFO - Epoch(train) [26][3600/3757] lr: 1.0000e-02 eta: 2 days, 3:17:01 time: 0.6669 data_time: 0.0258 memory: 17350 grad_norm: 5.4662 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8413 loss: 1.8413 2022/07/22 19:38:51 - mmengine - INFO - Epoch(train) [26][3620/3757] lr: 1.0000e-02 eta: 2 days, 3:16:45 time: 0.6099 data_time: 0.0226 memory: 17350 grad_norm: 5.5242 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9283 loss: 1.9283 2022/07/22 19:39:05 - mmengine - INFO - Epoch(train) [26][3640/3757] lr: 1.0000e-02 eta: 2 days, 3:16:35 time: 0.7284 data_time: 0.0224 memory: 17350 grad_norm: 5.3269 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9368 loss: 1.9368 2022/07/22 19:39:18 - mmengine - INFO - Epoch(train) [26][3660/3757] lr: 1.0000e-02 eta: 2 days, 3:16:20 time: 0.6326 data_time: 0.0232 memory: 17350 grad_norm: 5.2927 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6767 loss: 1.6767 2022/07/22 19:39:32 - mmengine - INFO - Epoch(train) [26][3680/3757] lr: 1.0000e-02 eta: 2 days, 3:16:10 time: 0.7211 data_time: 0.0216 memory: 17350 grad_norm: 5.5366 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9331 loss: 1.9331 2022/07/22 19:39:45 - mmengine - INFO - Epoch(train) [26][3700/3757] lr: 1.0000e-02 eta: 2 days, 3:15:55 time: 0.6239 data_time: 0.0324 memory: 17350 grad_norm: 5.5186 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7594 loss: 1.7594 2022/07/22 19:39:59 - mmengine - INFO - Epoch(train) [26][3720/3757] lr: 1.0000e-02 eta: 2 days, 3:15:45 time: 0.7334 data_time: 0.0236 memory: 17350 grad_norm: 5.5871 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1239 loss: 2.1239 2022/07/22 19:40:12 - mmengine - INFO - Epoch(train) [26][3740/3757] lr: 1.0000e-02 eta: 2 days, 3:15:30 time: 0.6166 data_time: 0.0230 memory: 17350 grad_norm: 5.2566 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9659 loss: 1.9659 2022/07/22 19:40:20 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 19:40:20 - mmengine - INFO - Epoch(train) [26][3757/3757] lr: 1.0000e-02 eta: 2 days, 3:15:30 time: 0.4769 data_time: 0.0225 memory: 17350 grad_norm: 5.4269 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.5807 loss: 1.5807 2022/07/22 19:40:38 - mmengine - INFO - Epoch(val) [26][20/310] eta: 0:04:11 time: 0.8661 data_time: 0.7535 memory: 3406 2022/07/22 19:40:48 - mmengine - INFO - Epoch(val) [26][40/310] eta: 0:02:22 time: 0.5286 data_time: 0.4164 memory: 3406 2022/07/22 19:41:03 - mmengine - INFO - Epoch(val) [26][60/310] eta: 0:03:10 time: 0.7638 data_time: 0.6500 memory: 3406 2022/07/22 19:41:14 - mmengine - INFO - Epoch(val) [26][80/310] eta: 0:02:07 time: 0.5539 data_time: 0.4414 memory: 3406 2022/07/22 19:41:30 - mmengine - INFO - Epoch(val) [26][100/310] eta: 0:02:40 time: 0.7644 data_time: 0.6500 memory: 3406 2022/07/22 19:41:41 - mmengine - INFO - Epoch(val) [26][120/310] eta: 0:01:50 time: 0.5805 data_time: 0.4632 memory: 3406 2022/07/22 19:41:57 - mmengine - INFO - Epoch(val) [26][140/310] eta: 0:02:16 time: 0.8016 data_time: 0.6871 memory: 3406 2022/07/22 19:42:08 - mmengine - INFO - Epoch(val) [26][160/310] eta: 0:01:21 time: 0.5458 data_time: 0.4340 memory: 3406 2022/07/22 19:42:24 - mmengine - INFO - Epoch(val) [26][180/310] eta: 0:01:41 time: 0.7841 data_time: 0.6713 memory: 3406 2022/07/22 19:42:36 - mmengine - INFO - Epoch(val) [26][200/310] eta: 0:01:03 time: 0.5745 data_time: 0.4623 memory: 3406 2022/07/22 19:42:50 - mmengine - INFO - Epoch(val) [26][220/310] eta: 0:01:06 time: 0.7383 data_time: 0.6255 memory: 3406 2022/07/22 19:43:01 - mmengine - INFO - Epoch(val) [26][240/310] eta: 0:00:37 time: 0.5352 data_time: 0.4231 memory: 3406 2022/07/22 19:43:16 - mmengine - INFO - Epoch(val) [26][260/310] eta: 0:00:36 time: 0.7311 data_time: 0.6153 memory: 3406 2022/07/22 19:43:27 - mmengine - INFO - Epoch(val) [26][280/310] eta: 0:00:16 time: 0.5459 data_time: 0.4316 memory: 3406 2022/07/22 19:43:42 - mmengine - INFO - Epoch(val) [26][300/310] eta: 0:00:07 time: 0.7533 data_time: 0.6397 memory: 3406 2022/07/22 19:43:46 - mmengine - INFO - Epoch(val) [26][310/310] acc/top1: 0.5754 acc/top5: 0.8129 acc/mean1: 0.5753 2022/07/22 19:44:04 - mmengine - INFO - Epoch(train) [27][20/3757] lr: 1.0000e-02 eta: 2 days, 3:14:46 time: 0.8963 data_time: 0.4137 memory: 17350 grad_norm: 5.4889 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8537 loss: 1.8537 2022/07/22 19:44:17 - mmengine - INFO - Epoch(train) [27][40/3757] lr: 1.0000e-02 eta: 2 days, 3:14:31 time: 0.6340 data_time: 0.1531 memory: 17350 grad_norm: 5.4027 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7437 loss: 1.7437 2022/07/22 19:44:31 - mmengine - INFO - Epoch(train) [27][60/3757] lr: 1.0000e-02 eta: 2 days, 3:14:22 time: 0.7345 data_time: 0.0865 memory: 17350 grad_norm: 5.4275 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0576 loss: 2.0576 2022/07/22 19:44:44 - mmengine - INFO - Epoch(train) [27][80/3757] lr: 1.0000e-02 eta: 2 days, 3:14:05 time: 0.6074 data_time: 0.0224 memory: 17350 grad_norm: 5.2694 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7197 loss: 1.7197 2022/07/22 19:44:59 - mmengine - INFO - Epoch(train) [27][100/3757] lr: 1.0000e-02 eta: 2 days, 3:13:59 time: 0.7783 data_time: 0.0230 memory: 17350 grad_norm: 5.5122 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6369 loss: 1.6369 2022/07/22 19:45:12 - mmengine - INFO - Epoch(train) [27][120/3757] lr: 1.0000e-02 eta: 2 days, 3:13:45 time: 0.6645 data_time: 0.0234 memory: 17350 grad_norm: 5.6001 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0265 loss: 2.0265 2022/07/22 19:45:26 - mmengine - INFO - Epoch(train) [27][140/3757] lr: 1.0000e-02 eta: 2 days, 3:13:34 time: 0.6900 data_time: 0.0235 memory: 17350 grad_norm: 5.4159 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7924 loss: 1.7924 2022/07/22 19:45:39 - mmengine - INFO - Epoch(train) [27][160/3757] lr: 1.0000e-02 eta: 2 days, 3:13:18 time: 0.6243 data_time: 0.0213 memory: 17350 grad_norm: 5.2619 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8487 loss: 1.8487 2022/07/22 19:45:54 - mmengine - INFO - Epoch(train) [27][180/3757] lr: 1.0000e-02 eta: 2 days, 3:13:09 time: 0.7367 data_time: 0.0223 memory: 17350 grad_norm: 5.6111 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8787 loss: 1.8787 2022/07/22 19:46:05 - mmengine - INFO - Epoch(train) [27][200/3757] lr: 1.0000e-02 eta: 2 days, 3:12:51 time: 0.5715 data_time: 0.0231 memory: 17350 grad_norm: 5.4809 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2255 loss: 2.2255 2022/07/22 19:46:19 - mmengine - INFO - Epoch(train) [27][220/3757] lr: 1.0000e-02 eta: 2 days, 3:12:40 time: 0.7152 data_time: 0.0220 memory: 17350 grad_norm: 5.4293 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0406 loss: 2.0406 2022/07/22 19:46:31 - mmengine - INFO - Epoch(train) [27][240/3757] lr: 1.0000e-02 eta: 2 days, 3:12:24 time: 0.6062 data_time: 0.0230 memory: 17350 grad_norm: 5.4543 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7889 loss: 1.7889 2022/07/22 19:46:45 - mmengine - INFO - Epoch(train) [27][260/3757] lr: 1.0000e-02 eta: 2 days, 3:12:11 time: 0.6769 data_time: 0.0388 memory: 17350 grad_norm: 5.5760 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8233 loss: 1.8233 2022/07/22 19:46:57 - mmengine - INFO - Epoch(train) [27][280/3757] lr: 1.0000e-02 eta: 2 days, 3:11:54 time: 0.6041 data_time: 0.0683 memory: 17350 grad_norm: 5.4804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9290 loss: 1.9290 2022/07/22 19:47:12 - mmengine - INFO - Epoch(train) [27][300/3757] lr: 1.0000e-02 eta: 2 days, 3:11:47 time: 0.7617 data_time: 0.1095 memory: 17350 grad_norm: 5.6596 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8206 loss: 1.8206 2022/07/22 19:47:24 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 19:47:25 - mmengine - INFO - Epoch(train) [27][320/3757] lr: 1.0000e-02 eta: 2 days, 3:11:31 time: 0.6279 data_time: 0.1562 memory: 17350 grad_norm: 5.4663 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6483 loss: 1.6483 2022/07/22 19:47:40 - mmengine - INFO - Epoch(train) [27][340/3757] lr: 1.0000e-02 eta: 2 days, 3:11:23 time: 0.7472 data_time: 0.1189 memory: 17350 grad_norm: 5.4827 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9153 loss: 1.9153 2022/07/22 19:47:52 - mmengine - INFO - Epoch(train) [27][360/3757] lr: 1.0000e-02 eta: 2 days, 3:11:05 time: 0.5856 data_time: 0.0266 memory: 17350 grad_norm: 5.3997 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1255 loss: 2.1255 2022/07/22 19:48:07 - mmengine - INFO - Epoch(train) [27][380/3757] lr: 1.0000e-02 eta: 2 days, 3:10:57 time: 0.7510 data_time: 0.0528 memory: 17350 grad_norm: 5.5240 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0238 loss: 2.0238 2022/07/22 19:48:18 - mmengine - INFO - Epoch(train) [27][400/3757] lr: 1.0000e-02 eta: 2 days, 3:10:38 time: 0.5580 data_time: 0.0515 memory: 17350 grad_norm: 5.4571 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7054 loss: 1.7054 2022/07/22 19:48:32 - mmengine - INFO - Epoch(train) [27][420/3757] lr: 1.0000e-02 eta: 2 days, 3:10:28 time: 0.7333 data_time: 0.2234 memory: 17350 grad_norm: 5.3499 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6448 loss: 1.6448 2022/07/22 19:48:45 - mmengine - INFO - Epoch(train) [27][440/3757] lr: 1.0000e-02 eta: 2 days, 3:10:12 time: 0.6067 data_time: 0.0652 memory: 17350 grad_norm: 5.5946 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6350 loss: 1.6350 2022/07/22 19:48:59 - mmengine - INFO - Epoch(train) [27][460/3757] lr: 1.0000e-02 eta: 2 days, 3:10:01 time: 0.7030 data_time: 0.0903 memory: 17350 grad_norm: 5.4804 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3052 loss: 2.3052 2022/07/22 19:49:11 - mmengine - INFO - Epoch(train) [27][480/3757] lr: 1.0000e-02 eta: 2 days, 3:09:45 time: 0.6268 data_time: 0.0300 memory: 17350 grad_norm: 5.5066 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7941 loss: 1.7941 2022/07/22 19:49:24 - mmengine - INFO - Epoch(train) [27][500/3757] lr: 1.0000e-02 eta: 2 days, 3:09:31 time: 0.6501 data_time: 0.0419 memory: 17350 grad_norm: 5.4342 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0566 loss: 2.0566 2022/07/22 19:49:37 - mmengine - INFO - Epoch(train) [27][520/3757] lr: 1.0000e-02 eta: 2 days, 3:09:18 time: 0.6610 data_time: 0.0456 memory: 17350 grad_norm: 5.6883 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8115 loss: 1.8115 2022/07/22 19:49:50 - mmengine - INFO - Epoch(train) [27][540/3757] lr: 1.0000e-02 eta: 2 days, 3:09:04 time: 0.6556 data_time: 0.1358 memory: 17350 grad_norm: 5.4899 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9043 loss: 1.9043 2022/07/22 19:50:05 - mmengine - INFO - Epoch(train) [27][560/3757] lr: 1.0000e-02 eta: 2 days, 3:08:54 time: 0.7149 data_time: 0.1423 memory: 17350 grad_norm: 5.6038 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0417 loss: 2.0417 2022/07/22 19:50:18 - mmengine - INFO - Epoch(train) [27][580/3757] lr: 1.0000e-02 eta: 2 days, 3:08:40 time: 0.6507 data_time: 0.1673 memory: 17350 grad_norm: 5.5064 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0918 loss: 2.0918 2022/07/22 19:50:31 - mmengine - INFO - Epoch(train) [27][600/3757] lr: 1.0000e-02 eta: 2 days, 3:08:25 time: 0.6382 data_time: 0.1509 memory: 17350 grad_norm: 5.4885 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8901 loss: 1.8901 2022/07/22 19:50:46 - mmengine - INFO - Epoch(train) [27][620/3757] lr: 1.0000e-02 eta: 2 days, 3:08:17 time: 0.7526 data_time: 0.1925 memory: 17350 grad_norm: 5.5259 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2225 loss: 2.2225 2022/07/22 19:50:58 - mmengine - INFO - Epoch(train) [27][640/3757] lr: 1.0000e-02 eta: 2 days, 3:08:00 time: 0.6028 data_time: 0.0740 memory: 17350 grad_norm: 5.4544 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7331 loss: 1.7331 2022/07/22 19:51:12 - mmengine - INFO - Epoch(train) [27][660/3757] lr: 1.0000e-02 eta: 2 days, 3:07:49 time: 0.7018 data_time: 0.0235 memory: 17350 grad_norm: 5.4180 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6394 loss: 1.6394 2022/07/22 19:51:25 - mmengine - INFO - Epoch(train) [27][680/3757] lr: 1.0000e-02 eta: 2 days, 3:07:34 time: 0.6402 data_time: 0.0504 memory: 17350 grad_norm: 5.4089 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0664 loss: 2.0664 2022/07/22 19:51:39 - mmengine - INFO - Epoch(train) [27][700/3757] lr: 1.0000e-02 eta: 2 days, 3:07:25 time: 0.7269 data_time: 0.0226 memory: 17350 grad_norm: 5.2533 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7361 loss: 1.7361 2022/07/22 19:51:51 - mmengine - INFO - Epoch(train) [27][720/3757] lr: 1.0000e-02 eta: 2 days, 3:07:07 time: 0.5857 data_time: 0.0219 memory: 17350 grad_norm: 5.5336 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9769 loss: 1.9769 2022/07/22 19:52:06 - mmengine - INFO - Epoch(train) [27][740/3757] lr: 1.0000e-02 eta: 2 days, 3:06:58 time: 0.7438 data_time: 0.0216 memory: 17350 grad_norm: 5.6585 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0531 loss: 2.0531 2022/07/22 19:52:18 - mmengine - INFO - Epoch(train) [27][760/3757] lr: 1.0000e-02 eta: 2 days, 3:06:41 time: 0.5969 data_time: 0.0227 memory: 17350 grad_norm: 5.5636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9396 loss: 1.9396 2022/07/22 19:52:31 - mmengine - INFO - Epoch(train) [27][780/3757] lr: 1.0000e-02 eta: 2 days, 3:06:29 time: 0.6872 data_time: 0.0224 memory: 17350 grad_norm: 5.4839 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9511 loss: 1.9511 2022/07/22 19:52:43 - mmengine - INFO - Epoch(train) [27][800/3757] lr: 1.0000e-02 eta: 2 days, 3:06:12 time: 0.5994 data_time: 0.0222 memory: 17350 grad_norm: 5.7164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1430 loss: 2.1430 2022/07/22 19:52:59 - mmengine - INFO - Epoch(train) [27][820/3757] lr: 1.0000e-02 eta: 2 days, 3:06:04 time: 0.7573 data_time: 0.0228 memory: 17350 grad_norm: 5.4050 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9092 loss: 1.9092 2022/07/22 19:53:10 - mmengine - INFO - Epoch(train) [27][840/3757] lr: 1.0000e-02 eta: 2 days, 3:05:46 time: 0.5664 data_time: 0.0259 memory: 17350 grad_norm: 5.6907 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1290 loss: 2.1290 2022/07/22 19:53:26 - mmengine - INFO - Epoch(train) [27][860/3757] lr: 1.0000e-02 eta: 2 days, 3:05:40 time: 0.7950 data_time: 0.0230 memory: 17350 grad_norm: 5.4393 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7402 loss: 1.7402 2022/07/22 19:53:37 - mmengine - INFO - Epoch(train) [27][880/3757] lr: 1.0000e-02 eta: 2 days, 3:05:21 time: 0.5665 data_time: 0.0228 memory: 17350 grad_norm: 5.4279 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1789 loss: 2.1789 2022/07/22 19:53:53 - mmengine - INFO - Epoch(train) [27][900/3757] lr: 1.0000e-02 eta: 2 days, 3:05:14 time: 0.7760 data_time: 0.0215 memory: 17350 grad_norm: 5.5830 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9795 loss: 1.9795 2022/07/22 19:54:05 - mmengine - INFO - Epoch(train) [27][920/3757] lr: 1.0000e-02 eta: 2 days, 3:04:57 time: 0.6029 data_time: 0.0264 memory: 17350 grad_norm: 5.4987 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7392 loss: 1.7392 2022/07/22 19:54:19 - mmengine - INFO - Epoch(train) [27][940/3757] lr: 1.0000e-02 eta: 2 days, 3:04:47 time: 0.7053 data_time: 0.0204 memory: 17350 grad_norm: 5.6262 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9401 loss: 1.9401 2022/07/22 19:54:31 - mmengine - INFO - Epoch(train) [27][960/3757] lr: 1.0000e-02 eta: 2 days, 3:04:31 time: 0.6245 data_time: 0.0249 memory: 17350 grad_norm: 5.5158 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7681 loss: 1.7681 2022/07/22 19:54:46 - mmengine - INFO - Epoch(train) [27][980/3757] lr: 1.0000e-02 eta: 2 days, 3:04:21 time: 0.7161 data_time: 0.0228 memory: 17350 grad_norm: 5.5911 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8220 loss: 1.8220 2022/07/22 19:54:58 - mmengine - INFO - Epoch(train) [27][1000/3757] lr: 1.0000e-02 eta: 2 days, 3:04:04 time: 0.6040 data_time: 0.0222 memory: 17350 grad_norm: 5.3082 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9844 loss: 1.9844 2022/07/22 19:55:12 - mmengine - INFO - Epoch(train) [27][1020/3757] lr: 1.0000e-02 eta: 2 days, 3:03:54 time: 0.7213 data_time: 0.0227 memory: 17350 grad_norm: 5.4860 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9857 loss: 1.9857 2022/07/22 19:55:24 - mmengine - INFO - Epoch(train) [27][1040/3757] lr: 1.0000e-02 eta: 2 days, 3:03:37 time: 0.5989 data_time: 0.0243 memory: 17350 grad_norm: 5.4297 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0854 loss: 2.0854 2022/07/22 19:55:39 - mmengine - INFO - Epoch(train) [27][1060/3757] lr: 1.0000e-02 eta: 2 days, 3:03:29 time: 0.7486 data_time: 0.0210 memory: 17350 grad_norm: 5.7592 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8996 loss: 1.8996 2022/07/22 19:55:51 - mmengine - INFO - Epoch(train) [27][1080/3757] lr: 1.0000e-02 eta: 2 days, 3:03:12 time: 0.6013 data_time: 0.0240 memory: 17350 grad_norm: 5.6694 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8758 loss: 1.8758 2022/07/22 19:56:06 - mmengine - INFO - Epoch(train) [27][1100/3757] lr: 1.0000e-02 eta: 2 days, 3:03:03 time: 0.7470 data_time: 0.0214 memory: 17350 grad_norm: 5.2300 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5252 loss: 1.5252 2022/07/22 19:56:18 - mmengine - INFO - Epoch(train) [27][1120/3757] lr: 1.0000e-02 eta: 2 days, 3:02:47 time: 0.6112 data_time: 0.0222 memory: 17350 grad_norm: 5.4536 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9940 loss: 1.9940 2022/07/22 19:56:32 - mmengine - INFO - Epoch(train) [27][1140/3757] lr: 1.0000e-02 eta: 2 days, 3:02:36 time: 0.7063 data_time: 0.0227 memory: 17350 grad_norm: 5.7282 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8112 loss: 1.8112 2022/07/22 19:56:44 - mmengine - INFO - Epoch(train) [27][1160/3757] lr: 1.0000e-02 eta: 2 days, 3:02:19 time: 0.5979 data_time: 0.0243 memory: 17350 grad_norm: 5.3055 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8375 loss: 1.8375 2022/07/22 19:56:59 - mmengine - INFO - Epoch(train) [27][1180/3757] lr: 1.0000e-02 eta: 2 days, 3:02:08 time: 0.7037 data_time: 0.0216 memory: 17350 grad_norm: 5.6104 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0076 loss: 2.0076 2022/07/22 19:57:10 - mmengine - INFO - Epoch(train) [27][1200/3757] lr: 1.0000e-02 eta: 2 days, 3:01:50 time: 0.5780 data_time: 0.0228 memory: 17350 grad_norm: 5.4794 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1554 loss: 2.1554 2022/07/22 19:57:24 - mmengine - INFO - Epoch(train) [27][1220/3757] lr: 1.0000e-02 eta: 2 days, 3:01:40 time: 0.7179 data_time: 0.0238 memory: 17350 grad_norm: 5.4846 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9035 loss: 1.9035 2022/07/22 19:57:37 - mmengine - INFO - Epoch(train) [27][1240/3757] lr: 1.0000e-02 eta: 2 days, 3:01:25 time: 0.6314 data_time: 0.0758 memory: 17350 grad_norm: 5.4436 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6652 loss: 1.6652 2022/07/22 19:57:51 - mmengine - INFO - Epoch(train) [27][1260/3757] lr: 1.0000e-02 eta: 2 days, 3:01:14 time: 0.7034 data_time: 0.0307 memory: 17350 grad_norm: 5.3648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7913 loss: 1.7913 2022/07/22 19:58:03 - mmengine - INFO - Epoch(train) [27][1280/3757] lr: 1.0000e-02 eta: 2 days, 3:00:56 time: 0.5923 data_time: 0.0234 memory: 17350 grad_norm: 5.2910 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0285 loss: 2.0285 2022/07/22 19:58:18 - mmengine - INFO - Epoch(train) [27][1300/3757] lr: 1.0000e-02 eta: 2 days, 3:00:48 time: 0.7455 data_time: 0.0224 memory: 17350 grad_norm: 5.4170 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7261 loss: 1.7261 2022/07/22 19:58:30 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 19:58:30 - mmengine - INFO - Epoch(train) [27][1320/3757] lr: 1.0000e-02 eta: 2 days, 3:00:32 time: 0.6151 data_time: 0.0229 memory: 17350 grad_norm: 5.5880 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7887 loss: 1.7887 2022/07/22 19:58:45 - mmengine - INFO - Epoch(train) [27][1340/3757] lr: 1.0000e-02 eta: 2 days, 3:00:23 time: 0.7394 data_time: 0.0207 memory: 17350 grad_norm: 5.5074 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7711 loss: 1.7711 2022/07/22 19:58:58 - mmengine - INFO - Epoch(train) [27][1360/3757] lr: 1.0000e-02 eta: 2 days, 3:00:08 time: 0.6331 data_time: 0.0230 memory: 17350 grad_norm: 5.4737 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8334 loss: 1.8334 2022/07/22 19:59:11 - mmengine - INFO - Epoch(train) [27][1380/3757] lr: 1.0000e-02 eta: 2 days, 2:59:55 time: 0.6740 data_time: 0.0213 memory: 17350 grad_norm: 5.4299 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6735 loss: 1.6735 2022/07/22 19:59:23 - mmengine - INFO - Epoch(train) [27][1400/3757] lr: 1.0000e-02 eta: 2 days, 2:59:37 time: 0.5839 data_time: 0.0223 memory: 17350 grad_norm: 5.6565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9711 loss: 1.9711 2022/07/22 19:59:37 - mmengine - INFO - Epoch(train) [27][1420/3757] lr: 1.0000e-02 eta: 2 days, 2:59:26 time: 0.7002 data_time: 0.0212 memory: 17350 grad_norm: 5.5522 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2578 loss: 2.2578 2022/07/22 19:59:49 - mmengine - INFO - Epoch(train) [27][1440/3757] lr: 1.0000e-02 eta: 2 days, 2:59:10 time: 0.6044 data_time: 0.0246 memory: 17350 grad_norm: 5.5189 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0633 loss: 2.0633 2022/07/22 20:00:03 - mmengine - INFO - Epoch(train) [27][1460/3757] lr: 1.0000e-02 eta: 2 days, 2:59:00 time: 0.7257 data_time: 0.0236 memory: 17350 grad_norm: 5.6952 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0266 loss: 2.0266 2022/07/22 20:00:16 - mmengine - INFO - Epoch(train) [27][1480/3757] lr: 1.0000e-02 eta: 2 days, 2:58:45 time: 0.6345 data_time: 0.0220 memory: 17350 grad_norm: 5.3989 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8922 loss: 1.8922 2022/07/22 20:00:30 - mmengine - INFO - Epoch(train) [27][1500/3757] lr: 1.0000e-02 eta: 2 days, 2:58:33 time: 0.6847 data_time: 0.0289 memory: 17350 grad_norm: 5.5368 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1830 loss: 2.1830 2022/07/22 20:00:42 - mmengine - INFO - Epoch(train) [27][1520/3757] lr: 1.0000e-02 eta: 2 days, 2:58:16 time: 0.5954 data_time: 0.0461 memory: 17350 grad_norm: 5.3590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0164 loss: 2.0164 2022/07/22 20:00:57 - mmengine - INFO - Epoch(train) [27][1540/3757] lr: 1.0000e-02 eta: 2 days, 2:58:08 time: 0.7595 data_time: 0.0221 memory: 17350 grad_norm: 5.3754 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0348 loss: 2.0348 2022/07/22 20:01:09 - mmengine - INFO - Epoch(train) [27][1560/3757] lr: 1.0000e-02 eta: 2 days, 2:57:52 time: 0.6110 data_time: 0.0227 memory: 17350 grad_norm: 5.2332 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1148 loss: 2.1148 2022/07/22 20:01:23 - mmengine - INFO - Epoch(train) [27][1580/3757] lr: 1.0000e-02 eta: 2 days, 2:57:41 time: 0.7055 data_time: 0.0211 memory: 17350 grad_norm: 5.4866 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7279 loss: 1.7279 2022/07/22 20:01:36 - mmengine - INFO - Epoch(train) [27][1600/3757] lr: 1.0000e-02 eta: 2 days, 2:57:25 time: 0.6300 data_time: 0.0327 memory: 17350 grad_norm: 5.4828 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3451 loss: 2.3451 2022/07/22 20:01:51 - mmengine - INFO - Epoch(train) [27][1620/3757] lr: 1.0000e-02 eta: 2 days, 2:57:17 time: 0.7546 data_time: 0.0212 memory: 17350 grad_norm: 5.2947 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8804 loss: 1.8804 2022/07/22 20:02:03 - mmengine - INFO - Epoch(train) [27][1640/3757] lr: 1.0000e-02 eta: 2 days, 2:56:59 time: 0.5838 data_time: 0.0248 memory: 17350 grad_norm: 5.4114 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2646 loss: 2.2646 2022/07/22 20:02:17 - mmengine - INFO - Epoch(train) [27][1660/3757] lr: 1.0000e-02 eta: 2 days, 2:56:48 time: 0.6969 data_time: 0.0223 memory: 17350 grad_norm: 5.3260 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0521 loss: 2.0521 2022/07/22 20:02:29 - mmengine - INFO - Epoch(train) [27][1680/3757] lr: 1.0000e-02 eta: 2 days, 2:56:32 time: 0.6179 data_time: 0.0827 memory: 17350 grad_norm: 5.5479 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2128 loss: 2.2128 2022/07/22 20:02:43 - mmengine - INFO - Epoch(train) [27][1700/3757] lr: 1.0000e-02 eta: 2 days, 2:56:21 time: 0.6984 data_time: 0.1363 memory: 17350 grad_norm: 5.4538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8001 loss: 1.8001 2022/07/22 20:02:56 - mmengine - INFO - Epoch(train) [27][1720/3757] lr: 1.0000e-02 eta: 2 days, 2:56:06 time: 0.6419 data_time: 0.0774 memory: 17350 grad_norm: 5.3861 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.1894 loss: 2.1894 2022/07/22 20:03:11 - mmengine - INFO - Epoch(train) [27][1740/3757] lr: 1.0000e-02 eta: 2 days, 2:55:58 time: 0.7537 data_time: 0.0276 memory: 17350 grad_norm: 5.4531 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8166 loss: 1.8166 2022/07/22 20:03:23 - mmengine - INFO - Epoch(train) [27][1760/3757] lr: 1.0000e-02 eta: 2 days, 2:55:42 time: 0.6127 data_time: 0.0713 memory: 17350 grad_norm: 5.4223 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0468 loss: 2.0468 2022/07/22 20:03:37 - mmengine - INFO - Epoch(train) [27][1780/3757] lr: 1.0000e-02 eta: 2 days, 2:55:31 time: 0.7034 data_time: 0.0436 memory: 17350 grad_norm: 5.3093 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9681 loss: 1.9681 2022/07/22 20:03:50 - mmengine - INFO - Epoch(train) [27][1800/3757] lr: 1.0000e-02 eta: 2 days, 2:55:16 time: 0.6315 data_time: 0.1118 memory: 17350 grad_norm: 5.3949 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6848 loss: 1.6848 2022/07/22 20:04:04 - mmengine - INFO - Epoch(train) [27][1820/3757] lr: 1.0000e-02 eta: 2 days, 2:55:05 time: 0.6988 data_time: 0.1125 memory: 17350 grad_norm: 5.3381 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6829 loss: 1.6829 2022/07/22 20:04:17 - mmengine - INFO - Epoch(train) [27][1840/3757] lr: 1.0000e-02 eta: 2 days, 2:54:51 time: 0.6511 data_time: 0.1077 memory: 17350 grad_norm: 5.3934 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2569 loss: 2.2569 2022/07/22 20:04:31 - mmengine - INFO - Epoch(train) [27][1860/3757] lr: 1.0000e-02 eta: 2 days, 2:54:38 time: 0.6843 data_time: 0.1239 memory: 17350 grad_norm: 5.4370 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7498 loss: 1.7498 2022/07/22 20:04:43 - mmengine - INFO - Epoch(train) [27][1880/3757] lr: 1.0000e-02 eta: 2 days, 2:54:24 time: 0.6362 data_time: 0.0878 memory: 17350 grad_norm: 5.4741 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9308 loss: 1.9308 2022/07/22 20:04:58 - mmengine - INFO - Epoch(train) [27][1900/3757] lr: 1.0000e-02 eta: 2 days, 2:54:14 time: 0.7308 data_time: 0.0218 memory: 17350 grad_norm: 5.4177 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9880 loss: 1.9880 2022/07/22 20:05:11 - mmengine - INFO - Epoch(train) [27][1920/3757] lr: 1.0000e-02 eta: 2 days, 2:53:59 time: 0.6296 data_time: 0.0249 memory: 17350 grad_norm: 5.3492 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6291 loss: 1.6291 2022/07/22 20:05:25 - mmengine - INFO - Epoch(train) [27][1940/3757] lr: 1.0000e-02 eta: 2 days, 2:53:50 time: 0.7444 data_time: 0.0271 memory: 17350 grad_norm: 5.5949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9050 loss: 1.9050 2022/07/22 20:05:37 - mmengine - INFO - Epoch(train) [27][1960/3757] lr: 1.0000e-02 eta: 2 days, 2:53:32 time: 0.5800 data_time: 0.1152 memory: 17350 grad_norm: 5.3589 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9808 loss: 1.9808 2022/07/22 20:05:52 - mmengine - INFO - Epoch(train) [27][1980/3757] lr: 1.0000e-02 eta: 2 days, 2:53:24 time: 0.7451 data_time: 0.0659 memory: 17350 grad_norm: 5.1606 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7918 loss: 1.7918 2022/07/22 20:06:04 - mmengine - INFO - Epoch(train) [27][2000/3757] lr: 1.0000e-02 eta: 2 days, 2:53:08 time: 0.6224 data_time: 0.0353 memory: 17350 grad_norm: 5.4373 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9758 loss: 1.9758 2022/07/22 20:06:19 - mmengine - INFO - Epoch(train) [27][2020/3757] lr: 1.0000e-02 eta: 2 days, 2:52:58 time: 0.7268 data_time: 0.0211 memory: 17350 grad_norm: 5.5804 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9874 loss: 1.9874 2022/07/22 20:06:31 - mmengine - INFO - Epoch(train) [27][2040/3757] lr: 1.0000e-02 eta: 2 days, 2:52:43 time: 0.6221 data_time: 0.0252 memory: 17350 grad_norm: 5.3375 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8948 loss: 1.8948 2022/07/22 20:06:45 - mmengine - INFO - Epoch(train) [27][2060/3757] lr: 1.0000e-02 eta: 2 days, 2:52:30 time: 0.6785 data_time: 0.0224 memory: 17350 grad_norm: 5.4313 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6302 loss: 1.6302 2022/07/22 20:06:58 - mmengine - INFO - Epoch(train) [27][2080/3757] lr: 1.0000e-02 eta: 2 days, 2:52:16 time: 0.6394 data_time: 0.0233 memory: 17350 grad_norm: 5.3971 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6633 loss: 1.6633 2022/07/22 20:07:12 - mmengine - INFO - Epoch(train) [27][2100/3757] lr: 1.0000e-02 eta: 2 days, 2:52:05 time: 0.7056 data_time: 0.0226 memory: 17350 grad_norm: 5.2295 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6107 loss: 1.6107 2022/07/22 20:07:23 - mmengine - INFO - Epoch(train) [27][2120/3757] lr: 1.0000e-02 eta: 2 days, 2:51:46 time: 0.5682 data_time: 0.0248 memory: 17350 grad_norm: 5.2661 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9842 loss: 1.9842 2022/07/22 20:07:38 - mmengine - INFO - Epoch(train) [27][2140/3757] lr: 1.0000e-02 eta: 2 days, 2:51:37 time: 0.7406 data_time: 0.0213 memory: 17350 grad_norm: 5.4398 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6744 loss: 1.6744 2022/07/22 20:07:51 - mmengine - INFO - Epoch(train) [27][2160/3757] lr: 1.0000e-02 eta: 2 days, 2:51:22 time: 0.6243 data_time: 0.0988 memory: 17350 grad_norm: 5.4599 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6934 loss: 1.6934 2022/07/22 20:08:05 - mmengine - INFO - Epoch(train) [27][2180/3757] lr: 1.0000e-02 eta: 2 days, 2:51:13 time: 0.7423 data_time: 0.0384 memory: 17350 grad_norm: 5.5995 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9745 loss: 1.9745 2022/07/22 20:08:18 - mmengine - INFO - Epoch(train) [27][2200/3757] lr: 1.0000e-02 eta: 2 days, 2:50:58 time: 0.6385 data_time: 0.0991 memory: 17350 grad_norm: 5.2853 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9410 loss: 1.9410 2022/07/22 20:08:31 - mmengine - INFO - Epoch(train) [27][2220/3757] lr: 1.0000e-02 eta: 2 days, 2:50:43 time: 0.6405 data_time: 0.1561 memory: 17350 grad_norm: 5.4055 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6598 loss: 1.6598 2022/07/22 20:08:45 - mmengine - INFO - Epoch(train) [27][2240/3757] lr: 1.0000e-02 eta: 2 days, 2:50:33 time: 0.7115 data_time: 0.3360 memory: 17350 grad_norm: 5.4687 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7896 loss: 1.7896 2022/07/22 20:08:57 - mmengine - INFO - Epoch(train) [27][2260/3757] lr: 1.0000e-02 eta: 2 days, 2:50:16 time: 0.6043 data_time: 0.2295 memory: 17350 grad_norm: 5.5663 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6709 loss: 1.6709 2022/07/22 20:09:11 - mmengine - INFO - Epoch(train) [27][2280/3757] lr: 1.0000e-02 eta: 2 days, 2:50:03 time: 0.6623 data_time: 0.2468 memory: 17350 grad_norm: 5.4796 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0651 loss: 2.0651 2022/07/22 20:09:24 - mmengine - INFO - Epoch(train) [27][2300/3757] lr: 1.0000e-02 eta: 2 days, 2:49:50 time: 0.6728 data_time: 0.1767 memory: 17350 grad_norm: 5.3823 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0818 loss: 2.0818 2022/07/22 20:09:38 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 20:09:38 - mmengine - INFO - Epoch(train) [27][2320/3757] lr: 1.0000e-02 eta: 2 days, 2:49:39 time: 0.7083 data_time: 0.3516 memory: 17350 grad_norm: 5.4974 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0796 loss: 2.0796 2022/07/22 20:09:50 - mmengine - INFO - Epoch(train) [27][2340/3757] lr: 1.0000e-02 eta: 2 days, 2:49:23 time: 0.6084 data_time: 0.2679 memory: 17350 grad_norm: 5.4103 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0323 loss: 2.0323 2022/07/22 20:10:05 - mmengine - INFO - Epoch(train) [27][2360/3757] lr: 1.0000e-02 eta: 2 days, 2:49:14 time: 0.7436 data_time: 0.4002 memory: 17350 grad_norm: 5.3104 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9926 loss: 1.9926 2022/07/22 20:10:17 - mmengine - INFO - Epoch(train) [27][2380/3757] lr: 1.0000e-02 eta: 2 days, 2:48:57 time: 0.6006 data_time: 0.2393 memory: 17350 grad_norm: 5.2909 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8083 loss: 1.8083 2022/07/22 20:10:32 - mmengine - INFO - Epoch(train) [27][2400/3757] lr: 1.0000e-02 eta: 2 days, 2:48:48 time: 0.7295 data_time: 0.3771 memory: 17350 grad_norm: 5.5223 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9670 loss: 1.9670 2022/07/22 20:10:44 - mmengine - INFO - Epoch(train) [27][2420/3757] lr: 1.0000e-02 eta: 2 days, 2:48:31 time: 0.5985 data_time: 0.2647 memory: 17350 grad_norm: 5.5110 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9011 loss: 1.9011 2022/07/22 20:10:58 - mmengine - INFO - Epoch(train) [27][2440/3757] lr: 1.0000e-02 eta: 2 days, 2:48:19 time: 0.6958 data_time: 0.3596 memory: 17350 grad_norm: 5.4921 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1212 loss: 2.1212 2022/07/22 20:11:10 - mmengine - INFO - Epoch(train) [27][2460/3757] lr: 1.0000e-02 eta: 2 days, 2:48:02 time: 0.5948 data_time: 0.1522 memory: 17350 grad_norm: 5.4588 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9393 loss: 1.9393 2022/07/22 20:11:24 - mmengine - INFO - Epoch(train) [27][2480/3757] lr: 1.0000e-02 eta: 2 days, 2:47:52 time: 0.7127 data_time: 0.1293 memory: 17350 grad_norm: 5.3693 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1036 loss: 2.1036 2022/07/22 20:11:36 - mmengine - INFO - Epoch(train) [27][2500/3757] lr: 1.0000e-02 eta: 2 days, 2:47:36 time: 0.6229 data_time: 0.0432 memory: 17350 grad_norm: 5.3060 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8000 loss: 1.8000 2022/07/22 20:11:50 - mmengine - INFO - Epoch(train) [27][2520/3757] lr: 1.0000e-02 eta: 2 days, 2:47:25 time: 0.6947 data_time: 0.1067 memory: 17350 grad_norm: 5.4633 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8515 loss: 1.8515 2022/07/22 20:12:03 - mmengine - INFO - Epoch(train) [27][2540/3757] lr: 1.0000e-02 eta: 2 days, 2:47:10 time: 0.6447 data_time: 0.1720 memory: 17350 grad_norm: 5.5053 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8240 loss: 1.8240 2022/07/22 20:12:17 - mmengine - INFO - Epoch(train) [27][2560/3757] lr: 1.0000e-02 eta: 2 days, 2:46:57 time: 0.6657 data_time: 0.1214 memory: 17350 grad_norm: 5.2155 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7311 loss: 1.7311 2022/07/22 20:12:31 - mmengine - INFO - Epoch(train) [27][2580/3757] lr: 1.0000e-02 eta: 2 days, 2:46:46 time: 0.6977 data_time: 0.0161 memory: 17350 grad_norm: 5.5888 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7822 loss: 1.7822 2022/07/22 20:12:45 - mmengine - INFO - Epoch(train) [27][2600/3757] lr: 1.0000e-02 eta: 2 days, 2:46:36 time: 0.7219 data_time: 0.0222 memory: 17350 grad_norm: 5.5094 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9195 loss: 1.9195 2022/07/22 20:12:58 - mmengine - INFO - Epoch(train) [27][2620/3757] lr: 1.0000e-02 eta: 2 days, 2:46:21 time: 0.6448 data_time: 0.0225 memory: 17350 grad_norm: 5.4685 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1469 loss: 2.1469 2022/07/22 20:13:11 - mmengine - INFO - Epoch(train) [27][2640/3757] lr: 1.0000e-02 eta: 2 days, 2:46:08 time: 0.6707 data_time: 0.0245 memory: 17350 grad_norm: 5.4452 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7845 loss: 1.7845 2022/07/22 20:13:24 - mmengine - INFO - Epoch(train) [27][2660/3757] lr: 1.0000e-02 eta: 2 days, 2:45:54 time: 0.6424 data_time: 0.0231 memory: 17350 grad_norm: 5.4277 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8595 loss: 1.8595 2022/07/22 20:13:38 - mmengine - INFO - Epoch(train) [27][2680/3757] lr: 1.0000e-02 eta: 2 days, 2:45:43 time: 0.6990 data_time: 0.0217 memory: 17350 grad_norm: 5.2717 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6733 loss: 1.6733 2022/07/22 20:13:52 - mmengine - INFO - Epoch(train) [27][2700/3757] lr: 1.0000e-02 eta: 2 days, 2:45:30 time: 0.6709 data_time: 0.0234 memory: 17350 grad_norm: 5.4920 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.1442 loss: 2.1442 2022/07/22 20:14:05 - mmengine - INFO - Epoch(train) [27][2720/3757] lr: 1.0000e-02 eta: 2 days, 2:45:16 time: 0.6576 data_time: 0.0220 memory: 17350 grad_norm: 5.6695 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1948 loss: 2.1948 2022/07/22 20:14:18 - mmengine - INFO - Epoch(train) [27][2740/3757] lr: 1.0000e-02 eta: 2 days, 2:45:03 time: 0.6644 data_time: 0.0224 memory: 17350 grad_norm: 5.4179 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8369 loss: 1.8369 2022/07/22 20:14:31 - mmengine - INFO - Epoch(train) [27][2760/3757] lr: 1.0000e-02 eta: 2 days, 2:44:49 time: 0.6509 data_time: 0.0244 memory: 17350 grad_norm: 5.5863 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2487 loss: 2.2487 2022/07/22 20:14:44 - mmengine - INFO - Epoch(train) [27][2780/3757] lr: 1.0000e-02 eta: 2 days, 2:44:35 time: 0.6475 data_time: 0.0223 memory: 17350 grad_norm: 5.2928 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6497 loss: 1.6497 2022/07/22 20:14:58 - mmengine - INFO - Epoch(train) [27][2800/3757] lr: 1.0000e-02 eta: 2 days, 2:44:24 time: 0.7035 data_time: 0.0237 memory: 17350 grad_norm: 5.5233 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1887 loss: 2.1887 2022/07/22 20:15:11 - mmengine - INFO - Epoch(train) [27][2820/3757] lr: 1.0000e-02 eta: 2 days, 2:44:09 time: 0.6378 data_time: 0.0246 memory: 17350 grad_norm: 5.6138 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6804 loss: 1.6804 2022/07/22 20:15:25 - mmengine - INFO - Epoch(train) [27][2840/3757] lr: 1.0000e-02 eta: 2 days, 2:43:59 time: 0.7276 data_time: 0.0220 memory: 17350 grad_norm: 5.6566 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1443 loss: 2.1443 2022/07/22 20:15:37 - mmengine - INFO - Epoch(train) [27][2860/3757] lr: 1.0000e-02 eta: 2 days, 2:43:41 time: 0.5794 data_time: 0.0273 memory: 17350 grad_norm: 5.5678 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7877 loss: 1.7877 2022/07/22 20:15:52 - mmengine - INFO - Epoch(train) [27][2880/3757] lr: 1.0000e-02 eta: 2 days, 2:43:32 time: 0.7268 data_time: 0.0271 memory: 17350 grad_norm: 5.4726 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1126 loss: 2.1126 2022/07/22 20:16:04 - mmengine - INFO - Epoch(train) [27][2900/3757] lr: 1.0000e-02 eta: 2 days, 2:43:15 time: 0.6055 data_time: 0.0214 memory: 17350 grad_norm: 5.3839 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9305 loss: 1.9305 2022/07/22 20:16:18 - mmengine - INFO - Epoch(train) [27][2920/3757] lr: 1.0000e-02 eta: 2 days, 2:43:06 time: 0.7379 data_time: 0.0220 memory: 17350 grad_norm: 5.2913 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7753 loss: 1.7753 2022/07/22 20:16:31 - mmengine - INFO - Epoch(train) [27][2940/3757] lr: 1.0000e-02 eta: 2 days, 2:42:50 time: 0.6107 data_time: 0.0228 memory: 17350 grad_norm: 5.5391 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9599 loss: 1.9599 2022/07/22 20:16:44 - mmengine - INFO - Epoch(train) [27][2960/3757] lr: 1.0000e-02 eta: 2 days, 2:42:38 time: 0.6901 data_time: 0.0231 memory: 17350 grad_norm: 5.4187 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8677 loss: 1.8677 2022/07/22 20:16:57 - mmengine - INFO - Epoch(train) [27][2980/3757] lr: 1.0000e-02 eta: 2 days, 2:42:23 time: 0.6407 data_time: 0.0220 memory: 17350 grad_norm: 5.4255 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9935 loss: 1.9935 2022/07/22 20:17:12 - mmengine - INFO - Epoch(train) [27][3000/3757] lr: 1.0000e-02 eta: 2 days, 2:42:14 time: 0.7392 data_time: 0.0215 memory: 17350 grad_norm: 5.3791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7975 loss: 1.7975 2022/07/22 20:17:24 - mmengine - INFO - Epoch(train) [27][3020/3757] lr: 1.0000e-02 eta: 2 days, 2:41:57 time: 0.5849 data_time: 0.0268 memory: 17350 grad_norm: 5.5175 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7279 loss: 1.7279 2022/07/22 20:17:38 - mmengine - INFO - Epoch(train) [27][3040/3757] lr: 1.0000e-02 eta: 2 days, 2:41:46 time: 0.7142 data_time: 0.0212 memory: 17350 grad_norm: 5.2813 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0976 loss: 2.0976 2022/07/22 20:17:50 - mmengine - INFO - Epoch(train) [27][3060/3757] lr: 1.0000e-02 eta: 2 days, 2:41:30 time: 0.6118 data_time: 0.0229 memory: 17350 grad_norm: 5.4833 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8071 loss: 1.8071 2022/07/22 20:18:04 - mmengine - INFO - Epoch(train) [27][3080/3757] lr: 1.0000e-02 eta: 2 days, 2:41:18 time: 0.6888 data_time: 0.0173 memory: 17350 grad_norm: 5.5922 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1170 loss: 2.1170 2022/07/22 20:18:17 - mmengine - INFO - Epoch(train) [27][3100/3757] lr: 1.0000e-02 eta: 2 days, 2:41:05 time: 0.6644 data_time: 0.0242 memory: 17350 grad_norm: 5.3713 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9811 loss: 1.9811 2022/07/22 20:18:31 - mmengine - INFO - Epoch(train) [27][3120/3757] lr: 1.0000e-02 eta: 2 days, 2:40:52 time: 0.6635 data_time: 0.0219 memory: 17350 grad_norm: 5.3781 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8228 loss: 1.8228 2022/07/22 20:18:44 - mmengine - INFO - Epoch(train) [27][3140/3757] lr: 1.0000e-02 eta: 2 days, 2:40:37 time: 0.6414 data_time: 0.0182 memory: 17350 grad_norm: 5.5666 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2819 loss: 2.2819 2022/07/22 20:18:56 - mmengine - INFO - Epoch(train) [27][3160/3757] lr: 1.0000e-02 eta: 2 days, 2:40:22 time: 0.6345 data_time: 0.0227 memory: 17350 grad_norm: 5.4864 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1020 loss: 2.1020 2022/07/22 20:19:09 - mmengine - INFO - Epoch(train) [27][3180/3757] lr: 1.0000e-02 eta: 2 days, 2:40:08 time: 0.6549 data_time: 0.0213 memory: 17350 grad_norm: 5.4952 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8365 loss: 1.8365 2022/07/22 20:19:24 - mmengine - INFO - Epoch(train) [27][3200/3757] lr: 1.0000e-02 eta: 2 days, 2:39:58 time: 0.7139 data_time: 0.0231 memory: 17350 grad_norm: 5.2789 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7638 loss: 1.7638 2022/07/22 20:19:37 - mmengine - INFO - Epoch(train) [27][3220/3757] lr: 1.0000e-02 eta: 2 days, 2:39:44 time: 0.6592 data_time: 0.0221 memory: 17350 grad_norm: 5.5619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8230 loss: 1.8230 2022/07/22 20:19:49 - mmengine - INFO - Epoch(train) [27][3240/3757] lr: 1.0000e-02 eta: 2 days, 2:39:29 time: 0.6196 data_time: 0.0218 memory: 17350 grad_norm: 5.4919 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9978 loss: 1.9978 2022/07/22 20:20:02 - mmengine - INFO - Epoch(train) [27][3260/3757] lr: 1.0000e-02 eta: 2 days, 2:39:13 time: 0.6216 data_time: 0.0345 memory: 17350 grad_norm: 5.6604 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8532 loss: 1.8532 2022/07/22 20:20:17 - mmengine - INFO - Epoch(train) [27][3280/3757] lr: 1.0000e-02 eta: 2 days, 2:39:04 time: 0.7453 data_time: 0.0231 memory: 17350 grad_norm: 5.4186 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0397 loss: 2.0397 2022/07/22 20:20:29 - mmengine - INFO - Epoch(train) [27][3300/3757] lr: 1.0000e-02 eta: 2 days, 2:38:48 time: 0.6100 data_time: 0.0227 memory: 17350 grad_norm: 5.3716 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4954 loss: 1.4954 2022/07/22 20:20:43 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 20:20:44 - mmengine - INFO - Epoch(train) [27][3320/3757] lr: 1.0000e-02 eta: 2 days, 2:38:40 time: 0.7545 data_time: 0.0264 memory: 17350 grad_norm: 5.3118 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2279 loss: 2.2279 2022/07/22 20:20:56 - mmengine - INFO - Epoch(train) [27][3340/3757] lr: 1.0000e-02 eta: 2 days, 2:38:24 time: 0.6133 data_time: 0.0225 memory: 17350 grad_norm: 5.6740 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0059 loss: 2.0059 2022/07/22 20:21:12 - mmengine - INFO - Epoch(train) [27][3360/3757] lr: 1.0000e-02 eta: 2 days, 2:38:17 time: 0.7839 data_time: 0.0234 memory: 17350 grad_norm: 5.5897 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1667 loss: 2.1667 2022/07/22 20:21:24 - mmengine - INFO - Epoch(train) [27][3380/3757] lr: 1.0000e-02 eta: 2 days, 2:38:00 time: 0.5956 data_time: 0.0236 memory: 17350 grad_norm: 5.3675 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8920 loss: 1.8920 2022/07/22 20:21:38 - mmengine - INFO - Epoch(train) [27][3400/3757] lr: 1.0000e-02 eta: 2 days, 2:37:50 time: 0.7318 data_time: 0.0210 memory: 17350 grad_norm: 5.5970 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.0086 loss: 2.0086 2022/07/22 20:21:50 - mmengine - INFO - Epoch(train) [27][3420/3757] lr: 1.0000e-02 eta: 2 days, 2:37:33 time: 0.5937 data_time: 0.0243 memory: 17350 grad_norm: 5.4609 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7698 loss: 1.7698 2022/07/22 20:22:05 - mmengine - INFO - Epoch(train) [27][3440/3757] lr: 1.0000e-02 eta: 2 days, 2:37:25 time: 0.7469 data_time: 0.0407 memory: 17350 grad_norm: 5.4270 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7708 loss: 1.7708 2022/07/22 20:22:17 - mmengine - INFO - Epoch(train) [27][3460/3757] lr: 1.0000e-02 eta: 2 days, 2:37:09 time: 0.6120 data_time: 0.0236 memory: 17350 grad_norm: 5.3946 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1032 loss: 2.1032 2022/07/22 20:22:32 - mmengine - INFO - Epoch(train) [27][3480/3757] lr: 1.0000e-02 eta: 2 days, 2:36:59 time: 0.7249 data_time: 0.0214 memory: 17350 grad_norm: 5.6135 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7305 loss: 1.7305 2022/07/22 20:22:43 - mmengine - INFO - Epoch(train) [27][3500/3757] lr: 1.0000e-02 eta: 2 days, 2:36:40 time: 0.5683 data_time: 0.0250 memory: 17350 grad_norm: 5.5951 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0382 loss: 2.0382 2022/07/22 20:22:58 - mmengine - INFO - Epoch(train) [27][3520/3757] lr: 1.0000e-02 eta: 2 days, 2:36:31 time: 0.7396 data_time: 0.0212 memory: 17350 grad_norm: 5.4223 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6590 loss: 1.6590 2022/07/22 20:23:09 - mmengine - INFO - Epoch(train) [27][3540/3757] lr: 1.0000e-02 eta: 2 days, 2:36:12 time: 0.5585 data_time: 0.0245 memory: 17350 grad_norm: 5.5635 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9671 loss: 1.9671 2022/07/22 20:23:24 - mmengine - INFO - Epoch(train) [27][3560/3757] lr: 1.0000e-02 eta: 2 days, 2:36:03 time: 0.7357 data_time: 0.0248 memory: 17350 grad_norm: 5.5670 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7966 loss: 1.7966 2022/07/22 20:23:37 - mmengine - INFO - Epoch(train) [27][3580/3757] lr: 1.0000e-02 eta: 2 days, 2:35:47 time: 0.6250 data_time: 0.0243 memory: 17350 grad_norm: 5.6496 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9039 loss: 1.9039 2022/07/22 20:23:51 - mmengine - INFO - Epoch(train) [27][3600/3757] lr: 1.0000e-02 eta: 2 days, 2:35:37 time: 0.7205 data_time: 0.0224 memory: 17350 grad_norm: 5.4371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0944 loss: 2.0944 2022/07/22 20:24:02 - mmengine - INFO - Epoch(train) [27][3620/3757] lr: 1.0000e-02 eta: 2 days, 2:35:19 time: 0.5726 data_time: 0.0220 memory: 17350 grad_norm: 5.5097 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9104 loss: 1.9104 2022/07/22 20:24:16 - mmengine - INFO - Epoch(train) [27][3640/3757] lr: 1.0000e-02 eta: 2 days, 2:35:06 time: 0.6805 data_time: 0.0229 memory: 17350 grad_norm: 5.4205 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0873 loss: 2.0873 2022/07/22 20:24:29 - mmengine - INFO - Epoch(train) [27][3660/3757] lr: 1.0000e-02 eta: 2 days, 2:34:51 time: 0.6243 data_time: 0.0236 memory: 17350 grad_norm: 5.6096 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8538 loss: 1.8538 2022/07/22 20:24:44 - mmengine - INFO - Epoch(train) [27][3680/3757] lr: 1.0000e-02 eta: 2 days, 2:34:43 time: 0.7610 data_time: 0.0212 memory: 17350 grad_norm: 5.6135 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9406 loss: 1.9406 2022/07/22 20:24:56 - mmengine - INFO - Epoch(train) [27][3700/3757] lr: 1.0000e-02 eta: 2 days, 2:34:27 time: 0.6147 data_time: 0.0223 memory: 17350 grad_norm: 5.3846 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9514 loss: 1.9514 2022/07/22 20:25:11 - mmengine - INFO - Epoch(train) [27][3720/3757] lr: 1.0000e-02 eta: 2 days, 2:34:18 time: 0.7398 data_time: 0.0212 memory: 17350 grad_norm: 5.5164 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8624 loss: 1.8624 2022/07/22 20:25:24 - mmengine - INFO - Epoch(train) [27][3740/3757] lr: 1.0000e-02 eta: 2 days, 2:34:03 time: 0.6377 data_time: 0.0224 memory: 17350 grad_norm: 5.3207 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0491 loss: 2.0491 2022/07/22 20:25:32 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 20:25:32 - mmengine - INFO - Epoch(train) [27][3757/3757] lr: 1.0000e-02 eta: 2 days, 2:34:03 time: 0.4670 data_time: 0.0257 memory: 17350 grad_norm: 5.4033 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.6377 loss: 1.6377 2022/07/22 20:25:49 - mmengine - INFO - Epoch(val) [27][20/310] eta: 0:04:06 time: 0.8495 data_time: 0.7357 memory: 3406 2022/07/22 20:26:00 - mmengine - INFO - Epoch(val) [27][40/310] eta: 0:02:26 time: 0.5442 data_time: 0.4328 memory: 3406 2022/07/22 20:26:16 - mmengine - INFO - Epoch(val) [27][60/310] eta: 0:03:24 time: 0.8174 data_time: 0.7030 memory: 3406 2022/07/22 20:26:27 - mmengine - INFO - Epoch(val) [27][80/310] eta: 0:02:10 time: 0.5660 data_time: 0.4528 memory: 3406 2022/07/22 20:26:42 - mmengine - INFO - Epoch(val) [27][100/310] eta: 0:02:37 time: 0.7494 data_time: 0.6348 memory: 3406 2022/07/22 20:26:53 - mmengine - INFO - Epoch(val) [27][120/310] eta: 0:01:43 time: 0.5454 data_time: 0.4307 memory: 3406 2022/07/22 20:27:10 - mmengine - INFO - Epoch(val) [27][140/310] eta: 0:02:17 time: 0.8103 data_time: 0.6941 memory: 3406 2022/07/22 20:27:21 - mmengine - INFO - Epoch(val) [27][160/310] eta: 0:01:26 time: 0.5749 data_time: 0.4629 memory: 3406 2022/07/22 20:27:36 - mmengine - INFO - Epoch(val) [27][180/310] eta: 0:01:38 time: 0.7614 data_time: 0.6479 memory: 3406 2022/07/22 20:27:48 - mmengine - INFO - Epoch(val) [27][200/310] eta: 0:01:01 time: 0.5631 data_time: 0.4494 memory: 3406 2022/07/22 20:28:04 - mmengine - INFO - Epoch(val) [27][220/310] eta: 0:01:13 time: 0.8168 data_time: 0.7038 memory: 3406 2022/07/22 20:28:15 - mmengine - INFO - Epoch(val) [27][240/310] eta: 0:00:37 time: 0.5327 data_time: 0.4208 memory: 3406 2022/07/22 20:28:30 - mmengine - INFO - Epoch(val) [27][260/310] eta: 0:00:39 time: 0.7853 data_time: 0.6709 memory: 3406 2022/07/22 20:28:41 - mmengine - INFO - Epoch(val) [27][280/310] eta: 0:00:16 time: 0.5599 data_time: 0.4434 memory: 3406 2022/07/22 20:28:55 - mmengine - INFO - Epoch(val) [27][300/310] eta: 0:00:06 time: 0.6822 data_time: 0.5684 memory: 3406 2022/07/22 20:29:00 - mmengine - INFO - Epoch(val) [27][310/310] acc/top1: 0.5822 acc/top5: 0.8176 acc/mean1: 0.5822 2022/07/22 20:29:00 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_25.pth is removed 2022/07/22 20:29:04 - mmengine - INFO - The best checkpoint with 0.5822 acc/top1 at 28 epoch is saved to best_acc/top1_epoch_28.pth. 2022/07/22 20:29:20 - mmengine - INFO - Epoch(train) [28][20/3757] lr: 1.0000e-02 eta: 2 days, 2:33:17 time: 0.8223 data_time: 0.4912 memory: 17350 grad_norm: 5.5751 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1536 loss: 2.1536 2022/07/22 20:29:32 - mmengine - INFO - Epoch(train) [28][40/3757] lr: 1.0000e-02 eta: 2 days, 2:32:59 time: 0.5869 data_time: 0.2559 memory: 17350 grad_norm: 5.5738 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7823 loss: 1.7823 2022/07/22 20:29:46 - mmengine - INFO - Epoch(train) [28][60/3757] lr: 1.0000e-02 eta: 2 days, 2:32:49 time: 0.7090 data_time: 0.3770 memory: 17350 grad_norm: 5.5049 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9092 loss: 1.9092 2022/07/22 20:29:59 - mmengine - INFO - Epoch(train) [28][80/3757] lr: 1.0000e-02 eta: 2 days, 2:32:35 time: 0.6578 data_time: 0.3347 memory: 17350 grad_norm: 5.3313 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.7455 loss: 1.7455 2022/07/22 20:30:14 - mmengine - INFO - Epoch(train) [28][100/3757] lr: 1.0000e-02 eta: 2 days, 2:32:26 time: 0.7500 data_time: 0.4144 memory: 17350 grad_norm: 5.4366 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0671 loss: 2.0671 2022/07/22 20:30:26 - mmengine - INFO - Epoch(train) [28][120/3757] lr: 1.0000e-02 eta: 2 days, 2:32:08 time: 0.5656 data_time: 0.2426 memory: 17350 grad_norm: 5.5509 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8736 loss: 1.8736 2022/07/22 20:30:40 - mmengine - INFO - Epoch(train) [28][140/3757] lr: 1.0000e-02 eta: 2 days, 2:31:57 time: 0.7191 data_time: 0.3974 memory: 17350 grad_norm: 5.3813 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7331 loss: 1.7331 2022/07/22 20:30:52 - mmengine - INFO - Epoch(train) [28][160/3757] lr: 1.0000e-02 eta: 2 days, 2:31:42 time: 0.6156 data_time: 0.2944 memory: 17350 grad_norm: 5.5106 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1137 loss: 2.1137 2022/07/22 20:31:07 - mmengine - INFO - Epoch(train) [28][180/3757] lr: 1.0000e-02 eta: 2 days, 2:31:33 time: 0.7511 data_time: 0.4359 memory: 17350 grad_norm: 5.3001 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8321 loss: 1.8321 2022/07/22 20:31:20 - mmengine - INFO - Epoch(train) [28][200/3757] lr: 1.0000e-02 eta: 2 days, 2:31:18 time: 0.6246 data_time: 0.3000 memory: 17350 grad_norm: 5.3564 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1833 loss: 2.1833 2022/07/22 20:31:35 - mmengine - INFO - Epoch(train) [28][220/3757] lr: 1.0000e-02 eta: 2 days, 2:31:09 time: 0.7431 data_time: 0.4142 memory: 17350 grad_norm: 5.2859 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2780 loss: 2.2780 2022/07/22 20:31:46 - mmengine - INFO - Epoch(train) [28][240/3757] lr: 1.0000e-02 eta: 2 days, 2:30:50 time: 0.5592 data_time: 0.2232 memory: 17350 grad_norm: 5.3825 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7683 loss: 1.7683 2022/07/22 20:32:00 - mmengine - INFO - Epoch(train) [28][260/3757] lr: 1.0000e-02 eta: 2 days, 2:30:40 time: 0.7256 data_time: 0.3984 memory: 17350 grad_norm: 5.3902 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8491 loss: 1.8491 2022/07/22 20:32:13 - mmengine - INFO - Epoch(train) [28][280/3757] lr: 1.0000e-02 eta: 2 days, 2:30:24 time: 0.6100 data_time: 0.2771 memory: 17350 grad_norm: 5.2972 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6854 loss: 1.6854 2022/07/22 20:32:27 - mmengine - INFO - Epoch(train) [28][300/3757] lr: 1.0000e-02 eta: 2 days, 2:30:14 time: 0.7336 data_time: 0.4026 memory: 17350 grad_norm: 5.4401 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8464 loss: 1.8464 2022/07/22 20:32:39 - mmengine - INFO - Epoch(train) [28][320/3757] lr: 1.0000e-02 eta: 2 days, 2:29:56 time: 0.5788 data_time: 0.2483 memory: 17350 grad_norm: 5.4308 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8901 loss: 1.8901 2022/07/22 20:32:54 - mmengine - INFO - Epoch(train) [28][340/3757] lr: 1.0000e-02 eta: 2 days, 2:29:47 time: 0.7411 data_time: 0.3968 memory: 17350 grad_norm: 5.5103 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0142 loss: 2.0142 2022/07/22 20:33:07 - mmengine - INFO - Epoch(train) [28][360/3757] lr: 1.0000e-02 eta: 2 days, 2:29:33 time: 0.6475 data_time: 0.3177 memory: 17350 grad_norm: 5.6165 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9122 loss: 1.9122 2022/07/22 20:33:22 - mmengine - INFO - Epoch(train) [28][380/3757] lr: 1.0000e-02 eta: 2 days, 2:29:24 time: 0.7452 data_time: 0.4123 memory: 17350 grad_norm: 5.3814 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7347 loss: 1.7347 2022/07/22 20:33:33 - mmengine - INFO - Epoch(train) [28][400/3757] lr: 1.0000e-02 eta: 2 days, 2:29:07 time: 0.5807 data_time: 0.2465 memory: 17350 grad_norm: 5.5496 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0074 loss: 2.0074 2022/07/22 20:33:48 - mmengine - INFO - Epoch(train) [28][420/3757] lr: 1.0000e-02 eta: 2 days, 2:28:57 time: 0.7340 data_time: 0.4050 memory: 17350 grad_norm: 5.4946 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7583 loss: 1.7583 2022/07/22 20:33:59 - mmengine - INFO - Epoch(train) [28][440/3757] lr: 1.0000e-02 eta: 2 days, 2:28:38 time: 0.5646 data_time: 0.2301 memory: 17350 grad_norm: 5.2971 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8348 loss: 1.8348 2022/07/22 20:34:14 - mmengine - INFO - Epoch(train) [28][460/3757] lr: 1.0000e-02 eta: 2 days, 2:28:29 time: 0.7330 data_time: 0.3996 memory: 17350 grad_norm: 5.3798 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6527 loss: 1.6527 2022/07/22 20:34:26 - mmengine - INFO - Epoch(train) [28][480/3757] lr: 1.0000e-02 eta: 2 days, 2:28:12 time: 0.5921 data_time: 0.2602 memory: 17350 grad_norm: 5.5652 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5930 loss: 1.5930 2022/07/22 20:34:39 - mmengine - INFO - Epoch(train) [28][500/3757] lr: 1.0000e-02 eta: 2 days, 2:28:00 time: 0.6900 data_time: 0.3527 memory: 17350 grad_norm: 5.7773 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9785 loss: 1.9785 2022/07/22 20:34:51 - mmengine - INFO - Epoch(train) [28][520/3757] lr: 1.0000e-02 eta: 2 days, 2:27:42 time: 0.5838 data_time: 0.2518 memory: 17350 grad_norm: 5.3194 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9471 loss: 1.9471 2022/07/22 20:35:06 - mmengine - INFO - Epoch(train) [28][540/3757] lr: 1.0000e-02 eta: 2 days, 2:27:34 time: 0.7556 data_time: 0.4293 memory: 17350 grad_norm: 5.5705 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8920 loss: 1.8920 2022/07/22 20:35:18 - mmengine - INFO - Epoch(train) [28][560/3757] lr: 1.0000e-02 eta: 2 days, 2:27:16 time: 0.5848 data_time: 0.2550 memory: 17350 grad_norm: 5.4061 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8635 loss: 1.8635 2022/07/22 20:35:19 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 20:35:33 - mmengine - INFO - Epoch(train) [28][580/3757] lr: 1.0000e-02 eta: 2 days, 2:27:08 time: 0.7613 data_time: 0.4299 memory: 17350 grad_norm: 5.3748 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6271 loss: 1.6271 2022/07/22 20:35:45 - mmengine - INFO - Epoch(train) [28][600/3757] lr: 1.0000e-02 eta: 2 days, 2:26:52 time: 0.6037 data_time: 0.2773 memory: 17350 grad_norm: 5.3541 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6622 loss: 1.6622 2022/07/22 20:36:00 - mmengine - INFO - Epoch(train) [28][620/3757] lr: 1.0000e-02 eta: 2 days, 2:26:42 time: 0.7267 data_time: 0.3931 memory: 17350 grad_norm: 5.3171 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6509 loss: 1.6509 2022/07/22 20:36:13 - mmengine - INFO - Epoch(train) [28][640/3757] lr: 1.0000e-02 eta: 2 days, 2:26:29 time: 0.6623 data_time: 0.3250 memory: 17350 grad_norm: 5.3787 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9408 loss: 1.9408 2022/07/22 20:36:26 - mmengine - INFO - Epoch(train) [28][660/3757] lr: 1.0000e-02 eta: 2 days, 2:26:15 time: 0.6589 data_time: 0.3131 memory: 17350 grad_norm: 5.4773 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0182 loss: 2.0182 2022/07/22 20:36:39 - mmengine - INFO - Epoch(train) [28][680/3757] lr: 1.0000e-02 eta: 2 days, 2:26:01 time: 0.6440 data_time: 0.2290 memory: 17350 grad_norm: 5.4342 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2965 loss: 2.2965 2022/07/22 20:36:53 - mmengine - INFO - Epoch(train) [28][700/3757] lr: 1.0000e-02 eta: 2 days, 2:25:49 time: 0.6936 data_time: 0.3273 memory: 17350 grad_norm: 5.3068 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9236 loss: 1.9236 2022/07/22 20:37:06 - mmengine - INFO - Epoch(train) [28][720/3757] lr: 1.0000e-02 eta: 2 days, 2:25:34 time: 0.6302 data_time: 0.1830 memory: 17350 grad_norm: 5.3129 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8203 loss: 1.8203 2022/07/22 20:37:20 - mmengine - INFO - Epoch(train) [28][740/3757] lr: 1.0000e-02 eta: 2 days, 2:25:22 time: 0.6934 data_time: 0.2965 memory: 17350 grad_norm: 5.3667 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8721 loss: 1.8721 2022/07/22 20:37:32 - mmengine - INFO - Epoch(train) [28][760/3757] lr: 1.0000e-02 eta: 2 days, 2:25:08 time: 0.6395 data_time: 0.2462 memory: 17350 grad_norm: 5.3982 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0627 loss: 2.0627 2022/07/22 20:37:46 - mmengine - INFO - Epoch(train) [28][780/3757] lr: 1.0000e-02 eta: 2 days, 2:24:57 time: 0.6993 data_time: 0.3323 memory: 17350 grad_norm: 5.4662 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0560 loss: 2.0560 2022/07/22 20:38:00 - mmengine - INFO - Epoch(train) [28][800/3757] lr: 1.0000e-02 eta: 2 days, 2:24:43 time: 0.6660 data_time: 0.1724 memory: 17350 grad_norm: 5.3982 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0281 loss: 2.0281 2022/07/22 20:38:13 - mmengine - INFO - Epoch(train) [28][820/3757] lr: 1.0000e-02 eta: 2 days, 2:24:32 time: 0.6906 data_time: 0.1983 memory: 17350 grad_norm: 5.5380 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7363 loss: 1.7363 2022/07/22 20:38:25 - mmengine - INFO - Epoch(train) [28][840/3757] lr: 1.0000e-02 eta: 2 days, 2:24:14 time: 0.5925 data_time: 0.1994 memory: 17350 grad_norm: 5.4615 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8152 loss: 1.8152 2022/07/22 20:38:40 - mmengine - INFO - Epoch(train) [28][860/3757] lr: 1.0000e-02 eta: 2 days, 2:24:05 time: 0.7274 data_time: 0.3572 memory: 17350 grad_norm: 5.3708 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9104 loss: 1.9104 2022/07/22 20:38:52 - mmengine - INFO - Epoch(train) [28][880/3757] lr: 1.0000e-02 eta: 2 days, 2:23:49 time: 0.6230 data_time: 0.2862 memory: 17350 grad_norm: 5.2992 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7207 loss: 1.7207 2022/07/22 20:39:07 - mmengine - INFO - Epoch(train) [28][900/3757] lr: 1.0000e-02 eta: 2 days, 2:23:39 time: 0.7297 data_time: 0.4007 memory: 17350 grad_norm: 5.4292 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9676 loss: 1.9676 2022/07/22 20:39:19 - mmengine - INFO - Epoch(train) [28][920/3757] lr: 1.0000e-02 eta: 2 days, 2:23:22 time: 0.5873 data_time: 0.2415 memory: 17350 grad_norm: 5.4948 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9350 loss: 1.9350 2022/07/22 20:39:33 - mmengine - INFO - Epoch(train) [28][940/3757] lr: 1.0000e-02 eta: 2 days, 2:23:11 time: 0.7015 data_time: 0.3622 memory: 17350 grad_norm: 5.4301 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0751 loss: 2.0751 2022/07/22 20:39:45 - mmengine - INFO - Epoch(train) [28][960/3757] lr: 1.0000e-02 eta: 2 days, 2:22:54 time: 0.6060 data_time: 0.2748 memory: 17350 grad_norm: 5.4130 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8677 loss: 1.8677 2022/07/22 20:40:00 - mmengine - INFO - Epoch(train) [28][980/3757] lr: 1.0000e-02 eta: 2 days, 2:22:46 time: 0.7443 data_time: 0.4116 memory: 17350 grad_norm: 5.4711 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7199 loss: 1.7199 2022/07/22 20:40:12 - mmengine - INFO - Epoch(train) [28][1000/3757] lr: 1.0000e-02 eta: 2 days, 2:22:30 time: 0.6126 data_time: 0.2801 memory: 17350 grad_norm: 5.5529 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7340 loss: 1.7340 2022/07/22 20:40:27 - mmengine - INFO - Epoch(train) [28][1020/3757] lr: 1.0000e-02 eta: 2 days, 2:22:21 time: 0.7536 data_time: 0.4236 memory: 17350 grad_norm: 5.5640 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0311 loss: 2.0311 2022/07/22 20:40:39 - mmengine - INFO - Epoch(train) [28][1040/3757] lr: 1.0000e-02 eta: 2 days, 2:22:04 time: 0.6006 data_time: 0.2546 memory: 17350 grad_norm: 5.6258 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7994 loss: 1.7994 2022/07/22 20:40:54 - mmengine - INFO - Epoch(train) [28][1060/3757] lr: 1.0000e-02 eta: 2 days, 2:21:54 time: 0.7208 data_time: 0.3878 memory: 17350 grad_norm: 5.4042 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8325 loss: 1.8325 2022/07/22 20:41:06 - mmengine - INFO - Epoch(train) [28][1080/3757] lr: 1.0000e-02 eta: 2 days, 2:21:40 time: 0.6423 data_time: 0.3110 memory: 17350 grad_norm: 5.4310 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9838 loss: 1.9838 2022/07/22 20:41:21 - mmengine - INFO - Epoch(train) [28][1100/3757] lr: 1.0000e-02 eta: 2 days, 2:21:30 time: 0.7302 data_time: 0.3979 memory: 17350 grad_norm: 5.6304 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7550 loss: 1.7550 2022/07/22 20:41:33 - mmengine - INFO - Epoch(train) [28][1120/3757] lr: 1.0000e-02 eta: 2 days, 2:21:13 time: 0.5849 data_time: 0.2518 memory: 17350 grad_norm: 5.6463 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0352 loss: 2.0352 2022/07/22 20:41:47 - mmengine - INFO - Epoch(train) [28][1140/3757] lr: 1.0000e-02 eta: 2 days, 2:21:03 time: 0.7340 data_time: 0.4039 memory: 17350 grad_norm: 5.6080 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8681 loss: 1.8681 2022/07/22 20:41:59 - mmengine - INFO - Epoch(train) [28][1160/3757] lr: 1.0000e-02 eta: 2 days, 2:20:45 time: 0.5721 data_time: 0.2303 memory: 17350 grad_norm: 5.5325 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7312 loss: 1.7312 2022/07/22 20:42:13 - mmengine - INFO - Epoch(train) [28][1180/3757] lr: 1.0000e-02 eta: 2 days, 2:20:34 time: 0.7130 data_time: 0.3802 memory: 17350 grad_norm: 5.4353 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7527 loss: 1.7527 2022/07/22 20:42:26 - mmengine - INFO - Epoch(train) [28][1200/3757] lr: 1.0000e-02 eta: 2 days, 2:20:19 time: 0.6232 data_time: 0.2916 memory: 17350 grad_norm: 5.3694 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0863 loss: 2.0863 2022/07/22 20:42:40 - mmengine - INFO - Epoch(train) [28][1220/3757] lr: 1.0000e-02 eta: 2 days, 2:20:09 time: 0.7232 data_time: 0.3907 memory: 17350 grad_norm: 5.5138 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2464 loss: 2.2464 2022/07/22 20:42:52 - mmengine - INFO - Epoch(train) [28][1240/3757] lr: 1.0000e-02 eta: 2 days, 2:19:53 time: 0.6094 data_time: 0.2555 memory: 17350 grad_norm: 5.5559 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0695 loss: 2.0695 2022/07/22 20:43:07 - mmengine - INFO - Epoch(train) [28][1260/3757] lr: 1.0000e-02 eta: 2 days, 2:19:42 time: 0.7169 data_time: 0.3731 memory: 17350 grad_norm: 5.3768 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8160 loss: 1.8160 2022/07/22 20:43:19 - mmengine - INFO - Epoch(train) [28][1280/3757] lr: 1.0000e-02 eta: 2 days, 2:19:27 time: 0.6369 data_time: 0.1597 memory: 17350 grad_norm: 5.3899 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9545 loss: 1.9545 2022/07/22 20:43:32 - mmengine - INFO - Epoch(train) [28][1300/3757] lr: 1.0000e-02 eta: 2 days, 2:19:13 time: 0.6381 data_time: 0.0784 memory: 17350 grad_norm: 5.3494 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0780 loss: 2.0780 2022/07/22 20:43:46 - mmengine - INFO - Epoch(train) [28][1320/3757] lr: 1.0000e-02 eta: 2 days, 2:19:01 time: 0.6936 data_time: 0.0228 memory: 17350 grad_norm: 5.4351 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0005 loss: 2.0005 2022/07/22 20:43:58 - mmengine - INFO - Epoch(train) [28][1340/3757] lr: 1.0000e-02 eta: 2 days, 2:18:45 time: 0.6062 data_time: 0.0443 memory: 17350 grad_norm: 5.3503 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7755 loss: 1.7755 2022/07/22 20:44:12 - mmengine - INFO - Epoch(train) [28][1360/3757] lr: 1.0000e-02 eta: 2 days, 2:18:34 time: 0.7150 data_time: 0.0412 memory: 17350 grad_norm: 5.3955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4624 loss: 1.4624 2022/07/22 20:44:25 - mmengine - INFO - Epoch(train) [28][1380/3757] lr: 1.0000e-02 eta: 2 days, 2:18:20 time: 0.6376 data_time: 0.0722 memory: 17350 grad_norm: 5.5335 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1382 loss: 2.1382 2022/07/22 20:44:39 - mmengine - INFO - Epoch(train) [28][1400/3757] lr: 1.0000e-02 eta: 2 days, 2:18:08 time: 0.7032 data_time: 0.0968 memory: 17350 grad_norm: 5.4719 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9577 loss: 1.9577 2022/07/22 20:44:52 - mmengine - INFO - Epoch(train) [28][1420/3757] lr: 1.0000e-02 eta: 2 days, 2:17:55 time: 0.6559 data_time: 0.0380 memory: 17350 grad_norm: 5.6599 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8927 loss: 1.8927 2022/07/22 20:45:07 - mmengine - INFO - Epoch(train) [28][1440/3757] lr: 1.0000e-02 eta: 2 days, 2:17:44 time: 0.7112 data_time: 0.0670 memory: 17350 grad_norm: 5.5440 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.8598 loss: 1.8598 2022/07/22 20:45:19 - mmengine - INFO - Epoch(train) [28][1460/3757] lr: 1.0000e-02 eta: 2 days, 2:17:30 time: 0.6434 data_time: 0.1201 memory: 17350 grad_norm: 5.4272 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7891 loss: 1.7891 2022/07/22 20:45:33 - mmengine - INFO - Epoch(train) [28][1480/3757] lr: 1.0000e-02 eta: 2 days, 2:17:17 time: 0.6676 data_time: 0.1273 memory: 17350 grad_norm: 5.5707 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7853 loss: 1.7853 2022/07/22 20:45:46 - mmengine - INFO - Epoch(train) [28][1500/3757] lr: 1.0000e-02 eta: 2 days, 2:17:02 time: 0.6457 data_time: 0.1507 memory: 17350 grad_norm: 5.6403 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9732 loss: 1.9732 2022/07/22 20:46:00 - mmengine - INFO - Epoch(train) [28][1520/3757] lr: 1.0000e-02 eta: 2 days, 2:16:51 time: 0.6984 data_time: 0.1007 memory: 17350 grad_norm: 5.4763 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8687 loss: 1.8687 2022/07/22 20:46:12 - mmengine - INFO - Epoch(train) [28][1540/3757] lr: 1.0000e-02 eta: 2 days, 2:16:36 time: 0.6354 data_time: 0.1303 memory: 17350 grad_norm: 5.3474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7969 loss: 1.7969 2022/07/22 20:46:26 - mmengine - INFO - Epoch(train) [28][1560/3757] lr: 1.0000e-02 eta: 2 days, 2:16:23 time: 0.6705 data_time: 0.1234 memory: 17350 grad_norm: 5.3465 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8585 loss: 1.8585 2022/07/22 20:46:26 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 20:46:39 - mmengine - INFO - Epoch(train) [28][1580/3757] lr: 1.0000e-02 eta: 2 days, 2:16:10 time: 0.6728 data_time: 0.1628 memory: 17350 grad_norm: 5.1965 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7508 loss: 1.7508 2022/07/22 20:46:53 - mmengine - INFO - Epoch(train) [28][1600/3757] lr: 1.0000e-02 eta: 2 days, 2:15:59 time: 0.6937 data_time: 0.1398 memory: 17350 grad_norm: 5.4402 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7334 loss: 1.7334 2022/07/22 20:47:06 - mmengine - INFO - Epoch(train) [28][1620/3757] lr: 1.0000e-02 eta: 2 days, 2:15:44 time: 0.6382 data_time: 0.1767 memory: 17350 grad_norm: 5.4572 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9439 loss: 1.9439 2022/07/22 20:47:19 - mmengine - INFO - Epoch(train) [28][1640/3757] lr: 1.0000e-02 eta: 2 days, 2:15:30 time: 0.6485 data_time: 0.1913 memory: 17350 grad_norm: 5.2658 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9950 loss: 1.9950 2022/07/22 20:47:32 - mmengine - INFO - Epoch(train) [28][1660/3757] lr: 1.0000e-02 eta: 2 days, 2:15:16 time: 0.6533 data_time: 0.2057 memory: 17350 grad_norm: 5.4570 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9384 loss: 1.9384 2022/07/22 20:47:46 - mmengine - INFO - Epoch(train) [28][1680/3757] lr: 1.0000e-02 eta: 2 days, 2:15:05 time: 0.6979 data_time: 0.0683 memory: 17350 grad_norm: 5.4074 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0027 loss: 2.0027 2022/07/22 20:47:59 - mmengine - INFO - Epoch(train) [28][1700/3757] lr: 1.0000e-02 eta: 2 days, 2:14:52 time: 0.6695 data_time: 0.0250 memory: 17350 grad_norm: 5.4252 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8848 loss: 1.8848 2022/07/22 20:48:12 - mmengine - INFO - Epoch(train) [28][1720/3757] lr: 1.0000e-02 eta: 2 days, 2:14:37 time: 0.6369 data_time: 0.0439 memory: 17350 grad_norm: 5.5104 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1434 loss: 2.1434 2022/07/22 20:48:25 - mmengine - INFO - Epoch(train) [28][1740/3757] lr: 1.0000e-02 eta: 2 days, 2:14:22 time: 0.6376 data_time: 0.0809 memory: 17350 grad_norm: 5.4292 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9825 loss: 1.9825 2022/07/22 20:48:39 - mmengine - INFO - Epoch(train) [28][1760/3757] lr: 1.0000e-02 eta: 2 days, 2:14:11 time: 0.7021 data_time: 0.1132 memory: 17350 grad_norm: 5.5769 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7951 loss: 1.7951 2022/07/22 20:48:52 - mmengine - INFO - Epoch(train) [28][1780/3757] lr: 1.0000e-02 eta: 2 days, 2:13:57 time: 0.6434 data_time: 0.0756 memory: 17350 grad_norm: 5.6019 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0912 loss: 2.0912 2022/07/22 20:49:06 - mmengine - INFO - Epoch(train) [28][1800/3757] lr: 1.0000e-02 eta: 2 days, 2:13:46 time: 0.7109 data_time: 0.0381 memory: 17350 grad_norm: 5.6135 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0964 loss: 2.0964 2022/07/22 20:49:18 - mmengine - INFO - Epoch(train) [28][1820/3757] lr: 1.0000e-02 eta: 2 days, 2:13:28 time: 0.5747 data_time: 0.0336 memory: 17350 grad_norm: 5.4166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8483 loss: 1.8483 2022/07/22 20:49:32 - mmengine - INFO - Epoch(train) [28][1840/3757] lr: 1.0000e-02 eta: 2 days, 2:13:19 time: 0.7357 data_time: 0.0201 memory: 17350 grad_norm: 5.4164 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7432 loss: 1.7432 2022/07/22 20:49:45 - mmengine - INFO - Epoch(train) [28][1860/3757] lr: 1.0000e-02 eta: 2 days, 2:13:03 time: 0.6285 data_time: 0.0219 memory: 17350 grad_norm: 5.4349 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2015 loss: 2.2015 2022/07/22 20:49:58 - mmengine - INFO - Epoch(train) [28][1880/3757] lr: 1.0000e-02 eta: 2 days, 2:12:51 time: 0.6769 data_time: 0.0235 memory: 17350 grad_norm: 5.5647 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9130 loss: 1.9130 2022/07/22 20:50:11 - mmengine - INFO - Epoch(train) [28][1900/3757] lr: 1.0000e-02 eta: 2 days, 2:12:36 time: 0.6342 data_time: 0.0223 memory: 17350 grad_norm: 5.3680 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6659 loss: 1.6659 2022/07/22 20:50:26 - mmengine - INFO - Epoch(train) [28][1920/3757] lr: 1.0000e-02 eta: 2 days, 2:12:28 time: 0.7574 data_time: 0.0234 memory: 17350 grad_norm: 5.7170 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1495 loss: 2.1495 2022/07/22 20:50:39 - mmengine - INFO - Epoch(train) [28][1940/3757] lr: 1.0000e-02 eta: 2 days, 2:12:12 time: 0.6208 data_time: 0.0252 memory: 17350 grad_norm: 5.3864 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9957 loss: 1.9957 2022/07/22 20:50:54 - mmengine - INFO - Epoch(train) [28][1960/3757] lr: 1.0000e-02 eta: 2 days, 2:12:05 time: 0.7746 data_time: 0.0217 memory: 17350 grad_norm: 5.3070 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9005 loss: 1.9005 2022/07/22 20:51:04 - mmengine - INFO - Epoch(train) [28][1980/3757] lr: 1.0000e-02 eta: 2 days, 2:11:42 time: 0.4790 data_time: 0.0234 memory: 17350 grad_norm: 5.3920 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7494 loss: 1.7494 2022/07/22 20:51:19 - mmengine - INFO - Epoch(train) [28][2000/3757] lr: 1.0000e-02 eta: 2 days, 2:11:34 time: 0.7663 data_time: 0.0129 memory: 17350 grad_norm: 5.4042 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9769 loss: 1.9769 2022/07/22 20:51:31 - mmengine - INFO - Epoch(train) [28][2020/3757] lr: 1.0000e-02 eta: 2 days, 2:11:18 time: 0.6148 data_time: 0.0251 memory: 17350 grad_norm: 5.3188 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8393 loss: 1.8393 2022/07/22 20:51:47 - mmengine - INFO - Epoch(train) [28][2040/3757] lr: 1.0000e-02 eta: 2 days, 2:11:10 time: 0.7657 data_time: 0.0209 memory: 17350 grad_norm: 5.5965 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9352 loss: 1.9352 2022/07/22 20:51:58 - mmengine - INFO - Epoch(train) [28][2060/3757] lr: 1.0000e-02 eta: 2 days, 2:10:53 time: 0.5885 data_time: 0.0256 memory: 17350 grad_norm: 5.3603 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7270 loss: 1.7270 2022/07/22 20:52:13 - mmengine - INFO - Epoch(train) [28][2080/3757] lr: 1.0000e-02 eta: 2 days, 2:10:42 time: 0.7174 data_time: 0.0247 memory: 17350 grad_norm: 5.5491 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5880 loss: 1.5880 2022/07/22 20:52:25 - mmengine - INFO - Epoch(train) [28][2100/3757] lr: 1.0000e-02 eta: 2 days, 2:10:27 time: 0.6190 data_time: 0.0347 memory: 17350 grad_norm: 5.5447 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9206 loss: 1.9206 2022/07/22 20:52:40 - mmengine - INFO - Epoch(train) [28][2120/3757] lr: 1.0000e-02 eta: 2 days, 2:10:17 time: 0.7312 data_time: 0.0206 memory: 17350 grad_norm: 5.5851 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0425 loss: 2.0425 2022/07/22 20:52:51 - mmengine - INFO - Epoch(train) [28][2140/3757] lr: 1.0000e-02 eta: 2 days, 2:09:59 time: 0.5687 data_time: 0.0238 memory: 17350 grad_norm: 5.3980 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8035 loss: 1.8035 2022/07/22 20:53:06 - mmengine - INFO - Epoch(train) [28][2160/3757] lr: 1.0000e-02 eta: 2 days, 2:09:51 time: 0.7594 data_time: 0.0214 memory: 17350 grad_norm: 5.3987 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8471 loss: 1.8471 2022/07/22 20:53:18 - mmengine - INFO - Epoch(train) [28][2180/3757] lr: 1.0000e-02 eta: 2 days, 2:09:33 time: 0.5842 data_time: 0.0244 memory: 17350 grad_norm: 5.4140 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8610 loss: 1.8610 2022/07/22 20:53:32 - mmengine - INFO - Epoch(train) [28][2200/3757] lr: 1.0000e-02 eta: 2 days, 2:09:22 time: 0.7020 data_time: 0.0245 memory: 17350 grad_norm: 5.4579 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8839 loss: 1.8839 2022/07/22 20:53:45 - mmengine - INFO - Epoch(train) [28][2220/3757] lr: 1.0000e-02 eta: 2 days, 2:09:06 time: 0.6214 data_time: 0.0224 memory: 17350 grad_norm: 5.7969 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7100 loss: 1.7100 2022/07/22 20:53:59 - mmengine - INFO - Epoch(train) [28][2240/3757] lr: 1.0000e-02 eta: 2 days, 2:08:57 time: 0.7398 data_time: 0.0238 memory: 17350 grad_norm: 5.6676 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9582 loss: 1.9582 2022/07/22 20:54:11 - mmengine - INFO - Epoch(train) [28][2260/3757] lr: 1.0000e-02 eta: 2 days, 2:08:39 time: 0.5720 data_time: 0.0222 memory: 17350 grad_norm: 5.4354 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9992 loss: 1.9992 2022/07/22 20:54:25 - mmengine - INFO - Epoch(train) [28][2280/3757] lr: 1.0000e-02 eta: 2 days, 2:08:28 time: 0.7048 data_time: 0.0222 memory: 17350 grad_norm: 5.5280 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6054 loss: 1.6054 2022/07/22 20:54:37 - mmengine - INFO - Epoch(train) [28][2300/3757] lr: 1.0000e-02 eta: 2 days, 2:08:10 time: 0.5772 data_time: 0.0220 memory: 17350 grad_norm: 5.4068 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1506 loss: 2.1506 2022/07/22 20:54:50 - mmengine - INFO - Epoch(train) [28][2320/3757] lr: 1.0000e-02 eta: 2 days, 2:07:58 time: 0.6812 data_time: 0.0215 memory: 17350 grad_norm: 5.4766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1105 loss: 2.1105 2022/07/22 20:55:03 - mmengine - INFO - Epoch(train) [28][2340/3757] lr: 1.0000e-02 eta: 2 days, 2:07:44 time: 0.6463 data_time: 0.0231 memory: 17350 grad_norm: 5.3154 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8852 loss: 1.8852 2022/07/22 20:55:18 - mmengine - INFO - Epoch(train) [28][2360/3757] lr: 1.0000e-02 eta: 2 days, 2:07:35 time: 0.7450 data_time: 0.0245 memory: 17350 grad_norm: 5.6142 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2150 loss: 2.2150 2022/07/22 20:55:29 - mmengine - INFO - Epoch(train) [28][2380/3757] lr: 1.0000e-02 eta: 2 days, 2:07:16 time: 0.5572 data_time: 0.0388 memory: 17350 grad_norm: 5.7066 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8226 loss: 1.8226 2022/07/22 20:55:44 - mmengine - INFO - Epoch(train) [28][2400/3757] lr: 1.0000e-02 eta: 2 days, 2:07:07 time: 0.7592 data_time: 0.0211 memory: 17350 grad_norm: 5.4892 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9132 loss: 1.9132 2022/07/22 20:55:57 - mmengine - INFO - Epoch(train) [28][2420/3757] lr: 1.0000e-02 eta: 2 days, 2:06:51 time: 0.6112 data_time: 0.0231 memory: 17350 grad_norm: 5.5870 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1137 loss: 2.1137 2022/07/22 20:56:11 - mmengine - INFO - Epoch(train) [28][2440/3757] lr: 1.0000e-02 eta: 2 days, 2:06:40 time: 0.7042 data_time: 0.0216 memory: 17350 grad_norm: 5.4224 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7509 loss: 1.7509 2022/07/22 20:56:23 - mmengine - INFO - Epoch(train) [28][2460/3757] lr: 1.0000e-02 eta: 2 days, 2:06:24 time: 0.6102 data_time: 0.0232 memory: 17350 grad_norm: 5.4769 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9785 loss: 1.9785 2022/07/22 20:56:37 - mmengine - INFO - Epoch(train) [28][2480/3757] lr: 1.0000e-02 eta: 2 days, 2:06:14 time: 0.7256 data_time: 0.0217 memory: 17350 grad_norm: 5.5057 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7467 loss: 1.7467 2022/07/22 20:56:49 - mmengine - INFO - Epoch(train) [28][2500/3757] lr: 1.0000e-02 eta: 2 days, 2:05:57 time: 0.5862 data_time: 0.0244 memory: 17350 grad_norm: 5.4991 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0684 loss: 2.0684 2022/07/22 20:57:04 - mmengine - INFO - Epoch(train) [28][2520/3757] lr: 1.0000e-02 eta: 2 days, 2:05:47 time: 0.7220 data_time: 0.0220 memory: 17350 grad_norm: 5.3703 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0102 loss: 2.0102 2022/07/22 20:57:16 - mmengine - INFO - Epoch(train) [28][2540/3757] lr: 1.0000e-02 eta: 2 days, 2:05:32 time: 0.6341 data_time: 0.0243 memory: 17350 grad_norm: 5.6055 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1628 loss: 2.1628 2022/07/22 20:57:30 - mmengine - INFO - Epoch(train) [28][2560/3757] lr: 1.0000e-02 eta: 2 days, 2:05:20 time: 0.6829 data_time: 0.0203 memory: 17350 grad_norm: 5.6789 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0533 loss: 2.0533 2022/07/22 20:57:32 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 20:57:44 - mmengine - INFO - Epoch(train) [28][2580/3757] lr: 1.0000e-02 eta: 2 days, 2:05:09 time: 0.7189 data_time: 0.0239 memory: 17350 grad_norm: 5.5367 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9013 loss: 1.9013 2022/07/22 20:57:57 - mmengine - INFO - Epoch(train) [28][2600/3757] lr: 1.0000e-02 eta: 2 days, 2:04:53 time: 0.6118 data_time: 0.0223 memory: 17350 grad_norm: 5.6439 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9333 loss: 1.9333 2022/07/22 20:58:10 - mmengine - INFO - Epoch(train) [28][2620/3757] lr: 1.0000e-02 eta: 2 days, 2:04:41 time: 0.6767 data_time: 0.0215 memory: 17350 grad_norm: 5.3484 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2238 loss: 2.2238 2022/07/22 20:58:24 - mmengine - INFO - Epoch(train) [28][2640/3757] lr: 1.0000e-02 eta: 2 days, 2:04:29 time: 0.7009 data_time: 0.0234 memory: 17350 grad_norm: 5.2939 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7536 loss: 1.7536 2022/07/22 20:58:37 - mmengine - INFO - Epoch(train) [28][2660/3757] lr: 1.0000e-02 eta: 2 days, 2:04:15 time: 0.6390 data_time: 0.0243 memory: 17350 grad_norm: 5.3862 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9159 loss: 1.9159 2022/07/22 20:58:50 - mmengine - INFO - Epoch(train) [28][2680/3757] lr: 1.0000e-02 eta: 2 days, 2:04:01 time: 0.6479 data_time: 0.0217 memory: 17350 grad_norm: 5.4233 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6857 loss: 1.6857 2022/07/22 20:59:03 - mmengine - INFO - Epoch(train) [28][2700/3757] lr: 1.0000e-02 eta: 2 days, 2:03:48 time: 0.6801 data_time: 0.0238 memory: 17350 grad_norm: 5.5239 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9046 loss: 1.9046 2022/07/22 20:59:17 - mmengine - INFO - Epoch(train) [28][2720/3757] lr: 1.0000e-02 eta: 2 days, 2:03:35 time: 0.6666 data_time: 0.0221 memory: 17350 grad_norm: 5.5426 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9674 loss: 1.9674 2022/07/22 20:59:30 - mmengine - INFO - Epoch(train) [28][2740/3757] lr: 1.0000e-02 eta: 2 days, 2:03:22 time: 0.6613 data_time: 0.0229 memory: 17350 grad_norm: 5.5852 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2663 loss: 2.2663 2022/07/22 20:59:42 - mmengine - INFO - Epoch(train) [28][2760/3757] lr: 1.0000e-02 eta: 2 days, 2:03:06 time: 0.6196 data_time: 0.0215 memory: 17350 grad_norm: 5.4873 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9198 loss: 1.9198 2022/07/22 20:59:56 - mmengine - INFO - Epoch(train) [28][2780/3757] lr: 1.0000e-02 eta: 2 days, 2:02:54 time: 0.6788 data_time: 0.0226 memory: 17350 grad_norm: 5.3924 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6162 loss: 1.6162 2022/07/22 21:00:09 - mmengine - INFO - Epoch(train) [28][2800/3757] lr: 1.0000e-02 eta: 2 days, 2:02:40 time: 0.6490 data_time: 0.0344 memory: 17350 grad_norm: 5.5915 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1166 loss: 2.1166 2022/07/22 21:00:23 - mmengine - INFO - Epoch(train) [28][2820/3757] lr: 1.0000e-02 eta: 2 days, 2:02:27 time: 0.6800 data_time: 0.0233 memory: 17350 grad_norm: 5.4569 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7041 loss: 1.7041 2022/07/22 21:00:35 - mmengine - INFO - Epoch(train) [28][2840/3757] lr: 1.0000e-02 eta: 2 days, 2:02:12 time: 0.6315 data_time: 0.0219 memory: 17350 grad_norm: 5.4527 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1185 loss: 2.1185 2022/07/22 21:00:50 - mmengine - INFO - Epoch(train) [28][2860/3757] lr: 1.0000e-02 eta: 2 days, 2:02:02 time: 0.7133 data_time: 0.0247 memory: 17350 grad_norm: 5.3571 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9799 loss: 1.9799 2022/07/22 21:01:02 - mmengine - INFO - Epoch(train) [28][2880/3757] lr: 1.0000e-02 eta: 2 days, 2:01:45 time: 0.6109 data_time: 0.0353 memory: 17350 grad_norm: 5.3536 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8237 loss: 1.8237 2022/07/22 21:01:16 - mmengine - INFO - Epoch(train) [28][2900/3757] lr: 1.0000e-02 eta: 2 days, 2:01:34 time: 0.7076 data_time: 0.0245 memory: 17350 grad_norm: 5.4935 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9426 loss: 1.9426 2022/07/22 21:01:29 - mmengine - INFO - Epoch(train) [28][2920/3757] lr: 1.0000e-02 eta: 2 days, 2:01:20 time: 0.6443 data_time: 0.0937 memory: 17350 grad_norm: 5.3874 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2998 loss: 2.2998 2022/07/22 21:01:42 - mmengine - INFO - Epoch(train) [28][2940/3757] lr: 1.0000e-02 eta: 2 days, 2:01:08 time: 0.6775 data_time: 0.0758 memory: 17350 grad_norm: 5.5065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9295 loss: 1.9295 2022/07/22 21:01:55 - mmengine - INFO - Epoch(train) [28][2960/3757] lr: 1.0000e-02 eta: 2 days, 2:00:53 time: 0.6372 data_time: 0.0670 memory: 17350 grad_norm: 5.5020 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7762 loss: 1.7762 2022/07/22 21:02:10 - mmengine - INFO - Epoch(train) [28][2980/3757] lr: 1.0000e-02 eta: 2 days, 2:00:44 time: 0.7537 data_time: 0.2346 memory: 17350 grad_norm: 5.3692 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0437 loss: 2.0437 2022/07/22 21:02:22 - mmengine - INFO - Epoch(train) [28][3000/3757] lr: 1.0000e-02 eta: 2 days, 2:00:27 time: 0.5756 data_time: 0.1628 memory: 17350 grad_norm: 5.5283 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8096 loss: 1.8096 2022/07/22 21:02:36 - mmengine - INFO - Epoch(train) [28][3020/3757] lr: 1.0000e-02 eta: 2 days, 2:00:16 time: 0.7191 data_time: 0.2824 memory: 17350 grad_norm: 5.3428 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9112 loss: 1.9112 2022/07/22 21:02:49 - mmengine - INFO - Epoch(train) [28][3040/3757] lr: 1.0000e-02 eta: 2 days, 2:00:02 time: 0.6536 data_time: 0.2583 memory: 17350 grad_norm: 5.6160 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9460 loss: 1.9460 2022/07/22 21:03:03 - mmengine - INFO - Epoch(train) [28][3060/3757] lr: 1.0000e-02 eta: 2 days, 1:59:51 time: 0.7000 data_time: 0.3091 memory: 17350 grad_norm: 5.4907 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8319 loss: 1.8319 2022/07/22 21:03:15 - mmengine - INFO - Epoch(train) [28][3080/3757] lr: 1.0000e-02 eta: 2 days, 1:59:34 time: 0.5905 data_time: 0.2049 memory: 17350 grad_norm: 5.5569 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7166 loss: 1.7166 2022/07/22 21:03:30 - mmengine - INFO - Epoch(train) [28][3100/3757] lr: 1.0000e-02 eta: 2 days, 1:59:24 time: 0.7262 data_time: 0.2306 memory: 17350 grad_norm: 5.5340 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6411 loss: 1.6411 2022/07/22 21:03:41 - mmengine - INFO - Epoch(train) [28][3120/3757] lr: 1.0000e-02 eta: 2 days, 1:59:07 time: 0.5939 data_time: 0.1796 memory: 17350 grad_norm: 5.4363 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0700 loss: 2.0700 2022/07/22 21:03:56 - mmengine - INFO - Epoch(train) [28][3140/3757] lr: 1.0000e-02 eta: 2 days, 1:58:57 time: 0.7268 data_time: 0.2690 memory: 17350 grad_norm: 5.4321 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0394 loss: 2.0394 2022/07/22 21:04:08 - mmengine - INFO - Epoch(train) [28][3160/3757] lr: 1.0000e-02 eta: 2 days, 1:58:42 time: 0.6228 data_time: 0.2013 memory: 17350 grad_norm: 5.6130 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9430 loss: 1.9430 2022/07/22 21:04:22 - mmengine - INFO - Epoch(train) [28][3180/3757] lr: 1.0000e-02 eta: 2 days, 1:58:30 time: 0.6975 data_time: 0.2402 memory: 17350 grad_norm: 5.6190 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0859 loss: 2.0859 2022/07/22 21:04:35 - mmengine - INFO - Epoch(train) [28][3200/3757] lr: 1.0000e-02 eta: 2 days, 1:58:16 time: 0.6496 data_time: 0.2619 memory: 17350 grad_norm: 5.4597 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8827 loss: 1.8827 2022/07/22 21:04:49 - mmengine - INFO - Epoch(train) [28][3220/3757] lr: 1.0000e-02 eta: 2 days, 1:58:03 time: 0.6675 data_time: 0.2995 memory: 17350 grad_norm: 5.3122 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8651 loss: 1.8651 2022/07/22 21:05:00 - mmengine - INFO - Epoch(train) [28][3240/3757] lr: 1.0000e-02 eta: 2 days, 1:57:46 time: 0.5852 data_time: 0.1265 memory: 17350 grad_norm: 5.5164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7300 loss: 1.7300 2022/07/22 21:05:16 - mmengine - INFO - Epoch(train) [28][3260/3757] lr: 1.0000e-02 eta: 2 days, 1:57:39 time: 0.7973 data_time: 0.3742 memory: 17350 grad_norm: 5.5251 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9805 loss: 1.9805 2022/07/22 21:05:29 - mmengine - INFO - Epoch(train) [28][3280/3757] lr: 1.0000e-02 eta: 2 days, 1:57:24 time: 0.6174 data_time: 0.2873 memory: 17350 grad_norm: 5.4277 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7802 loss: 1.7802 2022/07/22 21:05:43 - mmengine - INFO - Epoch(train) [28][3300/3757] lr: 1.0000e-02 eta: 2 days, 1:57:14 time: 0.7303 data_time: 0.3989 memory: 17350 grad_norm: 5.6184 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0875 loss: 2.0875 2022/07/22 21:05:56 - mmengine - INFO - Epoch(train) [28][3320/3757] lr: 1.0000e-02 eta: 2 days, 1:56:58 time: 0.6236 data_time: 0.2891 memory: 17350 grad_norm: 5.5637 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8784 loss: 1.8784 2022/07/22 21:06:10 - mmengine - INFO - Epoch(train) [28][3340/3757] lr: 1.0000e-02 eta: 2 days, 1:56:47 time: 0.6992 data_time: 0.3694 memory: 17350 grad_norm: 5.3506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8981 loss: 1.8981 2022/07/22 21:06:22 - mmengine - INFO - Epoch(train) [28][3360/3757] lr: 1.0000e-02 eta: 2 days, 1:56:30 time: 0.5907 data_time: 0.2554 memory: 17350 grad_norm: 5.4248 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.6163 loss: 1.6163 2022/07/22 21:06:36 - mmengine - INFO - Epoch(train) [28][3380/3757] lr: 1.0000e-02 eta: 2 days, 1:56:19 time: 0.7172 data_time: 0.3867 memory: 17350 grad_norm: 5.6332 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7598 loss: 1.7598 2022/07/22 21:06:49 - mmengine - INFO - Epoch(train) [28][3400/3757] lr: 1.0000e-02 eta: 2 days, 1:56:04 time: 0.6246 data_time: 0.2920 memory: 17350 grad_norm: 5.2326 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7540 loss: 1.7540 2022/07/22 21:07:02 - mmengine - INFO - Epoch(train) [28][3420/3757] lr: 1.0000e-02 eta: 2 days, 1:55:52 time: 0.6927 data_time: 0.3560 memory: 17350 grad_norm: 5.2706 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9650 loss: 1.9650 2022/07/22 21:07:14 - mmengine - INFO - Epoch(train) [28][3440/3757] lr: 1.0000e-02 eta: 2 days, 1:55:36 time: 0.6048 data_time: 0.2163 memory: 17350 grad_norm: 5.2935 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0208 loss: 2.0208 2022/07/22 21:07:29 - mmengine - INFO - Epoch(train) [28][3460/3757] lr: 1.0000e-02 eta: 2 days, 1:55:26 time: 0.7332 data_time: 0.3509 memory: 17350 grad_norm: 5.4300 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8813 loss: 1.8813 2022/07/22 21:07:41 - mmengine - INFO - Epoch(train) [28][3480/3757] lr: 1.0000e-02 eta: 2 days, 1:55:10 time: 0.6023 data_time: 0.2708 memory: 17350 grad_norm: 5.5427 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0003 loss: 2.0003 2022/07/22 21:07:56 - mmengine - INFO - Epoch(train) [28][3500/3757] lr: 1.0000e-02 eta: 2 days, 1:55:01 time: 0.7440 data_time: 0.4123 memory: 17350 grad_norm: 5.4814 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6507 loss: 1.6507 2022/07/22 21:08:07 - mmengine - INFO - Epoch(train) [28][3520/3757] lr: 1.0000e-02 eta: 2 days, 1:54:43 time: 0.5689 data_time: 0.2399 memory: 17350 grad_norm: 5.7473 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8957 loss: 1.8957 2022/07/22 21:08:23 - mmengine - INFO - Epoch(train) [28][3540/3757] lr: 1.0000e-02 eta: 2 days, 1:54:35 time: 0.7678 data_time: 0.4386 memory: 17350 grad_norm: 5.4792 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8630 loss: 1.8630 2022/07/22 21:08:35 - mmengine - INFO - Epoch(train) [28][3560/3757] lr: 1.0000e-02 eta: 2 days, 1:54:19 time: 0.6234 data_time: 0.2914 memory: 17350 grad_norm: 5.2665 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0632 loss: 2.0632 2022/07/22 21:08:36 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 21:08:50 - mmengine - INFO - Epoch(train) [28][3580/3757] lr: 1.0000e-02 eta: 2 days, 1:54:09 time: 0.7119 data_time: 0.3380 memory: 17350 grad_norm: 5.4468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9378 loss: 1.9378 2022/07/22 21:09:01 - mmengine - INFO - Epoch(train) [28][3600/3757] lr: 1.0000e-02 eta: 2 days, 1:53:51 time: 0.5754 data_time: 0.1727 memory: 17350 grad_norm: 5.4615 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9856 loss: 1.9856 2022/07/22 21:09:16 - mmengine - INFO - Epoch(train) [28][3620/3757] lr: 1.0000e-02 eta: 2 days, 1:53:42 time: 0.7539 data_time: 0.2347 memory: 17350 grad_norm: 5.3567 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8812 loss: 1.8812 2022/07/22 21:09:28 - mmengine - INFO - Epoch(train) [28][3640/3757] lr: 1.0000e-02 eta: 2 days, 1:53:25 time: 0.5851 data_time: 0.0901 memory: 17350 grad_norm: 5.4380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9437 loss: 1.9437 2022/07/22 21:09:42 - mmengine - INFO - Epoch(train) [28][3660/3757] lr: 1.0000e-02 eta: 2 days, 1:53:15 time: 0.7303 data_time: 0.1723 memory: 17350 grad_norm: 5.3351 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0730 loss: 2.0730 2022/07/22 21:09:55 - mmengine - INFO - Epoch(train) [28][3680/3757] lr: 1.0000e-02 eta: 2 days, 1:52:59 time: 0.6010 data_time: 0.1309 memory: 17350 grad_norm: 5.4181 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8834 loss: 1.8834 2022/07/22 21:10:09 - mmengine - INFO - Epoch(train) [28][3700/3757] lr: 1.0000e-02 eta: 2 days, 1:52:49 time: 0.7382 data_time: 0.1391 memory: 17350 grad_norm: 5.5062 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9307 loss: 1.9307 2022/07/22 21:10:21 - mmengine - INFO - Epoch(train) [28][3720/3757] lr: 1.0000e-02 eta: 2 days, 1:52:31 time: 0.5766 data_time: 0.0233 memory: 17350 grad_norm: 5.6537 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9254 loss: 1.9254 2022/07/22 21:10:35 - mmengine - INFO - Epoch(train) [28][3740/3757] lr: 1.0000e-02 eta: 2 days, 1:52:21 time: 0.7256 data_time: 0.0215 memory: 17350 grad_norm: 5.2912 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6245 loss: 1.6245 2022/07/22 21:10:43 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 21:10:43 - mmengine - INFO - Epoch(train) [28][3757/3757] lr: 1.0000e-02 eta: 2 days, 1:52:21 time: 0.4910 data_time: 0.0216 memory: 17350 grad_norm: 5.5051 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.0057 loss: 2.0057 2022/07/22 21:11:00 - mmengine - INFO - Epoch(val) [28][20/310] eta: 0:04:06 time: 0.8502 data_time: 0.7371 memory: 3406 2022/07/22 21:11:12 - mmengine - INFO - Epoch(val) [28][40/310] eta: 0:02:42 time: 0.6006 data_time: 0.4889 memory: 3406 2022/07/22 21:11:25 - mmengine - INFO - Epoch(val) [28][60/310] eta: 0:02:51 time: 0.6857 data_time: 0.5708 memory: 3406 2022/07/22 21:11:37 - mmengine - INFO - Epoch(val) [28][80/310] eta: 0:02:14 time: 0.5858 data_time: 0.4745 memory: 3406 2022/07/22 21:11:52 - mmengine - INFO - Epoch(val) [28][100/310] eta: 0:02:30 time: 0.7183 data_time: 0.6059 memory: 3406 2022/07/22 21:12:03 - mmengine - INFO - Epoch(val) [28][120/310] eta: 0:01:52 time: 0.5911 data_time: 0.4776 memory: 3406 2022/07/22 21:12:19 - mmengine - INFO - Epoch(val) [28][140/310] eta: 0:02:14 time: 0.7906 data_time: 0.6762 memory: 3406 2022/07/22 21:12:31 - mmengine - INFO - Epoch(val) [28][160/310] eta: 0:01:25 time: 0.5722 data_time: 0.4559 memory: 3406 2022/07/22 21:12:46 - mmengine - INFO - Epoch(val) [28][180/310] eta: 0:01:37 time: 0.7467 data_time: 0.6332 memory: 3406 2022/07/22 21:12:58 - mmengine - INFO - Epoch(val) [28][200/310] eta: 0:01:08 time: 0.6251 data_time: 0.5113 memory: 3406 2022/07/22 21:13:14 - mmengine - INFO - Epoch(val) [28][220/310] eta: 0:01:12 time: 0.8013 data_time: 0.6877 memory: 3406 2022/07/22 21:13:25 - mmengine - INFO - Epoch(val) [28][240/310] eta: 0:00:36 time: 0.5268 data_time: 0.4146 memory: 3406 2022/07/22 21:13:39 - mmengine - INFO - Epoch(val) [28][260/310] eta: 0:00:37 time: 0.7400 data_time: 0.6238 memory: 3406 2022/07/22 21:13:50 - mmengine - INFO - Epoch(val) [28][280/310] eta: 0:00:16 time: 0.5512 data_time: 0.4338 memory: 3406 2022/07/22 21:14:05 - mmengine - INFO - Epoch(val) [28][300/310] eta: 0:00:07 time: 0.7047 data_time: 0.5924 memory: 3406 2022/07/22 21:14:09 - mmengine - INFO - Epoch(val) [28][310/310] acc/top1: 0.5824 acc/top5: 0.8187 acc/mean1: 0.5823 2022/07/22 21:14:10 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_28.pth is removed 2022/07/22 21:14:14 - mmengine - INFO - The best checkpoint with 0.5824 acc/top1 at 29 epoch is saved to best_acc/top1_epoch_29.pth. 2022/07/22 21:14:31 - mmengine - INFO - Epoch(train) [29][20/3757] lr: 1.0000e-02 eta: 2 days, 1:51:37 time: 0.8513 data_time: 0.5178 memory: 17350 grad_norm: 5.3392 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8550 loss: 1.8550 2022/07/22 21:14:42 - mmengine - INFO - Epoch(train) [29][40/3757] lr: 1.0000e-02 eta: 2 days, 1:51:18 time: 0.5539 data_time: 0.2226 memory: 17350 grad_norm: 5.2694 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0858 loss: 2.0858 2022/07/22 21:14:56 - mmengine - INFO - Epoch(train) [29][60/3757] lr: 1.0000e-02 eta: 2 days, 1:51:09 time: 0.7395 data_time: 0.4036 memory: 17350 grad_norm: 5.3727 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8971 loss: 1.8971 2022/07/22 21:15:09 - mmengine - INFO - Epoch(train) [29][80/3757] lr: 1.0000e-02 eta: 2 days, 1:50:53 time: 0.6130 data_time: 0.2817 memory: 17350 grad_norm: 5.3469 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5381 loss: 1.5381 2022/07/22 21:15:23 - mmengine - INFO - Epoch(train) [29][100/3757] lr: 1.0000e-02 eta: 2 days, 1:50:43 time: 0.7250 data_time: 0.3895 memory: 17350 grad_norm: 5.5593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8728 loss: 1.8728 2022/07/22 21:15:35 - mmengine - INFO - Epoch(train) [29][120/3757] lr: 1.0000e-02 eta: 2 days, 1:50:25 time: 0.5756 data_time: 0.2460 memory: 17350 grad_norm: 5.2244 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7390 loss: 1.7390 2022/07/22 21:15:49 - mmengine - INFO - Epoch(train) [29][140/3757] lr: 1.0000e-02 eta: 2 days, 1:50:15 time: 0.7197 data_time: 0.3814 memory: 17350 grad_norm: 5.6360 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0385 loss: 2.0385 2022/07/22 21:16:01 - mmengine - INFO - Epoch(train) [29][160/3757] lr: 1.0000e-02 eta: 2 days, 1:49:57 time: 0.5729 data_time: 0.2337 memory: 17350 grad_norm: 5.7250 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9408 loss: 1.9408 2022/07/22 21:16:16 - mmengine - INFO - Epoch(train) [29][180/3757] lr: 1.0000e-02 eta: 2 days, 1:49:48 time: 0.7508 data_time: 0.4155 memory: 17350 grad_norm: 5.6426 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7161 loss: 1.7161 2022/07/22 21:16:27 - mmengine - INFO - Epoch(train) [29][200/3757] lr: 1.0000e-02 eta: 2 days, 1:49:31 time: 0.5832 data_time: 0.2398 memory: 17350 grad_norm: 5.3099 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7443 loss: 1.7443 2022/07/22 21:16:42 - mmengine - INFO - Epoch(train) [29][220/3757] lr: 1.0000e-02 eta: 2 days, 1:49:21 time: 0.7295 data_time: 0.3814 memory: 17350 grad_norm: 5.4155 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8447 loss: 1.8447 2022/07/22 21:16:54 - mmengine - INFO - Epoch(train) [29][240/3757] lr: 1.0000e-02 eta: 2 days, 1:49:04 time: 0.6017 data_time: 0.2298 memory: 17350 grad_norm: 5.4665 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8794 loss: 1.8794 2022/07/22 21:17:09 - mmengine - INFO - Epoch(train) [29][260/3757] lr: 1.0000e-02 eta: 2 days, 1:48:54 time: 0.7290 data_time: 0.3578 memory: 17350 grad_norm: 5.6170 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2351 loss: 2.2351 2022/07/22 21:17:21 - mmengine - INFO - Epoch(train) [29][280/3757] lr: 1.0000e-02 eta: 2 days, 1:48:38 time: 0.6039 data_time: 0.2397 memory: 17350 grad_norm: 5.4044 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8829 loss: 1.8829 2022/07/22 21:17:36 - mmengine - INFO - Epoch(train) [29][300/3757] lr: 1.0000e-02 eta: 2 days, 1:48:29 time: 0.7515 data_time: 0.3402 memory: 17350 grad_norm: 5.3784 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7029 loss: 1.7029 2022/07/22 21:17:48 - mmengine - INFO - Epoch(train) [29][320/3757] lr: 1.0000e-02 eta: 2 days, 1:48:14 time: 0.6298 data_time: 0.2311 memory: 17350 grad_norm: 5.4681 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0025 loss: 2.0025 2022/07/22 21:18:01 - mmengine - INFO - Epoch(train) [29][340/3757] lr: 1.0000e-02 eta: 2 days, 1:48:01 time: 0.6594 data_time: 0.2610 memory: 17350 grad_norm: 5.3275 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1113 loss: 2.1113 2022/07/22 21:18:14 - mmengine - INFO - Epoch(train) [29][360/3757] lr: 1.0000e-02 eta: 2 days, 1:47:45 time: 0.6166 data_time: 0.2460 memory: 17350 grad_norm: 5.4023 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7798 loss: 1.7798 2022/07/22 21:18:27 - mmengine - INFO - Epoch(train) [29][380/3757] lr: 1.0000e-02 eta: 2 days, 1:47:33 time: 0.6748 data_time: 0.1226 memory: 17350 grad_norm: 5.3863 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5202 loss: 1.5202 2022/07/22 21:18:42 - mmengine - INFO - Epoch(train) [29][400/3757] lr: 1.0000e-02 eta: 2 days, 1:47:23 time: 0.7377 data_time: 0.0213 memory: 17350 grad_norm: 5.6254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9831 loss: 1.9831 2022/07/22 21:18:55 - mmengine - INFO - Epoch(train) [29][420/3757] lr: 1.0000e-02 eta: 2 days, 1:47:08 time: 0.6236 data_time: 0.1005 memory: 17350 grad_norm: 5.2047 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4137 loss: 1.4137 2022/07/22 21:19:08 - mmengine - INFO - Epoch(train) [29][440/3757] lr: 1.0000e-02 eta: 2 days, 1:46:56 time: 0.6908 data_time: 0.0360 memory: 17350 grad_norm: 5.4286 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8476 loss: 1.8476 2022/07/22 21:19:21 - mmengine - INFO - Epoch(train) [29][460/3757] lr: 1.0000e-02 eta: 2 days, 1:46:41 time: 0.6415 data_time: 0.1008 memory: 17350 grad_norm: 5.1875 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0253 loss: 2.0253 2022/07/22 21:19:34 - mmengine - INFO - Epoch(train) [29][480/3757] lr: 1.0000e-02 eta: 2 days, 1:46:28 time: 0.6511 data_time: 0.1476 memory: 17350 grad_norm: 5.5683 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7649 loss: 1.7649 2022/07/22 21:19:50 - mmengine - INFO - Epoch(train) [29][500/3757] lr: 1.0000e-02 eta: 2 days, 1:46:20 time: 0.7742 data_time: 0.1895 memory: 17350 grad_norm: 5.5241 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1314 loss: 2.1314 2022/07/22 21:20:02 - mmengine - INFO - Epoch(train) [29][520/3757] lr: 1.0000e-02 eta: 2 days, 1:46:03 time: 0.5872 data_time: 0.0630 memory: 17350 grad_norm: 5.4700 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8223 loss: 1.8223 2022/07/22 21:20:18 - mmengine - INFO - Epoch(train) [29][540/3757] lr: 1.0000e-02 eta: 2 days, 1:45:56 time: 0.7998 data_time: 0.0734 memory: 17350 grad_norm: 5.4570 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9762 loss: 1.9762 2022/07/22 21:20:28 - mmengine - INFO - Epoch(train) [29][560/3757] lr: 1.0000e-02 eta: 2 days, 1:45:36 time: 0.5280 data_time: 0.0225 memory: 17350 grad_norm: 5.3730 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0173 loss: 2.0173 2022/07/22 21:20:42 - mmengine - INFO - Epoch(train) [29][580/3757] lr: 1.0000e-02 eta: 2 days, 1:45:25 time: 0.6956 data_time: 0.0211 memory: 17350 grad_norm: 5.4484 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8620 loss: 1.8620 2022/07/22 21:20:55 - mmengine - INFO - Epoch(train) [29][600/3757] lr: 1.0000e-02 eta: 2 days, 1:45:11 time: 0.6653 data_time: 0.0228 memory: 17350 grad_norm: 5.4339 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5875 loss: 1.5875 2022/07/22 21:21:11 - mmengine - INFO - Epoch(train) [29][620/3757] lr: 1.0000e-02 eta: 2 days, 1:45:04 time: 0.7711 data_time: 0.0250 memory: 17350 grad_norm: 5.4173 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8759 loss: 1.8759 2022/07/22 21:21:22 - mmengine - INFO - Epoch(train) [29][640/3757] lr: 1.0000e-02 eta: 2 days, 1:44:46 time: 0.5755 data_time: 0.0253 memory: 17350 grad_norm: 5.5459 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9423 loss: 1.9423 2022/07/22 21:21:38 - mmengine - INFO - Epoch(train) [29][660/3757] lr: 1.0000e-02 eta: 2 days, 1:44:38 time: 0.7724 data_time: 0.0222 memory: 17350 grad_norm: 5.4513 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1008 loss: 2.1008 2022/07/22 21:21:50 - mmengine - INFO - Epoch(train) [29][680/3757] lr: 1.0000e-02 eta: 2 days, 1:44:23 time: 0.6271 data_time: 0.0230 memory: 17350 grad_norm: 5.3185 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7352 loss: 1.7352 2022/07/22 21:22:04 - mmengine - INFO - Epoch(train) [29][700/3757] lr: 1.0000e-02 eta: 2 days, 1:44:10 time: 0.6715 data_time: 0.0222 memory: 17350 grad_norm: 5.4327 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7381 loss: 1.7381 2022/07/22 21:22:15 - mmengine - INFO - Epoch(train) [29][720/3757] lr: 1.0000e-02 eta: 2 days, 1:43:53 time: 0.5873 data_time: 0.0242 memory: 17350 grad_norm: 5.4231 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8150 loss: 1.8150 2022/07/22 21:22:30 - mmengine - INFO - Epoch(train) [29][740/3757] lr: 1.0000e-02 eta: 2 days, 1:43:43 time: 0.7245 data_time: 0.0211 memory: 17350 grad_norm: 5.2793 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8478 loss: 1.8478 2022/07/22 21:22:42 - mmengine - INFO - Epoch(train) [29][760/3757] lr: 1.0000e-02 eta: 2 days, 1:43:26 time: 0.5917 data_time: 0.0226 memory: 17350 grad_norm: 5.2488 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8293 loss: 1.8293 2022/07/22 21:22:57 - mmengine - INFO - Epoch(train) [29][780/3757] lr: 1.0000e-02 eta: 2 days, 1:43:18 time: 0.7667 data_time: 0.0231 memory: 17350 grad_norm: 5.7713 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1742 loss: 2.1742 2022/07/22 21:23:09 - mmengine - INFO - Epoch(train) [29][800/3757] lr: 1.0000e-02 eta: 2 days, 1:43:00 time: 0.5785 data_time: 0.0290 memory: 17350 grad_norm: 5.4697 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8602 loss: 1.8602 2022/07/22 21:23:13 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 21:23:23 - mmengine - INFO - Epoch(train) [29][820/3757] lr: 1.0000e-02 eta: 2 days, 1:42:49 time: 0.6951 data_time: 0.0221 memory: 17350 grad_norm: 5.4928 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9054 loss: 1.9054 2022/07/22 21:23:35 - mmengine - INFO - Epoch(train) [29][840/3757] lr: 1.0000e-02 eta: 2 days, 1:42:32 time: 0.6003 data_time: 0.0230 memory: 17350 grad_norm: 5.4732 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9676 loss: 1.9676 2022/07/22 21:23:49 - mmengine - INFO - Epoch(train) [29][860/3757] lr: 1.0000e-02 eta: 2 days, 1:42:22 time: 0.7320 data_time: 0.0464 memory: 17350 grad_norm: 5.3755 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1643 loss: 2.1643 2022/07/22 21:24:01 - mmengine - INFO - Epoch(train) [29][880/3757] lr: 1.0000e-02 eta: 2 days, 1:42:05 time: 0.5787 data_time: 0.0234 memory: 17350 grad_norm: 5.4460 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8048 loss: 1.8048 2022/07/22 21:24:16 - mmengine - INFO - Epoch(train) [29][900/3757] lr: 1.0000e-02 eta: 2 days, 1:41:55 time: 0.7330 data_time: 0.0213 memory: 17350 grad_norm: 5.5727 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7994 loss: 1.7994 2022/07/22 21:24:29 - mmengine - INFO - Epoch(train) [29][920/3757] lr: 1.0000e-02 eta: 2 days, 1:41:41 time: 0.6517 data_time: 0.0234 memory: 17350 grad_norm: 5.4509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9870 loss: 1.9870 2022/07/22 21:24:43 - mmengine - INFO - Epoch(train) [29][940/3757] lr: 1.0000e-02 eta: 2 days, 1:41:30 time: 0.7128 data_time: 0.0232 memory: 17350 grad_norm: 5.3177 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8213 loss: 1.8213 2022/07/22 21:24:54 - mmengine - INFO - Epoch(train) [29][960/3757] lr: 1.0000e-02 eta: 2 days, 1:41:12 time: 0.5672 data_time: 0.0225 memory: 17350 grad_norm: 5.5294 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8265 loss: 1.8265 2022/07/22 21:25:08 - mmengine - INFO - Epoch(train) [29][980/3757] lr: 1.0000e-02 eta: 2 days, 1:41:00 time: 0.6778 data_time: 0.0225 memory: 17350 grad_norm: 5.5608 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8104 loss: 1.8104 2022/07/22 21:25:21 - mmengine - INFO - Epoch(train) [29][1000/3757] lr: 1.0000e-02 eta: 2 days, 1:40:47 time: 0.6734 data_time: 0.0275 memory: 17350 grad_norm: 5.5019 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9831 loss: 1.9831 2022/07/22 21:25:35 - mmengine - INFO - Epoch(train) [29][1020/3757] lr: 1.0000e-02 eta: 2 days, 1:40:34 time: 0.6824 data_time: 0.0221 memory: 17350 grad_norm: 5.5855 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8778 loss: 1.8778 2022/07/22 21:25:48 - mmengine - INFO - Epoch(train) [29][1040/3757] lr: 1.0000e-02 eta: 2 days, 1:40:21 time: 0.6682 data_time: 0.0249 memory: 17350 grad_norm: 5.5625 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8012 loss: 1.8012 2022/07/22 21:26:01 - mmengine - INFO - Epoch(train) [29][1060/3757] lr: 1.0000e-02 eta: 2 days, 1:40:08 time: 0.6555 data_time: 0.0224 memory: 17350 grad_norm: 5.3599 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0300 loss: 2.0300 2022/07/22 21:26:14 - mmengine - INFO - Epoch(train) [29][1080/3757] lr: 1.0000e-02 eta: 2 days, 1:39:52 time: 0.6147 data_time: 0.0233 memory: 17350 grad_norm: 5.2976 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8306 loss: 1.8306 2022/07/22 21:26:28 - mmengine - INFO - Epoch(train) [29][1100/3757] lr: 1.0000e-02 eta: 2 days, 1:39:42 time: 0.7230 data_time: 0.0215 memory: 17350 grad_norm: 5.3826 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8513 loss: 1.8513 2022/07/22 21:26:40 - mmengine - INFO - Epoch(train) [29][1120/3757] lr: 1.0000e-02 eta: 2 days, 1:39:25 time: 0.5957 data_time: 0.0249 memory: 17350 grad_norm: 5.5698 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8422 loss: 1.8422 2022/07/22 21:26:56 - mmengine - INFO - Epoch(train) [29][1140/3757] lr: 1.0000e-02 eta: 2 days, 1:39:18 time: 0.7821 data_time: 0.0241 memory: 17350 grad_norm: 5.5604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7160 loss: 1.7160 2022/07/22 21:27:07 - mmengine - INFO - Epoch(train) [29][1160/3757] lr: 1.0000e-02 eta: 2 days, 1:38:58 time: 0.5436 data_time: 0.0275 memory: 17350 grad_norm: 5.4484 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9339 loss: 1.9339 2022/07/22 21:27:25 - mmengine - INFO - Epoch(train) [29][1180/3757] lr: 1.0000e-02 eta: 2 days, 1:38:58 time: 0.9122 data_time: 0.0424 memory: 17350 grad_norm: 5.2994 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7990 loss: 1.7990 2022/07/22 21:27:36 - mmengine - INFO - Epoch(train) [29][1200/3757] lr: 1.0000e-02 eta: 2 days, 1:38:40 time: 0.5729 data_time: 0.0221 memory: 17350 grad_norm: 5.4572 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8728 loss: 1.8728 2022/07/22 21:27:49 - mmengine - INFO - Epoch(train) [29][1220/3757] lr: 1.0000e-02 eta: 2 days, 1:38:24 time: 0.6170 data_time: 0.0270 memory: 17350 grad_norm: 5.5005 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7835 loss: 1.7835 2022/07/22 21:28:02 - mmengine - INFO - Epoch(train) [29][1240/3757] lr: 1.0000e-02 eta: 2 days, 1:38:11 time: 0.6569 data_time: 0.0224 memory: 17350 grad_norm: 5.5586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0689 loss: 2.0689 2022/07/22 21:28:14 - mmengine - INFO - Epoch(train) [29][1260/3757] lr: 1.0000e-02 eta: 2 days, 1:37:55 time: 0.6237 data_time: 0.0474 memory: 17350 grad_norm: 5.4752 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8027 loss: 1.8027 2022/07/22 21:28:29 - mmengine - INFO - Epoch(train) [29][1280/3757] lr: 1.0000e-02 eta: 2 days, 1:37:46 time: 0.7459 data_time: 0.0224 memory: 17350 grad_norm: 5.1215 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7042 loss: 1.7042 2022/07/22 21:28:41 - mmengine - INFO - Epoch(train) [29][1300/3757] lr: 1.0000e-02 eta: 2 days, 1:37:29 time: 0.5857 data_time: 0.0229 memory: 17350 grad_norm: 5.3523 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8449 loss: 1.8449 2022/07/22 21:28:55 - mmengine - INFO - Epoch(train) [29][1320/3757] lr: 1.0000e-02 eta: 2 days, 1:37:18 time: 0.7109 data_time: 0.0238 memory: 17350 grad_norm: 5.5318 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8132 loss: 1.8132 2022/07/22 21:29:07 - mmengine - INFO - Epoch(train) [29][1340/3757] lr: 1.0000e-02 eta: 2 days, 1:37:02 time: 0.6062 data_time: 0.0511 memory: 17350 grad_norm: 5.3402 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9836 loss: 1.9836 2022/07/22 21:29:22 - mmengine - INFO - Epoch(train) [29][1360/3757] lr: 1.0000e-02 eta: 2 days, 1:36:52 time: 0.7304 data_time: 0.0231 memory: 17350 grad_norm: 5.6131 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8765 loss: 1.8765 2022/07/22 21:29:34 - mmengine - INFO - Epoch(train) [29][1380/3757] lr: 1.0000e-02 eta: 2 days, 1:36:37 time: 0.6246 data_time: 0.0247 memory: 17350 grad_norm: 5.4089 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0579 loss: 2.0579 2022/07/22 21:29:49 - mmengine - INFO - Epoch(train) [29][1400/3757] lr: 1.0000e-02 eta: 2 days, 1:36:27 time: 0.7399 data_time: 0.1115 memory: 17350 grad_norm: 5.5189 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9490 loss: 1.9490 2022/07/22 21:30:01 - mmengine - INFO - Epoch(train) [29][1420/3757] lr: 1.0000e-02 eta: 2 days, 1:36:11 time: 0.5933 data_time: 0.1338 memory: 17350 grad_norm: 5.3333 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8897 loss: 1.8897 2022/07/22 21:30:16 - mmengine - INFO - Epoch(train) [29][1440/3757] lr: 1.0000e-02 eta: 2 days, 1:36:02 time: 0.7672 data_time: 0.3110 memory: 17350 grad_norm: 5.4996 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9923 loss: 1.9923 2022/07/22 21:30:29 - mmengine - INFO - Epoch(train) [29][1460/3757] lr: 1.0000e-02 eta: 2 days, 1:35:47 time: 0.6277 data_time: 0.1228 memory: 17350 grad_norm: 5.4227 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8800 loss: 1.8800 2022/07/22 21:30:43 - mmengine - INFO - Epoch(train) [29][1480/3757] lr: 1.0000e-02 eta: 2 days, 1:35:36 time: 0.7066 data_time: 0.1545 memory: 17350 grad_norm: 5.2829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0336 loss: 2.0336 2022/07/22 21:30:55 - mmengine - INFO - Epoch(train) [29][1500/3757] lr: 1.0000e-02 eta: 2 days, 1:35:20 time: 0.5949 data_time: 0.0545 memory: 17350 grad_norm: 5.4702 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9465 loss: 1.9465 2022/07/22 21:31:10 - mmengine - INFO - Epoch(train) [29][1520/3757] lr: 1.0000e-02 eta: 2 days, 1:35:10 time: 0.7448 data_time: 0.0282 memory: 17350 grad_norm: 5.4937 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6835 loss: 1.6835 2022/07/22 21:31:22 - mmengine - INFO - Epoch(train) [29][1540/3757] lr: 1.0000e-02 eta: 2 days, 1:34:53 time: 0.5830 data_time: 0.0213 memory: 17350 grad_norm: 5.3334 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8207 loss: 1.8207 2022/07/22 21:31:36 - mmengine - INFO - Epoch(train) [29][1560/3757] lr: 1.0000e-02 eta: 2 days, 1:34:42 time: 0.6991 data_time: 0.0236 memory: 17350 grad_norm: 5.3854 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0942 loss: 2.0942 2022/07/22 21:31:48 - mmengine - INFO - Epoch(train) [29][1580/3757] lr: 1.0000e-02 eta: 2 days, 1:34:26 time: 0.6280 data_time: 0.0190 memory: 17350 grad_norm: 5.5502 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0595 loss: 2.0595 2022/07/22 21:32:04 - mmengine - INFO - Epoch(train) [29][1600/3757] lr: 1.0000e-02 eta: 2 days, 1:34:19 time: 0.7697 data_time: 0.0235 memory: 17350 grad_norm: 5.4360 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5953 loss: 1.5953 2022/07/22 21:32:15 - mmengine - INFO - Epoch(train) [29][1620/3757] lr: 1.0000e-02 eta: 2 days, 1:34:01 time: 0.5721 data_time: 0.0217 memory: 17350 grad_norm: 5.4631 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9694 loss: 1.9694 2022/07/22 21:32:29 - mmengine - INFO - Epoch(train) [29][1640/3757] lr: 1.0000e-02 eta: 2 days, 1:33:50 time: 0.7105 data_time: 0.0219 memory: 17350 grad_norm: 5.7605 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9179 loss: 1.9179 2022/07/22 21:32:41 - mmengine - INFO - Epoch(train) [29][1660/3757] lr: 1.0000e-02 eta: 2 days, 1:33:32 time: 0.5760 data_time: 0.0223 memory: 17350 grad_norm: 5.5782 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9330 loss: 1.9330 2022/07/22 21:32:56 - mmengine - INFO - Epoch(train) [29][1680/3757] lr: 1.0000e-02 eta: 2 days, 1:33:23 time: 0.7551 data_time: 0.0233 memory: 17350 grad_norm: 5.5718 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8098 loss: 1.8098 2022/07/22 21:33:08 - mmengine - INFO - Epoch(train) [29][1700/3757] lr: 1.0000e-02 eta: 2 days, 1:33:08 time: 0.6245 data_time: 0.0231 memory: 17350 grad_norm: 5.5135 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8776 loss: 1.8776 2022/07/22 21:33:23 - mmengine - INFO - Epoch(train) [29][1720/3757] lr: 1.0000e-02 eta: 2 days, 1:32:58 time: 0.7275 data_time: 0.0213 memory: 17350 grad_norm: 5.4122 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8371 loss: 1.8371 2022/07/22 21:33:35 - mmengine - INFO - Epoch(train) [29][1740/3757] lr: 1.0000e-02 eta: 2 days, 1:32:42 time: 0.6162 data_time: 0.0231 memory: 17350 grad_norm: 5.4270 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9040 loss: 1.9040 2022/07/22 21:33:50 - mmengine - INFO - Epoch(train) [29][1760/3757] lr: 1.0000e-02 eta: 2 days, 1:32:32 time: 0.7305 data_time: 0.0224 memory: 17350 grad_norm: 5.5582 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8266 loss: 1.8266 2022/07/22 21:34:01 - mmengine - INFO - Epoch(train) [29][1780/3757] lr: 1.0000e-02 eta: 2 days, 1:32:15 time: 0.5744 data_time: 0.0224 memory: 17350 grad_norm: 5.5675 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0186 loss: 2.0186 2022/07/22 21:34:15 - mmengine - INFO - Epoch(train) [29][1800/3757] lr: 1.0000e-02 eta: 2 days, 1:32:03 time: 0.6923 data_time: 0.0244 memory: 17350 grad_norm: 5.5418 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0247 loss: 2.0247 2022/07/22 21:34:17 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 21:34:28 - mmengine - INFO - Epoch(train) [29][1820/3757] lr: 1.0000e-02 eta: 2 days, 1:31:49 time: 0.6590 data_time: 0.0225 memory: 17350 grad_norm: 5.4598 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9395 loss: 1.9395 2022/07/22 21:34:41 - mmengine - INFO - Epoch(train) [29][1840/3757] lr: 1.0000e-02 eta: 2 days, 1:31:34 time: 0.6220 data_time: 0.0240 memory: 17350 grad_norm: 5.5421 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8953 loss: 1.8953 2022/07/22 21:34:54 - mmengine - INFO - Epoch(train) [29][1860/3757] lr: 1.0000e-02 eta: 2 days, 1:31:20 time: 0.6573 data_time: 0.0213 memory: 17350 grad_norm: 5.4864 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8775 loss: 1.8775 2022/07/22 21:35:08 - mmengine - INFO - Epoch(train) [29][1880/3757] lr: 1.0000e-02 eta: 2 days, 1:31:08 time: 0.6780 data_time: 0.0240 memory: 17350 grad_norm: 5.4153 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6291 loss: 1.6291 2022/07/22 21:35:22 - mmengine - INFO - Epoch(train) [29][1900/3757] lr: 1.0000e-02 eta: 2 days, 1:30:57 time: 0.7070 data_time: 0.0248 memory: 17350 grad_norm: 5.4136 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9904 loss: 1.9904 2022/07/22 21:35:35 - mmengine - INFO - Epoch(train) [29][1920/3757] lr: 1.0000e-02 eta: 2 days, 1:30:43 time: 0.6551 data_time: 0.0239 memory: 17350 grad_norm: 5.3845 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6978 loss: 1.6978 2022/07/22 21:35:49 - mmengine - INFO - Epoch(train) [29][1940/3757] lr: 1.0000e-02 eta: 2 days, 1:30:33 time: 0.7303 data_time: 0.0221 memory: 17350 grad_norm: 5.4422 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9394 loss: 1.9394 2022/07/22 21:36:01 - mmengine - INFO - Epoch(train) [29][1960/3757] lr: 1.0000e-02 eta: 2 days, 1:30:15 time: 0.5660 data_time: 0.0372 memory: 17350 grad_norm: 5.3948 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9921 loss: 1.9921 2022/07/22 21:36:15 - mmengine - INFO - Epoch(train) [29][1980/3757] lr: 1.0000e-02 eta: 2 days, 1:30:05 time: 0.7376 data_time: 0.0463 memory: 17350 grad_norm: 5.1918 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6052 loss: 1.6052 2022/07/22 21:36:28 - mmengine - INFO - Epoch(train) [29][2000/3757] lr: 1.0000e-02 eta: 2 days, 1:29:50 time: 0.6150 data_time: 0.0265 memory: 17350 grad_norm: 5.4283 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7116 loss: 1.7116 2022/07/22 21:36:43 - mmengine - INFO - Epoch(train) [29][2020/3757] lr: 1.0000e-02 eta: 2 days, 1:29:40 time: 0.7442 data_time: 0.0243 memory: 17350 grad_norm: 5.5447 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9406 loss: 1.9406 2022/07/22 21:36:55 - mmengine - INFO - Epoch(train) [29][2040/3757] lr: 1.0000e-02 eta: 2 days, 1:29:24 time: 0.5912 data_time: 0.0225 memory: 17350 grad_norm: 5.3128 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6725 loss: 1.6725 2022/07/22 21:37:09 - mmengine - INFO - Epoch(train) [29][2060/3757] lr: 1.0000e-02 eta: 2 days, 1:29:13 time: 0.7210 data_time: 0.0215 memory: 17350 grad_norm: 5.5910 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1190 loss: 2.1190 2022/07/22 21:37:21 - mmengine - INFO - Epoch(train) [29][2080/3757] lr: 1.0000e-02 eta: 2 days, 1:28:56 time: 0.5921 data_time: 0.0348 memory: 17350 grad_norm: 5.5895 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7084 loss: 1.7084 2022/07/22 21:37:35 - mmengine - INFO - Epoch(train) [29][2100/3757] lr: 1.0000e-02 eta: 2 days, 1:28:46 time: 0.7282 data_time: 0.0322 memory: 17350 grad_norm: 5.4319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0808 loss: 2.0808 2022/07/22 21:37:48 - mmengine - INFO - Epoch(train) [29][2120/3757] lr: 1.0000e-02 eta: 2 days, 1:28:32 time: 0.6373 data_time: 0.0242 memory: 17350 grad_norm: 5.3147 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9111 loss: 1.9111 2022/07/22 21:38:02 - mmengine - INFO - Epoch(train) [29][2140/3757] lr: 1.0000e-02 eta: 2 days, 1:28:21 time: 0.7161 data_time: 0.0245 memory: 17350 grad_norm: 5.6128 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8466 loss: 1.8466 2022/07/22 21:38:15 - mmengine - INFO - Epoch(train) [29][2160/3757] lr: 1.0000e-02 eta: 2 days, 1:28:05 time: 0.6151 data_time: 0.0238 memory: 17350 grad_norm: 5.3143 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0216 loss: 2.0216 2022/07/22 21:38:28 - mmengine - INFO - Epoch(train) [29][2180/3757] lr: 1.0000e-02 eta: 2 days, 1:27:52 time: 0.6600 data_time: 0.0318 memory: 17350 grad_norm: 5.6827 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7571 loss: 1.7571 2022/07/22 21:38:42 - mmengine - INFO - Epoch(train) [29][2200/3757] lr: 1.0000e-02 eta: 2 days, 1:27:40 time: 0.7017 data_time: 0.0231 memory: 17350 grad_norm: 5.5423 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7279 loss: 1.7279 2022/07/22 21:38:55 - mmengine - INFO - Epoch(train) [29][2220/3757] lr: 1.0000e-02 eta: 2 days, 1:27:25 time: 0.6256 data_time: 0.0219 memory: 17350 grad_norm: 5.5216 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1790 loss: 2.1790 2022/07/22 21:39:09 - mmengine - INFO - Epoch(train) [29][2240/3757] lr: 1.0000e-02 eta: 2 days, 1:27:14 time: 0.6994 data_time: 0.0232 memory: 17350 grad_norm: 5.5610 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1147 loss: 2.1147 2022/07/22 21:39:22 - mmengine - INFO - Epoch(train) [29][2260/3757] lr: 1.0000e-02 eta: 2 days, 1:27:01 time: 0.6721 data_time: 0.0237 memory: 17350 grad_norm: 5.5168 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1496 loss: 2.1496 2022/07/22 21:39:35 - mmengine - INFO - Epoch(train) [29][2280/3757] lr: 1.0000e-02 eta: 2 days, 1:26:48 time: 0.6626 data_time: 0.0222 memory: 17350 grad_norm: 5.3721 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8879 loss: 1.8879 2022/07/22 21:39:48 - mmengine - INFO - Epoch(train) [29][2300/3757] lr: 1.0000e-02 eta: 2 days, 1:26:33 time: 0.6406 data_time: 0.0250 memory: 17350 grad_norm: 5.5146 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0393 loss: 2.0393 2022/07/22 21:40:02 - mmengine - INFO - Epoch(train) [29][2320/3757] lr: 1.0000e-02 eta: 2 days, 1:26:21 time: 0.6874 data_time: 0.0225 memory: 17350 grad_norm: 5.5396 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7553 loss: 1.7553 2022/07/22 21:40:15 - mmengine - INFO - Epoch(train) [29][2340/3757] lr: 1.0000e-02 eta: 2 days, 1:26:07 time: 0.6531 data_time: 0.0274 memory: 17350 grad_norm: 5.7595 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6899 loss: 1.6899 2022/07/22 21:40:29 - mmengine - INFO - Epoch(train) [29][2360/3757] lr: 1.0000e-02 eta: 2 days, 1:25:57 time: 0.7249 data_time: 0.0238 memory: 17350 grad_norm: 5.4063 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8487 loss: 1.8487 2022/07/22 21:40:42 - mmengine - INFO - Epoch(train) [29][2380/3757] lr: 1.0000e-02 eta: 2 days, 1:25:42 time: 0.6262 data_time: 0.0228 memory: 17350 grad_norm: 5.3814 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9902 loss: 1.9902 2022/07/22 21:40:56 - mmengine - INFO - Epoch(train) [29][2400/3757] lr: 1.0000e-02 eta: 2 days, 1:25:30 time: 0.6968 data_time: 0.0219 memory: 17350 grad_norm: 5.2150 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6820 loss: 1.6820 2022/07/22 21:41:08 - mmengine - INFO - Epoch(train) [29][2420/3757] lr: 1.0000e-02 eta: 2 days, 1:25:14 time: 0.5973 data_time: 0.0239 memory: 17350 grad_norm: 5.3974 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9568 loss: 1.9568 2022/07/22 21:41:22 - mmengine - INFO - Epoch(train) [29][2440/3757] lr: 1.0000e-02 eta: 2 days, 1:25:03 time: 0.7123 data_time: 0.0208 memory: 17350 grad_norm: 5.3315 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7133 loss: 1.7133 2022/07/22 21:41:33 - mmengine - INFO - Epoch(train) [29][2460/3757] lr: 1.0000e-02 eta: 2 days, 1:24:44 time: 0.5446 data_time: 0.0231 memory: 17350 grad_norm: 5.6795 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8818 loss: 1.8818 2022/07/22 21:41:46 - mmengine - INFO - Epoch(train) [29][2480/3757] lr: 1.0000e-02 eta: 2 days, 1:24:30 time: 0.6585 data_time: 0.0189 memory: 17350 grad_norm: 5.5036 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0455 loss: 2.0455 2022/07/22 21:42:00 - mmengine - INFO - Epoch(train) [29][2500/3757] lr: 1.0000e-02 eta: 2 days, 1:24:18 time: 0.6861 data_time: 0.0251 memory: 17350 grad_norm: 5.5130 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0833 loss: 2.0833 2022/07/22 21:42:14 - mmengine - INFO - Epoch(train) [29][2520/3757] lr: 1.0000e-02 eta: 2 days, 1:24:07 time: 0.7028 data_time: 0.0238 memory: 17350 grad_norm: 5.4146 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8521 loss: 1.8521 2022/07/22 21:42:28 - mmengine - INFO - Epoch(train) [29][2540/3757] lr: 1.0000e-02 eta: 2 days, 1:23:56 time: 0.7145 data_time: 0.0257 memory: 17350 grad_norm: 5.5088 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9954 loss: 1.9954 2022/07/22 21:42:40 - mmengine - INFO - Epoch(train) [29][2560/3757] lr: 1.0000e-02 eta: 2 days, 1:23:39 time: 0.5928 data_time: 0.1249 memory: 17350 grad_norm: 5.6011 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0124 loss: 2.0124 2022/07/22 21:42:55 - mmengine - INFO - Epoch(train) [29][2580/3757] lr: 1.0000e-02 eta: 2 days, 1:23:30 time: 0.7406 data_time: 0.1947 memory: 17350 grad_norm: 5.4220 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1403 loss: 2.1403 2022/07/22 21:43:08 - mmengine - INFO - Epoch(train) [29][2600/3757] lr: 1.0000e-02 eta: 2 days, 1:23:17 time: 0.6656 data_time: 0.2464 memory: 17350 grad_norm: 5.5436 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7710 loss: 1.7710 2022/07/22 21:43:22 - mmengine - INFO - Epoch(train) [29][2620/3757] lr: 1.0000e-02 eta: 2 days, 1:23:05 time: 0.6962 data_time: 0.2964 memory: 17350 grad_norm: 5.6369 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8678 loss: 1.8678 2022/07/22 21:43:34 - mmengine - INFO - Epoch(train) [29][2640/3757] lr: 1.0000e-02 eta: 2 days, 1:22:49 time: 0.6082 data_time: 0.2440 memory: 17350 grad_norm: 5.5587 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7336 loss: 1.7336 2022/07/22 21:43:49 - mmengine - INFO - Epoch(train) [29][2660/3757] lr: 1.0000e-02 eta: 2 days, 1:22:40 time: 0.7462 data_time: 0.3204 memory: 17350 grad_norm: 5.7065 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5653 loss: 1.5653 2022/07/22 21:44:02 - mmengine - INFO - Epoch(train) [29][2680/3757] lr: 1.0000e-02 eta: 2 days, 1:22:25 time: 0.6389 data_time: 0.2360 memory: 17350 grad_norm: 5.3763 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.8797 loss: 1.8797 2022/07/22 21:44:16 - mmengine - INFO - Epoch(train) [29][2700/3757] lr: 1.0000e-02 eta: 2 days, 1:22:13 time: 0.6924 data_time: 0.3215 memory: 17350 grad_norm: 5.3509 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9182 loss: 1.9182 2022/07/22 21:44:29 - mmengine - INFO - Epoch(train) [29][2720/3757] lr: 1.0000e-02 eta: 2 days, 1:22:01 time: 0.6738 data_time: 0.0518 memory: 17350 grad_norm: 5.5853 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9524 loss: 1.9524 2022/07/22 21:44:41 - mmengine - INFO - Epoch(train) [29][2740/3757] lr: 1.0000e-02 eta: 2 days, 1:21:43 time: 0.5754 data_time: 0.0228 memory: 17350 grad_norm: 5.3239 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6774 loss: 1.6774 2022/07/22 21:44:56 - mmengine - INFO - Epoch(train) [29][2760/3757] lr: 1.0000e-02 eta: 2 days, 1:21:35 time: 0.7746 data_time: 0.0208 memory: 17350 grad_norm: 5.4770 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7551 loss: 1.7551 2022/07/22 21:45:08 - mmengine - INFO - Epoch(train) [29][2780/3757] lr: 1.0000e-02 eta: 2 days, 1:21:18 time: 0.5890 data_time: 0.0268 memory: 17350 grad_norm: 5.6073 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0142 loss: 2.0142 2022/07/22 21:45:22 - mmengine - INFO - Epoch(train) [29][2800/3757] lr: 1.0000e-02 eta: 2 days, 1:21:06 time: 0.6870 data_time: 0.0225 memory: 17350 grad_norm: 5.5450 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8358 loss: 1.8358 2022/07/22 21:45:24 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 21:45:34 - mmengine - INFO - Epoch(train) [29][2820/3757] lr: 1.0000e-02 eta: 2 days, 1:20:50 time: 0.5993 data_time: 0.0221 memory: 17350 grad_norm: 5.4129 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6709 loss: 1.6709 2022/07/22 21:45:49 - mmengine - INFO - Epoch(train) [29][2840/3757] lr: 1.0000e-02 eta: 2 days, 1:20:41 time: 0.7513 data_time: 0.0212 memory: 17350 grad_norm: 5.2835 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9438 loss: 1.9438 2022/07/22 21:46:01 - mmengine - INFO - Epoch(train) [29][2860/3757] lr: 1.0000e-02 eta: 2 days, 1:20:24 time: 0.6028 data_time: 0.0227 memory: 17350 grad_norm: 5.5737 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8408 loss: 1.8408 2022/07/22 21:46:14 - mmengine - INFO - Epoch(train) [29][2880/3757] lr: 1.0000e-02 eta: 2 days, 1:20:10 time: 0.6422 data_time: 0.0233 memory: 17350 grad_norm: 5.3965 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0523 loss: 2.0523 2022/07/22 21:46:27 - mmengine - INFO - Epoch(train) [29][2900/3757] lr: 1.0000e-02 eta: 2 days, 1:19:56 time: 0.6389 data_time: 0.0220 memory: 17350 grad_norm: 5.4132 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6353 loss: 1.6353 2022/07/22 21:46:41 - mmengine - INFO - Epoch(train) [29][2920/3757] lr: 1.0000e-02 eta: 2 days, 1:19:45 time: 0.7124 data_time: 0.0225 memory: 17350 grad_norm: 5.3655 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7392 loss: 1.7392 2022/07/22 21:46:53 - mmengine - INFO - Epoch(train) [29][2940/3757] lr: 1.0000e-02 eta: 2 days, 1:19:29 time: 0.6068 data_time: 0.0250 memory: 17350 grad_norm: 5.3271 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7374 loss: 1.7374 2022/07/22 21:47:09 - mmengine - INFO - Epoch(train) [29][2960/3757] lr: 1.0000e-02 eta: 2 days, 1:19:22 time: 0.7885 data_time: 0.0264 memory: 17350 grad_norm: 5.6924 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9628 loss: 1.9628 2022/07/22 21:47:21 - mmengine - INFO - Epoch(train) [29][2980/3757] lr: 1.0000e-02 eta: 2 days, 1:19:06 time: 0.6148 data_time: 0.0219 memory: 17350 grad_norm: 5.6195 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8411 loss: 1.8411 2022/07/22 21:47:35 - mmengine - INFO - Epoch(train) [29][3000/3757] lr: 1.0000e-02 eta: 2 days, 1:18:55 time: 0.7091 data_time: 0.0237 memory: 17350 grad_norm: 5.6900 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8735 loss: 1.8735 2022/07/22 21:47:48 - mmengine - INFO - Epoch(train) [29][3020/3757] lr: 1.0000e-02 eta: 2 days, 1:18:40 time: 0.6313 data_time: 0.0237 memory: 17350 grad_norm: 5.5668 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2662 loss: 2.2662 2022/07/22 21:48:02 - mmengine - INFO - Epoch(train) [29][3040/3757] lr: 1.0000e-02 eta: 2 days, 1:18:28 time: 0.6980 data_time: 0.0254 memory: 17350 grad_norm: 5.3782 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8989 loss: 1.8989 2022/07/22 21:48:15 - mmengine - INFO - Epoch(train) [29][3060/3757] lr: 1.0000e-02 eta: 2 days, 1:18:13 time: 0.6307 data_time: 0.0236 memory: 17350 grad_norm: 5.3837 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1102 loss: 2.1102 2022/07/22 21:48:26 - mmengine - INFO - Epoch(train) [29][3080/3757] lr: 1.0000e-02 eta: 2 days, 1:17:57 time: 0.5957 data_time: 0.0217 memory: 17350 grad_norm: 5.3945 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9636 loss: 1.9636 2022/07/22 21:48:41 - mmengine - INFO - Epoch(train) [29][3100/3757] lr: 1.0000e-02 eta: 2 days, 1:17:45 time: 0.7004 data_time: 0.0225 memory: 17350 grad_norm: 5.5523 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9530 loss: 1.9530 2022/07/22 21:48:53 - mmengine - INFO - Epoch(train) [29][3120/3757] lr: 1.0000e-02 eta: 2 days, 1:17:31 time: 0.6457 data_time: 0.0231 memory: 17350 grad_norm: 5.4608 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8952 loss: 1.8952 2022/07/22 21:49:08 - mmengine - INFO - Epoch(train) [29][3140/3757] lr: 1.0000e-02 eta: 2 days, 1:17:21 time: 0.7301 data_time: 0.0224 memory: 17350 grad_norm: 5.2085 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.9743 loss: 1.9743 2022/07/22 21:49:20 - mmengine - INFO - Epoch(train) [29][3160/3757] lr: 1.0000e-02 eta: 2 days, 1:17:06 time: 0.6170 data_time: 0.0252 memory: 17350 grad_norm: 5.5537 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8756 loss: 1.8756 2022/07/22 21:49:35 - mmengine - INFO - Epoch(train) [29][3180/3757] lr: 1.0000e-02 eta: 2 days, 1:16:56 time: 0.7405 data_time: 0.0232 memory: 17350 grad_norm: 5.7618 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0004 loss: 2.0004 2022/07/22 21:49:47 - mmengine - INFO - Epoch(train) [29][3200/3757] lr: 1.0000e-02 eta: 2 days, 1:16:38 time: 0.5739 data_time: 0.0220 memory: 17350 grad_norm: 5.5403 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2219 loss: 2.2219 2022/07/22 21:50:00 - mmengine - INFO - Epoch(train) [29][3220/3757] lr: 1.0000e-02 eta: 2 days, 1:16:26 time: 0.6713 data_time: 0.0233 memory: 17350 grad_norm: 5.6127 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0098 loss: 2.0098 2022/07/22 21:50:15 - mmengine - INFO - Epoch(train) [29][3240/3757] lr: 1.0000e-02 eta: 2 days, 1:16:16 time: 0.7294 data_time: 0.1115 memory: 17350 grad_norm: 5.7152 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9048 loss: 1.9048 2022/07/22 21:50:29 - mmengine - INFO - Epoch(train) [29][3260/3757] lr: 1.0000e-02 eta: 2 days, 1:16:05 time: 0.7212 data_time: 0.0277 memory: 17350 grad_norm: 5.3766 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8349 loss: 1.8349 2022/07/22 21:50:42 - mmengine - INFO - Epoch(train) [29][3280/3757] lr: 1.0000e-02 eta: 2 days, 1:15:50 time: 0.6237 data_time: 0.0217 memory: 17350 grad_norm: 5.4226 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9308 loss: 1.9308 2022/07/22 21:50:57 - mmengine - INFO - Epoch(train) [29][3300/3757] lr: 1.0000e-02 eta: 2 days, 1:15:42 time: 0.7730 data_time: 0.0220 memory: 17350 grad_norm: 5.5960 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1991 loss: 2.1991 2022/07/22 21:51:08 - mmengine - INFO - Epoch(train) [29][3320/3757] lr: 1.0000e-02 eta: 2 days, 1:15:23 time: 0.5492 data_time: 0.0242 memory: 17350 grad_norm: 5.5736 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0379 loss: 2.0379 2022/07/22 21:51:24 - mmengine - INFO - Epoch(train) [29][3340/3757] lr: 1.0000e-02 eta: 2 days, 1:15:16 time: 0.7928 data_time: 0.0261 memory: 17350 grad_norm: 5.4874 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8613 loss: 1.8613 2022/07/22 21:51:33 - mmengine - INFO - Epoch(train) [29][3360/3757] lr: 1.0000e-02 eta: 2 days, 1:14:53 time: 0.4578 data_time: 0.0212 memory: 17350 grad_norm: 5.4496 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1063 loss: 2.1063 2022/07/22 21:51:50 - mmengine - INFO - Epoch(train) [29][3380/3757] lr: 1.0000e-02 eta: 2 days, 1:14:49 time: 0.8668 data_time: 0.0186 memory: 17350 grad_norm: 5.5155 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1852 loss: 2.1852 2022/07/22 21:52:04 - mmengine - INFO - Epoch(train) [29][3400/3757] lr: 1.0000e-02 eta: 2 days, 1:14:36 time: 0.6642 data_time: 0.0515 memory: 17350 grad_norm: 5.3730 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5291 loss: 1.5291 2022/07/22 21:52:18 - mmengine - INFO - Epoch(train) [29][3420/3757] lr: 1.0000e-02 eta: 2 days, 1:14:24 time: 0.6924 data_time: 0.0241 memory: 17350 grad_norm: 5.6532 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9003 loss: 1.9003 2022/07/22 21:52:30 - mmengine - INFO - Epoch(train) [29][3440/3757] lr: 1.0000e-02 eta: 2 days, 1:14:08 time: 0.6088 data_time: 0.0235 memory: 17350 grad_norm: 5.5175 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8598 loss: 1.8598 2022/07/22 21:52:44 - mmengine - INFO - Epoch(train) [29][3460/3757] lr: 1.0000e-02 eta: 2 days, 1:13:57 time: 0.7016 data_time: 0.0147 memory: 17350 grad_norm: 5.5294 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9203 loss: 1.9203 2022/07/22 21:52:56 - mmengine - INFO - Epoch(train) [29][3480/3757] lr: 1.0000e-02 eta: 2 days, 1:13:40 time: 0.5985 data_time: 0.0241 memory: 17350 grad_norm: 5.4945 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1702 loss: 2.1702 2022/07/22 21:53:10 - mmengine - INFO - Epoch(train) [29][3500/3757] lr: 1.0000e-02 eta: 2 days, 1:13:29 time: 0.7043 data_time: 0.0216 memory: 17350 grad_norm: 5.7420 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9454 loss: 1.9454 2022/07/22 21:53:23 - mmengine - INFO - Epoch(train) [29][3520/3757] lr: 1.0000e-02 eta: 2 days, 1:13:15 time: 0.6399 data_time: 0.0247 memory: 17350 grad_norm: 5.3740 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0542 loss: 2.0542 2022/07/22 21:53:36 - mmengine - INFO - Epoch(train) [29][3540/3757] lr: 1.0000e-02 eta: 2 days, 1:13:02 time: 0.6809 data_time: 0.0224 memory: 17350 grad_norm: 5.4421 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0338 loss: 2.0338 2022/07/22 21:53:51 - mmengine - INFO - Epoch(train) [29][3560/3757] lr: 1.0000e-02 eta: 2 days, 1:12:52 time: 0.7152 data_time: 0.0224 memory: 17350 grad_norm: 5.5728 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1347 loss: 2.1347 2022/07/22 21:54:02 - mmengine - INFO - Epoch(train) [29][3580/3757] lr: 1.0000e-02 eta: 2 days, 1:12:34 time: 0.5779 data_time: 0.0172 memory: 17350 grad_norm: 5.6455 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2265 loss: 2.2265 2022/07/22 21:54:17 - mmengine - INFO - Epoch(train) [29][3600/3757] lr: 1.0000e-02 eta: 2 days, 1:12:24 time: 0.7353 data_time: 0.0218 memory: 17350 grad_norm: 5.6864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8872 loss: 1.8872 2022/07/22 21:54:30 - mmengine - INFO - Epoch(train) [29][3620/3757] lr: 1.0000e-02 eta: 2 days, 1:12:10 time: 0.6389 data_time: 0.0242 memory: 17350 grad_norm: 5.5047 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9223 loss: 1.9223 2022/07/22 21:54:42 - mmengine - INFO - Epoch(train) [29][3640/3757] lr: 1.0000e-02 eta: 2 days, 1:11:54 time: 0.6088 data_time: 0.0221 memory: 17350 grad_norm: 5.5380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2004 loss: 2.2004 2022/07/22 21:54:56 - mmengine - INFO - Epoch(train) [29][3660/3757] lr: 1.0000e-02 eta: 2 days, 1:11:43 time: 0.7080 data_time: 0.0228 memory: 17350 grad_norm: 5.5125 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9723 loss: 1.9723 2022/07/22 21:55:09 - mmengine - INFO - Epoch(train) [29][3680/3757] lr: 1.0000e-02 eta: 2 days, 1:11:28 time: 0.6237 data_time: 0.0216 memory: 17350 grad_norm: 5.5343 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0141 loss: 2.0141 2022/07/22 21:55:24 - mmengine - INFO - Epoch(train) [29][3700/3757] lr: 1.0000e-02 eta: 2 days, 1:11:19 time: 0.7639 data_time: 0.0253 memory: 17350 grad_norm: 5.3286 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8327 loss: 1.8327 2022/07/22 21:55:36 - mmengine - INFO - Epoch(train) [29][3720/3757] lr: 1.0000e-02 eta: 2 days, 1:11:02 time: 0.5878 data_time: 0.0236 memory: 17350 grad_norm: 5.6520 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1130 loss: 2.1130 2022/07/22 21:55:50 - mmengine - INFO - Epoch(train) [29][3740/3757] lr: 1.0000e-02 eta: 2 days, 1:10:51 time: 0.7078 data_time: 0.0224 memory: 17350 grad_norm: 5.7221 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9809 loss: 1.9809 2022/07/22 21:55:58 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 21:55:58 - mmengine - INFO - Epoch(train) [29][3757/3757] lr: 1.0000e-02 eta: 2 days, 1:10:51 time: 0.5755 data_time: 0.0233 memory: 17350 grad_norm: 5.5338 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.0922 loss: 2.0922 2022/07/22 21:56:15 - mmengine - INFO - Epoch(val) [29][20/310] eta: 0:04:02 time: 0.8378 data_time: 0.7226 memory: 3406 2022/07/22 21:56:25 - mmengine - INFO - Epoch(val) [29][40/310] eta: 0:02:20 time: 0.5220 data_time: 0.4092 memory: 3406 2022/07/22 21:56:40 - mmengine - INFO - Epoch(val) [29][60/310] eta: 0:03:08 time: 0.7547 data_time: 0.6403 memory: 3406 2022/07/22 21:56:51 - mmengine - INFO - Epoch(val) [29][80/310] eta: 0:02:10 time: 0.5678 data_time: 0.4548 memory: 3406 2022/07/22 21:57:06 - mmengine - INFO - Epoch(val) [29][100/310] eta: 0:02:33 time: 0.7311 data_time: 0.6176 memory: 3406 2022/07/22 21:57:17 - mmengine - INFO - Epoch(val) [29][120/310] eta: 0:01:47 time: 0.5680 data_time: 0.4551 memory: 3406 2022/07/22 21:57:33 - mmengine - INFO - Epoch(val) [29][140/310] eta: 0:02:12 time: 0.7816 data_time: 0.6687 memory: 3406 2022/07/22 21:57:45 - mmengine - INFO - Epoch(val) [29][160/310] eta: 0:01:26 time: 0.5736 data_time: 0.4565 memory: 3406 2022/07/22 21:58:02 - mmengine - INFO - Epoch(val) [29][180/310] eta: 0:01:55 time: 0.8847 data_time: 0.7716 memory: 3406 2022/07/22 21:58:14 - mmengine - INFO - Epoch(val) [29][200/310] eta: 0:01:02 time: 0.5703 data_time: 0.4559 memory: 3406 2022/07/22 21:58:31 - mmengine - INFO - Epoch(val) [29][220/310] eta: 0:01:17 time: 0.8588 data_time: 0.7464 memory: 3406 2022/07/22 21:58:41 - mmengine - INFO - Epoch(val) [29][240/310] eta: 0:00:37 time: 0.5286 data_time: 0.4144 memory: 3406 2022/07/22 21:58:55 - mmengine - INFO - Epoch(val) [29][260/310] eta: 0:00:35 time: 0.7017 data_time: 0.5877 memory: 3406 2022/07/22 21:59:06 - mmengine - INFO - Epoch(val) [29][280/310] eta: 0:00:15 time: 0.5134 data_time: 0.4006 memory: 3406 2022/07/22 21:59:20 - mmengine - INFO - Epoch(val) [29][300/310] eta: 0:00:07 time: 0.7222 data_time: 0.6100 memory: 3406 2022/07/22 21:59:25 - mmengine - INFO - Epoch(val) [29][310/310] acc/top1: 0.5766 acc/top5: 0.8104 acc/mean1: 0.5766 2022/07/22 21:59:43 - mmengine - INFO - Epoch(train) [30][20/3757] lr: 1.0000e-02 eta: 2 days, 1:10:12 time: 0.9227 data_time: 0.5617 memory: 17350 grad_norm: 5.5206 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9938 loss: 1.9938 2022/07/22 21:59:56 - mmengine - INFO - Epoch(train) [30][40/3757] lr: 1.0000e-02 eta: 2 days, 1:09:57 time: 0.6368 data_time: 0.2639 memory: 17350 grad_norm: 5.5186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5478 loss: 1.5478 2022/07/22 22:00:02 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 22:00:12 - mmengine - INFO - Epoch(train) [30][60/3757] lr: 1.0000e-02 eta: 2 days, 1:09:50 time: 0.7957 data_time: 0.3526 memory: 17350 grad_norm: 5.5193 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7516 loss: 1.7516 2022/07/22 22:00:24 - mmengine - INFO - Epoch(train) [30][80/3757] lr: 1.0000e-02 eta: 2 days, 1:09:34 time: 0.5975 data_time: 0.1567 memory: 17350 grad_norm: 5.4455 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2278 loss: 2.2278 2022/07/22 22:00:39 - mmengine - INFO - Epoch(train) [30][100/3757] lr: 1.0000e-02 eta: 2 days, 1:09:24 time: 0.7461 data_time: 0.2357 memory: 17350 grad_norm: 5.3532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8275 loss: 1.8275 2022/07/22 22:00:51 - mmengine - INFO - Epoch(train) [30][120/3757] lr: 1.0000e-02 eta: 2 days, 1:09:07 time: 0.5892 data_time: 0.1622 memory: 17350 grad_norm: 5.4678 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9399 loss: 1.9399 2022/07/22 22:01:05 - mmengine - INFO - Epoch(train) [30][140/3757] lr: 1.0000e-02 eta: 2 days, 1:08:58 time: 0.7379 data_time: 0.1753 memory: 17350 grad_norm: 5.4639 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8262 loss: 1.8262 2022/07/22 22:01:18 - mmengine - INFO - Epoch(train) [30][160/3757] lr: 1.0000e-02 eta: 2 days, 1:08:42 time: 0.6075 data_time: 0.0963 memory: 17350 grad_norm: 5.6373 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9339 loss: 1.9339 2022/07/22 22:01:32 - mmengine - INFO - Epoch(train) [30][180/3757] lr: 1.0000e-02 eta: 2 days, 1:08:31 time: 0.7155 data_time: 0.1907 memory: 17350 grad_norm: 5.5188 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9711 loss: 1.9711 2022/07/22 22:01:45 - mmengine - INFO - Epoch(train) [30][200/3757] lr: 1.0000e-02 eta: 2 days, 1:08:17 time: 0.6552 data_time: 0.2156 memory: 17350 grad_norm: 5.5389 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8805 loss: 1.8805 2022/07/22 22:01:59 - mmengine - INFO - Epoch(train) [30][220/3757] lr: 1.0000e-02 eta: 2 days, 1:08:05 time: 0.6898 data_time: 0.1280 memory: 17350 grad_norm: 5.4281 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1181 loss: 2.1181 2022/07/22 22:02:11 - mmengine - INFO - Epoch(train) [30][240/3757] lr: 1.0000e-02 eta: 2 days, 1:07:49 time: 0.6084 data_time: 0.1066 memory: 17350 grad_norm: 5.5217 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1556 loss: 2.1556 2022/07/22 22:02:26 - mmengine - INFO - Epoch(train) [30][260/3757] lr: 1.0000e-02 eta: 2 days, 1:07:39 time: 0.7315 data_time: 0.1826 memory: 17350 grad_norm: 5.4106 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7742 loss: 1.7742 2022/07/22 22:02:38 - mmengine - INFO - Epoch(train) [30][280/3757] lr: 1.0000e-02 eta: 2 days, 1:07:24 time: 0.6247 data_time: 0.1041 memory: 17350 grad_norm: 5.4707 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8851 loss: 1.8851 2022/07/22 22:02:53 - mmengine - INFO - Epoch(train) [30][300/3757] lr: 1.0000e-02 eta: 2 days, 1:07:14 time: 0.7265 data_time: 0.0502 memory: 17350 grad_norm: 5.5641 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7284 loss: 1.7284 2022/07/22 22:03:06 - mmengine - INFO - Epoch(train) [30][320/3757] lr: 1.0000e-02 eta: 2 days, 1:07:00 time: 0.6546 data_time: 0.0490 memory: 17350 grad_norm: 5.5545 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0232 loss: 2.0232 2022/07/22 22:03:20 - mmengine - INFO - Epoch(train) [30][340/3757] lr: 1.0000e-02 eta: 2 days, 1:06:50 time: 0.7176 data_time: 0.0225 memory: 17350 grad_norm: 5.5950 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8344 loss: 1.8344 2022/07/22 22:03:32 - mmengine - INFO - Epoch(train) [30][360/3757] lr: 1.0000e-02 eta: 2 days, 1:06:33 time: 0.5863 data_time: 0.0223 memory: 17350 grad_norm: 5.4552 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7155 loss: 1.7155 2022/07/22 22:03:46 - mmengine - INFO - Epoch(train) [30][380/3757] lr: 1.0000e-02 eta: 2 days, 1:06:21 time: 0.7025 data_time: 0.0217 memory: 17350 grad_norm: 5.5088 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8853 loss: 1.8853 2022/07/22 22:03:58 - mmengine - INFO - Epoch(train) [30][400/3757] lr: 1.0000e-02 eta: 2 days, 1:06:04 time: 0.5778 data_time: 0.0209 memory: 17350 grad_norm: 5.3858 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2949 loss: 2.2949 2022/07/22 22:04:12 - mmengine - INFO - Epoch(train) [30][420/3757] lr: 1.0000e-02 eta: 2 days, 1:05:53 time: 0.7230 data_time: 0.0217 memory: 17350 grad_norm: 5.5530 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1504 loss: 2.1504 2022/07/22 22:04:24 - mmengine - INFO - Epoch(train) [30][440/3757] lr: 1.0000e-02 eta: 2 days, 1:05:37 time: 0.5927 data_time: 0.0224 memory: 17350 grad_norm: 5.5423 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3141 loss: 2.3141 2022/07/22 22:04:38 - mmengine - INFO - Epoch(train) [30][460/3757] lr: 1.0000e-02 eta: 2 days, 1:05:26 time: 0.7130 data_time: 0.0216 memory: 17350 grad_norm: 5.4841 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8729 loss: 1.8729 2022/07/22 22:04:50 - mmengine - INFO - Epoch(train) [30][480/3757] lr: 1.0000e-02 eta: 2 days, 1:05:10 time: 0.6128 data_time: 0.0290 memory: 17350 grad_norm: 5.4246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8294 loss: 1.8294 2022/07/22 22:05:04 - mmengine - INFO - Epoch(train) [30][500/3757] lr: 1.0000e-02 eta: 2 days, 1:04:59 time: 0.7027 data_time: 0.0239 memory: 17350 grad_norm: 5.4961 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3574 loss: 2.3574 2022/07/22 22:05:18 - mmengine - INFO - Epoch(train) [30][520/3757] lr: 1.0000e-02 eta: 2 days, 1:04:45 time: 0.6619 data_time: 0.0410 memory: 17350 grad_norm: 5.4739 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2184 loss: 2.2184 2022/07/22 22:05:32 - mmengine - INFO - Epoch(train) [30][540/3757] lr: 1.0000e-02 eta: 2 days, 1:04:34 time: 0.6939 data_time: 0.0533 memory: 17350 grad_norm: 5.4908 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8678 loss: 1.8678 2022/07/22 22:05:46 - mmengine - INFO - Epoch(train) [30][560/3757] lr: 1.0000e-02 eta: 2 days, 1:04:22 time: 0.7018 data_time: 0.1043 memory: 17350 grad_norm: 5.5480 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9870 loss: 1.9870 2022/07/22 22:05:58 - mmengine - INFO - Epoch(train) [30][580/3757] lr: 1.0000e-02 eta: 2 days, 1:04:07 time: 0.6298 data_time: 0.0574 memory: 17350 grad_norm: 5.5818 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7755 loss: 1.7755 2022/07/22 22:06:12 - mmengine - INFO - Epoch(train) [30][600/3757] lr: 1.0000e-02 eta: 2 days, 1:03:56 time: 0.7083 data_time: 0.0278 memory: 17350 grad_norm: 5.3816 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9465 loss: 1.9465 2022/07/22 22:06:25 - mmengine - INFO - Epoch(train) [30][620/3757] lr: 1.0000e-02 eta: 2 days, 1:03:41 time: 0.6295 data_time: 0.0226 memory: 17350 grad_norm: 5.3989 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7723 loss: 1.7723 2022/07/22 22:06:38 - mmengine - INFO - Epoch(train) [30][640/3757] lr: 1.0000e-02 eta: 2 days, 1:03:28 time: 0.6693 data_time: 0.0219 memory: 17350 grad_norm: 5.4776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5139 loss: 1.5139 2022/07/22 22:06:52 - mmengine - INFO - Epoch(train) [30][660/3757] lr: 1.0000e-02 eta: 2 days, 1:03:15 time: 0.6693 data_time: 0.0242 memory: 17350 grad_norm: 5.7615 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8920 loss: 1.8920 2022/07/22 22:07:05 - mmengine - INFO - Epoch(train) [30][680/3757] lr: 1.0000e-02 eta: 2 days, 1:03:02 time: 0.6681 data_time: 0.0385 memory: 17350 grad_norm: 5.5021 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0777 loss: 2.0777 2022/07/22 22:07:18 - mmengine - INFO - Epoch(train) [30][700/3757] lr: 1.0000e-02 eta: 2 days, 1:02:49 time: 0.6624 data_time: 0.0220 memory: 17350 grad_norm: 5.6364 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 1.9028 loss: 1.9028 2022/07/22 22:07:33 - mmengine - INFO - Epoch(train) [30][720/3757] lr: 1.0000e-02 eta: 2 days, 1:02:40 time: 0.7461 data_time: 0.0535 memory: 17350 grad_norm: 5.4082 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9083 loss: 1.9083 2022/07/22 22:07:46 - mmengine - INFO - Epoch(train) [30][740/3757] lr: 1.0000e-02 eta: 2 days, 1:02:26 time: 0.6485 data_time: 0.0400 memory: 17350 grad_norm: 5.5464 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0881 loss: 2.0881 2022/07/22 22:08:02 - mmengine - INFO - Epoch(train) [30][760/3757] lr: 1.0000e-02 eta: 2 days, 1:02:19 time: 0.7940 data_time: 0.0239 memory: 17350 grad_norm: 5.5658 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0720 loss: 2.0720 2022/07/22 22:08:13 - mmengine - INFO - Epoch(train) [30][780/3757] lr: 1.0000e-02 eta: 2 days, 1:02:00 time: 0.5532 data_time: 0.0220 memory: 17350 grad_norm: 5.3552 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9915 loss: 1.9915 2022/07/22 22:08:28 - mmengine - INFO - Epoch(train) [30][800/3757] lr: 1.0000e-02 eta: 2 days, 1:01:50 time: 0.7405 data_time: 0.0213 memory: 17350 grad_norm: 5.2805 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8952 loss: 1.8952 2022/07/22 22:08:40 - mmengine - INFO - Epoch(train) [30][820/3757] lr: 1.0000e-02 eta: 2 days, 1:01:33 time: 0.5826 data_time: 0.0226 memory: 17350 grad_norm: 5.5221 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1741 loss: 2.1741 2022/07/22 22:08:55 - mmengine - INFO - Epoch(train) [30][840/3757] lr: 1.0000e-02 eta: 2 days, 1:01:24 time: 0.7556 data_time: 0.0236 memory: 17350 grad_norm: 5.3992 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6448 loss: 1.6448 2022/07/22 22:09:08 - mmengine - INFO - Epoch(train) [30][860/3757] lr: 1.0000e-02 eta: 2 days, 1:01:10 time: 0.6426 data_time: 0.0235 memory: 17350 grad_norm: 5.4488 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7735 loss: 1.7735 2022/07/22 22:09:22 - mmengine - INFO - Epoch(train) [30][880/3757] lr: 1.0000e-02 eta: 2 days, 1:01:00 time: 0.7255 data_time: 0.0207 memory: 17350 grad_norm: 5.5609 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9353 loss: 1.9353 2022/07/22 22:09:34 - mmengine - INFO - Epoch(train) [30][900/3757] lr: 1.0000e-02 eta: 2 days, 1:00:44 time: 0.6111 data_time: 0.0453 memory: 17350 grad_norm: 5.4557 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8759 loss: 1.8759 2022/07/22 22:09:48 - mmengine - INFO - Epoch(train) [30][920/3757] lr: 1.0000e-02 eta: 2 days, 1:00:31 time: 0.6769 data_time: 0.0303 memory: 17350 grad_norm: 5.6063 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7384 loss: 1.7384 2022/07/22 22:10:00 - mmengine - INFO - Epoch(train) [30][940/3757] lr: 1.0000e-02 eta: 2 days, 1:00:14 time: 0.5807 data_time: 0.0293 memory: 17350 grad_norm: 5.4253 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9519 loss: 1.9519 2022/07/22 22:10:15 - mmengine - INFO - Epoch(train) [30][960/3757] lr: 1.0000e-02 eta: 2 days, 1:00:06 time: 0.7813 data_time: 0.0212 memory: 17350 grad_norm: 5.6115 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8988 loss: 1.8988 2022/07/22 22:10:29 - mmengine - INFO - Epoch(train) [30][980/3757] lr: 1.0000e-02 eta: 2 days, 0:59:53 time: 0.6662 data_time: 0.0253 memory: 17350 grad_norm: 5.5028 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0211 loss: 2.0211 2022/07/22 22:10:41 - mmengine - INFO - Epoch(train) [30][1000/3757] lr: 1.0000e-02 eta: 2 days, 0:59:37 time: 0.6049 data_time: 0.0210 memory: 17350 grad_norm: 5.4730 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9266 loss: 1.9266 2022/07/22 22:10:56 - mmengine - INFO - Epoch(train) [30][1020/3757] lr: 1.0000e-02 eta: 2 days, 0:59:28 time: 0.7495 data_time: 0.0248 memory: 17350 grad_norm: 5.3862 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9289 loss: 1.9289 2022/07/22 22:11:08 - mmengine - INFO - Epoch(train) [30][1040/3757] lr: 1.0000e-02 eta: 2 days, 0:59:12 time: 0.6131 data_time: 0.0238 memory: 17350 grad_norm: 5.4283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7768 loss: 1.7768 2022/07/22 22:11:12 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 22:11:22 - mmengine - INFO - Epoch(train) [30][1060/3757] lr: 1.0000e-02 eta: 2 days, 0:59:00 time: 0.6772 data_time: 0.0229 memory: 17350 grad_norm: 5.4326 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6894 loss: 1.6894 2022/07/22 22:11:35 - mmengine - INFO - Epoch(train) [30][1080/3757] lr: 1.0000e-02 eta: 2 days, 0:58:47 time: 0.6857 data_time: 0.0221 memory: 17350 grad_norm: 5.5646 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8385 loss: 1.8385 2022/07/22 22:11:47 - mmengine - INFO - Epoch(train) [30][1100/3757] lr: 1.0000e-02 eta: 2 days, 0:58:31 time: 0.6009 data_time: 0.0229 memory: 17350 grad_norm: 5.6170 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9292 loss: 1.9292 2022/07/22 22:12:02 - mmengine - INFO - Epoch(train) [30][1120/3757] lr: 1.0000e-02 eta: 2 days, 0:58:21 time: 0.7195 data_time: 0.0213 memory: 17350 grad_norm: 5.4946 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5327 loss: 1.5327 2022/07/22 22:12:14 - mmengine - INFO - Epoch(train) [30][1140/3757] lr: 1.0000e-02 eta: 2 days, 0:58:05 time: 0.6185 data_time: 0.0242 memory: 17350 grad_norm: 5.5146 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8448 loss: 1.8448 2022/07/22 22:12:28 - mmengine - INFO - Epoch(train) [30][1160/3757] lr: 1.0000e-02 eta: 2 days, 0:57:53 time: 0.6941 data_time: 0.0214 memory: 17350 grad_norm: 5.3591 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8860 loss: 1.8860 2022/07/22 22:12:41 - mmengine - INFO - Epoch(train) [30][1180/3757] lr: 1.0000e-02 eta: 2 days, 0:57:40 time: 0.6591 data_time: 0.0255 memory: 17350 grad_norm: 5.4798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9921 loss: 1.9921 2022/07/22 22:12:55 - mmengine - INFO - Epoch(train) [30][1200/3757] lr: 1.0000e-02 eta: 2 days, 0:57:27 time: 0.6684 data_time: 0.0228 memory: 17350 grad_norm: 5.4867 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7676 loss: 1.7676 2022/07/22 22:13:07 - mmengine - INFO - Epoch(train) [30][1220/3757] lr: 1.0000e-02 eta: 2 days, 0:57:12 time: 0.6370 data_time: 0.0225 memory: 17350 grad_norm: 5.6053 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9855 loss: 1.9855 2022/07/22 22:13:21 - mmengine - INFO - Epoch(train) [30][1240/3757] lr: 1.0000e-02 eta: 2 days, 0:57:00 time: 0.6779 data_time: 0.0225 memory: 17350 grad_norm: 5.3099 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9623 loss: 1.9623 2022/07/22 22:13:35 - mmengine - INFO - Epoch(train) [30][1260/3757] lr: 1.0000e-02 eta: 2 days, 0:56:49 time: 0.7135 data_time: 0.0253 memory: 17350 grad_norm: 5.3002 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7066 loss: 1.7066 2022/07/22 22:13:47 - mmengine - INFO - Epoch(train) [30][1280/3757] lr: 1.0000e-02 eta: 2 days, 0:56:33 time: 0.6047 data_time: 0.0227 memory: 17350 grad_norm: 5.5272 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9731 loss: 1.9731 2022/07/22 22:14:02 - mmengine - INFO - Epoch(train) [30][1300/3757] lr: 1.0000e-02 eta: 2 days, 0:56:22 time: 0.7241 data_time: 0.0227 memory: 17350 grad_norm: 5.4697 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6801 loss: 1.6801 2022/07/22 22:14:14 - mmengine - INFO - Epoch(train) [30][1320/3757] lr: 1.0000e-02 eta: 2 days, 0:56:07 time: 0.6136 data_time: 0.0215 memory: 17350 grad_norm: 5.7115 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1769 loss: 2.1769 2022/07/22 22:14:28 - mmengine - INFO - Epoch(train) [30][1340/3757] lr: 1.0000e-02 eta: 2 days, 0:55:55 time: 0.7016 data_time: 0.0225 memory: 17350 grad_norm: 5.6874 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9944 loss: 1.9944 2022/07/22 22:14:42 - mmengine - INFO - Epoch(train) [30][1360/3757] lr: 1.0000e-02 eta: 2 days, 0:55:42 time: 0.6740 data_time: 0.0240 memory: 17350 grad_norm: 5.4877 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7653 loss: 1.7653 2022/07/22 22:14:54 - mmengine - INFO - Epoch(train) [30][1380/3757] lr: 1.0000e-02 eta: 2 days, 0:55:26 time: 0.6029 data_time: 0.0225 memory: 17350 grad_norm: 5.7644 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0483 loss: 2.0483 2022/07/22 22:15:09 - mmengine - INFO - Epoch(train) [30][1400/3757] lr: 1.0000e-02 eta: 2 days, 0:55:18 time: 0.7752 data_time: 0.0225 memory: 17350 grad_norm: 5.6130 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7984 loss: 1.7984 2022/07/22 22:15:21 - mmengine - INFO - Epoch(train) [30][1420/3757] lr: 1.0000e-02 eta: 2 days, 0:55:03 time: 0.6167 data_time: 0.0257 memory: 17350 grad_norm: 5.6028 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6510 loss: 1.6510 2022/07/22 22:15:36 - mmengine - INFO - Epoch(train) [30][1440/3757] lr: 1.0000e-02 eta: 2 days, 0:54:53 time: 0.7417 data_time: 0.0259 memory: 17350 grad_norm: 5.5367 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7433 loss: 1.7433 2022/07/22 22:15:48 - mmengine - INFO - Epoch(train) [30][1460/3757] lr: 1.0000e-02 eta: 2 days, 0:54:35 time: 0.5711 data_time: 0.0272 memory: 17350 grad_norm: 5.4337 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9263 loss: 1.9263 2022/07/22 22:16:05 - mmengine - INFO - Epoch(train) [30][1480/3757] lr: 1.0000e-02 eta: 2 days, 0:54:33 time: 0.8842 data_time: 0.0211 memory: 17350 grad_norm: 5.5032 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6805 loss: 1.6805 2022/07/22 22:16:14 - mmengine - INFO - Epoch(train) [30][1500/3757] lr: 1.0000e-02 eta: 2 days, 0:54:09 time: 0.4374 data_time: 0.0206 memory: 17350 grad_norm: 5.4035 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9416 loss: 1.9416 2022/07/22 22:16:30 - mmengine - INFO - Epoch(train) [30][1520/3757] lr: 1.0000e-02 eta: 2 days, 0:54:01 time: 0.7727 data_time: 0.0124 memory: 17350 grad_norm: 5.5733 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8159 loss: 1.8159 2022/07/22 22:16:42 - mmengine - INFO - Epoch(train) [30][1540/3757] lr: 1.0000e-02 eta: 2 days, 0:53:45 time: 0.6178 data_time: 0.0242 memory: 17350 grad_norm: 5.5956 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8279 loss: 1.8279 2022/07/22 22:16:56 - mmengine - INFO - Epoch(train) [30][1560/3757] lr: 1.0000e-02 eta: 2 days, 0:53:35 time: 0.7226 data_time: 0.0222 memory: 17350 grad_norm: 5.5330 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9818 loss: 1.9818 2022/07/22 22:17:09 - mmengine - INFO - Epoch(train) [30][1580/3757] lr: 1.0000e-02 eta: 2 days, 0:53:19 time: 0.6047 data_time: 0.0211 memory: 17350 grad_norm: 5.6283 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0624 loss: 2.0624 2022/07/22 22:17:23 - mmengine - INFO - Epoch(train) [30][1600/3757] lr: 1.0000e-02 eta: 2 days, 0:53:09 time: 0.7416 data_time: 0.0214 memory: 17350 grad_norm: 5.3500 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7256 loss: 1.7256 2022/07/22 22:17:35 - mmengine - INFO - Epoch(train) [30][1620/3757] lr: 1.0000e-02 eta: 2 days, 0:52:52 time: 0.5779 data_time: 0.0238 memory: 17350 grad_norm: 5.4963 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7889 loss: 1.7889 2022/07/22 22:17:50 - mmengine - INFO - Epoch(train) [30][1640/3757] lr: 1.0000e-02 eta: 2 days, 0:52:42 time: 0.7348 data_time: 0.0210 memory: 17350 grad_norm: 5.3442 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9047 loss: 1.9047 2022/07/22 22:18:02 - mmengine - INFO - Epoch(train) [30][1660/3757] lr: 1.0000e-02 eta: 2 days, 0:52:27 time: 0.6272 data_time: 0.0234 memory: 17350 grad_norm: 5.4834 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8325 loss: 1.8325 2022/07/22 22:18:17 - mmengine - INFO - Epoch(train) [30][1680/3757] lr: 1.0000e-02 eta: 2 days, 0:52:18 time: 0.7504 data_time: 0.0244 memory: 17350 grad_norm: 5.3247 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8642 loss: 1.8642 2022/07/22 22:18:29 - mmengine - INFO - Epoch(train) [30][1700/3757] lr: 1.0000e-02 eta: 2 days, 0:52:02 time: 0.6110 data_time: 0.0234 memory: 17350 grad_norm: 5.5686 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9885 loss: 1.9885 2022/07/22 22:18:44 - mmengine - INFO - Epoch(train) [30][1720/3757] lr: 1.0000e-02 eta: 2 days, 0:51:52 time: 0.7262 data_time: 0.0205 memory: 17350 grad_norm: 5.5052 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9217 loss: 1.9217 2022/07/22 22:18:56 - mmengine - INFO - Epoch(train) [30][1740/3757] lr: 1.0000e-02 eta: 2 days, 0:51:35 time: 0.5922 data_time: 0.0221 memory: 17350 grad_norm: 5.4363 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6322 loss: 1.6322 2022/07/22 22:19:10 - mmengine - INFO - Epoch(train) [30][1760/3757] lr: 1.0000e-02 eta: 2 days, 0:51:24 time: 0.7124 data_time: 0.0210 memory: 17350 grad_norm: 5.4698 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8966 loss: 1.8966 2022/07/22 22:19:22 - mmengine - INFO - Epoch(train) [30][1780/3757] lr: 1.0000e-02 eta: 2 days, 0:51:07 time: 0.5916 data_time: 0.0237 memory: 17350 grad_norm: 5.5101 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8433 loss: 1.8433 2022/07/22 22:19:36 - mmengine - INFO - Epoch(train) [30][1800/3757] lr: 1.0000e-02 eta: 2 days, 0:50:56 time: 0.6997 data_time: 0.0234 memory: 17350 grad_norm: 5.6453 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5229 loss: 1.5229 2022/07/22 22:19:48 - mmengine - INFO - Epoch(train) [30][1820/3757] lr: 1.0000e-02 eta: 2 days, 0:50:39 time: 0.5890 data_time: 0.0455 memory: 17350 grad_norm: 5.4228 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9960 loss: 1.9960 2022/07/22 22:20:03 - mmengine - INFO - Epoch(train) [30][1840/3757] lr: 1.0000e-02 eta: 2 days, 0:50:30 time: 0.7603 data_time: 0.0206 memory: 17350 grad_norm: 5.5966 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5859 loss: 1.5859 2022/07/22 22:20:16 - mmengine - INFO - Epoch(train) [30][1860/3757] lr: 1.0000e-02 eta: 2 days, 0:50:17 time: 0.6684 data_time: 0.0237 memory: 17350 grad_norm: 5.3352 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5744 loss: 1.5744 2022/07/22 22:20:29 - mmengine - INFO - Epoch(train) [30][1880/3757] lr: 1.0000e-02 eta: 2 days, 0:50:03 time: 0.6436 data_time: 0.0212 memory: 17350 grad_norm: 5.3689 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8749 loss: 1.8749 2022/07/22 22:20:43 - mmengine - INFO - Epoch(train) [30][1900/3757] lr: 1.0000e-02 eta: 2 days, 0:49:51 time: 0.7050 data_time: 0.0230 memory: 17350 grad_norm: 5.8010 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9142 loss: 1.9142 2022/07/22 22:20:55 - mmengine - INFO - Epoch(train) [30][1920/3757] lr: 1.0000e-02 eta: 2 days, 0:49:35 time: 0.6056 data_time: 0.0210 memory: 17350 grad_norm: 5.5150 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8538 loss: 1.8538 2022/07/22 22:21:09 - mmengine - INFO - Epoch(train) [30][1940/3757] lr: 1.0000e-02 eta: 2 days, 0:49:23 time: 0.6873 data_time: 0.0294 memory: 17350 grad_norm: 5.6117 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6801 loss: 1.6801 2022/07/22 22:21:21 - mmengine - INFO - Epoch(train) [30][1960/3757] lr: 1.0000e-02 eta: 2 days, 0:49:07 time: 0.6005 data_time: 0.0231 memory: 17350 grad_norm: 5.5571 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7734 loss: 1.7734 2022/07/22 22:21:36 - mmengine - INFO - Epoch(train) [30][1980/3757] lr: 1.0000e-02 eta: 2 days, 0:48:57 time: 0.7226 data_time: 0.1076 memory: 17350 grad_norm: 5.4424 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0024 loss: 2.0024 2022/07/22 22:21:49 - mmengine - INFO - Epoch(train) [30][2000/3757] lr: 1.0000e-02 eta: 2 days, 0:48:42 time: 0.6440 data_time: 0.0267 memory: 17350 grad_norm: 5.3654 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8868 loss: 1.8868 2022/07/22 22:22:02 - mmengine - INFO - Epoch(train) [30][2020/3757] lr: 1.0000e-02 eta: 2 days, 0:48:29 time: 0.6653 data_time: 0.0211 memory: 17350 grad_norm: 5.3873 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1743 loss: 2.1743 2022/07/22 22:22:15 - mmengine - INFO - Epoch(train) [30][2040/3757] lr: 1.0000e-02 eta: 2 days, 0:48:14 time: 0.6353 data_time: 0.0431 memory: 17350 grad_norm: 5.3835 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0427 loss: 2.0427 2022/07/22 22:22:18 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 22:22:28 - mmengine - INFO - Epoch(train) [30][2060/3757] lr: 1.0000e-02 eta: 2 days, 0:48:02 time: 0.6887 data_time: 0.2351 memory: 17350 grad_norm: 5.6775 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6636 loss: 1.6636 2022/07/22 22:22:41 - mmengine - INFO - Epoch(train) [30][2080/3757] lr: 1.0000e-02 eta: 2 days, 0:47:47 time: 0.6226 data_time: 0.1690 memory: 17350 grad_norm: 5.7718 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1300 loss: 2.1300 2022/07/22 22:22:54 - mmengine - INFO - Epoch(train) [30][2100/3757] lr: 1.0000e-02 eta: 2 days, 0:47:34 time: 0.6635 data_time: 0.1693 memory: 17350 grad_norm: 5.3877 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6822 loss: 1.6822 2022/07/22 22:23:08 - mmengine - INFO - Epoch(train) [30][2120/3757] lr: 1.0000e-02 eta: 2 days, 0:47:22 time: 0.6954 data_time: 0.1315 memory: 17350 grad_norm: 5.5401 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8404 loss: 1.8404 2022/07/22 22:23:21 - mmengine - INFO - Epoch(train) [30][2140/3757] lr: 1.0000e-02 eta: 2 days, 0:47:08 time: 0.6463 data_time: 0.1073 memory: 17350 grad_norm: 5.6195 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5637 loss: 1.5637 2022/07/22 22:23:35 - mmengine - INFO - Epoch(train) [30][2160/3757] lr: 1.0000e-02 eta: 2 days, 0:46:57 time: 0.7040 data_time: 0.0274 memory: 17350 grad_norm: 5.6798 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7777 loss: 1.7777 2022/07/22 22:23:48 - mmengine - INFO - Epoch(train) [30][2180/3757] lr: 1.0000e-02 eta: 2 days, 0:46:43 time: 0.6471 data_time: 0.0427 memory: 17350 grad_norm: 5.4324 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8326 loss: 1.8326 2022/07/22 22:24:02 - mmengine - INFO - Epoch(train) [30][2200/3757] lr: 1.0000e-02 eta: 2 days, 0:46:31 time: 0.6967 data_time: 0.0212 memory: 17350 grad_norm: 5.4282 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7522 loss: 1.7522 2022/07/22 22:24:15 - mmengine - INFO - Epoch(train) [30][2220/3757] lr: 1.0000e-02 eta: 2 days, 0:46:16 time: 0.6307 data_time: 0.0229 memory: 17350 grad_norm: 5.4630 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8667 loss: 1.8667 2022/07/22 22:24:29 - mmengine - INFO - Epoch(train) [30][2240/3757] lr: 1.0000e-02 eta: 2 days, 0:46:05 time: 0.7176 data_time: 0.0218 memory: 17350 grad_norm: 5.3303 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9214 loss: 1.9214 2022/07/22 22:24:41 - mmengine - INFO - Epoch(train) [30][2260/3757] lr: 1.0000e-02 eta: 2 days, 0:45:49 time: 0.6069 data_time: 0.0228 memory: 17350 grad_norm: 5.4109 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8067 loss: 1.8067 2022/07/22 22:24:56 - mmengine - INFO - Epoch(train) [30][2280/3757] lr: 1.0000e-02 eta: 2 days, 0:45:41 time: 0.7671 data_time: 0.0217 memory: 17350 grad_norm: 5.3430 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6244 loss: 1.6244 2022/07/22 22:25:09 - mmengine - INFO - Epoch(train) [30][2300/3757] lr: 1.0000e-02 eta: 2 days, 0:45:25 time: 0.6132 data_time: 0.0255 memory: 17350 grad_norm: 5.5280 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7958 loss: 1.7958 2022/07/22 22:25:23 - mmengine - INFO - Epoch(train) [30][2320/3757] lr: 1.0000e-02 eta: 2 days, 0:45:15 time: 0.7238 data_time: 0.0209 memory: 17350 grad_norm: 5.5325 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8406 loss: 1.8406 2022/07/22 22:25:35 - mmengine - INFO - Epoch(train) [30][2340/3757] lr: 1.0000e-02 eta: 2 days, 0:44:58 time: 0.5901 data_time: 0.0233 memory: 17350 grad_norm: 5.4076 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9705 loss: 1.9705 2022/07/22 22:25:50 - mmengine - INFO - Epoch(train) [30][2360/3757] lr: 1.0000e-02 eta: 2 days, 0:44:48 time: 0.7334 data_time: 0.0234 memory: 17350 grad_norm: 5.4284 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6208 loss: 1.6208 2022/07/22 22:26:02 - mmengine - INFO - Epoch(train) [30][2380/3757] lr: 1.0000e-02 eta: 2 days, 0:44:33 time: 0.6162 data_time: 0.0254 memory: 17350 grad_norm: 5.5352 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6897 loss: 1.6897 2022/07/22 22:26:15 - mmengine - INFO - Epoch(train) [30][2400/3757] lr: 1.0000e-02 eta: 2 days, 0:44:18 time: 0.6356 data_time: 0.0221 memory: 17350 grad_norm: 5.7935 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7779 loss: 1.7779 2022/07/22 22:26:27 - mmengine - INFO - Epoch(train) [30][2420/3757] lr: 1.0000e-02 eta: 2 days, 0:44:04 time: 0.6420 data_time: 0.0260 memory: 17350 grad_norm: 5.5184 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4918 loss: 1.4918 2022/07/22 22:26:40 - mmengine - INFO - Epoch(train) [30][2440/3757] lr: 1.0000e-02 eta: 2 days, 0:43:48 time: 0.6196 data_time: 0.0789 memory: 17350 grad_norm: 5.5961 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0935 loss: 2.0935 2022/07/22 22:26:55 - mmengine - INFO - Epoch(train) [30][2460/3757] lr: 1.0000e-02 eta: 2 days, 0:43:39 time: 0.7378 data_time: 0.0786 memory: 17350 grad_norm: 5.3759 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8261 loss: 1.8261 2022/07/22 22:27:08 - mmengine - INFO - Epoch(train) [30][2480/3757] lr: 1.0000e-02 eta: 2 days, 0:43:24 time: 0.6427 data_time: 0.0274 memory: 17350 grad_norm: 5.6312 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7750 loss: 1.7750 2022/07/22 22:27:20 - mmengine - INFO - Epoch(train) [30][2500/3757] lr: 1.0000e-02 eta: 2 days, 0:43:09 time: 0.6320 data_time: 0.0220 memory: 17350 grad_norm: 5.6176 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9138 loss: 1.9138 2022/07/22 22:27:33 - mmengine - INFO - Epoch(train) [30][2520/3757] lr: 1.0000e-02 eta: 2 days, 0:42:54 time: 0.6228 data_time: 0.0228 memory: 17350 grad_norm: 5.7008 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1676 loss: 2.1676 2022/07/22 22:27:47 - mmengine - INFO - Epoch(train) [30][2540/3757] lr: 1.0000e-02 eta: 2 days, 0:42:44 time: 0.7320 data_time: 0.0225 memory: 17350 grad_norm: 5.4507 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5708 loss: 1.5708 2022/07/22 22:27:59 - mmengine - INFO - Epoch(train) [30][2560/3757] lr: 1.0000e-02 eta: 2 days, 0:42:26 time: 0.5652 data_time: 0.0219 memory: 17350 grad_norm: 5.4136 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9407 loss: 1.9407 2022/07/22 22:28:14 - mmengine - INFO - Epoch(train) [30][2580/3757] lr: 1.0000e-02 eta: 2 days, 0:42:18 time: 0.7657 data_time: 0.0242 memory: 17350 grad_norm: 5.5238 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8652 loss: 1.8652 2022/07/22 22:28:26 - mmengine - INFO - Epoch(train) [30][2600/3757] lr: 1.0000e-02 eta: 2 days, 0:42:02 time: 0.6168 data_time: 0.0268 memory: 17350 grad_norm: 5.5186 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7455 loss: 1.7455 2022/07/22 22:28:42 - mmengine - INFO - Epoch(train) [30][2620/3757] lr: 1.0000e-02 eta: 2 days, 0:41:54 time: 0.7629 data_time: 0.0220 memory: 17350 grad_norm: 5.6758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7973 loss: 1.7973 2022/07/22 22:28:55 - mmengine - INFO - Epoch(train) [30][2640/3757] lr: 1.0000e-02 eta: 2 days, 0:41:42 time: 0.6849 data_time: 0.0234 memory: 17350 grad_norm: 5.5900 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6872 loss: 1.6872 2022/07/22 22:29:06 - mmengine - INFO - Epoch(train) [30][2660/3757] lr: 1.0000e-02 eta: 2 days, 0:41:22 time: 0.5292 data_time: 0.0394 memory: 17350 grad_norm: 5.6367 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9361 loss: 1.9361 2022/07/22 22:29:18 - mmengine - INFO - Epoch(train) [30][2680/3757] lr: 1.0000e-02 eta: 2 days, 0:41:06 time: 0.6183 data_time: 0.0204 memory: 17350 grad_norm: 5.5874 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6745 loss: 1.6745 2022/07/22 22:29:32 - mmengine - INFO - Epoch(train) [30][2700/3757] lr: 1.0000e-02 eta: 2 days, 0:40:54 time: 0.6852 data_time: 0.0351 memory: 17350 grad_norm: 5.5257 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7920 loss: 1.7920 2022/07/22 22:29:45 - mmengine - INFO - Epoch(train) [30][2720/3757] lr: 1.0000e-02 eta: 2 days, 0:40:39 time: 0.6326 data_time: 0.0323 memory: 17350 grad_norm: 5.5185 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0239 loss: 2.0239 2022/07/22 22:29:59 - mmengine - INFO - Epoch(train) [30][2740/3757] lr: 1.0000e-02 eta: 2 days, 0:40:28 time: 0.7124 data_time: 0.0773 memory: 17350 grad_norm: 5.5286 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6478 loss: 1.6478 2022/07/22 22:30:12 - mmengine - INFO - Epoch(train) [30][2760/3757] lr: 1.0000e-02 eta: 2 days, 0:40:15 time: 0.6606 data_time: 0.0535 memory: 17350 grad_norm: 5.5051 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6347 loss: 1.6347 2022/07/22 22:30:27 - mmengine - INFO - Epoch(train) [30][2780/3757] lr: 1.0000e-02 eta: 2 days, 0:40:05 time: 0.7331 data_time: 0.0380 memory: 17350 grad_norm: 5.2105 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8350 loss: 1.8350 2022/07/22 22:30:39 - mmengine - INFO - Epoch(train) [30][2800/3757] lr: 1.0000e-02 eta: 2 days, 0:39:50 time: 0.6168 data_time: 0.0205 memory: 17350 grad_norm: 5.4545 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0315 loss: 2.0315 2022/07/22 22:30:53 - mmengine - INFO - Epoch(train) [30][2820/3757] lr: 1.0000e-02 eta: 2 days, 0:39:39 time: 0.7173 data_time: 0.0327 memory: 17350 grad_norm: 5.4904 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7963 loss: 1.7963 2022/07/22 22:31:06 - mmengine - INFO - Epoch(train) [30][2840/3757] lr: 1.0000e-02 eta: 2 days, 0:39:24 time: 0.6399 data_time: 0.0225 memory: 17350 grad_norm: 5.3565 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9647 loss: 1.9647 2022/07/22 22:31:19 - mmengine - INFO - Epoch(train) [30][2860/3757] lr: 1.0000e-02 eta: 2 days, 0:39:10 time: 0.6459 data_time: 0.0228 memory: 17350 grad_norm: 5.4696 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1965 loss: 2.1965 2022/07/22 22:31:33 - mmengine - INFO - Epoch(train) [30][2880/3757] lr: 1.0000e-02 eta: 2 days, 0:38:58 time: 0.6896 data_time: 0.0221 memory: 17350 grad_norm: 5.4339 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7232 loss: 1.7232 2022/07/22 22:31:46 - mmengine - INFO - Epoch(train) [30][2900/3757] lr: 1.0000e-02 eta: 2 days, 0:38:44 time: 0.6349 data_time: 0.0236 memory: 17350 grad_norm: 5.8254 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9116 loss: 1.9116 2022/07/22 22:32:00 - mmengine - INFO - Epoch(train) [30][2920/3757] lr: 1.0000e-02 eta: 2 days, 0:38:32 time: 0.7072 data_time: 0.0286 memory: 17350 grad_norm: 5.4550 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9232 loss: 1.9232 2022/07/22 22:32:12 - mmengine - INFO - Epoch(train) [30][2940/3757] lr: 1.0000e-02 eta: 2 days, 0:38:16 time: 0.5990 data_time: 0.0241 memory: 17350 grad_norm: 5.5410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6815 loss: 1.6815 2022/07/22 22:32:27 - mmengine - INFO - Epoch(train) [30][2960/3757] lr: 1.0000e-02 eta: 2 days, 0:38:07 time: 0.7543 data_time: 0.0219 memory: 17350 grad_norm: 5.7770 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7430 loss: 1.7430 2022/07/22 22:32:38 - mmengine - INFO - Epoch(train) [30][2980/3757] lr: 1.0000e-02 eta: 2 days, 0:37:49 time: 0.5670 data_time: 0.0229 memory: 17350 grad_norm: 5.6034 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1010 loss: 2.1010 2022/07/22 22:32:52 - mmengine - INFO - Epoch(train) [30][3000/3757] lr: 1.0000e-02 eta: 2 days, 0:37:38 time: 0.6983 data_time: 0.0203 memory: 17350 grad_norm: 5.5301 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9592 loss: 1.9592 2022/07/22 22:33:05 - mmengine - INFO - Epoch(train) [30][3020/3757] lr: 1.0000e-02 eta: 2 days, 0:37:23 time: 0.6360 data_time: 0.0335 memory: 17350 grad_norm: 5.4508 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0593 loss: 2.0593 2022/07/22 22:33:19 - mmengine - INFO - Epoch(train) [30][3040/3757] lr: 1.0000e-02 eta: 2 days, 0:37:12 time: 0.7074 data_time: 0.0215 memory: 17350 grad_norm: 5.4679 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9217 loss: 1.9217 2022/07/22 22:33:24 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 22:33:32 - mmengine - INFO - Epoch(train) [30][3060/3757] lr: 1.0000e-02 eta: 2 days, 0:36:57 time: 0.6306 data_time: 0.0225 memory: 17350 grad_norm: 5.5050 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0267 loss: 2.0267 2022/07/22 22:33:47 - mmengine - INFO - Epoch(train) [30][3080/3757] lr: 1.0000e-02 eta: 2 days, 0:36:48 time: 0.7658 data_time: 0.0241 memory: 17350 grad_norm: 5.4671 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9499 loss: 1.9499 2022/07/22 22:33:58 - mmengine - INFO - Epoch(train) [30][3100/3757] lr: 1.0000e-02 eta: 2 days, 0:36:30 time: 0.5507 data_time: 0.0231 memory: 17350 grad_norm: 5.4243 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1010 loss: 2.1010 2022/07/22 22:34:13 - mmengine - INFO - Epoch(train) [30][3120/3757] lr: 1.0000e-02 eta: 2 days, 0:36:21 time: 0.7549 data_time: 0.0252 memory: 17350 grad_norm: 5.3470 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9382 loss: 1.9382 2022/07/22 22:34:25 - mmengine - INFO - Epoch(train) [30][3140/3757] lr: 1.0000e-02 eta: 2 days, 0:36:04 time: 0.5942 data_time: 0.0242 memory: 17350 grad_norm: 5.4707 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8603 loss: 1.8603 2022/07/22 22:34:39 - mmengine - INFO - Epoch(train) [30][3160/3757] lr: 1.0000e-02 eta: 2 days, 0:35:53 time: 0.7133 data_time: 0.0220 memory: 17350 grad_norm: 5.4304 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9286 loss: 1.9286 2022/07/22 22:34:51 - mmengine - INFO - Epoch(train) [30][3180/3757] lr: 1.0000e-02 eta: 2 days, 0:35:37 time: 0.5910 data_time: 0.0240 memory: 17350 grad_norm: 5.5851 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8439 loss: 1.8439 2022/07/22 22:35:06 - mmengine - INFO - Epoch(train) [30][3200/3757] lr: 1.0000e-02 eta: 2 days, 0:35:27 time: 0.7351 data_time: 0.0239 memory: 17350 grad_norm: 5.5432 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1721 loss: 2.1721 2022/07/22 22:35:18 - mmengine - INFO - Epoch(train) [30][3220/3757] lr: 1.0000e-02 eta: 2 days, 0:35:11 time: 0.6097 data_time: 0.0227 memory: 17350 grad_norm: 5.4686 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8993 loss: 1.8993 2022/07/22 22:35:31 - mmengine - INFO - Epoch(train) [30][3240/3757] lr: 1.0000e-02 eta: 2 days, 0:34:57 time: 0.6570 data_time: 0.0219 memory: 17350 grad_norm: 5.4739 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0202 loss: 2.0202 2022/07/22 22:35:46 - mmengine - INFO - Epoch(train) [30][3260/3757] lr: 1.0000e-02 eta: 2 days, 0:34:47 time: 0.7209 data_time: 0.0251 memory: 17350 grad_norm: 5.5478 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8953 loss: 1.8953 2022/07/22 22:35:58 - mmengine - INFO - Epoch(train) [30][3280/3757] lr: 1.0000e-02 eta: 2 days, 0:34:31 time: 0.6028 data_time: 0.0213 memory: 17350 grad_norm: 5.6996 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1302 loss: 2.1302 2022/07/22 22:36:11 - mmengine - INFO - Epoch(train) [30][3300/3757] lr: 1.0000e-02 eta: 2 days, 0:34:17 time: 0.6492 data_time: 0.0241 memory: 17350 grad_norm: 5.6061 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1133 loss: 2.1133 2022/07/22 22:36:24 - mmengine - INFO - Epoch(train) [30][3320/3757] lr: 1.0000e-02 eta: 2 days, 0:34:03 time: 0.6626 data_time: 0.0236 memory: 17350 grad_norm: 5.5371 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8078 loss: 1.8078 2022/07/22 22:36:38 - mmengine - INFO - Epoch(train) [30][3340/3757] lr: 1.0000e-02 eta: 2 days, 0:33:52 time: 0.7124 data_time: 0.0308 memory: 17350 grad_norm: 5.5676 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8067 loss: 1.8067 2022/07/22 22:36:50 - mmengine - INFO - Epoch(train) [30][3360/3757] lr: 1.0000e-02 eta: 2 days, 0:33:35 time: 0.5860 data_time: 0.0206 memory: 17350 grad_norm: 5.2810 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7977 loss: 1.7977 2022/07/22 22:37:06 - mmengine - INFO - Epoch(train) [30][3380/3757] lr: 1.0000e-02 eta: 2 days, 0:33:28 time: 0.7829 data_time: 0.0238 memory: 17350 grad_norm: 5.6669 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9538 loss: 1.9538 2022/07/22 22:37:17 - mmengine - INFO - Epoch(train) [30][3400/3757] lr: 1.0000e-02 eta: 2 days, 0:33:10 time: 0.5734 data_time: 0.0235 memory: 17350 grad_norm: 5.2485 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0028 loss: 2.0028 2022/07/22 22:37:31 - mmengine - INFO - Epoch(train) [30][3420/3757] lr: 1.0000e-02 eta: 2 days, 0:32:59 time: 0.7051 data_time: 0.0897 memory: 17350 grad_norm: 5.4579 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9387 loss: 1.9387 2022/07/22 22:37:44 - mmengine - INFO - Epoch(train) [30][3440/3757] lr: 1.0000e-02 eta: 2 days, 0:32:44 time: 0.6309 data_time: 0.0779 memory: 17350 grad_norm: 5.3022 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6512 loss: 1.6512 2022/07/22 22:37:59 - mmengine - INFO - Epoch(train) [30][3460/3757] lr: 1.0000e-02 eta: 2 days, 0:32:34 time: 0.7375 data_time: 0.1833 memory: 17350 grad_norm: 5.5095 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8636 loss: 1.8636 2022/07/22 22:38:10 - mmengine - INFO - Epoch(train) [30][3480/3757] lr: 1.0000e-02 eta: 2 days, 0:32:17 time: 0.5719 data_time: 0.0868 memory: 17350 grad_norm: 5.4962 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9000 loss: 1.9000 2022/07/22 22:38:25 - mmengine - INFO - Epoch(train) [30][3500/3757] lr: 1.0000e-02 eta: 2 days, 0:32:07 time: 0.7441 data_time: 0.1155 memory: 17350 grad_norm: 5.4075 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7481 loss: 1.7481 2022/07/22 22:38:37 - mmengine - INFO - Epoch(train) [30][3520/3757] lr: 1.0000e-02 eta: 2 days, 0:31:51 time: 0.6058 data_time: 0.0458 memory: 17350 grad_norm: 5.5826 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1121 loss: 2.1121 2022/07/22 22:38:52 - mmengine - INFO - Epoch(train) [30][3540/3757] lr: 1.0000e-02 eta: 2 days, 0:31:42 time: 0.7583 data_time: 0.0218 memory: 17350 grad_norm: 5.5225 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5899 loss: 1.5899 2022/07/22 22:39:04 - mmengine - INFO - Epoch(train) [30][3560/3757] lr: 1.0000e-02 eta: 2 days, 0:31:25 time: 0.5758 data_time: 0.0252 memory: 17350 grad_norm: 5.5343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0594 loss: 2.0594 2022/07/22 22:39:18 - mmengine - INFO - Epoch(train) [30][3580/3757] lr: 1.0000e-02 eta: 2 days, 0:31:14 time: 0.7131 data_time: 0.0226 memory: 17350 grad_norm: 5.7248 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8001 loss: 1.8001 2022/07/22 22:39:30 - mmengine - INFO - Epoch(train) [30][3600/3757] lr: 1.0000e-02 eta: 2 days, 0:30:57 time: 0.5926 data_time: 0.0223 memory: 17350 grad_norm: 5.4356 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8908 loss: 1.8908 2022/07/22 22:39:44 - mmengine - INFO - Epoch(train) [30][3620/3757] lr: 1.0000e-02 eta: 2 days, 0:30:46 time: 0.7078 data_time: 0.0241 memory: 17350 grad_norm: 5.4400 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7226 loss: 1.7226 2022/07/22 22:39:57 - mmengine - INFO - Epoch(train) [30][3640/3757] lr: 1.0000e-02 eta: 2 days, 0:30:32 time: 0.6400 data_time: 0.0233 memory: 17350 grad_norm: 5.4601 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9354 loss: 1.9354 2022/07/22 22:40:12 - mmengine - INFO - Epoch(train) [30][3660/3757] lr: 1.0000e-02 eta: 2 days, 0:30:22 time: 0.7434 data_time: 0.0216 memory: 17350 grad_norm: 5.4134 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9770 loss: 1.9770 2022/07/22 22:40:24 - mmengine - INFO - Epoch(train) [30][3680/3757] lr: 1.0000e-02 eta: 2 days, 0:30:07 time: 0.6234 data_time: 0.0243 memory: 17350 grad_norm: 5.5406 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8444 loss: 1.8444 2022/07/22 22:40:38 - mmengine - INFO - Epoch(train) [30][3700/3757] lr: 1.0000e-02 eta: 2 days, 0:29:54 time: 0.6780 data_time: 0.0245 memory: 17350 grad_norm: 5.6472 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9002 loss: 1.9002 2022/07/22 22:40:51 - mmengine - INFO - Epoch(train) [30][3720/3757] lr: 1.0000e-02 eta: 2 days, 0:29:42 time: 0.6829 data_time: 0.0237 memory: 17350 grad_norm: 5.4980 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9363 loss: 1.9363 2022/07/22 22:41:06 - mmengine - INFO - Epoch(train) [30][3740/3757] lr: 1.0000e-02 eta: 2 days, 0:29:31 time: 0.7074 data_time: 0.0262 memory: 17350 grad_norm: 5.5703 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8321 loss: 1.8321 2022/07/22 22:41:13 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 22:41:13 - mmengine - INFO - Epoch(train) [30][3757/3757] lr: 1.0000e-02 eta: 2 days, 0:29:31 time: 0.5113 data_time: 0.0223 memory: 17350 grad_norm: 5.4095 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.9234 loss: 1.9234 2022/07/22 22:41:13 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/07/22 22:41:34 - mmengine - INFO - Epoch(val) [30][20/310] eta: 0:03:57 time: 0.8192 data_time: 0.7042 memory: 3406 2022/07/22 22:41:45 - mmengine - INFO - Epoch(val) [30][40/310] eta: 0:02:25 time: 0.5399 data_time: 0.4263 memory: 3406 2022/07/22 22:42:00 - mmengine - INFO - Epoch(val) [30][60/310] eta: 0:03:02 time: 0.7280 data_time: 0.6147 memory: 3406 2022/07/22 22:42:12 - mmengine - INFO - Epoch(val) [30][80/310] eta: 0:02:22 time: 0.6183 data_time: 0.5053 memory: 3406 2022/07/22 22:42:26 - mmengine - INFO - Epoch(val) [30][100/310] eta: 0:02:27 time: 0.7028 data_time: 0.5889 memory: 3406 2022/07/22 22:42:38 - mmengine - INFO - Epoch(val) [30][120/310] eta: 0:01:55 time: 0.6076 data_time: 0.4957 memory: 3406 2022/07/22 22:42:53 - mmengine - INFO - Epoch(val) [30][140/310] eta: 0:02:04 time: 0.7319 data_time: 0.6180 memory: 3406 2022/07/22 22:43:05 - mmengine - INFO - Epoch(val) [30][160/310] eta: 0:01:28 time: 0.5900 data_time: 0.4778 memory: 3406 2022/07/22 22:43:20 - mmengine - INFO - Epoch(val) [30][180/310] eta: 0:01:36 time: 0.7432 data_time: 0.6300 memory: 3406 2022/07/22 22:43:31 - mmengine - INFO - Epoch(val) [30][200/310] eta: 0:01:03 time: 0.5758 data_time: 0.4634 memory: 3406 2022/07/22 22:43:46 - mmengine - INFO - Epoch(val) [30][220/310] eta: 0:01:06 time: 0.7360 data_time: 0.6223 memory: 3406 2022/07/22 22:43:57 - mmengine - INFO - Epoch(val) [30][240/310] eta: 0:00:38 time: 0.5523 data_time: 0.4386 memory: 3406 2022/07/22 22:44:12 - mmengine - INFO - Epoch(val) [30][260/310] eta: 0:00:37 time: 0.7502 data_time: 0.6362 memory: 3406 2022/07/22 22:44:23 - mmengine - INFO - Epoch(val) [30][280/310] eta: 0:00:16 time: 0.5463 data_time: 0.4319 memory: 3406 2022/07/22 22:44:36 - mmengine - INFO - Epoch(val) [30][300/310] eta: 0:00:06 time: 0.6361 data_time: 0.5233 memory: 3406 2022/07/22 22:44:39 - mmengine - INFO - Epoch(val) [30][310/310] acc/top1: 0.5820 acc/top5: 0.8169 acc/mean1: 0.5819 2022/07/22 22:44:57 - mmengine - INFO - Epoch(train) [31][20/3757] lr: 1.0000e-02 eta: 2 days, 0:28:51 time: 0.8948 data_time: 0.4331 memory: 17350 grad_norm: 5.3849 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5794 loss: 1.5794 2022/07/22 22:45:09 - mmengine - INFO - Epoch(train) [31][40/3757] lr: 1.0000e-02 eta: 2 days, 0:28:36 time: 0.6245 data_time: 0.1178 memory: 17350 grad_norm: 5.6005 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1044 loss: 2.1044 2022/07/22 22:45:24 - mmengine - INFO - Epoch(train) [31][60/3757] lr: 1.0000e-02 eta: 2 days, 0:28:27 time: 0.7557 data_time: 0.1483 memory: 17350 grad_norm: 5.4360 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7670 loss: 1.7670 2022/07/22 22:45:36 - mmengine - INFO - Epoch(train) [31][80/3757] lr: 1.0000e-02 eta: 2 days, 0:28:10 time: 0.6000 data_time: 0.1371 memory: 17350 grad_norm: 5.2489 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8271 loss: 1.8271 2022/07/22 22:45:51 - mmengine - INFO - Epoch(train) [31][100/3757] lr: 1.0000e-02 eta: 2 days, 0:28:00 time: 0.7213 data_time: 0.2960 memory: 17350 grad_norm: 5.2635 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8733 loss: 1.8733 2022/07/22 22:46:04 - mmengine - INFO - Epoch(train) [31][120/3757] lr: 1.0000e-02 eta: 2 days, 0:27:45 time: 0.6312 data_time: 0.2156 memory: 17350 grad_norm: 5.6253 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9887 loss: 1.9887 2022/07/22 22:46:19 - mmengine - INFO - Epoch(train) [31][140/3757] lr: 1.0000e-02 eta: 2 days, 0:27:37 time: 0.7718 data_time: 0.2173 memory: 17350 grad_norm: 5.2979 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6689 loss: 1.6689 2022/07/22 22:46:31 - mmengine - INFO - Epoch(train) [31][160/3757] lr: 1.0000e-02 eta: 2 days, 0:27:20 time: 0.5910 data_time: 0.1351 memory: 17350 grad_norm: 5.5055 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8554 loss: 1.8554 2022/07/22 22:46:47 - mmengine - INFO - Epoch(train) [31][180/3757] lr: 1.0000e-02 eta: 2 days, 0:27:13 time: 0.7957 data_time: 0.2203 memory: 17350 grad_norm: 5.2964 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0528 loss: 2.0528 2022/07/22 22:46:57 - mmengine - INFO - Epoch(train) [31][200/3757] lr: 1.0000e-02 eta: 2 days, 0:26:53 time: 0.5267 data_time: 0.1532 memory: 17350 grad_norm: 5.5726 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8424 loss: 1.8424 2022/07/22 22:47:12 - mmengine - INFO - Epoch(train) [31][220/3757] lr: 1.0000e-02 eta: 2 days, 0:26:43 time: 0.7224 data_time: 0.3527 memory: 17350 grad_norm: 5.3848 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7295 loss: 1.7295 2022/07/22 22:47:24 - mmengine - INFO - Epoch(train) [31][240/3757] lr: 1.0000e-02 eta: 2 days, 0:26:27 time: 0.6187 data_time: 0.2830 memory: 17350 grad_norm: 5.4395 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7936 loss: 1.7936 2022/07/22 22:47:39 - mmengine - INFO - Epoch(train) [31][260/3757] lr: 1.0000e-02 eta: 2 days, 0:26:18 time: 0.7378 data_time: 0.4060 memory: 17350 grad_norm: 5.5491 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8325 loss: 1.8325 2022/07/22 22:47:50 - mmengine - INFO - Epoch(train) [31][280/3757] lr: 1.0000e-02 eta: 2 days, 0:26:00 time: 0.5727 data_time: 0.2395 memory: 17350 grad_norm: 5.1894 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8788 loss: 1.8788 2022/07/22 22:48:00 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 22:48:05 - mmengine - INFO - Epoch(train) [31][300/3757] lr: 1.0000e-02 eta: 2 days, 0:25:51 time: 0.7440 data_time: 0.4061 memory: 17350 grad_norm: 5.4320 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6010 loss: 1.6010 2022/07/22 22:48:18 - mmengine - INFO - Epoch(train) [31][320/3757] lr: 1.0000e-02 eta: 2 days, 0:25:36 time: 0.6377 data_time: 0.3056 memory: 17350 grad_norm: 5.4529 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0192 loss: 2.0192 2022/07/22 22:48:32 - mmengine - INFO - Epoch(train) [31][340/3757] lr: 1.0000e-02 eta: 2 days, 0:25:25 time: 0.7072 data_time: 0.3720 memory: 17350 grad_norm: 5.4365 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8812 loss: 1.8812 2022/07/22 22:48:45 - mmengine - INFO - Epoch(train) [31][360/3757] lr: 1.0000e-02 eta: 2 days, 0:25:10 time: 0.6400 data_time: 0.2920 memory: 17350 grad_norm: 5.5640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6076 loss: 1.6076 2022/07/22 22:48:59 - mmengine - INFO - Epoch(train) [31][380/3757] lr: 1.0000e-02 eta: 2 days, 0:24:59 time: 0.7058 data_time: 0.3717 memory: 17350 grad_norm: 5.7649 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8356 loss: 1.8356 2022/07/22 22:49:11 - mmengine - INFO - Epoch(train) [31][400/3757] lr: 1.0000e-02 eta: 2 days, 0:24:43 time: 0.5975 data_time: 0.2462 memory: 17350 grad_norm: 5.5255 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7063 loss: 1.7063 2022/07/22 22:49:26 - mmengine - INFO - Epoch(train) [31][420/3757] lr: 1.0000e-02 eta: 2 days, 0:24:33 time: 0.7298 data_time: 0.3846 memory: 17350 grad_norm: 5.5059 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8111 loss: 1.8111 2022/07/22 22:49:37 - mmengine - INFO - Epoch(train) [31][440/3757] lr: 1.0000e-02 eta: 2 days, 0:24:15 time: 0.5618 data_time: 0.2301 memory: 17350 grad_norm: 5.5125 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7981 loss: 1.7981 2022/07/22 22:49:51 - mmengine - INFO - Epoch(train) [31][460/3757] lr: 1.0000e-02 eta: 2 days, 0:24:04 time: 0.7169 data_time: 0.3729 memory: 17350 grad_norm: 5.4804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7562 loss: 1.7562 2022/07/22 22:50:03 - mmengine - INFO - Epoch(train) [31][480/3757] lr: 1.0000e-02 eta: 2 days, 0:23:46 time: 0.5677 data_time: 0.2373 memory: 17350 grad_norm: 5.6397 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8504 loss: 1.8504 2022/07/22 22:50:17 - mmengine - INFO - Epoch(train) [31][500/3757] lr: 1.0000e-02 eta: 2 days, 0:23:37 time: 0.7444 data_time: 0.4062 memory: 17350 grad_norm: 5.7890 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0818 loss: 2.0818 2022/07/22 22:50:30 - mmengine - INFO - Epoch(train) [31][520/3757] lr: 1.0000e-02 eta: 2 days, 0:23:22 time: 0.6458 data_time: 0.2721 memory: 17350 grad_norm: 5.4182 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9368 loss: 1.9368 2022/07/22 22:50:45 - mmengine - INFO - Epoch(train) [31][540/3757] lr: 1.0000e-02 eta: 2 days, 0:23:12 time: 0.7170 data_time: 0.2659 memory: 17350 grad_norm: 5.6186 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1203 loss: 2.1203 2022/07/22 22:50:57 - mmengine - INFO - Epoch(train) [31][560/3757] lr: 1.0000e-02 eta: 2 days, 0:22:56 time: 0.6074 data_time: 0.1248 memory: 17350 grad_norm: 5.1923 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8820 loss: 1.8820 2022/07/22 22:51:12 - mmengine - INFO - Epoch(train) [31][580/3757] lr: 1.0000e-02 eta: 2 days, 0:22:46 time: 0.7430 data_time: 0.2620 memory: 17350 grad_norm: 5.6465 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7537 loss: 1.7537 2022/07/22 22:51:25 - mmengine - INFO - Epoch(train) [31][600/3757] lr: 1.0000e-02 eta: 2 days, 0:22:32 time: 0.6398 data_time: 0.1748 memory: 17350 grad_norm: 5.3163 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1354 loss: 2.1354 2022/07/22 22:51:38 - mmengine - INFO - Epoch(train) [31][620/3757] lr: 1.0000e-02 eta: 2 days, 0:22:18 time: 0.6535 data_time: 0.2185 memory: 17350 grad_norm: 5.5431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8778 loss: 1.8778 2022/07/22 22:51:50 - mmengine - INFO - Epoch(train) [31][640/3757] lr: 1.0000e-02 eta: 2 days, 0:22:03 time: 0.6354 data_time: 0.2345 memory: 17350 grad_norm: 5.6056 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6742 loss: 1.6742 2022/07/22 22:52:04 - mmengine - INFO - Epoch(train) [31][660/3757] lr: 1.0000e-02 eta: 2 days, 0:21:51 time: 0.6721 data_time: 0.3004 memory: 17350 grad_norm: 5.4849 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9382 loss: 1.9382 2022/07/22 22:52:17 - mmengine - INFO - Epoch(train) [31][680/3757] lr: 1.0000e-02 eta: 2 days, 0:21:37 time: 0.6622 data_time: 0.1928 memory: 17350 grad_norm: 5.4208 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8265 loss: 1.8265 2022/07/22 22:52:31 - mmengine - INFO - Epoch(train) [31][700/3757] lr: 1.0000e-02 eta: 2 days, 0:21:25 time: 0.6801 data_time: 0.2735 memory: 17350 grad_norm: 5.4797 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0321 loss: 2.0321 2022/07/22 22:52:44 - mmengine - INFO - Epoch(train) [31][720/3757] lr: 1.0000e-02 eta: 2 days, 0:21:11 time: 0.6542 data_time: 0.2719 memory: 17350 grad_norm: 5.7499 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6898 loss: 1.6898 2022/07/22 22:52:57 - mmengine - INFO - Epoch(train) [31][740/3757] lr: 1.0000e-02 eta: 2 days, 0:20:58 time: 0.6726 data_time: 0.1011 memory: 17350 grad_norm: 5.6440 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8856 loss: 1.8856 2022/07/22 22:53:12 - mmengine - INFO - Epoch(train) [31][760/3757] lr: 1.0000e-02 eta: 2 days, 0:20:49 time: 0.7460 data_time: 0.0467 memory: 17350 grad_norm: 5.5039 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7510 loss: 1.7510 2022/07/22 22:53:25 - mmengine - INFO - Epoch(train) [31][780/3757] lr: 1.0000e-02 eta: 2 days, 0:20:33 time: 0.6173 data_time: 0.1133 memory: 17350 grad_norm: 5.5522 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7226 loss: 1.7226 2022/07/22 22:53:38 - mmengine - INFO - Epoch(train) [31][800/3757] lr: 1.0000e-02 eta: 2 days, 0:20:19 time: 0.6507 data_time: 0.1814 memory: 17350 grad_norm: 5.5477 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8990 loss: 1.8990 2022/07/22 22:53:51 - mmengine - INFO - Epoch(train) [31][820/3757] lr: 1.0000e-02 eta: 2 days, 0:20:08 time: 0.6977 data_time: 0.2741 memory: 17350 grad_norm: 5.4932 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6533 loss: 1.6533 2022/07/22 22:54:04 - mmengine - INFO - Epoch(train) [31][840/3757] lr: 1.0000e-02 eta: 2 days, 0:19:52 time: 0.6223 data_time: 0.1766 memory: 17350 grad_norm: 5.5183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8904 loss: 1.8904 2022/07/22 22:54:17 - mmengine - INFO - Epoch(train) [31][860/3757] lr: 1.0000e-02 eta: 2 days, 0:19:40 time: 0.6760 data_time: 0.2392 memory: 17350 grad_norm: 5.4094 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0712 loss: 2.0712 2022/07/22 22:54:31 - mmengine - INFO - Epoch(train) [31][880/3757] lr: 1.0000e-02 eta: 2 days, 0:19:26 time: 0.6594 data_time: 0.2522 memory: 17350 grad_norm: 5.4722 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7846 loss: 1.7846 2022/07/22 22:54:45 - mmengine - INFO - Epoch(train) [31][900/3757] lr: 1.0000e-02 eta: 2 days, 0:19:14 time: 0.6930 data_time: 0.3375 memory: 17350 grad_norm: 5.3515 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1394 loss: 2.1394 2022/07/22 22:54:57 - mmengine - INFO - Epoch(train) [31][920/3757] lr: 1.0000e-02 eta: 2 days, 0:18:59 time: 0.6283 data_time: 0.3057 memory: 17350 grad_norm: 5.4536 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9248 loss: 1.9248 2022/07/22 22:55:11 - mmengine - INFO - Epoch(train) [31][940/3757] lr: 1.0000e-02 eta: 2 days, 0:18:48 time: 0.7106 data_time: 0.3530 memory: 17350 grad_norm: 5.4969 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7646 loss: 1.7646 2022/07/22 22:55:24 - mmengine - INFO - Epoch(train) [31][960/3757] lr: 1.0000e-02 eta: 2 days, 0:18:34 time: 0.6384 data_time: 0.2634 memory: 17350 grad_norm: 5.4760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7494 loss: 1.7494 2022/07/22 22:55:39 - mmengine - INFO - Epoch(train) [31][980/3757] lr: 1.0000e-02 eta: 2 days, 0:18:24 time: 0.7296 data_time: 0.3066 memory: 17350 grad_norm: 5.4840 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7203 loss: 1.7203 2022/07/22 22:55:52 - mmengine - INFO - Epoch(train) [31][1000/3757] lr: 1.0000e-02 eta: 2 days, 0:18:10 time: 0.6590 data_time: 0.2019 memory: 17350 grad_norm: 5.7067 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8845 loss: 1.8845 2022/07/22 22:56:05 - mmengine - INFO - Epoch(train) [31][1020/3757] lr: 1.0000e-02 eta: 2 days, 0:17:57 time: 0.6641 data_time: 0.2445 memory: 17350 grad_norm: 5.4417 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6793 loss: 1.6793 2022/07/22 22:56:18 - mmengine - INFO - Epoch(train) [31][1040/3757] lr: 1.0000e-02 eta: 2 days, 0:17:43 time: 0.6449 data_time: 0.2144 memory: 17350 grad_norm: 5.4377 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9161 loss: 1.9161 2022/07/22 22:56:32 - mmengine - INFO - Epoch(train) [31][1060/3757] lr: 1.0000e-02 eta: 2 days, 0:17:32 time: 0.7150 data_time: 0.3199 memory: 17350 grad_norm: 5.3201 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0103 loss: 2.0103 2022/07/22 22:56:44 - mmengine - INFO - Epoch(train) [31][1080/3757] lr: 1.0000e-02 eta: 2 days, 0:17:15 time: 0.5852 data_time: 0.2551 memory: 17350 grad_norm: 5.5827 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7676 loss: 1.7676 2022/07/22 22:56:58 - mmengine - INFO - Epoch(train) [31][1100/3757] lr: 1.0000e-02 eta: 2 days, 0:17:04 time: 0.7064 data_time: 0.3805 memory: 17350 grad_norm: 5.3978 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8299 loss: 1.8299 2022/07/22 22:57:10 - mmengine - INFO - Epoch(train) [31][1120/3757] lr: 1.0000e-02 eta: 2 days, 0:16:48 time: 0.6018 data_time: 0.2717 memory: 17350 grad_norm: 5.4831 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8894 loss: 1.8894 2022/07/22 22:57:25 - mmengine - INFO - Epoch(train) [31][1140/3757] lr: 1.0000e-02 eta: 2 days, 0:16:38 time: 0.7412 data_time: 0.3885 memory: 17350 grad_norm: 5.5729 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9112 loss: 1.9112 2022/07/22 22:57:37 - mmengine - INFO - Epoch(train) [31][1160/3757] lr: 1.0000e-02 eta: 2 days, 0:16:21 time: 0.5941 data_time: 0.2209 memory: 17350 grad_norm: 5.3448 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8429 loss: 1.8429 2022/07/22 22:57:51 - mmengine - INFO - Epoch(train) [31][1180/3757] lr: 1.0000e-02 eta: 2 days, 0:16:09 time: 0.6920 data_time: 0.3656 memory: 17350 grad_norm: 5.3112 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8911 loss: 1.8911 2022/07/22 22:58:03 - mmengine - INFO - Epoch(train) [31][1200/3757] lr: 1.0000e-02 eta: 2 days, 0:15:53 time: 0.6030 data_time: 0.2479 memory: 17350 grad_norm: 5.5133 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8475 loss: 1.8475 2022/07/22 22:58:17 - mmengine - INFO - Epoch(train) [31][1220/3757] lr: 1.0000e-02 eta: 2 days, 0:15:41 time: 0.6925 data_time: 0.3151 memory: 17350 grad_norm: 5.3587 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5491 loss: 1.5491 2022/07/22 22:58:29 - mmengine - INFO - Epoch(train) [31][1240/3757] lr: 1.0000e-02 eta: 2 days, 0:15:26 time: 0.6094 data_time: 0.2037 memory: 17350 grad_norm: 5.6091 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9736 loss: 1.9736 2022/07/22 22:58:43 - mmengine - INFO - Epoch(train) [31][1260/3757] lr: 1.0000e-02 eta: 2 days, 0:15:14 time: 0.6979 data_time: 0.2815 memory: 17350 grad_norm: 5.2730 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9502 loss: 1.9502 2022/07/22 22:58:56 - mmengine - INFO - Epoch(train) [31][1280/3757] lr: 1.0000e-02 eta: 2 days, 0:15:00 time: 0.6464 data_time: 0.1996 memory: 17350 grad_norm: 5.5712 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7772 loss: 1.7772 2022/07/22 22:59:03 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 22:59:09 - mmengine - INFO - Epoch(train) [31][1300/3757] lr: 1.0000e-02 eta: 2 days, 0:14:46 time: 0.6603 data_time: 0.2060 memory: 17350 grad_norm: 5.6675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7834 loss: 1.7834 2022/07/22 22:59:23 - mmengine - INFO - Epoch(train) [31][1320/3757] lr: 1.0000e-02 eta: 2 days, 0:14:35 time: 0.6988 data_time: 0.0260 memory: 17350 grad_norm: 5.4517 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7468 loss: 1.7468 2022/07/22 22:59:36 - mmengine - INFO - Epoch(train) [31][1340/3757] lr: 1.0000e-02 eta: 2 days, 0:14:21 time: 0.6637 data_time: 0.1753 memory: 17350 grad_norm: 5.5068 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9587 loss: 1.9587 2022/07/22 22:59:50 - mmengine - INFO - Epoch(train) [31][1360/3757] lr: 1.0000e-02 eta: 2 days, 0:14:08 time: 0.6695 data_time: 0.0645 memory: 17350 grad_norm: 5.6089 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6997 loss: 1.6997 2022/07/22 23:00:02 - mmengine - INFO - Epoch(train) [31][1380/3757] lr: 1.0000e-02 eta: 2 days, 0:13:54 time: 0.6322 data_time: 0.0548 memory: 17350 grad_norm: 5.4465 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8188 loss: 1.8188 2022/07/22 23:00:17 - mmengine - INFO - Epoch(train) [31][1400/3757] lr: 1.0000e-02 eta: 2 days, 0:13:43 time: 0.7170 data_time: 0.0851 memory: 17350 grad_norm: 5.5739 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9221 loss: 1.9221 2022/07/22 23:00:29 - mmengine - INFO - Epoch(train) [31][1420/3757] lr: 1.0000e-02 eta: 2 days, 0:13:28 time: 0.6297 data_time: 0.1458 memory: 17350 grad_norm: 5.5440 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6328 loss: 1.6328 2022/07/22 23:00:43 - mmengine - INFO - Epoch(train) [31][1440/3757] lr: 1.0000e-02 eta: 2 days, 0:13:17 time: 0.7058 data_time: 0.0991 memory: 17350 grad_norm: 5.4181 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0198 loss: 2.0198 2022/07/22 23:00:56 - mmengine - INFO - Epoch(train) [31][1460/3757] lr: 1.0000e-02 eta: 2 days, 0:13:02 time: 0.6424 data_time: 0.1217 memory: 17350 grad_norm: 5.5712 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0811 loss: 2.0811 2022/07/22 23:01:10 - mmengine - INFO - Epoch(train) [31][1480/3757] lr: 1.0000e-02 eta: 2 days, 0:12:51 time: 0.6979 data_time: 0.0758 memory: 17350 grad_norm: 5.6804 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1253 loss: 2.1253 2022/07/22 23:01:23 - mmengine - INFO - Epoch(train) [31][1500/3757] lr: 1.0000e-02 eta: 2 days, 0:12:36 time: 0.6252 data_time: 0.0675 memory: 17350 grad_norm: 5.4975 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6949 loss: 1.6949 2022/07/22 23:01:36 - mmengine - INFO - Epoch(train) [31][1520/3757] lr: 1.0000e-02 eta: 2 days, 0:12:23 time: 0.6814 data_time: 0.0888 memory: 17350 grad_norm: 5.5024 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0628 loss: 2.0628 2022/07/22 23:01:49 - mmengine - INFO - Epoch(train) [31][1540/3757] lr: 1.0000e-02 eta: 2 days, 0:12:09 time: 0.6414 data_time: 0.1619 memory: 17350 grad_norm: 5.4217 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7906 loss: 1.7906 2022/07/22 23:02:03 - mmengine - INFO - Epoch(train) [31][1560/3757] lr: 1.0000e-02 eta: 2 days, 0:11:56 time: 0.6620 data_time: 0.1094 memory: 17350 grad_norm: 5.4698 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7000 loss: 1.7000 2022/07/22 23:02:16 - mmengine - INFO - Epoch(train) [31][1580/3757] lr: 1.0000e-02 eta: 2 days, 0:11:42 time: 0.6511 data_time: 0.1325 memory: 17350 grad_norm: 5.5015 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6942 loss: 1.6942 2022/07/22 23:02:29 - mmengine - INFO - Epoch(train) [31][1600/3757] lr: 1.0000e-02 eta: 2 days, 0:11:28 time: 0.6517 data_time: 0.1790 memory: 17350 grad_norm: 5.4228 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9339 loss: 1.9339 2022/07/22 23:02:42 - mmengine - INFO - Epoch(train) [31][1620/3757] lr: 1.0000e-02 eta: 2 days, 0:11:14 time: 0.6578 data_time: 0.1588 memory: 17350 grad_norm: 5.6850 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1585 loss: 2.1585 2022/07/22 23:02:57 - mmengine - INFO - Epoch(train) [31][1640/3757] lr: 1.0000e-02 eta: 2 days, 0:11:04 time: 0.7388 data_time: 0.1194 memory: 17350 grad_norm: 5.4363 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6653 loss: 1.6653 2022/07/22 23:03:09 - mmengine - INFO - Epoch(train) [31][1660/3757] lr: 1.0000e-02 eta: 2 days, 0:10:50 time: 0.6400 data_time: 0.1672 memory: 17350 grad_norm: 5.3176 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1219 loss: 2.1219 2022/07/22 23:03:23 - mmengine - INFO - Epoch(train) [31][1680/3757] lr: 1.0000e-02 eta: 2 days, 0:10:37 time: 0.6572 data_time: 0.1666 memory: 17350 grad_norm: 5.6016 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7275 loss: 1.7275 2022/07/22 23:03:35 - mmengine - INFO - Epoch(train) [31][1700/3757] lr: 1.0000e-02 eta: 2 days, 0:10:21 time: 0.6162 data_time: 0.0916 memory: 17350 grad_norm: 5.7954 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0649 loss: 2.0649 2022/07/22 23:03:49 - mmengine - INFO - Epoch(train) [31][1720/3757] lr: 1.0000e-02 eta: 2 days, 0:10:11 time: 0.7224 data_time: 0.1542 memory: 17350 grad_norm: 5.6867 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8742 loss: 1.8742 2022/07/22 23:04:03 - mmengine - INFO - Epoch(train) [31][1740/3757] lr: 1.0000e-02 eta: 2 days, 0:09:57 time: 0.6683 data_time: 0.2267 memory: 17350 grad_norm: 5.4434 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8936 loss: 1.8936 2022/07/22 23:04:16 - mmengine - INFO - Epoch(train) [31][1760/3757] lr: 1.0000e-02 eta: 2 days, 0:09:43 time: 0.6443 data_time: 0.1445 memory: 17350 grad_norm: 5.4469 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8895 loss: 1.8895 2022/07/22 23:04:30 - mmengine - INFO - Epoch(train) [31][1780/3757] lr: 1.0000e-02 eta: 2 days, 0:09:32 time: 0.6993 data_time: 0.3246 memory: 17350 grad_norm: 5.4298 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8560 loss: 1.8560 2022/07/22 23:04:42 - mmengine - INFO - Epoch(train) [31][1800/3757] lr: 1.0000e-02 eta: 2 days, 0:09:17 time: 0.6325 data_time: 0.2113 memory: 17350 grad_norm: 5.5285 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8974 loss: 1.8974 2022/07/22 23:04:56 - mmengine - INFO - Epoch(train) [31][1820/3757] lr: 1.0000e-02 eta: 2 days, 0:09:06 time: 0.7085 data_time: 0.3334 memory: 17350 grad_norm: 5.5799 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0752 loss: 2.0752 2022/07/22 23:05:09 - mmengine - INFO - Epoch(train) [31][1840/3757] lr: 1.0000e-02 eta: 2 days, 0:08:51 time: 0.6361 data_time: 0.2459 memory: 17350 grad_norm: 5.5421 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9187 loss: 1.9187 2022/07/22 23:05:23 - mmengine - INFO - Epoch(train) [31][1860/3757] lr: 1.0000e-02 eta: 2 days, 0:08:39 time: 0.6927 data_time: 0.3454 memory: 17350 grad_norm: 5.3298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6753 loss: 1.6753 2022/07/22 23:05:35 - mmengine - INFO - Epoch(train) [31][1880/3757] lr: 1.0000e-02 eta: 2 days, 0:08:24 time: 0.6176 data_time: 0.2847 memory: 17350 grad_norm: 5.7136 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0616 loss: 2.0616 2022/07/22 23:05:50 - mmengine - INFO - Epoch(train) [31][1900/3757] lr: 1.0000e-02 eta: 2 days, 0:08:13 time: 0.7070 data_time: 0.3768 memory: 17350 grad_norm: 5.6432 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9582 loss: 1.9582 2022/07/22 23:06:02 - mmengine - INFO - Epoch(train) [31][1920/3757] lr: 1.0000e-02 eta: 2 days, 0:07:57 time: 0.6182 data_time: 0.2848 memory: 17350 grad_norm: 5.3666 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6708 loss: 1.6708 2022/07/22 23:06:16 - mmengine - INFO - Epoch(train) [31][1940/3757] lr: 1.0000e-02 eta: 2 days, 0:07:47 time: 0.7252 data_time: 0.3920 memory: 17350 grad_norm: 5.6130 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8831 loss: 1.8831 2022/07/22 23:06:29 - mmengine - INFO - Epoch(train) [31][1960/3757] lr: 1.0000e-02 eta: 2 days, 0:07:32 time: 0.6209 data_time: 0.2734 memory: 17350 grad_norm: 5.5685 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0458 loss: 2.0458 2022/07/22 23:06:43 - mmengine - INFO - Epoch(train) [31][1980/3757] lr: 1.0000e-02 eta: 2 days, 0:07:21 time: 0.7253 data_time: 0.3100 memory: 17350 grad_norm: 5.1553 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7363 loss: 1.7363 2022/07/22 23:06:55 - mmengine - INFO - Epoch(train) [31][2000/3757] lr: 1.0000e-02 eta: 2 days, 0:07:04 time: 0.5887 data_time: 0.1970 memory: 17350 grad_norm: 5.5364 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6578 loss: 1.6578 2022/07/22 23:07:10 - mmengine - INFO - Epoch(train) [31][2020/3757] lr: 1.0000e-02 eta: 2 days, 0:06:54 time: 0.7287 data_time: 0.2004 memory: 17350 grad_norm: 5.4448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0639 loss: 2.0639 2022/07/22 23:07:22 - mmengine - INFO - Epoch(train) [31][2040/3757] lr: 1.0000e-02 eta: 2 days, 0:06:38 time: 0.5926 data_time: 0.1037 memory: 17350 grad_norm: 5.2357 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7547 loss: 1.7547 2022/07/22 23:07:36 - mmengine - INFO - Epoch(train) [31][2060/3757] lr: 1.0000e-02 eta: 2 days, 0:06:27 time: 0.7191 data_time: 0.0331 memory: 17350 grad_norm: 5.4478 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9149 loss: 1.9149 2022/07/22 23:07:49 - mmengine - INFO - Epoch(train) [31][2080/3757] lr: 1.0000e-02 eta: 2 days, 0:06:12 time: 0.6395 data_time: 0.0380 memory: 17350 grad_norm: 5.4561 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8940 loss: 1.8940 2022/07/22 23:08:02 - mmengine - INFO - Epoch(train) [31][2100/3757] lr: 1.0000e-02 eta: 2 days, 0:05:59 time: 0.6581 data_time: 0.1784 memory: 17350 grad_norm: 5.2169 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6953 loss: 1.6953 2022/07/22 23:08:15 - mmengine - INFO - Epoch(train) [31][2120/3757] lr: 1.0000e-02 eta: 2 days, 0:05:46 time: 0.6785 data_time: 0.1096 memory: 17350 grad_norm: 5.4470 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9601 loss: 1.9601 2022/07/22 23:08:29 - mmengine - INFO - Epoch(train) [31][2140/3757] lr: 1.0000e-02 eta: 2 days, 0:05:32 time: 0.6529 data_time: 0.1835 memory: 17350 grad_norm: 5.5955 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1347 loss: 2.1347 2022/07/22 23:08:42 - mmengine - INFO - Epoch(train) [31][2160/3757] lr: 1.0000e-02 eta: 2 days, 0:05:19 time: 0.6662 data_time: 0.2068 memory: 17350 grad_norm: 5.3670 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8524 loss: 1.8524 2022/07/22 23:08:55 - mmengine - INFO - Epoch(train) [31][2180/3757] lr: 1.0000e-02 eta: 2 days, 0:05:06 time: 0.6685 data_time: 0.2273 memory: 17350 grad_norm: 5.5029 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8957 loss: 1.8957 2022/07/22 23:09:08 - mmengine - INFO - Epoch(train) [31][2200/3757] lr: 1.0000e-02 eta: 2 days, 0:04:53 time: 0.6535 data_time: 0.2209 memory: 17350 grad_norm: 5.5036 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8431 loss: 1.8431 2022/07/22 23:09:23 - mmengine - INFO - Epoch(train) [31][2220/3757] lr: 1.0000e-02 eta: 2 days, 0:04:42 time: 0.7243 data_time: 0.2801 memory: 17350 grad_norm: 5.5500 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8292 loss: 1.8292 2022/07/22 23:09:35 - mmengine - INFO - Epoch(train) [31][2240/3757] lr: 1.0000e-02 eta: 2 days, 0:04:26 time: 0.6045 data_time: 0.2160 memory: 17350 grad_norm: 5.3546 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8509 loss: 1.8509 2022/07/22 23:09:50 - mmengine - INFO - Epoch(train) [31][2260/3757] lr: 1.0000e-02 eta: 2 days, 0:04:16 time: 0.7401 data_time: 0.3237 memory: 17350 grad_norm: 5.4456 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8513 loss: 1.8513 2022/07/22 23:10:02 - mmengine - INFO - Epoch(train) [31][2280/3757] lr: 1.0000e-02 eta: 2 days, 0:04:01 time: 0.6262 data_time: 0.2146 memory: 17350 grad_norm: 5.6251 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7846 loss: 1.7846 2022/07/22 23:10:11 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 23:10:17 - mmengine - INFO - Epoch(train) [31][2300/3757] lr: 1.0000e-02 eta: 2 days, 0:03:51 time: 0.7350 data_time: 0.3511 memory: 17350 grad_norm: 5.5590 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5776 loss: 1.5776 2022/07/22 23:10:29 - mmengine - INFO - Epoch(train) [31][2320/3757] lr: 1.0000e-02 eta: 2 days, 0:03:35 time: 0.6025 data_time: 0.2094 memory: 17350 grad_norm: 5.2893 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7521 loss: 1.7521 2022/07/22 23:10:44 - mmengine - INFO - Epoch(train) [31][2340/3757] lr: 1.0000e-02 eta: 2 days, 0:03:25 time: 0.7275 data_time: 0.3829 memory: 17350 grad_norm: 5.3651 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0947 loss: 2.0947 2022/07/22 23:10:56 - mmengine - INFO - Epoch(train) [31][2360/3757] lr: 1.0000e-02 eta: 2 days, 0:03:11 time: 0.6429 data_time: 0.2205 memory: 17350 grad_norm: 5.5688 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6450 loss: 1.6450 2022/07/22 23:11:11 - mmengine - INFO - Epoch(train) [31][2380/3757] lr: 1.0000e-02 eta: 2 days, 0:02:59 time: 0.7043 data_time: 0.2983 memory: 17350 grad_norm: 5.4877 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8661 loss: 1.8661 2022/07/22 23:11:22 - mmengine - INFO - Epoch(train) [31][2400/3757] lr: 1.0000e-02 eta: 2 days, 0:02:43 time: 0.5944 data_time: 0.2460 memory: 17350 grad_norm: 5.4839 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 1.7510 loss: 1.7510 2022/07/22 23:11:37 - mmengine - INFO - Epoch(train) [31][2420/3757] lr: 1.0000e-02 eta: 2 days, 0:02:33 time: 0.7403 data_time: 0.4055 memory: 17350 grad_norm: 5.4392 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0812 loss: 2.0812 2022/07/22 23:11:49 - mmengine - INFO - Epoch(train) [31][2440/3757] lr: 1.0000e-02 eta: 2 days, 0:02:16 time: 0.5796 data_time: 0.2474 memory: 17350 grad_norm: 5.4532 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8951 loss: 1.8951 2022/07/22 23:12:03 - mmengine - INFO - Epoch(train) [31][2460/3757] lr: 1.0000e-02 eta: 2 days, 0:02:05 time: 0.7235 data_time: 0.3912 memory: 17350 grad_norm: 5.7184 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9379 loss: 1.9379 2022/07/22 23:12:16 - mmengine - INFO - Epoch(train) [31][2480/3757] lr: 1.0000e-02 eta: 2 days, 0:01:50 time: 0.6237 data_time: 0.2668 memory: 17350 grad_norm: 5.5520 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2118 loss: 2.2118 2022/07/22 23:12:29 - mmengine - INFO - Epoch(train) [31][2500/3757] lr: 1.0000e-02 eta: 2 days, 0:01:38 time: 0.6821 data_time: 0.3074 memory: 17350 grad_norm: 5.5771 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8355 loss: 1.8355 2022/07/22 23:12:43 - mmengine - INFO - Epoch(train) [31][2520/3757] lr: 1.0000e-02 eta: 2 days, 0:01:25 time: 0.6791 data_time: 0.1888 memory: 17350 grad_norm: 5.5436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9040 loss: 1.9040 2022/07/22 23:12:56 - mmengine - INFO - Epoch(train) [31][2540/3757] lr: 1.0000e-02 eta: 2 days, 0:01:11 time: 0.6391 data_time: 0.1182 memory: 17350 grad_norm: 5.4595 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8824 loss: 1.8824 2022/07/22 23:13:10 - mmengine - INFO - Epoch(train) [31][2560/3757] lr: 1.0000e-02 eta: 2 days, 0:00:59 time: 0.6916 data_time: 0.0712 memory: 17350 grad_norm: 5.3474 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9979 loss: 1.9979 2022/07/22 23:13:22 - mmengine - INFO - Epoch(train) [31][2580/3757] lr: 1.0000e-02 eta: 2 days, 0:00:43 time: 0.6186 data_time: 0.0367 memory: 17350 grad_norm: 5.6312 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8377 loss: 1.8377 2022/07/22 23:13:36 - mmengine - INFO - Epoch(train) [31][2600/3757] lr: 1.0000e-02 eta: 2 days, 0:00:32 time: 0.7164 data_time: 0.0250 memory: 17350 grad_norm: 5.7273 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9793 loss: 1.9793 2022/07/22 23:13:49 - mmengine - INFO - Epoch(train) [31][2620/3757] lr: 1.0000e-02 eta: 2 days, 0:00:17 time: 0.6172 data_time: 0.0231 memory: 17350 grad_norm: 5.6441 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6541 loss: 1.6541 2022/07/22 23:14:02 - mmengine - INFO - Epoch(train) [31][2640/3757] lr: 1.0000e-02 eta: 2 days, 0:00:05 time: 0.6853 data_time: 0.0218 memory: 17350 grad_norm: 5.7329 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7529 loss: 1.7529 2022/07/22 23:14:15 - mmengine - INFO - Epoch(train) [31][2660/3757] lr: 1.0000e-02 eta: 1 day, 23:59:49 time: 0.6043 data_time: 0.0619 memory: 17350 grad_norm: 5.7350 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9441 loss: 1.9441 2022/07/22 23:14:28 - mmengine - INFO - Epoch(train) [31][2680/3757] lr: 1.0000e-02 eta: 1 day, 23:59:36 time: 0.6797 data_time: 0.1292 memory: 17350 grad_norm: 5.5780 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9533 loss: 1.9533 2022/07/22 23:14:42 - mmengine - INFO - Epoch(train) [31][2700/3757] lr: 1.0000e-02 eta: 1 day, 23:59:24 time: 0.6935 data_time: 0.3445 memory: 17350 grad_norm: 5.7033 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1197 loss: 2.1197 2022/07/22 23:14:55 - mmengine - INFO - Epoch(train) [31][2720/3757] lr: 1.0000e-02 eta: 1 day, 23:59:10 time: 0.6365 data_time: 0.2316 memory: 17350 grad_norm: 5.5643 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7059 loss: 1.7059 2022/07/22 23:15:09 - mmengine - INFO - Epoch(train) [31][2740/3757] lr: 1.0000e-02 eta: 1 day, 23:58:59 time: 0.7099 data_time: 0.3341 memory: 17350 grad_norm: 5.5286 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9879 loss: 1.9879 2022/07/22 23:15:22 - mmengine - INFO - Epoch(train) [31][2760/3757] lr: 1.0000e-02 eta: 1 day, 23:58:45 time: 0.6541 data_time: 0.1723 memory: 17350 grad_norm: 5.6546 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9308 loss: 1.9308 2022/07/22 23:15:35 - mmengine - INFO - Epoch(train) [31][2780/3757] lr: 1.0000e-02 eta: 1 day, 23:58:31 time: 0.6556 data_time: 0.1011 memory: 17350 grad_norm: 5.3228 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9677 loss: 1.9677 2022/07/22 23:15:49 - mmengine - INFO - Epoch(train) [31][2800/3757] lr: 1.0000e-02 eta: 1 day, 23:58:20 time: 0.7121 data_time: 0.0497 memory: 17350 grad_norm: 5.4945 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7270 loss: 1.7270 2022/07/22 23:16:02 - mmengine - INFO - Epoch(train) [31][2820/3757] lr: 1.0000e-02 eta: 1 day, 23:58:05 time: 0.6117 data_time: 0.1378 memory: 17350 grad_norm: 5.5805 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9639 loss: 1.9639 2022/07/22 23:16:15 - mmengine - INFO - Epoch(train) [31][2840/3757] lr: 1.0000e-02 eta: 1 day, 23:57:51 time: 0.6612 data_time: 0.1987 memory: 17350 grad_norm: 5.4975 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0449 loss: 2.0449 2022/07/22 23:16:29 - mmengine - INFO - Epoch(train) [31][2860/3757] lr: 1.0000e-02 eta: 1 day, 23:57:40 time: 0.6989 data_time: 0.3456 memory: 17350 grad_norm: 5.4969 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8371 loss: 1.8371 2022/07/22 23:16:41 - mmengine - INFO - Epoch(train) [31][2880/3757] lr: 1.0000e-02 eta: 1 day, 23:57:23 time: 0.6004 data_time: 0.2592 memory: 17350 grad_norm: 5.4807 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9587 loss: 1.9587 2022/07/22 23:16:55 - mmengine - INFO - Epoch(train) [31][2900/3757] lr: 1.0000e-02 eta: 1 day, 23:57:12 time: 0.6984 data_time: 0.2928 memory: 17350 grad_norm: 5.6317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8133 loss: 1.8133 2022/07/22 23:17:08 - mmengine - INFO - Epoch(train) [31][2920/3757] lr: 1.0000e-02 eta: 1 day, 23:56:59 time: 0.6682 data_time: 0.1063 memory: 17350 grad_norm: 5.4006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8447 loss: 1.8447 2022/07/22 23:17:21 - mmengine - INFO - Epoch(train) [31][2940/3757] lr: 1.0000e-02 eta: 1 day, 23:56:44 time: 0.6301 data_time: 0.2020 memory: 17350 grad_norm: 5.3613 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5794 loss: 1.5794 2022/07/22 23:17:34 - mmengine - INFO - Epoch(train) [31][2960/3757] lr: 1.0000e-02 eta: 1 day, 23:56:31 time: 0.6644 data_time: 0.1266 memory: 17350 grad_norm: 5.5548 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1306 loss: 2.1306 2022/07/22 23:17:48 - mmengine - INFO - Epoch(train) [31][2980/3757] lr: 1.0000e-02 eta: 1 day, 23:56:18 time: 0.6714 data_time: 0.1146 memory: 17350 grad_norm: 5.6734 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9617 loss: 1.9617 2022/07/22 23:18:00 - mmengine - INFO - Epoch(train) [31][3000/3757] lr: 1.0000e-02 eta: 1 day, 23:56:03 time: 0.6339 data_time: 0.0646 memory: 17350 grad_norm: 5.5084 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8723 loss: 1.8723 2022/07/22 23:18:14 - mmengine - INFO - Epoch(train) [31][3020/3757] lr: 1.0000e-02 eta: 1 day, 23:55:51 time: 0.6872 data_time: 0.1157 memory: 17350 grad_norm: 5.3722 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8291 loss: 1.8291 2022/07/22 23:18:28 - mmengine - INFO - Epoch(train) [31][3040/3757] lr: 1.0000e-02 eta: 1 day, 23:55:39 time: 0.7053 data_time: 0.0247 memory: 17350 grad_norm: 5.5617 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0518 loss: 2.0518 2022/07/22 23:18:40 - mmengine - INFO - Epoch(train) [31][3060/3757] lr: 1.0000e-02 eta: 1 day, 23:55:24 time: 0.6151 data_time: 0.0270 memory: 17350 grad_norm: 5.4291 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3912 loss: 1.3912 2022/07/22 23:18:55 - mmengine - INFO - Epoch(train) [31][3080/3757] lr: 1.0000e-02 eta: 1 day, 23:55:13 time: 0.7213 data_time: 0.0212 memory: 17350 grad_norm: 5.4866 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8093 loss: 1.8093 2022/07/22 23:19:08 - mmengine - INFO - Epoch(train) [31][3100/3757] lr: 1.0000e-02 eta: 1 day, 23:54:59 time: 0.6406 data_time: 0.0221 memory: 17350 grad_norm: 5.4827 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8895 loss: 1.8895 2022/07/22 23:19:20 - mmengine - INFO - Epoch(train) [31][3120/3757] lr: 1.0000e-02 eta: 1 day, 23:54:44 time: 0.6259 data_time: 0.0244 memory: 17350 grad_norm: 5.4900 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8387 loss: 1.8387 2022/07/22 23:19:35 - mmengine - INFO - Epoch(train) [31][3140/3757] lr: 1.0000e-02 eta: 1 day, 23:54:33 time: 0.7160 data_time: 0.0508 memory: 17350 grad_norm: 5.4368 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7912 loss: 1.7912 2022/07/22 23:19:47 - mmengine - INFO - Epoch(train) [31][3160/3757] lr: 1.0000e-02 eta: 1 day, 23:54:17 time: 0.5990 data_time: 0.0230 memory: 17350 grad_norm: 5.2952 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6752 loss: 1.6752 2022/07/22 23:20:01 - mmengine - INFO - Epoch(train) [31][3180/3757] lr: 1.0000e-02 eta: 1 day, 23:54:06 time: 0.7271 data_time: 0.0309 memory: 17350 grad_norm: 5.5104 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8830 loss: 1.8830 2022/07/22 23:20:14 - mmengine - INFO - Epoch(train) [31][3200/3757] lr: 1.0000e-02 eta: 1 day, 23:53:52 time: 0.6492 data_time: 0.0393 memory: 17350 grad_norm: 5.4129 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1300 loss: 2.1300 2022/07/22 23:20:28 - mmengine - INFO - Epoch(train) [31][3220/3757] lr: 1.0000e-02 eta: 1 day, 23:53:41 time: 0.7145 data_time: 0.0237 memory: 17350 grad_norm: 5.6448 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8691 loss: 1.8691 2022/07/22 23:20:41 - mmengine - INFO - Epoch(train) [31][3240/3757] lr: 1.0000e-02 eta: 1 day, 23:53:27 time: 0.6286 data_time: 0.0450 memory: 17350 grad_norm: 5.6963 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2051 loss: 2.2051 2022/07/22 23:20:55 - mmengine - INFO - Epoch(train) [31][3260/3757] lr: 1.0000e-02 eta: 1 day, 23:53:14 time: 0.6809 data_time: 0.0242 memory: 17350 grad_norm: 5.6738 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0199 loss: 2.0199 2022/07/22 23:21:08 - mmengine - INFO - Epoch(train) [31][3280/3757] lr: 1.0000e-02 eta: 1 day, 23:53:01 time: 0.6613 data_time: 0.0232 memory: 17350 grad_norm: 5.3422 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8139 loss: 1.8139 2022/07/22 23:21:14 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 23:21:21 - mmengine - INFO - Epoch(train) [31][3300/3757] lr: 1.0000e-02 eta: 1 day, 23:52:48 time: 0.6747 data_time: 0.0282 memory: 17350 grad_norm: 5.5401 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0405 loss: 2.0405 2022/07/22 23:21:34 - mmengine - INFO - Epoch(train) [31][3320/3757] lr: 1.0000e-02 eta: 1 day, 23:52:34 time: 0.6530 data_time: 0.0239 memory: 17350 grad_norm: 5.5691 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9101 loss: 1.9101 2022/07/22 23:21:48 - mmengine - INFO - Epoch(train) [31][3340/3757] lr: 1.0000e-02 eta: 1 day, 23:52:21 time: 0.6672 data_time: 0.0224 memory: 17350 grad_norm: 5.5769 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8616 loss: 1.8616 2022/07/22 23:22:01 - mmengine - INFO - Epoch(train) [31][3360/3757] lr: 1.0000e-02 eta: 1 day, 23:52:07 time: 0.6536 data_time: 0.0394 memory: 17350 grad_norm: 5.5340 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0551 loss: 2.0551 2022/07/22 23:22:14 - mmengine - INFO - Epoch(train) [31][3380/3757] lr: 1.0000e-02 eta: 1 day, 23:51:54 time: 0.6705 data_time: 0.0245 memory: 17350 grad_norm: 5.5427 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7713 loss: 1.7713 2022/07/22 23:22:27 - mmengine - INFO - Epoch(train) [31][3400/3757] lr: 1.0000e-02 eta: 1 day, 23:51:40 time: 0.6347 data_time: 0.0239 memory: 17350 grad_norm: 5.6635 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9136 loss: 1.9136 2022/07/22 23:22:41 - mmengine - INFO - Epoch(train) [31][3420/3757] lr: 1.0000e-02 eta: 1 day, 23:51:28 time: 0.6884 data_time: 0.0243 memory: 17350 grad_norm: 5.4150 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1969 loss: 2.1969 2022/07/22 23:22:53 - mmengine - INFO - Epoch(train) [31][3440/3757] lr: 1.0000e-02 eta: 1 day, 23:51:12 time: 0.6126 data_time: 0.0220 memory: 17350 grad_norm: 5.4731 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8028 loss: 1.8028 2022/07/22 23:23:06 - mmengine - INFO - Epoch(train) [31][3460/3757] lr: 1.0000e-02 eta: 1 day, 23:50:59 time: 0.6729 data_time: 0.0236 memory: 17350 grad_norm: 5.6197 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7910 loss: 1.7910 2022/07/22 23:23:19 - mmengine - INFO - Epoch(train) [31][3480/3757] lr: 1.0000e-02 eta: 1 day, 23:50:45 time: 0.6443 data_time: 0.0207 memory: 17350 grad_norm: 5.4829 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0343 loss: 2.0343 2022/07/22 23:23:34 - mmengine - INFO - Epoch(train) [31][3500/3757] lr: 1.0000e-02 eta: 1 day, 23:50:35 time: 0.7263 data_time: 0.0229 memory: 17350 grad_norm: 5.6011 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0050 loss: 2.0050 2022/07/22 23:23:46 - mmengine - INFO - Epoch(train) [31][3520/3757] lr: 1.0000e-02 eta: 1 day, 23:50:19 time: 0.6141 data_time: 0.0242 memory: 17350 grad_norm: 5.4380 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8210 loss: 1.8210 2022/07/22 23:24:00 - mmengine - INFO - Epoch(train) [31][3540/3757] lr: 1.0000e-02 eta: 1 day, 23:50:06 time: 0.6786 data_time: 0.0571 memory: 17350 grad_norm: 5.3449 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4308 loss: 1.4308 2022/07/22 23:24:12 - mmengine - INFO - Epoch(train) [31][3560/3757] lr: 1.0000e-02 eta: 1 day, 23:49:51 time: 0.6128 data_time: 0.1366 memory: 17350 grad_norm: 5.6331 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7637 loss: 1.7637 2022/07/22 23:24:26 - mmengine - INFO - Epoch(train) [31][3580/3757] lr: 1.0000e-02 eta: 1 day, 23:49:40 time: 0.7177 data_time: 0.1110 memory: 17350 grad_norm: 5.6311 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7329 loss: 1.7329 2022/07/22 23:24:38 - mmengine - INFO - Epoch(train) [31][3600/3757] lr: 1.0000e-02 eta: 1 day, 23:49:24 time: 0.5953 data_time: 0.0215 memory: 17350 grad_norm: 5.3863 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0948 loss: 2.0948 2022/07/22 23:24:53 - mmengine - INFO - Epoch(train) [31][3620/3757] lr: 1.0000e-02 eta: 1 day, 23:49:13 time: 0.7282 data_time: 0.0241 memory: 17350 grad_norm: 5.5667 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7270 loss: 1.7270 2022/07/22 23:25:05 - mmengine - INFO - Epoch(train) [31][3640/3757] lr: 1.0000e-02 eta: 1 day, 23:48:58 time: 0.6211 data_time: 0.0261 memory: 17350 grad_norm: 5.3942 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0605 loss: 2.0605 2022/07/22 23:25:19 - mmengine - INFO - Epoch(train) [31][3660/3757] lr: 1.0000e-02 eta: 1 day, 23:48:46 time: 0.6902 data_time: 0.0560 memory: 17350 grad_norm: 5.5098 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0724 loss: 2.0724 2022/07/22 23:25:31 - mmengine - INFO - Epoch(train) [31][3680/3757] lr: 1.0000e-02 eta: 1 day, 23:48:30 time: 0.6113 data_time: 0.0390 memory: 17350 grad_norm: 5.4381 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6177 loss: 1.6177 2022/07/22 23:25:46 - mmengine - INFO - Epoch(train) [31][3700/3757] lr: 1.0000e-02 eta: 1 day, 23:48:20 time: 0.7238 data_time: 0.0367 memory: 17350 grad_norm: 5.6823 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9331 loss: 1.9331 2022/07/22 23:25:58 - mmengine - INFO - Epoch(train) [31][3720/3757] lr: 1.0000e-02 eta: 1 day, 23:48:04 time: 0.5956 data_time: 0.0259 memory: 17350 grad_norm: 5.5070 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8902 loss: 1.8902 2022/07/22 23:26:13 - mmengine - INFO - Epoch(train) [31][3740/3757] lr: 1.0000e-02 eta: 1 day, 23:47:54 time: 0.7543 data_time: 0.0579 memory: 17350 grad_norm: 5.5845 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9494 loss: 1.9494 2022/07/22 23:26:20 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 23:26:20 - mmengine - INFO - Epoch(train) [31][3757/3757] lr: 1.0000e-02 eta: 1 day, 23:47:54 time: 0.5910 data_time: 0.0556 memory: 17350 grad_norm: 5.3325 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.0237 loss: 2.0237 2022/07/22 23:26:36 - mmengine - INFO - Epoch(val) [31][20/310] eta: 0:03:56 time: 0.8142 data_time: 0.7009 memory: 3406 2022/07/22 23:26:48 - mmengine - INFO - Epoch(val) [31][40/310] eta: 0:02:37 time: 0.5851 data_time: 0.4736 memory: 3406 2022/07/22 23:27:02 - mmengine - INFO - Epoch(val) [31][60/310] eta: 0:02:54 time: 0.6972 data_time: 0.5842 memory: 3406 2022/07/22 23:27:13 - mmengine - INFO - Epoch(val) [31][80/310] eta: 0:02:11 time: 0.5705 data_time: 0.4598 memory: 3406 2022/07/22 23:27:28 - mmengine - INFO - Epoch(val) [31][100/310] eta: 0:02:35 time: 0.7427 data_time: 0.6238 memory: 3406 2022/07/22 23:27:38 - mmengine - INFO - Epoch(val) [31][120/310] eta: 0:01:37 time: 0.5141 data_time: 0.3983 memory: 3406 2022/07/22 23:27:55 - mmengine - INFO - Epoch(val) [31][140/310] eta: 0:02:20 time: 0.8246 data_time: 0.7078 memory: 3406 2022/07/22 23:28:08 - mmengine - INFO - Epoch(val) [31][160/310] eta: 0:01:39 time: 0.6639 data_time: 0.5506 memory: 3406 2022/07/22 23:28:21 - mmengine - INFO - Epoch(val) [31][180/310] eta: 0:01:21 time: 0.6246 data_time: 0.5111 memory: 3406 2022/07/22 23:28:35 - mmengine - INFO - Epoch(val) [31][200/310] eta: 0:01:17 time: 0.7062 data_time: 0.5890 memory: 3406 2022/07/22 23:28:47 - mmengine - INFO - Epoch(val) [31][220/310] eta: 0:00:56 time: 0.6253 data_time: 0.5110 memory: 3406 2022/07/22 23:28:58 - mmengine - INFO - Epoch(val) [31][240/310] eta: 0:00:38 time: 0.5565 data_time: 0.4434 memory: 3406 2022/07/22 23:29:12 - mmengine - INFO - Epoch(val) [31][260/310] eta: 0:00:34 time: 0.6870 data_time: 0.5744 memory: 3406 2022/07/22 23:29:23 - mmengine - INFO - Epoch(val) [31][280/310] eta: 0:00:16 time: 0.5342 data_time: 0.4215 memory: 3406 2022/07/22 23:29:37 - mmengine - INFO - Epoch(val) [31][300/310] eta: 0:00:07 time: 0.7307 data_time: 0.6162 memory: 3406 2022/07/22 23:29:48 - mmengine - INFO - Epoch(val) [31][310/310] acc/top1: 0.5878 acc/top5: 0.8178 acc/mean1: 0.5876 2022/07/22 23:29:49 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_29.pth is removed 2022/07/22 23:30:00 - mmengine - INFO - The best checkpoint with 0.5878 acc/top1 at 32 epoch is saved to best_acc/top1_epoch_32.pth. 2022/07/22 23:30:13 - mmengine - INFO - Epoch(train) [32][20/3757] lr: 1.0000e-02 eta: 1 day, 23:47:04 time: 0.6500 data_time: 0.3096 memory: 17350 grad_norm: 5.4783 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6285 loss: 1.6285 2022/07/22 23:30:26 - mmengine - INFO - Epoch(train) [32][40/3757] lr: 1.0000e-02 eta: 1 day, 23:46:50 time: 0.6506 data_time: 0.3227 memory: 17350 grad_norm: 5.6269 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6126 loss: 1.6126 2022/07/22 23:30:40 - mmengine - INFO - Epoch(train) [32][60/3757] lr: 1.0000e-02 eta: 1 day, 23:46:38 time: 0.6938 data_time: 0.3700 memory: 17350 grad_norm: 5.4753 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1141 loss: 2.1141 2022/07/22 23:30:51 - mmengine - INFO - Epoch(train) [32][80/3757] lr: 1.0000e-02 eta: 1 day, 23:46:19 time: 0.5323 data_time: 0.2012 memory: 17350 grad_norm: 5.5483 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6368 loss: 1.6368 2022/07/22 23:31:05 - mmengine - INFO - Epoch(train) [32][100/3757] lr: 1.0000e-02 eta: 1 day, 23:46:08 time: 0.7134 data_time: 0.0231 memory: 17350 grad_norm: 5.4865 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8940 loss: 1.8940 2022/07/22 23:31:18 - mmengine - INFO - Epoch(train) [32][120/3757] lr: 1.0000e-02 eta: 1 day, 23:45:53 time: 0.6294 data_time: 0.0214 memory: 17350 grad_norm: 5.6441 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5536 loss: 1.5536 2022/07/22 23:31:31 - mmengine - INFO - Epoch(train) [32][140/3757] lr: 1.0000e-02 eta: 1 day, 23:45:40 time: 0.6702 data_time: 0.0235 memory: 17350 grad_norm: 5.6180 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8132 loss: 1.8132 2022/07/22 23:31:44 - mmengine - INFO - Epoch(train) [32][160/3757] lr: 1.0000e-02 eta: 1 day, 23:45:27 time: 0.6615 data_time: 0.0240 memory: 17350 grad_norm: 5.4489 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0933 loss: 2.0933 2022/07/22 23:31:59 - mmengine - INFO - Epoch(train) [32][180/3757] lr: 1.0000e-02 eta: 1 day, 23:45:16 time: 0.7092 data_time: 0.0219 memory: 17350 grad_norm: 5.7410 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8994 loss: 1.8994 2022/07/22 23:32:11 - mmengine - INFO - Epoch(train) [32][200/3757] lr: 1.0000e-02 eta: 1 day, 23:45:00 time: 0.6174 data_time: 0.0221 memory: 17350 grad_norm: 5.4518 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7791 loss: 1.7791 2022/07/22 23:32:24 - mmengine - INFO - Epoch(train) [32][220/3757] lr: 1.0000e-02 eta: 1 day, 23:44:47 time: 0.6503 data_time: 0.0215 memory: 17350 grad_norm: 5.3541 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0458 loss: 2.0458 2022/07/22 23:32:39 - mmengine - INFO - Epoch(train) [32][240/3757] lr: 1.0000e-02 eta: 1 day, 23:44:36 time: 0.7319 data_time: 0.0226 memory: 17350 grad_norm: 5.5845 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7802 loss: 1.7802 2022/07/22 23:32:51 - mmengine - INFO - Epoch(train) [32][260/3757] lr: 1.0000e-02 eta: 1 day, 23:44:20 time: 0.6072 data_time: 0.0222 memory: 17350 grad_norm: 5.3810 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8956 loss: 1.8956 2022/07/22 23:33:05 - mmengine - INFO - Epoch(train) [32][280/3757] lr: 1.0000e-02 eta: 1 day, 23:44:10 time: 0.7294 data_time: 0.0213 memory: 17350 grad_norm: 5.5400 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9357 loss: 1.9357 2022/07/22 23:33:18 - mmengine - INFO - Epoch(train) [32][300/3757] lr: 1.0000e-02 eta: 1 day, 23:43:54 time: 0.6039 data_time: 0.0265 memory: 17350 grad_norm: 5.4706 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8749 loss: 1.8749 2022/07/22 23:33:33 - mmengine - INFO - Epoch(train) [32][320/3757] lr: 1.0000e-02 eta: 1 day, 23:43:45 time: 0.7479 data_time: 0.0240 memory: 17350 grad_norm: 5.7489 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9909 loss: 1.9909 2022/07/22 23:33:44 - mmengine - INFO - Epoch(train) [32][340/3757] lr: 1.0000e-02 eta: 1 day, 23:43:28 time: 0.5812 data_time: 0.0264 memory: 17350 grad_norm: 5.4562 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6513 loss: 1.6513 2022/07/22 23:33:58 - mmengine - INFO - Epoch(train) [32][360/3757] lr: 1.0000e-02 eta: 1 day, 23:43:15 time: 0.6787 data_time: 0.0215 memory: 17350 grad_norm: 5.3854 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7506 loss: 1.7506 2022/07/22 23:34:10 - mmengine - INFO - Epoch(train) [32][380/3757] lr: 1.0000e-02 eta: 1 day, 23:43:00 time: 0.6282 data_time: 0.0236 memory: 17350 grad_norm: 5.4665 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7493 loss: 1.7493 2022/07/22 23:34:25 - mmengine - INFO - Epoch(train) [32][400/3757] lr: 1.0000e-02 eta: 1 day, 23:42:50 time: 0.7193 data_time: 0.0234 memory: 17350 grad_norm: 5.4320 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7469 loss: 1.7469 2022/07/22 23:34:36 - mmengine - INFO - Epoch(train) [32][420/3757] lr: 1.0000e-02 eta: 1 day, 23:42:33 time: 0.5859 data_time: 0.0253 memory: 17350 grad_norm: 5.4321 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8209 loss: 1.8209 2022/07/22 23:34:51 - mmengine - INFO - Epoch(train) [32][440/3757] lr: 1.0000e-02 eta: 1 day, 23:42:22 time: 0.7255 data_time: 0.0230 memory: 17350 grad_norm: 5.3590 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5471 loss: 1.5471 2022/07/22 23:35:05 - mmengine - INFO - Epoch(train) [32][460/3757] lr: 1.0000e-02 eta: 1 day, 23:42:10 time: 0.6807 data_time: 0.0325 memory: 17350 grad_norm: 5.5207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6329 loss: 1.6329 2022/07/22 23:35:19 - mmengine - INFO - Epoch(train) [32][480/3757] lr: 1.0000e-02 eta: 1 day, 23:41:58 time: 0.7008 data_time: 0.0240 memory: 17350 grad_norm: 5.5522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9181 loss: 1.9181 2022/07/22 23:35:31 - mmengine - INFO - Epoch(train) [32][500/3757] lr: 1.0000e-02 eta: 1 day, 23:41:43 time: 0.6311 data_time: 0.0221 memory: 17350 grad_norm: 5.8370 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9125 loss: 1.9125 2022/07/22 23:35:45 - mmengine - INFO - Epoch(train) [32][520/3757] lr: 1.0000e-02 eta: 1 day, 23:41:32 time: 0.7133 data_time: 0.0242 memory: 17350 grad_norm: 5.5665 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6554 loss: 1.6554 2022/07/22 23:35:55 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 23:35:57 - mmengine - INFO - Epoch(train) [32][540/3757] lr: 1.0000e-02 eta: 1 day, 23:41:16 time: 0.5933 data_time: 0.0426 memory: 17350 grad_norm: 5.4092 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6999 loss: 1.6999 2022/07/22 23:36:11 - mmengine - INFO - Epoch(train) [32][560/3757] lr: 1.0000e-02 eta: 1 day, 23:41:04 time: 0.6960 data_time: 0.0794 memory: 17350 grad_norm: 5.4360 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9503 loss: 1.9503 2022/07/22 23:36:25 - mmengine - INFO - Epoch(train) [32][580/3757] lr: 1.0000e-02 eta: 1 day, 23:40:52 time: 0.6982 data_time: 0.1833 memory: 17350 grad_norm: 5.4715 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7884 loss: 1.7884 2022/07/22 23:36:37 - mmengine - INFO - Epoch(train) [32][600/3757] lr: 1.0000e-02 eta: 1 day, 23:40:36 time: 0.6028 data_time: 0.2104 memory: 17350 grad_norm: 5.4729 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8627 loss: 1.8627 2022/07/22 23:36:51 - mmengine - INFO - Epoch(train) [32][620/3757] lr: 1.0000e-02 eta: 1 day, 23:40:25 time: 0.7067 data_time: 0.3055 memory: 17350 grad_norm: 5.4009 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6713 loss: 1.6713 2022/07/22 23:37:05 - mmengine - INFO - Epoch(train) [32][640/3757] lr: 1.0000e-02 eta: 1 day, 23:40:12 time: 0.6627 data_time: 0.2345 memory: 17350 grad_norm: 5.5129 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8465 loss: 1.8465 2022/07/22 23:37:18 - mmengine - INFO - Epoch(train) [32][660/3757] lr: 1.0000e-02 eta: 1 day, 23:39:59 time: 0.6729 data_time: 0.3133 memory: 17350 grad_norm: 5.6508 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1441 loss: 2.1441 2022/07/22 23:37:30 - mmengine - INFO - Epoch(train) [32][680/3757] lr: 1.0000e-02 eta: 1 day, 23:39:43 time: 0.6028 data_time: 0.2420 memory: 17350 grad_norm: 5.4095 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7746 loss: 1.7746 2022/07/22 23:37:45 - mmengine - INFO - Epoch(train) [32][700/3757] lr: 1.0000e-02 eta: 1 day, 23:39:33 time: 0.7434 data_time: 0.4009 memory: 17350 grad_norm: 5.2843 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7010 loss: 1.7010 2022/07/22 23:37:57 - mmengine - INFO - Epoch(train) [32][720/3757] lr: 1.0000e-02 eta: 1 day, 23:39:17 time: 0.5930 data_time: 0.2616 memory: 17350 grad_norm: 5.5091 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8109 loss: 1.8109 2022/07/22 23:38:11 - mmengine - INFO - Epoch(train) [32][740/3757] lr: 1.0000e-02 eta: 1 day, 23:39:06 time: 0.7195 data_time: 0.2982 memory: 17350 grad_norm: 5.5026 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0756 loss: 2.0756 2022/07/22 23:38:23 - mmengine - INFO - Epoch(train) [32][760/3757] lr: 1.0000e-02 eta: 1 day, 23:38:50 time: 0.5982 data_time: 0.1928 memory: 17350 grad_norm: 5.7563 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1185 loss: 2.1185 2022/07/22 23:38:38 - mmengine - INFO - Epoch(train) [32][780/3757] lr: 1.0000e-02 eta: 1 day, 23:38:39 time: 0.7261 data_time: 0.3274 memory: 17350 grad_norm: 5.5269 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1738 loss: 2.1738 2022/07/22 23:38:51 - mmengine - INFO - Epoch(train) [32][800/3757] lr: 1.0000e-02 eta: 1 day, 23:38:25 time: 0.6343 data_time: 0.2011 memory: 17350 grad_norm: 5.4821 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8298 loss: 1.8298 2022/07/22 23:39:05 - mmengine - INFO - Epoch(train) [32][820/3757] lr: 1.0000e-02 eta: 1 day, 23:38:13 time: 0.6980 data_time: 0.3052 memory: 17350 grad_norm: 5.3999 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8536 loss: 1.8536 2022/07/22 23:39:17 - mmengine - INFO - Epoch(train) [32][840/3757] lr: 1.0000e-02 eta: 1 day, 23:37:57 time: 0.6003 data_time: 0.2663 memory: 17350 grad_norm: 5.4523 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8838 loss: 1.8838 2022/07/22 23:39:31 - mmengine - INFO - Epoch(train) [32][860/3757] lr: 1.0000e-02 eta: 1 day, 23:37:46 time: 0.7077 data_time: 0.2990 memory: 17350 grad_norm: 5.6261 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7902 loss: 1.7902 2022/07/22 23:39:43 - mmengine - INFO - Epoch(train) [32][880/3757] lr: 1.0000e-02 eta: 1 day, 23:37:31 time: 0.6305 data_time: 0.1878 memory: 17350 grad_norm: 5.5982 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6092 loss: 1.6092 2022/07/22 23:39:58 - mmengine - INFO - Epoch(train) [32][900/3757] lr: 1.0000e-02 eta: 1 day, 23:37:20 time: 0.7228 data_time: 0.2849 memory: 17350 grad_norm: 5.4689 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9287 loss: 1.9287 2022/07/22 23:40:11 - mmengine - INFO - Epoch(train) [32][920/3757] lr: 1.0000e-02 eta: 1 day, 23:37:07 time: 0.6572 data_time: 0.2071 memory: 17350 grad_norm: 5.4948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7571 loss: 1.7571 2022/07/22 23:40:25 - mmengine - INFO - Epoch(train) [32][940/3757] lr: 1.0000e-02 eta: 1 day, 23:36:55 time: 0.6998 data_time: 0.1185 memory: 17350 grad_norm: 5.4486 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9252 loss: 1.9252 2022/07/22 23:40:37 - mmengine - INFO - Epoch(train) [32][960/3757] lr: 1.0000e-02 eta: 1 day, 23:36:40 time: 0.6207 data_time: 0.0609 memory: 17350 grad_norm: 5.4047 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1295 loss: 2.1295 2022/07/22 23:40:51 - mmengine - INFO - Epoch(train) [32][980/3757] lr: 1.0000e-02 eta: 1 day, 23:36:27 time: 0.6722 data_time: 0.0218 memory: 17350 grad_norm: 5.5037 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9685 loss: 1.9685 2022/07/22 23:41:06 - mmengine - INFO - Epoch(train) [32][1000/3757] lr: 1.0000e-02 eta: 1 day, 23:36:17 time: 0.7343 data_time: 0.0240 memory: 17350 grad_norm: 5.6159 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9959 loss: 1.9959 2022/07/22 23:41:17 - mmengine - INFO - Epoch(train) [32][1020/3757] lr: 1.0000e-02 eta: 1 day, 23:36:00 time: 0.5752 data_time: 0.0234 memory: 17350 grad_norm: 5.5650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7342 loss: 1.7342 2022/07/22 23:41:32 - mmengine - INFO - Epoch(train) [32][1040/3757] lr: 1.0000e-02 eta: 1 day, 23:35:51 time: 0.7647 data_time: 0.0222 memory: 17350 grad_norm: 5.5944 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9573 loss: 1.9573 2022/07/22 23:41:44 - mmengine - INFO - Epoch(train) [32][1060/3757] lr: 1.0000e-02 eta: 1 day, 23:35:33 time: 0.5710 data_time: 0.0242 memory: 17350 grad_norm: 5.6085 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8560 loss: 1.8560 2022/07/22 23:41:58 - mmengine - INFO - Epoch(train) [32][1080/3757] lr: 1.0000e-02 eta: 1 day, 23:35:23 time: 0.7292 data_time: 0.0219 memory: 17350 grad_norm: 5.3514 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7141 loss: 1.7141 2022/07/22 23:42:11 - mmengine - INFO - Epoch(train) [32][1100/3757] lr: 1.0000e-02 eta: 1 day, 23:35:08 time: 0.6174 data_time: 0.0220 memory: 17350 grad_norm: 5.2908 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9887 loss: 1.9887 2022/07/22 23:42:24 - mmengine - INFO - Epoch(train) [32][1120/3757] lr: 1.0000e-02 eta: 1 day, 23:34:55 time: 0.6782 data_time: 0.0235 memory: 17350 grad_norm: 5.6751 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8378 loss: 1.8378 2022/07/22 23:42:37 - mmengine - INFO - Epoch(train) [32][1140/3757] lr: 1.0000e-02 eta: 1 day, 23:34:40 time: 0.6233 data_time: 0.0247 memory: 17350 grad_norm: 5.7176 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9096 loss: 1.9096 2022/07/22 23:42:52 - mmengine - INFO - Epoch(train) [32][1160/3757] lr: 1.0000e-02 eta: 1 day, 23:34:30 time: 0.7434 data_time: 0.0218 memory: 17350 grad_norm: 5.5730 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8236 loss: 1.8236 2022/07/22 23:43:04 - mmengine - INFO - Epoch(train) [32][1180/3757] lr: 1.0000e-02 eta: 1 day, 23:34:14 time: 0.5994 data_time: 0.0240 memory: 17350 grad_norm: 5.6252 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9589 loss: 1.9589 2022/07/22 23:43:19 - mmengine - INFO - Epoch(train) [32][1200/3757] lr: 1.0000e-02 eta: 1 day, 23:34:05 time: 0.7523 data_time: 0.0249 memory: 17350 grad_norm: 5.6208 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9554 loss: 1.9554 2022/07/22 23:43:31 - mmengine - INFO - Epoch(train) [32][1220/3757] lr: 1.0000e-02 eta: 1 day, 23:33:49 time: 0.6142 data_time: 0.1039 memory: 17350 grad_norm: 5.3682 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8048 loss: 1.8048 2022/07/22 23:43:46 - mmengine - INFO - Epoch(train) [32][1240/3757] lr: 1.0000e-02 eta: 1 day, 23:33:39 time: 0.7274 data_time: 0.1565 memory: 17350 grad_norm: 5.3886 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7572 loss: 1.7572 2022/07/22 23:43:57 - mmengine - INFO - Epoch(train) [32][1260/3757] lr: 1.0000e-02 eta: 1 day, 23:33:22 time: 0.5832 data_time: 0.0441 memory: 17350 grad_norm: 5.4362 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7373 loss: 1.7373 2022/07/22 23:44:12 - mmengine - INFO - Epoch(train) [32][1280/3757] lr: 1.0000e-02 eta: 1 day, 23:33:11 time: 0.7157 data_time: 0.1056 memory: 17350 grad_norm: 5.5961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7793 loss: 1.7793 2022/07/22 23:44:24 - mmengine - INFO - Epoch(train) [32][1300/3757] lr: 1.0000e-02 eta: 1 day, 23:32:56 time: 0.6212 data_time: 0.0237 memory: 17350 grad_norm: 5.5575 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8315 loss: 1.8315 2022/07/22 23:44:37 - mmengine - INFO - Epoch(train) [32][1320/3757] lr: 1.0000e-02 eta: 1 day, 23:32:43 time: 0.6632 data_time: 0.0248 memory: 17350 grad_norm: 5.7720 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8200 loss: 1.8200 2022/07/22 23:44:52 - mmengine - INFO - Epoch(train) [32][1340/3757] lr: 1.0000e-02 eta: 1 day, 23:32:33 time: 0.7406 data_time: 0.0226 memory: 17350 grad_norm: 5.4979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6791 loss: 1.6791 2022/07/22 23:45:07 - mmengine - INFO - Epoch(train) [32][1360/3757] lr: 1.0000e-02 eta: 1 day, 23:32:24 time: 0.7688 data_time: 0.0553 memory: 17350 grad_norm: 5.6187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2943 loss: 2.2943 2022/07/22 23:45:21 - mmengine - INFO - Epoch(train) [32][1380/3757] lr: 1.0000e-02 eta: 1 day, 23:32:11 time: 0.6796 data_time: 0.0363 memory: 17350 grad_norm: 5.3185 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9572 loss: 1.9572 2022/07/22 23:45:34 - mmengine - INFO - Epoch(train) [32][1400/3757] lr: 1.0000e-02 eta: 1 day, 23:31:58 time: 0.6500 data_time: 0.0222 memory: 17350 grad_norm: 5.4372 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8535 loss: 1.8535 2022/07/22 23:45:46 - mmengine - INFO - Epoch(train) [32][1420/3757] lr: 1.0000e-02 eta: 1 day, 23:31:42 time: 0.6171 data_time: 0.0242 memory: 17350 grad_norm: 5.6269 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0182 loss: 2.0182 2022/07/22 23:46:01 - mmengine - INFO - Epoch(train) [32][1440/3757] lr: 1.0000e-02 eta: 1 day, 23:31:33 time: 0.7446 data_time: 0.0227 memory: 17350 grad_norm: 5.4596 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9364 loss: 1.9364 2022/07/22 23:46:13 - mmengine - INFO - Epoch(train) [32][1460/3757] lr: 1.0000e-02 eta: 1 day, 23:31:17 time: 0.6038 data_time: 0.0246 memory: 17350 grad_norm: 5.5511 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5891 loss: 1.5891 2022/07/22 23:46:28 - mmengine - INFO - Epoch(train) [32][1480/3757] lr: 1.0000e-02 eta: 1 day, 23:31:06 time: 0.7211 data_time: 0.0243 memory: 17350 grad_norm: 5.5472 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9689 loss: 1.9689 2022/07/22 23:46:39 - mmengine - INFO - Epoch(train) [32][1500/3757] lr: 1.0000e-02 eta: 1 day, 23:30:49 time: 0.5748 data_time: 0.0259 memory: 17350 grad_norm: 5.4845 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0332 loss: 2.0332 2022/07/22 23:46:54 - mmengine - INFO - Epoch(train) [32][1520/3757] lr: 1.0000e-02 eta: 1 day, 23:30:39 time: 0.7473 data_time: 0.0241 memory: 17350 grad_norm: 5.6170 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9553 loss: 1.9553 2022/07/22 23:47:01 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 23:47:07 - mmengine - INFO - Epoch(train) [32][1540/3757] lr: 1.0000e-02 eta: 1 day, 23:30:24 time: 0.6158 data_time: 0.0275 memory: 17350 grad_norm: 5.4239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7094 loss: 1.7094 2022/07/22 23:47:20 - mmengine - INFO - Epoch(train) [32][1560/3757] lr: 1.0000e-02 eta: 1 day, 23:30:10 time: 0.6593 data_time: 0.0228 memory: 17350 grad_norm: 5.6336 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8805 loss: 1.8805 2022/07/22 23:47:32 - mmengine - INFO - Epoch(train) [32][1580/3757] lr: 1.0000e-02 eta: 1 day, 23:29:55 time: 0.6109 data_time: 0.0227 memory: 17350 grad_norm: 5.4387 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8058 loss: 1.8058 2022/07/22 23:47:47 - mmengine - INFO - Epoch(train) [32][1600/3757] lr: 1.0000e-02 eta: 1 day, 23:29:45 time: 0.7501 data_time: 0.0228 memory: 17350 grad_norm: 5.4000 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8737 loss: 1.8737 2022/07/22 23:47:58 - mmengine - INFO - Epoch(train) [32][1620/3757] lr: 1.0000e-02 eta: 1 day, 23:29:28 time: 0.5664 data_time: 0.0227 memory: 17350 grad_norm: 5.4843 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8748 loss: 1.8748 2022/07/22 23:48:13 - mmengine - INFO - Epoch(train) [32][1640/3757] lr: 1.0000e-02 eta: 1 day, 23:29:17 time: 0.7149 data_time: 0.0227 memory: 17350 grad_norm: 5.7168 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9884 loss: 1.9884 2022/07/22 23:48:25 - mmengine - INFO - Epoch(train) [32][1660/3757] lr: 1.0000e-02 eta: 1 day, 23:29:01 time: 0.6186 data_time: 0.0238 memory: 17350 grad_norm: 5.4751 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7668 loss: 1.7668 2022/07/22 23:48:40 - mmengine - INFO - Epoch(train) [32][1680/3757] lr: 1.0000e-02 eta: 1 day, 23:28:52 time: 0.7420 data_time: 0.0224 memory: 17350 grad_norm: 5.6298 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 1.5477 loss: 1.5477 2022/07/22 23:48:52 - mmengine - INFO - Epoch(train) [32][1700/3757] lr: 1.0000e-02 eta: 1 day, 23:28:35 time: 0.5988 data_time: 0.0252 memory: 17350 grad_norm: 5.4901 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6268 loss: 1.6268 2022/07/22 23:49:06 - mmengine - INFO - Epoch(train) [32][1720/3757] lr: 1.0000e-02 eta: 1 day, 23:28:24 time: 0.7131 data_time: 0.0214 memory: 17350 grad_norm: 5.5489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7469 loss: 1.7469 2022/07/22 23:49:18 - mmengine - INFO - Epoch(train) [32][1740/3757] lr: 1.0000e-02 eta: 1 day, 23:28:09 time: 0.6078 data_time: 0.0363 memory: 17350 grad_norm: 5.6397 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9800 loss: 1.9800 2022/07/22 23:49:32 - mmengine - INFO - Epoch(train) [32][1760/3757] lr: 1.0000e-02 eta: 1 day, 23:27:57 time: 0.7046 data_time: 0.0764 memory: 17350 grad_norm: 5.2037 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5816 loss: 1.5816 2022/07/22 23:49:45 - mmengine - INFO - Epoch(train) [32][1780/3757] lr: 1.0000e-02 eta: 1 day, 23:27:43 time: 0.6536 data_time: 0.0896 memory: 17350 grad_norm: 5.5090 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8208 loss: 1.8208 2022/07/22 23:49:59 - mmengine - INFO - Epoch(train) [32][1800/3757] lr: 1.0000e-02 eta: 1 day, 23:27:32 time: 0.6984 data_time: 0.1608 memory: 17350 grad_norm: 5.5904 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0472 loss: 2.0472 2022/07/22 23:50:13 - mmengine - INFO - Epoch(train) [32][1820/3757] lr: 1.0000e-02 eta: 1 day, 23:27:19 time: 0.6797 data_time: 0.2112 memory: 17350 grad_norm: 5.6817 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7016 loss: 1.7016 2022/07/22 23:50:26 - mmengine - INFO - Epoch(train) [32][1840/3757] lr: 1.0000e-02 eta: 1 day, 23:27:04 time: 0.6258 data_time: 0.2354 memory: 17350 grad_norm: 5.5932 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2294 loss: 2.2294 2022/07/22 23:50:40 - mmengine - INFO - Epoch(train) [32][1860/3757] lr: 1.0000e-02 eta: 1 day, 23:26:52 time: 0.6958 data_time: 0.2950 memory: 17350 grad_norm: 5.7499 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2412 loss: 2.2412 2022/07/22 23:50:53 - mmengine - INFO - Epoch(train) [32][1880/3757] lr: 1.0000e-02 eta: 1 day, 23:26:39 time: 0.6714 data_time: 0.1463 memory: 17350 grad_norm: 5.5449 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0461 loss: 2.0461 2022/07/22 23:51:07 - mmengine - INFO - Epoch(train) [32][1900/3757] lr: 1.0000e-02 eta: 1 day, 23:26:27 time: 0.6882 data_time: 0.1059 memory: 17350 grad_norm: 5.5626 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8404 loss: 1.8404 2022/07/22 23:51:19 - mmengine - INFO - Epoch(train) [32][1920/3757] lr: 1.0000e-02 eta: 1 day, 23:26:12 time: 0.6163 data_time: 0.0882 memory: 17350 grad_norm: 5.5114 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9448 loss: 1.9448 2022/07/22 23:51:33 - mmengine - INFO - Epoch(train) [32][1940/3757] lr: 1.0000e-02 eta: 1 day, 23:26:01 time: 0.7133 data_time: 0.0944 memory: 17350 grad_norm: 5.4704 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1741 loss: 2.1741 2022/07/22 23:51:46 - mmengine - INFO - Epoch(train) [32][1960/3757] lr: 1.0000e-02 eta: 1 day, 23:25:46 time: 0.6385 data_time: 0.0902 memory: 17350 grad_norm: 5.6592 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0759 loss: 2.0759 2022/07/22 23:51:59 - mmengine - INFO - Epoch(train) [32][1980/3757] lr: 1.0000e-02 eta: 1 day, 23:25:33 time: 0.6554 data_time: 0.1428 memory: 17350 grad_norm: 5.4314 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7685 loss: 1.7685 2022/07/22 23:52:12 - mmengine - INFO - Epoch(train) [32][2000/3757] lr: 1.0000e-02 eta: 1 day, 23:25:19 time: 0.6483 data_time: 0.1855 memory: 17350 grad_norm: 5.6569 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9829 loss: 1.9829 2022/07/22 23:52:27 - mmengine - INFO - Epoch(train) [32][2020/3757] lr: 1.0000e-02 eta: 1 day, 23:25:09 time: 0.7474 data_time: 0.3110 memory: 17350 grad_norm: 5.5297 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8872 loss: 1.8872 2022/07/22 23:52:39 - mmengine - INFO - Epoch(train) [32][2040/3757] lr: 1.0000e-02 eta: 1 day, 23:24:52 time: 0.5721 data_time: 0.1725 memory: 17350 grad_norm: 5.4474 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0773 loss: 2.0773 2022/07/22 23:52:53 - mmengine - INFO - Epoch(train) [32][2060/3757] lr: 1.0000e-02 eta: 1 day, 23:24:42 time: 0.7335 data_time: 0.2902 memory: 17350 grad_norm: 5.4373 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7362 loss: 1.7362 2022/07/22 23:53:06 - mmengine - INFO - Epoch(train) [32][2080/3757] lr: 1.0000e-02 eta: 1 day, 23:24:26 time: 0.6139 data_time: 0.1707 memory: 17350 grad_norm: 5.6351 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8935 loss: 1.8935 2022/07/22 23:53:19 - mmengine - INFO - Epoch(train) [32][2100/3757] lr: 1.0000e-02 eta: 1 day, 23:24:14 time: 0.6820 data_time: 0.2391 memory: 17350 grad_norm: 5.5311 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9138 loss: 1.9138 2022/07/22 23:53:32 - mmengine - INFO - Epoch(train) [32][2120/3757] lr: 1.0000e-02 eta: 1 day, 23:24:00 time: 0.6530 data_time: 0.2750 memory: 17350 grad_norm: 5.4157 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8400 loss: 1.8400 2022/07/22 23:53:47 - mmengine - INFO - Epoch(train) [32][2140/3757] lr: 1.0000e-02 eta: 1 day, 23:23:49 time: 0.7225 data_time: 0.3620 memory: 17350 grad_norm: 5.4128 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0568 loss: 2.0568 2022/07/22 23:53:58 - mmengine - INFO - Epoch(train) [32][2160/3757] lr: 1.0000e-02 eta: 1 day, 23:23:32 time: 0.5767 data_time: 0.2477 memory: 17350 grad_norm: 5.5447 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1023 loss: 2.1023 2022/07/22 23:54:14 - mmengine - INFO - Epoch(train) [32][2180/3757] lr: 1.0000e-02 eta: 1 day, 23:23:24 time: 0.7710 data_time: 0.3754 memory: 17350 grad_norm: 5.7166 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.9307 loss: 1.9307 2022/07/22 23:54:26 - mmengine - INFO - Epoch(train) [32][2200/3757] lr: 1.0000e-02 eta: 1 day, 23:23:07 time: 0.5890 data_time: 0.2518 memory: 17350 grad_norm: 5.3241 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6889 loss: 1.6889 2022/07/22 23:54:40 - mmengine - INFO - Epoch(train) [32][2220/3757] lr: 1.0000e-02 eta: 1 day, 23:22:56 time: 0.7242 data_time: 0.3781 memory: 17350 grad_norm: 5.6045 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0162 loss: 2.0162 2022/07/22 23:54:52 - mmengine - INFO - Epoch(train) [32][2240/3757] lr: 1.0000e-02 eta: 1 day, 23:22:41 time: 0.6043 data_time: 0.2737 memory: 17350 grad_norm: 5.6851 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9579 loss: 1.9579 2022/07/22 23:55:07 - mmengine - INFO - Epoch(train) [32][2260/3757] lr: 1.0000e-02 eta: 1 day, 23:22:30 time: 0.7222 data_time: 0.3918 memory: 17350 grad_norm: 5.4629 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8299 loss: 1.8299 2022/07/22 23:55:18 - mmengine - INFO - Epoch(train) [32][2280/3757] lr: 1.0000e-02 eta: 1 day, 23:22:12 time: 0.5685 data_time: 0.2440 memory: 17350 grad_norm: 5.7596 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9854 loss: 1.9854 2022/07/22 23:55:33 - mmengine - INFO - Epoch(train) [32][2300/3757] lr: 1.0000e-02 eta: 1 day, 23:22:03 time: 0.7562 data_time: 0.4292 memory: 17350 grad_norm: 5.6999 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0621 loss: 2.0621 2022/07/22 23:55:45 - mmengine - INFO - Epoch(train) [32][2320/3757] lr: 1.0000e-02 eta: 1 day, 23:21:48 time: 0.6135 data_time: 0.2883 memory: 17350 grad_norm: 5.3565 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7636 loss: 1.7636 2022/07/22 23:56:00 - mmengine - INFO - Epoch(train) [32][2340/3757] lr: 1.0000e-02 eta: 1 day, 23:21:37 time: 0.7150 data_time: 0.3699 memory: 17350 grad_norm: 5.3230 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9461 loss: 1.9461 2022/07/22 23:56:13 - mmengine - INFO - Epoch(train) [32][2360/3757] lr: 1.0000e-02 eta: 1 day, 23:21:23 time: 0.6476 data_time: 0.2508 memory: 17350 grad_norm: 5.7309 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0474 loss: 2.0474 2022/07/22 23:56:27 - mmengine - INFO - Epoch(train) [32][2380/3757] lr: 1.0000e-02 eta: 1 day, 23:21:12 time: 0.7309 data_time: 0.3229 memory: 17350 grad_norm: 5.7366 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9666 loss: 1.9666 2022/07/22 23:56:39 - mmengine - INFO - Epoch(train) [32][2400/3757] lr: 1.0000e-02 eta: 1 day, 23:20:55 time: 0.5675 data_time: 0.1626 memory: 17350 grad_norm: 5.4870 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8464 loss: 1.8464 2022/07/22 23:56:53 - mmengine - INFO - Epoch(train) [32][2420/3757] lr: 1.0000e-02 eta: 1 day, 23:20:44 time: 0.7117 data_time: 0.3512 memory: 17350 grad_norm: 5.5586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8136 loss: 1.8136 2022/07/22 23:57:04 - mmengine - INFO - Epoch(train) [32][2440/3757] lr: 1.0000e-02 eta: 1 day, 23:20:27 time: 0.5768 data_time: 0.2063 memory: 17350 grad_norm: 5.4238 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6669 loss: 1.6669 2022/07/22 23:57:19 - mmengine - INFO - Epoch(train) [32][2460/3757] lr: 1.0000e-02 eta: 1 day, 23:20:16 time: 0.7233 data_time: 0.3565 memory: 17350 grad_norm: 5.3960 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7487 loss: 1.7487 2022/07/22 23:57:31 - mmengine - INFO - Epoch(train) [32][2480/3757] lr: 1.0000e-02 eta: 1 day, 23:20:00 time: 0.6117 data_time: 0.2703 memory: 17350 grad_norm: 5.4528 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9686 loss: 1.9686 2022/07/22 23:57:46 - mmengine - INFO - Epoch(train) [32][2500/3757] lr: 1.0000e-02 eta: 1 day, 23:19:50 time: 0.7261 data_time: 0.3598 memory: 17350 grad_norm: 5.4311 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0562 loss: 2.0562 2022/07/22 23:57:58 - mmengine - INFO - Epoch(train) [32][2520/3757] lr: 1.0000e-02 eta: 1 day, 23:19:35 time: 0.6157 data_time: 0.2889 memory: 17350 grad_norm: 5.5180 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9293 loss: 1.9293 2022/07/22 23:58:08 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/22 23:58:14 - mmengine - INFO - Epoch(train) [32][2540/3757] lr: 1.0000e-02 eta: 1 day, 23:19:28 time: 0.8163 data_time: 0.3858 memory: 17350 grad_norm: 5.5277 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1398 loss: 2.1398 2022/07/22 23:58:25 - mmengine - INFO - Epoch(train) [32][2560/3757] lr: 1.0000e-02 eta: 1 day, 23:19:09 time: 0.5338 data_time: 0.1734 memory: 17350 grad_norm: 5.3258 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6611 loss: 1.6611 2022/07/22 23:58:39 - mmengine - INFO - Epoch(train) [32][2580/3757] lr: 1.0000e-02 eta: 1 day, 23:18:57 time: 0.6868 data_time: 0.1640 memory: 17350 grad_norm: 5.6381 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8811 loss: 1.8811 2022/07/22 23:58:51 - mmengine - INFO - Epoch(train) [32][2600/3757] lr: 1.0000e-02 eta: 1 day, 23:18:42 time: 0.6377 data_time: 0.1068 memory: 17350 grad_norm: 5.5474 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1520 loss: 2.1520 2022/07/22 23:59:05 - mmengine - INFO - Epoch(train) [32][2620/3757] lr: 1.0000e-02 eta: 1 day, 23:18:30 time: 0.6872 data_time: 0.2456 memory: 17350 grad_norm: 5.3838 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9481 loss: 1.9481 2022/07/22 23:59:19 - mmengine - INFO - Epoch(train) [32][2640/3757] lr: 1.0000e-02 eta: 1 day, 23:18:17 time: 0.6689 data_time: 0.0795 memory: 17350 grad_norm: 5.4638 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8925 loss: 1.8925 2022/07/22 23:59:32 - mmengine - INFO - Epoch(train) [32][2660/3757] lr: 1.0000e-02 eta: 1 day, 23:18:03 time: 0.6536 data_time: 0.1673 memory: 17350 grad_norm: 5.4716 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6837 loss: 1.6837 2022/07/22 23:59:45 - mmengine - INFO - Epoch(train) [32][2680/3757] lr: 1.0000e-02 eta: 1 day, 23:17:49 time: 0.6502 data_time: 0.1028 memory: 17350 grad_norm: 5.4851 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9953 loss: 1.9953 2022/07/22 23:59:58 - mmengine - INFO - Epoch(train) [32][2700/3757] lr: 1.0000e-02 eta: 1 day, 23:17:36 time: 0.6506 data_time: 0.0957 memory: 17350 grad_norm: 5.5200 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5302 loss: 1.5302 2022/07/23 00:00:13 - mmengine - INFO - Epoch(train) [32][2720/3757] lr: 1.0000e-02 eta: 1 day, 23:17:26 time: 0.7558 data_time: 0.0404 memory: 17350 grad_norm: 5.5534 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8374 loss: 1.8374 2022/07/23 00:00:25 - mmengine - INFO - Epoch(train) [32][2740/3757] lr: 1.0000e-02 eta: 1 day, 23:17:11 time: 0.6167 data_time: 0.0278 memory: 17350 grad_norm: 5.5397 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2869 loss: 2.2869 2022/07/23 00:00:39 - mmengine - INFO - Epoch(train) [32][2760/3757] lr: 1.0000e-02 eta: 1 day, 23:17:00 time: 0.7108 data_time: 0.0219 memory: 17350 grad_norm: 5.6718 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8864 loss: 1.8864 2022/07/23 00:00:52 - mmengine - INFO - Epoch(train) [32][2780/3757] lr: 1.0000e-02 eta: 1 day, 23:16:44 time: 0.6158 data_time: 0.0371 memory: 17350 grad_norm: 5.6674 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8809 loss: 1.8809 2022/07/23 00:01:06 - mmengine - INFO - Epoch(train) [32][2800/3757] lr: 1.0000e-02 eta: 1 day, 23:16:33 time: 0.6988 data_time: 0.0848 memory: 17350 grad_norm: 5.5511 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6590 loss: 1.6590 2022/07/23 00:01:20 - mmengine - INFO - Epoch(train) [32][2820/3757] lr: 1.0000e-02 eta: 1 day, 23:16:22 time: 0.7170 data_time: 0.2717 memory: 17350 grad_norm: 5.6889 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8454 loss: 1.8454 2022/07/23 00:01:33 - mmengine - INFO - Epoch(train) [32][2840/3757] lr: 1.0000e-02 eta: 1 day, 23:16:07 time: 0.6272 data_time: 0.2271 memory: 17350 grad_norm: 5.4941 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8893 loss: 1.8893 2022/07/23 00:01:47 - mmengine - INFO - Epoch(train) [32][2860/3757] lr: 1.0000e-02 eta: 1 day, 23:15:56 time: 0.7244 data_time: 0.3345 memory: 17350 grad_norm: 5.6123 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8838 loss: 1.8838 2022/07/23 00:01:59 - mmengine - INFO - Epoch(train) [32][2880/3757] lr: 1.0000e-02 eta: 1 day, 23:15:39 time: 0.5821 data_time: 0.1722 memory: 17350 grad_norm: 5.5177 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8521 loss: 1.8521 2022/07/23 00:02:12 - mmengine - INFO - Epoch(train) [32][2900/3757] lr: 1.0000e-02 eta: 1 day, 23:15:26 time: 0.6584 data_time: 0.1696 memory: 17350 grad_norm: 5.3998 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8087 loss: 1.8087 2022/07/23 00:02:27 - mmengine - INFO - Epoch(train) [32][2920/3757] lr: 1.0000e-02 eta: 1 day, 23:15:16 time: 0.7498 data_time: 0.0320 memory: 17350 grad_norm: 5.3840 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7782 loss: 1.7782 2022/07/23 00:02:40 - mmengine - INFO - Epoch(train) [32][2940/3757] lr: 1.0000e-02 eta: 1 day, 23:15:02 time: 0.6329 data_time: 0.1479 memory: 17350 grad_norm: 5.6590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7912 loss: 1.7912 2022/07/23 00:02:54 - mmengine - INFO - Epoch(train) [32][2960/3757] lr: 1.0000e-02 eta: 1 day, 23:14:50 time: 0.6968 data_time: 0.0680 memory: 17350 grad_norm: 5.4204 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0544 loss: 2.0544 2022/07/23 00:03:06 - mmengine - INFO - Epoch(train) [32][2980/3757] lr: 1.0000e-02 eta: 1 day, 23:14:34 time: 0.6058 data_time: 0.0478 memory: 17350 grad_norm: 5.4187 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5360 loss: 1.5360 2022/07/23 00:03:20 - mmengine - INFO - Epoch(train) [32][3000/3757] lr: 1.0000e-02 eta: 1 day, 23:14:24 time: 0.7293 data_time: 0.0222 memory: 17350 grad_norm: 5.4020 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7535 loss: 1.7535 2022/07/23 00:03:33 - mmengine - INFO - Epoch(train) [32][3020/3757] lr: 1.0000e-02 eta: 1 day, 23:14:09 time: 0.6290 data_time: 0.0234 memory: 17350 grad_norm: 5.6442 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2120 loss: 2.2120 2022/07/23 00:03:47 - mmengine - INFO - Epoch(train) [32][3040/3757] lr: 1.0000e-02 eta: 1 day, 23:13:58 time: 0.7197 data_time: 0.0224 memory: 17350 grad_norm: 5.6113 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9788 loss: 1.9788 2022/07/23 00:03:58 - mmengine - INFO - Epoch(train) [32][3060/3757] lr: 1.0000e-02 eta: 1 day, 23:13:39 time: 0.5420 data_time: 0.0240 memory: 17350 grad_norm: 5.5550 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8154 loss: 1.8154 2022/07/23 00:04:12 - mmengine - INFO - Epoch(train) [32][3080/3757] lr: 1.0000e-02 eta: 1 day, 23:13:28 time: 0.7063 data_time: 0.0238 memory: 17350 grad_norm: 5.4752 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6496 loss: 1.6496 2022/07/23 00:04:25 - mmengine - INFO - Epoch(train) [32][3100/3757] lr: 1.0000e-02 eta: 1 day, 23:13:13 time: 0.6332 data_time: 0.0229 memory: 17350 grad_norm: 5.5704 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7596 loss: 1.7596 2022/07/23 00:04:39 - mmengine - INFO - Epoch(train) [32][3120/3757] lr: 1.0000e-02 eta: 1 day, 23:13:02 time: 0.7101 data_time: 0.0220 memory: 17350 grad_norm: 5.5075 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0141 loss: 2.0141 2022/07/23 00:04:52 - mmengine - INFO - Epoch(train) [32][3140/3757] lr: 1.0000e-02 eta: 1 day, 23:12:47 time: 0.6281 data_time: 0.0261 memory: 17350 grad_norm: 5.8097 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7954 loss: 1.7954 2022/07/23 00:05:06 - mmengine - INFO - Epoch(train) [32][3160/3757] lr: 1.0000e-02 eta: 1 day, 23:12:36 time: 0.7142 data_time: 0.0224 memory: 17350 grad_norm: 5.3387 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9500 loss: 1.9500 2022/07/23 00:05:19 - mmengine - INFO - Epoch(train) [32][3180/3757] lr: 1.0000e-02 eta: 1 day, 23:12:23 time: 0.6705 data_time: 0.0251 memory: 17350 grad_norm: 5.4505 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7783 loss: 1.7783 2022/07/23 00:05:33 - mmengine - INFO - Epoch(train) [32][3200/3757] lr: 1.0000e-02 eta: 1 day, 23:12:10 time: 0.6611 data_time: 0.0220 memory: 17350 grad_norm: 5.3357 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8687 loss: 1.8687 2022/07/23 00:05:46 - mmengine - INFO - Epoch(train) [32][3220/3757] lr: 1.0000e-02 eta: 1 day, 23:11:56 time: 0.6590 data_time: 0.0232 memory: 17350 grad_norm: 5.6221 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7658 loss: 1.7658 2022/07/23 00:06:00 - mmengine - INFO - Epoch(train) [32][3240/3757] lr: 1.0000e-02 eta: 1 day, 23:11:45 time: 0.6994 data_time: 0.0243 memory: 17350 grad_norm: 5.3858 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8214 loss: 1.8214 2022/07/23 00:06:13 - mmengine - INFO - Epoch(train) [32][3260/3757] lr: 1.0000e-02 eta: 1 day, 23:11:31 time: 0.6468 data_time: 0.0363 memory: 17350 grad_norm: 5.5104 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8220 loss: 1.8220 2022/07/23 00:06:27 - mmengine - INFO - Epoch(train) [32][3280/3757] lr: 1.0000e-02 eta: 1 day, 23:11:19 time: 0.7018 data_time: 0.0260 memory: 17350 grad_norm: 5.6354 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.8414 loss: 1.8414 2022/07/23 00:06:39 - mmengine - INFO - Epoch(train) [32][3300/3757] lr: 1.0000e-02 eta: 1 day, 23:11:04 time: 0.6312 data_time: 0.0216 memory: 17350 grad_norm: 5.5043 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7561 loss: 1.7561 2022/07/23 00:06:54 - mmengine - INFO - Epoch(train) [32][3320/3757] lr: 1.0000e-02 eta: 1 day, 23:10:55 time: 0.7515 data_time: 0.0231 memory: 17350 grad_norm: 5.4278 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7427 loss: 1.7427 2022/07/23 00:07:04 - mmengine - INFO - Epoch(train) [32][3340/3757] lr: 1.0000e-02 eta: 1 day, 23:10:34 time: 0.4966 data_time: 0.0369 memory: 17350 grad_norm: 5.3641 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9432 loss: 1.9432 2022/07/23 00:07:18 - mmengine - INFO - Epoch(train) [32][3360/3757] lr: 1.0000e-02 eta: 1 day, 23:10:22 time: 0.6801 data_time: 0.0575 memory: 17350 grad_norm: 5.2538 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6357 loss: 1.6357 2022/07/23 00:07:32 - mmengine - INFO - Epoch(train) [32][3380/3757] lr: 1.0000e-02 eta: 1 day, 23:10:11 time: 0.7102 data_time: 0.1488 memory: 17350 grad_norm: 5.4820 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8409 loss: 1.8409 2022/07/23 00:07:46 - mmengine - INFO - Epoch(train) [32][3400/3757] lr: 1.0000e-02 eta: 1 day, 23:09:58 time: 0.6898 data_time: 0.0281 memory: 17350 grad_norm: 5.5476 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0282 loss: 2.0282 2022/07/23 00:07:59 - mmengine - INFO - Epoch(train) [32][3420/3757] lr: 1.0000e-02 eta: 1 day, 23:09:45 time: 0.6616 data_time: 0.0253 memory: 17350 grad_norm: 5.5114 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8112 loss: 1.8112 2022/07/23 00:08:13 - mmengine - INFO - Epoch(train) [32][3440/3757] lr: 1.0000e-02 eta: 1 day, 23:09:33 time: 0.7043 data_time: 0.0244 memory: 17350 grad_norm: 5.4084 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0388 loss: 2.0388 2022/07/23 00:08:26 - mmengine - INFO - Epoch(train) [32][3460/3757] lr: 1.0000e-02 eta: 1 day, 23:09:18 time: 0.6082 data_time: 0.0223 memory: 17350 grad_norm: 5.3983 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8390 loss: 1.8390 2022/07/23 00:08:39 - mmengine - INFO - Epoch(train) [32][3480/3757] lr: 1.0000e-02 eta: 1 day, 23:09:06 time: 0.6886 data_time: 0.0214 memory: 17350 grad_norm: 5.4787 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5984 loss: 1.5984 2022/07/23 00:08:52 - mmengine - INFO - Epoch(train) [32][3500/3757] lr: 1.0000e-02 eta: 1 day, 23:08:51 time: 0.6400 data_time: 0.0227 memory: 17350 grad_norm: 5.5835 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7965 loss: 1.7965 2022/07/23 00:09:06 - mmengine - INFO - Epoch(train) [32][3520/3757] lr: 1.0000e-02 eta: 1 day, 23:08:40 time: 0.6974 data_time: 0.0229 memory: 17350 grad_norm: 5.7215 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1515 loss: 2.1515 2022/07/23 00:09:16 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 00:09:18 - mmengine - INFO - Epoch(train) [32][3540/3757] lr: 1.0000e-02 eta: 1 day, 23:08:24 time: 0.6185 data_time: 0.0239 memory: 17350 grad_norm: 5.7299 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0376 loss: 2.0376 2022/07/23 00:09:32 - mmengine - INFO - Epoch(train) [32][3560/3757] lr: 1.0000e-02 eta: 1 day, 23:08:12 time: 0.6935 data_time: 0.0237 memory: 17350 grad_norm: 5.4104 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9769 loss: 1.9769 2022/07/23 00:09:45 - mmengine - INFO - Epoch(train) [32][3580/3757] lr: 1.0000e-02 eta: 1 day, 23:07:57 time: 0.6093 data_time: 0.0230 memory: 17350 grad_norm: 5.4922 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9143 loss: 1.9143 2022/07/23 00:09:59 - mmengine - INFO - Epoch(train) [32][3600/3757] lr: 1.0000e-02 eta: 1 day, 23:07:46 time: 0.7336 data_time: 0.0220 memory: 17350 grad_norm: 5.5948 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8508 loss: 1.8508 2022/07/23 00:10:12 - mmengine - INFO - Epoch(train) [32][3620/3757] lr: 1.0000e-02 eta: 1 day, 23:07:32 time: 0.6281 data_time: 0.0257 memory: 17350 grad_norm: 5.6471 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8308 loss: 1.8308 2022/07/23 00:10:26 - mmengine - INFO - Epoch(train) [32][3640/3757] lr: 1.0000e-02 eta: 1 day, 23:07:20 time: 0.6984 data_time: 0.0230 memory: 17350 grad_norm: 5.4347 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8283 loss: 1.8283 2022/07/23 00:10:38 - mmengine - INFO - Epoch(train) [32][3660/3757] lr: 1.0000e-02 eta: 1 day, 23:07:04 time: 0.5947 data_time: 0.0213 memory: 17350 grad_norm: 5.6588 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8147 loss: 1.8147 2022/07/23 00:10:52 - mmengine - INFO - Epoch(train) [32][3680/3757] lr: 1.0000e-02 eta: 1 day, 23:06:53 time: 0.7340 data_time: 0.0241 memory: 17350 grad_norm: 5.3836 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9138 loss: 1.9138 2022/07/23 00:11:04 - mmengine - INFO - Epoch(train) [32][3700/3757] lr: 1.0000e-02 eta: 1 day, 23:06:37 time: 0.6010 data_time: 0.0238 memory: 17350 grad_norm: 5.4807 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8091 loss: 1.8091 2022/07/23 00:11:20 - mmengine - INFO - Epoch(train) [32][3720/3757] lr: 1.0000e-02 eta: 1 day, 23:06:29 time: 0.7671 data_time: 0.0217 memory: 17350 grad_norm: 5.4816 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1303 loss: 2.1303 2022/07/23 00:11:32 - mmengine - INFO - Epoch(train) [32][3740/3757] lr: 1.0000e-02 eta: 1 day, 23:06:13 time: 0.6086 data_time: 0.0231 memory: 17350 grad_norm: 5.5166 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0476 loss: 2.0476 2022/07/23 00:11:41 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 00:11:41 - mmengine - INFO - Epoch(train) [32][3757/3757] lr: 1.0000e-02 eta: 1 day, 23:06:13 time: 0.5164 data_time: 0.0230 memory: 17350 grad_norm: 5.5577 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.6974 loss: 1.6974 2022/07/23 00:11:58 - mmengine - INFO - Epoch(val) [32][20/310] eta: 0:04:03 time: 0.8386 data_time: 0.7248 memory: 3406 2022/07/23 00:12:09 - mmengine - INFO - Epoch(val) [32][40/310] eta: 0:02:29 time: 0.5533 data_time: 0.4359 memory: 3406 2022/07/23 00:12:25 - mmengine - INFO - Epoch(val) [32][60/310] eta: 0:03:18 time: 0.7950 data_time: 0.6798 memory: 3406 2022/07/23 00:12:36 - mmengine - INFO - Epoch(val) [32][80/310] eta: 0:02:11 time: 0.5725 data_time: 0.4602 memory: 3406 2022/07/23 00:12:52 - mmengine - INFO - Epoch(val) [32][100/310] eta: 0:02:41 time: 0.7690 data_time: 0.6469 memory: 3406 2022/07/23 00:13:04 - mmengine - INFO - Epoch(val) [32][120/310] eta: 0:01:53 time: 0.5990 data_time: 0.4863 memory: 3406 2022/07/23 00:13:19 - mmengine - INFO - Epoch(val) [32][140/310] eta: 0:02:07 time: 0.7525 data_time: 0.6380 memory: 3406 2022/07/23 00:13:30 - mmengine - INFO - Epoch(val) [32][160/310] eta: 0:01:22 time: 0.5479 data_time: 0.4353 memory: 3406 2022/07/23 00:13:45 - mmengine - INFO - Epoch(val) [32][180/310] eta: 0:01:37 time: 0.7485 data_time: 0.6302 memory: 3406 2022/07/23 00:13:55 - mmengine - INFO - Epoch(val) [32][200/310] eta: 0:00:58 time: 0.5311 data_time: 0.4180 memory: 3406 2022/07/23 00:14:11 - mmengine - INFO - Epoch(val) [32][220/310] eta: 0:01:10 time: 0.7865 data_time: 0.6706 memory: 3406 2022/07/23 00:14:22 - mmengine - INFO - Epoch(val) [32][240/310] eta: 0:00:38 time: 0.5486 data_time: 0.4357 memory: 3406 2022/07/23 00:14:38 - mmengine - INFO - Epoch(val) [32][260/310] eta: 0:00:39 time: 0.7993 data_time: 0.6855 memory: 3406 2022/07/23 00:14:49 - mmengine - INFO - Epoch(val) [32][280/310] eta: 0:00:16 time: 0.5517 data_time: 0.4392 memory: 3406 2022/07/23 00:15:04 - mmengine - INFO - Epoch(val) [32][300/310] eta: 0:00:07 time: 0.7476 data_time: 0.6343 memory: 3406 2022/07/23 00:15:08 - mmengine - INFO - Epoch(val) [32][310/310] acc/top1: 0.5871 acc/top5: 0.8192 acc/mean1: 0.5871 2022/07/23 00:15:26 - mmengine - INFO - Epoch(train) [33][20/3757] lr: 1.0000e-02 eta: 1 day, 23:05:35 time: 0.9110 data_time: 0.5578 memory: 17350 grad_norm: 5.4776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9593 loss: 1.9593 2022/07/23 00:15:38 - mmengine - INFO - Epoch(train) [33][40/3757] lr: 1.0000e-02 eta: 1 day, 23:05:19 time: 0.6119 data_time: 0.1849 memory: 17350 grad_norm: 5.6498 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0411 loss: 2.0411 2022/07/23 00:15:53 - mmengine - INFO - Epoch(train) [33][60/3757] lr: 1.0000e-02 eta: 1 day, 23:05:09 time: 0.7305 data_time: 0.1756 memory: 17350 grad_norm: 5.5388 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6430 loss: 1.6430 2022/07/23 00:16:05 - mmengine - INFO - Epoch(train) [33][80/3757] lr: 1.0000e-02 eta: 1 day, 23:04:54 time: 0.6273 data_time: 0.1058 memory: 17350 grad_norm: 5.4377 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4259 loss: 1.4259 2022/07/23 00:16:20 - mmengine - INFO - Epoch(train) [33][100/3757] lr: 1.0000e-02 eta: 1 day, 23:04:44 time: 0.7278 data_time: 0.1049 memory: 17350 grad_norm: 5.4207 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7704 loss: 1.7704 2022/07/23 00:16:31 - mmengine - INFO - Epoch(train) [33][120/3757] lr: 1.0000e-02 eta: 1 day, 23:04:27 time: 0.5763 data_time: 0.0902 memory: 17350 grad_norm: 5.5527 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8189 loss: 1.8189 2022/07/23 00:16:47 - mmengine - INFO - Epoch(train) [33][140/3757] lr: 1.0000e-02 eta: 1 day, 23:04:18 time: 0.7690 data_time: 0.2334 memory: 17350 grad_norm: 5.5865 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8196 loss: 1.8196 2022/07/23 00:16:59 - mmengine - INFO - Epoch(train) [33][160/3757] lr: 1.0000e-02 eta: 1 day, 23:04:02 time: 0.6107 data_time: 0.0873 memory: 17350 grad_norm: 5.6630 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9906 loss: 1.9906 2022/07/23 00:17:13 - mmengine - INFO - Epoch(train) [33][180/3757] lr: 1.0000e-02 eta: 1 day, 23:03:50 time: 0.6980 data_time: 0.0718 memory: 17350 grad_norm: 5.4426 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9087 loss: 1.9087 2022/07/23 00:17:26 - mmengine - INFO - Epoch(train) [33][200/3757] lr: 1.0000e-02 eta: 1 day, 23:03:36 time: 0.6425 data_time: 0.0268 memory: 17350 grad_norm: 5.6951 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6772 loss: 1.6772 2022/07/23 00:17:41 - mmengine - INFO - Epoch(train) [33][220/3757] lr: 1.0000e-02 eta: 1 day, 23:03:27 time: 0.7486 data_time: 0.1306 memory: 17350 grad_norm: 5.4466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0003 loss: 2.0003 2022/07/23 00:17:53 - mmengine - INFO - Epoch(train) [33][240/3757] lr: 1.0000e-02 eta: 1 day, 23:03:11 time: 0.6103 data_time: 0.0484 memory: 17350 grad_norm: 5.4037 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7810 loss: 1.7810 2022/07/23 00:18:08 - mmengine - INFO - Epoch(train) [33][260/3757] lr: 1.0000e-02 eta: 1 day, 23:03:01 time: 0.7371 data_time: 0.2059 memory: 17350 grad_norm: 5.4442 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9685 loss: 1.9685 2022/07/23 00:18:19 - mmengine - INFO - Epoch(train) [33][280/3757] lr: 1.0000e-02 eta: 1 day, 23:02:44 time: 0.5725 data_time: 0.1357 memory: 17350 grad_norm: 5.3346 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1511 loss: 2.1511 2022/07/23 00:18:34 - mmengine - INFO - Epoch(train) [33][300/3757] lr: 1.0000e-02 eta: 1 day, 23:02:33 time: 0.7326 data_time: 0.1657 memory: 17350 grad_norm: 5.4779 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.6270 loss: 1.6270 2022/07/23 00:18:46 - mmengine - INFO - Epoch(train) [33][320/3757] lr: 1.0000e-02 eta: 1 day, 23:02:17 time: 0.5928 data_time: 0.0454 memory: 17350 grad_norm: 5.5700 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0619 loss: 2.0619 2022/07/23 00:18:59 - mmengine - INFO - Epoch(train) [33][340/3757] lr: 1.0000e-02 eta: 1 day, 23:02:05 time: 0.6825 data_time: 0.0433 memory: 17350 grad_norm: 5.3862 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6273 loss: 1.6273 2022/07/23 00:19:11 - mmengine - INFO - Epoch(train) [33][360/3757] lr: 1.0000e-02 eta: 1 day, 23:01:48 time: 0.5859 data_time: 0.0263 memory: 17350 grad_norm: 5.6722 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7159 loss: 1.7159 2022/07/23 00:19:26 - mmengine - INFO - Epoch(train) [33][380/3757] lr: 1.0000e-02 eta: 1 day, 23:01:38 time: 0.7338 data_time: 0.0234 memory: 17350 grad_norm: 5.4357 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1172 loss: 2.1172 2022/07/23 00:19:38 - mmengine - INFO - Epoch(train) [33][400/3757] lr: 1.0000e-02 eta: 1 day, 23:01:21 time: 0.5864 data_time: 0.0215 memory: 17350 grad_norm: 5.5990 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3916 loss: 1.3916 2022/07/23 00:19:53 - mmengine - INFO - Epoch(train) [33][420/3757] lr: 1.0000e-02 eta: 1 day, 23:01:11 time: 0.7461 data_time: 0.0219 memory: 17350 grad_norm: 5.4896 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8903 loss: 1.8903 2022/07/23 00:20:06 - mmengine - INFO - Epoch(train) [33][440/3757] lr: 1.0000e-02 eta: 1 day, 23:00:58 time: 0.6627 data_time: 0.0234 memory: 17350 grad_norm: 5.4178 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7146 loss: 1.7146 2022/07/23 00:20:21 - mmengine - INFO - Epoch(train) [33][460/3757] lr: 1.0000e-02 eta: 1 day, 23:00:50 time: 0.7763 data_time: 0.0237 memory: 17350 grad_norm: 5.3861 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7721 loss: 1.7721 2022/07/23 00:20:33 - mmengine - INFO - Epoch(train) [33][480/3757] lr: 1.0000e-02 eta: 1 day, 23:00:33 time: 0.5809 data_time: 0.0219 memory: 17350 grad_norm: 5.5364 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0793 loss: 2.0793 2022/07/23 00:20:47 - mmengine - INFO - Epoch(train) [33][500/3757] lr: 1.0000e-02 eta: 1 day, 23:00:21 time: 0.6925 data_time: 0.0216 memory: 17350 grad_norm: 5.4107 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5790 loss: 1.5790 2022/07/23 00:20:59 - mmengine - INFO - Epoch(train) [33][520/3757] lr: 1.0000e-02 eta: 1 day, 23:00:05 time: 0.6114 data_time: 0.0232 memory: 17350 grad_norm: 5.2983 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6536 loss: 1.6536 2022/07/23 00:21:14 - mmengine - INFO - Epoch(train) [33][540/3757] lr: 1.0000e-02 eta: 1 day, 22:59:55 time: 0.7303 data_time: 0.0228 memory: 17350 grad_norm: 5.4888 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6894 loss: 1.6894 2022/07/23 00:21:25 - mmengine - INFO - Epoch(train) [33][560/3757] lr: 1.0000e-02 eta: 1 day, 22:59:38 time: 0.5806 data_time: 0.0240 memory: 17350 grad_norm: 5.7609 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0197 loss: 2.0197 2022/07/23 00:21:41 - mmengine - INFO - Epoch(train) [33][580/3757] lr: 1.0000e-02 eta: 1 day, 22:59:29 time: 0.7652 data_time: 0.0238 memory: 17350 grad_norm: 5.7022 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9097 loss: 1.9097 2022/07/23 00:21:52 - mmengine - INFO - Epoch(train) [33][600/3757] lr: 1.0000e-02 eta: 1 day, 22:59:12 time: 0.5805 data_time: 0.0216 memory: 17350 grad_norm: 5.5622 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9726 loss: 1.9726 2022/07/23 00:22:07 - mmengine - INFO - Epoch(train) [33][620/3757] lr: 1.0000e-02 eta: 1 day, 22:59:02 time: 0.7377 data_time: 0.0228 memory: 17350 grad_norm: 5.5952 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0531 loss: 2.0531 2022/07/23 00:22:19 - mmengine - INFO - Epoch(train) [33][640/3757] lr: 1.0000e-02 eta: 1 day, 22:58:46 time: 0.5950 data_time: 0.0220 memory: 17350 grad_norm: 5.5288 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9221 loss: 1.9221 2022/07/23 00:22:33 - mmengine - INFO - Epoch(train) [33][660/3757] lr: 1.0000e-02 eta: 1 day, 22:58:35 time: 0.7052 data_time: 0.0200 memory: 17350 grad_norm: 5.6112 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9607 loss: 1.9607 2022/07/23 00:22:46 - mmengine - INFO - Epoch(train) [33][680/3757] lr: 1.0000e-02 eta: 1 day, 22:58:21 time: 0.6602 data_time: 0.0240 memory: 17350 grad_norm: 5.5543 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9445 loss: 1.9445 2022/07/23 00:22:59 - mmengine - INFO - Epoch(train) [33][700/3757] lr: 1.0000e-02 eta: 1 day, 22:58:08 time: 0.6619 data_time: 0.0225 memory: 17350 grad_norm: 5.6008 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8592 loss: 1.8592 2022/07/23 00:23:12 - mmengine - INFO - Epoch(train) [33][720/3757] lr: 1.0000e-02 eta: 1 day, 22:57:53 time: 0.6396 data_time: 0.0143 memory: 17350 grad_norm: 5.5540 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8807 loss: 1.8807 2022/07/23 00:23:28 - mmengine - INFO - Epoch(train) [33][740/3757] lr: 1.0000e-02 eta: 1 day, 22:57:45 time: 0.7675 data_time: 0.0212 memory: 17350 grad_norm: 5.5486 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0871 loss: 2.0871 2022/07/23 00:23:39 - mmengine - INFO - Epoch(train) [33][760/3757] lr: 1.0000e-02 eta: 1 day, 22:57:27 time: 0.5563 data_time: 0.0220 memory: 17350 grad_norm: 5.5891 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8094 loss: 1.8094 2022/07/23 00:23:49 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 00:23:52 - mmengine - INFO - Epoch(train) [33][780/3757] lr: 1.0000e-02 eta: 1 day, 22:57:14 time: 0.6842 data_time: 0.0232 memory: 17350 grad_norm: 5.4461 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6915 loss: 1.6915 2022/07/23 00:24:05 - mmengine - INFO - Epoch(train) [33][800/3757] lr: 1.0000e-02 eta: 1 day, 22:57:00 time: 0.6343 data_time: 0.0195 memory: 17350 grad_norm: 5.5067 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7700 loss: 1.7700 2022/07/23 00:24:19 - mmengine - INFO - Epoch(train) [33][820/3757] lr: 1.0000e-02 eta: 1 day, 22:56:48 time: 0.7030 data_time: 0.0233 memory: 17350 grad_norm: 5.4840 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8500 loss: 1.8500 2022/07/23 00:24:31 - mmengine - INFO - Epoch(train) [33][840/3757] lr: 1.0000e-02 eta: 1 day, 22:56:33 time: 0.6102 data_time: 0.0228 memory: 17350 grad_norm: 5.3289 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9186 loss: 1.9186 2022/07/23 00:24:46 - mmengine - INFO - Epoch(train) [33][860/3757] lr: 1.0000e-02 eta: 1 day, 22:56:21 time: 0.7054 data_time: 0.0254 memory: 17350 grad_norm: 5.2901 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8186 loss: 1.8186 2022/07/23 00:24:58 - mmengine - INFO - Epoch(train) [33][880/3757] lr: 1.0000e-02 eta: 1 day, 22:56:06 time: 0.6210 data_time: 0.0224 memory: 17350 grad_norm: 5.5821 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8707 loss: 1.8707 2022/07/23 00:25:13 - mmengine - INFO - Epoch(train) [33][900/3757] lr: 1.0000e-02 eta: 1 day, 22:55:57 time: 0.7712 data_time: 0.0211 memory: 17350 grad_norm: 5.5149 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8110 loss: 1.8110 2022/07/23 00:25:25 - mmengine - INFO - Epoch(train) [33][920/3757] lr: 1.0000e-02 eta: 1 day, 22:55:41 time: 0.6001 data_time: 0.0254 memory: 17350 grad_norm: 5.5134 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6031 loss: 1.6031 2022/07/23 00:25:41 - mmengine - INFO - Epoch(train) [33][940/3757] lr: 1.0000e-02 eta: 1 day, 22:55:32 time: 0.7573 data_time: 0.0223 memory: 17350 grad_norm: 5.4910 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0903 loss: 2.0903 2022/07/23 00:25:52 - mmengine - INFO - Epoch(train) [33][960/3757] lr: 1.0000e-02 eta: 1 day, 22:55:15 time: 0.5821 data_time: 0.0216 memory: 17350 grad_norm: 5.4884 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8538 loss: 1.8538 2022/07/23 00:26:07 - mmengine - INFO - Epoch(train) [33][980/3757] lr: 1.0000e-02 eta: 1 day, 22:55:05 time: 0.7426 data_time: 0.0238 memory: 17350 grad_norm: 5.6999 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7240 loss: 1.7240 2022/07/23 00:26:19 - mmengine - INFO - Epoch(train) [33][1000/3757] lr: 1.0000e-02 eta: 1 day, 22:54:50 time: 0.6118 data_time: 0.0228 memory: 17350 grad_norm: 5.6153 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8660 loss: 1.8660 2022/07/23 00:26:34 - mmengine - INFO - Epoch(train) [33][1020/3757] lr: 1.0000e-02 eta: 1 day, 22:54:40 time: 0.7367 data_time: 0.0216 memory: 17350 grad_norm: 5.3900 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9753 loss: 1.9753 2022/07/23 00:26:46 - mmengine - INFO - Epoch(train) [33][1040/3757] lr: 1.0000e-02 eta: 1 day, 22:54:24 time: 0.5961 data_time: 0.0254 memory: 17350 grad_norm: 5.4280 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7234 loss: 1.7234 2022/07/23 00:27:01 - mmengine - INFO - Epoch(train) [33][1060/3757] lr: 1.0000e-02 eta: 1 day, 22:54:14 time: 0.7475 data_time: 0.0227 memory: 17350 grad_norm: 5.6959 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9081 loss: 1.9081 2022/07/23 00:27:13 - mmengine - INFO - Epoch(train) [33][1080/3757] lr: 1.0000e-02 eta: 1 day, 22:53:57 time: 0.5815 data_time: 0.0245 memory: 17350 grad_norm: 5.7561 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8325 loss: 1.8325 2022/07/23 00:27:27 - mmengine - INFO - Epoch(train) [33][1100/3757] lr: 1.0000e-02 eta: 1 day, 22:53:47 time: 0.7287 data_time: 0.0275 memory: 17350 grad_norm: 5.5282 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1977 loss: 2.1977 2022/07/23 00:27:39 - mmengine - INFO - Epoch(train) [33][1120/3757] lr: 1.0000e-02 eta: 1 day, 22:53:30 time: 0.5887 data_time: 0.0238 memory: 17350 grad_norm: 5.5959 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9067 loss: 1.9067 2022/07/23 00:27:53 - mmengine - INFO - Epoch(train) [33][1140/3757] lr: 1.0000e-02 eta: 1 day, 22:53:19 time: 0.7181 data_time: 0.0222 memory: 17350 grad_norm: 5.5011 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9735 loss: 1.9735 2022/07/23 00:28:05 - mmengine - INFO - Epoch(train) [33][1160/3757] lr: 1.0000e-02 eta: 1 day, 22:53:02 time: 0.5815 data_time: 0.0200 memory: 17350 grad_norm: 5.7300 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8456 loss: 1.8456 2022/07/23 00:28:20 - mmengine - INFO - Epoch(train) [33][1180/3757] lr: 1.0000e-02 eta: 1 day, 22:52:53 time: 0.7566 data_time: 0.0225 memory: 17350 grad_norm: 5.5765 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7401 loss: 1.7401 2022/07/23 00:28:32 - mmengine - INFO - Epoch(train) [33][1200/3757] lr: 1.0000e-02 eta: 1 day, 22:52:37 time: 0.5960 data_time: 0.0224 memory: 17350 grad_norm: 5.4077 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7383 loss: 1.7383 2022/07/23 00:28:46 - mmengine - INFO - Epoch(train) [33][1220/3757] lr: 1.0000e-02 eta: 1 day, 22:52:25 time: 0.6862 data_time: 0.0243 memory: 17350 grad_norm: 5.5246 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7823 loss: 1.7823 2022/07/23 00:28:59 - mmengine - INFO - Epoch(train) [33][1240/3757] lr: 1.0000e-02 eta: 1 day, 22:52:11 time: 0.6512 data_time: 0.0219 memory: 17350 grad_norm: 5.5386 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8068 loss: 1.8068 2022/07/23 00:29:12 - mmengine - INFO - Epoch(train) [33][1260/3757] lr: 1.0000e-02 eta: 1 day, 22:51:57 time: 0.6444 data_time: 0.0224 memory: 17350 grad_norm: 5.3977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9380 loss: 1.9380 2022/07/23 00:29:25 - mmengine - INFO - Epoch(train) [33][1280/3757] lr: 1.0000e-02 eta: 1 day, 22:51:43 time: 0.6429 data_time: 0.0239 memory: 17350 grad_norm: 5.4514 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9087 loss: 1.9087 2022/07/23 00:29:39 - mmengine - INFO - Epoch(train) [33][1300/3757] lr: 1.0000e-02 eta: 1 day, 22:51:31 time: 0.7142 data_time: 0.0242 memory: 17350 grad_norm: 5.5947 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6972 loss: 1.6972 2022/07/23 00:29:51 - mmengine - INFO - Epoch(train) [33][1320/3757] lr: 1.0000e-02 eta: 1 day, 22:51:17 time: 0.6282 data_time: 0.0241 memory: 17350 grad_norm: 5.3993 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6534 loss: 1.6534 2022/07/23 00:30:07 - mmengine - INFO - Epoch(train) [33][1340/3757] lr: 1.0000e-02 eta: 1 day, 22:51:07 time: 0.7571 data_time: 0.0244 memory: 17350 grad_norm: 5.3436 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7698 loss: 1.7698 2022/07/23 00:30:20 - mmengine - INFO - Epoch(train) [33][1360/3757] lr: 1.0000e-02 eta: 1 day, 22:50:54 time: 0.6651 data_time: 0.0243 memory: 17350 grad_norm: 5.6777 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6021 loss: 1.6021 2022/07/23 00:30:33 - mmengine - INFO - Epoch(train) [33][1380/3757] lr: 1.0000e-02 eta: 1 day, 22:50:41 time: 0.6613 data_time: 0.0216 memory: 17350 grad_norm: 5.4108 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7943 loss: 1.7943 2022/07/23 00:30:47 - mmengine - INFO - Epoch(train) [33][1400/3757] lr: 1.0000e-02 eta: 1 day, 22:50:28 time: 0.6767 data_time: 0.0228 memory: 17350 grad_norm: 5.5928 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8419 loss: 1.8419 2022/07/23 00:31:00 - mmengine - INFO - Epoch(train) [33][1420/3757] lr: 1.0000e-02 eta: 1 day, 22:50:15 time: 0.6604 data_time: 0.0278 memory: 17350 grad_norm: 5.5462 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6633 loss: 1.6633 2022/07/23 00:31:12 - mmengine - INFO - Epoch(train) [33][1440/3757] lr: 1.0000e-02 eta: 1 day, 22:49:59 time: 0.6178 data_time: 0.0252 memory: 17350 grad_norm: 5.6438 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8216 loss: 1.8216 2022/07/23 00:31:26 - mmengine - INFO - Epoch(train) [33][1460/3757] lr: 1.0000e-02 eta: 1 day, 22:49:47 time: 0.6935 data_time: 0.0217 memory: 17350 grad_norm: 5.6188 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7287 loss: 1.7287 2022/07/23 00:31:39 - mmengine - INFO - Epoch(train) [33][1480/3757] lr: 1.0000e-02 eta: 1 day, 22:49:33 time: 0.6254 data_time: 0.0220 memory: 17350 grad_norm: 5.4902 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0775 loss: 2.0775 2022/07/23 00:31:53 - mmengine - INFO - Epoch(train) [33][1500/3757] lr: 1.0000e-02 eta: 1 day, 22:49:22 time: 0.7202 data_time: 0.0223 memory: 17350 grad_norm: 5.5247 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7776 loss: 1.7776 2022/07/23 00:32:05 - mmengine - INFO - Epoch(train) [33][1520/3757] lr: 1.0000e-02 eta: 1 day, 22:49:06 time: 0.6071 data_time: 0.0219 memory: 17350 grad_norm: 5.5679 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9820 loss: 1.9820 2022/07/23 00:32:20 - mmengine - INFO - Epoch(train) [33][1540/3757] lr: 1.0000e-02 eta: 1 day, 22:48:56 time: 0.7445 data_time: 0.0230 memory: 17350 grad_norm: 5.6080 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7017 loss: 1.7017 2022/07/23 00:32:32 - mmengine - INFO - Epoch(train) [33][1560/3757] lr: 1.0000e-02 eta: 1 day, 22:48:40 time: 0.5950 data_time: 0.0215 memory: 17350 grad_norm: 5.5679 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9686 loss: 1.9686 2022/07/23 00:32:47 - mmengine - INFO - Epoch(train) [33][1580/3757] lr: 1.0000e-02 eta: 1 day, 22:48:30 time: 0.7328 data_time: 0.0214 memory: 17350 grad_norm: 5.3637 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0829 loss: 2.0829 2022/07/23 00:32:58 - mmengine - INFO - Epoch(train) [33][1600/3757] lr: 1.0000e-02 eta: 1 day, 22:48:13 time: 0.5850 data_time: 0.0234 memory: 17350 grad_norm: 5.4826 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7990 loss: 1.7990 2022/07/23 00:33:13 - mmengine - INFO - Epoch(train) [33][1620/3757] lr: 1.0000e-02 eta: 1 day, 22:48:03 time: 0.7323 data_time: 0.0214 memory: 17350 grad_norm: 5.2961 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7853 loss: 1.7853 2022/07/23 00:33:25 - mmengine - INFO - Epoch(train) [33][1640/3757] lr: 1.0000e-02 eta: 1 day, 22:47:47 time: 0.6143 data_time: 0.0231 memory: 17350 grad_norm: 5.5604 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9467 loss: 1.9467 2022/07/23 00:33:40 - mmengine - INFO - Epoch(train) [33][1660/3757] lr: 1.0000e-02 eta: 1 day, 22:47:37 time: 0.7321 data_time: 0.0229 memory: 17350 grad_norm: 5.4386 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8536 loss: 1.8536 2022/07/23 00:33:52 - mmengine - INFO - Epoch(train) [33][1680/3757] lr: 1.0000e-02 eta: 1 day, 22:47:20 time: 0.5815 data_time: 0.0235 memory: 17350 grad_norm: 5.7801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1576 loss: 2.1576 2022/07/23 00:34:06 - mmengine - INFO - Epoch(train) [33][1700/3757] lr: 1.0000e-02 eta: 1 day, 22:47:09 time: 0.7145 data_time: 0.0222 memory: 17350 grad_norm: 5.5487 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6758 loss: 1.6758 2022/07/23 00:34:19 - mmengine - INFO - Epoch(train) [33][1720/3757] lr: 1.0000e-02 eta: 1 day, 22:46:56 time: 0.6713 data_time: 0.0229 memory: 17350 grad_norm: 5.3114 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8692 loss: 1.8692 2022/07/23 00:34:32 - mmengine - INFO - Epoch(train) [33][1740/3757] lr: 1.0000e-02 eta: 1 day, 22:46:41 time: 0.6302 data_time: 0.0228 memory: 17350 grad_norm: 5.4224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8850 loss: 1.8850 2022/07/23 00:34:47 - mmengine - INFO - Epoch(train) [33][1760/3757] lr: 1.0000e-02 eta: 1 day, 22:46:32 time: 0.7474 data_time: 0.0221 memory: 17350 grad_norm: 5.4469 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8984 loss: 1.8984 2022/07/23 00:34:57 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 00:34:58 - mmengine - INFO - Epoch(train) [33][1780/3757] lr: 1.0000e-02 eta: 1 day, 22:46:14 time: 0.5547 data_time: 0.0242 memory: 17350 grad_norm: 5.4483 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8369 loss: 1.8369 2022/07/23 00:35:13 - mmengine - INFO - Epoch(train) [33][1800/3757] lr: 1.0000e-02 eta: 1 day, 22:46:04 time: 0.7557 data_time: 0.0362 memory: 17350 grad_norm: 5.4712 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9126 loss: 1.9126 2022/07/23 00:35:25 - mmengine - INFO - Epoch(train) [33][1820/3757] lr: 1.0000e-02 eta: 1 day, 22:45:48 time: 0.5991 data_time: 0.0251 memory: 17350 grad_norm: 5.5445 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0913 loss: 2.0913 2022/07/23 00:35:39 - mmengine - INFO - Epoch(train) [33][1840/3757] lr: 1.0000e-02 eta: 1 day, 22:45:37 time: 0.7179 data_time: 0.0224 memory: 17350 grad_norm: 5.6553 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7611 loss: 1.7611 2022/07/23 00:35:52 - mmengine - INFO - Epoch(train) [33][1860/3757] lr: 1.0000e-02 eta: 1 day, 22:45:22 time: 0.6141 data_time: 0.0226 memory: 17350 grad_norm: 5.6373 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9285 loss: 1.9285 2022/07/23 00:36:07 - mmengine - INFO - Epoch(train) [33][1880/3757] lr: 1.0000e-02 eta: 1 day, 22:45:12 time: 0.7467 data_time: 0.0220 memory: 17350 grad_norm: 5.5966 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7081 loss: 1.7081 2022/07/23 00:36:18 - mmengine - INFO - Epoch(train) [33][1900/3757] lr: 1.0000e-02 eta: 1 day, 22:44:55 time: 0.5763 data_time: 0.0231 memory: 17350 grad_norm: 5.3521 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8689 loss: 1.8689 2022/07/23 00:36:33 - mmengine - INFO - Epoch(train) [33][1920/3757] lr: 1.0000e-02 eta: 1 day, 22:44:45 time: 0.7272 data_time: 0.0217 memory: 17350 grad_norm: 5.5214 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8608 loss: 1.8608 2022/07/23 00:36:45 - mmengine - INFO - Epoch(train) [33][1940/3757] lr: 1.0000e-02 eta: 1 day, 22:44:30 time: 0.6322 data_time: 0.0256 memory: 17350 grad_norm: 5.5890 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8351 loss: 1.8351 2022/07/23 00:36:59 - mmengine - INFO - Epoch(train) [33][1960/3757] lr: 1.0000e-02 eta: 1 day, 22:44:17 time: 0.6762 data_time: 0.0234 memory: 17350 grad_norm: 5.5157 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6993 loss: 1.6993 2022/07/23 00:37:13 - mmengine - INFO - Epoch(train) [33][1980/3757] lr: 1.0000e-02 eta: 1 day, 22:44:05 time: 0.6810 data_time: 0.0397 memory: 17350 grad_norm: 5.7851 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0295 loss: 2.0295 2022/07/23 00:37:25 - mmengine - INFO - Epoch(train) [33][2000/3757] lr: 1.0000e-02 eta: 1 day, 22:43:50 time: 0.6350 data_time: 0.0220 memory: 17350 grad_norm: 5.2922 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0214 loss: 2.0214 2022/07/23 00:37:38 - mmengine - INFO - Epoch(train) [33][2020/3757] lr: 1.0000e-02 eta: 1 day, 22:43:37 time: 0.6521 data_time: 0.0237 memory: 17350 grad_norm: 5.5930 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9496 loss: 1.9496 2022/07/23 00:37:52 - mmengine - INFO - Epoch(train) [33][2040/3757] lr: 1.0000e-02 eta: 1 day, 22:43:24 time: 0.6912 data_time: 0.0247 memory: 17350 grad_norm: 5.4633 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8722 loss: 1.8722 2022/07/23 00:38:05 - mmengine - INFO - Epoch(train) [33][2060/3757] lr: 1.0000e-02 eta: 1 day, 22:43:11 time: 0.6502 data_time: 0.0215 memory: 17350 grad_norm: 5.5170 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9602 loss: 1.9602 2022/07/23 00:38:18 - mmengine - INFO - Epoch(train) [33][2080/3757] lr: 1.0000e-02 eta: 1 day, 22:42:57 time: 0.6591 data_time: 0.0234 memory: 17350 grad_norm: 5.5615 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7529 loss: 1.7529 2022/07/23 00:38:31 - mmengine - INFO - Epoch(train) [33][2100/3757] lr: 1.0000e-02 eta: 1 day, 22:42:43 time: 0.6530 data_time: 0.0216 memory: 17350 grad_norm: 5.5493 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9275 loss: 1.9275 2022/07/23 00:38:46 - mmengine - INFO - Epoch(train) [33][2120/3757] lr: 1.0000e-02 eta: 1 day, 22:42:32 time: 0.7053 data_time: 0.0244 memory: 17350 grad_norm: 5.5575 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6711 loss: 1.6711 2022/07/23 00:38:58 - mmengine - INFO - Epoch(train) [33][2140/3757] lr: 1.0000e-02 eta: 1 day, 22:42:17 time: 0.6363 data_time: 0.0221 memory: 17350 grad_norm: 5.2381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7798 loss: 1.7798 2022/07/23 00:39:12 - mmengine - INFO - Epoch(train) [33][2160/3757] lr: 1.0000e-02 eta: 1 day, 22:42:04 time: 0.6640 data_time: 0.0233 memory: 17350 grad_norm: 5.4303 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6805 loss: 1.6805 2022/07/23 00:39:25 - mmengine - INFO - Epoch(train) [33][2180/3757] lr: 1.0000e-02 eta: 1 day, 22:41:50 time: 0.6476 data_time: 0.0267 memory: 17350 grad_norm: 5.3635 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8304 loss: 1.8304 2022/07/23 00:39:39 - mmengine - INFO - Epoch(train) [33][2200/3757] lr: 1.0000e-02 eta: 1 day, 22:41:39 time: 0.7163 data_time: 0.0234 memory: 17350 grad_norm: 5.4982 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7420 loss: 1.7420 2022/07/23 00:39:51 - mmengine - INFO - Epoch(train) [33][2220/3757] lr: 1.0000e-02 eta: 1 day, 22:41:23 time: 0.5985 data_time: 0.0211 memory: 17350 grad_norm: 5.4885 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7099 loss: 1.7099 2022/07/23 00:40:06 - mmengine - INFO - Epoch(train) [33][2240/3757] lr: 1.0000e-02 eta: 1 day, 22:41:13 time: 0.7359 data_time: 0.0231 memory: 17350 grad_norm: 5.6541 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8059 loss: 1.8059 2022/07/23 00:40:18 - mmengine - INFO - Epoch(train) [33][2260/3757] lr: 1.0000e-02 eta: 1 day, 22:40:58 time: 0.6171 data_time: 0.0212 memory: 17350 grad_norm: 5.3056 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1781 loss: 2.1781 2022/07/23 00:40:33 - mmengine - INFO - Epoch(train) [33][2280/3757] lr: 1.0000e-02 eta: 1 day, 22:40:48 time: 0.7488 data_time: 0.0224 memory: 17350 grad_norm: 5.4328 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9011 loss: 1.9011 2022/07/23 00:40:44 - mmengine - INFO - Epoch(train) [33][2300/3757] lr: 1.0000e-02 eta: 1 day, 22:40:31 time: 0.5765 data_time: 0.0388 memory: 17350 grad_norm: 5.5834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8614 loss: 1.8614 2022/07/23 00:40:59 - mmengine - INFO - Epoch(train) [33][2320/3757] lr: 1.0000e-02 eta: 1 day, 22:40:20 time: 0.7194 data_time: 0.0226 memory: 17350 grad_norm: 5.5807 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0797 loss: 2.0797 2022/07/23 00:41:12 - mmengine - INFO - Epoch(train) [33][2340/3757] lr: 1.0000e-02 eta: 1 day, 22:40:06 time: 0.6542 data_time: 0.0386 memory: 17350 grad_norm: 5.6427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9850 loss: 1.9850 2022/07/23 00:41:25 - mmengine - INFO - Epoch(train) [33][2360/3757] lr: 1.0000e-02 eta: 1 day, 22:39:53 time: 0.6663 data_time: 0.0264 memory: 17350 grad_norm: 5.5615 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9447 loss: 1.9447 2022/07/23 00:41:38 - mmengine - INFO - Epoch(train) [33][2380/3757] lr: 1.0000e-02 eta: 1 day, 22:39:39 time: 0.6321 data_time: 0.1141 memory: 17350 grad_norm: 5.7005 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9167 loss: 1.9167 2022/07/23 00:41:52 - mmengine - INFO - Epoch(train) [33][2400/3757] lr: 1.0000e-02 eta: 1 day, 22:39:27 time: 0.6992 data_time: 0.0720 memory: 17350 grad_norm: 5.3633 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7245 loss: 1.7245 2022/07/23 00:42:04 - mmengine - INFO - Epoch(train) [33][2420/3757] lr: 1.0000e-02 eta: 1 day, 22:39:11 time: 0.6115 data_time: 0.0380 memory: 17350 grad_norm: 5.3440 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9518 loss: 1.9518 2022/07/23 00:42:19 - mmengine - INFO - Epoch(train) [33][2440/3757] lr: 1.0000e-02 eta: 1 day, 22:39:02 time: 0.7516 data_time: 0.0228 memory: 17350 grad_norm: 5.5082 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9031 loss: 1.9031 2022/07/23 00:42:31 - mmengine - INFO - Epoch(train) [33][2460/3757] lr: 1.0000e-02 eta: 1 day, 22:38:46 time: 0.5980 data_time: 0.0255 memory: 17350 grad_norm: 5.5904 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9356 loss: 1.9356 2022/07/23 00:42:46 - mmengine - INFO - Epoch(train) [33][2480/3757] lr: 1.0000e-02 eta: 1 day, 22:38:35 time: 0.7303 data_time: 0.0279 memory: 17350 grad_norm: 5.5647 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7260 loss: 1.7260 2022/07/23 00:42:58 - mmengine - INFO - Epoch(train) [33][2500/3757] lr: 1.0000e-02 eta: 1 day, 22:38:20 time: 0.6080 data_time: 0.0359 memory: 17350 grad_norm: 5.3736 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6520 loss: 1.6520 2022/07/23 00:43:12 - mmengine - INFO - Epoch(train) [33][2520/3757] lr: 1.0000e-02 eta: 1 day, 22:38:09 time: 0.7260 data_time: 0.1239 memory: 17350 grad_norm: 5.3768 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9754 loss: 1.9754 2022/07/23 00:43:25 - mmengine - INFO - Epoch(train) [33][2540/3757] lr: 1.0000e-02 eta: 1 day, 22:37:53 time: 0.6014 data_time: 0.0240 memory: 17350 grad_norm: 5.7083 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7642 loss: 1.7642 2022/07/23 00:43:40 - mmengine - INFO - Epoch(train) [33][2560/3757] lr: 1.0000e-02 eta: 1 day, 22:37:44 time: 0.7593 data_time: 0.0644 memory: 17350 grad_norm: 5.3316 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9492 loss: 1.9492 2022/07/23 00:43:52 - mmengine - INFO - Epoch(train) [33][2580/3757] lr: 1.0000e-02 eta: 1 day, 22:37:28 time: 0.6019 data_time: 0.0531 memory: 17350 grad_norm: 5.5560 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0309 loss: 2.0309 2022/07/23 00:44:06 - mmengine - INFO - Epoch(train) [33][2600/3757] lr: 1.0000e-02 eta: 1 day, 22:37:17 time: 0.7273 data_time: 0.0724 memory: 17350 grad_norm: 5.5557 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8496 loss: 1.8496 2022/07/23 00:44:18 - mmengine - INFO - Epoch(train) [33][2620/3757] lr: 1.0000e-02 eta: 1 day, 22:37:01 time: 0.5934 data_time: 0.0656 memory: 17350 grad_norm: 5.5610 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0072 loss: 2.0072 2022/07/23 00:44:33 - mmengine - INFO - Epoch(train) [33][2640/3757] lr: 1.0000e-02 eta: 1 day, 22:36:51 time: 0.7355 data_time: 0.0558 memory: 17350 grad_norm: 5.6334 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8493 loss: 1.8493 2022/07/23 00:44:45 - mmengine - INFO - Epoch(train) [33][2660/3757] lr: 1.0000e-02 eta: 1 day, 22:36:35 time: 0.6075 data_time: 0.0434 memory: 17350 grad_norm: 5.4679 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6302 loss: 1.6302 2022/07/23 00:44:59 - mmengine - INFO - Epoch(train) [33][2680/3757] lr: 1.0000e-02 eta: 1 day, 22:36:24 time: 0.7033 data_time: 0.0221 memory: 17350 grad_norm: 5.5440 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7416 loss: 1.7416 2022/07/23 00:45:11 - mmengine - INFO - Epoch(train) [33][2700/3757] lr: 1.0000e-02 eta: 1 day, 22:36:08 time: 0.6137 data_time: 0.0207 memory: 17350 grad_norm: 5.7959 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7462 loss: 1.7462 2022/07/23 00:45:27 - mmengine - INFO - Epoch(train) [33][2720/3757] lr: 1.0000e-02 eta: 1 day, 22:35:59 time: 0.7649 data_time: 0.0247 memory: 17350 grad_norm: 5.6020 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8326 loss: 1.8326 2022/07/23 00:45:38 - mmengine - INFO - Epoch(train) [33][2740/3757] lr: 1.0000e-02 eta: 1 day, 22:35:42 time: 0.5799 data_time: 0.0231 memory: 17350 grad_norm: 5.5957 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9068 loss: 1.9068 2022/07/23 00:45:53 - mmengine - INFO - Epoch(train) [33][2760/3757] lr: 1.0000e-02 eta: 1 day, 22:35:32 time: 0.7411 data_time: 0.0146 memory: 17350 grad_norm: 5.6159 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7556 loss: 1.7556 2022/07/23 00:46:04 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 00:46:05 - mmengine - INFO - Epoch(train) [33][2780/3757] lr: 1.0000e-02 eta: 1 day, 22:35:17 time: 0.6126 data_time: 0.0242 memory: 17350 grad_norm: 5.6718 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8780 loss: 1.8780 2022/07/23 00:46:21 - mmengine - INFO - Epoch(train) [33][2800/3757] lr: 1.0000e-02 eta: 1 day, 22:35:07 time: 0.7561 data_time: 0.0235 memory: 17350 grad_norm: 5.2890 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8191 loss: 1.8191 2022/07/23 00:46:32 - mmengine - INFO - Epoch(train) [33][2820/3757] lr: 1.0000e-02 eta: 1 day, 22:34:51 time: 0.5935 data_time: 0.0238 memory: 17350 grad_norm: 5.4319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9572 loss: 1.9572 2022/07/23 00:46:47 - mmengine - INFO - Epoch(train) [33][2840/3757] lr: 1.0000e-02 eta: 1 day, 22:34:40 time: 0.7153 data_time: 0.0232 memory: 17350 grad_norm: 5.4006 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7608 loss: 1.7608 2022/07/23 00:46:59 - mmengine - INFO - Epoch(train) [33][2860/3757] lr: 1.0000e-02 eta: 1 day, 22:34:25 time: 0.6219 data_time: 0.0235 memory: 17350 grad_norm: 5.5952 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8598 loss: 1.8598 2022/07/23 00:47:15 - mmengine - INFO - Epoch(train) [33][2880/3757] lr: 1.0000e-02 eta: 1 day, 22:34:16 time: 0.7739 data_time: 0.0220 memory: 17350 grad_norm: 5.6430 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8709 loss: 1.8709 2022/07/23 00:47:27 - mmengine - INFO - Epoch(train) [33][2900/3757] lr: 1.0000e-02 eta: 1 day, 22:34:02 time: 0.6243 data_time: 0.0247 memory: 17350 grad_norm: 5.6305 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9593 loss: 1.9593 2022/07/23 00:47:41 - mmengine - INFO - Epoch(train) [33][2920/3757] lr: 1.0000e-02 eta: 1 day, 22:33:50 time: 0.7098 data_time: 0.0207 memory: 17350 grad_norm: 5.4788 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5245 loss: 1.5245 2022/07/23 00:47:53 - mmengine - INFO - Epoch(train) [33][2940/3757] lr: 1.0000e-02 eta: 1 day, 22:33:33 time: 0.5715 data_time: 0.0248 memory: 17350 grad_norm: 5.4666 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8366 loss: 1.8366 2022/07/23 00:48:08 - mmengine - INFO - Epoch(train) [33][2960/3757] lr: 1.0000e-02 eta: 1 day, 22:33:24 time: 0.7559 data_time: 0.0221 memory: 17350 grad_norm: 5.2892 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9599 loss: 1.9599 2022/07/23 00:48:19 - mmengine - INFO - Epoch(train) [33][2980/3757] lr: 1.0000e-02 eta: 1 day, 22:33:07 time: 0.5752 data_time: 0.0245 memory: 17350 grad_norm: 5.4581 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5894 loss: 1.5894 2022/07/23 00:48:35 - mmengine - INFO - Epoch(train) [33][3000/3757] lr: 1.0000e-02 eta: 1 day, 22:32:58 time: 0.7657 data_time: 0.0222 memory: 17350 grad_norm: 5.5020 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7392 loss: 1.7392 2022/07/23 00:48:46 - mmengine - INFO - Epoch(train) [33][3020/3757] lr: 1.0000e-02 eta: 1 day, 22:32:41 time: 0.5805 data_time: 0.0249 memory: 17350 grad_norm: 5.3273 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0602 loss: 2.0602 2022/07/23 00:49:00 - mmengine - INFO - Epoch(train) [33][3040/3757] lr: 1.0000e-02 eta: 1 day, 22:32:29 time: 0.7000 data_time: 0.0270 memory: 17350 grad_norm: 5.4411 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9147 loss: 1.9147 2022/07/23 00:49:13 - mmengine - INFO - Epoch(train) [33][3060/3757] lr: 1.0000e-02 eta: 1 day, 22:32:14 time: 0.6086 data_time: 0.0217 memory: 17350 grad_norm: 5.7725 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7984 loss: 1.7984 2022/07/23 00:49:27 - mmengine - INFO - Epoch(train) [33][3080/3757] lr: 1.0000e-02 eta: 1 day, 22:32:04 time: 0.7428 data_time: 0.0237 memory: 17350 grad_norm: 5.4284 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7756 loss: 1.7756 2022/07/23 00:49:40 - mmengine - INFO - Epoch(train) [33][3100/3757] lr: 1.0000e-02 eta: 1 day, 22:31:49 time: 0.6213 data_time: 0.0240 memory: 17350 grad_norm: 5.7147 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7104 loss: 1.7104 2022/07/23 00:49:55 - mmengine - INFO - Epoch(train) [33][3120/3757] lr: 1.0000e-02 eta: 1 day, 22:31:38 time: 0.7312 data_time: 0.0227 memory: 17350 grad_norm: 5.3057 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7968 loss: 1.7968 2022/07/23 00:50:06 - mmengine - INFO - Epoch(train) [33][3140/3757] lr: 1.0000e-02 eta: 1 day, 22:31:22 time: 0.5913 data_time: 0.0247 memory: 17350 grad_norm: 5.5028 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9473 loss: 1.9473 2022/07/23 00:50:20 - mmengine - INFO - Epoch(train) [33][3160/3757] lr: 1.0000e-02 eta: 1 day, 22:31:10 time: 0.6959 data_time: 0.0230 memory: 17350 grad_norm: 5.5249 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6943 loss: 1.6943 2022/07/23 00:50:32 - mmengine - INFO - Epoch(train) [33][3180/3757] lr: 1.0000e-02 eta: 1 day, 22:30:54 time: 0.5960 data_time: 0.0209 memory: 17350 grad_norm: 5.6849 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8893 loss: 1.8893 2022/07/23 00:50:46 - mmengine - INFO - Epoch(train) [33][3200/3757] lr: 1.0000e-02 eta: 1 day, 22:30:42 time: 0.7090 data_time: 0.0209 memory: 17350 grad_norm: 5.3774 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4457 loss: 1.4457 2022/07/23 00:50:58 - mmengine - INFO - Epoch(train) [33][3220/3757] lr: 1.0000e-02 eta: 1 day, 22:30:26 time: 0.5949 data_time: 0.0251 memory: 17350 grad_norm: 5.5313 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7977 loss: 1.7977 2022/07/23 00:51:13 - mmengine - INFO - Epoch(train) [33][3240/3757] lr: 1.0000e-02 eta: 1 day, 22:30:16 time: 0.7343 data_time: 0.0221 memory: 17350 grad_norm: 5.5293 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6734 loss: 1.6734 2022/07/23 00:51:26 - mmengine - INFO - Epoch(train) [33][3260/3757] lr: 1.0000e-02 eta: 1 day, 22:30:02 time: 0.6366 data_time: 0.0225 memory: 17350 grad_norm: 5.4866 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6386 loss: 1.6386 2022/07/23 00:51:40 - mmengine - INFO - Epoch(train) [33][3280/3757] lr: 1.0000e-02 eta: 1 day, 22:29:51 time: 0.7274 data_time: 0.0237 memory: 17350 grad_norm: 5.6431 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8759 loss: 1.8759 2022/07/23 00:51:52 - mmengine - INFO - Epoch(train) [33][3300/3757] lr: 1.0000e-02 eta: 1 day, 22:29:34 time: 0.5805 data_time: 0.0230 memory: 17350 grad_norm: 5.3692 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0424 loss: 2.0424 2022/07/23 00:52:07 - mmengine - INFO - Epoch(train) [33][3320/3757] lr: 1.0000e-02 eta: 1 day, 22:29:24 time: 0.7448 data_time: 0.0317 memory: 17350 grad_norm: 5.2696 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4671 loss: 1.4671 2022/07/23 00:52:19 - mmengine - INFO - Epoch(train) [33][3340/3757] lr: 1.0000e-02 eta: 1 day, 22:29:08 time: 0.5881 data_time: 0.0660 memory: 17350 grad_norm: 5.5814 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7339 loss: 1.7339 2022/07/23 00:52:32 - mmengine - INFO - Epoch(train) [33][3360/3757] lr: 1.0000e-02 eta: 1 day, 22:28:56 time: 0.6944 data_time: 0.0990 memory: 17350 grad_norm: 5.6564 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9895 loss: 1.9895 2022/07/23 00:52:45 - mmengine - INFO - Epoch(train) [33][3380/3757] lr: 1.0000e-02 eta: 1 day, 22:28:40 time: 0.6077 data_time: 0.0432 memory: 17350 grad_norm: 5.8390 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0299 loss: 2.0299 2022/07/23 00:52:59 - mmengine - INFO - Epoch(train) [33][3400/3757] lr: 1.0000e-02 eta: 1 day, 22:28:30 time: 0.7329 data_time: 0.0530 memory: 17350 grad_norm: 5.6728 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8728 loss: 1.8728 2022/07/23 00:53:12 - mmengine - INFO - Epoch(train) [33][3420/3757] lr: 1.0000e-02 eta: 1 day, 22:28:16 time: 0.6441 data_time: 0.0254 memory: 17350 grad_norm: 5.6041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9489 loss: 1.9489 2022/07/23 00:53:26 - mmengine - INFO - Epoch(train) [33][3440/3757] lr: 1.0000e-02 eta: 1 day, 22:28:04 time: 0.6918 data_time: 0.0210 memory: 17350 grad_norm: 5.4888 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7948 loss: 1.7948 2022/07/23 00:53:39 - mmengine - INFO - Epoch(train) [33][3460/3757] lr: 1.0000e-02 eta: 1 day, 22:27:50 time: 0.6480 data_time: 0.0510 memory: 17350 grad_norm: 5.7104 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7828 loss: 1.7828 2022/07/23 00:53:53 - mmengine - INFO - Epoch(train) [33][3480/3757] lr: 1.0000e-02 eta: 1 day, 22:27:38 time: 0.6930 data_time: 0.0224 memory: 17350 grad_norm: 5.3514 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7621 loss: 1.7621 2022/07/23 00:54:05 - mmengine - INFO - Epoch(train) [33][3500/3757] lr: 1.0000e-02 eta: 1 day, 22:27:23 time: 0.6268 data_time: 0.0398 memory: 17350 grad_norm: 5.7896 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7350 loss: 1.7350 2022/07/23 00:54:20 - mmengine - INFO - Epoch(train) [33][3520/3757] lr: 1.0000e-02 eta: 1 day, 22:27:13 time: 0.7402 data_time: 0.0231 memory: 17350 grad_norm: 5.6534 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8862 loss: 1.8862 2022/07/23 00:54:33 - mmengine - INFO - Epoch(train) [33][3540/3757] lr: 1.0000e-02 eta: 1 day, 22:26:57 time: 0.6167 data_time: 0.0229 memory: 17350 grad_norm: 5.9077 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9143 loss: 1.9143 2022/07/23 00:54:46 - mmengine - INFO - Epoch(train) [33][3560/3757] lr: 1.0000e-02 eta: 1 day, 22:26:45 time: 0.6827 data_time: 0.0220 memory: 17350 grad_norm: 5.4401 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6786 loss: 1.6786 2022/07/23 00:54:59 - mmengine - INFO - Epoch(train) [33][3580/3757] lr: 1.0000e-02 eta: 1 day, 22:26:31 time: 0.6581 data_time: 0.0220 memory: 17350 grad_norm: 5.6712 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7701 loss: 1.7701 2022/07/23 00:55:14 - mmengine - INFO - Epoch(train) [33][3600/3757] lr: 1.0000e-02 eta: 1 day, 22:26:21 time: 0.7441 data_time: 0.1954 memory: 17350 grad_norm: 5.6116 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8684 loss: 1.8684 2022/07/23 00:55:27 - mmengine - INFO - Epoch(train) [33][3620/3757] lr: 1.0000e-02 eta: 1 day, 22:26:06 time: 0.6182 data_time: 0.1233 memory: 17350 grad_norm: 5.5334 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8708 loss: 1.8708 2022/07/23 00:55:41 - mmengine - INFO - Epoch(train) [33][3640/3757] lr: 1.0000e-02 eta: 1 day, 22:25:55 time: 0.7088 data_time: 0.0384 memory: 17350 grad_norm: 5.5620 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9946 loss: 1.9946 2022/07/23 00:55:54 - mmengine - INFO - Epoch(train) [33][3660/3757] lr: 1.0000e-02 eta: 1 day, 22:25:41 time: 0.6385 data_time: 0.0247 memory: 17350 grad_norm: 5.5592 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1056 loss: 2.1056 2022/07/23 00:56:07 - mmengine - INFO - Epoch(train) [33][3680/3757] lr: 1.0000e-02 eta: 1 day, 22:25:28 time: 0.6740 data_time: 0.0248 memory: 17350 grad_norm: 5.4338 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1989 loss: 2.1989 2022/07/23 00:56:21 - mmengine - INFO - Epoch(train) [33][3700/3757] lr: 1.0000e-02 eta: 1 day, 22:25:15 time: 0.6850 data_time: 0.0226 memory: 17350 grad_norm: 5.5338 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9207 loss: 1.9207 2022/07/23 00:56:34 - mmengine - INFO - Epoch(train) [33][3720/3757] lr: 1.0000e-02 eta: 1 day, 22:25:03 time: 0.6791 data_time: 0.0230 memory: 17350 grad_norm: 5.6352 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6947 loss: 1.6947 2022/07/23 00:56:47 - mmengine - INFO - Epoch(train) [33][3740/3757] lr: 1.0000e-02 eta: 1 day, 22:24:48 time: 0.6388 data_time: 0.0268 memory: 17350 grad_norm: 5.1685 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8105 loss: 1.8105 2022/07/23 00:56:55 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 00:56:55 - mmengine - INFO - Epoch(train) [33][3757/3757] lr: 1.0000e-02 eta: 1 day, 22:24:48 time: 0.4546 data_time: 0.0189 memory: 17350 grad_norm: 5.5600 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.9616 loss: 1.9616 2022/07/23 00:57:12 - mmengine - INFO - Epoch(val) [33][20/310] eta: 0:04:05 time: 0.8470 data_time: 0.7304 memory: 3406 2022/07/23 00:57:23 - mmengine - INFO - Epoch(val) [33][40/310] eta: 0:02:28 time: 0.5517 data_time: 0.4393 memory: 3406 2022/07/23 00:57:38 - mmengine - INFO - Epoch(val) [33][60/310] eta: 0:03:02 time: 0.7310 data_time: 0.6132 memory: 3406 2022/07/23 00:57:50 - mmengine - INFO - Epoch(val) [33][80/310] eta: 0:02:14 time: 0.5850 data_time: 0.4732 memory: 3406 2022/07/23 00:58:05 - mmengine - INFO - Epoch(val) [33][100/310] eta: 0:02:36 time: 0.7451 data_time: 0.6326 memory: 3406 2022/07/23 00:58:16 - mmengine - INFO - Epoch(val) [33][120/310] eta: 0:01:52 time: 0.5915 data_time: 0.4747 memory: 3406 2022/07/23 00:58:32 - mmengine - INFO - Epoch(val) [33][140/310] eta: 0:02:12 time: 0.7816 data_time: 0.6684 memory: 3406 2022/07/23 00:58:43 - mmengine - INFO - Epoch(val) [33][160/310] eta: 0:01:21 time: 0.5434 data_time: 0.4307 memory: 3406 2022/07/23 00:58:59 - mmengine - INFO - Epoch(val) [33][180/310] eta: 0:01:43 time: 0.7990 data_time: 0.6864 memory: 3406 2022/07/23 00:59:10 - mmengine - INFO - Epoch(val) [33][200/310] eta: 0:01:03 time: 0.5734 data_time: 0.4609 memory: 3406 2022/07/23 00:59:25 - mmengine - INFO - Epoch(val) [33][220/310] eta: 0:01:08 time: 0.7588 data_time: 0.6474 memory: 3406 2022/07/23 00:59:37 - mmengine - INFO - Epoch(val) [33][240/310] eta: 0:00:40 time: 0.5747 data_time: 0.4583 memory: 3406 2022/07/23 00:59:52 - mmengine - INFO - Epoch(val) [33][260/310] eta: 0:00:38 time: 0.7732 data_time: 0.6609 memory: 3406 2022/07/23 01:00:03 - mmengine - INFO - Epoch(val) [33][280/310] eta: 0:00:16 time: 0.5374 data_time: 0.4258 memory: 3406 2022/07/23 01:00:18 - mmengine - INFO - Epoch(val) [33][300/310] eta: 0:00:07 time: 0.7377 data_time: 0.6251 memory: 3406 2022/07/23 01:00:23 - mmengine - INFO - Epoch(val) [33][310/310] acc/top1: 0.5756 acc/top5: 0.8143 acc/mean1: 0.5756 2022/07/23 01:00:41 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 01:00:42 - mmengine - INFO - Epoch(train) [34][20/3757] lr: 1.0000e-02 eta: 1 day, 22:24:11 time: 0.9129 data_time: 0.3642 memory: 17350 grad_norm: 5.6263 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7062 loss: 1.7062 2022/07/23 01:00:54 - mmengine - INFO - Epoch(train) [34][40/3757] lr: 1.0000e-02 eta: 1 day, 22:23:56 time: 0.6295 data_time: 0.1644 memory: 17350 grad_norm: 5.4062 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8719 loss: 1.8719 2022/07/23 01:01:09 - mmengine - INFO - Epoch(train) [34][60/3757] lr: 1.0000e-02 eta: 1 day, 22:23:46 time: 0.7323 data_time: 0.1472 memory: 17350 grad_norm: 5.5300 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6500 loss: 1.6500 2022/07/23 01:01:21 - mmengine - INFO - Epoch(train) [34][80/3757] lr: 1.0000e-02 eta: 1 day, 22:23:30 time: 0.5997 data_time: 0.1016 memory: 17350 grad_norm: 5.4788 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8802 loss: 1.8802 2022/07/23 01:01:36 - mmengine - INFO - Epoch(train) [34][100/3757] lr: 1.0000e-02 eta: 1 day, 22:23:20 time: 0.7322 data_time: 0.1187 memory: 17350 grad_norm: 5.4286 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5519 loss: 1.5519 2022/07/23 01:01:48 - mmengine - INFO - Epoch(train) [34][120/3757] lr: 1.0000e-02 eta: 1 day, 22:23:04 time: 0.6043 data_time: 0.0980 memory: 17350 grad_norm: 5.4374 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7159 loss: 1.7159 2022/07/23 01:02:03 - mmengine - INFO - Epoch(train) [34][140/3757] lr: 1.0000e-02 eta: 1 day, 22:22:54 time: 0.7442 data_time: 0.0824 memory: 17350 grad_norm: 5.4937 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0836 loss: 2.0836 2022/07/23 01:02:15 - mmengine - INFO - Epoch(train) [34][160/3757] lr: 1.0000e-02 eta: 1 day, 22:22:39 time: 0.6213 data_time: 0.0725 memory: 17350 grad_norm: 5.4303 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2303 loss: 2.2303 2022/07/23 01:02:30 - mmengine - INFO - Epoch(train) [34][180/3757] lr: 1.0000e-02 eta: 1 day, 22:22:29 time: 0.7412 data_time: 0.0444 memory: 17350 grad_norm: 5.3356 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7693 loss: 1.7693 2022/07/23 01:02:42 - mmengine - INFO - Epoch(train) [34][200/3757] lr: 1.0000e-02 eta: 1 day, 22:22:12 time: 0.5835 data_time: 0.0324 memory: 17350 grad_norm: 5.5924 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8517 loss: 1.8517 2022/07/23 01:02:56 - mmengine - INFO - Epoch(train) [34][220/3757] lr: 1.0000e-02 eta: 1 day, 22:22:01 time: 0.7197 data_time: 0.0219 memory: 17350 grad_norm: 5.4896 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7145 loss: 1.7145 2022/07/23 01:03:08 - mmengine - INFO - Epoch(train) [34][240/3757] lr: 1.0000e-02 eta: 1 day, 22:21:46 time: 0.6127 data_time: 0.0243 memory: 17350 grad_norm: 5.4239 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7082 loss: 1.7082 2022/07/23 01:03:23 - mmengine - INFO - Epoch(train) [34][260/3757] lr: 1.0000e-02 eta: 1 day, 22:21:36 time: 0.7500 data_time: 0.0732 memory: 17350 grad_norm: 5.5331 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9081 loss: 1.9081 2022/07/23 01:03:35 - mmengine - INFO - Epoch(train) [34][280/3757] lr: 1.0000e-02 eta: 1 day, 22:21:21 time: 0.6090 data_time: 0.0557 memory: 17350 grad_norm: 5.4298 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7388 loss: 1.7388 2022/07/23 01:03:50 - mmengine - INFO - Epoch(train) [34][300/3757] lr: 1.0000e-02 eta: 1 day, 22:21:11 time: 0.7527 data_time: 0.0561 memory: 17350 grad_norm: 5.6059 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5739 loss: 1.5739 2022/07/23 01:04:03 - mmengine - INFO - Epoch(train) [34][320/3757] lr: 1.0000e-02 eta: 1 day, 22:20:55 time: 0.6045 data_time: 0.1101 memory: 17350 grad_norm: 5.5285 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5989 loss: 1.5989 2022/07/23 01:04:18 - mmengine - INFO - Epoch(train) [34][340/3757] lr: 1.0000e-02 eta: 1 day, 22:20:46 time: 0.7549 data_time: 0.1393 memory: 17350 grad_norm: 5.4503 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7182 loss: 1.7182 2022/07/23 01:04:30 - mmengine - INFO - Epoch(train) [34][360/3757] lr: 1.0000e-02 eta: 1 day, 22:20:30 time: 0.5978 data_time: 0.1190 memory: 17350 grad_norm: 5.5275 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8208 loss: 1.8208 2022/07/23 01:04:44 - mmengine - INFO - Epoch(train) [34][380/3757] lr: 1.0000e-02 eta: 1 day, 22:20:19 time: 0.7325 data_time: 0.1453 memory: 17350 grad_norm: 5.5441 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4921 loss: 1.4921 2022/07/23 01:04:57 - mmengine - INFO - Epoch(train) [34][400/3757] lr: 1.0000e-02 eta: 1 day, 22:20:04 time: 0.6265 data_time: 0.0721 memory: 17350 grad_norm: 5.6829 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0103 loss: 2.0103 2022/07/23 01:05:11 - mmengine - INFO - Epoch(train) [34][420/3757] lr: 1.0000e-02 eta: 1 day, 22:19:54 time: 0.7275 data_time: 0.0926 memory: 17350 grad_norm: 5.3937 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9639 loss: 1.9639 2022/07/23 01:05:23 - mmengine - INFO - Epoch(train) [34][440/3757] lr: 1.0000e-02 eta: 1 day, 22:19:37 time: 0.5840 data_time: 0.0904 memory: 17350 grad_norm: 5.5998 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7071 loss: 1.7071 2022/07/23 01:05:38 - mmengine - INFO - Epoch(train) [34][460/3757] lr: 1.0000e-02 eta: 1 day, 22:19:27 time: 0.7300 data_time: 0.1879 memory: 17350 grad_norm: 5.4627 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9375 loss: 1.9375 2022/07/23 01:05:49 - mmengine - INFO - Epoch(train) [34][480/3757] lr: 1.0000e-02 eta: 1 day, 22:19:10 time: 0.5687 data_time: 0.1212 memory: 17350 grad_norm: 5.4787 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7908 loss: 1.7908 2022/07/23 01:06:04 - mmengine - INFO - Epoch(train) [34][500/3757] lr: 1.0000e-02 eta: 1 day, 22:18:59 time: 0.7275 data_time: 0.2357 memory: 17350 grad_norm: 5.4540 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9979 loss: 1.9979 2022/07/23 01:06:16 - mmengine - INFO - Epoch(train) [34][520/3757] lr: 1.0000e-02 eta: 1 day, 22:18:44 time: 0.6199 data_time: 0.2150 memory: 17350 grad_norm: 5.4838 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5126 loss: 1.5126 2022/07/23 01:06:30 - mmengine - INFO - Epoch(train) [34][540/3757] lr: 1.0000e-02 eta: 1 day, 22:18:32 time: 0.7089 data_time: 0.1875 memory: 17350 grad_norm: 5.5570 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7753 loss: 1.7753 2022/07/23 01:06:42 - mmengine - INFO - Epoch(train) [34][560/3757] lr: 1.0000e-02 eta: 1 day, 22:18:17 time: 0.6078 data_time: 0.1643 memory: 17350 grad_norm: 5.5978 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8876 loss: 1.8876 2022/07/23 01:06:57 - mmengine - INFO - Epoch(train) [34][580/3757] lr: 1.0000e-02 eta: 1 day, 22:18:05 time: 0.7095 data_time: 0.2559 memory: 17350 grad_norm: 5.6098 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9431 loss: 1.9431 2022/07/23 01:07:08 - mmengine - INFO - Epoch(train) [34][600/3757] lr: 1.0000e-02 eta: 1 day, 22:17:49 time: 0.5845 data_time: 0.2509 memory: 17350 grad_norm: 5.3697 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7273 loss: 1.7273 2022/07/23 01:07:23 - mmengine - INFO - Epoch(train) [34][620/3757] lr: 1.0000e-02 eta: 1 day, 22:17:39 time: 0.7446 data_time: 0.3812 memory: 17350 grad_norm: 5.4962 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8983 loss: 1.8983 2022/07/23 01:07:36 - mmengine - INFO - Epoch(train) [34][640/3757] lr: 1.0000e-02 eta: 1 day, 22:17:25 time: 0.6376 data_time: 0.2128 memory: 17350 grad_norm: 5.3726 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0298 loss: 2.0298 2022/07/23 01:07:50 - mmengine - INFO - Epoch(train) [34][660/3757] lr: 1.0000e-02 eta: 1 day, 22:17:13 time: 0.7154 data_time: 0.3082 memory: 17350 grad_norm: 5.5435 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7694 loss: 1.7694 2022/07/23 01:08:03 - mmengine - INFO - Epoch(train) [34][680/3757] lr: 1.0000e-02 eta: 1 day, 22:16:59 time: 0.6295 data_time: 0.2372 memory: 17350 grad_norm: 5.5399 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7516 loss: 1.7516 2022/07/23 01:08:18 - mmengine - INFO - Epoch(train) [34][700/3757] lr: 1.0000e-02 eta: 1 day, 22:16:49 time: 0.7633 data_time: 0.4269 memory: 17350 grad_norm: 5.6942 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8800 loss: 1.8800 2022/07/23 01:08:29 - mmengine - INFO - Epoch(train) [34][720/3757] lr: 1.0000e-02 eta: 1 day, 22:16:32 time: 0.5644 data_time: 0.2320 memory: 17350 grad_norm: 5.5058 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6019 loss: 1.6019 2022/07/23 01:08:45 - mmengine - INFO - Epoch(train) [34][740/3757] lr: 1.0000e-02 eta: 1 day, 22:16:23 time: 0.7596 data_time: 0.4128 memory: 17350 grad_norm: 5.3560 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8553 loss: 1.8553 2022/07/23 01:08:57 - mmengine - INFO - Epoch(train) [34][760/3757] lr: 1.0000e-02 eta: 1 day, 22:16:07 time: 0.6072 data_time: 0.2733 memory: 17350 grad_norm: 5.3412 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8240 loss: 1.8240 2022/07/23 01:09:11 - mmengine - INFO - Epoch(train) [34][780/3757] lr: 1.0000e-02 eta: 1 day, 22:15:55 time: 0.6984 data_time: 0.3664 memory: 17350 grad_norm: 5.5624 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0239 loss: 2.0239 2022/07/23 01:09:23 - mmengine - INFO - Epoch(train) [34][800/3757] lr: 1.0000e-02 eta: 1 day, 22:15:40 time: 0.6192 data_time: 0.2851 memory: 17350 grad_norm: 5.6262 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8761 loss: 1.8761 2022/07/23 01:09:38 - mmengine - INFO - Epoch(train) [34][820/3757] lr: 1.0000e-02 eta: 1 day, 22:15:30 time: 0.7464 data_time: 0.4076 memory: 17350 grad_norm: 5.6450 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2505 loss: 2.2505 2022/07/23 01:09:50 - mmengine - INFO - Epoch(train) [34][840/3757] lr: 1.0000e-02 eta: 1 day, 22:15:15 time: 0.6049 data_time: 0.2722 memory: 17350 grad_norm: 5.4009 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8949 loss: 1.8949 2022/07/23 01:10:05 - mmengine - INFO - Epoch(train) [34][860/3757] lr: 1.0000e-02 eta: 1 day, 22:15:04 time: 0.7269 data_time: 0.3957 memory: 17350 grad_norm: 5.5172 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9045 loss: 1.9045 2022/07/23 01:10:16 - mmengine - INFO - Epoch(train) [34][880/3757] lr: 1.0000e-02 eta: 1 day, 22:14:47 time: 0.5661 data_time: 0.2338 memory: 17350 grad_norm: 5.4387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8672 loss: 1.8672 2022/07/23 01:10:31 - mmengine - INFO - Epoch(train) [34][900/3757] lr: 1.0000e-02 eta: 1 day, 22:14:37 time: 0.7599 data_time: 0.4286 memory: 17350 grad_norm: 5.6319 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5620 loss: 1.5620 2022/07/23 01:10:43 - mmengine - INFO - Epoch(train) [34][920/3757] lr: 1.0000e-02 eta: 1 day, 22:14:22 time: 0.6077 data_time: 0.2736 memory: 17350 grad_norm: 5.6373 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8340 loss: 1.8340 2022/07/23 01:10:57 - mmengine - INFO - Epoch(train) [34][940/3757] lr: 1.0000e-02 eta: 1 day, 22:14:10 time: 0.6954 data_time: 0.3640 memory: 17350 grad_norm: 5.5847 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8828 loss: 1.8828 2022/07/23 01:11:10 - mmengine - INFO - Epoch(train) [34][960/3757] lr: 1.0000e-02 eta: 1 day, 22:13:55 time: 0.6364 data_time: 0.2956 memory: 17350 grad_norm: 5.7269 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8400 loss: 1.8400 2022/07/23 01:11:25 - mmengine - INFO - Epoch(train) [34][980/3757] lr: 1.0000e-02 eta: 1 day, 22:13:45 time: 0.7439 data_time: 0.4126 memory: 17350 grad_norm: 5.4812 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7852 loss: 1.7852 2022/07/23 01:11:37 - mmengine - INFO - Epoch(train) [34][1000/3757] lr: 1.0000e-02 eta: 1 day, 22:13:29 time: 0.5795 data_time: 0.2479 memory: 17350 grad_norm: 5.7275 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9374 loss: 1.9374 2022/07/23 01:11:51 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 01:11:51 - mmengine - INFO - Epoch(train) [34][1020/3757] lr: 1.0000e-02 eta: 1 day, 22:13:18 time: 0.7159 data_time: 0.3785 memory: 17350 grad_norm: 5.6336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6601 loss: 1.6601 2022/07/23 01:12:03 - mmengine - INFO - Epoch(train) [34][1040/3757] lr: 1.0000e-02 eta: 1 day, 22:13:02 time: 0.6019 data_time: 0.2684 memory: 17350 grad_norm: 5.5510 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8472 loss: 1.8472 2022/07/23 01:12:18 - mmengine - INFO - Epoch(train) [34][1060/3757] lr: 1.0000e-02 eta: 1 day, 22:12:52 time: 0.7530 data_time: 0.4170 memory: 17350 grad_norm: 5.5770 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7092 loss: 1.7092 2022/07/23 01:12:29 - mmengine - INFO - Epoch(train) [34][1080/3757] lr: 1.0000e-02 eta: 1 day, 22:12:35 time: 0.5679 data_time: 0.2332 memory: 17350 grad_norm: 5.4580 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2097 loss: 2.2097 2022/07/23 01:12:43 - mmengine - INFO - Epoch(train) [34][1100/3757] lr: 1.0000e-02 eta: 1 day, 22:12:23 time: 0.6922 data_time: 0.3616 memory: 17350 grad_norm: 5.3209 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8559 loss: 1.8559 2022/07/23 01:12:56 - mmengine - INFO - Epoch(train) [34][1120/3757] lr: 1.0000e-02 eta: 1 day, 22:12:08 time: 0.6311 data_time: 0.2914 memory: 17350 grad_norm: 5.2944 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8812 loss: 1.8812 2022/07/23 01:13:11 - mmengine - INFO - Epoch(train) [34][1140/3757] lr: 1.0000e-02 eta: 1 day, 22:11:58 time: 0.7384 data_time: 0.2667 memory: 17350 grad_norm: 5.3325 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6333 loss: 1.6333 2022/07/23 01:13:23 - mmengine - INFO - Epoch(train) [34][1160/3757] lr: 1.0000e-02 eta: 1 day, 22:11:44 time: 0.6410 data_time: 0.0329 memory: 17350 grad_norm: 5.6440 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9714 loss: 1.9714 2022/07/23 01:13:36 - mmengine - INFO - Epoch(train) [34][1180/3757] lr: 1.0000e-02 eta: 1 day, 22:11:28 time: 0.6063 data_time: 0.1173 memory: 17350 grad_norm: 5.4482 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6846 loss: 1.6846 2022/07/23 01:13:51 - mmengine - INFO - Epoch(train) [34][1200/3757] lr: 1.0000e-02 eta: 1 day, 22:11:18 time: 0.7485 data_time: 0.1270 memory: 17350 grad_norm: 5.7552 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0946 loss: 2.0946 2022/07/23 01:14:03 - mmengine - INFO - Epoch(train) [34][1220/3757] lr: 1.0000e-02 eta: 1 day, 22:11:03 time: 0.6040 data_time: 0.1061 memory: 17350 grad_norm: 5.4902 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7094 loss: 1.7094 2022/07/23 01:14:17 - mmengine - INFO - Epoch(train) [34][1240/3757] lr: 1.0000e-02 eta: 1 day, 22:10:52 time: 0.7201 data_time: 0.0815 memory: 17350 grad_norm: 5.5939 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5254 loss: 1.5254 2022/07/23 01:14:29 - mmengine - INFO - Epoch(train) [34][1260/3757] lr: 1.0000e-02 eta: 1 day, 22:10:36 time: 0.6004 data_time: 0.0235 memory: 17350 grad_norm: 5.3476 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0586 loss: 2.0586 2022/07/23 01:14:45 - mmengine - INFO - Epoch(train) [34][1280/3757] lr: 1.0000e-02 eta: 1 day, 22:10:29 time: 0.8167 data_time: 0.2372 memory: 17350 grad_norm: 5.3587 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8201 loss: 1.8201 2022/07/23 01:14:55 - mmengine - INFO - Epoch(train) [34][1300/3757] lr: 1.0000e-02 eta: 1 day, 22:10:07 time: 0.4619 data_time: 0.0680 memory: 17350 grad_norm: 5.5218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9633 loss: 1.9633 2022/07/23 01:15:11 - mmengine - INFO - Epoch(train) [34][1320/3757] lr: 1.0000e-02 eta: 1 day, 22:10:00 time: 0.8228 data_time: 0.0694 memory: 17350 grad_norm: 5.6015 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8646 loss: 1.8646 2022/07/23 01:15:23 - mmengine - INFO - Epoch(train) [34][1340/3757] lr: 1.0000e-02 eta: 1 day, 22:09:45 time: 0.5991 data_time: 0.0250 memory: 17350 grad_norm: 5.3530 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7566 loss: 1.7566 2022/07/23 01:15:38 - mmengine - INFO - Epoch(train) [34][1360/3757] lr: 1.0000e-02 eta: 1 day, 22:09:34 time: 0.7196 data_time: 0.0234 memory: 17350 grad_norm: 5.4437 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6406 loss: 1.6406 2022/07/23 01:15:49 - mmengine - INFO - Epoch(train) [34][1380/3757] lr: 1.0000e-02 eta: 1 day, 22:09:18 time: 0.5982 data_time: 0.0233 memory: 17350 grad_norm: 5.6322 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6759 loss: 1.6759 2022/07/23 01:16:03 - mmengine - INFO - Epoch(train) [34][1400/3757] lr: 1.0000e-02 eta: 1 day, 22:09:05 time: 0.6767 data_time: 0.0235 memory: 17350 grad_norm: 5.5192 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1023 loss: 2.1023 2022/07/23 01:16:15 - mmengine - INFO - Epoch(train) [34][1420/3757] lr: 1.0000e-02 eta: 1 day, 22:08:49 time: 0.6043 data_time: 0.0245 memory: 17350 grad_norm: 5.4513 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7348 loss: 1.7348 2022/07/23 01:16:29 - mmengine - INFO - Epoch(train) [34][1440/3757] lr: 1.0000e-02 eta: 1 day, 22:08:37 time: 0.7006 data_time: 0.0218 memory: 17350 grad_norm: 5.5210 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1848 loss: 2.1848 2022/07/23 01:16:41 - mmengine - INFO - Epoch(train) [34][1460/3757] lr: 1.0000e-02 eta: 1 day, 22:08:21 time: 0.5868 data_time: 0.0651 memory: 17350 grad_norm: 5.3905 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8353 loss: 1.8353 2022/07/23 01:16:56 - mmengine - INFO - Epoch(train) [34][1480/3757] lr: 1.0000e-02 eta: 1 day, 22:08:12 time: 0.7622 data_time: 0.0423 memory: 17350 grad_norm: 5.5005 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7166 loss: 1.7166 2022/07/23 01:17:08 - mmengine - INFO - Epoch(train) [34][1500/3757] lr: 1.0000e-02 eta: 1 day, 22:07:55 time: 0.5809 data_time: 0.0231 memory: 17350 grad_norm: 5.3472 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7739 loss: 1.7739 2022/07/23 01:17:23 - mmengine - INFO - Epoch(train) [34][1520/3757] lr: 1.0000e-02 eta: 1 day, 22:07:46 time: 0.7747 data_time: 0.0214 memory: 17350 grad_norm: 5.8640 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9994 loss: 1.9994 2022/07/23 01:17:35 - mmengine - INFO - Epoch(train) [34][1540/3757] lr: 1.0000e-02 eta: 1 day, 22:07:30 time: 0.5897 data_time: 0.0280 memory: 17350 grad_norm: 5.4262 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1354 loss: 2.1354 2022/07/23 01:17:50 - mmengine - INFO - Epoch(train) [34][1560/3757] lr: 1.0000e-02 eta: 1 day, 22:07:20 time: 0.7485 data_time: 0.0209 memory: 17350 grad_norm: 5.5159 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0618 loss: 2.0618 2022/07/23 01:18:02 - mmengine - INFO - Epoch(train) [34][1580/3757] lr: 1.0000e-02 eta: 1 day, 22:07:04 time: 0.6002 data_time: 0.0253 memory: 17350 grad_norm: 5.5888 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9976 loss: 1.9976 2022/07/23 01:18:17 - mmengine - INFO - Epoch(train) [34][1600/3757] lr: 1.0000e-02 eta: 1 day, 22:06:55 time: 0.7650 data_time: 0.0210 memory: 17350 grad_norm: 5.7178 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9763 loss: 1.9763 2022/07/23 01:18:29 - mmengine - INFO - Epoch(train) [34][1620/3757] lr: 1.0000e-02 eta: 1 day, 22:06:38 time: 0.5693 data_time: 0.0231 memory: 17350 grad_norm: 5.5575 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0178 loss: 2.0178 2022/07/23 01:18:43 - mmengine - INFO - Epoch(train) [34][1640/3757] lr: 1.0000e-02 eta: 1 day, 22:06:27 time: 0.7163 data_time: 0.0234 memory: 17350 grad_norm: 5.7529 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9235 loss: 1.9235 2022/07/23 01:18:55 - mmengine - INFO - Epoch(train) [34][1660/3757] lr: 1.0000e-02 eta: 1 day, 22:06:11 time: 0.5981 data_time: 0.0236 memory: 17350 grad_norm: 5.5497 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8774 loss: 1.8774 2022/07/23 01:19:09 - mmengine - INFO - Epoch(train) [34][1680/3757] lr: 1.0000e-02 eta: 1 day, 22:05:59 time: 0.7043 data_time: 0.0223 memory: 17350 grad_norm: 5.3823 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7048 loss: 1.7048 2022/07/23 01:19:22 - mmengine - INFO - Epoch(train) [34][1700/3757] lr: 1.0000e-02 eta: 1 day, 22:05:44 time: 0.6175 data_time: 0.0220 memory: 17350 grad_norm: 5.5608 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0698 loss: 2.0698 2022/07/23 01:19:36 - mmengine - INFO - Epoch(train) [34][1720/3757] lr: 1.0000e-02 eta: 1 day, 22:05:33 time: 0.7043 data_time: 0.0235 memory: 17350 grad_norm: 5.6137 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2076 loss: 2.2076 2022/07/23 01:19:48 - mmengine - INFO - Epoch(train) [34][1740/3757] lr: 1.0000e-02 eta: 1 day, 22:05:18 time: 0.6218 data_time: 0.0207 memory: 17350 grad_norm: 5.3868 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7743 loss: 1.7743 2022/07/23 01:20:03 - mmengine - INFO - Epoch(train) [34][1760/3757] lr: 1.0000e-02 eta: 1 day, 22:05:07 time: 0.7249 data_time: 0.0221 memory: 17350 grad_norm: 5.5744 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0298 loss: 2.0298 2022/07/23 01:20:16 - mmengine - INFO - Epoch(train) [34][1780/3757] lr: 1.0000e-02 eta: 1 day, 22:04:53 time: 0.6549 data_time: 0.0267 memory: 17350 grad_norm: 5.8474 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9341 loss: 1.9341 2022/07/23 01:20:30 - mmengine - INFO - Epoch(train) [34][1800/3757] lr: 1.0000e-02 eta: 1 day, 22:04:42 time: 0.7185 data_time: 0.0235 memory: 17350 grad_norm: 5.4707 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1869 loss: 2.1869 2022/07/23 01:20:42 - mmengine - INFO - Epoch(train) [34][1820/3757] lr: 1.0000e-02 eta: 1 day, 22:04:26 time: 0.5996 data_time: 0.0242 memory: 17350 grad_norm: 5.4627 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1021 loss: 2.1021 2022/07/23 01:20:57 - mmengine - INFO - Epoch(train) [34][1840/3757] lr: 1.0000e-02 eta: 1 day, 22:04:15 time: 0.7240 data_time: 0.0233 memory: 17350 grad_norm: 5.6355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8417 loss: 1.8417 2022/07/23 01:21:08 - mmengine - INFO - Epoch(train) [34][1860/3757] lr: 1.0000e-02 eta: 1 day, 22:03:59 time: 0.5833 data_time: 0.0386 memory: 17350 grad_norm: 5.6804 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0322 loss: 2.0322 2022/07/23 01:21:23 - mmengine - INFO - Epoch(train) [34][1880/3757] lr: 1.0000e-02 eta: 1 day, 22:03:49 time: 0.7360 data_time: 0.0610 memory: 17350 grad_norm: 5.7840 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7366 loss: 1.7366 2022/07/23 01:21:35 - mmengine - INFO - Epoch(train) [34][1900/3757] lr: 1.0000e-02 eta: 1 day, 22:03:33 time: 0.6102 data_time: 0.0324 memory: 17350 grad_norm: 5.5359 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7556 loss: 1.7556 2022/07/23 01:21:49 - mmengine - INFO - Epoch(train) [34][1920/3757] lr: 1.0000e-02 eta: 1 day, 22:03:22 time: 0.7091 data_time: 0.0392 memory: 17350 grad_norm: 5.8730 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8712 loss: 1.8712 2022/07/23 01:22:02 - mmengine - INFO - Epoch(train) [34][1940/3757] lr: 1.0000e-02 eta: 1 day, 22:03:07 time: 0.6171 data_time: 0.0917 memory: 17350 grad_norm: 5.6010 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8631 loss: 1.8631 2022/07/23 01:22:17 - mmengine - INFO - Epoch(train) [34][1960/3757] lr: 1.0000e-02 eta: 1 day, 22:02:57 time: 0.7486 data_time: 0.1823 memory: 17350 grad_norm: 5.4903 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1458 loss: 2.1458 2022/07/23 01:22:29 - mmengine - INFO - Epoch(train) [34][1980/3757] lr: 1.0000e-02 eta: 1 day, 22:02:42 time: 0.6365 data_time: 0.2769 memory: 17350 grad_norm: 5.4884 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6346 loss: 1.6346 2022/07/23 01:22:44 - mmengine - INFO - Epoch(train) [34][2000/3757] lr: 1.0000e-02 eta: 1 day, 22:02:31 time: 0.7253 data_time: 0.3911 memory: 17350 grad_norm: 5.6116 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6929 loss: 1.6929 2022/07/23 01:22:56 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 01:22:56 - mmengine - INFO - Epoch(train) [34][2020/3757] lr: 1.0000e-02 eta: 1 day, 22:02:15 time: 0.5970 data_time: 0.2637 memory: 17350 grad_norm: 5.7605 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8305 loss: 1.8305 2022/07/23 01:23:10 - mmengine - INFO - Epoch(train) [34][2040/3757] lr: 1.0000e-02 eta: 1 day, 22:02:04 time: 0.7126 data_time: 0.3703 memory: 17350 grad_norm: 5.6819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6016 loss: 1.6016 2022/07/23 01:23:23 - mmengine - INFO - Epoch(train) [34][2060/3757] lr: 1.0000e-02 eta: 1 day, 22:01:49 time: 0.6182 data_time: 0.2793 memory: 17350 grad_norm: 5.7154 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8840 loss: 1.8840 2022/07/23 01:23:37 - mmengine - INFO - Epoch(train) [34][2080/3757] lr: 1.0000e-02 eta: 1 day, 22:01:38 time: 0.7175 data_time: 0.3857 memory: 17350 grad_norm: 5.4492 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8338 loss: 1.8338 2022/07/23 01:23:49 - mmengine - INFO - Epoch(train) [34][2100/3757] lr: 1.0000e-02 eta: 1 day, 22:01:22 time: 0.5894 data_time: 0.2531 memory: 17350 grad_norm: 5.6882 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6846 loss: 1.6846 2022/07/23 01:24:03 - mmengine - INFO - Epoch(train) [34][2120/3757] lr: 1.0000e-02 eta: 1 day, 22:01:10 time: 0.7093 data_time: 0.3568 memory: 17350 grad_norm: 5.6002 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9044 loss: 1.9044 2022/07/23 01:24:15 - mmengine - INFO - Epoch(train) [34][2140/3757] lr: 1.0000e-02 eta: 1 day, 22:00:55 time: 0.6108 data_time: 0.1768 memory: 17350 grad_norm: 5.5836 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8671 loss: 1.8671 2022/07/23 01:24:29 - mmengine - INFO - Epoch(train) [34][2160/3757] lr: 1.0000e-02 eta: 1 day, 22:00:43 time: 0.6886 data_time: 0.2247 memory: 17350 grad_norm: 5.3387 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6638 loss: 1.6638 2022/07/23 01:24:42 - mmengine - INFO - Epoch(train) [34][2180/3757] lr: 1.0000e-02 eta: 1 day, 22:00:29 time: 0.6630 data_time: 0.0432 memory: 17350 grad_norm: 5.6366 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7980 loss: 1.7980 2022/07/23 01:24:56 - mmengine - INFO - Epoch(train) [34][2200/3757] lr: 1.0000e-02 eta: 1 day, 22:00:17 time: 0.6941 data_time: 0.1944 memory: 17350 grad_norm: 5.3636 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.8142 loss: 1.8142 2022/07/23 01:25:09 - mmengine - INFO - Epoch(train) [34][2220/3757] lr: 1.0000e-02 eta: 1 day, 22:00:04 time: 0.6536 data_time: 0.1600 memory: 17350 grad_norm: 5.5290 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9697 loss: 1.9697 2022/07/23 01:25:22 - mmengine - INFO - Epoch(train) [34][2240/3757] lr: 1.0000e-02 eta: 1 day, 21:59:50 time: 0.6675 data_time: 0.1821 memory: 17350 grad_norm: 5.6717 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6118 loss: 1.6118 2022/07/23 01:25:35 - mmengine - INFO - Epoch(train) [34][2260/3757] lr: 1.0000e-02 eta: 1 day, 21:59:36 time: 0.6382 data_time: 0.1491 memory: 17350 grad_norm: 5.4883 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7723 loss: 1.7723 2022/07/23 01:25:49 - mmengine - INFO - Epoch(train) [34][2280/3757] lr: 1.0000e-02 eta: 1 day, 21:59:24 time: 0.7026 data_time: 0.2503 memory: 17350 grad_norm: 5.6773 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7595 loss: 1.7595 2022/07/23 01:26:02 - mmengine - INFO - Epoch(train) [34][2300/3757] lr: 1.0000e-02 eta: 1 day, 21:59:11 time: 0.6539 data_time: 0.1383 memory: 17350 grad_norm: 5.6170 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8333 loss: 1.8333 2022/07/23 01:26:16 - mmengine - INFO - Epoch(train) [34][2320/3757] lr: 1.0000e-02 eta: 1 day, 21:58:58 time: 0.6681 data_time: 0.1606 memory: 17350 grad_norm: 5.3450 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7536 loss: 1.7536 2022/07/23 01:26:29 - mmengine - INFO - Epoch(train) [34][2340/3757] lr: 1.0000e-02 eta: 1 day, 21:58:44 time: 0.6557 data_time: 0.0560 memory: 17350 grad_norm: 5.4938 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7441 loss: 1.7441 2022/07/23 01:26:42 - mmengine - INFO - Epoch(train) [34][2360/3757] lr: 1.0000e-02 eta: 1 day, 21:58:30 time: 0.6530 data_time: 0.0229 memory: 17350 grad_norm: 5.3533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6455 loss: 1.6455 2022/07/23 01:26:56 - mmengine - INFO - Epoch(train) [34][2380/3757] lr: 1.0000e-02 eta: 1 day, 21:58:18 time: 0.6829 data_time: 0.0565 memory: 17350 grad_norm: 5.5752 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1880 loss: 2.1880 2022/07/23 01:27:09 - mmengine - INFO - Epoch(train) [34][2400/3757] lr: 1.0000e-02 eta: 1 day, 21:58:05 time: 0.6686 data_time: 0.0237 memory: 17350 grad_norm: 5.5331 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1478 loss: 2.1478 2022/07/23 01:27:23 - mmengine - INFO - Epoch(train) [34][2420/3757] lr: 1.0000e-02 eta: 1 day, 21:57:53 time: 0.6976 data_time: 0.0214 memory: 17350 grad_norm: 5.4825 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9311 loss: 1.9311 2022/07/23 01:27:37 - mmengine - INFO - Epoch(train) [34][2440/3757] lr: 1.0000e-02 eta: 1 day, 21:57:41 time: 0.7001 data_time: 0.0229 memory: 17350 grad_norm: 5.5654 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8108 loss: 1.8108 2022/07/23 01:27:50 - mmengine - INFO - Epoch(train) [34][2460/3757] lr: 1.0000e-02 eta: 1 day, 21:57:26 time: 0.6281 data_time: 0.0266 memory: 17350 grad_norm: 5.6198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9480 loss: 1.9480 2022/07/23 01:28:03 - mmengine - INFO - Epoch(train) [34][2480/3757] lr: 1.0000e-02 eta: 1 day, 21:57:14 time: 0.6982 data_time: 0.0213 memory: 17350 grad_norm: 5.6438 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1251 loss: 2.1251 2022/07/23 01:28:15 - mmengine - INFO - Epoch(train) [34][2500/3757] lr: 1.0000e-02 eta: 1 day, 21:56:58 time: 0.5825 data_time: 0.0239 memory: 17350 grad_norm: 5.4809 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9659 loss: 1.9659 2022/07/23 01:28:29 - mmengine - INFO - Epoch(train) [34][2520/3757] lr: 1.0000e-02 eta: 1 day, 21:56:46 time: 0.7098 data_time: 0.0348 memory: 17350 grad_norm: 5.7174 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8333 loss: 1.8333 2022/07/23 01:28:42 - mmengine - INFO - Epoch(train) [34][2540/3757] lr: 1.0000e-02 eta: 1 day, 21:56:31 time: 0.6085 data_time: 0.0629 memory: 17350 grad_norm: 5.6718 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8131 loss: 1.8131 2022/07/23 01:28:55 - mmengine - INFO - Epoch(train) [34][2560/3757] lr: 1.0000e-02 eta: 1 day, 21:56:19 time: 0.6865 data_time: 0.0780 memory: 17350 grad_norm: 5.4966 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8671 loss: 1.8671 2022/07/23 01:29:07 - mmengine - INFO - Epoch(train) [34][2580/3757] lr: 1.0000e-02 eta: 1 day, 21:56:03 time: 0.5982 data_time: 0.1009 memory: 17350 grad_norm: 5.4947 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1755 loss: 2.1755 2022/07/23 01:29:21 - mmengine - INFO - Epoch(train) [34][2600/3757] lr: 1.0000e-02 eta: 1 day, 21:55:50 time: 0.6909 data_time: 0.1496 memory: 17350 grad_norm: 5.6294 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7508 loss: 1.7508 2022/07/23 01:29:34 - mmengine - INFO - Epoch(train) [34][2620/3757] lr: 1.0000e-02 eta: 1 day, 21:55:36 time: 0.6373 data_time: 0.1275 memory: 17350 grad_norm: 5.4018 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0167 loss: 2.0167 2022/07/23 01:29:47 - mmengine - INFO - Epoch(train) [34][2640/3757] lr: 1.0000e-02 eta: 1 day, 21:55:23 time: 0.6766 data_time: 0.0694 memory: 17350 grad_norm: 5.4406 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7039 loss: 1.7039 2022/07/23 01:30:01 - mmengine - INFO - Epoch(train) [34][2660/3757] lr: 1.0000e-02 eta: 1 day, 21:55:10 time: 0.6714 data_time: 0.0245 memory: 17350 grad_norm: 5.4109 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9722 loss: 1.9722 2022/07/23 01:30:15 - mmengine - INFO - Epoch(train) [34][2680/3757] lr: 1.0000e-02 eta: 1 day, 21:54:59 time: 0.7108 data_time: 0.0265 memory: 17350 grad_norm: 5.6155 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5843 loss: 1.5843 2022/07/23 01:30:28 - mmengine - INFO - Epoch(train) [34][2700/3757] lr: 1.0000e-02 eta: 1 day, 21:54:44 time: 0.6262 data_time: 0.0217 memory: 17350 grad_norm: 5.6790 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7633 loss: 1.7633 2022/07/23 01:30:42 - mmengine - INFO - Epoch(train) [34][2720/3757] lr: 1.0000e-02 eta: 1 day, 21:54:33 time: 0.7045 data_time: 0.0222 memory: 17350 grad_norm: 5.6592 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6708 loss: 1.6708 2022/07/23 01:30:55 - mmengine - INFO - Epoch(train) [34][2740/3757] lr: 1.0000e-02 eta: 1 day, 21:54:19 time: 0.6593 data_time: 0.0235 memory: 17350 grad_norm: 5.4059 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8914 loss: 1.8914 2022/07/23 01:31:08 - mmengine - INFO - Epoch(train) [34][2760/3757] lr: 1.0000e-02 eta: 1 day, 21:54:05 time: 0.6436 data_time: 0.0217 memory: 17350 grad_norm: 5.6232 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2642 loss: 2.2642 2022/07/23 01:31:22 - mmengine - INFO - Epoch(train) [34][2780/3757] lr: 1.0000e-02 eta: 1 day, 21:53:54 time: 0.7283 data_time: 0.0234 memory: 17350 grad_norm: 5.5521 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9203 loss: 1.9203 2022/07/23 01:31:35 - mmengine - INFO - Epoch(train) [34][2800/3757] lr: 1.0000e-02 eta: 1 day, 21:53:40 time: 0.6327 data_time: 0.0247 memory: 17350 grad_norm: 5.6883 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8676 loss: 1.8676 2022/07/23 01:31:48 - mmengine - INFO - Epoch(train) [34][2820/3757] lr: 1.0000e-02 eta: 1 day, 21:53:26 time: 0.6403 data_time: 0.0207 memory: 17350 grad_norm: 5.5142 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6451 loss: 1.6451 2022/07/23 01:32:02 - mmengine - INFO - Epoch(train) [34][2840/3757] lr: 1.0000e-02 eta: 1 day, 21:53:13 time: 0.6900 data_time: 0.0247 memory: 17350 grad_norm: 5.5000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8995 loss: 1.8995 2022/07/23 01:32:14 - mmengine - INFO - Epoch(train) [34][2860/3757] lr: 1.0000e-02 eta: 1 day, 21:52:59 time: 0.6322 data_time: 0.0231 memory: 17350 grad_norm: 5.5204 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6372 loss: 1.6372 2022/07/23 01:32:29 - mmengine - INFO - Epoch(train) [34][2880/3757] lr: 1.0000e-02 eta: 1 day, 21:52:48 time: 0.7292 data_time: 0.0221 memory: 17350 grad_norm: 5.6377 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0081 loss: 2.0081 2022/07/23 01:32:41 - mmengine - INFO - Epoch(train) [34][2900/3757] lr: 1.0000e-02 eta: 1 day, 21:52:33 time: 0.6042 data_time: 0.0225 memory: 17350 grad_norm: 5.5882 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8195 loss: 1.8195 2022/07/23 01:32:57 - mmengine - INFO - Epoch(train) [34][2920/3757] lr: 1.0000e-02 eta: 1 day, 21:52:24 time: 0.7871 data_time: 0.0231 memory: 17350 grad_norm: 5.4705 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7931 loss: 1.7931 2022/07/23 01:33:08 - mmengine - INFO - Epoch(train) [34][2940/3757] lr: 1.0000e-02 eta: 1 day, 21:52:07 time: 0.5629 data_time: 0.0229 memory: 17350 grad_norm: 5.5615 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8805 loss: 1.8805 2022/07/23 01:33:23 - mmengine - INFO - Epoch(train) [34][2960/3757] lr: 1.0000e-02 eta: 1 day, 21:51:58 time: 0.7740 data_time: 0.0216 memory: 17350 grad_norm: 5.5093 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8441 loss: 1.8441 2022/07/23 01:33:35 - mmengine - INFO - Epoch(train) [34][2980/3757] lr: 1.0000e-02 eta: 1 day, 21:51:41 time: 0.5656 data_time: 0.0220 memory: 17350 grad_norm: 5.5801 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0641 loss: 2.0641 2022/07/23 01:33:49 - mmengine - INFO - Epoch(train) [34][3000/3757] lr: 1.0000e-02 eta: 1 day, 21:51:30 time: 0.7199 data_time: 0.0208 memory: 17350 grad_norm: 5.5146 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5640 loss: 1.5640 2022/07/23 01:34:00 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 01:34:01 - mmengine - INFO - Epoch(train) [34][3020/3757] lr: 1.0000e-02 eta: 1 day, 21:51:13 time: 0.5821 data_time: 0.0245 memory: 17350 grad_norm: 5.5383 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7330 loss: 1.7330 2022/07/23 01:34:14 - mmengine - INFO - Epoch(train) [34][3040/3757] lr: 1.0000e-02 eta: 1 day, 21:51:00 time: 0.6615 data_time: 0.0219 memory: 17350 grad_norm: 5.4167 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.0655 loss: 2.0655 2022/07/23 01:34:26 - mmengine - INFO - Epoch(train) [34][3060/3757] lr: 1.0000e-02 eta: 1 day, 21:50:45 time: 0.6125 data_time: 0.0248 memory: 17350 grad_norm: 5.3801 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9269 loss: 1.9269 2022/07/23 01:34:41 - mmengine - INFO - Epoch(train) [34][3080/3757] lr: 1.0000e-02 eta: 1 day, 21:50:33 time: 0.7107 data_time: 0.0229 memory: 17350 grad_norm: 5.4846 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6093 loss: 1.6093 2022/07/23 01:34:53 - mmengine - INFO - Epoch(train) [34][3100/3757] lr: 1.0000e-02 eta: 1 day, 21:50:18 time: 0.6075 data_time: 0.0231 memory: 17350 grad_norm: 5.5829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1449 loss: 2.1449 2022/07/23 01:35:08 - mmengine - INFO - Epoch(train) [34][3120/3757] lr: 1.0000e-02 eta: 1 day, 21:50:08 time: 0.7625 data_time: 0.0223 memory: 17350 grad_norm: 5.6726 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9479 loss: 1.9479 2022/07/23 01:35:20 - mmengine - INFO - Epoch(train) [34][3140/3757] lr: 1.0000e-02 eta: 1 day, 21:49:52 time: 0.5917 data_time: 0.0239 memory: 17350 grad_norm: 5.3867 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8535 loss: 1.8535 2022/07/23 01:35:35 - mmengine - INFO - Epoch(train) [34][3160/3757] lr: 1.0000e-02 eta: 1 day, 21:49:42 time: 0.7438 data_time: 0.0216 memory: 17350 grad_norm: 5.5885 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9677 loss: 1.9677 2022/07/23 01:35:47 - mmengine - INFO - Epoch(train) [34][3180/3757] lr: 1.0000e-02 eta: 1 day, 21:49:26 time: 0.6030 data_time: 0.0228 memory: 17350 grad_norm: 5.6911 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9911 loss: 1.9911 2022/07/23 01:36:02 - mmengine - INFO - Epoch(train) [34][3200/3757] lr: 1.0000e-02 eta: 1 day, 21:49:17 time: 0.7552 data_time: 0.0220 memory: 17350 grad_norm: 5.5875 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0755 loss: 2.0755 2022/07/23 01:36:13 - mmengine - INFO - Epoch(train) [34][3220/3757] lr: 1.0000e-02 eta: 1 day, 21:48:59 time: 0.5481 data_time: 0.0225 memory: 17350 grad_norm: 5.5060 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8842 loss: 1.8842 2022/07/23 01:36:28 - mmengine - INFO - Epoch(train) [34][3240/3757] lr: 1.0000e-02 eta: 1 day, 21:48:48 time: 0.7356 data_time: 0.0226 memory: 17350 grad_norm: 5.4200 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0224 loss: 2.0224 2022/07/23 01:36:39 - mmengine - INFO - Epoch(train) [34][3260/3757] lr: 1.0000e-02 eta: 1 day, 21:48:33 time: 0.5957 data_time: 0.0231 memory: 17350 grad_norm: 5.4984 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9842 loss: 1.9842 2022/07/23 01:36:54 - mmengine - INFO - Epoch(train) [34][3280/3757] lr: 1.0000e-02 eta: 1 day, 21:48:21 time: 0.7064 data_time: 0.0229 memory: 17350 grad_norm: 5.3875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7567 loss: 1.7567 2022/07/23 01:37:07 - mmengine - INFO - Epoch(train) [34][3300/3757] lr: 1.0000e-02 eta: 1 day, 21:48:07 time: 0.6561 data_time: 0.0219 memory: 17350 grad_norm: 5.4843 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8967 loss: 1.8967 2022/07/23 01:37:20 - mmengine - INFO - Epoch(train) [34][3320/3757] lr: 1.0000e-02 eta: 1 day, 21:47:54 time: 0.6715 data_time: 0.0221 memory: 17350 grad_norm: 5.6231 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7289 loss: 1.7289 2022/07/23 01:37:33 - mmengine - INFO - Epoch(train) [34][3340/3757] lr: 1.0000e-02 eta: 1 day, 21:47:41 time: 0.6594 data_time: 0.0223 memory: 17350 grad_norm: 5.5600 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8618 loss: 1.8618 2022/07/23 01:37:46 - mmengine - INFO - Epoch(train) [34][3360/3757] lr: 1.0000e-02 eta: 1 day, 21:47:27 time: 0.6365 data_time: 0.0229 memory: 17350 grad_norm: 5.7554 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9825 loss: 1.9825 2022/07/23 01:38:01 - mmengine - INFO - Epoch(train) [34][3380/3757] lr: 1.0000e-02 eta: 1 day, 21:47:15 time: 0.7198 data_time: 0.0272 memory: 17350 grad_norm: 5.5281 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9874 loss: 1.9874 2022/07/23 01:38:13 - mmengine - INFO - Epoch(train) [34][3400/3757] lr: 1.0000e-02 eta: 1 day, 21:47:00 time: 0.6152 data_time: 0.0586 memory: 17350 grad_norm: 5.5793 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7442 loss: 1.7442 2022/07/23 01:38:28 - mmengine - INFO - Epoch(train) [34][3420/3757] lr: 1.0000e-02 eta: 1 day, 21:46:51 time: 0.7667 data_time: 0.0269 memory: 17350 grad_norm: 5.4915 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9373 loss: 1.9373 2022/07/23 01:38:39 - mmengine - INFO - Epoch(train) [34][3440/3757] lr: 1.0000e-02 eta: 1 day, 21:46:34 time: 0.5586 data_time: 0.0227 memory: 17350 grad_norm: 5.4865 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8442 loss: 1.8442 2022/07/23 01:38:54 - mmengine - INFO - Epoch(train) [34][3460/3757] lr: 1.0000e-02 eta: 1 day, 21:46:23 time: 0.7350 data_time: 0.0219 memory: 17350 grad_norm: 5.5483 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8741 loss: 1.8741 2022/07/23 01:39:07 - mmengine - INFO - Epoch(train) [34][3480/3757] lr: 1.0000e-02 eta: 1 day, 21:46:09 time: 0.6284 data_time: 0.0254 memory: 17350 grad_norm: 5.4368 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7346 loss: 1.7346 2022/07/23 01:39:20 - mmengine - INFO - Epoch(train) [34][3500/3757] lr: 1.0000e-02 eta: 1 day, 21:45:56 time: 0.6817 data_time: 0.0231 memory: 17350 grad_norm: 5.7891 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9911 loss: 1.9911 2022/07/23 01:39:34 - mmengine - INFO - Epoch(train) [34][3520/3757] lr: 1.0000e-02 eta: 1 day, 21:45:44 time: 0.6965 data_time: 0.0223 memory: 17350 grad_norm: 5.4566 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7786 loss: 1.7786 2022/07/23 01:39:46 - mmengine - INFO - Epoch(train) [34][3540/3757] lr: 1.0000e-02 eta: 1 day, 21:45:28 time: 0.6066 data_time: 0.0230 memory: 17350 grad_norm: 5.6327 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8965 loss: 1.8965 2022/07/23 01:40:00 - mmengine - INFO - Epoch(train) [34][3560/3757] lr: 1.0000e-02 eta: 1 day, 21:45:16 time: 0.6764 data_time: 0.0204 memory: 17350 grad_norm: 5.5404 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8176 loss: 1.8176 2022/07/23 01:40:13 - mmengine - INFO - Epoch(train) [34][3580/3757] lr: 1.0000e-02 eta: 1 day, 21:45:03 time: 0.6732 data_time: 0.0206 memory: 17350 grad_norm: 5.7487 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9751 loss: 1.9751 2022/07/23 01:40:26 - mmengine - INFO - Epoch(train) [34][3600/3757] lr: 1.0000e-02 eta: 1 day, 21:44:49 time: 0.6542 data_time: 0.0313 memory: 17350 grad_norm: 5.3957 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7892 loss: 1.7892 2022/07/23 01:40:40 - mmengine - INFO - Epoch(train) [34][3620/3757] lr: 1.0000e-02 eta: 1 day, 21:44:37 time: 0.6809 data_time: 0.0394 memory: 17350 grad_norm: 5.3721 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5699 loss: 1.5699 2022/07/23 01:40:53 - mmengine - INFO - Epoch(train) [34][3640/3757] lr: 1.0000e-02 eta: 1 day, 21:44:23 time: 0.6586 data_time: 0.0520 memory: 17350 grad_norm: 5.3593 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9744 loss: 1.9744 2022/07/23 01:41:07 - mmengine - INFO - Epoch(train) [34][3660/3757] lr: 1.0000e-02 eta: 1 day, 21:44:11 time: 0.6883 data_time: 0.0643 memory: 17350 grad_norm: 5.4298 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6205 loss: 1.6205 2022/07/23 01:41:20 - mmengine - INFO - Epoch(train) [34][3680/3757] lr: 1.0000e-02 eta: 1 day, 21:43:57 time: 0.6461 data_time: 0.0501 memory: 17350 grad_norm: 5.4524 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9205 loss: 1.9205 2022/07/23 01:41:33 - mmengine - INFO - Epoch(train) [34][3700/3757] lr: 1.0000e-02 eta: 1 day, 21:43:43 time: 0.6391 data_time: 0.0238 memory: 17350 grad_norm: 5.5555 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8974 loss: 1.8974 2022/07/23 01:41:47 - mmengine - INFO - Epoch(train) [34][3720/3757] lr: 1.0000e-02 eta: 1 day, 21:43:31 time: 0.6967 data_time: 0.0238 memory: 17350 grad_norm: 5.6493 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9858 loss: 1.9858 2022/07/23 01:41:59 - mmengine - INFO - Epoch(train) [34][3740/3757] lr: 1.0000e-02 eta: 1 day, 21:43:16 time: 0.6314 data_time: 0.0234 memory: 17350 grad_norm: 5.6100 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6035 loss: 1.6035 2022/07/23 01:42:08 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 01:42:08 - mmengine - INFO - Epoch(train) [34][3757/3757] lr: 1.0000e-02 eta: 1 day, 21:43:16 time: 0.4965 data_time: 0.0214 memory: 17350 grad_norm: 5.6480 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.6550 loss: 1.6550 2022/07/23 01:42:26 - mmengine - INFO - Epoch(val) [34][20/310] eta: 0:04:13 time: 0.8756 data_time: 0.7631 memory: 3406 2022/07/23 01:42:36 - mmengine - INFO - Epoch(val) [34][40/310] eta: 0:02:23 time: 0.5332 data_time: 0.4203 memory: 3406 2022/07/23 01:42:51 - mmengine - INFO - Epoch(val) [34][60/310] eta: 0:02:57 time: 0.7118 data_time: 0.5966 memory: 3406 2022/07/23 01:43:02 - mmengine - INFO - Epoch(val) [34][80/310] eta: 0:02:15 time: 0.5905 data_time: 0.4762 memory: 3406 2022/07/23 01:43:18 - mmengine - INFO - Epoch(val) [34][100/310] eta: 0:02:38 time: 0.7551 data_time: 0.6413 memory: 3406 2022/07/23 01:43:28 - mmengine - INFO - Epoch(val) [34][120/310] eta: 0:01:43 time: 0.5441 data_time: 0.4316 memory: 3406 2022/07/23 01:43:44 - mmengine - INFO - Epoch(val) [34][140/310] eta: 0:02:15 time: 0.7952 data_time: 0.6799 memory: 3406 2022/07/23 01:43:56 - mmengine - INFO - Epoch(val) [34][160/310] eta: 0:01:25 time: 0.5730 data_time: 0.4587 memory: 3406 2022/07/23 01:44:11 - mmengine - INFO - Epoch(val) [34][180/310] eta: 0:01:38 time: 0.7557 data_time: 0.6426 memory: 3406 2022/07/23 01:44:22 - mmengine - INFO - Epoch(val) [34][200/310] eta: 0:00:59 time: 0.5424 data_time: 0.4280 memory: 3406 2022/07/23 01:44:37 - mmengine - INFO - Epoch(val) [34][220/310] eta: 0:01:09 time: 0.7772 data_time: 0.6646 memory: 3406 2022/07/23 01:44:48 - mmengine - INFO - Epoch(val) [34][240/310] eta: 0:00:37 time: 0.5385 data_time: 0.4251 memory: 3406 2022/07/23 01:45:04 - mmengine - INFO - Epoch(val) [34][260/310] eta: 0:00:39 time: 0.7859 data_time: 0.6716 memory: 3406 2022/07/23 01:45:15 - mmengine - INFO - Epoch(val) [34][280/310] eta: 0:00:16 time: 0.5504 data_time: 0.4378 memory: 3406 2022/07/23 01:45:30 - mmengine - INFO - Epoch(val) [34][300/310] eta: 0:00:07 time: 0.7441 data_time: 0.6307 memory: 3406 2022/07/23 01:45:34 - mmengine - INFO - Epoch(val) [34][310/310] acc/top1: 0.5903 acc/top5: 0.8211 acc/mean1: 0.5903 2022/07/23 01:45:35 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_32.pth is removed 2022/07/23 01:45:38 - mmengine - INFO - The best checkpoint with 0.5903 acc/top1 at 35 epoch is saved to best_acc/top1_epoch_35.pth. 2022/07/23 01:45:55 - mmengine - INFO - Epoch(train) [35][20/3757] lr: 1.0000e-02 eta: 1 day, 21:42:37 time: 0.8588 data_time: 0.5233 memory: 17350 grad_norm: 5.3780 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7138 loss: 1.7138 2022/07/23 01:46:07 - mmengine - INFO - Epoch(train) [35][40/3757] lr: 1.0000e-02 eta: 1 day, 21:42:21 time: 0.5901 data_time: 0.2599 memory: 17350 grad_norm: 5.5371 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6969 loss: 1.6969 2022/07/23 01:46:22 - mmengine - INFO - Epoch(train) [35][60/3757] lr: 1.0000e-02 eta: 1 day, 21:42:10 time: 0.7314 data_time: 0.3930 memory: 17350 grad_norm: 5.5222 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7971 loss: 1.7971 2022/07/23 01:46:33 - mmengine - INFO - Epoch(train) [35][80/3757] lr: 1.0000e-02 eta: 1 day, 21:41:53 time: 0.5566 data_time: 0.2252 memory: 17350 grad_norm: 5.3476 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1756 loss: 2.1756 2022/07/23 01:46:48 - mmengine - INFO - Epoch(train) [35][100/3757] lr: 1.0000e-02 eta: 1 day, 21:41:42 time: 0.7319 data_time: 0.4043 memory: 17350 grad_norm: 5.4578 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8679 loss: 1.8679 2022/07/23 01:46:59 - mmengine - INFO - Epoch(train) [35][120/3757] lr: 1.0000e-02 eta: 1 day, 21:41:26 time: 0.5842 data_time: 0.2587 memory: 17350 grad_norm: 5.4989 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8149 loss: 1.8149 2022/07/23 01:47:15 - mmengine - INFO - Epoch(train) [35][140/3757] lr: 1.0000e-02 eta: 1 day, 21:41:17 time: 0.7681 data_time: 0.3966 memory: 17350 grad_norm: 5.5336 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6862 loss: 1.6862 2022/07/23 01:47:27 - mmengine - INFO - Epoch(train) [35][160/3757] lr: 1.0000e-02 eta: 1 day, 21:41:01 time: 0.6000 data_time: 0.2249 memory: 17350 grad_norm: 5.5834 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8534 loss: 1.8534 2022/07/23 01:47:41 - mmengine - INFO - Epoch(train) [35][180/3757] lr: 1.0000e-02 eta: 1 day, 21:40:50 time: 0.7271 data_time: 0.3106 memory: 17350 grad_norm: 5.8606 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0634 loss: 2.0634 2022/07/23 01:47:53 - mmengine - INFO - Epoch(train) [35][200/3757] lr: 1.0000e-02 eta: 1 day, 21:40:35 time: 0.6044 data_time: 0.2381 memory: 17350 grad_norm: 5.6179 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0334 loss: 2.0334 2022/07/23 01:48:08 - mmengine - INFO - Epoch(train) [35][220/3757] lr: 1.0000e-02 eta: 1 day, 21:40:24 time: 0.7248 data_time: 0.3836 memory: 17350 grad_norm: 5.4956 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8131 loss: 1.8131 2022/07/23 01:48:20 - mmengine - INFO - Epoch(train) [35][240/3757] lr: 1.0000e-02 eta: 1 day, 21:40:07 time: 0.5833 data_time: 0.2024 memory: 17350 grad_norm: 5.4917 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7133 loss: 1.7133 2022/07/23 01:48:34 - mmengine - INFO - Epoch(train) [35][260/3757] lr: 1.0000e-02 eta: 1 day, 21:39:56 time: 0.7126 data_time: 0.2059 memory: 17350 grad_norm: 5.5207 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7353 loss: 1.7353 2022/07/23 01:48:35 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 01:48:46 - mmengine - INFO - Epoch(train) [35][280/3757] lr: 1.0000e-02 eta: 1 day, 21:39:40 time: 0.6008 data_time: 0.0961 memory: 17350 grad_norm: 5.4307 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8014 loss: 1.8014 2022/07/23 01:49:01 - mmengine - INFO - Epoch(train) [35][300/3757] lr: 1.0000e-02 eta: 1 day, 21:39:31 time: 0.7701 data_time: 0.2435 memory: 17350 grad_norm: 5.3212 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8347 loss: 1.8347 2022/07/23 01:49:13 - mmengine - INFO - Epoch(train) [35][320/3757] lr: 1.0000e-02 eta: 1 day, 21:39:15 time: 0.6003 data_time: 0.2282 memory: 17350 grad_norm: 5.5370 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6646 loss: 1.6646 2022/07/23 01:49:28 - mmengine - INFO - Epoch(train) [35][340/3757] lr: 1.0000e-02 eta: 1 day, 21:39:04 time: 0.7151 data_time: 0.2019 memory: 17350 grad_norm: 5.4632 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7128 loss: 1.7128 2022/07/23 01:49:40 - mmengine - INFO - Epoch(train) [35][360/3757] lr: 1.0000e-02 eta: 1 day, 21:38:49 time: 0.6225 data_time: 0.2149 memory: 17350 grad_norm: 5.5801 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8948 loss: 1.8948 2022/07/23 01:49:54 - mmengine - INFO - Epoch(train) [35][380/3757] lr: 1.0000e-02 eta: 1 day, 21:38:37 time: 0.6804 data_time: 0.1734 memory: 17350 grad_norm: 5.6025 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0796 loss: 2.0796 2022/07/23 01:50:07 - mmengine - INFO - Epoch(train) [35][400/3757] lr: 1.0000e-02 eta: 1 day, 21:38:23 time: 0.6613 data_time: 0.1841 memory: 17350 grad_norm: 5.5874 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9250 loss: 1.9250 2022/07/23 01:50:20 - mmengine - INFO - Epoch(train) [35][420/3757] lr: 1.0000e-02 eta: 1 day, 21:38:10 time: 0.6701 data_time: 0.1323 memory: 17350 grad_norm: 5.3953 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7763 loss: 1.7763 2022/07/23 01:50:34 - mmengine - INFO - Epoch(train) [35][440/3757] lr: 1.0000e-02 eta: 1 day, 21:37:58 time: 0.7036 data_time: 0.2243 memory: 17350 grad_norm: 5.4041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7189 loss: 1.7189 2022/07/23 01:50:47 - mmengine - INFO - Epoch(train) [35][460/3757] lr: 1.0000e-02 eta: 1 day, 21:37:43 time: 0.6195 data_time: 0.1959 memory: 17350 grad_norm: 5.6107 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8601 loss: 1.8601 2022/07/23 01:51:00 - mmengine - INFO - Epoch(train) [35][480/3757] lr: 1.0000e-02 eta: 1 day, 21:37:31 time: 0.6808 data_time: 0.1937 memory: 17350 grad_norm: 5.5736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8292 loss: 1.8292 2022/07/23 01:51:13 - mmengine - INFO - Epoch(train) [35][500/3757] lr: 1.0000e-02 eta: 1 day, 21:37:17 time: 0.6524 data_time: 0.1120 memory: 17350 grad_norm: 5.5514 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7971 loss: 1.7971 2022/07/23 01:51:27 - mmengine - INFO - Epoch(train) [35][520/3757] lr: 1.0000e-02 eta: 1 day, 21:37:04 time: 0.6727 data_time: 0.2446 memory: 17350 grad_norm: 5.2633 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6501 loss: 1.6501 2022/07/23 01:51:40 - mmengine - INFO - Epoch(train) [35][540/3757] lr: 1.0000e-02 eta: 1 day, 21:36:51 time: 0.6561 data_time: 0.2071 memory: 17350 grad_norm: 5.7495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8704 loss: 1.8704 2022/07/23 01:51:55 - mmengine - INFO - Epoch(train) [35][560/3757] lr: 1.0000e-02 eta: 1 day, 21:36:40 time: 0.7381 data_time: 0.3694 memory: 17350 grad_norm: 5.7344 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8570 loss: 1.8570 2022/07/23 01:52:07 - mmengine - INFO - Epoch(train) [35][580/3757] lr: 1.0000e-02 eta: 1 day, 21:36:24 time: 0.5946 data_time: 0.2159 memory: 17350 grad_norm: 5.5154 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6719 loss: 1.6719 2022/07/23 01:52:20 - mmengine - INFO - Epoch(train) [35][600/3757] lr: 1.0000e-02 eta: 1 day, 21:36:10 time: 0.6479 data_time: 0.1943 memory: 17350 grad_norm: 5.6126 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9440 loss: 1.9440 2022/07/23 01:52:35 - mmengine - INFO - Epoch(train) [35][620/3757] lr: 1.0000e-02 eta: 1 day, 21:36:01 time: 0.7736 data_time: 0.1115 memory: 17350 grad_norm: 5.7016 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7792 loss: 1.7792 2022/07/23 01:52:47 - mmengine - INFO - Epoch(train) [35][640/3757] lr: 1.0000e-02 eta: 1 day, 21:35:44 time: 0.5706 data_time: 0.0325 memory: 17350 grad_norm: 5.5010 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9990 loss: 1.9990 2022/07/23 01:53:02 - mmengine - INFO - Epoch(train) [35][660/3757] lr: 1.0000e-02 eta: 1 day, 21:35:35 time: 0.7566 data_time: 0.1120 memory: 17350 grad_norm: 5.7226 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7506 loss: 1.7506 2022/07/23 01:53:13 - mmengine - INFO - Epoch(train) [35][680/3757] lr: 1.0000e-02 eta: 1 day, 21:35:18 time: 0.5653 data_time: 0.1120 memory: 17350 grad_norm: 5.6197 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7546 loss: 1.7546 2022/07/23 01:53:28 - mmengine - INFO - Epoch(train) [35][700/3757] lr: 1.0000e-02 eta: 1 day, 21:35:08 time: 0.7517 data_time: 0.2343 memory: 17350 grad_norm: 5.7099 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9781 loss: 1.9781 2022/07/23 01:53:40 - mmengine - INFO - Epoch(train) [35][720/3757] lr: 1.0000e-02 eta: 1 day, 21:34:53 time: 0.6114 data_time: 0.1330 memory: 17350 grad_norm: 5.4399 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0027 loss: 2.0027 2022/07/23 01:53:55 - mmengine - INFO - Epoch(train) [35][740/3757] lr: 1.0000e-02 eta: 1 day, 21:34:43 time: 0.7546 data_time: 0.1359 memory: 17350 grad_norm: 5.3203 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7101 loss: 1.7101 2022/07/23 01:54:06 - mmengine - INFO - Epoch(train) [35][760/3757] lr: 1.0000e-02 eta: 1 day, 21:34:25 time: 0.5497 data_time: 0.1707 memory: 17350 grad_norm: 5.4269 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8395 loss: 1.8395 2022/07/23 01:54:21 - mmengine - INFO - Epoch(train) [35][780/3757] lr: 1.0000e-02 eta: 1 day, 21:34:15 time: 0.7426 data_time: 0.3278 memory: 17350 grad_norm: 5.5824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8009 loss: 1.8009 2022/07/23 01:54:34 - mmengine - INFO - Epoch(train) [35][800/3757] lr: 1.0000e-02 eta: 1 day, 21:34:01 time: 0.6401 data_time: 0.3124 memory: 17350 grad_norm: 5.5074 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7228 loss: 1.7228 2022/07/23 01:54:48 - mmengine - INFO - Epoch(train) [35][820/3757] lr: 1.0000e-02 eta: 1 day, 21:33:49 time: 0.7007 data_time: 0.3741 memory: 17350 grad_norm: 5.4632 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7452 loss: 1.7452 2022/07/23 01:55:00 - mmengine - INFO - Epoch(train) [35][840/3757] lr: 1.0000e-02 eta: 1 day, 21:33:34 time: 0.6129 data_time: 0.2887 memory: 17350 grad_norm: 5.6677 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8830 loss: 1.8830 2022/07/23 01:55:15 - mmengine - INFO - Epoch(train) [35][860/3757] lr: 1.0000e-02 eta: 1 day, 21:33:23 time: 0.7324 data_time: 0.4107 memory: 17350 grad_norm: 5.5120 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6609 loss: 1.6609 2022/07/23 01:55:28 - mmengine - INFO - Epoch(train) [35][880/3757] lr: 1.0000e-02 eta: 1 day, 21:33:10 time: 0.6628 data_time: 0.3390 memory: 17350 grad_norm: 5.7971 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2309 loss: 2.2309 2022/07/23 01:55:41 - mmengine - INFO - Epoch(train) [35][900/3757] lr: 1.0000e-02 eta: 1 day, 21:32:55 time: 0.6377 data_time: 0.2082 memory: 17350 grad_norm: 5.4054 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6370 loss: 1.6370 2022/07/23 01:55:55 - mmengine - INFO - Epoch(train) [35][920/3757] lr: 1.0000e-02 eta: 1 day, 21:32:43 time: 0.6763 data_time: 0.2652 memory: 17350 grad_norm: 5.5403 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8641 loss: 1.8641 2022/07/23 01:56:07 - mmengine - INFO - Epoch(train) [35][940/3757] lr: 1.0000e-02 eta: 1 day, 21:32:28 time: 0.6324 data_time: 0.2223 memory: 17350 grad_norm: 5.7177 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9113 loss: 1.9113 2022/07/23 01:56:22 - mmengine - INFO - Epoch(train) [35][960/3757] lr: 1.0000e-02 eta: 1 day, 21:32:18 time: 0.7341 data_time: 0.3029 memory: 17350 grad_norm: 5.3190 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8904 loss: 1.8904 2022/07/23 01:56:34 - mmengine - INFO - Epoch(train) [35][980/3757] lr: 1.0000e-02 eta: 1 day, 21:32:03 time: 0.6210 data_time: 0.2457 memory: 17350 grad_norm: 5.6275 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0732 loss: 2.0732 2022/07/23 01:56:49 - mmengine - INFO - Epoch(train) [35][1000/3757] lr: 1.0000e-02 eta: 1 day, 21:31:51 time: 0.7081 data_time: 0.2686 memory: 17350 grad_norm: 5.8413 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8078 loss: 1.8078 2022/07/23 01:57:01 - mmengine - INFO - Epoch(train) [35][1020/3757] lr: 1.0000e-02 eta: 1 day, 21:31:37 time: 0.6449 data_time: 0.0954 memory: 17350 grad_norm: 5.5280 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6519 loss: 1.6519 2022/07/23 01:57:14 - mmengine - INFO - Epoch(train) [35][1040/3757] lr: 1.0000e-02 eta: 1 day, 21:31:23 time: 0.6315 data_time: 0.1259 memory: 17350 grad_norm: 5.6956 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7504 loss: 1.7504 2022/07/23 01:57:29 - mmengine - INFO - Epoch(train) [35][1060/3757] lr: 1.0000e-02 eta: 1 day, 21:31:12 time: 0.7417 data_time: 0.0507 memory: 17350 grad_norm: 5.4589 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8860 loss: 1.8860 2022/07/23 01:57:41 - mmengine - INFO - Epoch(train) [35][1080/3757] lr: 1.0000e-02 eta: 1 day, 21:30:56 time: 0.5881 data_time: 0.0225 memory: 17350 grad_norm: 5.4190 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6634 loss: 1.6634 2022/07/23 01:57:54 - mmengine - INFO - Epoch(train) [35][1100/3757] lr: 1.0000e-02 eta: 1 day, 21:30:44 time: 0.6839 data_time: 0.0868 memory: 17350 grad_norm: 5.4675 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0636 loss: 2.0636 2022/07/23 01:58:07 - mmengine - INFO - Epoch(train) [35][1120/3757] lr: 1.0000e-02 eta: 1 day, 21:30:29 time: 0.6191 data_time: 0.0666 memory: 17350 grad_norm: 5.2898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4871 loss: 1.4871 2022/07/23 01:58:21 - mmengine - INFO - Epoch(train) [35][1140/3757] lr: 1.0000e-02 eta: 1 day, 21:30:16 time: 0.6903 data_time: 0.1375 memory: 17350 grad_norm: 5.3830 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4317 loss: 1.4317 2022/07/23 01:58:33 - mmengine - INFO - Epoch(train) [35][1160/3757] lr: 1.0000e-02 eta: 1 day, 21:30:02 time: 0.6342 data_time: 0.0394 memory: 17350 grad_norm: 5.4830 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0153 loss: 2.0153 2022/07/23 01:58:48 - mmengine - INFO - Epoch(train) [35][1180/3757] lr: 1.0000e-02 eta: 1 day, 21:29:51 time: 0.7194 data_time: 0.0711 memory: 17350 grad_norm: 5.4209 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5886 loss: 1.5886 2022/07/23 01:59:00 - mmengine - INFO - Epoch(train) [35][1200/3757] lr: 1.0000e-02 eta: 1 day, 21:29:36 time: 0.6203 data_time: 0.0231 memory: 17350 grad_norm: 5.3322 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5897 loss: 1.5897 2022/07/23 01:59:15 - mmengine - INFO - Epoch(train) [35][1220/3757] lr: 1.0000e-02 eta: 1 day, 21:29:25 time: 0.7247 data_time: 0.0216 memory: 17350 grad_norm: 5.8525 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8282 loss: 1.8282 2022/07/23 01:59:27 - mmengine - INFO - Epoch(train) [35][1240/3757] lr: 1.0000e-02 eta: 1 day, 21:29:10 time: 0.6164 data_time: 0.0234 memory: 17350 grad_norm: 5.6072 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0265 loss: 2.0265 2022/07/23 01:59:41 - mmengine - INFO - Epoch(train) [35][1260/3757] lr: 1.0000e-02 eta: 1 day, 21:28:57 time: 0.6852 data_time: 0.0687 memory: 17350 grad_norm: 5.6052 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9953 loss: 1.9953 2022/07/23 01:59:42 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 01:59:54 - mmengine - INFO - Epoch(train) [35][1280/3757] lr: 1.0000e-02 eta: 1 day, 21:28:43 time: 0.6460 data_time: 0.0778 memory: 17350 grad_norm: 5.5562 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9305 loss: 1.9305 2022/07/23 02:00:08 - mmengine - INFO - Epoch(train) [35][1300/3757] lr: 1.0000e-02 eta: 1 day, 21:28:33 time: 0.7265 data_time: 0.0700 memory: 17350 grad_norm: 5.5495 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7901 loss: 1.7901 2022/07/23 02:00:21 - mmengine - INFO - Epoch(train) [35][1320/3757] lr: 1.0000e-02 eta: 1 day, 21:28:19 time: 0.6603 data_time: 0.0580 memory: 17350 grad_norm: 5.4145 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7274 loss: 1.7274 2022/07/23 02:00:37 - mmengine - INFO - Epoch(train) [35][1340/3757] lr: 1.0000e-02 eta: 1 day, 21:28:10 time: 0.7630 data_time: 0.1975 memory: 17350 grad_norm: 5.6565 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9155 loss: 1.9155 2022/07/23 02:00:48 - mmengine - INFO - Epoch(train) [35][1360/3757] lr: 1.0000e-02 eta: 1 day, 21:27:54 time: 0.5918 data_time: 0.0803 memory: 17350 grad_norm: 5.6294 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7725 loss: 1.7725 2022/07/23 02:01:04 - mmengine - INFO - Epoch(train) [35][1380/3757] lr: 1.0000e-02 eta: 1 day, 21:27:44 time: 0.7539 data_time: 0.0239 memory: 17350 grad_norm: 5.1486 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5745 loss: 1.5745 2022/07/23 02:01:14 - mmengine - INFO - Epoch(train) [35][1400/3757] lr: 1.0000e-02 eta: 1 day, 21:27:26 time: 0.5488 data_time: 0.0228 memory: 17350 grad_norm: 5.3107 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9852 loss: 1.9852 2022/07/23 02:01:29 - mmengine - INFO - Epoch(train) [35][1420/3757] lr: 1.0000e-02 eta: 1 day, 21:27:15 time: 0.7185 data_time: 0.0232 memory: 17350 grad_norm: 5.4295 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7501 loss: 1.7501 2022/07/23 02:01:41 - mmengine - INFO - Epoch(train) [35][1440/3757] lr: 1.0000e-02 eta: 1 day, 21:26:59 time: 0.6035 data_time: 0.0212 memory: 17350 grad_norm: 5.3158 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6822 loss: 1.6822 2022/07/23 02:01:55 - mmengine - INFO - Epoch(train) [35][1460/3757] lr: 1.0000e-02 eta: 1 day, 21:26:47 time: 0.6982 data_time: 0.0404 memory: 17350 grad_norm: 5.7700 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9477 loss: 1.9477 2022/07/23 02:02:07 - mmengine - INFO - Epoch(train) [35][1480/3757] lr: 1.0000e-02 eta: 1 day, 21:26:32 time: 0.6117 data_time: 0.0617 memory: 17350 grad_norm: 5.7093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6890 loss: 1.6890 2022/07/23 02:02:21 - mmengine - INFO - Epoch(train) [35][1500/3757] lr: 1.0000e-02 eta: 1 day, 21:26:21 time: 0.7106 data_time: 0.1326 memory: 17350 grad_norm: 5.6085 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7983 loss: 1.7983 2022/07/23 02:02:34 - mmengine - INFO - Epoch(train) [35][1520/3757] lr: 1.0000e-02 eta: 1 day, 21:26:06 time: 0.6376 data_time: 0.0295 memory: 17350 grad_norm: 5.5212 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0203 loss: 2.0203 2022/07/23 02:02:49 - mmengine - INFO - Epoch(train) [35][1540/3757] lr: 1.0000e-02 eta: 1 day, 21:25:56 time: 0.7421 data_time: 0.0240 memory: 17350 grad_norm: 5.5922 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7697 loss: 1.7697 2022/07/23 02:03:00 - mmengine - INFO - Epoch(train) [35][1560/3757] lr: 1.0000e-02 eta: 1 day, 21:25:39 time: 0.5745 data_time: 0.0230 memory: 17350 grad_norm: 5.6861 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3239 loss: 2.3239 2022/07/23 02:03:15 - mmengine - INFO - Epoch(train) [35][1580/3757] lr: 1.0000e-02 eta: 1 day, 21:25:28 time: 0.7231 data_time: 0.0229 memory: 17350 grad_norm: 5.5099 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7444 loss: 1.7444 2022/07/23 02:03:27 - mmengine - INFO - Epoch(train) [35][1600/3757] lr: 1.0000e-02 eta: 1 day, 21:25:14 time: 0.6236 data_time: 0.0266 memory: 17350 grad_norm: 5.5142 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6837 loss: 1.6837 2022/07/23 02:03:41 - mmengine - INFO - Epoch(train) [35][1620/3757] lr: 1.0000e-02 eta: 1 day, 21:25:00 time: 0.6635 data_time: 0.0242 memory: 17350 grad_norm: 5.6222 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0805 loss: 2.0805 2022/07/23 02:03:54 - mmengine - INFO - Epoch(train) [35][1640/3757] lr: 1.0000e-02 eta: 1 day, 21:24:48 time: 0.6823 data_time: 0.1161 memory: 17350 grad_norm: 5.3058 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9589 loss: 1.9589 2022/07/23 02:04:09 - mmengine - INFO - Epoch(train) [35][1660/3757] lr: 1.0000e-02 eta: 1 day, 21:24:37 time: 0.7396 data_time: 0.2758 memory: 17350 grad_norm: 5.4899 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8120 loss: 1.8120 2022/07/23 02:04:22 - mmengine - INFO - Epoch(train) [35][1680/3757] lr: 1.0000e-02 eta: 1 day, 21:24:22 time: 0.6173 data_time: 0.1305 memory: 17350 grad_norm: 5.5917 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1890 loss: 2.1890 2022/07/23 02:04:36 - mmengine - INFO - Epoch(train) [35][1700/3757] lr: 1.0000e-02 eta: 1 day, 21:24:11 time: 0.7140 data_time: 0.0246 memory: 17350 grad_norm: 5.4515 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6207 loss: 1.6207 2022/07/23 02:04:48 - mmengine - INFO - Epoch(train) [35][1720/3757] lr: 1.0000e-02 eta: 1 day, 21:23:55 time: 0.5929 data_time: 0.0211 memory: 17350 grad_norm: 5.5075 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0731 loss: 2.0731 2022/07/23 02:05:03 - mmengine - INFO - Epoch(train) [35][1740/3757] lr: 1.0000e-02 eta: 1 day, 21:23:46 time: 0.7625 data_time: 0.0212 memory: 17350 grad_norm: 5.3792 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5767 loss: 1.5767 2022/07/23 02:05:15 - mmengine - INFO - Epoch(train) [35][1760/3757] lr: 1.0000e-02 eta: 1 day, 21:23:30 time: 0.6161 data_time: 0.0224 memory: 17350 grad_norm: 5.6587 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2295 loss: 2.2295 2022/07/23 02:05:29 - mmengine - INFO - Epoch(train) [35][1780/3757] lr: 1.0000e-02 eta: 1 day, 21:23:18 time: 0.6799 data_time: 0.0216 memory: 17350 grad_norm: 5.6270 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8199 loss: 1.8199 2022/07/23 02:05:41 - mmengine - INFO - Epoch(train) [35][1800/3757] lr: 1.0000e-02 eta: 1 day, 21:23:03 time: 0.6214 data_time: 0.0239 memory: 17350 grad_norm: 5.7527 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6820 loss: 1.6820 2022/07/23 02:05:55 - mmengine - INFO - Epoch(train) [35][1820/3757] lr: 1.0000e-02 eta: 1 day, 21:22:51 time: 0.6920 data_time: 0.0223 memory: 17350 grad_norm: 5.4857 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8650 loss: 1.8650 2022/07/23 02:06:07 - mmengine - INFO - Epoch(train) [35][1840/3757] lr: 1.0000e-02 eta: 1 day, 21:22:34 time: 0.5846 data_time: 0.0239 memory: 17350 grad_norm: 5.5764 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0220 loss: 2.0220 2022/07/23 02:06:21 - mmengine - INFO - Epoch(train) [35][1860/3757] lr: 1.0000e-02 eta: 1 day, 21:22:23 time: 0.7006 data_time: 0.0575 memory: 17350 grad_norm: 5.3999 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.7614 loss: 1.7614 2022/07/23 02:06:34 - mmengine - INFO - Epoch(train) [35][1880/3757] lr: 1.0000e-02 eta: 1 day, 21:22:09 time: 0.6607 data_time: 0.1313 memory: 17350 grad_norm: 5.5226 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9022 loss: 1.9022 2022/07/23 02:06:48 - mmengine - INFO - Epoch(train) [35][1900/3757] lr: 1.0000e-02 eta: 1 day, 21:21:56 time: 0.6717 data_time: 0.1363 memory: 17350 grad_norm: 5.5064 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5503 loss: 1.5503 2022/07/23 02:07:01 - mmengine - INFO - Epoch(train) [35][1920/3757] lr: 1.0000e-02 eta: 1 day, 21:21:44 time: 0.6828 data_time: 0.2443 memory: 17350 grad_norm: 5.5424 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7468 loss: 1.7468 2022/07/23 02:07:14 - mmengine - INFO - Epoch(train) [35][1940/3757] lr: 1.0000e-02 eta: 1 day, 21:21:29 time: 0.6343 data_time: 0.2166 memory: 17350 grad_norm: 5.3742 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8641 loss: 1.8641 2022/07/23 02:07:28 - mmengine - INFO - Epoch(train) [35][1960/3757] lr: 1.0000e-02 eta: 1 day, 21:21:17 time: 0.6954 data_time: 0.2785 memory: 17350 grad_norm: 5.3855 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6199 loss: 1.6199 2022/07/23 02:07:40 - mmengine - INFO - Epoch(train) [35][1980/3757] lr: 1.0000e-02 eta: 1 day, 21:21:02 time: 0.6236 data_time: 0.2316 memory: 17350 grad_norm: 5.4472 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7218 loss: 1.7218 2022/07/23 02:07:55 - mmengine - INFO - Epoch(train) [35][2000/3757] lr: 1.0000e-02 eta: 1 day, 21:20:52 time: 0.7392 data_time: 0.3954 memory: 17350 grad_norm: 5.7344 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0205 loss: 2.0205 2022/07/23 02:08:07 - mmengine - INFO - Epoch(train) [35][2020/3757] lr: 1.0000e-02 eta: 1 day, 21:20:36 time: 0.5850 data_time: 0.2547 memory: 17350 grad_norm: 5.4254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5329 loss: 1.5329 2022/07/23 02:08:21 - mmengine - INFO - Epoch(train) [35][2040/3757] lr: 1.0000e-02 eta: 1 day, 21:20:25 time: 0.7249 data_time: 0.3309 memory: 17350 grad_norm: 5.5360 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9694 loss: 1.9694 2022/07/23 02:08:33 - mmengine - INFO - Epoch(train) [35][2060/3757] lr: 1.0000e-02 eta: 1 day, 21:20:09 time: 0.6046 data_time: 0.2223 memory: 17350 grad_norm: 5.7824 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8614 loss: 1.8614 2022/07/23 02:08:48 - mmengine - INFO - Epoch(train) [35][2080/3757] lr: 1.0000e-02 eta: 1 day, 21:19:59 time: 0.7378 data_time: 0.3240 memory: 17350 grad_norm: 5.4355 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8202 loss: 1.8202 2022/07/23 02:09:00 - mmengine - INFO - Epoch(train) [35][2100/3757] lr: 1.0000e-02 eta: 1 day, 21:19:43 time: 0.5908 data_time: 0.2551 memory: 17350 grad_norm: 5.6228 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8409 loss: 1.8409 2022/07/23 02:09:14 - mmengine - INFO - Epoch(train) [35][2120/3757] lr: 1.0000e-02 eta: 1 day, 21:19:32 time: 0.7229 data_time: 0.3262 memory: 17350 grad_norm: 5.7717 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7645 loss: 1.7645 2022/07/23 02:09:27 - mmengine - INFO - Epoch(train) [35][2140/3757] lr: 1.0000e-02 eta: 1 day, 21:19:16 time: 0.6085 data_time: 0.1446 memory: 17350 grad_norm: 5.5442 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6223 loss: 1.6223 2022/07/23 02:09:40 - mmengine - INFO - Epoch(train) [35][2160/3757] lr: 1.0000e-02 eta: 1 day, 21:19:04 time: 0.6876 data_time: 0.2458 memory: 17350 grad_norm: 5.7419 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6922 loss: 1.6922 2022/07/23 02:09:53 - mmengine - INFO - Epoch(train) [35][2180/3757] lr: 1.0000e-02 eta: 1 day, 21:18:50 time: 0.6452 data_time: 0.1682 memory: 17350 grad_norm: 5.5028 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9172 loss: 1.9172 2022/07/23 02:10:08 - mmengine - INFO - Epoch(train) [35][2200/3757] lr: 1.0000e-02 eta: 1 day, 21:18:40 time: 0.7518 data_time: 0.2616 memory: 17350 grad_norm: 5.5880 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6406 loss: 1.6406 2022/07/23 02:10:20 - mmengine - INFO - Epoch(train) [35][2220/3757] lr: 1.0000e-02 eta: 1 day, 21:18:24 time: 0.5959 data_time: 0.2592 memory: 17350 grad_norm: 5.3837 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7891 loss: 1.7891 2022/07/23 02:10:35 - mmengine - INFO - Epoch(train) [35][2240/3757] lr: 1.0000e-02 eta: 1 day, 21:18:14 time: 0.7489 data_time: 0.4099 memory: 17350 grad_norm: 5.5055 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0576 loss: 2.0576 2022/07/23 02:10:48 - mmengine - INFO - Epoch(train) [35][2260/3757] lr: 1.0000e-02 eta: 1 day, 21:17:59 time: 0.6259 data_time: 0.2740 memory: 17350 grad_norm: 5.4841 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1331 loss: 2.1331 2022/07/23 02:10:49 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 02:11:01 - mmengine - INFO - Epoch(train) [35][2280/3757] lr: 1.0000e-02 eta: 1 day, 21:17:46 time: 0.6654 data_time: 0.2893 memory: 17350 grad_norm: 5.6054 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6355 loss: 1.6355 2022/07/23 02:11:14 - mmengine - INFO - Epoch(train) [35][2300/3757] lr: 1.0000e-02 eta: 1 day, 21:17:33 time: 0.6639 data_time: 0.2706 memory: 17350 grad_norm: 5.5974 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9434 loss: 1.9434 2022/07/23 02:11:29 - mmengine - INFO - Epoch(train) [35][2320/3757] lr: 1.0000e-02 eta: 1 day, 21:17:22 time: 0.7251 data_time: 0.3730 memory: 17350 grad_norm: 5.5509 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6878 loss: 1.6878 2022/07/23 02:11:41 - mmengine - INFO - Epoch(train) [35][2340/3757] lr: 1.0000e-02 eta: 1 day, 21:17:06 time: 0.5968 data_time: 0.2535 memory: 17350 grad_norm: 5.6524 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8906 loss: 1.8906 2022/07/23 02:11:55 - mmengine - INFO - Epoch(train) [35][2360/3757] lr: 1.0000e-02 eta: 1 day, 21:16:55 time: 0.7104 data_time: 0.3732 memory: 17350 grad_norm: 5.4206 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9647 loss: 1.9647 2022/07/23 02:12:07 - mmengine - INFO - Epoch(train) [35][2380/3757] lr: 1.0000e-02 eta: 1 day, 21:16:39 time: 0.6064 data_time: 0.2719 memory: 17350 grad_norm: 5.5734 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9708 loss: 1.9708 2022/07/23 02:12:21 - mmengine - INFO - Epoch(train) [35][2400/3757] lr: 1.0000e-02 eta: 1 day, 21:16:27 time: 0.6928 data_time: 0.3584 memory: 17350 grad_norm: 5.7229 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7965 loss: 1.7965 2022/07/23 02:12:34 - mmengine - INFO - Epoch(train) [35][2420/3757] lr: 1.0000e-02 eta: 1 day, 21:16:13 time: 0.6385 data_time: 0.2979 memory: 17350 grad_norm: 5.4872 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0287 loss: 2.0287 2022/07/23 02:12:48 - mmengine - INFO - Epoch(train) [35][2440/3757] lr: 1.0000e-02 eta: 1 day, 21:16:01 time: 0.6934 data_time: 0.3629 memory: 17350 grad_norm: 5.7088 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1182 loss: 2.1182 2022/07/23 02:13:00 - mmengine - INFO - Epoch(train) [35][2460/3757] lr: 1.0000e-02 eta: 1 day, 21:15:45 time: 0.5886 data_time: 0.2504 memory: 17350 grad_norm: 5.7495 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9451 loss: 1.9451 2022/07/23 02:13:14 - mmengine - INFO - Epoch(train) [35][2480/3757] lr: 1.0000e-02 eta: 1 day, 21:15:34 time: 0.7277 data_time: 0.3931 memory: 17350 grad_norm: 5.5777 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1463 loss: 2.1463 2022/07/23 02:13:26 - mmengine - INFO - Epoch(train) [35][2500/3757] lr: 1.0000e-02 eta: 1 day, 21:15:17 time: 0.5795 data_time: 0.2410 memory: 17350 grad_norm: 5.7860 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9252 loss: 1.9252 2022/07/23 02:13:39 - mmengine - INFO - Epoch(train) [35][2520/3757] lr: 1.0000e-02 eta: 1 day, 21:15:04 time: 0.6764 data_time: 0.2249 memory: 17350 grad_norm: 5.5814 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8495 loss: 1.8495 2022/07/23 02:13:52 - mmengine - INFO - Epoch(train) [35][2540/3757] lr: 1.0000e-02 eta: 1 day, 21:14:51 time: 0.6618 data_time: 0.2862 memory: 17350 grad_norm: 5.6744 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1546 loss: 2.1546 2022/07/23 02:14:06 - mmengine - INFO - Epoch(train) [35][2560/3757] lr: 1.0000e-02 eta: 1 day, 21:14:39 time: 0.6823 data_time: 0.3305 memory: 17350 grad_norm: 5.7887 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6377 loss: 1.6377 2022/07/23 02:14:18 - mmengine - INFO - Epoch(train) [35][2580/3757] lr: 1.0000e-02 eta: 1 day, 21:14:23 time: 0.6106 data_time: 0.2593 memory: 17350 grad_norm: 5.6189 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2516 loss: 2.2516 2022/07/23 02:14:32 - mmengine - INFO - Epoch(train) [35][2600/3757] lr: 1.0000e-02 eta: 1 day, 21:14:10 time: 0.6733 data_time: 0.3042 memory: 17350 grad_norm: 5.7063 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8126 loss: 1.8126 2022/07/23 02:14:44 - mmengine - INFO - Epoch(train) [35][2620/3757] lr: 1.0000e-02 eta: 1 day, 21:13:56 time: 0.6329 data_time: 0.2109 memory: 17350 grad_norm: 5.4714 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9245 loss: 1.9245 2022/07/23 02:14:59 - mmengine - INFO - Epoch(train) [35][2640/3757] lr: 1.0000e-02 eta: 1 day, 21:13:45 time: 0.7308 data_time: 0.2804 memory: 17350 grad_norm: 5.4651 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0116 loss: 2.0116 2022/07/23 02:15:12 - mmengine - INFO - Epoch(train) [35][2660/3757] lr: 1.0000e-02 eta: 1 day, 21:13:31 time: 0.6315 data_time: 0.2461 memory: 17350 grad_norm: 5.6369 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6357 loss: 1.6357 2022/07/23 02:15:27 - mmengine - INFO - Epoch(train) [35][2680/3757] lr: 1.0000e-02 eta: 1 day, 21:13:20 time: 0.7405 data_time: 0.3882 memory: 17350 grad_norm: 5.5403 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9799 loss: 1.9799 2022/07/23 02:15:39 - mmengine - INFO - Epoch(train) [35][2700/3757] lr: 1.0000e-02 eta: 1 day, 21:13:05 time: 0.5993 data_time: 0.2649 memory: 17350 grad_norm: 5.6062 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8503 loss: 1.8503 2022/07/23 02:15:53 - mmengine - INFO - Epoch(train) [35][2720/3757] lr: 1.0000e-02 eta: 1 day, 21:12:53 time: 0.7065 data_time: 0.3091 memory: 17350 grad_norm: 5.3333 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8871 loss: 1.8871 2022/07/23 02:16:05 - mmengine - INFO - Epoch(train) [35][2740/3757] lr: 1.0000e-02 eta: 1 day, 21:12:38 time: 0.6256 data_time: 0.1338 memory: 17350 grad_norm: 5.5270 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8279 loss: 1.8279 2022/07/23 02:16:20 - mmengine - INFO - Epoch(train) [35][2760/3757] lr: 1.0000e-02 eta: 1 day, 21:12:27 time: 0.7164 data_time: 0.1594 memory: 17350 grad_norm: 5.6666 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8788 loss: 1.8788 2022/07/23 02:16:32 - mmengine - INFO - Epoch(train) [35][2780/3757] lr: 1.0000e-02 eta: 1 day, 21:12:12 time: 0.6087 data_time: 0.0942 memory: 17350 grad_norm: 5.4594 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9845 loss: 1.9845 2022/07/23 02:16:46 - mmengine - INFO - Epoch(train) [35][2800/3757] lr: 1.0000e-02 eta: 1 day, 21:12:00 time: 0.7037 data_time: 0.1094 memory: 17350 grad_norm: 5.5248 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7757 loss: 1.7757 2022/07/23 02:16:58 - mmengine - INFO - Epoch(train) [35][2820/3757] lr: 1.0000e-02 eta: 1 day, 21:11:44 time: 0.5900 data_time: 0.1660 memory: 17350 grad_norm: 5.7559 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1182 loss: 2.1182 2022/07/23 02:17:12 - mmengine - INFO - Epoch(train) [35][2840/3757] lr: 1.0000e-02 eta: 1 day, 21:11:33 time: 0.7260 data_time: 0.2476 memory: 17350 grad_norm: 5.5862 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0192 loss: 2.0192 2022/07/23 02:17:25 - mmengine - INFO - Epoch(train) [35][2860/3757] lr: 1.0000e-02 eta: 1 day, 21:11:18 time: 0.6294 data_time: 0.1514 memory: 17350 grad_norm: 5.6147 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7774 loss: 1.7774 2022/07/23 02:17:39 - mmengine - INFO - Epoch(train) [35][2880/3757] lr: 1.0000e-02 eta: 1 day, 21:11:07 time: 0.7215 data_time: 0.3500 memory: 17350 grad_norm: 5.6815 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7392 loss: 1.7392 2022/07/23 02:17:51 - mmengine - INFO - Epoch(train) [35][2900/3757] lr: 1.0000e-02 eta: 1 day, 21:10:51 time: 0.5925 data_time: 0.2402 memory: 17350 grad_norm: 5.4151 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0083 loss: 2.0083 2022/07/23 02:18:05 - mmengine - INFO - Epoch(train) [35][2920/3757] lr: 1.0000e-02 eta: 1 day, 21:10:39 time: 0.6886 data_time: 0.2617 memory: 17350 grad_norm: 5.6554 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0164 loss: 2.0164 2022/07/23 02:18:17 - mmengine - INFO - Epoch(train) [35][2940/3757] lr: 1.0000e-02 eta: 1 day, 21:10:23 time: 0.6022 data_time: 0.1007 memory: 17350 grad_norm: 5.6434 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9019 loss: 1.9019 2022/07/23 02:18:31 - mmengine - INFO - Epoch(train) [35][2960/3757] lr: 1.0000e-02 eta: 1 day, 21:10:11 time: 0.7017 data_time: 0.1929 memory: 17350 grad_norm: 5.6544 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6597 loss: 1.6597 2022/07/23 02:18:44 - mmengine - INFO - Epoch(train) [35][2980/3757] lr: 1.0000e-02 eta: 1 day, 21:09:58 time: 0.6571 data_time: 0.1122 memory: 17350 grad_norm: 5.4816 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8714 loss: 1.8714 2022/07/23 02:18:57 - mmengine - INFO - Epoch(train) [35][3000/3757] lr: 1.0000e-02 eta: 1 day, 21:09:43 time: 0.6304 data_time: 0.0853 memory: 17350 grad_norm: 5.5581 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8159 loss: 1.8159 2022/07/23 02:19:12 - mmengine - INFO - Epoch(train) [35][3020/3757] lr: 1.0000e-02 eta: 1 day, 21:09:33 time: 0.7455 data_time: 0.0244 memory: 17350 grad_norm: 5.5502 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8976 loss: 1.8976 2022/07/23 02:19:23 - mmengine - INFO - Epoch(train) [35][3040/3757] lr: 1.0000e-02 eta: 1 day, 21:09:17 time: 0.5829 data_time: 0.0225 memory: 17350 grad_norm: 5.5453 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9264 loss: 1.9264 2022/07/23 02:19:38 - mmengine - INFO - Epoch(train) [35][3060/3757] lr: 1.0000e-02 eta: 1 day, 21:09:06 time: 0.7142 data_time: 0.0222 memory: 17350 grad_norm: 5.6913 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0309 loss: 2.0309 2022/07/23 02:19:50 - mmengine - INFO - Epoch(train) [35][3080/3757] lr: 1.0000e-02 eta: 1 day, 21:08:51 time: 0.6177 data_time: 0.0258 memory: 17350 grad_norm: 5.5979 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7634 loss: 1.7634 2022/07/23 02:20:03 - mmengine - INFO - Epoch(train) [35][3100/3757] lr: 1.0000e-02 eta: 1 day, 21:08:38 time: 0.6773 data_time: 0.0492 memory: 17350 grad_norm: 5.6583 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7293 loss: 1.7293 2022/07/23 02:20:16 - mmengine - INFO - Epoch(train) [35][3120/3757] lr: 1.0000e-02 eta: 1 day, 21:08:24 time: 0.6492 data_time: 0.0738 memory: 17350 grad_norm: 5.4241 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.8424 loss: 1.8424 2022/07/23 02:20:30 - mmengine - INFO - Epoch(train) [35][3140/3757] lr: 1.0000e-02 eta: 1 day, 21:08:12 time: 0.6859 data_time: 0.0950 memory: 17350 grad_norm: 5.5376 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9300 loss: 1.9300 2022/07/23 02:20:43 - mmengine - INFO - Epoch(train) [35][3160/3757] lr: 1.0000e-02 eta: 1 day, 21:07:57 time: 0.6411 data_time: 0.0573 memory: 17350 grad_norm: 5.6247 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9261 loss: 1.9261 2022/07/23 02:20:58 - mmengine - INFO - Epoch(train) [35][3180/3757] lr: 1.0000e-02 eta: 1 day, 21:07:47 time: 0.7282 data_time: 0.0857 memory: 17350 grad_norm: 5.4724 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0275 loss: 2.0275 2022/07/23 02:21:10 - mmengine - INFO - Epoch(train) [35][3200/3757] lr: 1.0000e-02 eta: 1 day, 21:07:31 time: 0.6023 data_time: 0.0287 memory: 17350 grad_norm: 5.6207 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0310 loss: 2.0310 2022/07/23 02:21:24 - mmengine - INFO - Epoch(train) [35][3220/3757] lr: 1.0000e-02 eta: 1 day, 21:07:20 time: 0.7248 data_time: 0.0221 memory: 17350 grad_norm: 5.3696 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8278 loss: 1.8278 2022/07/23 02:21:36 - mmengine - INFO - Epoch(train) [35][3240/3757] lr: 1.0000e-02 eta: 1 day, 21:07:03 time: 0.5729 data_time: 0.0296 memory: 17350 grad_norm: 5.5945 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6345 loss: 1.6345 2022/07/23 02:21:51 - mmengine - INFO - Epoch(train) [35][3260/3757] lr: 1.0000e-02 eta: 1 day, 21:06:54 time: 0.7683 data_time: 0.0226 memory: 17350 grad_norm: 5.5043 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7835 loss: 1.7835 2022/07/23 02:21:52 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 02:22:03 - mmengine - INFO - Epoch(train) [35][3280/3757] lr: 1.0000e-02 eta: 1 day, 21:06:38 time: 0.5859 data_time: 0.0224 memory: 17350 grad_norm: 5.4443 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8232 loss: 1.8232 2022/07/23 02:22:18 - mmengine - INFO - Epoch(train) [35][3300/3757] lr: 1.0000e-02 eta: 1 day, 21:06:28 time: 0.7489 data_time: 0.1753 memory: 17350 grad_norm: 5.4610 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6482 loss: 1.6482 2022/07/23 02:22:30 - mmengine - INFO - Epoch(train) [35][3320/3757] lr: 1.0000e-02 eta: 1 day, 21:06:13 time: 0.6356 data_time: 0.0497 memory: 17350 grad_norm: 5.4335 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9100 loss: 1.9100 2022/07/23 02:22:43 - mmengine - INFO - Epoch(train) [35][3340/3757] lr: 1.0000e-02 eta: 1 day, 21:05:58 time: 0.6075 data_time: 0.0638 memory: 17350 grad_norm: 5.5542 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8173 loss: 1.8173 2022/07/23 02:22:55 - mmengine - INFO - Epoch(train) [35][3360/3757] lr: 1.0000e-02 eta: 1 day, 21:05:44 time: 0.6405 data_time: 0.1444 memory: 17350 grad_norm: 5.5686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0640 loss: 2.0640 2022/07/23 02:23:09 - mmengine - INFO - Epoch(train) [35][3380/3757] lr: 1.0000e-02 eta: 1 day, 21:05:32 time: 0.6959 data_time: 0.1558 memory: 17350 grad_norm: 5.5721 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8976 loss: 1.8976 2022/07/23 02:23:24 - mmengine - INFO - Epoch(train) [35][3400/3757] lr: 1.0000e-02 eta: 1 day, 21:05:20 time: 0.7086 data_time: 0.3431 memory: 17350 grad_norm: 5.3344 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8964 loss: 1.8964 2022/07/23 02:23:36 - mmengine - INFO - Epoch(train) [35][3420/3757] lr: 1.0000e-02 eta: 1 day, 21:05:05 time: 0.6177 data_time: 0.2275 memory: 17350 grad_norm: 5.3265 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6146 loss: 1.6146 2022/07/23 02:23:50 - mmengine - INFO - Epoch(train) [35][3440/3757] lr: 1.0000e-02 eta: 1 day, 21:04:53 time: 0.6998 data_time: 0.3697 memory: 17350 grad_norm: 5.5927 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0238 loss: 2.0238 2022/07/23 02:24:02 - mmengine - INFO - Epoch(train) [35][3460/3757] lr: 1.0000e-02 eta: 1 day, 21:04:38 time: 0.6154 data_time: 0.2650 memory: 17350 grad_norm: 5.4616 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6412 loss: 1.6412 2022/07/23 02:24:16 - mmengine - INFO - Epoch(train) [35][3480/3757] lr: 1.0000e-02 eta: 1 day, 21:04:26 time: 0.6992 data_time: 0.3024 memory: 17350 grad_norm: 5.4653 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8429 loss: 1.8429 2022/07/23 02:24:28 - mmengine - INFO - Epoch(train) [35][3500/3757] lr: 1.0000e-02 eta: 1 day, 21:04:11 time: 0.6101 data_time: 0.2765 memory: 17350 grad_norm: 5.5992 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9779 loss: 1.9779 2022/07/23 02:24:42 - mmengine - INFO - Epoch(train) [35][3520/3757] lr: 1.0000e-02 eta: 1 day, 21:03:59 time: 0.7001 data_time: 0.3727 memory: 17350 grad_norm: 5.4926 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0179 loss: 2.0179 2022/07/23 02:24:55 - mmengine - INFO - Epoch(train) [35][3540/3757] lr: 1.0000e-02 eta: 1 day, 21:03:45 time: 0.6360 data_time: 0.3050 memory: 17350 grad_norm: 5.5956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8686 loss: 1.8686 2022/07/23 02:25:10 - mmengine - INFO - Epoch(train) [35][3560/3757] lr: 1.0000e-02 eta: 1 day, 21:03:34 time: 0.7453 data_time: 0.4178 memory: 17350 grad_norm: 5.3967 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3937 loss: 1.3937 2022/07/23 02:25:21 - mmengine - INFO - Epoch(train) [35][3580/3757] lr: 1.0000e-02 eta: 1 day, 21:03:18 time: 0.5715 data_time: 0.2007 memory: 17350 grad_norm: 5.6345 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8417 loss: 1.8417 2022/07/23 02:25:36 - mmengine - INFO - Epoch(train) [35][3600/3757] lr: 1.0000e-02 eta: 1 day, 21:03:06 time: 0.7167 data_time: 0.2778 memory: 17350 grad_norm: 5.9191 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8011 loss: 1.8011 2022/07/23 02:25:48 - mmengine - INFO - Epoch(train) [35][3620/3757] lr: 1.0000e-02 eta: 1 day, 21:02:52 time: 0.6249 data_time: 0.2417 memory: 17350 grad_norm: 5.5382 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0843 loss: 2.0843 2022/07/23 02:26:03 - mmengine - INFO - Epoch(train) [35][3640/3757] lr: 1.0000e-02 eta: 1 day, 21:02:41 time: 0.7272 data_time: 0.3492 memory: 17350 grad_norm: 5.4258 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7441 loss: 1.7441 2022/07/23 02:26:15 - mmengine - INFO - Epoch(train) [35][3660/3757] lr: 1.0000e-02 eta: 1 day, 21:02:26 time: 0.6218 data_time: 0.2502 memory: 17350 grad_norm: 5.6579 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8222 loss: 1.8222 2022/07/23 02:26:30 - mmengine - INFO - Epoch(train) [35][3680/3757] lr: 1.0000e-02 eta: 1 day, 21:02:15 time: 0.7306 data_time: 0.3894 memory: 17350 grad_norm: 5.7238 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9198 loss: 1.9198 2022/07/23 02:26:42 - mmengine - INFO - Epoch(train) [35][3700/3757] lr: 1.0000e-02 eta: 1 day, 21:02:00 time: 0.6068 data_time: 0.2462 memory: 17350 grad_norm: 5.4223 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8277 loss: 1.8277 2022/07/23 02:26:57 - mmengine - INFO - Epoch(train) [35][3720/3757] lr: 1.0000e-02 eta: 1 day, 21:01:50 time: 0.7624 data_time: 0.4122 memory: 17350 grad_norm: 5.8820 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6791 loss: 1.6791 2022/07/23 02:27:09 - mmengine - INFO - Epoch(train) [35][3740/3757] lr: 1.0000e-02 eta: 1 day, 21:01:33 time: 0.5679 data_time: 0.2338 memory: 17350 grad_norm: 5.8205 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9234 loss: 1.9234 2022/07/23 02:27:16 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 02:27:16 - mmengine - INFO - Epoch(train) [35][3757/3757] lr: 1.0000e-02 eta: 1 day, 21:01:33 time: 0.4375 data_time: 0.1044 memory: 17350 grad_norm: 5.6647 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.7600 loss: 1.7600 2022/07/23 02:27:16 - mmengine - INFO - Saving checkpoint at 35 epochs 2022/07/23 02:27:38 - mmengine - INFO - Epoch(val) [35][20/310] eta: 0:03:59 time: 0.8243 data_time: 0.7094 memory: 3406 2022/07/23 02:27:50 - mmengine - INFO - Epoch(val) [35][40/310] eta: 0:02:36 time: 0.5793 data_time: 0.4667 memory: 3406 2022/07/23 02:28:04 - mmengine - INFO - Epoch(val) [35][60/310] eta: 0:03:00 time: 0.7222 data_time: 0.6099 memory: 3406 2022/07/23 02:28:16 - mmengine - INFO - Epoch(val) [35][80/310] eta: 0:02:21 time: 0.6146 data_time: 0.4959 memory: 3406 2022/07/23 02:28:30 - mmengine - INFO - Epoch(val) [35][100/310] eta: 0:02:19 time: 0.6649 data_time: 0.5525 memory: 3406 2022/07/23 02:28:42 - mmengine - INFO - Epoch(val) [35][120/310] eta: 0:01:57 time: 0.6205 data_time: 0.5013 memory: 3406 2022/07/23 02:28:57 - mmengine - INFO - Epoch(val) [35][140/310] eta: 0:02:02 time: 0.7200 data_time: 0.6034 memory: 3406 2022/07/23 02:29:09 - mmengine - INFO - Epoch(val) [35][160/310] eta: 0:01:33 time: 0.6224 data_time: 0.5104 memory: 3406 2022/07/23 02:29:23 - mmengine - INFO - Epoch(val) [35][180/310] eta: 0:01:28 time: 0.6841 data_time: 0.5699 memory: 3406 2022/07/23 02:29:35 - mmengine - INFO - Epoch(val) [35][200/310] eta: 0:01:08 time: 0.6238 data_time: 0.5115 memory: 3406 2022/07/23 02:29:48 - mmengine - INFO - Epoch(val) [35][220/310] eta: 0:00:59 time: 0.6655 data_time: 0.5531 memory: 3406 2022/07/23 02:30:01 - mmengine - INFO - Epoch(val) [35][240/310] eta: 0:00:43 time: 0.6210 data_time: 0.5112 memory: 3406 2022/07/23 02:30:15 - mmengine - INFO - Epoch(val) [35][260/310] eta: 0:00:35 time: 0.7169 data_time: 0.6026 memory: 3406 2022/07/23 02:30:27 - mmengine - INFO - Epoch(val) [35][280/310] eta: 0:00:17 time: 0.5955 data_time: 0.4853 memory: 3406 2022/07/23 02:30:39 - mmengine - INFO - Epoch(val) [35][300/310] eta: 0:00:06 time: 0.6001 data_time: 0.4804 memory: 3406 2022/07/23 02:30:43 - mmengine - INFO - Epoch(val) [35][310/310] acc/top1: 0.5897 acc/top5: 0.8233 acc/mean1: 0.5895 2022/07/23 02:31:01 - mmengine - INFO - Epoch(train) [36][20/3757] lr: 1.0000e-02 eta: 1 day, 21:00:56 time: 0.8917 data_time: 0.5501 memory: 17350 grad_norm: 5.4260 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9672 loss: 1.9672 2022/07/23 02:31:13 - mmengine - INFO - Epoch(train) [36][40/3757] lr: 1.0000e-02 eta: 1 day, 21:00:41 time: 0.6185 data_time: 0.2496 memory: 17350 grad_norm: 5.4612 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8759 loss: 1.8759 2022/07/23 02:31:27 - mmengine - INFO - Epoch(train) [36][60/3757] lr: 1.0000e-02 eta: 1 day, 21:00:30 time: 0.7251 data_time: 0.2576 memory: 17350 grad_norm: 5.4441 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5676 loss: 1.5676 2022/07/23 02:31:39 - mmengine - INFO - Epoch(train) [36][80/3757] lr: 1.0000e-02 eta: 1 day, 21:00:14 time: 0.5830 data_time: 0.1265 memory: 17350 grad_norm: 5.4339 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6374 loss: 1.6374 2022/07/23 02:31:54 - mmengine - INFO - Epoch(train) [36][100/3757] lr: 1.0000e-02 eta: 1 day, 21:00:04 time: 0.7444 data_time: 0.1244 memory: 17350 grad_norm: 5.5275 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8644 loss: 1.8644 2022/07/23 02:32:06 - mmengine - INFO - Epoch(train) [36][120/3757] lr: 1.0000e-02 eta: 1 day, 20:59:49 time: 0.6107 data_time: 0.0378 memory: 17350 grad_norm: 5.4300 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6252 loss: 1.6252 2022/07/23 02:32:21 - mmengine - INFO - Epoch(train) [36][140/3757] lr: 1.0000e-02 eta: 1 day, 20:59:38 time: 0.7461 data_time: 0.0909 memory: 17350 grad_norm: 5.5732 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0133 loss: 2.0133 2022/07/23 02:32:33 - mmengine - INFO - Epoch(train) [36][160/3757] lr: 1.0000e-02 eta: 1 day, 20:59:23 time: 0.6106 data_time: 0.0294 memory: 17350 grad_norm: 5.4272 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8702 loss: 1.8702 2022/07/23 02:32:49 - mmengine - INFO - Epoch(train) [36][180/3757] lr: 1.0000e-02 eta: 1 day, 20:59:14 time: 0.7831 data_time: 0.0226 memory: 17350 grad_norm: 5.6436 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6290 loss: 1.6290 2022/07/23 02:33:01 - mmengine - INFO - Epoch(train) [36][200/3757] lr: 1.0000e-02 eta: 1 day, 20:58:58 time: 0.5773 data_time: 0.0228 memory: 17350 grad_norm: 5.5113 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6608 loss: 1.6608 2022/07/23 02:33:14 - mmengine - INFO - Epoch(train) [36][220/3757] lr: 1.0000e-02 eta: 1 day, 20:58:45 time: 0.6764 data_time: 0.0222 memory: 17350 grad_norm: 5.5092 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8287 loss: 1.8287 2022/07/23 02:33:26 - mmengine - INFO - Epoch(train) [36][240/3757] lr: 1.0000e-02 eta: 1 day, 20:58:29 time: 0.6015 data_time: 0.0348 memory: 17350 grad_norm: 5.5723 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6930 loss: 1.6930 2022/07/23 02:33:41 - mmengine - INFO - Epoch(train) [36][260/3757] lr: 1.0000e-02 eta: 1 day, 20:58:18 time: 0.7252 data_time: 0.0385 memory: 17350 grad_norm: 5.3098 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7870 loss: 1.7870 2022/07/23 02:33:53 - mmengine - INFO - Epoch(train) [36][280/3757] lr: 1.0000e-02 eta: 1 day, 20:58:04 time: 0.6248 data_time: 0.0546 memory: 17350 grad_norm: 5.4254 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7926 loss: 1.7926 2022/07/23 02:34:07 - mmengine - INFO - Epoch(train) [36][300/3757] lr: 1.0000e-02 eta: 1 day, 20:57:51 time: 0.6834 data_time: 0.0646 memory: 17350 grad_norm: 5.6388 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0337 loss: 2.0337 2022/07/23 02:34:19 - mmengine - INFO - Epoch(train) [36][320/3757] lr: 1.0000e-02 eta: 1 day, 20:57:36 time: 0.6029 data_time: 0.1556 memory: 17350 grad_norm: 5.5622 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7387 loss: 1.7387 2022/07/23 02:34:34 - mmengine - INFO - Epoch(train) [36][340/3757] lr: 1.0000e-02 eta: 1 day, 20:57:26 time: 0.7621 data_time: 0.2433 memory: 17350 grad_norm: 5.6045 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1132 loss: 2.1132 2022/07/23 02:34:46 - mmengine - INFO - Epoch(train) [36][360/3757] lr: 1.0000e-02 eta: 1 day, 20:57:10 time: 0.5907 data_time: 0.0769 memory: 17350 grad_norm: 5.6312 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7065 loss: 1.7065 2022/07/23 02:35:01 - mmengine - INFO - Epoch(train) [36][380/3757] lr: 1.0000e-02 eta: 1 day, 20:57:00 time: 0.7390 data_time: 0.0762 memory: 17350 grad_norm: 5.4442 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7659 loss: 1.7659 2022/07/23 02:35:13 - mmengine - INFO - Epoch(train) [36][400/3757] lr: 1.0000e-02 eta: 1 day, 20:56:44 time: 0.6088 data_time: 0.0234 memory: 17350 grad_norm: 5.6120 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9259 loss: 1.9259 2022/07/23 02:35:28 - mmengine - INFO - Epoch(train) [36][420/3757] lr: 1.0000e-02 eta: 1 day, 20:56:33 time: 0.7269 data_time: 0.0232 memory: 17350 grad_norm: 5.5979 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1508 loss: 2.1508 2022/07/23 02:35:39 - mmengine - INFO - Epoch(train) [36][440/3757] lr: 1.0000e-02 eta: 1 day, 20:56:18 time: 0.5989 data_time: 0.0227 memory: 17350 grad_norm: 5.5147 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7708 loss: 1.7708 2022/07/23 02:35:54 - mmengine - INFO - Epoch(train) [36][460/3757] lr: 1.0000e-02 eta: 1 day, 20:56:06 time: 0.7125 data_time: 0.0227 memory: 17350 grad_norm: 5.4346 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9451 loss: 1.9451 2022/07/23 02:36:07 - mmengine - INFO - Epoch(train) [36][480/3757] lr: 1.0000e-02 eta: 1 day, 20:55:52 time: 0.6517 data_time: 0.0349 memory: 17350 grad_norm: 5.8370 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8487 loss: 1.8487 2022/07/23 02:36:21 - mmengine - INFO - Epoch(train) [36][500/3757] lr: 1.0000e-02 eta: 1 day, 20:55:41 time: 0.7214 data_time: 0.0227 memory: 17350 grad_norm: 5.4484 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7710 loss: 1.7710 2022/07/23 02:36:24 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 02:36:33 - mmengine - INFO - Epoch(train) [36][520/3757] lr: 1.0000e-02 eta: 1 day, 20:55:26 time: 0.6007 data_time: 0.0255 memory: 17350 grad_norm: 5.5855 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7278 loss: 1.7278 2022/07/23 02:36:48 - mmengine - INFO - Epoch(train) [36][540/3757] lr: 1.0000e-02 eta: 1 day, 20:55:15 time: 0.7428 data_time: 0.0221 memory: 17350 grad_norm: 5.6739 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9431 loss: 1.9431 2022/07/23 02:37:01 - mmengine - INFO - Epoch(train) [36][560/3757] lr: 1.0000e-02 eta: 1 day, 20:55:01 time: 0.6237 data_time: 0.0229 memory: 17350 grad_norm: 5.4798 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7668 loss: 1.7668 2022/07/23 02:37:15 - mmengine - INFO - Epoch(train) [36][580/3757] lr: 1.0000e-02 eta: 1 day, 20:54:49 time: 0.7058 data_time: 0.0226 memory: 17350 grad_norm: 5.5315 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8618 loss: 1.8618 2022/07/23 02:37:26 - mmengine - INFO - Epoch(train) [36][600/3757] lr: 1.0000e-02 eta: 1 day, 20:54:32 time: 0.5768 data_time: 0.0273 memory: 17350 grad_norm: 5.7203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1146 loss: 2.1146 2022/07/23 02:37:41 - mmengine - INFO - Epoch(train) [36][620/3757] lr: 1.0000e-02 eta: 1 day, 20:54:21 time: 0.7246 data_time: 0.0231 memory: 17350 grad_norm: 5.6810 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8020 loss: 1.8020 2022/07/23 02:37:53 - mmengine - INFO - Epoch(train) [36][640/3757] lr: 1.0000e-02 eta: 1 day, 20:54:06 time: 0.6096 data_time: 0.0222 memory: 17350 grad_norm: 5.6788 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0497 loss: 2.0497 2022/07/23 02:38:07 - mmengine - INFO - Epoch(train) [36][660/3757] lr: 1.0000e-02 eta: 1 day, 20:53:54 time: 0.6857 data_time: 0.0248 memory: 17350 grad_norm: 5.6183 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6071 loss: 1.6071 2022/07/23 02:38:19 - mmengine - INFO - Epoch(train) [36][680/3757] lr: 1.0000e-02 eta: 1 day, 20:53:38 time: 0.5943 data_time: 0.0237 memory: 17350 grad_norm: 5.6866 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5720 loss: 1.5720 2022/07/23 02:38:33 - mmengine - INFO - Epoch(train) [36][700/3757] lr: 1.0000e-02 eta: 1 day, 20:53:26 time: 0.7119 data_time: 0.0220 memory: 17350 grad_norm: 5.5507 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5343 loss: 1.5343 2022/07/23 02:38:45 - mmengine - INFO - Epoch(train) [36][720/3757] lr: 1.0000e-02 eta: 1 day, 20:53:11 time: 0.6091 data_time: 0.0242 memory: 17350 grad_norm: 5.5333 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1968 loss: 2.1968 2022/07/23 02:39:00 - mmengine - INFO - Epoch(train) [36][740/3757] lr: 1.0000e-02 eta: 1 day, 20:53:01 time: 0.7557 data_time: 0.0211 memory: 17350 grad_norm: 5.5099 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7179 loss: 1.7179 2022/07/23 02:39:12 - mmengine - INFO - Epoch(train) [36][760/3757] lr: 1.0000e-02 eta: 1 day, 20:52:45 time: 0.5887 data_time: 0.0233 memory: 17350 grad_norm: 5.3796 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7946 loss: 1.7946 2022/07/23 02:39:26 - mmengine - INFO - Epoch(train) [36][780/3757] lr: 1.0000e-02 eta: 1 day, 20:52:34 time: 0.7151 data_time: 0.0238 memory: 17350 grad_norm: 5.7306 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7345 loss: 1.7345 2022/07/23 02:39:39 - mmengine - INFO - Epoch(train) [36][800/3757] lr: 1.0000e-02 eta: 1 day, 20:52:20 time: 0.6476 data_time: 0.0232 memory: 17350 grad_norm: 5.7078 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9150 loss: 1.9150 2022/07/23 02:39:53 - mmengine - INFO - Epoch(train) [36][820/3757] lr: 1.0000e-02 eta: 1 day, 20:52:07 time: 0.6665 data_time: 0.0215 memory: 17350 grad_norm: 5.5600 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9881 loss: 1.9881 2022/07/23 02:40:06 - mmengine - INFO - Epoch(train) [36][840/3757] lr: 1.0000e-02 eta: 1 day, 20:51:55 time: 0.6946 data_time: 0.0226 memory: 17350 grad_norm: 5.6122 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8189 loss: 1.8189 2022/07/23 02:40:20 - mmengine - INFO - Epoch(train) [36][860/3757] lr: 1.0000e-02 eta: 1 day, 20:51:43 time: 0.6980 data_time: 0.0229 memory: 17350 grad_norm: 5.6441 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1161 loss: 2.1161 2022/07/23 02:40:34 - mmengine - INFO - Epoch(train) [36][880/3757] lr: 1.0000e-02 eta: 1 day, 20:51:31 time: 0.7028 data_time: 0.0219 memory: 17350 grad_norm: 5.5336 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6864 loss: 1.6864 2022/07/23 02:40:47 - mmengine - INFO - Epoch(train) [36][900/3757] lr: 1.0000e-02 eta: 1 day, 20:51:17 time: 0.6371 data_time: 0.0254 memory: 17350 grad_norm: 5.5673 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4479 loss: 1.4479 2022/07/23 02:41:00 - mmengine - INFO - Epoch(train) [36][920/3757] lr: 1.0000e-02 eta: 1 day, 20:51:03 time: 0.6558 data_time: 0.0245 memory: 17350 grad_norm: 5.5375 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8671 loss: 1.8671 2022/07/23 02:41:14 - mmengine - INFO - Epoch(train) [36][940/3757] lr: 1.0000e-02 eta: 1 day, 20:50:50 time: 0.6752 data_time: 0.0232 memory: 17350 grad_norm: 5.4895 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4974 loss: 1.4974 2022/07/23 02:41:26 - mmengine - INFO - Epoch(train) [36][960/3757] lr: 1.0000e-02 eta: 1 day, 20:50:35 time: 0.6204 data_time: 0.0234 memory: 17350 grad_norm: 5.6451 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0048 loss: 2.0048 2022/07/23 02:41:41 - mmengine - INFO - Epoch(train) [36][980/3757] lr: 1.0000e-02 eta: 1 day, 20:50:24 time: 0.7133 data_time: 0.0230 memory: 17350 grad_norm: 5.3125 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6965 loss: 1.6965 2022/07/23 02:41:53 - mmengine - INFO - Epoch(train) [36][1000/3757] lr: 1.0000e-02 eta: 1 day, 20:50:08 time: 0.6051 data_time: 0.0254 memory: 17350 grad_norm: 5.4155 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5888 loss: 1.5888 2022/07/23 02:42:07 - mmengine - INFO - Epoch(train) [36][1020/3757] lr: 1.0000e-02 eta: 1 day, 20:49:57 time: 0.7240 data_time: 0.0215 memory: 17350 grad_norm: 5.4638 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0661 loss: 2.0661 2022/07/23 02:42:19 - mmengine - INFO - Epoch(train) [36][1040/3757] lr: 1.0000e-02 eta: 1 day, 20:49:42 time: 0.6100 data_time: 0.0225 memory: 17350 grad_norm: 5.6556 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7091 loss: 1.7091 2022/07/23 02:42:33 - mmengine - INFO - Epoch(train) [36][1060/3757] lr: 1.0000e-02 eta: 1 day, 20:49:30 time: 0.6961 data_time: 0.0209 memory: 17350 grad_norm: 5.5910 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7590 loss: 1.7590 2022/07/23 02:42:45 - mmengine - INFO - Epoch(train) [36][1080/3757] lr: 1.0000e-02 eta: 1 day, 20:49:15 time: 0.6035 data_time: 0.0227 memory: 17350 grad_norm: 5.4358 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8027 loss: 1.8027 2022/07/23 02:43:00 - mmengine - INFO - Epoch(train) [36][1100/3757] lr: 1.0000e-02 eta: 1 day, 20:49:04 time: 0.7306 data_time: 0.0218 memory: 17350 grad_norm: 5.4218 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8113 loss: 1.8113 2022/07/23 02:43:12 - mmengine - INFO - Epoch(train) [36][1120/3757] lr: 1.0000e-02 eta: 1 day, 20:48:48 time: 0.6034 data_time: 0.0234 memory: 17350 grad_norm: 5.4905 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8467 loss: 1.8467 2022/07/23 02:43:26 - mmengine - INFO - Epoch(train) [36][1140/3757] lr: 1.0000e-02 eta: 1 day, 20:48:37 time: 0.7199 data_time: 0.0231 memory: 17350 grad_norm: 5.7493 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7521 loss: 1.7521 2022/07/23 02:43:39 - mmengine - INFO - Epoch(train) [36][1160/3757] lr: 1.0000e-02 eta: 1 day, 20:48:22 time: 0.6110 data_time: 0.0223 memory: 17350 grad_norm: 5.5329 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8945 loss: 1.8945 2022/07/23 02:43:54 - mmengine - INFO - Epoch(train) [36][1180/3757] lr: 1.0000e-02 eta: 1 day, 20:48:11 time: 0.7436 data_time: 0.0236 memory: 17350 grad_norm: 5.4520 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2279 loss: 2.2279 2022/07/23 02:44:06 - mmengine - INFO - Epoch(train) [36][1200/3757] lr: 1.0000e-02 eta: 1 day, 20:47:57 time: 0.6251 data_time: 0.0239 memory: 17350 grad_norm: 5.5741 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9123 loss: 1.9123 2022/07/23 02:44:21 - mmengine - INFO - Epoch(train) [36][1220/3757] lr: 1.0000e-02 eta: 1 day, 20:47:46 time: 0.7210 data_time: 0.0217 memory: 17350 grad_norm: 5.4935 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5950 loss: 1.5950 2022/07/23 02:44:32 - mmengine - INFO - Epoch(train) [36][1240/3757] lr: 1.0000e-02 eta: 1 day, 20:47:30 time: 0.5912 data_time: 0.0214 memory: 17350 grad_norm: 5.3667 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7064 loss: 1.7064 2022/07/23 02:44:47 - mmengine - INFO - Epoch(train) [36][1260/3757] lr: 1.0000e-02 eta: 1 day, 20:47:19 time: 0.7428 data_time: 0.0223 memory: 17350 grad_norm: 5.4934 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0648 loss: 2.0648 2022/07/23 02:44:59 - mmengine - INFO - Epoch(train) [36][1280/3757] lr: 1.0000e-02 eta: 1 day, 20:47:04 time: 0.6042 data_time: 0.0235 memory: 17350 grad_norm: 5.4433 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8587 loss: 1.8587 2022/07/23 02:45:14 - mmengine - INFO - Epoch(train) [36][1300/3757] lr: 1.0000e-02 eta: 1 day, 20:46:53 time: 0.7340 data_time: 0.0217 memory: 17350 grad_norm: 5.6738 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0229 loss: 2.0229 2022/07/23 02:45:26 - mmengine - INFO - Epoch(train) [36][1320/3757] lr: 1.0000e-02 eta: 1 day, 20:46:37 time: 0.5818 data_time: 0.0229 memory: 17350 grad_norm: 5.7020 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7616 loss: 1.7616 2022/07/23 02:45:40 - mmengine - INFO - Epoch(train) [36][1340/3757] lr: 1.0000e-02 eta: 1 day, 20:46:26 time: 0.7284 data_time: 0.0215 memory: 17350 grad_norm: 5.6588 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7485 loss: 1.7485 2022/07/23 02:45:52 - mmengine - INFO - Epoch(train) [36][1360/3757] lr: 1.0000e-02 eta: 1 day, 20:46:10 time: 0.5962 data_time: 0.0281 memory: 17350 grad_norm: 5.5318 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9157 loss: 1.9157 2022/07/23 02:46:07 - mmengine - INFO - Epoch(train) [36][1380/3757] lr: 1.0000e-02 eta: 1 day, 20:46:00 time: 0.7426 data_time: 0.0249 memory: 17350 grad_norm: 5.7519 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6624 loss: 1.6624 2022/07/23 02:46:19 - mmengine - INFO - Epoch(train) [36][1400/3757] lr: 1.0000e-02 eta: 1 day, 20:45:44 time: 0.6072 data_time: 0.0239 memory: 17350 grad_norm: 5.4355 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8134 loss: 1.8134 2022/07/23 02:46:33 - mmengine - INFO - Epoch(train) [36][1420/3757] lr: 1.0000e-02 eta: 1 day, 20:45:32 time: 0.6904 data_time: 0.0236 memory: 17350 grad_norm: 5.4545 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6819 loss: 1.6819 2022/07/23 02:46:46 - mmengine - INFO - Epoch(train) [36][1440/3757] lr: 1.0000e-02 eta: 1 day, 20:45:18 time: 0.6328 data_time: 0.0225 memory: 17350 grad_norm: 5.5197 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5326 loss: 1.5326 2022/07/23 02:47:00 - mmengine - INFO - Epoch(train) [36][1460/3757] lr: 1.0000e-02 eta: 1 day, 20:45:07 time: 0.7383 data_time: 0.0233 memory: 17350 grad_norm: 5.4792 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7689 loss: 1.7689 2022/07/23 02:47:13 - mmengine - INFO - Epoch(train) [36][1480/3757] lr: 1.0000e-02 eta: 1 day, 20:44:52 time: 0.6193 data_time: 0.0219 memory: 17350 grad_norm: 5.2426 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8658 loss: 1.8658 2022/07/23 02:47:26 - mmengine - INFO - Epoch(train) [36][1500/3757] lr: 1.0000e-02 eta: 1 day, 20:44:39 time: 0.6501 data_time: 0.0222 memory: 17350 grad_norm: 5.4039 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7824 loss: 1.7824 2022/07/23 02:47:30 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 02:47:38 - mmengine - INFO - Epoch(train) [36][1520/3757] lr: 1.0000e-02 eta: 1 day, 20:44:23 time: 0.6091 data_time: 0.0244 memory: 17350 grad_norm: 5.6297 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8619 loss: 1.8619 2022/07/23 02:47:53 - mmengine - INFO - Epoch(train) [36][1540/3757] lr: 1.0000e-02 eta: 1 day, 20:44:13 time: 0.7354 data_time: 0.0216 memory: 17350 grad_norm: 5.5887 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.7994 loss: 1.7994 2022/07/23 02:48:05 - mmengine - INFO - Epoch(train) [36][1560/3757] lr: 1.0000e-02 eta: 1 day, 20:43:57 time: 0.6032 data_time: 0.0269 memory: 17350 grad_norm: 5.5573 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6902 loss: 1.6902 2022/07/23 02:48:19 - mmengine - INFO - Epoch(train) [36][1580/3757] lr: 1.0000e-02 eta: 1 day, 20:43:45 time: 0.7068 data_time: 0.0220 memory: 17350 grad_norm: 5.4878 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7777 loss: 1.7777 2022/07/23 02:48:32 - mmengine - INFO - Epoch(train) [36][1600/3757] lr: 1.0000e-02 eta: 1 day, 20:43:32 time: 0.6470 data_time: 0.0217 memory: 17350 grad_norm: 5.5024 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5482 loss: 1.5482 2022/07/23 02:48:46 - mmengine - INFO - Epoch(train) [36][1620/3757] lr: 1.0000e-02 eta: 1 day, 20:43:19 time: 0.6819 data_time: 0.0252 memory: 17350 grad_norm: 6.0499 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9539 loss: 1.9539 2022/07/23 02:48:58 - mmengine - INFO - Epoch(train) [36][1640/3757] lr: 1.0000e-02 eta: 1 day, 20:43:04 time: 0.6202 data_time: 0.0258 memory: 17350 grad_norm: 5.4892 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9172 loss: 1.9172 2022/07/23 02:49:13 - mmengine - INFO - Epoch(train) [36][1660/3757] lr: 1.0000e-02 eta: 1 day, 20:42:54 time: 0.7474 data_time: 0.0236 memory: 17350 grad_norm: 5.7163 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1879 loss: 2.1879 2022/07/23 02:49:25 - mmengine - INFO - Epoch(train) [36][1680/3757] lr: 1.0000e-02 eta: 1 day, 20:42:38 time: 0.6010 data_time: 0.0251 memory: 17350 grad_norm: 5.6726 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9786 loss: 1.9786 2022/07/23 02:49:40 - mmengine - INFO - Epoch(train) [36][1700/3757] lr: 1.0000e-02 eta: 1 day, 20:42:28 time: 0.7322 data_time: 0.0260 memory: 17350 grad_norm: 5.3700 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7276 loss: 1.7276 2022/07/23 02:49:52 - mmengine - INFO - Epoch(train) [36][1720/3757] lr: 1.0000e-02 eta: 1 day, 20:42:12 time: 0.6143 data_time: 0.0298 memory: 17350 grad_norm: 5.6063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7147 loss: 1.7147 2022/07/23 02:50:07 - mmengine - INFO - Epoch(train) [36][1740/3757] lr: 1.0000e-02 eta: 1 day, 20:42:02 time: 0.7531 data_time: 0.0228 memory: 17350 grad_norm: 5.5539 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9207 loss: 1.9207 2022/07/23 02:50:19 - mmengine - INFO - Epoch(train) [36][1760/3757] lr: 1.0000e-02 eta: 1 day, 20:41:47 time: 0.5961 data_time: 0.0229 memory: 17350 grad_norm: 5.4827 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7115 loss: 1.7115 2022/07/23 02:50:34 - mmengine - INFO - Epoch(train) [36][1780/3757] lr: 1.0000e-02 eta: 1 day, 20:41:37 time: 0.7560 data_time: 0.0231 memory: 17350 grad_norm: 5.6643 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1296 loss: 2.1296 2022/07/23 02:50:46 - mmengine - INFO - Epoch(train) [36][1800/3757] lr: 1.0000e-02 eta: 1 day, 20:41:21 time: 0.5820 data_time: 0.0215 memory: 17350 grad_norm: 5.7532 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8931 loss: 1.8931 2022/07/23 02:51:01 - mmengine - INFO - Epoch(train) [36][1820/3757] lr: 1.0000e-02 eta: 1 day, 20:41:11 time: 0.7634 data_time: 0.0231 memory: 17350 grad_norm: 5.5880 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0032 loss: 2.0032 2022/07/23 02:51:12 - mmengine - INFO - Epoch(train) [36][1840/3757] lr: 1.0000e-02 eta: 1 day, 20:40:54 time: 0.5714 data_time: 0.0236 memory: 17350 grad_norm: 5.5634 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2901 loss: 2.2901 2022/07/23 02:51:27 - mmengine - INFO - Epoch(train) [36][1860/3757] lr: 1.0000e-02 eta: 1 day, 20:40:43 time: 0.7232 data_time: 0.0219 memory: 17350 grad_norm: 5.3508 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6998 loss: 1.6998 2022/07/23 02:51:39 - mmengine - INFO - Epoch(train) [36][1880/3757] lr: 1.0000e-02 eta: 1 day, 20:40:28 time: 0.6180 data_time: 0.0229 memory: 17350 grad_norm: 5.3887 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9279 loss: 1.9279 2022/07/23 02:51:53 - mmengine - INFO - Epoch(train) [36][1900/3757] lr: 1.0000e-02 eta: 1 day, 20:40:17 time: 0.7111 data_time: 0.0269 memory: 17350 grad_norm: 5.5778 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9038 loss: 1.9038 2022/07/23 02:52:05 - mmengine - INFO - Epoch(train) [36][1920/3757] lr: 1.0000e-02 eta: 1 day, 20:40:00 time: 0.5819 data_time: 0.0245 memory: 17350 grad_norm: 5.7680 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9602 loss: 1.9602 2022/07/23 02:52:20 - mmengine - INFO - Epoch(train) [36][1940/3757] lr: 1.0000e-02 eta: 1 day, 20:39:50 time: 0.7429 data_time: 0.0249 memory: 17350 grad_norm: 5.5911 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4510 loss: 2.4510 2022/07/23 02:52:32 - mmengine - INFO - Epoch(train) [36][1960/3757] lr: 1.0000e-02 eta: 1 day, 20:39:34 time: 0.5973 data_time: 0.0227 memory: 17350 grad_norm: 5.4684 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6518 loss: 1.6518 2022/07/23 02:52:47 - mmengine - INFO - Epoch(train) [36][1980/3757] lr: 1.0000e-02 eta: 1 day, 20:39:24 time: 0.7352 data_time: 0.0599 memory: 17350 grad_norm: 5.6239 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7603 loss: 1.7603 2022/07/23 02:52:58 - mmengine - INFO - Epoch(train) [36][2000/3757] lr: 1.0000e-02 eta: 1 day, 20:39:08 time: 0.5915 data_time: 0.1054 memory: 17350 grad_norm: 5.4774 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8863 loss: 1.8863 2022/07/23 02:53:13 - mmengine - INFO - Epoch(train) [36][2020/3757] lr: 1.0000e-02 eta: 1 day, 20:38:57 time: 0.7341 data_time: 0.1995 memory: 17350 grad_norm: 5.5527 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7079 loss: 1.7079 2022/07/23 02:53:25 - mmengine - INFO - Epoch(train) [36][2040/3757] lr: 1.0000e-02 eta: 1 day, 20:38:40 time: 0.5710 data_time: 0.0745 memory: 17350 grad_norm: 5.5310 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0451 loss: 2.0451 2022/07/23 02:53:39 - mmengine - INFO - Epoch(train) [36][2060/3757] lr: 1.0000e-02 eta: 1 day, 20:38:30 time: 0.7390 data_time: 0.0583 memory: 17350 grad_norm: 5.4783 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8907 loss: 1.8907 2022/07/23 02:53:51 - mmengine - INFO - Epoch(train) [36][2080/3757] lr: 1.0000e-02 eta: 1 day, 20:38:14 time: 0.5997 data_time: 0.0743 memory: 17350 grad_norm: 5.5683 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8196 loss: 1.8196 2022/07/23 02:54:06 - mmengine - INFO - Epoch(train) [36][2100/3757] lr: 1.0000e-02 eta: 1 day, 20:38:04 time: 0.7401 data_time: 0.1867 memory: 17350 grad_norm: 5.3078 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7489 loss: 1.7489 2022/07/23 02:54:18 - mmengine - INFO - Epoch(train) [36][2120/3757] lr: 1.0000e-02 eta: 1 day, 20:37:48 time: 0.6068 data_time: 0.1645 memory: 17350 grad_norm: 5.5407 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9691 loss: 1.9691 2022/07/23 02:54:32 - mmengine - INFO - Epoch(train) [36][2140/3757] lr: 1.0000e-02 eta: 1 day, 20:37:36 time: 0.6994 data_time: 0.2733 memory: 17350 grad_norm: 5.4136 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2297 loss: 2.2297 2022/07/23 02:54:45 - mmengine - INFO - Epoch(train) [36][2160/3757] lr: 1.0000e-02 eta: 1 day, 20:37:22 time: 0.6429 data_time: 0.1679 memory: 17350 grad_norm: 5.4873 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1130 loss: 2.1130 2022/07/23 02:55:00 - mmengine - INFO - Epoch(train) [36][2180/3757] lr: 1.0000e-02 eta: 1 day, 20:37:11 time: 0.7230 data_time: 0.0476 memory: 17350 grad_norm: 5.5661 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5643 loss: 1.5643 2022/07/23 02:55:12 - mmengine - INFO - Epoch(train) [36][2200/3757] lr: 1.0000e-02 eta: 1 day, 20:36:57 time: 0.6215 data_time: 0.1538 memory: 17350 grad_norm: 5.4768 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6683 loss: 1.6683 2022/07/23 02:55:27 - mmengine - INFO - Epoch(train) [36][2220/3757] lr: 1.0000e-02 eta: 1 day, 20:36:46 time: 0.7461 data_time: 0.1407 memory: 17350 grad_norm: 5.3123 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0428 loss: 2.0428 2022/07/23 02:55:39 - mmengine - INFO - Epoch(train) [36][2240/3757] lr: 1.0000e-02 eta: 1 day, 20:36:30 time: 0.5926 data_time: 0.0423 memory: 17350 grad_norm: 5.5925 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9389 loss: 1.9389 2022/07/23 02:55:53 - mmengine - INFO - Epoch(train) [36][2260/3757] lr: 1.0000e-02 eta: 1 day, 20:36:19 time: 0.7272 data_time: 0.0202 memory: 17350 grad_norm: 5.6206 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7036 loss: 1.7036 2022/07/23 02:56:05 - mmengine - INFO - Epoch(train) [36][2280/3757] lr: 1.0000e-02 eta: 1 day, 20:36:03 time: 0.5738 data_time: 0.0333 memory: 17350 grad_norm: 5.5372 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6578 loss: 1.6578 2022/07/23 02:56:19 - mmengine - INFO - Epoch(train) [36][2300/3757] lr: 1.0000e-02 eta: 1 day, 20:35:52 time: 0.7193 data_time: 0.1252 memory: 17350 grad_norm: 5.5917 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0368 loss: 2.0368 2022/07/23 02:56:31 - mmengine - INFO - Epoch(train) [36][2320/3757] lr: 1.0000e-02 eta: 1 day, 20:35:36 time: 0.5918 data_time: 0.0558 memory: 17350 grad_norm: 5.5345 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1563 loss: 2.1563 2022/07/23 02:56:46 - mmengine - INFO - Epoch(train) [36][2340/3757] lr: 1.0000e-02 eta: 1 day, 20:35:25 time: 0.7301 data_time: 0.0933 memory: 17350 grad_norm: 5.6044 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8701 loss: 1.8701 2022/07/23 02:56:58 - mmengine - INFO - Epoch(train) [36][2360/3757] lr: 1.0000e-02 eta: 1 day, 20:35:10 time: 0.6230 data_time: 0.0687 memory: 17350 grad_norm: 5.5345 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9112 loss: 1.9112 2022/07/23 02:57:13 - mmengine - INFO - Epoch(train) [36][2380/3757] lr: 1.0000e-02 eta: 1 day, 20:34:59 time: 0.7159 data_time: 0.0393 memory: 17350 grad_norm: 5.4857 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9683 loss: 1.9683 2022/07/23 02:57:25 - mmengine - INFO - Epoch(train) [36][2400/3757] lr: 1.0000e-02 eta: 1 day, 20:34:44 time: 0.6177 data_time: 0.0255 memory: 17350 grad_norm: 5.4871 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 1.6092 loss: 1.6092 2022/07/23 02:57:39 - mmengine - INFO - Epoch(train) [36][2420/3757] lr: 1.0000e-02 eta: 1 day, 20:34:32 time: 0.7098 data_time: 0.0229 memory: 17350 grad_norm: 5.3370 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0334 loss: 2.0334 2022/07/23 02:57:51 - mmengine - INFO - Epoch(train) [36][2440/3757] lr: 1.0000e-02 eta: 1 day, 20:34:16 time: 0.5846 data_time: 0.0233 memory: 17350 grad_norm: 5.5045 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7343 loss: 1.7343 2022/07/23 02:58:05 - mmengine - INFO - Epoch(train) [36][2460/3757] lr: 1.0000e-02 eta: 1 day, 20:34:05 time: 0.7276 data_time: 0.0268 memory: 17350 grad_norm: 5.5042 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9118 loss: 1.9118 2022/07/23 02:58:18 - mmengine - INFO - Epoch(train) [36][2480/3757] lr: 1.0000e-02 eta: 1 day, 20:33:50 time: 0.6249 data_time: 0.0247 memory: 17350 grad_norm: 5.4983 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7828 loss: 1.7828 2022/07/23 02:58:32 - mmengine - INFO - Epoch(train) [36][2500/3757] lr: 1.0000e-02 eta: 1 day, 20:33:38 time: 0.7011 data_time: 0.0226 memory: 17350 grad_norm: 5.5749 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8138 loss: 1.8138 2022/07/23 02:58:34 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 02:58:43 - mmengine - INFO - Epoch(train) [36][2520/3757] lr: 1.0000e-02 eta: 1 day, 20:33:22 time: 0.5744 data_time: 0.0216 memory: 17350 grad_norm: 5.5533 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8240 loss: 1.8240 2022/07/23 02:58:58 - mmengine - INFO - Epoch(train) [36][2540/3757] lr: 1.0000e-02 eta: 1 day, 20:33:10 time: 0.7118 data_time: 0.0370 memory: 17350 grad_norm: 5.6255 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5768 loss: 1.5768 2022/07/23 02:59:10 - mmengine - INFO - Epoch(train) [36][2560/3757] lr: 1.0000e-02 eta: 1 day, 20:32:55 time: 0.6045 data_time: 0.0337 memory: 17350 grad_norm: 5.5442 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7361 loss: 1.7361 2022/07/23 02:59:25 - mmengine - INFO - Epoch(train) [36][2580/3757] lr: 1.0000e-02 eta: 1 day, 20:32:44 time: 0.7379 data_time: 0.1264 memory: 17350 grad_norm: 5.5666 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1019 loss: 2.1019 2022/07/23 02:59:37 - mmengine - INFO - Epoch(train) [36][2600/3757] lr: 1.0000e-02 eta: 1 day, 20:32:29 time: 0.6088 data_time: 0.0271 memory: 17350 grad_norm: 5.6818 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9266 loss: 1.9266 2022/07/23 02:59:52 - mmengine - INFO - Epoch(train) [36][2620/3757] lr: 1.0000e-02 eta: 1 day, 20:32:19 time: 0.7433 data_time: 0.0262 memory: 17350 grad_norm: 5.6122 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8367 loss: 1.8367 2022/07/23 03:00:05 - mmengine - INFO - Epoch(train) [36][2640/3757] lr: 1.0000e-02 eta: 1 day, 20:32:05 time: 0.6450 data_time: 0.0234 memory: 17350 grad_norm: 5.6037 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9782 loss: 1.9782 2022/07/23 03:00:20 - mmengine - INFO - Epoch(train) [36][2660/3757] lr: 1.0000e-02 eta: 1 day, 20:31:56 time: 0.7838 data_time: 0.0223 memory: 17350 grad_norm: 5.7412 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8351 loss: 1.8351 2022/07/23 03:00:32 - mmengine - INFO - Epoch(train) [36][2680/3757] lr: 1.0000e-02 eta: 1 day, 20:31:40 time: 0.5860 data_time: 0.0227 memory: 17350 grad_norm: 5.4682 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6583 loss: 1.6583 2022/07/23 03:00:46 - mmengine - INFO - Epoch(train) [36][2700/3757] lr: 1.0000e-02 eta: 1 day, 20:31:28 time: 0.7084 data_time: 0.0233 memory: 17350 grad_norm: 5.5853 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8084 loss: 1.8084 2022/07/23 03:00:58 - mmengine - INFO - Epoch(train) [36][2720/3757] lr: 1.0000e-02 eta: 1 day, 20:31:12 time: 0.5854 data_time: 0.0213 memory: 17350 grad_norm: 5.4754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8997 loss: 1.8997 2022/07/23 03:01:12 - mmengine - INFO - Epoch(train) [36][2740/3757] lr: 1.0000e-02 eta: 1 day, 20:31:01 time: 0.7114 data_time: 0.0386 memory: 17350 grad_norm: 5.4907 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7416 loss: 1.7416 2022/07/23 03:01:24 - mmengine - INFO - Epoch(train) [36][2760/3757] lr: 1.0000e-02 eta: 1 day, 20:30:45 time: 0.6030 data_time: 0.1620 memory: 17350 grad_norm: 5.5060 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6314 loss: 1.6314 2022/07/23 03:01:38 - mmengine - INFO - Epoch(train) [36][2780/3757] lr: 1.0000e-02 eta: 1 day, 20:30:32 time: 0.6813 data_time: 0.0225 memory: 17350 grad_norm: 5.6485 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6564 loss: 1.6564 2022/07/23 03:01:50 - mmengine - INFO - Epoch(train) [36][2800/3757] lr: 1.0000e-02 eta: 1 day, 20:30:18 time: 0.6265 data_time: 0.0197 memory: 17350 grad_norm: 5.6644 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7982 loss: 1.7982 2022/07/23 03:02:05 - mmengine - INFO - Epoch(train) [36][2820/3757] lr: 1.0000e-02 eta: 1 day, 20:30:08 time: 0.7521 data_time: 0.0224 memory: 17350 grad_norm: 5.6103 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8157 loss: 1.8157 2022/07/23 03:02:17 - mmengine - INFO - Epoch(train) [36][2840/3757] lr: 1.0000e-02 eta: 1 day, 20:29:52 time: 0.5982 data_time: 0.0222 memory: 17350 grad_norm: 5.4766 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9335 loss: 1.9335 2022/07/23 03:02:32 - mmengine - INFO - Epoch(train) [36][2860/3757] lr: 1.0000e-02 eta: 1 day, 20:29:41 time: 0.7193 data_time: 0.0239 memory: 17350 grad_norm: 5.4795 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7280 loss: 1.7280 2022/07/23 03:02:44 - mmengine - INFO - Epoch(train) [36][2880/3757] lr: 1.0000e-02 eta: 1 day, 20:29:25 time: 0.6052 data_time: 0.0227 memory: 17350 grad_norm: 5.6980 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8032 loss: 1.8032 2022/07/23 03:02:57 - mmengine - INFO - Epoch(train) [36][2900/3757] lr: 1.0000e-02 eta: 1 day, 20:29:13 time: 0.6772 data_time: 0.0218 memory: 17350 grad_norm: 5.7542 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8305 loss: 1.8305 2022/07/23 03:03:10 - mmengine - INFO - Epoch(train) [36][2920/3757] lr: 1.0000e-02 eta: 1 day, 20:28:57 time: 0.6058 data_time: 0.0251 memory: 17350 grad_norm: 5.5374 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8594 loss: 1.8594 2022/07/23 03:03:24 - mmengine - INFO - Epoch(train) [36][2940/3757] lr: 1.0000e-02 eta: 1 day, 20:28:46 time: 0.7304 data_time: 0.0258 memory: 17350 grad_norm: 5.4186 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1657 loss: 2.1657 2022/07/23 03:03:37 - mmengine - INFO - Epoch(train) [36][2960/3757] lr: 1.0000e-02 eta: 1 day, 20:28:33 time: 0.6502 data_time: 0.0252 memory: 17350 grad_norm: 5.7983 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0102 loss: 2.0102 2022/07/23 03:03:52 - mmengine - INFO - Epoch(train) [36][2980/3757] lr: 1.0000e-02 eta: 1 day, 20:28:22 time: 0.7392 data_time: 0.0224 memory: 17350 grad_norm: 5.5599 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6819 loss: 1.6819 2022/07/23 03:04:04 - mmengine - INFO - Epoch(train) [36][3000/3757] lr: 1.0000e-02 eta: 1 day, 20:28:07 time: 0.6171 data_time: 0.0259 memory: 17350 grad_norm: 5.5166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9519 loss: 1.9519 2022/07/23 03:04:20 - mmengine - INFO - Epoch(train) [36][3020/3757] lr: 1.0000e-02 eta: 1 day, 20:27:58 time: 0.7712 data_time: 0.0224 memory: 17350 grad_norm: 5.4098 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8968 loss: 1.8968 2022/07/23 03:04:32 - mmengine - INFO - Epoch(train) [36][3040/3757] lr: 1.0000e-02 eta: 1 day, 20:27:42 time: 0.6078 data_time: 0.0206 memory: 17350 grad_norm: 5.7850 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7237 loss: 1.7237 2022/07/23 03:04:45 - mmengine - INFO - Epoch(train) [36][3060/3757] lr: 1.0000e-02 eta: 1 day, 20:27:29 time: 0.6681 data_time: 0.0226 memory: 17350 grad_norm: 5.6419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8808 loss: 1.8808 2022/07/23 03:04:57 - mmengine - INFO - Epoch(train) [36][3080/3757] lr: 1.0000e-02 eta: 1 day, 20:27:14 time: 0.5924 data_time: 0.0220 memory: 17350 grad_norm: 5.5561 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7721 loss: 1.7721 2022/07/23 03:05:12 - mmengine - INFO - Epoch(train) [36][3100/3757] lr: 1.0000e-02 eta: 1 day, 20:27:04 time: 0.7569 data_time: 0.0240 memory: 17350 grad_norm: 5.5124 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8136 loss: 1.8136 2022/07/23 03:05:24 - mmengine - INFO - Epoch(train) [36][3120/3757] lr: 1.0000e-02 eta: 1 day, 20:26:48 time: 0.5923 data_time: 0.0227 memory: 17350 grad_norm: 5.4913 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6846 loss: 1.6846 2022/07/23 03:05:38 - mmengine - INFO - Epoch(train) [36][3140/3757] lr: 1.0000e-02 eta: 1 day, 20:26:36 time: 0.7119 data_time: 0.0535 memory: 17350 grad_norm: 5.5925 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0133 loss: 2.0133 2022/07/23 03:05:50 - mmengine - INFO - Epoch(train) [36][3160/3757] lr: 1.0000e-02 eta: 1 day, 20:26:20 time: 0.5830 data_time: 0.1392 memory: 17350 grad_norm: 5.5801 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8650 loss: 1.8650 2022/07/23 03:06:05 - mmengine - INFO - Epoch(train) [36][3180/3757] lr: 1.0000e-02 eta: 1 day, 20:26:10 time: 0.7468 data_time: 0.2949 memory: 17350 grad_norm: 5.6636 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7575 loss: 1.7575 2022/07/23 03:06:17 - mmengine - INFO - Epoch(train) [36][3200/3757] lr: 1.0000e-02 eta: 1 day, 20:25:55 time: 0.6183 data_time: 0.1589 memory: 17350 grad_norm: 5.6330 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9579 loss: 1.9579 2022/07/23 03:06:32 - mmengine - INFO - Epoch(train) [36][3220/3757] lr: 1.0000e-02 eta: 1 day, 20:25:45 time: 0.7461 data_time: 0.1776 memory: 17350 grad_norm: 5.4572 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9956 loss: 1.9956 2022/07/23 03:06:45 - mmengine - INFO - Epoch(train) [36][3240/3757] lr: 1.0000e-02 eta: 1 day, 20:25:29 time: 0.6136 data_time: 0.0979 memory: 17350 grad_norm: 5.3493 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7071 loss: 1.7071 2022/07/23 03:06:58 - mmengine - INFO - Epoch(train) [36][3260/3757] lr: 1.0000e-02 eta: 1 day, 20:25:17 time: 0.6823 data_time: 0.1074 memory: 17350 grad_norm: 5.5123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8511 loss: 1.8511 2022/07/23 03:07:10 - mmengine - INFO - Epoch(train) [36][3280/3757] lr: 1.0000e-02 eta: 1 day, 20:25:01 time: 0.5986 data_time: 0.1444 memory: 17350 grad_norm: 5.6790 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7558 loss: 1.7558 2022/07/23 03:07:24 - mmengine - INFO - Epoch(train) [36][3300/3757] lr: 1.0000e-02 eta: 1 day, 20:24:49 time: 0.7053 data_time: 0.2226 memory: 17350 grad_norm: 5.6234 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8739 loss: 1.8739 2022/07/23 03:07:36 - mmengine - INFO - Epoch(train) [36][3320/3757] lr: 1.0000e-02 eta: 1 day, 20:24:34 time: 0.5915 data_time: 0.2071 memory: 17350 grad_norm: 5.5544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8649 loss: 1.8649 2022/07/23 03:07:51 - mmengine - INFO - Epoch(train) [36][3340/3757] lr: 1.0000e-02 eta: 1 day, 20:24:22 time: 0.7226 data_time: 0.2244 memory: 17350 grad_norm: 5.7273 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9876 loss: 1.9876 2022/07/23 03:08:03 - mmengine - INFO - Epoch(train) [36][3360/3757] lr: 1.0000e-02 eta: 1 day, 20:24:07 time: 0.6000 data_time: 0.0800 memory: 17350 grad_norm: 5.4981 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7975 loss: 1.7975 2022/07/23 03:08:17 - mmengine - INFO - Epoch(train) [36][3380/3757] lr: 1.0000e-02 eta: 1 day, 20:23:55 time: 0.7015 data_time: 0.1747 memory: 17350 grad_norm: 5.6049 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5920 loss: 1.5920 2022/07/23 03:08:29 - mmengine - INFO - Epoch(train) [36][3400/3757] lr: 1.0000e-02 eta: 1 day, 20:23:40 time: 0.6204 data_time: 0.1118 memory: 17350 grad_norm: 5.4615 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6793 loss: 1.6793 2022/07/23 03:08:43 - mmengine - INFO - Epoch(train) [36][3420/3757] lr: 1.0000e-02 eta: 1 day, 20:23:28 time: 0.7020 data_time: 0.2129 memory: 17350 grad_norm: 5.6362 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6150 loss: 1.6150 2022/07/23 03:08:56 - mmengine - INFO - Epoch(train) [36][3440/3757] lr: 1.0000e-02 eta: 1 day, 20:23:14 time: 0.6449 data_time: 0.2023 memory: 17350 grad_norm: 5.5621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9960 loss: 1.9960 2022/07/23 03:09:11 - mmengine - INFO - Epoch(train) [36][3460/3757] lr: 1.0000e-02 eta: 1 day, 20:23:04 time: 0.7432 data_time: 0.3260 memory: 17350 grad_norm: 5.5053 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9851 loss: 1.9851 2022/07/23 03:09:23 - mmengine - INFO - Epoch(train) [36][3480/3757] lr: 1.0000e-02 eta: 1 day, 20:22:48 time: 0.5817 data_time: 0.1759 memory: 17350 grad_norm: 5.6580 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0788 loss: 2.0788 2022/07/23 03:09:38 - mmengine - INFO - Epoch(train) [36][3500/3757] lr: 1.0000e-02 eta: 1 day, 20:22:38 time: 0.7542 data_time: 0.3014 memory: 17350 grad_norm: 5.5354 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8251 loss: 1.8251 2022/07/23 03:09:40 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 03:09:49 - mmengine - INFO - Epoch(train) [36][3520/3757] lr: 1.0000e-02 eta: 1 day, 20:22:21 time: 0.5842 data_time: 0.1984 memory: 17350 grad_norm: 5.5250 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9677 loss: 1.9677 2022/07/23 03:10:04 - mmengine - INFO - Epoch(train) [36][3540/3757] lr: 1.0000e-02 eta: 1 day, 20:22:11 time: 0.7465 data_time: 0.3512 memory: 17350 grad_norm: 5.3883 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1184 loss: 2.1184 2022/07/23 03:10:17 - mmengine - INFO - Epoch(train) [36][3560/3757] lr: 1.0000e-02 eta: 1 day, 20:21:56 time: 0.6212 data_time: 0.1981 memory: 17350 grad_norm: 5.8381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0001 loss: 2.0001 2022/07/23 03:10:31 - mmengine - INFO - Epoch(train) [36][3580/3757] lr: 1.0000e-02 eta: 1 day, 20:21:44 time: 0.6960 data_time: 0.2682 memory: 17350 grad_norm: 5.8355 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9428 loss: 1.9428 2022/07/23 03:10:44 - mmengine - INFO - Epoch(train) [36][3600/3757] lr: 1.0000e-02 eta: 1 day, 20:21:30 time: 0.6450 data_time: 0.1974 memory: 17350 grad_norm: 5.5127 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0639 loss: 2.0639 2022/07/23 03:10:57 - mmengine - INFO - Epoch(train) [36][3620/3757] lr: 1.0000e-02 eta: 1 day, 20:21:18 time: 0.6858 data_time: 0.2024 memory: 17350 grad_norm: 5.3524 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7591 loss: 1.7591 2022/07/23 03:11:11 - mmengine - INFO - Epoch(train) [36][3640/3757] lr: 1.0000e-02 eta: 1 day, 20:21:05 time: 0.6708 data_time: 0.1181 memory: 17350 grad_norm: 5.5436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6680 loss: 1.6680 2022/07/23 03:11:23 - mmengine - INFO - Epoch(train) [36][3660/3757] lr: 1.0000e-02 eta: 1 day, 20:20:51 time: 0.6385 data_time: 0.1198 memory: 17350 grad_norm: 5.5551 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0373 loss: 2.0373 2022/07/23 03:11:37 - mmengine - INFO - Epoch(train) [36][3680/3757] lr: 1.0000e-02 eta: 1 day, 20:20:38 time: 0.6882 data_time: 0.0343 memory: 17350 grad_norm: 5.5196 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9165 loss: 1.9165 2022/07/23 03:11:50 - mmengine - INFO - Epoch(train) [36][3700/3757] lr: 1.0000e-02 eta: 1 day, 20:20:25 time: 0.6567 data_time: 0.0602 memory: 17350 grad_norm: 5.5930 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8880 loss: 1.8880 2022/07/23 03:12:03 - mmengine - INFO - Epoch(train) [36][3720/3757] lr: 1.0000e-02 eta: 1 day, 20:20:10 time: 0.6340 data_time: 0.0362 memory: 17350 grad_norm: 5.4585 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9459 loss: 1.9459 2022/07/23 03:12:18 - mmengine - INFO - Epoch(train) [36][3740/3757] lr: 1.0000e-02 eta: 1 day, 20:19:59 time: 0.7207 data_time: 0.1655 memory: 17350 grad_norm: 5.4506 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5547 loss: 1.5547 2022/07/23 03:12:25 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 03:12:25 - mmengine - INFO - Epoch(train) [36][3757/3757] lr: 1.0000e-02 eta: 1 day, 20:19:59 time: 0.4924 data_time: 0.0677 memory: 17350 grad_norm: 5.6963 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.7385 loss: 1.7385 2022/07/23 03:12:41 - mmengine - INFO - Epoch(val) [36][20/310] eta: 0:04:01 time: 0.8338 data_time: 0.7187 memory: 3406 2022/07/23 03:12:52 - mmengine - INFO - Epoch(val) [36][40/310] eta: 0:02:29 time: 0.5526 data_time: 0.4374 memory: 3406 2022/07/23 03:13:08 - mmengine - INFO - Epoch(val) [36][60/310] eta: 0:03:14 time: 0.7773 data_time: 0.6623 memory: 3406 2022/07/23 03:13:20 - mmengine - INFO - Epoch(val) [36][80/310] eta: 0:02:18 time: 0.6030 data_time: 0.4874 memory: 3406 2022/07/23 03:13:36 - mmengine - INFO - Epoch(val) [36][100/310] eta: 0:02:47 time: 0.7971 data_time: 0.6820 memory: 3406 2022/07/23 03:13:47 - mmengine - INFO - Epoch(val) [36][120/310] eta: 0:01:44 time: 0.5513 data_time: 0.4394 memory: 3406 2022/07/23 03:14:02 - mmengine - INFO - Epoch(val) [36][140/310] eta: 0:02:12 time: 0.7767 data_time: 0.6641 memory: 3406 2022/07/23 03:14:14 - mmengine - INFO - Epoch(val) [36][160/310] eta: 0:01:24 time: 0.5650 data_time: 0.4528 memory: 3406 2022/07/23 03:14:29 - mmengine - INFO - Epoch(val) [36][180/310] eta: 0:01:40 time: 0.7728 data_time: 0.6603 memory: 3406 2022/07/23 03:14:40 - mmengine - INFO - Epoch(val) [36][200/310] eta: 0:01:01 time: 0.5612 data_time: 0.4485 memory: 3406 2022/07/23 03:14:57 - mmengine - INFO - Epoch(val) [36][220/310] eta: 0:01:12 time: 0.8059 data_time: 0.6929 memory: 3406 2022/07/23 03:15:08 - mmengine - INFO - Epoch(val) [36][240/310] eta: 0:00:39 time: 0.5703 data_time: 0.4572 memory: 3406 2022/07/23 03:15:23 - mmengine - INFO - Epoch(val) [36][260/310] eta: 0:00:37 time: 0.7598 data_time: 0.6472 memory: 3406 2022/07/23 03:15:34 - mmengine - INFO - Epoch(val) [36][280/310] eta: 0:00:16 time: 0.5496 data_time: 0.4371 memory: 3406 2022/07/23 03:15:48 - mmengine - INFO - Epoch(val) [36][300/310] eta: 0:00:07 time: 0.7008 data_time: 0.5860 memory: 3406 2022/07/23 03:15:52 - mmengine - INFO - Epoch(val) [36][310/310] acc/top1: 0.5856 acc/top5: 0.8212 acc/mean1: 0.5855 2022/07/23 03:16:10 - mmengine - INFO - Epoch(train) [37][20/3757] lr: 1.0000e-02 eta: 1 day, 20:19:23 time: 0.9032 data_time: 0.5613 memory: 17350 grad_norm: 5.4186 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9165 loss: 1.9165 2022/07/23 03:16:22 - mmengine - INFO - Epoch(train) [37][40/3757] lr: 1.0000e-02 eta: 1 day, 20:19:07 time: 0.5954 data_time: 0.2069 memory: 17350 grad_norm: 5.4950 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8529 loss: 1.8529 2022/07/23 03:16:37 - mmengine - INFO - Epoch(train) [37][60/3757] lr: 1.0000e-02 eta: 1 day, 20:18:57 time: 0.7391 data_time: 0.2602 memory: 17350 grad_norm: 5.4665 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0540 loss: 2.0540 2022/07/23 03:16:49 - mmengine - INFO - Epoch(train) [37][80/3757] lr: 1.0000e-02 eta: 1 day, 20:18:42 time: 0.6102 data_time: 0.1359 memory: 17350 grad_norm: 5.4690 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5732 loss: 1.5732 2022/07/23 03:17:04 - mmengine - INFO - Epoch(train) [37][100/3757] lr: 1.0000e-02 eta: 1 day, 20:18:31 time: 0.7462 data_time: 0.1389 memory: 17350 grad_norm: 5.6854 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6959 loss: 1.6959 2022/07/23 03:17:17 - mmengine - INFO - Epoch(train) [37][120/3757] lr: 1.0000e-02 eta: 1 day, 20:18:17 time: 0.6332 data_time: 0.1797 memory: 17350 grad_norm: 5.4693 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7476 loss: 1.7476 2022/07/23 03:17:31 - mmengine - INFO - Epoch(train) [37][140/3757] lr: 1.0000e-02 eta: 1 day, 20:18:05 time: 0.7129 data_time: 0.1305 memory: 17350 grad_norm: 5.3069 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7333 loss: 1.7333 2022/07/23 03:17:44 - mmengine - INFO - Epoch(train) [37][160/3757] lr: 1.0000e-02 eta: 1 day, 20:17:50 time: 0.6174 data_time: 0.1403 memory: 17350 grad_norm: 5.3343 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6897 loss: 1.6897 2022/07/23 03:17:58 - mmengine - INFO - Epoch(train) [37][180/3757] lr: 1.0000e-02 eta: 1 day, 20:17:40 time: 0.7406 data_time: 0.1649 memory: 17350 grad_norm: 5.5689 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9215 loss: 1.9215 2022/07/23 03:18:10 - mmengine - INFO - Epoch(train) [37][200/3757] lr: 1.0000e-02 eta: 1 day, 20:17:24 time: 0.5784 data_time: 0.0805 memory: 17350 grad_norm: 5.6657 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7300 loss: 1.7300 2022/07/23 03:18:25 - mmengine - INFO - Epoch(train) [37][220/3757] lr: 1.0000e-02 eta: 1 day, 20:17:14 time: 0.7746 data_time: 0.1066 memory: 17350 grad_norm: 5.6093 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7709 loss: 1.7709 2022/07/23 03:18:37 - mmengine - INFO - Epoch(train) [37][240/3757] lr: 1.0000e-02 eta: 1 day, 20:16:59 time: 0.6025 data_time: 0.0223 memory: 17350 grad_norm: 5.5561 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6989 loss: 1.6989 2022/07/23 03:18:52 - mmengine - INFO - Epoch(train) [37][260/3757] lr: 1.0000e-02 eta: 1 day, 20:16:49 time: 0.7475 data_time: 0.0227 memory: 17350 grad_norm: 5.6053 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6999 loss: 1.6999 2022/07/23 03:19:04 - mmengine - INFO - Epoch(train) [37][280/3757] lr: 1.0000e-02 eta: 1 day, 20:16:32 time: 0.5798 data_time: 0.0251 memory: 17350 grad_norm: 5.5526 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6059 loss: 1.6059 2022/07/23 03:19:19 - mmengine - INFO - Epoch(train) [37][300/3757] lr: 1.0000e-02 eta: 1 day, 20:16:21 time: 0.7264 data_time: 0.0219 memory: 17350 grad_norm: 5.6015 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8745 loss: 1.8745 2022/07/23 03:19:31 - mmengine - INFO - Epoch(train) [37][320/3757] lr: 1.0000e-02 eta: 1 day, 20:16:06 time: 0.6097 data_time: 0.0224 memory: 17350 grad_norm: 5.5737 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7652 loss: 1.7652 2022/07/23 03:19:46 - mmengine - INFO - Epoch(train) [37][340/3757] lr: 1.0000e-02 eta: 1 day, 20:15:56 time: 0.7596 data_time: 0.0231 memory: 17350 grad_norm: 5.7385 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6584 loss: 1.6584 2022/07/23 03:19:58 - mmengine - INFO - Epoch(train) [37][360/3757] lr: 1.0000e-02 eta: 1 day, 20:15:41 time: 0.6206 data_time: 0.0230 memory: 17350 grad_norm: 5.5492 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6622 loss: 1.6622 2022/07/23 03:20:12 - mmengine - INFO - Epoch(train) [37][380/3757] lr: 1.0000e-02 eta: 1 day, 20:15:29 time: 0.6949 data_time: 0.0244 memory: 17350 grad_norm: 5.5529 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0039 loss: 2.0039 2022/07/23 03:20:25 - mmengine - INFO - Epoch(train) [37][400/3757] lr: 1.0000e-02 eta: 1 day, 20:15:15 time: 0.6245 data_time: 0.0224 memory: 17350 grad_norm: 5.5534 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0718 loss: 2.0718 2022/07/23 03:20:39 - mmengine - INFO - Epoch(train) [37][420/3757] lr: 1.0000e-02 eta: 1 day, 20:15:03 time: 0.7179 data_time: 0.0218 memory: 17350 grad_norm: 5.4389 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9064 loss: 1.9064 2022/07/23 03:20:51 - mmengine - INFO - Epoch(train) [37][440/3757] lr: 1.0000e-02 eta: 1 day, 20:14:48 time: 0.6101 data_time: 0.0259 memory: 17350 grad_norm: 5.3516 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.6559 loss: 1.6559 2022/07/23 03:21:06 - mmengine - INFO - Epoch(train) [37][460/3757] lr: 1.0000e-02 eta: 1 day, 20:14:37 time: 0.7287 data_time: 0.0229 memory: 17350 grad_norm: 5.5758 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7423 loss: 1.7423 2022/07/23 03:21:18 - mmengine - INFO - Epoch(train) [37][480/3757] lr: 1.0000e-02 eta: 1 day, 20:14:21 time: 0.5856 data_time: 0.0219 memory: 17350 grad_norm: 5.4776 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9792 loss: 1.9792 2022/07/23 03:21:33 - mmengine - INFO - Epoch(train) [37][500/3757] lr: 1.0000e-02 eta: 1 day, 20:14:10 time: 0.7407 data_time: 0.0224 memory: 17350 grad_norm: 5.5064 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5702 loss: 1.5702 2022/07/23 03:21:45 - mmengine - INFO - Epoch(train) [37][520/3757] lr: 1.0000e-02 eta: 1 day, 20:13:55 time: 0.6013 data_time: 0.0239 memory: 17350 grad_norm: 5.4454 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9305 loss: 1.9305 2022/07/23 03:21:59 - mmengine - INFO - Epoch(train) [37][540/3757] lr: 1.0000e-02 eta: 1 day, 20:13:44 time: 0.7274 data_time: 0.0228 memory: 17350 grad_norm: 5.4140 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7409 loss: 1.7409 2022/07/23 03:22:10 - mmengine - INFO - Epoch(train) [37][560/3757] lr: 1.0000e-02 eta: 1 day, 20:13:27 time: 0.5585 data_time: 0.0254 memory: 17350 grad_norm: 5.5449 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6608 loss: 1.6608 2022/07/23 03:22:25 - mmengine - INFO - Epoch(train) [37][580/3757] lr: 1.0000e-02 eta: 1 day, 20:13:16 time: 0.7375 data_time: 0.0249 memory: 17350 grad_norm: 5.5073 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4572 loss: 1.4572 2022/07/23 03:22:37 - mmengine - INFO - Epoch(train) [37][600/3757] lr: 1.0000e-02 eta: 1 day, 20:13:01 time: 0.6165 data_time: 0.0245 memory: 17350 grad_norm: 5.5783 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9370 loss: 1.9370 2022/07/23 03:22:52 - mmengine - INFO - Epoch(train) [37][620/3757] lr: 1.0000e-02 eta: 1 day, 20:12:51 time: 0.7397 data_time: 0.0228 memory: 17350 grad_norm: 5.5188 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9776 loss: 1.9776 2022/07/23 03:23:05 - mmengine - INFO - Epoch(train) [37][640/3757] lr: 1.0000e-02 eta: 1 day, 20:12:36 time: 0.6170 data_time: 0.0237 memory: 17350 grad_norm: 5.4607 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8461 loss: 1.8461 2022/07/23 03:23:19 - mmengine - INFO - Epoch(train) [37][660/3757] lr: 1.0000e-02 eta: 1 day, 20:12:24 time: 0.7073 data_time: 0.0230 memory: 17350 grad_norm: 5.4175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0042 loss: 2.0042 2022/07/23 03:23:31 - mmengine - INFO - Epoch(train) [37][680/3757] lr: 1.0000e-02 eta: 1 day, 20:12:09 time: 0.6235 data_time: 0.0244 memory: 17350 grad_norm: 5.7541 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8941 loss: 1.8941 2022/07/23 03:23:46 - mmengine - INFO - Epoch(train) [37][700/3757] lr: 1.0000e-02 eta: 1 day, 20:11:59 time: 0.7366 data_time: 0.0248 memory: 17350 grad_norm: 5.6942 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8166 loss: 1.8166 2022/07/23 03:23:58 - mmengine - INFO - Epoch(train) [37][720/3757] lr: 1.0000e-02 eta: 1 day, 20:11:43 time: 0.5881 data_time: 0.0239 memory: 17350 grad_norm: 5.9429 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9976 loss: 1.9976 2022/07/23 03:24:13 - mmengine - INFO - Epoch(train) [37][740/3757] lr: 1.0000e-02 eta: 1 day, 20:11:33 time: 0.7703 data_time: 0.0260 memory: 17350 grad_norm: 5.6940 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0536 loss: 2.0536 2022/07/23 03:24:18 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 03:24:25 - mmengine - INFO - Epoch(train) [37][760/3757] lr: 1.0000e-02 eta: 1 day, 20:11:17 time: 0.5745 data_time: 0.0258 memory: 17350 grad_norm: 5.5802 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7781 loss: 1.7781 2022/07/23 03:24:39 - mmengine - INFO - Epoch(train) [37][780/3757] lr: 1.0000e-02 eta: 1 day, 20:11:05 time: 0.7151 data_time: 0.0230 memory: 17350 grad_norm: 5.3206 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8040 loss: 1.8040 2022/07/23 03:24:51 - mmengine - INFO - Epoch(train) [37][800/3757] lr: 1.0000e-02 eta: 1 day, 20:10:51 time: 0.6189 data_time: 0.0247 memory: 17350 grad_norm: 5.4903 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7795 loss: 1.7795 2022/07/23 03:25:06 - mmengine - INFO - Epoch(train) [37][820/3757] lr: 1.0000e-02 eta: 1 day, 20:10:40 time: 0.7477 data_time: 0.0235 memory: 17350 grad_norm: 5.4162 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4836 loss: 1.4836 2022/07/23 03:25:18 - mmengine - INFO - Epoch(train) [37][840/3757] lr: 1.0000e-02 eta: 1 day, 20:10:25 time: 0.6031 data_time: 0.0206 memory: 17350 grad_norm: 5.6588 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9514 loss: 1.9514 2022/07/23 03:25:33 - mmengine - INFO - Epoch(train) [37][860/3757] lr: 1.0000e-02 eta: 1 day, 20:10:14 time: 0.7356 data_time: 0.0228 memory: 17350 grad_norm: 5.4857 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6232 loss: 1.6232 2022/07/23 03:25:46 - mmengine - INFO - Epoch(train) [37][880/3757] lr: 1.0000e-02 eta: 1 day, 20:10:01 time: 0.6619 data_time: 0.0222 memory: 17350 grad_norm: 5.6026 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9717 loss: 1.9717 2022/07/23 03:25:59 - mmengine - INFO - Epoch(train) [37][900/3757] lr: 1.0000e-02 eta: 1 day, 20:09:47 time: 0.6398 data_time: 0.0219 memory: 17350 grad_norm: 5.5492 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7913 loss: 1.7913 2022/07/23 03:26:13 - mmengine - INFO - Epoch(train) [37][920/3757] lr: 1.0000e-02 eta: 1 day, 20:09:34 time: 0.6750 data_time: 0.0224 memory: 17350 grad_norm: 5.3954 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7322 loss: 1.7322 2022/07/23 03:26:27 - mmengine - INFO - Epoch(train) [37][940/3757] lr: 1.0000e-02 eta: 1 day, 20:09:22 time: 0.7144 data_time: 0.0222 memory: 17350 grad_norm: 5.4525 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8336 loss: 1.8336 2022/07/23 03:26:40 - mmengine - INFO - Epoch(train) [37][960/3757] lr: 1.0000e-02 eta: 1 day, 20:09:08 time: 0.6334 data_time: 0.0222 memory: 17350 grad_norm: 5.6836 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1828 loss: 2.1828 2022/07/23 03:26:53 - mmengine - INFO - Epoch(train) [37][980/3757] lr: 1.0000e-02 eta: 1 day, 20:08:55 time: 0.6791 data_time: 0.0232 memory: 17350 grad_norm: 5.6745 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8805 loss: 1.8805 2022/07/23 03:27:07 - mmengine - INFO - Epoch(train) [37][1000/3757] lr: 1.0000e-02 eta: 1 day, 20:08:43 time: 0.6972 data_time: 0.0223 memory: 17350 grad_norm: 5.5770 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8769 loss: 1.8769 2022/07/23 03:27:20 - mmengine - INFO - Epoch(train) [37][1020/3757] lr: 1.0000e-02 eta: 1 day, 20:08:29 time: 0.6334 data_time: 0.0233 memory: 17350 grad_norm: 5.4293 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6641 loss: 1.6641 2022/07/23 03:27:34 - mmengine - INFO - Epoch(train) [37][1040/3757] lr: 1.0000e-02 eta: 1 day, 20:08:17 time: 0.7115 data_time: 0.0251 memory: 17350 grad_norm: 5.5861 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8991 loss: 1.8991 2022/07/23 03:27:47 - mmengine - INFO - Epoch(train) [37][1060/3757] lr: 1.0000e-02 eta: 1 day, 20:08:03 time: 0.6525 data_time: 0.0246 memory: 17350 grad_norm: 5.4534 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7732 loss: 1.7732 2022/07/23 03:28:00 - mmengine - INFO - Epoch(train) [37][1080/3757] lr: 1.0000e-02 eta: 1 day, 20:07:49 time: 0.6360 data_time: 0.0207 memory: 17350 grad_norm: 5.3815 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7759 loss: 1.7759 2022/07/23 03:28:14 - mmengine - INFO - Epoch(train) [37][1100/3757] lr: 1.0000e-02 eta: 1 day, 20:07:37 time: 0.6888 data_time: 0.0232 memory: 17350 grad_norm: 5.5873 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6136 loss: 1.6136 2022/07/23 03:28:26 - mmengine - INFO - Epoch(train) [37][1120/3757] lr: 1.0000e-02 eta: 1 day, 20:07:22 time: 0.6343 data_time: 0.0221 memory: 17350 grad_norm: 5.4636 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7989 loss: 1.7989 2022/07/23 03:28:41 - mmengine - INFO - Epoch(train) [37][1140/3757] lr: 1.0000e-02 eta: 1 day, 20:07:11 time: 0.7142 data_time: 0.0215 memory: 17350 grad_norm: 5.2765 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8118 loss: 1.8118 2022/07/23 03:28:53 - mmengine - INFO - Epoch(train) [37][1160/3757] lr: 1.0000e-02 eta: 1 day, 20:06:57 time: 0.6318 data_time: 0.0275 memory: 17350 grad_norm: 5.5346 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7022 loss: 1.7022 2022/07/23 03:29:06 - mmengine - INFO - Epoch(train) [37][1180/3757] lr: 1.0000e-02 eta: 1 day, 20:06:43 time: 0.6594 data_time: 0.0228 memory: 17350 grad_norm: 5.5588 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6058 loss: 1.6058 2022/07/23 03:29:19 - mmengine - INFO - Epoch(train) [37][1200/3757] lr: 1.0000e-02 eta: 1 day, 20:06:28 time: 0.6043 data_time: 0.0273 memory: 17350 grad_norm: 5.6902 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8670 loss: 1.8670 2022/07/23 03:29:34 - mmengine - INFO - Epoch(train) [37][1220/3757] lr: 1.0000e-02 eta: 1 day, 20:06:18 time: 0.7691 data_time: 0.1276 memory: 17350 grad_norm: 5.5301 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8137 loss: 1.8137 2022/07/23 03:29:46 - mmengine - INFO - Epoch(train) [37][1240/3757] lr: 1.0000e-02 eta: 1 day, 20:06:02 time: 0.5898 data_time: 0.0236 memory: 17350 grad_norm: 5.4625 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7283 loss: 1.7283 2022/07/23 03:30:00 - mmengine - INFO - Epoch(train) [37][1260/3757] lr: 1.0000e-02 eta: 1 day, 20:05:51 time: 0.7301 data_time: 0.0216 memory: 17350 grad_norm: 5.4775 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8978 loss: 1.8978 2022/07/23 03:30:13 - mmengine - INFO - Epoch(train) [37][1280/3757] lr: 1.0000e-02 eta: 1 day, 20:05:37 time: 0.6317 data_time: 0.0224 memory: 17350 grad_norm: 5.4546 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5238 loss: 1.5238 2022/07/23 03:30:27 - mmengine - INFO - Epoch(train) [37][1300/3757] lr: 1.0000e-02 eta: 1 day, 20:05:26 time: 0.7198 data_time: 0.0224 memory: 17350 grad_norm: 5.5792 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0324 loss: 2.0324 2022/07/23 03:30:39 - mmengine - INFO - Epoch(train) [37][1320/3757] lr: 1.0000e-02 eta: 1 day, 20:05:09 time: 0.5719 data_time: 0.0251 memory: 17350 grad_norm: 5.4768 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7770 loss: 1.7770 2022/07/23 03:30:54 - mmengine - INFO - Epoch(train) [37][1340/3757] lr: 1.0000e-02 eta: 1 day, 20:05:00 time: 0.7755 data_time: 0.0211 memory: 17350 grad_norm: 5.5239 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9289 loss: 1.9289 2022/07/23 03:31:06 - mmengine - INFO - Epoch(train) [37][1360/3757] lr: 1.0000e-02 eta: 1 day, 20:04:44 time: 0.5768 data_time: 0.0222 memory: 17350 grad_norm: 5.5115 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8151 loss: 1.8151 2022/07/23 03:31:20 - mmengine - INFO - Epoch(train) [37][1380/3757] lr: 1.0000e-02 eta: 1 day, 20:04:32 time: 0.7115 data_time: 0.0218 memory: 17350 grad_norm: 5.5732 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8579 loss: 1.8579 2022/07/23 03:31:33 - mmengine - INFO - Epoch(train) [37][1400/3757] lr: 1.0000e-02 eta: 1 day, 20:04:17 time: 0.6220 data_time: 0.0643 memory: 17350 grad_norm: 5.6306 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7650 loss: 1.7650 2022/07/23 03:31:47 - mmengine - INFO - Epoch(train) [37][1420/3757] lr: 1.0000e-02 eta: 1 day, 20:04:06 time: 0.7152 data_time: 0.1602 memory: 17350 grad_norm: 5.7045 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0904 loss: 2.0904 2022/07/23 03:31:59 - mmengine - INFO - Epoch(train) [37][1440/3757] lr: 1.0000e-02 eta: 1 day, 20:03:51 time: 0.6273 data_time: 0.1051 memory: 17350 grad_norm: 5.6737 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6327 loss: 1.6327 2022/07/23 03:32:14 - mmengine - INFO - Epoch(train) [37][1460/3757] lr: 1.0000e-02 eta: 1 day, 20:03:40 time: 0.7214 data_time: 0.0878 memory: 17350 grad_norm: 5.5855 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7847 loss: 1.7847 2022/07/23 03:32:26 - mmengine - INFO - Epoch(train) [37][1480/3757] lr: 1.0000e-02 eta: 1 day, 20:03:25 time: 0.6123 data_time: 0.0815 memory: 17350 grad_norm: 5.7391 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7773 loss: 1.7773 2022/07/23 03:32:41 - mmengine - INFO - Epoch(train) [37][1500/3757] lr: 1.0000e-02 eta: 1 day, 20:03:14 time: 0.7223 data_time: 0.1055 memory: 17350 grad_norm: 5.6124 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6786 loss: 1.6786 2022/07/23 03:32:53 - mmengine - INFO - Epoch(train) [37][1520/3757] lr: 1.0000e-02 eta: 1 day, 20:02:58 time: 0.6035 data_time: 0.0612 memory: 17350 grad_norm: 5.3318 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8571 loss: 1.8571 2022/07/23 03:33:07 - mmengine - INFO - Epoch(train) [37][1540/3757] lr: 1.0000e-02 eta: 1 day, 20:02:47 time: 0.7083 data_time: 0.1294 memory: 17350 grad_norm: 5.2863 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6021 loss: 1.6021 2022/07/23 03:33:19 - mmengine - INFO - Epoch(train) [37][1560/3757] lr: 1.0000e-02 eta: 1 day, 20:02:31 time: 0.6044 data_time: 0.1389 memory: 17350 grad_norm: 5.6977 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8780 loss: 1.8780 2022/07/23 03:33:34 - mmengine - INFO - Epoch(train) [37][1580/3757] lr: 1.0000e-02 eta: 1 day, 20:02:20 time: 0.7327 data_time: 0.1651 memory: 17350 grad_norm: 5.5458 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8559 loss: 1.8559 2022/07/23 03:33:46 - mmengine - INFO - Epoch(train) [37][1600/3757] lr: 1.0000e-02 eta: 1 day, 20:02:05 time: 0.5964 data_time: 0.0916 memory: 17350 grad_norm: 5.5047 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8858 loss: 1.8858 2022/07/23 03:34:01 - mmengine - INFO - Epoch(train) [37][1620/3757] lr: 1.0000e-02 eta: 1 day, 20:01:55 time: 0.7565 data_time: 0.1307 memory: 17350 grad_norm: 5.5265 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9678 loss: 1.9678 2022/07/23 03:34:13 - mmengine - INFO - Epoch(train) [37][1640/3757] lr: 1.0000e-02 eta: 1 day, 20:01:39 time: 0.5934 data_time: 0.0387 memory: 17350 grad_norm: 5.6203 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8472 loss: 1.8472 2022/07/23 03:34:27 - mmengine - INFO - Epoch(train) [37][1660/3757] lr: 1.0000e-02 eta: 1 day, 20:01:27 time: 0.7092 data_time: 0.0505 memory: 17350 grad_norm: 5.5667 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6516 loss: 1.6516 2022/07/23 03:34:39 - mmengine - INFO - Epoch(train) [37][1680/3757] lr: 1.0000e-02 eta: 1 day, 20:01:13 time: 0.6286 data_time: 0.1014 memory: 17350 grad_norm: 5.6052 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.0216 loss: 2.0216 2022/07/23 03:34:54 - mmengine - INFO - Epoch(train) [37][1700/3757] lr: 1.0000e-02 eta: 1 day, 20:01:02 time: 0.7239 data_time: 0.0745 memory: 17350 grad_norm: 5.6150 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9032 loss: 1.9032 2022/07/23 03:35:07 - mmengine - INFO - Epoch(train) [37][1720/3757] lr: 1.0000e-02 eta: 1 day, 20:00:47 time: 0.6388 data_time: 0.0391 memory: 17350 grad_norm: 5.5125 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8986 loss: 1.8986 2022/07/23 03:35:21 - mmengine - INFO - Epoch(train) [37][1740/3757] lr: 1.0000e-02 eta: 1 day, 20:00:36 time: 0.7077 data_time: 0.0254 memory: 17350 grad_norm: 5.5702 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1134 loss: 2.1134 2022/07/23 03:35:26 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 03:35:33 - mmengine - INFO - Epoch(train) [37][1760/3757] lr: 1.0000e-02 eta: 1 day, 20:00:20 time: 0.6009 data_time: 0.0232 memory: 17350 grad_norm: 5.6750 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9276 loss: 1.9276 2022/07/23 03:35:47 - mmengine - INFO - Epoch(train) [37][1780/3757] lr: 1.0000e-02 eta: 1 day, 20:00:08 time: 0.6916 data_time: 0.0298 memory: 17350 grad_norm: 5.4130 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9470 loss: 1.9470 2022/07/23 03:35:58 - mmengine - INFO - Epoch(train) [37][1800/3757] lr: 1.0000e-02 eta: 1 day, 19:59:52 time: 0.5788 data_time: 0.0259 memory: 17350 grad_norm: 5.1739 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4320 loss: 1.4320 2022/07/23 03:36:13 - mmengine - INFO - Epoch(train) [37][1820/3757] lr: 1.0000e-02 eta: 1 day, 19:59:41 time: 0.7501 data_time: 0.0218 memory: 17350 grad_norm: 5.5235 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8145 loss: 1.8145 2022/07/23 03:36:25 - mmengine - INFO - Epoch(train) [37][1840/3757] lr: 1.0000e-02 eta: 1 day, 19:59:26 time: 0.5929 data_time: 0.0230 memory: 17350 grad_norm: 5.6970 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4677 loss: 1.4677 2022/07/23 03:36:39 - mmengine - INFO - Epoch(train) [37][1860/3757] lr: 1.0000e-02 eta: 1 day, 19:59:14 time: 0.7049 data_time: 0.0219 memory: 17350 grad_norm: 5.6026 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9697 loss: 1.9697 2022/07/23 03:36:51 - mmengine - INFO - Epoch(train) [37][1880/3757] lr: 1.0000e-02 eta: 1 day, 19:58:59 time: 0.6072 data_time: 0.0568 memory: 17350 grad_norm: 5.5622 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0477 loss: 2.0477 2022/07/23 03:37:06 - mmengine - INFO - Epoch(train) [37][1900/3757] lr: 1.0000e-02 eta: 1 day, 19:58:48 time: 0.7363 data_time: 0.0535 memory: 17350 grad_norm: 5.6509 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0902 loss: 2.0902 2022/07/23 03:37:19 - mmengine - INFO - Epoch(train) [37][1920/3757] lr: 1.0000e-02 eta: 1 day, 19:58:34 time: 0.6601 data_time: 0.0243 memory: 17350 grad_norm: 5.4603 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6414 loss: 1.6414 2022/07/23 03:37:34 - mmengine - INFO - Epoch(train) [37][1940/3757] lr: 1.0000e-02 eta: 1 day, 19:58:23 time: 0.7119 data_time: 0.0231 memory: 17350 grad_norm: 5.6401 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1169 loss: 2.1169 2022/07/23 03:37:46 - mmengine - INFO - Epoch(train) [37][1960/3757] lr: 1.0000e-02 eta: 1 day, 19:58:07 time: 0.5968 data_time: 0.0253 memory: 17350 grad_norm: 5.5928 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9572 loss: 1.9572 2022/07/23 03:38:01 - mmengine - INFO - Epoch(train) [37][1980/3757] lr: 1.0000e-02 eta: 1 day, 19:57:57 time: 0.7513 data_time: 0.0221 memory: 17350 grad_norm: 5.5491 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8367 loss: 1.8367 2022/07/23 03:38:12 - mmengine - INFO - Epoch(train) [37][2000/3757] lr: 1.0000e-02 eta: 1 day, 19:57:41 time: 0.5850 data_time: 0.0230 memory: 17350 grad_norm: 5.4468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7926 loss: 1.7926 2022/07/23 03:38:26 - mmengine - INFO - Epoch(train) [37][2020/3757] lr: 1.0000e-02 eta: 1 day, 19:57:29 time: 0.7079 data_time: 0.0223 memory: 17350 grad_norm: 5.5110 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7427 loss: 1.7427 2022/07/23 03:38:39 - mmengine - INFO - Epoch(train) [37][2040/3757] lr: 1.0000e-02 eta: 1 day, 19:57:15 time: 0.6481 data_time: 0.0235 memory: 17350 grad_norm: 5.3813 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8229 loss: 1.8229 2022/07/23 03:38:54 - mmengine - INFO - Epoch(train) [37][2060/3757] lr: 1.0000e-02 eta: 1 day, 19:57:04 time: 0.7104 data_time: 0.0155 memory: 17350 grad_norm: 5.4879 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7116 loss: 1.7116 2022/07/23 03:39:05 - mmengine - INFO - Epoch(train) [37][2080/3757] lr: 1.0000e-02 eta: 1 day, 19:56:47 time: 0.5686 data_time: 0.0228 memory: 17350 grad_norm: 5.7536 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7578 loss: 1.7578 2022/07/23 03:39:20 - mmengine - INFO - Epoch(train) [37][2100/3757] lr: 1.0000e-02 eta: 1 day, 19:56:37 time: 0.7490 data_time: 0.0211 memory: 17350 grad_norm: 5.8224 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9257 loss: 1.9257 2022/07/23 03:39:32 - mmengine - INFO - Epoch(train) [37][2120/3757] lr: 1.0000e-02 eta: 1 day, 19:56:22 time: 0.6063 data_time: 0.0224 memory: 17350 grad_norm: 5.5508 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7993 loss: 1.7993 2022/07/23 03:39:46 - mmengine - INFO - Epoch(train) [37][2140/3757] lr: 1.0000e-02 eta: 1 day, 19:56:10 time: 0.7120 data_time: 0.0253 memory: 17350 grad_norm: 5.6023 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7702 loss: 1.7702 2022/07/23 03:39:58 - mmengine - INFO - Epoch(train) [37][2160/3757] lr: 1.0000e-02 eta: 1 day, 19:55:54 time: 0.5832 data_time: 0.0215 memory: 17350 grad_norm: 5.4863 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6717 loss: 1.6717 2022/07/23 03:40:14 - mmengine - INFO - Epoch(train) [37][2180/3757] lr: 1.0000e-02 eta: 1 day, 19:55:45 time: 0.7774 data_time: 0.0220 memory: 17350 grad_norm: 5.5197 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0547 loss: 2.0547 2022/07/23 03:40:25 - mmengine - INFO - Epoch(train) [37][2200/3757] lr: 1.0000e-02 eta: 1 day, 19:55:29 time: 0.5829 data_time: 0.0227 memory: 17350 grad_norm: 5.4217 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7968 loss: 1.7968 2022/07/23 03:40:40 - mmengine - INFO - Epoch(train) [37][2220/3757] lr: 1.0000e-02 eta: 1 day, 19:55:18 time: 0.7399 data_time: 0.0208 memory: 17350 grad_norm: 5.6164 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9260 loss: 1.9260 2022/07/23 03:40:52 - mmengine - INFO - Epoch(train) [37][2240/3757] lr: 1.0000e-02 eta: 1 day, 19:55:02 time: 0.5891 data_time: 0.0384 memory: 17350 grad_norm: 5.4719 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9562 loss: 1.9562 2022/07/23 03:41:07 - mmengine - INFO - Epoch(train) [37][2260/3757] lr: 1.0000e-02 eta: 1 day, 19:54:52 time: 0.7465 data_time: 0.0232 memory: 17350 grad_norm: 5.5295 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9250 loss: 1.9250 2022/07/23 03:41:19 - mmengine - INFO - Epoch(train) [37][2280/3757] lr: 1.0000e-02 eta: 1 day, 19:54:37 time: 0.6191 data_time: 0.0243 memory: 17350 grad_norm: 5.2849 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7754 loss: 1.7754 2022/07/23 03:41:33 - mmengine - INFO - Epoch(train) [37][2300/3757] lr: 1.0000e-02 eta: 1 day, 19:54:25 time: 0.6904 data_time: 0.0232 memory: 17350 grad_norm: 5.7109 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8448 loss: 1.8448 2022/07/23 03:41:45 - mmengine - INFO - Epoch(train) [37][2320/3757] lr: 1.0000e-02 eta: 1 day, 19:54:09 time: 0.6065 data_time: 0.0240 memory: 17350 grad_norm: 5.5350 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8326 loss: 1.8326 2022/07/23 03:42:00 - mmengine - INFO - Epoch(train) [37][2340/3757] lr: 1.0000e-02 eta: 1 day, 19:53:58 time: 0.7335 data_time: 0.0217 memory: 17350 grad_norm: 5.6148 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0433 loss: 2.0433 2022/07/23 03:42:12 - mmengine - INFO - Epoch(train) [37][2360/3757] lr: 1.0000e-02 eta: 1 day, 19:53:44 time: 0.6205 data_time: 0.0235 memory: 17350 grad_norm: 5.5957 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1257 loss: 2.1257 2022/07/23 03:42:27 - mmengine - INFO - Epoch(train) [37][2380/3757] lr: 1.0000e-02 eta: 1 day, 19:53:33 time: 0.7293 data_time: 0.0218 memory: 17350 grad_norm: 5.5149 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8605 loss: 1.8605 2022/07/23 03:42:39 - mmengine - INFO - Epoch(train) [37][2400/3757] lr: 1.0000e-02 eta: 1 day, 19:53:17 time: 0.5838 data_time: 0.0226 memory: 17350 grad_norm: 5.5121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8160 loss: 1.8160 2022/07/23 03:42:53 - mmengine - INFO - Epoch(train) [37][2420/3757] lr: 1.0000e-02 eta: 1 day, 19:53:06 time: 0.7394 data_time: 0.0234 memory: 17350 grad_norm: 5.5229 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7217 loss: 1.7217 2022/07/23 03:43:06 - mmengine - INFO - Epoch(train) [37][2440/3757] lr: 1.0000e-02 eta: 1 day, 19:52:52 time: 0.6414 data_time: 0.0238 memory: 17350 grad_norm: 5.3069 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9884 loss: 1.9884 2022/07/23 03:43:20 - mmengine - INFO - Epoch(train) [37][2460/3757] lr: 1.0000e-02 eta: 1 day, 19:52:40 time: 0.7095 data_time: 0.0199 memory: 17350 grad_norm: 5.5718 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0451 loss: 2.0451 2022/07/23 03:43:32 - mmengine - INFO - Epoch(train) [37][2480/3757] lr: 1.0000e-02 eta: 1 day, 19:52:25 time: 0.5975 data_time: 0.0239 memory: 17350 grad_norm: 5.6568 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2516 loss: 2.2516 2022/07/23 03:43:46 - mmengine - INFO - Epoch(train) [37][2500/3757] lr: 1.0000e-02 eta: 1 day, 19:52:13 time: 0.7037 data_time: 0.0217 memory: 17350 grad_norm: 5.6526 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4877 loss: 1.4877 2022/07/23 03:43:58 - mmengine - INFO - Epoch(train) [37][2520/3757] lr: 1.0000e-02 eta: 1 day, 19:51:56 time: 0.5664 data_time: 0.0241 memory: 17350 grad_norm: 5.5050 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7641 loss: 1.7641 2022/07/23 03:44:13 - mmengine - INFO - Epoch(train) [37][2540/3757] lr: 1.0000e-02 eta: 1 day, 19:51:46 time: 0.7496 data_time: 0.0224 memory: 17350 grad_norm: 5.6509 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7535 loss: 1.7535 2022/07/23 03:44:24 - mmengine - INFO - Epoch(train) [37][2560/3757] lr: 1.0000e-02 eta: 1 day, 19:51:29 time: 0.5750 data_time: 0.0221 memory: 17350 grad_norm: 5.8962 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2250 loss: 2.2250 2022/07/23 03:44:40 - mmengine - INFO - Epoch(train) [37][2580/3757] lr: 1.0000e-02 eta: 1 day, 19:51:20 time: 0.7713 data_time: 0.0216 memory: 17350 grad_norm: 5.7755 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9667 loss: 1.9667 2022/07/23 03:44:51 - mmengine - INFO - Epoch(train) [37][2600/3757] lr: 1.0000e-02 eta: 1 day, 19:51:04 time: 0.5897 data_time: 0.0227 memory: 17350 grad_norm: 5.4926 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2291 loss: 2.2291 2022/07/23 03:45:07 - mmengine - INFO - Epoch(train) [37][2620/3757] lr: 1.0000e-02 eta: 1 day, 19:50:54 time: 0.7676 data_time: 0.0226 memory: 17350 grad_norm: 5.7381 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9313 loss: 1.9313 2022/07/23 03:45:19 - mmengine - INFO - Epoch(train) [37][2640/3757] lr: 1.0000e-02 eta: 1 day, 19:50:38 time: 0.5862 data_time: 0.0262 memory: 17350 grad_norm: 5.5729 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2040 loss: 2.2040 2022/07/23 03:45:34 - mmengine - INFO - Epoch(train) [37][2660/3757] lr: 1.0000e-02 eta: 1 day, 19:50:29 time: 0.7674 data_time: 0.0214 memory: 17350 grad_norm: 5.8112 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8235 loss: 1.8235 2022/07/23 03:45:46 - mmengine - INFO - Epoch(train) [37][2680/3757] lr: 1.0000e-02 eta: 1 day, 19:50:14 time: 0.6120 data_time: 0.0222 memory: 17350 grad_norm: 5.6980 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7800 loss: 1.7800 2022/07/23 03:46:01 - mmengine - INFO - Epoch(train) [37][2700/3757] lr: 1.0000e-02 eta: 1 day, 19:50:03 time: 0.7535 data_time: 0.0215 memory: 17350 grad_norm: 5.5573 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9591 loss: 1.9591 2022/07/23 03:46:13 - mmengine - INFO - Epoch(train) [37][2720/3757] lr: 1.0000e-02 eta: 1 day, 19:49:47 time: 0.5629 data_time: 0.0218 memory: 17350 grad_norm: 5.4926 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6774 loss: 1.6774 2022/07/23 03:46:27 - mmengine - INFO - Epoch(train) [37][2740/3757] lr: 1.0000e-02 eta: 1 day, 19:49:35 time: 0.7190 data_time: 0.0223 memory: 17350 grad_norm: 5.3682 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7762 loss: 1.7762 2022/07/23 03:46:32 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 03:46:39 - mmengine - INFO - Epoch(train) [37][2760/3757] lr: 1.0000e-02 eta: 1 day, 19:49:20 time: 0.6012 data_time: 0.0224 memory: 17350 grad_norm: 5.4295 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1102 loss: 2.1102 2022/07/23 03:46:54 - mmengine - INFO - Epoch(train) [37][2780/3757] lr: 1.0000e-02 eta: 1 day, 19:49:09 time: 0.7286 data_time: 0.0232 memory: 17350 grad_norm: 5.4471 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8488 loss: 1.8488 2022/07/23 03:47:05 - mmengine - INFO - Epoch(train) [37][2800/3757] lr: 1.0000e-02 eta: 1 day, 19:48:53 time: 0.5796 data_time: 0.0241 memory: 17350 grad_norm: 5.5433 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6368 loss: 1.6368 2022/07/23 03:47:20 - mmengine - INFO - Epoch(train) [37][2820/3757] lr: 1.0000e-02 eta: 1 day, 19:48:42 time: 0.7389 data_time: 0.0215 memory: 17350 grad_norm: 5.7886 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7642 loss: 1.7642 2022/07/23 03:47:32 - mmengine - INFO - Epoch(train) [37][2840/3757] lr: 1.0000e-02 eta: 1 day, 19:48:26 time: 0.5937 data_time: 0.0232 memory: 17350 grad_norm: 5.6614 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9368 loss: 1.9368 2022/07/23 03:47:46 - mmengine - INFO - Epoch(train) [37][2860/3757] lr: 1.0000e-02 eta: 1 day, 19:48:15 time: 0.7153 data_time: 0.0217 memory: 17350 grad_norm: 5.7052 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9048 loss: 1.9048 2022/07/23 03:47:58 - mmengine - INFO - Epoch(train) [37][2880/3757] lr: 1.0000e-02 eta: 1 day, 19:47:59 time: 0.5752 data_time: 0.0207 memory: 17350 grad_norm: 5.5886 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7764 loss: 1.7764 2022/07/23 03:48:12 - mmengine - INFO - Epoch(train) [37][2900/3757] lr: 1.0000e-02 eta: 1 day, 19:47:48 time: 0.7361 data_time: 0.0208 memory: 17350 grad_norm: 5.4881 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9235 loss: 1.9235 2022/07/23 03:48:24 - mmengine - INFO - Epoch(train) [37][2920/3757] lr: 1.0000e-02 eta: 1 day, 19:47:32 time: 0.5782 data_time: 0.0249 memory: 17350 grad_norm: 5.3390 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6922 loss: 1.6922 2022/07/23 03:48:39 - mmengine - INFO - Epoch(train) [37][2940/3757] lr: 1.0000e-02 eta: 1 day, 19:47:22 time: 0.7657 data_time: 0.0234 memory: 17350 grad_norm: 5.6298 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8107 loss: 1.8107 2022/07/23 03:48:51 - mmengine - INFO - Epoch(train) [37][2960/3757] lr: 1.0000e-02 eta: 1 day, 19:47:07 time: 0.6060 data_time: 0.0235 memory: 17350 grad_norm: 5.6643 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8841 loss: 1.8841 2022/07/23 03:49:05 - mmengine - INFO - Epoch(train) [37][2980/3757] lr: 1.0000e-02 eta: 1 day, 19:46:54 time: 0.6879 data_time: 0.0242 memory: 17350 grad_norm: 5.3665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8837 loss: 1.8837 2022/07/23 03:49:18 - mmengine - INFO - Epoch(train) [37][3000/3757] lr: 1.0000e-02 eta: 1 day, 19:46:40 time: 0.6295 data_time: 0.0225 memory: 17350 grad_norm: 5.4031 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6611 loss: 1.6611 2022/07/23 03:49:33 - mmengine - INFO - Epoch(train) [37][3020/3757] lr: 1.0000e-02 eta: 1 day, 19:46:30 time: 0.7823 data_time: 0.0229 memory: 17350 grad_norm: 5.5744 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6549 loss: 1.6549 2022/07/23 03:49:44 - mmengine - INFO - Epoch(train) [37][3040/3757] lr: 1.0000e-02 eta: 1 day, 19:46:13 time: 0.5458 data_time: 0.0225 memory: 17350 grad_norm: 5.7278 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0513 loss: 2.0513 2022/07/23 03:49:59 - mmengine - INFO - Epoch(train) [37][3060/3757] lr: 1.0000e-02 eta: 1 day, 19:46:03 time: 0.7422 data_time: 0.0223 memory: 17350 grad_norm: 5.6427 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8905 loss: 1.8905 2022/07/23 03:50:12 - mmengine - INFO - Epoch(train) [37][3080/3757] lr: 1.0000e-02 eta: 1 day, 19:45:49 time: 0.6505 data_time: 0.0244 memory: 17350 grad_norm: 5.3721 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6673 loss: 1.6673 2022/07/23 03:50:26 - mmengine - INFO - Epoch(train) [37][3100/3757] lr: 1.0000e-02 eta: 1 day, 19:45:37 time: 0.7106 data_time: 0.0237 memory: 17350 grad_norm: 5.6923 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7369 loss: 1.7369 2022/07/23 03:50:39 - mmengine - INFO - Epoch(train) [37][3120/3757] lr: 1.0000e-02 eta: 1 day, 19:45:23 time: 0.6486 data_time: 0.0249 memory: 17350 grad_norm: 5.4903 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7896 loss: 1.7896 2022/07/23 03:50:52 - mmengine - INFO - Epoch(train) [37][3140/3757] lr: 1.0000e-02 eta: 1 day, 19:45:09 time: 0.6257 data_time: 0.0221 memory: 17350 grad_norm: 5.4687 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.6481 loss: 1.6481 2022/07/23 03:51:06 - mmengine - INFO - Epoch(train) [37][3160/3757] lr: 1.0000e-02 eta: 1 day, 19:44:56 time: 0.6882 data_time: 0.0221 memory: 17350 grad_norm: 5.6926 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0854 loss: 2.0854 2022/07/23 03:51:19 - mmengine - INFO - Epoch(train) [37][3180/3757] lr: 1.0000e-02 eta: 1 day, 19:44:44 time: 0.6850 data_time: 0.0231 memory: 17350 grad_norm: 5.5072 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0076 loss: 2.0076 2022/07/23 03:51:34 - mmengine - INFO - Epoch(train) [37][3200/3757] lr: 1.0000e-02 eta: 1 day, 19:44:33 time: 0.7247 data_time: 0.0231 memory: 17350 grad_norm: 5.4439 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9313 loss: 1.9313 2022/07/23 03:51:47 - mmengine - INFO - Epoch(train) [37][3220/3757] lr: 1.0000e-02 eta: 1 day, 19:44:19 time: 0.6432 data_time: 0.0228 memory: 17350 grad_norm: 5.5349 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0144 loss: 2.0144 2022/07/23 03:51:59 - mmengine - INFO - Epoch(train) [37][3240/3757] lr: 1.0000e-02 eta: 1 day, 19:44:03 time: 0.6033 data_time: 0.0233 memory: 17350 grad_norm: 5.5134 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7829 loss: 1.7829 2022/07/23 03:52:13 - mmengine - INFO - Epoch(train) [37][3260/3757] lr: 1.0000e-02 eta: 1 day, 19:43:51 time: 0.6903 data_time: 0.0245 memory: 17350 grad_norm: 5.6295 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8441 loss: 1.8441 2022/07/23 03:52:26 - mmengine - INFO - Epoch(train) [37][3280/3757] lr: 1.0000e-02 eta: 1 day, 19:43:38 time: 0.6851 data_time: 0.0219 memory: 17350 grad_norm: 5.4400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6370 loss: 1.6370 2022/07/23 03:52:40 - mmengine - INFO - Epoch(train) [37][3300/3757] lr: 1.0000e-02 eta: 1 day, 19:43:26 time: 0.6823 data_time: 0.0252 memory: 17350 grad_norm: 5.4356 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8068 loss: 1.8068 2022/07/23 03:52:53 - mmengine - INFO - Epoch(train) [37][3320/3757] lr: 1.0000e-02 eta: 1 day, 19:43:12 time: 0.6558 data_time: 0.0246 memory: 17350 grad_norm: 5.5167 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6266 loss: 1.6266 2022/07/23 03:53:07 - mmengine - INFO - Epoch(train) [37][3340/3757] lr: 1.0000e-02 eta: 1 day, 19:43:00 time: 0.7001 data_time: 0.0223 memory: 17350 grad_norm: 5.4964 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0150 loss: 2.0150 2022/07/23 03:53:20 - mmengine - INFO - Epoch(train) [37][3360/3757] lr: 1.0000e-02 eta: 1 day, 19:42:46 time: 0.6264 data_time: 0.0242 memory: 17350 grad_norm: 5.6768 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6788 loss: 1.6788 2022/07/23 03:53:34 - mmengine - INFO - Epoch(train) [37][3380/3757] lr: 1.0000e-02 eta: 1 day, 19:42:34 time: 0.7236 data_time: 0.0229 memory: 17350 grad_norm: 5.5191 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8334 loss: 1.8334 2022/07/23 03:53:47 - mmengine - INFO - Epoch(train) [37][3400/3757] lr: 1.0000e-02 eta: 1 day, 19:42:20 time: 0.6240 data_time: 0.0226 memory: 17350 grad_norm: 5.6063 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9407 loss: 1.9407 2022/07/23 03:53:59 - mmengine - INFO - Epoch(train) [37][3420/3757] lr: 1.0000e-02 eta: 1 day, 19:42:05 time: 0.6325 data_time: 0.0221 memory: 17350 grad_norm: 5.6427 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6840 loss: 1.6840 2022/07/23 03:54:13 - mmengine - INFO - Epoch(train) [37][3440/3757] lr: 1.0000e-02 eta: 1 day, 19:41:53 time: 0.6987 data_time: 0.0221 memory: 17350 grad_norm: 5.6298 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0872 loss: 2.0872 2022/07/23 03:54:27 - mmengine - INFO - Epoch(train) [37][3460/3757] lr: 1.0000e-02 eta: 1 day, 19:41:40 time: 0.6714 data_time: 0.0231 memory: 17350 grad_norm: 5.4086 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7471 loss: 1.7471 2022/07/23 03:54:39 - mmengine - INFO - Epoch(train) [37][3480/3757] lr: 1.0000e-02 eta: 1 day, 19:41:26 time: 0.6247 data_time: 0.0231 memory: 17350 grad_norm: 5.6591 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7088 loss: 1.7088 2022/07/23 03:54:54 - mmengine - INFO - Epoch(train) [37][3500/3757] lr: 1.0000e-02 eta: 1 day, 19:41:14 time: 0.7124 data_time: 0.0226 memory: 17350 grad_norm: 5.3321 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8059 loss: 1.8059 2022/07/23 03:55:06 - mmengine - INFO - Epoch(train) [37][3520/3757] lr: 1.0000e-02 eta: 1 day, 19:41:00 time: 0.6309 data_time: 0.0230 memory: 17350 grad_norm: 5.3998 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5724 loss: 1.5724 2022/07/23 03:55:20 - mmengine - INFO - Epoch(train) [37][3540/3757] lr: 1.0000e-02 eta: 1 day, 19:40:47 time: 0.6872 data_time: 0.0215 memory: 17350 grad_norm: 5.6755 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9902 loss: 1.9902 2022/07/23 03:55:34 - mmengine - INFO - Epoch(train) [37][3560/3757] lr: 1.0000e-02 eta: 1 day, 19:40:35 time: 0.7052 data_time: 0.0227 memory: 17350 grad_norm: 5.3442 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6756 loss: 1.6756 2022/07/23 03:55:47 - mmengine - INFO - Epoch(train) [37][3580/3757] lr: 1.0000e-02 eta: 1 day, 19:40:22 time: 0.6556 data_time: 0.0235 memory: 17350 grad_norm: 5.5430 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6594 loss: 1.6594 2022/07/23 03:56:01 - mmengine - INFO - Epoch(train) [37][3600/3757] lr: 1.0000e-02 eta: 1 day, 19:40:10 time: 0.6943 data_time: 0.0226 memory: 17350 grad_norm: 5.5050 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6355 loss: 1.6355 2022/07/23 03:56:14 - mmengine - INFO - Epoch(train) [37][3620/3757] lr: 1.0000e-02 eta: 1 day, 19:39:55 time: 0.6261 data_time: 0.0241 memory: 17350 grad_norm: 5.6360 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7794 loss: 1.7794 2022/07/23 03:56:28 - mmengine - INFO - Epoch(train) [37][3640/3757] lr: 1.0000e-02 eta: 1 day, 19:39:43 time: 0.7125 data_time: 0.0229 memory: 17350 grad_norm: 5.4617 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9363 loss: 1.9363 2022/07/23 03:56:41 - mmengine - INFO - Epoch(train) [37][3660/3757] lr: 1.0000e-02 eta: 1 day, 19:39:29 time: 0.6426 data_time: 0.0247 memory: 17350 grad_norm: 5.5202 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3254 loss: 2.3254 2022/07/23 03:56:53 - mmengine - INFO - Epoch(train) [37][3680/3757] lr: 1.0000e-02 eta: 1 day, 19:39:14 time: 0.6170 data_time: 0.0216 memory: 17350 grad_norm: 5.7100 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7827 loss: 1.7827 2022/07/23 03:57:07 - mmengine - INFO - Epoch(train) [37][3700/3757] lr: 1.0000e-02 eta: 1 day, 19:39:02 time: 0.6946 data_time: 0.0227 memory: 17350 grad_norm: 5.5733 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9567 loss: 1.9567 2022/07/23 03:57:19 - mmengine - INFO - Epoch(train) [37][3720/3757] lr: 1.0000e-02 eta: 1 day, 19:38:46 time: 0.5804 data_time: 0.0238 memory: 17350 grad_norm: 5.2348 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7879 loss: 1.7879 2022/07/23 03:57:32 - mmengine - INFO - Epoch(train) [37][3740/3757] lr: 1.0000e-02 eta: 1 day, 19:38:33 time: 0.6708 data_time: 0.0225 memory: 17350 grad_norm: 5.4758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7115 loss: 1.7115 2022/07/23 03:57:37 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 03:57:40 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 03:57:40 - mmengine - INFO - Epoch(train) [37][3757/3757] lr: 1.0000e-02 eta: 1 day, 19:38:33 time: 0.4616 data_time: 0.0240 memory: 17350 grad_norm: 5.4422 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.5777 loss: 1.5777 2022/07/23 03:57:57 - mmengine - INFO - Epoch(val) [37][20/310] eta: 0:03:57 time: 0.8173 data_time: 0.7020 memory: 3406 2022/07/23 03:58:07 - mmengine - INFO - Epoch(val) [37][40/310] eta: 0:02:24 time: 0.5350 data_time: 0.4227 memory: 3406 2022/07/23 03:58:22 - mmengine - INFO - Epoch(val) [37][60/310] eta: 0:03:05 time: 0.7429 data_time: 0.6285 memory: 3406 2022/07/23 03:58:33 - mmengine - INFO - Epoch(val) [37][80/310] eta: 0:02:09 time: 0.5620 data_time: 0.4484 memory: 3406 2022/07/23 03:58:48 - mmengine - INFO - Epoch(val) [37][100/310] eta: 0:02:32 time: 0.7273 data_time: 0.6130 memory: 3406 2022/07/23 03:59:00 - mmengine - INFO - Epoch(val) [37][120/310] eta: 0:01:56 time: 0.6128 data_time: 0.4961 memory: 3406 2022/07/23 03:59:15 - mmengine - INFO - Epoch(val) [37][140/310] eta: 0:02:04 time: 0.7345 data_time: 0.6195 memory: 3406 2022/07/23 03:59:28 - mmengine - INFO - Epoch(val) [37][160/310] eta: 0:01:36 time: 0.6467 data_time: 0.5343 memory: 3406 2022/07/23 03:59:41 - mmengine - INFO - Epoch(val) [37][180/310] eta: 0:01:27 time: 0.6715 data_time: 0.5574 memory: 3406 2022/07/23 03:59:54 - mmengine - INFO - Epoch(val) [37][200/310] eta: 0:01:11 time: 0.6504 data_time: 0.5373 memory: 3406 2022/07/23 04:00:08 - mmengine - INFO - Epoch(val) [37][220/310] eta: 0:01:03 time: 0.7071 data_time: 0.5944 memory: 3406 2022/07/23 04:00:20 - mmengine - INFO - Epoch(val) [37][240/310] eta: 0:00:41 time: 0.5915 data_time: 0.4766 memory: 3406 2022/07/23 04:00:34 - mmengine - INFO - Epoch(val) [37][260/310] eta: 0:00:35 time: 0.7148 data_time: 0.5949 memory: 3406 2022/07/23 04:00:47 - mmengine - INFO - Epoch(val) [37][280/310] eta: 0:00:18 time: 0.6040 data_time: 0.4901 memory: 3406 2022/07/23 04:01:01 - mmengine - INFO - Epoch(val) [37][300/310] eta: 0:00:07 time: 0.7066 data_time: 0.5940 memory: 3406 2022/07/23 04:01:07 - mmengine - INFO - Epoch(val) [37][310/310] acc/top1: 0.5929 acc/top5: 0.8209 acc/mean1: 0.5928 2022/07/23 04:01:07 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_35.pth is removed 2022/07/23 04:01:12 - mmengine - INFO - The best checkpoint with 0.5929 acc/top1 at 38 epoch is saved to best_acc/top1_epoch_38.pth. 2022/07/23 04:01:27 - mmengine - INFO - Epoch(train) [38][20/3757] lr: 1.0000e-02 eta: 1 day, 19:37:53 time: 0.7651 data_time: 0.4329 memory: 17350 grad_norm: 5.6898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9404 loss: 1.9404 2022/07/23 04:01:38 - mmengine - INFO - Epoch(train) [38][40/3757] lr: 1.0000e-02 eta: 1 day, 19:37:36 time: 0.5568 data_time: 0.2301 memory: 17350 grad_norm: 5.5069 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9246 loss: 1.9246 2022/07/23 04:01:53 - mmengine - INFO - Epoch(train) [38][60/3757] lr: 1.0000e-02 eta: 1 day, 19:37:25 time: 0.7355 data_time: 0.4054 memory: 17350 grad_norm: 5.4624 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8126 loss: 1.8126 2022/07/23 04:02:06 - mmengine - INFO - Epoch(train) [38][80/3757] lr: 1.0000e-02 eta: 1 day, 19:37:11 time: 0.6338 data_time: 0.2984 memory: 17350 grad_norm: 5.6446 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8464 loss: 1.8464 2022/07/23 04:02:19 - mmengine - INFO - Epoch(train) [38][100/3757] lr: 1.0000e-02 eta: 1 day, 19:36:58 time: 0.6891 data_time: 0.3578 memory: 17350 grad_norm: 5.7553 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8314 loss: 1.8314 2022/07/23 04:02:32 - mmengine - INFO - Epoch(train) [38][120/3757] lr: 1.0000e-02 eta: 1 day, 19:36:44 time: 0.6330 data_time: 0.2923 memory: 17350 grad_norm: 5.5200 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4490 loss: 1.4490 2022/07/23 04:02:47 - mmengine - INFO - Epoch(train) [38][140/3757] lr: 1.0000e-02 eta: 1 day, 19:36:33 time: 0.7412 data_time: 0.4108 memory: 17350 grad_norm: 5.2256 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7414 loss: 1.7414 2022/07/23 04:02:59 - mmengine - INFO - Epoch(train) [38][160/3757] lr: 1.0000e-02 eta: 1 day, 19:36:18 time: 0.5906 data_time: 0.2628 memory: 17350 grad_norm: 5.6706 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6807 loss: 1.6807 2022/07/23 04:03:14 - mmengine - INFO - Epoch(train) [38][180/3757] lr: 1.0000e-02 eta: 1 day, 19:36:08 time: 0.7581 data_time: 0.4221 memory: 17350 grad_norm: 5.3838 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6467 loss: 1.6467 2022/07/23 04:03:26 - mmengine - INFO - Epoch(train) [38][200/3757] lr: 1.0000e-02 eta: 1 day, 19:35:52 time: 0.6069 data_time: 0.2754 memory: 17350 grad_norm: 5.5331 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9689 loss: 1.9689 2022/07/23 04:03:40 - mmengine - INFO - Epoch(train) [38][220/3757] lr: 1.0000e-02 eta: 1 day, 19:35:40 time: 0.7003 data_time: 0.3726 memory: 17350 grad_norm: 5.6432 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8645 loss: 1.8645 2022/07/23 04:03:52 - mmengine - INFO - Epoch(train) [38][240/3757] lr: 1.0000e-02 eta: 1 day, 19:35:25 time: 0.6104 data_time: 0.2799 memory: 17350 grad_norm: 5.7015 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0399 loss: 2.0399 2022/07/23 04:04:07 - mmengine - INFO - Epoch(train) [38][260/3757] lr: 1.0000e-02 eta: 1 day, 19:35:14 time: 0.7164 data_time: 0.3877 memory: 17350 grad_norm: 5.4264 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2096 loss: 2.2096 2022/07/23 04:04:19 - mmengine - INFO - Epoch(train) [38][280/3757] lr: 1.0000e-02 eta: 1 day, 19:34:59 time: 0.6059 data_time: 0.2746 memory: 17350 grad_norm: 5.3525 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5602 loss: 1.5602 2022/07/23 04:04:33 - mmengine - INFO - Epoch(train) [38][300/3757] lr: 1.0000e-02 eta: 1 day, 19:34:47 time: 0.7142 data_time: 0.3856 memory: 17350 grad_norm: 5.4434 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.8016 loss: 1.8016 2022/07/23 04:04:46 - mmengine - INFO - Epoch(train) [38][320/3757] lr: 1.0000e-02 eta: 1 day, 19:34:33 time: 0.6283 data_time: 0.2953 memory: 17350 grad_norm: 5.4193 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7815 loss: 1.7815 2022/07/23 04:04:59 - mmengine - INFO - Epoch(train) [38][340/3757] lr: 1.0000e-02 eta: 1 day, 19:34:20 time: 0.6953 data_time: 0.3671 memory: 17350 grad_norm: 5.4245 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5117 loss: 1.5117 2022/07/23 04:05:12 - mmengine - INFO - Epoch(train) [38][360/3757] lr: 1.0000e-02 eta: 1 day, 19:34:06 time: 0.6276 data_time: 0.2969 memory: 17350 grad_norm: 5.4935 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9336 loss: 1.9336 2022/07/23 04:05:28 - mmengine - INFO - Epoch(train) [38][380/3757] lr: 1.0000e-02 eta: 1 day, 19:33:56 time: 0.7797 data_time: 0.4479 memory: 17350 grad_norm: 5.4801 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9988 loss: 1.9988 2022/07/23 04:05:39 - mmengine - INFO - Epoch(train) [38][400/3757] lr: 1.0000e-02 eta: 1 day, 19:33:40 time: 0.5809 data_time: 0.2345 memory: 17350 grad_norm: 5.5219 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9045 loss: 1.9045 2022/07/23 04:05:54 - mmengine - INFO - Epoch(train) [38][420/3757] lr: 1.0000e-02 eta: 1 day, 19:33:30 time: 0.7484 data_time: 0.4008 memory: 17350 grad_norm: 5.4877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8132 loss: 1.8132 2022/07/23 04:06:06 - mmengine - INFO - Epoch(train) [38][440/3757] lr: 1.0000e-02 eta: 1 day, 19:33:15 time: 0.6034 data_time: 0.2654 memory: 17350 grad_norm: 5.5555 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5235 loss: 1.5235 2022/07/23 04:06:20 - mmengine - INFO - Epoch(train) [38][460/3757] lr: 1.0000e-02 eta: 1 day, 19:33:03 time: 0.7021 data_time: 0.3617 memory: 17350 grad_norm: 5.4652 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5923 loss: 1.5923 2022/07/23 04:06:33 - mmengine - INFO - Epoch(train) [38][480/3757] lr: 1.0000e-02 eta: 1 day, 19:32:48 time: 0.6199 data_time: 0.2814 memory: 17350 grad_norm: 5.7061 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7874 loss: 1.7874 2022/07/23 04:06:47 - mmengine - INFO - Epoch(train) [38][500/3757] lr: 1.0000e-02 eta: 1 day, 19:32:37 time: 0.7367 data_time: 0.3762 memory: 17350 grad_norm: 5.6642 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7340 loss: 1.7340 2022/07/23 04:06:59 - mmengine - INFO - Epoch(train) [38][520/3757] lr: 1.0000e-02 eta: 1 day, 19:32:21 time: 0.5911 data_time: 0.2279 memory: 17350 grad_norm: 5.7031 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1341 loss: 2.1341 2022/07/23 04:07:14 - mmengine - INFO - Epoch(train) [38][540/3757] lr: 1.0000e-02 eta: 1 day, 19:32:10 time: 0.7237 data_time: 0.3728 memory: 17350 grad_norm: 5.5209 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0216 loss: 2.0216 2022/07/23 04:07:26 - mmengine - INFO - Epoch(train) [38][560/3757] lr: 1.0000e-02 eta: 1 day, 19:31:55 time: 0.6031 data_time: 0.2479 memory: 17350 grad_norm: 5.3848 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9071 loss: 1.9071 2022/07/23 04:07:40 - mmengine - INFO - Epoch(train) [38][580/3757] lr: 1.0000e-02 eta: 1 day, 19:31:43 time: 0.7047 data_time: 0.3742 memory: 17350 grad_norm: 5.5259 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8682 loss: 1.8682 2022/07/23 04:07:52 - mmengine - INFO - Epoch(train) [38][600/3757] lr: 1.0000e-02 eta: 1 day, 19:31:28 time: 0.6199 data_time: 0.2854 memory: 17350 grad_norm: 5.5298 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7356 loss: 1.7356 2022/07/23 04:08:07 - mmengine - INFO - Epoch(train) [38][620/3757] lr: 1.0000e-02 eta: 1 day, 19:31:17 time: 0.7330 data_time: 0.3779 memory: 17350 grad_norm: 5.9505 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7441 loss: 1.7441 2022/07/23 04:08:19 - mmengine - INFO - Epoch(train) [38][640/3757] lr: 1.0000e-02 eta: 1 day, 19:31:02 time: 0.5946 data_time: 0.2102 memory: 17350 grad_norm: 5.5495 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5941 loss: 1.5941 2022/07/23 04:08:33 - mmengine - INFO - Epoch(train) [38][660/3757] lr: 1.0000e-02 eta: 1 day, 19:30:50 time: 0.7069 data_time: 0.3352 memory: 17350 grad_norm: 5.5289 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8005 loss: 1.8005 2022/07/23 04:08:45 - mmengine - INFO - Epoch(train) [38][680/3757] lr: 1.0000e-02 eta: 1 day, 19:30:34 time: 0.5836 data_time: 0.2242 memory: 17350 grad_norm: 5.6350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5174 loss: 1.5174 2022/07/23 04:08:59 - mmengine - INFO - Epoch(train) [38][700/3757] lr: 1.0000e-02 eta: 1 day, 19:30:22 time: 0.7178 data_time: 0.3862 memory: 17350 grad_norm: 5.4229 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7463 loss: 1.7463 2022/07/23 04:09:11 - mmengine - INFO - Epoch(train) [38][720/3757] lr: 1.0000e-02 eta: 1 day, 19:30:07 time: 0.6039 data_time: 0.2570 memory: 17350 grad_norm: 5.4970 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7368 loss: 1.7368 2022/07/23 04:09:26 - mmengine - INFO - Epoch(train) [38][740/3757] lr: 1.0000e-02 eta: 1 day, 19:29:57 time: 0.7556 data_time: 0.3667 memory: 17350 grad_norm: 5.7008 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5922 loss: 1.5922 2022/07/23 04:09:38 - mmengine - INFO - Epoch(train) [38][760/3757] lr: 1.0000e-02 eta: 1 day, 19:29:40 time: 0.5625 data_time: 0.2266 memory: 17350 grad_norm: 5.7730 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0982 loss: 2.0982 2022/07/23 04:09:52 - mmengine - INFO - Epoch(train) [38][780/3757] lr: 1.0000e-02 eta: 1 day, 19:29:29 time: 0.7200 data_time: 0.3284 memory: 17350 grad_norm: 5.4867 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8228 loss: 1.8228 2022/07/23 04:10:06 - mmengine - INFO - Epoch(train) [38][800/3757] lr: 1.0000e-02 eta: 1 day, 19:29:17 time: 0.6956 data_time: 0.3528 memory: 17350 grad_norm: 5.6689 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8234 loss: 1.8234 2022/07/23 04:10:18 - mmengine - INFO - Epoch(train) [38][820/3757] lr: 1.0000e-02 eta: 1 day, 19:29:02 time: 0.6218 data_time: 0.2738 memory: 17350 grad_norm: 5.6450 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7855 loss: 1.7855 2022/07/23 04:10:31 - mmengine - INFO - Epoch(train) [38][840/3757] lr: 1.0000e-02 eta: 1 day, 19:28:47 time: 0.6258 data_time: 0.2649 memory: 17350 grad_norm: 5.6794 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6673 loss: 1.6673 2022/07/23 04:10:46 - mmengine - INFO - Epoch(train) [38][860/3757] lr: 1.0000e-02 eta: 1 day, 19:28:37 time: 0.7584 data_time: 0.4227 memory: 17350 grad_norm: 5.7379 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8354 loss: 1.8354 2022/07/23 04:10:58 - mmengine - INFO - Epoch(train) [38][880/3757] lr: 1.0000e-02 eta: 1 day, 19:28:22 time: 0.6058 data_time: 0.2411 memory: 17350 grad_norm: 5.6004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9210 loss: 1.9210 2022/07/23 04:11:12 - mmengine - INFO - Epoch(train) [38][900/3757] lr: 1.0000e-02 eta: 1 day, 19:28:10 time: 0.6986 data_time: 0.3173 memory: 17350 grad_norm: 5.5511 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6828 loss: 1.6828 2022/07/23 04:11:24 - mmengine - INFO - Epoch(train) [38][920/3757] lr: 1.0000e-02 eta: 1 day, 19:27:55 time: 0.6082 data_time: 0.2076 memory: 17350 grad_norm: 5.4562 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5672 loss: 1.5672 2022/07/23 04:11:39 - mmengine - INFO - Epoch(train) [38][940/3757] lr: 1.0000e-02 eta: 1 day, 19:27:44 time: 0.7221 data_time: 0.3253 memory: 17350 grad_norm: 5.6191 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9776 loss: 1.9776 2022/07/23 04:11:51 - mmengine - INFO - Epoch(train) [38][960/3757] lr: 1.0000e-02 eta: 1 day, 19:27:29 time: 0.6207 data_time: 0.1919 memory: 17350 grad_norm: 5.5649 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7660 loss: 1.7660 2022/07/23 04:12:05 - mmengine - INFO - Epoch(train) [38][980/3757] lr: 1.0000e-02 eta: 1 day, 19:27:17 time: 0.7031 data_time: 0.2858 memory: 17350 grad_norm: 5.6275 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8519 loss: 1.8519 2022/07/23 04:12:12 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 04:12:18 - mmengine - INFO - Epoch(train) [38][1000/3757] lr: 1.0000e-02 eta: 1 day, 19:27:03 time: 0.6347 data_time: 0.2414 memory: 17350 grad_norm: 5.5025 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9388 loss: 1.9388 2022/07/23 04:12:33 - mmengine - INFO - Epoch(train) [38][1020/3757] lr: 1.0000e-02 eta: 1 day, 19:26:52 time: 0.7316 data_time: 0.3957 memory: 17350 grad_norm: 5.4494 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7390 loss: 1.7390 2022/07/23 04:12:44 - mmengine - INFO - Epoch(train) [38][1040/3757] lr: 1.0000e-02 eta: 1 day, 19:26:36 time: 0.5892 data_time: 0.2479 memory: 17350 grad_norm: 5.4029 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0308 loss: 2.0308 2022/07/23 04:12:58 - mmengine - INFO - Epoch(train) [38][1060/3757] lr: 1.0000e-02 eta: 1 day, 19:26:23 time: 0.6879 data_time: 0.3510 memory: 17350 grad_norm: 5.5021 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6248 loss: 1.6248 2022/07/23 04:13:11 - mmengine - INFO - Epoch(train) [38][1080/3757] lr: 1.0000e-02 eta: 1 day, 19:26:09 time: 0.6384 data_time: 0.1478 memory: 17350 grad_norm: 5.7024 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8272 loss: 1.8272 2022/07/23 04:13:24 - mmengine - INFO - Epoch(train) [38][1100/3757] lr: 1.0000e-02 eta: 1 day, 19:25:56 time: 0.6641 data_time: 0.1583 memory: 17350 grad_norm: 5.7281 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8694 loss: 1.8694 2022/07/23 04:13:39 - mmengine - INFO - Epoch(train) [38][1120/3757] lr: 1.0000e-02 eta: 1 day, 19:25:45 time: 0.7334 data_time: 0.0225 memory: 17350 grad_norm: 5.5324 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8983 loss: 1.8983 2022/07/23 04:13:51 - mmengine - INFO - Epoch(train) [38][1140/3757] lr: 1.0000e-02 eta: 1 day, 19:25:30 time: 0.6217 data_time: 0.0285 memory: 17350 grad_norm: 5.6544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7540 loss: 1.7540 2022/07/23 04:14:07 - mmengine - INFO - Epoch(train) [38][1160/3757] lr: 1.0000e-02 eta: 1 day, 19:25:21 time: 0.7734 data_time: 0.0235 memory: 17350 grad_norm: 5.6286 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9020 loss: 1.9020 2022/07/23 04:14:18 - mmengine - INFO - Epoch(train) [38][1180/3757] lr: 1.0000e-02 eta: 1 day, 19:25:04 time: 0.5426 data_time: 0.0252 memory: 17350 grad_norm: 5.4137 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6722 loss: 1.6722 2022/07/23 04:14:32 - mmengine - INFO - Epoch(train) [38][1200/3757] lr: 1.0000e-02 eta: 1 day, 19:24:53 time: 0.7336 data_time: 0.0985 memory: 17350 grad_norm: 5.4686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0558 loss: 2.0558 2022/07/23 04:14:45 - mmengine - INFO - Epoch(train) [38][1220/3757] lr: 1.0000e-02 eta: 1 day, 19:24:38 time: 0.6102 data_time: 0.0940 memory: 17350 grad_norm: 5.5493 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6933 loss: 1.6933 2022/07/23 04:14:59 - mmengine - INFO - Epoch(train) [38][1240/3757] lr: 1.0000e-02 eta: 1 day, 19:24:26 time: 0.6999 data_time: 0.1532 memory: 17350 grad_norm: 5.6133 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0414 loss: 2.0414 2022/07/23 04:15:11 - mmengine - INFO - Epoch(train) [38][1260/3757] lr: 1.0000e-02 eta: 1 day, 19:24:11 time: 0.6230 data_time: 0.1023 memory: 17350 grad_norm: 5.8258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7743 loss: 1.7743 2022/07/23 04:15:26 - mmengine - INFO - Epoch(train) [38][1280/3757] lr: 1.0000e-02 eta: 1 day, 19:24:00 time: 0.7426 data_time: 0.1472 memory: 17350 grad_norm: 5.6409 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7629 loss: 1.7629 2022/07/23 04:15:38 - mmengine - INFO - Epoch(train) [38][1300/3757] lr: 1.0000e-02 eta: 1 day, 19:23:44 time: 0.5773 data_time: 0.1283 memory: 17350 grad_norm: 5.8126 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2137 loss: 2.2137 2022/07/23 04:15:52 - mmengine - INFO - Epoch(train) [38][1320/3757] lr: 1.0000e-02 eta: 1 day, 19:23:33 time: 0.7340 data_time: 0.2705 memory: 17350 grad_norm: 5.5586 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7930 loss: 1.7930 2022/07/23 04:16:05 - mmengine - INFO - Epoch(train) [38][1340/3757] lr: 1.0000e-02 eta: 1 day, 19:23:19 time: 0.6316 data_time: 0.2448 memory: 17350 grad_norm: 5.5406 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8470 loss: 1.8470 2022/07/23 04:16:20 - mmengine - INFO - Epoch(train) [38][1360/3757] lr: 1.0000e-02 eta: 1 day, 19:23:08 time: 0.7318 data_time: 0.3442 memory: 17350 grad_norm: 5.6942 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7249 loss: 1.7249 2022/07/23 04:16:32 - mmengine - INFO - Epoch(train) [38][1380/3757] lr: 1.0000e-02 eta: 1 day, 19:22:53 time: 0.6028 data_time: 0.1656 memory: 17350 grad_norm: 5.5302 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9210 loss: 1.9210 2022/07/23 04:16:46 - mmengine - INFO - Epoch(train) [38][1400/3757] lr: 1.0000e-02 eta: 1 day, 19:22:41 time: 0.7083 data_time: 0.2439 memory: 17350 grad_norm: 5.5990 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5435 loss: 1.5435 2022/07/23 04:16:57 - mmengine - INFO - Epoch(train) [38][1420/3757] lr: 1.0000e-02 eta: 1 day, 19:22:25 time: 0.5832 data_time: 0.1522 memory: 17350 grad_norm: 5.6304 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7497 loss: 1.7497 2022/07/23 04:17:12 - mmengine - INFO - Epoch(train) [38][1440/3757] lr: 1.0000e-02 eta: 1 day, 19:22:13 time: 0.7089 data_time: 0.2210 memory: 17350 grad_norm: 5.6700 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5608 loss: 1.5608 2022/07/23 04:17:24 - mmengine - INFO - Epoch(train) [38][1460/3757] lr: 1.0000e-02 eta: 1 day, 19:21:58 time: 0.6099 data_time: 0.1608 memory: 17350 grad_norm: 5.7839 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7260 loss: 1.7260 2022/07/23 04:17:39 - mmengine - INFO - Epoch(train) [38][1480/3757] lr: 1.0000e-02 eta: 1 day, 19:21:48 time: 0.7504 data_time: 0.1727 memory: 17350 grad_norm: 5.5794 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7407 loss: 1.7407 2022/07/23 04:17:51 - mmengine - INFO - Epoch(train) [38][1500/3757] lr: 1.0000e-02 eta: 1 day, 19:21:33 time: 0.6250 data_time: 0.1492 memory: 17350 grad_norm: 5.5960 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8567 loss: 1.8567 2022/07/23 04:18:06 - mmengine - INFO - Epoch(train) [38][1520/3757] lr: 1.0000e-02 eta: 1 day, 19:21:23 time: 0.7520 data_time: 0.1974 memory: 17350 grad_norm: 5.5734 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6349 loss: 1.6349 2022/07/23 04:18:19 - mmengine - INFO - Epoch(train) [38][1540/3757] lr: 1.0000e-02 eta: 1 day, 19:21:09 time: 0.6394 data_time: 0.1039 memory: 17350 grad_norm: 5.7059 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8142 loss: 1.8142 2022/07/23 04:18:34 - mmengine - INFO - Epoch(train) [38][1560/3757] lr: 1.0000e-02 eta: 1 day, 19:20:57 time: 0.7161 data_time: 0.0489 memory: 17350 grad_norm: 5.3933 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9767 loss: 1.9767 2022/07/23 04:18:46 - mmengine - INFO - Epoch(train) [38][1580/3757] lr: 1.0000e-02 eta: 1 day, 19:20:42 time: 0.6242 data_time: 0.0238 memory: 17350 grad_norm: 5.5590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8130 loss: 1.8130 2022/07/23 04:19:00 - mmengine - INFO - Epoch(train) [38][1600/3757] lr: 1.0000e-02 eta: 1 day, 19:20:31 time: 0.7044 data_time: 0.0224 memory: 17350 grad_norm: 5.5537 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0966 loss: 2.0966 2022/07/23 04:19:12 - mmengine - INFO - Epoch(train) [38][1620/3757] lr: 1.0000e-02 eta: 1 day, 19:20:15 time: 0.6094 data_time: 0.0210 memory: 17350 grad_norm: 5.6347 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9519 loss: 1.9519 2022/07/23 04:19:27 - mmengine - INFO - Epoch(train) [38][1640/3757] lr: 1.0000e-02 eta: 1 day, 19:20:04 time: 0.7172 data_time: 0.0213 memory: 17350 grad_norm: 5.5223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9519 loss: 1.9519 2022/07/23 04:19:39 - mmengine - INFO - Epoch(train) [38][1660/3757] lr: 1.0000e-02 eta: 1 day, 19:19:48 time: 0.5926 data_time: 0.0230 memory: 17350 grad_norm: 5.7583 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0008 loss: 2.0008 2022/07/23 04:19:53 - mmengine - INFO - Epoch(train) [38][1680/3757] lr: 1.0000e-02 eta: 1 day, 19:19:37 time: 0.7266 data_time: 0.0217 memory: 17350 grad_norm: 5.4069 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7020 loss: 1.7020 2022/07/23 04:20:06 - mmengine - INFO - Epoch(train) [38][1700/3757] lr: 1.0000e-02 eta: 1 day, 19:19:23 time: 0.6261 data_time: 0.0234 memory: 17350 grad_norm: 5.4294 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8119 loss: 1.8119 2022/07/23 04:20:20 - mmengine - INFO - Epoch(train) [38][1720/3757] lr: 1.0000e-02 eta: 1 day, 19:19:11 time: 0.7057 data_time: 0.0438 memory: 17350 grad_norm: 5.5011 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6946 loss: 1.6946 2022/07/23 04:20:31 - mmengine - INFO - Epoch(train) [38][1740/3757] lr: 1.0000e-02 eta: 1 day, 19:18:55 time: 0.5837 data_time: 0.0657 memory: 17350 grad_norm: 5.5096 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0371 loss: 2.0371 2022/07/23 04:20:46 - mmengine - INFO - Epoch(train) [38][1760/3757] lr: 1.0000e-02 eta: 1 day, 19:18:44 time: 0.7443 data_time: 0.1628 memory: 17350 grad_norm: 5.6959 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8665 loss: 1.8665 2022/07/23 04:20:59 - mmengine - INFO - Epoch(train) [38][1780/3757] lr: 1.0000e-02 eta: 1 day, 19:18:29 time: 0.6125 data_time: 0.1290 memory: 17350 grad_norm: 5.5524 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8065 loss: 1.8065 2022/07/23 04:21:12 - mmengine - INFO - Epoch(train) [38][1800/3757] lr: 1.0000e-02 eta: 1 day, 19:18:17 time: 0.6928 data_time: 0.2606 memory: 17350 grad_norm: 5.6904 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8552 loss: 1.8552 2022/07/23 04:21:24 - mmengine - INFO - Epoch(train) [38][1820/3757] lr: 1.0000e-02 eta: 1 day, 19:18:01 time: 0.5889 data_time: 0.2479 memory: 17350 grad_norm: 5.6218 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1304 loss: 2.1304 2022/07/23 04:21:39 - mmengine - INFO - Epoch(train) [38][1840/3757] lr: 1.0000e-02 eta: 1 day, 19:17:50 time: 0.7236 data_time: 0.3052 memory: 17350 grad_norm: 5.6096 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6102 loss: 1.6102 2022/07/23 04:21:51 - mmengine - INFO - Epoch(train) [38][1860/3757] lr: 1.0000e-02 eta: 1 day, 19:17:34 time: 0.5975 data_time: 0.1922 memory: 17350 grad_norm: 5.6989 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8388 loss: 1.8388 2022/07/23 04:22:06 - mmengine - INFO - Epoch(train) [38][1880/3757] lr: 1.0000e-02 eta: 1 day, 19:17:24 time: 0.7532 data_time: 0.3543 memory: 17350 grad_norm: 5.5414 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0226 loss: 2.0226 2022/07/23 04:22:18 - mmengine - INFO - Epoch(train) [38][1900/3757] lr: 1.0000e-02 eta: 1 day, 19:17:09 time: 0.6204 data_time: 0.2833 memory: 17350 grad_norm: 5.6977 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9353 loss: 1.9353 2022/07/23 04:22:32 - mmengine - INFO - Epoch(train) [38][1920/3757] lr: 1.0000e-02 eta: 1 day, 19:16:58 time: 0.7087 data_time: 0.3635 memory: 17350 grad_norm: 5.6275 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7582 loss: 1.7582 2022/07/23 04:22:44 - mmengine - INFO - Epoch(train) [38][1940/3757] lr: 1.0000e-02 eta: 1 day, 19:16:42 time: 0.5871 data_time: 0.2516 memory: 17350 grad_norm: 5.7559 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8180 loss: 1.8180 2022/07/23 04:22:59 - mmengine - INFO - Epoch(train) [38][1960/3757] lr: 1.0000e-02 eta: 1 day, 19:16:32 time: 0.7547 data_time: 0.4042 memory: 17350 grad_norm: 5.5650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6089 loss: 1.6089 2022/07/23 04:23:11 - mmengine - INFO - Epoch(train) [38][1980/3757] lr: 1.0000e-02 eta: 1 day, 19:16:16 time: 0.5899 data_time: 0.1702 memory: 17350 grad_norm: 5.6180 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5284 loss: 1.5284 2022/07/23 04:23:19 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 04:23:24 - mmengine - INFO - Epoch(train) [38][2000/3757] lr: 1.0000e-02 eta: 1 day, 19:16:03 time: 0.6736 data_time: 0.0436 memory: 17350 grad_norm: 5.5449 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9571 loss: 1.9571 2022/07/23 04:23:37 - mmengine - INFO - Epoch(train) [38][2020/3757] lr: 1.0000e-02 eta: 1 day, 19:15:49 time: 0.6357 data_time: 0.0568 memory: 17350 grad_norm: 5.5264 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8688 loss: 1.8688 2022/07/23 04:23:52 - mmengine - INFO - Epoch(train) [38][2040/3757] lr: 1.0000e-02 eta: 1 day, 19:15:37 time: 0.7177 data_time: 0.0237 memory: 17350 grad_norm: 5.7148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8243 loss: 1.8243 2022/07/23 04:24:04 - mmengine - INFO - Epoch(train) [38][2060/3757] lr: 1.0000e-02 eta: 1 day, 19:15:23 time: 0.6414 data_time: 0.0217 memory: 17350 grad_norm: 5.4668 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9603 loss: 1.9603 2022/07/23 04:24:20 - mmengine - INFO - Epoch(train) [38][2080/3757] lr: 1.0000e-02 eta: 1 day, 19:15:13 time: 0.7571 data_time: 0.0235 memory: 17350 grad_norm: 5.7250 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6209 loss: 1.6209 2022/07/23 04:24:31 - mmengine - INFO - Epoch(train) [38][2100/3757] lr: 1.0000e-02 eta: 1 day, 19:14:57 time: 0.5773 data_time: 0.0224 memory: 17350 grad_norm: 5.9931 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1002 loss: 2.1002 2022/07/23 04:24:46 - mmengine - INFO - Epoch(train) [38][2120/3757] lr: 1.0000e-02 eta: 1 day, 19:14:45 time: 0.7207 data_time: 0.0226 memory: 17350 grad_norm: 5.6672 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8867 loss: 1.8867 2022/07/23 04:24:58 - mmengine - INFO - Epoch(train) [38][2140/3757] lr: 1.0000e-02 eta: 1 day, 19:14:31 time: 0.6206 data_time: 0.0219 memory: 17350 grad_norm: 5.7114 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9002 loss: 1.9002 2022/07/23 04:25:13 - mmengine - INFO - Epoch(train) [38][2160/3757] lr: 1.0000e-02 eta: 1 day, 19:14:20 time: 0.7308 data_time: 0.0225 memory: 17350 grad_norm: 5.5066 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9481 loss: 1.9481 2022/07/23 04:25:25 - mmengine - INFO - Epoch(train) [38][2180/3757] lr: 1.0000e-02 eta: 1 day, 19:14:04 time: 0.6007 data_time: 0.0225 memory: 17350 grad_norm: 5.5546 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8824 loss: 1.8824 2022/07/23 04:25:39 - mmengine - INFO - Epoch(train) [38][2200/3757] lr: 1.0000e-02 eta: 1 day, 19:13:53 time: 0.7281 data_time: 0.0223 memory: 17350 grad_norm: 5.4323 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6941 loss: 1.6941 2022/07/23 04:25:52 - mmengine - INFO - Epoch(train) [38][2220/3757] lr: 1.0000e-02 eta: 1 day, 19:13:39 time: 0.6219 data_time: 0.0232 memory: 17350 grad_norm: 5.4807 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6476 loss: 1.6476 2022/07/23 04:26:06 - mmengine - INFO - Epoch(train) [38][2240/3757] lr: 1.0000e-02 eta: 1 day, 19:13:27 time: 0.7165 data_time: 0.0224 memory: 17350 grad_norm: 5.6111 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8010 loss: 1.8010 2022/07/23 04:26:19 - mmengine - INFO - Epoch(train) [38][2260/3757] lr: 1.0000e-02 eta: 1 day, 19:13:13 time: 0.6371 data_time: 0.0233 memory: 17350 grad_norm: 5.5325 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.6606 loss: 1.6606 2022/07/23 04:26:32 - mmengine - INFO - Epoch(train) [38][2280/3757] lr: 1.0000e-02 eta: 1 day, 19:13:00 time: 0.6731 data_time: 0.0504 memory: 17350 grad_norm: 5.4772 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7897 loss: 1.7897 2022/07/23 04:26:44 - mmengine - INFO - Epoch(train) [38][2300/3757] lr: 1.0000e-02 eta: 1 day, 19:12:44 time: 0.5985 data_time: 0.0229 memory: 17350 grad_norm: 5.7299 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5468 loss: 1.5468 2022/07/23 04:26:58 - mmengine - INFO - Epoch(train) [38][2320/3757] lr: 1.0000e-02 eta: 1 day, 19:12:33 time: 0.7076 data_time: 0.0433 memory: 17350 grad_norm: 5.6600 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9147 loss: 1.9147 2022/07/23 04:27:11 - mmengine - INFO - Epoch(train) [38][2340/3757] lr: 1.0000e-02 eta: 1 day, 19:12:19 time: 0.6391 data_time: 0.0234 memory: 17350 grad_norm: 5.6532 top1_acc: 0.1250 top5_acc: 1.0000 loss_cls: 1.8460 loss: 1.8460 2022/07/23 04:27:26 - mmengine - INFO - Epoch(train) [38][2360/3757] lr: 1.0000e-02 eta: 1 day, 19:12:07 time: 0.7273 data_time: 0.0360 memory: 17350 grad_norm: 5.4408 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8417 loss: 1.8417 2022/07/23 04:27:38 - mmengine - INFO - Epoch(train) [38][2380/3757] lr: 1.0000e-02 eta: 1 day, 19:11:53 time: 0.6227 data_time: 0.0573 memory: 17350 grad_norm: 5.6569 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8106 loss: 1.8106 2022/07/23 04:27:52 - mmengine - INFO - Epoch(train) [38][2400/3757] lr: 1.0000e-02 eta: 1 day, 19:11:41 time: 0.7115 data_time: 0.0262 memory: 17350 grad_norm: 5.3854 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6682 loss: 1.6682 2022/07/23 04:28:05 - mmengine - INFO - Epoch(train) [38][2420/3757] lr: 1.0000e-02 eta: 1 day, 19:11:26 time: 0.6113 data_time: 0.0220 memory: 17350 grad_norm: 5.6183 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7019 loss: 1.7019 2022/07/23 04:28:19 - mmengine - INFO - Epoch(train) [38][2440/3757] lr: 1.0000e-02 eta: 1 day, 19:11:15 time: 0.7335 data_time: 0.0320 memory: 17350 grad_norm: 5.6978 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9852 loss: 1.9852 2022/07/23 04:28:31 - mmengine - INFO - Epoch(train) [38][2460/3757] lr: 1.0000e-02 eta: 1 day, 19:11:00 time: 0.5976 data_time: 0.0411 memory: 17350 grad_norm: 5.5191 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4722 loss: 1.4722 2022/07/23 04:28:46 - mmengine - INFO - Epoch(train) [38][2480/3757] lr: 1.0000e-02 eta: 1 day, 19:10:49 time: 0.7538 data_time: 0.1069 memory: 17350 grad_norm: 5.7438 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1832 loss: 2.1832 2022/07/23 04:29:00 - mmengine - INFO - Epoch(train) [38][2500/3757] lr: 1.0000e-02 eta: 1 day, 19:10:36 time: 0.6693 data_time: 0.2820 memory: 17350 grad_norm: 5.4379 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7920 loss: 1.7920 2022/07/23 04:29:12 - mmengine - INFO - Epoch(train) [38][2520/3757] lr: 1.0000e-02 eta: 1 day, 19:10:22 time: 0.6266 data_time: 0.1495 memory: 17350 grad_norm: 5.7182 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5571 loss: 1.5571 2022/07/23 04:29:24 - mmengine - INFO - Epoch(train) [38][2540/3757] lr: 1.0000e-02 eta: 1 day, 19:10:06 time: 0.5818 data_time: 0.1477 memory: 17350 grad_norm: 5.5762 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6890 loss: 1.6890 2022/07/23 04:29:39 - mmengine - INFO - Epoch(train) [38][2560/3757] lr: 1.0000e-02 eta: 1 day, 19:09:55 time: 0.7533 data_time: 0.3002 memory: 17350 grad_norm: 5.6368 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8717 loss: 1.8717 2022/07/23 04:29:51 - mmengine - INFO - Epoch(train) [38][2580/3757] lr: 1.0000e-02 eta: 1 day, 19:09:40 time: 0.5986 data_time: 0.2285 memory: 17350 grad_norm: 5.5742 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9427 loss: 1.9427 2022/07/23 04:30:06 - mmengine - INFO - Epoch(train) [38][2600/3757] lr: 1.0000e-02 eta: 1 day, 19:09:30 time: 0.7660 data_time: 0.3384 memory: 17350 grad_norm: 5.5014 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6728 loss: 1.6728 2022/07/23 04:30:18 - mmengine - INFO - Epoch(train) [38][2620/3757] lr: 1.0000e-02 eta: 1 day, 19:09:15 time: 0.5957 data_time: 0.2020 memory: 17350 grad_norm: 5.4226 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7958 loss: 1.7958 2022/07/23 04:30:32 - mmengine - INFO - Epoch(train) [38][2640/3757] lr: 1.0000e-02 eta: 1 day, 19:09:02 time: 0.6974 data_time: 0.2765 memory: 17350 grad_norm: 5.6212 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0173 loss: 2.0173 2022/07/23 04:30:44 - mmengine - INFO - Epoch(train) [38][2660/3757] lr: 1.0000e-02 eta: 1 day, 19:08:47 time: 0.5929 data_time: 0.1216 memory: 17350 grad_norm: 5.4013 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6758 loss: 1.6758 2022/07/23 04:30:58 - mmengine - INFO - Epoch(train) [38][2680/3757] lr: 1.0000e-02 eta: 1 day, 19:08:35 time: 0.7139 data_time: 0.1605 memory: 17350 grad_norm: 5.6187 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8970 loss: 1.8970 2022/07/23 04:31:11 - mmengine - INFO - Epoch(train) [38][2700/3757] lr: 1.0000e-02 eta: 1 day, 19:08:21 time: 0.6312 data_time: 0.1032 memory: 17350 grad_norm: 5.4650 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9724 loss: 1.9724 2022/07/23 04:31:25 - mmengine - INFO - Epoch(train) [38][2720/3757] lr: 1.0000e-02 eta: 1 day, 19:08:10 time: 0.7227 data_time: 0.1594 memory: 17350 grad_norm: 5.5512 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8028 loss: 1.8028 2022/07/23 04:31:37 - mmengine - INFO - Epoch(train) [38][2740/3757] lr: 1.0000e-02 eta: 1 day, 19:07:53 time: 0.5724 data_time: 0.0822 memory: 17350 grad_norm: 5.4715 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0317 loss: 2.0317 2022/07/23 04:31:52 - mmengine - INFO - Epoch(train) [38][2760/3757] lr: 1.0000e-02 eta: 1 day, 19:07:43 time: 0.7601 data_time: 0.2209 memory: 17350 grad_norm: 5.4796 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5833 loss: 1.5833 2022/07/23 04:32:04 - mmengine - INFO - Epoch(train) [38][2780/3757] lr: 1.0000e-02 eta: 1 day, 19:07:28 time: 0.5929 data_time: 0.2172 memory: 17350 grad_norm: 5.5163 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6891 loss: 1.6891 2022/07/23 04:32:19 - mmengine - INFO - Epoch(train) [38][2800/3757] lr: 1.0000e-02 eta: 1 day, 19:07:17 time: 0.7598 data_time: 0.2738 memory: 17350 grad_norm: 5.6760 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8071 loss: 1.8071 2022/07/23 04:32:32 - mmengine - INFO - Epoch(train) [38][2820/3757] lr: 1.0000e-02 eta: 1 day, 19:07:03 time: 0.6296 data_time: 0.1579 memory: 17350 grad_norm: 5.6048 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7466 loss: 1.7466 2022/07/23 04:32:46 - mmengine - INFO - Epoch(train) [38][2840/3757] lr: 1.0000e-02 eta: 1 day, 19:06:52 time: 0.7201 data_time: 0.1769 memory: 17350 grad_norm: 5.4146 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7439 loss: 1.7439 2022/07/23 04:32:58 - mmengine - INFO - Epoch(train) [38][2860/3757] lr: 1.0000e-02 eta: 1 day, 19:06:36 time: 0.5865 data_time: 0.1032 memory: 17350 grad_norm: 5.5299 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0502 loss: 2.0502 2022/07/23 04:33:12 - mmengine - INFO - Epoch(train) [38][2880/3757] lr: 1.0000e-02 eta: 1 day, 19:06:23 time: 0.6893 data_time: 0.1110 memory: 17350 grad_norm: 5.7480 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8786 loss: 1.8786 2022/07/23 04:33:23 - mmengine - INFO - Epoch(train) [38][2900/3757] lr: 1.0000e-02 eta: 1 day, 19:06:08 time: 0.5882 data_time: 0.0488 memory: 17350 grad_norm: 5.6234 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7941 loss: 1.7941 2022/07/23 04:33:39 - mmengine - INFO - Epoch(train) [38][2920/3757] lr: 1.0000e-02 eta: 1 day, 19:05:58 time: 0.7748 data_time: 0.2043 memory: 17350 grad_norm: 5.6929 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8173 loss: 1.8173 2022/07/23 04:33:51 - mmengine - INFO - Epoch(train) [38][2940/3757] lr: 1.0000e-02 eta: 1 day, 19:05:42 time: 0.5763 data_time: 0.1618 memory: 17350 grad_norm: 5.5805 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9347 loss: 1.9347 2022/07/23 04:34:06 - mmengine - INFO - Epoch(train) [38][2960/3757] lr: 1.0000e-02 eta: 1 day, 19:05:32 time: 0.7578 data_time: 0.2660 memory: 17350 grad_norm: 5.7989 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8483 loss: 1.8483 2022/07/23 04:34:18 - mmengine - INFO - Epoch(train) [38][2980/3757] lr: 1.0000e-02 eta: 1 day, 19:05:17 time: 0.6315 data_time: 0.2860 memory: 17350 grad_norm: 5.5300 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8206 loss: 1.8206 2022/07/23 04:34:27 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 04:34:32 - mmengine - INFO - Epoch(train) [38][3000/3757] lr: 1.0000e-02 eta: 1 day, 19:05:05 time: 0.6779 data_time: 0.2724 memory: 17350 grad_norm: 5.6628 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8533 loss: 1.8533 2022/07/23 04:34:44 - mmengine - INFO - Epoch(train) [38][3020/3757] lr: 1.0000e-02 eta: 1 day, 19:04:49 time: 0.6045 data_time: 0.1118 memory: 17350 grad_norm: 5.6631 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9766 loss: 1.9766 2022/07/23 04:34:58 - mmengine - INFO - Epoch(train) [38][3040/3757] lr: 1.0000e-02 eta: 1 day, 19:04:37 time: 0.6949 data_time: 0.1562 memory: 17350 grad_norm: 5.2950 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6642 loss: 1.6642 2022/07/23 04:35:10 - mmengine - INFO - Epoch(train) [38][3060/3757] lr: 1.0000e-02 eta: 1 day, 19:04:23 time: 0.6261 data_time: 0.0238 memory: 17350 grad_norm: 5.4103 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7658 loss: 1.7658 2022/07/23 04:35:25 - mmengine - INFO - Epoch(train) [38][3080/3757] lr: 1.0000e-02 eta: 1 day, 19:04:11 time: 0.7203 data_time: 0.0744 memory: 17350 grad_norm: 5.5224 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5554 loss: 1.5554 2022/07/23 04:35:38 - mmengine - INFO - Epoch(train) [38][3100/3757] lr: 1.0000e-02 eta: 1 day, 19:03:57 time: 0.6471 data_time: 0.1773 memory: 17350 grad_norm: 5.7674 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8930 loss: 1.8930 2022/07/23 04:35:51 - mmengine - INFO - Epoch(train) [38][3120/3757] lr: 1.0000e-02 eta: 1 day, 19:03:44 time: 0.6726 data_time: 0.2149 memory: 17350 grad_norm: 5.5284 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6886 loss: 1.6886 2022/07/23 04:36:05 - mmengine - INFO - Epoch(train) [38][3140/3757] lr: 1.0000e-02 eta: 1 day, 19:03:31 time: 0.6672 data_time: 0.1201 memory: 17350 grad_norm: 5.6341 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5700 loss: 1.5700 2022/07/23 04:36:18 - mmengine - INFO - Epoch(train) [38][3160/3757] lr: 1.0000e-02 eta: 1 day, 19:03:18 time: 0.6679 data_time: 0.1984 memory: 17350 grad_norm: 5.6296 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8682 loss: 1.8682 2022/07/23 04:36:32 - mmengine - INFO - Epoch(train) [38][3180/3757] lr: 1.0000e-02 eta: 1 day, 19:03:06 time: 0.6966 data_time: 0.1309 memory: 17350 grad_norm: 5.6615 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0085 loss: 2.0085 2022/07/23 04:36:45 - mmengine - INFO - Epoch(train) [38][3200/3757] lr: 1.0000e-02 eta: 1 day, 19:02:52 time: 0.6504 data_time: 0.1860 memory: 17350 grad_norm: 5.6406 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5681 loss: 1.5681 2022/07/23 04:36:58 - mmengine - INFO - Epoch(train) [38][3220/3757] lr: 1.0000e-02 eta: 1 day, 19:02:39 time: 0.6631 data_time: 0.1575 memory: 17350 grad_norm: 5.3541 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1078 loss: 2.1078 2022/07/23 04:37:12 - mmengine - INFO - Epoch(train) [38][3240/3757] lr: 1.0000e-02 eta: 1 day, 19:02:26 time: 0.6792 data_time: 0.3043 memory: 17350 grad_norm: 5.6148 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4888 loss: 1.4888 2022/07/23 04:37:25 - mmengine - INFO - Epoch(train) [38][3260/3757] lr: 1.0000e-02 eta: 1 day, 19:02:12 time: 0.6407 data_time: 0.2320 memory: 17350 grad_norm: 5.3067 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9737 loss: 1.9737 2022/07/23 04:37:39 - mmengine - INFO - Epoch(train) [38][3280/3757] lr: 1.0000e-02 eta: 1 day, 19:02:01 time: 0.7213 data_time: 0.3657 memory: 17350 grad_norm: 5.4804 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8434 loss: 1.8434 2022/07/23 04:37:51 - mmengine - INFO - Epoch(train) [38][3300/3757] lr: 1.0000e-02 eta: 1 day, 19:01:45 time: 0.6028 data_time: 0.2504 memory: 17350 grad_norm: 5.6269 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9443 loss: 1.9443 2022/07/23 04:38:05 - mmengine - INFO - Epoch(train) [38][3320/3757] lr: 1.0000e-02 eta: 1 day, 19:01:34 time: 0.7181 data_time: 0.3568 memory: 17350 grad_norm: 5.4621 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9864 loss: 1.9864 2022/07/23 04:38:18 - mmengine - INFO - Epoch(train) [38][3340/3757] lr: 1.0000e-02 eta: 1 day, 19:01:20 time: 0.6390 data_time: 0.2500 memory: 17350 grad_norm: 5.6269 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6517 loss: 1.6517 2022/07/23 04:38:32 - mmengine - INFO - Epoch(train) [38][3360/3757] lr: 1.0000e-02 eta: 1 day, 19:01:08 time: 0.7107 data_time: 0.2412 memory: 17350 grad_norm: 5.8368 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6204 loss: 1.6204 2022/07/23 04:38:44 - mmengine - INFO - Epoch(train) [38][3380/3757] lr: 1.0000e-02 eta: 1 day, 19:00:52 time: 0.5918 data_time: 0.2218 memory: 17350 grad_norm: 5.4489 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7881 loss: 1.7881 2022/07/23 04:38:58 - mmengine - INFO - Epoch(train) [38][3400/3757] lr: 1.0000e-02 eta: 1 day, 19:00:41 time: 0.7069 data_time: 0.3603 memory: 17350 grad_norm: 5.4627 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5123 loss: 1.5123 2022/07/23 04:39:11 - mmengine - INFO - Epoch(train) [38][3420/3757] lr: 1.0000e-02 eta: 1 day, 19:00:26 time: 0.6306 data_time: 0.2977 memory: 17350 grad_norm: 5.5926 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7411 loss: 1.7411 2022/07/23 04:39:26 - mmengine - INFO - Epoch(train) [38][3440/3757] lr: 1.0000e-02 eta: 1 day, 19:00:16 time: 0.7474 data_time: 0.4163 memory: 17350 grad_norm: 5.6870 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0829 loss: 2.0829 2022/07/23 04:39:38 - mmengine - INFO - Epoch(train) [38][3460/3757] lr: 1.0000e-02 eta: 1 day, 19:00:00 time: 0.5996 data_time: 0.2642 memory: 17350 grad_norm: 5.6835 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9804 loss: 1.9804 2022/07/23 04:39:53 - mmengine - INFO - Epoch(train) [38][3480/3757] lr: 1.0000e-02 eta: 1 day, 18:59:50 time: 0.7555 data_time: 0.4134 memory: 17350 grad_norm: 5.4396 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5691 loss: 1.5691 2022/07/23 04:40:05 - mmengine - INFO - Epoch(train) [38][3500/3757] lr: 1.0000e-02 eta: 1 day, 18:59:34 time: 0.5890 data_time: 0.2464 memory: 17350 grad_norm: 5.4190 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7583 loss: 1.7583 2022/07/23 04:40:19 - mmengine - INFO - Epoch(train) [38][3520/3757] lr: 1.0000e-02 eta: 1 day, 18:59:23 time: 0.7120 data_time: 0.3764 memory: 17350 grad_norm: 5.6421 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9056 loss: 1.9056 2022/07/23 04:40:31 - mmengine - INFO - Epoch(train) [38][3540/3757] lr: 1.0000e-02 eta: 1 day, 18:59:07 time: 0.5817 data_time: 0.2503 memory: 17350 grad_norm: 5.7564 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5428 loss: 1.5428 2022/07/23 04:40:45 - mmengine - INFO - Epoch(train) [38][3560/3757] lr: 1.0000e-02 eta: 1 day, 18:58:55 time: 0.7220 data_time: 0.3777 memory: 17350 grad_norm: 5.7468 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8575 loss: 1.8575 2022/07/23 04:40:57 - mmengine - INFO - Epoch(train) [38][3580/3757] lr: 1.0000e-02 eta: 1 day, 18:58:40 time: 0.5905 data_time: 0.2596 memory: 17350 grad_norm: 5.5361 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8599 loss: 1.8599 2022/07/23 04:41:12 - mmengine - INFO - Epoch(train) [38][3600/3757] lr: 1.0000e-02 eta: 1 day, 18:58:30 time: 0.7632 data_time: 0.3901 memory: 17350 grad_norm: 5.6595 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8753 loss: 1.8753 2022/07/23 04:41:25 - mmengine - INFO - Epoch(train) [38][3620/3757] lr: 1.0000e-02 eta: 1 day, 18:58:15 time: 0.6174 data_time: 0.2714 memory: 17350 grad_norm: 5.6455 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0228 loss: 2.0228 2022/07/23 04:41:39 - mmengine - INFO - Epoch(train) [38][3640/3757] lr: 1.0000e-02 eta: 1 day, 18:58:04 time: 0.7301 data_time: 0.3622 memory: 17350 grad_norm: 5.5346 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1208 loss: 2.1208 2022/07/23 04:41:51 - mmengine - INFO - Epoch(train) [38][3660/3757] lr: 1.0000e-02 eta: 1 day, 18:57:48 time: 0.5745 data_time: 0.2053 memory: 17350 grad_norm: 5.3723 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7440 loss: 1.7440 2022/07/23 04:42:06 - mmengine - INFO - Epoch(train) [38][3680/3757] lr: 1.0000e-02 eta: 1 day, 18:57:37 time: 0.7365 data_time: 0.3418 memory: 17350 grad_norm: 5.5674 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9530 loss: 1.9530 2022/07/23 04:42:18 - mmengine - INFO - Epoch(train) [38][3700/3757] lr: 1.0000e-02 eta: 1 day, 18:57:21 time: 0.5985 data_time: 0.2656 memory: 17350 grad_norm: 5.5455 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8710 loss: 1.8710 2022/07/23 04:42:32 - mmengine - INFO - Epoch(train) [38][3720/3757] lr: 1.0000e-02 eta: 1 day, 18:57:10 time: 0.7154 data_time: 0.3652 memory: 17350 grad_norm: 5.5022 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8156 loss: 1.8156 2022/07/23 04:42:44 - mmengine - INFO - Epoch(train) [38][3740/3757] lr: 1.0000e-02 eta: 1 day, 18:56:55 time: 0.6083 data_time: 0.2624 memory: 17350 grad_norm: 5.4897 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8038 loss: 1.8038 2022/07/23 04:42:52 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 04:42:52 - mmengine - INFO - Epoch(train) [38][3757/3757] lr: 1.0000e-02 eta: 1 day, 18:56:55 time: 0.4670 data_time: 0.1375 memory: 17350 grad_norm: 5.6041 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.6452 loss: 1.6452 2022/07/23 04:43:09 - mmengine - INFO - Epoch(val) [38][20/310] eta: 0:04:01 time: 0.8323 data_time: 0.7186 memory: 3406 2022/07/23 04:43:20 - mmengine - INFO - Epoch(val) [38][40/310] eta: 0:02:24 time: 0.5362 data_time: 0.4226 memory: 3406 2022/07/23 04:43:36 - mmengine - INFO - Epoch(val) [38][60/310] eta: 0:03:16 time: 0.7845 data_time: 0.6689 memory: 3406 2022/07/23 04:43:47 - mmengine - INFO - Epoch(val) [38][80/310] eta: 0:02:11 time: 0.5709 data_time: 0.4589 memory: 3406 2022/07/23 04:44:02 - mmengine - INFO - Epoch(val) [38][100/310] eta: 0:02:37 time: 0.7510 data_time: 0.6362 memory: 3406 2022/07/23 04:44:13 - mmengine - INFO - Epoch(val) [38][120/310] eta: 0:01:46 time: 0.5585 data_time: 0.4441 memory: 3406 2022/07/23 04:44:30 - mmengine - INFO - Epoch(val) [38][140/310] eta: 0:02:19 time: 0.8199 data_time: 0.6977 memory: 3406 2022/07/23 04:44:41 - mmengine - INFO - Epoch(val) [38][160/310] eta: 0:01:26 time: 0.5798 data_time: 0.4673 memory: 3406 2022/07/23 04:44:56 - mmengine - INFO - Epoch(val) [38][180/310] eta: 0:01:34 time: 0.7298 data_time: 0.6149 memory: 3406 2022/07/23 04:45:08 - mmengine - INFO - Epoch(val) [38][200/310] eta: 0:01:07 time: 0.6113 data_time: 0.4987 memory: 3406 2022/07/23 04:45:23 - mmengine - INFO - Epoch(val) [38][220/310] eta: 0:01:07 time: 0.7490 data_time: 0.6351 memory: 3406 2022/07/23 04:45:34 - mmengine - INFO - Epoch(val) [38][240/310] eta: 0:00:40 time: 0.5730 data_time: 0.4610 memory: 3406 2022/07/23 04:45:50 - mmengine - INFO - Epoch(val) [38][260/310] eta: 0:00:39 time: 0.7835 data_time: 0.6697 memory: 3406 2022/07/23 04:46:01 - mmengine - INFO - Epoch(val) [38][280/310] eta: 0:00:16 time: 0.5339 data_time: 0.4215 memory: 3406 2022/07/23 04:46:15 - mmengine - INFO - Epoch(val) [38][300/310] eta: 0:00:06 time: 0.6997 data_time: 0.5873 memory: 3406 2022/07/23 04:46:18 - mmengine - INFO - Epoch(val) [38][310/310] acc/top1: 0.5845 acc/top5: 0.8147 acc/mean1: 0.5842 2022/07/23 04:46:37 - mmengine - INFO - Epoch(train) [39][20/3757] lr: 1.0000e-02 eta: 1 day, 18:56:19 time: 0.8932 data_time: 0.5022 memory: 17350 grad_norm: 5.4413 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7118 loss: 1.7118 2022/07/23 04:46:49 - mmengine - INFO - Epoch(train) [39][40/3757] lr: 1.0000e-02 eta: 1 day, 18:56:04 time: 0.6145 data_time: 0.1638 memory: 17350 grad_norm: 5.5130 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7959 loss: 1.7959 2022/07/23 04:47:03 - mmengine - INFO - Epoch(train) [39][60/3757] lr: 1.0000e-02 eta: 1 day, 18:55:53 time: 0.7265 data_time: 0.1553 memory: 17350 grad_norm: 5.6882 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6812 loss: 1.6812 2022/07/23 04:47:16 - mmengine - INFO - Epoch(train) [39][80/3757] lr: 1.0000e-02 eta: 1 day, 18:55:38 time: 0.6177 data_time: 0.1787 memory: 17350 grad_norm: 5.5666 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0028 loss: 2.0028 2022/07/23 04:47:30 - mmengine - INFO - Epoch(train) [39][100/3757] lr: 1.0000e-02 eta: 1 day, 18:55:27 time: 0.7206 data_time: 0.2458 memory: 17350 grad_norm: 5.5373 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9532 loss: 1.9532 2022/07/23 04:47:42 - mmengine - INFO - Epoch(train) [39][120/3757] lr: 1.0000e-02 eta: 1 day, 18:55:11 time: 0.5933 data_time: 0.2059 memory: 17350 grad_norm: 5.4665 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8481 loss: 1.8481 2022/07/23 04:47:58 - mmengine - INFO - Epoch(train) [39][140/3757] lr: 1.0000e-02 eta: 1 day, 18:55:02 time: 0.7956 data_time: 0.1030 memory: 17350 grad_norm: 5.5424 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5964 loss: 1.5964 2022/07/23 04:48:10 - mmengine - INFO - Epoch(train) [39][160/3757] lr: 1.0000e-02 eta: 1 day, 18:54:47 time: 0.6056 data_time: 0.0253 memory: 17350 grad_norm: 5.5988 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8211 loss: 1.8211 2022/07/23 04:48:24 - mmengine - INFO - Epoch(train) [39][180/3757] lr: 1.0000e-02 eta: 1 day, 18:54:35 time: 0.7116 data_time: 0.0227 memory: 17350 grad_norm: 5.5263 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6895 loss: 1.6895 2022/07/23 04:48:36 - mmengine - INFO - Epoch(train) [39][200/3757] lr: 1.0000e-02 eta: 1 day, 18:54:20 time: 0.6072 data_time: 0.0230 memory: 17350 grad_norm: 5.5554 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0536 loss: 2.0536 2022/07/23 04:48:50 - mmengine - INFO - Epoch(train) [39][220/3757] lr: 1.0000e-02 eta: 1 day, 18:54:08 time: 0.7025 data_time: 0.0382 memory: 17350 grad_norm: 5.5005 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5314 loss: 1.5314 2022/07/23 04:49:00 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 04:49:02 - mmengine - INFO - Epoch(train) [39][240/3757] lr: 1.0000e-02 eta: 1 day, 18:53:53 time: 0.5889 data_time: 0.0711 memory: 17350 grad_norm: 5.4475 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8047 loss: 1.8047 2022/07/23 04:49:17 - mmengine - INFO - Epoch(train) [39][260/3757] lr: 1.0000e-02 eta: 1 day, 18:53:42 time: 0.7407 data_time: 0.1231 memory: 17350 grad_norm: 5.4314 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8218 loss: 1.8218 2022/07/23 04:49:30 - mmengine - INFO - Epoch(train) [39][280/3757] lr: 1.0000e-02 eta: 1 day, 18:53:28 time: 0.6441 data_time: 0.0243 memory: 17350 grad_norm: 5.8578 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7983 loss: 1.7983 2022/07/23 04:49:44 - mmengine - INFO - Epoch(train) [39][300/3757] lr: 1.0000e-02 eta: 1 day, 18:53:16 time: 0.7041 data_time: 0.0232 memory: 17350 grad_norm: 5.5644 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0554 loss: 2.0554 2022/07/23 04:49:57 - mmengine - INFO - Epoch(train) [39][320/3757] lr: 1.0000e-02 eta: 1 day, 18:53:01 time: 0.6254 data_time: 0.0229 memory: 17350 grad_norm: 5.7600 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6546 loss: 1.6546 2022/07/23 04:50:11 - mmengine - INFO - Epoch(train) [39][340/3757] lr: 1.0000e-02 eta: 1 day, 18:52:50 time: 0.7333 data_time: 0.0221 memory: 17350 grad_norm: 5.6119 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6699 loss: 1.6699 2022/07/23 04:50:24 - mmengine - INFO - Epoch(train) [39][360/3757] lr: 1.0000e-02 eta: 1 day, 18:52:36 time: 0.6365 data_time: 0.0219 memory: 17350 grad_norm: 5.7794 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1972 loss: 2.1972 2022/07/23 04:50:38 - mmengine - INFO - Epoch(train) [39][380/3757] lr: 1.0000e-02 eta: 1 day, 18:52:24 time: 0.7033 data_time: 0.0217 memory: 17350 grad_norm: 5.7455 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8509 loss: 1.8509 2022/07/23 04:50:51 - mmengine - INFO - Epoch(train) [39][400/3757] lr: 1.0000e-02 eta: 1 day, 18:52:10 time: 0.6424 data_time: 0.0216 memory: 17350 grad_norm: 5.5647 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7171 loss: 1.7171 2022/07/23 04:51:05 - mmengine - INFO - Epoch(train) [39][420/3757] lr: 1.0000e-02 eta: 1 day, 18:51:58 time: 0.6983 data_time: 0.0230 memory: 17350 grad_norm: 5.5835 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8841 loss: 1.8841 2022/07/23 04:51:18 - mmengine - INFO - Epoch(train) [39][440/3757] lr: 1.0000e-02 eta: 1 day, 18:51:44 time: 0.6406 data_time: 0.0224 memory: 17350 grad_norm: 5.5078 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5795 loss: 1.5795 2022/07/23 04:51:31 - mmengine - INFO - Epoch(train) [39][460/3757] lr: 1.0000e-02 eta: 1 day, 18:51:31 time: 0.6824 data_time: 0.0215 memory: 17350 grad_norm: 5.5374 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8855 loss: 1.8855 2022/07/23 04:51:45 - mmengine - INFO - Epoch(train) [39][480/3757] lr: 1.0000e-02 eta: 1 day, 18:51:18 time: 0.6553 data_time: 0.0253 memory: 17350 grad_norm: 5.4819 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.7837 loss: 1.7837 2022/07/23 04:51:58 - mmengine - INFO - Epoch(train) [39][500/3757] lr: 1.0000e-02 eta: 1 day, 18:51:05 time: 0.6676 data_time: 0.0226 memory: 17350 grad_norm: 5.5743 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8525 loss: 1.8525 2022/07/23 04:52:12 - mmengine - INFO - Epoch(train) [39][520/3757] lr: 1.0000e-02 eta: 1 day, 18:50:53 time: 0.7127 data_time: 0.0217 memory: 17350 grad_norm: 5.5994 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8171 loss: 1.8171 2022/07/23 04:52:24 - mmengine - INFO - Epoch(train) [39][540/3757] lr: 1.0000e-02 eta: 1 day, 18:50:38 time: 0.6163 data_time: 0.0230 memory: 17350 grad_norm: 5.3183 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5845 loss: 1.5845 2022/07/23 04:52:38 - mmengine - INFO - Epoch(train) [39][560/3757] lr: 1.0000e-02 eta: 1 day, 18:50:25 time: 0.6537 data_time: 0.0232 memory: 17350 grad_norm: 5.6306 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9370 loss: 1.9370 2022/07/23 04:52:53 - mmengine - INFO - Epoch(train) [39][580/3757] lr: 1.0000e-02 eta: 1 day, 18:50:14 time: 0.7507 data_time: 0.0230 memory: 17350 grad_norm: 5.6115 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7091 loss: 1.7091 2022/07/23 04:53:04 - mmengine - INFO - Epoch(train) [39][600/3757] lr: 1.0000e-02 eta: 1 day, 18:49:59 time: 0.5937 data_time: 0.0244 memory: 17350 grad_norm: 5.6911 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7357 loss: 1.7357 2022/07/23 04:53:19 - mmengine - INFO - Epoch(train) [39][620/3757] lr: 1.0000e-02 eta: 1 day, 18:49:48 time: 0.7353 data_time: 0.0214 memory: 17350 grad_norm: 5.4261 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6471 loss: 1.6471 2022/07/23 04:53:31 - mmengine - INFO - Epoch(train) [39][640/3757] lr: 1.0000e-02 eta: 1 day, 18:49:32 time: 0.5837 data_time: 0.0241 memory: 17350 grad_norm: 5.6271 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8997 loss: 1.8997 2022/07/23 04:53:46 - mmengine - INFO - Epoch(train) [39][660/3757] lr: 1.0000e-02 eta: 1 day, 18:49:22 time: 0.7641 data_time: 0.0231 memory: 17350 grad_norm: 5.4676 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8386 loss: 1.8386 2022/07/23 04:53:58 - mmengine - INFO - Epoch(train) [39][680/3757] lr: 1.0000e-02 eta: 1 day, 18:49:07 time: 0.6106 data_time: 0.0242 memory: 17350 grad_norm: 5.5635 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5389 loss: 1.5389 2022/07/23 04:54:13 - mmengine - INFO - Epoch(train) [39][700/3757] lr: 1.0000e-02 eta: 1 day, 18:48:56 time: 0.7425 data_time: 0.0215 memory: 17350 grad_norm: 5.7203 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9354 loss: 1.9354 2022/07/23 04:54:24 - mmengine - INFO - Epoch(train) [39][720/3757] lr: 1.0000e-02 eta: 1 day, 18:48:39 time: 0.5507 data_time: 0.0247 memory: 17350 grad_norm: 5.4781 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8961 loss: 1.8961 2022/07/23 04:54:39 - mmengine - INFO - Epoch(train) [39][740/3757] lr: 1.0000e-02 eta: 1 day, 18:48:28 time: 0.7299 data_time: 0.0228 memory: 17350 grad_norm: 5.5350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8760 loss: 1.8760 2022/07/23 04:54:52 - mmengine - INFO - Epoch(train) [39][760/3757] lr: 1.0000e-02 eta: 1 day, 18:48:14 time: 0.6334 data_time: 0.0229 memory: 17350 grad_norm: 5.7862 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 1.8714 loss: 1.8714 2022/07/23 04:55:06 - mmengine - INFO - Epoch(train) [39][780/3757] lr: 1.0000e-02 eta: 1 day, 18:48:02 time: 0.7179 data_time: 0.0236 memory: 17350 grad_norm: 5.5856 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7503 loss: 1.7503 2022/07/23 04:55:18 - mmengine - INFO - Epoch(train) [39][800/3757] lr: 1.0000e-02 eta: 1 day, 18:47:48 time: 0.6201 data_time: 0.0223 memory: 17350 grad_norm: 5.6693 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6600 loss: 1.6600 2022/07/23 04:55:32 - mmengine - INFO - Epoch(train) [39][820/3757] lr: 1.0000e-02 eta: 1 day, 18:47:35 time: 0.6856 data_time: 0.0456 memory: 17350 grad_norm: 5.6118 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6979 loss: 1.6979 2022/07/23 04:55:44 - mmengine - INFO - Epoch(train) [39][840/3757] lr: 1.0000e-02 eta: 1 day, 18:47:20 time: 0.6048 data_time: 0.0381 memory: 17350 grad_norm: 5.6392 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9201 loss: 1.9201 2022/07/23 04:55:59 - mmengine - INFO - Epoch(train) [39][860/3757] lr: 1.0000e-02 eta: 1 day, 18:47:09 time: 0.7478 data_time: 0.0547 memory: 17350 grad_norm: 5.7581 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9193 loss: 1.9193 2022/07/23 04:56:11 - mmengine - INFO - Epoch(train) [39][880/3757] lr: 1.0000e-02 eta: 1 day, 18:46:54 time: 0.6140 data_time: 0.0271 memory: 17350 grad_norm: 5.7286 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7672 loss: 1.7672 2022/07/23 04:56:26 - mmengine - INFO - Epoch(train) [39][900/3757] lr: 1.0000e-02 eta: 1 day, 18:46:44 time: 0.7412 data_time: 0.0441 memory: 17350 grad_norm: 5.7089 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0130 loss: 2.0130 2022/07/23 04:56:38 - mmengine - INFO - Epoch(train) [39][920/3757] lr: 1.0000e-02 eta: 1 day, 18:46:28 time: 0.5792 data_time: 0.0458 memory: 17350 grad_norm: 5.5715 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8393 loss: 1.8393 2022/07/23 04:56:52 - mmengine - INFO - Epoch(train) [39][940/3757] lr: 1.0000e-02 eta: 1 day, 18:46:16 time: 0.7287 data_time: 0.0782 memory: 17350 grad_norm: 5.6812 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9702 loss: 1.9702 2022/07/23 04:57:04 - mmengine - INFO - Epoch(train) [39][960/3757] lr: 1.0000e-02 eta: 1 day, 18:46:01 time: 0.5896 data_time: 0.0231 memory: 17350 grad_norm: 5.5688 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4727 loss: 1.4727 2022/07/23 04:57:19 - mmengine - INFO - Epoch(train) [39][980/3757] lr: 1.0000e-02 eta: 1 day, 18:45:49 time: 0.7223 data_time: 0.0203 memory: 17350 grad_norm: 5.7148 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0075 loss: 2.0075 2022/07/23 04:57:31 - mmengine - INFO - Epoch(train) [39][1000/3757] lr: 1.0000e-02 eta: 1 day, 18:45:35 time: 0.6182 data_time: 0.0277 memory: 17350 grad_norm: 5.7838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5628 loss: 1.5628 2022/07/23 04:57:45 - mmengine - INFO - Epoch(train) [39][1020/3757] lr: 1.0000e-02 eta: 1 day, 18:45:23 time: 0.7223 data_time: 0.0226 memory: 17350 grad_norm: 5.5704 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7607 loss: 1.7607 2022/07/23 04:57:58 - mmengine - INFO - Epoch(train) [39][1040/3757] lr: 1.0000e-02 eta: 1 day, 18:45:08 time: 0.6108 data_time: 0.0235 memory: 17350 grad_norm: 5.5257 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0973 loss: 2.0973 2022/07/23 04:58:12 - mmengine - INFO - Epoch(train) [39][1060/3757] lr: 1.0000e-02 eta: 1 day, 18:44:57 time: 0.7157 data_time: 0.0215 memory: 17350 grad_norm: 5.7067 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6666 loss: 1.6666 2022/07/23 04:58:25 - mmengine - INFO - Epoch(train) [39][1080/3757] lr: 1.0000e-02 eta: 1 day, 18:44:43 time: 0.6354 data_time: 0.0272 memory: 17350 grad_norm: 5.5256 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9167 loss: 1.9167 2022/07/23 04:58:40 - mmengine - INFO - Epoch(train) [39][1100/3757] lr: 1.0000e-02 eta: 1 day, 18:44:32 time: 0.7534 data_time: 0.0240 memory: 17350 grad_norm: 5.4389 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6126 loss: 1.6126 2022/07/23 04:58:51 - mmengine - INFO - Epoch(train) [39][1120/3757] lr: 1.0000e-02 eta: 1 day, 18:44:16 time: 0.5814 data_time: 0.0224 memory: 17350 grad_norm: 5.6829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7591 loss: 1.7591 2022/07/23 04:59:05 - mmengine - INFO - Epoch(train) [39][1140/3757] lr: 1.0000e-02 eta: 1 day, 18:44:04 time: 0.6982 data_time: 0.0221 memory: 17350 grad_norm: 5.6899 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7646 loss: 1.7646 2022/07/23 04:59:17 - mmengine - INFO - Epoch(train) [39][1160/3757] lr: 1.0000e-02 eta: 1 day, 18:43:49 time: 0.6009 data_time: 0.0233 memory: 17350 grad_norm: 5.4029 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6264 loss: 1.6264 2022/07/23 04:59:31 - mmengine - INFO - Epoch(train) [39][1180/3757] lr: 1.0000e-02 eta: 1 day, 18:43:35 time: 0.6570 data_time: 0.0223 memory: 17350 grad_norm: 5.6293 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7657 loss: 1.7657 2022/07/23 04:59:43 - mmengine - INFO - Epoch(train) [39][1200/3757] lr: 1.0000e-02 eta: 1 day, 18:43:21 time: 0.6375 data_time: 0.0244 memory: 17350 grad_norm: 5.5893 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5930 loss: 1.5930 2022/07/23 04:59:58 - mmengine - INFO - Epoch(train) [39][1220/3757] lr: 1.0000e-02 eta: 1 day, 18:43:10 time: 0.7207 data_time: 0.0222 memory: 17350 grad_norm: 5.5393 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9068 loss: 1.9068 2022/07/23 05:00:06 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 05:00:10 - mmengine - INFO - Epoch(train) [39][1240/3757] lr: 1.0000e-02 eta: 1 day, 18:42:55 time: 0.6299 data_time: 0.0248 memory: 17350 grad_norm: 5.7941 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7347 loss: 1.7347 2022/07/23 05:00:25 - mmengine - INFO - Epoch(train) [39][1260/3757] lr: 1.0000e-02 eta: 1 day, 18:42:45 time: 0.7525 data_time: 0.0227 memory: 17350 grad_norm: 5.6715 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8831 loss: 1.8831 2022/07/23 05:00:38 - mmengine - INFO - Epoch(train) [39][1280/3757] lr: 1.0000e-02 eta: 1 day, 18:42:30 time: 0.6065 data_time: 0.0235 memory: 17350 grad_norm: 5.6489 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7984 loss: 1.7984 2022/07/23 05:00:53 - mmengine - INFO - Epoch(train) [39][1300/3757] lr: 1.0000e-02 eta: 1 day, 18:42:19 time: 0.7525 data_time: 0.0215 memory: 17350 grad_norm: 5.5799 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9153 loss: 1.9153 2022/07/23 05:01:04 - mmengine - INFO - Epoch(train) [39][1320/3757] lr: 1.0000e-02 eta: 1 day, 18:42:04 time: 0.5826 data_time: 0.0237 memory: 17350 grad_norm: 5.6131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9120 loss: 1.9120 2022/07/23 05:01:19 - mmengine - INFO - Epoch(train) [39][1340/3757] lr: 1.0000e-02 eta: 1 day, 18:41:52 time: 0.7179 data_time: 0.0212 memory: 17350 grad_norm: 5.4598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8573 loss: 1.8573 2022/07/23 05:01:31 - mmengine - INFO - Epoch(train) [39][1360/3757] lr: 1.0000e-02 eta: 1 day, 18:41:37 time: 0.6200 data_time: 0.0238 memory: 17350 grad_norm: 5.4887 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9037 loss: 1.9037 2022/07/23 05:01:46 - mmengine - INFO - Epoch(train) [39][1380/3757] lr: 1.0000e-02 eta: 1 day, 18:41:26 time: 0.7271 data_time: 0.0237 memory: 17350 grad_norm: 5.6066 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8371 loss: 1.8371 2022/07/23 05:01:57 - mmengine - INFO - Epoch(train) [39][1400/3757] lr: 1.0000e-02 eta: 1 day, 18:41:09 time: 0.5454 data_time: 0.0240 memory: 17350 grad_norm: 5.5742 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9791 loss: 1.9791 2022/07/23 05:02:12 - mmengine - INFO - Epoch(train) [39][1420/3757] lr: 1.0000e-02 eta: 1 day, 18:40:59 time: 0.7517 data_time: 0.0205 memory: 17350 grad_norm: 5.6010 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7054 loss: 1.7054 2022/07/23 05:02:23 - mmengine - INFO - Epoch(train) [39][1440/3757] lr: 1.0000e-02 eta: 1 day, 18:40:43 time: 0.5884 data_time: 0.0227 memory: 17350 grad_norm: 5.4725 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7397 loss: 1.7397 2022/07/23 05:02:38 - mmengine - INFO - Epoch(train) [39][1460/3757] lr: 1.0000e-02 eta: 1 day, 18:40:32 time: 0.7403 data_time: 0.0210 memory: 17350 grad_norm: 5.6187 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7026 loss: 1.7026 2022/07/23 05:02:51 - mmengine - INFO - Epoch(train) [39][1480/3757] lr: 1.0000e-02 eta: 1 day, 18:40:18 time: 0.6253 data_time: 0.0250 memory: 17350 grad_norm: 5.4791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7114 loss: 1.7114 2022/07/23 05:03:05 - mmengine - INFO - Epoch(train) [39][1500/3757] lr: 1.0000e-02 eta: 1 day, 18:40:06 time: 0.7063 data_time: 0.0216 memory: 17350 grad_norm: 5.6197 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7268 loss: 1.7268 2022/07/23 05:03:17 - mmengine - INFO - Epoch(train) [39][1520/3757] lr: 1.0000e-02 eta: 1 day, 18:39:51 time: 0.6130 data_time: 0.0265 memory: 17350 grad_norm: 5.5604 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6977 loss: 1.6977 2022/07/23 05:03:33 - mmengine - INFO - Epoch(train) [39][1540/3757] lr: 1.0000e-02 eta: 1 day, 18:39:41 time: 0.7757 data_time: 0.0261 memory: 17350 grad_norm: 5.6899 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8966 loss: 1.8966 2022/07/23 05:03:45 - mmengine - INFO - Epoch(train) [39][1560/3757] lr: 1.0000e-02 eta: 1 day, 18:39:26 time: 0.5993 data_time: 0.0260 memory: 17350 grad_norm: 5.8209 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9750 loss: 1.9750 2022/07/23 05:03:59 - mmengine - INFO - Epoch(train) [39][1580/3757] lr: 1.0000e-02 eta: 1 day, 18:39:14 time: 0.7162 data_time: 0.0221 memory: 17350 grad_norm: 5.7217 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6815 loss: 1.6815 2022/07/23 05:04:10 - mmengine - INFO - Epoch(train) [39][1600/3757] lr: 1.0000e-02 eta: 1 day, 18:38:58 time: 0.5727 data_time: 0.0221 memory: 17350 grad_norm: 5.6176 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9748 loss: 1.9748 2022/07/23 05:04:25 - mmengine - INFO - Epoch(train) [39][1620/3757] lr: 1.0000e-02 eta: 1 day, 18:38:46 time: 0.7145 data_time: 0.0201 memory: 17350 grad_norm: 5.4582 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7295 loss: 1.7295 2022/07/23 05:04:37 - mmengine - INFO - Epoch(train) [39][1640/3757] lr: 1.0000e-02 eta: 1 day, 18:38:31 time: 0.5989 data_time: 0.0221 memory: 17350 grad_norm: 5.4832 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8451 loss: 1.8451 2022/07/23 05:04:51 - mmengine - INFO - Epoch(train) [39][1660/3757] lr: 1.0000e-02 eta: 1 day, 18:38:19 time: 0.7076 data_time: 0.0217 memory: 17350 grad_norm: 5.6401 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9661 loss: 1.9661 2022/07/23 05:05:04 - mmengine - INFO - Epoch(train) [39][1680/3757] lr: 1.0000e-02 eta: 1 day, 18:38:06 time: 0.6629 data_time: 0.0221 memory: 17350 grad_norm: 5.7614 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8426 loss: 1.8426 2022/07/23 05:05:19 - mmengine - INFO - Epoch(train) [39][1700/3757] lr: 1.0000e-02 eta: 1 day, 18:37:54 time: 0.7248 data_time: 0.0210 memory: 17350 grad_norm: 5.5903 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3231 loss: 2.3231 2022/07/23 05:05:31 - mmengine - INFO - Epoch(train) [39][1720/3757] lr: 1.0000e-02 eta: 1 day, 18:37:40 time: 0.6279 data_time: 0.0218 memory: 17350 grad_norm: 5.5007 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6407 loss: 1.6407 2022/07/23 05:05:44 - mmengine - INFO - Epoch(train) [39][1740/3757] lr: 1.0000e-02 eta: 1 day, 18:37:27 time: 0.6587 data_time: 0.0219 memory: 17350 grad_norm: 5.7183 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9923 loss: 1.9923 2022/07/23 05:05:58 - mmengine - INFO - Epoch(train) [39][1760/3757] lr: 1.0000e-02 eta: 1 day, 18:37:14 time: 0.6788 data_time: 0.0235 memory: 17350 grad_norm: 5.5700 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7923 loss: 1.7923 2022/07/23 05:06:10 - mmengine - INFO - Epoch(train) [39][1780/3757] lr: 1.0000e-02 eta: 1 day, 18:36:59 time: 0.6227 data_time: 0.0245 memory: 17350 grad_norm: 5.5560 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0026 loss: 2.0026 2022/07/23 05:06:25 - mmengine - INFO - Epoch(train) [39][1800/3757] lr: 1.0000e-02 eta: 1 day, 18:36:47 time: 0.7042 data_time: 0.0226 memory: 17350 grad_norm: 5.6503 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8932 loss: 1.8932 2022/07/23 05:06:36 - mmengine - INFO - Epoch(train) [39][1820/3757] lr: 1.0000e-02 eta: 1 day, 18:36:32 time: 0.5962 data_time: 0.0246 memory: 17350 grad_norm: 5.5496 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6263 loss: 1.6263 2022/07/23 05:06:50 - mmengine - INFO - Epoch(train) [39][1840/3757] lr: 1.0000e-02 eta: 1 day, 18:36:19 time: 0.6928 data_time: 0.0219 memory: 17350 grad_norm: 5.7608 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6310 loss: 1.6310 2022/07/23 05:07:03 - mmengine - INFO - Epoch(train) [39][1860/3757] lr: 1.0000e-02 eta: 1 day, 18:36:05 time: 0.6131 data_time: 0.0227 memory: 17350 grad_norm: 5.7654 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8821 loss: 1.8821 2022/07/23 05:07:17 - mmengine - INFO - Epoch(train) [39][1880/3757] lr: 1.0000e-02 eta: 1 day, 18:35:53 time: 0.7292 data_time: 0.0213 memory: 17350 grad_norm: 5.5593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7475 loss: 1.7475 2022/07/23 05:07:29 - mmengine - INFO - Epoch(train) [39][1900/3757] lr: 1.0000e-02 eta: 1 day, 18:35:38 time: 0.6037 data_time: 0.0245 memory: 17350 grad_norm: 5.5474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8065 loss: 1.8065 2022/07/23 05:07:44 - mmengine - INFO - Epoch(train) [39][1920/3757] lr: 1.0000e-02 eta: 1 day, 18:35:27 time: 0.7446 data_time: 0.0225 memory: 17350 grad_norm: 5.3466 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7950 loss: 1.7950 2022/07/23 05:07:56 - mmengine - INFO - Epoch(train) [39][1940/3757] lr: 1.0000e-02 eta: 1 day, 18:35:12 time: 0.5962 data_time: 0.0237 memory: 17350 grad_norm: 5.7748 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8805 loss: 1.8805 2022/07/23 05:08:11 - mmengine - INFO - Epoch(train) [39][1960/3757] lr: 1.0000e-02 eta: 1 day, 18:35:01 time: 0.7269 data_time: 0.0205 memory: 17350 grad_norm: 5.6720 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9982 loss: 1.9982 2022/07/23 05:08:22 - mmengine - INFO - Epoch(train) [39][1980/3757] lr: 1.0000e-02 eta: 1 day, 18:34:45 time: 0.5808 data_time: 0.0226 memory: 17350 grad_norm: 5.6739 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9635 loss: 1.9635 2022/07/23 05:08:37 - mmengine - INFO - Epoch(train) [39][2000/3757] lr: 1.0000e-02 eta: 1 day, 18:34:34 time: 0.7350 data_time: 0.0220 memory: 17350 grad_norm: 5.7826 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8012 loss: 1.8012 2022/07/23 05:08:49 - mmengine - INFO - Epoch(train) [39][2020/3757] lr: 1.0000e-02 eta: 1 day, 18:34:19 time: 0.6164 data_time: 0.0221 memory: 17350 grad_norm: 5.6208 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8195 loss: 1.8195 2022/07/23 05:09:04 - mmengine - INFO - Epoch(train) [39][2040/3757] lr: 1.0000e-02 eta: 1 day, 18:34:09 time: 0.7527 data_time: 0.0232 memory: 17350 grad_norm: 5.3451 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5994 loss: 1.5994 2022/07/23 05:09:17 - mmengine - INFO - Epoch(train) [39][2060/3757] lr: 1.0000e-02 eta: 1 day, 18:33:53 time: 0.6040 data_time: 0.0238 memory: 17350 grad_norm: 5.4153 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6488 loss: 1.6488 2022/07/23 05:09:32 - mmengine - INFO - Epoch(train) [39][2080/3757] lr: 1.0000e-02 eta: 1 day, 18:33:43 time: 0.7496 data_time: 0.0199 memory: 17350 grad_norm: 5.6445 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6963 loss: 1.6963 2022/07/23 05:09:44 - mmengine - INFO - Epoch(train) [39][2100/3757] lr: 1.0000e-02 eta: 1 day, 18:33:28 time: 0.6262 data_time: 0.0200 memory: 17350 grad_norm: 5.6718 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6056 loss: 1.6056 2022/07/23 05:10:00 - mmengine - INFO - Epoch(train) [39][2120/3757] lr: 1.0000e-02 eta: 1 day, 18:33:19 time: 0.7921 data_time: 0.0219 memory: 17350 grad_norm: 5.8650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7749 loss: 1.7749 2022/07/23 05:10:12 - mmengine - INFO - Epoch(train) [39][2140/3757] lr: 1.0000e-02 eta: 1 day, 18:33:03 time: 0.5821 data_time: 0.0232 memory: 17350 grad_norm: 5.7685 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9064 loss: 1.9064 2022/07/23 05:10:26 - mmengine - INFO - Epoch(train) [39][2160/3757] lr: 1.0000e-02 eta: 1 day, 18:32:51 time: 0.7067 data_time: 0.0222 memory: 17350 grad_norm: 5.7497 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7049 loss: 1.7049 2022/07/23 05:10:38 - mmengine - INFO - Epoch(train) [39][2180/3757] lr: 1.0000e-02 eta: 1 day, 18:32:36 time: 0.5924 data_time: 0.0251 memory: 17350 grad_norm: 5.6859 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0613 loss: 2.0613 2022/07/23 05:10:52 - mmengine - INFO - Epoch(train) [39][2200/3757] lr: 1.0000e-02 eta: 1 day, 18:32:24 time: 0.7108 data_time: 0.0235 memory: 17350 grad_norm: 5.6007 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8130 loss: 1.8130 2022/07/23 05:11:04 - mmengine - INFO - Epoch(train) [39][2220/3757] lr: 1.0000e-02 eta: 1 day, 18:32:09 time: 0.5943 data_time: 0.0239 memory: 17350 grad_norm: 5.6491 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6700 loss: 1.6700 2022/07/23 05:11:13 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 05:11:18 - mmengine - INFO - Epoch(train) [39][2240/3757] lr: 1.0000e-02 eta: 1 day, 18:31:57 time: 0.7234 data_time: 0.0226 memory: 17350 grad_norm: 5.6094 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7121 loss: 1.7121 2022/07/23 05:11:30 - mmengine - INFO - Epoch(train) [39][2260/3757] lr: 1.0000e-02 eta: 1 day, 18:31:42 time: 0.6069 data_time: 0.0253 memory: 17350 grad_norm: 5.6924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7501 loss: 1.7501 2022/07/23 05:11:45 - mmengine - INFO - Epoch(train) [39][2280/3757] lr: 1.0000e-02 eta: 1 day, 18:31:30 time: 0.7104 data_time: 0.0220 memory: 17350 grad_norm: 5.4961 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5963 loss: 1.5963 2022/07/23 05:11:56 - mmengine - INFO - Epoch(train) [39][2300/3757] lr: 1.0000e-02 eta: 1 day, 18:31:15 time: 0.5872 data_time: 0.0227 memory: 17350 grad_norm: 5.7182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7853 loss: 1.7853 2022/07/23 05:12:10 - mmengine - INFO - Epoch(train) [39][2320/3757] lr: 1.0000e-02 eta: 1 day, 18:31:03 time: 0.7027 data_time: 0.0206 memory: 17350 grad_norm: 5.6489 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0354 loss: 2.0354 2022/07/23 05:12:23 - mmengine - INFO - Epoch(train) [39][2340/3757] lr: 1.0000e-02 eta: 1 day, 18:30:49 time: 0.6534 data_time: 0.0235 memory: 17350 grad_norm: 5.4888 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7932 loss: 1.7932 2022/07/23 05:12:38 - mmengine - INFO - Epoch(train) [39][2360/3757] lr: 1.0000e-02 eta: 1 day, 18:30:39 time: 0.7509 data_time: 0.0222 memory: 17350 grad_norm: 5.7442 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6807 loss: 1.6807 2022/07/23 05:12:50 - mmengine - INFO - Epoch(train) [39][2380/3757] lr: 1.0000e-02 eta: 1 day, 18:30:23 time: 0.5776 data_time: 0.0244 memory: 17350 grad_norm: 5.5552 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7376 loss: 1.7376 2022/07/23 05:13:04 - mmengine - INFO - Epoch(train) [39][2400/3757] lr: 1.0000e-02 eta: 1 day, 18:30:11 time: 0.7223 data_time: 0.0227 memory: 17350 grad_norm: 5.7895 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2434 loss: 2.2434 2022/07/23 05:13:17 - mmengine - INFO - Epoch(train) [39][2420/3757] lr: 1.0000e-02 eta: 1 day, 18:29:56 time: 0.6120 data_time: 0.0243 memory: 17350 grad_norm: 5.5265 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7072 loss: 1.7072 2022/07/23 05:13:32 - mmengine - INFO - Epoch(train) [39][2440/3757] lr: 1.0000e-02 eta: 1 day, 18:29:45 time: 0.7391 data_time: 0.0223 memory: 17350 grad_norm: 5.6666 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5475 loss: 1.5475 2022/07/23 05:13:43 - mmengine - INFO - Epoch(train) [39][2460/3757] lr: 1.0000e-02 eta: 1 day, 18:29:30 time: 0.5889 data_time: 0.0242 memory: 17350 grad_norm: 5.6449 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6333 loss: 1.6333 2022/07/23 05:13:58 - mmengine - INFO - Epoch(train) [39][2480/3757] lr: 1.0000e-02 eta: 1 day, 18:29:19 time: 0.7469 data_time: 0.0224 memory: 17350 grad_norm: 5.4475 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1866 loss: 2.1866 2022/07/23 05:14:10 - mmengine - INFO - Epoch(train) [39][2500/3757] lr: 1.0000e-02 eta: 1 day, 18:29:04 time: 0.6033 data_time: 0.0294 memory: 17350 grad_norm: 5.4823 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7285 loss: 1.7285 2022/07/23 05:14:25 - mmengine - INFO - Epoch(train) [39][2520/3757] lr: 1.0000e-02 eta: 1 day, 18:28:53 time: 0.7312 data_time: 0.0221 memory: 17350 grad_norm: 5.5277 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9311 loss: 1.9311 2022/07/23 05:14:37 - mmengine - INFO - Epoch(train) [39][2540/3757] lr: 1.0000e-02 eta: 1 day, 18:28:38 time: 0.6193 data_time: 0.0228 memory: 17350 grad_norm: 5.4512 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9091 loss: 1.9091 2022/07/23 05:14:51 - mmengine - INFO - Epoch(train) [39][2560/3757] lr: 1.0000e-02 eta: 1 day, 18:28:25 time: 0.6758 data_time: 0.0204 memory: 17350 grad_norm: 5.6161 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8857 loss: 1.8857 2022/07/23 05:15:04 - mmengine - INFO - Epoch(train) [39][2580/3757] lr: 1.0000e-02 eta: 1 day, 18:28:11 time: 0.6488 data_time: 0.0242 memory: 17350 grad_norm: 5.4313 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9426 loss: 1.9426 2022/07/23 05:15:19 - mmengine - INFO - Epoch(train) [39][2600/3757] lr: 1.0000e-02 eta: 1 day, 18:28:01 time: 0.7500 data_time: 0.0227 memory: 17350 grad_norm: 5.5357 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5694 loss: 1.5694 2022/07/23 05:15:30 - mmengine - INFO - Epoch(train) [39][2620/3757] lr: 1.0000e-02 eta: 1 day, 18:27:45 time: 0.5754 data_time: 0.0322 memory: 17350 grad_norm: 5.4813 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8458 loss: 1.8458 2022/07/23 05:15:45 - mmengine - INFO - Epoch(train) [39][2640/3757] lr: 1.0000e-02 eta: 1 day, 18:27:34 time: 0.7385 data_time: 0.0198 memory: 17350 grad_norm: 5.6781 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7686 loss: 1.7686 2022/07/23 05:15:57 - mmengine - INFO - Epoch(train) [39][2660/3757] lr: 1.0000e-02 eta: 1 day, 18:27:19 time: 0.6128 data_time: 0.0224 memory: 17350 grad_norm: 5.6824 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8597 loss: 1.8597 2022/07/23 05:16:11 - mmengine - INFO - Epoch(train) [39][2680/3757] lr: 1.0000e-02 eta: 1 day, 18:27:06 time: 0.6654 data_time: 0.0218 memory: 17350 grad_norm: 5.5472 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2135 loss: 2.2135 2022/07/23 05:16:22 - mmengine - INFO - Epoch(train) [39][2700/3757] lr: 1.0000e-02 eta: 1 day, 18:26:50 time: 0.5736 data_time: 0.0234 memory: 17350 grad_norm: 5.5748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9940 loss: 1.9940 2022/07/23 05:16:36 - mmengine - INFO - Epoch(train) [39][2720/3757] lr: 1.0000e-02 eta: 1 day, 18:26:38 time: 0.7131 data_time: 0.0219 memory: 17350 grad_norm: 5.7869 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7176 loss: 1.7176 2022/07/23 05:16:48 - mmengine - INFO - Epoch(train) [39][2740/3757] lr: 1.0000e-02 eta: 1 day, 18:26:22 time: 0.5692 data_time: 0.0238 memory: 17350 grad_norm: 5.3338 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0186 loss: 2.0186 2022/07/23 05:17:02 - mmengine - INFO - Epoch(train) [39][2760/3757] lr: 1.0000e-02 eta: 1 day, 18:26:10 time: 0.7125 data_time: 0.0226 memory: 17350 grad_norm: 5.6222 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8112 loss: 1.8112 2022/07/23 05:17:15 - mmengine - INFO - Epoch(train) [39][2780/3757] lr: 1.0000e-02 eta: 1 day, 18:25:56 time: 0.6577 data_time: 0.0224 memory: 17350 grad_norm: 5.5900 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8000 loss: 1.8000 2022/07/23 05:17:29 - mmengine - INFO - Epoch(train) [39][2800/3757] lr: 1.0000e-02 eta: 1 day, 18:25:44 time: 0.6887 data_time: 0.0226 memory: 17350 grad_norm: 5.5650 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9769 loss: 1.9769 2022/07/23 05:17:42 - mmengine - INFO - Epoch(train) [39][2820/3757] lr: 1.0000e-02 eta: 1 day, 18:25:30 time: 0.6540 data_time: 0.0222 memory: 17350 grad_norm: 5.5679 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6237 loss: 1.6237 2022/07/23 05:17:56 - mmengine - INFO - Epoch(train) [39][2840/3757] lr: 1.0000e-02 eta: 1 day, 18:25:18 time: 0.6955 data_time: 0.0286 memory: 17350 grad_norm: 5.5730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9235 loss: 1.9235 2022/07/23 05:18:09 - mmengine - INFO - Epoch(train) [39][2860/3757] lr: 1.0000e-02 eta: 1 day, 18:25:04 time: 0.6253 data_time: 0.0355 memory: 17350 grad_norm: 5.8336 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8434 loss: 1.8434 2022/07/23 05:18:23 - mmengine - INFO - Epoch(train) [39][2880/3757] lr: 1.0000e-02 eta: 1 day, 18:24:52 time: 0.7228 data_time: 0.0430 memory: 17350 grad_norm: 5.6672 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7781 loss: 1.7781 2022/07/23 05:18:35 - mmengine - INFO - Epoch(train) [39][2900/3757] lr: 1.0000e-02 eta: 1 day, 18:24:37 time: 0.6119 data_time: 0.1115 memory: 17350 grad_norm: 5.7582 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2502 loss: 2.2502 2022/07/23 05:18:50 - mmengine - INFO - Epoch(train) [39][2920/3757] lr: 1.0000e-02 eta: 1 day, 18:24:26 time: 0.7277 data_time: 0.2674 memory: 17350 grad_norm: 5.6065 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8797 loss: 1.8797 2022/07/23 05:19:03 - mmengine - INFO - Epoch(train) [39][2940/3757] lr: 1.0000e-02 eta: 1 day, 18:24:12 time: 0.6421 data_time: 0.1004 memory: 17350 grad_norm: 5.4939 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9256 loss: 1.9256 2022/07/23 05:19:17 - mmengine - INFO - Epoch(train) [39][2960/3757] lr: 1.0000e-02 eta: 1 day, 18:24:00 time: 0.7116 data_time: 0.0968 memory: 17350 grad_norm: 5.3978 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3658 loss: 2.3658 2022/07/23 05:19:29 - mmengine - INFO - Epoch(train) [39][2980/3757] lr: 1.0000e-02 eta: 1 day, 18:23:45 time: 0.5883 data_time: 0.0686 memory: 17350 grad_norm: 5.3153 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7223 loss: 1.7223 2022/07/23 05:19:43 - mmengine - INFO - Epoch(train) [39][3000/3757] lr: 1.0000e-02 eta: 1 day, 18:23:33 time: 0.7009 data_time: 0.0815 memory: 17350 grad_norm: 5.4327 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8901 loss: 1.8901 2022/07/23 05:19:55 - mmengine - INFO - Epoch(train) [39][3020/3757] lr: 1.0000e-02 eta: 1 day, 18:23:18 time: 0.6319 data_time: 0.0734 memory: 17350 grad_norm: 5.7303 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9324 loss: 1.9324 2022/07/23 05:20:09 - mmengine - INFO - Epoch(train) [39][3040/3757] lr: 1.0000e-02 eta: 1 day, 18:23:06 time: 0.6807 data_time: 0.0255 memory: 17350 grad_norm: 5.5356 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8376 loss: 1.8376 2022/07/23 05:20:23 - mmengine - INFO - Epoch(train) [39][3060/3757] lr: 1.0000e-02 eta: 1 day, 18:22:53 time: 0.6838 data_time: 0.0508 memory: 17350 grad_norm: 5.5691 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9026 loss: 1.9026 2022/07/23 05:20:36 - mmengine - INFO - Epoch(train) [39][3080/3757] lr: 1.0000e-02 eta: 1 day, 18:22:39 time: 0.6385 data_time: 0.1092 memory: 17350 grad_norm: 5.5716 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7208 loss: 1.7208 2022/07/23 05:20:49 - mmengine - INFO - Epoch(train) [39][3100/3757] lr: 1.0000e-02 eta: 1 day, 18:22:27 time: 0.6919 data_time: 0.0242 memory: 17350 grad_norm: 5.6914 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7264 loss: 1.7264 2022/07/23 05:21:03 - mmengine - INFO - Epoch(train) [39][3120/3757] lr: 1.0000e-02 eta: 1 day, 18:22:13 time: 0.6650 data_time: 0.0201 memory: 17350 grad_norm: 5.4513 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8653 loss: 1.8653 2022/07/23 05:21:16 - mmengine - INFO - Epoch(train) [39][3140/3757] lr: 1.0000e-02 eta: 1 day, 18:22:00 time: 0.6550 data_time: 0.0236 memory: 17350 grad_norm: 5.6899 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7652 loss: 1.7652 2022/07/23 05:21:28 - mmengine - INFO - Epoch(train) [39][3160/3757] lr: 1.0000e-02 eta: 1 day, 18:21:46 time: 0.6348 data_time: 0.0223 memory: 17350 grad_norm: 5.6090 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9741 loss: 1.9741 2022/07/23 05:21:43 - mmengine - INFO - Epoch(train) [39][3180/3757] lr: 1.0000e-02 eta: 1 day, 18:21:34 time: 0.7126 data_time: 0.0216 memory: 17350 grad_norm: 5.6004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8839 loss: 1.8839 2022/07/23 05:21:56 - mmengine - INFO - Epoch(train) [39][3200/3757] lr: 1.0000e-02 eta: 1 day, 18:21:20 time: 0.6449 data_time: 0.0240 memory: 17350 grad_norm: 5.7143 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8796 loss: 1.8796 2022/07/23 05:22:09 - mmengine - INFO - Epoch(train) [39][3220/3757] lr: 1.0000e-02 eta: 1 day, 18:21:07 time: 0.6719 data_time: 0.0230 memory: 17350 grad_norm: 5.5787 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9153 loss: 1.9153 2022/07/23 05:22:19 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 05:22:23 - mmengine - INFO - Epoch(train) [39][3240/3757] lr: 1.0000e-02 eta: 1 day, 18:20:54 time: 0.6788 data_time: 0.0221 memory: 17350 grad_norm: 5.7201 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8853 loss: 1.8853 2022/07/23 05:22:35 - mmengine - INFO - Epoch(train) [39][3260/3757] lr: 1.0000e-02 eta: 1 day, 18:20:39 time: 0.6203 data_time: 0.0230 memory: 17350 grad_norm: 5.6406 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9212 loss: 1.9212 2022/07/23 05:22:49 - mmengine - INFO - Epoch(train) [39][3280/3757] lr: 1.0000e-02 eta: 1 day, 18:20:28 time: 0.7132 data_time: 0.0234 memory: 17350 grad_norm: 5.6668 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9484 loss: 1.9484 2022/07/23 05:23:02 - mmengine - INFO - Epoch(train) [39][3300/3757] lr: 1.0000e-02 eta: 1 day, 18:20:13 time: 0.6088 data_time: 0.0225 memory: 17350 grad_norm: 5.4692 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7880 loss: 1.7880 2022/07/23 05:23:16 - mmengine - INFO - Epoch(train) [39][3320/3757] lr: 1.0000e-02 eta: 1 day, 18:20:02 time: 0.7425 data_time: 0.0231 memory: 17350 grad_norm: 5.5628 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9345 loss: 1.9345 2022/07/23 05:23:29 - mmengine - INFO - Epoch(train) [39][3340/3757] lr: 1.0000e-02 eta: 1 day, 18:19:47 time: 0.6070 data_time: 0.0253 memory: 17350 grad_norm: 5.7729 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8489 loss: 1.8489 2022/07/23 05:23:43 - mmengine - INFO - Epoch(train) [39][3360/3757] lr: 1.0000e-02 eta: 1 day, 18:19:36 time: 0.7296 data_time: 0.0203 memory: 17350 grad_norm: 5.6070 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7790 loss: 1.7790 2022/07/23 05:23:55 - mmengine - INFO - Epoch(train) [39][3380/3757] lr: 1.0000e-02 eta: 1 day, 18:19:20 time: 0.5951 data_time: 0.0232 memory: 17350 grad_norm: 5.7523 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7862 loss: 1.7862 2022/07/23 05:24:09 - mmengine - INFO - Epoch(train) [39][3400/3757] lr: 1.0000e-02 eta: 1 day, 18:19:08 time: 0.7057 data_time: 0.0207 memory: 17350 grad_norm: 5.4423 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6209 loss: 1.6209 2022/07/23 05:24:23 - mmengine - INFO - Epoch(train) [39][3420/3757] lr: 1.0000e-02 eta: 1 day, 18:18:55 time: 0.6643 data_time: 0.0229 memory: 17350 grad_norm: 5.5938 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6862 loss: 1.6862 2022/07/23 05:24:36 - mmengine - INFO - Epoch(train) [39][3440/3757] lr: 1.0000e-02 eta: 1 day, 18:18:41 time: 0.6511 data_time: 0.0242 memory: 17350 grad_norm: 5.6682 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9680 loss: 1.9680 2022/07/23 05:24:50 - mmengine - INFO - Epoch(train) [39][3460/3757] lr: 1.0000e-02 eta: 1 day, 18:18:30 time: 0.7372 data_time: 0.0258 memory: 17350 grad_norm: 5.5335 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9218 loss: 1.9218 2022/07/23 05:25:02 - mmengine - INFO - Epoch(train) [39][3480/3757] lr: 1.0000e-02 eta: 1 day, 18:18:15 time: 0.6051 data_time: 0.0230 memory: 17350 grad_norm: 5.3226 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7496 loss: 1.7496 2022/07/23 05:25:17 - mmengine - INFO - Epoch(train) [39][3500/3757] lr: 1.0000e-02 eta: 1 day, 18:18:05 time: 0.7516 data_time: 0.0242 memory: 17350 grad_norm: 5.7042 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8113 loss: 1.8113 2022/07/23 05:25:29 - mmengine - INFO - Epoch(train) [39][3520/3757] lr: 1.0000e-02 eta: 1 day, 18:17:49 time: 0.5876 data_time: 0.0221 memory: 17350 grad_norm: 5.6145 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8423 loss: 1.8423 2022/07/23 05:25:44 - mmengine - INFO - Epoch(train) [39][3540/3757] lr: 1.0000e-02 eta: 1 day, 18:17:38 time: 0.7193 data_time: 0.0221 memory: 17350 grad_norm: 5.7004 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9133 loss: 1.9133 2022/07/23 05:25:55 - mmengine - INFO - Epoch(train) [39][3560/3757] lr: 1.0000e-02 eta: 1 day, 18:17:21 time: 0.5695 data_time: 0.0236 memory: 17350 grad_norm: 5.5252 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7439 loss: 1.7439 2022/07/23 05:26:10 - mmengine - INFO - Epoch(train) [39][3580/3757] lr: 1.0000e-02 eta: 1 day, 18:17:10 time: 0.7286 data_time: 0.0139 memory: 17350 grad_norm: 5.5945 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8519 loss: 1.8519 2022/07/23 05:26:21 - mmengine - INFO - Epoch(train) [39][3600/3757] lr: 1.0000e-02 eta: 1 day, 18:16:55 time: 0.5914 data_time: 0.0235 memory: 17350 grad_norm: 5.6165 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8488 loss: 1.8488 2022/07/23 05:26:36 - mmengine - INFO - Epoch(train) [39][3620/3757] lr: 1.0000e-02 eta: 1 day, 18:16:44 time: 0.7458 data_time: 0.0246 memory: 17350 grad_norm: 5.3824 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8623 loss: 1.8623 2022/07/23 05:26:48 - mmengine - INFO - Epoch(train) [39][3640/3757] lr: 1.0000e-02 eta: 1 day, 18:16:28 time: 0.5858 data_time: 0.0266 memory: 17350 grad_norm: 5.5521 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5764 loss: 1.5764 2022/07/23 05:27:03 - mmengine - INFO - Epoch(train) [39][3660/3757] lr: 1.0000e-02 eta: 1 day, 18:16:18 time: 0.7554 data_time: 0.0220 memory: 17350 grad_norm: 5.4677 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7774 loss: 1.7774 2022/07/23 05:27:15 - mmengine - INFO - Epoch(train) [39][3680/3757] lr: 1.0000e-02 eta: 1 day, 18:16:02 time: 0.5827 data_time: 0.0241 memory: 17350 grad_norm: 5.4306 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7415 loss: 1.7415 2022/07/23 05:27:30 - mmengine - INFO - Epoch(train) [39][3700/3757] lr: 1.0000e-02 eta: 1 day, 18:15:51 time: 0.7470 data_time: 0.0261 memory: 17350 grad_norm: 5.5371 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0076 loss: 2.0076 2022/07/23 05:27:41 - mmengine - INFO - Epoch(train) [39][3720/3757] lr: 1.0000e-02 eta: 1 day, 18:15:35 time: 0.5815 data_time: 0.0233 memory: 17350 grad_norm: 5.6518 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0217 loss: 2.0217 2022/07/23 05:27:56 - mmengine - INFO - Epoch(train) [39][3740/3757] lr: 1.0000e-02 eta: 1 day, 18:15:24 time: 0.7100 data_time: 0.0230 memory: 17350 grad_norm: 5.6699 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9093 loss: 1.9093 2022/07/23 05:28:03 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 05:28:03 - mmengine - INFO - Epoch(train) [39][3757/3757] lr: 1.0000e-02 eta: 1 day, 18:15:24 time: 0.5138 data_time: 0.0244 memory: 17350 grad_norm: 5.5460 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.8719 loss: 1.8719 2022/07/23 05:28:20 - mmengine - INFO - Epoch(val) [39][20/310] eta: 0:04:03 time: 0.8396 data_time: 0.7261 memory: 3406 2022/07/23 05:28:31 - mmengine - INFO - Epoch(val) [39][40/310] eta: 0:02:30 time: 0.5576 data_time: 0.4461 memory: 3406 2022/07/23 05:28:46 - mmengine - INFO - Epoch(val) [39][60/310] eta: 0:03:10 time: 0.7625 data_time: 0.6478 memory: 3406 2022/07/23 05:28:57 - mmengine - INFO - Epoch(val) [39][80/310] eta: 0:02:00 time: 0.5228 data_time: 0.4110 memory: 3406 2022/07/23 05:29:13 - mmengine - INFO - Epoch(val) [39][100/310] eta: 0:02:46 time: 0.7918 data_time: 0.6652 memory: 3406 2022/07/23 05:29:23 - mmengine - INFO - Epoch(val) [39][120/310] eta: 0:01:43 time: 0.5445 data_time: 0.4308 memory: 3406 2022/07/23 05:29:39 - mmengine - INFO - Epoch(val) [39][140/310] eta: 0:02:08 time: 0.7587 data_time: 0.6450 memory: 3406 2022/07/23 05:29:50 - mmengine - INFO - Epoch(val) [39][160/310] eta: 0:01:22 time: 0.5515 data_time: 0.4378 memory: 3406 2022/07/23 05:30:05 - mmengine - INFO - Epoch(val) [39][180/310] eta: 0:01:41 time: 0.7838 data_time: 0.6704 memory: 3406 2022/07/23 05:30:16 - mmengine - INFO - Epoch(val) [39][200/310] eta: 0:00:59 time: 0.5448 data_time: 0.4330 memory: 3406 2022/07/23 05:30:32 - mmengine - INFO - Epoch(val) [39][220/310] eta: 0:01:10 time: 0.7867 data_time: 0.6718 memory: 3406 2022/07/23 05:30:44 - mmengine - INFO - Epoch(val) [39][240/310] eta: 0:00:40 time: 0.5746 data_time: 0.4622 memory: 3406 2022/07/23 05:30:58 - mmengine - INFO - Epoch(val) [39][260/310] eta: 0:00:36 time: 0.7387 data_time: 0.6232 memory: 3406 2022/07/23 05:31:09 - mmengine - INFO - Epoch(val) [39][280/310] eta: 0:00:16 time: 0.5490 data_time: 0.4354 memory: 3406 2022/07/23 05:31:24 - mmengine - INFO - Epoch(val) [39][300/310] eta: 0:00:07 time: 0.7505 data_time: 0.6314 memory: 3406 2022/07/23 05:31:29 - mmengine - INFO - Epoch(val) [39][310/310] acc/top1: 0.5887 acc/top5: 0.8209 acc/mean1: 0.5885 2022/07/23 05:31:47 - mmengine - INFO - Epoch(train) [40][20/3757] lr: 1.0000e-02 eta: 1 day, 18:14:49 time: 0.8952 data_time: 0.3642 memory: 17350 grad_norm: 5.5435 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8446 loss: 1.8446 2022/07/23 05:31:59 - mmengine - INFO - Epoch(train) [40][40/3757] lr: 1.0000e-02 eta: 1 day, 18:14:33 time: 0.5791 data_time: 0.1411 memory: 17350 grad_norm: 5.6239 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9878 loss: 1.9878 2022/07/23 05:32:14 - mmengine - INFO - Epoch(train) [40][60/3757] lr: 1.0000e-02 eta: 1 day, 18:14:22 time: 0.7572 data_time: 0.1232 memory: 17350 grad_norm: 5.7203 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2092 loss: 2.2092 2022/07/23 05:32:26 - mmengine - INFO - Epoch(train) [40][80/3757] lr: 1.0000e-02 eta: 1 day, 18:14:07 time: 0.6014 data_time: 0.1035 memory: 17350 grad_norm: 5.4751 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6943 loss: 1.6943 2022/07/23 05:32:40 - mmengine - INFO - Epoch(train) [40][100/3757] lr: 1.0000e-02 eta: 1 day, 18:13:55 time: 0.7156 data_time: 0.1112 memory: 17350 grad_norm: 5.6342 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1427 loss: 2.1427 2022/07/23 05:32:53 - mmengine - INFO - Epoch(train) [40][120/3757] lr: 1.0000e-02 eta: 1 day, 18:13:41 time: 0.6313 data_time: 0.1033 memory: 17350 grad_norm: 5.4417 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8537 loss: 1.8537 2022/07/23 05:33:09 - mmengine - INFO - Epoch(train) [40][140/3757] lr: 1.0000e-02 eta: 1 day, 18:13:32 time: 0.7842 data_time: 0.1188 memory: 17350 grad_norm: 5.4195 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8135 loss: 1.8135 2022/07/23 05:33:20 - mmengine - INFO - Epoch(train) [40][160/3757] lr: 1.0000e-02 eta: 1 day, 18:13:16 time: 0.5885 data_time: 0.1358 memory: 17350 grad_norm: 5.4873 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8933 loss: 1.8933 2022/07/23 05:33:35 - mmengine - INFO - Epoch(train) [40][180/3757] lr: 1.0000e-02 eta: 1 day, 18:13:06 time: 0.7528 data_time: 0.1031 memory: 17350 grad_norm: 5.5466 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9547 loss: 1.9547 2022/07/23 05:33:47 - mmengine - INFO - Epoch(train) [40][200/3757] lr: 1.0000e-02 eta: 1 day, 18:12:50 time: 0.5857 data_time: 0.0311 memory: 17350 grad_norm: 5.6129 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9303 loss: 1.9303 2022/07/23 05:34:02 - mmengine - INFO - Epoch(train) [40][220/3757] lr: 1.0000e-02 eta: 1 day, 18:12:39 time: 0.7275 data_time: 0.0685 memory: 17350 grad_norm: 5.7653 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0844 loss: 2.0844 2022/07/23 05:34:13 - mmengine - INFO - Epoch(train) [40][240/3757] lr: 1.0000e-02 eta: 1 day, 18:12:23 time: 0.5877 data_time: 0.1646 memory: 17350 grad_norm: 5.5866 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5397 loss: 1.5397 2022/07/23 05:34:28 - mmengine - INFO - Epoch(train) [40][260/3757] lr: 1.0000e-02 eta: 1 day, 18:12:11 time: 0.7154 data_time: 0.1297 memory: 17350 grad_norm: 5.6260 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6465 loss: 1.6465 2022/07/23 05:34:40 - mmengine - INFO - Epoch(train) [40][280/3757] lr: 1.0000e-02 eta: 1 day, 18:11:56 time: 0.6079 data_time: 0.0684 memory: 17350 grad_norm: 5.5396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8257 loss: 1.8257 2022/07/23 05:34:55 - mmengine - INFO - Epoch(train) [40][300/3757] lr: 1.0000e-02 eta: 1 day, 18:11:45 time: 0.7365 data_time: 0.1540 memory: 17350 grad_norm: 5.5370 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9423 loss: 1.9423 2022/07/23 05:35:06 - mmengine - INFO - Epoch(train) [40][320/3757] lr: 1.0000e-02 eta: 1 day, 18:11:30 time: 0.5899 data_time: 0.1938 memory: 17350 grad_norm: 5.6906 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9199 loss: 1.9199 2022/07/23 05:35:21 - mmengine - INFO - Epoch(train) [40][340/3757] lr: 1.0000e-02 eta: 1 day, 18:11:19 time: 0.7315 data_time: 0.3176 memory: 17350 grad_norm: 5.6706 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8955 loss: 1.8955 2022/07/23 05:35:34 - mmengine - INFO - Epoch(train) [40][360/3757] lr: 1.0000e-02 eta: 1 day, 18:11:04 time: 0.6351 data_time: 0.2111 memory: 17350 grad_norm: 5.5293 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8349 loss: 1.8349 2022/07/23 05:35:48 - mmengine - INFO - Epoch(train) [40][380/3757] lr: 1.0000e-02 eta: 1 day, 18:10:53 time: 0.7106 data_time: 0.1955 memory: 17350 grad_norm: 5.5532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7604 loss: 1.7604 2022/07/23 05:36:00 - mmengine - INFO - Epoch(train) [40][400/3757] lr: 1.0000e-02 eta: 1 day, 18:10:37 time: 0.5942 data_time: 0.2070 memory: 17350 grad_norm: 5.4882 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6909 loss: 1.6909 2022/07/23 05:36:14 - mmengine - INFO - Epoch(train) [40][420/3757] lr: 1.0000e-02 eta: 1 day, 18:10:26 time: 0.7275 data_time: 0.3292 memory: 17350 grad_norm: 5.7086 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5763 loss: 1.5763 2022/07/23 05:36:27 - mmengine - INFO - Epoch(train) [40][440/3757] lr: 1.0000e-02 eta: 1 day, 18:10:11 time: 0.6230 data_time: 0.2876 memory: 17350 grad_norm: 5.5628 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8639 loss: 1.8639 2022/07/23 05:36:41 - mmengine - INFO - Epoch(train) [40][460/3757] lr: 1.0000e-02 eta: 1 day, 18:09:59 time: 0.7096 data_time: 0.3730 memory: 17350 grad_norm: 5.8054 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8457 loss: 1.8457 2022/07/23 05:36:53 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 05:36:54 - mmengine - INFO - Epoch(train) [40][480/3757] lr: 1.0000e-02 eta: 1 day, 18:09:46 time: 0.6602 data_time: 0.2340 memory: 17350 grad_norm: 5.6218 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7336 loss: 1.7336 2022/07/23 05:37:09 - mmengine - INFO - Epoch(train) [40][500/3757] lr: 1.0000e-02 eta: 1 day, 18:09:35 time: 0.7212 data_time: 0.1812 memory: 17350 grad_norm: 5.5599 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7542 loss: 1.7542 2022/07/23 05:37:21 - mmengine - INFO - Epoch(train) [40][520/3757] lr: 1.0000e-02 eta: 1 day, 18:09:19 time: 0.6014 data_time: 0.0490 memory: 17350 grad_norm: 5.8071 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6730 loss: 1.6730 2022/07/23 05:37:35 - mmengine - INFO - Epoch(train) [40][540/3757] lr: 1.0000e-02 eta: 1 day, 18:09:08 time: 0.7324 data_time: 0.0898 memory: 17350 grad_norm: 5.6935 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8468 loss: 1.8468 2022/07/23 05:37:48 - mmengine - INFO - Epoch(train) [40][560/3757] lr: 1.0000e-02 eta: 1 day, 18:08:54 time: 0.6244 data_time: 0.1142 memory: 17350 grad_norm: 5.5455 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0633 loss: 2.0633 2022/07/23 05:38:02 - mmengine - INFO - Epoch(train) [40][580/3757] lr: 1.0000e-02 eta: 1 day, 18:08:41 time: 0.6770 data_time: 0.0715 memory: 17350 grad_norm: 5.4008 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7774 loss: 1.7774 2022/07/23 05:38:14 - mmengine - INFO - Epoch(train) [40][600/3757] lr: 1.0000e-02 eta: 1 day, 18:08:26 time: 0.6109 data_time: 0.0662 memory: 17350 grad_norm: 5.5228 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8690 loss: 1.8690 2022/07/23 05:38:29 - mmengine - INFO - Epoch(train) [40][620/3757] lr: 1.0000e-02 eta: 1 day, 18:08:15 time: 0.7413 data_time: 0.1027 memory: 17350 grad_norm: 5.7215 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5366 loss: 1.5366 2022/07/23 05:38:41 - mmengine - INFO - Epoch(train) [40][640/3757] lr: 1.0000e-02 eta: 1 day, 18:08:00 time: 0.5960 data_time: 0.1287 memory: 17350 grad_norm: 5.3819 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8235 loss: 1.8235 2022/07/23 05:38:54 - mmengine - INFO - Epoch(train) [40][660/3757] lr: 1.0000e-02 eta: 1 day, 18:07:47 time: 0.6943 data_time: 0.2557 memory: 17350 grad_norm: 5.5894 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.6808 loss: 1.6808 2022/07/23 05:39:06 - mmengine - INFO - Epoch(train) [40][680/3757] lr: 1.0000e-02 eta: 1 day, 18:07:32 time: 0.5905 data_time: 0.2524 memory: 17350 grad_norm: 5.6147 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7900 loss: 1.7900 2022/07/23 05:39:21 - mmengine - INFO - Epoch(train) [40][700/3757] lr: 1.0000e-02 eta: 1 day, 18:07:21 time: 0.7489 data_time: 0.3525 memory: 17350 grad_norm: 5.6114 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7047 loss: 1.7047 2022/07/23 05:39:34 - mmengine - INFO - Epoch(train) [40][720/3757] lr: 1.0000e-02 eta: 1 day, 18:07:07 time: 0.6415 data_time: 0.3118 memory: 17350 grad_norm: 5.5553 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8147 loss: 1.8147 2022/07/23 05:39:48 - mmengine - INFO - Epoch(train) [40][740/3757] lr: 1.0000e-02 eta: 1 day, 18:06:56 time: 0.7137 data_time: 0.3807 memory: 17350 grad_norm: 5.3338 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8766 loss: 1.8766 2022/07/23 05:40:00 - mmengine - INFO - Epoch(train) [40][760/3757] lr: 1.0000e-02 eta: 1 day, 18:06:40 time: 0.6022 data_time: 0.2674 memory: 17350 grad_norm: 5.5926 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7311 loss: 1.7311 2022/07/23 05:40:15 - mmengine - INFO - Epoch(train) [40][780/3757] lr: 1.0000e-02 eta: 1 day, 18:06:29 time: 0.7423 data_time: 0.4091 memory: 17350 grad_norm: 5.5726 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8345 loss: 1.8345 2022/07/23 05:40:27 - mmengine - INFO - Epoch(train) [40][800/3757] lr: 1.0000e-02 eta: 1 day, 18:06:13 time: 0.5757 data_time: 0.2126 memory: 17350 grad_norm: 5.7392 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8962 loss: 1.8962 2022/07/23 05:40:41 - mmengine - INFO - Epoch(train) [40][820/3757] lr: 1.0000e-02 eta: 1 day, 18:06:02 time: 0.7354 data_time: 0.3099 memory: 17350 grad_norm: 5.4561 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8073 loss: 1.8073 2022/07/23 05:40:54 - mmengine - INFO - Epoch(train) [40][840/3757] lr: 1.0000e-02 eta: 1 day, 18:05:48 time: 0.6348 data_time: 0.1489 memory: 17350 grad_norm: 5.6280 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6414 loss: 1.6414 2022/07/23 05:41:08 - mmengine - INFO - Epoch(train) [40][860/3757] lr: 1.0000e-02 eta: 1 day, 18:05:36 time: 0.7105 data_time: 0.2141 memory: 17350 grad_norm: 5.5803 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8052 loss: 1.8052 2022/07/23 05:41:21 - mmengine - INFO - Epoch(train) [40][880/3757] lr: 1.0000e-02 eta: 1 day, 18:05:22 time: 0.6205 data_time: 0.1989 memory: 17350 grad_norm: 5.6630 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7677 loss: 1.7677 2022/07/23 05:41:35 - mmengine - INFO - Epoch(train) [40][900/3757] lr: 1.0000e-02 eta: 1 day, 18:05:10 time: 0.7077 data_time: 0.3141 memory: 17350 grad_norm: 5.7032 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8675 loss: 1.8675 2022/07/23 05:41:47 - mmengine - INFO - Epoch(train) [40][920/3757] lr: 1.0000e-02 eta: 1 day, 18:04:55 time: 0.6093 data_time: 0.2574 memory: 17350 grad_norm: 5.6731 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1139 loss: 2.1139 2022/07/23 05:42:02 - mmengine - INFO - Epoch(train) [40][940/3757] lr: 1.0000e-02 eta: 1 day, 18:04:43 time: 0.7189 data_time: 0.3915 memory: 17350 grad_norm: 5.8454 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6946 loss: 1.6946 2022/07/23 05:42:14 - mmengine - INFO - Epoch(train) [40][960/3757] lr: 1.0000e-02 eta: 1 day, 18:04:29 time: 0.6138 data_time: 0.2253 memory: 17350 grad_norm: 5.4559 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8974 loss: 1.8974 2022/07/23 05:42:28 - mmengine - INFO - Epoch(train) [40][980/3757] lr: 1.0000e-02 eta: 1 day, 18:04:16 time: 0.6824 data_time: 0.2087 memory: 17350 grad_norm: 5.5721 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7806 loss: 1.7806 2022/07/23 05:42:41 - mmengine - INFO - Epoch(train) [40][1000/3757] lr: 1.0000e-02 eta: 1 day, 18:04:02 time: 0.6533 data_time: 0.1435 memory: 17350 grad_norm: 5.4435 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7535 loss: 1.7535 2022/07/23 05:42:54 - mmengine - INFO - Epoch(train) [40][1020/3757] lr: 1.0000e-02 eta: 1 day, 18:03:50 time: 0.6883 data_time: 0.2383 memory: 17350 grad_norm: 5.6791 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8458 loss: 1.8458 2022/07/23 05:43:08 - mmengine - INFO - Epoch(train) [40][1040/3757] lr: 1.0000e-02 eta: 1 day, 18:03:36 time: 0.6561 data_time: 0.2125 memory: 17350 grad_norm: 5.5808 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9442 loss: 1.9442 2022/07/23 05:43:22 - mmengine - INFO - Epoch(train) [40][1060/3757] lr: 1.0000e-02 eta: 1 day, 18:03:25 time: 0.7227 data_time: 0.3183 memory: 17350 grad_norm: 5.6174 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1780 loss: 2.1780 2022/07/23 05:43:34 - mmengine - INFO - Epoch(train) [40][1080/3757] lr: 1.0000e-02 eta: 1 day, 18:03:10 time: 0.6074 data_time: 0.2226 memory: 17350 grad_norm: 5.6018 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8942 loss: 1.8942 2022/07/23 05:43:48 - mmengine - INFO - Epoch(train) [40][1100/3757] lr: 1.0000e-02 eta: 1 day, 18:02:58 time: 0.7061 data_time: 0.2661 memory: 17350 grad_norm: 5.5572 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0723 loss: 2.0723 2022/07/23 05:44:01 - mmengine - INFO - Epoch(train) [40][1120/3757] lr: 1.0000e-02 eta: 1 day, 18:02:44 time: 0.6430 data_time: 0.2038 memory: 17350 grad_norm: 5.5454 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9310 loss: 1.9310 2022/07/23 05:44:15 - mmengine - INFO - Epoch(train) [40][1140/3757] lr: 1.0000e-02 eta: 1 day, 18:02:32 time: 0.7058 data_time: 0.2482 memory: 17350 grad_norm: 5.4243 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5972 loss: 1.5972 2022/07/23 05:44:28 - mmengine - INFO - Epoch(train) [40][1160/3757] lr: 1.0000e-02 eta: 1 day, 18:02:18 time: 0.6484 data_time: 0.1256 memory: 17350 grad_norm: 5.7387 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9461 loss: 1.9461 2022/07/23 05:44:42 - mmengine - INFO - Epoch(train) [40][1180/3757] lr: 1.0000e-02 eta: 1 day, 18:02:06 time: 0.6864 data_time: 0.2602 memory: 17350 grad_norm: 5.7044 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7708 loss: 1.7708 2022/07/23 05:44:55 - mmengine - INFO - Epoch(train) [40][1200/3757] lr: 1.0000e-02 eta: 1 day, 18:01:51 time: 0.6363 data_time: 0.2010 memory: 17350 grad_norm: 5.6080 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8894 loss: 1.8894 2022/07/23 05:45:09 - mmengine - INFO - Epoch(train) [40][1220/3757] lr: 1.0000e-02 eta: 1 day, 18:01:40 time: 0.7203 data_time: 0.3876 memory: 17350 grad_norm: 5.4932 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8642 loss: 1.8642 2022/07/23 05:45:23 - mmengine - INFO - Epoch(train) [40][1240/3757] lr: 1.0000e-02 eta: 1 day, 18:01:28 time: 0.6923 data_time: 0.1959 memory: 17350 grad_norm: 5.4223 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8071 loss: 1.8071 2022/07/23 05:45:35 - mmengine - INFO - Epoch(train) [40][1260/3757] lr: 1.0000e-02 eta: 1 day, 18:01:13 time: 0.6156 data_time: 0.0487 memory: 17350 grad_norm: 5.8530 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7233 loss: 1.7233 2022/07/23 05:45:50 - mmengine - INFO - Epoch(train) [40][1280/3757] lr: 1.0000e-02 eta: 1 day, 18:01:02 time: 0.7277 data_time: 0.0244 memory: 17350 grad_norm: 5.6739 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8030 loss: 1.8030 2022/07/23 05:46:01 - mmengine - INFO - Epoch(train) [40][1300/3757] lr: 1.0000e-02 eta: 1 day, 18:00:45 time: 0.5724 data_time: 0.0238 memory: 17350 grad_norm: 5.7935 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9153 loss: 1.9153 2022/07/23 05:46:16 - mmengine - INFO - Epoch(train) [40][1320/3757] lr: 1.0000e-02 eta: 1 day, 18:00:34 time: 0.7251 data_time: 0.0265 memory: 17350 grad_norm: 5.5950 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1159 loss: 2.1159 2022/07/23 05:46:28 - mmengine - INFO - Epoch(train) [40][1340/3757] lr: 1.0000e-02 eta: 1 day, 18:00:20 time: 0.6327 data_time: 0.0407 memory: 17350 grad_norm: 5.6198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7607 loss: 1.7607 2022/07/23 05:46:42 - mmengine - INFO - Epoch(train) [40][1360/3757] lr: 1.0000e-02 eta: 1 day, 18:00:07 time: 0.6825 data_time: 0.0218 memory: 17350 grad_norm: 5.5012 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5913 loss: 1.5913 2022/07/23 05:46:54 - mmengine - INFO - Epoch(train) [40][1380/3757] lr: 1.0000e-02 eta: 1 day, 17:59:51 time: 0.5858 data_time: 0.0834 memory: 17350 grad_norm: 5.7464 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9924 loss: 1.9924 2022/07/23 05:47:08 - mmengine - INFO - Epoch(train) [40][1400/3757] lr: 1.0000e-02 eta: 1 day, 17:59:40 time: 0.7087 data_time: 0.1107 memory: 17350 grad_norm: 5.7359 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9296 loss: 1.9296 2022/07/23 05:47:21 - mmengine - INFO - Epoch(train) [40][1420/3757] lr: 1.0000e-02 eta: 1 day, 17:59:25 time: 0.6368 data_time: 0.1053 memory: 17350 grad_norm: 5.7472 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6098 loss: 1.6098 2022/07/23 05:47:35 - mmengine - INFO - Epoch(train) [40][1440/3757] lr: 1.0000e-02 eta: 1 day, 17:59:14 time: 0.7094 data_time: 0.1156 memory: 17350 grad_norm: 5.5473 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8195 loss: 1.8195 2022/07/23 05:47:47 - mmengine - INFO - Epoch(train) [40][1460/3757] lr: 1.0000e-02 eta: 1 day, 17:58:59 time: 0.6231 data_time: 0.0738 memory: 17350 grad_norm: 5.4101 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8623 loss: 1.8623 2022/07/23 05:47:59 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 05:48:02 - mmengine - INFO - Epoch(train) [40][1480/3757] lr: 1.0000e-02 eta: 1 day, 17:58:47 time: 0.7032 data_time: 0.0743 memory: 17350 grad_norm: 5.5131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4906 loss: 1.4906 2022/07/23 05:48:15 - mmengine - INFO - Epoch(train) [40][1500/3757] lr: 1.0000e-02 eta: 1 day, 17:58:34 time: 0.6642 data_time: 0.1578 memory: 17350 grad_norm: 5.9506 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7619 loss: 1.7619 2022/07/23 05:48:28 - mmengine - INFO - Epoch(train) [40][1520/3757] lr: 1.0000e-02 eta: 1 day, 17:58:21 time: 0.6767 data_time: 0.0717 memory: 17350 grad_norm: 5.6146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7654 loss: 1.7654 2022/07/23 05:48:40 - mmengine - INFO - Epoch(train) [40][1540/3757] lr: 1.0000e-02 eta: 1 day, 17:58:06 time: 0.5963 data_time: 0.0355 memory: 17350 grad_norm: 5.5811 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6369 loss: 1.6369 2022/07/23 05:48:55 - mmengine - INFO - Epoch(train) [40][1560/3757] lr: 1.0000e-02 eta: 1 day, 17:57:54 time: 0.7213 data_time: 0.0349 memory: 17350 grad_norm: 5.5889 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4841 loss: 1.4841 2022/07/23 05:49:07 - mmengine - INFO - Epoch(train) [40][1580/3757] lr: 1.0000e-02 eta: 1 day, 17:57:40 time: 0.6302 data_time: 0.0972 memory: 17350 grad_norm: 5.7119 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7476 loss: 1.7476 2022/07/23 05:49:20 - mmengine - INFO - Epoch(train) [40][1600/3757] lr: 1.0000e-02 eta: 1 day, 17:57:25 time: 0.6290 data_time: 0.1154 memory: 17350 grad_norm: 5.7206 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8613 loss: 1.8613 2022/07/23 05:49:34 - mmengine - INFO - Epoch(train) [40][1620/3757] lr: 1.0000e-02 eta: 1 day, 17:57:13 time: 0.6970 data_time: 0.2629 memory: 17350 grad_norm: 5.5716 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8493 loss: 1.8493 2022/07/23 05:49:47 - mmengine - INFO - Epoch(train) [40][1640/3757] lr: 1.0000e-02 eta: 1 day, 17:57:00 time: 0.6679 data_time: 0.1016 memory: 17350 grad_norm: 5.5562 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0035 loss: 2.0035 2022/07/23 05:50:01 - mmengine - INFO - Epoch(train) [40][1660/3757] lr: 1.0000e-02 eta: 1 day, 17:56:47 time: 0.6845 data_time: 0.0266 memory: 17350 grad_norm: 5.6624 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7021 loss: 1.7021 2022/07/23 05:50:14 - mmengine - INFO - Epoch(train) [40][1680/3757] lr: 1.0000e-02 eta: 1 day, 17:56:34 time: 0.6621 data_time: 0.0252 memory: 17350 grad_norm: 5.5546 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4423 loss: 1.4423 2022/07/23 05:50:29 - mmengine - INFO - Epoch(train) [40][1700/3757] lr: 1.0000e-02 eta: 1 day, 17:56:22 time: 0.7166 data_time: 0.0262 memory: 17350 grad_norm: 5.5465 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7371 loss: 1.7371 2022/07/23 05:50:41 - mmengine - INFO - Epoch(train) [40][1720/3757] lr: 1.0000e-02 eta: 1 day, 17:56:07 time: 0.6000 data_time: 0.0227 memory: 17350 grad_norm: 5.8984 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4055 loss: 1.4055 2022/07/23 05:50:54 - mmengine - INFO - Epoch(train) [40][1740/3757] lr: 1.0000e-02 eta: 1 day, 17:55:54 time: 0.6573 data_time: 0.0538 memory: 17350 grad_norm: 5.7145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7867 loss: 1.7867 2022/07/23 05:51:08 - mmengine - INFO - Epoch(train) [40][1760/3757] lr: 1.0000e-02 eta: 1 day, 17:55:42 time: 0.7150 data_time: 0.0226 memory: 17350 grad_norm: 5.5049 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6645 loss: 1.6645 2022/07/23 05:51:20 - mmengine - INFO - Epoch(train) [40][1780/3757] lr: 1.0000e-02 eta: 1 day, 17:55:26 time: 0.5901 data_time: 0.0323 memory: 17350 grad_norm: 5.3945 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9577 loss: 1.9577 2022/07/23 05:51:34 - mmengine - INFO - Epoch(train) [40][1800/3757] lr: 1.0000e-02 eta: 1 day, 17:55:14 time: 0.7041 data_time: 0.0778 memory: 17350 grad_norm: 5.6000 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9060 loss: 1.9060 2022/07/23 05:51:47 - mmengine - INFO - Epoch(train) [40][1820/3757] lr: 1.0000e-02 eta: 1 day, 17:55:01 time: 0.6653 data_time: 0.0264 memory: 17350 grad_norm: 5.6621 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6482 loss: 1.6482 2022/07/23 05:52:01 - mmengine - INFO - Epoch(train) [40][1840/3757] lr: 1.0000e-02 eta: 1 day, 17:54:49 time: 0.7058 data_time: 0.0218 memory: 17350 grad_norm: 5.5833 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7611 loss: 1.7611 2022/07/23 05:52:14 - mmengine - INFO - Epoch(train) [40][1860/3757] lr: 1.0000e-02 eta: 1 day, 17:54:35 time: 0.6216 data_time: 0.0267 memory: 17350 grad_norm: 5.6366 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9248 loss: 1.9248 2022/07/23 05:52:28 - mmengine - INFO - Epoch(train) [40][1880/3757] lr: 1.0000e-02 eta: 1 day, 17:54:23 time: 0.7253 data_time: 0.0231 memory: 17350 grad_norm: 5.8337 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7016 loss: 1.7016 2022/07/23 05:52:40 - mmengine - INFO - Epoch(train) [40][1900/3757] lr: 1.0000e-02 eta: 1 day, 17:54:07 time: 0.5831 data_time: 0.0248 memory: 17350 grad_norm: 5.4544 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3243 loss: 1.3243 2022/07/23 05:52:55 - mmengine - INFO - Epoch(train) [40][1920/3757] lr: 1.0000e-02 eta: 1 day, 17:53:56 time: 0.7243 data_time: 0.0908 memory: 17350 grad_norm: 5.7002 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7913 loss: 1.7913 2022/07/23 05:53:08 - mmengine - INFO - Epoch(train) [40][1940/3757] lr: 1.0000e-02 eta: 1 day, 17:53:43 time: 0.6557 data_time: 0.1064 memory: 17350 grad_norm: 5.7477 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1191 loss: 2.1191 2022/07/23 05:53:21 - mmengine - INFO - Epoch(train) [40][1960/3757] lr: 1.0000e-02 eta: 1 day, 17:53:29 time: 0.6528 data_time: 0.1065 memory: 17350 grad_norm: 5.6271 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9432 loss: 1.9432 2022/07/23 05:53:34 - mmengine - INFO - Epoch(train) [40][1980/3757] lr: 1.0000e-02 eta: 1 day, 17:53:15 time: 0.6444 data_time: 0.0683 memory: 17350 grad_norm: 5.6054 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9154 loss: 1.9154 2022/07/23 05:53:48 - mmengine - INFO - Epoch(train) [40][2000/3757] lr: 1.0000e-02 eta: 1 day, 17:53:04 time: 0.7253 data_time: 0.0225 memory: 17350 grad_norm: 5.3796 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4990 loss: 1.4990 2022/07/23 05:54:01 - mmengine - INFO - Epoch(train) [40][2020/3757] lr: 1.0000e-02 eta: 1 day, 17:52:49 time: 0.6241 data_time: 0.0903 memory: 17350 grad_norm: 5.6485 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8948 loss: 1.8948 2022/07/23 05:54:14 - mmengine - INFO - Epoch(train) [40][2040/3757] lr: 1.0000e-02 eta: 1 day, 17:52:36 time: 0.6696 data_time: 0.0210 memory: 17350 grad_norm: 5.5503 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0201 loss: 2.0201 2022/07/23 05:54:28 - mmengine - INFO - Epoch(train) [40][2060/3757] lr: 1.0000e-02 eta: 1 day, 17:52:23 time: 0.6791 data_time: 0.0255 memory: 17350 grad_norm: 5.5390 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7590 loss: 1.7590 2022/07/23 05:54:41 - mmengine - INFO - Epoch(train) [40][2080/3757] lr: 1.0000e-02 eta: 1 day, 17:52:10 time: 0.6621 data_time: 0.0222 memory: 17350 grad_norm: 5.2890 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5111 loss: 1.5111 2022/07/23 05:54:54 - mmengine - INFO - Epoch(train) [40][2100/3757] lr: 1.0000e-02 eta: 1 day, 17:51:56 time: 0.6475 data_time: 0.0224 memory: 17350 grad_norm: 5.3469 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4996 loss: 1.4996 2022/07/23 05:55:07 - mmengine - INFO - Epoch(train) [40][2120/3757] lr: 1.0000e-02 eta: 1 day, 17:51:43 time: 0.6811 data_time: 0.0222 memory: 17350 grad_norm: 5.6470 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9193 loss: 1.9193 2022/07/23 05:55:21 - mmengine - INFO - Epoch(train) [40][2140/3757] lr: 1.0000e-02 eta: 1 day, 17:51:31 time: 0.6760 data_time: 0.0228 memory: 17350 grad_norm: 5.8814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7320 loss: 1.7320 2022/07/23 05:55:35 - mmengine - INFO - Epoch(train) [40][2160/3757] lr: 1.0000e-02 eta: 1 day, 17:51:18 time: 0.6899 data_time: 0.0220 memory: 17350 grad_norm: 5.3595 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6342 loss: 1.6342 2022/07/23 05:55:48 - mmengine - INFO - Epoch(train) [40][2180/3757] lr: 1.0000e-02 eta: 1 day, 17:51:05 time: 0.6808 data_time: 0.0283 memory: 17350 grad_norm: 5.5586 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9178 loss: 1.9178 2022/07/23 05:56:01 - mmengine - INFO - Epoch(train) [40][2200/3757] lr: 1.0000e-02 eta: 1 day, 17:50:52 time: 0.6503 data_time: 0.0225 memory: 17350 grad_norm: 5.5906 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0544 loss: 2.0544 2022/07/23 05:56:14 - mmengine - INFO - Epoch(train) [40][2220/3757] lr: 1.0000e-02 eta: 1 day, 17:50:38 time: 0.6522 data_time: 0.0253 memory: 17350 grad_norm: 5.7152 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0225 loss: 2.0225 2022/07/23 05:56:27 - mmengine - INFO - Epoch(train) [40][2240/3757] lr: 1.0000e-02 eta: 1 day, 17:50:24 time: 0.6411 data_time: 0.0236 memory: 17350 grad_norm: 5.7166 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1246 loss: 2.1246 2022/07/23 05:56:40 - mmengine - INFO - Epoch(train) [40][2260/3757] lr: 1.0000e-02 eta: 1 day, 17:50:10 time: 0.6453 data_time: 0.0210 memory: 17350 grad_norm: 5.6426 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5696 loss: 1.5696 2022/07/23 05:56:53 - mmengine - INFO - Epoch(train) [40][2280/3757] lr: 1.0000e-02 eta: 1 day, 17:49:57 time: 0.6597 data_time: 0.0219 memory: 17350 grad_norm: 5.5797 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7861 loss: 1.7861 2022/07/23 05:57:06 - mmengine - INFO - Epoch(train) [40][2300/3757] lr: 1.0000e-02 eta: 1 day, 17:49:42 time: 0.6191 data_time: 0.0242 memory: 17350 grad_norm: 5.5775 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8251 loss: 1.8251 2022/07/23 05:57:21 - mmengine - INFO - Epoch(train) [40][2320/3757] lr: 1.0000e-02 eta: 1 day, 17:49:31 time: 0.7390 data_time: 0.0241 memory: 17350 grad_norm: 5.5780 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0163 loss: 2.0163 2022/07/23 05:57:33 - mmengine - INFO - Epoch(train) [40][2340/3757] lr: 1.0000e-02 eta: 1 day, 17:49:16 time: 0.6021 data_time: 0.0250 memory: 17350 grad_norm: 5.5351 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8405 loss: 1.8405 2022/07/23 05:57:47 - mmengine - INFO - Epoch(train) [40][2360/3757] lr: 1.0000e-02 eta: 1 day, 17:49:04 time: 0.6966 data_time: 0.0244 memory: 17350 grad_norm: 5.7132 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8062 loss: 1.8062 2022/07/23 05:58:00 - mmengine - INFO - Epoch(train) [40][2380/3757] lr: 1.0000e-02 eta: 1 day, 17:48:50 time: 0.6567 data_time: 0.0223 memory: 17350 grad_norm: 5.5802 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9106 loss: 1.9106 2022/07/23 05:58:14 - mmengine - INFO - Epoch(train) [40][2400/3757] lr: 1.0000e-02 eta: 1 day, 17:48:39 time: 0.7190 data_time: 0.0237 memory: 17350 grad_norm: 5.6045 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9987 loss: 1.9987 2022/07/23 05:58:26 - mmengine - INFO - Epoch(train) [40][2420/3757] lr: 1.0000e-02 eta: 1 day, 17:48:24 time: 0.6135 data_time: 0.0229 memory: 17350 grad_norm: 5.5765 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7568 loss: 1.7568 2022/07/23 05:58:40 - mmengine - INFO - Epoch(train) [40][2440/3757] lr: 1.0000e-02 eta: 1 day, 17:48:11 time: 0.6761 data_time: 0.0221 memory: 17350 grad_norm: 5.7022 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7526 loss: 1.7526 2022/07/23 05:58:53 - mmengine - INFO - Epoch(train) [40][2460/3757] lr: 1.0000e-02 eta: 1 day, 17:47:57 time: 0.6448 data_time: 0.0579 memory: 17350 grad_norm: 5.4766 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7282 loss: 1.7282 2022/07/23 05:59:05 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 05:59:06 - mmengine - INFO - Epoch(train) [40][2480/3757] lr: 1.0000e-02 eta: 1 day, 17:47:43 time: 0.6492 data_time: 0.0493 memory: 17350 grad_norm: 5.5947 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8192 loss: 1.8192 2022/07/23 05:59:20 - mmengine - INFO - Epoch(train) [40][2500/3757] lr: 1.0000e-02 eta: 1 day, 17:47:31 time: 0.6842 data_time: 0.0432 memory: 17350 grad_norm: 5.5989 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7124 loss: 1.7124 2022/07/23 05:59:33 - mmengine - INFO - Epoch(train) [40][2520/3757] lr: 1.0000e-02 eta: 1 day, 17:47:18 time: 0.6872 data_time: 0.0256 memory: 17350 grad_norm: 5.6289 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5399 loss: 1.5399 2022/07/23 05:59:46 - mmengine - INFO - Epoch(train) [40][2540/3757] lr: 1.0000e-02 eta: 1 day, 17:47:04 time: 0.6413 data_time: 0.0889 memory: 17350 grad_norm: 5.5527 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6590 loss: 1.6590 2022/07/23 05:59:59 - mmengine - INFO - Epoch(train) [40][2560/3757] lr: 1.0000e-02 eta: 1 day, 17:46:51 time: 0.6684 data_time: 0.1324 memory: 17350 grad_norm: 5.4493 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7838 loss: 1.7838 2022/07/23 06:00:13 - mmengine - INFO - Epoch(train) [40][2580/3757] lr: 1.0000e-02 eta: 1 day, 17:46:39 time: 0.6931 data_time: 0.1004 memory: 17350 grad_norm: 5.4397 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9005 loss: 1.9005 2022/07/23 06:00:27 - mmengine - INFO - Epoch(train) [40][2600/3757] lr: 1.0000e-02 eta: 1 day, 17:46:26 time: 0.6877 data_time: 0.1277 memory: 17350 grad_norm: 5.5708 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8016 loss: 1.8016 2022/07/23 06:00:40 - mmengine - INFO - Epoch(train) [40][2620/3757] lr: 1.0000e-02 eta: 1 day, 17:46:13 time: 0.6548 data_time: 0.2248 memory: 17350 grad_norm: 5.5642 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6804 loss: 1.6804 2022/07/23 06:00:53 - mmengine - INFO - Epoch(train) [40][2640/3757] lr: 1.0000e-02 eta: 1 day, 17:45:59 time: 0.6501 data_time: 0.2409 memory: 17350 grad_norm: 5.6060 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7479 loss: 1.7479 2022/07/23 06:01:07 - mmengine - INFO - Epoch(train) [40][2660/3757] lr: 1.0000e-02 eta: 1 day, 17:45:46 time: 0.6890 data_time: 0.2625 memory: 17350 grad_norm: 5.5160 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5904 loss: 1.5904 2022/07/23 06:01:19 - mmengine - INFO - Epoch(train) [40][2680/3757] lr: 1.0000e-02 eta: 1 day, 17:45:32 time: 0.6104 data_time: 0.2307 memory: 17350 grad_norm: 5.6811 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0186 loss: 2.0186 2022/07/23 06:01:34 - mmengine - INFO - Epoch(train) [40][2700/3757] lr: 1.0000e-02 eta: 1 day, 17:45:20 time: 0.7230 data_time: 0.3075 memory: 17350 grad_norm: 5.7891 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0682 loss: 2.0682 2022/07/23 06:01:47 - mmengine - INFO - Epoch(train) [40][2720/3757] lr: 1.0000e-02 eta: 1 day, 17:45:07 time: 0.6775 data_time: 0.1232 memory: 17350 grad_norm: 5.5428 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6674 loss: 1.6674 2022/07/23 06:02:00 - mmengine - INFO - Epoch(train) [40][2740/3757] lr: 1.0000e-02 eta: 1 day, 17:44:53 time: 0.6293 data_time: 0.1118 memory: 17350 grad_norm: 5.7079 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7456 loss: 1.7456 2022/07/23 06:02:13 - mmengine - INFO - Epoch(train) [40][2760/3757] lr: 1.0000e-02 eta: 1 day, 17:44:40 time: 0.6792 data_time: 0.1105 memory: 17350 grad_norm: 5.7119 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0024 loss: 2.0024 2022/07/23 06:02:27 - mmengine - INFO - Epoch(train) [40][2780/3757] lr: 1.0000e-02 eta: 1 day, 17:44:28 time: 0.6961 data_time: 0.0841 memory: 17350 grad_norm: 5.5238 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7009 loss: 1.7009 2022/07/23 06:02:41 - mmengine - INFO - Epoch(train) [40][2800/3757] lr: 1.0000e-02 eta: 1 day, 17:44:15 time: 0.6914 data_time: 0.0242 memory: 17350 grad_norm: 5.7797 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0006 loss: 2.0006 2022/07/23 06:02:54 - mmengine - INFO - Epoch(train) [40][2820/3757] lr: 1.0000e-02 eta: 1 day, 17:44:01 time: 0.6249 data_time: 0.0224 memory: 17350 grad_norm: 5.3282 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9323 loss: 1.9323 2022/07/23 06:03:08 - mmengine - INFO - Epoch(train) [40][2840/3757] lr: 1.0000e-02 eta: 1 day, 17:43:48 time: 0.6906 data_time: 0.0227 memory: 17350 grad_norm: 5.6666 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9984 loss: 1.9984 2022/07/23 06:03:20 - mmengine - INFO - Epoch(train) [40][2860/3757] lr: 1.0000e-02 eta: 1 day, 17:43:34 time: 0.6259 data_time: 0.0417 memory: 17350 grad_norm: 5.4485 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6255 loss: 1.6255 2022/07/23 06:03:34 - mmengine - INFO - Epoch(train) [40][2880/3757] lr: 1.0000e-02 eta: 1 day, 17:43:22 time: 0.7042 data_time: 0.0538 memory: 17350 grad_norm: 5.6165 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7387 loss: 1.7387 2022/07/23 06:03:47 - mmengine - INFO - Epoch(train) [40][2900/3757] lr: 1.0000e-02 eta: 1 day, 17:43:08 time: 0.6291 data_time: 0.0897 memory: 17350 grad_norm: 5.4322 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8627 loss: 1.8627 2022/07/23 06:04:01 - mmengine - INFO - Epoch(train) [40][2920/3757] lr: 1.0000e-02 eta: 1 day, 17:42:55 time: 0.6890 data_time: 0.0912 memory: 17350 grad_norm: 5.6813 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7453 loss: 1.7453 2022/07/23 06:04:13 - mmengine - INFO - Epoch(train) [40][2940/3757] lr: 1.0000e-02 eta: 1 day, 17:42:41 time: 0.6356 data_time: 0.0857 memory: 17350 grad_norm: 5.7364 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8646 loss: 1.8646 2022/07/23 06:04:28 - mmengine - INFO - Epoch(train) [40][2960/3757] lr: 1.0000e-02 eta: 1 day, 17:42:30 time: 0.7242 data_time: 0.0495 memory: 17350 grad_norm: 5.6746 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7903 loss: 1.7903 2022/07/23 06:04:40 - mmengine - INFO - Epoch(train) [40][2980/3757] lr: 1.0000e-02 eta: 1 day, 17:42:15 time: 0.6195 data_time: 0.1544 memory: 17350 grad_norm: 5.6670 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5658 loss: 1.5658 2022/07/23 06:04:54 - mmengine - INFO - Epoch(train) [40][3000/3757] lr: 1.0000e-02 eta: 1 day, 17:42:03 time: 0.6907 data_time: 0.1659 memory: 17350 grad_norm: 5.6384 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7025 loss: 1.7025 2022/07/23 06:05:08 - mmengine - INFO - Epoch(train) [40][3020/3757] lr: 1.0000e-02 eta: 1 day, 17:41:51 time: 0.7191 data_time: 0.2733 memory: 17350 grad_norm: 5.5771 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8533 loss: 1.8533 2022/07/23 06:05:21 - mmengine - INFO - Epoch(train) [40][3040/3757] lr: 1.0000e-02 eta: 1 day, 17:41:36 time: 0.6188 data_time: 0.2234 memory: 17350 grad_norm: 5.8739 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8751 loss: 1.8751 2022/07/23 06:05:35 - mmengine - INFO - Epoch(train) [40][3060/3757] lr: 1.0000e-02 eta: 1 day, 17:41:24 time: 0.6897 data_time: 0.2727 memory: 17350 grad_norm: 5.5276 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6244 loss: 1.6244 2022/07/23 06:05:48 - mmengine - INFO - Epoch(train) [40][3080/3757] lr: 1.0000e-02 eta: 1 day, 17:41:11 time: 0.6847 data_time: 0.1646 memory: 17350 grad_norm: 5.7644 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6852 loss: 1.6852 2022/07/23 06:06:01 - mmengine - INFO - Epoch(train) [40][3100/3757] lr: 1.0000e-02 eta: 1 day, 17:40:57 time: 0.6497 data_time: 0.1474 memory: 17350 grad_norm: 5.5737 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6724 loss: 1.6724 2022/07/23 06:06:15 - mmengine - INFO - Epoch(train) [40][3120/3757] lr: 1.0000e-02 eta: 1 day, 17:40:44 time: 0.6739 data_time: 0.1511 memory: 17350 grad_norm: 5.6269 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8661 loss: 1.8661 2022/07/23 06:06:29 - mmengine - INFO - Epoch(train) [40][3140/3757] lr: 1.0000e-02 eta: 1 day, 17:40:32 time: 0.6911 data_time: 0.2985 memory: 17350 grad_norm: 5.5185 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5530 loss: 1.5530 2022/07/23 06:06:40 - mmengine - INFO - Epoch(train) [40][3160/3757] lr: 1.0000e-02 eta: 1 day, 17:40:17 time: 0.5908 data_time: 0.2423 memory: 17350 grad_norm: 5.5541 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6086 loss: 1.6086 2022/07/23 06:06:54 - mmengine - INFO - Epoch(train) [40][3180/3757] lr: 1.0000e-02 eta: 1 day, 17:40:03 time: 0.6678 data_time: 0.3234 memory: 17350 grad_norm: 5.4377 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4819 loss: 1.4819 2022/07/23 06:07:06 - mmengine - INFO - Epoch(train) [40][3200/3757] lr: 1.0000e-02 eta: 1 day, 17:39:48 time: 0.5995 data_time: 0.2389 memory: 17350 grad_norm: 5.6740 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.9667 loss: 1.9667 2022/07/23 06:07:19 - mmengine - INFO - Epoch(train) [40][3220/3757] lr: 1.0000e-02 eta: 1 day, 17:39:35 time: 0.6617 data_time: 0.2833 memory: 17350 grad_norm: 5.4504 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6914 loss: 1.6914 2022/07/23 06:07:32 - mmengine - INFO - Epoch(train) [40][3240/3757] lr: 1.0000e-02 eta: 1 day, 17:39:22 time: 0.6668 data_time: 0.2207 memory: 17350 grad_norm: 5.4533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0328 loss: 2.0328 2022/07/23 06:07:46 - mmengine - INFO - Epoch(train) [40][3260/3757] lr: 1.0000e-02 eta: 1 day, 17:39:10 time: 0.7042 data_time: 0.3340 memory: 17350 grad_norm: 5.4362 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6629 loss: 1.6629 2022/07/23 06:08:00 - mmengine - INFO - Epoch(train) [40][3280/3757] lr: 1.0000e-02 eta: 1 day, 17:38:56 time: 0.6541 data_time: 0.2031 memory: 17350 grad_norm: 5.4166 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9225 loss: 1.9225 2022/07/23 06:08:12 - mmengine - INFO - Epoch(train) [40][3300/3757] lr: 1.0000e-02 eta: 1 day, 17:38:42 time: 0.6398 data_time: 0.2068 memory: 17350 grad_norm: 5.5328 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7470 loss: 1.7470 2022/07/23 06:08:27 - mmengine - INFO - Epoch(train) [40][3320/3757] lr: 1.0000e-02 eta: 1 day, 17:38:30 time: 0.7117 data_time: 0.0476 memory: 17350 grad_norm: 5.5631 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5419 loss: 1.5419 2022/07/23 06:08:39 - mmengine - INFO - Epoch(train) [40][3340/3757] lr: 1.0000e-02 eta: 1 day, 17:38:16 time: 0.6218 data_time: 0.0376 memory: 17350 grad_norm: 5.6585 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5671 loss: 1.5671 2022/07/23 06:08:53 - mmengine - INFO - Epoch(train) [40][3360/3757] lr: 1.0000e-02 eta: 1 day, 17:38:03 time: 0.6928 data_time: 0.0481 memory: 17350 grad_norm: 5.4840 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0746 loss: 2.0746 2022/07/23 06:09:05 - mmengine - INFO - Epoch(train) [40][3380/3757] lr: 1.0000e-02 eta: 1 day, 17:37:48 time: 0.6126 data_time: 0.1125 memory: 17350 grad_norm: 5.4937 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9776 loss: 1.9776 2022/07/23 06:09:19 - mmengine - INFO - Epoch(train) [40][3400/3757] lr: 1.0000e-02 eta: 1 day, 17:37:36 time: 0.6846 data_time: 0.1002 memory: 17350 grad_norm: 5.6385 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9802 loss: 1.9802 2022/07/23 06:09:32 - mmengine - INFO - Epoch(train) [40][3420/3757] lr: 1.0000e-02 eta: 1 day, 17:37:23 time: 0.6635 data_time: 0.2449 memory: 17350 grad_norm: 5.7840 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0096 loss: 2.0096 2022/07/23 06:09:46 - mmengine - INFO - Epoch(train) [40][3440/3757] lr: 1.0000e-02 eta: 1 day, 17:37:09 time: 0.6663 data_time: 0.1768 memory: 17350 grad_norm: 5.5037 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8866 loss: 1.8866 2022/07/23 06:09:59 - mmengine - INFO - Epoch(train) [40][3460/3757] lr: 1.0000e-02 eta: 1 day, 17:36:56 time: 0.6550 data_time: 0.1646 memory: 17350 grad_norm: 5.7081 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8036 loss: 1.8036 2022/07/23 06:10:10 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 06:10:13 - mmengine - INFO - Epoch(train) [40][3480/3757] lr: 1.0000e-02 eta: 1 day, 17:36:45 time: 0.7332 data_time: 0.0880 memory: 17350 grad_norm: 5.6100 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8301 loss: 1.8301 2022/07/23 06:10:26 - mmengine - INFO - Epoch(train) [40][3500/3757] lr: 1.0000e-02 eta: 1 day, 17:36:30 time: 0.6195 data_time: 0.0484 memory: 17350 grad_norm: 5.4401 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8483 loss: 1.8483 2022/07/23 06:10:40 - mmengine - INFO - Epoch(train) [40][3520/3757] lr: 1.0000e-02 eta: 1 day, 17:36:18 time: 0.6949 data_time: 0.0253 memory: 17350 grad_norm: 5.4997 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8227 loss: 1.8227 2022/07/23 06:10:53 - mmengine - INFO - Epoch(train) [40][3540/3757] lr: 1.0000e-02 eta: 1 day, 17:36:05 time: 0.6762 data_time: 0.2118 memory: 17350 grad_norm: 5.7566 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7872 loss: 1.7872 2022/07/23 06:11:06 - mmengine - INFO - Epoch(train) [40][3560/3757] lr: 1.0000e-02 eta: 1 day, 17:35:51 time: 0.6331 data_time: 0.1646 memory: 17350 grad_norm: 5.7323 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6066 loss: 1.6066 2022/07/23 06:11:20 - mmengine - INFO - Epoch(train) [40][3580/3757] lr: 1.0000e-02 eta: 1 day, 17:35:38 time: 0.6923 data_time: 0.2132 memory: 17350 grad_norm: 5.2132 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7626 loss: 1.7626 2022/07/23 06:11:33 - mmengine - INFO - Epoch(train) [40][3600/3757] lr: 1.0000e-02 eta: 1 day, 17:35:25 time: 0.6610 data_time: 0.1731 memory: 17350 grad_norm: 5.3515 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9195 loss: 1.9195 2022/07/23 06:11:47 - mmengine - INFO - Epoch(train) [40][3620/3757] lr: 1.0000e-02 eta: 1 day, 17:35:13 time: 0.6972 data_time: 0.2325 memory: 17350 grad_norm: 5.5361 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7497 loss: 1.7497 2022/07/23 06:11:59 - mmengine - INFO - Epoch(train) [40][3640/3757] lr: 1.0000e-02 eta: 1 day, 17:34:57 time: 0.6050 data_time: 0.1237 memory: 17350 grad_norm: 5.6583 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9218 loss: 1.9218 2022/07/23 06:12:13 - mmengine - INFO - Epoch(train) [40][3660/3757] lr: 1.0000e-02 eta: 1 day, 17:34:45 time: 0.7013 data_time: 0.2465 memory: 17350 grad_norm: 5.6757 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0091 loss: 2.0091 2022/07/23 06:12:25 - mmengine - INFO - Epoch(train) [40][3680/3757] lr: 1.0000e-02 eta: 1 day, 17:34:30 time: 0.6107 data_time: 0.2394 memory: 17350 grad_norm: 5.4859 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8197 loss: 1.8197 2022/07/23 06:12:40 - mmengine - INFO - Epoch(train) [40][3700/3757] lr: 1.0000e-02 eta: 1 day, 17:34:20 time: 0.7520 data_time: 0.4114 memory: 17350 grad_norm: 5.3127 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8438 loss: 1.8438 2022/07/23 06:12:52 - mmengine - INFO - Epoch(train) [40][3720/3757] lr: 1.0000e-02 eta: 1 day, 17:34:05 time: 0.6011 data_time: 0.2666 memory: 17350 grad_norm: 5.4229 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9747 loss: 1.9747 2022/07/23 06:13:07 - mmengine - INFO - Epoch(train) [40][3740/3757] lr: 1.0000e-02 eta: 1 day, 17:33:53 time: 0.7209 data_time: 0.3867 memory: 17350 grad_norm: 5.5610 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0170 loss: 2.0170 2022/07/23 06:13:14 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 06:13:14 - mmengine - INFO - Epoch(train) [40][3757/3757] lr: 1.0000e-02 eta: 1 day, 17:33:53 time: 0.4136 data_time: 0.0833 memory: 17350 grad_norm: 5.6435 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.6224 loss: 1.6224 2022/07/23 06:13:14 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/07/23 06:13:37 - mmengine - INFO - Epoch(val) [40][20/310] eta: 0:04:02 time: 0.8371 data_time: 0.7186 memory: 3406 2022/07/23 06:13:48 - mmengine - INFO - Epoch(val) [40][40/310] eta: 0:02:25 time: 0.5406 data_time: 0.4283 memory: 3406 2022/07/23 06:14:03 - mmengine - INFO - Epoch(val) [40][60/310] eta: 0:03:07 time: 0.7482 data_time: 0.6343 memory: 3406 2022/07/23 06:14:15 - mmengine - INFO - Epoch(val) [40][80/310] eta: 0:02:25 time: 0.6321 data_time: 0.5195 memory: 3406 2022/07/23 06:14:29 - mmengine - INFO - Epoch(val) [40][100/310] eta: 0:02:25 time: 0.6949 data_time: 0.5814 memory: 3406 2022/07/23 06:14:42 - mmengine - INFO - Epoch(val) [40][120/310] eta: 0:01:55 time: 0.6076 data_time: 0.4951 memory: 3406 2022/07/23 06:14:56 - mmengine - INFO - Epoch(val) [40][140/310] eta: 0:02:03 time: 0.7288 data_time: 0.6137 memory: 3406 2022/07/23 06:15:09 - mmengine - INFO - Epoch(val) [40][160/310] eta: 0:01:34 time: 0.6270 data_time: 0.5125 memory: 3406 2022/07/23 06:15:22 - mmengine - INFO - Epoch(val) [40][180/310] eta: 0:01:30 time: 0.6926 data_time: 0.5798 memory: 3406 2022/07/23 06:15:35 - mmengine - INFO - Epoch(val) [40][200/310] eta: 0:01:06 time: 0.6054 data_time: 0.4949 memory: 3406 2022/07/23 06:15:49 - mmengine - INFO - Epoch(val) [40][220/310] eta: 0:01:06 time: 0.7367 data_time: 0.6233 memory: 3406 2022/07/23 06:16:00 - mmengine - INFO - Epoch(val) [40][240/310] eta: 0:00:37 time: 0.5342 data_time: 0.4222 memory: 3406 2022/07/23 06:16:16 - mmengine - INFO - Epoch(val) [40][260/310] eta: 0:00:38 time: 0.7788 data_time: 0.6630 memory: 3406 2022/07/23 06:16:27 - mmengine - INFO - Epoch(val) [40][280/310] eta: 0:00:16 time: 0.5512 data_time: 0.4379 memory: 3406 2022/07/23 06:16:39 - mmengine - INFO - Epoch(val) [40][300/310] eta: 0:00:05 time: 0.5961 data_time: 0.4842 memory: 3406 2022/07/23 06:16:41 - mmengine - INFO - Epoch(val) [40][310/310] acc/top1: 0.5894 acc/top5: 0.8232 acc/mean1: 0.5894 2022/07/23 06:16:59 - mmengine - INFO - Epoch(train) [41][20/3757] lr: 1.0000e-03 eta: 1 day, 17:33:18 time: 0.8623 data_time: 0.4902 memory: 17350 grad_norm: 5.6170 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5162 loss: 1.5162 2022/07/23 06:17:11 - mmengine - INFO - Epoch(train) [41][40/3757] lr: 1.0000e-03 eta: 1 day, 17:33:02 time: 0.6003 data_time: 0.2048 memory: 17350 grad_norm: 5.2166 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7416 loss: 1.7416 2022/07/23 06:17:26 - mmengine - INFO - Epoch(train) [41][60/3757] lr: 1.0000e-03 eta: 1 day, 17:32:52 time: 0.7415 data_time: 0.1138 memory: 17350 grad_norm: 5.4160 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5200 loss: 1.5200 2022/07/23 06:17:39 - mmengine - INFO - Epoch(train) [41][80/3757] lr: 1.0000e-03 eta: 1 day, 17:32:38 time: 0.6471 data_time: 0.0393 memory: 17350 grad_norm: 5.4478 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5183 loss: 1.5183 2022/07/23 06:17:53 - mmengine - INFO - Epoch(train) [41][100/3757] lr: 1.0000e-03 eta: 1 day, 17:32:26 time: 0.7262 data_time: 0.0221 memory: 17350 grad_norm: 5.2676 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7882 loss: 1.7882 2022/07/23 06:18:05 - mmengine - INFO - Epoch(train) [41][120/3757] lr: 1.0000e-03 eta: 1 day, 17:32:11 time: 0.6033 data_time: 0.0215 memory: 17350 grad_norm: 5.3445 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7031 loss: 1.7031 2022/07/23 06:18:20 - mmengine - INFO - Epoch(train) [41][140/3757] lr: 1.0000e-03 eta: 1 day, 17:32:00 time: 0.7408 data_time: 0.0278 memory: 17350 grad_norm: 5.2566 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5707 loss: 1.5707 2022/07/23 06:18:32 - mmengine - INFO - Epoch(train) [41][160/3757] lr: 1.0000e-03 eta: 1 day, 17:31:45 time: 0.5966 data_time: 0.0222 memory: 17350 grad_norm: 5.2363 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5909 loss: 1.5909 2022/07/23 06:18:47 - mmengine - INFO - Epoch(train) [41][180/3757] lr: 1.0000e-03 eta: 1 day, 17:31:34 time: 0.7275 data_time: 0.0227 memory: 17350 grad_norm: 5.1378 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5833 loss: 1.5833 2022/07/23 06:18:59 - mmengine - INFO - Epoch(train) [41][200/3757] lr: 1.0000e-03 eta: 1 day, 17:31:19 time: 0.6341 data_time: 0.0175 memory: 17350 grad_norm: 5.2534 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3472 loss: 1.3472 2022/07/23 06:19:14 - mmengine - INFO - Epoch(train) [41][220/3757] lr: 1.0000e-03 eta: 1 day, 17:31:08 time: 0.7169 data_time: 0.0222 memory: 17350 grad_norm: 5.0162 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3951 loss: 1.3951 2022/07/23 06:19:26 - mmengine - INFO - Epoch(train) [41][240/3757] lr: 1.0000e-03 eta: 1 day, 17:30:52 time: 0.5850 data_time: 0.0222 memory: 17350 grad_norm: 5.1947 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5980 loss: 1.5980 2022/07/23 06:19:40 - mmengine - INFO - Epoch(train) [41][260/3757] lr: 1.0000e-03 eta: 1 day, 17:30:41 time: 0.7322 data_time: 0.0243 memory: 17350 grad_norm: 5.3012 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6244 loss: 1.6244 2022/07/23 06:19:53 - mmengine - INFO - Epoch(train) [41][280/3757] lr: 1.0000e-03 eta: 1 day, 17:30:27 time: 0.6305 data_time: 0.0223 memory: 17350 grad_norm: 5.2538 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5868 loss: 1.5868 2022/07/23 06:20:08 - mmengine - INFO - Epoch(train) [41][300/3757] lr: 1.0000e-03 eta: 1 day, 17:30:16 time: 0.7509 data_time: 0.0234 memory: 17350 grad_norm: 5.1759 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5556 loss: 1.5556 2022/07/23 06:20:20 - mmengine - INFO - Epoch(train) [41][320/3757] lr: 1.0000e-03 eta: 1 day, 17:30:02 time: 0.6240 data_time: 0.0220 memory: 17350 grad_norm: 5.2626 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5853 loss: 1.5853 2022/07/23 06:20:35 - mmengine - INFO - Epoch(train) [41][340/3757] lr: 1.0000e-03 eta: 1 day, 17:29:50 time: 0.7118 data_time: 0.0221 memory: 17350 grad_norm: 5.2748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7591 loss: 1.7591 2022/07/23 06:20:47 - mmengine - INFO - Epoch(train) [41][360/3757] lr: 1.0000e-03 eta: 1 day, 17:29:35 time: 0.6258 data_time: 0.0244 memory: 17350 grad_norm: 5.2451 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7503 loss: 1.7503 2022/07/23 06:21:01 - mmengine - INFO - Epoch(train) [41][380/3757] lr: 1.0000e-03 eta: 1 day, 17:29:23 time: 0.6856 data_time: 0.0335 memory: 17350 grad_norm: 5.2952 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3398 loss: 1.3398 2022/07/23 06:21:13 - mmengine - INFO - Epoch(train) [41][400/3757] lr: 1.0000e-03 eta: 1 day, 17:29:08 time: 0.6111 data_time: 0.0239 memory: 17350 grad_norm: 5.2198 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4133 loss: 1.4133 2022/07/23 06:21:28 - mmengine - INFO - Epoch(train) [41][420/3757] lr: 1.0000e-03 eta: 1 day, 17:28:57 time: 0.7587 data_time: 0.0219 memory: 17350 grad_norm: 5.2082 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2781 loss: 1.2781 2022/07/23 06:21:41 - mmengine - INFO - Epoch(train) [41][440/3757] lr: 1.0000e-03 eta: 1 day, 17:28:43 time: 0.6231 data_time: 0.0226 memory: 17350 grad_norm: 5.1856 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4197 loss: 1.4197 2022/07/23 06:21:56 - mmengine - INFO - Epoch(train) [41][460/3757] lr: 1.0000e-03 eta: 1 day, 17:28:32 time: 0.7426 data_time: 0.0240 memory: 17350 grad_norm: 5.3638 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7721 loss: 1.7721 2022/07/23 06:22:07 - mmengine - INFO - Epoch(train) [41][480/3757] lr: 1.0000e-03 eta: 1 day, 17:28:16 time: 0.5600 data_time: 0.0229 memory: 17350 grad_norm: 5.1660 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5977 loss: 1.5977 2022/07/23 06:22:21 - mmengine - INFO - Epoch(train) [41][500/3757] lr: 1.0000e-03 eta: 1 day, 17:28:04 time: 0.7047 data_time: 0.0239 memory: 17350 grad_norm: 5.3466 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6765 loss: 1.6765 2022/07/23 06:22:33 - mmengine - INFO - Epoch(train) [41][520/3757] lr: 1.0000e-03 eta: 1 day, 17:27:49 time: 0.6113 data_time: 0.0230 memory: 17350 grad_norm: 5.1130 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5908 loss: 1.5908 2022/07/23 06:22:48 - mmengine - INFO - Epoch(train) [41][540/3757] lr: 1.0000e-03 eta: 1 day, 17:27:37 time: 0.7319 data_time: 0.0246 memory: 17350 grad_norm: 5.2198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5426 loss: 1.5426 2022/07/23 06:22:59 - mmengine - INFO - Epoch(train) [41][560/3757] lr: 1.0000e-03 eta: 1 day, 17:27:22 time: 0.5771 data_time: 0.0242 memory: 17350 grad_norm: 5.2095 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6982 loss: 1.6982 2022/07/23 06:23:14 - mmengine - INFO - Epoch(train) [41][580/3757] lr: 1.0000e-03 eta: 1 day, 17:27:11 time: 0.7527 data_time: 0.0213 memory: 17350 grad_norm: 5.3576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4160 loss: 1.4160 2022/07/23 06:23:26 - mmengine - INFO - Epoch(train) [41][600/3757] lr: 1.0000e-03 eta: 1 day, 17:26:56 time: 0.6018 data_time: 0.0243 memory: 17350 grad_norm: 5.2677 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9282 loss: 1.9282 2022/07/23 06:23:41 - mmengine - INFO - Epoch(train) [41][620/3757] lr: 1.0000e-03 eta: 1 day, 17:26:45 time: 0.7280 data_time: 0.0220 memory: 17350 grad_norm: 5.2909 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7426 loss: 1.7426 2022/07/23 06:23:53 - mmengine - INFO - Epoch(train) [41][640/3757] lr: 1.0000e-03 eta: 1 day, 17:26:29 time: 0.5814 data_time: 0.0227 memory: 17350 grad_norm: 5.0177 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2869 loss: 1.2869 2022/07/23 06:24:07 - mmengine - INFO - Epoch(train) [41][660/3757] lr: 1.0000e-03 eta: 1 day, 17:26:18 time: 0.7377 data_time: 0.0227 memory: 17350 grad_norm: 5.1699 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6101 loss: 1.6101 2022/07/23 06:24:20 - mmengine - INFO - Epoch(train) [41][680/3757] lr: 1.0000e-03 eta: 1 day, 17:26:03 time: 0.6250 data_time: 0.0256 memory: 17350 grad_norm: 5.2817 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0683 loss: 1.0683 2022/07/23 06:24:34 - mmengine - INFO - Epoch(train) [41][700/3757] lr: 1.0000e-03 eta: 1 day, 17:25:51 time: 0.6820 data_time: 0.0233 memory: 17350 grad_norm: 5.1850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6692 loss: 1.6692 2022/07/23 06:24:47 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 06:24:47 - mmengine - INFO - Epoch(train) [41][720/3757] lr: 1.0000e-03 eta: 1 day, 17:25:38 time: 0.6938 data_time: 0.0237 memory: 17350 grad_norm: 5.3668 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6744 loss: 1.6744 2022/07/23 06:25:00 - mmengine - INFO - Epoch(train) [41][740/3757] lr: 1.0000e-03 eta: 1 day, 17:25:25 time: 0.6502 data_time: 0.0233 memory: 17350 grad_norm: 5.1351 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7428 loss: 1.7428 2022/07/23 06:25:15 - mmengine - INFO - Epoch(train) [41][760/3757] lr: 1.0000e-03 eta: 1 day, 17:25:13 time: 0.7354 data_time: 0.0226 memory: 17350 grad_norm: 5.1395 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4700 loss: 1.4700 2022/07/23 06:25:27 - mmengine - INFO - Epoch(train) [41][780/3757] lr: 1.0000e-03 eta: 1 day, 17:24:58 time: 0.6000 data_time: 0.0219 memory: 17350 grad_norm: 5.2278 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5624 loss: 1.5624 2022/07/23 06:25:41 - mmengine - INFO - Epoch(train) [41][800/3757] lr: 1.0000e-03 eta: 1 day, 17:24:46 time: 0.6980 data_time: 0.0233 memory: 17350 grad_norm: 5.2221 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4640 loss: 1.4640 2022/07/23 06:25:53 - mmengine - INFO - Epoch(train) [41][820/3757] lr: 1.0000e-03 eta: 1 day, 17:24:30 time: 0.5834 data_time: 0.0217 memory: 17350 grad_norm: 4.9323 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3383 loss: 1.3383 2022/07/23 06:26:07 - mmengine - INFO - Epoch(train) [41][840/3757] lr: 1.0000e-03 eta: 1 day, 17:24:19 time: 0.7290 data_time: 0.0244 memory: 17350 grad_norm: 5.3254 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6137 loss: 1.6137 2022/07/23 06:26:19 - mmengine - INFO - Epoch(train) [41][860/3757] lr: 1.0000e-03 eta: 1 day, 17:24:04 time: 0.5945 data_time: 0.0244 memory: 17350 grad_norm: 5.3085 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8348 loss: 1.8348 2022/07/23 06:26:34 - mmengine - INFO - Epoch(train) [41][880/3757] lr: 1.0000e-03 eta: 1 day, 17:23:52 time: 0.7140 data_time: 0.0222 memory: 17350 grad_norm: 5.2054 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3464 loss: 1.3464 2022/07/23 06:26:47 - mmengine - INFO - Epoch(train) [41][900/3757] lr: 1.0000e-03 eta: 1 day, 17:23:39 time: 0.6618 data_time: 0.0229 memory: 17350 grad_norm: 5.1844 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6621 loss: 1.6621 2022/07/23 06:27:00 - mmengine - INFO - Epoch(train) [41][920/3757] lr: 1.0000e-03 eta: 1 day, 17:23:25 time: 0.6671 data_time: 0.0215 memory: 17350 grad_norm: 5.1865 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5268 loss: 1.5268 2022/07/23 06:27:13 - mmengine - INFO - Epoch(train) [41][940/3757] lr: 1.0000e-03 eta: 1 day, 17:23:11 time: 0.6310 data_time: 0.0227 memory: 17350 grad_norm: 5.3769 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.5802 loss: 1.5802 2022/07/23 06:27:28 - mmengine - INFO - Epoch(train) [41][960/3757] lr: 1.0000e-03 eta: 1 day, 17:23:00 time: 0.7348 data_time: 0.0221 memory: 17350 grad_norm: 5.1838 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2839 loss: 1.2839 2022/07/23 06:27:39 - mmengine - INFO - Epoch(train) [41][980/3757] lr: 1.0000e-03 eta: 1 day, 17:22:45 time: 0.5983 data_time: 0.0232 memory: 17350 grad_norm: 5.2440 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6268 loss: 1.6268 2022/07/23 06:27:54 - mmengine - INFO - Epoch(train) [41][1000/3757] lr: 1.0000e-03 eta: 1 day, 17:22:34 time: 0.7342 data_time: 0.0221 memory: 17350 grad_norm: 5.2904 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6544 loss: 1.6544 2022/07/23 06:28:07 - mmengine - INFO - Epoch(train) [41][1020/3757] lr: 1.0000e-03 eta: 1 day, 17:22:20 time: 0.6546 data_time: 0.0233 memory: 17350 grad_norm: 5.2877 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2973 loss: 1.2973 2022/07/23 06:28:21 - mmengine - INFO - Epoch(train) [41][1040/3757] lr: 1.0000e-03 eta: 1 day, 17:22:07 time: 0.6800 data_time: 0.0210 memory: 17350 grad_norm: 5.3965 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5019 loss: 1.5019 2022/07/23 06:28:35 - mmengine - INFO - Epoch(train) [41][1060/3757] lr: 1.0000e-03 eta: 1 day, 17:21:55 time: 0.6856 data_time: 0.0223 memory: 17350 grad_norm: 5.3049 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1577 loss: 1.1577 2022/07/23 06:28:48 - mmengine - INFO - Epoch(train) [41][1080/3757] lr: 1.0000e-03 eta: 1 day, 17:21:41 time: 0.6528 data_time: 0.0252 memory: 17350 grad_norm: 5.4227 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6442 loss: 1.6442 2022/07/23 06:29:01 - mmengine - INFO - Epoch(train) [41][1100/3757] lr: 1.0000e-03 eta: 1 day, 17:21:27 time: 0.6554 data_time: 0.0221 memory: 17350 grad_norm: 5.2331 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5308 loss: 1.5308 2022/07/23 06:29:14 - mmengine - INFO - Epoch(train) [41][1120/3757] lr: 1.0000e-03 eta: 1 day, 17:21:14 time: 0.6509 data_time: 0.0234 memory: 17350 grad_norm: 5.4660 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2355 loss: 1.2355 2022/07/23 06:29:27 - mmengine - INFO - Epoch(train) [41][1140/3757] lr: 1.0000e-03 eta: 1 day, 17:21:01 time: 0.6665 data_time: 0.0243 memory: 17350 grad_norm: 5.1781 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3383 loss: 1.3383 2022/07/23 06:29:39 - mmengine - INFO - Epoch(train) [41][1160/3757] lr: 1.0000e-03 eta: 1 day, 17:20:46 time: 0.6154 data_time: 0.0223 memory: 17350 grad_norm: 5.2008 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5063 loss: 1.5063 2022/07/23 06:29:53 - mmengine - INFO - Epoch(train) [41][1180/3757] lr: 1.0000e-03 eta: 1 day, 17:20:33 time: 0.6841 data_time: 0.0235 memory: 17350 grad_norm: 5.2378 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4837 loss: 1.4837 2022/07/23 06:30:08 - mmengine - INFO - Epoch(train) [41][1200/3757] lr: 1.0000e-03 eta: 1 day, 17:20:22 time: 0.7301 data_time: 0.0251 memory: 17350 grad_norm: 5.3754 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7165 loss: 1.7165 2022/07/23 06:30:20 - mmengine - INFO - Epoch(train) [41][1220/3757] lr: 1.0000e-03 eta: 1 day, 17:20:07 time: 0.6133 data_time: 0.0220 memory: 17350 grad_norm: 5.5938 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3754 loss: 1.3754 2022/07/23 06:30:34 - mmengine - INFO - Epoch(train) [41][1240/3757] lr: 1.0000e-03 eta: 1 day, 17:19:55 time: 0.7159 data_time: 0.0232 memory: 17350 grad_norm: 5.5963 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6198 loss: 1.6198 2022/07/23 06:30:47 - mmengine - INFO - Epoch(train) [41][1260/3757] lr: 1.0000e-03 eta: 1 day, 17:19:42 time: 0.6506 data_time: 0.0232 memory: 17350 grad_norm: 5.2321 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5266 loss: 1.5266 2022/07/23 06:31:00 - mmengine - INFO - Epoch(train) [41][1280/3757] lr: 1.0000e-03 eta: 1 day, 17:19:27 time: 0.6145 data_time: 0.0226 memory: 17350 grad_norm: 5.1892 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6382 loss: 1.6382 2022/07/23 06:31:13 - mmengine - INFO - Epoch(train) [41][1300/3757] lr: 1.0000e-03 eta: 1 day, 17:19:14 time: 0.6857 data_time: 0.0233 memory: 17350 grad_norm: 5.2103 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4531 loss: 1.4531 2022/07/23 06:31:26 - mmengine - INFO - Epoch(train) [41][1320/3757] lr: 1.0000e-03 eta: 1 day, 17:19:00 time: 0.6398 data_time: 0.0226 memory: 17350 grad_norm: 5.1756 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6085 loss: 1.6085 2022/07/23 06:31:40 - mmengine - INFO - Epoch(train) [41][1340/3757] lr: 1.0000e-03 eta: 1 day, 17:18:47 time: 0.6735 data_time: 0.0217 memory: 17350 grad_norm: 5.2579 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5467 loss: 1.5467 2022/07/23 06:31:52 - mmengine - INFO - Epoch(train) [41][1360/3757] lr: 1.0000e-03 eta: 1 day, 17:18:33 time: 0.6351 data_time: 0.0241 memory: 17350 grad_norm: 4.9846 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5479 loss: 1.5479 2022/07/23 06:32:05 - mmengine - INFO - Epoch(train) [41][1380/3757] lr: 1.0000e-03 eta: 1 day, 17:18:19 time: 0.6450 data_time: 0.0216 memory: 17350 grad_norm: 5.1566 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2668 loss: 1.2668 2022/07/23 06:32:19 - mmengine - INFO - Epoch(train) [41][1400/3757] lr: 1.0000e-03 eta: 1 day, 17:18:06 time: 0.6609 data_time: 0.0400 memory: 17350 grad_norm: 5.3228 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2433 loss: 1.2433 2022/07/23 06:32:32 - mmengine - INFO - Epoch(train) [41][1420/3757] lr: 1.0000e-03 eta: 1 day, 17:17:53 time: 0.6848 data_time: 0.0250 memory: 17350 grad_norm: 5.1233 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6140 loss: 1.6140 2022/07/23 06:32:45 - mmengine - INFO - Epoch(train) [41][1440/3757] lr: 1.0000e-03 eta: 1 day, 17:17:40 time: 0.6418 data_time: 0.0224 memory: 17350 grad_norm: 5.1538 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2934 loss: 1.2934 2022/07/23 06:32:59 - mmengine - INFO - Epoch(train) [41][1460/3757] lr: 1.0000e-03 eta: 1 day, 17:17:27 time: 0.6924 data_time: 0.0256 memory: 17350 grad_norm: 5.2975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4617 loss: 1.4617 2022/07/23 06:33:12 - mmengine - INFO - Epoch(train) [41][1480/3757] lr: 1.0000e-03 eta: 1 day, 17:17:13 time: 0.6444 data_time: 0.0236 memory: 17350 grad_norm: 5.2891 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5429 loss: 1.5429 2022/07/23 06:33:26 - mmengine - INFO - Epoch(train) [41][1500/3757] lr: 1.0000e-03 eta: 1 day, 17:17:01 time: 0.7011 data_time: 0.0218 memory: 17350 grad_norm: 5.3264 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3732 loss: 1.3732 2022/07/23 06:33:39 - mmengine - INFO - Epoch(train) [41][1520/3757] lr: 1.0000e-03 eta: 1 day, 17:16:47 time: 0.6380 data_time: 0.0263 memory: 17350 grad_norm: 5.2320 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6006 loss: 1.6006 2022/07/23 06:33:53 - mmengine - INFO - Epoch(train) [41][1540/3757] lr: 1.0000e-03 eta: 1 day, 17:16:35 time: 0.7055 data_time: 0.0248 memory: 17350 grad_norm: 5.2352 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4223 loss: 1.4223 2022/07/23 06:34:05 - mmengine - INFO - Epoch(train) [41][1560/3757] lr: 1.0000e-03 eta: 1 day, 17:16:21 time: 0.6226 data_time: 0.0225 memory: 17350 grad_norm: 5.2685 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7764 loss: 1.7764 2022/07/23 06:34:20 - mmengine - INFO - Epoch(train) [41][1580/3757] lr: 1.0000e-03 eta: 1 day, 17:16:09 time: 0.7315 data_time: 0.0233 memory: 17350 grad_norm: 5.6336 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8351 loss: 1.8351 2022/07/23 06:34:32 - mmengine - INFO - Epoch(train) [41][1600/3757] lr: 1.0000e-03 eta: 1 day, 17:15:55 time: 0.6243 data_time: 0.0238 memory: 17350 grad_norm: 5.4182 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7192 loss: 1.7192 2022/07/23 06:34:47 - mmengine - INFO - Epoch(train) [41][1620/3757] lr: 1.0000e-03 eta: 1 day, 17:15:43 time: 0.7225 data_time: 0.0219 memory: 17350 grad_norm: 5.1470 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2211 loss: 1.2211 2022/07/23 06:34:59 - mmengine - INFO - Epoch(train) [41][1640/3757] lr: 1.0000e-03 eta: 1 day, 17:15:29 time: 0.6178 data_time: 0.0237 memory: 17350 grad_norm: 5.3262 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5288 loss: 1.5288 2022/07/23 06:35:14 - mmengine - INFO - Epoch(train) [41][1660/3757] lr: 1.0000e-03 eta: 1 day, 17:15:17 time: 0.7323 data_time: 0.0226 memory: 17350 grad_norm: 5.1737 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3112 loss: 1.3112 2022/07/23 06:35:27 - mmengine - INFO - Epoch(train) [41][1680/3757] lr: 1.0000e-03 eta: 1 day, 17:15:03 time: 0.6374 data_time: 0.0231 memory: 17350 grad_norm: 5.1068 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5127 loss: 1.5127 2022/07/23 06:35:41 - mmengine - INFO - Epoch(train) [41][1700/3757] lr: 1.0000e-03 eta: 1 day, 17:14:52 time: 0.7358 data_time: 0.0226 memory: 17350 grad_norm: 5.4362 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5873 loss: 1.5873 2022/07/23 06:35:53 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 06:35:53 - mmengine - INFO - Epoch(train) [41][1720/3757] lr: 1.0000e-03 eta: 1 day, 17:14:37 time: 0.5845 data_time: 0.0240 memory: 17350 grad_norm: 5.4170 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8128 loss: 1.8128 2022/07/23 06:36:08 - mmengine - INFO - Epoch(train) [41][1740/3757] lr: 1.0000e-03 eta: 1 day, 17:14:26 time: 0.7397 data_time: 0.0236 memory: 17350 grad_norm: 5.3053 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5287 loss: 1.5287 2022/07/23 06:36:20 - mmengine - INFO - Epoch(train) [41][1760/3757] lr: 1.0000e-03 eta: 1 day, 17:14:11 time: 0.6262 data_time: 0.0229 memory: 17350 grad_norm: 5.4860 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3438 loss: 1.3438 2022/07/23 06:36:34 - mmengine - INFO - Epoch(train) [41][1780/3757] lr: 1.0000e-03 eta: 1 day, 17:13:59 time: 0.7043 data_time: 0.0250 memory: 17350 grad_norm: 5.4466 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4018 loss: 1.4018 2022/07/23 06:36:47 - mmengine - INFO - Epoch(train) [41][1800/3757] lr: 1.0000e-03 eta: 1 day, 17:13:45 time: 0.6408 data_time: 0.0219 memory: 17350 grad_norm: 5.3554 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5747 loss: 1.5747 2022/07/23 06:37:02 - mmengine - INFO - Epoch(train) [41][1820/3757] lr: 1.0000e-03 eta: 1 day, 17:13:33 time: 0.7092 data_time: 0.0210 memory: 17350 grad_norm: 5.1510 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5511 loss: 1.5511 2022/07/23 06:37:13 - mmengine - INFO - Epoch(train) [41][1840/3757] lr: 1.0000e-03 eta: 1 day, 17:13:17 time: 0.5695 data_time: 0.0235 memory: 17350 grad_norm: 5.2555 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3024 loss: 1.3024 2022/07/23 06:37:27 - mmengine - INFO - Epoch(train) [41][1860/3757] lr: 1.0000e-03 eta: 1 day, 17:13:05 time: 0.7028 data_time: 0.0216 memory: 17350 grad_norm: 5.3201 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3436 loss: 1.3436 2022/07/23 06:37:39 - mmengine - INFO - Epoch(train) [41][1880/3757] lr: 1.0000e-03 eta: 1 day, 17:12:50 time: 0.5901 data_time: 0.0210 memory: 17350 grad_norm: 5.3645 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6990 loss: 1.6990 2022/07/23 06:37:53 - mmengine - INFO - Epoch(train) [41][1900/3757] lr: 1.0000e-03 eta: 1 day, 17:12:38 time: 0.7329 data_time: 0.0238 memory: 17350 grad_norm: 5.2796 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2879 loss: 1.2879 2022/07/23 06:38:06 - mmengine - INFO - Epoch(train) [41][1920/3757] lr: 1.0000e-03 eta: 1 day, 17:12:24 time: 0.6418 data_time: 0.0235 memory: 17350 grad_norm: 5.2423 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6143 loss: 1.6143 2022/07/23 06:38:19 - mmengine - INFO - Epoch(train) [41][1940/3757] lr: 1.0000e-03 eta: 1 day, 17:12:10 time: 0.6352 data_time: 0.0263 memory: 17350 grad_norm: 5.1994 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6153 loss: 1.6153 2022/07/23 06:38:32 - mmengine - INFO - Epoch(train) [41][1960/3757] lr: 1.0000e-03 eta: 1 day, 17:11:57 time: 0.6564 data_time: 0.0227 memory: 17350 grad_norm: 5.3331 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3934 loss: 1.3934 2022/07/23 06:38:47 - mmengine - INFO - Epoch(train) [41][1980/3757] lr: 1.0000e-03 eta: 1 day, 17:11:46 time: 0.7459 data_time: 0.0205 memory: 17350 grad_norm: 5.2089 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6694 loss: 1.6694 2022/07/23 06:39:00 - mmengine - INFO - Epoch(train) [41][2000/3757] lr: 1.0000e-03 eta: 1 day, 17:11:32 time: 0.6530 data_time: 0.0227 memory: 17350 grad_norm: 5.3240 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5572 loss: 1.5572 2022/07/23 06:39:14 - mmengine - INFO - Epoch(train) [41][2020/3757] lr: 1.0000e-03 eta: 1 day, 17:11:20 time: 0.6935 data_time: 0.0264 memory: 17350 grad_norm: 5.4181 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5573 loss: 1.5573 2022/07/23 06:39:26 - mmengine - INFO - Epoch(train) [41][2040/3757] lr: 1.0000e-03 eta: 1 day, 17:11:05 time: 0.6158 data_time: 0.0214 memory: 17350 grad_norm: 5.2869 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6429 loss: 1.6429 2022/07/23 06:39:40 - mmengine - INFO - Epoch(train) [41][2060/3757] lr: 1.0000e-03 eta: 1 day, 17:10:52 time: 0.6673 data_time: 0.0244 memory: 17350 grad_norm: 5.3006 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3882 loss: 1.3882 2022/07/23 06:39:53 - mmengine - INFO - Epoch(train) [41][2080/3757] lr: 1.0000e-03 eta: 1 day, 17:10:39 time: 0.6581 data_time: 0.0232 memory: 17350 grad_norm: 5.3616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5858 loss: 1.5858 2022/07/23 06:40:06 - mmengine - INFO - Epoch(train) [41][2100/3757] lr: 1.0000e-03 eta: 1 day, 17:10:25 time: 0.6616 data_time: 0.0226 memory: 17350 grad_norm: 5.3529 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5202 loss: 1.5202 2022/07/23 06:40:20 - mmengine - INFO - Epoch(train) [41][2120/3757] lr: 1.0000e-03 eta: 1 day, 17:10:12 time: 0.6752 data_time: 0.0202 memory: 17350 grad_norm: 5.4196 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4055 loss: 1.4055 2022/07/23 06:40:33 - mmengine - INFO - Epoch(train) [41][2140/3757] lr: 1.0000e-03 eta: 1 day, 17:09:59 time: 0.6465 data_time: 0.0225 memory: 17350 grad_norm: 5.3694 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5457 loss: 1.5457 2022/07/23 06:40:47 - mmengine - INFO - Epoch(train) [41][2160/3757] lr: 1.0000e-03 eta: 1 day, 17:09:47 time: 0.7232 data_time: 0.0215 memory: 17350 grad_norm: 5.3551 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4287 loss: 1.4287 2022/07/23 06:41:00 - mmengine - INFO - Epoch(train) [41][2180/3757] lr: 1.0000e-03 eta: 1 day, 17:09:33 time: 0.6256 data_time: 0.0230 memory: 17350 grad_norm: 5.2230 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5732 loss: 1.5732 2022/07/23 06:41:14 - mmengine - INFO - Epoch(train) [41][2200/3757] lr: 1.0000e-03 eta: 1 day, 17:09:21 time: 0.7327 data_time: 0.0233 memory: 17350 grad_norm: 5.3605 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4049 loss: 1.4049 2022/07/23 06:41:27 - mmengine - INFO - Epoch(train) [41][2220/3757] lr: 1.0000e-03 eta: 1 day, 17:09:07 time: 0.6357 data_time: 0.0234 memory: 17350 grad_norm: 5.2255 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4663 loss: 1.4663 2022/07/23 06:41:40 - mmengine - INFO - Epoch(train) [41][2240/3757] lr: 1.0000e-03 eta: 1 day, 17:08:54 time: 0.6503 data_time: 0.0217 memory: 17350 grad_norm: 5.3752 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5697 loss: 1.5697 2022/07/23 06:41:54 - mmengine - INFO - Epoch(train) [41][2260/3757] lr: 1.0000e-03 eta: 1 day, 17:08:41 time: 0.6774 data_time: 0.0244 memory: 17350 grad_norm: 5.4914 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5265 loss: 1.5265 2022/07/23 06:42:06 - mmengine - INFO - Epoch(train) [41][2280/3757] lr: 1.0000e-03 eta: 1 day, 17:08:27 time: 0.6442 data_time: 0.0218 memory: 17350 grad_norm: 5.3235 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7044 loss: 1.7044 2022/07/23 06:42:20 - mmengine - INFO - Epoch(train) [41][2300/3757] lr: 1.0000e-03 eta: 1 day, 17:08:14 time: 0.6610 data_time: 0.0251 memory: 17350 grad_norm: 5.3327 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4169 loss: 1.4169 2022/07/23 06:42:33 - mmengine - INFO - Epoch(train) [41][2320/3757] lr: 1.0000e-03 eta: 1 day, 17:08:01 time: 0.6792 data_time: 0.0237 memory: 17350 grad_norm: 5.4617 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7550 loss: 1.7550 2022/07/23 06:42:47 - mmengine - INFO - Epoch(train) [41][2340/3757] lr: 1.0000e-03 eta: 1 day, 17:07:48 time: 0.6735 data_time: 0.0255 memory: 17350 grad_norm: 5.2456 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4337 loss: 1.4337 2022/07/23 06:42:59 - mmengine - INFO - Epoch(train) [41][2360/3757] lr: 1.0000e-03 eta: 1 day, 17:07:33 time: 0.6038 data_time: 0.0245 memory: 17350 grad_norm: 5.1718 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6684 loss: 1.6684 2022/07/23 06:43:14 - mmengine - INFO - Epoch(train) [41][2380/3757] lr: 1.0000e-03 eta: 1 day, 17:07:23 time: 0.7672 data_time: 0.0391 memory: 17350 grad_norm: 5.1690 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4650 loss: 1.4650 2022/07/23 06:43:26 - mmengine - INFO - Epoch(train) [41][2400/3757] lr: 1.0000e-03 eta: 1 day, 17:07:06 time: 0.5678 data_time: 0.0373 memory: 17350 grad_norm: 5.4110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5273 loss: 1.5273 2022/07/23 06:43:41 - mmengine - INFO - Epoch(train) [41][2420/3757] lr: 1.0000e-03 eta: 1 day, 17:06:56 time: 0.7663 data_time: 0.0494 memory: 17350 grad_norm: 5.3271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5077 loss: 1.5077 2022/07/23 06:43:53 - mmengine - INFO - Epoch(train) [41][2440/3757] lr: 1.0000e-03 eta: 1 day, 17:06:41 time: 0.5964 data_time: 0.0650 memory: 17350 grad_norm: 5.2954 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4786 loss: 1.4786 2022/07/23 06:44:07 - mmengine - INFO - Epoch(train) [41][2460/3757] lr: 1.0000e-03 eta: 1 day, 17:06:30 time: 0.7323 data_time: 0.1004 memory: 17350 grad_norm: 5.1749 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4734 loss: 1.4734 2022/07/23 06:44:20 - mmengine - INFO - Epoch(train) [41][2480/3757] lr: 1.0000e-03 eta: 1 day, 17:06:15 time: 0.6024 data_time: 0.0558 memory: 17350 grad_norm: 5.4734 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3612 loss: 1.3612 2022/07/23 06:44:34 - mmengine - INFO - Epoch(train) [41][2500/3757] lr: 1.0000e-03 eta: 1 day, 17:06:03 time: 0.7218 data_time: 0.1444 memory: 17350 grad_norm: 5.3832 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3193 loss: 1.3193 2022/07/23 06:44:46 - mmengine - INFO - Epoch(train) [41][2520/3757] lr: 1.0000e-03 eta: 1 day, 17:05:49 time: 0.6218 data_time: 0.0983 memory: 17350 grad_norm: 5.2062 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6695 loss: 1.6695 2022/07/23 06:45:00 - mmengine - INFO - Epoch(train) [41][2540/3757] lr: 1.0000e-03 eta: 1 day, 17:05:36 time: 0.7023 data_time: 0.1512 memory: 17350 grad_norm: 5.2637 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3695 loss: 1.3695 2022/07/23 06:45:13 - mmengine - INFO - Epoch(train) [41][2560/3757] lr: 1.0000e-03 eta: 1 day, 17:05:22 time: 0.6258 data_time: 0.1973 memory: 17350 grad_norm: 5.5148 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4406 loss: 1.4406 2022/07/23 06:45:28 - mmengine - INFO - Epoch(train) [41][2580/3757] lr: 1.0000e-03 eta: 1 day, 17:05:11 time: 0.7497 data_time: 0.2583 memory: 17350 grad_norm: 5.5303 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6226 loss: 1.6226 2022/07/23 06:45:40 - mmengine - INFO - Epoch(train) [41][2600/3757] lr: 1.0000e-03 eta: 1 day, 17:04:56 time: 0.5925 data_time: 0.1785 memory: 17350 grad_norm: 5.4478 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6718 loss: 1.6718 2022/07/23 06:45:54 - mmengine - INFO - Epoch(train) [41][2620/3757] lr: 1.0000e-03 eta: 1 day, 17:04:44 time: 0.7268 data_time: 0.2750 memory: 17350 grad_norm: 5.3062 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2285 loss: 1.2285 2022/07/23 06:46:06 - mmengine - INFO - Epoch(train) [41][2640/3757] lr: 1.0000e-03 eta: 1 day, 17:04:29 time: 0.5780 data_time: 0.2502 memory: 17350 grad_norm: 5.2684 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3570 loss: 1.3570 2022/07/23 06:46:20 - mmengine - INFO - Epoch(train) [41][2660/3757] lr: 1.0000e-03 eta: 1 day, 17:04:16 time: 0.6919 data_time: 0.3311 memory: 17350 grad_norm: 5.2354 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7815 loss: 1.7815 2022/07/23 06:46:33 - mmengine - INFO - Epoch(train) [41][2680/3757] lr: 1.0000e-03 eta: 1 day, 17:04:02 time: 0.6363 data_time: 0.2327 memory: 17350 grad_norm: 5.4117 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5126 loss: 1.5126 2022/07/23 06:46:46 - mmengine - INFO - Epoch(train) [41][2700/3757] lr: 1.0000e-03 eta: 1 day, 17:03:49 time: 0.6807 data_time: 0.2002 memory: 17350 grad_norm: 5.3053 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5878 loss: 1.5878 2022/07/23 06:46:59 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 06:46:59 - mmengine - INFO - Epoch(train) [41][2720/3757] lr: 1.0000e-03 eta: 1 day, 17:03:36 time: 0.6582 data_time: 0.2219 memory: 17350 grad_norm: 5.3225 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6885 loss: 1.6885 2022/07/23 06:47:12 - mmengine - INFO - Epoch(train) [41][2740/3757] lr: 1.0000e-03 eta: 1 day, 17:03:22 time: 0.6544 data_time: 0.3082 memory: 17350 grad_norm: 5.4450 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4271 loss: 1.4271 2022/07/23 06:47:27 - mmengine - INFO - Epoch(train) [41][2760/3757] lr: 1.0000e-03 eta: 1 day, 17:03:11 time: 0.7268 data_time: 0.3886 memory: 17350 grad_norm: 5.2178 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3809 loss: 1.3809 2022/07/23 06:47:39 - mmengine - INFO - Epoch(train) [41][2780/3757] lr: 1.0000e-03 eta: 1 day, 17:02:56 time: 0.6168 data_time: 0.2858 memory: 17350 grad_norm: 5.5260 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4582 loss: 1.4582 2022/07/23 06:47:53 - mmengine - INFO - Epoch(train) [41][2800/3757] lr: 1.0000e-03 eta: 1 day, 17:02:44 time: 0.7026 data_time: 0.3718 memory: 17350 grad_norm: 5.4563 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4507 loss: 1.4507 2022/07/23 06:48:06 - mmengine - INFO - Epoch(train) [41][2820/3757] lr: 1.0000e-03 eta: 1 day, 17:02:30 time: 0.6360 data_time: 0.3121 memory: 17350 grad_norm: 5.5368 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4742 loss: 1.4742 2022/07/23 06:48:19 - mmengine - INFO - Epoch(train) [41][2840/3757] lr: 1.0000e-03 eta: 1 day, 17:02:17 time: 0.6562 data_time: 0.3289 memory: 17350 grad_norm: 5.1935 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2841 loss: 1.2841 2022/07/23 06:48:33 - mmengine - INFO - Epoch(train) [41][2860/3757] lr: 1.0000e-03 eta: 1 day, 17:02:04 time: 0.6907 data_time: 0.3610 memory: 17350 grad_norm: 5.4889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2400 loss: 1.2400 2022/07/23 06:48:46 - mmengine - INFO - Epoch(train) [41][2880/3757] lr: 1.0000e-03 eta: 1 day, 17:01:50 time: 0.6421 data_time: 0.3006 memory: 17350 grad_norm: 5.5570 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6520 loss: 1.6520 2022/07/23 06:49:00 - mmengine - INFO - Epoch(train) [41][2900/3757] lr: 1.0000e-03 eta: 1 day, 17:01:38 time: 0.6981 data_time: 0.3652 memory: 17350 grad_norm: 5.3888 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3408 loss: 1.3408 2022/07/23 06:49:12 - mmengine - INFO - Epoch(train) [41][2920/3757] lr: 1.0000e-03 eta: 1 day, 17:01:24 time: 0.6268 data_time: 0.2758 memory: 17350 grad_norm: 5.5739 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3070 loss: 1.3070 2022/07/23 06:49:27 - mmengine - INFO - Epoch(train) [41][2940/3757] lr: 1.0000e-03 eta: 1 day, 17:01:11 time: 0.7058 data_time: 0.3645 memory: 17350 grad_norm: 5.2654 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6649 loss: 1.6649 2022/07/23 06:49:39 - mmengine - INFO - Epoch(train) [41][2960/3757] lr: 1.0000e-03 eta: 1 day, 17:00:58 time: 0.6399 data_time: 0.3063 memory: 17350 grad_norm: 5.3926 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5486 loss: 1.5486 2022/07/23 06:49:54 - mmengine - INFO - Epoch(train) [41][2980/3757] lr: 1.0000e-03 eta: 1 day, 17:00:46 time: 0.7331 data_time: 0.4010 memory: 17350 grad_norm: 5.4137 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6903 loss: 1.6903 2022/07/23 06:50:07 - mmengine - INFO - Epoch(train) [41][3000/3757] lr: 1.0000e-03 eta: 1 day, 17:00:33 time: 0.6620 data_time: 0.3319 memory: 17350 grad_norm: 5.3456 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3909 loss: 1.3909 2022/07/23 06:50:21 - mmengine - INFO - Epoch(train) [41][3020/3757] lr: 1.0000e-03 eta: 1 day, 17:00:20 time: 0.6739 data_time: 0.3437 memory: 17350 grad_norm: 5.2695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3565 loss: 1.3565 2022/07/23 06:50:33 - mmengine - INFO - Epoch(train) [41][3040/3757] lr: 1.0000e-03 eta: 1 day, 17:00:05 time: 0.6077 data_time: 0.2793 memory: 17350 grad_norm: 5.5147 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3473 loss: 1.3473 2022/07/23 06:50:47 - mmengine - INFO - Epoch(train) [41][3060/3757] lr: 1.0000e-03 eta: 1 day, 16:59:54 time: 0.7267 data_time: 0.3954 memory: 17350 grad_norm: 5.3101 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6030 loss: 1.6030 2022/07/23 06:51:00 - mmengine - INFO - Epoch(train) [41][3080/3757] lr: 1.0000e-03 eta: 1 day, 16:59:39 time: 0.6097 data_time: 0.2756 memory: 17350 grad_norm: 5.5641 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7807 loss: 1.7807 2022/07/23 06:51:14 - mmengine - INFO - Epoch(train) [41][3100/3757] lr: 1.0000e-03 eta: 1 day, 16:59:27 time: 0.7289 data_time: 0.3935 memory: 17350 grad_norm: 5.3334 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4581 loss: 1.4581 2022/07/23 06:51:26 - mmengine - INFO - Epoch(train) [41][3120/3757] lr: 1.0000e-03 eta: 1 day, 16:59:12 time: 0.5910 data_time: 0.2512 memory: 17350 grad_norm: 5.3181 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6759 loss: 1.6759 2022/07/23 06:51:41 - mmengine - INFO - Epoch(train) [41][3140/3757] lr: 1.0000e-03 eta: 1 day, 16:59:00 time: 0.7219 data_time: 0.3873 memory: 17350 grad_norm: 5.1973 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4398 loss: 1.4398 2022/07/23 06:51:52 - mmengine - INFO - Epoch(train) [41][3160/3757] lr: 1.0000e-03 eta: 1 day, 16:58:45 time: 0.5890 data_time: 0.2577 memory: 17350 grad_norm: 5.3438 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3793 loss: 1.3793 2022/07/23 06:52:06 - mmengine - INFO - Epoch(train) [41][3180/3757] lr: 1.0000e-03 eta: 1 day, 16:58:33 time: 0.6999 data_time: 0.3640 memory: 17350 grad_norm: 5.3668 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3547 loss: 1.3547 2022/07/23 06:52:18 - mmengine - INFO - Epoch(train) [41][3200/3757] lr: 1.0000e-03 eta: 1 day, 16:58:17 time: 0.5846 data_time: 0.2509 memory: 17350 grad_norm: 5.4536 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2861 loss: 1.2861 2022/07/23 06:52:32 - mmengine - INFO - Epoch(train) [41][3220/3757] lr: 1.0000e-03 eta: 1 day, 16:58:05 time: 0.7125 data_time: 0.3768 memory: 17350 grad_norm: 5.6932 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5908 loss: 1.5908 2022/07/23 06:52:44 - mmengine - INFO - Epoch(train) [41][3240/3757] lr: 1.0000e-03 eta: 1 day, 16:57:50 time: 0.5948 data_time: 0.2611 memory: 17350 grad_norm: 5.4660 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7235 loss: 1.7235 2022/07/23 06:52:59 - mmengine - INFO - Epoch(train) [41][3260/3757] lr: 1.0000e-03 eta: 1 day, 16:57:38 time: 0.7222 data_time: 0.3580 memory: 17350 grad_norm: 5.3748 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6466 loss: 1.6466 2022/07/23 06:53:11 - mmengine - INFO - Epoch(train) [41][3280/3757] lr: 1.0000e-03 eta: 1 day, 16:57:24 time: 0.6325 data_time: 0.2339 memory: 17350 grad_norm: 5.4921 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3836 loss: 1.3836 2022/07/23 06:53:25 - mmengine - INFO - Epoch(train) [41][3300/3757] lr: 1.0000e-03 eta: 1 day, 16:57:12 time: 0.7006 data_time: 0.2004 memory: 17350 grad_norm: 5.6826 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7021 loss: 1.7021 2022/07/23 06:53:37 - mmengine - INFO - Epoch(train) [41][3320/3757] lr: 1.0000e-03 eta: 1 day, 16:56:57 time: 0.6038 data_time: 0.1810 memory: 17350 grad_norm: 5.3228 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2898 loss: 1.2898 2022/07/23 06:53:52 - mmengine - INFO - Epoch(train) [41][3340/3757] lr: 1.0000e-03 eta: 1 day, 16:56:45 time: 0.7219 data_time: 0.3842 memory: 17350 grad_norm: 5.2648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4041 loss: 1.4041 2022/07/23 06:54:04 - mmengine - INFO - Epoch(train) [41][3360/3757] lr: 1.0000e-03 eta: 1 day, 16:56:30 time: 0.5998 data_time: 0.2467 memory: 17350 grad_norm: 5.2160 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4608 loss: 1.4608 2022/07/23 06:54:19 - mmengine - INFO - Epoch(train) [41][3380/3757] lr: 1.0000e-03 eta: 1 day, 16:56:20 time: 0.7695 data_time: 0.4369 memory: 17350 grad_norm: 5.4704 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6072 loss: 1.6072 2022/07/23 06:54:31 - mmengine - INFO - Epoch(train) [41][3400/3757] lr: 1.0000e-03 eta: 1 day, 16:56:05 time: 0.6025 data_time: 0.2662 memory: 17350 grad_norm: 5.5366 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6990 loss: 1.6990 2022/07/23 06:54:47 - mmengine - INFO - Epoch(train) [41][3420/3757] lr: 1.0000e-03 eta: 1 day, 16:55:55 time: 0.7587 data_time: 0.4222 memory: 17350 grad_norm: 5.4008 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3147 loss: 1.3147 2022/07/23 06:54:59 - mmengine - INFO - Epoch(train) [41][3440/3757] lr: 1.0000e-03 eta: 1 day, 16:55:39 time: 0.6033 data_time: 0.2695 memory: 17350 grad_norm: 5.5167 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4583 loss: 1.4583 2022/07/23 06:55:13 - mmengine - INFO - Epoch(train) [41][3460/3757] lr: 1.0000e-03 eta: 1 day, 16:55:28 time: 0.7132 data_time: 0.3748 memory: 17350 grad_norm: 5.4289 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5805 loss: 1.5805 2022/07/23 06:55:25 - mmengine - INFO - Epoch(train) [41][3480/3757] lr: 1.0000e-03 eta: 1 day, 16:55:12 time: 0.5925 data_time: 0.2611 memory: 17350 grad_norm: 5.4383 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6542 loss: 1.6542 2022/07/23 06:55:40 - mmengine - INFO - Epoch(train) [41][3500/3757] lr: 1.0000e-03 eta: 1 day, 16:55:02 time: 0.7653 data_time: 0.4319 memory: 17350 grad_norm: 5.5842 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4890 loss: 1.4890 2022/07/23 06:55:52 - mmengine - INFO - Epoch(train) [41][3520/3757] lr: 1.0000e-03 eta: 1 day, 16:54:47 time: 0.6072 data_time: 0.2725 memory: 17350 grad_norm: 5.4264 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3672 loss: 1.3672 2022/07/23 06:56:08 - mmengine - INFO - Epoch(train) [41][3540/3757] lr: 1.0000e-03 eta: 1 day, 16:54:37 time: 0.7723 data_time: 0.4357 memory: 17350 grad_norm: 5.5759 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5286 loss: 1.5286 2022/07/23 06:56:19 - mmengine - INFO - Epoch(train) [41][3560/3757] lr: 1.0000e-03 eta: 1 day, 16:54:21 time: 0.5575 data_time: 0.2216 memory: 17350 grad_norm: 5.4718 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6374 loss: 1.6374 2022/07/23 06:56:33 - mmengine - INFO - Epoch(train) [41][3580/3757] lr: 1.0000e-03 eta: 1 day, 16:54:09 time: 0.7104 data_time: 0.3722 memory: 17350 grad_norm: 5.5473 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4050 loss: 1.4050 2022/07/23 06:56:44 - mmengine - INFO - Epoch(train) [41][3600/3757] lr: 1.0000e-03 eta: 1 day, 16:53:53 time: 0.5702 data_time: 0.2387 memory: 17350 grad_norm: 5.3730 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4087 loss: 1.4087 2022/07/23 06:57:01 - mmengine - INFO - Epoch(train) [41][3620/3757] lr: 1.0000e-03 eta: 1 day, 16:53:43 time: 0.8037 data_time: 0.4712 memory: 17350 grad_norm: 5.4153 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6267 loss: 1.6267 2022/07/23 06:57:12 - mmengine - INFO - Epoch(train) [41][3640/3757] lr: 1.0000e-03 eta: 1 day, 16:53:28 time: 0.5727 data_time: 0.2365 memory: 17350 grad_norm: 5.4700 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2725 loss: 1.2725 2022/07/23 06:57:27 - mmengine - INFO - Epoch(train) [41][3660/3757] lr: 1.0000e-03 eta: 1 day, 16:53:16 time: 0.7288 data_time: 0.3963 memory: 17350 grad_norm: 5.4600 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3542 loss: 1.3542 2022/07/23 06:57:38 - mmengine - INFO - Epoch(train) [41][3680/3757] lr: 1.0000e-03 eta: 1 day, 16:53:00 time: 0.5754 data_time: 0.2410 memory: 17350 grad_norm: 5.3695 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6548 loss: 1.6548 2022/07/23 06:57:53 - mmengine - INFO - Epoch(train) [41][3700/3757] lr: 1.0000e-03 eta: 1 day, 16:52:50 time: 0.7510 data_time: 0.4096 memory: 17350 grad_norm: 5.4847 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3260 loss: 1.3260 2022/07/23 06:58:05 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 06:58:05 - mmengine - INFO - Epoch(train) [41][3720/3757] lr: 1.0000e-03 eta: 1 day, 16:52:34 time: 0.5981 data_time: 0.2628 memory: 17350 grad_norm: 5.3589 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4437 loss: 1.4437 2022/07/23 06:58:19 - mmengine - INFO - Epoch(train) [41][3740/3757] lr: 1.0000e-03 eta: 1 day, 16:52:23 time: 0.7163 data_time: 0.3846 memory: 17350 grad_norm: 5.3962 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6982 loss: 1.6982 2022/07/23 06:58:27 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 06:58:27 - mmengine - INFO - Epoch(train) [41][3757/3757] lr: 1.0000e-03 eta: 1 day, 16:52:23 time: 0.5630 data_time: 0.2359 memory: 17350 grad_norm: 5.3470 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.3327 loss: 1.3327 2022/07/23 06:58:44 - mmengine - INFO - Epoch(val) [41][20/310] eta: 0:04:02 time: 0.8348 data_time: 0.7193 memory: 3406 2022/07/23 06:58:55 - mmengine - INFO - Epoch(val) [41][40/310] eta: 0:02:27 time: 0.5476 data_time: 0.4346 memory: 3406 2022/07/23 06:59:10 - mmengine - INFO - Epoch(val) [41][60/310] eta: 0:03:09 time: 0.7585 data_time: 0.6449 memory: 3406 2022/07/23 06:59:21 - mmengine - INFO - Epoch(val) [41][80/310] eta: 0:02:09 time: 0.5612 data_time: 0.4480 memory: 3406 2022/07/23 06:59:36 - mmengine - INFO - Epoch(val) [41][100/310] eta: 0:02:39 time: 0.7572 data_time: 0.6425 memory: 3406 2022/07/23 06:59:47 - mmengine - INFO - Epoch(val) [41][120/310] eta: 0:01:41 time: 0.5360 data_time: 0.4237 memory: 3406 2022/07/23 07:00:03 - mmengine - INFO - Epoch(val) [41][140/310] eta: 0:02:14 time: 0.7890 data_time: 0.6762 memory: 3406 2022/07/23 07:00:14 - mmengine - INFO - Epoch(val) [41][160/310] eta: 0:01:22 time: 0.5467 data_time: 0.4344 memory: 3406 2022/07/23 07:00:29 - mmengine - INFO - Epoch(val) [41][180/310] eta: 0:01:40 time: 0.7693 data_time: 0.6576 memory: 3406 2022/07/23 07:00:40 - mmengine - INFO - Epoch(val) [41][200/310] eta: 0:01:01 time: 0.5623 data_time: 0.4500 memory: 3406 2022/07/23 07:00:56 - mmengine - INFO - Epoch(val) [41][220/310] eta: 0:01:11 time: 0.7915 data_time: 0.6784 memory: 3406 2022/07/23 07:01:08 - mmengine - INFO - Epoch(val) [41][240/310] eta: 0:00:39 time: 0.5688 data_time: 0.4560 memory: 3406 2022/07/23 07:01:23 - mmengine - INFO - Epoch(val) [41][260/310] eta: 0:00:37 time: 0.7478 data_time: 0.6355 memory: 3406 2022/07/23 07:01:34 - mmengine - INFO - Epoch(val) [41][280/310] eta: 0:00:16 time: 0.5619 data_time: 0.4454 memory: 3406 2022/07/23 07:01:49 - mmengine - INFO - Epoch(val) [41][300/310] eta: 0:00:07 time: 0.7439 data_time: 0.6307 memory: 3406 2022/07/23 07:01:53 - mmengine - INFO - Epoch(val) [41][310/310] acc/top1: 0.6548 acc/top5: 0.8620 acc/mean1: 0.6547 2022/07/23 07:01:54 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_38.pth is removed 2022/07/23 07:01:57 - mmengine - INFO - The best checkpoint with 0.6548 acc/top1 at 42 epoch is saved to best_acc/top1_epoch_42.pth. 2022/07/23 07:02:14 - mmengine - INFO - Epoch(train) [42][20/3757] lr: 1.0000e-03 eta: 1 day, 16:51:46 time: 0.8160 data_time: 0.4845 memory: 17350 grad_norm: 5.4396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2374 loss: 1.2374 2022/07/23 07:02:26 - mmengine - INFO - Epoch(train) [42][40/3757] lr: 1.0000e-03 eta: 1 day, 16:51:32 time: 0.6359 data_time: 0.3083 memory: 17350 grad_norm: 5.4768 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2617 loss: 1.2617 2022/07/23 07:02:40 - mmengine - INFO - Epoch(train) [42][60/3757] lr: 1.0000e-03 eta: 1 day, 16:51:19 time: 0.6840 data_time: 0.3605 memory: 17350 grad_norm: 5.2392 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3909 loss: 1.3909 2022/07/23 07:02:53 - mmengine - INFO - Epoch(train) [42][80/3757] lr: 1.0000e-03 eta: 1 day, 16:51:06 time: 0.6604 data_time: 0.3360 memory: 17350 grad_norm: 5.2424 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4231 loss: 1.4231 2022/07/23 07:03:08 - mmengine - INFO - Epoch(train) [42][100/3757] lr: 1.0000e-03 eta: 1 day, 16:50:55 time: 0.7475 data_time: 0.4276 memory: 17350 grad_norm: 5.3677 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4174 loss: 1.4174 2022/07/23 07:03:20 - mmengine - INFO - Epoch(train) [42][120/3757] lr: 1.0000e-03 eta: 1 day, 16:50:40 time: 0.5844 data_time: 0.2555 memory: 17350 grad_norm: 5.3957 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4477 loss: 1.4477 2022/07/23 07:03:35 - mmengine - INFO - Epoch(train) [42][140/3757] lr: 1.0000e-03 eta: 1 day, 16:50:28 time: 0.7347 data_time: 0.4093 memory: 17350 grad_norm: 5.4222 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4946 loss: 1.4946 2022/07/23 07:03:47 - mmengine - INFO - Epoch(train) [42][160/3757] lr: 1.0000e-03 eta: 1 day, 16:50:14 time: 0.6256 data_time: 0.3019 memory: 17350 grad_norm: 5.5269 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4080 loss: 1.4080 2022/07/23 07:04:02 - mmengine - INFO - Epoch(train) [42][180/3757] lr: 1.0000e-03 eta: 1 day, 16:50:02 time: 0.7157 data_time: 0.3915 memory: 17350 grad_norm: 5.4003 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4727 loss: 1.4727 2022/07/23 07:04:14 - mmengine - INFO - Epoch(train) [42][200/3757] lr: 1.0000e-03 eta: 1 day, 16:49:47 time: 0.6091 data_time: 0.2827 memory: 17350 grad_norm: 5.1952 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4400 loss: 1.4400 2022/07/23 07:04:28 - mmengine - INFO - Epoch(train) [42][220/3757] lr: 1.0000e-03 eta: 1 day, 16:49:36 time: 0.7177 data_time: 0.3900 memory: 17350 grad_norm: 5.5542 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4000 loss: 1.4000 2022/07/23 07:04:40 - mmengine - INFO - Epoch(train) [42][240/3757] lr: 1.0000e-03 eta: 1 day, 16:49:20 time: 0.5936 data_time: 0.2627 memory: 17350 grad_norm: 5.3598 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5842 loss: 1.5842 2022/07/23 07:04:55 - mmengine - INFO - Epoch(train) [42][260/3757] lr: 1.0000e-03 eta: 1 day, 16:49:09 time: 0.7279 data_time: 0.4037 memory: 17350 grad_norm: 5.4106 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4425 loss: 1.4425 2022/07/23 07:05:08 - mmengine - INFO - Epoch(train) [42][280/3757] lr: 1.0000e-03 eta: 1 day, 16:48:55 time: 0.6552 data_time: 0.3230 memory: 17350 grad_norm: 5.3842 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2827 loss: 1.2827 2022/07/23 07:05:21 - mmengine - INFO - Epoch(train) [42][300/3757] lr: 1.0000e-03 eta: 1 day, 16:48:42 time: 0.6692 data_time: 0.3461 memory: 17350 grad_norm: 5.3978 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7568 loss: 1.7568 2022/07/23 07:05:34 - mmengine - INFO - Epoch(train) [42][320/3757] lr: 1.0000e-03 eta: 1 day, 16:48:28 time: 0.6418 data_time: 0.3121 memory: 17350 grad_norm: 5.3129 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3751 loss: 1.3751 2022/07/23 07:05:49 - mmengine - INFO - Epoch(train) [42][340/3757] lr: 1.0000e-03 eta: 1 day, 16:48:17 time: 0.7330 data_time: 0.4103 memory: 17350 grad_norm: 5.4911 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3725 loss: 1.3725 2022/07/23 07:06:00 - mmengine - INFO - Epoch(train) [42][360/3757] lr: 1.0000e-03 eta: 1 day, 16:48:02 time: 0.5877 data_time: 0.2632 memory: 17350 grad_norm: 5.6813 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4431 loss: 1.4431 2022/07/23 07:06:14 - mmengine - INFO - Epoch(train) [42][380/3757] lr: 1.0000e-03 eta: 1 day, 16:47:49 time: 0.6977 data_time: 0.3726 memory: 17350 grad_norm: 5.4129 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5841 loss: 1.5841 2022/07/23 07:06:26 - mmengine - INFO - Epoch(train) [42][400/3757] lr: 1.0000e-03 eta: 1 day, 16:47:34 time: 0.5937 data_time: 0.2628 memory: 17350 grad_norm: 5.5021 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4810 loss: 1.4810 2022/07/23 07:06:40 - mmengine - INFO - Epoch(train) [42][420/3757] lr: 1.0000e-03 eta: 1 day, 16:47:22 time: 0.7093 data_time: 0.3858 memory: 17350 grad_norm: 5.4104 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3345 loss: 1.3345 2022/07/23 07:06:53 - mmengine - INFO - Epoch(train) [42][440/3757] lr: 1.0000e-03 eta: 1 day, 16:47:07 time: 0.6153 data_time: 0.2866 memory: 17350 grad_norm: 5.2883 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6183 loss: 1.6183 2022/07/23 07:07:08 - mmengine - INFO - Epoch(train) [42][460/3757] lr: 1.0000e-03 eta: 1 day, 16:46:57 time: 0.7471 data_time: 0.4038 memory: 17350 grad_norm: 5.5191 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4989 loss: 1.4989 2022/07/23 07:07:20 - mmengine - INFO - Epoch(train) [42][480/3757] lr: 1.0000e-03 eta: 1 day, 16:46:42 time: 0.6181 data_time: 0.2870 memory: 17350 grad_norm: 5.4164 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2206 loss: 1.2206 2022/07/23 07:07:35 - mmengine - INFO - Epoch(train) [42][500/3757] lr: 1.0000e-03 eta: 1 day, 16:46:31 time: 0.7281 data_time: 0.3892 memory: 17350 grad_norm: 5.2629 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2721 loss: 1.2721 2022/07/23 07:07:47 - mmengine - INFO - Epoch(train) [42][520/3757] lr: 1.0000e-03 eta: 1 day, 16:46:16 time: 0.6116 data_time: 0.2749 memory: 17350 grad_norm: 5.5290 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7712 loss: 1.7712 2022/07/23 07:08:02 - mmengine - INFO - Epoch(train) [42][540/3757] lr: 1.0000e-03 eta: 1 day, 16:46:05 time: 0.7375 data_time: 0.4116 memory: 17350 grad_norm: 5.4137 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5357 loss: 1.5357 2022/07/23 07:08:14 - mmengine - INFO - Epoch(train) [42][560/3757] lr: 1.0000e-03 eta: 1 day, 16:45:51 time: 0.6386 data_time: 0.3015 memory: 17350 grad_norm: 5.4732 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4615 loss: 1.4615 2022/07/23 07:08:28 - mmengine - INFO - Epoch(train) [42][580/3757] lr: 1.0000e-03 eta: 1 day, 16:45:38 time: 0.6958 data_time: 0.3503 memory: 17350 grad_norm: 5.4523 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2627 loss: 1.2627 2022/07/23 07:08:40 - mmengine - INFO - Epoch(train) [42][600/3757] lr: 1.0000e-03 eta: 1 day, 16:45:23 time: 0.5816 data_time: 0.2560 memory: 17350 grad_norm: 5.4772 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3949 loss: 1.3949 2022/07/23 07:08:55 - mmengine - INFO - Epoch(train) [42][620/3757] lr: 1.0000e-03 eta: 1 day, 16:45:12 time: 0.7445 data_time: 0.4154 memory: 17350 grad_norm: 5.4869 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3470 loss: 1.3470 2022/07/23 07:09:07 - mmengine - INFO - Epoch(train) [42][640/3757] lr: 1.0000e-03 eta: 1 day, 16:44:57 time: 0.6076 data_time: 0.2794 memory: 17350 grad_norm: 5.6092 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5479 loss: 1.5479 2022/07/23 07:09:21 - mmengine - INFO - Epoch(train) [42][660/3757] lr: 1.0000e-03 eta: 1 day, 16:44:45 time: 0.7106 data_time: 0.3813 memory: 17350 grad_norm: 5.4059 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4848 loss: 1.4848 2022/07/23 07:09:34 - mmengine - INFO - Epoch(train) [42][680/3757] lr: 1.0000e-03 eta: 1 day, 16:44:30 time: 0.6170 data_time: 0.2783 memory: 17350 grad_norm: 5.3114 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3672 loss: 1.3672 2022/07/23 07:09:48 - mmengine - INFO - Epoch(train) [42][700/3757] lr: 1.0000e-03 eta: 1 day, 16:44:18 time: 0.7072 data_time: 0.3642 memory: 17350 grad_norm: 5.4012 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7276 loss: 1.7276 2022/07/23 07:10:00 - mmengine - INFO - Epoch(train) [42][720/3757] lr: 1.0000e-03 eta: 1 day, 16:44:03 time: 0.6089 data_time: 0.2806 memory: 17350 grad_norm: 5.4334 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2967 loss: 1.2967 2022/07/23 07:10:14 - mmengine - INFO - Epoch(train) [42][740/3757] lr: 1.0000e-03 eta: 1 day, 16:43:52 time: 0.7253 data_time: 0.3917 memory: 17350 grad_norm: 5.3771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5094 loss: 1.5094 2022/07/23 07:10:26 - mmengine - INFO - Epoch(train) [42][760/3757] lr: 1.0000e-03 eta: 1 day, 16:43:36 time: 0.5731 data_time: 0.2404 memory: 17350 grad_norm: 5.3139 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4951 loss: 1.4951 2022/07/23 07:10:41 - mmengine - INFO - Epoch(train) [42][780/3757] lr: 1.0000e-03 eta: 1 day, 16:43:26 time: 0.7638 data_time: 0.4386 memory: 17350 grad_norm: 5.6090 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4976 loss: 1.4976 2022/07/23 07:10:53 - mmengine - INFO - Epoch(train) [42][800/3757] lr: 1.0000e-03 eta: 1 day, 16:43:10 time: 0.5775 data_time: 0.2472 memory: 17350 grad_norm: 5.4399 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3635 loss: 1.3635 2022/07/23 07:11:08 - mmengine - INFO - Epoch(train) [42][820/3757] lr: 1.0000e-03 eta: 1 day, 16:42:59 time: 0.7391 data_time: 0.3979 memory: 17350 grad_norm: 5.4297 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3843 loss: 1.3843 2022/07/23 07:11:20 - mmengine - INFO - Epoch(train) [42][840/3757] lr: 1.0000e-03 eta: 1 day, 16:42:44 time: 0.6072 data_time: 0.2733 memory: 17350 grad_norm: 5.4554 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5750 loss: 1.5750 2022/07/23 07:11:34 - mmengine - INFO - Epoch(train) [42][860/3757] lr: 1.0000e-03 eta: 1 day, 16:42:33 time: 0.7380 data_time: 0.3941 memory: 17350 grad_norm: 5.5377 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2705 loss: 1.2705 2022/07/23 07:11:45 - mmengine - INFO - Epoch(train) [42][880/3757] lr: 1.0000e-03 eta: 1 day, 16:42:16 time: 0.5432 data_time: 0.2062 memory: 17350 grad_norm: 5.4463 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3109 loss: 1.3109 2022/07/23 07:12:00 - mmengine - INFO - Epoch(train) [42][900/3757] lr: 1.0000e-03 eta: 1 day, 16:42:04 time: 0.7228 data_time: 0.3607 memory: 17350 grad_norm: 5.4628 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4251 loss: 1.4251 2022/07/23 07:12:11 - mmengine - INFO - Epoch(train) [42][920/3757] lr: 1.0000e-03 eta: 1 day, 16:41:49 time: 0.5704 data_time: 0.1785 memory: 17350 grad_norm: 5.3086 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5310 loss: 1.5310 2022/07/23 07:12:26 - mmengine - INFO - Epoch(train) [42][940/3757] lr: 1.0000e-03 eta: 1 day, 16:41:37 time: 0.7329 data_time: 0.2580 memory: 17350 grad_norm: 5.3870 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2279 loss: 1.2279 2022/07/23 07:12:38 - mmengine - INFO - Epoch(train) [42][960/3757] lr: 1.0000e-03 eta: 1 day, 16:41:22 time: 0.6112 data_time: 0.2145 memory: 17350 grad_norm: 5.3114 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3445 loss: 1.3445 2022/07/23 07:12:40 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 07:12:52 - mmengine - INFO - Epoch(train) [42][980/3757] lr: 1.0000e-03 eta: 1 day, 16:41:10 time: 0.7069 data_time: 0.2036 memory: 17350 grad_norm: 5.1902 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2533 loss: 1.2533 2022/07/23 07:13:06 - mmengine - INFO - Epoch(train) [42][1000/3757] lr: 1.0000e-03 eta: 1 day, 16:40:57 time: 0.6662 data_time: 0.1904 memory: 17350 grad_norm: 5.4735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2067 loss: 1.2067 2022/07/23 07:13:20 - mmengine - INFO - Epoch(train) [42][1020/3757] lr: 1.0000e-03 eta: 1 day, 16:40:45 time: 0.7017 data_time: 0.1835 memory: 17350 grad_norm: 5.7696 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2165 loss: 1.2165 2022/07/23 07:13:33 - mmengine - INFO - Epoch(train) [42][1040/3757] lr: 1.0000e-03 eta: 1 day, 16:40:32 time: 0.6580 data_time: 0.1126 memory: 17350 grad_norm: 5.5413 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4496 loss: 1.4496 2022/07/23 07:13:46 - mmengine - INFO - Epoch(train) [42][1060/3757] lr: 1.0000e-03 eta: 1 day, 16:40:19 time: 0.6787 data_time: 0.0603 memory: 17350 grad_norm: 5.4532 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2882 loss: 1.2882 2022/07/23 07:13:59 - mmengine - INFO - Epoch(train) [42][1080/3757] lr: 1.0000e-03 eta: 1 day, 16:40:05 time: 0.6506 data_time: 0.0854 memory: 17350 grad_norm: 5.4565 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.4720 loss: 1.4720 2022/07/23 07:14:13 - mmengine - INFO - Epoch(train) [42][1100/3757] lr: 1.0000e-03 eta: 1 day, 16:39:53 time: 0.7020 data_time: 0.0266 memory: 17350 grad_norm: 5.4378 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6189 loss: 1.6189 2022/07/23 07:14:27 - mmengine - INFO - Epoch(train) [42][1120/3757] lr: 1.0000e-03 eta: 1 day, 16:39:39 time: 0.6569 data_time: 0.0225 memory: 17350 grad_norm: 5.4830 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6249 loss: 1.6249 2022/07/23 07:14:40 - mmengine - INFO - Epoch(train) [42][1140/3757] lr: 1.0000e-03 eta: 1 day, 16:39:26 time: 0.6614 data_time: 0.0216 memory: 17350 grad_norm: 5.4759 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3589 loss: 1.3589 2022/07/23 07:14:53 - mmengine - INFO - Epoch(train) [42][1160/3757] lr: 1.0000e-03 eta: 1 day, 16:39:12 time: 0.6366 data_time: 0.0217 memory: 17350 grad_norm: 5.4194 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3326 loss: 1.3326 2022/07/23 07:15:06 - mmengine - INFO - Epoch(train) [42][1180/3757] lr: 1.0000e-03 eta: 1 day, 16:38:59 time: 0.6819 data_time: 0.0232 memory: 17350 grad_norm: 5.4153 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5242 loss: 1.5242 2022/07/23 07:15:20 - mmengine - INFO - Epoch(train) [42][1200/3757] lr: 1.0000e-03 eta: 1 day, 16:38:46 time: 0.6741 data_time: 0.0222 memory: 17350 grad_norm: 5.7356 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7638 loss: 1.7638 2022/07/23 07:15:33 - mmengine - INFO - Epoch(train) [42][1220/3757] lr: 1.0000e-03 eta: 1 day, 16:38:33 time: 0.6635 data_time: 0.0240 memory: 17350 grad_norm: 5.4426 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3293 loss: 1.3293 2022/07/23 07:15:46 - mmengine - INFO - Epoch(train) [42][1240/3757] lr: 1.0000e-03 eta: 1 day, 16:38:19 time: 0.6491 data_time: 0.0229 memory: 17350 grad_norm: 5.6238 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3600 loss: 1.3600 2022/07/23 07:16:00 - mmengine - INFO - Epoch(train) [42][1260/3757] lr: 1.0000e-03 eta: 1 day, 16:38:07 time: 0.6919 data_time: 0.0230 memory: 17350 grad_norm: 5.4968 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4326 loss: 1.4326 2022/07/23 07:16:13 - mmengine - INFO - Epoch(train) [42][1280/3757] lr: 1.0000e-03 eta: 1 day, 16:37:53 time: 0.6513 data_time: 0.0244 memory: 17350 grad_norm: 5.6078 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3231 loss: 1.3231 2022/07/23 07:16:26 - mmengine - INFO - Epoch(train) [42][1300/3757] lr: 1.0000e-03 eta: 1 day, 16:37:40 time: 0.6768 data_time: 0.0243 memory: 17350 grad_norm: 5.5422 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3542 loss: 1.3542 2022/07/23 07:16:41 - mmengine - INFO - Epoch(train) [42][1320/3757] lr: 1.0000e-03 eta: 1 day, 16:37:29 time: 0.7450 data_time: 0.0227 memory: 17350 grad_norm: 5.4609 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3539 loss: 1.3539 2022/07/23 07:16:53 - mmengine - INFO - Epoch(train) [42][1340/3757] lr: 1.0000e-03 eta: 1 day, 16:37:14 time: 0.6004 data_time: 0.0251 memory: 17350 grad_norm: 5.5174 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6117 loss: 1.6117 2022/07/23 07:17:06 - mmengine - INFO - Epoch(train) [42][1360/3757] lr: 1.0000e-03 eta: 1 day, 16:37:01 time: 0.6535 data_time: 0.0239 memory: 17350 grad_norm: 5.3264 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2654 loss: 1.2654 2022/07/23 07:17:17 - mmengine - INFO - Epoch(train) [42][1380/3757] lr: 1.0000e-03 eta: 1 day, 16:36:44 time: 0.5506 data_time: 0.0222 memory: 17350 grad_norm: 5.1759 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4968 loss: 1.4968 2022/07/23 07:17:32 - mmengine - INFO - Epoch(train) [42][1400/3757] lr: 1.0000e-03 eta: 1 day, 16:36:33 time: 0.7237 data_time: 0.0226 memory: 17350 grad_norm: 5.4921 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5060 loss: 1.5060 2022/07/23 07:17:45 - mmengine - INFO - Epoch(train) [42][1420/3757] lr: 1.0000e-03 eta: 1 day, 16:36:19 time: 0.6370 data_time: 0.0225 memory: 17350 grad_norm: 5.4335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5099 loss: 1.5099 2022/07/23 07:18:00 - mmengine - INFO - Epoch(train) [42][1440/3757] lr: 1.0000e-03 eta: 1 day, 16:36:08 time: 0.7630 data_time: 0.0229 memory: 17350 grad_norm: 5.4420 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4017 loss: 1.4017 2022/07/23 07:18:11 - mmengine - INFO - Epoch(train) [42][1460/3757] lr: 1.0000e-03 eta: 1 day, 16:35:52 time: 0.5620 data_time: 0.0221 memory: 17350 grad_norm: 5.5419 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5341 loss: 1.5341 2022/07/23 07:18:25 - mmengine - INFO - Epoch(train) [42][1480/3757] lr: 1.0000e-03 eta: 1 day, 16:35:40 time: 0.7022 data_time: 0.0225 memory: 17350 grad_norm: 5.4868 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4489 loss: 1.4489 2022/07/23 07:18:38 - mmengine - INFO - Epoch(train) [42][1500/3757] lr: 1.0000e-03 eta: 1 day, 16:35:26 time: 0.6573 data_time: 0.0224 memory: 17350 grad_norm: 5.3295 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4868 loss: 1.4868 2022/07/23 07:18:51 - mmengine - INFO - Epoch(train) [42][1520/3757] lr: 1.0000e-03 eta: 1 day, 16:35:12 time: 0.6354 data_time: 0.0196 memory: 17350 grad_norm: 5.2864 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2556 loss: 1.2556 2022/07/23 07:19:06 - mmengine - INFO - Epoch(train) [42][1540/3757] lr: 1.0000e-03 eta: 1 day, 16:35:01 time: 0.7271 data_time: 0.0225 memory: 17350 grad_norm: 5.5609 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4481 loss: 1.4481 2022/07/23 07:19:18 - mmengine - INFO - Epoch(train) [42][1560/3757] lr: 1.0000e-03 eta: 1 day, 16:34:46 time: 0.6027 data_time: 0.0238 memory: 17350 grad_norm: 5.4367 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4270 loss: 1.4270 2022/07/23 07:19:32 - mmengine - INFO - Epoch(train) [42][1580/3757] lr: 1.0000e-03 eta: 1 day, 16:34:34 time: 0.7169 data_time: 0.0224 memory: 17350 grad_norm: 5.4460 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6775 loss: 1.6775 2022/07/23 07:19:44 - mmengine - INFO - Epoch(train) [42][1600/3757] lr: 1.0000e-03 eta: 1 day, 16:34:19 time: 0.6192 data_time: 0.0279 memory: 17350 grad_norm: 5.4142 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2374 loss: 1.2374 2022/07/23 07:19:59 - mmengine - INFO - Epoch(train) [42][1620/3757] lr: 1.0000e-03 eta: 1 day, 16:34:08 time: 0.7165 data_time: 0.0234 memory: 17350 grad_norm: 5.6415 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4692 loss: 1.4692 2022/07/23 07:20:12 - mmengine - INFO - Epoch(train) [42][1640/3757] lr: 1.0000e-03 eta: 1 day, 16:33:54 time: 0.6539 data_time: 0.0227 memory: 17350 grad_norm: 5.5453 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4740 loss: 1.4740 2022/07/23 07:20:26 - mmengine - INFO - Epoch(train) [42][1660/3757] lr: 1.0000e-03 eta: 1 day, 16:33:42 time: 0.6896 data_time: 0.0221 memory: 17350 grad_norm: 5.3366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3126 loss: 1.3126 2022/07/23 07:20:39 - mmengine - INFO - Epoch(train) [42][1680/3757] lr: 1.0000e-03 eta: 1 day, 16:33:28 time: 0.6426 data_time: 0.0256 memory: 17350 grad_norm: 5.5658 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2228 loss: 1.2228 2022/07/23 07:20:52 - mmengine - INFO - Epoch(train) [42][1700/3757] lr: 1.0000e-03 eta: 1 day, 16:33:15 time: 0.6946 data_time: 0.0214 memory: 17350 grad_norm: 5.5202 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4504 loss: 1.4504 2022/07/23 07:21:05 - mmengine - INFO - Epoch(train) [42][1720/3757] lr: 1.0000e-03 eta: 1 day, 16:33:00 time: 0.6048 data_time: 0.0238 memory: 17350 grad_norm: 5.5821 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4247 loss: 1.4247 2022/07/23 07:21:19 - mmengine - INFO - Epoch(train) [42][1740/3757] lr: 1.0000e-03 eta: 1 day, 16:32:49 time: 0.7237 data_time: 0.0239 memory: 17350 grad_norm: 5.5257 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2565 loss: 1.2565 2022/07/23 07:21:31 - mmengine - INFO - Epoch(train) [42][1760/3757] lr: 1.0000e-03 eta: 1 day, 16:32:34 time: 0.6002 data_time: 0.0267 memory: 17350 grad_norm: 5.5037 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5965 loss: 1.5965 2022/07/23 07:21:46 - mmengine - INFO - Epoch(train) [42][1780/3757] lr: 1.0000e-03 eta: 1 day, 16:32:22 time: 0.7246 data_time: 0.0219 memory: 17350 grad_norm: 5.3266 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3119 loss: 1.3119 2022/07/23 07:21:57 - mmengine - INFO - Epoch(train) [42][1800/3757] lr: 1.0000e-03 eta: 1 day, 16:32:06 time: 0.5682 data_time: 0.0403 memory: 17350 grad_norm: 5.5415 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8233 loss: 1.8233 2022/07/23 07:22:11 - mmengine - INFO - Epoch(train) [42][1820/3757] lr: 1.0000e-03 eta: 1 day, 16:31:54 time: 0.6929 data_time: 0.1249 memory: 17350 grad_norm: 5.4498 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3877 loss: 1.3877 2022/07/23 07:22:24 - mmengine - INFO - Epoch(train) [42][1840/3757] lr: 1.0000e-03 eta: 1 day, 16:31:41 time: 0.6777 data_time: 0.2617 memory: 17350 grad_norm: 5.5118 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6244 loss: 1.6244 2022/07/23 07:22:38 - mmengine - INFO - Epoch(train) [42][1860/3757] lr: 1.0000e-03 eta: 1 day, 16:31:27 time: 0.6560 data_time: 0.1486 memory: 17350 grad_norm: 5.5758 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4420 loss: 1.4420 2022/07/23 07:22:51 - mmengine - INFO - Epoch(train) [42][1880/3757] lr: 1.0000e-03 eta: 1 day, 16:31:14 time: 0.6600 data_time: 0.0653 memory: 17350 grad_norm: 5.2564 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2349 loss: 1.2349 2022/07/23 07:23:05 - mmengine - INFO - Epoch(train) [42][1900/3757] lr: 1.0000e-03 eta: 1 day, 16:31:02 time: 0.7076 data_time: 0.0554 memory: 17350 grad_norm: 5.4539 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4418 loss: 1.4418 2022/07/23 07:23:17 - mmengine - INFO - Epoch(train) [42][1920/3757] lr: 1.0000e-03 eta: 1 day, 16:30:47 time: 0.6133 data_time: 0.0223 memory: 17350 grad_norm: 5.1752 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3391 loss: 1.3391 2022/07/23 07:23:32 - mmengine - INFO - Epoch(train) [42][1940/3757] lr: 1.0000e-03 eta: 1 day, 16:30:36 time: 0.7176 data_time: 0.0209 memory: 17350 grad_norm: 5.4774 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4451 loss: 1.4451 2022/07/23 07:23:44 - mmengine - INFO - Epoch(train) [42][1960/3757] lr: 1.0000e-03 eta: 1 day, 16:30:22 time: 0.6392 data_time: 0.0225 memory: 17350 grad_norm: 5.6022 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4029 loss: 1.4029 2022/07/23 07:23:48 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 07:23:58 - mmengine - INFO - Epoch(train) [42][1980/3757] lr: 1.0000e-03 eta: 1 day, 16:30:10 time: 0.7072 data_time: 0.0220 memory: 17350 grad_norm: 5.5730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3574 loss: 1.3574 2022/07/23 07:24:11 - mmengine - INFO - Epoch(train) [42][2000/3757] lr: 1.0000e-03 eta: 1 day, 16:29:55 time: 0.6170 data_time: 0.0263 memory: 17350 grad_norm: 5.3531 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3388 loss: 1.3388 2022/07/23 07:24:26 - mmengine - INFO - Epoch(train) [42][2020/3757] lr: 1.0000e-03 eta: 1 day, 16:29:44 time: 0.7464 data_time: 0.0209 memory: 17350 grad_norm: 5.4698 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2990 loss: 1.2990 2022/07/23 07:24:38 - mmengine - INFO - Epoch(train) [42][2040/3757] lr: 1.0000e-03 eta: 1 day, 16:29:29 time: 0.6016 data_time: 0.0256 memory: 17350 grad_norm: 5.5866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1835 loss: 1.1835 2022/07/23 07:24:53 - mmengine - INFO - Epoch(train) [42][2060/3757] lr: 1.0000e-03 eta: 1 day, 16:29:18 time: 0.7366 data_time: 0.0195 memory: 17350 grad_norm: 5.5076 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4888 loss: 1.4888 2022/07/23 07:25:05 - mmengine - INFO - Epoch(train) [42][2080/3757] lr: 1.0000e-03 eta: 1 day, 16:29:03 time: 0.6173 data_time: 0.0257 memory: 17350 grad_norm: 5.3722 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2002 loss: 1.2002 2022/07/23 07:25:19 - mmengine - INFO - Epoch(train) [42][2100/3757] lr: 1.0000e-03 eta: 1 day, 16:28:50 time: 0.6847 data_time: 0.0209 memory: 17350 grad_norm: 5.3413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4228 loss: 1.4228 2022/07/23 07:25:31 - mmengine - INFO - Epoch(train) [42][2120/3757] lr: 1.0000e-03 eta: 1 day, 16:28:35 time: 0.6030 data_time: 0.0250 memory: 17350 grad_norm: 5.4253 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4462 loss: 1.4462 2022/07/23 07:25:46 - mmengine - INFO - Epoch(train) [42][2140/3757] lr: 1.0000e-03 eta: 1 day, 16:28:25 time: 0.7506 data_time: 0.0220 memory: 17350 grad_norm: 5.6443 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3762 loss: 1.3762 2022/07/23 07:25:58 - mmengine - INFO - Epoch(train) [42][2160/3757] lr: 1.0000e-03 eta: 1 day, 16:28:09 time: 0.5954 data_time: 0.0235 memory: 17350 grad_norm: 5.4352 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2951 loss: 1.2951 2022/07/23 07:26:11 - mmengine - INFO - Epoch(train) [42][2180/3757] lr: 1.0000e-03 eta: 1 day, 16:27:57 time: 0.6794 data_time: 0.0238 memory: 17350 grad_norm: 5.3034 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3210 loss: 1.3210 2022/07/23 07:26:25 - mmengine - INFO - Epoch(train) [42][2200/3757] lr: 1.0000e-03 eta: 1 day, 16:27:44 time: 0.6840 data_time: 0.1051 memory: 17350 grad_norm: 5.4085 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3864 loss: 1.3864 2022/07/23 07:26:37 - mmengine - INFO - Epoch(train) [42][2220/3757] lr: 1.0000e-03 eta: 1 day, 16:27:29 time: 0.6139 data_time: 0.1384 memory: 17350 grad_norm: 5.4424 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5367 loss: 1.5367 2022/07/23 07:26:51 - mmengine - INFO - Epoch(train) [42][2240/3757] lr: 1.0000e-03 eta: 1 day, 16:27:17 time: 0.7111 data_time: 0.1496 memory: 17350 grad_norm: 5.4701 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3260 loss: 1.3260 2022/07/23 07:27:05 - mmengine - INFO - Epoch(train) [42][2260/3757] lr: 1.0000e-03 eta: 1 day, 16:27:04 time: 0.6578 data_time: 0.0418 memory: 17350 grad_norm: 5.4820 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3412 loss: 1.3412 2022/07/23 07:27:17 - mmengine - INFO - Epoch(train) [42][2280/3757] lr: 1.0000e-03 eta: 1 day, 16:26:50 time: 0.6402 data_time: 0.0228 memory: 17350 grad_norm: 5.5050 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4958 loss: 1.4958 2022/07/23 07:27:31 - mmengine - INFO - Epoch(train) [42][2300/3757] lr: 1.0000e-03 eta: 1 day, 16:26:37 time: 0.6886 data_time: 0.0483 memory: 17350 grad_norm: 5.3320 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5186 loss: 1.5186 2022/07/23 07:27:44 - mmengine - INFO - Epoch(train) [42][2320/3757] lr: 1.0000e-03 eta: 1 day, 16:26:23 time: 0.6268 data_time: 0.0224 memory: 17350 grad_norm: 5.8444 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3304 loss: 1.3304 2022/07/23 07:27:58 - mmengine - INFO - Epoch(train) [42][2340/3757] lr: 1.0000e-03 eta: 1 day, 16:26:11 time: 0.7058 data_time: 0.0215 memory: 17350 grad_norm: 5.2391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4734 loss: 1.4734 2022/07/23 07:28:10 - mmengine - INFO - Epoch(train) [42][2360/3757] lr: 1.0000e-03 eta: 1 day, 16:25:57 time: 0.6240 data_time: 0.0236 memory: 17350 grad_norm: 5.7162 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3630 loss: 1.3630 2022/07/23 07:28:23 - mmengine - INFO - Epoch(train) [42][2380/3757] lr: 1.0000e-03 eta: 1 day, 16:25:42 time: 0.6307 data_time: 0.0209 memory: 17350 grad_norm: 5.7568 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3873 loss: 1.3873 2022/07/23 07:28:37 - mmengine - INFO - Epoch(train) [42][2400/3757] lr: 1.0000e-03 eta: 1 day, 16:25:30 time: 0.6915 data_time: 0.0231 memory: 17350 grad_norm: 5.4640 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1066 loss: 1.1066 2022/07/23 07:28:51 - mmengine - INFO - Epoch(train) [42][2420/3757] lr: 1.0000e-03 eta: 1 day, 16:25:18 time: 0.7132 data_time: 0.0236 memory: 17350 grad_norm: 5.5068 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3479 loss: 1.3479 2022/07/23 07:29:03 - mmengine - INFO - Epoch(train) [42][2440/3757] lr: 1.0000e-03 eta: 1 day, 16:25:03 time: 0.6137 data_time: 0.0245 memory: 17350 grad_norm: 5.5156 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5340 loss: 1.5340 2022/07/23 07:29:17 - mmengine - INFO - Epoch(train) [42][2460/3757] lr: 1.0000e-03 eta: 1 day, 16:24:51 time: 0.6935 data_time: 0.0207 memory: 17350 grad_norm: 5.4332 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1974 loss: 1.1974 2022/07/23 07:29:30 - mmengine - INFO - Epoch(train) [42][2480/3757] lr: 1.0000e-03 eta: 1 day, 16:24:37 time: 0.6592 data_time: 0.0234 memory: 17350 grad_norm: 5.3203 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5059 loss: 1.5059 2022/07/23 07:29:44 - mmengine - INFO - Epoch(train) [42][2500/3757] lr: 1.0000e-03 eta: 1 day, 16:24:25 time: 0.7025 data_time: 0.0225 memory: 17350 grad_norm: 5.7212 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4908 loss: 1.4908 2022/07/23 07:29:57 - mmengine - INFO - Epoch(train) [42][2520/3757] lr: 1.0000e-03 eta: 1 day, 16:24:11 time: 0.6455 data_time: 0.0246 memory: 17350 grad_norm: 5.6498 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6201 loss: 1.6201 2022/07/23 07:30:11 - mmengine - INFO - Epoch(train) [42][2540/3757] lr: 1.0000e-03 eta: 1 day, 16:23:59 time: 0.6910 data_time: 0.0201 memory: 17350 grad_norm: 5.4508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2912 loss: 1.2912 2022/07/23 07:30:24 - mmengine - INFO - Epoch(train) [42][2560/3757] lr: 1.0000e-03 eta: 1 day, 16:23:45 time: 0.6460 data_time: 0.0234 memory: 17350 grad_norm: 5.7071 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4292 loss: 1.4292 2022/07/23 07:30:38 - mmengine - INFO - Epoch(train) [42][2580/3757] lr: 1.0000e-03 eta: 1 day, 16:23:32 time: 0.6683 data_time: 0.0242 memory: 17350 grad_norm: 5.4833 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4896 loss: 1.4896 2022/07/23 07:30:51 - mmengine - INFO - Epoch(train) [42][2600/3757] lr: 1.0000e-03 eta: 1 day, 16:23:19 time: 0.6900 data_time: 0.0216 memory: 17350 grad_norm: 5.5515 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5228 loss: 1.5228 2022/07/23 07:31:04 - mmengine - INFO - Epoch(train) [42][2620/3757] lr: 1.0000e-03 eta: 1 day, 16:23:06 time: 0.6428 data_time: 0.0225 memory: 17350 grad_norm: 5.5493 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5392 loss: 1.5392 2022/07/23 07:31:18 - mmengine - INFO - Epoch(train) [42][2640/3757] lr: 1.0000e-03 eta: 1 day, 16:22:53 time: 0.6881 data_time: 0.0225 memory: 17350 grad_norm: 5.7208 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3841 loss: 1.3841 2022/07/23 07:31:32 - mmengine - INFO - Epoch(train) [42][2660/3757] lr: 1.0000e-03 eta: 1 day, 16:22:40 time: 0.6777 data_time: 0.0226 memory: 17350 grad_norm: 5.4312 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4659 loss: 1.4659 2022/07/23 07:31:45 - mmengine - INFO - Epoch(train) [42][2680/3757] lr: 1.0000e-03 eta: 1 day, 16:22:27 time: 0.6662 data_time: 0.0242 memory: 17350 grad_norm: 5.3385 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2893 loss: 1.2893 2022/07/23 07:31:57 - mmengine - INFO - Epoch(train) [42][2700/3757] lr: 1.0000e-03 eta: 1 day, 16:22:12 time: 0.6029 data_time: 0.0223 memory: 17350 grad_norm: 5.7044 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4074 loss: 1.4074 2022/07/23 07:32:11 - mmengine - INFO - Epoch(train) [42][2720/3757] lr: 1.0000e-03 eta: 1 day, 16:21:59 time: 0.6828 data_time: 0.0222 memory: 17350 grad_norm: 5.6030 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5384 loss: 1.5384 2022/07/23 07:32:24 - mmengine - INFO - Epoch(train) [42][2740/3757] lr: 1.0000e-03 eta: 1 day, 16:21:47 time: 0.6870 data_time: 0.0220 memory: 17350 grad_norm: 5.0570 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0802 loss: 1.0802 2022/07/23 07:32:37 - mmengine - INFO - Epoch(train) [42][2760/3757] lr: 1.0000e-03 eta: 1 day, 16:21:33 time: 0.6354 data_time: 0.0237 memory: 17350 grad_norm: 5.7138 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5140 loss: 1.5140 2022/07/23 07:32:51 - mmengine - INFO - Epoch(train) [42][2780/3757] lr: 1.0000e-03 eta: 1 day, 16:21:20 time: 0.6751 data_time: 0.0238 memory: 17350 grad_norm: 5.4767 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4095 loss: 1.4095 2022/07/23 07:33:03 - mmengine - INFO - Epoch(train) [42][2800/3757] lr: 1.0000e-03 eta: 1 day, 16:21:06 time: 0.6360 data_time: 0.0225 memory: 17350 grad_norm: 5.5709 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5867 loss: 1.5867 2022/07/23 07:33:17 - mmengine - INFO - Epoch(train) [42][2820/3757] lr: 1.0000e-03 eta: 1 day, 16:20:53 time: 0.6850 data_time: 0.0224 memory: 17350 grad_norm: 5.5686 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2221 loss: 1.2221 2022/07/23 07:33:30 - mmengine - INFO - Epoch(train) [42][2840/3757] lr: 1.0000e-03 eta: 1 day, 16:20:39 time: 0.6350 data_time: 0.0223 memory: 17350 grad_norm: 5.6375 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7250 loss: 1.7250 2022/07/23 07:33:44 - mmengine - INFO - Epoch(train) [42][2860/3757] lr: 1.0000e-03 eta: 1 day, 16:20:27 time: 0.6999 data_time: 0.0212 memory: 17350 grad_norm: 5.4365 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6370 loss: 1.6370 2022/07/23 07:33:57 - mmengine - INFO - Epoch(train) [42][2880/3757] lr: 1.0000e-03 eta: 1 day, 16:20:13 time: 0.6646 data_time: 0.0216 memory: 17350 grad_norm: 5.5839 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4859 loss: 1.4859 2022/07/23 07:34:11 - mmengine - INFO - Epoch(train) [42][2900/3757] lr: 1.0000e-03 eta: 1 day, 16:20:01 time: 0.6829 data_time: 0.0229 memory: 17350 grad_norm: 5.5074 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5602 loss: 1.5602 2022/07/23 07:34:23 - mmengine - INFO - Epoch(train) [42][2920/3757] lr: 1.0000e-03 eta: 1 day, 16:19:46 time: 0.6172 data_time: 0.0207 memory: 17350 grad_norm: 5.2018 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3491 loss: 1.3491 2022/07/23 07:34:36 - mmengine - INFO - Epoch(train) [42][2940/3757] lr: 1.0000e-03 eta: 1 day, 16:19:33 time: 0.6613 data_time: 0.0231 memory: 17350 grad_norm: 5.5674 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4205 loss: 1.4205 2022/07/23 07:34:50 - mmengine - INFO - Epoch(train) [42][2960/3757] lr: 1.0000e-03 eta: 1 day, 16:19:20 time: 0.7050 data_time: 0.0225 memory: 17350 grad_norm: 5.5320 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4223 loss: 1.4223 2022/07/23 07:34:52 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 07:35:04 - mmengine - INFO - Epoch(train) [42][2980/3757] lr: 1.0000e-03 eta: 1 day, 16:19:07 time: 0.6569 data_time: 0.0217 memory: 17350 grad_norm: 5.5318 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4556 loss: 1.4556 2022/07/23 07:35:17 - mmengine - INFO - Epoch(train) [42][3000/3757] lr: 1.0000e-03 eta: 1 day, 16:18:54 time: 0.6611 data_time: 0.0606 memory: 17350 grad_norm: 5.3035 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2176 loss: 1.2176 2022/07/23 07:35:30 - mmengine - INFO - Epoch(train) [42][3020/3757] lr: 1.0000e-03 eta: 1 day, 16:18:40 time: 0.6469 data_time: 0.1007 memory: 17350 grad_norm: 5.4916 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2471 loss: 1.2471 2022/07/23 07:35:44 - mmengine - INFO - Epoch(train) [42][3040/3757] lr: 1.0000e-03 eta: 1 day, 16:18:28 time: 0.7234 data_time: 0.2115 memory: 17350 grad_norm: 5.4427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3460 loss: 1.3460 2022/07/23 07:35:56 - mmengine - INFO - Epoch(train) [42][3060/3757] lr: 1.0000e-03 eta: 1 day, 16:18:13 time: 0.6000 data_time: 0.0754 memory: 17350 grad_norm: 5.6323 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3869 loss: 1.3869 2022/07/23 07:36:10 - mmengine - INFO - Epoch(train) [42][3080/3757] lr: 1.0000e-03 eta: 1 day, 16:18:01 time: 0.6859 data_time: 0.0376 memory: 17350 grad_norm: 5.5075 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5202 loss: 1.5202 2022/07/23 07:36:23 - mmengine - INFO - Epoch(train) [42][3100/3757] lr: 1.0000e-03 eta: 1 day, 16:17:47 time: 0.6562 data_time: 0.0213 memory: 17350 grad_norm: 5.3873 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2449 loss: 1.2449 2022/07/23 07:36:37 - mmengine - INFO - Epoch(train) [42][3120/3757] lr: 1.0000e-03 eta: 1 day, 16:17:34 time: 0.6813 data_time: 0.0338 memory: 17350 grad_norm: 5.4429 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2638 loss: 1.2638 2022/07/23 07:36:50 - mmengine - INFO - Epoch(train) [42][3140/3757] lr: 1.0000e-03 eta: 1 day, 16:17:21 time: 0.6706 data_time: 0.0219 memory: 17350 grad_norm: 5.4672 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3670 loss: 1.3670 2022/07/23 07:37:04 - mmengine - INFO - Epoch(train) [42][3160/3757] lr: 1.0000e-03 eta: 1 day, 16:17:08 time: 0.6741 data_time: 0.0226 memory: 17350 grad_norm: 5.5354 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2053 loss: 1.2053 2022/07/23 07:37:18 - mmengine - INFO - Epoch(train) [42][3180/3757] lr: 1.0000e-03 eta: 1 day, 16:16:56 time: 0.6950 data_time: 0.0236 memory: 17350 grad_norm: 5.6856 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2440 loss: 1.2440 2022/07/23 07:37:30 - mmengine - INFO - Epoch(train) [42][3200/3757] lr: 1.0000e-03 eta: 1 day, 16:16:41 time: 0.6081 data_time: 0.0195 memory: 17350 grad_norm: 5.4020 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4797 loss: 1.4797 2022/07/23 07:37:45 - mmengine - INFO - Epoch(train) [42][3220/3757] lr: 1.0000e-03 eta: 1 day, 16:16:30 time: 0.7401 data_time: 0.0223 memory: 17350 grad_norm: 5.4449 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4012 loss: 1.4012 2022/07/23 07:37:56 - mmengine - INFO - Epoch(train) [42][3240/3757] lr: 1.0000e-03 eta: 1 day, 16:16:14 time: 0.5732 data_time: 0.0344 memory: 17350 grad_norm: 5.5862 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4534 loss: 1.4534 2022/07/23 07:38:11 - mmengine - INFO - Epoch(train) [42][3260/3757] lr: 1.0000e-03 eta: 1 day, 16:16:03 time: 0.7284 data_time: 0.0224 memory: 17350 grad_norm: 5.3986 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4245 loss: 1.4245 2022/07/23 07:38:22 - mmengine - INFO - Epoch(train) [42][3280/3757] lr: 1.0000e-03 eta: 1 day, 16:15:47 time: 0.5825 data_time: 0.0214 memory: 17350 grad_norm: 5.8007 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3255 loss: 1.3255 2022/07/23 07:38:37 - mmengine - INFO - Epoch(train) [42][3300/3757] lr: 1.0000e-03 eta: 1 day, 16:15:36 time: 0.7363 data_time: 0.0260 memory: 17350 grad_norm: 5.6884 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4130 loss: 1.4130 2022/07/23 07:38:50 - mmengine - INFO - Epoch(train) [42][3320/3757] lr: 1.0000e-03 eta: 1 day, 16:15:22 time: 0.6262 data_time: 0.0221 memory: 17350 grad_norm: 5.7340 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5879 loss: 1.5879 2022/07/23 07:39:04 - mmengine - INFO - Epoch(train) [42][3340/3757] lr: 1.0000e-03 eta: 1 day, 16:15:10 time: 0.7156 data_time: 0.0254 memory: 17350 grad_norm: 5.5950 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6782 loss: 1.6782 2022/07/23 07:39:17 - mmengine - INFO - Epoch(train) [42][3360/3757] lr: 1.0000e-03 eta: 1 day, 16:14:57 time: 0.6771 data_time: 0.0275 memory: 17350 grad_norm: 5.3858 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5922 loss: 1.5922 2022/07/23 07:39:30 - mmengine - INFO - Epoch(train) [42][3380/3757] lr: 1.0000e-03 eta: 1 day, 16:14:43 time: 0.6460 data_time: 0.0238 memory: 17350 grad_norm: 5.4901 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4773 loss: 1.4773 2022/07/23 07:39:44 - mmengine - INFO - Epoch(train) [42][3400/3757] lr: 1.0000e-03 eta: 1 day, 16:14:30 time: 0.6663 data_time: 0.0210 memory: 17350 grad_norm: 5.8139 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4903 loss: 1.4903 2022/07/23 07:39:57 - mmengine - INFO - Epoch(train) [42][3420/3757] lr: 1.0000e-03 eta: 1 day, 16:14:17 time: 0.6819 data_time: 0.0248 memory: 17350 grad_norm: 5.6961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5643 loss: 1.5643 2022/07/23 07:40:10 - mmengine - INFO - Epoch(train) [42][3440/3757] lr: 1.0000e-03 eta: 1 day, 16:14:04 time: 0.6563 data_time: 0.0226 memory: 17350 grad_norm: 5.5863 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2896 loss: 1.2896 2022/07/23 07:40:25 - mmengine - INFO - Epoch(train) [42][3460/3757] lr: 1.0000e-03 eta: 1 day, 16:13:52 time: 0.7205 data_time: 0.0217 memory: 17350 grad_norm: 5.4314 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3009 loss: 1.3009 2022/07/23 07:40:38 - mmengine - INFO - Epoch(train) [42][3480/3757] lr: 1.0000e-03 eta: 1 day, 16:13:38 time: 0.6491 data_time: 0.0235 memory: 17350 grad_norm: 5.7079 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2745 loss: 1.2745 2022/07/23 07:40:52 - mmengine - INFO - Epoch(train) [42][3500/3757] lr: 1.0000e-03 eta: 1 day, 16:13:26 time: 0.7057 data_time: 0.0229 memory: 17350 grad_norm: 5.4289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4379 loss: 1.4379 2022/07/23 07:41:04 - mmengine - INFO - Epoch(train) [42][3520/3757] lr: 1.0000e-03 eta: 1 day, 16:13:11 time: 0.6038 data_time: 0.0231 memory: 17350 grad_norm: 5.4912 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4766 loss: 1.4766 2022/07/23 07:41:19 - mmengine - INFO - Epoch(train) [42][3540/3757] lr: 1.0000e-03 eta: 1 day, 16:13:00 time: 0.7436 data_time: 0.0236 memory: 17350 grad_norm: 5.7376 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4772 loss: 1.4772 2022/07/23 07:41:31 - mmengine - INFO - Epoch(train) [42][3560/3757] lr: 1.0000e-03 eta: 1 day, 16:12:45 time: 0.5905 data_time: 0.0239 memory: 17350 grad_norm: 5.6625 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3390 loss: 1.3390 2022/07/23 07:41:45 - mmengine - INFO - Epoch(train) [42][3580/3757] lr: 1.0000e-03 eta: 1 day, 16:12:33 time: 0.7120 data_time: 0.0216 memory: 17350 grad_norm: 5.6628 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4787 loss: 1.4787 2022/07/23 07:41:58 - mmengine - INFO - Epoch(train) [42][3600/3757] lr: 1.0000e-03 eta: 1 day, 16:12:19 time: 0.6316 data_time: 0.0259 memory: 17350 grad_norm: 5.6093 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4899 loss: 1.4899 2022/07/23 07:42:12 - mmengine - INFO - Epoch(train) [42][3620/3757] lr: 1.0000e-03 eta: 1 day, 16:12:06 time: 0.6924 data_time: 0.0216 memory: 17350 grad_norm: 5.4713 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2265 loss: 1.2265 2022/07/23 07:42:24 - mmengine - INFO - Epoch(train) [42][3640/3757] lr: 1.0000e-03 eta: 1 day, 16:11:51 time: 0.6123 data_time: 0.0228 memory: 17350 grad_norm: 5.4580 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3180 loss: 1.3180 2022/07/23 07:42:38 - mmengine - INFO - Epoch(train) [42][3660/3757] lr: 1.0000e-03 eta: 1 day, 16:11:40 time: 0.7171 data_time: 0.0232 memory: 17350 grad_norm: 5.4654 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5256 loss: 1.5256 2022/07/23 07:42:50 - mmengine - INFO - Epoch(train) [42][3680/3757] lr: 1.0000e-03 eta: 1 day, 16:11:24 time: 0.5882 data_time: 0.0226 memory: 17350 grad_norm: 5.5178 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4173 loss: 1.4173 2022/07/23 07:43:05 - mmengine - INFO - Epoch(train) [42][3700/3757] lr: 1.0000e-03 eta: 1 day, 16:11:13 time: 0.7406 data_time: 0.0227 memory: 17350 grad_norm: 5.6344 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3220 loss: 1.3220 2022/07/23 07:43:16 - mmengine - INFO - Epoch(train) [42][3720/3757] lr: 1.0000e-03 eta: 1 day, 16:10:58 time: 0.5879 data_time: 0.0251 memory: 17350 grad_norm: 5.3792 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1428 loss: 1.1428 2022/07/23 07:43:31 - mmengine - INFO - Epoch(train) [42][3740/3757] lr: 1.0000e-03 eta: 1 day, 16:10:47 time: 0.7426 data_time: 0.0226 memory: 17350 grad_norm: 5.6550 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5734 loss: 1.5734 2022/07/23 07:43:39 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 07:43:39 - mmengine - INFO - Epoch(train) [42][3757/3757] lr: 1.0000e-03 eta: 1 day, 16:10:47 time: 0.5560 data_time: 0.0220 memory: 17350 grad_norm: 5.5292 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.3972 loss: 1.3972 2022/07/23 07:43:56 - mmengine - INFO - Epoch(val) [42][20/310] eta: 0:04:06 time: 0.8508 data_time: 0.7348 memory: 3406 2022/07/23 07:44:07 - mmengine - INFO - Epoch(val) [42][40/310] eta: 0:02:28 time: 0.5495 data_time: 0.4369 memory: 3406 2022/07/23 07:44:21 - mmengine - INFO - Epoch(val) [42][60/310] eta: 0:03:01 time: 0.7258 data_time: 0.6118 memory: 3406 2022/07/23 07:44:33 - mmengine - INFO - Epoch(val) [42][80/310] eta: 0:02:12 time: 0.5754 data_time: 0.4609 memory: 3406 2022/07/23 07:44:47 - mmengine - INFO - Epoch(val) [42][100/310] eta: 0:02:34 time: 0.7347 data_time: 0.6206 memory: 3406 2022/07/23 07:44:59 - mmengine - INFO - Epoch(val) [42][120/310] eta: 0:01:49 time: 0.5759 data_time: 0.4628 memory: 3406 2022/07/23 07:45:15 - mmengine - INFO - Epoch(val) [42][140/310] eta: 0:02:18 time: 0.8127 data_time: 0.7000 memory: 3406 2022/07/23 07:45:26 - mmengine - INFO - Epoch(val) [42][160/310] eta: 0:01:20 time: 0.5334 data_time: 0.4134 memory: 3406 2022/07/23 07:45:41 - mmengine - INFO - Epoch(val) [42][180/310] eta: 0:01:36 time: 0.7454 data_time: 0.6301 memory: 3406 2022/07/23 07:45:52 - mmengine - INFO - Epoch(val) [42][200/310] eta: 0:00:59 time: 0.5429 data_time: 0.4313 memory: 3406 2022/07/23 07:46:07 - mmengine - INFO - Epoch(val) [42][220/310] eta: 0:01:09 time: 0.7703 data_time: 0.6501 memory: 3406 2022/07/23 07:46:19 - mmengine - INFO - Epoch(val) [42][240/310] eta: 0:00:40 time: 0.5797 data_time: 0.4676 memory: 3406 2022/07/23 07:46:33 - mmengine - INFO - Epoch(val) [42][260/310] eta: 0:00:36 time: 0.7202 data_time: 0.6061 memory: 3406 2022/07/23 07:46:44 - mmengine - INFO - Epoch(val) [42][280/310] eta: 0:00:17 time: 0.5688 data_time: 0.4551 memory: 3406 2022/07/23 07:46:59 - mmengine - INFO - Epoch(val) [42][300/310] eta: 0:00:07 time: 0.7257 data_time: 0.6117 memory: 3406 2022/07/23 07:47:05 - mmengine - INFO - Epoch(val) [42][310/310] acc/top1: 0.6614 acc/top5: 0.8663 acc/mean1: 0.6614 2022/07/23 07:47:05 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_42.pth is removed 2022/07/23 07:47:09 - mmengine - INFO - The best checkpoint with 0.6614 acc/top1 at 43 epoch is saved to best_acc/top1_epoch_43.pth. 2022/07/23 07:47:25 - mmengine - INFO - Epoch(train) [43][20/3757] lr: 1.0000e-03 eta: 1 day, 16:10:11 time: 0.8350 data_time: 0.5039 memory: 17350 grad_norm: 5.5097 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3639 loss: 1.3639 2022/07/23 07:47:37 - mmengine - INFO - Epoch(train) [43][40/3757] lr: 1.0000e-03 eta: 1 day, 16:09:56 time: 0.5980 data_time: 0.2725 memory: 17350 grad_norm: 5.8690 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2388 loss: 1.2388 2022/07/23 07:47:51 - mmengine - INFO - Epoch(train) [43][60/3757] lr: 1.0000e-03 eta: 1 day, 16:09:44 time: 0.6962 data_time: 0.3699 memory: 17350 grad_norm: 5.5592 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4467 loss: 1.4467 2022/07/23 07:48:03 - mmengine - INFO - Epoch(train) [43][80/3757] lr: 1.0000e-03 eta: 1 day, 16:09:28 time: 0.5887 data_time: 0.2570 memory: 17350 grad_norm: 5.4309 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5171 loss: 1.5171 2022/07/23 07:48:19 - mmengine - INFO - Epoch(train) [43][100/3757] lr: 1.0000e-03 eta: 1 day, 16:09:18 time: 0.7761 data_time: 0.4456 memory: 17350 grad_norm: 5.5040 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4795 loss: 1.4795 2022/07/23 07:48:30 - mmengine - INFO - Epoch(train) [43][120/3757] lr: 1.0000e-03 eta: 1 day, 16:09:03 time: 0.5724 data_time: 0.2451 memory: 17350 grad_norm: 5.3572 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4108 loss: 1.4108 2022/07/23 07:48:45 - mmengine - INFO - Epoch(train) [43][140/3757] lr: 1.0000e-03 eta: 1 day, 16:08:52 time: 0.7470 data_time: 0.4221 memory: 17350 grad_norm: 5.3966 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0754 loss: 1.0754 2022/07/23 07:48:56 - mmengine - INFO - Epoch(train) [43][160/3757] lr: 1.0000e-03 eta: 1 day, 16:08:36 time: 0.5667 data_time: 0.2363 memory: 17350 grad_norm: 5.5585 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4403 loss: 1.4403 2022/07/23 07:49:11 - mmengine - INFO - Epoch(train) [43][180/3757] lr: 1.0000e-03 eta: 1 day, 16:08:24 time: 0.7203 data_time: 0.3778 memory: 17350 grad_norm: 5.4940 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5453 loss: 1.5453 2022/07/23 07:49:23 - mmengine - INFO - Epoch(train) [43][200/3757] lr: 1.0000e-03 eta: 1 day, 16:08:09 time: 0.6074 data_time: 0.2718 memory: 17350 grad_norm: 5.5183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3462 loss: 1.3462 2022/07/23 07:49:28 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 07:49:37 - mmengine - INFO - Epoch(train) [43][220/3757] lr: 1.0000e-03 eta: 1 day, 16:07:57 time: 0.7243 data_time: 0.3851 memory: 17350 grad_norm: 5.7219 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2305 loss: 1.2305 2022/07/23 07:49:50 - mmengine - INFO - Epoch(train) [43][240/3757] lr: 1.0000e-03 eta: 1 day, 16:07:43 time: 0.6200 data_time: 0.2775 memory: 17350 grad_norm: 5.5462 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2839 loss: 1.2839 2022/07/23 07:50:05 - mmengine - INFO - Epoch(train) [43][260/3757] lr: 1.0000e-03 eta: 1 day, 16:07:33 time: 0.7670 data_time: 0.4354 memory: 17350 grad_norm: 5.4212 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2593 loss: 1.2593 2022/07/23 07:50:17 - mmengine - INFO - Epoch(train) [43][280/3757] lr: 1.0000e-03 eta: 1 day, 16:07:17 time: 0.5866 data_time: 0.2400 memory: 17350 grad_norm: 5.4366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2721 loss: 1.2721 2022/07/23 07:50:32 - mmengine - INFO - Epoch(train) [43][300/3757] lr: 1.0000e-03 eta: 1 day, 16:07:06 time: 0.7278 data_time: 0.3348 memory: 17350 grad_norm: 5.7938 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4869 loss: 1.4869 2022/07/23 07:50:43 - mmengine - INFO - Epoch(train) [43][320/3757] lr: 1.0000e-03 eta: 1 day, 16:06:50 time: 0.5660 data_time: 0.1608 memory: 17350 grad_norm: 5.9693 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2807 loss: 1.2807 2022/07/23 07:50:57 - mmengine - INFO - Epoch(train) [43][340/3757] lr: 1.0000e-03 eta: 1 day, 16:06:38 time: 0.7118 data_time: 0.3080 memory: 17350 grad_norm: 5.7013 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3550 loss: 1.3550 2022/07/23 07:51:11 - mmengine - INFO - Epoch(train) [43][360/3757] lr: 1.0000e-03 eta: 1 day, 16:06:25 time: 0.6729 data_time: 0.1993 memory: 17350 grad_norm: 5.6232 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5205 loss: 1.5205 2022/07/23 07:51:25 - mmengine - INFO - Epoch(train) [43][380/3757] lr: 1.0000e-03 eta: 1 day, 16:06:13 time: 0.7270 data_time: 0.1580 memory: 17350 grad_norm: 5.6922 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4175 loss: 1.4175 2022/07/23 07:51:37 - mmengine - INFO - Epoch(train) [43][400/3757] lr: 1.0000e-03 eta: 1 day, 16:05:58 time: 0.6039 data_time: 0.1109 memory: 17350 grad_norm: 5.6648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6619 loss: 1.6619 2022/07/23 07:51:52 - mmengine - INFO - Epoch(train) [43][420/3757] lr: 1.0000e-03 eta: 1 day, 16:05:46 time: 0.7180 data_time: 0.1659 memory: 17350 grad_norm: 5.5279 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2372 loss: 1.2372 2022/07/23 07:52:04 - mmengine - INFO - Epoch(train) [43][440/3757] lr: 1.0000e-03 eta: 1 day, 16:05:32 time: 0.6216 data_time: 0.1215 memory: 17350 grad_norm: 5.5662 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2413 loss: 1.2413 2022/07/23 07:52:19 - mmengine - INFO - Epoch(train) [43][460/3757] lr: 1.0000e-03 eta: 1 day, 16:05:21 time: 0.7563 data_time: 0.1493 memory: 17350 grad_norm: 5.5330 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5978 loss: 1.5978 2022/07/23 07:52:31 - mmengine - INFO - Epoch(train) [43][480/3757] lr: 1.0000e-03 eta: 1 day, 16:05:06 time: 0.6010 data_time: 0.0934 memory: 17350 grad_norm: 5.3232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2373 loss: 1.2373 2022/07/23 07:52:46 - mmengine - INFO - Epoch(train) [43][500/3757] lr: 1.0000e-03 eta: 1 day, 16:04:54 time: 0.7158 data_time: 0.2754 memory: 17350 grad_norm: 5.6625 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6343 loss: 1.6343 2022/07/23 07:52:57 - mmengine - INFO - Epoch(train) [43][520/3757] lr: 1.0000e-03 eta: 1 day, 16:04:39 time: 0.5802 data_time: 0.1985 memory: 17350 grad_norm: 5.7865 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5519 loss: 1.5519 2022/07/23 07:53:11 - mmengine - INFO - Epoch(train) [43][540/3757] lr: 1.0000e-03 eta: 1 day, 16:04:27 time: 0.7082 data_time: 0.2826 memory: 17350 grad_norm: 5.5923 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3973 loss: 1.3973 2022/07/23 07:53:23 - mmengine - INFO - Epoch(train) [43][560/3757] lr: 1.0000e-03 eta: 1 day, 16:04:12 time: 0.6009 data_time: 0.2261 memory: 17350 grad_norm: 5.5876 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5042 loss: 1.5042 2022/07/23 07:53:38 - mmengine - INFO - Epoch(train) [43][580/3757] lr: 1.0000e-03 eta: 1 day, 16:04:00 time: 0.7218 data_time: 0.3720 memory: 17350 grad_norm: 5.6037 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4891 loss: 1.4891 2022/07/23 07:53:50 - mmengine - INFO - Epoch(train) [43][600/3757] lr: 1.0000e-03 eta: 1 day, 16:03:45 time: 0.6049 data_time: 0.2450 memory: 17350 grad_norm: 5.7701 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7388 loss: 1.7388 2022/07/23 07:54:05 - mmengine - INFO - Epoch(train) [43][620/3757] lr: 1.0000e-03 eta: 1 day, 16:03:35 time: 0.7589 data_time: 0.1694 memory: 17350 grad_norm: 5.4082 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4048 loss: 1.4048 2022/07/23 07:54:17 - mmengine - INFO - Epoch(train) [43][640/3757] lr: 1.0000e-03 eta: 1 day, 16:03:19 time: 0.5707 data_time: 0.1274 memory: 17350 grad_norm: 5.7348 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5236 loss: 1.5236 2022/07/23 07:54:31 - mmengine - INFO - Epoch(train) [43][660/3757] lr: 1.0000e-03 eta: 1 day, 16:03:07 time: 0.7240 data_time: 0.2214 memory: 17350 grad_norm: 5.6430 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3572 loss: 1.3572 2022/07/23 07:54:43 - mmengine - INFO - Epoch(train) [43][680/3757] lr: 1.0000e-03 eta: 1 day, 16:02:52 time: 0.6031 data_time: 0.1124 memory: 17350 grad_norm: 5.5552 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4327 loss: 1.4327 2022/07/23 07:54:57 - mmengine - INFO - Epoch(train) [43][700/3757] lr: 1.0000e-03 eta: 1 day, 16:02:40 time: 0.7143 data_time: 0.1951 memory: 17350 grad_norm: 5.4581 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2576 loss: 1.2576 2022/07/23 07:55:10 - mmengine - INFO - Epoch(train) [43][720/3757] lr: 1.0000e-03 eta: 1 day, 16:02:27 time: 0.6459 data_time: 0.0991 memory: 17350 grad_norm: 5.6242 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5040 loss: 1.5040 2022/07/23 07:55:25 - mmengine - INFO - Epoch(train) [43][740/3757] lr: 1.0000e-03 eta: 1 day, 16:02:15 time: 0.7239 data_time: 0.1566 memory: 17350 grad_norm: 5.8790 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2598 loss: 1.2598 2022/07/23 07:55:37 - mmengine - INFO - Epoch(train) [43][760/3757] lr: 1.0000e-03 eta: 1 day, 16:02:00 time: 0.6111 data_time: 0.1075 memory: 17350 grad_norm: 5.7384 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4200 loss: 1.4200 2022/07/23 07:55:52 - mmengine - INFO - Epoch(train) [43][780/3757] lr: 1.0000e-03 eta: 1 day, 16:01:50 time: 0.7638 data_time: 0.1653 memory: 17350 grad_norm: 5.6899 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7163 loss: 1.7163 2022/07/23 07:56:04 - mmengine - INFO - Epoch(train) [43][800/3757] lr: 1.0000e-03 eta: 1 day, 16:01:34 time: 0.5684 data_time: 0.0954 memory: 17350 grad_norm: 5.7250 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4132 loss: 1.4132 2022/07/23 07:56:18 - mmengine - INFO - Epoch(train) [43][820/3757] lr: 1.0000e-03 eta: 1 day, 16:01:23 time: 0.7395 data_time: 0.3362 memory: 17350 grad_norm: 5.6245 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4338 loss: 1.4338 2022/07/23 07:56:31 - mmengine - INFO - Epoch(train) [43][840/3757] lr: 1.0000e-03 eta: 1 day, 16:01:09 time: 0.6352 data_time: 0.3046 memory: 17350 grad_norm: 5.5728 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3562 loss: 1.3562 2022/07/23 07:56:46 - mmengine - INFO - Epoch(train) [43][860/3757] lr: 1.0000e-03 eta: 1 day, 16:00:57 time: 0.7235 data_time: 0.3871 memory: 17350 grad_norm: 5.4794 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3446 loss: 1.3446 2022/07/23 07:56:57 - mmengine - INFO - Epoch(train) [43][880/3757] lr: 1.0000e-03 eta: 1 day, 16:00:41 time: 0.5666 data_time: 0.2290 memory: 17350 grad_norm: 5.5552 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5645 loss: 1.5645 2022/07/23 07:57:12 - mmengine - INFO - Epoch(train) [43][900/3757] lr: 1.0000e-03 eta: 1 day, 16:00:31 time: 0.7673 data_time: 0.4334 memory: 17350 grad_norm: 5.5694 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5829 loss: 1.5829 2022/07/23 07:57:24 - mmengine - INFO - Epoch(train) [43][920/3757] lr: 1.0000e-03 eta: 1 day, 16:00:15 time: 0.5923 data_time: 0.2577 memory: 17350 grad_norm: 5.6680 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4000 loss: 1.4000 2022/07/23 07:57:38 - mmengine - INFO - Epoch(train) [43][940/3757] lr: 1.0000e-03 eta: 1 day, 16:00:03 time: 0.7015 data_time: 0.3603 memory: 17350 grad_norm: 5.7289 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6659 loss: 1.6659 2022/07/23 07:57:51 - mmengine - INFO - Epoch(train) [43][960/3757] lr: 1.0000e-03 eta: 1 day, 15:59:49 time: 0.6175 data_time: 0.2675 memory: 17350 grad_norm: 5.5263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2871 loss: 1.2871 2022/07/23 07:58:04 - mmengine - INFO - Epoch(train) [43][980/3757] lr: 1.0000e-03 eta: 1 day, 15:59:36 time: 0.6823 data_time: 0.3451 memory: 17350 grad_norm: 5.5827 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2777 loss: 1.2777 2022/07/23 07:58:17 - mmengine - INFO - Epoch(train) [43][1000/3757] lr: 1.0000e-03 eta: 1 day, 15:59:22 time: 0.6388 data_time: 0.2748 memory: 17350 grad_norm: 5.6411 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4417 loss: 1.4417 2022/07/23 07:58:31 - mmengine - INFO - Epoch(train) [43][1020/3757] lr: 1.0000e-03 eta: 1 day, 15:59:10 time: 0.7195 data_time: 0.3741 memory: 17350 grad_norm: 5.4622 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3200 loss: 1.3200 2022/07/23 07:58:43 - mmengine - INFO - Epoch(train) [43][1040/3757] lr: 1.0000e-03 eta: 1 day, 15:58:54 time: 0.5787 data_time: 0.2414 memory: 17350 grad_norm: 5.4690 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2052 loss: 1.2052 2022/07/23 07:58:58 - mmengine - INFO - Epoch(train) [43][1060/3757] lr: 1.0000e-03 eta: 1 day, 15:58:43 time: 0.7228 data_time: 0.3829 memory: 17350 grad_norm: 5.5899 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2298 loss: 1.2298 2022/07/23 07:59:10 - mmengine - INFO - Epoch(train) [43][1080/3757] lr: 1.0000e-03 eta: 1 day, 15:58:28 time: 0.6250 data_time: 0.2665 memory: 17350 grad_norm: 5.6356 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4764 loss: 1.4764 2022/07/23 07:59:24 - mmengine - INFO - Epoch(train) [43][1100/3757] lr: 1.0000e-03 eta: 1 day, 15:58:16 time: 0.6870 data_time: 0.2635 memory: 17350 grad_norm: 5.6863 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2384 loss: 1.2384 2022/07/23 07:59:37 - mmengine - INFO - Epoch(train) [43][1120/3757] lr: 1.0000e-03 eta: 1 day, 15:58:03 time: 0.6693 data_time: 0.0881 memory: 17350 grad_norm: 5.5795 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4763 loss: 1.4763 2022/07/23 07:59:51 - mmengine - INFO - Epoch(train) [43][1140/3757] lr: 1.0000e-03 eta: 1 day, 15:57:50 time: 0.6754 data_time: 0.0535 memory: 17350 grad_norm: 5.7857 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3409 loss: 1.3409 2022/07/23 08:00:03 - mmengine - INFO - Epoch(train) [43][1160/3757] lr: 1.0000e-03 eta: 1 day, 15:57:35 time: 0.6238 data_time: 0.0353 memory: 17350 grad_norm: 5.6921 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2620 loss: 1.2620 2022/07/23 08:00:18 - mmengine - INFO - Epoch(train) [43][1180/3757] lr: 1.0000e-03 eta: 1 day, 15:57:24 time: 0.7480 data_time: 0.1040 memory: 17350 grad_norm: 5.6642 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1578 loss: 1.1578 2022/07/23 08:00:30 - mmengine - INFO - Epoch(train) [43][1200/3757] lr: 1.0000e-03 eta: 1 day, 15:57:10 time: 0.6111 data_time: 0.0386 memory: 17350 grad_norm: 5.6946 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2895 loss: 1.2895 2022/07/23 08:00:35 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 08:00:45 - mmengine - INFO - Epoch(train) [43][1220/3757] lr: 1.0000e-03 eta: 1 day, 15:56:59 time: 0.7468 data_time: 0.0403 memory: 17350 grad_norm: 5.5629 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2729 loss: 1.2729 2022/07/23 08:00:58 - mmengine - INFO - Epoch(train) [43][1240/3757] lr: 1.0000e-03 eta: 1 day, 15:56:44 time: 0.6146 data_time: 0.0230 memory: 17350 grad_norm: 5.8560 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6433 loss: 1.6433 2022/07/23 08:01:12 - mmengine - INFO - Epoch(train) [43][1260/3757] lr: 1.0000e-03 eta: 1 day, 15:56:32 time: 0.6987 data_time: 0.0245 memory: 17350 grad_norm: 5.4687 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1954 loss: 1.1954 2022/07/23 08:01:24 - mmengine - INFO - Epoch(train) [43][1280/3757] lr: 1.0000e-03 eta: 1 day, 15:56:17 time: 0.6158 data_time: 0.0407 memory: 17350 grad_norm: 5.5857 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4289 loss: 1.4289 2022/07/23 08:01:39 - mmengine - INFO - Epoch(train) [43][1300/3757] lr: 1.0000e-03 eta: 1 day, 15:56:06 time: 0.7558 data_time: 0.0222 memory: 17350 grad_norm: 5.6395 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3459 loss: 1.3459 2022/07/23 08:01:51 - mmengine - INFO - Epoch(train) [43][1320/3757] lr: 1.0000e-03 eta: 1 day, 15:55:51 time: 0.5928 data_time: 0.0230 memory: 17350 grad_norm: 5.5113 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5068 loss: 1.5068 2022/07/23 08:02:05 - mmengine - INFO - Epoch(train) [43][1340/3757] lr: 1.0000e-03 eta: 1 day, 15:55:39 time: 0.6968 data_time: 0.0221 memory: 17350 grad_norm: 5.4718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3586 loss: 1.3586 2022/07/23 08:02:18 - mmengine - INFO - Epoch(train) [43][1360/3757] lr: 1.0000e-03 eta: 1 day, 15:55:25 time: 0.6308 data_time: 0.0243 memory: 17350 grad_norm: 5.7044 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5699 loss: 1.5699 2022/07/23 08:02:31 - mmengine - INFO - Epoch(train) [43][1380/3757] lr: 1.0000e-03 eta: 1 day, 15:55:12 time: 0.6856 data_time: 0.0221 memory: 17350 grad_norm: 5.8406 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5924 loss: 1.5924 2022/07/23 08:02:44 - mmengine - INFO - Epoch(train) [43][1400/3757] lr: 1.0000e-03 eta: 1 day, 15:54:58 time: 0.6401 data_time: 0.0226 memory: 17350 grad_norm: 5.9202 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3119 loss: 1.3119 2022/07/23 08:02:58 - mmengine - INFO - Epoch(train) [43][1420/3757] lr: 1.0000e-03 eta: 1 day, 15:54:46 time: 0.7186 data_time: 0.0234 memory: 17350 grad_norm: 5.6638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4842 loss: 1.4842 2022/07/23 08:03:11 - mmengine - INFO - Epoch(train) [43][1440/3757] lr: 1.0000e-03 eta: 1 day, 15:54:32 time: 0.6116 data_time: 0.0256 memory: 17350 grad_norm: 5.6200 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2856 loss: 1.2856 2022/07/23 08:03:25 - mmengine - INFO - Epoch(train) [43][1460/3757] lr: 1.0000e-03 eta: 1 day, 15:54:20 time: 0.7166 data_time: 0.0221 memory: 17350 grad_norm: 5.7207 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4448 loss: 1.4448 2022/07/23 08:03:37 - mmengine - INFO - Epoch(train) [43][1480/3757] lr: 1.0000e-03 eta: 1 day, 15:54:04 time: 0.5803 data_time: 0.0226 memory: 17350 grad_norm: 5.6971 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3710 loss: 1.3710 2022/07/23 08:03:51 - mmengine - INFO - Epoch(train) [43][1500/3757] lr: 1.0000e-03 eta: 1 day, 15:53:53 time: 0.7219 data_time: 0.0210 memory: 17350 grad_norm: 5.7783 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3146 loss: 1.3146 2022/07/23 08:04:03 - mmengine - INFO - Epoch(train) [43][1520/3757] lr: 1.0000e-03 eta: 1 day, 15:53:38 time: 0.6142 data_time: 0.0236 memory: 17350 grad_norm: 5.6284 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4960 loss: 1.4960 2022/07/23 08:04:17 - mmengine - INFO - Epoch(train) [43][1540/3757] lr: 1.0000e-03 eta: 1 day, 15:53:26 time: 0.7045 data_time: 0.0226 memory: 17350 grad_norm: 5.8351 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4580 loss: 1.4580 2022/07/23 08:04:30 - mmengine - INFO - Epoch(train) [43][1560/3757] lr: 1.0000e-03 eta: 1 day, 15:53:11 time: 0.6172 data_time: 0.0247 memory: 17350 grad_norm: 5.4910 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6545 loss: 1.6545 2022/07/23 08:04:44 - mmengine - INFO - Epoch(train) [43][1580/3757] lr: 1.0000e-03 eta: 1 day, 15:52:59 time: 0.6992 data_time: 0.0225 memory: 17350 grad_norm: 5.6730 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5216 loss: 1.5216 2022/07/23 08:04:56 - mmengine - INFO - Epoch(train) [43][1600/3757] lr: 1.0000e-03 eta: 1 day, 15:52:44 time: 0.6066 data_time: 0.0275 memory: 17350 grad_norm: 5.5273 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2839 loss: 1.2839 2022/07/23 08:05:11 - mmengine - INFO - Epoch(train) [43][1620/3757] lr: 1.0000e-03 eta: 1 day, 15:52:33 time: 0.7464 data_time: 0.0224 memory: 17350 grad_norm: 5.5710 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4970 loss: 1.4970 2022/07/23 08:05:23 - mmengine - INFO - Epoch(train) [43][1640/3757] lr: 1.0000e-03 eta: 1 day, 15:52:18 time: 0.6129 data_time: 0.0337 memory: 17350 grad_norm: 5.5928 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4296 loss: 1.4296 2022/07/23 08:05:37 - mmengine - INFO - Epoch(train) [43][1660/3757] lr: 1.0000e-03 eta: 1 day, 15:52:06 time: 0.7118 data_time: 0.0228 memory: 17350 grad_norm: 5.5526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6188 loss: 1.6188 2022/07/23 08:05:50 - mmengine - INFO - Epoch(train) [43][1680/3757] lr: 1.0000e-03 eta: 1 day, 15:51:52 time: 0.6159 data_time: 0.0293 memory: 17350 grad_norm: 5.6790 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2971 loss: 1.2971 2022/07/23 08:06:04 - mmengine - INFO - Epoch(train) [43][1700/3757] lr: 1.0000e-03 eta: 1 day, 15:51:40 time: 0.7168 data_time: 0.0211 memory: 17350 grad_norm: 5.5652 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2332 loss: 1.2332 2022/07/23 08:06:16 - mmengine - INFO - Epoch(train) [43][1720/3757] lr: 1.0000e-03 eta: 1 day, 15:51:25 time: 0.6128 data_time: 0.0376 memory: 17350 grad_norm: 5.7216 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3678 loss: 1.3678 2022/07/23 08:06:31 - mmengine - INFO - Epoch(train) [43][1740/3757] lr: 1.0000e-03 eta: 1 day, 15:51:14 time: 0.7320 data_time: 0.0227 memory: 17350 grad_norm: 5.6612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3703 loss: 1.3703 2022/07/23 08:06:44 - mmengine - INFO - Epoch(train) [43][1760/3757] lr: 1.0000e-03 eta: 1 day, 15:51:00 time: 0.6371 data_time: 0.0243 memory: 17350 grad_norm: 5.6782 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2569 loss: 1.2569 2022/07/23 08:06:59 - mmengine - INFO - Epoch(train) [43][1780/3757] lr: 1.0000e-03 eta: 1 day, 15:50:49 time: 0.7484 data_time: 0.0232 memory: 17350 grad_norm: 5.6610 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4599 loss: 1.4599 2022/07/23 08:07:10 - mmengine - INFO - Epoch(train) [43][1800/3757] lr: 1.0000e-03 eta: 1 day, 15:50:33 time: 0.5746 data_time: 0.0230 memory: 17350 grad_norm: 5.5974 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3004 loss: 1.3004 2022/07/23 08:07:25 - mmengine - INFO - Epoch(train) [43][1820/3757] lr: 1.0000e-03 eta: 1 day, 15:50:22 time: 0.7216 data_time: 0.0213 memory: 17350 grad_norm: 5.7837 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3853 loss: 1.3853 2022/07/23 08:07:36 - mmengine - INFO - Epoch(train) [43][1840/3757] lr: 1.0000e-03 eta: 1 day, 15:50:06 time: 0.5769 data_time: 0.0222 memory: 17350 grad_norm: 5.3888 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1868 loss: 1.1868 2022/07/23 08:07:51 - mmengine - INFO - Epoch(train) [43][1860/3757] lr: 1.0000e-03 eta: 1 day, 15:49:55 time: 0.7498 data_time: 0.0350 memory: 17350 grad_norm: 5.5854 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3177 loss: 1.3177 2022/07/23 08:16:27 - mmengine - INFO - Epoch(train) [43][1880/3757] lr: 1.0000e-03 eta: 1 day, 16:01:02 time: 25.8059 data_time: 0.0227 memory: 17350 grad_norm: 5.5271 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2738 loss: 1.2738 2022/07/23 08:16:48 - mmengine - INFO - Epoch(train) [43][1900/3757] lr: 1.0000e-03 eta: 1 day, 16:00:59 time: 1.0450 data_time: 0.0778 memory: 17350 grad_norm: 5.6254 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3162 loss: 1.3162 2022/07/23 08:17:05 - mmengine - INFO - Epoch(train) [43][1920/3757] lr: 1.0000e-03 eta: 1 day, 16:00:51 time: 0.8585 data_time: 0.0209 memory: 17350 grad_norm: 5.3987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3212 loss: 1.3212 2022/07/23 08:17:19 - mmengine - INFO - Epoch(train) [43][1940/3757] lr: 1.0000e-03 eta: 1 day, 16:00:38 time: 0.7018 data_time: 0.0220 memory: 17350 grad_norm: 5.5107 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1727 loss: 1.1727 2022/07/23 08:17:33 - mmengine - INFO - Epoch(train) [43][1960/3757] lr: 1.0000e-03 eta: 1 day, 16:00:25 time: 0.6603 data_time: 0.0208 memory: 17350 grad_norm: 5.5419 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4674 loss: 1.4674 2022/07/23 08:17:47 - mmengine - INFO - Epoch(train) [43][1980/3757] lr: 1.0000e-03 eta: 1 day, 16:00:12 time: 0.6903 data_time: 0.0244 memory: 17350 grad_norm: 5.7074 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4545 loss: 1.4545 2022/07/23 08:17:59 - mmengine - INFO - Epoch(train) [43][2000/3757] lr: 1.0000e-03 eta: 1 day, 15:59:57 time: 0.6100 data_time: 0.0211 memory: 17350 grad_norm: 5.7988 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2637 loss: 1.2637 2022/07/23 08:18:12 - mmengine - INFO - Epoch(train) [43][2020/3757] lr: 1.0000e-03 eta: 1 day, 15:59:43 time: 0.6395 data_time: 0.0237 memory: 17350 grad_norm: 5.6060 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3967 loss: 1.3967 2022/07/23 08:18:26 - mmengine - INFO - Epoch(train) [43][2040/3757] lr: 1.0000e-03 eta: 1 day, 15:59:31 time: 0.7105 data_time: 0.0244 memory: 17350 grad_norm: 5.4932 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4619 loss: 1.4619 2022/07/23 08:18:37 - mmengine - INFO - Epoch(train) [43][2060/3757] lr: 1.0000e-03 eta: 1 day, 15:59:15 time: 0.5828 data_time: 0.0216 memory: 17350 grad_norm: 5.5957 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6140 loss: 1.6140 2022/07/23 08:18:52 - mmengine - INFO - Epoch(train) [43][2080/3757] lr: 1.0000e-03 eta: 1 day, 15:59:03 time: 0.7160 data_time: 0.0223 memory: 17350 grad_norm: 5.6982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5233 loss: 1.5233 2022/07/23 08:19:03 - mmengine - INFO - Epoch(train) [43][2100/3757] lr: 1.0000e-03 eta: 1 day, 15:58:48 time: 0.5793 data_time: 0.0236 memory: 17350 grad_norm: 5.7254 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3509 loss: 1.3509 2022/07/23 08:19:17 - mmengine - INFO - Epoch(train) [43][2120/3757] lr: 1.0000e-03 eta: 1 day, 15:58:35 time: 0.7049 data_time: 0.0231 memory: 17350 grad_norm: 5.5266 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3171 loss: 1.3171 2022/07/23 08:19:29 - mmengine - INFO - Epoch(train) [43][2140/3757] lr: 1.0000e-03 eta: 1 day, 15:58:20 time: 0.5921 data_time: 0.0229 memory: 17350 grad_norm: 5.5537 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3334 loss: 1.3334 2022/07/23 08:19:43 - mmengine - INFO - Epoch(train) [43][2160/3757] lr: 1.0000e-03 eta: 1 day, 15:58:07 time: 0.6801 data_time: 0.0246 memory: 17350 grad_norm: 5.7874 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4902 loss: 1.4902 2022/07/23 08:19:55 - mmengine - INFO - Epoch(train) [43][2180/3757] lr: 1.0000e-03 eta: 1 day, 15:57:53 time: 0.6276 data_time: 0.0213 memory: 17350 grad_norm: 5.8444 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3883 loss: 1.3883 2022/07/23 08:20:11 - mmengine - INFO - Epoch(train) [43][2200/3757] lr: 1.0000e-03 eta: 1 day, 15:57:42 time: 0.7693 data_time: 0.0233 memory: 17350 grad_norm: 5.7907 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2821 loss: 1.2821 2022/07/23 08:20:13 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 08:20:23 - mmengine - INFO - Epoch(train) [43][2220/3757] lr: 1.0000e-03 eta: 1 day, 15:57:27 time: 0.5997 data_time: 0.0248 memory: 17350 grad_norm: 5.5937 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3108 loss: 1.3108 2022/07/23 08:20:39 - mmengine - INFO - Epoch(train) [43][2240/3757] lr: 1.0000e-03 eta: 1 day, 15:57:18 time: 0.8241 data_time: 0.0236 memory: 17350 grad_norm: 5.6211 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2449 loss: 1.2449 2022/07/23 08:20:50 - mmengine - INFO - Epoch(train) [43][2260/3757] lr: 1.0000e-03 eta: 1 day, 15:57:01 time: 0.5335 data_time: 0.0246 memory: 17350 grad_norm: 5.5142 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3977 loss: 1.3977 2022/07/23 08:21:05 - mmengine - INFO - Epoch(train) [43][2280/3757] lr: 1.0000e-03 eta: 1 day, 15:56:49 time: 0.7366 data_time: 0.0210 memory: 17350 grad_norm: 5.7414 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3253 loss: 1.3253 2022/07/23 08:21:17 - mmengine - INFO - Epoch(train) [43][2300/3757] lr: 1.0000e-03 eta: 1 day, 15:56:34 time: 0.5941 data_time: 0.0255 memory: 17350 grad_norm: 5.3951 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2713 loss: 1.2713 2022/07/23 08:21:30 - mmengine - INFO - Epoch(train) [43][2320/3757] lr: 1.0000e-03 eta: 1 day, 15:56:21 time: 0.6786 data_time: 0.0222 memory: 17350 grad_norm: 5.7127 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4166 loss: 1.4166 2022/07/23 08:21:41 - mmengine - INFO - Epoch(train) [43][2340/3757] lr: 1.0000e-03 eta: 1 day, 15:56:05 time: 0.5566 data_time: 0.0258 memory: 17350 grad_norm: 5.7181 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2231 loss: 1.2231 2022/07/23 08:21:55 - mmengine - INFO - Epoch(train) [43][2360/3757] lr: 1.0000e-03 eta: 1 day, 15:55:52 time: 0.6792 data_time: 0.0230 memory: 17350 grad_norm: 5.6619 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6264 loss: 1.6264 2022/07/23 08:22:09 - mmengine - INFO - Epoch(train) [43][2380/3757] lr: 1.0000e-03 eta: 1 day, 15:55:40 time: 0.7149 data_time: 0.0391 memory: 17350 grad_norm: 5.5339 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5797 loss: 1.5797 2022/07/23 08:22:22 - mmengine - INFO - Epoch(train) [43][2400/3757] lr: 1.0000e-03 eta: 1 day, 15:55:25 time: 0.6142 data_time: 0.0246 memory: 17350 grad_norm: 5.5513 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3183 loss: 1.3183 2022/07/23 08:22:37 - mmengine - INFO - Epoch(train) [43][2420/3757] lr: 1.0000e-03 eta: 1 day, 15:55:14 time: 0.7553 data_time: 0.0227 memory: 17350 grad_norm: 5.7062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4697 loss: 1.4697 2022/07/23 08:22:49 - mmengine - INFO - Epoch(train) [43][2440/3757] lr: 1.0000e-03 eta: 1 day, 15:55:00 time: 0.6331 data_time: 0.2747 memory: 17350 grad_norm: 5.8223 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3052 loss: 1.3052 2022/07/23 08:23:02 - mmengine - INFO - Epoch(train) [43][2460/3757] lr: 1.0000e-03 eta: 1 day, 15:54:45 time: 0.6285 data_time: 0.2515 memory: 17350 grad_norm: 5.7105 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3586 loss: 1.3586 2022/07/23 08:23:16 - mmengine - INFO - Epoch(train) [43][2480/3757] lr: 1.0000e-03 eta: 1 day, 15:54:33 time: 0.6895 data_time: 0.2955 memory: 17350 grad_norm: 5.5605 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1844 loss: 1.1844 2022/07/23 08:23:29 - mmengine - INFO - Epoch(train) [43][2500/3757] lr: 1.0000e-03 eta: 1 day, 15:54:19 time: 0.6404 data_time: 0.1329 memory: 17350 grad_norm: 5.5669 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3743 loss: 1.3743 2022/07/23 08:23:43 - mmengine - INFO - Epoch(train) [43][2520/3757] lr: 1.0000e-03 eta: 1 day, 15:54:07 time: 0.7381 data_time: 0.3577 memory: 17350 grad_norm: 5.4553 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7061 loss: 1.7061 2022/07/23 08:23:55 - mmengine - INFO - Epoch(train) [43][2540/3757] lr: 1.0000e-03 eta: 1 day, 15:53:52 time: 0.6046 data_time: 0.2185 memory: 17350 grad_norm: 5.5384 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3750 loss: 1.3750 2022/07/23 08:24:10 - mmengine - INFO - Epoch(train) [43][2560/3757] lr: 1.0000e-03 eta: 1 day, 15:53:40 time: 0.7144 data_time: 0.3351 memory: 17350 grad_norm: 5.3738 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3380 loss: 1.3380 2022/07/23 08:24:23 - mmengine - INFO - Epoch(train) [43][2580/3757] lr: 1.0000e-03 eta: 1 day, 15:53:26 time: 0.6544 data_time: 0.2163 memory: 17350 grad_norm: 5.5458 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1327 loss: 1.1327 2022/07/23 08:24:36 - mmengine - INFO - Epoch(train) [43][2600/3757] lr: 1.0000e-03 eta: 1 day, 15:53:13 time: 0.6798 data_time: 0.2236 memory: 17350 grad_norm: 5.4624 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2192 loss: 1.2192 2022/07/23 08:24:50 - mmengine - INFO - Epoch(train) [43][2620/3757] lr: 1.0000e-03 eta: 1 day, 15:53:00 time: 0.6599 data_time: 0.1056 memory: 17350 grad_norm: 5.6469 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3460 loss: 1.3460 2022/07/23 08:25:03 - mmengine - INFO - Epoch(train) [43][2640/3757] lr: 1.0000e-03 eta: 1 day, 15:52:46 time: 0.6448 data_time: 0.0290 memory: 17350 grad_norm: 5.2708 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2132 loss: 1.2132 2022/07/23 08:25:18 - mmengine - INFO - Epoch(train) [43][2660/3757] lr: 1.0000e-03 eta: 1 day, 15:52:35 time: 0.7618 data_time: 0.0215 memory: 17350 grad_norm: 5.7401 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4572 loss: 1.4572 2022/07/23 08:25:30 - mmengine - INFO - Epoch(train) [43][2680/3757] lr: 1.0000e-03 eta: 1 day, 15:52:20 time: 0.5989 data_time: 0.0200 memory: 17350 grad_norm: 5.5899 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1844 loss: 1.1844 2022/07/23 08:25:45 - mmengine - INFO - Epoch(train) [43][2700/3757] lr: 1.0000e-03 eta: 1 day, 15:52:09 time: 0.7351 data_time: 0.0234 memory: 17350 grad_norm: 5.6930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4052 loss: 1.4052 2022/07/23 08:25:56 - mmengine - INFO - Epoch(train) [43][2720/3757] lr: 1.0000e-03 eta: 1 day, 15:51:53 time: 0.5771 data_time: 0.0219 memory: 17350 grad_norm: 5.8435 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4657 loss: 1.4657 2022/07/23 08:26:11 - mmengine - INFO - Epoch(train) [43][2740/3757] lr: 1.0000e-03 eta: 1 day, 15:51:42 time: 0.7615 data_time: 0.0232 memory: 17350 grad_norm: 5.7904 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5808 loss: 1.5808 2022/07/23 08:26:24 - mmengine - INFO - Epoch(train) [43][2760/3757] lr: 1.0000e-03 eta: 1 day, 15:51:27 time: 0.6204 data_time: 0.0219 memory: 17350 grad_norm: 5.8358 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4072 loss: 1.4072 2022/07/23 08:26:37 - mmengine - INFO - Epoch(train) [43][2780/3757] lr: 1.0000e-03 eta: 1 day, 15:51:14 time: 0.6761 data_time: 0.0212 memory: 17350 grad_norm: 5.5946 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0755 loss: 1.0755 2022/07/23 08:26:51 - mmengine - INFO - Epoch(train) [43][2800/3757] lr: 1.0000e-03 eta: 1 day, 15:51:01 time: 0.6682 data_time: 0.0207 memory: 17350 grad_norm: 5.6372 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4990 loss: 1.4990 2022/07/23 08:27:04 - mmengine - INFO - Epoch(train) [43][2820/3757] lr: 1.0000e-03 eta: 1 day, 15:50:48 time: 0.6748 data_time: 0.0246 memory: 17350 grad_norm: 5.6440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2460 loss: 1.2460 2022/07/23 08:27:17 - mmengine - INFO - Epoch(train) [43][2840/3757] lr: 1.0000e-03 eta: 1 day, 15:50:34 time: 0.6390 data_time: 0.0214 memory: 17350 grad_norm: 5.6444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2331 loss: 1.2331 2022/07/23 08:27:30 - mmengine - INFO - Epoch(train) [43][2860/3757] lr: 1.0000e-03 eta: 1 day, 15:50:20 time: 0.6403 data_time: 0.0242 memory: 17350 grad_norm: 5.8180 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3636 loss: 1.3636 2022/07/23 08:27:44 - mmengine - INFO - Epoch(train) [43][2880/3757] lr: 1.0000e-03 eta: 1 day, 15:50:08 time: 0.7211 data_time: 0.0220 memory: 17350 grad_norm: 5.6267 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6233 loss: 1.6233 2022/07/23 08:27:57 - mmengine - INFO - Epoch(train) [43][2900/3757] lr: 1.0000e-03 eta: 1 day, 15:49:54 time: 0.6361 data_time: 0.0494 memory: 17350 grad_norm: 5.7684 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4478 loss: 1.4478 2022/07/23 08:28:10 - mmengine - INFO - Epoch(train) [43][2920/3757] lr: 1.0000e-03 eta: 1 day, 15:49:41 time: 0.6767 data_time: 0.0226 memory: 17350 grad_norm: 5.7340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4773 loss: 1.4773 2022/07/23 08:28:25 - mmengine - INFO - Epoch(train) [43][2940/3757] lr: 1.0000e-03 eta: 1 day, 15:49:29 time: 0.7288 data_time: 0.0267 memory: 17350 grad_norm: 5.4988 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2270 loss: 1.2270 2022/07/23 08:28:37 - mmengine - INFO - Epoch(train) [43][2960/3757] lr: 1.0000e-03 eta: 1 day, 15:49:13 time: 0.5827 data_time: 0.0242 memory: 17350 grad_norm: 5.7193 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4090 loss: 1.4090 2022/07/23 08:28:51 - mmengine - INFO - Epoch(train) [43][2980/3757] lr: 1.0000e-03 eta: 1 day, 15:49:01 time: 0.7151 data_time: 0.0233 memory: 17350 grad_norm: 5.4938 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3881 loss: 1.3881 2022/07/23 08:29:03 - mmengine - INFO - Epoch(train) [43][3000/3757] lr: 1.0000e-03 eta: 1 day, 15:48:47 time: 0.6154 data_time: 0.0302 memory: 17350 grad_norm: 5.5659 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2445 loss: 1.2445 2022/07/23 08:29:18 - mmengine - INFO - Epoch(train) [43][3020/3757] lr: 1.0000e-03 eta: 1 day, 15:48:35 time: 0.7399 data_time: 0.0222 memory: 17350 grad_norm: 5.5987 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3683 loss: 1.3683 2022/07/23 08:29:30 - mmengine - INFO - Epoch(train) [43][3040/3757] lr: 1.0000e-03 eta: 1 day, 15:48:20 time: 0.5948 data_time: 0.0242 memory: 17350 grad_norm: 5.6666 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7371 loss: 1.7371 2022/07/23 08:29:44 - mmengine - INFO - Epoch(train) [43][3060/3757] lr: 1.0000e-03 eta: 1 day, 15:48:08 time: 0.7055 data_time: 0.0251 memory: 17350 grad_norm: 5.8046 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5080 loss: 1.5080 2022/07/23 08:29:56 - mmengine - INFO - Epoch(train) [43][3080/3757] lr: 1.0000e-03 eta: 1 day, 15:47:52 time: 0.6019 data_time: 0.0239 memory: 17350 grad_norm: 5.6994 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2518 loss: 1.2518 2022/07/23 08:30:12 - mmengine - INFO - Epoch(train) [43][3100/3757] lr: 1.0000e-03 eta: 1 day, 15:47:43 time: 0.7971 data_time: 0.0266 memory: 17350 grad_norm: 5.8787 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1936 loss: 1.1936 2022/07/23 08:30:23 - mmengine - INFO - Epoch(train) [43][3120/3757] lr: 1.0000e-03 eta: 1 day, 15:47:26 time: 0.5569 data_time: 0.0219 memory: 17350 grad_norm: 5.5798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2826 loss: 1.2826 2022/07/23 08:30:37 - mmengine - INFO - Epoch(train) [43][3140/3757] lr: 1.0000e-03 eta: 1 day, 15:47:14 time: 0.6893 data_time: 0.0436 memory: 17350 grad_norm: 5.6888 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5378 loss: 1.5378 2022/07/23 08:30:50 - mmengine - INFO - Epoch(train) [43][3160/3757] lr: 1.0000e-03 eta: 1 day, 15:47:00 time: 0.6413 data_time: 0.0712 memory: 17350 grad_norm: 5.6321 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5412 loss: 1.5412 2022/07/23 08:31:04 - mmengine - INFO - Epoch(train) [43][3180/3757] lr: 1.0000e-03 eta: 1 day, 15:46:48 time: 0.7224 data_time: 0.0637 memory: 17350 grad_norm: 5.6294 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2939 loss: 1.2939 2022/07/23 08:31:16 - mmengine - INFO - Epoch(train) [43][3200/3757] lr: 1.0000e-03 eta: 1 day, 15:46:32 time: 0.5768 data_time: 0.0446 memory: 17350 grad_norm: 5.5898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3801 loss: 1.3801 2022/07/23 08:31:21 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 08:31:32 - mmengine - INFO - Epoch(train) [43][3220/3757] lr: 1.0000e-03 eta: 1 day, 15:46:22 time: 0.7933 data_time: 0.0721 memory: 17350 grad_norm: 5.7691 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4341 loss: 1.4341 2022/07/23 08:31:44 - mmengine - INFO - Epoch(train) [43][3240/3757] lr: 1.0000e-03 eta: 1 day, 15:46:07 time: 0.5944 data_time: 0.0235 memory: 17350 grad_norm: 5.5553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3929 loss: 1.3929 2022/07/23 08:31:59 - mmengine - INFO - Epoch(train) [43][3260/3757] lr: 1.0000e-03 eta: 1 day, 15:45:57 time: 0.7835 data_time: 0.0219 memory: 17350 grad_norm: 5.7334 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2822 loss: 1.2822 2022/07/23 08:32:11 - mmengine - INFO - Epoch(train) [43][3280/3757] lr: 1.0000e-03 eta: 1 day, 15:45:41 time: 0.5886 data_time: 0.0222 memory: 17350 grad_norm: 5.5207 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3226 loss: 1.3226 2022/07/23 08:32:26 - mmengine - INFO - Epoch(train) [43][3300/3757] lr: 1.0000e-03 eta: 1 day, 15:45:29 time: 0.7201 data_time: 0.0233 memory: 17350 grad_norm: 5.7710 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2750 loss: 1.2750 2022/07/23 08:32:37 - mmengine - INFO - Epoch(train) [43][3320/3757] lr: 1.0000e-03 eta: 1 day, 15:45:14 time: 0.5877 data_time: 0.0240 memory: 17350 grad_norm: 5.6669 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3347 loss: 1.3347 2022/07/23 08:32:52 - mmengine - INFO - Epoch(train) [43][3340/3757] lr: 1.0000e-03 eta: 1 day, 15:45:02 time: 0.7427 data_time: 0.0229 memory: 17350 grad_norm: 5.5825 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3851 loss: 1.3851 2022/07/23 08:33:04 - mmengine - INFO - Epoch(train) [43][3360/3757] lr: 1.0000e-03 eta: 1 day, 15:44:48 time: 0.6089 data_time: 0.0236 memory: 17350 grad_norm: 5.5834 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2284 loss: 1.2284 2022/07/23 08:33:19 - mmengine - INFO - Epoch(train) [43][3380/3757] lr: 1.0000e-03 eta: 1 day, 15:44:36 time: 0.7331 data_time: 0.0229 memory: 17350 grad_norm: 5.5638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3992 loss: 1.3992 2022/07/23 08:33:31 - mmengine - INFO - Epoch(train) [43][3400/3757] lr: 1.0000e-03 eta: 1 day, 15:44:20 time: 0.5854 data_time: 0.0236 memory: 17350 grad_norm: 5.9257 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4371 loss: 1.4371 2022/07/23 08:33:45 - mmengine - INFO - Epoch(train) [43][3420/3757] lr: 1.0000e-03 eta: 1 day, 15:44:09 time: 0.7340 data_time: 0.0242 memory: 17350 grad_norm: 5.7690 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0377 loss: 1.0377 2022/07/23 08:33:57 - mmengine - INFO - Epoch(train) [43][3440/3757] lr: 1.0000e-03 eta: 1 day, 15:43:54 time: 0.5991 data_time: 0.0236 memory: 17350 grad_norm: 5.5749 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5416 loss: 1.5416 2022/07/23 08:34:11 - mmengine - INFO - Epoch(train) [43][3460/3757] lr: 1.0000e-03 eta: 1 day, 15:43:41 time: 0.6863 data_time: 0.0238 memory: 17350 grad_norm: 5.8098 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2820 loss: 1.2820 2022/07/23 08:34:23 - mmengine - INFO - Epoch(train) [43][3480/3757] lr: 1.0000e-03 eta: 1 day, 15:43:26 time: 0.5921 data_time: 0.0313 memory: 17350 grad_norm: 5.5721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2879 loss: 1.2879 2022/07/23 08:34:38 - mmengine - INFO - Epoch(train) [43][3500/3757] lr: 1.0000e-03 eta: 1 day, 15:43:14 time: 0.7261 data_time: 0.0229 memory: 17350 grad_norm: 5.7839 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4581 loss: 1.4581 2022/07/23 08:34:51 - mmengine - INFO - Epoch(train) [43][3520/3757] lr: 1.0000e-03 eta: 1 day, 15:43:00 time: 0.6652 data_time: 0.0236 memory: 17350 grad_norm: 5.7862 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4004 loss: 1.4004 2022/07/23 08:35:07 - mmengine - INFO - Epoch(train) [43][3540/3757] lr: 1.0000e-03 eta: 1 day, 15:42:51 time: 0.7958 data_time: 0.0222 memory: 17350 grad_norm: 5.6686 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7762 loss: 1.7762 2022/07/23 08:35:18 - mmengine - INFO - Epoch(train) [43][3560/3757] lr: 1.0000e-03 eta: 1 day, 15:42:35 time: 0.5779 data_time: 0.0265 memory: 17350 grad_norm: 5.9129 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2590 loss: 1.2590 2022/07/23 08:35:32 - mmengine - INFO - Epoch(train) [43][3580/3757] lr: 1.0000e-03 eta: 1 day, 15:42:22 time: 0.6861 data_time: 0.0414 memory: 17350 grad_norm: 5.8276 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3957 loss: 1.3957 2022/07/23 08:35:44 - mmengine - INFO - Epoch(train) [43][3600/3757] lr: 1.0000e-03 eta: 1 day, 15:42:07 time: 0.6162 data_time: 0.0223 memory: 17350 grad_norm: 5.8309 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3415 loss: 1.3415 2022/07/23 08:35:56 - mmengine - INFO - Epoch(train) [43][3620/3757] lr: 1.0000e-03 eta: 1 day, 15:41:52 time: 0.5847 data_time: 0.0206 memory: 17350 grad_norm: 5.8287 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3284 loss: 1.3284 2022/07/23 08:36:12 - mmengine - INFO - Epoch(train) [43][3640/3757] lr: 1.0000e-03 eta: 1 day, 15:41:41 time: 0.7739 data_time: 0.0235 memory: 17350 grad_norm: 5.6070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3648 loss: 1.3648 2022/07/23 08:36:24 - mmengine - INFO - Epoch(train) [43][3660/3757] lr: 1.0000e-03 eta: 1 day, 15:41:26 time: 0.6046 data_time: 0.0233 memory: 17350 grad_norm: 5.7836 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5275 loss: 1.5275 2022/07/23 08:36:37 - mmengine - INFO - Epoch(train) [43][3680/3757] lr: 1.0000e-03 eta: 1 day, 15:41:13 time: 0.6762 data_time: 0.0229 memory: 17350 grad_norm: 5.6750 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4613 loss: 1.4613 2022/07/23 08:36:49 - mmengine - INFO - Epoch(train) [43][3700/3757] lr: 1.0000e-03 eta: 1 day, 15:40:58 time: 0.5921 data_time: 0.0221 memory: 17350 grad_norm: 5.6501 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3740 loss: 1.3740 2022/07/23 08:37:03 - mmengine - INFO - Epoch(train) [43][3720/3757] lr: 1.0000e-03 eta: 1 day, 15:40:46 time: 0.7093 data_time: 0.0235 memory: 17350 grad_norm: 5.8434 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2486 loss: 1.2486 2022/07/23 08:37:16 - mmengine - INFO - Epoch(train) [43][3740/3757] lr: 1.0000e-03 eta: 1 day, 15:40:31 time: 0.6108 data_time: 0.0242 memory: 17350 grad_norm: 5.5550 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1471 loss: 1.1471 2022/07/23 08:37:25 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 08:37:25 - mmengine - INFO - Epoch(train) [43][3757/3757] lr: 1.0000e-03 eta: 1 day, 15:40:31 time: 0.5319 data_time: 0.0886 memory: 17350 grad_norm: 5.8336 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.3446 loss: 1.3446 2022/07/23 08:37:42 - mmengine - INFO - Epoch(val) [43][20/310] eta: 0:04:02 time: 0.8376 data_time: 0.7235 memory: 3406 2022/07/23 08:37:53 - mmengine - INFO - Epoch(val) [43][40/310] eta: 0:02:33 time: 0.5698 data_time: 0.4557 memory: 3406 2022/07/23 08:38:09 - mmengine - INFO - Epoch(val) [43][60/310] eta: 0:03:10 time: 0.7624 data_time: 0.6464 memory: 3406 2022/07/23 08:38:20 - mmengine - INFO - Epoch(val) [43][80/310] eta: 0:02:09 time: 0.5650 data_time: 0.4502 memory: 3406 2022/07/23 08:38:35 - mmengine - INFO - Epoch(val) [43][100/310] eta: 0:02:42 time: 0.7741 data_time: 0.6580 memory: 3406 2022/07/23 08:38:47 - mmengine - INFO - Epoch(val) [43][120/310] eta: 0:01:47 time: 0.5650 data_time: 0.4504 memory: 3406 2022/07/23 08:39:02 - mmengine - INFO - Epoch(val) [43][140/310] eta: 0:02:13 time: 0.7881 data_time: 0.6730 memory: 3406 2022/07/23 08:39:14 - mmengine - INFO - Epoch(val) [43][160/310] eta: 0:01:27 time: 0.5862 data_time: 0.4722 memory: 3406 2022/07/23 08:39:29 - mmengine - INFO - Epoch(val) [43][180/310] eta: 0:01:35 time: 0.7373 data_time: 0.6236 memory: 3406 2022/07/23 08:39:40 - mmengine - INFO - Epoch(val) [43][200/310] eta: 0:01:01 time: 0.5568 data_time: 0.4450 memory: 3406 2022/07/23 08:39:56 - mmengine - INFO - Epoch(val) [43][220/310] eta: 0:01:10 time: 0.7873 data_time: 0.6726 memory: 3406 2022/07/23 08:40:07 - mmengine - INFO - Epoch(val) [43][240/310] eta: 0:00:39 time: 0.5637 data_time: 0.4456 memory: 3406 2022/07/23 08:40:22 - mmengine - INFO - Epoch(val) [43][260/310] eta: 0:00:37 time: 0.7535 data_time: 0.6385 memory: 3406 2022/07/23 08:48:50 - mmengine - INFO - Epoch(val) [43][280/310] eta: 0:12:42 time: 25.4018 data_time: 25.2879 memory: 3406 2022/07/23 08:49:19 - mmengine - INFO - Epoch(val) [43][300/310] eta: 0:00:14 time: 1.4228 data_time: 1.3060 memory: 3406 2022/07/23 08:49:43 - mmengine - INFO - Epoch(val) [43][310/310] acc/top1: 0.6632 acc/top5: 0.8667 acc/mean1: 0.6631 2022/07/23 08:49:46 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_43.pth is removed 2022/07/23 08:49:48 - mmengine - INFO - The best checkpoint with 0.6632 acc/top1 at 44 epoch is saved to best_acc/top1_epoch_44.pth. 2022/07/23 08:50:05 - mmengine - INFO - Epoch(train) [44][20/3757] lr: 1.0000e-03 eta: 1 day, 15:39:56 time: 0.8497 data_time: 0.1489 memory: 17350 grad_norm: 5.7400 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3911 loss: 1.3911 2022/07/23 08:50:19 - mmengine - INFO - Epoch(train) [44][40/3757] lr: 1.0000e-03 eta: 1 day, 15:39:43 time: 0.6804 data_time: 0.0257 memory: 17350 grad_norm: 5.5314 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2089 loss: 1.2089 2022/07/23 08:50:33 - mmengine - INFO - Epoch(train) [44][60/3757] lr: 1.0000e-03 eta: 1 day, 15:39:30 time: 0.6900 data_time: 0.0221 memory: 17350 grad_norm: 5.8553 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3712 loss: 1.3712 2022/07/23 08:50:47 - mmengine - INFO - Epoch(train) [44][80/3757] lr: 1.0000e-03 eta: 1 day, 15:39:18 time: 0.7126 data_time: 0.0236 memory: 17350 grad_norm: 5.6095 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5552 loss: 1.5552 2022/07/23 08:50:59 - mmengine - INFO - Epoch(train) [44][100/3757] lr: 1.0000e-03 eta: 1 day, 15:39:03 time: 0.6124 data_time: 0.0229 memory: 17350 grad_norm: 5.4412 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1689 loss: 1.1689 2022/07/23 08:51:13 - mmengine - INFO - Epoch(train) [44][120/3757] lr: 1.0000e-03 eta: 1 day, 15:38:51 time: 0.7198 data_time: 0.0215 memory: 17350 grad_norm: 5.7914 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3559 loss: 1.3559 2022/07/23 08:51:26 - mmengine - INFO - Epoch(train) [44][140/3757] lr: 1.0000e-03 eta: 1 day, 15:38:37 time: 0.6152 data_time: 0.0266 memory: 17350 grad_norm: 5.8172 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4685 loss: 1.4685 2022/07/23 08:51:40 - mmengine - INFO - Epoch(train) [44][160/3757] lr: 1.0000e-03 eta: 1 day, 15:38:24 time: 0.6951 data_time: 0.0210 memory: 17350 grad_norm: 5.6181 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1288 loss: 1.1288 2022/07/23 08:51:52 - mmengine - INFO - Epoch(train) [44][180/3757] lr: 1.0000e-03 eta: 1 day, 15:38:09 time: 0.5962 data_time: 0.0225 memory: 17350 grad_norm: 5.7310 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2226 loss: 1.2226 2022/07/23 08:52:06 - mmengine - INFO - Epoch(train) [44][200/3757] lr: 1.0000e-03 eta: 1 day, 15:37:57 time: 0.7389 data_time: 0.0221 memory: 17350 grad_norm: 5.6852 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4507 loss: 1.4507 2022/07/23 08:52:18 - mmengine - INFO - Epoch(train) [44][220/3757] lr: 1.0000e-03 eta: 1 day, 15:37:42 time: 0.5943 data_time: 0.0224 memory: 17350 grad_norm: 5.9523 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4917 loss: 1.4917 2022/07/23 08:52:33 - mmengine - INFO - Epoch(train) [44][240/3757] lr: 1.0000e-03 eta: 1 day, 15:37:30 time: 0.7167 data_time: 0.0575 memory: 17350 grad_norm: 5.4781 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2657 loss: 1.2657 2022/07/23 08:52:44 - mmengine - INFO - Epoch(train) [44][260/3757] lr: 1.0000e-03 eta: 1 day, 15:37:15 time: 0.5792 data_time: 0.0448 memory: 17350 grad_norm: 5.6806 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3281 loss: 1.3281 2022/07/23 08:52:58 - mmengine - INFO - Epoch(train) [44][280/3757] lr: 1.0000e-03 eta: 1 day, 15:37:02 time: 0.7039 data_time: 0.0593 memory: 17350 grad_norm: 5.6097 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3825 loss: 1.3825 2022/07/23 08:53:11 - mmengine - INFO - Epoch(train) [44][300/3757] lr: 1.0000e-03 eta: 1 day, 15:36:48 time: 0.6291 data_time: 0.0680 memory: 17350 grad_norm: 5.7463 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3845 loss: 1.3845 2022/07/23 08:53:26 - mmengine - INFO - Epoch(train) [44][320/3757] lr: 1.0000e-03 eta: 1 day, 15:36:37 time: 0.7621 data_time: 0.0222 memory: 17350 grad_norm: 5.6246 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4672 loss: 1.4672 2022/07/23 08:53:38 - mmengine - INFO - Epoch(train) [44][340/3757] lr: 1.0000e-03 eta: 1 day, 15:36:22 time: 0.5895 data_time: 0.0367 memory: 17350 grad_norm: 5.7752 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4715 loss: 1.4715 2022/07/23 08:53:52 - mmengine - INFO - Epoch(train) [44][360/3757] lr: 1.0000e-03 eta: 1 day, 15:36:10 time: 0.7148 data_time: 0.0249 memory: 17350 grad_norm: 5.6730 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3279 loss: 1.3279 2022/07/23 08:54:04 - mmengine - INFO - Epoch(train) [44][380/3757] lr: 1.0000e-03 eta: 1 day, 15:35:55 time: 0.6062 data_time: 0.0231 memory: 17350 grad_norm: 5.4884 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2322 loss: 1.2322 2022/07/23 08:54:19 - mmengine - INFO - Epoch(train) [44][400/3757] lr: 1.0000e-03 eta: 1 day, 15:35:43 time: 0.7341 data_time: 0.0222 memory: 17350 grad_norm: 5.8150 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2038 loss: 1.2038 2022/07/23 08:54:31 - mmengine - INFO - Epoch(train) [44][420/3757] lr: 1.0000e-03 eta: 1 day, 15:35:28 time: 0.6062 data_time: 0.0228 memory: 17350 grad_norm: 5.6333 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4196 loss: 1.4196 2022/07/23 08:54:45 - mmengine - INFO - Epoch(train) [44][440/3757] lr: 1.0000e-03 eta: 1 day, 15:35:15 time: 0.6880 data_time: 0.0217 memory: 17350 grad_norm: 5.7061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3967 loss: 1.3967 2022/07/23 08:54:51 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 08:54:57 - mmengine - INFO - Epoch(train) [44][460/3757] lr: 1.0000e-03 eta: 1 day, 15:35:00 time: 0.6064 data_time: 0.0253 memory: 17350 grad_norm: 5.7274 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4126 loss: 1.4126 2022/07/23 08:55:13 - mmengine - INFO - Epoch(train) [44][480/3757] lr: 1.0000e-03 eta: 1 day, 15:34:51 time: 0.8046 data_time: 0.0223 memory: 17350 grad_norm: 5.6177 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9971 loss: 0.9971 2022/07/23 08:55:24 - mmengine - INFO - Epoch(train) [44][500/3757] lr: 1.0000e-03 eta: 1 day, 15:34:34 time: 0.5460 data_time: 0.0244 memory: 17350 grad_norm: 5.6836 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4124 loss: 1.4124 2022/07/23 08:55:39 - mmengine - INFO - Epoch(train) [44][520/3757] lr: 1.0000e-03 eta: 1 day, 15:34:23 time: 0.7568 data_time: 0.0211 memory: 17350 grad_norm: 5.8068 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2311 loss: 1.2311 2022/07/23 08:55:51 - mmengine - INFO - Epoch(train) [44][540/3757] lr: 1.0000e-03 eta: 1 day, 15:34:08 time: 0.6085 data_time: 0.0216 memory: 17350 grad_norm: 5.6645 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2969 loss: 1.2969 2022/07/23 08:56:05 - mmengine - INFO - Epoch(train) [44][560/3757] lr: 1.0000e-03 eta: 1 day, 15:33:55 time: 0.6828 data_time: 0.0220 memory: 17350 grad_norm: 5.6650 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5534 loss: 1.5534 2022/07/23 08:56:17 - mmengine - INFO - Epoch(train) [44][580/3757] lr: 1.0000e-03 eta: 1 day, 15:33:40 time: 0.5757 data_time: 0.0230 memory: 17350 grad_norm: 5.5770 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2569 loss: 1.2569 2022/07/23 08:56:33 - mmengine - INFO - Epoch(train) [44][600/3757] lr: 1.0000e-03 eta: 1 day, 15:33:31 time: 0.8326 data_time: 0.0229 memory: 17350 grad_norm: 5.7513 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3206 loss: 1.3206 2022/07/23 08:56:45 - mmengine - INFO - Epoch(train) [44][620/3757] lr: 1.0000e-03 eta: 1 day, 15:33:15 time: 0.5762 data_time: 0.0235 memory: 17350 grad_norm: 5.6037 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2931 loss: 1.2931 2022/07/23 08:57:01 - mmengine - INFO - Epoch(train) [44][640/3757] lr: 1.0000e-03 eta: 1 day, 15:33:05 time: 0.7934 data_time: 0.0234 memory: 17350 grad_norm: 5.5690 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4972 loss: 1.4972 2022/07/23 08:57:12 - mmengine - INFO - Epoch(train) [44][660/3757] lr: 1.0000e-03 eta: 1 day, 15:32:49 time: 0.5682 data_time: 0.0236 memory: 17350 grad_norm: 5.5677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4940 loss: 1.4940 2022/07/23 08:57:27 - mmengine - INFO - Epoch(train) [44][680/3757] lr: 1.0000e-03 eta: 1 day, 15:32:38 time: 0.7387 data_time: 0.0225 memory: 17350 grad_norm: 5.5461 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3533 loss: 1.3533 2022/07/23 08:57:39 - mmengine - INFO - Epoch(train) [44][700/3757] lr: 1.0000e-03 eta: 1 day, 15:32:23 time: 0.6194 data_time: 0.0338 memory: 17350 grad_norm: 5.8294 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3162 loss: 1.3162 2022/07/23 08:57:54 - mmengine - INFO - Epoch(train) [44][720/3757] lr: 1.0000e-03 eta: 1 day, 15:32:11 time: 0.7231 data_time: 0.0272 memory: 17350 grad_norm: 5.7748 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5279 loss: 1.5279 2022/07/23 08:58:06 - mmengine - INFO - Epoch(train) [44][740/3757] lr: 1.0000e-03 eta: 1 day, 15:31:57 time: 0.6208 data_time: 0.0237 memory: 17350 grad_norm: 5.8118 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1437 loss: 1.1437 2022/07/23 08:58:21 - mmengine - INFO - Epoch(train) [44][760/3757] lr: 1.0000e-03 eta: 1 day, 15:31:45 time: 0.7292 data_time: 0.0237 memory: 17350 grad_norm: 5.8968 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5652 loss: 1.5652 2022/07/23 08:58:33 - mmengine - INFO - Epoch(train) [44][780/3757] lr: 1.0000e-03 eta: 1 day, 15:31:29 time: 0.5852 data_time: 0.0227 memory: 17350 grad_norm: 5.5464 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4691 loss: 1.4691 2022/07/23 08:58:47 - mmengine - INFO - Epoch(train) [44][800/3757] lr: 1.0000e-03 eta: 1 day, 15:31:17 time: 0.7091 data_time: 0.0210 memory: 17350 grad_norm: 5.7857 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2722 loss: 1.2722 2022/07/23 08:58:58 - mmengine - INFO - Epoch(train) [44][820/3757] lr: 1.0000e-03 eta: 1 day, 15:31:02 time: 0.5772 data_time: 0.0238 memory: 17350 grad_norm: 5.9332 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3088 loss: 1.3088 2022/07/23 08:59:13 - mmengine - INFO - Epoch(train) [44][840/3757] lr: 1.0000e-03 eta: 1 day, 15:30:50 time: 0.7303 data_time: 0.0230 memory: 17350 grad_norm: 5.7990 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4862 loss: 1.4862 2022/07/23 08:59:25 - mmengine - INFO - Epoch(train) [44][860/3757] lr: 1.0000e-03 eta: 1 day, 15:30:35 time: 0.6094 data_time: 0.0276 memory: 17350 grad_norm: 5.7682 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3797 loss: 1.3797 2022/07/23 08:59:39 - mmengine - INFO - Epoch(train) [44][880/3757] lr: 1.0000e-03 eta: 1 day, 15:30:23 time: 0.7185 data_time: 0.0240 memory: 17350 grad_norm: 5.7078 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2412 loss: 1.2412 2022/07/23 08:59:52 - mmengine - INFO - Epoch(train) [44][900/3757] lr: 1.0000e-03 eta: 1 day, 15:30:08 time: 0.6201 data_time: 0.0237 memory: 17350 grad_norm: 5.6297 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1665 loss: 1.1665 2022/07/23 09:00:06 - mmengine - INFO - Epoch(train) [44][920/3757] lr: 1.0000e-03 eta: 1 day, 15:29:57 time: 0.7300 data_time: 0.0222 memory: 17350 grad_norm: 5.6003 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7368 loss: 1.7368 2022/07/23 09:00:19 - mmengine - INFO - Epoch(train) [44][940/3757] lr: 1.0000e-03 eta: 1 day, 15:29:42 time: 0.6267 data_time: 0.0237 memory: 17350 grad_norm: 5.8537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2690 loss: 1.2690 2022/07/23 09:00:33 - mmengine - INFO - Epoch(train) [44][960/3757] lr: 1.0000e-03 eta: 1 day, 15:29:30 time: 0.7013 data_time: 0.0375 memory: 17350 grad_norm: 5.6368 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2493 loss: 1.2493 2022/07/23 09:00:45 - mmengine - INFO - Epoch(train) [44][980/3757] lr: 1.0000e-03 eta: 1 day, 15:29:15 time: 0.6110 data_time: 0.0962 memory: 17350 grad_norm: 5.7665 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0504 loss: 1.0504 2022/07/23 09:00:59 - mmengine - INFO - Epoch(train) [44][1000/3757] lr: 1.0000e-03 eta: 1 day, 15:29:02 time: 0.6907 data_time: 0.1656 memory: 17350 grad_norm: 5.7960 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3314 loss: 1.3314 2022/07/23 09:01:12 - mmengine - INFO - Epoch(train) [44][1020/3757] lr: 1.0000e-03 eta: 1 day, 15:28:49 time: 0.6534 data_time: 0.0774 memory: 17350 grad_norm: 5.8622 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2283 loss: 1.2283 2022/07/23 09:01:26 - mmengine - INFO - Epoch(train) [44][1040/3757] lr: 1.0000e-03 eta: 1 day, 15:28:36 time: 0.6980 data_time: 0.1119 memory: 17350 grad_norm: 5.3919 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4857 loss: 1.4857 2022/07/23 09:01:39 - mmengine - INFO - Epoch(train) [44][1060/3757] lr: 1.0000e-03 eta: 1 day, 15:28:23 time: 0.6583 data_time: 0.2204 memory: 17350 grad_norm: 5.7909 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3260 loss: 1.3260 2022/07/23 09:01:53 - mmengine - INFO - Epoch(train) [44][1080/3757] lr: 1.0000e-03 eta: 1 day, 15:28:09 time: 0.6582 data_time: 0.0897 memory: 17350 grad_norm: 5.5767 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2840 loss: 1.2840 2022/07/23 09:02:06 - mmengine - INFO - Epoch(train) [44][1100/3757] lr: 1.0000e-03 eta: 1 day, 15:27:56 time: 0.6772 data_time: 0.1619 memory: 17350 grad_norm: 5.8433 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2525 loss: 1.2525 2022/07/23 09:02:19 - mmengine - INFO - Epoch(train) [44][1120/3757] lr: 1.0000e-03 eta: 1 day, 15:27:42 time: 0.6455 data_time: 0.0899 memory: 17350 grad_norm: 5.5562 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2887 loss: 1.2887 2022/07/23 09:02:33 - mmengine - INFO - Epoch(train) [44][1140/3757] lr: 1.0000e-03 eta: 1 day, 15:27:30 time: 0.7063 data_time: 0.0742 memory: 17350 grad_norm: 5.8309 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4130 loss: 1.4130 2022/07/23 09:02:46 - mmengine - INFO - Epoch(train) [44][1160/3757] lr: 1.0000e-03 eta: 1 day, 15:27:16 time: 0.6330 data_time: 0.0441 memory: 17350 grad_norm: 5.8602 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2389 loss: 1.2389 2022/07/23 09:03:00 - mmengine - INFO - Epoch(train) [44][1180/3757] lr: 1.0000e-03 eta: 1 day, 15:27:04 time: 0.7306 data_time: 0.2812 memory: 17350 grad_norm: 5.9312 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4495 loss: 1.4495 2022/07/23 09:03:13 - mmengine - INFO - Epoch(train) [44][1200/3757] lr: 1.0000e-03 eta: 1 day, 15:26:49 time: 0.6094 data_time: 0.0341 memory: 17350 grad_norm: 5.6258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3154 loss: 1.3154 2022/07/23 09:03:28 - mmengine - INFO - Epoch(train) [44][1220/3757] lr: 1.0000e-03 eta: 1 day, 15:26:38 time: 0.7616 data_time: 0.0241 memory: 17350 grad_norm: 5.7287 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2473 loss: 1.2473 2022/07/23 09:03:40 - mmengine - INFO - Epoch(train) [44][1240/3757] lr: 1.0000e-03 eta: 1 day, 15:26:24 time: 0.6279 data_time: 0.0229 memory: 17350 grad_norm: 5.7559 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3732 loss: 1.3732 2022/07/23 09:03:54 - mmengine - INFO - Epoch(train) [44][1260/3757] lr: 1.0000e-03 eta: 1 day, 15:26:11 time: 0.6831 data_time: 0.0546 memory: 17350 grad_norm: 5.7597 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2558 loss: 1.2558 2022/07/23 09:04:06 - mmengine - INFO - Epoch(train) [44][1280/3757] lr: 1.0000e-03 eta: 1 day, 15:25:56 time: 0.6059 data_time: 0.0209 memory: 17350 grad_norm: 5.9582 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2445 loss: 1.2445 2022/07/23 09:04:20 - mmengine - INFO - Epoch(train) [44][1300/3757] lr: 1.0000e-03 eta: 1 day, 15:25:43 time: 0.6774 data_time: 0.0222 memory: 17350 grad_norm: 5.6649 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2986 loss: 1.2986 2022/07/23 09:04:33 - mmengine - INFO - Epoch(train) [44][1320/3757] lr: 1.0000e-03 eta: 1 day, 15:25:30 time: 0.6670 data_time: 0.0209 memory: 17350 grad_norm: 5.5240 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2895 loss: 1.2895 2022/07/23 09:04:47 - mmengine - INFO - Epoch(train) [44][1340/3757] lr: 1.0000e-03 eta: 1 day, 15:25:17 time: 0.6913 data_time: 0.0225 memory: 17350 grad_norm: 5.8132 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3775 loss: 1.3775 2022/07/23 09:04:59 - mmengine - INFO - Epoch(train) [44][1360/3757] lr: 1.0000e-03 eta: 1 day, 15:25:02 time: 0.6040 data_time: 0.0229 memory: 17350 grad_norm: 5.6853 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3865 loss: 1.3865 2022/07/23 09:05:14 - mmengine - INFO - Epoch(train) [44][1380/3757] lr: 1.0000e-03 eta: 1 day, 15:24:51 time: 0.7657 data_time: 0.0402 memory: 17350 grad_norm: 5.9500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6163 loss: 1.6163 2022/07/23 09:05:26 - mmengine - INFO - Epoch(train) [44][1400/3757] lr: 1.0000e-03 eta: 1 day, 15:24:36 time: 0.5992 data_time: 0.0383 memory: 17350 grad_norm: 5.6526 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0480 loss: 1.0480 2022/07/23 09:05:41 - mmengine - INFO - Epoch(train) [44][1420/3757] lr: 1.0000e-03 eta: 1 day, 15:24:24 time: 0.7216 data_time: 0.0634 memory: 17350 grad_norm: 5.6184 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3022 loss: 1.3022 2022/07/23 09:05:53 - mmengine - INFO - Epoch(train) [44][1440/3757] lr: 1.0000e-03 eta: 1 day, 15:24:10 time: 0.6172 data_time: 0.0216 memory: 17350 grad_norm: 5.7496 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3321 loss: 1.3321 2022/07/23 09:05:59 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 09:06:07 - mmengine - INFO - Epoch(train) [44][1460/3757] lr: 1.0000e-03 eta: 1 day, 15:23:57 time: 0.6808 data_time: 0.0459 memory: 17350 grad_norm: 5.8286 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5187 loss: 1.5187 2022/07/23 09:06:21 - mmengine - INFO - Epoch(train) [44][1480/3757] lr: 1.0000e-03 eta: 1 day, 15:23:45 time: 0.7189 data_time: 0.0230 memory: 17350 grad_norm: 5.7079 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3701 loss: 1.3701 2022/07/23 09:06:34 - mmengine - INFO - Epoch(train) [44][1500/3757] lr: 1.0000e-03 eta: 1 day, 15:23:30 time: 0.6169 data_time: 0.0243 memory: 17350 grad_norm: 5.8289 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9734 loss: 0.9734 2022/07/23 09:06:48 - mmengine - INFO - Epoch(train) [44][1520/3757] lr: 1.0000e-03 eta: 1 day, 15:23:18 time: 0.7059 data_time: 0.0217 memory: 17350 grad_norm: 5.6169 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4445 loss: 1.4445 2022/07/23 09:07:01 - mmengine - INFO - Epoch(train) [44][1540/3757] lr: 1.0000e-03 eta: 1 day, 15:23:04 time: 0.6458 data_time: 0.0251 memory: 17350 grad_norm: 5.7973 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3720 loss: 1.3720 2022/07/23 09:07:14 - mmengine - INFO - Epoch(train) [44][1560/3757] lr: 1.0000e-03 eta: 1 day, 15:22:50 time: 0.6525 data_time: 0.0262 memory: 17350 grad_norm: 5.5483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3168 loss: 1.3168 2022/07/23 09:07:27 - mmengine - INFO - Epoch(train) [44][1580/3757] lr: 1.0000e-03 eta: 1 day, 15:22:37 time: 0.6663 data_time: 0.0234 memory: 17350 grad_norm: 5.8193 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3117 loss: 1.3117 2022/07/23 09:07:40 - mmengine - INFO - Epoch(train) [44][1600/3757] lr: 1.0000e-03 eta: 1 day, 15:22:23 time: 0.6430 data_time: 0.0216 memory: 17350 grad_norm: 5.7969 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2649 loss: 1.2649 2022/07/23 09:07:54 - mmengine - INFO - Epoch(train) [44][1620/3757] lr: 1.0000e-03 eta: 1 day, 15:22:10 time: 0.6992 data_time: 0.0215 memory: 17350 grad_norm: 5.4385 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1849 loss: 1.1849 2022/07/23 09:08:07 - mmengine - INFO - Epoch(train) [44][1640/3757] lr: 1.0000e-03 eta: 1 day, 15:21:56 time: 0.6363 data_time: 0.0221 memory: 17350 grad_norm: 5.7308 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4568 loss: 1.4568 2022/07/23 09:08:21 - mmengine - INFO - Epoch(train) [44][1660/3757] lr: 1.0000e-03 eta: 1 day, 15:21:44 time: 0.6995 data_time: 0.0233 memory: 17350 grad_norm: 5.6922 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3006 loss: 1.3006 2022/07/23 09:08:33 - mmengine - INFO - Epoch(train) [44][1680/3757] lr: 1.0000e-03 eta: 1 day, 15:21:29 time: 0.6209 data_time: 0.0209 memory: 17350 grad_norm: 5.6954 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4099 loss: 1.4099 2022/07/23 09:08:46 - mmengine - INFO - Epoch(train) [44][1700/3757] lr: 1.0000e-03 eta: 1 day, 15:21:16 time: 0.6645 data_time: 0.0523 memory: 17350 grad_norm: 6.0186 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3375 loss: 1.3375 2022/07/23 09:09:00 - mmengine - INFO - Epoch(train) [44][1720/3757] lr: 1.0000e-03 eta: 1 day, 15:21:03 time: 0.6959 data_time: 0.0283 memory: 17350 grad_norm: 5.5583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1154 loss: 1.1154 2022/07/23 09:09:13 - mmengine - INFO - Epoch(train) [44][1740/3757] lr: 1.0000e-03 eta: 1 day, 15:20:49 time: 0.6550 data_time: 0.0685 memory: 17350 grad_norm: 5.8448 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2316 loss: 1.2316 2022/07/23 09:09:27 - mmengine - INFO - Epoch(train) [44][1760/3757] lr: 1.0000e-03 eta: 1 day, 15:20:36 time: 0.6749 data_time: 0.0968 memory: 17350 grad_norm: 5.6075 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4095 loss: 1.4095 2022/07/23 09:09:40 - mmengine - INFO - Epoch(train) [44][1780/3757] lr: 1.0000e-03 eta: 1 day, 15:20:23 time: 0.6687 data_time: 0.0218 memory: 17350 grad_norm: 5.7592 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7250 loss: 1.7250 2022/07/23 09:09:54 - mmengine - INFO - Epoch(train) [44][1800/3757] lr: 1.0000e-03 eta: 1 day, 15:20:10 time: 0.6664 data_time: 0.0220 memory: 17350 grad_norm: 5.6987 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3545 loss: 1.3545 2022/07/23 09:10:08 - mmengine - INFO - Epoch(train) [44][1820/3757] lr: 1.0000e-03 eta: 1 day, 15:19:58 time: 0.7117 data_time: 0.0254 memory: 17350 grad_norm: 5.6716 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3799 loss: 1.3799 2022/07/23 09:10:21 - mmengine - INFO - Epoch(train) [44][1840/3757] lr: 1.0000e-03 eta: 1 day, 15:19:44 time: 0.6744 data_time: 0.0230 memory: 17350 grad_norm: 5.5465 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4808 loss: 1.4808 2022/07/23 09:10:34 - mmengine - INFO - Epoch(train) [44][1860/3757] lr: 1.0000e-03 eta: 1 day, 15:19:30 time: 0.6135 data_time: 0.0247 memory: 17350 grad_norm: 5.7369 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3502 loss: 1.3502 2022/07/23 09:10:48 - mmengine - INFO - Epoch(train) [44][1880/3757] lr: 1.0000e-03 eta: 1 day, 15:19:17 time: 0.7038 data_time: 0.0250 memory: 17350 grad_norm: 5.7096 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2444 loss: 1.2444 2022/07/23 09:11:01 - mmengine - INFO - Epoch(train) [44][1900/3757] lr: 1.0000e-03 eta: 1 day, 15:19:03 time: 0.6474 data_time: 0.0235 memory: 17350 grad_norm: 5.7222 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2781 loss: 1.2781 2022/07/23 09:11:14 - mmengine - INFO - Epoch(train) [44][1920/3757] lr: 1.0000e-03 eta: 1 day, 15:18:50 time: 0.6772 data_time: 0.0221 memory: 17350 grad_norm: 5.9458 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1668 loss: 1.1668 2022/07/23 09:11:28 - mmengine - INFO - Epoch(train) [44][1940/3757] lr: 1.0000e-03 eta: 1 day, 15:18:38 time: 0.6966 data_time: 0.0237 memory: 17350 grad_norm: 5.6976 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2301 loss: 1.2301 2022/07/23 09:11:41 - mmengine - INFO - Epoch(train) [44][1960/3757] lr: 1.0000e-03 eta: 1 day, 15:18:24 time: 0.6367 data_time: 0.0227 memory: 17350 grad_norm: 5.4549 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0884 loss: 1.0884 2022/07/23 09:11:54 - mmengine - INFO - Epoch(train) [44][1980/3757] lr: 1.0000e-03 eta: 1 day, 15:18:10 time: 0.6539 data_time: 0.0217 memory: 17350 grad_norm: 5.5340 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3316 loss: 1.3316 2022/07/23 09:12:06 - mmengine - INFO - Epoch(train) [44][2000/3757] lr: 1.0000e-03 eta: 1 day, 15:17:55 time: 0.6221 data_time: 0.0659 memory: 17350 grad_norm: 5.5998 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4712 loss: 1.4712 2022/07/23 09:12:20 - mmengine - INFO - Epoch(train) [44][2020/3757] lr: 1.0000e-03 eta: 1 day, 15:17:43 time: 0.6893 data_time: 0.1427 memory: 17350 grad_norm: 5.6187 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4984 loss: 1.4984 2022/07/23 09:12:33 - mmengine - INFO - Epoch(train) [44][2040/3757] lr: 1.0000e-03 eta: 1 day, 15:17:28 time: 0.6271 data_time: 0.0862 memory: 17350 grad_norm: 5.7134 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3880 loss: 1.3880 2022/07/23 09:12:47 - mmengine - INFO - Epoch(train) [44][2060/3757] lr: 1.0000e-03 eta: 1 day, 15:17:16 time: 0.7027 data_time: 0.2124 memory: 17350 grad_norm: 5.5204 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2279 loss: 1.2279 2022/07/23 09:13:01 - mmengine - INFO - Epoch(train) [44][2080/3757] lr: 1.0000e-03 eta: 1 day, 15:17:04 time: 0.7022 data_time: 0.1514 memory: 17350 grad_norm: 5.8152 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3574 loss: 1.3574 2022/07/23 09:13:14 - mmengine - INFO - Epoch(train) [44][2100/3757] lr: 1.0000e-03 eta: 1 day, 15:16:50 time: 0.6751 data_time: 0.2590 memory: 17350 grad_norm: 5.7546 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3717 loss: 1.3717 2022/07/23 09:13:27 - mmengine - INFO - Epoch(train) [44][2120/3757] lr: 1.0000e-03 eta: 1 day, 15:16:36 time: 0.6169 data_time: 0.1984 memory: 17350 grad_norm: 5.5122 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2294 loss: 1.2294 2022/07/23 09:13:41 - mmengine - INFO - Epoch(train) [44][2140/3757] lr: 1.0000e-03 eta: 1 day, 15:16:24 time: 0.7283 data_time: 0.3485 memory: 17350 grad_norm: 5.6266 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2319 loss: 1.2319 2022/07/23 09:13:55 - mmengine - INFO - Epoch(train) [44][2160/3757] lr: 1.0000e-03 eta: 1 day, 15:16:11 time: 0.6769 data_time: 0.1996 memory: 17350 grad_norm: 5.6876 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5962 loss: 1.5962 2022/07/23 09:14:08 - mmengine - INFO - Epoch(train) [44][2180/3757] lr: 1.0000e-03 eta: 1 day, 15:15:57 time: 0.6524 data_time: 0.2715 memory: 17350 grad_norm: 5.7908 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5070 loss: 1.5070 2022/07/23 09:14:21 - mmengine - INFO - Epoch(train) [44][2200/3757] lr: 1.0000e-03 eta: 1 day, 15:15:44 time: 0.6521 data_time: 0.2154 memory: 17350 grad_norm: 5.8620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3057 loss: 1.3057 2022/07/23 09:14:35 - mmengine - INFO - Epoch(train) [44][2220/3757] lr: 1.0000e-03 eta: 1 day, 15:15:30 time: 0.6785 data_time: 0.2854 memory: 17350 grad_norm: 5.5974 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9932 loss: 0.9932 2022/07/23 09:14:47 - mmengine - INFO - Epoch(train) [44][2240/3757] lr: 1.0000e-03 eta: 1 day, 15:15:17 time: 0.6428 data_time: 0.2856 memory: 17350 grad_norm: 5.8012 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3573 loss: 1.3573 2022/07/23 09:15:02 - mmengine - INFO - Epoch(train) [44][2260/3757] lr: 1.0000e-03 eta: 1 day, 15:15:05 time: 0.7204 data_time: 0.3642 memory: 17350 grad_norm: 5.7488 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1052 loss: 1.1052 2022/07/23 09:15:14 - mmengine - INFO - Epoch(train) [44][2280/3757] lr: 1.0000e-03 eta: 1 day, 15:14:50 time: 0.6254 data_time: 0.2912 memory: 17350 grad_norm: 5.8358 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5853 loss: 1.5853 2022/07/23 09:15:28 - mmengine - INFO - Epoch(train) [44][2300/3757] lr: 1.0000e-03 eta: 1 day, 15:14:37 time: 0.6802 data_time: 0.3444 memory: 17350 grad_norm: 5.8965 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4363 loss: 1.4363 2022/07/23 09:15:40 - mmengine - INFO - Epoch(train) [44][2320/3757] lr: 1.0000e-03 eta: 1 day, 15:14:22 time: 0.6080 data_time: 0.2756 memory: 17350 grad_norm: 5.6369 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2072 loss: 1.2072 2022/07/23 09:15:55 - mmengine - INFO - Epoch(train) [44][2340/3757] lr: 1.0000e-03 eta: 1 day, 15:14:11 time: 0.7378 data_time: 0.4022 memory: 17350 grad_norm: 5.9323 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4924 loss: 1.4924 2022/07/23 09:16:07 - mmengine - INFO - Epoch(train) [44][2360/3757] lr: 1.0000e-03 eta: 1 day, 15:13:56 time: 0.6023 data_time: 0.2651 memory: 17350 grad_norm: 5.9294 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4661 loss: 1.4661 2022/07/23 09:16:20 - mmengine - INFO - Epoch(train) [44][2380/3757] lr: 1.0000e-03 eta: 1 day, 15:13:42 time: 0.6614 data_time: 0.3195 memory: 17350 grad_norm: 5.8106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2493 loss: 1.2493 2022/07/23 09:16:32 - mmengine - INFO - Epoch(train) [44][2400/3757] lr: 1.0000e-03 eta: 1 day, 15:13:27 time: 0.5974 data_time: 0.2350 memory: 17350 grad_norm: 5.7515 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4123 loss: 1.4123 2022/07/23 09:16:46 - mmengine - INFO - Epoch(train) [44][2420/3757] lr: 1.0000e-03 eta: 1 day, 15:13:15 time: 0.7028 data_time: 0.3696 memory: 17350 grad_norm: 5.7467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2944 loss: 1.2944 2022/07/23 09:16:58 - mmengine - INFO - Epoch(train) [44][2440/3757] lr: 1.0000e-03 eta: 1 day, 15:13:00 time: 0.6108 data_time: 0.2748 memory: 17350 grad_norm: 5.5474 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3332 loss: 1.3332 2022/07/23 09:17:07 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 09:17:13 - mmengine - INFO - Epoch(train) [44][2460/3757] lr: 1.0000e-03 eta: 1 day, 15:12:48 time: 0.7202 data_time: 0.3595 memory: 17350 grad_norm: 5.6837 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2930 loss: 1.2930 2022/07/23 09:17:25 - mmengine - INFO - Epoch(train) [44][2480/3757] lr: 1.0000e-03 eta: 1 day, 15:12:33 time: 0.6203 data_time: 0.2000 memory: 17350 grad_norm: 5.9644 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4829 loss: 1.4829 2022/07/23 09:17:40 - mmengine - INFO - Epoch(train) [44][2500/3757] lr: 1.0000e-03 eta: 1 day, 15:12:22 time: 0.7564 data_time: 0.2776 memory: 17350 grad_norm: 5.8680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2222 loss: 1.2222 2022/07/23 09:17:53 - mmengine - INFO - Epoch(train) [44][2520/3757] lr: 1.0000e-03 eta: 1 day, 15:12:08 time: 0.6148 data_time: 0.2392 memory: 17350 grad_norm: 5.8814 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3816 loss: 1.3816 2022/07/23 09:18:07 - mmengine - INFO - Epoch(train) [44][2540/3757] lr: 1.0000e-03 eta: 1 day, 15:11:55 time: 0.6877 data_time: 0.1998 memory: 17350 grad_norm: 5.6007 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2068 loss: 1.2068 2022/07/23 09:18:21 - mmengine - INFO - Epoch(train) [44][2560/3757] lr: 1.0000e-03 eta: 1 day, 15:11:43 time: 0.7236 data_time: 0.1184 memory: 17350 grad_norm: 5.7827 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2452 loss: 1.2452 2022/07/23 09:18:33 - mmengine - INFO - Epoch(train) [44][2580/3757] lr: 1.0000e-03 eta: 1 day, 15:11:28 time: 0.6150 data_time: 0.0539 memory: 17350 grad_norm: 5.8456 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3905 loss: 1.3905 2022/07/23 09:18:47 - mmengine - INFO - Epoch(train) [44][2600/3757] lr: 1.0000e-03 eta: 1 day, 15:11:16 time: 0.7029 data_time: 0.1104 memory: 17350 grad_norm: 5.9535 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4494 loss: 1.4494 2022/07/23 09:19:00 - mmengine - INFO - Epoch(train) [44][2620/3757] lr: 1.0000e-03 eta: 1 day, 15:11:02 time: 0.6453 data_time: 0.1305 memory: 17350 grad_norm: 5.7383 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4450 loss: 1.4450 2022/07/23 09:19:14 - mmengine - INFO - Epoch(train) [44][2640/3757] lr: 1.0000e-03 eta: 1 day, 15:10:50 time: 0.7044 data_time: 0.0635 memory: 17350 grad_norm: 5.8673 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3029 loss: 1.3029 2022/07/23 09:19:27 - mmengine - INFO - Epoch(train) [44][2660/3757] lr: 1.0000e-03 eta: 1 day, 15:10:35 time: 0.6290 data_time: 0.1496 memory: 17350 grad_norm: 5.6439 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5619 loss: 1.5619 2022/07/23 09:19:41 - mmengine - INFO - Epoch(train) [44][2680/3757] lr: 1.0000e-03 eta: 1 day, 15:10:22 time: 0.6779 data_time: 0.0839 memory: 17350 grad_norm: 5.7412 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2546 loss: 1.2546 2022/07/23 09:19:53 - mmengine - INFO - Epoch(train) [44][2700/3757] lr: 1.0000e-03 eta: 1 day, 15:10:09 time: 0.6471 data_time: 0.1819 memory: 17350 grad_norm: 5.5442 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4310 loss: 1.4310 2022/07/23 09:20:07 - mmengine - INFO - Epoch(train) [44][2720/3757] lr: 1.0000e-03 eta: 1 day, 15:09:56 time: 0.6924 data_time: 0.2033 memory: 17350 grad_norm: 5.9487 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4161 loss: 1.4161 2022/07/23 09:20:22 - mmengine - INFO - Epoch(train) [44][2740/3757] lr: 1.0000e-03 eta: 1 day, 15:09:44 time: 0.7162 data_time: 0.3107 memory: 17350 grad_norm: 5.8482 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3699 loss: 1.3699 2022/07/23 09:20:34 - mmengine - INFO - Epoch(train) [44][2760/3757] lr: 1.0000e-03 eta: 1 day, 15:09:30 time: 0.6384 data_time: 0.2685 memory: 17350 grad_norm: 5.8341 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7406 loss: 1.7406 2022/07/23 09:20:48 - mmengine - INFO - Epoch(train) [44][2780/3757] lr: 1.0000e-03 eta: 1 day, 15:09:17 time: 0.6927 data_time: 0.2894 memory: 17350 grad_norm: 5.7482 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5012 loss: 1.5012 2022/07/23 09:21:01 - mmengine - INFO - Epoch(train) [44][2800/3757] lr: 1.0000e-03 eta: 1 day, 15:09:03 time: 0.6405 data_time: 0.2013 memory: 17350 grad_norm: 5.7720 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4063 loss: 1.4063 2022/07/23 09:21:14 - mmengine - INFO - Epoch(train) [44][2820/3757] lr: 1.0000e-03 eta: 1 day, 15:08:49 time: 0.6487 data_time: 0.1761 memory: 17350 grad_norm: 5.8183 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2502 loss: 1.2502 2022/07/23 09:21:28 - mmengine - INFO - Epoch(train) [44][2840/3757] lr: 1.0000e-03 eta: 1 day, 15:08:37 time: 0.7139 data_time: 0.0361 memory: 17350 grad_norm: 5.6638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4472 loss: 1.4472 2022/07/23 09:21:41 - mmengine - INFO - Epoch(train) [44][2860/3757] lr: 1.0000e-03 eta: 1 day, 15:08:23 time: 0.6256 data_time: 0.0281 memory: 17350 grad_norm: 5.6863 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4005 loss: 1.4005 2022/07/23 09:21:55 - mmengine - INFO - Epoch(train) [44][2880/3757] lr: 1.0000e-03 eta: 1 day, 15:08:11 time: 0.7131 data_time: 0.1244 memory: 17350 grad_norm: 5.7384 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4575 loss: 1.4575 2022/07/23 09:22:08 - mmengine - INFO - Epoch(train) [44][2900/3757] lr: 1.0000e-03 eta: 1 day, 15:07:56 time: 0.6376 data_time: 0.1795 memory: 17350 grad_norm: 5.6874 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1836 loss: 1.1836 2022/07/23 09:22:21 - mmengine - INFO - Epoch(train) [44][2920/3757] lr: 1.0000e-03 eta: 1 day, 15:07:43 time: 0.6506 data_time: 0.2100 memory: 17350 grad_norm: 5.7304 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3752 loss: 1.3752 2022/07/23 09:22:35 - mmengine - INFO - Epoch(train) [44][2940/3757] lr: 1.0000e-03 eta: 1 day, 15:07:30 time: 0.7085 data_time: 0.3524 memory: 17350 grad_norm: 5.8573 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1244 loss: 1.1244 2022/07/23 09:22:48 - mmengine - INFO - Epoch(train) [44][2960/3757] lr: 1.0000e-03 eta: 1 day, 15:07:16 time: 0.6241 data_time: 0.1900 memory: 17350 grad_norm: 5.6469 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1605 loss: 1.1605 2022/07/23 09:23:01 - mmengine - INFO - Epoch(train) [44][2980/3757] lr: 1.0000e-03 eta: 1 day, 15:07:02 time: 0.6501 data_time: 0.1216 memory: 17350 grad_norm: 5.6722 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4197 loss: 1.4197 2022/07/23 09:23:16 - mmengine - INFO - Epoch(train) [44][3000/3757] lr: 1.0000e-03 eta: 1 day, 15:06:51 time: 0.7674 data_time: 0.1313 memory: 17350 grad_norm: 5.8323 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2621 loss: 1.2621 2022/07/23 09:23:27 - mmengine - INFO - Epoch(train) [44][3020/3757] lr: 1.0000e-03 eta: 1 day, 15:06:35 time: 0.5623 data_time: 0.0232 memory: 17350 grad_norm: 5.6313 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3356 loss: 1.3356 2022/07/23 09:23:41 - mmengine - INFO - Epoch(train) [44][3040/3757] lr: 1.0000e-03 eta: 1 day, 15:06:22 time: 0.6726 data_time: 0.0741 memory: 17350 grad_norm: 5.9349 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2845 loss: 1.2845 2022/07/23 09:23:55 - mmengine - INFO - Epoch(train) [44][3060/3757] lr: 1.0000e-03 eta: 1 day, 15:06:10 time: 0.6929 data_time: 0.3506 memory: 17350 grad_norm: 5.6929 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2064 loss: 1.2064 2022/07/23 09:24:07 - mmengine - INFO - Epoch(train) [44][3080/3757] lr: 1.0000e-03 eta: 1 day, 15:05:55 time: 0.6145 data_time: 0.1194 memory: 17350 grad_norm: 5.8916 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5022 loss: 1.5022 2022/07/23 09:24:22 - mmengine - INFO - Epoch(train) [44][3100/3757] lr: 1.0000e-03 eta: 1 day, 15:05:43 time: 0.7334 data_time: 0.0893 memory: 17350 grad_norm: 5.8600 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4371 loss: 1.4371 2022/07/23 09:24:35 - mmengine - INFO - Epoch(train) [44][3120/3757] lr: 1.0000e-03 eta: 1 day, 15:05:29 time: 0.6490 data_time: 0.0213 memory: 17350 grad_norm: 5.6241 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2523 loss: 1.2523 2022/07/23 09:24:48 - mmengine - INFO - Epoch(train) [44][3140/3757] lr: 1.0000e-03 eta: 1 day, 15:05:16 time: 0.6712 data_time: 0.0235 memory: 17350 grad_norm: 5.9010 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4487 loss: 1.4487 2022/07/23 09:25:01 - mmengine - INFO - Epoch(train) [44][3160/3757] lr: 1.0000e-03 eta: 1 day, 15:05:02 time: 0.6458 data_time: 0.0235 memory: 17350 grad_norm: 5.8162 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3409 loss: 1.3409 2022/07/23 09:25:15 - mmengine - INFO - Epoch(train) [44][3180/3757] lr: 1.0000e-03 eta: 1 day, 15:04:50 time: 0.6948 data_time: 0.0212 memory: 17350 grad_norm: 5.5543 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5946 loss: 1.5946 2022/07/23 09:25:28 - mmengine - INFO - Epoch(train) [44][3200/3757] lr: 1.0000e-03 eta: 1 day, 15:04:36 time: 0.6564 data_time: 0.0236 memory: 17350 grad_norm: 5.7811 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2083 loss: 1.2083 2022/07/23 09:25:41 - mmengine - INFO - Epoch(train) [44][3220/3757] lr: 1.0000e-03 eta: 1 day, 15:04:23 time: 0.6695 data_time: 0.0232 memory: 17350 grad_norm: 5.9088 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4421 loss: 1.4421 2022/07/23 09:25:55 - mmengine - INFO - Epoch(train) [44][3240/3757] lr: 1.0000e-03 eta: 1 day, 15:04:10 time: 0.6769 data_time: 0.0243 memory: 17350 grad_norm: 5.7496 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2122 loss: 1.2122 2022/07/23 09:26:08 - mmengine - INFO - Epoch(train) [44][3260/3757] lr: 1.0000e-03 eta: 1 day, 15:03:56 time: 0.6364 data_time: 0.0234 memory: 17350 grad_norm: 5.9118 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3326 loss: 1.3326 2022/07/23 09:26:22 - mmengine - INFO - Epoch(train) [44][3280/3757] lr: 1.0000e-03 eta: 1 day, 15:03:44 time: 0.7226 data_time: 0.0229 memory: 17350 grad_norm: 5.7844 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3247 loss: 1.3247 2022/07/23 09:26:35 - mmengine - INFO - Epoch(train) [44][3300/3757] lr: 1.0000e-03 eta: 1 day, 15:03:29 time: 0.6223 data_time: 0.0224 memory: 17350 grad_norm: 5.8122 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1975 loss: 1.1975 2022/07/23 09:26:49 - mmengine - INFO - Epoch(train) [44][3320/3757] lr: 1.0000e-03 eta: 1 day, 15:03:17 time: 0.7217 data_time: 0.0211 memory: 17350 grad_norm: 5.7527 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5380 loss: 1.5380 2022/07/23 09:27:02 - mmengine - INFO - Epoch(train) [44][3340/3757] lr: 1.0000e-03 eta: 1 day, 15:03:03 time: 0.6359 data_time: 0.0272 memory: 17350 grad_norm: 5.6983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1820 loss: 1.1820 2022/07/23 09:27:15 - mmengine - INFO - Epoch(train) [44][3360/3757] lr: 1.0000e-03 eta: 1 day, 15:02:50 time: 0.6683 data_time: 0.0249 memory: 17350 grad_norm: 6.0812 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4410 loss: 1.4410 2022/07/23 09:27:28 - mmengine - INFO - Epoch(train) [44][3380/3757] lr: 1.0000e-03 eta: 1 day, 15:02:36 time: 0.6314 data_time: 0.0205 memory: 17350 grad_norm: 5.6708 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4006 loss: 1.4006 2022/07/23 09:27:42 - mmengine - INFO - Epoch(train) [44][3400/3757] lr: 1.0000e-03 eta: 1 day, 15:02:23 time: 0.6877 data_time: 0.0240 memory: 17350 grad_norm: 5.8951 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4318 loss: 1.4318 2022/07/23 09:27:53 - mmengine - INFO - Epoch(train) [44][3420/3757] lr: 1.0000e-03 eta: 1 day, 15:02:07 time: 0.5801 data_time: 0.0230 memory: 17350 grad_norm: 5.7501 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3935 loss: 1.3935 2022/07/23 09:28:07 - mmengine - INFO - Epoch(train) [44][3440/3757] lr: 1.0000e-03 eta: 1 day, 15:01:55 time: 0.7105 data_time: 0.0217 memory: 17350 grad_norm: 5.6367 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4069 loss: 1.4069 2022/07/23 09:28:13 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 09:28:20 - mmengine - INFO - Epoch(train) [44][3460/3757] lr: 1.0000e-03 eta: 1 day, 15:01:41 time: 0.6372 data_time: 0.0235 memory: 17350 grad_norm: 5.9351 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2957 loss: 1.2957 2022/07/23 09:28:35 - mmengine - INFO - Epoch(train) [44][3480/3757] lr: 1.0000e-03 eta: 1 day, 15:01:30 time: 0.7570 data_time: 0.0215 memory: 17350 grad_norm: 5.9876 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2160 loss: 1.2160 2022/07/23 09:28:47 - mmengine - INFO - Epoch(train) [44][3500/3757] lr: 1.0000e-03 eta: 1 day, 15:01:15 time: 0.5947 data_time: 0.0245 memory: 17350 grad_norm: 5.7481 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4178 loss: 1.4178 2022/07/23 09:29:02 - mmengine - INFO - Epoch(train) [44][3520/3757] lr: 1.0000e-03 eta: 1 day, 15:01:03 time: 0.7325 data_time: 0.0262 memory: 17350 grad_norm: 5.9214 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5033 loss: 1.5033 2022/07/23 09:29:13 - mmengine - INFO - Epoch(train) [44][3540/3757] lr: 1.0000e-03 eta: 1 day, 15:00:47 time: 0.5539 data_time: 0.0244 memory: 17350 grad_norm: 5.8955 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3719 loss: 1.3719 2022/07/23 09:29:27 - mmengine - INFO - Epoch(train) [44][3560/3757] lr: 1.0000e-03 eta: 1 day, 15:00:35 time: 0.7155 data_time: 0.0250 memory: 17350 grad_norm: 5.9977 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6815 loss: 1.6815 2022/07/23 09:29:39 - mmengine - INFO - Epoch(train) [44][3580/3757] lr: 1.0000e-03 eta: 1 day, 15:00:19 time: 0.5715 data_time: 0.0510 memory: 17350 grad_norm: 5.7255 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4851 loss: 1.4851 2022/07/23 09:29:53 - mmengine - INFO - Epoch(train) [44][3600/3757] lr: 1.0000e-03 eta: 1 day, 15:00:07 time: 0.7219 data_time: 0.0338 memory: 17350 grad_norm: 5.8635 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5035 loss: 1.5035 2022/07/23 09:30:06 - mmengine - INFO - Epoch(train) [44][3620/3757] lr: 1.0000e-03 eta: 1 day, 14:59:53 time: 0.6286 data_time: 0.0263 memory: 17350 grad_norm: 5.8148 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3330 loss: 1.3330 2022/07/23 09:30:20 - mmengine - INFO - Epoch(train) [44][3640/3757] lr: 1.0000e-03 eta: 1 day, 14:59:41 time: 0.7375 data_time: 0.0297 memory: 17350 grad_norm: 5.8059 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3998 loss: 1.3998 2022/07/23 09:30:32 - mmengine - INFO - Epoch(train) [44][3660/3757] lr: 1.0000e-03 eta: 1 day, 14:59:26 time: 0.5965 data_time: 0.0547 memory: 17350 grad_norm: 5.6801 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1894 loss: 1.1894 2022/07/23 09:30:48 - mmengine - INFO - Epoch(train) [44][3680/3757] lr: 1.0000e-03 eta: 1 day, 14:59:15 time: 0.7656 data_time: 0.0705 memory: 17350 grad_norm: 5.6926 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3889 loss: 1.3889 2022/07/23 09:31:00 - mmengine - INFO - Epoch(train) [44][3700/3757] lr: 1.0000e-03 eta: 1 day, 14:59:00 time: 0.6014 data_time: 0.1536 memory: 17350 grad_norm: 5.9007 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3450 loss: 1.3450 2022/07/23 09:31:14 - mmengine - INFO - Epoch(train) [44][3720/3757] lr: 1.0000e-03 eta: 1 day, 14:58:48 time: 0.7106 data_time: 0.0660 memory: 17350 grad_norm: 5.8767 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5164 loss: 1.5164 2022/07/23 09:31:26 - mmengine - INFO - Epoch(train) [44][3740/3757] lr: 1.0000e-03 eta: 1 day, 14:58:34 time: 0.6199 data_time: 0.0242 memory: 17350 grad_norm: 5.8876 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6102 loss: 1.6102 2022/07/23 09:31:35 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 09:31:35 - mmengine - INFO - Epoch(train) [44][3757/3757] lr: 1.0000e-03 eta: 1 day, 14:58:34 time: 0.5050 data_time: 0.0350 memory: 17350 grad_norm: 6.0570 top1_acc: 0.1429 top5_acc: 1.0000 loss_cls: 1.4574 loss: 1.4574 2022/07/23 09:31:51 - mmengine - INFO - Epoch(val) [44][20/310] eta: 0:03:56 time: 0.8139 data_time: 0.6989 memory: 3406 2022/07/23 09:32:02 - mmengine - INFO - Epoch(val) [44][40/310] eta: 0:02:33 time: 0.5703 data_time: 0.4592 memory: 3406 2022/07/23 09:32:17 - mmengine - INFO - Epoch(val) [44][60/310] eta: 0:03:01 time: 0.7277 data_time: 0.6142 memory: 3406 2022/07/23 09:32:28 - mmengine - INFO - Epoch(val) [44][80/310] eta: 0:02:10 time: 0.5669 data_time: 0.4541 memory: 3406 2022/07/23 09:32:44 - mmengine - INFO - Epoch(val) [44][100/310] eta: 0:02:44 time: 0.7810 data_time: 0.6681 memory: 3406 2022/07/23 09:32:55 - mmengine - INFO - Epoch(val) [44][120/310] eta: 0:01:43 time: 0.5446 data_time: 0.4329 memory: 3406 2022/07/23 09:33:11 - mmengine - INFO - Epoch(val) [44][140/310] eta: 0:02:14 time: 0.7887 data_time: 0.6761 memory: 3406 2022/07/23 09:33:23 - mmengine - INFO - Epoch(val) [44][160/310] eta: 0:01:29 time: 0.5984 data_time: 0.4860 memory: 3406 2022/07/23 09:33:38 - mmengine - INFO - Epoch(val) [44][180/310] eta: 0:01:40 time: 0.7694 data_time: 0.6552 memory: 3406 2022/07/23 09:33:48 - mmengine - INFO - Epoch(val) [44][200/310] eta: 0:00:57 time: 0.5202 data_time: 0.4095 memory: 3406 2022/07/23 09:34:03 - mmengine - INFO - Epoch(val) [44][220/310] eta: 0:01:06 time: 0.7368 data_time: 0.6251 memory: 3406 2022/07/23 09:34:14 - mmengine - INFO - Epoch(val) [44][240/310] eta: 0:00:39 time: 0.5605 data_time: 0.4477 memory: 3406 2022/07/23 09:34:29 - mmengine - INFO - Epoch(val) [44][260/310] eta: 0:00:36 time: 0.7380 data_time: 0.6236 memory: 3406 2022/07/23 09:34:41 - mmengine - INFO - Epoch(val) [44][280/310] eta: 0:00:17 time: 0.5753 data_time: 0.4637 memory: 3406 2022/07/23 09:34:55 - mmengine - INFO - Epoch(val) [44][300/310] eta: 0:00:07 time: 0.7219 data_time: 0.6074 memory: 3406 2022/07/23 09:35:01 - mmengine - INFO - Epoch(val) [44][310/310] acc/top1: 0.6669 acc/top5: 0.8691 acc/mean1: 0.6668 2022/07/23 09:35:01 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_44.pth is removed 2022/07/23 09:35:03 - mmengine - INFO - The best checkpoint with 0.6669 acc/top1 at 45 epoch is saved to best_acc/top1_epoch_45.pth. 2022/07/23 09:35:20 - mmengine - INFO - Epoch(train) [45][20/3757] lr: 1.0000e-03 eta: 1 day, 14:58:00 time: 0.8687 data_time: 0.5338 memory: 17350 grad_norm: 5.8329 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4306 loss: 1.4306 2022/07/23 09:35:32 - mmengine - INFO - Epoch(train) [45][40/3757] lr: 1.0000e-03 eta: 1 day, 14:57:44 time: 0.5972 data_time: 0.2666 memory: 17350 grad_norm: 5.6162 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3763 loss: 1.3763 2022/07/23 09:35:46 - mmengine - INFO - Epoch(train) [45][60/3757] lr: 1.0000e-03 eta: 1 day, 14:57:32 time: 0.7035 data_time: 0.2977 memory: 17350 grad_norm: 5.9731 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6087 loss: 1.6087 2022/07/23 09:35:59 - mmengine - INFO - Epoch(train) [45][80/3757] lr: 1.0000e-03 eta: 1 day, 14:57:18 time: 0.6245 data_time: 0.2048 memory: 17350 grad_norm: 5.5128 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3032 loss: 1.3032 2022/07/23 09:36:13 - mmengine - INFO - Epoch(train) [45][100/3757] lr: 1.0000e-03 eta: 1 day, 14:57:05 time: 0.7117 data_time: 0.2952 memory: 17350 grad_norm: 5.8306 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3721 loss: 1.3721 2022/07/23 09:36:26 - mmengine - INFO - Epoch(train) [45][120/3757] lr: 1.0000e-03 eta: 1 day, 14:56:51 time: 0.6292 data_time: 0.2338 memory: 17350 grad_norm: 5.8319 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3419 loss: 1.3419 2022/07/23 09:36:40 - mmengine - INFO - Epoch(train) [45][140/3757] lr: 1.0000e-03 eta: 1 day, 14:56:39 time: 0.7043 data_time: 0.2905 memory: 17350 grad_norm: 5.9703 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4171 loss: 1.4171 2022/07/23 09:36:52 - mmengine - INFO - Epoch(train) [45][160/3757] lr: 1.0000e-03 eta: 1 day, 14:56:24 time: 0.6181 data_time: 0.2509 memory: 17350 grad_norm: 5.5597 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3696 loss: 1.3696 2022/07/23 09:37:06 - mmengine - INFO - Epoch(train) [45][180/3757] lr: 1.0000e-03 eta: 1 day, 14:56:12 time: 0.7073 data_time: 0.2656 memory: 17350 grad_norm: 5.9946 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1983 loss: 1.1983 2022/07/23 09:37:19 - mmengine - INFO - Epoch(train) [45][200/3757] lr: 1.0000e-03 eta: 1 day, 14:55:58 time: 0.6310 data_time: 0.1606 memory: 17350 grad_norm: 6.0307 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5651 loss: 1.5651 2022/07/23 09:37:33 - mmengine - INFO - Epoch(train) [45][220/3757] lr: 1.0000e-03 eta: 1 day, 14:55:46 time: 0.7236 data_time: 0.3090 memory: 17350 grad_norm: 5.7774 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3736 loss: 1.3736 2022/07/23 09:37:46 - mmengine - INFO - Epoch(train) [45][240/3757] lr: 1.0000e-03 eta: 1 day, 14:55:31 time: 0.6241 data_time: 0.2178 memory: 17350 grad_norm: 5.9193 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4882 loss: 1.4882 2022/07/23 09:38:00 - mmengine - INFO - Epoch(train) [45][260/3757] lr: 1.0000e-03 eta: 1 day, 14:55:19 time: 0.7134 data_time: 0.2922 memory: 17350 grad_norm: 5.8148 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3375 loss: 1.3375 2022/07/23 09:38:12 - mmengine - INFO - Epoch(train) [45][280/3757] lr: 1.0000e-03 eta: 1 day, 14:55:04 time: 0.6062 data_time: 0.2724 memory: 17350 grad_norm: 5.9847 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2720 loss: 1.2720 2022/07/23 09:38:27 - mmengine - INFO - Epoch(train) [45][300/3757] lr: 1.0000e-03 eta: 1 day, 14:54:53 time: 0.7370 data_time: 0.4002 memory: 17350 grad_norm: 5.6641 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2301 loss: 1.2301 2022/07/23 09:38:39 - mmengine - INFO - Epoch(train) [45][320/3757] lr: 1.0000e-03 eta: 1 day, 14:54:38 time: 0.5929 data_time: 0.2443 memory: 17350 grad_norm: 6.0777 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3835 loss: 1.3835 2022/07/23 09:38:53 - mmengine - INFO - Epoch(train) [45][340/3757] lr: 1.0000e-03 eta: 1 day, 14:54:25 time: 0.7121 data_time: 0.1833 memory: 17350 grad_norm: 5.9649 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3307 loss: 1.3307 2022/07/23 09:39:07 - mmengine - INFO - Epoch(train) [45][360/3757] lr: 1.0000e-03 eta: 1 day, 14:54:12 time: 0.6669 data_time: 0.0495 memory: 17350 grad_norm: 5.5282 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1916 loss: 1.1916 2022/07/23 09:39:20 - mmengine - INFO - Epoch(train) [45][380/3757] lr: 1.0000e-03 eta: 1 day, 14:53:58 time: 0.6567 data_time: 0.0252 memory: 17350 grad_norm: 5.9250 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2974 loss: 1.2974 2022/07/23 09:39:32 - mmengine - INFO - Epoch(train) [45][400/3757] lr: 1.0000e-03 eta: 1 day, 14:53:44 time: 0.6165 data_time: 0.0272 memory: 17350 grad_norm: 5.9467 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4070 loss: 1.4070 2022/07/23 09:39:47 - mmengine - INFO - Epoch(train) [45][420/3757] lr: 1.0000e-03 eta: 1 day, 14:53:32 time: 0.7384 data_time: 0.0232 memory: 17350 grad_norm: 5.5751 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3970 loss: 1.3970 2022/07/23 09:39:59 - mmengine - INFO - Epoch(train) [45][440/3757] lr: 1.0000e-03 eta: 1 day, 14:53:18 time: 0.6306 data_time: 0.0240 memory: 17350 grad_norm: 5.9560 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4070 loss: 1.4070 2022/07/23 09:40:14 - mmengine - INFO - Epoch(train) [45][460/3757] lr: 1.0000e-03 eta: 1 day, 14:53:06 time: 0.7355 data_time: 0.0246 memory: 17350 grad_norm: 5.6915 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3134 loss: 1.3134 2022/07/23 09:40:27 - mmengine - INFO - Epoch(train) [45][480/3757] lr: 1.0000e-03 eta: 1 day, 14:52:52 time: 0.6260 data_time: 0.0214 memory: 17350 grad_norm: 5.8092 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4056 loss: 1.4056 2022/07/23 09:40:41 - mmengine - INFO - Epoch(train) [45][500/3757] lr: 1.0000e-03 eta: 1 day, 14:52:41 time: 0.7374 data_time: 0.0230 memory: 17350 grad_norm: 5.8008 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4047 loss: 1.4047 2022/07/23 09:40:54 - mmengine - INFO - Epoch(train) [45][520/3757] lr: 1.0000e-03 eta: 1 day, 14:52:26 time: 0.6175 data_time: 0.0237 memory: 17350 grad_norm: 5.5214 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1627 loss: 1.1627 2022/07/23 09:41:08 - mmengine - INFO - Epoch(train) [45][540/3757] lr: 1.0000e-03 eta: 1 day, 14:52:14 time: 0.7029 data_time: 0.0219 memory: 17350 grad_norm: 5.5567 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1609 loss: 1.1609 2022/07/23 09:41:21 - mmengine - INFO - Epoch(train) [45][560/3757] lr: 1.0000e-03 eta: 1 day, 14:52:00 time: 0.6433 data_time: 0.0215 memory: 17350 grad_norm: 5.9701 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5334 loss: 1.5334 2022/07/23 09:41:35 - mmengine - INFO - Epoch(train) [45][580/3757] lr: 1.0000e-03 eta: 1 day, 14:51:47 time: 0.6971 data_time: 0.0225 memory: 17350 grad_norm: 5.7450 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2270 loss: 1.2270 2022/07/23 09:41:47 - mmengine - INFO - Epoch(train) [45][600/3757] lr: 1.0000e-03 eta: 1 day, 14:51:32 time: 0.6070 data_time: 0.0239 memory: 17350 grad_norm: 5.6164 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0853 loss: 1.0853 2022/07/23 09:42:02 - mmengine - INFO - Epoch(train) [45][620/3757] lr: 1.0000e-03 eta: 1 day, 14:51:21 time: 0.7395 data_time: 0.0229 memory: 17350 grad_norm: 5.8888 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2893 loss: 1.2893 2022/07/23 09:42:13 - mmengine - INFO - Epoch(train) [45][640/3757] lr: 1.0000e-03 eta: 1 day, 14:51:05 time: 0.5909 data_time: 0.0228 memory: 17350 grad_norm: 5.7133 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4943 loss: 1.4943 2022/07/23 09:42:28 - mmengine - INFO - Epoch(train) [45][660/3757] lr: 1.0000e-03 eta: 1 day, 14:50:53 time: 0.7016 data_time: 0.0230 memory: 17350 grad_norm: 5.9227 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4977 loss: 1.4977 2022/07/23 09:42:40 - mmengine - INFO - Epoch(train) [45][680/3757] lr: 1.0000e-03 eta: 1 day, 14:50:39 time: 0.6293 data_time: 0.0241 memory: 17350 grad_norm: 5.8482 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3928 loss: 1.3928 2022/07/23 09:42:49 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 09:42:55 - mmengine - INFO - Epoch(train) [45][700/3757] lr: 1.0000e-03 eta: 1 day, 14:50:27 time: 0.7245 data_time: 0.0247 memory: 17350 grad_norm: 5.7275 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5758 loss: 1.5758 2022/07/23 09:43:06 - mmengine - INFO - Epoch(train) [45][720/3757] lr: 1.0000e-03 eta: 1 day, 14:50:12 time: 0.5923 data_time: 0.0220 memory: 17350 grad_norm: 5.9669 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5395 loss: 1.5395 2022/07/23 09:43:20 - mmengine - INFO - Epoch(train) [45][740/3757] lr: 1.0000e-03 eta: 1 day, 14:49:59 time: 0.6917 data_time: 0.0216 memory: 17350 grad_norm: 5.7668 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3409 loss: 1.3409 2022/07/23 09:43:32 - mmengine - INFO - Epoch(train) [45][760/3757] lr: 1.0000e-03 eta: 1 day, 14:49:44 time: 0.5906 data_time: 0.0234 memory: 17350 grad_norm: 5.8637 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2006 loss: 1.2006 2022/07/23 09:43:47 - mmengine - INFO - Epoch(train) [45][780/3757] lr: 1.0000e-03 eta: 1 day, 14:49:32 time: 0.7488 data_time: 0.0210 memory: 17350 grad_norm: 5.8253 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2054 loss: 1.2054 2022/07/23 09:43:59 - mmengine - INFO - Epoch(train) [45][800/3757] lr: 1.0000e-03 eta: 1 day, 14:49:17 time: 0.5761 data_time: 0.0235 memory: 17350 grad_norm: 5.6602 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4473 loss: 1.4473 2022/07/23 09:44:13 - mmengine - INFO - Epoch(train) [45][820/3757] lr: 1.0000e-03 eta: 1 day, 14:49:05 time: 0.7224 data_time: 0.0213 memory: 17350 grad_norm: 6.0589 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5162 loss: 1.5162 2022/07/23 09:44:25 - mmengine - INFO - Epoch(train) [45][840/3757] lr: 1.0000e-03 eta: 1 day, 14:48:49 time: 0.5836 data_time: 0.0228 memory: 17350 grad_norm: 5.8007 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2581 loss: 1.2581 2022/07/23 09:44:40 - mmengine - INFO - Epoch(train) [45][860/3757] lr: 1.0000e-03 eta: 1 day, 14:48:38 time: 0.7509 data_time: 0.0216 memory: 17350 grad_norm: 5.9220 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2494 loss: 1.2494 2022/07/23 09:44:52 - mmengine - INFO - Epoch(train) [45][880/3757] lr: 1.0000e-03 eta: 1 day, 14:48:23 time: 0.6099 data_time: 0.0222 memory: 17350 grad_norm: 5.9009 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1791 loss: 1.1791 2022/07/23 09:45:08 - mmengine - INFO - Epoch(train) [45][900/3757] lr: 1.0000e-03 eta: 1 day, 14:48:13 time: 0.7834 data_time: 0.0215 memory: 17350 grad_norm: 5.9043 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3564 loss: 1.3564 2022/07/23 09:45:19 - mmengine - INFO - Epoch(train) [45][920/3757] lr: 1.0000e-03 eta: 1 day, 14:47:57 time: 0.5751 data_time: 0.0230 memory: 17350 grad_norm: 5.8609 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3874 loss: 1.3874 2022/07/23 09:45:34 - mmengine - INFO - Epoch(train) [45][940/3757] lr: 1.0000e-03 eta: 1 day, 14:47:45 time: 0.7167 data_time: 0.0220 memory: 17350 grad_norm: 5.6788 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3057 loss: 1.3057 2022/07/23 09:45:45 - mmengine - INFO - Epoch(train) [45][960/3757] lr: 1.0000e-03 eta: 1 day, 14:47:30 time: 0.5756 data_time: 0.0255 memory: 17350 grad_norm: 5.7394 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1043 loss: 1.1043 2022/07/23 09:46:00 - mmengine - INFO - Epoch(train) [45][980/3757] lr: 1.0000e-03 eta: 1 day, 14:47:19 time: 0.7672 data_time: 0.0215 memory: 17350 grad_norm: 5.6410 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2570 loss: 1.2570 2022/07/23 09:46:12 - mmengine - INFO - Epoch(train) [45][1000/3757] lr: 1.0000e-03 eta: 1 day, 14:47:03 time: 0.5873 data_time: 0.0301 memory: 17350 grad_norm: 5.8186 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2730 loss: 1.2730 2022/07/23 09:46:27 - mmengine - INFO - Epoch(train) [45][1020/3757] lr: 1.0000e-03 eta: 1 day, 14:46:51 time: 0.7161 data_time: 0.0227 memory: 17350 grad_norm: 5.8946 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2580 loss: 1.2580 2022/07/23 09:46:39 - mmengine - INFO - Epoch(train) [45][1040/3757] lr: 1.0000e-03 eta: 1 day, 14:46:37 time: 0.6098 data_time: 0.0245 memory: 17350 grad_norm: 5.7569 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2219 loss: 1.2219 2022/07/23 09:46:53 - mmengine - INFO - Epoch(train) [45][1060/3757] lr: 1.0000e-03 eta: 1 day, 14:46:25 time: 0.7329 data_time: 0.0260 memory: 17350 grad_norm: 5.9104 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5089 loss: 1.5089 2022/07/23 09:47:05 - mmengine - INFO - Epoch(train) [45][1080/3757] lr: 1.0000e-03 eta: 1 day, 14:46:09 time: 0.5756 data_time: 0.0238 memory: 17350 grad_norm: 5.9510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2799 loss: 1.2799 2022/07/23 09:47:20 - mmengine - INFO - Epoch(train) [45][1100/3757] lr: 1.0000e-03 eta: 1 day, 14:45:58 time: 0.7575 data_time: 0.0244 memory: 17350 grad_norm: 5.9363 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4314 loss: 1.4314 2022/07/23 09:47:31 - mmengine - INFO - Epoch(train) [45][1120/3757] lr: 1.0000e-03 eta: 1 day, 14:45:42 time: 0.5624 data_time: 0.0238 memory: 17350 grad_norm: 5.9694 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4254 loss: 1.4254 2022/07/23 09:47:46 - mmengine - INFO - Epoch(train) [45][1140/3757] lr: 1.0000e-03 eta: 1 day, 14:45:31 time: 0.7468 data_time: 0.0358 memory: 17350 grad_norm: 5.6934 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4086 loss: 1.4086 2022/07/23 09:47:59 - mmengine - INFO - Epoch(train) [45][1160/3757] lr: 1.0000e-03 eta: 1 day, 14:45:16 time: 0.6164 data_time: 0.0250 memory: 17350 grad_norm: 5.5798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2923 loss: 1.2923 2022/07/23 09:48:13 - mmengine - INFO - Epoch(train) [45][1180/3757] lr: 1.0000e-03 eta: 1 day, 14:45:04 time: 0.7249 data_time: 0.0311 memory: 17350 grad_norm: 5.9249 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1905 loss: 1.1905 2022/07/23 09:48:25 - mmengine - INFO - Epoch(train) [45][1200/3757] lr: 1.0000e-03 eta: 1 day, 14:44:49 time: 0.5966 data_time: 0.0231 memory: 17350 grad_norm: 5.7966 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3052 loss: 1.3052 2022/07/23 09:48:39 - mmengine - INFO - Epoch(train) [45][1220/3757] lr: 1.0000e-03 eta: 1 day, 14:44:37 time: 0.7028 data_time: 0.0228 memory: 17350 grad_norm: 5.6605 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6069 loss: 1.6069 2022/07/23 09:48:51 - mmengine - INFO - Epoch(train) [45][1240/3757] lr: 1.0000e-03 eta: 1 day, 14:44:22 time: 0.6082 data_time: 0.0262 memory: 17350 grad_norm: 5.9481 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0773 loss: 1.0773 2022/07/23 09:49:06 - mmengine - INFO - Epoch(train) [45][1260/3757] lr: 1.0000e-03 eta: 1 day, 14:44:10 time: 0.7304 data_time: 0.0295 memory: 17350 grad_norm: 5.7250 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4088 loss: 1.4088 2022/07/23 09:49:18 - mmengine - INFO - Epoch(train) [45][1280/3757] lr: 1.0000e-03 eta: 1 day, 14:43:56 time: 0.6188 data_time: 0.0228 memory: 17350 grad_norm: 5.8401 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4416 loss: 1.4416 2022/07/23 09:49:33 - mmengine - INFO - Epoch(train) [45][1300/3757] lr: 1.0000e-03 eta: 1 day, 14:43:44 time: 0.7146 data_time: 0.0267 memory: 17350 grad_norm: 5.7235 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3307 loss: 1.3307 2022/07/23 09:49:45 - mmengine - INFO - Epoch(train) [45][1320/3757] lr: 1.0000e-03 eta: 1 day, 14:43:29 time: 0.6234 data_time: 0.0160 memory: 17350 grad_norm: 5.7048 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2996 loss: 1.2996 2022/07/23 09:50:00 - mmengine - INFO - Epoch(train) [45][1340/3757] lr: 1.0000e-03 eta: 1 day, 14:43:17 time: 0.7245 data_time: 0.0222 memory: 17350 grad_norm: 5.7236 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5432 loss: 1.5432 2022/07/23 09:50:12 - mmengine - INFO - Epoch(train) [45][1360/3757] lr: 1.0000e-03 eta: 1 day, 14:43:03 time: 0.6326 data_time: 0.0252 memory: 17350 grad_norm: 5.7456 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1561 loss: 1.1561 2022/07/23 09:50:26 - mmengine - INFO - Epoch(train) [45][1380/3757] lr: 1.0000e-03 eta: 1 day, 14:42:50 time: 0.6893 data_time: 0.0230 memory: 17350 grad_norm: 5.5353 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9618 loss: 0.9618 2022/07/23 09:50:38 - mmengine - INFO - Epoch(train) [45][1400/3757] lr: 1.0000e-03 eta: 1 day, 14:42:36 time: 0.6049 data_time: 0.0222 memory: 17350 grad_norm: 5.8851 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4794 loss: 1.4794 2022/07/23 09:50:53 - mmengine - INFO - Epoch(train) [45][1420/3757] lr: 1.0000e-03 eta: 1 day, 14:42:24 time: 0.7193 data_time: 0.0257 memory: 17350 grad_norm: 5.7207 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3857 loss: 1.3857 2022/07/23 09:51:05 - mmengine - INFO - Epoch(train) [45][1440/3757] lr: 1.0000e-03 eta: 1 day, 14:42:08 time: 0.5986 data_time: 0.0242 memory: 17350 grad_norm: 5.5435 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1525 loss: 1.1525 2022/07/23 09:51:19 - mmengine - INFO - Epoch(train) [45][1460/3757] lr: 1.0000e-03 eta: 1 day, 14:41:57 time: 0.7382 data_time: 0.0157 memory: 17350 grad_norm: 5.7568 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3892 loss: 1.3892 2022/07/23 09:51:32 - mmengine - INFO - Epoch(train) [45][1480/3757] lr: 1.0000e-03 eta: 1 day, 14:41:42 time: 0.6119 data_time: 0.0225 memory: 17350 grad_norm: 5.7230 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3978 loss: 1.3978 2022/07/23 09:51:46 - mmengine - INFO - Epoch(train) [45][1500/3757] lr: 1.0000e-03 eta: 1 day, 14:41:31 time: 0.7400 data_time: 0.0225 memory: 17350 grad_norm: 5.5153 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1845 loss: 1.1845 2022/07/23 09:51:58 - mmengine - INFO - Epoch(train) [45][1520/3757] lr: 1.0000e-03 eta: 1 day, 14:41:15 time: 0.5877 data_time: 0.0225 memory: 17350 grad_norm: 5.8309 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2427 loss: 1.2427 2022/07/23 09:52:12 - mmengine - INFO - Epoch(train) [45][1540/3757] lr: 1.0000e-03 eta: 1 day, 14:41:03 time: 0.6988 data_time: 0.0252 memory: 17350 grad_norm: 5.8839 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4722 loss: 1.4722 2022/07/23 09:52:25 - mmengine - INFO - Epoch(train) [45][1560/3757] lr: 1.0000e-03 eta: 1 day, 14:40:48 time: 0.6232 data_time: 0.0216 memory: 17350 grad_norm: 5.8426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2256 loss: 1.2256 2022/07/23 09:52:38 - mmengine - INFO - Epoch(train) [45][1580/3757] lr: 1.0000e-03 eta: 1 day, 14:40:36 time: 0.6866 data_time: 0.0233 memory: 17350 grad_norm: 5.7122 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3190 loss: 1.3190 2022/07/23 09:52:51 - mmengine - INFO - Epoch(train) [45][1600/3757] lr: 1.0000e-03 eta: 1 day, 14:40:22 time: 0.6511 data_time: 0.0217 memory: 17350 grad_norm: 5.7017 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1129 loss: 1.1129 2022/07/23 09:53:06 - mmengine - INFO - Epoch(train) [45][1620/3757] lr: 1.0000e-03 eta: 1 day, 14:40:11 time: 0.7537 data_time: 0.0231 memory: 17350 grad_norm: 5.9407 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2787 loss: 1.2787 2022/07/23 09:53:18 - mmengine - INFO - Epoch(train) [45][1640/3757] lr: 1.0000e-03 eta: 1 day, 14:39:56 time: 0.5980 data_time: 0.0255 memory: 17350 grad_norm: 5.7444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1713 loss: 1.1713 2022/07/23 09:53:32 - mmengine - INFO - Epoch(train) [45][1660/3757] lr: 1.0000e-03 eta: 1 day, 14:39:43 time: 0.7011 data_time: 0.0218 memory: 17350 grad_norm: 5.8141 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4558 loss: 1.4558 2022/07/23 09:53:44 - mmengine - INFO - Epoch(train) [45][1680/3757] lr: 1.0000e-03 eta: 1 day, 14:39:28 time: 0.5798 data_time: 0.0217 memory: 17350 grad_norm: 5.6916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3779 loss: 1.3779 2022/07/23 09:53:53 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 09:53:59 - mmengine - INFO - Epoch(train) [45][1700/3757] lr: 1.0000e-03 eta: 1 day, 14:39:16 time: 0.7228 data_time: 0.0255 memory: 17350 grad_norm: 5.5785 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2761 loss: 1.2761 2022/07/23 09:54:11 - mmengine - INFO - Epoch(train) [45][1720/3757] lr: 1.0000e-03 eta: 1 day, 14:39:01 time: 0.6309 data_time: 0.0212 memory: 17350 grad_norm: 5.7199 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1824 loss: 1.1824 2022/07/23 09:54:25 - mmengine - INFO - Epoch(train) [45][1740/3757] lr: 1.0000e-03 eta: 1 day, 14:38:49 time: 0.6816 data_time: 0.0224 memory: 17350 grad_norm: 5.8035 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1420 loss: 1.1420 2022/07/23 09:54:38 - mmengine - INFO - Epoch(train) [45][1760/3757] lr: 1.0000e-03 eta: 1 day, 14:38:35 time: 0.6540 data_time: 0.0242 memory: 17350 grad_norm: 5.9780 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5736 loss: 1.5736 2022/07/23 09:54:53 - mmengine - INFO - Epoch(train) [45][1780/3757] lr: 1.0000e-03 eta: 1 day, 14:38:24 time: 0.7573 data_time: 0.0230 memory: 17350 grad_norm: 5.7169 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3091 loss: 1.3091 2022/07/23 09:55:05 - mmengine - INFO - Epoch(train) [45][1800/3757] lr: 1.0000e-03 eta: 1 day, 14:38:09 time: 0.5945 data_time: 0.0233 memory: 17350 grad_norm: 6.0339 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6586 loss: 1.6586 2022/07/23 09:55:20 - mmengine - INFO - Epoch(train) [45][1820/3757] lr: 1.0000e-03 eta: 1 day, 14:37:57 time: 0.7524 data_time: 0.0211 memory: 17350 grad_norm: 5.9161 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3143 loss: 1.3143 2022/07/23 09:55:32 - mmengine - INFO - Epoch(train) [45][1840/3757] lr: 1.0000e-03 eta: 1 day, 14:37:43 time: 0.6134 data_time: 0.0262 memory: 17350 grad_norm: 5.7836 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2401 loss: 1.2401 2022/07/23 09:55:48 - mmengine - INFO - Epoch(train) [45][1860/3757] lr: 1.0000e-03 eta: 1 day, 14:37:32 time: 0.7776 data_time: 0.0230 memory: 17350 grad_norm: 5.8667 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2939 loss: 1.2939 2022/07/23 09:55:59 - mmengine - INFO - Epoch(train) [45][1880/3757] lr: 1.0000e-03 eta: 1 day, 14:37:16 time: 0.5683 data_time: 0.0253 memory: 17350 grad_norm: 5.8674 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3311 loss: 1.3311 2022/07/23 09:56:14 - mmengine - INFO - Epoch(train) [45][1900/3757] lr: 1.0000e-03 eta: 1 day, 14:37:04 time: 0.7176 data_time: 0.0205 memory: 17350 grad_norm: 6.0736 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3149 loss: 1.3149 2022/07/23 09:56:25 - mmengine - INFO - Epoch(train) [45][1920/3757] lr: 1.0000e-03 eta: 1 day, 14:36:49 time: 0.5944 data_time: 0.0233 memory: 17350 grad_norm: 6.0838 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4442 loss: 1.4442 2022/07/23 09:56:40 - mmengine - INFO - Epoch(train) [45][1940/3757] lr: 1.0000e-03 eta: 1 day, 14:36:38 time: 0.7416 data_time: 0.0211 memory: 17350 grad_norm: 5.8076 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5637 loss: 1.5637 2022/07/23 09:56:52 - mmengine - INFO - Epoch(train) [45][1960/3757] lr: 1.0000e-03 eta: 1 day, 14:36:23 time: 0.5917 data_time: 0.0226 memory: 17350 grad_norm: 5.7770 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3063 loss: 1.3063 2022/07/23 09:57:07 - mmengine - INFO - Epoch(train) [45][1980/3757] lr: 1.0000e-03 eta: 1 day, 14:36:11 time: 0.7356 data_time: 0.0219 memory: 17350 grad_norm: 5.7823 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1801 loss: 1.1801 2022/07/23 09:57:19 - mmengine - INFO - Epoch(train) [45][2000/3757] lr: 1.0000e-03 eta: 1 day, 14:35:56 time: 0.6109 data_time: 0.0242 memory: 17350 grad_norm: 6.0032 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2837 loss: 1.2837 2022/07/23 09:57:33 - mmengine - INFO - Epoch(train) [45][2020/3757] lr: 1.0000e-03 eta: 1 day, 14:35:44 time: 0.7161 data_time: 0.0245 memory: 17350 grad_norm: 5.6987 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4908 loss: 1.4908 2022/07/23 09:57:46 - mmengine - INFO - Epoch(train) [45][2040/3757] lr: 1.0000e-03 eta: 1 day, 14:35:29 time: 0.6074 data_time: 0.0238 memory: 17350 grad_norm: 5.9619 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3781 loss: 1.3781 2022/07/23 09:57:59 - mmengine - INFO - Epoch(train) [45][2060/3757] lr: 1.0000e-03 eta: 1 day, 14:35:16 time: 0.6855 data_time: 0.0207 memory: 17350 grad_norm: 5.8131 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1336 loss: 1.1336 2022/07/23 09:58:12 - mmengine - INFO - Epoch(train) [45][2080/3757] lr: 1.0000e-03 eta: 1 day, 14:35:02 time: 0.6367 data_time: 0.0233 memory: 17350 grad_norm: 6.0715 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4465 loss: 1.4465 2022/07/23 09:58:26 - mmengine - INFO - Epoch(train) [45][2100/3757] lr: 1.0000e-03 eta: 1 day, 14:34:50 time: 0.7196 data_time: 0.0235 memory: 17350 grad_norm: 5.7707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4329 loss: 1.4329 2022/07/23 09:58:38 - mmengine - INFO - Epoch(train) [45][2120/3757] lr: 1.0000e-03 eta: 1 day, 14:34:35 time: 0.5895 data_time: 0.0239 memory: 17350 grad_norm: 5.7596 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4581 loss: 1.4581 2022/07/23 09:58:52 - mmengine - INFO - Epoch(train) [45][2140/3757] lr: 1.0000e-03 eta: 1 day, 14:34:23 time: 0.7055 data_time: 0.0225 memory: 17350 grad_norm: 5.7881 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3829 loss: 1.3829 2022/07/23 09:59:04 - mmengine - INFO - Epoch(train) [45][2160/3757] lr: 1.0000e-03 eta: 1 day, 14:34:07 time: 0.5840 data_time: 0.0215 memory: 17350 grad_norm: 5.7841 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4237 loss: 1.4237 2022/07/23 09:59:18 - mmengine - INFO - Epoch(train) [45][2180/3757] lr: 1.0000e-03 eta: 1 day, 14:33:55 time: 0.7119 data_time: 0.0224 memory: 17350 grad_norm: 5.8170 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0444 loss: 1.0444 2022/07/23 09:59:30 - mmengine - INFO - Epoch(train) [45][2200/3757] lr: 1.0000e-03 eta: 1 day, 14:33:40 time: 0.5868 data_time: 0.0226 memory: 17350 grad_norm: 5.7638 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6111 loss: 1.6111 2022/07/23 09:59:46 - mmengine - INFO - Epoch(train) [45][2220/3757] lr: 1.0000e-03 eta: 1 day, 14:33:29 time: 0.7738 data_time: 0.0216 memory: 17350 grad_norm: 5.8782 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3408 loss: 1.3408 2022/07/23 09:59:57 - mmengine - INFO - Epoch(train) [45][2240/3757] lr: 1.0000e-03 eta: 1 day, 14:33:14 time: 0.5831 data_time: 0.0249 memory: 17350 grad_norm: 5.8248 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3365 loss: 1.3365 2022/07/23 10:00:13 - mmengine - INFO - Epoch(train) [45][2260/3757] lr: 1.0000e-03 eta: 1 day, 14:33:03 time: 0.7812 data_time: 0.0210 memory: 17350 grad_norm: 5.7002 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3181 loss: 1.3181 2022/07/23 10:00:25 - mmengine - INFO - Epoch(train) [45][2280/3757] lr: 1.0000e-03 eta: 1 day, 14:32:48 time: 0.5907 data_time: 0.0263 memory: 17350 grad_norm: 5.8570 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3157 loss: 1.3157 2022/07/23 10:00:39 - mmengine - INFO - Epoch(train) [45][2300/3757] lr: 1.0000e-03 eta: 1 day, 14:32:36 time: 0.7118 data_time: 0.0219 memory: 17350 grad_norm: 5.8058 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5156 loss: 1.5156 2022/07/23 10:00:52 - mmengine - INFO - Epoch(train) [45][2320/3757] lr: 1.0000e-03 eta: 1 day, 14:32:22 time: 0.6335 data_time: 0.0223 memory: 17350 grad_norm: 5.9630 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3880 loss: 1.3880 2022/07/23 10:01:06 - mmengine - INFO - Epoch(train) [45][2340/3757] lr: 1.0000e-03 eta: 1 day, 14:32:10 time: 0.7266 data_time: 0.0214 memory: 17350 grad_norm: 5.8264 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3258 loss: 1.3258 2022/07/23 10:01:18 - mmengine - INFO - Epoch(train) [45][2360/3757] lr: 1.0000e-03 eta: 1 day, 14:31:55 time: 0.6048 data_time: 0.0241 memory: 17350 grad_norm: 5.8686 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4956 loss: 1.4956 2022/07/23 10:01:32 - mmengine - INFO - Epoch(train) [45][2380/3757] lr: 1.0000e-03 eta: 1 day, 14:31:42 time: 0.6950 data_time: 0.0230 memory: 17350 grad_norm: 5.6629 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3787 loss: 1.3787 2022/07/23 10:01:45 - mmengine - INFO - Epoch(train) [45][2400/3757] lr: 1.0000e-03 eta: 1 day, 14:31:28 time: 0.6284 data_time: 0.0238 memory: 17350 grad_norm: 5.8753 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4040 loss: 1.4040 2022/07/23 10:01:59 - mmengine - INFO - Epoch(train) [45][2420/3757] lr: 1.0000e-03 eta: 1 day, 14:31:15 time: 0.6966 data_time: 0.0232 memory: 17350 grad_norm: 5.8977 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2927 loss: 1.2927 2022/07/23 10:02:12 - mmengine - INFO - Epoch(train) [45][2440/3757] lr: 1.0000e-03 eta: 1 day, 14:31:01 time: 0.6417 data_time: 0.0240 memory: 17350 grad_norm: 5.9264 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5256 loss: 1.5256 2022/07/23 10:02:24 - mmengine - INFO - Epoch(train) [45][2460/3757] lr: 1.0000e-03 eta: 1 day, 14:30:47 time: 0.6373 data_time: 0.0284 memory: 17350 grad_norm: 5.7732 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3526 loss: 1.3526 2022/07/23 10:02:37 - mmengine - INFO - Epoch(train) [45][2480/3757] lr: 1.0000e-03 eta: 1 day, 14:30:34 time: 0.6586 data_time: 0.0262 memory: 17350 grad_norm: 5.7429 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2891 loss: 1.2891 2022/07/23 10:02:50 - mmengine - INFO - Epoch(train) [45][2500/3757] lr: 1.0000e-03 eta: 1 day, 14:30:20 time: 0.6342 data_time: 0.0203 memory: 17350 grad_norm: 5.8341 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4273 loss: 1.4273 2022/07/23 10:03:03 - mmengine - INFO - Epoch(train) [45][2520/3757] lr: 1.0000e-03 eta: 1 day, 14:30:06 time: 0.6622 data_time: 0.0239 memory: 17350 grad_norm: 5.8726 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0912 loss: 1.0912 2022/07/23 10:03:17 - mmengine - INFO - Epoch(train) [45][2540/3757] lr: 1.0000e-03 eta: 1 day, 14:29:53 time: 0.6728 data_time: 0.0244 memory: 17350 grad_norm: 5.7657 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4466 loss: 1.4466 2022/07/23 10:03:30 - mmengine - INFO - Epoch(train) [45][2560/3757] lr: 1.0000e-03 eta: 1 day, 14:29:39 time: 0.6470 data_time: 0.0273 memory: 17350 grad_norm: 5.8033 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3460 loss: 1.3460 2022/07/23 10:03:44 - mmengine - INFO - Epoch(train) [45][2580/3757] lr: 1.0000e-03 eta: 1 day, 14:29:27 time: 0.6979 data_time: 0.0231 memory: 17350 grad_norm: 5.8369 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1908 loss: 1.1908 2022/07/23 10:03:56 - mmengine - INFO - Epoch(train) [45][2600/3757] lr: 1.0000e-03 eta: 1 day, 14:29:11 time: 0.5975 data_time: 0.0226 memory: 17350 grad_norm: 5.9205 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4989 loss: 1.4989 2022/07/23 10:04:10 - mmengine - INFO - Epoch(train) [45][2620/3757] lr: 1.0000e-03 eta: 1 day, 14:28:59 time: 0.6991 data_time: 0.0236 memory: 17350 grad_norm: 5.9884 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4474 loss: 1.4474 2022/07/23 10:04:22 - mmengine - INFO - Epoch(train) [45][2640/3757] lr: 1.0000e-03 eta: 1 day, 14:28:45 time: 0.6355 data_time: 0.0468 memory: 17350 grad_norm: 5.9941 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3066 loss: 1.3066 2022/07/23 10:04:36 - mmengine - INFO - Epoch(train) [45][2660/3757] lr: 1.0000e-03 eta: 1 day, 14:28:32 time: 0.6897 data_time: 0.0581 memory: 17350 grad_norm: 6.0323 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2393 loss: 1.2393 2022/07/23 10:04:49 - mmengine - INFO - Epoch(train) [45][2680/3757] lr: 1.0000e-03 eta: 1 day, 14:28:18 time: 0.6219 data_time: 0.0784 memory: 17350 grad_norm: 6.0183 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2337 loss: 1.2337 2022/07/23 10:04:58 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 10:05:03 - mmengine - INFO - Epoch(train) [45][2700/3757] lr: 1.0000e-03 eta: 1 day, 14:28:05 time: 0.7004 data_time: 0.0521 memory: 17350 grad_norm: 6.1217 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2536 loss: 1.2536 2022/07/23 10:05:17 - mmengine - INFO - Epoch(train) [45][2720/3757] lr: 1.0000e-03 eta: 1 day, 14:27:53 time: 0.7129 data_time: 0.2713 memory: 17350 grad_norm: 5.6521 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2901 loss: 1.2901 2022/07/23 10:05:29 - mmengine - INFO - Epoch(train) [45][2740/3757] lr: 1.0000e-03 eta: 1 day, 14:27:38 time: 0.5998 data_time: 0.2065 memory: 17350 grad_norm: 6.0627 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4733 loss: 1.4733 2022/07/23 10:05:44 - mmengine - INFO - Epoch(train) [45][2760/3757] lr: 1.0000e-03 eta: 1 day, 14:27:26 time: 0.7236 data_time: 0.3670 memory: 17350 grad_norm: 6.0477 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4495 loss: 1.4495 2022/07/23 10:05:55 - mmengine - INFO - Epoch(train) [45][2780/3757] lr: 1.0000e-03 eta: 1 day, 14:27:11 time: 0.5956 data_time: 0.2551 memory: 17350 grad_norm: 6.1574 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3294 loss: 1.3294 2022/07/23 10:06:09 - mmengine - INFO - Epoch(train) [45][2800/3757] lr: 1.0000e-03 eta: 1 day, 14:26:58 time: 0.6810 data_time: 0.2532 memory: 17350 grad_norm: 6.0058 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4674 loss: 1.4674 2022/07/23 10:06:22 - mmengine - INFO - Epoch(train) [45][2820/3757] lr: 1.0000e-03 eta: 1 day, 14:26:44 time: 0.6405 data_time: 0.1261 memory: 17350 grad_norm: 6.2557 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3670 loss: 1.3670 2022/07/23 10:06:37 - mmengine - INFO - Epoch(train) [45][2840/3757] lr: 1.0000e-03 eta: 1 day, 14:26:32 time: 0.7391 data_time: 0.2271 memory: 17350 grad_norm: 5.9312 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0675 loss: 1.0675 2022/07/23 10:06:49 - mmengine - INFO - Epoch(train) [45][2860/3757] lr: 1.0000e-03 eta: 1 day, 14:26:18 time: 0.6346 data_time: 0.2202 memory: 17350 grad_norm: 5.6551 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2714 loss: 1.2714 2022/07/23 10:07:03 - mmengine - INFO - Epoch(train) [45][2880/3757] lr: 1.0000e-03 eta: 1 day, 14:26:06 time: 0.7021 data_time: 0.2832 memory: 17350 grad_norm: 6.0516 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6375 loss: 1.6375 2022/07/23 10:07:16 - mmengine - INFO - Epoch(train) [45][2900/3757] lr: 1.0000e-03 eta: 1 day, 14:25:51 time: 0.6064 data_time: 0.2128 memory: 17350 grad_norm: 5.8509 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1872 loss: 1.1872 2022/07/23 10:07:30 - mmengine - INFO - Epoch(train) [45][2920/3757] lr: 1.0000e-03 eta: 1 day, 14:25:39 time: 0.7152 data_time: 0.3641 memory: 17350 grad_norm: 5.7142 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0419 loss: 1.0419 2022/07/23 10:07:42 - mmengine - INFO - Epoch(train) [45][2940/3757] lr: 1.0000e-03 eta: 1 day, 14:25:25 time: 0.6281 data_time: 0.2502 memory: 17350 grad_norm: 5.9863 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2008 loss: 1.2008 2022/07/23 10:07:56 - mmengine - INFO - Epoch(train) [45][2960/3757] lr: 1.0000e-03 eta: 1 day, 14:25:12 time: 0.6795 data_time: 0.2592 memory: 17350 grad_norm: 5.7399 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3088 loss: 1.3088 2022/07/23 10:08:08 - mmengine - INFO - Epoch(train) [45][2980/3757] lr: 1.0000e-03 eta: 1 day, 14:24:57 time: 0.6211 data_time: 0.2579 memory: 17350 grad_norm: 5.8730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3273 loss: 1.3273 2022/07/23 10:08:23 - mmengine - INFO - Epoch(train) [45][3000/3757] lr: 1.0000e-03 eta: 1 day, 14:24:46 time: 0.7465 data_time: 0.4127 memory: 17350 grad_norm: 5.8651 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4001 loss: 1.4001 2022/07/23 10:08:35 - mmengine - INFO - Epoch(train) [45][3020/3757] lr: 1.0000e-03 eta: 1 day, 14:24:30 time: 0.5904 data_time: 0.2536 memory: 17350 grad_norm: 6.0935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2745 loss: 1.2745 2022/07/23 10:08:50 - mmengine - INFO - Epoch(train) [45][3040/3757] lr: 1.0000e-03 eta: 1 day, 14:24:19 time: 0.7559 data_time: 0.4238 memory: 17350 grad_norm: 5.7398 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2827 loss: 1.2827 2022/07/23 10:09:02 - mmengine - INFO - Epoch(train) [45][3060/3757] lr: 1.0000e-03 eta: 1 day, 14:24:04 time: 0.6015 data_time: 0.2698 memory: 17350 grad_norm: 5.6800 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3057 loss: 1.3057 2022/07/23 10:09:17 - mmengine - INFO - Epoch(train) [45][3080/3757] lr: 1.0000e-03 eta: 1 day, 14:23:53 time: 0.7266 data_time: 0.3945 memory: 17350 grad_norm: 6.0219 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2817 loss: 1.2817 2022/07/23 10:09:29 - mmengine - INFO - Epoch(train) [45][3100/3757] lr: 1.0000e-03 eta: 1 day, 14:23:37 time: 0.5914 data_time: 0.2563 memory: 17350 grad_norm: 5.8815 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1655 loss: 1.1655 2022/07/23 10:09:43 - mmengine - INFO - Epoch(train) [45][3120/3757] lr: 1.0000e-03 eta: 1 day, 14:23:25 time: 0.6898 data_time: 0.3568 memory: 17350 grad_norm: 6.0130 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6025 loss: 1.6025 2022/07/23 10:09:55 - mmengine - INFO - Epoch(train) [45][3140/3757] lr: 1.0000e-03 eta: 1 day, 14:23:10 time: 0.6241 data_time: 0.2903 memory: 17350 grad_norm: 5.6920 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3406 loss: 1.3406 2022/07/23 10:10:10 - mmengine - INFO - Epoch(train) [45][3160/3757] lr: 1.0000e-03 eta: 1 day, 14:22:59 time: 0.7610 data_time: 0.4260 memory: 17350 grad_norm: 6.1002 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2994 loss: 1.2994 2022/07/23 10:10:22 - mmengine - INFO - Epoch(train) [45][3180/3757] lr: 1.0000e-03 eta: 1 day, 14:22:44 time: 0.6059 data_time: 0.2758 memory: 17350 grad_norm: 5.7952 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5349 loss: 1.5349 2022/07/23 10:10:36 - mmengine - INFO - Epoch(train) [45][3200/3757] lr: 1.0000e-03 eta: 1 day, 14:22:31 time: 0.6814 data_time: 0.3463 memory: 17350 grad_norm: 6.0679 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4662 loss: 1.4662 2022/07/23 10:10:47 - mmengine - INFO - Epoch(train) [45][3220/3757] lr: 1.0000e-03 eta: 1 day, 14:22:15 time: 0.5550 data_time: 0.2236 memory: 17350 grad_norm: 5.9882 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2653 loss: 1.2653 2022/07/23 10:11:03 - mmengine - INFO - Epoch(train) [45][3240/3757] lr: 1.0000e-03 eta: 1 day, 14:22:05 time: 0.7958 data_time: 0.4656 memory: 17350 grad_norm: 5.9561 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2844 loss: 1.2844 2022/07/23 10:11:15 - mmengine - INFO - Epoch(train) [45][3260/3757] lr: 1.0000e-03 eta: 1 day, 14:21:50 time: 0.6024 data_time: 0.2680 memory: 17350 grad_norm: 6.2857 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.5926 loss: 1.5926 2022/07/23 10:11:30 - mmengine - INFO - Epoch(train) [45][3280/3757] lr: 1.0000e-03 eta: 1 day, 14:21:38 time: 0.7276 data_time: 0.3908 memory: 17350 grad_norm: 5.9939 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3690 loss: 1.3690 2022/07/23 10:11:42 - mmengine - INFO - Epoch(train) [45][3300/3757] lr: 1.0000e-03 eta: 1 day, 14:21:24 time: 0.6235 data_time: 0.2901 memory: 17350 grad_norm: 5.7426 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1749 loss: 1.1749 2022/07/23 10:11:56 - mmengine - INFO - Epoch(train) [45][3320/3757] lr: 1.0000e-03 eta: 1 day, 14:21:11 time: 0.7029 data_time: 0.3687 memory: 17350 grad_norm: 5.7970 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4513 loss: 1.4513 2022/07/23 10:12:08 - mmengine - INFO - Epoch(train) [45][3340/3757] lr: 1.0000e-03 eta: 1 day, 14:20:56 time: 0.5919 data_time: 0.2586 memory: 17350 grad_norm: 5.8758 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2415 loss: 1.2415 2022/07/23 10:12:23 - mmengine - INFO - Epoch(train) [45][3360/3757] lr: 1.0000e-03 eta: 1 day, 14:20:44 time: 0.7214 data_time: 0.3828 memory: 17350 grad_norm: 6.2906 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4777 loss: 1.4777 2022/07/23 10:12:34 - mmengine - INFO - Epoch(train) [45][3380/3757] lr: 1.0000e-03 eta: 1 day, 14:20:28 time: 0.5597 data_time: 0.2102 memory: 17350 grad_norm: 5.7341 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9670 loss: 0.9670 2022/07/23 10:12:48 - mmengine - INFO - Epoch(train) [45][3400/3757] lr: 1.0000e-03 eta: 1 day, 14:20:16 time: 0.7166 data_time: 0.3711 memory: 17350 grad_norm: 6.0284 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3449 loss: 1.3449 2022/07/23 10:13:00 - mmengine - INFO - Epoch(train) [45][3420/3757] lr: 1.0000e-03 eta: 1 day, 14:20:01 time: 0.6078 data_time: 0.2671 memory: 17350 grad_norm: 5.9666 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3492 loss: 1.3492 2022/07/23 10:13:14 - mmengine - INFO - Epoch(train) [45][3440/3757] lr: 1.0000e-03 eta: 1 day, 14:19:49 time: 0.7085 data_time: 0.2621 memory: 17350 grad_norm: 5.8433 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6074 loss: 1.6074 2022/07/23 10:13:28 - mmengine - INFO - Epoch(train) [45][3460/3757] lr: 1.0000e-03 eta: 1 day, 14:19:36 time: 0.6617 data_time: 0.1136 memory: 17350 grad_norm: 6.0435 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4553 loss: 1.4553 2022/07/23 10:13:40 - mmengine - INFO - Epoch(train) [45][3480/3757] lr: 1.0000e-03 eta: 1 day, 14:19:21 time: 0.6276 data_time: 0.0907 memory: 17350 grad_norm: 5.8253 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3639 loss: 1.3639 2022/07/23 10:13:54 - mmengine - INFO - Epoch(train) [45][3500/3757] lr: 1.0000e-03 eta: 1 day, 14:19:08 time: 0.6785 data_time: 0.0340 memory: 17350 grad_norm: 6.0989 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4202 loss: 1.4202 2022/07/23 10:14:07 - mmengine - INFO - Epoch(train) [45][3520/3757] lr: 1.0000e-03 eta: 1 day, 14:18:55 time: 0.6481 data_time: 0.0550 memory: 17350 grad_norm: 5.9679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3596 loss: 1.3596 2022/07/23 10:14:21 - mmengine - INFO - Epoch(train) [45][3540/3757] lr: 1.0000e-03 eta: 1 day, 14:18:42 time: 0.6930 data_time: 0.0243 memory: 17350 grad_norm: 5.9674 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2612 loss: 1.2612 2022/07/23 10:14:34 - mmengine - INFO - Epoch(train) [45][3560/3757] lr: 1.0000e-03 eta: 1 day, 14:18:28 time: 0.6579 data_time: 0.0644 memory: 17350 grad_norm: 5.7513 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1458 loss: 1.1458 2022/07/23 10:14:47 - mmengine - INFO - Epoch(train) [45][3580/3757] lr: 1.0000e-03 eta: 1 day, 14:18:15 time: 0.6682 data_time: 0.0254 memory: 17350 grad_norm: 6.0669 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2104 loss: 1.2104 2022/07/23 10:15:01 - mmengine - INFO - Epoch(train) [45][3600/3757] lr: 1.0000e-03 eta: 1 day, 14:18:03 time: 0.7040 data_time: 0.0208 memory: 17350 grad_norm: 5.8228 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3065 loss: 1.3065 2022/07/23 10:15:14 - mmengine - INFO - Epoch(train) [45][3620/3757] lr: 1.0000e-03 eta: 1 day, 14:17:49 time: 0.6376 data_time: 0.0218 memory: 17350 grad_norm: 6.2718 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3172 loss: 1.3172 2022/07/23 10:15:28 - mmengine - INFO - Epoch(train) [45][3640/3757] lr: 1.0000e-03 eta: 1 day, 14:17:35 time: 0.6742 data_time: 0.0224 memory: 17350 grad_norm: 6.1296 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5726 loss: 1.5726 2022/07/23 10:15:41 - mmengine - INFO - Epoch(train) [45][3660/3757] lr: 1.0000e-03 eta: 1 day, 14:17:22 time: 0.6633 data_time: 0.0230 memory: 17350 grad_norm: 5.7221 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3985 loss: 1.3985 2022/07/23 10:15:55 - mmengine - INFO - Epoch(train) [45][3680/3757] lr: 1.0000e-03 eta: 1 day, 14:17:10 time: 0.7187 data_time: 0.0243 memory: 17350 grad_norm: 5.9013 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3954 loss: 1.3954 2022/07/23 10:16:02 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 10:16:08 - mmengine - INFO - Epoch(train) [45][3700/3757] lr: 1.0000e-03 eta: 1 day, 14:16:55 time: 0.6233 data_time: 0.0226 memory: 17350 grad_norm: 5.9602 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3482 loss: 1.3482 2022/07/23 10:16:22 - mmengine - INFO - Epoch(train) [45][3720/3757] lr: 1.0000e-03 eta: 1 day, 14:16:43 time: 0.6912 data_time: 0.0230 memory: 17350 grad_norm: 6.4772 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4609 loss: 1.4609 2022/07/23 10:16:34 - mmengine - INFO - Epoch(train) [45][3740/3757] lr: 1.0000e-03 eta: 1 day, 14:16:29 time: 0.6315 data_time: 0.0225 memory: 17350 grad_norm: 5.9737 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3952 loss: 1.3952 2022/07/23 10:16:42 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 10:16:42 - mmengine - INFO - Epoch(train) [45][3757/3757] lr: 1.0000e-03 eta: 1 day, 14:16:29 time: 0.4602 data_time: 0.0224 memory: 17350 grad_norm: 5.9337 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.2177 loss: 1.2177 2022/07/23 10:16:42 - mmengine - INFO - Saving checkpoint at 45 epochs 2022/07/23 10:17:02 - mmengine - INFO - Epoch(val) [45][20/310] eta: 0:03:57 time: 0.8182 data_time: 0.7015 memory: 3406 2022/07/23 10:17:13 - mmengine - INFO - Epoch(val) [45][40/310] eta: 0:02:25 time: 0.5371 data_time: 0.4237 memory: 3406 2022/07/23 10:17:28 - mmengine - INFO - Epoch(val) [45][60/310] eta: 0:03:12 time: 0.7696 data_time: 0.6570 memory: 3406 2022/07/23 10:17:39 - mmengine - INFO - Epoch(val) [45][80/310] eta: 0:02:03 time: 0.5370 data_time: 0.4237 memory: 3406 2022/07/23 10:17:54 - mmengine - INFO - Epoch(val) [45][100/310] eta: 0:02:36 time: 0.7448 data_time: 0.6319 memory: 3406 2022/07/23 10:18:06 - mmengine - INFO - Epoch(val) [45][120/310] eta: 0:01:51 time: 0.5863 data_time: 0.4722 memory: 3406 2022/07/23 10:18:21 - mmengine - INFO - Epoch(val) [45][140/310] eta: 0:02:06 time: 0.7444 data_time: 0.6296 memory: 3406 2022/07/23 10:18:32 - mmengine - INFO - Epoch(val) [45][160/310] eta: 0:01:27 time: 0.5817 data_time: 0.4698 memory: 3406 2022/07/23 10:18:48 - mmengine - INFO - Epoch(val) [45][180/310] eta: 0:01:41 time: 0.7778 data_time: 0.6644 memory: 3406 2022/07/23 10:18:59 - mmengine - INFO - Epoch(val) [45][200/310] eta: 0:00:59 time: 0.5434 data_time: 0.4312 memory: 3406 2022/07/23 10:19:15 - mmengine - INFO - Epoch(val) [45][220/310] eta: 0:01:12 time: 0.8052 data_time: 0.6918 memory: 3406 2022/07/23 10:19:26 - mmengine - INFO - Epoch(val) [45][240/310] eta: 0:00:38 time: 0.5535 data_time: 0.4374 memory: 3406 2022/07/23 10:19:40 - mmengine - INFO - Epoch(val) [45][260/310] eta: 0:00:35 time: 0.7110 data_time: 0.5970 memory: 3406 2022/07/23 10:19:52 - mmengine - INFO - Epoch(val) [45][280/310] eta: 0:00:17 time: 0.5889 data_time: 0.4740 memory: 3406 2022/07/23 10:20:05 - mmengine - INFO - Epoch(val) [45][300/310] eta: 0:00:06 time: 0.6768 data_time: 0.5650 memory: 3406 2022/07/23 10:20:09 - mmengine - INFO - Epoch(val) [45][310/310] acc/top1: 0.6676 acc/top5: 0.8696 acc/mean1: 0.6675 2022/07/23 10:20:09 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_45.pth is removed 2022/07/23 10:20:11 - mmengine - INFO - The best checkpoint with 0.6676 acc/top1 at 46 epoch is saved to best_acc/top1_epoch_46.pth. 2022/07/23 10:20:29 - mmengine - INFO - Epoch(train) [46][20/3757] lr: 1.0000e-03 eta: 1 day, 14:15:55 time: 0.8661 data_time: 0.5333 memory: 17350 grad_norm: 5.9618 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2728 loss: 1.2728 2022/07/23 10:20:41 - mmengine - INFO - Epoch(train) [46][40/3757] lr: 1.0000e-03 eta: 1 day, 14:15:40 time: 0.6011 data_time: 0.2737 memory: 17350 grad_norm: 5.6656 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2545 loss: 1.2545 2022/07/23 10:20:55 - mmengine - INFO - Epoch(train) [46][60/3757] lr: 1.0000e-03 eta: 1 day, 14:15:28 time: 0.7410 data_time: 0.4082 memory: 17350 grad_norm: 6.0710 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2568 loss: 1.2568 2022/07/23 10:21:08 - mmengine - INFO - Epoch(train) [46][80/3757] lr: 1.0000e-03 eta: 1 day, 14:15:14 time: 0.6045 data_time: 0.2715 memory: 17350 grad_norm: 5.9213 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2611 loss: 1.2611 2022/07/23 10:21:23 - mmengine - INFO - Epoch(train) [46][100/3757] lr: 1.0000e-03 eta: 1 day, 14:15:02 time: 0.7561 data_time: 0.4209 memory: 17350 grad_norm: 5.6992 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3376 loss: 1.3376 2022/07/23 10:21:35 - mmengine - INFO - Epoch(train) [46][120/3757] lr: 1.0000e-03 eta: 1 day, 14:14:47 time: 0.5972 data_time: 0.2661 memory: 17350 grad_norm: 5.6681 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2373 loss: 1.2373 2022/07/23 10:21:49 - mmengine - INFO - Epoch(train) [46][140/3757] lr: 1.0000e-03 eta: 1 day, 14:14:35 time: 0.7066 data_time: 0.3793 memory: 17350 grad_norm: 6.0398 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5753 loss: 1.5753 2022/07/23 10:22:01 - mmengine - INFO - Epoch(train) [46][160/3757] lr: 1.0000e-03 eta: 1 day, 14:14:21 time: 0.6241 data_time: 0.2865 memory: 17350 grad_norm: 5.9458 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4282 loss: 1.4282 2022/07/23 10:22:16 - mmengine - INFO - Epoch(train) [46][180/3757] lr: 1.0000e-03 eta: 1 day, 14:14:09 time: 0.7513 data_time: 0.4178 memory: 17350 grad_norm: 5.8549 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6574 loss: 1.6574 2022/07/23 10:22:29 - mmengine - INFO - Epoch(train) [46][200/3757] lr: 1.0000e-03 eta: 1 day, 14:13:55 time: 0.6349 data_time: 0.3020 memory: 17350 grad_norm: 5.7783 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3497 loss: 1.3497 2022/07/23 10:22:43 - mmengine - INFO - Epoch(train) [46][220/3757] lr: 1.0000e-03 eta: 1 day, 14:13:42 time: 0.6789 data_time: 0.3457 memory: 17350 grad_norm: 6.0500 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2039 loss: 1.2039 2022/07/23 10:22:54 - mmengine - INFO - Epoch(train) [46][240/3757] lr: 1.0000e-03 eta: 1 day, 14:13:27 time: 0.5872 data_time: 0.2509 memory: 17350 grad_norm: 5.6368 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4586 loss: 1.4586 2022/07/23 10:23:09 - mmengine - INFO - Epoch(train) [46][260/3757] lr: 1.0000e-03 eta: 1 day, 14:13:15 time: 0.7278 data_time: 0.3938 memory: 17350 grad_norm: 5.7335 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2579 loss: 1.2579 2022/07/23 10:23:21 - mmengine - INFO - Epoch(train) [46][280/3757] lr: 1.0000e-03 eta: 1 day, 14:13:00 time: 0.5962 data_time: 0.2651 memory: 17350 grad_norm: 5.6485 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3077 loss: 1.3077 2022/07/23 10:23:36 - mmengine - INFO - Epoch(train) [46][300/3757] lr: 1.0000e-03 eta: 1 day, 14:12:49 time: 0.7398 data_time: 0.4034 memory: 17350 grad_norm: 5.7438 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2950 loss: 1.2950 2022/07/23 10:23:48 - mmengine - INFO - Epoch(train) [46][320/3757] lr: 1.0000e-03 eta: 1 day, 14:12:34 time: 0.6036 data_time: 0.2711 memory: 17350 grad_norm: 5.7539 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1779 loss: 1.1779 2022/07/23 10:24:03 - mmengine - INFO - Epoch(train) [46][340/3757] lr: 1.0000e-03 eta: 1 day, 14:12:22 time: 0.7496 data_time: 0.4132 memory: 17350 grad_norm: 6.0052 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3253 loss: 1.3253 2022/07/23 10:24:15 - mmengine - INFO - Epoch(train) [46][360/3757] lr: 1.0000e-03 eta: 1 day, 14:12:07 time: 0.5958 data_time: 0.2623 memory: 17350 grad_norm: 5.8726 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1976 loss: 1.1976 2022/07/23 10:24:29 - mmengine - INFO - Epoch(train) [46][380/3757] lr: 1.0000e-03 eta: 1 day, 14:11:55 time: 0.6931 data_time: 0.3589 memory: 17350 grad_norm: 6.1175 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0823 loss: 1.0823 2022/07/23 10:24:41 - mmengine - INFO - Epoch(train) [46][400/3757] lr: 1.0000e-03 eta: 1 day, 14:11:40 time: 0.6138 data_time: 0.2779 memory: 17350 grad_norm: 6.0078 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3890 loss: 1.3890 2022/07/23 10:24:55 - mmengine - INFO - Epoch(train) [46][420/3757] lr: 1.0000e-03 eta: 1 day, 14:11:28 time: 0.7278 data_time: 0.3948 memory: 17350 grad_norm: 5.9853 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3962 loss: 1.3962 2022/07/23 10:25:09 - mmengine - INFO - Epoch(train) [46][440/3757] lr: 1.0000e-03 eta: 1 day, 14:11:15 time: 0.6663 data_time: 0.3327 memory: 17350 grad_norm: 6.1183 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2520 loss: 1.2520 2022/07/23 10:25:23 - mmengine - INFO - Epoch(train) [46][460/3757] lr: 1.0000e-03 eta: 1 day, 14:11:03 time: 0.7245 data_time: 0.3897 memory: 17350 grad_norm: 5.9680 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4851 loss: 1.4851 2022/07/23 10:25:34 - mmengine - INFO - Epoch(train) [46][480/3757] lr: 1.0000e-03 eta: 1 day, 14:10:47 time: 0.5478 data_time: 0.2129 memory: 17350 grad_norm: 6.1202 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3394 loss: 1.3394 2022/07/23 10:25:48 - mmengine - INFO - Epoch(train) [46][500/3757] lr: 1.0000e-03 eta: 1 day, 14:10:34 time: 0.6827 data_time: 0.3330 memory: 17350 grad_norm: 5.8251 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2816 loss: 1.2816 2022/07/23 10:26:00 - mmengine - INFO - Epoch(train) [46][520/3757] lr: 1.0000e-03 eta: 1 day, 14:10:19 time: 0.5976 data_time: 0.2018 memory: 17350 grad_norm: 5.8357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2556 loss: 1.2556 2022/07/23 10:26:15 - mmengine - INFO - Epoch(train) [46][540/3757] lr: 1.0000e-03 eta: 1 day, 14:10:07 time: 0.7387 data_time: 0.4006 memory: 17350 grad_norm: 5.9740 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3833 loss: 1.3833 2022/07/23 10:26:27 - mmengine - INFO - Epoch(train) [46][560/3757] lr: 1.0000e-03 eta: 1 day, 14:09:52 time: 0.6129 data_time: 0.2327 memory: 17350 grad_norm: 6.0068 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3454 loss: 1.3454 2022/07/23 10:26:42 - mmengine - INFO - Epoch(train) [46][580/3757] lr: 1.0000e-03 eta: 1 day, 14:09:41 time: 0.7321 data_time: 0.2641 memory: 17350 grad_norm: 5.9662 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3067 loss: 1.3067 2022/07/23 10:26:53 - mmengine - INFO - Epoch(train) [46][600/3757] lr: 1.0000e-03 eta: 1 day, 14:09:26 time: 0.5959 data_time: 0.1463 memory: 17350 grad_norm: 5.9993 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1310 loss: 1.1310 2022/07/23 10:27:08 - mmengine - INFO - Epoch(train) [46][620/3757] lr: 1.0000e-03 eta: 1 day, 14:09:13 time: 0.7150 data_time: 0.2193 memory: 17350 grad_norm: 5.7306 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3155 loss: 1.3155 2022/07/23 10:27:21 - mmengine - INFO - Epoch(train) [46][640/3757] lr: 1.0000e-03 eta: 1 day, 14:09:00 time: 0.6414 data_time: 0.0754 memory: 17350 grad_norm: 5.8691 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2539 loss: 1.2539 2022/07/23 10:27:35 - mmengine - INFO - Epoch(train) [46][660/3757] lr: 1.0000e-03 eta: 1 day, 14:08:47 time: 0.6971 data_time: 0.0506 memory: 17350 grad_norm: 5.8555 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3707 loss: 1.3707 2022/07/23 10:27:47 - mmengine - INFO - Epoch(train) [46][680/3757] lr: 1.0000e-03 eta: 1 day, 14:08:33 time: 0.6407 data_time: 0.0735 memory: 17350 grad_norm: 5.9924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2203 loss: 1.2203 2022/07/23 10:28:01 - mmengine - INFO - Epoch(train) [46][700/3757] lr: 1.0000e-03 eta: 1 day, 14:08:19 time: 0.6610 data_time: 0.0737 memory: 17350 grad_norm: 5.7139 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4816 loss: 1.4816 2022/07/23 10:28:14 - mmengine - INFO - Epoch(train) [46][720/3757] lr: 1.0000e-03 eta: 1 day, 14:08:06 time: 0.6783 data_time: 0.0875 memory: 17350 grad_norm: 6.0239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3528 loss: 1.3528 2022/07/23 10:28:27 - mmengine - INFO - Epoch(train) [46][740/3757] lr: 1.0000e-03 eta: 1 day, 14:07:53 time: 0.6561 data_time: 0.0379 memory: 17350 grad_norm: 5.8787 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6283 loss: 1.6283 2022/07/23 10:28:41 - mmengine - INFO - Epoch(train) [46][760/3757] lr: 1.0000e-03 eta: 1 day, 14:07:40 time: 0.7016 data_time: 0.0292 memory: 17350 grad_norm: 5.7079 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2980 loss: 1.2980 2022/07/23 10:28:54 - mmengine - INFO - Epoch(train) [46][780/3757] lr: 1.0000e-03 eta: 1 day, 14:07:26 time: 0.6355 data_time: 0.0885 memory: 17350 grad_norm: 5.9937 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5668 loss: 1.5668 2022/07/23 10:29:08 - mmengine - INFO - Epoch(train) [46][800/3757] lr: 1.0000e-03 eta: 1 day, 14:07:14 time: 0.7158 data_time: 0.0640 memory: 17350 grad_norm: 6.1164 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3808 loss: 1.3808 2022/07/23 10:29:21 - mmengine - INFO - Epoch(train) [46][820/3757] lr: 1.0000e-03 eta: 1 day, 14:07:00 time: 0.6140 data_time: 0.0227 memory: 17350 grad_norm: 5.7706 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3298 loss: 1.3298 2022/07/23 10:29:35 - mmengine - INFO - Epoch(train) [46][840/3757] lr: 1.0000e-03 eta: 1 day, 14:06:47 time: 0.6954 data_time: 0.0212 memory: 17350 grad_norm: 5.8276 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3733 loss: 1.3733 2022/07/23 10:29:48 - mmengine - INFO - Epoch(train) [46][860/3757] lr: 1.0000e-03 eta: 1 day, 14:06:34 time: 0.6706 data_time: 0.0223 memory: 17350 grad_norm: 5.9597 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2650 loss: 1.2650 2022/07/23 10:30:00 - mmengine - INFO - Epoch(train) [46][880/3757] lr: 1.0000e-03 eta: 1 day, 14:06:19 time: 0.6004 data_time: 0.0213 memory: 17350 grad_norm: 5.9435 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2216 loss: 1.2216 2022/07/23 10:30:16 - mmengine - INFO - Epoch(train) [46][900/3757] lr: 1.0000e-03 eta: 1 day, 14:06:09 time: 0.8032 data_time: 0.0229 memory: 17350 grad_norm: 6.0396 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2389 loss: 1.2389 2022/07/23 10:30:28 - mmengine - INFO - Epoch(train) [46][920/3757] lr: 1.0000e-03 eta: 1 day, 14:05:53 time: 0.5794 data_time: 0.0229 memory: 17350 grad_norm: 5.7632 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0282 loss: 1.0282 2022/07/23 10:30:38 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 10:30:41 - mmengine - INFO - Epoch(train) [46][940/3757] lr: 1.0000e-03 eta: 1 day, 14:05:40 time: 0.6855 data_time: 0.0224 memory: 17350 grad_norm: 5.8110 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3429 loss: 1.3429 2022/07/23 10:30:54 - mmengine - INFO - Epoch(train) [46][960/3757] lr: 1.0000e-03 eta: 1 day, 14:05:26 time: 0.6076 data_time: 0.0306 memory: 17350 grad_norm: 5.9202 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4899 loss: 1.4899 2022/07/23 10:31:08 - mmengine - INFO - Epoch(train) [46][980/3757] lr: 1.0000e-03 eta: 1 day, 14:05:14 time: 0.7229 data_time: 0.0587 memory: 17350 grad_norm: 5.9588 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1338 loss: 1.1338 2022/07/23 10:31:20 - mmengine - INFO - Epoch(train) [46][1000/3757] lr: 1.0000e-03 eta: 1 day, 14:04:58 time: 0.5720 data_time: 0.0721 memory: 17350 grad_norm: 5.8677 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2582 loss: 1.2582 2022/07/23 10:31:34 - mmengine - INFO - Epoch(train) [46][1020/3757] lr: 1.0000e-03 eta: 1 day, 14:04:46 time: 0.7379 data_time: 0.1038 memory: 17350 grad_norm: 6.0276 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3646 loss: 1.3646 2022/07/23 10:31:46 - mmengine - INFO - Epoch(train) [46][1040/3757] lr: 1.0000e-03 eta: 1 day, 14:04:32 time: 0.6073 data_time: 0.0323 memory: 17350 grad_norm: 5.9761 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2615 loss: 1.2615 2022/07/23 10:32:02 - mmengine - INFO - Epoch(train) [46][1060/3757] lr: 1.0000e-03 eta: 1 day, 14:04:20 time: 0.7544 data_time: 0.0234 memory: 17350 grad_norm: 6.0060 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4301 loss: 1.4301 2022/07/23 10:32:13 - mmengine - INFO - Epoch(train) [46][1080/3757] lr: 1.0000e-03 eta: 1 day, 14:04:05 time: 0.5816 data_time: 0.0234 memory: 17350 grad_norm: 5.7257 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4097 loss: 1.4097 2022/07/23 10:32:28 - mmengine - INFO - Epoch(train) [46][1100/3757] lr: 1.0000e-03 eta: 1 day, 14:03:54 time: 0.7482 data_time: 0.0200 memory: 17350 grad_norm: 5.8510 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4000 loss: 1.4000 2022/07/23 10:32:41 - mmengine - INFO - Epoch(train) [46][1120/3757] lr: 1.0000e-03 eta: 1 day, 14:03:40 time: 0.6467 data_time: 0.0226 memory: 17350 grad_norm: 6.0442 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6519 loss: 1.6519 2022/07/23 10:32:54 - mmengine - INFO - Epoch(train) [46][1140/3757] lr: 1.0000e-03 eta: 1 day, 14:03:26 time: 0.6416 data_time: 0.0262 memory: 17350 grad_norm: 6.0091 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2608 loss: 1.2608 2022/07/23 10:33:08 - mmengine - INFO - Epoch(train) [46][1160/3757] lr: 1.0000e-03 eta: 1 day, 14:03:13 time: 0.6997 data_time: 0.0480 memory: 17350 grad_norm: 5.8490 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1310 loss: 1.1310 2022/07/23 10:33:21 - mmengine - INFO - Epoch(train) [46][1180/3757] lr: 1.0000e-03 eta: 1 day, 14:03:00 time: 0.6716 data_time: 0.0527 memory: 17350 grad_norm: 5.8315 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2572 loss: 1.2572 2022/07/23 10:33:34 - mmengine - INFO - Epoch(train) [46][1200/3757] lr: 1.0000e-03 eta: 1 day, 14:02:46 time: 0.6342 data_time: 0.0257 memory: 17350 grad_norm: 5.9909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6148 loss: 1.6148 2022/07/23 10:33:47 - mmengine - INFO - Epoch(train) [46][1220/3757] lr: 1.0000e-03 eta: 1 day, 14:02:32 time: 0.6536 data_time: 0.0231 memory: 17350 grad_norm: 5.8479 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2520 loss: 1.2520 2022/07/23 10:34:00 - mmengine - INFO - Epoch(train) [46][1240/3757] lr: 1.0000e-03 eta: 1 day, 14:02:18 time: 0.6387 data_time: 0.0221 memory: 17350 grad_norm: 5.8639 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2323 loss: 1.2323 2022/07/23 10:34:13 - mmengine - INFO - Epoch(train) [46][1260/3757] lr: 1.0000e-03 eta: 1 day, 14:02:05 time: 0.6720 data_time: 0.0213 memory: 17350 grad_norm: 6.2164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3390 loss: 1.3390 2022/07/23 10:34:27 - mmengine - INFO - Epoch(train) [46][1280/3757] lr: 1.0000e-03 eta: 1 day, 14:01:53 time: 0.7005 data_time: 0.0244 memory: 17350 grad_norm: 5.8371 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0410 loss: 1.0410 2022/07/23 10:34:40 - mmengine - INFO - Epoch(train) [46][1300/3757] lr: 1.0000e-03 eta: 1 day, 14:01:38 time: 0.6044 data_time: 0.0186 memory: 17350 grad_norm: 5.8059 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4050 loss: 1.4050 2022/07/23 10:34:54 - mmengine - INFO - Epoch(train) [46][1320/3757] lr: 1.0000e-03 eta: 1 day, 14:01:26 time: 0.7244 data_time: 0.0210 memory: 17350 grad_norm: 6.0279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2665 loss: 1.2665 2022/07/23 10:35:07 - mmengine - INFO - Epoch(train) [46][1340/3757] lr: 1.0000e-03 eta: 1 day, 14:01:12 time: 0.6626 data_time: 0.0224 memory: 17350 grad_norm: 6.0248 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2884 loss: 1.2884 2022/07/23 10:35:21 - mmengine - INFO - Epoch(train) [46][1360/3757] lr: 1.0000e-03 eta: 1 day, 14:01:00 time: 0.6910 data_time: 0.0265 memory: 17350 grad_norm: 5.8089 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4950 loss: 1.4950 2022/07/23 10:35:34 - mmengine - INFO - Epoch(train) [46][1380/3757] lr: 1.0000e-03 eta: 1 day, 14:00:45 time: 0.6220 data_time: 0.0235 memory: 17350 grad_norm: 5.8487 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4343 loss: 1.4343 2022/07/23 10:35:47 - mmengine - INFO - Epoch(train) [46][1400/3757] lr: 1.0000e-03 eta: 1 day, 14:00:32 time: 0.6738 data_time: 0.0236 memory: 17350 grad_norm: 6.1554 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5683 loss: 1.5683 2022/07/23 10:36:00 - mmengine - INFO - Epoch(train) [46][1420/3757] lr: 1.0000e-03 eta: 1 day, 14:00:19 time: 0.6612 data_time: 0.0232 memory: 17350 grad_norm: 6.3020 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2770 loss: 1.2770 2022/07/23 10:36:14 - mmengine - INFO - Epoch(train) [46][1440/3757] lr: 1.0000e-03 eta: 1 day, 14:00:05 time: 0.6656 data_time: 0.0214 memory: 17350 grad_norm: 5.8836 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4332 loss: 1.4332 2022/07/23 10:36:28 - mmengine - INFO - Epoch(train) [46][1460/3757] lr: 1.0000e-03 eta: 1 day, 13:59:53 time: 0.7262 data_time: 0.0227 memory: 17350 grad_norm: 5.8296 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2783 loss: 1.2783 2022/07/23 10:36:40 - mmengine - INFO - Epoch(train) [46][1480/3757] lr: 1.0000e-03 eta: 1 day, 13:59:39 time: 0.6156 data_time: 0.0219 memory: 17350 grad_norm: 5.7489 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2515 loss: 1.2515 2022/07/23 10:36:55 - mmengine - INFO - Epoch(train) [46][1500/3757] lr: 1.0000e-03 eta: 1 day, 13:59:27 time: 0.7369 data_time: 0.0224 memory: 17350 grad_norm: 6.0438 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1954 loss: 1.1954 2022/07/23 10:37:07 - mmengine - INFO - Epoch(train) [46][1520/3757] lr: 1.0000e-03 eta: 1 day, 13:59:11 time: 0.5681 data_time: 0.0235 memory: 17350 grad_norm: 6.1558 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2906 loss: 1.2906 2022/07/23 10:37:20 - mmengine - INFO - Epoch(train) [46][1540/3757] lr: 1.0000e-03 eta: 1 day, 13:58:59 time: 0.6930 data_time: 0.0223 memory: 17350 grad_norm: 6.0440 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2453 loss: 1.2453 2022/07/23 10:37:34 - mmengine - INFO - Epoch(train) [46][1560/3757] lr: 1.0000e-03 eta: 1 day, 13:58:45 time: 0.6638 data_time: 0.0232 memory: 17350 grad_norm: 6.2538 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5155 loss: 1.5155 2022/07/23 10:37:47 - mmengine - INFO - Epoch(train) [46][1580/3757] lr: 1.0000e-03 eta: 1 day, 13:58:32 time: 0.6496 data_time: 0.0233 memory: 17350 grad_norm: 6.0625 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4770 loss: 1.4770 2022/07/23 10:38:01 - mmengine - INFO - Epoch(train) [46][1600/3757] lr: 1.0000e-03 eta: 1 day, 13:58:19 time: 0.6911 data_time: 0.0212 memory: 17350 grad_norm: 5.9796 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3095 loss: 1.3095 2022/07/23 10:38:14 - mmengine - INFO - Epoch(train) [46][1620/3757] lr: 1.0000e-03 eta: 1 day, 13:58:06 time: 0.6694 data_time: 0.0234 memory: 17350 grad_norm: 5.7961 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4078 loss: 1.4078 2022/07/23 10:38:27 - mmengine - INFO - Epoch(train) [46][1640/3757] lr: 1.0000e-03 eta: 1 day, 13:57:52 time: 0.6726 data_time: 0.0227 memory: 17350 grad_norm: 5.6527 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3967 loss: 1.3967 2022/07/23 10:38:42 - mmengine - INFO - Epoch(train) [46][1660/3757] lr: 1.0000e-03 eta: 1 day, 13:57:40 time: 0.7188 data_time: 0.0222 memory: 17350 grad_norm: 6.1757 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4234 loss: 1.4234 2022/07/23 10:38:55 - mmengine - INFO - Epoch(train) [46][1680/3757] lr: 1.0000e-03 eta: 1 day, 13:57:27 time: 0.6580 data_time: 0.0226 memory: 17350 grad_norm: 5.8420 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1841 loss: 1.1841 2022/07/23 10:39:09 - mmengine - INFO - Epoch(train) [46][1700/3757] lr: 1.0000e-03 eta: 1 day, 13:57:14 time: 0.6892 data_time: 0.0226 memory: 17350 grad_norm: 6.1591 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4223 loss: 1.4223 2022/07/23 10:39:21 - mmengine - INFO - Epoch(train) [46][1720/3757] lr: 1.0000e-03 eta: 1 day, 13:56:59 time: 0.6186 data_time: 0.0235 memory: 17350 grad_norm: 5.8889 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2396 loss: 1.2396 2022/07/23 10:39:35 - mmengine - INFO - Epoch(train) [46][1740/3757] lr: 1.0000e-03 eta: 1 day, 13:56:46 time: 0.6667 data_time: 0.0210 memory: 17350 grad_norm: 6.0168 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2676 loss: 1.2676 2022/07/23 10:39:48 - mmengine - INFO - Epoch(train) [46][1760/3757] lr: 1.0000e-03 eta: 1 day, 13:56:32 time: 0.6511 data_time: 0.0240 memory: 17350 grad_norm: 6.0509 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1977 loss: 1.1977 2022/07/23 10:40:01 - mmengine - INFO - Epoch(train) [46][1780/3757] lr: 1.0000e-03 eta: 1 day, 13:56:20 time: 0.6881 data_time: 0.0242 memory: 17350 grad_norm: 5.9287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2108 loss: 1.2108 2022/07/23 10:40:15 - mmengine - INFO - Epoch(train) [46][1800/3757] lr: 1.0000e-03 eta: 1 day, 13:56:07 time: 0.6913 data_time: 0.0275 memory: 17350 grad_norm: 6.0154 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1803 loss: 1.1803 2022/07/23 10:40:30 - mmengine - INFO - Epoch(train) [46][1820/3757] lr: 1.0000e-03 eta: 1 day, 13:55:56 time: 0.7562 data_time: 0.0236 memory: 17350 grad_norm: 6.1486 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2094 loss: 1.2094 2022/07/23 10:40:42 - mmengine - INFO - Epoch(train) [46][1840/3757] lr: 1.0000e-03 eta: 1 day, 13:55:41 time: 0.5930 data_time: 0.0262 memory: 17350 grad_norm: 6.0683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4122 loss: 1.4122 2022/07/23 10:40:56 - mmengine - INFO - Epoch(train) [46][1860/3757] lr: 1.0000e-03 eta: 1 day, 13:55:28 time: 0.7128 data_time: 0.0239 memory: 17350 grad_norm: 6.2428 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3260 loss: 1.3260 2022/07/23 10:41:09 - mmengine - INFO - Epoch(train) [46][1880/3757] lr: 1.0000e-03 eta: 1 day, 13:55:14 time: 0.6107 data_time: 0.0242 memory: 17350 grad_norm: 6.0855 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4601 loss: 1.4601 2022/07/23 10:41:23 - mmengine - INFO - Epoch(train) [46][1900/3757] lr: 1.0000e-03 eta: 1 day, 13:55:02 time: 0.7348 data_time: 0.0244 memory: 17350 grad_norm: 6.3608 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3998 loss: 1.3998 2022/07/23 10:41:36 - mmengine - INFO - Epoch(train) [46][1920/3757] lr: 1.0000e-03 eta: 1 day, 13:54:48 time: 0.6341 data_time: 0.0245 memory: 17350 grad_norm: 5.9048 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3855 loss: 1.3855 2022/07/23 10:41:46 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 10:41:50 - mmengine - INFO - Epoch(train) [46][1940/3757] lr: 1.0000e-03 eta: 1 day, 13:54:35 time: 0.6960 data_time: 0.0227 memory: 17350 grad_norm: 5.7092 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2612 loss: 1.2612 2022/07/23 10:42:01 - mmengine - INFO - Epoch(train) [46][1960/3757] lr: 1.0000e-03 eta: 1 day, 13:54:19 time: 0.5647 data_time: 0.0253 memory: 17350 grad_norm: 6.1906 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4303 loss: 1.4303 2022/07/23 10:42:16 - mmengine - INFO - Epoch(train) [46][1980/3757] lr: 1.0000e-03 eta: 1 day, 13:54:07 time: 0.7121 data_time: 0.0245 memory: 17350 grad_norm: 6.1221 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.4090 loss: 1.4090 2022/07/23 10:42:28 - mmengine - INFO - Epoch(train) [46][2000/3757] lr: 1.0000e-03 eta: 1 day, 13:53:53 time: 0.6201 data_time: 0.0217 memory: 17350 grad_norm: 6.0052 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3879 loss: 1.3879 2022/07/23 10:42:43 - mmengine - INFO - Epoch(train) [46][2020/3757] lr: 1.0000e-03 eta: 1 day, 13:53:42 time: 0.7576 data_time: 0.0225 memory: 17350 grad_norm: 5.8594 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1748 loss: 1.1748 2022/07/23 10:42:54 - mmengine - INFO - Epoch(train) [46][2040/3757] lr: 1.0000e-03 eta: 1 day, 13:53:26 time: 0.5559 data_time: 0.0347 memory: 17350 grad_norm: 5.9596 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4886 loss: 1.4886 2022/07/23 10:43:10 - mmengine - INFO - Epoch(train) [46][2060/3757] lr: 1.0000e-03 eta: 1 day, 13:53:14 time: 0.7614 data_time: 0.0223 memory: 17350 grad_norm: 5.8187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1585 loss: 1.1585 2022/07/23 10:43:21 - mmengine - INFO - Epoch(train) [46][2080/3757] lr: 1.0000e-03 eta: 1 day, 13:52:59 time: 0.5936 data_time: 0.0258 memory: 17350 grad_norm: 5.9262 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3088 loss: 1.3088 2022/07/23 10:43:36 - mmengine - INFO - Epoch(train) [46][2100/3757] lr: 1.0000e-03 eta: 1 day, 13:52:47 time: 0.7259 data_time: 0.0232 memory: 17350 grad_norm: 5.9587 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1502 loss: 1.1502 2022/07/23 10:43:49 - mmengine - INFO - Epoch(train) [46][2120/3757] lr: 1.0000e-03 eta: 1 day, 13:52:33 time: 0.6308 data_time: 0.0291 memory: 17350 grad_norm: 5.8568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3971 loss: 1.3971 2022/07/23 10:44:03 - mmengine - INFO - Epoch(train) [46][2140/3757] lr: 1.0000e-03 eta: 1 day, 13:52:21 time: 0.7298 data_time: 0.0253 memory: 17350 grad_norm: 6.1374 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1795 loss: 1.1795 2022/07/23 10:44:15 - mmengine - INFO - Epoch(train) [46][2160/3757] lr: 1.0000e-03 eta: 1 day, 13:52:07 time: 0.6100 data_time: 0.0228 memory: 17350 grad_norm: 5.9367 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5539 loss: 1.5539 2022/07/23 10:44:30 - mmengine - INFO - Epoch(train) [46][2180/3757] lr: 1.0000e-03 eta: 1 day, 13:51:55 time: 0.7215 data_time: 0.0230 memory: 17350 grad_norm: 5.9388 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1660 loss: 1.1660 2022/07/23 10:44:41 - mmengine - INFO - Epoch(train) [46][2200/3757] lr: 1.0000e-03 eta: 1 day, 13:51:39 time: 0.5737 data_time: 0.0231 memory: 17350 grad_norm: 5.9844 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1607 loss: 1.1607 2022/07/23 10:44:56 - mmengine - INFO - Epoch(train) [46][2220/3757] lr: 1.0000e-03 eta: 1 day, 13:51:28 time: 0.7486 data_time: 0.0229 memory: 17350 grad_norm: 5.6972 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3072 loss: 1.3072 2022/07/23 10:45:10 - mmengine - INFO - Epoch(train) [46][2240/3757] lr: 1.0000e-03 eta: 1 day, 13:51:14 time: 0.6636 data_time: 0.0218 memory: 17350 grad_norm: 5.8797 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3740 loss: 1.3740 2022/07/23 10:45:24 - mmengine - INFO - Epoch(train) [46][2260/3757] lr: 1.0000e-03 eta: 1 day, 13:51:03 time: 0.7274 data_time: 0.0243 memory: 17350 grad_norm: 6.1515 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3337 loss: 1.3337 2022/07/23 10:45:36 - mmengine - INFO - Epoch(train) [46][2280/3757] lr: 1.0000e-03 eta: 1 day, 13:50:48 time: 0.6075 data_time: 0.0241 memory: 17350 grad_norm: 6.0972 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2189 loss: 1.2189 2022/07/23 10:45:51 - mmengine - INFO - Epoch(train) [46][2300/3757] lr: 1.0000e-03 eta: 1 day, 13:50:35 time: 0.7110 data_time: 0.0215 memory: 17350 grad_norm: 5.8923 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3532 loss: 1.3532 2022/07/23 10:46:02 - mmengine - INFO - Epoch(train) [46][2320/3757] lr: 1.0000e-03 eta: 1 day, 13:50:20 time: 0.5771 data_time: 0.0222 memory: 17350 grad_norm: 5.9834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3913 loss: 1.3913 2022/07/23 10:46:17 - mmengine - INFO - Epoch(train) [46][2340/3757] lr: 1.0000e-03 eta: 1 day, 13:50:08 time: 0.7235 data_time: 0.0224 memory: 17350 grad_norm: 5.8889 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3455 loss: 1.3455 2022/07/23 10:46:30 - mmengine - INFO - Epoch(train) [46][2360/3757] lr: 1.0000e-03 eta: 1 day, 13:49:54 time: 0.6505 data_time: 0.0229 memory: 17350 grad_norm: 5.8761 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2427 loss: 1.2427 2022/07/23 10:46:44 - mmengine - INFO - Epoch(train) [46][2380/3757] lr: 1.0000e-03 eta: 1 day, 13:49:42 time: 0.7042 data_time: 0.0217 memory: 17350 grad_norm: 6.0101 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3664 loss: 1.3664 2022/07/23 10:46:56 - mmengine - INFO - Epoch(train) [46][2400/3757] lr: 1.0000e-03 eta: 1 day, 13:49:27 time: 0.6139 data_time: 0.0223 memory: 17350 grad_norm: 5.8087 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3588 loss: 1.3588 2022/07/23 10:47:11 - mmengine - INFO - Epoch(train) [46][2420/3757] lr: 1.0000e-03 eta: 1 day, 13:49:16 time: 0.7494 data_time: 0.0247 memory: 17350 grad_norm: 5.7444 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3400 loss: 1.3400 2022/07/23 10:47:23 - mmengine - INFO - Epoch(train) [46][2440/3757] lr: 1.0000e-03 eta: 1 day, 13:49:01 time: 0.5844 data_time: 0.0237 memory: 17350 grad_norm: 5.9998 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5422 loss: 1.5422 2022/07/23 10:47:37 - mmengine - INFO - Epoch(train) [46][2460/3757] lr: 1.0000e-03 eta: 1 day, 13:48:49 time: 0.7304 data_time: 0.0223 memory: 17350 grad_norm: 5.9960 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4475 loss: 1.4475 2022/07/23 10:47:49 - mmengine - INFO - Epoch(train) [46][2480/3757] lr: 1.0000e-03 eta: 1 day, 13:48:33 time: 0.5707 data_time: 0.0233 memory: 17350 grad_norm: 5.9614 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2562 loss: 1.2562 2022/07/23 10:48:03 - mmengine - INFO - Epoch(train) [46][2500/3757] lr: 1.0000e-03 eta: 1 day, 13:48:21 time: 0.7153 data_time: 0.0244 memory: 17350 grad_norm: 6.0191 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3909 loss: 1.3909 2022/07/23 10:48:15 - mmengine - INFO - Epoch(train) [46][2520/3757] lr: 1.0000e-03 eta: 1 day, 13:48:06 time: 0.5947 data_time: 0.0233 memory: 17350 grad_norm: 6.0296 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5477 loss: 1.5477 2022/07/23 10:48:29 - mmengine - INFO - Epoch(train) [46][2540/3757] lr: 1.0000e-03 eta: 1 day, 13:47:53 time: 0.7009 data_time: 0.0233 memory: 17350 grad_norm: 5.8156 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3056 loss: 1.3056 2022/07/23 10:48:41 - mmengine - INFO - Epoch(train) [46][2560/3757] lr: 1.0000e-03 eta: 1 day, 13:47:39 time: 0.6013 data_time: 0.0204 memory: 17350 grad_norm: 6.0170 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4057 loss: 1.4057 2022/07/23 10:48:55 - mmengine - INFO - Epoch(train) [46][2580/3757] lr: 1.0000e-03 eta: 1 day, 13:47:26 time: 0.7077 data_time: 0.0303 memory: 17350 grad_norm: 5.9091 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2577 loss: 1.2577 2022/07/23 10:49:08 - mmengine - INFO - Epoch(train) [46][2600/3757] lr: 1.0000e-03 eta: 1 day, 13:47:12 time: 0.6196 data_time: 0.1233 memory: 17350 grad_norm: 5.9252 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2808 loss: 1.2808 2022/07/23 10:49:21 - mmengine - INFO - Epoch(train) [46][2620/3757] lr: 1.0000e-03 eta: 1 day, 13:46:59 time: 0.6784 data_time: 0.0699 memory: 17350 grad_norm: 5.9324 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2307 loss: 1.2307 2022/07/23 10:49:34 - mmengine - INFO - Epoch(train) [46][2640/3757] lr: 1.0000e-03 eta: 1 day, 13:46:45 time: 0.6546 data_time: 0.0557 memory: 17350 grad_norm: 5.9393 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3588 loss: 1.3588 2022/07/23 10:49:48 - mmengine - INFO - Epoch(train) [46][2660/3757] lr: 1.0000e-03 eta: 1 day, 13:46:32 time: 0.6787 data_time: 0.0229 memory: 17350 grad_norm: 5.8430 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0064 loss: 1.0064 2022/07/23 10:50:02 - mmengine - INFO - Epoch(train) [46][2680/3757] lr: 1.0000e-03 eta: 1 day, 13:46:19 time: 0.6854 data_time: 0.0259 memory: 17350 grad_norm: 5.7666 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1593 loss: 1.1593 2022/07/23 10:50:17 - mmengine - INFO - Epoch(train) [46][2700/3757] lr: 1.0000e-03 eta: 1 day, 13:46:08 time: 0.7491 data_time: 0.0262 memory: 17350 grad_norm: 5.9878 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2865 loss: 1.2865 2022/07/23 10:50:31 - mmengine - INFO - Epoch(train) [46][2720/3757] lr: 1.0000e-03 eta: 1 day, 13:45:55 time: 0.7026 data_time: 0.0415 memory: 17350 grad_norm: 6.2578 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6271 loss: 1.6271 2022/07/23 10:50:42 - mmengine - INFO - Epoch(train) [46][2740/3757] lr: 1.0000e-03 eta: 1 day, 13:45:40 time: 0.5935 data_time: 0.0244 memory: 17350 grad_norm: 5.8788 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1032 loss: 1.1032 2022/07/23 10:50:57 - mmengine - INFO - Epoch(train) [46][2760/3757] lr: 1.0000e-03 eta: 1 day, 13:45:29 time: 0.7425 data_time: 0.0240 memory: 17350 grad_norm: 5.9781 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5265 loss: 1.5265 2022/07/23 10:51:09 - mmengine - INFO - Epoch(train) [46][2780/3757] lr: 1.0000e-03 eta: 1 day, 13:45:14 time: 0.5926 data_time: 0.0337 memory: 17350 grad_norm: 6.0705 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2190 loss: 1.2190 2022/07/23 10:51:24 - mmengine - INFO - Epoch(train) [46][2800/3757] lr: 1.0000e-03 eta: 1 day, 13:45:02 time: 0.7605 data_time: 0.0225 memory: 17350 grad_norm: 6.2250 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4158 loss: 1.4158 2022/07/23 10:51:36 - mmengine - INFO - Epoch(train) [46][2820/3757] lr: 1.0000e-03 eta: 1 day, 13:44:47 time: 0.5945 data_time: 0.0244 memory: 17350 grad_norm: 6.2316 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0197 loss: 1.0197 2022/07/23 10:51:51 - mmengine - INFO - Epoch(train) [46][2840/3757] lr: 1.0000e-03 eta: 1 day, 13:44:35 time: 0.7163 data_time: 0.0220 memory: 17350 grad_norm: 6.2101 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5113 loss: 1.5113 2022/07/23 10:52:02 - mmengine - INFO - Epoch(train) [46][2860/3757] lr: 1.0000e-03 eta: 1 day, 13:44:20 time: 0.5760 data_time: 0.0153 memory: 17350 grad_norm: 6.1236 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5865 loss: 1.5865 2022/07/23 10:52:17 - mmengine - INFO - Epoch(train) [46][2880/3757] lr: 1.0000e-03 eta: 1 day, 13:44:08 time: 0.7488 data_time: 0.0274 memory: 17350 grad_norm: 5.9946 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4505 loss: 1.4505 2022/07/23 10:52:29 - mmengine - INFO - Epoch(train) [46][2900/3757] lr: 1.0000e-03 eta: 1 day, 13:43:54 time: 0.6119 data_time: 0.0232 memory: 17350 grad_norm: 5.9954 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2286 loss: 1.2286 2022/07/23 10:52:44 - mmengine - INFO - Epoch(train) [46][2920/3757] lr: 1.0000e-03 eta: 1 day, 13:43:42 time: 0.7143 data_time: 0.0221 memory: 17350 grad_norm: 5.8925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5490 loss: 1.5490 2022/07/23 10:52:54 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 10:52:56 - mmengine - INFO - Epoch(train) [46][2940/3757] lr: 1.0000e-03 eta: 1 day, 13:43:27 time: 0.5999 data_time: 0.0243 memory: 17350 grad_norm: 6.0745 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1060 loss: 1.1060 2022/07/23 10:53:09 - mmengine - INFO - Epoch(train) [46][2960/3757] lr: 1.0000e-03 eta: 1 day, 13:43:14 time: 0.6870 data_time: 0.0218 memory: 17350 grad_norm: 5.8068 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5011 loss: 1.5011 2022/07/23 10:53:22 - mmengine - INFO - Epoch(train) [46][2980/3757] lr: 1.0000e-03 eta: 1 day, 13:43:00 time: 0.6343 data_time: 0.0228 memory: 17350 grad_norm: 5.7886 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2331 loss: 1.2331 2022/07/23 10:53:36 - mmengine - INFO - Epoch(train) [46][3000/3757] lr: 1.0000e-03 eta: 1 day, 13:42:47 time: 0.6812 data_time: 0.0230 memory: 17350 grad_norm: 6.0757 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4047 loss: 1.4047 2022/07/23 10:53:49 - mmengine - INFO - Epoch(train) [46][3020/3757] lr: 1.0000e-03 eta: 1 day, 13:42:33 time: 0.6411 data_time: 0.0218 memory: 17350 grad_norm: 6.0366 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3447 loss: 1.3447 2022/07/23 10:54:02 - mmengine - INFO - Epoch(train) [46][3040/3757] lr: 1.0000e-03 eta: 1 day, 13:42:19 time: 0.6583 data_time: 0.0394 memory: 17350 grad_norm: 5.8053 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3177 loss: 1.3177 2022/07/23 10:54:15 - mmengine - INFO - Epoch(train) [46][3060/3757] lr: 1.0000e-03 eta: 1 day, 13:42:06 time: 0.6802 data_time: 0.0251 memory: 17350 grad_norm: 6.0783 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3545 loss: 1.3545 2022/07/23 10:54:29 - mmengine - INFO - Epoch(train) [46][3080/3757] lr: 1.0000e-03 eta: 1 day, 13:41:53 time: 0.6829 data_time: 0.0255 memory: 17350 grad_norm: 5.6322 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1482 loss: 1.1482 2022/07/23 10:54:42 - mmengine - INFO - Epoch(train) [46][3100/3757] lr: 1.0000e-03 eta: 1 day, 13:41:39 time: 0.6407 data_time: 0.0233 memory: 17350 grad_norm: 5.8312 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1299 loss: 1.1299 2022/07/23 10:54:57 - mmengine - INFO - Epoch(train) [46][3120/3757] lr: 1.0000e-03 eta: 1 day, 13:41:27 time: 0.7331 data_time: 0.0233 memory: 17350 grad_norm: 5.8419 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1917 loss: 1.1917 2022/07/23 10:55:09 - mmengine - INFO - Epoch(train) [46][3140/3757] lr: 1.0000e-03 eta: 1 day, 13:41:13 time: 0.6227 data_time: 0.0247 memory: 17350 grad_norm: 5.9527 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1773 loss: 1.1773 2022/07/23 10:55:23 - mmengine - INFO - Epoch(train) [46][3160/3757] lr: 1.0000e-03 eta: 1 day, 13:41:01 time: 0.7195 data_time: 0.0211 memory: 17350 grad_norm: 6.1163 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2936 loss: 1.2936 2022/07/23 10:55:36 - mmengine - INFO - Epoch(train) [46][3180/3757] lr: 1.0000e-03 eta: 1 day, 13:40:46 time: 0.6117 data_time: 0.0256 memory: 17350 grad_norm: 6.1408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1577 loss: 1.1577 2022/07/23 10:55:48 - mmengine - INFO - Epoch(train) [46][3200/3757] lr: 1.0000e-03 eta: 1 day, 13:40:32 time: 0.6347 data_time: 0.0459 memory: 17350 grad_norm: 5.9721 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2248 loss: 1.2248 2022/07/23 10:56:02 - mmengine - INFO - Epoch(train) [46][3220/3757] lr: 1.0000e-03 eta: 1 day, 13:40:19 time: 0.6806 data_time: 0.0322 memory: 17350 grad_norm: 6.0174 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3771 loss: 1.3771 2022/07/23 10:56:16 - mmengine - INFO - Epoch(train) [46][3240/3757] lr: 1.0000e-03 eta: 1 day, 13:40:06 time: 0.6792 data_time: 0.0253 memory: 17350 grad_norm: 6.2181 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4253 loss: 1.4253 2022/07/23 10:56:29 - mmengine - INFO - Epoch(train) [46][3260/3757] lr: 1.0000e-03 eta: 1 day, 13:39:53 time: 0.6536 data_time: 0.0332 memory: 17350 grad_norm: 5.8331 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3224 loss: 1.3224 2022/07/23 10:56:44 - mmengine - INFO - Epoch(train) [46][3280/3757] lr: 1.0000e-03 eta: 1 day, 13:39:41 time: 0.7474 data_time: 0.0212 memory: 17350 grad_norm: 5.9933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3254 loss: 1.3254 2022/07/23 10:56:56 - mmengine - INFO - Epoch(train) [46][3300/3757] lr: 1.0000e-03 eta: 1 day, 13:39:27 time: 0.6187 data_time: 0.0231 memory: 17350 grad_norm: 5.9950 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1717 loss: 1.1717 2022/07/23 10:57:10 - mmengine - INFO - Epoch(train) [46][3320/3757] lr: 1.0000e-03 eta: 1 day, 13:39:14 time: 0.7104 data_time: 0.0222 memory: 17350 grad_norm: 5.9895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5197 loss: 1.5197 2022/07/23 10:57:22 - mmengine - INFO - Epoch(train) [46][3340/3757] lr: 1.0000e-03 eta: 1 day, 13:39:00 time: 0.6116 data_time: 0.0219 memory: 17350 grad_norm: 5.8965 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3733 loss: 1.3733 2022/07/23 10:57:38 - mmengine - INFO - Epoch(train) [46][3360/3757] lr: 1.0000e-03 eta: 1 day, 13:38:49 time: 0.7578 data_time: 0.0247 memory: 17350 grad_norm: 5.6266 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0491 loss: 1.0491 2022/07/23 10:57:50 - mmengine - INFO - Epoch(train) [46][3380/3757] lr: 1.0000e-03 eta: 1 day, 13:38:34 time: 0.5929 data_time: 0.0243 memory: 17350 grad_norm: 5.9529 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3428 loss: 1.3428 2022/07/23 10:58:05 - mmengine - INFO - Epoch(train) [46][3400/3757] lr: 1.0000e-03 eta: 1 day, 13:38:22 time: 0.7538 data_time: 0.0221 memory: 17350 grad_norm: 6.1685 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2781 loss: 1.2781 2022/07/23 10:58:17 - mmengine - INFO - Epoch(train) [46][3420/3757] lr: 1.0000e-03 eta: 1 day, 13:38:08 time: 0.6333 data_time: 0.0236 memory: 17350 grad_norm: 6.0174 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2755 loss: 1.2755 2022/07/23 10:58:30 - mmengine - INFO - Epoch(train) [46][3440/3757] lr: 1.0000e-03 eta: 1 day, 13:37:54 time: 0.6322 data_time: 0.0221 memory: 17350 grad_norm: 6.0236 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3608 loss: 1.3608 2022/07/23 10:58:43 - mmengine - INFO - Epoch(train) [46][3460/3757] lr: 1.0000e-03 eta: 1 day, 13:37:40 time: 0.6543 data_time: 0.0234 memory: 17350 grad_norm: 5.9964 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3332 loss: 1.3332 2022/07/23 10:58:57 - mmengine - INFO - Epoch(train) [46][3480/3757] lr: 1.0000e-03 eta: 1 day, 13:37:28 time: 0.6942 data_time: 0.0230 memory: 17350 grad_norm: 5.8692 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2894 loss: 1.2894 2022/07/23 10:59:10 - mmengine - INFO - Epoch(train) [46][3500/3757] lr: 1.0000e-03 eta: 1 day, 13:37:13 time: 0.6318 data_time: 0.0247 memory: 17350 grad_norm: 6.1151 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4395 loss: 1.4395 2022/07/23 10:59:23 - mmengine - INFO - Epoch(train) [46][3520/3757] lr: 1.0000e-03 eta: 1 day, 13:37:00 time: 0.6553 data_time: 0.0217 memory: 17350 grad_norm: 5.9021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4388 loss: 1.4388 2022/07/23 10:59:36 - mmengine - INFO - Epoch(train) [46][3540/3757] lr: 1.0000e-03 eta: 1 day, 13:36:46 time: 0.6617 data_time: 0.0247 memory: 17350 grad_norm: 5.7503 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3855 loss: 1.3855 2022/07/23 10:59:50 - mmengine - INFO - Epoch(train) [46][3560/3757] lr: 1.0000e-03 eta: 1 day, 13:36:33 time: 0.6785 data_time: 0.0226 memory: 17350 grad_norm: 5.8824 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0683 loss: 1.0683 2022/07/23 11:00:02 - mmengine - INFO - Epoch(train) [46][3580/3757] lr: 1.0000e-03 eta: 1 day, 13:36:19 time: 0.6170 data_time: 0.0240 memory: 17350 grad_norm: 6.0130 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3361 loss: 1.3361 2022/07/23 11:00:18 - mmengine - INFO - Epoch(train) [46][3600/3757] lr: 1.0000e-03 eta: 1 day, 13:36:08 time: 0.7889 data_time: 0.0281 memory: 17350 grad_norm: 6.1580 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5161 loss: 1.5161 2022/07/23 11:00:29 - mmengine - INFO - Epoch(train) [46][3620/3757] lr: 1.0000e-03 eta: 1 day, 13:35:53 time: 0.5886 data_time: 0.0235 memory: 17350 grad_norm: 6.1481 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4100 loss: 1.4100 2022/07/23 11:00:44 - mmengine - INFO - Epoch(train) [46][3640/3757] lr: 1.0000e-03 eta: 1 day, 13:35:42 time: 0.7502 data_time: 0.0233 memory: 17350 grad_norm: 5.9009 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2241 loss: 1.2241 2022/07/23 11:00:56 - mmengine - INFO - Epoch(train) [46][3660/3757] lr: 1.0000e-03 eta: 1 day, 13:35:27 time: 0.5827 data_time: 0.0246 memory: 17350 grad_norm: 5.7606 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0738 loss: 1.0738 2022/07/23 11:01:11 - mmengine - INFO - Epoch(train) [46][3680/3757] lr: 1.0000e-03 eta: 1 day, 13:35:15 time: 0.7390 data_time: 0.0207 memory: 17350 grad_norm: 5.6875 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1772 loss: 1.1772 2022/07/23 11:01:23 - mmengine - INFO - Epoch(train) [46][3700/3757] lr: 1.0000e-03 eta: 1 day, 13:35:00 time: 0.6086 data_time: 0.0235 memory: 17350 grad_norm: 5.9377 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4578 loss: 1.4578 2022/07/23 11:01:37 - mmengine - INFO - Epoch(train) [46][3720/3757] lr: 1.0000e-03 eta: 1 day, 13:34:48 time: 0.7060 data_time: 0.0241 memory: 17350 grad_norm: 5.8984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3360 loss: 1.3360 2022/07/23 11:01:49 - mmengine - INFO - Epoch(train) [46][3740/3757] lr: 1.0000e-03 eta: 1 day, 13:34:33 time: 0.6034 data_time: 0.0223 memory: 17350 grad_norm: 5.8295 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1946 loss: 1.1946 2022/07/23 11:01:57 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 11:01:57 - mmengine - INFO - Epoch(train) [46][3757/3757] lr: 1.0000e-03 eta: 1 day, 13:34:33 time: 0.4596 data_time: 0.0225 memory: 17350 grad_norm: 5.9756 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.0169 loss: 1.0169 2022/07/23 11:02:15 - mmengine - INFO - Epoch(val) [46][20/310] eta: 0:04:10 time: 0.8653 data_time: 0.7501 memory: 3406 2022/07/23 11:02:26 - mmengine - INFO - Epoch(val) [46][40/310] eta: 0:02:26 time: 0.5420 data_time: 0.4290 memory: 3406 2022/07/23 11:02:41 - mmengine - INFO - Epoch(val) [46][60/310] eta: 0:03:14 time: 0.7793 data_time: 0.6651 memory: 3406 2022/07/23 11:02:52 - mmengine - INFO - Epoch(val) [46][80/310] eta: 0:02:00 time: 0.5256 data_time: 0.4126 memory: 3406 2022/07/23 11:03:08 - mmengine - INFO - Epoch(val) [46][100/310] eta: 0:02:49 time: 0.8085 data_time: 0.6935 memory: 3406 2022/07/23 11:03:18 - mmengine - INFO - Epoch(val) [46][120/310] eta: 0:01:35 time: 0.5021 data_time: 0.3877 memory: 3406 2022/07/23 11:03:33 - mmengine - INFO - Epoch(val) [46][140/310] eta: 0:02:06 time: 0.7432 data_time: 0.6304 memory: 3406 2022/07/23 11:03:45 - mmengine - INFO - Epoch(val) [46][160/310] eta: 0:01:29 time: 0.5936 data_time: 0.4796 memory: 3406 2022/07/23 11:04:00 - mmengine - INFO - Epoch(val) [46][180/310] eta: 0:01:39 time: 0.7627 data_time: 0.6492 memory: 3406 2022/07/23 11:04:11 - mmengine - INFO - Epoch(val) [46][200/310] eta: 0:00:59 time: 0.5402 data_time: 0.4278 memory: 3406 2022/07/23 11:04:27 - mmengine - INFO - Epoch(val) [46][220/310] eta: 0:01:11 time: 0.7986 data_time: 0.6834 memory: 3406 2022/07/23 11:04:38 - mmengine - INFO - Epoch(val) [46][240/310] eta: 0:00:38 time: 0.5508 data_time: 0.4351 memory: 3406 2022/07/23 11:04:53 - mmengine - INFO - Epoch(val) [46][260/310] eta: 0:00:38 time: 0.7771 data_time: 0.6630 memory: 3406 2022/07/23 11:05:04 - mmengine - INFO - Epoch(val) [46][280/310] eta: 0:00:16 time: 0.5496 data_time: 0.4359 memory: 3406 2022/07/23 11:05:19 - mmengine - INFO - Epoch(val) [46][300/310] eta: 0:00:07 time: 0.7385 data_time: 0.6243 memory: 3406 2022/07/23 11:05:25 - mmengine - INFO - Epoch(val) [46][310/310] acc/top1: 0.6692 acc/top5: 0.8702 acc/mean1: 0.6692 2022/07/23 11:05:25 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_46.pth is removed 2022/07/23 11:05:27 - mmengine - INFO - The best checkpoint with 0.6692 acc/top1 at 47 epoch is saved to best_acc/top1_epoch_47.pth. 2022/07/23 11:05:45 - mmengine - INFO - Epoch(train) [47][20/3757] lr: 1.0000e-03 eta: 1 day, 13:34:01 time: 0.9043 data_time: 0.5682 memory: 17350 grad_norm: 6.0980 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2911 loss: 1.2911 2022/07/23 11:05:58 - mmengine - INFO - Epoch(train) [47][40/3757] lr: 1.0000e-03 eta: 1 day, 13:33:46 time: 0.6055 data_time: 0.2727 memory: 17350 grad_norm: 6.0966 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3583 loss: 1.3583 2022/07/23 11:06:12 - mmengine - INFO - Epoch(train) [47][60/3757] lr: 1.0000e-03 eta: 1 day, 13:33:33 time: 0.7093 data_time: 0.3753 memory: 17350 grad_norm: 6.0156 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2118 loss: 1.2118 2022/07/23 11:06:23 - mmengine - INFO - Epoch(train) [47][80/3757] lr: 1.0000e-03 eta: 1 day, 13:33:18 time: 0.5571 data_time: 0.2272 memory: 17350 grad_norm: 6.0390 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3067 loss: 1.3067 2022/07/23 11:06:38 - mmengine - INFO - Epoch(train) [47][100/3757] lr: 1.0000e-03 eta: 1 day, 13:33:06 time: 0.7515 data_time: 0.4235 memory: 17350 grad_norm: 5.8961 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3783 loss: 1.3783 2022/07/23 11:06:50 - mmengine - INFO - Epoch(train) [47][120/3757] lr: 1.0000e-03 eta: 1 day, 13:32:52 time: 0.6200 data_time: 0.2903 memory: 17350 grad_norm: 6.1030 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2053 loss: 1.2053 2022/07/23 11:07:05 - mmengine - INFO - Epoch(train) [47][140/3757] lr: 1.0000e-03 eta: 1 day, 13:32:40 time: 0.7108 data_time: 0.3891 memory: 17350 grad_norm: 5.9953 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1257 loss: 1.1257 2022/07/23 11:07:18 - mmengine - INFO - Epoch(train) [47][160/3757] lr: 1.0000e-03 eta: 1 day, 13:32:26 time: 0.6455 data_time: 0.3128 memory: 17350 grad_norm: 6.1486 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3550 loss: 1.3550 2022/07/23 11:07:31 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 11:07:31 - mmengine - INFO - Epoch(train) [47][180/3757] lr: 1.0000e-03 eta: 1 day, 13:32:13 time: 0.6835 data_time: 0.3587 memory: 17350 grad_norm: 6.1202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4942 loss: 1.4942 2022/07/23 11:07:44 - mmengine - INFO - Epoch(train) [47][200/3757] lr: 1.0000e-03 eta: 1 day, 13:31:59 time: 0.6491 data_time: 0.2310 memory: 17350 grad_norm: 6.2355 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3708 loss: 1.3708 2022/07/23 11:07:59 - mmengine - INFO - Epoch(train) [47][220/3757] lr: 1.0000e-03 eta: 1 day, 13:31:47 time: 0.7161 data_time: 0.1406 memory: 17350 grad_norm: 5.8152 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4238 loss: 1.4238 2022/07/23 11:08:11 - mmengine - INFO - Epoch(train) [47][240/3757] lr: 1.0000e-03 eta: 1 day, 13:31:33 time: 0.6286 data_time: 0.1255 memory: 17350 grad_norm: 5.8462 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4243 loss: 1.4243 2022/07/23 11:08:25 - mmengine - INFO - Epoch(train) [47][260/3757] lr: 1.0000e-03 eta: 1 day, 13:31:19 time: 0.6705 data_time: 0.2088 memory: 17350 grad_norm: 5.9647 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4427 loss: 1.4427 2022/07/23 11:08:38 - mmengine - INFO - Epoch(train) [47][280/3757] lr: 1.0000e-03 eta: 1 day, 13:31:06 time: 0.6693 data_time: 0.1373 memory: 17350 grad_norm: 6.0357 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0643 loss: 1.0643 2022/07/23 11:08:51 - mmengine - INFO - Epoch(train) [47][300/3757] lr: 1.0000e-03 eta: 1 day, 13:30:52 time: 0.6415 data_time: 0.1973 memory: 17350 grad_norm: 6.2019 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0412 loss: 1.0412 2022/07/23 11:09:05 - mmengine - INFO - Epoch(train) [47][320/3757] lr: 1.0000e-03 eta: 1 day, 13:30:39 time: 0.6902 data_time: 0.2982 memory: 17350 grad_norm: 5.9073 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0399 loss: 1.0399 2022/07/23 11:09:18 - mmengine - INFO - Epoch(train) [47][340/3757] lr: 1.0000e-03 eta: 1 day, 13:30:26 time: 0.6598 data_time: 0.2923 memory: 17350 grad_norm: 6.0183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0679 loss: 1.0679 2022/07/23 11:09:31 - mmengine - INFO - Epoch(train) [47][360/3757] lr: 1.0000e-03 eta: 1 day, 13:30:13 time: 0.6783 data_time: 0.2541 memory: 17350 grad_norm: 6.0511 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4594 loss: 1.4594 2022/07/23 11:09:45 - mmengine - INFO - Epoch(train) [47][380/3757] lr: 1.0000e-03 eta: 1 day, 13:29:59 time: 0.6590 data_time: 0.1895 memory: 17350 grad_norm: 5.9605 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3437 loss: 1.3437 2022/07/23 11:09:58 - mmengine - INFO - Epoch(train) [47][400/3757] lr: 1.0000e-03 eta: 1 day, 13:29:46 time: 0.6794 data_time: 0.2686 memory: 17350 grad_norm: 6.0455 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4600 loss: 1.4600 2022/07/23 11:10:12 - mmengine - INFO - Epoch(train) [47][420/3757] lr: 1.0000e-03 eta: 1 day, 13:29:33 time: 0.6746 data_time: 0.3340 memory: 17350 grad_norm: 5.9993 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6810 loss: 1.6810 2022/07/23 11:10:25 - mmengine - INFO - Epoch(train) [47][440/3757] lr: 1.0000e-03 eta: 1 day, 13:29:19 time: 0.6453 data_time: 0.2688 memory: 17350 grad_norm: 5.9818 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2803 loss: 1.2803 2022/07/23 11:10:39 - mmengine - INFO - Epoch(train) [47][460/3757] lr: 1.0000e-03 eta: 1 day, 13:29:08 time: 0.7341 data_time: 0.2009 memory: 17350 grad_norm: 5.9983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3204 loss: 1.3204 2022/07/23 11:10:51 - mmengine - INFO - Epoch(train) [47][480/3757] lr: 1.0000e-03 eta: 1 day, 13:28:52 time: 0.5857 data_time: 0.1194 memory: 17350 grad_norm: 5.9004 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3348 loss: 1.3348 2022/07/23 11:11:06 - mmengine - INFO - Epoch(train) [47][500/3757] lr: 1.0000e-03 eta: 1 day, 13:28:41 time: 0.7609 data_time: 0.1280 memory: 17350 grad_norm: 5.8765 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3383 loss: 1.3383 2022/07/23 11:11:18 - mmengine - INFO - Epoch(train) [47][520/3757] lr: 1.0000e-03 eta: 1 day, 13:28:25 time: 0.5660 data_time: 0.0498 memory: 17350 grad_norm: 6.0452 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2766 loss: 1.2766 2022/07/23 11:11:31 - mmengine - INFO - Epoch(train) [47][540/3757] lr: 1.0000e-03 eta: 1 day, 13:28:12 time: 0.6761 data_time: 0.1152 memory: 17350 grad_norm: 5.9031 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4827 loss: 1.4827 2022/07/23 11:11:44 - mmengine - INFO - Epoch(train) [47][560/3757] lr: 1.0000e-03 eta: 1 day, 13:27:59 time: 0.6638 data_time: 0.0655 memory: 17350 grad_norm: 5.9046 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5807 loss: 1.5807 2022/07/23 11:11:57 - mmengine - INFO - Epoch(train) [47][580/3757] lr: 1.0000e-03 eta: 1 day, 13:27:45 time: 0.6487 data_time: 0.0572 memory: 17350 grad_norm: 6.3202 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2414 loss: 1.2414 2022/07/23 11:12:12 - mmengine - INFO - Epoch(train) [47][600/3757] lr: 1.0000e-03 eta: 1 day, 13:27:33 time: 0.7117 data_time: 0.1244 memory: 17350 grad_norm: 6.1259 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4878 loss: 1.4878 2022/07/23 11:12:24 - mmengine - INFO - Epoch(train) [47][620/3757] lr: 1.0000e-03 eta: 1 day, 13:27:19 time: 0.6395 data_time: 0.1902 memory: 17350 grad_norm: 6.0223 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2402 loss: 1.2402 2022/07/23 11:12:38 - mmengine - INFO - Epoch(train) [47][640/3757] lr: 1.0000e-03 eta: 1 day, 13:27:06 time: 0.6635 data_time: 0.1182 memory: 17350 grad_norm: 5.9829 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0232 loss: 1.0232 2022/07/23 11:12:51 - mmengine - INFO - Epoch(train) [47][660/3757] lr: 1.0000e-03 eta: 1 day, 13:26:52 time: 0.6537 data_time: 0.2211 memory: 17350 grad_norm: 6.1652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2254 loss: 1.2254 2022/07/23 11:13:03 - mmengine - INFO - Epoch(train) [47][680/3757] lr: 1.0000e-03 eta: 1 day, 13:26:37 time: 0.6156 data_time: 0.2131 memory: 17350 grad_norm: 5.9378 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5161 loss: 1.5161 2022/07/23 11:13:17 - mmengine - INFO - Epoch(train) [47][700/3757] lr: 1.0000e-03 eta: 1 day, 13:26:25 time: 0.7170 data_time: 0.3576 memory: 17350 grad_norm: 5.7473 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3094 loss: 1.3094 2022/07/23 11:13:30 - mmengine - INFO - Epoch(train) [47][720/3757] lr: 1.0000e-03 eta: 1 day, 13:26:11 time: 0.6126 data_time: 0.2363 memory: 17350 grad_norm: 5.9269 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1153 loss: 1.1153 2022/07/23 11:13:45 - mmengine - INFO - Epoch(train) [47][740/3757] lr: 1.0000e-03 eta: 1 day, 13:26:00 time: 0.7623 data_time: 0.1908 memory: 17350 grad_norm: 5.7542 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0868 loss: 1.0868 2022/07/23 11:13:57 - mmengine - INFO - Epoch(train) [47][760/3757] lr: 1.0000e-03 eta: 1 day, 13:25:44 time: 0.5773 data_time: 0.0909 memory: 17350 grad_norm: 6.2379 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5001 loss: 1.5001 2022/07/23 11:14:11 - mmengine - INFO - Epoch(train) [47][780/3757] lr: 1.0000e-03 eta: 1 day, 13:25:32 time: 0.7268 data_time: 0.1112 memory: 17350 grad_norm: 5.8883 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6688 loss: 1.6688 2022/07/23 11:14:23 - mmengine - INFO - Epoch(train) [47][800/3757] lr: 1.0000e-03 eta: 1 day, 13:25:17 time: 0.6057 data_time: 0.0849 memory: 17350 grad_norm: 5.8185 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4717 loss: 1.4717 2022/07/23 11:14:38 - mmengine - INFO - Epoch(train) [47][820/3757] lr: 1.0000e-03 eta: 1 day, 13:25:06 time: 0.7643 data_time: 0.2627 memory: 17350 grad_norm: 6.1060 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0604 loss: 1.0604 2022/07/23 11:14:52 - mmengine - INFO - Epoch(train) [47][840/3757] lr: 1.0000e-03 eta: 1 day, 13:24:53 time: 0.6619 data_time: 0.2194 memory: 17350 grad_norm: 6.0159 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2692 loss: 1.2692 2022/07/23 11:15:05 - mmengine - INFO - Epoch(train) [47][860/3757] lr: 1.0000e-03 eta: 1 day, 13:24:40 time: 0.6642 data_time: 0.3303 memory: 17350 grad_norm: 6.1462 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3145 loss: 1.3145 2022/07/23 11:15:18 - mmengine - INFO - Epoch(train) [47][880/3757] lr: 1.0000e-03 eta: 1 day, 13:24:26 time: 0.6440 data_time: 0.2626 memory: 17350 grad_norm: 6.0237 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4004 loss: 1.4004 2022/07/23 11:15:30 - mmengine - INFO - Epoch(train) [47][900/3757] lr: 1.0000e-03 eta: 1 day, 13:24:11 time: 0.6214 data_time: 0.2498 memory: 17350 grad_norm: 5.9801 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1373 loss: 1.1373 2022/07/23 11:15:44 - mmengine - INFO - Epoch(train) [47][920/3757] lr: 1.0000e-03 eta: 1 day, 13:23:58 time: 0.6800 data_time: 0.2711 memory: 17350 grad_norm: 5.9037 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1342 loss: 1.1342 2022/07/23 11:15:57 - mmengine - INFO - Epoch(train) [47][940/3757] lr: 1.0000e-03 eta: 1 day, 13:23:45 time: 0.6663 data_time: 0.1444 memory: 17350 grad_norm: 6.2056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4016 loss: 1.4016 2022/07/23 11:16:11 - mmengine - INFO - Epoch(train) [47][960/3757] lr: 1.0000e-03 eta: 1 day, 13:23:32 time: 0.6924 data_time: 0.2388 memory: 17350 grad_norm: 6.1065 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3361 loss: 1.3361 2022/07/23 11:16:23 - mmengine - INFO - Epoch(train) [47][980/3757] lr: 1.0000e-03 eta: 1 day, 13:23:17 time: 0.5978 data_time: 0.2012 memory: 17350 grad_norm: 6.2191 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5068 loss: 1.5068 2022/07/23 11:16:37 - mmengine - INFO - Epoch(train) [47][1000/3757] lr: 1.0000e-03 eta: 1 day, 13:23:05 time: 0.7129 data_time: 0.3273 memory: 17350 grad_norm: 6.3274 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3892 loss: 1.3892 2022/07/23 11:16:50 - mmengine - INFO - Epoch(train) [47][1020/3757] lr: 1.0000e-03 eta: 1 day, 13:22:51 time: 0.6442 data_time: 0.1998 memory: 17350 grad_norm: 6.0085 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3050 loss: 1.3050 2022/07/23 11:17:04 - mmengine - INFO - Epoch(train) [47][1040/3757] lr: 1.0000e-03 eta: 1 day, 13:22:39 time: 0.6970 data_time: 0.3049 memory: 17350 grad_norm: 5.9428 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1468 loss: 1.1468 2022/07/23 11:17:17 - mmengine - INFO - Epoch(train) [47][1060/3757] lr: 1.0000e-03 eta: 1 day, 13:22:25 time: 0.6507 data_time: 0.2728 memory: 17350 grad_norm: 6.0421 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4371 loss: 1.4371 2022/07/23 11:17:30 - mmengine - INFO - Epoch(train) [47][1080/3757] lr: 1.0000e-03 eta: 1 day, 13:22:11 time: 0.6325 data_time: 0.2975 memory: 17350 grad_norm: 5.5905 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9170 loss: 0.9170 2022/07/23 11:17:44 - mmengine - INFO - Epoch(train) [47][1100/3757] lr: 1.0000e-03 eta: 1 day, 13:21:58 time: 0.6855 data_time: 0.3081 memory: 17350 grad_norm: 6.2079 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4330 loss: 1.4330 2022/07/23 11:17:58 - mmengine - INFO - Epoch(train) [47][1120/3757] lr: 1.0000e-03 eta: 1 day, 13:21:46 time: 0.7283 data_time: 0.2403 memory: 17350 grad_norm: 6.1647 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3723 loss: 1.3723 2022/07/23 11:18:13 - mmengine - INFO - Epoch(train) [47][1140/3757] lr: 1.0000e-03 eta: 1 day, 13:21:34 time: 0.7221 data_time: 0.0238 memory: 17350 grad_norm: 6.1581 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5020 loss: 1.5020 2022/07/23 11:18:25 - mmengine - INFO - Epoch(train) [47][1160/3757] lr: 1.0000e-03 eta: 1 day, 13:21:19 time: 0.6164 data_time: 0.0252 memory: 17350 grad_norm: 5.9865 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1706 loss: 1.1706 2022/07/23 11:18:36 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 11:18:40 - mmengine - INFO - Epoch(train) [47][1180/3757] lr: 1.0000e-03 eta: 1 day, 13:21:08 time: 0.7316 data_time: 0.0248 memory: 17350 grad_norm: 6.1146 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2808 loss: 1.2808 2022/07/23 11:18:51 - mmengine - INFO - Epoch(train) [47][1200/3757] lr: 1.0000e-03 eta: 1 day, 13:20:52 time: 0.5843 data_time: 0.0232 memory: 17350 grad_norm: 5.9976 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3297 loss: 1.3297 2022/07/23 11:19:06 - mmengine - INFO - Epoch(train) [47][1220/3757] lr: 1.0000e-03 eta: 1 day, 13:20:40 time: 0.7121 data_time: 0.0236 memory: 17350 grad_norm: 6.0850 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1146 loss: 1.1146 2022/07/23 11:19:18 - mmengine - INFO - Epoch(train) [47][1240/3757] lr: 1.0000e-03 eta: 1 day, 13:20:26 time: 0.6424 data_time: 0.0212 memory: 17350 grad_norm: 6.1456 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2716 loss: 1.2716 2022/07/23 11:19:33 - mmengine - INFO - Epoch(train) [47][1260/3757] lr: 1.0000e-03 eta: 1 day, 13:20:14 time: 0.7033 data_time: 0.0229 memory: 17350 grad_norm: 6.0308 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5170 loss: 1.5170 2022/07/23 11:19:46 - mmengine - INFO - Epoch(train) [47][1280/3757] lr: 1.0000e-03 eta: 1 day, 13:20:00 time: 0.6572 data_time: 0.0225 memory: 17350 grad_norm: 6.0581 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4426 loss: 1.4426 2022/07/23 11:19:59 - mmengine - INFO - Epoch(train) [47][1300/3757] lr: 1.0000e-03 eta: 1 day, 13:19:47 time: 0.6749 data_time: 0.0209 memory: 17350 grad_norm: 6.1960 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3787 loss: 1.3787 2022/07/23 11:20:12 - mmengine - INFO - Epoch(train) [47][1320/3757] lr: 1.0000e-03 eta: 1 day, 13:19:32 time: 0.6177 data_time: 0.0251 memory: 17350 grad_norm: 6.3571 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3791 loss: 1.3791 2022/07/23 11:20:26 - mmengine - INFO - Epoch(train) [47][1340/3757] lr: 1.0000e-03 eta: 1 day, 13:19:21 time: 0.7410 data_time: 0.0234 memory: 17350 grad_norm: 6.0650 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2578 loss: 1.2578 2022/07/23 11:20:38 - mmengine - INFO - Epoch(train) [47][1360/3757] lr: 1.0000e-03 eta: 1 day, 13:19:06 time: 0.6033 data_time: 0.0214 memory: 17350 grad_norm: 6.3206 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2762 loss: 1.2762 2022/07/23 11:20:53 - mmengine - INFO - Epoch(train) [47][1380/3757] lr: 1.0000e-03 eta: 1 day, 13:18:54 time: 0.7121 data_time: 0.0248 memory: 17350 grad_norm: 6.1345 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3896 loss: 1.3896 2022/07/23 11:21:05 - mmengine - INFO - Epoch(train) [47][1400/3757] lr: 1.0000e-03 eta: 1 day, 13:18:39 time: 0.6181 data_time: 0.0246 memory: 17350 grad_norm: 6.3405 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4997 loss: 1.4997 2022/07/23 11:21:19 - mmengine - INFO - Epoch(train) [47][1420/3757] lr: 1.0000e-03 eta: 1 day, 13:18:27 time: 0.7175 data_time: 0.0214 memory: 17350 grad_norm: 6.0458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2937 loss: 1.2937 2022/07/23 11:21:31 - mmengine - INFO - Epoch(train) [47][1440/3757] lr: 1.0000e-03 eta: 1 day, 13:18:11 time: 0.5566 data_time: 0.0242 memory: 17350 grad_norm: 5.9847 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4918 loss: 1.4918 2022/07/23 11:21:45 - mmengine - INFO - Epoch(train) [47][1460/3757] lr: 1.0000e-03 eta: 1 day, 13:17:59 time: 0.7281 data_time: 0.0229 memory: 17350 grad_norm: 6.2991 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6315 loss: 1.6315 2022/07/23 11:21:57 - mmengine - INFO - Epoch(train) [47][1480/3757] lr: 1.0000e-03 eta: 1 day, 13:17:45 time: 0.6096 data_time: 0.0242 memory: 17350 grad_norm: 6.0599 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2636 loss: 1.2636 2022/07/23 11:22:11 - mmengine - INFO - Epoch(train) [47][1500/3757] lr: 1.0000e-03 eta: 1 day, 13:17:32 time: 0.6987 data_time: 0.0231 memory: 17350 grad_norm: 6.1462 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4743 loss: 1.4743 2022/07/23 11:22:24 - mmengine - INFO - Epoch(train) [47][1520/3757] lr: 1.0000e-03 eta: 1 day, 13:17:18 time: 0.6153 data_time: 0.0387 memory: 17350 grad_norm: 5.9359 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3767 loss: 1.3767 2022/07/23 11:22:39 - mmengine - INFO - Epoch(train) [47][1540/3757] lr: 1.0000e-03 eta: 1 day, 13:17:06 time: 0.7394 data_time: 0.0248 memory: 17350 grad_norm: 5.9081 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1596 loss: 1.1596 2022/07/23 11:22:50 - mmengine - INFO - Epoch(train) [47][1560/3757] lr: 1.0000e-03 eta: 1 day, 13:16:51 time: 0.5974 data_time: 0.0360 memory: 17350 grad_norm: 6.0561 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3531 loss: 1.3531 2022/07/23 11:23:05 - mmengine - INFO - Epoch(train) [47][1580/3757] lr: 1.0000e-03 eta: 1 day, 13:16:38 time: 0.7020 data_time: 0.0722 memory: 17350 grad_norm: 6.2071 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2749 loss: 1.2749 2022/07/23 11:23:17 - mmengine - INFO - Epoch(train) [47][1600/3757] lr: 1.0000e-03 eta: 1 day, 13:16:25 time: 0.6429 data_time: 0.0523 memory: 17350 grad_norm: 5.8273 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9478 loss: 0.9478 2022/07/23 11:23:31 - mmengine - INFO - Epoch(train) [47][1620/3757] lr: 1.0000e-03 eta: 1 day, 13:16:11 time: 0.6764 data_time: 0.0362 memory: 17350 grad_norm: 6.0428 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4016 loss: 1.4016 2022/07/23 11:23:44 - mmengine - INFO - Epoch(train) [47][1640/3757] lr: 1.0000e-03 eta: 1 day, 13:15:58 time: 0.6432 data_time: 0.1085 memory: 17350 grad_norm: 6.1562 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5504 loss: 1.5504 2022/07/23 11:23:58 - mmengine - INFO - Epoch(train) [47][1660/3757] lr: 1.0000e-03 eta: 1 day, 13:15:45 time: 0.7195 data_time: 0.0676 memory: 17350 grad_norm: 5.9283 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0871 loss: 1.0871 2022/07/23 11:24:10 - mmengine - INFO - Epoch(train) [47][1680/3757] lr: 1.0000e-03 eta: 1 day, 13:15:30 time: 0.5732 data_time: 0.0222 memory: 17350 grad_norm: 6.0214 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2756 loss: 1.2756 2022/07/23 11:24:23 - mmengine - INFO - Epoch(train) [47][1700/3757] lr: 1.0000e-03 eta: 1 day, 13:15:17 time: 0.6801 data_time: 0.0538 memory: 17350 grad_norm: 6.3087 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1879 loss: 1.1879 2022/07/23 11:24:37 - mmengine - INFO - Epoch(train) [47][1720/3757] lr: 1.0000e-03 eta: 1 day, 13:15:04 time: 0.6612 data_time: 0.0871 memory: 17350 grad_norm: 6.0324 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3185 loss: 1.3185 2022/07/23 11:24:50 - mmengine - INFO - Epoch(train) [47][1740/3757] lr: 1.0000e-03 eta: 1 day, 13:14:50 time: 0.6523 data_time: 0.0307 memory: 17350 grad_norm: 6.1314 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0340 loss: 1.0340 2022/07/23 11:25:04 - mmengine - INFO - Epoch(train) [47][1760/3757] lr: 1.0000e-03 eta: 1 day, 13:14:38 time: 0.7129 data_time: 0.0817 memory: 17350 grad_norm: 6.1691 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0947 loss: 1.0947 2022/07/23 11:25:17 - mmengine - INFO - Epoch(train) [47][1780/3757] lr: 1.0000e-03 eta: 1 day, 13:14:24 time: 0.6442 data_time: 0.0444 memory: 17350 grad_norm: 6.2544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4919 loss: 1.4919 2022/07/23 11:25:30 - mmengine - INFO - Epoch(train) [47][1800/3757] lr: 1.0000e-03 eta: 1 day, 13:14:10 time: 0.6510 data_time: 0.0264 memory: 17350 grad_norm: 6.0723 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2531 loss: 1.2531 2022/07/23 11:25:45 - mmengine - INFO - Epoch(train) [47][1820/3757] lr: 1.0000e-03 eta: 1 day, 13:13:58 time: 0.7395 data_time: 0.0241 memory: 17350 grad_norm: 6.2265 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2188 loss: 1.2188 2022/07/23 11:25:57 - mmengine - INFO - Epoch(train) [47][1840/3757] lr: 1.0000e-03 eta: 1 day, 13:13:44 time: 0.6316 data_time: 0.0220 memory: 17350 grad_norm: 6.0553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1844 loss: 1.1844 2022/07/23 11:26:12 - mmengine - INFO - Epoch(train) [47][1860/3757] lr: 1.0000e-03 eta: 1 day, 13:13:33 time: 0.7626 data_time: 0.0241 memory: 17350 grad_norm: 6.3535 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2156 loss: 1.2156 2022/07/23 11:26:25 - mmengine - INFO - Epoch(train) [47][1880/3757] lr: 1.0000e-03 eta: 1 day, 13:13:18 time: 0.6095 data_time: 0.0224 memory: 17350 grad_norm: 6.0331 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1928 loss: 1.1928 2022/07/23 11:26:39 - mmengine - INFO - Epoch(train) [47][1900/3757] lr: 1.0000e-03 eta: 1 day, 13:13:06 time: 0.6963 data_time: 0.0221 memory: 17350 grad_norm: 5.8271 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3453 loss: 1.3453 2022/07/23 11:26:51 - mmengine - INFO - Epoch(train) [47][1920/3757] lr: 1.0000e-03 eta: 1 day, 13:12:52 time: 0.6346 data_time: 0.0294 memory: 17350 grad_norm: 5.9611 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2121 loss: 1.2121 2022/07/23 11:27:06 - mmengine - INFO - Epoch(train) [47][1940/3757] lr: 1.0000e-03 eta: 1 day, 13:12:40 time: 0.7266 data_time: 0.0256 memory: 17350 grad_norm: 5.7522 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2679 loss: 1.2679 2022/07/23 11:27:18 - mmengine - INFO - Epoch(train) [47][1960/3757] lr: 1.0000e-03 eta: 1 day, 13:12:25 time: 0.5831 data_time: 0.0220 memory: 17350 grad_norm: 5.9867 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4622 loss: 1.4622 2022/07/23 11:27:33 - mmengine - INFO - Epoch(train) [47][1980/3757] lr: 1.0000e-03 eta: 1 day, 13:12:13 time: 0.7522 data_time: 0.0228 memory: 17350 grad_norm: 6.0748 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1237 loss: 1.1237 2022/07/23 11:27:44 - mmengine - INFO - Epoch(train) [47][2000/3757] lr: 1.0000e-03 eta: 1 day, 13:11:58 time: 0.5888 data_time: 0.0237 memory: 17350 grad_norm: 6.0467 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5230 loss: 1.5230 2022/07/23 11:27:58 - mmengine - INFO - Epoch(train) [47][2020/3757] lr: 1.0000e-03 eta: 1 day, 13:11:45 time: 0.6996 data_time: 0.0223 memory: 17350 grad_norm: 5.9290 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2526 loss: 1.2526 2022/07/23 11:28:11 - mmengine - INFO - Epoch(train) [47][2040/3757] lr: 1.0000e-03 eta: 1 day, 13:11:31 time: 0.6230 data_time: 0.0224 memory: 17350 grad_norm: 5.9539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2195 loss: 1.2195 2022/07/23 11:28:26 - mmengine - INFO - Epoch(train) [47][2060/3757] lr: 1.0000e-03 eta: 1 day, 13:11:20 time: 0.7704 data_time: 0.0222 memory: 17350 grad_norm: 5.9320 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2743 loss: 1.2743 2022/07/23 11:28:38 - mmengine - INFO - Epoch(train) [47][2080/3757] lr: 1.0000e-03 eta: 1 day, 13:11:05 time: 0.5885 data_time: 0.0214 memory: 17350 grad_norm: 6.1743 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3062 loss: 1.3062 2022/07/23 11:28:52 - mmengine - INFO - Epoch(train) [47][2100/3757] lr: 1.0000e-03 eta: 1 day, 13:10:52 time: 0.6905 data_time: 0.0227 memory: 17350 grad_norm: 6.1589 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3915 loss: 1.3915 2022/07/23 11:29:06 - mmengine - INFO - Epoch(train) [47][2120/3757] lr: 1.0000e-03 eta: 1 day, 13:10:40 time: 0.6930 data_time: 0.0236 memory: 17350 grad_norm: 6.1466 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2431 loss: 1.2431 2022/07/23 11:29:19 - mmengine - INFO - Epoch(train) [47][2140/3757] lr: 1.0000e-03 eta: 1 day, 13:10:26 time: 0.6411 data_time: 0.0233 memory: 17350 grad_norm: 5.9242 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5702 loss: 1.5702 2022/07/23 11:29:33 - mmengine - INFO - Epoch(train) [47][2160/3757] lr: 1.0000e-03 eta: 1 day, 13:10:13 time: 0.7027 data_time: 0.0235 memory: 17350 grad_norm: 6.0508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4744 loss: 1.4744 2022/07/23 11:29:44 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 11:29:45 - mmengine - INFO - Epoch(train) [47][2180/3757] lr: 1.0000e-03 eta: 1 day, 13:09:59 time: 0.6256 data_time: 0.0227 memory: 17350 grad_norm: 6.4279 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2282 loss: 1.2282 2022/07/23 11:29:58 - mmengine - INFO - Epoch(train) [47][2200/3757] lr: 1.0000e-03 eta: 1 day, 13:09:45 time: 0.6640 data_time: 0.0215 memory: 17350 grad_norm: 6.1733 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3791 loss: 1.3791 2022/07/23 11:30:12 - mmengine - INFO - Epoch(train) [47][2220/3757] lr: 1.0000e-03 eta: 1 day, 13:09:32 time: 0.6751 data_time: 0.0385 memory: 17350 grad_norm: 6.0929 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2254 loss: 1.2254 2022/07/23 11:30:26 - mmengine - INFO - Epoch(train) [47][2240/3757] lr: 1.0000e-03 eta: 1 day, 13:09:20 time: 0.6962 data_time: 0.1017 memory: 17350 grad_norm: 6.1397 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2712 loss: 1.2712 2022/07/23 11:30:39 - mmengine - INFO - Epoch(train) [47][2260/3757] lr: 1.0000e-03 eta: 1 day, 13:09:06 time: 0.6671 data_time: 0.1677 memory: 17350 grad_norm: 5.9738 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2989 loss: 1.2989 2022/07/23 11:30:53 - mmengine - INFO - Epoch(train) [47][2280/3757] lr: 1.0000e-03 eta: 1 day, 13:08:53 time: 0.6656 data_time: 0.1047 memory: 17350 grad_norm: 6.1560 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1034 loss: 1.1034 2022/07/23 11:31:05 - mmengine - INFO - Epoch(train) [47][2300/3757] lr: 1.0000e-03 eta: 1 day, 13:08:39 time: 0.6459 data_time: 0.1632 memory: 17350 grad_norm: 6.0013 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2963 loss: 1.2963 2022/07/23 11:31:20 - mmengine - INFO - Epoch(train) [47][2320/3757] lr: 1.0000e-03 eta: 1 day, 13:08:27 time: 0.7001 data_time: 0.0726 memory: 17350 grad_norm: 5.9124 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2386 loss: 1.2386 2022/07/23 11:31:32 - mmengine - INFO - Epoch(train) [47][2340/3757] lr: 1.0000e-03 eta: 1 day, 13:08:13 time: 0.6477 data_time: 0.1481 memory: 17350 grad_norm: 5.9865 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1129 loss: 1.1129 2022/07/23 11:31:47 - mmengine - INFO - Epoch(train) [47][2360/3757] lr: 1.0000e-03 eta: 1 day, 13:08:01 time: 0.7239 data_time: 0.0938 memory: 17350 grad_norm: 6.2248 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5272 loss: 1.5272 2022/07/23 11:31:59 - mmengine - INFO - Epoch(train) [47][2380/3757] lr: 1.0000e-03 eta: 1 day, 13:07:46 time: 0.6096 data_time: 0.0260 memory: 17350 grad_norm: 6.0767 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3478 loss: 1.3478 2022/07/23 11:32:13 - mmengine - INFO - Epoch(train) [47][2400/3757] lr: 1.0000e-03 eta: 1 day, 13:07:34 time: 0.7046 data_time: 0.0223 memory: 17350 grad_norm: 6.2781 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3772 loss: 1.3772 2022/07/23 11:32:26 - mmengine - INFO - Epoch(train) [47][2420/3757] lr: 1.0000e-03 eta: 1 day, 13:07:19 time: 0.6182 data_time: 0.0243 memory: 17350 grad_norm: 5.8565 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3717 loss: 1.3717 2022/07/23 11:32:39 - mmengine - INFO - Epoch(train) [47][2440/3757] lr: 1.0000e-03 eta: 1 day, 13:07:06 time: 0.6714 data_time: 0.0289 memory: 17350 grad_norm: 6.1684 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2534 loss: 1.2534 2022/07/23 11:32:51 - mmengine - INFO - Epoch(train) [47][2460/3757] lr: 1.0000e-03 eta: 1 day, 13:06:51 time: 0.6149 data_time: 0.0716 memory: 17350 grad_norm: 6.0346 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2140 loss: 1.2140 2022/07/23 11:33:06 - mmengine - INFO - Epoch(train) [47][2480/3757] lr: 1.0000e-03 eta: 1 day, 13:06:40 time: 0.7356 data_time: 0.0500 memory: 17350 grad_norm: 6.1009 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1526 loss: 1.1526 2022/07/23 11:33:18 - mmengine - INFO - Epoch(train) [47][2500/3757] lr: 1.0000e-03 eta: 1 day, 13:06:25 time: 0.5881 data_time: 0.0241 memory: 17350 grad_norm: 6.2288 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3714 loss: 1.3714 2022/07/23 11:33:33 - mmengine - INFO - Epoch(train) [47][2520/3757] lr: 1.0000e-03 eta: 1 day, 13:06:13 time: 0.7478 data_time: 0.0215 memory: 17350 grad_norm: 6.1323 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4736 loss: 1.4736 2022/07/23 11:33:45 - mmengine - INFO - Epoch(train) [47][2540/3757] lr: 1.0000e-03 eta: 1 day, 13:05:58 time: 0.5933 data_time: 0.0233 memory: 17350 grad_norm: 6.1188 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4847 loss: 1.4847 2022/07/23 11:33:59 - mmengine - INFO - Epoch(train) [47][2560/3757] lr: 1.0000e-03 eta: 1 day, 13:05:46 time: 0.7363 data_time: 0.0222 memory: 17350 grad_norm: 5.8712 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2888 loss: 1.2888 2022/07/23 11:34:12 - mmengine - INFO - Epoch(train) [47][2580/3757] lr: 1.0000e-03 eta: 1 day, 13:05:32 time: 0.6094 data_time: 0.0222 memory: 17350 grad_norm: 6.1361 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1830 loss: 1.1830 2022/07/23 11:34:26 - mmengine - INFO - Epoch(train) [47][2600/3757] lr: 1.0000e-03 eta: 1 day, 13:05:20 time: 0.7148 data_time: 0.0223 memory: 17350 grad_norm: 5.8290 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4291 loss: 1.4291 2022/07/23 11:34:38 - mmengine - INFO - Epoch(train) [47][2620/3757] lr: 1.0000e-03 eta: 1 day, 13:05:05 time: 0.6012 data_time: 0.0229 memory: 17350 grad_norm: 6.2080 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0848 loss: 1.0848 2022/07/23 11:34:53 - mmengine - INFO - Epoch(train) [47][2640/3757] lr: 1.0000e-03 eta: 1 day, 13:04:53 time: 0.7527 data_time: 0.0216 memory: 17350 grad_norm: 5.7268 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1386 loss: 1.1386 2022/07/23 11:35:05 - mmengine - INFO - Epoch(train) [47][2660/3757] lr: 1.0000e-03 eta: 1 day, 13:04:39 time: 0.6028 data_time: 0.0244 memory: 17350 grad_norm: 6.1268 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3552 loss: 1.3552 2022/07/23 11:35:19 - mmengine - INFO - Epoch(train) [47][2680/3757] lr: 1.0000e-03 eta: 1 day, 13:04:26 time: 0.7111 data_time: 0.0223 memory: 17350 grad_norm: 6.1524 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2484 loss: 1.2484 2022/07/23 11:35:32 - mmengine - INFO - Epoch(train) [47][2700/3757] lr: 1.0000e-03 eta: 1 day, 13:04:12 time: 0.6142 data_time: 0.0457 memory: 17350 grad_norm: 6.1615 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2003 loss: 1.2003 2022/07/23 11:35:46 - mmengine - INFO - Epoch(train) [47][2720/3757] lr: 1.0000e-03 eta: 1 day, 13:04:00 time: 0.7390 data_time: 0.0373 memory: 17350 grad_norm: 6.1649 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0992 loss: 1.0992 2022/07/23 11:35:59 - mmengine - INFO - Epoch(train) [47][2740/3757] lr: 1.0000e-03 eta: 1 day, 13:03:46 time: 0.6313 data_time: 0.0319 memory: 17350 grad_norm: 6.0721 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4408 loss: 1.4408 2022/07/23 11:36:12 - mmengine - INFO - Epoch(train) [47][2760/3757] lr: 1.0000e-03 eta: 1 day, 13:03:32 time: 0.6472 data_time: 0.0230 memory: 17350 grad_norm: 6.0993 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1556 loss: 1.1556 2022/07/23 11:36:25 - mmengine - INFO - Epoch(train) [47][2780/3757] lr: 1.0000e-03 eta: 1 day, 13:03:19 time: 0.6676 data_time: 0.1594 memory: 17350 grad_norm: 6.0718 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5876 loss: 1.5876 2022/07/23 11:36:38 - mmengine - INFO - Epoch(train) [47][2800/3757] lr: 1.0000e-03 eta: 1 day, 13:03:05 time: 0.6423 data_time: 0.1873 memory: 17350 grad_norm: 6.1497 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0690 loss: 1.0690 2022/07/23 11:36:53 - mmengine - INFO - Epoch(train) [47][2820/3757] lr: 1.0000e-03 eta: 1 day, 13:02:53 time: 0.7231 data_time: 0.3714 memory: 17350 grad_norm: 6.2714 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3103 loss: 1.3103 2022/07/23 11:37:05 - mmengine - INFO - Epoch(train) [47][2840/3757] lr: 1.0000e-03 eta: 1 day, 13:02:39 time: 0.6251 data_time: 0.2918 memory: 17350 grad_norm: 6.1341 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4460 loss: 1.4460 2022/07/23 11:37:19 - mmengine - INFO - Epoch(train) [47][2860/3757] lr: 1.0000e-03 eta: 1 day, 13:02:26 time: 0.7078 data_time: 0.3698 memory: 17350 grad_norm: 6.2280 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3850 loss: 1.3850 2022/07/23 11:37:31 - mmengine - INFO - Epoch(train) [47][2880/3757] lr: 1.0000e-03 eta: 1 day, 13:02:11 time: 0.5972 data_time: 0.2560 memory: 17350 grad_norm: 6.0000 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2651 loss: 1.2651 2022/07/23 11:37:45 - mmengine - INFO - Epoch(train) [47][2900/3757] lr: 1.0000e-03 eta: 1 day, 13:01:58 time: 0.6834 data_time: 0.3183 memory: 17350 grad_norm: 6.2908 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6585 loss: 1.6585 2022/07/23 11:37:59 - mmengine - INFO - Epoch(train) [47][2920/3757] lr: 1.0000e-03 eta: 1 day, 13:01:46 time: 0.6942 data_time: 0.1705 memory: 17350 grad_norm: 5.9158 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3802 loss: 1.3802 2022/07/23 11:38:12 - mmengine - INFO - Epoch(train) [47][2940/3757] lr: 1.0000e-03 eta: 1 day, 13:01:31 time: 0.6335 data_time: 0.1554 memory: 17350 grad_norm: 6.0154 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6747 loss: 1.6747 2022/07/23 11:38:25 - mmengine - INFO - Epoch(train) [47][2960/3757] lr: 1.0000e-03 eta: 1 day, 13:01:18 time: 0.6564 data_time: 0.1070 memory: 17350 grad_norm: 6.0831 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4501 loss: 1.4501 2022/07/23 11:38:38 - mmengine - INFO - Epoch(train) [47][2980/3757] lr: 1.0000e-03 eta: 1 day, 13:01:05 time: 0.6775 data_time: 0.1651 memory: 17350 grad_norm: 6.1441 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2486 loss: 1.2486 2022/07/23 11:38:52 - mmengine - INFO - Epoch(train) [47][3000/3757] lr: 1.0000e-03 eta: 1 day, 13:00:52 time: 0.6932 data_time: 0.0251 memory: 17350 grad_norm: 6.1872 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4612 loss: 1.4612 2022/07/23 11:39:04 - mmengine - INFO - Epoch(train) [47][3020/3757] lr: 1.0000e-03 eta: 1 day, 13:00:38 time: 0.6127 data_time: 0.0268 memory: 17350 grad_norm: 5.8894 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2154 loss: 1.2154 2022/07/23 11:39:20 - mmengine - INFO - Epoch(train) [47][3040/3757] lr: 1.0000e-03 eta: 1 day, 13:00:26 time: 0.7567 data_time: 0.0215 memory: 17350 grad_norm: 6.1611 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3788 loss: 1.3788 2022/07/23 11:39:31 - mmengine - INFO - Epoch(train) [47][3060/3757] lr: 1.0000e-03 eta: 1 day, 13:00:10 time: 0.5450 data_time: 0.0373 memory: 17350 grad_norm: 5.9602 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2037 loss: 1.2037 2022/07/23 11:39:44 - mmengine - INFO - Epoch(train) [47][3080/3757] lr: 1.0000e-03 eta: 1 day, 12:59:57 time: 0.6901 data_time: 0.0671 memory: 17350 grad_norm: 6.1852 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1364 loss: 1.1364 2022/07/23 11:39:58 - mmengine - INFO - Epoch(train) [47][3100/3757] lr: 1.0000e-03 eta: 1 day, 12:59:44 time: 0.6668 data_time: 0.2126 memory: 17350 grad_norm: 6.1547 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3147 loss: 1.3147 2022/07/23 11:40:12 - mmengine - INFO - Epoch(train) [47][3120/3757] lr: 1.0000e-03 eta: 1 day, 12:59:32 time: 0.7315 data_time: 0.1302 memory: 17350 grad_norm: 6.0953 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.3333 loss: 1.3333 2022/07/23 11:40:25 - mmengine - INFO - Epoch(train) [47][3140/3757] lr: 1.0000e-03 eta: 1 day, 12:59:18 time: 0.6317 data_time: 0.0423 memory: 17350 grad_norm: 6.1319 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2256 loss: 1.2256 2022/07/23 11:40:39 - mmengine - INFO - Epoch(train) [47][3160/3757] lr: 1.0000e-03 eta: 1 day, 12:59:05 time: 0.6800 data_time: 0.0217 memory: 17350 grad_norm: 6.2745 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3439 loss: 1.3439 2022/07/23 11:40:51 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 11:40:52 - mmengine - INFO - Epoch(train) [47][3180/3757] lr: 1.0000e-03 eta: 1 day, 12:58:52 time: 0.6780 data_time: 0.0298 memory: 17350 grad_norm: 6.1832 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5306 loss: 1.5306 2022/07/23 11:41:05 - mmengine - INFO - Epoch(train) [47][3200/3757] lr: 1.0000e-03 eta: 1 day, 12:58:39 time: 0.6663 data_time: 0.0215 memory: 17350 grad_norm: 5.7952 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2146 loss: 1.2146 2022/07/23 11:41:18 - mmengine - INFO - Epoch(train) [47][3220/3757] lr: 1.0000e-03 eta: 1 day, 12:58:24 time: 0.6332 data_time: 0.0220 memory: 17350 grad_norm: 6.0254 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1797 loss: 1.1797 2022/07/23 11:41:33 - mmengine - INFO - Epoch(train) [47][3240/3757] lr: 1.0000e-03 eta: 1 day, 12:58:13 time: 0.7466 data_time: 0.0221 memory: 17350 grad_norm: 5.9783 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3233 loss: 1.3233 2022/07/23 11:41:46 - mmengine - INFO - Epoch(train) [47][3260/3757] lr: 1.0000e-03 eta: 1 day, 12:57:59 time: 0.6458 data_time: 0.0251 memory: 17350 grad_norm: 5.9767 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1236 loss: 1.1236 2022/07/23 11:41:59 - mmengine - INFO - Epoch(train) [47][3280/3757] lr: 1.0000e-03 eta: 1 day, 12:57:46 time: 0.6690 data_time: 0.0208 memory: 17350 grad_norm: 6.1451 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6397 loss: 1.6397 2022/07/23 11:42:12 - mmengine - INFO - Epoch(train) [47][3300/3757] lr: 1.0000e-03 eta: 1 day, 12:57:32 time: 0.6355 data_time: 0.0310 memory: 17350 grad_norm: 5.7492 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4598 loss: 1.4598 2022/07/23 11:42:26 - mmengine - INFO - Epoch(train) [47][3320/3757] lr: 1.0000e-03 eta: 1 day, 12:57:19 time: 0.7070 data_time: 0.0412 memory: 17350 grad_norm: 6.1222 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2449 loss: 1.2449 2022/07/23 11:42:39 - mmengine - INFO - Epoch(train) [47][3340/3757] lr: 1.0000e-03 eta: 1 day, 12:57:06 time: 0.6494 data_time: 0.2375 memory: 17350 grad_norm: 6.0795 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4460 loss: 1.4460 2022/07/23 11:42:52 - mmengine - INFO - Epoch(train) [47][3360/3757] lr: 1.0000e-03 eta: 1 day, 12:56:51 time: 0.6217 data_time: 0.2619 memory: 17350 grad_norm: 6.1608 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3780 loss: 1.3780 2022/07/23 11:43:06 - mmengine - INFO - Epoch(train) [47][3380/3757] lr: 1.0000e-03 eta: 1 day, 12:56:40 time: 0.7341 data_time: 0.4018 memory: 17350 grad_norm: 6.1788 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5390 loss: 1.5390 2022/07/23 11:43:18 - mmengine - INFO - Epoch(train) [47][3400/3757] lr: 1.0000e-03 eta: 1 day, 12:56:25 time: 0.5958 data_time: 0.2533 memory: 17350 grad_norm: 6.1678 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0996 loss: 1.0996 2022/07/23 11:43:33 - mmengine - INFO - Epoch(train) [47][3420/3757] lr: 1.0000e-03 eta: 1 day, 12:56:13 time: 0.7279 data_time: 0.3382 memory: 17350 grad_norm: 6.1217 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4459 loss: 1.4459 2022/07/23 11:43:46 - mmengine - INFO - Epoch(train) [47][3440/3757] lr: 1.0000e-03 eta: 1 day, 12:55:59 time: 0.6313 data_time: 0.1870 memory: 17350 grad_norm: 6.1824 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3338 loss: 1.3338 2022/07/23 11:43:59 - mmengine - INFO - Epoch(train) [47][3460/3757] lr: 1.0000e-03 eta: 1 day, 12:55:45 time: 0.6621 data_time: 0.2092 memory: 17350 grad_norm: 5.7822 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1686 loss: 1.1686 2022/07/23 11:44:11 - mmengine - INFO - Epoch(train) [47][3480/3757] lr: 1.0000e-03 eta: 1 day, 12:55:31 time: 0.6329 data_time: 0.1668 memory: 17350 grad_norm: 5.9218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2486 loss: 1.2486 2022/07/23 11:44:26 - mmengine - INFO - Epoch(train) [47][3500/3757] lr: 1.0000e-03 eta: 1 day, 12:55:19 time: 0.7241 data_time: 0.3550 memory: 17350 grad_norm: 6.2426 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4848 loss: 1.4848 2022/07/23 11:44:38 - mmengine - INFO - Epoch(train) [47][3520/3757] lr: 1.0000e-03 eta: 1 day, 12:55:04 time: 0.6043 data_time: 0.1917 memory: 17350 grad_norm: 6.2429 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2272 loss: 1.2272 2022/07/23 11:44:52 - mmengine - INFO - Epoch(train) [47][3540/3757] lr: 1.0000e-03 eta: 1 day, 12:54:51 time: 0.6912 data_time: 0.2373 memory: 17350 grad_norm: 6.2375 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.1463 loss: 1.1463 2022/07/23 11:45:06 - mmengine - INFO - Epoch(train) [47][3560/3757] lr: 1.0000e-03 eta: 1 day, 12:54:39 time: 0.7029 data_time: 0.1821 memory: 17350 grad_norm: 6.3152 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5497 loss: 1.5497 2022/07/23 11:45:19 - mmengine - INFO - Epoch(train) [47][3580/3757] lr: 1.0000e-03 eta: 1 day, 12:54:25 time: 0.6373 data_time: 0.1729 memory: 17350 grad_norm: 6.0292 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2243 loss: 1.2243 2022/07/23 11:45:32 - mmengine - INFO - Epoch(train) [47][3600/3757] lr: 1.0000e-03 eta: 1 day, 12:54:12 time: 0.6725 data_time: 0.1749 memory: 17350 grad_norm: 5.9852 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3861 loss: 1.3861 2022/07/23 11:45:46 - mmengine - INFO - Epoch(train) [47][3620/3757] lr: 1.0000e-03 eta: 1 day, 12:53:59 time: 0.6831 data_time: 0.2936 memory: 17350 grad_norm: 6.3111 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3195 loss: 1.3195 2022/07/23 11:45:59 - mmengine - INFO - Epoch(train) [47][3640/3757] lr: 1.0000e-03 eta: 1 day, 12:53:45 time: 0.6539 data_time: 0.1936 memory: 17350 grad_norm: 6.0666 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4488 loss: 1.4488 2022/07/23 11:46:13 - mmengine - INFO - Epoch(train) [47][3660/3757] lr: 1.0000e-03 eta: 1 day, 12:53:32 time: 0.6792 data_time: 0.1630 memory: 17350 grad_norm: 6.2090 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3149 loss: 1.3149 2022/07/23 11:46:26 - mmengine - INFO - Epoch(train) [47][3680/3757] lr: 1.0000e-03 eta: 1 day, 12:53:19 time: 0.6637 data_time: 0.1503 memory: 17350 grad_norm: 6.0582 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3117 loss: 1.3117 2022/07/23 11:46:39 - mmengine - INFO - Epoch(train) [47][3700/3757] lr: 1.0000e-03 eta: 1 day, 12:53:05 time: 0.6348 data_time: 0.1091 memory: 17350 grad_norm: 6.1441 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4525 loss: 1.4525 2022/07/23 11:46:52 - mmengine - INFO - Epoch(train) [47][3720/3757] lr: 1.0000e-03 eta: 1 day, 12:52:51 time: 0.6723 data_time: 0.0756 memory: 17350 grad_norm: 5.9767 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2936 loss: 1.2936 2022/07/23 11:47:05 - mmengine - INFO - Epoch(train) [47][3740/3757] lr: 1.0000e-03 eta: 1 day, 12:52:38 time: 0.6608 data_time: 0.0874 memory: 17350 grad_norm: 6.0433 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2790 loss: 1.2790 2022/07/23 11:47:13 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 11:47:13 - mmengine - INFO - Epoch(train) [47][3757/3757] lr: 1.0000e-03 eta: 1 day, 12:52:38 time: 0.4541 data_time: 0.0426 memory: 17350 grad_norm: 6.1863 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.2376 loss: 1.2376 2022/07/23 11:47:30 - mmengine - INFO - Epoch(val) [47][20/310] eta: 0:04:02 time: 0.8350 data_time: 0.7158 memory: 3406 2022/07/23 11:47:41 - mmengine - INFO - Epoch(val) [47][40/310] eta: 0:02:28 time: 0.5508 data_time: 0.4360 memory: 3406 2022/07/23 11:47:57 - mmengine - INFO - Epoch(val) [47][60/310] eta: 0:03:14 time: 0.7782 data_time: 0.6625 memory: 3406 2022/07/23 11:48:07 - mmengine - INFO - Epoch(val) [47][80/310] eta: 0:01:58 time: 0.5152 data_time: 0.4037 memory: 3406 2022/07/23 11:48:22 - mmengine - INFO - Epoch(val) [47][100/310] eta: 0:02:42 time: 0.7723 data_time: 0.6595 memory: 3406 2022/07/23 11:48:36 - mmengine - INFO - Epoch(val) [47][120/310] eta: 0:02:05 time: 0.6593 data_time: 0.5456 memory: 3406 2022/07/23 11:48:49 - mmengine - INFO - Epoch(val) [47][140/310] eta: 0:01:58 time: 0.6957 data_time: 0.5826 memory: 3406 2022/07/23 11:49:02 - mmengine - INFO - Epoch(val) [47][160/310] eta: 0:01:33 time: 0.6250 data_time: 0.5121 memory: 3406 2022/07/23 11:49:16 - mmengine - INFO - Epoch(val) [47][180/310] eta: 0:01:32 time: 0.7139 data_time: 0.6007 memory: 3406 2022/07/23 11:49:29 - mmengine - INFO - Epoch(val) [47][200/310] eta: 0:01:08 time: 0.6207 data_time: 0.5080 memory: 3406 2022/07/23 11:49:42 - mmengine - INFO - Epoch(val) [47][220/310] eta: 0:00:59 time: 0.6589 data_time: 0.5457 memory: 3406 2022/07/23 11:49:54 - mmengine - INFO - Epoch(val) [47][240/310] eta: 0:00:41 time: 0.5908 data_time: 0.4793 memory: 3406 2022/07/23 11:50:08 - mmengine - INFO - Epoch(val) [47][260/310] eta: 0:00:36 time: 0.7357 data_time: 0.6219 memory: 3406 2022/07/23 11:50:21 - mmengine - INFO - Epoch(val) [47][280/310] eta: 0:00:18 time: 0.6239 data_time: 0.5084 memory: 3406 2022/07/23 11:50:35 - mmengine - INFO - Epoch(val) [47][300/310] eta: 0:00:07 time: 0.7031 data_time: 0.5896 memory: 3406 2022/07/23 11:50:40 - mmengine - INFO - Epoch(val) [47][310/310] acc/top1: 0.6708 acc/top5: 0.8712 acc/mean1: 0.6708 2022/07/23 11:50:41 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_47.pth is removed 2022/07/23 11:50:42 - mmengine - INFO - The best checkpoint with 0.6708 acc/top1 at 48 epoch is saved to best_acc/top1_epoch_48.pth. 2022/07/23 11:51:00 - mmengine - INFO - Epoch(train) [48][20/3757] lr: 1.0000e-03 eta: 1 day, 12:52:06 time: 0.8896 data_time: 0.5526 memory: 17350 grad_norm: 6.1503 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3829 loss: 1.3829 2022/07/23 11:51:12 - mmengine - INFO - Epoch(train) [48][40/3757] lr: 1.0000e-03 eta: 1 day, 12:51:50 time: 0.5788 data_time: 0.2551 memory: 17350 grad_norm: 6.1259 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2082 loss: 1.2082 2022/07/23 11:51:26 - mmengine - INFO - Epoch(train) [48][60/3757] lr: 1.0000e-03 eta: 1 day, 12:51:38 time: 0.7377 data_time: 0.4080 memory: 17350 grad_norm: 6.1812 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4562 loss: 1.4562 2022/07/23 11:51:39 - mmengine - INFO - Epoch(train) [48][80/3757] lr: 1.0000e-03 eta: 1 day, 12:51:25 time: 0.6548 data_time: 0.3283 memory: 17350 grad_norm: 6.1954 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7046 loss: 1.7046 2022/07/23 11:51:54 - mmengine - INFO - Epoch(train) [48][100/3757] lr: 1.0000e-03 eta: 1 day, 12:51:13 time: 0.7108 data_time: 0.3859 memory: 17350 grad_norm: 5.9715 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4310 loss: 1.4310 2022/07/23 11:52:06 - mmengine - INFO - Epoch(train) [48][120/3757] lr: 1.0000e-03 eta: 1 day, 12:50:58 time: 0.6098 data_time: 0.2754 memory: 17350 grad_norm: 6.1079 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8809 loss: 0.8809 2022/07/23 11:52:20 - mmengine - INFO - Epoch(train) [48][140/3757] lr: 1.0000e-03 eta: 1 day, 12:50:46 time: 0.7276 data_time: 0.3533 memory: 17350 grad_norm: 6.0046 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1545 loss: 1.1545 2022/07/23 11:52:32 - mmengine - INFO - Epoch(train) [48][160/3757] lr: 1.0000e-03 eta: 1 day, 12:50:30 time: 0.5677 data_time: 0.1950 memory: 17350 grad_norm: 6.1659 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6005 loss: 1.6005 2022/07/23 11:52:47 - mmengine - INFO - Epoch(train) [48][180/3757] lr: 1.0000e-03 eta: 1 day, 12:50:19 time: 0.7404 data_time: 0.3905 memory: 17350 grad_norm: 6.1739 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4728 loss: 1.4728 2022/07/23 11:52:59 - mmengine - INFO - Epoch(train) [48][200/3757] lr: 1.0000e-03 eta: 1 day, 12:50:04 time: 0.5991 data_time: 0.2547 memory: 17350 grad_norm: 6.0114 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2888 loss: 1.2888 2022/07/23 11:53:17 - mmengine - INFO - Epoch(train) [48][220/3757] lr: 1.0000e-03 eta: 1 day, 12:49:57 time: 0.9449 data_time: 0.1601 memory: 17350 grad_norm: 6.2630 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4804 loss: 1.4804 2022/07/23 11:53:27 - mmengine - INFO - Epoch(train) [48][240/3757] lr: 1.0000e-03 eta: 1 day, 12:49:39 time: 0.4693 data_time: 0.0234 memory: 17350 grad_norm: 6.0663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2573 loss: 1.2573 2022/07/23 11:53:41 - mmengine - INFO - Epoch(train) [48][260/3757] lr: 1.0000e-03 eta: 1 day, 12:49:26 time: 0.6866 data_time: 0.0139 memory: 17350 grad_norm: 5.8753 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6434 loss: 1.6434 2022/07/23 11:53:54 - mmengine - INFO - Epoch(train) [48][280/3757] lr: 1.0000e-03 eta: 1 day, 12:49:13 time: 0.6892 data_time: 0.0247 memory: 17350 grad_norm: 5.9179 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3755 loss: 1.3755 2022/07/23 11:54:07 - mmengine - INFO - Epoch(train) [48][300/3757] lr: 1.0000e-03 eta: 1 day, 12:48:59 time: 0.6236 data_time: 0.0204 memory: 17350 grad_norm: 5.9319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2844 loss: 1.2844 2022/07/23 11:54:20 - mmengine - INFO - Epoch(train) [48][320/3757] lr: 1.0000e-03 eta: 1 day, 12:48:46 time: 0.6789 data_time: 0.0264 memory: 17350 grad_norm: 6.0873 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4066 loss: 1.4066 2022/07/23 11:54:34 - mmengine - INFO - Epoch(train) [48][340/3757] lr: 1.0000e-03 eta: 1 day, 12:48:33 time: 0.6634 data_time: 0.0224 memory: 17350 grad_norm: 6.2444 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6388 loss: 1.6388 2022/07/23 11:54:47 - mmengine - INFO - Epoch(train) [48][360/3757] lr: 1.0000e-03 eta: 1 day, 12:48:19 time: 0.6737 data_time: 0.0230 memory: 17350 grad_norm: 6.0313 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4005 loss: 1.4005 2022/07/23 11:55:00 - mmengine - INFO - Epoch(train) [48][380/3757] lr: 1.0000e-03 eta: 1 day, 12:48:05 time: 0.6349 data_time: 0.0228 memory: 17350 grad_norm: 6.1042 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1714 loss: 1.1714 2022/07/23 11:55:15 - mmengine - INFO - Epoch(train) [48][400/3757] lr: 1.0000e-03 eta: 1 day, 12:47:54 time: 0.7529 data_time: 0.0236 memory: 17350 grad_norm: 6.1158 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2156 loss: 1.2156 2022/07/23 11:55:27 - mmengine - INFO - Epoch(train) [48][420/3757] lr: 1.0000e-03 eta: 1 day, 12:47:39 time: 0.6120 data_time: 0.0227 memory: 17350 grad_norm: 6.2294 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4282 loss: 1.4282 2022/07/23 11:55:29 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 11:55:42 - mmengine - INFO - Epoch(train) [48][440/3757] lr: 1.0000e-03 eta: 1 day, 12:47:27 time: 0.7261 data_time: 0.0216 memory: 17350 grad_norm: 5.9553 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4291 loss: 1.4291 2022/07/23 11:55:54 - mmengine - INFO - Epoch(train) [48][460/3757] lr: 1.0000e-03 eta: 1 day, 12:47:13 time: 0.6245 data_time: 0.0221 memory: 17350 grad_norm: 5.8739 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3361 loss: 1.3361 2022/07/23 11:56:09 - mmengine - INFO - Epoch(train) [48][480/3757] lr: 1.0000e-03 eta: 1 day, 12:47:01 time: 0.7206 data_time: 0.0222 memory: 17350 grad_norm: 6.1294 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3713 loss: 1.3713 2022/07/23 11:56:21 - mmengine - INFO - Epoch(train) [48][500/3757] lr: 1.0000e-03 eta: 1 day, 12:46:47 time: 0.6255 data_time: 0.0249 memory: 17350 grad_norm: 6.1825 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2886 loss: 1.2886 2022/07/23 11:56:34 - mmengine - INFO - Epoch(train) [48][520/3757] lr: 1.0000e-03 eta: 1 day, 12:46:33 time: 0.6586 data_time: 0.0225 memory: 17350 grad_norm: 6.1623 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3804 loss: 1.3804 2022/07/23 11:56:48 - mmengine - INFO - Epoch(train) [48][540/3757] lr: 1.0000e-03 eta: 1 day, 12:46:20 time: 0.6578 data_time: 0.0220 memory: 17350 grad_norm: 6.1347 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5029 loss: 1.5029 2022/07/23 11:57:00 - mmengine - INFO - Epoch(train) [48][560/3757] lr: 1.0000e-03 eta: 1 day, 12:46:06 time: 0.6410 data_time: 0.0221 memory: 17350 grad_norm: 6.1952 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3106 loss: 1.3106 2022/07/23 11:57:14 - mmengine - INFO - Epoch(train) [48][580/3757] lr: 1.0000e-03 eta: 1 day, 12:45:52 time: 0.6618 data_time: 0.0294 memory: 17350 grad_norm: 6.1085 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4385 loss: 1.4385 2022/07/23 11:57:27 - mmengine - INFO - Epoch(train) [48][600/3757] lr: 1.0000e-03 eta: 1 day, 12:45:39 time: 0.6859 data_time: 0.0217 memory: 17350 grad_norm: 6.2257 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2551 loss: 1.2551 2022/07/23 11:57:40 - mmengine - INFO - Epoch(train) [48][620/3757] lr: 1.0000e-03 eta: 1 day, 12:45:26 time: 0.6505 data_time: 0.0235 memory: 17350 grad_norm: 5.9894 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3829 loss: 1.3829 2022/07/23 11:57:54 - mmengine - INFO - Epoch(train) [48][640/3757] lr: 1.0000e-03 eta: 1 day, 12:45:13 time: 0.6925 data_time: 0.0236 memory: 17350 grad_norm: 5.9215 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4166 loss: 1.4166 2022/07/23 11:58:07 - mmengine - INFO - Epoch(train) [48][660/3757] lr: 1.0000e-03 eta: 1 day, 12:44:59 time: 0.6454 data_time: 0.0228 memory: 17350 grad_norm: 6.0221 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2101 loss: 1.2101 2022/07/23 11:58:22 - mmengine - INFO - Epoch(train) [48][680/3757] lr: 1.0000e-03 eta: 1 day, 12:44:47 time: 0.7253 data_time: 0.0244 memory: 17350 grad_norm: 5.9995 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1938 loss: 1.1938 2022/07/23 11:58:34 - mmengine - INFO - Epoch(train) [48][700/3757] lr: 1.0000e-03 eta: 1 day, 12:44:33 time: 0.6103 data_time: 0.0227 memory: 17350 grad_norm: 5.8156 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2212 loss: 1.2212 2022/07/23 11:58:48 - mmengine - INFO - Epoch(train) [48][720/3757] lr: 1.0000e-03 eta: 1 day, 12:44:20 time: 0.7201 data_time: 0.0212 memory: 17350 grad_norm: 6.2734 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4004 loss: 1.4004 2022/07/23 11:59:01 - mmengine - INFO - Epoch(train) [48][740/3757] lr: 1.0000e-03 eta: 1 day, 12:44:06 time: 0.6267 data_time: 0.0228 memory: 17350 grad_norm: 5.9732 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2107 loss: 1.2107 2022/07/23 11:59:16 - mmengine - INFO - Epoch(train) [48][760/3757] lr: 1.0000e-03 eta: 1 day, 12:43:54 time: 0.7361 data_time: 0.0228 memory: 17350 grad_norm: 6.1908 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2190 loss: 1.2190 2022/07/23 11:59:28 - mmengine - INFO - Epoch(train) [48][780/3757] lr: 1.0000e-03 eta: 1 day, 12:43:40 time: 0.6045 data_time: 0.0234 memory: 17350 grad_norm: 5.8848 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1119 loss: 1.1119 2022/07/23 11:59:42 - mmengine - INFO - Epoch(train) [48][800/3757] lr: 1.0000e-03 eta: 1 day, 12:43:27 time: 0.7027 data_time: 0.0242 memory: 17350 grad_norm: 6.3998 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5520 loss: 1.5520 2022/07/23 11:59:55 - mmengine - INFO - Epoch(train) [48][820/3757] lr: 1.0000e-03 eta: 1 day, 12:43:13 time: 0.6379 data_time: 0.0234 memory: 17350 grad_norm: 6.0447 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2980 loss: 1.2980 2022/07/23 12:00:10 - mmengine - INFO - Epoch(train) [48][840/3757] lr: 1.0000e-03 eta: 1 day, 12:43:02 time: 0.7615 data_time: 0.0249 memory: 17350 grad_norm: 5.9362 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3601 loss: 1.3601 2022/07/23 12:00:21 - mmengine - INFO - Epoch(train) [48][860/3757] lr: 1.0000e-03 eta: 1 day, 12:42:47 time: 0.5775 data_time: 0.0216 memory: 17350 grad_norm: 6.1859 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2429 loss: 1.2429 2022/07/23 12:00:37 - mmengine - INFO - Epoch(train) [48][880/3757] lr: 1.0000e-03 eta: 1 day, 12:42:36 time: 0.7706 data_time: 0.0304 memory: 17350 grad_norm: 6.1261 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2805 loss: 1.2805 2022/07/23 12:00:48 - mmengine - INFO - Epoch(train) [48][900/3757] lr: 1.0000e-03 eta: 1 day, 12:42:21 time: 0.5842 data_time: 0.0228 memory: 17350 grad_norm: 6.2142 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1629 loss: 1.1629 2022/07/23 12:01:03 - mmengine - INFO - Epoch(train) [48][920/3757] lr: 1.0000e-03 eta: 1 day, 12:42:08 time: 0.7061 data_time: 0.0236 memory: 17350 grad_norm: 6.0441 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3508 loss: 1.3508 2022/07/23 12:01:15 - mmengine - INFO - Epoch(train) [48][940/3757] lr: 1.0000e-03 eta: 1 day, 12:41:54 time: 0.6170 data_time: 0.0225 memory: 17350 grad_norm: 5.8960 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2842 loss: 1.2842 2022/07/23 12:01:29 - mmengine - INFO - Epoch(train) [48][960/3757] lr: 1.0000e-03 eta: 1 day, 12:41:41 time: 0.6803 data_time: 0.0219 memory: 17350 grad_norm: 5.9249 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2537 loss: 1.2537 2022/07/23 12:01:41 - mmengine - INFO - Epoch(train) [48][980/3757] lr: 1.0000e-03 eta: 1 day, 12:41:26 time: 0.6243 data_time: 0.0265 memory: 17350 grad_norm: 6.0391 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0294 loss: 1.0294 2022/07/23 12:01:54 - mmengine - INFO - Epoch(train) [48][1000/3757] lr: 1.0000e-03 eta: 1 day, 12:41:13 time: 0.6665 data_time: 0.0291 memory: 17350 grad_norm: 6.0496 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.5541 loss: 1.5541 2022/07/23 12:02:07 - mmengine - INFO - Epoch(train) [48][1020/3757] lr: 1.0000e-03 eta: 1 day, 12:40:59 time: 0.6242 data_time: 0.0484 memory: 17350 grad_norm: 5.8787 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1344 loss: 1.1344 2022/07/23 12:02:21 - mmengine - INFO - Epoch(train) [48][1040/3757] lr: 1.0000e-03 eta: 1 day, 12:40:46 time: 0.6880 data_time: 0.0212 memory: 17350 grad_norm: 6.2635 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3095 loss: 1.3095 2022/07/23 12:02:33 - mmengine - INFO - Epoch(train) [48][1060/3757] lr: 1.0000e-03 eta: 1 day, 12:40:32 time: 0.6382 data_time: 0.0216 memory: 17350 grad_norm: 6.0528 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1235 loss: 1.1235 2022/07/23 12:02:48 - mmengine - INFO - Epoch(train) [48][1080/3757] lr: 1.0000e-03 eta: 1 day, 12:40:20 time: 0.7368 data_time: 0.0222 memory: 17350 grad_norm: 6.2231 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5181 loss: 1.5181 2022/07/23 12:03:01 - mmengine - INFO - Epoch(train) [48][1100/3757] lr: 1.0000e-03 eta: 1 day, 12:40:06 time: 0.6306 data_time: 0.0240 memory: 17350 grad_norm: 6.1868 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3891 loss: 1.3891 2022/07/23 12:03:15 - mmengine - INFO - Epoch(train) [48][1120/3757] lr: 1.0000e-03 eta: 1 day, 12:39:54 time: 0.7268 data_time: 0.0230 memory: 17350 grad_norm: 6.3989 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5543 loss: 1.5543 2022/07/23 12:03:28 - mmengine - INFO - Epoch(train) [48][1140/3757] lr: 1.0000e-03 eta: 1 day, 12:39:40 time: 0.6329 data_time: 0.0223 memory: 17350 grad_norm: 6.0774 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3305 loss: 1.3305 2022/07/23 12:03:41 - mmengine - INFO - Epoch(train) [48][1160/3757] lr: 1.0000e-03 eta: 1 day, 12:39:26 time: 0.6565 data_time: 0.0247 memory: 17350 grad_norm: 6.1362 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3375 loss: 1.3375 2022/07/23 12:03:54 - mmengine - INFO - Epoch(train) [48][1180/3757] lr: 1.0000e-03 eta: 1 day, 12:39:13 time: 0.6650 data_time: 0.0218 memory: 17350 grad_norm: 6.1643 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2621 loss: 1.2621 2022/07/23 12:04:08 - mmengine - INFO - Epoch(train) [48][1200/3757] lr: 1.0000e-03 eta: 1 day, 12:39:00 time: 0.6738 data_time: 0.0231 memory: 17350 grad_norm: 6.1701 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3534 loss: 1.3534 2022/07/23 12:04:21 - mmengine - INFO - Epoch(train) [48][1220/3757] lr: 1.0000e-03 eta: 1 day, 12:38:46 time: 0.6571 data_time: 0.0224 memory: 17350 grad_norm: 6.1299 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2097 loss: 1.2097 2022/07/23 12:04:34 - mmengine - INFO - Epoch(train) [48][1240/3757] lr: 1.0000e-03 eta: 1 day, 12:38:33 time: 0.6614 data_time: 0.0223 memory: 17350 grad_norm: 6.3501 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2855 loss: 1.2855 2022/07/23 12:04:48 - mmengine - INFO - Epoch(train) [48][1260/3757] lr: 1.0000e-03 eta: 1 day, 12:38:20 time: 0.6997 data_time: 0.0222 memory: 17350 grad_norm: 6.3064 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3530 loss: 1.3530 2022/07/23 12:05:01 - mmengine - INFO - Epoch(train) [48][1280/3757] lr: 1.0000e-03 eta: 1 day, 12:38:07 time: 0.6504 data_time: 0.0237 memory: 17350 grad_norm: 5.9319 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2504 loss: 1.2504 2022/07/23 12:05:14 - mmengine - INFO - Epoch(train) [48][1300/3757] lr: 1.0000e-03 eta: 1 day, 12:37:53 time: 0.6401 data_time: 0.0601 memory: 17350 grad_norm: 6.3614 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2422 loss: 1.2422 2022/07/23 12:05:28 - mmengine - INFO - Epoch(train) [48][1320/3757] lr: 1.0000e-03 eta: 1 day, 12:37:40 time: 0.6863 data_time: 0.2826 memory: 17350 grad_norm: 5.9065 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3808 loss: 1.3808 2022/07/23 12:05:42 - mmengine - INFO - Epoch(train) [48][1340/3757] lr: 1.0000e-03 eta: 1 day, 12:37:27 time: 0.6802 data_time: 0.1315 memory: 17350 grad_norm: 6.1099 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2960 loss: 1.2960 2022/07/23 12:05:55 - mmengine - INFO - Epoch(train) [48][1360/3757] lr: 1.0000e-03 eta: 1 day, 12:37:14 time: 0.6768 data_time: 0.1401 memory: 17350 grad_norm: 6.1363 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5400 loss: 1.5400 2022/07/23 12:06:08 - mmengine - INFO - Epoch(train) [48][1380/3757] lr: 1.0000e-03 eta: 1 day, 12:37:00 time: 0.6553 data_time: 0.1655 memory: 17350 grad_norm: 5.9861 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6433 loss: 1.6433 2022/07/23 12:06:22 - mmengine - INFO - Epoch(train) [48][1400/3757] lr: 1.0000e-03 eta: 1 day, 12:36:47 time: 0.6869 data_time: 0.1972 memory: 17350 grad_norm: 5.9170 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2717 loss: 1.2717 2022/07/23 12:06:34 - mmengine - INFO - Epoch(train) [48][1420/3757] lr: 1.0000e-03 eta: 1 day, 12:36:33 time: 0.6230 data_time: 0.1158 memory: 17350 grad_norm: 6.3321 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3938 loss: 1.3938 2022/07/23 12:06:35 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 12:06:48 - mmengine - INFO - Epoch(train) [48][1440/3757] lr: 1.0000e-03 eta: 1 day, 12:36:20 time: 0.6891 data_time: 0.2732 memory: 17350 grad_norm: 6.2954 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2580 loss: 1.2580 2022/07/23 12:07:00 - mmengine - INFO - Epoch(train) [48][1460/3757] lr: 1.0000e-03 eta: 1 day, 12:36:05 time: 0.6089 data_time: 0.1825 memory: 17350 grad_norm: 6.0545 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2856 loss: 1.2856 2022/07/23 12:07:15 - mmengine - INFO - Epoch(train) [48][1480/3757] lr: 1.0000e-03 eta: 1 day, 12:35:53 time: 0.7135 data_time: 0.3081 memory: 17350 grad_norm: 6.1367 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5028 loss: 1.5028 2022/07/23 12:07:28 - mmengine - INFO - Epoch(train) [48][1500/3757] lr: 1.0000e-03 eta: 1 day, 12:35:40 time: 0.6712 data_time: 0.3493 memory: 17350 grad_norm: 6.0666 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3191 loss: 1.3191 2022/07/23 12:07:42 - mmengine - INFO - Epoch(train) [48][1520/3757] lr: 1.0000e-03 eta: 1 day, 12:35:27 time: 0.6840 data_time: 0.3570 memory: 17350 grad_norm: 6.1304 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2127 loss: 1.2127 2022/07/23 12:07:53 - mmengine - INFO - Epoch(train) [48][1540/3757] lr: 1.0000e-03 eta: 1 day, 12:35:12 time: 0.5748 data_time: 0.2457 memory: 17350 grad_norm: 6.3076 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5114 loss: 1.5114 2022/07/23 12:08:08 - mmengine - INFO - Epoch(train) [48][1560/3757] lr: 1.0000e-03 eta: 1 day, 12:34:59 time: 0.7109 data_time: 0.3905 memory: 17350 grad_norm: 6.2279 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5146 loss: 1.5146 2022/07/23 12:08:20 - mmengine - INFO - Epoch(train) [48][1580/3757] lr: 1.0000e-03 eta: 1 day, 12:34:45 time: 0.6443 data_time: 0.3240 memory: 17350 grad_norm: 5.9477 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1300 loss: 1.1300 2022/07/23 12:08:35 - mmengine - INFO - Epoch(train) [48][1600/3757] lr: 1.0000e-03 eta: 1 day, 12:34:33 time: 0.7043 data_time: 0.3799 memory: 17350 grad_norm: 5.8747 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3657 loss: 1.3657 2022/07/23 12:08:47 - mmengine - INFO - Epoch(train) [48][1620/3757] lr: 1.0000e-03 eta: 1 day, 12:34:18 time: 0.6125 data_time: 0.2643 memory: 17350 grad_norm: 6.1641 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4051 loss: 1.4051 2022/07/23 12:09:01 - mmengine - INFO - Epoch(train) [48][1640/3757] lr: 1.0000e-03 eta: 1 day, 12:34:06 time: 0.7347 data_time: 0.2239 memory: 17350 grad_norm: 5.9907 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4248 loss: 1.4248 2022/07/23 12:09:13 - mmengine - INFO - Epoch(train) [48][1660/3757] lr: 1.0000e-03 eta: 1 day, 12:33:52 time: 0.5966 data_time: 0.1628 memory: 17350 grad_norm: 5.9651 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1882 loss: 1.1882 2022/07/23 12:09:28 - mmengine - INFO - Epoch(train) [48][1680/3757] lr: 1.0000e-03 eta: 1 day, 12:33:39 time: 0.7215 data_time: 0.2296 memory: 17350 grad_norm: 6.2468 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1410 loss: 1.1410 2022/07/23 12:09:40 - mmengine - INFO - Epoch(train) [48][1700/3757] lr: 1.0000e-03 eta: 1 day, 12:33:25 time: 0.6233 data_time: 0.2337 memory: 17350 grad_norm: 6.0407 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5448 loss: 1.5448 2022/07/23 12:09:55 - mmengine - INFO - Epoch(train) [48][1720/3757] lr: 1.0000e-03 eta: 1 day, 12:33:13 time: 0.7267 data_time: 0.2644 memory: 17350 grad_norm: 6.2237 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4325 loss: 1.4325 2022/07/23 12:10:08 - mmengine - INFO - Epoch(train) [48][1740/3757] lr: 1.0000e-03 eta: 1 day, 12:32:59 time: 0.6481 data_time: 0.2976 memory: 17350 grad_norm: 6.2702 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2302 loss: 1.2302 2022/07/23 12:10:23 - mmengine - INFO - Epoch(train) [48][1760/3757] lr: 1.0000e-03 eta: 1 day, 12:32:48 time: 0.7723 data_time: 0.4410 memory: 17350 grad_norm: 5.9498 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4194 loss: 1.4194 2022/07/23 12:10:35 - mmengine - INFO - Epoch(train) [48][1780/3757] lr: 1.0000e-03 eta: 1 day, 12:32:33 time: 0.5733 data_time: 0.2426 memory: 17350 grad_norm: 5.8682 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3622 loss: 1.3622 2022/07/23 12:10:49 - mmengine - INFO - Epoch(train) [48][1800/3757] lr: 1.0000e-03 eta: 1 day, 12:32:21 time: 0.7164 data_time: 0.3856 memory: 17350 grad_norm: 5.7850 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3906 loss: 1.3906 2022/07/23 12:11:01 - mmengine - INFO - Epoch(train) [48][1820/3757] lr: 1.0000e-03 eta: 1 day, 12:32:06 time: 0.6163 data_time: 0.2834 memory: 17350 grad_norm: 6.1067 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2480 loss: 1.2480 2022/07/23 12:11:16 - mmengine - INFO - Epoch(train) [48][1840/3757] lr: 1.0000e-03 eta: 1 day, 12:31:55 time: 0.7427 data_time: 0.4152 memory: 17350 grad_norm: 6.1126 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2134 loss: 1.2134 2022/07/23 12:11:29 - mmengine - INFO - Epoch(train) [48][1860/3757] lr: 1.0000e-03 eta: 1 day, 12:31:40 time: 0.6136 data_time: 0.2791 memory: 17350 grad_norm: 6.2282 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2410 loss: 1.2410 2022/07/23 12:11:43 - mmengine - INFO - Epoch(train) [48][1880/3757] lr: 1.0000e-03 eta: 1 day, 12:31:28 time: 0.7279 data_time: 0.3941 memory: 17350 grad_norm: 6.2327 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2511 loss: 1.2511 2022/07/23 12:11:55 - mmengine - INFO - Epoch(train) [48][1900/3757] lr: 1.0000e-03 eta: 1 day, 12:31:13 time: 0.5759 data_time: 0.2422 memory: 17350 grad_norm: 6.2363 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2634 loss: 1.2634 2022/07/23 12:12:10 - mmengine - INFO - Epoch(train) [48][1920/3757] lr: 1.0000e-03 eta: 1 day, 12:31:02 time: 0.7553 data_time: 0.4262 memory: 17350 grad_norm: 6.1422 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1926 loss: 1.1926 2022/07/23 12:12:22 - mmengine - INFO - Epoch(train) [48][1940/3757] lr: 1.0000e-03 eta: 1 day, 12:30:47 time: 0.6005 data_time: 0.2675 memory: 17350 grad_norm: 6.1857 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2917 loss: 1.2917 2022/07/23 12:12:36 - mmengine - INFO - Epoch(train) [48][1960/3757] lr: 1.0000e-03 eta: 1 day, 12:30:35 time: 0.7224 data_time: 0.3909 memory: 17350 grad_norm: 6.0282 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3852 loss: 1.3852 2022/07/23 12:12:49 - mmengine - INFO - Epoch(train) [48][1980/3757] lr: 1.0000e-03 eta: 1 day, 12:30:20 time: 0.6227 data_time: 0.2872 memory: 17350 grad_norm: 5.8905 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1064 loss: 1.1064 2022/07/23 12:13:04 - mmengine - INFO - Epoch(train) [48][2000/3757] lr: 1.0000e-03 eta: 1 day, 12:30:09 time: 0.7684 data_time: 0.4210 memory: 17350 grad_norm: 6.1049 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2344 loss: 1.2344 2022/07/23 12:13:15 - mmengine - INFO - Epoch(train) [48][2020/3757] lr: 1.0000e-03 eta: 1 day, 12:29:53 time: 0.5516 data_time: 0.2194 memory: 17350 grad_norm: 6.3276 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2904 loss: 1.2904 2022/07/23 12:13:29 - mmengine - INFO - Epoch(train) [48][2040/3757] lr: 1.0000e-03 eta: 1 day, 12:29:40 time: 0.6877 data_time: 0.3524 memory: 17350 grad_norm: 6.0987 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4055 loss: 1.4055 2022/07/23 12:13:40 - mmengine - INFO - Epoch(train) [48][2060/3757] lr: 1.0000e-03 eta: 1 day, 12:29:25 time: 0.5691 data_time: 0.2371 memory: 17350 grad_norm: 6.3941 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3071 loss: 1.3071 2022/07/23 12:13:56 - mmengine - INFO - Epoch(train) [48][2080/3757] lr: 1.0000e-03 eta: 1 day, 12:29:14 time: 0.7547 data_time: 0.4161 memory: 17350 grad_norm: 6.3055 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2244 loss: 1.2244 2022/07/23 12:14:07 - mmengine - INFO - Epoch(train) [48][2100/3757] lr: 1.0000e-03 eta: 1 day, 12:28:58 time: 0.5578 data_time: 0.2143 memory: 17350 grad_norm: 6.2854 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.4570 loss: 1.4570 2022/07/23 12:14:22 - mmengine - INFO - Epoch(train) [48][2120/3757] lr: 1.0000e-03 eta: 1 day, 12:28:47 time: 0.7628 data_time: 0.4096 memory: 17350 grad_norm: 6.2800 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4105 loss: 1.4105 2022/07/23 12:14:34 - mmengine - INFO - Epoch(train) [48][2140/3757] lr: 1.0000e-03 eta: 1 day, 12:28:32 time: 0.6116 data_time: 0.2772 memory: 17350 grad_norm: 5.9002 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2127 loss: 1.2127 2022/07/23 12:14:48 - mmengine - INFO - Epoch(train) [48][2160/3757] lr: 1.0000e-03 eta: 1 day, 12:28:20 time: 0.7114 data_time: 0.3551 memory: 17350 grad_norm: 6.4188 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2717 loss: 1.2717 2022/07/23 12:15:01 - mmengine - INFO - Epoch(train) [48][2180/3757] lr: 1.0000e-03 eta: 1 day, 12:28:05 time: 0.6193 data_time: 0.2746 memory: 17350 grad_norm: 6.3423 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2647 loss: 1.2647 2022/07/23 12:15:15 - mmengine - INFO - Epoch(train) [48][2200/3757] lr: 1.0000e-03 eta: 1 day, 12:27:53 time: 0.7272 data_time: 0.3246 memory: 17350 grad_norm: 6.0153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4531 loss: 1.4531 2022/07/23 12:15:28 - mmengine - INFO - Epoch(train) [48][2220/3757] lr: 1.0000e-03 eta: 1 day, 12:27:40 time: 0.6417 data_time: 0.2085 memory: 17350 grad_norm: 6.3310 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3727 loss: 1.3727 2022/07/23 12:15:42 - mmengine - INFO - Epoch(train) [48][2240/3757] lr: 1.0000e-03 eta: 1 day, 12:27:27 time: 0.6869 data_time: 0.1975 memory: 17350 grad_norm: 6.2756 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2803 loss: 1.2803 2022/07/23 12:15:56 - mmengine - INFO - Epoch(train) [48][2260/3757] lr: 1.0000e-03 eta: 1 day, 12:27:14 time: 0.6800 data_time: 0.1835 memory: 17350 grad_norm: 5.9387 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3426 loss: 1.3426 2022/07/23 12:16:08 - mmengine - INFO - Epoch(train) [48][2280/3757] lr: 1.0000e-03 eta: 1 day, 12:27:00 time: 0.6474 data_time: 0.1759 memory: 17350 grad_norm: 6.1511 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1602 loss: 1.1602 2022/07/23 12:16:21 - mmengine - INFO - Epoch(train) [48][2300/3757] lr: 1.0000e-03 eta: 1 day, 12:26:46 time: 0.6343 data_time: 0.1781 memory: 17350 grad_norm: 6.1323 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2938 loss: 1.2938 2022/07/23 12:16:36 - mmengine - INFO - Epoch(train) [48][2320/3757] lr: 1.0000e-03 eta: 1 day, 12:26:34 time: 0.7204 data_time: 0.1084 memory: 17350 grad_norm: 6.3759 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2907 loss: 1.2907 2022/07/23 12:16:50 - mmengine - INFO - Epoch(train) [48][2340/3757] lr: 1.0000e-03 eta: 1 day, 12:26:21 time: 0.7029 data_time: 0.0543 memory: 17350 grad_norm: 6.3166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3591 loss: 1.3591 2022/07/23 12:17:02 - mmengine - INFO - Epoch(train) [48][2360/3757] lr: 1.0000e-03 eta: 1 day, 12:26:07 time: 0.6087 data_time: 0.0215 memory: 17350 grad_norm: 6.0507 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2578 loss: 1.2578 2022/07/23 12:17:16 - mmengine - INFO - Epoch(train) [48][2380/3757] lr: 1.0000e-03 eta: 1 day, 12:25:54 time: 0.7059 data_time: 0.0246 memory: 17350 grad_norm: 6.2626 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3906 loss: 1.3906 2022/07/23 12:17:29 - mmengine - INFO - Epoch(train) [48][2400/3757] lr: 1.0000e-03 eta: 1 day, 12:25:40 time: 0.6342 data_time: 0.0216 memory: 17350 grad_norm: 6.2128 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3807 loss: 1.3807 2022/07/23 12:17:42 - mmengine - INFO - Epoch(train) [48][2420/3757] lr: 1.0000e-03 eta: 1 day, 12:25:27 time: 0.6800 data_time: 0.0230 memory: 17350 grad_norm: 6.3664 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4283 loss: 1.4283 2022/07/23 12:17:43 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 12:17:55 - mmengine - INFO - Epoch(train) [48][2440/3757] lr: 1.0000e-03 eta: 1 day, 12:25:13 time: 0.6542 data_time: 0.0264 memory: 17350 grad_norm: 5.9857 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1892 loss: 1.1892 2022/07/23 12:18:09 - mmengine - INFO - Epoch(train) [48][2460/3757] lr: 1.0000e-03 eta: 1 day, 12:25:00 time: 0.6764 data_time: 0.0222 memory: 17350 grad_norm: 6.1488 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4672 loss: 1.4672 2022/07/23 12:18:22 - mmengine - INFO - Epoch(train) [48][2480/3757] lr: 1.0000e-03 eta: 1 day, 12:24:46 time: 0.6360 data_time: 0.0238 memory: 17350 grad_norm: 6.0259 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1537 loss: 1.1537 2022/07/23 12:18:36 - mmengine - INFO - Epoch(train) [48][2500/3757] lr: 1.0000e-03 eta: 1 day, 12:24:34 time: 0.7283 data_time: 0.0231 memory: 17350 grad_norm: 6.1005 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2303 loss: 1.2303 2022/07/23 12:18:49 - mmengine - INFO - Epoch(train) [48][2520/3757] lr: 1.0000e-03 eta: 1 day, 12:24:20 time: 0.6347 data_time: 0.0215 memory: 17350 grad_norm: 5.9542 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3464 loss: 1.3464 2022/07/23 12:19:03 - mmengine - INFO - Epoch(train) [48][2540/3757] lr: 1.0000e-03 eta: 1 day, 12:24:07 time: 0.6893 data_time: 0.0223 memory: 17350 grad_norm: 6.1378 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2712 loss: 1.2712 2022/07/23 12:19:16 - mmengine - INFO - Epoch(train) [48][2560/3757] lr: 1.0000e-03 eta: 1 day, 12:23:54 time: 0.6622 data_time: 0.0255 memory: 17350 grad_norm: 6.2103 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6514 loss: 1.6514 2022/07/23 12:19:28 - mmengine - INFO - Epoch(train) [48][2580/3757] lr: 1.0000e-03 eta: 1 day, 12:23:39 time: 0.6095 data_time: 0.0211 memory: 17350 grad_norm: 6.3245 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3152 loss: 1.3152 2022/07/23 12:19:43 - mmengine - INFO - Epoch(train) [48][2600/3757] lr: 1.0000e-03 eta: 1 day, 12:23:28 time: 0.7494 data_time: 0.0224 memory: 17350 grad_norm: 6.2838 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2944 loss: 1.2944 2022/07/23 12:19:56 - mmengine - INFO - Epoch(train) [48][2620/3757] lr: 1.0000e-03 eta: 1 day, 12:23:14 time: 0.6216 data_time: 0.0228 memory: 17350 grad_norm: 6.0899 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0420 loss: 1.0420 2022/07/23 12:20:11 - mmengine - INFO - Epoch(train) [48][2640/3757] lr: 1.0000e-03 eta: 1 day, 12:23:02 time: 0.7430 data_time: 0.0232 memory: 17350 grad_norm: 6.2773 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3441 loss: 1.3441 2022/07/23 12:20:23 - mmengine - INFO - Epoch(train) [48][2660/3757] lr: 1.0000e-03 eta: 1 day, 12:22:47 time: 0.6060 data_time: 0.0250 memory: 17350 grad_norm: 6.2492 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0832 loss: 1.0832 2022/07/23 12:20:37 - mmengine - INFO - Epoch(train) [48][2680/3757] lr: 1.0000e-03 eta: 1 day, 12:22:35 time: 0.7283 data_time: 0.0235 memory: 17350 grad_norm: 6.3597 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1408 loss: 1.1408 2022/07/23 12:20:49 - mmengine - INFO - Epoch(train) [48][2700/3757] lr: 1.0000e-03 eta: 1 day, 12:22:20 time: 0.5952 data_time: 0.0218 memory: 17350 grad_norm: 6.5051 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2030 loss: 1.2030 2022/07/23 12:21:04 - mmengine - INFO - Epoch(train) [48][2720/3757] lr: 1.0000e-03 eta: 1 day, 12:22:09 time: 0.7587 data_time: 0.0213 memory: 17350 grad_norm: 6.0914 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2673 loss: 1.2673 2022/07/23 12:21:17 - mmengine - INFO - Epoch(train) [48][2740/3757] lr: 1.0000e-03 eta: 1 day, 12:21:55 time: 0.6270 data_time: 0.0248 memory: 17350 grad_norm: 6.0343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0106 loss: 1.0106 2022/07/23 12:21:32 - mmengine - INFO - Epoch(train) [48][2760/3757] lr: 1.0000e-03 eta: 1 day, 12:21:43 time: 0.7478 data_time: 0.0227 memory: 17350 grad_norm: 6.1243 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4403 loss: 1.4403 2022/07/23 12:21:44 - mmengine - INFO - Epoch(train) [48][2780/3757] lr: 1.0000e-03 eta: 1 day, 12:21:28 time: 0.5876 data_time: 0.0227 memory: 17350 grad_norm: 6.2052 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3437 loss: 1.3437 2022/07/23 12:21:58 - mmengine - INFO - Epoch(train) [48][2800/3757] lr: 1.0000e-03 eta: 1 day, 12:21:16 time: 0.7263 data_time: 0.0216 memory: 17350 grad_norm: 6.0183 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4192 loss: 1.4192 2022/07/23 12:22:11 - mmengine - INFO - Epoch(train) [48][2820/3757] lr: 1.0000e-03 eta: 1 day, 12:21:02 time: 0.6205 data_time: 0.0223 memory: 17350 grad_norm: 5.8620 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5750 loss: 1.5750 2022/07/23 12:22:25 - mmengine - INFO - Epoch(train) [48][2840/3757] lr: 1.0000e-03 eta: 1 day, 12:20:49 time: 0.6967 data_time: 0.0228 memory: 17350 grad_norm: 6.2382 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4541 loss: 1.4541 2022/07/23 12:22:36 - mmengine - INFO - Epoch(train) [48][2860/3757] lr: 1.0000e-03 eta: 1 day, 12:20:34 time: 0.5913 data_time: 0.0240 memory: 17350 grad_norm: 6.2204 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2695 loss: 1.2695 2022/07/23 12:22:50 - mmengine - INFO - Epoch(train) [48][2880/3757] lr: 1.0000e-03 eta: 1 day, 12:20:21 time: 0.6835 data_time: 0.0219 memory: 17350 grad_norm: 6.3549 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6575 loss: 1.6575 2022/07/23 12:23:02 - mmengine - INFO - Epoch(train) [48][2900/3757] lr: 1.0000e-03 eta: 1 day, 12:20:07 time: 0.6168 data_time: 0.0220 memory: 17350 grad_norm: 6.1763 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3093 loss: 1.3093 2022/07/23 12:23:17 - mmengine - INFO - Epoch(train) [48][2920/3757] lr: 1.0000e-03 eta: 1 day, 12:19:55 time: 0.7242 data_time: 0.0237 memory: 17350 grad_norm: 6.2908 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4168 loss: 1.4168 2022/07/23 12:23:29 - mmengine - INFO - Epoch(train) [48][2940/3757] lr: 1.0000e-03 eta: 1 day, 12:19:40 time: 0.5852 data_time: 0.0202 memory: 17350 grad_norm: 6.3359 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5622 loss: 1.5622 2022/07/23 12:23:43 - mmengine - INFO - Epoch(train) [48][2960/3757] lr: 1.0000e-03 eta: 1 day, 12:19:27 time: 0.7106 data_time: 0.0230 memory: 17350 grad_norm: 6.2700 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2791 loss: 1.2791 2022/07/23 12:23:55 - mmengine - INFO - Epoch(train) [48][2980/3757] lr: 1.0000e-03 eta: 1 day, 12:19:13 time: 0.6195 data_time: 0.0243 memory: 17350 grad_norm: 6.0359 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9450 loss: 0.9450 2022/07/23 12:24:09 - mmengine - INFO - Epoch(train) [48][3000/3757] lr: 1.0000e-03 eta: 1 day, 12:19:00 time: 0.6776 data_time: 0.0213 memory: 17350 grad_norm: 6.3708 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4052 loss: 1.4052 2022/07/23 12:24:22 - mmengine - INFO - Epoch(train) [48][3020/3757] lr: 1.0000e-03 eta: 1 day, 12:18:46 time: 0.6533 data_time: 0.0261 memory: 17350 grad_norm: 6.3230 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2990 loss: 1.2990 2022/07/23 12:24:35 - mmengine - INFO - Epoch(train) [48][3040/3757] lr: 1.0000e-03 eta: 1 day, 12:18:32 time: 0.6488 data_time: 0.0245 memory: 17350 grad_norm: 6.3241 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3857 loss: 1.3857 2022/07/23 12:24:49 - mmengine - INFO - Epoch(train) [48][3060/3757] lr: 1.0000e-03 eta: 1 day, 12:18:20 time: 0.7086 data_time: 0.0226 memory: 17350 grad_norm: 6.3016 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1437 loss: 1.1437 2022/07/23 12:25:02 - mmengine - INFO - Epoch(train) [48][3080/3757] lr: 1.0000e-03 eta: 1 day, 12:18:06 time: 0.6384 data_time: 0.0236 memory: 17350 grad_norm: 6.3310 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2354 loss: 1.2354 2022/07/23 12:25:16 - mmengine - INFO - Epoch(train) [48][3100/3757] lr: 1.0000e-03 eta: 1 day, 12:17:53 time: 0.6949 data_time: 0.0413 memory: 17350 grad_norm: 6.1755 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2134 loss: 1.2134 2022/07/23 12:25:28 - mmengine - INFO - Epoch(train) [48][3120/3757] lr: 1.0000e-03 eta: 1 day, 12:17:39 time: 0.6387 data_time: 0.0490 memory: 17350 grad_norm: 6.2537 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3999 loss: 1.3999 2022/07/23 12:25:43 - mmengine - INFO - Epoch(train) [48][3140/3757] lr: 1.0000e-03 eta: 1 day, 12:17:27 time: 0.7270 data_time: 0.0904 memory: 17350 grad_norm: 6.0835 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4369 loss: 1.4369 2022/07/23 12:25:56 - mmengine - INFO - Epoch(train) [48][3160/3757] lr: 1.0000e-03 eta: 1 day, 12:17:13 time: 0.6266 data_time: 0.1135 memory: 17350 grad_norm: 6.0873 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1063 loss: 1.1063 2022/07/23 12:26:10 - mmengine - INFO - Epoch(train) [48][3180/3757] lr: 1.0000e-03 eta: 1 day, 12:17:01 time: 0.7068 data_time: 0.2507 memory: 17350 grad_norm: 6.1277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1410 loss: 1.1410 2022/07/23 12:26:23 - mmengine - INFO - Epoch(train) [48][3200/3757] lr: 1.0000e-03 eta: 1 day, 12:16:47 time: 0.6429 data_time: 0.2686 memory: 17350 grad_norm: 6.0889 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2062 loss: 1.2062 2022/07/23 12:26:36 - mmengine - INFO - Epoch(train) [48][3220/3757] lr: 1.0000e-03 eta: 1 day, 12:16:34 time: 0.6791 data_time: 0.2523 memory: 17350 grad_norm: 6.1578 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3704 loss: 1.3704 2022/07/23 12:26:49 - mmengine - INFO - Epoch(train) [48][3240/3757] lr: 1.0000e-03 eta: 1 day, 12:16:20 time: 0.6418 data_time: 0.1469 memory: 17350 grad_norm: 6.3876 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4295 loss: 1.4295 2022/07/23 12:27:04 - mmengine - INFO - Epoch(train) [48][3260/3757] lr: 1.0000e-03 eta: 1 day, 12:16:08 time: 0.7317 data_time: 0.3328 memory: 17350 grad_norm: 5.8166 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2522 loss: 1.2522 2022/07/23 12:27:16 - mmengine - INFO - Epoch(train) [48][3280/3757] lr: 1.0000e-03 eta: 1 day, 12:15:53 time: 0.6088 data_time: 0.1982 memory: 17350 grad_norm: 6.1088 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2126 loss: 1.2126 2022/07/23 12:27:29 - mmengine - INFO - Epoch(train) [48][3300/3757] lr: 1.0000e-03 eta: 1 day, 12:15:40 time: 0.6771 data_time: 0.2623 memory: 17350 grad_norm: 6.1380 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3091 loss: 1.3091 2022/07/23 12:27:43 - mmengine - INFO - Epoch(train) [48][3320/3757] lr: 1.0000e-03 eta: 1 day, 12:15:27 time: 0.6663 data_time: 0.2047 memory: 17350 grad_norm: 6.2721 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1690 loss: 1.1690 2022/07/23 12:27:56 - mmengine - INFO - Epoch(train) [48][3340/3757] lr: 1.0000e-03 eta: 1 day, 12:15:14 time: 0.6784 data_time: 0.2518 memory: 17350 grad_norm: 6.1798 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3687 loss: 1.3687 2022/07/23 12:28:09 - mmengine - INFO - Epoch(train) [48][3360/3757] lr: 1.0000e-03 eta: 1 day, 12:15:00 time: 0.6272 data_time: 0.2138 memory: 17350 grad_norm: 6.2399 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0826 loss: 1.0826 2022/07/23 12:28:25 - mmengine - INFO - Epoch(train) [48][3380/3757] lr: 1.0000e-03 eta: 1 day, 12:14:49 time: 0.7861 data_time: 0.3335 memory: 17350 grad_norm: 6.4482 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3857 loss: 1.3857 2022/07/23 12:28:36 - mmengine - INFO - Epoch(train) [48][3400/3757] lr: 1.0000e-03 eta: 1 day, 12:14:34 time: 0.5903 data_time: 0.1229 memory: 17350 grad_norm: 6.4618 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2319 loss: 1.2319 2022/07/23 12:28:51 - mmengine - INFO - Epoch(train) [48][3420/3757] lr: 1.0000e-03 eta: 1 day, 12:14:22 time: 0.7131 data_time: 0.2354 memory: 17350 grad_norm: 6.4715 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5956 loss: 1.5956 2022/07/23 12:28:51 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 12:29:03 - mmengine - INFO - Epoch(train) [48][3440/3757] lr: 1.0000e-03 eta: 1 day, 12:14:08 time: 0.6336 data_time: 0.1205 memory: 17350 grad_norm: 6.2114 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3626 loss: 1.3626 2022/07/23 12:29:18 - mmengine - INFO - Epoch(train) [48][3460/3757] lr: 1.0000e-03 eta: 1 day, 12:13:55 time: 0.7179 data_time: 0.0860 memory: 17350 grad_norm: 6.1867 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3397 loss: 1.3397 2022/07/23 12:29:30 - mmengine - INFO - Epoch(train) [48][3480/3757] lr: 1.0000e-03 eta: 1 day, 12:13:41 time: 0.5950 data_time: 0.0912 memory: 17350 grad_norm: 6.3048 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3772 loss: 1.3772 2022/07/23 12:29:44 - mmengine - INFO - Epoch(train) [48][3500/3757] lr: 1.0000e-03 eta: 1 day, 12:13:29 time: 0.7391 data_time: 0.1109 memory: 17350 grad_norm: 6.0976 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0646 loss: 1.0646 2022/07/23 12:29:57 - mmengine - INFO - Epoch(train) [48][3520/3757] lr: 1.0000e-03 eta: 1 day, 12:13:14 time: 0.6024 data_time: 0.0248 memory: 17350 grad_norm: 6.2136 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2598 loss: 1.2598 2022/07/23 12:30:11 - mmengine - INFO - Epoch(train) [48][3540/3757] lr: 1.0000e-03 eta: 1 day, 12:13:02 time: 0.7298 data_time: 0.0220 memory: 17350 grad_norm: 6.2349 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4067 loss: 1.4067 2022/07/23 12:30:23 - mmengine - INFO - Epoch(train) [48][3560/3757] lr: 1.0000e-03 eta: 1 day, 12:12:47 time: 0.6093 data_time: 0.0229 memory: 17350 grad_norm: 6.3191 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2832 loss: 1.2832 2022/07/23 12:30:38 - mmengine - INFO - Epoch(train) [48][3580/3757] lr: 1.0000e-03 eta: 1 day, 12:12:36 time: 0.7332 data_time: 0.0228 memory: 17350 grad_norm: 6.0807 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8921 loss: 0.8921 2022/07/23 12:30:50 - mmengine - INFO - Epoch(train) [48][3600/3757] lr: 1.0000e-03 eta: 1 day, 12:12:21 time: 0.6045 data_time: 0.0226 memory: 17350 grad_norm: 6.2578 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2274 loss: 1.2274 2022/07/23 12:31:04 - mmengine - INFO - Epoch(train) [48][3620/3757] lr: 1.0000e-03 eta: 1 day, 12:12:08 time: 0.6789 data_time: 0.0230 memory: 17350 grad_norm: 6.3801 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2681 loss: 1.2681 2022/07/23 12:31:15 - mmengine - INFO - Epoch(train) [48][3640/3757] lr: 1.0000e-03 eta: 1 day, 12:11:53 time: 0.5758 data_time: 0.0427 memory: 17350 grad_norm: 6.4325 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2692 loss: 1.2692 2022/07/23 12:31:30 - mmengine - INFO - Epoch(train) [48][3660/3757] lr: 1.0000e-03 eta: 1 day, 12:11:40 time: 0.7238 data_time: 0.0351 memory: 17350 grad_norm: 6.1195 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2748 loss: 1.2748 2022/07/23 12:31:43 - mmengine - INFO - Epoch(train) [48][3680/3757] lr: 1.0000e-03 eta: 1 day, 12:11:27 time: 0.6465 data_time: 0.0228 memory: 17350 grad_norm: 6.2295 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3313 loss: 1.3313 2022/07/23 12:31:57 - mmengine - INFO - Epoch(train) [48][3700/3757] lr: 1.0000e-03 eta: 1 day, 12:11:14 time: 0.7147 data_time: 0.0224 memory: 17350 grad_norm: 6.0166 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4276 loss: 1.4276 2022/07/23 12:32:08 - mmengine - INFO - Epoch(train) [48][3720/3757] lr: 1.0000e-03 eta: 1 day, 12:10:59 time: 0.5732 data_time: 0.0368 memory: 17350 grad_norm: 6.1865 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2943 loss: 1.2943 2022/07/23 12:32:23 - mmengine - INFO - Epoch(train) [48][3740/3757] lr: 1.0000e-03 eta: 1 day, 12:10:47 time: 0.7345 data_time: 0.0416 memory: 17350 grad_norm: 6.3429 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2441 loss: 1.2441 2022/07/23 12:32:31 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 12:32:31 - mmengine - INFO - Epoch(train) [48][3757/3757] lr: 1.0000e-03 eta: 1 day, 12:10:47 time: 0.4449 data_time: 0.0369 memory: 17350 grad_norm: 6.3314 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.1333 loss: 1.1333 2022/07/23 12:32:47 - mmengine - INFO - Epoch(val) [48][20/310] eta: 0:03:55 time: 0.8123 data_time: 0.6983 memory: 3406 2022/07/23 12:32:58 - mmengine - INFO - Epoch(val) [48][40/310] eta: 0:02:33 time: 0.5689 data_time: 0.4550 memory: 3406 2022/07/23 12:33:13 - mmengine - INFO - Epoch(val) [48][60/310] eta: 0:03:05 time: 0.7420 data_time: 0.6285 memory: 3406 2022/07/23 12:33:25 - mmengine - INFO - Epoch(val) [48][80/310] eta: 0:02:14 time: 0.5843 data_time: 0.4711 memory: 3406 2022/07/23 12:33:40 - mmengine - INFO - Epoch(val) [48][100/310] eta: 0:02:34 time: 0.7374 data_time: 0.6222 memory: 3406 2022/07/23 12:33:52 - mmengine - INFO - Epoch(val) [48][120/310] eta: 0:01:53 time: 0.5949 data_time: 0.4809 memory: 3406 2022/07/23 12:34:06 - mmengine - INFO - Epoch(val) [48][140/310] eta: 0:02:02 time: 0.7202 data_time: 0.6061 memory: 3406 2022/07/23 12:34:18 - mmengine - INFO - Epoch(val) [48][160/310] eta: 0:01:27 time: 0.5842 data_time: 0.4710 memory: 3406 2022/07/23 12:34:33 - mmengine - INFO - Epoch(val) [48][180/310] eta: 0:01:36 time: 0.7438 data_time: 0.6272 memory: 3406 2022/07/23 12:34:44 - mmengine - INFO - Epoch(val) [48][200/310] eta: 0:01:01 time: 0.5614 data_time: 0.4489 memory: 3406 2022/07/23 12:34:59 - mmengine - INFO - Epoch(val) [48][220/310] eta: 0:01:08 time: 0.7607 data_time: 0.6436 memory: 3406 2022/07/23 12:35:11 - mmengine - INFO - Epoch(val) [48][240/310] eta: 0:00:41 time: 0.5952 data_time: 0.4811 memory: 3406 2022/07/23 12:35:26 - mmengine - INFO - Epoch(val) [48][260/310] eta: 0:00:36 time: 0.7395 data_time: 0.6238 memory: 3406 2022/07/23 12:35:37 - mmengine - INFO - Epoch(val) [48][280/310] eta: 0:00:17 time: 0.5754 data_time: 0.4622 memory: 3406 2022/07/23 12:35:51 - mmengine - INFO - Epoch(val) [48][300/310] eta: 0:00:07 time: 0.7028 data_time: 0.5880 memory: 3406 2022/07/23 12:35:58 - mmengine - INFO - Epoch(val) [48][310/310] acc/top1: 0.6726 acc/top5: 0.8706 acc/mean1: 0.6725 2022/07/23 12:35:58 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_48.pth is removed 2022/07/23 12:36:00 - mmengine - INFO - The best checkpoint with 0.6726 acc/top1 at 49 epoch is saved to best_acc/top1_epoch_49.pth. 2022/07/23 12:36:18 - mmengine - INFO - Epoch(train) [49][20/3757] lr: 1.0000e-03 eta: 1 day, 12:10:16 time: 0.9104 data_time: 0.5807 memory: 17350 grad_norm: 6.0693 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3174 loss: 1.3174 2022/07/23 12:36:29 - mmengine - INFO - Epoch(train) [49][40/3757] lr: 1.0000e-03 eta: 1 day, 12:10:00 time: 0.5764 data_time: 0.2512 memory: 17350 grad_norm: 6.3829 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2714 loss: 1.2714 2022/07/23 12:36:44 - mmengine - INFO - Epoch(train) [49][60/3757] lr: 1.0000e-03 eta: 1 day, 12:09:48 time: 0.7137 data_time: 0.2260 memory: 17350 grad_norm: 6.1455 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3397 loss: 1.3397 2022/07/23 12:36:57 - mmengine - INFO - Epoch(train) [49][80/3757] lr: 1.0000e-03 eta: 1 day, 12:09:34 time: 0.6460 data_time: 0.1683 memory: 17350 grad_norm: 6.2700 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2041 loss: 1.2041 2022/07/23 12:37:10 - mmengine - INFO - Epoch(train) [49][100/3757] lr: 1.0000e-03 eta: 1 day, 12:09:21 time: 0.6892 data_time: 0.1418 memory: 17350 grad_norm: 6.2314 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3166 loss: 1.3166 2022/07/23 12:37:23 - mmengine - INFO - Epoch(train) [49][120/3757] lr: 1.0000e-03 eta: 1 day, 12:09:07 time: 0.6080 data_time: 0.1589 memory: 17350 grad_norm: 6.1019 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3332 loss: 1.3332 2022/07/23 12:37:37 - mmengine - INFO - Epoch(train) [49][140/3757] lr: 1.0000e-03 eta: 1 day, 12:08:55 time: 0.7386 data_time: 0.2891 memory: 17350 grad_norm: 6.1623 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1681 loss: 1.1681 2022/07/23 12:37:50 - mmengine - INFO - Epoch(train) [49][160/3757] lr: 1.0000e-03 eta: 1 day, 12:08:40 time: 0.6102 data_time: 0.1778 memory: 17350 grad_norm: 6.2613 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4368 loss: 1.4368 2022/07/23 12:38:04 - mmengine - INFO - Epoch(train) [49][180/3757] lr: 1.0000e-03 eta: 1 day, 12:08:28 time: 0.7083 data_time: 0.1724 memory: 17350 grad_norm: 6.0831 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2143 loss: 1.2143 2022/07/23 12:38:17 - mmengine - INFO - Epoch(train) [49][200/3757] lr: 1.0000e-03 eta: 1 day, 12:08:14 time: 0.6534 data_time: 0.2014 memory: 17350 grad_norm: 6.0458 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3028 loss: 1.3028 2022/07/23 12:38:30 - mmengine - INFO - Epoch(train) [49][220/3757] lr: 1.0000e-03 eta: 1 day, 12:08:01 time: 0.6733 data_time: 0.1369 memory: 17350 grad_norm: 5.9495 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2219 loss: 1.2219 2022/07/23 12:38:43 - mmengine - INFO - Epoch(train) [49][240/3757] lr: 1.0000e-03 eta: 1 day, 12:07:47 time: 0.6326 data_time: 0.2851 memory: 17350 grad_norm: 6.3339 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4723 loss: 1.4723 2022/07/23 12:38:57 - mmengine - INFO - Epoch(train) [49][260/3757] lr: 1.0000e-03 eta: 1 day, 12:07:35 time: 0.7250 data_time: 0.3272 memory: 17350 grad_norm: 6.2219 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1288 loss: 1.1288 2022/07/23 12:39:10 - mmengine - INFO - Epoch(train) [49][280/3757] lr: 1.0000e-03 eta: 1 day, 12:07:21 time: 0.6175 data_time: 0.1783 memory: 17350 grad_norm: 6.2294 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4516 loss: 1.4516 2022/07/23 12:39:25 - mmengine - INFO - Epoch(train) [49][300/3757] lr: 1.0000e-03 eta: 1 day, 12:07:09 time: 0.7449 data_time: 0.3056 memory: 17350 grad_norm: 6.1720 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3930 loss: 1.3930 2022/07/23 12:39:37 - mmengine - INFO - Epoch(train) [49][320/3757] lr: 1.0000e-03 eta: 1 day, 12:06:54 time: 0.6076 data_time: 0.1496 memory: 17350 grad_norm: 6.5157 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3904 loss: 1.3904 2022/07/23 12:39:52 - mmengine - INFO - Epoch(train) [49][340/3757] lr: 1.0000e-03 eta: 1 day, 12:06:43 time: 0.7689 data_time: 0.2647 memory: 17350 grad_norm: 6.1081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1995 loss: 1.1995 2022/07/23 12:40:03 - mmengine - INFO - Epoch(train) [49][360/3757] lr: 1.0000e-03 eta: 1 day, 12:06:27 time: 0.5539 data_time: 0.1419 memory: 17350 grad_norm: 6.2780 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4416 loss: 1.4416 2022/07/23 12:40:18 - mmengine - INFO - Epoch(train) [49][380/3757] lr: 1.0000e-03 eta: 1 day, 12:06:16 time: 0.7464 data_time: 0.2475 memory: 17350 grad_norm: 6.4101 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4337 loss: 1.4337 2022/07/23 12:40:30 - mmengine - INFO - Epoch(train) [49][400/3757] lr: 1.0000e-03 eta: 1 day, 12:06:00 time: 0.5664 data_time: 0.1467 memory: 17350 grad_norm: 6.2934 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1980 loss: 1.1980 2022/07/23 12:40:44 - mmengine - INFO - Epoch(train) [49][420/3757] lr: 1.0000e-03 eta: 1 day, 12:05:49 time: 0.7372 data_time: 0.2632 memory: 17350 grad_norm: 6.3340 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2631 loss: 1.2631 2022/07/23 12:40:57 - mmengine - INFO - Epoch(train) [49][440/3757] lr: 1.0000e-03 eta: 1 day, 12:05:34 time: 0.6163 data_time: 0.1662 memory: 17350 grad_norm: 6.2301 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4479 loss: 1.4479 2022/07/23 12:41:11 - mmengine - INFO - Epoch(train) [49][460/3757] lr: 1.0000e-03 eta: 1 day, 12:05:22 time: 0.7314 data_time: 0.1886 memory: 17350 grad_norm: 6.0501 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2046 loss: 1.2046 2022/07/23 12:41:24 - mmengine - INFO - Epoch(train) [49][480/3757] lr: 1.0000e-03 eta: 1 day, 12:05:08 time: 0.6262 data_time: 0.2253 memory: 17350 grad_norm: 6.3065 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0942 loss: 1.0942 2022/07/23 12:41:38 - mmengine - INFO - Epoch(train) [49][500/3757] lr: 1.0000e-03 eta: 1 day, 12:04:56 time: 0.7148 data_time: 0.2327 memory: 17350 grad_norm: 6.1804 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1707 loss: 1.1707 2022/07/23 12:41:50 - mmengine - INFO - Epoch(train) [49][520/3757] lr: 1.0000e-03 eta: 1 day, 12:04:41 time: 0.6073 data_time: 0.1559 memory: 17350 grad_norm: 6.2409 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3811 loss: 1.3811 2022/07/23 12:42:05 - mmengine - INFO - Epoch(train) [49][540/3757] lr: 1.0000e-03 eta: 1 day, 12:04:29 time: 0.7289 data_time: 0.1875 memory: 17350 grad_norm: 6.2590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1313 loss: 1.1313 2022/07/23 12:42:17 - mmengine - INFO - Epoch(train) [49][560/3757] lr: 1.0000e-03 eta: 1 day, 12:04:14 time: 0.6056 data_time: 0.0921 memory: 17350 grad_norm: 6.1834 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2052 loss: 1.2052 2022/07/23 12:42:32 - mmengine - INFO - Epoch(train) [49][580/3757] lr: 1.0000e-03 eta: 1 day, 12:04:03 time: 0.7452 data_time: 0.1160 memory: 17350 grad_norm: 6.1550 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2549 loss: 1.2549 2022/07/23 12:42:44 - mmengine - INFO - Epoch(train) [49][600/3757] lr: 1.0000e-03 eta: 1 day, 12:03:48 time: 0.6029 data_time: 0.0730 memory: 17350 grad_norm: 6.2332 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2450 loss: 1.2450 2022/07/23 12:42:57 - mmengine - INFO - Epoch(train) [49][620/3757] lr: 1.0000e-03 eta: 1 day, 12:03:35 time: 0.6651 data_time: 0.1305 memory: 17350 grad_norm: 6.0968 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0442 loss: 1.0442 2022/07/23 12:43:10 - mmengine - INFO - Epoch(train) [49][640/3757] lr: 1.0000e-03 eta: 1 day, 12:03:20 time: 0.6213 data_time: 0.1923 memory: 17350 grad_norm: 6.4688 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4665 loss: 1.4665 2022/07/23 12:43:24 - mmengine - INFO - Epoch(train) [49][660/3757] lr: 1.0000e-03 eta: 1 day, 12:03:08 time: 0.7186 data_time: 0.2632 memory: 17350 grad_norm: 6.0545 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3572 loss: 1.3572 2022/07/23 12:43:27 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 12:43:38 - mmengine - INFO - Epoch(train) [49][680/3757] lr: 1.0000e-03 eta: 1 day, 12:02:55 time: 0.6730 data_time: 0.0627 memory: 17350 grad_norm: 6.0682 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3501 loss: 1.3501 2022/07/23 12:43:51 - mmengine - INFO - Epoch(train) [49][700/3757] lr: 1.0000e-03 eta: 1 day, 12:02:41 time: 0.6545 data_time: 0.0229 memory: 17350 grad_norm: 6.4992 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3313 loss: 1.3313 2022/07/23 12:44:05 - mmengine - INFO - Epoch(train) [49][720/3757] lr: 1.0000e-03 eta: 1 day, 12:02:29 time: 0.7090 data_time: 0.0215 memory: 17350 grad_norm: 6.2240 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3153 loss: 1.3153 2022/07/23 12:44:18 - mmengine - INFO - Epoch(train) [49][740/3757] lr: 1.0000e-03 eta: 1 day, 12:02:15 time: 0.6515 data_time: 0.0225 memory: 17350 grad_norm: 6.1742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4070 loss: 1.4070 2022/07/23 12:44:31 - mmengine - INFO - Epoch(train) [49][760/3757] lr: 1.0000e-03 eta: 1 day, 12:02:01 time: 0.6410 data_time: 0.0236 memory: 17350 grad_norm: 6.3280 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2992 loss: 1.2992 2022/07/23 12:44:45 - mmengine - INFO - Epoch(train) [49][780/3757] lr: 1.0000e-03 eta: 1 day, 12:01:48 time: 0.6805 data_time: 0.0219 memory: 17350 grad_norm: 6.0117 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3266 loss: 1.3266 2022/07/23 12:44:58 - mmengine - INFO - Epoch(train) [49][800/3757] lr: 1.0000e-03 eta: 1 day, 12:01:35 time: 0.6527 data_time: 0.0238 memory: 17350 grad_norm: 6.2798 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1840 loss: 1.1840 2022/07/23 12:45:12 - mmengine - INFO - Epoch(train) [49][820/3757] lr: 1.0000e-03 eta: 1 day, 12:01:22 time: 0.7030 data_time: 0.0228 memory: 17350 grad_norm: 5.9938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3288 loss: 1.3288 2022/07/23 12:45:25 - mmengine - INFO - Epoch(train) [49][840/3757] lr: 1.0000e-03 eta: 1 day, 12:01:09 time: 0.6584 data_time: 0.0217 memory: 17350 grad_norm: 6.0137 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1595 loss: 1.1595 2022/07/23 12:45:38 - mmengine - INFO - Epoch(train) [49][860/3757] lr: 1.0000e-03 eta: 1 day, 12:00:55 time: 0.6569 data_time: 0.0224 memory: 17350 grad_norm: 5.9478 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0831 loss: 1.0831 2022/07/23 12:45:52 - mmengine - INFO - Epoch(train) [49][880/3757] lr: 1.0000e-03 eta: 1 day, 12:00:42 time: 0.6881 data_time: 0.0223 memory: 17350 grad_norm: 6.2289 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3258 loss: 1.3258 2022/07/23 12:46:04 - mmengine - INFO - Epoch(train) [49][900/3757] lr: 1.0000e-03 eta: 1 day, 12:00:28 time: 0.6229 data_time: 0.0231 memory: 17350 grad_norm: 6.2579 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2512 loss: 1.2512 2022/07/23 12:46:18 - mmengine - INFO - Epoch(train) [49][920/3757] lr: 1.0000e-03 eta: 1 day, 12:00:15 time: 0.6687 data_time: 0.0218 memory: 17350 grad_norm: 6.1234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3751 loss: 1.3751 2022/07/23 12:46:31 - mmengine - INFO - Epoch(train) [49][940/3757] lr: 1.0000e-03 eta: 1 day, 12:00:01 time: 0.6542 data_time: 0.0229 memory: 17350 grad_norm: 6.2551 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4429 loss: 1.4429 2022/07/23 12:46:44 - mmengine - INFO - Epoch(train) [49][960/3757] lr: 1.0000e-03 eta: 1 day, 11:59:48 time: 0.6674 data_time: 0.0218 memory: 17350 grad_norm: 6.2694 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3041 loss: 1.3041 2022/07/23 12:46:57 - mmengine - INFO - Epoch(train) [49][980/3757] lr: 1.0000e-03 eta: 1 day, 11:59:34 time: 0.6427 data_time: 0.0232 memory: 17350 grad_norm: 6.4219 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4902 loss: 1.4902 2022/07/23 12:47:12 - mmengine - INFO - Epoch(train) [49][1000/3757] lr: 1.0000e-03 eta: 1 day, 11:59:22 time: 0.7305 data_time: 0.0243 memory: 17350 grad_norm: 6.4011 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4070 loss: 1.4070 2022/07/23 12:47:24 - mmengine - INFO - Epoch(train) [49][1020/3757] lr: 1.0000e-03 eta: 1 day, 11:59:08 time: 0.6142 data_time: 0.1103 memory: 17350 grad_norm: 6.1475 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2343 loss: 1.2343 2022/07/23 12:47:36 - mmengine - INFO - Epoch(train) [49][1040/3757] lr: 1.0000e-03 eta: 1 day, 11:58:53 time: 0.6188 data_time: 0.0842 memory: 17350 grad_norm: 6.4694 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4991 loss: 1.4991 2022/07/23 12:47:50 - mmengine - INFO - Epoch(train) [49][1060/3757] lr: 1.0000e-03 eta: 1 day, 11:58:41 time: 0.7064 data_time: 0.1707 memory: 17350 grad_norm: 6.2818 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3827 loss: 1.3827 2022/07/23 12:48:03 - mmengine - INFO - Epoch(train) [49][1080/3757] lr: 1.0000e-03 eta: 1 day, 11:58:27 time: 0.6328 data_time: 0.1694 memory: 17350 grad_norm: 6.2283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9993 loss: 0.9993 2022/07/23 12:48:17 - mmengine - INFO - Epoch(train) [49][1100/3757] lr: 1.0000e-03 eta: 1 day, 11:58:14 time: 0.7116 data_time: 0.1690 memory: 17350 grad_norm: 6.2610 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0285 loss: 1.0285 2022/07/23 12:48:29 - mmengine - INFO - Epoch(train) [49][1120/3757] lr: 1.0000e-03 eta: 1 day, 11:58:00 time: 0.6032 data_time: 0.0767 memory: 17350 grad_norm: 6.1008 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4277 loss: 1.4277 2022/07/23 12:48:44 - mmengine - INFO - Epoch(train) [49][1140/3757] lr: 1.0000e-03 eta: 1 day, 11:57:48 time: 0.7430 data_time: 0.0856 memory: 17350 grad_norm: 6.4690 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2309 loss: 1.2309 2022/07/23 12:48:57 - mmengine - INFO - Epoch(train) [49][1160/3757] lr: 1.0000e-03 eta: 1 day, 11:57:34 time: 0.6270 data_time: 0.1197 memory: 17350 grad_norm: 6.0777 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2837 loss: 1.2837 2022/07/23 12:49:10 - mmengine - INFO - Epoch(train) [49][1180/3757] lr: 1.0000e-03 eta: 1 day, 11:57:21 time: 0.6833 data_time: 0.0894 memory: 17350 grad_norm: 6.2007 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4188 loss: 1.4188 2022/07/23 12:49:24 - mmengine - INFO - Epoch(train) [49][1200/3757] lr: 1.0000e-03 eta: 1 day, 11:57:07 time: 0.6657 data_time: 0.0950 memory: 17350 grad_norm: 6.3416 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2515 loss: 1.2515 2022/07/23 12:49:38 - mmengine - INFO - Epoch(train) [49][1220/3757] lr: 1.0000e-03 eta: 1 day, 11:56:55 time: 0.7137 data_time: 0.1779 memory: 17350 grad_norm: 6.2848 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3758 loss: 1.3758 2022/07/23 12:49:51 - mmengine - INFO - Epoch(train) [49][1240/3757] lr: 1.0000e-03 eta: 1 day, 11:56:41 time: 0.6354 data_time: 0.1340 memory: 17350 grad_norm: 6.3377 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4597 loss: 1.4597 2022/07/23 12:50:05 - mmengine - INFO - Epoch(train) [49][1260/3757] lr: 1.0000e-03 eta: 1 day, 11:56:29 time: 0.7176 data_time: 0.2298 memory: 17350 grad_norm: 6.3593 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3965 loss: 1.3965 2022/07/23 12:50:18 - mmengine - INFO - Epoch(train) [49][1280/3757] lr: 1.0000e-03 eta: 1 day, 11:56:15 time: 0.6370 data_time: 0.2339 memory: 17350 grad_norm: 6.5781 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2424 loss: 1.2424 2022/07/23 12:50:33 - mmengine - INFO - Epoch(train) [49][1300/3757] lr: 1.0000e-03 eta: 1 day, 11:56:03 time: 0.7342 data_time: 0.2771 memory: 17350 grad_norm: 6.1258 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2042 loss: 1.2042 2022/07/23 12:50:45 - mmengine - INFO - Epoch(train) [49][1320/3757] lr: 1.0000e-03 eta: 1 day, 11:55:49 time: 0.6259 data_time: 0.1621 memory: 17350 grad_norm: 5.9224 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.2097 loss: 1.2097 2022/07/23 12:50:59 - mmengine - INFO - Epoch(train) [49][1340/3757] lr: 1.0000e-03 eta: 1 day, 11:55:36 time: 0.7009 data_time: 0.2615 memory: 17350 grad_norm: 6.1222 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4090 loss: 1.4090 2022/07/23 12:51:11 - mmengine - INFO - Epoch(train) [49][1360/3757] lr: 1.0000e-03 eta: 1 day, 11:55:21 time: 0.5998 data_time: 0.1199 memory: 17350 grad_norm: 6.3215 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4111 loss: 1.4111 2022/07/23 12:51:26 - mmengine - INFO - Epoch(train) [49][1380/3757] lr: 1.0000e-03 eta: 1 day, 11:55:09 time: 0.7221 data_time: 0.0511 memory: 17350 grad_norm: 6.3377 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4075 loss: 1.4075 2022/07/23 12:51:38 - mmengine - INFO - Epoch(train) [49][1400/3757] lr: 1.0000e-03 eta: 1 day, 11:54:55 time: 0.6108 data_time: 0.0207 memory: 17350 grad_norm: 6.2136 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3024 loss: 1.3024 2022/07/23 12:51:52 - mmengine - INFO - Epoch(train) [49][1420/3757] lr: 1.0000e-03 eta: 1 day, 11:54:43 time: 0.7313 data_time: 0.0236 memory: 17350 grad_norm: 6.1035 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3480 loss: 1.3480 2022/07/23 12:52:05 - mmengine - INFO - Epoch(train) [49][1440/3757] lr: 1.0000e-03 eta: 1 day, 11:54:29 time: 0.6290 data_time: 0.0227 memory: 17350 grad_norm: 6.6327 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4955 loss: 1.4955 2022/07/23 12:52:19 - mmengine - INFO - Epoch(train) [49][1460/3757] lr: 1.0000e-03 eta: 1 day, 11:54:16 time: 0.6791 data_time: 0.0257 memory: 17350 grad_norm: 6.4456 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3004 loss: 1.3004 2022/07/23 12:52:31 - mmengine - INFO - Epoch(train) [49][1480/3757] lr: 1.0000e-03 eta: 1 day, 11:54:01 time: 0.6176 data_time: 0.0227 memory: 17350 grad_norm: 6.4584 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5069 loss: 1.5069 2022/07/23 12:52:46 - mmengine - INFO - Epoch(train) [49][1500/3757] lr: 1.0000e-03 eta: 1 day, 11:53:50 time: 0.7676 data_time: 0.0233 memory: 17350 grad_norm: 6.2221 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4423 loss: 1.4423 2022/07/23 12:52:58 - mmengine - INFO - Epoch(train) [49][1520/3757] lr: 1.0000e-03 eta: 1 day, 11:53:35 time: 0.5760 data_time: 0.0228 memory: 17350 grad_norm: 6.1584 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2002 loss: 1.2002 2022/07/23 12:53:12 - mmengine - INFO - Epoch(train) [49][1540/3757] lr: 1.0000e-03 eta: 1 day, 11:53:22 time: 0.7082 data_time: 0.0248 memory: 17350 grad_norm: 6.1882 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0258 loss: 1.0258 2022/07/23 12:53:24 - mmengine - INFO - Epoch(train) [49][1560/3757] lr: 1.0000e-03 eta: 1 day, 11:53:08 time: 0.5989 data_time: 0.0226 memory: 17350 grad_norm: 6.4593 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2338 loss: 1.2338 2022/07/23 12:53:39 - mmengine - INFO - Epoch(train) [49][1580/3757] lr: 1.0000e-03 eta: 1 day, 11:52:56 time: 0.7402 data_time: 0.0243 memory: 17350 grad_norm: 6.1125 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2480 loss: 1.2480 2022/07/23 12:53:51 - mmengine - INFO - Epoch(train) [49][1600/3757] lr: 1.0000e-03 eta: 1 day, 11:52:42 time: 0.6180 data_time: 0.0249 memory: 17350 grad_norm: 6.3857 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2305 loss: 1.2305 2022/07/23 12:54:06 - mmengine - INFO - Epoch(train) [49][1620/3757] lr: 1.0000e-03 eta: 1 day, 11:52:29 time: 0.7200 data_time: 0.0248 memory: 17350 grad_norm: 6.3180 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4190 loss: 1.4190 2022/07/23 12:54:17 - mmengine - INFO - Epoch(train) [49][1640/3757] lr: 1.0000e-03 eta: 1 day, 11:52:14 time: 0.5903 data_time: 0.0254 memory: 17350 grad_norm: 6.2276 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1658 loss: 1.1658 2022/07/23 12:54:32 - mmengine - INFO - Epoch(train) [49][1660/3757] lr: 1.0000e-03 eta: 1 day, 11:52:02 time: 0.7117 data_time: 0.0199 memory: 17350 grad_norm: 6.3912 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3130 loss: 1.3130 2022/07/23 12:54:33 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 12:54:44 - mmengine - INFO - Epoch(train) [49][1680/3757] lr: 1.0000e-03 eta: 1 day, 11:51:47 time: 0.5921 data_time: 0.0228 memory: 17350 grad_norm: 6.1652 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1921 loss: 1.1921 2022/07/23 12:54:58 - mmengine - INFO - Epoch(train) [49][1700/3757] lr: 1.0000e-03 eta: 1 day, 11:51:34 time: 0.6988 data_time: 0.0236 memory: 17350 grad_norm: 6.3534 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1493 loss: 1.1493 2022/07/23 12:55:11 - mmengine - INFO - Epoch(train) [49][1720/3757] lr: 1.0000e-03 eta: 1 day, 11:51:21 time: 0.6646 data_time: 0.0969 memory: 17350 grad_norm: 6.0583 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3465 loss: 1.3465 2022/07/23 12:55:25 - mmengine - INFO - Epoch(train) [49][1740/3757] lr: 1.0000e-03 eta: 1 day, 11:51:09 time: 0.7196 data_time: 0.2047 memory: 17350 grad_norm: 6.2454 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1035 loss: 1.1035 2022/07/23 12:55:37 - mmengine - INFO - Epoch(train) [49][1760/3757] lr: 1.0000e-03 eta: 1 day, 11:50:54 time: 0.5839 data_time: 0.1378 memory: 17350 grad_norm: 6.3804 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5649 loss: 1.5649 2022/07/23 12:55:52 - mmengine - INFO - Epoch(train) [49][1780/3757] lr: 1.0000e-03 eta: 1 day, 11:50:42 time: 0.7515 data_time: 0.1980 memory: 17350 grad_norm: 6.2036 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1913 loss: 1.1913 2022/07/23 12:56:04 - mmengine - INFO - Epoch(train) [49][1800/3757] lr: 1.0000e-03 eta: 1 day, 11:50:28 time: 0.6202 data_time: 0.0232 memory: 17350 grad_norm: 6.3263 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2881 loss: 1.2881 2022/07/23 12:56:19 - mmengine - INFO - Epoch(train) [49][1820/3757] lr: 1.0000e-03 eta: 1 day, 11:50:16 time: 0.7348 data_time: 0.0242 memory: 17350 grad_norm: 6.0967 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1554 loss: 1.1554 2022/07/23 12:56:31 - mmengine - INFO - Epoch(train) [49][1840/3757] lr: 1.0000e-03 eta: 1 day, 11:50:01 time: 0.5836 data_time: 0.0219 memory: 17350 grad_norm: 6.0181 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2914 loss: 1.2914 2022/07/23 12:56:45 - mmengine - INFO - Epoch(train) [49][1860/3757] lr: 1.0000e-03 eta: 1 day, 11:49:49 time: 0.7341 data_time: 0.0230 memory: 17350 grad_norm: 6.2766 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1516 loss: 1.1516 2022/07/23 12:56:58 - mmengine - INFO - Epoch(train) [49][1880/3757] lr: 1.0000e-03 eta: 1 day, 11:49:34 time: 0.6011 data_time: 0.0242 memory: 17350 grad_norm: 6.1060 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1509 loss: 1.1509 2022/07/23 12:57:12 - mmengine - INFO - Epoch(train) [49][1900/3757] lr: 1.0000e-03 eta: 1 day, 11:49:22 time: 0.7235 data_time: 0.0224 memory: 17350 grad_norm: 6.0805 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4718 loss: 1.4718 2022/07/23 12:57:23 - mmengine - INFO - Epoch(train) [49][1920/3757] lr: 1.0000e-03 eta: 1 day, 11:49:07 time: 0.5717 data_time: 0.0221 memory: 17350 grad_norm: 6.2945 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1408 loss: 1.1408 2022/07/23 12:57:38 - mmengine - INFO - Epoch(train) [49][1940/3757] lr: 1.0000e-03 eta: 1 day, 11:48:55 time: 0.7242 data_time: 0.0207 memory: 17350 grad_norm: 6.3087 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2074 loss: 1.2074 2022/07/23 12:57:50 - mmengine - INFO - Epoch(train) [49][1960/3757] lr: 1.0000e-03 eta: 1 day, 11:48:40 time: 0.5822 data_time: 0.0230 memory: 17350 grad_norm: 6.1217 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4061 loss: 1.4061 2022/07/23 12:58:04 - mmengine - INFO - Epoch(train) [49][1980/3757] lr: 1.0000e-03 eta: 1 day, 11:48:27 time: 0.7109 data_time: 0.0388 memory: 17350 grad_norm: 6.1938 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2751 loss: 1.2751 2022/07/23 12:58:16 - mmengine - INFO - Epoch(train) [49][2000/3757] lr: 1.0000e-03 eta: 1 day, 11:48:13 time: 0.6057 data_time: 0.0896 memory: 17350 grad_norm: 6.2061 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3895 loss: 1.3895 2022/07/23 12:58:29 - mmengine - INFO - Epoch(train) [49][2020/3757] lr: 1.0000e-03 eta: 1 day, 11:47:59 time: 0.6666 data_time: 0.0633 memory: 17350 grad_norm: 6.2148 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6314 loss: 1.6314 2022/07/23 12:58:42 - mmengine - INFO - Epoch(train) [49][2040/3757] lr: 1.0000e-03 eta: 1 day, 11:47:45 time: 0.6434 data_time: 0.0248 memory: 17350 grad_norm: 6.3778 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1744 loss: 1.1744 2022/07/23 12:58:56 - mmengine - INFO - Epoch(train) [49][2060/3757] lr: 1.0000e-03 eta: 1 day, 11:47:33 time: 0.6934 data_time: 0.0237 memory: 17350 grad_norm: 6.0366 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2633 loss: 1.2633 2022/07/23 12:59:09 - mmengine - INFO - Epoch(train) [49][2080/3757] lr: 1.0000e-03 eta: 1 day, 11:47:19 time: 0.6316 data_time: 0.0233 memory: 17350 grad_norm: 6.2143 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2932 loss: 1.2932 2022/07/23 12:59:24 - mmengine - INFO - Epoch(train) [49][2100/3757] lr: 1.0000e-03 eta: 1 day, 11:47:07 time: 0.7488 data_time: 0.0232 memory: 17350 grad_norm: 6.4400 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3426 loss: 1.3426 2022/07/23 12:59:37 - mmengine - INFO - Epoch(train) [49][2120/3757] lr: 1.0000e-03 eta: 1 day, 11:46:54 time: 0.6665 data_time: 0.0224 memory: 17350 grad_norm: 6.1174 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3120 loss: 1.3120 2022/07/23 12:59:50 - mmengine - INFO - Epoch(train) [49][2140/3757] lr: 1.0000e-03 eta: 1 day, 11:46:40 time: 0.6697 data_time: 0.0239 memory: 17350 grad_norm: 6.3941 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3604 loss: 1.3604 2022/07/23 13:00:03 - mmengine - INFO - Epoch(train) [49][2160/3757] lr: 1.0000e-03 eta: 1 day, 11:46:27 time: 0.6434 data_time: 0.0213 memory: 17350 grad_norm: 6.2892 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1043 loss: 1.1043 2022/07/23 13:00:18 - mmengine - INFO - Epoch(train) [49][2180/3757] lr: 1.0000e-03 eta: 1 day, 11:46:15 time: 0.7589 data_time: 0.0245 memory: 17350 grad_norm: 6.1176 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3691 loss: 1.3691 2022/07/23 13:00:30 - mmengine - INFO - Epoch(train) [49][2200/3757] lr: 1.0000e-03 eta: 1 day, 11:46:00 time: 0.5939 data_time: 0.0222 memory: 17350 grad_norm: 6.2401 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3652 loss: 1.3652 2022/07/23 13:00:43 - mmengine - INFO - Epoch(train) [49][2220/3757] lr: 1.0000e-03 eta: 1 day, 11:45:47 time: 0.6521 data_time: 0.0227 memory: 17350 grad_norm: 6.3415 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4625 loss: 1.4625 2022/07/23 13:00:57 - mmengine - INFO - Epoch(train) [49][2240/3757] lr: 1.0000e-03 eta: 1 day, 11:45:33 time: 0.6696 data_time: 0.0220 memory: 17350 grad_norm: 6.1473 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1435 loss: 1.1435 2022/07/23 13:01:09 - mmengine - INFO - Epoch(train) [49][2260/3757] lr: 1.0000e-03 eta: 1 day, 11:45:19 time: 0.6298 data_time: 0.0226 memory: 17350 grad_norm: 6.3988 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1816 loss: 1.1816 2022/07/23 13:01:23 - mmengine - INFO - Epoch(train) [49][2280/3757] lr: 1.0000e-03 eta: 1 day, 11:45:07 time: 0.6916 data_time: 0.0212 memory: 17350 grad_norm: 6.1904 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1580 loss: 1.1580 2022/07/23 13:01:36 - mmengine - INFO - Epoch(train) [49][2300/3757] lr: 1.0000e-03 eta: 1 day, 11:44:53 time: 0.6431 data_time: 0.0177 memory: 17350 grad_norm: 6.3556 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2570 loss: 1.2570 2022/07/23 13:01:50 - mmengine - INFO - Epoch(train) [49][2320/3757] lr: 1.0000e-03 eta: 1 day, 11:44:40 time: 0.6913 data_time: 0.0227 memory: 17350 grad_norm: 6.1480 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2528 loss: 1.2528 2022/07/23 13:02:02 - mmengine - INFO - Epoch(train) [49][2340/3757] lr: 1.0000e-03 eta: 1 day, 11:44:25 time: 0.6032 data_time: 0.0219 memory: 17350 grad_norm: 6.3090 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3498 loss: 1.3498 2022/07/23 13:02:16 - mmengine - INFO - Epoch(train) [49][2360/3757] lr: 1.0000e-03 eta: 1 day, 11:44:13 time: 0.7130 data_time: 0.0232 memory: 17350 grad_norm: 6.2573 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2852 loss: 1.2852 2022/07/23 13:02:29 - mmengine - INFO - Epoch(train) [49][2380/3757] lr: 1.0000e-03 eta: 1 day, 11:43:59 time: 0.6367 data_time: 0.0223 memory: 17350 grad_norm: 6.6139 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4822 loss: 1.4822 2022/07/23 13:02:43 - mmengine - INFO - Epoch(train) [49][2400/3757] lr: 1.0000e-03 eta: 1 day, 11:43:46 time: 0.6873 data_time: 0.0219 memory: 17350 grad_norm: 5.8073 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1664 loss: 1.1664 2022/07/23 13:02:56 - mmengine - INFO - Epoch(train) [49][2420/3757] lr: 1.0000e-03 eta: 1 day, 11:43:32 time: 0.6419 data_time: 0.0240 memory: 17350 grad_norm: 6.1857 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2907 loss: 1.2907 2022/07/23 13:03:10 - mmengine - INFO - Epoch(train) [49][2440/3757] lr: 1.0000e-03 eta: 1 day, 11:43:20 time: 0.7213 data_time: 0.0237 memory: 17350 grad_norm: 6.5579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3020 loss: 1.3020 2022/07/23 13:03:23 - mmengine - INFO - Epoch(train) [49][2460/3757] lr: 1.0000e-03 eta: 1 day, 11:43:06 time: 0.6403 data_time: 0.0226 memory: 17350 grad_norm: 6.3676 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3383 loss: 1.3383 2022/07/23 13:03:36 - mmengine - INFO - Epoch(train) [49][2480/3757] lr: 1.0000e-03 eta: 1 day, 11:42:53 time: 0.6579 data_time: 0.0234 memory: 17350 grad_norm: 6.6167 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8094 loss: 1.8094 2022/07/23 13:03:49 - mmengine - INFO - Epoch(train) [49][2500/3757] lr: 1.0000e-03 eta: 1 day, 11:42:39 time: 0.6650 data_time: 0.0244 memory: 17350 grad_norm: 5.9824 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3114 loss: 1.3114 2022/07/23 13:04:03 - mmengine - INFO - Epoch(train) [49][2520/3757] lr: 1.0000e-03 eta: 1 day, 11:42:27 time: 0.7029 data_time: 0.0217 memory: 17350 grad_norm: 6.3423 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2956 loss: 1.2956 2022/07/23 13:04:16 - mmengine - INFO - Epoch(train) [49][2540/3757] lr: 1.0000e-03 eta: 1 day, 11:42:12 time: 0.6093 data_time: 0.0216 memory: 17350 grad_norm: 6.0318 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2178 loss: 1.2178 2022/07/23 13:04:30 - mmengine - INFO - Epoch(train) [49][2560/3757] lr: 1.0000e-03 eta: 1 day, 11:42:00 time: 0.7293 data_time: 0.0224 memory: 17350 grad_norm: 6.1950 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2967 loss: 1.2967 2022/07/23 13:04:43 - mmengine - INFO - Epoch(train) [49][2580/3757] lr: 1.0000e-03 eta: 1 day, 11:41:47 time: 0.6594 data_time: 0.0228 memory: 17350 grad_norm: 5.9843 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0432 loss: 1.0432 2022/07/23 13:04:57 - mmengine - INFO - Epoch(train) [49][2600/3757] lr: 1.0000e-03 eta: 1 day, 11:41:34 time: 0.6957 data_time: 0.0239 memory: 17350 grad_norm: 5.9905 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9551 loss: 0.9551 2022/07/23 13:05:10 - mmengine - INFO - Epoch(train) [49][2620/3757] lr: 1.0000e-03 eta: 1 day, 11:41:20 time: 0.6212 data_time: 0.0223 memory: 17350 grad_norm: 5.9300 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0707 loss: 1.0707 2022/07/23 13:05:23 - mmengine - INFO - Epoch(train) [49][2640/3757] lr: 1.0000e-03 eta: 1 day, 11:41:06 time: 0.6581 data_time: 0.0233 memory: 17350 grad_norm: 6.3222 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2684 loss: 1.2684 2022/07/23 13:05:36 - mmengine - INFO - Epoch(train) [49][2660/3757] lr: 1.0000e-03 eta: 1 day, 11:40:53 time: 0.6590 data_time: 0.0218 memory: 17350 grad_norm: 6.4319 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2844 loss: 1.2844 2022/07/23 13:05:40 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 13:05:50 - mmengine - INFO - Epoch(train) [49][2680/3757] lr: 1.0000e-03 eta: 1 day, 11:40:40 time: 0.7115 data_time: 0.0228 memory: 17350 grad_norm: 6.0329 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4862 loss: 1.4862 2022/07/23 13:06:03 - mmengine - INFO - Epoch(train) [49][2700/3757] lr: 1.0000e-03 eta: 1 day, 11:40:26 time: 0.6061 data_time: 0.0215 memory: 17350 grad_norm: 5.9888 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2145 loss: 1.2145 2022/07/23 13:06:17 - mmengine - INFO - Epoch(train) [49][2720/3757] lr: 1.0000e-03 eta: 1 day, 11:40:13 time: 0.7205 data_time: 0.0255 memory: 17350 grad_norm: 6.0836 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2736 loss: 1.2736 2022/07/23 13:06:30 - mmengine - INFO - Epoch(train) [49][2740/3757] lr: 1.0000e-03 eta: 1 day, 11:40:00 time: 0.6443 data_time: 0.0221 memory: 17350 grad_norm: 6.2079 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3700 loss: 1.3700 2022/07/23 13:06:44 - mmengine - INFO - Epoch(train) [49][2760/3757] lr: 1.0000e-03 eta: 1 day, 11:39:47 time: 0.6962 data_time: 0.0218 memory: 17350 grad_norm: 6.2179 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2249 loss: 1.2249 2022/07/23 13:06:56 - mmengine - INFO - Epoch(train) [49][2780/3757] lr: 1.0000e-03 eta: 1 day, 11:39:33 time: 0.6265 data_time: 0.0225 memory: 17350 grad_norm: 6.2226 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3963 loss: 1.3963 2022/07/23 13:07:10 - mmengine - INFO - Epoch(train) [49][2800/3757] lr: 1.0000e-03 eta: 1 day, 11:39:19 time: 0.6588 data_time: 0.0225 memory: 17350 grad_norm: 6.2287 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1939 loss: 1.1939 2022/07/23 13:07:22 - mmengine - INFO - Epoch(train) [49][2820/3757] lr: 1.0000e-03 eta: 1 day, 11:39:05 time: 0.6422 data_time: 0.0229 memory: 17350 grad_norm: 6.4080 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3884 loss: 1.3884 2022/07/23 13:07:37 - mmengine - INFO - Epoch(train) [49][2840/3757] lr: 1.0000e-03 eta: 1 day, 11:38:53 time: 0.7117 data_time: 0.0245 memory: 17350 grad_norm: 6.0927 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2740 loss: 1.2740 2022/07/23 13:07:50 - mmengine - INFO - Epoch(train) [49][2860/3757] lr: 1.0000e-03 eta: 1 day, 11:38:40 time: 0.6872 data_time: 0.0221 memory: 17350 grad_norm: 6.2074 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2232 loss: 1.2232 2022/07/23 13:08:03 - mmengine - INFO - Epoch(train) [49][2880/3757] lr: 1.0000e-03 eta: 1 day, 11:38:26 time: 0.6435 data_time: 0.0222 memory: 17350 grad_norm: 6.4605 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5486 loss: 1.5486 2022/07/23 13:08:16 - mmengine - INFO - Epoch(train) [49][2900/3757] lr: 1.0000e-03 eta: 1 day, 11:38:12 time: 0.6380 data_time: 0.0223 memory: 17350 grad_norm: 6.2169 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5143 loss: 1.5143 2022/07/23 13:08:29 - mmengine - INFO - Epoch(train) [49][2920/3757] lr: 1.0000e-03 eta: 1 day, 11:37:59 time: 0.6658 data_time: 0.0219 memory: 17350 grad_norm: 6.2234 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1576 loss: 1.1576 2022/07/23 13:08:42 - mmengine - INFO - Epoch(train) [49][2940/3757] lr: 1.0000e-03 eta: 1 day, 11:37:45 time: 0.6169 data_time: 0.0247 memory: 17350 grad_norm: 5.7265 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1693 loss: 1.1693 2022/07/23 13:08:57 - mmengine - INFO - Epoch(train) [49][2960/3757] lr: 1.0000e-03 eta: 1 day, 11:37:33 time: 0.7568 data_time: 0.0235 memory: 17350 grad_norm: 6.5745 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2725 loss: 1.2725 2022/07/23 13:09:09 - mmengine - INFO - Epoch(train) [49][2980/3757] lr: 1.0000e-03 eta: 1 day, 11:37:18 time: 0.5974 data_time: 0.0232 memory: 17350 grad_norm: 6.1480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3318 loss: 1.3318 2022/07/23 13:09:23 - mmengine - INFO - Epoch(train) [49][3000/3757] lr: 1.0000e-03 eta: 1 day, 11:37:06 time: 0.7114 data_time: 0.0242 memory: 17350 grad_norm: 6.3159 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2540 loss: 1.2540 2022/07/23 13:09:34 - mmengine - INFO - Epoch(train) [49][3020/3757] lr: 1.0000e-03 eta: 1 day, 11:36:51 time: 0.5627 data_time: 0.0247 memory: 17350 grad_norm: 6.2580 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3830 loss: 1.3830 2022/07/23 13:09:49 - mmengine - INFO - Epoch(train) [49][3040/3757] lr: 1.0000e-03 eta: 1 day, 11:36:38 time: 0.7114 data_time: 0.0245 memory: 17350 grad_norm: 6.2606 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3026 loss: 1.3026 2022/07/23 13:10:01 - mmengine - INFO - Epoch(train) [49][3060/3757] lr: 1.0000e-03 eta: 1 day, 11:36:24 time: 0.6154 data_time: 0.0238 memory: 17350 grad_norm: 6.2871 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2597 loss: 1.2597 2022/07/23 13:10:15 - mmengine - INFO - Epoch(train) [49][3080/3757] lr: 1.0000e-03 eta: 1 day, 11:36:11 time: 0.6837 data_time: 0.0220 memory: 17350 grad_norm: 6.2032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3364 loss: 1.3364 2022/07/23 13:10:29 - mmengine - INFO - Epoch(train) [49][3100/3757] lr: 1.0000e-03 eta: 1 day, 11:35:58 time: 0.7051 data_time: 0.0224 memory: 17350 grad_norm: 6.1305 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0439 loss: 1.0439 2022/07/23 13:10:41 - mmengine - INFO - Epoch(train) [49][3120/3757] lr: 1.0000e-03 eta: 1 day, 11:35:44 time: 0.6385 data_time: 0.0253 memory: 17350 grad_norm: 6.2837 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2726 loss: 1.2726 2022/07/23 13:10:55 - mmengine - INFO - Epoch(train) [49][3140/3757] lr: 1.0000e-03 eta: 1 day, 11:35:31 time: 0.6588 data_time: 0.0225 memory: 17350 grad_norm: 6.4021 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2526 loss: 1.2526 2022/07/23 13:11:09 - mmengine - INFO - Epoch(train) [49][3160/3757] lr: 1.0000e-03 eta: 1 day, 11:35:19 time: 0.7223 data_time: 0.0225 memory: 17350 grad_norm: 6.2463 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2346 loss: 1.2346 2022/07/23 13:11:22 - mmengine - INFO - Epoch(train) [49][3180/3757] lr: 1.0000e-03 eta: 1 day, 11:35:04 time: 0.6237 data_time: 0.0241 memory: 17350 grad_norm: 6.2214 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3929 loss: 1.3929 2022/07/23 13:11:36 - mmengine - INFO - Epoch(train) [49][3200/3757] lr: 1.0000e-03 eta: 1 day, 11:34:52 time: 0.7335 data_time: 0.0228 memory: 17350 grad_norm: 6.1114 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9505 loss: 0.9505 2022/07/23 13:11:49 - mmengine - INFO - Epoch(train) [49][3220/3757] lr: 1.0000e-03 eta: 1 day, 11:34:38 time: 0.6272 data_time: 0.0251 memory: 17350 grad_norm: 6.3541 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2932 loss: 1.2932 2022/07/23 13:12:02 - mmengine - INFO - Epoch(train) [49][3240/3757] lr: 1.0000e-03 eta: 1 day, 11:34:25 time: 0.6742 data_time: 0.0228 memory: 17350 grad_norm: 6.2180 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1916 loss: 1.1916 2022/07/23 13:12:15 - mmengine - INFO - Epoch(train) [49][3260/3757] lr: 1.0000e-03 eta: 1 day, 11:34:11 time: 0.6250 data_time: 0.0216 memory: 17350 grad_norm: 6.3732 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3119 loss: 1.3119 2022/07/23 13:12:29 - mmengine - INFO - Epoch(train) [49][3280/3757] lr: 1.0000e-03 eta: 1 day, 11:33:58 time: 0.6940 data_time: 0.0249 memory: 17350 grad_norm: 6.3445 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3910 loss: 1.3910 2022/07/23 13:12:42 - mmengine - INFO - Epoch(train) [49][3300/3757] lr: 1.0000e-03 eta: 1 day, 11:33:44 time: 0.6436 data_time: 0.0236 memory: 17350 grad_norm: 6.4434 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4024 loss: 1.4024 2022/07/23 13:12:56 - mmengine - INFO - Epoch(train) [49][3320/3757] lr: 1.0000e-03 eta: 1 day, 11:33:32 time: 0.7009 data_time: 0.0197 memory: 17350 grad_norm: 6.3997 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3897 loss: 1.3897 2022/07/23 13:13:08 - mmengine - INFO - Epoch(train) [49][3340/3757] lr: 1.0000e-03 eta: 1 day, 11:33:17 time: 0.6085 data_time: 0.0219 memory: 17350 grad_norm: 6.1025 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4510 loss: 1.4510 2022/07/23 13:13:22 - mmengine - INFO - Epoch(train) [49][3360/3757] lr: 1.0000e-03 eta: 1 day, 11:33:05 time: 0.7052 data_time: 0.0241 memory: 17350 grad_norm: 6.3144 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1857 loss: 1.1857 2022/07/23 13:13:35 - mmengine - INFO - Epoch(train) [49][3380/3757] lr: 1.0000e-03 eta: 1 day, 11:32:51 time: 0.6288 data_time: 0.0224 memory: 17350 grad_norm: 6.1156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3878 loss: 1.3878 2022/07/23 13:13:48 - mmengine - INFO - Epoch(train) [49][3400/3757] lr: 1.0000e-03 eta: 1 day, 11:32:38 time: 0.6936 data_time: 0.0229 memory: 17350 grad_norm: 6.0271 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2061 loss: 1.2061 2022/07/23 13:14:01 - mmengine - INFO - Epoch(train) [49][3420/3757] lr: 1.0000e-03 eta: 1 day, 11:32:24 time: 0.6335 data_time: 0.0231 memory: 17350 grad_norm: 6.3076 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3786 loss: 1.3786 2022/07/23 13:14:16 - mmengine - INFO - Epoch(train) [49][3440/3757] lr: 1.0000e-03 eta: 1 day, 11:32:12 time: 0.7346 data_time: 0.0214 memory: 17350 grad_norm: 6.0114 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1762 loss: 1.1762 2022/07/23 13:14:27 - mmengine - INFO - Epoch(train) [49][3460/3757] lr: 1.0000e-03 eta: 1 day, 11:31:56 time: 0.5677 data_time: 0.0234 memory: 17350 grad_norm: 6.3003 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1845 loss: 1.1845 2022/07/23 13:14:42 - mmengine - INFO - Epoch(train) [49][3480/3757] lr: 1.0000e-03 eta: 1 day, 11:31:45 time: 0.7406 data_time: 0.0228 memory: 17350 grad_norm: 6.3079 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3777 loss: 1.3777 2022/07/23 13:14:55 - mmengine - INFO - Epoch(train) [49][3500/3757] lr: 1.0000e-03 eta: 1 day, 11:31:31 time: 0.6370 data_time: 0.0225 memory: 17350 grad_norm: 6.1830 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2871 loss: 1.2871 2022/07/23 13:15:10 - mmengine - INFO - Epoch(train) [49][3520/3757] lr: 1.0000e-03 eta: 1 day, 11:31:19 time: 0.7594 data_time: 0.0242 memory: 17350 grad_norm: 6.5496 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3136 loss: 1.3136 2022/07/23 13:18:43 - mmengine - INFO - Epoch(train) [49][3540/3757] lr: 1.0000e-03 eta: 1 day, 11:34:34 time: 10.6518 data_time: 0.0269 memory: 17350 grad_norm: 6.1713 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1454 loss: 1.1454 2022/07/23 13:19:08 - mmengine - INFO - Epoch(train) [49][3560/3757] lr: 1.0000e-03 eta: 1 day, 11:34:34 time: 1.2669 data_time: 0.3353 memory: 17350 grad_norm: 6.3086 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3213 loss: 1.3213 2022/07/23 13:19:29 - mmengine - INFO - Epoch(train) [49][3580/3757] lr: 1.0000e-03 eta: 1 day, 11:34:27 time: 1.0089 data_time: 0.0711 memory: 17350 grad_norm: 6.6685 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4089 loss: 1.4089 2022/07/23 13:19:46 - mmengine - INFO - Epoch(train) [49][3600/3757] lr: 1.0000e-03 eta: 1 day, 11:34:18 time: 0.8864 data_time: 0.0365 memory: 17350 grad_norm: 6.2889 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4211 loss: 1.4211 2022/07/23 13:20:03 - mmengine - INFO - Epoch(train) [49][3620/3757] lr: 1.0000e-03 eta: 1 day, 11:34:08 time: 0.8181 data_time: 0.2519 memory: 17350 grad_norm: 6.3106 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5265 loss: 1.5265 2022/07/23 13:20:19 - mmengine - INFO - Epoch(train) [49][3640/3757] lr: 1.0000e-03 eta: 1 day, 11:33:58 time: 0.8039 data_time: 0.3078 memory: 17350 grad_norm: 6.3812 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0907 loss: 1.0907 2022/07/23 13:20:30 - mmengine - INFO - Epoch(train) [49][3660/3757] lr: 1.0000e-03 eta: 1 day, 11:33:42 time: 0.5628 data_time: 0.0345 memory: 17350 grad_norm: 6.4186 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2434 loss: 1.2434 2022/07/23 13:20:32 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 13:20:43 - mmengine - INFO - Epoch(train) [49][3680/3757] lr: 1.0000e-03 eta: 1 day, 11:33:28 time: 0.6450 data_time: 0.0234 memory: 17350 grad_norm: 6.3287 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1718 loss: 1.1718 2022/07/23 13:20:58 - mmengine - INFO - Epoch(train) [49][3700/3757] lr: 1.0000e-03 eta: 1 day, 11:33:17 time: 0.7743 data_time: 0.0229 memory: 17350 grad_norm: 6.0283 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2601 loss: 1.2601 2022/07/23 13:21:13 - mmengine - INFO - Epoch(train) [49][3720/3757] lr: 1.0000e-03 eta: 1 day, 11:33:05 time: 0.7366 data_time: 0.0266 memory: 17350 grad_norm: 6.3410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2133 loss: 1.2133 2022/07/23 13:21:26 - mmengine - INFO - Epoch(train) [49][3740/3757] lr: 1.0000e-03 eta: 1 day, 11:32:51 time: 0.6275 data_time: 0.0223 memory: 17350 grad_norm: 6.3266 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3205 loss: 1.3205 2022/07/23 13:21:33 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 13:21:33 - mmengine - INFO - Epoch(train) [49][3757/3757] lr: 1.0000e-03 eta: 1 day, 11:32:51 time: 0.3937 data_time: 0.0223 memory: 17350 grad_norm: 6.3772 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1483 loss: 1.1483 2022/07/23 13:21:52 - mmengine - INFO - Epoch(val) [49][20/310] eta: 0:04:37 time: 0.9584 data_time: 0.8448 memory: 3406 2022/07/23 13:22:03 - mmengine - INFO - Epoch(val) [49][40/310] eta: 0:02:29 time: 0.5534 data_time: 0.4392 memory: 3406 2022/07/23 13:22:18 - mmengine - INFO - Epoch(val) [49][60/310] eta: 0:03:03 time: 0.7357 data_time: 0.6206 memory: 3406 2022/07/23 13:22:29 - mmengine - INFO - Epoch(val) [49][80/310] eta: 0:02:10 time: 0.5657 data_time: 0.4520 memory: 3406 2022/07/23 13:22:44 - mmengine - INFO - Epoch(val) [49][100/310] eta: 0:02:42 time: 0.7757 data_time: 0.6604 memory: 3406 2022/07/23 13:22:56 - mmengine - INFO - Epoch(val) [49][120/310] eta: 0:01:46 time: 0.5629 data_time: 0.4513 memory: 3406 2022/07/23 13:23:11 - mmengine - INFO - Epoch(val) [49][140/310] eta: 0:02:06 time: 0.7430 data_time: 0.6301 memory: 3406 2022/07/23 13:23:22 - mmengine - INFO - Epoch(val) [49][160/310] eta: 0:01:28 time: 0.5902 data_time: 0.4776 memory: 3406 2022/07/23 13:23:36 - mmengine - INFO - Epoch(val) [49][180/310] eta: 0:01:29 time: 0.6910 data_time: 0.5775 memory: 3406 2022/07/23 13:23:49 - mmengine - INFO - Epoch(val) [49][200/310] eta: 0:01:10 time: 0.6386 data_time: 0.5203 memory: 3406 2022/07/23 13:24:03 - mmengine - INFO - Epoch(val) [49][220/310] eta: 0:01:03 time: 0.7078 data_time: 0.5930 memory: 3406 2022/07/23 13:24:15 - mmengine - INFO - Epoch(val) [49][240/310] eta: 0:00:42 time: 0.6093 data_time: 0.4947 memory: 3406 2022/07/23 13:24:29 - mmengine - INFO - Epoch(val) [49][260/310] eta: 0:00:33 time: 0.6782 data_time: 0.5636 memory: 3406 2022/07/23 13:24:41 - mmengine - INFO - Epoch(val) [49][280/310] eta: 0:00:18 time: 0.6101 data_time: 0.4963 memory: 3406 2022/07/23 13:24:56 - mmengine - INFO - Epoch(val) [49][300/310] eta: 0:00:07 time: 0.7447 data_time: 0.6323 memory: 3406 2022/07/23 13:25:02 - mmengine - INFO - Epoch(val) [49][310/310] acc/top1: 0.6719 acc/top5: 0.8720 acc/mean1: 0.6718 2022/07/23 13:25:21 - mmengine - INFO - Epoch(train) [50][20/3757] lr: 1.0000e-03 eta: 1 day, 11:32:21 time: 0.9548 data_time: 0.4918 memory: 17350 grad_norm: 6.0269 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3102 loss: 1.3102 2022/07/23 13:25:35 - mmengine - INFO - Epoch(train) [50][40/3757] lr: 1.0000e-03 eta: 1 day, 11:32:07 time: 0.6700 data_time: 0.0268 memory: 17350 grad_norm: 6.3137 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2012 loss: 1.2012 2022/07/23 13:25:48 - mmengine - INFO - Epoch(train) [50][60/3757] lr: 1.0000e-03 eta: 1 day, 11:31:54 time: 0.6827 data_time: 0.0248 memory: 17350 grad_norm: 6.2134 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4280 loss: 1.4280 2022/07/23 13:26:00 - mmengine - INFO - Epoch(train) [50][80/3757] lr: 1.0000e-03 eta: 1 day, 11:31:39 time: 0.5928 data_time: 0.0319 memory: 17350 grad_norm: 5.9892 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3045 loss: 1.3045 2022/07/23 13:26:17 - mmengine - INFO - Epoch(train) [50][100/3757] lr: 1.0000e-03 eta: 1 day, 11:31:29 time: 0.8126 data_time: 0.0231 memory: 17350 grad_norm: 6.3046 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3514 loss: 1.3514 2022/07/23 13:26:29 - mmengine - INFO - Epoch(train) [50][120/3757] lr: 1.0000e-03 eta: 1 day, 11:31:14 time: 0.6084 data_time: 0.0354 memory: 17350 grad_norm: 6.2484 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3910 loss: 1.3910 2022/07/23 13:26:44 - mmengine - INFO - Epoch(train) [50][140/3757] lr: 1.0000e-03 eta: 1 day, 11:31:03 time: 0.7426 data_time: 0.0990 memory: 17350 grad_norm: 6.1937 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2544 loss: 1.2544 2022/07/23 13:26:55 - mmengine - INFO - Epoch(train) [50][160/3757] lr: 1.0000e-03 eta: 1 day, 11:30:48 time: 0.5885 data_time: 0.0212 memory: 17350 grad_norm: 6.0228 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3062 loss: 1.3062 2022/07/23 13:27:09 - mmengine - INFO - Epoch(train) [50][180/3757] lr: 1.0000e-03 eta: 1 day, 11:30:34 time: 0.6824 data_time: 0.0460 memory: 17350 grad_norm: 6.3474 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2571 loss: 1.2571 2022/07/23 13:27:22 - mmengine - INFO - Epoch(train) [50][200/3757] lr: 1.0000e-03 eta: 1 day, 11:30:20 time: 0.6280 data_time: 0.1305 memory: 17350 grad_norm: 6.0829 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1061 loss: 1.1061 2022/07/23 13:27:36 - mmengine - INFO - Epoch(train) [50][220/3757] lr: 1.0000e-03 eta: 1 day, 11:30:08 time: 0.7224 data_time: 0.0871 memory: 17350 grad_norm: 6.3680 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4824 loss: 1.4824 2022/07/23 13:27:49 - mmengine - INFO - Epoch(train) [50][240/3757] lr: 1.0000e-03 eta: 1 day, 11:29:54 time: 0.6200 data_time: 0.0946 memory: 17350 grad_norm: 6.2880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2221 loss: 1.2221 2022/07/23 13:28:03 - mmengine - INFO - Epoch(train) [50][260/3757] lr: 1.0000e-03 eta: 1 day, 11:29:42 time: 0.7482 data_time: 0.0779 memory: 17350 grad_norm: 6.0366 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1426 loss: 1.1426 2022/07/23 13:28:15 - mmengine - INFO - Epoch(train) [50][280/3757] lr: 1.0000e-03 eta: 1 day, 11:29:27 time: 0.5769 data_time: 0.0339 memory: 17350 grad_norm: 6.2332 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5197 loss: 1.5197 2022/07/23 13:28:31 - mmengine - INFO - Epoch(train) [50][300/3757] lr: 1.0000e-03 eta: 1 day, 11:29:16 time: 0.8114 data_time: 0.2972 memory: 17350 grad_norm: 6.3187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0731 loss: 1.0731 2022/07/23 13:28:44 - mmengine - INFO - Epoch(train) [50][320/3757] lr: 1.0000e-03 eta: 1 day, 11:29:02 time: 0.6251 data_time: 0.2870 memory: 17350 grad_norm: 6.4814 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3614 loss: 1.3614 2022/07/23 13:28:59 - mmengine - INFO - Epoch(train) [50][340/3757] lr: 1.0000e-03 eta: 1 day, 11:28:50 time: 0.7390 data_time: 0.3418 memory: 17350 grad_norm: 6.2726 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2280 loss: 1.2280 2022/07/23 13:29:11 - mmengine - INFO - Epoch(train) [50][360/3757] lr: 1.0000e-03 eta: 1 day, 11:28:36 time: 0.6009 data_time: 0.1973 memory: 17350 grad_norm: 6.0511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5502 loss: 1.5502 2022/07/23 13:29:24 - mmengine - INFO - Epoch(train) [50][380/3757] lr: 1.0000e-03 eta: 1 day, 11:28:22 time: 0.6814 data_time: 0.3448 memory: 17350 grad_norm: 6.1815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2230 loss: 1.2230 2022/07/23 13:29:37 - mmengine - INFO - Epoch(train) [50][400/3757] lr: 1.0000e-03 eta: 1 day, 11:28:08 time: 0.6333 data_time: 0.1295 memory: 17350 grad_norm: 6.1954 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1228 loss: 1.1228 2022/07/23 13:29:50 - mmengine - INFO - Epoch(train) [50][420/3757] lr: 1.0000e-03 eta: 1 day, 11:27:55 time: 0.6617 data_time: 0.1448 memory: 17350 grad_norm: 6.1628 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4233 loss: 1.4233 2022/07/23 13:30:05 - mmengine - INFO - Epoch(train) [50][440/3757] lr: 1.0000e-03 eta: 1 day, 11:27:43 time: 0.7273 data_time: 0.1921 memory: 17350 grad_norm: 6.0472 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2893 loss: 1.2893 2022/07/23 13:30:17 - mmengine - INFO - Epoch(train) [50][460/3757] lr: 1.0000e-03 eta: 1 day, 11:27:29 time: 0.6331 data_time: 0.1713 memory: 17350 grad_norm: 6.0167 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1744 loss: 1.1744 2022/07/23 13:30:32 - mmengine - INFO - Epoch(train) [50][480/3757] lr: 1.0000e-03 eta: 1 day, 11:27:16 time: 0.7140 data_time: 0.1441 memory: 17350 grad_norm: 6.0269 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2755 loss: 1.2755 2022/07/23 13:30:46 - mmengine - INFO - Epoch(train) [50][500/3757] lr: 1.0000e-03 eta: 1 day, 11:27:04 time: 0.6991 data_time: 0.0486 memory: 17350 grad_norm: 6.3843 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4539 loss: 1.4539 2022/07/23 13:30:58 - mmengine - INFO - Epoch(train) [50][520/3757] lr: 1.0000e-03 eta: 1 day, 11:26:49 time: 0.5905 data_time: 0.0245 memory: 17350 grad_norm: 6.1850 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1465 loss: 1.1465 2022/07/23 13:31:13 - mmengine - INFO - Epoch(train) [50][540/3757] lr: 1.0000e-03 eta: 1 day, 11:26:37 time: 0.7740 data_time: 0.0238 memory: 17350 grad_norm: 6.2633 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0388 loss: 1.0388 2022/07/23 13:31:24 - mmengine - INFO - Epoch(train) [50][560/3757] lr: 1.0000e-03 eta: 1 day, 11:26:22 time: 0.5730 data_time: 0.0761 memory: 17350 grad_norm: 6.2872 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1166 loss: 1.1166 2022/07/23 13:31:37 - mmengine - INFO - Epoch(train) [50][580/3757] lr: 1.0000e-03 eta: 1 day, 11:26:08 time: 0.6454 data_time: 0.0211 memory: 17350 grad_norm: 6.2712 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2015 loss: 1.2015 2022/07/23 13:31:51 - mmengine - INFO - Epoch(train) [50][600/3757] lr: 1.0000e-03 eta: 1 day, 11:25:55 time: 0.6785 data_time: 0.0242 memory: 17350 grad_norm: 6.2736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3144 loss: 1.3144 2022/07/23 13:32:06 - mmengine - INFO - Epoch(train) [50][620/3757] lr: 1.0000e-03 eta: 1 day, 11:25:43 time: 0.7296 data_time: 0.0197 memory: 17350 grad_norm: 6.1753 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1221 loss: 1.1221 2022/07/23 13:32:18 - mmengine - INFO - Epoch(train) [50][640/3757] lr: 1.0000e-03 eta: 1 day, 11:25:28 time: 0.6010 data_time: 0.0341 memory: 17350 grad_norm: 6.1322 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3935 loss: 1.3935 2022/07/23 13:32:31 - mmengine - INFO - Epoch(train) [50][660/3757] lr: 1.0000e-03 eta: 1 day, 11:25:15 time: 0.6518 data_time: 0.0365 memory: 17350 grad_norm: 6.0956 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5896 loss: 1.5896 2022/07/23 13:32:45 - mmengine - INFO - Epoch(train) [50][680/3757] lr: 1.0000e-03 eta: 1 day, 11:25:02 time: 0.7149 data_time: 0.0372 memory: 17350 grad_norm: 6.1351 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0931 loss: 1.0931 2022/07/23 13:32:57 - mmengine - INFO - Epoch(train) [50][700/3757] lr: 1.0000e-03 eta: 1 day, 11:24:48 time: 0.6209 data_time: 0.0373 memory: 17350 grad_norm: 6.2451 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2896 loss: 1.2896 2022/07/23 13:33:11 - mmengine - INFO - Epoch(train) [50][720/3757] lr: 1.0000e-03 eta: 1 day, 11:24:35 time: 0.7002 data_time: 0.0653 memory: 17350 grad_norm: 6.2917 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4428 loss: 1.4428 2022/07/23 13:33:24 - mmengine - INFO - Epoch(train) [50][740/3757] lr: 1.0000e-03 eta: 1 day, 11:24:21 time: 0.6287 data_time: 0.0349 memory: 17350 grad_norm: 6.0134 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3995 loss: 1.3995 2022/07/23 13:33:38 - mmengine - INFO - Epoch(train) [50][760/3757] lr: 1.0000e-03 eta: 1 day, 11:24:09 time: 0.7207 data_time: 0.1004 memory: 17350 grad_norm: 6.2987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1835 loss: 1.1835 2022/07/23 13:33:52 - mmengine - INFO - Epoch(train) [50][780/3757] lr: 1.0000e-03 eta: 1 day, 11:23:56 time: 0.6854 data_time: 0.1602 memory: 17350 grad_norm: 6.4089 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1812 loss: 1.1812 2022/07/23 13:34:10 - mmengine - INFO - Epoch(train) [50][800/3757] lr: 1.0000e-03 eta: 1 day, 11:23:47 time: 0.8873 data_time: 0.0228 memory: 17350 grad_norm: 6.1111 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3319 loss: 1.3319 2022/07/23 13:34:20 - mmengine - INFO - Epoch(train) [50][820/3757] lr: 1.0000e-03 eta: 1 day, 11:23:30 time: 0.4929 data_time: 0.0322 memory: 17350 grad_norm: 6.2904 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3408 loss: 1.3408 2022/07/23 13:34:34 - mmengine - INFO - Epoch(train) [50][840/3757] lr: 1.0000e-03 eta: 1 day, 11:23:18 time: 0.7080 data_time: 0.0150 memory: 17350 grad_norm: 6.1666 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0467 loss: 1.0467 2022/07/23 13:34:46 - mmengine - INFO - Epoch(train) [50][860/3757] lr: 1.0000e-03 eta: 1 day, 11:23:03 time: 0.6216 data_time: 0.0236 memory: 17350 grad_norm: 6.3915 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0559 loss: 1.0559 2022/07/23 13:35:02 - mmengine - INFO - Epoch(train) [50][880/3757] lr: 1.0000e-03 eta: 1 day, 11:22:52 time: 0.7552 data_time: 0.0205 memory: 17350 grad_norm: 6.1364 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4241 loss: 1.4241 2022/07/23 13:35:14 - mmengine - INFO - Epoch(train) [50][900/3757] lr: 1.0000e-03 eta: 1 day, 11:22:37 time: 0.6173 data_time: 0.0274 memory: 17350 grad_norm: 6.2729 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1842 loss: 1.1842 2022/07/23 13:35:17 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 13:35:27 - mmengine - INFO - Epoch(train) [50][920/3757] lr: 1.0000e-03 eta: 1 day, 11:22:24 time: 0.6461 data_time: 0.0213 memory: 17350 grad_norm: 5.9215 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2664 loss: 1.2664 2022/07/23 13:35:40 - mmengine - INFO - Epoch(train) [50][940/3757] lr: 1.0000e-03 eta: 1 day, 11:22:10 time: 0.6446 data_time: 0.0225 memory: 17350 grad_norm: 6.3300 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2750 loss: 1.2750 2022/07/23 13:35:54 - mmengine - INFO - Epoch(train) [50][960/3757] lr: 1.0000e-03 eta: 1 day, 11:21:58 time: 0.7290 data_time: 0.0264 memory: 17350 grad_norm: 6.4504 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6074 loss: 1.6074 2022/07/23 13:36:07 - mmengine - INFO - Epoch(train) [50][980/3757] lr: 1.0000e-03 eta: 1 day, 11:21:44 time: 0.6356 data_time: 0.0239 memory: 17350 grad_norm: 6.4231 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2197 loss: 1.2197 2022/07/23 13:36:21 - mmengine - INFO - Epoch(train) [50][1000/3757] lr: 1.0000e-03 eta: 1 day, 11:21:31 time: 0.6943 data_time: 0.0229 memory: 17350 grad_norm: 6.3064 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2333 loss: 1.2333 2022/07/23 13:36:34 - mmengine - INFO - Epoch(train) [50][1020/3757] lr: 1.0000e-03 eta: 1 day, 11:21:17 time: 0.6424 data_time: 0.0243 memory: 17350 grad_norm: 6.1419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0970 loss: 1.0970 2022/07/23 13:36:48 - mmengine - INFO - Epoch(train) [50][1040/3757] lr: 1.0000e-03 eta: 1 day, 11:21:05 time: 0.7175 data_time: 0.0281 memory: 17350 grad_norm: 6.4057 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1647 loss: 1.1647 2022/07/23 13:37:01 - mmengine - INFO - Epoch(train) [50][1060/3757] lr: 1.0000e-03 eta: 1 day, 11:20:50 time: 0.6244 data_time: 0.0216 memory: 17350 grad_norm: 6.3311 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2805 loss: 1.2805 2022/07/23 13:37:15 - mmengine - INFO - Epoch(train) [50][1080/3757] lr: 1.0000e-03 eta: 1 day, 11:20:38 time: 0.7160 data_time: 0.0242 memory: 17350 grad_norm: 6.3457 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1872 loss: 1.1872 2022/07/23 13:37:28 - mmengine - INFO - Epoch(train) [50][1100/3757] lr: 1.0000e-03 eta: 1 day, 11:20:24 time: 0.6369 data_time: 0.0232 memory: 17350 grad_norm: 6.4486 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2764 loss: 1.2764 2022/07/23 13:37:42 - mmengine - INFO - Epoch(train) [50][1120/3757] lr: 1.0000e-03 eta: 1 day, 11:20:11 time: 0.7117 data_time: 0.0256 memory: 17350 grad_norm: 6.3922 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4082 loss: 1.4082 2022/07/23 13:37:55 - mmengine - INFO - Epoch(train) [50][1140/3757] lr: 1.0000e-03 eta: 1 day, 11:19:57 time: 0.6342 data_time: 0.0231 memory: 17350 grad_norm: 6.2253 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6046 loss: 1.6046 2022/07/23 13:38:09 - mmengine - INFO - Epoch(train) [50][1160/3757] lr: 1.0000e-03 eta: 1 day, 11:19:45 time: 0.7187 data_time: 0.0229 memory: 17350 grad_norm: 6.3861 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3253 loss: 1.3253 2022/07/23 13:38:21 - mmengine - INFO - Epoch(train) [50][1180/3757] lr: 1.0000e-03 eta: 1 day, 11:19:30 time: 0.5913 data_time: 0.0225 memory: 17350 grad_norm: 6.4002 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4412 loss: 1.4412 2022/07/23 13:38:35 - mmengine - INFO - Epoch(train) [50][1200/3757] lr: 1.0000e-03 eta: 1 day, 11:19:17 time: 0.6833 data_time: 0.0225 memory: 17350 grad_norm: 6.3709 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4404 loss: 1.4404 2022/07/23 13:38:47 - mmengine - INFO - Epoch(train) [50][1220/3757] lr: 1.0000e-03 eta: 1 day, 11:19:03 time: 0.6253 data_time: 0.0252 memory: 17350 grad_norm: 6.2668 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4495 loss: 1.4495 2022/07/23 13:39:02 - mmengine - INFO - Epoch(train) [50][1240/3757] lr: 1.0000e-03 eta: 1 day, 11:18:51 time: 0.7617 data_time: 0.0223 memory: 17350 grad_norm: 6.3094 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1083 loss: 1.1083 2022/07/23 13:39:15 - mmengine - INFO - Epoch(train) [50][1260/3757] lr: 1.0000e-03 eta: 1 day, 11:18:37 time: 0.6290 data_time: 0.0251 memory: 17350 grad_norm: 6.1134 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1592 loss: 1.1592 2022/07/23 13:39:30 - mmengine - INFO - Epoch(train) [50][1280/3757] lr: 1.0000e-03 eta: 1 day, 11:18:26 time: 0.7475 data_time: 0.0252 memory: 17350 grad_norm: 6.2324 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2041 loss: 1.2041 2022/07/23 13:39:42 - mmengine - INFO - Epoch(train) [50][1300/3757] lr: 1.0000e-03 eta: 1 day, 11:18:11 time: 0.5873 data_time: 0.0262 memory: 17350 grad_norm: 6.2419 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3166 loss: 1.3166 2022/07/23 13:39:55 - mmengine - INFO - Epoch(train) [50][1320/3757] lr: 1.0000e-03 eta: 1 day, 11:17:57 time: 0.6683 data_time: 0.0224 memory: 17350 grad_norm: 6.2498 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2249 loss: 1.2249 2022/07/23 13:40:11 - mmengine - INFO - Epoch(train) [50][1340/3757] lr: 1.0000e-03 eta: 1 day, 11:17:46 time: 0.7834 data_time: 0.0264 memory: 17350 grad_norm: 6.5515 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1039 loss: 1.1039 2022/07/23 13:40:25 - mmengine - INFO - Epoch(train) [50][1360/3757] lr: 1.0000e-03 eta: 1 day, 11:17:33 time: 0.6949 data_time: 0.0930 memory: 17350 grad_norm: 6.0957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0841 loss: 1.0841 2022/07/23 13:40:36 - mmengine - INFO - Epoch(train) [50][1380/3757] lr: 1.0000e-03 eta: 1 day, 11:17:18 time: 0.5497 data_time: 0.0371 memory: 17350 grad_norm: 6.3085 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4134 loss: 1.4134 2022/07/23 13:40:51 - mmengine - INFO - Epoch(train) [50][1400/3757] lr: 1.0000e-03 eta: 1 day, 11:17:06 time: 0.7588 data_time: 0.0314 memory: 17350 grad_norm: 6.2235 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.3832 loss: 1.3832 2022/07/23 13:41:03 - mmengine - INFO - Epoch(train) [50][1420/3757] lr: 1.0000e-03 eta: 1 day, 11:16:52 time: 0.6069 data_time: 0.0237 memory: 17350 grad_norm: 6.5611 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5056 loss: 1.5056 2022/07/23 13:41:17 - mmengine - INFO - Epoch(train) [50][1440/3757] lr: 1.0000e-03 eta: 1 day, 11:16:39 time: 0.7199 data_time: 0.0226 memory: 17350 grad_norm: 6.3063 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1479 loss: 1.1479 2022/07/23 13:41:29 - mmengine - INFO - Epoch(train) [50][1460/3757] lr: 1.0000e-03 eta: 1 day, 11:16:24 time: 0.5969 data_time: 0.0235 memory: 17350 grad_norm: 6.4588 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1948 loss: 1.1948 2022/07/23 13:41:43 - mmengine - INFO - Epoch(train) [50][1480/3757] lr: 1.0000e-03 eta: 1 day, 11:16:12 time: 0.7051 data_time: 0.0224 memory: 17350 grad_norm: 6.3163 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3840 loss: 1.3840 2022/07/23 13:41:55 - mmengine - INFO - Epoch(train) [50][1500/3757] lr: 1.0000e-03 eta: 1 day, 11:15:57 time: 0.5949 data_time: 0.0238 memory: 17350 grad_norm: 6.2406 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2746 loss: 1.2746 2022/07/23 13:42:11 - mmengine - INFO - Epoch(train) [50][1520/3757] lr: 1.0000e-03 eta: 1 day, 11:15:46 time: 0.7657 data_time: 0.0260 memory: 17350 grad_norm: 6.3532 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4237 loss: 1.4237 2022/07/23 13:42:23 - mmengine - INFO - Epoch(train) [50][1540/3757] lr: 1.0000e-03 eta: 1 day, 11:15:31 time: 0.6101 data_time: 0.0227 memory: 17350 grad_norm: 6.1929 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0010 loss: 1.0010 2022/07/23 13:42:37 - mmengine - INFO - Epoch(train) [50][1560/3757] lr: 1.0000e-03 eta: 1 day, 11:15:19 time: 0.7176 data_time: 0.0213 memory: 17350 grad_norm: 5.9634 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1365 loss: 1.1365 2022/07/23 13:42:50 - mmengine - INFO - Epoch(train) [50][1580/3757] lr: 1.0000e-03 eta: 1 day, 11:15:04 time: 0.6160 data_time: 0.0227 memory: 17350 grad_norm: 6.5397 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3000 loss: 1.3000 2022/07/23 13:43:05 - mmengine - INFO - Epoch(train) [50][1600/3757] lr: 1.0000e-03 eta: 1 day, 11:14:53 time: 0.7669 data_time: 0.0238 memory: 17350 grad_norm: 6.3298 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2432 loss: 1.2432 2022/07/23 13:43:17 - mmengine - INFO - Epoch(train) [50][1620/3757] lr: 1.0000e-03 eta: 1 day, 11:14:39 time: 0.6264 data_time: 0.0239 memory: 17350 grad_norm: 6.4151 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3540 loss: 1.3540 2022/07/23 13:43:30 - mmengine - INFO - Epoch(train) [50][1640/3757] lr: 1.0000e-03 eta: 1 day, 11:14:24 time: 0.6075 data_time: 0.0217 memory: 17350 grad_norm: 6.2503 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1913 loss: 1.1913 2022/07/23 13:43:44 - mmengine - INFO - Epoch(train) [50][1660/3757] lr: 1.0000e-03 eta: 1 day, 11:14:12 time: 0.7217 data_time: 0.0232 memory: 17350 grad_norm: 6.2535 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0985 loss: 1.0985 2022/07/23 13:43:56 - mmengine - INFO - Epoch(train) [50][1680/3757] lr: 1.0000e-03 eta: 1 day, 11:13:57 time: 0.5856 data_time: 0.0229 memory: 17350 grad_norm: 6.1053 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3161 loss: 1.3161 2022/07/23 13:44:10 - mmengine - INFO - Epoch(train) [50][1700/3757] lr: 1.0000e-03 eta: 1 day, 11:13:44 time: 0.7060 data_time: 0.0530 memory: 17350 grad_norm: 6.3276 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2433 loss: 1.2433 2022/07/23 13:44:25 - mmengine - INFO - Epoch(train) [50][1720/3757] lr: 1.0000e-03 eta: 1 day, 11:13:33 time: 0.7721 data_time: 0.0270 memory: 17350 grad_norm: 6.4339 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2274 loss: 1.2274 2022/07/23 13:44:37 - mmengine - INFO - Epoch(train) [50][1740/3757] lr: 1.0000e-03 eta: 1 day, 11:13:18 time: 0.5985 data_time: 0.0237 memory: 17350 grad_norm: 6.1664 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1083 loss: 1.1083 2022/07/23 13:44:51 - mmengine - INFO - Epoch(train) [50][1760/3757] lr: 1.0000e-03 eta: 1 day, 11:13:06 time: 0.7062 data_time: 0.0217 memory: 17350 grad_norm: 6.4545 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3712 loss: 1.3712 2022/07/23 13:45:04 - mmengine - INFO - Epoch(train) [50][1780/3757] lr: 1.0000e-03 eta: 1 day, 11:12:51 time: 0.6018 data_time: 0.0260 memory: 17350 grad_norm: 6.2558 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1716 loss: 1.1716 2022/07/23 13:45:20 - mmengine - INFO - Epoch(train) [50][1800/3757] lr: 1.0000e-03 eta: 1 day, 11:12:41 time: 0.8292 data_time: 0.0215 memory: 17350 grad_norm: 6.2794 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0753 loss: 1.0753 2022/07/23 13:45:31 - mmengine - INFO - Epoch(train) [50][1820/3757] lr: 1.0000e-03 eta: 1 day, 11:12:25 time: 0.5514 data_time: 0.0242 memory: 17350 grad_norm: 6.2435 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0135 loss: 1.0135 2022/07/23 13:45:46 - mmengine - INFO - Epoch(train) [50][1840/3757] lr: 1.0000e-03 eta: 1 day, 11:12:13 time: 0.7407 data_time: 0.0597 memory: 17350 grad_norm: 6.3394 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3417 loss: 1.3417 2022/07/23 13:45:58 - mmengine - INFO - Epoch(train) [50][1860/3757] lr: 1.0000e-03 eta: 1 day, 11:11:59 time: 0.6041 data_time: 0.1004 memory: 17350 grad_norm: 6.2014 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2640 loss: 1.2640 2022/07/23 13:46:13 - mmengine - INFO - Epoch(train) [50][1880/3757] lr: 1.0000e-03 eta: 1 day, 11:11:47 time: 0.7230 data_time: 0.0474 memory: 17350 grad_norm: 6.5106 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0120 loss: 1.0120 2022/07/23 13:46:25 - mmengine - INFO - Epoch(train) [50][1900/3757] lr: 1.0000e-03 eta: 1 day, 11:11:32 time: 0.6056 data_time: 0.0345 memory: 17350 grad_norm: 6.3057 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4735 loss: 1.4735 2022/07/23 13:46:31 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 13:46:42 - mmengine - INFO - Epoch(train) [50][1920/3757] lr: 1.0000e-03 eta: 1 day, 11:11:22 time: 0.8575 data_time: 0.0220 memory: 17350 grad_norm: 6.3162 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1770 loss: 1.1770 2022/07/23 13:46:54 - mmengine - INFO - Epoch(train) [50][1940/3757] lr: 1.0000e-03 eta: 1 day, 11:11:08 time: 0.6289 data_time: 0.2956 memory: 17350 grad_norm: 6.4689 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3022 loss: 1.3022 2022/07/23 13:47:06 - mmengine - INFO - Epoch(train) [50][1960/3757] lr: 1.0000e-03 eta: 1 day, 11:10:53 time: 0.5732 data_time: 0.2349 memory: 17350 grad_norm: 6.4762 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.0655 loss: 1.0655 2022/07/23 13:47:21 - mmengine - INFO - Epoch(train) [50][1980/3757] lr: 1.0000e-03 eta: 1 day, 11:10:42 time: 0.7715 data_time: 0.3232 memory: 17350 grad_norm: 6.4068 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5552 loss: 1.5552 2022/07/23 13:47:32 - mmengine - INFO - Epoch(train) [50][2000/3757] lr: 1.0000e-03 eta: 1 day, 11:10:26 time: 0.5402 data_time: 0.1823 memory: 17350 grad_norm: 6.6050 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3932 loss: 1.3932 2022/07/23 13:47:47 - mmengine - INFO - Epoch(train) [50][2020/3757] lr: 1.0000e-03 eta: 1 day, 11:10:14 time: 0.7326 data_time: 0.3075 memory: 17350 grad_norm: 6.1568 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1472 loss: 1.1472 2022/07/23 13:47:59 - mmengine - INFO - Epoch(train) [50][2040/3757] lr: 1.0000e-03 eta: 1 day, 11:09:59 time: 0.5920 data_time: 0.1994 memory: 17350 grad_norm: 6.2283 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1338 loss: 1.1338 2022/07/23 13:48:13 - mmengine - INFO - Epoch(train) [50][2060/3757] lr: 1.0000e-03 eta: 1 day, 11:09:47 time: 0.7395 data_time: 0.3260 memory: 17350 grad_norm: 6.4750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5048 loss: 1.5048 2022/07/23 13:48:25 - mmengine - INFO - Epoch(train) [50][2080/3757] lr: 1.0000e-03 eta: 1 day, 11:09:32 time: 0.5972 data_time: 0.2299 memory: 17350 grad_norm: 6.4489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2038 loss: 1.2038 2022/07/23 13:48:39 - mmengine - INFO - Epoch(train) [50][2100/3757] lr: 1.0000e-03 eta: 1 day, 11:09:19 time: 0.6958 data_time: 0.2962 memory: 17350 grad_norm: 6.6182 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4834 loss: 1.4834 2022/07/23 13:48:52 - mmengine - INFO - Epoch(train) [50][2120/3757] lr: 1.0000e-03 eta: 1 day, 11:09:06 time: 0.6570 data_time: 0.2163 memory: 17350 grad_norm: 6.2858 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2127 loss: 1.2127 2022/07/23 13:49:05 - mmengine - INFO - Epoch(train) [50][2140/3757] lr: 1.0000e-03 eta: 1 day, 11:08:52 time: 0.6267 data_time: 0.2148 memory: 17350 grad_norm: 6.2094 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3425 loss: 1.3425 2022/07/23 13:49:21 - mmengine - INFO - Epoch(train) [50][2160/3757] lr: 1.0000e-03 eta: 1 day, 11:08:41 time: 0.7809 data_time: 0.0546 memory: 17350 grad_norm: 6.5745 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3116 loss: 1.3116 2022/07/23 13:49:34 - mmengine - INFO - Epoch(train) [50][2180/3757] lr: 1.0000e-03 eta: 1 day, 11:08:28 time: 0.6834 data_time: 0.0258 memory: 17350 grad_norm: 6.3956 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2171 loss: 1.2171 2022/07/23 13:49:49 - mmengine - INFO - Epoch(train) [50][2200/3757] lr: 1.0000e-03 eta: 1 day, 11:08:15 time: 0.7111 data_time: 0.0230 memory: 17350 grad_norm: 6.4494 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1568 loss: 1.1568 2022/07/23 13:50:00 - mmengine - INFO - Epoch(train) [50][2220/3757] lr: 1.0000e-03 eta: 1 day, 11:08:00 time: 0.5695 data_time: 0.0251 memory: 17350 grad_norm: 6.4262 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3189 loss: 1.3189 2022/07/23 13:50:15 - mmengine - INFO - Epoch(train) [50][2240/3757] lr: 1.0000e-03 eta: 1 day, 11:07:48 time: 0.7282 data_time: 0.0227 memory: 17350 grad_norm: 6.5213 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4649 loss: 1.4649 2022/07/23 13:50:27 - mmengine - INFO - Epoch(train) [50][2260/3757] lr: 1.0000e-03 eta: 1 day, 11:07:33 time: 0.5974 data_time: 0.0241 memory: 17350 grad_norm: 6.3164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3405 loss: 1.3405 2022/07/23 13:50:41 - mmengine - INFO - Epoch(train) [50][2280/3757] lr: 1.0000e-03 eta: 1 day, 11:07:20 time: 0.7150 data_time: 0.0209 memory: 17350 grad_norm: 6.5866 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3571 loss: 1.3571 2022/07/23 13:50:59 - mmengine - INFO - Epoch(train) [50][2300/3757] lr: 1.0000e-03 eta: 1 day, 11:07:12 time: 0.9078 data_time: 0.1084 memory: 17350 grad_norm: 6.6052 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2192 loss: 1.2192 2022/07/23 13:51:15 - mmengine - INFO - Epoch(train) [50][2320/3757] lr: 1.0000e-03 eta: 1 day, 11:07:02 time: 0.8222 data_time: 0.0375 memory: 17350 grad_norm: 6.3900 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5349 loss: 1.5349 2022/07/23 13:51:25 - mmengine - INFO - Epoch(train) [50][2340/3757] lr: 1.0000e-03 eta: 1 day, 11:06:44 time: 0.4735 data_time: 0.0247 memory: 17350 grad_norm: 6.2378 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3826 loss: 1.3826 2022/07/23 13:51:40 - mmengine - INFO - Epoch(train) [50][2360/3757] lr: 1.0000e-03 eta: 1 day, 11:06:33 time: 0.7406 data_time: 0.0159 memory: 17350 grad_norm: 6.3836 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4733 loss: 1.4733 2022/07/23 13:51:51 - mmengine - INFO - Epoch(train) [50][2380/3757] lr: 1.0000e-03 eta: 1 day, 11:06:17 time: 0.5742 data_time: 0.0233 memory: 17350 grad_norm: 6.4620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5662 loss: 1.5662 2022/07/23 13:52:07 - mmengine - INFO - Epoch(train) [50][2400/3757] lr: 1.0000e-03 eta: 1 day, 11:06:06 time: 0.7649 data_time: 0.0227 memory: 17350 grad_norm: 6.1740 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3708 loss: 1.3708 2022/07/23 13:52:19 - mmengine - INFO - Epoch(train) [50][2420/3757] lr: 1.0000e-03 eta: 1 day, 11:05:52 time: 0.6411 data_time: 0.0239 memory: 17350 grad_norm: 6.4221 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4039 loss: 1.4039 2022/07/23 13:52:33 - mmengine - INFO - Epoch(train) [50][2440/3757] lr: 1.0000e-03 eta: 1 day, 11:05:38 time: 0.6629 data_time: 0.0246 memory: 17350 grad_norm: 6.4058 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1495 loss: 1.1495 2022/07/23 13:52:45 - mmengine - INFO - Epoch(train) [50][2460/3757] lr: 1.0000e-03 eta: 1 day, 11:05:24 time: 0.6349 data_time: 0.0282 memory: 17350 grad_norm: 6.4968 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3384 loss: 1.3384 2022/07/23 13:53:00 - mmengine - INFO - Epoch(train) [50][2480/3757] lr: 1.0000e-03 eta: 1 day, 11:05:12 time: 0.7165 data_time: 0.1263 memory: 17350 grad_norm: 6.1493 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3045 loss: 1.3045 2022/07/23 13:53:14 - mmengine - INFO - Epoch(train) [50][2500/3757] lr: 1.0000e-03 eta: 1 day, 11:04:59 time: 0.6937 data_time: 0.0789 memory: 17350 grad_norm: 6.2500 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0923 loss: 1.0923 2022/07/23 13:53:26 - mmengine - INFO - Epoch(train) [50][2520/3757] lr: 1.0000e-03 eta: 1 day, 11:04:45 time: 0.5983 data_time: 0.0256 memory: 17350 grad_norm: 6.4009 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3952 loss: 1.3952 2022/07/23 13:53:39 - mmengine - INFO - Epoch(train) [50][2540/3757] lr: 1.0000e-03 eta: 1 day, 11:04:31 time: 0.6654 data_time: 0.0210 memory: 17350 grad_norm: 6.1664 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1740 loss: 1.1740 2022/07/23 13:53:52 - mmengine - INFO - Epoch(train) [50][2560/3757] lr: 1.0000e-03 eta: 1 day, 11:04:18 time: 0.6615 data_time: 0.0331 memory: 17350 grad_norm: 6.3665 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4594 loss: 1.4594 2022/07/23 13:54:07 - mmengine - INFO - Epoch(train) [50][2580/3757] lr: 1.0000e-03 eta: 1 day, 11:04:06 time: 0.7516 data_time: 0.0221 memory: 17350 grad_norm: 6.5508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3143 loss: 1.3143 2022/07/23 13:54:18 - mmengine - INFO - Epoch(train) [50][2600/3757] lr: 1.0000e-03 eta: 1 day, 11:03:50 time: 0.5634 data_time: 0.0225 memory: 17350 grad_norm: 6.3593 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4847 loss: 1.4847 2022/07/23 13:54:33 - mmengine - INFO - Epoch(train) [50][2620/3757] lr: 1.0000e-03 eta: 1 day, 11:03:38 time: 0.7189 data_time: 0.0224 memory: 17350 grad_norm: 6.5204 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1318 loss: 1.1318 2022/07/23 13:54:45 - mmengine - INFO - Epoch(train) [50][2640/3757] lr: 1.0000e-03 eta: 1 day, 11:03:23 time: 0.5985 data_time: 0.0236 memory: 17350 grad_norm: 6.3489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4353 loss: 1.4353 2022/07/23 13:54:59 - mmengine - INFO - Epoch(train) [50][2660/3757] lr: 1.0000e-03 eta: 1 day, 11:03:11 time: 0.7027 data_time: 0.0314 memory: 17350 grad_norm: 6.3772 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4536 loss: 1.4536 2022/07/23 13:55:12 - mmengine - INFO - Epoch(train) [50][2680/3757] lr: 1.0000e-03 eta: 1 day, 11:02:58 time: 0.6766 data_time: 0.1170 memory: 17350 grad_norm: 6.3410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2143 loss: 1.2143 2022/07/23 13:55:26 - mmengine - INFO - Epoch(train) [50][2700/3757] lr: 1.0000e-03 eta: 1 day, 11:02:44 time: 0.6610 data_time: 0.0225 memory: 17350 grad_norm: 6.5914 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2493 loss: 1.2493 2022/07/23 13:55:39 - mmengine - INFO - Epoch(train) [50][2720/3757] lr: 1.0000e-03 eta: 1 day, 11:02:30 time: 0.6569 data_time: 0.0227 memory: 17350 grad_norm: 6.4619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2030 loss: 1.2030 2022/07/23 13:55:52 - mmengine - INFO - Epoch(train) [50][2740/3757] lr: 1.0000e-03 eta: 1 day, 11:02:17 time: 0.6650 data_time: 0.0695 memory: 17350 grad_norm: 6.4081 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4780 loss: 1.4780 2022/07/23 13:56:07 - mmengine - INFO - Epoch(train) [50][2760/3757] lr: 1.0000e-03 eta: 1 day, 11:02:05 time: 0.7269 data_time: 0.0322 memory: 17350 grad_norm: 6.4063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1406 loss: 1.1406 2022/07/23 13:56:20 - mmengine - INFO - Epoch(train) [50][2780/3757] lr: 1.0000e-03 eta: 1 day, 11:01:51 time: 0.6432 data_time: 0.1470 memory: 17350 grad_norm: 6.3168 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3815 loss: 1.3815 2022/07/23 13:56:33 - mmengine - INFO - Epoch(train) [50][2800/3757] lr: 1.0000e-03 eta: 1 day, 11:01:38 time: 0.6955 data_time: 0.2496 memory: 17350 grad_norm: 6.0114 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2033 loss: 1.2033 2022/07/23 13:56:47 - mmengine - INFO - Epoch(train) [50][2820/3757] lr: 1.0000e-03 eta: 1 day, 11:01:25 time: 0.6838 data_time: 0.1080 memory: 17350 grad_norm: 6.2371 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3115 loss: 1.3115 2022/07/23 13:57:06 - mmengine - INFO - Epoch(train) [50][2840/3757] lr: 1.0000e-03 eta: 1 day, 11:01:17 time: 0.9390 data_time: 0.3873 memory: 17350 grad_norm: 6.6805 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3758 loss: 1.3758 2022/07/23 14:00:54 - mmengine - INFO - Epoch(train) [50][2860/3757] lr: 1.0000e-03 eta: 1 day, 11:04:40 time: 11.3854 data_time: 10.8699 memory: 17350 grad_norm: 6.5563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2575 loss: 1.2575 2022/07/23 14:01:15 - mmengine - INFO - Epoch(train) [50][2880/3757] lr: 1.0000e-03 eta: 1 day, 11:04:35 time: 1.0484 data_time: 0.0453 memory: 17350 grad_norm: 6.3497 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1894 loss: 1.1894 2022/07/23 14:01:28 - mmengine - INFO - Epoch(train) [50][2900/3757] lr: 1.0000e-03 eta: 1 day, 11:04:21 time: 0.6708 data_time: 0.0937 memory: 17350 grad_norm: 6.4496 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3380 loss: 1.3380 2022/07/23 14:01:31 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 14:01:41 - mmengine - INFO - Epoch(train) [50][2920/3757] lr: 1.0000e-03 eta: 1 day, 11:04:08 time: 0.6705 data_time: 0.0303 memory: 17350 grad_norm: 6.4077 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1537 loss: 1.1537 2022/07/23 14:01:55 - mmengine - INFO - Epoch(train) [50][2940/3757] lr: 1.0000e-03 eta: 1 day, 11:03:54 time: 0.6509 data_time: 0.0781 memory: 17350 grad_norm: 6.2108 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3447 loss: 1.3447 2022/07/23 14:02:09 - mmengine - INFO - Epoch(train) [50][2960/3757] lr: 1.0000e-03 eta: 1 day, 11:03:42 time: 0.7082 data_time: 0.0245 memory: 17350 grad_norm: 6.4920 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2840 loss: 1.2840 2022/07/23 14:02:23 - mmengine - INFO - Epoch(train) [50][2980/3757] lr: 1.0000e-03 eta: 1 day, 11:03:29 time: 0.7051 data_time: 0.0218 memory: 17350 grad_norm: 6.5681 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4446 loss: 1.4446 2022/07/23 14:02:35 - mmengine - INFO - Epoch(train) [50][3000/3757] lr: 1.0000e-03 eta: 1 day, 11:03:14 time: 0.5967 data_time: 0.0242 memory: 17350 grad_norm: 6.4503 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2652 loss: 1.2652 2022/07/23 14:02:49 - mmengine - INFO - Epoch(train) [50][3020/3757] lr: 1.0000e-03 eta: 1 day, 11:03:01 time: 0.7043 data_time: 0.0223 memory: 17350 grad_norm: 6.6066 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2149 loss: 1.2149 2022/07/23 14:03:01 - mmengine - INFO - Epoch(train) [50][3040/3757] lr: 1.0000e-03 eta: 1 day, 11:02:47 time: 0.6108 data_time: 0.0230 memory: 17350 grad_norm: 6.2923 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2475 loss: 1.2475 2022/07/23 14:03:16 - mmengine - INFO - Epoch(train) [50][3060/3757] lr: 1.0000e-03 eta: 1 day, 11:02:36 time: 0.7686 data_time: 0.0219 memory: 17350 grad_norm: 6.5353 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4058 loss: 1.4058 2022/07/23 14:03:28 - mmengine - INFO - Epoch(train) [50][3080/3757] lr: 1.0000e-03 eta: 1 day, 11:02:20 time: 0.5586 data_time: 0.0231 memory: 17350 grad_norm: 6.2611 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2228 loss: 1.2228 2022/07/23 14:03:43 - mmengine - INFO - Epoch(train) [50][3100/3757] lr: 1.0000e-03 eta: 1 day, 11:02:08 time: 0.7535 data_time: 0.0308 memory: 17350 grad_norm: 6.5015 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2104 loss: 1.2104 2022/07/23 14:03:55 - mmengine - INFO - Epoch(train) [50][3120/3757] lr: 1.0000e-03 eta: 1 day, 11:01:54 time: 0.6136 data_time: 0.0275 memory: 17350 grad_norm: 6.2261 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2851 loss: 1.2851 2022/07/23 14:04:09 - mmengine - INFO - Epoch(train) [50][3140/3757] lr: 1.0000e-03 eta: 1 day, 11:01:41 time: 0.6861 data_time: 0.0216 memory: 17350 grad_norm: 6.1229 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3714 loss: 1.3714 2022/07/23 14:04:21 - mmengine - INFO - Epoch(train) [50][3160/3757] lr: 1.0000e-03 eta: 1 day, 11:01:26 time: 0.6144 data_time: 0.0338 memory: 17350 grad_norm: 6.3500 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1325 loss: 1.1325 2022/07/23 14:04:36 - mmengine - INFO - Epoch(train) [50][3180/3757] lr: 1.0000e-03 eta: 1 day, 11:01:15 time: 0.7539 data_time: 0.0217 memory: 17350 grad_norm: 6.0691 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2134 loss: 1.2134 2022/07/23 14:04:48 - mmengine - INFO - Epoch(train) [50][3200/3757] lr: 1.0000e-03 eta: 1 day, 11:01:00 time: 0.6024 data_time: 0.0239 memory: 17350 grad_norm: 6.4741 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4406 loss: 1.4406 2022/07/23 14:05:02 - mmengine - INFO - Epoch(train) [50][3220/3757] lr: 1.0000e-03 eta: 1 day, 11:00:46 time: 0.6702 data_time: 0.0220 memory: 17350 grad_norm: 6.3061 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1310 loss: 1.1310 2022/07/23 14:05:14 - mmengine - INFO - Epoch(train) [50][3240/3757] lr: 1.0000e-03 eta: 1 day, 11:00:32 time: 0.6311 data_time: 0.0260 memory: 17350 grad_norm: 6.5654 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3850 loss: 1.3850 2022/07/23 14:05:29 - mmengine - INFO - Epoch(train) [50][3260/3757] lr: 1.0000e-03 eta: 1 day, 11:00:20 time: 0.7408 data_time: 0.0327 memory: 17350 grad_norm: 6.3112 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1622 loss: 1.1622 2022/07/23 14:05:42 - mmengine - INFO - Epoch(train) [50][3280/3757] lr: 1.0000e-03 eta: 1 day, 11:00:06 time: 0.6352 data_time: 0.0234 memory: 17350 grad_norm: 6.3753 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3408 loss: 1.3408 2022/07/23 14:05:56 - mmengine - INFO - Epoch(train) [50][3300/3757] lr: 1.0000e-03 eta: 1 day, 10:59:54 time: 0.7294 data_time: 0.0222 memory: 17350 grad_norm: 6.4934 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2080 loss: 1.2080 2022/07/23 14:06:09 - mmengine - INFO - Epoch(train) [50][3320/3757] lr: 1.0000e-03 eta: 1 day, 10:59:39 time: 0.6059 data_time: 0.0243 memory: 17350 grad_norm: 6.4736 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1953 loss: 1.1953 2022/07/23 14:06:22 - mmengine - INFO - Epoch(train) [50][3340/3757] lr: 1.0000e-03 eta: 1 day, 10:59:26 time: 0.6609 data_time: 0.0225 memory: 17350 grad_norm: 6.3391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0008 loss: 1.0008 2022/07/23 14:06:34 - mmengine - INFO - Epoch(train) [50][3360/3757] lr: 1.0000e-03 eta: 1 day, 10:59:11 time: 0.6097 data_time: 0.0236 memory: 17350 grad_norm: 6.2692 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2644 loss: 1.2644 2022/07/23 14:06:49 - mmengine - INFO - Epoch(train) [50][3380/3757] lr: 1.0000e-03 eta: 1 day, 10:58:59 time: 0.7367 data_time: 0.0246 memory: 17350 grad_norm: 6.2533 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4048 loss: 1.4048 2022/07/23 14:07:01 - mmengine - INFO - Epoch(train) [50][3400/3757] lr: 1.0000e-03 eta: 1 day, 10:58:45 time: 0.6165 data_time: 0.0244 memory: 17350 grad_norm: 6.5196 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4626 loss: 1.4626 2022/07/23 14:07:17 - mmengine - INFO - Epoch(train) [50][3420/3757] lr: 1.0000e-03 eta: 1 day, 10:58:34 time: 0.8022 data_time: 0.0224 memory: 17350 grad_norm: 6.5376 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1439 loss: 1.1439 2022/07/23 14:07:29 - mmengine - INFO - Epoch(train) [50][3440/3757] lr: 1.0000e-03 eta: 1 day, 10:58:19 time: 0.5858 data_time: 0.0343 memory: 17350 grad_norm: 6.3611 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2575 loss: 1.2575 2022/07/23 14:07:43 - mmengine - INFO - Epoch(train) [50][3460/3757] lr: 1.0000e-03 eta: 1 day, 10:58:07 time: 0.7199 data_time: 0.0254 memory: 17350 grad_norm: 6.2641 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1667 loss: 1.1667 2022/07/23 14:07:55 - mmengine - INFO - Epoch(train) [50][3480/3757] lr: 1.0000e-03 eta: 1 day, 10:57:52 time: 0.5926 data_time: 0.0229 memory: 17350 grad_norm: 6.3674 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3446 loss: 1.3446 2022/07/23 14:08:09 - mmengine - INFO - Epoch(train) [50][3500/3757] lr: 1.0000e-03 eta: 1 day, 10:57:39 time: 0.6897 data_time: 0.0232 memory: 17350 grad_norm: 6.3697 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4743 loss: 1.4743 2022/07/23 14:08:21 - mmengine - INFO - Epoch(train) [50][3520/3757] lr: 1.0000e-03 eta: 1 day, 10:57:24 time: 0.6031 data_time: 0.0246 memory: 17350 grad_norm: 6.1840 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1958 loss: 1.1958 2022/07/23 14:08:36 - mmengine - INFO - Epoch(train) [50][3540/3757] lr: 1.0000e-03 eta: 1 day, 10:57:12 time: 0.7513 data_time: 0.0491 memory: 17350 grad_norm: 6.1658 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2155 loss: 1.2155 2022/07/23 14:08:50 - mmengine - INFO - Epoch(train) [50][3560/3757] lr: 1.0000e-03 eta: 1 day, 10:57:00 time: 0.6935 data_time: 0.2043 memory: 17350 grad_norm: 6.3626 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2732 loss: 1.2732 2022/07/23 14:09:03 - mmengine - INFO - Epoch(train) [50][3580/3757] lr: 1.0000e-03 eta: 1 day, 10:56:46 time: 0.6720 data_time: 0.0775 memory: 17350 grad_norm: 6.3454 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4448 loss: 1.4448 2022/07/23 14:09:15 - mmengine - INFO - Epoch(train) [50][3600/3757] lr: 1.0000e-03 eta: 1 day, 10:56:32 time: 0.6069 data_time: 0.0605 memory: 17350 grad_norm: 6.3410 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3287 loss: 1.3287 2022/07/23 14:09:30 - mmengine - INFO - Epoch(train) [50][3620/3757] lr: 1.0000e-03 eta: 1 day, 10:56:20 time: 0.7384 data_time: 0.0349 memory: 17350 grad_norm: 6.4798 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3224 loss: 1.3224 2022/07/23 14:09:42 - mmengine - INFO - Epoch(train) [50][3640/3757] lr: 1.0000e-03 eta: 1 day, 10:56:05 time: 0.6107 data_time: 0.0544 memory: 17350 grad_norm: 6.5032 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2729 loss: 1.2729 2022/07/23 14:09:56 - mmengine - INFO - Epoch(train) [50][3660/3757] lr: 1.0000e-03 eta: 1 day, 10:55:52 time: 0.6638 data_time: 0.1593 memory: 17350 grad_norm: 6.5032 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0857 loss: 1.0857 2022/07/23 14:10:10 - mmengine - INFO - Epoch(train) [50][3680/3757] lr: 1.0000e-03 eta: 1 day, 10:55:39 time: 0.7110 data_time: 0.3681 memory: 17350 grad_norm: 6.4823 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0555 loss: 1.0555 2022/07/23 14:10:26 - mmengine - INFO - Epoch(train) [50][3700/3757] lr: 1.0000e-03 eta: 1 day, 10:55:28 time: 0.7880 data_time: 0.1897 memory: 17350 grad_norm: 6.3442 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3281 loss: 1.3281 2022/07/23 14:10:37 - mmengine - INFO - Epoch(train) [50][3720/3757] lr: 1.0000e-03 eta: 1 day, 10:55:13 time: 0.5633 data_time: 0.0219 memory: 17350 grad_norm: 6.1416 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3277 loss: 1.3277 2022/07/23 14:10:51 - mmengine - INFO - Epoch(train) [50][3740/3757] lr: 1.0000e-03 eta: 1 day, 10:54:59 time: 0.6788 data_time: 0.0213 memory: 17350 grad_norm: 6.4826 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3474 loss: 1.3474 2022/07/23 14:10:59 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 14:10:59 - mmengine - INFO - Epoch(train) [50][3757/3757] lr: 1.0000e-03 eta: 1 day, 10:54:59 time: 0.5177 data_time: 0.0248 memory: 17350 grad_norm: 6.7250 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.6148 loss: 1.6148 2022/07/23 14:10:59 - mmengine - INFO - Saving checkpoint at 50 epochs 2022/07/23 14:11:19 - mmengine - INFO - Epoch(val) [50][20/310] eta: 0:04:05 time: 0.8477 data_time: 0.7345 memory: 3406 2022/07/23 14:11:30 - mmengine - INFO - Epoch(val) [50][40/310] eta: 0:02:23 time: 0.5319 data_time: 0.4163 memory: 3406 2022/07/23 14:11:46 - mmengine - INFO - Epoch(val) [50][60/310] eta: 0:03:20 time: 0.8003 data_time: 0.6864 memory: 3406 2022/07/23 14:11:58 - mmengine - INFO - Epoch(val) [50][80/310] eta: 0:02:18 time: 0.6043 data_time: 0.4916 memory: 3406 2022/07/23 14:12:11 - mmengine - INFO - Epoch(val) [50][100/310] eta: 0:02:17 time: 0.6526 data_time: 0.5393 memory: 3406 2022/07/23 14:12:23 - mmengine - INFO - Epoch(val) [50][120/310] eta: 0:01:53 time: 0.5974 data_time: 0.4801 memory: 3406 2022/07/23 14:12:36 - mmengine - INFO - Epoch(val) [50][140/310] eta: 0:01:53 time: 0.6658 data_time: 0.5530 memory: 3406 2022/07/23 14:12:49 - mmengine - INFO - Epoch(val) [50][160/310] eta: 0:01:37 time: 0.6509 data_time: 0.5359 memory: 3406 2022/07/23 14:13:03 - mmengine - INFO - Epoch(val) [50][180/310] eta: 0:01:30 time: 0.6973 data_time: 0.5828 memory: 3406 2022/07/23 14:13:16 - mmengine - INFO - Epoch(val) [50][200/310] eta: 0:01:11 time: 0.6537 data_time: 0.5395 memory: 3406 2022/07/23 14:13:29 - mmengine - INFO - Epoch(val) [50][220/310] eta: 0:00:55 time: 0.6219 data_time: 0.5097 memory: 3406 2022/07/23 14:13:42 - mmengine - INFO - Epoch(val) [50][240/310] eta: 0:00:45 time: 0.6520 data_time: 0.5398 memory: 3406 2022/07/23 14:13:53 - mmengine - INFO - Epoch(val) [50][260/310] eta: 0:00:27 time: 0.5563 data_time: 0.4441 memory: 3406 2022/07/23 14:14:07 - mmengine - INFO - Epoch(val) [50][280/310] eta: 0:00:21 time: 0.7305 data_time: 0.6157 memory: 3406 2022/07/23 14:14:21 - mmengine - INFO - Epoch(val) [50][300/310] eta: 0:00:06 time: 0.6976 data_time: 0.5830 memory: 3406 2022/07/23 14:14:30 - mmengine - INFO - Epoch(val) [50][310/310] acc/top1: 0.6735 acc/top5: 0.8706 acc/mean1: 0.6734 2022/07/23 14:14:30 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_49.pth is removed 2022/07/23 14:14:32 - mmengine - INFO - The best checkpoint with 0.6735 acc/top1 at 51 epoch is saved to best_acc/top1_epoch_51.pth. 2022/07/23 14:14:51 - mmengine - INFO - Epoch(train) [51][20/3757] lr: 1.0000e-03 eta: 1 day, 10:54:28 time: 0.9282 data_time: 0.5939 memory: 17350 grad_norm: 6.3280 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3299 loss: 1.3299 2022/07/23 14:15:02 - mmengine - INFO - Epoch(train) [51][40/3757] lr: 1.0000e-03 eta: 1 day, 10:54:13 time: 0.5594 data_time: 0.2279 memory: 17350 grad_norm: 6.1391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1836 loss: 1.1836 2022/07/23 14:15:17 - mmengine - INFO - Epoch(train) [51][60/3757] lr: 1.0000e-03 eta: 1 day, 10:54:01 time: 0.7422 data_time: 0.4208 memory: 17350 grad_norm: 6.3829 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4277 loss: 1.4277 2022/07/23 14:15:29 - mmengine - INFO - Epoch(train) [51][80/3757] lr: 1.0000e-03 eta: 1 day, 10:53:47 time: 0.6188 data_time: 0.2986 memory: 17350 grad_norm: 6.5022 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3087 loss: 1.3087 2022/07/23 14:15:44 - mmengine - INFO - Epoch(train) [51][100/3757] lr: 1.0000e-03 eta: 1 day, 10:53:34 time: 0.7189 data_time: 0.2785 memory: 17350 grad_norm: 6.2565 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4934 loss: 1.4934 2022/07/23 14:15:58 - mmengine - INFO - Epoch(train) [51][120/3757] lr: 1.0000e-03 eta: 1 day, 10:53:22 time: 0.7375 data_time: 0.4055 memory: 17350 grad_norm: 6.4099 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2701 loss: 1.2701 2022/07/23 14:16:12 - mmengine - INFO - Epoch(train) [51][140/3757] lr: 1.0000e-03 eta: 1 day, 10:53:09 time: 0.6740 data_time: 0.3393 memory: 17350 grad_norm: 6.4978 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4403 loss: 1.4403 2022/07/23 14:16:17 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 14:16:25 - mmengine - INFO - Epoch(train) [51][160/3757] lr: 1.0000e-03 eta: 1 day, 10:52:55 time: 0.6662 data_time: 0.3335 memory: 17350 grad_norm: 6.4498 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2364 loss: 1.2364 2022/07/23 14:16:37 - mmengine - INFO - Epoch(train) [51][180/3757] lr: 1.0000e-03 eta: 1 day, 10:52:40 time: 0.5755 data_time: 0.2428 memory: 17350 grad_norm: 6.4182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5246 loss: 1.5246 2022/07/23 14:16:51 - mmengine - INFO - Epoch(train) [51][200/3757] lr: 1.0000e-03 eta: 1 day, 10:52:28 time: 0.7190 data_time: 0.3870 memory: 17350 grad_norm: 6.2021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3520 loss: 1.3520 2022/07/23 14:17:02 - mmengine - INFO - Epoch(train) [51][220/3757] lr: 1.0000e-03 eta: 1 day, 10:52:12 time: 0.5537 data_time: 0.1583 memory: 17350 grad_norm: 6.5002 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4581 loss: 1.4581 2022/07/23 14:17:17 - mmengine - INFO - Epoch(train) [51][240/3757] lr: 1.0000e-03 eta: 1 day, 10:52:00 time: 0.7535 data_time: 0.2944 memory: 17350 grad_norm: 6.4365 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4990 loss: 1.4990 2022/07/23 14:17:30 - mmengine - INFO - Epoch(train) [51][260/3757] lr: 1.0000e-03 eta: 1 day, 10:51:46 time: 0.6319 data_time: 0.2088 memory: 17350 grad_norm: 6.3705 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4102 loss: 1.4102 2022/07/23 14:17:45 - mmengine - INFO - Epoch(train) [51][280/3757] lr: 1.0000e-03 eta: 1 day, 10:51:34 time: 0.7450 data_time: 0.2997 memory: 17350 grad_norm: 6.0982 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1030 loss: 1.1030 2022/07/23 14:17:57 - mmengine - INFO - Epoch(train) [51][300/3757] lr: 1.0000e-03 eta: 1 day, 10:51:19 time: 0.5889 data_time: 0.1374 memory: 17350 grad_norm: 6.2812 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0945 loss: 1.0945 2022/07/23 14:18:10 - mmengine - INFO - Epoch(train) [51][320/3757] lr: 1.0000e-03 eta: 1 day, 10:51:06 time: 0.6694 data_time: 0.1899 memory: 17350 grad_norm: 6.4727 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3704 loss: 1.3704 2022/07/23 14:18:23 - mmengine - INFO - Epoch(train) [51][340/3757] lr: 1.0000e-03 eta: 1 day, 10:50:53 time: 0.6677 data_time: 0.1063 memory: 17350 grad_norm: 6.0644 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1315 loss: 1.1315 2022/07/23 14:18:37 - mmengine - INFO - Epoch(train) [51][360/3757] lr: 1.0000e-03 eta: 1 day, 10:50:39 time: 0.6740 data_time: 0.0495 memory: 17350 grad_norm: 6.2075 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2651 loss: 1.2651 2022/07/23 14:18:51 - mmengine - INFO - Epoch(train) [51][380/3757] lr: 1.0000e-03 eta: 1 day, 10:50:26 time: 0.6949 data_time: 0.0224 memory: 17350 grad_norm: 6.2661 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3245 loss: 1.3245 2022/07/23 14:19:03 - mmengine - INFO - Epoch(train) [51][400/3757] lr: 1.0000e-03 eta: 1 day, 10:50:11 time: 0.5865 data_time: 0.0330 memory: 17350 grad_norm: 6.5608 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3492 loss: 1.3492 2022/07/23 14:19:17 - mmengine - INFO - Epoch(train) [51][420/3757] lr: 1.0000e-03 eta: 1 day, 10:49:59 time: 0.7334 data_time: 0.0211 memory: 17350 grad_norm: 6.4772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1802 loss: 1.1802 2022/07/23 14:19:30 - mmengine - INFO - Epoch(train) [51][440/3757] lr: 1.0000e-03 eta: 1 day, 10:49:45 time: 0.6186 data_time: 0.0771 memory: 17350 grad_norm: 6.7399 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3880 loss: 1.3880 2022/07/23 14:19:44 - mmengine - INFO - Epoch(train) [51][460/3757] lr: 1.0000e-03 eta: 1 day, 10:49:33 time: 0.7262 data_time: 0.0300 memory: 17350 grad_norm: 6.5859 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0678 loss: 1.0678 2022/07/23 14:19:57 - mmengine - INFO - Epoch(train) [51][480/3757] lr: 1.0000e-03 eta: 1 day, 10:49:19 time: 0.6316 data_time: 0.0220 memory: 17350 grad_norm: 6.4141 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3676 loss: 1.3676 2022/07/23 14:20:11 - mmengine - INFO - Epoch(train) [51][500/3757] lr: 1.0000e-03 eta: 1 day, 10:49:06 time: 0.7003 data_time: 0.0323 memory: 17350 grad_norm: 6.5088 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1863 loss: 1.1863 2022/07/23 14:20:24 - mmengine - INFO - Epoch(train) [51][520/3757] lr: 1.0000e-03 eta: 1 day, 10:48:52 time: 0.6496 data_time: 0.0496 memory: 17350 grad_norm: 6.4057 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2875 loss: 1.2875 2022/07/23 14:20:39 - mmengine - INFO - Epoch(train) [51][540/3757] lr: 1.0000e-03 eta: 1 day, 10:48:40 time: 0.7488 data_time: 0.1320 memory: 17350 grad_norm: 6.3747 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2865 loss: 1.2865 2022/07/23 14:20:51 - mmengine - INFO - Epoch(train) [51][560/3757] lr: 1.0000e-03 eta: 1 day, 10:48:26 time: 0.6066 data_time: 0.0392 memory: 17350 grad_norm: 6.3467 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1619 loss: 1.1619 2022/07/23 14:21:05 - mmengine - INFO - Epoch(train) [51][580/3757] lr: 1.0000e-03 eta: 1 day, 10:48:13 time: 0.7250 data_time: 0.0614 memory: 17350 grad_norm: 6.5647 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3368 loss: 1.3368 2022/07/23 14:21:17 - mmengine - INFO - Epoch(train) [51][600/3757] lr: 1.0000e-03 eta: 1 day, 10:47:58 time: 0.5873 data_time: 0.1252 memory: 17350 grad_norm: 6.3245 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1611 loss: 1.1611 2022/07/23 14:21:32 - mmengine - INFO - Epoch(train) [51][620/3757] lr: 1.0000e-03 eta: 1 day, 10:47:46 time: 0.7164 data_time: 0.2748 memory: 17350 grad_norm: 6.6786 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5304 loss: 1.5304 2022/07/23 14:21:44 - mmengine - INFO - Epoch(train) [51][640/3757] lr: 1.0000e-03 eta: 1 day, 10:47:31 time: 0.6031 data_time: 0.2476 memory: 17350 grad_norm: 6.3444 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3735 loss: 1.3735 2022/07/23 14:21:59 - mmengine - INFO - Epoch(train) [51][660/3757] lr: 1.0000e-03 eta: 1 day, 10:47:20 time: 0.7672 data_time: 0.2741 memory: 17350 grad_norm: 6.4265 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1020 loss: 1.1020 2022/07/23 14:22:11 - mmengine - INFO - Epoch(train) [51][680/3757] lr: 1.0000e-03 eta: 1 day, 10:47:05 time: 0.5800 data_time: 0.0628 memory: 17350 grad_norm: 6.3787 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3400 loss: 1.3400 2022/07/23 14:22:25 - mmengine - INFO - Epoch(train) [51][700/3757] lr: 1.0000e-03 eta: 1 day, 10:46:52 time: 0.7100 data_time: 0.1963 memory: 17350 grad_norm: 6.3483 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4131 loss: 1.4131 2022/07/23 14:22:38 - mmengine - INFO - Epoch(train) [51][720/3757] lr: 1.0000e-03 eta: 1 day, 10:46:38 time: 0.6462 data_time: 0.3135 memory: 17350 grad_norm: 6.6378 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6100 loss: 1.6100 2022/07/23 14:22:53 - mmengine - INFO - Epoch(train) [51][740/3757] lr: 1.0000e-03 eta: 1 day, 10:46:27 time: 0.7642 data_time: 0.4280 memory: 17350 grad_norm: 6.3908 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4600 loss: 1.4600 2022/07/23 14:23:06 - mmengine - INFO - Epoch(train) [51][760/3757] lr: 1.0000e-03 eta: 1 day, 10:46:13 time: 0.6255 data_time: 0.2797 memory: 17350 grad_norm: 6.7178 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5554 loss: 1.5554 2022/07/23 14:23:20 - mmengine - INFO - Epoch(train) [51][780/3757] lr: 1.0000e-03 eta: 1 day, 10:46:00 time: 0.7222 data_time: 0.3397 memory: 17350 grad_norm: 6.6401 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2521 loss: 1.2521 2022/07/23 14:23:32 - mmengine - INFO - Epoch(train) [51][800/3757] lr: 1.0000e-03 eta: 1 day, 10:45:46 time: 0.6141 data_time: 0.2604 memory: 17350 grad_norm: 6.4430 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4583 loss: 1.4583 2022/07/23 14:23:46 - mmengine - INFO - Epoch(train) [51][820/3757] lr: 1.0000e-03 eta: 1 day, 10:45:32 time: 0.6742 data_time: 0.3131 memory: 17350 grad_norm: 6.4369 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2387 loss: 1.2387 2022/07/23 14:23:59 - mmengine - INFO - Epoch(train) [51][840/3757] lr: 1.0000e-03 eta: 1 day, 10:45:19 time: 0.6701 data_time: 0.2212 memory: 17350 grad_norm: 6.4037 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3000 loss: 1.3000 2022/07/23 14:24:12 - mmengine - INFO - Epoch(train) [51][860/3757] lr: 1.0000e-03 eta: 1 day, 10:45:05 time: 0.6474 data_time: 0.2758 memory: 17350 grad_norm: 6.6719 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2239 loss: 1.2239 2022/07/23 14:24:26 - mmengine - INFO - Epoch(train) [51][880/3757] lr: 1.0000e-03 eta: 1 day, 10:44:53 time: 0.7131 data_time: 0.0523 memory: 17350 grad_norm: 6.2452 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2325 loss: 1.2325 2022/07/23 14:24:39 - mmengine - INFO - Epoch(train) [51][900/3757] lr: 1.0000e-03 eta: 1 day, 10:44:39 time: 0.6489 data_time: 0.1848 memory: 17350 grad_norm: 6.2788 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4396 loss: 1.4396 2022/07/23 14:24:52 - mmengine - INFO - Epoch(train) [51][920/3757] lr: 1.0000e-03 eta: 1 day, 10:44:25 time: 0.6421 data_time: 0.1117 memory: 17350 grad_norm: 6.2133 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0535 loss: 1.0535 2022/07/23 14:25:07 - mmengine - INFO - Epoch(train) [51][940/3757] lr: 1.0000e-03 eta: 1 day, 10:44:13 time: 0.7187 data_time: 0.2526 memory: 17350 grad_norm: 6.5291 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2680 loss: 1.2680 2022/07/23 14:25:19 - mmengine - INFO - Epoch(train) [51][960/3757] lr: 1.0000e-03 eta: 1 day, 10:43:58 time: 0.6142 data_time: 0.2232 memory: 17350 grad_norm: 5.9844 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4075 loss: 1.4075 2022/07/23 14:25:34 - mmengine - INFO - Epoch(train) [51][980/3757] lr: 1.0000e-03 eta: 1 day, 10:43:46 time: 0.7270 data_time: 0.2628 memory: 17350 grad_norm: 6.3185 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2388 loss: 1.2388 2022/07/23 14:25:47 - mmengine - INFO - Epoch(train) [51][1000/3757] lr: 1.0000e-03 eta: 1 day, 10:43:32 time: 0.6474 data_time: 0.2860 memory: 17350 grad_norm: 6.1845 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4341 loss: 1.4341 2022/07/23 14:26:00 - mmengine - INFO - Epoch(train) [51][1020/3757] lr: 1.0000e-03 eta: 1 day, 10:43:19 time: 0.6602 data_time: 0.3273 memory: 17350 grad_norm: 6.3389 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1376 loss: 1.1376 2022/07/23 14:26:13 - mmengine - INFO - Epoch(train) [51][1040/3757] lr: 1.0000e-03 eta: 1 day, 10:43:05 time: 0.6400 data_time: 0.3061 memory: 17350 grad_norm: 6.3738 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1281 loss: 1.1281 2022/07/23 14:26:26 - mmengine - INFO - Epoch(train) [51][1060/3757] lr: 1.0000e-03 eta: 1 day, 10:42:51 time: 0.6657 data_time: 0.3287 memory: 17350 grad_norm: 6.6144 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7169 loss: 1.7169 2022/07/23 14:26:38 - mmengine - INFO - Epoch(train) [51][1080/3757] lr: 1.0000e-03 eta: 1 day, 10:42:36 time: 0.5928 data_time: 0.2576 memory: 17350 grad_norm: 6.2867 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1241 loss: 1.1241 2022/07/23 14:26:52 - mmengine - INFO - Epoch(train) [51][1100/3757] lr: 1.0000e-03 eta: 1 day, 10:42:24 time: 0.7250 data_time: 0.3920 memory: 17350 grad_norm: 6.3708 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2844 loss: 1.2844 2022/07/23 14:27:05 - mmengine - INFO - Epoch(train) [51][1120/3757] lr: 1.0000e-03 eta: 1 day, 10:42:10 time: 0.6282 data_time: 0.2938 memory: 17350 grad_norm: 6.0657 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2333 loss: 1.2333 2022/07/23 14:27:19 - mmengine - INFO - Epoch(train) [51][1140/3757] lr: 1.0000e-03 eta: 1 day, 10:41:58 time: 0.7284 data_time: 0.3757 memory: 17350 grad_norm: 6.2318 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2722 loss: 1.2722 2022/07/23 14:27:26 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 14:27:31 - mmengine - INFO - Epoch(train) [51][1160/3757] lr: 1.0000e-03 eta: 1 day, 10:41:43 time: 0.5995 data_time: 0.2479 memory: 17350 grad_norm: 6.5042 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5568 loss: 1.5568 2022/07/23 14:27:45 - mmengine - INFO - Epoch(train) [51][1180/3757] lr: 1.0000e-03 eta: 1 day, 10:41:30 time: 0.6754 data_time: 0.3379 memory: 17350 grad_norm: 6.5252 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4288 loss: 1.4288 2022/07/23 14:27:57 - mmengine - INFO - Epoch(train) [51][1200/3757] lr: 1.0000e-03 eta: 1 day, 10:41:15 time: 0.6269 data_time: 0.0827 memory: 17350 grad_norm: 6.5047 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2020 loss: 1.2020 2022/07/23 14:28:13 - mmengine - INFO - Epoch(train) [51][1220/3757] lr: 1.0000e-03 eta: 1 day, 10:41:04 time: 0.7535 data_time: 0.0294 memory: 17350 grad_norm: 6.0890 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1808 loss: 1.1808 2022/07/23 14:28:25 - mmengine - INFO - Epoch(train) [51][1240/3757] lr: 1.0000e-03 eta: 1 day, 10:40:50 time: 0.6288 data_time: 0.0243 memory: 17350 grad_norm: 6.3768 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0842 loss: 1.0842 2022/07/23 14:28:40 - mmengine - INFO - Epoch(train) [51][1260/3757] lr: 1.0000e-03 eta: 1 day, 10:40:38 time: 0.7541 data_time: 0.0240 memory: 17350 grad_norm: 6.3643 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3511 loss: 1.3511 2022/07/23 14:28:52 - mmengine - INFO - Epoch(train) [51][1280/3757] lr: 1.0000e-03 eta: 1 day, 10:40:23 time: 0.5822 data_time: 0.0224 memory: 17350 grad_norm: 6.4643 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2881 loss: 1.2881 2022/07/23 14:29:06 - mmengine - INFO - Epoch(train) [51][1300/3757] lr: 1.0000e-03 eta: 1 day, 10:40:10 time: 0.6842 data_time: 0.0254 memory: 17350 grad_norm: 6.8390 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2750 loss: 1.2750 2022/07/23 14:29:17 - mmengine - INFO - Epoch(train) [51][1320/3757] lr: 1.0000e-03 eta: 1 day, 10:39:55 time: 0.5885 data_time: 0.0235 memory: 17350 grad_norm: 6.5388 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0557 loss: 1.0557 2022/07/23 14:29:33 - mmengine - INFO - Epoch(train) [51][1340/3757] lr: 1.0000e-03 eta: 1 day, 10:39:44 time: 0.7895 data_time: 0.0217 memory: 17350 grad_norm: 6.5116 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4909 loss: 1.4909 2022/07/23 14:29:44 - mmengine - INFO - Epoch(train) [51][1360/3757] lr: 1.0000e-03 eta: 1 day, 10:39:28 time: 0.5601 data_time: 0.0227 memory: 17350 grad_norm: 6.3913 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3682 loss: 1.3682 2022/07/23 14:30:00 - mmengine - INFO - Epoch(train) [51][1380/3757] lr: 1.0000e-03 eta: 1 day, 10:39:17 time: 0.7729 data_time: 0.0246 memory: 17350 grad_norm: 6.6712 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4669 loss: 1.4669 2022/07/23 14:30:13 - mmengine - INFO - Epoch(train) [51][1400/3757] lr: 1.0000e-03 eta: 1 day, 10:39:03 time: 0.6431 data_time: 0.0220 memory: 17350 grad_norm: 6.3934 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2120 loss: 1.2120 2022/07/23 14:30:26 - mmengine - INFO - Epoch(train) [51][1420/3757] lr: 1.0000e-03 eta: 1 day, 10:38:50 time: 0.6877 data_time: 0.0215 memory: 17350 grad_norm: 6.5356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3252 loss: 1.3252 2022/07/23 14:30:39 - mmengine - INFO - Epoch(train) [51][1440/3757] lr: 1.0000e-03 eta: 1 day, 10:38:36 time: 0.6485 data_time: 0.0259 memory: 17350 grad_norm: 6.5836 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3697 loss: 1.3697 2022/07/23 14:30:52 - mmengine - INFO - Epoch(train) [51][1460/3757] lr: 1.0000e-03 eta: 1 day, 10:38:22 time: 0.6296 data_time: 0.0206 memory: 17350 grad_norm: 6.2383 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1985 loss: 1.1985 2022/07/23 14:31:05 - mmengine - INFO - Epoch(train) [51][1480/3757] lr: 1.0000e-03 eta: 1 day, 10:38:08 time: 0.6447 data_time: 0.0248 memory: 17350 grad_norm: 5.9604 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0693 loss: 1.0693 2022/07/23 14:31:19 - mmengine - INFO - Epoch(train) [51][1500/3757] lr: 1.0000e-03 eta: 1 day, 10:37:56 time: 0.7232 data_time: 0.0250 memory: 17350 grad_norm: 6.5734 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3766 loss: 1.3766 2022/07/23 14:31:33 - mmengine - INFO - Epoch(train) [51][1520/3757] lr: 1.0000e-03 eta: 1 day, 10:37:43 time: 0.6802 data_time: 0.0215 memory: 17350 grad_norm: 6.3885 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1490 loss: 1.1490 2022/07/23 14:31:48 - mmengine - INFO - Epoch(train) [51][1540/3757] lr: 1.0000e-03 eta: 1 day, 10:37:31 time: 0.7327 data_time: 0.0240 memory: 17350 grad_norm: 6.2235 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1914 loss: 1.1914 2022/07/23 14:32:00 - mmengine - INFO - Epoch(train) [51][1560/3757] lr: 1.0000e-03 eta: 1 day, 10:37:16 time: 0.6163 data_time: 0.0255 memory: 17350 grad_norm: 6.6140 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3871 loss: 1.3871 2022/07/23 14:32:14 - mmengine - INFO - Epoch(train) [51][1580/3757] lr: 1.0000e-03 eta: 1 day, 10:37:04 time: 0.7167 data_time: 0.0231 memory: 17350 grad_norm: 6.3686 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1585 loss: 1.1585 2022/07/23 14:32:26 - mmengine - INFO - Epoch(train) [51][1600/3757] lr: 1.0000e-03 eta: 1 day, 10:36:49 time: 0.5998 data_time: 0.0232 memory: 17350 grad_norm: 6.1102 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3363 loss: 1.3363 2022/07/23 14:32:40 - mmengine - INFO - Epoch(train) [51][1620/3757] lr: 1.0000e-03 eta: 1 day, 10:36:36 time: 0.6802 data_time: 0.0228 memory: 17350 grad_norm: 6.3070 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1628 loss: 1.1628 2022/07/23 14:32:52 - mmengine - INFO - Epoch(train) [51][1640/3757] lr: 1.0000e-03 eta: 1 day, 10:36:21 time: 0.6030 data_time: 0.0244 memory: 17350 grad_norm: 6.5044 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5314 loss: 1.5314 2022/07/23 14:33:06 - mmengine - INFO - Epoch(train) [51][1660/3757] lr: 1.0000e-03 eta: 1 day, 10:36:09 time: 0.7128 data_time: 0.0213 memory: 17350 grad_norm: 6.5240 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5630 loss: 1.5630 2022/07/23 14:33:20 - mmengine - INFO - Epoch(train) [51][1680/3757] lr: 1.0000e-03 eta: 1 day, 10:35:55 time: 0.6803 data_time: 0.0247 memory: 17350 grad_norm: 6.2676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3668 loss: 1.3668 2022/07/23 14:33:35 - mmengine - INFO - Epoch(train) [51][1700/3757] lr: 1.0000e-03 eta: 1 day, 10:35:43 time: 0.7350 data_time: 0.0227 memory: 17350 grad_norm: 6.2452 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4258 loss: 1.4258 2022/07/23 14:33:49 - mmengine - INFO - Epoch(train) [51][1720/3757] lr: 1.0000e-03 eta: 1 day, 10:35:31 time: 0.7190 data_time: 0.0259 memory: 17350 grad_norm: 6.1583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2729 loss: 1.2729 2022/07/23 14:34:00 - mmengine - INFO - Epoch(train) [51][1740/3757] lr: 1.0000e-03 eta: 1 day, 10:35:15 time: 0.5555 data_time: 0.0227 memory: 17350 grad_norm: 6.3758 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1524 loss: 1.1524 2022/07/23 14:34:15 - mmengine - INFO - Epoch(train) [51][1760/3757] lr: 1.0000e-03 eta: 1 day, 10:35:03 time: 0.7353 data_time: 0.0263 memory: 17350 grad_norm: 6.4697 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2431 loss: 1.2431 2022/07/23 14:34:28 - mmengine - INFO - Epoch(train) [51][1780/3757] lr: 1.0000e-03 eta: 1 day, 10:34:49 time: 0.6292 data_time: 0.0219 memory: 17350 grad_norm: 6.4938 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8500 loss: 1.8500 2022/07/23 14:34:41 - mmengine - INFO - Epoch(train) [51][1800/3757] lr: 1.0000e-03 eta: 1 day, 10:34:36 time: 0.6882 data_time: 0.0222 memory: 17350 grad_norm: 6.2986 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3783 loss: 1.3783 2022/07/23 14:34:52 - mmengine - INFO - Epoch(train) [51][1820/3757] lr: 1.0000e-03 eta: 1 day, 10:34:20 time: 0.5497 data_time: 0.0241 memory: 17350 grad_norm: 6.2064 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1033 loss: 1.1033 2022/07/23 14:35:07 - mmengine - INFO - Epoch(train) [51][1840/3757] lr: 1.0000e-03 eta: 1 day, 10:34:08 time: 0.7368 data_time: 0.0360 memory: 17350 grad_norm: 6.5428 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3350 loss: 1.3350 2022/07/23 14:35:22 - mmengine - INFO - Epoch(train) [51][1860/3757] lr: 1.0000e-03 eta: 1 day, 10:33:56 time: 0.7234 data_time: 0.1159 memory: 17350 grad_norm: 6.1210 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0339 loss: 1.0339 2022/07/23 14:35:35 - mmengine - INFO - Epoch(train) [51][1880/3757] lr: 1.0000e-03 eta: 1 day, 10:33:43 time: 0.6950 data_time: 0.3186 memory: 17350 grad_norm: 6.5717 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3201 loss: 1.3201 2022/07/23 14:35:48 - mmengine - INFO - Epoch(train) [51][1900/3757] lr: 1.0000e-03 eta: 1 day, 10:33:29 time: 0.6378 data_time: 0.2694 memory: 17350 grad_norm: 6.4683 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3793 loss: 1.3793 2022/07/23 14:36:02 - mmengine - INFO - Epoch(train) [51][1920/3757] lr: 1.0000e-03 eta: 1 day, 10:33:16 time: 0.6903 data_time: 0.2553 memory: 17350 grad_norm: 6.2238 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2571 loss: 1.2571 2022/07/23 14:36:15 - mmengine - INFO - Epoch(train) [51][1940/3757] lr: 1.0000e-03 eta: 1 day, 10:33:02 time: 0.6362 data_time: 0.0285 memory: 17350 grad_norm: 6.6207 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1684 loss: 1.1684 2022/07/23 14:36:30 - mmengine - INFO - Epoch(train) [51][1960/3757] lr: 1.0000e-03 eta: 1 day, 10:32:50 time: 0.7593 data_time: 0.0257 memory: 17350 grad_norm: 6.3145 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3270 loss: 1.3270 2022/07/23 14:36:41 - mmengine - INFO - Epoch(train) [51][1980/3757] lr: 1.0000e-03 eta: 1 day, 10:32:35 time: 0.5416 data_time: 0.0266 memory: 17350 grad_norm: 6.5047 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2035 loss: 1.2035 2022/07/23 14:36:56 - mmengine - INFO - Epoch(train) [51][2000/3757] lr: 1.0000e-03 eta: 1 day, 10:32:23 time: 0.7690 data_time: 0.0248 memory: 17350 grad_norm: 6.5616 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5182 loss: 1.5182 2022/07/23 14:37:08 - mmengine - INFO - Epoch(train) [51][2020/3757] lr: 1.0000e-03 eta: 1 day, 10:32:08 time: 0.5857 data_time: 0.0244 memory: 17350 grad_norm: 6.3955 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2531 loss: 1.2531 2022/07/23 14:37:22 - mmengine - INFO - Epoch(train) [51][2040/3757] lr: 1.0000e-03 eta: 1 day, 10:31:55 time: 0.6902 data_time: 0.0178 memory: 17350 grad_norm: 6.4117 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3901 loss: 1.3901 2022/07/23 14:37:34 - mmengine - INFO - Epoch(train) [51][2060/3757] lr: 1.0000e-03 eta: 1 day, 10:31:41 time: 0.6021 data_time: 0.0227 memory: 17350 grad_norm: 6.3185 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1616 loss: 1.1616 2022/07/23 14:37:50 - mmengine - INFO - Epoch(train) [51][2080/3757] lr: 1.0000e-03 eta: 1 day, 10:31:30 time: 0.7939 data_time: 0.0213 memory: 17350 grad_norm: 6.3530 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1639 loss: 1.1639 2022/07/23 14:38:01 - mmengine - INFO - Epoch(train) [51][2100/3757] lr: 1.0000e-03 eta: 1 day, 10:31:14 time: 0.5728 data_time: 0.0238 memory: 17350 grad_norm: 6.3574 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4226 loss: 1.4226 2022/07/23 14:38:15 - mmengine - INFO - Epoch(train) [51][2120/3757] lr: 1.0000e-03 eta: 1 day, 10:31:01 time: 0.6840 data_time: 0.0234 memory: 17350 grad_norm: 6.5264 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5080 loss: 1.5080 2022/07/23 14:38:28 - mmengine - INFO - Epoch(train) [51][2140/3757] lr: 1.0000e-03 eta: 1 day, 10:30:47 time: 0.6338 data_time: 0.0215 memory: 17350 grad_norm: 6.5264 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5256 loss: 1.5256 2022/07/23 14:38:36 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 14:38:42 - mmengine - INFO - Epoch(train) [51][2160/3757] lr: 1.0000e-03 eta: 1 day, 10:30:35 time: 0.7087 data_time: 0.0256 memory: 17350 grad_norm: 6.4827 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1921 loss: 1.1921 2022/07/23 14:38:55 - mmengine - INFO - Epoch(train) [51][2180/3757] lr: 1.0000e-03 eta: 1 day, 10:30:21 time: 0.6628 data_time: 0.0225 memory: 17350 grad_norm: 6.2948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2227 loss: 1.2227 2022/07/23 14:39:09 - mmengine - INFO - Epoch(train) [51][2200/3757] lr: 1.0000e-03 eta: 1 day, 10:30:09 time: 0.7217 data_time: 0.0219 memory: 17350 grad_norm: 6.2609 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1610 loss: 1.1610 2022/07/23 14:39:22 - mmengine - INFO - Epoch(train) [51][2220/3757] lr: 1.0000e-03 eta: 1 day, 10:29:55 time: 0.6313 data_time: 0.0248 memory: 17350 grad_norm: 6.6686 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2867 loss: 1.2867 2022/07/23 14:39:36 - mmengine - INFO - Epoch(train) [51][2240/3757] lr: 1.0000e-03 eta: 1 day, 10:29:41 time: 0.6723 data_time: 0.0313 memory: 17350 grad_norm: 6.5323 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3220 loss: 1.3220 2022/07/23 14:39:50 - mmengine - INFO - Epoch(train) [51][2260/3757] lr: 1.0000e-03 eta: 1 day, 10:29:29 time: 0.7429 data_time: 0.0233 memory: 17350 grad_norm: 6.5254 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3527 loss: 1.3527 2022/07/23 14:40:02 - mmengine - INFO - Epoch(train) [51][2280/3757] lr: 1.0000e-03 eta: 1 day, 10:29:14 time: 0.5801 data_time: 0.0219 memory: 17350 grad_norm: 6.4937 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0618 loss: 1.0618 2022/07/23 14:40:17 - mmengine - INFO - Epoch(train) [51][2300/3757] lr: 1.0000e-03 eta: 1 day, 10:29:02 time: 0.7394 data_time: 0.0273 memory: 17350 grad_norm: 6.7048 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5182 loss: 1.5182 2022/07/23 14:40:29 - mmengine - INFO - Epoch(train) [51][2320/3757] lr: 1.0000e-03 eta: 1 day, 10:28:48 time: 0.6213 data_time: 0.0235 memory: 17350 grad_norm: 6.2607 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1447 loss: 1.1447 2022/07/23 14:40:44 - mmengine - INFO - Epoch(train) [51][2340/3757] lr: 1.0000e-03 eta: 1 day, 10:28:36 time: 0.7213 data_time: 0.0224 memory: 17350 grad_norm: 6.5977 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3406 loss: 1.3406 2022/07/23 14:40:56 - mmengine - INFO - Epoch(train) [51][2360/3757] lr: 1.0000e-03 eta: 1 day, 10:28:21 time: 0.6185 data_time: 0.0217 memory: 17350 grad_norm: 6.4495 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3564 loss: 1.3564 2022/07/23 14:41:09 - mmengine - INFO - Epoch(train) [51][2380/3757] lr: 1.0000e-03 eta: 1 day, 10:28:08 time: 0.6575 data_time: 0.0226 memory: 17350 grad_norm: 6.3985 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3017 loss: 1.3017 2022/07/23 14:41:23 - mmengine - INFO - Epoch(train) [51][2400/3757] lr: 1.0000e-03 eta: 1 day, 10:27:54 time: 0.6771 data_time: 0.0218 memory: 17350 grad_norm: 6.3443 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3429 loss: 1.3429 2022/07/23 14:41:35 - mmengine - INFO - Epoch(train) [51][2420/3757] lr: 1.0000e-03 eta: 1 day, 10:27:40 time: 0.6210 data_time: 0.0254 memory: 17350 grad_norm: 6.3889 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4146 loss: 1.4146 2022/07/23 14:41:49 - mmengine - INFO - Epoch(train) [51][2440/3757] lr: 1.0000e-03 eta: 1 day, 10:27:27 time: 0.7106 data_time: 0.0210 memory: 17350 grad_norm: 6.2098 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1911 loss: 1.1911 2022/07/23 14:42:02 - mmengine - INFO - Epoch(train) [51][2460/3757] lr: 1.0000e-03 eta: 1 day, 10:27:14 time: 0.6483 data_time: 0.0863 memory: 17350 grad_norm: 6.4906 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1620 loss: 1.1620 2022/07/23 14:42:18 - mmengine - INFO - Epoch(train) [51][2480/3757] lr: 1.0000e-03 eta: 1 day, 10:27:02 time: 0.7634 data_time: 0.1504 memory: 17350 grad_norm: 6.2235 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3044 loss: 1.3044 2022/07/23 14:42:28 - mmengine - INFO - Epoch(train) [51][2500/3757] lr: 1.0000e-03 eta: 1 day, 10:26:46 time: 0.5278 data_time: 0.0253 memory: 17350 grad_norm: 6.5020 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2049 loss: 1.2049 2022/07/23 14:42:43 - mmengine - INFO - Epoch(train) [51][2520/3757] lr: 1.0000e-03 eta: 1 day, 10:26:34 time: 0.7375 data_time: 0.0204 memory: 17350 grad_norm: 6.4383 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3615 loss: 1.3615 2022/07/23 14:42:56 - mmengine - INFO - Epoch(train) [51][2540/3757] lr: 1.0000e-03 eta: 1 day, 10:26:20 time: 0.6443 data_time: 0.0251 memory: 17350 grad_norm: 6.5401 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4395 loss: 1.4395 2022/07/23 14:43:09 - mmengine - INFO - Epoch(train) [51][2560/3757] lr: 1.0000e-03 eta: 1 day, 10:26:07 time: 0.6686 data_time: 0.0224 memory: 17350 grad_norm: 6.4670 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4172 loss: 1.4172 2022/07/23 14:43:22 - mmengine - INFO - Epoch(train) [51][2580/3757] lr: 1.0000e-03 eta: 1 day, 10:25:52 time: 0.6184 data_time: 0.0237 memory: 17350 grad_norm: 6.2588 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5471 loss: 1.5471 2022/07/23 14:43:37 - mmengine - INFO - Epoch(train) [51][2600/3757] lr: 1.0000e-03 eta: 1 day, 10:25:41 time: 0.7515 data_time: 0.0230 memory: 17350 grad_norm: 6.3492 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3853 loss: 1.3853 2022/07/23 14:43:49 - mmengine - INFO - Epoch(train) [51][2620/3757] lr: 1.0000e-03 eta: 1 day, 10:25:26 time: 0.5950 data_time: 0.0221 memory: 17350 grad_norm: 6.5328 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1140 loss: 1.1140 2022/07/23 14:44:04 - mmengine - INFO - Epoch(train) [51][2640/3757] lr: 1.0000e-03 eta: 1 day, 10:25:14 time: 0.7463 data_time: 0.0379 memory: 17350 grad_norm: 6.1763 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1267 loss: 1.1267 2022/07/23 14:44:17 - mmengine - INFO - Epoch(train) [51][2660/3757] lr: 1.0000e-03 eta: 1 day, 10:25:00 time: 0.6469 data_time: 0.0887 memory: 17350 grad_norm: 6.5048 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1289 loss: 1.1289 2022/07/23 14:44:30 - mmengine - INFO - Epoch(train) [51][2680/3757] lr: 1.0000e-03 eta: 1 day, 10:24:46 time: 0.6564 data_time: 0.0710 memory: 17350 grad_norm: 6.2941 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2305 loss: 1.2305 2022/07/23 14:44:46 - mmengine - INFO - Epoch(train) [51][2700/3757] lr: 1.0000e-03 eta: 1 day, 10:24:35 time: 0.7906 data_time: 0.3341 memory: 17350 grad_norm: 6.4260 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3349 loss: 1.3349 2022/07/23 14:44:57 - mmengine - INFO - Epoch(train) [51][2720/3757] lr: 1.0000e-03 eta: 1 day, 10:24:20 time: 0.5731 data_time: 0.1385 memory: 17350 grad_norm: 6.3409 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1313 loss: 1.1313 2022/07/23 14:45:11 - mmengine - INFO - Epoch(train) [51][2740/3757] lr: 1.0000e-03 eta: 1 day, 10:24:07 time: 0.7005 data_time: 0.3684 memory: 17350 grad_norm: 6.5258 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1886 loss: 1.1886 2022/07/23 14:45:27 - mmengine - INFO - Epoch(train) [51][2760/3757] lr: 1.0000e-03 eta: 1 day, 10:23:56 time: 0.7816 data_time: 0.0744 memory: 17350 grad_norm: 6.1142 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0939 loss: 1.0939 2022/07/23 14:45:37 - mmengine - INFO - Epoch(train) [51][2780/3757] lr: 1.0000e-03 eta: 1 day, 10:23:40 time: 0.5385 data_time: 0.0257 memory: 17350 grad_norm: 6.5146 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3731 loss: 1.3731 2022/07/23 14:45:53 - mmengine - INFO - Epoch(train) [51][2800/3757] lr: 1.0000e-03 eta: 1 day, 10:23:29 time: 0.7753 data_time: 0.0214 memory: 17350 grad_norm: 6.4851 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1432 loss: 1.1432 2022/07/23 14:46:05 - mmengine - INFO - Epoch(train) [51][2820/3757] lr: 1.0000e-03 eta: 1 day, 10:23:14 time: 0.6083 data_time: 0.0244 memory: 17350 grad_norm: 6.3793 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4178 loss: 1.4178 2022/07/23 14:46:20 - mmengine - INFO - Epoch(train) [51][2840/3757] lr: 1.0000e-03 eta: 1 day, 10:23:03 time: 0.7523 data_time: 0.0202 memory: 17350 grad_norm: 6.4144 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0933 loss: 1.0933 2022/07/23 14:46:32 - mmengine - INFO - Epoch(train) [51][2860/3757] lr: 1.0000e-03 eta: 1 day, 10:22:48 time: 0.5841 data_time: 0.0256 memory: 17350 grad_norm: 6.5069 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0549 loss: 1.0549 2022/07/23 14:46:48 - mmengine - INFO - Epoch(train) [51][2880/3757] lr: 1.0000e-03 eta: 1 day, 10:22:37 time: 0.8211 data_time: 0.0213 memory: 17350 grad_norm: 6.6184 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4266 loss: 1.4266 2022/07/23 14:46:59 - mmengine - INFO - Epoch(train) [51][2900/3757] lr: 1.0000e-03 eta: 1 day, 10:22:21 time: 0.5199 data_time: 0.0251 memory: 17350 grad_norm: 6.5135 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2262 loss: 1.2262 2022/07/23 14:47:14 - mmengine - INFO - Epoch(train) [51][2920/3757] lr: 1.0000e-03 eta: 1 day, 10:22:09 time: 0.7644 data_time: 0.0229 memory: 17350 grad_norm: 6.3958 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2173 loss: 1.2173 2022/07/23 14:47:26 - mmengine - INFO - Epoch(train) [51][2940/3757] lr: 1.0000e-03 eta: 1 day, 10:21:55 time: 0.5997 data_time: 0.0217 memory: 17350 grad_norm: 6.6796 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2929 loss: 1.2929 2022/07/23 14:47:40 - mmengine - INFO - Epoch(train) [51][2960/3757] lr: 1.0000e-03 eta: 1 day, 10:21:42 time: 0.7048 data_time: 0.0221 memory: 17350 grad_norm: 6.7000 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2874 loss: 1.2874 2022/07/23 14:47:52 - mmengine - INFO - Epoch(train) [51][2980/3757] lr: 1.0000e-03 eta: 1 day, 10:21:27 time: 0.5812 data_time: 0.0331 memory: 17350 grad_norm: 6.4201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2273 loss: 1.2273 2022/07/23 14:48:06 - mmengine - INFO - Epoch(train) [51][3000/3757] lr: 1.0000e-03 eta: 1 day, 10:21:14 time: 0.7176 data_time: 0.0495 memory: 17350 grad_norm: 6.5916 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6240 loss: 1.6240 2022/07/23 14:48:19 - mmengine - INFO - Epoch(train) [51][3020/3757] lr: 1.0000e-03 eta: 1 day, 10:21:01 time: 0.6591 data_time: 0.0248 memory: 17350 grad_norm: 6.1396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2453 loss: 1.2453 2022/07/23 14:48:33 - mmengine - INFO - Epoch(train) [51][3040/3757] lr: 1.0000e-03 eta: 1 day, 10:20:48 time: 0.7002 data_time: 0.0218 memory: 17350 grad_norm: 6.5590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2869 loss: 1.2869 2022/07/23 14:48:45 - mmengine - INFO - Epoch(train) [51][3060/3757] lr: 1.0000e-03 eta: 1 day, 10:20:33 time: 0.5992 data_time: 0.0238 memory: 17350 grad_norm: 6.2096 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1894 loss: 1.1894 2022/07/23 14:48:58 - mmengine - INFO - Epoch(train) [51][3080/3757] lr: 1.0000e-03 eta: 1 day, 10:20:19 time: 0.6356 data_time: 0.0725 memory: 17350 grad_norm: 6.3586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3037 loss: 1.3037 2022/07/23 14:49:15 - mmengine - INFO - Epoch(train) [51][3100/3757] lr: 1.0000e-03 eta: 1 day, 10:20:09 time: 0.8355 data_time: 0.3958 memory: 17350 grad_norm: 6.1733 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3886 loss: 1.3886 2022/07/23 14:49:28 - mmengine - INFO - Epoch(train) [51][3120/3757] lr: 1.0000e-03 eta: 1 day, 10:19:56 time: 0.6595 data_time: 0.0458 memory: 17350 grad_norm: 6.4462 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1279 loss: 1.1279 2022/07/23 14:49:40 - mmengine - INFO - Epoch(train) [51][3140/3757] lr: 1.0000e-03 eta: 1 day, 10:19:41 time: 0.5829 data_time: 0.0235 memory: 17350 grad_norm: 6.4556 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0407 loss: 1.0407 2022/07/23 14:49:47 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 14:49:53 - mmengine - INFO - Epoch(train) [51][3160/3757] lr: 1.0000e-03 eta: 1 day, 10:19:27 time: 0.6476 data_time: 0.0247 memory: 17350 grad_norm: 6.3406 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3489 loss: 1.3489 2022/07/23 14:50:07 - mmengine - INFO - Epoch(train) [51][3180/3757] lr: 1.0000e-03 eta: 1 day, 10:19:14 time: 0.7125 data_time: 0.0670 memory: 17350 grad_norm: 6.5686 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9898 loss: 0.9898 2022/07/23 14:50:21 - mmengine - INFO - Epoch(train) [51][3200/3757] lr: 1.0000e-03 eta: 1 day, 10:19:01 time: 0.6964 data_time: 0.0834 memory: 17350 grad_norm: 6.4412 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3806 loss: 1.3806 2022/07/23 14:50:35 - mmengine - INFO - Epoch(train) [51][3220/3757] lr: 1.0000e-03 eta: 1 day, 10:18:48 time: 0.6844 data_time: 0.1959 memory: 17350 grad_norm: 6.2255 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6409 loss: 1.6409 2022/07/23 14:50:47 - mmengine - INFO - Epoch(train) [51][3240/3757] lr: 1.0000e-03 eta: 1 day, 10:18:34 time: 0.6279 data_time: 0.0224 memory: 17350 grad_norm: 6.5136 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3426 loss: 1.3426 2022/07/23 14:51:03 - mmengine - INFO - Epoch(train) [51][3260/3757] lr: 1.0000e-03 eta: 1 day, 10:18:23 time: 0.7845 data_time: 0.0239 memory: 17350 grad_norm: 6.2766 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4125 loss: 1.4125 2022/07/23 14:51:15 - mmengine - INFO - Epoch(train) [51][3280/3757] lr: 1.0000e-03 eta: 1 day, 10:18:09 time: 0.6272 data_time: 0.0260 memory: 17350 grad_norm: 6.3874 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2442 loss: 1.2442 2022/07/23 14:51:29 - mmengine - INFO - Epoch(train) [51][3300/3757] lr: 1.0000e-03 eta: 1 day, 10:17:55 time: 0.6639 data_time: 0.0235 memory: 17350 grad_norm: 6.5078 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1338 loss: 1.1338 2022/07/23 14:51:40 - mmengine - INFO - Epoch(train) [51][3320/3757] lr: 1.0000e-03 eta: 1 day, 10:17:40 time: 0.5696 data_time: 0.0225 memory: 17350 grad_norm: 6.5738 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3168 loss: 1.3168 2022/07/23 14:51:55 - mmengine - INFO - Epoch(train) [51][3340/3757] lr: 1.0000e-03 eta: 1 day, 10:17:28 time: 0.7573 data_time: 0.0242 memory: 17350 grad_norm: 6.3241 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1772 loss: 1.1772 2022/07/23 14:52:08 - mmengine - INFO - Epoch(train) [51][3360/3757] lr: 1.0000e-03 eta: 1 day, 10:17:14 time: 0.6462 data_time: 0.0531 memory: 17350 grad_norm: 6.8048 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2446 loss: 1.2446 2022/07/23 14:52:21 - mmengine - INFO - Epoch(train) [51][3380/3757] lr: 1.0000e-03 eta: 1 day, 10:17:01 time: 0.6623 data_time: 0.0210 memory: 17350 grad_norm: 6.5289 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5081 loss: 1.5081 2022/07/23 14:52:34 - mmengine - INFO - Epoch(train) [51][3400/3757] lr: 1.0000e-03 eta: 1 day, 10:16:47 time: 0.6354 data_time: 0.0333 memory: 17350 grad_norm: 6.3504 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2433 loss: 1.2433 2022/07/23 14:52:49 - mmengine - INFO - Epoch(train) [51][3420/3757] lr: 1.0000e-03 eta: 1 day, 10:16:35 time: 0.7318 data_time: 0.0228 memory: 17350 grad_norm: 6.4730 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2435 loss: 1.2435 2022/07/23 14:53:06 - mmengine - INFO - Epoch(train) [51][3440/3757] lr: 1.0000e-03 eta: 1 day, 10:16:25 time: 0.8719 data_time: 0.4020 memory: 17350 grad_norm: 6.4971 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2871 loss: 1.2871 2022/07/23 14:53:16 - mmengine - INFO - Epoch(train) [51][3460/3757] lr: 1.0000e-03 eta: 1 day, 10:16:08 time: 0.4791 data_time: 0.1451 memory: 17350 grad_norm: 6.6135 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4752 loss: 1.4752 2022/07/23 14:53:30 - mmengine - INFO - Epoch(train) [51][3480/3757] lr: 1.0000e-03 eta: 1 day, 10:15:56 time: 0.7243 data_time: 0.3892 memory: 17350 grad_norm: 6.5014 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6013 loss: 1.6013 2022/07/23 14:53:41 - mmengine - INFO - Epoch(train) [51][3500/3757] lr: 1.0000e-03 eta: 1 day, 10:15:40 time: 0.5383 data_time: 0.1967 memory: 17350 grad_norm: 6.5341 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2923 loss: 1.2923 2022/07/23 14:53:56 - mmengine - INFO - Epoch(train) [51][3520/3757] lr: 1.0000e-03 eta: 1 day, 10:15:28 time: 0.7277 data_time: 0.3823 memory: 17350 grad_norm: 6.2232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0792 loss: 1.0792 2022/07/23 14:54:08 - mmengine - INFO - Epoch(train) [51][3540/3757] lr: 1.0000e-03 eta: 1 day, 10:15:13 time: 0.6206 data_time: 0.2337 memory: 17350 grad_norm: 6.4067 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3568 loss: 1.3568 2022/07/23 14:54:22 - mmengine - INFO - Epoch(train) [51][3560/3757] lr: 1.0000e-03 eta: 1 day, 10:15:01 time: 0.6951 data_time: 0.1639 memory: 17350 grad_norm: 6.7110 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3719 loss: 1.3719 2022/07/23 14:54:36 - mmengine - INFO - Epoch(train) [51][3580/3757] lr: 1.0000e-03 eta: 1 day, 10:14:48 time: 0.7030 data_time: 0.2229 memory: 17350 grad_norm: 6.3757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4916 loss: 1.4916 2022/07/23 14:54:49 - mmengine - INFO - Epoch(train) [51][3600/3757] lr: 1.0000e-03 eta: 1 day, 10:14:34 time: 0.6706 data_time: 0.1076 memory: 17350 grad_norm: 6.3809 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1708 loss: 1.1708 2022/07/23 14:55:03 - mmengine - INFO - Epoch(train) [51][3620/3757] lr: 1.0000e-03 eta: 1 day, 10:14:21 time: 0.6780 data_time: 0.1572 memory: 17350 grad_norm: 6.5854 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2231 loss: 1.2231 2022/07/23 14:55:16 - mmengine - INFO - Epoch(train) [51][3640/3757] lr: 1.0000e-03 eta: 1 day, 10:14:07 time: 0.6353 data_time: 0.0417 memory: 17350 grad_norm: 6.6155 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3781 loss: 1.3781 2022/07/23 14:55:31 - mmengine - INFO - Epoch(train) [51][3660/3757] lr: 1.0000e-03 eta: 1 day, 10:13:55 time: 0.7452 data_time: 0.0592 memory: 17350 grad_norm: 6.3179 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1514 loss: 1.1514 2022/07/23 14:55:43 - mmengine - INFO - Epoch(train) [51][3680/3757] lr: 1.0000e-03 eta: 1 day, 10:13:41 time: 0.6036 data_time: 0.0258 memory: 17350 grad_norm: 6.4584 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4203 loss: 1.4203 2022/07/23 14:55:58 - mmengine - INFO - Epoch(train) [51][3700/3757] lr: 1.0000e-03 eta: 1 day, 10:13:29 time: 0.7397 data_time: 0.0217 memory: 17350 grad_norm: 6.5705 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5614 loss: 1.5614 2022/07/23 14:56:10 - mmengine - INFO - Epoch(train) [51][3720/3757] lr: 1.0000e-03 eta: 1 day, 10:13:14 time: 0.6274 data_time: 0.0250 memory: 17350 grad_norm: 6.4662 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2827 loss: 1.2827 2022/07/23 14:56:25 - mmengine - INFO - Epoch(train) [51][3740/3757] lr: 1.0000e-03 eta: 1 day, 10:13:02 time: 0.7244 data_time: 0.0214 memory: 17350 grad_norm: 6.7165 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2281 loss: 1.2281 2022/07/23 14:56:32 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 14:56:32 - mmengine - INFO - Epoch(train) [51][3757/3757] lr: 1.0000e-03 eta: 1 day, 10:13:02 time: 0.4431 data_time: 0.0231 memory: 17350 grad_norm: 6.3659 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.1695 loss: 1.1695 2022/07/23 14:56:49 - mmengine - INFO - Epoch(val) [51][20/310] eta: 0:03:59 time: 0.8275 data_time: 0.7120 memory: 3406 2022/07/23 14:57:00 - mmengine - INFO - Epoch(val) [51][40/310] eta: 0:02:26 time: 0.5433 data_time: 0.4301 memory: 3406 2022/07/23 14:57:15 - mmengine - INFO - Epoch(val) [51][60/310] eta: 0:03:06 time: 0.7452 data_time: 0.6312 memory: 3406 2022/07/23 14:57:26 - mmengine - INFO - Epoch(val) [51][80/310] eta: 0:02:10 time: 0.5678 data_time: 0.4561 memory: 3406 2022/07/23 14:57:41 - mmengine - INFO - Epoch(val) [51][100/310] eta: 0:02:35 time: 0.7416 data_time: 0.6276 memory: 3406 2022/07/23 14:57:52 - mmengine - INFO - Epoch(val) [51][120/310] eta: 0:01:46 time: 0.5599 data_time: 0.4472 memory: 3406 2022/07/23 14:58:09 - mmengine - INFO - Epoch(val) [51][140/310] eta: 0:02:19 time: 0.8182 data_time: 0.7049 memory: 3406 2022/07/23 14:58:19 - mmengine - INFO - Epoch(val) [51][160/310] eta: 0:01:16 time: 0.5067 data_time: 0.3925 memory: 3406 2022/07/23 14:58:34 - mmengine - INFO - Epoch(val) [51][180/310] eta: 0:01:40 time: 0.7721 data_time: 0.6595 memory: 3406 2022/07/23 14:58:45 - mmengine - INFO - Epoch(val) [51][200/310] eta: 0:01:00 time: 0.5464 data_time: 0.4343 memory: 3406 2022/07/23 14:59:00 - mmengine - INFO - Epoch(val) [51][220/310] eta: 0:01:07 time: 0.7449 data_time: 0.6311 memory: 3406 2022/07/23 14:59:12 - mmengine - INFO - Epoch(val) [51][240/310] eta: 0:00:41 time: 0.5858 data_time: 0.4727 memory: 3406 2022/07/23 14:59:27 - mmengine - INFO - Epoch(val) [51][260/310] eta: 0:00:37 time: 0.7538 data_time: 0.6393 memory: 3406 2022/07/23 14:59:39 - mmengine - INFO - Epoch(val) [51][280/310] eta: 0:00:18 time: 0.6218 data_time: 0.5020 memory: 3406 2022/07/23 14:59:53 - mmengine - INFO - Epoch(val) [51][300/310] eta: 0:00:06 time: 0.6774 data_time: 0.5612 memory: 3406 2022/07/23 15:00:00 - mmengine - INFO - Epoch(val) [51][310/310] acc/top1: 0.6717 acc/top5: 0.8706 acc/mean1: 0.6716 2022/07/23 15:00:18 - mmengine - INFO - Epoch(train) [52][20/3757] lr: 1.0000e-03 eta: 1 day, 10:12:31 time: 0.9157 data_time: 0.4492 memory: 17350 grad_norm: 6.5877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5440 loss: 1.5440 2022/07/23 15:00:30 - mmengine - INFO - Epoch(train) [52][40/3757] lr: 1.0000e-03 eta: 1 day, 10:12:16 time: 0.5753 data_time: 0.1439 memory: 17350 grad_norm: 6.3409 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1087 loss: 1.1087 2022/07/23 15:00:45 - mmengine - INFO - Epoch(train) [52][60/3757] lr: 1.0000e-03 eta: 1 day, 10:12:05 time: 0.7717 data_time: 0.2720 memory: 17350 grad_norm: 6.4746 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3138 loss: 1.3138 2022/07/23 15:00:58 - mmengine - INFO - Epoch(train) [52][80/3757] lr: 1.0000e-03 eta: 1 day, 10:11:50 time: 0.6289 data_time: 0.1141 memory: 17350 grad_norm: 6.4173 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3167 loss: 1.3167 2022/07/23 15:01:13 - mmengine - INFO - Epoch(train) [52][100/3757] lr: 1.0000e-03 eta: 1 day, 10:11:38 time: 0.7321 data_time: 0.1290 memory: 17350 grad_norm: 6.6453 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3006 loss: 1.3006 2022/07/23 15:01:25 - mmengine - INFO - Epoch(train) [52][120/3757] lr: 1.0000e-03 eta: 1 day, 10:11:24 time: 0.6151 data_time: 0.2200 memory: 17350 grad_norm: 6.7660 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2735 loss: 1.2735 2022/07/23 15:01:39 - mmengine - INFO - Epoch(train) [52][140/3757] lr: 1.0000e-03 eta: 1 day, 10:11:12 time: 0.7230 data_time: 0.1253 memory: 17350 grad_norm: 6.3479 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3205 loss: 1.3205 2022/07/23 15:01:52 - mmengine - INFO - Epoch(train) [52][160/3757] lr: 1.0000e-03 eta: 1 day, 10:10:58 time: 0.6535 data_time: 0.1217 memory: 17350 grad_norm: 6.3368 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1702 loss: 1.1702 2022/07/23 15:02:07 - mmengine - INFO - Epoch(train) [52][180/3757] lr: 1.0000e-03 eta: 1 day, 10:10:45 time: 0.7059 data_time: 0.1895 memory: 17350 grad_norm: 6.4836 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4780 loss: 1.4780 2022/07/23 15:02:19 - mmengine - INFO - Epoch(train) [52][200/3757] lr: 1.0000e-03 eta: 1 day, 10:10:31 time: 0.6062 data_time: 0.1073 memory: 17350 grad_norm: 6.4024 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4076 loss: 1.4076 2022/07/23 15:02:33 - mmengine - INFO - Epoch(train) [52][220/3757] lr: 1.0000e-03 eta: 1 day, 10:10:18 time: 0.7134 data_time: 0.0432 memory: 17350 grad_norm: 6.5517 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1089 loss: 1.1089 2022/07/23 15:02:45 - mmengine - INFO - Epoch(train) [52][240/3757] lr: 1.0000e-03 eta: 1 day, 10:10:04 time: 0.6179 data_time: 0.0226 memory: 17350 grad_norm: 6.3972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1807 loss: 1.1807 2022/07/23 15:03:01 - mmengine - INFO - Epoch(train) [52][260/3757] lr: 1.0000e-03 eta: 1 day, 10:09:52 time: 0.7546 data_time: 0.0223 memory: 17350 grad_norm: 6.7047 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6421 loss: 1.6421 2022/07/23 15:03:12 - mmengine - INFO - Epoch(train) [52][280/3757] lr: 1.0000e-03 eta: 1 day, 10:09:37 time: 0.5970 data_time: 0.0309 memory: 17350 grad_norm: 6.4243 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3854 loss: 1.3854 2022/07/23 15:03:28 - mmengine - INFO - Epoch(train) [52][300/3757] lr: 1.0000e-03 eta: 1 day, 10:09:26 time: 0.7618 data_time: 0.0589 memory: 17350 grad_norm: 6.4201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5034 loss: 1.5034 2022/07/23 15:03:41 - mmengine - INFO - Epoch(train) [52][320/3757] lr: 1.0000e-03 eta: 1 day, 10:09:12 time: 0.6421 data_time: 0.0229 memory: 17350 grad_norm: 6.3112 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6710 loss: 1.6710 2022/07/23 15:03:54 - mmengine - INFO - Epoch(train) [52][340/3757] lr: 1.0000e-03 eta: 1 day, 10:08:58 time: 0.6688 data_time: 0.0318 memory: 17350 grad_norm: 6.5581 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4347 loss: 1.4347 2022/07/23 15:04:06 - mmengine - INFO - Epoch(train) [52][360/3757] lr: 1.0000e-03 eta: 1 day, 10:08:44 time: 0.6195 data_time: 0.0240 memory: 17350 grad_norm: 6.3275 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4347 loss: 1.4347 2022/07/23 15:04:21 - mmengine - INFO - Epoch(train) [52][380/3757] lr: 1.0000e-03 eta: 1 day, 10:08:32 time: 0.7434 data_time: 0.0205 memory: 17350 grad_norm: 6.4623 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2993 loss: 1.2993 2022/07/23 15:04:28 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 15:04:34 - mmengine - INFO - Epoch(train) [52][400/3757] lr: 1.0000e-03 eta: 1 day, 10:08:18 time: 0.6190 data_time: 0.0263 memory: 17350 grad_norm: 6.8900 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6080 loss: 1.6080 2022/07/23 15:04:48 - mmengine - INFO - Epoch(train) [52][420/3757] lr: 1.0000e-03 eta: 1 day, 10:08:06 time: 0.7392 data_time: 0.0305 memory: 17350 grad_norm: 6.2042 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3469 loss: 1.3469 2022/07/23 15:04:59 - mmengine - INFO - Epoch(train) [52][440/3757] lr: 1.0000e-03 eta: 1 day, 10:07:50 time: 0.5427 data_time: 0.0221 memory: 17350 grad_norm: 6.4583 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3580 loss: 1.3580 2022/07/23 15:05:16 - mmengine - INFO - Epoch(train) [52][460/3757] lr: 1.0000e-03 eta: 1 day, 10:07:40 time: 0.8340 data_time: 0.0217 memory: 17350 grad_norm: 6.6143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1107 loss: 1.1107 2022/07/23 15:05:27 - mmengine - INFO - Epoch(train) [52][480/3757] lr: 1.0000e-03 eta: 1 day, 10:07:24 time: 0.5483 data_time: 0.0236 memory: 17350 grad_norm: 6.2767 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2559 loss: 1.2559 2022/07/23 15:05:40 - mmengine - INFO - Epoch(train) [52][500/3757] lr: 1.0000e-03 eta: 1 day, 10:07:10 time: 0.6404 data_time: 0.0207 memory: 17350 grad_norm: 6.3196 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1851 loss: 1.1851 2022/07/23 15:05:52 - mmengine - INFO - Epoch(train) [52][520/3757] lr: 1.0000e-03 eta: 1 day, 10:06:55 time: 0.6019 data_time: 0.0233 memory: 17350 grad_norm: 6.4373 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4469 loss: 1.4469 2022/07/23 15:06:06 - mmengine - INFO - Epoch(train) [52][540/3757] lr: 1.0000e-03 eta: 1 day, 10:06:43 time: 0.7237 data_time: 0.0216 memory: 17350 grad_norm: 6.3875 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3772 loss: 1.3772 2022/07/23 15:06:19 - mmengine - INFO - Epoch(train) [52][560/3757] lr: 1.0000e-03 eta: 1 day, 10:06:29 time: 0.6167 data_time: 0.0206 memory: 17350 grad_norm: 6.3402 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3169 loss: 1.3169 2022/07/23 15:06:33 - mmengine - INFO - Epoch(train) [52][580/3757] lr: 1.0000e-03 eta: 1 day, 10:06:16 time: 0.7226 data_time: 0.0244 memory: 17350 grad_norm: 6.3434 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1944 loss: 1.1944 2022/07/23 15:06:46 - mmengine - INFO - Epoch(train) [52][600/3757] lr: 1.0000e-03 eta: 1 day, 10:06:02 time: 0.6213 data_time: 0.0224 memory: 17350 grad_norm: 6.4986 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1838 loss: 1.1838 2022/07/23 15:07:00 - mmengine - INFO - Epoch(train) [52][620/3757] lr: 1.0000e-03 eta: 1 day, 10:05:50 time: 0.7294 data_time: 0.0894 memory: 17350 grad_norm: 6.6436 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5478 loss: 1.5478 2022/07/23 15:07:12 - mmengine - INFO - Epoch(train) [52][640/3757] lr: 1.0000e-03 eta: 1 day, 10:05:35 time: 0.5914 data_time: 0.0360 memory: 17350 grad_norm: 6.5888 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3218 loss: 1.3218 2022/07/23 15:07:27 - mmengine - INFO - Epoch(train) [52][660/3757] lr: 1.0000e-03 eta: 1 day, 10:05:23 time: 0.7413 data_time: 0.0345 memory: 17350 grad_norm: 6.2387 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2727 loss: 1.2727 2022/07/23 15:07:40 - mmengine - INFO - Epoch(train) [52][680/3757] lr: 1.0000e-03 eta: 1 day, 10:05:09 time: 0.6503 data_time: 0.0592 memory: 17350 grad_norm: 6.3450 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2068 loss: 1.2068 2022/07/23 15:07:54 - mmengine - INFO - Epoch(train) [52][700/3757] lr: 1.0000e-03 eta: 1 day, 10:04:56 time: 0.6997 data_time: 0.0249 memory: 17350 grad_norm: 6.3175 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1618 loss: 1.1618 2022/07/23 15:08:07 - mmengine - INFO - Epoch(train) [52][720/3757] lr: 1.0000e-03 eta: 1 day, 10:04:43 time: 0.6643 data_time: 0.0233 memory: 17350 grad_norm: 6.2539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2234 loss: 1.2234 2022/07/23 15:08:20 - mmengine - INFO - Epoch(train) [52][740/3757] lr: 1.0000e-03 eta: 1 day, 10:04:29 time: 0.6594 data_time: 0.0254 memory: 17350 grad_norm: 6.2593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4043 loss: 1.4043 2022/07/23 15:08:33 - mmengine - INFO - Epoch(train) [52][760/3757] lr: 1.0000e-03 eta: 1 day, 10:04:15 time: 0.6361 data_time: 0.0216 memory: 17350 grad_norm: 6.4066 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4466 loss: 1.4466 2022/07/23 15:08:47 - mmengine - INFO - Epoch(train) [52][780/3757] lr: 1.0000e-03 eta: 1 day, 10:04:02 time: 0.6907 data_time: 0.0246 memory: 17350 grad_norm: 6.6634 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4447 loss: 1.4447 2022/07/23 15:08:59 - mmengine - INFO - Epoch(train) [52][800/3757] lr: 1.0000e-03 eta: 1 day, 10:03:47 time: 0.5887 data_time: 0.0241 memory: 17350 grad_norm: 6.4581 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4530 loss: 1.4530 2022/07/23 15:09:14 - mmengine - INFO - Epoch(train) [52][820/3757] lr: 1.0000e-03 eta: 1 day, 10:03:36 time: 0.7572 data_time: 0.0233 memory: 17350 grad_norm: 6.1277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9356 loss: 0.9356 2022/07/23 15:09:26 - mmengine - INFO - Epoch(train) [52][840/3757] lr: 1.0000e-03 eta: 1 day, 10:03:21 time: 0.5839 data_time: 0.0225 memory: 17350 grad_norm: 6.5759 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1331 loss: 1.1331 2022/07/23 15:09:41 - mmengine - INFO - Epoch(train) [52][860/3757] lr: 1.0000e-03 eta: 1 day, 10:03:09 time: 0.7678 data_time: 0.0248 memory: 17350 grad_norm: 6.4313 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4236 loss: 1.4236 2022/07/23 15:09:52 - mmengine - INFO - Epoch(train) [52][880/3757] lr: 1.0000e-03 eta: 1 day, 10:02:54 time: 0.5621 data_time: 0.0239 memory: 17350 grad_norm: 6.6574 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6509 loss: 1.6509 2022/07/23 15:10:08 - mmengine - INFO - Epoch(train) [52][900/3757] lr: 1.0000e-03 eta: 1 day, 10:02:42 time: 0.7723 data_time: 0.0233 memory: 17350 grad_norm: 6.5562 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2585 loss: 1.2585 2022/07/23 15:10:19 - mmengine - INFO - Epoch(train) [52][920/3757] lr: 1.0000e-03 eta: 1 day, 10:02:27 time: 0.5700 data_time: 0.0243 memory: 17350 grad_norm: 6.6756 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2402 loss: 1.2402 2022/07/23 15:10:36 - mmengine - INFO - Epoch(train) [52][940/3757] lr: 1.0000e-03 eta: 1 day, 10:02:17 time: 0.8552 data_time: 0.4558 memory: 17350 grad_norm: 6.3444 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3462 loss: 1.3462 2022/07/23 15:10:47 - mmengine - INFO - Epoch(train) [52][960/3757] lr: 1.0000e-03 eta: 1 day, 10:02:01 time: 0.5285 data_time: 0.1972 memory: 17350 grad_norm: 6.5742 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1934 loss: 1.1934 2022/07/23 15:11:01 - mmengine - INFO - Epoch(train) [52][980/3757] lr: 1.0000e-03 eta: 1 day, 10:01:49 time: 0.7165 data_time: 0.3795 memory: 17350 grad_norm: 6.2692 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3272 loss: 1.3272 2022/07/23 15:11:12 - mmengine - INFO - Epoch(train) [52][1000/3757] lr: 1.0000e-03 eta: 1 day, 10:01:33 time: 0.5465 data_time: 0.2105 memory: 17350 grad_norm: 6.4379 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0761 loss: 1.0761 2022/07/23 15:11:27 - mmengine - INFO - Epoch(train) [52][1020/3757] lr: 1.0000e-03 eta: 1 day, 10:01:21 time: 0.7415 data_time: 0.4071 memory: 17350 grad_norm: 6.5451 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2483 loss: 1.2483 2022/07/23 15:11:39 - mmengine - INFO - Epoch(train) [52][1040/3757] lr: 1.0000e-03 eta: 1 day, 10:01:06 time: 0.5877 data_time: 0.2464 memory: 17350 grad_norm: 6.6650 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1770 loss: 1.1770 2022/07/23 15:11:54 - mmengine - INFO - Epoch(train) [52][1060/3757] lr: 1.0000e-03 eta: 1 day, 10:00:54 time: 0.7597 data_time: 0.4240 memory: 17350 grad_norm: 6.2496 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1157 loss: 1.1157 2022/07/23 15:12:06 - mmengine - INFO - Epoch(train) [52][1080/3757] lr: 1.0000e-03 eta: 1 day, 10:00:40 time: 0.6142 data_time: 0.2858 memory: 17350 grad_norm: 6.8877 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2834 loss: 1.2834 2022/07/23 15:12:22 - mmengine - INFO - Epoch(train) [52][1100/3757] lr: 1.0000e-03 eta: 1 day, 10:00:29 time: 0.7820 data_time: 0.3406 memory: 17350 grad_norm: 6.3801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4408 loss: 1.4408 2022/07/23 15:12:33 - mmengine - INFO - Epoch(train) [52][1120/3757] lr: 1.0000e-03 eta: 1 day, 10:00:13 time: 0.5640 data_time: 0.0931 memory: 17350 grad_norm: 6.7340 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3807 loss: 1.3807 2022/07/23 15:12:48 - mmengine - INFO - Epoch(train) [52][1140/3757] lr: 1.0000e-03 eta: 1 day, 10:00:02 time: 0.7549 data_time: 0.3095 memory: 17350 grad_norm: 6.4328 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3886 loss: 1.3886 2022/07/23 15:13:02 - mmengine - INFO - Epoch(train) [52][1160/3757] lr: 1.0000e-03 eta: 1 day, 9:59:49 time: 0.7126 data_time: 0.0268 memory: 17350 grad_norm: 6.4704 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5278 loss: 1.5278 2022/07/23 15:13:16 - mmengine - INFO - Epoch(train) [52][1180/3757] lr: 1.0000e-03 eta: 1 day, 9:59:36 time: 0.6853 data_time: 0.0854 memory: 17350 grad_norm: 6.4360 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2507 loss: 1.2507 2022/07/23 15:13:28 - mmengine - INFO - Epoch(train) [52][1200/3757] lr: 1.0000e-03 eta: 1 day, 9:59:21 time: 0.5787 data_time: 0.0239 memory: 17350 grad_norm: 6.7288 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3295 loss: 1.3295 2022/07/23 15:13:43 - mmengine - INFO - Epoch(train) [52][1220/3757] lr: 1.0000e-03 eta: 1 day, 9:59:09 time: 0.7472 data_time: 0.0228 memory: 17350 grad_norm: 6.4448 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1545 loss: 1.1545 2022/07/23 15:13:55 - mmengine - INFO - Epoch(train) [52][1240/3757] lr: 1.0000e-03 eta: 1 day, 9:58:54 time: 0.6045 data_time: 0.0231 memory: 17350 grad_norm: 6.4607 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3223 loss: 1.3223 2022/07/23 15:14:10 - mmengine - INFO - Epoch(train) [52][1260/3757] lr: 1.0000e-03 eta: 1 day, 9:58:42 time: 0.7362 data_time: 0.0223 memory: 17350 grad_norm: 6.4017 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2699 loss: 1.2699 2022/07/23 15:14:22 - mmengine - INFO - Epoch(train) [52][1280/3757] lr: 1.0000e-03 eta: 1 day, 9:58:28 time: 0.6306 data_time: 0.0226 memory: 17350 grad_norm: 6.2401 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3925 loss: 1.3925 2022/07/23 15:14:36 - mmengine - INFO - Epoch(train) [52][1300/3757] lr: 1.0000e-03 eta: 1 day, 9:58:15 time: 0.6791 data_time: 0.0226 memory: 17350 grad_norm: 6.6054 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2023 loss: 1.2023 2022/07/23 15:14:48 - mmengine - INFO - Epoch(train) [52][1320/3757] lr: 1.0000e-03 eta: 1 day, 9:58:00 time: 0.5903 data_time: 0.0241 memory: 17350 grad_norm: 6.5654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3536 loss: 1.3536 2022/07/23 15:15:03 - mmengine - INFO - Epoch(train) [52][1340/3757] lr: 1.0000e-03 eta: 1 day, 9:57:49 time: 0.7943 data_time: 0.0206 memory: 17350 grad_norm: 6.3267 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5595 loss: 1.5595 2022/07/23 15:15:16 - mmengine - INFO - Epoch(train) [52][1360/3757] lr: 1.0000e-03 eta: 1 day, 9:57:35 time: 0.6056 data_time: 0.0282 memory: 17350 grad_norm: 6.5495 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4364 loss: 1.4364 2022/07/23 15:15:30 - mmengine - INFO - Epoch(train) [52][1380/3757] lr: 1.0000e-03 eta: 1 day, 9:57:23 time: 0.7421 data_time: 0.0222 memory: 17350 grad_norm: 6.5089 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3226 loss: 1.3226 2022/07/23 15:15:38 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 15:15:42 - mmengine - INFO - Epoch(train) [52][1400/3757] lr: 1.0000e-03 eta: 1 day, 9:57:08 time: 0.5885 data_time: 0.0234 memory: 17350 grad_norm: 6.5400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3888 loss: 1.3888 2022/07/23 15:15:57 - mmengine - INFO - Epoch(train) [52][1420/3757] lr: 1.0000e-03 eta: 1 day, 9:56:56 time: 0.7436 data_time: 0.0280 memory: 17350 grad_norm: 6.4901 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1778 loss: 1.1778 2022/07/23 15:16:10 - mmengine - INFO - Epoch(train) [52][1440/3757] lr: 1.0000e-03 eta: 1 day, 9:56:42 time: 0.6393 data_time: 0.0259 memory: 17350 grad_norm: 6.3763 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1261 loss: 1.1261 2022/07/23 15:16:24 - mmengine - INFO - Epoch(train) [52][1460/3757] lr: 1.0000e-03 eta: 1 day, 9:56:29 time: 0.7089 data_time: 0.0245 memory: 17350 grad_norm: 6.2460 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2293 loss: 1.2293 2022/07/23 15:16:36 - mmengine - INFO - Epoch(train) [52][1480/3757] lr: 1.0000e-03 eta: 1 day, 9:56:15 time: 0.6048 data_time: 0.0252 memory: 17350 grad_norm: 6.7294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4093 loss: 1.4093 2022/07/23 15:16:50 - mmengine - INFO - Epoch(train) [52][1500/3757] lr: 1.0000e-03 eta: 1 day, 9:56:01 time: 0.6768 data_time: 0.0225 memory: 17350 grad_norm: 6.2973 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3918 loss: 1.3918 2022/07/23 15:17:01 - mmengine - INFO - Epoch(train) [52][1520/3757] lr: 1.0000e-03 eta: 1 day, 9:55:46 time: 0.5559 data_time: 0.0232 memory: 17350 grad_norm: 6.3543 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.3385 loss: 1.3385 2022/07/23 15:17:16 - mmengine - INFO - Epoch(train) [52][1540/3757] lr: 1.0000e-03 eta: 1 day, 9:55:34 time: 0.7479 data_time: 0.0207 memory: 17350 grad_norm: 6.3216 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4550 loss: 1.4550 2022/07/23 15:17:28 - mmengine - INFO - Epoch(train) [52][1560/3757] lr: 1.0000e-03 eta: 1 day, 9:55:19 time: 0.5971 data_time: 0.0241 memory: 17350 grad_norm: 6.2914 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4904 loss: 1.4904 2022/07/23 15:17:43 - mmengine - INFO - Epoch(train) [52][1580/3757] lr: 1.0000e-03 eta: 1 day, 9:55:07 time: 0.7354 data_time: 0.0245 memory: 17350 grad_norm: 6.3488 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2826 loss: 1.2826 2022/07/23 15:17:55 - mmengine - INFO - Epoch(train) [52][1600/3757] lr: 1.0000e-03 eta: 1 day, 9:54:53 time: 0.6320 data_time: 0.1162 memory: 17350 grad_norm: 6.4470 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3480 loss: 1.3480 2022/07/23 15:18:08 - mmengine - INFO - Epoch(train) [52][1620/3757] lr: 1.0000e-03 eta: 1 day, 9:54:39 time: 0.6482 data_time: 0.1601 memory: 17350 grad_norm: 6.2892 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2619 loss: 1.2619 2022/07/23 15:18:22 - mmengine - INFO - Epoch(train) [52][1640/3757] lr: 1.0000e-03 eta: 1 day, 9:54:26 time: 0.6942 data_time: 0.3052 memory: 17350 grad_norm: 6.5181 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4247 loss: 1.4247 2022/07/23 15:18:36 - mmengine - INFO - Epoch(train) [52][1660/3757] lr: 1.0000e-03 eta: 1 day, 9:54:13 time: 0.6902 data_time: 0.2160 memory: 17350 grad_norm: 6.4759 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5140 loss: 1.5140 2022/07/23 15:18:49 - mmengine - INFO - Epoch(train) [52][1680/3757] lr: 1.0000e-03 eta: 1 day, 9:53:59 time: 0.6398 data_time: 0.1028 memory: 17350 grad_norm: 5.9958 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0320 loss: 1.0320 2022/07/23 15:19:02 - mmengine - INFO - Epoch(train) [52][1700/3757] lr: 1.0000e-03 eta: 1 day, 9:53:46 time: 0.6533 data_time: 0.0816 memory: 17350 grad_norm: 6.4217 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2218 loss: 1.2218 2022/07/23 15:19:17 - mmengine - INFO - Epoch(train) [52][1720/3757] lr: 1.0000e-03 eta: 1 day, 9:53:34 time: 0.7660 data_time: 0.2447 memory: 17350 grad_norm: 6.4493 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2707 loss: 1.2707 2022/07/23 15:19:29 - mmengine - INFO - Epoch(train) [52][1740/3757] lr: 1.0000e-03 eta: 1 day, 9:53:19 time: 0.5844 data_time: 0.1462 memory: 17350 grad_norm: 6.4237 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3438 loss: 1.3438 2022/07/23 15:19:42 - mmengine - INFO - Epoch(train) [52][1760/3757] lr: 1.0000e-03 eta: 1 day, 9:53:06 time: 0.6826 data_time: 0.2880 memory: 17350 grad_norm: 6.6351 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5944 loss: 1.5944 2022/07/23 15:19:56 - mmengine - INFO - Epoch(train) [52][1780/3757] lr: 1.0000e-03 eta: 1 day, 9:52:52 time: 0.6530 data_time: 0.2209 memory: 17350 grad_norm: 6.1735 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0932 loss: 1.0932 2022/07/23 15:20:09 - mmengine - INFO - Epoch(train) [52][1800/3757] lr: 1.0000e-03 eta: 1 day, 9:52:39 time: 0.6806 data_time: 0.2805 memory: 17350 grad_norm: 6.3644 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2383 loss: 1.2383 2022/07/23 15:20:21 - mmengine - INFO - Epoch(train) [52][1820/3757] lr: 1.0000e-03 eta: 1 day, 9:52:25 time: 0.6053 data_time: 0.2252 memory: 17350 grad_norm: 6.5227 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2209 loss: 1.2209 2022/07/23 15:20:35 - mmengine - INFO - Epoch(train) [52][1840/3757] lr: 1.0000e-03 eta: 1 day, 9:52:11 time: 0.6728 data_time: 0.2907 memory: 17350 grad_norm: 6.8310 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1780 loss: 1.1780 2022/07/23 15:20:48 - mmengine - INFO - Epoch(train) [52][1860/3757] lr: 1.0000e-03 eta: 1 day, 9:51:58 time: 0.6740 data_time: 0.3091 memory: 17350 grad_norm: 6.5924 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3219 loss: 1.3219 2022/07/23 15:21:01 - mmengine - INFO - Epoch(train) [52][1880/3757] lr: 1.0000e-03 eta: 1 day, 9:51:44 time: 0.6567 data_time: 0.3034 memory: 17350 grad_norm: 6.4106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1595 loss: 1.1595 2022/07/23 15:21:14 - mmengine - INFO - Epoch(train) [52][1900/3757] lr: 1.0000e-03 eta: 1 day, 9:51:31 time: 0.6517 data_time: 0.2716 memory: 17350 grad_norm: 6.5747 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1789 loss: 1.1789 2022/07/23 15:21:29 - mmengine - INFO - Epoch(train) [52][1920/3757] lr: 1.0000e-03 eta: 1 day, 9:51:18 time: 0.7118 data_time: 0.3546 memory: 17350 grad_norm: 6.3483 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4830 loss: 1.4830 2022/07/23 15:21:41 - mmengine - INFO - Epoch(train) [52][1940/3757] lr: 1.0000e-03 eta: 1 day, 9:51:04 time: 0.6038 data_time: 0.2534 memory: 17350 grad_norm: 6.4760 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4680 loss: 1.4680 2022/07/23 15:21:56 - mmengine - INFO - Epoch(train) [52][1960/3757] lr: 1.0000e-03 eta: 1 day, 9:50:52 time: 0.7455 data_time: 0.4138 memory: 17350 grad_norm: 6.5543 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4727 loss: 1.4727 2022/07/23 15:22:08 - mmengine - INFO - Epoch(train) [52][1980/3757] lr: 1.0000e-03 eta: 1 day, 9:50:37 time: 0.6093 data_time: 0.2723 memory: 17350 grad_norm: 6.4207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1937 loss: 1.1937 2022/07/23 15:22:22 - mmengine - INFO - Epoch(train) [52][2000/3757] lr: 1.0000e-03 eta: 1 day, 9:50:24 time: 0.6941 data_time: 0.3618 memory: 17350 grad_norm: 6.5710 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2667 loss: 1.2667 2022/07/23 15:22:34 - mmengine - INFO - Epoch(train) [52][2020/3757] lr: 1.0000e-03 eta: 1 day, 9:50:10 time: 0.6112 data_time: 0.2734 memory: 17350 grad_norm: 6.6770 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5720 loss: 1.5720 2022/07/23 15:22:49 - mmengine - INFO - Epoch(train) [52][2040/3757] lr: 1.0000e-03 eta: 1 day, 9:49:57 time: 0.7318 data_time: 0.3919 memory: 17350 grad_norm: 6.4623 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0699 loss: 1.0699 2022/07/23 15:23:01 - mmengine - INFO - Epoch(train) [52][2060/3757] lr: 1.0000e-03 eta: 1 day, 9:49:43 time: 0.5938 data_time: 0.2583 memory: 17350 grad_norm: 6.3676 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3120 loss: 1.3120 2022/07/23 15:23:16 - mmengine - INFO - Epoch(train) [52][2080/3757] lr: 1.0000e-03 eta: 1 day, 9:49:31 time: 0.7532 data_time: 0.3593 memory: 17350 grad_norm: 6.5412 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3218 loss: 1.3218 2022/07/23 15:23:28 - mmengine - INFO - Epoch(train) [52][2100/3757] lr: 1.0000e-03 eta: 1 day, 9:49:16 time: 0.5974 data_time: 0.2085 memory: 17350 grad_norm: 6.6224 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1095 loss: 1.1095 2022/07/23 15:23:42 - mmengine - INFO - Epoch(train) [52][2120/3757] lr: 1.0000e-03 eta: 1 day, 9:49:04 time: 0.7342 data_time: 0.2434 memory: 17350 grad_norm: 6.3100 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1533 loss: 1.1533 2022/07/23 15:23:54 - mmengine - INFO - Epoch(train) [52][2140/3757] lr: 1.0000e-03 eta: 1 day, 9:48:49 time: 0.5906 data_time: 0.0558 memory: 17350 grad_norm: 6.5413 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3270 loss: 1.3270 2022/07/23 15:24:08 - mmengine - INFO - Epoch(train) [52][2160/3757] lr: 1.0000e-03 eta: 1 day, 9:48:37 time: 0.7128 data_time: 0.2686 memory: 17350 grad_norm: 6.7532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2078 loss: 1.2078 2022/07/23 15:24:21 - mmengine - INFO - Epoch(train) [52][2180/3757] lr: 1.0000e-03 eta: 1 day, 9:48:23 time: 0.6518 data_time: 0.1391 memory: 17350 grad_norm: 6.4284 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1075 loss: 1.1075 2022/07/23 15:24:35 - mmengine - INFO - Epoch(train) [52][2200/3757] lr: 1.0000e-03 eta: 1 day, 9:48:09 time: 0.6594 data_time: 0.1762 memory: 17350 grad_norm: 6.4936 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2839 loss: 1.2839 2022/07/23 15:24:49 - mmengine - INFO - Epoch(train) [52][2220/3757] lr: 1.0000e-03 eta: 1 day, 9:47:57 time: 0.7007 data_time: 0.0512 memory: 17350 grad_norm: 6.3005 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2671 loss: 1.2671 2022/07/23 15:25:02 - mmengine - INFO - Epoch(train) [52][2240/3757] lr: 1.0000e-03 eta: 1 day, 9:47:44 time: 0.6892 data_time: 0.0387 memory: 17350 grad_norm: 6.6005 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3969 loss: 1.3969 2022/07/23 15:25:16 - mmengine - INFO - Epoch(train) [52][2260/3757] lr: 1.0000e-03 eta: 1 day, 9:47:30 time: 0.6738 data_time: 0.0819 memory: 17350 grad_norm: 6.3122 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3887 loss: 1.3887 2022/07/23 15:25:31 - mmengine - INFO - Epoch(train) [52][2280/3757] lr: 1.0000e-03 eta: 1 day, 9:47:19 time: 0.7585 data_time: 0.0235 memory: 17350 grad_norm: 6.4914 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2812 loss: 1.2812 2022/07/23 15:25:43 - mmengine - INFO - Epoch(train) [52][2300/3757] lr: 1.0000e-03 eta: 1 day, 9:47:04 time: 0.5856 data_time: 0.0246 memory: 17350 grad_norm: 6.7703 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3069 loss: 1.3069 2022/07/23 15:25:58 - mmengine - INFO - Epoch(train) [52][2320/3757] lr: 1.0000e-03 eta: 1 day, 9:46:52 time: 0.7383 data_time: 0.0219 memory: 17350 grad_norm: 6.6196 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1764 loss: 1.1764 2022/07/23 15:26:10 - mmengine - INFO - Epoch(train) [52][2340/3757] lr: 1.0000e-03 eta: 1 day, 9:46:37 time: 0.6190 data_time: 0.0233 memory: 17350 grad_norm: 6.8431 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3988 loss: 1.3988 2022/07/23 15:26:24 - mmengine - INFO - Epoch(train) [52][2360/3757] lr: 1.0000e-03 eta: 1 day, 9:46:24 time: 0.6974 data_time: 0.0248 memory: 17350 grad_norm: 6.3759 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4268 loss: 1.4268 2022/07/23 15:26:35 - mmengine - INFO - Epoch(train) [52][2380/3757] lr: 1.0000e-03 eta: 1 day, 9:46:09 time: 0.5553 data_time: 0.0238 memory: 17350 grad_norm: 6.3701 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2559 loss: 1.2559 2022/07/23 15:26:44 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 15:26:48 - mmengine - INFO - Epoch(train) [52][2400/3757] lr: 1.0000e-03 eta: 1 day, 9:45:55 time: 0.6660 data_time: 0.0235 memory: 17350 grad_norm: 6.2437 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0272 loss: 1.0272 2022/07/23 15:27:01 - mmengine - INFO - Epoch(train) [52][2420/3757] lr: 1.0000e-03 eta: 1 day, 9:45:42 time: 0.6424 data_time: 0.0241 memory: 17350 grad_norm: 6.6051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2444 loss: 1.2444 2022/07/23 15:27:16 - mmengine - INFO - Epoch(train) [52][2440/3757] lr: 1.0000e-03 eta: 1 day, 9:45:30 time: 0.7471 data_time: 0.0266 memory: 17350 grad_norm: 6.8483 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4266 loss: 1.4266 2022/07/23 15:27:30 - mmengine - INFO - Epoch(train) [52][2460/3757] lr: 1.0000e-03 eta: 1 day, 9:45:16 time: 0.6742 data_time: 0.0252 memory: 17350 grad_norm: 6.4923 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3368 loss: 1.3368 2022/07/23 15:27:43 - mmengine - INFO - Epoch(train) [52][2480/3757] lr: 1.0000e-03 eta: 1 day, 9:45:03 time: 0.6585 data_time: 0.0263 memory: 17350 grad_norm: 6.4592 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4362 loss: 1.4362 2022/07/23 15:27:57 - mmengine - INFO - Epoch(train) [52][2500/3757] lr: 1.0000e-03 eta: 1 day, 9:44:50 time: 0.6849 data_time: 0.0229 memory: 17350 grad_norm: 6.5268 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9306 loss: 0.9306 2022/07/23 15:28:10 - mmengine - INFO - Epoch(train) [52][2520/3757] lr: 1.0000e-03 eta: 1 day, 9:44:36 time: 0.6549 data_time: 0.0235 memory: 17350 grad_norm: 6.4672 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9685 loss: 0.9685 2022/07/23 15:28:23 - mmengine - INFO - Epoch(train) [52][2540/3757] lr: 1.0000e-03 eta: 1 day, 9:44:22 time: 0.6525 data_time: 0.0241 memory: 17350 grad_norm: 6.7405 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4311 loss: 1.4311 2022/07/23 15:28:36 - mmengine - INFO - Epoch(train) [52][2560/3757] lr: 1.0000e-03 eta: 1 day, 9:44:09 time: 0.6630 data_time: 0.0206 memory: 17350 grad_norm: 6.5383 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5144 loss: 1.5144 2022/07/23 15:28:48 - mmengine - INFO - Epoch(train) [52][2580/3757] lr: 1.0000e-03 eta: 1 day, 9:43:54 time: 0.6072 data_time: 0.0247 memory: 17350 grad_norm: 6.4539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5489 loss: 1.5489 2022/07/23 15:29:02 - mmengine - INFO - Epoch(train) [52][2600/3757] lr: 1.0000e-03 eta: 1 day, 9:43:41 time: 0.6860 data_time: 0.0240 memory: 17350 grad_norm: 6.7334 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5167 loss: 1.5167 2022/07/23 15:29:15 - mmengine - INFO - Epoch(train) [52][2620/3757] lr: 1.0000e-03 eta: 1 day, 9:43:27 time: 0.6493 data_time: 0.0239 memory: 17350 grad_norm: 6.5885 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1380 loss: 1.1380 2022/07/23 15:29:29 - mmengine - INFO - Epoch(train) [52][2640/3757] lr: 1.0000e-03 eta: 1 day, 9:43:15 time: 0.6908 data_time: 0.0225 memory: 17350 grad_norm: 6.5669 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3948 loss: 1.3948 2022/07/23 15:29:42 - mmengine - INFO - Epoch(train) [52][2660/3757] lr: 1.0000e-03 eta: 1 day, 9:43:01 time: 0.6370 data_time: 0.0233 memory: 17350 grad_norm: 6.5230 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2149 loss: 1.2149 2022/07/23 15:29:55 - mmengine - INFO - Epoch(train) [52][2680/3757] lr: 1.0000e-03 eta: 1 day, 9:42:48 time: 0.6955 data_time: 0.0326 memory: 17350 grad_norm: 6.4761 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2123 loss: 1.2123 2022/07/23 15:30:09 - mmengine - INFO - Epoch(train) [52][2700/3757] lr: 1.0000e-03 eta: 1 day, 9:42:34 time: 0.6744 data_time: 0.0547 memory: 17350 grad_norm: 6.1388 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1643 loss: 1.1643 2022/07/23 15:30:23 - mmengine - INFO - Epoch(train) [52][2720/3757] lr: 1.0000e-03 eta: 1 day, 9:42:21 time: 0.6761 data_time: 0.0488 memory: 17350 grad_norm: 6.5504 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2481 loss: 1.2481 2022/07/23 15:30:36 - mmengine - INFO - Epoch(train) [52][2740/3757] lr: 1.0000e-03 eta: 1 day, 9:42:08 time: 0.6783 data_time: 0.0427 memory: 17350 grad_norm: 6.4874 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1089 loss: 1.1089 2022/07/23 15:30:49 - mmengine - INFO - Epoch(train) [52][2760/3757] lr: 1.0000e-03 eta: 1 day, 9:41:54 time: 0.6230 data_time: 0.0198 memory: 17350 grad_norm: 6.8619 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3937 loss: 1.3937 2022/07/23 15:31:04 - mmengine - INFO - Epoch(train) [52][2780/3757] lr: 1.0000e-03 eta: 1 day, 9:41:42 time: 0.7654 data_time: 0.0545 memory: 17350 grad_norm: 6.3341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3603 loss: 1.3603 2022/07/23 15:31:15 - mmengine - INFO - Epoch(train) [52][2800/3757] lr: 1.0000e-03 eta: 1 day, 9:41:27 time: 0.5693 data_time: 0.0238 memory: 17350 grad_norm: 6.2844 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1945 loss: 1.1945 2022/07/23 15:31:30 - mmengine - INFO - Epoch(train) [52][2820/3757] lr: 1.0000e-03 eta: 1 day, 9:41:15 time: 0.7557 data_time: 0.0258 memory: 17350 grad_norm: 6.6411 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5855 loss: 1.5855 2022/07/23 15:31:42 - mmengine - INFO - Epoch(train) [52][2840/3757] lr: 1.0000e-03 eta: 1 day, 9:41:00 time: 0.5733 data_time: 0.0271 memory: 17350 grad_norm: 6.8895 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6187 loss: 1.6187 2022/07/23 15:31:57 - mmengine - INFO - Epoch(train) [52][2860/3757] lr: 1.0000e-03 eta: 1 day, 9:40:48 time: 0.7494 data_time: 0.0202 memory: 17350 grad_norm: 6.6940 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4242 loss: 1.4242 2022/07/23 15:32:08 - mmengine - INFO - Epoch(train) [52][2880/3757] lr: 1.0000e-03 eta: 1 day, 9:40:33 time: 0.5784 data_time: 0.0241 memory: 17350 grad_norm: 6.6202 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1174 loss: 1.1174 2022/07/23 15:32:24 - mmengine - INFO - Epoch(train) [52][2900/3757] lr: 1.0000e-03 eta: 1 day, 9:40:21 time: 0.7528 data_time: 0.0222 memory: 17350 grad_norm: 6.1748 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2766 loss: 1.2766 2022/07/23 15:32:36 - mmengine - INFO - Epoch(train) [52][2920/3757] lr: 1.0000e-03 eta: 1 day, 9:40:07 time: 0.6174 data_time: 0.0224 memory: 17350 grad_norm: 6.3380 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2993 loss: 1.2993 2022/07/23 15:32:51 - mmengine - INFO - Epoch(train) [52][2940/3757] lr: 1.0000e-03 eta: 1 day, 9:39:55 time: 0.7389 data_time: 0.0353 memory: 17350 grad_norm: 6.5456 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 1.3476 loss: 1.3476 2022/07/23 15:33:02 - mmengine - INFO - Epoch(train) [52][2960/3757] lr: 1.0000e-03 eta: 1 day, 9:39:39 time: 0.5564 data_time: 0.0252 memory: 17350 grad_norm: 6.4963 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0364 loss: 1.0364 2022/07/23 15:33:16 - mmengine - INFO - Epoch(train) [52][2980/3757] lr: 1.0000e-03 eta: 1 day, 9:39:27 time: 0.7132 data_time: 0.0485 memory: 17350 grad_norm: 6.4693 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1380 loss: 1.1380 2022/07/23 15:33:29 - mmengine - INFO - Epoch(train) [52][3000/3757] lr: 1.0000e-03 eta: 1 day, 9:39:13 time: 0.6301 data_time: 0.0313 memory: 17350 grad_norm: 6.5079 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5186 loss: 1.5186 2022/07/23 15:33:44 - mmengine - INFO - Epoch(train) [52][3020/3757] lr: 1.0000e-03 eta: 1 day, 9:39:01 time: 0.7586 data_time: 0.0230 memory: 17350 grad_norm: 6.6259 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3262 loss: 1.3262 2022/07/23 15:33:56 - mmengine - INFO - Epoch(train) [52][3040/3757] lr: 1.0000e-03 eta: 1 day, 9:38:46 time: 0.6041 data_time: 0.0223 memory: 17350 grad_norm: 6.3580 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2696 loss: 1.2696 2022/07/23 15:34:10 - mmengine - INFO - Epoch(train) [52][3060/3757] lr: 1.0000e-03 eta: 1 day, 9:38:34 time: 0.7024 data_time: 0.0237 memory: 17350 grad_norm: 6.6977 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3665 loss: 1.3665 2022/07/23 15:34:23 - mmengine - INFO - Epoch(train) [52][3080/3757] lr: 1.0000e-03 eta: 1 day, 9:38:20 time: 0.6649 data_time: 0.0242 memory: 17350 grad_norm: 6.5509 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6234 loss: 1.6234 2022/07/23 15:34:37 - mmengine - INFO - Epoch(train) [52][3100/3757] lr: 1.0000e-03 eta: 1 day, 9:38:07 time: 0.6946 data_time: 0.0238 memory: 17350 grad_norm: 6.3609 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2773 loss: 1.2773 2022/07/23 15:34:50 - mmengine - INFO - Epoch(train) [52][3120/3757] lr: 1.0000e-03 eta: 1 day, 9:37:53 time: 0.6217 data_time: 0.0334 memory: 17350 grad_norm: 6.6151 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3357 loss: 1.3357 2022/07/23 15:35:04 - mmengine - INFO - Epoch(train) [52][3140/3757] lr: 1.0000e-03 eta: 1 day, 9:37:41 time: 0.7223 data_time: 0.0229 memory: 17350 grad_norm: 6.6164 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3029 loss: 1.3029 2022/07/23 15:35:16 - mmengine - INFO - Epoch(train) [52][3160/3757] lr: 1.0000e-03 eta: 1 day, 9:37:26 time: 0.5886 data_time: 0.0258 memory: 17350 grad_norm: 6.4947 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9795 loss: 0.9795 2022/07/23 15:35:30 - mmengine - INFO - Epoch(train) [52][3180/3757] lr: 1.0000e-03 eta: 1 day, 9:37:12 time: 0.6806 data_time: 0.0229 memory: 17350 grad_norm: 6.5979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2565 loss: 1.2565 2022/07/23 15:35:42 - mmengine - INFO - Epoch(train) [52][3200/3757] lr: 1.0000e-03 eta: 1 day, 9:36:58 time: 0.5959 data_time: 0.0236 memory: 17350 grad_norm: 6.7952 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3071 loss: 1.3071 2022/07/23 15:35:55 - mmengine - INFO - Epoch(train) [52][3220/3757] lr: 1.0000e-03 eta: 1 day, 9:36:45 time: 0.6839 data_time: 0.0271 memory: 17350 grad_norm: 6.4699 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0907 loss: 1.0907 2022/07/23 15:36:09 - mmengine - INFO - Epoch(train) [52][3240/3757] lr: 1.0000e-03 eta: 1 day, 9:36:31 time: 0.6787 data_time: 0.0224 memory: 17350 grad_norm: 6.5428 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2922 loss: 1.2922 2022/07/23 15:36:22 - mmengine - INFO - Epoch(train) [52][3260/3757] lr: 1.0000e-03 eta: 1 day, 9:36:18 time: 0.6393 data_time: 0.0317 memory: 17350 grad_norm: 6.6126 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2559 loss: 1.2559 2022/07/23 15:36:35 - mmengine - INFO - Epoch(train) [52][3280/3757] lr: 1.0000e-03 eta: 1 day, 9:36:04 time: 0.6801 data_time: 0.0238 memory: 17350 grad_norm: 6.6012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0987 loss: 1.0987 2022/07/23 15:36:50 - mmengine - INFO - Epoch(train) [52][3300/3757] lr: 1.0000e-03 eta: 1 day, 9:35:52 time: 0.7269 data_time: 0.0217 memory: 17350 grad_norm: 6.3547 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0622 loss: 1.0622 2022/07/23 15:37:03 - mmengine - INFO - Epoch(train) [52][3320/3757] lr: 1.0000e-03 eta: 1 day, 9:35:38 time: 0.6468 data_time: 0.0222 memory: 17350 grad_norm: 6.6834 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3649 loss: 1.3649 2022/07/23 15:37:16 - mmengine - INFO - Epoch(train) [52][3340/3757] lr: 1.0000e-03 eta: 1 day, 9:35:25 time: 0.6872 data_time: 0.0261 memory: 17350 grad_norm: 6.4310 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9732 loss: 0.9732 2022/07/23 15:37:28 - mmengine - INFO - Epoch(train) [52][3360/3757] lr: 1.0000e-03 eta: 1 day, 9:35:11 time: 0.5998 data_time: 0.0234 memory: 17350 grad_norm: 6.5997 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1618 loss: 1.1618 2022/07/23 15:37:42 - mmengine - INFO - Epoch(train) [52][3380/3757] lr: 1.0000e-03 eta: 1 day, 9:34:58 time: 0.6918 data_time: 0.0228 memory: 17350 grad_norm: 6.8074 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4696 loss: 1.4696 2022/07/23 15:37:51 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 15:37:55 - mmengine - INFO - Epoch(train) [52][3400/3757] lr: 1.0000e-03 eta: 1 day, 9:34:43 time: 0.6311 data_time: 0.0244 memory: 17350 grad_norm: 6.4437 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4144 loss: 1.4144 2022/07/23 15:38:08 - mmengine - INFO - Epoch(train) [52][3420/3757] lr: 1.0000e-03 eta: 1 day, 9:34:30 time: 0.6698 data_time: 0.0208 memory: 17350 grad_norm: 6.4245 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3943 loss: 1.3943 2022/07/23 15:38:21 - mmengine - INFO - Epoch(train) [52][3440/3757] lr: 1.0000e-03 eta: 1 day, 9:34:16 time: 0.6304 data_time: 0.0220 memory: 17350 grad_norm: 6.3774 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2529 loss: 1.2529 2022/07/23 15:38:35 - mmengine - INFO - Epoch(train) [52][3460/3757] lr: 1.0000e-03 eta: 1 day, 9:34:03 time: 0.7131 data_time: 0.0264 memory: 17350 grad_norm: 6.3584 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3743 loss: 1.3743 2022/07/23 15:38:49 - mmengine - INFO - Epoch(train) [52][3480/3757] lr: 1.0000e-03 eta: 1 day, 9:33:50 time: 0.6759 data_time: 0.0222 memory: 17350 grad_norm: 6.1498 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2524 loss: 1.2524 2022/07/23 15:39:02 - mmengine - INFO - Epoch(train) [52][3500/3757] lr: 1.0000e-03 eta: 1 day, 9:33:37 time: 0.6661 data_time: 0.0488 memory: 17350 grad_norm: 6.5103 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1981 loss: 1.1981 2022/07/23 15:39:16 - mmengine - INFO - Epoch(train) [52][3520/3757] lr: 1.0000e-03 eta: 1 day, 9:33:24 time: 0.7175 data_time: 0.0353 memory: 17350 grad_norm: 6.7077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3984 loss: 1.3984 2022/07/23 15:39:29 - mmengine - INFO - Epoch(train) [52][3540/3757] lr: 1.0000e-03 eta: 1 day, 9:33:10 time: 0.6273 data_time: 0.0238 memory: 17350 grad_norm: 6.6564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2179 loss: 1.2179 2022/07/23 15:39:44 - mmengine - INFO - Epoch(train) [52][3560/3757] lr: 1.0000e-03 eta: 1 day, 9:32:58 time: 0.7322 data_time: 0.0240 memory: 17350 grad_norm: 6.2668 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2755 loss: 1.2755 2022/07/23 15:39:56 - mmengine - INFO - Epoch(train) [52][3580/3757] lr: 1.0000e-03 eta: 1 day, 9:32:44 time: 0.6394 data_time: 0.0254 memory: 17350 grad_norm: 6.5640 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1904 loss: 1.1904 2022/07/23 15:40:10 - mmengine - INFO - Epoch(train) [52][3600/3757] lr: 1.0000e-03 eta: 1 day, 9:32:31 time: 0.6779 data_time: 0.0219 memory: 17350 grad_norm: 6.5640 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2477 loss: 1.2477 2022/07/23 15:40:25 - mmengine - INFO - Epoch(train) [52][3620/3757] lr: 1.0000e-03 eta: 1 day, 9:32:18 time: 0.7273 data_time: 0.0227 memory: 17350 grad_norm: 6.4270 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2517 loss: 1.2517 2022/07/23 15:40:36 - mmengine - INFO - Epoch(train) [52][3640/3757] lr: 1.0000e-03 eta: 1 day, 9:32:03 time: 0.5679 data_time: 0.0253 memory: 17350 grad_norm: 6.6441 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2233 loss: 1.2233 2022/07/23 15:40:49 - mmengine - INFO - Epoch(train) [52][3660/3757] lr: 1.0000e-03 eta: 1 day, 9:31:50 time: 0.6620 data_time: 0.0209 memory: 17350 grad_norm: 6.5568 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3242 loss: 1.3242 2022/07/23 15:41:02 - mmengine - INFO - Epoch(train) [52][3680/3757] lr: 1.0000e-03 eta: 1 day, 9:31:36 time: 0.6627 data_time: 0.0237 memory: 17350 grad_norm: 6.4741 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5681 loss: 1.5681 2022/07/23 15:41:16 - mmengine - INFO - Epoch(train) [52][3700/3757] lr: 1.0000e-03 eta: 1 day, 9:31:23 time: 0.6850 data_time: 0.0237 memory: 17350 grad_norm: 6.5265 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2029 loss: 1.2029 2022/07/23 15:41:29 - mmengine - INFO - Epoch(train) [52][3720/3757] lr: 1.0000e-03 eta: 1 day, 9:31:10 time: 0.6633 data_time: 0.0223 memory: 17350 grad_norm: 6.5317 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4070 loss: 1.4070 2022/07/23 15:41:44 - mmengine - INFO - Epoch(train) [52][3740/3757] lr: 1.0000e-03 eta: 1 day, 9:30:57 time: 0.7237 data_time: 0.0278 memory: 17350 grad_norm: 6.2935 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3014 loss: 1.3014 2022/07/23 15:41:52 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 15:41:52 - mmengine - INFO - Epoch(train) [52][3757/3757] lr: 1.0000e-03 eta: 1 day, 9:30:57 time: 0.5326 data_time: 0.0219 memory: 17350 grad_norm: 6.5311 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.2847 loss: 1.2847 2022/07/23 15:42:09 - mmengine - INFO - Epoch(val) [52][20/310] eta: 0:04:09 time: 0.8597 data_time: 0.7459 memory: 3406 2022/07/23 15:42:20 - mmengine - INFO - Epoch(val) [52][40/310] eta: 0:02:34 time: 0.5723 data_time: 0.4607 memory: 3406 2022/07/23 15:42:36 - mmengine - INFO - Epoch(val) [52][60/310] eta: 0:03:11 time: 0.7640 data_time: 0.6487 memory: 3406 2022/07/23 15:42:46 - mmengine - INFO - Epoch(val) [52][80/310] eta: 0:02:02 time: 0.5330 data_time: 0.4210 memory: 3406 2022/07/23 15:43:01 - mmengine - INFO - Epoch(val) [52][100/310] eta: 0:02:32 time: 0.7273 data_time: 0.6092 memory: 3406 2022/07/23 15:43:12 - mmengine - INFO - Epoch(val) [52][120/310] eta: 0:01:46 time: 0.5627 data_time: 0.4470 memory: 3406 2022/07/23 15:43:27 - mmengine - INFO - Epoch(val) [52][140/310] eta: 0:02:10 time: 0.7673 data_time: 0.6543 memory: 3406 2022/07/23 15:43:39 - mmengine - INFO - Epoch(val) [52][160/310] eta: 0:01:28 time: 0.5930 data_time: 0.4808 memory: 3406 2022/07/23 15:43:53 - mmengine - INFO - Epoch(val) [52][180/310] eta: 0:01:27 time: 0.6735 data_time: 0.5603 memory: 3406 2022/07/23 15:44:06 - mmengine - INFO - Epoch(val) [52][200/310] eta: 0:01:11 time: 0.6460 data_time: 0.5314 memory: 3406 2022/07/23 15:44:19 - mmengine - INFO - Epoch(val) [52][220/310] eta: 0:01:01 time: 0.6818 data_time: 0.5671 memory: 3406 2022/07/23 15:44:32 - mmengine - INFO - Epoch(val) [52][240/310] eta: 0:00:44 time: 0.6342 data_time: 0.5207 memory: 3406 2022/07/23 15:44:47 - mmengine - INFO - Epoch(val) [52][260/310] eta: 0:00:36 time: 0.7299 data_time: 0.6188 memory: 3406 2022/07/23 15:45:00 - mmengine - INFO - Epoch(val) [52][280/310] eta: 0:00:20 time: 0.6824 data_time: 0.5683 memory: 3406 2022/07/23 15:45:15 - mmengine - INFO - Epoch(val) [52][300/310] eta: 0:00:07 time: 0.7180 data_time: 0.6033 memory: 3406 2022/07/23 15:45:20 - mmengine - INFO - Epoch(val) [52][310/310] acc/top1: 0.6736 acc/top5: 0.8728 acc/mean1: 0.6735 2022/07/23 15:45:21 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_51.pth is removed 2022/07/23 15:45:22 - mmengine - INFO - The best checkpoint with 0.6736 acc/top1 at 53 epoch is saved to best_acc/top1_epoch_53.pth. 2022/07/23 15:45:44 - mmengine - INFO - Epoch(train) [53][20/3757] lr: 1.0000e-03 eta: 1 day, 9:30:29 time: 1.0586 data_time: 0.5504 memory: 17350 grad_norm: 6.5964 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2981 loss: 1.2981 2022/07/23 15:45:55 - mmengine - INFO - Epoch(train) [53][40/3757] lr: 1.0000e-03 eta: 1 day, 9:30:14 time: 0.5530 data_time: 0.2216 memory: 17350 grad_norm: 6.4495 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3451 loss: 1.3451 2022/07/23 15:46:09 - mmengine - INFO - Epoch(train) [53][60/3757] lr: 1.0000e-03 eta: 1 day, 9:30:01 time: 0.6919 data_time: 0.3573 memory: 17350 grad_norm: 6.4475 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0857 loss: 1.0857 2022/07/23 15:46:20 - mmengine - INFO - Epoch(train) [53][80/3757] lr: 1.0000e-03 eta: 1 day, 9:29:46 time: 0.5753 data_time: 0.2305 memory: 17350 grad_norm: 6.8079 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2097 loss: 1.2097 2022/07/23 15:46:35 - mmengine - INFO - Epoch(train) [53][100/3757] lr: 1.0000e-03 eta: 1 day, 9:29:34 time: 0.7357 data_time: 0.3951 memory: 17350 grad_norm: 6.7437 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0754 loss: 1.0754 2022/07/23 15:46:46 - mmengine - INFO - Epoch(train) [53][120/3757] lr: 1.0000e-03 eta: 1 day, 9:29:18 time: 0.5764 data_time: 0.2480 memory: 17350 grad_norm: 6.7891 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3468 loss: 1.3468 2022/07/23 15:47:01 - mmengine - INFO - Epoch(train) [53][140/3757] lr: 1.0000e-03 eta: 1 day, 9:29:06 time: 0.7268 data_time: 0.3898 memory: 17350 grad_norm: 6.4716 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4138 loss: 1.4138 2022/07/23 15:47:14 - mmengine - INFO - Epoch(train) [53][160/3757] lr: 1.0000e-03 eta: 1 day, 9:28:52 time: 0.6383 data_time: 0.2424 memory: 17350 grad_norm: 6.4032 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2087 loss: 1.2087 2022/07/23 15:47:28 - mmengine - INFO - Epoch(train) [53][180/3757] lr: 1.0000e-03 eta: 1 day, 9:28:39 time: 0.6984 data_time: 0.3632 memory: 17350 grad_norm: 6.6759 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2964 loss: 1.2964 2022/07/23 15:47:40 - mmengine - INFO - Epoch(train) [53][200/3757] lr: 1.0000e-03 eta: 1 day, 9:28:25 time: 0.6114 data_time: 0.2522 memory: 17350 grad_norm: 6.8118 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4050 loss: 1.4050 2022/07/23 15:47:54 - mmengine - INFO - Epoch(train) [53][220/3757] lr: 1.0000e-03 eta: 1 day, 9:28:12 time: 0.7052 data_time: 0.3777 memory: 17350 grad_norm: 6.5037 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3249 loss: 1.3249 2022/07/23 15:48:06 - mmengine - INFO - Epoch(train) [53][240/3757] lr: 1.0000e-03 eta: 1 day, 9:27:58 time: 0.6207 data_time: 0.2807 memory: 17350 grad_norm: 6.6208 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2781 loss: 1.2781 2022/07/23 15:48:21 - mmengine - INFO - Epoch(train) [53][260/3757] lr: 1.0000e-03 eta: 1 day, 9:27:46 time: 0.7443 data_time: 0.4160 memory: 17350 grad_norm: 6.5849 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2365 loss: 1.2365 2022/07/23 15:48:33 - mmengine - INFO - Epoch(train) [53][280/3757] lr: 1.0000e-03 eta: 1 day, 9:27:31 time: 0.6075 data_time: 0.2788 memory: 17350 grad_norm: 6.4763 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2163 loss: 1.2163 2022/07/23 15:48:48 - mmengine - INFO - Epoch(train) [53][300/3757] lr: 1.0000e-03 eta: 1 day, 9:27:19 time: 0.7295 data_time: 0.3834 memory: 17350 grad_norm: 6.3609 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2199 loss: 1.2199 2022/07/23 15:49:01 - mmengine - INFO - Epoch(train) [53][320/3757] lr: 1.0000e-03 eta: 1 day, 9:27:05 time: 0.6226 data_time: 0.2774 memory: 17350 grad_norm: 6.4312 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2621 loss: 1.2621 2022/07/23 15:49:15 - mmengine - INFO - Epoch(train) [53][340/3757] lr: 1.0000e-03 eta: 1 day, 9:26:53 time: 0.7305 data_time: 0.3929 memory: 17350 grad_norm: 6.6071 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1018 loss: 1.1018 2022/07/23 15:49:28 - mmengine - INFO - Epoch(train) [53][360/3757] lr: 1.0000e-03 eta: 1 day, 9:26:39 time: 0.6475 data_time: 0.2783 memory: 17350 grad_norm: 6.1352 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1013 loss: 1.1013 2022/07/23 15:49:42 - mmengine - INFO - Epoch(train) [53][380/3757] lr: 1.0000e-03 eta: 1 day, 9:26:26 time: 0.6955 data_time: 0.3167 memory: 17350 grad_norm: 6.5625 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0031 loss: 1.0031 2022/07/23 15:49:55 - mmengine - INFO - Epoch(train) [53][400/3757] lr: 1.0000e-03 eta: 1 day, 9:26:12 time: 0.6434 data_time: 0.2546 memory: 17350 grad_norm: 6.3718 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3105 loss: 1.3105 2022/07/23 15:50:09 - mmengine - INFO - Epoch(train) [53][420/3757] lr: 1.0000e-03 eta: 1 day, 9:26:00 time: 0.7099 data_time: 0.3055 memory: 17350 grad_norm: 6.5838 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1772 loss: 1.1772 2022/07/23 15:50:22 - mmengine - INFO - Epoch(train) [53][440/3757] lr: 1.0000e-03 eta: 1 day, 9:25:46 time: 0.6399 data_time: 0.2382 memory: 17350 grad_norm: 6.8157 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2365 loss: 1.2365 2022/07/23 15:50:36 - mmengine - INFO - Epoch(train) [53][460/3757] lr: 1.0000e-03 eta: 1 day, 9:25:33 time: 0.7063 data_time: 0.3494 memory: 17350 grad_norm: 6.3091 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2326 loss: 1.2326 2022/07/23 15:50:48 - mmengine - INFO - Epoch(train) [53][480/3757] lr: 1.0000e-03 eta: 1 day, 9:25:19 time: 0.6147 data_time: 0.2703 memory: 17350 grad_norm: 6.4990 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1564 loss: 1.1564 2022/07/23 15:51:03 - mmengine - INFO - Epoch(train) [53][500/3757] lr: 1.0000e-03 eta: 1 day, 9:25:06 time: 0.7299 data_time: 0.3935 memory: 17350 grad_norm: 6.4915 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3533 loss: 1.3533 2022/07/23 15:51:15 - mmengine - INFO - Epoch(train) [53][520/3757] lr: 1.0000e-03 eta: 1 day, 9:24:52 time: 0.6032 data_time: 0.2432 memory: 17350 grad_norm: 6.6660 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4849 loss: 1.4849 2022/07/23 15:51:30 - mmengine - INFO - Epoch(train) [53][540/3757] lr: 1.0000e-03 eta: 1 day, 9:24:40 time: 0.7431 data_time: 0.4100 memory: 17350 grad_norm: 6.4673 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2669 loss: 1.2669 2022/07/23 15:51:41 - mmengine - INFO - Epoch(train) [53][560/3757] lr: 1.0000e-03 eta: 1 day, 9:24:24 time: 0.5675 data_time: 0.2238 memory: 17350 grad_norm: 6.7042 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1857 loss: 1.1857 2022/07/23 15:51:55 - mmengine - INFO - Epoch(train) [53][580/3757] lr: 1.0000e-03 eta: 1 day, 9:24:11 time: 0.6877 data_time: 0.3183 memory: 17350 grad_norm: 6.7926 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2393 loss: 1.2393 2022/07/23 15:52:09 - mmengine - INFO - Epoch(train) [53][600/3757] lr: 1.0000e-03 eta: 1 day, 9:23:58 time: 0.6717 data_time: 0.0223 memory: 17350 grad_norm: 6.5420 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0172 loss: 1.0172 2022/07/23 15:52:22 - mmengine - INFO - Epoch(train) [53][620/3757] lr: 1.0000e-03 eta: 1 day, 9:23:44 time: 0.6526 data_time: 0.0852 memory: 17350 grad_norm: 6.7766 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1469 loss: 1.1469 2022/07/23 15:52:32 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 15:52:35 - mmengine - INFO - Epoch(train) [53][640/3757] lr: 1.0000e-03 eta: 1 day, 9:23:31 time: 0.6872 data_time: 0.0456 memory: 17350 grad_norm: 6.6771 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0835 loss: 1.0835 2022/07/23 15:52:47 - mmengine - INFO - Epoch(train) [53][660/3757] lr: 1.0000e-03 eta: 1 day, 9:23:17 time: 0.6025 data_time: 0.0923 memory: 17350 grad_norm: 6.4951 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2820 loss: 1.2820 2022/07/23 15:53:02 - mmengine - INFO - Epoch(train) [53][680/3757] lr: 1.0000e-03 eta: 1 day, 9:23:04 time: 0.7212 data_time: 0.1102 memory: 17350 grad_norm: 6.6894 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3001 loss: 1.3001 2022/07/23 15:53:14 - mmengine - INFO - Epoch(train) [53][700/3757] lr: 1.0000e-03 eta: 1 day, 9:22:50 time: 0.6249 data_time: 0.1199 memory: 17350 grad_norm: 6.3078 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0097 loss: 1.0097 2022/07/23 15:53:28 - mmengine - INFO - Epoch(train) [53][720/3757] lr: 1.0000e-03 eta: 1 day, 9:22:37 time: 0.6662 data_time: 0.0393 memory: 17350 grad_norm: 6.5006 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0773 loss: 1.0773 2022/07/23 15:53:40 - mmengine - INFO - Epoch(train) [53][740/3757] lr: 1.0000e-03 eta: 1 day, 9:22:23 time: 0.6391 data_time: 0.0779 memory: 17350 grad_norm: 6.7710 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.3741 loss: 1.3741 2022/07/23 15:53:55 - mmengine - INFO - Epoch(train) [53][760/3757] lr: 1.0000e-03 eta: 1 day, 9:22:10 time: 0.7045 data_time: 0.0227 memory: 17350 grad_norm: 6.5034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0703 loss: 1.0703 2022/07/23 15:54:06 - mmengine - INFO - Epoch(train) [53][780/3757] lr: 1.0000e-03 eta: 1 day, 9:21:55 time: 0.5919 data_time: 0.0224 memory: 17350 grad_norm: 6.3174 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1428 loss: 1.1428 2022/07/23 15:54:22 - mmengine - INFO - Epoch(train) [53][800/3757] lr: 1.0000e-03 eta: 1 day, 9:21:44 time: 0.7794 data_time: 0.0289 memory: 17350 grad_norm: 6.8195 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3502 loss: 1.3502 2022/07/23 15:54:34 - mmengine - INFO - Epoch(train) [53][820/3757] lr: 1.0000e-03 eta: 1 day, 9:21:29 time: 0.5784 data_time: 0.0243 memory: 17350 grad_norm: 6.6016 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1145 loss: 1.1145 2022/07/23 15:54:47 - mmengine - INFO - Epoch(train) [53][840/3757] lr: 1.0000e-03 eta: 1 day, 9:21:16 time: 0.6839 data_time: 0.0251 memory: 17350 grad_norm: 6.4778 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1979 loss: 1.1979 2022/07/23 15:55:00 - mmengine - INFO - Epoch(train) [53][860/3757] lr: 1.0000e-03 eta: 1 day, 9:21:02 time: 0.6311 data_time: 0.0498 memory: 17350 grad_norm: 6.6071 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4184 loss: 1.4184 2022/07/23 15:55:15 - mmengine - INFO - Epoch(train) [53][880/3757] lr: 1.0000e-03 eta: 1 day, 9:20:50 time: 0.7610 data_time: 0.0389 memory: 17350 grad_norm: 6.4759 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3523 loss: 1.3523 2022/07/23 15:55:28 - mmengine - INFO - Epoch(train) [53][900/3757] lr: 1.0000e-03 eta: 1 day, 9:20:36 time: 0.6175 data_time: 0.0240 memory: 17350 grad_norm: 6.7291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4736 loss: 1.4736 2022/07/23 15:55:42 - mmengine - INFO - Epoch(train) [53][920/3757] lr: 1.0000e-03 eta: 1 day, 9:20:23 time: 0.7178 data_time: 0.0226 memory: 17350 grad_norm: 6.4902 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2006 loss: 1.2006 2022/07/23 15:55:53 - mmengine - INFO - Epoch(train) [53][940/3757] lr: 1.0000e-03 eta: 1 day, 9:20:08 time: 0.5767 data_time: 0.0247 memory: 17350 grad_norm: 6.6987 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2745 loss: 1.2745 2022/07/23 15:56:08 - mmengine - INFO - Epoch(train) [53][960/3757] lr: 1.0000e-03 eta: 1 day, 9:19:55 time: 0.7017 data_time: 0.0230 memory: 17350 grad_norm: 6.5008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2488 loss: 1.2488 2022/07/23 15:56:21 - mmengine - INFO - Epoch(train) [53][980/3757] lr: 1.0000e-03 eta: 1 day, 9:19:42 time: 0.6831 data_time: 0.1926 memory: 17350 grad_norm: 6.6347 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3096 loss: 1.3096 2022/07/23 15:56:34 - mmengine - INFO - Epoch(train) [53][1000/3757] lr: 1.0000e-03 eta: 1 day, 9:19:28 time: 0.6339 data_time: 0.1529 memory: 17350 grad_norm: 6.5976 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1459 loss: 1.1459 2022/07/23 15:56:47 - mmengine - INFO - Epoch(train) [53][1020/3757] lr: 1.0000e-03 eta: 1 day, 9:19:14 time: 0.6408 data_time: 0.1357 memory: 17350 grad_norm: 6.6025 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2766 loss: 1.2766 2022/07/23 15:57:02 - mmengine - INFO - Epoch(train) [53][1040/3757] lr: 1.0000e-03 eta: 1 day, 9:19:02 time: 0.7394 data_time: 0.0219 memory: 17350 grad_norm: 6.9120 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5123 loss: 1.5123 2022/07/23 15:57:14 - mmengine - INFO - Epoch(train) [53][1060/3757] lr: 1.0000e-03 eta: 1 day, 9:18:48 time: 0.6193 data_time: 0.0258 memory: 17350 grad_norm: 6.6213 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4051 loss: 1.4051 2022/07/23 15:57:28 - mmengine - INFO - Epoch(train) [53][1080/3757] lr: 1.0000e-03 eta: 1 day, 9:18:35 time: 0.7075 data_time: 0.0236 memory: 17350 grad_norm: 6.3064 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2093 loss: 1.2093 2022/07/23 15:57:40 - mmengine - INFO - Epoch(train) [53][1100/3757] lr: 1.0000e-03 eta: 1 day, 9:18:21 time: 0.6212 data_time: 0.0222 memory: 17350 grad_norm: 6.7677 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3011 loss: 1.3011 2022/07/23 15:57:55 - mmengine - INFO - Epoch(train) [53][1120/3757] lr: 1.0000e-03 eta: 1 day, 9:18:09 time: 0.7354 data_time: 0.0232 memory: 17350 grad_norm: 6.5734 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3571 loss: 1.3571 2022/07/23 15:58:07 - mmengine - INFO - Epoch(train) [53][1140/3757] lr: 1.0000e-03 eta: 1 day, 9:17:54 time: 0.5698 data_time: 0.0230 memory: 17350 grad_norm: 6.7096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2920 loss: 1.2920 2022/07/23 15:58:22 - mmengine - INFO - Epoch(train) [53][1160/3757] lr: 1.0000e-03 eta: 1 day, 9:17:42 time: 0.7670 data_time: 0.0244 memory: 17350 grad_norm: 6.5766 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1660 loss: 1.1660 2022/07/23 15:58:34 - mmengine - INFO - Epoch(train) [53][1180/3757] lr: 1.0000e-03 eta: 1 day, 9:17:27 time: 0.5850 data_time: 0.0278 memory: 17350 grad_norm: 6.5126 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6556 loss: 1.6556 2022/07/23 15:58:49 - mmengine - INFO - Epoch(train) [53][1200/3757] lr: 1.0000e-03 eta: 1 day, 9:17:15 time: 0.7578 data_time: 0.0299 memory: 17350 grad_norm: 6.7228 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2592 loss: 1.2592 2022/07/23 15:59:01 - mmengine - INFO - Epoch(train) [53][1220/3757] lr: 1.0000e-03 eta: 1 day, 9:17:01 time: 0.6243 data_time: 0.0228 memory: 17350 grad_norm: 6.4485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2101 loss: 1.2101 2022/07/23 15:59:17 - mmengine - INFO - Epoch(train) [53][1240/3757] lr: 1.0000e-03 eta: 1 day, 9:16:50 time: 0.7635 data_time: 0.0247 memory: 17350 grad_norm: 6.7085 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3018 loss: 1.3018 2022/07/23 15:59:28 - mmengine - INFO - Epoch(train) [53][1260/3757] lr: 1.0000e-03 eta: 1 day, 9:16:35 time: 0.5887 data_time: 0.0231 memory: 17350 grad_norm: 6.5238 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0889 loss: 1.0889 2022/07/23 15:59:43 - mmengine - INFO - Epoch(train) [53][1280/3757] lr: 1.0000e-03 eta: 1 day, 9:16:22 time: 0.7186 data_time: 0.0206 memory: 17350 grad_norm: 6.3501 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9062 loss: 0.9062 2022/07/23 15:59:54 - mmengine - INFO - Epoch(train) [53][1300/3757] lr: 1.0000e-03 eta: 1 day, 9:16:07 time: 0.5712 data_time: 0.0243 memory: 17350 grad_norm: 6.6687 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3360 loss: 1.3360 2022/07/23 16:00:09 - mmengine - INFO - Epoch(train) [53][1320/3757] lr: 1.0000e-03 eta: 1 day, 9:15:55 time: 0.7373 data_time: 0.0228 memory: 17350 grad_norm: 6.7404 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4884 loss: 1.4884 2022/07/23 16:00:21 - mmengine - INFO - Epoch(train) [53][1340/3757] lr: 1.0000e-03 eta: 1 day, 9:15:41 time: 0.6232 data_time: 0.0223 memory: 17350 grad_norm: 6.6425 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2515 loss: 1.2515 2022/07/23 16:00:35 - mmengine - INFO - Epoch(train) [53][1360/3757] lr: 1.0000e-03 eta: 1 day, 9:15:27 time: 0.6526 data_time: 0.0242 memory: 17350 grad_norm: 6.5874 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2064 loss: 1.2064 2022/07/23 16:00:48 - mmengine - INFO - Epoch(train) [53][1380/3757] lr: 1.0000e-03 eta: 1 day, 9:15:13 time: 0.6561 data_time: 0.0229 memory: 17350 grad_norm: 6.6658 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1726 loss: 1.1726 2022/07/23 16:01:00 - mmengine - INFO - Epoch(train) [53][1400/3757] lr: 1.0000e-03 eta: 1 day, 9:14:59 time: 0.6255 data_time: 0.0252 memory: 17350 grad_norm: 6.7454 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3336 loss: 1.3336 2022/07/23 16:01:14 - mmengine - INFO - Epoch(train) [53][1420/3757] lr: 1.0000e-03 eta: 1 day, 9:14:46 time: 0.7031 data_time: 0.0217 memory: 17350 grad_norm: 6.5889 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4941 loss: 1.4941 2022/07/23 16:01:27 - mmengine - INFO - Epoch(train) [53][1440/3757] lr: 1.0000e-03 eta: 1 day, 9:14:32 time: 0.6234 data_time: 0.0232 memory: 17350 grad_norm: 6.5181 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2591 loss: 1.2591 2022/07/23 16:01:41 - mmengine - INFO - Epoch(train) [53][1460/3757] lr: 1.0000e-03 eta: 1 day, 9:14:20 time: 0.7295 data_time: 0.0173 memory: 17350 grad_norm: 6.6388 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4477 loss: 1.4477 2022/07/23 16:01:54 - mmengine - INFO - Epoch(train) [53][1480/3757] lr: 1.0000e-03 eta: 1 day, 9:14:06 time: 0.6241 data_time: 0.0263 memory: 17350 grad_norm: 6.3127 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4491 loss: 1.4491 2022/07/23 16:02:08 - mmengine - INFO - Epoch(train) [53][1500/3757] lr: 1.0000e-03 eta: 1 day, 9:13:53 time: 0.7148 data_time: 0.0243 memory: 17350 grad_norm: 6.5491 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2135 loss: 1.2135 2022/07/23 16:02:20 - mmengine - INFO - Epoch(train) [53][1520/3757] lr: 1.0000e-03 eta: 1 day, 9:13:39 time: 0.6144 data_time: 0.0246 memory: 17350 grad_norm: 6.7021 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0970 loss: 1.0970 2022/07/23 16:02:34 - mmengine - INFO - Epoch(train) [53][1540/3757] lr: 1.0000e-03 eta: 1 day, 9:13:26 time: 0.6710 data_time: 0.0214 memory: 17350 grad_norm: 6.4747 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2725 loss: 1.2725 2022/07/23 16:02:47 - mmengine - INFO - Epoch(train) [53][1560/3757] lr: 1.0000e-03 eta: 1 day, 9:13:12 time: 0.6576 data_time: 0.0293 memory: 17350 grad_norm: 6.5296 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3929 loss: 1.3929 2022/07/23 16:03:01 - mmengine - INFO - Epoch(train) [53][1580/3757] lr: 1.0000e-03 eta: 1 day, 9:12:59 time: 0.6742 data_time: 0.0226 memory: 17350 grad_norm: 6.5350 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9740 loss: 0.9740 2022/07/23 16:03:13 - mmengine - INFO - Epoch(train) [53][1600/3757] lr: 1.0000e-03 eta: 1 day, 9:12:45 time: 0.6297 data_time: 0.0218 memory: 17350 grad_norm: 6.6946 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5691 loss: 1.5691 2022/07/23 16:03:27 - mmengine - INFO - Epoch(train) [53][1620/3757] lr: 1.0000e-03 eta: 1 day, 9:12:32 time: 0.6895 data_time: 0.0238 memory: 17350 grad_norm: 6.5047 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0661 loss: 1.0661 2022/07/23 16:03:37 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 16:03:39 - mmengine - INFO - Epoch(train) [53][1640/3757] lr: 1.0000e-03 eta: 1 day, 9:12:17 time: 0.6020 data_time: 0.0248 memory: 17350 grad_norm: 6.2539 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1632 loss: 1.1632 2022/07/23 16:03:53 - mmengine - INFO - Epoch(train) [53][1660/3757] lr: 1.0000e-03 eta: 1 day, 9:12:04 time: 0.6878 data_time: 0.0624 memory: 17350 grad_norm: 6.6235 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1110 loss: 1.1110 2022/07/23 16:04:06 - mmengine - INFO - Epoch(train) [53][1680/3757] lr: 1.0000e-03 eta: 1 day, 9:11:51 time: 0.6763 data_time: 0.1988 memory: 17350 grad_norm: 6.7891 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1850 loss: 1.1850 2022/07/23 16:04:21 - mmengine - INFO - Epoch(train) [53][1700/3757] lr: 1.0000e-03 eta: 1 day, 9:11:38 time: 0.7308 data_time: 0.1325 memory: 17350 grad_norm: 6.4903 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5279 loss: 1.5279 2022/07/23 16:04:33 - mmengine - INFO - Epoch(train) [53][1720/3757] lr: 1.0000e-03 eta: 1 day, 9:11:24 time: 0.6103 data_time: 0.0399 memory: 17350 grad_norm: 6.5327 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0400 loss: 1.0400 2022/07/23 16:04:48 - mmengine - INFO - Epoch(train) [53][1740/3757] lr: 1.0000e-03 eta: 1 day, 9:11:12 time: 0.7237 data_time: 0.0310 memory: 17350 grad_norm: 6.4572 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2013 loss: 1.2013 2022/07/23 16:05:00 - mmengine - INFO - Epoch(train) [53][1760/3757] lr: 1.0000e-03 eta: 1 day, 9:10:57 time: 0.6079 data_time: 0.0688 memory: 17350 grad_norm: 6.6262 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3108 loss: 1.3108 2022/07/23 16:05:14 - mmengine - INFO - Epoch(train) [53][1780/3757] lr: 1.0000e-03 eta: 1 day, 9:10:45 time: 0.7294 data_time: 0.1069 memory: 17350 grad_norm: 6.8142 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1611 loss: 1.1611 2022/07/23 16:05:27 - mmengine - INFO - Epoch(train) [53][1800/3757] lr: 1.0000e-03 eta: 1 day, 9:10:31 time: 0.6520 data_time: 0.2207 memory: 17350 grad_norm: 6.6348 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2252 loss: 1.2252 2022/07/23 16:05:40 - mmengine - INFO - Epoch(train) [53][1820/3757] lr: 1.0000e-03 eta: 1 day, 9:10:17 time: 0.6508 data_time: 0.1699 memory: 17350 grad_norm: 6.2801 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1862 loss: 1.1862 2022/07/23 16:05:54 - mmengine - INFO - Epoch(train) [53][1840/3757] lr: 1.0000e-03 eta: 1 day, 9:10:04 time: 0.6570 data_time: 0.1994 memory: 17350 grad_norm: 6.6312 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4018 loss: 1.4018 2022/07/23 16:06:07 - mmengine - INFO - Epoch(train) [53][1860/3757] lr: 1.0000e-03 eta: 1 day, 9:09:51 time: 0.6913 data_time: 0.0835 memory: 17350 grad_norm: 6.4782 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1801 loss: 1.1801 2022/07/23 16:06:20 - mmengine - INFO - Epoch(train) [53][1880/3757] lr: 1.0000e-03 eta: 1 day, 9:09:37 time: 0.6471 data_time: 0.1315 memory: 17350 grad_norm: 6.3608 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1840 loss: 1.1840 2022/07/23 16:06:34 - mmengine - INFO - Epoch(train) [53][1900/3757] lr: 1.0000e-03 eta: 1 day, 9:09:24 time: 0.6899 data_time: 0.0358 memory: 17350 grad_norm: 6.4332 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0375 loss: 1.0375 2022/07/23 16:06:47 - mmengine - INFO - Epoch(train) [53][1920/3757] lr: 1.0000e-03 eta: 1 day, 9:09:10 time: 0.6280 data_time: 0.0641 memory: 17350 grad_norm: 6.5758 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3978 loss: 1.3978 2022/07/23 16:07:01 - mmengine - INFO - Epoch(train) [53][1940/3757] lr: 1.0000e-03 eta: 1 day, 9:08:57 time: 0.7069 data_time: 0.1373 memory: 17350 grad_norm: 6.6034 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2546 loss: 1.2546 2022/07/23 16:07:15 - mmengine - INFO - Epoch(train) [53][1960/3757] lr: 1.0000e-03 eta: 1 day, 9:08:45 time: 0.7140 data_time: 0.0243 memory: 17350 grad_norm: 6.5681 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1274 loss: 1.1274 2022/07/23 16:07:28 - mmengine - INFO - Epoch(train) [53][1980/3757] lr: 1.0000e-03 eta: 1 day, 9:08:31 time: 0.6502 data_time: 0.0866 memory: 17350 grad_norm: 6.6623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2177 loss: 1.2177 2022/07/23 16:07:43 - mmengine - INFO - Epoch(train) [53][2000/3757] lr: 1.0000e-03 eta: 1 day, 9:08:19 time: 0.7327 data_time: 0.0660 memory: 17350 grad_norm: 6.7039 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3032 loss: 1.3032 2022/07/23 16:07:55 - mmengine - INFO - Epoch(train) [53][2020/3757] lr: 1.0000e-03 eta: 1 day, 9:08:04 time: 0.6025 data_time: 0.0212 memory: 17350 grad_norm: 6.7610 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1884 loss: 1.1884 2022/07/23 16:08:08 - mmengine - INFO - Epoch(train) [53][2040/3757] lr: 1.0000e-03 eta: 1 day, 9:07:51 time: 0.6732 data_time: 0.0323 memory: 17350 grad_norm: 6.6189 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4617 loss: 1.4617 2022/07/23 16:08:20 - mmengine - INFO - Epoch(train) [53][2060/3757] lr: 1.0000e-03 eta: 1 day, 9:07:36 time: 0.5894 data_time: 0.0405 memory: 17350 grad_norm: 6.7929 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2845 loss: 1.2845 2022/07/23 16:08:35 - mmengine - INFO - Epoch(train) [53][2080/3757] lr: 1.0000e-03 eta: 1 day, 9:07:24 time: 0.7409 data_time: 0.0519 memory: 17350 grad_norm: 6.7641 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5685 loss: 1.5685 2022/07/23 16:08:48 - mmengine - INFO - Epoch(train) [53][2100/3757] lr: 1.0000e-03 eta: 1 day, 9:07:10 time: 0.6310 data_time: 0.1298 memory: 17350 grad_norm: 6.6861 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1744 loss: 1.1744 2022/07/23 16:09:01 - mmengine - INFO - Epoch(train) [53][2120/3757] lr: 1.0000e-03 eta: 1 day, 9:06:56 time: 0.6612 data_time: 0.0995 memory: 17350 grad_norm: 6.5484 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3386 loss: 1.3386 2022/07/23 16:09:15 - mmengine - INFO - Epoch(train) [53][2140/3757] lr: 1.0000e-03 eta: 1 day, 9:06:44 time: 0.7195 data_time: 0.0520 memory: 17350 grad_norm: 6.6158 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1131 loss: 1.1131 2022/07/23 16:09:28 - mmengine - INFO - Epoch(train) [53][2160/3757] lr: 1.0000e-03 eta: 1 day, 9:06:29 time: 0.6079 data_time: 0.0888 memory: 17350 grad_norm: 6.5578 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2946 loss: 1.2946 2022/07/23 16:09:43 - mmengine - INFO - Epoch(train) [53][2180/3757] lr: 1.0000e-03 eta: 1 day, 9:06:18 time: 0.7549 data_time: 0.0621 memory: 17350 grad_norm: 6.4990 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1191 loss: 1.1191 2022/07/23 16:09:55 - mmengine - INFO - Epoch(train) [53][2200/3757] lr: 1.0000e-03 eta: 1 day, 9:06:03 time: 0.5990 data_time: 0.0673 memory: 17350 grad_norm: 6.4436 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2001 loss: 1.2001 2022/07/23 16:10:09 - mmengine - INFO - Epoch(train) [53][2220/3757] lr: 1.0000e-03 eta: 1 day, 9:05:51 time: 0.7177 data_time: 0.0519 memory: 17350 grad_norm: 6.6385 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0222 loss: 1.0222 2022/07/23 16:10:21 - mmengine - INFO - Epoch(train) [53][2240/3757] lr: 1.0000e-03 eta: 1 day, 9:05:36 time: 0.6179 data_time: 0.0258 memory: 17350 grad_norm: 6.4643 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4692 loss: 1.4692 2022/07/23 16:10:36 - mmengine - INFO - Epoch(train) [53][2260/3757] lr: 1.0000e-03 eta: 1 day, 9:05:24 time: 0.7514 data_time: 0.0225 memory: 17350 grad_norm: 6.6378 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3863 loss: 1.3863 2022/07/23 16:10:49 - mmengine - INFO - Epoch(train) [53][2280/3757] lr: 1.0000e-03 eta: 1 day, 9:05:10 time: 0.6215 data_time: 0.0250 memory: 17350 grad_norm: 6.4639 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2652 loss: 1.2652 2022/07/23 16:11:01 - mmengine - INFO - Epoch(train) [53][2300/3757] lr: 1.0000e-03 eta: 1 day, 9:04:56 time: 0.6067 data_time: 0.0558 memory: 17350 grad_norm: 6.8036 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2133 loss: 1.2133 2022/07/23 16:11:15 - mmengine - INFO - Epoch(train) [53][2320/3757] lr: 1.0000e-03 eta: 1 day, 9:04:43 time: 0.6942 data_time: 0.0223 memory: 17350 grad_norm: 6.3056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0832 loss: 1.0832 2022/07/23 16:11:28 - mmengine - INFO - Epoch(train) [53][2340/3757] lr: 1.0000e-03 eta: 1 day, 9:04:29 time: 0.6300 data_time: 0.0355 memory: 17350 grad_norm: 6.3283 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5284 loss: 1.5284 2022/07/23 16:11:42 - mmengine - INFO - Epoch(train) [53][2360/3757] lr: 1.0000e-03 eta: 1 day, 9:04:16 time: 0.7058 data_time: 0.0228 memory: 17350 grad_norm: 6.7549 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2327 loss: 1.2327 2022/07/23 16:11:53 - mmengine - INFO - Epoch(train) [53][2380/3757] lr: 1.0000e-03 eta: 1 day, 9:04:01 time: 0.5729 data_time: 0.0254 memory: 17350 grad_norm: 6.6633 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1185 loss: 1.1185 2022/07/23 16:12:08 - mmengine - INFO - Epoch(train) [53][2400/3757] lr: 1.0000e-03 eta: 1 day, 9:03:48 time: 0.7181 data_time: 0.0244 memory: 17350 grad_norm: 6.4664 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2936 loss: 1.2936 2022/07/23 16:12:21 - mmengine - INFO - Epoch(train) [53][2420/3757] lr: 1.0000e-03 eta: 1 day, 9:03:35 time: 0.6516 data_time: 0.0225 memory: 17350 grad_norm: 6.6511 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4115 loss: 1.4115 2022/07/23 16:12:34 - mmengine - INFO - Epoch(train) [53][2440/3757] lr: 1.0000e-03 eta: 1 day, 9:03:22 time: 0.6946 data_time: 0.0306 memory: 17350 grad_norm: 6.5071 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1455 loss: 1.1455 2022/07/23 16:12:48 - mmengine - INFO - Epoch(train) [53][2460/3757] lr: 1.0000e-03 eta: 1 day, 9:03:08 time: 0.6638 data_time: 0.0357 memory: 17350 grad_norm: 6.6733 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1693 loss: 1.1693 2022/07/23 16:13:03 - mmengine - INFO - Epoch(train) [53][2480/3757] lr: 1.0000e-03 eta: 1 day, 9:02:56 time: 0.7433 data_time: 0.0207 memory: 17350 grad_norm: 6.5599 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2819 loss: 1.2819 2022/07/23 16:13:14 - mmengine - INFO - Epoch(train) [53][2500/3757] lr: 1.0000e-03 eta: 1 day, 9:02:41 time: 0.5511 data_time: 0.0255 memory: 17350 grad_norm: 6.6784 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2334 loss: 1.2334 2022/07/23 16:13:28 - mmengine - INFO - Epoch(train) [53][2520/3757] lr: 1.0000e-03 eta: 1 day, 9:02:28 time: 0.7291 data_time: 0.1475 memory: 17350 grad_norm: 6.6449 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2534 loss: 1.2534 2022/07/23 16:13:40 - mmengine - INFO - Epoch(train) [53][2540/3757] lr: 1.0000e-03 eta: 1 day, 9:02:13 time: 0.5873 data_time: 0.0446 memory: 17350 grad_norm: 6.6920 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3412 loss: 1.3412 2022/07/23 16:13:54 - mmengine - INFO - Epoch(train) [53][2560/3757] lr: 1.0000e-03 eta: 1 day, 9:02:01 time: 0.7039 data_time: 0.2006 memory: 17350 grad_norm: 6.5428 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3651 loss: 1.3651 2022/07/23 16:14:07 - mmengine - INFO - Epoch(train) [53][2580/3757] lr: 1.0000e-03 eta: 1 day, 9:01:47 time: 0.6278 data_time: 0.2438 memory: 17350 grad_norm: 6.5445 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1701 loss: 1.1701 2022/07/23 16:14:22 - mmengine - INFO - Epoch(train) [53][2600/3757] lr: 1.0000e-03 eta: 1 day, 9:01:35 time: 0.7439 data_time: 0.1755 memory: 17350 grad_norm: 6.5667 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2838 loss: 1.2838 2022/07/23 16:14:34 - mmengine - INFO - Epoch(train) [53][2620/3757] lr: 1.0000e-03 eta: 1 day, 9:01:20 time: 0.6247 data_time: 0.0592 memory: 17350 grad_norm: 6.8404 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1346 loss: 1.1346 2022/07/23 16:14:45 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 16:14:47 - mmengine - INFO - Epoch(train) [53][2640/3757] lr: 1.0000e-03 eta: 1 day, 9:01:06 time: 0.6331 data_time: 0.0260 memory: 17350 grad_norm: 6.7549 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3625 loss: 1.3625 2022/07/23 16:15:01 - mmengine - INFO - Epoch(train) [53][2660/3757] lr: 1.0000e-03 eta: 1 day, 9:00:54 time: 0.7262 data_time: 0.0209 memory: 17350 grad_norm: 6.5330 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3270 loss: 1.3270 2022/07/23 16:15:13 - mmengine - INFO - Epoch(train) [53][2680/3757] lr: 1.0000e-03 eta: 1 day, 9:00:39 time: 0.5892 data_time: 0.0294 memory: 17350 grad_norm: 6.5585 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1466 loss: 1.1466 2022/07/23 16:15:28 - mmengine - INFO - Epoch(train) [53][2700/3757] lr: 1.0000e-03 eta: 1 day, 9:00:27 time: 0.7540 data_time: 0.0226 memory: 17350 grad_norm: 6.5543 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1099 loss: 1.1099 2022/07/23 16:15:40 - mmengine - INFO - Epoch(train) [53][2720/3757] lr: 1.0000e-03 eta: 1 day, 9:00:13 time: 0.5978 data_time: 0.0238 memory: 17350 grad_norm: 6.6526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4442 loss: 1.4442 2022/07/23 16:15:54 - mmengine - INFO - Epoch(train) [53][2740/3757] lr: 1.0000e-03 eta: 1 day, 9:00:00 time: 0.7148 data_time: 0.0183 memory: 17350 grad_norm: 6.8588 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4718 loss: 1.4718 2022/07/23 16:16:06 - mmengine - INFO - Epoch(train) [53][2760/3757] lr: 1.0000e-03 eta: 1 day, 8:59:45 time: 0.5912 data_time: 0.0240 memory: 17350 grad_norm: 6.5864 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2907 loss: 1.2907 2022/07/23 16:16:22 - mmengine - INFO - Epoch(train) [53][2780/3757] lr: 1.0000e-03 eta: 1 day, 8:59:34 time: 0.7757 data_time: 0.0212 memory: 17350 grad_norm: 6.5248 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1007 loss: 1.1007 2022/07/23 16:16:34 - mmengine - INFO - Epoch(train) [53][2800/3757] lr: 1.0000e-03 eta: 1 day, 8:59:19 time: 0.5846 data_time: 0.0262 memory: 17350 grad_norm: 6.5078 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1765 loss: 1.1765 2022/07/23 16:16:48 - mmengine - INFO - Epoch(train) [53][2820/3757] lr: 1.0000e-03 eta: 1 day, 8:59:07 time: 0.7237 data_time: 0.0364 memory: 17350 grad_norm: 6.5180 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5568 loss: 1.5568 2022/07/23 16:17:00 - mmengine - INFO - Epoch(train) [53][2840/3757] lr: 1.0000e-03 eta: 1 day, 8:58:52 time: 0.6231 data_time: 0.0306 memory: 17350 grad_norm: 6.6875 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4744 loss: 1.4744 2022/07/23 16:17:15 - mmengine - INFO - Epoch(train) [53][2860/3757] lr: 1.0000e-03 eta: 1 day, 8:58:40 time: 0.7063 data_time: 0.0335 memory: 17350 grad_norm: 6.6827 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2163 loss: 1.2163 2022/07/23 16:17:26 - mmengine - INFO - Epoch(train) [53][2880/3757] lr: 1.0000e-03 eta: 1 day, 8:58:25 time: 0.5921 data_time: 0.0226 memory: 17350 grad_norm: 6.5161 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0576 loss: 1.0576 2022/07/23 16:17:41 - mmengine - INFO - Epoch(train) [53][2900/3757] lr: 1.0000e-03 eta: 1 day, 8:58:13 time: 0.7298 data_time: 0.0217 memory: 17350 grad_norm: 6.6969 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5559 loss: 1.5559 2022/07/23 16:17:53 - mmengine - INFO - Epoch(train) [53][2920/3757] lr: 1.0000e-03 eta: 1 day, 8:57:58 time: 0.5884 data_time: 0.0249 memory: 17350 grad_norm: 6.4701 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1041 loss: 1.1041 2022/07/23 16:18:07 - mmengine - INFO - Epoch(train) [53][2940/3757] lr: 1.0000e-03 eta: 1 day, 8:57:45 time: 0.6995 data_time: 0.0232 memory: 17350 grad_norm: 6.9036 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3071 loss: 1.3071 2022/07/23 16:18:19 - mmengine - INFO - Epoch(train) [53][2960/3757] lr: 1.0000e-03 eta: 1 day, 8:57:31 time: 0.6294 data_time: 0.0245 memory: 17350 grad_norm: 6.6925 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3594 loss: 1.3594 2022/07/23 16:18:34 - mmengine - INFO - Epoch(train) [53][2980/3757] lr: 1.0000e-03 eta: 1 day, 8:57:19 time: 0.7245 data_time: 0.0205 memory: 17350 grad_norm: 6.7901 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1719 loss: 1.1719 2022/07/23 16:18:46 - mmengine - INFO - Epoch(train) [53][3000/3757] lr: 1.0000e-03 eta: 1 day, 8:57:04 time: 0.6116 data_time: 0.0243 memory: 17350 grad_norm: 6.3659 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1357 loss: 1.1357 2022/07/23 16:19:00 - mmengine - INFO - Epoch(train) [53][3020/3757] lr: 1.0000e-03 eta: 1 day, 8:56:51 time: 0.7052 data_time: 0.0251 memory: 17350 grad_norm: 6.7308 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3291 loss: 1.3291 2022/07/23 16:19:13 - mmengine - INFO - Epoch(train) [53][3040/3757] lr: 1.0000e-03 eta: 1 day, 8:56:37 time: 0.6093 data_time: 0.0217 memory: 17350 grad_norm: 6.4998 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4452 loss: 1.4452 2022/07/23 16:19:27 - mmengine - INFO - Epoch(train) [53][3060/3757] lr: 1.0000e-03 eta: 1 day, 8:56:25 time: 0.7440 data_time: 0.0368 memory: 17350 grad_norm: 6.9015 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3165 loss: 1.3165 2022/07/23 16:19:39 - mmengine - INFO - Epoch(train) [53][3080/3757] lr: 1.0000e-03 eta: 1 day, 8:56:10 time: 0.5799 data_time: 0.0204 memory: 17350 grad_norm: 6.6942 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1000 loss: 1.1000 2022/07/23 16:19:56 - mmengine - INFO - Epoch(train) [53][3100/3757] lr: 1.0000e-03 eta: 1 day, 8:56:00 time: 0.8580 data_time: 0.0241 memory: 17350 grad_norm: 6.4600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1866 loss: 1.1866 2022/07/23 16:20:07 - mmengine - INFO - Epoch(train) [53][3120/3757] lr: 1.0000e-03 eta: 1 day, 8:55:45 time: 0.5631 data_time: 0.0252 memory: 17350 grad_norm: 6.4836 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3143 loss: 1.3143 2022/07/23 16:20:21 - mmengine - INFO - Epoch(train) [53][3140/3757] lr: 1.0000e-03 eta: 1 day, 8:55:32 time: 0.6863 data_time: 0.0209 memory: 17350 grad_norm: 6.6992 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1605 loss: 1.1605 2022/07/23 16:20:33 - mmengine - INFO - Epoch(train) [53][3160/3757] lr: 1.0000e-03 eta: 1 day, 8:55:17 time: 0.5712 data_time: 0.0236 memory: 17350 grad_norm: 6.7731 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2601 loss: 1.2601 2022/07/23 16:20:48 - mmengine - INFO - Epoch(train) [53][3180/3757] lr: 1.0000e-03 eta: 1 day, 8:55:05 time: 0.7890 data_time: 0.0218 memory: 17350 grad_norm: 6.2439 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3156 loss: 1.3156 2022/07/23 16:21:00 - mmengine - INFO - Epoch(train) [53][3200/3757] lr: 1.0000e-03 eta: 1 day, 8:54:51 time: 0.5976 data_time: 0.0217 memory: 17350 grad_norm: 6.3961 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2988 loss: 1.2988 2022/07/23 16:21:15 - mmengine - INFO - Epoch(train) [53][3220/3757] lr: 1.0000e-03 eta: 1 day, 8:54:38 time: 0.7155 data_time: 0.0211 memory: 17350 grad_norm: 6.7499 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2984 loss: 1.2984 2022/07/23 16:21:27 - mmengine - INFO - Epoch(train) [53][3240/3757] lr: 1.0000e-03 eta: 1 day, 8:54:23 time: 0.5973 data_time: 0.0259 memory: 17350 grad_norm: 6.5476 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2760 loss: 1.2760 2022/07/23 16:21:42 - mmengine - INFO - Epoch(train) [53][3260/3757] lr: 1.0000e-03 eta: 1 day, 8:54:12 time: 0.7564 data_time: 0.0234 memory: 17350 grad_norm: 6.4105 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4057 loss: 1.4057 2022/07/23 16:21:54 - mmengine - INFO - Epoch(train) [53][3280/3757] lr: 1.0000e-03 eta: 1 day, 8:53:57 time: 0.5934 data_time: 0.0228 memory: 17350 grad_norm: 6.6224 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1216 loss: 1.1216 2022/07/23 16:22:08 - mmengine - INFO - Epoch(train) [53][3300/3757] lr: 1.0000e-03 eta: 1 day, 8:53:45 time: 0.7382 data_time: 0.0222 memory: 17350 grad_norm: 6.5566 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5058 loss: 1.5058 2022/07/23 16:22:20 - mmengine - INFO - Epoch(train) [53][3320/3757] lr: 1.0000e-03 eta: 1 day, 8:53:30 time: 0.5789 data_time: 0.0235 memory: 17350 grad_norm: 6.4741 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1399 loss: 1.1399 2022/07/23 16:22:34 - mmengine - INFO - Epoch(train) [53][3340/3757] lr: 1.0000e-03 eta: 1 day, 8:53:17 time: 0.7110 data_time: 0.0217 memory: 17350 grad_norm: 6.5493 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4516 loss: 1.4516 2022/07/23 16:22:47 - mmengine - INFO - Epoch(train) [53][3360/3757] lr: 1.0000e-03 eta: 1 day, 8:53:03 time: 0.6272 data_time: 0.0235 memory: 17350 grad_norm: 6.3369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1749 loss: 1.1749 2022/07/23 16:23:01 - mmengine - INFO - Epoch(train) [53][3380/3757] lr: 1.0000e-03 eta: 1 day, 8:52:51 time: 0.7181 data_time: 0.0235 memory: 17350 grad_norm: 6.7820 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4250 loss: 1.4250 2022/07/23 16:23:12 - mmengine - INFO - Epoch(train) [53][3400/3757] lr: 1.0000e-03 eta: 1 day, 8:52:35 time: 0.5573 data_time: 0.0214 memory: 17350 grad_norm: 6.7475 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1416 loss: 1.1416 2022/07/23 16:23:27 - mmengine - INFO - Epoch(train) [53][3420/3757] lr: 1.0000e-03 eta: 1 day, 8:52:23 time: 0.7290 data_time: 0.0233 memory: 17350 grad_norm: 6.8123 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1748 loss: 1.1748 2022/07/23 16:23:39 - mmengine - INFO - Epoch(train) [53][3440/3757] lr: 1.0000e-03 eta: 1 day, 8:52:09 time: 0.6178 data_time: 0.0229 memory: 17350 grad_norm: 6.6921 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3556 loss: 1.3556 2022/07/23 16:23:54 - mmengine - INFO - Epoch(train) [53][3460/3757] lr: 1.0000e-03 eta: 1 day, 8:51:56 time: 0.7116 data_time: 0.0208 memory: 17350 grad_norm: 6.4317 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3649 loss: 1.3649 2022/07/23 16:24:05 - mmengine - INFO - Epoch(train) [53][3480/3757] lr: 1.0000e-03 eta: 1 day, 8:51:41 time: 0.5922 data_time: 0.0254 memory: 17350 grad_norm: 7.0641 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3639 loss: 1.3639 2022/07/23 16:24:20 - mmengine - INFO - Epoch(train) [53][3500/3757] lr: 1.0000e-03 eta: 1 day, 8:51:29 time: 0.7517 data_time: 0.0248 memory: 17350 grad_norm: 6.4230 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2136 loss: 1.2136 2022/07/23 16:24:33 - mmengine - INFO - Epoch(train) [53][3520/3757] lr: 1.0000e-03 eta: 1 day, 8:51:15 time: 0.6000 data_time: 0.0223 memory: 17350 grad_norm: 6.6929 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2161 loss: 1.2161 2022/07/23 16:24:48 - mmengine - INFO - Epoch(train) [53][3540/3757] lr: 1.0000e-03 eta: 1 day, 8:51:03 time: 0.7670 data_time: 0.0253 memory: 17350 grad_norm: 6.8170 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4800 loss: 1.4800 2022/07/23 16:24:59 - mmengine - INFO - Epoch(train) [53][3560/3757] lr: 1.0000e-03 eta: 1 day, 8:50:48 time: 0.5728 data_time: 0.0227 memory: 17350 grad_norm: 6.7495 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3379 loss: 1.3379 2022/07/23 16:25:14 - mmengine - INFO - Epoch(train) [53][3580/3757] lr: 1.0000e-03 eta: 1 day, 8:50:36 time: 0.7392 data_time: 0.0226 memory: 17350 grad_norm: 6.5300 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2367 loss: 1.2367 2022/07/23 16:25:26 - mmengine - INFO - Epoch(train) [53][3600/3757] lr: 1.0000e-03 eta: 1 day, 8:50:21 time: 0.6027 data_time: 0.0234 memory: 17350 grad_norm: 6.9065 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2739 loss: 1.2739 2022/07/23 16:25:40 - mmengine - INFO - Epoch(train) [53][3620/3757] lr: 1.0000e-03 eta: 1 day, 8:50:08 time: 0.6773 data_time: 0.0224 memory: 17350 grad_norm: 6.7343 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0551 loss: 1.0551 2022/07/23 16:25:51 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 16:25:52 - mmengine - INFO - Epoch(train) [53][3640/3757] lr: 1.0000e-03 eta: 1 day, 8:49:54 time: 0.6193 data_time: 0.0244 memory: 17350 grad_norm: 6.8115 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1462 loss: 1.1462 2022/07/23 16:26:07 - mmengine - INFO - Epoch(train) [53][3660/3757] lr: 1.0000e-03 eta: 1 day, 8:49:42 time: 0.7662 data_time: 0.0221 memory: 17350 grad_norm: 6.7721 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3559 loss: 1.3559 2022/07/23 16:26:19 - mmengine - INFO - Epoch(train) [53][3680/3757] lr: 1.0000e-03 eta: 1 day, 8:49:27 time: 0.5697 data_time: 0.0247 memory: 17350 grad_norm: 6.8646 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4411 loss: 1.4411 2022/07/23 16:26:34 - mmengine - INFO - Epoch(train) [53][3700/3757] lr: 1.0000e-03 eta: 1 day, 8:49:15 time: 0.7537 data_time: 0.0216 memory: 17350 grad_norm: 6.7250 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2361 loss: 1.2361 2022/07/23 16:26:45 - mmengine - INFO - Epoch(train) [53][3720/3757] lr: 1.0000e-03 eta: 1 day, 8:49:00 time: 0.5747 data_time: 0.0248 memory: 17350 grad_norm: 6.6299 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2314 loss: 1.2314 2022/07/23 16:27:00 - mmengine - INFO - Epoch(train) [53][3740/3757] lr: 1.0000e-03 eta: 1 day, 8:48:47 time: 0.7069 data_time: 0.0241 memory: 17350 grad_norm: 6.6740 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3381 loss: 1.3381 2022/07/23 16:27:07 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 16:27:07 - mmengine - INFO - Epoch(train) [53][3757/3757] lr: 1.0000e-03 eta: 1 day, 8:48:47 time: 0.5580 data_time: 0.0231 memory: 17350 grad_norm: 6.5616 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2178 loss: 1.2178 2022/07/23 16:27:25 - mmengine - INFO - Epoch(val) [53][20/310] eta: 0:04:19 time: 0.8935 data_time: 0.7813 memory: 3406 2022/07/23 16:27:37 - mmengine - INFO - Epoch(val) [53][40/310] eta: 0:02:34 time: 0.5717 data_time: 0.4591 memory: 3406 2022/07/23 16:27:51 - mmengine - INFO - Epoch(val) [53][60/310] eta: 0:03:02 time: 0.7313 data_time: 0.6169 memory: 3406 2022/07/23 16:28:02 - mmengine - INFO - Epoch(val) [53][80/310] eta: 0:02:05 time: 0.5455 data_time: 0.4317 memory: 3406 2022/07/23 16:28:18 - mmengine - INFO - Epoch(val) [53][100/310] eta: 0:02:47 time: 0.7961 data_time: 0.6837 memory: 3406 2022/07/23 16:28:29 - mmengine - INFO - Epoch(val) [53][120/310] eta: 0:01:45 time: 0.5544 data_time: 0.4420 memory: 3406 2022/07/23 16:28:42 - mmengine - INFO - Epoch(val) [53][140/310] eta: 0:01:48 time: 0.6394 data_time: 0.5280 memory: 3406 2022/07/23 16:28:57 - mmengine - INFO - Epoch(val) [53][160/310] eta: 0:01:50 time: 0.7383 data_time: 0.6203 memory: 3406 2022/07/23 16:29:07 - mmengine - INFO - Epoch(val) [53][180/310] eta: 0:01:08 time: 0.5278 data_time: 0.4164 memory: 3406 2022/07/23 16:29:22 - mmengine - INFO - Epoch(val) [53][200/310] eta: 0:01:20 time: 0.7334 data_time: 0.6191 memory: 3406 2022/07/23 16:29:34 - mmengine - INFO - Epoch(val) [53][220/310] eta: 0:00:51 time: 0.5725 data_time: 0.4585 memory: 3406 2022/07/23 16:29:48 - mmengine - INFO - Epoch(val) [53][240/310] eta: 0:00:49 time: 0.7028 data_time: 0.5893 memory: 3406 2022/07/23 16:30:00 - mmengine - INFO - Epoch(val) [53][260/310] eta: 0:00:30 time: 0.6170 data_time: 0.5054 memory: 3406 2022/07/23 16:30:15 - mmengine - INFO - Epoch(val) [53][280/310] eta: 0:00:23 time: 0.7711 data_time: 0.6581 memory: 3406 2022/07/23 16:30:27 - mmengine - INFO - Epoch(val) [53][300/310] eta: 0:00:05 time: 0.5790 data_time: 0.4655 memory: 3406 2022/07/23 16:30:34 - mmengine - INFO - Epoch(val) [53][310/310] acc/top1: 0.6737 acc/top5: 0.8731 acc/mean1: 0.6736 2022/07/23 16:30:34 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_53.pth is removed 2022/07/23 16:30:36 - mmengine - INFO - The best checkpoint with 0.6737 acc/top1 at 54 epoch is saved to best_acc/top1_epoch_54.pth. 2022/07/23 16:30:53 - mmengine - INFO - Epoch(train) [54][20/3757] lr: 1.0000e-03 eta: 1 day, 8:48:15 time: 0.8337 data_time: 0.5023 memory: 17350 grad_norm: 6.6685 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3111 loss: 1.3111 2022/07/23 16:31:05 - mmengine - INFO - Epoch(train) [54][40/3757] lr: 1.0000e-03 eta: 1 day, 8:48:01 time: 0.6129 data_time: 0.2819 memory: 17350 grad_norm: 6.5759 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3089 loss: 1.3089 2022/07/23 16:31:20 - mmengine - INFO - Epoch(train) [54][60/3757] lr: 1.0000e-03 eta: 1 day, 8:47:49 time: 0.7284 data_time: 0.3959 memory: 17350 grad_norm: 6.5519 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3603 loss: 1.3603 2022/07/23 16:31:32 - mmengine - INFO - Epoch(train) [54][80/3757] lr: 1.0000e-03 eta: 1 day, 8:47:34 time: 0.6074 data_time: 0.2780 memory: 17350 grad_norm: 6.2734 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3567 loss: 1.3567 2022/07/23 16:31:46 - mmengine - INFO - Epoch(train) [54][100/3757] lr: 1.0000e-03 eta: 1 day, 8:47:22 time: 0.7150 data_time: 0.3727 memory: 17350 grad_norm: 6.8347 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9393 loss: 0.9393 2022/07/23 16:31:59 - mmengine - INFO - Epoch(train) [54][120/3757] lr: 1.0000e-03 eta: 1 day, 8:47:07 time: 0.6095 data_time: 0.2773 memory: 17350 grad_norm: 6.7387 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2138 loss: 1.2138 2022/07/23 16:32:14 - mmengine - INFO - Epoch(train) [54][140/3757] lr: 1.0000e-03 eta: 1 day, 8:46:55 time: 0.7535 data_time: 0.4301 memory: 17350 grad_norm: 6.5421 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1275 loss: 1.1275 2022/07/23 16:32:26 - mmengine - INFO - Epoch(train) [54][160/3757] lr: 1.0000e-03 eta: 1 day, 8:46:41 time: 0.6089 data_time: 0.2717 memory: 17350 grad_norm: 6.2231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1649 loss: 1.1649 2022/07/23 16:32:40 - mmengine - INFO - Epoch(train) [54][180/3757] lr: 1.0000e-03 eta: 1 day, 8:46:28 time: 0.7004 data_time: 0.3714 memory: 17350 grad_norm: 6.6123 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2195 loss: 1.2195 2022/07/23 16:32:52 - mmengine - INFO - Epoch(train) [54][200/3757] lr: 1.0000e-03 eta: 1 day, 8:46:13 time: 0.5923 data_time: 0.2523 memory: 17350 grad_norm: 6.3646 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2672 loss: 1.2672 2022/07/23 16:33:07 - mmengine - INFO - Epoch(train) [54][220/3757] lr: 1.0000e-03 eta: 1 day, 8:46:02 time: 0.7670 data_time: 0.4252 memory: 17350 grad_norm: 6.6418 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0841 loss: 1.0841 2022/07/23 16:33:20 - mmengine - INFO - Epoch(train) [54][240/3757] lr: 1.0000e-03 eta: 1 day, 8:45:48 time: 0.6351 data_time: 0.2983 memory: 17350 grad_norm: 6.5877 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1687 loss: 1.1687 2022/07/23 16:33:34 - mmengine - INFO - Epoch(train) [54][260/3757] lr: 1.0000e-03 eta: 1 day, 8:45:35 time: 0.6927 data_time: 0.3560 memory: 17350 grad_norm: 6.5551 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3710 loss: 1.3710 2022/07/23 16:33:45 - mmengine - INFO - Epoch(train) [54][280/3757] lr: 1.0000e-03 eta: 1 day, 8:45:20 time: 0.5887 data_time: 0.2545 memory: 17350 grad_norm: 6.2544 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1831 loss: 1.1831 2022/07/23 16:33:59 - mmengine - INFO - Epoch(train) [54][300/3757] lr: 1.0000e-03 eta: 1 day, 8:45:07 time: 0.7003 data_time: 0.3647 memory: 17350 grad_norm: 6.6581 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2581 loss: 1.2581 2022/07/23 16:34:11 - mmengine - INFO - Epoch(train) [54][320/3757] lr: 1.0000e-03 eta: 1 day, 8:44:52 time: 0.5892 data_time: 0.2560 memory: 17350 grad_norm: 6.7375 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2505 loss: 1.2505 2022/07/23 16:34:26 - mmengine - INFO - Epoch(train) [54][340/3757] lr: 1.0000e-03 eta: 1 day, 8:44:40 time: 0.7259 data_time: 0.3902 memory: 17350 grad_norm: 6.5219 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0740 loss: 1.0740 2022/07/23 16:34:38 - mmengine - INFO - Epoch(train) [54][360/3757] lr: 1.0000e-03 eta: 1 day, 8:44:26 time: 0.6108 data_time: 0.2626 memory: 17350 grad_norm: 6.6540 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2566 loss: 1.2566 2022/07/23 16:34:53 - mmengine - INFO - Epoch(train) [54][380/3757] lr: 1.0000e-03 eta: 1 day, 8:44:14 time: 0.7531 data_time: 0.4119 memory: 17350 grad_norm: 6.5725 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3776 loss: 1.3776 2022/07/23 16:35:05 - mmengine - INFO - Epoch(train) [54][400/3757] lr: 1.0000e-03 eta: 1 day, 8:43:59 time: 0.5983 data_time: 0.2659 memory: 17350 grad_norm: 6.6053 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2134 loss: 1.2134 2022/07/23 16:35:20 - mmengine - INFO - Epoch(train) [54][420/3757] lr: 1.0000e-03 eta: 1 day, 8:43:47 time: 0.7273 data_time: 0.3276 memory: 17350 grad_norm: 6.4404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2751 loss: 1.2751 2022/07/23 16:35:33 - mmengine - INFO - Epoch(train) [54][440/3757] lr: 1.0000e-03 eta: 1 day, 8:43:33 time: 0.6610 data_time: 0.1375 memory: 17350 grad_norm: 6.4485 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1780 loss: 1.1780 2022/07/23 16:35:46 - mmengine - INFO - Epoch(train) [54][460/3757] lr: 1.0000e-03 eta: 1 day, 8:43:20 time: 0.6518 data_time: 0.0681 memory: 17350 grad_norm: 6.6272 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.1101 loss: 1.1101 2022/07/23 16:36:00 - mmengine - INFO - Epoch(train) [54][480/3757] lr: 1.0000e-03 eta: 1 day, 8:43:07 time: 0.6895 data_time: 0.0670 memory: 17350 grad_norm: 6.7332 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0930 loss: 1.0930 2022/07/23 16:36:13 - mmengine - INFO - Epoch(train) [54][500/3757] lr: 1.0000e-03 eta: 1 day, 8:42:53 time: 0.6569 data_time: 0.1050 memory: 17350 grad_norm: 6.5174 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2378 loss: 1.2378 2022/07/23 16:36:26 - mmengine - INFO - Epoch(train) [54][520/3757] lr: 1.0000e-03 eta: 1 day, 8:42:39 time: 0.6521 data_time: 0.1414 memory: 17350 grad_norm: 6.7683 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3083 loss: 1.3083 2022/07/23 16:36:39 - mmengine - INFO - Epoch(train) [54][540/3757] lr: 1.0000e-03 eta: 1 day, 8:42:25 time: 0.6278 data_time: 0.1744 memory: 17350 grad_norm: 6.6768 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5163 loss: 1.5163 2022/07/23 16:36:52 - mmengine - INFO - Epoch(train) [54][560/3757] lr: 1.0000e-03 eta: 1 day, 8:42:12 time: 0.6793 data_time: 0.3402 memory: 17350 grad_norm: 6.6545 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2789 loss: 1.2789 2022/07/23 16:37:06 - mmengine - INFO - Epoch(train) [54][580/3757] lr: 1.0000e-03 eta: 1 day, 8:41:59 time: 0.7024 data_time: 0.2675 memory: 17350 grad_norm: 6.4388 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2624 loss: 1.2624 2022/07/23 16:37:19 - mmengine - INFO - Epoch(train) [54][600/3757] lr: 1.0000e-03 eta: 1 day, 8:41:46 time: 0.6488 data_time: 0.1468 memory: 17350 grad_norm: 6.7636 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3689 loss: 1.3689 2022/07/23 16:37:33 - mmengine - INFO - Epoch(train) [54][620/3757] lr: 1.0000e-03 eta: 1 day, 8:41:33 time: 0.6957 data_time: 0.2956 memory: 17350 grad_norm: 6.7542 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4274 loss: 1.4274 2022/07/23 16:37:47 - mmengine - INFO - Epoch(train) [54][640/3757] lr: 1.0000e-03 eta: 1 day, 8:41:20 time: 0.6853 data_time: 0.2883 memory: 17350 grad_norm: 6.4422 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1070 loss: 1.1070 2022/07/23 16:38:00 - mmengine - INFO - Epoch(train) [54][660/3757] lr: 1.0000e-03 eta: 1 day, 8:41:06 time: 0.6781 data_time: 0.2724 memory: 17350 grad_norm: 6.3462 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8563 loss: 0.8563 2022/07/23 16:38:13 - mmengine - INFO - Epoch(train) [54][680/3757] lr: 1.0000e-03 eta: 1 day, 8:40:52 time: 0.6153 data_time: 0.2521 memory: 17350 grad_norm: 6.7012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0413 loss: 1.0413 2022/07/23 16:38:26 - mmengine - INFO - Epoch(train) [54][700/3757] lr: 1.0000e-03 eta: 1 day, 8:40:39 time: 0.6864 data_time: 0.3375 memory: 17350 grad_norm: 6.5142 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3168 loss: 1.3168 2022/07/23 16:38:39 - mmengine - INFO - Epoch(train) [54][720/3757] lr: 1.0000e-03 eta: 1 day, 8:40:25 time: 0.6402 data_time: 0.1739 memory: 17350 grad_norm: 6.5689 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1851 loss: 1.1851 2022/07/23 16:38:52 - mmengine - INFO - Epoch(train) [54][740/3757] lr: 1.0000e-03 eta: 1 day, 8:40:12 time: 0.6581 data_time: 0.1722 memory: 17350 grad_norm: 6.6405 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2234 loss: 1.2234 2022/07/23 16:39:07 - mmengine - INFO - Epoch(train) [54][760/3757] lr: 1.0000e-03 eta: 1 day, 8:39:59 time: 0.7064 data_time: 0.1800 memory: 17350 grad_norm: 6.7938 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3280 loss: 1.3280 2022/07/23 16:39:19 - mmengine - INFO - Epoch(train) [54][780/3757] lr: 1.0000e-03 eta: 1 day, 8:39:45 time: 0.6285 data_time: 0.1174 memory: 17350 grad_norm: 6.6063 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1678 loss: 1.1678 2022/07/23 16:39:33 - mmengine - INFO - Epoch(train) [54][800/3757] lr: 1.0000e-03 eta: 1 day, 8:39:31 time: 0.6779 data_time: 0.1317 memory: 17350 grad_norm: 6.5954 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3310 loss: 1.3310 2022/07/23 16:39:45 - mmengine - INFO - Epoch(train) [54][820/3757] lr: 1.0000e-03 eta: 1 day, 8:39:18 time: 0.6382 data_time: 0.2288 memory: 17350 grad_norm: 6.6892 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3892 loss: 1.3892 2022/07/23 16:40:00 - mmengine - INFO - Epoch(train) [54][840/3757] lr: 1.0000e-03 eta: 1 day, 8:39:05 time: 0.7174 data_time: 0.3712 memory: 17350 grad_norm: 6.6588 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1297 loss: 1.1297 2022/07/23 16:40:13 - mmengine - INFO - Epoch(train) [54][860/3757] lr: 1.0000e-03 eta: 1 day, 8:38:51 time: 0.6417 data_time: 0.2317 memory: 17350 grad_norm: 6.8814 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3427 loss: 1.3427 2022/07/23 16:40:25 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 16:40:28 - mmengine - INFO - Epoch(train) [54][880/3757] lr: 1.0000e-03 eta: 1 day, 8:38:40 time: 0.7646 data_time: 0.3909 memory: 17350 grad_norm: 6.4276 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1167 loss: 1.1167 2022/07/23 16:40:39 - mmengine - INFO - Epoch(train) [54][900/3757] lr: 1.0000e-03 eta: 1 day, 8:38:24 time: 0.5708 data_time: 0.2285 memory: 17350 grad_norm: 6.5731 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1584 loss: 1.1584 2022/07/23 16:40:54 - mmengine - INFO - Epoch(train) [54][920/3757] lr: 1.0000e-03 eta: 1 day, 8:38:12 time: 0.7101 data_time: 0.2961 memory: 17350 grad_norm: 6.9489 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3091 loss: 1.3091 2022/07/23 16:41:07 - mmengine - INFO - Epoch(train) [54][940/3757] lr: 1.0000e-03 eta: 1 day, 8:37:59 time: 0.6866 data_time: 0.1921 memory: 17350 grad_norm: 6.6383 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3409 loss: 1.3409 2022/07/23 16:41:20 - mmengine - INFO - Epoch(train) [54][960/3757] lr: 1.0000e-03 eta: 1 day, 8:37:45 time: 0.6408 data_time: 0.2123 memory: 17350 grad_norm: 6.9395 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1708 loss: 1.1708 2022/07/23 16:41:34 - mmengine - INFO - Epoch(train) [54][980/3757] lr: 1.0000e-03 eta: 1 day, 8:37:32 time: 0.6897 data_time: 0.3021 memory: 17350 grad_norm: 6.7515 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2878 loss: 1.2878 2022/07/23 16:41:47 - mmengine - INFO - Epoch(train) [54][1000/3757] lr: 1.0000e-03 eta: 1 day, 8:37:18 time: 0.6576 data_time: 0.3232 memory: 17350 grad_norm: 6.8441 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3428 loss: 1.3428 2022/07/23 16:42:00 - mmengine - INFO - Epoch(train) [54][1020/3757] lr: 1.0000e-03 eta: 1 day, 8:37:05 time: 0.6520 data_time: 0.2518 memory: 17350 grad_norm: 6.4640 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8983 loss: 0.8983 2022/07/23 16:42:13 - mmengine - INFO - Epoch(train) [54][1040/3757] lr: 1.0000e-03 eta: 1 day, 8:36:50 time: 0.6172 data_time: 0.1312 memory: 17350 grad_norm: 6.5085 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1722 loss: 1.1722 2022/07/23 16:42:28 - mmengine - INFO - Epoch(train) [54][1060/3757] lr: 1.0000e-03 eta: 1 day, 8:36:39 time: 0.7688 data_time: 0.0885 memory: 17350 grad_norm: 6.5743 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3563 loss: 1.3563 2022/07/23 16:42:40 - mmengine - INFO - Epoch(train) [54][1080/3757] lr: 1.0000e-03 eta: 1 day, 8:36:24 time: 0.5923 data_time: 0.1681 memory: 17350 grad_norm: 6.4524 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9193 loss: 0.9193 2022/07/23 16:42:54 - mmengine - INFO - Epoch(train) [54][1100/3757] lr: 1.0000e-03 eta: 1 day, 8:36:11 time: 0.6937 data_time: 0.2463 memory: 17350 grad_norm: 6.6697 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2798 loss: 1.2798 2022/07/23 16:43:07 - mmengine - INFO - Epoch(train) [54][1120/3757] lr: 1.0000e-03 eta: 1 day, 8:35:57 time: 0.6455 data_time: 0.2422 memory: 17350 grad_norm: 6.4837 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3324 loss: 1.3324 2022/07/23 16:43:21 - mmengine - INFO - Epoch(train) [54][1140/3757] lr: 1.0000e-03 eta: 1 day, 8:35:45 time: 0.7093 data_time: 0.2120 memory: 17350 grad_norm: 6.9528 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3324 loss: 1.3324 2022/07/23 16:43:33 - mmengine - INFO - Epoch(train) [54][1160/3757] lr: 1.0000e-03 eta: 1 day, 8:35:30 time: 0.6035 data_time: 0.1712 memory: 17350 grad_norm: 6.6760 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2407 loss: 1.2407 2022/07/23 16:43:47 - mmengine - INFO - Epoch(train) [54][1180/3757] lr: 1.0000e-03 eta: 1 day, 8:35:18 time: 0.7240 data_time: 0.3079 memory: 17350 grad_norm: 6.3820 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2413 loss: 1.2413 2022/07/23 16:43:59 - mmengine - INFO - Epoch(train) [54][1200/3757] lr: 1.0000e-03 eta: 1 day, 8:35:03 time: 0.5778 data_time: 0.1513 memory: 17350 grad_norm: 6.8168 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1992 loss: 1.1992 2022/07/23 16:44:14 - mmengine - INFO - Epoch(train) [54][1220/3757] lr: 1.0000e-03 eta: 1 day, 8:34:51 time: 0.7435 data_time: 0.3659 memory: 17350 grad_norm: 6.4914 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0571 loss: 1.0571 2022/07/23 16:44:26 - mmengine - INFO - Epoch(train) [54][1240/3757] lr: 1.0000e-03 eta: 1 day, 8:34:36 time: 0.6037 data_time: 0.2057 memory: 17350 grad_norm: 6.7469 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9809 loss: 0.9809 2022/07/23 16:44:40 - mmengine - INFO - Epoch(train) [54][1260/3757] lr: 1.0000e-03 eta: 1 day, 8:34:23 time: 0.7107 data_time: 0.1008 memory: 17350 grad_norm: 7.0099 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2654 loss: 1.2654 2022/07/23 16:44:53 - mmengine - INFO - Epoch(train) [54][1280/3757] lr: 1.0000e-03 eta: 1 day, 8:34:10 time: 0.6549 data_time: 0.0230 memory: 17350 grad_norm: 6.6756 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3524 loss: 1.3524 2022/07/23 16:45:07 - mmengine - INFO - Epoch(train) [54][1300/3757] lr: 1.0000e-03 eta: 1 day, 8:33:57 time: 0.6789 data_time: 0.0413 memory: 17350 grad_norm: 6.7024 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2587 loss: 1.2587 2022/07/23 16:45:22 - mmengine - INFO - Epoch(train) [54][1320/3757] lr: 1.0000e-03 eta: 1 day, 8:33:45 time: 0.7472 data_time: 0.0658 memory: 17350 grad_norm: 6.6869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1707 loss: 1.1707 2022/07/23 16:45:34 - mmengine - INFO - Epoch(train) [54][1340/3757] lr: 1.0000e-03 eta: 1 day, 8:33:30 time: 0.6037 data_time: 0.0236 memory: 17350 grad_norm: 6.8875 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0629 loss: 1.0629 2022/07/23 16:45:48 - mmengine - INFO - Epoch(train) [54][1360/3757] lr: 1.0000e-03 eta: 1 day, 8:33:17 time: 0.6940 data_time: 0.0244 memory: 17350 grad_norm: 6.5145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3677 loss: 1.3677 2022/07/23 16:46:00 - mmengine - INFO - Epoch(train) [54][1380/3757] lr: 1.0000e-03 eta: 1 day, 8:33:03 time: 0.6189 data_time: 0.0584 memory: 17350 grad_norm: 6.5423 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3764 loss: 1.3764 2022/07/23 16:46:15 - mmengine - INFO - Epoch(train) [54][1400/3757] lr: 1.0000e-03 eta: 1 day, 8:32:51 time: 0.7359 data_time: 0.0210 memory: 17350 grad_norm: 6.7951 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3229 loss: 1.3229 2022/07/23 16:46:28 - mmengine - INFO - Epoch(train) [54][1420/3757] lr: 1.0000e-03 eta: 1 day, 8:32:37 time: 0.6282 data_time: 0.0221 memory: 17350 grad_norm: 6.4934 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2105 loss: 1.2105 2022/07/23 16:46:41 - mmengine - INFO - Epoch(train) [54][1440/3757] lr: 1.0000e-03 eta: 1 day, 8:32:23 time: 0.6519 data_time: 0.0292 memory: 17350 grad_norm: 6.8475 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2042 loss: 1.2042 2022/07/23 16:46:53 - mmengine - INFO - Epoch(train) [54][1460/3757] lr: 1.0000e-03 eta: 1 day, 8:32:09 time: 0.6232 data_time: 0.0469 memory: 17350 grad_norm: 6.5513 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4096 loss: 1.4096 2022/07/23 16:47:08 - mmengine - INFO - Epoch(train) [54][1480/3757] lr: 1.0000e-03 eta: 1 day, 8:31:57 time: 0.7387 data_time: 0.0223 memory: 17350 grad_norm: 6.6911 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2131 loss: 1.2131 2022/07/23 16:47:20 - mmengine - INFO - Epoch(train) [54][1500/3757] lr: 1.0000e-03 eta: 1 day, 8:31:42 time: 0.5863 data_time: 0.0226 memory: 17350 grad_norm: 6.3331 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3775 loss: 1.3775 2022/07/23 16:47:34 - mmengine - INFO - Epoch(train) [54][1520/3757] lr: 1.0000e-03 eta: 1 day, 8:31:30 time: 0.7438 data_time: 0.0213 memory: 17350 grad_norm: 6.6279 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3552 loss: 1.3552 2022/07/23 16:47:46 - mmengine - INFO - Epoch(train) [54][1540/3757] lr: 1.0000e-03 eta: 1 day, 8:31:15 time: 0.6021 data_time: 0.0224 memory: 17350 grad_norm: 6.5863 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1791 loss: 1.1791 2022/07/23 16:48:00 - mmengine - INFO - Epoch(train) [54][1560/3757] lr: 1.0000e-03 eta: 1 day, 8:31:02 time: 0.6899 data_time: 0.0243 memory: 17350 grad_norm: 6.7355 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2728 loss: 1.2728 2022/07/23 16:48:13 - mmengine - INFO - Epoch(train) [54][1580/3757] lr: 1.0000e-03 eta: 1 day, 8:30:48 time: 0.6554 data_time: 0.0279 memory: 17350 grad_norm: 7.0103 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4826 loss: 1.4826 2022/07/23 16:48:27 - mmengine - INFO - Epoch(train) [54][1600/3757] lr: 1.0000e-03 eta: 1 day, 8:30:35 time: 0.6781 data_time: 0.0238 memory: 17350 grad_norm: 6.6330 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2511 loss: 1.2511 2022/07/23 16:48:40 - mmengine - INFO - Epoch(train) [54][1620/3757] lr: 1.0000e-03 eta: 1 day, 8:30:21 time: 0.6297 data_time: 0.0247 memory: 17350 grad_norm: 6.6686 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0417 loss: 1.0417 2022/07/23 16:48:55 - mmengine - INFO - Epoch(train) [54][1640/3757] lr: 1.0000e-03 eta: 1 day, 8:30:10 time: 0.7661 data_time: 0.0240 memory: 17350 grad_norm: 6.8962 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4119 loss: 1.4119 2022/07/23 16:49:07 - mmengine - INFO - Epoch(train) [54][1660/3757] lr: 1.0000e-03 eta: 1 day, 8:29:55 time: 0.5992 data_time: 0.0229 memory: 17350 grad_norm: 6.6302 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3523 loss: 1.3523 2022/07/23 16:49:21 - mmengine - INFO - Epoch(train) [54][1680/3757] lr: 1.0000e-03 eta: 1 day, 8:29:42 time: 0.6779 data_time: 0.0236 memory: 17350 grad_norm: 6.6653 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2792 loss: 1.2792 2022/07/23 16:49:32 - mmengine - INFO - Epoch(train) [54][1700/3757] lr: 1.0000e-03 eta: 1 day, 8:29:27 time: 0.5939 data_time: 0.0212 memory: 17350 grad_norm: 6.5361 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3549 loss: 1.3549 2022/07/23 16:49:46 - mmengine - INFO - Epoch(train) [54][1720/3757] lr: 1.0000e-03 eta: 1 day, 8:29:14 time: 0.6690 data_time: 0.0218 memory: 17350 grad_norm: 6.7363 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2860 loss: 1.2860 2022/07/23 16:49:59 - mmengine - INFO - Epoch(train) [54][1740/3757] lr: 1.0000e-03 eta: 1 day, 8:29:00 time: 0.6600 data_time: 0.0238 memory: 17350 grad_norm: 6.8513 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4444 loss: 1.4444 2022/07/23 16:50:15 - mmengine - INFO - Epoch(train) [54][1760/3757] lr: 1.0000e-03 eta: 1 day, 8:28:49 time: 0.7983 data_time: 0.0234 memory: 17350 grad_norm: 6.5804 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3310 loss: 1.3310 2022/07/23 16:50:26 - mmengine - INFO - Epoch(train) [54][1780/3757] lr: 1.0000e-03 eta: 1 day, 8:28:34 time: 0.5559 data_time: 0.0223 memory: 17350 grad_norm: 6.7419 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2684 loss: 1.2684 2022/07/23 16:50:43 - mmengine - INFO - Epoch(train) [54][1800/3757] lr: 1.0000e-03 eta: 1 day, 8:28:23 time: 0.8221 data_time: 0.0223 memory: 17350 grad_norm: 6.8481 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2770 loss: 1.2770 2022/07/23 16:50:53 - mmengine - INFO - Epoch(train) [54][1820/3757] lr: 1.0000e-03 eta: 1 day, 8:28:07 time: 0.5273 data_time: 0.0247 memory: 17350 grad_norm: 6.6329 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3755 loss: 1.3755 2022/07/23 16:51:07 - mmengine - INFO - Epoch(train) [54][1840/3757] lr: 1.0000e-03 eta: 1 day, 8:27:54 time: 0.6865 data_time: 0.0238 memory: 17350 grad_norm: 6.1941 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2863 loss: 1.2863 2022/07/23 16:51:21 - mmengine - INFO - Epoch(train) [54][1860/3757] lr: 1.0000e-03 eta: 1 day, 8:27:41 time: 0.6874 data_time: 0.0216 memory: 17350 grad_norm: 6.6043 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4334 loss: 1.4334 2022/07/23 16:51:34 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 16:51:34 - mmengine - INFO - Epoch(train) [54][1880/3757] lr: 1.0000e-03 eta: 1 day, 8:27:28 time: 0.6842 data_time: 0.0305 memory: 17350 grad_norm: 6.6962 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3656 loss: 1.3656 2022/07/23 16:51:47 - mmengine - INFO - Epoch(train) [54][1900/3757] lr: 1.0000e-03 eta: 1 day, 8:27:14 time: 0.6144 data_time: 0.0210 memory: 17350 grad_norm: 6.7718 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4179 loss: 1.4179 2022/07/23 16:52:02 - mmengine - INFO - Epoch(train) [54][1920/3757] lr: 1.0000e-03 eta: 1 day, 8:27:02 time: 0.7539 data_time: 0.0227 memory: 17350 grad_norm: 6.4611 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3502 loss: 1.3502 2022/07/23 16:52:14 - mmengine - INFO - Epoch(train) [54][1940/3757] lr: 1.0000e-03 eta: 1 day, 8:26:47 time: 0.6037 data_time: 0.0233 memory: 17350 grad_norm: 6.4747 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2885 loss: 1.2885 2022/07/23 16:52:28 - mmengine - INFO - Epoch(train) [54][1960/3757] lr: 1.0000e-03 eta: 1 day, 8:26:34 time: 0.7013 data_time: 0.0270 memory: 17350 grad_norm: 6.8696 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1746 loss: 1.1746 2022/07/23 16:52:40 - mmengine - INFO - Epoch(train) [54][1980/3757] lr: 1.0000e-03 eta: 1 day, 8:26:20 time: 0.6290 data_time: 0.0262 memory: 17350 grad_norm: 6.4722 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3134 loss: 1.3134 2022/07/23 16:52:54 - mmengine - INFO - Epoch(train) [54][2000/3757] lr: 1.0000e-03 eta: 1 day, 8:26:07 time: 0.7008 data_time: 0.0230 memory: 17350 grad_norm: 6.3905 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1321 loss: 1.1321 2022/07/23 16:53:08 - mmengine - INFO - Epoch(train) [54][2020/3757] lr: 1.0000e-03 eta: 1 day, 8:25:54 time: 0.6653 data_time: 0.0629 memory: 17350 grad_norm: 6.8292 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0501 loss: 1.0501 2022/07/23 16:53:21 - mmengine - INFO - Epoch(train) [54][2040/3757] lr: 1.0000e-03 eta: 1 day, 8:25:40 time: 0.6533 data_time: 0.1926 memory: 17350 grad_norm: 6.7147 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1918 loss: 1.1918 2022/07/23 16:53:34 - mmengine - INFO - Epoch(train) [54][2060/3757] lr: 1.0000e-03 eta: 1 day, 8:25:27 time: 0.6714 data_time: 0.0305 memory: 17350 grad_norm: 6.7652 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3809 loss: 1.3809 2022/07/23 16:53:48 - mmengine - INFO - Epoch(train) [54][2080/3757] lr: 1.0000e-03 eta: 1 day, 8:25:14 time: 0.7021 data_time: 0.0438 memory: 17350 grad_norm: 6.8475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0914 loss: 1.0914 2022/07/23 16:54:01 - mmengine - INFO - Epoch(train) [54][2100/3757] lr: 1.0000e-03 eta: 1 day, 8:25:00 time: 0.6435 data_time: 0.0539 memory: 17350 grad_norm: 6.2601 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0854 loss: 1.0854 2022/07/23 16:54:14 - mmengine - INFO - Epoch(train) [54][2120/3757] lr: 1.0000e-03 eta: 1 day, 8:24:47 time: 0.6503 data_time: 0.1231 memory: 17350 grad_norm: 6.7841 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1809 loss: 1.1809 2022/07/23 16:54:29 - mmengine - INFO - Epoch(train) [54][2140/3757] lr: 1.0000e-03 eta: 1 day, 8:24:34 time: 0.7235 data_time: 0.0538 memory: 17350 grad_norm: 6.7836 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2060 loss: 1.2060 2022/07/23 16:54:41 - mmengine - INFO - Epoch(train) [54][2160/3757] lr: 1.0000e-03 eta: 1 day, 8:24:20 time: 0.6320 data_time: 0.0380 memory: 17350 grad_norm: 6.7140 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9856 loss: 0.9856 2022/07/23 16:54:57 - mmengine - INFO - Epoch(train) [54][2180/3757] lr: 1.0000e-03 eta: 1 day, 8:24:09 time: 0.7783 data_time: 0.0245 memory: 17350 grad_norm: 6.5014 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0981 loss: 1.0981 2022/07/23 16:55:08 - mmengine - INFO - Epoch(train) [54][2200/3757] lr: 1.0000e-03 eta: 1 day, 8:23:54 time: 0.5667 data_time: 0.0410 memory: 17350 grad_norm: 6.4913 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2793 loss: 1.2793 2022/07/23 16:55:24 - mmengine - INFO - Epoch(train) [54][2220/3757] lr: 1.0000e-03 eta: 1 day, 8:23:42 time: 0.7596 data_time: 0.0243 memory: 17350 grad_norm: 6.8671 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4000 loss: 1.4000 2022/07/23 16:55:35 - mmengine - INFO - Epoch(train) [54][2240/3757] lr: 1.0000e-03 eta: 1 day, 8:23:27 time: 0.5740 data_time: 0.0222 memory: 17350 grad_norm: 6.7859 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3776 loss: 1.3776 2022/07/23 16:55:50 - mmengine - INFO - Epoch(train) [54][2260/3757] lr: 1.0000e-03 eta: 1 day, 8:23:15 time: 0.7412 data_time: 0.0256 memory: 17350 grad_norm: 6.7866 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3631 loss: 1.3631 2022/07/23 16:56:03 - mmengine - INFO - Epoch(train) [54][2280/3757] lr: 1.0000e-03 eta: 1 day, 8:23:01 time: 0.6404 data_time: 0.0222 memory: 17350 grad_norm: 6.7762 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2625 loss: 1.2625 2022/07/23 16:56:16 - mmengine - INFO - Epoch(train) [54][2300/3757] lr: 1.0000e-03 eta: 1 day, 8:22:47 time: 0.6662 data_time: 0.0257 memory: 17350 grad_norm: 6.7250 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1449 loss: 1.1449 2022/07/23 16:56:28 - mmengine - INFO - Epoch(train) [54][2320/3757] lr: 1.0000e-03 eta: 1 day, 8:22:33 time: 0.5955 data_time: 0.0238 memory: 17350 grad_norm: 6.7465 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0134 loss: 1.0134 2022/07/23 16:56:42 - mmengine - INFO - Epoch(train) [54][2340/3757] lr: 1.0000e-03 eta: 1 day, 8:22:20 time: 0.6815 data_time: 0.0864 memory: 17350 grad_norm: 6.4372 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0710 loss: 1.0710 2022/07/23 16:56:54 - mmengine - INFO - Epoch(train) [54][2360/3757] lr: 1.0000e-03 eta: 1 day, 8:22:05 time: 0.6072 data_time: 0.1107 memory: 17350 grad_norm: 6.7665 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4893 loss: 1.4893 2022/07/23 16:57:08 - mmengine - INFO - Epoch(train) [54][2380/3757] lr: 1.0000e-03 eta: 1 day, 8:21:52 time: 0.6906 data_time: 0.1928 memory: 17350 grad_norm: 6.4459 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4453 loss: 1.4453 2022/07/23 16:57:22 - mmengine - INFO - Epoch(train) [54][2400/3757] lr: 1.0000e-03 eta: 1 day, 8:21:39 time: 0.7056 data_time: 0.0538 memory: 17350 grad_norm: 6.7672 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3343 loss: 1.3343 2022/07/23 16:57:34 - mmengine - INFO - Epoch(train) [54][2420/3757] lr: 1.0000e-03 eta: 1 day, 8:21:25 time: 0.6071 data_time: 0.0391 memory: 17350 grad_norm: 6.7595 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2972 loss: 1.2972 2022/07/23 16:57:48 - mmengine - INFO - Epoch(train) [54][2440/3757] lr: 1.0000e-03 eta: 1 day, 8:21:12 time: 0.6921 data_time: 0.0812 memory: 17350 grad_norm: 6.7912 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1988 loss: 1.1988 2022/07/23 16:58:02 - mmengine - INFO - Epoch(train) [54][2460/3757] lr: 1.0000e-03 eta: 1 day, 8:20:59 time: 0.7123 data_time: 0.1347 memory: 17350 grad_norm: 6.7975 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3190 loss: 1.3190 2022/07/23 16:58:15 - mmengine - INFO - Epoch(train) [54][2480/3757] lr: 1.0000e-03 eta: 1 day, 8:20:46 time: 0.6659 data_time: 0.0224 memory: 17350 grad_norm: 6.6402 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0918 loss: 1.0918 2022/07/23 16:58:28 - mmengine - INFO - Epoch(train) [54][2500/3757] lr: 1.0000e-03 eta: 1 day, 8:20:32 time: 0.6371 data_time: 0.0209 memory: 17350 grad_norm: 6.6259 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3376 loss: 1.3376 2022/07/23 16:58:43 - mmengine - INFO - Epoch(train) [54][2520/3757] lr: 1.0000e-03 eta: 1 day, 8:20:20 time: 0.7333 data_time: 0.0261 memory: 17350 grad_norm: 6.6467 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2498 loss: 1.2498 2022/07/23 16:58:55 - mmengine - INFO - Epoch(train) [54][2540/3757] lr: 1.0000e-03 eta: 1 day, 8:20:05 time: 0.6103 data_time: 0.0236 memory: 17350 grad_norm: 6.8563 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1308 loss: 1.1308 2022/07/23 16:59:09 - mmengine - INFO - Epoch(train) [54][2560/3757] lr: 1.0000e-03 eta: 1 day, 8:19:53 time: 0.7280 data_time: 0.0236 memory: 17350 grad_norm: 6.7707 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3395 loss: 1.3395 2022/07/23 16:59:21 - mmengine - INFO - Epoch(train) [54][2580/3757] lr: 1.0000e-03 eta: 1 day, 8:19:38 time: 0.5969 data_time: 0.0260 memory: 17350 grad_norm: 6.7539 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4414 loss: 1.4414 2022/07/23 16:59:36 - mmengine - INFO - Epoch(train) [54][2600/3757] lr: 1.0000e-03 eta: 1 day, 8:19:26 time: 0.7076 data_time: 0.0256 memory: 17350 grad_norm: 6.5394 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1686 loss: 1.1686 2022/07/23 16:59:48 - mmengine - INFO - Epoch(train) [54][2620/3757] lr: 1.0000e-03 eta: 1 day, 8:19:12 time: 0.6261 data_time: 0.0221 memory: 17350 grad_norm: 6.6488 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4475 loss: 1.4475 2022/07/23 17:00:02 - mmengine - INFO - Epoch(train) [54][2640/3757] lr: 1.0000e-03 eta: 1 day, 8:18:59 time: 0.7171 data_time: 0.0234 memory: 17350 grad_norm: 6.6059 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2038 loss: 1.2038 2022/07/23 17:00:15 - mmengine - INFO - Epoch(train) [54][2660/3757] lr: 1.0000e-03 eta: 1 day, 8:18:45 time: 0.6139 data_time: 0.0263 memory: 17350 grad_norm: 6.7384 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2506 loss: 1.2506 2022/07/23 17:00:30 - mmengine - INFO - Epoch(train) [54][2680/3757] lr: 1.0000e-03 eta: 1 day, 8:18:33 time: 0.7748 data_time: 0.0223 memory: 17350 grad_norm: 6.7518 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0712 loss: 1.0712 2022/07/23 17:00:42 - mmengine - INFO - Epoch(train) [54][2700/3757] lr: 1.0000e-03 eta: 1 day, 8:18:19 time: 0.5987 data_time: 0.0230 memory: 17350 grad_norm: 6.5895 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3744 loss: 1.3744 2022/07/23 17:00:56 - mmengine - INFO - Epoch(train) [54][2720/3757] lr: 1.0000e-03 eta: 1 day, 8:18:05 time: 0.6773 data_time: 0.0213 memory: 17350 grad_norm: 6.3646 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0655 loss: 1.0655 2022/07/23 17:01:08 - mmengine - INFO - Epoch(train) [54][2740/3757] lr: 1.0000e-03 eta: 1 day, 8:17:51 time: 0.6210 data_time: 0.0223 memory: 17350 grad_norm: 6.6658 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1325 loss: 1.1325 2022/07/23 17:01:23 - mmengine - INFO - Epoch(train) [54][2760/3757] lr: 1.0000e-03 eta: 1 day, 8:17:39 time: 0.7284 data_time: 0.0267 memory: 17350 grad_norm: 6.6746 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1530 loss: 1.1530 2022/07/23 17:01:35 - mmengine - INFO - Epoch(train) [54][2780/3757] lr: 1.0000e-03 eta: 1 day, 8:17:24 time: 0.6145 data_time: 0.0218 memory: 17350 grad_norm: 6.9862 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0743 loss: 1.0743 2022/07/23 17:01:49 - mmengine - INFO - Epoch(train) [54][2800/3757] lr: 1.0000e-03 eta: 1 day, 8:17:12 time: 0.7011 data_time: 0.0216 memory: 17350 grad_norm: 6.9001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3805 loss: 1.3805 2022/07/23 17:02:01 - mmengine - INFO - Epoch(train) [54][2820/3757] lr: 1.0000e-03 eta: 1 day, 8:16:57 time: 0.5998 data_time: 0.0213 memory: 17350 grad_norm: 6.5492 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2731 loss: 1.2731 2022/07/23 17:02:16 - mmengine - INFO - Epoch(train) [54][2840/3757] lr: 1.0000e-03 eta: 1 day, 8:16:45 time: 0.7188 data_time: 0.0225 memory: 17350 grad_norm: 6.5496 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3536 loss: 1.3536 2022/07/23 17:02:28 - mmengine - INFO - Epoch(train) [54][2860/3757] lr: 1.0000e-03 eta: 1 day, 8:16:31 time: 0.6387 data_time: 0.0237 memory: 17350 grad_norm: 6.5787 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0836 loss: 1.0836 2022/07/23 17:02:43 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 17:02:43 - mmengine - INFO - Epoch(train) [54][2880/3757] lr: 1.0000e-03 eta: 1 day, 8:16:19 time: 0.7558 data_time: 0.0253 memory: 17350 grad_norm: 6.7242 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1369 loss: 1.1369 2022/07/23 17:02:55 - mmengine - INFO - Epoch(train) [54][2900/3757] lr: 1.0000e-03 eta: 1 day, 8:16:04 time: 0.5850 data_time: 0.0212 memory: 17350 grad_norm: 6.6825 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2944 loss: 1.2944 2022/07/23 17:03:11 - mmengine - INFO - Epoch(train) [54][2920/3757] lr: 1.0000e-03 eta: 1 day, 8:15:53 time: 0.7813 data_time: 0.0231 memory: 17350 grad_norm: 6.6138 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3190 loss: 1.3190 2022/07/23 17:03:22 - mmengine - INFO - Epoch(train) [54][2940/3757] lr: 1.0000e-03 eta: 1 day, 8:15:38 time: 0.5756 data_time: 0.0250 memory: 17350 grad_norm: 6.5306 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2381 loss: 1.2381 2022/07/23 17:03:37 - mmengine - INFO - Epoch(train) [54][2960/3757] lr: 1.0000e-03 eta: 1 day, 8:15:25 time: 0.7307 data_time: 0.0218 memory: 17350 grad_norm: 6.6429 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3066 loss: 1.3066 2022/07/23 17:03:49 - mmengine - INFO - Epoch(train) [54][2980/3757] lr: 1.0000e-03 eta: 1 day, 8:15:11 time: 0.6099 data_time: 0.0224 memory: 17350 grad_norm: 6.5229 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3410 loss: 1.3410 2022/07/23 17:04:03 - mmengine - INFO - Epoch(train) [54][3000/3757] lr: 1.0000e-03 eta: 1 day, 8:14:58 time: 0.7119 data_time: 0.0272 memory: 17350 grad_norm: 6.5919 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2002 loss: 1.2002 2022/07/23 17:04:16 - mmengine - INFO - Epoch(train) [54][3020/3757] lr: 1.0000e-03 eta: 1 day, 8:14:44 time: 0.6234 data_time: 0.0247 memory: 17350 grad_norm: 6.6702 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2298 loss: 1.2298 2022/07/23 17:04:30 - mmengine - INFO - Epoch(train) [54][3040/3757] lr: 1.0000e-03 eta: 1 day, 8:14:31 time: 0.6972 data_time: 0.0220 memory: 17350 grad_norm: 6.6657 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1437 loss: 1.1437 2022/07/23 17:04:43 - mmengine - INFO - Epoch(train) [54][3060/3757] lr: 1.0000e-03 eta: 1 day, 8:14:18 time: 0.6538 data_time: 0.0355 memory: 17350 grad_norm: 6.6396 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1410 loss: 1.1410 2022/07/23 17:04:56 - mmengine - INFO - Epoch(train) [54][3080/3757] lr: 1.0000e-03 eta: 1 day, 8:14:04 time: 0.6617 data_time: 0.0228 memory: 17350 grad_norm: 6.6220 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2186 loss: 1.2186 2022/07/23 17:05:10 - mmengine - INFO - Epoch(train) [54][3100/3757] lr: 1.0000e-03 eta: 1 day, 8:13:51 time: 0.7095 data_time: 0.0234 memory: 17350 grad_norm: 6.8159 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3567 loss: 1.3567 2022/07/23 17:05:22 - mmengine - INFO - Epoch(train) [54][3120/3757] lr: 1.0000e-03 eta: 1 day, 8:13:37 time: 0.6002 data_time: 0.0327 memory: 17350 grad_norm: 6.7332 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1622 loss: 1.1622 2022/07/23 17:05:38 - mmengine - INFO - Epoch(train) [54][3140/3757] lr: 1.0000e-03 eta: 1 day, 8:13:25 time: 0.7681 data_time: 0.0227 memory: 17350 grad_norm: 6.5215 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2338 loss: 1.2338 2022/07/23 17:05:50 - mmengine - INFO - Epoch(train) [54][3160/3757] lr: 1.0000e-03 eta: 1 day, 8:13:10 time: 0.5854 data_time: 0.0236 memory: 17350 grad_norm: 6.7616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2848 loss: 1.2848 2022/07/23 17:06:04 - mmengine - INFO - Epoch(train) [54][3180/3757] lr: 1.0000e-03 eta: 1 day, 8:12:58 time: 0.7227 data_time: 0.0227 memory: 17350 grad_norm: 6.5395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1955 loss: 1.1955 2022/07/23 17:06:16 - mmengine - INFO - Epoch(train) [54][3200/3757] lr: 1.0000e-03 eta: 1 day, 8:12:43 time: 0.6053 data_time: 0.0242 memory: 17350 grad_norm: 6.7250 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3620 loss: 1.3620 2022/07/23 17:06:30 - mmengine - INFO - Epoch(train) [54][3220/3757] lr: 1.0000e-03 eta: 1 day, 8:12:31 time: 0.7046 data_time: 0.0198 memory: 17350 grad_norm: 6.6658 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1195 loss: 1.1195 2022/07/23 17:06:42 - mmengine - INFO - Epoch(train) [54][3240/3757] lr: 1.0000e-03 eta: 1 day, 8:12:16 time: 0.5870 data_time: 0.0257 memory: 17350 grad_norm: 6.6193 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2414 loss: 1.2414 2022/07/23 17:06:56 - mmengine - INFO - Epoch(train) [54][3260/3757] lr: 1.0000e-03 eta: 1 day, 8:12:03 time: 0.6816 data_time: 0.1624 memory: 17350 grad_norm: 6.8092 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2159 loss: 1.2159 2022/07/23 17:07:09 - mmengine - INFO - Epoch(train) [54][3280/3757] lr: 1.0000e-03 eta: 1 day, 8:11:49 time: 0.6560 data_time: 0.1329 memory: 17350 grad_norm: 6.4885 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3725 loss: 1.3725 2022/07/23 17:07:24 - mmengine - INFO - Epoch(train) [54][3300/3757] lr: 1.0000e-03 eta: 1 day, 8:11:37 time: 0.7538 data_time: 0.1050 memory: 17350 grad_norm: 6.5313 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0688 loss: 1.0688 2022/07/23 17:07:37 - mmengine - INFO - Epoch(train) [54][3320/3757] lr: 1.0000e-03 eta: 1 day, 8:11:24 time: 0.6672 data_time: 0.0227 memory: 17350 grad_norm: 6.5466 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0513 loss: 1.0513 2022/07/23 17:07:51 - mmengine - INFO - Epoch(train) [54][3340/3757] lr: 1.0000e-03 eta: 1 day, 8:11:10 time: 0.6730 data_time: 0.0204 memory: 17350 grad_norm: 6.4988 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3950 loss: 1.3950 2022/07/23 17:08:03 - mmengine - INFO - Epoch(train) [54][3360/3757] lr: 1.0000e-03 eta: 1 day, 8:10:56 time: 0.6140 data_time: 0.0237 memory: 17350 grad_norm: 6.8452 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4160 loss: 1.4160 2022/07/23 17:08:17 - mmengine - INFO - Epoch(train) [54][3380/3757] lr: 1.0000e-03 eta: 1 day, 8:10:44 time: 0.7255 data_time: 0.0252 memory: 17350 grad_norm: 6.5968 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1176 loss: 1.1176 2022/07/23 17:08:30 - mmengine - INFO - Epoch(train) [54][3400/3757] lr: 1.0000e-03 eta: 1 day, 8:10:29 time: 0.6080 data_time: 0.0237 memory: 17350 grad_norm: 6.7030 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2571 loss: 1.2571 2022/07/23 17:08:43 - mmengine - INFO - Epoch(train) [54][3420/3757] lr: 1.0000e-03 eta: 1 day, 8:10:16 time: 0.6709 data_time: 0.0276 memory: 17350 grad_norm: 6.9386 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3014 loss: 1.3014 2022/07/23 17:08:56 - mmengine - INFO - Epoch(train) [54][3440/3757] lr: 1.0000e-03 eta: 1 day, 8:10:03 time: 0.6689 data_time: 0.0212 memory: 17350 grad_norm: 6.5197 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1965 loss: 1.1965 2022/07/23 17:09:09 - mmengine - INFO - Epoch(train) [54][3460/3757] lr: 1.0000e-03 eta: 1 day, 8:09:49 time: 0.6342 data_time: 0.0322 memory: 17350 grad_norm: 6.6602 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2069 loss: 1.2069 2022/07/23 17:09:22 - mmengine - INFO - Epoch(train) [54][3480/3757] lr: 1.0000e-03 eta: 1 day, 8:09:35 time: 0.6475 data_time: 0.0379 memory: 17350 grad_norm: 6.5503 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1574 loss: 1.1574 2022/07/23 17:09:37 - mmengine - INFO - Epoch(train) [54][3500/3757] lr: 1.0000e-03 eta: 1 day, 8:09:23 time: 0.7312 data_time: 0.3028 memory: 17350 grad_norm: 6.7436 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1718 loss: 1.1718 2022/07/23 17:09:49 - mmengine - INFO - Epoch(train) [54][3520/3757] lr: 1.0000e-03 eta: 1 day, 8:09:08 time: 0.5926 data_time: 0.2075 memory: 17350 grad_norm: 6.6353 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2065 loss: 1.2065 2022/07/23 17:10:02 - mmengine - INFO - Epoch(train) [54][3540/3757] lr: 1.0000e-03 eta: 1 day, 8:08:55 time: 0.6909 data_time: 0.2278 memory: 17350 grad_norm: 6.5220 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1845 loss: 1.1845 2022/07/23 17:10:17 - mmengine - INFO - Epoch(train) [54][3560/3757] lr: 1.0000e-03 eta: 1 day, 8:08:43 time: 0.7429 data_time: 0.0613 memory: 17350 grad_norm: 6.7697 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2144 loss: 1.2144 2022/07/23 17:10:30 - mmengine - INFO - Epoch(train) [54][3580/3757] lr: 1.0000e-03 eta: 1 day, 8:08:29 time: 0.6329 data_time: 0.0208 memory: 17350 grad_norm: 6.7734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4018 loss: 1.4018 2022/07/23 17:10:44 - mmengine - INFO - Epoch(train) [54][3600/3757] lr: 1.0000e-03 eta: 1 day, 8:08:16 time: 0.7019 data_time: 0.0240 memory: 17350 grad_norm: 6.8476 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1016 loss: 1.1016 2022/07/23 17:10:58 - mmengine - INFO - Epoch(train) [54][3620/3757] lr: 1.0000e-03 eta: 1 day, 8:08:03 time: 0.6950 data_time: 0.0223 memory: 17350 grad_norm: 6.3214 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2369 loss: 1.2369 2022/07/23 17:11:11 - mmengine - INFO - Epoch(train) [54][3640/3757] lr: 1.0000e-03 eta: 1 day, 8:07:49 time: 0.6373 data_time: 0.0286 memory: 17350 grad_norm: 6.9030 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3394 loss: 1.3394 2022/07/23 17:11:24 - mmengine - INFO - Epoch(train) [54][3660/3757] lr: 1.0000e-03 eta: 1 day, 8:07:36 time: 0.6595 data_time: 0.0219 memory: 17350 grad_norm: 6.6948 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2324 loss: 1.2324 2022/07/23 17:11:38 - mmengine - INFO - Epoch(train) [54][3680/3757] lr: 1.0000e-03 eta: 1 day, 8:07:22 time: 0.6805 data_time: 0.0221 memory: 17350 grad_norm: 6.7121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2964 loss: 1.2964 2022/07/23 17:11:51 - mmengine - INFO - Epoch(train) [54][3700/3757] lr: 1.0000e-03 eta: 1 day, 8:07:09 time: 0.6845 data_time: 0.0223 memory: 17350 grad_norm: 6.8747 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9848 loss: 0.9848 2022/07/23 17:12:04 - mmengine - INFO - Epoch(train) [54][3720/3757] lr: 1.0000e-03 eta: 1 day, 8:06:55 time: 0.6354 data_time: 0.0235 memory: 17350 grad_norm: 6.6862 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3388 loss: 1.3388 2022/07/23 17:12:19 - mmengine - INFO - Epoch(train) [54][3740/3757] lr: 1.0000e-03 eta: 1 day, 8:06:43 time: 0.7416 data_time: 0.0207 memory: 17350 grad_norm: 6.7553 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2015 loss: 1.2015 2022/07/23 17:12:25 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 17:12:25 - mmengine - INFO - Epoch(train) [54][3757/3757] lr: 1.0000e-03 eta: 1 day, 8:06:43 time: 0.4878 data_time: 0.0214 memory: 17350 grad_norm: 6.7760 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.1344 loss: 1.1344 2022/07/23 17:12:42 - mmengine - INFO - Epoch(val) [54][20/310] eta: 0:04:07 time: 0.8547 data_time: 0.7396 memory: 3406 2022/07/23 17:12:54 - mmengine - INFO - Epoch(val) [54][40/310] eta: 0:02:38 time: 0.5863 data_time: 0.4736 memory: 3406 2022/07/23 17:13:08 - mmengine - INFO - Epoch(val) [54][60/310] eta: 0:02:53 time: 0.6951 data_time: 0.5811 memory: 3406 2022/07/23 17:13:19 - mmengine - INFO - Epoch(val) [54][80/310] eta: 0:02:09 time: 0.5640 data_time: 0.4503 memory: 3406 2022/07/23 17:13:34 - mmengine - INFO - Epoch(val) [54][100/310] eta: 0:02:36 time: 0.7430 data_time: 0.6297 memory: 3406 2022/07/23 17:13:45 - mmengine - INFO - Epoch(val) [54][120/310] eta: 0:01:48 time: 0.5704 data_time: 0.4580 memory: 3406 2022/07/23 17:14:00 - mmengine - INFO - Epoch(val) [54][140/310] eta: 0:02:05 time: 0.7383 data_time: 0.6259 memory: 3406 2022/07/23 17:14:12 - mmengine - INFO - Epoch(val) [54][160/310] eta: 0:01:32 time: 0.6154 data_time: 0.5024 memory: 3406 2022/07/23 17:14:26 - mmengine - INFO - Epoch(val) [54][180/310] eta: 0:01:28 time: 0.6833 data_time: 0.5736 memory: 3406 2022/07/23 17:14:40 - mmengine - INFO - Epoch(val) [54][200/310] eta: 0:01:15 time: 0.6825 data_time: 0.5702 memory: 3406 2022/07/23 17:14:53 - mmengine - INFO - Epoch(val) [54][220/310] eta: 0:01:00 time: 0.6703 data_time: 0.5581 memory: 3406 2022/07/23 17:15:06 - mmengine - INFO - Epoch(val) [54][240/310] eta: 0:00:45 time: 0.6441 data_time: 0.5289 memory: 3406 2022/07/23 17:15:20 - mmengine - INFO - Epoch(val) [54][260/310] eta: 0:00:35 time: 0.7097 data_time: 0.5966 memory: 3406 2022/07/23 17:15:32 - mmengine - INFO - Epoch(val) [54][280/310] eta: 0:00:17 time: 0.5831 data_time: 0.4642 memory: 3406 2022/07/23 17:15:47 - mmengine - INFO - Epoch(val) [54][300/310] eta: 0:00:07 time: 0.7663 data_time: 0.6523 memory: 3406 2022/07/23 17:15:55 - mmengine - INFO - Epoch(val) [54][310/310] acc/top1: 0.6735 acc/top5: 0.8745 acc/mean1: 0.6734 2022/07/23 17:16:14 - mmengine - INFO - Epoch(train) [55][20/3757] lr: 1.0000e-03 eta: 1 day, 8:06:14 time: 0.9787 data_time: 0.3923 memory: 17350 grad_norm: 6.6490 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0031 loss: 1.0031 2022/07/23 17:16:26 - mmengine - INFO - Epoch(train) [55][40/3757] lr: 1.0000e-03 eta: 1 day, 8:06:00 time: 0.6045 data_time: 0.0705 memory: 17350 grad_norm: 6.7293 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3357 loss: 1.3357 2022/07/23 17:16:42 - mmengine - INFO - Epoch(train) [55][60/3757] lr: 1.0000e-03 eta: 1 day, 8:05:48 time: 0.7969 data_time: 0.0637 memory: 17350 grad_norm: 6.3183 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3440 loss: 1.3440 2022/07/23 17:16:54 - mmengine - INFO - Epoch(train) [55][80/3757] lr: 1.0000e-03 eta: 1 day, 8:05:33 time: 0.5737 data_time: 0.0221 memory: 17350 grad_norm: 6.8675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2119 loss: 1.2119 2022/07/23 17:17:09 - mmengine - INFO - Epoch(train) [55][100/3757] lr: 1.0000e-03 eta: 1 day, 8:05:21 time: 0.7397 data_time: 0.0220 memory: 17350 grad_norm: 6.6650 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2798 loss: 1.2798 2022/07/23 17:17:20 - mmengine - INFO - Epoch(train) [55][120/3757] lr: 1.0000e-03 eta: 1 day, 8:05:06 time: 0.5853 data_time: 0.0262 memory: 17350 grad_norm: 6.7540 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2377 loss: 1.2377 2022/07/23 17:17:21 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 17:17:35 - mmengine - INFO - Epoch(train) [55][140/3757] lr: 1.0000e-03 eta: 1 day, 8:04:54 time: 0.7175 data_time: 0.0224 memory: 17350 grad_norm: 6.7936 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3842 loss: 1.3842 2022/07/23 17:17:47 - mmengine - INFO - Epoch(train) [55][160/3757] lr: 1.0000e-03 eta: 1 day, 8:04:39 time: 0.6030 data_time: 0.0253 memory: 17350 grad_norm: 6.4674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0735 loss: 1.0735 2022/07/23 17:18:02 - mmengine - INFO - Epoch(train) [55][180/3757] lr: 1.0000e-03 eta: 1 day, 8:04:28 time: 0.7688 data_time: 0.0248 memory: 17350 grad_norm: 6.5778 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0403 loss: 1.0403 2022/07/23 17:18:14 - mmengine - INFO - Epoch(train) [55][200/3757] lr: 1.0000e-03 eta: 1 day, 8:04:13 time: 0.5780 data_time: 0.0232 memory: 17350 grad_norm: 6.9817 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4314 loss: 1.4314 2022/07/23 17:18:29 - mmengine - INFO - Epoch(train) [55][220/3757] lr: 1.0000e-03 eta: 1 day, 8:04:01 time: 0.7668 data_time: 0.0214 memory: 17350 grad_norm: 6.7733 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3984 loss: 1.3984 2022/07/23 17:18:42 - mmengine - INFO - Epoch(train) [55][240/3757] lr: 1.0000e-03 eta: 1 day, 8:03:47 time: 0.6205 data_time: 0.0224 memory: 17350 grad_norm: 6.8938 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3330 loss: 1.3330 2022/07/23 17:18:56 - mmengine - INFO - Epoch(train) [55][260/3757] lr: 1.0000e-03 eta: 1 day, 8:03:34 time: 0.7242 data_time: 0.0249 memory: 17350 grad_norm: 6.8236 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1990 loss: 1.1990 2022/07/23 17:19:09 - mmengine - INFO - Epoch(train) [55][280/3757] lr: 1.0000e-03 eta: 1 day, 8:03:20 time: 0.6239 data_time: 0.0225 memory: 17350 grad_norm: 6.6791 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2657 loss: 1.2657 2022/07/23 17:19:23 - mmengine - INFO - Epoch(train) [55][300/3757] lr: 1.0000e-03 eta: 1 day, 8:03:08 time: 0.7164 data_time: 0.0233 memory: 17350 grad_norm: 6.9427 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3227 loss: 1.3227 2022/07/23 17:19:34 - mmengine - INFO - Epoch(train) [55][320/3757] lr: 1.0000e-03 eta: 1 day, 8:02:53 time: 0.5622 data_time: 0.0245 memory: 17350 grad_norm: 6.8367 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1953 loss: 1.1953 2022/07/23 17:19:48 - mmengine - INFO - Epoch(train) [55][340/3757] lr: 1.0000e-03 eta: 1 day, 8:02:40 time: 0.7075 data_time: 0.0223 memory: 17350 grad_norm: 6.7586 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4691 loss: 1.4691 2022/07/23 17:20:00 - mmengine - INFO - Epoch(train) [55][360/3757] lr: 1.0000e-03 eta: 1 day, 8:02:25 time: 0.5872 data_time: 0.0230 memory: 17350 grad_norm: 6.8320 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1407 loss: 1.1407 2022/07/23 17:20:17 - mmengine - INFO - Epoch(train) [55][380/3757] lr: 1.0000e-03 eta: 1 day, 8:02:15 time: 0.8403 data_time: 0.0219 memory: 17350 grad_norm: 6.9173 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2524 loss: 1.2524 2022/07/23 17:20:30 - mmengine - INFO - Epoch(train) [55][400/3757] lr: 1.0000e-03 eta: 1 day, 8:02:01 time: 0.6378 data_time: 0.0236 memory: 17350 grad_norm: 6.6066 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9486 loss: 0.9486 2022/07/23 17:20:46 - mmengine - INFO - Epoch(train) [55][420/3757] lr: 1.0000e-03 eta: 1 day, 8:01:49 time: 0.7912 data_time: 0.0216 memory: 17350 grad_norm: 6.7687 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2595 loss: 1.2595 2022/07/23 17:20:57 - mmengine - INFO - Epoch(train) [55][440/3757] lr: 1.0000e-03 eta: 1 day, 8:01:34 time: 0.5503 data_time: 0.0260 memory: 17350 grad_norm: 6.7492 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2535 loss: 1.2535 2022/07/23 17:21:12 - mmengine - INFO - Epoch(train) [55][460/3757] lr: 1.0000e-03 eta: 1 day, 8:01:22 time: 0.7666 data_time: 0.0212 memory: 17350 grad_norm: 6.8217 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3326 loss: 1.3326 2022/07/23 17:21:22 - mmengine - INFO - Epoch(train) [55][480/3757] lr: 1.0000e-03 eta: 1 day, 8:01:07 time: 0.5276 data_time: 0.0242 memory: 17350 grad_norm: 6.7187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2131 loss: 1.2131 2022/07/23 17:21:37 - mmengine - INFO - Epoch(train) [55][500/3757] lr: 1.0000e-03 eta: 1 day, 8:00:54 time: 0.7436 data_time: 0.0144 memory: 17350 grad_norm: 6.8390 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1996 loss: 1.1996 2022/07/23 17:21:50 - mmengine - INFO - Epoch(train) [55][520/3757] lr: 1.0000e-03 eta: 1 day, 8:00:40 time: 0.6181 data_time: 0.0237 memory: 17350 grad_norm: 6.8488 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2710 loss: 1.2710 2022/07/23 17:22:03 - mmengine - INFO - Epoch(train) [55][540/3757] lr: 1.0000e-03 eta: 1 day, 8:00:27 time: 0.6695 data_time: 0.0205 memory: 17350 grad_norm: 6.7190 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3365 loss: 1.3365 2022/07/23 17:22:14 - mmengine - INFO - Epoch(train) [55][560/3757] lr: 1.0000e-03 eta: 1 day, 8:00:11 time: 0.5530 data_time: 0.0247 memory: 17350 grad_norm: 7.0375 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2123 loss: 1.2123 2022/07/23 17:22:29 - mmengine - INFO - Epoch(train) [55][580/3757] lr: 1.0000e-03 eta: 1 day, 8:00:00 time: 0.7640 data_time: 0.0518 memory: 17350 grad_norm: 6.4902 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0977 loss: 1.0977 2022/07/23 17:22:42 - mmengine - INFO - Epoch(train) [55][600/3757] lr: 1.0000e-03 eta: 1 day, 7:59:45 time: 0.6066 data_time: 0.0250 memory: 17350 grad_norm: 6.6096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2724 loss: 1.2724 2022/07/23 17:22:57 - mmengine - INFO - Epoch(train) [55][620/3757] lr: 1.0000e-03 eta: 1 day, 7:59:33 time: 0.7510 data_time: 0.0222 memory: 17350 grad_norm: 6.6547 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3540 loss: 1.3540 2022/07/23 17:23:08 - mmengine - INFO - Epoch(train) [55][640/3757] lr: 1.0000e-03 eta: 1 day, 7:59:18 time: 0.5728 data_time: 0.0248 memory: 17350 grad_norm: 6.4874 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1709 loss: 1.1709 2022/07/23 17:23:23 - mmengine - INFO - Epoch(train) [55][660/3757] lr: 1.0000e-03 eta: 1 day, 7:59:07 time: 0.7636 data_time: 0.0279 memory: 17350 grad_norm: 6.8418 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1914 loss: 1.1914 2022/07/23 17:23:35 - mmengine - INFO - Epoch(train) [55][680/3757] lr: 1.0000e-03 eta: 1 day, 7:58:52 time: 0.5895 data_time: 0.0269 memory: 17350 grad_norm: 6.6988 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3164 loss: 1.3164 2022/07/23 17:23:50 - mmengine - INFO - Epoch(train) [55][700/3757] lr: 1.0000e-03 eta: 1 day, 7:58:40 time: 0.7392 data_time: 0.1313 memory: 17350 grad_norm: 6.5601 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2460 loss: 1.2460 2022/07/23 17:24:01 - mmengine - INFO - Epoch(train) [55][720/3757] lr: 1.0000e-03 eta: 1 day, 7:58:24 time: 0.5265 data_time: 0.0826 memory: 17350 grad_norm: 7.0366 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2530 loss: 1.2530 2022/07/23 17:24:15 - mmengine - INFO - Epoch(train) [55][740/3757] lr: 1.0000e-03 eta: 1 day, 7:58:11 time: 0.6971 data_time: 0.2419 memory: 17350 grad_norm: 6.8016 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3345 loss: 1.3345 2022/07/23 17:24:27 - mmengine - INFO - Epoch(train) [55][760/3757] lr: 1.0000e-03 eta: 1 day, 7:57:57 time: 0.6325 data_time: 0.1203 memory: 17350 grad_norm: 6.7125 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1781 loss: 1.1781 2022/07/23 17:24:41 - mmengine - INFO - Epoch(train) [55][780/3757] lr: 1.0000e-03 eta: 1 day, 7:57:44 time: 0.7009 data_time: 0.2334 memory: 17350 grad_norm: 7.0110 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2196 loss: 1.2196 2022/07/23 17:24:54 - mmengine - INFO - Epoch(train) [55][800/3757] lr: 1.0000e-03 eta: 1 day, 7:57:30 time: 0.6411 data_time: 0.1667 memory: 17350 grad_norm: 6.3755 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1281 loss: 1.1281 2022/07/23 17:25:09 - mmengine - INFO - Epoch(train) [55][820/3757] lr: 1.0000e-03 eta: 1 day, 7:57:18 time: 0.7498 data_time: 0.1715 memory: 17350 grad_norm: 6.7523 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2215 loss: 1.2215 2022/07/23 17:25:22 - mmengine - INFO - Epoch(train) [55][840/3757] lr: 1.0000e-03 eta: 1 day, 7:57:05 time: 0.6586 data_time: 0.0699 memory: 17350 grad_norm: 6.5167 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4519 loss: 1.4519 2022/07/23 17:25:37 - mmengine - INFO - Epoch(train) [55][860/3757] lr: 1.0000e-03 eta: 1 day, 7:56:52 time: 0.7234 data_time: 0.0224 memory: 17350 grad_norm: 6.6982 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5046 loss: 1.5046 2022/07/23 17:25:51 - mmengine - INFO - Epoch(train) [55][880/3757] lr: 1.0000e-03 eta: 1 day, 7:56:40 time: 0.7176 data_time: 0.0229 memory: 17350 grad_norm: 6.9446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2019 loss: 1.2019 2022/07/23 17:26:05 - mmengine - INFO - Epoch(train) [55][900/3757] lr: 1.0000e-03 eta: 1 day, 7:56:27 time: 0.6806 data_time: 0.0236 memory: 17350 grad_norm: 6.6905 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3375 loss: 1.3375 2022/07/23 17:26:17 - mmengine - INFO - Epoch(train) [55][920/3757] lr: 1.0000e-03 eta: 1 day, 7:56:12 time: 0.6229 data_time: 0.0247 memory: 17350 grad_norm: 6.5804 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0051 loss: 1.0051 2022/07/23 17:26:30 - mmengine - INFO - Epoch(train) [55][940/3757] lr: 1.0000e-03 eta: 1 day, 7:55:59 time: 0.6449 data_time: 0.0236 memory: 17350 grad_norm: 6.8305 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1337 loss: 1.1337 2022/07/23 17:26:43 - mmengine - INFO - Epoch(train) [55][960/3757] lr: 1.0000e-03 eta: 1 day, 7:55:45 time: 0.6299 data_time: 0.0245 memory: 17350 grad_norm: 6.5643 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1779 loss: 1.1779 2022/07/23 17:26:58 - mmengine - INFO - Epoch(train) [55][980/3757] lr: 1.0000e-03 eta: 1 day, 7:55:33 time: 0.7743 data_time: 0.0226 memory: 17350 grad_norm: 6.6591 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3370 loss: 1.3370 2022/07/23 17:27:10 - mmengine - INFO - Epoch(train) [55][1000/3757] lr: 1.0000e-03 eta: 1 day, 7:55:18 time: 0.5769 data_time: 0.0343 memory: 17350 grad_norm: 6.6026 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4145 loss: 1.4145 2022/07/23 17:27:24 - mmengine - INFO - Epoch(train) [55][1020/3757] lr: 1.0000e-03 eta: 1 day, 7:55:05 time: 0.7116 data_time: 0.0231 memory: 17350 grad_norm: 6.9727 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0901 loss: 1.0901 2022/07/23 17:27:36 - mmengine - INFO - Epoch(train) [55][1040/3757] lr: 1.0000e-03 eta: 1 day, 7:54:51 time: 0.5811 data_time: 0.0217 memory: 17350 grad_norm: 6.5031 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3296 loss: 1.3296 2022/07/23 17:27:50 - mmengine - INFO - Epoch(train) [55][1060/3757] lr: 1.0000e-03 eta: 1 day, 7:54:38 time: 0.7132 data_time: 0.0218 memory: 17350 grad_norm: 6.6798 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2680 loss: 1.2680 2022/07/23 17:28:03 - mmengine - INFO - Epoch(train) [55][1080/3757] lr: 1.0000e-03 eta: 1 day, 7:54:24 time: 0.6356 data_time: 0.0248 memory: 17350 grad_norm: 6.8631 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2415 loss: 1.2415 2022/07/23 17:28:19 - mmengine - INFO - Epoch(train) [55][1100/3757] lr: 1.0000e-03 eta: 1 day, 7:54:13 time: 0.8025 data_time: 0.0213 memory: 17350 grad_norm: 6.7386 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4164 loss: 1.4164 2022/07/23 17:28:29 - mmengine - INFO - Epoch(train) [55][1120/3757] lr: 1.0000e-03 eta: 1 day, 7:53:57 time: 0.5398 data_time: 0.0235 memory: 17350 grad_norm: 6.8608 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1564 loss: 1.1564 2022/07/23 17:28:30 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 17:28:46 - mmengine - INFO - Epoch(train) [55][1140/3757] lr: 1.0000e-03 eta: 1 day, 7:53:46 time: 0.8023 data_time: 0.0345 memory: 17350 grad_norm: 6.6261 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2354 loss: 1.2354 2022/07/23 17:28:55 - mmengine - INFO - Epoch(train) [55][1160/3757] lr: 1.0000e-03 eta: 1 day, 7:53:30 time: 0.4772 data_time: 0.0232 memory: 17350 grad_norm: 6.8353 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2840 loss: 1.2840 2022/07/23 17:29:08 - mmengine - INFO - Epoch(train) [55][1180/3757] lr: 1.0000e-03 eta: 1 day, 7:53:16 time: 0.6695 data_time: 0.0125 memory: 17350 grad_norm: 6.5103 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2312 loss: 1.2312 2022/07/23 17:29:23 - mmengine - INFO - Epoch(train) [55][1200/3757] lr: 1.0000e-03 eta: 1 day, 7:53:04 time: 0.7372 data_time: 0.3575 memory: 17350 grad_norm: 6.4408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3412 loss: 1.3412 2022/07/23 17:29:35 - mmengine - INFO - Epoch(train) [55][1220/3757] lr: 1.0000e-03 eta: 1 day, 7:52:49 time: 0.5749 data_time: 0.2405 memory: 17350 grad_norm: 6.6154 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3793 loss: 1.3793 2022/07/23 17:29:49 - mmengine - INFO - Epoch(train) [55][1240/3757] lr: 1.0000e-03 eta: 1 day, 7:52:36 time: 0.6981 data_time: 0.2811 memory: 17350 grad_norm: 6.6056 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2966 loss: 1.2966 2022/07/23 17:30:03 - mmengine - INFO - Epoch(train) [55][1260/3757] lr: 1.0000e-03 eta: 1 day, 7:52:24 time: 0.7284 data_time: 0.0908 memory: 17350 grad_norm: 6.6650 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2174 loss: 1.2174 2022/07/23 17:30:16 - mmengine - INFO - Epoch(train) [55][1280/3757] lr: 1.0000e-03 eta: 1 day, 7:52:09 time: 0.6115 data_time: 0.0441 memory: 17350 grad_norm: 6.9299 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9387 loss: 0.9387 2022/07/23 17:30:30 - mmengine - INFO - Epoch(train) [55][1300/3757] lr: 1.0000e-03 eta: 1 day, 7:51:57 time: 0.7067 data_time: 0.0223 memory: 17350 grad_norm: 6.7214 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2509 loss: 1.2509 2022/07/23 17:30:43 - mmengine - INFO - Epoch(train) [55][1320/3757] lr: 1.0000e-03 eta: 1 day, 7:51:43 time: 0.6811 data_time: 0.0355 memory: 17350 grad_norm: 6.8269 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1742 loss: 1.1742 2022/07/23 17:30:56 - mmengine - INFO - Epoch(train) [55][1340/3757] lr: 1.0000e-03 eta: 1 day, 7:51:29 time: 0.6086 data_time: 0.0220 memory: 17350 grad_norm: 6.8539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2941 loss: 1.2941 2022/07/23 17:31:10 - mmengine - INFO - Epoch(train) [55][1360/3757] lr: 1.0000e-03 eta: 1 day, 7:51:16 time: 0.6993 data_time: 0.1401 memory: 17350 grad_norm: 6.7907 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5744 loss: 1.5744 2022/07/23 17:31:21 - mmengine - INFO - Epoch(train) [55][1380/3757] lr: 1.0000e-03 eta: 1 day, 7:51:01 time: 0.5834 data_time: 0.0685 memory: 17350 grad_norm: 6.9976 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1648 loss: 1.1648 2022/07/23 17:31:35 - mmengine - INFO - Epoch(train) [55][1400/3757] lr: 1.0000e-03 eta: 1 day, 7:50:49 time: 0.6988 data_time: 0.2884 memory: 17350 grad_norm: 6.7869 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.2845 loss: 1.2845 2022/07/23 17:31:48 - mmengine - INFO - Epoch(train) [55][1420/3757] lr: 1.0000e-03 eta: 1 day, 7:50:34 time: 0.6211 data_time: 0.2197 memory: 17350 grad_norm: 6.6002 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2293 loss: 1.2293 2022/07/23 17:32:02 - mmengine - INFO - Epoch(train) [55][1440/3757] lr: 1.0000e-03 eta: 1 day, 7:50:22 time: 0.7223 data_time: 0.3156 memory: 17350 grad_norm: 6.6628 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3121 loss: 1.3121 2022/07/23 17:32:16 - mmengine - INFO - Epoch(train) [55][1460/3757] lr: 1.0000e-03 eta: 1 day, 7:50:09 time: 0.6784 data_time: 0.0926 memory: 17350 grad_norm: 6.5549 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3996 loss: 1.3996 2022/07/23 17:32:29 - mmengine - INFO - Epoch(train) [55][1480/3757] lr: 1.0000e-03 eta: 1 day, 7:49:56 time: 0.6811 data_time: 0.0231 memory: 17350 grad_norm: 6.8313 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4141 loss: 1.4141 2022/07/23 17:32:42 - mmengine - INFO - Epoch(train) [55][1500/3757] lr: 1.0000e-03 eta: 1 day, 7:49:41 time: 0.6192 data_time: 0.0238 memory: 17350 grad_norm: 6.5324 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0696 loss: 1.0696 2022/07/23 17:32:55 - mmengine - INFO - Epoch(train) [55][1520/3757] lr: 1.0000e-03 eta: 1 day, 7:49:28 time: 0.6789 data_time: 0.1336 memory: 17350 grad_norm: 6.7140 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2255 loss: 1.2255 2022/07/23 17:33:10 - mmengine - INFO - Epoch(train) [55][1540/3757] lr: 1.0000e-03 eta: 1 day, 7:49:15 time: 0.7130 data_time: 0.1173 memory: 17350 grad_norm: 6.5736 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9334 loss: 0.9334 2022/07/23 17:33:23 - mmengine - INFO - Epoch(train) [55][1560/3757] lr: 1.0000e-03 eta: 1 day, 7:49:02 time: 0.6493 data_time: 0.0360 memory: 17350 grad_norm: 6.8764 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2700 loss: 1.2700 2022/07/23 17:33:36 - mmengine - INFO - Epoch(train) [55][1580/3757] lr: 1.0000e-03 eta: 1 day, 7:48:48 time: 0.6515 data_time: 0.0518 memory: 17350 grad_norm: 6.5461 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1884 loss: 1.1884 2022/07/23 17:33:49 - mmengine - INFO - Epoch(train) [55][1600/3757] lr: 1.0000e-03 eta: 1 day, 7:48:34 time: 0.6539 data_time: 0.0242 memory: 17350 grad_norm: 6.6439 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2510 loss: 1.2510 2022/07/23 17:34:04 - mmengine - INFO - Epoch(train) [55][1620/3757] lr: 1.0000e-03 eta: 1 day, 7:48:22 time: 0.7445 data_time: 0.0208 memory: 17350 grad_norm: 6.5295 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3179 loss: 1.3179 2022/07/23 17:34:15 - mmengine - INFO - Epoch(train) [55][1640/3757] lr: 1.0000e-03 eta: 1 day, 7:48:07 time: 0.5592 data_time: 0.0838 memory: 17350 grad_norm: 6.6109 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1280 loss: 1.1280 2022/07/23 17:34:28 - mmengine - INFO - Epoch(train) [55][1660/3757] lr: 1.0000e-03 eta: 1 day, 7:47:54 time: 0.6764 data_time: 0.0353 memory: 17350 grad_norm: 6.4522 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1266 loss: 1.1266 2022/07/23 17:34:41 - mmengine - INFO - Epoch(train) [55][1680/3757] lr: 1.0000e-03 eta: 1 day, 7:47:40 time: 0.6476 data_time: 0.0685 memory: 17350 grad_norm: 6.4080 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3288 loss: 1.3288 2022/07/23 17:34:55 - mmengine - INFO - Epoch(train) [55][1700/3757] lr: 1.0000e-03 eta: 1 day, 7:47:27 time: 0.6609 data_time: 0.0239 memory: 17350 grad_norm: 6.8573 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1851 loss: 1.1851 2022/07/23 17:35:09 - mmengine - INFO - Epoch(train) [55][1720/3757] lr: 1.0000e-03 eta: 1 day, 7:47:14 time: 0.7000 data_time: 0.2272 memory: 17350 grad_norm: 6.9318 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1689 loss: 1.1689 2022/07/23 17:35:23 - mmengine - INFO - Epoch(train) [55][1740/3757] lr: 1.0000e-03 eta: 1 day, 7:47:01 time: 0.7157 data_time: 0.1700 memory: 17350 grad_norm: 6.6507 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3710 loss: 1.3710 2022/07/23 17:35:35 - mmengine - INFO - Epoch(train) [55][1760/3757] lr: 1.0000e-03 eta: 1 day, 7:46:47 time: 0.6301 data_time: 0.1155 memory: 17350 grad_norm: 6.6349 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2166 loss: 1.2166 2022/07/23 17:35:49 - mmengine - INFO - Epoch(train) [55][1780/3757] lr: 1.0000e-03 eta: 1 day, 7:46:34 time: 0.6876 data_time: 0.0893 memory: 17350 grad_norm: 6.4821 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9000 loss: 0.9000 2022/07/23 17:36:02 - mmengine - INFO - Epoch(train) [55][1800/3757] lr: 1.0000e-03 eta: 1 day, 7:46:20 time: 0.6478 data_time: 0.1103 memory: 17350 grad_norm: 6.6233 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1172 loss: 1.1172 2022/07/23 17:36:16 - mmengine - INFO - Epoch(train) [55][1820/3757] lr: 1.0000e-03 eta: 1 day, 7:46:08 time: 0.7122 data_time: 0.0227 memory: 17350 grad_norm: 6.6636 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1147 loss: 1.1147 2022/07/23 17:36:28 - mmengine - INFO - Epoch(train) [55][1840/3757] lr: 1.0000e-03 eta: 1 day, 7:45:53 time: 0.6004 data_time: 0.0760 memory: 17350 grad_norm: 6.6352 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0966 loss: 1.0966 2022/07/23 17:36:43 - mmengine - INFO - Epoch(train) [55][1860/3757] lr: 1.0000e-03 eta: 1 day, 7:45:41 time: 0.7176 data_time: 0.0213 memory: 17350 grad_norm: 6.8191 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3488 loss: 1.3488 2022/07/23 17:36:56 - mmengine - INFO - Epoch(train) [55][1880/3757] lr: 1.0000e-03 eta: 1 day, 7:45:27 time: 0.6563 data_time: 0.0234 memory: 17350 grad_norm: 6.5695 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1306 loss: 1.1306 2022/07/23 17:37:11 - mmengine - INFO - Epoch(train) [55][1900/3757] lr: 1.0000e-03 eta: 1 day, 7:45:15 time: 0.7307 data_time: 0.0238 memory: 17350 grad_norm: 6.7562 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3123 loss: 1.3123 2022/07/23 17:37:22 - mmengine - INFO - Epoch(train) [55][1920/3757] lr: 1.0000e-03 eta: 1 day, 7:45:00 time: 0.5615 data_time: 0.0222 memory: 17350 grad_norm: 6.8542 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2918 loss: 1.2918 2022/07/23 17:37:39 - mmengine - INFO - Epoch(train) [55][1940/3757] lr: 1.0000e-03 eta: 1 day, 7:44:49 time: 0.8381 data_time: 0.0375 memory: 17350 grad_norm: 6.8765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1913 loss: 1.1913 2022/07/23 17:37:54 - mmengine - INFO - Epoch(train) [55][1960/3757] lr: 1.0000e-03 eta: 1 day, 7:44:37 time: 0.7603 data_time: 0.0266 memory: 17350 grad_norm: 6.5889 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1592 loss: 1.1592 2022/07/23 17:38:07 - mmengine - INFO - Epoch(train) [55][1980/3757] lr: 1.0000e-03 eta: 1 day, 7:44:24 time: 0.6745 data_time: 0.0261 memory: 17350 grad_norm: 6.8694 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4285 loss: 1.4285 2022/07/23 17:38:20 - mmengine - INFO - Epoch(train) [55][2000/3757] lr: 1.0000e-03 eta: 1 day, 7:44:10 time: 0.6280 data_time: 0.0222 memory: 17350 grad_norm: 7.0207 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7985 loss: 1.7985 2022/07/23 17:38:35 - mmengine - INFO - Epoch(train) [55][2020/3757] lr: 1.0000e-03 eta: 1 day, 7:43:58 time: 0.7708 data_time: 0.0230 memory: 17350 grad_norm: 6.4738 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0054 loss: 1.0054 2022/07/23 17:38:47 - mmengine - INFO - Epoch(train) [55][2040/3757] lr: 1.0000e-03 eta: 1 day, 7:43:43 time: 0.5912 data_time: 0.0249 memory: 17350 grad_norm: 6.4834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3853 loss: 1.3853 2022/07/23 17:39:01 - mmengine - INFO - Epoch(train) [55][2060/3757] lr: 1.0000e-03 eta: 1 day, 7:43:31 time: 0.6982 data_time: 0.0231 memory: 17350 grad_norm: 6.5434 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0466 loss: 1.0466 2022/07/23 17:39:13 - mmengine - INFO - Epoch(train) [55][2080/3757] lr: 1.0000e-03 eta: 1 day, 7:43:16 time: 0.5825 data_time: 0.0222 memory: 17350 grad_norm: 6.6289 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2882 loss: 1.2882 2022/07/23 17:39:27 - mmengine - INFO - Epoch(train) [55][2100/3757] lr: 1.0000e-03 eta: 1 day, 7:43:03 time: 0.7176 data_time: 0.0220 memory: 17350 grad_norm: 6.8963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3452 loss: 1.3452 2022/07/23 17:39:38 - mmengine - INFO - Epoch(train) [55][2120/3757] lr: 1.0000e-03 eta: 1 day, 7:42:48 time: 0.5498 data_time: 0.0252 memory: 17350 grad_norm: 6.7597 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1986 loss: 1.1986 2022/07/23 17:39:39 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 17:39:55 - mmengine - INFO - Epoch(train) [55][2140/3757] lr: 1.0000e-03 eta: 1 day, 7:42:37 time: 0.8200 data_time: 0.0221 memory: 17350 grad_norm: 6.9545 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4586 loss: 1.4586 2022/07/23 17:40:07 - mmengine - INFO - Epoch(train) [55][2160/3757] lr: 1.0000e-03 eta: 1 day, 7:42:23 time: 0.6101 data_time: 0.0236 memory: 17350 grad_norm: 7.0925 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5909 loss: 1.5909 2022/07/23 17:40:21 - mmengine - INFO - Epoch(train) [55][2180/3757] lr: 1.0000e-03 eta: 1 day, 7:42:10 time: 0.7287 data_time: 0.0230 memory: 17350 grad_norm: 7.1652 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4983 loss: 1.4983 2022/07/23 17:40:34 - mmengine - INFO - Epoch(train) [55][2200/3757] lr: 1.0000e-03 eta: 1 day, 7:41:56 time: 0.6153 data_time: 0.0269 memory: 17350 grad_norm: 6.9761 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3826 loss: 1.3826 2022/07/23 17:40:47 - mmengine - INFO - Epoch(train) [55][2220/3757] lr: 1.0000e-03 eta: 1 day, 7:41:42 time: 0.6392 data_time: 0.0238 memory: 17350 grad_norm: 6.7837 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2822 loss: 1.2822 2022/07/23 17:41:01 - mmengine - INFO - Epoch(train) [55][2240/3757] lr: 1.0000e-03 eta: 1 day, 7:41:30 time: 0.7232 data_time: 0.0221 memory: 17350 grad_norm: 6.6500 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6740 loss: 1.6740 2022/07/23 17:41:12 - mmengine - INFO - Epoch(train) [55][2260/3757] lr: 1.0000e-03 eta: 1 day, 7:41:15 time: 0.5714 data_time: 0.0699 memory: 17350 grad_norm: 6.7771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3138 loss: 1.3138 2022/07/23 17:41:27 - mmengine - INFO - Epoch(train) [55][2280/3757] lr: 1.0000e-03 eta: 1 day, 7:41:02 time: 0.7120 data_time: 0.0891 memory: 17350 grad_norm: 6.5070 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0251 loss: 1.0251 2022/07/23 17:41:39 - mmengine - INFO - Epoch(train) [55][2300/3757] lr: 1.0000e-03 eta: 1 day, 7:40:48 time: 0.6142 data_time: 0.0224 memory: 17350 grad_norm: 6.6975 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2661 loss: 1.2661 2022/07/23 17:41:53 - mmengine - INFO - Epoch(train) [55][2320/3757] lr: 1.0000e-03 eta: 1 day, 7:40:35 time: 0.7237 data_time: 0.0203 memory: 17350 grad_norm: 6.3182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9092 loss: 0.9092 2022/07/23 17:42:06 - mmengine - INFO - Epoch(train) [55][2340/3757] lr: 1.0000e-03 eta: 1 day, 7:40:21 time: 0.6170 data_time: 0.0243 memory: 17350 grad_norm: 6.5325 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0443 loss: 1.0443 2022/07/23 17:42:20 - mmengine - INFO - Epoch(train) [55][2360/3757] lr: 1.0000e-03 eta: 1 day, 7:40:08 time: 0.6933 data_time: 0.0199 memory: 17350 grad_norm: 6.9235 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2596 loss: 1.2596 2022/07/23 17:42:33 - mmengine - INFO - Epoch(train) [55][2380/3757] lr: 1.0000e-03 eta: 1 day, 7:39:55 time: 0.6870 data_time: 0.0226 memory: 17350 grad_norm: 6.7909 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1976 loss: 1.1976 2022/07/23 17:42:46 - mmengine - INFO - Epoch(train) [55][2400/3757] lr: 1.0000e-03 eta: 1 day, 7:39:41 time: 0.6489 data_time: 0.0369 memory: 17350 grad_norm: 6.6329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3350 loss: 1.3350 2022/07/23 17:43:00 - mmengine - INFO - Epoch(train) [55][2420/3757] lr: 1.0000e-03 eta: 1 day, 7:39:28 time: 0.6664 data_time: 0.0149 memory: 17350 grad_norm: 6.7932 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0894 loss: 1.0894 2022/07/23 17:43:16 - mmengine - INFO - Epoch(train) [55][2440/3757] lr: 1.0000e-03 eta: 1 day, 7:39:17 time: 0.8034 data_time: 0.0235 memory: 17350 grad_norm: 6.8461 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1763 loss: 1.1763 2022/07/23 17:43:29 - mmengine - INFO - Epoch(train) [55][2460/3757] lr: 1.0000e-03 eta: 1 day, 7:39:03 time: 0.6579 data_time: 0.0237 memory: 17350 grad_norm: 6.7682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1131 loss: 1.1131 2022/07/23 17:43:44 - mmengine - INFO - Epoch(train) [55][2480/3757] lr: 1.0000e-03 eta: 1 day, 7:38:51 time: 0.7359 data_time: 0.1246 memory: 17350 grad_norm: 6.7436 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3006 loss: 1.3006 2022/07/23 17:43:56 - mmengine - INFO - Epoch(train) [55][2500/3757] lr: 1.0000e-03 eta: 1 day, 7:38:37 time: 0.6360 data_time: 0.3065 memory: 17350 grad_norm: 6.4186 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9760 loss: 0.9760 2022/07/23 17:44:09 - mmengine - INFO - Epoch(train) [55][2520/3757] lr: 1.0000e-03 eta: 1 day, 7:38:23 time: 0.6361 data_time: 0.3001 memory: 17350 grad_norm: 6.6590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1017 loss: 1.1017 2022/07/23 17:44:22 - mmengine - INFO - Epoch(train) [55][2540/3757] lr: 1.0000e-03 eta: 1 day, 7:38:09 time: 0.6332 data_time: 0.2348 memory: 17350 grad_norm: 6.6154 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0507 loss: 1.0507 2022/07/23 17:44:36 - mmengine - INFO - Epoch(train) [55][2560/3757] lr: 1.0000e-03 eta: 1 day, 7:37:56 time: 0.7064 data_time: 0.2832 memory: 17350 grad_norm: 6.9634 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3173 loss: 1.3173 2022/07/23 17:44:48 - mmengine - INFO - Epoch(train) [55][2580/3757] lr: 1.0000e-03 eta: 1 day, 7:37:42 time: 0.5826 data_time: 0.2409 memory: 17350 grad_norm: 6.6566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0844 loss: 1.0844 2022/07/23 17:45:02 - mmengine - INFO - Epoch(train) [55][2600/3757] lr: 1.0000e-03 eta: 1 day, 7:37:28 time: 0.6900 data_time: 0.2080 memory: 17350 grad_norm: 7.1204 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1294 loss: 1.1294 2022/07/23 17:45:17 - mmengine - INFO - Epoch(train) [55][2620/3757] lr: 1.0000e-03 eta: 1 day, 7:37:17 time: 0.7775 data_time: 0.0272 memory: 17350 grad_norm: 6.6391 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3247 loss: 1.3247 2022/07/23 17:45:29 - mmengine - INFO - Epoch(train) [55][2640/3757] lr: 1.0000e-03 eta: 1 day, 7:37:02 time: 0.5864 data_time: 0.0242 memory: 17350 grad_norm: 6.5344 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1151 loss: 1.1151 2022/07/23 17:45:44 - mmengine - INFO - Epoch(train) [55][2660/3757] lr: 1.0000e-03 eta: 1 day, 7:36:50 time: 0.7374 data_time: 0.0256 memory: 17350 grad_norm: 6.6353 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2068 loss: 1.2068 2022/07/23 17:45:56 - mmengine - INFO - Epoch(train) [55][2680/3757] lr: 1.0000e-03 eta: 1 day, 7:36:36 time: 0.6129 data_time: 0.0235 memory: 17350 grad_norm: 6.7169 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3229 loss: 1.3229 2022/07/23 17:46:10 - mmengine - INFO - Epoch(train) [55][2700/3757] lr: 1.0000e-03 eta: 1 day, 7:36:23 time: 0.6874 data_time: 0.0240 memory: 17350 grad_norm: 6.8902 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5428 loss: 1.5428 2022/07/23 17:46:22 - mmengine - INFO - Epoch(train) [55][2720/3757] lr: 1.0000e-03 eta: 1 day, 7:36:08 time: 0.6222 data_time: 0.0242 memory: 17350 grad_norm: 6.6036 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1261 loss: 1.1261 2022/07/23 17:46:36 - mmengine - INFO - Epoch(train) [55][2740/3757] lr: 1.0000e-03 eta: 1 day, 7:35:55 time: 0.6849 data_time: 0.0229 memory: 17350 grad_norm: 6.9775 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5279 loss: 1.5279 2022/07/23 17:46:53 - mmengine - INFO - Epoch(train) [55][2760/3757] lr: 1.0000e-03 eta: 1 day, 7:35:45 time: 0.8452 data_time: 0.0244 memory: 17350 grad_norm: 6.7873 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3563 loss: 1.3563 2022/07/23 17:47:05 - mmengine - INFO - Epoch(train) [55][2780/3757] lr: 1.0000e-03 eta: 1 day, 7:35:30 time: 0.5929 data_time: 0.1132 memory: 17350 grad_norm: 6.5316 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1667 loss: 1.1667 2022/07/23 17:47:19 - mmengine - INFO - Epoch(train) [55][2800/3757] lr: 1.0000e-03 eta: 1 day, 7:35:18 time: 0.7328 data_time: 0.0135 memory: 17350 grad_norm: 6.7617 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3977 loss: 1.3977 2022/07/23 17:47:31 - mmengine - INFO - Epoch(train) [55][2820/3757] lr: 1.0000e-03 eta: 1 day, 7:35:03 time: 0.6008 data_time: 0.0236 memory: 17350 grad_norm: 6.8809 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2777 loss: 1.2777 2022/07/23 17:47:46 - mmengine - INFO - Epoch(train) [55][2840/3757] lr: 1.0000e-03 eta: 1 day, 7:34:51 time: 0.7250 data_time: 0.0239 memory: 17350 grad_norm: 6.7270 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2953 loss: 1.2953 2022/07/23 17:47:57 - mmengine - INFO - Epoch(train) [55][2860/3757] lr: 1.0000e-03 eta: 1 day, 7:34:36 time: 0.5708 data_time: 0.0217 memory: 17350 grad_norm: 6.8144 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2770 loss: 1.2770 2022/07/23 17:48:12 - mmengine - INFO - Epoch(train) [55][2880/3757] lr: 1.0000e-03 eta: 1 day, 7:34:24 time: 0.7334 data_time: 0.0223 memory: 17350 grad_norm: 7.0568 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1700 loss: 1.1700 2022/07/23 17:48:24 - mmengine - INFO - Epoch(train) [55][2900/3757] lr: 1.0000e-03 eta: 1 day, 7:34:09 time: 0.5985 data_time: 0.0222 memory: 17350 grad_norm: 6.7061 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9631 loss: 0.9631 2022/07/23 17:48:38 - mmengine - INFO - Epoch(train) [55][2920/3757] lr: 1.0000e-03 eta: 1 day, 7:33:56 time: 0.7149 data_time: 0.0240 memory: 17350 grad_norm: 6.9141 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4442 loss: 1.4442 2022/07/23 17:48:50 - mmengine - INFO - Epoch(train) [55][2940/3757] lr: 1.0000e-03 eta: 1 day, 7:33:42 time: 0.5829 data_time: 0.0222 memory: 17350 grad_norm: 6.9095 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3472 loss: 1.3472 2022/07/23 17:49:05 - mmengine - INFO - Epoch(train) [55][2960/3757] lr: 1.0000e-03 eta: 1 day, 7:33:30 time: 0.7570 data_time: 0.0235 memory: 17350 grad_norm: 6.5826 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3704 loss: 1.3704 2022/07/23 17:49:17 - mmengine - INFO - Epoch(train) [55][2980/3757] lr: 1.0000e-03 eta: 1 day, 7:33:15 time: 0.5834 data_time: 0.0214 memory: 17350 grad_norm: 7.0168 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1946 loss: 1.1946 2022/07/23 17:49:32 - mmengine - INFO - Epoch(train) [55][3000/3757] lr: 1.0000e-03 eta: 1 day, 7:33:03 time: 0.7469 data_time: 0.0211 memory: 17350 grad_norm: 7.1751 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2075 loss: 1.2075 2022/07/23 17:49:45 - mmengine - INFO - Epoch(train) [55][3020/3757] lr: 1.0000e-03 eta: 1 day, 7:32:49 time: 0.6513 data_time: 0.0233 memory: 17350 grad_norm: 6.7788 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0906 loss: 1.0906 2022/07/23 17:49:59 - mmengine - INFO - Epoch(train) [55][3040/3757] lr: 1.0000e-03 eta: 1 day, 7:32:37 time: 0.7128 data_time: 0.0266 memory: 17350 grad_norm: 6.4858 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1594 loss: 1.1594 2022/07/23 17:50:12 - mmengine - INFO - Epoch(train) [55][3060/3757] lr: 1.0000e-03 eta: 1 day, 7:32:23 time: 0.6442 data_time: 0.0227 memory: 17350 grad_norm: 6.6833 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3023 loss: 1.3023 2022/07/23 17:50:27 - mmengine - INFO - Epoch(train) [55][3080/3757] lr: 1.0000e-03 eta: 1 day, 7:32:11 time: 0.7470 data_time: 0.0224 memory: 17350 grad_norm: 6.8713 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4890 loss: 1.4890 2022/07/23 17:50:38 - mmengine - INFO - Epoch(train) [55][3100/3757] lr: 1.0000e-03 eta: 1 day, 7:31:56 time: 0.5723 data_time: 0.0226 memory: 17350 grad_norm: 6.5250 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1480 loss: 1.1480 2022/07/23 17:50:53 - mmengine - INFO - Epoch(train) [55][3120/3757] lr: 1.0000e-03 eta: 1 day, 7:31:43 time: 0.7148 data_time: 0.0214 memory: 17350 grad_norm: 6.6130 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2244 loss: 1.2244 2022/07/23 17:50:53 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 17:51:05 - mmengine - INFO - Epoch(train) [55][3140/3757] lr: 1.0000e-03 eta: 1 day, 7:31:29 time: 0.5989 data_time: 0.0221 memory: 17350 grad_norm: 6.5138 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9887 loss: 0.9887 2022/07/23 17:51:19 - mmengine - INFO - Epoch(train) [55][3160/3757] lr: 1.0000e-03 eta: 1 day, 7:31:16 time: 0.7366 data_time: 0.0237 memory: 17350 grad_norm: 6.9827 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3026 loss: 1.3026 2022/07/23 17:51:32 - mmengine - INFO - Epoch(train) [55][3180/3757] lr: 1.0000e-03 eta: 1 day, 7:31:03 time: 0.6456 data_time: 0.0212 memory: 17350 grad_norm: 6.7850 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0441 loss: 1.0441 2022/07/23 17:51:47 - mmengine - INFO - Epoch(train) [55][3200/3757] lr: 1.0000e-03 eta: 1 day, 7:30:51 time: 0.7504 data_time: 0.0249 memory: 17350 grad_norm: 6.6890 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3688 loss: 1.3688 2022/07/23 17:51:59 - mmengine - INFO - Epoch(train) [55][3220/3757] lr: 1.0000e-03 eta: 1 day, 7:30:36 time: 0.5968 data_time: 0.0263 memory: 17350 grad_norm: 7.0213 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6145 loss: 1.6145 2022/07/23 17:52:14 - mmengine - INFO - Epoch(train) [55][3240/3757] lr: 1.0000e-03 eta: 1 day, 7:30:24 time: 0.7287 data_time: 0.0227 memory: 17350 grad_norm: 6.8442 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3942 loss: 1.3942 2022/07/23 17:52:25 - mmengine - INFO - Epoch(train) [55][3260/3757] lr: 1.0000e-03 eta: 1 day, 7:30:08 time: 0.5637 data_time: 0.0242 memory: 17350 grad_norm: 7.3616 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2251 loss: 1.2251 2022/07/23 17:52:40 - mmengine - INFO - Epoch(train) [55][3280/3757] lr: 1.0000e-03 eta: 1 day, 7:29:56 time: 0.7524 data_time: 0.0223 memory: 17350 grad_norm: 6.8064 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1452 loss: 1.1452 2022/07/23 17:52:52 - mmengine - INFO - Epoch(train) [55][3300/3757] lr: 1.0000e-03 eta: 1 day, 7:29:42 time: 0.6139 data_time: 0.0364 memory: 17350 grad_norm: 6.5797 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2604 loss: 1.2604 2022/07/23 17:53:07 - mmengine - INFO - Epoch(train) [55][3320/3757] lr: 1.0000e-03 eta: 1 day, 7:29:29 time: 0.7058 data_time: 0.0222 memory: 17350 grad_norm: 6.8717 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2745 loss: 1.2745 2022/07/23 17:53:19 - mmengine - INFO - Epoch(train) [55][3340/3757] lr: 1.0000e-03 eta: 1 day, 7:29:16 time: 0.6447 data_time: 0.0226 memory: 17350 grad_norm: 6.6887 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9998 loss: 0.9998 2022/07/23 17:53:34 - mmengine - INFO - Epoch(train) [55][3360/3757] lr: 1.0000e-03 eta: 1 day, 7:29:03 time: 0.7169 data_time: 0.0223 memory: 17350 grad_norm: 6.6918 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1647 loss: 1.1647 2022/07/23 17:53:46 - mmengine - INFO - Epoch(train) [55][3380/3757] lr: 1.0000e-03 eta: 1 day, 7:28:49 time: 0.6316 data_time: 0.0241 memory: 17350 grad_norm: 6.9949 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1768 loss: 1.1768 2022/07/23 17:54:01 - mmengine - INFO - Epoch(train) [55][3400/3757] lr: 1.0000e-03 eta: 1 day, 7:28:36 time: 0.7044 data_time: 0.0216 memory: 17350 grad_norm: 6.9084 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4639 loss: 1.4639 2022/07/23 17:54:12 - mmengine - INFO - Epoch(train) [55][3420/3757] lr: 1.0000e-03 eta: 1 day, 7:28:21 time: 0.5754 data_time: 0.0228 memory: 17350 grad_norm: 6.7748 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1808 loss: 1.1808 2022/07/23 17:54:26 - mmengine - INFO - Epoch(train) [55][3440/3757] lr: 1.0000e-03 eta: 1 day, 7:28:09 time: 0.7058 data_time: 0.0226 memory: 17350 grad_norm: 6.6502 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2483 loss: 1.2483 2022/07/23 17:54:37 - mmengine - INFO - Epoch(train) [55][3460/3757] lr: 1.0000e-03 eta: 1 day, 7:27:53 time: 0.5429 data_time: 0.0221 memory: 17350 grad_norm: 6.9320 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4560 loss: 1.4560 2022/07/23 17:54:52 - mmengine - INFO - Epoch(train) [55][3480/3757] lr: 1.0000e-03 eta: 1 day, 7:27:41 time: 0.7216 data_time: 0.0221 memory: 17350 grad_norm: 6.6514 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2087 loss: 1.2087 2022/07/23 17:55:05 - mmengine - INFO - Epoch(train) [55][3500/3757] lr: 1.0000e-03 eta: 1 day, 7:27:27 time: 0.6497 data_time: 0.0239 memory: 17350 grad_norm: 6.8863 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2833 loss: 1.2833 2022/07/23 17:55:19 - mmengine - INFO - Epoch(train) [55][3520/3757] lr: 1.0000e-03 eta: 1 day, 7:27:14 time: 0.7101 data_time: 0.0226 memory: 17350 grad_norm: 6.6578 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9966 loss: 0.9966 2022/07/23 17:55:32 - mmengine - INFO - Epoch(train) [55][3540/3757] lr: 1.0000e-03 eta: 1 day, 7:27:00 time: 0.6439 data_time: 0.0214 memory: 17350 grad_norm: 6.7563 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0494 loss: 1.0494 2022/07/23 17:55:46 - mmengine - INFO - Epoch(train) [55][3560/3757] lr: 1.0000e-03 eta: 1 day, 7:26:48 time: 0.7115 data_time: 0.0218 memory: 17350 grad_norm: 6.8583 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1239 loss: 1.1239 2022/07/23 17:55:59 - mmengine - INFO - Epoch(train) [55][3580/3757] lr: 1.0000e-03 eta: 1 day, 7:26:34 time: 0.6325 data_time: 0.0288 memory: 17350 grad_norm: 6.6940 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2020 loss: 1.2020 2022/07/23 17:56:12 - mmengine - INFO - Epoch(train) [55][3600/3757] lr: 1.0000e-03 eta: 1 day, 7:26:21 time: 0.6902 data_time: 0.0252 memory: 17350 grad_norm: 6.7431 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6139 loss: 1.6139 2022/07/23 17:56:25 - mmengine - INFO - Epoch(train) [55][3620/3757] lr: 1.0000e-03 eta: 1 day, 7:26:06 time: 0.6112 data_time: 0.0219 memory: 17350 grad_norm: 6.8760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2116 loss: 1.2116 2022/07/23 17:56:39 - mmengine - INFO - Epoch(train) [55][3640/3757] lr: 1.0000e-03 eta: 1 day, 7:25:54 time: 0.7272 data_time: 0.0214 memory: 17350 grad_norm: 6.8587 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2526 loss: 1.2526 2022/07/23 17:56:52 - mmengine - INFO - Epoch(train) [55][3660/3757] lr: 1.0000e-03 eta: 1 day, 7:25:40 time: 0.6470 data_time: 0.0230 memory: 17350 grad_norm: 6.9524 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3084 loss: 1.3084 2022/07/23 17:57:06 - mmengine - INFO - Epoch(train) [55][3680/3757] lr: 1.0000e-03 eta: 1 day, 7:25:27 time: 0.6900 data_time: 0.0217 memory: 17350 grad_norm: 6.7593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4528 loss: 1.4528 2022/07/23 17:57:20 - mmengine - INFO - Epoch(train) [55][3700/3757] lr: 1.0000e-03 eta: 1 day, 7:25:14 time: 0.6853 data_time: 0.0230 memory: 17350 grad_norm: 6.6255 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3489 loss: 1.3489 2022/07/23 17:57:33 - mmengine - INFO - Epoch(train) [55][3720/3757] lr: 1.0000e-03 eta: 1 day, 7:25:00 time: 0.6492 data_time: 0.0215 memory: 17350 grad_norm: 6.7783 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3367 loss: 1.3367 2022/07/23 17:57:45 - mmengine - INFO - Epoch(train) [55][3740/3757] lr: 1.0000e-03 eta: 1 day, 7:24:46 time: 0.6102 data_time: 0.0657 memory: 17350 grad_norm: 6.6889 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1280 loss: 1.1280 2022/07/23 17:57:54 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 17:57:54 - mmengine - INFO - Epoch(train) [55][3757/3757] lr: 1.0000e-03 eta: 1 day, 7:24:46 time: 0.4985 data_time: 0.0218 memory: 17350 grad_norm: 6.6688 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.2875 loss: 1.2875 2022/07/23 17:57:54 - mmengine - INFO - Saving checkpoint at 55 epochs 2022/07/23 17:58:13 - mmengine - INFO - Epoch(val) [55][20/310] eta: 0:03:59 time: 0.8271 data_time: 0.7119 memory: 3406 2022/07/23 17:58:24 - mmengine - INFO - Epoch(val) [55][40/310] eta: 0:02:22 time: 0.5287 data_time: 0.4163 memory: 3406 2022/07/23 17:58:40 - mmengine - INFO - Epoch(val) [55][60/310] eta: 0:03:14 time: 0.7797 data_time: 0.6641 memory: 3406 2022/07/23 17:58:51 - mmengine - INFO - Epoch(val) [55][80/310] eta: 0:02:08 time: 0.5597 data_time: 0.4464 memory: 3406 2022/07/23 17:59:06 - mmengine - INFO - Epoch(val) [55][100/310] eta: 0:02:37 time: 0.7519 data_time: 0.6346 memory: 3406 2022/07/23 17:59:17 - mmengine - INFO - Epoch(val) [55][120/310] eta: 0:01:45 time: 0.5568 data_time: 0.4445 memory: 3406 2022/07/23 17:59:32 - mmengine - INFO - Epoch(val) [55][140/310] eta: 0:02:05 time: 0.7411 data_time: 0.6265 memory: 3406 2022/07/23 17:59:44 - mmengine - INFO - Epoch(val) [55][160/310] eta: 0:01:32 time: 0.6197 data_time: 0.5044 memory: 3406 2022/07/23 17:59:58 - mmengine - INFO - Epoch(val) [55][180/310] eta: 0:01:28 time: 0.6809 data_time: 0.5679 memory: 3406 2022/07/23 18:00:11 - mmengine - INFO - Epoch(val) [55][200/310] eta: 0:01:14 time: 0.6800 data_time: 0.5524 memory: 3406 2022/07/23 18:00:25 - mmengine - INFO - Epoch(val) [55][220/310] eta: 0:00:58 time: 0.6543 data_time: 0.5434 memory: 3406 2022/07/23 18:00:38 - mmengine - INFO - Epoch(val) [55][240/310] eta: 0:00:45 time: 0.6487 data_time: 0.5353 memory: 3406 2022/07/23 18:00:51 - mmengine - INFO - Epoch(val) [55][260/310] eta: 0:00:33 time: 0.6767 data_time: 0.5640 memory: 3406 2022/07/23 18:01:04 - mmengine - INFO - Epoch(val) [55][280/310] eta: 0:00:18 time: 0.6312 data_time: 0.5200 memory: 3406 2022/07/23 18:01:17 - mmengine - INFO - Epoch(val) [55][300/310] eta: 0:00:06 time: 0.6832 data_time: 0.5698 memory: 3406 2022/07/23 18:01:22 - mmengine - INFO - Epoch(val) [55][310/310] acc/top1: 0.6766 acc/top5: 0.8737 acc/mean1: 0.6765 2022/07/23 18:01:22 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_54.pth is removed 2022/07/23 18:01:24 - mmengine - INFO - The best checkpoint with 0.6766 acc/top1 at 56 epoch is saved to best_acc/top1_epoch_56.pth. 2022/07/23 18:01:41 - mmengine - INFO - Epoch(train) [56][20/3757] lr: 1.0000e-03 eta: 1 day, 7:24:15 time: 0.8379 data_time: 0.4553 memory: 17350 grad_norm: 6.9234 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2009 loss: 1.2009 2022/07/23 18:01:54 - mmengine - INFO - Epoch(train) [56][40/3757] lr: 1.0000e-03 eta: 1 day, 7:24:01 time: 0.6338 data_time: 0.2205 memory: 17350 grad_norm: 6.5988 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2396 loss: 1.2396 2022/07/23 18:02:09 - mmengine - INFO - Epoch(train) [56][60/3757] lr: 1.0000e-03 eta: 1 day, 7:23:49 time: 0.7583 data_time: 0.1126 memory: 17350 grad_norm: 6.7669 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5101 loss: 1.5101 2022/07/23 18:02:21 - mmengine - INFO - Epoch(train) [56][80/3757] lr: 1.0000e-03 eta: 1 day, 7:23:35 time: 0.6009 data_time: 0.2246 memory: 17350 grad_norm: 6.9371 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2870 loss: 1.2870 2022/07/23 18:02:35 - mmengine - INFO - Epoch(train) [56][100/3757] lr: 1.0000e-03 eta: 1 day, 7:23:22 time: 0.7202 data_time: 0.2657 memory: 17350 grad_norm: 6.6059 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0871 loss: 1.0871 2022/07/23 18:02:48 - mmengine - INFO - Epoch(train) [56][120/3757] lr: 1.0000e-03 eta: 1 day, 7:23:08 time: 0.6359 data_time: 0.0871 memory: 17350 grad_norm: 6.3659 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0498 loss: 1.0498 2022/07/23 18:03:02 - mmengine - INFO - Epoch(train) [56][140/3757] lr: 1.0000e-03 eta: 1 day, 7:22:55 time: 0.7083 data_time: 0.0974 memory: 17350 grad_norm: 6.7153 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0182 loss: 1.0182 2022/07/23 18:03:14 - mmengine - INFO - Epoch(train) [56][160/3757] lr: 1.0000e-03 eta: 1 day, 7:22:40 time: 0.5688 data_time: 0.0233 memory: 17350 grad_norm: 6.5433 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0514 loss: 1.0514 2022/07/23 18:03:28 - mmengine - INFO - Epoch(train) [56][180/3757] lr: 1.0000e-03 eta: 1 day, 7:22:27 time: 0.6930 data_time: 0.0224 memory: 17350 grad_norm: 6.8139 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4296 loss: 1.4296 2022/07/23 18:03:40 - mmengine - INFO - Epoch(train) [56][200/3757] lr: 1.0000e-03 eta: 1 day, 7:22:13 time: 0.6127 data_time: 0.0227 memory: 17350 grad_norm: 6.4919 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2506 loss: 1.2506 2022/07/23 18:03:55 - mmengine - INFO - Epoch(train) [56][220/3757] lr: 1.0000e-03 eta: 1 day, 7:22:01 time: 0.7576 data_time: 0.0217 memory: 17350 grad_norm: 6.8618 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2443 loss: 1.2443 2022/07/23 18:04:07 - mmengine - INFO - Epoch(train) [56][240/3757] lr: 1.0000e-03 eta: 1 day, 7:21:47 time: 0.6003 data_time: 0.0261 memory: 17350 grad_norm: 6.7945 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2536 loss: 1.2536 2022/07/23 18:04:22 - mmengine - INFO - Epoch(train) [56][260/3757] lr: 1.0000e-03 eta: 1 day, 7:21:34 time: 0.7387 data_time: 0.0245 memory: 17350 grad_norm: 6.5130 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2241 loss: 1.2241 2022/07/23 18:04:34 - mmengine - INFO - Epoch(train) [56][280/3757] lr: 1.0000e-03 eta: 1 day, 7:21:20 time: 0.6215 data_time: 0.0217 memory: 17350 grad_norm: 6.9581 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3720 loss: 1.3720 2022/07/23 18:04:49 - mmengine - INFO - Epoch(train) [56][300/3757] lr: 1.0000e-03 eta: 1 day, 7:21:08 time: 0.7319 data_time: 0.0226 memory: 17350 grad_norm: 6.7598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4885 loss: 1.4885 2022/07/23 18:05:02 - mmengine - INFO - Epoch(train) [56][320/3757] lr: 1.0000e-03 eta: 1 day, 7:20:54 time: 0.6346 data_time: 0.0253 memory: 17350 grad_norm: 6.7135 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0354 loss: 1.0354 2022/07/23 18:05:15 - mmengine - INFO - Epoch(train) [56][340/3757] lr: 1.0000e-03 eta: 1 day, 7:20:41 time: 0.6879 data_time: 0.0264 memory: 17350 grad_norm: 6.5835 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2386 loss: 1.2386 2022/07/23 18:05:28 - mmengine - INFO - Epoch(train) [56][360/3757] lr: 1.0000e-03 eta: 1 day, 7:20:27 time: 0.6279 data_time: 0.0258 memory: 17350 grad_norm: 6.7848 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3499 loss: 1.3499 2022/07/23 18:05:32 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 18:05:43 - mmengine - INFO - Epoch(train) [56][380/3757] lr: 1.0000e-03 eta: 1 day, 7:20:15 time: 0.7416 data_time: 0.0221 memory: 17350 grad_norm: 6.7048 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1353 loss: 1.1353 2022/07/23 18:05:55 - mmengine - INFO - Epoch(train) [56][400/3757] lr: 1.0000e-03 eta: 1 day, 7:20:00 time: 0.6048 data_time: 0.0245 memory: 17350 grad_norm: 6.7321 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3491 loss: 1.3491 2022/07/23 18:06:10 - mmengine - INFO - Epoch(train) [56][420/3757] lr: 1.0000e-03 eta: 1 day, 7:19:48 time: 0.7436 data_time: 0.0215 memory: 17350 grad_norm: 6.9761 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4466 loss: 1.4466 2022/07/23 18:06:22 - mmengine - INFO - Epoch(train) [56][440/3757] lr: 1.0000e-03 eta: 1 day, 7:19:33 time: 0.5904 data_time: 0.0238 memory: 17350 grad_norm: 6.6306 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2161 loss: 1.2161 2022/07/23 18:06:36 - mmengine - INFO - Epoch(train) [56][460/3757] lr: 1.0000e-03 eta: 1 day, 7:19:21 time: 0.7189 data_time: 0.0207 memory: 17350 grad_norm: 6.8200 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3589 loss: 1.3589 2022/07/23 18:06:47 - mmengine - INFO - Epoch(train) [56][480/3757] lr: 1.0000e-03 eta: 1 day, 7:19:06 time: 0.5638 data_time: 0.0230 memory: 17350 grad_norm: 6.6475 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0445 loss: 1.0445 2022/07/23 18:07:01 - mmengine - INFO - Epoch(train) [56][500/3757] lr: 1.0000e-03 eta: 1 day, 7:18:53 time: 0.6781 data_time: 0.0219 memory: 17350 grad_norm: 6.8222 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0944 loss: 1.0944 2022/07/23 18:07:13 - mmengine - INFO - Epoch(train) [56][520/3757] lr: 1.0000e-03 eta: 1 day, 7:18:38 time: 0.6195 data_time: 0.0263 memory: 17350 grad_norm: 7.0419 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4840 loss: 1.4840 2022/07/23 18:07:27 - mmengine - INFO - Epoch(train) [56][540/3757] lr: 1.0000e-03 eta: 1 day, 7:18:26 time: 0.7079 data_time: 0.0232 memory: 17350 grad_norm: 6.9730 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3577 loss: 1.3577 2022/07/23 18:07:39 - mmengine - INFO - Epoch(train) [56][560/3757] lr: 1.0000e-03 eta: 1 day, 7:18:11 time: 0.5763 data_time: 0.0181 memory: 17350 grad_norm: 6.8698 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1508 loss: 1.1508 2022/07/23 18:07:53 - mmengine - INFO - Epoch(train) [56][580/3757] lr: 1.0000e-03 eta: 1 day, 7:17:58 time: 0.7158 data_time: 0.0203 memory: 17350 grad_norm: 6.7662 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9850 loss: 0.9850 2022/07/23 18:08:07 - mmengine - INFO - Epoch(train) [56][600/3757] lr: 1.0000e-03 eta: 1 day, 7:17:45 time: 0.6795 data_time: 0.0225 memory: 17350 grad_norm: 6.7952 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2925 loss: 1.2925 2022/07/23 18:08:21 - mmengine - INFO - Epoch(train) [56][620/3757] lr: 1.0000e-03 eta: 1 day, 7:17:32 time: 0.6935 data_time: 0.0224 memory: 17350 grad_norm: 6.8882 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9707 loss: 0.9707 2022/07/23 18:08:34 - mmengine - INFO - Epoch(train) [56][640/3757] lr: 1.0000e-03 eta: 1 day, 7:17:18 time: 0.6613 data_time: 0.0236 memory: 17350 grad_norm: 6.7794 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3173 loss: 1.3173 2022/07/23 18:08:46 - mmengine - INFO - Epoch(train) [56][660/3757] lr: 1.0000e-03 eta: 1 day, 7:17:04 time: 0.6088 data_time: 0.0226 memory: 17350 grad_norm: 7.0743 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3046 loss: 1.3046 2022/07/23 18:09:01 - mmengine - INFO - Epoch(train) [56][680/3757] lr: 1.0000e-03 eta: 1 day, 7:16:52 time: 0.7251 data_time: 0.0218 memory: 17350 grad_norm: 6.9002 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2989 loss: 1.2989 2022/07/23 18:09:13 - mmengine - INFO - Epoch(train) [56][700/3757] lr: 1.0000e-03 eta: 1 day, 7:16:37 time: 0.6103 data_time: 0.0220 memory: 17350 grad_norm: 6.8980 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2969 loss: 1.2969 2022/07/23 18:09:28 - mmengine - INFO - Epoch(train) [56][720/3757] lr: 1.0000e-03 eta: 1 day, 7:16:25 time: 0.7392 data_time: 0.0357 memory: 17350 grad_norm: 7.1147 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3580 loss: 1.3580 2022/07/23 18:09:40 - mmengine - INFO - Epoch(train) [56][740/3757] lr: 1.0000e-03 eta: 1 day, 7:16:11 time: 0.6261 data_time: 0.0465 memory: 17350 grad_norm: 6.7216 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1706 loss: 1.1706 2022/07/23 18:09:55 - mmengine - INFO - Epoch(train) [56][760/3757] lr: 1.0000e-03 eta: 1 day, 7:15:58 time: 0.7170 data_time: 0.1067 memory: 17350 grad_norm: 6.9196 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3769 loss: 1.3769 2022/07/23 18:10:07 - mmengine - INFO - Epoch(train) [56][780/3757] lr: 1.0000e-03 eta: 1 day, 7:15:44 time: 0.6140 data_time: 0.0470 memory: 17350 grad_norm: 6.9071 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2229 loss: 1.2229 2022/07/23 18:10:21 - mmengine - INFO - Epoch(train) [56][800/3757] lr: 1.0000e-03 eta: 1 day, 7:15:31 time: 0.6993 data_time: 0.0559 memory: 17350 grad_norm: 6.7736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3391 loss: 1.3391 2022/07/23 18:10:34 - mmengine - INFO - Epoch(train) [56][820/3757] lr: 1.0000e-03 eta: 1 day, 7:15:18 time: 0.6608 data_time: 0.0642 memory: 17350 grad_norm: 6.8239 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1499 loss: 1.1499 2022/07/23 18:10:49 - mmengine - INFO - Epoch(train) [56][840/3757] lr: 1.0000e-03 eta: 1 day, 7:15:06 time: 0.7480 data_time: 0.0248 memory: 17350 grad_norm: 6.8082 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3980 loss: 1.3980 2022/07/23 18:11:01 - mmengine - INFO - Epoch(train) [56][860/3757] lr: 1.0000e-03 eta: 1 day, 7:14:51 time: 0.5895 data_time: 0.0239 memory: 17350 grad_norm: 6.8402 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2573 loss: 1.2573 2022/07/23 18:11:16 - mmengine - INFO - Epoch(train) [56][880/3757] lr: 1.0000e-03 eta: 1 day, 7:14:39 time: 0.7346 data_time: 0.0232 memory: 17350 grad_norm: 6.7422 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2585 loss: 1.2585 2022/07/23 18:11:28 - mmengine - INFO - Epoch(train) [56][900/3757] lr: 1.0000e-03 eta: 1 day, 7:14:25 time: 0.6303 data_time: 0.0236 memory: 17350 grad_norm: 6.6712 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1810 loss: 1.1810 2022/07/23 18:11:43 - mmengine - INFO - Epoch(train) [56][920/3757] lr: 1.0000e-03 eta: 1 day, 7:14:13 time: 0.7448 data_time: 0.0241 memory: 17350 grad_norm: 6.6404 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9861 loss: 0.9861 2022/07/23 18:11:55 - mmengine - INFO - Epoch(train) [56][940/3757] lr: 1.0000e-03 eta: 1 day, 7:13:58 time: 0.5879 data_time: 0.0247 memory: 17350 grad_norm: 6.7994 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0925 loss: 1.0925 2022/07/23 18:12:10 - mmengine - INFO - Epoch(train) [56][960/3757] lr: 1.0000e-03 eta: 1 day, 7:13:46 time: 0.7398 data_time: 0.0265 memory: 17350 grad_norm: 6.8292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1071 loss: 1.1071 2022/07/23 18:12:22 - mmengine - INFO - Epoch(train) [56][980/3757] lr: 1.0000e-03 eta: 1 day, 7:13:31 time: 0.6047 data_time: 0.0215 memory: 17350 grad_norm: 6.8731 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2259 loss: 1.2259 2022/07/23 18:12:36 - mmengine - INFO - Epoch(train) [56][1000/3757] lr: 1.0000e-03 eta: 1 day, 7:13:19 time: 0.7300 data_time: 0.0271 memory: 17350 grad_norm: 6.8312 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1417 loss: 1.1417 2022/07/23 18:12:49 - mmengine - INFO - Epoch(train) [56][1020/3757] lr: 1.0000e-03 eta: 1 day, 7:13:05 time: 0.6450 data_time: 0.0244 memory: 17350 grad_norm: 6.8823 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1478 loss: 1.1478 2022/07/23 18:13:04 - mmengine - INFO - Epoch(train) [56][1040/3757] lr: 1.0000e-03 eta: 1 day, 7:12:52 time: 0.7123 data_time: 0.0240 memory: 17350 grad_norm: 6.9398 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1685 loss: 1.1685 2022/07/23 18:13:15 - mmengine - INFO - Epoch(train) [56][1060/3757] lr: 1.0000e-03 eta: 1 day, 7:12:38 time: 0.5883 data_time: 0.0210 memory: 17350 grad_norm: 6.9547 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2649 loss: 1.2649 2022/07/23 18:13:30 - mmengine - INFO - Epoch(train) [56][1080/3757] lr: 1.0000e-03 eta: 1 day, 7:12:25 time: 0.7084 data_time: 0.0267 memory: 17350 grad_norm: 6.9298 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4440 loss: 1.4440 2022/07/23 18:13:41 - mmengine - INFO - Epoch(train) [56][1100/3757] lr: 1.0000e-03 eta: 1 day, 7:12:10 time: 0.5866 data_time: 0.0234 memory: 17350 grad_norm: 6.7542 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2309 loss: 1.2309 2022/07/23 18:13:56 - mmengine - INFO - Epoch(train) [56][1120/3757] lr: 1.0000e-03 eta: 1 day, 7:11:58 time: 0.7140 data_time: 0.0237 memory: 17350 grad_norm: 6.7710 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1220 loss: 1.1220 2022/07/23 18:14:08 - mmengine - INFO - Epoch(train) [56][1140/3757] lr: 1.0000e-03 eta: 1 day, 7:11:43 time: 0.6009 data_time: 0.0228 memory: 17350 grad_norm: 6.7885 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1890 loss: 1.1890 2022/07/23 18:14:23 - mmengine - INFO - Epoch(train) [56][1160/3757] lr: 1.0000e-03 eta: 1 day, 7:11:31 time: 0.7485 data_time: 0.0220 memory: 17350 grad_norm: 6.9221 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3834 loss: 1.3834 2022/07/23 18:14:35 - mmengine - INFO - Epoch(train) [56][1180/3757] lr: 1.0000e-03 eta: 1 day, 7:11:17 time: 0.6113 data_time: 0.0231 memory: 17350 grad_norm: 6.8867 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3203 loss: 1.3203 2022/07/23 18:14:49 - mmengine - INFO - Epoch(train) [56][1200/3757] lr: 1.0000e-03 eta: 1 day, 7:11:04 time: 0.6963 data_time: 0.0223 memory: 17350 grad_norm: 6.7265 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3114 loss: 1.3114 2022/07/23 18:15:01 - mmengine - INFO - Epoch(train) [56][1220/3757] lr: 1.0000e-03 eta: 1 day, 7:10:50 time: 0.6122 data_time: 0.0223 memory: 17350 grad_norm: 6.9134 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5398 loss: 1.5398 2022/07/23 18:15:16 - mmengine - INFO - Epoch(train) [56][1240/3757] lr: 1.0000e-03 eta: 1 day, 7:10:38 time: 0.7523 data_time: 0.0332 memory: 17350 grad_norm: 6.9844 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4173 loss: 1.4173 2022/07/23 18:15:29 - mmengine - INFO - Epoch(train) [56][1260/3757] lr: 1.0000e-03 eta: 1 day, 7:10:24 time: 0.6302 data_time: 0.0231 memory: 17350 grad_norm: 6.7182 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3110 loss: 1.3110 2022/07/23 18:15:42 - mmengine - INFO - Epoch(train) [56][1280/3757] lr: 1.0000e-03 eta: 1 day, 7:10:10 time: 0.6839 data_time: 0.0219 memory: 17350 grad_norm: 6.8970 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4010 loss: 1.4010 2022/07/23 18:15:55 - mmengine - INFO - Epoch(train) [56][1300/3757] lr: 1.0000e-03 eta: 1 day, 7:09:56 time: 0.6262 data_time: 0.0163 memory: 17350 grad_norm: 6.7607 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3218 loss: 1.3218 2022/07/23 18:16:09 - mmengine - INFO - Epoch(train) [56][1320/3757] lr: 1.0000e-03 eta: 1 day, 7:09:44 time: 0.7037 data_time: 0.0241 memory: 17350 grad_norm: 6.8017 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0993 loss: 1.0993 2022/07/23 18:16:21 - mmengine - INFO - Epoch(train) [56][1340/3757] lr: 1.0000e-03 eta: 1 day, 7:09:29 time: 0.6042 data_time: 0.0219 memory: 17350 grad_norm: 6.8294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4686 loss: 1.4686 2022/07/23 18:16:36 - mmengine - INFO - Epoch(train) [56][1360/3757] lr: 1.0000e-03 eta: 1 day, 7:09:17 time: 0.7646 data_time: 0.0263 memory: 17350 grad_norm: 7.0081 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1546 loss: 1.1546 2022/07/23 18:16:38 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 18:16:50 - mmengine - INFO - Epoch(train) [56][1380/3757] lr: 1.0000e-03 eta: 1 day, 7:09:04 time: 0.6798 data_time: 0.0241 memory: 17350 grad_norm: 6.8423 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1831 loss: 1.1831 2022/07/23 18:17:05 - mmengine - INFO - Epoch(train) [56][1400/3757] lr: 1.0000e-03 eta: 1 day, 7:08:52 time: 0.7405 data_time: 0.0255 memory: 17350 grad_norm: 6.5302 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2639 loss: 1.2639 2022/07/23 18:17:15 - mmengine - INFO - Epoch(train) [56][1420/3757] lr: 1.0000e-03 eta: 1 day, 7:08:36 time: 0.5152 data_time: 0.0228 memory: 17350 grad_norm: 6.6476 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2781 loss: 1.2781 2022/07/23 18:17:30 - mmengine - INFO - Epoch(train) [56][1440/3757] lr: 1.0000e-03 eta: 1 day, 7:08:24 time: 0.7262 data_time: 0.0212 memory: 17350 grad_norm: 6.9052 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2683 loss: 1.2683 2022/07/23 18:17:42 - mmengine - INFO - Epoch(train) [56][1460/3757] lr: 1.0000e-03 eta: 1 day, 7:08:09 time: 0.5869 data_time: 0.0219 memory: 17350 grad_norm: 6.4232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0802 loss: 1.0802 2022/07/23 18:17:56 - mmengine - INFO - Epoch(train) [56][1480/3757] lr: 1.0000e-03 eta: 1 day, 7:07:56 time: 0.7243 data_time: 0.0232 memory: 17350 grad_norm: 6.6535 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3292 loss: 1.3292 2022/07/23 18:18:09 - mmengine - INFO - Epoch(train) [56][1500/3757] lr: 1.0000e-03 eta: 1 day, 7:07:43 time: 0.6624 data_time: 0.0234 memory: 17350 grad_norm: 6.8482 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3483 loss: 1.3483 2022/07/23 18:18:22 - mmengine - INFO - Epoch(train) [56][1520/3757] lr: 1.0000e-03 eta: 1 day, 7:07:29 time: 0.6604 data_time: 0.0232 memory: 17350 grad_norm: 6.9637 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2046 loss: 1.2046 2022/07/23 18:18:34 - mmengine - INFO - Epoch(train) [56][1540/3757] lr: 1.0000e-03 eta: 1 day, 7:07:14 time: 0.5686 data_time: 0.0241 memory: 17350 grad_norm: 6.7336 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6220 loss: 1.6220 2022/07/23 18:18:49 - mmengine - INFO - Epoch(train) [56][1560/3757] lr: 1.0000e-03 eta: 1 day, 7:07:02 time: 0.7365 data_time: 0.0219 memory: 17350 grad_norm: 7.1399 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1922 loss: 1.1922 2022/07/23 18:19:02 - mmengine - INFO - Epoch(train) [56][1580/3757] lr: 1.0000e-03 eta: 1 day, 7:06:48 time: 0.6475 data_time: 0.0248 memory: 17350 grad_norm: 6.7431 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1092 loss: 1.1092 2022/07/23 18:19:15 - mmengine - INFO - Epoch(train) [56][1600/3757] lr: 1.0000e-03 eta: 1 day, 7:06:35 time: 0.6667 data_time: 0.0253 memory: 17350 grad_norm: 6.8135 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1571 loss: 1.1571 2022/07/23 18:19:28 - mmengine - INFO - Epoch(train) [56][1620/3757] lr: 1.0000e-03 eta: 1 day, 7:06:21 time: 0.6400 data_time: 0.0214 memory: 17350 grad_norm: 6.8979 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3461 loss: 1.3461 2022/07/23 18:19:42 - mmengine - INFO - Epoch(train) [56][1640/3757] lr: 1.0000e-03 eta: 1 day, 7:06:09 time: 0.7099 data_time: 0.0252 memory: 17350 grad_norm: 6.9412 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2983 loss: 1.2983 2022/07/23 18:19:55 - mmengine - INFO - Epoch(train) [56][1660/3757] lr: 1.0000e-03 eta: 1 day, 7:05:55 time: 0.6340 data_time: 0.0234 memory: 17350 grad_norm: 6.7012 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9360 loss: 0.9360 2022/07/23 18:20:10 - mmengine - INFO - Epoch(train) [56][1680/3757] lr: 1.0000e-03 eta: 1 day, 7:05:42 time: 0.7473 data_time: 0.0234 memory: 17350 grad_norm: 6.6887 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0075 loss: 1.0075 2022/07/23 18:20:21 - mmengine - INFO - Epoch(train) [56][1700/3757] lr: 1.0000e-03 eta: 1 day, 7:05:28 time: 0.5909 data_time: 0.0252 memory: 17350 grad_norm: 6.6014 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3031 loss: 1.3031 2022/07/23 18:20:36 - mmengine - INFO - Epoch(train) [56][1720/3757] lr: 1.0000e-03 eta: 1 day, 7:05:15 time: 0.7189 data_time: 0.0232 memory: 17350 grad_norm: 6.7584 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1231 loss: 1.1231 2022/07/23 18:20:49 - mmengine - INFO - Epoch(train) [56][1740/3757] lr: 1.0000e-03 eta: 1 day, 7:05:01 time: 0.6351 data_time: 0.0229 memory: 17350 grad_norm: 6.8951 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2293 loss: 1.2293 2022/07/23 18:21:02 - mmengine - INFO - Epoch(train) [56][1760/3757] lr: 1.0000e-03 eta: 1 day, 7:04:48 time: 0.6804 data_time: 0.0241 memory: 17350 grad_norm: 6.6510 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9639 loss: 0.9639 2022/07/23 18:21:15 - mmengine - INFO - Epoch(train) [56][1780/3757] lr: 1.0000e-03 eta: 1 day, 7:04:34 time: 0.6376 data_time: 0.0221 memory: 17350 grad_norm: 6.7080 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3626 loss: 1.3626 2022/07/23 18:21:29 - mmengine - INFO - Epoch(train) [56][1800/3757] lr: 1.0000e-03 eta: 1 day, 7:04:22 time: 0.7134 data_time: 0.0222 memory: 17350 grad_norm: 6.7505 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1159 loss: 1.1159 2022/07/23 18:21:42 - mmengine - INFO - Epoch(train) [56][1820/3757] lr: 1.0000e-03 eta: 1 day, 7:04:08 time: 0.6410 data_time: 0.0245 memory: 17350 grad_norm: 6.6906 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2185 loss: 1.2185 2022/07/23 18:21:55 - mmengine - INFO - Epoch(train) [56][1840/3757] lr: 1.0000e-03 eta: 1 day, 7:03:54 time: 0.6631 data_time: 0.0225 memory: 17350 grad_norm: 6.9018 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2136 loss: 1.2136 2022/07/23 18:22:09 - mmengine - INFO - Epoch(train) [56][1860/3757] lr: 1.0000e-03 eta: 1 day, 7:03:41 time: 0.6903 data_time: 0.0205 memory: 17350 grad_norm: 6.8192 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3282 loss: 1.3282 2022/07/23 18:22:22 - mmengine - INFO - Epoch(train) [56][1880/3757] lr: 1.0000e-03 eta: 1 day, 7:03:28 time: 0.6444 data_time: 0.0229 memory: 17350 grad_norm: 6.8242 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3459 loss: 1.3459 2022/07/23 18:22:36 - mmengine - INFO - Epoch(train) [56][1900/3757] lr: 1.0000e-03 eta: 1 day, 7:03:15 time: 0.7078 data_time: 0.0222 memory: 17350 grad_norm: 7.1671 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1768 loss: 1.1768 2022/07/23 18:22:47 - mmengine - INFO - Epoch(train) [56][1920/3757] lr: 1.0000e-03 eta: 1 day, 7:03:00 time: 0.5626 data_time: 0.0227 memory: 17350 grad_norm: 7.0309 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2240 loss: 1.2240 2022/07/23 18:23:02 - mmengine - INFO - Epoch(train) [56][1940/3757] lr: 1.0000e-03 eta: 1 day, 7:02:47 time: 0.7322 data_time: 0.0224 memory: 17350 grad_norm: 6.6845 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1511 loss: 1.1511 2022/07/23 18:23:15 - mmengine - INFO - Epoch(train) [56][1960/3757] lr: 1.0000e-03 eta: 1 day, 7:02:33 time: 0.6339 data_time: 0.0239 memory: 17350 grad_norm: 6.8699 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9414 loss: 0.9414 2022/07/23 18:23:29 - mmengine - INFO - Epoch(train) [56][1980/3757] lr: 1.0000e-03 eta: 1 day, 7:02:21 time: 0.7282 data_time: 0.0210 memory: 17350 grad_norm: 6.9211 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3058 loss: 1.3058 2022/07/23 18:23:40 - mmengine - INFO - Epoch(train) [56][2000/3757] lr: 1.0000e-03 eta: 1 day, 7:02:06 time: 0.5526 data_time: 0.0225 memory: 17350 grad_norm: 6.6394 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1989 loss: 1.1989 2022/07/23 18:23:55 - mmengine - INFO - Epoch(train) [56][2020/3757] lr: 1.0000e-03 eta: 1 day, 7:01:53 time: 0.7092 data_time: 0.0211 memory: 17350 grad_norm: 6.9014 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1586 loss: 1.1586 2022/07/23 18:24:06 - mmengine - INFO - Epoch(train) [56][2040/3757] lr: 1.0000e-03 eta: 1 day, 7:01:38 time: 0.5806 data_time: 0.0459 memory: 17350 grad_norm: 6.7162 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5604 loss: 1.5604 2022/07/23 18:24:20 - mmengine - INFO - Epoch(train) [56][2060/3757] lr: 1.0000e-03 eta: 1 day, 7:01:25 time: 0.6829 data_time: 0.0215 memory: 17350 grad_norm: 6.8321 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1828 loss: 1.1828 2022/07/23 18:24:34 - mmengine - INFO - Epoch(train) [56][2080/3757] lr: 1.0000e-03 eta: 1 day, 7:01:12 time: 0.6951 data_time: 0.0226 memory: 17350 grad_norm: 7.0877 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2978 loss: 1.2978 2022/07/23 18:24:48 - mmengine - INFO - Epoch(train) [56][2100/3757] lr: 1.0000e-03 eta: 1 day, 7:00:59 time: 0.7117 data_time: 0.0234 memory: 17350 grad_norm: 6.8413 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2339 loss: 1.2339 2022/07/23 18:25:01 - mmengine - INFO - Epoch(train) [56][2120/3757] lr: 1.0000e-03 eta: 1 day, 7:00:46 time: 0.6392 data_time: 0.0229 memory: 17350 grad_norm: 7.0495 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4620 loss: 1.4620 2022/07/23 18:25:14 - mmengine - INFO - Epoch(train) [56][2140/3757] lr: 1.0000e-03 eta: 1 day, 7:00:32 time: 0.6770 data_time: 0.0243 memory: 17350 grad_norm: 6.9298 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3254 loss: 1.3254 2022/07/23 18:25:28 - mmengine - INFO - Epoch(train) [56][2160/3757] lr: 1.0000e-03 eta: 1 day, 7:00:19 time: 0.6780 data_time: 0.0220 memory: 17350 grad_norm: 6.7344 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4505 loss: 1.4505 2022/07/23 18:25:41 - mmengine - INFO - Epoch(train) [56][2180/3757] lr: 1.0000e-03 eta: 1 day, 7:00:05 time: 0.6328 data_time: 0.0233 memory: 17350 grad_norm: 7.0841 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4486 loss: 1.4486 2022/07/23 18:25:55 - mmengine - INFO - Epoch(train) [56][2200/3757] lr: 1.0000e-03 eta: 1 day, 6:59:52 time: 0.6910 data_time: 0.0217 memory: 17350 grad_norm: 7.2630 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3493 loss: 1.3493 2022/07/23 18:26:07 - mmengine - INFO - Epoch(train) [56][2220/3757] lr: 1.0000e-03 eta: 1 day, 6:59:38 time: 0.6378 data_time: 0.0238 memory: 17350 grad_norm: 6.9040 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3492 loss: 1.3492 2022/07/23 18:26:21 - mmengine - INFO - Epoch(train) [56][2240/3757] lr: 1.0000e-03 eta: 1 day, 6:59:25 time: 0.6926 data_time: 0.0244 memory: 17350 grad_norm: 6.9660 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1473 loss: 1.1473 2022/07/23 18:26:34 - mmengine - INFO - Epoch(train) [56][2260/3757] lr: 1.0000e-03 eta: 1 day, 6:59:11 time: 0.6387 data_time: 0.0219 memory: 17350 grad_norm: 6.9635 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2253 loss: 1.2253 2022/07/23 18:26:47 - mmengine - INFO - Epoch(train) [56][2280/3757] lr: 1.0000e-03 eta: 1 day, 6:58:58 time: 0.6731 data_time: 0.0234 memory: 17350 grad_norm: 7.0591 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3631 loss: 1.3631 2022/07/23 18:27:00 - mmengine - INFO - Epoch(train) [56][2300/3757] lr: 1.0000e-03 eta: 1 day, 6:58:44 time: 0.6293 data_time: 0.0257 memory: 17350 grad_norm: 6.9769 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3854 loss: 1.3854 2022/07/23 18:27:14 - mmengine - INFO - Epoch(train) [56][2320/3757] lr: 1.0000e-03 eta: 1 day, 6:58:31 time: 0.6753 data_time: 0.0333 memory: 17350 grad_norm: 6.9751 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4435 loss: 1.4435 2022/07/23 18:27:27 - mmengine - INFO - Epoch(train) [56][2340/3757] lr: 1.0000e-03 eta: 1 day, 6:58:17 time: 0.6644 data_time: 0.0270 memory: 17350 grad_norm: 6.6515 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3805 loss: 1.3805 2022/07/23 18:27:40 - mmengine - INFO - Epoch(train) [56][2360/3757] lr: 1.0000e-03 eta: 1 day, 6:58:04 time: 0.6682 data_time: 0.0224 memory: 17350 grad_norm: 6.6026 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2475 loss: 1.2475 2022/07/23 18:27:44 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 18:27:55 - mmengine - INFO - Epoch(train) [56][2380/3757] lr: 1.0000e-03 eta: 1 day, 6:57:52 time: 0.7361 data_time: 0.0340 memory: 17350 grad_norm: 6.8930 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1170 loss: 1.1170 2022/07/23 18:28:06 - mmengine - INFO - Epoch(train) [56][2400/3757] lr: 1.0000e-03 eta: 1 day, 6:57:36 time: 0.5449 data_time: 0.0236 memory: 17350 grad_norm: 6.5550 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2180 loss: 1.2180 2022/07/23 18:28:21 - mmengine - INFO - Epoch(train) [56][2420/3757] lr: 1.0000e-03 eta: 1 day, 6:57:24 time: 0.7446 data_time: 0.0237 memory: 17350 grad_norm: 6.8518 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1408 loss: 1.1408 2022/07/23 18:28:32 - mmengine - INFO - Epoch(train) [56][2440/3757] lr: 1.0000e-03 eta: 1 day, 6:57:09 time: 0.5708 data_time: 0.0243 memory: 17350 grad_norm: 6.7471 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2072 loss: 1.2072 2022/07/23 18:28:47 - mmengine - INFO - Epoch(train) [56][2460/3757] lr: 1.0000e-03 eta: 1 day, 6:56:57 time: 0.7540 data_time: 0.0226 memory: 17350 grad_norm: 6.7982 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2964 loss: 1.2964 2022/07/23 18:28:59 - mmengine - INFO - Epoch(train) [56][2480/3757] lr: 1.0000e-03 eta: 1 day, 6:56:43 time: 0.6065 data_time: 0.0230 memory: 17350 grad_norm: 6.9296 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2939 loss: 1.2939 2022/07/23 18:29:14 - mmengine - INFO - Epoch(train) [56][2500/3757] lr: 1.0000e-03 eta: 1 day, 6:56:31 time: 0.7452 data_time: 0.0244 memory: 17350 grad_norm: 7.0346 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1148 loss: 1.1148 2022/07/23 18:29:26 - mmengine - INFO - Epoch(train) [56][2520/3757] lr: 1.0000e-03 eta: 1 day, 6:56:16 time: 0.5908 data_time: 0.0248 memory: 17350 grad_norm: 6.9394 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3832 loss: 1.3832 2022/07/23 18:29:40 - mmengine - INFO - Epoch(train) [56][2540/3757] lr: 1.0000e-03 eta: 1 day, 6:56:03 time: 0.6860 data_time: 0.0223 memory: 17350 grad_norm: 6.7528 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3477 loss: 1.3477 2022/07/23 18:29:53 - mmengine - INFO - Epoch(train) [56][2560/3757] lr: 1.0000e-03 eta: 1 day, 6:55:49 time: 0.6531 data_time: 0.0231 memory: 17350 grad_norm: 6.8931 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6030 loss: 1.6030 2022/07/23 18:30:06 - mmengine - INFO - Epoch(train) [56][2580/3757] lr: 1.0000e-03 eta: 1 day, 6:55:36 time: 0.6403 data_time: 0.0220 memory: 17350 grad_norm: 6.7521 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2602 loss: 1.2602 2022/07/23 18:30:21 - mmengine - INFO - Epoch(train) [56][2600/3757] lr: 1.0000e-03 eta: 1 day, 6:55:23 time: 0.7492 data_time: 0.0222 memory: 17350 grad_norm: 6.6218 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2338 loss: 1.2338 2022/07/23 18:30:33 - mmengine - INFO - Epoch(train) [56][2620/3757] lr: 1.0000e-03 eta: 1 day, 6:55:09 time: 0.5921 data_time: 0.0232 memory: 17350 grad_norm: 6.6760 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0316 loss: 1.0316 2022/07/23 18:30:48 - mmengine - INFO - Epoch(train) [56][2640/3757] lr: 1.0000e-03 eta: 1 day, 6:54:57 time: 0.7585 data_time: 0.0218 memory: 17350 grad_norm: 6.7816 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2789 loss: 1.2789 2022/07/23 18:31:00 - mmengine - INFO - Epoch(train) [56][2660/3757] lr: 1.0000e-03 eta: 1 day, 6:54:43 time: 0.6239 data_time: 0.0234 memory: 17350 grad_norm: 6.6885 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2857 loss: 1.2857 2022/07/23 18:31:14 - mmengine - INFO - Epoch(train) [56][2680/3757] lr: 1.0000e-03 eta: 1 day, 6:54:29 time: 0.6582 data_time: 0.0228 memory: 17350 grad_norm: 6.9346 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3388 loss: 1.3388 2022/07/23 18:31:27 - mmengine - INFO - Epoch(train) [56][2700/3757] lr: 1.0000e-03 eta: 1 day, 6:54:16 time: 0.6672 data_time: 0.0240 memory: 17350 grad_norm: 6.7019 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0488 loss: 1.0488 2022/07/23 18:31:39 - mmengine - INFO - Epoch(train) [56][2720/3757] lr: 1.0000e-03 eta: 1 day, 6:54:01 time: 0.6025 data_time: 0.0230 memory: 17350 grad_norm: 6.9768 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2411 loss: 1.2411 2022/07/23 18:31:53 - mmengine - INFO - Epoch(train) [56][2740/3757] lr: 1.0000e-03 eta: 1 day, 6:53:49 time: 0.7170 data_time: 0.0233 memory: 17350 grad_norm: 7.1751 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1659 loss: 1.1659 2022/07/23 18:32:07 - mmengine - INFO - Epoch(train) [56][2760/3757] lr: 1.0000e-03 eta: 1 day, 6:53:35 time: 0.6682 data_time: 0.0235 memory: 17350 grad_norm: 6.7991 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0931 loss: 1.0931 2022/07/23 18:32:20 - mmengine - INFO - Epoch(train) [56][2780/3757] lr: 1.0000e-03 eta: 1 day, 6:53:22 time: 0.6611 data_time: 0.0228 memory: 17350 grad_norm: 6.5163 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3991 loss: 1.3991 2022/07/23 18:32:34 - mmengine - INFO - Epoch(train) [56][2800/3757] lr: 1.0000e-03 eta: 1 day, 6:53:09 time: 0.6914 data_time: 0.0264 memory: 17350 grad_norm: 6.6572 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9739 loss: 0.9739 2022/07/23 18:32:47 - mmengine - INFO - Epoch(train) [56][2820/3757] lr: 1.0000e-03 eta: 1 day, 6:52:55 time: 0.6383 data_time: 0.0220 memory: 17350 grad_norm: 6.6720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3005 loss: 1.3005 2022/07/23 18:33:01 - mmengine - INFO - Epoch(train) [56][2840/3757] lr: 1.0000e-03 eta: 1 day, 6:52:42 time: 0.7028 data_time: 0.0219 memory: 17350 grad_norm: 6.4660 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3917 loss: 1.3917 2022/07/23 18:33:13 - mmengine - INFO - Epoch(train) [56][2860/3757] lr: 1.0000e-03 eta: 1 day, 6:52:28 time: 0.6022 data_time: 0.0237 memory: 17350 grad_norm: 6.9286 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1143 loss: 1.1143 2022/07/23 18:33:27 - mmengine - INFO - Epoch(train) [56][2880/3757] lr: 1.0000e-03 eta: 1 day, 6:52:15 time: 0.7097 data_time: 0.0217 memory: 17350 grad_norm: 6.7555 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1365 loss: 1.1365 2022/07/23 18:33:39 - mmengine - INFO - Epoch(train) [56][2900/3757] lr: 1.0000e-03 eta: 1 day, 6:52:01 time: 0.5962 data_time: 0.0219 memory: 17350 grad_norm: 7.0152 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1472 loss: 1.1472 2022/07/23 18:33:53 - mmengine - INFO - Epoch(train) [56][2920/3757] lr: 1.0000e-03 eta: 1 day, 6:51:48 time: 0.7310 data_time: 0.0247 memory: 17350 grad_norm: 7.0786 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4104 loss: 1.4104 2022/07/23 18:34:06 - mmengine - INFO - Epoch(train) [56][2940/3757] lr: 1.0000e-03 eta: 1 day, 6:51:34 time: 0.6049 data_time: 0.0241 memory: 17350 grad_norm: 6.9473 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1946 loss: 1.1946 2022/07/23 18:34:21 - mmengine - INFO - Epoch(train) [56][2960/3757] lr: 1.0000e-03 eta: 1 day, 6:51:22 time: 0.7787 data_time: 0.0223 memory: 17350 grad_norm: 6.5998 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3138 loss: 1.3138 2022/07/23 18:34:33 - mmengine - INFO - Epoch(train) [56][2980/3757] lr: 1.0000e-03 eta: 1 day, 6:51:08 time: 0.6027 data_time: 0.0239 memory: 17350 grad_norm: 6.9319 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0920 loss: 1.0920 2022/07/23 18:34:48 - mmengine - INFO - Epoch(train) [56][3000/3757] lr: 1.0000e-03 eta: 1 day, 6:50:55 time: 0.7268 data_time: 0.0220 memory: 17350 grad_norm: 6.8265 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2541 loss: 1.2541 2022/07/23 18:35:00 - mmengine - INFO - Epoch(train) [56][3020/3757] lr: 1.0000e-03 eta: 1 day, 6:50:41 time: 0.6230 data_time: 0.0234 memory: 17350 grad_norm: 6.7344 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1105 loss: 1.1105 2022/07/23 18:35:14 - mmengine - INFO - Epoch(train) [56][3040/3757] lr: 1.0000e-03 eta: 1 day, 6:50:28 time: 0.6770 data_time: 0.0220 memory: 17350 grad_norm: 6.9282 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1047 loss: 1.1047 2022/07/23 18:35:26 - mmengine - INFO - Epoch(train) [56][3060/3757] lr: 1.0000e-03 eta: 1 day, 6:50:14 time: 0.6135 data_time: 0.0216 memory: 17350 grad_norm: 6.7814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3644 loss: 1.3644 2022/07/23 18:35:40 - mmengine - INFO - Epoch(train) [56][3080/3757] lr: 1.0000e-03 eta: 1 day, 6:50:01 time: 0.7015 data_time: 0.0254 memory: 17350 grad_norm: 7.1141 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2960 loss: 1.2960 2022/07/23 18:35:52 - mmengine - INFO - Epoch(train) [56][3100/3757] lr: 1.0000e-03 eta: 1 day, 6:49:46 time: 0.5840 data_time: 0.0234 memory: 17350 grad_norm: 6.6725 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1247 loss: 1.1247 2022/07/23 18:36:06 - mmengine - INFO - Epoch(train) [56][3120/3757] lr: 1.0000e-03 eta: 1 day, 6:49:33 time: 0.7040 data_time: 0.0226 memory: 17350 grad_norm: 6.9024 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4027 loss: 1.4027 2022/07/23 18:36:18 - mmengine - INFO - Epoch(train) [56][3140/3757] lr: 1.0000e-03 eta: 1 day, 6:49:19 time: 0.6201 data_time: 0.0222 memory: 17350 grad_norm: 6.6413 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0961 loss: 1.0961 2022/07/23 18:36:32 - mmengine - INFO - Epoch(train) [56][3160/3757] lr: 1.0000e-03 eta: 1 day, 6:49:06 time: 0.6821 data_time: 0.0291 memory: 17350 grad_norm: 6.9345 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1964 loss: 1.1964 2022/07/23 18:36:46 - mmengine - INFO - Epoch(train) [56][3180/3757] lr: 1.0000e-03 eta: 1 day, 6:48:53 time: 0.6948 data_time: 0.0311 memory: 17350 grad_norm: 7.0392 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1790 loss: 1.1790 2022/07/23 18:36:59 - mmengine - INFO - Epoch(train) [56][3200/3757] lr: 1.0000e-03 eta: 1 day, 6:48:40 time: 0.6672 data_time: 0.1183 memory: 17350 grad_norm: 6.5208 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0480 loss: 1.0480 2022/07/23 18:37:14 - mmengine - INFO - Epoch(train) [56][3220/3757] lr: 1.0000e-03 eta: 1 day, 6:48:27 time: 0.7266 data_time: 0.0227 memory: 17350 grad_norm: 6.8857 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3846 loss: 1.3846 2022/07/23 18:37:27 - mmengine - INFO - Epoch(train) [56][3240/3757] lr: 1.0000e-03 eta: 1 day, 6:48:14 time: 0.6864 data_time: 0.0246 memory: 17350 grad_norm: 6.4295 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9992 loss: 0.9992 2022/07/23 18:37:40 - mmengine - INFO - Epoch(train) [56][3260/3757] lr: 1.0000e-03 eta: 1 day, 6:48:00 time: 0.6206 data_time: 0.0240 memory: 17350 grad_norm: 6.8500 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3531 loss: 1.3531 2022/07/23 18:37:55 - mmengine - INFO - Epoch(train) [56][3280/3757] lr: 1.0000e-03 eta: 1 day, 6:47:48 time: 0.7447 data_time: 0.0241 memory: 17350 grad_norm: 6.7035 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0290 loss: 1.0290 2022/07/23 18:38:07 - mmengine - INFO - Epoch(train) [56][3300/3757] lr: 1.0000e-03 eta: 1 day, 6:47:33 time: 0.5856 data_time: 0.0271 memory: 17350 grad_norm: 6.7983 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0975 loss: 1.0975 2022/07/23 18:38:22 - mmengine - INFO - Epoch(train) [56][3320/3757] lr: 1.0000e-03 eta: 1 day, 6:47:21 time: 0.7543 data_time: 0.0235 memory: 17350 grad_norm: 6.8673 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0330 loss: 1.0330 2022/07/23 18:38:32 - mmengine - INFO - Epoch(train) [56][3340/3757] lr: 1.0000e-03 eta: 1 day, 6:47:05 time: 0.5264 data_time: 0.0224 memory: 17350 grad_norm: 7.2925 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4675 loss: 1.4675 2022/07/23 18:38:48 - mmengine - INFO - Epoch(train) [56][3360/3757] lr: 1.0000e-03 eta: 1 day, 6:46:54 time: 0.7808 data_time: 0.0217 memory: 17350 grad_norm: 6.8125 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2743 loss: 1.2743 2022/07/23 18:38:51 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 18:39:01 - mmengine - INFO - Epoch(train) [56][3380/3757] lr: 1.0000e-03 eta: 1 day, 6:46:40 time: 0.6348 data_time: 0.0228 memory: 17350 grad_norm: 6.6209 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3640 loss: 1.3640 2022/07/23 18:39:14 - mmengine - INFO - Epoch(train) [56][3400/3757] lr: 1.0000e-03 eta: 1 day, 6:46:27 time: 0.6917 data_time: 0.0236 memory: 17350 grad_norm: 6.9586 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4634 loss: 1.4634 2022/07/23 18:39:27 - mmengine - INFO - Epoch(train) [56][3420/3757] lr: 1.0000e-03 eta: 1 day, 6:46:13 time: 0.6124 data_time: 0.0726 memory: 17350 grad_norm: 6.8296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2421 loss: 1.2421 2022/07/23 18:39:40 - mmengine - INFO - Epoch(train) [56][3440/3757] lr: 1.0000e-03 eta: 1 day, 6:45:59 time: 0.6687 data_time: 0.1444 memory: 17350 grad_norm: 7.0165 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2217 loss: 1.2217 2022/07/23 18:39:54 - mmengine - INFO - Epoch(train) [56][3460/3757] lr: 1.0000e-03 eta: 1 day, 6:45:46 time: 0.6920 data_time: 0.1657 memory: 17350 grad_norm: 6.8739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2778 loss: 1.2778 2022/07/23 18:40:08 - mmengine - INFO - Epoch(train) [56][3480/3757] lr: 1.0000e-03 eta: 1 day, 6:45:34 time: 0.7060 data_time: 0.0631 memory: 17350 grad_norm: 6.8703 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0442 loss: 1.0442 2022/07/23 18:40:24 - mmengine - INFO - Epoch(train) [56][3500/3757] lr: 1.0000e-03 eta: 1 day, 6:45:22 time: 0.7748 data_time: 0.0270 memory: 17350 grad_norm: 6.9564 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2719 loss: 1.2719 2022/07/23 18:40:34 - mmengine - INFO - Epoch(train) [56][3520/3757] lr: 1.0000e-03 eta: 1 day, 6:45:06 time: 0.5173 data_time: 0.0216 memory: 17350 grad_norm: 7.1440 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4460 loss: 1.4460 2022/07/23 18:40:48 - mmengine - INFO - Epoch(train) [56][3540/3757] lr: 1.0000e-03 eta: 1 day, 6:44:53 time: 0.7010 data_time: 0.0220 memory: 17350 grad_norm: 7.0379 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3528 loss: 1.3528 2022/07/23 18:41:00 - mmengine - INFO - Epoch(train) [56][3560/3757] lr: 1.0000e-03 eta: 1 day, 6:44:38 time: 0.5850 data_time: 0.0238 memory: 17350 grad_norm: 6.9262 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0731 loss: 1.0731 2022/07/23 18:41:14 - mmengine - INFO - Epoch(train) [56][3580/3757] lr: 1.0000e-03 eta: 1 day, 6:44:26 time: 0.7267 data_time: 0.0231 memory: 17350 grad_norm: 7.0995 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3348 loss: 1.3348 2022/07/23 18:41:27 - mmengine - INFO - Epoch(train) [56][3600/3757] lr: 1.0000e-03 eta: 1 day, 6:44:12 time: 0.6267 data_time: 0.0322 memory: 17350 grad_norm: 6.7323 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0035 loss: 1.0035 2022/07/23 18:41:40 - mmengine - INFO - Epoch(train) [56][3620/3757] lr: 1.0000e-03 eta: 1 day, 6:43:59 time: 0.6867 data_time: 0.0309 memory: 17350 grad_norm: 6.9698 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4828 loss: 1.4828 2022/07/23 18:41:55 - mmengine - INFO - Epoch(train) [56][3640/3757] lr: 1.0000e-03 eta: 1 day, 6:43:46 time: 0.7029 data_time: 0.0227 memory: 17350 grad_norm: 7.0244 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4618 loss: 1.4618 2022/07/23 18:42:08 - mmengine - INFO - Epoch(train) [56][3660/3757] lr: 1.0000e-03 eta: 1 day, 6:43:33 time: 0.6660 data_time: 0.0238 memory: 17350 grad_norm: 6.6300 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1368 loss: 1.1368 2022/07/23 18:42:23 - mmengine - INFO - Epoch(train) [56][3680/3757] lr: 1.0000e-03 eta: 1 day, 6:43:20 time: 0.7424 data_time: 0.0246 memory: 17350 grad_norm: 6.8752 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1976 loss: 1.1976 2022/07/23 18:42:35 - mmengine - INFO - Epoch(train) [56][3700/3757] lr: 1.0000e-03 eta: 1 day, 6:43:06 time: 0.5991 data_time: 0.0233 memory: 17350 grad_norm: 6.6997 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0274 loss: 1.0274 2022/07/23 18:42:48 - mmengine - INFO - Epoch(train) [56][3720/3757] lr: 1.0000e-03 eta: 1 day, 6:42:52 time: 0.6449 data_time: 0.0232 memory: 17350 grad_norm: 6.9420 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3508 loss: 1.3508 2022/07/23 18:43:00 - mmengine - INFO - Epoch(train) [56][3740/3757] lr: 1.0000e-03 eta: 1 day, 6:42:38 time: 0.6248 data_time: 0.0235 memory: 17350 grad_norm: 6.7755 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3228 loss: 1.3228 2022/07/23 18:43:09 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 18:43:09 - mmengine - INFO - Epoch(train) [56][3757/3757] lr: 1.0000e-03 eta: 1 day, 6:42:38 time: 0.4842 data_time: 0.0218 memory: 17350 grad_norm: 7.0593 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.4811 loss: 1.4811 2022/07/23 18:43:26 - mmengine - INFO - Epoch(val) [56][20/310] eta: 0:04:10 time: 0.8651 data_time: 0.7524 memory: 3406 2022/07/23 18:43:38 - mmengine - INFO - Epoch(val) [56][40/310] eta: 0:02:42 time: 0.6006 data_time: 0.4892 memory: 3406 2022/07/23 18:43:51 - mmengine - INFO - Epoch(val) [56][60/310] eta: 0:02:40 time: 0.6429 data_time: 0.5305 memory: 3406 2022/07/23 18:44:05 - mmengine - INFO - Epoch(val) [56][80/310] eta: 0:02:46 time: 0.7241 data_time: 0.6099 memory: 3406 2022/07/23 18:44:18 - mmengine - INFO - Epoch(val) [56][100/310] eta: 0:02:11 time: 0.6239 data_time: 0.5097 memory: 3406 2022/07/23 18:44:30 - mmengine - INFO - Epoch(val) [56][120/310] eta: 0:01:56 time: 0.6150 data_time: 0.4980 memory: 3406 2022/07/23 18:44:44 - mmengine - INFO - Epoch(val) [56][140/310] eta: 0:01:55 time: 0.6791 data_time: 0.5653 memory: 3406 2022/07/23 18:44:58 - mmengine - INFO - Epoch(val) [56][160/310] eta: 0:01:43 time: 0.6899 data_time: 0.5772 memory: 3406 2022/07/23 18:45:11 - mmengine - INFO - Epoch(val) [56][180/310] eta: 0:01:26 time: 0.6650 data_time: 0.5505 memory: 3406 2022/07/23 18:45:24 - mmengine - INFO - Epoch(val) [56][200/310] eta: 0:01:10 time: 0.6381 data_time: 0.5239 memory: 3406 2022/07/23 18:45:38 - mmengine - INFO - Epoch(val) [56][220/310] eta: 0:01:02 time: 0.6937 data_time: 0.5783 memory: 3406 2022/07/23 18:45:49 - mmengine - INFO - Epoch(val) [56][240/310] eta: 0:00:41 time: 0.5920 data_time: 0.4798 memory: 3406 2022/07/23 18:46:04 - mmengine - INFO - Epoch(val) [56][260/310] eta: 0:00:36 time: 0.7279 data_time: 0.6137 memory: 3406 2022/07/23 18:46:16 - mmengine - INFO - Epoch(val) [56][280/310] eta: 0:00:17 time: 0.5796 data_time: 0.4674 memory: 3406 2022/07/23 18:46:30 - mmengine - INFO - Epoch(val) [56][300/310] eta: 0:00:07 time: 0.7170 data_time: 0.6035 memory: 3406 2022/07/23 18:46:35 - mmengine - INFO - Epoch(val) [56][310/310] acc/top1: 0.6751 acc/top5: 0.8718 acc/mean1: 0.6751 2022/07/23 18:46:53 - mmengine - INFO - Epoch(train) [57][20/3757] lr: 1.0000e-03 eta: 1 day, 6:42:08 time: 0.9137 data_time: 0.4193 memory: 17350 grad_norm: 6.6816 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1261 loss: 1.1261 2022/07/23 18:47:06 - mmengine - INFO - Epoch(train) [57][40/3757] lr: 1.0000e-03 eta: 1 day, 6:41:54 time: 0.6203 data_time: 0.0802 memory: 17350 grad_norm: 6.8849 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0180 loss: 1.0180 2022/07/23 18:47:21 - mmengine - INFO - Epoch(train) [57][60/3757] lr: 1.0000e-03 eta: 1 day, 6:41:43 time: 0.7763 data_time: 0.3805 memory: 17350 grad_norm: 6.7809 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0855 loss: 1.0855 2022/07/23 18:47:34 - mmengine - INFO - Epoch(train) [57][80/3757] lr: 1.0000e-03 eta: 1 day, 6:41:28 time: 0.6217 data_time: 0.2878 memory: 17350 grad_norm: 6.8978 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3019 loss: 1.3019 2022/07/23 18:47:47 - mmengine - INFO - Epoch(train) [57][100/3757] lr: 1.0000e-03 eta: 1 day, 6:41:15 time: 0.6882 data_time: 0.3534 memory: 17350 grad_norm: 6.9415 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3954 loss: 1.3954 2022/07/23 18:48:00 - mmengine - INFO - Epoch(train) [57][120/3757] lr: 1.0000e-03 eta: 1 day, 6:41:01 time: 0.6094 data_time: 0.2733 memory: 17350 grad_norm: 6.8774 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2631 loss: 1.2631 2022/07/23 18:48:14 - mmengine - INFO - Epoch(train) [57][140/3757] lr: 1.0000e-03 eta: 1 day, 6:40:48 time: 0.7085 data_time: 0.3642 memory: 17350 grad_norm: 6.6667 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2397 loss: 1.2397 2022/07/23 18:48:26 - mmengine - INFO - Epoch(train) [57][160/3757] lr: 1.0000e-03 eta: 1 day, 6:40:34 time: 0.6050 data_time: 0.2425 memory: 17350 grad_norm: 6.6251 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2039 loss: 1.2039 2022/07/23 18:48:41 - mmengine - INFO - Epoch(train) [57][180/3757] lr: 1.0000e-03 eta: 1 day, 6:40:22 time: 0.7501 data_time: 0.2684 memory: 17350 grad_norm: 6.8554 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3903 loss: 1.3903 2022/07/23 18:48:52 - mmengine - INFO - Epoch(train) [57][200/3757] lr: 1.0000e-03 eta: 1 day, 6:40:07 time: 0.5705 data_time: 0.1110 memory: 17350 grad_norm: 6.7117 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4492 loss: 1.4492 2022/07/23 18:49:08 - mmengine - INFO - Epoch(train) [57][220/3757] lr: 1.0000e-03 eta: 1 day, 6:39:55 time: 0.7668 data_time: 0.1231 memory: 17350 grad_norm: 6.6845 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3458 loss: 1.3458 2022/07/23 18:49:20 - mmengine - INFO - Epoch(train) [57][240/3757] lr: 1.0000e-03 eta: 1 day, 6:39:41 time: 0.6154 data_time: 0.0247 memory: 17350 grad_norm: 7.2535 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2357 loss: 1.2357 2022/07/23 18:49:34 - mmengine - INFO - Epoch(train) [57][260/3757] lr: 1.0000e-03 eta: 1 day, 6:39:28 time: 0.7190 data_time: 0.0238 memory: 17350 grad_norm: 6.5676 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3929 loss: 1.3929 2022/07/23 18:49:46 - mmengine - INFO - Epoch(train) [57][280/3757] lr: 1.0000e-03 eta: 1 day, 6:39:14 time: 0.5876 data_time: 0.0236 memory: 17350 grad_norm: 6.6299 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1724 loss: 1.1724 2022/07/23 18:50:00 - mmengine - INFO - Epoch(train) [57][300/3757] lr: 1.0000e-03 eta: 1 day, 6:39:00 time: 0.6723 data_time: 0.0222 memory: 17350 grad_norm: 6.7382 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9573 loss: 0.9573 2022/07/23 18:50:13 - mmengine - INFO - Epoch(train) [57][320/3757] lr: 1.0000e-03 eta: 1 day, 6:38:47 time: 0.6837 data_time: 0.0216 memory: 17350 grad_norm: 6.4642 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2932 loss: 1.2932 2022/07/23 18:50:28 - mmengine - INFO - Epoch(train) [57][340/3757] lr: 1.0000e-03 eta: 1 day, 6:38:35 time: 0.7152 data_time: 0.0228 memory: 17350 grad_norm: 6.9902 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1553 loss: 1.1553 2022/07/23 18:50:40 - mmengine - INFO - Epoch(train) [57][360/3757] lr: 1.0000e-03 eta: 1 day, 6:38:20 time: 0.5979 data_time: 0.0230 memory: 17350 grad_norm: 7.0106 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2766 loss: 1.2766 2022/07/23 18:50:54 - mmengine - INFO - Epoch(train) [57][380/3757] lr: 1.0000e-03 eta: 1 day, 6:38:07 time: 0.7049 data_time: 0.0227 memory: 17350 grad_norm: 6.9639 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2755 loss: 1.2755 2022/07/23 18:51:07 - mmengine - INFO - Epoch(train) [57][400/3757] lr: 1.0000e-03 eta: 1 day, 6:37:54 time: 0.6581 data_time: 0.0474 memory: 17350 grad_norm: 6.9799 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2171 loss: 1.2171 2022/07/23 18:51:22 - mmengine - INFO - Epoch(train) [57][420/3757] lr: 1.0000e-03 eta: 1 day, 6:37:41 time: 0.7389 data_time: 0.0216 memory: 17350 grad_norm: 7.0995 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1987 loss: 1.1987 2022/07/23 18:51:33 - mmengine - INFO - Epoch(train) [57][440/3757] lr: 1.0000e-03 eta: 1 day, 6:37:26 time: 0.5571 data_time: 0.0219 memory: 17350 grad_norm: 6.6205 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3032 loss: 1.3032 2022/07/23 18:51:47 - mmengine - INFO - Epoch(train) [57][460/3757] lr: 1.0000e-03 eta: 1 day, 6:37:14 time: 0.7310 data_time: 0.0216 memory: 17350 grad_norm: 7.2687 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0268 loss: 1.0268 2022/07/23 18:51:59 - mmengine - INFO - Epoch(train) [57][480/3757] lr: 1.0000e-03 eta: 1 day, 6:36:59 time: 0.5990 data_time: 0.0244 memory: 17350 grad_norm: 6.6308 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2763 loss: 1.2763 2022/07/23 18:52:14 - mmengine - INFO - Epoch(train) [57][500/3757] lr: 1.0000e-03 eta: 1 day, 6:36:47 time: 0.7404 data_time: 0.0224 memory: 17350 grad_norm: 6.7688 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0114 loss: 1.0114 2022/07/23 18:52:26 - mmengine - INFO - Epoch(train) [57][520/3757] lr: 1.0000e-03 eta: 1 day, 6:36:32 time: 0.5821 data_time: 0.0217 memory: 17350 grad_norm: 6.8211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1977 loss: 1.1977 2022/07/23 18:52:40 - mmengine - INFO - Epoch(train) [57][540/3757] lr: 1.0000e-03 eta: 1 day, 6:36:19 time: 0.6923 data_time: 0.0225 memory: 17350 grad_norm: 7.2208 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3977 loss: 1.3977 2022/07/23 18:52:52 - mmengine - INFO - Epoch(train) [57][560/3757] lr: 1.0000e-03 eta: 1 day, 6:36:05 time: 0.6216 data_time: 0.0216 memory: 17350 grad_norm: 6.6939 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2282 loss: 1.2282 2022/07/23 18:53:07 - mmengine - INFO - Epoch(train) [57][580/3757] lr: 1.0000e-03 eta: 1 day, 6:35:53 time: 0.7272 data_time: 0.0224 memory: 17350 grad_norm: 6.8978 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3481 loss: 1.3481 2022/07/23 18:53:19 - mmengine - INFO - Epoch(train) [57][600/3757] lr: 1.0000e-03 eta: 1 day, 6:35:39 time: 0.6067 data_time: 0.0220 memory: 17350 grad_norm: 6.9609 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2338 loss: 1.2338 2022/07/23 18:53:25 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 18:53:35 - mmengine - INFO - Epoch(train) [57][620/3757] lr: 1.0000e-03 eta: 1 day, 6:35:27 time: 0.7777 data_time: 0.0267 memory: 17350 grad_norm: 6.8077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3175 loss: 1.3175 2022/07/23 18:53:47 - mmengine - INFO - Epoch(train) [57][640/3757] lr: 1.0000e-03 eta: 1 day, 6:35:13 time: 0.6162 data_time: 0.0243 memory: 17350 grad_norm: 6.9735 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2017 loss: 1.2017 2022/07/23 18:54:01 - mmengine - INFO - Epoch(train) [57][660/3757] lr: 1.0000e-03 eta: 1 day, 6:35:00 time: 0.6854 data_time: 0.0237 memory: 17350 grad_norm: 6.5847 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1354 loss: 1.1354 2022/07/23 18:54:12 - mmengine - INFO - Epoch(train) [57][680/3757] lr: 1.0000e-03 eta: 1 day, 6:34:45 time: 0.5914 data_time: 0.0222 memory: 17350 grad_norm: 6.8381 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9653 loss: 0.9653 2022/07/23 18:54:26 - mmengine - INFO - Epoch(train) [57][700/3757] lr: 1.0000e-03 eta: 1 day, 6:34:32 time: 0.6930 data_time: 0.0289 memory: 17350 grad_norm: 6.7061 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0803 loss: 1.0803 2022/07/23 18:54:39 - mmengine - INFO - Epoch(train) [57][720/3757] lr: 1.0000e-03 eta: 1 day, 6:34:18 time: 0.6142 data_time: 0.0232 memory: 17350 grad_norm: 6.8997 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4568 loss: 1.4568 2022/07/23 18:54:53 - mmengine - INFO - Epoch(train) [57][740/3757] lr: 1.0000e-03 eta: 1 day, 6:34:05 time: 0.7378 data_time: 0.0227 memory: 17350 grad_norm: 6.9768 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4759 loss: 1.4759 2022/07/23 18:55:07 - mmengine - INFO - Epoch(train) [57][760/3757] lr: 1.0000e-03 eta: 1 day, 6:33:52 time: 0.6732 data_time: 0.0240 memory: 17350 grad_norm: 7.0632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2209 loss: 1.2209 2022/07/23 18:55:21 - mmengine - INFO - Epoch(train) [57][780/3757] lr: 1.0000e-03 eta: 1 day, 6:33:39 time: 0.7057 data_time: 0.0259 memory: 17350 grad_norm: 6.8862 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2761 loss: 1.2761 2022/07/23 18:55:33 - mmengine - INFO - Epoch(train) [57][800/3757] lr: 1.0000e-03 eta: 1 day, 6:33:25 time: 0.6026 data_time: 0.0228 memory: 17350 grad_norm: 6.6947 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9938 loss: 0.9938 2022/07/23 18:55:47 - mmengine - INFO - Epoch(train) [57][820/3757] lr: 1.0000e-03 eta: 1 day, 6:33:12 time: 0.7191 data_time: 0.0241 memory: 17350 grad_norm: 6.7826 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1153 loss: 1.1153 2022/07/23 18:55:59 - mmengine - INFO - Epoch(train) [57][840/3757] lr: 1.0000e-03 eta: 1 day, 6:32:58 time: 0.5938 data_time: 0.0254 memory: 17350 grad_norm: 6.7758 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2378 loss: 1.2378 2022/07/23 18:56:13 - mmengine - INFO - Epoch(train) [57][860/3757] lr: 1.0000e-03 eta: 1 day, 6:32:45 time: 0.6776 data_time: 0.0316 memory: 17350 grad_norm: 6.6801 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2567 loss: 1.2567 2022/07/23 18:56:27 - mmengine - INFO - Epoch(train) [57][880/3757] lr: 1.0000e-03 eta: 1 day, 6:32:31 time: 0.6823 data_time: 0.0784 memory: 17350 grad_norm: 7.1247 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4586 loss: 1.4586 2022/07/23 18:56:41 - mmengine - INFO - Epoch(train) [57][900/3757] lr: 1.0000e-03 eta: 1 day, 6:32:19 time: 0.7211 data_time: 0.0372 memory: 17350 grad_norm: 7.1322 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4805 loss: 1.4805 2022/07/23 18:56:56 - mmengine - INFO - Epoch(train) [57][920/3757] lr: 1.0000e-03 eta: 1 day, 6:32:06 time: 0.7308 data_time: 0.0228 memory: 17350 grad_norm: 6.5155 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1489 loss: 1.1489 2022/07/23 18:57:09 - mmengine - INFO - Epoch(train) [57][940/3757] lr: 1.0000e-03 eta: 1 day, 6:31:53 time: 0.6519 data_time: 0.0262 memory: 17350 grad_norm: 6.8803 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2238 loss: 1.2238 2022/07/23 18:57:20 - mmengine - INFO - Epoch(train) [57][960/3757] lr: 1.0000e-03 eta: 1 day, 6:31:38 time: 0.5592 data_time: 0.0202 memory: 17350 grad_norm: 6.6734 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1250 loss: 1.1250 2022/07/23 18:57:34 - mmengine - INFO - Epoch(train) [57][980/3757] lr: 1.0000e-03 eta: 1 day, 6:31:25 time: 0.7248 data_time: 0.0241 memory: 17350 grad_norm: 6.9011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1946 loss: 1.1946 2022/07/23 18:57:47 - mmengine - INFO - Epoch(train) [57][1000/3757] lr: 1.0000e-03 eta: 1 day, 6:31:11 time: 0.6134 data_time: 0.0243 memory: 17350 grad_norm: 6.5425 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9774 loss: 0.9774 2022/07/23 18:58:01 - mmengine - INFO - Epoch(train) [57][1020/3757] lr: 1.0000e-03 eta: 1 day, 6:30:58 time: 0.7221 data_time: 0.0245 memory: 17350 grad_norm: 7.0028 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2977 loss: 1.2977 2022/07/23 18:58:14 - mmengine - INFO - Epoch(train) [57][1040/3757] lr: 1.0000e-03 eta: 1 day, 6:30:45 time: 0.6337 data_time: 0.0227 memory: 17350 grad_norm: 7.0995 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4011 loss: 1.4011 2022/07/23 18:58:28 - mmengine - INFO - Epoch(train) [57][1060/3757] lr: 1.0000e-03 eta: 1 day, 6:30:31 time: 0.6887 data_time: 0.0219 memory: 17350 grad_norm: 6.6023 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0581 loss: 1.0581 2022/07/23 18:58:39 - mmengine - INFO - Epoch(train) [57][1080/3757] lr: 1.0000e-03 eta: 1 day, 6:30:17 time: 0.5770 data_time: 0.0265 memory: 17350 grad_norm: 7.3811 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1575 loss: 1.1575 2022/07/23 18:58:54 - mmengine - INFO - Epoch(train) [57][1100/3757] lr: 1.0000e-03 eta: 1 day, 6:30:04 time: 0.7409 data_time: 0.0226 memory: 17350 grad_norm: 6.8657 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1450 loss: 1.1450 2022/07/23 18:59:06 - mmengine - INFO - Epoch(train) [57][1120/3757] lr: 1.0000e-03 eta: 1 day, 6:29:50 time: 0.5873 data_time: 0.0235 memory: 17350 grad_norm: 7.1938 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3040 loss: 1.3040 2022/07/23 18:59:19 - mmengine - INFO - Epoch(train) [57][1140/3757] lr: 1.0000e-03 eta: 1 day, 6:29:37 time: 0.6884 data_time: 0.0242 memory: 17350 grad_norm: 6.7472 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2074 loss: 1.2074 2022/07/23 18:59:32 - mmengine - INFO - Epoch(train) [57][1160/3757] lr: 1.0000e-03 eta: 1 day, 6:29:23 time: 0.6412 data_time: 0.0223 memory: 17350 grad_norm: 6.9538 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1669 loss: 1.1669 2022/07/23 18:59:46 - mmengine - INFO - Epoch(train) [57][1180/3757] lr: 1.0000e-03 eta: 1 day, 6:29:10 time: 0.6923 data_time: 0.1303 memory: 17350 grad_norm: 6.8665 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9840 loss: 0.9840 2022/07/23 18:59:59 - mmengine - INFO - Epoch(train) [57][1200/3757] lr: 1.0000e-03 eta: 1 day, 6:28:56 time: 0.6344 data_time: 0.2008 memory: 17350 grad_norm: 6.9027 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3454 loss: 1.3454 2022/07/23 19:00:13 - mmengine - INFO - Epoch(train) [57][1220/3757] lr: 1.0000e-03 eta: 1 day, 6:28:43 time: 0.6964 data_time: 0.1645 memory: 17350 grad_norm: 6.6812 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2178 loss: 1.2178 2022/07/23 19:00:27 - mmengine - INFO - Epoch(train) [57][1240/3757] lr: 1.0000e-03 eta: 1 day, 6:28:30 time: 0.7206 data_time: 0.0232 memory: 17350 grad_norm: 6.7020 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1298 loss: 1.1298 2022/07/23 19:00:40 - mmengine - INFO - Epoch(train) [57][1260/3757] lr: 1.0000e-03 eta: 1 day, 6:28:16 time: 0.6224 data_time: 0.0965 memory: 17350 grad_norm: 6.8275 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1659 loss: 1.1659 2022/07/23 19:00:53 - mmengine - INFO - Epoch(train) [57][1280/3757] lr: 1.0000e-03 eta: 1 day, 6:28:03 time: 0.6800 data_time: 0.1148 memory: 17350 grad_norm: 6.5535 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2773 loss: 1.2773 2022/07/23 19:01:06 - mmengine - INFO - Epoch(train) [57][1300/3757] lr: 1.0000e-03 eta: 1 day, 6:27:50 time: 0.6501 data_time: 0.2715 memory: 17350 grad_norm: 6.9905 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0046 loss: 1.0046 2022/07/23 19:01:19 - mmengine - INFO - Epoch(train) [57][1320/3757] lr: 1.0000e-03 eta: 1 day, 6:27:36 time: 0.6380 data_time: 0.1636 memory: 17350 grad_norm: 6.9538 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2117 loss: 1.2117 2022/07/23 19:01:33 - mmengine - INFO - Epoch(train) [57][1340/3757] lr: 1.0000e-03 eta: 1 day, 6:27:23 time: 0.7148 data_time: 0.1713 memory: 17350 grad_norm: 6.6283 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1596 loss: 1.1596 2022/07/23 19:01:46 - mmengine - INFO - Epoch(train) [57][1360/3757] lr: 1.0000e-03 eta: 1 day, 6:27:09 time: 0.6421 data_time: 0.0634 memory: 17350 grad_norm: 7.0612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3132 loss: 1.3132 2022/07/23 19:01:59 - mmengine - INFO - Epoch(train) [57][1380/3757] lr: 1.0000e-03 eta: 1 day, 6:26:55 time: 0.6429 data_time: 0.0223 memory: 17350 grad_norm: 6.8448 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1387 loss: 1.1387 2022/07/23 19:02:15 - mmengine - INFO - Epoch(train) [57][1400/3757] lr: 1.0000e-03 eta: 1 day, 6:26:44 time: 0.7993 data_time: 0.0210 memory: 17350 grad_norm: 7.1142 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1945 loss: 1.1945 2022/07/23 19:02:26 - mmengine - INFO - Epoch(train) [57][1420/3757] lr: 1.0000e-03 eta: 1 day, 6:26:29 time: 0.5537 data_time: 0.0246 memory: 17350 grad_norm: 6.9683 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1418 loss: 1.1418 2022/07/23 19:02:42 - mmengine - INFO - Epoch(train) [57][1440/3757] lr: 1.0000e-03 eta: 1 day, 6:26:17 time: 0.7817 data_time: 0.0223 memory: 17350 grad_norm: 6.7050 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3976 loss: 1.3976 2022/07/23 19:02:54 - mmengine - INFO - Epoch(train) [57][1460/3757] lr: 1.0000e-03 eta: 1 day, 6:26:03 time: 0.5841 data_time: 0.0261 memory: 17350 grad_norm: 6.9828 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1833 loss: 1.1833 2022/07/23 19:03:07 - mmengine - INFO - Epoch(train) [57][1480/3757] lr: 1.0000e-03 eta: 1 day, 6:25:49 time: 0.6818 data_time: 0.0215 memory: 17350 grad_norm: 6.7727 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1919 loss: 1.1919 2022/07/23 19:03:19 - mmengine - INFO - Epoch(train) [57][1500/3757] lr: 1.0000e-03 eta: 1 day, 6:25:35 time: 0.5971 data_time: 0.0221 memory: 17350 grad_norm: 6.8684 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1962 loss: 1.1962 2022/07/23 19:03:33 - mmengine - INFO - Epoch(train) [57][1520/3757] lr: 1.0000e-03 eta: 1 day, 6:25:22 time: 0.6884 data_time: 0.0218 memory: 17350 grad_norm: 6.7298 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1142 loss: 1.1142 2022/07/23 19:03:46 - mmengine - INFO - Epoch(train) [57][1540/3757] lr: 1.0000e-03 eta: 1 day, 6:25:09 time: 0.6739 data_time: 0.0232 memory: 17350 grad_norm: 6.6958 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1997 loss: 1.1997 2022/07/23 19:04:00 - mmengine - INFO - Epoch(train) [57][1560/3757] lr: 1.0000e-03 eta: 1 day, 6:24:55 time: 0.6561 data_time: 0.0195 memory: 17350 grad_norm: 7.0570 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5120 loss: 1.5120 2022/07/23 19:04:13 - mmengine - INFO - Epoch(train) [57][1580/3757] lr: 1.0000e-03 eta: 1 day, 6:24:42 time: 0.6847 data_time: 0.0226 memory: 17350 grad_norm: 6.9204 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1556 loss: 1.1556 2022/07/23 19:04:27 - mmengine - INFO - Epoch(train) [57][1600/3757] lr: 1.0000e-03 eta: 1 day, 6:24:29 time: 0.6934 data_time: 0.0241 memory: 17350 grad_norm: 6.8169 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3535 loss: 1.3535 2022/07/23 19:04:33 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 19:04:40 - mmengine - INFO - Epoch(train) [57][1620/3757] lr: 1.0000e-03 eta: 1 day, 6:24:15 time: 0.6376 data_time: 0.0257 memory: 17350 grad_norm: 7.0596 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4326 loss: 1.4326 2022/07/23 19:04:55 - mmengine - INFO - Epoch(train) [57][1640/3757] lr: 1.0000e-03 eta: 1 day, 6:24:03 time: 0.7351 data_time: 0.0218 memory: 17350 grad_norm: 6.7380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0610 loss: 1.0610 2022/07/23 19:05:07 - mmengine - INFO - Epoch(train) [57][1660/3757] lr: 1.0000e-03 eta: 1 day, 6:23:48 time: 0.6070 data_time: 0.0234 memory: 17350 grad_norm: 6.5765 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3419 loss: 1.3419 2022/07/23 19:05:22 - mmengine - INFO - Epoch(train) [57][1680/3757] lr: 1.0000e-03 eta: 1 day, 6:23:36 time: 0.7453 data_time: 0.0252 memory: 17350 grad_norm: 6.9854 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3203 loss: 1.3203 2022/07/23 19:05:33 - mmengine - INFO - Epoch(train) [57][1700/3757] lr: 1.0000e-03 eta: 1 day, 6:23:22 time: 0.5883 data_time: 0.0238 memory: 17350 grad_norm: 7.0514 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2227 loss: 1.2227 2022/07/23 19:05:47 - mmengine - INFO - Epoch(train) [57][1720/3757] lr: 1.0000e-03 eta: 1 day, 6:23:09 time: 0.6850 data_time: 0.0839 memory: 17350 grad_norm: 6.8228 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4706 loss: 1.4706 2022/07/23 19:06:01 - mmengine - INFO - Epoch(train) [57][1740/3757] lr: 1.0000e-03 eta: 1 day, 6:22:56 time: 0.7085 data_time: 0.1102 memory: 17350 grad_norm: 7.0489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6061 loss: 1.6061 2022/07/23 19:06:15 - mmengine - INFO - Epoch(train) [57][1760/3757] lr: 1.0000e-03 eta: 1 day, 6:22:42 time: 0.6639 data_time: 0.0561 memory: 17350 grad_norm: 6.7622 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2971 loss: 1.2971 2022/07/23 19:06:27 - mmengine - INFO - Epoch(train) [57][1780/3757] lr: 1.0000e-03 eta: 1 day, 6:22:28 time: 0.6242 data_time: 0.0353 memory: 17350 grad_norm: 6.8032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3628 loss: 1.3628 2022/07/23 19:06:41 - mmengine - INFO - Epoch(train) [57][1800/3757] lr: 1.0000e-03 eta: 1 day, 6:22:15 time: 0.6846 data_time: 0.0249 memory: 17350 grad_norm: 6.6945 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1882 loss: 1.1882 2022/07/23 19:06:53 - mmengine - INFO - Epoch(train) [57][1820/3757] lr: 1.0000e-03 eta: 1 day, 6:22:01 time: 0.5925 data_time: 0.0219 memory: 17350 grad_norm: 6.6687 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0603 loss: 1.0603 2022/07/23 19:07:08 - mmengine - INFO - Epoch(train) [57][1840/3757] lr: 1.0000e-03 eta: 1 day, 6:21:49 time: 0.7795 data_time: 0.0259 memory: 17350 grad_norm: 6.9141 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2060 loss: 1.2060 2022/07/23 19:07:20 - mmengine - INFO - Epoch(train) [57][1860/3757] lr: 1.0000e-03 eta: 1 day, 6:21:35 time: 0.6069 data_time: 0.0239 memory: 17350 grad_norm: 6.8485 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1747 loss: 1.1747 2022/07/23 19:07:35 - mmengine - INFO - Epoch(train) [57][1880/3757] lr: 1.0000e-03 eta: 1 day, 6:21:22 time: 0.7441 data_time: 0.0264 memory: 17350 grad_norm: 7.0135 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2633 loss: 1.2633 2022/07/23 19:07:47 - mmengine - INFO - Epoch(train) [57][1900/3757] lr: 1.0000e-03 eta: 1 day, 6:21:08 time: 0.5739 data_time: 0.0218 memory: 17350 grad_norm: 6.7422 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3552 loss: 1.3552 2022/07/23 19:08:01 - mmengine - INFO - Epoch(train) [57][1920/3757] lr: 1.0000e-03 eta: 1 day, 6:20:55 time: 0.6951 data_time: 0.0244 memory: 17350 grad_norm: 6.9147 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3694 loss: 1.3694 2022/07/23 19:08:13 - mmengine - INFO - Epoch(train) [57][1940/3757] lr: 1.0000e-03 eta: 1 day, 6:20:40 time: 0.5997 data_time: 0.0233 memory: 17350 grad_norm: 7.0181 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4579 loss: 1.4579 2022/07/23 19:08:28 - mmengine - INFO - Epoch(train) [57][1960/3757] lr: 1.0000e-03 eta: 1 day, 6:20:28 time: 0.7355 data_time: 0.0249 memory: 17350 grad_norm: 6.9355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2056 loss: 1.2056 2022/07/23 19:08:40 - mmengine - INFO - Epoch(train) [57][1980/3757] lr: 1.0000e-03 eta: 1 day, 6:20:13 time: 0.6071 data_time: 0.0235 memory: 17350 grad_norm: 6.8370 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1829 loss: 1.1829 2022/07/23 19:08:53 - mmengine - INFO - Epoch(train) [57][2000/3757] lr: 1.0000e-03 eta: 1 day, 6:20:00 time: 0.6645 data_time: 0.0224 memory: 17350 grad_norm: 6.7228 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0659 loss: 1.0659 2022/07/23 19:09:06 - mmengine - INFO - Epoch(train) [57][2020/3757] lr: 1.0000e-03 eta: 1 day, 6:19:46 time: 0.6369 data_time: 0.0228 memory: 17350 grad_norm: 6.9850 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3015 loss: 1.3015 2022/07/23 19:09:20 - mmengine - INFO - Epoch(train) [57][2040/3757] lr: 1.0000e-03 eta: 1 day, 6:19:34 time: 0.7238 data_time: 0.0228 memory: 17350 grad_norm: 6.7864 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9437 loss: 0.9437 2022/07/23 19:09:32 - mmengine - INFO - Epoch(train) [57][2060/3757] lr: 1.0000e-03 eta: 1 day, 6:19:19 time: 0.6092 data_time: 0.0218 memory: 17350 grad_norm: 7.0730 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2573 loss: 1.2573 2022/07/23 19:09:46 - mmengine - INFO - Epoch(train) [57][2080/3757] lr: 1.0000e-03 eta: 1 day, 6:19:06 time: 0.6972 data_time: 0.0231 memory: 17350 grad_norm: 7.0211 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2595 loss: 1.2595 2022/07/23 19:10:00 - mmengine - INFO - Epoch(train) [57][2100/3757] lr: 1.0000e-03 eta: 1 day, 6:18:53 time: 0.6568 data_time: 0.0226 memory: 17350 grad_norm: 6.8784 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2548 loss: 1.2548 2022/07/23 19:10:14 - mmengine - INFO - Epoch(train) [57][2120/3757] lr: 1.0000e-03 eta: 1 day, 6:18:41 time: 0.7405 data_time: 0.0224 memory: 17350 grad_norm: 6.8317 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9762 loss: 0.9762 2022/07/23 19:10:26 - mmengine - INFO - Epoch(train) [57][2140/3757] lr: 1.0000e-03 eta: 1 day, 6:18:26 time: 0.5888 data_time: 0.0242 memory: 17350 grad_norm: 7.0376 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1083 loss: 1.1083 2022/07/23 19:10:40 - mmengine - INFO - Epoch(train) [57][2160/3757] lr: 1.0000e-03 eta: 1 day, 6:18:13 time: 0.6974 data_time: 0.0202 memory: 17350 grad_norm: 7.0105 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9693 loss: 0.9693 2022/07/23 19:10:54 - mmengine - INFO - Epoch(train) [57][2180/3757] lr: 1.0000e-03 eta: 1 day, 6:18:00 time: 0.6729 data_time: 0.0248 memory: 17350 grad_norm: 6.8872 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1938 loss: 1.1938 2022/07/23 19:11:07 - mmengine - INFO - Epoch(train) [57][2200/3757] lr: 1.0000e-03 eta: 1 day, 6:17:46 time: 0.6499 data_time: 0.0245 memory: 17350 grad_norm: 6.6584 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2376 loss: 1.2376 2022/07/23 19:11:21 - mmengine - INFO - Epoch(train) [57][2220/3757] lr: 1.0000e-03 eta: 1 day, 6:17:33 time: 0.7012 data_time: 0.0215 memory: 17350 grad_norm: 7.0712 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1581 loss: 1.1581 2022/07/23 19:11:34 - mmengine - INFO - Epoch(train) [57][2240/3757] lr: 1.0000e-03 eta: 1 day, 6:17:20 time: 0.6635 data_time: 0.0238 memory: 17350 grad_norm: 6.8985 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0712 loss: 1.0712 2022/07/23 19:11:47 - mmengine - INFO - Epoch(train) [57][2260/3757] lr: 1.0000e-03 eta: 1 day, 6:17:06 time: 0.6539 data_time: 0.0220 memory: 17350 grad_norm: 6.9773 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1342 loss: 1.1342 2022/07/23 19:12:02 - mmengine - INFO - Epoch(train) [57][2280/3757] lr: 1.0000e-03 eta: 1 day, 6:16:54 time: 0.7677 data_time: 0.0201 memory: 17350 grad_norm: 7.0653 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3580 loss: 1.3580 2022/07/23 19:12:14 - mmengine - INFO - Epoch(train) [57][2300/3757] lr: 1.0000e-03 eta: 1 day, 6:16:40 time: 0.5929 data_time: 0.0223 memory: 17350 grad_norm: 6.7394 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3161 loss: 1.3161 2022/07/23 19:12:29 - mmengine - INFO - Epoch(train) [57][2320/3757] lr: 1.0000e-03 eta: 1 day, 6:16:27 time: 0.7209 data_time: 0.0231 memory: 17350 grad_norm: 6.7678 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5044 loss: 1.5044 2022/07/23 19:12:40 - mmengine - INFO - Epoch(train) [57][2340/3757] lr: 1.0000e-03 eta: 1 day, 6:16:12 time: 0.5664 data_time: 0.0232 memory: 17350 grad_norm: 6.8441 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3027 loss: 1.3027 2022/07/23 19:12:54 - mmengine - INFO - Epoch(train) [57][2360/3757] lr: 1.0000e-03 eta: 1 day, 6:16:00 time: 0.7166 data_time: 0.0226 memory: 17350 grad_norm: 6.6972 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0316 loss: 1.0316 2022/07/23 19:13:06 - mmengine - INFO - Epoch(train) [57][2380/3757] lr: 1.0000e-03 eta: 1 day, 6:15:45 time: 0.5882 data_time: 0.0236 memory: 17350 grad_norm: 6.7445 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1003 loss: 1.1003 2022/07/23 19:13:22 - mmengine - INFO - Epoch(train) [57][2400/3757] lr: 1.0000e-03 eta: 1 day, 6:15:33 time: 0.7781 data_time: 0.0207 memory: 17350 grad_norm: 6.8868 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4479 loss: 1.4479 2022/07/23 19:13:33 - mmengine - INFO - Epoch(train) [57][2420/3757] lr: 1.0000e-03 eta: 1 day, 6:15:19 time: 0.5801 data_time: 0.0229 memory: 17350 grad_norm: 6.4537 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3500 loss: 1.3500 2022/07/23 19:13:48 - mmengine - INFO - Epoch(train) [57][2440/3757] lr: 1.0000e-03 eta: 1 day, 6:15:06 time: 0.7144 data_time: 0.0218 memory: 17350 grad_norm: 7.0417 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4262 loss: 1.4262 2022/07/23 19:14:01 - mmengine - INFO - Epoch(train) [57][2460/3757] lr: 1.0000e-03 eta: 1 day, 6:14:52 time: 0.6504 data_time: 0.0526 memory: 17350 grad_norm: 6.9163 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2499 loss: 1.2499 2022/07/23 19:14:14 - mmengine - INFO - Epoch(train) [57][2480/3757] lr: 1.0000e-03 eta: 1 day, 6:14:39 time: 0.6837 data_time: 0.0240 memory: 17350 grad_norm: 6.9174 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1066 loss: 1.1066 2022/07/23 19:14:27 - mmengine - INFO - Epoch(train) [57][2500/3757] lr: 1.0000e-03 eta: 1 day, 6:14:25 time: 0.6230 data_time: 0.0228 memory: 17350 grad_norm: 6.8713 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0994 loss: 1.0994 2022/07/23 19:14:41 - mmengine - INFO - Epoch(train) [57][2520/3757] lr: 1.0000e-03 eta: 1 day, 6:14:13 time: 0.7241 data_time: 0.0216 memory: 17350 grad_norm: 6.8893 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3077 loss: 1.3077 2022/07/23 19:14:53 - mmengine - INFO - Epoch(train) [57][2540/3757] lr: 1.0000e-03 eta: 1 day, 6:13:58 time: 0.6086 data_time: 0.0232 memory: 17350 grad_norm: 6.7328 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2571 loss: 1.2571 2022/07/23 19:15:09 - mmengine - INFO - Epoch(train) [57][2560/3757] lr: 1.0000e-03 eta: 1 day, 6:13:46 time: 0.7552 data_time: 0.0218 memory: 17350 grad_norm: 7.0930 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2207 loss: 1.2207 2022/07/23 19:15:20 - mmengine - INFO - Epoch(train) [57][2580/3757] lr: 1.0000e-03 eta: 1 day, 6:13:32 time: 0.5846 data_time: 0.0214 memory: 17350 grad_norm: 6.6660 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2227 loss: 1.2227 2022/07/23 19:15:36 - mmengine - INFO - Epoch(train) [57][2600/3757] lr: 1.0000e-03 eta: 1 day, 6:13:20 time: 0.7677 data_time: 0.0245 memory: 17350 grad_norm: 6.7166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2498 loss: 1.2498 2022/07/23 19:15:40 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 19:15:47 - mmengine - INFO - Epoch(train) [57][2620/3757] lr: 1.0000e-03 eta: 1 day, 6:13:05 time: 0.5798 data_time: 0.0227 memory: 17350 grad_norm: 7.2194 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3166 loss: 1.3166 2022/07/23 19:16:02 - mmengine - INFO - Epoch(train) [57][2640/3757] lr: 1.0000e-03 eta: 1 day, 6:12:52 time: 0.7106 data_time: 0.0206 memory: 17350 grad_norm: 6.8698 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2320 loss: 1.2320 2022/07/23 19:16:13 - mmengine - INFO - Epoch(train) [57][2660/3757] lr: 1.0000e-03 eta: 1 day, 6:12:37 time: 0.5624 data_time: 0.0265 memory: 17350 grad_norm: 6.8862 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2077 loss: 1.2077 2022/07/23 19:16:27 - mmengine - INFO - Epoch(train) [57][2680/3757] lr: 1.0000e-03 eta: 1 day, 6:12:25 time: 0.7187 data_time: 0.0208 memory: 17350 grad_norm: 7.2595 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2341 loss: 1.2341 2022/07/23 19:16:40 - mmengine - INFO - Epoch(train) [57][2700/3757] lr: 1.0000e-03 eta: 1 day, 6:12:10 time: 0.6172 data_time: 0.0215 memory: 17350 grad_norm: 6.8442 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3989 loss: 1.3989 2022/07/23 19:16:54 - mmengine - INFO - Epoch(train) [57][2720/3757] lr: 1.0000e-03 eta: 1 day, 6:11:58 time: 0.7475 data_time: 0.0423 memory: 17350 grad_norm: 6.9598 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4450 loss: 1.4450 2022/07/23 19:17:06 - mmengine - INFO - Epoch(train) [57][2740/3757] lr: 1.0000e-03 eta: 1 day, 6:11:43 time: 0.5773 data_time: 0.0230 memory: 17350 grad_norm: 6.8559 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1791 loss: 1.1791 2022/07/23 19:17:21 - mmengine - INFO - Epoch(train) [57][2760/3757] lr: 1.0000e-03 eta: 1 day, 6:11:31 time: 0.7528 data_time: 0.0204 memory: 17350 grad_norm: 6.8060 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2385 loss: 1.2385 2022/07/23 19:17:33 - mmengine - INFO - Epoch(train) [57][2780/3757] lr: 1.0000e-03 eta: 1 day, 6:11:17 time: 0.5875 data_time: 0.0231 memory: 17350 grad_norm: 6.7986 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2645 loss: 1.2645 2022/07/23 19:17:48 - mmengine - INFO - Epoch(train) [57][2800/3757] lr: 1.0000e-03 eta: 1 day, 6:11:04 time: 0.7347 data_time: 0.0230 memory: 17350 grad_norm: 6.9094 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2540 loss: 1.2540 2022/07/23 19:18:00 - mmengine - INFO - Epoch(train) [57][2820/3757] lr: 1.0000e-03 eta: 1 day, 6:10:50 time: 0.5964 data_time: 0.0216 memory: 17350 grad_norm: 6.8944 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2228 loss: 1.2228 2022/07/23 19:18:13 - mmengine - INFO - Epoch(train) [57][2840/3757] lr: 1.0000e-03 eta: 1 day, 6:10:37 time: 0.6985 data_time: 0.0219 memory: 17350 grad_norm: 7.1067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1747 loss: 1.1747 2022/07/23 19:18:27 - mmengine - INFO - Epoch(train) [57][2860/3757] lr: 1.0000e-03 eta: 1 day, 6:10:24 time: 0.6689 data_time: 0.0228 memory: 17350 grad_norm: 6.7447 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0274 loss: 1.0274 2022/07/23 19:18:40 - mmengine - INFO - Epoch(train) [57][2880/3757] lr: 1.0000e-03 eta: 1 day, 6:10:10 time: 0.6634 data_time: 0.0228 memory: 17350 grad_norm: 6.6235 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2120 loss: 1.2120 2022/07/23 19:18:54 - mmengine - INFO - Epoch(train) [57][2900/3757] lr: 1.0000e-03 eta: 1 day, 6:09:57 time: 0.6850 data_time: 0.0250 memory: 17350 grad_norm: 6.9259 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1962 loss: 1.1962 2022/07/23 19:19:07 - mmengine - INFO - Epoch(train) [57][2920/3757] lr: 1.0000e-03 eta: 1 day, 6:09:43 time: 0.6424 data_time: 0.0225 memory: 17350 grad_norm: 7.0557 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2875 loss: 1.2875 2022/07/23 19:19:21 - mmengine - INFO - Epoch(train) [57][2940/3757] lr: 1.0000e-03 eta: 1 day, 6:09:31 time: 0.7127 data_time: 0.0225 memory: 17350 grad_norm: 6.7443 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0701 loss: 1.0701 2022/07/23 19:19:33 - mmengine - INFO - Epoch(train) [57][2960/3757] lr: 1.0000e-03 eta: 1 day, 6:09:16 time: 0.6126 data_time: 0.0375 memory: 17350 grad_norm: 6.8279 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1137 loss: 1.1137 2022/07/23 19:19:47 - mmengine - INFO - Epoch(train) [57][2980/3757] lr: 1.0000e-03 eta: 1 day, 6:09:03 time: 0.6876 data_time: 0.0225 memory: 17350 grad_norm: 6.8689 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1672 loss: 1.1672 2022/07/23 19:20:00 - mmengine - INFO - Epoch(train) [57][3000/3757] lr: 1.0000e-03 eta: 1 day, 6:08:49 time: 0.6378 data_time: 0.0250 memory: 17350 grad_norm: 6.9483 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1405 loss: 1.1405 2022/07/23 19:20:14 - mmengine - INFO - Epoch(train) [57][3020/3757] lr: 1.0000e-03 eta: 1 day, 6:08:36 time: 0.6846 data_time: 0.0236 memory: 17350 grad_norm: 7.0870 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5221 loss: 1.5221 2022/07/23 19:20:26 - mmengine - INFO - Epoch(train) [57][3040/3757] lr: 1.0000e-03 eta: 1 day, 6:08:22 time: 0.6260 data_time: 0.0230 memory: 17350 grad_norm: 7.2020 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3945 loss: 1.3945 2022/07/23 19:20:40 - mmengine - INFO - Epoch(train) [57][3060/3757] lr: 1.0000e-03 eta: 1 day, 6:08:09 time: 0.6831 data_time: 0.0233 memory: 17350 grad_norm: 7.1274 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5263 loss: 1.5263 2022/07/23 19:20:52 - mmengine - INFO - Epoch(train) [57][3080/3757] lr: 1.0000e-03 eta: 1 day, 6:07:55 time: 0.6140 data_time: 0.0226 memory: 17350 grad_norm: 7.1737 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2937 loss: 1.2937 2022/07/23 19:21:07 - mmengine - INFO - Epoch(train) [57][3100/3757] lr: 1.0000e-03 eta: 1 day, 6:07:43 time: 0.7421 data_time: 0.0234 memory: 17350 grad_norm: 6.8151 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2459 loss: 1.2459 2022/07/23 19:21:19 - mmengine - INFO - Epoch(train) [57][3120/3757] lr: 1.0000e-03 eta: 1 day, 6:07:28 time: 0.5973 data_time: 0.0249 memory: 17350 grad_norm: 7.1521 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5390 loss: 1.5390 2022/07/23 19:21:33 - mmengine - INFO - Epoch(train) [57][3140/3757] lr: 1.0000e-03 eta: 1 day, 6:07:16 time: 0.7233 data_time: 0.0237 memory: 17350 grad_norm: 6.8340 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4702 loss: 1.4702 2022/07/23 19:21:46 - mmengine - INFO - Epoch(train) [57][3160/3757] lr: 1.0000e-03 eta: 1 day, 6:07:02 time: 0.6196 data_time: 0.0346 memory: 17350 grad_norm: 6.5608 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2658 loss: 1.2658 2022/07/23 19:22:01 - mmengine - INFO - Epoch(train) [57][3180/3757] lr: 1.0000e-03 eta: 1 day, 6:06:49 time: 0.7542 data_time: 0.0214 memory: 17350 grad_norm: 6.8437 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1108 loss: 1.1108 2022/07/23 19:22:13 - mmengine - INFO - Epoch(train) [57][3200/3757] lr: 1.0000e-03 eta: 1 day, 6:06:35 time: 0.6096 data_time: 0.0257 memory: 17350 grad_norm: 6.6332 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1078 loss: 1.1078 2022/07/23 19:22:27 - mmengine - INFO - Epoch(train) [57][3220/3757] lr: 1.0000e-03 eta: 1 day, 6:06:23 time: 0.7139 data_time: 0.0223 memory: 17350 grad_norm: 6.9156 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0903 loss: 1.0903 2022/07/23 19:22:40 - mmengine - INFO - Epoch(train) [57][3240/3757] lr: 1.0000e-03 eta: 1 day, 6:06:08 time: 0.6129 data_time: 0.0226 memory: 17350 grad_norm: 6.9414 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0967 loss: 1.0967 2022/07/23 19:22:54 - mmengine - INFO - Epoch(train) [57][3260/3757] lr: 1.0000e-03 eta: 1 day, 6:05:56 time: 0.7400 data_time: 0.0220 memory: 17350 grad_norm: 7.0518 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1169 loss: 1.1169 2022/07/23 19:23:07 - mmengine - INFO - Epoch(train) [57][3280/3757] lr: 1.0000e-03 eta: 1 day, 6:05:42 time: 0.6301 data_time: 0.0323 memory: 17350 grad_norm: 6.8982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2349 loss: 1.2349 2022/07/23 19:23:21 - mmengine - INFO - Epoch(train) [57][3300/3757] lr: 1.0000e-03 eta: 1 day, 6:05:29 time: 0.7099 data_time: 0.0203 memory: 17350 grad_norm: 7.0740 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1849 loss: 1.1849 2022/07/23 19:23:32 - mmengine - INFO - Epoch(train) [57][3320/3757] lr: 1.0000e-03 eta: 1 day, 6:05:14 time: 0.5579 data_time: 0.0265 memory: 17350 grad_norm: 6.7348 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3205 loss: 1.3205 2022/07/23 19:23:47 - mmengine - INFO - Epoch(train) [57][3340/3757] lr: 1.0000e-03 eta: 1 day, 6:05:02 time: 0.7460 data_time: 0.0234 memory: 17350 grad_norm: 7.1510 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3055 loss: 1.3055 2022/07/23 19:24:00 - mmengine - INFO - Epoch(train) [57][3360/3757] lr: 1.0000e-03 eta: 1 day, 6:04:48 time: 0.6247 data_time: 0.0221 memory: 17350 grad_norm: 7.0035 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1400 loss: 1.1400 2022/07/23 19:24:13 - mmengine - INFO - Epoch(train) [57][3380/3757] lr: 1.0000e-03 eta: 1 day, 6:04:34 time: 0.6513 data_time: 0.0197 memory: 17350 grad_norm: 6.9836 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1504 loss: 1.1504 2022/07/23 19:24:28 - mmengine - INFO - Epoch(train) [57][3400/3757] lr: 1.0000e-03 eta: 1 day, 6:04:22 time: 0.7552 data_time: 0.0259 memory: 17350 grad_norm: 6.8916 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2063 loss: 1.2063 2022/07/23 19:24:41 - mmengine - INFO - Epoch(train) [57][3420/3757] lr: 1.0000e-03 eta: 1 day, 6:04:08 time: 0.6396 data_time: 0.0236 memory: 17350 grad_norm: 6.7146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0816 loss: 1.0816 2022/07/23 19:24:53 - mmengine - INFO - Epoch(train) [57][3440/3757] lr: 1.0000e-03 eta: 1 day, 6:03:54 time: 0.6188 data_time: 0.0220 memory: 17350 grad_norm: 6.8311 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2601 loss: 1.2601 2022/07/23 19:25:07 - mmengine - INFO - Epoch(train) [57][3460/3757] lr: 1.0000e-03 eta: 1 day, 6:03:41 time: 0.6920 data_time: 0.0213 memory: 17350 grad_norm: 7.0108 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1568 loss: 1.1568 2022/07/23 19:25:21 - mmengine - INFO - Epoch(train) [57][3480/3757] lr: 1.0000e-03 eta: 1 day, 6:03:28 time: 0.6924 data_time: 0.0234 memory: 17350 grad_norm: 6.8400 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6167 loss: 1.6167 2022/07/23 19:25:33 - mmengine - INFO - Epoch(train) [57][3500/3757] lr: 1.0000e-03 eta: 1 day, 6:03:14 time: 0.6110 data_time: 0.0215 memory: 17350 grad_norm: 6.9159 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2935 loss: 1.2935 2022/07/23 19:25:48 - mmengine - INFO - Epoch(train) [57][3520/3757] lr: 1.0000e-03 eta: 1 day, 6:03:02 time: 0.7329 data_time: 0.0234 memory: 17350 grad_norm: 6.7188 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2012 loss: 1.2012 2022/07/23 19:26:01 - mmengine - INFO - Epoch(train) [57][3540/3757] lr: 1.0000e-03 eta: 1 day, 6:02:48 time: 0.6362 data_time: 0.0231 memory: 17350 grad_norm: 6.7227 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2505 loss: 1.2505 2022/07/23 19:26:15 - mmengine - INFO - Epoch(train) [57][3560/3757] lr: 1.0000e-03 eta: 1 day, 6:02:35 time: 0.7200 data_time: 0.0230 memory: 17350 grad_norm: 7.2026 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0532 loss: 1.0532 2022/07/23 19:26:28 - mmengine - INFO - Epoch(train) [57][3580/3757] lr: 1.0000e-03 eta: 1 day, 6:02:21 time: 0.6392 data_time: 0.0235 memory: 17350 grad_norm: 7.2926 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4531 loss: 1.4531 2022/07/23 19:26:42 - mmengine - INFO - Epoch(train) [57][3600/3757] lr: 1.0000e-03 eta: 1 day, 6:02:09 time: 0.7032 data_time: 0.0217 memory: 17350 grad_norm: 6.9057 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3513 loss: 1.3513 2022/07/23 19:26:47 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 19:26:54 - mmengine - INFO - Epoch(train) [57][3620/3757] lr: 1.0000e-03 eta: 1 day, 6:01:54 time: 0.5906 data_time: 0.0238 memory: 17350 grad_norm: 6.9944 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1636 loss: 1.1636 2022/07/23 19:27:09 - mmengine - INFO - Epoch(train) [57][3640/3757] lr: 1.0000e-03 eta: 1 day, 6:01:42 time: 0.7628 data_time: 0.0229 memory: 17350 grad_norm: 6.9760 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1577 loss: 1.1577 2022/07/23 19:27:21 - mmengine - INFO - Epoch(train) [57][3660/3757] lr: 1.0000e-03 eta: 1 day, 6:01:28 time: 0.6282 data_time: 0.0210 memory: 17350 grad_norm: 6.8859 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0985 loss: 1.0985 2022/07/23 19:27:34 - mmengine - INFO - Epoch(train) [57][3680/3757] lr: 1.0000e-03 eta: 1 day, 6:01:14 time: 0.6179 data_time: 0.0229 memory: 17350 grad_norm: 7.2586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2550 loss: 1.2550 2022/07/23 19:27:47 - mmengine - INFO - Epoch(train) [57][3700/3757] lr: 1.0000e-03 eta: 1 day, 6:01:00 time: 0.6570 data_time: 0.0239 memory: 17350 grad_norm: 6.9564 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0778 loss: 1.0778 2022/07/23 19:27:59 - mmengine - INFO - Epoch(train) [57][3720/3757] lr: 1.0000e-03 eta: 1 day, 6:00:46 time: 0.6210 data_time: 0.0224 memory: 17350 grad_norm: 6.8546 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2366 loss: 1.2366 2022/07/23 19:28:12 - mmengine - INFO - Epoch(train) [57][3740/3757] lr: 1.0000e-03 eta: 1 day, 6:00:33 time: 0.6460 data_time: 0.0218 memory: 17350 grad_norm: 6.8913 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3073 loss: 1.3073 2022/07/23 19:28:21 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 19:28:21 - mmengine - INFO - Epoch(train) [57][3757/3757] lr: 1.0000e-03 eta: 1 day, 6:00:33 time: 0.5290 data_time: 0.0217 memory: 17350 grad_norm: 7.0668 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0931 loss: 1.0931 2022/07/23 19:28:38 - mmengine - INFO - Epoch(val) [57][20/310] eta: 0:03:58 time: 0.8225 data_time: 0.7081 memory: 3406 2022/07/23 19:28:49 - mmengine - INFO - Epoch(val) [57][40/310] eta: 0:02:29 time: 0.5550 data_time: 0.4415 memory: 3406 2022/07/23 19:29:04 - mmengine - INFO - Epoch(val) [57][60/310] eta: 0:03:11 time: 0.7647 data_time: 0.6472 memory: 3406 2022/07/23 19:29:15 - mmengine - INFO - Epoch(val) [57][80/310] eta: 0:02:06 time: 0.5518 data_time: 0.4399 memory: 3406 2022/07/23 19:29:31 - mmengine - INFO - Epoch(val) [57][100/310] eta: 0:02:40 time: 0.7656 data_time: 0.6524 memory: 3406 2022/07/23 19:29:42 - mmengine - INFO - Epoch(val) [57][120/310] eta: 0:01:47 time: 0.5636 data_time: 0.4519 memory: 3406 2022/07/23 19:29:56 - mmengine - INFO - Epoch(val) [57][140/310] eta: 0:02:02 time: 0.7197 data_time: 0.6083 memory: 3406 2022/07/23 19:30:09 - mmengine - INFO - Epoch(val) [57][160/310] eta: 0:01:34 time: 0.6281 data_time: 0.5120 memory: 3406 2022/07/23 19:30:22 - mmengine - INFO - Epoch(val) [57][180/310] eta: 0:01:26 time: 0.6688 data_time: 0.5562 memory: 3406 2022/07/23 19:30:35 - mmengine - INFO - Epoch(val) [57][200/310] eta: 0:01:12 time: 0.6580 data_time: 0.5456 memory: 3406 2022/07/23 19:30:49 - mmengine - INFO - Epoch(val) [57][220/310] eta: 0:01:00 time: 0.6674 data_time: 0.5539 memory: 3406 2022/07/23 19:31:01 - mmengine - INFO - Epoch(val) [57][240/310] eta: 0:00:43 time: 0.6211 data_time: 0.5087 memory: 3406 2022/07/23 19:31:15 - mmengine - INFO - Epoch(val) [57][260/310] eta: 0:00:34 time: 0.6878 data_time: 0.5752 memory: 3406 2022/07/23 19:31:27 - mmengine - INFO - Epoch(val) [57][280/310] eta: 0:00:17 time: 0.5979 data_time: 0.4847 memory: 3406 2022/07/23 19:31:42 - mmengine - INFO - Epoch(val) [57][300/310] eta: 0:00:07 time: 0.7641 data_time: 0.6505 memory: 3406 2022/07/23 19:31:49 - mmengine - INFO - Epoch(val) [57][310/310] acc/top1: 0.6767 acc/top5: 0.8727 acc/mean1: 0.6765 2022/07/23 19:31:49 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_56.pth is removed 2022/07/23 19:31:51 - mmengine - INFO - The best checkpoint with 0.6767 acc/top1 at 58 epoch is saved to best_acc/top1_epoch_58.pth. 2022/07/23 19:32:08 - mmengine - INFO - Epoch(train) [58][20/3757] lr: 1.0000e-03 eta: 1 day, 6:00:02 time: 0.8626 data_time: 0.5321 memory: 17350 grad_norm: 6.8298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0495 loss: 1.0495 2022/07/23 19:32:21 - mmengine - INFO - Epoch(train) [58][40/3757] lr: 1.0000e-03 eta: 1 day, 5:59:48 time: 0.6042 data_time: 0.2795 memory: 17350 grad_norm: 7.0606 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1008 loss: 1.1008 2022/07/23 19:32:36 - mmengine - INFO - Epoch(train) [58][60/3757] lr: 1.0000e-03 eta: 1 day, 5:59:36 time: 0.7616 data_time: 0.4364 memory: 17350 grad_norm: 6.8881 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1843 loss: 1.1843 2022/07/23 19:32:48 - mmengine - INFO - Epoch(train) [58][80/3757] lr: 1.0000e-03 eta: 1 day, 5:59:22 time: 0.6247 data_time: 0.2931 memory: 17350 grad_norm: 6.8331 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3142 loss: 1.3142 2022/07/23 19:33:02 - mmengine - INFO - Epoch(train) [58][100/3757] lr: 1.0000e-03 eta: 1 day, 5:59:08 time: 0.6710 data_time: 0.3056 memory: 17350 grad_norm: 7.1999 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2926 loss: 1.2926 2022/07/23 19:33:14 - mmengine - INFO - Epoch(train) [58][120/3757] lr: 1.0000e-03 eta: 1 day, 5:58:54 time: 0.6192 data_time: 0.2368 memory: 17350 grad_norm: 7.0265 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1066 loss: 1.1066 2022/07/23 19:33:29 - mmengine - INFO - Epoch(train) [58][140/3757] lr: 1.0000e-03 eta: 1 day, 5:58:42 time: 0.7387 data_time: 0.3241 memory: 17350 grad_norm: 6.7502 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9687 loss: 0.9687 2022/07/23 19:33:41 - mmengine - INFO - Epoch(train) [58][160/3757] lr: 1.0000e-03 eta: 1 day, 5:58:28 time: 0.6008 data_time: 0.2670 memory: 17350 grad_norm: 6.4266 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0365 loss: 1.0365 2022/07/23 19:33:55 - mmengine - INFO - Epoch(train) [58][180/3757] lr: 1.0000e-03 eta: 1 day, 5:58:15 time: 0.7257 data_time: 0.4004 memory: 17350 grad_norm: 6.7953 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2444 loss: 1.2444 2022/07/23 19:34:08 - mmengine - INFO - Epoch(train) [58][200/3757] lr: 1.0000e-03 eta: 1 day, 5:58:01 time: 0.6238 data_time: 0.2767 memory: 17350 grad_norm: 7.0057 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1274 loss: 1.1274 2022/07/23 19:34:21 - mmengine - INFO - Epoch(train) [58][220/3757] lr: 1.0000e-03 eta: 1 day, 5:57:47 time: 0.6490 data_time: 0.3242 memory: 17350 grad_norm: 6.6506 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1365 loss: 1.1365 2022/07/23 19:34:34 - mmengine - INFO - Epoch(train) [58][240/3757] lr: 1.0000e-03 eta: 1 day, 5:57:34 time: 0.6673 data_time: 0.2899 memory: 17350 grad_norm: 7.1148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9335 loss: 0.9335 2022/07/23 19:34:48 - mmengine - INFO - Epoch(train) [58][260/3757] lr: 1.0000e-03 eta: 1 day, 5:57:21 time: 0.6971 data_time: 0.3463 memory: 17350 grad_norm: 6.7846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3700 loss: 1.3700 2022/07/23 19:35:01 - mmengine - INFO - Epoch(train) [58][280/3757] lr: 1.0000e-03 eta: 1 day, 5:57:08 time: 0.6593 data_time: 0.2611 memory: 17350 grad_norm: 7.1814 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2605 loss: 1.2605 2022/07/23 19:35:16 - mmengine - INFO - Epoch(train) [58][300/3757] lr: 1.0000e-03 eta: 1 day, 5:56:55 time: 0.7265 data_time: 0.3779 memory: 17350 grad_norm: 6.7301 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1098 loss: 1.1098 2022/07/23 19:35:29 - mmengine - INFO - Epoch(train) [58][320/3757] lr: 1.0000e-03 eta: 1 day, 5:56:41 time: 0.6274 data_time: 0.1979 memory: 17350 grad_norm: 6.7351 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9590 loss: 0.9590 2022/07/23 19:35:43 - mmengine - INFO - Epoch(train) [58][340/3757] lr: 1.0000e-03 eta: 1 day, 5:56:29 time: 0.7304 data_time: 0.0597 memory: 17350 grad_norm: 6.8340 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1184 loss: 1.1184 2022/07/23 19:35:56 - mmengine - INFO - Epoch(train) [58][360/3757] lr: 1.0000e-03 eta: 1 day, 5:56:15 time: 0.6298 data_time: 0.0241 memory: 17350 grad_norm: 7.0223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1458 loss: 1.1458 2022/07/23 19:36:10 - mmengine - INFO - Epoch(train) [58][380/3757] lr: 1.0000e-03 eta: 1 day, 5:56:02 time: 0.7117 data_time: 0.0250 memory: 17350 grad_norm: 6.8069 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0283 loss: 1.0283 2022/07/23 19:36:22 - mmengine - INFO - Epoch(train) [58][400/3757] lr: 1.0000e-03 eta: 1 day, 5:55:47 time: 0.5736 data_time: 0.0223 memory: 17350 grad_norm: 6.7275 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1503 loss: 1.1503 2022/07/23 19:36:36 - mmengine - INFO - Epoch(train) [58][420/3757] lr: 1.0000e-03 eta: 1 day, 5:55:35 time: 0.7325 data_time: 0.0228 memory: 17350 grad_norm: 7.2477 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3375 loss: 1.3375 2022/07/23 19:36:48 - mmengine - INFO - Epoch(train) [58][440/3757] lr: 1.0000e-03 eta: 1 day, 5:55:20 time: 0.5806 data_time: 0.0230 memory: 17350 grad_norm: 6.7200 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2185 loss: 1.2185 2022/07/23 19:37:02 - mmengine - INFO - Epoch(train) [58][460/3757] lr: 1.0000e-03 eta: 1 day, 5:55:07 time: 0.7219 data_time: 0.0232 memory: 17350 grad_norm: 6.9026 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0961 loss: 1.0961 2022/07/23 19:37:14 - mmengine - INFO - Epoch(train) [58][480/3757] lr: 1.0000e-03 eta: 1 day, 5:54:53 time: 0.6064 data_time: 0.0220 memory: 17350 grad_norm: 7.0433 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2865 loss: 1.2865 2022/07/23 19:37:30 - mmengine - INFO - Epoch(train) [58][500/3757] lr: 1.0000e-03 eta: 1 day, 5:54:41 time: 0.7600 data_time: 0.0239 memory: 17350 grad_norm: 6.6949 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8591 loss: 0.8591 2022/07/23 19:37:42 - mmengine - INFO - Epoch(train) [58][520/3757] lr: 1.0000e-03 eta: 1 day, 5:54:27 time: 0.6370 data_time: 0.0256 memory: 17350 grad_norm: 7.4198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1112 loss: 1.1112 2022/07/23 19:37:56 - mmengine - INFO - Epoch(train) [58][540/3757] lr: 1.0000e-03 eta: 1 day, 5:54:14 time: 0.6838 data_time: 0.0221 memory: 17350 grad_norm: 7.3366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2777 loss: 1.2777 2022/07/23 19:38:07 - mmengine - INFO - Epoch(train) [58][560/3757] lr: 1.0000e-03 eta: 1 day, 5:53:59 time: 0.5489 data_time: 0.0228 memory: 17350 grad_norm: 6.8451 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0776 loss: 1.0776 2022/07/23 19:38:22 - mmengine - INFO - Epoch(train) [58][580/3757] lr: 1.0000e-03 eta: 1 day, 5:53:47 time: 0.7343 data_time: 0.0214 memory: 17350 grad_norm: 6.9318 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9430 loss: 0.9430 2022/07/23 19:38:34 - mmengine - INFO - Epoch(train) [58][600/3757] lr: 1.0000e-03 eta: 1 day, 5:53:32 time: 0.5943 data_time: 0.0229 memory: 17350 grad_norm: 7.2371 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1152 loss: 1.1152 2022/07/23 19:38:47 - mmengine - INFO - Epoch(train) [58][620/3757] lr: 1.0000e-03 eta: 1 day, 5:53:19 time: 0.6759 data_time: 0.0221 memory: 17350 grad_norm: 7.1436 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3284 loss: 1.3284 2022/07/23 19:39:00 - mmengine - INFO - Epoch(train) [58][640/3757] lr: 1.0000e-03 eta: 1 day, 5:53:05 time: 0.6207 data_time: 0.0292 memory: 17350 grad_norm: 7.0669 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3804 loss: 1.3804 2022/07/23 19:39:15 - mmengine - INFO - Epoch(train) [58][660/3757] lr: 1.0000e-03 eta: 1 day, 5:52:53 time: 0.7566 data_time: 0.0229 memory: 17350 grad_norm: 6.7818 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1646 loss: 1.1646 2022/07/23 19:39:28 - mmengine - INFO - Epoch(train) [58][680/3757] lr: 1.0000e-03 eta: 1 day, 5:52:39 time: 0.6681 data_time: 0.0217 memory: 17350 grad_norm: 7.0033 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4280 loss: 1.4280 2022/07/23 19:39:42 - mmengine - INFO - Epoch(train) [58][700/3757] lr: 1.0000e-03 eta: 1 day, 5:52:27 time: 0.7125 data_time: 0.0215 memory: 17350 grad_norm: 6.9610 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1636 loss: 1.1636 2022/07/23 19:39:54 - mmengine - INFO - Epoch(train) [58][720/3757] lr: 1.0000e-03 eta: 1 day, 5:52:12 time: 0.5915 data_time: 0.0247 memory: 17350 grad_norm: 6.8823 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2289 loss: 1.2289 2022/07/23 19:40:09 - mmengine - INFO - Epoch(train) [58][740/3757] lr: 1.0000e-03 eta: 1 day, 5:52:00 time: 0.7254 data_time: 0.1010 memory: 17350 grad_norm: 7.0778 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3575 loss: 1.3575 2022/07/23 19:40:21 - mmengine - INFO - Epoch(train) [58][760/3757] lr: 1.0000e-03 eta: 1 day, 5:51:45 time: 0.6071 data_time: 0.0244 memory: 17350 grad_norm: 6.8561 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1150 loss: 1.1150 2022/07/23 19:40:36 - mmengine - INFO - Epoch(train) [58][780/3757] lr: 1.0000e-03 eta: 1 day, 5:51:33 time: 0.7528 data_time: 0.0220 memory: 17350 grad_norm: 6.8913 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2642 loss: 1.2642 2022/07/23 19:40:48 - mmengine - INFO - Epoch(train) [58][800/3757] lr: 1.0000e-03 eta: 1 day, 5:51:19 time: 0.6110 data_time: 0.0208 memory: 17350 grad_norm: 6.8487 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3144 loss: 1.3144 2022/07/23 19:41:03 - mmengine - INFO - Epoch(train) [58][820/3757] lr: 1.0000e-03 eta: 1 day, 5:51:06 time: 0.7234 data_time: 0.0223 memory: 17350 grad_norm: 6.9116 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3611 loss: 1.3611 2022/07/23 19:41:14 - mmengine - INFO - Epoch(train) [58][840/3757] lr: 1.0000e-03 eta: 1 day, 5:50:52 time: 0.5836 data_time: 0.0253 memory: 17350 grad_norm: 7.0907 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1747 loss: 1.1747 2022/07/23 19:41:24 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 19:41:30 - mmengine - INFO - Epoch(train) [58][860/3757] lr: 1.0000e-03 eta: 1 day, 5:50:40 time: 0.7955 data_time: 0.0253 memory: 17350 grad_norm: 7.1181 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4129 loss: 1.4129 2022/07/23 19:41:41 - mmengine - INFO - Epoch(train) [58][880/3757] lr: 1.0000e-03 eta: 1 day, 5:50:25 time: 0.5543 data_time: 0.0256 memory: 17350 grad_norm: 7.1260 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3032 loss: 1.3032 2022/07/23 19:41:56 - mmengine - INFO - Epoch(train) [58][900/3757] lr: 1.0000e-03 eta: 1 day, 5:50:13 time: 0.7326 data_time: 0.0274 memory: 17350 grad_norm: 6.8972 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1885 loss: 1.1885 2022/07/23 19:42:08 - mmengine - INFO - Epoch(train) [58][920/3757] lr: 1.0000e-03 eta: 1 day, 5:49:58 time: 0.5796 data_time: 0.0231 memory: 17350 grad_norm: 6.8820 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5669 loss: 1.5669 2022/07/23 19:42:23 - mmengine - INFO - Epoch(train) [58][940/3757] lr: 1.0000e-03 eta: 1 day, 5:49:47 time: 0.7900 data_time: 0.0222 memory: 17350 grad_norm: 7.1645 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6092 loss: 1.6092 2022/07/23 19:42:36 - mmengine - INFO - Epoch(train) [58][960/3757] lr: 1.0000e-03 eta: 1 day, 5:49:32 time: 0.6090 data_time: 0.0225 memory: 17350 grad_norm: 7.2260 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9807 loss: 0.9807 2022/07/23 19:42:50 - mmengine - INFO - Epoch(train) [58][980/3757] lr: 1.0000e-03 eta: 1 day, 5:49:19 time: 0.7021 data_time: 0.0240 memory: 17350 grad_norm: 6.9719 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3770 loss: 1.3770 2022/07/23 19:43:02 - mmengine - INFO - Epoch(train) [58][1000/3757] lr: 1.0000e-03 eta: 1 day, 5:49:05 time: 0.6017 data_time: 0.0251 memory: 17350 grad_norm: 6.7417 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0638 loss: 1.0638 2022/07/23 19:43:16 - mmengine - INFO - Epoch(train) [58][1020/3757] lr: 1.0000e-03 eta: 1 day, 5:48:52 time: 0.7144 data_time: 0.0225 memory: 17350 grad_norm: 6.8295 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8822 loss: 0.8822 2022/07/23 19:43:27 - mmengine - INFO - Epoch(train) [58][1040/3757] lr: 1.0000e-03 eta: 1 day, 5:48:37 time: 0.5576 data_time: 0.0225 memory: 17350 grad_norm: 7.0259 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2363 loss: 1.2363 2022/07/23 19:43:42 - mmengine - INFO - Epoch(train) [58][1060/3757] lr: 1.0000e-03 eta: 1 day, 5:48:25 time: 0.7304 data_time: 0.0213 memory: 17350 grad_norm: 6.8665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0766 loss: 1.0766 2022/07/23 19:43:54 - mmengine - INFO - Epoch(train) [58][1080/3757] lr: 1.0000e-03 eta: 1 day, 5:48:11 time: 0.6145 data_time: 0.0222 memory: 17350 grad_norm: 6.9550 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2369 loss: 1.2369 2022/07/23 19:44:08 - mmengine - INFO - Epoch(train) [58][1100/3757] lr: 1.0000e-03 eta: 1 day, 5:47:58 time: 0.7086 data_time: 0.0221 memory: 17350 grad_norm: 6.8056 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2383 loss: 1.2383 2022/07/23 19:44:22 - mmengine - INFO - Epoch(train) [58][1120/3757] lr: 1.0000e-03 eta: 1 day, 5:47:44 time: 0.6596 data_time: 0.0285 memory: 17350 grad_norm: 7.5019 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0854 loss: 1.0854 2022/07/23 19:44:36 - mmengine - INFO - Epoch(train) [58][1140/3757] lr: 1.0000e-03 eta: 1 day, 5:47:32 time: 0.7348 data_time: 0.0231 memory: 17350 grad_norm: 6.8496 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2879 loss: 1.2879 2022/07/23 19:44:48 - mmengine - INFO - Epoch(train) [58][1160/3757] lr: 1.0000e-03 eta: 1 day, 5:47:18 time: 0.6011 data_time: 0.0226 memory: 17350 grad_norm: 7.1149 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3413 loss: 1.3413 2022/07/23 19:45:03 - mmengine - INFO - Epoch(train) [58][1180/3757] lr: 1.0000e-03 eta: 1 day, 5:47:05 time: 0.7174 data_time: 0.0214 memory: 17350 grad_norm: 6.6413 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4186 loss: 1.4186 2022/07/23 19:45:16 - mmengine - INFO - Epoch(train) [58][1200/3757] lr: 1.0000e-03 eta: 1 day, 5:46:52 time: 0.6697 data_time: 0.0264 memory: 17350 grad_norm: 6.9784 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0650 loss: 1.0650 2022/07/23 19:45:30 - mmengine - INFO - Epoch(train) [58][1220/3757] lr: 1.0000e-03 eta: 1 day, 5:46:39 time: 0.6885 data_time: 0.0225 memory: 17350 grad_norm: 7.0806 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1689 loss: 1.1689 2022/07/23 19:45:41 - mmengine - INFO - Epoch(train) [58][1240/3757] lr: 1.0000e-03 eta: 1 day, 5:46:24 time: 0.5701 data_time: 0.0209 memory: 17350 grad_norm: 6.7360 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0625 loss: 1.0625 2022/07/23 19:45:56 - mmengine - INFO - Epoch(train) [58][1260/3757] lr: 1.0000e-03 eta: 1 day, 5:46:11 time: 0.7387 data_time: 0.0250 memory: 17350 grad_norm: 7.0220 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1246 loss: 1.1246 2022/07/23 19:46:08 - mmengine - INFO - Epoch(train) [58][1280/3757] lr: 1.0000e-03 eta: 1 day, 5:45:57 time: 0.5893 data_time: 0.0221 memory: 17350 grad_norm: 7.1295 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1254 loss: 1.1254 2022/07/23 19:46:22 - mmengine - INFO - Epoch(train) [58][1300/3757] lr: 1.0000e-03 eta: 1 day, 5:45:44 time: 0.7114 data_time: 0.0205 memory: 17350 grad_norm: 6.8753 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1384 loss: 1.1384 2022/07/23 19:46:35 - mmengine - INFO - Epoch(train) [58][1320/3757] lr: 1.0000e-03 eta: 1 day, 5:45:30 time: 0.6464 data_time: 0.0249 memory: 17350 grad_norm: 7.0171 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3548 loss: 1.3548 2022/07/23 19:46:48 - mmengine - INFO - Epoch(train) [58][1340/3757] lr: 1.0000e-03 eta: 1 day, 5:45:17 time: 0.6689 data_time: 0.0220 memory: 17350 grad_norm: 6.9058 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0904 loss: 1.0904 2022/07/23 19:47:02 - mmengine - INFO - Epoch(train) [58][1360/3757] lr: 1.0000e-03 eta: 1 day, 5:45:04 time: 0.6676 data_time: 0.0233 memory: 17350 grad_norm: 7.1613 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2735 loss: 1.2735 2022/07/23 19:47:16 - mmengine - INFO - Epoch(train) [58][1380/3757] lr: 1.0000e-03 eta: 1 day, 5:44:51 time: 0.7200 data_time: 0.0223 memory: 17350 grad_norm: 7.1379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2809 loss: 1.2809 2022/07/23 19:47:28 - mmengine - INFO - Epoch(train) [58][1400/3757] lr: 1.0000e-03 eta: 1 day, 5:44:37 time: 0.6019 data_time: 0.0237 memory: 17350 grad_norm: 6.9167 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9688 loss: 0.9688 2022/07/23 19:47:43 - mmengine - INFO - Epoch(train) [58][1420/3757] lr: 1.0000e-03 eta: 1 day, 5:44:25 time: 0.7499 data_time: 0.0207 memory: 17350 grad_norm: 6.6208 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3270 loss: 1.3270 2022/07/23 19:47:54 - mmengine - INFO - Epoch(train) [58][1440/3757] lr: 1.0000e-03 eta: 1 day, 5:44:09 time: 0.5274 data_time: 0.0225 memory: 17350 grad_norm: 6.9669 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1704 loss: 1.1704 2022/07/23 19:48:09 - mmengine - INFO - Epoch(train) [58][1460/3757] lr: 1.0000e-03 eta: 1 day, 5:43:57 time: 0.7601 data_time: 0.0215 memory: 17350 grad_norm: 6.7761 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3023 loss: 1.3023 2022/07/23 19:48:21 - mmengine - INFO - Epoch(train) [58][1480/3757] lr: 1.0000e-03 eta: 1 day, 5:43:42 time: 0.5799 data_time: 0.0236 memory: 17350 grad_norm: 6.7234 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4518 loss: 1.4518 2022/07/23 19:48:35 - mmengine - INFO - Epoch(train) [58][1500/3757] lr: 1.0000e-03 eta: 1 day, 5:43:30 time: 0.7319 data_time: 0.0235 memory: 17350 grad_norm: 7.2943 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2862 loss: 1.2862 2022/07/23 19:48:47 - mmengine - INFO - Epoch(train) [58][1520/3757] lr: 1.0000e-03 eta: 1 day, 5:43:16 time: 0.6050 data_time: 0.0266 memory: 17350 grad_norm: 7.1385 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3513 loss: 1.3513 2022/07/23 19:49:01 - mmengine - INFO - Epoch(train) [58][1540/3757] lr: 1.0000e-03 eta: 1 day, 5:43:02 time: 0.6689 data_time: 0.0233 memory: 17350 grad_norm: 7.1492 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1810 loss: 1.1810 2022/07/23 19:49:14 - mmengine - INFO - Epoch(train) [58][1560/3757] lr: 1.0000e-03 eta: 1 day, 5:42:49 time: 0.6499 data_time: 0.0221 memory: 17350 grad_norm: 7.2080 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2166 loss: 1.2166 2022/07/23 19:49:29 - mmengine - INFO - Epoch(train) [58][1580/3757] lr: 1.0000e-03 eta: 1 day, 5:42:37 time: 0.7643 data_time: 0.0269 memory: 17350 grad_norm: 7.2406 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3084 loss: 1.3084 2022/07/23 19:49:42 - mmengine - INFO - Epoch(train) [58][1600/3757] lr: 1.0000e-03 eta: 1 day, 5:42:23 time: 0.6199 data_time: 0.0225 memory: 17350 grad_norm: 6.8984 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1740 loss: 1.1740 2022/07/23 19:49:56 - mmengine - INFO - Epoch(train) [58][1620/3757] lr: 1.0000e-03 eta: 1 day, 5:42:10 time: 0.7357 data_time: 0.0232 memory: 17350 grad_norm: 6.7816 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1354 loss: 1.1354 2022/07/23 19:50:08 - mmengine - INFO - Epoch(train) [58][1640/3757] lr: 1.0000e-03 eta: 1 day, 5:41:56 time: 0.6015 data_time: 0.0228 memory: 17350 grad_norm: 7.1283 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2852 loss: 1.2852 2022/07/23 19:50:22 - mmengine - INFO - Epoch(train) [58][1660/3757] lr: 1.0000e-03 eta: 1 day, 5:41:43 time: 0.7045 data_time: 0.0211 memory: 17350 grad_norm: 7.0057 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0973 loss: 1.0973 2022/07/23 19:50:34 - mmengine - INFO - Epoch(train) [58][1680/3757] lr: 1.0000e-03 eta: 1 day, 5:41:28 time: 0.5852 data_time: 0.0225 memory: 17350 grad_norm: 6.9951 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3221 loss: 1.3221 2022/07/23 19:50:49 - mmengine - INFO - Epoch(train) [58][1700/3757] lr: 1.0000e-03 eta: 1 day, 5:41:16 time: 0.7498 data_time: 0.0201 memory: 17350 grad_norm: 6.8915 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2660 loss: 1.2660 2022/07/23 19:51:02 - mmengine - INFO - Epoch(train) [58][1720/3757] lr: 1.0000e-03 eta: 1 day, 5:41:02 time: 0.6280 data_time: 0.0226 memory: 17350 grad_norm: 6.9701 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3270 loss: 1.3270 2022/07/23 19:51:14 - mmengine - INFO - Epoch(train) [58][1740/3757] lr: 1.0000e-03 eta: 1 day, 5:40:48 time: 0.6319 data_time: 0.0218 memory: 17350 grad_norm: 6.6073 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2412 loss: 1.2412 2022/07/23 19:51:29 - mmengine - INFO - Epoch(train) [58][1760/3757] lr: 1.0000e-03 eta: 1 day, 5:40:36 time: 0.7423 data_time: 0.0227 memory: 17350 grad_norm: 7.0680 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0268 loss: 1.0268 2022/07/23 19:51:42 - mmengine - INFO - Epoch(train) [58][1780/3757] lr: 1.0000e-03 eta: 1 day, 5:40:22 time: 0.6216 data_time: 0.0223 memory: 17350 grad_norm: 7.3006 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3885 loss: 1.3885 2022/07/23 19:51:55 - mmengine - INFO - Epoch(train) [58][1800/3757] lr: 1.0000e-03 eta: 1 day, 5:40:08 time: 0.6560 data_time: 0.0220 memory: 17350 grad_norm: 6.8468 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4875 loss: 1.4875 2022/07/23 19:52:09 - mmengine - INFO - Epoch(train) [58][1820/3757] lr: 1.0000e-03 eta: 1 day, 5:39:55 time: 0.6893 data_time: 0.0241 memory: 17350 grad_norm: 6.9094 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1508 loss: 1.1508 2022/07/23 19:52:20 - mmengine - INFO - Epoch(train) [58][1840/3757] lr: 1.0000e-03 eta: 1 day, 5:39:41 time: 0.5919 data_time: 0.0223 memory: 17350 grad_norm: 6.9339 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4165 loss: 1.4165 2022/07/23 19:52:28 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 19:52:34 - mmengine - INFO - Epoch(train) [58][1860/3757] lr: 1.0000e-03 eta: 1 day, 5:39:27 time: 0.6690 data_time: 0.0209 memory: 17350 grad_norm: 7.0874 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0220 loss: 1.0220 2022/07/23 19:52:48 - mmengine - INFO - Epoch(train) [58][1880/3757] lr: 1.0000e-03 eta: 1 day, 5:39:15 time: 0.7070 data_time: 0.0222 memory: 17350 grad_norm: 6.7330 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2211 loss: 1.2211 2022/07/23 19:53:01 - mmengine - INFO - Epoch(train) [58][1900/3757] lr: 1.0000e-03 eta: 1 day, 5:39:01 time: 0.6422 data_time: 0.0220 memory: 17350 grad_norm: 6.8908 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3721 loss: 1.3721 2022/07/23 19:53:14 - mmengine - INFO - Epoch(train) [58][1920/3757] lr: 1.0000e-03 eta: 1 day, 5:38:47 time: 0.6596 data_time: 0.1538 memory: 17350 grad_norm: 6.9198 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3286 loss: 1.3286 2022/07/23 19:53:28 - mmengine - INFO - Epoch(train) [58][1940/3757] lr: 1.0000e-03 eta: 1 day, 5:38:34 time: 0.6767 data_time: 0.1186 memory: 17350 grad_norm: 6.9764 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1920 loss: 1.1920 2022/07/23 19:53:41 - mmengine - INFO - Epoch(train) [58][1960/3757] lr: 1.0000e-03 eta: 1 day, 5:38:21 time: 0.6831 data_time: 0.1144 memory: 17350 grad_norm: 6.9470 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4681 loss: 1.4681 2022/07/23 19:53:53 - mmengine - INFO - Epoch(train) [58][1980/3757] lr: 1.0000e-03 eta: 1 day, 5:38:06 time: 0.5741 data_time: 0.1524 memory: 17350 grad_norm: 7.3170 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4748 loss: 1.4748 2022/07/23 19:54:08 - mmengine - INFO - Epoch(train) [58][2000/3757] lr: 1.0000e-03 eta: 1 day, 5:37:54 time: 0.7798 data_time: 0.3733 memory: 17350 grad_norm: 7.2323 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4408 loss: 1.4408 2022/07/23 19:54:21 - mmengine - INFO - Epoch(train) [58][2020/3757] lr: 1.0000e-03 eta: 1 day, 5:37:40 time: 0.6181 data_time: 0.2222 memory: 17350 grad_norm: 6.8558 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0114 loss: 1.0114 2022/07/23 19:54:34 - mmengine - INFO - Epoch(train) [58][2040/3757] lr: 1.0000e-03 eta: 1 day, 5:37:27 time: 0.6689 data_time: 0.2934 memory: 17350 grad_norm: 6.9022 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9686 loss: 0.9686 2022/07/23 19:54:47 - mmengine - INFO - Epoch(train) [58][2060/3757] lr: 1.0000e-03 eta: 1 day, 5:37:13 time: 0.6303 data_time: 0.1776 memory: 17350 grad_norm: 6.8648 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1355 loss: 1.1355 2022/07/23 19:55:01 - mmengine - INFO - Epoch(train) [58][2080/3757] lr: 1.0000e-03 eta: 1 day, 5:37:00 time: 0.7036 data_time: 0.3451 memory: 17350 grad_norm: 7.3529 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2718 loss: 1.2718 2022/07/23 19:55:14 - mmengine - INFO - Epoch(train) [58][2100/3757] lr: 1.0000e-03 eta: 1 day, 5:36:47 time: 0.6609 data_time: 0.1680 memory: 17350 grad_norm: 6.9953 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0990 loss: 1.0990 2022/07/23 19:55:28 - mmengine - INFO - Epoch(train) [58][2120/3757] lr: 1.0000e-03 eta: 1 day, 5:36:34 time: 0.6897 data_time: 0.2402 memory: 17350 grad_norm: 6.9149 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1418 loss: 1.1418 2022/07/23 19:55:42 - mmengine - INFO - Epoch(train) [58][2140/3757] lr: 1.0000e-03 eta: 1 day, 5:36:20 time: 0.6818 data_time: 0.1635 memory: 17350 grad_norm: 6.8456 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3440 loss: 1.3440 2022/07/23 19:55:54 - mmengine - INFO - Epoch(train) [58][2160/3757] lr: 1.0000e-03 eta: 1 day, 5:36:06 time: 0.6106 data_time: 0.0485 memory: 17350 grad_norm: 7.1516 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3433 loss: 1.3433 2022/07/23 19:56:08 - mmengine - INFO - Epoch(train) [58][2180/3757] lr: 1.0000e-03 eta: 1 day, 5:35:53 time: 0.6989 data_time: 0.0680 memory: 17350 grad_norm: 6.8383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1679 loss: 1.1679 2022/07/23 19:56:21 - mmengine - INFO - Epoch(train) [58][2200/3757] lr: 1.0000e-03 eta: 1 day, 5:35:40 time: 0.6776 data_time: 0.2172 memory: 17350 grad_norm: 6.7315 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2174 loss: 1.2174 2022/07/23 19:56:34 - mmengine - INFO - Epoch(train) [58][2220/3757] lr: 1.0000e-03 eta: 1 day, 5:35:26 time: 0.6282 data_time: 0.1809 memory: 17350 grad_norm: 7.0066 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3646 loss: 1.3646 2022/07/23 19:56:48 - mmengine - INFO - Epoch(train) [58][2240/3757] lr: 1.0000e-03 eta: 1 day, 5:35:13 time: 0.7061 data_time: 0.2568 memory: 17350 grad_norm: 7.2472 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1840 loss: 1.1840 2022/07/23 19:57:00 - mmengine - INFO - Epoch(train) [58][2260/3757] lr: 1.0000e-03 eta: 1 day, 5:34:59 time: 0.6142 data_time: 0.1880 memory: 17350 grad_norm: 6.6429 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0986 loss: 1.0986 2022/07/23 19:57:15 - mmengine - INFO - Epoch(train) [58][2280/3757] lr: 1.0000e-03 eta: 1 day, 5:34:46 time: 0.7185 data_time: 0.3654 memory: 17350 grad_norm: 6.9635 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0695 loss: 1.0695 2022/07/23 19:57:28 - mmengine - INFO - Epoch(train) [58][2300/3757] lr: 1.0000e-03 eta: 1 day, 5:34:33 time: 0.6427 data_time: 0.1702 memory: 17350 grad_norm: 7.2515 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0651 loss: 1.0651 2022/07/23 19:57:43 - mmengine - INFO - Epoch(train) [58][2320/3757] lr: 1.0000e-03 eta: 1 day, 5:34:21 time: 0.7614 data_time: 0.1749 memory: 17350 grad_norm: 7.1163 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4469 loss: 1.4469 2022/07/23 19:57:55 - mmengine - INFO - Epoch(train) [58][2340/3757] lr: 1.0000e-03 eta: 1 day, 5:34:06 time: 0.5876 data_time: 0.0513 memory: 17350 grad_norm: 7.0574 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9765 loss: 0.9765 2022/07/23 19:58:08 - mmengine - INFO - Epoch(train) [58][2360/3757] lr: 1.0000e-03 eta: 1 day, 5:33:53 time: 0.6832 data_time: 0.0532 memory: 17350 grad_norm: 6.8801 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3401 loss: 1.3401 2022/07/23 19:58:21 - mmengine - INFO - Epoch(train) [58][2380/3757] lr: 1.0000e-03 eta: 1 day, 5:33:39 time: 0.6531 data_time: 0.0306 memory: 17350 grad_norm: 6.7341 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2487 loss: 1.2487 2022/07/23 19:58:34 - mmengine - INFO - Epoch(train) [58][2400/3757] lr: 1.0000e-03 eta: 1 day, 5:33:26 time: 0.6567 data_time: 0.0954 memory: 17350 grad_norm: 6.9407 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0619 loss: 1.0619 2022/07/23 19:58:48 - mmengine - INFO - Epoch(train) [58][2420/3757] lr: 1.0000e-03 eta: 1 day, 5:33:12 time: 0.6578 data_time: 0.1294 memory: 17350 grad_norm: 7.0897 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1894 loss: 1.1894 2022/07/23 19:59:01 - mmengine - INFO - Epoch(train) [58][2440/3757] lr: 1.0000e-03 eta: 1 day, 5:32:59 time: 0.6750 data_time: 0.1525 memory: 17350 grad_norm: 6.6695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0929 loss: 1.0929 2022/07/23 19:59:17 - mmengine - INFO - Epoch(train) [58][2460/3757] lr: 1.0000e-03 eta: 1 day, 5:32:47 time: 0.7727 data_time: 0.1329 memory: 17350 grad_norm: 7.1108 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5069 loss: 1.5069 2022/07/23 19:59:28 - mmengine - INFO - Epoch(train) [58][2480/3757] lr: 1.0000e-03 eta: 1 day, 5:32:32 time: 0.5760 data_time: 0.0251 memory: 17350 grad_norm: 6.8969 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2083 loss: 1.2083 2022/07/23 19:59:42 - mmengine - INFO - Epoch(train) [58][2500/3757] lr: 1.0000e-03 eta: 1 day, 5:32:20 time: 0.7022 data_time: 0.0207 memory: 17350 grad_norm: 7.3863 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3883 loss: 1.3883 2022/07/23 19:59:55 - mmengine - INFO - Epoch(train) [58][2520/3757] lr: 1.0000e-03 eta: 1 day, 5:32:06 time: 0.6227 data_time: 0.0236 memory: 17350 grad_norm: 6.9232 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0171 loss: 1.0171 2022/07/23 20:00:10 - mmengine - INFO - Epoch(train) [58][2540/3757] lr: 1.0000e-03 eta: 1 day, 5:31:53 time: 0.7471 data_time: 0.0243 memory: 17350 grad_norm: 7.0828 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1319 loss: 1.1319 2022/07/23 20:00:21 - mmengine - INFO - Epoch(train) [58][2560/3757] lr: 1.0000e-03 eta: 1 day, 5:31:39 time: 0.5769 data_time: 0.0228 memory: 17350 grad_norm: 6.7187 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1673 loss: 1.1673 2022/07/23 20:00:35 - mmengine - INFO - Epoch(train) [58][2580/3757] lr: 1.0000e-03 eta: 1 day, 5:31:26 time: 0.6973 data_time: 0.0227 memory: 17350 grad_norm: 6.9575 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5251 loss: 1.5251 2022/07/23 20:00:48 - mmengine - INFO - Epoch(train) [58][2600/3757] lr: 1.0000e-03 eta: 1 day, 5:31:12 time: 0.6415 data_time: 0.0277 memory: 17350 grad_norm: 7.0182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2277 loss: 1.2277 2022/07/23 20:01:03 - mmengine - INFO - Epoch(train) [58][2620/3757] lr: 1.0000e-03 eta: 1 day, 5:31:00 time: 0.7411 data_time: 0.0218 memory: 17350 grad_norm: 6.7952 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1133 loss: 1.1133 2022/07/23 20:01:15 - mmengine - INFO - Epoch(train) [58][2640/3757] lr: 1.0000e-03 eta: 1 day, 5:30:45 time: 0.6020 data_time: 0.0209 memory: 17350 grad_norm: 6.7613 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2043 loss: 1.2043 2022/07/23 20:01:29 - mmengine - INFO - Epoch(train) [58][2660/3757] lr: 1.0000e-03 eta: 1 day, 5:30:32 time: 0.6960 data_time: 0.0237 memory: 17350 grad_norm: 6.6416 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1047 loss: 1.1047 2022/07/23 20:01:42 - mmengine - INFO - Epoch(train) [58][2680/3757] lr: 1.0000e-03 eta: 1 day, 5:30:19 time: 0.6505 data_time: 0.0252 memory: 17350 grad_norm: 7.0298 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6391 loss: 1.6391 2022/07/23 20:01:55 - mmengine - INFO - Epoch(train) [58][2700/3757] lr: 1.0000e-03 eta: 1 day, 5:30:05 time: 0.6644 data_time: 0.0224 memory: 17350 grad_norm: 6.9435 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0647 loss: 1.0647 2022/07/23 20:02:08 - mmengine - INFO - Epoch(train) [58][2720/3757] lr: 1.0000e-03 eta: 1 day, 5:29:52 time: 0.6490 data_time: 0.0238 memory: 17350 grad_norm: 6.8700 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2253 loss: 1.2253 2022/07/23 20:02:23 - mmengine - INFO - Epoch(train) [58][2740/3757] lr: 1.0000e-03 eta: 1 day, 5:29:39 time: 0.7248 data_time: 0.0242 memory: 17350 grad_norm: 6.6934 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.3781 loss: 1.3781 2022/07/23 20:02:35 - mmengine - INFO - Epoch(train) [58][2760/3757] lr: 1.0000e-03 eta: 1 day, 5:29:25 time: 0.6251 data_time: 0.0219 memory: 17350 grad_norm: 7.1543 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1322 loss: 1.1322 2022/07/23 20:02:50 - mmengine - INFO - Epoch(train) [58][2780/3757] lr: 1.0000e-03 eta: 1 day, 5:29:12 time: 0.7190 data_time: 0.0230 memory: 17350 grad_norm: 6.6687 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3076 loss: 1.3076 2022/07/23 20:03:03 - mmengine - INFO - Epoch(train) [58][2800/3757] lr: 1.0000e-03 eta: 1 day, 5:28:59 time: 0.6642 data_time: 0.0242 memory: 17350 grad_norm: 6.7136 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3253 loss: 1.3253 2022/07/23 20:03:16 - mmengine - INFO - Epoch(train) [58][2820/3757] lr: 1.0000e-03 eta: 1 day, 5:28:45 time: 0.6622 data_time: 0.0259 memory: 17350 grad_norm: 6.9508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1667 loss: 1.1667 2022/07/23 20:03:28 - mmengine - INFO - Epoch(train) [58][2840/3757] lr: 1.0000e-03 eta: 1 day, 5:28:31 time: 0.6178 data_time: 0.0260 memory: 17350 grad_norm: 6.6297 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0693 loss: 1.0693 2022/07/23 20:03:38 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 20:03:44 - mmengine - INFO - Epoch(train) [58][2860/3757] lr: 1.0000e-03 eta: 1 day, 5:28:20 time: 0.7782 data_time: 0.0222 memory: 17350 grad_norm: 6.8802 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2904 loss: 1.2904 2022/07/23 20:03:56 - mmengine - INFO - Epoch(train) [58][2880/3757] lr: 1.0000e-03 eta: 1 day, 5:28:05 time: 0.5786 data_time: 0.0234 memory: 17350 grad_norm: 6.9926 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4611 loss: 1.4611 2022/07/23 20:04:10 - mmengine - INFO - Epoch(train) [58][2900/3757] lr: 1.0000e-03 eta: 1 day, 5:27:52 time: 0.7052 data_time: 0.0215 memory: 17350 grad_norm: 6.7224 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1300 loss: 1.1300 2022/07/23 20:04:22 - mmengine - INFO - Epoch(train) [58][2920/3757] lr: 1.0000e-03 eta: 1 day, 5:27:38 time: 0.6013 data_time: 0.0249 memory: 17350 grad_norm: 6.7192 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3395 loss: 1.3395 2022/07/23 20:04:37 - mmengine - INFO - Epoch(train) [58][2940/3757] lr: 1.0000e-03 eta: 1 day, 5:27:25 time: 0.7408 data_time: 0.0219 memory: 17350 grad_norm: 7.1250 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2920 loss: 1.2920 2022/07/23 20:04:48 - mmengine - INFO - Epoch(train) [58][2960/3757] lr: 1.0000e-03 eta: 1 day, 5:27:11 time: 0.5868 data_time: 0.0224 memory: 17350 grad_norm: 6.8449 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1752 loss: 1.1752 2022/07/23 20:05:03 - mmengine - INFO - Epoch(train) [58][2980/3757] lr: 1.0000e-03 eta: 1 day, 5:26:58 time: 0.7119 data_time: 0.0216 memory: 17350 grad_norm: 6.9848 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0674 loss: 1.0674 2022/07/23 20:05:15 - mmengine - INFO - Epoch(train) [58][3000/3757] lr: 1.0000e-03 eta: 1 day, 5:26:44 time: 0.6038 data_time: 0.0291 memory: 17350 grad_norm: 6.9452 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3510 loss: 1.3510 2022/07/23 20:05:28 - mmengine - INFO - Epoch(train) [58][3020/3757] lr: 1.0000e-03 eta: 1 day, 5:26:30 time: 0.6497 data_time: 0.0209 memory: 17350 grad_norm: 6.8877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2338 loss: 1.2338 2022/07/23 20:05:40 - mmengine - INFO - Epoch(train) [58][3040/3757] lr: 1.0000e-03 eta: 1 day, 5:26:16 time: 0.6211 data_time: 0.0852 memory: 17350 grad_norm: 7.0195 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3318 loss: 1.3318 2022/07/23 20:05:55 - mmengine - INFO - Epoch(train) [58][3060/3757] lr: 1.0000e-03 eta: 1 day, 5:26:04 time: 0.7467 data_time: 0.0559 memory: 17350 grad_norm: 6.8492 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2453 loss: 1.2453 2022/07/23 20:06:07 - mmengine - INFO - Epoch(train) [58][3080/3757] lr: 1.0000e-03 eta: 1 day, 5:25:50 time: 0.6152 data_time: 0.0786 memory: 17350 grad_norm: 7.0304 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1631 loss: 1.1631 2022/07/23 20:06:21 - mmengine - INFO - Epoch(train) [58][3100/3757] lr: 1.0000e-03 eta: 1 day, 5:25:37 time: 0.6932 data_time: 0.1049 memory: 17350 grad_norm: 7.0368 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1645 loss: 1.1645 2022/07/23 20:06:35 - mmengine - INFO - Epoch(train) [58][3120/3757] lr: 1.0000e-03 eta: 1 day, 5:25:24 time: 0.7000 data_time: 0.3127 memory: 17350 grad_norm: 6.9048 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2945 loss: 1.2945 2022/07/23 20:06:48 - mmengine - INFO - Epoch(train) [58][3140/3757] lr: 1.0000e-03 eta: 1 day, 5:25:10 time: 0.6285 data_time: 0.2737 memory: 17350 grad_norm: 7.0977 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4577 loss: 1.4577 2022/07/23 20:07:01 - mmengine - INFO - Epoch(train) [58][3160/3757] lr: 1.0000e-03 eta: 1 day, 5:24:56 time: 0.6644 data_time: 0.3000 memory: 17350 grad_norm: 7.0818 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0728 loss: 1.0728 2022/07/23 20:07:15 - mmengine - INFO - Epoch(train) [58][3180/3757] lr: 1.0000e-03 eta: 1 day, 5:24:43 time: 0.6799 data_time: 0.1947 memory: 17350 grad_norm: 7.0683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3474 loss: 1.3474 2022/07/23 20:07:29 - mmengine - INFO - Epoch(train) [58][3200/3757] lr: 1.0000e-03 eta: 1 day, 5:24:30 time: 0.6917 data_time: 0.1609 memory: 17350 grad_norm: 6.7502 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1535 loss: 1.1535 2022/07/23 20:07:42 - mmengine - INFO - Epoch(train) [58][3220/3757] lr: 1.0000e-03 eta: 1 day, 5:24:16 time: 0.6465 data_time: 0.0888 memory: 17350 grad_norm: 7.0863 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4137 loss: 1.4137 2022/07/23 20:07:54 - mmengine - INFO - Epoch(train) [58][3240/3757] lr: 1.0000e-03 eta: 1 day, 5:24:02 time: 0.6255 data_time: 0.1136 memory: 17350 grad_norm: 6.9347 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3306 loss: 1.3306 2022/07/23 20:08:07 - mmengine - INFO - Epoch(train) [58][3260/3757] lr: 1.0000e-03 eta: 1 day, 5:23:49 time: 0.6654 data_time: 0.0225 memory: 17350 grad_norm: 7.1016 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0322 loss: 1.0322 2022/07/23 20:08:21 - mmengine - INFO - Epoch(train) [58][3280/3757] lr: 1.0000e-03 eta: 1 day, 5:23:36 time: 0.6681 data_time: 0.0346 memory: 17350 grad_norm: 7.0423 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3824 loss: 1.3824 2022/07/23 20:08:35 - mmengine - INFO - Epoch(train) [58][3300/3757] lr: 1.0000e-03 eta: 1 day, 5:23:23 time: 0.7078 data_time: 0.1127 memory: 17350 grad_norm: 6.8175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0609 loss: 1.0609 2022/07/23 20:08:47 - mmengine - INFO - Epoch(train) [58][3320/3757] lr: 1.0000e-03 eta: 1 day, 5:23:09 time: 0.6239 data_time: 0.1549 memory: 17350 grad_norm: 7.0500 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3242 loss: 1.3242 2022/07/23 20:09:01 - mmengine - INFO - Epoch(train) [58][3340/3757] lr: 1.0000e-03 eta: 1 day, 5:22:55 time: 0.6671 data_time: 0.0561 memory: 17350 grad_norm: 6.9549 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2435 loss: 1.2435 2022/07/23 20:09:14 - mmengine - INFO - Epoch(train) [58][3360/3757] lr: 1.0000e-03 eta: 1 day, 5:22:42 time: 0.6484 data_time: 0.0566 memory: 17350 grad_norm: 6.9017 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4331 loss: 1.4331 2022/07/23 20:09:28 - mmengine - INFO - Epoch(train) [58][3380/3757] lr: 1.0000e-03 eta: 1 day, 5:22:29 time: 0.7047 data_time: 0.0331 memory: 17350 grad_norm: 7.0155 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2890 loss: 1.2890 2022/07/23 20:09:40 - mmengine - INFO - Epoch(train) [58][3400/3757] lr: 1.0000e-03 eta: 1 day, 5:22:15 time: 0.6006 data_time: 0.0240 memory: 17350 grad_norm: 7.1011 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1645 loss: 1.1645 2022/07/23 20:09:55 - mmengine - INFO - Epoch(train) [58][3420/3757] lr: 1.0000e-03 eta: 1 day, 5:22:03 time: 0.7711 data_time: 0.0729 memory: 17350 grad_norm: 7.0111 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2154 loss: 1.2154 2022/07/23 20:10:08 - mmengine - INFO - Epoch(train) [58][3440/3757] lr: 1.0000e-03 eta: 1 day, 5:21:49 time: 0.6430 data_time: 0.0235 memory: 17350 grad_norm: 6.9873 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1677 loss: 1.1677 2022/07/23 20:10:23 - mmengine - INFO - Epoch(train) [58][3460/3757] lr: 1.0000e-03 eta: 1 day, 5:21:36 time: 0.7167 data_time: 0.0234 memory: 17350 grad_norm: 6.8024 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4990 loss: 1.4990 2022/07/23 20:10:35 - mmengine - INFO - Epoch(train) [58][3480/3757] lr: 1.0000e-03 eta: 1 day, 5:21:22 time: 0.6286 data_time: 0.0220 memory: 17350 grad_norm: 7.2493 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4204 loss: 1.4204 2022/07/23 20:10:49 - mmengine - INFO - Epoch(train) [58][3500/3757] lr: 1.0000e-03 eta: 1 day, 5:21:09 time: 0.7040 data_time: 0.0231 memory: 17350 grad_norm: 7.0385 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5387 loss: 1.5387 2022/07/23 20:11:01 - mmengine - INFO - Epoch(train) [58][3520/3757] lr: 1.0000e-03 eta: 1 day, 5:20:55 time: 0.5825 data_time: 0.0238 memory: 17350 grad_norm: 7.0080 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4295 loss: 1.4295 2022/07/23 20:11:15 - mmengine - INFO - Epoch(train) [58][3540/3757] lr: 1.0000e-03 eta: 1 day, 5:20:42 time: 0.6853 data_time: 0.1381 memory: 17350 grad_norm: 7.1018 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1104 loss: 1.1104 2022/07/23 20:11:27 - mmengine - INFO - Epoch(train) [58][3560/3757] lr: 1.0000e-03 eta: 1 day, 5:20:27 time: 0.6012 data_time: 0.1582 memory: 17350 grad_norm: 7.0558 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3218 loss: 1.3218 2022/07/23 20:11:42 - mmengine - INFO - Epoch(train) [58][3580/3757] lr: 1.0000e-03 eta: 1 day, 5:20:15 time: 0.7409 data_time: 0.2538 memory: 17350 grad_norm: 6.8742 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2742 loss: 1.2742 2022/07/23 20:11:54 - mmengine - INFO - Epoch(train) [58][3600/3757] lr: 1.0000e-03 eta: 1 day, 5:20:01 time: 0.6118 data_time: 0.1838 memory: 17350 grad_norm: 7.2402 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1798 loss: 1.1798 2022/07/23 20:12:09 - mmengine - INFO - Epoch(train) [58][3620/3757] lr: 1.0000e-03 eta: 1 day, 5:19:49 time: 0.7631 data_time: 0.1518 memory: 17350 grad_norm: 7.1820 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3102 loss: 1.3102 2022/07/23 20:12:21 - mmengine - INFO - Epoch(train) [58][3640/3757] lr: 1.0000e-03 eta: 1 day, 5:19:34 time: 0.5787 data_time: 0.0923 memory: 17350 grad_norm: 7.0722 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2898 loss: 1.2898 2022/07/23 20:12:34 - mmengine - INFO - Epoch(train) [58][3660/3757] lr: 1.0000e-03 eta: 1 day, 5:19:21 time: 0.6796 data_time: 0.0984 memory: 17350 grad_norm: 7.2294 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1647 loss: 1.1647 2022/07/23 20:12:47 - mmengine - INFO - Epoch(train) [58][3680/3757] lr: 1.0000e-03 eta: 1 day, 5:19:07 time: 0.6187 data_time: 0.1491 memory: 17350 grad_norm: 6.8280 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1290 loss: 1.1290 2022/07/23 20:13:01 - mmengine - INFO - Epoch(train) [58][3700/3757] lr: 1.0000e-03 eta: 1 day, 5:18:54 time: 0.7301 data_time: 0.1773 memory: 17350 grad_norm: 6.8292 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1050 loss: 1.1050 2022/07/23 20:13:13 - mmengine - INFO - Epoch(train) [58][3720/3757] lr: 1.0000e-03 eta: 1 day, 5:18:40 time: 0.6092 data_time: 0.1237 memory: 17350 grad_norm: 6.7803 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2509 loss: 1.2509 2022/07/23 20:13:28 - mmengine - INFO - Epoch(train) [58][3740/3757] lr: 1.0000e-03 eta: 1 day, 5:18:28 time: 0.7250 data_time: 0.1604 memory: 17350 grad_norm: 7.2878 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7081 loss: 1.7081 2022/07/23 20:13:36 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 20:13:36 - mmengine - INFO - Epoch(train) [58][3757/3757] lr: 1.0000e-03 eta: 1 day, 5:18:28 time: 0.4377 data_time: 0.0227 memory: 17350 grad_norm: 6.9752 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.3014 loss: 1.3014 2022/07/23 20:13:53 - mmengine - INFO - Epoch(val) [58][20/310] eta: 0:04:07 time: 0.8537 data_time: 0.7380 memory: 3406 2022/07/23 20:14:04 - mmengine - INFO - Epoch(val) [58][40/310] eta: 0:02:30 time: 0.5586 data_time: 0.4471 memory: 3406 2022/07/23 20:14:20 - mmengine - INFO - Epoch(val) [58][60/310] eta: 0:03:16 time: 0.7852 data_time: 0.6699 memory: 3406 2022/07/23 20:14:31 - mmengine - INFO - Epoch(val) [58][80/310] eta: 0:02:06 time: 0.5510 data_time: 0.4334 memory: 3406 2022/07/23 20:14:46 - mmengine - INFO - Epoch(val) [58][100/310] eta: 0:02:38 time: 0.7545 data_time: 0.6386 memory: 3406 2022/07/23 20:14:57 - mmengine - INFO - Epoch(val) [58][120/310] eta: 0:01:43 time: 0.5463 data_time: 0.4282 memory: 3406 2022/07/23 20:15:12 - mmengine - INFO - Epoch(val) [58][140/310] eta: 0:02:10 time: 0.7656 data_time: 0.6509 memory: 3406 2022/07/23 20:15:23 - mmengine - INFO - Epoch(val) [58][160/310] eta: 0:01:25 time: 0.5705 data_time: 0.4580 memory: 3406 2022/07/23 20:15:39 - mmengine - INFO - Epoch(val) [58][180/310] eta: 0:01:41 time: 0.7826 data_time: 0.6689 memory: 3406 2022/07/23 20:15:51 - mmengine - INFO - Epoch(val) [58][200/310] eta: 0:01:05 time: 0.5933 data_time: 0.4802 memory: 3406 2022/07/23 20:16:05 - mmengine - INFO - Epoch(val) [58][220/310] eta: 0:01:02 time: 0.6991 data_time: 0.5862 memory: 3406 2022/07/23 20:16:17 - mmengine - INFO - Epoch(val) [58][240/310] eta: 0:00:41 time: 0.5961 data_time: 0.4829 memory: 3406 2022/07/23 20:16:31 - mmengine - INFO - Epoch(val) [58][260/310] eta: 0:00:35 time: 0.7163 data_time: 0.5970 memory: 3406 2022/07/23 20:16:43 - mmengine - INFO - Epoch(val) [58][280/310] eta: 0:00:17 time: 0.5839 data_time: 0.4707 memory: 3406 2022/07/23 20:16:56 - mmengine - INFO - Epoch(val) [58][300/310] eta: 0:00:06 time: 0.6765 data_time: 0.5629 memory: 3406 2022/07/23 20:17:02 - mmengine - INFO - Epoch(val) [58][310/310] acc/top1: 0.6759 acc/top5: 0.8733 acc/mean1: 0.6758 2022/07/23 20:17:20 - mmengine - INFO - Epoch(train) [59][20/3757] lr: 1.0000e-03 eta: 1 day, 5:17:58 time: 0.8959 data_time: 0.5453 memory: 17350 grad_norm: 6.8190 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3748 loss: 1.3748 2022/07/23 20:17:32 - mmengine - INFO - Epoch(train) [59][40/3757] lr: 1.0000e-03 eta: 1 day, 5:17:43 time: 0.5996 data_time: 0.2450 memory: 17350 grad_norm: 6.9173 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4162 loss: 1.4162 2022/07/23 20:17:48 - mmengine - INFO - Epoch(train) [59][60/3757] lr: 1.0000e-03 eta: 1 day, 5:17:32 time: 0.7789 data_time: 0.1900 memory: 17350 grad_norm: 7.2047 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2053 loss: 1.2053 2022/07/23 20:18:00 - mmengine - INFO - Epoch(train) [59][80/3757] lr: 1.0000e-03 eta: 1 day, 5:17:18 time: 0.6144 data_time: 0.0415 memory: 17350 grad_norm: 6.7607 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3628 loss: 1.3628 2022/07/23 20:18:10 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 20:18:14 - mmengine - INFO - Epoch(train) [59][100/3757] lr: 1.0000e-03 eta: 1 day, 5:17:05 time: 0.7218 data_time: 0.0239 memory: 17350 grad_norm: 7.0915 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0577 loss: 1.0577 2022/07/23 20:18:27 - mmengine - INFO - Epoch(train) [59][120/3757] lr: 1.0000e-03 eta: 1 day, 5:16:51 time: 0.6291 data_time: 0.0224 memory: 17350 grad_norm: 6.9931 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9784 loss: 0.9784 2022/07/23 20:18:42 - mmengine - INFO - Epoch(train) [59][140/3757] lr: 1.0000e-03 eta: 1 day, 5:16:39 time: 0.7309 data_time: 0.0255 memory: 17350 grad_norm: 7.0323 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2173 loss: 1.2173 2022/07/23 20:18:54 - mmengine - INFO - Epoch(train) [59][160/3757] lr: 1.0000e-03 eta: 1 day, 5:16:24 time: 0.6097 data_time: 0.0233 memory: 17350 grad_norm: 6.9204 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1787 loss: 1.1787 2022/07/23 20:19:09 - mmengine - INFO - Epoch(train) [59][180/3757] lr: 1.0000e-03 eta: 1 day, 5:16:12 time: 0.7620 data_time: 0.0248 memory: 17350 grad_norm: 7.1406 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3667 loss: 1.3667 2022/07/23 20:19:20 - mmengine - INFO - Epoch(train) [59][200/3757] lr: 1.0000e-03 eta: 1 day, 5:15:57 time: 0.5435 data_time: 0.0250 memory: 17350 grad_norm: 6.7650 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1121 loss: 1.1121 2022/07/23 20:19:35 - mmengine - INFO - Epoch(train) [59][220/3757] lr: 1.0000e-03 eta: 1 day, 5:15:45 time: 0.7374 data_time: 0.0233 memory: 17350 grad_norm: 7.1043 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1804 loss: 1.1804 2022/07/23 20:19:47 - mmengine - INFO - Epoch(train) [59][240/3757] lr: 1.0000e-03 eta: 1 day, 5:15:31 time: 0.6293 data_time: 0.0231 memory: 17350 grad_norm: 6.9879 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2531 loss: 1.2531 2022/07/23 20:20:01 - mmengine - INFO - Epoch(train) [59][260/3757] lr: 1.0000e-03 eta: 1 day, 5:15:18 time: 0.7067 data_time: 0.0226 memory: 17350 grad_norm: 6.9389 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0537 loss: 1.0537 2022/07/23 20:20:14 - mmengine - INFO - Epoch(train) [59][280/3757] lr: 1.0000e-03 eta: 1 day, 5:15:04 time: 0.6183 data_time: 0.0266 memory: 17350 grad_norm: 6.9026 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0620 loss: 1.0620 2022/07/23 20:20:30 - mmengine - INFO - Epoch(train) [59][300/3757] lr: 1.0000e-03 eta: 1 day, 5:14:52 time: 0.7864 data_time: 0.0232 memory: 17350 grad_norm: 6.9137 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0911 loss: 1.0911 2022/07/23 20:20:41 - mmengine - INFO - Epoch(train) [59][320/3757] lr: 1.0000e-03 eta: 1 day, 5:14:38 time: 0.5742 data_time: 0.0221 memory: 17350 grad_norm: 6.7413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2803 loss: 1.2803 2022/07/23 20:20:56 - mmengine - INFO - Epoch(train) [59][340/3757] lr: 1.0000e-03 eta: 1 day, 5:14:25 time: 0.7630 data_time: 0.0207 memory: 17350 grad_norm: 6.9523 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3438 loss: 1.3438 2022/07/23 20:21:08 - mmengine - INFO - Epoch(train) [59][360/3757] lr: 1.0000e-03 eta: 1 day, 5:14:11 time: 0.5722 data_time: 0.0232 memory: 17350 grad_norm: 6.9275 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1894 loss: 1.1894 2022/07/23 20:21:22 - mmengine - INFO - Epoch(train) [59][380/3757] lr: 1.0000e-03 eta: 1 day, 5:13:58 time: 0.7150 data_time: 0.0247 memory: 17350 grad_norm: 6.9571 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0660 loss: 1.0660 2022/07/23 20:21:34 - mmengine - INFO - Epoch(train) [59][400/3757] lr: 1.0000e-03 eta: 1 day, 5:13:44 time: 0.6016 data_time: 0.0231 memory: 17350 grad_norm: 7.2238 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2240 loss: 1.2240 2022/07/23 20:21:49 - mmengine - INFO - Epoch(train) [59][420/3757] lr: 1.0000e-03 eta: 1 day, 5:13:31 time: 0.7335 data_time: 0.0223 memory: 17350 grad_norm: 6.8123 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9363 loss: 0.9363 2022/07/23 20:22:00 - mmengine - INFO - Epoch(train) [59][440/3757] lr: 1.0000e-03 eta: 1 day, 5:13:16 time: 0.5687 data_time: 0.0220 memory: 17350 grad_norm: 7.0948 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0423 loss: 1.0423 2022/07/23 20:22:16 - mmengine - INFO - Epoch(train) [59][460/3757] lr: 1.0000e-03 eta: 1 day, 5:13:05 time: 0.7707 data_time: 0.0227 memory: 17350 grad_norm: 7.1223 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0505 loss: 1.0505 2022/07/23 20:22:28 - mmengine - INFO - Epoch(train) [59][480/3757] lr: 1.0000e-03 eta: 1 day, 5:12:50 time: 0.5968 data_time: 0.0237 memory: 17350 grad_norm: 7.2207 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1066 loss: 1.1066 2022/07/23 20:22:42 - mmengine - INFO - Epoch(train) [59][500/3757] lr: 1.0000e-03 eta: 1 day, 5:12:37 time: 0.7153 data_time: 0.0210 memory: 17350 grad_norm: 7.4927 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1438 loss: 1.1438 2022/07/23 20:22:53 - mmengine - INFO - Epoch(train) [59][520/3757] lr: 1.0000e-03 eta: 1 day, 5:12:23 time: 0.5607 data_time: 0.0226 memory: 17350 grad_norm: 6.9113 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9852 loss: 0.9852 2022/07/23 20:23:08 - mmengine - INFO - Epoch(train) [59][540/3757] lr: 1.0000e-03 eta: 1 day, 5:12:10 time: 0.7495 data_time: 0.0218 memory: 17350 grad_norm: 7.2595 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9655 loss: 0.9655 2022/07/23 20:23:20 - mmengine - INFO - Epoch(train) [59][560/3757] lr: 1.0000e-03 eta: 1 day, 5:11:56 time: 0.5809 data_time: 0.0258 memory: 17350 grad_norm: 6.8509 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1969 loss: 1.1969 2022/07/23 20:23:34 - mmengine - INFO - Epoch(train) [59][580/3757] lr: 1.0000e-03 eta: 1 day, 5:11:43 time: 0.7017 data_time: 0.0232 memory: 17350 grad_norm: 6.9253 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3829 loss: 1.3829 2022/07/23 20:23:46 - mmengine - INFO - Epoch(train) [59][600/3757] lr: 1.0000e-03 eta: 1 day, 5:11:29 time: 0.6240 data_time: 0.0520 memory: 17350 grad_norm: 6.9086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1447 loss: 1.1447 2022/07/23 20:24:00 - mmengine - INFO - Epoch(train) [59][620/3757] lr: 1.0000e-03 eta: 1 day, 5:11:16 time: 0.7009 data_time: 0.0224 memory: 17350 grad_norm: 7.0942 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2848 loss: 1.2848 2022/07/23 20:24:13 - mmengine - INFO - Epoch(train) [59][640/3757] lr: 1.0000e-03 eta: 1 day, 5:11:02 time: 0.6075 data_time: 0.0279 memory: 17350 grad_norm: 7.1194 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2374 loss: 1.2374 2022/07/23 20:24:27 - mmengine - INFO - Epoch(train) [59][660/3757] lr: 1.0000e-03 eta: 1 day, 5:10:49 time: 0.6999 data_time: 0.0740 memory: 17350 grad_norm: 7.2458 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1600 loss: 1.1600 2022/07/23 20:24:40 - mmengine - INFO - Epoch(train) [59][680/3757] lr: 1.0000e-03 eta: 1 day, 5:10:35 time: 0.6592 data_time: 0.0395 memory: 17350 grad_norm: 7.4275 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1577 loss: 1.1577 2022/07/23 20:24:52 - mmengine - INFO - Epoch(train) [59][700/3757] lr: 1.0000e-03 eta: 1 day, 5:10:21 time: 0.6371 data_time: 0.0230 memory: 17350 grad_norm: 7.0339 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2042 loss: 1.2042 2022/07/23 20:25:06 - mmengine - INFO - Epoch(train) [59][720/3757] lr: 1.0000e-03 eta: 1 day, 5:10:08 time: 0.6857 data_time: 0.0230 memory: 17350 grad_norm: 7.3504 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2945 loss: 1.2945 2022/07/23 20:25:20 - mmengine - INFO - Epoch(train) [59][740/3757] lr: 1.0000e-03 eta: 1 day, 5:09:55 time: 0.6919 data_time: 0.0224 memory: 17350 grad_norm: 6.8231 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2184 loss: 1.2184 2022/07/23 20:25:34 - mmengine - INFO - Epoch(train) [59][760/3757] lr: 1.0000e-03 eta: 1 day, 5:09:42 time: 0.6830 data_time: 0.0218 memory: 17350 grad_norm: 7.0568 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0595 loss: 1.0595 2022/07/23 20:25:47 - mmengine - INFO - Epoch(train) [59][780/3757] lr: 1.0000e-03 eta: 1 day, 5:09:29 time: 0.6682 data_time: 0.0232 memory: 17350 grad_norm: 6.9060 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1243 loss: 1.1243 2022/07/23 20:25:59 - mmengine - INFO - Epoch(train) [59][800/3757] lr: 1.0000e-03 eta: 1 day, 5:09:14 time: 0.6015 data_time: 0.0231 memory: 17350 grad_norm: 6.9246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1651 loss: 1.1651 2022/07/23 20:26:14 - mmengine - INFO - Epoch(train) [59][820/3757] lr: 1.0000e-03 eta: 1 day, 5:09:02 time: 0.7167 data_time: 0.0243 memory: 17350 grad_norm: 6.9716 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1475 loss: 1.1475 2022/07/23 20:26:26 - mmengine - INFO - Epoch(train) [59][840/3757] lr: 1.0000e-03 eta: 1 day, 5:08:48 time: 0.6193 data_time: 0.0219 memory: 17350 grad_norm: 7.2295 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0772 loss: 1.0772 2022/07/23 20:26:41 - mmengine - INFO - Epoch(train) [59][860/3757] lr: 1.0000e-03 eta: 1 day, 5:08:35 time: 0.7332 data_time: 0.0226 memory: 17350 grad_norm: 7.0797 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2941 loss: 1.2941 2022/07/23 20:26:54 - mmengine - INFO - Epoch(train) [59][880/3757] lr: 1.0000e-03 eta: 1 day, 5:08:21 time: 0.6480 data_time: 0.0236 memory: 17350 grad_norm: 7.3211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2576 loss: 1.2576 2022/07/23 20:27:07 - mmengine - INFO - Epoch(train) [59][900/3757] lr: 1.0000e-03 eta: 1 day, 5:08:08 time: 0.6503 data_time: 0.0226 memory: 17350 grad_norm: 6.8989 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3473 loss: 1.3473 2022/07/23 20:27:19 - mmengine - INFO - Epoch(train) [59][920/3757] lr: 1.0000e-03 eta: 1 day, 5:07:54 time: 0.6113 data_time: 0.0226 memory: 17350 grad_norm: 6.9978 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5568 loss: 1.5568 2022/07/23 20:27:34 - mmengine - INFO - Epoch(train) [59][940/3757] lr: 1.0000e-03 eta: 1 day, 5:07:42 time: 0.7755 data_time: 0.0219 memory: 17350 grad_norm: 7.0725 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1487 loss: 1.1487 2022/07/23 20:27:47 - mmengine - INFO - Epoch(train) [59][960/3757] lr: 1.0000e-03 eta: 1 day, 5:07:28 time: 0.6480 data_time: 0.0227 memory: 17350 grad_norm: 7.1181 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4863 loss: 1.4863 2022/07/23 20:28:01 - mmengine - INFO - Epoch(train) [59][980/3757] lr: 1.0000e-03 eta: 1 day, 5:07:15 time: 0.6889 data_time: 0.0242 memory: 17350 grad_norm: 6.9597 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1779 loss: 1.1779 2022/07/23 20:28:13 - mmengine - INFO - Epoch(train) [59][1000/3757] lr: 1.0000e-03 eta: 1 day, 5:07:01 time: 0.6164 data_time: 0.0242 memory: 17350 grad_norm: 7.1204 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2619 loss: 1.2619 2022/07/23 20:28:27 - mmengine - INFO - Epoch(train) [59][1020/3757] lr: 1.0000e-03 eta: 1 day, 5:06:48 time: 0.6915 data_time: 0.0220 memory: 17350 grad_norm: 6.8110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1017 loss: 1.1017 2022/07/23 20:28:40 - mmengine - INFO - Epoch(train) [59][1040/3757] lr: 1.0000e-03 eta: 1 day, 5:06:34 time: 0.6242 data_time: 0.0224 memory: 17350 grad_norm: 6.8239 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2043 loss: 1.2043 2022/07/23 20:28:54 - mmengine - INFO - Epoch(train) [59][1060/3757] lr: 1.0000e-03 eta: 1 day, 5:06:21 time: 0.6953 data_time: 0.0210 memory: 17350 grad_norm: 6.8737 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2064 loss: 1.2064 2022/07/23 20:29:07 - mmengine - INFO - Epoch(train) [59][1080/3757] lr: 1.0000e-03 eta: 1 day, 5:06:08 time: 0.6881 data_time: 0.0221 memory: 17350 grad_norm: 7.0309 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1069 loss: 1.1069 2022/07/23 20:29:16 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 20:29:19 - mmengine - INFO - Epoch(train) [59][1100/3757] lr: 1.0000e-03 eta: 1 day, 5:05:53 time: 0.5966 data_time: 0.0243 memory: 17350 grad_norm: 6.8623 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1997 loss: 1.1997 2022/07/23 20:29:35 - mmengine - INFO - Epoch(train) [59][1120/3757] lr: 1.0000e-03 eta: 1 day, 5:05:41 time: 0.7602 data_time: 0.0212 memory: 17350 grad_norm: 7.0131 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1579 loss: 1.1579 2022/07/23 20:29:48 - mmengine - INFO - Epoch(train) [59][1140/3757] lr: 1.0000e-03 eta: 1 day, 5:05:28 time: 0.6692 data_time: 0.0236 memory: 17350 grad_norm: 7.1794 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0677 loss: 1.0677 2022/07/23 20:30:00 - mmengine - INFO - Epoch(train) [59][1160/3757] lr: 1.0000e-03 eta: 1 day, 5:05:14 time: 0.6010 data_time: 0.0254 memory: 17350 grad_norm: 7.2785 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5302 loss: 1.5302 2022/07/23 20:30:19 - mmengine - INFO - Epoch(train) [59][1180/3757] lr: 1.0000e-03 eta: 1 day, 5:05:04 time: 0.9371 data_time: 0.0221 memory: 17350 grad_norm: 7.1621 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3088 loss: 1.3088 2022/07/23 20:30:31 - mmengine - INFO - Epoch(train) [59][1200/3757] lr: 1.0000e-03 eta: 1 day, 5:04:50 time: 0.6235 data_time: 0.0183 memory: 17350 grad_norm: 6.8503 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1812 loss: 1.1812 2022/07/23 20:30:44 - mmengine - INFO - Epoch(train) [59][1220/3757] lr: 1.0000e-03 eta: 1 day, 5:04:36 time: 0.6203 data_time: 0.0259 memory: 17350 grad_norm: 6.9797 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2186 loss: 1.2186 2022/07/23 20:30:57 - mmengine - INFO - Epoch(train) [59][1240/3757] lr: 1.0000e-03 eta: 1 day, 5:04:23 time: 0.6867 data_time: 0.0242 memory: 17350 grad_norm: 7.1308 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2270 loss: 1.2270 2022/07/23 20:31:11 - mmengine - INFO - Epoch(train) [59][1260/3757] lr: 1.0000e-03 eta: 1 day, 5:04:09 time: 0.6603 data_time: 0.0235 memory: 17350 grad_norm: 7.0175 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4056 loss: 1.4056 2022/07/23 20:31:24 - mmengine - INFO - Epoch(train) [59][1280/3757] lr: 1.0000e-03 eta: 1 day, 5:03:56 time: 0.6605 data_time: 0.0216 memory: 17350 grad_norm: 6.9249 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3065 loss: 1.3065 2022/07/23 20:31:37 - mmengine - INFO - Epoch(train) [59][1300/3757] lr: 1.0000e-03 eta: 1 day, 5:03:42 time: 0.6547 data_time: 0.0229 memory: 17350 grad_norm: 7.1226 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1335 loss: 1.1335 2022/07/23 20:31:51 - mmengine - INFO - Epoch(train) [59][1320/3757] lr: 1.0000e-03 eta: 1 day, 5:03:29 time: 0.6994 data_time: 0.0225 memory: 17350 grad_norm: 7.2269 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4957 loss: 1.4957 2022/07/23 20:32:03 - mmengine - INFO - Epoch(train) [59][1340/3757] lr: 1.0000e-03 eta: 1 day, 5:03:15 time: 0.5793 data_time: 0.0206 memory: 17350 grad_norm: 7.0165 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0239 loss: 1.0239 2022/07/23 20:32:18 - mmengine - INFO - Epoch(train) [59][1360/3757] lr: 1.0000e-03 eta: 1 day, 5:03:03 time: 0.7502 data_time: 0.0227 memory: 17350 grad_norm: 7.1555 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0721 loss: 1.0721 2022/07/23 20:32:29 - mmengine - INFO - Epoch(train) [59][1380/3757] lr: 1.0000e-03 eta: 1 day, 5:02:48 time: 0.5895 data_time: 0.0249 memory: 17350 grad_norm: 6.8289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0369 loss: 1.0369 2022/07/23 20:32:44 - mmengine - INFO - Epoch(train) [59][1400/3757] lr: 1.0000e-03 eta: 1 day, 5:02:36 time: 0.7260 data_time: 0.0228 memory: 17350 grad_norm: 7.0195 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9430 loss: 0.9430 2022/07/23 20:32:56 - mmengine - INFO - Epoch(train) [59][1420/3757] lr: 1.0000e-03 eta: 1 day, 5:02:21 time: 0.6148 data_time: 0.0249 memory: 17350 grad_norm: 7.1155 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2411 loss: 1.2411 2022/07/23 20:33:11 - mmengine - INFO - Epoch(train) [59][1440/3757] lr: 1.0000e-03 eta: 1 day, 5:02:09 time: 0.7391 data_time: 0.0221 memory: 17350 grad_norm: 7.1313 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3057 loss: 1.3057 2022/07/23 20:33:23 - mmengine - INFO - Epoch(train) [59][1460/3757] lr: 1.0000e-03 eta: 1 day, 5:01:55 time: 0.5966 data_time: 0.0226 memory: 17350 grad_norm: 7.0895 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9731 loss: 0.9731 2022/07/23 20:33:38 - mmengine - INFO - Epoch(train) [59][1480/3757] lr: 1.0000e-03 eta: 1 day, 5:01:43 time: 0.7603 data_time: 0.0235 memory: 17350 grad_norm: 7.1340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2486 loss: 1.2486 2022/07/23 20:33:50 - mmengine - INFO - Epoch(train) [59][1500/3757] lr: 1.0000e-03 eta: 1 day, 5:01:28 time: 0.5846 data_time: 0.0245 memory: 17350 grad_norm: 6.9837 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2772 loss: 1.2772 2022/07/23 20:34:04 - mmengine - INFO - Epoch(train) [59][1520/3757] lr: 1.0000e-03 eta: 1 day, 5:01:15 time: 0.7109 data_time: 0.0227 memory: 17350 grad_norm: 7.2411 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2699 loss: 1.2699 2022/07/23 20:34:16 - mmengine - INFO - Epoch(train) [59][1540/3757] lr: 1.0000e-03 eta: 1 day, 5:01:01 time: 0.5948 data_time: 0.0218 memory: 17350 grad_norm: 7.1425 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2282 loss: 1.2282 2022/07/23 20:34:31 - mmengine - INFO - Epoch(train) [59][1560/3757] lr: 1.0000e-03 eta: 1 day, 5:00:49 time: 0.7470 data_time: 0.0227 memory: 17350 grad_norm: 6.9427 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0852 loss: 1.0852 2022/07/23 20:34:43 - mmengine - INFO - Epoch(train) [59][1580/3757] lr: 1.0000e-03 eta: 1 day, 5:00:34 time: 0.5854 data_time: 0.0222 memory: 17350 grad_norm: 6.9870 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2362 loss: 1.2362 2022/07/23 20:34:57 - mmengine - INFO - Epoch(train) [59][1600/3757] lr: 1.0000e-03 eta: 1 day, 5:00:21 time: 0.7092 data_time: 0.0236 memory: 17350 grad_norm: 7.1895 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4989 loss: 1.4989 2022/07/23 20:35:10 - mmengine - INFO - Epoch(train) [59][1620/3757] lr: 1.0000e-03 eta: 1 day, 5:00:07 time: 0.6325 data_time: 0.0243 memory: 17350 grad_norm: 7.0988 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2225 loss: 1.2225 2022/07/23 20:35:23 - mmengine - INFO - Epoch(train) [59][1640/3757] lr: 1.0000e-03 eta: 1 day, 4:59:54 time: 0.6827 data_time: 0.0240 memory: 17350 grad_norm: 7.2187 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2188 loss: 1.2188 2022/07/23 20:35:36 - mmengine - INFO - Epoch(train) [59][1660/3757] lr: 1.0000e-03 eta: 1 day, 4:59:40 time: 0.6330 data_time: 0.0228 memory: 17350 grad_norm: 7.1889 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1407 loss: 1.1407 2022/07/23 20:35:52 - mmengine - INFO - Epoch(train) [59][1680/3757] lr: 1.0000e-03 eta: 1 day, 4:59:29 time: 0.7770 data_time: 0.0565 memory: 17350 grad_norm: 6.9824 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2733 loss: 1.2733 2022/07/23 20:36:03 - mmengine - INFO - Epoch(train) [59][1700/3757] lr: 1.0000e-03 eta: 1 day, 4:59:14 time: 0.5924 data_time: 0.0799 memory: 17350 grad_norm: 6.9106 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.1974 loss: 1.1974 2022/07/23 20:36:18 - mmengine - INFO - Epoch(train) [59][1720/3757] lr: 1.0000e-03 eta: 1 day, 4:59:02 time: 0.7463 data_time: 0.0224 memory: 17350 grad_norm: 7.0624 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1729 loss: 1.1729 2022/07/23 20:36:30 - mmengine - INFO - Epoch(train) [59][1740/3757] lr: 1.0000e-03 eta: 1 day, 4:58:47 time: 0.5810 data_time: 0.0233 memory: 17350 grad_norm: 7.1715 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3674 loss: 1.3674 2022/07/23 20:36:44 - mmengine - INFO - Epoch(train) [59][1760/3757] lr: 1.0000e-03 eta: 1 day, 4:58:34 time: 0.7055 data_time: 0.0523 memory: 17350 grad_norm: 7.2025 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2921 loss: 1.2921 2022/07/23 20:36:56 - mmengine - INFO - Epoch(train) [59][1780/3757] lr: 1.0000e-03 eta: 1 day, 4:58:20 time: 0.6196 data_time: 0.0224 memory: 17350 grad_norm: 6.7540 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0283 loss: 1.0283 2022/07/23 20:37:11 - mmengine - INFO - Epoch(train) [59][1800/3757] lr: 1.0000e-03 eta: 1 day, 4:58:08 time: 0.7261 data_time: 0.0224 memory: 17350 grad_norm: 6.9482 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1393 loss: 1.1393 2022/07/23 20:37:24 - mmengine - INFO - Epoch(train) [59][1820/3757] lr: 1.0000e-03 eta: 1 day, 4:57:54 time: 0.6332 data_time: 0.0249 memory: 17350 grad_norm: 6.9799 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3785 loss: 1.3785 2022/07/23 20:37:38 - mmengine - INFO - Epoch(train) [59][1840/3757] lr: 1.0000e-03 eta: 1 day, 4:57:41 time: 0.6928 data_time: 0.0234 memory: 17350 grad_norm: 6.9207 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3270 loss: 1.3270 2022/07/23 20:37:50 - mmengine - INFO - Epoch(train) [59][1860/3757] lr: 1.0000e-03 eta: 1 day, 4:57:27 time: 0.6067 data_time: 0.0362 memory: 17350 grad_norm: 6.9090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2488 loss: 1.2488 2022/07/23 20:38:04 - mmengine - INFO - Epoch(train) [59][1880/3757] lr: 1.0000e-03 eta: 1 day, 4:57:14 time: 0.7335 data_time: 0.0223 memory: 17350 grad_norm: 7.2488 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5198 loss: 1.5198 2022/07/23 20:38:16 - mmengine - INFO - Epoch(train) [59][1900/3757] lr: 1.0000e-03 eta: 1 day, 4:57:00 time: 0.5867 data_time: 0.0238 memory: 17350 grad_norm: 7.2877 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2546 loss: 1.2546 2022/07/23 20:38:31 - mmengine - INFO - Epoch(train) [59][1920/3757] lr: 1.0000e-03 eta: 1 day, 4:56:47 time: 0.7273 data_time: 0.0208 memory: 17350 grad_norm: 7.0302 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2963 loss: 1.2963 2022/07/23 20:38:43 - mmengine - INFO - Epoch(train) [59][1940/3757] lr: 1.0000e-03 eta: 1 day, 4:56:33 time: 0.6349 data_time: 0.0230 memory: 17350 grad_norm: 7.1831 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1804 loss: 1.1804 2022/07/23 20:38:57 - mmengine - INFO - Epoch(train) [59][1960/3757] lr: 1.0000e-03 eta: 1 day, 4:56:20 time: 0.6833 data_time: 0.0224 memory: 17350 grad_norm: 7.2432 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0970 loss: 1.0970 2022/07/23 20:39:09 - mmengine - INFO - Epoch(train) [59][1980/3757] lr: 1.0000e-03 eta: 1 day, 4:56:06 time: 0.6063 data_time: 0.0217 memory: 17350 grad_norm: 7.0028 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3049 loss: 1.3049 2022/07/23 20:39:24 - mmengine - INFO - Epoch(train) [59][2000/3757] lr: 1.0000e-03 eta: 1 day, 4:55:53 time: 0.7398 data_time: 0.0230 memory: 17350 grad_norm: 7.0914 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2332 loss: 1.2332 2022/07/23 20:39:36 - mmengine - INFO - Epoch(train) [59][2020/3757] lr: 1.0000e-03 eta: 1 day, 4:55:39 time: 0.6060 data_time: 0.0252 memory: 17350 grad_norm: 6.8354 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9996 loss: 0.9996 2022/07/23 20:39:52 - mmengine - INFO - Epoch(train) [59][2040/3757] lr: 1.0000e-03 eta: 1 day, 4:55:27 time: 0.7693 data_time: 0.0208 memory: 17350 grad_norm: 7.3916 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1094 loss: 1.1094 2022/07/23 20:40:04 - mmengine - INFO - Epoch(train) [59][2060/3757] lr: 1.0000e-03 eta: 1 day, 4:55:13 time: 0.6203 data_time: 0.0233 memory: 17350 grad_norm: 7.0051 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3805 loss: 1.3805 2022/07/23 20:40:18 - mmengine - INFO - Epoch(train) [59][2080/3757] lr: 1.0000e-03 eta: 1 day, 4:55:00 time: 0.7073 data_time: 0.0215 memory: 17350 grad_norm: 7.1665 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2836 loss: 1.2836 2022/07/23 20:40:28 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 20:40:30 - mmengine - INFO - Epoch(train) [59][2100/3757] lr: 1.0000e-03 eta: 1 day, 4:54:46 time: 0.6131 data_time: 0.0234 memory: 17350 grad_norm: 6.8347 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2877 loss: 1.2877 2022/07/23 20:40:44 - mmengine - INFO - Epoch(train) [59][2120/3757] lr: 1.0000e-03 eta: 1 day, 4:54:33 time: 0.7004 data_time: 0.0233 memory: 17350 grad_norm: 7.0134 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2507 loss: 1.2507 2022/07/23 20:40:57 - mmengine - INFO - Epoch(train) [59][2140/3757] lr: 1.0000e-03 eta: 1 day, 4:54:19 time: 0.6333 data_time: 0.0433 memory: 17350 grad_norm: 7.0705 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1661 loss: 1.1661 2022/07/23 20:41:12 - mmengine - INFO - Epoch(train) [59][2160/3757] lr: 1.0000e-03 eta: 1 day, 4:54:07 time: 0.7188 data_time: 0.0211 memory: 17350 grad_norm: 6.8671 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1318 loss: 1.1318 2022/07/23 20:41:24 - mmengine - INFO - Epoch(train) [59][2180/3757] lr: 1.0000e-03 eta: 1 day, 4:53:53 time: 0.6226 data_time: 0.0233 memory: 17350 grad_norm: 7.2573 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3720 loss: 1.3720 2022/07/23 20:41:38 - mmengine - INFO - Epoch(train) [59][2200/3757] lr: 1.0000e-03 eta: 1 day, 4:53:39 time: 0.6757 data_time: 0.0224 memory: 17350 grad_norm: 6.9109 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2847 loss: 1.2847 2022/07/23 20:41:50 - mmengine - INFO - Epoch(train) [59][2220/3757] lr: 1.0000e-03 eta: 1 day, 4:53:25 time: 0.6097 data_time: 0.0215 memory: 17350 grad_norm: 6.7839 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1231 loss: 1.1231 2022/07/23 20:42:05 - mmengine - INFO - Epoch(train) [59][2240/3757] lr: 1.0000e-03 eta: 1 day, 4:53:13 time: 0.7602 data_time: 0.0263 memory: 17350 grad_norm: 7.0469 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9757 loss: 0.9757 2022/07/23 20:42:17 - mmengine - INFO - Epoch(train) [59][2260/3757] lr: 1.0000e-03 eta: 1 day, 4:52:59 time: 0.5963 data_time: 0.0230 memory: 17350 grad_norm: 7.3967 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4025 loss: 1.4025 2022/07/23 20:42:30 - mmengine - INFO - Epoch(train) [59][2280/3757] lr: 1.0000e-03 eta: 1 day, 4:52:45 time: 0.6536 data_time: 0.0210 memory: 17350 grad_norm: 6.9044 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1412 loss: 1.1412 2022/07/23 20:42:43 - mmengine - INFO - Epoch(train) [59][2300/3757] lr: 1.0000e-03 eta: 1 day, 4:52:31 time: 0.6345 data_time: 0.0239 memory: 17350 grad_norm: 7.1603 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2379 loss: 1.2379 2022/07/23 20:42:56 - mmengine - INFO - Epoch(train) [59][2320/3757] lr: 1.0000e-03 eta: 1 day, 4:52:18 time: 0.6456 data_time: 0.0215 memory: 17350 grad_norm: 7.2101 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3359 loss: 1.3359 2022/07/23 20:43:09 - mmengine - INFO - Epoch(train) [59][2340/3757] lr: 1.0000e-03 eta: 1 day, 4:52:04 time: 0.6591 data_time: 0.0252 memory: 17350 grad_norm: 7.0991 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4484 loss: 1.4484 2022/07/23 20:43:22 - mmengine - INFO - Epoch(train) [59][2360/3757] lr: 1.0000e-03 eta: 1 day, 4:51:51 time: 0.6748 data_time: 0.0234 memory: 17350 grad_norm: 7.5528 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2316 loss: 1.2316 2022/07/23 20:43:37 - mmengine - INFO - Epoch(train) [59][2380/3757] lr: 1.0000e-03 eta: 1 day, 4:51:38 time: 0.7338 data_time: 0.0212 memory: 17350 grad_norm: 6.7964 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1283 loss: 1.1283 2022/07/23 20:43:48 - mmengine - INFO - Epoch(train) [59][2400/3757] lr: 1.0000e-03 eta: 1 day, 4:51:24 time: 0.5708 data_time: 0.0243 memory: 17350 grad_norm: 7.0600 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0679 loss: 1.0679 2022/07/23 20:44:03 - mmengine - INFO - Epoch(train) [59][2420/3757] lr: 1.0000e-03 eta: 1 day, 4:51:11 time: 0.7283 data_time: 0.0214 memory: 17350 grad_norm: 7.0641 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2169 loss: 1.2169 2022/07/23 20:44:15 - mmengine - INFO - Epoch(train) [59][2440/3757] lr: 1.0000e-03 eta: 1 day, 4:50:57 time: 0.5770 data_time: 0.0433 memory: 17350 grad_norm: 7.2897 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5361 loss: 1.5361 2022/07/23 20:44:29 - mmengine - INFO - Epoch(train) [59][2460/3757] lr: 1.0000e-03 eta: 1 day, 4:50:44 time: 0.7104 data_time: 0.0343 memory: 17350 grad_norm: 7.2169 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0624 loss: 1.0624 2022/07/23 20:44:41 - mmengine - INFO - Epoch(train) [59][2480/3757] lr: 1.0000e-03 eta: 1 day, 4:50:30 time: 0.6195 data_time: 0.0817 memory: 17350 grad_norm: 6.8436 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2557 loss: 1.2557 2022/07/23 20:44:55 - mmengine - INFO - Epoch(train) [59][2500/3757] lr: 1.0000e-03 eta: 1 day, 4:50:17 time: 0.7024 data_time: 0.0817 memory: 17350 grad_norm: 7.1367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1568 loss: 1.1568 2022/07/23 20:45:10 - mmengine - INFO - Epoch(train) [59][2520/3757] lr: 1.0000e-03 eta: 1 day, 4:50:05 time: 0.7539 data_time: 0.0217 memory: 17350 grad_norm: 7.0869 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9133 loss: 0.9133 2022/07/23 20:45:23 - mmengine - INFO - Epoch(train) [59][2540/3757] lr: 1.0000e-03 eta: 1 day, 4:49:51 time: 0.6470 data_time: 0.0229 memory: 17350 grad_norm: 7.2889 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3656 loss: 1.3656 2022/07/23 20:45:39 - mmengine - INFO - Epoch(train) [59][2560/3757] lr: 1.0000e-03 eta: 1 day, 4:49:39 time: 0.7652 data_time: 0.0218 memory: 17350 grad_norm: 7.3801 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5804 loss: 1.5804 2022/07/23 20:45:50 - mmengine - INFO - Epoch(train) [59][2580/3757] lr: 1.0000e-03 eta: 1 day, 4:49:24 time: 0.5724 data_time: 0.0224 memory: 17350 grad_norm: 6.7020 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9980 loss: 0.9980 2022/07/23 20:46:04 - mmengine - INFO - Epoch(train) [59][2600/3757] lr: 1.0000e-03 eta: 1 day, 4:49:12 time: 0.7201 data_time: 0.0236 memory: 17350 grad_norm: 7.1135 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1202 loss: 1.1202 2022/07/23 20:46:17 - mmengine - INFO - Epoch(train) [59][2620/3757] lr: 1.0000e-03 eta: 1 day, 4:48:58 time: 0.6418 data_time: 0.0222 memory: 17350 grad_norm: 7.2029 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2137 loss: 1.2137 2022/07/23 20:46:31 - mmengine - INFO - Epoch(train) [59][2640/3757] lr: 1.0000e-03 eta: 1 day, 4:48:45 time: 0.6783 data_time: 0.0221 memory: 17350 grad_norm: 7.1946 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3526 loss: 1.3526 2022/07/23 20:46:43 - mmengine - INFO - Epoch(train) [59][2660/3757] lr: 1.0000e-03 eta: 1 day, 4:48:30 time: 0.5819 data_time: 0.0224 memory: 17350 grad_norm: 6.9541 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1404 loss: 1.1404 2022/07/23 20:46:56 - mmengine - INFO - Epoch(train) [59][2680/3757] lr: 1.0000e-03 eta: 1 day, 4:48:17 time: 0.6810 data_time: 0.0215 memory: 17350 grad_norm: 7.0780 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3306 loss: 1.3306 2022/07/23 20:47:08 - mmengine - INFO - Epoch(train) [59][2700/3757] lr: 1.0000e-03 eta: 1 day, 4:48:02 time: 0.5910 data_time: 0.0228 memory: 17350 grad_norm: 7.1433 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3736 loss: 1.3736 2022/07/23 20:47:23 - mmengine - INFO - Epoch(train) [59][2720/3757] lr: 1.0000e-03 eta: 1 day, 4:47:50 time: 0.7336 data_time: 0.0213 memory: 17350 grad_norm: 7.0028 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2633 loss: 1.2633 2022/07/23 20:47:35 - mmengine - INFO - Epoch(train) [59][2740/3757] lr: 1.0000e-03 eta: 1 day, 4:47:36 time: 0.5978 data_time: 0.0226 memory: 17350 grad_norm: 6.9782 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3687 loss: 1.3687 2022/07/23 20:47:49 - mmengine - INFO - Epoch(train) [59][2760/3757] lr: 1.0000e-03 eta: 1 day, 4:47:22 time: 0.6942 data_time: 0.0209 memory: 17350 grad_norm: 7.1068 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0998 loss: 1.0998 2022/07/23 20:48:02 - mmengine - INFO - Epoch(train) [59][2780/3757] lr: 1.0000e-03 eta: 1 day, 4:47:09 time: 0.6627 data_time: 0.0235 memory: 17350 grad_norm: 6.8788 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1389 loss: 1.1389 2022/07/23 20:48:15 - mmengine - INFO - Epoch(train) [59][2800/3757] lr: 1.0000e-03 eta: 1 day, 4:46:56 time: 0.6696 data_time: 0.0234 memory: 17350 grad_norm: 7.0414 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1864 loss: 1.1864 2022/07/23 20:48:29 - mmengine - INFO - Epoch(train) [59][2820/3757] lr: 1.0000e-03 eta: 1 day, 4:46:43 time: 0.7018 data_time: 0.0225 memory: 17350 grad_norm: 7.3308 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4673 loss: 1.4673 2022/07/23 20:48:43 - mmengine - INFO - Epoch(train) [59][2840/3757] lr: 1.0000e-03 eta: 1 day, 4:46:29 time: 0.6605 data_time: 0.0210 memory: 17350 grad_norm: 7.0503 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2500 loss: 1.2500 2022/07/23 20:48:56 - mmengine - INFO - Epoch(train) [59][2860/3757] lr: 1.0000e-03 eta: 1 day, 4:46:16 time: 0.6953 data_time: 0.0228 memory: 17350 grad_norm: 7.1557 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4089 loss: 1.4089 2022/07/23 20:49:09 - mmengine - INFO - Epoch(train) [59][2880/3757] lr: 1.0000e-03 eta: 1 day, 4:46:02 time: 0.6053 data_time: 0.0346 memory: 17350 grad_norm: 6.8512 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3485 loss: 1.3485 2022/07/23 20:49:23 - mmengine - INFO - Epoch(train) [59][2900/3757] lr: 1.0000e-03 eta: 1 day, 4:45:50 time: 0.7420 data_time: 0.0234 memory: 17350 grad_norm: 7.1144 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2257 loss: 1.2257 2022/07/23 20:49:35 - mmengine - INFO - Epoch(train) [59][2920/3757] lr: 1.0000e-03 eta: 1 day, 4:45:35 time: 0.5927 data_time: 0.0235 memory: 17350 grad_norm: 7.0916 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0461 loss: 1.0461 2022/07/23 20:49:49 - mmengine - INFO - Epoch(train) [59][2940/3757] lr: 1.0000e-03 eta: 1 day, 4:45:22 time: 0.6757 data_time: 0.0220 memory: 17350 grad_norm: 7.1452 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1596 loss: 1.1596 2022/07/23 20:50:01 - mmengine - INFO - Epoch(train) [59][2960/3757] lr: 1.0000e-03 eta: 1 day, 4:45:08 time: 0.6081 data_time: 0.0222 memory: 17350 grad_norm: 6.9983 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9793 loss: 0.9793 2022/07/23 20:50:16 - mmengine - INFO - Epoch(train) [59][2980/3757] lr: 1.0000e-03 eta: 1 day, 4:44:55 time: 0.7296 data_time: 0.0284 memory: 17350 grad_norm: 7.1530 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1234 loss: 1.1234 2022/07/23 20:50:28 - mmengine - INFO - Epoch(train) [59][3000/3757] lr: 1.0000e-03 eta: 1 day, 4:44:41 time: 0.6284 data_time: 0.0226 memory: 17350 grad_norm: 6.9832 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1040 loss: 1.1040 2022/07/23 20:50:43 - mmengine - INFO - Epoch(train) [59][3020/3757] lr: 1.0000e-03 eta: 1 day, 4:44:29 time: 0.7626 data_time: 0.0225 memory: 17350 grad_norm: 7.0167 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3529 loss: 1.3529 2022/07/23 20:50:55 - mmengine - INFO - Epoch(train) [59][3040/3757] lr: 1.0000e-03 eta: 1 day, 4:44:14 time: 0.5543 data_time: 0.0234 memory: 17350 grad_norm: 7.1092 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2588 loss: 1.2588 2022/07/23 20:51:10 - mmengine - INFO - Epoch(train) [59][3060/3757] lr: 1.0000e-03 eta: 1 day, 4:44:02 time: 0.7639 data_time: 0.0213 memory: 17350 grad_norm: 7.1812 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1314 loss: 1.1314 2022/07/23 20:51:23 - mmengine - INFO - Epoch(train) [59][3080/3757] lr: 1.0000e-03 eta: 1 day, 4:43:49 time: 0.6666 data_time: 0.0222 memory: 17350 grad_norm: 7.0561 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0051 loss: 1.0051 2022/07/23 20:51:33 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 20:51:37 - mmengine - INFO - Epoch(train) [59][3100/3757] lr: 1.0000e-03 eta: 1 day, 4:43:36 time: 0.6920 data_time: 0.0214 memory: 17350 grad_norm: 6.8157 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2007 loss: 1.2007 2022/07/23 20:51:49 - mmengine - INFO - Epoch(train) [59][3120/3757] lr: 1.0000e-03 eta: 1 day, 4:43:21 time: 0.5733 data_time: 0.0222 memory: 17350 grad_norm: 7.5501 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5023 loss: 1.5023 2022/07/23 20:52:04 - mmengine - INFO - Epoch(train) [59][3140/3757] lr: 1.0000e-03 eta: 1 day, 4:43:09 time: 0.7694 data_time: 0.0222 memory: 17350 grad_norm: 6.8420 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0563 loss: 1.0563 2022/07/23 20:52:16 - mmengine - INFO - Epoch(train) [59][3160/3757] lr: 1.0000e-03 eta: 1 day, 4:42:55 time: 0.5861 data_time: 0.0246 memory: 17350 grad_norm: 6.7859 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1961 loss: 1.1961 2022/07/23 20:52:29 - mmengine - INFO - Epoch(train) [59][3180/3757] lr: 1.0000e-03 eta: 1 day, 4:42:41 time: 0.6565 data_time: 0.0204 memory: 17350 grad_norm: 7.1136 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2165 loss: 1.2165 2022/07/23 20:52:41 - mmengine - INFO - Epoch(train) [59][3200/3757] lr: 1.0000e-03 eta: 1 day, 4:42:27 time: 0.6123 data_time: 0.0477 memory: 17350 grad_norm: 6.9131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0930 loss: 1.0930 2022/07/23 20:52:56 - mmengine - INFO - Epoch(train) [59][3220/3757] lr: 1.0000e-03 eta: 1 day, 4:42:15 time: 0.7454 data_time: 0.0216 memory: 17350 grad_norm: 6.9499 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1563 loss: 1.1563 2022/07/23 20:53:08 - mmengine - INFO - Epoch(train) [59][3240/3757] lr: 1.0000e-03 eta: 1 day, 4:42:00 time: 0.5889 data_time: 0.0239 memory: 17350 grad_norm: 7.1724 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3842 loss: 1.3842 2022/07/23 20:53:22 - mmengine - INFO - Epoch(train) [59][3260/3757] lr: 1.0000e-03 eta: 1 day, 4:41:48 time: 0.7200 data_time: 0.0370 memory: 17350 grad_norm: 7.1661 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2294 loss: 1.2294 2022/07/23 20:53:34 - mmengine - INFO - Epoch(train) [59][3280/3757] lr: 1.0000e-03 eta: 1 day, 4:41:33 time: 0.6067 data_time: 0.0227 memory: 17350 grad_norm: 7.1016 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3856 loss: 1.3856 2022/07/23 20:53:48 - mmengine - INFO - Epoch(train) [59][3300/3757] lr: 1.0000e-03 eta: 1 day, 4:41:20 time: 0.7004 data_time: 0.0278 memory: 17350 grad_norm: 7.0136 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3187 loss: 1.3187 2022/07/23 20:54:02 - mmengine - INFO - Epoch(train) [59][3320/3757] lr: 1.0000e-03 eta: 1 day, 4:41:07 time: 0.6724 data_time: 0.0873 memory: 17350 grad_norm: 7.1067 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2451 loss: 1.2451 2022/07/23 20:54:14 - mmengine - INFO - Epoch(train) [59][3340/3757] lr: 1.0000e-03 eta: 1 day, 4:40:53 time: 0.6018 data_time: 0.0543 memory: 17350 grad_norm: 6.9554 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1778 loss: 1.1778 2022/07/23 20:54:29 - mmengine - INFO - Epoch(train) [59][3360/3757] lr: 1.0000e-03 eta: 1 day, 4:40:40 time: 0.7462 data_time: 0.0769 memory: 17350 grad_norm: 6.8567 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2260 loss: 1.2260 2022/07/23 20:54:40 - mmengine - INFO - Epoch(train) [59][3380/3757] lr: 1.0000e-03 eta: 1 day, 4:40:26 time: 0.5776 data_time: 0.0467 memory: 17350 grad_norm: 7.2794 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1578 loss: 1.1578 2022/07/23 20:54:55 - mmengine - INFO - Epoch(train) [59][3400/3757] lr: 1.0000e-03 eta: 1 day, 4:40:13 time: 0.7419 data_time: 0.1035 memory: 17350 grad_norm: 7.3599 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1731 loss: 1.1731 2022/07/23 20:55:08 - mmengine - INFO - Epoch(train) [59][3420/3757] lr: 1.0000e-03 eta: 1 day, 4:39:59 time: 0.6146 data_time: 0.0767 memory: 17350 grad_norm: 6.8866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2600 loss: 1.2600 2022/07/23 20:55:22 - mmengine - INFO - Epoch(train) [59][3440/3757] lr: 1.0000e-03 eta: 1 day, 4:39:47 time: 0.7237 data_time: 0.0284 memory: 17350 grad_norm: 6.9816 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3277 loss: 1.3277 2022/07/23 20:55:34 - mmengine - INFO - Epoch(train) [59][3460/3757] lr: 1.0000e-03 eta: 1 day, 4:39:33 time: 0.6080 data_time: 0.0234 memory: 17350 grad_norm: 7.0074 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0593 loss: 1.0593 2022/07/23 20:55:49 - mmengine - INFO - Epoch(train) [59][3480/3757] lr: 1.0000e-03 eta: 1 day, 4:39:20 time: 0.7618 data_time: 0.0907 memory: 17350 grad_norm: 6.9765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2260 loss: 1.2260 2022/07/23 20:56:01 - mmengine - INFO - Epoch(train) [59][3500/3757] lr: 1.0000e-03 eta: 1 day, 4:39:06 time: 0.5712 data_time: 0.1205 memory: 17350 grad_norm: 7.3801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1812 loss: 1.1812 2022/07/23 20:56:15 - mmengine - INFO - Epoch(train) [59][3520/3757] lr: 1.0000e-03 eta: 1 day, 4:38:53 time: 0.7260 data_time: 0.0789 memory: 17350 grad_norm: 7.1339 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0270 loss: 1.0270 2022/07/23 20:56:28 - mmengine - INFO - Epoch(train) [59][3540/3757] lr: 1.0000e-03 eta: 1 day, 4:38:39 time: 0.6274 data_time: 0.0566 memory: 17350 grad_norm: 7.3940 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4149 loss: 1.4149 2022/07/23 20:56:43 - mmengine - INFO - Epoch(train) [59][3560/3757] lr: 1.0000e-03 eta: 1 day, 4:38:27 time: 0.7497 data_time: 0.2319 memory: 17350 grad_norm: 7.0940 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1451 loss: 1.1451 2022/07/23 20:56:55 - mmengine - INFO - Epoch(train) [59][3580/3757] lr: 1.0000e-03 eta: 1 day, 4:38:13 time: 0.6118 data_time: 0.1798 memory: 17350 grad_norm: 7.0512 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0903 loss: 1.0903 2022/07/23 20:57:09 - mmengine - INFO - Epoch(train) [59][3600/3757] lr: 1.0000e-03 eta: 1 day, 4:38:00 time: 0.6966 data_time: 0.2472 memory: 17350 grad_norm: 7.2146 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0912 loss: 1.0912 2022/07/23 20:57:21 - mmengine - INFO - Epoch(train) [59][3620/3757] lr: 1.0000e-03 eta: 1 day, 4:37:45 time: 0.5921 data_time: 0.1897 memory: 17350 grad_norm: 7.1273 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3697 loss: 1.3697 2022/07/23 20:57:35 - mmengine - INFO - Epoch(train) [59][3640/3757] lr: 1.0000e-03 eta: 1 day, 4:37:32 time: 0.6963 data_time: 0.2815 memory: 17350 grad_norm: 7.3246 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4183 loss: 1.4183 2022/07/23 20:57:47 - mmengine - INFO - Epoch(train) [59][3660/3757] lr: 1.0000e-03 eta: 1 day, 4:37:18 time: 0.5987 data_time: 0.1347 memory: 17350 grad_norm: 7.1389 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1840 loss: 1.1840 2022/07/23 20:58:02 - mmengine - INFO - Epoch(train) [59][3680/3757] lr: 1.0000e-03 eta: 1 day, 4:37:06 time: 0.7555 data_time: 0.3134 memory: 17350 grad_norm: 7.2134 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1472 loss: 1.1472 2022/07/23 20:58:14 - mmengine - INFO - Epoch(train) [59][3700/3757] lr: 1.0000e-03 eta: 1 day, 4:36:52 time: 0.6152 data_time: 0.2564 memory: 17350 grad_norm: 7.1918 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1790 loss: 1.1790 2022/07/23 20:58:29 - mmengine - INFO - Epoch(train) [59][3720/3757] lr: 1.0000e-03 eta: 1 day, 4:36:39 time: 0.7417 data_time: 0.3362 memory: 17350 grad_norm: 6.9903 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2069 loss: 1.2069 2022/07/23 20:58:41 - mmengine - INFO - Epoch(train) [59][3740/3757] lr: 1.0000e-03 eta: 1 day, 4:36:25 time: 0.5865 data_time: 0.2412 memory: 17350 grad_norm: 6.9551 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9906 loss: 0.9906 2022/07/23 20:58:49 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 20:58:49 - mmengine - INFO - Epoch(train) [59][3757/3757] lr: 1.0000e-03 eta: 1 day, 4:36:25 time: 0.4283 data_time: 0.0779 memory: 17350 grad_norm: 6.9762 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.4069 loss: 1.4069 2022/07/23 20:59:05 - mmengine - INFO - Epoch(val) [59][20/310] eta: 0:04:03 time: 0.8391 data_time: 0.7251 memory: 3406 2022/07/23 20:59:16 - mmengine - INFO - Epoch(val) [59][40/310] eta: 0:02:20 time: 0.5220 data_time: 0.4073 memory: 3406 2022/07/23 20:59:31 - mmengine - INFO - Epoch(val) [59][60/310] eta: 0:03:10 time: 0.7619 data_time: 0.6478 memory: 3406 2022/07/23 20:59:42 - mmengine - INFO - Epoch(val) [59][80/310] eta: 0:02:06 time: 0.5511 data_time: 0.4373 memory: 3406 2022/07/23 20:59:58 - mmengine - INFO - Epoch(val) [59][100/310] eta: 0:02:44 time: 0.7845 data_time: 0.6691 memory: 3406 2022/07/23 21:00:09 - mmengine - INFO - Epoch(val) [59][120/310] eta: 0:01:51 time: 0.5855 data_time: 0.4731 memory: 3406 2022/07/23 21:00:24 - mmengine - INFO - Epoch(val) [59][140/310] eta: 0:02:02 time: 0.7225 data_time: 0.6074 memory: 3406 2022/07/23 21:00:35 - mmengine - INFO - Epoch(val) [59][160/310] eta: 0:01:26 time: 0.5764 data_time: 0.4644 memory: 3406 2022/07/23 21:00:50 - mmengine - INFO - Epoch(val) [59][180/310] eta: 0:01:32 time: 0.7096 data_time: 0.5964 memory: 3406 2022/07/23 21:01:03 - mmengine - INFO - Epoch(val) [59][200/310] eta: 0:01:11 time: 0.6522 data_time: 0.5361 memory: 3406 2022/07/23 21:01:17 - mmengine - INFO - Epoch(val) [59][220/310] eta: 0:01:04 time: 0.7133 data_time: 0.6000 memory: 3406 2022/07/23 21:01:29 - mmengine - INFO - Epoch(val) [59][240/310] eta: 0:00:43 time: 0.6192 data_time: 0.5079 memory: 3406 2022/07/23 21:01:42 - mmengine - INFO - Epoch(val) [59][260/310] eta: 0:00:32 time: 0.6519 data_time: 0.5380 memory: 3406 2022/07/23 21:01:56 - mmengine - INFO - Epoch(val) [59][280/310] eta: 0:00:19 time: 0.6594 data_time: 0.5442 memory: 3406 2022/07/23 21:02:09 - mmengine - INFO - Epoch(val) [59][300/310] eta: 0:00:06 time: 0.6640 data_time: 0.5509 memory: 3406 2022/07/23 21:02:15 - mmengine - INFO - Epoch(val) [59][310/310] acc/top1: 0.6765 acc/top5: 0.8738 acc/mean1: 0.6764 2022/07/23 21:02:33 - mmengine - INFO - Epoch(train) [60][20/3757] lr: 1.0000e-03 eta: 1 day, 4:35:56 time: 0.9116 data_time: 0.5476 memory: 17350 grad_norm: 7.1521 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2784 loss: 1.2784 2022/07/23 21:02:45 - mmengine - INFO - Epoch(train) [60][40/3757] lr: 1.0000e-03 eta: 1 day, 4:35:42 time: 0.6173 data_time: 0.2664 memory: 17350 grad_norm: 7.2851 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4274 loss: 1.4274 2022/07/23 21:03:00 - mmengine - INFO - Epoch(train) [60][60/3757] lr: 1.0000e-03 eta: 1 day, 4:35:29 time: 0.7347 data_time: 0.3886 memory: 17350 grad_norm: 6.7332 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2516 loss: 1.2516 2022/07/23 21:03:12 - mmengine - INFO - Epoch(train) [60][80/3757] lr: 1.0000e-03 eta: 1 day, 4:35:15 time: 0.5960 data_time: 0.2628 memory: 17350 grad_norm: 6.9274 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2587 loss: 1.2587 2022/07/23 21:03:27 - mmengine - INFO - Epoch(train) [60][100/3757] lr: 1.0000e-03 eta: 1 day, 4:35:03 time: 0.7560 data_time: 0.4221 memory: 17350 grad_norm: 7.1635 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1667 loss: 1.1667 2022/07/23 21:03:40 - mmengine - INFO - Epoch(train) [60][120/3757] lr: 1.0000e-03 eta: 1 day, 4:34:49 time: 0.6508 data_time: 0.3155 memory: 17350 grad_norm: 7.2601 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1572 loss: 1.1572 2022/07/23 21:03:54 - mmengine - INFO - Epoch(train) [60][140/3757] lr: 1.0000e-03 eta: 1 day, 4:34:36 time: 0.6884 data_time: 0.3518 memory: 17350 grad_norm: 7.2037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3232 loss: 1.3232 2022/07/23 21:04:06 - mmengine - INFO - Epoch(train) [60][160/3757] lr: 1.0000e-03 eta: 1 day, 4:34:22 time: 0.6032 data_time: 0.2611 memory: 17350 grad_norm: 6.9346 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3459 loss: 1.3459 2022/07/23 21:04:21 - mmengine - INFO - Epoch(train) [60][180/3757] lr: 1.0000e-03 eta: 1 day, 4:34:09 time: 0.7493 data_time: 0.4129 memory: 17350 grad_norm: 7.3053 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2539 loss: 1.2539 2022/07/23 21:04:34 - mmengine - INFO - Epoch(train) [60][200/3757] lr: 1.0000e-03 eta: 1 day, 4:33:56 time: 0.6381 data_time: 0.3030 memory: 17350 grad_norm: 7.0289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4255 loss: 1.4255 2022/07/23 21:04:47 - mmengine - INFO - Epoch(train) [60][220/3757] lr: 1.0000e-03 eta: 1 day, 4:33:42 time: 0.6536 data_time: 0.3192 memory: 17350 grad_norm: 6.8897 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3933 loss: 1.3933 2022/07/23 21:04:59 - mmengine - INFO - Epoch(train) [60][240/3757] lr: 1.0000e-03 eta: 1 day, 4:33:28 time: 0.6160 data_time: 0.2794 memory: 17350 grad_norm: 7.2019 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0990 loss: 1.0990 2022/07/23 21:05:14 - mmengine - INFO - Epoch(train) [60][260/3757] lr: 1.0000e-03 eta: 1 day, 4:33:15 time: 0.7321 data_time: 0.3860 memory: 17350 grad_norm: 6.9356 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3097 loss: 1.3097 2022/07/23 21:05:27 - mmengine - INFO - Epoch(train) [60][280/3757] lr: 1.0000e-03 eta: 1 day, 4:33:02 time: 0.6424 data_time: 0.3203 memory: 17350 grad_norm: 6.8298 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9849 loss: 0.9849 2022/07/23 21:05:40 - mmengine - INFO - Epoch(train) [60][300/3757] lr: 1.0000e-03 eta: 1 day, 4:32:48 time: 0.6517 data_time: 0.2804 memory: 17350 grad_norm: 6.7566 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2252 loss: 1.2252 2022/07/23 21:05:54 - mmengine - INFO - Epoch(train) [60][320/3757] lr: 1.0000e-03 eta: 1 day, 4:32:35 time: 0.7141 data_time: 0.3316 memory: 17350 grad_norm: 7.1732 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2113 loss: 1.2113 2022/07/23 21:06:05 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 21:06:07 - mmengine - INFO - Epoch(train) [60][340/3757] lr: 1.0000e-03 eta: 1 day, 4:32:21 time: 0.6234 data_time: 0.2561 memory: 17350 grad_norm: 7.1811 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1442 loss: 1.1442 2022/07/23 21:06:21 - mmengine - INFO - Epoch(train) [60][360/3757] lr: 1.0000e-03 eta: 1 day, 4:32:09 time: 0.7240 data_time: 0.1243 memory: 17350 grad_norm: 7.0406 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1615 loss: 1.1615 2022/07/23 21:06:34 - mmengine - INFO - Epoch(train) [60][380/3757] lr: 1.0000e-03 eta: 1 day, 4:31:55 time: 0.6364 data_time: 0.0220 memory: 17350 grad_norm: 7.2792 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0738 loss: 1.0738 2022/07/23 21:06:48 - mmengine - INFO - Epoch(train) [60][400/3757] lr: 1.0000e-03 eta: 1 day, 4:31:42 time: 0.7115 data_time: 0.0240 memory: 17350 grad_norm: 7.0753 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1160 loss: 1.1160 2022/07/23 21:07:00 - mmengine - INFO - Epoch(train) [60][420/3757] lr: 1.0000e-03 eta: 1 day, 4:31:28 time: 0.5816 data_time: 0.0210 memory: 17350 grad_norm: 6.8394 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9958 loss: 0.9958 2022/07/23 21:07:15 - mmengine - INFO - Epoch(train) [60][440/3757] lr: 1.0000e-03 eta: 1 day, 4:31:16 time: 0.7634 data_time: 0.0232 memory: 17350 grad_norm: 7.2303 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9704 loss: 0.9704 2022/07/23 21:07:26 - mmengine - INFO - Epoch(train) [60][460/3757] lr: 1.0000e-03 eta: 1 day, 4:31:01 time: 0.5731 data_time: 0.0261 memory: 17350 grad_norm: 7.2158 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2022 loss: 1.2022 2022/07/23 21:07:41 - mmengine - INFO - Epoch(train) [60][480/3757] lr: 1.0000e-03 eta: 1 day, 4:30:48 time: 0.7076 data_time: 0.0226 memory: 17350 grad_norm: 6.9356 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2125 loss: 1.2125 2022/07/23 21:07:53 - mmengine - INFO - Epoch(train) [60][500/3757] lr: 1.0000e-03 eta: 1 day, 4:30:34 time: 0.5926 data_time: 0.0236 memory: 17350 grad_norm: 7.1654 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1439 loss: 1.1439 2022/07/23 21:08:07 - mmengine - INFO - Epoch(train) [60][520/3757] lr: 1.0000e-03 eta: 1 day, 4:30:21 time: 0.7147 data_time: 0.0226 memory: 17350 grad_norm: 7.0002 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1835 loss: 1.1835 2022/07/23 21:08:20 - mmengine - INFO - Epoch(train) [60][540/3757] lr: 1.0000e-03 eta: 1 day, 4:30:07 time: 0.6368 data_time: 0.0211 memory: 17350 grad_norm: 7.1928 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3274 loss: 1.3274 2022/07/23 21:08:34 - mmengine - INFO - Epoch(train) [60][560/3757] lr: 1.0000e-03 eta: 1 day, 4:29:54 time: 0.6952 data_time: 0.0220 memory: 17350 grad_norm: 7.0741 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8156 loss: 0.8156 2022/07/23 21:08:46 - mmengine - INFO - Epoch(train) [60][580/3757] lr: 1.0000e-03 eta: 1 day, 4:29:40 time: 0.6214 data_time: 0.0224 memory: 17350 grad_norm: 7.2789 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5193 loss: 1.5193 2022/07/23 21:09:00 - mmengine - INFO - Epoch(train) [60][600/3757] lr: 1.0000e-03 eta: 1 day, 4:29:27 time: 0.6890 data_time: 0.0211 memory: 17350 grad_norm: 6.7671 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1986 loss: 1.1986 2022/07/23 21:09:12 - mmengine - INFO - Epoch(train) [60][620/3757] lr: 1.0000e-03 eta: 1 day, 4:29:13 time: 0.6081 data_time: 0.0210 memory: 17350 grad_norm: 6.8282 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0506 loss: 1.0506 2022/07/23 21:09:27 - mmengine - INFO - Epoch(train) [60][640/3757] lr: 1.0000e-03 eta: 1 day, 4:29:00 time: 0.7418 data_time: 0.0262 memory: 17350 grad_norm: 7.4243 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3760 loss: 1.3760 2022/07/23 21:09:39 - mmengine - INFO - Epoch(train) [60][660/3757] lr: 1.0000e-03 eta: 1 day, 4:28:47 time: 0.6270 data_time: 0.0230 memory: 17350 grad_norm: 6.9910 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0517 loss: 1.0517 2022/07/23 21:09:53 - mmengine - INFO - Epoch(train) [60][680/3757] lr: 1.0000e-03 eta: 1 day, 4:28:34 time: 0.6957 data_time: 0.0231 memory: 17350 grad_norm: 7.0668 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3163 loss: 1.3163 2022/07/23 21:10:07 - mmengine - INFO - Epoch(train) [60][700/3757] lr: 1.0000e-03 eta: 1 day, 4:28:20 time: 0.6731 data_time: 0.0238 memory: 17350 grad_norm: 7.1646 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1974 loss: 1.1974 2022/07/23 21:10:20 - mmengine - INFO - Epoch(train) [60][720/3757] lr: 1.0000e-03 eta: 1 day, 4:28:07 time: 0.6830 data_time: 0.0199 memory: 17350 grad_norm: 6.9761 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3027 loss: 1.3027 2022/07/23 21:10:33 - mmengine - INFO - Epoch(train) [60][740/3757] lr: 1.0000e-03 eta: 1 day, 4:27:53 time: 0.6429 data_time: 0.0242 memory: 17350 grad_norm: 7.3662 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2476 loss: 1.2476 2022/07/23 21:10:47 - mmengine - INFO - Epoch(train) [60][760/3757] lr: 1.0000e-03 eta: 1 day, 4:27:40 time: 0.7027 data_time: 0.0237 memory: 17350 grad_norm: 6.9060 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1660 loss: 1.1660 2022/07/23 21:11:00 - mmengine - INFO - Epoch(train) [60][780/3757] lr: 1.0000e-03 eta: 1 day, 4:27:27 time: 0.6377 data_time: 0.0212 memory: 17350 grad_norm: 7.2264 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1601 loss: 1.1601 2022/07/23 21:11:15 - mmengine - INFO - Epoch(train) [60][800/3757] lr: 1.0000e-03 eta: 1 day, 4:27:14 time: 0.7557 data_time: 0.0217 memory: 17350 grad_norm: 6.7917 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2373 loss: 1.2373 2022/07/23 21:11:28 - mmengine - INFO - Epoch(train) [60][820/3757] lr: 1.0000e-03 eta: 1 day, 4:27:00 time: 0.6176 data_time: 0.0216 memory: 17350 grad_norm: 7.0652 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0288 loss: 1.0288 2022/07/23 21:11:42 - mmengine - INFO - Epoch(train) [60][840/3757] lr: 1.0000e-03 eta: 1 day, 4:26:48 time: 0.7041 data_time: 0.0224 memory: 17350 grad_norm: 7.0469 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0296 loss: 1.0296 2022/07/23 21:11:54 - mmengine - INFO - Epoch(train) [60][860/3757] lr: 1.0000e-03 eta: 1 day, 4:26:33 time: 0.6069 data_time: 0.0204 memory: 17350 grad_norm: 7.0047 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2635 loss: 1.2635 2022/07/23 21:12:09 - mmengine - INFO - Epoch(train) [60][880/3757] lr: 1.0000e-03 eta: 1 day, 4:26:21 time: 0.7456 data_time: 0.0297 memory: 17350 grad_norm: 6.7708 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9911 loss: 0.9911 2022/07/23 21:12:21 - mmengine - INFO - Epoch(train) [60][900/3757] lr: 1.0000e-03 eta: 1 day, 4:26:07 time: 0.5923 data_time: 0.0212 memory: 17350 grad_norm: 7.0614 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0194 loss: 1.0194 2022/07/23 21:12:35 - mmengine - INFO - Epoch(train) [60][920/3757] lr: 1.0000e-03 eta: 1 day, 4:25:54 time: 0.7413 data_time: 0.0231 memory: 17350 grad_norm: 7.0652 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4411 loss: 1.4411 2022/07/23 21:12:47 - mmengine - INFO - Epoch(train) [60][940/3757] lr: 1.0000e-03 eta: 1 day, 4:25:40 time: 0.5920 data_time: 0.0225 memory: 17350 grad_norm: 7.4653 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3982 loss: 1.3982 2022/07/23 21:13:02 - mmengine - INFO - Epoch(train) [60][960/3757] lr: 1.0000e-03 eta: 1 day, 4:25:27 time: 0.7289 data_time: 0.0210 memory: 17350 grad_norm: 7.2647 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0377 loss: 1.0377 2022/07/23 21:13:14 - mmengine - INFO - Epoch(train) [60][980/3757] lr: 1.0000e-03 eta: 1 day, 4:25:13 time: 0.6040 data_time: 0.0228 memory: 17350 grad_norm: 6.9880 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3881 loss: 1.3881 2022/07/23 21:13:29 - mmengine - INFO - Epoch(train) [60][1000/3757] lr: 1.0000e-03 eta: 1 day, 4:25:01 time: 0.7379 data_time: 0.0221 memory: 17350 grad_norm: 6.9202 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.2568 loss: 1.2568 2022/07/23 21:13:41 - mmengine - INFO - Epoch(train) [60][1020/3757] lr: 1.0000e-03 eta: 1 day, 4:24:47 time: 0.6271 data_time: 0.0210 memory: 17350 grad_norm: 6.8139 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2609 loss: 1.2609 2022/07/23 21:13:55 - mmengine - INFO - Epoch(train) [60][1040/3757] lr: 1.0000e-03 eta: 1 day, 4:24:33 time: 0.6809 data_time: 0.0253 memory: 17350 grad_norm: 7.0498 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2872 loss: 1.2872 2022/07/23 21:14:07 - mmengine - INFO - Epoch(train) [60][1060/3757] lr: 1.0000e-03 eta: 1 day, 4:24:19 time: 0.6180 data_time: 0.0404 memory: 17350 grad_norm: 6.8542 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9217 loss: 0.9217 2022/07/23 21:14:23 - mmengine - INFO - Epoch(train) [60][1080/3757] lr: 1.0000e-03 eta: 1 day, 4:24:07 time: 0.7604 data_time: 0.0208 memory: 17350 grad_norm: 7.2038 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0929 loss: 1.0929 2022/07/23 21:14:35 - mmengine - INFO - Epoch(train) [60][1100/3757] lr: 1.0000e-03 eta: 1 day, 4:23:53 time: 0.6075 data_time: 0.0241 memory: 17350 grad_norm: 7.0404 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2245 loss: 1.2245 2022/07/23 21:14:49 - mmengine - INFO - Epoch(train) [60][1120/3757] lr: 1.0000e-03 eta: 1 day, 4:23:40 time: 0.6901 data_time: 0.0225 memory: 17350 grad_norm: 7.1429 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0227 loss: 1.0227 2022/07/23 21:15:01 - mmengine - INFO - Epoch(train) [60][1140/3757] lr: 1.0000e-03 eta: 1 day, 4:23:26 time: 0.6230 data_time: 0.0227 memory: 17350 grad_norm: 7.0507 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3359 loss: 1.3359 2022/07/23 21:15:15 - mmengine - INFO - Epoch(train) [60][1160/3757] lr: 1.0000e-03 eta: 1 day, 4:23:13 time: 0.7240 data_time: 0.0268 memory: 17350 grad_norm: 7.3658 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2612 loss: 1.2612 2022/07/23 21:15:27 - mmengine - INFO - Epoch(train) [60][1180/3757] lr: 1.0000e-03 eta: 1 day, 4:22:59 time: 0.5966 data_time: 0.0388 memory: 17350 grad_norm: 7.2682 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1662 loss: 1.1662 2022/07/23 21:15:43 - mmengine - INFO - Epoch(train) [60][1200/3757] lr: 1.0000e-03 eta: 1 day, 4:22:47 time: 0.7738 data_time: 0.0233 memory: 17350 grad_norm: 6.9860 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9372 loss: 0.9372 2022/07/23 21:15:54 - mmengine - INFO - Epoch(train) [60][1220/3757] lr: 1.0000e-03 eta: 1 day, 4:22:32 time: 0.5744 data_time: 0.0222 memory: 17350 grad_norm: 7.1954 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1044 loss: 1.1044 2022/07/23 21:16:09 - mmengine - INFO - Epoch(train) [60][1240/3757] lr: 1.0000e-03 eta: 1 day, 4:22:20 time: 0.7133 data_time: 0.0231 memory: 17350 grad_norm: 7.1915 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1416 loss: 1.1416 2022/07/23 21:16:20 - mmengine - INFO - Epoch(train) [60][1260/3757] lr: 1.0000e-03 eta: 1 day, 4:22:05 time: 0.5838 data_time: 0.0212 memory: 17350 grad_norm: 7.0464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9976 loss: 0.9976 2022/07/23 21:16:35 - mmengine - INFO - Epoch(train) [60][1280/3757] lr: 1.0000e-03 eta: 1 day, 4:21:53 time: 0.7211 data_time: 0.0492 memory: 17350 grad_norm: 7.1225 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9749 loss: 0.9749 2022/07/23 21:16:47 - mmengine - INFO - Epoch(train) [60][1300/3757] lr: 1.0000e-03 eta: 1 day, 4:21:38 time: 0.5954 data_time: 0.0403 memory: 17350 grad_norm: 6.9431 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3325 loss: 1.3325 2022/07/23 21:17:01 - mmengine - INFO - Epoch(train) [60][1320/3757] lr: 1.0000e-03 eta: 1 day, 4:21:26 time: 0.7342 data_time: 0.0237 memory: 17350 grad_norm: 7.0085 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0325 loss: 1.0325 2022/07/23 21:17:12 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 21:17:13 - mmengine - INFO - Epoch(train) [60][1340/3757] lr: 1.0000e-03 eta: 1 day, 4:21:11 time: 0.5715 data_time: 0.0246 memory: 17350 grad_norm: 7.2031 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1777 loss: 1.1777 2022/07/23 21:17:27 - mmengine - INFO - Epoch(train) [60][1360/3757] lr: 1.0000e-03 eta: 1 day, 4:20:58 time: 0.7234 data_time: 0.0212 memory: 17350 grad_norm: 6.9476 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2180 loss: 1.2180 2022/07/23 21:17:40 - mmengine - INFO - Epoch(train) [60][1380/3757] lr: 1.0000e-03 eta: 1 day, 4:20:44 time: 0.6156 data_time: 0.0237 memory: 17350 grad_norm: 7.0224 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3085 loss: 1.3085 2022/07/23 21:17:54 - mmengine - INFO - Epoch(train) [60][1400/3757] lr: 1.0000e-03 eta: 1 day, 4:20:31 time: 0.7062 data_time: 0.0208 memory: 17350 grad_norm: 7.2501 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2332 loss: 1.2332 2022/07/23 21:18:06 - mmengine - INFO - Epoch(train) [60][1420/3757] lr: 1.0000e-03 eta: 1 day, 4:20:17 time: 0.5871 data_time: 0.0216 memory: 17350 grad_norm: 7.3362 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3005 loss: 1.3005 2022/07/23 21:18:20 - mmengine - INFO - Epoch(train) [60][1440/3757] lr: 1.0000e-03 eta: 1 day, 4:20:04 time: 0.7231 data_time: 0.0212 memory: 17350 grad_norm: 7.1821 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3941 loss: 1.3941 2022/07/23 21:18:33 - mmengine - INFO - Epoch(train) [60][1460/3757] lr: 1.0000e-03 eta: 1 day, 4:19:51 time: 0.6410 data_time: 0.0214 memory: 17350 grad_norm: 6.8889 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4547 loss: 1.4547 2022/07/23 21:18:46 - mmengine - INFO - Epoch(train) [60][1480/3757] lr: 1.0000e-03 eta: 1 day, 4:19:37 time: 0.6760 data_time: 0.1193 memory: 17350 grad_norm: 7.1322 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0278 loss: 1.0278 2022/07/23 21:19:00 - mmengine - INFO - Epoch(train) [60][1500/3757] lr: 1.0000e-03 eta: 1 day, 4:19:24 time: 0.6923 data_time: 0.0993 memory: 17350 grad_norm: 7.1422 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1103 loss: 1.1103 2022/07/23 21:19:13 - mmengine - INFO - Epoch(train) [60][1520/3757] lr: 1.0000e-03 eta: 1 day, 4:19:10 time: 0.6387 data_time: 0.1477 memory: 17350 grad_norm: 7.1782 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.1818 loss: 1.1818 2022/07/23 21:19:27 - mmengine - INFO - Epoch(train) [60][1540/3757] lr: 1.0000e-03 eta: 1 day, 4:18:58 time: 0.6974 data_time: 0.0700 memory: 17350 grad_norm: 6.8520 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9404 loss: 0.9404 2022/07/23 21:19:40 - mmengine - INFO - Epoch(train) [60][1560/3757] lr: 1.0000e-03 eta: 1 day, 4:18:44 time: 0.6544 data_time: 0.0401 memory: 17350 grad_norm: 7.0354 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0837 loss: 1.0837 2022/07/23 21:19:54 - mmengine - INFO - Epoch(train) [60][1580/3757] lr: 1.0000e-03 eta: 1 day, 4:18:31 time: 0.6788 data_time: 0.0206 memory: 17350 grad_norm: 7.2112 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2651 loss: 1.2651 2022/07/23 21:20:07 - mmengine - INFO - Epoch(train) [60][1600/3757] lr: 1.0000e-03 eta: 1 day, 4:18:17 time: 0.6660 data_time: 0.0245 memory: 17350 grad_norm: 7.2958 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2544 loss: 1.2544 2022/07/23 21:20:22 - mmengine - INFO - Epoch(train) [60][1620/3757] lr: 1.0000e-03 eta: 1 day, 4:18:05 time: 0.7548 data_time: 0.0206 memory: 17350 grad_norm: 7.2289 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4311 loss: 1.4311 2022/07/23 21:20:33 - mmengine - INFO - Epoch(train) [60][1640/3757] lr: 1.0000e-03 eta: 1 day, 4:17:50 time: 0.5567 data_time: 0.0211 memory: 17350 grad_norm: 7.2586 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2095 loss: 1.2095 2022/07/23 21:20:48 - mmengine - INFO - Epoch(train) [60][1660/3757] lr: 1.0000e-03 eta: 1 day, 4:17:38 time: 0.7506 data_time: 0.0213 memory: 17350 grad_norm: 6.8297 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0701 loss: 1.0701 2022/07/23 21:21:00 - mmengine - INFO - Epoch(train) [60][1680/3757] lr: 1.0000e-03 eta: 1 day, 4:17:23 time: 0.5784 data_time: 0.0265 memory: 17350 grad_norm: 7.3103 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3047 loss: 1.3047 2022/07/23 21:21:15 - mmengine - INFO - Epoch(train) [60][1700/3757] lr: 1.0000e-03 eta: 1 day, 4:17:11 time: 0.7469 data_time: 0.0224 memory: 17350 grad_norm: 7.0567 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2545 loss: 1.2545 2022/07/23 21:21:27 - mmengine - INFO - Epoch(train) [60][1720/3757] lr: 1.0000e-03 eta: 1 day, 4:16:57 time: 0.6169 data_time: 0.0228 memory: 17350 grad_norm: 6.8543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1054 loss: 1.1054 2022/07/23 21:21:41 - mmengine - INFO - Epoch(train) [60][1740/3757] lr: 1.0000e-03 eta: 1 day, 4:16:44 time: 0.6728 data_time: 0.0228 memory: 17350 grad_norm: 7.0360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2884 loss: 1.2884 2022/07/23 21:21:54 - mmengine - INFO - Epoch(train) [60][1760/3757] lr: 1.0000e-03 eta: 1 day, 4:16:30 time: 0.6500 data_time: 0.0237 memory: 17350 grad_norm: 7.0846 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9568 loss: 0.9568 2022/07/23 21:22:08 - mmengine - INFO - Epoch(train) [60][1780/3757] lr: 1.0000e-03 eta: 1 day, 4:16:18 time: 0.7297 data_time: 0.0212 memory: 17350 grad_norm: 7.5648 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5130 loss: 1.5130 2022/07/23 21:22:20 - mmengine - INFO - Epoch(train) [60][1800/3757] lr: 1.0000e-03 eta: 1 day, 4:16:03 time: 0.5981 data_time: 0.0253 memory: 17350 grad_norm: 7.2377 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2876 loss: 1.2876 2022/07/23 21:22:35 - mmengine - INFO - Epoch(train) [60][1820/3757] lr: 1.0000e-03 eta: 1 day, 4:15:51 time: 0.7437 data_time: 0.0205 memory: 17350 grad_norm: 7.0386 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9454 loss: 0.9454 2022/07/23 21:22:46 - mmengine - INFO - Epoch(train) [60][1840/3757] lr: 1.0000e-03 eta: 1 day, 4:15:36 time: 0.5563 data_time: 0.0241 memory: 17350 grad_norm: 7.1594 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3357 loss: 1.3357 2022/07/23 21:23:00 - mmengine - INFO - Epoch(train) [60][1860/3757] lr: 1.0000e-03 eta: 1 day, 4:15:23 time: 0.6941 data_time: 0.0213 memory: 17350 grad_norm: 6.8609 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1010 loss: 1.1010 2022/07/23 21:23:12 - mmengine - INFO - Epoch(train) [60][1880/3757] lr: 1.0000e-03 eta: 1 day, 4:15:09 time: 0.6046 data_time: 0.0307 memory: 17350 grad_norm: 6.9247 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2712 loss: 1.2712 2022/07/23 21:23:26 - mmengine - INFO - Epoch(train) [60][1900/3757] lr: 1.0000e-03 eta: 1 day, 4:14:56 time: 0.6809 data_time: 0.0776 memory: 17350 grad_norm: 7.0721 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1086 loss: 1.1086 2022/07/23 21:23:40 - mmengine - INFO - Epoch(train) [60][1920/3757] lr: 1.0000e-03 eta: 1 day, 4:14:42 time: 0.6876 data_time: 0.1232 memory: 17350 grad_norm: 7.2571 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1208 loss: 1.1208 2022/07/23 21:23:53 - mmengine - INFO - Epoch(train) [60][1940/3757] lr: 1.0000e-03 eta: 1 day, 4:14:29 time: 0.6489 data_time: 0.2217 memory: 17350 grad_norm: 7.2976 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2749 loss: 1.2749 2022/07/23 21:24:08 - mmengine - INFO - Epoch(train) [60][1960/3757] lr: 1.0000e-03 eta: 1 day, 4:14:17 time: 0.7596 data_time: 0.4307 memory: 17350 grad_norm: 7.2276 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1461 loss: 1.1461 2022/07/23 21:24:20 - mmengine - INFO - Epoch(train) [60][1980/3757] lr: 1.0000e-03 eta: 1 day, 4:14:02 time: 0.5825 data_time: 0.2495 memory: 17350 grad_norm: 7.2355 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1083 loss: 1.1083 2022/07/23 21:24:34 - mmengine - INFO - Epoch(train) [60][2000/3757] lr: 1.0000e-03 eta: 1 day, 4:13:50 time: 0.7388 data_time: 0.4034 memory: 17350 grad_norm: 7.2690 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4771 loss: 1.4771 2022/07/23 21:24:47 - mmengine - INFO - Epoch(train) [60][2020/3757] lr: 1.0000e-03 eta: 1 day, 4:13:36 time: 0.6250 data_time: 0.2900 memory: 17350 grad_norm: 6.9520 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2009 loss: 1.2009 2022/07/23 21:25:00 - mmengine - INFO - Epoch(train) [60][2040/3757] lr: 1.0000e-03 eta: 1 day, 4:13:23 time: 0.6774 data_time: 0.3454 memory: 17350 grad_norm: 7.3373 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2002 loss: 1.2002 2022/07/23 21:25:14 - mmengine - INFO - Epoch(train) [60][2060/3757] lr: 1.0000e-03 eta: 1 day, 4:13:09 time: 0.6642 data_time: 0.3345 memory: 17350 grad_norm: 7.4407 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3286 loss: 1.3286 2022/07/23 21:25:27 - mmengine - INFO - Epoch(train) [60][2080/3757] lr: 1.0000e-03 eta: 1 day, 4:12:56 time: 0.6807 data_time: 0.3550 memory: 17350 grad_norm: 7.0122 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3696 loss: 1.3696 2022/07/23 21:25:40 - mmengine - INFO - Epoch(train) [60][2100/3757] lr: 1.0000e-03 eta: 1 day, 4:12:42 time: 0.6518 data_time: 0.3155 memory: 17350 grad_norm: 7.1054 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1940 loss: 1.1940 2022/07/23 21:25:56 - mmengine - INFO - Epoch(train) [60][2120/3757] lr: 1.0000e-03 eta: 1 day, 4:12:30 time: 0.7677 data_time: 0.4357 memory: 17350 grad_norm: 7.1140 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0972 loss: 1.0972 2022/07/23 21:26:07 - mmengine - INFO - Epoch(train) [60][2140/3757] lr: 1.0000e-03 eta: 1 day, 4:12:15 time: 0.5653 data_time: 0.2312 memory: 17350 grad_norm: 6.7906 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2152 loss: 1.2152 2022/07/23 21:26:22 - mmengine - INFO - Epoch(train) [60][2160/3757] lr: 1.0000e-03 eta: 1 day, 4:12:03 time: 0.7555 data_time: 0.4231 memory: 17350 grad_norm: 6.9233 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3354 loss: 1.3354 2022/07/23 21:26:34 - mmengine - INFO - Epoch(train) [60][2180/3757] lr: 1.0000e-03 eta: 1 day, 4:11:49 time: 0.5842 data_time: 0.2531 memory: 17350 grad_norm: 7.2337 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1670 loss: 1.1670 2022/07/23 21:26:48 - mmengine - INFO - Epoch(train) [60][2200/3757] lr: 1.0000e-03 eta: 1 day, 4:11:36 time: 0.7231 data_time: 0.3848 memory: 17350 grad_norm: 7.0665 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1680 loss: 1.1680 2022/07/23 21:27:00 - mmengine - INFO - Epoch(train) [60][2220/3757] lr: 1.0000e-03 eta: 1 day, 4:11:22 time: 0.5900 data_time: 0.2546 memory: 17350 grad_norm: 7.3278 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2326 loss: 1.2326 2022/07/23 21:27:15 - mmengine - INFO - Epoch(train) [60][2240/3757] lr: 1.0000e-03 eta: 1 day, 4:11:09 time: 0.7481 data_time: 0.4076 memory: 17350 grad_norm: 6.9394 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.1221 loss: 1.1221 2022/07/23 21:27:27 - mmengine - INFO - Epoch(train) [60][2260/3757] lr: 1.0000e-03 eta: 1 day, 4:10:55 time: 0.5879 data_time: 0.2510 memory: 17350 grad_norm: 7.0578 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9828 loss: 0.9828 2022/07/23 21:27:42 - mmengine - INFO - Epoch(train) [60][2280/3757] lr: 1.0000e-03 eta: 1 day, 4:10:43 time: 0.7488 data_time: 0.4133 memory: 17350 grad_norm: 7.0354 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4285 loss: 1.4285 2022/07/23 21:27:53 - mmengine - INFO - Epoch(train) [60][2300/3757] lr: 1.0000e-03 eta: 1 day, 4:10:28 time: 0.5465 data_time: 0.2121 memory: 17350 grad_norm: 7.3493 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2603 loss: 1.2603 2022/07/23 21:28:08 - mmengine - INFO - Epoch(train) [60][2320/3757] lr: 1.0000e-03 eta: 1 day, 4:10:15 time: 0.7382 data_time: 0.4032 memory: 17350 grad_norm: 7.0973 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2370 loss: 1.2370 2022/07/23 21:28:19 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 21:28:20 - mmengine - INFO - Epoch(train) [60][2340/3757] lr: 1.0000e-03 eta: 1 day, 4:10:02 time: 0.6397 data_time: 0.3056 memory: 17350 grad_norm: 7.1531 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2077 loss: 1.2077 2022/07/23 21:28:36 - mmengine - INFO - Epoch(train) [60][2360/3757] lr: 1.0000e-03 eta: 1 day, 4:09:49 time: 0.7516 data_time: 0.4174 memory: 17350 grad_norm: 7.3195 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1119 loss: 1.1119 2022/07/23 21:28:47 - mmengine - INFO - Epoch(train) [60][2380/3757] lr: 1.0000e-03 eta: 1 day, 4:09:35 time: 0.5930 data_time: 0.2584 memory: 17350 grad_norm: 7.3163 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1675 loss: 1.1675 2022/07/23 21:29:01 - mmengine - INFO - Epoch(train) [60][2400/3757] lr: 1.0000e-03 eta: 1 day, 4:09:22 time: 0.6700 data_time: 0.3351 memory: 17350 grad_norm: 7.0442 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1225 loss: 1.1225 2022/07/23 21:29:12 - mmengine - INFO - Epoch(train) [60][2420/3757] lr: 1.0000e-03 eta: 1 day, 4:09:07 time: 0.5533 data_time: 0.2146 memory: 17350 grad_norm: 7.1793 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5996 loss: 1.5996 2022/07/23 21:29:26 - mmengine - INFO - Epoch(train) [60][2440/3757] lr: 1.0000e-03 eta: 1 day, 4:08:54 time: 0.6915 data_time: 0.3575 memory: 17350 grad_norm: 7.3396 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2763 loss: 1.2763 2022/07/23 21:29:38 - mmengine - INFO - Epoch(train) [60][2460/3757] lr: 1.0000e-03 eta: 1 day, 4:08:40 time: 0.6314 data_time: 0.2881 memory: 17350 grad_norm: 6.9379 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1024 loss: 1.1024 2022/07/23 21:29:52 - mmengine - INFO - Epoch(train) [60][2480/3757] lr: 1.0000e-03 eta: 1 day, 4:08:27 time: 0.7014 data_time: 0.3617 memory: 17350 grad_norm: 6.9260 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.1598 loss: 1.1598 2022/07/23 21:30:05 - mmengine - INFO - Epoch(train) [60][2500/3757] lr: 1.0000e-03 eta: 1 day, 4:08:13 time: 0.6153 data_time: 0.2539 memory: 17350 grad_norm: 6.9279 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3242 loss: 1.3242 2022/07/23 21:30:19 - mmengine - INFO - Epoch(train) [60][2520/3757] lr: 1.0000e-03 eta: 1 day, 4:08:00 time: 0.7036 data_time: 0.3113 memory: 17350 grad_norm: 6.8512 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0558 loss: 1.0558 2022/07/23 21:30:32 - mmengine - INFO - Epoch(train) [60][2540/3757] lr: 1.0000e-03 eta: 1 day, 4:07:46 time: 0.6400 data_time: 0.2486 memory: 17350 grad_norm: 7.1906 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0823 loss: 1.0823 2022/07/23 21:30:46 - mmengine - INFO - Epoch(train) [60][2560/3757] lr: 1.0000e-03 eta: 1 day, 4:07:34 time: 0.7339 data_time: 0.3480 memory: 17350 grad_norm: 7.1345 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3695 loss: 1.3695 2022/07/23 21:30:58 - mmengine - INFO - Epoch(train) [60][2580/3757] lr: 1.0000e-03 eta: 1 day, 4:07:19 time: 0.6016 data_time: 0.2523 memory: 17350 grad_norm: 7.4526 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0978 loss: 1.0978 2022/07/23 21:31:14 - mmengine - INFO - Epoch(train) [60][2600/3757] lr: 1.0000e-03 eta: 1 day, 4:07:07 time: 0.7559 data_time: 0.4185 memory: 17350 grad_norm: 7.1930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4401 loss: 1.4401 2022/07/23 21:31:25 - mmengine - INFO - Epoch(train) [60][2620/3757] lr: 1.0000e-03 eta: 1 day, 4:06:53 time: 0.5845 data_time: 0.2477 memory: 17350 grad_norm: 6.8531 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1833 loss: 1.1833 2022/07/23 21:31:41 - mmengine - INFO - Epoch(train) [60][2640/3757] lr: 1.0000e-03 eta: 1 day, 4:06:41 time: 0.7663 data_time: 0.4152 memory: 17350 grad_norm: 7.4909 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4252 loss: 1.4252 2022/07/23 21:31:52 - mmengine - INFO - Epoch(train) [60][2660/3757] lr: 1.0000e-03 eta: 1 day, 4:06:26 time: 0.5900 data_time: 0.2565 memory: 17350 grad_norm: 7.1020 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3814 loss: 1.3814 2022/07/23 21:32:07 - mmengine - INFO - Epoch(train) [60][2680/3757] lr: 1.0000e-03 eta: 1 day, 4:06:14 time: 0.7331 data_time: 0.3403 memory: 17350 grad_norm: 7.3316 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3435 loss: 1.3435 2022/07/23 21:32:20 - mmengine - INFO - Epoch(train) [60][2700/3757] lr: 1.0000e-03 eta: 1 day, 4:06:00 time: 0.6422 data_time: 0.2859 memory: 17350 grad_norm: 7.1443 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2754 loss: 1.2754 2022/07/23 21:32:34 - mmengine - INFO - Epoch(train) [60][2720/3757] lr: 1.0000e-03 eta: 1 day, 4:05:47 time: 0.6881 data_time: 0.3541 memory: 17350 grad_norm: 7.2357 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3858 loss: 1.3858 2022/07/23 21:32:46 - mmengine - INFO - Epoch(train) [60][2740/3757] lr: 1.0000e-03 eta: 1 day, 4:05:32 time: 0.5964 data_time: 0.2486 memory: 17350 grad_norm: 7.2069 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5030 loss: 1.5030 2022/07/23 21:33:00 - mmengine - INFO - Epoch(train) [60][2760/3757] lr: 1.0000e-03 eta: 1 day, 4:05:20 time: 0.7130 data_time: 0.3524 memory: 17350 grad_norm: 7.0983 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1925 loss: 1.1925 2022/07/23 21:33:12 - mmengine - INFO - Epoch(train) [60][2780/3757] lr: 1.0000e-03 eta: 1 day, 4:05:06 time: 0.6272 data_time: 0.2818 memory: 17350 grad_norm: 7.2690 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0758 loss: 1.0758 2022/07/23 21:33:26 - mmengine - INFO - Epoch(train) [60][2800/3757] lr: 1.0000e-03 eta: 1 day, 4:04:53 time: 0.6914 data_time: 0.3162 memory: 17350 grad_norm: 7.1765 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2112 loss: 1.2112 2022/07/23 21:33:39 - mmengine - INFO - Epoch(train) [60][2820/3757] lr: 1.0000e-03 eta: 1 day, 4:04:39 time: 0.6496 data_time: 0.2811 memory: 17350 grad_norm: 7.3773 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2511 loss: 1.2511 2022/07/23 21:33:53 - mmengine - INFO - Epoch(train) [60][2840/3757] lr: 1.0000e-03 eta: 1 day, 4:04:26 time: 0.6973 data_time: 0.3376 memory: 17350 grad_norm: 7.0467 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1631 loss: 1.1631 2022/07/23 21:34:05 - mmengine - INFO - Epoch(train) [60][2860/3757] lr: 1.0000e-03 eta: 1 day, 4:04:12 time: 0.6107 data_time: 0.2724 memory: 17350 grad_norm: 7.0747 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1284 loss: 1.1284 2022/07/23 21:34:20 - mmengine - INFO - Epoch(train) [60][2880/3757] lr: 1.0000e-03 eta: 1 day, 4:03:59 time: 0.7310 data_time: 0.3976 memory: 17350 grad_norm: 6.9494 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1925 loss: 1.1925 2022/07/23 21:34:32 - mmengine - INFO - Epoch(train) [60][2900/3757] lr: 1.0000e-03 eta: 1 day, 4:03:45 time: 0.5719 data_time: 0.2256 memory: 17350 grad_norm: 6.7703 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2087 loss: 1.2087 2022/07/23 21:34:45 - mmengine - INFO - Epoch(train) [60][2920/3757] lr: 1.0000e-03 eta: 1 day, 4:03:31 time: 0.6477 data_time: 0.2558 memory: 17350 grad_norm: 7.0444 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1642 loss: 1.1642 2022/07/23 21:34:58 - mmengine - INFO - Epoch(train) [60][2940/3757] lr: 1.0000e-03 eta: 1 day, 4:03:18 time: 0.6672 data_time: 0.2844 memory: 17350 grad_norm: 7.0607 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1789 loss: 1.1789 2022/07/23 21:35:13 - mmengine - INFO - Epoch(train) [60][2960/3757] lr: 1.0000e-03 eta: 1 day, 4:03:05 time: 0.7473 data_time: 0.2274 memory: 17350 grad_norm: 7.3540 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2247 loss: 1.2247 2022/07/23 21:35:26 - mmengine - INFO - Epoch(train) [60][2980/3757] lr: 1.0000e-03 eta: 1 day, 4:02:52 time: 0.6436 data_time: 0.0799 memory: 17350 grad_norm: 7.3965 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4370 loss: 1.4370 2022/07/23 21:35:41 - mmengine - INFO - Epoch(train) [60][3000/3757] lr: 1.0000e-03 eta: 1 day, 4:02:39 time: 0.7442 data_time: 0.0228 memory: 17350 grad_norm: 6.9863 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1490 loss: 1.1490 2022/07/23 21:35:52 - mmengine - INFO - Epoch(train) [60][3020/3757] lr: 1.0000e-03 eta: 1 day, 4:02:25 time: 0.5752 data_time: 0.0219 memory: 17350 grad_norm: 7.2074 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4881 loss: 1.4881 2022/07/23 21:36:07 - mmengine - INFO - Epoch(train) [60][3040/3757] lr: 1.0000e-03 eta: 1 day, 4:02:12 time: 0.7302 data_time: 0.0245 memory: 17350 grad_norm: 7.1185 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0368 loss: 1.0368 2022/07/23 21:36:19 - mmengine - INFO - Epoch(train) [60][3060/3757] lr: 1.0000e-03 eta: 1 day, 4:01:58 time: 0.5949 data_time: 0.0235 memory: 17350 grad_norm: 6.9352 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0856 loss: 1.0856 2022/07/23 21:36:33 - mmengine - INFO - Epoch(train) [60][3080/3757] lr: 1.0000e-03 eta: 1 day, 4:01:45 time: 0.7128 data_time: 0.0212 memory: 17350 grad_norm: 7.2968 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2002 loss: 1.2002 2022/07/23 21:36:46 - mmengine - INFO - Epoch(train) [60][3100/3757] lr: 1.0000e-03 eta: 1 day, 4:01:31 time: 0.6275 data_time: 0.0227 memory: 17350 grad_norm: 6.9902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1255 loss: 1.1255 2022/07/23 21:36:59 - mmengine - INFO - Epoch(train) [60][3120/3757] lr: 1.0000e-03 eta: 1 day, 4:01:18 time: 0.6780 data_time: 0.0212 memory: 17350 grad_norm: 7.0904 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4239 loss: 1.4239 2022/07/23 21:37:11 - mmengine - INFO - Epoch(train) [60][3140/3757] lr: 1.0000e-03 eta: 1 day, 4:01:04 time: 0.5971 data_time: 0.0218 memory: 17350 grad_norm: 7.0064 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3485 loss: 1.3485 2022/07/23 21:37:26 - mmengine - INFO - Epoch(train) [60][3160/3757] lr: 1.0000e-03 eta: 1 day, 4:00:51 time: 0.7347 data_time: 0.0236 memory: 17350 grad_norm: 7.3114 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3128 loss: 1.3128 2022/07/23 21:37:39 - mmengine - INFO - Epoch(train) [60][3180/3757] lr: 1.0000e-03 eta: 1 day, 4:00:37 time: 0.6473 data_time: 0.0238 memory: 17350 grad_norm: 7.2974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2290 loss: 1.2290 2022/07/23 21:37:53 - mmengine - INFO - Epoch(train) [60][3200/3757] lr: 1.0000e-03 eta: 1 day, 4:00:25 time: 0.7187 data_time: 0.0220 memory: 17350 grad_norm: 7.1039 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0384 loss: 1.0384 2022/07/23 21:38:06 - mmengine - INFO - Epoch(train) [60][3220/3757] lr: 1.0000e-03 eta: 1 day, 4:00:11 time: 0.6244 data_time: 0.0228 memory: 17350 grad_norm: 7.0411 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2333 loss: 1.2333 2022/07/23 21:38:20 - mmengine - INFO - Epoch(train) [60][3240/3757] lr: 1.0000e-03 eta: 1 day, 3:59:58 time: 0.6950 data_time: 0.0259 memory: 17350 grad_norm: 7.1747 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1432 loss: 1.1432 2022/07/23 21:38:33 - mmengine - INFO - Epoch(train) [60][3260/3757] lr: 1.0000e-03 eta: 1 day, 3:59:44 time: 0.6510 data_time: 0.0219 memory: 17350 grad_norm: 7.1545 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1504 loss: 1.1504 2022/07/23 21:38:46 - mmengine - INFO - Epoch(train) [60][3280/3757] lr: 1.0000e-03 eta: 1 day, 3:59:31 time: 0.6859 data_time: 0.0218 memory: 17350 grad_norm: 7.3948 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1666 loss: 1.1666 2022/07/23 21:38:59 - mmengine - INFO - Epoch(train) [60][3300/3757] lr: 1.0000e-03 eta: 1 day, 3:59:17 time: 0.6421 data_time: 0.0381 memory: 17350 grad_norm: 7.2243 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.1216 loss: 1.1216 2022/07/23 21:39:12 - mmengine - INFO - Epoch(train) [60][3320/3757] lr: 1.0000e-03 eta: 1 day, 3:59:04 time: 0.6570 data_time: 0.0222 memory: 17350 grad_norm: 7.2772 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2083 loss: 1.2083 2022/07/23 21:39:22 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 21:39:25 - mmengine - INFO - Epoch(train) [60][3340/3757] lr: 1.0000e-03 eta: 1 day, 3:58:50 time: 0.6356 data_time: 0.0221 memory: 17350 grad_norm: 7.4103 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2742 loss: 1.2742 2022/07/23 21:39:37 - mmengine - INFO - Epoch(train) [60][3360/3757] lr: 1.0000e-03 eta: 1 day, 3:58:36 time: 0.6102 data_time: 0.0223 memory: 17350 grad_norm: 6.9709 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3760 loss: 1.3760 2022/07/23 21:39:51 - mmengine - INFO - Epoch(train) [60][3380/3757] lr: 1.0000e-03 eta: 1 day, 3:58:22 time: 0.6670 data_time: 0.0241 memory: 17350 grad_norm: 7.0305 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2181 loss: 1.2181 2022/07/23 21:40:05 - mmengine - INFO - Epoch(train) [60][3400/3757] lr: 1.0000e-03 eta: 1 day, 3:58:10 time: 0.7391 data_time: 0.0209 memory: 17350 grad_norm: 6.9649 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1794 loss: 1.1794 2022/07/23 21:40:18 - mmengine - INFO - Epoch(train) [60][3420/3757] lr: 1.0000e-03 eta: 1 day, 3:57:56 time: 0.6319 data_time: 0.0218 memory: 17350 grad_norm: 7.2600 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0529 loss: 1.0529 2022/07/23 21:40:32 - mmengine - INFO - Epoch(train) [60][3440/3757] lr: 1.0000e-03 eta: 1 day, 3:57:43 time: 0.6942 data_time: 0.0233 memory: 17350 grad_norm: 7.0938 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2505 loss: 1.2505 2022/07/23 21:40:45 - mmengine - INFO - Epoch(train) [60][3460/3757] lr: 1.0000e-03 eta: 1 day, 3:57:30 time: 0.6572 data_time: 0.0226 memory: 17350 grad_norm: 6.9938 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3503 loss: 1.3503 2022/07/23 21:40:57 - mmengine - INFO - Epoch(train) [60][3480/3757] lr: 1.0000e-03 eta: 1 day, 3:57:16 time: 0.6177 data_time: 0.0227 memory: 17350 grad_norm: 7.0721 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1577 loss: 1.1577 2022/07/23 21:41:12 - mmengine - INFO - Epoch(train) [60][3500/3757] lr: 1.0000e-03 eta: 1 day, 3:57:03 time: 0.7154 data_time: 0.0230 memory: 17350 grad_norm: 7.1634 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9689 loss: 0.9689 2022/07/23 21:41:25 - mmengine - INFO - Epoch(train) [60][3520/3757] lr: 1.0000e-03 eta: 1 day, 3:56:49 time: 0.6488 data_time: 0.0223 memory: 17350 grad_norm: 7.1723 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9103 loss: 0.9103 2022/07/23 21:41:38 - mmengine - INFO - Epoch(train) [60][3540/3757] lr: 1.0000e-03 eta: 1 day, 3:56:36 time: 0.6634 data_time: 0.0239 memory: 17350 grad_norm: 7.5403 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4134 loss: 1.4134 2022/07/23 21:41:52 - mmengine - INFO - Epoch(train) [60][3560/3757] lr: 1.0000e-03 eta: 1 day, 3:56:23 time: 0.7122 data_time: 0.0236 memory: 17350 grad_norm: 6.9903 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1021 loss: 1.1021 2022/07/23 21:42:04 - mmengine - INFO - Epoch(train) [60][3580/3757] lr: 1.0000e-03 eta: 1 day, 3:56:09 time: 0.6037 data_time: 0.0257 memory: 17350 grad_norm: 7.3464 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1633 loss: 1.1633 2022/07/23 21:42:18 - mmengine - INFO - Epoch(train) [60][3600/3757] lr: 1.0000e-03 eta: 1 day, 3:55:56 time: 0.6824 data_time: 0.0322 memory: 17350 grad_norm: 7.2068 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 0.9613 loss: 0.9613 2022/07/23 21:42:31 - mmengine - INFO - Epoch(train) [60][3620/3757] lr: 1.0000e-03 eta: 1 day, 3:55:42 time: 0.6269 data_time: 0.0267 memory: 17350 grad_norm: 7.2177 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2158 loss: 1.2158 2022/07/23 21:42:44 - mmengine - INFO - Epoch(train) [60][3640/3757] lr: 1.0000e-03 eta: 1 day, 3:55:29 time: 0.6938 data_time: 0.0224 memory: 17350 grad_norm: 7.2762 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0494 loss: 1.0494 2022/07/23 21:42:58 - mmengine - INFO - Epoch(train) [60][3660/3757] lr: 1.0000e-03 eta: 1 day, 3:55:15 time: 0.6701 data_time: 0.0873 memory: 17350 grad_norm: 6.9862 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2157 loss: 1.2157 2022/07/23 21:43:11 - mmengine - INFO - Epoch(train) [60][3680/3757] lr: 1.0000e-03 eta: 1 day, 3:55:02 time: 0.6778 data_time: 0.0859 memory: 17350 grad_norm: 7.1241 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2929 loss: 1.2929 2022/07/23 21:43:25 - mmengine - INFO - Epoch(train) [60][3700/3757] lr: 1.0000e-03 eta: 1 day, 3:54:48 time: 0.6537 data_time: 0.1578 memory: 17350 grad_norm: 7.3021 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2471 loss: 1.2471 2022/07/23 21:43:38 - mmengine - INFO - Epoch(train) [60][3720/3757] lr: 1.0000e-03 eta: 1 day, 3:54:35 time: 0.6500 data_time: 0.1429 memory: 17350 grad_norm: 7.1789 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0737 loss: 1.0737 2022/07/23 21:43:51 - mmengine - INFO - Epoch(train) [60][3740/3757] lr: 1.0000e-03 eta: 1 day, 3:54:21 time: 0.6644 data_time: 0.2240 memory: 17350 grad_norm: 6.9453 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2127 loss: 1.2127 2022/07/23 21:43:59 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 21:43:59 - mmengine - INFO - Epoch(train) [60][3757/3757] lr: 1.0000e-03 eta: 1 day, 3:54:21 time: 0.5161 data_time: 0.1534 memory: 17350 grad_norm: 7.4087 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.4545 loss: 1.4545 2022/07/23 21:43:59 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/07/23 21:44:17 - mmengine - INFO - Epoch(val) [60][20/310] eta: 0:03:52 time: 0.8024 data_time: 0.6887 memory: 3406 2022/07/23 21:44:28 - mmengine - INFO - Epoch(val) [60][40/310] eta: 0:02:27 time: 0.5461 data_time: 0.4340 memory: 3406 2022/07/23 21:44:44 - mmengine - INFO - Epoch(val) [60][60/310] eta: 0:03:18 time: 0.7951 data_time: 0.6821 memory: 3406 2022/07/23 21:44:55 - mmengine - INFO - Epoch(val) [60][80/310] eta: 0:02:05 time: 0.5442 data_time: 0.4324 memory: 3406 2022/07/23 21:45:11 - mmengine - INFO - Epoch(val) [60][100/310] eta: 0:02:50 time: 0.8119 data_time: 0.6952 memory: 3406 2022/07/23 21:45:22 - mmengine - INFO - Epoch(val) [60][120/310] eta: 0:01:41 time: 0.5327 data_time: 0.4181 memory: 3406 2022/07/23 21:45:38 - mmengine - INFO - Epoch(val) [60][140/310] eta: 0:02:11 time: 0.7734 data_time: 0.6587 memory: 3406 2022/07/23 21:45:49 - mmengine - INFO - Epoch(val) [60][160/310] eta: 0:01:27 time: 0.5835 data_time: 0.4715 memory: 3406 2022/07/23 21:46:05 - mmengine - INFO - Epoch(val) [60][180/310] eta: 0:01:41 time: 0.7783 data_time: 0.6655 memory: 3406 2022/07/23 21:46:16 - mmengine - INFO - Epoch(val) [60][200/310] eta: 0:00:59 time: 0.5425 data_time: 0.4295 memory: 3406 2022/07/23 21:46:32 - mmengine - INFO - Epoch(val) [60][220/310] eta: 0:01:14 time: 0.8246 data_time: 0.7044 memory: 3406 2022/07/23 21:46:43 - mmengine - INFO - Epoch(val) [60][240/310] eta: 0:00:38 time: 0.5436 data_time: 0.4303 memory: 3406 2022/07/23 21:46:58 - mmengine - INFO - Epoch(val) [60][260/310] eta: 0:00:36 time: 0.7390 data_time: 0.6218 memory: 3406 2022/07/23 21:47:09 - mmengine - INFO - Epoch(val) [60][280/310] eta: 0:00:16 time: 0.5378 data_time: 0.4220 memory: 3406 2022/07/23 21:47:22 - mmengine - INFO - Epoch(val) [60][300/310] eta: 0:00:06 time: 0.6855 data_time: 0.5716 memory: 3406 2022/07/23 21:47:26 - mmengine - INFO - Epoch(val) [60][310/310] acc/top1: 0.6774 acc/top5: 0.8729 acc/mean1: 0.6773 2022/07/23 21:47:26 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_58.pth is removed 2022/07/23 21:47:28 - mmengine - INFO - The best checkpoint with 0.6774 acc/top1 at 61 epoch is saved to best_acc/top1_epoch_61.pth. 2022/07/23 21:47:45 - mmengine - INFO - Epoch(train) [61][20/3757] lr: 1.0000e-03 eta: 1 day, 3:53:52 time: 0.8635 data_time: 0.5303 memory: 17350 grad_norm: 7.0813 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3321 loss: 1.3321 2022/07/23 21:47:57 - mmengine - INFO - Epoch(train) [61][40/3757] lr: 1.0000e-03 eta: 1 day, 3:53:38 time: 0.6164 data_time: 0.2826 memory: 17350 grad_norm: 7.1223 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0525 loss: 1.0525 2022/07/23 21:48:12 - mmengine - INFO - Epoch(train) [61][60/3757] lr: 1.0000e-03 eta: 1 day, 3:53:25 time: 0.7225 data_time: 0.3797 memory: 17350 grad_norm: 7.2111 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0529 loss: 1.0529 2022/07/23 21:48:23 - mmengine - INFO - Epoch(train) [61][80/3757] lr: 1.0000e-03 eta: 1 day, 3:53:11 time: 0.5915 data_time: 0.2598 memory: 17350 grad_norm: 6.8663 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0577 loss: 1.0577 2022/07/23 21:48:38 - mmengine - INFO - Epoch(train) [61][100/3757] lr: 1.0000e-03 eta: 1 day, 3:52:58 time: 0.7172 data_time: 0.3731 memory: 17350 grad_norm: 7.0615 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1346 loss: 1.1346 2022/07/23 21:48:51 - mmengine - INFO - Epoch(train) [61][120/3757] lr: 1.0000e-03 eta: 1 day, 3:52:44 time: 0.6431 data_time: 0.3102 memory: 17350 grad_norm: 7.5269 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2679 loss: 1.2679 2022/07/23 21:49:05 - mmengine - INFO - Epoch(train) [61][140/3757] lr: 1.0000e-03 eta: 1 day, 3:52:32 time: 0.7339 data_time: 0.4000 memory: 17350 grad_norm: 6.9477 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0947 loss: 1.0947 2022/07/23 21:49:17 - mmengine - INFO - Epoch(train) [61][160/3757] lr: 1.0000e-03 eta: 1 day, 3:52:17 time: 0.5904 data_time: 0.2513 memory: 17350 grad_norm: 7.3478 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1175 loss: 1.1175 2022/07/23 21:49:32 - mmengine - INFO - Epoch(train) [61][180/3757] lr: 1.0000e-03 eta: 1 day, 3:52:05 time: 0.7441 data_time: 0.4024 memory: 17350 grad_norm: 6.9874 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1256 loss: 1.1256 2022/07/23 21:49:44 - mmengine - INFO - Epoch(train) [61][200/3757] lr: 1.0000e-03 eta: 1 day, 3:51:51 time: 0.5963 data_time: 0.2618 memory: 17350 grad_norm: 7.1317 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2696 loss: 1.2696 2022/07/23 21:49:59 - mmengine - INFO - Epoch(train) [61][220/3757] lr: 1.0000e-03 eta: 1 day, 3:51:38 time: 0.7563 data_time: 0.4159 memory: 17350 grad_norm: 7.0555 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1418 loss: 1.1418 2022/07/23 21:50:12 - mmengine - INFO - Epoch(train) [61][240/3757] lr: 1.0000e-03 eta: 1 day, 3:51:25 time: 0.6380 data_time: 0.3030 memory: 17350 grad_norm: 7.2315 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0155 loss: 1.0155 2022/07/23 21:50:26 - mmengine - INFO - Epoch(train) [61][260/3757] lr: 1.0000e-03 eta: 1 day, 3:51:12 time: 0.7203 data_time: 0.3836 memory: 17350 grad_norm: 7.1736 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0841 loss: 1.0841 2022/07/23 21:50:38 - mmengine - INFO - Epoch(train) [61][280/3757] lr: 1.0000e-03 eta: 1 day, 3:50:58 time: 0.5940 data_time: 0.2594 memory: 17350 grad_norm: 7.1335 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2185 loss: 1.2185 2022/07/23 21:50:52 - mmengine - INFO - Epoch(train) [61][300/3757] lr: 1.0000e-03 eta: 1 day, 3:50:44 time: 0.6709 data_time: 0.3338 memory: 17350 grad_norm: 7.1204 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1069 loss: 1.1069 2022/07/23 21:51:04 - mmengine - INFO - Epoch(train) [61][320/3757] lr: 1.0000e-03 eta: 1 day, 3:50:30 time: 0.5952 data_time: 0.2587 memory: 17350 grad_norm: 7.0877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1305 loss: 1.1305 2022/07/23 21:51:19 - mmengine - INFO - Epoch(train) [61][340/3757] lr: 1.0000e-03 eta: 1 day, 3:50:18 time: 0.7902 data_time: 0.4440 memory: 17350 grad_norm: 7.0917 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2839 loss: 1.2839 2022/07/23 21:51:30 - mmengine - INFO - Epoch(train) [61][360/3757] lr: 1.0000e-03 eta: 1 day, 3:50:03 time: 0.5426 data_time: 0.2094 memory: 17350 grad_norm: 7.0852 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3928 loss: 1.3928 2022/07/23 21:51:45 - mmengine - INFO - Epoch(train) [61][380/3757] lr: 1.0000e-03 eta: 1 day, 3:49:50 time: 0.7128 data_time: 0.3724 memory: 17350 grad_norm: 7.7599 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3219 loss: 1.3219 2022/07/23 21:51:57 - mmengine - INFO - Epoch(train) [61][400/3757] lr: 1.0000e-03 eta: 1 day, 3:49:37 time: 0.6321 data_time: 0.2961 memory: 17350 grad_norm: 7.0343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3282 loss: 1.3282 2022/07/23 21:52:12 - mmengine - INFO - Epoch(train) [61][420/3757] lr: 1.0000e-03 eta: 1 day, 3:49:24 time: 0.7505 data_time: 0.4162 memory: 17350 grad_norm: 7.1250 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3335 loss: 1.3335 2022/07/23 21:52:24 - mmengine - INFO - Epoch(train) [61][440/3757] lr: 1.0000e-03 eta: 1 day, 3:49:10 time: 0.5880 data_time: 0.2544 memory: 17350 grad_norm: 7.1149 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1986 loss: 1.1986 2022/07/23 21:52:38 - mmengine - INFO - Epoch(train) [61][460/3757] lr: 1.0000e-03 eta: 1 day, 3:48:57 time: 0.7139 data_time: 0.3368 memory: 17350 grad_norm: 7.3067 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2976 loss: 1.2976 2022/07/23 21:52:50 - mmengine - INFO - Epoch(train) [61][480/3757] lr: 1.0000e-03 eta: 1 day, 3:48:43 time: 0.5957 data_time: 0.2602 memory: 17350 grad_norm: 7.4904 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1551 loss: 1.1551 2022/07/23 21:53:04 - mmengine - INFO - Epoch(train) [61][500/3757] lr: 1.0000e-03 eta: 1 day, 3:48:30 time: 0.7048 data_time: 0.3267 memory: 17350 grad_norm: 7.0715 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0871 loss: 1.0871 2022/07/23 21:53:16 - mmengine - INFO - Epoch(train) [61][520/3757] lr: 1.0000e-03 eta: 1 day, 3:48:16 time: 0.6009 data_time: 0.2513 memory: 17350 grad_norm: 7.0165 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2891 loss: 1.2891 2022/07/23 21:53:31 - mmengine - INFO - Epoch(train) [61][540/3757] lr: 1.0000e-03 eta: 1 day, 3:48:03 time: 0.7266 data_time: 0.3626 memory: 17350 grad_norm: 7.1136 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0306 loss: 1.0306 2022/07/23 21:53:44 - mmengine - INFO - Epoch(train) [61][560/3757] lr: 1.0000e-03 eta: 1 day, 3:47:49 time: 0.6436 data_time: 0.1990 memory: 17350 grad_norm: 7.0434 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2656 loss: 1.2656 2022/07/23 21:53:58 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 21:53:58 - mmengine - INFO - Epoch(train) [61][580/3757] lr: 1.0000e-03 eta: 1 day, 3:47:36 time: 0.7128 data_time: 0.3760 memory: 17350 grad_norm: 7.2210 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3696 loss: 1.3696 2022/07/23 21:54:10 - mmengine - INFO - Epoch(train) [61][600/3757] lr: 1.0000e-03 eta: 1 day, 3:47:22 time: 0.6044 data_time: 0.2666 memory: 17350 grad_norm: 7.0197 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1808 loss: 1.1808 2022/07/23 21:54:24 - mmengine - INFO - Epoch(train) [61][620/3757] lr: 1.0000e-03 eta: 1 day, 3:47:09 time: 0.7086 data_time: 0.2961 memory: 17350 grad_norm: 7.0493 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1607 loss: 1.1607 2022/07/23 21:54:37 - mmengine - INFO - Epoch(train) [61][640/3757] lr: 1.0000e-03 eta: 1 day, 3:46:56 time: 0.6379 data_time: 0.1380 memory: 17350 grad_norm: 6.8474 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2644 loss: 1.2644 2022/07/23 21:54:51 - mmengine - INFO - Epoch(train) [61][660/3757] lr: 1.0000e-03 eta: 1 day, 3:46:42 time: 0.6704 data_time: 0.2171 memory: 17350 grad_norm: 7.0553 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0648 loss: 1.0648 2022/07/23 21:55:04 - mmengine - INFO - Epoch(train) [61][680/3757] lr: 1.0000e-03 eta: 1 day, 3:46:29 time: 0.6693 data_time: 0.1820 memory: 17350 grad_norm: 7.3345 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1173 loss: 1.1173 2022/07/23 21:55:18 - mmengine - INFO - Epoch(train) [61][700/3757] lr: 1.0000e-03 eta: 1 day, 3:46:16 time: 0.7149 data_time: 0.3354 memory: 17350 grad_norm: 7.3791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2899 loss: 1.2899 2022/07/23 21:55:31 - mmengine - INFO - Epoch(train) [61][720/3757] lr: 1.0000e-03 eta: 1 day, 3:46:02 time: 0.6308 data_time: 0.2599 memory: 17350 grad_norm: 7.5079 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3565 loss: 1.3565 2022/07/23 21:55:45 - mmengine - INFO - Epoch(train) [61][740/3757] lr: 1.0000e-03 eta: 1 day, 3:45:49 time: 0.7020 data_time: 0.3365 memory: 17350 grad_norm: 6.9710 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0152 loss: 1.0152 2022/07/23 21:55:58 - mmengine - INFO - Epoch(train) [61][760/3757] lr: 1.0000e-03 eta: 1 day, 3:45:36 time: 0.6364 data_time: 0.2138 memory: 17350 grad_norm: 7.0837 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9496 loss: 0.9496 2022/07/23 21:56:12 - mmengine - INFO - Epoch(train) [61][780/3757] lr: 1.0000e-03 eta: 1 day, 3:45:23 time: 0.7131 data_time: 0.3700 memory: 17350 grad_norm: 7.2241 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2358 loss: 1.2358 2022/07/23 21:56:25 - mmengine - INFO - Epoch(train) [61][800/3757] lr: 1.0000e-03 eta: 1 day, 3:45:09 time: 0.6460 data_time: 0.3126 memory: 17350 grad_norm: 6.9525 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2723 loss: 1.2723 2022/07/23 21:56:38 - mmengine - INFO - Epoch(train) [61][820/3757] lr: 1.0000e-03 eta: 1 day, 3:44:56 time: 0.6755 data_time: 0.3381 memory: 17350 grad_norm: 7.3874 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3975 loss: 1.3975 2022/07/23 21:56:51 - mmengine - INFO - Epoch(train) [61][840/3757] lr: 1.0000e-03 eta: 1 day, 3:44:42 time: 0.6115 data_time: 0.2726 memory: 17350 grad_norm: 7.2897 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0869 loss: 1.0869 2022/07/23 21:57:05 - mmengine - INFO - Epoch(train) [61][860/3757] lr: 1.0000e-03 eta: 1 day, 3:44:29 time: 0.7232 data_time: 0.3896 memory: 17350 grad_norm: 7.1199 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3456 loss: 1.3456 2022/07/23 21:57:17 - mmengine - INFO - Epoch(train) [61][880/3757] lr: 1.0000e-03 eta: 1 day, 3:44:15 time: 0.6030 data_time: 0.2631 memory: 17350 grad_norm: 7.2634 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3295 loss: 1.3295 2022/07/23 21:57:31 - mmengine - INFO - Epoch(train) [61][900/3757] lr: 1.0000e-03 eta: 1 day, 3:44:02 time: 0.6871 data_time: 0.3519 memory: 17350 grad_norm: 7.1958 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2241 loss: 1.2241 2022/07/23 21:57:43 - mmengine - INFO - Epoch(train) [61][920/3757] lr: 1.0000e-03 eta: 1 day, 3:43:48 time: 0.6157 data_time: 0.2836 memory: 17350 grad_norm: 7.5229 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3442 loss: 1.3442 2022/07/23 21:57:58 - mmengine - INFO - Epoch(train) [61][940/3757] lr: 1.0000e-03 eta: 1 day, 3:43:35 time: 0.7374 data_time: 0.3943 memory: 17350 grad_norm: 7.2745 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2453 loss: 1.2453 2022/07/23 21:58:10 - mmengine - INFO - Epoch(train) [61][960/3757] lr: 1.0000e-03 eta: 1 day, 3:43:21 time: 0.5982 data_time: 0.2596 memory: 17350 grad_norm: 7.0443 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2722 loss: 1.2722 2022/07/23 21:58:25 - mmengine - INFO - Epoch(train) [61][980/3757] lr: 1.0000e-03 eta: 1 day, 3:43:08 time: 0.7265 data_time: 0.3889 memory: 17350 grad_norm: 7.2006 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0413 loss: 1.0413 2022/07/23 21:58:36 - mmengine - INFO - Epoch(train) [61][1000/3757] lr: 1.0000e-03 eta: 1 day, 3:42:54 time: 0.5787 data_time: 0.2452 memory: 17350 grad_norm: 6.8073 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0566 loss: 1.0566 2022/07/23 21:58:51 - mmengine - INFO - Epoch(train) [61][1020/3757] lr: 1.0000e-03 eta: 1 day, 3:42:42 time: 0.7560 data_time: 0.4220 memory: 17350 grad_norm: 7.1632 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1160 loss: 1.1160 2022/07/23 21:59:03 - mmengine - INFO - Epoch(train) [61][1040/3757] lr: 1.0000e-03 eta: 1 day, 3:42:27 time: 0.6037 data_time: 0.2708 memory: 17350 grad_norm: 7.1273 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3137 loss: 1.3137 2022/07/23 21:59:18 - mmengine - INFO - Epoch(train) [61][1060/3757] lr: 1.0000e-03 eta: 1 day, 3:42:15 time: 0.7434 data_time: 0.4045 memory: 17350 grad_norm: 7.2645 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2274 loss: 1.2274 2022/07/23 21:59:29 - mmengine - INFO - Epoch(train) [61][1080/3757] lr: 1.0000e-03 eta: 1 day, 3:42:00 time: 0.5506 data_time: 0.2146 memory: 17350 grad_norm: 7.3830 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0860 loss: 1.0860 2022/07/23 21:59:44 - mmengine - INFO - Epoch(train) [61][1100/3757] lr: 1.0000e-03 eta: 1 day, 3:41:47 time: 0.7153 data_time: 0.3816 memory: 17350 grad_norm: 7.2567 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1667 loss: 1.1667 2022/07/23 21:59:55 - mmengine - INFO - Epoch(train) [61][1120/3757] lr: 1.0000e-03 eta: 1 day, 3:41:33 time: 0.5869 data_time: 0.2399 memory: 17350 grad_norm: 7.3062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1026 loss: 1.1026 2022/07/23 22:00:10 - mmengine - INFO - Epoch(train) [61][1140/3757] lr: 1.0000e-03 eta: 1 day, 3:41:21 time: 0.7412 data_time: 0.3677 memory: 17350 grad_norm: 7.3652 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3896 loss: 1.3896 2022/07/23 22:00:23 - mmengine - INFO - Epoch(train) [61][1160/3757] lr: 1.0000e-03 eta: 1 day, 3:41:07 time: 0.6466 data_time: 0.1743 memory: 17350 grad_norm: 7.3572 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1767 loss: 1.1767 2022/07/23 22:00:37 - mmengine - INFO - Epoch(train) [61][1180/3757] lr: 1.0000e-03 eta: 1 day, 3:40:54 time: 0.6947 data_time: 0.0342 memory: 17350 grad_norm: 7.4223 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1652 loss: 1.1652 2022/07/23 22:00:50 - mmengine - INFO - Epoch(train) [61][1200/3757] lr: 1.0000e-03 eta: 1 day, 3:40:40 time: 0.6525 data_time: 0.0241 memory: 17350 grad_norm: 7.2372 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9507 loss: 0.9507 2022/07/23 22:01:03 - mmengine - INFO - Epoch(train) [61][1220/3757] lr: 1.0000e-03 eta: 1 day, 3:40:27 time: 0.6575 data_time: 0.0221 memory: 17350 grad_norm: 7.1683 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2719 loss: 1.2719 2022/07/23 22:01:18 - mmengine - INFO - Epoch(train) [61][1240/3757] lr: 1.0000e-03 eta: 1 day, 3:40:14 time: 0.7191 data_time: 0.0219 memory: 17350 grad_norm: 7.3285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2625 loss: 1.2625 2022/07/23 22:01:30 - mmengine - INFO - Epoch(train) [61][1260/3757] lr: 1.0000e-03 eta: 1 day, 3:40:00 time: 0.6085 data_time: 0.0240 memory: 17350 grad_norm: 7.0724 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1969 loss: 1.1969 2022/07/23 22:01:45 - mmengine - INFO - Epoch(train) [61][1280/3757] lr: 1.0000e-03 eta: 1 day, 3:39:47 time: 0.7320 data_time: 0.0208 memory: 17350 grad_norm: 7.0562 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1601 loss: 1.1601 2022/07/23 22:01:57 - mmengine - INFO - Epoch(train) [61][1300/3757] lr: 1.0000e-03 eta: 1 day, 3:39:33 time: 0.5975 data_time: 0.0246 memory: 17350 grad_norm: 7.1879 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1145 loss: 1.1145 2022/07/23 22:02:11 - mmengine - INFO - Epoch(train) [61][1320/3757] lr: 1.0000e-03 eta: 1 day, 3:39:20 time: 0.7014 data_time: 0.0218 memory: 17350 grad_norm: 6.9705 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2263 loss: 1.2263 2022/07/23 22:02:24 - mmengine - INFO - Epoch(train) [61][1340/3757] lr: 1.0000e-03 eta: 1 day, 3:39:07 time: 0.6640 data_time: 0.0230 memory: 17350 grad_norm: 7.3291 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1173 loss: 1.1173 2022/07/23 22:02:38 - mmengine - INFO - Epoch(train) [61][1360/3757] lr: 1.0000e-03 eta: 1 day, 3:38:54 time: 0.7105 data_time: 0.0249 memory: 17350 grad_norm: 7.2193 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9829 loss: 0.9829 2022/07/23 22:02:51 - mmengine - INFO - Epoch(train) [61][1380/3757] lr: 1.0000e-03 eta: 1 day, 3:38:40 time: 0.6367 data_time: 0.0247 memory: 17350 grad_norm: 7.1383 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0819 loss: 1.0819 2022/07/23 22:03:04 - mmengine - INFO - Epoch(train) [61][1400/3757] lr: 1.0000e-03 eta: 1 day, 3:38:26 time: 0.6461 data_time: 0.0207 memory: 17350 grad_norm: 7.1949 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9596 loss: 0.9596 2022/07/23 22:03:17 - mmengine - INFO - Epoch(train) [61][1420/3757] lr: 1.0000e-03 eta: 1 day, 3:38:13 time: 0.6642 data_time: 0.0238 memory: 17350 grad_norm: 7.1455 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2022 loss: 1.2022 2022/07/23 22:03:30 - mmengine - INFO - Epoch(train) [61][1440/3757] lr: 1.0000e-03 eta: 1 day, 3:38:00 time: 0.6598 data_time: 0.0336 memory: 17350 grad_norm: 7.2169 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0541 loss: 1.0541 2022/07/23 22:03:45 - mmengine - INFO - Epoch(train) [61][1460/3757] lr: 1.0000e-03 eta: 1 day, 3:37:47 time: 0.7294 data_time: 0.0254 memory: 17350 grad_norm: 7.5115 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0832 loss: 1.0832 2022/07/23 22:03:57 - mmengine - INFO - Epoch(train) [61][1480/3757] lr: 1.0000e-03 eta: 1 day, 3:37:33 time: 0.5985 data_time: 0.0231 memory: 17350 grad_norm: 7.2693 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0940 loss: 1.0940 2022/07/23 22:04:11 - mmengine - INFO - Epoch(train) [61][1500/3757] lr: 1.0000e-03 eta: 1 day, 3:37:20 time: 0.7031 data_time: 0.0220 memory: 17350 grad_norm: 7.4347 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1960 loss: 1.1960 2022/07/23 22:04:23 - mmengine - INFO - Epoch(train) [61][1520/3757] lr: 1.0000e-03 eta: 1 day, 3:37:05 time: 0.5978 data_time: 0.0235 memory: 17350 grad_norm: 7.4019 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3237 loss: 1.3237 2022/07/23 22:04:37 - mmengine - INFO - Epoch(train) [61][1540/3757] lr: 1.0000e-03 eta: 1 day, 3:36:52 time: 0.6951 data_time: 0.0240 memory: 17350 grad_norm: 7.3431 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1720 loss: 1.1720 2022/07/23 22:04:50 - mmengine - INFO - Epoch(train) [61][1560/3757] lr: 1.0000e-03 eta: 1 day, 3:36:39 time: 0.6546 data_time: 0.0231 memory: 17350 grad_norm: 7.0396 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2862 loss: 1.2862 2022/07/23 22:05:05 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 22:05:05 - mmengine - INFO - Epoch(train) [61][1580/3757] lr: 1.0000e-03 eta: 1 day, 3:36:27 time: 0.7560 data_time: 0.0233 memory: 17350 grad_norm: 7.2112 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2945 loss: 1.2945 2022/07/23 22:05:17 - mmengine - INFO - Epoch(train) [61][1600/3757] lr: 1.0000e-03 eta: 1 day, 3:36:13 time: 0.6149 data_time: 0.0254 memory: 17350 grad_norm: 7.3120 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3510 loss: 1.3510 2022/07/23 22:05:30 - mmengine - INFO - Epoch(train) [61][1620/3757] lr: 1.0000e-03 eta: 1 day, 3:35:59 time: 0.6499 data_time: 0.0223 memory: 17350 grad_norm: 7.2374 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2670 loss: 1.2670 2022/07/23 22:05:44 - mmengine - INFO - Epoch(train) [61][1640/3757] lr: 1.0000e-03 eta: 1 day, 3:35:46 time: 0.7013 data_time: 0.0236 memory: 17350 grad_norm: 7.2485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2318 loss: 1.2318 2022/07/23 22:05:57 - mmengine - INFO - Epoch(train) [61][1660/3757] lr: 1.0000e-03 eta: 1 day, 3:35:32 time: 0.6249 data_time: 0.0222 memory: 17350 grad_norm: 7.5215 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3124 loss: 1.3124 2022/07/23 22:06:11 - mmengine - INFO - Epoch(train) [61][1680/3757] lr: 1.0000e-03 eta: 1 day, 3:35:19 time: 0.6995 data_time: 0.0243 memory: 17350 grad_norm: 7.2022 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1288 loss: 1.1288 2022/07/23 22:06:23 - mmengine - INFO - Epoch(train) [61][1700/3757] lr: 1.0000e-03 eta: 1 day, 3:35:05 time: 0.6177 data_time: 0.0219 memory: 17350 grad_norm: 7.3196 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0450 loss: 1.0450 2022/07/23 22:06:38 - mmengine - INFO - Epoch(train) [61][1720/3757] lr: 1.0000e-03 eta: 1 day, 3:34:52 time: 0.7103 data_time: 0.0234 memory: 17350 grad_norm: 7.2080 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2112 loss: 1.2112 2022/07/23 22:06:50 - mmengine - INFO - Epoch(train) [61][1740/3757] lr: 1.0000e-03 eta: 1 day, 3:34:38 time: 0.6082 data_time: 0.0276 memory: 17350 grad_norm: 7.2102 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3468 loss: 1.3468 2022/07/23 22:07:04 - mmengine - INFO - Epoch(train) [61][1760/3757] lr: 1.0000e-03 eta: 1 day, 3:34:26 time: 0.7361 data_time: 0.0231 memory: 17350 grad_norm: 7.1986 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1435 loss: 1.1435 2022/07/23 22:07:16 - mmengine - INFO - Epoch(train) [61][1780/3757] lr: 1.0000e-03 eta: 1 day, 3:34:11 time: 0.5711 data_time: 0.0214 memory: 17350 grad_norm: 7.4483 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3004 loss: 1.3004 2022/07/23 22:07:32 - mmengine - INFO - Epoch(train) [61][1800/3757] lr: 1.0000e-03 eta: 1 day, 3:33:59 time: 0.7828 data_time: 0.0210 memory: 17350 grad_norm: 7.4129 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3140 loss: 1.3140 2022/07/23 22:07:44 - mmengine - INFO - Epoch(train) [61][1820/3757] lr: 1.0000e-03 eta: 1 day, 3:33:45 time: 0.6071 data_time: 0.0221 memory: 17350 grad_norm: 7.3713 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4034 loss: 1.4034 2022/07/23 22:07:58 - mmengine - INFO - Epoch(train) [61][1840/3757] lr: 1.0000e-03 eta: 1 day, 3:33:32 time: 0.7054 data_time: 0.0214 memory: 17350 grad_norm: 7.2629 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8923 loss: 0.8923 2022/07/23 22:08:11 - mmengine - INFO - Epoch(train) [61][1860/3757] lr: 1.0000e-03 eta: 1 day, 3:33:18 time: 0.6395 data_time: 0.0233 memory: 17350 grad_norm: 7.2708 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4018 loss: 1.4018 2022/07/23 22:08:23 - mmengine - INFO - Epoch(train) [61][1880/3757] lr: 1.0000e-03 eta: 1 day, 3:33:05 time: 0.6434 data_time: 0.0246 memory: 17350 grad_norm: 7.2606 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3965 loss: 1.3965 2022/07/23 22:08:37 - mmengine - INFO - Epoch(train) [61][1900/3757] lr: 1.0000e-03 eta: 1 day, 3:32:51 time: 0.6548 data_time: 0.0227 memory: 17350 grad_norm: 7.2771 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1449 loss: 1.1449 2022/07/23 22:08:50 - mmengine - INFO - Epoch(train) [61][1920/3757] lr: 1.0000e-03 eta: 1 day, 3:32:38 time: 0.6517 data_time: 0.0228 memory: 17350 grad_norm: 7.4185 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1777 loss: 1.1777 2022/07/23 22:09:03 - mmengine - INFO - Epoch(train) [61][1940/3757] lr: 1.0000e-03 eta: 1 day, 3:32:24 time: 0.6774 data_time: 0.0222 memory: 17350 grad_norm: 7.2814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0376 loss: 1.0376 2022/07/23 22:09:17 - mmengine - INFO - Epoch(train) [61][1960/3757] lr: 1.0000e-03 eta: 1 day, 3:32:11 time: 0.6877 data_time: 0.0224 memory: 17350 grad_norm: 7.1839 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2015 loss: 1.2015 2022/07/23 22:09:30 - mmengine - INFO - Epoch(train) [61][1980/3757] lr: 1.0000e-03 eta: 1 day, 3:31:57 time: 0.6305 data_time: 0.0241 memory: 17350 grad_norm: 7.2168 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9638 loss: 0.9638 2022/07/23 22:09:43 - mmengine - INFO - Epoch(train) [61][2000/3757] lr: 1.0000e-03 eta: 1 day, 3:31:44 time: 0.6877 data_time: 0.0449 memory: 17350 grad_norm: 7.4011 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2053 loss: 1.2053 2022/07/23 22:09:56 - mmengine - INFO - Epoch(train) [61][2020/3757] lr: 1.0000e-03 eta: 1 day, 3:31:31 time: 0.6462 data_time: 0.0881 memory: 17350 grad_norm: 6.9341 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0526 loss: 1.0526 2022/07/23 22:10:09 - mmengine - INFO - Epoch(train) [61][2040/3757] lr: 1.0000e-03 eta: 1 day, 3:31:17 time: 0.6581 data_time: 0.1382 memory: 17350 grad_norm: 7.3150 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2248 loss: 1.2248 2022/07/23 22:10:23 - mmengine - INFO - Epoch(train) [61][2060/3757] lr: 1.0000e-03 eta: 1 day, 3:31:04 time: 0.6790 data_time: 0.1607 memory: 17350 grad_norm: 7.3884 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1714 loss: 1.1714 2022/07/23 22:10:36 - mmengine - INFO - Epoch(train) [61][2080/3757] lr: 1.0000e-03 eta: 1 day, 3:30:50 time: 0.6346 data_time: 0.0961 memory: 17350 grad_norm: 7.1520 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2295 loss: 1.2295 2022/07/23 22:10:50 - mmengine - INFO - Epoch(train) [61][2100/3757] lr: 1.0000e-03 eta: 1 day, 3:30:37 time: 0.7088 data_time: 0.1020 memory: 17350 grad_norm: 6.9333 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0772 loss: 1.0772 2022/07/23 22:11:02 - mmengine - INFO - Epoch(train) [61][2120/3757] lr: 1.0000e-03 eta: 1 day, 3:30:23 time: 0.6180 data_time: 0.0578 memory: 17350 grad_norm: 7.1994 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1491 loss: 1.1491 2022/07/23 22:11:17 - mmengine - INFO - Epoch(train) [61][2140/3757] lr: 1.0000e-03 eta: 1 day, 3:30:11 time: 0.7385 data_time: 0.0264 memory: 17350 grad_norm: 7.0970 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1381 loss: 1.1381 2022/07/23 22:11:29 - mmengine - INFO - Epoch(train) [61][2160/3757] lr: 1.0000e-03 eta: 1 day, 3:29:57 time: 0.6136 data_time: 0.0298 memory: 17350 grad_norm: 7.0472 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3566 loss: 1.3566 2022/07/23 22:11:45 - mmengine - INFO - Epoch(train) [61][2180/3757] lr: 1.0000e-03 eta: 1 day, 3:29:44 time: 0.7594 data_time: 0.0222 memory: 17350 grad_norm: 6.9465 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4261 loss: 1.4261 2022/07/23 22:11:56 - mmengine - INFO - Epoch(train) [61][2200/3757] lr: 1.0000e-03 eta: 1 day, 3:29:30 time: 0.5579 data_time: 0.0236 memory: 17350 grad_norm: 7.2067 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1784 loss: 1.1784 2022/07/23 22:12:11 - mmengine - INFO - Epoch(train) [61][2220/3757] lr: 1.0000e-03 eta: 1 day, 3:29:17 time: 0.7543 data_time: 0.0232 memory: 17350 grad_norm: 7.5399 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2318 loss: 1.2318 2022/07/23 22:12:23 - mmengine - INFO - Epoch(train) [61][2240/3757] lr: 1.0000e-03 eta: 1 day, 3:29:03 time: 0.6030 data_time: 0.0230 memory: 17350 grad_norm: 7.5021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2647 loss: 1.2647 2022/07/23 22:12:38 - mmengine - INFO - Epoch(train) [61][2260/3757] lr: 1.0000e-03 eta: 1 day, 3:28:51 time: 0.7267 data_time: 0.0218 memory: 17350 grad_norm: 7.4500 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0961 loss: 1.0961 2022/07/23 22:12:49 - mmengine - INFO - Epoch(train) [61][2280/3757] lr: 1.0000e-03 eta: 1 day, 3:28:36 time: 0.5521 data_time: 0.0232 memory: 17350 grad_norm: 7.1097 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0549 loss: 1.0549 2022/07/23 22:13:03 - mmengine - INFO - Epoch(train) [61][2300/3757] lr: 1.0000e-03 eta: 1 day, 3:28:23 time: 0.7440 data_time: 0.0218 memory: 17350 grad_norm: 7.5865 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2671 loss: 1.2671 2022/07/23 22:13:15 - mmengine - INFO - Epoch(train) [61][2320/3757] lr: 1.0000e-03 eta: 1 day, 3:28:09 time: 0.5767 data_time: 0.0227 memory: 17350 grad_norm: 7.4155 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4034 loss: 1.4034 2022/07/23 22:13:29 - mmengine - INFO - Epoch(train) [61][2340/3757] lr: 1.0000e-03 eta: 1 day, 3:27:56 time: 0.6918 data_time: 0.0645 memory: 17350 grad_norm: 6.9337 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0322 loss: 1.0322 2022/07/23 22:13:42 - mmengine - INFO - Epoch(train) [61][2360/3757] lr: 1.0000e-03 eta: 1 day, 3:27:42 time: 0.6471 data_time: 0.0270 memory: 17350 grad_norm: 7.2015 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2936 loss: 1.2936 2022/07/23 22:13:56 - mmengine - INFO - Epoch(train) [61][2380/3757] lr: 1.0000e-03 eta: 1 day, 3:27:29 time: 0.7044 data_time: 0.0227 memory: 17350 grad_norm: 7.2201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2831 loss: 1.2831 2022/07/23 22:14:09 - mmengine - INFO - Epoch(train) [61][2400/3757] lr: 1.0000e-03 eta: 1 day, 3:27:15 time: 0.6293 data_time: 0.0214 memory: 17350 grad_norm: 7.3485 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3748 loss: 1.3748 2022/07/23 22:14:22 - mmengine - INFO - Epoch(train) [61][2420/3757] lr: 1.0000e-03 eta: 1 day, 3:27:02 time: 0.6851 data_time: 0.0236 memory: 17350 grad_norm: 6.9035 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2497 loss: 1.2497 2022/07/23 22:14:36 - mmengine - INFO - Epoch(train) [61][2440/3757] lr: 1.0000e-03 eta: 1 day, 3:26:49 time: 0.7018 data_time: 0.0220 memory: 17350 grad_norm: 7.3445 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1608 loss: 1.1608 2022/07/23 22:14:50 - mmengine - INFO - Epoch(train) [61][2460/3757] lr: 1.0000e-03 eta: 1 day, 3:26:36 time: 0.6629 data_time: 0.0224 memory: 17350 grad_norm: 6.9756 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2083 loss: 1.2083 2022/07/23 22:15:03 - mmengine - INFO - Epoch(train) [61][2480/3757] lr: 1.0000e-03 eta: 1 day, 3:26:22 time: 0.6508 data_time: 0.0232 memory: 17350 grad_norm: 7.4108 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3866 loss: 1.3866 2022/07/23 22:15:17 - mmengine - INFO - Epoch(train) [61][2500/3757] lr: 1.0000e-03 eta: 1 day, 3:26:09 time: 0.7199 data_time: 0.0260 memory: 17350 grad_norm: 7.5014 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1544 loss: 1.1544 2022/07/23 22:15:30 - mmengine - INFO - Epoch(train) [61][2520/3757] lr: 1.0000e-03 eta: 1 day, 3:25:56 time: 0.6330 data_time: 0.0234 memory: 17350 grad_norm: 7.1482 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2952 loss: 1.2952 2022/07/23 22:15:42 - mmengine - INFO - Epoch(train) [61][2540/3757] lr: 1.0000e-03 eta: 1 day, 3:25:42 time: 0.6274 data_time: 0.0236 memory: 17350 grad_norm: 6.9826 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9473 loss: 0.9473 2022/07/23 22:15:55 - mmengine - INFO - Epoch(train) [61][2560/3757] lr: 1.0000e-03 eta: 1 day, 3:25:28 time: 0.6521 data_time: 0.0229 memory: 17350 grad_norm: 7.3174 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4627 loss: 1.4627 2022/07/23 22:16:11 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 22:16:11 - mmengine - INFO - Epoch(train) [61][2580/3757] lr: 1.0000e-03 eta: 1 day, 3:25:16 time: 0.7647 data_time: 0.0221 memory: 17350 grad_norm: 6.9058 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1493 loss: 1.1493 2022/07/23 22:16:23 - mmengine - INFO - Epoch(train) [61][2600/3757] lr: 1.0000e-03 eta: 1 day, 3:25:02 time: 0.5947 data_time: 0.0266 memory: 17350 grad_norm: 6.8987 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1844 loss: 1.1844 2022/07/23 22:16:36 - mmengine - INFO - Epoch(train) [61][2620/3757] lr: 1.0000e-03 eta: 1 day, 3:24:49 time: 0.6892 data_time: 0.0233 memory: 17350 grad_norm: 7.4822 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0891 loss: 1.0891 2022/07/23 22:16:48 - mmengine - INFO - Epoch(train) [61][2640/3757] lr: 1.0000e-03 eta: 1 day, 3:24:34 time: 0.5904 data_time: 0.0210 memory: 17350 grad_norm: 7.3031 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1358 loss: 1.1358 2022/07/23 22:17:03 - mmengine - INFO - Epoch(train) [61][2660/3757] lr: 1.0000e-03 eta: 1 day, 3:24:22 time: 0.7292 data_time: 0.0257 memory: 17350 grad_norm: 7.4595 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0594 loss: 1.0594 2022/07/23 22:17:14 - mmengine - INFO - Epoch(train) [61][2680/3757] lr: 1.0000e-03 eta: 1 day, 3:24:07 time: 0.5625 data_time: 0.0236 memory: 17350 grad_norm: 7.5533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0677 loss: 1.0677 2022/07/23 22:17:27 - mmengine - INFO - Epoch(train) [61][2700/3757] lr: 1.0000e-03 eta: 1 day, 3:23:53 time: 0.6354 data_time: 0.0225 memory: 17350 grad_norm: 7.0634 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1691 loss: 1.1691 2022/07/23 22:17:40 - mmengine - INFO - Epoch(train) [61][2720/3757] lr: 1.0000e-03 eta: 1 day, 3:23:40 time: 0.6643 data_time: 0.0217 memory: 17350 grad_norm: 6.7191 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7982 loss: 0.7982 2022/07/23 22:17:54 - mmengine - INFO - Epoch(train) [61][2740/3757] lr: 1.0000e-03 eta: 1 day, 3:23:26 time: 0.6774 data_time: 0.0232 memory: 17350 grad_norm: 7.2886 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4287 loss: 1.4287 2022/07/23 22:18:07 - mmengine - INFO - Epoch(train) [61][2760/3757] lr: 1.0000e-03 eta: 1 day, 3:23:13 time: 0.6922 data_time: 0.0231 memory: 17350 grad_norm: 7.0952 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0413 loss: 1.0413 2022/07/23 22:18:20 - mmengine - INFO - Epoch(train) [61][2780/3757] lr: 1.0000e-03 eta: 1 day, 3:23:00 time: 0.6377 data_time: 0.0216 memory: 17350 grad_norm: 7.0830 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2429 loss: 1.2429 2022/07/23 22:18:34 - mmengine - INFO - Epoch(train) [61][2800/3757] lr: 1.0000e-03 eta: 1 day, 3:22:46 time: 0.6774 data_time: 0.0474 memory: 17350 grad_norm: 6.9801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1692 loss: 1.1692 2022/07/23 22:18:48 - mmengine - INFO - Epoch(train) [61][2820/3757] lr: 1.0000e-03 eta: 1 day, 3:22:34 time: 0.7069 data_time: 0.0220 memory: 17350 grad_norm: 7.0961 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3849 loss: 1.3849 2022/07/23 22:19:00 - mmengine - INFO - Epoch(train) [61][2840/3757] lr: 1.0000e-03 eta: 1 day, 3:22:20 time: 0.6240 data_time: 0.0239 memory: 17350 grad_norm: 7.0374 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1967 loss: 1.1967 2022/07/23 22:19:15 - mmengine - INFO - Epoch(train) [61][2860/3757] lr: 1.0000e-03 eta: 1 day, 3:22:07 time: 0.7184 data_time: 0.0223 memory: 17350 grad_norm: 7.3072 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4019 loss: 1.4019 2022/07/23 22:19:27 - mmengine - INFO - Epoch(train) [61][2880/3757] lr: 1.0000e-03 eta: 1 day, 3:21:53 time: 0.6244 data_time: 0.0216 memory: 17350 grad_norm: 7.6259 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2426 loss: 1.2426 2022/07/23 22:19:41 - mmengine - INFO - Epoch(train) [61][2900/3757] lr: 1.0000e-03 eta: 1 day, 3:21:40 time: 0.6908 data_time: 0.0215 memory: 17350 grad_norm: 7.1501 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9925 loss: 0.9925 2022/07/23 22:19:54 - mmengine - INFO - Epoch(train) [61][2920/3757] lr: 1.0000e-03 eta: 1 day, 3:21:26 time: 0.6339 data_time: 0.0223 memory: 17350 grad_norm: 7.0947 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1438 loss: 1.1438 2022/07/23 22:20:07 - mmengine - INFO - Epoch(train) [61][2940/3757] lr: 1.0000e-03 eta: 1 day, 3:21:13 time: 0.6783 data_time: 0.0235 memory: 17350 grad_norm: 7.2522 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3620 loss: 1.3620 2022/07/23 22:20:21 - mmengine - INFO - Epoch(train) [61][2960/3757] lr: 1.0000e-03 eta: 1 day, 3:21:00 time: 0.7030 data_time: 0.0245 memory: 17350 grad_norm: 7.4026 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1401 loss: 1.1401 2022/07/23 22:20:34 - mmengine - INFO - Epoch(train) [61][2980/3757] lr: 1.0000e-03 eta: 1 day, 3:20:46 time: 0.6344 data_time: 0.0268 memory: 17350 grad_norm: 7.6814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2186 loss: 1.2186 2022/07/23 22:20:49 - mmengine - INFO - Epoch(train) [61][3000/3757] lr: 1.0000e-03 eta: 1 day, 3:20:34 time: 0.7369 data_time: 0.0231 memory: 17350 grad_norm: 7.2443 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4507 loss: 1.4507 2022/07/23 22:21:01 - mmengine - INFO - Epoch(train) [61][3020/3757] lr: 1.0000e-03 eta: 1 day, 3:20:19 time: 0.5836 data_time: 0.0262 memory: 17350 grad_norm: 7.3986 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1487 loss: 1.1487 2022/07/23 22:21:15 - mmengine - INFO - Epoch(train) [61][3040/3757] lr: 1.0000e-03 eta: 1 day, 3:20:07 time: 0.7320 data_time: 0.0234 memory: 17350 grad_norm: 7.1341 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1271 loss: 1.1271 2022/07/23 22:21:28 - mmengine - INFO - Epoch(train) [61][3060/3757] lr: 1.0000e-03 eta: 1 day, 3:19:53 time: 0.6187 data_time: 0.0231 memory: 17350 grad_norm: 7.0198 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0148 loss: 1.0148 2022/07/23 22:21:42 - mmengine - INFO - Epoch(train) [61][3080/3757] lr: 1.0000e-03 eta: 1 day, 3:19:40 time: 0.7186 data_time: 0.0211 memory: 17350 grad_norm: 7.2357 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1429 loss: 1.1429 2022/07/23 22:21:54 - mmengine - INFO - Epoch(train) [61][3100/3757] lr: 1.0000e-03 eta: 1 day, 3:19:26 time: 0.6102 data_time: 0.0245 memory: 17350 grad_norm: 7.3502 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0974 loss: 1.0974 2022/07/23 22:22:08 - mmengine - INFO - Epoch(train) [61][3120/3757] lr: 1.0000e-03 eta: 1 day, 3:19:13 time: 0.7015 data_time: 0.0231 memory: 17350 grad_norm: 7.3278 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3957 loss: 1.3957 2022/07/23 22:22:21 - mmengine - INFO - Epoch(train) [61][3140/3757] lr: 1.0000e-03 eta: 1 day, 3:18:59 time: 0.6352 data_time: 0.0234 memory: 17350 grad_norm: 7.3753 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2698 loss: 1.2698 2022/07/23 22:22:35 - mmengine - INFO - Epoch(train) [61][3160/3757] lr: 1.0000e-03 eta: 1 day, 3:18:46 time: 0.6961 data_time: 0.0237 memory: 17350 grad_norm: 7.2704 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2141 loss: 1.2141 2022/07/23 22:22:48 - mmengine - INFO - Epoch(train) [61][3180/3757] lr: 1.0000e-03 eta: 1 day, 3:18:32 time: 0.6552 data_time: 0.0238 memory: 17350 grad_norm: 6.8243 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0078 loss: 1.0078 2022/07/23 22:23:01 - mmengine - INFO - Epoch(train) [61][3200/3757] lr: 1.0000e-03 eta: 1 day, 3:18:19 time: 0.6521 data_time: 0.0211 memory: 17350 grad_norm: 7.3444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2608 loss: 1.2608 2022/07/23 22:23:15 - mmengine - INFO - Epoch(train) [61][3220/3757] lr: 1.0000e-03 eta: 1 day, 3:18:06 time: 0.6712 data_time: 0.0439 memory: 17350 grad_norm: 7.4602 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9891 loss: 0.9891 2022/07/23 22:23:28 - mmengine - INFO - Epoch(train) [61][3240/3757] lr: 1.0000e-03 eta: 1 day, 3:17:52 time: 0.6638 data_time: 0.0542 memory: 17350 grad_norm: 7.2914 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2821 loss: 1.2821 2022/07/23 22:23:41 - mmengine - INFO - Epoch(train) [61][3260/3757] lr: 1.0000e-03 eta: 1 day, 3:17:39 time: 0.6730 data_time: 0.1347 memory: 17350 grad_norm: 7.2926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2194 loss: 1.2194 2022/07/23 22:23:55 - mmengine - INFO - Epoch(train) [61][3280/3757] lr: 1.0000e-03 eta: 1 day, 3:17:26 time: 0.6704 data_time: 0.0876 memory: 17350 grad_norm: 7.1078 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2016 loss: 1.2016 2022/07/23 22:24:07 - mmengine - INFO - Epoch(train) [61][3300/3757] lr: 1.0000e-03 eta: 1 day, 3:17:12 time: 0.6368 data_time: 0.1023 memory: 17350 grad_norm: 7.3112 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5420 loss: 1.5420 2022/07/23 22:24:22 - mmengine - INFO - Epoch(train) [61][3320/3757] lr: 1.0000e-03 eta: 1 day, 3:16:59 time: 0.6996 data_time: 0.0624 memory: 17350 grad_norm: 7.3486 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2649 loss: 1.2649 2022/07/23 22:24:35 - mmengine - INFO - Epoch(train) [61][3340/3757] lr: 1.0000e-03 eta: 1 day, 3:16:45 time: 0.6495 data_time: 0.0956 memory: 17350 grad_norm: 7.3178 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0225 loss: 1.0225 2022/07/23 22:24:49 - mmengine - INFO - Epoch(train) [61][3360/3757] lr: 1.0000e-03 eta: 1 day, 3:16:32 time: 0.7001 data_time: 0.0776 memory: 17350 grad_norm: 7.3580 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2495 loss: 1.2495 2022/07/23 22:25:01 - mmengine - INFO - Epoch(train) [61][3380/3757] lr: 1.0000e-03 eta: 1 day, 3:16:19 time: 0.6422 data_time: 0.0565 memory: 17350 grad_norm: 7.3073 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2974 loss: 1.2974 2022/07/23 22:25:16 - mmengine - INFO - Epoch(train) [61][3400/3757] lr: 1.0000e-03 eta: 1 day, 3:16:06 time: 0.7213 data_time: 0.0346 memory: 17350 grad_norm: 7.4440 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1746 loss: 1.1746 2022/07/23 22:25:28 - mmengine - INFO - Epoch(train) [61][3420/3757] lr: 1.0000e-03 eta: 1 day, 3:15:52 time: 0.6196 data_time: 0.0660 memory: 17350 grad_norm: 7.2575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2468 loss: 1.2468 2022/07/23 22:25:42 - mmengine - INFO - Epoch(train) [61][3440/3757] lr: 1.0000e-03 eta: 1 day, 3:15:39 time: 0.7085 data_time: 0.0737 memory: 17350 grad_norm: 7.1643 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2171 loss: 1.2171 2022/07/23 22:25:55 - mmengine - INFO - Epoch(train) [61][3460/3757] lr: 1.0000e-03 eta: 1 day, 3:15:25 time: 0.6098 data_time: 0.0471 memory: 17350 grad_norm: 7.5916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4579 loss: 1.4579 2022/07/23 22:26:09 - mmengine - INFO - Epoch(train) [61][3480/3757] lr: 1.0000e-03 eta: 1 day, 3:15:12 time: 0.7138 data_time: 0.0211 memory: 17350 grad_norm: 7.0897 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2355 loss: 1.2355 2022/07/23 22:26:21 - mmengine - INFO - Epoch(train) [61][3500/3757] lr: 1.0000e-03 eta: 1 day, 3:14:58 time: 0.6074 data_time: 0.0225 memory: 17350 grad_norm: 7.4807 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5247 loss: 1.5247 2022/07/23 22:26:34 - mmengine - INFO - Epoch(train) [61][3520/3757] lr: 1.0000e-03 eta: 1 day, 3:14:44 time: 0.6563 data_time: 0.0236 memory: 17350 grad_norm: 7.3130 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2601 loss: 1.2601 2022/07/23 22:26:46 - mmengine - INFO - Epoch(train) [61][3540/3757] lr: 1.0000e-03 eta: 1 day, 3:14:30 time: 0.6084 data_time: 0.0327 memory: 17350 grad_norm: 7.3481 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3650 loss: 1.3650 2022/07/23 22:27:02 - mmengine - INFO - Epoch(train) [61][3560/3757] lr: 1.0000e-03 eta: 1 day, 3:14:18 time: 0.7637 data_time: 0.0243 memory: 17350 grad_norm: 7.4633 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4273 loss: 1.4273 2022/07/23 22:27:14 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 22:27:14 - mmengine - INFO - Epoch(train) [61][3580/3757] lr: 1.0000e-03 eta: 1 day, 3:14:04 time: 0.5957 data_time: 0.0231 memory: 17350 grad_norm: 7.3497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8175 loss: 0.8175 2022/07/23 22:27:28 - mmengine - INFO - Epoch(train) [61][3600/3757] lr: 1.0000e-03 eta: 1 day, 3:13:51 time: 0.7076 data_time: 0.0214 memory: 17350 grad_norm: 7.2489 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9737 loss: 0.9737 2022/07/23 22:27:40 - mmengine - INFO - Epoch(train) [61][3620/3757] lr: 1.0000e-03 eta: 1 day, 3:13:37 time: 0.6330 data_time: 0.0240 memory: 17350 grad_norm: 6.9821 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0897 loss: 1.0897 2022/07/23 22:27:54 - mmengine - INFO - Epoch(train) [61][3640/3757] lr: 1.0000e-03 eta: 1 day, 3:13:24 time: 0.7001 data_time: 0.0236 memory: 17350 grad_norm: 6.9679 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1794 loss: 1.1794 2022/07/23 22:28:06 - mmengine - INFO - Epoch(train) [61][3660/3757] lr: 1.0000e-03 eta: 1 day, 3:13:10 time: 0.5862 data_time: 0.0152 memory: 17350 grad_norm: 7.4858 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9462 loss: 0.9462 2022/07/23 22:28:20 - mmengine - INFO - Epoch(train) [61][3680/3757] lr: 1.0000e-03 eta: 1 day, 3:12:57 time: 0.7074 data_time: 0.0258 memory: 17350 grad_norm: 7.5043 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2327 loss: 1.2327 2022/07/23 22:28:33 - mmengine - INFO - Epoch(train) [61][3700/3757] lr: 1.0000e-03 eta: 1 day, 3:12:43 time: 0.6081 data_time: 0.0505 memory: 17350 grad_norm: 7.4620 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3806 loss: 1.3806 2022/07/23 22:28:46 - mmengine - INFO - Epoch(train) [61][3720/3757] lr: 1.0000e-03 eta: 1 day, 3:12:30 time: 0.6918 data_time: 0.0849 memory: 17350 grad_norm: 6.9869 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0796 loss: 1.0796 2022/07/23 22:28:59 - mmengine - INFO - Epoch(train) [61][3740/3757] lr: 1.0000e-03 eta: 1 day, 3:12:16 time: 0.6268 data_time: 0.1772 memory: 17350 grad_norm: 7.1083 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2651 loss: 1.2651 2022/07/23 22:29:08 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 22:29:08 - mmengine - INFO - Epoch(train) [61][3757/3757] lr: 1.0000e-03 eta: 1 day, 3:12:16 time: 0.5350 data_time: 0.0640 memory: 17350 grad_norm: 7.3087 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1999 loss: 1.1999 2022/07/23 22:29:24 - mmengine - INFO - Epoch(val) [61][20/310] eta: 0:04:01 time: 0.8325 data_time: 0.7177 memory: 3406 2022/07/23 22:29:35 - mmengine - INFO - Epoch(val) [61][40/310] eta: 0:02:21 time: 0.5252 data_time: 0.4116 memory: 3406 2022/07/23 22:29:51 - mmengine - INFO - Epoch(val) [61][60/310] eta: 0:03:17 time: 0.7886 data_time: 0.6739 memory: 3406 2022/07/23 22:30:02 - mmengine - INFO - Epoch(val) [61][80/310] eta: 0:02:08 time: 0.5579 data_time: 0.4460 memory: 3406 2022/07/23 22:30:18 - mmengine - INFO - Epoch(val) [61][100/310] eta: 0:02:52 time: 0.8194 data_time: 0.7068 memory: 3406 2022/07/23 22:30:29 - mmengine - INFO - Epoch(val) [61][120/310] eta: 0:01:41 time: 0.5368 data_time: 0.4228 memory: 3406 2022/07/23 22:30:44 - mmengine - INFO - Epoch(val) [61][140/310] eta: 0:02:08 time: 0.7583 data_time: 0.6457 memory: 3406 2022/07/23 22:30:55 - mmengine - INFO - Epoch(val) [61][160/310] eta: 0:01:20 time: 0.5361 data_time: 0.4223 memory: 3406 2022/07/23 22:31:10 - mmengine - INFO - Epoch(val) [61][180/310] eta: 0:01:39 time: 0.7655 data_time: 0.6523 memory: 3406 2022/07/23 22:31:22 - mmengine - INFO - Epoch(val) [61][200/310] eta: 0:01:03 time: 0.5764 data_time: 0.4637 memory: 3406 2022/07/23 22:31:38 - mmengine - INFO - Epoch(val) [61][220/310] eta: 0:01:11 time: 0.7959 data_time: 0.6751 memory: 3406 2022/07/23 22:31:49 - mmengine - INFO - Epoch(val) [61][240/310] eta: 0:00:37 time: 0.5413 data_time: 0.4290 memory: 3406 2022/07/23 22:32:04 - mmengine - INFO - Epoch(val) [61][260/310] eta: 0:00:38 time: 0.7692 data_time: 0.6552 memory: 3406 2022/07/23 22:32:15 - mmengine - INFO - Epoch(val) [61][280/310] eta: 0:00:16 time: 0.5529 data_time: 0.4380 memory: 3406 2022/07/23 22:32:30 - mmengine - INFO - Epoch(val) [61][300/310] eta: 0:00:07 time: 0.7308 data_time: 0.6157 memory: 3406 2022/07/23 22:32:34 - mmengine - INFO - Epoch(val) [61][310/310] acc/top1: 0.6767 acc/top5: 0.8737 acc/mean1: 0.6766 2022/07/23 22:32:51 - mmengine - INFO - Epoch(train) [62][20/3757] lr: 1.0000e-03 eta: 1 day, 3:11:47 time: 0.8824 data_time: 0.4483 memory: 17350 grad_norm: 7.4478 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2504 loss: 1.2504 2022/07/23 22:33:04 - mmengine - INFO - Epoch(train) [62][40/3757] lr: 1.0000e-03 eta: 1 day, 3:11:33 time: 0.6229 data_time: 0.2642 memory: 17350 grad_norm: 7.1057 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1756 loss: 1.1756 2022/07/23 22:33:18 - mmengine - INFO - Epoch(train) [62][60/3757] lr: 1.0000e-03 eta: 1 day, 3:11:20 time: 0.7248 data_time: 0.3840 memory: 17350 grad_norm: 7.0445 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2356 loss: 1.2356 2022/07/23 22:33:30 - mmengine - INFO - Epoch(train) [62][80/3757] lr: 1.0000e-03 eta: 1 day, 3:11:05 time: 0.5822 data_time: 0.2497 memory: 17350 grad_norm: 7.3151 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4136 loss: 1.4136 2022/07/23 22:33:45 - mmengine - INFO - Epoch(train) [62][100/3757] lr: 1.0000e-03 eta: 1 day, 3:10:53 time: 0.7312 data_time: 0.3822 memory: 17350 grad_norm: 7.3322 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2889 loss: 1.2889 2022/07/23 22:33:57 - mmengine - INFO - Epoch(train) [62][120/3757] lr: 1.0000e-03 eta: 1 day, 3:10:39 time: 0.6229 data_time: 0.2113 memory: 17350 grad_norm: 7.4276 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0670 loss: 1.0670 2022/07/23 22:34:12 - mmengine - INFO - Epoch(train) [62][140/3757] lr: 1.0000e-03 eta: 1 day, 3:10:27 time: 0.7560 data_time: 0.3294 memory: 17350 grad_norm: 7.2210 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1274 loss: 1.1274 2022/07/23 22:34:24 - mmengine - INFO - Epoch(train) [62][160/3757] lr: 1.0000e-03 eta: 1 day, 3:10:12 time: 0.5796 data_time: 0.2421 memory: 17350 grad_norm: 6.8246 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1135 loss: 1.1135 2022/07/23 22:34:38 - mmengine - INFO - Epoch(train) [62][180/3757] lr: 1.0000e-03 eta: 1 day, 3:10:00 time: 0.7272 data_time: 0.3795 memory: 17350 grad_norm: 7.2777 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3336 loss: 1.3336 2022/07/23 22:34:51 - mmengine - INFO - Epoch(train) [62][200/3757] lr: 1.0000e-03 eta: 1 day, 3:09:46 time: 0.6400 data_time: 0.2410 memory: 17350 grad_norm: 7.1661 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1575 loss: 1.1575 2022/07/23 22:35:06 - mmengine - INFO - Epoch(train) [62][220/3757] lr: 1.0000e-03 eta: 1 day, 3:09:33 time: 0.7242 data_time: 0.3648 memory: 17350 grad_norm: 7.4056 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5227 loss: 1.5227 2022/07/23 22:35:19 - mmengine - INFO - Epoch(train) [62][240/3757] lr: 1.0000e-03 eta: 1 day, 3:09:20 time: 0.6656 data_time: 0.3291 memory: 17350 grad_norm: 6.9859 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0903 loss: 1.0903 2022/07/23 22:35:34 - mmengine - INFO - Epoch(train) [62][260/3757] lr: 1.0000e-03 eta: 1 day, 3:09:07 time: 0.7223 data_time: 0.3277 memory: 17350 grad_norm: 7.2978 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0556 loss: 1.0556 2022/07/23 22:35:45 - mmengine - INFO - Epoch(train) [62][280/3757] lr: 1.0000e-03 eta: 1 day, 3:08:53 time: 0.5918 data_time: 0.2467 memory: 17350 grad_norm: 7.3508 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4649 loss: 1.4649 2022/07/23 22:36:00 - mmengine - INFO - Epoch(train) [62][300/3757] lr: 1.0000e-03 eta: 1 day, 3:08:40 time: 0.7291 data_time: 0.3626 memory: 17350 grad_norm: 7.5302 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3037 loss: 1.3037 2022/07/23 22:36:12 - mmengine - INFO - Epoch(train) [62][320/3757] lr: 1.0000e-03 eta: 1 day, 3:08:26 time: 0.6054 data_time: 0.1773 memory: 17350 grad_norm: 7.3308 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3832 loss: 1.3832 2022/07/23 22:36:26 - mmengine - INFO - Epoch(train) [62][340/3757] lr: 1.0000e-03 eta: 1 day, 3:08:13 time: 0.7144 data_time: 0.2855 memory: 17350 grad_norm: 7.1934 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1696 loss: 1.1696 2022/07/23 22:36:39 - mmengine - INFO - Epoch(train) [62][360/3757] lr: 1.0000e-03 eta: 1 day, 3:07:59 time: 0.6018 data_time: 0.1480 memory: 17350 grad_norm: 7.3257 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2074 loss: 1.2074 2022/07/23 22:36:54 - mmengine - INFO - Epoch(train) [62][380/3757] lr: 1.0000e-03 eta: 1 day, 3:07:47 time: 0.7597 data_time: 0.2432 memory: 17350 grad_norm: 7.1446 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0263 loss: 1.0263 2022/07/23 22:37:05 - mmengine - INFO - Epoch(train) [62][400/3757] lr: 1.0000e-03 eta: 1 day, 3:07:32 time: 0.5761 data_time: 0.1681 memory: 17350 grad_norm: 7.3864 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9009 loss: 0.9009 2022/07/23 22:37:19 - mmengine - INFO - Epoch(train) [62][420/3757] lr: 1.0000e-03 eta: 1 day, 3:07:20 time: 0.7119 data_time: 0.2284 memory: 17350 grad_norm: 7.3292 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0886 loss: 1.0886 2022/07/23 22:37:33 - mmengine - INFO - Epoch(train) [62][440/3757] lr: 1.0000e-03 eta: 1 day, 3:07:06 time: 0.6669 data_time: 0.0924 memory: 17350 grad_norm: 7.1278 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8577 loss: 0.8577 2022/07/23 22:37:47 - mmengine - INFO - Epoch(train) [62][460/3757] lr: 1.0000e-03 eta: 1 day, 3:06:53 time: 0.7015 data_time: 0.0249 memory: 17350 grad_norm: 7.4710 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1621 loss: 1.1621 2022/07/23 22:38:00 - mmengine - INFO - Epoch(train) [62][480/3757] lr: 1.0000e-03 eta: 1 day, 3:06:39 time: 0.6335 data_time: 0.0219 memory: 17350 grad_norm: 7.2175 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1285 loss: 1.1285 2022/07/23 22:38:13 - mmengine - INFO - Epoch(train) [62][500/3757] lr: 1.0000e-03 eta: 1 day, 3:06:26 time: 0.6955 data_time: 0.0262 memory: 17350 grad_norm: 7.2612 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3085 loss: 1.3085 2022/07/23 22:38:25 - mmengine - INFO - Epoch(train) [62][520/3757] lr: 1.0000e-03 eta: 1 day, 3:06:12 time: 0.5966 data_time: 0.0233 memory: 17350 grad_norm: 7.1669 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0047 loss: 1.0047 2022/07/23 22:38:40 - mmengine - INFO - Epoch(train) [62][540/3757] lr: 1.0000e-03 eta: 1 day, 3:05:59 time: 0.7188 data_time: 0.0243 memory: 17350 grad_norm: 7.0682 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3732 loss: 1.3732 2022/07/23 22:38:52 - mmengine - INFO - Epoch(train) [62][560/3757] lr: 1.0000e-03 eta: 1 day, 3:05:45 time: 0.6091 data_time: 0.0417 memory: 17350 grad_norm: 7.2150 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1944 loss: 1.1944 2022/07/23 22:39:06 - mmengine - INFO - Epoch(train) [62][580/3757] lr: 1.0000e-03 eta: 1 day, 3:05:32 time: 0.7079 data_time: 0.0979 memory: 17350 grad_norm: 7.2525 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0105 loss: 1.0105 2022/07/23 22:39:18 - mmengine - INFO - Epoch(train) [62][600/3757] lr: 1.0000e-03 eta: 1 day, 3:05:18 time: 0.6126 data_time: 0.0538 memory: 17350 grad_norm: 7.3831 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3091 loss: 1.3091 2022/07/23 22:39:33 - mmengine - INFO - Epoch(train) [62][620/3757] lr: 1.0000e-03 eta: 1 day, 3:05:05 time: 0.7092 data_time: 0.0487 memory: 17350 grad_norm: 7.1089 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1630 loss: 1.1630 2022/07/23 22:39:45 - mmengine - INFO - Epoch(train) [62][640/3757] lr: 1.0000e-03 eta: 1 day, 3:04:52 time: 0.6375 data_time: 0.1671 memory: 17350 grad_norm: 7.1977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1854 loss: 1.1854 2022/07/23 22:40:01 - mmengine - INFO - Epoch(train) [62][660/3757] lr: 1.0000e-03 eta: 1 day, 3:04:40 time: 0.7623 data_time: 0.2498 memory: 17350 grad_norm: 7.4094 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4315 loss: 1.4315 2022/07/23 22:40:13 - mmengine - INFO - Epoch(train) [62][680/3757] lr: 1.0000e-03 eta: 1 day, 3:04:25 time: 0.5908 data_time: 0.2181 memory: 17350 grad_norm: 7.5137 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5430 loss: 1.5430 2022/07/23 22:40:28 - mmengine - INFO - Epoch(train) [62][700/3757] lr: 1.0000e-03 eta: 1 day, 3:04:13 time: 0.7547 data_time: 0.2726 memory: 17350 grad_norm: 7.1550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2590 loss: 1.2590 2022/07/23 22:40:40 - mmengine - INFO - Epoch(train) [62][720/3757] lr: 1.0000e-03 eta: 1 day, 3:03:59 time: 0.6079 data_time: 0.0957 memory: 17350 grad_norm: 7.7527 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3430 loss: 1.3430 2022/07/23 22:40:54 - mmengine - INFO - Epoch(train) [62][740/3757] lr: 1.0000e-03 eta: 1 day, 3:03:46 time: 0.6964 data_time: 0.2400 memory: 17350 grad_norm: 7.3549 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3681 loss: 1.3681 2022/07/23 22:41:05 - mmengine - INFO - Epoch(train) [62][760/3757] lr: 1.0000e-03 eta: 1 day, 3:03:31 time: 0.5814 data_time: 0.2113 memory: 17350 grad_norm: 7.1935 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3091 loss: 1.3091 2022/07/23 22:41:21 - mmengine - INFO - Epoch(train) [62][780/3757] lr: 1.0000e-03 eta: 1 day, 3:03:19 time: 0.7559 data_time: 0.3795 memory: 17350 grad_norm: 7.7368 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4276 loss: 1.4276 2022/07/23 22:41:32 - mmengine - INFO - Epoch(train) [62][800/3757] lr: 1.0000e-03 eta: 1 day, 3:03:05 time: 0.5792 data_time: 0.2318 memory: 17350 grad_norm: 7.5821 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2103 loss: 1.2103 2022/07/23 22:41:47 - mmengine - INFO - Epoch(train) [62][820/3757] lr: 1.0000e-03 eta: 1 day, 3:02:52 time: 0.7341 data_time: 0.3150 memory: 17350 grad_norm: 7.3183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3064 loss: 1.3064 2022/07/23 22:41:48 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 22:42:00 - mmengine - INFO - Epoch(train) [62][840/3757] lr: 1.0000e-03 eta: 1 day, 3:02:39 time: 0.6774 data_time: 0.1510 memory: 17350 grad_norm: 6.9726 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0824 loss: 1.0824 2022/07/23 22:42:14 - mmengine - INFO - Epoch(train) [62][860/3757] lr: 1.0000e-03 eta: 1 day, 3:02:26 time: 0.6787 data_time: 0.0853 memory: 17350 grad_norm: 7.5956 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2791 loss: 1.2791 2022/07/23 22:42:26 - mmengine - INFO - Epoch(train) [62][880/3757] lr: 1.0000e-03 eta: 1 day, 3:02:12 time: 0.6258 data_time: 0.1470 memory: 17350 grad_norm: 7.3265 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2202 loss: 1.2202 2022/07/23 22:42:41 - mmengine - INFO - Epoch(train) [62][900/3757] lr: 1.0000e-03 eta: 1 day, 3:01:59 time: 0.7080 data_time: 0.2708 memory: 17350 grad_norm: 7.0018 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1861 loss: 1.1861 2022/07/23 22:42:53 - mmengine - INFO - Epoch(train) [62][920/3757] lr: 1.0000e-03 eta: 1 day, 3:01:45 time: 0.6164 data_time: 0.2687 memory: 17350 grad_norm: 7.2863 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2966 loss: 1.2966 2022/07/23 22:43:07 - mmengine - INFO - Epoch(train) [62][940/3757] lr: 1.0000e-03 eta: 1 day, 3:01:32 time: 0.6934 data_time: 0.3588 memory: 17350 grad_norm: 7.1937 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9712 loss: 0.9712 2022/07/23 22:43:19 - mmengine - INFO - Epoch(train) [62][960/3757] lr: 1.0000e-03 eta: 1 day, 3:01:18 time: 0.6262 data_time: 0.2426 memory: 17350 grad_norm: 7.5312 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1769 loss: 1.1769 2022/07/23 22:43:34 - mmengine - INFO - Epoch(train) [62][980/3757] lr: 1.0000e-03 eta: 1 day, 3:01:06 time: 0.7522 data_time: 0.2344 memory: 17350 grad_norm: 7.2476 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1387 loss: 1.1387 2022/07/23 22:43:46 - mmengine - INFO - Epoch(train) [62][1000/3757] lr: 1.0000e-03 eta: 1 day, 3:00:51 time: 0.5955 data_time: 0.1939 memory: 17350 grad_norm: 7.6241 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3139 loss: 1.3139 2022/07/23 22:44:02 - mmengine - INFO - Epoch(train) [62][1020/3757] lr: 1.0000e-03 eta: 1 day, 3:00:39 time: 0.7670 data_time: 0.2897 memory: 17350 grad_norm: 7.0514 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9144 loss: 0.9144 2022/07/23 22:44:14 - mmengine - INFO - Epoch(train) [62][1040/3757] lr: 1.0000e-03 eta: 1 day, 3:00:25 time: 0.5897 data_time: 0.0742 memory: 17350 grad_norm: 7.4345 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1762 loss: 1.1762 2022/07/23 22:44:29 - mmengine - INFO - Epoch(train) [62][1060/3757] lr: 1.0000e-03 eta: 1 day, 3:00:13 time: 0.7610 data_time: 0.0509 memory: 17350 grad_norm: 7.3070 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9518 loss: 0.9518 2022/07/23 22:44:41 - mmengine - INFO - Epoch(train) [62][1080/3757] lr: 1.0000e-03 eta: 1 day, 2:59:58 time: 0.5862 data_time: 0.0216 memory: 17350 grad_norm: 7.5790 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0668 loss: 1.0668 2022/07/23 22:44:54 - mmengine - INFO - Epoch(train) [62][1100/3757] lr: 1.0000e-03 eta: 1 day, 2:59:45 time: 0.6954 data_time: 0.0514 memory: 17350 grad_norm: 6.9414 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0429 loss: 1.0429 2022/07/23 22:45:07 - mmengine - INFO - Epoch(train) [62][1120/3757] lr: 1.0000e-03 eta: 1 day, 2:59:31 time: 0.6238 data_time: 0.0563 memory: 17350 grad_norm: 6.9960 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2537 loss: 1.2537 2022/07/23 22:45:22 - mmengine - INFO - Epoch(train) [62][1140/3757] lr: 1.0000e-03 eta: 1 day, 2:59:19 time: 0.7345 data_time: 0.0602 memory: 17350 grad_norm: 7.1817 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.0043 loss: 1.0043 2022/07/23 22:45:34 - mmengine - INFO - Epoch(train) [62][1160/3757] lr: 1.0000e-03 eta: 1 day, 2:59:05 time: 0.6146 data_time: 0.0237 memory: 17350 grad_norm: 7.3054 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4312 loss: 1.4312 2022/07/23 22:45:48 - mmengine - INFO - Epoch(train) [62][1180/3757] lr: 1.0000e-03 eta: 1 day, 2:58:52 time: 0.7059 data_time: 0.0399 memory: 17350 grad_norm: 6.9694 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1882 loss: 1.1882 2022/07/23 22:46:01 - mmengine - INFO - Epoch(train) [62][1200/3757] lr: 1.0000e-03 eta: 1 day, 2:58:38 time: 0.6587 data_time: 0.0341 memory: 17350 grad_norm: 7.2719 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1737 loss: 1.1737 2022/07/23 22:46:15 - mmengine - INFO - Epoch(train) [62][1220/3757] lr: 1.0000e-03 eta: 1 day, 2:58:25 time: 0.6855 data_time: 0.0255 memory: 17350 grad_norm: 7.2847 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1873 loss: 1.1873 2022/07/23 22:46:27 - mmengine - INFO - Epoch(train) [62][1240/3757] lr: 1.0000e-03 eta: 1 day, 2:58:11 time: 0.6070 data_time: 0.0222 memory: 17350 grad_norm: 6.7395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2518 loss: 1.2518 2022/07/23 22:46:42 - mmengine - INFO - Epoch(train) [62][1260/3757] lr: 1.0000e-03 eta: 1 day, 2:57:58 time: 0.7301 data_time: 0.0218 memory: 17350 grad_norm: 7.0168 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9105 loss: 0.9105 2022/07/23 22:46:54 - mmengine - INFO - Epoch(train) [62][1280/3757] lr: 1.0000e-03 eta: 1 day, 2:57:44 time: 0.5969 data_time: 0.0258 memory: 17350 grad_norm: 7.4539 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2869 loss: 1.2869 2022/07/23 22:47:08 - mmengine - INFO - Epoch(train) [62][1300/3757] lr: 1.0000e-03 eta: 1 day, 2:57:31 time: 0.7262 data_time: 0.0256 memory: 17350 grad_norm: 7.3862 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4673 loss: 1.4673 2022/07/23 22:47:21 - mmengine - INFO - Epoch(train) [62][1320/3757] lr: 1.0000e-03 eta: 1 day, 2:57:18 time: 0.6324 data_time: 0.0228 memory: 17350 grad_norm: 7.2096 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1149 loss: 1.1149 2022/07/23 22:47:35 - mmengine - INFO - Epoch(train) [62][1340/3757] lr: 1.0000e-03 eta: 1 day, 2:57:05 time: 0.7163 data_time: 0.0348 memory: 17350 grad_norm: 7.3486 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1788 loss: 1.1788 2022/07/23 22:47:47 - mmengine - INFO - Epoch(train) [62][1360/3757] lr: 1.0000e-03 eta: 1 day, 2:56:50 time: 0.5779 data_time: 0.0238 memory: 17350 grad_norm: 7.1422 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1167 loss: 1.1167 2022/07/23 22:48:01 - mmengine - INFO - Epoch(train) [62][1380/3757] lr: 1.0000e-03 eta: 1 day, 2:56:38 time: 0.7177 data_time: 0.0318 memory: 17350 grad_norm: 7.2388 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3898 loss: 1.3898 2022/07/23 22:48:14 - mmengine - INFO - Epoch(train) [62][1400/3757] lr: 1.0000e-03 eta: 1 day, 2:56:24 time: 0.6313 data_time: 0.0323 memory: 17350 grad_norm: 7.0359 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1152 loss: 1.1152 2022/07/23 22:48:27 - mmengine - INFO - Epoch(train) [62][1420/3757] lr: 1.0000e-03 eta: 1 day, 2:56:11 time: 0.6746 data_time: 0.0462 memory: 17350 grad_norm: 7.3881 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2667 loss: 1.2667 2022/07/23 22:48:41 - mmengine - INFO - Epoch(train) [62][1440/3757] lr: 1.0000e-03 eta: 1 day, 2:55:57 time: 0.6809 data_time: 0.0240 memory: 17350 grad_norm: 7.1006 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1213 loss: 1.1213 2022/07/23 22:48:54 - mmengine - INFO - Epoch(train) [62][1460/3757] lr: 1.0000e-03 eta: 1 day, 2:55:43 time: 0.6266 data_time: 0.0229 memory: 17350 grad_norm: 7.4000 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0699 loss: 1.0699 2022/07/23 22:49:08 - mmengine - INFO - Epoch(train) [62][1480/3757] lr: 1.0000e-03 eta: 1 day, 2:55:31 time: 0.7185 data_time: 0.0232 memory: 17350 grad_norm: 7.0430 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0532 loss: 1.0532 2022/07/23 22:49:19 - mmengine - INFO - Epoch(train) [62][1500/3757] lr: 1.0000e-03 eta: 1 day, 2:55:16 time: 0.5752 data_time: 0.0255 memory: 17350 grad_norm: 6.9303 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0769 loss: 1.0769 2022/07/23 22:49:34 - mmengine - INFO - Epoch(train) [62][1520/3757] lr: 1.0000e-03 eta: 1 day, 2:55:04 time: 0.7408 data_time: 0.0221 memory: 17350 grad_norm: 7.0218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3196 loss: 1.3196 2022/07/23 22:49:47 - mmengine - INFO - Epoch(train) [62][1540/3757] lr: 1.0000e-03 eta: 1 day, 2:54:50 time: 0.6366 data_time: 0.0222 memory: 17350 grad_norm: 7.0911 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3144 loss: 1.3144 2022/07/23 22:50:01 - mmengine - INFO - Epoch(train) [62][1560/3757] lr: 1.0000e-03 eta: 1 day, 2:54:37 time: 0.6876 data_time: 0.0227 memory: 17350 grad_norm: 7.5825 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3369 loss: 1.3369 2022/07/23 22:50:13 - mmengine - INFO - Epoch(train) [62][1580/3757] lr: 1.0000e-03 eta: 1 day, 2:54:23 time: 0.6085 data_time: 0.0249 memory: 17350 grad_norm: 7.4804 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4140 loss: 1.4140 2022/07/23 22:50:27 - mmengine - INFO - Epoch(train) [62][1600/3757] lr: 1.0000e-03 eta: 1 day, 2:54:10 time: 0.7180 data_time: 0.0241 memory: 17350 grad_norm: 7.1478 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0306 loss: 1.0306 2022/07/23 22:50:41 - mmengine - INFO - Epoch(train) [62][1620/3757] lr: 1.0000e-03 eta: 1 day, 2:53:57 time: 0.6712 data_time: 0.0235 memory: 17350 grad_norm: 7.4617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3235 loss: 1.3235 2022/07/23 22:50:55 - mmengine - INFO - Epoch(train) [62][1640/3757] lr: 1.0000e-03 eta: 1 day, 2:53:44 time: 0.7103 data_time: 0.0240 memory: 17350 grad_norm: 7.2128 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1959 loss: 1.1959 2022/07/23 22:51:07 - mmengine - INFO - Epoch(train) [62][1660/3757] lr: 1.0000e-03 eta: 1 day, 2:53:30 time: 0.6022 data_time: 0.0251 memory: 17350 grad_norm: 7.1700 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1844 loss: 1.1844 2022/07/23 22:51:22 - mmengine - INFO - Epoch(train) [62][1680/3757] lr: 1.0000e-03 eta: 1 day, 2:53:17 time: 0.7274 data_time: 0.0211 memory: 17350 grad_norm: 7.1823 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2170 loss: 1.2170 2022/07/23 22:51:34 - mmengine - INFO - Epoch(train) [62][1700/3757] lr: 1.0000e-03 eta: 1 day, 2:53:03 time: 0.6105 data_time: 0.0230 memory: 17350 grad_norm: 7.2391 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3264 loss: 1.3264 2022/07/23 22:51:49 - mmengine - INFO - Epoch(train) [62][1720/3757] lr: 1.0000e-03 eta: 1 day, 2:52:50 time: 0.7445 data_time: 0.0224 memory: 17350 grad_norm: 7.2420 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2626 loss: 1.2626 2022/07/23 22:52:01 - mmengine - INFO - Epoch(train) [62][1740/3757] lr: 1.0000e-03 eta: 1 day, 2:52:37 time: 0.6213 data_time: 0.0208 memory: 17350 grad_norm: 7.3296 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2691 loss: 1.2691 2022/07/23 22:52:15 - mmengine - INFO - Epoch(train) [62][1760/3757] lr: 1.0000e-03 eta: 1 day, 2:52:23 time: 0.6784 data_time: 0.0278 memory: 17350 grad_norm: 7.0717 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0449 loss: 1.0449 2022/07/23 22:52:28 - mmengine - INFO - Epoch(train) [62][1780/3757] lr: 1.0000e-03 eta: 1 day, 2:52:10 time: 0.6527 data_time: 0.0217 memory: 17350 grad_norm: 7.0464 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3942 loss: 1.3942 2022/07/23 22:52:42 - mmengine - INFO - Epoch(train) [62][1800/3757] lr: 1.0000e-03 eta: 1 day, 2:51:57 time: 0.7118 data_time: 0.0227 memory: 17350 grad_norm: 6.8299 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1720 loss: 1.1720 2022/07/23 22:52:55 - mmengine - INFO - Epoch(train) [62][1820/3757] lr: 1.0000e-03 eta: 1 day, 2:51:43 time: 0.6396 data_time: 0.0259 memory: 17350 grad_norm: 7.3932 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3604 loss: 1.3604 2022/07/23 22:52:56 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 22:53:08 - mmengine - INFO - Epoch(train) [62][1840/3757] lr: 1.0000e-03 eta: 1 day, 2:51:30 time: 0.6488 data_time: 0.0218 memory: 17350 grad_norm: 7.5244 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2333 loss: 1.2333 2022/07/23 22:53:20 - mmengine - INFO - Epoch(train) [62][1860/3757] lr: 1.0000e-03 eta: 1 day, 2:51:15 time: 0.5966 data_time: 0.0242 memory: 17350 grad_norm: 7.5601 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5028 loss: 1.5028 2022/07/23 22:53:33 - mmengine - INFO - Epoch(train) [62][1880/3757] lr: 1.0000e-03 eta: 1 day, 2:51:02 time: 0.6817 data_time: 0.0219 memory: 17350 grad_norm: 7.0251 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3865 loss: 1.3865 2022/07/23 22:53:46 - mmengine - INFO - Epoch(train) [62][1900/3757] lr: 1.0000e-03 eta: 1 day, 2:50:48 time: 0.6270 data_time: 0.0245 memory: 17350 grad_norm: 7.3638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0568 loss: 1.0568 2022/07/23 22:54:01 - mmengine - INFO - Epoch(train) [62][1920/3757] lr: 1.0000e-03 eta: 1 day, 2:50:36 time: 0.7251 data_time: 0.0223 memory: 17350 grad_norm: 7.4899 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5107 loss: 1.5107 2022/07/23 22:54:12 - mmengine - INFO - Epoch(train) [62][1940/3757] lr: 1.0000e-03 eta: 1 day, 2:50:21 time: 0.5802 data_time: 0.0270 memory: 17350 grad_norm: 7.3045 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1796 loss: 1.1796 2022/07/23 22:54:26 - mmengine - INFO - Epoch(train) [62][1960/3757] lr: 1.0000e-03 eta: 1 day, 2:50:08 time: 0.7040 data_time: 0.0227 memory: 17350 grad_norm: 7.1026 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2080 loss: 1.2080 2022/07/23 22:54:39 - mmengine - INFO - Epoch(train) [62][1980/3757] lr: 1.0000e-03 eta: 1 day, 2:49:54 time: 0.6135 data_time: 0.0257 memory: 17350 grad_norm: 7.0457 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0928 loss: 1.0928 2022/07/23 22:54:53 - mmengine - INFO - Epoch(train) [62][2000/3757] lr: 1.0000e-03 eta: 1 day, 2:49:41 time: 0.7181 data_time: 0.0204 memory: 17350 grad_norm: 6.9994 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4393 loss: 1.4393 2022/07/23 22:55:06 - mmengine - INFO - Epoch(train) [62][2020/3757] lr: 1.0000e-03 eta: 1 day, 2:49:28 time: 0.6466 data_time: 0.0238 memory: 17350 grad_norm: 7.2263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2456 loss: 1.2456 2022/07/23 22:55:20 - mmengine - INFO - Epoch(train) [62][2040/3757] lr: 1.0000e-03 eta: 1 day, 2:49:15 time: 0.6999 data_time: 0.0252 memory: 17350 grad_norm: 7.1495 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0393 loss: 1.0393 2022/07/23 22:55:32 - mmengine - INFO - Epoch(train) [62][2060/3757] lr: 1.0000e-03 eta: 1 day, 2:49:01 time: 0.6301 data_time: 0.0364 memory: 17350 grad_norm: 7.4236 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1602 loss: 1.1602 2022/07/23 22:55:46 - mmengine - INFO - Epoch(train) [62][2080/3757] lr: 1.0000e-03 eta: 1 day, 2:48:48 time: 0.6898 data_time: 0.0387 memory: 17350 grad_norm: 7.2756 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1225 loss: 1.1225 2022/07/23 22:55:59 - mmengine - INFO - Epoch(train) [62][2100/3757] lr: 1.0000e-03 eta: 1 day, 2:48:34 time: 0.6487 data_time: 0.0645 memory: 17350 grad_norm: 7.3406 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2031 loss: 1.2031 2022/07/23 22:56:12 - mmengine - INFO - Epoch(train) [62][2120/3757] lr: 1.0000e-03 eta: 1 day, 2:48:21 time: 0.6526 data_time: 0.0208 memory: 17350 grad_norm: 7.2162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3159 loss: 1.3159 2022/07/23 22:56:28 - mmengine - INFO - Epoch(train) [62][2140/3757] lr: 1.0000e-03 eta: 1 day, 2:48:08 time: 0.7570 data_time: 0.0263 memory: 17350 grad_norm: 7.2623 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3357 loss: 1.3357 2022/07/23 22:56:39 - mmengine - INFO - Epoch(train) [62][2160/3757] lr: 1.0000e-03 eta: 1 day, 2:47:54 time: 0.5606 data_time: 0.0235 memory: 17350 grad_norm: 7.2975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3720 loss: 1.3720 2022/07/23 22:56:53 - mmengine - INFO - Epoch(train) [62][2180/3757] lr: 1.0000e-03 eta: 1 day, 2:47:41 time: 0.7044 data_time: 0.0239 memory: 17350 grad_norm: 7.2985 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4172 loss: 1.4172 2022/07/23 22:57:05 - mmengine - INFO - Epoch(train) [62][2200/3757] lr: 1.0000e-03 eta: 1 day, 2:47:27 time: 0.6080 data_time: 0.0530 memory: 17350 grad_norm: 7.2780 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1528 loss: 1.1528 2022/07/23 22:57:19 - mmengine - INFO - Epoch(train) [62][2220/3757] lr: 1.0000e-03 eta: 1 day, 2:47:14 time: 0.7214 data_time: 0.1248 memory: 17350 grad_norm: 7.4191 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2028 loss: 1.2028 2022/07/23 22:57:32 - mmengine - INFO - Epoch(train) [62][2240/3757] lr: 1.0000e-03 eta: 1 day, 2:47:00 time: 0.6299 data_time: 0.1802 memory: 17350 grad_norm: 7.3047 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2481 loss: 1.2481 2022/07/23 22:57:47 - mmengine - INFO - Epoch(train) [62][2260/3757] lr: 1.0000e-03 eta: 1 day, 2:46:48 time: 0.7333 data_time: 0.1946 memory: 17350 grad_norm: 7.0438 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1480 loss: 1.1480 2022/07/23 22:57:59 - mmengine - INFO - Epoch(train) [62][2280/3757] lr: 1.0000e-03 eta: 1 day, 2:46:33 time: 0.6008 data_time: 0.0717 memory: 17350 grad_norm: 7.5343 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0283 loss: 1.0283 2022/07/23 22:58:14 - mmengine - INFO - Epoch(train) [62][2300/3757] lr: 1.0000e-03 eta: 1 day, 2:46:21 time: 0.7540 data_time: 0.2009 memory: 17350 grad_norm: 7.5949 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1770 loss: 1.1770 2022/07/23 22:58:27 - mmengine - INFO - Epoch(train) [62][2320/3757] lr: 1.0000e-03 eta: 1 day, 2:46:07 time: 0.6349 data_time: 0.0794 memory: 17350 grad_norm: 7.2814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1309 loss: 1.1309 2022/07/23 22:58:41 - mmengine - INFO - Epoch(train) [62][2340/3757] lr: 1.0000e-03 eta: 1 day, 2:45:54 time: 0.6970 data_time: 0.0541 memory: 17350 grad_norm: 7.2883 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1815 loss: 1.1815 2022/07/23 22:58:53 - mmengine - INFO - Epoch(train) [62][2360/3757] lr: 1.0000e-03 eta: 1 day, 2:45:40 time: 0.6173 data_time: 0.0225 memory: 17350 grad_norm: 7.5048 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5890 loss: 1.5890 2022/07/23 22:59:06 - mmengine - INFO - Epoch(train) [62][2380/3757] lr: 1.0000e-03 eta: 1 day, 2:45:27 time: 0.6542 data_time: 0.0311 memory: 17350 grad_norm: 7.5509 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2834 loss: 1.2834 2022/07/23 22:59:18 - mmengine - INFO - Epoch(train) [62][2400/3757] lr: 1.0000e-03 eta: 1 day, 2:45:13 time: 0.6164 data_time: 0.0508 memory: 17350 grad_norm: 7.3482 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4047 loss: 1.4047 2022/07/23 22:59:33 - mmengine - INFO - Epoch(train) [62][2420/3757] lr: 1.0000e-03 eta: 1 day, 2:45:00 time: 0.7383 data_time: 0.0261 memory: 17350 grad_norm: 7.2082 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9907 loss: 0.9907 2022/07/23 22:59:46 - mmengine - INFO - Epoch(train) [62][2440/3757] lr: 1.0000e-03 eta: 1 day, 2:44:47 time: 0.6395 data_time: 0.0334 memory: 17350 grad_norm: 7.3529 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2236 loss: 1.2236 2022/07/23 22:59:59 - mmengine - INFO - Epoch(train) [62][2460/3757] lr: 1.0000e-03 eta: 1 day, 2:44:33 time: 0.6776 data_time: 0.0236 memory: 17350 grad_norm: 7.2483 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2911 loss: 1.2911 2022/07/23 23:00:13 - mmengine - INFO - Epoch(train) [62][2480/3757] lr: 1.0000e-03 eta: 1 day, 2:44:20 time: 0.6794 data_time: 0.0226 memory: 17350 grad_norm: 7.4780 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3536 loss: 1.3536 2022/07/23 23:00:27 - mmengine - INFO - Epoch(train) [62][2500/3757] lr: 1.0000e-03 eta: 1 day, 2:44:07 time: 0.6718 data_time: 0.0252 memory: 17350 grad_norm: 7.4811 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1525 loss: 1.1525 2022/07/23 23:00:40 - mmengine - INFO - Epoch(train) [62][2520/3757] lr: 1.0000e-03 eta: 1 day, 2:43:53 time: 0.6515 data_time: 0.0220 memory: 17350 grad_norm: 7.6491 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1982 loss: 1.1982 2022/07/23 23:00:53 - mmengine - INFO - Epoch(train) [62][2540/3757] lr: 1.0000e-03 eta: 1 day, 2:43:40 time: 0.6729 data_time: 0.0244 memory: 17350 grad_norm: 7.4172 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0656 loss: 1.0656 2022/07/23 23:01:07 - mmengine - INFO - Epoch(train) [62][2560/3757] lr: 1.0000e-03 eta: 1 day, 2:43:27 time: 0.6851 data_time: 0.0224 memory: 17350 grad_norm: 7.5618 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2346 loss: 1.2346 2022/07/23 23:01:20 - mmengine - INFO - Epoch(train) [62][2580/3757] lr: 1.0000e-03 eta: 1 day, 2:43:13 time: 0.6744 data_time: 0.0237 memory: 17350 grad_norm: 7.1444 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0976 loss: 1.0976 2022/07/23 23:01:33 - mmengine - INFO - Epoch(train) [62][2600/3757] lr: 1.0000e-03 eta: 1 day, 2:42:59 time: 0.6135 data_time: 0.0211 memory: 17350 grad_norm: 7.1825 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2076 loss: 1.2076 2022/07/23 23:01:46 - mmengine - INFO - Epoch(train) [62][2620/3757] lr: 1.0000e-03 eta: 1 day, 2:42:46 time: 0.6837 data_time: 0.0259 memory: 17350 grad_norm: 7.1569 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2357 loss: 1.2357 2022/07/23 23:01:59 - mmengine - INFO - Epoch(train) [62][2640/3757] lr: 1.0000e-03 eta: 1 day, 2:42:33 time: 0.6464 data_time: 0.0231 memory: 17350 grad_norm: 7.1308 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0797 loss: 1.0797 2022/07/23 23:02:13 - mmengine - INFO - Epoch(train) [62][2660/3757] lr: 1.0000e-03 eta: 1 day, 2:42:19 time: 0.6703 data_time: 0.0226 memory: 17350 grad_norm: 7.1179 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1442 loss: 1.1442 2022/07/23 23:02:27 - mmengine - INFO - Epoch(train) [62][2680/3757] lr: 1.0000e-03 eta: 1 day, 2:42:06 time: 0.7222 data_time: 0.0233 memory: 17350 grad_norm: 7.1834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3369 loss: 1.3369 2022/07/23 23:02:39 - mmengine - INFO - Epoch(train) [62][2700/3757] lr: 1.0000e-03 eta: 1 day, 2:41:52 time: 0.5774 data_time: 0.0236 memory: 17350 grad_norm: 6.9475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1444 loss: 1.1444 2022/07/23 23:02:53 - mmengine - INFO - Epoch(train) [62][2720/3757] lr: 1.0000e-03 eta: 1 day, 2:41:39 time: 0.7182 data_time: 0.0245 memory: 17350 grad_norm: 7.3269 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6635 loss: 1.6635 2022/07/23 23:03:07 - mmengine - INFO - Epoch(train) [62][2740/3757] lr: 1.0000e-03 eta: 1 day, 2:41:26 time: 0.6754 data_time: 0.0227 memory: 17350 grad_norm: 7.3988 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2782 loss: 1.2782 2022/07/23 23:03:20 - mmengine - INFO - Epoch(train) [62][2760/3757] lr: 1.0000e-03 eta: 1 day, 2:41:13 time: 0.6739 data_time: 0.0223 memory: 17350 grad_norm: 7.3394 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2111 loss: 1.2111 2022/07/23 23:03:33 - mmengine - INFO - Epoch(train) [62][2780/3757] lr: 1.0000e-03 eta: 1 day, 2:40:59 time: 0.6255 data_time: 0.0231 memory: 17350 grad_norm: 7.5295 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1891 loss: 1.1891 2022/07/23 23:03:47 - mmengine - INFO - Epoch(train) [62][2800/3757] lr: 1.0000e-03 eta: 1 day, 2:40:46 time: 0.7063 data_time: 0.0228 memory: 17350 grad_norm: 7.0726 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0820 loss: 1.0820 2022/07/23 23:03:59 - mmengine - INFO - Epoch(train) [62][2820/3757] lr: 1.0000e-03 eta: 1 day, 2:40:32 time: 0.5961 data_time: 0.0244 memory: 17350 grad_norm: 7.2651 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1605 loss: 1.1605 2022/07/23 23:04:02 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 23:04:14 - mmengine - INFO - Epoch(train) [62][2840/3757] lr: 1.0000e-03 eta: 1 day, 2:40:19 time: 0.7465 data_time: 0.0241 memory: 17350 grad_norm: 7.3070 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0037 loss: 1.0037 2022/07/23 23:04:25 - mmengine - INFO - Epoch(train) [62][2860/3757] lr: 1.0000e-03 eta: 1 day, 2:40:05 time: 0.5738 data_time: 0.0241 memory: 17350 grad_norm: 7.0732 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2489 loss: 1.2489 2022/07/23 23:04:40 - mmengine - INFO - Epoch(train) [62][2880/3757] lr: 1.0000e-03 eta: 1 day, 2:39:52 time: 0.7390 data_time: 0.0234 memory: 17350 grad_norm: 7.4166 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5379 loss: 1.5379 2022/07/23 23:04:52 - mmengine - INFO - Epoch(train) [62][2900/3757] lr: 1.0000e-03 eta: 1 day, 2:39:38 time: 0.6166 data_time: 0.0246 memory: 17350 grad_norm: 7.4020 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3307 loss: 1.3307 2022/07/23 23:05:06 - mmengine - INFO - Epoch(train) [62][2920/3757] lr: 1.0000e-03 eta: 1 day, 2:39:25 time: 0.7077 data_time: 0.0218 memory: 17350 grad_norm: 7.6099 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1782 loss: 1.1782 2022/07/23 23:05:19 - mmengine - INFO - Epoch(train) [62][2940/3757] lr: 1.0000e-03 eta: 1 day, 2:39:11 time: 0.6086 data_time: 0.0165 memory: 17350 grad_norm: 7.2904 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2730 loss: 1.2730 2022/07/23 23:05:33 - mmengine - INFO - Epoch(train) [62][2960/3757] lr: 1.0000e-03 eta: 1 day, 2:38:59 time: 0.7311 data_time: 0.0221 memory: 17350 grad_norm: 7.3274 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2339 loss: 1.2339 2022/07/23 23:05:45 - mmengine - INFO - Epoch(train) [62][2980/3757] lr: 1.0000e-03 eta: 1 day, 2:38:44 time: 0.5866 data_time: 0.0234 memory: 17350 grad_norm: 7.3855 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1627 loss: 1.1627 2022/07/23 23:05:59 - mmengine - INFO - Epoch(train) [62][3000/3757] lr: 1.0000e-03 eta: 1 day, 2:38:32 time: 0.7217 data_time: 0.0235 memory: 17350 grad_norm: 7.4365 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0524 loss: 1.0524 2022/07/23 23:06:11 - mmengine - INFO - Epoch(train) [62][3020/3757] lr: 1.0000e-03 eta: 1 day, 2:38:17 time: 0.5642 data_time: 0.0230 memory: 17350 grad_norm: 6.9617 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9558 loss: 0.9558 2022/07/23 23:06:25 - mmengine - INFO - Epoch(train) [62][3040/3757] lr: 1.0000e-03 eta: 1 day, 2:38:04 time: 0.7381 data_time: 0.0210 memory: 17350 grad_norm: 7.3408 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1324 loss: 1.1324 2022/07/23 23:06:38 - mmengine - INFO - Epoch(train) [62][3060/3757] lr: 1.0000e-03 eta: 1 day, 2:37:50 time: 0.6161 data_time: 0.0225 memory: 17350 grad_norm: 7.4373 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2246 loss: 1.2246 2022/07/23 23:06:52 - mmengine - INFO - Epoch(train) [62][3080/3757] lr: 1.0000e-03 eta: 1 day, 2:37:38 time: 0.7161 data_time: 0.0229 memory: 17350 grad_norm: 7.3889 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0373 loss: 1.0373 2022/07/23 23:07:05 - mmengine - INFO - Epoch(train) [62][3100/3757] lr: 1.0000e-03 eta: 1 day, 2:37:24 time: 0.6430 data_time: 0.0244 memory: 17350 grad_norm: 7.3104 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3550 loss: 1.3550 2022/07/23 23:07:19 - mmengine - INFO - Epoch(train) [62][3120/3757] lr: 1.0000e-03 eta: 1 day, 2:37:11 time: 0.6832 data_time: 0.0251 memory: 17350 grad_norm: 7.2303 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2107 loss: 1.2107 2022/07/23 23:07:31 - mmengine - INFO - Epoch(train) [62][3140/3757] lr: 1.0000e-03 eta: 1 day, 2:36:57 time: 0.6321 data_time: 0.0230 memory: 17350 grad_norm: 7.4381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2864 loss: 1.2864 2022/07/23 23:07:45 - mmengine - INFO - Epoch(train) [62][3160/3757] lr: 1.0000e-03 eta: 1 day, 2:36:44 time: 0.6822 data_time: 0.0227 memory: 17350 grad_norm: 7.7701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0739 loss: 1.0739 2022/07/23 23:07:57 - mmengine - INFO - Epoch(train) [62][3180/3757] lr: 1.0000e-03 eta: 1 day, 2:36:30 time: 0.6093 data_time: 0.0241 memory: 17350 grad_norm: 7.2077 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2139 loss: 1.2139 2022/07/23 23:08:12 - mmengine - INFO - Epoch(train) [62][3200/3757] lr: 1.0000e-03 eta: 1 day, 2:36:17 time: 0.7175 data_time: 0.0221 memory: 17350 grad_norm: 7.1576 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4938 loss: 1.4938 2022/07/23 23:08:24 - mmengine - INFO - Epoch(train) [62][3220/3757] lr: 1.0000e-03 eta: 1 day, 2:36:03 time: 0.6070 data_time: 0.0217 memory: 17350 grad_norm: 7.2577 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8892 loss: 0.8892 2022/07/23 23:08:38 - mmengine - INFO - Epoch(train) [62][3240/3757] lr: 1.0000e-03 eta: 1 day, 2:35:50 time: 0.7374 data_time: 0.0232 memory: 17350 grad_norm: 7.0468 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1924 loss: 1.1924 2022/07/23 23:08:50 - mmengine - INFO - Epoch(train) [62][3260/3757] lr: 1.0000e-03 eta: 1 day, 2:35:36 time: 0.6005 data_time: 0.0243 memory: 17350 grad_norm: 7.3425 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1735 loss: 1.1735 2022/07/23 23:09:05 - mmengine - INFO - Epoch(train) [62][3280/3757] lr: 1.0000e-03 eta: 1 day, 2:35:23 time: 0.7061 data_time: 0.0243 memory: 17350 grad_norm: 7.0690 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1415 loss: 1.1415 2022/07/23 23:09:17 - mmengine - INFO - Epoch(train) [62][3300/3757] lr: 1.0000e-03 eta: 1 day, 2:35:09 time: 0.6213 data_time: 0.0227 memory: 17350 grad_norm: 7.5116 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2498 loss: 1.2498 2022/07/23 23:09:31 - mmengine - INFO - Epoch(train) [62][3320/3757] lr: 1.0000e-03 eta: 1 day, 2:34:56 time: 0.7044 data_time: 0.0378 memory: 17350 grad_norm: 7.4153 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1154 loss: 1.1154 2022/07/23 23:09:44 - mmengine - INFO - Epoch(train) [62][3340/3757] lr: 1.0000e-03 eta: 1 day, 2:34:42 time: 0.6331 data_time: 0.0220 memory: 17350 grad_norm: 7.6346 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1381 loss: 1.1381 2022/07/23 23:09:57 - mmengine - INFO - Epoch(train) [62][3360/3757] lr: 1.0000e-03 eta: 1 day, 2:34:29 time: 0.6759 data_time: 0.0268 memory: 17350 grad_norm: 7.5399 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1953 loss: 1.1953 2022/07/23 23:10:11 - mmengine - INFO - Epoch(train) [62][3380/3757] lr: 1.0000e-03 eta: 1 day, 2:34:16 time: 0.6872 data_time: 0.0226 memory: 17350 grad_norm: 7.1635 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2112 loss: 1.2112 2022/07/23 23:10:25 - mmengine - INFO - Epoch(train) [62][3400/3757] lr: 1.0000e-03 eta: 1 day, 2:34:03 time: 0.6873 data_time: 0.0357 memory: 17350 grad_norm: 7.4151 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4936 loss: 1.4936 2022/07/23 23:10:37 - mmengine - INFO - Epoch(train) [62][3420/3757] lr: 1.0000e-03 eta: 1 day, 2:33:49 time: 0.5844 data_time: 0.0438 memory: 17350 grad_norm: 7.2757 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0027 loss: 1.0027 2022/07/23 23:10:52 - mmengine - INFO - Epoch(train) [62][3440/3757] lr: 1.0000e-03 eta: 1 day, 2:33:36 time: 0.7703 data_time: 0.0208 memory: 17350 grad_norm: 7.0599 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0436 loss: 1.0436 2022/07/23 23:11:04 - mmengine - INFO - Epoch(train) [62][3460/3757] lr: 1.0000e-03 eta: 1 day, 2:33:22 time: 0.5781 data_time: 0.0245 memory: 17350 grad_norm: 7.4763 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1801 loss: 1.1801 2022/07/23 23:11:18 - mmengine - INFO - Epoch(train) [62][3480/3757] lr: 1.0000e-03 eta: 1 day, 2:33:09 time: 0.7128 data_time: 0.0208 memory: 17350 grad_norm: 7.2467 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1225 loss: 1.1225 2022/07/23 23:11:31 - mmengine - INFO - Epoch(train) [62][3500/3757] lr: 1.0000e-03 eta: 1 day, 2:32:55 time: 0.6436 data_time: 0.0231 memory: 17350 grad_norm: 7.1136 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0591 loss: 1.0591 2022/07/23 23:11:45 - mmengine - INFO - Epoch(train) [62][3520/3757] lr: 1.0000e-03 eta: 1 day, 2:32:43 time: 0.7173 data_time: 0.0360 memory: 17350 grad_norm: 7.1258 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2825 loss: 1.2825 2022/07/23 23:11:58 - mmengine - INFO - Epoch(train) [62][3540/3757] lr: 1.0000e-03 eta: 1 day, 2:32:29 time: 0.6285 data_time: 0.0225 memory: 17350 grad_norm: 7.4214 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3014 loss: 1.3014 2022/07/23 23:12:12 - mmengine - INFO - Epoch(train) [62][3560/3757] lr: 1.0000e-03 eta: 1 day, 2:32:16 time: 0.6955 data_time: 0.0225 memory: 17350 grad_norm: 7.5115 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0454 loss: 1.0454 2022/07/23 23:12:23 - mmengine - INFO - Epoch(train) [62][3580/3757] lr: 1.0000e-03 eta: 1 day, 2:32:01 time: 0.5717 data_time: 0.0343 memory: 17350 grad_norm: 7.2463 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3560 loss: 1.3560 2022/07/23 23:12:38 - mmengine - INFO - Epoch(train) [62][3600/3757] lr: 1.0000e-03 eta: 1 day, 2:31:49 time: 0.7461 data_time: 0.0225 memory: 17350 grad_norm: 7.5845 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2956 loss: 1.2956 2022/07/23 23:12:50 - mmengine - INFO - Epoch(train) [62][3620/3757] lr: 1.0000e-03 eta: 1 day, 2:31:35 time: 0.6107 data_time: 0.0229 memory: 17350 grad_norm: 7.0883 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9890 loss: 0.9890 2022/07/23 23:13:04 - mmengine - INFO - Epoch(train) [62][3640/3757] lr: 1.0000e-03 eta: 1 day, 2:31:21 time: 0.6679 data_time: 0.0236 memory: 17350 grad_norm: 7.5812 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2371 loss: 1.2371 2022/07/23 23:13:17 - mmengine - INFO - Epoch(train) [62][3660/3757] lr: 1.0000e-03 eta: 1 day, 2:31:08 time: 0.6923 data_time: 0.0230 memory: 17350 grad_norm: 7.2457 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4702 loss: 1.4702 2022/07/23 23:13:30 - mmengine - INFO - Epoch(train) [62][3680/3757] lr: 1.0000e-03 eta: 1 day, 2:30:55 time: 0.6440 data_time: 0.0235 memory: 17350 grad_norm: 7.6176 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2992 loss: 1.2992 2022/07/23 23:13:43 - mmengine - INFO - Epoch(train) [62][3700/3757] lr: 1.0000e-03 eta: 1 day, 2:30:41 time: 0.6519 data_time: 0.0227 memory: 17350 grad_norm: 7.5085 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2715 loss: 1.2715 2022/07/23 23:13:57 - mmengine - INFO - Epoch(train) [62][3720/3757] lr: 1.0000e-03 eta: 1 day, 2:30:28 time: 0.6866 data_time: 0.0203 memory: 17350 grad_norm: 7.6270 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1982 loss: 1.1982 2022/07/23 23:14:11 - mmengine - INFO - Epoch(train) [62][3740/3757] lr: 1.0000e-03 eta: 1 day, 2:30:15 time: 0.6686 data_time: 0.0221 memory: 17350 grad_norm: 7.2457 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2106 loss: 1.2106 2022/07/23 23:14:19 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 23:14:19 - mmengine - INFO - Epoch(train) [62][3757/3757] lr: 1.0000e-03 eta: 1 day, 2:30:15 time: 0.4902 data_time: 0.0227 memory: 17350 grad_norm: 7.4668 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.4143 loss: 1.4143 2022/07/23 23:14:36 - mmengine - INFO - Epoch(val) [62][20/310] eta: 0:03:58 time: 0.8230 data_time: 0.7073 memory: 3406 2022/07/23 23:14:47 - mmengine - INFO - Epoch(val) [62][40/310] eta: 0:02:25 time: 0.5387 data_time: 0.4260 memory: 3406 2022/07/23 23:15:02 - mmengine - INFO - Epoch(val) [62][60/310] eta: 0:03:14 time: 0.7793 data_time: 0.6645 memory: 3406 2022/07/23 23:15:14 - mmengine - INFO - Epoch(val) [62][80/310] eta: 0:02:15 time: 0.5885 data_time: 0.4768 memory: 3406 2022/07/23 23:15:29 - mmengine - INFO - Epoch(val) [62][100/310] eta: 0:02:41 time: 0.7667 data_time: 0.6523 memory: 3406 2022/07/23 23:15:40 - mmengine - INFO - Epoch(val) [62][120/310] eta: 0:01:44 time: 0.5490 data_time: 0.4367 memory: 3406 2022/07/23 23:15:56 - mmengine - INFO - Epoch(val) [62][140/310] eta: 0:02:14 time: 0.7890 data_time: 0.6759 memory: 3406 2022/07/23 23:16:07 - mmengine - INFO - Epoch(val) [62][160/310] eta: 0:01:18 time: 0.5256 data_time: 0.4120 memory: 3406 2022/07/23 23:16:22 - mmengine - INFO - Epoch(val) [62][180/310] eta: 0:01:37 time: 0.7522 data_time: 0.6386 memory: 3406 2022/07/23 23:16:33 - mmengine - INFO - Epoch(val) [62][200/310] eta: 0:01:01 time: 0.5593 data_time: 0.4448 memory: 3406 2022/07/23 23:16:48 - mmengine - INFO - Epoch(val) [62][220/310] eta: 0:01:09 time: 0.7707 data_time: 0.6578 memory: 3406 2022/07/23 23:16:59 - mmengine - INFO - Epoch(val) [62][240/310] eta: 0:00:37 time: 0.5365 data_time: 0.4254 memory: 3406 2022/07/23 23:17:14 - mmengine - INFO - Epoch(val) [62][260/310] eta: 0:00:38 time: 0.7690 data_time: 0.6556 memory: 3406 2022/07/23 23:17:25 - mmengine - INFO - Epoch(val) [62][280/310] eta: 0:00:16 time: 0.5488 data_time: 0.4322 memory: 3406 2022/07/23 23:17:40 - mmengine - INFO - Epoch(val) [62][300/310] eta: 0:00:07 time: 0.7461 data_time: 0.6332 memory: 3406 2022/07/23 23:17:45 - mmengine - INFO - Epoch(val) [62][310/310] acc/top1: 0.6749 acc/top5: 0.8729 acc/mean1: 0.6749 2022/07/23 23:18:03 - mmengine - INFO - Epoch(train) [63][20/3757] lr: 1.0000e-03 eta: 1 day, 2:29:46 time: 0.8753 data_time: 0.4436 memory: 17350 grad_norm: 7.3902 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1684 loss: 1.1684 2022/07/23 23:18:16 - mmengine - INFO - Epoch(train) [63][40/3757] lr: 1.0000e-03 eta: 1 day, 2:29:32 time: 0.6359 data_time: 0.1913 memory: 17350 grad_norm: 7.2945 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1357 loss: 1.1357 2022/07/23 23:18:31 - mmengine - INFO - Epoch(train) [63][60/3757] lr: 1.0000e-03 eta: 1 day, 2:29:19 time: 0.7407 data_time: 0.1406 memory: 17350 grad_norm: 7.3514 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0222 loss: 1.0222 2022/07/23 23:18:36 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 23:18:43 - mmengine - INFO - Epoch(train) [63][80/3757] lr: 1.0000e-03 eta: 1 day, 2:29:05 time: 0.6111 data_time: 0.0765 memory: 17350 grad_norm: 7.2638 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1632 loss: 1.1632 2022/07/23 23:18:58 - mmengine - INFO - Epoch(train) [63][100/3757] lr: 1.0000e-03 eta: 1 day, 2:28:53 time: 0.7647 data_time: 0.0575 memory: 17350 grad_norm: 7.3333 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0929 loss: 1.0929 2022/07/23 23:19:11 - mmengine - INFO - Epoch(train) [63][120/3757] lr: 1.0000e-03 eta: 1 day, 2:28:39 time: 0.6222 data_time: 0.0238 memory: 17350 grad_norm: 7.0701 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3690 loss: 1.3690 2022/07/23 23:19:24 - mmengine - INFO - Epoch(train) [63][140/3757] lr: 1.0000e-03 eta: 1 day, 2:28:26 time: 0.6803 data_time: 0.0224 memory: 17350 grad_norm: 7.2631 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2878 loss: 1.2878 2022/07/23 23:19:37 - mmengine - INFO - Epoch(train) [63][160/3757] lr: 1.0000e-03 eta: 1 day, 2:28:12 time: 0.6301 data_time: 0.0252 memory: 17350 grad_norm: 7.3435 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2186 loss: 1.2186 2022/07/23 23:19:52 - mmengine - INFO - Epoch(train) [63][180/3757] lr: 1.0000e-03 eta: 1 day, 2:28:00 time: 0.7384 data_time: 0.0251 memory: 17350 grad_norm: 7.5931 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2955 loss: 1.2955 2022/07/23 23:20:04 - mmengine - INFO - Epoch(train) [63][200/3757] lr: 1.0000e-03 eta: 1 day, 2:27:45 time: 0.6087 data_time: 0.0228 memory: 17350 grad_norm: 7.1963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1845 loss: 1.1845 2022/07/23 23:20:19 - mmengine - INFO - Epoch(train) [63][220/3757] lr: 1.0000e-03 eta: 1 day, 2:27:33 time: 0.7434 data_time: 0.0443 memory: 17350 grad_norm: 7.2050 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2574 loss: 1.2574 2022/07/23 23:20:31 - mmengine - INFO - Epoch(train) [63][240/3757] lr: 1.0000e-03 eta: 1 day, 2:27:19 time: 0.6319 data_time: 0.0506 memory: 17350 grad_norm: 6.9576 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2902 loss: 1.2902 2022/07/23 23:20:46 - mmengine - INFO - Epoch(train) [63][260/3757] lr: 1.0000e-03 eta: 1 day, 2:27:07 time: 0.7268 data_time: 0.0669 memory: 17350 grad_norm: 7.3692 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3867 loss: 1.3867 2022/07/23 23:20:58 - mmengine - INFO - Epoch(train) [63][280/3757] lr: 1.0000e-03 eta: 1 day, 2:26:52 time: 0.5843 data_time: 0.0901 memory: 17350 grad_norm: 7.1568 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1591 loss: 1.1591 2022/07/23 23:21:13 - mmengine - INFO - Epoch(train) [63][300/3757] lr: 1.0000e-03 eta: 1 day, 2:26:40 time: 0.7638 data_time: 0.0995 memory: 17350 grad_norm: 7.1914 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0671 loss: 1.0671 2022/07/23 23:21:25 - mmengine - INFO - Epoch(train) [63][320/3757] lr: 1.0000e-03 eta: 1 day, 2:26:26 time: 0.5918 data_time: 0.0243 memory: 17350 grad_norm: 7.6026 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2519 loss: 1.2519 2022/07/23 23:21:39 - mmengine - INFO - Epoch(train) [63][340/3757] lr: 1.0000e-03 eta: 1 day, 2:26:13 time: 0.7313 data_time: 0.0219 memory: 17350 grad_norm: 7.5931 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0912 loss: 1.0912 2022/07/23 23:21:51 - mmengine - INFO - Epoch(train) [63][360/3757] lr: 1.0000e-03 eta: 1 day, 2:25:59 time: 0.6003 data_time: 0.0240 memory: 17350 grad_norm: 7.7343 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3628 loss: 1.3628 2022/07/23 23:22:06 - mmengine - INFO - Epoch(train) [63][380/3757] lr: 1.0000e-03 eta: 1 day, 2:25:46 time: 0.7292 data_time: 0.0231 memory: 17350 grad_norm: 7.3181 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5625 loss: 1.5625 2022/07/23 23:22:18 - mmengine - INFO - Epoch(train) [63][400/3757] lr: 1.0000e-03 eta: 1 day, 2:25:32 time: 0.5966 data_time: 0.0239 memory: 17350 grad_norm: 7.0658 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0550 loss: 1.0550 2022/07/23 23:22:32 - mmengine - INFO - Epoch(train) [63][420/3757] lr: 1.0000e-03 eta: 1 day, 2:25:19 time: 0.7076 data_time: 0.0245 memory: 17350 grad_norm: 7.3078 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4292 loss: 1.4292 2022/07/23 23:22:44 - mmengine - INFO - Epoch(train) [63][440/3757] lr: 1.0000e-03 eta: 1 day, 2:25:05 time: 0.5954 data_time: 0.0224 memory: 17350 grad_norm: 7.4460 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1169 loss: 1.1169 2022/07/23 23:22:59 - mmengine - INFO - Epoch(train) [63][460/3757] lr: 1.0000e-03 eta: 1 day, 2:24:52 time: 0.7430 data_time: 0.0217 memory: 17350 grad_norm: 7.1765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1007 loss: 1.1007 2022/07/23 23:23:11 - mmengine - INFO - Epoch(train) [63][480/3757] lr: 1.0000e-03 eta: 1 day, 2:24:38 time: 0.5819 data_time: 0.0237 memory: 17350 grad_norm: 7.3319 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2557 loss: 1.2557 2022/07/23 23:23:25 - mmengine - INFO - Epoch(train) [63][500/3757] lr: 1.0000e-03 eta: 1 day, 2:24:25 time: 0.7100 data_time: 0.1037 memory: 17350 grad_norm: 7.2424 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0918 loss: 1.0918 2022/07/23 23:23:37 - mmengine - INFO - Epoch(train) [63][520/3757] lr: 1.0000e-03 eta: 1 day, 2:24:11 time: 0.6199 data_time: 0.1450 memory: 17350 grad_norm: 7.2674 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.2223 loss: 1.2223 2022/07/23 23:23:52 - mmengine - INFO - Epoch(train) [63][540/3757] lr: 1.0000e-03 eta: 1 day, 2:23:59 time: 0.7584 data_time: 0.2373 memory: 17350 grad_norm: 7.3151 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3565 loss: 1.3565 2022/07/23 23:24:04 - mmengine - INFO - Epoch(train) [63][560/3757] lr: 1.0000e-03 eta: 1 day, 2:23:45 time: 0.5880 data_time: 0.1160 memory: 17350 grad_norm: 7.2874 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0144 loss: 1.0144 2022/07/23 23:24:19 - mmengine - INFO - Epoch(train) [63][580/3757] lr: 1.0000e-03 eta: 1 day, 2:23:32 time: 0.7540 data_time: 0.0886 memory: 17350 grad_norm: 7.2051 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4064 loss: 1.4064 2022/07/23 23:24:31 - mmengine - INFO - Epoch(train) [63][600/3757] lr: 1.0000e-03 eta: 1 day, 2:23:18 time: 0.5867 data_time: 0.0327 memory: 17350 grad_norm: 7.1822 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1295 loss: 1.1295 2022/07/23 23:24:46 - mmengine - INFO - Epoch(train) [63][620/3757] lr: 1.0000e-03 eta: 1 day, 2:23:05 time: 0.7239 data_time: 0.0214 memory: 17350 grad_norm: 7.1476 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2073 loss: 1.2073 2022/07/23 23:24:58 - mmengine - INFO - Epoch(train) [63][640/3757] lr: 1.0000e-03 eta: 1 day, 2:22:51 time: 0.6218 data_time: 0.0303 memory: 17350 grad_norm: 7.6316 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0474 loss: 1.0474 2022/07/23 23:25:13 - mmengine - INFO - Epoch(train) [63][660/3757] lr: 1.0000e-03 eta: 1 day, 2:22:39 time: 0.7439 data_time: 0.0290 memory: 17350 grad_norm: 7.2701 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2616 loss: 1.2616 2022/07/23 23:25:26 - mmengine - INFO - Epoch(train) [63][680/3757] lr: 1.0000e-03 eta: 1 day, 2:22:25 time: 0.6291 data_time: 0.0225 memory: 17350 grad_norm: 7.5296 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2291 loss: 1.2291 2022/07/23 23:25:40 - mmengine - INFO - Epoch(train) [63][700/3757] lr: 1.0000e-03 eta: 1 day, 2:22:12 time: 0.7137 data_time: 0.0226 memory: 17350 grad_norm: 7.6864 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2248 loss: 1.2248 2022/07/23 23:25:51 - mmengine - INFO - Epoch(train) [63][720/3757] lr: 1.0000e-03 eta: 1 day, 2:21:58 time: 0.5727 data_time: 0.0204 memory: 17350 grad_norm: 7.0865 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0466 loss: 1.0466 2022/07/23 23:26:06 - mmengine - INFO - Epoch(train) [63][740/3757] lr: 1.0000e-03 eta: 1 day, 2:21:45 time: 0.7358 data_time: 0.0239 memory: 17350 grad_norm: 7.3601 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2931 loss: 1.2931 2022/07/23 23:26:18 - mmengine - INFO - Epoch(train) [63][760/3757] lr: 1.0000e-03 eta: 1 day, 2:21:31 time: 0.5971 data_time: 0.0238 memory: 17350 grad_norm: 7.3229 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1601 loss: 1.1601 2022/07/23 23:26:33 - mmengine - INFO - Epoch(train) [63][780/3757] lr: 1.0000e-03 eta: 1 day, 2:21:18 time: 0.7411 data_time: 0.0229 memory: 17350 grad_norm: 7.4237 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1723 loss: 1.1723 2022/07/23 23:26:45 - mmengine - INFO - Epoch(train) [63][800/3757] lr: 1.0000e-03 eta: 1 day, 2:21:04 time: 0.6075 data_time: 0.0229 memory: 17350 grad_norm: 7.3928 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2593 loss: 1.2593 2022/07/23 23:26:59 - mmengine - INFO - Epoch(train) [63][820/3757] lr: 1.0000e-03 eta: 1 day, 2:20:51 time: 0.7026 data_time: 0.0239 memory: 17350 grad_norm: 7.6911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1695 loss: 1.1695 2022/07/23 23:27:11 - mmengine - INFO - Epoch(train) [63][840/3757] lr: 1.0000e-03 eta: 1 day, 2:20:37 time: 0.6191 data_time: 0.0229 memory: 17350 grad_norm: 6.9698 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3821 loss: 1.3821 2022/07/23 23:27:26 - mmengine - INFO - Epoch(train) [63][860/3757] lr: 1.0000e-03 eta: 1 day, 2:20:25 time: 0.7283 data_time: 0.0221 memory: 17350 grad_norm: 7.0151 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9697 loss: 0.9697 2022/07/23 23:27:38 - mmengine - INFO - Epoch(train) [63][880/3757] lr: 1.0000e-03 eta: 1 day, 2:20:10 time: 0.5840 data_time: 0.0220 memory: 17350 grad_norm: 7.6470 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3641 loss: 1.3641 2022/07/23 23:27:52 - mmengine - INFO - Epoch(train) [63][900/3757] lr: 1.0000e-03 eta: 1 day, 2:19:58 time: 0.7185 data_time: 0.0220 memory: 17350 grad_norm: 7.2361 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2072 loss: 1.2072 2022/07/23 23:28:04 - mmengine - INFO - Epoch(train) [63][920/3757] lr: 1.0000e-03 eta: 1 day, 2:19:43 time: 0.5877 data_time: 0.0227 memory: 17350 grad_norm: 7.5776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1058 loss: 1.1058 2022/07/23 23:28:18 - mmengine - INFO - Epoch(train) [63][940/3757] lr: 1.0000e-03 eta: 1 day, 2:19:31 time: 0.7230 data_time: 0.0199 memory: 17350 grad_norm: 7.2852 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2139 loss: 1.2139 2022/07/23 23:28:30 - mmengine - INFO - Epoch(train) [63][960/3757] lr: 1.0000e-03 eta: 1 day, 2:19:16 time: 0.5925 data_time: 0.0297 memory: 17350 grad_norm: 7.2282 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2560 loss: 1.2560 2022/07/23 23:28:45 - mmengine - INFO - Epoch(train) [63][980/3757] lr: 1.0000e-03 eta: 1 day, 2:19:04 time: 0.7162 data_time: 0.0731 memory: 17350 grad_norm: 7.2118 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1213 loss: 1.1213 2022/07/23 23:28:57 - mmengine - INFO - Epoch(train) [63][1000/3757] lr: 1.0000e-03 eta: 1 day, 2:18:50 time: 0.6322 data_time: 0.0485 memory: 17350 grad_norm: 7.2311 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9518 loss: 0.9518 2022/07/23 23:29:12 - mmengine - INFO - Epoch(train) [63][1020/3757] lr: 1.0000e-03 eta: 1 day, 2:18:37 time: 0.7215 data_time: 0.0364 memory: 17350 grad_norm: 7.6475 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0679 loss: 1.0679 2022/07/23 23:29:24 - mmengine - INFO - Epoch(train) [63][1040/3757] lr: 1.0000e-03 eta: 1 day, 2:18:23 time: 0.6375 data_time: 0.0283 memory: 17350 grad_norm: 7.2488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3757 loss: 1.3757 2022/07/23 23:29:39 - mmengine - INFO - Epoch(train) [63][1060/3757] lr: 1.0000e-03 eta: 1 day, 2:18:11 time: 0.7370 data_time: 0.0320 memory: 17350 grad_norm: 7.5642 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1440 loss: 1.1440 2022/07/23 23:29:44 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 23:29:51 - mmengine - INFO - Epoch(train) [63][1080/3757] lr: 1.0000e-03 eta: 1 day, 2:17:57 time: 0.6151 data_time: 0.0254 memory: 17350 grad_norm: 6.9949 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0214 loss: 1.0214 2022/07/23 23:30:05 - mmengine - INFO - Epoch(train) [63][1100/3757] lr: 1.0000e-03 eta: 1 day, 2:17:44 time: 0.6866 data_time: 0.0239 memory: 17350 grad_norm: 7.3841 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2753 loss: 1.2753 2022/07/23 23:30:19 - mmengine - INFO - Epoch(train) [63][1120/3757] lr: 1.0000e-03 eta: 1 day, 2:17:31 time: 0.7133 data_time: 0.0222 memory: 17350 grad_norm: 7.2552 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1217 loss: 1.1217 2022/07/23 23:30:31 - mmengine - INFO - Epoch(train) [63][1140/3757] lr: 1.0000e-03 eta: 1 day, 2:17:16 time: 0.5815 data_time: 0.0238 memory: 17350 grad_norm: 7.2670 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1710 loss: 1.1710 2022/07/23 23:30:45 - mmengine - INFO - Epoch(train) [63][1160/3757] lr: 1.0000e-03 eta: 1 day, 2:17:03 time: 0.6745 data_time: 0.0219 memory: 17350 grad_norm: 7.2914 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1679 loss: 1.1679 2022/07/23 23:30:59 - mmengine - INFO - Epoch(train) [63][1180/3757] lr: 1.0000e-03 eta: 1 day, 2:16:51 time: 0.7355 data_time: 0.0267 memory: 17350 grad_norm: 7.0485 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0049 loss: 1.0049 2022/07/23 23:31:11 - mmengine - INFO - Epoch(train) [63][1200/3757] lr: 1.0000e-03 eta: 1 day, 2:16:36 time: 0.6048 data_time: 0.0238 memory: 17350 grad_norm: 6.9386 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0145 loss: 1.0145 2022/07/23 23:31:26 - mmengine - INFO - Epoch(train) [63][1220/3757] lr: 1.0000e-03 eta: 1 day, 2:16:24 time: 0.7099 data_time: 0.0231 memory: 17350 grad_norm: 7.4272 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2203 loss: 1.2203 2022/07/23 23:31:37 - mmengine - INFO - Epoch(train) [63][1240/3757] lr: 1.0000e-03 eta: 1 day, 2:16:09 time: 0.5832 data_time: 0.0243 memory: 17350 grad_norm: 7.3935 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2977 loss: 1.2977 2022/07/23 23:31:51 - mmengine - INFO - Epoch(train) [63][1260/3757] lr: 1.0000e-03 eta: 1 day, 2:15:56 time: 0.7038 data_time: 0.0248 memory: 17350 grad_norm: 7.2706 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1084 loss: 1.1084 2022/07/23 23:32:05 - mmengine - INFO - Epoch(train) [63][1280/3757] lr: 1.0000e-03 eta: 1 day, 2:15:43 time: 0.6716 data_time: 0.0284 memory: 17350 grad_norm: 7.3266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8496 loss: 0.8496 2022/07/23 23:32:18 - mmengine - INFO - Epoch(train) [63][1300/3757] lr: 1.0000e-03 eta: 1 day, 2:15:29 time: 0.6489 data_time: 0.0245 memory: 17350 grad_norm: 7.3238 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1654 loss: 1.1654 2022/07/23 23:32:30 - mmengine - INFO - Epoch(train) [63][1320/3757] lr: 1.0000e-03 eta: 1 day, 2:15:15 time: 0.6156 data_time: 0.0255 memory: 17350 grad_norm: 7.5780 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0605 loss: 1.0605 2022/07/23 23:32:44 - mmengine - INFO - Epoch(train) [63][1340/3757] lr: 1.0000e-03 eta: 1 day, 2:15:02 time: 0.7081 data_time: 0.0372 memory: 17350 grad_norm: 7.3872 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0879 loss: 1.0879 2022/07/23 23:32:58 - mmengine - INFO - Epoch(train) [63][1360/3757] lr: 1.0000e-03 eta: 1 day, 2:14:49 time: 0.6719 data_time: 0.1061 memory: 17350 grad_norm: 7.2539 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3642 loss: 1.3642 2022/07/23 23:33:12 - mmengine - INFO - Epoch(train) [63][1380/3757] lr: 1.0000e-03 eta: 1 day, 2:14:36 time: 0.6841 data_time: 0.0625 memory: 17350 grad_norm: 7.4588 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3039 loss: 1.3039 2022/07/23 23:33:24 - mmengine - INFO - Epoch(train) [63][1400/3757] lr: 1.0000e-03 eta: 1 day, 2:14:22 time: 0.6396 data_time: 0.1155 memory: 17350 grad_norm: 7.6013 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0852 loss: 1.0852 2022/07/23 23:33:39 - mmengine - INFO - Epoch(train) [63][1420/3757] lr: 1.0000e-03 eta: 1 day, 2:14:09 time: 0.7227 data_time: 0.3021 memory: 17350 grad_norm: 7.5735 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0040 loss: 1.0040 2022/07/23 23:33:51 - mmengine - INFO - Epoch(train) [63][1440/3757] lr: 1.0000e-03 eta: 1 day, 2:13:55 time: 0.5859 data_time: 0.1684 memory: 17350 grad_norm: 7.3117 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0174 loss: 1.0174 2022/07/23 23:34:05 - mmengine - INFO - Epoch(train) [63][1460/3757] lr: 1.0000e-03 eta: 1 day, 2:13:42 time: 0.6975 data_time: 0.0491 memory: 17350 grad_norm: 7.4939 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2897 loss: 1.2897 2022/07/23 23:34:17 - mmengine - INFO - Epoch(train) [63][1480/3757] lr: 1.0000e-03 eta: 1 day, 2:13:28 time: 0.6321 data_time: 0.0255 memory: 17350 grad_norm: 7.4200 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2298 loss: 1.2298 2022/07/23 23:34:33 - mmengine - INFO - Epoch(train) [63][1500/3757] lr: 1.0000e-03 eta: 1 day, 2:13:16 time: 0.7794 data_time: 0.0247 memory: 17350 grad_norm: 7.5938 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3942 loss: 1.3942 2022/07/23 23:34:44 - mmengine - INFO - Epoch(train) [63][1520/3757] lr: 1.0000e-03 eta: 1 day, 2:13:02 time: 0.5499 data_time: 0.0236 memory: 17350 grad_norm: 7.2959 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0970 loss: 1.0970 2022/07/23 23:34:57 - mmengine - INFO - Epoch(train) [63][1540/3757] lr: 1.0000e-03 eta: 1 day, 2:12:48 time: 0.6762 data_time: 0.0224 memory: 17350 grad_norm: 7.2380 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1137 loss: 1.1137 2022/07/23 23:35:10 - mmengine - INFO - Epoch(train) [63][1560/3757] lr: 1.0000e-03 eta: 1 day, 2:12:34 time: 0.6220 data_time: 0.0232 memory: 17350 grad_norm: 7.5516 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2302 loss: 1.2302 2022/07/23 23:35:24 - mmengine - INFO - Epoch(train) [63][1580/3757] lr: 1.0000e-03 eta: 1 day, 2:12:21 time: 0.7098 data_time: 0.0305 memory: 17350 grad_norm: 7.4871 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3075 loss: 1.3075 2022/07/23 23:35:36 - mmengine - INFO - Epoch(train) [63][1600/3757] lr: 1.0000e-03 eta: 1 day, 2:12:08 time: 0.6197 data_time: 0.0323 memory: 17350 grad_norm: 7.2306 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0461 loss: 1.0461 2022/07/23 23:35:51 - mmengine - INFO - Epoch(train) [63][1620/3757] lr: 1.0000e-03 eta: 1 day, 2:11:55 time: 0.7118 data_time: 0.1398 memory: 17350 grad_norm: 7.4989 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1435 loss: 1.1435 2022/07/23 23:36:02 - mmengine - INFO - Epoch(train) [63][1640/3757] lr: 1.0000e-03 eta: 1 day, 2:11:40 time: 0.5827 data_time: 0.0767 memory: 17350 grad_norm: 7.1711 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0533 loss: 1.0533 2022/07/23 23:36:17 - mmengine - INFO - Epoch(train) [63][1660/3757] lr: 1.0000e-03 eta: 1 day, 2:11:28 time: 0.7521 data_time: 0.2582 memory: 17350 grad_norm: 7.5258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0921 loss: 1.0921 2022/07/23 23:36:29 - mmengine - INFO - Epoch(train) [63][1680/3757] lr: 1.0000e-03 eta: 1 day, 2:11:14 time: 0.6026 data_time: 0.1712 memory: 17350 grad_norm: 7.4996 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1845 loss: 1.1845 2022/07/23 23:36:44 - mmengine - INFO - Epoch(train) [63][1700/3757] lr: 1.0000e-03 eta: 1 day, 2:11:01 time: 0.7457 data_time: 0.1689 memory: 17350 grad_norm: 7.1801 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2042 loss: 1.2042 2022/07/23 23:36:57 - mmengine - INFO - Epoch(train) [63][1720/3757] lr: 1.0000e-03 eta: 1 day, 2:10:48 time: 0.6401 data_time: 0.0701 memory: 17350 grad_norm: 7.3625 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1335 loss: 1.1335 2022/07/23 23:37:11 - mmengine - INFO - Epoch(train) [63][1740/3757] lr: 1.0000e-03 eta: 1 day, 2:10:34 time: 0.6828 data_time: 0.0254 memory: 17350 grad_norm: 7.4223 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8953 loss: 0.8953 2022/07/23 23:37:24 - mmengine - INFO - Epoch(train) [63][1760/3757] lr: 1.0000e-03 eta: 1 day, 2:10:21 time: 0.6708 data_time: 0.0247 memory: 17350 grad_norm: 7.3698 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2220 loss: 1.2220 2022/07/23 23:37:38 - mmengine - INFO - Epoch(train) [63][1780/3757] lr: 1.0000e-03 eta: 1 day, 2:10:08 time: 0.6687 data_time: 0.0224 memory: 17350 grad_norm: 7.4767 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1771 loss: 1.1771 2022/07/23 23:37:50 - mmengine - INFO - Epoch(train) [63][1800/3757] lr: 1.0000e-03 eta: 1 day, 2:09:54 time: 0.6393 data_time: 0.0225 memory: 17350 grad_norm: 7.3115 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9789 loss: 0.9789 2022/07/23 23:38:04 - mmengine - INFO - Epoch(train) [63][1820/3757] lr: 1.0000e-03 eta: 1 day, 2:09:40 time: 0.6519 data_time: 0.0139 memory: 17350 grad_norm: 7.6953 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4706 loss: 1.4706 2022/07/23 23:38:17 - mmengine - INFO - Epoch(train) [63][1840/3757] lr: 1.0000e-03 eta: 1 day, 2:09:27 time: 0.6920 data_time: 0.0233 memory: 17350 grad_norm: 7.5529 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4145 loss: 1.4145 2022/07/23 23:38:30 - mmengine - INFO - Epoch(train) [63][1860/3757] lr: 1.0000e-03 eta: 1 day, 2:09:14 time: 0.6400 data_time: 0.0248 memory: 17350 grad_norm: 7.1506 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2647 loss: 1.2647 2022/07/23 23:38:44 - mmengine - INFO - Epoch(train) [63][1880/3757] lr: 1.0000e-03 eta: 1 day, 2:09:00 time: 0.6747 data_time: 0.0218 memory: 17350 grad_norm: 7.4507 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1730 loss: 1.1730 2022/07/23 23:38:57 - mmengine - INFO - Epoch(train) [63][1900/3757] lr: 1.0000e-03 eta: 1 day, 2:08:47 time: 0.6736 data_time: 0.0230 memory: 17350 grad_norm: 7.1933 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3448 loss: 1.3448 2022/07/23 23:39:10 - mmengine - INFO - Epoch(train) [63][1920/3757] lr: 1.0000e-03 eta: 1 day, 2:08:34 time: 0.6646 data_time: 0.0229 memory: 17350 grad_norm: 7.2695 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8866 loss: 0.8866 2022/07/23 23:39:24 - mmengine - INFO - Epoch(train) [63][1940/3757] lr: 1.0000e-03 eta: 1 day, 2:08:20 time: 0.6725 data_time: 0.0209 memory: 17350 grad_norm: 7.2287 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1097 loss: 1.1097 2022/07/23 23:39:38 - mmengine - INFO - Epoch(train) [63][1960/3757] lr: 1.0000e-03 eta: 1 day, 2:08:07 time: 0.7015 data_time: 0.0222 memory: 17350 grad_norm: 7.6187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2208 loss: 1.2208 2022/07/23 23:39:50 - mmengine - INFO - Epoch(train) [63][1980/3757] lr: 1.0000e-03 eta: 1 day, 2:07:53 time: 0.6056 data_time: 0.0240 memory: 17350 grad_norm: 7.5063 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4018 loss: 1.4018 2022/07/23 23:40:05 - mmengine - INFO - Epoch(train) [63][2000/3757] lr: 1.0000e-03 eta: 1 day, 2:07:41 time: 0.7196 data_time: 0.0192 memory: 17350 grad_norm: 7.1634 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1712 loss: 1.1712 2022/07/23 23:40:18 - mmengine - INFO - Epoch(train) [63][2020/3757] lr: 1.0000e-03 eta: 1 day, 2:07:27 time: 0.6496 data_time: 0.0234 memory: 17350 grad_norm: 7.4601 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1826 loss: 1.1826 2022/07/23 23:40:31 - mmengine - INFO - Epoch(train) [63][2040/3757] lr: 1.0000e-03 eta: 1 day, 2:07:14 time: 0.6859 data_time: 0.0225 memory: 17350 grad_norm: 7.1756 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2391 loss: 1.2391 2022/07/23 23:40:45 - mmengine - INFO - Epoch(train) [63][2060/3757] lr: 1.0000e-03 eta: 1 day, 2:07:01 time: 0.6756 data_time: 0.0216 memory: 17350 grad_norm: 7.5310 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9123 loss: 0.9123 2022/07/23 23:40:49 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 23:40:58 - mmengine - INFO - Epoch(train) [63][2080/3757] lr: 1.0000e-03 eta: 1 day, 2:06:47 time: 0.6582 data_time: 0.0349 memory: 17350 grad_norm: 7.5508 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3289 loss: 1.3289 2022/07/23 23:41:11 - mmengine - INFO - Epoch(train) [63][2100/3757] lr: 1.0000e-03 eta: 1 day, 2:06:33 time: 0.6292 data_time: 0.0710 memory: 17350 grad_norm: 7.3440 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0537 loss: 1.0537 2022/07/23 23:41:26 - mmengine - INFO - Epoch(train) [63][2120/3757] lr: 1.0000e-03 eta: 1 day, 2:06:21 time: 0.7775 data_time: 0.0398 memory: 17350 grad_norm: 7.6031 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9979 loss: 0.9979 2022/07/23 23:41:37 - mmengine - INFO - Epoch(train) [63][2140/3757] lr: 1.0000e-03 eta: 1 day, 2:06:07 time: 0.5616 data_time: 0.0238 memory: 17350 grad_norm: 7.3155 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0470 loss: 1.0470 2022/07/23 23:41:51 - mmengine - INFO - Epoch(train) [63][2160/3757] lr: 1.0000e-03 eta: 1 day, 2:05:54 time: 0.6952 data_time: 0.0229 memory: 17350 grad_norm: 7.5243 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4325 loss: 1.4325 2022/07/23 23:42:03 - mmengine - INFO - Epoch(train) [63][2180/3757] lr: 1.0000e-03 eta: 1 day, 2:05:39 time: 0.6106 data_time: 0.0219 memory: 17350 grad_norm: 7.3626 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1620 loss: 1.1620 2022/07/23 23:42:19 - mmengine - INFO - Epoch(train) [63][2200/3757] lr: 1.0000e-03 eta: 1 day, 2:05:27 time: 0.7723 data_time: 0.0227 memory: 17350 grad_norm: 7.3805 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0587 loss: 1.0587 2022/07/23 23:42:30 - mmengine - INFO - Epoch(train) [63][2220/3757] lr: 1.0000e-03 eta: 1 day, 2:05:13 time: 0.5690 data_time: 0.0246 memory: 17350 grad_norm: 7.3548 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4777 loss: 1.4777 2022/07/23 23:42:44 - mmengine - INFO - Epoch(train) [63][2240/3757] lr: 1.0000e-03 eta: 1 day, 2:05:00 time: 0.7064 data_time: 0.0222 memory: 17350 grad_norm: 7.5050 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4686 loss: 1.4686 2022/07/23 23:42:57 - mmengine - INFO - Epoch(train) [63][2260/3757] lr: 1.0000e-03 eta: 1 day, 2:04:46 time: 0.6079 data_time: 0.0285 memory: 17350 grad_norm: 7.6373 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5573 loss: 1.5573 2022/07/23 23:43:10 - mmengine - INFO - Epoch(train) [63][2280/3757] lr: 1.0000e-03 eta: 1 day, 2:04:33 time: 0.6773 data_time: 0.0216 memory: 17350 grad_norm: 7.3309 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3561 loss: 1.3561 2022/07/23 23:43:23 - mmengine - INFO - Epoch(train) [63][2300/3757] lr: 1.0000e-03 eta: 1 day, 2:04:19 time: 0.6227 data_time: 0.0461 memory: 17350 grad_norm: 7.6140 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.3939 loss: 1.3939 2022/07/23 23:43:36 - mmengine - INFO - Epoch(train) [63][2320/3757] lr: 1.0000e-03 eta: 1 day, 2:04:05 time: 0.6652 data_time: 0.0964 memory: 17350 grad_norm: 7.5141 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0437 loss: 1.0437 2022/07/23 23:43:50 - mmengine - INFO - Epoch(train) [63][2340/3757] lr: 1.0000e-03 eta: 1 day, 2:03:52 time: 0.6828 data_time: 0.1617 memory: 17350 grad_norm: 7.5964 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1995 loss: 1.1995 2022/07/23 23:44:02 - mmengine - INFO - Epoch(train) [63][2360/3757] lr: 1.0000e-03 eta: 1 day, 2:03:38 time: 0.6331 data_time: 0.1104 memory: 17350 grad_norm: 7.7299 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0665 loss: 1.0665 2022/07/23 23:44:16 - mmengine - INFO - Epoch(train) [63][2380/3757] lr: 1.0000e-03 eta: 1 day, 2:03:25 time: 0.7035 data_time: 0.1055 memory: 17350 grad_norm: 7.7872 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3898 loss: 1.3898 2022/07/23 23:44:29 - mmengine - INFO - Epoch(train) [63][2400/3757] lr: 1.0000e-03 eta: 1 day, 2:03:12 time: 0.6498 data_time: 0.0680 memory: 17350 grad_norm: 7.3564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0758 loss: 1.0758 2022/07/23 23:44:43 - mmengine - INFO - Epoch(train) [63][2420/3757] lr: 1.0000e-03 eta: 1 day, 2:02:58 time: 0.6650 data_time: 0.0988 memory: 17350 grad_norm: 7.5757 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1801 loss: 1.1801 2022/07/23 23:44:56 - mmengine - INFO - Epoch(train) [63][2440/3757] lr: 1.0000e-03 eta: 1 day, 2:02:45 time: 0.6419 data_time: 0.1663 memory: 17350 grad_norm: 7.4528 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2028 loss: 1.2028 2022/07/23 23:45:10 - mmengine - INFO - Epoch(train) [63][2460/3757] lr: 1.0000e-03 eta: 1 day, 2:02:32 time: 0.7101 data_time: 0.1202 memory: 17350 grad_norm: 6.9398 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.1442 loss: 1.1442 2022/07/23 23:45:24 - mmengine - INFO - Epoch(train) [63][2480/3757] lr: 1.0000e-03 eta: 1 day, 2:02:19 time: 0.7052 data_time: 0.0242 memory: 17350 grad_norm: 7.4205 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1860 loss: 1.1860 2022/07/23 23:45:36 - mmengine - INFO - Epoch(train) [63][2500/3757] lr: 1.0000e-03 eta: 1 day, 2:02:05 time: 0.6164 data_time: 0.0227 memory: 17350 grad_norm: 7.6171 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1996 loss: 1.1996 2022/07/23 23:45:51 - mmengine - INFO - Epoch(train) [63][2520/3757] lr: 1.0000e-03 eta: 1 day, 2:01:52 time: 0.7425 data_time: 0.0207 memory: 17350 grad_norm: 7.4587 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0142 loss: 1.0142 2022/07/23 23:46:03 - mmengine - INFO - Epoch(train) [63][2540/3757] lr: 1.0000e-03 eta: 1 day, 2:01:38 time: 0.6088 data_time: 0.0212 memory: 17350 grad_norm: 7.3256 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1069 loss: 1.1069 2022/07/23 23:46:18 - mmengine - INFO - Epoch(train) [63][2560/3757] lr: 1.0000e-03 eta: 1 day, 2:01:26 time: 0.7233 data_time: 0.0287 memory: 17350 grad_norm: 7.4032 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2186 loss: 1.2186 2022/07/23 23:46:30 - mmengine - INFO - Epoch(train) [63][2580/3757] lr: 1.0000e-03 eta: 1 day, 2:01:11 time: 0.5987 data_time: 0.0234 memory: 17350 grad_norm: 7.2551 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9611 loss: 0.9611 2022/07/23 23:46:45 - mmengine - INFO - Epoch(train) [63][2600/3757] lr: 1.0000e-03 eta: 1 day, 2:00:59 time: 0.7356 data_time: 0.0208 memory: 17350 grad_norm: 7.4234 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.0865 loss: 1.0865 2022/07/23 23:46:57 - mmengine - INFO - Epoch(train) [63][2620/3757] lr: 1.0000e-03 eta: 1 day, 2:00:45 time: 0.6251 data_time: 0.0238 memory: 17350 grad_norm: 7.4001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2116 loss: 1.2116 2022/07/23 23:47:12 - mmengine - INFO - Epoch(train) [63][2640/3757] lr: 1.0000e-03 eta: 1 day, 2:00:32 time: 0.7388 data_time: 0.0226 memory: 17350 grad_norm: 7.4293 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2997 loss: 1.2997 2022/07/23 23:47:24 - mmengine - INFO - Epoch(train) [63][2660/3757] lr: 1.0000e-03 eta: 1 day, 2:00:18 time: 0.6082 data_time: 0.0259 memory: 17350 grad_norm: 7.2671 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0944 loss: 1.0944 2022/07/23 23:47:38 - mmengine - INFO - Epoch(train) [63][2680/3757] lr: 1.0000e-03 eta: 1 day, 2:00:05 time: 0.6771 data_time: 0.0220 memory: 17350 grad_norm: 7.3763 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3171 loss: 1.3171 2022/07/23 23:47:52 - mmengine - INFO - Epoch(train) [63][2700/3757] lr: 1.0000e-03 eta: 1 day, 1:59:52 time: 0.7057 data_time: 0.0241 memory: 17350 grad_norm: 7.4702 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3419 loss: 1.3419 2022/07/23 23:48:04 - mmengine - INFO - Epoch(train) [63][2720/3757] lr: 1.0000e-03 eta: 1 day, 1:59:38 time: 0.6342 data_time: 0.0241 memory: 17350 grad_norm: 7.2301 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.0296 loss: 1.0296 2022/07/23 23:48:19 - mmengine - INFO - Epoch(train) [63][2740/3757] lr: 1.0000e-03 eta: 1 day, 1:59:26 time: 0.7122 data_time: 0.0244 memory: 17350 grad_norm: 7.5174 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0919 loss: 1.0919 2022/07/23 23:48:32 - mmengine - INFO - Epoch(train) [63][2760/3757] lr: 1.0000e-03 eta: 1 day, 1:59:12 time: 0.6498 data_time: 0.0228 memory: 17350 grad_norm: 7.3741 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2549 loss: 1.2549 2022/07/23 23:48:45 - mmengine - INFO - Epoch(train) [63][2780/3757] lr: 1.0000e-03 eta: 1 day, 1:58:59 time: 0.6766 data_time: 0.0228 memory: 17350 grad_norm: 7.3457 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1742 loss: 1.1742 2022/07/23 23:48:59 - mmengine - INFO - Epoch(train) [63][2800/3757] lr: 1.0000e-03 eta: 1 day, 1:58:46 time: 0.6904 data_time: 0.0207 memory: 17350 grad_norm: 7.0937 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0468 loss: 1.0468 2022/07/23 23:49:11 - mmengine - INFO - Epoch(train) [63][2820/3757] lr: 1.0000e-03 eta: 1 day, 1:58:31 time: 0.5995 data_time: 0.0270 memory: 17350 grad_norm: 7.2763 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0271 loss: 1.0271 2022/07/23 23:49:26 - mmengine - INFO - Epoch(train) [63][2840/3757] lr: 1.0000e-03 eta: 1 day, 1:58:19 time: 0.7480 data_time: 0.0207 memory: 17350 grad_norm: 7.3576 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0696 loss: 1.0696 2022/07/23 23:49:39 - mmengine - INFO - Epoch(train) [63][2860/3757] lr: 1.0000e-03 eta: 1 day, 1:58:05 time: 0.6387 data_time: 0.0213 memory: 17350 grad_norm: 7.6379 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9677 loss: 0.9677 2022/07/23 23:49:53 - mmengine - INFO - Epoch(train) [63][2880/3757] lr: 1.0000e-03 eta: 1 day, 1:57:52 time: 0.6855 data_time: 0.0220 memory: 17350 grad_norm: 7.0401 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2245 loss: 1.2245 2022/07/23 23:50:05 - mmengine - INFO - Epoch(train) [63][2900/3757] lr: 1.0000e-03 eta: 1 day, 1:57:38 time: 0.6236 data_time: 0.0232 memory: 17350 grad_norm: 7.2829 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0708 loss: 1.0708 2022/07/23 23:50:20 - mmengine - INFO - Epoch(train) [63][2920/3757] lr: 1.0000e-03 eta: 1 day, 1:57:26 time: 0.7473 data_time: 0.0200 memory: 17350 grad_norm: 7.2443 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9708 loss: 0.9708 2022/07/23 23:50:32 - mmengine - INFO - Epoch(train) [63][2940/3757] lr: 1.0000e-03 eta: 1 day, 1:57:11 time: 0.5826 data_time: 0.0256 memory: 17350 grad_norm: 7.3409 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3832 loss: 1.3832 2022/07/23 23:50:47 - mmengine - INFO - Epoch(train) [63][2960/3757] lr: 1.0000e-03 eta: 1 day, 1:56:59 time: 0.7465 data_time: 0.0238 memory: 17350 grad_norm: 7.3939 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1746 loss: 1.1746 2022/07/23 23:50:59 - mmengine - INFO - Epoch(train) [63][2980/3757] lr: 1.0000e-03 eta: 1 day, 1:56:45 time: 0.5961 data_time: 0.0254 memory: 17350 grad_norm: 7.5255 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3978 loss: 1.3978 2022/07/23 23:51:14 - mmengine - INFO - Epoch(train) [63][3000/3757] lr: 1.0000e-03 eta: 1 day, 1:56:33 time: 0.7597 data_time: 0.0234 memory: 17350 grad_norm: 7.4648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4257 loss: 1.4257 2022/07/23 23:51:25 - mmengine - INFO - Epoch(train) [63][3020/3757] lr: 1.0000e-03 eta: 1 day, 1:56:18 time: 0.5536 data_time: 0.0266 memory: 17350 grad_norm: 7.0228 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1400 loss: 1.1400 2022/07/23 23:51:39 - mmengine - INFO - Epoch(train) [63][3040/3757] lr: 1.0000e-03 eta: 1 day, 1:56:05 time: 0.7232 data_time: 0.0237 memory: 17350 grad_norm: 6.9687 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0809 loss: 1.0809 2022/07/23 23:51:51 - mmengine - INFO - Epoch(train) [63][3060/3757] lr: 1.0000e-03 eta: 1 day, 1:55:51 time: 0.5760 data_time: 0.0232 memory: 17350 grad_norm: 7.3301 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2734 loss: 1.2734 2022/07/23 23:51:55 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 23:52:05 - mmengine - INFO - Epoch(train) [63][3080/3757] lr: 1.0000e-03 eta: 1 day, 1:55:38 time: 0.6941 data_time: 0.0215 memory: 17350 grad_norm: 7.6357 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2426 loss: 1.2426 2022/07/23 23:52:17 - mmengine - INFO - Epoch(train) [63][3100/3757] lr: 1.0000e-03 eta: 1 day, 1:55:24 time: 0.6059 data_time: 0.0232 memory: 17350 grad_norm: 7.3962 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9846 loss: 0.9846 2022/07/23 23:52:31 - mmengine - INFO - Epoch(train) [63][3120/3757] lr: 1.0000e-03 eta: 1 day, 1:55:11 time: 0.7135 data_time: 0.0214 memory: 17350 grad_norm: 7.1317 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3017 loss: 1.3017 2022/07/23 23:52:43 - mmengine - INFO - Epoch(train) [63][3140/3757] lr: 1.0000e-03 eta: 1 day, 1:54:56 time: 0.5961 data_time: 0.0239 memory: 17350 grad_norm: 7.6245 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2415 loss: 1.2415 2022/07/23 23:52:58 - mmengine - INFO - Epoch(train) [63][3160/3757] lr: 1.0000e-03 eta: 1 day, 1:54:44 time: 0.7232 data_time: 0.0220 memory: 17350 grad_norm: 7.2134 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2506 loss: 1.2506 2022/07/23 23:53:09 - mmengine - INFO - Epoch(train) [63][3180/3757] lr: 1.0000e-03 eta: 1 day, 1:54:30 time: 0.5946 data_time: 0.0233 memory: 17350 grad_norm: 7.3804 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3286 loss: 1.3286 2022/07/23 23:53:23 - mmengine - INFO - Epoch(train) [63][3200/3757] lr: 1.0000e-03 eta: 1 day, 1:54:17 time: 0.7008 data_time: 0.0241 memory: 17350 grad_norm: 7.6710 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1621 loss: 1.1621 2022/07/23 23:53:36 - mmengine - INFO - Epoch(train) [63][3220/3757] lr: 1.0000e-03 eta: 1 day, 1:54:03 time: 0.6285 data_time: 0.0229 memory: 17350 grad_norm: 7.6301 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4281 loss: 1.4281 2022/07/23 23:53:51 - mmengine - INFO - Epoch(train) [63][3240/3757] lr: 1.0000e-03 eta: 1 day, 1:53:50 time: 0.7314 data_time: 0.0237 memory: 17350 grad_norm: 7.6294 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3488 loss: 1.3488 2022/07/23 23:54:03 - mmengine - INFO - Epoch(train) [63][3260/3757] lr: 1.0000e-03 eta: 1 day, 1:53:36 time: 0.6174 data_time: 0.0237 memory: 17350 grad_norm: 7.3465 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9838 loss: 0.9838 2022/07/23 23:54:17 - mmengine - INFO - Epoch(train) [63][3280/3757] lr: 1.0000e-03 eta: 1 day, 1:53:23 time: 0.6895 data_time: 0.0215 memory: 17350 grad_norm: 7.4827 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1803 loss: 1.1803 2022/07/23 23:54:29 - mmengine - INFO - Epoch(train) [63][3300/3757] lr: 1.0000e-03 eta: 1 day, 1:53:09 time: 0.6256 data_time: 0.0242 memory: 17350 grad_norm: 7.2734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0643 loss: 1.0643 2022/07/23 23:54:44 - mmengine - INFO - Epoch(train) [63][3320/3757] lr: 1.0000e-03 eta: 1 day, 1:52:57 time: 0.7442 data_time: 0.0219 memory: 17350 grad_norm: 7.4536 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1372 loss: 1.1372 2022/07/23 23:54:58 - mmengine - INFO - Epoch(train) [63][3340/3757] lr: 1.0000e-03 eta: 1 day, 1:52:43 time: 0.6615 data_time: 0.0259 memory: 17350 grad_norm: 7.4576 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2745 loss: 1.2745 2022/07/23 23:55:12 - mmengine - INFO - Epoch(train) [63][3360/3757] lr: 1.0000e-03 eta: 1 day, 1:52:31 time: 0.7227 data_time: 0.0235 memory: 17350 grad_norm: 7.5761 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4092 loss: 1.4092 2022/07/23 23:55:25 - mmengine - INFO - Epoch(train) [63][3380/3757] lr: 1.0000e-03 eta: 1 day, 1:52:17 time: 0.6270 data_time: 0.0227 memory: 17350 grad_norm: 7.2449 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2177 loss: 1.2177 2022/07/23 23:55:39 - mmengine - INFO - Epoch(train) [63][3400/3757] lr: 1.0000e-03 eta: 1 day, 1:52:04 time: 0.7073 data_time: 0.0218 memory: 17350 grad_norm: 7.3054 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2780 loss: 1.2780 2022/07/23 23:55:51 - mmengine - INFO - Epoch(train) [63][3420/3757] lr: 1.0000e-03 eta: 1 day, 1:51:50 time: 0.6053 data_time: 0.0260 memory: 17350 grad_norm: 7.4653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4207 loss: 1.4207 2022/07/23 23:56:05 - mmengine - INFO - Epoch(train) [63][3440/3757] lr: 1.0000e-03 eta: 1 day, 1:51:37 time: 0.7262 data_time: 0.0217 memory: 17350 grad_norm: 7.2686 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1422 loss: 1.1422 2022/07/23 23:56:18 - mmengine - INFO - Epoch(train) [63][3460/3757] lr: 1.0000e-03 eta: 1 day, 1:51:23 time: 0.6128 data_time: 0.0245 memory: 17350 grad_norm: 7.2265 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2345 loss: 1.2345 2022/07/23 23:56:32 - mmengine - INFO - Epoch(train) [63][3480/3757] lr: 1.0000e-03 eta: 1 day, 1:51:10 time: 0.7267 data_time: 0.0224 memory: 17350 grad_norm: 7.7356 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3982 loss: 1.3982 2022/07/23 23:56:44 - mmengine - INFO - Epoch(train) [63][3500/3757] lr: 1.0000e-03 eta: 1 day, 1:50:56 time: 0.6127 data_time: 0.0213 memory: 17350 grad_norm: 7.3747 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1895 loss: 1.1895 2022/07/23 23:56:59 - mmengine - INFO - Epoch(train) [63][3520/3757] lr: 1.0000e-03 eta: 1 day, 1:50:43 time: 0.7114 data_time: 0.0210 memory: 17350 grad_norm: 7.3711 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1635 loss: 1.1635 2022/07/23 23:57:11 - mmengine - INFO - Epoch(train) [63][3540/3757] lr: 1.0000e-03 eta: 1 day, 1:50:29 time: 0.6137 data_time: 0.0247 memory: 17350 grad_norm: 7.0678 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0293 loss: 1.0293 2022/07/23 23:57:25 - mmengine - INFO - Epoch(train) [63][3560/3757] lr: 1.0000e-03 eta: 1 day, 1:50:16 time: 0.7017 data_time: 0.0223 memory: 17350 grad_norm: 7.1151 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8403 loss: 0.8403 2022/07/23 23:57:37 - mmengine - INFO - Epoch(train) [63][3580/3757] lr: 1.0000e-03 eta: 1 day, 1:50:02 time: 0.6166 data_time: 0.0230 memory: 17350 grad_norm: 7.3208 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2416 loss: 1.2416 2022/07/23 23:57:50 - mmengine - INFO - Epoch(train) [63][3600/3757] lr: 1.0000e-03 eta: 1 day, 1:49:49 time: 0.6467 data_time: 0.0218 memory: 17350 grad_norm: 7.4234 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1187 loss: 1.1187 2022/07/23 23:58:04 - mmengine - INFO - Epoch(train) [63][3620/3757] lr: 1.0000e-03 eta: 1 day, 1:49:36 time: 0.6929 data_time: 0.0194 memory: 17350 grad_norm: 7.1642 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3571 loss: 1.3571 2022/07/23 23:58:17 - mmengine - INFO - Epoch(train) [63][3640/3757] lr: 1.0000e-03 eta: 1 day, 1:49:22 time: 0.6199 data_time: 0.0234 memory: 17350 grad_norm: 7.4473 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2466 loss: 1.2466 2022/07/23 23:58:32 - mmengine - INFO - Epoch(train) [63][3660/3757] lr: 1.0000e-03 eta: 1 day, 1:49:09 time: 0.7429 data_time: 0.0237 memory: 17350 grad_norm: 7.4161 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2327 loss: 1.2327 2022/07/23 23:58:44 - mmengine - INFO - Epoch(train) [63][3680/3757] lr: 1.0000e-03 eta: 1 day, 1:48:55 time: 0.6036 data_time: 0.0222 memory: 17350 grad_norm: 7.6090 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5904 loss: 1.5904 2022/07/23 23:58:58 - mmengine - INFO - Epoch(train) [63][3700/3757] lr: 1.0000e-03 eta: 1 day, 1:48:42 time: 0.7154 data_time: 0.0248 memory: 17350 grad_norm: 7.3019 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1983 loss: 1.1983 2022/07/23 23:59:10 - mmengine - INFO - Epoch(train) [63][3720/3757] lr: 1.0000e-03 eta: 1 day, 1:48:28 time: 0.6042 data_time: 0.0236 memory: 17350 grad_norm: 7.5084 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3525 loss: 1.3525 2022/07/23 23:59:24 - mmengine - INFO - Epoch(train) [63][3740/3757] lr: 1.0000e-03 eta: 1 day, 1:48:15 time: 0.6825 data_time: 0.0233 memory: 17350 grad_norm: 7.5311 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2785 loss: 1.2785 2022/07/23 23:59:32 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/23 23:59:32 - mmengine - INFO - Epoch(train) [63][3757/3757] lr: 1.0000e-03 eta: 1 day, 1:48:15 time: 0.4854 data_time: 0.0228 memory: 17350 grad_norm: 7.4554 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.3272 loss: 1.3272 2022/07/23 23:59:49 - mmengine - INFO - Epoch(val) [63][20/310] eta: 0:04:03 time: 0.8411 data_time: 0.7248 memory: 3406 2022/07/24 00:00:01 - mmengine - INFO - Epoch(val) [63][40/310] eta: 0:02:35 time: 0.5742 data_time: 0.4605 memory: 3406 2022/07/24 00:00:16 - mmengine - INFO - Epoch(val) [63][60/310] eta: 0:03:13 time: 0.7758 data_time: 0.6488 memory: 3406 2022/07/24 00:00:28 - mmengine - INFO - Epoch(val) [63][80/310] eta: 0:02:12 time: 0.5747 data_time: 0.4617 memory: 3406 2022/07/24 00:00:42 - mmengine - INFO - Epoch(val) [63][100/310] eta: 0:02:33 time: 0.7323 data_time: 0.6178 memory: 3406 2022/07/24 00:00:54 - mmengine - INFO - Epoch(val) [63][120/310] eta: 0:01:46 time: 0.5589 data_time: 0.4449 memory: 3406 2022/07/24 00:01:10 - mmengine - INFO - Epoch(val) [63][140/310] eta: 0:02:16 time: 0.8049 data_time: 0.6850 memory: 3406 2022/07/24 00:01:20 - mmengine - INFO - Epoch(val) [63][160/310] eta: 0:01:18 time: 0.5205 data_time: 0.4045 memory: 3406 2022/07/24 00:01:36 - mmengine - INFO - Epoch(val) [63][180/310] eta: 0:01:42 time: 0.7871 data_time: 0.6724 memory: 3406 2022/07/24 00:01:47 - mmengine - INFO - Epoch(val) [63][200/310] eta: 0:01:02 time: 0.5675 data_time: 0.4532 memory: 3406 2022/07/24 00:02:02 - mmengine - INFO - Epoch(val) [63][220/310] eta: 0:01:07 time: 0.7545 data_time: 0.6395 memory: 3406 2022/07/24 00:02:14 - mmengine - INFO - Epoch(val) [63][240/310] eta: 0:00:40 time: 0.5760 data_time: 0.4633 memory: 3406 2022/07/24 00:02:29 - mmengine - INFO - Epoch(val) [63][260/310] eta: 0:00:37 time: 0.7484 data_time: 0.6362 memory: 3406 2022/07/24 00:02:40 - mmengine - INFO - Epoch(val) [63][280/310] eta: 0:00:16 time: 0.5452 data_time: 0.4291 memory: 3406 2022/07/24 00:02:54 - mmengine - INFO - Epoch(val) [63][300/310] eta: 0:00:07 time: 0.7239 data_time: 0.6089 memory: 3406 2022/07/24 00:02:59 - mmengine - INFO - Epoch(val) [63][310/310] acc/top1: 0.6760 acc/top5: 0.8722 acc/mean1: 0.6759 2022/07/24 00:03:17 - mmengine - INFO - Epoch(train) [64][20/3757] lr: 1.0000e-03 eta: 1 day, 1:47:46 time: 0.8894 data_time: 0.3842 memory: 17350 grad_norm: 7.4669 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4329 loss: 1.4329 2022/07/24 00:03:30 - mmengine - INFO - Epoch(train) [64][40/3757] lr: 1.0000e-03 eta: 1 day, 1:47:33 time: 0.6495 data_time: 0.1795 memory: 17350 grad_norm: 7.2514 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0933 loss: 1.0933 2022/07/24 00:03:44 - mmengine - INFO - Epoch(train) [64][60/3757] lr: 1.0000e-03 eta: 1 day, 1:47:20 time: 0.7096 data_time: 0.1173 memory: 17350 grad_norm: 6.9249 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9176 loss: 0.9176 2022/07/24 00:03:55 - mmengine - INFO - Epoch(train) [64][80/3757] lr: 1.0000e-03 eta: 1 day, 1:47:05 time: 0.5711 data_time: 0.1946 memory: 17350 grad_norm: 7.3561 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1837 loss: 1.1837 2022/07/24 00:04:11 - mmengine - INFO - Epoch(train) [64][100/3757] lr: 1.0000e-03 eta: 1 day, 1:46:53 time: 0.7689 data_time: 0.3581 memory: 17350 grad_norm: 7.5058 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3406 loss: 1.3406 2022/07/24 00:04:22 - mmengine - INFO - Epoch(train) [64][120/3757] lr: 1.0000e-03 eta: 1 day, 1:46:39 time: 0.5789 data_time: 0.2176 memory: 17350 grad_norm: 7.4169 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3688 loss: 1.3688 2022/07/24 00:04:38 - mmengine - INFO - Epoch(train) [64][140/3757] lr: 1.0000e-03 eta: 1 day, 1:46:27 time: 0.7690 data_time: 0.3382 memory: 17350 grad_norm: 7.4730 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2818 loss: 1.2818 2022/07/24 00:04:50 - mmengine - INFO - Epoch(train) [64][160/3757] lr: 1.0000e-03 eta: 1 day, 1:46:13 time: 0.6136 data_time: 0.2710 memory: 17350 grad_norm: 7.1763 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2773 loss: 1.2773 2022/07/24 00:05:05 - mmengine - INFO - Epoch(train) [64][180/3757] lr: 1.0000e-03 eta: 1 day, 1:46:00 time: 0.7671 data_time: 0.3993 memory: 17350 grad_norm: 7.3253 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3495 loss: 1.3495 2022/07/24 00:05:17 - mmengine - INFO - Epoch(train) [64][200/3757] lr: 1.0000e-03 eta: 1 day, 1:45:46 time: 0.5927 data_time: 0.2395 memory: 17350 grad_norm: 7.8649 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2011 loss: 1.2011 2022/07/24 00:05:31 - mmengine - INFO - Epoch(train) [64][220/3757] lr: 1.0000e-03 eta: 1 day, 1:45:33 time: 0.7174 data_time: 0.3470 memory: 17350 grad_norm: 7.4570 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0379 loss: 1.0379 2022/07/24 00:05:43 - mmengine - INFO - Epoch(train) [64][240/3757] lr: 1.0000e-03 eta: 1 day, 1:45:19 time: 0.5842 data_time: 0.2196 memory: 17350 grad_norm: 7.3106 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2644 loss: 1.2644 2022/07/24 00:05:58 - mmengine - INFO - Epoch(train) [64][260/3757] lr: 1.0000e-03 eta: 1 day, 1:45:06 time: 0.7297 data_time: 0.3088 memory: 17350 grad_norm: 7.3682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0591 loss: 1.0591 2022/07/24 00:06:11 - mmengine - INFO - Epoch(train) [64][280/3757] lr: 1.0000e-03 eta: 1 day, 1:44:53 time: 0.6422 data_time: 0.3094 memory: 17350 grad_norm: 7.1076 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2102 loss: 1.2102 2022/07/24 00:06:25 - mmengine - INFO - Epoch(train) [64][300/3757] lr: 1.0000e-03 eta: 1 day, 1:44:40 time: 0.6945 data_time: 0.3577 memory: 17350 grad_norm: 7.1334 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9593 loss: 0.9593 2022/07/24 00:06:31 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 00:06:37 - mmengine - INFO - Epoch(train) [64][320/3757] lr: 1.0000e-03 eta: 1 day, 1:44:26 time: 0.6115 data_time: 0.2726 memory: 17350 grad_norm: 7.4669 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0858 loss: 1.0858 2022/07/24 00:06:52 - mmengine - INFO - Epoch(train) [64][340/3757] lr: 1.0000e-03 eta: 1 day, 1:44:13 time: 0.7617 data_time: 0.4229 memory: 17350 grad_norm: 7.2787 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0748 loss: 1.0748 2022/07/24 00:07:04 - mmengine - INFO - Epoch(train) [64][360/3757] lr: 1.0000e-03 eta: 1 day, 1:43:59 time: 0.5880 data_time: 0.2532 memory: 17350 grad_norm: 7.2432 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3884 loss: 1.3884 2022/07/24 00:07:19 - mmengine - INFO - Epoch(train) [64][380/3757] lr: 1.0000e-03 eta: 1 day, 1:43:46 time: 0.7365 data_time: 0.4002 memory: 17350 grad_norm: 7.4915 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2672 loss: 1.2672 2022/07/24 00:07:31 - mmengine - INFO - Epoch(train) [64][400/3757] lr: 1.0000e-03 eta: 1 day, 1:43:33 time: 0.6400 data_time: 0.2968 memory: 17350 grad_norm: 7.5526 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2123 loss: 1.2123 2022/07/24 00:07:45 - mmengine - INFO - Epoch(train) [64][420/3757] lr: 1.0000e-03 eta: 1 day, 1:43:20 time: 0.7019 data_time: 0.3667 memory: 17350 grad_norm: 7.4760 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1255 loss: 1.1255 2022/07/24 00:07:58 - mmengine - INFO - Epoch(train) [64][440/3757] lr: 1.0000e-03 eta: 1 day, 1:43:06 time: 0.6077 data_time: 0.2713 memory: 17350 grad_norm: 7.5422 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8785 loss: 0.8785 2022/07/24 00:08:12 - mmengine - INFO - Epoch(train) [64][460/3757] lr: 1.0000e-03 eta: 1 day, 1:42:53 time: 0.7005 data_time: 0.3624 memory: 17350 grad_norm: 7.2156 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1595 loss: 1.1595 2022/07/24 00:08:24 - mmengine - INFO - Epoch(train) [64][480/3757] lr: 1.0000e-03 eta: 1 day, 1:42:39 time: 0.6116 data_time: 0.2769 memory: 17350 grad_norm: 7.8320 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2769 loss: 1.2769 2022/07/24 00:08:39 - mmengine - INFO - Epoch(train) [64][500/3757] lr: 1.0000e-03 eta: 1 day, 1:42:26 time: 0.7381 data_time: 0.4010 memory: 17350 grad_norm: 7.4931 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2605 loss: 1.2605 2022/07/24 00:08:52 - mmengine - INFO - Epoch(train) [64][520/3757] lr: 1.0000e-03 eta: 1 day, 1:42:13 time: 0.6675 data_time: 0.3303 memory: 17350 grad_norm: 7.4554 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2134 loss: 1.2134 2022/07/24 00:09:06 - mmengine - INFO - Epoch(train) [64][540/3757] lr: 1.0000e-03 eta: 1 day, 1:42:00 time: 0.6811 data_time: 0.3447 memory: 17350 grad_norm: 7.4069 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0499 loss: 1.0499 2022/07/24 00:09:17 - mmengine - INFO - Epoch(train) [64][560/3757] lr: 1.0000e-03 eta: 1 day, 1:41:45 time: 0.5687 data_time: 0.2292 memory: 17350 grad_norm: 7.3588 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3874 loss: 1.3874 2022/07/24 00:09:31 - mmengine - INFO - Epoch(train) [64][580/3757] lr: 1.0000e-03 eta: 1 day, 1:41:32 time: 0.7013 data_time: 0.3631 memory: 17350 grad_norm: 7.4636 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0392 loss: 1.0392 2022/07/24 00:09:43 - mmengine - INFO - Epoch(train) [64][600/3757] lr: 1.0000e-03 eta: 1 day, 1:41:18 time: 0.5846 data_time: 0.2410 memory: 17350 grad_norm: 7.4019 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0770 loss: 1.0770 2022/07/24 00:09:58 - mmengine - INFO - Epoch(train) [64][620/3757] lr: 1.0000e-03 eta: 1 day, 1:41:05 time: 0.7583 data_time: 0.3073 memory: 17350 grad_norm: 7.3602 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8853 loss: 0.8853 2022/07/24 00:10:10 - mmengine - INFO - Epoch(train) [64][640/3757] lr: 1.0000e-03 eta: 1 day, 1:40:51 time: 0.6071 data_time: 0.1603 memory: 17350 grad_norm: 7.4279 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2385 loss: 1.2385 2022/07/24 00:10:25 - mmengine - INFO - Epoch(train) [64][660/3757] lr: 1.0000e-03 eta: 1 day, 1:40:39 time: 0.7523 data_time: 0.2543 memory: 17350 grad_norm: 7.1772 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0604 loss: 1.0604 2022/07/24 00:10:37 - mmengine - INFO - Epoch(train) [64][680/3757] lr: 1.0000e-03 eta: 1 day, 1:40:25 time: 0.6090 data_time: 0.1500 memory: 17350 grad_norm: 7.2960 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0808 loss: 1.0808 2022/07/24 00:10:52 - mmengine - INFO - Epoch(train) [64][700/3757] lr: 1.0000e-03 eta: 1 day, 1:40:12 time: 0.7165 data_time: 0.2631 memory: 17350 grad_norm: 7.3227 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2169 loss: 1.2169 2022/07/24 00:11:03 - mmengine - INFO - Epoch(train) [64][720/3757] lr: 1.0000e-03 eta: 1 day, 1:39:58 time: 0.5684 data_time: 0.2247 memory: 17350 grad_norm: 7.7419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1278 loss: 1.1278 2022/07/24 00:11:18 - mmengine - INFO - Epoch(train) [64][740/3757] lr: 1.0000e-03 eta: 1 day, 1:39:45 time: 0.7285 data_time: 0.2588 memory: 17350 grad_norm: 7.5336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3278 loss: 1.3278 2022/07/24 00:11:30 - mmengine - INFO - Epoch(train) [64][760/3757] lr: 1.0000e-03 eta: 1 day, 1:39:31 time: 0.6304 data_time: 0.0976 memory: 17350 grad_norm: 7.1284 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1762 loss: 1.1762 2022/07/24 00:11:45 - mmengine - INFO - Epoch(train) [64][780/3757] lr: 1.0000e-03 eta: 1 day, 1:39:18 time: 0.7249 data_time: 0.0916 memory: 17350 grad_norm: 7.2926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1120 loss: 1.1120 2022/07/24 00:11:58 - mmengine - INFO - Epoch(train) [64][800/3757] lr: 1.0000e-03 eta: 1 day, 1:39:05 time: 0.6441 data_time: 0.0367 memory: 17350 grad_norm: 7.2813 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2700 loss: 1.2700 2022/07/24 00:12:12 - mmengine - INFO - Epoch(train) [64][820/3757] lr: 1.0000e-03 eta: 1 day, 1:38:52 time: 0.7056 data_time: 0.1517 memory: 17350 grad_norm: 7.4727 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0057 loss: 1.0057 2022/07/24 00:12:24 - mmengine - INFO - Epoch(train) [64][840/3757] lr: 1.0000e-03 eta: 1 day, 1:38:38 time: 0.5877 data_time: 0.1232 memory: 17350 grad_norm: 7.3928 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0265 loss: 1.0265 2022/07/24 00:12:39 - mmengine - INFO - Epoch(train) [64][860/3757] lr: 1.0000e-03 eta: 1 day, 1:38:25 time: 0.7757 data_time: 0.0359 memory: 17350 grad_norm: 7.4719 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1366 loss: 1.1366 2022/07/24 00:12:51 - mmengine - INFO - Epoch(train) [64][880/3757] lr: 1.0000e-03 eta: 1 day, 1:38:11 time: 0.6138 data_time: 0.1836 memory: 17350 grad_norm: 7.2928 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2918 loss: 1.2918 2022/07/24 00:13:06 - mmengine - INFO - Epoch(train) [64][900/3757] lr: 1.0000e-03 eta: 1 day, 1:37:59 time: 0.7356 data_time: 0.2993 memory: 17350 grad_norm: 6.9856 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1829 loss: 1.1829 2022/07/24 00:13:19 - mmengine - INFO - Epoch(train) [64][920/3757] lr: 1.0000e-03 eta: 1 day, 1:37:45 time: 0.6258 data_time: 0.1480 memory: 17350 grad_norm: 7.1902 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1476 loss: 1.1476 2022/07/24 00:13:33 - mmengine - INFO - Epoch(train) [64][940/3757] lr: 1.0000e-03 eta: 1 day, 1:37:32 time: 0.7246 data_time: 0.2043 memory: 17350 grad_norm: 7.1746 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1692 loss: 1.1692 2022/07/24 00:13:45 - mmengine - INFO - Epoch(train) [64][960/3757] lr: 1.0000e-03 eta: 1 day, 1:37:18 time: 0.5675 data_time: 0.1952 memory: 17350 grad_norm: 7.4848 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2340 loss: 1.2340 2022/07/24 00:13:59 - mmengine - INFO - Epoch(train) [64][980/3757] lr: 1.0000e-03 eta: 1 day, 1:37:05 time: 0.7272 data_time: 0.2839 memory: 17350 grad_norm: 7.5062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1467 loss: 1.1467 2022/07/24 00:14:10 - mmengine - INFO - Epoch(train) [64][1000/3757] lr: 1.0000e-03 eta: 1 day, 1:36:50 time: 0.5527 data_time: 0.0743 memory: 17350 grad_norm: 7.8138 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4767 loss: 1.4767 2022/07/24 00:14:25 - mmengine - INFO - Epoch(train) [64][1020/3757] lr: 1.0000e-03 eta: 1 day, 1:36:38 time: 0.7352 data_time: 0.0238 memory: 17350 grad_norm: 7.2787 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1718 loss: 1.1718 2022/07/24 00:14:37 - mmengine - INFO - Epoch(train) [64][1040/3757] lr: 1.0000e-03 eta: 1 day, 1:36:24 time: 0.6074 data_time: 0.0223 memory: 17350 grad_norm: 7.7369 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1307 loss: 1.1307 2022/07/24 00:14:51 - mmengine - INFO - Epoch(train) [64][1060/3757] lr: 1.0000e-03 eta: 1 day, 1:36:11 time: 0.6828 data_time: 0.0214 memory: 17350 grad_norm: 7.0114 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9805 loss: 0.9805 2022/07/24 00:15:04 - mmengine - INFO - Epoch(train) [64][1080/3757] lr: 1.0000e-03 eta: 1 day, 1:35:57 time: 0.6566 data_time: 0.0223 memory: 17350 grad_norm: 7.4097 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2436 loss: 1.2436 2022/07/24 00:15:17 - mmengine - INFO - Epoch(train) [64][1100/3757] lr: 1.0000e-03 eta: 1 day, 1:35:44 time: 0.6782 data_time: 0.0232 memory: 17350 grad_norm: 7.7457 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1449 loss: 1.1449 2022/07/24 00:15:30 - mmengine - INFO - Epoch(train) [64][1120/3757] lr: 1.0000e-03 eta: 1 day, 1:35:30 time: 0.6372 data_time: 0.0212 memory: 17350 grad_norm: 7.2607 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9608 loss: 0.9608 2022/07/24 00:15:44 - mmengine - INFO - Epoch(train) [64][1140/3757] lr: 1.0000e-03 eta: 1 day, 1:35:17 time: 0.6869 data_time: 0.0227 memory: 17350 grad_norm: 7.5470 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0300 loss: 1.0300 2022/07/24 00:15:57 - mmengine - INFO - Epoch(train) [64][1160/3757] lr: 1.0000e-03 eta: 1 day, 1:35:03 time: 0.6594 data_time: 0.0231 memory: 17350 grad_norm: 7.1913 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1984 loss: 1.1984 2022/07/24 00:16:12 - mmengine - INFO - Epoch(train) [64][1180/3757] lr: 1.0000e-03 eta: 1 day, 1:34:51 time: 0.7228 data_time: 0.0232 memory: 17350 grad_norm: 7.3072 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3952 loss: 1.3952 2022/07/24 00:16:24 - mmengine - INFO - Epoch(train) [64][1200/3757] lr: 1.0000e-03 eta: 1 day, 1:34:37 time: 0.6109 data_time: 0.0235 memory: 17350 grad_norm: 7.5615 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3084 loss: 1.3084 2022/07/24 00:16:38 - mmengine - INFO - Epoch(train) [64][1220/3757] lr: 1.0000e-03 eta: 1 day, 1:34:24 time: 0.7235 data_time: 0.0224 memory: 17350 grad_norm: 7.4046 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.0574 loss: 1.0574 2022/07/24 00:16:51 - mmengine - INFO - Epoch(train) [64][1240/3757] lr: 1.0000e-03 eta: 1 day, 1:34:10 time: 0.6233 data_time: 0.0227 memory: 17350 grad_norm: 7.4392 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1106 loss: 1.1106 2022/07/24 00:17:05 - mmengine - INFO - Epoch(train) [64][1260/3757] lr: 1.0000e-03 eta: 1 day, 1:33:57 time: 0.7208 data_time: 0.0221 memory: 17350 grad_norm: 7.5072 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2944 loss: 1.2944 2022/07/24 00:17:18 - mmengine - INFO - Epoch(train) [64][1280/3757] lr: 1.0000e-03 eta: 1 day, 1:33:44 time: 0.6247 data_time: 0.0314 memory: 17350 grad_norm: 7.4251 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0503 loss: 1.0503 2022/07/24 00:17:32 - mmengine - INFO - Epoch(train) [64][1300/3757] lr: 1.0000e-03 eta: 1 day, 1:33:31 time: 0.7159 data_time: 0.0224 memory: 17350 grad_norm: 7.4737 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0530 loss: 1.0530 2022/07/24 00:17:38 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 00:17:44 - mmengine - INFO - Epoch(train) [64][1320/3757] lr: 1.0000e-03 eta: 1 day, 1:33:16 time: 0.5874 data_time: 0.0243 memory: 17350 grad_norm: 7.6473 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1599 loss: 1.1599 2022/07/24 00:17:58 - mmengine - INFO - Epoch(train) [64][1340/3757] lr: 1.0000e-03 eta: 1 day, 1:33:03 time: 0.6887 data_time: 0.0212 memory: 17350 grad_norm: 7.0888 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1483 loss: 1.1483 2022/07/24 00:18:10 - mmengine - INFO - Epoch(train) [64][1360/3757] lr: 1.0000e-03 eta: 1 day, 1:32:49 time: 0.6064 data_time: 0.0579 memory: 17350 grad_norm: 7.5634 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1015 loss: 1.1015 2022/07/24 00:18:24 - mmengine - INFO - Epoch(train) [64][1380/3757] lr: 1.0000e-03 eta: 1 day, 1:32:37 time: 0.7269 data_time: 0.0696 memory: 17350 grad_norm: 7.3051 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1629 loss: 1.1629 2022/07/24 00:18:36 - mmengine - INFO - Epoch(train) [64][1400/3757] lr: 1.0000e-03 eta: 1 day, 1:32:22 time: 0.5970 data_time: 0.0303 memory: 17350 grad_norm: 7.4075 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9944 loss: 0.9944 2022/07/24 00:18:51 - mmengine - INFO - Epoch(train) [64][1420/3757] lr: 1.0000e-03 eta: 1 day, 1:32:10 time: 0.7462 data_time: 0.0231 memory: 17350 grad_norm: 7.5065 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0622 loss: 1.0622 2022/07/24 00:19:04 - mmengine - INFO - Epoch(train) [64][1440/3757] lr: 1.0000e-03 eta: 1 day, 1:31:56 time: 0.6214 data_time: 0.0235 memory: 17350 grad_norm: 7.6014 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8682 loss: 0.8682 2022/07/24 00:19:18 - mmengine - INFO - Epoch(train) [64][1460/3757] lr: 1.0000e-03 eta: 1 day, 1:31:43 time: 0.7235 data_time: 0.0218 memory: 17350 grad_norm: 7.3424 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3554 loss: 1.3554 2022/07/24 00:19:30 - mmengine - INFO - Epoch(train) [64][1480/3757] lr: 1.0000e-03 eta: 1 day, 1:31:29 time: 0.6024 data_time: 0.0239 memory: 17350 grad_norm: 7.3041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9862 loss: 0.9862 2022/07/24 00:19:44 - mmengine - INFO - Epoch(train) [64][1500/3757] lr: 1.0000e-03 eta: 1 day, 1:31:16 time: 0.6688 data_time: 0.0213 memory: 17350 grad_norm: 7.4046 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1199 loss: 1.1199 2022/07/24 00:19:57 - mmengine - INFO - Epoch(train) [64][1520/3757] lr: 1.0000e-03 eta: 1 day, 1:31:02 time: 0.6456 data_time: 0.0260 memory: 17350 grad_norm: 7.8126 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1350 loss: 1.1350 2022/07/24 00:20:11 - mmengine - INFO - Epoch(train) [64][1540/3757] lr: 1.0000e-03 eta: 1 day, 1:30:50 time: 0.7364 data_time: 0.0242 memory: 17350 grad_norm: 7.3381 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0603 loss: 1.0603 2022/07/24 00:20:23 - mmengine - INFO - Epoch(train) [64][1560/3757] lr: 1.0000e-03 eta: 1 day, 1:30:35 time: 0.6057 data_time: 0.0238 memory: 17350 grad_norm: 7.1591 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1584 loss: 1.1584 2022/07/24 00:20:38 - mmengine - INFO - Epoch(train) [64][1580/3757] lr: 1.0000e-03 eta: 1 day, 1:30:23 time: 0.7227 data_time: 0.0219 memory: 17350 grad_norm: 7.4607 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1005 loss: 1.1005 2022/07/24 00:20:50 - mmengine - INFO - Epoch(train) [64][1600/3757] lr: 1.0000e-03 eta: 1 day, 1:30:09 time: 0.6273 data_time: 0.0229 memory: 17350 grad_norm: 7.4192 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9589 loss: 0.9589 2022/07/24 00:21:04 - mmengine - INFO - Epoch(train) [64][1620/3757] lr: 1.0000e-03 eta: 1 day, 1:29:56 time: 0.7026 data_time: 0.0665 memory: 17350 grad_norm: 7.7677 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9920 loss: 0.9920 2022/07/24 00:21:18 - mmengine - INFO - Epoch(train) [64][1640/3757] lr: 1.0000e-03 eta: 1 day, 1:29:43 time: 0.6871 data_time: 0.0344 memory: 17350 grad_norm: 7.4308 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1979 loss: 1.1979 2022/07/24 00:21:30 - mmengine - INFO - Epoch(train) [64][1660/3757] lr: 1.0000e-03 eta: 1 day, 1:29:29 time: 0.6128 data_time: 0.0584 memory: 17350 grad_norm: 7.6548 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2439 loss: 1.2439 2022/07/24 00:21:45 - mmengine - INFO - Epoch(train) [64][1680/3757] lr: 1.0000e-03 eta: 1 day, 1:29:16 time: 0.7245 data_time: 0.0263 memory: 17350 grad_norm: 7.6170 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1606 loss: 1.1606 2022/07/24 00:21:57 - mmengine - INFO - Epoch(train) [64][1700/3757] lr: 1.0000e-03 eta: 1 day, 1:29:02 time: 0.5855 data_time: 0.0215 memory: 17350 grad_norm: 7.6887 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1560 loss: 1.1560 2022/07/24 00:22:11 - mmengine - INFO - Epoch(train) [64][1720/3757] lr: 1.0000e-03 eta: 1 day, 1:28:49 time: 0.7210 data_time: 0.0220 memory: 17350 grad_norm: 7.6342 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4559 loss: 1.4559 2022/07/24 00:22:23 - mmengine - INFO - Epoch(train) [64][1740/3757] lr: 1.0000e-03 eta: 1 day, 1:28:35 time: 0.5969 data_time: 0.0227 memory: 17350 grad_norm: 7.1296 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2367 loss: 1.2367 2022/07/24 00:22:37 - mmengine - INFO - Epoch(train) [64][1760/3757] lr: 1.0000e-03 eta: 1 day, 1:28:22 time: 0.6956 data_time: 0.0229 memory: 17350 grad_norm: 7.5736 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2197 loss: 1.2197 2022/07/24 00:22:50 - mmengine - INFO - Epoch(train) [64][1780/3757] lr: 1.0000e-03 eta: 1 day, 1:28:08 time: 0.6627 data_time: 0.0222 memory: 17350 grad_norm: 7.5790 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2932 loss: 1.2932 2022/07/24 00:23:03 - mmengine - INFO - Epoch(train) [64][1800/3757] lr: 1.0000e-03 eta: 1 day, 1:27:55 time: 0.6429 data_time: 0.0226 memory: 17350 grad_norm: 7.6124 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2152 loss: 1.2152 2022/07/24 00:23:16 - mmengine - INFO - Epoch(train) [64][1820/3757] lr: 1.0000e-03 eta: 1 day, 1:27:41 time: 0.6506 data_time: 0.0228 memory: 17350 grad_norm: 7.6631 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4541 loss: 1.4541 2022/07/24 00:23:30 - mmengine - INFO - Epoch(train) [64][1840/3757] lr: 1.0000e-03 eta: 1 day, 1:27:28 time: 0.6765 data_time: 0.0215 memory: 17350 grad_norm: 7.8909 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0641 loss: 1.0641 2022/07/24 00:23:43 - mmengine - INFO - Epoch(train) [64][1860/3757] lr: 1.0000e-03 eta: 1 day, 1:27:14 time: 0.6460 data_time: 0.0238 memory: 17350 grad_norm: 7.4919 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3619 loss: 1.3619 2022/07/24 00:23:56 - mmengine - INFO - Epoch(train) [64][1880/3757] lr: 1.0000e-03 eta: 1 day, 1:27:01 time: 0.6890 data_time: 0.0225 memory: 17350 grad_norm: 7.4192 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1096 loss: 1.1096 2022/07/24 00:24:10 - mmengine - INFO - Epoch(train) [64][1900/3757] lr: 1.0000e-03 eta: 1 day, 1:26:48 time: 0.6523 data_time: 0.0216 memory: 17350 grad_norm: 7.4843 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1924 loss: 1.1924 2022/07/24 00:24:24 - mmengine - INFO - Epoch(train) [64][1920/3757] lr: 1.0000e-03 eta: 1 day, 1:26:35 time: 0.7059 data_time: 0.0220 memory: 17350 grad_norm: 7.8021 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2826 loss: 1.2826 2022/07/24 00:24:36 - mmengine - INFO - Epoch(train) [64][1940/3757] lr: 1.0000e-03 eta: 1 day, 1:26:21 time: 0.6353 data_time: 0.0244 memory: 17350 grad_norm: 7.5572 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4120 loss: 1.4120 2022/07/24 00:24:50 - mmengine - INFO - Epoch(train) [64][1960/3757] lr: 1.0000e-03 eta: 1 day, 1:26:08 time: 0.6631 data_time: 0.0200 memory: 17350 grad_norm: 7.6479 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3674 loss: 1.3674 2022/07/24 00:25:04 - mmengine - INFO - Epoch(train) [64][1980/3757] lr: 1.0000e-03 eta: 1 day, 1:25:55 time: 0.7298 data_time: 0.0264 memory: 17350 grad_norm: 7.2076 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2076 loss: 1.2076 2022/07/24 00:25:18 - mmengine - INFO - Epoch(train) [64][2000/3757] lr: 1.0000e-03 eta: 1 day, 1:25:42 time: 0.6846 data_time: 0.0239 memory: 17350 grad_norm: 7.3499 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1577 loss: 1.1577 2022/07/24 00:25:31 - mmengine - INFO - Epoch(train) [64][2020/3757] lr: 1.0000e-03 eta: 1 day, 1:25:28 time: 0.6509 data_time: 0.0240 memory: 17350 grad_norm: 7.0487 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9250 loss: 0.9250 2022/07/24 00:25:44 - mmengine - INFO - Epoch(train) [64][2040/3757] lr: 1.0000e-03 eta: 1 day, 1:25:14 time: 0.6422 data_time: 0.0230 memory: 17350 grad_norm: 7.6367 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1390 loss: 1.1390 2022/07/24 00:25:58 - mmengine - INFO - Epoch(train) [64][2060/3757] lr: 1.0000e-03 eta: 1 day, 1:25:01 time: 0.7014 data_time: 0.0235 memory: 17350 grad_norm: 7.4684 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2403 loss: 1.2403 2022/07/24 00:26:10 - mmengine - INFO - Epoch(train) [64][2080/3757] lr: 1.0000e-03 eta: 1 day, 1:24:47 time: 0.5976 data_time: 0.0214 memory: 17350 grad_norm: 7.5731 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1986 loss: 1.1986 2022/07/24 00:26:24 - mmengine - INFO - Epoch(train) [64][2100/3757] lr: 1.0000e-03 eta: 1 day, 1:24:34 time: 0.7065 data_time: 0.0223 memory: 17350 grad_norm: 7.0716 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2263 loss: 1.2263 2022/07/24 00:26:37 - mmengine - INFO - Epoch(train) [64][2120/3757] lr: 1.0000e-03 eta: 1 day, 1:24:21 time: 0.6310 data_time: 0.0231 memory: 17350 grad_norm: 7.4728 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1190 loss: 1.1190 2022/07/24 00:26:51 - mmengine - INFO - Epoch(train) [64][2140/3757] lr: 1.0000e-03 eta: 1 day, 1:24:08 time: 0.7087 data_time: 0.0215 memory: 17350 grad_norm: 7.2845 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0185 loss: 1.0185 2022/07/24 00:27:03 - mmengine - INFO - Epoch(train) [64][2160/3757] lr: 1.0000e-03 eta: 1 day, 1:23:54 time: 0.6222 data_time: 0.0279 memory: 17350 grad_norm: 7.5595 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9152 loss: 0.9152 2022/07/24 00:27:18 - mmengine - INFO - Epoch(train) [64][2180/3757] lr: 1.0000e-03 eta: 1 day, 1:23:41 time: 0.7278 data_time: 0.0230 memory: 17350 grad_norm: 7.5856 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4354 loss: 1.4354 2022/07/24 00:27:30 - mmengine - INFO - Epoch(train) [64][2200/3757] lr: 1.0000e-03 eta: 1 day, 1:23:27 time: 0.5959 data_time: 0.0223 memory: 17350 grad_norm: 7.7265 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0797 loss: 1.0797 2022/07/24 00:27:44 - mmengine - INFO - Epoch(train) [64][2220/3757] lr: 1.0000e-03 eta: 1 day, 1:23:14 time: 0.7154 data_time: 0.0241 memory: 17350 grad_norm: 7.5112 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0679 loss: 1.0679 2022/07/24 00:27:56 - mmengine - INFO - Epoch(train) [64][2240/3757] lr: 1.0000e-03 eta: 1 day, 1:23:00 time: 0.6116 data_time: 0.0198 memory: 17350 grad_norm: 7.3932 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3477 loss: 1.3477 2022/07/24 00:28:11 - mmengine - INFO - Epoch(train) [64][2260/3757] lr: 1.0000e-03 eta: 1 day, 1:22:47 time: 0.7204 data_time: 0.0210 memory: 17350 grad_norm: 7.3207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9905 loss: 0.9905 2022/07/24 00:28:22 - mmengine - INFO - Epoch(train) [64][2280/3757] lr: 1.0000e-03 eta: 1 day, 1:22:33 time: 0.5827 data_time: 0.0261 memory: 17350 grad_norm: 7.4748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1224 loss: 1.1224 2022/07/24 00:28:38 - mmengine - INFO - Epoch(train) [64][2300/3757] lr: 1.0000e-03 eta: 1 day, 1:22:21 time: 0.7569 data_time: 0.0220 memory: 17350 grad_norm: 7.3138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9956 loss: 0.9956 2022/07/24 00:28:44 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 00:28:49 - mmengine - INFO - Epoch(train) [64][2320/3757] lr: 1.0000e-03 eta: 1 day, 1:22:06 time: 0.5837 data_time: 0.0230 memory: 17350 grad_norm: 7.3962 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0876 loss: 1.0876 2022/07/24 00:29:04 - mmengine - INFO - Epoch(train) [64][2340/3757] lr: 1.0000e-03 eta: 1 day, 1:21:54 time: 0.7392 data_time: 0.0225 memory: 17350 grad_norm: 7.3650 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1160 loss: 1.1160 2022/07/24 00:29:16 - mmengine - INFO - Epoch(train) [64][2360/3757] lr: 1.0000e-03 eta: 1 day, 1:21:40 time: 0.6045 data_time: 0.0228 memory: 17350 grad_norm: 7.6961 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9614 loss: 0.9614 2022/07/24 00:29:30 - mmengine - INFO - Epoch(train) [64][2380/3757] lr: 1.0000e-03 eta: 1 day, 1:21:27 time: 0.6884 data_time: 0.0207 memory: 17350 grad_norm: 7.5598 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1721 loss: 1.1721 2022/07/24 00:29:42 - mmengine - INFO - Epoch(train) [64][2400/3757] lr: 1.0000e-03 eta: 1 day, 1:21:13 time: 0.6199 data_time: 0.0230 memory: 17350 grad_norm: 7.2318 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2081 loss: 1.2081 2022/07/24 00:29:56 - mmengine - INFO - Epoch(train) [64][2420/3757] lr: 1.0000e-03 eta: 1 day, 1:20:59 time: 0.6623 data_time: 0.0217 memory: 17350 grad_norm: 7.2933 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1809 loss: 1.1809 2022/07/24 00:30:08 - mmengine - INFO - Epoch(train) [64][2440/3757] lr: 1.0000e-03 eta: 1 day, 1:20:45 time: 0.6328 data_time: 0.0336 memory: 17350 grad_norm: 7.3958 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4178 loss: 1.4178 2022/07/24 00:30:23 - mmengine - INFO - Epoch(train) [64][2460/3757] lr: 1.0000e-03 eta: 1 day, 1:20:33 time: 0.7238 data_time: 0.0224 memory: 17350 grad_norm: 7.7185 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1389 loss: 1.1389 2022/07/24 00:30:35 - mmengine - INFO - Epoch(train) [64][2480/3757] lr: 1.0000e-03 eta: 1 day, 1:20:19 time: 0.6068 data_time: 0.0274 memory: 17350 grad_norm: 7.5085 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1428 loss: 1.1428 2022/07/24 00:30:49 - mmengine - INFO - Epoch(train) [64][2500/3757] lr: 1.0000e-03 eta: 1 day, 1:20:06 time: 0.6911 data_time: 0.0224 memory: 17350 grad_norm: 7.5512 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9471 loss: 0.9471 2022/07/24 00:31:01 - mmengine - INFO - Epoch(train) [64][2520/3757] lr: 1.0000e-03 eta: 1 day, 1:19:52 time: 0.6085 data_time: 0.0316 memory: 17350 grad_norm: 7.7824 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3907 loss: 1.3907 2022/07/24 00:31:15 - mmengine - INFO - Epoch(train) [64][2540/3757] lr: 1.0000e-03 eta: 1 day, 1:19:39 time: 0.7048 data_time: 0.0237 memory: 17350 grad_norm: 7.8063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3135 loss: 1.3135 2022/07/24 00:31:29 - mmengine - INFO - Epoch(train) [64][2560/3757] lr: 1.0000e-03 eta: 1 day, 1:19:25 time: 0.6934 data_time: 0.0243 memory: 17350 grad_norm: 7.5794 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1559 loss: 1.1559 2022/07/24 00:31:42 - mmengine - INFO - Epoch(train) [64][2580/3757] lr: 1.0000e-03 eta: 1 day, 1:19:12 time: 0.6369 data_time: 0.0213 memory: 17350 grad_norm: 7.4137 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0641 loss: 1.0641 2022/07/24 00:31:55 - mmengine - INFO - Epoch(train) [64][2600/3757] lr: 1.0000e-03 eta: 1 day, 1:18:58 time: 0.6620 data_time: 0.0250 memory: 17350 grad_norm: 7.6902 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2555 loss: 1.2555 2022/07/24 00:32:08 - mmengine - INFO - Epoch(train) [64][2620/3757] lr: 1.0000e-03 eta: 1 day, 1:18:45 time: 0.6329 data_time: 0.0318 memory: 17350 grad_norm: 7.6506 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2567 loss: 1.2567 2022/07/24 00:32:23 - mmengine - INFO - Epoch(train) [64][2640/3757] lr: 1.0000e-03 eta: 1 day, 1:18:32 time: 0.7581 data_time: 0.0253 memory: 17350 grad_norm: 7.3939 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0237 loss: 1.0237 2022/07/24 00:32:36 - mmengine - INFO - Epoch(train) [64][2660/3757] lr: 1.0000e-03 eta: 1 day, 1:18:19 time: 0.6429 data_time: 0.0247 memory: 17350 grad_norm: 7.4104 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0438 loss: 1.0438 2022/07/24 00:32:50 - mmengine - INFO - Epoch(train) [64][2680/3757] lr: 1.0000e-03 eta: 1 day, 1:18:06 time: 0.6968 data_time: 0.0232 memory: 17350 grad_norm: 7.3542 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0702 loss: 1.0702 2022/07/24 00:33:01 - mmengine - INFO - Epoch(train) [64][2700/3757] lr: 1.0000e-03 eta: 1 day, 1:17:51 time: 0.5786 data_time: 0.0259 memory: 17350 grad_norm: 6.9445 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9973 loss: 0.9973 2022/07/24 00:33:16 - mmengine - INFO - Epoch(train) [64][2720/3757] lr: 1.0000e-03 eta: 1 day, 1:17:38 time: 0.7185 data_time: 0.0244 memory: 17350 grad_norm: 7.5521 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2995 loss: 1.2995 2022/07/24 00:33:28 - mmengine - INFO - Epoch(train) [64][2740/3757] lr: 1.0000e-03 eta: 1 day, 1:17:25 time: 0.6359 data_time: 0.0236 memory: 17350 grad_norm: 7.1712 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1619 loss: 1.1619 2022/07/24 00:33:41 - mmengine - INFO - Epoch(train) [64][2760/3757] lr: 1.0000e-03 eta: 1 day, 1:17:11 time: 0.6416 data_time: 0.0224 memory: 17350 grad_norm: 7.3228 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9842 loss: 0.9842 2022/07/24 00:33:53 - mmengine - INFO - Epoch(train) [64][2780/3757] lr: 1.0000e-03 eta: 1 day, 1:16:56 time: 0.5676 data_time: 0.0226 memory: 17350 grad_norm: 7.2863 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2713 loss: 1.2713 2022/07/24 00:34:07 - mmengine - INFO - Epoch(train) [64][2800/3757] lr: 1.0000e-03 eta: 1 day, 1:16:44 time: 0.7407 data_time: 0.0225 memory: 17350 grad_norm: 7.5668 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3441 loss: 1.3441 2022/07/24 00:34:19 - mmengine - INFO - Epoch(train) [64][2820/3757] lr: 1.0000e-03 eta: 1 day, 1:16:29 time: 0.5719 data_time: 0.0219 memory: 17350 grad_norm: 7.4324 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9826 loss: 0.9826 2022/07/24 00:34:34 - mmengine - INFO - Epoch(train) [64][2840/3757] lr: 1.0000e-03 eta: 1 day, 1:16:17 time: 0.7585 data_time: 0.0219 memory: 17350 grad_norm: 7.1213 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0984 loss: 1.0984 2022/07/24 00:34:45 - mmengine - INFO - Epoch(train) [64][2860/3757] lr: 1.0000e-03 eta: 1 day, 1:16:03 time: 0.5724 data_time: 0.0226 memory: 17350 grad_norm: 7.7116 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1873 loss: 1.1873 2022/07/24 00:35:00 - mmengine - INFO - Epoch(train) [64][2880/3757] lr: 1.0000e-03 eta: 1 day, 1:15:50 time: 0.7112 data_time: 0.0357 memory: 17350 grad_norm: 7.7054 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1522 loss: 1.1522 2022/07/24 00:35:12 - mmengine - INFO - Epoch(train) [64][2900/3757] lr: 1.0000e-03 eta: 1 day, 1:15:36 time: 0.6272 data_time: 0.0224 memory: 17350 grad_norm: 7.5002 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3111 loss: 1.3111 2022/07/24 00:35:27 - mmengine - INFO - Epoch(train) [64][2920/3757] lr: 1.0000e-03 eta: 1 day, 1:15:23 time: 0.7195 data_time: 0.0222 memory: 17350 grad_norm: 7.6896 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1727 loss: 1.1727 2022/07/24 00:35:39 - mmengine - INFO - Epoch(train) [64][2940/3757] lr: 1.0000e-03 eta: 1 day, 1:15:09 time: 0.6278 data_time: 0.0235 memory: 17350 grad_norm: 7.2785 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1143 loss: 1.1143 2022/07/24 00:35:53 - mmengine - INFO - Epoch(train) [64][2960/3757] lr: 1.0000e-03 eta: 1 day, 1:14:56 time: 0.6952 data_time: 0.0250 memory: 17350 grad_norm: 7.1746 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2805 loss: 1.2805 2022/07/24 00:36:06 - mmengine - INFO - Epoch(train) [64][2980/3757] lr: 1.0000e-03 eta: 1 day, 1:14:43 time: 0.6369 data_time: 0.0569 memory: 17350 grad_norm: 7.5375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3176 loss: 1.3176 2022/07/24 00:36:20 - mmengine - INFO - Epoch(train) [64][3000/3757] lr: 1.0000e-03 eta: 1 day, 1:14:30 time: 0.7247 data_time: 0.1150 memory: 17350 grad_norm: 7.3284 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0201 loss: 1.0201 2022/07/24 00:36:33 - mmengine - INFO - Epoch(train) [64][3020/3757] lr: 1.0000e-03 eta: 1 day, 1:14:16 time: 0.6463 data_time: 0.2034 memory: 17350 grad_norm: 7.3430 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1588 loss: 1.1588 2022/07/24 00:36:47 - mmengine - INFO - Epoch(train) [64][3040/3757] lr: 1.0000e-03 eta: 1 day, 1:14:03 time: 0.6895 data_time: 0.2324 memory: 17350 grad_norm: 7.1852 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9603 loss: 0.9603 2022/07/24 00:37:01 - mmengine - INFO - Epoch(train) [64][3060/3757] lr: 1.0000e-03 eta: 1 day, 1:13:50 time: 0.6736 data_time: 0.1961 memory: 17350 grad_norm: 7.5554 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2716 loss: 1.2716 2022/07/24 00:37:13 - mmengine - INFO - Epoch(train) [64][3080/3757] lr: 1.0000e-03 eta: 1 day, 1:13:36 time: 0.6274 data_time: 0.1366 memory: 17350 grad_norm: 7.4695 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2213 loss: 1.2213 2022/07/24 00:37:28 - mmengine - INFO - Epoch(train) [64][3100/3757] lr: 1.0000e-03 eta: 1 day, 1:13:23 time: 0.7294 data_time: 0.2155 memory: 17350 grad_norm: 7.3529 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9106 loss: 0.9106 2022/07/24 00:37:40 - mmengine - INFO - Epoch(train) [64][3120/3757] lr: 1.0000e-03 eta: 1 day, 1:13:09 time: 0.6031 data_time: 0.2095 memory: 17350 grad_norm: 7.3609 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3493 loss: 1.3493 2022/07/24 00:37:53 - mmengine - INFO - Epoch(train) [64][3140/3757] lr: 1.0000e-03 eta: 1 day, 1:12:56 time: 0.6782 data_time: 0.2726 memory: 17350 grad_norm: 7.5466 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2400 loss: 1.2400 2022/07/24 00:38:06 - mmengine - INFO - Epoch(train) [64][3160/3757] lr: 1.0000e-03 eta: 1 day, 1:12:42 time: 0.6139 data_time: 0.2268 memory: 17350 grad_norm: 7.4525 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0968 loss: 1.0968 2022/07/24 00:38:20 - mmengine - INFO - Epoch(train) [64][3180/3757] lr: 1.0000e-03 eta: 1 day, 1:12:29 time: 0.7011 data_time: 0.1513 memory: 17350 grad_norm: 7.6374 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1311 loss: 1.1311 2022/07/24 00:38:32 - mmengine - INFO - Epoch(train) [64][3200/3757] lr: 1.0000e-03 eta: 1 day, 1:12:15 time: 0.6311 data_time: 0.1221 memory: 17350 grad_norm: 7.3459 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1516 loss: 1.1516 2022/07/24 00:38:47 - mmengine - INFO - Epoch(train) [64][3220/3757] lr: 1.0000e-03 eta: 1 day, 1:12:03 time: 0.7349 data_time: 0.1866 memory: 17350 grad_norm: 7.6849 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3642 loss: 1.3642 2022/07/24 00:39:00 - mmengine - INFO - Epoch(train) [64][3240/3757] lr: 1.0000e-03 eta: 1 day, 1:11:49 time: 0.6367 data_time: 0.2192 memory: 17350 grad_norm: 7.5693 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3759 loss: 1.3759 2022/07/24 00:39:14 - mmengine - INFO - Epoch(train) [64][3260/3757] lr: 1.0000e-03 eta: 1 day, 1:11:36 time: 0.6997 data_time: 0.2808 memory: 17350 grad_norm: 7.3318 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3851 loss: 1.3851 2022/07/24 00:39:27 - mmengine - INFO - Epoch(train) [64][3280/3757] lr: 1.0000e-03 eta: 1 day, 1:11:22 time: 0.6449 data_time: 0.1688 memory: 17350 grad_norm: 7.3351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0233 loss: 1.0233 2022/07/24 00:39:41 - mmengine - INFO - Epoch(train) [64][3300/3757] lr: 1.0000e-03 eta: 1 day, 1:11:09 time: 0.6923 data_time: 0.0850 memory: 17350 grad_norm: 7.6105 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1406 loss: 1.1406 2022/07/24 00:39:46 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 00:39:54 - mmengine - INFO - Epoch(train) [64][3320/3757] lr: 1.0000e-03 eta: 1 day, 1:10:56 time: 0.6744 data_time: 0.1528 memory: 17350 grad_norm: 7.6199 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2768 loss: 1.2768 2022/07/24 00:40:07 - mmengine - INFO - Epoch(train) [64][3340/3757] lr: 1.0000e-03 eta: 1 day, 1:10:42 time: 0.6349 data_time: 0.2138 memory: 17350 grad_norm: 7.4879 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2617 loss: 1.2617 2022/07/24 00:40:21 - mmengine - INFO - Epoch(train) [64][3360/3757] lr: 1.0000e-03 eta: 1 day, 1:10:29 time: 0.7219 data_time: 0.2084 memory: 17350 grad_norm: 7.4660 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3246 loss: 1.3246 2022/07/24 00:40:34 - mmengine - INFO - Epoch(train) [64][3380/3757] lr: 1.0000e-03 eta: 1 day, 1:10:16 time: 0.6204 data_time: 0.1363 memory: 17350 grad_norm: 7.9465 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0552 loss: 1.0552 2022/07/24 00:40:49 - mmengine - INFO - Epoch(train) [64][3400/3757] lr: 1.0000e-03 eta: 1 day, 1:10:03 time: 0.7384 data_time: 0.0570 memory: 17350 grad_norm: 7.2723 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2460 loss: 1.2460 2022/07/24 00:41:00 - mmengine - INFO - Epoch(train) [64][3420/3757] lr: 1.0000e-03 eta: 1 day, 1:09:49 time: 0.5953 data_time: 0.0233 memory: 17350 grad_norm: 7.4605 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1427 loss: 1.1427 2022/07/24 00:41:15 - mmengine - INFO - Epoch(train) [64][3440/3757] lr: 1.0000e-03 eta: 1 day, 1:09:36 time: 0.7290 data_time: 0.0233 memory: 17350 grad_norm: 7.6876 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2099 loss: 1.2099 2022/07/24 00:41:27 - mmengine - INFO - Epoch(train) [64][3460/3757] lr: 1.0000e-03 eta: 1 day, 1:09:22 time: 0.6033 data_time: 0.0239 memory: 17350 grad_norm: 7.8380 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2474 loss: 1.2474 2022/07/24 00:41:42 - mmengine - INFO - Epoch(train) [64][3480/3757] lr: 1.0000e-03 eta: 1 day, 1:09:09 time: 0.7338 data_time: 0.0231 memory: 17350 grad_norm: 7.4704 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3161 loss: 1.3161 2022/07/24 00:41:55 - mmengine - INFO - Epoch(train) [64][3500/3757] lr: 1.0000e-03 eta: 1 day, 1:08:56 time: 0.6355 data_time: 0.0238 memory: 17350 grad_norm: 7.2437 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1738 loss: 1.1738 2022/07/24 00:42:09 - mmengine - INFO - Epoch(train) [64][3520/3757] lr: 1.0000e-03 eta: 1 day, 1:08:43 time: 0.7192 data_time: 0.0223 memory: 17350 grad_norm: 7.4000 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3390 loss: 1.3390 2022/07/24 00:42:21 - mmengine - INFO - Epoch(train) [64][3540/3757] lr: 1.0000e-03 eta: 1 day, 1:08:29 time: 0.6101 data_time: 0.0226 memory: 17350 grad_norm: 7.5288 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3291 loss: 1.3291 2022/07/24 00:42:35 - mmengine - INFO - Epoch(train) [64][3560/3757] lr: 1.0000e-03 eta: 1 day, 1:08:16 time: 0.7125 data_time: 0.0222 memory: 17350 grad_norm: 7.2228 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2957 loss: 1.2957 2022/07/24 00:42:48 - mmengine - INFO - Epoch(train) [64][3580/3757] lr: 1.0000e-03 eta: 1 day, 1:08:02 time: 0.6041 data_time: 0.0228 memory: 17350 grad_norm: 7.4065 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3390 loss: 1.3390 2022/07/24 00:43:02 - mmengine - INFO - Epoch(train) [64][3600/3757] lr: 1.0000e-03 eta: 1 day, 1:07:49 time: 0.7382 data_time: 0.0239 memory: 17350 grad_norm: 7.5513 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9722 loss: 0.9722 2022/07/24 00:43:14 - mmengine - INFO - Epoch(train) [64][3620/3757] lr: 1.0000e-03 eta: 1 day, 1:07:35 time: 0.5951 data_time: 0.0257 memory: 17350 grad_norm: 7.5758 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2683 loss: 1.2683 2022/07/24 00:43:29 - mmengine - INFO - Epoch(train) [64][3640/3757] lr: 1.0000e-03 eta: 1 day, 1:07:23 time: 0.7408 data_time: 0.0238 memory: 17350 grad_norm: 7.5323 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3650 loss: 1.3650 2022/07/24 00:43:41 - mmengine - INFO - Epoch(train) [64][3660/3757] lr: 1.0000e-03 eta: 1 day, 1:07:09 time: 0.6051 data_time: 0.0239 memory: 17350 grad_norm: 7.6802 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4171 loss: 1.4171 2022/07/24 00:43:54 - mmengine - INFO - Epoch(train) [64][3680/3757] lr: 1.0000e-03 eta: 1 day, 1:06:55 time: 0.6570 data_time: 0.0218 memory: 17350 grad_norm: 7.2351 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1536 loss: 1.1536 2022/07/24 00:44:07 - mmengine - INFO - Epoch(train) [64][3700/3757] lr: 1.0000e-03 eta: 1 day, 1:06:41 time: 0.6234 data_time: 0.0203 memory: 17350 grad_norm: 7.4277 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 1.5379 loss: 1.5379 2022/07/24 00:44:22 - mmengine - INFO - Epoch(train) [64][3720/3757] lr: 1.0000e-03 eta: 1 day, 1:06:29 time: 0.7378 data_time: 0.0234 memory: 17350 grad_norm: 7.2381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0376 loss: 1.0376 2022/07/24 00:44:34 - mmengine - INFO - Epoch(train) [64][3740/3757] lr: 1.0000e-03 eta: 1 day, 1:06:15 time: 0.6030 data_time: 0.0236 memory: 17350 grad_norm: 7.6112 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0720 loss: 1.0720 2022/07/24 00:44:42 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 00:44:42 - mmengine - INFO - Epoch(train) [64][3757/3757] lr: 1.0000e-03 eta: 1 day, 1:06:15 time: 0.4839 data_time: 0.0222 memory: 17350 grad_norm: 7.5766 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.1333 loss: 1.1333 2022/07/24 00:45:00 - mmengine - INFO - Epoch(val) [64][20/310] eta: 0:04:17 time: 0.8891 data_time: 0.7757 memory: 3406 2022/07/24 00:45:12 - mmengine - INFO - Epoch(val) [64][40/310] eta: 0:02:37 time: 0.5827 data_time: 0.4682 memory: 3406 2022/07/24 00:45:26 - mmengine - INFO - Epoch(val) [64][60/310] eta: 0:03:04 time: 0.7377 data_time: 0.6239 memory: 3406 2022/07/24 00:45:38 - mmengine - INFO - Epoch(val) [64][80/310] eta: 0:02:07 time: 0.5544 data_time: 0.4434 memory: 3406 2022/07/24 00:45:53 - mmengine - INFO - Epoch(val) [64][100/310] eta: 0:02:38 time: 0.7542 data_time: 0.6404 memory: 3406 2022/07/24 00:46:04 - mmengine - INFO - Epoch(val) [64][120/310] eta: 0:01:43 time: 0.5463 data_time: 0.4336 memory: 3406 2022/07/24 00:46:20 - mmengine - INFO - Epoch(val) [64][140/310] eta: 0:02:19 time: 0.8222 data_time: 0.7102 memory: 3406 2022/07/24 00:46:31 - mmengine - INFO - Epoch(val) [64][160/310] eta: 0:01:20 time: 0.5395 data_time: 0.4266 memory: 3406 2022/07/24 00:46:47 - mmengine - INFO - Epoch(val) [64][180/310] eta: 0:01:43 time: 0.7927 data_time: 0.6749 memory: 3406 2022/07/24 00:46:58 - mmengine - INFO - Epoch(val) [64][200/310] eta: 0:01:02 time: 0.5697 data_time: 0.4551 memory: 3406 2022/07/24 00:47:13 - mmengine - INFO - Epoch(val) [64][220/310] eta: 0:01:05 time: 0.7322 data_time: 0.6182 memory: 3406 2022/07/24 00:47:24 - mmengine - INFO - Epoch(val) [64][240/310] eta: 0:00:38 time: 0.5459 data_time: 0.4341 memory: 3406 2022/07/24 00:47:39 - mmengine - INFO - Epoch(val) [64][260/310] eta: 0:00:37 time: 0.7546 data_time: 0.6400 memory: 3406 2022/07/24 00:47:50 - mmengine - INFO - Epoch(val) [64][280/310] eta: 0:00:16 time: 0.5483 data_time: 0.4357 memory: 3406 2022/07/24 00:48:04 - mmengine - INFO - Epoch(val) [64][300/310] eta: 0:00:07 time: 0.7135 data_time: 0.5999 memory: 3406 2022/07/24 00:48:08 - mmengine - INFO - Epoch(val) [64][310/310] acc/top1: 0.6785 acc/top5: 0.8741 acc/mean1: 0.6784 2022/07/24 00:48:09 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_61.pth is removed 2022/07/24 00:48:11 - mmengine - INFO - The best checkpoint with 0.6785 acc/top1 at 65 epoch is saved to best_acc/top1_epoch_65.pth. 2022/07/24 00:48:28 - mmengine - INFO - Epoch(train) [65][20/3757] lr: 1.0000e-03 eta: 1 day, 1:05:46 time: 0.8562 data_time: 0.5240 memory: 17350 grad_norm: 7.1986 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9664 loss: 0.9664 2022/07/24 00:48:40 - mmengine - INFO - Epoch(train) [65][40/3757] lr: 1.0000e-03 eta: 1 day, 1:05:31 time: 0.6037 data_time: 0.2757 memory: 17350 grad_norm: 7.0996 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0243 loss: 1.0243 2022/07/24 00:48:55 - mmengine - INFO - Epoch(train) [65][60/3757] lr: 1.0000e-03 eta: 1 day, 1:05:19 time: 0.7340 data_time: 0.4033 memory: 17350 grad_norm: 7.2154 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1763 loss: 1.1763 2022/07/24 00:49:07 - mmengine - INFO - Epoch(train) [65][80/3757] lr: 1.0000e-03 eta: 1 day, 1:05:05 time: 0.6023 data_time: 0.2705 memory: 17350 grad_norm: 7.3804 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0647 loss: 1.0647 2022/07/24 00:49:23 - mmengine - INFO - Epoch(train) [65][100/3757] lr: 1.0000e-03 eta: 1 day, 1:04:53 time: 0.7992 data_time: 0.4660 memory: 17350 grad_norm: 7.2422 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2457 loss: 1.2457 2022/07/24 00:49:35 - mmengine - INFO - Epoch(train) [65][120/3757] lr: 1.0000e-03 eta: 1 day, 1:04:39 time: 0.6031 data_time: 0.2662 memory: 17350 grad_norm: 7.6173 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3211 loss: 1.3211 2022/07/24 00:49:49 - mmengine - INFO - Epoch(train) [65][140/3757] lr: 1.0000e-03 eta: 1 day, 1:04:26 time: 0.6925 data_time: 0.3550 memory: 17350 grad_norm: 7.4175 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1982 loss: 1.1982 2022/07/24 00:50:01 - mmengine - INFO - Epoch(train) [65][160/3757] lr: 1.0000e-03 eta: 1 day, 1:04:12 time: 0.6096 data_time: 0.2757 memory: 17350 grad_norm: 7.4120 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2254 loss: 1.2254 2022/07/24 00:50:16 - mmengine - INFO - Epoch(train) [65][180/3757] lr: 1.0000e-03 eta: 1 day, 1:04:00 time: 0.7837 data_time: 0.4387 memory: 17350 grad_norm: 7.3964 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2264 loss: 1.2264 2022/07/24 00:50:28 - mmengine - INFO - Epoch(train) [65][200/3757] lr: 1.0000e-03 eta: 1 day, 1:03:45 time: 0.5767 data_time: 0.2219 memory: 17350 grad_norm: 7.6033 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2834 loss: 1.2834 2022/07/24 00:50:43 - mmengine - INFO - Epoch(train) [65][220/3757] lr: 1.0000e-03 eta: 1 day, 1:03:33 time: 0.7653 data_time: 0.4297 memory: 17350 grad_norm: 7.7917 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1723 loss: 1.1723 2022/07/24 00:50:55 - mmengine - INFO - Epoch(train) [65][240/3757] lr: 1.0000e-03 eta: 1 day, 1:03:19 time: 0.5990 data_time: 0.2633 memory: 17350 grad_norm: 7.0795 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3379 loss: 1.3379 2022/07/24 00:51:10 - mmengine - INFO - Epoch(train) [65][260/3757] lr: 1.0000e-03 eta: 1 day, 1:03:06 time: 0.7115 data_time: 0.3763 memory: 17350 grad_norm: 7.2500 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3123 loss: 1.3123 2022/07/24 00:51:21 - mmengine - INFO - Epoch(train) [65][280/3757] lr: 1.0000e-03 eta: 1 day, 1:02:52 time: 0.5957 data_time: 0.2598 memory: 17350 grad_norm: 7.2095 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8926 loss: 0.8926 2022/07/24 00:51:36 - mmengine - INFO - Epoch(train) [65][300/3757] lr: 1.0000e-03 eta: 1 day, 1:02:39 time: 0.7443 data_time: 0.4042 memory: 17350 grad_norm: 7.7361 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3060 loss: 1.3060 2022/07/24 00:51:48 - mmengine - INFO - Epoch(train) [65][320/3757] lr: 1.0000e-03 eta: 1 day, 1:02:25 time: 0.6008 data_time: 0.2654 memory: 17350 grad_norm: 7.3223 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2842 loss: 1.2842 2022/07/24 00:52:03 - mmengine - INFO - Epoch(train) [65][340/3757] lr: 1.0000e-03 eta: 1 day, 1:02:13 time: 0.7410 data_time: 0.4099 memory: 17350 grad_norm: 7.6000 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1312 loss: 1.1312 2022/07/24 00:52:14 - mmengine - INFO - Epoch(train) [65][360/3757] lr: 1.0000e-03 eta: 1 day, 1:01:58 time: 0.5479 data_time: 0.2211 memory: 17350 grad_norm: 7.2504 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2778 loss: 1.2778 2022/07/24 00:52:30 - mmengine - INFO - Epoch(train) [65][380/3757] lr: 1.0000e-03 eta: 1 day, 1:01:46 time: 0.8050 data_time: 0.4764 memory: 17350 grad_norm: 7.0863 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1545 loss: 1.1545 2022/07/24 00:52:42 - mmengine - INFO - Epoch(train) [65][400/3757] lr: 1.0000e-03 eta: 1 day, 1:01:32 time: 0.5661 data_time: 0.2332 memory: 17350 grad_norm: 7.2831 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0925 loss: 1.0925 2022/07/24 00:52:58 - mmengine - INFO - Epoch(train) [65][420/3757] lr: 1.0000e-03 eta: 1 day, 1:01:20 time: 0.8254 data_time: 0.4694 memory: 17350 grad_norm: 7.9835 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2280 loss: 1.2280 2022/07/24 00:53:07 - mmengine - INFO - Epoch(train) [65][440/3757] lr: 1.0000e-03 eta: 1 day, 1:01:04 time: 0.4628 data_time: 0.0772 memory: 17350 grad_norm: 7.4069 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3162 loss: 1.3162 2022/07/24 00:53:21 - mmengine - INFO - Epoch(train) [65][460/3757] lr: 1.0000e-03 eta: 1 day, 1:00:51 time: 0.6705 data_time: 0.1526 memory: 17350 grad_norm: 7.5769 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2651 loss: 1.2651 2022/07/24 00:53:34 - mmengine - INFO - Epoch(train) [65][480/3757] lr: 1.0000e-03 eta: 1 day, 1:00:38 time: 0.6718 data_time: 0.1339 memory: 17350 grad_norm: 7.4276 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0683 loss: 1.0683 2022/07/24 00:53:49 - mmengine - INFO - Epoch(train) [65][500/3757] lr: 1.0000e-03 eta: 1 day, 1:00:25 time: 0.7583 data_time: 0.1426 memory: 17350 grad_norm: 7.4579 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0926 loss: 1.0926 2022/07/24 00:54:02 - mmengine - INFO - Epoch(train) [65][520/3757] lr: 1.0000e-03 eta: 1 day, 1:00:11 time: 0.6140 data_time: 0.0434 memory: 17350 grad_norm: 7.5132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1345 loss: 1.1345 2022/07/24 00:54:17 - mmengine - INFO - Epoch(train) [65][540/3757] lr: 1.0000e-03 eta: 1 day, 0:59:59 time: 0.7682 data_time: 0.1144 memory: 17350 grad_norm: 7.6351 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3181 loss: 1.3181 2022/07/24 00:54:24 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 00:54:28 - mmengine - INFO - Epoch(train) [65][560/3757] lr: 1.0000e-03 eta: 1 day, 0:59:45 time: 0.5614 data_time: 0.0239 memory: 17350 grad_norm: 7.0773 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3321 loss: 1.3321 2022/07/24 00:54:44 - mmengine - INFO - Epoch(train) [65][580/3757] lr: 1.0000e-03 eta: 1 day, 0:59:32 time: 0.7827 data_time: 0.0218 memory: 17350 grad_norm: 7.0463 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0554 loss: 1.0554 2022/07/24 00:54:56 - mmengine - INFO - Epoch(train) [65][600/3757] lr: 1.0000e-03 eta: 1 day, 0:59:19 time: 0.6207 data_time: 0.0215 memory: 17350 grad_norm: 7.4702 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2299 loss: 1.2299 2022/07/24 00:55:10 - mmengine - INFO - Epoch(train) [65][620/3757] lr: 1.0000e-03 eta: 1 day, 0:59:05 time: 0.6925 data_time: 0.0330 memory: 17350 grad_norm: 7.5699 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1317 loss: 1.1317 2022/07/24 00:55:22 - mmengine - INFO - Epoch(train) [65][640/3757] lr: 1.0000e-03 eta: 1 day, 0:58:51 time: 0.6042 data_time: 0.0228 memory: 17350 grad_norm: 7.4995 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.1920 loss: 1.1920 2022/07/24 00:55:37 - mmengine - INFO - Epoch(train) [65][660/3757] lr: 1.0000e-03 eta: 1 day, 0:58:38 time: 0.7063 data_time: 0.0226 memory: 17350 grad_norm: 7.5812 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0592 loss: 1.0592 2022/07/24 00:55:48 - mmengine - INFO - Epoch(train) [65][680/3757] lr: 1.0000e-03 eta: 1 day, 0:58:24 time: 0.5879 data_time: 0.0356 memory: 17350 grad_norm: 7.4745 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0351 loss: 1.0351 2022/07/24 00:56:03 - mmengine - INFO - Epoch(train) [65][700/3757] lr: 1.0000e-03 eta: 1 day, 0:58:12 time: 0.7403 data_time: 0.0210 memory: 17350 grad_norm: 7.4603 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0933 loss: 1.0933 2022/07/24 00:56:15 - mmengine - INFO - Epoch(train) [65][720/3757] lr: 1.0000e-03 eta: 1 day, 0:57:58 time: 0.6014 data_time: 0.0237 memory: 17350 grad_norm: 7.6956 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4003 loss: 1.4003 2022/07/24 00:56:30 - mmengine - INFO - Epoch(train) [65][740/3757] lr: 1.0000e-03 eta: 1 day, 0:57:45 time: 0.7203 data_time: 0.0225 memory: 17350 grad_norm: 7.5523 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1662 loss: 1.1662 2022/07/24 00:56:43 - mmengine - INFO - Epoch(train) [65][760/3757] lr: 1.0000e-03 eta: 1 day, 0:57:31 time: 0.6621 data_time: 0.0212 memory: 17350 grad_norm: 7.3755 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1425 loss: 1.1425 2022/07/24 00:56:56 - mmengine - INFO - Epoch(train) [65][780/3757] lr: 1.0000e-03 eta: 1 day, 0:57:18 time: 0.6666 data_time: 0.0214 memory: 17350 grad_norm: 7.6441 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2980 loss: 1.2980 2022/07/24 00:57:09 - mmengine - INFO - Epoch(train) [65][800/3757] lr: 1.0000e-03 eta: 1 day, 0:57:04 time: 0.6395 data_time: 0.0233 memory: 17350 grad_norm: 7.7148 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2825 loss: 1.2825 2022/07/24 00:57:22 - mmengine - INFO - Epoch(train) [65][820/3757] lr: 1.0000e-03 eta: 1 day, 0:56:51 time: 0.6685 data_time: 0.0217 memory: 17350 grad_norm: 7.4118 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3350 loss: 1.3350 2022/07/24 00:57:35 - mmengine - INFO - Epoch(train) [65][840/3757] lr: 1.0000e-03 eta: 1 day, 0:56:37 time: 0.6109 data_time: 0.0227 memory: 17350 grad_norm: 7.1537 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1055 loss: 1.1055 2022/07/24 00:57:48 - mmengine - INFO - Epoch(train) [65][860/3757] lr: 1.0000e-03 eta: 1 day, 0:56:23 time: 0.6628 data_time: 0.0218 memory: 17350 grad_norm: 7.7892 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3325 loss: 1.3325 2022/07/24 00:58:03 - mmengine - INFO - Epoch(train) [65][880/3757] lr: 1.0000e-03 eta: 1 day, 0:56:11 time: 0.7293 data_time: 0.0244 memory: 17350 grad_norm: 7.6195 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1796 loss: 1.1796 2022/07/24 00:58:15 - mmengine - INFO - Epoch(train) [65][900/3757] lr: 1.0000e-03 eta: 1 day, 0:55:57 time: 0.6250 data_time: 0.0218 memory: 17350 grad_norm: 7.4752 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9915 loss: 0.9915 2022/07/24 00:58:28 - mmengine - INFO - Epoch(train) [65][920/3757] lr: 1.0000e-03 eta: 1 day, 0:55:43 time: 0.6553 data_time: 0.0222 memory: 17350 grad_norm: 7.3638 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2239 loss: 1.2239 2022/07/24 00:58:41 - mmengine - INFO - Epoch(train) [65][940/3757] lr: 1.0000e-03 eta: 1 day, 0:55:30 time: 0.6524 data_time: 0.0221 memory: 17350 grad_norm: 7.4059 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0402 loss: 1.0402 2022/07/24 00:58:54 - mmengine - INFO - Epoch(train) [65][960/3757] lr: 1.0000e-03 eta: 1 day, 0:55:16 time: 0.6259 data_time: 0.0217 memory: 17350 grad_norm: 7.9327 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2079 loss: 1.2079 2022/07/24 00:59:08 - mmengine - INFO - Epoch(train) [65][980/3757] lr: 1.0000e-03 eta: 1 day, 0:55:03 time: 0.7046 data_time: 0.0240 memory: 17350 grad_norm: 7.4718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1342 loss: 1.1342 2022/07/24 00:59:21 - mmengine - INFO - Epoch(train) [65][1000/3757] lr: 1.0000e-03 eta: 1 day, 0:54:49 time: 0.6340 data_time: 0.0244 memory: 17350 grad_norm: 7.5053 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1449 loss: 1.1449 2022/07/24 00:59:34 - mmengine - INFO - Epoch(train) [65][1020/3757] lr: 1.0000e-03 eta: 1 day, 0:54:36 time: 0.6860 data_time: 0.0227 memory: 17350 grad_norm: 7.2979 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1605 loss: 1.1605 2022/07/24 00:59:47 - mmengine - INFO - Epoch(train) [65][1040/3757] lr: 1.0000e-03 eta: 1 day, 0:54:22 time: 0.6276 data_time: 0.0222 memory: 17350 grad_norm: 7.4825 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2121 loss: 1.2121 2022/07/24 01:00:01 - mmengine - INFO - Epoch(train) [65][1060/3757] lr: 1.0000e-03 eta: 1 day, 0:54:10 time: 0.7153 data_time: 0.0225 memory: 17350 grad_norm: 7.4458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4152 loss: 1.4152 2022/07/24 01:00:14 - mmengine - INFO - Epoch(train) [65][1080/3757] lr: 1.0000e-03 eta: 1 day, 0:53:56 time: 0.6302 data_time: 0.0259 memory: 17350 grad_norm: 7.3650 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1568 loss: 1.1568 2022/07/24 01:00:28 - mmengine - INFO - Epoch(train) [65][1100/3757] lr: 1.0000e-03 eta: 1 day, 0:53:43 time: 0.7054 data_time: 0.0217 memory: 17350 grad_norm: 7.6711 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7770 loss: 0.7770 2022/07/24 01:00:40 - mmengine - INFO - Epoch(train) [65][1120/3757] lr: 1.0000e-03 eta: 1 day, 0:53:29 time: 0.6027 data_time: 0.0231 memory: 17350 grad_norm: 7.2524 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1046 loss: 1.1046 2022/07/24 01:00:55 - mmengine - INFO - Epoch(train) [65][1140/3757] lr: 1.0000e-03 eta: 1 day, 0:53:16 time: 0.7400 data_time: 0.0604 memory: 17350 grad_norm: 7.4663 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1633 loss: 1.1633 2022/07/24 01:01:07 - mmengine - INFO - Epoch(train) [65][1160/3757] lr: 1.0000e-03 eta: 1 day, 0:53:02 time: 0.6216 data_time: 0.1305 memory: 17350 grad_norm: 7.4185 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2904 loss: 1.2904 2022/07/24 01:01:22 - mmengine - INFO - Epoch(train) [65][1180/3757] lr: 1.0000e-03 eta: 1 day, 0:52:50 time: 0.7450 data_time: 0.0968 memory: 17350 grad_norm: 7.3408 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1726 loss: 1.1726 2022/07/24 01:01:34 - mmengine - INFO - Epoch(train) [65][1200/3757] lr: 1.0000e-03 eta: 1 day, 0:52:36 time: 0.5928 data_time: 0.0223 memory: 17350 grad_norm: 7.1827 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9904 loss: 0.9904 2022/07/24 01:01:48 - mmengine - INFO - Epoch(train) [65][1220/3757] lr: 1.0000e-03 eta: 1 day, 0:52:22 time: 0.6815 data_time: 0.0226 memory: 17350 grad_norm: 7.1802 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2036 loss: 1.2036 2022/07/24 01:02:00 - mmengine - INFO - Epoch(train) [65][1240/3757] lr: 1.0000e-03 eta: 1 day, 0:52:08 time: 0.6013 data_time: 0.0224 memory: 17350 grad_norm: 7.4723 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1219 loss: 1.1219 2022/07/24 01:02:15 - mmengine - INFO - Epoch(train) [65][1260/3757] lr: 1.0000e-03 eta: 1 day, 0:51:56 time: 0.7545 data_time: 0.0230 memory: 17350 grad_norm: 7.6957 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2469 loss: 1.2469 2022/07/24 01:02:27 - mmengine - INFO - Epoch(train) [65][1280/3757] lr: 1.0000e-03 eta: 1 day, 0:51:42 time: 0.6081 data_time: 0.0240 memory: 17350 grad_norm: 7.7949 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5428 loss: 1.5428 2022/07/24 01:02:41 - mmengine - INFO - Epoch(train) [65][1300/3757] lr: 1.0000e-03 eta: 1 day, 0:51:29 time: 0.7159 data_time: 0.0234 memory: 17350 grad_norm: 7.7198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4124 loss: 1.4124 2022/07/24 01:02:53 - mmengine - INFO - Epoch(train) [65][1320/3757] lr: 1.0000e-03 eta: 1 day, 0:51:15 time: 0.5993 data_time: 0.0235 memory: 17350 grad_norm: 7.5782 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3534 loss: 1.3534 2022/07/24 01:03:08 - mmengine - INFO - Epoch(train) [65][1340/3757] lr: 1.0000e-03 eta: 1 day, 0:51:02 time: 0.7287 data_time: 0.0240 memory: 17350 grad_norm: 7.6391 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3521 loss: 1.3521 2022/07/24 01:03:20 - mmengine - INFO - Epoch(train) [65][1360/3757] lr: 1.0000e-03 eta: 1 day, 0:50:48 time: 0.6198 data_time: 0.0241 memory: 17350 grad_norm: 7.3494 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9956 loss: 0.9956 2022/07/24 01:03:34 - mmengine - INFO - Epoch(train) [65][1380/3757] lr: 1.0000e-03 eta: 1 day, 0:50:35 time: 0.6887 data_time: 0.0224 memory: 17350 grad_norm: 7.6077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1843 loss: 1.1843 2022/07/24 01:03:47 - mmengine - INFO - Epoch(train) [65][1400/3757] lr: 1.0000e-03 eta: 1 day, 0:50:21 time: 0.6241 data_time: 0.0238 memory: 17350 grad_norm: 7.6395 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2285 loss: 1.2285 2022/07/24 01:04:00 - mmengine - INFO - Epoch(train) [65][1420/3757] lr: 1.0000e-03 eta: 1 day, 0:50:08 time: 0.6514 data_time: 0.0233 memory: 17350 grad_norm: 7.2640 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0338 loss: 1.0338 2022/07/24 01:04:13 - mmengine - INFO - Epoch(train) [65][1440/3757] lr: 1.0000e-03 eta: 1 day, 0:49:55 time: 0.6882 data_time: 0.0225 memory: 17350 grad_norm: 7.6231 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1808 loss: 1.1808 2022/07/24 01:04:26 - mmengine - INFO - Epoch(train) [65][1460/3757] lr: 1.0000e-03 eta: 1 day, 0:49:41 time: 0.6442 data_time: 0.0273 memory: 17350 grad_norm: 7.7234 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1924 loss: 1.1924 2022/07/24 01:04:41 - mmengine - INFO - Epoch(train) [65][1480/3757] lr: 1.0000e-03 eta: 1 day, 0:49:28 time: 0.7157 data_time: 0.0228 memory: 17350 grad_norm: 7.7127 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1990 loss: 1.1990 2022/07/24 01:04:54 - mmengine - INFO - Epoch(train) [65][1500/3757] lr: 1.0000e-03 eta: 1 day, 0:49:15 time: 0.6481 data_time: 0.0220 memory: 17350 grad_norm: 7.3014 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0408 loss: 1.0408 2022/07/24 01:05:08 - mmengine - INFO - Epoch(train) [65][1520/3757] lr: 1.0000e-03 eta: 1 day, 0:49:02 time: 0.7335 data_time: 0.0248 memory: 17350 grad_norm: 7.6405 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9584 loss: 0.9584 2022/07/24 01:05:20 - mmengine - INFO - Epoch(train) [65][1540/3757] lr: 1.0000e-03 eta: 1 day, 0:48:48 time: 0.6019 data_time: 0.0239 memory: 17350 grad_norm: 7.4094 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1677 loss: 1.1677 2022/07/24 01:05:29 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 01:05:35 - mmengine - INFO - Epoch(train) [65][1560/3757] lr: 1.0000e-03 eta: 1 day, 0:48:35 time: 0.7347 data_time: 0.0218 memory: 17350 grad_norm: 7.2593 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0262 loss: 1.0262 2022/07/24 01:05:47 - mmengine - INFO - Epoch(train) [65][1580/3757] lr: 1.0000e-03 eta: 1 day, 0:48:21 time: 0.5870 data_time: 0.0225 memory: 17350 grad_norm: 7.2098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1645 loss: 1.1645 2022/07/24 01:06:01 - mmengine - INFO - Epoch(train) [65][1600/3757] lr: 1.0000e-03 eta: 1 day, 0:48:08 time: 0.7307 data_time: 0.0227 memory: 17350 grad_norm: 7.6182 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0232 loss: 1.0232 2022/07/24 01:06:13 - mmengine - INFO - Epoch(train) [65][1620/3757] lr: 1.0000e-03 eta: 1 day, 0:47:54 time: 0.5895 data_time: 0.0239 memory: 17350 grad_norm: 7.6431 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1468 loss: 1.1468 2022/07/24 01:06:28 - mmengine - INFO - Epoch(train) [65][1640/3757] lr: 1.0000e-03 eta: 1 day, 0:47:42 time: 0.7428 data_time: 0.0356 memory: 17350 grad_norm: 7.7972 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1839 loss: 1.1839 2022/07/24 01:06:40 - mmengine - INFO - Epoch(train) [65][1660/3757] lr: 1.0000e-03 eta: 1 day, 0:47:28 time: 0.6048 data_time: 0.0230 memory: 17350 grad_norm: 7.6498 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1194 loss: 1.1194 2022/07/24 01:06:54 - mmengine - INFO - Epoch(train) [65][1680/3757] lr: 1.0000e-03 eta: 1 day, 0:47:15 time: 0.7062 data_time: 0.0217 memory: 17350 grad_norm: 7.3026 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1434 loss: 1.1434 2022/07/24 01:07:06 - mmengine - INFO - Epoch(train) [65][1700/3757] lr: 1.0000e-03 eta: 1 day, 0:47:00 time: 0.5853 data_time: 0.0179 memory: 17350 grad_norm: 7.6445 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1669 loss: 1.1669 2022/07/24 01:07:22 - mmengine - INFO - Epoch(train) [65][1720/3757] lr: 1.0000e-03 eta: 1 day, 0:46:48 time: 0.7753 data_time: 0.0227 memory: 17350 grad_norm: 8.0528 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3276 loss: 1.3276 2022/07/24 01:07:33 - mmengine - INFO - Epoch(train) [65][1740/3757] lr: 1.0000e-03 eta: 1 day, 0:46:34 time: 0.5736 data_time: 0.0212 memory: 17350 grad_norm: 7.3785 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8492 loss: 0.8492 2022/07/24 01:07:47 - mmengine - INFO - Epoch(train) [65][1760/3757] lr: 1.0000e-03 eta: 1 day, 0:46:21 time: 0.7004 data_time: 0.0223 memory: 17350 grad_norm: 7.2679 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1445 loss: 1.1445 2022/07/24 01:08:00 - mmengine - INFO - Epoch(train) [65][1780/3757] lr: 1.0000e-03 eta: 1 day, 0:46:07 time: 0.6226 data_time: 0.0229 memory: 17350 grad_norm: 7.5993 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2195 loss: 1.2195 2022/07/24 01:08:14 - mmengine - INFO - Epoch(train) [65][1800/3757] lr: 1.0000e-03 eta: 1 day, 0:45:54 time: 0.7205 data_time: 0.0216 memory: 17350 grad_norm: 7.3700 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0778 loss: 1.0778 2022/07/24 01:08:26 - mmengine - INFO - Epoch(train) [65][1820/3757] lr: 1.0000e-03 eta: 1 day, 0:45:40 time: 0.6100 data_time: 0.0238 memory: 17350 grad_norm: 7.7331 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1231 loss: 1.1231 2022/07/24 01:08:41 - mmengine - INFO - Epoch(train) [65][1840/3757] lr: 1.0000e-03 eta: 1 day, 0:45:27 time: 0.7317 data_time: 0.0231 memory: 17350 grad_norm: 7.4557 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0770 loss: 1.0770 2022/07/24 01:08:53 - mmengine - INFO - Epoch(train) [65][1860/3757] lr: 1.0000e-03 eta: 1 day, 0:45:13 time: 0.6014 data_time: 0.0204 memory: 17350 grad_norm: 7.6455 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4417 loss: 1.4417 2022/07/24 01:09:07 - mmengine - INFO - Epoch(train) [65][1880/3757] lr: 1.0000e-03 eta: 1 day, 0:45:00 time: 0.7012 data_time: 0.0241 memory: 17350 grad_norm: 7.4310 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3903 loss: 1.3903 2022/07/24 01:09:19 - mmengine - INFO - Epoch(train) [65][1900/3757] lr: 1.0000e-03 eta: 1 day, 0:44:46 time: 0.6201 data_time: 0.0221 memory: 17350 grad_norm: 7.5857 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2755 loss: 1.2755 2022/07/24 01:09:34 - mmengine - INFO - Epoch(train) [65][1920/3757] lr: 1.0000e-03 eta: 1 day, 0:44:34 time: 0.7302 data_time: 0.0216 memory: 17350 grad_norm: 7.5185 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3221 loss: 1.3221 2022/07/24 01:09:46 - mmengine - INFO - Epoch(train) [65][1940/3757] lr: 1.0000e-03 eta: 1 day, 0:44:20 time: 0.6067 data_time: 0.0224 memory: 17350 grad_norm: 7.8959 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2283 loss: 1.2283 2022/07/24 01:10:00 - mmengine - INFO - Epoch(train) [65][1960/3757] lr: 1.0000e-03 eta: 1 day, 0:44:07 time: 0.7094 data_time: 0.0220 memory: 17350 grad_norm: 7.6471 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0566 loss: 1.0566 2022/07/24 01:10:12 - mmengine - INFO - Epoch(train) [65][1980/3757] lr: 1.0000e-03 eta: 1 day, 0:43:53 time: 0.6008 data_time: 0.0222 memory: 17350 grad_norm: 7.7306 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2250 loss: 1.2250 2022/07/24 01:10:28 - mmengine - INFO - Epoch(train) [65][2000/3757] lr: 1.0000e-03 eta: 1 day, 0:43:40 time: 0.7686 data_time: 0.0228 memory: 17350 grad_norm: 7.8028 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2082 loss: 1.2082 2022/07/24 01:10:40 - mmengine - INFO - Epoch(train) [65][2020/3757] lr: 1.0000e-03 eta: 1 day, 0:43:26 time: 0.5985 data_time: 0.0226 memory: 17350 grad_norm: 7.4734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0825 loss: 1.0825 2022/07/24 01:10:54 - mmengine - INFO - Epoch(train) [65][2040/3757] lr: 1.0000e-03 eta: 1 day, 0:43:14 time: 0.7183 data_time: 0.0209 memory: 17350 grad_norm: 7.5102 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0410 loss: 1.0410 2022/07/24 01:11:06 - mmengine - INFO - Epoch(train) [65][2060/3757] lr: 1.0000e-03 eta: 1 day, 0:43:00 time: 0.6093 data_time: 0.0230 memory: 17350 grad_norm: 7.4101 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0811 loss: 1.0811 2022/07/24 01:11:21 - mmengine - INFO - Epoch(train) [65][2080/3757] lr: 1.0000e-03 eta: 1 day, 0:42:47 time: 0.7333 data_time: 0.0220 memory: 17350 grad_norm: 7.5935 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2591 loss: 1.2591 2022/07/24 01:11:33 - mmengine - INFO - Epoch(train) [65][2100/3757] lr: 1.0000e-03 eta: 1 day, 0:42:33 time: 0.6050 data_time: 0.0250 memory: 17350 grad_norm: 7.4623 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3762 loss: 1.3762 2022/07/24 01:11:48 - mmengine - INFO - Epoch(train) [65][2120/3757] lr: 1.0000e-03 eta: 1 day, 0:42:20 time: 0.7396 data_time: 0.0340 memory: 17350 grad_norm: 7.4494 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0830 loss: 1.0830 2022/07/24 01:12:00 - mmengine - INFO - Epoch(train) [65][2140/3757] lr: 1.0000e-03 eta: 1 day, 0:42:06 time: 0.6124 data_time: 0.0325 memory: 17350 grad_norm: 7.6740 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1982 loss: 1.1982 2022/07/24 01:12:14 - mmengine - INFO - Epoch(train) [65][2160/3757] lr: 1.0000e-03 eta: 1 day, 0:41:53 time: 0.6688 data_time: 0.0249 memory: 17350 grad_norm: 7.5543 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1560 loss: 1.1560 2022/07/24 01:12:27 - mmengine - INFO - Epoch(train) [65][2180/3757] lr: 1.0000e-03 eta: 1 day, 0:41:40 time: 0.6708 data_time: 0.0272 memory: 17350 grad_norm: 7.8475 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4449 loss: 1.4449 2022/07/24 01:12:40 - mmengine - INFO - Epoch(train) [65][2200/3757] lr: 1.0000e-03 eta: 1 day, 0:41:26 time: 0.6547 data_time: 0.0666 memory: 17350 grad_norm: 7.8029 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1296 loss: 1.1296 2022/07/24 01:12:53 - mmengine - INFO - Epoch(train) [65][2220/3757] lr: 1.0000e-03 eta: 1 day, 0:41:12 time: 0.6455 data_time: 0.0216 memory: 17350 grad_norm: 7.5334 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2168 loss: 1.2168 2022/07/24 01:13:07 - mmengine - INFO - Epoch(train) [65][2240/3757] lr: 1.0000e-03 eta: 1 day, 0:41:00 time: 0.7098 data_time: 0.0255 memory: 17350 grad_norm: 7.8342 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2818 loss: 1.2818 2022/07/24 01:13:20 - mmengine - INFO - Epoch(train) [65][2260/3757] lr: 1.0000e-03 eta: 1 day, 0:40:46 time: 0.6390 data_time: 0.0225 memory: 17350 grad_norm: 7.6283 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0866 loss: 1.0866 2022/07/24 01:13:33 - mmengine - INFO - Epoch(train) [65][2280/3757] lr: 1.0000e-03 eta: 1 day, 0:40:33 time: 0.6681 data_time: 0.0218 memory: 17350 grad_norm: 7.1373 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0109 loss: 1.0109 2022/07/24 01:13:47 - mmengine - INFO - Epoch(train) [65][2300/3757] lr: 1.0000e-03 eta: 1 day, 0:40:19 time: 0.6720 data_time: 0.0636 memory: 17350 grad_norm: 7.6746 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5092 loss: 1.5092 2022/07/24 01:14:00 - mmengine - INFO - Epoch(train) [65][2320/3757] lr: 1.0000e-03 eta: 1 day, 0:40:06 time: 0.6518 data_time: 0.1631 memory: 17350 grad_norm: 7.5804 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2621 loss: 1.2621 2022/07/24 01:14:14 - mmengine - INFO - Epoch(train) [65][2340/3757] lr: 1.0000e-03 eta: 1 day, 0:39:52 time: 0.6806 data_time: 0.1247 memory: 17350 grad_norm: 7.1701 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2227 loss: 1.2227 2022/07/24 01:14:27 - mmengine - INFO - Epoch(train) [65][2360/3757] lr: 1.0000e-03 eta: 1 day, 0:39:39 time: 0.6515 data_time: 0.1469 memory: 17350 grad_norm: 7.4968 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0442 loss: 1.0442 2022/07/24 01:14:41 - mmengine - INFO - Epoch(train) [65][2380/3757] lr: 1.0000e-03 eta: 1 day, 0:39:26 time: 0.7125 data_time: 0.0922 memory: 17350 grad_norm: 7.7006 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1980 loss: 1.1980 2022/07/24 01:14:53 - mmengine - INFO - Epoch(train) [65][2400/3757] lr: 1.0000e-03 eta: 1 day, 0:39:12 time: 0.6004 data_time: 0.0463 memory: 17350 grad_norm: 7.6641 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3333 loss: 1.3333 2022/07/24 01:15:07 - mmengine - INFO - Epoch(train) [65][2420/3757] lr: 1.0000e-03 eta: 1 day, 0:38:59 time: 0.7166 data_time: 0.0794 memory: 17350 grad_norm: 7.4530 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2288 loss: 1.2288 2022/07/24 01:15:19 - mmengine - INFO - Epoch(train) [65][2440/3757] lr: 1.0000e-03 eta: 1 day, 0:38:45 time: 0.6018 data_time: 0.0937 memory: 17350 grad_norm: 7.5695 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0490 loss: 1.0490 2022/07/24 01:15:33 - mmengine - INFO - Epoch(train) [65][2460/3757] lr: 1.0000e-03 eta: 1 day, 0:38:32 time: 0.7089 data_time: 0.0314 memory: 17350 grad_norm: 7.6255 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3147 loss: 1.3147 2022/07/24 01:15:46 - mmengine - INFO - Epoch(train) [65][2480/3757] lr: 1.0000e-03 eta: 1 day, 0:38:18 time: 0.6205 data_time: 0.1014 memory: 17350 grad_norm: 7.7172 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2181 loss: 1.2181 2022/07/24 01:15:59 - mmengine - INFO - Epoch(train) [65][2500/3757] lr: 1.0000e-03 eta: 1 day, 0:38:05 time: 0.6762 data_time: 0.1687 memory: 17350 grad_norm: 7.9056 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3174 loss: 1.3174 2022/07/24 01:16:14 - mmengine - INFO - Epoch(train) [65][2520/3757] lr: 1.0000e-03 eta: 1 day, 0:37:52 time: 0.7176 data_time: 0.2620 memory: 17350 grad_norm: 7.8085 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4910 loss: 1.4910 2022/07/24 01:16:27 - mmengine - INFO - Epoch(train) [65][2540/3757] lr: 1.0000e-03 eta: 1 day, 0:37:39 time: 0.6454 data_time: 0.1535 memory: 17350 grad_norm: 7.4207 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1455 loss: 1.1455 2022/07/24 01:16:36 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 01:16:41 - mmengine - INFO - Epoch(train) [65][2560/3757] lr: 1.0000e-03 eta: 1 day, 0:37:25 time: 0.6969 data_time: 0.2676 memory: 17350 grad_norm: 7.4271 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3054 loss: 1.3054 2022/07/24 01:16:53 - mmengine - INFO - Epoch(train) [65][2580/3757] lr: 1.0000e-03 eta: 1 day, 0:37:11 time: 0.6105 data_time: 0.2285 memory: 17350 grad_norm: 7.3298 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0109 loss: 1.0109 2022/07/24 01:17:08 - mmengine - INFO - Epoch(train) [65][2600/3757] lr: 1.0000e-03 eta: 1 day, 0:36:59 time: 0.7414 data_time: 0.3925 memory: 17350 grad_norm: 7.4575 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0143 loss: 1.0143 2022/07/24 01:17:21 - mmengine - INFO - Epoch(train) [65][2620/3757] lr: 1.0000e-03 eta: 1 day, 0:36:45 time: 0.6467 data_time: 0.2659 memory: 17350 grad_norm: 7.5641 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1388 loss: 1.1388 2022/07/24 01:17:36 - mmengine - INFO - Epoch(train) [65][2640/3757] lr: 1.0000e-03 eta: 1 day, 0:36:33 time: 0.7434 data_time: 0.4083 memory: 17350 grad_norm: 7.5875 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5318 loss: 1.5318 2022/07/24 01:17:48 - mmengine - INFO - Epoch(train) [65][2660/3757] lr: 1.0000e-03 eta: 1 day, 0:36:19 time: 0.6079 data_time: 0.2701 memory: 17350 grad_norm: 7.3813 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3091 loss: 1.3091 2022/07/24 01:18:02 - mmengine - INFO - Epoch(train) [65][2680/3757] lr: 1.0000e-03 eta: 1 day, 0:36:06 time: 0.6914 data_time: 0.3542 memory: 17350 grad_norm: 7.9800 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0538 loss: 1.0538 2022/07/24 01:18:13 - mmengine - INFO - Epoch(train) [65][2700/3757] lr: 1.0000e-03 eta: 1 day, 0:35:51 time: 0.5623 data_time: 0.2250 memory: 17350 grad_norm: 7.3797 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0181 loss: 1.0181 2022/07/24 01:18:27 - mmengine - INFO - Epoch(train) [65][2720/3757] lr: 1.0000e-03 eta: 1 day, 0:35:38 time: 0.7015 data_time: 0.2798 memory: 17350 grad_norm: 7.7186 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1108 loss: 1.1108 2022/07/24 01:18:41 - mmengine - INFO - Epoch(train) [65][2740/3757] lr: 1.0000e-03 eta: 1 day, 0:35:25 time: 0.6827 data_time: 0.1040 memory: 17350 grad_norm: 7.5724 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1359 loss: 1.1359 2022/07/24 01:18:53 - mmengine - INFO - Epoch(train) [65][2760/3757] lr: 1.0000e-03 eta: 1 day, 0:35:11 time: 0.6246 data_time: 0.1277 memory: 17350 grad_norm: 7.8648 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9734 loss: 0.9734 2022/07/24 01:19:08 - mmengine - INFO - Epoch(train) [65][2780/3757] lr: 1.0000e-03 eta: 1 day, 0:34:59 time: 0.7448 data_time: 0.1011 memory: 17350 grad_norm: 7.7162 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9812 loss: 0.9812 2022/07/24 01:19:20 - mmengine - INFO - Epoch(train) [65][2800/3757] lr: 1.0000e-03 eta: 1 day, 0:34:45 time: 0.6179 data_time: 0.0254 memory: 17350 grad_norm: 7.4896 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1177 loss: 1.1177 2022/07/24 01:19:34 - mmengine - INFO - Epoch(train) [65][2820/3757] lr: 1.0000e-03 eta: 1 day, 0:34:32 time: 0.6914 data_time: 0.0178 memory: 17350 grad_norm: 7.6017 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0530 loss: 1.0530 2022/07/24 01:19:47 - mmengine - INFO - Epoch(train) [65][2840/3757] lr: 1.0000e-03 eta: 1 day, 0:34:18 time: 0.6189 data_time: 0.0239 memory: 17350 grad_norm: 7.5713 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1338 loss: 1.1338 2022/07/24 01:20:01 - mmengine - INFO - Epoch(train) [65][2860/3757] lr: 1.0000e-03 eta: 1 day, 0:34:05 time: 0.6999 data_time: 0.0212 memory: 17350 grad_norm: 7.9224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3814 loss: 1.3814 2022/07/24 01:20:13 - mmengine - INFO - Epoch(train) [65][2880/3757] lr: 1.0000e-03 eta: 1 day, 0:33:51 time: 0.6151 data_time: 0.0247 memory: 17350 grad_norm: 7.8499 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1707 loss: 1.1707 2022/07/24 01:20:28 - mmengine - INFO - Epoch(train) [65][2900/3757] lr: 1.0000e-03 eta: 1 day, 0:33:38 time: 0.7414 data_time: 0.0222 memory: 17350 grad_norm: 7.4657 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9687 loss: 0.9687 2022/07/24 01:20:40 - mmengine - INFO - Epoch(train) [65][2920/3757] lr: 1.0000e-03 eta: 1 day, 0:33:24 time: 0.6250 data_time: 0.1052 memory: 17350 grad_norm: 7.6025 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1012 loss: 1.1012 2022/07/24 01:20:54 - mmengine - INFO - Epoch(train) [65][2940/3757] lr: 1.0000e-03 eta: 1 day, 0:33:11 time: 0.6738 data_time: 0.0911 memory: 17350 grad_norm: 7.6018 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0950 loss: 1.0950 2022/07/24 01:21:06 - mmengine - INFO - Epoch(train) [65][2960/3757] lr: 1.0000e-03 eta: 1 day, 0:32:57 time: 0.6189 data_time: 0.0390 memory: 17350 grad_norm: 7.5392 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3141 loss: 1.3141 2022/07/24 01:21:21 - mmengine - INFO - Epoch(train) [65][2980/3757] lr: 1.0000e-03 eta: 1 day, 0:32:44 time: 0.7305 data_time: 0.1032 memory: 17350 grad_norm: 7.4049 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1081 loss: 1.1081 2022/07/24 01:21:33 - mmengine - INFO - Epoch(train) [65][3000/3757] lr: 1.0000e-03 eta: 1 day, 0:32:30 time: 0.6069 data_time: 0.1504 memory: 17350 grad_norm: 7.5111 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2466 loss: 1.2466 2022/07/24 01:21:47 - mmengine - INFO - Epoch(train) [65][3020/3757] lr: 1.0000e-03 eta: 1 day, 0:32:18 time: 0.7178 data_time: 0.0719 memory: 17350 grad_norm: 7.8970 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0975 loss: 1.0975 2022/07/24 01:21:59 - mmengine - INFO - Epoch(train) [65][3040/3757] lr: 1.0000e-03 eta: 1 day, 0:32:04 time: 0.6013 data_time: 0.0241 memory: 17350 grad_norm: 7.7261 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0764 loss: 1.0764 2022/07/24 01:22:14 - mmengine - INFO - Epoch(train) [65][3060/3757] lr: 1.0000e-03 eta: 1 day, 0:31:51 time: 0.7254 data_time: 0.0227 memory: 17350 grad_norm: 7.5518 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0213 loss: 1.0213 2022/07/24 01:22:26 - mmengine - INFO - Epoch(train) [65][3080/3757] lr: 1.0000e-03 eta: 1 day, 0:31:37 time: 0.6066 data_time: 0.0239 memory: 17350 grad_norm: 7.8690 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2788 loss: 1.2788 2022/07/24 01:22:41 - mmengine - INFO - Epoch(train) [65][3100/3757] lr: 1.0000e-03 eta: 1 day, 0:31:24 time: 0.7263 data_time: 0.0212 memory: 17350 grad_norm: 7.7655 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1114 loss: 1.1114 2022/07/24 01:22:52 - mmengine - INFO - Epoch(train) [65][3120/3757] lr: 1.0000e-03 eta: 1 day, 0:31:10 time: 0.5959 data_time: 0.0205 memory: 17350 grad_norm: 7.5192 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0547 loss: 1.0547 2022/07/24 01:23:08 - mmengine - INFO - Epoch(train) [65][3140/3757] lr: 1.0000e-03 eta: 1 day, 0:30:58 time: 0.7679 data_time: 0.0241 memory: 17350 grad_norm: 7.0427 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0382 loss: 1.0382 2022/07/24 01:23:20 - mmengine - INFO - Epoch(train) [65][3160/3757] lr: 1.0000e-03 eta: 1 day, 0:30:43 time: 0.5983 data_time: 0.0581 memory: 17350 grad_norm: 7.5548 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9784 loss: 0.9784 2022/07/24 01:23:34 - mmengine - INFO - Epoch(train) [65][3180/3757] lr: 1.0000e-03 eta: 1 day, 0:30:30 time: 0.6876 data_time: 0.0348 memory: 17350 grad_norm: 7.5673 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1710 loss: 1.1710 2022/07/24 01:23:47 - mmengine - INFO - Epoch(train) [65][3200/3757] lr: 1.0000e-03 eta: 1 day, 0:30:17 time: 0.6497 data_time: 0.1425 memory: 17350 grad_norm: 7.4831 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1087 loss: 1.1087 2022/07/24 01:24:01 - mmengine - INFO - Epoch(train) [65][3220/3757] lr: 1.0000e-03 eta: 1 day, 0:30:04 time: 0.7006 data_time: 0.1140 memory: 17350 grad_norm: 7.3686 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4108 loss: 1.4108 2022/07/24 01:24:13 - mmengine - INFO - Epoch(train) [65][3240/3757] lr: 1.0000e-03 eta: 1 day, 0:29:50 time: 0.6057 data_time: 0.1086 memory: 17350 grad_norm: 7.4683 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1281 loss: 1.1281 2022/07/24 01:24:28 - mmengine - INFO - Epoch(train) [65][3260/3757] lr: 1.0000e-03 eta: 1 day, 0:29:37 time: 0.7373 data_time: 0.0249 memory: 17350 grad_norm: 7.7137 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2191 loss: 1.2191 2022/07/24 01:24:40 - mmengine - INFO - Epoch(train) [65][3280/3757] lr: 1.0000e-03 eta: 1 day, 0:29:23 time: 0.6110 data_time: 0.0226 memory: 17350 grad_norm: 7.7845 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1782 loss: 1.1782 2022/07/24 01:24:54 - mmengine - INFO - Epoch(train) [65][3300/3757] lr: 1.0000e-03 eta: 1 day, 0:29:10 time: 0.7226 data_time: 0.0225 memory: 17350 grad_norm: 7.3559 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4304 loss: 1.4304 2022/07/24 01:25:07 - mmengine - INFO - Epoch(train) [65][3320/3757] lr: 1.0000e-03 eta: 1 day, 0:28:57 time: 0.6446 data_time: 0.0223 memory: 17350 grad_norm: 7.8083 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2558 loss: 1.2558 2022/07/24 01:25:22 - mmengine - INFO - Epoch(train) [65][3340/3757] lr: 1.0000e-03 eta: 1 day, 0:28:44 time: 0.7478 data_time: 0.0253 memory: 17350 grad_norm: 7.4531 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1537 loss: 1.1537 2022/07/24 01:25:34 - mmengine - INFO - Epoch(train) [65][3360/3757] lr: 1.0000e-03 eta: 1 day, 0:28:30 time: 0.5949 data_time: 0.0233 memory: 17350 grad_norm: 7.6709 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3041 loss: 1.3041 2022/07/24 01:25:48 - mmengine - INFO - Epoch(train) [65][3380/3757] lr: 1.0000e-03 eta: 1 day, 0:28:17 time: 0.7160 data_time: 0.0227 memory: 17350 grad_norm: 7.4653 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0549 loss: 1.0549 2022/07/24 01:26:00 - mmengine - INFO - Epoch(train) [65][3400/3757] lr: 1.0000e-03 eta: 1 day, 0:28:03 time: 0.5817 data_time: 0.0227 memory: 17350 grad_norm: 7.3252 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1323 loss: 1.1323 2022/07/24 01:26:14 - mmengine - INFO - Epoch(train) [65][3420/3757] lr: 1.0000e-03 eta: 1 day, 0:27:50 time: 0.6933 data_time: 0.0227 memory: 17350 grad_norm: 7.5149 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1193 loss: 1.1193 2022/07/24 01:26:26 - mmengine - INFO - Epoch(train) [65][3440/3757] lr: 1.0000e-03 eta: 1 day, 0:27:36 time: 0.5825 data_time: 0.0217 memory: 17350 grad_norm: 7.7565 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3251 loss: 1.3251 2022/07/24 01:26:40 - mmengine - INFO - Epoch(train) [65][3460/3757] lr: 1.0000e-03 eta: 1 day, 0:27:23 time: 0.7143 data_time: 0.0217 memory: 17350 grad_norm: 7.6518 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2536 loss: 1.2536 2022/07/24 01:26:52 - mmengine - INFO - Epoch(train) [65][3480/3757] lr: 1.0000e-03 eta: 1 day, 0:27:09 time: 0.6200 data_time: 0.0359 memory: 17350 grad_norm: 7.7854 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1954 loss: 1.1954 2022/07/24 01:27:06 - mmengine - INFO - Epoch(train) [65][3500/3757] lr: 1.0000e-03 eta: 1 day, 0:26:56 time: 0.7025 data_time: 0.0227 memory: 17350 grad_norm: 7.4775 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0599 loss: 1.0599 2022/07/24 01:27:18 - mmengine - INFO - Epoch(train) [65][3520/3757] lr: 1.0000e-03 eta: 1 day, 0:26:42 time: 0.5900 data_time: 0.0225 memory: 17350 grad_norm: 7.4876 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0959 loss: 1.0959 2022/07/24 01:27:32 - mmengine - INFO - Epoch(train) [65][3540/3757] lr: 1.0000e-03 eta: 1 day, 0:26:29 time: 0.7083 data_time: 0.0268 memory: 17350 grad_norm: 7.6332 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0014 loss: 1.0014 2022/07/24 01:27:39 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 01:27:44 - mmengine - INFO - Epoch(train) [65][3560/3757] lr: 1.0000e-03 eta: 1 day, 0:26:15 time: 0.5897 data_time: 0.0228 memory: 17350 grad_norm: 7.8929 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9548 loss: 0.9548 2022/07/24 01:27:59 - mmengine - INFO - Epoch(train) [65][3580/3757] lr: 1.0000e-03 eta: 1 day, 0:26:02 time: 0.7248 data_time: 0.0230 memory: 17350 grad_norm: 7.5512 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1350 loss: 1.1350 2022/07/24 01:28:11 - mmengine - INFO - Epoch(train) [65][3600/3757] lr: 1.0000e-03 eta: 1 day, 0:25:48 time: 0.6285 data_time: 0.0223 memory: 17350 grad_norm: 8.0834 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2557 loss: 1.2557 2022/07/24 01:28:25 - mmengine - INFO - Epoch(train) [65][3620/3757] lr: 1.0000e-03 eta: 1 day, 0:25:35 time: 0.7003 data_time: 0.0253 memory: 17350 grad_norm: 8.0564 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1610 loss: 1.1610 2022/07/24 01:28:38 - mmengine - INFO - Epoch(train) [65][3640/3757] lr: 1.0000e-03 eta: 1 day, 0:25:21 time: 0.6391 data_time: 0.0225 memory: 17350 grad_norm: 7.7719 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2909 loss: 1.2909 2022/07/24 01:28:52 - mmengine - INFO - Epoch(train) [65][3660/3757] lr: 1.0000e-03 eta: 1 day, 0:25:08 time: 0.6973 data_time: 0.0316 memory: 17350 grad_norm: 7.6196 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0750 loss: 1.0750 2022/07/24 01:29:06 - mmengine - INFO - Epoch(train) [65][3680/3757] lr: 1.0000e-03 eta: 1 day, 0:24:55 time: 0.6898 data_time: 0.0379 memory: 17350 grad_norm: 7.4504 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1070 loss: 1.1070 2022/07/24 01:29:21 - mmengine - INFO - Epoch(train) [65][3700/3757] lr: 1.0000e-03 eta: 1 day, 0:24:43 time: 0.7356 data_time: 0.0231 memory: 17350 grad_norm: 7.6300 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9492 loss: 0.9492 2022/07/24 01:29:33 - mmengine - INFO - Epoch(train) [65][3720/3757] lr: 1.0000e-03 eta: 1 day, 0:24:29 time: 0.6208 data_time: 0.0228 memory: 17350 grad_norm: 8.0071 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1449 loss: 1.1449 2022/07/24 01:29:47 - mmengine - INFO - Epoch(train) [65][3740/3757] lr: 1.0000e-03 eta: 1 day, 0:24:16 time: 0.6958 data_time: 0.0237 memory: 17350 grad_norm: 7.6234 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2503 loss: 1.2503 2022/07/24 01:29:54 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 01:29:54 - mmengine - INFO - Epoch(train) [65][3757/3757] lr: 1.0000e-03 eta: 1 day, 0:24:16 time: 0.5184 data_time: 0.0219 memory: 17350 grad_norm: 7.8279 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.1695 loss: 1.1695 2022/07/24 01:29:54 - mmengine - INFO - Saving checkpoint at 65 epochs 2022/07/24 01:30:14 - mmengine - INFO - Epoch(val) [65][20/310] eta: 0:04:05 time: 0.8461 data_time: 0.7334 memory: 3406 2022/07/24 01:30:24 - mmengine - INFO - Epoch(val) [65][40/310] eta: 0:02:25 time: 0.5382 data_time: 0.4232 memory: 3406 2022/07/24 01:30:40 - mmengine - INFO - Epoch(val) [65][60/310] eta: 0:03:10 time: 0.7610 data_time: 0.6469 memory: 3406 2022/07/24 01:30:51 - mmengine - INFO - Epoch(val) [65][80/310] eta: 0:02:13 time: 0.5817 data_time: 0.4668 memory: 3406 2022/07/24 01:31:07 - mmengine - INFO - Epoch(val) [65][100/310] eta: 0:02:42 time: 0.7741 data_time: 0.6595 memory: 3406 2022/07/24 01:31:18 - mmengine - INFO - Epoch(val) [65][120/310] eta: 0:01:45 time: 0.5572 data_time: 0.4435 memory: 3406 2022/07/24 01:31:33 - mmengine - INFO - Epoch(val) [65][140/310] eta: 0:02:09 time: 0.7596 data_time: 0.6455 memory: 3406 2022/07/24 01:31:44 - mmengine - INFO - Epoch(val) [65][160/310] eta: 0:01:18 time: 0.5245 data_time: 0.4093 memory: 3406 2022/07/24 01:32:00 - mmengine - INFO - Epoch(val) [65][180/310] eta: 0:01:43 time: 0.7992 data_time: 0.6855 memory: 3406 2022/07/24 01:32:11 - mmengine - INFO - Epoch(val) [65][200/310] eta: 0:01:00 time: 0.5528 data_time: 0.4390 memory: 3406 2022/07/24 01:32:25 - mmengine - INFO - Epoch(val) [65][220/310] eta: 0:01:05 time: 0.7223 data_time: 0.6093 memory: 3406 2022/07/24 01:32:36 - mmengine - INFO - Epoch(val) [65][240/310] eta: 0:00:40 time: 0.5717 data_time: 0.4594 memory: 3406 2022/07/24 01:32:52 - mmengine - INFO - Epoch(val) [65][260/310] eta: 0:00:39 time: 0.7968 data_time: 0.6832 memory: 3406 2022/07/24 01:33:03 - mmengine - INFO - Epoch(val) [65][280/310] eta: 0:00:16 time: 0.5369 data_time: 0.4242 memory: 3406 2022/07/24 01:33:17 - mmengine - INFO - Epoch(val) [65][300/310] eta: 0:00:06 time: 0.6859 data_time: 0.5720 memory: 3406 2022/07/24 01:33:21 - mmengine - INFO - Epoch(val) [65][310/310] acc/top1: 0.6808 acc/top5: 0.8731 acc/mean1: 0.6808 2022/07/24 01:33:21 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_65.pth is removed 2022/07/24 01:33:23 - mmengine - INFO - The best checkpoint with 0.6808 acc/top1 at 66 epoch is saved to best_acc/top1_epoch_66.pth. 2022/07/24 01:33:41 - mmengine - INFO - Epoch(train) [66][20/3757] lr: 1.0000e-03 eta: 1 day, 0:23:47 time: 0.9183 data_time: 0.5763 memory: 17350 grad_norm: 7.4898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0447 loss: 1.0447 2022/07/24 01:33:52 - mmengine - INFO - Epoch(train) [66][40/3757] lr: 1.0000e-03 eta: 1 day, 0:23:33 time: 0.5737 data_time: 0.2390 memory: 17350 grad_norm: 7.9156 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1394 loss: 1.1394 2022/07/24 01:34:07 - mmengine - INFO - Epoch(train) [66][60/3757] lr: 1.0000e-03 eta: 1 day, 0:23:20 time: 0.7126 data_time: 0.3813 memory: 17350 grad_norm: 7.4669 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2359 loss: 1.2359 2022/07/24 01:34:19 - mmengine - INFO - Epoch(train) [66][80/3757] lr: 1.0000e-03 eta: 1 day, 0:23:06 time: 0.6200 data_time: 0.2876 memory: 17350 grad_norm: 7.3476 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0576 loss: 1.0576 2022/07/24 01:34:34 - mmengine - INFO - Epoch(train) [66][100/3757] lr: 1.0000e-03 eta: 1 day, 0:22:54 time: 0.7299 data_time: 0.4022 memory: 17350 grad_norm: 7.4292 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9127 loss: 0.9127 2022/07/24 01:34:45 - mmengine - INFO - Epoch(train) [66][120/3757] lr: 1.0000e-03 eta: 1 day, 0:22:39 time: 0.5883 data_time: 0.2625 memory: 17350 grad_norm: 7.5898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1446 loss: 1.1446 2022/07/24 01:35:00 - mmengine - INFO - Epoch(train) [66][140/3757] lr: 1.0000e-03 eta: 1 day, 0:22:27 time: 0.7181 data_time: 0.3376 memory: 17350 grad_norm: 7.5673 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1086 loss: 1.1086 2022/07/24 01:35:14 - mmengine - INFO - Epoch(train) [66][160/3757] lr: 1.0000e-03 eta: 1 day, 0:22:13 time: 0.6858 data_time: 0.3438 memory: 17350 grad_norm: 7.4009 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1985 loss: 1.1985 2022/07/24 01:35:27 - mmengine - INFO - Epoch(train) [66][180/3757] lr: 1.0000e-03 eta: 1 day, 0:22:00 time: 0.6759 data_time: 0.1850 memory: 17350 grad_norm: 7.2630 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9885 loss: 0.9885 2022/07/24 01:35:39 - mmengine - INFO - Epoch(train) [66][200/3757] lr: 1.0000e-03 eta: 1 day, 0:21:46 time: 0.6181 data_time: 0.1358 memory: 17350 grad_norm: 7.2884 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9921 loss: 0.9921 2022/07/24 01:35:53 - mmengine - INFO - Epoch(train) [66][220/3757] lr: 1.0000e-03 eta: 1 day, 0:21:33 time: 0.6903 data_time: 0.1196 memory: 17350 grad_norm: 7.6776 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3154 loss: 1.3154 2022/07/24 01:36:06 - mmengine - INFO - Epoch(train) [66][240/3757] lr: 1.0000e-03 eta: 1 day, 0:21:20 time: 0.6560 data_time: 0.1847 memory: 17350 grad_norm: 7.4444 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2021 loss: 1.2021 2022/07/24 01:36:20 - mmengine - INFO - Epoch(train) [66][260/3757] lr: 1.0000e-03 eta: 1 day, 0:21:07 time: 0.6964 data_time: 0.1024 memory: 17350 grad_norm: 7.7682 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1159 loss: 1.1159 2022/07/24 01:36:34 - mmengine - INFO - Epoch(train) [66][280/3757] lr: 1.0000e-03 eta: 1 day, 0:20:53 time: 0.6801 data_time: 0.0467 memory: 17350 grad_norm: 7.7124 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3412 loss: 1.3412 2022/07/24 01:36:47 - mmengine - INFO - Epoch(train) [66][300/3757] lr: 1.0000e-03 eta: 1 day, 0:20:40 time: 0.6543 data_time: 0.0219 memory: 17350 grad_norm: 7.7589 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2544 loss: 1.2544 2022/07/24 01:37:01 - mmengine - INFO - Epoch(train) [66][320/3757] lr: 1.0000e-03 eta: 1 day, 0:20:26 time: 0.6710 data_time: 0.0374 memory: 17350 grad_norm: 7.9118 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3721 loss: 1.3721 2022/07/24 01:37:14 - mmengine - INFO - Epoch(train) [66][340/3757] lr: 1.0000e-03 eta: 1 day, 0:20:13 time: 0.6806 data_time: 0.0652 memory: 17350 grad_norm: 7.3468 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2193 loss: 1.2193 2022/07/24 01:37:27 - mmengine - INFO - Epoch(train) [66][360/3757] lr: 1.0000e-03 eta: 1 day, 0:20:00 time: 0.6656 data_time: 0.0899 memory: 17350 grad_norm: 7.5637 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2379 loss: 1.2379 2022/07/24 01:37:40 - mmengine - INFO - Epoch(train) [66][380/3757] lr: 1.0000e-03 eta: 1 day, 0:19:46 time: 0.6493 data_time: 0.0415 memory: 17350 grad_norm: 7.7066 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1717 loss: 1.1717 2022/07/24 01:37:56 - mmengine - INFO - Epoch(train) [66][400/3757] lr: 1.0000e-03 eta: 1 day, 0:19:34 time: 0.7621 data_time: 0.0244 memory: 17350 grad_norm: 7.5184 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3509 loss: 1.3509 2022/07/24 01:38:08 - mmengine - INFO - Epoch(train) [66][420/3757] lr: 1.0000e-03 eta: 1 day, 0:19:20 time: 0.5899 data_time: 0.0231 memory: 17350 grad_norm: 7.4593 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3307 loss: 1.3307 2022/07/24 01:38:22 - mmengine - INFO - Epoch(train) [66][440/3757] lr: 1.0000e-03 eta: 1 day, 0:19:07 time: 0.7083 data_time: 0.0211 memory: 17350 grad_norm: 7.1602 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9621 loss: 0.9621 2022/07/24 01:38:34 - mmengine - INFO - Epoch(train) [66][460/3757] lr: 1.0000e-03 eta: 1 day, 0:18:53 time: 0.6303 data_time: 0.0219 memory: 17350 grad_norm: 7.4588 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2093 loss: 1.2093 2022/07/24 01:38:49 - mmengine - INFO - Epoch(train) [66][480/3757] lr: 1.0000e-03 eta: 1 day, 0:18:40 time: 0.7319 data_time: 0.0234 memory: 17350 grad_norm: 7.6273 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1795 loss: 1.1795 2022/07/24 01:39:01 - mmengine - INFO - Epoch(train) [66][500/3757] lr: 1.0000e-03 eta: 1 day, 0:18:26 time: 0.6133 data_time: 0.0238 memory: 17350 grad_norm: 7.6007 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3110 loss: 1.3110 2022/07/24 01:39:16 - mmengine - INFO - Epoch(train) [66][520/3757] lr: 1.0000e-03 eta: 1 day, 0:18:14 time: 0.7251 data_time: 0.0259 memory: 17350 grad_norm: 7.1334 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0963 loss: 1.0963 2022/07/24 01:39:28 - mmengine - INFO - Epoch(train) [66][540/3757] lr: 1.0000e-03 eta: 1 day, 0:18:00 time: 0.5952 data_time: 0.0231 memory: 17350 grad_norm: 7.3842 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0937 loss: 1.0937 2022/07/24 01:39:42 - mmengine - INFO - Epoch(train) [66][560/3757] lr: 1.0000e-03 eta: 1 day, 0:17:46 time: 0.6907 data_time: 0.0227 memory: 17350 grad_norm: 7.5110 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2541 loss: 1.2541 2022/07/24 01:39:54 - mmengine - INFO - Epoch(train) [66][580/3757] lr: 1.0000e-03 eta: 1 day, 0:17:32 time: 0.6083 data_time: 0.0252 memory: 17350 grad_norm: 7.3603 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1435 loss: 1.1435 2022/07/24 01:40:09 - mmengine - INFO - Epoch(train) [66][600/3757] lr: 1.0000e-03 eta: 1 day, 0:17:20 time: 0.7637 data_time: 0.0241 memory: 17350 grad_norm: 7.7456 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0718 loss: 1.0718 2022/07/24 01:40:21 - mmengine - INFO - Epoch(train) [66][620/3757] lr: 1.0000e-03 eta: 1 day, 0:17:06 time: 0.6097 data_time: 0.0250 memory: 17350 grad_norm: 7.5574 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3566 loss: 1.3566 2022/07/24 01:40:36 - mmengine - INFO - Epoch(train) [66][640/3757] lr: 1.0000e-03 eta: 1 day, 0:16:53 time: 0.7211 data_time: 0.0227 memory: 17350 grad_norm: 7.4818 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1687 loss: 1.1687 2022/07/24 01:40:48 - mmengine - INFO - Epoch(train) [66][660/3757] lr: 1.0000e-03 eta: 1 day, 0:16:39 time: 0.6184 data_time: 0.0234 memory: 17350 grad_norm: 7.4545 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1418 loss: 1.1418 2022/07/24 01:41:02 - mmengine - INFO - Epoch(train) [66][680/3757] lr: 1.0000e-03 eta: 1 day, 0:16:27 time: 0.7128 data_time: 0.0231 memory: 17350 grad_norm: 7.3576 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0592 loss: 1.0592 2022/07/24 01:41:14 - mmengine - INFO - Epoch(train) [66][700/3757] lr: 1.0000e-03 eta: 1 day, 0:16:12 time: 0.5911 data_time: 0.0228 memory: 17350 grad_norm: 7.8531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1051 loss: 1.1051 2022/07/24 01:41:29 - mmengine - INFO - Epoch(train) [66][720/3757] lr: 1.0000e-03 eta: 1 day, 0:16:00 time: 0.7429 data_time: 0.0219 memory: 17350 grad_norm: 7.6720 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1493 loss: 1.1493 2022/07/24 01:41:41 - mmengine - INFO - Epoch(train) [66][740/3757] lr: 1.0000e-03 eta: 1 day, 0:15:46 time: 0.5976 data_time: 0.0229 memory: 17350 grad_norm: 7.4407 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0654 loss: 1.0654 2022/07/24 01:41:56 - mmengine - INFO - Epoch(train) [66][760/3757] lr: 1.0000e-03 eta: 1 day, 0:15:33 time: 0.7325 data_time: 0.0220 memory: 17350 grad_norm: 7.7415 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1215 loss: 1.1215 2022/07/24 01:42:07 - mmengine - INFO - Epoch(train) [66][780/3757] lr: 1.0000e-03 eta: 1 day, 0:15:19 time: 0.5603 data_time: 0.0224 memory: 17350 grad_norm: 7.9860 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4366 loss: 1.4366 2022/07/24 01:42:18 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 01:42:22 - mmengine - INFO - Epoch(train) [66][800/3757] lr: 1.0000e-03 eta: 1 day, 0:15:06 time: 0.7503 data_time: 0.0257 memory: 17350 grad_norm: 7.5282 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1977 loss: 1.1977 2022/07/24 01:42:34 - mmengine - INFO - Epoch(train) [66][820/3757] lr: 1.0000e-03 eta: 1 day, 0:14:52 time: 0.6195 data_time: 0.0225 memory: 17350 grad_norm: 8.0096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3542 loss: 1.3542 2022/07/24 01:42:49 - mmengine - INFO - Epoch(train) [66][840/3757] lr: 1.0000e-03 eta: 1 day, 0:14:40 time: 0.7406 data_time: 0.0216 memory: 17350 grad_norm: 7.4182 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1740 loss: 1.1740 2022/07/24 01:43:01 - mmengine - INFO - Epoch(train) [66][860/3757] lr: 1.0000e-03 eta: 1 day, 0:14:25 time: 0.5972 data_time: 0.0230 memory: 17350 grad_norm: 7.6615 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0558 loss: 1.0558 2022/07/24 01:43:16 - mmengine - INFO - Epoch(train) [66][880/3757] lr: 1.0000e-03 eta: 1 day, 0:14:13 time: 0.7443 data_time: 0.0212 memory: 17350 grad_norm: 7.6562 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3127 loss: 1.3127 2022/07/24 01:43:28 - mmengine - INFO - Epoch(train) [66][900/3757] lr: 1.0000e-03 eta: 1 day, 0:13:59 time: 0.5867 data_time: 0.0228 memory: 17350 grad_norm: 7.6184 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9448 loss: 0.9448 2022/07/24 01:43:42 - mmengine - INFO - Epoch(train) [66][920/3757] lr: 1.0000e-03 eta: 1 day, 0:13:46 time: 0.7044 data_time: 0.0206 memory: 17350 grad_norm: 7.6132 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3049 loss: 1.3049 2022/07/24 01:43:54 - mmengine - INFO - Epoch(train) [66][940/3757] lr: 1.0000e-03 eta: 1 day, 0:13:32 time: 0.5884 data_time: 0.0219 memory: 17350 grad_norm: 7.5071 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0333 loss: 1.0333 2022/07/24 01:44:08 - mmengine - INFO - Epoch(train) [66][960/3757] lr: 1.0000e-03 eta: 1 day, 0:13:19 time: 0.7303 data_time: 0.0214 memory: 17350 grad_norm: 7.6858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0521 loss: 1.0521 2022/07/24 01:44:20 - mmengine - INFO - Epoch(train) [66][980/3757] lr: 1.0000e-03 eta: 1 day, 0:13:05 time: 0.5872 data_time: 0.0248 memory: 17350 grad_norm: 7.6039 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1323 loss: 1.1323 2022/07/24 01:44:34 - mmengine - INFO - Epoch(train) [66][1000/3757] lr: 1.0000e-03 eta: 1 day, 0:12:52 time: 0.6943 data_time: 0.0227 memory: 17350 grad_norm: 7.2387 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1507 loss: 1.1507 2022/07/24 01:44:46 - mmengine - INFO - Epoch(train) [66][1020/3757] lr: 1.0000e-03 eta: 1 day, 0:12:38 time: 0.6132 data_time: 0.0236 memory: 17350 grad_norm: 7.6868 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2786 loss: 1.2786 2022/07/24 01:44:59 - mmengine - INFO - Epoch(train) [66][1040/3757] lr: 1.0000e-03 eta: 1 day, 0:12:24 time: 0.6494 data_time: 0.0421 memory: 17350 grad_norm: 7.6973 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9570 loss: 0.9570 2022/07/24 01:45:14 - mmengine - INFO - Epoch(train) [66][1060/3757] lr: 1.0000e-03 eta: 1 day, 0:12:11 time: 0.7204 data_time: 0.1011 memory: 17350 grad_norm: 7.6433 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1650 loss: 1.1650 2022/07/24 01:45:27 - mmengine - INFO - Epoch(train) [66][1080/3757] lr: 1.0000e-03 eta: 1 day, 0:11:58 time: 0.6682 data_time: 0.0222 memory: 17350 grad_norm: 7.3982 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8735 loss: 0.8735 2022/07/24 01:45:40 - mmengine - INFO - Epoch(train) [66][1100/3757] lr: 1.0000e-03 eta: 1 day, 0:11:44 time: 0.6614 data_time: 0.0228 memory: 17350 grad_norm: 7.4845 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9803 loss: 0.9803 2022/07/24 01:45:55 - mmengine - INFO - Epoch(train) [66][1120/3757] lr: 1.0000e-03 eta: 1 day, 0:11:32 time: 0.7310 data_time: 0.0238 memory: 17350 grad_norm: 7.5554 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1504 loss: 1.1504 2022/07/24 01:46:08 - mmengine - INFO - Epoch(train) [66][1140/3757] lr: 1.0000e-03 eta: 1 day, 0:11:18 time: 0.6379 data_time: 0.0252 memory: 17350 grad_norm: 7.4668 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0687 loss: 1.0687 2022/07/24 01:46:22 - mmengine - INFO - Epoch(train) [66][1160/3757] lr: 1.0000e-03 eta: 1 day, 0:11:05 time: 0.7056 data_time: 0.0307 memory: 17350 grad_norm: 7.6092 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2858 loss: 1.2858 2022/07/24 01:46:34 - mmengine - INFO - Epoch(train) [66][1180/3757] lr: 1.0000e-03 eta: 1 day, 0:10:51 time: 0.6058 data_time: 0.1086 memory: 17350 grad_norm: 7.5728 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2335 loss: 1.2335 2022/07/24 01:46:48 - mmengine - INFO - Epoch(train) [66][1200/3757] lr: 1.0000e-03 eta: 1 day, 0:10:38 time: 0.6884 data_time: 0.2276 memory: 17350 grad_norm: 7.8381 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3989 loss: 1.3989 2022/07/24 01:47:00 - mmengine - INFO - Epoch(train) [66][1220/3757] lr: 1.0000e-03 eta: 1 day, 0:10:24 time: 0.6282 data_time: 0.2160 memory: 17350 grad_norm: 7.7702 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9637 loss: 0.9637 2022/07/24 01:47:15 - mmengine - INFO - Epoch(train) [66][1240/3757] lr: 1.0000e-03 eta: 1 day, 0:10:12 time: 0.7477 data_time: 0.4014 memory: 17350 grad_norm: 7.6499 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2827 loss: 1.2827 2022/07/24 01:47:27 - mmengine - INFO - Epoch(train) [66][1260/3757] lr: 1.0000e-03 eta: 1 day, 0:09:58 time: 0.5985 data_time: 0.2481 memory: 17350 grad_norm: 7.5868 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3997 loss: 1.3997 2022/07/24 01:47:42 - mmengine - INFO - Epoch(train) [66][1280/3757] lr: 1.0000e-03 eta: 1 day, 0:09:45 time: 0.7199 data_time: 0.3084 memory: 17350 grad_norm: 7.4598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9957 loss: 0.9957 2022/07/24 01:47:53 - mmengine - INFO - Epoch(train) [66][1300/3757] lr: 1.0000e-03 eta: 1 day, 0:09:31 time: 0.5924 data_time: 0.2230 memory: 17350 grad_norm: 7.4568 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9421 loss: 0.9421 2022/07/24 01:48:08 - mmengine - INFO - Epoch(train) [66][1320/3757] lr: 1.0000e-03 eta: 1 day, 0:09:18 time: 0.7224 data_time: 0.1936 memory: 17350 grad_norm: 7.6863 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0606 loss: 1.0606 2022/07/24 01:48:20 - mmengine - INFO - Epoch(train) [66][1340/3757] lr: 1.0000e-03 eta: 1 day, 0:09:04 time: 0.6229 data_time: 0.1236 memory: 17350 grad_norm: 7.8287 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9826 loss: 0.9826 2022/07/24 01:48:36 - mmengine - INFO - Epoch(train) [66][1360/3757] lr: 1.0000e-03 eta: 1 day, 0:08:52 time: 0.7797 data_time: 0.2031 memory: 17350 grad_norm: 7.6348 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9913 loss: 0.9913 2022/07/24 01:48:48 - mmengine - INFO - Epoch(train) [66][1380/3757] lr: 1.0000e-03 eta: 1 day, 0:08:37 time: 0.5745 data_time: 0.1093 memory: 17350 grad_norm: 7.4204 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2719 loss: 1.2719 2022/07/24 01:49:02 - mmengine - INFO - Epoch(train) [66][1400/3757] lr: 1.0000e-03 eta: 1 day, 0:08:24 time: 0.7055 data_time: 0.1199 memory: 17350 grad_norm: 7.7805 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1612 loss: 1.1612 2022/07/24 01:49:15 - mmengine - INFO - Epoch(train) [66][1420/3757] lr: 1.0000e-03 eta: 1 day, 0:08:11 time: 0.6445 data_time: 0.0243 memory: 17350 grad_norm: 7.6666 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3164 loss: 1.3164 2022/07/24 01:49:28 - mmengine - INFO - Epoch(train) [66][1440/3757] lr: 1.0000e-03 eta: 1 day, 0:07:58 time: 0.6940 data_time: 0.0285 memory: 17350 grad_norm: 7.8571 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3427 loss: 1.3427 2022/07/24 01:49:42 - mmengine - INFO - Epoch(train) [66][1460/3757] lr: 1.0000e-03 eta: 1 day, 0:07:44 time: 0.6597 data_time: 0.0229 memory: 17350 grad_norm: 7.5990 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2832 loss: 1.2832 2022/07/24 01:49:56 - mmengine - INFO - Epoch(train) [66][1480/3757] lr: 1.0000e-03 eta: 1 day, 0:07:31 time: 0.7173 data_time: 0.0239 memory: 17350 grad_norm: 7.5473 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1334 loss: 1.1334 2022/07/24 01:50:08 - mmengine - INFO - Epoch(train) [66][1500/3757] lr: 1.0000e-03 eta: 1 day, 0:07:17 time: 0.6031 data_time: 0.0212 memory: 17350 grad_norm: 7.7802 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2693 loss: 1.2693 2022/07/24 01:50:23 - mmengine - INFO - Epoch(train) [66][1520/3757] lr: 1.0000e-03 eta: 1 day, 0:07:05 time: 0.7298 data_time: 0.0544 memory: 17350 grad_norm: 7.5368 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3439 loss: 1.3439 2022/07/24 01:50:36 - mmengine - INFO - Epoch(train) [66][1540/3757] lr: 1.0000e-03 eta: 1 day, 0:06:51 time: 0.6399 data_time: 0.0216 memory: 17350 grad_norm: 7.7681 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1719 loss: 1.1719 2022/07/24 01:50:49 - mmengine - INFO - Epoch(train) [66][1560/3757] lr: 1.0000e-03 eta: 1 day, 0:06:38 time: 0.6534 data_time: 0.0248 memory: 17350 grad_norm: 7.6426 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3115 loss: 1.3115 2022/07/24 01:51:03 - mmengine - INFO - Epoch(train) [66][1580/3757] lr: 1.0000e-03 eta: 1 day, 0:06:24 time: 0.6957 data_time: 0.0226 memory: 17350 grad_norm: 7.9710 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2399 loss: 1.2399 2022/07/24 01:51:15 - mmengine - INFO - Epoch(train) [66][1600/3757] lr: 1.0000e-03 eta: 1 day, 0:06:11 time: 0.6345 data_time: 0.0238 memory: 17350 grad_norm: 7.6674 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2513 loss: 1.2513 2022/07/24 01:51:30 - mmengine - INFO - Epoch(train) [66][1620/3757] lr: 1.0000e-03 eta: 1 day, 0:05:58 time: 0.7475 data_time: 0.0217 memory: 17350 grad_norm: 7.7379 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1337 loss: 1.1337 2022/07/24 01:51:42 - mmengine - INFO - Epoch(train) [66][1640/3757] lr: 1.0000e-03 eta: 1 day, 0:05:44 time: 0.6131 data_time: 0.0251 memory: 17350 grad_norm: 7.9835 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2643 loss: 1.2643 2022/07/24 01:51:58 - mmengine - INFO - Epoch(train) [66][1660/3757] lr: 1.0000e-03 eta: 1 day, 0:05:32 time: 0.7678 data_time: 0.0215 memory: 17350 grad_norm: 7.5874 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3622 loss: 1.3622 2022/07/24 01:52:10 - mmengine - INFO - Epoch(train) [66][1680/3757] lr: 1.0000e-03 eta: 1 day, 0:05:18 time: 0.6002 data_time: 0.0245 memory: 17350 grad_norm: 7.2376 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8658 loss: 0.8658 2022/07/24 01:52:24 - mmengine - INFO - Epoch(train) [66][1700/3757] lr: 1.0000e-03 eta: 1 day, 0:05:05 time: 0.6983 data_time: 0.0262 memory: 17350 grad_norm: 7.4705 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2000 loss: 1.2000 2022/07/24 01:52:36 - mmengine - INFO - Epoch(train) [66][1720/3757] lr: 1.0000e-03 eta: 1 day, 0:04:51 time: 0.5973 data_time: 0.0260 memory: 17350 grad_norm: 7.8882 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.1318 loss: 1.1318 2022/07/24 01:52:50 - mmengine - INFO - Epoch(train) [66][1740/3757] lr: 1.0000e-03 eta: 1 day, 0:04:38 time: 0.7304 data_time: 0.0211 memory: 17350 grad_norm: 7.6722 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9437 loss: 0.9437 2022/07/24 01:53:02 - mmengine - INFO - Epoch(train) [66][1760/3757] lr: 1.0000e-03 eta: 1 day, 0:04:24 time: 0.5598 data_time: 0.0250 memory: 17350 grad_norm: 7.7498 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1062 loss: 1.1062 2022/07/24 01:53:15 - mmengine - INFO - Epoch(train) [66][1780/3757] lr: 1.0000e-03 eta: 1 day, 0:04:10 time: 0.6788 data_time: 0.0210 memory: 17350 grad_norm: 7.5431 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0761 loss: 1.0761 2022/07/24 01:53:24 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 01:53:28 - mmengine - INFO - Epoch(train) [66][1800/3757] lr: 1.0000e-03 eta: 1 day, 0:03:57 time: 0.6624 data_time: 0.0613 memory: 17350 grad_norm: 7.4617 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0774 loss: 1.0774 2022/07/24 01:53:42 - mmengine - INFO - Epoch(train) [66][1820/3757] lr: 1.0000e-03 eta: 1 day, 0:03:44 time: 0.6651 data_time: 0.1657 memory: 17350 grad_norm: 7.6019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1907 loss: 1.1907 2022/07/24 01:53:56 - mmengine - INFO - Epoch(train) [66][1840/3757] lr: 1.0000e-03 eta: 1 day, 0:03:30 time: 0.6857 data_time: 0.2694 memory: 17350 grad_norm: 7.4560 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1472 loss: 1.1472 2022/07/24 01:54:09 - mmengine - INFO - Epoch(train) [66][1860/3757] lr: 1.0000e-03 eta: 1 day, 0:03:17 time: 0.6620 data_time: 0.1059 memory: 17350 grad_norm: 7.6176 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1344 loss: 1.1344 2022/07/24 01:54:22 - mmengine - INFO - Epoch(train) [66][1880/3757] lr: 1.0000e-03 eta: 1 day, 0:03:03 time: 0.6386 data_time: 0.0317 memory: 17350 grad_norm: 7.5569 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1337 loss: 1.1337 2022/07/24 01:54:36 - mmengine - INFO - Epoch(train) [66][1900/3757] lr: 1.0000e-03 eta: 1 day, 0:02:50 time: 0.6989 data_time: 0.0220 memory: 17350 grad_norm: 7.6264 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3012 loss: 1.3012 2022/07/24 01:54:49 - mmengine - INFO - Epoch(train) [66][1920/3757] lr: 1.0000e-03 eta: 1 day, 0:02:37 time: 0.6735 data_time: 0.0251 memory: 17350 grad_norm: 7.4479 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1512 loss: 1.1512 2022/07/24 01:55:03 - mmengine - INFO - Epoch(train) [66][1940/3757] lr: 1.0000e-03 eta: 1 day, 0:02:24 time: 0.6761 data_time: 0.0208 memory: 17350 grad_norm: 7.8517 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4018 loss: 1.4018 2022/07/24 01:55:15 - mmengine - INFO - Epoch(train) [66][1960/3757] lr: 1.0000e-03 eta: 1 day, 0:02:10 time: 0.6429 data_time: 0.0270 memory: 17350 grad_norm: 7.3615 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9533 loss: 0.9533 2022/07/24 01:55:30 - mmengine - INFO - Epoch(train) [66][1980/3757] lr: 1.0000e-03 eta: 1 day, 0:01:57 time: 0.7224 data_time: 0.0230 memory: 17350 grad_norm: 7.6777 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0415 loss: 1.0415 2022/07/24 01:55:42 - mmengine - INFO - Epoch(train) [66][2000/3757] lr: 1.0000e-03 eta: 1 day, 0:01:43 time: 0.6035 data_time: 0.0238 memory: 17350 grad_norm: 7.8528 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2174 loss: 1.2174 2022/07/24 01:55:57 - mmengine - INFO - Epoch(train) [66][2020/3757] lr: 1.0000e-03 eta: 1 day, 0:01:30 time: 0.7315 data_time: 0.0267 memory: 17350 grad_norm: 7.6314 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3012 loss: 1.3012 2022/07/24 01:56:09 - mmengine - INFO - Epoch(train) [66][2040/3757] lr: 1.0000e-03 eta: 1 day, 0:01:17 time: 0.6146 data_time: 0.0225 memory: 17350 grad_norm: 8.0638 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0215 loss: 1.0215 2022/07/24 01:56:23 - mmengine - INFO - Epoch(train) [66][2060/3757] lr: 1.0000e-03 eta: 1 day, 0:01:03 time: 0.6965 data_time: 0.0259 memory: 17350 grad_norm: 7.7433 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9512 loss: 0.9512 2022/07/24 01:56:36 - mmengine - INFO - Epoch(train) [66][2080/3757] lr: 1.0000e-03 eta: 1 day, 0:00:50 time: 0.6447 data_time: 0.0236 memory: 17350 grad_norm: 7.8164 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2466 loss: 1.2466 2022/07/24 01:56:50 - mmengine - INFO - Epoch(train) [66][2100/3757] lr: 1.0000e-03 eta: 1 day, 0:00:37 time: 0.7140 data_time: 0.0222 memory: 17350 grad_norm: 7.5673 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1986 loss: 1.1986 2022/07/24 01:57:03 - mmengine - INFO - Epoch(train) [66][2120/3757] lr: 1.0000e-03 eta: 1 day, 0:00:23 time: 0.6356 data_time: 0.0235 memory: 17350 grad_norm: 7.7740 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1240 loss: 1.1240 2022/07/24 01:57:17 - mmengine - INFO - Epoch(train) [66][2140/3757] lr: 1.0000e-03 eta: 1 day, 0:00:11 time: 0.7287 data_time: 0.0244 memory: 17350 grad_norm: 7.9349 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2281 loss: 1.2281 2022/07/24 01:57:29 - mmengine - INFO - Epoch(train) [66][2160/3757] lr: 1.0000e-03 eta: 23:59:57 time: 0.5995 data_time: 0.0233 memory: 17350 grad_norm: 7.3965 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0839 loss: 1.0839 2022/07/24 01:57:44 - mmengine - INFO - Epoch(train) [66][2180/3757] lr: 1.0000e-03 eta: 23:59:44 time: 0.7294 data_time: 0.0253 memory: 17350 grad_norm: 7.4160 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1235 loss: 1.1235 2022/07/24 01:57:57 - mmengine - INFO - Epoch(train) [66][2200/3757] lr: 1.0000e-03 eta: 23:59:30 time: 0.6331 data_time: 0.0234 memory: 17350 grad_norm: 7.1852 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9216 loss: 0.9216 2022/07/24 01:58:10 - mmengine - INFO - Epoch(train) [66][2220/3757] lr: 1.0000e-03 eta: 23:59:17 time: 0.6804 data_time: 0.0215 memory: 17350 grad_norm: 7.4149 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3767 loss: 1.3767 2022/07/24 01:58:24 - mmengine - INFO - Epoch(train) [66][2240/3757] lr: 1.0000e-03 eta: 23:59:03 time: 0.6645 data_time: 0.0247 memory: 17350 grad_norm: 7.5508 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0713 loss: 1.0713 2022/07/24 01:58:38 - mmengine - INFO - Epoch(train) [66][2260/3757] lr: 1.0000e-03 eta: 23:58:50 time: 0.7041 data_time: 0.0227 memory: 17350 grad_norm: 7.6575 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9177 loss: 0.9177 2022/07/24 01:58:49 - mmengine - INFO - Epoch(train) [66][2280/3757] lr: 1.0000e-03 eta: 23:58:36 time: 0.5750 data_time: 0.0234 memory: 17350 grad_norm: 7.6329 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2295 loss: 1.2295 2022/07/24 01:59:04 - mmengine - INFO - Epoch(train) [66][2300/3757] lr: 1.0000e-03 eta: 23:58:24 time: 0.7468 data_time: 0.0254 memory: 17350 grad_norm: 7.6416 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8477 loss: 0.8477 2022/07/24 01:59:17 - mmengine - INFO - Epoch(train) [66][2320/3757] lr: 1.0000e-03 eta: 23:58:10 time: 0.6478 data_time: 0.0250 memory: 17350 grad_norm: 7.6129 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1803 loss: 1.1803 2022/07/24 01:59:31 - mmengine - INFO - Epoch(train) [66][2340/3757] lr: 1.0000e-03 eta: 23:57:57 time: 0.6993 data_time: 0.0229 memory: 17350 grad_norm: 7.6160 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3468 loss: 1.3468 2022/07/24 01:59:43 - mmengine - INFO - Epoch(train) [66][2360/3757] lr: 1.0000e-03 eta: 23:57:43 time: 0.6008 data_time: 0.0253 memory: 17350 grad_norm: 7.8002 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1846 loss: 1.1846 2022/07/24 01:59:58 - mmengine - INFO - Epoch(train) [66][2380/3757] lr: 1.0000e-03 eta: 23:57:30 time: 0.7341 data_time: 0.0215 memory: 17350 grad_norm: 7.5805 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2021 loss: 1.2021 2022/07/24 02:00:10 - mmengine - INFO - Epoch(train) [66][2400/3757] lr: 1.0000e-03 eta: 23:57:17 time: 0.6308 data_time: 0.0249 memory: 17350 grad_norm: 7.4136 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9898 loss: 0.9898 2022/07/24 02:00:27 - mmengine - INFO - Epoch(train) [66][2420/3757] lr: 1.0000e-03 eta: 23:57:05 time: 0.8061 data_time: 0.0443 memory: 17350 grad_norm: 7.7390 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1547 loss: 1.1547 2022/07/24 02:00:38 - mmengine - INFO - Epoch(train) [66][2440/3757] lr: 1.0000e-03 eta: 23:56:50 time: 0.5672 data_time: 0.0250 memory: 17350 grad_norm: 7.4083 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1099 loss: 1.1099 2022/07/24 02:00:54 - mmengine - INFO - Epoch(train) [66][2460/3757] lr: 1.0000e-03 eta: 23:56:38 time: 0.7764 data_time: 0.0222 memory: 17350 grad_norm: 7.7396 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0982 loss: 1.0982 2022/07/24 02:01:04 - mmengine - INFO - Epoch(train) [66][2480/3757] lr: 1.0000e-03 eta: 23:56:23 time: 0.5400 data_time: 0.0243 memory: 17350 grad_norm: 7.6893 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1180 loss: 1.1180 2022/07/24 02:01:18 - mmengine - INFO - Epoch(train) [66][2500/3757] lr: 1.0000e-03 eta: 23:56:10 time: 0.6892 data_time: 0.0209 memory: 17350 grad_norm: 7.8769 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5078 loss: 1.5078 2022/07/24 02:01:32 - mmengine - INFO - Epoch(train) [66][2520/3757] lr: 1.0000e-03 eta: 23:55:57 time: 0.6706 data_time: 0.0232 memory: 17350 grad_norm: 7.6210 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0914 loss: 1.0914 2022/07/24 02:01:46 - mmengine - INFO - Epoch(train) [66][2540/3757] lr: 1.0000e-03 eta: 23:55:44 time: 0.6959 data_time: 0.0481 memory: 17350 grad_norm: 7.9227 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3826 loss: 1.3826 2022/07/24 02:01:58 - mmengine - INFO - Epoch(train) [66][2560/3757] lr: 1.0000e-03 eta: 23:55:30 time: 0.6429 data_time: 0.0232 memory: 17350 grad_norm: 7.6216 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2250 loss: 1.2250 2022/07/24 02:02:12 - mmengine - INFO - Epoch(train) [66][2580/3757] lr: 1.0000e-03 eta: 23:55:17 time: 0.6611 data_time: 0.0245 memory: 17350 grad_norm: 7.5045 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1574 loss: 1.1574 2022/07/24 02:02:26 - mmengine - INFO - Epoch(train) [66][2600/3757] lr: 1.0000e-03 eta: 23:55:04 time: 0.6957 data_time: 0.0241 memory: 17350 grad_norm: 7.7050 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1644 loss: 1.1644 2022/07/24 02:02:39 - mmengine - INFO - Epoch(train) [66][2620/3757] lr: 1.0000e-03 eta: 23:54:50 time: 0.6752 data_time: 0.0234 memory: 17350 grad_norm: 7.8926 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1551 loss: 1.1551 2022/07/24 02:02:52 - mmengine - INFO - Epoch(train) [66][2640/3757] lr: 1.0000e-03 eta: 23:54:37 time: 0.6494 data_time: 0.0223 memory: 17350 grad_norm: 7.4484 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0657 loss: 1.0657 2022/07/24 02:03:05 - mmengine - INFO - Epoch(train) [66][2660/3757] lr: 1.0000e-03 eta: 23:54:23 time: 0.6701 data_time: 0.0674 memory: 17350 grad_norm: 7.6284 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2184 loss: 1.2184 2022/07/24 02:03:18 - mmengine - INFO - Epoch(train) [66][2680/3757] lr: 1.0000e-03 eta: 23:54:10 time: 0.6292 data_time: 0.0491 memory: 17350 grad_norm: 7.8058 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9772 loss: 0.9772 2022/07/24 02:03:32 - mmengine - INFO - Epoch(train) [66][2700/3757] lr: 1.0000e-03 eta: 23:53:56 time: 0.6710 data_time: 0.0476 memory: 17350 grad_norm: 7.7254 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2506 loss: 1.2506 2022/07/24 02:03:45 - mmengine - INFO - Epoch(train) [66][2720/3757] lr: 1.0000e-03 eta: 23:53:43 time: 0.6560 data_time: 0.1206 memory: 17350 grad_norm: 7.5311 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2951 loss: 1.2951 2022/07/24 02:03:58 - mmengine - INFO - Epoch(train) [66][2740/3757] lr: 1.0000e-03 eta: 23:53:29 time: 0.6650 data_time: 0.2150 memory: 17350 grad_norm: 7.4471 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1433 loss: 1.1433 2022/07/24 02:04:11 - mmengine - INFO - Epoch(train) [66][2760/3757] lr: 1.0000e-03 eta: 23:53:16 time: 0.6698 data_time: 0.2455 memory: 17350 grad_norm: 8.1391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2608 loss: 1.2608 2022/07/24 02:04:26 - mmengine - INFO - Epoch(train) [66][2780/3757] lr: 1.0000e-03 eta: 23:53:03 time: 0.7073 data_time: 0.2318 memory: 17350 grad_norm: 7.6264 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2866 loss: 1.2866 2022/07/24 02:04:36 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 02:04:39 - mmengine - INFO - Epoch(train) [66][2800/3757] lr: 1.0000e-03 eta: 23:52:50 time: 0.6698 data_time: 0.2033 memory: 17350 grad_norm: 7.7458 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3834 loss: 1.3834 2022/07/24 02:04:52 - mmengine - INFO - Epoch(train) [66][2820/3757] lr: 1.0000e-03 eta: 23:52:36 time: 0.6454 data_time: 0.1721 memory: 17350 grad_norm: 7.7497 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1271 loss: 1.1271 2022/07/24 02:05:06 - mmengine - INFO - Epoch(train) [66][2840/3757] lr: 1.0000e-03 eta: 23:52:23 time: 0.6826 data_time: 0.2181 memory: 17350 grad_norm: 7.7043 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3181 loss: 1.3181 2022/07/24 02:05:20 - mmengine - INFO - Epoch(train) [66][2860/3757] lr: 1.0000e-03 eta: 23:52:10 time: 0.7418 data_time: 0.2118 memory: 17350 grad_norm: 7.6027 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2940 loss: 1.2940 2022/07/24 02:05:32 - mmengine - INFO - Epoch(train) [66][2880/3757] lr: 1.0000e-03 eta: 23:51:56 time: 0.5826 data_time: 0.0621 memory: 17350 grad_norm: 7.9424 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3639 loss: 1.3639 2022/07/24 02:05:46 - mmengine - INFO - Epoch(train) [66][2900/3757] lr: 1.0000e-03 eta: 23:51:43 time: 0.7000 data_time: 0.0966 memory: 17350 grad_norm: 7.8705 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1036 loss: 1.1036 2022/07/24 02:05:58 - mmengine - INFO - Epoch(train) [66][2920/3757] lr: 1.0000e-03 eta: 23:51:29 time: 0.6152 data_time: 0.0616 memory: 17350 grad_norm: 7.5471 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1103 loss: 1.1103 2022/07/24 02:06:13 - mmengine - INFO - Epoch(train) [66][2940/3757] lr: 1.0000e-03 eta: 23:51:16 time: 0.7210 data_time: 0.0678 memory: 17350 grad_norm: 7.3317 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9894 loss: 0.9894 2022/07/24 02:06:25 - mmengine - INFO - Epoch(train) [66][2960/3757] lr: 1.0000e-03 eta: 23:51:03 time: 0.6241 data_time: 0.0992 memory: 17350 grad_norm: 7.4145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4364 loss: 1.4364 2022/07/24 02:06:39 - mmengine - INFO - Epoch(train) [66][2980/3757] lr: 1.0000e-03 eta: 23:50:49 time: 0.6793 data_time: 0.1100 memory: 17350 grad_norm: 7.8066 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9968 loss: 0.9968 2022/07/24 02:06:52 - mmengine - INFO - Epoch(train) [66][3000/3757] lr: 1.0000e-03 eta: 23:50:36 time: 0.6372 data_time: 0.1669 memory: 17350 grad_norm: 7.7508 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1626 loss: 1.1626 2022/07/24 02:07:06 - mmengine - INFO - Epoch(train) [66][3020/3757] lr: 1.0000e-03 eta: 23:50:23 time: 0.7361 data_time: 0.1621 memory: 17350 grad_norm: 7.6899 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8243 loss: 0.8243 2022/07/24 02:07:18 - mmengine - INFO - Epoch(train) [66][3040/3757] lr: 1.0000e-03 eta: 23:50:09 time: 0.5949 data_time: 0.0898 memory: 17350 grad_norm: 7.7751 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9442 loss: 0.9442 2022/07/24 02:07:33 - mmengine - INFO - Epoch(train) [66][3060/3757] lr: 1.0000e-03 eta: 23:49:56 time: 0.7272 data_time: 0.1710 memory: 17350 grad_norm: 7.4258 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0203 loss: 1.0203 2022/07/24 02:07:45 - mmengine - INFO - Epoch(train) [66][3080/3757] lr: 1.0000e-03 eta: 23:49:42 time: 0.5915 data_time: 0.0524 memory: 17350 grad_norm: 7.7941 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0681 loss: 1.0681 2022/07/24 02:07:59 - mmengine - INFO - Epoch(train) [66][3100/3757] lr: 1.0000e-03 eta: 23:49:29 time: 0.7129 data_time: 0.1342 memory: 17350 grad_norm: 7.7812 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4421 loss: 1.4421 2022/07/24 02:08:11 - mmengine - INFO - Epoch(train) [66][3120/3757] lr: 1.0000e-03 eta: 23:49:15 time: 0.6190 data_time: 0.2099 memory: 17350 grad_norm: 7.7272 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2497 loss: 1.2497 2022/07/24 02:08:26 - mmengine - INFO - Epoch(train) [66][3140/3757] lr: 1.0000e-03 eta: 23:49:03 time: 0.7492 data_time: 0.3306 memory: 17350 grad_norm: 7.6211 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2392 loss: 1.2392 2022/07/24 02:08:38 - mmengine - INFO - Epoch(train) [66][3160/3757] lr: 1.0000e-03 eta: 23:48:48 time: 0.5859 data_time: 0.2142 memory: 17350 grad_norm: 7.5184 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2107 loss: 1.2107 2022/07/24 02:08:53 - mmengine - INFO - Epoch(train) [66][3180/3757] lr: 1.0000e-03 eta: 23:48:36 time: 0.7613 data_time: 0.3541 memory: 17350 grad_norm: 7.5468 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9388 loss: 0.9388 2022/07/24 02:09:06 - mmengine - INFO - Epoch(train) [66][3200/3757] lr: 1.0000e-03 eta: 23:48:22 time: 0.6410 data_time: 0.3074 memory: 17350 grad_norm: 7.7921 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2496 loss: 1.2496 2022/07/24 02:09:20 - mmengine - INFO - Epoch(train) [66][3220/3757] lr: 1.0000e-03 eta: 23:48:09 time: 0.6951 data_time: 0.3630 memory: 17350 grad_norm: 7.4330 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2295 loss: 1.2295 2022/07/24 02:09:32 - mmengine - INFO - Epoch(train) [66][3240/3757] lr: 1.0000e-03 eta: 23:47:55 time: 0.5988 data_time: 0.2590 memory: 17350 grad_norm: 7.4254 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0522 loss: 1.0522 2022/07/24 02:09:46 - mmengine - INFO - Epoch(train) [66][3260/3757] lr: 1.0000e-03 eta: 23:47:42 time: 0.7093 data_time: 0.3742 memory: 17350 grad_norm: 7.5043 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2294 loss: 1.2294 2022/07/24 02:09:58 - mmengine - INFO - Epoch(train) [66][3280/3757] lr: 1.0000e-03 eta: 23:47:28 time: 0.5948 data_time: 0.2573 memory: 17350 grad_norm: 7.4493 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3138 loss: 1.3138 2022/07/24 02:10:14 - mmengine - INFO - Epoch(train) [66][3300/3757] lr: 1.0000e-03 eta: 23:47:16 time: 0.7642 data_time: 0.4095 memory: 17350 grad_norm: 7.7386 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3863 loss: 1.3863 2022/07/24 02:10:25 - mmengine - INFO - Epoch(train) [66][3320/3757] lr: 1.0000e-03 eta: 23:47:02 time: 0.5811 data_time: 0.1805 memory: 17350 grad_norm: 7.8104 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9283 loss: 0.9283 2022/07/24 02:10:39 - mmengine - INFO - Epoch(train) [66][3340/3757] lr: 1.0000e-03 eta: 23:46:48 time: 0.6721 data_time: 0.0515 memory: 17350 grad_norm: 7.5858 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1313 loss: 1.1313 2022/07/24 02:10:51 - mmengine - INFO - Epoch(train) [66][3360/3757] lr: 1.0000e-03 eta: 23:46:34 time: 0.6022 data_time: 0.0226 memory: 17350 grad_norm: 7.9109 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0381 loss: 1.0381 2022/07/24 02:11:06 - mmengine - INFO - Epoch(train) [66][3380/3757] lr: 1.0000e-03 eta: 23:46:22 time: 0.7455 data_time: 0.0223 memory: 17350 grad_norm: 7.6348 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1837 loss: 1.1837 2022/07/24 02:11:18 - mmengine - INFO - Epoch(train) [66][3400/3757] lr: 1.0000e-03 eta: 23:46:08 time: 0.6090 data_time: 0.0216 memory: 17350 grad_norm: 7.4885 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1363 loss: 1.1363 2022/07/24 02:11:32 - mmengine - INFO - Epoch(train) [66][3420/3757] lr: 1.0000e-03 eta: 23:45:55 time: 0.7347 data_time: 0.0241 memory: 17350 grad_norm: 7.6429 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1457 loss: 1.1457 2022/07/24 02:11:44 - mmengine - INFO - Epoch(train) [66][3440/3757] lr: 1.0000e-03 eta: 23:45:41 time: 0.5749 data_time: 0.0215 memory: 17350 grad_norm: 7.4511 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9464 loss: 0.9464 2022/07/24 02:11:58 - mmengine - INFO - Epoch(train) [66][3460/3757] lr: 1.0000e-03 eta: 23:45:28 time: 0.7178 data_time: 0.0232 memory: 17350 grad_norm: 7.6234 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0099 loss: 1.0099 2022/07/24 02:12:11 - mmengine - INFO - Epoch(train) [66][3480/3757] lr: 1.0000e-03 eta: 23:45:14 time: 0.6102 data_time: 0.0229 memory: 17350 grad_norm: 7.4335 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3160 loss: 1.3160 2022/07/24 02:12:26 - mmengine - INFO - Epoch(train) [66][3500/3757] lr: 1.0000e-03 eta: 23:45:02 time: 0.7823 data_time: 0.0223 memory: 17350 grad_norm: 7.6523 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2586 loss: 1.2586 2022/07/24 02:12:37 - mmengine - INFO - Epoch(train) [66][3520/3757] lr: 1.0000e-03 eta: 23:44:47 time: 0.5537 data_time: 0.0221 memory: 17350 grad_norm: 7.7669 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9945 loss: 0.9945 2022/07/24 02:12:52 - mmengine - INFO - Epoch(train) [66][3540/3757] lr: 1.0000e-03 eta: 23:44:35 time: 0.7459 data_time: 0.0221 memory: 17350 grad_norm: 7.5348 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9896 loss: 0.9896 2022/07/24 02:13:04 - mmengine - INFO - Epoch(train) [66][3560/3757] lr: 1.0000e-03 eta: 23:44:20 time: 0.5759 data_time: 0.0239 memory: 17350 grad_norm: 7.3396 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0137 loss: 1.0137 2022/07/24 02:13:17 - mmengine - INFO - Epoch(train) [66][3580/3757] lr: 1.0000e-03 eta: 23:44:07 time: 0.6576 data_time: 0.0270 memory: 17350 grad_norm: 7.6253 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5062 loss: 1.5062 2022/07/24 02:13:30 - mmengine - INFO - Epoch(train) [66][3600/3757] lr: 1.0000e-03 eta: 23:43:53 time: 0.6550 data_time: 0.0226 memory: 17350 grad_norm: 7.7256 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1775 loss: 1.1775 2022/07/24 02:13:44 - mmengine - INFO - Epoch(train) [66][3620/3757] lr: 1.0000e-03 eta: 23:43:40 time: 0.6970 data_time: 0.0230 memory: 17350 grad_norm: 7.7891 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3439 loss: 1.3439 2022/07/24 02:13:57 - mmengine - INFO - Epoch(train) [66][3640/3757] lr: 1.0000e-03 eta: 23:43:27 time: 0.6302 data_time: 0.0386 memory: 17350 grad_norm: 7.8250 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2048 loss: 1.2048 2022/07/24 02:14:12 - mmengine - INFO - Epoch(train) [66][3660/3757] lr: 1.0000e-03 eta: 23:43:14 time: 0.7451 data_time: 0.0206 memory: 17350 grad_norm: 7.4819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1076 loss: 1.1076 2022/07/24 02:14:24 - mmengine - INFO - Epoch(train) [66][3680/3757] lr: 1.0000e-03 eta: 23:43:00 time: 0.6345 data_time: 0.0242 memory: 17350 grad_norm: 7.5704 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1675 loss: 1.1675 2022/07/24 02:14:38 - mmengine - INFO - Epoch(train) [66][3700/3757] lr: 1.0000e-03 eta: 23:42:47 time: 0.6791 data_time: 0.0379 memory: 17350 grad_norm: 7.4921 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1446 loss: 1.1446 2022/07/24 02:14:50 - mmengine - INFO - Epoch(train) [66][3720/3757] lr: 1.0000e-03 eta: 23:42:33 time: 0.6143 data_time: 0.0195 memory: 17350 grad_norm: 7.6610 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1936 loss: 1.1936 2022/07/24 02:15:05 - mmengine - INFO - Epoch(train) [66][3740/3757] lr: 1.0000e-03 eta: 23:42:21 time: 0.7429 data_time: 0.0237 memory: 17350 grad_norm: 7.3203 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3240 loss: 1.3240 2022/07/24 02:15:14 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 02:15:14 - mmengine - INFO - Epoch(train) [66][3757/3757] lr: 1.0000e-03 eta: 23:42:21 time: 0.5169 data_time: 0.0301 memory: 17350 grad_norm: 7.6417 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.2199 loss: 1.2199 2022/07/24 02:15:31 - mmengine - INFO - Epoch(val) [66][20/310] eta: 0:04:10 time: 0.8634 data_time: 0.7480 memory: 3406 2022/07/24 02:15:41 - mmengine - INFO - Epoch(val) [66][40/310] eta: 0:02:24 time: 0.5337 data_time: 0.4203 memory: 3406 2022/07/24 02:15:56 - mmengine - INFO - Epoch(val) [66][60/310] eta: 0:03:05 time: 0.7415 data_time: 0.6286 memory: 3406 2022/07/24 02:16:08 - mmengine - INFO - Epoch(val) [66][80/310] eta: 0:02:15 time: 0.5870 data_time: 0.4733 memory: 3406 2022/07/24 02:16:23 - mmengine - INFO - Epoch(val) [66][100/310] eta: 0:02:41 time: 0.7706 data_time: 0.6564 memory: 3406 2022/07/24 02:16:35 - mmengine - INFO - Epoch(val) [66][120/310] eta: 0:01:50 time: 0.5829 data_time: 0.4702 memory: 3406 2022/07/24 02:16:51 - mmengine - INFO - Epoch(val) [66][140/310] eta: 0:02:14 time: 0.7885 data_time: 0.6748 memory: 3406 2022/07/24 02:17:02 - mmengine - INFO - Epoch(val) [66][160/310] eta: 0:01:24 time: 0.5664 data_time: 0.4520 memory: 3406 2022/07/24 02:17:18 - mmengine - INFO - Epoch(val) [66][180/310] eta: 0:01:45 time: 0.8086 data_time: 0.6929 memory: 3406 2022/07/24 02:17:30 - mmengine - INFO - Epoch(val) [66][200/310] eta: 0:01:01 time: 0.5614 data_time: 0.4483 memory: 3406 2022/07/24 02:17:46 - mmengine - INFO - Epoch(val) [66][220/310] eta: 0:01:12 time: 0.8108 data_time: 0.6972 memory: 3406 2022/07/24 02:17:57 - mmengine - INFO - Epoch(val) [66][240/310] eta: 0:00:37 time: 0.5369 data_time: 0.4227 memory: 3406 2022/07/24 02:18:12 - mmengine - INFO - Epoch(val) [66][260/310] eta: 0:00:37 time: 0.7496 data_time: 0.6365 memory: 3406 2022/07/24 02:18:22 - mmengine - INFO - Epoch(val) [66][280/310] eta: 0:00:16 time: 0.5355 data_time: 0.4233 memory: 3406 2022/07/24 02:18:37 - mmengine - INFO - Epoch(val) [66][300/310] eta: 0:00:07 time: 0.7316 data_time: 0.6136 memory: 3406 2022/07/24 02:18:40 - mmengine - INFO - Epoch(val) [66][310/310] acc/top1: 0.6807 acc/top5: 0.8723 acc/mean1: 0.6806 2022/07/24 02:18:59 - mmengine - INFO - Epoch(train) [67][20/3757] lr: 1.0000e-03 eta: 23:41:53 time: 0.9146 data_time: 0.4437 memory: 17350 grad_norm: 7.6588 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1780 loss: 1.1780 2022/07/24 02:19:10 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 02:19:11 - mmengine - INFO - Epoch(train) [67][40/3757] lr: 1.0000e-03 eta: 23:41:38 time: 0.6019 data_time: 0.0464 memory: 17350 grad_norm: 7.0059 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2535 loss: 1.2535 2022/07/24 02:19:25 - mmengine - INFO - Epoch(train) [67][60/3757] lr: 1.0000e-03 eta: 23:41:26 time: 0.7221 data_time: 0.0477 memory: 17350 grad_norm: 7.8041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2786 loss: 1.2786 2022/07/24 02:19:38 - mmengine - INFO - Epoch(train) [67][80/3757] lr: 1.0000e-03 eta: 23:41:12 time: 0.6388 data_time: 0.0429 memory: 17350 grad_norm: 7.2557 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0372 loss: 1.0372 2022/07/24 02:19:52 - mmengine - INFO - Epoch(train) [67][100/3757] lr: 1.0000e-03 eta: 23:40:59 time: 0.6961 data_time: 0.1676 memory: 17350 grad_norm: 7.4930 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3011 loss: 1.3011 2022/07/24 02:20:05 - mmengine - INFO - Epoch(train) [67][120/3757] lr: 1.0000e-03 eta: 23:40:45 time: 0.6325 data_time: 0.1265 memory: 17350 grad_norm: 7.3962 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0202 loss: 1.0202 2022/07/24 02:20:20 - mmengine - INFO - Epoch(train) [67][140/3757] lr: 1.0000e-03 eta: 23:40:33 time: 0.7327 data_time: 0.1369 memory: 17350 grad_norm: 7.5845 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3895 loss: 1.3895 2022/07/24 02:20:33 - mmengine - INFO - Epoch(train) [67][160/3757] lr: 1.0000e-03 eta: 23:40:19 time: 0.6578 data_time: 0.0592 memory: 17350 grad_norm: 7.4033 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1568 loss: 1.1568 2022/07/24 02:20:47 - mmengine - INFO - Epoch(train) [67][180/3757] lr: 1.0000e-03 eta: 23:40:06 time: 0.7012 data_time: 0.0640 memory: 17350 grad_norm: 7.7950 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3710 loss: 1.3710 2022/07/24 02:20:59 - mmengine - INFO - Epoch(train) [67][200/3757] lr: 1.0000e-03 eta: 23:39:52 time: 0.6349 data_time: 0.0243 memory: 17350 grad_norm: 7.1709 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0845 loss: 1.0845 2022/07/24 02:21:14 - mmengine - INFO - Epoch(train) [67][220/3757] lr: 1.0000e-03 eta: 23:39:40 time: 0.7482 data_time: 0.0231 memory: 17350 grad_norm: 7.6330 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3711 loss: 1.3711 2022/07/24 02:21:26 - mmengine - INFO - Epoch(train) [67][240/3757] lr: 1.0000e-03 eta: 23:39:26 time: 0.5974 data_time: 0.0217 memory: 17350 grad_norm: 7.5860 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1798 loss: 1.1798 2022/07/24 02:21:40 - mmengine - INFO - Epoch(train) [67][260/3757] lr: 1.0000e-03 eta: 23:39:13 time: 0.7024 data_time: 0.0219 memory: 17350 grad_norm: 7.5562 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2096 loss: 1.2096 2022/07/24 02:21:52 - mmengine - INFO - Epoch(train) [67][280/3757] lr: 1.0000e-03 eta: 23:38:59 time: 0.5856 data_time: 0.0225 memory: 17350 grad_norm: 7.6063 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8833 loss: 0.8833 2022/07/24 02:22:08 - mmengine - INFO - Epoch(train) [67][300/3757] lr: 1.0000e-03 eta: 23:38:46 time: 0.7967 data_time: 0.0265 memory: 17350 grad_norm: 7.4008 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1056 loss: 1.1056 2022/07/24 02:22:20 - mmengine - INFO - Epoch(train) [67][320/3757] lr: 1.0000e-03 eta: 23:38:32 time: 0.5847 data_time: 0.0235 memory: 17350 grad_norm: 7.6314 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1983 loss: 1.1983 2022/07/24 02:22:33 - mmengine - INFO - Epoch(train) [67][340/3757] lr: 1.0000e-03 eta: 23:38:19 time: 0.6747 data_time: 0.0228 memory: 17350 grad_norm: 7.8454 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1080 loss: 1.1080 2022/07/24 02:22:46 - mmengine - INFO - Epoch(train) [67][360/3757] lr: 1.0000e-03 eta: 23:38:05 time: 0.6271 data_time: 0.0236 memory: 17350 grad_norm: 7.8825 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2110 loss: 1.2110 2022/07/24 02:23:00 - mmengine - INFO - Epoch(train) [67][380/3757] lr: 1.0000e-03 eta: 23:37:52 time: 0.7073 data_time: 0.0224 memory: 17350 grad_norm: 7.7003 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2424 loss: 1.2424 2022/07/24 02:23:12 - mmengine - INFO - Epoch(train) [67][400/3757] lr: 1.0000e-03 eta: 23:37:38 time: 0.6076 data_time: 0.0210 memory: 17350 grad_norm: 7.6249 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2973 loss: 1.2973 2022/07/24 02:23:26 - mmengine - INFO - Epoch(train) [67][420/3757] lr: 1.0000e-03 eta: 23:37:25 time: 0.7047 data_time: 0.0229 memory: 17350 grad_norm: 7.6157 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2609 loss: 1.2609 2022/07/24 02:23:39 - mmengine - INFO - Epoch(train) [67][440/3757] lr: 1.0000e-03 eta: 23:37:12 time: 0.6391 data_time: 0.0224 memory: 17350 grad_norm: 7.6004 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0296 loss: 1.0296 2022/07/24 02:23:53 - mmengine - INFO - Epoch(train) [67][460/3757] lr: 1.0000e-03 eta: 23:36:59 time: 0.7144 data_time: 0.0227 memory: 17350 grad_norm: 7.6640 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4144 loss: 1.4144 2022/07/24 02:24:06 - mmengine - INFO - Epoch(train) [67][480/3757] lr: 1.0000e-03 eta: 23:36:45 time: 0.6286 data_time: 0.0246 memory: 17350 grad_norm: 7.8899 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4941 loss: 1.4941 2022/07/24 02:24:20 - mmengine - INFO - Epoch(train) [67][500/3757] lr: 1.0000e-03 eta: 23:36:32 time: 0.6891 data_time: 0.0223 memory: 17350 grad_norm: 7.9171 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1312 loss: 1.1312 2022/07/24 02:24:32 - mmengine - INFO - Epoch(train) [67][520/3757] lr: 1.0000e-03 eta: 23:36:18 time: 0.6274 data_time: 0.0217 memory: 17350 grad_norm: 7.5569 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1420 loss: 1.1420 2022/07/24 02:24:47 - mmengine - INFO - Epoch(train) [67][540/3757] lr: 1.0000e-03 eta: 23:36:05 time: 0.7242 data_time: 0.0451 memory: 17350 grad_norm: 7.7190 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2709 loss: 1.2709 2022/07/24 02:24:59 - mmengine - INFO - Epoch(train) [67][560/3757] lr: 1.0000e-03 eta: 23:35:51 time: 0.6014 data_time: 0.0558 memory: 17350 grad_norm: 7.7074 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9355 loss: 0.9355 2022/07/24 02:25:14 - mmengine - INFO - Epoch(train) [67][580/3757] lr: 1.0000e-03 eta: 23:35:39 time: 0.7638 data_time: 0.0285 memory: 17350 grad_norm: 7.7027 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2193 loss: 1.2193 2022/07/24 02:25:27 - mmengine - INFO - Epoch(train) [67][600/3757] lr: 1.0000e-03 eta: 23:35:25 time: 0.6184 data_time: 0.0212 memory: 17350 grad_norm: 7.5439 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3123 loss: 1.3123 2022/07/24 02:25:41 - mmengine - INFO - Epoch(train) [67][620/3757] lr: 1.0000e-03 eta: 23:35:12 time: 0.6992 data_time: 0.0216 memory: 17350 grad_norm: 8.1851 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2515 loss: 1.2515 2022/07/24 02:25:53 - mmengine - INFO - Epoch(train) [67][640/3757] lr: 1.0000e-03 eta: 23:34:58 time: 0.6210 data_time: 0.0224 memory: 17350 grad_norm: 7.4256 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3228 loss: 1.3228 2022/07/24 02:26:08 - mmengine - INFO - Epoch(train) [67][660/3757] lr: 1.0000e-03 eta: 23:34:46 time: 0.7691 data_time: 0.0231 memory: 17350 grad_norm: 8.1021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2525 loss: 1.2525 2022/07/24 02:26:20 - mmengine - INFO - Epoch(train) [67][680/3757] lr: 1.0000e-03 eta: 23:34:32 time: 0.5852 data_time: 0.0245 memory: 17350 grad_norm: 7.3787 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2168 loss: 1.2168 2022/07/24 02:26:35 - mmengine - INFO - Epoch(train) [67][700/3757] lr: 1.0000e-03 eta: 23:34:19 time: 0.7297 data_time: 0.1081 memory: 17350 grad_norm: 7.2342 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1652 loss: 1.1652 2022/07/24 02:26:47 - mmengine - INFO - Epoch(train) [67][720/3757] lr: 1.0000e-03 eta: 23:34:05 time: 0.6282 data_time: 0.0615 memory: 17350 grad_norm: 7.8527 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2728 loss: 1.2728 2022/07/24 02:27:02 - mmengine - INFO - Epoch(train) [67][740/3757] lr: 1.0000e-03 eta: 23:33:52 time: 0.7088 data_time: 0.0227 memory: 17350 grad_norm: 7.6085 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1007 loss: 1.1007 2022/07/24 02:27:14 - mmengine - INFO - Epoch(train) [67][760/3757] lr: 1.0000e-03 eta: 23:33:38 time: 0.6049 data_time: 0.0222 memory: 17350 grad_norm: 7.6508 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0606 loss: 1.0606 2022/07/24 02:27:28 - mmengine - INFO - Epoch(train) [67][780/3757] lr: 1.0000e-03 eta: 23:33:25 time: 0.7353 data_time: 0.0237 memory: 17350 grad_norm: 7.6098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3228 loss: 1.3228 2022/07/24 02:27:40 - mmengine - INFO - Epoch(train) [67][800/3757] lr: 1.0000e-03 eta: 23:33:11 time: 0.5770 data_time: 0.0226 memory: 17350 grad_norm: 7.8139 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2429 loss: 1.2429 2022/07/24 02:27:54 - mmengine - INFO - Epoch(train) [67][820/3757] lr: 1.0000e-03 eta: 23:32:58 time: 0.7273 data_time: 0.0215 memory: 17350 grad_norm: 7.3817 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4151 loss: 1.4151 2022/07/24 02:28:06 - mmengine - INFO - Epoch(train) [67][840/3757] lr: 1.0000e-03 eta: 23:32:44 time: 0.5781 data_time: 0.0222 memory: 17350 grad_norm: 7.7911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3666 loss: 1.3666 2022/07/24 02:28:21 - mmengine - INFO - Epoch(train) [67][860/3757] lr: 1.0000e-03 eta: 23:32:31 time: 0.7314 data_time: 0.0221 memory: 17350 grad_norm: 7.4012 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9327 loss: 0.9327 2022/07/24 02:28:33 - mmengine - INFO - Epoch(train) [67][880/3757] lr: 1.0000e-03 eta: 23:32:17 time: 0.6041 data_time: 0.0237 memory: 17350 grad_norm: 7.9221 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3021 loss: 1.3021 2022/07/24 02:28:47 - mmengine - INFO - Epoch(train) [67][900/3757] lr: 1.0000e-03 eta: 23:32:05 time: 0.7284 data_time: 0.0239 memory: 17350 grad_norm: 7.8202 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1030 loss: 1.1030 2022/07/24 02:28:59 - mmengine - INFO - Epoch(train) [67][920/3757] lr: 1.0000e-03 eta: 23:31:50 time: 0.5789 data_time: 0.0213 memory: 17350 grad_norm: 7.5674 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1212 loss: 1.1212 2022/07/24 02:29:14 - mmengine - INFO - Epoch(train) [67][940/3757] lr: 1.0000e-03 eta: 23:31:38 time: 0.7574 data_time: 0.0221 memory: 17350 grad_norm: 7.5281 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0770 loss: 1.0770 2022/07/24 02:29:26 - mmengine - INFO - Epoch(train) [67][960/3757] lr: 1.0000e-03 eta: 23:31:24 time: 0.6105 data_time: 0.0226 memory: 17350 grad_norm: 7.6981 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2492 loss: 1.2492 2022/07/24 02:29:41 - mmengine - INFO - Epoch(train) [67][980/3757] lr: 1.0000e-03 eta: 23:31:11 time: 0.7480 data_time: 0.0143 memory: 17350 grad_norm: 7.7768 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2863 loss: 1.2863 2022/07/24 02:29:54 - mmengine - INFO - Epoch(train) [67][1000/3757] lr: 1.0000e-03 eta: 23:30:58 time: 0.6086 data_time: 0.0231 memory: 17350 grad_norm: 7.8551 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2267 loss: 1.2267 2022/07/24 02:30:09 - mmengine - INFO - Epoch(train) [67][1020/3757] lr: 1.0000e-03 eta: 23:30:45 time: 0.7706 data_time: 0.0225 memory: 17350 grad_norm: 7.6733 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1460 loss: 1.1460 2022/07/24 02:30:20 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 02:30:21 - mmengine - INFO - Epoch(train) [67][1040/3757] lr: 1.0000e-03 eta: 23:30:31 time: 0.5813 data_time: 0.0241 memory: 17350 grad_norm: 7.9128 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6116 loss: 1.6116 2022/07/24 02:30:35 - mmengine - INFO - Epoch(train) [67][1060/3757] lr: 1.0000e-03 eta: 23:30:18 time: 0.7179 data_time: 0.0200 memory: 17350 grad_norm: 8.1919 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9956 loss: 0.9956 2022/07/24 02:30:47 - mmengine - INFO - Epoch(train) [67][1080/3757] lr: 1.0000e-03 eta: 23:30:04 time: 0.5773 data_time: 0.0227 memory: 17350 grad_norm: 7.7435 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9637 loss: 0.9637 2022/07/24 02:31:01 - mmengine - INFO - Epoch(train) [67][1100/3757] lr: 1.0000e-03 eta: 23:29:51 time: 0.7088 data_time: 0.0230 memory: 17350 grad_norm: 7.8520 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1659 loss: 1.1659 2022/07/24 02:31:13 - mmengine - INFO - Epoch(train) [67][1120/3757] lr: 1.0000e-03 eta: 23:29:37 time: 0.6040 data_time: 0.0218 memory: 17350 grad_norm: 7.8921 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2762 loss: 1.2762 2022/07/24 02:31:27 - mmengine - INFO - Epoch(train) [67][1140/3757] lr: 1.0000e-03 eta: 23:29:24 time: 0.7144 data_time: 0.0235 memory: 17350 grad_norm: 7.9041 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0713 loss: 1.0713 2022/07/24 02:31:40 - mmengine - INFO - Epoch(train) [67][1160/3757] lr: 1.0000e-03 eta: 23:29:10 time: 0.6222 data_time: 0.0223 memory: 17350 grad_norm: 7.6687 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0869 loss: 1.0869 2022/07/24 02:31:55 - mmengine - INFO - Epoch(train) [67][1180/3757] lr: 1.0000e-03 eta: 23:28:58 time: 0.7582 data_time: 0.0233 memory: 17350 grad_norm: 7.6027 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9888 loss: 0.9888 2022/07/24 02:32:07 - mmengine - INFO - Epoch(train) [67][1200/3757] lr: 1.0000e-03 eta: 23:28:44 time: 0.6181 data_time: 0.0226 memory: 17350 grad_norm: 7.7881 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2281 loss: 1.2281 2022/07/24 02:32:21 - mmengine - INFO - Epoch(train) [67][1220/3757] lr: 1.0000e-03 eta: 23:28:31 time: 0.7056 data_time: 0.0266 memory: 17350 grad_norm: 7.8034 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1941 loss: 1.1941 2022/07/24 02:32:33 - mmengine - INFO - Epoch(train) [67][1240/3757] lr: 1.0000e-03 eta: 23:28:17 time: 0.5823 data_time: 0.0223 memory: 17350 grad_norm: 7.5859 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8968 loss: 0.8968 2022/07/24 02:32:47 - mmengine - INFO - Epoch(train) [67][1260/3757] lr: 1.0000e-03 eta: 23:28:04 time: 0.7171 data_time: 0.0220 memory: 17350 grad_norm: 7.5344 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0973 loss: 1.0973 2022/07/24 02:32:59 - mmengine - INFO - Epoch(train) [67][1280/3757] lr: 1.0000e-03 eta: 23:27:50 time: 0.5795 data_time: 0.0231 memory: 17350 grad_norm: 7.7963 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.2672 loss: 1.2672 2022/07/24 02:33:14 - mmengine - INFO - Epoch(train) [67][1300/3757] lr: 1.0000e-03 eta: 23:27:37 time: 0.7738 data_time: 0.0213 memory: 17350 grad_norm: 7.7171 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1808 loss: 1.1808 2022/07/24 02:33:26 - mmengine - INFO - Epoch(train) [67][1320/3757] lr: 1.0000e-03 eta: 23:27:23 time: 0.5808 data_time: 0.0259 memory: 17350 grad_norm: 7.8682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3945 loss: 1.3945 2022/07/24 02:33:41 - mmengine - INFO - Epoch(train) [67][1340/3757] lr: 1.0000e-03 eta: 23:27:11 time: 0.7634 data_time: 0.0208 memory: 17350 grad_norm: 7.9508 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0746 loss: 1.0746 2022/07/24 02:33:54 - mmengine - INFO - Epoch(train) [67][1360/3757] lr: 1.0000e-03 eta: 23:26:57 time: 0.6324 data_time: 0.0241 memory: 17350 grad_norm: 7.4408 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2097 loss: 1.2097 2022/07/24 02:34:08 - mmengine - INFO - Epoch(train) [67][1380/3757] lr: 1.0000e-03 eta: 23:26:44 time: 0.7094 data_time: 0.0250 memory: 17350 grad_norm: 7.8583 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1337 loss: 1.1337 2022/07/24 02:34:20 - mmengine - INFO - Epoch(train) [67][1400/3757] lr: 1.0000e-03 eta: 23:26:30 time: 0.6015 data_time: 0.0243 memory: 17350 grad_norm: 7.5994 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1433 loss: 1.1433 2022/07/24 02:34:35 - mmengine - INFO - Epoch(train) [67][1420/3757] lr: 1.0000e-03 eta: 23:26:17 time: 0.7425 data_time: 0.0261 memory: 17350 grad_norm: 7.6709 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2556 loss: 1.2556 2022/07/24 02:34:47 - mmengine - INFO - Epoch(train) [67][1440/3757] lr: 1.0000e-03 eta: 23:26:03 time: 0.5845 data_time: 0.0219 memory: 17350 grad_norm: 8.0233 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0199 loss: 1.0199 2022/07/24 02:35:01 - mmengine - INFO - Epoch(train) [67][1460/3757] lr: 1.0000e-03 eta: 23:25:50 time: 0.7343 data_time: 0.0209 memory: 17350 grad_norm: 7.7570 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9605 loss: 0.9605 2022/07/24 02:35:14 - mmengine - INFO - Epoch(train) [67][1480/3757] lr: 1.0000e-03 eta: 23:25:37 time: 0.6400 data_time: 0.0305 memory: 17350 grad_norm: 7.6705 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4316 loss: 1.4316 2022/07/24 02:35:29 - mmengine - INFO - Epoch(train) [67][1500/3757] lr: 1.0000e-03 eta: 23:25:24 time: 0.7159 data_time: 0.0223 memory: 17350 grad_norm: 7.2715 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9903 loss: 0.9903 2022/07/24 02:35:41 - mmengine - INFO - Epoch(train) [67][1520/3757] lr: 1.0000e-03 eta: 23:25:10 time: 0.5951 data_time: 0.0213 memory: 17350 grad_norm: 7.5300 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3160 loss: 1.3160 2022/07/24 02:35:55 - mmengine - INFO - Epoch(train) [67][1540/3757] lr: 1.0000e-03 eta: 23:24:57 time: 0.7088 data_time: 0.0226 memory: 17350 grad_norm: 7.6800 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2823 loss: 1.2823 2022/07/24 02:36:07 - mmengine - INFO - Epoch(train) [67][1560/3757] lr: 1.0000e-03 eta: 23:24:43 time: 0.6043 data_time: 0.0234 memory: 17350 grad_norm: 7.6933 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3033 loss: 1.3033 2022/07/24 02:36:21 - mmengine - INFO - Epoch(train) [67][1580/3757] lr: 1.0000e-03 eta: 23:24:30 time: 0.6913 data_time: 0.0214 memory: 17350 grad_norm: 7.7982 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0840 loss: 1.0840 2022/07/24 02:36:33 - mmengine - INFO - Epoch(train) [67][1600/3757] lr: 1.0000e-03 eta: 23:24:16 time: 0.6023 data_time: 0.0228 memory: 17350 grad_norm: 7.7282 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0478 loss: 1.0478 2022/07/24 02:36:47 - mmengine - INFO - Epoch(train) [67][1620/3757] lr: 1.0000e-03 eta: 23:24:03 time: 0.6930 data_time: 0.0217 memory: 17350 grad_norm: 7.5659 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0322 loss: 1.0322 2022/07/24 02:36:59 - mmengine - INFO - Epoch(train) [67][1640/3757] lr: 1.0000e-03 eta: 23:23:49 time: 0.6345 data_time: 0.0234 memory: 17350 grad_norm: 7.6325 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8557 loss: 0.8557 2022/07/24 02:37:13 - mmengine - INFO - Epoch(train) [67][1660/3757] lr: 1.0000e-03 eta: 23:23:36 time: 0.6739 data_time: 0.0227 memory: 17350 grad_norm: 7.7308 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9496 loss: 0.9496 2022/07/24 02:37:26 - mmengine - INFO - Epoch(train) [67][1680/3757] lr: 1.0000e-03 eta: 23:23:22 time: 0.6446 data_time: 0.0224 memory: 17350 grad_norm: 7.7334 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2202 loss: 1.2202 2022/07/24 02:37:39 - mmengine - INFO - Epoch(train) [67][1700/3757] lr: 1.0000e-03 eta: 23:23:09 time: 0.6780 data_time: 0.0245 memory: 17350 grad_norm: 7.4789 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5252 loss: 1.5252 2022/07/24 02:37:52 - mmengine - INFO - Epoch(train) [67][1720/3757] lr: 1.0000e-03 eta: 23:22:55 time: 0.6407 data_time: 0.0216 memory: 17350 grad_norm: 8.0220 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1878 loss: 1.1878 2022/07/24 02:38:05 - mmengine - INFO - Epoch(train) [67][1740/3757] lr: 1.0000e-03 eta: 23:22:42 time: 0.6595 data_time: 0.0210 memory: 17350 grad_norm: 7.7399 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1799 loss: 1.1799 2022/07/24 02:38:20 - mmengine - INFO - Epoch(train) [67][1760/3757] lr: 1.0000e-03 eta: 23:22:29 time: 0.7138 data_time: 0.0249 memory: 17350 grad_norm: 7.6988 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3725 loss: 1.3725 2022/07/24 02:38:32 - mmengine - INFO - Epoch(train) [67][1780/3757] lr: 1.0000e-03 eta: 23:22:15 time: 0.6448 data_time: 0.0217 memory: 17350 grad_norm: 7.7722 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1174 loss: 1.1174 2022/07/24 02:38:47 - mmengine - INFO - Epoch(train) [67][1800/3757] lr: 1.0000e-03 eta: 23:22:02 time: 0.7200 data_time: 0.0244 memory: 17350 grad_norm: 7.7273 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1676 loss: 1.1676 2022/07/24 02:39:00 - mmengine - INFO - Epoch(train) [67][1820/3757] lr: 1.0000e-03 eta: 23:21:49 time: 0.6297 data_time: 0.0223 memory: 17350 grad_norm: 7.4109 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2222 loss: 1.2222 2022/07/24 02:39:12 - mmengine - INFO - Epoch(train) [67][1840/3757] lr: 1.0000e-03 eta: 23:21:35 time: 0.6333 data_time: 0.0233 memory: 17350 grad_norm: 7.7605 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1703 loss: 1.1703 2022/07/24 02:39:26 - mmengine - INFO - Epoch(train) [67][1860/3757] lr: 1.0000e-03 eta: 23:21:22 time: 0.7145 data_time: 0.0221 memory: 17350 grad_norm: 7.7354 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0061 loss: 1.0061 2022/07/24 02:39:39 - mmengine - INFO - Epoch(train) [67][1880/3757] lr: 1.0000e-03 eta: 23:21:08 time: 0.6008 data_time: 0.0244 memory: 17350 grad_norm: 7.8553 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9710 loss: 0.9710 2022/07/24 02:39:53 - mmengine - INFO - Epoch(train) [67][1900/3757] lr: 1.0000e-03 eta: 23:20:55 time: 0.7001 data_time: 0.0214 memory: 17350 grad_norm: 7.6020 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3326 loss: 1.3326 2022/07/24 02:40:06 - mmengine - INFO - Epoch(train) [67][1920/3757] lr: 1.0000e-03 eta: 23:20:41 time: 0.6540 data_time: 0.0424 memory: 17350 grad_norm: 7.5713 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2546 loss: 1.2546 2022/07/24 02:40:20 - mmengine - INFO - Epoch(train) [67][1940/3757] lr: 1.0000e-03 eta: 23:20:28 time: 0.6973 data_time: 0.0237 memory: 17350 grad_norm: 7.6121 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1416 loss: 1.1416 2022/07/24 02:40:32 - mmengine - INFO - Epoch(train) [67][1960/3757] lr: 1.0000e-03 eta: 23:20:15 time: 0.6330 data_time: 0.0233 memory: 17350 grad_norm: 7.8218 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1605 loss: 1.1605 2022/07/24 02:40:46 - mmengine - INFO - Epoch(train) [67][1980/3757] lr: 1.0000e-03 eta: 23:20:02 time: 0.7013 data_time: 0.0212 memory: 17350 grad_norm: 7.8203 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0616 loss: 1.0616 2022/07/24 02:40:59 - mmengine - INFO - Epoch(train) [67][2000/3757] lr: 1.0000e-03 eta: 23:19:48 time: 0.6562 data_time: 0.0242 memory: 17350 grad_norm: 7.5214 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1005 loss: 1.1005 2022/07/24 02:41:13 - mmengine - INFO - Epoch(train) [67][2020/3757] lr: 1.0000e-03 eta: 23:19:35 time: 0.6803 data_time: 0.0208 memory: 17350 grad_norm: 7.6637 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3510 loss: 1.3510 2022/07/24 02:41:25 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 02:41:26 - mmengine - INFO - Epoch(train) [67][2040/3757] lr: 1.0000e-03 eta: 23:19:21 time: 0.6431 data_time: 0.0265 memory: 17350 grad_norm: 7.7318 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2798 loss: 1.2798 2022/07/24 02:41:39 - mmengine - INFO - Epoch(train) [67][2060/3757] lr: 1.0000e-03 eta: 23:19:08 time: 0.6434 data_time: 0.0214 memory: 17350 grad_norm: 8.0029 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0829 loss: 1.0829 2022/07/24 02:41:53 - mmengine - INFO - Epoch(train) [67][2080/3757] lr: 1.0000e-03 eta: 23:18:54 time: 0.6827 data_time: 0.0249 memory: 17350 grad_norm: 7.8880 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0836 loss: 1.0836 2022/07/24 02:42:06 - mmengine - INFO - Epoch(train) [67][2100/3757] lr: 1.0000e-03 eta: 23:18:41 time: 0.6933 data_time: 0.0239 memory: 17350 grad_norm: 7.5705 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1026 loss: 1.1026 2022/07/24 02:42:19 - mmengine - INFO - Epoch(train) [67][2120/3757] lr: 1.0000e-03 eta: 23:18:28 time: 0.6394 data_time: 0.0242 memory: 17350 grad_norm: 7.9075 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2260 loss: 1.2260 2022/07/24 02:42:33 - mmengine - INFO - Epoch(train) [67][2140/3757] lr: 1.0000e-03 eta: 23:18:15 time: 0.6896 data_time: 0.0242 memory: 17350 grad_norm: 7.8770 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3342 loss: 1.3342 2022/07/24 02:42:45 - mmengine - INFO - Epoch(train) [67][2160/3757] lr: 1.0000e-03 eta: 23:18:01 time: 0.6241 data_time: 0.0249 memory: 17350 grad_norm: 7.5912 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2112 loss: 1.2112 2022/07/24 02:43:00 - mmengine - INFO - Epoch(train) [67][2180/3757] lr: 1.0000e-03 eta: 23:17:48 time: 0.7494 data_time: 0.0244 memory: 17350 grad_norm: 7.7757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0030 loss: 1.0030 2022/07/24 02:43:12 - mmengine - INFO - Epoch(train) [67][2200/3757] lr: 1.0000e-03 eta: 23:17:34 time: 0.5966 data_time: 0.0225 memory: 17350 grad_norm: 7.8142 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2258 loss: 1.2258 2022/07/24 02:43:27 - mmengine - INFO - Epoch(train) [67][2220/3757] lr: 1.0000e-03 eta: 23:17:21 time: 0.7114 data_time: 0.0226 memory: 17350 grad_norm: 7.8533 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9693 loss: 0.9693 2022/07/24 02:43:39 - mmengine - INFO - Epoch(train) [67][2240/3757] lr: 1.0000e-03 eta: 23:17:07 time: 0.6247 data_time: 0.0249 memory: 17350 grad_norm: 7.7374 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0492 loss: 1.0492 2022/07/24 02:43:53 - mmengine - INFO - Epoch(train) [67][2260/3757] lr: 1.0000e-03 eta: 23:16:54 time: 0.6882 data_time: 0.0215 memory: 17350 grad_norm: 7.5158 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3348 loss: 1.3348 2022/07/24 02:44:05 - mmengine - INFO - Epoch(train) [67][2280/3757] lr: 1.0000e-03 eta: 23:16:40 time: 0.5850 data_time: 0.0230 memory: 17350 grad_norm: 8.0712 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2187 loss: 1.2187 2022/07/24 02:44:19 - mmengine - INFO - Epoch(train) [67][2300/3757] lr: 1.0000e-03 eta: 23:16:27 time: 0.7106 data_time: 0.0219 memory: 17350 grad_norm: 7.4287 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8889 loss: 0.8889 2022/07/24 02:44:31 - mmengine - INFO - Epoch(train) [67][2320/3757] lr: 1.0000e-03 eta: 23:16:13 time: 0.5878 data_time: 0.0200 memory: 17350 grad_norm: 7.8949 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1390 loss: 1.1390 2022/07/24 02:44:45 - mmengine - INFO - Epoch(train) [67][2340/3757] lr: 1.0000e-03 eta: 23:16:00 time: 0.7382 data_time: 0.0211 memory: 17350 grad_norm: 7.6883 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2158 loss: 1.2158 2022/07/24 02:44:57 - mmengine - INFO - Epoch(train) [67][2360/3757] lr: 1.0000e-03 eta: 23:15:46 time: 0.5994 data_time: 0.0228 memory: 17350 grad_norm: 7.7034 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2236 loss: 1.2236 2022/07/24 02:45:12 - mmengine - INFO - Epoch(train) [67][2380/3757] lr: 1.0000e-03 eta: 23:15:34 time: 0.7494 data_time: 0.0356 memory: 17350 grad_norm: 7.6375 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2447 loss: 1.2447 2022/07/24 02:45:25 - mmengine - INFO - Epoch(train) [67][2400/3757] lr: 1.0000e-03 eta: 23:15:20 time: 0.6450 data_time: 0.1008 memory: 17350 grad_norm: 7.6132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1021 loss: 1.1021 2022/07/24 02:45:39 - mmengine - INFO - Epoch(train) [67][2420/3757] lr: 1.0000e-03 eta: 23:15:07 time: 0.6861 data_time: 0.0662 memory: 17350 grad_norm: 7.9505 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3798 loss: 1.3798 2022/07/24 02:45:52 - mmengine - INFO - Epoch(train) [67][2440/3757] lr: 1.0000e-03 eta: 23:14:54 time: 0.6601 data_time: 0.1360 memory: 17350 grad_norm: 7.7070 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2230 loss: 1.2230 2022/07/24 02:46:07 - mmengine - INFO - Epoch(train) [67][2460/3757] lr: 1.0000e-03 eta: 23:14:41 time: 0.7276 data_time: 0.1551 memory: 17350 grad_norm: 7.7624 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9527 loss: 0.9527 2022/07/24 02:46:19 - mmengine - INFO - Epoch(train) [67][2480/3757] lr: 1.0000e-03 eta: 23:14:27 time: 0.6150 data_time: 0.1185 memory: 17350 grad_norm: 7.3233 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2917 loss: 1.2917 2022/07/24 02:46:33 - mmengine - INFO - Epoch(train) [67][2500/3757] lr: 1.0000e-03 eta: 23:14:14 time: 0.7024 data_time: 0.1040 memory: 17350 grad_norm: 7.6072 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1373 loss: 1.1373 2022/07/24 02:46:47 - mmengine - INFO - Epoch(train) [67][2520/3757] lr: 1.0000e-03 eta: 23:14:01 time: 0.6644 data_time: 0.1953 memory: 17350 grad_norm: 7.8817 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3095 loss: 1.3095 2022/07/24 02:47:00 - mmengine - INFO - Epoch(train) [67][2540/3757] lr: 1.0000e-03 eta: 23:13:47 time: 0.6478 data_time: 0.1540 memory: 17350 grad_norm: 7.6753 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1447 loss: 1.1447 2022/07/24 02:47:13 - mmengine - INFO - Epoch(train) [67][2560/3757] lr: 1.0000e-03 eta: 23:13:33 time: 0.6578 data_time: 0.1514 memory: 17350 grad_norm: 7.6687 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2363 loss: 1.2363 2022/07/24 02:47:27 - mmengine - INFO - Epoch(train) [67][2580/3757] lr: 1.0000e-03 eta: 23:13:20 time: 0.6991 data_time: 0.1023 memory: 17350 grad_norm: 7.8573 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0401 loss: 1.0401 2022/07/24 02:47:40 - mmengine - INFO - Epoch(train) [67][2600/3757] lr: 1.0000e-03 eta: 23:13:07 time: 0.6454 data_time: 0.1743 memory: 17350 grad_norm: 8.1529 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.2991 loss: 1.2991 2022/07/24 02:47:53 - mmengine - INFO - Epoch(train) [67][2620/3757] lr: 1.0000e-03 eta: 23:12:53 time: 0.6574 data_time: 0.1317 memory: 17350 grad_norm: 7.8790 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2142 loss: 1.2142 2022/07/24 02:48:06 - mmengine - INFO - Epoch(train) [67][2640/3757] lr: 1.0000e-03 eta: 23:12:40 time: 0.6756 data_time: 0.2576 memory: 17350 grad_norm: 7.8577 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0062 loss: 1.0062 2022/07/24 02:48:20 - mmengine - INFO - Epoch(train) [67][2660/3757] lr: 1.0000e-03 eta: 23:12:27 time: 0.6632 data_time: 0.1571 memory: 17350 grad_norm: 8.1817 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0989 loss: 1.0989 2022/07/24 02:48:32 - mmengine - INFO - Epoch(train) [67][2680/3757] lr: 1.0000e-03 eta: 23:12:13 time: 0.6053 data_time: 0.0860 memory: 17350 grad_norm: 7.8535 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2103 loss: 1.2103 2022/07/24 02:48:46 - mmengine - INFO - Epoch(train) [67][2700/3757] lr: 1.0000e-03 eta: 23:12:00 time: 0.7051 data_time: 0.0267 memory: 17350 grad_norm: 8.1746 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1181 loss: 1.1181 2022/07/24 02:48:58 - mmengine - INFO - Epoch(train) [67][2720/3757] lr: 1.0000e-03 eta: 23:11:46 time: 0.5843 data_time: 0.0286 memory: 17350 grad_norm: 7.6204 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2674 loss: 1.2674 2022/07/24 02:49:13 - mmengine - INFO - Epoch(train) [67][2740/3757] lr: 1.0000e-03 eta: 23:11:33 time: 0.7518 data_time: 0.0604 memory: 17350 grad_norm: 7.4653 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0457 loss: 1.0457 2022/07/24 02:49:24 - mmengine - INFO - Epoch(train) [67][2760/3757] lr: 1.0000e-03 eta: 23:11:19 time: 0.5787 data_time: 0.0233 memory: 17350 grad_norm: 7.6263 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9055 loss: 0.9055 2022/07/24 02:49:39 - mmengine - INFO - Epoch(train) [67][2780/3757] lr: 1.0000e-03 eta: 23:11:06 time: 0.7334 data_time: 0.0219 memory: 17350 grad_norm: 8.1778 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1604 loss: 1.1604 2022/07/24 02:49:51 - mmengine - INFO - Epoch(train) [67][2800/3757] lr: 1.0000e-03 eta: 23:10:52 time: 0.6191 data_time: 0.0238 memory: 17350 grad_norm: 7.5259 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1607 loss: 1.1607 2022/07/24 02:50:06 - mmengine - INFO - Epoch(train) [67][2820/3757] lr: 1.0000e-03 eta: 23:10:40 time: 0.7528 data_time: 0.0216 memory: 17350 grad_norm: 7.9692 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3873 loss: 1.3873 2022/07/24 02:50:19 - mmengine - INFO - Epoch(train) [67][2840/3757] lr: 1.0000e-03 eta: 23:10:26 time: 0.6144 data_time: 0.0223 memory: 17350 grad_norm: 7.4570 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2246 loss: 1.2246 2022/07/24 02:50:33 - mmengine - INFO - Epoch(train) [67][2860/3757] lr: 1.0000e-03 eta: 23:10:13 time: 0.7122 data_time: 0.0218 memory: 17350 grad_norm: 7.4114 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0186 loss: 1.0186 2022/07/24 02:50:45 - mmengine - INFO - Epoch(train) [67][2880/3757] lr: 1.0000e-03 eta: 23:09:59 time: 0.6122 data_time: 0.0235 memory: 17350 grad_norm: 7.9749 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1241 loss: 1.1241 2022/07/24 02:50:59 - mmengine - INFO - Epoch(train) [67][2900/3757] lr: 1.0000e-03 eta: 23:09:46 time: 0.6977 data_time: 0.0235 memory: 17350 grad_norm: 7.3193 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1507 loss: 1.1507 2022/07/24 02:51:11 - mmengine - INFO - Epoch(train) [67][2920/3757] lr: 1.0000e-03 eta: 23:09:32 time: 0.5941 data_time: 0.0240 memory: 17350 grad_norm: 7.4817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4092 loss: 1.4092 2022/07/24 02:51:26 - mmengine - INFO - Epoch(train) [67][2940/3757] lr: 1.0000e-03 eta: 23:09:19 time: 0.7386 data_time: 0.0225 memory: 17350 grad_norm: 7.7508 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4583 loss: 1.4583 2022/07/24 02:51:38 - mmengine - INFO - Epoch(train) [67][2960/3757] lr: 1.0000e-03 eta: 23:09:05 time: 0.6110 data_time: 0.0244 memory: 17350 grad_norm: 7.7933 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9390 loss: 0.9390 2022/07/24 02:51:53 - mmengine - INFO - Epoch(train) [67][2980/3757] lr: 1.0000e-03 eta: 23:08:52 time: 0.7284 data_time: 0.0215 memory: 17350 grad_norm: 7.6279 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0950 loss: 1.0950 2022/07/24 02:52:04 - mmengine - INFO - Epoch(train) [67][3000/3757] lr: 1.0000e-03 eta: 23:08:38 time: 0.5924 data_time: 0.0233 memory: 17350 grad_norm: 7.6902 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9529 loss: 0.9529 2022/07/24 02:52:19 - mmengine - INFO - Epoch(train) [67][3020/3757] lr: 1.0000e-03 eta: 23:08:25 time: 0.7108 data_time: 0.0206 memory: 17350 grad_norm: 7.8008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3837 loss: 1.3837 2022/07/24 02:52:30 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 02:52:31 - mmengine - INFO - Epoch(train) [67][3040/3757] lr: 1.0000e-03 eta: 23:08:12 time: 0.6163 data_time: 0.0233 memory: 17350 grad_norm: 7.5462 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2263 loss: 1.2263 2022/07/24 02:52:46 - mmengine - INFO - Epoch(train) [67][3060/3757] lr: 1.0000e-03 eta: 23:07:59 time: 0.7215 data_time: 0.0207 memory: 17350 grad_norm: 7.4736 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1944 loss: 1.1944 2022/07/24 02:52:58 - mmengine - INFO - Epoch(train) [67][3080/3757] lr: 1.0000e-03 eta: 23:07:45 time: 0.6193 data_time: 0.0240 memory: 17350 grad_norm: 7.8963 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3059 loss: 1.3059 2022/07/24 02:53:12 - mmengine - INFO - Epoch(train) [67][3100/3757] lr: 1.0000e-03 eta: 23:07:32 time: 0.7154 data_time: 0.0232 memory: 17350 grad_norm: 7.5379 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1364 loss: 1.1364 2022/07/24 02:53:24 - mmengine - INFO - Epoch(train) [67][3120/3757] lr: 1.0000e-03 eta: 23:07:18 time: 0.6039 data_time: 0.0212 memory: 17350 grad_norm: 7.6352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9913 loss: 0.9913 2022/07/24 02:53:38 - mmengine - INFO - Epoch(train) [67][3140/3757] lr: 1.0000e-03 eta: 23:07:05 time: 0.6989 data_time: 0.0235 memory: 17350 grad_norm: 8.1228 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2627 loss: 1.2627 2022/07/24 02:53:51 - mmengine - INFO - Epoch(train) [67][3160/3757] lr: 1.0000e-03 eta: 23:06:51 time: 0.6430 data_time: 0.0248 memory: 17350 grad_norm: 7.9148 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1093 loss: 1.1093 2022/07/24 02:54:04 - mmengine - INFO - Epoch(train) [67][3180/3757] lr: 1.0000e-03 eta: 23:06:38 time: 0.6562 data_time: 0.0167 memory: 17350 grad_norm: 7.7716 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0040 loss: 1.0040 2022/07/24 02:54:18 - mmengine - INFO - Epoch(train) [67][3200/3757] lr: 1.0000e-03 eta: 23:06:25 time: 0.6982 data_time: 0.0234 memory: 17350 grad_norm: 7.9977 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2746 loss: 1.2746 2022/07/24 02:54:31 - mmengine - INFO - Epoch(train) [67][3220/3757] lr: 1.0000e-03 eta: 23:06:11 time: 0.6154 data_time: 0.0237 memory: 17350 grad_norm: 7.8821 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3320 loss: 1.3320 2022/07/24 02:54:44 - mmengine - INFO - Epoch(train) [67][3240/3757] lr: 1.0000e-03 eta: 23:05:58 time: 0.6666 data_time: 0.0220 memory: 17350 grad_norm: 7.7562 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0364 loss: 1.0364 2022/07/24 02:54:57 - mmengine - INFO - Epoch(train) [67][3260/3757] lr: 1.0000e-03 eta: 23:05:44 time: 0.6646 data_time: 0.0229 memory: 17350 grad_norm: 7.7266 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1752 loss: 1.1752 2022/07/24 02:55:11 - mmengine - INFO - Epoch(train) [67][3280/3757] lr: 1.0000e-03 eta: 23:05:31 time: 0.6942 data_time: 0.0240 memory: 17350 grad_norm: 7.8117 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2660 loss: 1.2660 2022/07/24 02:55:24 - mmengine - INFO - Epoch(train) [67][3300/3757] lr: 1.0000e-03 eta: 23:05:17 time: 0.6198 data_time: 0.0215 memory: 17350 grad_norm: 7.7585 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3321 loss: 1.3321 2022/07/24 02:55:38 - mmengine - INFO - Epoch(train) [67][3320/3757] lr: 1.0000e-03 eta: 23:05:04 time: 0.7275 data_time: 0.0250 memory: 17350 grad_norm: 8.0099 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0306 loss: 1.0306 2022/07/24 02:55:50 - mmengine - INFO - Epoch(train) [67][3340/3757] lr: 1.0000e-03 eta: 23:04:51 time: 0.6140 data_time: 0.0229 memory: 17350 grad_norm: 7.5995 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0736 loss: 1.0736 2022/07/24 02:56:05 - mmengine - INFO - Epoch(train) [67][3360/3757] lr: 1.0000e-03 eta: 23:04:38 time: 0.7181 data_time: 0.0228 memory: 17350 grad_norm: 7.7113 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2273 loss: 1.2273 2022/07/24 02:56:17 - mmengine - INFO - Epoch(train) [67][3380/3757] lr: 1.0000e-03 eta: 23:04:24 time: 0.6119 data_time: 0.0239 memory: 17350 grad_norm: 7.8194 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4549 loss: 1.4549 2022/07/24 02:56:31 - mmengine - INFO - Epoch(train) [67][3400/3757] lr: 1.0000e-03 eta: 23:04:11 time: 0.7062 data_time: 0.0237 memory: 17350 grad_norm: 7.8894 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1992 loss: 1.1992 2022/07/24 02:56:44 - mmengine - INFO - Epoch(train) [67][3420/3757] lr: 1.0000e-03 eta: 23:03:57 time: 0.6215 data_time: 0.0244 memory: 17350 grad_norm: 7.5239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1023 loss: 1.1023 2022/07/24 02:56:58 - mmengine - INFO - Epoch(train) [67][3440/3757] lr: 1.0000e-03 eta: 23:03:44 time: 0.7299 data_time: 0.0231 memory: 17350 grad_norm: 7.8450 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1727 loss: 1.1727 2022/07/24 02:57:11 - mmengine - INFO - Epoch(train) [67][3460/3757] lr: 1.0000e-03 eta: 23:03:31 time: 0.6416 data_time: 0.0219 memory: 17350 grad_norm: 7.8734 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0766 loss: 1.0766 2022/07/24 02:57:24 - mmengine - INFO - Epoch(train) [67][3480/3757] lr: 1.0000e-03 eta: 23:03:17 time: 0.6616 data_time: 0.0229 memory: 17350 grad_norm: 7.4761 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3105 loss: 1.3105 2022/07/24 02:57:37 - mmengine - INFO - Epoch(train) [67][3500/3757] lr: 1.0000e-03 eta: 23:03:04 time: 0.6499 data_time: 0.0225 memory: 17350 grad_norm: 7.5048 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9853 loss: 0.9853 2022/07/24 02:57:52 - mmengine - INFO - Epoch(train) [67][3520/3757] lr: 1.0000e-03 eta: 23:02:51 time: 0.7047 data_time: 0.0230 memory: 17350 grad_norm: 7.8261 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3850 loss: 1.3850 2022/07/24 02:58:04 - mmengine - INFO - Epoch(train) [67][3540/3757] lr: 1.0000e-03 eta: 23:02:37 time: 0.6292 data_time: 0.0232 memory: 17350 grad_norm: 7.5609 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0615 loss: 1.0615 2022/07/24 02:58:17 - mmengine - INFO - Epoch(train) [67][3560/3757] lr: 1.0000e-03 eta: 23:02:24 time: 0.6682 data_time: 0.0242 memory: 17350 grad_norm: 7.6545 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2199 loss: 1.2199 2022/07/24 02:58:31 - mmengine - INFO - Epoch(train) [67][3580/3757] lr: 1.0000e-03 eta: 23:02:10 time: 0.6656 data_time: 0.0218 memory: 17350 grad_norm: 7.6723 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1108 loss: 1.1108 2022/07/24 02:58:44 - mmengine - INFO - Epoch(train) [67][3600/3757] lr: 1.0000e-03 eta: 23:01:57 time: 0.6539 data_time: 0.0234 memory: 17350 grad_norm: 7.8053 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0663 loss: 1.0663 2022/07/24 02:58:58 - mmengine - INFO - Epoch(train) [67][3620/3757] lr: 1.0000e-03 eta: 23:01:44 time: 0.7267 data_time: 0.0215 memory: 17350 grad_norm: 8.0193 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4099 loss: 1.4099 2022/07/24 02:59:10 - mmengine - INFO - Epoch(train) [67][3640/3757] lr: 1.0000e-03 eta: 23:01:30 time: 0.5872 data_time: 0.0240 memory: 17350 grad_norm: 7.4027 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1076 loss: 1.1076 2022/07/24 02:59:25 - mmengine - INFO - Epoch(train) [67][3660/3757] lr: 1.0000e-03 eta: 23:01:17 time: 0.7549 data_time: 0.0303 memory: 17350 grad_norm: 7.9998 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2179 loss: 1.2179 2022/07/24 02:59:38 - mmengine - INFO - Epoch(train) [67][3680/3757] lr: 1.0000e-03 eta: 23:01:04 time: 0.6310 data_time: 0.0251 memory: 17350 grad_norm: 7.8173 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3249 loss: 1.3249 2022/07/24 02:59:51 - mmengine - INFO - Epoch(train) [67][3700/3757] lr: 1.0000e-03 eta: 23:00:50 time: 0.6671 data_time: 0.0217 memory: 17350 grad_norm: 7.8054 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1581 loss: 1.1581 2022/07/24 03:00:05 - mmengine - INFO - Epoch(train) [67][3720/3757] lr: 1.0000e-03 eta: 23:00:37 time: 0.6683 data_time: 0.0248 memory: 17350 grad_norm: 7.4650 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0316 loss: 1.0316 2022/07/24 03:00:18 - mmengine - INFO - Epoch(train) [67][3740/3757] lr: 1.0000e-03 eta: 23:00:23 time: 0.6681 data_time: 0.0201 memory: 17350 grad_norm: 7.7416 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3454 loss: 1.3454 2022/07/24 03:00:26 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 03:00:26 - mmengine - INFO - Epoch(train) [67][3757/3757] lr: 1.0000e-03 eta: 23:00:23 time: 0.5020 data_time: 0.0217 memory: 17350 grad_norm: 7.9814 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.1876 loss: 1.1876 2022/07/24 03:00:44 - mmengine - INFO - Epoch(val) [67][20/310] eta: 0:04:17 time: 0.8869 data_time: 0.7674 memory: 3406 2022/07/24 03:00:55 - mmengine - INFO - Epoch(val) [67][40/310] eta: 0:02:21 time: 0.5237 data_time: 0.4093 memory: 3406 2022/07/24 03:01:10 - mmengine - INFO - Epoch(val) [67][60/310] eta: 0:03:15 time: 0.7820 data_time: 0.6651 memory: 3406 2022/07/24 03:01:21 - mmengine - INFO - Epoch(val) [67][80/310] eta: 0:01:59 time: 0.5195 data_time: 0.4063 memory: 3406 2022/07/24 03:01:36 - mmengine - INFO - Epoch(val) [67][100/310] eta: 0:02:41 time: 0.7686 data_time: 0.6563 memory: 3406 2022/07/24 03:01:47 - mmengine - INFO - Epoch(val) [67][120/310] eta: 0:01:41 time: 0.5365 data_time: 0.4203 memory: 3406 2022/07/24 03:02:03 - mmengine - INFO - Epoch(val) [67][140/310] eta: 0:02:16 time: 0.8015 data_time: 0.6857 memory: 3406 2022/07/24 03:02:14 - mmengine - INFO - Epoch(val) [67][160/310] eta: 0:01:21 time: 0.5402 data_time: 0.4265 memory: 3406 2022/07/24 03:02:29 - mmengine - INFO - Epoch(val) [67][180/310] eta: 0:01:42 time: 0.7885 data_time: 0.6721 memory: 3406 2022/07/24 03:02:41 - mmengine - INFO - Epoch(val) [67][200/310] eta: 0:01:02 time: 0.5646 data_time: 0.4490 memory: 3406 2022/07/24 03:02:55 - mmengine - INFO - Epoch(val) [67][220/310] eta: 0:01:04 time: 0.7208 data_time: 0.6074 memory: 3406 2022/07/24 03:03:06 - mmengine - INFO - Epoch(val) [67][240/310] eta: 0:00:39 time: 0.5646 data_time: 0.4527 memory: 3406 2022/07/24 03:03:21 - mmengine - INFO - Epoch(val) [67][260/310] eta: 0:00:37 time: 0.7511 data_time: 0.6373 memory: 3406 2022/07/24 03:03:32 - mmengine - INFO - Epoch(val) [67][280/310] eta: 0:00:16 time: 0.5461 data_time: 0.4290 memory: 3406 2022/07/24 03:03:47 - mmengine - INFO - Epoch(val) [67][300/310] eta: 0:00:07 time: 0.7419 data_time: 0.6275 memory: 3406 2022/07/24 03:03:52 - mmengine - INFO - Epoch(val) [67][310/310] acc/top1: 0.6821 acc/top5: 0.8730 acc/mean1: 0.6819 2022/07/24 03:03:52 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_66.pth is removed 2022/07/24 03:03:54 - mmengine - INFO - The best checkpoint with 0.6821 acc/top1 at 68 epoch is saved to best_acc/top1_epoch_68.pth. 2022/07/24 03:04:11 - mmengine - INFO - Epoch(train) [68][20/3757] lr: 1.0000e-03 eta: 22:59:55 time: 0.8221 data_time: 0.4935 memory: 17350 grad_norm: 7.8739 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0947 loss: 1.0947 2022/07/24 03:04:24 - mmengine - INFO - Epoch(train) [68][40/3757] lr: 1.0000e-03 eta: 22:59:41 time: 0.6586 data_time: 0.3292 memory: 17350 grad_norm: 7.7579 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3625 loss: 1.3625 2022/07/24 03:04:38 - mmengine - INFO - Epoch(train) [68][60/3757] lr: 1.0000e-03 eta: 22:59:28 time: 0.6951 data_time: 0.3639 memory: 17350 grad_norm: 7.9919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6036 loss: 1.6036 2022/07/24 03:04:51 - mmengine - INFO - Epoch(train) [68][80/3757] lr: 1.0000e-03 eta: 22:59:14 time: 0.6349 data_time: 0.2123 memory: 17350 grad_norm: 7.7563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0579 loss: 1.0579 2022/07/24 03:05:05 - mmengine - INFO - Epoch(train) [68][100/3757] lr: 1.0000e-03 eta: 22:59:02 time: 0.7383 data_time: 0.2144 memory: 17350 grad_norm: 7.6161 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1288 loss: 1.1288 2022/07/24 03:05:17 - mmengine - INFO - Epoch(train) [68][120/3757] lr: 1.0000e-03 eta: 22:58:48 time: 0.5986 data_time: 0.0960 memory: 17350 grad_norm: 7.9677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1911 loss: 1.1911 2022/07/24 03:05:32 - mmengine - INFO - Epoch(train) [68][140/3757] lr: 1.0000e-03 eta: 22:58:35 time: 0.7290 data_time: 0.1930 memory: 17350 grad_norm: 7.6866 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2800 loss: 1.2800 2022/07/24 03:05:44 - mmengine - INFO - Epoch(train) [68][160/3757] lr: 1.0000e-03 eta: 22:58:21 time: 0.6210 data_time: 0.1060 memory: 17350 grad_norm: 7.4932 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0866 loss: 1.0866 2022/07/24 03:05:59 - mmengine - INFO - Epoch(train) [68][180/3757] lr: 1.0000e-03 eta: 22:58:09 time: 0.7443 data_time: 0.3808 memory: 17350 grad_norm: 7.6433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4193 loss: 1.4193 2022/07/24 03:06:11 - mmengine - INFO - Epoch(train) [68][200/3757] lr: 1.0000e-03 eta: 22:57:55 time: 0.5985 data_time: 0.2655 memory: 17350 grad_norm: 7.7919 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1911 loss: 1.1911 2022/07/24 03:06:26 - mmengine - INFO - Epoch(train) [68][220/3757] lr: 1.0000e-03 eta: 22:57:42 time: 0.7326 data_time: 0.3975 memory: 17350 grad_norm: 7.3572 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9217 loss: 0.9217 2022/07/24 03:06:38 - mmengine - INFO - Epoch(train) [68][240/3757] lr: 1.0000e-03 eta: 22:57:28 time: 0.5912 data_time: 0.2543 memory: 17350 grad_norm: 7.7211 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3155 loss: 1.3155 2022/07/24 03:06:52 - mmengine - INFO - Epoch(train) [68][260/3757] lr: 1.0000e-03 eta: 22:57:15 time: 0.7293 data_time: 0.3940 memory: 17350 grad_norm: 7.8509 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4616 loss: 1.4616 2022/07/24 03:07:04 - mmengine - INFO - Epoch(train) [68][280/3757] lr: 1.0000e-03 eta: 22:57:01 time: 0.5779 data_time: 0.2369 memory: 17350 grad_norm: 7.7923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0976 loss: 1.0976 2022/07/24 03:07:07 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 03:07:18 - mmengine - INFO - Epoch(train) [68][300/3757] lr: 1.0000e-03 eta: 22:56:48 time: 0.7170 data_time: 0.3846 memory: 17350 grad_norm: 7.4972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0264 loss: 1.0264 2022/07/24 03:07:30 - mmengine - INFO - Epoch(train) [68][320/3757] lr: 1.0000e-03 eta: 22:56:34 time: 0.6035 data_time: 0.2738 memory: 17350 grad_norm: 7.3271 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0700 loss: 1.0700 2022/07/24 03:07:45 - mmengine - INFO - Epoch(train) [68][340/3757] lr: 1.0000e-03 eta: 22:56:21 time: 0.7095 data_time: 0.3785 memory: 17350 grad_norm: 7.7169 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2117 loss: 1.2117 2022/07/24 03:07:56 - mmengine - INFO - Epoch(train) [68][360/3757] lr: 1.0000e-03 eta: 22:56:07 time: 0.5887 data_time: 0.2594 memory: 17350 grad_norm: 7.5666 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2102 loss: 1.2102 2022/07/24 03:08:11 - mmengine - INFO - Epoch(train) [68][380/3757] lr: 1.0000e-03 eta: 22:55:54 time: 0.7297 data_time: 0.3982 memory: 17350 grad_norm: 7.5403 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3594 loss: 1.3594 2022/07/24 03:08:23 - mmengine - INFO - Epoch(train) [68][400/3757] lr: 1.0000e-03 eta: 22:55:40 time: 0.5859 data_time: 0.2528 memory: 17350 grad_norm: 7.7227 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3199 loss: 1.3199 2022/07/24 03:08:37 - mmengine - INFO - Epoch(train) [68][420/3757] lr: 1.0000e-03 eta: 22:55:27 time: 0.7070 data_time: 0.3247 memory: 17350 grad_norm: 7.9875 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9776 loss: 0.9776 2022/07/24 03:08:49 - mmengine - INFO - Epoch(train) [68][440/3757] lr: 1.0000e-03 eta: 22:55:13 time: 0.6236 data_time: 0.2377 memory: 17350 grad_norm: 8.1205 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3411 loss: 1.3411 2022/07/24 03:09:03 - mmengine - INFO - Epoch(train) [68][460/3757] lr: 1.0000e-03 eta: 22:55:00 time: 0.6958 data_time: 0.3269 memory: 17350 grad_norm: 7.6830 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1060 loss: 1.1060 2022/07/24 03:09:16 - mmengine - INFO - Epoch(train) [68][480/3757] lr: 1.0000e-03 eta: 22:54:47 time: 0.6604 data_time: 0.2956 memory: 17350 grad_norm: 7.8329 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0855 loss: 1.0855 2022/07/24 03:09:30 - mmengine - INFO - Epoch(train) [68][500/3757] lr: 1.0000e-03 eta: 22:54:33 time: 0.6552 data_time: 0.2892 memory: 17350 grad_norm: 7.7431 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0242 loss: 1.0242 2022/07/24 03:09:43 - mmengine - INFO - Epoch(train) [68][520/3757] lr: 1.0000e-03 eta: 22:54:20 time: 0.6718 data_time: 0.3098 memory: 17350 grad_norm: 7.5620 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.0770 loss: 1.0770 2022/07/24 03:09:56 - mmengine - INFO - Epoch(train) [68][540/3757] lr: 1.0000e-03 eta: 22:54:06 time: 0.6230 data_time: 0.1965 memory: 17350 grad_norm: 7.6430 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1939 loss: 1.1939 2022/07/24 03:10:09 - mmengine - INFO - Epoch(train) [68][560/3757] lr: 1.0000e-03 eta: 22:53:53 time: 0.6858 data_time: 0.2445 memory: 17350 grad_norm: 7.6718 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1791 loss: 1.1791 2022/07/24 03:10:23 - mmengine - INFO - Epoch(train) [68][580/3757] lr: 1.0000e-03 eta: 22:53:39 time: 0.6715 data_time: 0.1780 memory: 17350 grad_norm: 7.5131 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2377 loss: 1.2377 2022/07/24 03:10:36 - mmengine - INFO - Epoch(train) [68][600/3757] lr: 1.0000e-03 eta: 22:53:26 time: 0.6533 data_time: 0.2352 memory: 17350 grad_norm: 7.4437 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1641 loss: 1.1641 2022/07/24 03:10:50 - mmengine - INFO - Epoch(train) [68][620/3757] lr: 1.0000e-03 eta: 22:53:13 time: 0.7101 data_time: 0.0678 memory: 17350 grad_norm: 7.7681 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2458 loss: 1.2458 2022/07/24 03:11:02 - mmengine - INFO - Epoch(train) [68][640/3757] lr: 1.0000e-03 eta: 22:52:59 time: 0.6214 data_time: 0.0895 memory: 17350 grad_norm: 7.8252 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1681 loss: 1.1681 2022/07/24 03:11:16 - mmengine - INFO - Epoch(train) [68][660/3757] lr: 1.0000e-03 eta: 22:52:46 time: 0.6836 data_time: 0.0539 memory: 17350 grad_norm: 7.8676 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0127 loss: 1.0127 2022/07/24 03:11:29 - mmengine - INFO - Epoch(train) [68][680/3757] lr: 1.0000e-03 eta: 22:52:32 time: 0.6357 data_time: 0.0545 memory: 17350 grad_norm: 7.8939 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0818 loss: 1.0818 2022/07/24 03:11:43 - mmengine - INFO - Epoch(train) [68][700/3757] lr: 1.0000e-03 eta: 22:52:19 time: 0.7113 data_time: 0.0265 memory: 17350 grad_norm: 7.5283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9446 loss: 0.9446 2022/07/24 03:11:55 - mmengine - INFO - Epoch(train) [68][720/3757] lr: 1.0000e-03 eta: 22:52:05 time: 0.6138 data_time: 0.0236 memory: 17350 grad_norm: 7.9979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2540 loss: 1.2540 2022/07/24 03:12:10 - mmengine - INFO - Epoch(train) [68][740/3757] lr: 1.0000e-03 eta: 22:51:53 time: 0.7405 data_time: 0.0220 memory: 17350 grad_norm: 7.5664 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1880 loss: 1.1880 2022/07/24 03:12:22 - mmengine - INFO - Epoch(train) [68][760/3757] lr: 1.0000e-03 eta: 22:51:39 time: 0.5840 data_time: 0.0223 memory: 17350 grad_norm: 7.9935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2331 loss: 1.2331 2022/07/24 03:12:36 - mmengine - INFO - Epoch(train) [68][780/3757] lr: 1.0000e-03 eta: 22:51:26 time: 0.7269 data_time: 0.0418 memory: 17350 grad_norm: 7.8232 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2649 loss: 1.2649 2022/07/24 03:12:50 - mmengine - INFO - Epoch(train) [68][800/3757] lr: 1.0000e-03 eta: 22:51:12 time: 0.6519 data_time: 0.0261 memory: 17350 grad_norm: 7.5142 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9607 loss: 0.9607 2022/07/24 03:13:03 - mmengine - INFO - Epoch(train) [68][820/3757] lr: 1.0000e-03 eta: 22:50:59 time: 0.6726 data_time: 0.0227 memory: 17350 grad_norm: 7.7437 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0111 loss: 1.0111 2022/07/24 03:13:16 - mmengine - INFO - Epoch(train) [68][840/3757] lr: 1.0000e-03 eta: 22:50:45 time: 0.6317 data_time: 0.0226 memory: 17350 grad_norm: 7.7678 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4522 loss: 1.4522 2022/07/24 03:13:30 - mmengine - INFO - Epoch(train) [68][860/3757] lr: 1.0000e-03 eta: 22:50:33 time: 0.7349 data_time: 0.0241 memory: 17350 grad_norm: 7.7931 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1334 loss: 1.1334 2022/07/24 03:13:42 - mmengine - INFO - Epoch(train) [68][880/3757] lr: 1.0000e-03 eta: 22:50:19 time: 0.5915 data_time: 0.0231 memory: 17350 grad_norm: 7.7353 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0493 loss: 1.0493 2022/07/24 03:13:57 - mmengine - INFO - Epoch(train) [68][900/3757] lr: 1.0000e-03 eta: 22:50:06 time: 0.7314 data_time: 0.0219 memory: 17350 grad_norm: 7.2080 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0568 loss: 1.0568 2022/07/24 03:14:10 - mmengine - INFO - Epoch(train) [68][920/3757] lr: 1.0000e-03 eta: 22:49:52 time: 0.6438 data_time: 0.0242 memory: 17350 grad_norm: 7.9400 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2518 loss: 1.2518 2022/07/24 03:14:24 - mmengine - INFO - Epoch(train) [68][940/3757] lr: 1.0000e-03 eta: 22:49:39 time: 0.7281 data_time: 0.0221 memory: 17350 grad_norm: 7.5819 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0860 loss: 1.0860 2022/07/24 03:14:36 - mmengine - INFO - Epoch(train) [68][960/3757] lr: 1.0000e-03 eta: 22:49:25 time: 0.5765 data_time: 0.0237 memory: 17350 grad_norm: 7.6927 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9141 loss: 0.9141 2022/07/24 03:14:50 - mmengine - INFO - Epoch(train) [68][980/3757] lr: 1.0000e-03 eta: 22:49:12 time: 0.6900 data_time: 0.0229 memory: 17350 grad_norm: 7.5816 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2132 loss: 1.2132 2022/07/24 03:15:01 - mmengine - INFO - Epoch(train) [68][1000/3757] lr: 1.0000e-03 eta: 22:48:58 time: 0.5898 data_time: 0.0250 memory: 17350 grad_norm: 7.3761 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0357 loss: 1.0357 2022/07/24 03:15:16 - mmengine - INFO - Epoch(train) [68][1020/3757] lr: 1.0000e-03 eta: 22:48:45 time: 0.7327 data_time: 0.0274 memory: 17350 grad_norm: 7.6751 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0588 loss: 1.0588 2022/07/24 03:15:28 - mmengine - INFO - Epoch(train) [68][1040/3757] lr: 1.0000e-03 eta: 22:48:31 time: 0.5965 data_time: 0.0240 memory: 17350 grad_norm: 7.8752 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9403 loss: 0.9403 2022/07/24 03:15:42 - mmengine - INFO - Epoch(train) [68][1060/3757] lr: 1.0000e-03 eta: 22:48:18 time: 0.7038 data_time: 0.0221 memory: 17350 grad_norm: 7.7258 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0743 loss: 1.0743 2022/07/24 03:15:54 - mmengine - INFO - Epoch(train) [68][1080/3757] lr: 1.0000e-03 eta: 22:48:04 time: 0.6000 data_time: 0.0229 memory: 17350 grad_norm: 7.7764 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2659 loss: 1.2659 2022/07/24 03:16:09 - mmengine - INFO - Epoch(train) [68][1100/3757] lr: 1.0000e-03 eta: 22:47:51 time: 0.7430 data_time: 0.0219 memory: 17350 grad_norm: 7.7524 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1402 loss: 1.1402 2022/07/24 03:16:21 - mmengine - INFO - Epoch(train) [68][1120/3757] lr: 1.0000e-03 eta: 22:47:37 time: 0.5876 data_time: 0.0235 memory: 17350 grad_norm: 7.4129 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0780 loss: 1.0780 2022/07/24 03:16:36 - mmengine - INFO - Epoch(train) [68][1140/3757] lr: 1.0000e-03 eta: 22:47:25 time: 0.7476 data_time: 0.0229 memory: 17350 grad_norm: 7.9911 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1212 loss: 1.1212 2022/07/24 03:16:47 - mmengine - INFO - Epoch(train) [68][1160/3757] lr: 1.0000e-03 eta: 22:47:11 time: 0.5784 data_time: 0.0238 memory: 17350 grad_norm: 8.0831 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3871 loss: 1.3871 2022/07/24 03:17:02 - mmengine - INFO - Epoch(train) [68][1180/3757] lr: 1.0000e-03 eta: 22:46:58 time: 0.7246 data_time: 0.0247 memory: 17350 grad_norm: 7.7514 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3367 loss: 1.3367 2022/07/24 03:17:14 - mmengine - INFO - Epoch(train) [68][1200/3757] lr: 1.0000e-03 eta: 22:46:44 time: 0.6247 data_time: 0.0231 memory: 17350 grad_norm: 7.5599 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0342 loss: 1.0342 2022/07/24 03:17:28 - mmengine - INFO - Epoch(train) [68][1220/3757] lr: 1.0000e-03 eta: 22:46:31 time: 0.6858 data_time: 0.0223 memory: 17350 grad_norm: 8.0289 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0482 loss: 1.0482 2022/07/24 03:17:42 - mmengine - INFO - Epoch(train) [68][1240/3757] lr: 1.0000e-03 eta: 22:46:18 time: 0.7136 data_time: 0.0219 memory: 17350 grad_norm: 7.5904 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1525 loss: 1.1525 2022/07/24 03:17:54 - mmengine - INFO - Epoch(train) [68][1260/3757] lr: 1.0000e-03 eta: 22:46:04 time: 0.5683 data_time: 0.0226 memory: 17350 grad_norm: 7.6756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3070 loss: 1.3070 2022/07/24 03:18:07 - mmengine - INFO - Epoch(train) [68][1280/3757] lr: 1.0000e-03 eta: 22:45:50 time: 0.6677 data_time: 0.0215 memory: 17350 grad_norm: 7.8994 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9287 loss: 0.9287 2022/07/24 03:18:08 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 03:18:20 - mmengine - INFO - Epoch(train) [68][1300/3757] lr: 1.0000e-03 eta: 22:45:37 time: 0.6655 data_time: 0.0295 memory: 17350 grad_norm: 7.5585 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9347 loss: 0.9347 2022/07/24 03:18:34 - mmengine - INFO - Epoch(train) [68][1320/3757] lr: 1.0000e-03 eta: 22:45:24 time: 0.6980 data_time: 0.0223 memory: 17350 grad_norm: 7.9365 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2512 loss: 1.2512 2022/07/24 03:18:47 - mmengine - INFO - Epoch(train) [68][1340/3757] lr: 1.0000e-03 eta: 22:45:10 time: 0.6476 data_time: 0.0218 memory: 17350 grad_norm: 7.8205 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1998 loss: 1.1998 2022/07/24 03:19:01 - mmengine - INFO - Epoch(train) [68][1360/3757] lr: 1.0000e-03 eta: 22:44:57 time: 0.6536 data_time: 0.0214 memory: 17350 grad_norm: 7.7702 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.0799 loss: 1.0799 2022/07/24 03:19:15 - mmengine - INFO - Epoch(train) [68][1380/3757] lr: 1.0000e-03 eta: 22:44:44 time: 0.7026 data_time: 0.0227 memory: 17350 grad_norm: 7.9657 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4313 loss: 1.4313 2022/07/24 03:19:27 - mmengine - INFO - Epoch(train) [68][1400/3757] lr: 1.0000e-03 eta: 22:44:30 time: 0.6419 data_time: 0.0229 memory: 17350 grad_norm: 7.8603 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1013 loss: 1.1013 2022/07/24 03:19:41 - mmengine - INFO - Epoch(train) [68][1420/3757] lr: 1.0000e-03 eta: 22:44:17 time: 0.6728 data_time: 0.0223 memory: 17350 grad_norm: 7.5818 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9702 loss: 0.9702 2022/07/24 03:19:54 - mmengine - INFO - Epoch(train) [68][1440/3757] lr: 1.0000e-03 eta: 22:44:03 time: 0.6678 data_time: 0.0211 memory: 17350 grad_norm: 7.8176 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1068 loss: 1.1068 2022/07/24 03:20:08 - mmengine - INFO - Epoch(train) [68][1460/3757] lr: 1.0000e-03 eta: 22:43:50 time: 0.6791 data_time: 0.0222 memory: 17350 grad_norm: 7.7425 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1406 loss: 1.1406 2022/07/24 03:20:21 - mmengine - INFO - Epoch(train) [68][1480/3757] lr: 1.0000e-03 eta: 22:43:37 time: 0.6751 data_time: 0.0224 memory: 17350 grad_norm: 7.6635 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1002 loss: 1.1002 2022/07/24 03:20:35 - mmengine - INFO - Epoch(train) [68][1500/3757] lr: 1.0000e-03 eta: 22:43:23 time: 0.6584 data_time: 0.0248 memory: 17350 grad_norm: 7.5820 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0275 loss: 1.0275 2022/07/24 03:20:48 - mmengine - INFO - Epoch(train) [68][1520/3757] lr: 1.0000e-03 eta: 22:43:10 time: 0.6504 data_time: 0.0216 memory: 17350 grad_norm: 7.7410 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1488 loss: 1.1488 2022/07/24 03:21:01 - mmengine - INFO - Epoch(train) [68][1540/3757] lr: 1.0000e-03 eta: 22:42:57 time: 0.6940 data_time: 0.0248 memory: 17350 grad_norm: 7.4499 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3351 loss: 1.3351 2022/07/24 03:21:14 - mmengine - INFO - Epoch(train) [68][1560/3757] lr: 1.0000e-03 eta: 22:42:43 time: 0.6492 data_time: 0.0243 memory: 17350 grad_norm: 7.9612 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5390 loss: 1.5390 2022/07/24 03:21:28 - mmengine - INFO - Epoch(train) [68][1580/3757] lr: 1.0000e-03 eta: 22:42:30 time: 0.6973 data_time: 0.0219 memory: 17350 grad_norm: 7.6417 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2745 loss: 1.2745 2022/07/24 03:21:41 - mmengine - INFO - Epoch(train) [68][1600/3757] lr: 1.0000e-03 eta: 22:42:17 time: 0.6437 data_time: 0.0230 memory: 17350 grad_norm: 8.0656 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1045 loss: 1.1045 2022/07/24 03:21:55 - mmengine - INFO - Epoch(train) [68][1620/3757] lr: 1.0000e-03 eta: 22:42:03 time: 0.7003 data_time: 0.0213 memory: 17350 grad_norm: 7.7064 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2032 loss: 1.2032 2022/07/24 03:22:08 - mmengine - INFO - Epoch(train) [68][1640/3757] lr: 1.0000e-03 eta: 22:41:50 time: 0.6219 data_time: 0.0222 memory: 17350 grad_norm: 7.7478 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1307 loss: 1.1307 2022/07/24 03:22:22 - mmengine - INFO - Epoch(train) [68][1660/3757] lr: 1.0000e-03 eta: 22:41:37 time: 0.7002 data_time: 0.0220 memory: 17350 grad_norm: 7.8001 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0315 loss: 1.0315 2022/07/24 03:22:34 - mmengine - INFO - Epoch(train) [68][1680/3757] lr: 1.0000e-03 eta: 22:41:23 time: 0.6197 data_time: 0.0247 memory: 17350 grad_norm: 7.8905 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2775 loss: 1.2775 2022/07/24 03:22:47 - mmengine - INFO - Epoch(train) [68][1700/3757] lr: 1.0000e-03 eta: 22:41:09 time: 0.6445 data_time: 0.0227 memory: 17350 grad_norm: 7.8690 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2955 loss: 1.2955 2022/07/24 03:23:02 - mmengine - INFO - Epoch(train) [68][1720/3757] lr: 1.0000e-03 eta: 22:40:57 time: 0.7489 data_time: 0.0233 memory: 17350 grad_norm: 7.9106 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5629 loss: 1.5629 2022/07/24 03:23:14 - mmengine - INFO - Epoch(train) [68][1740/3757] lr: 1.0000e-03 eta: 22:40:43 time: 0.5992 data_time: 0.0237 memory: 17350 grad_norm: 7.9707 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2745 loss: 1.2745 2022/07/24 03:23:29 - mmengine - INFO - Epoch(train) [68][1760/3757] lr: 1.0000e-03 eta: 22:40:30 time: 0.7428 data_time: 0.0212 memory: 17350 grad_norm: 7.6691 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1799 loss: 1.1799 2022/07/24 03:23:41 - mmengine - INFO - Epoch(train) [68][1780/3757] lr: 1.0000e-03 eta: 22:40:16 time: 0.6152 data_time: 0.0230 memory: 17350 grad_norm: 7.9201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0701 loss: 1.0701 2022/07/24 03:23:55 - mmengine - INFO - Epoch(train) [68][1800/3757] lr: 1.0000e-03 eta: 22:40:03 time: 0.6780 data_time: 0.0220 memory: 17350 grad_norm: 7.8805 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2743 loss: 1.2743 2022/07/24 03:24:07 - mmengine - INFO - Epoch(train) [68][1820/3757] lr: 1.0000e-03 eta: 22:39:49 time: 0.6025 data_time: 0.0224 memory: 17350 grad_norm: 7.5599 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9813 loss: 0.9813 2022/07/24 03:24:20 - mmengine - INFO - Epoch(train) [68][1840/3757] lr: 1.0000e-03 eta: 22:39:35 time: 0.6353 data_time: 0.0261 memory: 17350 grad_norm: 7.7413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0230 loss: 1.0230 2022/07/24 03:24:33 - mmengine - INFO - Epoch(train) [68][1860/3757] lr: 1.0000e-03 eta: 22:39:22 time: 0.6838 data_time: 0.0216 memory: 17350 grad_norm: 7.5427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2411 loss: 1.2411 2022/07/24 03:24:46 - mmengine - INFO - Epoch(train) [68][1880/3757] lr: 1.0000e-03 eta: 22:39:08 time: 0.6345 data_time: 0.0232 memory: 17350 grad_norm: 7.9839 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2041 loss: 1.2041 2022/07/24 03:25:00 - mmengine - INFO - Epoch(train) [68][1900/3757] lr: 1.0000e-03 eta: 22:38:55 time: 0.6770 data_time: 0.0225 memory: 17350 grad_norm: 7.8472 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1901 loss: 1.1901 2022/07/24 03:25:13 - mmengine - INFO - Epoch(train) [68][1920/3757] lr: 1.0000e-03 eta: 22:38:42 time: 0.6800 data_time: 0.0230 memory: 17350 grad_norm: 8.0585 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2410 loss: 1.2410 2022/07/24 03:25:26 - mmengine - INFO - Epoch(train) [68][1940/3757] lr: 1.0000e-03 eta: 22:38:28 time: 0.6592 data_time: 0.0246 memory: 17350 grad_norm: 7.8571 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1694 loss: 1.1694 2022/07/24 03:25:39 - mmengine - INFO - Epoch(train) [68][1960/3757] lr: 1.0000e-03 eta: 22:38:15 time: 0.6335 data_time: 0.0239 memory: 17350 grad_norm: 7.5550 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1248 loss: 1.1248 2022/07/24 03:25:55 - mmengine - INFO - Epoch(train) [68][1980/3757] lr: 1.0000e-03 eta: 22:38:02 time: 0.7858 data_time: 0.0240 memory: 17350 grad_norm: 7.5576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1277 loss: 1.1277 2022/07/24 03:26:07 - mmengine - INFO - Epoch(train) [68][2000/3757] lr: 1.0000e-03 eta: 22:37:48 time: 0.6027 data_time: 0.0226 memory: 17350 grad_norm: 7.7576 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0185 loss: 1.0185 2022/07/24 03:26:21 - mmengine - INFO - Epoch(train) [68][2020/3757] lr: 1.0000e-03 eta: 22:37:36 time: 0.7131 data_time: 0.0222 memory: 17350 grad_norm: 7.5126 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0072 loss: 1.0072 2022/07/24 03:26:32 - mmengine - INFO - Epoch(train) [68][2040/3757] lr: 1.0000e-03 eta: 22:37:21 time: 0.5560 data_time: 0.0249 memory: 17350 grad_norm: 7.6689 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2311 loss: 1.2311 2022/07/24 03:26:47 - mmengine - INFO - Epoch(train) [68][2060/3757] lr: 1.0000e-03 eta: 22:37:08 time: 0.7222 data_time: 0.0177 memory: 17350 grad_norm: 7.5080 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2405 loss: 1.2405 2022/07/24 03:26:59 - mmengine - INFO - Epoch(train) [68][2080/3757] lr: 1.0000e-03 eta: 22:36:54 time: 0.6002 data_time: 0.0231 memory: 17350 grad_norm: 7.7914 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2479 loss: 1.2479 2022/07/24 03:27:13 - mmengine - INFO - Epoch(train) [68][2100/3757] lr: 1.0000e-03 eta: 22:36:41 time: 0.7269 data_time: 0.0217 memory: 17350 grad_norm: 7.7645 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2876 loss: 1.2876 2022/07/24 03:27:26 - mmengine - INFO - Epoch(train) [68][2120/3757] lr: 1.0000e-03 eta: 22:36:28 time: 0.6157 data_time: 0.0242 memory: 17350 grad_norm: 7.7542 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3240 loss: 1.3240 2022/07/24 03:27:40 - mmengine - INFO - Epoch(train) [68][2140/3757] lr: 1.0000e-03 eta: 22:36:15 time: 0.7037 data_time: 0.0220 memory: 17350 grad_norm: 7.8757 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0744 loss: 1.0744 2022/07/24 03:27:52 - mmengine - INFO - Epoch(train) [68][2160/3757] lr: 1.0000e-03 eta: 22:36:01 time: 0.6129 data_time: 0.0227 memory: 17350 grad_norm: 7.5255 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8730 loss: 0.8730 2022/07/24 03:28:06 - mmengine - INFO - Epoch(train) [68][2180/3757] lr: 1.0000e-03 eta: 22:35:48 time: 0.7030 data_time: 0.0442 memory: 17350 grad_norm: 7.5512 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0684 loss: 1.0684 2022/07/24 03:28:19 - mmengine - INFO - Epoch(train) [68][2200/3757] lr: 1.0000e-03 eta: 22:35:34 time: 0.6535 data_time: 0.0975 memory: 17350 grad_norm: 7.6880 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2737 loss: 1.2737 2022/07/24 03:28:33 - mmengine - INFO - Epoch(train) [68][2220/3757] lr: 1.0000e-03 eta: 22:35:21 time: 0.6915 data_time: 0.0256 memory: 17350 grad_norm: 7.8759 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3089 loss: 1.3089 2022/07/24 03:28:47 - mmengine - INFO - Epoch(train) [68][2240/3757] lr: 1.0000e-03 eta: 22:35:08 time: 0.6741 data_time: 0.0277 memory: 17350 grad_norm: 7.4836 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3031 loss: 1.3031 2022/07/24 03:28:59 - mmengine - INFO - Epoch(train) [68][2260/3757] lr: 1.0000e-03 eta: 22:34:54 time: 0.6303 data_time: 0.0221 memory: 17350 grad_norm: 7.6728 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2585 loss: 1.2585 2022/07/24 03:29:13 - mmengine - INFO - Epoch(train) [68][2280/3757] lr: 1.0000e-03 eta: 22:34:41 time: 0.6847 data_time: 0.0246 memory: 17350 grad_norm: 7.9553 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9280 loss: 0.9280 2022/07/24 03:29:13 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 03:29:26 - mmengine - INFO - Epoch(train) [68][2300/3757] lr: 1.0000e-03 eta: 22:34:27 time: 0.6379 data_time: 0.0233 memory: 17350 grad_norm: 7.4656 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2464 loss: 1.2464 2022/07/24 03:29:39 - mmengine - INFO - Epoch(train) [68][2320/3757] lr: 1.0000e-03 eta: 22:34:14 time: 0.6690 data_time: 0.0235 memory: 17350 grad_norm: 7.7789 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1172 loss: 1.1172 2022/07/24 03:29:53 - mmengine - INFO - Epoch(train) [68][2340/3757] lr: 1.0000e-03 eta: 22:34:01 time: 0.6883 data_time: 0.0244 memory: 17350 grad_norm: 8.0162 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1236 loss: 1.1236 2022/07/24 03:30:06 - mmengine - INFO - Epoch(train) [68][2360/3757] lr: 1.0000e-03 eta: 22:33:47 time: 0.6621 data_time: 0.0226 memory: 17350 grad_norm: 7.6731 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1887 loss: 1.1887 2022/07/24 03:30:19 - mmengine - INFO - Epoch(train) [68][2380/3757] lr: 1.0000e-03 eta: 22:33:34 time: 0.6299 data_time: 0.0223 memory: 17350 grad_norm: 7.5557 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3976 loss: 1.3976 2022/07/24 03:30:32 - mmengine - INFO - Epoch(train) [68][2400/3757] lr: 1.0000e-03 eta: 22:33:20 time: 0.6806 data_time: 0.0226 memory: 17350 grad_norm: 8.0445 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2173 loss: 1.2173 2022/07/24 03:30:45 - mmengine - INFO - Epoch(train) [68][2420/3757] lr: 1.0000e-03 eta: 22:33:06 time: 0.6123 data_time: 0.0374 memory: 17350 grad_norm: 7.6374 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1362 loss: 1.1362 2022/07/24 03:30:59 - mmengine - INFO - Epoch(train) [68][2440/3757] lr: 1.0000e-03 eta: 22:32:54 time: 0.7286 data_time: 0.0366 memory: 17350 grad_norm: 7.8540 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0777 loss: 1.0777 2022/07/24 03:31:11 - mmengine - INFO - Epoch(train) [68][2460/3757] lr: 1.0000e-03 eta: 22:32:40 time: 0.5892 data_time: 0.0250 memory: 17350 grad_norm: 7.6507 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0922 loss: 1.0922 2022/07/24 03:31:26 - mmengine - INFO - Epoch(train) [68][2480/3757] lr: 1.0000e-03 eta: 22:32:27 time: 0.7442 data_time: 0.0696 memory: 17350 grad_norm: 7.9238 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1194 loss: 1.1194 2022/07/24 03:31:38 - mmengine - INFO - Epoch(train) [68][2500/3757] lr: 1.0000e-03 eta: 22:32:13 time: 0.6236 data_time: 0.0625 memory: 17350 grad_norm: 7.6090 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1283 loss: 1.1283 2022/07/24 03:31:53 - mmengine - INFO - Epoch(train) [68][2520/3757] lr: 1.0000e-03 eta: 22:32:00 time: 0.7182 data_time: 0.0246 memory: 17350 grad_norm: 7.7114 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1048 loss: 1.1048 2022/07/24 03:32:06 - mmengine - INFO - Epoch(train) [68][2540/3757] lr: 1.0000e-03 eta: 22:31:47 time: 0.6416 data_time: 0.1366 memory: 17350 grad_norm: 7.7495 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2525 loss: 1.2525 2022/07/24 03:32:20 - mmengine - INFO - Epoch(train) [68][2560/3757] lr: 1.0000e-03 eta: 22:31:34 time: 0.7009 data_time: 0.1680 memory: 17350 grad_norm: 7.7954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2826 loss: 1.2826 2022/07/24 03:32:32 - mmengine - INFO - Epoch(train) [68][2580/3757] lr: 1.0000e-03 eta: 22:31:20 time: 0.6074 data_time: 0.1293 memory: 17350 grad_norm: 7.4432 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9521 loss: 0.9521 2022/07/24 03:32:46 - mmengine - INFO - Epoch(train) [68][2600/3757] lr: 1.0000e-03 eta: 22:31:07 time: 0.7082 data_time: 0.0862 memory: 17350 grad_norm: 7.9485 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3560 loss: 1.3560 2022/07/24 03:32:58 - mmengine - INFO - Epoch(train) [68][2620/3757] lr: 1.0000e-03 eta: 22:30:53 time: 0.5870 data_time: 0.1068 memory: 17350 grad_norm: 7.7836 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2250 loss: 1.2250 2022/07/24 03:33:12 - mmengine - INFO - Epoch(train) [68][2640/3757] lr: 1.0000e-03 eta: 22:30:40 time: 0.7366 data_time: 0.0221 memory: 17350 grad_norm: 7.8445 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3986 loss: 1.3986 2022/07/24 03:33:24 - mmengine - INFO - Epoch(train) [68][2660/3757] lr: 1.0000e-03 eta: 22:30:26 time: 0.5641 data_time: 0.0228 memory: 17350 grad_norm: 7.7408 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1786 loss: 1.1786 2022/07/24 03:33:38 - mmengine - INFO - Epoch(train) [68][2680/3757] lr: 1.0000e-03 eta: 22:30:13 time: 0.7309 data_time: 0.0224 memory: 17350 grad_norm: 7.9074 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0232 loss: 1.0232 2022/07/24 03:33:51 - mmengine - INFO - Epoch(train) [68][2700/3757] lr: 1.0000e-03 eta: 22:29:59 time: 0.6092 data_time: 0.0228 memory: 17350 grad_norm: 7.7825 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2036 loss: 1.2036 2022/07/24 03:34:05 - mmengine - INFO - Epoch(train) [68][2720/3757] lr: 1.0000e-03 eta: 22:29:46 time: 0.7239 data_time: 0.0241 memory: 17350 grad_norm: 7.5504 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9835 loss: 0.9835 2022/07/24 03:34:17 - mmengine - INFO - Epoch(train) [68][2740/3757] lr: 1.0000e-03 eta: 22:29:32 time: 0.5970 data_time: 0.0233 memory: 17350 grad_norm: 7.7518 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1938 loss: 1.1938 2022/07/24 03:34:32 - mmengine - INFO - Epoch(train) [68][2760/3757] lr: 1.0000e-03 eta: 22:29:19 time: 0.7337 data_time: 0.0217 memory: 17350 grad_norm: 7.7353 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9010 loss: 0.9010 2022/07/24 03:34:43 - mmengine - INFO - Epoch(train) [68][2780/3757] lr: 1.0000e-03 eta: 22:29:05 time: 0.5841 data_time: 0.0240 memory: 17350 grad_norm: 7.7931 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3124 loss: 1.3124 2022/07/24 03:34:57 - mmengine - INFO - Epoch(train) [68][2800/3757] lr: 1.0000e-03 eta: 22:28:52 time: 0.6805 data_time: 0.0216 memory: 17350 grad_norm: 7.8854 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3555 loss: 1.3555 2022/07/24 03:35:11 - mmengine - INFO - Epoch(train) [68][2820/3757] lr: 1.0000e-03 eta: 22:28:39 time: 0.6892 data_time: 0.0980 memory: 17350 grad_norm: 7.9426 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2520 loss: 1.2520 2022/07/24 03:35:25 - mmengine - INFO - Epoch(train) [68][2840/3757] lr: 1.0000e-03 eta: 22:28:26 time: 0.7014 data_time: 0.0753 memory: 17350 grad_norm: 7.6201 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1770 loss: 1.1770 2022/07/24 03:35:37 - mmengine - INFO - Epoch(train) [68][2860/3757] lr: 1.0000e-03 eta: 22:28:12 time: 0.6264 data_time: 0.0264 memory: 17350 grad_norm: 7.6646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5493 loss: 1.5493 2022/07/24 03:35:52 - mmengine - INFO - Epoch(train) [68][2880/3757] lr: 1.0000e-03 eta: 22:27:59 time: 0.7214 data_time: 0.0210 memory: 17350 grad_norm: 8.1884 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2387 loss: 1.2387 2022/07/24 03:36:04 - mmengine - INFO - Epoch(train) [68][2900/3757] lr: 1.0000e-03 eta: 22:27:45 time: 0.6054 data_time: 0.0240 memory: 17350 grad_norm: 7.8031 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1505 loss: 1.1505 2022/07/24 03:36:19 - mmengine - INFO - Epoch(train) [68][2920/3757] lr: 1.0000e-03 eta: 22:27:32 time: 0.7366 data_time: 0.0230 memory: 17350 grad_norm: 7.8898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3231 loss: 1.3231 2022/07/24 03:36:31 - mmengine - INFO - Epoch(train) [68][2940/3757] lr: 1.0000e-03 eta: 22:27:19 time: 0.6057 data_time: 0.0278 memory: 17350 grad_norm: 7.5888 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9814 loss: 0.9814 2022/07/24 03:36:45 - mmengine - INFO - Epoch(train) [68][2960/3757] lr: 1.0000e-03 eta: 22:27:06 time: 0.7149 data_time: 0.0207 memory: 17350 grad_norm: 7.7805 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0211 loss: 1.0211 2022/07/24 03:36:58 - mmengine - INFO - Epoch(train) [68][2980/3757] lr: 1.0000e-03 eta: 22:26:52 time: 0.6191 data_time: 0.0235 memory: 17350 grad_norm: 8.0160 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3582 loss: 1.3582 2022/07/24 03:37:12 - mmengine - INFO - Epoch(train) [68][3000/3757] lr: 1.0000e-03 eta: 22:26:39 time: 0.7239 data_time: 0.0259 memory: 17350 grad_norm: 7.8597 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9665 loss: 0.9665 2022/07/24 03:37:25 - mmengine - INFO - Epoch(train) [68][3020/3757] lr: 1.0000e-03 eta: 22:26:25 time: 0.6258 data_time: 0.0842 memory: 17350 grad_norm: 7.9312 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0449 loss: 1.0449 2022/07/24 03:37:38 - mmengine - INFO - Epoch(train) [68][3040/3757] lr: 1.0000e-03 eta: 22:26:12 time: 0.6812 data_time: 0.1110 memory: 17350 grad_norm: 8.1247 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1186 loss: 1.1186 2022/07/24 03:37:51 - mmengine - INFO - Epoch(train) [68][3060/3757] lr: 1.0000e-03 eta: 22:25:58 time: 0.6524 data_time: 0.0701 memory: 17350 grad_norm: 7.8768 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1243 loss: 1.1243 2022/07/24 03:38:05 - mmengine - INFO - Epoch(train) [68][3080/3757] lr: 1.0000e-03 eta: 22:25:45 time: 0.6765 data_time: 0.0236 memory: 17350 grad_norm: 7.7919 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0726 loss: 1.0726 2022/07/24 03:38:18 - mmengine - INFO - Epoch(train) [68][3100/3757] lr: 1.0000e-03 eta: 22:25:32 time: 0.6396 data_time: 0.0726 memory: 17350 grad_norm: 7.6780 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0975 loss: 1.0975 2022/07/24 03:38:32 - mmengine - INFO - Epoch(train) [68][3120/3757] lr: 1.0000e-03 eta: 22:25:19 time: 0.7198 data_time: 0.0234 memory: 17350 grad_norm: 7.7872 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1798 loss: 1.1798 2022/07/24 03:38:45 - mmengine - INFO - Epoch(train) [68][3140/3757] lr: 1.0000e-03 eta: 22:25:05 time: 0.6256 data_time: 0.0309 memory: 17350 grad_norm: 7.8789 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0881 loss: 1.0881 2022/07/24 03:38:59 - mmengine - INFO - Epoch(train) [68][3160/3757] lr: 1.0000e-03 eta: 22:24:52 time: 0.7278 data_time: 0.0529 memory: 17350 grad_norm: 7.7021 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3845 loss: 1.3845 2022/07/24 03:39:11 - mmengine - INFO - Epoch(train) [68][3180/3757] lr: 1.0000e-03 eta: 22:24:38 time: 0.6048 data_time: 0.0270 memory: 17350 grad_norm: 8.0072 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0777 loss: 1.0777 2022/07/24 03:39:26 - mmengine - INFO - Epoch(train) [68][3200/3757] lr: 1.0000e-03 eta: 22:24:25 time: 0.7300 data_time: 0.0240 memory: 17350 grad_norm: 7.7903 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6363 loss: 1.6363 2022/07/24 03:39:38 - mmengine - INFO - Epoch(train) [68][3220/3757] lr: 1.0000e-03 eta: 22:24:11 time: 0.5811 data_time: 0.0225 memory: 17350 grad_norm: 8.1503 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9725 loss: 0.9725 2022/07/24 03:39:53 - mmengine - INFO - Epoch(train) [68][3240/3757] lr: 1.0000e-03 eta: 22:23:59 time: 0.7643 data_time: 0.0217 memory: 17350 grad_norm: 7.9585 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1936 loss: 1.1936 2022/07/24 03:40:05 - mmengine - INFO - Epoch(train) [68][3260/3757] lr: 1.0000e-03 eta: 22:23:45 time: 0.5991 data_time: 0.0238 memory: 17350 grad_norm: 7.6344 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2074 loss: 1.2074 2022/07/24 03:40:19 - mmengine - INFO - Epoch(train) [68][3280/3757] lr: 1.0000e-03 eta: 22:23:32 time: 0.7288 data_time: 0.0196 memory: 17350 grad_norm: 7.8383 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9550 loss: 0.9550 2022/07/24 03:40:20 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 03:40:31 - mmengine - INFO - Epoch(train) [68][3300/3757] lr: 1.0000e-03 eta: 22:23:18 time: 0.5974 data_time: 0.0258 memory: 17350 grad_norm: 7.8467 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2735 loss: 1.2735 2022/07/24 03:40:46 - mmengine - INFO - Epoch(train) [68][3320/3757] lr: 1.0000e-03 eta: 22:23:05 time: 0.7225 data_time: 0.0238 memory: 17350 grad_norm: 7.4792 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1792 loss: 1.1792 2022/07/24 03:40:58 - mmengine - INFO - Epoch(train) [68][3340/3757] lr: 1.0000e-03 eta: 22:22:51 time: 0.6293 data_time: 0.0234 memory: 17350 grad_norm: 7.8202 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2895 loss: 1.2895 2022/07/24 03:41:13 - mmengine - INFO - Epoch(train) [68][3360/3757] lr: 1.0000e-03 eta: 22:22:39 time: 0.7393 data_time: 0.0208 memory: 17350 grad_norm: 7.7712 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1212 loss: 1.1212 2022/07/24 03:41:25 - mmengine - INFO - Epoch(train) [68][3380/3757] lr: 1.0000e-03 eta: 22:22:25 time: 0.5739 data_time: 0.0258 memory: 17350 grad_norm: 7.6325 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0753 loss: 1.0753 2022/07/24 03:41:39 - mmengine - INFO - Epoch(train) [68][3400/3757] lr: 1.0000e-03 eta: 22:22:12 time: 0.7116 data_time: 0.0216 memory: 17350 grad_norm: 7.6284 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3118 loss: 1.3118 2022/07/24 03:41:51 - mmengine - INFO - Epoch(train) [68][3420/3757] lr: 1.0000e-03 eta: 22:21:58 time: 0.5955 data_time: 0.0249 memory: 17350 grad_norm: 7.6913 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1798 loss: 1.1798 2022/07/24 03:42:05 - mmengine - INFO - Epoch(train) [68][3440/3757] lr: 1.0000e-03 eta: 22:21:45 time: 0.7202 data_time: 0.0245 memory: 17350 grad_norm: 8.1573 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3025 loss: 1.3025 2022/07/24 03:42:17 - mmengine - INFO - Epoch(train) [68][3460/3757] lr: 1.0000e-03 eta: 22:21:31 time: 0.5897 data_time: 0.0272 memory: 17350 grad_norm: 7.9318 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0848 loss: 1.0848 2022/07/24 03:42:32 - mmengine - INFO - Epoch(train) [68][3480/3757] lr: 1.0000e-03 eta: 22:21:18 time: 0.7426 data_time: 0.0299 memory: 17350 grad_norm: 7.6208 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1158 loss: 1.1158 2022/07/24 03:42:43 - mmengine - INFO - Epoch(train) [68][3500/3757] lr: 1.0000e-03 eta: 22:21:04 time: 0.5645 data_time: 0.0324 memory: 17350 grad_norm: 7.8113 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1392 loss: 1.1392 2022/07/24 03:42:57 - mmengine - INFO - Epoch(train) [68][3520/3757] lr: 1.0000e-03 eta: 22:20:51 time: 0.7047 data_time: 0.1284 memory: 17350 grad_norm: 7.9417 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1352 loss: 1.1352 2022/07/24 03:43:11 - mmengine - INFO - Epoch(train) [68][3540/3757] lr: 1.0000e-03 eta: 22:20:37 time: 0.6660 data_time: 0.2173 memory: 17350 grad_norm: 8.2397 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9934 loss: 0.9934 2022/07/24 03:43:24 - mmengine - INFO - Epoch(train) [68][3560/3757] lr: 1.0000e-03 eta: 22:20:24 time: 0.6532 data_time: 0.2270 memory: 17350 grad_norm: 7.7288 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1757 loss: 1.1757 2022/07/24 03:43:38 - mmengine - INFO - Epoch(train) [68][3580/3757] lr: 1.0000e-03 eta: 22:20:11 time: 0.7226 data_time: 0.3345 memory: 17350 grad_norm: 7.9398 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0574 loss: 1.0574 2022/07/24 03:43:52 - mmengine - INFO - Epoch(train) [68][3600/3757] lr: 1.0000e-03 eta: 22:19:57 time: 0.6585 data_time: 0.1630 memory: 17350 grad_norm: 7.6214 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0151 loss: 1.0151 2022/07/24 03:44:05 - mmengine - INFO - Epoch(train) [68][3620/3757] lr: 1.0000e-03 eta: 22:19:44 time: 0.6490 data_time: 0.1936 memory: 17350 grad_norm: 7.9889 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1717 loss: 1.1717 2022/07/24 03:44:18 - mmengine - INFO - Epoch(train) [68][3640/3757] lr: 1.0000e-03 eta: 22:19:31 time: 0.6799 data_time: 0.1186 memory: 17350 grad_norm: 7.5469 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1471 loss: 1.1471 2022/07/24 03:44:31 - mmengine - INFO - Epoch(train) [68][3660/3757] lr: 1.0000e-03 eta: 22:19:17 time: 0.6389 data_time: 0.1021 memory: 17350 grad_norm: 7.5878 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7927 loss: 0.7927 2022/07/24 03:44:45 - mmengine - INFO - Epoch(train) [68][3680/3757] lr: 1.0000e-03 eta: 22:19:04 time: 0.6878 data_time: 0.0421 memory: 17350 grad_norm: 7.8675 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0251 loss: 1.0251 2022/07/24 03:44:57 - mmengine - INFO - Epoch(train) [68][3700/3757] lr: 1.0000e-03 eta: 22:18:50 time: 0.5976 data_time: 0.0863 memory: 17350 grad_norm: 8.0258 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0837 loss: 1.0837 2022/07/24 03:45:11 - mmengine - INFO - Epoch(train) [68][3720/3757] lr: 1.0000e-03 eta: 22:18:37 time: 0.7121 data_time: 0.0709 memory: 17350 grad_norm: 7.9475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2843 loss: 1.2843 2022/07/24 03:45:25 - mmengine - INFO - Epoch(train) [68][3740/3757] lr: 1.0000e-03 eta: 22:18:24 time: 0.6803 data_time: 0.2284 memory: 17350 grad_norm: 8.0067 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8807 loss: 0.8807 2022/07/24 03:45:33 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 03:45:33 - mmengine - INFO - Epoch(train) [68][3757/3757] lr: 1.0000e-03 eta: 22:18:24 time: 0.5578 data_time: 0.1546 memory: 17350 grad_norm: 7.8422 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0509 loss: 1.0509 2022/07/24 03:45:49 - mmengine - INFO - Epoch(val) [68][20/310] eta: 0:03:57 time: 0.8204 data_time: 0.7069 memory: 3406 2022/07/24 03:46:00 - mmengine - INFO - Epoch(val) [68][40/310] eta: 0:02:25 time: 0.5385 data_time: 0.4256 memory: 3406 2022/07/24 03:46:16 - mmengine - INFO - Epoch(val) [68][60/310] eta: 0:03:14 time: 0.7764 data_time: 0.6627 memory: 3406 2022/07/24 03:46:26 - mmengine - INFO - Epoch(val) [68][80/310] eta: 0:01:59 time: 0.5209 data_time: 0.4067 memory: 3406 2022/07/24 03:46:42 - mmengine - INFO - Epoch(val) [68][100/310] eta: 0:02:51 time: 0.8151 data_time: 0.7017 memory: 3406 2022/07/24 03:46:53 - mmengine - INFO - Epoch(val) [68][120/310] eta: 0:01:45 time: 0.5569 data_time: 0.4431 memory: 3406 2022/07/24 03:47:09 - mmengine - INFO - Epoch(val) [68][140/310] eta: 0:02:11 time: 0.7750 data_time: 0.6601 memory: 3406 2022/07/24 03:47:20 - mmengine - INFO - Epoch(val) [68][160/310] eta: 0:01:19 time: 0.5317 data_time: 0.4179 memory: 3406 2022/07/24 03:47:35 - mmengine - INFO - Epoch(val) [68][180/310] eta: 0:01:42 time: 0.7874 data_time: 0.6726 memory: 3406 2022/07/24 03:47:46 - mmengine - INFO - Epoch(val) [68][200/310] eta: 0:00:59 time: 0.5449 data_time: 0.4311 memory: 3406 2022/07/24 03:48:02 - mmengine - INFO - Epoch(val) [68][220/310] eta: 0:01:09 time: 0.7741 data_time: 0.6564 memory: 3406 2022/07/24 03:48:13 - mmengine - INFO - Epoch(val) [68][240/310] eta: 0:00:39 time: 0.5692 data_time: 0.4540 memory: 3406 2022/07/24 03:48:28 - mmengine - INFO - Epoch(val) [68][260/310] eta: 0:00:37 time: 0.7487 data_time: 0.6334 memory: 3406 2022/07/24 03:48:39 - mmengine - INFO - Epoch(val) [68][280/310] eta: 0:00:16 time: 0.5632 data_time: 0.4509 memory: 3406 2022/07/24 03:48:54 - mmengine - INFO - Epoch(val) [68][300/310] eta: 0:00:07 time: 0.7485 data_time: 0.6293 memory: 3406 2022/07/24 03:48:58 - mmengine - INFO - Epoch(val) [68][310/310] acc/top1: 0.6803 acc/top5: 0.8734 acc/mean1: 0.6803 2022/07/24 03:49:16 - mmengine - INFO - Epoch(train) [69][20/3757] lr: 1.0000e-03 eta: 22:17:56 time: 0.9036 data_time: 0.4473 memory: 17350 grad_norm: 7.7950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2997 loss: 1.2997 2022/07/24 03:49:28 - mmengine - INFO - Epoch(train) [69][40/3757] lr: 1.0000e-03 eta: 22:17:42 time: 0.5907 data_time: 0.1846 memory: 17350 grad_norm: 7.7665 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0334 loss: 1.0334 2022/07/24 03:49:43 - mmengine - INFO - Epoch(train) [69][60/3757] lr: 1.0000e-03 eta: 22:17:29 time: 0.7286 data_time: 0.3116 memory: 17350 grad_norm: 7.7670 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1514 loss: 1.1514 2022/07/24 03:49:55 - mmengine - INFO - Epoch(train) [69][80/3757] lr: 1.0000e-03 eta: 22:17:15 time: 0.6215 data_time: 0.2835 memory: 17350 grad_norm: 7.7200 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2439 loss: 1.2439 2022/07/24 03:50:11 - mmengine - INFO - Epoch(train) [69][100/3757] lr: 1.0000e-03 eta: 22:17:03 time: 0.7817 data_time: 0.3525 memory: 17350 grad_norm: 8.1342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1681 loss: 1.1681 2022/07/24 03:50:23 - mmengine - INFO - Epoch(train) [69][120/3757] lr: 1.0000e-03 eta: 22:16:49 time: 0.6016 data_time: 0.1478 memory: 17350 grad_norm: 7.8074 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2265 loss: 1.2265 2022/07/24 03:50:38 - mmengine - INFO - Epoch(train) [69][140/3757] lr: 1.0000e-03 eta: 22:16:36 time: 0.7361 data_time: 0.3002 memory: 17350 grad_norm: 8.0530 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2430 loss: 1.2430 2022/07/24 03:50:50 - mmengine - INFO - Epoch(train) [69][160/3757] lr: 1.0000e-03 eta: 22:16:22 time: 0.5990 data_time: 0.2676 memory: 17350 grad_norm: 7.9241 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1027 loss: 1.1027 2022/07/24 03:51:05 - mmengine - INFO - Epoch(train) [69][180/3757] lr: 1.0000e-03 eta: 22:16:10 time: 0.7661 data_time: 0.4312 memory: 17350 grad_norm: 7.6655 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1100 loss: 1.1100 2022/07/24 03:51:17 - mmengine - INFO - Epoch(train) [69][200/3757] lr: 1.0000e-03 eta: 22:15:56 time: 0.5969 data_time: 0.2629 memory: 17350 grad_norm: 7.6175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9858 loss: 0.9858 2022/07/24 03:51:31 - mmengine - INFO - Epoch(train) [69][220/3757] lr: 1.0000e-03 eta: 22:15:43 time: 0.7180 data_time: 0.3829 memory: 17350 grad_norm: 7.5539 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2598 loss: 1.2598 2022/07/24 03:51:44 - mmengine - INFO - Epoch(train) [69][240/3757] lr: 1.0000e-03 eta: 22:15:29 time: 0.6248 data_time: 0.2918 memory: 17350 grad_norm: 7.8893 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3287 loss: 1.3287 2022/07/24 03:51:58 - mmengine - INFO - Epoch(train) [69][260/3757] lr: 1.0000e-03 eta: 22:15:16 time: 0.7022 data_time: 0.3565 memory: 17350 grad_norm: 8.0920 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3017 loss: 1.3017 2022/07/24 03:52:10 - mmengine - INFO - Epoch(train) [69][280/3757] lr: 1.0000e-03 eta: 22:15:02 time: 0.5992 data_time: 0.2652 memory: 17350 grad_norm: 7.4988 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1768 loss: 1.1768 2022/07/24 03:52:26 - mmengine - INFO - Epoch(train) [69][300/3757] lr: 1.0000e-03 eta: 22:14:50 time: 0.7954 data_time: 0.4614 memory: 17350 grad_norm: 7.8650 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2036 loss: 1.2036 2022/07/24 03:52:38 - mmengine - INFO - Epoch(train) [69][320/3757] lr: 1.0000e-03 eta: 22:14:36 time: 0.5900 data_time: 0.2546 memory: 17350 grad_norm: 7.9961 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1000 loss: 1.1000 2022/07/24 03:52:52 - mmengine - INFO - Epoch(train) [69][340/3757] lr: 1.0000e-03 eta: 22:14:23 time: 0.7330 data_time: 0.3917 memory: 17350 grad_norm: 7.8611 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2271 loss: 1.2271 2022/07/24 03:53:04 - mmengine - INFO - Epoch(train) [69][360/3757] lr: 1.0000e-03 eta: 22:14:09 time: 0.5946 data_time: 0.2585 memory: 17350 grad_norm: 7.7072 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1953 loss: 1.1953 2022/07/24 03:53:19 - mmengine - INFO - Epoch(train) [69][380/3757] lr: 1.0000e-03 eta: 22:13:56 time: 0.7144 data_time: 0.3753 memory: 17350 grad_norm: 7.5412 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0612 loss: 1.0612 2022/07/24 03:53:30 - mmengine - INFO - Epoch(train) [69][400/3757] lr: 1.0000e-03 eta: 22:13:42 time: 0.5934 data_time: 0.2580 memory: 17350 grad_norm: 7.7851 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9935 loss: 0.9935 2022/07/24 03:53:45 - mmengine - INFO - Epoch(train) [69][420/3757] lr: 1.0000e-03 eta: 22:13:29 time: 0.7472 data_time: 0.4068 memory: 17350 grad_norm: 7.8121 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0612 loss: 1.0612 2022/07/24 03:53:57 - mmengine - INFO - Epoch(train) [69][440/3757] lr: 1.0000e-03 eta: 22:13:15 time: 0.5692 data_time: 0.2250 memory: 17350 grad_norm: 7.7840 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0942 loss: 1.0942 2022/07/24 03:54:11 - mmengine - INFO - Epoch(train) [69][460/3757] lr: 1.0000e-03 eta: 22:13:02 time: 0.7184 data_time: 0.3814 memory: 17350 grad_norm: 7.4333 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0307 loss: 1.0307 2022/07/24 03:54:23 - mmengine - INFO - Epoch(train) [69][480/3757] lr: 1.0000e-03 eta: 22:12:48 time: 0.5929 data_time: 0.2545 memory: 17350 grad_norm: 7.9451 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3451 loss: 1.3451 2022/07/24 03:54:37 - mmengine - INFO - Epoch(train) [69][500/3757] lr: 1.0000e-03 eta: 22:12:35 time: 0.7145 data_time: 0.3691 memory: 17350 grad_norm: 7.8953 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3604 loss: 1.3604 2022/07/24 03:54:50 - mmengine - INFO - Epoch(train) [69][520/3757] lr: 1.0000e-03 eta: 22:12:21 time: 0.6092 data_time: 0.2724 memory: 17350 grad_norm: 7.3505 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9541 loss: 0.9541 2022/07/24 03:54:54 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 03:55:05 - mmengine - INFO - Epoch(train) [69][540/3757] lr: 1.0000e-03 eta: 22:12:09 time: 0.7807 data_time: 0.4406 memory: 17350 grad_norm: 7.7364 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2846 loss: 1.2846 2022/07/24 03:55:17 - mmengine - INFO - Epoch(train) [69][560/3757] lr: 1.0000e-03 eta: 22:11:55 time: 0.5945 data_time: 0.2515 memory: 17350 grad_norm: 7.3712 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9750 loss: 0.9750 2022/07/24 03:55:32 - mmengine - INFO - Epoch(train) [69][580/3757] lr: 1.0000e-03 eta: 22:11:42 time: 0.7170 data_time: 0.3810 memory: 17350 grad_norm: 7.6626 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0154 loss: 1.0154 2022/07/24 03:55:43 - mmengine - INFO - Epoch(train) [69][600/3757] lr: 1.0000e-03 eta: 22:11:28 time: 0.5551 data_time: 0.2204 memory: 17350 grad_norm: 8.0465 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1667 loss: 1.1667 2022/07/24 03:55:57 - mmengine - INFO - Epoch(train) [69][620/3757] lr: 1.0000e-03 eta: 22:11:15 time: 0.7273 data_time: 0.3777 memory: 17350 grad_norm: 7.7879 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0723 loss: 1.0723 2022/07/24 03:56:10 - mmengine - INFO - Epoch(train) [69][640/3757] lr: 1.0000e-03 eta: 22:11:01 time: 0.6297 data_time: 0.2952 memory: 17350 grad_norm: 8.0760 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0760 loss: 1.0760 2022/07/24 03:56:24 - mmengine - INFO - Epoch(train) [69][660/3757] lr: 1.0000e-03 eta: 22:10:48 time: 0.7210 data_time: 0.3745 memory: 17350 grad_norm: 7.5787 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0776 loss: 1.0776 2022/07/24 03:56:37 - mmengine - INFO - Epoch(train) [69][680/3757] lr: 1.0000e-03 eta: 22:10:35 time: 0.6453 data_time: 0.3055 memory: 17350 grad_norm: 7.5567 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0352 loss: 1.0352 2022/07/24 03:56:52 - mmengine - INFO - Epoch(train) [69][700/3757] lr: 1.0000e-03 eta: 22:10:22 time: 0.7206 data_time: 0.3751 memory: 17350 grad_norm: 7.8292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3608 loss: 1.3608 2022/07/24 03:57:04 - mmengine - INFO - Epoch(train) [69][720/3757] lr: 1.0000e-03 eta: 22:10:08 time: 0.6251 data_time: 0.2047 memory: 17350 grad_norm: 7.6426 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1995 loss: 1.1995 2022/07/24 03:57:19 - mmengine - INFO - Epoch(train) [69][740/3757] lr: 1.0000e-03 eta: 22:09:55 time: 0.7236 data_time: 0.2751 memory: 17350 grad_norm: 8.0646 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3563 loss: 1.3563 2022/07/24 03:57:30 - mmengine - INFO - Epoch(train) [69][760/3757] lr: 1.0000e-03 eta: 22:09:41 time: 0.5860 data_time: 0.1851 memory: 17350 grad_norm: 7.9917 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1727 loss: 1.1727 2022/07/24 03:57:44 - mmengine - INFO - Epoch(train) [69][780/3757] lr: 1.0000e-03 eta: 22:09:28 time: 0.6987 data_time: 0.3121 memory: 17350 grad_norm: 7.5893 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9239 loss: 0.9239 2022/07/24 03:57:57 - mmengine - INFO - Epoch(train) [69][800/3757] lr: 1.0000e-03 eta: 22:09:14 time: 0.6285 data_time: 0.2942 memory: 17350 grad_norm: 7.7064 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2154 loss: 1.2154 2022/07/24 03:58:11 - mmengine - INFO - Epoch(train) [69][820/3757] lr: 1.0000e-03 eta: 22:09:01 time: 0.7085 data_time: 0.3707 memory: 17350 grad_norm: 7.7302 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1159 loss: 1.1159 2022/07/24 03:58:23 - mmengine - INFO - Epoch(train) [69][840/3757] lr: 1.0000e-03 eta: 22:08:48 time: 0.6124 data_time: 0.2737 memory: 17350 grad_norm: 7.7650 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0597 loss: 1.0597 2022/07/24 03:58:38 - mmengine - INFO - Epoch(train) [69][860/3757] lr: 1.0000e-03 eta: 22:08:35 time: 0.7341 data_time: 0.3951 memory: 17350 grad_norm: 7.6668 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1481 loss: 1.1481 2022/07/24 03:58:50 - mmengine - INFO - Epoch(train) [69][880/3757] lr: 1.0000e-03 eta: 22:08:21 time: 0.6022 data_time: 0.2649 memory: 17350 grad_norm: 7.6461 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1437 loss: 1.1437 2022/07/24 03:59:05 - mmengine - INFO - Epoch(train) [69][900/3757] lr: 1.0000e-03 eta: 22:08:08 time: 0.7282 data_time: 0.3873 memory: 17350 grad_norm: 7.6772 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4688 loss: 1.4688 2022/07/24 03:59:17 - mmengine - INFO - Epoch(train) [69][920/3757] lr: 1.0000e-03 eta: 22:07:54 time: 0.5937 data_time: 0.2576 memory: 17350 grad_norm: 7.7006 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1400 loss: 1.1400 2022/07/24 03:59:30 - mmengine - INFO - Epoch(train) [69][940/3757] lr: 1.0000e-03 eta: 22:07:41 time: 0.6811 data_time: 0.3444 memory: 17350 grad_norm: 7.6974 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2907 loss: 1.2907 2022/07/24 03:59:43 - mmengine - INFO - Epoch(train) [69][960/3757] lr: 1.0000e-03 eta: 22:07:27 time: 0.6311 data_time: 0.2915 memory: 17350 grad_norm: 7.7923 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1837 loss: 1.1837 2022/07/24 03:59:57 - mmengine - INFO - Epoch(train) [69][980/3757] lr: 1.0000e-03 eta: 22:07:14 time: 0.6828 data_time: 0.3452 memory: 17350 grad_norm: 7.9729 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0705 loss: 1.0705 2022/07/24 04:00:09 - mmengine - INFO - Epoch(train) [69][1000/3757] lr: 1.0000e-03 eta: 22:07:00 time: 0.6314 data_time: 0.2949 memory: 17350 grad_norm: 7.6514 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0069 loss: 1.0069 2022/07/24 04:00:24 - mmengine - INFO - Epoch(train) [69][1020/3757] lr: 1.0000e-03 eta: 22:06:47 time: 0.7168 data_time: 0.3756 memory: 17350 grad_norm: 7.7715 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2291 loss: 1.2291 2022/07/24 04:00:35 - mmengine - INFO - Epoch(train) [69][1040/3757] lr: 1.0000e-03 eta: 22:06:33 time: 0.5919 data_time: 0.2520 memory: 17350 grad_norm: 7.8174 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0173 loss: 1.0173 2022/07/24 04:00:50 - mmengine - INFO - Epoch(train) [69][1060/3757] lr: 1.0000e-03 eta: 22:06:20 time: 0.7257 data_time: 0.3722 memory: 17350 grad_norm: 7.5619 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1203 loss: 1.1203 2022/07/24 04:01:02 - mmengine - INFO - Epoch(train) [69][1080/3757] lr: 1.0000e-03 eta: 22:06:07 time: 0.6172 data_time: 0.2014 memory: 17350 grad_norm: 8.0066 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9110 loss: 0.9110 2022/07/24 04:01:16 - mmengine - INFO - Epoch(train) [69][1100/3757] lr: 1.0000e-03 eta: 22:05:53 time: 0.6971 data_time: 0.1645 memory: 17350 grad_norm: 7.9691 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1759 loss: 1.1759 2022/07/24 04:01:29 - mmengine - INFO - Epoch(train) [69][1120/3757] lr: 1.0000e-03 eta: 22:05:40 time: 0.6425 data_time: 0.0225 memory: 17350 grad_norm: 7.8057 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1394 loss: 1.1394 2022/07/24 04:01:43 - mmengine - INFO - Epoch(train) [69][1140/3757] lr: 1.0000e-03 eta: 22:05:27 time: 0.6885 data_time: 0.0384 memory: 17350 grad_norm: 7.9968 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2901 loss: 1.2901 2022/07/24 04:01:56 - mmengine - INFO - Epoch(train) [69][1160/3757] lr: 1.0000e-03 eta: 22:05:13 time: 0.6486 data_time: 0.0483 memory: 17350 grad_norm: 7.7776 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1018 loss: 1.1018 2022/07/24 04:02:10 - mmengine - INFO - Epoch(train) [69][1180/3757] lr: 1.0000e-03 eta: 22:05:00 time: 0.6869 data_time: 0.0211 memory: 17350 grad_norm: 7.7987 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0589 loss: 1.0589 2022/07/24 04:02:22 - mmengine - INFO - Epoch(train) [69][1200/3757] lr: 1.0000e-03 eta: 22:04:46 time: 0.6141 data_time: 0.0229 memory: 17350 grad_norm: 7.6477 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1807 loss: 1.1807 2022/07/24 04:02:36 - mmengine - INFO - Epoch(train) [69][1220/3757] lr: 1.0000e-03 eta: 22:04:33 time: 0.7181 data_time: 0.0214 memory: 17350 grad_norm: 7.5776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0700 loss: 1.0700 2022/07/24 04:02:49 - mmengine - INFO - Epoch(train) [69][1240/3757] lr: 1.0000e-03 eta: 22:04:20 time: 0.6335 data_time: 0.0245 memory: 17350 grad_norm: 7.5613 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2160 loss: 1.2160 2022/07/24 04:03:03 - mmengine - INFO - Epoch(train) [69][1260/3757] lr: 1.0000e-03 eta: 22:04:07 time: 0.7243 data_time: 0.0226 memory: 17350 grad_norm: 7.8901 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0987 loss: 1.0987 2022/07/24 04:03:15 - mmengine - INFO - Epoch(train) [69][1280/3757] lr: 1.0000e-03 eta: 22:03:53 time: 0.5822 data_time: 0.0242 memory: 17350 grad_norm: 7.6580 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0600 loss: 1.0600 2022/07/24 04:03:30 - mmengine - INFO - Epoch(train) [69][1300/3757] lr: 1.0000e-03 eta: 22:03:40 time: 0.7239 data_time: 0.0223 memory: 17350 grad_norm: 7.8794 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1607 loss: 1.1607 2022/07/24 04:03:41 - mmengine - INFO - Epoch(train) [69][1320/3757] lr: 1.0000e-03 eta: 22:03:25 time: 0.5642 data_time: 0.0202 memory: 17350 grad_norm: 7.8258 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0880 loss: 1.0880 2022/07/24 04:03:56 - mmengine - INFO - Epoch(train) [69][1340/3757] lr: 1.0000e-03 eta: 22:03:13 time: 0.7509 data_time: 0.0391 memory: 17350 grad_norm: 7.6929 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0815 loss: 1.0815 2022/07/24 04:04:08 - mmengine - INFO - Epoch(train) [69][1360/3757] lr: 1.0000e-03 eta: 22:02:59 time: 0.5942 data_time: 0.0721 memory: 17350 grad_norm: 8.0018 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2946 loss: 1.2946 2022/07/24 04:04:22 - mmengine - INFO - Epoch(train) [69][1380/3757] lr: 1.0000e-03 eta: 22:02:46 time: 0.7082 data_time: 0.0849 memory: 17350 grad_norm: 7.7987 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9800 loss: 0.9800 2022/07/24 04:04:34 - mmengine - INFO - Epoch(train) [69][1400/3757] lr: 1.0000e-03 eta: 22:02:32 time: 0.6044 data_time: 0.0832 memory: 17350 grad_norm: 7.7857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9858 loss: 0.9858 2022/07/24 04:04:48 - mmengine - INFO - Epoch(train) [69][1420/3757] lr: 1.0000e-03 eta: 22:02:19 time: 0.7027 data_time: 0.0662 memory: 17350 grad_norm: 7.5958 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9750 loss: 0.9750 2022/07/24 04:05:01 - mmengine - INFO - Epoch(train) [69][1440/3757] lr: 1.0000e-03 eta: 22:02:05 time: 0.6246 data_time: 0.0533 memory: 17350 grad_norm: 7.9946 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1565 loss: 1.1565 2022/07/24 04:05:16 - mmengine - INFO - Epoch(train) [69][1460/3757] lr: 1.0000e-03 eta: 22:01:53 time: 0.7809 data_time: 0.1457 memory: 17350 grad_norm: 8.0912 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1559 loss: 1.1559 2022/07/24 04:05:29 - mmengine - INFO - Epoch(train) [69][1480/3757] lr: 1.0000e-03 eta: 22:01:39 time: 0.6179 data_time: 0.1387 memory: 17350 grad_norm: 7.8266 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8782 loss: 0.8782 2022/07/24 04:05:43 - mmengine - INFO - Epoch(train) [69][1500/3757] lr: 1.0000e-03 eta: 22:01:26 time: 0.7334 data_time: 0.2808 memory: 17350 grad_norm: 7.8999 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1829 loss: 1.1829 2022/07/24 04:05:56 - mmengine - INFO - Epoch(train) [69][1520/3757] lr: 1.0000e-03 eta: 22:01:12 time: 0.6105 data_time: 0.1778 memory: 17350 grad_norm: 7.5921 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2470 loss: 1.2470 2022/07/24 04:05:59 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 04:06:10 - mmengine - INFO - Epoch(train) [69][1540/3757] lr: 1.0000e-03 eta: 22:00:59 time: 0.7016 data_time: 0.1692 memory: 17350 grad_norm: 8.2666 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0915 loss: 1.0915 2022/07/24 04:06:22 - mmengine - INFO - Epoch(train) [69][1560/3757] lr: 1.0000e-03 eta: 22:00:46 time: 0.6285 data_time: 0.1433 memory: 17350 grad_norm: 7.7596 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1015 loss: 1.1015 2022/07/24 04:06:37 - mmengine - INFO - Epoch(train) [69][1580/3757] lr: 1.0000e-03 eta: 22:00:33 time: 0.7288 data_time: 0.1362 memory: 17350 grad_norm: 7.7089 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9833 loss: 0.9833 2022/07/24 04:06:49 - mmengine - INFO - Epoch(train) [69][1600/3757] lr: 1.0000e-03 eta: 22:00:19 time: 0.5982 data_time: 0.1189 memory: 17350 grad_norm: 7.8105 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0747 loss: 1.0747 2022/07/24 04:07:03 - mmengine - INFO - Epoch(train) [69][1620/3757] lr: 1.0000e-03 eta: 22:00:06 time: 0.7275 data_time: 0.1756 memory: 17350 grad_norm: 7.7945 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7613 loss: 0.7613 2022/07/24 04:07:16 - mmengine - INFO - Epoch(train) [69][1640/3757] lr: 1.0000e-03 eta: 21:59:52 time: 0.6271 data_time: 0.1132 memory: 17350 grad_norm: 7.9384 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1847 loss: 1.1847 2022/07/24 04:07:30 - mmengine - INFO - Epoch(train) [69][1660/3757] lr: 1.0000e-03 eta: 21:59:39 time: 0.6991 data_time: 0.1546 memory: 17350 grad_norm: 8.0943 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3281 loss: 1.3281 2022/07/24 04:07:42 - mmengine - INFO - Epoch(train) [69][1680/3757] lr: 1.0000e-03 eta: 21:59:25 time: 0.5896 data_time: 0.1629 memory: 17350 grad_norm: 7.5270 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2110 loss: 1.2110 2022/07/24 04:07:57 - mmengine - INFO - Epoch(train) [69][1700/3757] lr: 1.0000e-03 eta: 21:59:12 time: 0.7515 data_time: 0.2627 memory: 17350 grad_norm: 7.9458 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3801 loss: 1.3801 2022/07/24 04:08:09 - mmengine - INFO - Epoch(train) [69][1720/3757] lr: 1.0000e-03 eta: 21:58:58 time: 0.5952 data_time: 0.1314 memory: 17350 grad_norm: 7.6236 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1219 loss: 1.1219 2022/07/24 04:08:23 - mmengine - INFO - Epoch(train) [69][1740/3757] lr: 1.0000e-03 eta: 21:58:46 time: 0.7189 data_time: 0.1975 memory: 17350 grad_norm: 7.8757 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1717 loss: 1.1717 2022/07/24 04:08:36 - mmengine - INFO - Epoch(train) [69][1760/3757] lr: 1.0000e-03 eta: 21:58:32 time: 0.6454 data_time: 0.1388 memory: 17350 grad_norm: 7.6636 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1053 loss: 1.1053 2022/07/24 04:08:50 - mmengine - INFO - Epoch(train) [69][1780/3757] lr: 1.0000e-03 eta: 21:58:19 time: 0.6752 data_time: 0.0593 memory: 17350 grad_norm: 7.9198 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2192 loss: 1.2192 2022/07/24 04:09:03 - mmengine - INFO - Epoch(train) [69][1800/3757] lr: 1.0000e-03 eta: 21:58:05 time: 0.6720 data_time: 0.0626 memory: 17350 grad_norm: 7.9395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1741 loss: 1.1741 2022/07/24 04:09:16 - mmengine - INFO - Epoch(train) [69][1820/3757] lr: 1.0000e-03 eta: 21:57:52 time: 0.6639 data_time: 0.0659 memory: 17350 grad_norm: 7.7706 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0479 loss: 1.0479 2022/07/24 04:09:29 - mmengine - INFO - Epoch(train) [69][1840/3757] lr: 1.0000e-03 eta: 21:57:38 time: 0.6226 data_time: 0.1304 memory: 17350 grad_norm: 7.9812 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4636 loss: 1.4636 2022/07/24 04:09:43 - mmengine - INFO - Epoch(train) [69][1860/3757] lr: 1.0000e-03 eta: 21:57:25 time: 0.7150 data_time: 0.2478 memory: 17350 grad_norm: 7.9788 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2417 loss: 1.2417 2022/07/24 04:09:55 - mmengine - INFO - Epoch(train) [69][1880/3757] lr: 1.0000e-03 eta: 21:57:11 time: 0.5865 data_time: 0.2067 memory: 17350 grad_norm: 7.7974 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1044 loss: 1.1044 2022/07/24 04:10:10 - mmengine - INFO - Epoch(train) [69][1900/3757] lr: 1.0000e-03 eta: 21:56:59 time: 0.7453 data_time: 0.2683 memory: 17350 grad_norm: 7.7303 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2595 loss: 1.2595 2022/07/24 04:10:22 - mmengine - INFO - Epoch(train) [69][1920/3757] lr: 1.0000e-03 eta: 21:56:45 time: 0.6021 data_time: 0.1542 memory: 17350 grad_norm: 8.1565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2455 loss: 1.2455 2022/07/24 04:10:36 - mmengine - INFO - Epoch(train) [69][1940/3757] lr: 1.0000e-03 eta: 21:56:32 time: 0.7090 data_time: 0.1023 memory: 17350 grad_norm: 7.9313 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0883 loss: 1.0883 2022/07/24 04:10:48 - mmengine - INFO - Epoch(train) [69][1960/3757] lr: 1.0000e-03 eta: 21:56:18 time: 0.5984 data_time: 0.0689 memory: 17350 grad_norm: 7.9720 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1245 loss: 1.1245 2022/07/24 04:11:02 - mmengine - INFO - Epoch(train) [69][1980/3757] lr: 1.0000e-03 eta: 21:56:04 time: 0.6881 data_time: 0.1543 memory: 17350 grad_norm: 8.0451 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3077 loss: 1.3077 2022/07/24 04:11:14 - mmengine - INFO - Epoch(train) [69][2000/3757] lr: 1.0000e-03 eta: 21:55:51 time: 0.6303 data_time: 0.0810 memory: 17350 grad_norm: 7.9574 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2759 loss: 1.2759 2022/07/24 04:11:27 - mmengine - INFO - Epoch(train) [69][2020/3757] lr: 1.0000e-03 eta: 21:55:37 time: 0.6448 data_time: 0.0562 memory: 17350 grad_norm: 7.8868 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0409 loss: 1.0409 2022/07/24 04:11:42 - mmengine - INFO - Epoch(train) [69][2040/3757] lr: 1.0000e-03 eta: 21:55:24 time: 0.7320 data_time: 0.0363 memory: 17350 grad_norm: 7.5826 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2013 loss: 1.2013 2022/07/24 04:11:54 - mmengine - INFO - Epoch(train) [69][2060/3757] lr: 1.0000e-03 eta: 21:55:11 time: 0.6189 data_time: 0.0564 memory: 17350 grad_norm: 7.9186 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3693 loss: 1.3693 2022/07/24 04:12:08 - mmengine - INFO - Epoch(train) [69][2080/3757] lr: 1.0000e-03 eta: 21:54:57 time: 0.6806 data_time: 0.0423 memory: 17350 grad_norm: 7.5826 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2547 loss: 1.2547 2022/07/24 04:12:21 - mmengine - INFO - Epoch(train) [69][2100/3757] lr: 1.0000e-03 eta: 21:54:44 time: 0.6601 data_time: 0.0217 memory: 17350 grad_norm: 7.7315 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1324 loss: 1.1324 2022/07/24 04:12:34 - mmengine - INFO - Epoch(train) [69][2120/3757] lr: 1.0000e-03 eta: 21:54:31 time: 0.6562 data_time: 0.0239 memory: 17350 grad_norm: 7.7922 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9718 loss: 0.9718 2022/07/24 04:12:48 - mmengine - INFO - Epoch(train) [69][2140/3757] lr: 1.0000e-03 eta: 21:54:17 time: 0.6695 data_time: 0.0228 memory: 17350 grad_norm: 8.0046 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9997 loss: 0.9997 2022/07/24 04:13:02 - mmengine - INFO - Epoch(train) [69][2160/3757] lr: 1.0000e-03 eta: 21:54:04 time: 0.6997 data_time: 0.0402 memory: 17350 grad_norm: 7.5705 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0341 loss: 1.0341 2022/07/24 04:13:14 - mmengine - INFO - Epoch(train) [69][2180/3757] lr: 1.0000e-03 eta: 21:53:50 time: 0.6318 data_time: 0.0234 memory: 17350 grad_norm: 7.9624 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1328 loss: 1.1328 2022/07/24 04:13:28 - mmengine - INFO - Epoch(train) [69][2200/3757] lr: 1.0000e-03 eta: 21:53:37 time: 0.6984 data_time: 0.0230 memory: 17350 grad_norm: 7.5768 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2049 loss: 1.2049 2022/07/24 04:13:41 - mmengine - INFO - Epoch(train) [69][2220/3757] lr: 1.0000e-03 eta: 21:53:23 time: 0.6050 data_time: 0.0356 memory: 17350 grad_norm: 7.7063 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3570 loss: 1.3570 2022/07/24 04:13:54 - mmengine - INFO - Epoch(train) [69][2240/3757] lr: 1.0000e-03 eta: 21:53:10 time: 0.6723 data_time: 0.0680 memory: 17350 grad_norm: 7.5950 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1667 loss: 1.1667 2022/07/24 04:14:08 - mmengine - INFO - Epoch(train) [69][2260/3757] lr: 1.0000e-03 eta: 21:52:57 time: 0.6835 data_time: 0.0221 memory: 17350 grad_norm: 7.4873 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2879 loss: 1.2879 2022/07/24 04:14:21 - mmengine - INFO - Epoch(train) [69][2280/3757] lr: 1.0000e-03 eta: 21:52:44 time: 0.6729 data_time: 0.0212 memory: 17350 grad_norm: 7.8075 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2488 loss: 1.2488 2022/07/24 04:14:34 - mmengine - INFO - Epoch(train) [69][2300/3757] lr: 1.0000e-03 eta: 21:52:30 time: 0.6644 data_time: 0.0216 memory: 17350 grad_norm: 8.0375 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1003 loss: 1.1003 2022/07/24 04:14:48 - mmengine - INFO - Epoch(train) [69][2320/3757] lr: 1.0000e-03 eta: 21:52:17 time: 0.6780 data_time: 0.0221 memory: 17350 grad_norm: 7.5458 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0371 loss: 1.0371 2022/07/24 04:15:02 - mmengine - INFO - Epoch(train) [69][2340/3757] lr: 1.0000e-03 eta: 21:52:04 time: 0.6771 data_time: 0.0217 memory: 17350 grad_norm: 8.0326 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1482 loss: 1.1482 2022/07/24 04:15:15 - mmengine - INFO - Epoch(train) [69][2360/3757] lr: 1.0000e-03 eta: 21:51:50 time: 0.6763 data_time: 0.0270 memory: 17350 grad_norm: 7.4686 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1647 loss: 1.1647 2022/07/24 04:15:29 - mmengine - INFO - Epoch(train) [69][2380/3757] lr: 1.0000e-03 eta: 21:51:37 time: 0.6924 data_time: 0.0229 memory: 17350 grad_norm: 7.8838 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1955 loss: 1.1955 2022/07/24 04:15:41 - mmengine - INFO - Epoch(train) [69][2400/3757] lr: 1.0000e-03 eta: 21:51:23 time: 0.6173 data_time: 0.0224 memory: 17350 grad_norm: 7.8865 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1124 loss: 1.1124 2022/07/24 04:15:55 - mmengine - INFO - Epoch(train) [69][2420/3757] lr: 1.0000e-03 eta: 21:51:10 time: 0.6718 data_time: 0.0237 memory: 17350 grad_norm: 7.3430 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1719 loss: 1.1719 2022/07/24 04:16:07 - mmengine - INFO - Epoch(train) [69][2440/3757] lr: 1.0000e-03 eta: 21:50:56 time: 0.6269 data_time: 0.0490 memory: 17350 grad_norm: 7.4907 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0054 loss: 1.0054 2022/07/24 04:16:22 - mmengine - INFO - Epoch(train) [69][2460/3757] lr: 1.0000e-03 eta: 21:50:43 time: 0.7172 data_time: 0.0510 memory: 17350 grad_norm: 7.6127 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0996 loss: 1.0996 2022/07/24 04:16:34 - mmengine - INFO - Epoch(train) [69][2480/3757] lr: 1.0000e-03 eta: 21:50:29 time: 0.6000 data_time: 0.0974 memory: 17350 grad_norm: 7.7043 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3285 loss: 1.3285 2022/07/24 04:16:48 - mmengine - INFO - Epoch(train) [69][2500/3757] lr: 1.0000e-03 eta: 21:50:17 time: 0.7334 data_time: 0.0433 memory: 17350 grad_norm: 7.5081 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2525 loss: 1.2525 2022/07/24 04:17:01 - mmengine - INFO - Epoch(train) [69][2520/3757] lr: 1.0000e-03 eta: 21:50:03 time: 0.6063 data_time: 0.0584 memory: 17350 grad_norm: 7.9414 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3651 loss: 1.3651 2022/07/24 04:17:04 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 04:17:15 - mmengine - INFO - Epoch(train) [69][2540/3757] lr: 1.0000e-03 eta: 21:49:50 time: 0.7181 data_time: 0.0883 memory: 17350 grad_norm: 8.0214 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4209 loss: 1.4209 2022/07/24 04:17:28 - mmengine - INFO - Epoch(train) [69][2560/3757] lr: 1.0000e-03 eta: 21:49:36 time: 0.6279 data_time: 0.0979 memory: 17350 grad_norm: 7.9986 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2319 loss: 1.2319 2022/07/24 04:17:41 - mmengine - INFO - Epoch(train) [69][2580/3757] lr: 1.0000e-03 eta: 21:49:23 time: 0.6910 data_time: 0.0677 memory: 17350 grad_norm: 7.7493 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9319 loss: 0.9319 2022/07/24 04:17:54 - mmengine - INFO - Epoch(train) [69][2600/3757] lr: 1.0000e-03 eta: 21:49:09 time: 0.6176 data_time: 0.0379 memory: 17350 grad_norm: 7.6151 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2844 loss: 1.2844 2022/07/24 04:18:09 - mmengine - INFO - Epoch(train) [69][2620/3757] lr: 1.0000e-03 eta: 21:48:57 time: 0.7507 data_time: 0.0279 memory: 17350 grad_norm: 7.7412 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2256 loss: 1.2256 2022/07/24 04:18:21 - mmengine - INFO - Epoch(train) [69][2640/3757] lr: 1.0000e-03 eta: 21:48:43 time: 0.6015 data_time: 0.0241 memory: 17350 grad_norm: 7.4872 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1638 loss: 1.1638 2022/07/24 04:18:35 - mmengine - INFO - Epoch(train) [69][2660/3757] lr: 1.0000e-03 eta: 21:48:30 time: 0.7127 data_time: 0.0218 memory: 17350 grad_norm: 7.9078 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0520 loss: 1.0520 2022/07/24 04:18:47 - mmengine - INFO - Epoch(train) [69][2680/3757] lr: 1.0000e-03 eta: 21:48:16 time: 0.5902 data_time: 0.0649 memory: 17350 grad_norm: 7.9903 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1723 loss: 1.1723 2022/07/24 04:19:01 - mmengine - INFO - Epoch(train) [69][2700/3757] lr: 1.0000e-03 eta: 21:48:03 time: 0.6933 data_time: 0.0693 memory: 17350 grad_norm: 8.2344 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3563 loss: 1.3563 2022/07/24 04:19:14 - mmengine - INFO - Epoch(train) [69][2720/3757] lr: 1.0000e-03 eta: 21:47:49 time: 0.6634 data_time: 0.1579 memory: 17350 grad_norm: 7.9821 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.1505 loss: 1.1505 2022/07/24 04:19:26 - mmengine - INFO - Epoch(train) [69][2740/3757] lr: 1.0000e-03 eta: 21:47:35 time: 0.6177 data_time: 0.1231 memory: 17350 grad_norm: 7.7916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1276 loss: 1.1276 2022/07/24 04:19:41 - mmengine - INFO - Epoch(train) [69][2760/3757] lr: 1.0000e-03 eta: 21:47:22 time: 0.7155 data_time: 0.1429 memory: 17350 grad_norm: 8.2361 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0729 loss: 1.0729 2022/07/24 04:19:53 - mmengine - INFO - Epoch(train) [69][2780/3757] lr: 1.0000e-03 eta: 21:47:09 time: 0.6100 data_time: 0.0886 memory: 17350 grad_norm: 8.1923 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2591 loss: 1.2591 2022/07/24 04:20:08 - mmengine - INFO - Epoch(train) [69][2800/3757] lr: 1.0000e-03 eta: 21:46:56 time: 0.7632 data_time: 0.1510 memory: 17350 grad_norm: 8.4688 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4122 loss: 1.4122 2022/07/24 04:20:21 - mmengine - INFO - Epoch(train) [69][2820/3757] lr: 1.0000e-03 eta: 21:46:42 time: 0.6354 data_time: 0.0591 memory: 17350 grad_norm: 7.6116 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1220 loss: 1.1220 2022/07/24 04:20:35 - mmengine - INFO - Epoch(train) [69][2840/3757] lr: 1.0000e-03 eta: 21:46:29 time: 0.7137 data_time: 0.0239 memory: 17350 grad_norm: 7.7377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1079 loss: 1.1079 2022/07/24 04:20:47 - mmengine - INFO - Epoch(train) [69][2860/3757] lr: 1.0000e-03 eta: 21:46:15 time: 0.5766 data_time: 0.0237 memory: 17350 grad_norm: 7.8512 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2853 loss: 1.2853 2022/07/24 04:21:02 - mmengine - INFO - Epoch(train) [69][2880/3757] lr: 1.0000e-03 eta: 21:46:03 time: 0.7429 data_time: 0.0221 memory: 17350 grad_norm: 7.7338 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0705 loss: 1.0705 2022/07/24 04:21:14 - mmengine - INFO - Epoch(train) [69][2900/3757] lr: 1.0000e-03 eta: 21:45:49 time: 0.5956 data_time: 0.0230 memory: 17350 grad_norm: 7.9913 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2507 loss: 1.2507 2022/07/24 04:21:28 - mmengine - INFO - Epoch(train) [69][2920/3757] lr: 1.0000e-03 eta: 21:45:36 time: 0.7303 data_time: 0.0210 memory: 17350 grad_norm: 8.1652 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2702 loss: 1.2702 2022/07/24 04:21:41 - mmengine - INFO - Epoch(train) [69][2940/3757] lr: 1.0000e-03 eta: 21:45:22 time: 0.6256 data_time: 0.0241 memory: 17350 grad_norm: 8.1650 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2175 loss: 1.2175 2022/07/24 04:21:55 - mmengine - INFO - Epoch(train) [69][2960/3757] lr: 1.0000e-03 eta: 21:45:09 time: 0.6969 data_time: 0.0240 memory: 17350 grad_norm: 7.8648 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0729 loss: 1.0729 2022/07/24 04:22:07 - mmengine - INFO - Epoch(train) [69][2980/3757] lr: 1.0000e-03 eta: 21:44:55 time: 0.6213 data_time: 0.0366 memory: 17350 grad_norm: 7.9796 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1748 loss: 1.1748 2022/07/24 04:22:21 - mmengine - INFO - Epoch(train) [69][3000/3757] lr: 1.0000e-03 eta: 21:44:42 time: 0.6778 data_time: 0.0264 memory: 17350 grad_norm: 7.6829 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9054 loss: 0.9054 2022/07/24 04:22:33 - mmengine - INFO - Epoch(train) [69][3020/3757] lr: 1.0000e-03 eta: 21:44:28 time: 0.6178 data_time: 0.0217 memory: 17350 grad_norm: 7.9583 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3496 loss: 1.3496 2022/07/24 04:22:48 - mmengine - INFO - Epoch(train) [69][3040/3757] lr: 1.0000e-03 eta: 21:44:15 time: 0.7381 data_time: 0.0240 memory: 17350 grad_norm: 7.9043 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2393 loss: 1.2393 2022/07/24 04:23:00 - mmengine - INFO - Epoch(train) [69][3060/3757] lr: 1.0000e-03 eta: 21:44:02 time: 0.6286 data_time: 0.0229 memory: 17350 grad_norm: 7.7789 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1466 loss: 1.1466 2022/07/24 04:23:15 - mmengine - INFO - Epoch(train) [69][3080/3757] lr: 1.0000e-03 eta: 21:43:49 time: 0.7278 data_time: 0.0250 memory: 17350 grad_norm: 8.1321 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0725 loss: 1.0725 2022/07/24 04:23:27 - mmengine - INFO - Epoch(train) [69][3100/3757] lr: 1.0000e-03 eta: 21:43:35 time: 0.6012 data_time: 0.0242 memory: 17350 grad_norm: 7.8512 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1333 loss: 1.1333 2022/07/24 04:23:42 - mmengine - INFO - Epoch(train) [69][3120/3757] lr: 1.0000e-03 eta: 21:43:22 time: 0.7280 data_time: 0.0251 memory: 17350 grad_norm: 7.7682 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8455 loss: 0.8455 2022/07/24 04:23:54 - mmengine - INFO - Epoch(train) [69][3140/3757] lr: 1.0000e-03 eta: 21:43:08 time: 0.6125 data_time: 0.0229 memory: 17350 grad_norm: 7.9870 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0936 loss: 1.0936 2022/07/24 04:24:08 - mmengine - INFO - Epoch(train) [69][3160/3757] lr: 1.0000e-03 eta: 21:42:55 time: 0.7004 data_time: 0.0242 memory: 17350 grad_norm: 8.0336 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2530 loss: 1.2530 2022/07/24 04:24:20 - mmengine - INFO - Epoch(train) [69][3180/3757] lr: 1.0000e-03 eta: 21:42:41 time: 0.5984 data_time: 0.0228 memory: 17350 grad_norm: 7.8840 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2451 loss: 1.2451 2022/07/24 04:24:35 - mmengine - INFO - Epoch(train) [69][3200/3757] lr: 1.0000e-03 eta: 21:42:29 time: 0.7587 data_time: 0.0241 memory: 17350 grad_norm: 7.4643 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1197 loss: 1.1197 2022/07/24 04:24:46 - mmengine - INFO - Epoch(train) [69][3220/3757] lr: 1.0000e-03 eta: 21:42:14 time: 0.5687 data_time: 0.0233 memory: 17350 grad_norm: 8.3202 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3415 loss: 1.3415 2022/07/24 04:25:01 - mmengine - INFO - Epoch(train) [69][3240/3757] lr: 1.0000e-03 eta: 21:42:02 time: 0.7250 data_time: 0.0247 memory: 17350 grad_norm: 8.0374 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1743 loss: 1.1743 2022/07/24 04:25:14 - mmengine - INFO - Epoch(train) [69][3260/3757] lr: 1.0000e-03 eta: 21:41:48 time: 0.6483 data_time: 0.0241 memory: 17350 grad_norm: 7.7194 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4079 loss: 1.4079 2022/07/24 04:25:29 - mmengine - INFO - Epoch(train) [69][3280/3757] lr: 1.0000e-03 eta: 21:41:35 time: 0.7453 data_time: 0.0253 memory: 17350 grad_norm: 7.8693 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3050 loss: 1.3050 2022/07/24 04:25:41 - mmengine - INFO - Epoch(train) [69][3300/3757] lr: 1.0000e-03 eta: 21:41:21 time: 0.5848 data_time: 0.0239 memory: 17350 grad_norm: 7.4392 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3590 loss: 1.3590 2022/07/24 04:25:55 - mmengine - INFO - Epoch(train) [69][3320/3757] lr: 1.0000e-03 eta: 21:41:08 time: 0.7117 data_time: 0.0231 memory: 17350 grad_norm: 8.0951 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2981 loss: 1.2981 2022/07/24 04:26:07 - mmengine - INFO - Epoch(train) [69][3340/3757] lr: 1.0000e-03 eta: 21:40:54 time: 0.5890 data_time: 0.0226 memory: 17350 grad_norm: 7.6800 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0747 loss: 1.0747 2022/07/24 04:26:21 - mmengine - INFO - Epoch(train) [69][3360/3757] lr: 1.0000e-03 eta: 21:40:41 time: 0.7038 data_time: 0.0232 memory: 17350 grad_norm: 7.6258 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8957 loss: 0.8957 2022/07/24 04:26:33 - mmengine - INFO - Epoch(train) [69][3380/3757] lr: 1.0000e-03 eta: 21:40:28 time: 0.6289 data_time: 0.0234 memory: 17350 grad_norm: 7.9168 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.7677 loss: 0.7677 2022/07/24 04:26:48 - mmengine - INFO - Epoch(train) [69][3400/3757] lr: 1.0000e-03 eta: 21:40:15 time: 0.7175 data_time: 0.0199 memory: 17350 grad_norm: 8.1453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1786 loss: 1.1786 2022/07/24 04:27:00 - mmengine - INFO - Epoch(train) [69][3420/3757] lr: 1.0000e-03 eta: 21:40:01 time: 0.6051 data_time: 0.0229 memory: 17350 grad_norm: 7.7542 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1403 loss: 1.1403 2022/07/24 04:27:14 - mmengine - INFO - Epoch(train) [69][3440/3757] lr: 1.0000e-03 eta: 21:39:48 time: 0.7140 data_time: 0.0211 memory: 17350 grad_norm: 7.6758 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3670 loss: 1.3670 2022/07/24 04:27:26 - mmengine - INFO - Epoch(train) [69][3460/3757] lr: 1.0000e-03 eta: 21:39:34 time: 0.6038 data_time: 0.0281 memory: 17350 grad_norm: 7.8945 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0175 loss: 1.0175 2022/07/24 04:27:41 - mmengine - INFO - Epoch(train) [69][3480/3757] lr: 1.0000e-03 eta: 21:39:21 time: 0.7518 data_time: 0.0289 memory: 17350 grad_norm: 7.9115 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1139 loss: 1.1139 2022/07/24 04:27:54 - mmengine - INFO - Epoch(train) [69][3500/3757] lr: 1.0000e-03 eta: 21:39:07 time: 0.6276 data_time: 0.0230 memory: 17350 grad_norm: 7.6464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9575 loss: 0.9575 2022/07/24 04:28:08 - mmengine - INFO - Epoch(train) [69][3520/3757] lr: 1.0000e-03 eta: 21:38:55 time: 0.7172 data_time: 0.0238 memory: 17350 grad_norm: 7.9308 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0916 loss: 1.0916 2022/07/24 04:28:10 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 04:28:20 - mmengine - INFO - Epoch(train) [69][3540/3757] lr: 1.0000e-03 eta: 21:38:41 time: 0.5983 data_time: 0.0213 memory: 17350 grad_norm: 7.9699 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1018 loss: 1.1018 2022/07/24 04:28:35 - mmengine - INFO - Epoch(train) [69][3560/3757] lr: 1.0000e-03 eta: 21:38:28 time: 0.7216 data_time: 0.0225 memory: 17350 grad_norm: 7.9459 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6067 loss: 1.6067 2022/07/24 04:28:47 - mmengine - INFO - Epoch(train) [69][3580/3757] lr: 1.0000e-03 eta: 21:38:14 time: 0.6016 data_time: 0.0340 memory: 17350 grad_norm: 7.6803 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8926 loss: 0.8926 2022/07/24 04:29:01 - mmengine - INFO - Epoch(train) [69][3600/3757] lr: 1.0000e-03 eta: 21:38:01 time: 0.7045 data_time: 0.0668 memory: 17350 grad_norm: 7.8976 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2532 loss: 1.2532 2022/07/24 04:29:13 - mmengine - INFO - Epoch(train) [69][3620/3757] lr: 1.0000e-03 eta: 21:37:47 time: 0.6007 data_time: 0.0968 memory: 17350 grad_norm: 7.8935 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1248 loss: 1.1248 2022/07/24 04:29:27 - mmengine - INFO - Epoch(train) [69][3640/3757] lr: 1.0000e-03 eta: 21:37:34 time: 0.7157 data_time: 0.0437 memory: 17350 grad_norm: 7.8176 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3674 loss: 1.3674 2022/07/24 04:29:39 - mmengine - INFO - Epoch(train) [69][3660/3757] lr: 1.0000e-03 eta: 21:37:20 time: 0.6143 data_time: 0.0390 memory: 17350 grad_norm: 7.5804 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9357 loss: 0.9357 2022/07/24 04:29:54 - mmengine - INFO - Epoch(train) [69][3680/3757] lr: 1.0000e-03 eta: 21:37:07 time: 0.7199 data_time: 0.0492 memory: 17350 grad_norm: 7.9962 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1521 loss: 1.1521 2022/07/24 04:30:07 - mmengine - INFO - Epoch(train) [69][3700/3757] lr: 1.0000e-03 eta: 21:36:54 time: 0.6591 data_time: 0.0377 memory: 17350 grad_norm: 7.7048 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0650 loss: 1.0650 2022/07/24 04:30:20 - mmengine - INFO - Epoch(train) [69][3720/3757] lr: 1.0000e-03 eta: 21:36:40 time: 0.6661 data_time: 0.0345 memory: 17350 grad_norm: 8.1546 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0687 loss: 1.0687 2022/07/24 04:30:33 - mmengine - INFO - Epoch(train) [69][3740/3757] lr: 1.0000e-03 eta: 21:36:27 time: 0.6439 data_time: 0.0931 memory: 17350 grad_norm: 8.0565 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2237 loss: 1.2237 2022/07/24 04:30:42 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 04:30:42 - mmengine - INFO - Epoch(train) [69][3757/3757] lr: 1.0000e-03 eta: 21:36:27 time: 0.4836 data_time: 0.0689 memory: 17350 grad_norm: 7.9725 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.1304 loss: 1.1304 2022/07/24 04:30:59 - mmengine - INFO - Epoch(val) [69][20/310] eta: 0:04:01 time: 0.8316 data_time: 0.7158 memory: 3406 2022/07/24 04:31:09 - mmengine - INFO - Epoch(val) [69][40/310] eta: 0:02:26 time: 0.5427 data_time: 0.4287 memory: 3406 2022/07/24 04:31:25 - mmengine - INFO - Epoch(val) [69][60/310] eta: 0:03:09 time: 0.7594 data_time: 0.6448 memory: 3406 2022/07/24 04:31:36 - mmengine - INFO - Epoch(val) [69][80/310] eta: 0:02:05 time: 0.5454 data_time: 0.4305 memory: 3406 2022/07/24 04:31:51 - mmengine - INFO - Epoch(val) [69][100/310] eta: 0:02:42 time: 0.7732 data_time: 0.6595 memory: 3406 2022/07/24 04:32:03 - mmengine - INFO - Epoch(val) [69][120/310] eta: 0:01:49 time: 0.5741 data_time: 0.4579 memory: 3406 2022/07/24 04:32:17 - mmengine - INFO - Epoch(val) [69][140/310] eta: 0:02:06 time: 0.7425 data_time: 0.6237 memory: 3406 2022/07/24 04:32:29 - mmengine - INFO - Epoch(val) [69][160/310] eta: 0:01:23 time: 0.5597 data_time: 0.4461 memory: 3406 2022/07/24 04:32:44 - mmengine - INFO - Epoch(val) [69][180/310] eta: 0:01:36 time: 0.7460 data_time: 0.6237 memory: 3406 2022/07/24 04:32:55 - mmengine - INFO - Epoch(val) [69][200/310] eta: 0:01:01 time: 0.5622 data_time: 0.4524 memory: 3406 2022/07/24 04:33:11 - mmengine - INFO - Epoch(val) [69][220/310] eta: 0:01:12 time: 0.8004 data_time: 0.6868 memory: 3406 2022/07/24 04:33:22 - mmengine - INFO - Epoch(val) [69][240/310] eta: 0:00:37 time: 0.5416 data_time: 0.4281 memory: 3406 2022/07/24 04:33:37 - mmengine - INFO - Epoch(val) [69][260/310] eta: 0:00:38 time: 0.7670 data_time: 0.6544 memory: 3406 2022/07/24 04:33:48 - mmengine - INFO - Epoch(val) [69][280/310] eta: 0:00:15 time: 0.5309 data_time: 0.4181 memory: 3406 2022/07/24 04:34:03 - mmengine - INFO - Epoch(val) [69][300/310] eta: 0:00:07 time: 0.7584 data_time: 0.6460 memory: 3406 2022/07/24 04:34:07 - mmengine - INFO - Epoch(val) [69][310/310] acc/top1: 0.6801 acc/top5: 0.8734 acc/mean1: 0.6800 2022/07/24 04:34:25 - mmengine - INFO - Epoch(train) [70][20/3757] lr: 1.0000e-03 eta: 21:35:59 time: 0.8948 data_time: 0.4975 memory: 17350 grad_norm: 7.7651 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2312 loss: 1.2312 2022/07/24 04:34:37 - mmengine - INFO - Epoch(train) [70][40/3757] lr: 1.0000e-03 eta: 21:35:45 time: 0.6045 data_time: 0.2337 memory: 17350 grad_norm: 7.9594 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9365 loss: 0.9365 2022/07/24 04:34:52 - mmengine - INFO - Epoch(train) [70][60/3757] lr: 1.0000e-03 eta: 21:35:32 time: 0.7519 data_time: 0.2929 memory: 17350 grad_norm: 7.9502 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2157 loss: 1.2157 2022/07/24 04:35:05 - mmengine - INFO - Epoch(train) [70][80/3757] lr: 1.0000e-03 eta: 21:35:19 time: 0.6479 data_time: 0.1986 memory: 17350 grad_norm: 7.8527 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9813 loss: 0.9813 2022/07/24 04:35:19 - mmengine - INFO - Epoch(train) [70][100/3757] lr: 1.0000e-03 eta: 21:35:06 time: 0.7059 data_time: 0.2217 memory: 17350 grad_norm: 7.8334 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9579 loss: 0.9579 2022/07/24 04:35:31 - mmengine - INFO - Epoch(train) [70][120/3757] lr: 1.0000e-03 eta: 21:34:52 time: 0.5829 data_time: 0.2133 memory: 17350 grad_norm: 7.7019 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1875 loss: 1.1875 2022/07/24 04:35:46 - mmengine - INFO - Epoch(train) [70][140/3757] lr: 1.0000e-03 eta: 21:34:39 time: 0.7604 data_time: 0.3908 memory: 17350 grad_norm: 8.1062 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1917 loss: 1.1917 2022/07/24 04:35:58 - mmengine - INFO - Epoch(train) [70][160/3757] lr: 1.0000e-03 eta: 21:34:25 time: 0.5992 data_time: 0.2569 memory: 17350 grad_norm: 7.9065 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3647 loss: 1.3647 2022/07/24 04:36:13 - mmengine - INFO - Epoch(train) [70][180/3757] lr: 1.0000e-03 eta: 21:34:12 time: 0.7254 data_time: 0.3210 memory: 17350 grad_norm: 7.9961 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2799 loss: 1.2799 2022/07/24 04:36:25 - mmengine - INFO - Epoch(train) [70][200/3757] lr: 1.0000e-03 eta: 21:33:59 time: 0.6295 data_time: 0.2319 memory: 17350 grad_norm: 7.7976 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0012 loss: 1.0012 2022/07/24 04:36:41 - mmengine - INFO - Epoch(train) [70][220/3757] lr: 1.0000e-03 eta: 21:33:46 time: 0.7608 data_time: 0.1110 memory: 17350 grad_norm: 7.8126 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2275 loss: 1.2275 2022/07/24 04:36:53 - mmengine - INFO - Epoch(train) [70][240/3757] lr: 1.0000e-03 eta: 21:33:32 time: 0.5906 data_time: 0.0291 memory: 17350 grad_norm: 7.6521 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9701 loss: 0.9701 2022/07/24 04:37:07 - mmengine - INFO - Epoch(train) [70][260/3757] lr: 1.0000e-03 eta: 21:33:19 time: 0.7219 data_time: 0.0222 memory: 17350 grad_norm: 7.5333 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2140 loss: 1.2140 2022/07/24 04:37:20 - mmengine - INFO - Epoch(train) [70][280/3757] lr: 1.0000e-03 eta: 21:33:06 time: 0.6350 data_time: 0.0219 memory: 17350 grad_norm: 7.6641 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0925 loss: 1.0925 2022/07/24 04:37:35 - mmengine - INFO - Epoch(train) [70][300/3757] lr: 1.0000e-03 eta: 21:32:53 time: 0.7407 data_time: 0.0216 memory: 17350 grad_norm: 7.8603 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1291 loss: 1.1291 2022/07/24 04:37:45 - mmengine - INFO - Epoch(train) [70][320/3757] lr: 1.0000e-03 eta: 21:32:38 time: 0.5405 data_time: 0.0226 memory: 17350 grad_norm: 7.8805 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3040 loss: 1.3040 2022/07/24 04:37:59 - mmengine - INFO - Epoch(train) [70][340/3757] lr: 1.0000e-03 eta: 21:32:25 time: 0.6838 data_time: 0.0228 memory: 17350 grad_norm: 7.9356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9767 loss: 0.9767 2022/07/24 04:38:12 - mmengine - INFO - Epoch(train) [70][360/3757] lr: 1.0000e-03 eta: 21:32:12 time: 0.6297 data_time: 0.0214 memory: 17350 grad_norm: 8.0505 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1491 loss: 1.1491 2022/07/24 04:38:25 - mmengine - INFO - Epoch(train) [70][380/3757] lr: 1.0000e-03 eta: 21:31:58 time: 0.6849 data_time: 0.0220 memory: 17350 grad_norm: 7.8541 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0779 loss: 1.0779 2022/07/24 04:38:39 - mmengine - INFO - Epoch(train) [70][400/3757] lr: 1.0000e-03 eta: 21:31:45 time: 0.6581 data_time: 0.0239 memory: 17350 grad_norm: 7.7078 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0857 loss: 1.0857 2022/07/24 04:38:52 - mmengine - INFO - Epoch(train) [70][420/3757] lr: 1.0000e-03 eta: 21:31:32 time: 0.6742 data_time: 0.0241 memory: 17350 grad_norm: 7.8498 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8927 loss: 0.8927 2022/07/24 04:39:05 - mmengine - INFO - Epoch(train) [70][440/3757] lr: 1.0000e-03 eta: 21:31:18 time: 0.6595 data_time: 0.0215 memory: 17350 grad_norm: 8.0044 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0752 loss: 1.0752 2022/07/24 04:39:19 - mmengine - INFO - Epoch(train) [70][460/3757] lr: 1.0000e-03 eta: 21:31:05 time: 0.6858 data_time: 0.0235 memory: 17350 grad_norm: 7.8317 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0178 loss: 1.0178 2022/07/24 04:39:32 - mmengine - INFO - Epoch(train) [70][480/3757] lr: 1.0000e-03 eta: 21:30:51 time: 0.6456 data_time: 0.0224 memory: 17350 grad_norm: 8.0288 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1421 loss: 1.1421 2022/07/24 04:39:46 - mmengine - INFO - Epoch(train) [70][500/3757] lr: 1.0000e-03 eta: 21:30:39 time: 0.7141 data_time: 0.0233 memory: 17350 grad_norm: 8.0149 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8515 loss: 0.8515 2022/07/24 04:39:59 - mmengine - INFO - Epoch(train) [70][520/3757] lr: 1.0000e-03 eta: 21:30:25 time: 0.6154 data_time: 0.0211 memory: 17350 grad_norm: 7.8149 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0262 loss: 1.0262 2022/07/24 04:40:14 - mmengine - INFO - Epoch(train) [70][540/3757] lr: 1.0000e-03 eta: 21:30:12 time: 0.7556 data_time: 0.0542 memory: 17350 grad_norm: 7.5863 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1693 loss: 1.1693 2022/07/24 04:40:26 - mmengine - INFO - Epoch(train) [70][560/3757] lr: 1.0000e-03 eta: 21:29:59 time: 0.6402 data_time: 0.0844 memory: 17350 grad_norm: 7.9737 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1378 loss: 1.1378 2022/07/24 04:40:41 - mmengine - INFO - Epoch(train) [70][580/3757] lr: 1.0000e-03 eta: 21:29:45 time: 0.7027 data_time: 0.1465 memory: 17350 grad_norm: 8.0217 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2517 loss: 1.2517 2022/07/24 04:40:53 - mmengine - INFO - Epoch(train) [70][600/3757] lr: 1.0000e-03 eta: 21:29:32 time: 0.6027 data_time: 0.0857 memory: 17350 grad_norm: 7.9304 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2514 loss: 1.2514 2022/07/24 04:41:07 - mmengine - INFO - Epoch(train) [70][620/3757] lr: 1.0000e-03 eta: 21:29:19 time: 0.7196 data_time: 0.0971 memory: 17350 grad_norm: 7.8306 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2361 loss: 1.2361 2022/07/24 04:41:19 - mmengine - INFO - Epoch(train) [70][640/3757] lr: 1.0000e-03 eta: 21:29:05 time: 0.6205 data_time: 0.0531 memory: 17350 grad_norm: 7.6201 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1872 loss: 1.1872 2022/07/24 04:41:34 - mmengine - INFO - Epoch(train) [70][660/3757] lr: 1.0000e-03 eta: 21:28:52 time: 0.7118 data_time: 0.0326 memory: 17350 grad_norm: 7.7887 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2802 loss: 1.2802 2022/07/24 04:41:46 - mmengine - INFO - Epoch(train) [70][680/3757] lr: 1.0000e-03 eta: 21:28:38 time: 0.6386 data_time: 0.0591 memory: 17350 grad_norm: 8.2364 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2712 loss: 1.2712 2022/07/24 04:42:01 - mmengine - INFO - Epoch(train) [70][700/3757] lr: 1.0000e-03 eta: 21:28:26 time: 0.7333 data_time: 0.1167 memory: 17350 grad_norm: 8.0154 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1288 loss: 1.1288 2022/07/24 04:42:13 - mmengine - INFO - Epoch(train) [70][720/3757] lr: 1.0000e-03 eta: 21:28:12 time: 0.6017 data_time: 0.0655 memory: 17350 grad_norm: 8.0094 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0402 loss: 1.0402 2022/07/24 04:42:28 - mmengine - INFO - Epoch(train) [70][740/3757] lr: 1.0000e-03 eta: 21:27:59 time: 0.7229 data_time: 0.0246 memory: 17350 grad_norm: 7.9008 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3057 loss: 1.3057 2022/07/24 04:42:40 - mmengine - INFO - Epoch(train) [70][760/3757] lr: 1.0000e-03 eta: 21:27:45 time: 0.6064 data_time: 0.0232 memory: 17350 grad_norm: 8.0395 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3165 loss: 1.3165 2022/07/24 04:42:45 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 04:42:54 - mmengine - INFO - Epoch(train) [70][780/3757] lr: 1.0000e-03 eta: 21:27:32 time: 0.7084 data_time: 0.0261 memory: 17350 grad_norm: 7.8983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0828 loss: 1.0828 2022/07/24 04:43:05 - mmengine - INFO - Epoch(train) [70][800/3757] lr: 1.0000e-03 eta: 21:27:18 time: 0.5663 data_time: 0.0291 memory: 17350 grad_norm: 7.5144 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2144 loss: 1.2144 2022/07/24 04:43:21 - mmengine - INFO - Epoch(train) [70][820/3757] lr: 1.0000e-03 eta: 21:27:05 time: 0.7564 data_time: 0.1329 memory: 17350 grad_norm: 7.8792 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0730 loss: 1.0730 2022/07/24 04:43:32 - mmengine - INFO - Epoch(train) [70][840/3757] lr: 1.0000e-03 eta: 21:26:51 time: 0.5849 data_time: 0.0665 memory: 17350 grad_norm: 7.9576 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0620 loss: 1.0620 2022/07/24 04:43:48 - mmengine - INFO - Epoch(train) [70][860/3757] lr: 1.0000e-03 eta: 21:26:38 time: 0.7627 data_time: 0.2162 memory: 17350 grad_norm: 7.8696 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3910 loss: 1.3910 2022/07/24 04:44:00 - mmengine - INFO - Epoch(train) [70][880/3757] lr: 1.0000e-03 eta: 21:26:25 time: 0.6095 data_time: 0.1659 memory: 17350 grad_norm: 7.8291 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1894 loss: 1.1894 2022/07/24 04:44:14 - mmengine - INFO - Epoch(train) [70][900/3757] lr: 1.0000e-03 eta: 21:26:11 time: 0.7023 data_time: 0.2552 memory: 17350 grad_norm: 8.1046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3431 loss: 1.3431 2022/07/24 04:44:26 - mmengine - INFO - Epoch(train) [70][920/3757] lr: 1.0000e-03 eta: 21:25:57 time: 0.5951 data_time: 0.1574 memory: 17350 grad_norm: 7.9574 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2265 loss: 1.2265 2022/07/24 04:44:40 - mmengine - INFO - Epoch(train) [70][940/3757] lr: 1.0000e-03 eta: 21:25:45 time: 0.7374 data_time: 0.1717 memory: 17350 grad_norm: 7.7047 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1018 loss: 1.1018 2022/07/24 04:44:52 - mmengine - INFO - Epoch(train) [70][960/3757] lr: 1.0000e-03 eta: 21:25:31 time: 0.5982 data_time: 0.1887 memory: 17350 grad_norm: 7.6677 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2231 loss: 1.2231 2022/07/24 04:45:07 - mmengine - INFO - Epoch(train) [70][980/3757] lr: 1.0000e-03 eta: 21:25:18 time: 0.7355 data_time: 0.2591 memory: 17350 grad_norm: 7.9067 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0752 loss: 1.0752 2022/07/24 04:45:20 - mmengine - INFO - Epoch(train) [70][1000/3757] lr: 1.0000e-03 eta: 21:25:04 time: 0.6219 data_time: 0.1946 memory: 17350 grad_norm: 7.9848 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5132 loss: 1.5132 2022/07/24 04:45:34 - mmengine - INFO - Epoch(train) [70][1020/3757] lr: 1.0000e-03 eta: 21:24:51 time: 0.7119 data_time: 0.1986 memory: 17350 grad_norm: 7.9599 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3001 loss: 1.3001 2022/07/24 04:45:46 - mmengine - INFO - Epoch(train) [70][1040/3757] lr: 1.0000e-03 eta: 21:24:37 time: 0.6122 data_time: 0.1369 memory: 17350 grad_norm: 7.9772 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0799 loss: 1.0799 2022/07/24 04:46:01 - mmengine - INFO - Epoch(train) [70][1060/3757] lr: 1.0000e-03 eta: 21:24:25 time: 0.7344 data_time: 0.1372 memory: 17350 grad_norm: 7.7801 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1804 loss: 1.1804 2022/07/24 04:46:13 - mmengine - INFO - Epoch(train) [70][1080/3757] lr: 1.0000e-03 eta: 21:24:11 time: 0.5876 data_time: 0.1162 memory: 17350 grad_norm: 7.7821 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0451 loss: 1.0451 2022/07/24 04:46:27 - mmengine - INFO - Epoch(train) [70][1100/3757] lr: 1.0000e-03 eta: 21:23:58 time: 0.7210 data_time: 0.1412 memory: 17350 grad_norm: 7.9048 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2894 loss: 1.2894 2022/07/24 04:46:39 - mmengine - INFO - Epoch(train) [70][1120/3757] lr: 1.0000e-03 eta: 21:23:44 time: 0.6105 data_time: 0.1347 memory: 17350 grad_norm: 8.1148 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1258 loss: 1.1258 2022/07/24 04:46:54 - mmengine - INFO - Epoch(train) [70][1140/3757] lr: 1.0000e-03 eta: 21:23:31 time: 0.7391 data_time: 0.2007 memory: 17350 grad_norm: 7.9083 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0414 loss: 1.0414 2022/07/24 04:47:07 - mmengine - INFO - Epoch(train) [70][1160/3757] lr: 1.0000e-03 eta: 21:23:17 time: 0.6221 data_time: 0.2137 memory: 17350 grad_norm: 7.5954 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8236 loss: 0.8236 2022/07/24 04:47:21 - mmengine - INFO - Epoch(train) [70][1180/3757] lr: 1.0000e-03 eta: 21:23:05 time: 0.7461 data_time: 0.3447 memory: 17350 grad_norm: 8.1020 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0024 loss: 1.0024 2022/07/24 04:47:33 - mmengine - INFO - Epoch(train) [70][1200/3757] lr: 1.0000e-03 eta: 21:22:51 time: 0.5923 data_time: 0.1796 memory: 17350 grad_norm: 8.0132 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2533 loss: 1.2533 2022/07/24 04:47:47 - mmengine - INFO - Epoch(train) [70][1220/3757] lr: 1.0000e-03 eta: 21:22:38 time: 0.6970 data_time: 0.1184 memory: 17350 grad_norm: 7.8496 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9442 loss: 0.9442 2022/07/24 04:47:59 - mmengine - INFO - Epoch(train) [70][1240/3757] lr: 1.0000e-03 eta: 21:22:24 time: 0.5862 data_time: 0.1011 memory: 17350 grad_norm: 7.9063 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2464 loss: 1.2464 2022/07/24 04:48:14 - mmengine - INFO - Epoch(train) [70][1260/3757] lr: 1.0000e-03 eta: 21:22:11 time: 0.7483 data_time: 0.3081 memory: 17350 grad_norm: 7.8550 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1249 loss: 1.1249 2022/07/24 04:48:26 - mmengine - INFO - Epoch(train) [70][1280/3757] lr: 1.0000e-03 eta: 21:21:57 time: 0.5954 data_time: 0.2315 memory: 17350 grad_norm: 7.7539 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2585 loss: 1.2585 2022/07/24 04:48:41 - mmengine - INFO - Epoch(train) [70][1300/3757] lr: 1.0000e-03 eta: 21:21:44 time: 0.7421 data_time: 0.2947 memory: 17350 grad_norm: 7.5719 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2860 loss: 1.2860 2022/07/24 04:48:53 - mmengine - INFO - Epoch(train) [70][1320/3757] lr: 1.0000e-03 eta: 21:21:30 time: 0.6083 data_time: 0.1849 memory: 17350 grad_norm: 7.9661 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2341 loss: 1.2341 2022/07/24 04:49:07 - mmengine - INFO - Epoch(train) [70][1340/3757] lr: 1.0000e-03 eta: 21:21:17 time: 0.6863 data_time: 0.1493 memory: 17350 grad_norm: 8.0029 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0822 loss: 1.0822 2022/07/24 04:49:19 - mmengine - INFO - Epoch(train) [70][1360/3757] lr: 1.0000e-03 eta: 21:21:03 time: 0.6149 data_time: 0.1501 memory: 17350 grad_norm: 7.7842 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2403 loss: 1.2403 2022/07/24 04:49:33 - mmengine - INFO - Epoch(train) [70][1380/3757] lr: 1.0000e-03 eta: 21:20:50 time: 0.7177 data_time: 0.2845 memory: 17350 grad_norm: 8.5103 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2191 loss: 1.2191 2022/07/24 04:49:45 - mmengine - INFO - Epoch(train) [70][1400/3757] lr: 1.0000e-03 eta: 21:20:36 time: 0.6003 data_time: 0.2150 memory: 17350 grad_norm: 7.5508 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0112 loss: 1.0112 2022/07/24 04:50:00 - mmengine - INFO - Epoch(train) [70][1420/3757] lr: 1.0000e-03 eta: 21:20:24 time: 0.7439 data_time: 0.2695 memory: 17350 grad_norm: 7.7552 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0359 loss: 1.0359 2022/07/24 04:50:12 - mmengine - INFO - Epoch(train) [70][1440/3757] lr: 1.0000e-03 eta: 21:20:10 time: 0.6037 data_time: 0.1929 memory: 17350 grad_norm: 7.6150 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8765 loss: 0.8765 2022/07/24 04:50:28 - mmengine - INFO - Epoch(train) [70][1460/3757] lr: 1.0000e-03 eta: 21:19:57 time: 0.7628 data_time: 0.3077 memory: 17350 grad_norm: 7.4604 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9283 loss: 0.9283 2022/07/24 04:50:39 - mmengine - INFO - Epoch(train) [70][1480/3757] lr: 1.0000e-03 eta: 21:19:43 time: 0.5496 data_time: 0.1876 memory: 17350 grad_norm: 7.6609 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0502 loss: 1.0502 2022/07/24 04:50:53 - mmengine - INFO - Epoch(train) [70][1500/3757] lr: 1.0000e-03 eta: 21:19:30 time: 0.7121 data_time: 0.2532 memory: 17350 grad_norm: 7.8433 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2378 loss: 1.2378 2022/07/24 04:51:05 - mmengine - INFO - Epoch(train) [70][1520/3757] lr: 1.0000e-03 eta: 21:19:16 time: 0.6242 data_time: 0.1388 memory: 17350 grad_norm: 7.7724 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2868 loss: 1.2868 2022/07/24 04:51:19 - mmengine - INFO - Epoch(train) [70][1540/3757] lr: 1.0000e-03 eta: 21:19:03 time: 0.6864 data_time: 0.0913 memory: 17350 grad_norm: 7.6735 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9954 loss: 0.9954 2022/07/24 04:51:32 - mmengine - INFO - Epoch(train) [70][1560/3757] lr: 1.0000e-03 eta: 21:18:49 time: 0.6250 data_time: 0.0688 memory: 17350 grad_norm: 8.1320 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3809 loss: 1.3809 2022/07/24 04:51:46 - mmengine - INFO - Epoch(train) [70][1580/3757] lr: 1.0000e-03 eta: 21:18:37 time: 0.7373 data_time: 0.0945 memory: 17350 grad_norm: 8.0595 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3108 loss: 1.3108 2022/07/24 04:51:59 - mmengine - INFO - Epoch(train) [70][1600/3757] lr: 1.0000e-03 eta: 21:18:23 time: 0.6148 data_time: 0.1091 memory: 17350 grad_norm: 7.6943 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3079 loss: 1.3079 2022/07/24 04:52:12 - mmengine - INFO - Epoch(train) [70][1620/3757] lr: 1.0000e-03 eta: 21:18:10 time: 0.6840 data_time: 0.1139 memory: 17350 grad_norm: 7.7968 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3101 loss: 1.3101 2022/07/24 04:52:25 - mmengine - INFO - Epoch(train) [70][1640/3757] lr: 1.0000e-03 eta: 21:17:56 time: 0.6378 data_time: 0.0841 memory: 17350 grad_norm: 8.0875 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9999 loss: 0.9999 2022/07/24 04:52:39 - mmengine - INFO - Epoch(train) [70][1660/3757] lr: 1.0000e-03 eta: 21:17:43 time: 0.6823 data_time: 0.0451 memory: 17350 grad_norm: 8.4504 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1771 loss: 1.1771 2022/07/24 04:52:52 - mmengine - INFO - Epoch(train) [70][1680/3757] lr: 1.0000e-03 eta: 21:17:29 time: 0.6555 data_time: 0.0306 memory: 17350 grad_norm: 7.8200 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1155 loss: 1.1155 2022/07/24 04:53:05 - mmengine - INFO - Epoch(train) [70][1700/3757] lr: 1.0000e-03 eta: 21:17:16 time: 0.6666 data_time: 0.0484 memory: 17350 grad_norm: 7.9998 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0547 loss: 1.0547 2022/07/24 04:53:19 - mmengine - INFO - Epoch(train) [70][1720/3757] lr: 1.0000e-03 eta: 21:17:03 time: 0.6887 data_time: 0.0217 memory: 17350 grad_norm: 8.1107 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3345 loss: 1.3345 2022/07/24 04:53:32 - mmengine - INFO - Epoch(train) [70][1740/3757] lr: 1.0000e-03 eta: 21:16:49 time: 0.6590 data_time: 0.0248 memory: 17350 grad_norm: 7.7766 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9928 loss: 0.9928 2022/07/24 04:53:46 - mmengine - INFO - Epoch(train) [70][1760/3757] lr: 1.0000e-03 eta: 21:16:36 time: 0.6839 data_time: 0.0235 memory: 17350 grad_norm: 7.9214 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1017 loss: 1.1017 2022/07/24 04:53:51 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 04:53:59 - mmengine - INFO - Epoch(train) [70][1780/3757] lr: 1.0000e-03 eta: 21:16:22 time: 0.6440 data_time: 0.0254 memory: 17350 grad_norm: 7.6219 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8090 loss: 0.8090 2022/07/24 04:54:12 - mmengine - INFO - Epoch(train) [70][1800/3757] lr: 1.0000e-03 eta: 21:16:09 time: 0.6625 data_time: 0.0747 memory: 17350 grad_norm: 7.8684 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1638 loss: 1.1638 2022/07/24 04:54:26 - mmengine - INFO - Epoch(train) [70][1820/3757] lr: 1.0000e-03 eta: 21:15:56 time: 0.6977 data_time: 0.0598 memory: 17350 grad_norm: 8.3612 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1783 loss: 1.1783 2022/07/24 04:54:38 - mmengine - INFO - Epoch(train) [70][1840/3757] lr: 1.0000e-03 eta: 21:15:42 time: 0.6092 data_time: 0.0568 memory: 17350 grad_norm: 8.1655 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0150 loss: 1.0150 2022/07/24 04:54:52 - mmengine - INFO - Epoch(train) [70][1860/3757] lr: 1.0000e-03 eta: 21:15:29 time: 0.6899 data_time: 0.0877 memory: 17350 grad_norm: 7.9533 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3493 loss: 1.3493 2022/07/24 04:55:08 - mmengine - INFO - Epoch(train) [70][1880/3757] lr: 1.0000e-03 eta: 21:15:17 time: 0.7944 data_time: 0.0297 memory: 17350 grad_norm: 7.7732 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1634 loss: 1.1634 2022/07/24 04:55:20 - mmengine - INFO - Epoch(train) [70][1900/3757] lr: 1.0000e-03 eta: 21:15:03 time: 0.5869 data_time: 0.0242 memory: 17350 grad_norm: 7.8091 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9592 loss: 0.9592 2022/07/24 04:55:34 - mmengine - INFO - Epoch(train) [70][1920/3757] lr: 1.0000e-03 eta: 21:14:50 time: 0.7277 data_time: 0.0206 memory: 17350 grad_norm: 7.8536 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9865 loss: 0.9865 2022/07/24 04:55:46 - mmengine - INFO - Epoch(train) [70][1940/3757] lr: 1.0000e-03 eta: 21:14:36 time: 0.5994 data_time: 0.0266 memory: 17350 grad_norm: 7.8735 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8844 loss: 0.8844 2022/07/24 04:56:00 - mmengine - INFO - Epoch(train) [70][1960/3757] lr: 1.0000e-03 eta: 21:14:23 time: 0.6865 data_time: 0.0250 memory: 17350 grad_norm: 7.9527 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.1206 loss: 1.1206 2022/07/24 04:56:13 - mmengine - INFO - Epoch(train) [70][1980/3757] lr: 1.0000e-03 eta: 21:14:09 time: 0.6465 data_time: 0.0245 memory: 17350 grad_norm: 7.9039 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1481 loss: 1.1481 2022/07/24 04:56:28 - mmengine - INFO - Epoch(train) [70][2000/3757] lr: 1.0000e-03 eta: 21:13:56 time: 0.7234 data_time: 0.0259 memory: 17350 grad_norm: 7.6174 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0079 loss: 1.0079 2022/07/24 04:56:40 - mmengine - INFO - Epoch(train) [70][2020/3757] lr: 1.0000e-03 eta: 21:13:43 time: 0.6331 data_time: 0.0251 memory: 17350 grad_norm: 7.4095 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0114 loss: 1.0114 2022/07/24 04:56:53 - mmengine - INFO - Epoch(train) [70][2040/3757] lr: 1.0000e-03 eta: 21:13:29 time: 0.6444 data_time: 0.0203 memory: 17350 grad_norm: 7.9741 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0131 loss: 1.0131 2022/07/24 04:57:07 - mmengine - INFO - Epoch(train) [70][2060/3757] lr: 1.0000e-03 eta: 21:13:16 time: 0.6665 data_time: 0.0287 memory: 17350 grad_norm: 7.6052 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3246 loss: 1.3246 2022/07/24 04:57:19 - mmengine - INFO - Epoch(train) [70][2080/3757] lr: 1.0000e-03 eta: 21:13:02 time: 0.6322 data_time: 0.0607 memory: 17350 grad_norm: 7.6859 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9933 loss: 0.9933 2022/07/24 04:57:33 - mmengine - INFO - Epoch(train) [70][2100/3757] lr: 1.0000e-03 eta: 21:12:49 time: 0.6658 data_time: 0.0946 memory: 17350 grad_norm: 8.0222 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3106 loss: 1.3106 2022/07/24 04:57:46 - mmengine - INFO - Epoch(train) [70][2120/3757] lr: 1.0000e-03 eta: 21:12:35 time: 0.6928 data_time: 0.0677 memory: 17350 grad_norm: 7.5037 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0648 loss: 1.0648 2022/07/24 04:57:59 - mmengine - INFO - Epoch(train) [70][2140/3757] lr: 1.0000e-03 eta: 21:12:22 time: 0.6290 data_time: 0.0764 memory: 17350 grad_norm: 7.4384 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1498 loss: 1.1498 2022/07/24 04:58:13 - mmengine - INFO - Epoch(train) [70][2160/3757] lr: 1.0000e-03 eta: 21:12:09 time: 0.7196 data_time: 0.0217 memory: 17350 grad_norm: 7.7277 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0422 loss: 1.0422 2022/07/24 04:58:26 - mmengine - INFO - Epoch(train) [70][2180/3757] lr: 1.0000e-03 eta: 21:11:55 time: 0.6283 data_time: 0.0233 memory: 17350 grad_norm: 8.1515 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3648 loss: 1.3648 2022/07/24 04:58:39 - mmengine - INFO - Epoch(train) [70][2200/3757] lr: 1.0000e-03 eta: 21:11:42 time: 0.6738 data_time: 0.0363 memory: 17350 grad_norm: 7.7229 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9595 loss: 0.9595 2022/07/24 04:58:53 - mmengine - INFO - Epoch(train) [70][2220/3757] lr: 1.0000e-03 eta: 21:11:29 time: 0.6848 data_time: 0.0262 memory: 17350 grad_norm: 8.1332 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9560 loss: 0.9560 2022/07/24 04:59:06 - mmengine - INFO - Epoch(train) [70][2240/3757] lr: 1.0000e-03 eta: 21:11:15 time: 0.6393 data_time: 0.0798 memory: 17350 grad_norm: 7.5414 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2201 loss: 1.2201 2022/07/24 04:59:19 - mmengine - INFO - Epoch(train) [70][2260/3757] lr: 1.0000e-03 eta: 21:11:02 time: 0.6741 data_time: 0.0630 memory: 17350 grad_norm: 8.0564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9740 loss: 0.9740 2022/07/24 04:59:33 - mmengine - INFO - Epoch(train) [70][2280/3757] lr: 1.0000e-03 eta: 21:10:49 time: 0.6804 data_time: 0.0479 memory: 17350 grad_norm: 7.8124 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1348 loss: 1.1348 2022/07/24 04:59:46 - mmengine - INFO - Epoch(train) [70][2300/3757] lr: 1.0000e-03 eta: 21:10:35 time: 0.6403 data_time: 0.0843 memory: 17350 grad_norm: 7.8415 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1978 loss: 1.1978 2022/07/24 04:59:59 - mmengine - INFO - Epoch(train) [70][2320/3757] lr: 1.0000e-03 eta: 21:10:21 time: 0.6550 data_time: 0.0872 memory: 17350 grad_norm: 7.8880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1260 loss: 1.1260 2022/07/24 05:00:13 - mmengine - INFO - Epoch(train) [70][2340/3757] lr: 1.0000e-03 eta: 21:10:08 time: 0.6842 data_time: 0.0991 memory: 17350 grad_norm: 7.7525 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1412 loss: 1.1412 2022/07/24 05:00:26 - mmengine - INFO - Epoch(train) [70][2360/3757] lr: 1.0000e-03 eta: 21:09:55 time: 0.6848 data_time: 0.0735 memory: 17350 grad_norm: 8.1529 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1468 loss: 1.1468 2022/07/24 05:00:39 - mmengine - INFO - Epoch(train) [70][2380/3757] lr: 1.0000e-03 eta: 21:09:42 time: 0.6483 data_time: 0.0230 memory: 17350 grad_norm: 7.8401 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7995 loss: 0.7995 2022/07/24 05:00:54 - mmengine - INFO - Epoch(train) [70][2400/3757] lr: 1.0000e-03 eta: 21:09:29 time: 0.7374 data_time: 0.0227 memory: 17350 grad_norm: 8.0195 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0489 loss: 1.0489 2022/07/24 05:01:06 - mmengine - INFO - Epoch(train) [70][2420/3757] lr: 1.0000e-03 eta: 21:09:15 time: 0.5999 data_time: 0.0239 memory: 17350 grad_norm: 8.0450 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1738 loss: 1.1738 2022/07/24 05:01:21 - mmengine - INFO - Epoch(train) [70][2440/3757] lr: 1.0000e-03 eta: 21:09:02 time: 0.7172 data_time: 0.0264 memory: 17350 grad_norm: 7.8369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2349 loss: 1.2349 2022/07/24 05:01:34 - mmengine - INFO - Epoch(train) [70][2460/3757] lr: 1.0000e-03 eta: 21:08:49 time: 0.6632 data_time: 0.0491 memory: 17350 grad_norm: 7.7016 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0046 loss: 1.0046 2022/07/24 05:01:48 - mmengine - INFO - Epoch(train) [70][2480/3757] lr: 1.0000e-03 eta: 21:08:35 time: 0.6865 data_time: 0.0224 memory: 17350 grad_norm: 8.0656 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1651 loss: 1.1651 2022/07/24 05:02:00 - mmengine - INFO - Epoch(train) [70][2500/3757] lr: 1.0000e-03 eta: 21:08:21 time: 0.6040 data_time: 0.0280 memory: 17350 grad_norm: 7.7694 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9621 loss: 0.9621 2022/07/24 05:02:14 - mmengine - INFO - Epoch(train) [70][2520/3757] lr: 1.0000e-03 eta: 21:08:09 time: 0.7387 data_time: 0.0233 memory: 17350 grad_norm: 8.2317 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1353 loss: 1.1353 2022/07/24 05:02:26 - mmengine - INFO - Epoch(train) [70][2540/3757] lr: 1.0000e-03 eta: 21:07:55 time: 0.5862 data_time: 0.0576 memory: 17350 grad_norm: 7.6644 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1006 loss: 1.1006 2022/07/24 05:02:40 - mmengine - INFO - Epoch(train) [70][2560/3757] lr: 1.0000e-03 eta: 21:07:41 time: 0.6703 data_time: 0.1846 memory: 17350 grad_norm: 8.1116 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9875 loss: 0.9875 2022/07/24 05:02:54 - mmengine - INFO - Epoch(train) [70][2580/3757] lr: 1.0000e-03 eta: 21:07:28 time: 0.6931 data_time: 0.2865 memory: 17350 grad_norm: 8.0610 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1289 loss: 1.1289 2022/07/24 05:03:06 - mmengine - INFO - Epoch(train) [70][2600/3757] lr: 1.0000e-03 eta: 21:07:15 time: 0.6447 data_time: 0.1540 memory: 17350 grad_norm: 8.0990 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3096 loss: 1.3096 2022/07/24 05:03:20 - mmengine - INFO - Epoch(train) [70][2620/3757] lr: 1.0000e-03 eta: 21:07:01 time: 0.6978 data_time: 0.2777 memory: 17350 grad_norm: 7.7838 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2158 loss: 1.2158 2022/07/24 05:03:34 - mmengine - INFO - Epoch(train) [70][2640/3757] lr: 1.0000e-03 eta: 21:06:48 time: 0.6616 data_time: 0.3044 memory: 17350 grad_norm: 7.9030 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1396 loss: 1.1396 2022/07/24 05:03:48 - mmengine - INFO - Epoch(train) [70][2660/3757] lr: 1.0000e-03 eta: 21:06:35 time: 0.7165 data_time: 0.3782 memory: 17350 grad_norm: 7.8482 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0916 loss: 1.0916 2022/07/24 05:04:00 - mmengine - INFO - Epoch(train) [70][2680/3757] lr: 1.0000e-03 eta: 21:06:21 time: 0.6090 data_time: 0.2722 memory: 17350 grad_norm: 7.7487 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1956 loss: 1.1956 2022/07/24 05:04:14 - mmengine - INFO - Epoch(train) [70][2700/3757] lr: 1.0000e-03 eta: 21:06:08 time: 0.7095 data_time: 0.3675 memory: 17350 grad_norm: 7.8354 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.1493 loss: 1.1493 2022/07/24 05:04:27 - mmengine - INFO - Epoch(train) [70][2720/3757] lr: 1.0000e-03 eta: 21:05:54 time: 0.6157 data_time: 0.2261 memory: 17350 grad_norm: 7.8264 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0336 loss: 1.0336 2022/07/24 05:04:40 - mmengine - INFO - Epoch(train) [70][2740/3757] lr: 1.0000e-03 eta: 21:05:41 time: 0.6706 data_time: 0.2109 memory: 17350 grad_norm: 7.8490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1190 loss: 1.1190 2022/07/24 05:04:55 - mmengine - INFO - Epoch(train) [70][2760/3757] lr: 1.0000e-03 eta: 21:05:28 time: 0.7164 data_time: 0.1062 memory: 17350 grad_norm: 8.0701 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2386 loss: 1.2386 2022/07/24 05:04:59 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 05:05:07 - mmengine - INFO - Epoch(train) [70][2780/3757] lr: 1.0000e-03 eta: 21:05:15 time: 0.6445 data_time: 0.1047 memory: 17350 grad_norm: 7.9726 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1917 loss: 1.1917 2022/07/24 05:05:22 - mmengine - INFO - Epoch(train) [70][2800/3757] lr: 1.0000e-03 eta: 21:05:02 time: 0.7113 data_time: 0.0967 memory: 17350 grad_norm: 7.7082 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9613 loss: 0.9613 2022/07/24 05:05:35 - mmengine - INFO - Epoch(train) [70][2820/3757] lr: 1.0000e-03 eta: 21:04:48 time: 0.6726 data_time: 0.1430 memory: 17350 grad_norm: 7.8212 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9648 loss: 0.9648 2022/07/24 05:05:48 - mmengine - INFO - Epoch(train) [70][2840/3757] lr: 1.0000e-03 eta: 21:04:35 time: 0.6532 data_time: 0.1214 memory: 17350 grad_norm: 7.8085 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9770 loss: 0.9770 2022/07/24 05:06:01 - mmengine - INFO - Epoch(train) [70][2860/3757] lr: 1.0000e-03 eta: 21:04:21 time: 0.6533 data_time: 0.1630 memory: 17350 grad_norm: 7.6901 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0925 loss: 1.0925 2022/07/24 05:06:15 - mmengine - INFO - Epoch(train) [70][2880/3757] lr: 1.0000e-03 eta: 21:04:08 time: 0.7074 data_time: 0.0966 memory: 17350 grad_norm: 7.7528 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3445 loss: 1.3445 2022/07/24 05:06:28 - mmengine - INFO - Epoch(train) [70][2900/3757] lr: 1.0000e-03 eta: 21:03:55 time: 0.6151 data_time: 0.1852 memory: 17350 grad_norm: 7.8554 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1979 loss: 1.1979 2022/07/24 05:06:41 - mmengine - INFO - Epoch(train) [70][2920/3757] lr: 1.0000e-03 eta: 21:03:41 time: 0.6603 data_time: 0.0784 memory: 17350 grad_norm: 7.8325 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0335 loss: 1.0335 2022/07/24 05:06:55 - mmengine - INFO - Epoch(train) [70][2940/3757] lr: 1.0000e-03 eta: 21:03:28 time: 0.6936 data_time: 0.1980 memory: 17350 grad_norm: 7.9987 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.2992 loss: 1.2992 2022/07/24 05:07:08 - mmengine - INFO - Epoch(train) [70][2960/3757] lr: 1.0000e-03 eta: 21:03:14 time: 0.6327 data_time: 0.1498 memory: 17350 grad_norm: 7.8488 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9867 loss: 0.9867 2022/07/24 05:07:21 - mmengine - INFO - Epoch(train) [70][2980/3757] lr: 1.0000e-03 eta: 21:03:01 time: 0.6693 data_time: 0.1956 memory: 17350 grad_norm: 8.1940 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4456 loss: 1.4456 2022/07/24 05:07:35 - mmengine - INFO - Epoch(train) [70][3000/3757] lr: 1.0000e-03 eta: 21:02:48 time: 0.6822 data_time: 0.1114 memory: 17350 grad_norm: 7.6971 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9415 loss: 0.9415 2022/07/24 05:07:48 - mmengine - INFO - Epoch(train) [70][3020/3757] lr: 1.0000e-03 eta: 21:02:35 time: 0.6766 data_time: 0.3130 memory: 17350 grad_norm: 7.9130 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0541 loss: 1.0541 2022/07/24 05:08:00 - mmengine - INFO - Epoch(train) [70][3040/3757] lr: 1.0000e-03 eta: 21:02:21 time: 0.6075 data_time: 0.2307 memory: 17350 grad_norm: 7.9017 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0766 loss: 1.0766 2022/07/24 05:08:14 - mmengine - INFO - Epoch(train) [70][3060/3757] lr: 1.0000e-03 eta: 21:02:08 time: 0.6986 data_time: 0.3271 memory: 17350 grad_norm: 8.0115 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0540 loss: 1.0540 2022/07/24 05:08:27 - mmengine - INFO - Epoch(train) [70][3080/3757] lr: 1.0000e-03 eta: 21:01:54 time: 0.6425 data_time: 0.2973 memory: 17350 grad_norm: 8.0288 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0408 loss: 1.0408 2022/07/24 05:08:41 - mmengine - INFO - Epoch(train) [70][3100/3757] lr: 1.0000e-03 eta: 21:01:41 time: 0.6797 data_time: 0.3321 memory: 17350 grad_norm: 8.1122 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2230 loss: 1.2230 2022/07/24 05:08:54 - mmengine - INFO - Epoch(train) [70][3120/3757] lr: 1.0000e-03 eta: 21:01:27 time: 0.6594 data_time: 0.1500 memory: 17350 grad_norm: 8.2181 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1633 loss: 1.1633 2022/07/24 05:09:07 - mmengine - INFO - Epoch(train) [70][3140/3757] lr: 1.0000e-03 eta: 21:01:14 time: 0.6647 data_time: 0.1880 memory: 17350 grad_norm: 7.9992 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2070 loss: 1.2070 2022/07/24 05:09:21 - mmengine - INFO - Epoch(train) [70][3160/3757] lr: 1.0000e-03 eta: 21:01:01 time: 0.6691 data_time: 0.1232 memory: 17350 grad_norm: 8.0623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4264 loss: 1.4264 2022/07/24 05:09:34 - mmengine - INFO - Epoch(train) [70][3180/3757] lr: 1.0000e-03 eta: 21:00:47 time: 0.6588 data_time: 0.2190 memory: 17350 grad_norm: 7.7403 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9147 loss: 0.9147 2022/07/24 05:09:47 - mmengine - INFO - Epoch(train) [70][3200/3757] lr: 1.0000e-03 eta: 21:00:34 time: 0.6681 data_time: 0.1202 memory: 17350 grad_norm: 7.5489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8962 loss: 0.8962 2022/07/24 05:10:01 - mmengine - INFO - Epoch(train) [70][3220/3757] lr: 1.0000e-03 eta: 21:00:20 time: 0.6647 data_time: 0.2016 memory: 17350 grad_norm: 7.8884 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9266 loss: 0.9266 2022/07/24 05:10:14 - mmengine - INFO - Epoch(train) [70][3240/3757] lr: 1.0000e-03 eta: 21:00:07 time: 0.6476 data_time: 0.2013 memory: 17350 grad_norm: 8.1387 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9253 loss: 0.9253 2022/07/24 05:10:28 - mmengine - INFO - Epoch(train) [70][3260/3757] lr: 1.0000e-03 eta: 20:59:54 time: 0.7406 data_time: 0.3887 memory: 17350 grad_norm: 7.8054 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1095 loss: 1.1095 2022/07/24 05:10:40 - mmengine - INFO - Epoch(train) [70][3280/3757] lr: 1.0000e-03 eta: 20:59:40 time: 0.5825 data_time: 0.2414 memory: 17350 grad_norm: 7.5877 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7852 loss: 0.7852 2022/07/24 05:10:54 - mmengine - INFO - Epoch(train) [70][3300/3757] lr: 1.0000e-03 eta: 20:59:27 time: 0.7086 data_time: 0.3726 memory: 17350 grad_norm: 8.1924 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4248 loss: 1.4248 2022/07/24 05:11:07 - mmengine - INFO - Epoch(train) [70][3320/3757] lr: 1.0000e-03 eta: 20:59:13 time: 0.6357 data_time: 0.3013 memory: 17350 grad_norm: 8.3784 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 0.9603 loss: 0.9603 2022/07/24 05:11:22 - mmengine - INFO - Epoch(train) [70][3340/3757] lr: 1.0000e-03 eta: 20:59:01 time: 0.7393 data_time: 0.3976 memory: 17350 grad_norm: 7.9817 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4556 loss: 1.4556 2022/07/24 05:11:34 - mmengine - INFO - Epoch(train) [70][3360/3757] lr: 1.0000e-03 eta: 20:58:47 time: 0.5913 data_time: 0.2470 memory: 17350 grad_norm: 7.7474 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9882 loss: 0.9882 2022/07/24 05:11:49 - mmengine - INFO - Epoch(train) [70][3380/3757] lr: 1.0000e-03 eta: 20:58:34 time: 0.7480 data_time: 0.3038 memory: 17350 grad_norm: 8.3698 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1990 loss: 1.1990 2022/07/24 05:12:01 - mmengine - INFO - Epoch(train) [70][3400/3757] lr: 1.0000e-03 eta: 20:58:20 time: 0.6396 data_time: 0.1964 memory: 17350 grad_norm: 7.7314 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0164 loss: 1.0164 2022/07/24 05:12:16 - mmengine - INFO - Epoch(train) [70][3420/3757] lr: 1.0000e-03 eta: 20:58:08 time: 0.7358 data_time: 0.1764 memory: 17350 grad_norm: 7.9803 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2701 loss: 1.2701 2022/07/24 05:12:28 - mmengine - INFO - Epoch(train) [70][3440/3757] lr: 1.0000e-03 eta: 20:57:54 time: 0.5915 data_time: 0.0654 memory: 17350 grad_norm: 8.2961 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2605 loss: 1.2605 2022/07/24 05:12:43 - mmengine - INFO - Epoch(train) [70][3460/3757] lr: 1.0000e-03 eta: 20:57:41 time: 0.7319 data_time: 0.0830 memory: 17350 grad_norm: 7.9410 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2703 loss: 1.2703 2022/07/24 05:12:54 - mmengine - INFO - Epoch(train) [70][3480/3757] lr: 1.0000e-03 eta: 20:57:27 time: 0.5806 data_time: 0.0495 memory: 17350 grad_norm: 7.7526 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8490 loss: 0.8490 2022/07/24 05:13:08 - mmengine - INFO - Epoch(train) [70][3500/3757] lr: 1.0000e-03 eta: 20:57:14 time: 0.7092 data_time: 0.0534 memory: 17350 grad_norm: 7.7494 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0939 loss: 1.0939 2022/07/24 05:13:21 - mmengine - INFO - Epoch(train) [70][3520/3757] lr: 1.0000e-03 eta: 20:57:00 time: 0.6342 data_time: 0.0593 memory: 17350 grad_norm: 8.3263 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1458 loss: 1.1458 2022/07/24 05:13:35 - mmengine - INFO - Epoch(train) [70][3540/3757] lr: 1.0000e-03 eta: 20:56:47 time: 0.7098 data_time: 0.0250 memory: 17350 grad_norm: 7.8437 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1636 loss: 1.1636 2022/07/24 05:13:47 - mmengine - INFO - Epoch(train) [70][3560/3757] lr: 1.0000e-03 eta: 20:56:33 time: 0.5990 data_time: 0.0231 memory: 17350 grad_norm: 8.1018 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1505 loss: 1.1505 2022/07/24 05:14:02 - mmengine - INFO - Epoch(train) [70][3580/3757] lr: 1.0000e-03 eta: 20:56:20 time: 0.7328 data_time: 0.0215 memory: 17350 grad_norm: 8.1039 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9707 loss: 0.9707 2022/07/24 05:14:14 - mmengine - INFO - Epoch(train) [70][3600/3757] lr: 1.0000e-03 eta: 20:56:07 time: 0.6129 data_time: 0.0232 memory: 17350 grad_norm: 7.6023 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2074 loss: 1.2074 2022/07/24 05:14:28 - mmengine - INFO - Epoch(train) [70][3620/3757] lr: 1.0000e-03 eta: 20:55:53 time: 0.6916 data_time: 0.0230 memory: 17350 grad_norm: 7.8184 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1716 loss: 1.1716 2022/07/24 05:14:40 - mmengine - INFO - Epoch(train) [70][3640/3757] lr: 1.0000e-03 eta: 20:55:39 time: 0.5795 data_time: 0.0405 memory: 17350 grad_norm: 7.7748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9925 loss: 0.9925 2022/07/24 05:14:55 - mmengine - INFO - Epoch(train) [70][3660/3757] lr: 1.0000e-03 eta: 20:55:27 time: 0.7593 data_time: 0.1159 memory: 17350 grad_norm: 7.6259 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0567 loss: 1.0567 2022/07/24 05:15:08 - mmengine - INFO - Epoch(train) [70][3680/3757] lr: 1.0000e-03 eta: 20:55:13 time: 0.6382 data_time: 0.0303 memory: 17350 grad_norm: 8.3778 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1385 loss: 1.1385 2022/07/24 05:15:22 - mmengine - INFO - Epoch(train) [70][3700/3757] lr: 1.0000e-03 eta: 20:55:00 time: 0.7076 data_time: 0.0215 memory: 17350 grad_norm: 7.8700 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1872 loss: 1.1872 2022/07/24 05:15:35 - mmengine - INFO - Epoch(train) [70][3720/3757] lr: 1.0000e-03 eta: 20:54:46 time: 0.6307 data_time: 0.0236 memory: 17350 grad_norm: 8.0797 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9852 loss: 0.9852 2022/07/24 05:15:49 - mmengine - INFO - Epoch(train) [70][3740/3757] lr: 1.0000e-03 eta: 20:54:34 time: 0.7218 data_time: 0.0239 memory: 17350 grad_norm: 7.8442 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2189 loss: 1.2189 2022/07/24 05:15:56 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 05:15:56 - mmengine - INFO - Epoch(train) [70][3757/3757] lr: 1.0000e-03 eta: 20:54:34 time: 0.5385 data_time: 0.0238 memory: 17350 grad_norm: 7.6101 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.9984 loss: 0.9984 2022/07/24 05:15:56 - mmengine - INFO - Saving checkpoint at 70 epochs 2022/07/24 05:16:16 - mmengine - INFO - Epoch(val) [70][20/310] eta: 0:03:56 time: 0.8161 data_time: 0.7022 memory: 3406 2022/07/24 05:16:27 - mmengine - INFO - Epoch(val) [70][40/310] eta: 0:02:23 time: 0.5324 data_time: 0.4162 memory: 3406 2022/07/24 05:16:43 - mmengine - INFO - Epoch(val) [70][60/310] eta: 0:03:19 time: 0.7973 data_time: 0.6839 memory: 3406 2022/07/24 05:16:53 - mmengine - INFO - Epoch(val) [70][80/310] eta: 0:02:00 time: 0.5225 data_time: 0.4114 memory: 3406 2022/07/24 05:17:08 - mmengine - INFO - Epoch(val) [70][100/310] eta: 0:02:37 time: 0.7485 data_time: 0.6361 memory: 3406 2022/07/24 05:17:20 - mmengine - INFO - Epoch(val) [70][120/310] eta: 0:01:47 time: 0.5669 data_time: 0.4552 memory: 3406 2022/07/24 05:17:35 - mmengine - INFO - Epoch(val) [70][140/310] eta: 0:02:13 time: 0.7854 data_time: 0.6713 memory: 3406 2022/07/24 05:17:46 - mmengine - INFO - Epoch(val) [70][160/310] eta: 0:01:23 time: 0.5560 data_time: 0.4417 memory: 3406 2022/07/24 05:18:03 - mmengine - INFO - Epoch(val) [70][180/310] eta: 0:01:44 time: 0.8041 data_time: 0.6894 memory: 3406 2022/07/24 05:18:14 - mmengine - INFO - Epoch(val) [70][200/310] eta: 0:01:01 time: 0.5575 data_time: 0.4433 memory: 3406 2022/07/24 05:18:28 - mmengine - INFO - Epoch(val) [70][220/310] eta: 0:01:05 time: 0.7312 data_time: 0.6184 memory: 3406 2022/07/24 05:18:39 - mmengine - INFO - Epoch(val) [70][240/310] eta: 0:00:38 time: 0.5560 data_time: 0.4437 memory: 3406 2022/07/24 05:18:55 - mmengine - INFO - Epoch(val) [70][260/310] eta: 0:00:38 time: 0.7663 data_time: 0.6510 memory: 3406 2022/07/24 05:19:06 - mmengine - INFO - Epoch(val) [70][280/310] eta: 0:00:16 time: 0.5550 data_time: 0.4421 memory: 3406 2022/07/24 05:19:19 - mmengine - INFO - Epoch(val) [70][300/310] eta: 0:00:06 time: 0.6813 data_time: 0.5660 memory: 3406 2022/07/24 05:19:23 - mmengine - INFO - Epoch(val) [70][310/310] acc/top1: 0.6766 acc/top5: 0.8741 acc/mean1: 0.6765 2022/07/24 05:19:35 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 05:19:40 - mmengine - INFO - Epoch(train) [71][20/3757] lr: 1.0000e-03 eta: 20:54:06 time: 0.8714 data_time: 0.5201 memory: 17350 grad_norm: 7.6890 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2457 loss: 1.2457 2022/07/24 05:19:53 - mmengine - INFO - Epoch(train) [71][40/3757] lr: 1.0000e-03 eta: 20:53:52 time: 0.6141 data_time: 0.2383 memory: 17350 grad_norm: 7.8583 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1174 loss: 1.1174 2022/07/24 05:20:08 - mmengine - INFO - Epoch(train) [71][60/3757] lr: 1.0000e-03 eta: 20:53:39 time: 0.7655 data_time: 0.3525 memory: 17350 grad_norm: 8.1107 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2535 loss: 1.2535 2022/07/24 05:20:20 - mmengine - INFO - Epoch(train) [71][80/3757] lr: 1.0000e-03 eta: 20:53:25 time: 0.5976 data_time: 0.1512 memory: 17350 grad_norm: 8.1456 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9202 loss: 0.9202 2022/07/24 05:20:35 - mmengine - INFO - Epoch(train) [71][100/3757] lr: 1.0000e-03 eta: 20:53:13 time: 0.7558 data_time: 0.1251 memory: 17350 grad_norm: 8.0387 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2358 loss: 1.2358 2022/07/24 05:20:48 - mmengine - INFO - Epoch(train) [71][120/3757] lr: 1.0000e-03 eta: 20:52:59 time: 0.6637 data_time: 0.0915 memory: 17350 grad_norm: 7.6718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0467 loss: 1.0467 2022/07/24 05:21:03 - mmengine - INFO - Epoch(train) [71][140/3757] lr: 1.0000e-03 eta: 20:52:46 time: 0.7048 data_time: 0.1954 memory: 17350 grad_norm: 7.9892 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9447 loss: 0.9447 2022/07/24 05:21:15 - mmengine - INFO - Epoch(train) [71][160/3757] lr: 1.0000e-03 eta: 20:52:33 time: 0.6138 data_time: 0.1331 memory: 17350 grad_norm: 8.1263 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3420 loss: 1.3420 2022/07/24 05:21:30 - mmengine - INFO - Epoch(train) [71][180/3757] lr: 1.0000e-03 eta: 20:52:20 time: 0.7332 data_time: 0.1579 memory: 17350 grad_norm: 7.8709 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2602 loss: 1.2602 2022/07/24 05:21:42 - mmengine - INFO - Epoch(train) [71][200/3757] lr: 1.0000e-03 eta: 20:52:06 time: 0.6222 data_time: 0.1365 memory: 17350 grad_norm: 8.0287 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1164 loss: 1.1164 2022/07/24 05:21:57 - mmengine - INFO - Epoch(train) [71][220/3757] lr: 1.0000e-03 eta: 20:51:53 time: 0.7271 data_time: 0.0325 memory: 17350 grad_norm: 7.8775 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1344 loss: 1.1344 2022/07/24 05:22:09 - mmengine - INFO - Epoch(train) [71][240/3757] lr: 1.0000e-03 eta: 20:51:39 time: 0.6105 data_time: 0.0699 memory: 17350 grad_norm: 7.8072 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0204 loss: 1.0204 2022/07/24 05:22:23 - mmengine - INFO - Epoch(train) [71][260/3757] lr: 1.0000e-03 eta: 20:51:26 time: 0.6970 data_time: 0.0631 memory: 17350 grad_norm: 8.0616 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9758 loss: 0.9758 2022/07/24 05:22:35 - mmengine - INFO - Epoch(train) [71][280/3757] lr: 1.0000e-03 eta: 20:51:12 time: 0.6201 data_time: 0.0816 memory: 17350 grad_norm: 7.8748 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1384 loss: 1.1384 2022/07/24 05:22:50 - mmengine - INFO - Epoch(train) [71][300/3757] lr: 1.0000e-03 eta: 20:51:00 time: 0.7473 data_time: 0.1197 memory: 17350 grad_norm: 8.0970 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1552 loss: 1.1552 2022/07/24 05:23:02 - mmengine - INFO - Epoch(train) [71][320/3757] lr: 1.0000e-03 eta: 20:50:46 time: 0.5804 data_time: 0.1118 memory: 17350 grad_norm: 7.5909 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3182 loss: 1.3182 2022/07/24 05:23:17 - mmengine - INFO - Epoch(train) [71][340/3757] lr: 1.0000e-03 eta: 20:50:33 time: 0.7370 data_time: 0.1325 memory: 17350 grad_norm: 7.8687 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9593 loss: 0.9593 2022/07/24 05:23:28 - mmengine - INFO - Epoch(train) [71][360/3757] lr: 1.0000e-03 eta: 20:50:19 time: 0.5876 data_time: 0.0771 memory: 17350 grad_norm: 8.2044 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1186 loss: 1.1186 2022/07/24 05:23:43 - mmengine - INFO - Epoch(train) [71][380/3757] lr: 1.0000e-03 eta: 20:50:06 time: 0.7355 data_time: 0.1002 memory: 17350 grad_norm: 7.6610 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0986 loss: 1.0986 2022/07/24 05:23:55 - mmengine - INFO - Epoch(train) [71][400/3757] lr: 1.0000e-03 eta: 20:49:52 time: 0.5940 data_time: 0.0929 memory: 17350 grad_norm: 7.7652 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1835 loss: 1.1835 2022/07/24 05:24:10 - mmengine - INFO - Epoch(train) [71][420/3757] lr: 1.0000e-03 eta: 20:49:39 time: 0.7355 data_time: 0.1473 memory: 17350 grad_norm: 8.2637 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4326 loss: 1.4326 2022/07/24 05:24:22 - mmengine - INFO - Epoch(train) [71][440/3757] lr: 1.0000e-03 eta: 20:49:25 time: 0.6091 data_time: 0.1435 memory: 17350 grad_norm: 7.9789 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2005 loss: 1.2005 2022/07/24 05:24:36 - mmengine - INFO - Epoch(train) [71][460/3757] lr: 1.0000e-03 eta: 20:49:13 time: 0.7209 data_time: 0.2277 memory: 17350 grad_norm: 8.0124 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9177 loss: 0.9177 2022/07/24 05:24:48 - mmengine - INFO - Epoch(train) [71][480/3757] lr: 1.0000e-03 eta: 20:48:59 time: 0.5857 data_time: 0.2305 memory: 17350 grad_norm: 7.8814 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3246 loss: 1.3246 2022/07/24 05:25:03 - mmengine - INFO - Epoch(train) [71][500/3757] lr: 1.0000e-03 eta: 20:48:46 time: 0.7369 data_time: 0.3026 memory: 17350 grad_norm: 8.0312 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1196 loss: 1.1196 2022/07/24 05:25:16 - mmengine - INFO - Epoch(train) [71][520/3757] lr: 1.0000e-03 eta: 20:48:32 time: 0.6498 data_time: 0.2011 memory: 17350 grad_norm: 7.9710 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1551 loss: 1.1551 2022/07/24 05:25:31 - mmengine - INFO - Epoch(train) [71][540/3757] lr: 1.0000e-03 eta: 20:48:20 time: 0.7850 data_time: 0.1212 memory: 17350 grad_norm: 7.8550 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3403 loss: 1.3403 2022/07/24 05:25:43 - mmengine - INFO - Epoch(train) [71][560/3757] lr: 1.0000e-03 eta: 20:48:06 time: 0.5784 data_time: 0.0247 memory: 17350 grad_norm: 8.1253 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3380 loss: 1.3380 2022/07/24 05:25:57 - mmengine - INFO - Epoch(train) [71][580/3757] lr: 1.0000e-03 eta: 20:47:53 time: 0.7173 data_time: 0.0350 memory: 17350 grad_norm: 8.3213 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1288 loss: 1.1288 2022/07/24 05:26:10 - mmengine - INFO - Epoch(train) [71][600/3757] lr: 1.0000e-03 eta: 20:47:39 time: 0.6133 data_time: 0.0586 memory: 17350 grad_norm: 8.0193 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1646 loss: 1.1646 2022/07/24 05:26:25 - mmengine - INFO - Epoch(train) [71][620/3757] lr: 1.0000e-03 eta: 20:47:27 time: 0.7684 data_time: 0.0980 memory: 17350 grad_norm: 7.7693 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0868 loss: 1.0868 2022/07/24 05:26:37 - mmengine - INFO - Epoch(train) [71][640/3757] lr: 1.0000e-03 eta: 20:47:12 time: 0.5792 data_time: 0.0241 memory: 17350 grad_norm: 7.7607 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9127 loss: 0.9127 2022/07/24 05:26:51 - mmengine - INFO - Epoch(train) [71][660/3757] lr: 1.0000e-03 eta: 20:47:00 time: 0.7245 data_time: 0.0355 memory: 17350 grad_norm: 8.0137 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1892 loss: 1.1892 2022/07/24 05:27:03 - mmengine - INFO - Epoch(train) [71][680/3757] lr: 1.0000e-03 eta: 20:46:46 time: 0.6020 data_time: 0.0234 memory: 17350 grad_norm: 7.4232 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2757 loss: 1.2757 2022/07/24 05:27:17 - mmengine - INFO - Epoch(train) [71][700/3757] lr: 1.0000e-03 eta: 20:46:32 time: 0.6738 data_time: 0.0276 memory: 17350 grad_norm: 7.6652 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9680 loss: 0.9680 2022/07/24 05:27:29 - mmengine - INFO - Epoch(train) [71][720/3757] lr: 1.0000e-03 eta: 20:46:19 time: 0.6271 data_time: 0.0442 memory: 17350 grad_norm: 7.9322 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2631 loss: 1.2631 2022/07/24 05:27:44 - mmengine - INFO - Epoch(train) [71][740/3757] lr: 1.0000e-03 eta: 20:46:06 time: 0.7484 data_time: 0.0796 memory: 17350 grad_norm: 7.9227 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1744 loss: 1.1744 2022/07/24 05:27:57 - mmengine - INFO - Epoch(train) [71][760/3757] lr: 1.0000e-03 eta: 20:45:52 time: 0.6287 data_time: 0.0310 memory: 17350 grad_norm: 7.9356 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1989 loss: 1.1989 2022/07/24 05:28:11 - mmengine - INFO - Epoch(train) [71][780/3757] lr: 1.0000e-03 eta: 20:45:39 time: 0.7091 data_time: 0.0251 memory: 17350 grad_norm: 7.7659 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2545 loss: 1.2545 2022/07/24 05:28:24 - mmengine - INFO - Epoch(train) [71][800/3757] lr: 1.0000e-03 eta: 20:45:26 time: 0.6241 data_time: 0.0208 memory: 17350 grad_norm: 8.0425 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9840 loss: 0.9840 2022/07/24 05:28:38 - mmengine - INFO - Epoch(train) [71][820/3757] lr: 1.0000e-03 eta: 20:45:13 time: 0.7160 data_time: 0.0245 memory: 17350 grad_norm: 7.8904 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0768 loss: 1.0768 2022/07/24 05:28:50 - mmengine - INFO - Epoch(train) [71][840/3757] lr: 1.0000e-03 eta: 20:44:59 time: 0.6089 data_time: 0.0908 memory: 17350 grad_norm: 7.8339 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1911 loss: 1.1911 2022/07/24 05:29:04 - mmengine - INFO - Epoch(train) [71][860/3757] lr: 1.0000e-03 eta: 20:44:46 time: 0.7147 data_time: 0.0850 memory: 17350 grad_norm: 7.6432 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7761 loss: 0.7761 2022/07/24 05:29:16 - mmengine - INFO - Epoch(train) [71][880/3757] lr: 1.0000e-03 eta: 20:44:32 time: 0.5893 data_time: 0.0536 memory: 17350 grad_norm: 8.2520 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2051 loss: 1.2051 2022/07/24 05:29:31 - mmengine - INFO - Epoch(train) [71][900/3757] lr: 1.0000e-03 eta: 20:44:19 time: 0.7498 data_time: 0.0208 memory: 17350 grad_norm: 7.7047 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1130 loss: 1.1130 2022/07/24 05:29:44 - mmengine - INFO - Epoch(train) [71][920/3757] lr: 1.0000e-03 eta: 20:44:05 time: 0.6220 data_time: 0.0259 memory: 17350 grad_norm: 7.5574 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7967 loss: 0.7967 2022/07/24 05:29:57 - mmengine - INFO - Epoch(train) [71][940/3757] lr: 1.0000e-03 eta: 20:43:52 time: 0.6843 data_time: 0.0378 memory: 17350 grad_norm: 8.2593 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0957 loss: 1.0957 2022/07/24 05:30:10 - mmengine - INFO - Epoch(train) [71][960/3757] lr: 1.0000e-03 eta: 20:43:38 time: 0.6205 data_time: 0.0221 memory: 17350 grad_norm: 8.0058 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2009 loss: 1.2009 2022/07/24 05:30:25 - mmengine - INFO - Epoch(train) [71][980/3757] lr: 1.0000e-03 eta: 20:43:26 time: 0.7456 data_time: 0.0247 memory: 17350 grad_norm: 7.9257 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1658 loss: 1.1658 2022/07/24 05:30:36 - mmengine - INFO - Epoch(train) [71][1000/3757] lr: 1.0000e-03 eta: 20:43:11 time: 0.5609 data_time: 0.0378 memory: 17350 grad_norm: 7.8481 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0215 loss: 1.0215 2022/07/24 05:30:45 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 05:30:50 - mmengine - INFO - Epoch(train) [71][1020/3757] lr: 1.0000e-03 eta: 20:42:59 time: 0.7224 data_time: 0.0697 memory: 17350 grad_norm: 8.1781 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5242 loss: 1.5242 2022/07/24 05:31:03 - mmengine - INFO - Epoch(train) [71][1040/3757] lr: 1.0000e-03 eta: 20:42:45 time: 0.6148 data_time: 0.0332 memory: 17350 grad_norm: 7.6847 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1295 loss: 1.1295 2022/07/24 05:31:17 - mmengine - INFO - Epoch(train) [71][1060/3757] lr: 1.0000e-03 eta: 20:42:32 time: 0.6985 data_time: 0.1014 memory: 17350 grad_norm: 7.9123 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9256 loss: 0.9256 2022/07/24 05:31:30 - mmengine - INFO - Epoch(train) [71][1080/3757] lr: 1.0000e-03 eta: 20:42:18 time: 0.6572 data_time: 0.0913 memory: 17350 grad_norm: 7.9855 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1271 loss: 1.1271 2022/07/24 05:31:44 - mmengine - INFO - Epoch(train) [71][1100/3757] lr: 1.0000e-03 eta: 20:42:05 time: 0.6829 data_time: 0.1464 memory: 17350 grad_norm: 8.2318 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7795 loss: 0.7795 2022/07/24 05:31:56 - mmengine - INFO - Epoch(train) [71][1120/3757] lr: 1.0000e-03 eta: 20:41:51 time: 0.6213 data_time: 0.1532 memory: 17350 grad_norm: 7.7701 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1040 loss: 1.1040 2022/07/24 05:32:10 - mmengine - INFO - Epoch(train) [71][1140/3757] lr: 1.0000e-03 eta: 20:41:38 time: 0.6911 data_time: 0.1009 memory: 17350 grad_norm: 7.8176 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2956 loss: 1.2956 2022/07/24 05:32:23 - mmengine - INFO - Epoch(train) [71][1160/3757] lr: 1.0000e-03 eta: 20:41:25 time: 0.6489 data_time: 0.0901 memory: 17350 grad_norm: 8.2398 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1680 loss: 1.1680 2022/07/24 05:32:37 - mmengine - INFO - Epoch(train) [71][1180/3757] lr: 1.0000e-03 eta: 20:41:12 time: 0.7196 data_time: 0.0224 memory: 17350 grad_norm: 7.9416 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0587 loss: 1.0587 2022/07/24 05:32:49 - mmengine - INFO - Epoch(train) [71][1200/3757] lr: 1.0000e-03 eta: 20:40:58 time: 0.6115 data_time: 0.0215 memory: 17350 grad_norm: 8.1148 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1567 loss: 1.1567 2022/07/24 05:33:04 - mmengine - INFO - Epoch(train) [71][1220/3757] lr: 1.0000e-03 eta: 20:40:45 time: 0.7225 data_time: 0.0220 memory: 17350 grad_norm: 7.9261 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9591 loss: 0.9591 2022/07/24 05:33:16 - mmengine - INFO - Epoch(train) [71][1240/3757] lr: 1.0000e-03 eta: 20:40:31 time: 0.6154 data_time: 0.0240 memory: 17350 grad_norm: 8.2183 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9027 loss: 0.9027 2022/07/24 05:33:30 - mmengine - INFO - Epoch(train) [71][1260/3757] lr: 1.0000e-03 eta: 20:40:18 time: 0.6900 data_time: 0.0228 memory: 17350 grad_norm: 8.1984 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3433 loss: 1.3433 2022/07/24 05:33:44 - mmengine - INFO - Epoch(train) [71][1280/3757] lr: 1.0000e-03 eta: 20:40:05 time: 0.6824 data_time: 0.0243 memory: 17350 grad_norm: 8.1687 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1805 loss: 1.1805 2022/07/24 05:33:58 - mmengine - INFO - Epoch(train) [71][1300/3757] lr: 1.0000e-03 eta: 20:39:52 time: 0.6937 data_time: 0.0219 memory: 17350 grad_norm: 7.9252 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2349 loss: 1.2349 2022/07/24 05:34:11 - mmengine - INFO - Epoch(train) [71][1320/3757] lr: 1.0000e-03 eta: 20:39:38 time: 0.6529 data_time: 0.0221 memory: 17350 grad_norm: 8.2061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2287 loss: 1.2287 2022/07/24 05:34:24 - mmengine - INFO - Epoch(train) [71][1340/3757] lr: 1.0000e-03 eta: 20:39:25 time: 0.6610 data_time: 0.0235 memory: 17350 grad_norm: 7.7536 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1262 loss: 1.1262 2022/07/24 05:34:37 - mmengine - INFO - Epoch(train) [71][1360/3757] lr: 1.0000e-03 eta: 20:39:11 time: 0.6735 data_time: 0.0212 memory: 17350 grad_norm: 8.0362 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2284 loss: 1.2284 2022/07/24 05:34:50 - mmengine - INFO - Epoch(train) [71][1380/3757] lr: 1.0000e-03 eta: 20:38:58 time: 0.6058 data_time: 0.0241 memory: 17350 grad_norm: 7.9489 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3251 loss: 1.3251 2022/07/24 05:35:05 - mmengine - INFO - Epoch(train) [71][1400/3757] lr: 1.0000e-03 eta: 20:38:45 time: 0.7660 data_time: 0.0226 memory: 17350 grad_norm: 7.8479 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2015 loss: 1.2015 2022/07/24 05:35:17 - mmengine - INFO - Epoch(train) [71][1420/3757] lr: 1.0000e-03 eta: 20:38:31 time: 0.6095 data_time: 0.0255 memory: 17350 grad_norm: 8.0964 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0854 loss: 1.0854 2022/07/24 05:35:31 - mmengine - INFO - Epoch(train) [71][1440/3757] lr: 1.0000e-03 eta: 20:38:18 time: 0.7039 data_time: 0.0217 memory: 17350 grad_norm: 8.2832 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1368 loss: 1.1368 2022/07/24 05:35:44 - mmengine - INFO - Epoch(train) [71][1460/3757] lr: 1.0000e-03 eta: 20:38:04 time: 0.6196 data_time: 0.0229 memory: 17350 grad_norm: 8.1646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9892 loss: 0.9892 2022/07/24 05:35:59 - mmengine - INFO - Epoch(train) [71][1480/3757] lr: 1.0000e-03 eta: 20:37:52 time: 0.7819 data_time: 0.0238 memory: 17350 grad_norm: 7.9939 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9749 loss: 0.9749 2022/07/24 05:36:10 - mmengine - INFO - Epoch(train) [71][1500/3757] lr: 1.0000e-03 eta: 20:37:37 time: 0.5320 data_time: 0.0227 memory: 17350 grad_norm: 7.7600 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1350 loss: 1.1350 2022/07/24 05:36:25 - mmengine - INFO - Epoch(train) [71][1520/3757] lr: 1.0000e-03 eta: 20:37:25 time: 0.7299 data_time: 0.0240 memory: 17350 grad_norm: 7.7609 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9959 loss: 0.9959 2022/07/24 05:36:36 - mmengine - INFO - Epoch(train) [71][1540/3757] lr: 1.0000e-03 eta: 20:37:11 time: 0.5970 data_time: 0.0231 memory: 17350 grad_norm: 7.9656 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3172 loss: 1.3172 2022/07/24 05:36:51 - mmengine - INFO - Epoch(train) [71][1560/3757] lr: 1.0000e-03 eta: 20:36:58 time: 0.7397 data_time: 0.0173 memory: 17350 grad_norm: 7.6908 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0541 loss: 1.0541 2022/07/24 05:37:04 - mmengine - INFO - Epoch(train) [71][1580/3757] lr: 1.0000e-03 eta: 20:36:44 time: 0.6298 data_time: 0.0253 memory: 17350 grad_norm: 7.7939 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0930 loss: 1.0930 2022/07/24 05:37:18 - mmengine - INFO - Epoch(train) [71][1600/3757] lr: 1.0000e-03 eta: 20:36:31 time: 0.7043 data_time: 0.0214 memory: 17350 grad_norm: 7.6864 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1953 loss: 1.1953 2022/07/24 05:37:30 - mmengine - INFO - Epoch(train) [71][1620/3757] lr: 1.0000e-03 eta: 20:36:17 time: 0.5841 data_time: 0.0213 memory: 17350 grad_norm: 8.1152 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8742 loss: 0.8742 2022/07/24 05:37:44 - mmengine - INFO - Epoch(train) [71][1640/3757] lr: 1.0000e-03 eta: 20:36:04 time: 0.7304 data_time: 0.0207 memory: 17350 grad_norm: 7.8560 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7796 loss: 0.7796 2022/07/24 05:37:56 - mmengine - INFO - Epoch(train) [71][1660/3757] lr: 1.0000e-03 eta: 20:35:50 time: 0.5700 data_time: 0.0231 memory: 17350 grad_norm: 7.8702 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0154 loss: 1.0154 2022/07/24 05:38:10 - mmengine - INFO - Epoch(train) [71][1680/3757] lr: 1.0000e-03 eta: 20:35:37 time: 0.7202 data_time: 0.0211 memory: 17350 grad_norm: 7.7382 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1101 loss: 1.1101 2022/07/24 05:38:23 - mmengine - INFO - Epoch(train) [71][1700/3757] lr: 1.0000e-03 eta: 20:35:23 time: 0.6174 data_time: 0.0230 memory: 17350 grad_norm: 8.0196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2297 loss: 1.2297 2022/07/24 05:38:38 - mmengine - INFO - Epoch(train) [71][1720/3757] lr: 1.0000e-03 eta: 20:35:11 time: 0.7582 data_time: 0.0215 memory: 17350 grad_norm: 7.9401 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0474 loss: 1.0474 2022/07/24 05:38:50 - mmengine - INFO - Epoch(train) [71][1740/3757] lr: 1.0000e-03 eta: 20:34:57 time: 0.6120 data_time: 0.0304 memory: 17350 grad_norm: 8.1299 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2555 loss: 1.2555 2022/07/24 05:39:04 - mmengine - INFO - Epoch(train) [71][1760/3757] lr: 1.0000e-03 eta: 20:34:44 time: 0.7150 data_time: 0.0228 memory: 17350 grad_norm: 8.1235 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2089 loss: 1.2089 2022/07/24 05:39:15 - mmengine - INFO - Epoch(train) [71][1780/3757] lr: 1.0000e-03 eta: 20:34:30 time: 0.5592 data_time: 0.0246 memory: 17350 grad_norm: 7.9190 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1627 loss: 1.1627 2022/07/24 05:39:31 - mmengine - INFO - Epoch(train) [71][1800/3757] lr: 1.0000e-03 eta: 20:34:17 time: 0.7631 data_time: 0.0227 memory: 17350 grad_norm: 7.6990 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1404 loss: 1.1404 2022/07/24 05:39:43 - mmengine - INFO - Epoch(train) [71][1820/3757] lr: 1.0000e-03 eta: 20:34:04 time: 0.6316 data_time: 0.0228 memory: 17350 grad_norm: 8.0072 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3115 loss: 1.3115 2022/07/24 05:39:57 - mmengine - INFO - Epoch(train) [71][1840/3757] lr: 1.0000e-03 eta: 20:33:50 time: 0.6858 data_time: 0.0225 memory: 17350 grad_norm: 8.3355 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9654 loss: 0.9654 2022/07/24 05:40:10 - mmengine - INFO - Epoch(train) [71][1860/3757] lr: 1.0000e-03 eta: 20:33:37 time: 0.6390 data_time: 0.0221 memory: 17350 grad_norm: 7.7554 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0595 loss: 1.0595 2022/07/24 05:40:24 - mmengine - INFO - Epoch(train) [71][1880/3757] lr: 1.0000e-03 eta: 20:33:24 time: 0.7055 data_time: 0.0226 memory: 17350 grad_norm: 8.0053 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1908 loss: 1.1908 2022/07/24 05:40:37 - mmengine - INFO - Epoch(train) [71][1900/3757] lr: 1.0000e-03 eta: 20:33:10 time: 0.6356 data_time: 0.0223 memory: 17350 grad_norm: 8.1638 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2068 loss: 1.2068 2022/07/24 05:40:51 - mmengine - INFO - Epoch(train) [71][1920/3757] lr: 1.0000e-03 eta: 20:32:57 time: 0.7051 data_time: 0.0221 memory: 17350 grad_norm: 7.8757 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2389 loss: 1.2389 2022/07/24 05:41:04 - mmengine - INFO - Epoch(train) [71][1940/3757] lr: 1.0000e-03 eta: 20:32:43 time: 0.6304 data_time: 0.0255 memory: 17350 grad_norm: 8.0434 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2550 loss: 1.2550 2022/07/24 05:41:19 - mmengine - INFO - Epoch(train) [71][1960/3757] lr: 1.0000e-03 eta: 20:32:31 time: 0.7592 data_time: 0.0219 memory: 17350 grad_norm: 7.7448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1931 loss: 1.1931 2022/07/24 05:41:30 - mmengine - INFO - Epoch(train) [71][1980/3757] lr: 1.0000e-03 eta: 20:32:17 time: 0.5768 data_time: 0.0222 memory: 17350 grad_norm: 7.6444 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0270 loss: 1.0270 2022/07/24 05:41:44 - mmengine - INFO - Epoch(train) [71][2000/3757] lr: 1.0000e-03 eta: 20:32:04 time: 0.7068 data_time: 0.0232 memory: 17350 grad_norm: 8.2260 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.0614 loss: 1.0614 2022/07/24 05:41:50 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 05:41:56 - mmengine - INFO - Epoch(train) [71][2020/3757] lr: 1.0000e-03 eta: 20:31:50 time: 0.5966 data_time: 0.0236 memory: 17350 grad_norm: 7.9025 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3471 loss: 1.3471 2022/07/24 05:42:11 - mmengine - INFO - Epoch(train) [71][2040/3757] lr: 1.0000e-03 eta: 20:31:37 time: 0.7144 data_time: 0.0203 memory: 17350 grad_norm: 7.8701 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3179 loss: 1.3179 2022/07/24 05:42:23 - mmengine - INFO - Epoch(train) [71][2060/3757] lr: 1.0000e-03 eta: 20:31:23 time: 0.6336 data_time: 0.0241 memory: 17350 grad_norm: 7.9677 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9955 loss: 0.9955 2022/07/24 05:42:37 - mmengine - INFO - Epoch(train) [71][2080/3757] lr: 1.0000e-03 eta: 20:31:10 time: 0.6843 data_time: 0.0145 memory: 17350 grad_norm: 7.9701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2607 loss: 1.2607 2022/07/24 05:42:49 - mmengine - INFO - Epoch(train) [71][2100/3757] lr: 1.0000e-03 eta: 20:30:56 time: 0.5910 data_time: 0.0217 memory: 17350 grad_norm: 8.1031 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1584 loss: 1.1584 2022/07/24 05:43:02 - mmengine - INFO - Epoch(train) [71][2120/3757] lr: 1.0000e-03 eta: 20:30:43 time: 0.6653 data_time: 0.0229 memory: 17350 grad_norm: 8.2964 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0107 loss: 1.0107 2022/07/24 05:43:16 - mmengine - INFO - Epoch(train) [71][2140/3757] lr: 1.0000e-03 eta: 20:30:29 time: 0.6809 data_time: 0.0236 memory: 17350 grad_norm: 8.3485 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3267 loss: 1.3267 2022/07/24 05:43:29 - mmengine - INFO - Epoch(train) [71][2160/3757] lr: 1.0000e-03 eta: 20:30:16 time: 0.6640 data_time: 0.0207 memory: 17350 grad_norm: 7.8720 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5040 loss: 1.5040 2022/07/24 05:43:43 - mmengine - INFO - Epoch(train) [71][2180/3757] lr: 1.0000e-03 eta: 20:30:03 time: 0.6674 data_time: 0.0229 memory: 17350 grad_norm: 8.1415 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3327 loss: 1.3327 2022/07/24 05:43:56 - mmengine - INFO - Epoch(train) [71][2200/3757] lr: 1.0000e-03 eta: 20:29:49 time: 0.6876 data_time: 0.0219 memory: 17350 grad_norm: 7.9399 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.0630 loss: 1.0630 2022/07/24 05:44:10 - mmengine - INFO - Epoch(train) [71][2220/3757] lr: 1.0000e-03 eta: 20:29:36 time: 0.6665 data_time: 0.0231 memory: 17350 grad_norm: 8.0781 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0737 loss: 1.0737 2022/07/24 05:44:23 - mmengine - INFO - Epoch(train) [71][2240/3757] lr: 1.0000e-03 eta: 20:29:23 time: 0.6837 data_time: 0.0234 memory: 17350 grad_norm: 8.1085 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2043 loss: 1.2043 2022/07/24 05:44:36 - mmengine - INFO - Epoch(train) [71][2260/3757] lr: 1.0000e-03 eta: 20:29:09 time: 0.6194 data_time: 0.0239 memory: 17350 grad_norm: 8.0640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0027 loss: 1.0027 2022/07/24 05:44:49 - mmengine - INFO - Epoch(train) [71][2280/3757] lr: 1.0000e-03 eta: 20:28:56 time: 0.6837 data_time: 0.0213 memory: 17350 grad_norm: 7.9609 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0831 loss: 1.0831 2022/07/24 05:45:02 - mmengine - INFO - Epoch(train) [71][2300/3757] lr: 1.0000e-03 eta: 20:28:42 time: 0.6248 data_time: 0.0223 memory: 17350 grad_norm: 7.9209 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0947 loss: 1.0947 2022/07/24 05:45:17 - mmengine - INFO - Epoch(train) [71][2320/3757] lr: 1.0000e-03 eta: 20:28:29 time: 0.7467 data_time: 0.0255 memory: 17350 grad_norm: 8.1154 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2610 loss: 1.2610 2022/07/24 05:45:30 - mmengine - INFO - Epoch(train) [71][2340/3757] lr: 1.0000e-03 eta: 20:28:16 time: 0.6308 data_time: 0.0270 memory: 17350 grad_norm: 7.9961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3032 loss: 1.3032 2022/07/24 05:45:43 - mmengine - INFO - Epoch(train) [71][2360/3757] lr: 1.0000e-03 eta: 20:28:02 time: 0.6597 data_time: 0.0231 memory: 17350 grad_norm: 8.1253 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0852 loss: 1.0852 2022/07/24 05:45:57 - mmengine - INFO - Epoch(train) [71][2380/3757] lr: 1.0000e-03 eta: 20:27:49 time: 0.7007 data_time: 0.0242 memory: 17350 grad_norm: 8.2333 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4486 loss: 1.4486 2022/07/24 05:46:09 - mmengine - INFO - Epoch(train) [71][2400/3757] lr: 1.0000e-03 eta: 20:27:36 time: 0.6295 data_time: 0.0244 memory: 17350 grad_norm: 7.9790 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2851 loss: 1.2851 2022/07/24 05:46:23 - mmengine - INFO - Epoch(train) [71][2420/3757] lr: 1.0000e-03 eta: 20:27:22 time: 0.6960 data_time: 0.0252 memory: 17350 grad_norm: 7.9514 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0300 loss: 1.0300 2022/07/24 05:46:36 - mmengine - INFO - Epoch(train) [71][2440/3757] lr: 1.0000e-03 eta: 20:27:09 time: 0.6306 data_time: 0.0224 memory: 17350 grad_norm: 7.6071 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0337 loss: 1.0337 2022/07/24 05:46:50 - mmengine - INFO - Epoch(train) [71][2460/3757] lr: 1.0000e-03 eta: 20:26:56 time: 0.6876 data_time: 0.0210 memory: 17350 grad_norm: 7.8864 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2075 loss: 1.2075 2022/07/24 05:47:03 - mmengine - INFO - Epoch(train) [71][2480/3757] lr: 1.0000e-03 eta: 20:26:42 time: 0.6397 data_time: 0.0221 memory: 17350 grad_norm: 8.1262 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0959 loss: 1.0959 2022/07/24 05:47:16 - mmengine - INFO - Epoch(train) [71][2500/3757] lr: 1.0000e-03 eta: 20:26:29 time: 0.6872 data_time: 0.0239 memory: 17350 grad_norm: 8.2064 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3799 loss: 1.3799 2022/07/24 05:47:30 - mmengine - INFO - Epoch(train) [71][2520/3757] lr: 1.0000e-03 eta: 20:26:16 time: 0.6747 data_time: 0.0215 memory: 17350 grad_norm: 7.7778 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3431 loss: 1.3431 2022/07/24 05:47:44 - mmengine - INFO - Epoch(train) [71][2540/3757] lr: 1.0000e-03 eta: 20:26:03 time: 0.7099 data_time: 0.0228 memory: 17350 grad_norm: 8.0547 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2873 loss: 1.2873 2022/07/24 05:47:57 - mmengine - INFO - Epoch(train) [71][2560/3757] lr: 1.0000e-03 eta: 20:25:49 time: 0.6720 data_time: 0.0225 memory: 17350 grad_norm: 7.9927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1157 loss: 1.1157 2022/07/24 05:48:10 - mmengine - INFO - Epoch(train) [71][2580/3757] lr: 1.0000e-03 eta: 20:25:36 time: 0.6277 data_time: 0.0249 memory: 17350 grad_norm: 8.0261 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3474 loss: 1.3474 2022/07/24 05:48:24 - mmengine - INFO - Epoch(train) [71][2600/3757] lr: 1.0000e-03 eta: 20:25:22 time: 0.6928 data_time: 0.0218 memory: 17350 grad_norm: 7.9280 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2488 loss: 1.2488 2022/07/24 05:48:36 - mmengine - INFO - Epoch(train) [71][2620/3757] lr: 1.0000e-03 eta: 20:25:09 time: 0.6247 data_time: 0.0235 memory: 17350 grad_norm: 7.9811 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1067 loss: 1.1067 2022/07/24 05:48:50 - mmengine - INFO - Epoch(train) [71][2640/3757] lr: 1.0000e-03 eta: 20:24:56 time: 0.6943 data_time: 0.0211 memory: 17350 grad_norm: 8.1277 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2833 loss: 1.2833 2022/07/24 05:49:03 - mmengine - INFO - Epoch(train) [71][2660/3757] lr: 1.0000e-03 eta: 20:24:42 time: 0.6512 data_time: 0.0244 memory: 17350 grad_norm: 8.3484 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1987 loss: 1.1987 2022/07/24 05:49:16 - mmengine - INFO - Epoch(train) [71][2680/3757] lr: 1.0000e-03 eta: 20:24:29 time: 0.6510 data_time: 0.0224 memory: 17350 grad_norm: 7.9300 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2393 loss: 1.2393 2022/07/24 05:49:30 - mmengine - INFO - Epoch(train) [71][2700/3757] lr: 1.0000e-03 eta: 20:24:15 time: 0.6849 data_time: 0.0209 memory: 17350 grad_norm: 7.8312 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3826 loss: 1.3826 2022/07/24 05:49:42 - mmengine - INFO - Epoch(train) [71][2720/3757] lr: 1.0000e-03 eta: 20:24:01 time: 0.6073 data_time: 0.0219 memory: 17350 grad_norm: 7.6826 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9669 loss: 0.9669 2022/07/24 05:49:57 - mmengine - INFO - Epoch(train) [71][2740/3757] lr: 1.0000e-03 eta: 20:23:49 time: 0.7207 data_time: 0.0218 memory: 17350 grad_norm: 8.1128 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9705 loss: 0.9705 2022/07/24 05:50:09 - mmengine - INFO - Epoch(train) [71][2760/3757] lr: 1.0000e-03 eta: 20:23:35 time: 0.6019 data_time: 0.0235 memory: 17350 grad_norm: 8.1867 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0272 loss: 1.0272 2022/07/24 05:50:23 - mmengine - INFO - Epoch(train) [71][2780/3757] lr: 1.0000e-03 eta: 20:23:22 time: 0.7244 data_time: 0.0221 memory: 17350 grad_norm: 7.9595 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2299 loss: 1.2299 2022/07/24 05:50:36 - mmengine - INFO - Epoch(train) [71][2800/3757] lr: 1.0000e-03 eta: 20:23:08 time: 0.6194 data_time: 0.0230 memory: 17350 grad_norm: 7.8672 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0765 loss: 1.0765 2022/07/24 05:50:50 - mmengine - INFO - Epoch(train) [71][2820/3757] lr: 1.0000e-03 eta: 20:22:55 time: 0.7036 data_time: 0.0205 memory: 17350 grad_norm: 8.0691 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1634 loss: 1.1634 2022/07/24 05:51:02 - mmengine - INFO - Epoch(train) [71][2840/3757] lr: 1.0000e-03 eta: 20:22:41 time: 0.6056 data_time: 0.0265 memory: 17350 grad_norm: 8.2170 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.1349 loss: 1.1349 2022/07/24 05:51:16 - mmengine - INFO - Epoch(train) [71][2860/3757] lr: 1.0000e-03 eta: 20:22:28 time: 0.7291 data_time: 0.0215 memory: 17350 grad_norm: 7.6918 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9009 loss: 0.9009 2022/07/24 05:51:28 - mmengine - INFO - Epoch(train) [71][2880/3757] lr: 1.0000e-03 eta: 20:22:14 time: 0.5906 data_time: 0.0234 memory: 17350 grad_norm: 7.8850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4217 loss: 1.4217 2022/07/24 05:51:43 - mmengine - INFO - Epoch(train) [71][2900/3757] lr: 1.0000e-03 eta: 20:22:01 time: 0.7104 data_time: 0.0216 memory: 17350 grad_norm: 7.9779 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2829 loss: 1.2829 2022/07/24 05:51:55 - mmengine - INFO - Epoch(train) [71][2920/3757] lr: 1.0000e-03 eta: 20:21:48 time: 0.6254 data_time: 0.0273 memory: 17350 grad_norm: 7.6913 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1456 loss: 1.1456 2022/07/24 05:52:09 - mmengine - INFO - Epoch(train) [71][2940/3757] lr: 1.0000e-03 eta: 20:21:34 time: 0.6995 data_time: 0.0214 memory: 17350 grad_norm: 8.3906 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2141 loss: 1.2141 2022/07/24 05:52:21 - mmengine - INFO - Epoch(train) [71][2960/3757] lr: 1.0000e-03 eta: 20:21:20 time: 0.5899 data_time: 0.0212 memory: 17350 grad_norm: 8.2226 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2960 loss: 1.2960 2022/07/24 05:52:35 - mmengine - INFO - Epoch(train) [71][2980/3757] lr: 1.0000e-03 eta: 20:21:08 time: 0.7166 data_time: 0.0221 memory: 17350 grad_norm: 7.7242 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0591 loss: 1.0591 2022/07/24 05:52:47 - mmengine - INFO - Epoch(train) [71][3000/3757] lr: 1.0000e-03 eta: 20:20:54 time: 0.6076 data_time: 0.0240 memory: 17350 grad_norm: 7.8224 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2083 loss: 1.2083 2022/07/24 05:52:55 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 05:53:01 - mmengine - INFO - Epoch(train) [71][3020/3757] lr: 1.0000e-03 eta: 20:20:41 time: 0.6932 data_time: 0.0291 memory: 17350 grad_norm: 8.0751 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0297 loss: 1.0297 2022/07/24 05:53:14 - mmengine - INFO - Epoch(train) [71][3040/3757] lr: 1.0000e-03 eta: 20:20:27 time: 0.6329 data_time: 0.0356 memory: 17350 grad_norm: 7.8385 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0286 loss: 1.0286 2022/07/24 05:53:28 - mmengine - INFO - Epoch(train) [71][3060/3757] lr: 1.0000e-03 eta: 20:20:14 time: 0.7146 data_time: 0.0436 memory: 17350 grad_norm: 8.0717 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1387 loss: 1.1387 2022/07/24 05:53:42 - mmengine - INFO - Epoch(train) [71][3080/3757] lr: 1.0000e-03 eta: 20:20:01 time: 0.6640 data_time: 0.0712 memory: 17350 grad_norm: 8.0504 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1334 loss: 1.1334 2022/07/24 05:53:55 - mmengine - INFO - Epoch(train) [71][3100/3757] lr: 1.0000e-03 eta: 20:19:47 time: 0.6819 data_time: 0.0711 memory: 17350 grad_norm: 8.1402 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0655 loss: 1.0655 2022/07/24 05:54:08 - mmengine - INFO - Epoch(train) [71][3120/3757] lr: 1.0000e-03 eta: 20:19:34 time: 0.6637 data_time: 0.0442 memory: 17350 grad_norm: 7.9080 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9748 loss: 0.9748 2022/07/24 05:54:22 - mmengine - INFO - Epoch(train) [71][3140/3757] lr: 1.0000e-03 eta: 20:19:21 time: 0.6774 data_time: 0.0512 memory: 17350 grad_norm: 7.8680 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1856 loss: 1.1856 2022/07/24 05:54:35 - mmengine - INFO - Epoch(train) [71][3160/3757] lr: 1.0000e-03 eta: 20:19:07 time: 0.6683 data_time: 0.0299 memory: 17350 grad_norm: 8.1252 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4455 loss: 1.4455 2022/07/24 05:54:49 - mmengine - INFO - Epoch(train) [71][3180/3757] lr: 1.0000e-03 eta: 20:18:54 time: 0.6990 data_time: 0.0245 memory: 17350 grad_norm: 7.9271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0084 loss: 1.0084 2022/07/24 05:55:02 - mmengine - INFO - Epoch(train) [71][3200/3757] lr: 1.0000e-03 eta: 20:18:41 time: 0.6301 data_time: 0.0748 memory: 17350 grad_norm: 8.5910 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1827 loss: 1.1827 2022/07/24 05:55:17 - mmengine - INFO - Epoch(train) [71][3220/3757] lr: 1.0000e-03 eta: 20:18:28 time: 0.7694 data_time: 0.0944 memory: 17350 grad_norm: 8.5984 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0901 loss: 1.0901 2022/07/24 05:55:29 - mmengine - INFO - Epoch(train) [71][3240/3757] lr: 1.0000e-03 eta: 20:18:14 time: 0.5926 data_time: 0.0465 memory: 17350 grad_norm: 7.8193 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0943 loss: 1.0943 2022/07/24 05:55:44 - mmengine - INFO - Epoch(train) [71][3260/3757] lr: 1.0000e-03 eta: 20:18:01 time: 0.7261 data_time: 0.0344 memory: 17350 grad_norm: 8.1270 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1274 loss: 1.1274 2022/07/24 05:55:57 - mmengine - INFO - Epoch(train) [71][3280/3757] lr: 1.0000e-03 eta: 20:17:48 time: 0.6475 data_time: 0.0259 memory: 17350 grad_norm: 7.6448 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1468 loss: 1.1468 2022/07/24 05:56:10 - mmengine - INFO - Epoch(train) [71][3300/3757] lr: 1.0000e-03 eta: 20:17:34 time: 0.6511 data_time: 0.0217 memory: 17350 grad_norm: 7.9469 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1359 loss: 1.1359 2022/07/24 05:56:24 - mmengine - INFO - Epoch(train) [71][3320/3757] lr: 1.0000e-03 eta: 20:17:21 time: 0.7221 data_time: 0.0221 memory: 17350 grad_norm: 8.2139 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1692 loss: 1.1692 2022/07/24 05:56:36 - mmengine - INFO - Epoch(train) [71][3340/3757] lr: 1.0000e-03 eta: 20:17:07 time: 0.5937 data_time: 0.0240 memory: 17350 grad_norm: 7.8024 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0291 loss: 1.0291 2022/07/24 05:56:50 - mmengine - INFO - Epoch(train) [71][3360/3757] lr: 1.0000e-03 eta: 20:16:54 time: 0.6788 data_time: 0.0224 memory: 17350 grad_norm: 8.2554 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2375 loss: 1.2375 2022/07/24 05:57:03 - mmengine - INFO - Epoch(train) [71][3380/3757] lr: 1.0000e-03 eta: 20:16:40 time: 0.6430 data_time: 0.0222 memory: 17350 grad_norm: 8.0765 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0428 loss: 1.0428 2022/07/24 05:57:17 - mmengine - INFO - Epoch(train) [71][3400/3757] lr: 1.0000e-03 eta: 20:16:27 time: 0.6935 data_time: 0.0218 memory: 17350 grad_norm: 7.9353 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3418 loss: 1.3418 2022/07/24 05:57:29 - mmengine - INFO - Epoch(train) [71][3420/3757] lr: 1.0000e-03 eta: 20:16:14 time: 0.6132 data_time: 0.0242 memory: 17350 grad_norm: 7.9690 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2398 loss: 1.2398 2022/07/24 05:57:44 - mmengine - INFO - Epoch(train) [71][3440/3757] lr: 1.0000e-03 eta: 20:16:01 time: 0.7535 data_time: 0.0210 memory: 17350 grad_norm: 8.1928 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3083 loss: 1.3083 2022/07/24 05:57:56 - mmengine - INFO - Epoch(train) [71][3460/3757] lr: 1.0000e-03 eta: 20:15:47 time: 0.5990 data_time: 0.0216 memory: 17350 grad_norm: 7.9712 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3440 loss: 1.3440 2022/07/24 05:58:10 - mmengine - INFO - Epoch(train) [71][3480/3757] lr: 1.0000e-03 eta: 20:15:34 time: 0.7043 data_time: 0.0131 memory: 17350 grad_norm: 7.9454 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2355 loss: 1.2355 2022/07/24 05:58:23 - mmengine - INFO - Epoch(train) [71][3500/3757] lr: 1.0000e-03 eta: 20:15:20 time: 0.6237 data_time: 0.0236 memory: 17350 grad_norm: 8.2622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0269 loss: 1.0269 2022/07/24 05:58:38 - mmengine - INFO - Epoch(train) [71][3520/3757] lr: 1.0000e-03 eta: 20:15:08 time: 0.7513 data_time: 0.0244 memory: 17350 grad_norm: 7.9252 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9921 loss: 0.9921 2022/07/24 05:58:49 - mmengine - INFO - Epoch(train) [71][3540/3757] lr: 1.0000e-03 eta: 20:14:53 time: 0.5624 data_time: 0.0239 memory: 17350 grad_norm: 7.8750 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0141 loss: 1.0141 2022/07/24 05:59:03 - mmengine - INFO - Epoch(train) [71][3560/3757] lr: 1.0000e-03 eta: 20:14:40 time: 0.7230 data_time: 0.0237 memory: 17350 grad_norm: 8.0008 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0606 loss: 1.0606 2022/07/24 05:59:15 - mmengine - INFO - Epoch(train) [71][3580/3757] lr: 1.0000e-03 eta: 20:14:26 time: 0.5755 data_time: 0.0242 memory: 17350 grad_norm: 7.8314 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0208 loss: 1.0208 2022/07/24 05:59:29 - mmengine - INFO - Epoch(train) [71][3600/3757] lr: 1.0000e-03 eta: 20:14:13 time: 0.7105 data_time: 0.0232 memory: 17350 grad_norm: 7.9540 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2086 loss: 1.2086 2022/07/24 05:59:41 - mmengine - INFO - Epoch(train) [71][3620/3757] lr: 1.0000e-03 eta: 20:14:00 time: 0.6189 data_time: 0.0234 memory: 17350 grad_norm: 7.6769 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1742 loss: 1.1742 2022/07/24 05:59:56 - mmengine - INFO - Epoch(train) [71][3640/3757] lr: 1.0000e-03 eta: 20:13:47 time: 0.7299 data_time: 0.0215 memory: 17350 grad_norm: 8.4250 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1319 loss: 1.1319 2022/07/24 06:00:08 - mmengine - INFO - Epoch(train) [71][3660/3757] lr: 1.0000e-03 eta: 20:13:33 time: 0.6061 data_time: 0.0291 memory: 17350 grad_norm: 8.0846 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1960 loss: 1.1960 2022/07/24 06:00:23 - mmengine - INFO - Epoch(train) [71][3680/3757] lr: 1.0000e-03 eta: 20:13:20 time: 0.7275 data_time: 0.0221 memory: 17350 grad_norm: 8.1874 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2020 loss: 1.2020 2022/07/24 06:00:35 - mmengine - INFO - Epoch(train) [71][3700/3757] lr: 1.0000e-03 eta: 20:13:06 time: 0.5950 data_time: 0.0275 memory: 17350 grad_norm: 8.1127 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1627 loss: 1.1627 2022/07/24 06:00:50 - mmengine - INFO - Epoch(train) [71][3720/3757] lr: 1.0000e-03 eta: 20:12:53 time: 0.7550 data_time: 0.0244 memory: 17350 grad_norm: 7.6944 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9173 loss: 0.9173 2022/07/24 06:01:01 - mmengine - INFO - Epoch(train) [71][3740/3757] lr: 1.0000e-03 eta: 20:12:39 time: 0.5748 data_time: 0.0216 memory: 17350 grad_norm: 8.1076 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3042 loss: 1.3042 2022/07/24 06:01:10 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 06:01:10 - mmengine - INFO - Epoch(train) [71][3757/3757] lr: 1.0000e-03 eta: 20:12:39 time: 0.4825 data_time: 0.0231 memory: 17350 grad_norm: 7.9652 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.1801 loss: 1.1801 2022/07/24 06:01:26 - mmengine - INFO - Epoch(val) [71][20/310] eta: 0:03:59 time: 0.8265 data_time: 0.7131 memory: 3406 2022/07/24 06:01:38 - mmengine - INFO - Epoch(val) [71][40/310] eta: 0:02:30 time: 0.5580 data_time: 0.4447 memory: 3406 2022/07/24 06:01:52 - mmengine - INFO - Epoch(val) [71][60/310] eta: 0:03:01 time: 0.7266 data_time: 0.6141 memory: 3406 2022/07/24 06:02:04 - mmengine - INFO - Epoch(val) [71][80/310] eta: 0:02:21 time: 0.6140 data_time: 0.5023 memory: 3406 2022/07/24 06:02:19 - mmengine - INFO - Epoch(val) [71][100/310] eta: 0:02:30 time: 0.7147 data_time: 0.5998 memory: 3406 2022/07/24 06:02:31 - mmengine - INFO - Epoch(val) [71][120/310] eta: 0:01:53 time: 0.5962 data_time: 0.4801 memory: 3406 2022/07/24 06:02:46 - mmengine - INFO - Epoch(val) [71][140/310] eta: 0:02:06 time: 0.7415 data_time: 0.6280 memory: 3406 2022/07/24 06:02:58 - mmengine - INFO - Epoch(val) [71][160/310] eta: 0:01:31 time: 0.6112 data_time: 0.4980 memory: 3406 2022/07/24 06:03:12 - mmengine - INFO - Epoch(val) [71][180/310] eta: 0:01:33 time: 0.7208 data_time: 0.6073 memory: 3406 2022/07/24 06:03:24 - mmengine - INFO - Epoch(val) [71][200/310] eta: 0:01:04 time: 0.5844 data_time: 0.4718 memory: 3406 2022/07/24 06:03:39 - mmengine - INFO - Epoch(val) [71][220/310] eta: 0:01:07 time: 0.7526 data_time: 0.6367 memory: 3406 2022/07/24 06:03:51 - mmengine - INFO - Epoch(val) [71][240/310] eta: 0:00:41 time: 0.5981 data_time: 0.4841 memory: 3406 2022/07/24 06:04:05 - mmengine - INFO - Epoch(val) [71][260/310] eta: 0:00:34 time: 0.6980 data_time: 0.5845 memory: 3406 2022/07/24 06:04:17 - mmengine - INFO - Epoch(val) [71][280/310] eta: 0:00:18 time: 0.6166 data_time: 0.5035 memory: 3406 2022/07/24 06:04:31 - mmengine - INFO - Epoch(val) [71][300/310] eta: 0:00:06 time: 0.6973 data_time: 0.5842 memory: 3406 2022/07/24 06:04:36 - mmengine - INFO - Epoch(val) [71][310/310] acc/top1: 0.6813 acc/top5: 0.8738 acc/mean1: 0.6812 2022/07/24 06:04:54 - mmengine - INFO - Epoch(train) [72][20/3757] lr: 1.0000e-03 eta: 20:12:12 time: 0.8841 data_time: 0.4036 memory: 17350 grad_norm: 7.9140 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0581 loss: 1.0581 2022/07/24 06:05:07 - mmengine - INFO - Epoch(train) [72][40/3757] lr: 1.0000e-03 eta: 20:11:58 time: 0.6279 data_time: 0.1048 memory: 17350 grad_norm: 7.8827 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4187 loss: 1.4187 2022/07/24 06:05:22 - mmengine - INFO - Epoch(train) [72][60/3757] lr: 1.0000e-03 eta: 20:11:45 time: 0.7666 data_time: 0.0412 memory: 17350 grad_norm: 7.6329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0443 loss: 1.0443 2022/07/24 06:05:33 - mmengine - INFO - Epoch(train) [72][80/3757] lr: 1.0000e-03 eta: 20:11:31 time: 0.5629 data_time: 0.0356 memory: 17350 grad_norm: 7.8469 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9786 loss: 0.9786 2022/07/24 06:05:49 - mmengine - INFO - Epoch(train) [72][100/3757] lr: 1.0000e-03 eta: 20:11:19 time: 0.7911 data_time: 0.0551 memory: 17350 grad_norm: 7.6467 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0147 loss: 1.0147 2022/07/24 06:06:01 - mmengine - INFO - Epoch(train) [72][120/3757] lr: 1.0000e-03 eta: 20:11:05 time: 0.5933 data_time: 0.0407 memory: 17350 grad_norm: 7.8937 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2941 loss: 1.2941 2022/07/24 06:06:16 - mmengine - INFO - Epoch(train) [72][140/3757] lr: 1.0000e-03 eta: 20:10:52 time: 0.7324 data_time: 0.0297 memory: 17350 grad_norm: 8.2029 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1739 loss: 1.1739 2022/07/24 06:06:28 - mmengine - INFO - Epoch(train) [72][160/3757] lr: 1.0000e-03 eta: 20:10:38 time: 0.5846 data_time: 0.0238 memory: 17350 grad_norm: 8.0064 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9862 loss: 0.9862 2022/07/24 06:06:42 - mmengine - INFO - Epoch(train) [72][180/3757] lr: 1.0000e-03 eta: 20:10:25 time: 0.7406 data_time: 0.0275 memory: 17350 grad_norm: 8.1277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2371 loss: 1.2371 2022/07/24 06:06:55 - mmengine - INFO - Epoch(train) [72][200/3757] lr: 1.0000e-03 eta: 20:10:12 time: 0.6335 data_time: 0.0227 memory: 17350 grad_norm: 7.8858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8435 loss: 0.8435 2022/07/24 06:07:09 - mmengine - INFO - Epoch(train) [72][220/3757] lr: 1.0000e-03 eta: 20:09:59 time: 0.7120 data_time: 0.0234 memory: 17350 grad_norm: 7.9464 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0340 loss: 1.0340 2022/07/24 06:07:21 - mmengine - INFO - Epoch(train) [72][240/3757] lr: 1.0000e-03 eta: 20:09:45 time: 0.5912 data_time: 0.0225 memory: 17350 grad_norm: 8.0183 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2507 loss: 1.2507 2022/07/24 06:07:31 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 06:07:36 - mmengine - INFO - Epoch(train) [72][260/3757] lr: 1.0000e-03 eta: 20:09:32 time: 0.7576 data_time: 0.0595 memory: 17350 grad_norm: 8.0355 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0855 loss: 1.0855 2022/07/24 06:07:49 - mmengine - INFO - Epoch(train) [72][280/3757] lr: 1.0000e-03 eta: 20:09:18 time: 0.6180 data_time: 0.0659 memory: 17350 grad_norm: 8.3146 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.2441 loss: 1.2441 2022/07/24 06:08:03 - mmengine - INFO - Epoch(train) [72][300/3757] lr: 1.0000e-03 eta: 20:09:05 time: 0.7250 data_time: 0.0798 memory: 17350 grad_norm: 8.1016 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0480 loss: 1.0480 2022/07/24 06:08:16 - mmengine - INFO - Epoch(train) [72][320/3757] lr: 1.0000e-03 eta: 20:08:52 time: 0.6193 data_time: 0.0579 memory: 17350 grad_norm: 7.9655 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0689 loss: 1.0689 2022/07/24 06:08:30 - mmengine - INFO - Epoch(train) [72][340/3757] lr: 1.0000e-03 eta: 20:08:39 time: 0.7269 data_time: 0.0385 memory: 17350 grad_norm: 8.1719 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1136 loss: 1.1136 2022/07/24 06:08:42 - mmengine - INFO - Epoch(train) [72][360/3757] lr: 1.0000e-03 eta: 20:08:25 time: 0.6018 data_time: 0.0300 memory: 17350 grad_norm: 8.0464 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0606 loss: 1.0606 2022/07/24 06:08:56 - mmengine - INFO - Epoch(train) [72][380/3757] lr: 1.0000e-03 eta: 20:08:12 time: 0.7138 data_time: 0.0464 memory: 17350 grad_norm: 7.7551 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0744 loss: 1.0744 2022/07/24 06:09:08 - mmengine - INFO - Epoch(train) [72][400/3757] lr: 1.0000e-03 eta: 20:07:58 time: 0.5925 data_time: 0.0739 memory: 17350 grad_norm: 8.0429 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0090 loss: 1.0090 2022/07/24 06:09:22 - mmengine - INFO - Epoch(train) [72][420/3757] lr: 1.0000e-03 eta: 20:07:45 time: 0.6983 data_time: 0.1770 memory: 17350 grad_norm: 8.5196 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2394 loss: 1.2394 2022/07/24 06:09:36 - mmengine - INFO - Epoch(train) [72][440/3757] lr: 1.0000e-03 eta: 20:07:31 time: 0.6602 data_time: 0.0606 memory: 17350 grad_norm: 7.8678 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0101 loss: 1.0101 2022/07/24 06:09:48 - mmengine - INFO - Epoch(train) [72][460/3757] lr: 1.0000e-03 eta: 20:07:18 time: 0.6335 data_time: 0.0219 memory: 17350 grad_norm: 7.9706 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2095 loss: 1.2095 2022/07/24 06:10:01 - mmengine - INFO - Epoch(train) [72][480/3757] lr: 1.0000e-03 eta: 20:07:04 time: 0.6575 data_time: 0.0213 memory: 17350 grad_norm: 8.0827 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1422 loss: 1.1422 2022/07/24 06:10:15 - mmengine - INFO - Epoch(train) [72][500/3757] lr: 1.0000e-03 eta: 20:06:51 time: 0.7030 data_time: 0.0273 memory: 17350 grad_norm: 7.7069 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2011 loss: 1.2011 2022/07/24 06:10:29 - mmengine - INFO - Epoch(train) [72][520/3757] lr: 1.0000e-03 eta: 20:06:38 time: 0.6902 data_time: 0.0251 memory: 17350 grad_norm: 8.1003 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0419 loss: 1.0419 2022/07/24 06:10:43 - mmengine - INFO - Epoch(train) [72][540/3757] lr: 1.0000e-03 eta: 20:06:25 time: 0.6748 data_time: 0.0230 memory: 17350 grad_norm: 8.0219 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2053 loss: 1.2053 2022/07/24 06:10:55 - mmengine - INFO - Epoch(train) [72][560/3757] lr: 1.0000e-03 eta: 20:06:11 time: 0.6229 data_time: 0.0221 memory: 17350 grad_norm: 8.2095 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0625 loss: 1.0625 2022/07/24 06:11:09 - mmengine - INFO - Epoch(train) [72][580/3757] lr: 1.0000e-03 eta: 20:05:58 time: 0.6992 data_time: 0.1146 memory: 17350 grad_norm: 7.9935 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0668 loss: 1.0668 2022/07/24 06:11:22 - mmengine - INFO - Epoch(train) [72][600/3757] lr: 1.0000e-03 eta: 20:05:44 time: 0.6247 data_time: 0.0985 memory: 17350 grad_norm: 7.9271 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1377 loss: 1.1377 2022/07/24 06:11:36 - mmengine - INFO - Epoch(train) [72][620/3757] lr: 1.0000e-03 eta: 20:05:31 time: 0.7210 data_time: 0.1452 memory: 17350 grad_norm: 7.7177 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0816 loss: 1.0816 2022/07/24 06:11:48 - mmengine - INFO - Epoch(train) [72][640/3757] lr: 1.0000e-03 eta: 20:05:18 time: 0.5946 data_time: 0.1289 memory: 17350 grad_norm: 7.8438 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0256 loss: 1.0256 2022/07/24 06:12:03 - mmengine - INFO - Epoch(train) [72][660/3757] lr: 1.0000e-03 eta: 20:05:05 time: 0.7488 data_time: 0.1400 memory: 17350 grad_norm: 8.1924 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1490 loss: 1.1490 2022/07/24 06:12:15 - mmengine - INFO - Epoch(train) [72][680/3757] lr: 1.0000e-03 eta: 20:04:51 time: 0.6012 data_time: 0.0635 memory: 17350 grad_norm: 7.5955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1331 loss: 1.1331 2022/07/24 06:12:30 - mmengine - INFO - Epoch(train) [72][700/3757] lr: 1.0000e-03 eta: 20:04:38 time: 0.7569 data_time: 0.0862 memory: 17350 grad_norm: 7.8375 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1660 loss: 1.1660 2022/07/24 06:12:42 - mmengine - INFO - Epoch(train) [72][720/3757] lr: 1.0000e-03 eta: 20:04:24 time: 0.6063 data_time: 0.0775 memory: 17350 grad_norm: 8.0650 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0178 loss: 1.0178 2022/07/24 06:12:57 - mmengine - INFO - Epoch(train) [72][740/3757] lr: 1.0000e-03 eta: 20:04:11 time: 0.7041 data_time: 0.0232 memory: 17350 grad_norm: 8.4320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0837 loss: 1.0837 2022/07/24 06:13:09 - mmengine - INFO - Epoch(train) [72][760/3757] lr: 1.0000e-03 eta: 20:03:58 time: 0.6166 data_time: 0.0701 memory: 17350 grad_norm: 7.8605 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0787 loss: 1.0787 2022/07/24 06:13:24 - mmengine - INFO - Epoch(train) [72][780/3757] lr: 1.0000e-03 eta: 20:03:45 time: 0.7386 data_time: 0.0558 memory: 17350 grad_norm: 7.9384 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0266 loss: 1.0266 2022/07/24 06:13:37 - mmengine - INFO - Epoch(train) [72][800/3757] lr: 1.0000e-03 eta: 20:03:31 time: 0.6412 data_time: 0.0227 memory: 17350 grad_norm: 7.9555 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2453 loss: 1.2453 2022/07/24 06:13:50 - mmengine - INFO - Epoch(train) [72][820/3757] lr: 1.0000e-03 eta: 20:03:18 time: 0.6850 data_time: 0.0240 memory: 17350 grad_norm: 8.2813 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0632 loss: 1.0632 2022/07/24 06:14:03 - mmengine - INFO - Epoch(train) [72][840/3757] lr: 1.0000e-03 eta: 20:03:04 time: 0.6383 data_time: 0.0232 memory: 17350 grad_norm: 8.2996 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9887 loss: 0.9887 2022/07/24 06:14:17 - mmengine - INFO - Epoch(train) [72][860/3757] lr: 1.0000e-03 eta: 20:02:51 time: 0.6856 data_time: 0.0225 memory: 17350 grad_norm: 7.8955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1271 loss: 1.1271 2022/07/24 06:14:30 - mmengine - INFO - Epoch(train) [72][880/3757] lr: 1.0000e-03 eta: 20:02:38 time: 0.6718 data_time: 0.0317 memory: 17350 grad_norm: 8.3117 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0111 loss: 1.0111 2022/07/24 06:14:44 - mmengine - INFO - Epoch(train) [72][900/3757] lr: 1.0000e-03 eta: 20:02:25 time: 0.6890 data_time: 0.0456 memory: 17350 grad_norm: 8.0724 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3181 loss: 1.3181 2022/07/24 06:14:56 - mmengine - INFO - Epoch(train) [72][920/3757] lr: 1.0000e-03 eta: 20:02:11 time: 0.6073 data_time: 0.0363 memory: 17350 grad_norm: 7.8089 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0182 loss: 1.0182 2022/07/24 06:15:12 - mmengine - INFO - Epoch(train) [72][940/3757] lr: 1.0000e-03 eta: 20:01:58 time: 0.7756 data_time: 0.0721 memory: 17350 grad_norm: 7.6292 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0774 loss: 1.0774 2022/07/24 06:15:24 - mmengine - INFO - Epoch(train) [72][960/3757] lr: 1.0000e-03 eta: 20:01:45 time: 0.6166 data_time: 0.0252 memory: 17350 grad_norm: 7.7488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1665 loss: 1.1665 2022/07/24 06:15:39 - mmengine - INFO - Epoch(train) [72][980/3757] lr: 1.0000e-03 eta: 20:01:32 time: 0.7222 data_time: 0.0434 memory: 17350 grad_norm: 8.1680 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9874 loss: 0.9874 2022/07/24 06:15:51 - mmengine - INFO - Epoch(train) [72][1000/3757] lr: 1.0000e-03 eta: 20:01:18 time: 0.6052 data_time: 0.0512 memory: 17350 grad_norm: 7.8868 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1569 loss: 1.1569 2022/07/24 06:16:05 - mmengine - INFO - Epoch(train) [72][1020/3757] lr: 1.0000e-03 eta: 20:01:05 time: 0.7397 data_time: 0.0994 memory: 17350 grad_norm: 8.1058 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0063 loss: 1.0063 2022/07/24 06:16:17 - mmengine - INFO - Epoch(train) [72][1040/3757] lr: 1.0000e-03 eta: 20:00:51 time: 0.6013 data_time: 0.0887 memory: 17350 grad_norm: 7.8770 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2849 loss: 1.2849 2022/07/24 06:16:31 - mmengine - INFO - Epoch(train) [72][1060/3757] lr: 1.0000e-03 eta: 20:00:38 time: 0.6798 data_time: 0.1788 memory: 17350 grad_norm: 8.0816 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1472 loss: 1.1472 2022/07/24 06:16:45 - mmengine - INFO - Epoch(train) [72][1080/3757] lr: 1.0000e-03 eta: 20:00:25 time: 0.6797 data_time: 0.1397 memory: 17350 grad_norm: 8.1910 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2087 loss: 1.2087 2022/07/24 06:16:59 - mmengine - INFO - Epoch(train) [72][1100/3757] lr: 1.0000e-03 eta: 20:00:12 time: 0.6919 data_time: 0.0567 memory: 17350 grad_norm: 8.2520 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1085 loss: 1.1085 2022/07/24 06:17:11 - mmengine - INFO - Epoch(train) [72][1120/3757] lr: 1.0000e-03 eta: 19:59:58 time: 0.6064 data_time: 0.1017 memory: 17350 grad_norm: 7.6913 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1316 loss: 1.1316 2022/07/24 06:17:25 - mmengine - INFO - Epoch(train) [72][1140/3757] lr: 1.0000e-03 eta: 19:59:45 time: 0.7337 data_time: 0.1085 memory: 17350 grad_norm: 8.3194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2235 loss: 1.2235 2022/07/24 06:17:37 - mmengine - INFO - Epoch(train) [72][1160/3757] lr: 1.0000e-03 eta: 19:59:31 time: 0.6040 data_time: 0.0260 memory: 17350 grad_norm: 8.2230 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6424 loss: 1.6424 2022/07/24 06:17:52 - mmengine - INFO - Epoch(train) [72][1180/3757] lr: 1.0000e-03 eta: 19:59:18 time: 0.7070 data_time: 0.1101 memory: 17350 grad_norm: 7.7959 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0345 loss: 1.0345 2022/07/24 06:18:04 - mmengine - INFO - Epoch(train) [72][1200/3757] lr: 1.0000e-03 eta: 19:59:04 time: 0.6082 data_time: 0.1356 memory: 17350 grad_norm: 7.8313 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8915 loss: 0.8915 2022/07/24 06:18:18 - mmengine - INFO - Epoch(train) [72][1220/3757] lr: 1.0000e-03 eta: 19:58:51 time: 0.7251 data_time: 0.3493 memory: 17350 grad_norm: 8.1079 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1144 loss: 1.1144 2022/07/24 06:18:31 - mmengine - INFO - Epoch(train) [72][1240/3757] lr: 1.0000e-03 eta: 19:58:37 time: 0.6102 data_time: 0.2731 memory: 17350 grad_norm: 8.0274 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2832 loss: 1.2832 2022/07/24 06:18:40 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 06:18:45 - mmengine - INFO - Epoch(train) [72][1260/3757] lr: 1.0000e-03 eta: 19:58:24 time: 0.7079 data_time: 0.3712 memory: 17350 grad_norm: 7.6379 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2220 loss: 1.2220 2022/07/24 06:18:57 - mmengine - INFO - Epoch(train) [72][1280/3757] lr: 1.0000e-03 eta: 19:58:10 time: 0.5931 data_time: 0.2549 memory: 17350 grad_norm: 7.8605 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0228 loss: 1.0228 2022/07/24 06:19:11 - mmengine - INFO - Epoch(train) [72][1300/3757] lr: 1.0000e-03 eta: 19:57:57 time: 0.7073 data_time: 0.3690 memory: 17350 grad_norm: 7.8947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9494 loss: 0.9494 2022/07/24 06:19:23 - mmengine - INFO - Epoch(train) [72][1320/3757] lr: 1.0000e-03 eta: 19:57:43 time: 0.5947 data_time: 0.2505 memory: 17350 grad_norm: 7.4760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0100 loss: 1.0100 2022/07/24 06:19:37 - mmengine - INFO - Epoch(train) [72][1340/3757] lr: 1.0000e-03 eta: 19:57:30 time: 0.7071 data_time: 0.2484 memory: 17350 grad_norm: 8.0692 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0880 loss: 1.0880 2022/07/24 06:19:49 - mmengine - INFO - Epoch(train) [72][1360/3757] lr: 1.0000e-03 eta: 19:57:16 time: 0.5821 data_time: 0.2005 memory: 17350 grad_norm: 7.7609 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8557 loss: 0.8557 2022/07/24 06:20:04 - mmengine - INFO - Epoch(train) [72][1380/3757] lr: 1.0000e-03 eta: 19:57:04 time: 0.7570 data_time: 0.2697 memory: 17350 grad_norm: 7.6548 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2721 loss: 1.2721 2022/07/24 06:20:16 - mmengine - INFO - Epoch(train) [72][1400/3757] lr: 1.0000e-03 eta: 19:56:50 time: 0.6336 data_time: 0.1694 memory: 17350 grad_norm: 8.0677 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3926 loss: 1.3926 2022/07/24 06:20:30 - mmengine - INFO - Epoch(train) [72][1420/3757] lr: 1.0000e-03 eta: 19:56:37 time: 0.6807 data_time: 0.1348 memory: 17350 grad_norm: 7.7485 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0872 loss: 1.0872 2022/07/24 06:20:43 - mmengine - INFO - Epoch(train) [72][1440/3757] lr: 1.0000e-03 eta: 19:56:23 time: 0.6493 data_time: 0.0676 memory: 17350 grad_norm: 8.0853 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2241 loss: 1.2241 2022/07/24 06:20:56 - mmengine - INFO - Epoch(train) [72][1460/3757] lr: 1.0000e-03 eta: 19:56:10 time: 0.6506 data_time: 0.0258 memory: 17350 grad_norm: 8.0612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1385 loss: 1.1385 2022/07/24 06:21:09 - mmengine - INFO - Epoch(train) [72][1480/3757] lr: 1.0000e-03 eta: 19:55:56 time: 0.6593 data_time: 0.0273 memory: 17350 grad_norm: 7.9435 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9837 loss: 0.9837 2022/07/24 06:21:23 - mmengine - INFO - Epoch(train) [72][1500/3757] lr: 1.0000e-03 eta: 19:55:43 time: 0.6821 data_time: 0.0399 memory: 17350 grad_norm: 8.1512 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0679 loss: 1.0679 2022/07/24 06:21:37 - mmengine - INFO - Epoch(train) [72][1520/3757] lr: 1.0000e-03 eta: 19:55:30 time: 0.6887 data_time: 0.0309 memory: 17350 grad_norm: 8.1179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4036 loss: 1.4036 2022/07/24 06:21:50 - mmengine - INFO - Epoch(train) [72][1540/3757] lr: 1.0000e-03 eta: 19:55:17 time: 0.6722 data_time: 0.0258 memory: 17350 grad_norm: 7.6108 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 0.9904 loss: 0.9904 2022/07/24 06:22:03 - mmengine - INFO - Epoch(train) [72][1560/3757] lr: 1.0000e-03 eta: 19:55:03 time: 0.6287 data_time: 0.0205 memory: 17350 grad_norm: 7.8917 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1992 loss: 1.1992 2022/07/24 06:22:16 - mmengine - INFO - Epoch(train) [72][1580/3757] lr: 1.0000e-03 eta: 19:54:50 time: 0.6639 data_time: 0.0854 memory: 17350 grad_norm: 8.0421 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9008 loss: 0.9008 2022/07/24 06:22:29 - mmengine - INFO - Epoch(train) [72][1600/3757] lr: 1.0000e-03 eta: 19:54:36 time: 0.6369 data_time: 0.0268 memory: 17350 grad_norm: 8.1138 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1274 loss: 1.1274 2022/07/24 06:22:42 - mmengine - INFO - Epoch(train) [72][1620/3757] lr: 1.0000e-03 eta: 19:54:23 time: 0.6811 data_time: 0.0480 memory: 17350 grad_norm: 8.1689 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9815 loss: 0.9815 2022/07/24 06:22:55 - mmengine - INFO - Epoch(train) [72][1640/3757] lr: 1.0000e-03 eta: 19:54:09 time: 0.6520 data_time: 0.0224 memory: 17350 grad_norm: 8.2948 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2066 loss: 1.2066 2022/07/24 06:23:08 - mmengine - INFO - Epoch(train) [72][1660/3757] lr: 1.0000e-03 eta: 19:53:56 time: 0.6443 data_time: 0.0230 memory: 17350 grad_norm: 8.0884 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0155 loss: 1.0155 2022/07/24 06:23:23 - mmengine - INFO - Epoch(train) [72][1680/3757] lr: 1.0000e-03 eta: 19:53:43 time: 0.7218 data_time: 0.0227 memory: 17350 grad_norm: 8.1361 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2505 loss: 1.2505 2022/07/24 06:23:36 - mmengine - INFO - Epoch(train) [72][1700/3757] lr: 1.0000e-03 eta: 19:53:29 time: 0.6550 data_time: 0.0247 memory: 17350 grad_norm: 8.1582 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2992 loss: 1.2992 2022/07/24 06:23:50 - mmengine - INFO - Epoch(train) [72][1720/3757] lr: 1.0000e-03 eta: 19:53:16 time: 0.6795 data_time: 0.0228 memory: 17350 grad_norm: 7.9425 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0549 loss: 1.0549 2022/07/24 06:24:03 - mmengine - INFO - Epoch(train) [72][1740/3757] lr: 1.0000e-03 eta: 19:53:03 time: 0.6782 data_time: 0.0229 memory: 17350 grad_norm: 8.2131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9102 loss: 0.9102 2022/07/24 06:24:16 - mmengine - INFO - Epoch(train) [72][1760/3757] lr: 1.0000e-03 eta: 19:52:49 time: 0.6330 data_time: 0.0233 memory: 17350 grad_norm: 8.3567 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2584 loss: 1.2584 2022/07/24 06:24:29 - mmengine - INFO - Epoch(train) [72][1780/3757] lr: 1.0000e-03 eta: 19:52:36 time: 0.6827 data_time: 0.0231 memory: 17350 grad_norm: 7.6128 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2407 loss: 1.2407 2022/07/24 06:24:42 - mmengine - INFO - Epoch(train) [72][1800/3757] lr: 1.0000e-03 eta: 19:52:22 time: 0.6138 data_time: 0.0224 memory: 17350 grad_norm: 8.0534 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2907 loss: 1.2907 2022/07/24 06:24:56 - mmengine - INFO - Epoch(train) [72][1820/3757] lr: 1.0000e-03 eta: 19:52:09 time: 0.6980 data_time: 0.0235 memory: 17350 grad_norm: 8.2403 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0438 loss: 1.0438 2022/07/24 06:25:08 - mmengine - INFO - Epoch(train) [72][1840/3757] lr: 1.0000e-03 eta: 19:51:55 time: 0.5987 data_time: 0.0248 memory: 17350 grad_norm: 8.2390 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2492 loss: 1.2492 2022/07/24 06:25:22 - mmengine - INFO - Epoch(train) [72][1860/3757] lr: 1.0000e-03 eta: 19:51:42 time: 0.7353 data_time: 0.0336 memory: 17350 grad_norm: 8.0708 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9653 loss: 0.9653 2022/07/24 06:25:35 - mmengine - INFO - Epoch(train) [72][1880/3757] lr: 1.0000e-03 eta: 19:51:29 time: 0.6205 data_time: 0.0225 memory: 17350 grad_norm: 7.8555 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1841 loss: 1.1841 2022/07/24 06:25:49 - mmengine - INFO - Epoch(train) [72][1900/3757] lr: 1.0000e-03 eta: 19:51:16 time: 0.6998 data_time: 0.0224 memory: 17350 grad_norm: 8.0724 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2882 loss: 1.2882 2022/07/24 06:26:01 - mmengine - INFO - Epoch(train) [72][1920/3757] lr: 1.0000e-03 eta: 19:51:02 time: 0.6203 data_time: 0.0232 memory: 17350 grad_norm: 8.0274 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0900 loss: 1.0900 2022/07/24 06:26:16 - mmengine - INFO - Epoch(train) [72][1940/3757] lr: 1.0000e-03 eta: 19:50:49 time: 0.7304 data_time: 0.0276 memory: 17350 grad_norm: 7.9925 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1705 loss: 1.1705 2022/07/24 06:26:28 - mmengine - INFO - Epoch(train) [72][1960/3757] lr: 1.0000e-03 eta: 19:50:35 time: 0.5884 data_time: 0.0248 memory: 17350 grad_norm: 8.0272 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2040 loss: 1.2040 2022/07/24 06:26:43 - mmengine - INFO - Epoch(train) [72][1980/3757] lr: 1.0000e-03 eta: 19:50:22 time: 0.7446 data_time: 0.0154 memory: 17350 grad_norm: 7.9597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9896 loss: 0.9896 2022/07/24 06:26:54 - mmengine - INFO - Epoch(train) [72][2000/3757] lr: 1.0000e-03 eta: 19:50:08 time: 0.5779 data_time: 0.0339 memory: 17350 grad_norm: 8.1570 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0807 loss: 1.0807 2022/07/24 06:27:08 - mmengine - INFO - Epoch(train) [72][2020/3757] lr: 1.0000e-03 eta: 19:49:55 time: 0.6824 data_time: 0.0304 memory: 17350 grad_norm: 7.8657 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2165 loss: 1.2165 2022/07/24 06:27:20 - mmengine - INFO - Epoch(train) [72][2040/3757] lr: 1.0000e-03 eta: 19:49:41 time: 0.6247 data_time: 0.0489 memory: 17350 grad_norm: 8.1031 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0013 loss: 1.0013 2022/07/24 06:27:35 - mmengine - INFO - Epoch(train) [72][2060/3757] lr: 1.0000e-03 eta: 19:49:29 time: 0.7394 data_time: 0.0239 memory: 17350 grad_norm: 7.8655 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1035 loss: 1.1035 2022/07/24 06:27:47 - mmengine - INFO - Epoch(train) [72][2080/3757] lr: 1.0000e-03 eta: 19:49:14 time: 0.5825 data_time: 0.0355 memory: 17350 grad_norm: 8.2208 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2251 loss: 1.2251 2022/07/24 06:28:01 - mmengine - INFO - Epoch(train) [72][2100/3757] lr: 1.0000e-03 eta: 19:49:01 time: 0.7000 data_time: 0.0986 memory: 17350 grad_norm: 7.8706 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0302 loss: 1.0302 2022/07/24 06:28:15 - mmengine - INFO - Epoch(train) [72][2120/3757] lr: 1.0000e-03 eta: 19:48:48 time: 0.6878 data_time: 0.2108 memory: 17350 grad_norm: 8.0810 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4136 loss: 1.4136 2022/07/24 06:28:27 - mmengine - INFO - Epoch(train) [72][2140/3757] lr: 1.0000e-03 eta: 19:48:34 time: 0.6112 data_time: 0.2047 memory: 17350 grad_norm: 7.9971 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9954 loss: 0.9954 2022/07/24 06:28:41 - mmengine - INFO - Epoch(train) [72][2160/3757] lr: 1.0000e-03 eta: 19:48:21 time: 0.7175 data_time: 0.3546 memory: 17350 grad_norm: 8.4964 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0297 loss: 1.0297 2022/07/24 06:28:53 - mmengine - INFO - Epoch(train) [72][2180/3757] lr: 1.0000e-03 eta: 19:48:08 time: 0.6108 data_time: 0.2728 memory: 17350 grad_norm: 7.7937 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9116 loss: 0.9116 2022/07/24 06:29:09 - mmengine - INFO - Epoch(train) [72][2200/3757] lr: 1.0000e-03 eta: 19:47:55 time: 0.7538 data_time: 0.4063 memory: 17350 grad_norm: 7.4938 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0496 loss: 1.0496 2022/07/24 06:29:20 - mmengine - INFO - Epoch(train) [72][2220/3757] lr: 1.0000e-03 eta: 19:47:41 time: 0.5742 data_time: 0.2389 memory: 17350 grad_norm: 8.0755 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2042 loss: 1.2042 2022/07/24 06:29:35 - mmengine - INFO - Epoch(train) [72][2240/3757] lr: 1.0000e-03 eta: 19:47:28 time: 0.7458 data_time: 0.4118 memory: 17350 grad_norm: 7.9857 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0351 loss: 1.0351 2022/07/24 06:29:41 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 06:29:47 - mmengine - INFO - Epoch(train) [72][2260/3757] lr: 1.0000e-03 eta: 19:47:14 time: 0.5886 data_time: 0.2493 memory: 17350 grad_norm: 7.9542 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0674 loss: 1.0674 2022/07/24 06:30:01 - mmengine - INFO - Epoch(train) [72][2280/3757] lr: 1.0000e-03 eta: 19:47:01 time: 0.7146 data_time: 0.3815 memory: 17350 grad_norm: 8.4598 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2440 loss: 1.2440 2022/07/24 06:30:14 - mmengine - INFO - Epoch(train) [72][2300/3757] lr: 1.0000e-03 eta: 19:46:48 time: 0.6411 data_time: 0.3079 memory: 17350 grad_norm: 8.1586 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1368 loss: 1.1368 2022/07/24 06:30:29 - mmengine - INFO - Epoch(train) [72][2320/3757] lr: 1.0000e-03 eta: 19:46:35 time: 0.7327 data_time: 0.3905 memory: 17350 grad_norm: 7.8299 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0761 loss: 1.0761 2022/07/24 06:30:40 - mmengine - INFO - Epoch(train) [72][2340/3757] lr: 1.0000e-03 eta: 19:46:21 time: 0.5708 data_time: 0.2357 memory: 17350 grad_norm: 8.1371 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1268 loss: 1.1268 2022/07/24 06:30:55 - mmengine - INFO - Epoch(train) [72][2360/3757] lr: 1.0000e-03 eta: 19:46:08 time: 0.7255 data_time: 0.3863 memory: 17350 grad_norm: 7.8343 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9280 loss: 0.9280 2022/07/24 06:31:06 - mmengine - INFO - Epoch(train) [72][2380/3757] lr: 1.0000e-03 eta: 19:45:54 time: 0.5800 data_time: 0.2438 memory: 17350 grad_norm: 8.0210 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0478 loss: 1.0478 2022/07/24 06:31:21 - mmengine - INFO - Epoch(train) [72][2400/3757] lr: 1.0000e-03 eta: 19:45:41 time: 0.7332 data_time: 0.3707 memory: 17350 grad_norm: 8.4169 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1431 loss: 1.1431 2022/07/24 06:31:33 - mmengine - INFO - Epoch(train) [72][2420/3757] lr: 1.0000e-03 eta: 19:45:27 time: 0.6282 data_time: 0.2369 memory: 17350 grad_norm: 7.8158 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7898 loss: 0.7898 2022/07/24 06:31:47 - mmengine - INFO - Epoch(train) [72][2440/3757] lr: 1.0000e-03 eta: 19:45:14 time: 0.6847 data_time: 0.3260 memory: 17350 grad_norm: 8.0380 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0708 loss: 1.0708 2022/07/24 06:31:59 - mmengine - INFO - Epoch(train) [72][2460/3757] lr: 1.0000e-03 eta: 19:45:00 time: 0.6090 data_time: 0.2719 memory: 17350 grad_norm: 8.4798 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1438 loss: 1.1438 2022/07/24 06:32:14 - mmengine - INFO - Epoch(train) [72][2480/3757] lr: 1.0000e-03 eta: 19:44:47 time: 0.7428 data_time: 0.4080 memory: 17350 grad_norm: 8.0774 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1634 loss: 1.1634 2022/07/24 06:32:26 - mmengine - INFO - Epoch(train) [72][2500/3757] lr: 1.0000e-03 eta: 19:44:34 time: 0.6060 data_time: 0.2711 memory: 17350 grad_norm: 8.0147 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1161 loss: 1.1161 2022/07/24 06:32:41 - mmengine - INFO - Epoch(train) [72][2520/3757] lr: 1.0000e-03 eta: 19:44:21 time: 0.7236 data_time: 0.3745 memory: 17350 grad_norm: 8.1849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0752 loss: 1.0752 2022/07/24 06:32:53 - mmengine - INFO - Epoch(train) [72][2540/3757] lr: 1.0000e-03 eta: 19:44:07 time: 0.5832 data_time: 0.2373 memory: 17350 grad_norm: 8.0075 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1037 loss: 1.1037 2022/07/24 06:33:07 - mmengine - INFO - Epoch(train) [72][2560/3757] lr: 1.0000e-03 eta: 19:43:54 time: 0.7146 data_time: 0.3762 memory: 17350 grad_norm: 8.0363 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9677 loss: 0.9677 2022/07/24 06:33:19 - mmengine - INFO - Epoch(train) [72][2580/3757] lr: 1.0000e-03 eta: 19:43:40 time: 0.6215 data_time: 0.2723 memory: 17350 grad_norm: 8.0966 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0316 loss: 1.0316 2022/07/24 06:33:33 - mmengine - INFO - Epoch(train) [72][2600/3757] lr: 1.0000e-03 eta: 19:43:27 time: 0.6884 data_time: 0.3535 memory: 17350 grad_norm: 8.1358 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5111 loss: 1.5111 2022/07/24 06:33:45 - mmengine - INFO - Epoch(train) [72][2620/3757] lr: 1.0000e-03 eta: 19:43:13 time: 0.6136 data_time: 0.2757 memory: 17350 grad_norm: 8.2683 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9788 loss: 0.9788 2022/07/24 06:33:59 - mmengine - INFO - Epoch(train) [72][2640/3757] lr: 1.0000e-03 eta: 19:43:00 time: 0.6921 data_time: 0.3580 memory: 17350 grad_norm: 8.0072 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0357 loss: 1.0357 2022/07/24 06:34:12 - mmengine - INFO - Epoch(train) [72][2660/3757] lr: 1.0000e-03 eta: 19:42:46 time: 0.6423 data_time: 0.2183 memory: 17350 grad_norm: 7.6137 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0425 loss: 1.0425 2022/07/24 06:34:25 - mmengine - INFO - Epoch(train) [72][2680/3757] lr: 1.0000e-03 eta: 19:42:33 time: 0.6667 data_time: 0.1522 memory: 17350 grad_norm: 7.9127 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2760 loss: 1.2760 2022/07/24 06:34:38 - mmengine - INFO - Epoch(train) [72][2700/3757] lr: 1.0000e-03 eta: 19:42:19 time: 0.6511 data_time: 0.1783 memory: 17350 grad_norm: 8.3515 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1087 loss: 1.1087 2022/07/24 06:34:52 - mmengine - INFO - Epoch(train) [72][2720/3757] lr: 1.0000e-03 eta: 19:42:06 time: 0.6684 data_time: 0.2273 memory: 17350 grad_norm: 8.0684 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3569 loss: 1.3569 2022/07/24 06:35:06 - mmengine - INFO - Epoch(train) [72][2740/3757] lr: 1.0000e-03 eta: 19:41:53 time: 0.6946 data_time: 0.0592 memory: 17350 grad_norm: 8.1776 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1771 loss: 1.1771 2022/07/24 06:35:19 - mmengine - INFO - Epoch(train) [72][2760/3757] lr: 1.0000e-03 eta: 19:41:39 time: 0.6548 data_time: 0.1452 memory: 17350 grad_norm: 7.8232 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9430 loss: 0.9430 2022/07/24 06:35:31 - mmengine - INFO - Epoch(train) [72][2780/3757] lr: 1.0000e-03 eta: 19:41:26 time: 0.6239 data_time: 0.1544 memory: 17350 grad_norm: 8.2974 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1400 loss: 1.1400 2022/07/24 06:35:46 - mmengine - INFO - Epoch(train) [72][2800/3757] lr: 1.0000e-03 eta: 19:41:13 time: 0.7548 data_time: 0.2883 memory: 17350 grad_norm: 7.9181 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0605 loss: 1.0605 2022/07/24 06:35:58 - mmengine - INFO - Epoch(train) [72][2820/3757] lr: 1.0000e-03 eta: 19:40:59 time: 0.5669 data_time: 0.1872 memory: 17350 grad_norm: 8.2574 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0185 loss: 1.0185 2022/07/24 06:36:12 - mmengine - INFO - Epoch(train) [72][2840/3757] lr: 1.0000e-03 eta: 19:40:46 time: 0.7307 data_time: 0.1994 memory: 17350 grad_norm: 8.2293 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6066 loss: 1.6066 2022/07/24 06:36:24 - mmengine - INFO - Epoch(train) [72][2860/3757] lr: 1.0000e-03 eta: 19:40:32 time: 0.5824 data_time: 0.0941 memory: 17350 grad_norm: 8.1492 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2397 loss: 1.2397 2022/07/24 06:36:38 - mmengine - INFO - Epoch(train) [72][2880/3757] lr: 1.0000e-03 eta: 19:40:19 time: 0.6986 data_time: 0.1650 memory: 17350 grad_norm: 8.4570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3056 loss: 1.3056 2022/07/24 06:36:52 - mmengine - INFO - Epoch(train) [72][2900/3757] lr: 1.0000e-03 eta: 19:40:06 time: 0.6965 data_time: 0.0356 memory: 17350 grad_norm: 8.2911 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0756 loss: 1.0756 2022/07/24 06:37:04 - mmengine - INFO - Epoch(train) [72][2920/3757] lr: 1.0000e-03 eta: 19:39:52 time: 0.6094 data_time: 0.0250 memory: 17350 grad_norm: 8.2721 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8534 loss: 0.8534 2022/07/24 06:37:19 - mmengine - INFO - Epoch(train) [72][2940/3757] lr: 1.0000e-03 eta: 19:39:39 time: 0.7114 data_time: 0.0211 memory: 17350 grad_norm: 8.2895 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0562 loss: 1.0562 2022/07/24 06:37:31 - mmengine - INFO - Epoch(train) [72][2960/3757] lr: 1.0000e-03 eta: 19:39:25 time: 0.6094 data_time: 0.0288 memory: 17350 grad_norm: 8.0635 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3793 loss: 1.3793 2022/07/24 06:37:45 - mmengine - INFO - Epoch(train) [72][2980/3757] lr: 1.0000e-03 eta: 19:39:12 time: 0.6921 data_time: 0.0437 memory: 17350 grad_norm: 7.9959 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1812 loss: 1.1812 2022/07/24 06:37:57 - mmengine - INFO - Epoch(train) [72][3000/3757] lr: 1.0000e-03 eta: 19:38:59 time: 0.6449 data_time: 0.1118 memory: 17350 grad_norm: 8.0817 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2786 loss: 1.2786 2022/07/24 06:38:11 - mmengine - INFO - Epoch(train) [72][3020/3757] lr: 1.0000e-03 eta: 19:38:45 time: 0.6541 data_time: 0.0349 memory: 17350 grad_norm: 8.2745 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2074 loss: 1.2074 2022/07/24 06:38:24 - mmengine - INFO - Epoch(train) [72][3040/3757] lr: 1.0000e-03 eta: 19:38:32 time: 0.6559 data_time: 0.0584 memory: 17350 grad_norm: 7.8598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2440 loss: 1.2440 2022/07/24 06:38:37 - mmengine - INFO - Epoch(train) [72][3060/3757] lr: 1.0000e-03 eta: 19:38:18 time: 0.6772 data_time: 0.0254 memory: 17350 grad_norm: 7.9676 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3445 loss: 1.3445 2022/07/24 06:38:51 - mmengine - INFO - Epoch(train) [72][3080/3757] lr: 1.0000e-03 eta: 19:38:05 time: 0.6722 data_time: 0.0244 memory: 17350 grad_norm: 8.2113 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1034 loss: 1.1034 2022/07/24 06:39:04 - mmengine - INFO - Epoch(train) [72][3100/3757] lr: 1.0000e-03 eta: 19:37:52 time: 0.6545 data_time: 0.0226 memory: 17350 grad_norm: 8.4781 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1238 loss: 1.1238 2022/07/24 06:39:18 - mmengine - INFO - Epoch(train) [72][3120/3757] lr: 1.0000e-03 eta: 19:37:39 time: 0.7054 data_time: 0.0239 memory: 17350 grad_norm: 8.2748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1174 loss: 1.1174 2022/07/24 06:39:30 - mmengine - INFO - Epoch(train) [72][3140/3757] lr: 1.0000e-03 eta: 19:37:25 time: 0.6179 data_time: 0.0230 memory: 17350 grad_norm: 8.2126 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0088 loss: 1.0088 2022/07/24 06:39:44 - mmengine - INFO - Epoch(train) [72][3160/3757] lr: 1.0000e-03 eta: 19:37:12 time: 0.6958 data_time: 0.0232 memory: 17350 grad_norm: 7.9116 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1171 loss: 1.1171 2022/07/24 06:39:56 - mmengine - INFO - Epoch(train) [72][3180/3757] lr: 1.0000e-03 eta: 19:36:58 time: 0.5991 data_time: 0.0215 memory: 17350 grad_norm: 8.3324 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8749 loss: 0.8749 2022/07/24 06:40:12 - mmengine - INFO - Epoch(train) [72][3200/3757] lr: 1.0000e-03 eta: 19:36:45 time: 0.7630 data_time: 0.0230 memory: 17350 grad_norm: 7.9230 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0493 loss: 1.0493 2022/07/24 06:40:24 - mmengine - INFO - Epoch(train) [72][3220/3757] lr: 1.0000e-03 eta: 19:36:31 time: 0.6038 data_time: 0.0252 memory: 17350 grad_norm: 7.8119 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9424 loss: 0.9424 2022/07/24 06:40:38 - mmengine - INFO - Epoch(train) [72][3240/3757] lr: 1.0000e-03 eta: 19:36:18 time: 0.6958 data_time: 0.0224 memory: 17350 grad_norm: 8.3635 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1772 loss: 1.1772 2022/07/24 06:40:45 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 06:40:50 - mmengine - INFO - Epoch(train) [72][3260/3757] lr: 1.0000e-03 eta: 19:36:04 time: 0.6000 data_time: 0.0227 memory: 17350 grad_norm: 8.1748 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2509 loss: 1.2509 2022/07/24 06:41:04 - mmengine - INFO - Epoch(train) [72][3280/3757] lr: 1.0000e-03 eta: 19:35:51 time: 0.7278 data_time: 0.0232 memory: 17350 grad_norm: 8.2945 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0702 loss: 1.0702 2022/07/24 06:41:17 - mmengine - INFO - Epoch(train) [72][3300/3757] lr: 1.0000e-03 eta: 19:35:38 time: 0.6468 data_time: 0.0218 memory: 17350 grad_norm: 8.1314 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1984 loss: 1.1984 2022/07/24 06:41:31 - mmengine - INFO - Epoch(train) [72][3320/3757] lr: 1.0000e-03 eta: 19:35:25 time: 0.6821 data_time: 0.0231 memory: 17350 grad_norm: 8.2192 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1741 loss: 1.1741 2022/07/24 06:41:44 - mmengine - INFO - Epoch(train) [72][3340/3757] lr: 1.0000e-03 eta: 19:35:11 time: 0.6458 data_time: 0.0235 memory: 17350 grad_norm: 7.6316 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0197 loss: 1.0197 2022/07/24 06:41:58 - mmengine - INFO - Epoch(train) [72][3360/3757] lr: 1.0000e-03 eta: 19:34:58 time: 0.7108 data_time: 0.0231 memory: 17350 grad_norm: 8.0900 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2799 loss: 1.2799 2022/07/24 06:42:10 - mmengine - INFO - Epoch(train) [72][3380/3757] lr: 1.0000e-03 eta: 19:34:44 time: 0.6218 data_time: 0.0219 memory: 17350 grad_norm: 8.0168 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1452 loss: 1.1452 2022/07/24 06:42:23 - mmengine - INFO - Epoch(train) [72][3400/3757] lr: 1.0000e-03 eta: 19:34:31 time: 0.6539 data_time: 0.0238 memory: 17350 grad_norm: 7.7610 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2821 loss: 1.2821 2022/07/24 06:42:37 - mmengine - INFO - Epoch(train) [72][3420/3757] lr: 1.0000e-03 eta: 19:34:18 time: 0.6591 data_time: 0.0232 memory: 17350 grad_norm: 8.4903 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0054 loss: 1.0054 2022/07/24 06:42:51 - mmengine - INFO - Epoch(train) [72][3440/3757] lr: 1.0000e-03 eta: 19:34:04 time: 0.7074 data_time: 0.0236 memory: 17350 grad_norm: 8.4449 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3610 loss: 1.3610 2022/07/24 06:43:04 - mmengine - INFO - Epoch(train) [72][3460/3757] lr: 1.0000e-03 eta: 19:33:51 time: 0.6333 data_time: 0.0263 memory: 17350 grad_norm: 8.6046 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8753 loss: 0.8753 2022/07/24 06:43:18 - mmengine - INFO - Epoch(train) [72][3480/3757] lr: 1.0000e-03 eta: 19:33:38 time: 0.7138 data_time: 0.0253 memory: 17350 grad_norm: 8.1408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1055 loss: 1.1055 2022/07/24 06:43:30 - mmengine - INFO - Epoch(train) [72][3500/3757] lr: 1.0000e-03 eta: 19:33:24 time: 0.6167 data_time: 0.0226 memory: 17350 grad_norm: 8.0761 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1140 loss: 1.1140 2022/07/24 06:43:44 - mmengine - INFO - Epoch(train) [72][3520/3757] lr: 1.0000e-03 eta: 19:33:11 time: 0.7088 data_time: 0.0238 memory: 17350 grad_norm: 7.8751 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9049 loss: 0.9049 2022/07/24 06:43:57 - mmengine - INFO - Epoch(train) [72][3540/3757] lr: 1.0000e-03 eta: 19:32:57 time: 0.6249 data_time: 0.0225 memory: 17350 grad_norm: 8.2640 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0257 loss: 1.0257 2022/07/24 06:44:11 - mmengine - INFO - Epoch(train) [72][3560/3757] lr: 1.0000e-03 eta: 19:32:44 time: 0.6992 data_time: 0.0240 memory: 17350 grad_norm: 7.7845 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2548 loss: 1.2548 2022/07/24 06:44:23 - mmengine - INFO - Epoch(train) [72][3580/3757] lr: 1.0000e-03 eta: 19:32:31 time: 0.6165 data_time: 0.0273 memory: 17350 grad_norm: 8.1407 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0095 loss: 1.0095 2022/07/24 06:44:38 - mmengine - INFO - Epoch(train) [72][3600/3757] lr: 1.0000e-03 eta: 19:32:18 time: 0.7265 data_time: 0.0265 memory: 17350 grad_norm: 8.1673 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2709 loss: 1.2709 2022/07/24 06:44:50 - mmengine - INFO - Epoch(train) [72][3620/3757] lr: 1.0000e-03 eta: 19:32:04 time: 0.5893 data_time: 0.0199 memory: 17350 grad_norm: 8.0928 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0242 loss: 1.0242 2022/07/24 06:45:05 - mmengine - INFO - Epoch(train) [72][3640/3757] lr: 1.0000e-03 eta: 19:31:51 time: 0.7560 data_time: 0.0262 memory: 17350 grad_norm: 8.2683 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1100 loss: 1.1100 2022/07/24 06:45:17 - mmengine - INFO - Epoch(train) [72][3660/3757] lr: 1.0000e-03 eta: 19:31:37 time: 0.5938 data_time: 0.0223 memory: 17350 grad_norm: 7.9800 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0558 loss: 1.0558 2022/07/24 06:45:31 - mmengine - INFO - Epoch(train) [72][3680/3757] lr: 1.0000e-03 eta: 19:31:24 time: 0.7037 data_time: 0.0187 memory: 17350 grad_norm: 8.3872 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0751 loss: 1.0751 2022/07/24 06:45:43 - mmengine - INFO - Epoch(train) [72][3700/3757] lr: 1.0000e-03 eta: 19:31:10 time: 0.6307 data_time: 0.0243 memory: 17350 grad_norm: 8.3372 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2095 loss: 1.2095 2022/07/24 06:45:58 - mmengine - INFO - Epoch(train) [72][3720/3757] lr: 1.0000e-03 eta: 19:30:58 time: 0.7579 data_time: 0.0252 memory: 17350 grad_norm: 8.0630 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0319 loss: 1.0319 2022/07/24 06:46:10 - mmengine - INFO - Epoch(train) [72][3740/3757] lr: 1.0000e-03 eta: 19:30:44 time: 0.5707 data_time: 0.0241 memory: 17350 grad_norm: 7.7950 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2395 loss: 1.2395 2022/07/24 06:46:18 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 06:46:18 - mmengine - INFO - Epoch(train) [72][3757/3757] lr: 1.0000e-03 eta: 19:30:44 time: 0.4706 data_time: 0.0225 memory: 17350 grad_norm: 7.9366 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.0614 loss: 1.0614 2022/07/24 06:46:35 - mmengine - INFO - Epoch(val) [72][20/310] eta: 0:04:03 time: 0.8387 data_time: 0.7237 memory: 3406 2022/07/24 06:46:46 - mmengine - INFO - Epoch(val) [72][40/310] eta: 0:02:25 time: 0.5388 data_time: 0.4250 memory: 3406 2022/07/24 06:47:01 - mmengine - INFO - Epoch(val) [72][60/310] eta: 0:03:03 time: 0.7352 data_time: 0.6231 memory: 3406 2022/07/24 06:47:12 - mmengine - INFO - Epoch(val) [72][80/310] eta: 0:02:12 time: 0.5748 data_time: 0.4632 memory: 3406 2022/07/24 06:47:27 - mmengine - INFO - Epoch(val) [72][100/310] eta: 0:02:39 time: 0.7606 data_time: 0.6474 memory: 3406 2022/07/24 06:47:38 - mmengine - INFO - Epoch(val) [72][120/310] eta: 0:01:44 time: 0.5516 data_time: 0.4367 memory: 3406 2022/07/24 06:47:54 - mmengine - INFO - Epoch(val) [72][140/310] eta: 0:02:11 time: 0.7708 data_time: 0.6549 memory: 3406 2022/07/24 06:48:04 - mmengine - INFO - Epoch(val) [72][160/310] eta: 0:01:19 time: 0.5321 data_time: 0.4197 memory: 3406 2022/07/24 06:48:20 - mmengine - INFO - Epoch(val) [72][180/310] eta: 0:01:38 time: 0.7592 data_time: 0.6458 memory: 3406 2022/07/24 06:48:31 - mmengine - INFO - Epoch(val) [72][200/310] eta: 0:01:03 time: 0.5749 data_time: 0.4615 memory: 3406 2022/07/24 06:48:47 - mmengine - INFO - Epoch(val) [72][220/310] eta: 0:01:12 time: 0.8010 data_time: 0.6827 memory: 3406 2022/07/24 06:48:58 - mmengine - INFO - Epoch(val) [72][240/310] eta: 0:00:36 time: 0.5259 data_time: 0.4139 memory: 3406 2022/07/24 06:49:13 - mmengine - INFO - Epoch(val) [72][260/310] eta: 0:00:39 time: 0.7861 data_time: 0.6726 memory: 3406 2022/07/24 06:49:24 - mmengine - INFO - Epoch(val) [72][280/310] eta: 0:00:16 time: 0.5542 data_time: 0.4376 memory: 3406 2022/07/24 06:49:39 - mmengine - INFO - Epoch(val) [72][300/310] eta: 0:00:07 time: 0.7267 data_time: 0.6126 memory: 3406 2022/07/24 06:49:44 - mmengine - INFO - Epoch(val) [72][310/310] acc/top1: 0.6793 acc/top5: 0.8746 acc/mean1: 0.6792 2022/07/24 06:50:01 - mmengine - INFO - Epoch(train) [73][20/3757] lr: 1.0000e-03 eta: 19:30:16 time: 0.8721 data_time: 0.5411 memory: 17350 grad_norm: 8.1463 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9601 loss: 0.9601 2022/07/24 06:50:15 - mmengine - INFO - Epoch(train) [73][40/3757] lr: 1.0000e-03 eta: 19:30:03 time: 0.6576 data_time: 0.3042 memory: 17350 grad_norm: 7.7504 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9965 loss: 0.9965 2022/07/24 06:50:29 - mmengine - INFO - Epoch(train) [73][60/3757] lr: 1.0000e-03 eta: 19:29:50 time: 0.7276 data_time: 0.2452 memory: 17350 grad_norm: 8.1288 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2455 loss: 1.2455 2022/07/24 06:50:41 - mmengine - INFO - Epoch(train) [73][80/3757] lr: 1.0000e-03 eta: 19:29:36 time: 0.6075 data_time: 0.1695 memory: 17350 grad_norm: 7.6707 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1899 loss: 1.1899 2022/07/24 06:50:56 - mmengine - INFO - Epoch(train) [73][100/3757] lr: 1.0000e-03 eta: 19:29:23 time: 0.7076 data_time: 0.2958 memory: 17350 grad_norm: 7.6937 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1338 loss: 1.1338 2022/07/24 06:51:07 - mmengine - INFO - Epoch(train) [73][120/3757] lr: 1.0000e-03 eta: 19:29:09 time: 0.5866 data_time: 0.2008 memory: 17350 grad_norm: 8.1655 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3297 loss: 1.3297 2022/07/24 06:51:22 - mmengine - INFO - Epoch(train) [73][140/3757] lr: 1.0000e-03 eta: 19:28:56 time: 0.7255 data_time: 0.3732 memory: 17350 grad_norm: 7.8702 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0384 loss: 1.0384 2022/07/24 06:51:34 - mmengine - INFO - Epoch(train) [73][160/3757] lr: 1.0000e-03 eta: 19:28:42 time: 0.5944 data_time: 0.2474 memory: 17350 grad_norm: 8.3511 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3407 loss: 1.3407 2022/07/24 06:51:49 - mmengine - INFO - Epoch(train) [73][180/3757] lr: 1.0000e-03 eta: 19:28:29 time: 0.7529 data_time: 0.3102 memory: 17350 grad_norm: 8.0607 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3266 loss: 1.3266 2022/07/24 06:52:01 - mmengine - INFO - Epoch(train) [73][200/3757] lr: 1.0000e-03 eta: 19:28:16 time: 0.5962 data_time: 0.1777 memory: 17350 grad_norm: 8.3022 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1870 loss: 1.1870 2022/07/24 06:52:15 - mmengine - INFO - Epoch(train) [73][220/3757] lr: 1.0000e-03 eta: 19:28:03 time: 0.7273 data_time: 0.2245 memory: 17350 grad_norm: 8.1555 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0900 loss: 1.0900 2022/07/24 06:52:28 - mmengine - INFO - Epoch(train) [73][240/3757] lr: 1.0000e-03 eta: 19:27:49 time: 0.6186 data_time: 0.1530 memory: 17350 grad_norm: 8.0071 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1086 loss: 1.1086 2022/07/24 06:52:42 - mmengine - INFO - Epoch(train) [73][260/3757] lr: 1.0000e-03 eta: 19:27:36 time: 0.7352 data_time: 0.0619 memory: 17350 grad_norm: 8.2695 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2348 loss: 1.2348 2022/07/24 06:52:54 - mmengine - INFO - Epoch(train) [73][280/3757] lr: 1.0000e-03 eta: 19:27:22 time: 0.5851 data_time: 0.0680 memory: 17350 grad_norm: 8.2007 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0447 loss: 1.0447 2022/07/24 06:53:08 - mmengine - INFO - Epoch(train) [73][300/3757] lr: 1.0000e-03 eta: 19:27:09 time: 0.7136 data_time: 0.1147 memory: 17350 grad_norm: 8.4729 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0047 loss: 1.0047 2022/07/24 06:53:20 - mmengine - INFO - Epoch(train) [73][320/3757] lr: 1.0000e-03 eta: 19:26:55 time: 0.5839 data_time: 0.1610 memory: 17350 grad_norm: 7.8419 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9898 loss: 0.9898 2022/07/24 06:53:35 - mmengine - INFO - Epoch(train) [73][340/3757] lr: 1.0000e-03 eta: 19:26:42 time: 0.7539 data_time: 0.3264 memory: 17350 grad_norm: 7.9611 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0016 loss: 1.0016 2022/07/24 06:53:47 - mmengine - INFO - Epoch(train) [73][360/3757] lr: 1.0000e-03 eta: 19:26:29 time: 0.6123 data_time: 0.2002 memory: 17350 grad_norm: 8.0550 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2800 loss: 1.2800 2022/07/24 06:54:02 - mmengine - INFO - Epoch(train) [73][380/3757] lr: 1.0000e-03 eta: 19:26:16 time: 0.7305 data_time: 0.2875 memory: 17350 grad_norm: 8.0673 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2946 loss: 1.2946 2022/07/24 06:54:14 - mmengine - INFO - Epoch(train) [73][400/3757] lr: 1.0000e-03 eta: 19:26:02 time: 0.6153 data_time: 0.1645 memory: 17350 grad_norm: 8.1254 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0971 loss: 1.0971 2022/07/24 06:54:29 - mmengine - INFO - Epoch(train) [73][420/3757] lr: 1.0000e-03 eta: 19:25:49 time: 0.7464 data_time: 0.2099 memory: 17350 grad_norm: 8.2954 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2977 loss: 1.2977 2022/07/24 06:54:41 - mmengine - INFO - Epoch(train) [73][440/3757] lr: 1.0000e-03 eta: 19:25:35 time: 0.5821 data_time: 0.1085 memory: 17350 grad_norm: 8.2463 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0227 loss: 1.0227 2022/07/24 06:54:56 - mmengine - INFO - Epoch(train) [73][460/3757] lr: 1.0000e-03 eta: 19:25:22 time: 0.7400 data_time: 0.1030 memory: 17350 grad_norm: 7.8590 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1056 loss: 1.1056 2022/07/24 06:55:09 - mmengine - INFO - Epoch(train) [73][480/3757] lr: 1.0000e-03 eta: 19:25:09 time: 0.6328 data_time: 0.0827 memory: 17350 grad_norm: 8.2396 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4772 loss: 1.4772 2022/07/24 06:55:19 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 06:55:23 - mmengine - INFO - Epoch(train) [73][500/3757] lr: 1.0000e-03 eta: 19:24:56 time: 0.7222 data_time: 0.0960 memory: 17350 grad_norm: 8.1264 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0614 loss: 1.0614 2022/07/24 06:55:35 - mmengine - INFO - Epoch(train) [73][520/3757] lr: 1.0000e-03 eta: 19:24:42 time: 0.5978 data_time: 0.1357 memory: 17350 grad_norm: 7.9320 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8677 loss: 0.8677 2022/07/24 06:55:50 - mmengine - INFO - Epoch(train) [73][540/3757] lr: 1.0000e-03 eta: 19:24:29 time: 0.7385 data_time: 0.2226 memory: 17350 grad_norm: 7.9528 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0324 loss: 1.0324 2022/07/24 06:56:02 - mmengine - INFO - Epoch(train) [73][560/3757] lr: 1.0000e-03 eta: 19:24:15 time: 0.5962 data_time: 0.2080 memory: 17350 grad_norm: 7.7113 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3861 loss: 1.3861 2022/07/24 06:56:17 - mmengine - INFO - Epoch(train) [73][580/3757] lr: 1.0000e-03 eta: 19:24:03 time: 0.7576 data_time: 0.3084 memory: 17350 grad_norm: 8.1388 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1054 loss: 1.1054 2022/07/24 06:56:29 - mmengine - INFO - Epoch(train) [73][600/3757] lr: 1.0000e-03 eta: 19:23:49 time: 0.6214 data_time: 0.1932 memory: 17350 grad_norm: 8.2166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0935 loss: 1.0935 2022/07/24 06:56:43 - mmengine - INFO - Epoch(train) [73][620/3757] lr: 1.0000e-03 eta: 19:23:36 time: 0.7098 data_time: 0.0656 memory: 17350 grad_norm: 8.0821 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2359 loss: 1.2359 2022/07/24 06:56:55 - mmengine - INFO - Epoch(train) [73][640/3757] lr: 1.0000e-03 eta: 19:23:22 time: 0.5748 data_time: 0.0331 memory: 17350 grad_norm: 8.5688 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3587 loss: 1.3587 2022/07/24 06:57:09 - mmengine - INFO - Epoch(train) [73][660/3757] lr: 1.0000e-03 eta: 19:23:09 time: 0.7184 data_time: 0.1316 memory: 17350 grad_norm: 8.2998 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3374 loss: 1.3374 2022/07/24 06:57:21 - mmengine - INFO - Epoch(train) [73][680/3757] lr: 1.0000e-03 eta: 19:22:55 time: 0.5936 data_time: 0.1452 memory: 17350 grad_norm: 8.2759 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1297 loss: 1.1297 2022/07/24 06:57:36 - mmengine - INFO - Epoch(train) [73][700/3757] lr: 1.0000e-03 eta: 19:22:42 time: 0.7428 data_time: 0.2161 memory: 17350 grad_norm: 7.8850 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0166 loss: 1.0166 2022/07/24 06:57:48 - mmengine - INFO - Epoch(train) [73][720/3757] lr: 1.0000e-03 eta: 19:22:28 time: 0.5870 data_time: 0.0912 memory: 17350 grad_norm: 8.2334 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3090 loss: 1.3090 2022/07/24 06:58:02 - mmengine - INFO - Epoch(train) [73][740/3757] lr: 1.0000e-03 eta: 19:22:15 time: 0.7039 data_time: 0.1959 memory: 17350 grad_norm: 7.9513 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0883 loss: 1.0883 2022/07/24 06:58:14 - mmengine - INFO - Epoch(train) [73][760/3757] lr: 1.0000e-03 eta: 19:22:01 time: 0.6053 data_time: 0.1651 memory: 17350 grad_norm: 8.2226 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2153 loss: 1.2153 2022/07/24 06:58:30 - mmengine - INFO - Epoch(train) [73][780/3757] lr: 1.0000e-03 eta: 19:21:49 time: 0.7863 data_time: 0.1406 memory: 17350 grad_norm: 8.2442 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1484 loss: 1.1484 2022/07/24 06:58:41 - mmengine - INFO - Epoch(train) [73][800/3757] lr: 1.0000e-03 eta: 19:21:35 time: 0.5665 data_time: 0.0335 memory: 17350 grad_norm: 8.0475 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3131 loss: 1.3131 2022/07/24 06:58:55 - mmengine - INFO - Epoch(train) [73][820/3757] lr: 1.0000e-03 eta: 19:21:22 time: 0.7033 data_time: 0.1917 memory: 17350 grad_norm: 8.1686 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1527 loss: 1.1527 2022/07/24 06:59:08 - mmengine - INFO - Epoch(train) [73][840/3757] lr: 1.0000e-03 eta: 19:21:08 time: 0.6161 data_time: 0.1493 memory: 17350 grad_norm: 7.7816 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9430 loss: 0.9430 2022/07/24 06:59:22 - mmengine - INFO - Epoch(train) [73][860/3757] lr: 1.0000e-03 eta: 19:20:55 time: 0.7172 data_time: 0.2202 memory: 17350 grad_norm: 7.8388 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8390 loss: 0.8390 2022/07/24 06:59:34 - mmengine - INFO - Epoch(train) [73][880/3757] lr: 1.0000e-03 eta: 19:20:41 time: 0.6116 data_time: 0.1876 memory: 17350 grad_norm: 8.3155 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2344 loss: 1.2344 2022/07/24 06:59:48 - mmengine - INFO - Epoch(train) [73][900/3757] lr: 1.0000e-03 eta: 19:20:28 time: 0.7120 data_time: 0.1656 memory: 17350 grad_norm: 7.9096 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2550 loss: 1.2550 2022/07/24 07:00:00 - mmengine - INFO - Epoch(train) [73][920/3757] lr: 1.0000e-03 eta: 19:20:14 time: 0.5755 data_time: 0.1582 memory: 17350 grad_norm: 8.1120 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3114 loss: 1.3114 2022/07/24 07:00:16 - mmengine - INFO - Epoch(train) [73][940/3757] lr: 1.0000e-03 eta: 19:20:02 time: 0.7773 data_time: 0.0909 memory: 17350 grad_norm: 7.9561 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1004 loss: 1.1004 2022/07/24 07:00:28 - mmengine - INFO - Epoch(train) [73][960/3757] lr: 1.0000e-03 eta: 19:19:48 time: 0.5993 data_time: 0.0196 memory: 17350 grad_norm: 8.4694 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3523 loss: 1.3523 2022/07/24 07:00:42 - mmengine - INFO - Epoch(train) [73][980/3757] lr: 1.0000e-03 eta: 19:19:35 time: 0.7319 data_time: 0.0159 memory: 17350 grad_norm: 7.8450 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1000 loss: 1.1000 2022/07/24 07:00:54 - mmengine - INFO - Epoch(train) [73][1000/3757] lr: 1.0000e-03 eta: 19:19:21 time: 0.5872 data_time: 0.0236 memory: 17350 grad_norm: 7.9214 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2890 loss: 1.2890 2022/07/24 07:01:08 - mmengine - INFO - Epoch(train) [73][1020/3757] lr: 1.0000e-03 eta: 19:19:08 time: 0.7009 data_time: 0.0219 memory: 17350 grad_norm: 8.0944 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0307 loss: 1.0307 2022/07/24 07:01:20 - mmengine - INFO - Epoch(train) [73][1040/3757] lr: 1.0000e-03 eta: 19:18:54 time: 0.6172 data_time: 0.0143 memory: 17350 grad_norm: 8.0249 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3239 loss: 1.3239 2022/07/24 07:01:35 - mmengine - INFO - Epoch(train) [73][1060/3757] lr: 1.0000e-03 eta: 19:18:41 time: 0.7471 data_time: 0.0224 memory: 17350 grad_norm: 8.2176 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2257 loss: 1.2257 2022/07/24 07:01:47 - mmengine - INFO - Epoch(train) [73][1080/3757] lr: 1.0000e-03 eta: 19:18:27 time: 0.5802 data_time: 0.0205 memory: 17350 grad_norm: 8.2840 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1537 loss: 1.1537 2022/07/24 07:02:02 - mmengine - INFO - Epoch(train) [73][1100/3757] lr: 1.0000e-03 eta: 19:18:15 time: 0.7491 data_time: 0.0227 memory: 17350 grad_norm: 8.2770 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0019 loss: 1.0019 2022/07/24 07:02:14 - mmengine - INFO - Epoch(train) [73][1120/3757] lr: 1.0000e-03 eta: 19:18:01 time: 0.6242 data_time: 0.0223 memory: 17350 grad_norm: 7.9432 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9925 loss: 0.9925 2022/07/24 07:02:29 - mmengine - INFO - Epoch(train) [73][1140/3757] lr: 1.0000e-03 eta: 19:17:48 time: 0.7067 data_time: 0.0219 memory: 17350 grad_norm: 7.9414 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1452 loss: 1.1452 2022/07/24 07:02:41 - mmengine - INFO - Epoch(train) [73][1160/3757] lr: 1.0000e-03 eta: 19:17:34 time: 0.6039 data_time: 0.0227 memory: 17350 grad_norm: 7.9651 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8857 loss: 0.8857 2022/07/24 07:02:55 - mmengine - INFO - Epoch(train) [73][1180/3757] lr: 1.0000e-03 eta: 19:17:21 time: 0.7239 data_time: 0.0212 memory: 17350 grad_norm: 8.1895 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0118 loss: 1.0118 2022/07/24 07:03:07 - mmengine - INFO - Epoch(train) [73][1200/3757] lr: 1.0000e-03 eta: 19:17:07 time: 0.5936 data_time: 0.0227 memory: 17350 grad_norm: 8.3814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7758 loss: 0.7758 2022/07/24 07:03:22 - mmengine - INFO - Epoch(train) [73][1220/3757] lr: 1.0000e-03 eta: 19:16:55 time: 0.7684 data_time: 0.0220 memory: 17350 grad_norm: 8.2866 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9187 loss: 0.9187 2022/07/24 07:03:34 - mmengine - INFO - Epoch(train) [73][1240/3757] lr: 1.0000e-03 eta: 19:16:41 time: 0.5962 data_time: 0.0232 memory: 17350 grad_norm: 8.1124 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2163 loss: 1.2163 2022/07/24 07:03:49 - mmengine - INFO - Epoch(train) [73][1260/3757] lr: 1.0000e-03 eta: 19:16:28 time: 0.7190 data_time: 0.0220 memory: 17350 grad_norm: 8.0201 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9187 loss: 0.9187 2022/07/24 07:04:01 - mmengine - INFO - Epoch(train) [73][1280/3757] lr: 1.0000e-03 eta: 19:16:14 time: 0.6086 data_time: 0.0231 memory: 17350 grad_norm: 8.0224 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2870 loss: 1.2870 2022/07/24 07:04:16 - mmengine - INFO - Epoch(train) [73][1300/3757] lr: 1.0000e-03 eta: 19:16:01 time: 0.7321 data_time: 0.0250 memory: 17350 grad_norm: 7.7401 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0507 loss: 1.0507 2022/07/24 07:04:28 - mmengine - INFO - Epoch(train) [73][1320/3757] lr: 1.0000e-03 eta: 19:15:47 time: 0.6035 data_time: 0.0215 memory: 17350 grad_norm: 8.0687 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2441 loss: 1.2441 2022/07/24 07:04:43 - mmengine - INFO - Epoch(train) [73][1340/3757] lr: 1.0000e-03 eta: 19:15:35 time: 0.7590 data_time: 0.0240 memory: 17350 grad_norm: 8.0415 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2590 loss: 1.2590 2022/07/24 07:04:54 - mmengine - INFO - Epoch(train) [73][1360/3757] lr: 1.0000e-03 eta: 19:15:20 time: 0.5562 data_time: 0.0226 memory: 17350 grad_norm: 7.9217 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0371 loss: 1.0371 2022/07/24 07:05:09 - mmengine - INFO - Epoch(train) [73][1380/3757] lr: 1.0000e-03 eta: 19:15:07 time: 0.7324 data_time: 0.0199 memory: 17350 grad_norm: 7.9592 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1437 loss: 1.1437 2022/07/24 07:05:21 - mmengine - INFO - Epoch(train) [73][1400/3757] lr: 1.0000e-03 eta: 19:14:54 time: 0.6060 data_time: 0.0217 memory: 17350 grad_norm: 7.8936 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2919 loss: 1.2919 2022/07/24 07:05:36 - mmengine - INFO - Epoch(train) [73][1420/3757] lr: 1.0000e-03 eta: 19:14:41 time: 0.7347 data_time: 0.0272 memory: 17350 grad_norm: 8.4638 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0575 loss: 1.0575 2022/07/24 07:05:47 - mmengine - INFO - Epoch(train) [73][1440/3757] lr: 1.0000e-03 eta: 19:14:27 time: 0.5938 data_time: 0.0211 memory: 17350 grad_norm: 8.0592 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0418 loss: 1.0418 2022/07/24 07:06:02 - mmengine - INFO - Epoch(train) [73][1460/3757] lr: 1.0000e-03 eta: 19:14:14 time: 0.7353 data_time: 0.0222 memory: 17350 grad_norm: 8.0338 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0943 loss: 1.0943 2022/07/24 07:06:14 - mmengine - INFO - Epoch(train) [73][1480/3757] lr: 1.0000e-03 eta: 19:14:00 time: 0.6046 data_time: 0.0228 memory: 17350 grad_norm: 7.9925 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2929 loss: 1.2929 2022/07/24 07:06:25 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 07:06:28 - mmengine - INFO - Epoch(train) [73][1500/3757] lr: 1.0000e-03 eta: 19:13:47 time: 0.6994 data_time: 0.0238 memory: 17350 grad_norm: 8.0726 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2639 loss: 1.2639 2022/07/24 07:06:41 - mmengine - INFO - Epoch(train) [73][1520/3757] lr: 1.0000e-03 eta: 19:13:33 time: 0.6289 data_time: 0.0242 memory: 17350 grad_norm: 8.2284 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0844 loss: 1.0844 2022/07/24 07:06:55 - mmengine - INFO - Epoch(train) [73][1540/3757] lr: 1.0000e-03 eta: 19:13:20 time: 0.7100 data_time: 0.0216 memory: 17350 grad_norm: 8.3697 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0655 loss: 1.0655 2022/07/24 07:07:07 - mmengine - INFO - Epoch(train) [73][1560/3757] lr: 1.0000e-03 eta: 19:13:07 time: 0.6031 data_time: 0.0203 memory: 17350 grad_norm: 7.6895 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2077 loss: 1.2077 2022/07/24 07:07:22 - mmengine - INFO - Epoch(train) [73][1580/3757] lr: 1.0000e-03 eta: 19:12:54 time: 0.7488 data_time: 0.0233 memory: 17350 grad_norm: 7.7460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9632 loss: 0.9632 2022/07/24 07:07:35 - mmengine - INFO - Epoch(train) [73][1600/3757] lr: 1.0000e-03 eta: 19:12:40 time: 0.6465 data_time: 0.0230 memory: 17350 grad_norm: 8.2259 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2440 loss: 1.2440 2022/07/24 07:07:49 - mmengine - INFO - Epoch(train) [73][1620/3757] lr: 1.0000e-03 eta: 19:12:27 time: 0.7047 data_time: 0.0231 memory: 17350 grad_norm: 8.0862 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1463 loss: 1.1463 2022/07/24 07:08:01 - mmengine - INFO - Epoch(train) [73][1640/3757] lr: 1.0000e-03 eta: 19:12:13 time: 0.5927 data_time: 0.0235 memory: 17350 grad_norm: 8.3951 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4070 loss: 1.4070 2022/07/24 07:08:16 - mmengine - INFO - Epoch(train) [73][1660/3757] lr: 1.0000e-03 eta: 19:12:01 time: 0.7419 data_time: 0.0231 memory: 17350 grad_norm: 8.1808 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2555 loss: 1.2555 2022/07/24 07:08:28 - mmengine - INFO - Epoch(train) [73][1680/3757] lr: 1.0000e-03 eta: 19:11:47 time: 0.5850 data_time: 0.0214 memory: 17350 grad_norm: 7.7084 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8686 loss: 0.8686 2022/07/24 07:08:41 - mmengine - INFO - Epoch(train) [73][1700/3757] lr: 1.0000e-03 eta: 19:11:33 time: 0.6642 data_time: 0.0225 memory: 17350 grad_norm: 8.8103 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3684 loss: 1.3684 2022/07/24 07:08:53 - mmengine - INFO - Epoch(train) [73][1720/3757] lr: 1.0000e-03 eta: 19:11:19 time: 0.6027 data_time: 0.0220 memory: 17350 grad_norm: 7.9431 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1104 loss: 1.1104 2022/07/24 07:09:08 - mmengine - INFO - Epoch(train) [73][1740/3757] lr: 1.0000e-03 eta: 19:11:06 time: 0.7311 data_time: 0.0218 memory: 17350 grad_norm: 8.4413 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2545 loss: 1.2545 2022/07/24 07:09:20 - mmengine - INFO - Epoch(train) [73][1760/3757] lr: 1.0000e-03 eta: 19:10:53 time: 0.5939 data_time: 0.0251 memory: 17350 grad_norm: 8.4583 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3529 loss: 1.3529 2022/07/24 07:09:34 - mmengine - INFO - Epoch(train) [73][1780/3757] lr: 1.0000e-03 eta: 19:10:40 time: 0.7101 data_time: 0.0225 memory: 17350 grad_norm: 8.2060 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0916 loss: 1.0916 2022/07/24 07:09:46 - mmengine - INFO - Epoch(train) [73][1800/3757] lr: 1.0000e-03 eta: 19:10:26 time: 0.6169 data_time: 0.0297 memory: 17350 grad_norm: 8.2881 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0930 loss: 1.0930 2022/07/24 07:10:00 - mmengine - INFO - Epoch(train) [73][1820/3757] lr: 1.0000e-03 eta: 19:10:13 time: 0.7020 data_time: 0.0240 memory: 17350 grad_norm: 8.1654 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1618 loss: 1.1618 2022/07/24 07:10:13 - mmengine - INFO - Epoch(train) [73][1840/3757] lr: 1.0000e-03 eta: 19:09:59 time: 0.6253 data_time: 0.0225 memory: 17350 grad_norm: 8.1479 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1734 loss: 1.1734 2022/07/24 07:10:28 - mmengine - INFO - Epoch(train) [73][1860/3757] lr: 1.0000e-03 eta: 19:09:46 time: 0.7557 data_time: 0.0237 memory: 17350 grad_norm: 8.2636 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0870 loss: 1.0870 2022/07/24 07:10:40 - mmengine - INFO - Epoch(train) [73][1880/3757] lr: 1.0000e-03 eta: 19:09:32 time: 0.5878 data_time: 0.0219 memory: 17350 grad_norm: 8.0097 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1551 loss: 1.1551 2022/07/24 07:10:54 - mmengine - INFO - Epoch(train) [73][1900/3757] lr: 1.0000e-03 eta: 19:09:19 time: 0.7088 data_time: 0.0228 memory: 17350 grad_norm: 8.0211 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1979 loss: 1.1979 2022/07/24 07:11:06 - mmengine - INFO - Epoch(train) [73][1920/3757] lr: 1.0000e-03 eta: 19:09:05 time: 0.5863 data_time: 0.0232 memory: 17350 grad_norm: 8.2939 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0651 loss: 1.0651 2022/07/24 07:11:20 - mmengine - INFO - Epoch(train) [73][1940/3757] lr: 1.0000e-03 eta: 19:08:52 time: 0.7153 data_time: 0.0205 memory: 17350 grad_norm: 7.8588 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0891 loss: 1.0891 2022/07/24 07:11:32 - mmengine - INFO - Epoch(train) [73][1960/3757] lr: 1.0000e-03 eta: 19:08:38 time: 0.5811 data_time: 0.0243 memory: 17350 grad_norm: 7.8471 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0401 loss: 1.0401 2022/07/24 07:11:45 - mmengine - INFO - Epoch(train) [73][1980/3757] lr: 1.0000e-03 eta: 19:08:25 time: 0.6935 data_time: 0.0235 memory: 17350 grad_norm: 7.9538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1120 loss: 1.1120 2022/07/24 07:11:57 - mmengine - INFO - Epoch(train) [73][2000/3757] lr: 1.0000e-03 eta: 19:08:11 time: 0.5810 data_time: 0.0207 memory: 17350 grad_norm: 8.3202 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3198 loss: 1.3198 2022/07/24 07:12:12 - mmengine - INFO - Epoch(train) [73][2020/3757] lr: 1.0000e-03 eta: 19:07:58 time: 0.7213 data_time: 0.0235 memory: 17350 grad_norm: 8.1539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1373 loss: 1.1373 2022/07/24 07:12:24 - mmengine - INFO - Epoch(train) [73][2040/3757] lr: 1.0000e-03 eta: 19:07:44 time: 0.6076 data_time: 0.0232 memory: 17350 grad_norm: 7.9342 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0663 loss: 1.0663 2022/07/24 07:12:38 - mmengine - INFO - Epoch(train) [73][2060/3757] lr: 1.0000e-03 eta: 19:07:32 time: 0.7189 data_time: 0.0208 memory: 17350 grad_norm: 8.0803 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3692 loss: 1.3692 2022/07/24 07:12:51 - mmengine - INFO - Epoch(train) [73][2080/3757] lr: 1.0000e-03 eta: 19:07:18 time: 0.6264 data_time: 0.0233 memory: 17350 grad_norm: 8.0233 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2897 loss: 1.2897 2022/07/24 07:13:05 - mmengine - INFO - Epoch(train) [73][2100/3757] lr: 1.0000e-03 eta: 19:07:05 time: 0.6997 data_time: 0.0229 memory: 17350 grad_norm: 8.1756 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2793 loss: 1.2793 2022/07/24 07:13:17 - mmengine - INFO - Epoch(train) [73][2120/3757] lr: 1.0000e-03 eta: 19:06:51 time: 0.6223 data_time: 0.0230 memory: 17350 grad_norm: 8.1038 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2956 loss: 1.2956 2022/07/24 07:13:32 - mmengine - INFO - Epoch(train) [73][2140/3757] lr: 1.0000e-03 eta: 19:06:38 time: 0.7361 data_time: 0.0216 memory: 17350 grad_norm: 8.5483 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2143 loss: 1.2143 2022/07/24 07:13:43 - mmengine - INFO - Epoch(train) [73][2160/3757] lr: 1.0000e-03 eta: 19:06:24 time: 0.5805 data_time: 0.0225 memory: 17350 grad_norm: 8.2138 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3957 loss: 1.3957 2022/07/24 07:13:58 - mmengine - INFO - Epoch(train) [73][2180/3757] lr: 1.0000e-03 eta: 19:06:11 time: 0.7313 data_time: 0.0203 memory: 17350 grad_norm: 8.0119 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1990 loss: 1.1990 2022/07/24 07:14:11 - mmengine - INFO - Epoch(train) [73][2200/3757] lr: 1.0000e-03 eta: 19:05:58 time: 0.6365 data_time: 0.0230 memory: 17350 grad_norm: 7.8760 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0747 loss: 1.0747 2022/07/24 07:14:25 - mmengine - INFO - Epoch(train) [73][2220/3757] lr: 1.0000e-03 eta: 19:05:45 time: 0.7110 data_time: 0.0247 memory: 17350 grad_norm: 8.2766 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2475 loss: 1.2475 2022/07/24 07:14:38 - mmengine - INFO - Epoch(train) [73][2240/3757] lr: 1.0000e-03 eta: 19:05:31 time: 0.6378 data_time: 0.0227 memory: 17350 grad_norm: 7.8259 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0753 loss: 1.0753 2022/07/24 07:14:53 - mmengine - INFO - Epoch(train) [73][2260/3757] lr: 1.0000e-03 eta: 19:05:18 time: 0.7407 data_time: 0.0218 memory: 17350 grad_norm: 7.9940 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1866 loss: 1.1866 2022/07/24 07:15:05 - mmengine - INFO - Epoch(train) [73][2280/3757] lr: 1.0000e-03 eta: 19:05:05 time: 0.6353 data_time: 0.0233 memory: 17350 grad_norm: 7.8479 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1298 loss: 1.1298 2022/07/24 07:15:20 - mmengine - INFO - Epoch(train) [73][2300/3757] lr: 1.0000e-03 eta: 19:04:52 time: 0.7160 data_time: 0.0213 memory: 17350 grad_norm: 8.0672 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4143 loss: 1.4143 2022/07/24 07:15:32 - mmengine - INFO - Epoch(train) [73][2320/3757] lr: 1.0000e-03 eta: 19:04:38 time: 0.5872 data_time: 0.0232 memory: 17350 grad_norm: 8.3375 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3352 loss: 1.3352 2022/07/24 07:15:46 - mmengine - INFO - Epoch(train) [73][2340/3757] lr: 1.0000e-03 eta: 19:04:25 time: 0.7480 data_time: 0.0212 memory: 17350 grad_norm: 8.3385 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1762 loss: 1.1762 2022/07/24 07:15:59 - mmengine - INFO - Epoch(train) [73][2360/3757] lr: 1.0000e-03 eta: 19:04:11 time: 0.6013 data_time: 0.0214 memory: 17350 grad_norm: 7.9739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2060 loss: 1.2060 2022/07/24 07:16:13 - mmengine - INFO - Epoch(train) [73][2380/3757] lr: 1.0000e-03 eta: 19:03:58 time: 0.7111 data_time: 0.0222 memory: 17350 grad_norm: 8.2588 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2505 loss: 1.2505 2022/07/24 07:16:25 - mmengine - INFO - Epoch(train) [73][2400/3757] lr: 1.0000e-03 eta: 19:03:44 time: 0.6003 data_time: 0.0237 memory: 17350 grad_norm: 8.0295 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 0.8429 loss: 0.8429 2022/07/24 07:16:39 - mmengine - INFO - Epoch(train) [73][2420/3757] lr: 1.0000e-03 eta: 19:03:31 time: 0.7262 data_time: 0.0208 memory: 17350 grad_norm: 8.0574 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1727 loss: 1.1727 2022/07/24 07:16:51 - mmengine - INFO - Epoch(train) [73][2440/3757] lr: 1.0000e-03 eta: 19:03:18 time: 0.6002 data_time: 0.0231 memory: 17350 grad_norm: 8.0838 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0674 loss: 1.0674 2022/07/24 07:17:05 - mmengine - INFO - Epoch(train) [73][2460/3757] lr: 1.0000e-03 eta: 19:03:04 time: 0.7018 data_time: 0.0254 memory: 17350 grad_norm: 8.1529 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1653 loss: 1.1653 2022/07/24 07:17:17 - mmengine - INFO - Epoch(train) [73][2480/3757] lr: 1.0000e-03 eta: 19:02:50 time: 0.5782 data_time: 0.0220 memory: 17350 grad_norm: 8.7316 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4406 loss: 1.4406 2022/07/24 07:17:27 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 07:17:32 - mmengine - INFO - Epoch(train) [73][2500/3757] lr: 1.0000e-03 eta: 19:02:38 time: 0.7258 data_time: 0.0236 memory: 17350 grad_norm: 8.1806 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1627 loss: 1.1627 2022/07/24 07:17:44 - mmengine - INFO - Epoch(train) [73][2520/3757] lr: 1.0000e-03 eta: 19:02:24 time: 0.6027 data_time: 0.0227 memory: 17350 grad_norm: 7.9213 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9551 loss: 0.9551 2022/07/24 07:17:58 - mmengine - INFO - Epoch(train) [73][2540/3757] lr: 1.0000e-03 eta: 19:02:11 time: 0.6981 data_time: 0.0348 memory: 17350 grad_norm: 8.2197 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1504 loss: 1.1504 2022/07/24 07:18:10 - mmengine - INFO - Epoch(train) [73][2560/3757] lr: 1.0000e-03 eta: 19:01:57 time: 0.6284 data_time: 0.0259 memory: 17350 grad_norm: 8.0233 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0788 loss: 1.0788 2022/07/24 07:18:24 - mmengine - INFO - Epoch(train) [73][2580/3757] lr: 1.0000e-03 eta: 19:01:44 time: 0.7115 data_time: 0.0227 memory: 17350 grad_norm: 8.0700 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1376 loss: 1.1376 2022/07/24 07:18:36 - mmengine - INFO - Epoch(train) [73][2600/3757] lr: 1.0000e-03 eta: 19:01:30 time: 0.5812 data_time: 0.0243 memory: 17350 grad_norm: 8.5136 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9772 loss: 0.9772 2022/07/24 07:18:50 - mmengine - INFO - Epoch(train) [73][2620/3757] lr: 1.0000e-03 eta: 19:01:17 time: 0.7136 data_time: 0.0208 memory: 17350 grad_norm: 8.3371 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0402 loss: 1.0402 2022/07/24 07:19:03 - mmengine - INFO - Epoch(train) [73][2640/3757] lr: 1.0000e-03 eta: 19:01:03 time: 0.6301 data_time: 0.0783 memory: 17350 grad_norm: 8.1097 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1298 loss: 1.1298 2022/07/24 07:19:18 - mmengine - INFO - Epoch(train) [73][2660/3757] lr: 1.0000e-03 eta: 19:00:50 time: 0.7299 data_time: 0.0396 memory: 17350 grad_norm: 8.0626 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0512 loss: 1.0512 2022/07/24 07:19:30 - mmengine - INFO - Epoch(train) [73][2680/3757] lr: 1.0000e-03 eta: 19:00:37 time: 0.6201 data_time: 0.0755 memory: 17350 grad_norm: 7.8555 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1352 loss: 1.1352 2022/07/24 07:19:44 - mmengine - INFO - Epoch(train) [73][2700/3757] lr: 1.0000e-03 eta: 19:00:24 time: 0.7081 data_time: 0.0605 memory: 17350 grad_norm: 8.2163 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0983 loss: 1.0983 2022/07/24 07:19:56 - mmengine - INFO - Epoch(train) [73][2720/3757] lr: 1.0000e-03 eta: 19:00:10 time: 0.6155 data_time: 0.0700 memory: 17350 grad_norm: 7.9086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1038 loss: 1.1038 2022/07/24 07:20:12 - mmengine - INFO - Epoch(train) [73][2740/3757] lr: 1.0000e-03 eta: 18:59:57 time: 0.7505 data_time: 0.1059 memory: 17350 grad_norm: 8.1659 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2691 loss: 1.2691 2022/07/24 07:20:24 - mmengine - INFO - Epoch(train) [73][2760/3757] lr: 1.0000e-03 eta: 18:59:44 time: 0.6373 data_time: 0.0563 memory: 17350 grad_norm: 8.6364 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0528 loss: 1.0528 2022/07/24 07:20:38 - mmengine - INFO - Epoch(train) [73][2780/3757] lr: 1.0000e-03 eta: 18:59:30 time: 0.6917 data_time: 0.0241 memory: 17350 grad_norm: 8.4614 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0752 loss: 1.0752 2022/07/24 07:20:50 - mmengine - INFO - Epoch(train) [73][2800/3757] lr: 1.0000e-03 eta: 18:59:17 time: 0.6056 data_time: 0.0217 memory: 17350 grad_norm: 8.4772 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3722 loss: 1.3722 2022/07/24 07:21:04 - mmengine - INFO - Epoch(train) [73][2820/3757] lr: 1.0000e-03 eta: 18:59:03 time: 0.6954 data_time: 0.0201 memory: 17350 grad_norm: 8.2001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0920 loss: 1.0920 2022/07/24 07:21:17 - mmengine - INFO - Epoch(train) [73][2840/3757] lr: 1.0000e-03 eta: 18:58:50 time: 0.6279 data_time: 0.0229 memory: 17350 grad_norm: 7.8591 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0317 loss: 1.0317 2022/07/24 07:21:31 - mmengine - INFO - Epoch(train) [73][2860/3757] lr: 1.0000e-03 eta: 18:58:37 time: 0.7316 data_time: 0.0207 memory: 17350 grad_norm: 8.2489 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.0626 loss: 1.0626 2022/07/24 07:21:43 - mmengine - INFO - Epoch(train) [73][2880/3757] lr: 1.0000e-03 eta: 18:58:23 time: 0.5963 data_time: 0.0261 memory: 17350 grad_norm: 8.3173 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1754 loss: 1.1754 2022/07/24 07:21:59 - mmengine - INFO - Epoch(train) [73][2900/3757] lr: 1.0000e-03 eta: 18:58:11 time: 0.7814 data_time: 0.0203 memory: 17350 grad_norm: 8.2779 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2204 loss: 1.2204 2022/07/24 07:22:11 - mmengine - INFO - Epoch(train) [73][2920/3757] lr: 1.0000e-03 eta: 18:57:57 time: 0.5834 data_time: 0.0225 memory: 17350 grad_norm: 8.3157 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3214 loss: 1.3214 2022/07/24 07:22:26 - mmengine - INFO - Epoch(train) [73][2940/3757] lr: 1.0000e-03 eta: 18:57:44 time: 0.7412 data_time: 0.0224 memory: 17350 grad_norm: 7.7119 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0056 loss: 1.0056 2022/07/24 07:22:38 - mmengine - INFO - Epoch(train) [73][2960/3757] lr: 1.0000e-03 eta: 18:57:30 time: 0.6019 data_time: 0.0246 memory: 17350 grad_norm: 8.3399 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8467 loss: 0.8467 2022/07/24 07:22:53 - mmengine - INFO - Epoch(train) [73][2980/3757] lr: 1.0000e-03 eta: 18:57:17 time: 0.7462 data_time: 0.0222 memory: 17350 grad_norm: 8.3550 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4083 loss: 1.4083 2022/07/24 07:23:04 - mmengine - INFO - Epoch(train) [73][3000/3757] lr: 1.0000e-03 eta: 18:57:03 time: 0.5648 data_time: 0.0240 memory: 17350 grad_norm: 8.3416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3767 loss: 1.3767 2022/07/24 07:23:17 - mmengine - INFO - Epoch(train) [73][3020/3757] lr: 1.0000e-03 eta: 18:56:50 time: 0.6707 data_time: 0.0216 memory: 17350 grad_norm: 8.1060 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2230 loss: 1.2230 2022/07/24 07:23:29 - mmengine - INFO - Epoch(train) [73][3040/3757] lr: 1.0000e-03 eta: 18:56:36 time: 0.5862 data_time: 0.0247 memory: 17350 grad_norm: 8.1483 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1996 loss: 1.1996 2022/07/24 07:23:43 - mmengine - INFO - Epoch(train) [73][3060/3757] lr: 1.0000e-03 eta: 18:56:23 time: 0.7168 data_time: 0.0218 memory: 17350 grad_norm: 8.1879 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9882 loss: 0.9882 2022/07/24 07:23:56 - mmengine - INFO - Epoch(train) [73][3080/3757] lr: 1.0000e-03 eta: 18:56:09 time: 0.6193 data_time: 0.0220 memory: 17350 grad_norm: 8.1596 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0986 loss: 1.0986 2022/07/24 07:24:10 - mmengine - INFO - Epoch(train) [73][3100/3757] lr: 1.0000e-03 eta: 18:55:56 time: 0.7165 data_time: 0.0219 memory: 17350 grad_norm: 8.3440 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2950 loss: 1.2950 2022/07/24 07:24:22 - mmengine - INFO - Epoch(train) [73][3120/3757] lr: 1.0000e-03 eta: 18:55:42 time: 0.6171 data_time: 0.0314 memory: 17350 grad_norm: 8.3634 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2408 loss: 1.2408 2022/07/24 07:24:37 - mmengine - INFO - Epoch(train) [73][3140/3757] lr: 1.0000e-03 eta: 18:55:30 time: 0.7415 data_time: 0.0317 memory: 17350 grad_norm: 8.3803 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4426 loss: 1.4426 2022/07/24 07:24:49 - mmengine - INFO - Epoch(train) [73][3160/3757] lr: 1.0000e-03 eta: 18:55:16 time: 0.5982 data_time: 0.0213 memory: 17350 grad_norm: 8.2528 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9702 loss: 0.9702 2022/07/24 07:25:04 - mmengine - INFO - Epoch(train) [73][3180/3757] lr: 1.0000e-03 eta: 18:55:03 time: 0.7216 data_time: 0.0213 memory: 17350 grad_norm: 7.9533 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3227 loss: 1.3227 2022/07/24 07:25:16 - mmengine - INFO - Epoch(train) [73][3200/3757] lr: 1.0000e-03 eta: 18:54:49 time: 0.5878 data_time: 0.0246 memory: 17350 grad_norm: 8.1445 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2364 loss: 1.2364 2022/07/24 07:25:30 - mmengine - INFO - Epoch(train) [73][3220/3757] lr: 1.0000e-03 eta: 18:54:36 time: 0.7228 data_time: 0.0569 memory: 17350 grad_norm: 8.2672 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1838 loss: 1.1838 2022/07/24 07:25:42 - mmengine - INFO - Epoch(train) [73][3240/3757] lr: 1.0000e-03 eta: 18:54:22 time: 0.6071 data_time: 0.0306 memory: 17350 grad_norm: 8.3414 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2118 loss: 1.2118 2022/07/24 07:25:56 - mmengine - INFO - Epoch(train) [73][3260/3757] lr: 1.0000e-03 eta: 18:54:09 time: 0.7114 data_time: 0.0639 memory: 17350 grad_norm: 8.1073 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2190 loss: 1.2190 2022/07/24 07:26:09 - mmengine - INFO - Epoch(train) [73][3280/3757] lr: 1.0000e-03 eta: 18:53:56 time: 0.6549 data_time: 0.0430 memory: 17350 grad_norm: 8.1669 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0686 loss: 1.0686 2022/07/24 07:26:23 - mmengine - INFO - Epoch(train) [73][3300/3757] lr: 1.0000e-03 eta: 18:53:42 time: 0.6972 data_time: 0.0223 memory: 17350 grad_norm: 8.1182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1445 loss: 1.1445 2022/07/24 07:26:37 - mmengine - INFO - Epoch(train) [73][3320/3757] lr: 1.0000e-03 eta: 18:53:29 time: 0.6688 data_time: 0.0232 memory: 17350 grad_norm: 8.1854 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8336 loss: 0.8336 2022/07/24 07:26:50 - mmengine - INFO - Epoch(train) [73][3340/3757] lr: 1.0000e-03 eta: 18:53:16 time: 0.6620 data_time: 0.0232 memory: 17350 grad_norm: 8.1410 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0558 loss: 1.0558 2022/07/24 07:27:05 - mmengine - INFO - Epoch(train) [73][3360/3757] lr: 1.0000e-03 eta: 18:53:03 time: 0.7355 data_time: 0.0243 memory: 17350 grad_norm: 8.0667 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2059 loss: 1.2059 2022/07/24 07:27:17 - mmengine - INFO - Epoch(train) [73][3380/3757] lr: 1.0000e-03 eta: 18:52:49 time: 0.6121 data_time: 0.0226 memory: 17350 grad_norm: 7.9876 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3128 loss: 1.3128 2022/07/24 07:27:31 - mmengine - INFO - Epoch(train) [73][3400/3757] lr: 1.0000e-03 eta: 18:52:36 time: 0.7104 data_time: 0.0216 memory: 17350 grad_norm: 8.2615 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1369 loss: 1.1369 2022/07/24 07:27:43 - mmengine - INFO - Epoch(train) [73][3420/3757] lr: 1.0000e-03 eta: 18:52:22 time: 0.6058 data_time: 0.0245 memory: 17350 grad_norm: 8.5256 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1037 loss: 1.1037 2022/07/24 07:27:58 - mmengine - INFO - Epoch(train) [73][3440/3757] lr: 1.0000e-03 eta: 18:52:09 time: 0.7207 data_time: 0.0271 memory: 17350 grad_norm: 8.2224 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1839 loss: 1.1839 2022/07/24 07:28:11 - mmengine - INFO - Epoch(train) [73][3460/3757] lr: 1.0000e-03 eta: 18:51:56 time: 0.6421 data_time: 0.0232 memory: 17350 grad_norm: 8.2860 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2891 loss: 1.2891 2022/07/24 07:28:25 - mmengine - INFO - Epoch(train) [73][3480/3757] lr: 1.0000e-03 eta: 18:51:43 time: 0.7301 data_time: 0.0206 memory: 17350 grad_norm: 7.9499 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0373 loss: 1.0373 2022/07/24 07:28:35 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 07:28:36 - mmengine - INFO - Epoch(train) [73][3500/3757] lr: 1.0000e-03 eta: 18:51:29 time: 0.5536 data_time: 0.0229 memory: 17350 grad_norm: 8.2709 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2715 loss: 1.2715 2022/07/24 07:28:52 - mmengine - INFO - Epoch(train) [73][3520/3757] lr: 1.0000e-03 eta: 18:51:16 time: 0.7579 data_time: 0.0221 memory: 17350 grad_norm: 8.3398 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0041 loss: 1.0041 2022/07/24 07:29:03 - mmengine - INFO - Epoch(train) [73][3540/3757] lr: 1.0000e-03 eta: 18:51:02 time: 0.5598 data_time: 0.0240 memory: 17350 grad_norm: 8.4808 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1772 loss: 1.1772 2022/07/24 07:29:17 - mmengine - INFO - Epoch(train) [73][3560/3757] lr: 1.0000e-03 eta: 18:50:49 time: 0.6968 data_time: 0.0231 memory: 17350 grad_norm: 8.2406 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0008 loss: 1.0008 2022/07/24 07:29:29 - mmengine - INFO - Epoch(train) [73][3580/3757] lr: 1.0000e-03 eta: 18:50:35 time: 0.6043 data_time: 0.0232 memory: 17350 grad_norm: 8.3582 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2127 loss: 1.2127 2022/07/24 07:29:43 - mmengine - INFO - Epoch(train) [73][3600/3757] lr: 1.0000e-03 eta: 18:50:22 time: 0.7246 data_time: 0.0233 memory: 17350 grad_norm: 8.1984 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0296 loss: 1.0296 2022/07/24 07:29:56 - mmengine - INFO - Epoch(train) [73][3620/3757] lr: 1.0000e-03 eta: 18:50:08 time: 0.6318 data_time: 0.0235 memory: 17350 grad_norm: 8.2333 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1874 loss: 1.1874 2022/07/24 07:30:11 - mmengine - INFO - Epoch(train) [73][3640/3757] lr: 1.0000e-03 eta: 18:49:56 time: 0.7634 data_time: 0.0244 memory: 17350 grad_norm: 8.1529 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3072 loss: 1.3072 2022/07/24 07:30:24 - mmengine - INFO - Epoch(train) [73][3660/3757] lr: 1.0000e-03 eta: 18:49:42 time: 0.6134 data_time: 0.0234 memory: 17350 grad_norm: 8.2647 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2287 loss: 1.2287 2022/07/24 07:30:38 - mmengine - INFO - Epoch(train) [73][3680/3757] lr: 1.0000e-03 eta: 18:49:29 time: 0.7021 data_time: 0.0244 memory: 17350 grad_norm: 8.2166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0533 loss: 1.0533 2022/07/24 07:30:50 - mmengine - INFO - Epoch(train) [73][3700/3757] lr: 1.0000e-03 eta: 18:49:15 time: 0.6060 data_time: 0.0224 memory: 17350 grad_norm: 8.3436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1730 loss: 1.1730 2022/07/24 07:31:04 - mmengine - INFO - Epoch(train) [73][3720/3757] lr: 1.0000e-03 eta: 18:49:02 time: 0.7135 data_time: 0.0224 memory: 17350 grad_norm: 8.1690 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8679 loss: 0.8679 2022/07/24 07:31:16 - mmengine - INFO - Epoch(train) [73][3740/3757] lr: 1.0000e-03 eta: 18:48:48 time: 0.5922 data_time: 0.0235 memory: 17350 grad_norm: 7.8715 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1000 loss: 1.1000 2022/07/24 07:31:24 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 07:31:24 - mmengine - INFO - Epoch(train) [73][3757/3757] lr: 1.0000e-03 eta: 18:48:48 time: 0.4470 data_time: 0.0208 memory: 17350 grad_norm: 8.2836 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.2562 loss: 1.2562 2022/07/24 07:31:40 - mmengine - INFO - Epoch(val) [73][20/310] eta: 0:04:00 time: 0.8280 data_time: 0.7145 memory: 3406 2022/07/24 07:31:52 - mmengine - INFO - Epoch(val) [73][40/310] eta: 0:02:33 time: 0.5689 data_time: 0.4560 memory: 3406 2022/07/24 07:32:06 - mmengine - INFO - Epoch(val) [73][60/310] eta: 0:02:58 time: 0.7126 data_time: 0.5986 memory: 3406 2022/07/24 07:32:18 - mmengine - INFO - Epoch(val) [73][80/310] eta: 0:02:17 time: 0.5981 data_time: 0.4847 memory: 3406 2022/07/24 07:32:32 - mmengine - INFO - Epoch(val) [73][100/310] eta: 0:02:29 time: 0.7139 data_time: 0.6003 memory: 3406 2022/07/24 07:32:44 - mmengine - INFO - Epoch(val) [73][120/310] eta: 0:01:48 time: 0.5719 data_time: 0.4570 memory: 3406 2022/07/24 07:32:59 - mmengine - INFO - Epoch(val) [73][140/310] eta: 0:02:07 time: 0.7512 data_time: 0.6364 memory: 3406 2022/07/24 07:33:10 - mmengine - INFO - Epoch(val) [73][160/310] eta: 0:01:26 time: 0.5795 data_time: 0.4675 memory: 3406 2022/07/24 07:33:25 - mmengine - INFO - Epoch(val) [73][180/310] eta: 0:01:37 time: 0.7464 data_time: 0.6332 memory: 3406 2022/07/24 07:33:37 - mmengine - INFO - Epoch(val) [73][200/310] eta: 0:01:02 time: 0.5689 data_time: 0.4550 memory: 3406 2022/07/24 07:33:52 - mmengine - INFO - Epoch(val) [73][220/310] eta: 0:01:08 time: 0.7606 data_time: 0.6465 memory: 3406 2022/07/24 07:34:03 - mmengine - INFO - Epoch(val) [73][240/310] eta: 0:00:38 time: 0.5494 data_time: 0.4343 memory: 3406 2022/07/24 07:34:19 - mmengine - INFO - Epoch(val) [73][260/310] eta: 0:00:39 time: 0.7855 data_time: 0.6696 memory: 3406 2022/07/24 07:34:30 - mmengine - INFO - Epoch(val) [73][280/310] eta: 0:00:17 time: 0.5686 data_time: 0.4550 memory: 3406 2022/07/24 07:34:45 - mmengine - INFO - Epoch(val) [73][300/310] eta: 0:00:07 time: 0.7440 data_time: 0.6293 memory: 3406 2022/07/24 07:34:49 - mmengine - INFO - Epoch(val) [73][310/310] acc/top1: 0.6803 acc/top5: 0.8740 acc/mean1: 0.6802 2022/07/24 07:35:08 - mmengine - INFO - Epoch(train) [74][20/3757] lr: 1.0000e-03 eta: 18:48:21 time: 0.9141 data_time: 0.4817 memory: 17350 grad_norm: 7.9259 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3702 loss: 1.3702 2022/07/24 07:35:20 - mmengine - INFO - Epoch(train) [74][40/3757] lr: 1.0000e-03 eta: 18:48:07 time: 0.6004 data_time: 0.2400 memory: 17350 grad_norm: 7.8825 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1979 loss: 1.1979 2022/07/24 07:35:35 - mmengine - INFO - Epoch(train) [74][60/3757] lr: 1.0000e-03 eta: 18:47:54 time: 0.7505 data_time: 0.4165 memory: 17350 grad_norm: 7.7817 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1292 loss: 1.1292 2022/07/24 07:35:48 - mmengine - INFO - Epoch(train) [74][80/3757] lr: 1.0000e-03 eta: 18:47:41 time: 0.6370 data_time: 0.2973 memory: 17350 grad_norm: 8.3002 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9219 loss: 0.9219 2022/07/24 07:36:02 - mmengine - INFO - Epoch(train) [74][100/3757] lr: 1.0000e-03 eta: 18:47:28 time: 0.7279 data_time: 0.3100 memory: 17350 grad_norm: 8.0942 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0536 loss: 1.0536 2022/07/24 07:36:14 - mmengine - INFO - Epoch(train) [74][120/3757] lr: 1.0000e-03 eta: 18:47:14 time: 0.5836 data_time: 0.2196 memory: 17350 grad_norm: 8.1614 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0860 loss: 1.0860 2022/07/24 07:36:29 - mmengine - INFO - Epoch(train) [74][140/3757] lr: 1.0000e-03 eta: 18:47:01 time: 0.7547 data_time: 0.4128 memory: 17350 grad_norm: 8.0117 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2234 loss: 1.2234 2022/07/24 07:36:41 - mmengine - INFO - Epoch(train) [74][160/3757] lr: 1.0000e-03 eta: 18:46:47 time: 0.5888 data_time: 0.2570 memory: 17350 grad_norm: 7.9240 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1774 loss: 1.1774 2022/07/24 07:36:55 - mmengine - INFO - Epoch(train) [74][180/3757] lr: 1.0000e-03 eta: 18:46:34 time: 0.7120 data_time: 0.3727 memory: 17350 grad_norm: 8.0623 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0209 loss: 1.0209 2022/07/24 07:37:08 - mmengine - INFO - Epoch(train) [74][200/3757] lr: 1.0000e-03 eta: 18:46:21 time: 0.6421 data_time: 0.2509 memory: 17350 grad_norm: 8.1600 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2027 loss: 1.2027 2022/07/24 07:37:23 - mmengine - INFO - Epoch(train) [74][220/3757] lr: 1.0000e-03 eta: 18:46:08 time: 0.7371 data_time: 0.2040 memory: 17350 grad_norm: 7.8859 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2429 loss: 1.2429 2022/07/24 07:37:35 - mmengine - INFO - Epoch(train) [74][240/3757] lr: 1.0000e-03 eta: 18:45:54 time: 0.5965 data_time: 0.1511 memory: 17350 grad_norm: 8.3807 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2080 loss: 1.2080 2022/07/24 07:37:49 - mmengine - INFO - Epoch(train) [74][260/3757] lr: 1.0000e-03 eta: 18:45:41 time: 0.7377 data_time: 0.1902 memory: 17350 grad_norm: 7.8379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8178 loss: 0.8178 2022/07/24 07:38:01 - mmengine - INFO - Epoch(train) [74][280/3757] lr: 1.0000e-03 eta: 18:45:27 time: 0.5811 data_time: 0.1118 memory: 17350 grad_norm: 8.0965 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0495 loss: 1.0495 2022/07/24 07:38:16 - mmengine - INFO - Epoch(train) [74][300/3757] lr: 1.0000e-03 eta: 18:45:14 time: 0.7377 data_time: 0.0851 memory: 17350 grad_norm: 8.1709 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0526 loss: 1.0526 2022/07/24 07:38:28 - mmengine - INFO - Epoch(train) [74][320/3757] lr: 1.0000e-03 eta: 18:45:01 time: 0.6348 data_time: 0.0397 memory: 17350 grad_norm: 8.2550 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1498 loss: 1.1498 2022/07/24 07:38:43 - mmengine - INFO - Epoch(train) [74][340/3757] lr: 1.0000e-03 eta: 18:44:48 time: 0.7122 data_time: 0.0356 memory: 17350 grad_norm: 7.8804 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0786 loss: 1.0786 2022/07/24 07:38:55 - mmengine - INFO - Epoch(train) [74][360/3757] lr: 1.0000e-03 eta: 18:44:34 time: 0.5987 data_time: 0.0570 memory: 17350 grad_norm: 8.3029 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0162 loss: 1.0162 2022/07/24 07:39:10 - mmengine - INFO - Epoch(train) [74][380/3757] lr: 1.0000e-03 eta: 18:44:21 time: 0.7433 data_time: 0.0645 memory: 17350 grad_norm: 8.1331 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1274 loss: 1.1274 2022/07/24 07:39:22 - mmengine - INFO - Epoch(train) [74][400/3757] lr: 1.0000e-03 eta: 18:44:07 time: 0.6069 data_time: 0.0216 memory: 17350 grad_norm: 8.6263 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4474 loss: 1.4474 2022/07/24 07:39:37 - mmengine - INFO - Epoch(train) [74][420/3757] lr: 1.0000e-03 eta: 18:43:55 time: 0.7513 data_time: 0.0218 memory: 17350 grad_norm: 8.5064 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2051 loss: 1.2051 2022/07/24 07:39:48 - mmengine - INFO - Epoch(train) [74][440/3757] lr: 1.0000e-03 eta: 18:43:41 time: 0.5766 data_time: 0.0516 memory: 17350 grad_norm: 8.1366 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3151 loss: 1.3151 2022/07/24 07:40:03 - mmengine - INFO - Epoch(train) [74][460/3757] lr: 1.0000e-03 eta: 18:43:28 time: 0.7202 data_time: 0.1553 memory: 17350 grad_norm: 8.1409 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1434 loss: 1.1434 2022/07/24 07:40:15 - mmengine - INFO - Epoch(train) [74][480/3757] lr: 1.0000e-03 eta: 18:43:14 time: 0.6130 data_time: 0.1881 memory: 17350 grad_norm: 8.0472 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0728 loss: 1.0728 2022/07/24 07:40:30 - mmengine - INFO - Epoch(train) [74][500/3757] lr: 1.0000e-03 eta: 18:43:01 time: 0.7481 data_time: 0.2822 memory: 17350 grad_norm: 8.0170 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9643 loss: 0.9643 2022/07/24 07:40:42 - mmengine - INFO - Epoch(train) [74][520/3757] lr: 1.0000e-03 eta: 18:42:47 time: 0.6054 data_time: 0.1706 memory: 17350 grad_norm: 8.0951 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0643 loss: 1.0643 2022/07/24 07:40:57 - mmengine - INFO - Epoch(train) [74][540/3757] lr: 1.0000e-03 eta: 18:42:35 time: 0.7431 data_time: 0.0730 memory: 17350 grad_norm: 7.8976 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2724 loss: 1.2724 2022/07/24 07:41:09 - mmengine - INFO - Epoch(train) [74][560/3757] lr: 1.0000e-03 eta: 18:42:21 time: 0.6072 data_time: 0.0748 memory: 17350 grad_norm: 8.2795 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0678 loss: 1.0678 2022/07/24 07:41:23 - mmengine - INFO - Epoch(train) [74][580/3757] lr: 1.0000e-03 eta: 18:42:08 time: 0.6904 data_time: 0.1391 memory: 17350 grad_norm: 8.0166 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8578 loss: 0.8578 2022/07/24 07:41:35 - mmengine - INFO - Epoch(train) [74][600/3757] lr: 1.0000e-03 eta: 18:41:54 time: 0.6130 data_time: 0.0728 memory: 17350 grad_norm: 8.1701 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2072 loss: 1.2072 2022/07/24 07:41:50 - mmengine - INFO - Epoch(train) [74][620/3757] lr: 1.0000e-03 eta: 18:41:41 time: 0.7143 data_time: 0.1279 memory: 17350 grad_norm: 7.9805 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2090 loss: 1.2090 2022/07/24 07:42:02 - mmengine - INFO - Epoch(train) [74][640/3757] lr: 1.0000e-03 eta: 18:41:27 time: 0.5964 data_time: 0.1706 memory: 17350 grad_norm: 8.2455 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1088 loss: 1.1088 2022/07/24 07:42:16 - mmengine - INFO - Epoch(train) [74][660/3757] lr: 1.0000e-03 eta: 18:41:14 time: 0.7445 data_time: 0.2654 memory: 17350 grad_norm: 8.3163 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3204 loss: 1.3204 2022/07/24 07:42:28 - mmengine - INFO - Epoch(train) [74][680/3757] lr: 1.0000e-03 eta: 18:41:00 time: 0.5933 data_time: 0.1556 memory: 17350 grad_norm: 7.6933 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0828 loss: 1.0828 2022/07/24 07:42:43 - mmengine - INFO - Epoch(train) [74][700/3757] lr: 1.0000e-03 eta: 18:40:47 time: 0.7163 data_time: 0.3430 memory: 17350 grad_norm: 7.9316 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0944 loss: 1.0944 2022/07/24 07:42:56 - mmengine - INFO - Epoch(train) [74][720/3757] lr: 1.0000e-03 eta: 18:40:34 time: 0.6438 data_time: 0.3071 memory: 17350 grad_norm: 7.9870 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1205 loss: 1.1205 2022/07/24 07:43:10 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 07:43:10 - mmengine - INFO - Epoch(train) [74][740/3757] lr: 1.0000e-03 eta: 18:40:21 time: 0.7361 data_time: 0.3967 memory: 17350 grad_norm: 8.3659 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4137 loss: 1.4137 2022/07/24 07:43:22 - mmengine - INFO - Epoch(train) [74][760/3757] lr: 1.0000e-03 eta: 18:40:07 time: 0.5827 data_time: 0.2408 memory: 17350 grad_norm: 8.0757 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9056 loss: 0.9056 2022/07/24 07:43:37 - mmengine - INFO - Epoch(train) [74][780/3757] lr: 1.0000e-03 eta: 18:39:54 time: 0.7633 data_time: 0.3091 memory: 17350 grad_norm: 7.8055 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9616 loss: 0.9616 2022/07/24 07:43:48 - mmengine - INFO - Epoch(train) [74][800/3757] lr: 1.0000e-03 eta: 18:39:40 time: 0.5574 data_time: 0.1509 memory: 17350 grad_norm: 8.3727 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8827 loss: 0.8827 2022/07/24 07:44:03 - mmengine - INFO - Epoch(train) [74][820/3757] lr: 1.0000e-03 eta: 18:39:27 time: 0.7193 data_time: 0.3248 memory: 17350 grad_norm: 8.0168 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0131 loss: 1.0131 2022/07/24 07:44:15 - mmengine - INFO - Epoch(train) [74][840/3757] lr: 1.0000e-03 eta: 18:39:13 time: 0.5986 data_time: 0.1931 memory: 17350 grad_norm: 8.2652 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1461 loss: 1.1461 2022/07/24 07:44:28 - mmengine - INFO - Epoch(train) [74][860/3757] lr: 1.0000e-03 eta: 18:39:00 time: 0.6837 data_time: 0.3205 memory: 17350 grad_norm: 8.0324 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0815 loss: 1.0815 2022/07/24 07:44:40 - mmengine - INFO - Epoch(train) [74][880/3757] lr: 1.0000e-03 eta: 18:38:46 time: 0.5819 data_time: 0.2370 memory: 17350 grad_norm: 8.0791 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1702 loss: 1.1702 2022/07/24 07:44:55 - mmengine - INFO - Epoch(train) [74][900/3757] lr: 1.0000e-03 eta: 18:38:33 time: 0.7292 data_time: 0.3020 memory: 17350 grad_norm: 8.1503 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9359 loss: 0.9359 2022/07/24 07:45:08 - mmengine - INFO - Epoch(train) [74][920/3757] lr: 1.0000e-03 eta: 18:38:20 time: 0.6541 data_time: 0.2128 memory: 17350 grad_norm: 8.1028 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0215 loss: 1.0215 2022/07/24 07:45:23 - mmengine - INFO - Epoch(train) [74][940/3757] lr: 1.0000e-03 eta: 18:38:07 time: 0.7625 data_time: 0.0805 memory: 17350 grad_norm: 7.8596 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3590 loss: 1.3590 2022/07/24 07:45:35 - mmengine - INFO - Epoch(train) [74][960/3757] lr: 1.0000e-03 eta: 18:37:53 time: 0.6119 data_time: 0.0360 memory: 17350 grad_norm: 8.1069 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1388 loss: 1.1388 2022/07/24 07:45:51 - mmengine - INFO - Epoch(train) [74][980/3757] lr: 1.0000e-03 eta: 18:37:41 time: 0.7720 data_time: 0.0252 memory: 17350 grad_norm: 8.0924 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1040 loss: 1.1040 2022/07/24 07:46:02 - mmengine - INFO - Epoch(train) [74][1000/3757] lr: 1.0000e-03 eta: 18:37:27 time: 0.5721 data_time: 0.0239 memory: 17350 grad_norm: 8.0944 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2436 loss: 1.2436 2022/07/24 07:46:17 - mmengine - INFO - Epoch(train) [74][1020/3757] lr: 1.0000e-03 eta: 18:37:14 time: 0.7325 data_time: 0.0204 memory: 17350 grad_norm: 8.5057 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5155 loss: 1.5155 2022/07/24 07:46:29 - mmengine - INFO - Epoch(train) [74][1040/3757] lr: 1.0000e-03 eta: 18:37:00 time: 0.5813 data_time: 0.0521 memory: 17350 grad_norm: 8.1138 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2684 loss: 1.2684 2022/07/24 07:46:43 - mmengine - INFO - Epoch(train) [74][1060/3757] lr: 1.0000e-03 eta: 18:36:47 time: 0.7292 data_time: 0.0709 memory: 17350 grad_norm: 7.8227 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9532 loss: 0.9532 2022/07/24 07:46:56 - mmengine - INFO - Epoch(train) [74][1080/3757] lr: 1.0000e-03 eta: 18:36:33 time: 0.6173 data_time: 0.0276 memory: 17350 grad_norm: 8.2654 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0924 loss: 1.0924 2022/07/24 07:47:09 - mmengine - INFO - Epoch(train) [74][1100/3757] lr: 1.0000e-03 eta: 18:36:20 time: 0.6904 data_time: 0.0721 memory: 17350 grad_norm: 8.0599 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1108 loss: 1.1108 2022/07/24 07:47:22 - mmengine - INFO - Epoch(train) [74][1120/3757] lr: 1.0000e-03 eta: 18:36:06 time: 0.6098 data_time: 0.0892 memory: 17350 grad_norm: 8.5201 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1785 loss: 1.1785 2022/07/24 07:47:36 - mmengine - INFO - Epoch(train) [74][1140/3757] lr: 1.0000e-03 eta: 18:35:53 time: 0.7111 data_time: 0.0569 memory: 17350 grad_norm: 8.1078 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0480 loss: 1.0480 2022/07/24 07:47:48 - mmengine - INFO - Epoch(train) [74][1160/3757] lr: 1.0000e-03 eta: 18:35:39 time: 0.6116 data_time: 0.0314 memory: 17350 grad_norm: 8.3076 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2879 loss: 1.2879 2022/07/24 07:48:03 - mmengine - INFO - Epoch(train) [74][1180/3757] lr: 1.0000e-03 eta: 18:35:27 time: 0.7501 data_time: 0.0208 memory: 17350 grad_norm: 8.1513 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0218 loss: 1.0218 2022/07/24 07:48:15 - mmengine - INFO - Epoch(train) [74][1200/3757] lr: 1.0000e-03 eta: 18:35:13 time: 0.5788 data_time: 0.0208 memory: 17350 grad_norm: 7.9251 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0341 loss: 1.0341 2022/07/24 07:48:29 - mmengine - INFO - Epoch(train) [74][1220/3757] lr: 1.0000e-03 eta: 18:35:00 time: 0.7028 data_time: 0.0263 memory: 17350 grad_norm: 8.2515 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1231 loss: 1.1231 2022/07/24 07:48:41 - mmengine - INFO - Epoch(train) [74][1240/3757] lr: 1.0000e-03 eta: 18:34:46 time: 0.5872 data_time: 0.0223 memory: 17350 grad_norm: 7.5861 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1070 loss: 1.1070 2022/07/24 07:48:55 - mmengine - INFO - Epoch(train) [74][1260/3757] lr: 1.0000e-03 eta: 18:34:33 time: 0.7360 data_time: 0.0208 memory: 17350 grad_norm: 7.8821 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0601 loss: 1.0601 2022/07/24 07:49:08 - mmengine - INFO - Epoch(train) [74][1280/3757] lr: 1.0000e-03 eta: 18:34:19 time: 0.6278 data_time: 0.0852 memory: 17350 grad_norm: 8.2212 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0488 loss: 1.0488 2022/07/24 07:49:21 - mmengine - INFO - Epoch(train) [74][1300/3757] lr: 1.0000e-03 eta: 18:34:06 time: 0.6770 data_time: 0.0803 memory: 17350 grad_norm: 7.8286 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9551 loss: 0.9551 2022/07/24 07:49:35 - mmengine - INFO - Epoch(train) [74][1320/3757] lr: 1.0000e-03 eta: 18:33:53 time: 0.6838 data_time: 0.1810 memory: 17350 grad_norm: 8.2348 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2670 loss: 1.2670 2022/07/24 07:49:49 - mmengine - INFO - Epoch(train) [74][1340/3757] lr: 1.0000e-03 eta: 18:33:39 time: 0.6864 data_time: 0.1827 memory: 17350 grad_norm: 8.2682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0926 loss: 1.0926 2022/07/24 07:50:02 - mmengine - INFO - Epoch(train) [74][1360/3757] lr: 1.0000e-03 eta: 18:33:26 time: 0.6349 data_time: 0.1228 memory: 17350 grad_norm: 8.3937 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2648 loss: 1.2648 2022/07/24 07:50:16 - mmengine - INFO - Epoch(train) [74][1380/3757] lr: 1.0000e-03 eta: 18:33:13 time: 0.7034 data_time: 0.0704 memory: 17350 grad_norm: 8.3026 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0243 loss: 1.0243 2022/07/24 07:50:29 - mmengine - INFO - Epoch(train) [74][1400/3757] lr: 1.0000e-03 eta: 18:32:59 time: 0.6611 data_time: 0.1417 memory: 17350 grad_norm: 8.1166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0940 loss: 1.0940 2022/07/24 07:50:43 - mmengine - INFO - Epoch(train) [74][1420/3757] lr: 1.0000e-03 eta: 18:32:46 time: 0.6849 data_time: 0.1288 memory: 17350 grad_norm: 8.3548 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2114 loss: 1.2114 2022/07/24 07:50:57 - mmengine - INFO - Epoch(train) [74][1440/3757] lr: 1.0000e-03 eta: 18:32:33 time: 0.7170 data_time: 0.2483 memory: 17350 grad_norm: 8.1180 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2120 loss: 1.2120 2022/07/24 07:51:09 - mmengine - INFO - Epoch(train) [74][1460/3757] lr: 1.0000e-03 eta: 18:32:19 time: 0.6084 data_time: 0.2109 memory: 17350 grad_norm: 8.3746 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2354 loss: 1.2354 2022/07/24 07:51:22 - mmengine - INFO - Epoch(train) [74][1480/3757] lr: 1.0000e-03 eta: 18:32:06 time: 0.6588 data_time: 0.2303 memory: 17350 grad_norm: 8.5788 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0669 loss: 1.0669 2022/07/24 07:51:35 - mmengine - INFO - Epoch(train) [74][1500/3757] lr: 1.0000e-03 eta: 18:31:52 time: 0.6471 data_time: 0.1577 memory: 17350 grad_norm: 8.2263 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0272 loss: 1.0272 2022/07/24 07:51:49 - mmengine - INFO - Epoch(train) [74][1520/3757] lr: 1.0000e-03 eta: 18:31:39 time: 0.6731 data_time: 0.2327 memory: 17350 grad_norm: 8.1820 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0995 loss: 1.0995 2022/07/24 07:52:02 - mmengine - INFO - Epoch(train) [74][1540/3757] lr: 1.0000e-03 eta: 18:31:26 time: 0.6700 data_time: 0.1030 memory: 17350 grad_norm: 8.1856 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3231 loss: 1.3231 2022/07/24 07:52:15 - mmengine - INFO - Epoch(train) [74][1560/3757] lr: 1.0000e-03 eta: 18:31:12 time: 0.6289 data_time: 0.1118 memory: 17350 grad_norm: 8.2467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3144 loss: 1.3144 2022/07/24 07:52:30 - mmengine - INFO - Epoch(train) [74][1580/3757] lr: 1.0000e-03 eta: 18:30:59 time: 0.7390 data_time: 0.0401 memory: 17350 grad_norm: 8.2169 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3086 loss: 1.3086 2022/07/24 07:52:41 - mmengine - INFO - Epoch(train) [74][1600/3757] lr: 1.0000e-03 eta: 18:30:45 time: 0.5933 data_time: 0.0249 memory: 17350 grad_norm: 8.4316 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9695 loss: 0.9695 2022/07/24 07:52:56 - mmengine - INFO - Epoch(train) [74][1620/3757] lr: 1.0000e-03 eta: 18:30:32 time: 0.7155 data_time: 0.0227 memory: 17350 grad_norm: 8.4775 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0239 loss: 1.0239 2022/07/24 07:53:09 - mmengine - INFO - Epoch(train) [74][1640/3757] lr: 1.0000e-03 eta: 18:30:19 time: 0.6393 data_time: 0.0228 memory: 17350 grad_norm: 8.4494 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1081 loss: 1.1081 2022/07/24 07:53:24 - mmengine - INFO - Epoch(train) [74][1660/3757] lr: 1.0000e-03 eta: 18:30:06 time: 0.7490 data_time: 0.0222 memory: 17350 grad_norm: 8.4128 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3955 loss: 1.3955 2022/07/24 07:53:35 - mmengine - INFO - Epoch(train) [74][1680/3757] lr: 1.0000e-03 eta: 18:29:52 time: 0.5774 data_time: 0.0246 memory: 17350 grad_norm: 8.0720 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1629 loss: 1.1629 2022/07/24 07:53:50 - mmengine - INFO - Epoch(train) [74][1700/3757] lr: 1.0000e-03 eta: 18:29:39 time: 0.7361 data_time: 0.0227 memory: 17350 grad_norm: 8.4625 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2146 loss: 1.2146 2022/07/24 07:54:02 - mmengine - INFO - Epoch(train) [74][1720/3757] lr: 1.0000e-03 eta: 18:29:25 time: 0.5869 data_time: 0.0230 memory: 17350 grad_norm: 8.2329 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8787 loss: 0.8787 2022/07/24 07:54:15 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 07:54:16 - mmengine - INFO - Epoch(train) [74][1740/3757] lr: 1.0000e-03 eta: 18:29:12 time: 0.7079 data_time: 0.0232 memory: 17350 grad_norm: 8.3694 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0656 loss: 1.0656 2022/07/24 07:54:28 - mmengine - INFO - Epoch(train) [74][1760/3757] lr: 1.0000e-03 eta: 18:28:58 time: 0.6022 data_time: 0.0215 memory: 17350 grad_norm: 7.9640 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2098 loss: 1.2098 2022/07/24 07:54:42 - mmengine - INFO - Epoch(train) [74][1780/3757] lr: 1.0000e-03 eta: 18:28:46 time: 0.7210 data_time: 0.0200 memory: 17350 grad_norm: 8.0642 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1824 loss: 1.1824 2022/07/24 07:54:55 - mmengine - INFO - Epoch(train) [74][1800/3757] lr: 1.0000e-03 eta: 18:28:32 time: 0.6284 data_time: 0.0223 memory: 17350 grad_norm: 8.5620 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3251 loss: 1.3251 2022/07/24 07:55:10 - mmengine - INFO - Epoch(train) [74][1820/3757] lr: 1.0000e-03 eta: 18:28:19 time: 0.7358 data_time: 0.0253 memory: 17350 grad_norm: 8.1939 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1712 loss: 1.1712 2022/07/24 07:55:21 - mmengine - INFO - Epoch(train) [74][1840/3757] lr: 1.0000e-03 eta: 18:28:05 time: 0.5881 data_time: 0.0223 memory: 17350 grad_norm: 8.0212 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9791 loss: 0.9791 2022/07/24 07:55:35 - mmengine - INFO - Epoch(train) [74][1860/3757] lr: 1.0000e-03 eta: 18:27:52 time: 0.7037 data_time: 0.0266 memory: 17350 grad_norm: 8.4475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1338 loss: 1.1338 2022/07/24 07:55:47 - mmengine - INFO - Epoch(train) [74][1880/3757] lr: 1.0000e-03 eta: 18:27:38 time: 0.5903 data_time: 0.0235 memory: 17350 grad_norm: 8.3359 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9961 loss: 0.9961 2022/07/24 07:56:02 - mmengine - INFO - Epoch(train) [74][1900/3757] lr: 1.0000e-03 eta: 18:27:25 time: 0.7384 data_time: 0.0214 memory: 17350 grad_norm: 8.3715 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1104 loss: 1.1104 2022/07/24 07:56:14 - mmengine - INFO - Epoch(train) [74][1920/3757] lr: 1.0000e-03 eta: 18:27:11 time: 0.5934 data_time: 0.0224 memory: 17350 grad_norm: 8.1163 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3160 loss: 1.3160 2022/07/24 07:56:29 - mmengine - INFO - Epoch(train) [74][1940/3757] lr: 1.0000e-03 eta: 18:26:59 time: 0.7549 data_time: 0.0226 memory: 17350 grad_norm: 8.3380 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3535 loss: 1.3535 2022/07/24 07:56:41 - mmengine - INFO - Epoch(train) [74][1960/3757] lr: 1.0000e-03 eta: 18:26:45 time: 0.5823 data_time: 0.0217 memory: 17350 grad_norm: 8.3976 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.0540 loss: 1.0540 2022/07/24 07:56:55 - mmengine - INFO - Epoch(train) [74][1980/3757] lr: 1.0000e-03 eta: 18:26:32 time: 0.7156 data_time: 0.0219 memory: 17350 grad_norm: 8.3338 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2947 loss: 1.2947 2022/07/24 07:57:07 - mmengine - INFO - Epoch(train) [74][2000/3757] lr: 1.0000e-03 eta: 18:26:18 time: 0.5973 data_time: 0.0240 memory: 17350 grad_norm: 8.3338 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1019 loss: 1.1019 2022/07/24 07:57:22 - mmengine - INFO - Epoch(train) [74][2020/3757] lr: 1.0000e-03 eta: 18:26:05 time: 0.7278 data_time: 0.0218 memory: 17350 grad_norm: 7.9682 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8335 loss: 0.8335 2022/07/24 07:57:34 - mmengine - INFO - Epoch(train) [74][2040/3757] lr: 1.0000e-03 eta: 18:25:51 time: 0.6373 data_time: 0.0221 memory: 17350 grad_norm: 7.7317 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2170 loss: 1.2170 2022/07/24 07:57:49 - mmengine - INFO - Epoch(train) [74][2060/3757] lr: 1.0000e-03 eta: 18:25:38 time: 0.7291 data_time: 0.0230 memory: 17350 grad_norm: 8.1304 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0208 loss: 1.0208 2022/07/24 07:58:02 - mmengine - INFO - Epoch(train) [74][2080/3757] lr: 1.0000e-03 eta: 18:25:25 time: 0.6329 data_time: 0.0214 memory: 17350 grad_norm: 8.4365 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3598 loss: 1.3598 2022/07/24 07:58:16 - mmengine - INFO - Epoch(train) [74][2100/3757] lr: 1.0000e-03 eta: 18:25:12 time: 0.7226 data_time: 0.0230 memory: 17350 grad_norm: 8.3763 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3974 loss: 1.3974 2022/07/24 07:58:28 - mmengine - INFO - Epoch(train) [74][2120/3757] lr: 1.0000e-03 eta: 18:24:58 time: 0.6145 data_time: 0.0215 memory: 17350 grad_norm: 7.9492 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8911 loss: 0.8911 2022/07/24 07:58:43 - mmengine - INFO - Epoch(train) [74][2140/3757] lr: 1.0000e-03 eta: 18:24:45 time: 0.7226 data_time: 0.0221 memory: 17350 grad_norm: 8.1211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0946 loss: 1.0946 2022/07/24 07:58:55 - mmengine - INFO - Epoch(train) [74][2160/3757] lr: 1.0000e-03 eta: 18:24:32 time: 0.6270 data_time: 0.0189 memory: 17350 grad_norm: 7.9950 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0139 loss: 1.0139 2022/07/24 07:59:09 - mmengine - INFO - Epoch(train) [74][2180/3757] lr: 1.0000e-03 eta: 18:24:18 time: 0.6656 data_time: 0.0233 memory: 17350 grad_norm: 7.5960 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1336 loss: 1.1336 2022/07/24 07:59:22 - mmengine - INFO - Epoch(train) [74][2200/3757] lr: 1.0000e-03 eta: 18:24:05 time: 0.6524 data_time: 0.0215 memory: 17350 grad_norm: 8.2280 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0793 loss: 1.0793 2022/07/24 07:59:36 - mmengine - INFO - Epoch(train) [74][2220/3757] lr: 1.0000e-03 eta: 18:23:52 time: 0.6985 data_time: 0.0264 memory: 17350 grad_norm: 8.1349 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9302 loss: 0.9302 2022/07/24 07:59:48 - mmengine - INFO - Epoch(train) [74][2240/3757] lr: 1.0000e-03 eta: 18:23:38 time: 0.6220 data_time: 0.0232 memory: 17350 grad_norm: 8.3483 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3423 loss: 1.3423 2022/07/24 08:00:03 - mmengine - INFO - Epoch(train) [74][2260/3757] lr: 1.0000e-03 eta: 18:23:25 time: 0.7213 data_time: 0.0212 memory: 17350 grad_norm: 7.8597 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0479 loss: 1.0479 2022/07/24 08:00:16 - mmengine - INFO - Epoch(train) [74][2280/3757] lr: 1.0000e-03 eta: 18:23:11 time: 0.6407 data_time: 0.0265 memory: 17350 grad_norm: 8.0778 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0686 loss: 1.0686 2022/07/24 08:00:29 - mmengine - INFO - Epoch(train) [74][2300/3757] lr: 1.0000e-03 eta: 18:22:58 time: 0.6913 data_time: 0.0228 memory: 17350 grad_norm: 8.1886 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9960 loss: 0.9960 2022/07/24 08:00:42 - mmengine - INFO - Epoch(train) [74][2320/3757] lr: 1.0000e-03 eta: 18:22:45 time: 0.6388 data_time: 0.0215 memory: 17350 grad_norm: 8.1982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0363 loss: 1.0363 2022/07/24 08:00:56 - mmengine - INFO - Epoch(train) [74][2340/3757] lr: 1.0000e-03 eta: 18:22:31 time: 0.6746 data_time: 0.0219 memory: 17350 grad_norm: 8.4447 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8883 loss: 0.8883 2022/07/24 08:01:08 - mmengine - INFO - Epoch(train) [74][2360/3757] lr: 1.0000e-03 eta: 18:22:18 time: 0.6145 data_time: 0.0246 memory: 17350 grad_norm: 8.2178 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1467 loss: 1.1467 2022/07/24 08:01:22 - mmengine - INFO - Epoch(train) [74][2380/3757] lr: 1.0000e-03 eta: 18:22:04 time: 0.6921 data_time: 0.0204 memory: 17350 grad_norm: 8.4627 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1680 loss: 1.1680 2022/07/24 08:01:35 - mmengine - INFO - Epoch(train) [74][2400/3757] lr: 1.0000e-03 eta: 18:21:51 time: 0.6486 data_time: 0.0211 memory: 17350 grad_norm: 8.0284 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9727 loss: 0.9727 2022/07/24 08:01:48 - mmengine - INFO - Epoch(train) [74][2420/3757] lr: 1.0000e-03 eta: 18:21:38 time: 0.6691 data_time: 0.0239 memory: 17350 grad_norm: 8.2170 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0185 loss: 1.0185 2022/07/24 08:02:01 - mmengine - INFO - Epoch(train) [74][2440/3757] lr: 1.0000e-03 eta: 18:21:24 time: 0.6422 data_time: 0.0256 memory: 17350 grad_norm: 8.1260 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3366 loss: 1.3366 2022/07/24 08:02:14 - mmengine - INFO - Epoch(train) [74][2460/3757] lr: 1.0000e-03 eta: 18:21:11 time: 0.6412 data_time: 0.0208 memory: 17350 grad_norm: 8.5228 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5162 loss: 1.5162 2022/07/24 08:02:28 - mmengine - INFO - Epoch(train) [74][2480/3757] lr: 1.0000e-03 eta: 18:20:58 time: 0.7102 data_time: 0.0214 memory: 17350 grad_norm: 7.7909 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1357 loss: 1.1357 2022/07/24 08:02:41 - mmengine - INFO - Epoch(train) [74][2500/3757] lr: 1.0000e-03 eta: 18:20:44 time: 0.6497 data_time: 0.0256 memory: 17350 grad_norm: 8.0028 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0088 loss: 1.0088 2022/07/24 08:02:54 - mmengine - INFO - Epoch(train) [74][2520/3757] lr: 1.0000e-03 eta: 18:20:31 time: 0.6549 data_time: 0.0212 memory: 17350 grad_norm: 7.9389 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0675 loss: 1.0675 2022/07/24 08:03:07 - mmengine - INFO - Epoch(train) [74][2540/3757] lr: 1.0000e-03 eta: 18:20:17 time: 0.6483 data_time: 0.0228 memory: 17350 grad_norm: 8.1569 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2259 loss: 1.2259 2022/07/24 08:03:20 - mmengine - INFO - Epoch(train) [74][2560/3757] lr: 1.0000e-03 eta: 18:20:04 time: 0.6533 data_time: 0.0239 memory: 17350 grad_norm: 8.4152 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3306 loss: 1.3306 2022/07/24 08:03:34 - mmengine - INFO - Epoch(train) [74][2580/3757] lr: 1.0000e-03 eta: 18:19:50 time: 0.6799 data_time: 0.0235 memory: 17350 grad_norm: 8.4772 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4171 loss: 1.4171 2022/07/24 08:03:47 - mmengine - INFO - Epoch(train) [74][2600/3757] lr: 1.0000e-03 eta: 18:19:37 time: 0.6459 data_time: 0.0224 memory: 17350 grad_norm: 8.4906 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1813 loss: 1.1813 2022/07/24 08:04:00 - mmengine - INFO - Epoch(train) [74][2620/3757] lr: 1.0000e-03 eta: 18:19:23 time: 0.6564 data_time: 0.0236 memory: 17350 grad_norm: 8.4015 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9681 loss: 0.9681 2022/07/24 08:04:14 - mmengine - INFO - Epoch(train) [74][2640/3757] lr: 1.0000e-03 eta: 18:19:10 time: 0.6923 data_time: 0.0209 memory: 17350 grad_norm: 8.3459 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1424 loss: 1.1424 2022/07/24 08:04:26 - mmengine - INFO - Epoch(train) [74][2660/3757] lr: 1.0000e-03 eta: 18:18:57 time: 0.6195 data_time: 0.0246 memory: 17350 grad_norm: 8.2173 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9577 loss: 0.9577 2022/07/24 08:04:40 - mmengine - INFO - Epoch(train) [74][2680/3757] lr: 1.0000e-03 eta: 18:18:43 time: 0.6712 data_time: 0.0233 memory: 17350 grad_norm: 8.2117 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1917 loss: 1.1917 2022/07/24 08:04:53 - mmengine - INFO - Epoch(train) [74][2700/3757] lr: 1.0000e-03 eta: 18:18:30 time: 0.6557 data_time: 0.0360 memory: 17350 grad_norm: 8.6182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1061 loss: 1.1061 2022/07/24 08:05:07 - mmengine - INFO - Epoch(train) [74][2720/3757] lr: 1.0000e-03 eta: 18:18:17 time: 0.6964 data_time: 0.0781 memory: 17350 grad_norm: 8.3610 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0280 loss: 1.0280 2022/07/24 08:05:19 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 08:05:20 - mmengine - INFO - Epoch(train) [74][2740/3757] lr: 1.0000e-03 eta: 18:18:03 time: 0.6751 data_time: 0.1125 memory: 17350 grad_norm: 8.2370 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1859 loss: 1.1859 2022/07/24 08:05:34 - mmengine - INFO - Epoch(train) [74][2760/3757] lr: 1.0000e-03 eta: 18:17:50 time: 0.6764 data_time: 0.0515 memory: 17350 grad_norm: 8.3629 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1313 loss: 1.1313 2022/07/24 08:05:47 - mmengine - INFO - Epoch(train) [74][2780/3757] lr: 1.0000e-03 eta: 18:17:37 time: 0.6575 data_time: 0.1183 memory: 17350 grad_norm: 8.6479 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1091 loss: 1.1091 2022/07/24 08:06:02 - mmengine - INFO - Epoch(train) [74][2800/3757] lr: 1.0000e-03 eta: 18:17:24 time: 0.7427 data_time: 0.0259 memory: 17350 grad_norm: 8.2779 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0765 loss: 1.0765 2022/07/24 08:06:14 - mmengine - INFO - Epoch(train) [74][2820/3757] lr: 1.0000e-03 eta: 18:17:10 time: 0.5995 data_time: 0.0220 memory: 17350 grad_norm: 8.2371 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1913 loss: 1.1913 2022/07/24 08:06:28 - mmengine - INFO - Epoch(train) [74][2840/3757] lr: 1.0000e-03 eta: 18:16:57 time: 0.6938 data_time: 0.0212 memory: 17350 grad_norm: 8.1717 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.1702 loss: 1.1702 2022/07/24 08:06:41 - mmengine - INFO - Epoch(train) [74][2860/3757] lr: 1.0000e-03 eta: 18:16:43 time: 0.6479 data_time: 0.0236 memory: 17350 grad_norm: 8.1612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0124 loss: 1.0124 2022/07/24 08:06:55 - mmengine - INFO - Epoch(train) [74][2880/3757] lr: 1.0000e-03 eta: 18:16:30 time: 0.6997 data_time: 0.0212 memory: 17350 grad_norm: 8.0106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1532 loss: 1.1532 2022/07/24 08:07:07 - mmengine - INFO - Epoch(train) [74][2900/3757] lr: 1.0000e-03 eta: 18:16:17 time: 0.6147 data_time: 0.0231 memory: 17350 grad_norm: 8.2991 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4877 loss: 1.4877 2022/07/24 08:07:22 - mmengine - INFO - Epoch(train) [74][2920/3757] lr: 1.0000e-03 eta: 18:16:04 time: 0.7391 data_time: 0.0241 memory: 17350 grad_norm: 8.4885 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1595 loss: 1.1595 2022/07/24 08:07:34 - mmengine - INFO - Epoch(train) [74][2940/3757] lr: 1.0000e-03 eta: 18:15:50 time: 0.6132 data_time: 0.0213 memory: 17350 grad_norm: 8.1568 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2938 loss: 1.2938 2022/07/24 08:07:49 - mmengine - INFO - Epoch(train) [74][2960/3757] lr: 1.0000e-03 eta: 18:15:37 time: 0.7221 data_time: 0.0224 memory: 17350 grad_norm: 8.3437 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0374 loss: 1.0374 2022/07/24 08:08:01 - mmengine - INFO - Epoch(train) [74][2980/3757] lr: 1.0000e-03 eta: 18:15:23 time: 0.6213 data_time: 0.0241 memory: 17350 grad_norm: 8.1289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0485 loss: 1.0485 2022/07/24 08:08:15 - mmengine - INFO - Epoch(train) [74][3000/3757] lr: 1.0000e-03 eta: 18:15:10 time: 0.7095 data_time: 0.0234 memory: 17350 grad_norm: 8.1076 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1239 loss: 1.1239 2022/07/24 08:08:28 - mmengine - INFO - Epoch(train) [74][3020/3757] lr: 1.0000e-03 eta: 18:14:57 time: 0.6141 data_time: 0.0255 memory: 17350 grad_norm: 8.3541 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1634 loss: 1.1634 2022/07/24 08:08:42 - mmengine - INFO - Epoch(train) [74][3040/3757] lr: 1.0000e-03 eta: 18:14:43 time: 0.7004 data_time: 0.0213 memory: 17350 grad_norm: 7.9910 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9922 loss: 0.9922 2022/07/24 08:08:54 - mmengine - INFO - Epoch(train) [74][3060/3757] lr: 1.0000e-03 eta: 18:14:30 time: 0.6172 data_time: 0.0213 memory: 17350 grad_norm: 8.3498 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1094 loss: 1.1094 2022/07/24 08:09:09 - mmengine - INFO - Epoch(train) [74][3080/3757] lr: 1.0000e-03 eta: 18:14:17 time: 0.7598 data_time: 0.0229 memory: 17350 grad_norm: 8.1964 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3216 loss: 1.3216 2022/07/24 08:09:21 - mmengine - INFO - Epoch(train) [74][3100/3757] lr: 1.0000e-03 eta: 18:14:03 time: 0.6042 data_time: 0.0237 memory: 17350 grad_norm: 8.2551 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1472 loss: 1.1472 2022/07/24 08:09:35 - mmengine - INFO - Epoch(train) [74][3120/3757] lr: 1.0000e-03 eta: 18:13:50 time: 0.6835 data_time: 0.0218 memory: 17350 grad_norm: 8.2326 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9603 loss: 0.9603 2022/07/24 08:09:48 - mmengine - INFO - Epoch(train) [74][3140/3757] lr: 1.0000e-03 eta: 18:13:36 time: 0.6325 data_time: 0.0221 memory: 17350 grad_norm: 8.2705 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5078 loss: 1.5078 2022/07/24 08:10:01 - mmengine - INFO - Epoch(train) [74][3160/3757] lr: 1.0000e-03 eta: 18:13:23 time: 0.6780 data_time: 0.0222 memory: 17350 grad_norm: 8.0262 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2041 loss: 1.2041 2022/07/24 08:10:15 - mmengine - INFO - Epoch(train) [74][3180/3757] lr: 1.0000e-03 eta: 18:13:10 time: 0.6842 data_time: 0.0253 memory: 17350 grad_norm: 8.5732 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3503 loss: 1.3503 2022/07/24 08:10:29 - mmengine - INFO - Epoch(train) [74][3200/3757] lr: 1.0000e-03 eta: 18:12:57 time: 0.7005 data_time: 0.0219 memory: 17350 grad_norm: 8.4404 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9912 loss: 0.9912 2022/07/24 08:10:41 - mmengine - INFO - Epoch(train) [74][3220/3757] lr: 1.0000e-03 eta: 18:12:43 time: 0.6093 data_time: 0.0235 memory: 17350 grad_norm: 8.1143 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0801 loss: 1.0801 2022/07/24 08:10:55 - mmengine - INFO - Epoch(train) [74][3240/3757] lr: 1.0000e-03 eta: 18:12:30 time: 0.7071 data_time: 0.0203 memory: 17350 grad_norm: 8.1551 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0720 loss: 1.0720 2022/07/24 08:11:08 - mmengine - INFO - Epoch(train) [74][3260/3757] lr: 1.0000e-03 eta: 18:12:16 time: 0.6067 data_time: 0.0244 memory: 17350 grad_norm: 8.1148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1038 loss: 1.1038 2022/07/24 08:11:21 - mmengine - INFO - Epoch(train) [74][3280/3757] lr: 1.0000e-03 eta: 18:12:03 time: 0.6904 data_time: 0.0232 memory: 17350 grad_norm: 8.0731 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0215 loss: 1.0215 2022/07/24 08:11:34 - mmengine - INFO - Epoch(train) [74][3300/3757] lr: 1.0000e-03 eta: 18:11:49 time: 0.6423 data_time: 0.0233 memory: 17350 grad_norm: 8.4389 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0925 loss: 1.0925 2022/07/24 08:11:47 - mmengine - INFO - Epoch(train) [74][3320/3757] lr: 1.0000e-03 eta: 18:11:36 time: 0.6448 data_time: 0.0435 memory: 17350 grad_norm: 8.0231 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9472 loss: 0.9472 2022/07/24 08:12:01 - mmengine - INFO - Epoch(train) [74][3340/3757] lr: 1.0000e-03 eta: 18:11:23 time: 0.6775 data_time: 0.1762 memory: 17350 grad_norm: 8.1024 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1890 loss: 1.1890 2022/07/24 08:12:13 - mmengine - INFO - Epoch(train) [74][3360/3757] lr: 1.0000e-03 eta: 18:11:09 time: 0.6279 data_time: 0.0862 memory: 17350 grad_norm: 8.4659 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1614 loss: 1.1614 2022/07/24 08:12:27 - mmengine - INFO - Epoch(train) [74][3380/3757] lr: 1.0000e-03 eta: 18:10:56 time: 0.6854 data_time: 0.0547 memory: 17350 grad_norm: 8.3300 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0563 loss: 1.0563 2022/07/24 08:12:41 - mmengine - INFO - Epoch(train) [74][3400/3757] lr: 1.0000e-03 eta: 18:10:43 time: 0.7047 data_time: 0.0222 memory: 17350 grad_norm: 8.2989 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3303 loss: 1.3303 2022/07/24 08:12:53 - mmengine - INFO - Epoch(train) [74][3420/3757] lr: 1.0000e-03 eta: 18:10:29 time: 0.6076 data_time: 0.0223 memory: 17350 grad_norm: 8.2782 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0551 loss: 1.0551 2022/07/24 08:13:08 - mmengine - INFO - Epoch(train) [74][3440/3757] lr: 1.0000e-03 eta: 18:10:16 time: 0.7438 data_time: 0.0215 memory: 17350 grad_norm: 8.1653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2619 loss: 1.2619 2022/07/24 08:13:20 - mmengine - INFO - Epoch(train) [74][3460/3757] lr: 1.0000e-03 eta: 18:10:02 time: 0.6133 data_time: 0.0231 memory: 17350 grad_norm: 8.4743 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1766 loss: 1.1766 2022/07/24 08:13:34 - mmengine - INFO - Epoch(train) [74][3480/3757] lr: 1.0000e-03 eta: 18:09:49 time: 0.6824 data_time: 0.0228 memory: 17350 grad_norm: 8.4925 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0046 loss: 1.0046 2022/07/24 08:13:47 - mmengine - INFO - Epoch(train) [74][3500/3757] lr: 1.0000e-03 eta: 18:09:35 time: 0.6260 data_time: 0.0217 memory: 17350 grad_norm: 8.3638 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1136 loss: 1.1136 2022/07/24 08:14:02 - mmengine - INFO - Epoch(train) [74][3520/3757] lr: 1.0000e-03 eta: 18:09:23 time: 0.7463 data_time: 0.0249 memory: 17350 grad_norm: 8.5257 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9929 loss: 0.9929 2022/07/24 08:14:14 - mmengine - INFO - Epoch(train) [74][3540/3757] lr: 1.0000e-03 eta: 18:09:09 time: 0.6093 data_time: 0.0210 memory: 17350 grad_norm: 8.0436 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9050 loss: 0.9050 2022/07/24 08:14:28 - mmengine - INFO - Epoch(train) [74][3560/3757] lr: 1.0000e-03 eta: 18:08:56 time: 0.7342 data_time: 0.0235 memory: 17350 grad_norm: 8.1128 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9956 loss: 0.9956 2022/07/24 08:14:40 - mmengine - INFO - Epoch(train) [74][3580/3757] lr: 1.0000e-03 eta: 18:08:42 time: 0.5955 data_time: 0.0250 memory: 17350 grad_norm: 7.8946 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1599 loss: 1.1599 2022/07/24 08:14:54 - mmengine - INFO - Epoch(train) [74][3600/3757] lr: 1.0000e-03 eta: 18:08:29 time: 0.6910 data_time: 0.0215 memory: 17350 grad_norm: 8.0956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1160 loss: 1.1160 2022/07/24 08:15:07 - mmengine - INFO - Epoch(train) [74][3620/3757] lr: 1.0000e-03 eta: 18:08:15 time: 0.6306 data_time: 0.0229 memory: 17350 grad_norm: 8.2171 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3697 loss: 1.3697 2022/07/24 08:15:22 - mmengine - INFO - Epoch(train) [74][3640/3757] lr: 1.0000e-03 eta: 18:08:03 time: 0.7463 data_time: 0.0224 memory: 17350 grad_norm: 8.1423 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4106 loss: 1.4106 2022/07/24 08:15:34 - mmengine - INFO - Epoch(train) [74][3660/3757] lr: 1.0000e-03 eta: 18:07:49 time: 0.5890 data_time: 0.0217 memory: 17350 grad_norm: 8.1848 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0174 loss: 1.0174 2022/07/24 08:15:49 - mmengine - INFO - Epoch(train) [74][3680/3757] lr: 1.0000e-03 eta: 18:07:36 time: 0.7640 data_time: 0.0255 memory: 17350 grad_norm: 8.3492 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2287 loss: 1.2287 2022/07/24 08:16:01 - mmengine - INFO - Epoch(train) [74][3700/3757] lr: 1.0000e-03 eta: 18:07:22 time: 0.5945 data_time: 0.0233 memory: 17350 grad_norm: 8.2863 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5098 loss: 1.5098 2022/07/24 08:16:15 - mmengine - INFO - Epoch(train) [74][3720/3757] lr: 1.0000e-03 eta: 18:07:09 time: 0.7116 data_time: 0.0211 memory: 17350 grad_norm: 8.3509 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4160 loss: 1.4160 2022/07/24 08:16:26 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 08:16:26 - mmengine - INFO - Epoch(train) [74][3740/3757] lr: 1.0000e-03 eta: 18:06:55 time: 0.5692 data_time: 0.0246 memory: 17350 grad_norm: 7.6795 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1549 loss: 1.1549 2022/07/24 08:16:35 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 08:16:35 - mmengine - INFO - Epoch(train) [74][3757/3757] lr: 1.0000e-03 eta: 18:06:55 time: 0.4854 data_time: 0.0211 memory: 17350 grad_norm: 7.9643 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0307 loss: 1.0307 2022/07/24 08:16:52 - mmengine - INFO - Epoch(val) [74][20/310] eta: 0:04:04 time: 0.8416 data_time: 0.7250 memory: 3406 2022/07/24 08:17:03 - mmengine - INFO - Epoch(val) [74][40/310] eta: 0:02:28 time: 0.5485 data_time: 0.4351 memory: 3406 2022/07/24 08:17:18 - mmengine - INFO - Epoch(val) [74][60/310] eta: 0:03:11 time: 0.7675 data_time: 0.6534 memory: 3406 2022/07/24 08:17:30 - mmengine - INFO - Epoch(val) [74][80/310] eta: 0:02:11 time: 0.5734 data_time: 0.4613 memory: 3406 2022/07/24 08:17:45 - mmengine - INFO - Epoch(val) [74][100/310] eta: 0:02:37 time: 0.7503 data_time: 0.6374 memory: 3406 2022/07/24 08:17:55 - mmengine - INFO - Epoch(val) [74][120/310] eta: 0:01:38 time: 0.5203 data_time: 0.4076 memory: 3406 2022/07/24 08:18:10 - mmengine - INFO - Epoch(val) [74][140/310] eta: 0:02:08 time: 0.7565 data_time: 0.6385 memory: 3406 2022/07/24 08:18:22 - mmengine - INFO - Epoch(val) [74][160/310] eta: 0:01:24 time: 0.5613 data_time: 0.4482 memory: 3406 2022/07/24 08:18:36 - mmengine - INFO - Epoch(val) [74][180/310] eta: 0:01:35 time: 0.7334 data_time: 0.6190 memory: 3406 2022/07/24 08:18:48 - mmengine - INFO - Epoch(val) [74][200/310] eta: 0:01:02 time: 0.5721 data_time: 0.4537 memory: 3406 2022/07/24 08:19:03 - mmengine - INFO - Epoch(val) [74][220/310] eta: 0:01:10 time: 0.7846 data_time: 0.6697 memory: 3406 2022/07/24 08:19:14 - mmengine - INFO - Epoch(val) [74][240/310] eta: 0:00:36 time: 0.5237 data_time: 0.4100 memory: 3406 2022/07/24 08:19:29 - mmengine - INFO - Epoch(val) [74][260/310] eta: 0:00:38 time: 0.7665 data_time: 0.6523 memory: 3406 2022/07/24 08:19:40 - mmengine - INFO - Epoch(val) [74][280/310] eta: 0:00:16 time: 0.5394 data_time: 0.4257 memory: 3406 2022/07/24 08:19:54 - mmengine - INFO - Epoch(val) [74][300/310] eta: 0:00:07 time: 0.7124 data_time: 0.5968 memory: 3406 2022/07/24 08:20:00 - mmengine - INFO - Epoch(val) [74][310/310] acc/top1: 0.6786 acc/top5: 0.8756 acc/mean1: 0.6784 2022/07/24 08:20:18 - mmengine - INFO - Epoch(train) [75][20/3757] lr: 1.0000e-03 eta: 18:06:28 time: 0.9309 data_time: 0.5516 memory: 17350 grad_norm: 8.7713 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2703 loss: 1.2703 2022/07/24 08:20:31 - mmengine - INFO - Epoch(train) [75][40/3757] lr: 1.0000e-03 eta: 18:06:15 time: 0.6258 data_time: 0.1779 memory: 17350 grad_norm: 8.2436 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9454 loss: 0.9454 2022/07/24 08:20:46 - mmengine - INFO - Epoch(train) [75][60/3757] lr: 1.0000e-03 eta: 18:06:02 time: 0.7309 data_time: 0.3827 memory: 17350 grad_norm: 8.4172 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2034 loss: 1.2034 2022/07/24 08:20:58 - mmengine - INFO - Epoch(train) [75][80/3757] lr: 1.0000e-03 eta: 18:05:48 time: 0.6153 data_time: 0.2665 memory: 17350 grad_norm: 8.0470 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2086 loss: 1.2086 2022/07/24 08:21:12 - mmengine - INFO - Epoch(train) [75][100/3757] lr: 1.0000e-03 eta: 18:05:35 time: 0.7245 data_time: 0.3518 memory: 17350 grad_norm: 8.1157 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0539 loss: 1.0539 2022/07/24 08:21:24 - mmengine - INFO - Epoch(train) [75][120/3757] lr: 1.0000e-03 eta: 18:05:21 time: 0.5980 data_time: 0.2457 memory: 17350 grad_norm: 8.0979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0121 loss: 1.0121 2022/07/24 08:21:39 - mmengine - INFO - Epoch(train) [75][140/3757] lr: 1.0000e-03 eta: 18:05:08 time: 0.7541 data_time: 0.3309 memory: 17350 grad_norm: 8.6206 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1825 loss: 1.1825 2022/07/24 08:21:52 - mmengine - INFO - Epoch(train) [75][160/3757] lr: 1.0000e-03 eta: 18:04:55 time: 0.6075 data_time: 0.1656 memory: 17350 grad_norm: 7.7478 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9104 loss: 0.9104 2022/07/24 08:22:06 - mmengine - INFO - Epoch(train) [75][180/3757] lr: 1.0000e-03 eta: 18:04:42 time: 0.7341 data_time: 0.2157 memory: 17350 grad_norm: 7.8296 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1632 loss: 1.1632 2022/07/24 08:22:18 - mmengine - INFO - Epoch(train) [75][200/3757] lr: 1.0000e-03 eta: 18:04:28 time: 0.5735 data_time: 0.0988 memory: 17350 grad_norm: 8.0072 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2275 loss: 1.2275 2022/07/24 08:22:32 - mmengine - INFO - Epoch(train) [75][220/3757] lr: 1.0000e-03 eta: 18:04:15 time: 0.7237 data_time: 0.2201 memory: 17350 grad_norm: 8.1208 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9477 loss: 0.9477 2022/07/24 08:22:45 - mmengine - INFO - Epoch(train) [75][240/3757] lr: 1.0000e-03 eta: 18:04:01 time: 0.6151 data_time: 0.1100 memory: 17350 grad_norm: 7.9657 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1812 loss: 1.1812 2022/07/24 08:23:00 - mmengine - INFO - Epoch(train) [75][260/3757] lr: 1.0000e-03 eta: 18:03:48 time: 0.7526 data_time: 0.0567 memory: 17350 grad_norm: 8.1164 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0148 loss: 1.0148 2022/07/24 08:23:11 - mmengine - INFO - Epoch(train) [75][280/3757] lr: 1.0000e-03 eta: 18:03:34 time: 0.5910 data_time: 0.0224 memory: 17350 grad_norm: 8.4215 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2815 loss: 1.2815 2022/07/24 08:23:26 - mmengine - INFO - Epoch(train) [75][300/3757] lr: 1.0000e-03 eta: 18:03:22 time: 0.7353 data_time: 0.0235 memory: 17350 grad_norm: 8.2176 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2208 loss: 1.2208 2022/07/24 08:23:38 - mmengine - INFO - Epoch(train) [75][320/3757] lr: 1.0000e-03 eta: 18:03:08 time: 0.5997 data_time: 0.0228 memory: 17350 grad_norm: 8.1791 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0911 loss: 1.0911 2022/07/24 08:23:52 - mmengine - INFO - Epoch(train) [75][340/3757] lr: 1.0000e-03 eta: 18:02:55 time: 0.7120 data_time: 0.0227 memory: 17350 grad_norm: 8.1737 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9945 loss: 0.9945 2022/07/24 08:24:04 - mmengine - INFO - Epoch(train) [75][360/3757] lr: 1.0000e-03 eta: 18:02:41 time: 0.5645 data_time: 0.0215 memory: 17350 grad_norm: 8.0091 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9788 loss: 0.9788 2022/07/24 08:24:18 - mmengine - INFO - Epoch(train) [75][380/3757] lr: 1.0000e-03 eta: 18:02:28 time: 0.7250 data_time: 0.0471 memory: 17350 grad_norm: 7.9074 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1737 loss: 1.1737 2022/07/24 08:24:30 - mmengine - INFO - Epoch(train) [75][400/3757] lr: 1.0000e-03 eta: 18:02:14 time: 0.5881 data_time: 0.0250 memory: 17350 grad_norm: 8.2847 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1192 loss: 1.1192 2022/07/24 08:24:45 - mmengine - INFO - Epoch(train) [75][420/3757] lr: 1.0000e-03 eta: 18:02:01 time: 0.7200 data_time: 0.0396 memory: 17350 grad_norm: 8.3740 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0079 loss: 1.0079 2022/07/24 08:24:57 - mmengine - INFO - Epoch(train) [75][440/3757] lr: 1.0000e-03 eta: 18:01:47 time: 0.6173 data_time: 0.0222 memory: 17350 grad_norm: 8.0152 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9134 loss: 0.9134 2022/07/24 08:25:13 - mmengine - INFO - Epoch(train) [75][460/3757] lr: 1.0000e-03 eta: 18:01:35 time: 0.7882 data_time: 0.0219 memory: 17350 grad_norm: 8.0366 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2264 loss: 1.2264 2022/07/24 08:25:25 - mmengine - INFO - Epoch(train) [75][480/3757] lr: 1.0000e-03 eta: 18:01:21 time: 0.6227 data_time: 0.0242 memory: 17350 grad_norm: 8.1391 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1055 loss: 1.1055 2022/07/24 08:25:39 - mmengine - INFO - Epoch(train) [75][500/3757] lr: 1.0000e-03 eta: 18:01:08 time: 0.7177 data_time: 0.0258 memory: 17350 grad_norm: 8.2948 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0416 loss: 1.0416 2022/07/24 08:25:51 - mmengine - INFO - Epoch(train) [75][520/3757] lr: 1.0000e-03 eta: 18:00:54 time: 0.5842 data_time: 0.0168 memory: 17350 grad_norm: 8.3176 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4152 loss: 1.4152 2022/07/24 08:26:06 - mmengine - INFO - Epoch(train) [75][540/3757] lr: 1.0000e-03 eta: 18:00:41 time: 0.7404 data_time: 0.0223 memory: 17350 grad_norm: 8.4077 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0232 loss: 1.0232 2022/07/24 08:26:18 - mmengine - INFO - Epoch(train) [75][560/3757] lr: 1.0000e-03 eta: 18:00:27 time: 0.5985 data_time: 0.0227 memory: 17350 grad_norm: 7.9692 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3148 loss: 1.3148 2022/07/24 08:26:32 - mmengine - INFO - Epoch(train) [75][580/3757] lr: 1.0000e-03 eta: 18:00:14 time: 0.7235 data_time: 0.0242 memory: 17350 grad_norm: 8.0285 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1431 loss: 1.1431 2022/07/24 08:26:45 - mmengine - INFO - Epoch(train) [75][600/3757] lr: 1.0000e-03 eta: 18:00:01 time: 0.6249 data_time: 0.0233 memory: 17350 grad_norm: 7.8418 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8751 loss: 0.8751 2022/07/24 08:27:00 - mmengine - INFO - Epoch(train) [75][620/3757] lr: 1.0000e-03 eta: 17:59:48 time: 0.7370 data_time: 0.0255 memory: 17350 grad_norm: 8.5434 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4536 loss: 1.4536 2022/07/24 08:27:11 - mmengine - INFO - Epoch(train) [75][640/3757] lr: 1.0000e-03 eta: 17:59:34 time: 0.5762 data_time: 0.0250 memory: 17350 grad_norm: 8.2453 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3042 loss: 1.3042 2022/07/24 08:27:25 - mmengine - INFO - Epoch(train) [75][660/3757] lr: 1.0000e-03 eta: 17:59:21 time: 0.7037 data_time: 0.0217 memory: 17350 grad_norm: 8.2814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1419 loss: 1.1419 2022/07/24 08:27:37 - mmengine - INFO - Epoch(train) [75][680/3757] lr: 1.0000e-03 eta: 17:59:07 time: 0.5677 data_time: 0.0224 memory: 17350 grad_norm: 8.1575 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8570 loss: 0.8570 2022/07/24 08:27:51 - mmengine - INFO - Epoch(train) [75][700/3757] lr: 1.0000e-03 eta: 17:58:54 time: 0.6988 data_time: 0.0209 memory: 17350 grad_norm: 8.1823 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9978 loss: 0.9978 2022/07/24 08:28:03 - mmengine - INFO - Epoch(train) [75][720/3757] lr: 1.0000e-03 eta: 17:58:40 time: 0.6267 data_time: 0.0233 memory: 17350 grad_norm: 8.4638 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2960 loss: 1.2960 2022/07/24 08:28:18 - mmengine - INFO - Epoch(train) [75][740/3757] lr: 1.0000e-03 eta: 17:58:27 time: 0.7322 data_time: 0.0213 memory: 17350 grad_norm: 8.4023 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.0324 loss: 1.0324 2022/07/24 08:28:30 - mmengine - INFO - Epoch(train) [75][760/3757] lr: 1.0000e-03 eta: 17:58:13 time: 0.6024 data_time: 0.0230 memory: 17350 grad_norm: 8.2521 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0974 loss: 1.0974 2022/07/24 08:28:45 - mmengine - INFO - Epoch(train) [75][780/3757] lr: 1.0000e-03 eta: 17:58:00 time: 0.7319 data_time: 0.0226 memory: 17350 grad_norm: 7.7800 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1189 loss: 1.1189 2022/07/24 08:28:57 - mmengine - INFO - Epoch(train) [75][800/3757] lr: 1.0000e-03 eta: 17:57:47 time: 0.6024 data_time: 0.0249 memory: 17350 grad_norm: 8.0540 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1855 loss: 1.1855 2022/07/24 08:29:11 - mmengine - INFO - Epoch(train) [75][820/3757] lr: 1.0000e-03 eta: 17:57:34 time: 0.7258 data_time: 0.0220 memory: 17350 grad_norm: 8.2485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1288 loss: 1.1288 2022/07/24 08:29:23 - mmengine - INFO - Epoch(train) [75][840/3757] lr: 1.0000e-03 eta: 17:57:20 time: 0.5957 data_time: 0.0259 memory: 17350 grad_norm: 8.3288 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1469 loss: 1.1469 2022/07/24 08:29:38 - mmengine - INFO - Epoch(train) [75][860/3757] lr: 1.0000e-03 eta: 17:57:07 time: 0.7216 data_time: 0.0222 memory: 17350 grad_norm: 8.0786 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1016 loss: 1.1016 2022/07/24 08:29:49 - mmengine - INFO - Epoch(train) [75][880/3757] lr: 1.0000e-03 eta: 17:56:53 time: 0.5678 data_time: 0.0227 memory: 17350 grad_norm: 8.1746 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0975 loss: 1.0975 2022/07/24 08:30:04 - mmengine - INFO - Epoch(train) [75][900/3757] lr: 1.0000e-03 eta: 17:56:40 time: 0.7479 data_time: 0.0232 memory: 17350 grad_norm: 7.9860 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8954 loss: 0.8954 2022/07/24 08:30:17 - mmengine - INFO - Epoch(train) [75][920/3757] lr: 1.0000e-03 eta: 17:56:26 time: 0.6259 data_time: 0.0225 memory: 17350 grad_norm: 8.3898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0397 loss: 1.0397 2022/07/24 08:30:31 - mmengine - INFO - Epoch(train) [75][940/3757] lr: 1.0000e-03 eta: 17:56:14 time: 0.7423 data_time: 0.0222 memory: 17350 grad_norm: 8.1493 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1433 loss: 1.1433 2022/07/24 08:30:43 - mmengine - INFO - Epoch(train) [75][960/3757] lr: 1.0000e-03 eta: 17:56:00 time: 0.5983 data_time: 0.0251 memory: 17350 grad_norm: 7.7502 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1344 loss: 1.1344 2022/07/24 08:30:58 - mmengine - INFO - Epoch(train) [75][980/3757] lr: 1.0000e-03 eta: 17:55:47 time: 0.7486 data_time: 0.0225 memory: 17350 grad_norm: 8.3827 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2594 loss: 1.2594 2022/07/24 08:30:59 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 08:31:10 - mmengine - INFO - Epoch(train) [75][1000/3757] lr: 1.0000e-03 eta: 17:55:33 time: 0.5883 data_time: 0.0243 memory: 17350 grad_norm: 8.3297 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1598 loss: 1.1598 2022/07/24 08:31:25 - mmengine - INFO - Epoch(train) [75][1020/3757] lr: 1.0000e-03 eta: 17:55:20 time: 0.7238 data_time: 0.0217 memory: 17350 grad_norm: 8.0022 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0416 loss: 1.0416 2022/07/24 08:31:36 - mmengine - INFO - Epoch(train) [75][1040/3757] lr: 1.0000e-03 eta: 17:55:06 time: 0.5716 data_time: 0.0243 memory: 17350 grad_norm: 8.0129 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0744 loss: 1.0744 2022/07/24 08:31:51 - mmengine - INFO - Epoch(train) [75][1060/3757] lr: 1.0000e-03 eta: 17:54:53 time: 0.7346 data_time: 0.0228 memory: 17350 grad_norm: 8.4620 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0854 loss: 1.0854 2022/07/24 08:32:03 - mmengine - INFO - Epoch(train) [75][1080/3757] lr: 1.0000e-03 eta: 17:54:39 time: 0.6188 data_time: 0.0225 memory: 17350 grad_norm: 8.0875 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0663 loss: 1.0663 2022/07/24 08:32:17 - mmengine - INFO - Epoch(train) [75][1100/3757] lr: 1.0000e-03 eta: 17:54:26 time: 0.6980 data_time: 0.0212 memory: 17350 grad_norm: 8.9327 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3981 loss: 1.3981 2022/07/24 08:32:30 - mmengine - INFO - Epoch(train) [75][1120/3757] lr: 1.0000e-03 eta: 17:54:13 time: 0.6307 data_time: 0.0224 memory: 17350 grad_norm: 8.1622 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0257 loss: 1.0257 2022/07/24 08:32:44 - mmengine - INFO - Epoch(train) [75][1140/3757] lr: 1.0000e-03 eta: 17:54:00 time: 0.6965 data_time: 0.0244 memory: 17350 grad_norm: 8.2543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0688 loss: 1.0688 2022/07/24 08:32:57 - mmengine - INFO - Epoch(train) [75][1160/3757] lr: 1.0000e-03 eta: 17:53:46 time: 0.6527 data_time: 0.0208 memory: 17350 grad_norm: 8.5571 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4784 loss: 1.4784 2022/07/24 08:33:11 - mmengine - INFO - Epoch(train) [75][1180/3757] lr: 1.0000e-03 eta: 17:53:33 time: 0.7065 data_time: 0.0236 memory: 17350 grad_norm: 8.3150 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9674 loss: 0.9674 2022/07/24 08:33:24 - mmengine - INFO - Epoch(train) [75][1200/3757] lr: 1.0000e-03 eta: 17:53:20 time: 0.6504 data_time: 0.0241 memory: 17350 grad_norm: 8.6018 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1389 loss: 1.1389 2022/07/24 08:33:37 - mmengine - INFO - Epoch(train) [75][1220/3757] lr: 1.0000e-03 eta: 17:53:06 time: 0.6558 data_time: 0.0208 memory: 17350 grad_norm: 8.4611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1546 loss: 1.1546 2022/07/24 08:33:51 - mmengine - INFO - Epoch(train) [75][1240/3757] lr: 1.0000e-03 eta: 17:52:53 time: 0.6715 data_time: 0.0241 memory: 17350 grad_norm: 8.3107 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1195 loss: 1.1195 2022/07/24 08:34:04 - mmengine - INFO - Epoch(train) [75][1260/3757] lr: 1.0000e-03 eta: 17:52:39 time: 0.6515 data_time: 0.0238 memory: 17350 grad_norm: 8.4600 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2355 loss: 1.2355 2022/07/24 08:34:18 - mmengine - INFO - Epoch(train) [75][1280/3757] lr: 1.0000e-03 eta: 17:52:26 time: 0.6985 data_time: 0.0206 memory: 17350 grad_norm: 8.4962 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0540 loss: 1.0540 2022/07/24 08:34:30 - mmengine - INFO - Epoch(train) [75][1300/3757] lr: 1.0000e-03 eta: 17:52:13 time: 0.6387 data_time: 0.0226 memory: 17350 grad_norm: 8.3691 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9486 loss: 0.9486 2022/07/24 08:34:44 - mmengine - INFO - Epoch(train) [75][1320/3757] lr: 1.0000e-03 eta: 17:51:59 time: 0.6669 data_time: 0.0231 memory: 17350 grad_norm: 8.0866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2709 loss: 1.2709 2022/07/24 08:34:57 - mmengine - INFO - Epoch(train) [75][1340/3757] lr: 1.0000e-03 eta: 17:51:46 time: 0.6640 data_time: 0.0194 memory: 17350 grad_norm: 8.1062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1382 loss: 1.1382 2022/07/24 08:35:11 - mmengine - INFO - Epoch(train) [75][1360/3757] lr: 1.0000e-03 eta: 17:51:33 time: 0.6975 data_time: 0.0236 memory: 17350 grad_norm: 8.2453 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9270 loss: 0.9270 2022/07/24 08:35:24 - mmengine - INFO - Epoch(train) [75][1380/3757] lr: 1.0000e-03 eta: 17:51:19 time: 0.6570 data_time: 0.0234 memory: 17350 grad_norm: 8.7382 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1791 loss: 1.1791 2022/07/24 08:35:38 - mmengine - INFO - Epoch(train) [75][1400/3757] lr: 1.0000e-03 eta: 17:51:06 time: 0.6792 data_time: 0.0213 memory: 17350 grad_norm: 7.9683 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1150 loss: 1.1150 2022/07/24 08:35:51 - mmengine - INFO - Epoch(train) [75][1420/3757] lr: 1.0000e-03 eta: 17:50:53 time: 0.6649 data_time: 0.0226 memory: 17350 grad_norm: 8.4655 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2104 loss: 1.2104 2022/07/24 08:36:05 - mmengine - INFO - Epoch(train) [75][1440/3757] lr: 1.0000e-03 eta: 17:50:39 time: 0.6743 data_time: 0.0238 memory: 17350 grad_norm: 8.5529 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9957 loss: 0.9957 2022/07/24 08:36:18 - mmengine - INFO - Epoch(train) [75][1460/3757] lr: 1.0000e-03 eta: 17:50:26 time: 0.6771 data_time: 0.0211 memory: 17350 grad_norm: 8.5036 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3155 loss: 1.3155 2022/07/24 08:36:32 - mmengine - INFO - Epoch(train) [75][1480/3757] lr: 1.0000e-03 eta: 17:50:13 time: 0.6690 data_time: 0.0240 memory: 17350 grad_norm: 7.9930 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2913 loss: 1.2913 2022/07/24 08:36:45 - mmengine - INFO - Epoch(train) [75][1500/3757] lr: 1.0000e-03 eta: 17:50:00 time: 0.6782 data_time: 0.0250 memory: 17350 grad_norm: 8.5060 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2801 loss: 1.2801 2022/07/24 08:36:59 - mmengine - INFO - Epoch(train) [75][1520/3757] lr: 1.0000e-03 eta: 17:49:46 time: 0.6959 data_time: 0.0252 memory: 17350 grad_norm: 8.1828 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1448 loss: 1.1448 2022/07/24 08:37:11 - mmengine - INFO - Epoch(train) [75][1540/3757] lr: 1.0000e-03 eta: 17:49:33 time: 0.6200 data_time: 0.0232 memory: 17350 grad_norm: 8.4758 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1721 loss: 1.1721 2022/07/24 08:37:25 - mmengine - INFO - Epoch(train) [75][1560/3757] lr: 1.0000e-03 eta: 17:49:19 time: 0.6724 data_time: 0.0219 memory: 17350 grad_norm: 8.6032 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1903 loss: 1.1903 2022/07/24 08:37:39 - mmengine - INFO - Epoch(train) [75][1580/3757] lr: 1.0000e-03 eta: 17:49:06 time: 0.6813 data_time: 0.0214 memory: 17350 grad_norm: 8.4412 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2151 loss: 1.2151 2022/07/24 08:37:51 - mmengine - INFO - Epoch(train) [75][1600/3757] lr: 1.0000e-03 eta: 17:48:52 time: 0.6134 data_time: 0.0284 memory: 17350 grad_norm: 8.6903 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2124 loss: 1.2124 2022/07/24 08:38:05 - mmengine - INFO - Epoch(train) [75][1620/3757] lr: 1.0000e-03 eta: 17:48:39 time: 0.6825 data_time: 0.0231 memory: 17350 grad_norm: 8.3626 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3960 loss: 1.3960 2022/07/24 08:38:17 - mmengine - INFO - Epoch(train) [75][1640/3757] lr: 1.0000e-03 eta: 17:48:26 time: 0.6311 data_time: 0.0231 memory: 17350 grad_norm: 8.1441 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0033 loss: 1.0033 2022/07/24 08:38:31 - mmengine - INFO - Epoch(train) [75][1660/3757] lr: 1.0000e-03 eta: 17:48:12 time: 0.7057 data_time: 0.0234 memory: 17350 grad_norm: 8.3160 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0255 loss: 1.0255 2022/07/24 08:38:43 - mmengine - INFO - Epoch(train) [75][1680/3757] lr: 1.0000e-03 eta: 17:47:59 time: 0.6001 data_time: 0.0236 memory: 17350 grad_norm: 8.2383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3003 loss: 1.3003 2022/07/24 08:38:58 - mmengine - INFO - Epoch(train) [75][1700/3757] lr: 1.0000e-03 eta: 17:47:46 time: 0.7238 data_time: 0.0227 memory: 17350 grad_norm: 8.2376 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8301 loss: 0.8301 2022/07/24 08:39:11 - mmengine - INFO - Epoch(train) [75][1720/3757] lr: 1.0000e-03 eta: 17:47:32 time: 0.6364 data_time: 0.0245 memory: 17350 grad_norm: 8.2994 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1394 loss: 1.1394 2022/07/24 08:39:25 - mmengine - INFO - Epoch(train) [75][1740/3757] lr: 1.0000e-03 eta: 17:47:19 time: 0.7196 data_time: 0.0268 memory: 17350 grad_norm: 8.2693 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9525 loss: 0.9525 2022/07/24 08:39:37 - mmengine - INFO - Epoch(train) [75][1760/3757] lr: 1.0000e-03 eta: 17:47:05 time: 0.5873 data_time: 0.0209 memory: 17350 grad_norm: 8.4629 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3772 loss: 1.3772 2022/07/24 08:39:52 - mmengine - INFO - Epoch(train) [75][1780/3757] lr: 1.0000e-03 eta: 17:46:52 time: 0.7452 data_time: 0.0224 memory: 17350 grad_norm: 9.0398 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2667 loss: 1.2667 2022/07/24 08:40:04 - mmengine - INFO - Epoch(train) [75][1800/3757] lr: 1.0000e-03 eta: 17:46:39 time: 0.6244 data_time: 0.0249 memory: 17350 grad_norm: 8.4634 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0135 loss: 1.0135 2022/07/24 08:40:19 - mmengine - INFO - Epoch(train) [75][1820/3757] lr: 1.0000e-03 eta: 17:46:26 time: 0.7440 data_time: 0.0223 memory: 17350 grad_norm: 8.2716 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3694 loss: 1.3694 2022/07/24 08:40:31 - mmengine - INFO - Epoch(train) [75][1840/3757] lr: 1.0000e-03 eta: 17:46:12 time: 0.5882 data_time: 0.0223 memory: 17350 grad_norm: 8.3129 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2357 loss: 1.2357 2022/07/24 08:40:46 - mmengine - INFO - Epoch(train) [75][1860/3757] lr: 1.0000e-03 eta: 17:45:59 time: 0.7390 data_time: 0.0218 memory: 17350 grad_norm: 8.5363 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2587 loss: 1.2587 2022/07/24 08:40:58 - mmengine - INFO - Epoch(train) [75][1880/3757] lr: 1.0000e-03 eta: 17:45:46 time: 0.6307 data_time: 0.0225 memory: 17350 grad_norm: 8.6382 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1209 loss: 1.1209 2022/07/24 08:41:13 - mmengine - INFO - Epoch(train) [75][1900/3757] lr: 1.0000e-03 eta: 17:45:33 time: 0.7174 data_time: 0.0236 memory: 17350 grad_norm: 7.9121 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9128 loss: 0.9128 2022/07/24 08:41:25 - mmengine - INFO - Epoch(train) [75][1920/3757] lr: 1.0000e-03 eta: 17:45:19 time: 0.6037 data_time: 0.0239 memory: 17350 grad_norm: 8.1290 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1456 loss: 1.1456 2022/07/24 08:41:40 - mmengine - INFO - Epoch(train) [75][1940/3757] lr: 1.0000e-03 eta: 17:45:06 time: 0.7691 data_time: 0.0232 memory: 17350 grad_norm: 7.9889 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0339 loss: 1.0339 2022/07/24 08:41:52 - mmengine - INFO - Epoch(train) [75][1960/3757] lr: 1.0000e-03 eta: 17:44:52 time: 0.5743 data_time: 0.0246 memory: 17350 grad_norm: 8.2618 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3550 loss: 1.3550 2022/07/24 08:42:06 - mmengine - INFO - Epoch(train) [75][1980/3757] lr: 1.0000e-03 eta: 17:44:39 time: 0.7207 data_time: 0.0204 memory: 17350 grad_norm: 8.3205 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8802 loss: 0.8802 2022/07/24 08:42:07 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 08:42:17 - mmengine - INFO - Epoch(train) [75][2000/3757] lr: 1.0000e-03 eta: 17:44:25 time: 0.5456 data_time: 0.0248 memory: 17350 grad_norm: 8.4121 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1697 loss: 1.1697 2022/07/24 08:42:32 - mmengine - INFO - Epoch(train) [75][2020/3757] lr: 1.0000e-03 eta: 17:44:12 time: 0.7297 data_time: 0.0211 memory: 17350 grad_norm: 8.0290 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0026 loss: 1.0026 2022/07/24 08:42:44 - mmengine - INFO - Epoch(train) [75][2040/3757] lr: 1.0000e-03 eta: 17:43:58 time: 0.6159 data_time: 0.0220 memory: 17350 grad_norm: 8.2345 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1164 loss: 1.1164 2022/07/24 08:42:58 - mmengine - INFO - Epoch(train) [75][2060/3757] lr: 1.0000e-03 eta: 17:43:45 time: 0.7031 data_time: 0.0228 memory: 17350 grad_norm: 8.3017 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0847 loss: 1.0847 2022/07/24 08:43:10 - mmengine - INFO - Epoch(train) [75][2080/3757] lr: 1.0000e-03 eta: 17:43:32 time: 0.6180 data_time: 0.0158 memory: 17350 grad_norm: 8.1784 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1892 loss: 1.1892 2022/07/24 08:43:26 - mmengine - INFO - Epoch(train) [75][2100/3757] lr: 1.0000e-03 eta: 17:43:19 time: 0.7544 data_time: 0.0263 memory: 17350 grad_norm: 8.5332 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2131 loss: 1.2131 2022/07/24 08:43:37 - mmengine - INFO - Epoch(train) [75][2120/3757] lr: 1.0000e-03 eta: 17:43:05 time: 0.5941 data_time: 0.0207 memory: 17350 grad_norm: 8.3111 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9887 loss: 0.9887 2022/07/24 08:43:52 - mmengine - INFO - Epoch(train) [75][2140/3757] lr: 1.0000e-03 eta: 17:42:52 time: 0.7159 data_time: 0.0234 memory: 17350 grad_norm: 8.7620 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1383 loss: 1.1383 2022/07/24 08:44:04 - mmengine - INFO - Epoch(train) [75][2160/3757] lr: 1.0000e-03 eta: 17:42:38 time: 0.6130 data_time: 0.0234 memory: 17350 grad_norm: 8.2540 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0322 loss: 1.0322 2022/07/24 08:44:19 - mmengine - INFO - Epoch(train) [75][2180/3757] lr: 1.0000e-03 eta: 17:42:25 time: 0.7219 data_time: 0.0216 memory: 17350 grad_norm: 8.2639 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1298 loss: 1.1298 2022/07/24 08:44:31 - mmengine - INFO - Epoch(train) [75][2200/3757] lr: 1.0000e-03 eta: 17:42:12 time: 0.6103 data_time: 0.0258 memory: 17350 grad_norm: 8.8311 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0869 loss: 1.0869 2022/07/24 08:44:46 - mmengine - INFO - Epoch(train) [75][2220/3757] lr: 1.0000e-03 eta: 17:41:59 time: 0.7421 data_time: 0.0229 memory: 17350 grad_norm: 8.2879 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.0939 loss: 1.0939 2022/07/24 08:44:57 - mmengine - INFO - Epoch(train) [75][2240/3757] lr: 1.0000e-03 eta: 17:41:45 time: 0.5651 data_time: 0.0222 memory: 17350 grad_norm: 8.3508 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9818 loss: 0.9818 2022/07/24 08:45:12 - mmengine - INFO - Epoch(train) [75][2260/3757] lr: 1.0000e-03 eta: 17:41:32 time: 0.7487 data_time: 0.0211 memory: 17350 grad_norm: 8.3095 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4134 loss: 1.4134 2022/07/24 08:45:24 - mmengine - INFO - Epoch(train) [75][2280/3757] lr: 1.0000e-03 eta: 17:41:18 time: 0.6191 data_time: 0.0223 memory: 17350 grad_norm: 8.1760 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0338 loss: 1.0338 2022/07/24 08:45:39 - mmengine - INFO - Epoch(train) [75][2300/3757] lr: 1.0000e-03 eta: 17:41:05 time: 0.7287 data_time: 0.0212 memory: 17350 grad_norm: 7.9471 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1806 loss: 1.1806 2022/07/24 08:45:51 - mmengine - INFO - Epoch(train) [75][2320/3757] lr: 1.0000e-03 eta: 17:40:51 time: 0.6030 data_time: 0.0239 memory: 17350 grad_norm: 8.1172 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9292 loss: 0.9292 2022/07/24 08:46:05 - mmengine - INFO - Epoch(train) [75][2340/3757] lr: 1.0000e-03 eta: 17:40:38 time: 0.7021 data_time: 0.0232 memory: 17350 grad_norm: 8.2365 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9324 loss: 0.9324 2022/07/24 08:46:17 - mmengine - INFO - Epoch(train) [75][2360/3757] lr: 1.0000e-03 eta: 17:40:24 time: 0.5907 data_time: 0.0220 memory: 17350 grad_norm: 8.7475 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1717 loss: 1.1717 2022/07/24 08:46:32 - mmengine - INFO - Epoch(train) [75][2380/3757] lr: 1.0000e-03 eta: 17:40:12 time: 0.7501 data_time: 0.0224 memory: 17350 grad_norm: 8.2182 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2710 loss: 1.2710 2022/07/24 08:46:42 - mmengine - INFO - Epoch(train) [75][2400/3757] lr: 1.0000e-03 eta: 17:39:57 time: 0.5294 data_time: 0.0244 memory: 17350 grad_norm: 8.4607 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1768 loss: 1.1768 2022/07/24 08:46:57 - mmengine - INFO - Epoch(train) [75][2420/3757] lr: 1.0000e-03 eta: 17:39:44 time: 0.7184 data_time: 0.0211 memory: 17350 grad_norm: 8.1048 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1060 loss: 1.1060 2022/07/24 08:47:09 - mmengine - INFO - Epoch(train) [75][2440/3757] lr: 1.0000e-03 eta: 17:39:31 time: 0.6021 data_time: 0.0212 memory: 17350 grad_norm: 8.3567 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1740 loss: 1.1740 2022/07/24 08:47:24 - mmengine - INFO - Epoch(train) [75][2460/3757] lr: 1.0000e-03 eta: 17:39:18 time: 0.7387 data_time: 0.0213 memory: 17350 grad_norm: 8.4788 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1399 loss: 1.1399 2022/07/24 08:47:35 - mmengine - INFO - Epoch(train) [75][2480/3757] lr: 1.0000e-03 eta: 17:39:04 time: 0.5873 data_time: 0.0230 memory: 17350 grad_norm: 8.3891 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8862 loss: 0.8862 2022/07/24 08:47:50 - mmengine - INFO - Epoch(train) [75][2500/3757] lr: 1.0000e-03 eta: 17:38:51 time: 0.7185 data_time: 0.0209 memory: 17350 grad_norm: 8.2075 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1307 loss: 1.1307 2022/07/24 08:48:03 - mmengine - INFO - Epoch(train) [75][2520/3757] lr: 1.0000e-03 eta: 17:38:37 time: 0.6497 data_time: 0.0231 memory: 17350 grad_norm: 8.3710 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9634 loss: 0.9634 2022/07/24 08:48:16 - mmengine - INFO - Epoch(train) [75][2540/3757] lr: 1.0000e-03 eta: 17:38:24 time: 0.6375 data_time: 0.0225 memory: 17350 grad_norm: 8.2550 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0482 loss: 1.0482 2022/07/24 08:48:29 - mmengine - INFO - Epoch(train) [75][2560/3757] lr: 1.0000e-03 eta: 17:38:10 time: 0.6559 data_time: 0.0225 memory: 17350 grad_norm: 7.8507 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9752 loss: 0.9752 2022/07/24 08:48:43 - mmengine - INFO - Epoch(train) [75][2580/3757] lr: 1.0000e-03 eta: 17:37:57 time: 0.7006 data_time: 0.0213 memory: 17350 grad_norm: 8.1501 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0330 loss: 1.0330 2022/07/24 08:48:56 - mmengine - INFO - Epoch(train) [75][2600/3757] lr: 1.0000e-03 eta: 17:37:44 time: 0.6542 data_time: 0.0234 memory: 17350 grad_norm: 8.4478 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0007 loss: 1.0007 2022/07/24 08:49:09 - mmengine - INFO - Epoch(train) [75][2620/3757] lr: 1.0000e-03 eta: 17:37:30 time: 0.6699 data_time: 0.0264 memory: 17350 grad_norm: 8.5517 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1942 loss: 1.1942 2022/07/24 08:49:23 - mmengine - INFO - Epoch(train) [75][2640/3757] lr: 1.0000e-03 eta: 17:37:17 time: 0.6796 data_time: 0.0660 memory: 17350 grad_norm: 8.4170 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3088 loss: 1.3088 2022/07/24 08:49:37 - mmengine - INFO - Epoch(train) [75][2660/3757] lr: 1.0000e-03 eta: 17:37:04 time: 0.6896 data_time: 0.0264 memory: 17350 grad_norm: 8.2002 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0400 loss: 1.0400 2022/07/24 08:49:50 - mmengine - INFO - Epoch(train) [75][2680/3757] lr: 1.0000e-03 eta: 17:36:50 time: 0.6401 data_time: 0.0317 memory: 17350 grad_norm: 8.2936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9989 loss: 0.9989 2022/07/24 08:50:04 - mmengine - INFO - Epoch(train) [75][2700/3757] lr: 1.0000e-03 eta: 17:36:38 time: 0.7350 data_time: 0.0213 memory: 17350 grad_norm: 8.1551 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0610 loss: 1.0610 2022/07/24 08:50:16 - mmengine - INFO - Epoch(train) [75][2720/3757] lr: 1.0000e-03 eta: 17:36:24 time: 0.6076 data_time: 0.0220 memory: 17350 grad_norm: 8.2711 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1383 loss: 1.1383 2022/07/24 08:50:30 - mmengine - INFO - Epoch(train) [75][2740/3757] lr: 1.0000e-03 eta: 17:36:10 time: 0.6662 data_time: 0.0210 memory: 17350 grad_norm: 8.3648 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0274 loss: 1.0274 2022/07/24 08:50:43 - mmengine - INFO - Epoch(train) [75][2760/3757] lr: 1.0000e-03 eta: 17:35:57 time: 0.6469 data_time: 0.0217 memory: 17350 grad_norm: 8.4453 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9905 loss: 0.9905 2022/07/24 08:50:57 - mmengine - INFO - Epoch(train) [75][2780/3757] lr: 1.0000e-03 eta: 17:35:44 time: 0.7067 data_time: 0.0232 memory: 17350 grad_norm: 8.2042 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1849 loss: 1.1849 2022/07/24 08:51:09 - mmengine - INFO - Epoch(train) [75][2800/3757] lr: 1.0000e-03 eta: 17:35:30 time: 0.5999 data_time: 0.0184 memory: 17350 grad_norm: 8.3134 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1522 loss: 1.1522 2022/07/24 08:51:23 - mmengine - INFO - Epoch(train) [75][2820/3757] lr: 1.0000e-03 eta: 17:35:17 time: 0.7120 data_time: 0.0221 memory: 17350 grad_norm: 8.3119 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.2611 loss: 1.2611 2022/07/24 08:51:36 - mmengine - INFO - Epoch(train) [75][2840/3757] lr: 1.0000e-03 eta: 17:35:03 time: 0.6323 data_time: 0.0243 memory: 17350 grad_norm: 8.2373 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9474 loss: 0.9474 2022/07/24 08:51:51 - mmengine - INFO - Epoch(train) [75][2860/3757] lr: 1.0000e-03 eta: 17:34:51 time: 0.7663 data_time: 0.0220 memory: 17350 grad_norm: 8.1826 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9531 loss: 0.9531 2022/07/24 08:52:03 - mmengine - INFO - Epoch(train) [75][2880/3757] lr: 1.0000e-03 eta: 17:34:37 time: 0.5987 data_time: 0.0213 memory: 17350 grad_norm: 8.1924 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0823 loss: 1.0823 2022/07/24 08:52:17 - mmengine - INFO - Epoch(train) [75][2900/3757] lr: 1.0000e-03 eta: 17:34:24 time: 0.7151 data_time: 0.0220 memory: 17350 grad_norm: 8.4480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2491 loss: 1.2491 2022/07/24 08:52:30 - mmengine - INFO - Epoch(train) [75][2920/3757] lr: 1.0000e-03 eta: 17:34:10 time: 0.6178 data_time: 0.0235 memory: 17350 grad_norm: 8.2456 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1351 loss: 1.1351 2022/07/24 08:52:43 - mmengine - INFO - Epoch(train) [75][2940/3757] lr: 1.0000e-03 eta: 17:33:57 time: 0.6827 data_time: 0.0208 memory: 17350 grad_norm: 8.4380 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0037 loss: 1.0037 2022/07/24 08:52:56 - mmengine - INFO - Epoch(train) [75][2960/3757] lr: 1.0000e-03 eta: 17:33:43 time: 0.6043 data_time: 0.0253 memory: 17350 grad_norm: 8.2307 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1258 loss: 1.1258 2022/07/24 08:53:10 - mmengine - INFO - Epoch(train) [75][2980/3757] lr: 1.0000e-03 eta: 17:33:30 time: 0.7088 data_time: 0.0212 memory: 17350 grad_norm: 8.3976 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0625 loss: 1.0625 2022/07/24 08:53:11 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 08:53:23 - mmengine - INFO - Epoch(train) [75][3000/3757] lr: 1.0000e-03 eta: 17:33:17 time: 0.6406 data_time: 0.0238 memory: 17350 grad_norm: 7.9410 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2359 loss: 1.2359 2022/07/24 08:53:36 - mmengine - INFO - Epoch(train) [75][3020/3757] lr: 1.0000e-03 eta: 17:33:03 time: 0.6921 data_time: 0.0218 memory: 17350 grad_norm: 8.1854 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.9167 loss: 0.9167 2022/07/24 08:53:49 - mmengine - INFO - Epoch(train) [75][3040/3757] lr: 1.0000e-03 eta: 17:32:50 time: 0.6451 data_time: 0.0230 memory: 17350 grad_norm: 8.1115 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0938 loss: 1.0938 2022/07/24 08:54:03 - mmengine - INFO - Epoch(train) [75][3060/3757] lr: 1.0000e-03 eta: 17:32:37 time: 0.6783 data_time: 0.0222 memory: 17350 grad_norm: 8.1048 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3245 loss: 1.3245 2022/07/24 08:54:16 - mmengine - INFO - Epoch(train) [75][3080/3757] lr: 1.0000e-03 eta: 17:32:23 time: 0.6572 data_time: 0.0236 memory: 17350 grad_norm: 8.7819 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0243 loss: 1.0243 2022/07/24 08:54:29 - mmengine - INFO - Epoch(train) [75][3100/3757] lr: 1.0000e-03 eta: 17:32:10 time: 0.6662 data_time: 0.0217 memory: 17350 grad_norm: 8.0661 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2519 loss: 1.2519 2022/07/24 08:54:43 - mmengine - INFO - Epoch(train) [75][3120/3757] lr: 1.0000e-03 eta: 17:31:57 time: 0.6825 data_time: 0.0220 memory: 17350 grad_norm: 8.5114 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2752 loss: 1.2752 2022/07/24 08:54:56 - mmengine - INFO - Epoch(train) [75][3140/3757] lr: 1.0000e-03 eta: 17:31:43 time: 0.6486 data_time: 0.0207 memory: 17350 grad_norm: 7.9966 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8705 loss: 0.8705 2022/07/24 08:55:10 - mmengine - INFO - Epoch(train) [75][3160/3757] lr: 1.0000e-03 eta: 17:31:30 time: 0.6893 data_time: 0.0206 memory: 17350 grad_norm: 8.0977 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2501 loss: 1.2501 2022/07/24 08:55:24 - mmengine - INFO - Epoch(train) [75][3180/3757] lr: 1.0000e-03 eta: 17:31:17 time: 0.6929 data_time: 0.0217 memory: 17350 grad_norm: 8.6746 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1869 loss: 1.1869 2022/07/24 08:55:37 - mmengine - INFO - Epoch(train) [75][3200/3757] lr: 1.0000e-03 eta: 17:31:03 time: 0.6462 data_time: 0.0211 memory: 17350 grad_norm: 8.1739 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8794 loss: 0.8794 2022/07/24 08:55:51 - mmengine - INFO - Epoch(train) [75][3220/3757] lr: 1.0000e-03 eta: 17:30:50 time: 0.6917 data_time: 0.0214 memory: 17350 grad_norm: 8.5263 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0092 loss: 1.0092 2022/07/24 08:56:05 - mmengine - INFO - Epoch(train) [75][3240/3757] lr: 1.0000e-03 eta: 17:30:37 time: 0.6944 data_time: 0.0230 memory: 17350 grad_norm: 8.5886 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9315 loss: 0.9315 2022/07/24 08:56:17 - mmengine - INFO - Epoch(train) [75][3260/3757] lr: 1.0000e-03 eta: 17:30:23 time: 0.6017 data_time: 0.0210 memory: 17350 grad_norm: 8.4867 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4826 loss: 1.4826 2022/07/24 08:56:32 - mmengine - INFO - Epoch(train) [75][3280/3757] lr: 1.0000e-03 eta: 17:30:11 time: 0.7745 data_time: 0.0228 memory: 17350 grad_norm: 8.4987 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8913 loss: 0.8913 2022/07/24 08:56:43 - mmengine - INFO - Epoch(train) [75][3300/3757] lr: 1.0000e-03 eta: 17:29:56 time: 0.5542 data_time: 0.0237 memory: 17350 grad_norm: 8.0164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9878 loss: 0.9878 2022/07/24 08:56:57 - mmengine - INFO - Epoch(train) [75][3320/3757] lr: 1.0000e-03 eta: 17:29:43 time: 0.7076 data_time: 0.0218 memory: 17350 grad_norm: 8.2078 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2272 loss: 1.2272 2022/07/24 08:57:09 - mmengine - INFO - Epoch(train) [75][3340/3757] lr: 1.0000e-03 eta: 17:29:30 time: 0.6016 data_time: 0.0223 memory: 17350 grad_norm: 8.2186 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0199 loss: 1.0199 2022/07/24 08:57:24 - mmengine - INFO - Epoch(train) [75][3360/3757] lr: 1.0000e-03 eta: 17:29:17 time: 0.7236 data_time: 0.0218 memory: 17350 grad_norm: 8.2485 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0875 loss: 1.0875 2022/07/24 08:57:36 - mmengine - INFO - Epoch(train) [75][3380/3757] lr: 1.0000e-03 eta: 17:29:03 time: 0.5966 data_time: 0.0231 memory: 17350 grad_norm: 8.2251 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0023 loss: 1.0023 2022/07/24 08:57:50 - mmengine - INFO - Epoch(train) [75][3400/3757] lr: 1.0000e-03 eta: 17:28:50 time: 0.7129 data_time: 0.0208 memory: 17350 grad_norm: 7.9792 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9680 loss: 0.9680 2022/07/24 08:58:02 - mmengine - INFO - Epoch(train) [75][3420/3757] lr: 1.0000e-03 eta: 17:28:36 time: 0.5940 data_time: 0.0216 memory: 17350 grad_norm: 8.4268 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2282 loss: 1.2282 2022/07/24 08:58:16 - mmengine - INFO - Epoch(train) [75][3440/3757] lr: 1.0000e-03 eta: 17:28:23 time: 0.7095 data_time: 0.0227 memory: 17350 grad_norm: 8.2153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1039 loss: 1.1039 2022/07/24 08:58:28 - mmengine - INFO - Epoch(train) [75][3460/3757] lr: 1.0000e-03 eta: 17:28:09 time: 0.5879 data_time: 0.0209 memory: 17350 grad_norm: 8.2533 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3942 loss: 1.3942 2022/07/24 08:58:43 - mmengine - INFO - Epoch(train) [75][3480/3757] lr: 1.0000e-03 eta: 17:27:56 time: 0.7332 data_time: 0.0212 memory: 17350 grad_norm: 8.2567 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8139 loss: 0.8139 2022/07/24 08:58:56 - mmengine - INFO - Epoch(train) [75][3500/3757] lr: 1.0000e-03 eta: 17:27:43 time: 0.6534 data_time: 0.0232 memory: 17350 grad_norm: 8.2243 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2006 loss: 1.2006 2022/07/24 08:59:09 - mmengine - INFO - Epoch(train) [75][3520/3757] lr: 1.0000e-03 eta: 17:27:29 time: 0.6614 data_time: 0.0209 memory: 17350 grad_norm: 8.1238 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1310 loss: 1.1310 2022/07/24 08:59:23 - mmengine - INFO - Epoch(train) [75][3540/3757] lr: 1.0000e-03 eta: 17:27:16 time: 0.6814 data_time: 0.0226 memory: 17350 grad_norm: 8.4053 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9218 loss: 0.9218 2022/07/24 08:59:36 - mmengine - INFO - Epoch(train) [75][3560/3757] lr: 1.0000e-03 eta: 17:27:03 time: 0.6622 data_time: 0.0217 memory: 17350 grad_norm: 8.0998 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9402 loss: 0.9402 2022/07/24 08:59:50 - mmengine - INFO - Epoch(train) [75][3580/3757] lr: 1.0000e-03 eta: 17:26:49 time: 0.6809 data_time: 0.0220 memory: 17350 grad_norm: 8.2500 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1179 loss: 1.1179 2022/07/24 09:00:02 - mmengine - INFO - Epoch(train) [75][3600/3757] lr: 1.0000e-03 eta: 17:26:36 time: 0.6319 data_time: 0.0218 memory: 17350 grad_norm: 8.6882 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1285 loss: 1.1285 2022/07/24 09:00:17 - mmengine - INFO - Epoch(train) [75][3620/3757] lr: 1.0000e-03 eta: 17:26:23 time: 0.7162 data_time: 0.0262 memory: 17350 grad_norm: 8.6422 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1963 loss: 1.1963 2022/07/24 09:00:28 - mmengine - INFO - Epoch(train) [75][3640/3757] lr: 1.0000e-03 eta: 17:26:09 time: 0.5925 data_time: 0.0218 memory: 17350 grad_norm: 8.1026 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8567 loss: 0.8567 2022/07/24 09:00:42 - mmengine - INFO - Epoch(train) [75][3660/3757] lr: 1.0000e-03 eta: 17:25:55 time: 0.6558 data_time: 0.0222 memory: 17350 grad_norm: 8.1902 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9781 loss: 0.9781 2022/07/24 09:00:55 - mmengine - INFO - Epoch(train) [75][3680/3757] lr: 1.0000e-03 eta: 17:25:42 time: 0.6834 data_time: 0.0226 memory: 17350 grad_norm: 8.4386 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2493 loss: 1.2493 2022/07/24 09:01:08 - mmengine - INFO - Epoch(train) [75][3700/3757] lr: 1.0000e-03 eta: 17:25:28 time: 0.6184 data_time: 0.0223 memory: 17350 grad_norm: 7.9924 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1496 loss: 1.1496 2022/07/24 09:01:22 - mmengine - INFO - Epoch(train) [75][3720/3757] lr: 1.0000e-03 eta: 17:25:15 time: 0.7109 data_time: 0.0216 memory: 17350 grad_norm: 8.2540 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8076 loss: 0.8076 2022/07/24 09:01:35 - mmengine - INFO - Epoch(train) [75][3740/3757] lr: 1.0000e-03 eta: 17:25:02 time: 0.6410 data_time: 0.0225 memory: 17350 grad_norm: 8.1057 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9652 loss: 0.9652 2022/07/24 09:01:43 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 09:01:43 - mmengine - INFO - Epoch(train) [75][3757/3757] lr: 1.0000e-03 eta: 17:25:02 time: 0.5185 data_time: 0.0225 memory: 17350 grad_norm: 8.2256 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.1340 loss: 1.1340 2022/07/24 09:01:43 - mmengine - INFO - Saving checkpoint at 75 epochs 2022/07/24 09:02:02 - mmengine - INFO - Epoch(val) [75][20/310] eta: 0:04:06 time: 0.8501 data_time: 0.7320 memory: 3406 2022/07/24 09:02:13 - mmengine - INFO - Epoch(val) [75][40/310] eta: 0:02:23 time: 0.5316 data_time: 0.4192 memory: 3406 2022/07/24 09:02:28 - mmengine - INFO - Epoch(val) [75][60/310] eta: 0:03:09 time: 0.7575 data_time: 0.6404 memory: 3406 2022/07/24 09:02:40 - mmengine - INFO - Epoch(val) [75][80/310] eta: 0:02:11 time: 0.5731 data_time: 0.4605 memory: 3406 2022/07/24 09:02:55 - mmengine - INFO - Epoch(val) [75][100/310] eta: 0:02:39 time: 0.7600 data_time: 0.6465 memory: 3406 2022/07/24 09:03:06 - mmengine - INFO - Epoch(val) [75][120/310] eta: 0:01:47 time: 0.5637 data_time: 0.4503 memory: 3406 2022/07/24 09:03:22 - mmengine - INFO - Epoch(val) [75][140/310] eta: 0:02:14 time: 0.7884 data_time: 0.6658 memory: 3406 2022/07/24 09:03:32 - mmengine - INFO - Epoch(val) [75][160/310] eta: 0:01:18 time: 0.5218 data_time: 0.4108 memory: 3406 2022/07/24 09:03:48 - mmengine - INFO - Epoch(val) [75][180/310] eta: 0:01:41 time: 0.7771 data_time: 0.6631 memory: 3406 2022/07/24 09:03:59 - mmengine - INFO - Epoch(val) [75][200/310] eta: 0:01:03 time: 0.5733 data_time: 0.4610 memory: 3406 2022/07/24 09:04:14 - mmengine - INFO - Epoch(val) [75][220/310] eta: 0:01:05 time: 0.7314 data_time: 0.6182 memory: 3406 2022/07/24 09:04:25 - mmengine - INFO - Epoch(val) [75][240/310] eta: 0:00:39 time: 0.5683 data_time: 0.4543 memory: 3406 2022/07/24 09:04:41 - mmengine - INFO - Epoch(val) [75][260/310] eta: 0:00:38 time: 0.7793 data_time: 0.6643 memory: 3406 2022/07/24 09:04:51 - mmengine - INFO - Epoch(val) [75][280/310] eta: 0:00:15 time: 0.5186 data_time: 0.3990 memory: 3406 2022/07/24 09:05:06 - mmengine - INFO - Epoch(val) [75][300/310] eta: 0:00:07 time: 0.7584 data_time: 0.6436 memory: 3406 2022/07/24 09:05:10 - mmengine - INFO - Epoch(val) [75][310/310] acc/top1: 0.6790 acc/top5: 0.8763 acc/mean1: 0.6789 2022/07/24 09:05:28 - mmengine - INFO - Epoch(train) [76][20/3757] lr: 1.0000e-03 eta: 17:24:35 time: 0.8745 data_time: 0.5319 memory: 17350 grad_norm: 8.2938 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1585 loss: 1.1585 2022/07/24 09:05:40 - mmengine - INFO - Epoch(train) [76][40/3757] lr: 1.0000e-03 eta: 17:24:21 time: 0.6185 data_time: 0.2823 memory: 17350 grad_norm: 8.6437 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3305 loss: 1.3305 2022/07/24 09:05:55 - mmengine - INFO - Epoch(train) [76][60/3757] lr: 1.0000e-03 eta: 17:24:08 time: 0.7278 data_time: 0.3912 memory: 17350 grad_norm: 8.2605 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1150 loss: 1.1150 2022/07/24 09:06:07 - mmengine - INFO - Epoch(train) [76][80/3757] lr: 1.0000e-03 eta: 17:23:54 time: 0.6046 data_time: 0.2485 memory: 17350 grad_norm: 8.4317 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2677 loss: 1.2677 2022/07/24 09:06:22 - mmengine - INFO - Epoch(train) [76][100/3757] lr: 1.0000e-03 eta: 17:23:42 time: 0.7445 data_time: 0.4062 memory: 17350 grad_norm: 8.1618 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2575 loss: 1.2575 2022/07/24 09:06:33 - mmengine - INFO - Epoch(train) [76][120/3757] lr: 1.0000e-03 eta: 17:23:28 time: 0.5853 data_time: 0.2516 memory: 17350 grad_norm: 8.2689 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1778 loss: 1.1778 2022/07/24 09:06:49 - mmengine - INFO - Epoch(train) [76][140/3757] lr: 1.0000e-03 eta: 17:23:15 time: 0.7845 data_time: 0.4442 memory: 17350 grad_norm: 8.2833 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9510 loss: 0.9510 2022/07/24 09:07:02 - mmengine - INFO - Epoch(train) [76][160/3757] lr: 1.0000e-03 eta: 17:23:02 time: 0.6413 data_time: 0.3030 memory: 17350 grad_norm: 8.7880 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9849 loss: 0.9849 2022/07/24 09:07:16 - mmengine - INFO - Epoch(train) [76][180/3757] lr: 1.0000e-03 eta: 17:22:48 time: 0.7014 data_time: 0.3286 memory: 17350 grad_norm: 8.7483 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2184 loss: 1.2184 2022/07/24 09:07:28 - mmengine - INFO - Epoch(train) [76][200/3757] lr: 1.0000e-03 eta: 17:22:35 time: 0.6230 data_time: 0.2430 memory: 17350 grad_norm: 8.5659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2684 loss: 1.2684 2022/07/24 09:07:43 - mmengine - INFO - Epoch(train) [76][220/3757] lr: 1.0000e-03 eta: 17:22:22 time: 0.7187 data_time: 0.2679 memory: 17350 grad_norm: 8.2258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9639 loss: 0.9639 2022/07/24 09:07:46 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 09:07:54 - mmengine - INFO - Epoch(train) [76][240/3757] lr: 1.0000e-03 eta: 17:22:08 time: 0.5482 data_time: 0.1673 memory: 17350 grad_norm: 8.3793 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4450 loss: 1.4450 2022/07/24 09:08:08 - mmengine - INFO - Epoch(train) [76][260/3757] lr: 1.0000e-03 eta: 17:21:55 time: 0.7333 data_time: 0.3104 memory: 17350 grad_norm: 8.4378 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1543 loss: 1.1543 2022/07/24 09:08:20 - mmengine - INFO - Epoch(train) [76][280/3757] lr: 1.0000e-03 eta: 17:21:41 time: 0.5864 data_time: 0.1760 memory: 17350 grad_norm: 8.6366 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1206 loss: 1.1206 2022/07/24 09:08:35 - mmengine - INFO - Epoch(train) [76][300/3757] lr: 1.0000e-03 eta: 17:21:28 time: 0.7244 data_time: 0.3274 memory: 17350 grad_norm: 8.3036 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0001 loss: 1.0001 2022/07/24 09:08:47 - mmengine - INFO - Epoch(train) [76][320/3757] lr: 1.0000e-03 eta: 17:21:14 time: 0.6285 data_time: 0.2522 memory: 17350 grad_norm: 8.2053 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0836 loss: 1.0836 2022/07/24 09:09:01 - mmengine - INFO - Epoch(train) [76][340/3757] lr: 1.0000e-03 eta: 17:21:01 time: 0.7019 data_time: 0.2084 memory: 17350 grad_norm: 8.2842 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2074 loss: 1.2074 2022/07/24 09:09:13 - mmengine - INFO - Epoch(train) [76][360/3757] lr: 1.0000e-03 eta: 17:20:47 time: 0.6047 data_time: 0.1548 memory: 17350 grad_norm: 8.3708 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2923 loss: 1.2923 2022/07/24 09:09:28 - mmengine - INFO - Epoch(train) [76][380/3757] lr: 1.0000e-03 eta: 17:20:35 time: 0.7502 data_time: 0.1871 memory: 17350 grad_norm: 8.0642 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1156 loss: 1.1156 2022/07/24 09:09:40 - mmengine - INFO - Epoch(train) [76][400/3757] lr: 1.0000e-03 eta: 17:20:21 time: 0.5796 data_time: 0.1386 memory: 17350 grad_norm: 8.5371 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4170 loss: 1.4170 2022/07/24 09:09:55 - mmengine - INFO - Epoch(train) [76][420/3757] lr: 1.0000e-03 eta: 17:20:08 time: 0.7489 data_time: 0.1767 memory: 17350 grad_norm: 8.3709 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0571 loss: 1.0571 2022/07/24 09:10:08 - mmengine - INFO - Epoch(train) [76][440/3757] lr: 1.0000e-03 eta: 17:19:54 time: 0.6497 data_time: 0.1110 memory: 17350 grad_norm: 8.3450 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1238 loss: 1.1238 2022/07/24 09:10:22 - mmengine - INFO - Epoch(train) [76][460/3757] lr: 1.0000e-03 eta: 17:19:41 time: 0.6871 data_time: 0.0861 memory: 17350 grad_norm: 8.2249 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8536 loss: 0.8536 2022/07/24 09:10:34 - mmengine - INFO - Epoch(train) [76][480/3757] lr: 1.0000e-03 eta: 17:19:28 time: 0.6207 data_time: 0.1203 memory: 17350 grad_norm: 8.4808 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0398 loss: 1.0398 2022/07/24 09:10:49 - mmengine - INFO - Epoch(train) [76][500/3757] lr: 1.0000e-03 eta: 17:19:14 time: 0.7193 data_time: 0.1723 memory: 17350 grad_norm: 8.4037 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2289 loss: 1.2289 2022/07/24 09:11:00 - mmengine - INFO - Epoch(train) [76][520/3757] lr: 1.0000e-03 eta: 17:19:01 time: 0.5780 data_time: 0.1395 memory: 17350 grad_norm: 8.6332 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1750 loss: 1.1750 2022/07/24 09:11:15 - mmengine - INFO - Epoch(train) [76][540/3757] lr: 1.0000e-03 eta: 17:18:48 time: 0.7408 data_time: 0.2748 memory: 17350 grad_norm: 8.2347 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0963 loss: 1.0963 2022/07/24 09:11:27 - mmengine - INFO - Epoch(train) [76][560/3757] lr: 1.0000e-03 eta: 17:18:34 time: 0.5833 data_time: 0.1358 memory: 17350 grad_norm: 7.8440 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2551 loss: 1.2551 2022/07/24 09:11:43 - mmengine - INFO - Epoch(train) [76][580/3757] lr: 1.0000e-03 eta: 17:18:21 time: 0.7940 data_time: 0.4151 memory: 17350 grad_norm: 8.0013 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9227 loss: 0.9227 2022/07/24 09:11:54 - mmengine - INFO - Epoch(train) [76][600/3757] lr: 1.0000e-03 eta: 17:18:07 time: 0.5693 data_time: 0.1845 memory: 17350 grad_norm: 8.4892 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0339 loss: 1.0339 2022/07/24 09:12:09 - mmengine - INFO - Epoch(train) [76][620/3757] lr: 1.0000e-03 eta: 17:17:55 time: 0.7546 data_time: 0.2023 memory: 17350 grad_norm: 8.5770 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2276 loss: 1.2276 2022/07/24 09:12:21 - mmengine - INFO - Epoch(train) [76][640/3757] lr: 1.0000e-03 eta: 17:17:41 time: 0.6136 data_time: 0.0230 memory: 17350 grad_norm: 8.2076 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0622 loss: 1.0622 2022/07/24 09:12:35 - mmengine - INFO - Epoch(train) [76][660/3757] lr: 1.0000e-03 eta: 17:17:28 time: 0.6878 data_time: 0.0259 memory: 17350 grad_norm: 8.4458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8848 loss: 0.8848 2022/07/24 09:12:47 - mmengine - INFO - Epoch(train) [76][680/3757] lr: 1.0000e-03 eta: 17:17:14 time: 0.6029 data_time: 0.0533 memory: 17350 grad_norm: 8.4014 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1697 loss: 1.1697 2022/07/24 09:13:02 - mmengine - INFO - Epoch(train) [76][700/3757] lr: 1.0000e-03 eta: 17:17:01 time: 0.7470 data_time: 0.0292 memory: 17350 grad_norm: 8.1779 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8996 loss: 0.8996 2022/07/24 09:13:14 - mmengine - INFO - Epoch(train) [76][720/3757] lr: 1.0000e-03 eta: 17:16:47 time: 0.5960 data_time: 0.0240 memory: 17350 grad_norm: 8.1385 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9930 loss: 0.9930 2022/07/24 09:13:29 - mmengine - INFO - Epoch(train) [76][740/3757] lr: 1.0000e-03 eta: 17:16:34 time: 0.7289 data_time: 0.0226 memory: 17350 grad_norm: 8.2319 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3436 loss: 1.3436 2022/07/24 09:13:40 - mmengine - INFO - Epoch(train) [76][760/3757] lr: 1.0000e-03 eta: 17:16:20 time: 0.5811 data_time: 0.0231 memory: 17350 grad_norm: 8.4833 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1117 loss: 1.1117 2022/07/24 09:13:55 - mmengine - INFO - Epoch(train) [76][780/3757] lr: 1.0000e-03 eta: 17:16:07 time: 0.7222 data_time: 0.0233 memory: 17350 grad_norm: 7.8462 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.8849 loss: 0.8849 2022/07/24 09:14:06 - mmengine - INFO - Epoch(train) [76][800/3757] lr: 1.0000e-03 eta: 17:15:53 time: 0.5706 data_time: 0.0240 memory: 17350 grad_norm: 8.5860 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8832 loss: 0.8832 2022/07/24 09:14:21 - mmengine - INFO - Epoch(train) [76][820/3757] lr: 1.0000e-03 eta: 17:15:40 time: 0.7248 data_time: 0.0225 memory: 17350 grad_norm: 8.0301 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9935 loss: 0.9935 2022/07/24 09:14:33 - mmengine - INFO - Epoch(train) [76][840/3757] lr: 1.0000e-03 eta: 17:15:27 time: 0.6030 data_time: 0.0231 memory: 17350 grad_norm: 8.1077 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.2493 loss: 1.2493 2022/07/24 09:14:48 - mmengine - INFO - Epoch(train) [76][860/3757] lr: 1.0000e-03 eta: 17:15:14 time: 0.7362 data_time: 0.0229 memory: 17350 grad_norm: 8.2940 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1695 loss: 1.1695 2022/07/24 09:15:00 - mmengine - INFO - Epoch(train) [76][880/3757] lr: 1.0000e-03 eta: 17:15:00 time: 0.6232 data_time: 0.0232 memory: 17350 grad_norm: 8.6165 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1244 loss: 1.1244 2022/07/24 09:15:14 - mmengine - INFO - Epoch(train) [76][900/3757] lr: 1.0000e-03 eta: 17:14:47 time: 0.7202 data_time: 0.0239 memory: 17350 grad_norm: 8.4568 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3245 loss: 1.3245 2022/07/24 09:15:26 - mmengine - INFO - Epoch(train) [76][920/3757] lr: 1.0000e-03 eta: 17:14:33 time: 0.5871 data_time: 0.0440 memory: 17350 grad_norm: 8.1729 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1828 loss: 1.1828 2022/07/24 09:15:41 - mmengine - INFO - Epoch(train) [76][940/3757] lr: 1.0000e-03 eta: 17:14:20 time: 0.7193 data_time: 0.0257 memory: 17350 grad_norm: 8.4219 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3503 loss: 1.3503 2022/07/24 09:15:53 - mmengine - INFO - Epoch(train) [76][960/3757] lr: 1.0000e-03 eta: 17:14:07 time: 0.6327 data_time: 0.0266 memory: 17350 grad_norm: 8.3502 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9616 loss: 0.9616 2022/07/24 09:16:07 - mmengine - INFO - Epoch(train) [76][980/3757] lr: 1.0000e-03 eta: 17:13:53 time: 0.6975 data_time: 0.0233 memory: 17350 grad_norm: 8.5229 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1767 loss: 1.1767 2022/07/24 09:16:20 - mmengine - INFO - Epoch(train) [76][1000/3757] lr: 1.0000e-03 eta: 17:13:40 time: 0.6175 data_time: 0.0381 memory: 17350 grad_norm: 8.6318 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0953 loss: 1.0953 2022/07/24 09:16:34 - mmengine - INFO - Epoch(train) [76][1020/3757] lr: 1.0000e-03 eta: 17:13:27 time: 0.7121 data_time: 0.0369 memory: 17350 grad_norm: 8.1933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1857 loss: 1.1857 2022/07/24 09:16:46 - mmengine - INFO - Epoch(train) [76][1040/3757] lr: 1.0000e-03 eta: 17:13:13 time: 0.6092 data_time: 0.0360 memory: 17350 grad_norm: 8.0253 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8358 loss: 0.8358 2022/07/24 09:17:00 - mmengine - INFO - Epoch(train) [76][1060/3757] lr: 1.0000e-03 eta: 17:13:00 time: 0.6830 data_time: 0.0229 memory: 17350 grad_norm: 8.0182 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0807 loss: 1.0807 2022/07/24 09:17:11 - mmengine - INFO - Epoch(train) [76][1080/3757] lr: 1.0000e-03 eta: 17:12:46 time: 0.5802 data_time: 0.0633 memory: 17350 grad_norm: 8.4810 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2348 loss: 1.2348 2022/07/24 09:17:26 - mmengine - INFO - Epoch(train) [76][1100/3757] lr: 1.0000e-03 eta: 17:12:33 time: 0.7203 data_time: 0.1621 memory: 17350 grad_norm: 8.6143 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9979 loss: 0.9979 2022/07/24 09:17:38 - mmengine - INFO - Epoch(train) [76][1120/3757] lr: 1.0000e-03 eta: 17:12:19 time: 0.6208 data_time: 0.1164 memory: 17350 grad_norm: 8.6750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1602 loss: 1.1602 2022/07/24 09:17:52 - mmengine - INFO - Epoch(train) [76][1140/3757] lr: 1.0000e-03 eta: 17:12:06 time: 0.6947 data_time: 0.2419 memory: 17350 grad_norm: 8.4986 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1741 loss: 1.1741 2022/07/24 09:18:04 - mmengine - INFO - Epoch(train) [76][1160/3757] lr: 1.0000e-03 eta: 17:11:52 time: 0.6078 data_time: 0.2302 memory: 17350 grad_norm: 8.5852 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1021 loss: 1.1021 2022/07/24 09:18:19 - mmengine - INFO - Epoch(train) [76][1180/3757] lr: 1.0000e-03 eta: 17:11:39 time: 0.7238 data_time: 0.3072 memory: 17350 grad_norm: 8.2742 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0877 loss: 1.0877 2022/07/24 09:18:31 - mmengine - INFO - Epoch(train) [76][1200/3757] lr: 1.0000e-03 eta: 17:11:25 time: 0.5898 data_time: 0.2282 memory: 17350 grad_norm: 7.9180 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1922 loss: 1.1922 2022/07/24 09:18:45 - mmengine - INFO - Epoch(train) [76][1220/3757] lr: 1.0000e-03 eta: 17:11:12 time: 0.7319 data_time: 0.3130 memory: 17350 grad_norm: 8.5024 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0425 loss: 1.0425 2022/07/24 09:18:49 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 09:18:58 - mmengine - INFO - Epoch(train) [76][1240/3757] lr: 1.0000e-03 eta: 17:10:59 time: 0.6270 data_time: 0.1654 memory: 17350 grad_norm: 8.2690 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0034 loss: 1.0034 2022/07/24 09:19:11 - mmengine - INFO - Epoch(train) [76][1260/3757] lr: 1.0000e-03 eta: 17:10:45 time: 0.6594 data_time: 0.1216 memory: 17350 grad_norm: 8.1361 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2312 loss: 1.2312 2022/07/24 09:19:25 - mmengine - INFO - Epoch(train) [76][1280/3757] lr: 1.0000e-03 eta: 17:10:32 time: 0.6754 data_time: 0.0544 memory: 17350 grad_norm: 8.3989 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0237 loss: 1.0237 2022/07/24 09:19:38 - mmengine - INFO - Epoch(train) [76][1300/3757] lr: 1.0000e-03 eta: 17:10:19 time: 0.6909 data_time: 0.1324 memory: 17350 grad_norm: 8.6304 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2024 loss: 1.2024 2022/07/24 09:19:51 - mmengine - INFO - Epoch(train) [76][1320/3757] lr: 1.0000e-03 eta: 17:10:05 time: 0.6345 data_time: 0.0576 memory: 17350 grad_norm: 8.0505 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9774 loss: 0.9774 2022/07/24 09:20:06 - mmengine - INFO - Epoch(train) [76][1340/3757] lr: 1.0000e-03 eta: 17:09:53 time: 0.7471 data_time: 0.0218 memory: 17350 grad_norm: 8.0599 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9414 loss: 0.9414 2022/07/24 09:20:18 - mmengine - INFO - Epoch(train) [76][1360/3757] lr: 1.0000e-03 eta: 17:09:39 time: 0.6067 data_time: 0.0251 memory: 17350 grad_norm: 8.1975 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0023 loss: 1.0023 2022/07/24 09:20:33 - mmengine - INFO - Epoch(train) [76][1380/3757] lr: 1.0000e-03 eta: 17:09:26 time: 0.7358 data_time: 0.0438 memory: 17350 grad_norm: 8.6162 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9997 loss: 0.9997 2022/07/24 09:20:45 - mmengine - INFO - Epoch(train) [76][1400/3757] lr: 1.0000e-03 eta: 17:09:12 time: 0.5849 data_time: 0.0258 memory: 17350 grad_norm: 8.1477 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8673 loss: 0.8673 2022/07/24 09:21:00 - mmengine - INFO - Epoch(train) [76][1420/3757] lr: 1.0000e-03 eta: 17:08:59 time: 0.7459 data_time: 0.0235 memory: 17350 grad_norm: 8.0861 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8403 loss: 0.8403 2022/07/24 09:21:12 - mmengine - INFO - Epoch(train) [76][1440/3757] lr: 1.0000e-03 eta: 17:08:45 time: 0.6004 data_time: 0.0223 memory: 17350 grad_norm: 8.5274 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8354 loss: 0.8354 2022/07/24 09:21:26 - mmengine - INFO - Epoch(train) [76][1460/3757] lr: 1.0000e-03 eta: 17:08:32 time: 0.7266 data_time: 0.0222 memory: 17350 grad_norm: 8.4322 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0551 loss: 1.0551 2022/07/24 09:21:38 - mmengine - INFO - Epoch(train) [76][1480/3757] lr: 1.0000e-03 eta: 17:08:19 time: 0.5986 data_time: 0.0226 memory: 17350 grad_norm: 8.5438 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9779 loss: 0.9779 2022/07/24 09:21:52 - mmengine - INFO - Epoch(train) [76][1500/3757] lr: 1.0000e-03 eta: 17:08:05 time: 0.6930 data_time: 0.0511 memory: 17350 grad_norm: 7.8629 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9549 loss: 0.9549 2022/07/24 09:22:04 - mmengine - INFO - Epoch(train) [76][1520/3757] lr: 1.0000e-03 eta: 17:07:52 time: 0.5958 data_time: 0.0602 memory: 17350 grad_norm: 8.5675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0204 loss: 1.0204 2022/07/24 09:22:19 - mmengine - INFO - Epoch(train) [76][1540/3757] lr: 1.0000e-03 eta: 17:07:39 time: 0.7480 data_time: 0.0319 memory: 17350 grad_norm: 8.7255 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0752 loss: 1.0752 2022/07/24 09:22:31 - mmengine - INFO - Epoch(train) [76][1560/3757] lr: 1.0000e-03 eta: 17:07:25 time: 0.6174 data_time: 0.0807 memory: 17350 grad_norm: 8.4690 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2543 loss: 1.2543 2022/07/24 09:22:47 - mmengine - INFO - Epoch(train) [76][1580/3757] lr: 1.0000e-03 eta: 17:07:12 time: 0.7614 data_time: 0.0300 memory: 17350 grad_norm: 8.1483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2449 loss: 1.2449 2022/07/24 09:22:58 - mmengine - INFO - Epoch(train) [76][1600/3757] lr: 1.0000e-03 eta: 17:06:58 time: 0.5641 data_time: 0.0232 memory: 17350 grad_norm: 8.5721 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1342 loss: 1.1342 2022/07/24 09:23:13 - mmengine - INFO - Epoch(train) [76][1620/3757] lr: 1.0000e-03 eta: 17:06:46 time: 0.7569 data_time: 0.0223 memory: 17350 grad_norm: 8.4020 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1398 loss: 1.1398 2022/07/24 09:23:25 - mmengine - INFO - Epoch(train) [76][1640/3757] lr: 1.0000e-03 eta: 17:06:32 time: 0.5897 data_time: 0.0238 memory: 17350 grad_norm: 8.5268 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1195 loss: 1.1195 2022/07/24 09:23:39 - mmengine - INFO - Epoch(train) [76][1660/3757] lr: 1.0000e-03 eta: 17:06:19 time: 0.7297 data_time: 0.0248 memory: 17350 grad_norm: 7.9867 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9964 loss: 0.9964 2022/07/24 09:23:52 - mmengine - INFO - Epoch(train) [76][1680/3757] lr: 1.0000e-03 eta: 17:06:05 time: 0.6231 data_time: 0.0219 memory: 17350 grad_norm: 8.1396 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2515 loss: 1.2515 2022/07/24 09:24:06 - mmengine - INFO - Epoch(train) [76][1700/3757] lr: 1.0000e-03 eta: 17:05:52 time: 0.6923 data_time: 0.0239 memory: 17350 grad_norm: 8.5025 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1646 loss: 1.1646 2022/07/24 09:24:19 - mmengine - INFO - Epoch(train) [76][1720/3757] lr: 1.0000e-03 eta: 17:05:39 time: 0.6405 data_time: 0.0256 memory: 17350 grad_norm: 8.4887 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1864 loss: 1.1864 2022/07/24 09:24:32 - mmengine - INFO - Epoch(train) [76][1740/3757] lr: 1.0000e-03 eta: 17:05:25 time: 0.6728 data_time: 0.0212 memory: 17350 grad_norm: 8.6306 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3168 loss: 1.3168 2022/07/24 09:24:44 - mmengine - INFO - Epoch(train) [76][1760/3757] lr: 1.0000e-03 eta: 17:05:11 time: 0.6068 data_time: 0.0225 memory: 17350 grad_norm: 8.1592 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1366 loss: 1.1366 2022/07/24 09:24:59 - mmengine - INFO - Epoch(train) [76][1780/3757] lr: 1.0000e-03 eta: 17:04:58 time: 0.7239 data_time: 0.0230 memory: 17350 grad_norm: 8.1079 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9532 loss: 0.9532 2022/07/24 09:25:12 - mmengine - INFO - Epoch(train) [76][1800/3757] lr: 1.0000e-03 eta: 17:04:45 time: 0.6431 data_time: 0.0226 memory: 17350 grad_norm: 8.5257 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9618 loss: 0.9618 2022/07/24 09:25:26 - mmengine - INFO - Epoch(train) [76][1820/3757] lr: 1.0000e-03 eta: 17:04:32 time: 0.7423 data_time: 0.0227 memory: 17350 grad_norm: 8.1292 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9609 loss: 0.9609 2022/07/24 09:25:39 - mmengine - INFO - Epoch(train) [76][1840/3757] lr: 1.0000e-03 eta: 17:04:18 time: 0.6183 data_time: 0.0257 memory: 17350 grad_norm: 8.6035 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0722 loss: 1.0722 2022/07/24 09:25:53 - mmengine - INFO - Epoch(train) [76][1860/3757] lr: 1.0000e-03 eta: 17:04:05 time: 0.7292 data_time: 0.0218 memory: 17350 grad_norm: 8.4234 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0703 loss: 1.0703 2022/07/24 09:26:05 - mmengine - INFO - Epoch(train) [76][1880/3757] lr: 1.0000e-03 eta: 17:03:52 time: 0.5958 data_time: 0.0222 memory: 17350 grad_norm: 8.4265 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1178 loss: 1.1178 2022/07/24 09:26:19 - mmengine - INFO - Epoch(train) [76][1900/3757] lr: 1.0000e-03 eta: 17:03:39 time: 0.6988 data_time: 0.0212 memory: 17350 grad_norm: 8.2519 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2416 loss: 1.2416 2022/07/24 09:26:31 - mmengine - INFO - Epoch(train) [76][1920/3757] lr: 1.0000e-03 eta: 17:03:25 time: 0.5904 data_time: 0.0244 memory: 17350 grad_norm: 8.3303 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4461 loss: 1.4461 2022/07/24 09:26:45 - mmengine - INFO - Epoch(train) [76][1940/3757] lr: 1.0000e-03 eta: 17:03:12 time: 0.6994 data_time: 0.0222 memory: 17350 grad_norm: 8.3540 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3602 loss: 1.3602 2022/07/24 09:26:57 - mmengine - INFO - Epoch(train) [76][1960/3757] lr: 1.0000e-03 eta: 17:02:58 time: 0.6088 data_time: 0.0234 memory: 17350 grad_norm: 8.3414 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9969 loss: 0.9969 2022/07/24 09:27:12 - mmengine - INFO - Epoch(train) [76][1980/3757] lr: 1.0000e-03 eta: 17:02:45 time: 0.7100 data_time: 0.0495 memory: 17350 grad_norm: 8.8845 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2550 loss: 1.2550 2022/07/24 09:27:24 - mmengine - INFO - Epoch(train) [76][2000/3757] lr: 1.0000e-03 eta: 17:02:31 time: 0.5973 data_time: 0.1150 memory: 17350 grad_norm: 8.1610 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1158 loss: 1.1158 2022/07/24 09:27:39 - mmengine - INFO - Epoch(train) [76][2020/3757] lr: 1.0000e-03 eta: 17:02:18 time: 0.7489 data_time: 0.1421 memory: 17350 grad_norm: 8.6350 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1312 loss: 1.1312 2022/07/24 09:27:51 - mmengine - INFO - Epoch(train) [76][2040/3757] lr: 1.0000e-03 eta: 17:02:05 time: 0.6417 data_time: 0.0464 memory: 17350 grad_norm: 8.5428 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8480 loss: 0.8480 2022/07/24 09:28:05 - mmengine - INFO - Epoch(train) [76][2060/3757] lr: 1.0000e-03 eta: 17:01:51 time: 0.6754 data_time: 0.0247 memory: 17350 grad_norm: 8.4552 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4311 loss: 1.4311 2022/07/24 09:28:17 - mmengine - INFO - Epoch(train) [76][2080/3757] lr: 1.0000e-03 eta: 17:01:38 time: 0.6070 data_time: 0.0229 memory: 17350 grad_norm: 8.4851 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1061 loss: 1.1061 2022/07/24 09:28:32 - mmengine - INFO - Epoch(train) [76][2100/3757] lr: 1.0000e-03 eta: 17:01:25 time: 0.7315 data_time: 0.0217 memory: 17350 grad_norm: 8.4945 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0670 loss: 1.0670 2022/07/24 09:28:43 - mmengine - INFO - Epoch(train) [76][2120/3757] lr: 1.0000e-03 eta: 17:01:11 time: 0.5800 data_time: 0.0243 memory: 17350 grad_norm: 8.5053 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9231 loss: 0.9231 2022/07/24 09:28:57 - mmengine - INFO - Epoch(train) [76][2140/3757] lr: 1.0000e-03 eta: 17:00:58 time: 0.6891 data_time: 0.0215 memory: 17350 grad_norm: 8.1923 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3008 loss: 1.3008 2022/07/24 09:29:09 - mmengine - INFO - Epoch(train) [76][2160/3757] lr: 1.0000e-03 eta: 17:00:44 time: 0.6066 data_time: 0.0235 memory: 17350 grad_norm: 8.5125 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0610 loss: 1.0610 2022/07/24 09:29:24 - mmengine - INFO - Epoch(train) [76][2180/3757] lr: 1.0000e-03 eta: 17:00:31 time: 0.7519 data_time: 0.0372 memory: 17350 grad_norm: 8.3908 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0355 loss: 1.0355 2022/07/24 09:29:37 - mmengine - INFO - Epoch(train) [76][2200/3757] lr: 1.0000e-03 eta: 17:00:17 time: 0.6134 data_time: 0.0216 memory: 17350 grad_norm: 8.4620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1657 loss: 1.1657 2022/07/24 09:29:52 - mmengine - INFO - Epoch(train) [76][2220/3757] lr: 1.0000e-03 eta: 17:00:05 time: 0.7556 data_time: 0.0208 memory: 17350 grad_norm: 8.7807 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0024 loss: 1.0024 2022/07/24 09:29:54 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 09:30:04 - mmengine - INFO - Epoch(train) [76][2240/3757] lr: 1.0000e-03 eta: 16:59:51 time: 0.5959 data_time: 0.0255 memory: 17350 grad_norm: 8.3365 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1454 loss: 1.1454 2022/07/24 09:30:19 - mmengine - INFO - Epoch(train) [76][2260/3757] lr: 1.0000e-03 eta: 16:59:38 time: 0.7713 data_time: 0.0225 memory: 17350 grad_norm: 8.3808 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2779 loss: 1.2779 2022/07/24 09:30:31 - mmengine - INFO - Epoch(train) [76][2280/3757] lr: 1.0000e-03 eta: 16:59:24 time: 0.5867 data_time: 0.0237 memory: 17350 grad_norm: 8.3471 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1242 loss: 1.1242 2022/07/24 09:30:45 - mmengine - INFO - Epoch(train) [76][2300/3757] lr: 1.0000e-03 eta: 16:59:11 time: 0.7279 data_time: 0.0242 memory: 17350 grad_norm: 8.6008 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9490 loss: 0.9490 2022/07/24 09:30:58 - mmengine - INFO - Epoch(train) [76][2320/3757] lr: 1.0000e-03 eta: 16:58:58 time: 0.6299 data_time: 0.0252 memory: 17350 grad_norm: 8.3610 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1506 loss: 1.1506 2022/07/24 09:31:12 - mmengine - INFO - Epoch(train) [76][2340/3757] lr: 1.0000e-03 eta: 16:58:45 time: 0.7083 data_time: 0.0212 memory: 17350 grad_norm: 8.2445 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1852 loss: 1.1852 2022/07/24 09:31:23 - mmengine - INFO - Epoch(train) [76][2360/3757] lr: 1.0000e-03 eta: 16:58:30 time: 0.5456 data_time: 0.0241 memory: 17350 grad_norm: 8.5594 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3238 loss: 1.3238 2022/07/24 09:31:38 - mmengine - INFO - Epoch(train) [76][2380/3757] lr: 1.0000e-03 eta: 16:58:17 time: 0.7174 data_time: 0.0228 memory: 17350 grad_norm: 8.1130 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0654 loss: 1.0654 2022/07/24 09:31:49 - mmengine - INFO - Epoch(train) [76][2400/3757] lr: 1.0000e-03 eta: 16:58:03 time: 0.5861 data_time: 0.0239 memory: 17350 grad_norm: 8.6841 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0850 loss: 1.0850 2022/07/24 09:32:04 - mmengine - INFO - Epoch(train) [76][2420/3757] lr: 1.0000e-03 eta: 16:57:51 time: 0.7559 data_time: 0.0218 memory: 17350 grad_norm: 8.5689 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1242 loss: 1.1242 2022/07/24 09:32:17 - mmengine - INFO - Epoch(train) [76][2440/3757] lr: 1.0000e-03 eta: 16:57:37 time: 0.6169 data_time: 0.0238 memory: 17350 grad_norm: 8.3937 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0889 loss: 1.0889 2022/07/24 09:32:31 - mmengine - INFO - Epoch(train) [76][2460/3757] lr: 1.0000e-03 eta: 16:57:24 time: 0.7034 data_time: 0.0221 memory: 17350 grad_norm: 8.4920 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3261 loss: 1.3261 2022/07/24 09:32:43 - mmengine - INFO - Epoch(train) [76][2480/3757] lr: 1.0000e-03 eta: 16:57:10 time: 0.6032 data_time: 0.0251 memory: 17350 grad_norm: 8.3316 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8381 loss: 0.8381 2022/07/24 09:32:58 - mmengine - INFO - Epoch(train) [76][2500/3757] lr: 1.0000e-03 eta: 16:56:57 time: 0.7378 data_time: 0.0218 memory: 17350 grad_norm: 8.3131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9501 loss: 0.9501 2022/07/24 09:33:09 - mmengine - INFO - Epoch(train) [76][2520/3757] lr: 1.0000e-03 eta: 16:56:43 time: 0.5877 data_time: 0.0220 memory: 17350 grad_norm: 8.8210 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2631 loss: 1.2631 2022/07/24 09:33:25 - mmengine - INFO - Epoch(train) [76][2540/3757] lr: 1.0000e-03 eta: 16:56:31 time: 0.7532 data_time: 0.0227 memory: 17350 grad_norm: 8.7713 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1575 loss: 1.1575 2022/07/24 09:33:37 - mmengine - INFO - Epoch(train) [76][2560/3757] lr: 1.0000e-03 eta: 16:56:17 time: 0.6105 data_time: 0.0242 memory: 17350 grad_norm: 8.3422 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3909 loss: 1.3909 2022/07/24 09:33:51 - mmengine - INFO - Epoch(train) [76][2580/3757] lr: 1.0000e-03 eta: 16:56:04 time: 0.6954 data_time: 0.0220 memory: 17350 grad_norm: 8.2634 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2471 loss: 1.2471 2022/07/24 09:34:03 - mmengine - INFO - Epoch(train) [76][2600/3757] lr: 1.0000e-03 eta: 16:55:50 time: 0.6142 data_time: 0.0230 memory: 17350 grad_norm: 8.4264 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2389 loss: 1.2389 2022/07/24 09:34:17 - mmengine - INFO - Epoch(train) [76][2620/3757] lr: 1.0000e-03 eta: 16:55:37 time: 0.7236 data_time: 0.0237 memory: 17350 grad_norm: 8.7970 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1101 loss: 1.1101 2022/07/24 09:34:29 - mmengine - INFO - Epoch(train) [76][2640/3757] lr: 1.0000e-03 eta: 16:55:23 time: 0.5913 data_time: 0.0229 memory: 17350 grad_norm: 8.4553 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2234 loss: 1.2234 2022/07/24 09:34:44 - mmengine - INFO - Epoch(train) [76][2660/3757] lr: 1.0000e-03 eta: 16:55:10 time: 0.7398 data_time: 0.0245 memory: 17350 grad_norm: 8.2546 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1974 loss: 1.1974 2022/07/24 09:34:57 - mmengine - INFO - Epoch(train) [76][2680/3757] lr: 1.0000e-03 eta: 16:54:57 time: 0.6247 data_time: 0.0244 memory: 17350 grad_norm: 8.4004 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2193 loss: 1.2193 2022/07/24 09:35:11 - mmengine - INFO - Epoch(train) [76][2700/3757] lr: 1.0000e-03 eta: 16:54:44 time: 0.7228 data_time: 0.0232 memory: 17350 grad_norm: 8.0453 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0894 loss: 1.0894 2022/07/24 09:35:23 - mmengine - INFO - Epoch(train) [76][2720/3757] lr: 1.0000e-03 eta: 16:54:30 time: 0.5965 data_time: 0.0227 memory: 17350 grad_norm: 8.3428 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1982 loss: 1.1982 2022/07/24 09:35:37 - mmengine - INFO - Epoch(train) [76][2740/3757] lr: 1.0000e-03 eta: 16:54:17 time: 0.7055 data_time: 0.0212 memory: 17350 grad_norm: 8.3738 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0823 loss: 1.0823 2022/07/24 09:35:49 - mmengine - INFO - Epoch(train) [76][2760/3757] lr: 1.0000e-03 eta: 16:54:03 time: 0.5848 data_time: 0.0226 memory: 17350 grad_norm: 8.7449 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2722 loss: 1.2722 2022/07/24 09:36:05 - mmengine - INFO - Epoch(train) [76][2780/3757] lr: 1.0000e-03 eta: 16:53:50 time: 0.7878 data_time: 0.0208 memory: 17350 grad_norm: 9.0718 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3488 loss: 1.3488 2022/07/24 09:36:17 - mmengine - INFO - Epoch(train) [76][2800/3757] lr: 1.0000e-03 eta: 16:53:37 time: 0.6278 data_time: 0.0229 memory: 17350 grad_norm: 8.4180 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0159 loss: 1.0159 2022/07/24 09:36:30 - mmengine - INFO - Epoch(train) [76][2820/3757] lr: 1.0000e-03 eta: 16:53:23 time: 0.6346 data_time: 0.0238 memory: 17350 grad_norm: 8.6158 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0252 loss: 1.0252 2022/07/24 09:36:42 - mmengine - INFO - Epoch(train) [76][2840/3757] lr: 1.0000e-03 eta: 16:53:09 time: 0.5835 data_time: 0.0228 memory: 17350 grad_norm: 7.9327 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0078 loss: 1.0078 2022/07/24 09:36:56 - mmengine - INFO - Epoch(train) [76][2860/3757] lr: 1.0000e-03 eta: 16:52:56 time: 0.6970 data_time: 0.0240 memory: 17350 grad_norm: 8.1818 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1441 loss: 1.1441 2022/07/24 09:37:08 - mmengine - INFO - Epoch(train) [76][2880/3757] lr: 1.0000e-03 eta: 16:52:42 time: 0.6109 data_time: 0.0215 memory: 17350 grad_norm: 8.1918 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9365 loss: 0.9365 2022/07/24 09:37:23 - mmengine - INFO - Epoch(train) [76][2900/3757] lr: 1.0000e-03 eta: 16:52:30 time: 0.7538 data_time: 0.0216 memory: 17350 grad_norm: 8.5840 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1823 loss: 1.1823 2022/07/24 09:37:35 - mmengine - INFO - Epoch(train) [76][2920/3757] lr: 1.0000e-03 eta: 16:52:16 time: 0.6090 data_time: 0.0250 memory: 17350 grad_norm: 8.1598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0481 loss: 1.0481 2022/07/24 09:37:49 - mmengine - INFO - Epoch(train) [76][2940/3757] lr: 1.0000e-03 eta: 16:52:03 time: 0.6991 data_time: 0.0220 memory: 17350 grad_norm: 8.5335 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2710 loss: 1.2710 2022/07/24 09:38:02 - mmengine - INFO - Epoch(train) [76][2960/3757] lr: 1.0000e-03 eta: 16:51:49 time: 0.6294 data_time: 0.0255 memory: 17350 grad_norm: 8.3181 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1900 loss: 1.1900 2022/07/24 09:38:17 - mmengine - INFO - Epoch(train) [76][2980/3757] lr: 1.0000e-03 eta: 16:51:36 time: 0.7547 data_time: 0.0228 memory: 17350 grad_norm: 8.4623 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1901 loss: 1.1901 2022/07/24 09:38:29 - mmengine - INFO - Epoch(train) [76][3000/3757] lr: 1.0000e-03 eta: 16:51:23 time: 0.6009 data_time: 0.0339 memory: 17350 grad_norm: 8.6915 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0347 loss: 1.0347 2022/07/24 09:38:44 - mmengine - INFO - Epoch(train) [76][3020/3757] lr: 1.0000e-03 eta: 16:51:10 time: 0.7493 data_time: 0.0218 memory: 17350 grad_norm: 7.9657 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1402 loss: 1.1402 2022/07/24 09:38:56 - mmengine - INFO - Epoch(train) [76][3040/3757] lr: 1.0000e-03 eta: 16:50:56 time: 0.6012 data_time: 0.0257 memory: 17350 grad_norm: 8.2896 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9116 loss: 0.9116 2022/07/24 09:39:09 - mmengine - INFO - Epoch(train) [76][3060/3757] lr: 1.0000e-03 eta: 16:50:43 time: 0.6617 data_time: 0.0228 memory: 17350 grad_norm: 7.8980 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1191 loss: 1.1191 2022/07/24 09:39:21 - mmengine - INFO - Epoch(train) [76][3080/3757] lr: 1.0000e-03 eta: 16:50:29 time: 0.6006 data_time: 0.0237 memory: 17350 grad_norm: 8.1808 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3394 loss: 1.3394 2022/07/24 09:39:36 - mmengine - INFO - Epoch(train) [76][3100/3757] lr: 1.0000e-03 eta: 16:50:16 time: 0.7328 data_time: 0.0214 memory: 17350 grad_norm: 8.4026 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9492 loss: 0.9492 2022/07/24 09:39:48 - mmengine - INFO - Epoch(train) [76][3120/3757] lr: 1.0000e-03 eta: 16:50:02 time: 0.6121 data_time: 0.0228 memory: 17350 grad_norm: 8.4516 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0551 loss: 1.0551 2022/07/24 09:40:03 - mmengine - INFO - Epoch(train) [76][3140/3757] lr: 1.0000e-03 eta: 16:49:49 time: 0.7244 data_time: 0.0228 memory: 17350 grad_norm: 8.4015 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1433 loss: 1.1433 2022/07/24 09:40:15 - mmengine - INFO - Epoch(train) [76][3160/3757] lr: 1.0000e-03 eta: 16:49:36 time: 0.6254 data_time: 0.0280 memory: 17350 grad_norm: 8.5833 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2266 loss: 1.2266 2022/07/24 09:40:30 - mmengine - INFO - Epoch(train) [76][3180/3757] lr: 1.0000e-03 eta: 16:49:23 time: 0.7229 data_time: 0.0229 memory: 17350 grad_norm: 8.1819 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2028 loss: 1.2028 2022/07/24 09:40:42 - mmengine - INFO - Epoch(train) [76][3200/3757] lr: 1.0000e-03 eta: 16:49:09 time: 0.6141 data_time: 0.0257 memory: 17350 grad_norm: 8.4869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0787 loss: 1.0787 2022/07/24 09:40:56 - mmengine - INFO - Epoch(train) [76][3220/3757] lr: 1.0000e-03 eta: 16:48:56 time: 0.7151 data_time: 0.0229 memory: 17350 grad_norm: 8.2378 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1083 loss: 1.1083 2022/07/24 09:40:58 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 09:41:09 - mmengine - INFO - Epoch(train) [76][3240/3757] lr: 1.0000e-03 eta: 16:48:42 time: 0.6188 data_time: 0.0235 memory: 17350 grad_norm: 8.5309 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1713 loss: 1.1713 2022/07/24 09:41:23 - mmengine - INFO - Epoch(train) [76][3260/3757] lr: 1.0000e-03 eta: 16:48:29 time: 0.7100 data_time: 0.0213 memory: 17350 grad_norm: 8.6328 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0973 loss: 1.0973 2022/07/24 09:41:35 - mmengine - INFO - Epoch(train) [76][3280/3757] lr: 1.0000e-03 eta: 16:48:15 time: 0.5909 data_time: 0.0401 memory: 17350 grad_norm: 8.5314 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2587 loss: 1.2587 2022/07/24 09:41:49 - mmengine - INFO - Epoch(train) [76][3300/3757] lr: 1.0000e-03 eta: 16:48:02 time: 0.7161 data_time: 0.0603 memory: 17350 grad_norm: 8.5836 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9304 loss: 0.9304 2022/07/24 09:42:02 - mmengine - INFO - Epoch(train) [76][3320/3757] lr: 1.0000e-03 eta: 16:47:49 time: 0.6613 data_time: 0.2028 memory: 17350 grad_norm: 7.9901 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0861 loss: 1.0861 2022/07/24 09:42:15 - mmengine - INFO - Epoch(train) [76][3340/3757] lr: 1.0000e-03 eta: 16:47:36 time: 0.6582 data_time: 0.1926 memory: 17350 grad_norm: 8.2702 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1531 loss: 1.1531 2022/07/24 09:42:30 - mmengine - INFO - Epoch(train) [76][3360/3757] lr: 1.0000e-03 eta: 16:47:22 time: 0.7115 data_time: 0.2775 memory: 17350 grad_norm: 8.6310 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1949 loss: 1.1949 2022/07/24 09:42:41 - mmengine - INFO - Epoch(train) [76][3380/3757] lr: 1.0000e-03 eta: 16:47:09 time: 0.5837 data_time: 0.1333 memory: 17350 grad_norm: 8.5175 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1509 loss: 1.1509 2022/07/24 09:42:55 - mmengine - INFO - Epoch(train) [76][3400/3757] lr: 1.0000e-03 eta: 16:46:55 time: 0.6827 data_time: 0.2099 memory: 17350 grad_norm: 8.1749 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1787 loss: 1.1787 2022/07/24 09:43:07 - mmengine - INFO - Epoch(train) [76][3420/3757] lr: 1.0000e-03 eta: 16:46:42 time: 0.6155 data_time: 0.1571 memory: 17350 grad_norm: 8.2988 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3278 loss: 1.3278 2022/07/24 09:43:21 - mmengine - INFO - Epoch(train) [76][3440/3757] lr: 1.0000e-03 eta: 16:46:28 time: 0.6786 data_time: 0.1605 memory: 17350 grad_norm: 8.8020 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2275 loss: 1.2275 2022/07/24 09:43:34 - mmengine - INFO - Epoch(train) [76][3460/3757] lr: 1.0000e-03 eta: 16:46:15 time: 0.6369 data_time: 0.1230 memory: 17350 grad_norm: 8.5390 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2372 loss: 1.2372 2022/07/24 09:43:47 - mmengine - INFO - Epoch(train) [76][3480/3757] lr: 1.0000e-03 eta: 16:46:02 time: 0.6817 data_time: 0.0778 memory: 17350 grad_norm: 8.5314 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0977 loss: 1.0977 2022/07/24 09:44:01 - mmengine - INFO - Epoch(train) [76][3500/3757] lr: 1.0000e-03 eta: 16:45:48 time: 0.6561 data_time: 0.0253 memory: 17350 grad_norm: 7.9805 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9255 loss: 0.9255 2022/07/24 09:44:14 - mmengine - INFO - Epoch(train) [76][3520/3757] lr: 1.0000e-03 eta: 16:45:35 time: 0.6594 data_time: 0.1560 memory: 17350 grad_norm: 8.5914 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2095 loss: 1.2095 2022/07/24 09:44:27 - mmengine - INFO - Epoch(train) [76][3540/3757] lr: 1.0000e-03 eta: 16:45:21 time: 0.6562 data_time: 0.1598 memory: 17350 grad_norm: 8.6034 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1625 loss: 1.1625 2022/07/24 09:44:40 - mmengine - INFO - Epoch(train) [76][3560/3757] lr: 1.0000e-03 eta: 16:45:08 time: 0.6795 data_time: 0.2457 memory: 17350 grad_norm: 8.2306 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2373 loss: 1.2373 2022/07/24 09:44:54 - mmengine - INFO - Epoch(train) [76][3580/3757] lr: 1.0000e-03 eta: 16:44:55 time: 0.6759 data_time: 0.1354 memory: 17350 grad_norm: 8.6066 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0888 loss: 1.0888 2022/07/24 09:45:08 - mmengine - INFO - Epoch(train) [76][3600/3757] lr: 1.0000e-03 eta: 16:44:41 time: 0.6806 data_time: 0.1052 memory: 17350 grad_norm: 8.8639 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4584 loss: 1.4584 2022/07/24 09:45:21 - mmengine - INFO - Epoch(train) [76][3620/3757] lr: 1.0000e-03 eta: 16:44:28 time: 0.6562 data_time: 0.0472 memory: 17350 grad_norm: 8.4441 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0428 loss: 1.0428 2022/07/24 09:45:34 - mmengine - INFO - Epoch(train) [76][3640/3757] lr: 1.0000e-03 eta: 16:44:15 time: 0.6734 data_time: 0.0974 memory: 17350 grad_norm: 8.5576 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3289 loss: 1.3289 2022/07/24 09:45:47 - mmengine - INFO - Epoch(train) [76][3660/3757] lr: 1.0000e-03 eta: 16:44:01 time: 0.6376 data_time: 0.1127 memory: 17350 grad_norm: 8.3203 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0212 loss: 1.0212 2022/07/24 09:46:00 - mmengine - INFO - Epoch(train) [76][3680/3757] lr: 1.0000e-03 eta: 16:43:48 time: 0.6625 data_time: 0.0579 memory: 17350 grad_norm: 8.3348 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2328 loss: 1.2328 2022/07/24 09:46:13 - mmengine - INFO - Epoch(train) [76][3700/3757] lr: 1.0000e-03 eta: 16:43:34 time: 0.6529 data_time: 0.0285 memory: 17350 grad_norm: 8.6267 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1394 loss: 1.1394 2022/07/24 09:46:27 - mmengine - INFO - Epoch(train) [76][3720/3757] lr: 1.0000e-03 eta: 16:43:21 time: 0.6762 data_time: 0.0323 memory: 17350 grad_norm: 8.5408 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2624 loss: 1.2624 2022/07/24 09:46:40 - mmengine - INFO - Epoch(train) [76][3740/3757] lr: 1.0000e-03 eta: 16:43:08 time: 0.6557 data_time: 0.0228 memory: 17350 grad_norm: 8.1770 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0526 loss: 1.0526 2022/07/24 09:46:48 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 09:46:48 - mmengine - INFO - Epoch(train) [76][3757/3757] lr: 1.0000e-03 eta: 16:43:08 time: 0.4995 data_time: 0.0232 memory: 17350 grad_norm: 8.7350 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.2053 loss: 1.2053 2022/07/24 09:47:04 - mmengine - INFO - Epoch(val) [76][20/310] eta: 0:03:53 time: 0.8063 data_time: 0.6921 memory: 3406 2022/07/24 09:47:16 - mmengine - INFO - Epoch(val) [76][40/310] eta: 0:02:35 time: 0.5775 data_time: 0.4633 memory: 3406 2022/07/24 09:47:31 - mmengine - INFO - Epoch(val) [76][60/310] eta: 0:03:06 time: 0.7458 data_time: 0.6289 memory: 3406 2022/07/24 09:47:42 - mmengine - INFO - Epoch(val) [76][80/310] eta: 0:02:07 time: 0.5554 data_time: 0.4417 memory: 3406 2022/07/24 09:47:57 - mmengine - INFO - Epoch(val) [76][100/310] eta: 0:02:42 time: 0.7731 data_time: 0.6567 memory: 3406 2022/07/24 09:48:08 - mmengine - INFO - Epoch(val) [76][120/310] eta: 0:01:44 time: 0.5478 data_time: 0.4344 memory: 3406 2022/07/24 09:48:24 - mmengine - INFO - Epoch(val) [76][140/310] eta: 0:02:13 time: 0.7841 data_time: 0.6693 memory: 3406 2022/07/24 09:48:35 - mmengine - INFO - Epoch(val) [76][160/310] eta: 0:01:22 time: 0.5533 data_time: 0.4369 memory: 3406 2022/07/24 09:48:51 - mmengine - INFO - Epoch(val) [76][180/310] eta: 0:01:41 time: 0.7825 data_time: 0.6683 memory: 3406 2022/07/24 09:49:02 - mmengine - INFO - Epoch(val) [76][200/310] eta: 0:01:01 time: 0.5581 data_time: 0.4447 memory: 3406 2022/07/24 09:49:17 - mmengine - INFO - Epoch(val) [76][220/310] eta: 0:01:08 time: 0.7603 data_time: 0.6464 memory: 3406 2022/07/24 09:49:28 - mmengine - INFO - Epoch(val) [76][240/310] eta: 0:00:37 time: 0.5423 data_time: 0.4310 memory: 3406 2022/07/24 09:49:43 - mmengine - INFO - Epoch(val) [76][260/310] eta: 0:00:37 time: 0.7594 data_time: 0.6453 memory: 3406 2022/07/24 09:49:54 - mmengine - INFO - Epoch(val) [76][280/310] eta: 0:00:16 time: 0.5362 data_time: 0.4201 memory: 3406 2022/07/24 09:50:10 - mmengine - INFO - Epoch(val) [76][300/310] eta: 0:00:07 time: 0.7910 data_time: 0.6772 memory: 3406 2022/07/24 09:50:14 - mmengine - INFO - Epoch(val) [76][310/310] acc/top1: 0.6762 acc/top5: 0.8747 acc/mean1: 0.6762 2022/07/24 09:50:32 - mmengine - INFO - Epoch(train) [77][20/3757] lr: 1.0000e-03 eta: 16:42:41 time: 0.8876 data_time: 0.5262 memory: 17350 grad_norm: 8.4523 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2291 loss: 1.2291 2022/07/24 09:50:45 - mmengine - INFO - Epoch(train) [77][40/3757] lr: 1.0000e-03 eta: 16:42:27 time: 0.6356 data_time: 0.2277 memory: 17350 grad_norm: 8.6274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2380 loss: 1.2380 2022/07/24 09:51:00 - mmengine - INFO - Epoch(train) [77][60/3757] lr: 1.0000e-03 eta: 16:42:14 time: 0.7551 data_time: 0.2913 memory: 17350 grad_norm: 8.4490 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0035 loss: 1.0035 2022/07/24 09:51:13 - mmengine - INFO - Epoch(train) [77][80/3757] lr: 1.0000e-03 eta: 16:42:01 time: 0.6184 data_time: 0.1337 memory: 17350 grad_norm: 8.4717 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1501 loss: 1.1501 2022/07/24 09:51:27 - mmengine - INFO - Epoch(train) [77][100/3757] lr: 1.0000e-03 eta: 16:41:48 time: 0.7193 data_time: 0.1285 memory: 17350 grad_norm: 8.1624 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9979 loss: 0.9979 2022/07/24 09:51:39 - mmengine - INFO - Epoch(train) [77][120/3757] lr: 1.0000e-03 eta: 16:41:34 time: 0.6268 data_time: 0.0912 memory: 17350 grad_norm: 8.3524 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0725 loss: 1.0725 2022/07/24 09:51:54 - mmengine - INFO - Epoch(train) [77][140/3757] lr: 1.0000e-03 eta: 16:41:21 time: 0.7064 data_time: 0.0782 memory: 17350 grad_norm: 8.5911 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0481 loss: 1.0481 2022/07/24 09:52:06 - mmengine - INFO - Epoch(train) [77][160/3757] lr: 1.0000e-03 eta: 16:41:08 time: 0.6330 data_time: 0.0928 memory: 17350 grad_norm: 8.6838 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1982 loss: 1.1982 2022/07/24 09:52:21 - mmengine - INFO - Epoch(train) [77][180/3757] lr: 1.0000e-03 eta: 16:40:55 time: 0.7235 data_time: 0.0661 memory: 17350 grad_norm: 8.0215 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9596 loss: 0.9596 2022/07/24 09:52:33 - mmengine - INFO - Epoch(train) [77][200/3757] lr: 1.0000e-03 eta: 16:40:41 time: 0.5935 data_time: 0.0245 memory: 17350 grad_norm: 8.6991 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2233 loss: 1.2233 2022/07/24 09:52:47 - mmengine - INFO - Epoch(train) [77][220/3757] lr: 1.0000e-03 eta: 16:40:28 time: 0.7260 data_time: 0.0249 memory: 17350 grad_norm: 8.1282 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3225 loss: 1.3225 2022/07/24 09:52:59 - mmengine - INFO - Epoch(train) [77][240/3757] lr: 1.0000e-03 eta: 16:40:14 time: 0.5965 data_time: 0.0223 memory: 17350 grad_norm: 8.2453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9460 loss: 0.9460 2022/07/24 09:53:14 - mmengine - INFO - Epoch(train) [77][260/3757] lr: 1.0000e-03 eta: 16:40:01 time: 0.7212 data_time: 0.0219 memory: 17350 grad_norm: 8.1948 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2421 loss: 1.2421 2022/07/24 09:53:26 - mmengine - INFO - Epoch(train) [77][280/3757] lr: 1.0000e-03 eta: 16:39:47 time: 0.6049 data_time: 0.0500 memory: 17350 grad_norm: 8.1566 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9455 loss: 0.9455 2022/07/24 09:53:40 - mmengine - INFO - Epoch(train) [77][300/3757] lr: 1.0000e-03 eta: 16:39:34 time: 0.7354 data_time: 0.0425 memory: 17350 grad_norm: 8.2944 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2241 loss: 1.2241 2022/07/24 09:53:52 - mmengine - INFO - Epoch(train) [77][320/3757] lr: 1.0000e-03 eta: 16:39:20 time: 0.5977 data_time: 0.0251 memory: 17350 grad_norm: 8.2634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2060 loss: 1.2060 2022/07/24 09:54:08 - mmengine - INFO - Epoch(train) [77][340/3757] lr: 1.0000e-03 eta: 16:39:08 time: 0.7529 data_time: 0.0292 memory: 17350 grad_norm: 8.6513 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1569 loss: 1.1569 2022/07/24 09:54:19 - mmengine - INFO - Epoch(train) [77][360/3757] lr: 1.0000e-03 eta: 16:38:54 time: 0.5940 data_time: 0.0309 memory: 17350 grad_norm: 8.3347 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9167 loss: 0.9167 2022/07/24 09:54:34 - mmengine - INFO - Epoch(train) [77][380/3757] lr: 1.0000e-03 eta: 16:38:41 time: 0.7425 data_time: 0.0234 memory: 17350 grad_norm: 8.0895 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1635 loss: 1.1635 2022/07/24 09:54:46 - mmengine - INFO - Epoch(train) [77][400/3757] lr: 1.0000e-03 eta: 16:38:27 time: 0.5804 data_time: 0.0223 memory: 17350 grad_norm: 8.6780 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2820 loss: 1.2820 2022/07/24 09:55:01 - mmengine - INFO - Epoch(train) [77][420/3757] lr: 1.0000e-03 eta: 16:38:14 time: 0.7319 data_time: 0.0252 memory: 17350 grad_norm: 8.3529 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1179 loss: 1.1179 2022/07/24 09:55:14 - mmengine - INFO - Epoch(train) [77][440/3757] lr: 1.0000e-03 eta: 16:38:01 time: 0.6488 data_time: 0.0177 memory: 17350 grad_norm: 7.8622 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2688 loss: 1.2688 2022/07/24 09:55:28 - mmengine - INFO - Epoch(train) [77][460/3757] lr: 1.0000e-03 eta: 16:37:48 time: 0.7042 data_time: 0.0258 memory: 17350 grad_norm: 8.3157 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8550 loss: 0.8550 2022/07/24 09:55:33 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 09:55:40 - mmengine - INFO - Epoch(train) [77][480/3757] lr: 1.0000e-03 eta: 16:37:34 time: 0.5999 data_time: 0.0232 memory: 17350 grad_norm: 8.6446 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0312 loss: 1.0312 2022/07/24 09:55:54 - mmengine - INFO - Epoch(train) [77][500/3757] lr: 1.0000e-03 eta: 16:37:21 time: 0.7252 data_time: 0.0219 memory: 17350 grad_norm: 8.5128 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9897 loss: 0.9897 2022/07/24 09:56:06 - mmengine - INFO - Epoch(train) [77][520/3757] lr: 1.0000e-03 eta: 16:37:07 time: 0.6060 data_time: 0.0587 memory: 17350 grad_norm: 8.5741 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3504 loss: 1.3504 2022/07/24 09:56:21 - mmengine - INFO - Epoch(train) [77][540/3757] lr: 1.0000e-03 eta: 16:36:54 time: 0.7268 data_time: 0.0625 memory: 17350 grad_norm: 8.6296 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3243 loss: 1.3243 2022/07/24 09:56:33 - mmengine - INFO - Epoch(train) [77][560/3757] lr: 1.0000e-03 eta: 16:36:40 time: 0.5881 data_time: 0.0220 memory: 17350 grad_norm: 8.4045 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1099 loss: 1.1099 2022/07/24 09:56:48 - mmengine - INFO - Epoch(train) [77][580/3757] lr: 1.0000e-03 eta: 16:36:27 time: 0.7484 data_time: 0.0241 memory: 17350 grad_norm: 8.3250 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1104 loss: 1.1104 2022/07/24 09:57:00 - mmengine - INFO - Epoch(train) [77][600/3757] lr: 1.0000e-03 eta: 16:36:14 time: 0.6132 data_time: 0.0234 memory: 17350 grad_norm: 8.5436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9801 loss: 0.9801 2022/07/24 09:57:14 - mmengine - INFO - Epoch(train) [77][620/3757] lr: 1.0000e-03 eta: 16:36:01 time: 0.7175 data_time: 0.0212 memory: 17350 grad_norm: 8.3516 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0544 loss: 1.0544 2022/07/24 09:57:26 - mmengine - INFO - Epoch(train) [77][640/3757] lr: 1.0000e-03 eta: 16:35:47 time: 0.5764 data_time: 0.0246 memory: 17350 grad_norm: 8.4362 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0255 loss: 1.0255 2022/07/24 09:57:41 - mmengine - INFO - Epoch(train) [77][660/3757] lr: 1.0000e-03 eta: 16:35:34 time: 0.7526 data_time: 0.0306 memory: 17350 grad_norm: 8.1151 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1694 loss: 1.1694 2022/07/24 09:57:53 - mmengine - INFO - Epoch(train) [77][680/3757] lr: 1.0000e-03 eta: 16:35:20 time: 0.5958 data_time: 0.0226 memory: 17350 grad_norm: 8.3422 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0447 loss: 1.0447 2022/07/24 09:58:08 - mmengine - INFO - Epoch(train) [77][700/3757] lr: 1.0000e-03 eta: 16:35:07 time: 0.7440 data_time: 0.0181 memory: 17350 grad_norm: 8.3303 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2020 loss: 1.2020 2022/07/24 09:58:20 - mmengine - INFO - Epoch(train) [77][720/3757] lr: 1.0000e-03 eta: 16:34:54 time: 0.6097 data_time: 0.0232 memory: 17350 grad_norm: 8.4177 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1175 loss: 1.1175 2022/07/24 09:58:34 - mmengine - INFO - Epoch(train) [77][740/3757] lr: 1.0000e-03 eta: 16:34:41 time: 0.7149 data_time: 0.0234 memory: 17350 grad_norm: 8.3631 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9370 loss: 0.9370 2022/07/24 09:58:47 - mmengine - INFO - Epoch(train) [77][760/3757] lr: 1.0000e-03 eta: 16:34:27 time: 0.6199 data_time: 0.0214 memory: 17350 grad_norm: 8.2948 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2084 loss: 1.2084 2022/07/24 09:59:01 - mmengine - INFO - Epoch(train) [77][780/3757] lr: 1.0000e-03 eta: 16:34:14 time: 0.7214 data_time: 0.0231 memory: 17350 grad_norm: 8.4586 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1123 loss: 1.1123 2022/07/24 09:59:13 - mmengine - INFO - Epoch(train) [77][800/3757] lr: 1.0000e-03 eta: 16:34:00 time: 0.5899 data_time: 0.0215 memory: 17350 grad_norm: 8.5156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3458 loss: 1.3458 2022/07/24 09:59:28 - mmengine - INFO - Epoch(train) [77][820/3757] lr: 1.0000e-03 eta: 16:33:47 time: 0.7439 data_time: 0.0257 memory: 17350 grad_norm: 8.4646 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1307 loss: 1.1307 2022/07/24 09:59:39 - mmengine - INFO - Epoch(train) [77][840/3757] lr: 1.0000e-03 eta: 16:33:33 time: 0.5779 data_time: 0.0246 memory: 17350 grad_norm: 8.4714 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0165 loss: 1.0165 2022/07/24 09:59:55 - mmengine - INFO - Epoch(train) [77][860/3757] lr: 1.0000e-03 eta: 16:33:21 time: 0.7615 data_time: 0.0216 memory: 17350 grad_norm: 8.6625 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9863 loss: 0.9863 2022/07/24 10:00:07 - mmengine - INFO - Epoch(train) [77][880/3757] lr: 1.0000e-03 eta: 16:33:07 time: 0.6381 data_time: 0.0218 memory: 17350 grad_norm: 8.7912 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0792 loss: 1.0792 2022/07/24 10:00:22 - mmengine - INFO - Epoch(train) [77][900/3757] lr: 1.0000e-03 eta: 16:32:54 time: 0.7120 data_time: 0.0241 memory: 17350 grad_norm: 8.3508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1171 loss: 1.1171 2022/07/24 10:00:33 - mmengine - INFO - Epoch(train) [77][920/3757] lr: 1.0000e-03 eta: 16:32:40 time: 0.5750 data_time: 0.0220 memory: 17350 grad_norm: 8.2860 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0279 loss: 1.0279 2022/07/24 10:00:48 - mmengine - INFO - Epoch(train) [77][940/3757] lr: 1.0000e-03 eta: 16:32:27 time: 0.7215 data_time: 0.0236 memory: 17350 grad_norm: 8.0334 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1278 loss: 1.1278 2022/07/24 10:01:00 - mmengine - INFO - Epoch(train) [77][960/3757] lr: 1.0000e-03 eta: 16:32:13 time: 0.6232 data_time: 0.0227 memory: 17350 grad_norm: 8.4749 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3026 loss: 1.3026 2022/07/24 10:01:14 - mmengine - INFO - Epoch(train) [77][980/3757] lr: 1.0000e-03 eta: 16:32:00 time: 0.7085 data_time: 0.0215 memory: 17350 grad_norm: 8.6216 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0958 loss: 1.0958 2022/07/24 10:01:27 - mmengine - INFO - Epoch(train) [77][1000/3757] lr: 1.0000e-03 eta: 16:31:47 time: 0.6261 data_time: 0.0233 memory: 17350 grad_norm: 8.4477 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0693 loss: 1.0693 2022/07/24 10:01:42 - mmengine - INFO - Epoch(train) [77][1020/3757] lr: 1.0000e-03 eta: 16:31:34 time: 0.7537 data_time: 0.0239 memory: 17350 grad_norm: 8.1478 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1657 loss: 1.1657 2022/07/24 10:01:54 - mmengine - INFO - Epoch(train) [77][1040/3757] lr: 1.0000e-03 eta: 16:31:20 time: 0.6004 data_time: 0.0219 memory: 17350 grad_norm: 8.7717 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1071 loss: 1.1071 2022/07/24 10:02:09 - mmengine - INFO - Epoch(train) [77][1060/3757] lr: 1.0000e-03 eta: 16:31:07 time: 0.7538 data_time: 0.0262 memory: 17350 grad_norm: 8.4765 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1115 loss: 1.1115 2022/07/24 10:02:21 - mmengine - INFO - Epoch(train) [77][1080/3757] lr: 1.0000e-03 eta: 16:30:53 time: 0.5762 data_time: 0.0242 memory: 17350 grad_norm: 8.2101 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2504 loss: 1.2504 2022/07/24 10:02:35 - mmengine - INFO - Epoch(train) [77][1100/3757] lr: 1.0000e-03 eta: 16:30:40 time: 0.7289 data_time: 0.0236 memory: 17350 grad_norm: 8.1490 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0084 loss: 1.0084 2022/07/24 10:02:47 - mmengine - INFO - Epoch(train) [77][1120/3757] lr: 1.0000e-03 eta: 16:30:27 time: 0.5902 data_time: 0.0222 memory: 17350 grad_norm: 8.1933 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1165 loss: 1.1165 2022/07/24 10:03:01 - mmengine - INFO - Epoch(train) [77][1140/3757] lr: 1.0000e-03 eta: 16:30:14 time: 0.7124 data_time: 0.0225 memory: 17350 grad_norm: 8.6749 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3097 loss: 1.3097 2022/07/24 10:03:13 - mmengine - INFO - Epoch(train) [77][1160/3757] lr: 1.0000e-03 eta: 16:30:00 time: 0.5869 data_time: 0.0223 memory: 17350 grad_norm: 8.4510 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8103 loss: 0.8103 2022/07/24 10:03:27 - mmengine - INFO - Epoch(train) [77][1180/3757] lr: 1.0000e-03 eta: 16:29:47 time: 0.7122 data_time: 0.0217 memory: 17350 grad_norm: 8.3325 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1626 loss: 1.1626 2022/07/24 10:03:39 - mmengine - INFO - Epoch(train) [77][1200/3757] lr: 1.0000e-03 eta: 16:29:33 time: 0.6069 data_time: 0.0227 memory: 17350 grad_norm: 8.5423 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2229 loss: 1.2229 2022/07/24 10:03:54 - mmengine - INFO - Epoch(train) [77][1220/3757] lr: 1.0000e-03 eta: 16:29:20 time: 0.7328 data_time: 0.0212 memory: 17350 grad_norm: 8.3892 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2654 loss: 1.2654 2022/07/24 10:04:06 - mmengine - INFO - Epoch(train) [77][1240/3757] lr: 1.0000e-03 eta: 16:29:06 time: 0.6127 data_time: 0.0221 memory: 17350 grad_norm: 8.2501 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8850 loss: 0.8850 2022/07/24 10:04:21 - mmengine - INFO - Epoch(train) [77][1260/3757] lr: 1.0000e-03 eta: 16:28:53 time: 0.7156 data_time: 0.0235 memory: 17350 grad_norm: 8.5748 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2580 loss: 1.2580 2022/07/24 10:04:33 - mmengine - INFO - Epoch(train) [77][1280/3757] lr: 1.0000e-03 eta: 16:28:40 time: 0.6117 data_time: 0.0219 memory: 17350 grad_norm: 8.4683 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0257 loss: 1.0257 2022/07/24 10:04:48 - mmengine - INFO - Epoch(train) [77][1300/3757] lr: 1.0000e-03 eta: 16:28:27 time: 0.7472 data_time: 0.0231 memory: 17350 grad_norm: 8.3800 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0426 loss: 1.0426 2022/07/24 10:04:59 - mmengine - INFO - Epoch(train) [77][1320/3757] lr: 1.0000e-03 eta: 16:28:13 time: 0.5641 data_time: 0.0230 memory: 17350 grad_norm: 9.1181 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0722 loss: 1.0722 2022/07/24 10:05:14 - mmengine - INFO - Epoch(train) [77][1340/3757] lr: 1.0000e-03 eta: 16:28:00 time: 0.7295 data_time: 0.0139 memory: 17350 grad_norm: 8.5775 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2399 loss: 1.2399 2022/07/24 10:05:26 - mmengine - INFO - Epoch(train) [77][1360/3757] lr: 1.0000e-03 eta: 16:27:46 time: 0.6116 data_time: 0.0220 memory: 17350 grad_norm: 8.3460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0554 loss: 1.0554 2022/07/24 10:05:42 - mmengine - INFO - Epoch(train) [77][1380/3757] lr: 1.0000e-03 eta: 16:27:33 time: 0.7711 data_time: 0.0226 memory: 17350 grad_norm: 8.1878 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9482 loss: 0.9482 2022/07/24 10:05:53 - mmengine - INFO - Epoch(train) [77][1400/3757] lr: 1.0000e-03 eta: 16:27:20 time: 0.5936 data_time: 0.0254 memory: 17350 grad_norm: 8.1424 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9594 loss: 0.9594 2022/07/24 10:06:08 - mmengine - INFO - Epoch(train) [77][1420/3757] lr: 1.0000e-03 eta: 16:27:07 time: 0.7446 data_time: 0.0243 memory: 17350 grad_norm: 8.7795 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2326 loss: 1.2326 2022/07/24 10:06:20 - mmengine - INFO - Epoch(train) [77][1440/3757] lr: 1.0000e-03 eta: 16:26:53 time: 0.5811 data_time: 0.0287 memory: 17350 grad_norm: 8.5557 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0385 loss: 1.0385 2022/07/24 10:06:34 - mmengine - INFO - Epoch(train) [77][1460/3757] lr: 1.0000e-03 eta: 16:26:40 time: 0.6994 data_time: 0.0237 memory: 17350 grad_norm: 8.4494 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0678 loss: 1.0678 2022/07/24 10:06:39 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 10:06:46 - mmengine - INFO - Epoch(train) [77][1480/3757] lr: 1.0000e-03 eta: 16:26:26 time: 0.6109 data_time: 0.0208 memory: 17350 grad_norm: 8.4864 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1826 loss: 1.1826 2022/07/24 10:07:00 - mmengine - INFO - Epoch(train) [77][1500/3757] lr: 1.0000e-03 eta: 16:26:13 time: 0.7048 data_time: 0.0214 memory: 17350 grad_norm: 8.3838 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0436 loss: 1.0436 2022/07/24 10:07:11 - mmengine - INFO - Epoch(train) [77][1520/3757] lr: 1.0000e-03 eta: 16:25:59 time: 0.5510 data_time: 0.0449 memory: 17350 grad_norm: 8.6056 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2069 loss: 1.2069 2022/07/24 10:07:26 - mmengine - INFO - Epoch(train) [77][1540/3757] lr: 1.0000e-03 eta: 16:25:46 time: 0.7271 data_time: 0.1506 memory: 17350 grad_norm: 8.6836 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0788 loss: 1.0788 2022/07/24 10:07:38 - mmengine - INFO - Epoch(train) [77][1560/3757] lr: 1.0000e-03 eta: 16:25:32 time: 0.6174 data_time: 0.0336 memory: 17350 grad_norm: 8.4116 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2859 loss: 1.2859 2022/07/24 10:07:53 - mmengine - INFO - Epoch(train) [77][1580/3757] lr: 1.0000e-03 eta: 16:25:19 time: 0.7134 data_time: 0.0368 memory: 17350 grad_norm: 8.4913 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0114 loss: 1.0114 2022/07/24 10:08:05 - mmengine - INFO - Epoch(train) [77][1600/3757] lr: 1.0000e-03 eta: 16:25:05 time: 0.6168 data_time: 0.0220 memory: 17350 grad_norm: 8.5317 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2155 loss: 1.2155 2022/07/24 10:08:20 - mmengine - INFO - Epoch(train) [77][1620/3757] lr: 1.0000e-03 eta: 16:24:52 time: 0.7362 data_time: 0.0230 memory: 17350 grad_norm: 8.2092 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0959 loss: 1.0959 2022/07/24 10:08:32 - mmengine - INFO - Epoch(train) [77][1640/3757] lr: 1.0000e-03 eta: 16:24:39 time: 0.6117 data_time: 0.0221 memory: 17350 grad_norm: 8.6486 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0129 loss: 1.0129 2022/07/24 10:08:47 - mmengine - INFO - Epoch(train) [77][1660/3757] lr: 1.0000e-03 eta: 16:24:26 time: 0.7415 data_time: 0.0217 memory: 17350 grad_norm: 8.3115 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2330 loss: 1.2330 2022/07/24 10:08:59 - mmengine - INFO - Epoch(train) [77][1680/3757] lr: 1.0000e-03 eta: 16:24:12 time: 0.6163 data_time: 0.0226 memory: 17350 grad_norm: 8.5558 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2847 loss: 1.2847 2022/07/24 10:09:14 - mmengine - INFO - Epoch(train) [77][1700/3757] lr: 1.0000e-03 eta: 16:23:59 time: 0.7240 data_time: 0.0230 memory: 17350 grad_norm: 8.4802 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1002 loss: 1.1002 2022/07/24 10:09:25 - mmengine - INFO - Epoch(train) [77][1720/3757] lr: 1.0000e-03 eta: 16:23:45 time: 0.5814 data_time: 0.0213 memory: 17350 grad_norm: 8.7014 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2716 loss: 1.2716 2022/07/24 10:09:40 - mmengine - INFO - Epoch(train) [77][1740/3757] lr: 1.0000e-03 eta: 16:23:32 time: 0.7410 data_time: 0.0235 memory: 17350 grad_norm: 8.3695 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0091 loss: 1.0091 2022/07/24 10:09:52 - mmengine - INFO - Epoch(train) [77][1760/3757] lr: 1.0000e-03 eta: 16:23:19 time: 0.5982 data_time: 0.0254 memory: 17350 grad_norm: 7.8669 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8739 loss: 0.8739 2022/07/24 10:10:07 - mmengine - INFO - Epoch(train) [77][1780/3757] lr: 1.0000e-03 eta: 16:23:06 time: 0.7357 data_time: 0.0330 memory: 17350 grad_norm: 8.4634 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1625 loss: 1.1625 2022/07/24 10:10:19 - mmengine - INFO - Epoch(train) [77][1800/3757] lr: 1.0000e-03 eta: 16:22:52 time: 0.6228 data_time: 0.0246 memory: 17350 grad_norm: 8.8721 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2042 loss: 1.2042 2022/07/24 10:10:33 - mmengine - INFO - Epoch(train) [77][1820/3757] lr: 1.0000e-03 eta: 16:22:39 time: 0.7037 data_time: 0.0298 memory: 17350 grad_norm: 8.7210 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1433 loss: 1.1433 2022/07/24 10:10:46 - mmengine - INFO - Epoch(train) [77][1840/3757] lr: 1.0000e-03 eta: 16:22:25 time: 0.6297 data_time: 0.0215 memory: 17350 grad_norm: 8.7333 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0730 loss: 1.0730 2022/07/24 10:11:00 - mmengine - INFO - Epoch(train) [77][1860/3757] lr: 1.0000e-03 eta: 16:22:12 time: 0.7181 data_time: 0.0305 memory: 17350 grad_norm: 8.3249 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1456 loss: 1.1456 2022/07/24 10:11:12 - mmengine - INFO - Epoch(train) [77][1880/3757] lr: 1.0000e-03 eta: 16:21:59 time: 0.5780 data_time: 0.0216 memory: 17350 grad_norm: 8.2760 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9872 loss: 0.9872 2022/07/24 10:11:27 - mmengine - INFO - Epoch(train) [77][1900/3757] lr: 1.0000e-03 eta: 16:21:46 time: 0.7324 data_time: 0.0223 memory: 17350 grad_norm: 8.4334 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9088 loss: 0.9088 2022/07/24 10:11:39 - mmengine - INFO - Epoch(train) [77][1920/3757] lr: 1.0000e-03 eta: 16:21:32 time: 0.6168 data_time: 0.0227 memory: 17350 grad_norm: 8.0927 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9732 loss: 0.9732 2022/07/24 10:11:53 - mmengine - INFO - Epoch(train) [77][1940/3757] lr: 1.0000e-03 eta: 16:21:19 time: 0.7042 data_time: 0.0240 memory: 17350 grad_norm: 8.9317 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0956 loss: 1.0956 2022/07/24 10:12:04 - mmengine - INFO - Epoch(train) [77][1960/3757] lr: 1.0000e-03 eta: 16:21:05 time: 0.5636 data_time: 0.0206 memory: 17350 grad_norm: 8.5736 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1150 loss: 1.1150 2022/07/24 10:12:19 - mmengine - INFO - Epoch(train) [77][1980/3757] lr: 1.0000e-03 eta: 16:20:52 time: 0.7190 data_time: 0.0223 memory: 17350 grad_norm: 8.3597 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1307 loss: 1.1307 2022/07/24 10:12:31 - mmengine - INFO - Epoch(train) [77][2000/3757] lr: 1.0000e-03 eta: 16:20:38 time: 0.6141 data_time: 0.0240 memory: 17350 grad_norm: 8.5172 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1167 loss: 1.1167 2022/07/24 10:12:46 - mmengine - INFO - Epoch(train) [77][2020/3757] lr: 1.0000e-03 eta: 16:20:25 time: 0.7306 data_time: 0.0231 memory: 17350 grad_norm: 8.4014 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3106 loss: 1.3106 2022/07/24 10:12:58 - mmengine - INFO - Epoch(train) [77][2040/3757] lr: 1.0000e-03 eta: 16:20:12 time: 0.6230 data_time: 0.0252 memory: 17350 grad_norm: 8.8656 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1215 loss: 1.1215 2022/07/24 10:13:12 - mmengine - INFO - Epoch(train) [77][2060/3757] lr: 1.0000e-03 eta: 16:19:58 time: 0.7094 data_time: 0.0267 memory: 17350 grad_norm: 8.3522 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2685 loss: 1.2685 2022/07/24 10:13:24 - mmengine - INFO - Epoch(train) [77][2080/3757] lr: 1.0000e-03 eta: 16:19:45 time: 0.5813 data_time: 0.0219 memory: 17350 grad_norm: 8.7150 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9613 loss: 0.9613 2022/07/24 10:13:39 - mmengine - INFO - Epoch(train) [77][2100/3757] lr: 1.0000e-03 eta: 16:19:32 time: 0.7453 data_time: 0.0317 memory: 17350 grad_norm: 8.4835 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0966 loss: 1.0966 2022/07/24 10:13:51 - mmengine - INFO - Epoch(train) [77][2120/3757] lr: 1.0000e-03 eta: 16:19:18 time: 0.5981 data_time: 0.0233 memory: 17350 grad_norm: 8.6709 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3954 loss: 1.3954 2022/07/24 10:14:05 - mmengine - INFO - Epoch(train) [77][2140/3757] lr: 1.0000e-03 eta: 16:19:05 time: 0.7197 data_time: 0.0291 memory: 17350 grad_norm: 8.8262 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1897 loss: 1.1897 2022/07/24 10:14:18 - mmengine - INFO - Epoch(train) [77][2160/3757] lr: 1.0000e-03 eta: 16:18:51 time: 0.6371 data_time: 0.0579 memory: 17350 grad_norm: 8.6726 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7310 loss: 0.7310 2022/07/24 10:14:32 - mmengine - INFO - Epoch(train) [77][2180/3757] lr: 1.0000e-03 eta: 16:18:38 time: 0.7109 data_time: 0.0896 memory: 17350 grad_norm: 8.5083 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0200 loss: 1.0200 2022/07/24 10:14:45 - mmengine - INFO - Epoch(train) [77][2200/3757] lr: 1.0000e-03 eta: 16:18:25 time: 0.6282 data_time: 0.1776 memory: 17350 grad_norm: 8.2095 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0597 loss: 1.0597 2022/07/24 10:14:59 - mmengine - INFO - Epoch(train) [77][2220/3757] lr: 1.0000e-03 eta: 16:18:12 time: 0.7260 data_time: 0.1710 memory: 17350 grad_norm: 8.4840 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2208 loss: 1.2208 2022/07/24 10:15:12 - mmengine - INFO - Epoch(train) [77][2240/3757] lr: 1.0000e-03 eta: 16:17:58 time: 0.6162 data_time: 0.1057 memory: 17350 grad_norm: 8.5375 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2408 loss: 1.2408 2022/07/24 10:15:26 - mmengine - INFO - Epoch(train) [77][2260/3757] lr: 1.0000e-03 eta: 16:17:45 time: 0.7241 data_time: 0.2498 memory: 17350 grad_norm: 8.4044 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1806 loss: 1.1806 2022/07/24 10:15:39 - mmengine - INFO - Epoch(train) [77][2280/3757] lr: 1.0000e-03 eta: 16:17:31 time: 0.6286 data_time: 0.2202 memory: 17350 grad_norm: 8.2647 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0698 loss: 1.0698 2022/07/24 10:15:52 - mmengine - INFO - Epoch(train) [77][2300/3757] lr: 1.0000e-03 eta: 16:17:18 time: 0.6703 data_time: 0.2600 memory: 17350 grad_norm: 8.5143 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9686 loss: 0.9686 2022/07/24 10:16:06 - mmengine - INFO - Epoch(train) [77][2320/3757] lr: 1.0000e-03 eta: 16:17:05 time: 0.6873 data_time: 0.1831 memory: 17350 grad_norm: 8.5247 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9239 loss: 0.9239 2022/07/24 10:16:20 - mmengine - INFO - Epoch(train) [77][2340/3757] lr: 1.0000e-03 eta: 16:16:52 time: 0.6885 data_time: 0.2561 memory: 17350 grad_norm: 8.4446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0519 loss: 1.0519 2022/07/24 10:16:32 - mmengine - INFO - Epoch(train) [77][2360/3757] lr: 1.0000e-03 eta: 16:16:38 time: 0.6000 data_time: 0.1910 memory: 17350 grad_norm: 8.5267 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0392 loss: 1.0392 2022/07/24 10:16:46 - mmengine - INFO - Epoch(train) [77][2380/3757] lr: 1.0000e-03 eta: 16:16:25 time: 0.7245 data_time: 0.3621 memory: 17350 grad_norm: 8.3638 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0426 loss: 1.0426 2022/07/24 10:16:59 - mmengine - INFO - Epoch(train) [77][2400/3757] lr: 1.0000e-03 eta: 16:16:11 time: 0.6264 data_time: 0.2142 memory: 17350 grad_norm: 8.5930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3683 loss: 1.3683 2022/07/24 10:17:12 - mmengine - INFO - Epoch(train) [77][2420/3757] lr: 1.0000e-03 eta: 16:15:58 time: 0.6685 data_time: 0.2277 memory: 17350 grad_norm: 8.5960 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9401 loss: 0.9401 2022/07/24 10:17:26 - mmengine - INFO - Epoch(train) [77][2440/3757] lr: 1.0000e-03 eta: 16:15:45 time: 0.6670 data_time: 0.1854 memory: 17350 grad_norm: 8.4012 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1516 loss: 1.1516 2022/07/24 10:17:39 - mmengine - INFO - Epoch(train) [77][2460/3757] lr: 1.0000e-03 eta: 16:15:31 time: 0.6512 data_time: 0.1256 memory: 17350 grad_norm: 8.5999 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1187 loss: 1.1187 2022/07/24 10:17:44 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 10:17:52 - mmengine - INFO - Epoch(train) [77][2480/3757] lr: 1.0000e-03 eta: 16:15:18 time: 0.6639 data_time: 0.1226 memory: 17350 grad_norm: 8.7095 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0711 loss: 1.0711 2022/07/24 10:18:05 - mmengine - INFO - Epoch(train) [77][2500/3757] lr: 1.0000e-03 eta: 16:15:04 time: 0.6406 data_time: 0.1671 memory: 17350 grad_norm: 8.5740 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1118 loss: 1.1118 2022/07/24 10:18:19 - mmengine - INFO - Epoch(train) [77][2520/3757] lr: 1.0000e-03 eta: 16:14:51 time: 0.6857 data_time: 0.0679 memory: 17350 grad_norm: 8.4501 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1322 loss: 1.1322 2022/07/24 10:18:31 - mmengine - INFO - Epoch(train) [77][2540/3757] lr: 1.0000e-03 eta: 16:14:38 time: 0.6359 data_time: 0.0711 memory: 17350 grad_norm: 8.2069 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9186 loss: 0.9186 2022/07/24 10:18:46 - mmengine - INFO - Epoch(train) [77][2560/3757] lr: 1.0000e-03 eta: 16:14:24 time: 0.7148 data_time: 0.0491 memory: 17350 grad_norm: 8.3617 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9418 loss: 0.9418 2022/07/24 10:18:58 - mmengine - INFO - Epoch(train) [77][2580/3757] lr: 1.0000e-03 eta: 16:14:11 time: 0.6308 data_time: 0.1712 memory: 17350 grad_norm: 8.4659 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1490 loss: 1.1490 2022/07/24 10:19:11 - mmengine - INFO - Epoch(train) [77][2600/3757] lr: 1.0000e-03 eta: 16:13:57 time: 0.6165 data_time: 0.1753 memory: 17350 grad_norm: 8.3777 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9803 loss: 0.9803 2022/07/24 10:19:25 - mmengine - INFO - Epoch(train) [77][2620/3757] lr: 1.0000e-03 eta: 16:13:44 time: 0.7441 data_time: 0.3638 memory: 17350 grad_norm: 8.4841 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1430 loss: 1.1430 2022/07/24 10:19:37 - mmengine - INFO - Epoch(train) [77][2640/3757] lr: 1.0000e-03 eta: 16:13:31 time: 0.5995 data_time: 0.2376 memory: 17350 grad_norm: 8.1962 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1154 loss: 1.1154 2022/07/24 10:19:52 - mmengine - INFO - Epoch(train) [77][2660/3757] lr: 1.0000e-03 eta: 16:13:18 time: 0.7335 data_time: 0.3689 memory: 17350 grad_norm: 8.4077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9676 loss: 0.9676 2022/07/24 10:20:05 - mmengine - INFO - Epoch(train) [77][2680/3757] lr: 1.0000e-03 eta: 16:13:04 time: 0.6400 data_time: 0.2765 memory: 17350 grad_norm: 8.1579 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1950 loss: 1.1950 2022/07/24 10:20:20 - mmengine - INFO - Epoch(train) [77][2700/3757] lr: 1.0000e-03 eta: 16:12:51 time: 0.7550 data_time: 0.3985 memory: 17350 grad_norm: 8.4537 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1119 loss: 1.1119 2022/07/24 10:20:31 - mmengine - INFO - Epoch(train) [77][2720/3757] lr: 1.0000e-03 eta: 16:12:37 time: 0.5583 data_time: 0.1725 memory: 17350 grad_norm: 8.7404 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3056 loss: 1.3056 2022/07/24 10:20:46 - mmengine - INFO - Epoch(train) [77][2740/3757] lr: 1.0000e-03 eta: 16:12:24 time: 0.7245 data_time: 0.2887 memory: 17350 grad_norm: 8.2136 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2492 loss: 1.2492 2022/07/24 10:20:58 - mmengine - INFO - Epoch(train) [77][2760/3757] lr: 1.0000e-03 eta: 16:12:11 time: 0.6128 data_time: 0.2024 memory: 17350 grad_norm: 8.5077 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1070 loss: 1.1070 2022/07/24 10:21:12 - mmengine - INFO - Epoch(train) [77][2780/3757] lr: 1.0000e-03 eta: 16:11:58 time: 0.7034 data_time: 0.3553 memory: 17350 grad_norm: 8.4266 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5391 loss: 1.5391 2022/07/24 10:21:25 - mmengine - INFO - Epoch(train) [77][2800/3757] lr: 1.0000e-03 eta: 16:11:44 time: 0.6318 data_time: 0.2552 memory: 17350 grad_norm: 9.0168 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8827 loss: 0.8827 2022/07/24 10:21:38 - mmengine - INFO - Epoch(train) [77][2820/3757] lr: 1.0000e-03 eta: 16:11:31 time: 0.6584 data_time: 0.2477 memory: 17350 grad_norm: 8.7405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2097 loss: 1.2097 2022/07/24 10:21:51 - mmengine - INFO - Epoch(train) [77][2840/3757] lr: 1.0000e-03 eta: 16:11:17 time: 0.6538 data_time: 0.1164 memory: 17350 grad_norm: 8.2112 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0419 loss: 1.0419 2022/07/24 10:22:05 - mmengine - INFO - Epoch(train) [77][2860/3757] lr: 1.0000e-03 eta: 16:11:04 time: 0.7006 data_time: 0.2979 memory: 17350 grad_norm: 8.7486 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2225 loss: 1.2225 2022/07/24 10:22:17 - mmengine - INFO - Epoch(train) [77][2880/3757] lr: 1.0000e-03 eta: 16:10:50 time: 0.6150 data_time: 0.2420 memory: 17350 grad_norm: 8.2733 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2556 loss: 1.2556 2022/07/24 10:22:30 - mmengine - INFO - Epoch(train) [77][2900/3757] lr: 1.0000e-03 eta: 16:10:37 time: 0.6490 data_time: 0.2831 memory: 17350 grad_norm: 8.8348 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9482 loss: 0.9482 2022/07/24 10:22:43 - mmengine - INFO - Epoch(train) [77][2920/3757] lr: 1.0000e-03 eta: 16:10:23 time: 0.6446 data_time: 0.1582 memory: 17350 grad_norm: 8.4780 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8889 loss: 0.8889 2022/07/24 10:22:57 - mmengine - INFO - Epoch(train) [77][2940/3757] lr: 1.0000e-03 eta: 16:10:10 time: 0.7016 data_time: 0.3444 memory: 17350 grad_norm: 8.4162 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1892 loss: 1.1892 2022/07/24 10:23:10 - mmengine - INFO - Epoch(train) [77][2960/3757] lr: 1.0000e-03 eta: 16:09:57 time: 0.6245 data_time: 0.2270 memory: 17350 grad_norm: 8.5979 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2734 loss: 1.2734 2022/07/24 10:23:24 - mmengine - INFO - Epoch(train) [77][2980/3757] lr: 1.0000e-03 eta: 16:09:43 time: 0.6958 data_time: 0.2724 memory: 17350 grad_norm: 8.5354 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0469 loss: 1.0469 2022/07/24 10:23:36 - mmengine - INFO - Epoch(train) [77][3000/3757] lr: 1.0000e-03 eta: 16:09:30 time: 0.6162 data_time: 0.2099 memory: 17350 grad_norm: 8.5862 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2648 loss: 1.2648 2022/07/24 10:23:51 - mmengine - INFO - Epoch(train) [77][3020/3757] lr: 1.0000e-03 eta: 16:09:17 time: 0.7386 data_time: 0.3583 memory: 17350 grad_norm: 8.1156 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1205 loss: 1.1205 2022/07/24 10:24:02 - mmengine - INFO - Epoch(train) [77][3040/3757] lr: 1.0000e-03 eta: 16:09:03 time: 0.5654 data_time: 0.2308 memory: 17350 grad_norm: 8.2963 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0305 loss: 1.0305 2022/07/24 10:24:17 - mmengine - INFO - Epoch(train) [77][3060/3757] lr: 1.0000e-03 eta: 16:08:50 time: 0.7406 data_time: 0.4051 memory: 17350 grad_norm: 8.2825 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9263 loss: 0.9263 2022/07/24 10:24:29 - mmengine - INFO - Epoch(train) [77][3080/3757] lr: 1.0000e-03 eta: 16:08:36 time: 0.5939 data_time: 0.2495 memory: 17350 grad_norm: 8.5135 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4538 loss: 1.4538 2022/07/24 10:24:44 - mmengine - INFO - Epoch(train) [77][3100/3757] lr: 1.0000e-03 eta: 16:08:23 time: 0.7286 data_time: 0.3838 memory: 17350 grad_norm: 8.2080 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8773 loss: 0.8773 2022/07/24 10:24:56 - mmengine - INFO - Epoch(train) [77][3120/3757] lr: 1.0000e-03 eta: 16:08:10 time: 0.5994 data_time: 0.2639 memory: 17350 grad_norm: 8.4328 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2530 loss: 1.2530 2022/07/24 10:25:10 - mmengine - INFO - Epoch(train) [77][3140/3757] lr: 1.0000e-03 eta: 16:07:57 time: 0.7385 data_time: 0.3898 memory: 17350 grad_norm: 8.2533 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3479 loss: 1.3479 2022/07/24 10:25:23 - mmengine - INFO - Epoch(train) [77][3160/3757] lr: 1.0000e-03 eta: 16:07:43 time: 0.6165 data_time: 0.2823 memory: 17350 grad_norm: 8.5007 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2066 loss: 1.2066 2022/07/24 10:25:37 - mmengine - INFO - Epoch(train) [77][3180/3757] lr: 1.0000e-03 eta: 16:07:30 time: 0.7236 data_time: 0.3893 memory: 17350 grad_norm: 8.2127 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0348 loss: 1.0348 2022/07/24 10:25:49 - mmengine - INFO - Epoch(train) [77][3200/3757] lr: 1.0000e-03 eta: 16:07:16 time: 0.6001 data_time: 0.2546 memory: 17350 grad_norm: 8.9907 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4002 loss: 1.4002 2022/07/24 10:26:04 - mmengine - INFO - Epoch(train) [77][3220/3757] lr: 1.0000e-03 eta: 16:07:03 time: 0.7271 data_time: 0.3871 memory: 17350 grad_norm: 8.2403 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8292 loss: 0.8292 2022/07/24 10:26:16 - mmengine - INFO - Epoch(train) [77][3240/3757] lr: 1.0000e-03 eta: 16:06:49 time: 0.6018 data_time: 0.2676 memory: 17350 grad_norm: 8.3319 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0484 loss: 1.0484 2022/07/24 10:26:30 - mmengine - INFO - Epoch(train) [77][3260/3757] lr: 1.0000e-03 eta: 16:06:36 time: 0.7119 data_time: 0.3718 memory: 17350 grad_norm: 8.8534 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1842 loss: 1.1842 2022/07/24 10:26:42 - mmengine - INFO - Epoch(train) [77][3280/3757] lr: 1.0000e-03 eta: 16:06:23 time: 0.5867 data_time: 0.2466 memory: 17350 grad_norm: 8.6238 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1457 loss: 1.1457 2022/07/24 10:26:57 - mmengine - INFO - Epoch(train) [77][3300/3757] lr: 1.0000e-03 eta: 16:06:10 time: 0.7333 data_time: 0.4008 memory: 17350 grad_norm: 8.2857 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0283 loss: 1.0283 2022/07/24 10:27:08 - mmengine - INFO - Epoch(train) [77][3320/3757] lr: 1.0000e-03 eta: 16:05:56 time: 0.5788 data_time: 0.2458 memory: 17350 grad_norm: 8.4756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3255 loss: 1.3255 2022/07/24 10:27:23 - mmengine - INFO - Epoch(train) [77][3340/3757] lr: 1.0000e-03 eta: 16:05:43 time: 0.7281 data_time: 0.3798 memory: 17350 grad_norm: 8.4852 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1227 loss: 1.1227 2022/07/24 10:27:34 - mmengine - INFO - Epoch(train) [77][3360/3757] lr: 1.0000e-03 eta: 16:05:29 time: 0.5701 data_time: 0.2357 memory: 17350 grad_norm: 8.3559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9996 loss: 0.9996 2022/07/24 10:27:49 - mmengine - INFO - Epoch(train) [77][3380/3757] lr: 1.0000e-03 eta: 16:05:16 time: 0.7393 data_time: 0.3961 memory: 17350 grad_norm: 8.8761 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1527 loss: 1.1527 2022/07/24 10:28:02 - mmengine - INFO - Epoch(train) [77][3400/3757] lr: 1.0000e-03 eta: 16:05:02 time: 0.6310 data_time: 0.2896 memory: 17350 grad_norm: 8.0536 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0623 loss: 1.0623 2022/07/24 10:28:16 - mmengine - INFO - Epoch(train) [77][3420/3757] lr: 1.0000e-03 eta: 16:04:49 time: 0.7389 data_time: 0.4078 memory: 17350 grad_norm: 8.8535 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1717 loss: 1.1717 2022/07/24 10:28:28 - mmengine - INFO - Epoch(train) [77][3440/3757] lr: 1.0000e-03 eta: 16:04:36 time: 0.5756 data_time: 0.2385 memory: 17350 grad_norm: 8.6070 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1355 loss: 1.1355 2022/07/24 10:28:42 - mmengine - INFO - Epoch(train) [77][3460/3757] lr: 1.0000e-03 eta: 16:04:22 time: 0.7043 data_time: 0.3720 memory: 17350 grad_norm: 8.5953 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1841 loss: 1.1841 2022/07/24 10:28:47 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 10:28:54 - mmengine - INFO - Epoch(train) [77][3480/3757] lr: 1.0000e-03 eta: 16:04:08 time: 0.5754 data_time: 0.2283 memory: 17350 grad_norm: 8.3373 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0192 loss: 1.0192 2022/07/24 10:29:09 - mmengine - INFO - Epoch(train) [77][3500/3757] lr: 1.0000e-03 eta: 16:03:56 time: 0.7482 data_time: 0.3948 memory: 17350 grad_norm: 8.3489 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0740 loss: 1.0740 2022/07/24 10:29:21 - mmengine - INFO - Epoch(train) [77][3520/3757] lr: 1.0000e-03 eta: 16:03:42 time: 0.6166 data_time: 0.2393 memory: 17350 grad_norm: 8.5264 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2082 loss: 1.2082 2022/07/24 10:29:35 - mmengine - INFO - Epoch(train) [77][3540/3757] lr: 1.0000e-03 eta: 16:03:29 time: 0.7176 data_time: 0.3846 memory: 17350 grad_norm: 8.1905 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9146 loss: 0.9146 2022/07/24 10:29:47 - mmengine - INFO - Epoch(train) [77][3560/3757] lr: 1.0000e-03 eta: 16:03:15 time: 0.5993 data_time: 0.2605 memory: 17350 grad_norm: 8.1886 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9993 loss: 0.9993 2022/07/24 10:30:03 - mmengine - INFO - Epoch(train) [77][3580/3757] lr: 1.0000e-03 eta: 16:03:02 time: 0.7734 data_time: 0.4395 memory: 17350 grad_norm: 8.4636 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2568 loss: 1.2568 2022/07/24 10:30:14 - mmengine - INFO - Epoch(train) [77][3600/3757] lr: 1.0000e-03 eta: 16:02:49 time: 0.5873 data_time: 0.2519 memory: 17350 grad_norm: 8.6913 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2373 loss: 1.2373 2022/07/24 10:30:29 - mmengine - INFO - Epoch(train) [77][3620/3757] lr: 1.0000e-03 eta: 16:02:36 time: 0.7340 data_time: 0.4015 memory: 17350 grad_norm: 8.3591 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0628 loss: 1.0628 2022/07/24 10:30:41 - mmengine - INFO - Epoch(train) [77][3640/3757] lr: 1.0000e-03 eta: 16:02:22 time: 0.5975 data_time: 0.2606 memory: 17350 grad_norm: 8.3534 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0503 loss: 1.0503 2022/07/24 10:30:55 - mmengine - INFO - Epoch(train) [77][3660/3757] lr: 1.0000e-03 eta: 16:02:09 time: 0.7034 data_time: 0.3771 memory: 17350 grad_norm: 8.4065 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2524 loss: 1.2524 2022/07/24 10:31:07 - mmengine - INFO - Epoch(train) [77][3680/3757] lr: 1.0000e-03 eta: 16:01:55 time: 0.6032 data_time: 0.2699 memory: 17350 grad_norm: 8.1955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1485 loss: 1.1485 2022/07/24 10:31:22 - mmengine - INFO - Epoch(train) [77][3700/3757] lr: 1.0000e-03 eta: 16:01:42 time: 0.7288 data_time: 0.3941 memory: 17350 grad_norm: 8.2907 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0003 loss: 1.0003 2022/07/24 10:31:34 - mmengine - INFO - Epoch(train) [77][3720/3757] lr: 1.0000e-03 eta: 16:01:28 time: 0.5894 data_time: 0.2582 memory: 17350 grad_norm: 8.2550 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9605 loss: 0.9605 2022/07/24 10:31:48 - mmengine - INFO - Epoch(train) [77][3740/3757] lr: 1.0000e-03 eta: 16:01:15 time: 0.7303 data_time: 0.3952 memory: 17350 grad_norm: 8.3567 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1014 loss: 1.1014 2022/07/24 10:31:55 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 10:31:55 - mmengine - INFO - Epoch(train) [77][3757/3757] lr: 1.0000e-03 eta: 16:01:15 time: 0.4954 data_time: 0.1678 memory: 17350 grad_norm: 8.3721 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1567 loss: 1.1567 2022/07/24 10:32:12 - mmengine - INFO - Epoch(val) [77][20/310] eta: 0:04:05 time: 0.8463 data_time: 0.7310 memory: 3406 2022/07/24 10:32:23 - mmengine - INFO - Epoch(val) [77][40/310] eta: 0:02:24 time: 0.5363 data_time: 0.4235 memory: 3406 2022/07/24 10:32:38 - mmengine - INFO - Epoch(val) [77][60/310] eta: 0:03:12 time: 0.7686 data_time: 0.6531 memory: 3406 2022/07/24 10:32:49 - mmengine - INFO - Epoch(val) [77][80/310] eta: 0:02:02 time: 0.5310 data_time: 0.4155 memory: 3406 2022/07/24 10:33:04 - mmengine - INFO - Epoch(val) [77][100/310] eta: 0:02:40 time: 0.7649 data_time: 0.6509 memory: 3406 2022/07/24 10:33:15 - mmengine - INFO - Epoch(val) [77][120/310] eta: 0:01:45 time: 0.5550 data_time: 0.4421 memory: 3406 2022/07/24 10:33:31 - mmengine - INFO - Epoch(val) [77][140/310] eta: 0:02:12 time: 0.7783 data_time: 0.6560 memory: 3406 2022/07/24 10:33:43 - mmengine - INFO - Epoch(val) [77][160/310] eta: 0:01:29 time: 0.5984 data_time: 0.4854 memory: 3406 2022/07/24 10:33:59 - mmengine - INFO - Epoch(val) [77][180/310] eta: 0:01:44 time: 0.8017 data_time: 0.6901 memory: 3406 2022/07/24 10:34:09 - mmengine - INFO - Epoch(val) [77][200/310] eta: 0:00:57 time: 0.5252 data_time: 0.4087 memory: 3406 2022/07/24 10:34:25 - mmengine - INFO - Epoch(val) [77][220/310] eta: 0:01:08 time: 0.7653 data_time: 0.6504 memory: 3406 2022/07/24 10:34:35 - mmengine - INFO - Epoch(val) [77][240/310] eta: 0:00:38 time: 0.5466 data_time: 0.4292 memory: 3406 2022/07/24 10:34:50 - mmengine - INFO - Epoch(val) [77][260/310] eta: 0:00:37 time: 0.7454 data_time: 0.6338 memory: 3406 2022/07/24 10:35:02 - mmengine - INFO - Epoch(val) [77][280/310] eta: 0:00:16 time: 0.5573 data_time: 0.4447 memory: 3406 2022/07/24 10:35:17 - mmengine - INFO - Epoch(val) [77][300/310] eta: 0:00:07 time: 0.7541 data_time: 0.6394 memory: 3406 2022/07/24 10:35:21 - mmengine - INFO - Epoch(val) [77][310/310] acc/top1: 0.6820 acc/top5: 0.8749 acc/mean1: 0.6819 2022/07/24 10:35:39 - mmengine - INFO - Epoch(train) [78][20/3757] lr: 1.0000e-03 eta: 16:00:48 time: 0.8793 data_time: 0.5172 memory: 17350 grad_norm: 8.0175 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3199 loss: 1.3199 2022/07/24 10:35:51 - mmengine - INFO - Epoch(train) [78][40/3757] lr: 1.0000e-03 eta: 16:00:35 time: 0.5967 data_time: 0.2533 memory: 17350 grad_norm: 8.4026 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2377 loss: 1.2377 2022/07/24 10:36:06 - mmengine - INFO - Epoch(train) [78][60/3757] lr: 1.0000e-03 eta: 16:00:22 time: 0.7411 data_time: 0.3432 memory: 17350 grad_norm: 8.1610 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1954 loss: 1.1954 2022/07/24 10:36:18 - mmengine - INFO - Epoch(train) [78][80/3757] lr: 1.0000e-03 eta: 16:00:08 time: 0.6114 data_time: 0.2301 memory: 17350 grad_norm: 8.3010 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1397 loss: 1.1397 2022/07/24 10:36:33 - mmengine - INFO - Epoch(train) [78][100/3757] lr: 1.0000e-03 eta: 15:59:55 time: 0.7484 data_time: 0.2898 memory: 17350 grad_norm: 8.3379 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2308 loss: 1.2308 2022/07/24 10:36:45 - mmengine - INFO - Epoch(train) [78][120/3757] lr: 1.0000e-03 eta: 15:59:42 time: 0.6109 data_time: 0.2043 memory: 17350 grad_norm: 8.5152 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1997 loss: 1.1997 2022/07/24 10:37:00 - mmengine - INFO - Epoch(train) [78][140/3757] lr: 1.0000e-03 eta: 15:59:29 time: 0.7204 data_time: 0.2617 memory: 17350 grad_norm: 8.3179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9510 loss: 0.9510 2022/07/24 10:37:11 - mmengine - INFO - Epoch(train) [78][160/3757] lr: 1.0000e-03 eta: 15:59:15 time: 0.5742 data_time: 0.2056 memory: 17350 grad_norm: 8.6362 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2233 loss: 1.2233 2022/07/24 10:37:26 - mmengine - INFO - Epoch(train) [78][180/3757] lr: 1.0000e-03 eta: 15:59:02 time: 0.7255 data_time: 0.3351 memory: 17350 grad_norm: 8.3805 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9889 loss: 0.9889 2022/07/24 10:37:38 - mmengine - INFO - Epoch(train) [78][200/3757] lr: 1.0000e-03 eta: 15:58:48 time: 0.6120 data_time: 0.1716 memory: 17350 grad_norm: 8.4719 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1885 loss: 1.1885 2022/07/24 10:37:53 - mmengine - INFO - Epoch(train) [78][220/3757] lr: 1.0000e-03 eta: 15:58:35 time: 0.7548 data_time: 0.2684 memory: 17350 grad_norm: 8.0380 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9589 loss: 0.9589 2022/07/24 10:38:05 - mmengine - INFO - Epoch(train) [78][240/3757] lr: 1.0000e-03 eta: 15:58:21 time: 0.6092 data_time: 0.1107 memory: 17350 grad_norm: 8.1266 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0642 loss: 1.0642 2022/07/24 10:38:20 - mmengine - INFO - Epoch(train) [78][260/3757] lr: 1.0000e-03 eta: 15:58:09 time: 0.7543 data_time: 0.1783 memory: 17350 grad_norm: 8.5370 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0121 loss: 1.0121 2022/07/24 10:38:32 - mmengine - INFO - Epoch(train) [78][280/3757] lr: 1.0000e-03 eta: 15:57:55 time: 0.5971 data_time: 0.0885 memory: 17350 grad_norm: 8.5037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0553 loss: 1.0553 2022/07/24 10:38:47 - mmengine - INFO - Epoch(train) [78][300/3757] lr: 1.0000e-03 eta: 15:57:42 time: 0.7383 data_time: 0.0393 memory: 17350 grad_norm: 8.5830 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2641 loss: 1.2641 2022/07/24 10:38:59 - mmengine - INFO - Epoch(train) [78][320/3757] lr: 1.0000e-03 eta: 15:57:28 time: 0.6002 data_time: 0.0212 memory: 17350 grad_norm: 8.4942 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0840 loss: 1.0840 2022/07/24 10:39:13 - mmengine - INFO - Epoch(train) [78][340/3757] lr: 1.0000e-03 eta: 15:57:15 time: 0.7205 data_time: 0.0630 memory: 17350 grad_norm: 8.4359 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1136 loss: 1.1136 2022/07/24 10:39:26 - mmengine - INFO - Epoch(train) [78][360/3757] lr: 1.0000e-03 eta: 15:57:02 time: 0.6153 data_time: 0.0445 memory: 17350 grad_norm: 8.8052 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3137 loss: 1.3137 2022/07/24 10:39:40 - mmengine - INFO - Epoch(train) [78][380/3757] lr: 1.0000e-03 eta: 15:56:49 time: 0.7256 data_time: 0.0239 memory: 17350 grad_norm: 8.2457 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9491 loss: 0.9491 2022/07/24 10:39:53 - mmengine - INFO - Epoch(train) [78][400/3757] lr: 1.0000e-03 eta: 15:56:35 time: 0.6257 data_time: 0.0263 memory: 17350 grad_norm: 8.3669 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2952 loss: 1.2952 2022/07/24 10:40:08 - mmengine - INFO - Epoch(train) [78][420/3757] lr: 1.0000e-03 eta: 15:56:22 time: 0.7314 data_time: 0.0228 memory: 17350 grad_norm: 8.5308 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2129 loss: 1.2129 2022/07/24 10:40:19 - mmengine - INFO - Epoch(train) [78][440/3757] lr: 1.0000e-03 eta: 15:56:08 time: 0.5568 data_time: 0.0223 memory: 17350 grad_norm: 8.4459 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8619 loss: 0.8619 2022/07/24 10:40:33 - mmengine - INFO - Epoch(train) [78][460/3757] lr: 1.0000e-03 eta: 15:55:55 time: 0.7055 data_time: 0.0243 memory: 17350 grad_norm: 8.3133 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1077 loss: 1.1077 2022/07/24 10:40:45 - mmengine - INFO - Epoch(train) [78][480/3757] lr: 1.0000e-03 eta: 15:55:41 time: 0.6229 data_time: 0.0286 memory: 17350 grad_norm: 8.2943 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2330 loss: 1.2330 2022/07/24 10:41:00 - mmengine - INFO - Epoch(train) [78][500/3757] lr: 1.0000e-03 eta: 15:55:28 time: 0.7409 data_time: 0.0241 memory: 17350 grad_norm: 8.2899 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0764 loss: 1.0764 2022/07/24 10:41:12 - mmengine - INFO - Epoch(train) [78][520/3757] lr: 1.0000e-03 eta: 15:55:15 time: 0.5934 data_time: 0.0238 memory: 17350 grad_norm: 8.4515 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8411 loss: 0.8411 2022/07/24 10:41:26 - mmengine - INFO - Epoch(train) [78][540/3757] lr: 1.0000e-03 eta: 15:55:02 time: 0.7231 data_time: 0.0241 memory: 17350 grad_norm: 8.4313 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0245 loss: 1.0245 2022/07/24 10:41:39 - mmengine - INFO - Epoch(train) [78][560/3757] lr: 1.0000e-03 eta: 15:54:48 time: 0.6353 data_time: 0.0232 memory: 17350 grad_norm: 8.3335 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1260 loss: 1.1260 2022/07/24 10:41:53 - mmengine - INFO - Epoch(train) [78][580/3757] lr: 1.0000e-03 eta: 15:54:35 time: 0.7008 data_time: 0.0233 memory: 17350 grad_norm: 8.6288 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1176 loss: 1.1176 2022/07/24 10:42:05 - mmengine - INFO - Epoch(train) [78][600/3757] lr: 1.0000e-03 eta: 15:54:21 time: 0.6030 data_time: 0.0278 memory: 17350 grad_norm: 8.3466 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9861 loss: 0.9861 2022/07/24 10:42:20 - mmengine - INFO - Epoch(train) [78][620/3757] lr: 1.0000e-03 eta: 15:54:08 time: 0.7364 data_time: 0.0229 memory: 17350 grad_norm: 8.6354 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0126 loss: 1.0126 2022/07/24 10:42:33 - mmengine - INFO - Epoch(train) [78][640/3757] lr: 1.0000e-03 eta: 15:53:55 time: 0.6265 data_time: 0.0243 memory: 17350 grad_norm: 8.3906 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0142 loss: 1.0142 2022/07/24 10:42:47 - mmengine - INFO - Epoch(train) [78][660/3757] lr: 1.0000e-03 eta: 15:53:41 time: 0.7057 data_time: 0.0253 memory: 17350 grad_norm: 8.5772 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1067 loss: 1.1067 2022/07/24 10:42:58 - mmengine - INFO - Epoch(train) [78][680/3757] lr: 1.0000e-03 eta: 15:53:28 time: 0.5772 data_time: 0.0222 memory: 17350 grad_norm: 7.8980 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9884 loss: 0.9884 2022/07/24 10:43:13 - mmengine - INFO - Epoch(train) [78][700/3757] lr: 1.0000e-03 eta: 15:53:15 time: 0.7096 data_time: 0.0233 memory: 17350 grad_norm: 8.7211 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1234 loss: 1.1234 2022/07/24 10:43:19 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 10:43:25 - mmengine - INFO - Epoch(train) [78][720/3757] lr: 1.0000e-03 eta: 15:53:01 time: 0.6131 data_time: 0.0255 memory: 17350 grad_norm: 8.1682 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.9600 loss: 0.9600 2022/07/24 10:43:40 - mmengine - INFO - Epoch(train) [78][740/3757] lr: 1.0000e-03 eta: 15:52:48 time: 0.7598 data_time: 0.0231 memory: 17350 grad_norm: 8.9049 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3925 loss: 1.3925 2022/07/24 10:43:52 - mmengine - INFO - Epoch(train) [78][760/3757] lr: 1.0000e-03 eta: 15:52:34 time: 0.5848 data_time: 0.0260 memory: 17350 grad_norm: 8.4661 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0741 loss: 1.0741 2022/07/24 10:44:06 - mmengine - INFO - Epoch(train) [78][780/3757] lr: 1.0000e-03 eta: 15:52:21 time: 0.7213 data_time: 0.0233 memory: 17350 grad_norm: 8.7871 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1766 loss: 1.1766 2022/07/24 10:44:18 - mmengine - INFO - Epoch(train) [78][800/3757] lr: 1.0000e-03 eta: 15:52:07 time: 0.6059 data_time: 0.0216 memory: 17350 grad_norm: 8.6834 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9493 loss: 0.9493 2022/07/24 10:44:32 - mmengine - INFO - Epoch(train) [78][820/3757] lr: 1.0000e-03 eta: 15:51:54 time: 0.7007 data_time: 0.0261 memory: 17350 grad_norm: 8.3129 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0639 loss: 1.0639 2022/07/24 10:44:44 - mmengine - INFO - Epoch(train) [78][840/3757] lr: 1.0000e-03 eta: 15:51:41 time: 0.5967 data_time: 0.0236 memory: 17350 grad_norm: 8.4237 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0609 loss: 1.0609 2022/07/24 10:44:59 - mmengine - INFO - Epoch(train) [78][860/3757] lr: 1.0000e-03 eta: 15:51:28 time: 0.7242 data_time: 0.0244 memory: 17350 grad_norm: 8.5633 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2046 loss: 1.2046 2022/07/24 10:45:11 - mmengine - INFO - Epoch(train) [78][880/3757] lr: 1.0000e-03 eta: 15:51:14 time: 0.6163 data_time: 0.0256 memory: 17350 grad_norm: 8.5077 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2707 loss: 1.2707 2022/07/24 10:45:26 - mmengine - INFO - Epoch(train) [78][900/3757] lr: 1.0000e-03 eta: 15:51:01 time: 0.7210 data_time: 0.0264 memory: 17350 grad_norm: 8.4222 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0511 loss: 1.0511 2022/07/24 10:45:37 - mmengine - INFO - Epoch(train) [78][920/3757] lr: 1.0000e-03 eta: 15:50:47 time: 0.5831 data_time: 0.0226 memory: 17350 grad_norm: 8.4738 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9087 loss: 0.9087 2022/07/24 10:45:52 - mmengine - INFO - Epoch(train) [78][940/3757] lr: 1.0000e-03 eta: 15:50:34 time: 0.7252 data_time: 0.0256 memory: 17350 grad_norm: 8.3864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2370 loss: 1.2370 2022/07/24 10:46:04 - mmengine - INFO - Epoch(train) [78][960/3757] lr: 1.0000e-03 eta: 15:50:20 time: 0.6256 data_time: 0.0242 memory: 17350 grad_norm: 8.2535 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9968 loss: 0.9968 2022/07/24 10:46:19 - mmengine - INFO - Epoch(train) [78][980/3757] lr: 1.0000e-03 eta: 15:50:08 time: 0.7547 data_time: 0.0248 memory: 17350 grad_norm: 8.5370 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1979 loss: 1.1979 2022/07/24 10:46:31 - mmengine - INFO - Epoch(train) [78][1000/3757] lr: 1.0000e-03 eta: 15:49:54 time: 0.5909 data_time: 0.0222 memory: 17350 grad_norm: 8.8527 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0911 loss: 1.0911 2022/07/24 10:46:46 - mmengine - INFO - Epoch(train) [78][1020/3757] lr: 1.0000e-03 eta: 15:49:41 time: 0.7149 data_time: 0.0273 memory: 17350 grad_norm: 8.5041 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1313 loss: 1.1313 2022/07/24 10:46:57 - mmengine - INFO - Epoch(train) [78][1040/3757] lr: 1.0000e-03 eta: 15:49:27 time: 0.5697 data_time: 0.0260 memory: 17350 grad_norm: 8.3487 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2694 loss: 1.2694 2022/07/24 10:47:12 - mmengine - INFO - Epoch(train) [78][1060/3757] lr: 1.0000e-03 eta: 15:49:14 time: 0.7496 data_time: 0.0267 memory: 17350 grad_norm: 8.6571 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2975 loss: 1.2975 2022/07/24 10:47:24 - mmengine - INFO - Epoch(train) [78][1080/3757] lr: 1.0000e-03 eta: 15:49:00 time: 0.5807 data_time: 0.0318 memory: 17350 grad_norm: 8.4925 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8786 loss: 0.8786 2022/07/24 10:47:39 - mmengine - INFO - Epoch(train) [78][1100/3757] lr: 1.0000e-03 eta: 15:48:47 time: 0.7523 data_time: 0.0222 memory: 17350 grad_norm: 8.3873 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3708 loss: 1.3708 2022/07/24 10:47:50 - mmengine - INFO - Epoch(train) [78][1120/3757] lr: 1.0000e-03 eta: 15:48:33 time: 0.5900 data_time: 0.0231 memory: 17350 grad_norm: 8.5585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3875 loss: 1.3875 2022/07/24 10:48:05 - mmengine - INFO - Epoch(train) [78][1140/3757] lr: 1.0000e-03 eta: 15:48:21 time: 0.7443 data_time: 0.0243 memory: 17350 grad_norm: 8.6342 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2844 loss: 1.2844 2022/07/24 10:48:17 - mmengine - INFO - Epoch(train) [78][1160/3757] lr: 1.0000e-03 eta: 15:48:07 time: 0.5958 data_time: 0.0255 memory: 17350 grad_norm: 8.6038 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5927 loss: 1.5927 2022/07/24 10:48:32 - mmengine - INFO - Epoch(train) [78][1180/3757] lr: 1.0000e-03 eta: 15:47:54 time: 0.7334 data_time: 0.0167 memory: 17350 grad_norm: 8.5024 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3339 loss: 1.3339 2022/07/24 10:48:45 - mmengine - INFO - Epoch(train) [78][1200/3757] lr: 1.0000e-03 eta: 15:47:40 time: 0.6292 data_time: 0.0239 memory: 17350 grad_norm: 8.1944 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2141 loss: 1.2141 2022/07/24 10:48:58 - mmengine - INFO - Epoch(train) [78][1220/3757] lr: 1.0000e-03 eta: 15:47:27 time: 0.6630 data_time: 0.0242 memory: 17350 grad_norm: 8.1507 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1724 loss: 1.1724 2022/07/24 10:49:10 - mmengine - INFO - Epoch(train) [78][1240/3757] lr: 1.0000e-03 eta: 15:47:13 time: 0.6103 data_time: 0.0423 memory: 17350 grad_norm: 8.3855 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0875 loss: 1.0875 2022/07/24 10:49:25 - mmengine - INFO - Epoch(train) [78][1260/3757] lr: 1.0000e-03 eta: 15:47:00 time: 0.7457 data_time: 0.1362 memory: 17350 grad_norm: 8.6487 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2282 loss: 1.2282 2022/07/24 10:49:37 - mmengine - INFO - Epoch(train) [78][1280/3757] lr: 1.0000e-03 eta: 15:46:46 time: 0.5727 data_time: 0.0999 memory: 17350 grad_norm: 8.6372 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0537 loss: 1.0537 2022/07/24 10:49:52 - mmengine - INFO - Epoch(train) [78][1300/3757] lr: 1.0000e-03 eta: 15:46:34 time: 0.7477 data_time: 0.0868 memory: 17350 grad_norm: 8.4584 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9928 loss: 0.9928 2022/07/24 10:50:04 - mmengine - INFO - Epoch(train) [78][1320/3757] lr: 1.0000e-03 eta: 15:46:20 time: 0.6188 data_time: 0.0697 memory: 17350 grad_norm: 8.3424 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9778 loss: 0.9778 2022/07/24 10:50:18 - mmengine - INFO - Epoch(train) [78][1340/3757] lr: 1.0000e-03 eta: 15:46:07 time: 0.7251 data_time: 0.1295 memory: 17350 grad_norm: 8.4975 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0871 loss: 1.0871 2022/07/24 10:50:31 - mmengine - INFO - Epoch(train) [78][1360/3757] lr: 1.0000e-03 eta: 15:45:53 time: 0.6193 data_time: 0.0835 memory: 17350 grad_norm: 8.4101 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0818 loss: 1.0818 2022/07/24 10:50:46 - mmengine - INFO - Epoch(train) [78][1380/3757] lr: 1.0000e-03 eta: 15:45:40 time: 0.7519 data_time: 0.1009 memory: 17350 grad_norm: 8.7081 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2400 loss: 1.2400 2022/07/24 10:50:58 - mmengine - INFO - Epoch(train) [78][1400/3757] lr: 1.0000e-03 eta: 15:45:27 time: 0.5995 data_time: 0.0527 memory: 17350 grad_norm: 8.5846 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2326 loss: 1.2326 2022/07/24 10:51:12 - mmengine - INFO - Epoch(train) [78][1420/3757] lr: 1.0000e-03 eta: 15:45:14 time: 0.7106 data_time: 0.0640 memory: 17350 grad_norm: 8.3813 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1944 loss: 1.1944 2022/07/24 10:51:25 - mmengine - INFO - Epoch(train) [78][1440/3757] lr: 1.0000e-03 eta: 15:45:00 time: 0.6412 data_time: 0.0233 memory: 17350 grad_norm: 8.4162 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0005 loss: 1.0005 2022/07/24 10:51:39 - mmengine - INFO - Epoch(train) [78][1460/3757] lr: 1.0000e-03 eta: 15:44:47 time: 0.7011 data_time: 0.0862 memory: 17350 grad_norm: 8.4992 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0862 loss: 1.0862 2022/07/24 10:51:51 - mmengine - INFO - Epoch(train) [78][1480/3757] lr: 1.0000e-03 eta: 15:44:33 time: 0.6141 data_time: 0.1301 memory: 17350 grad_norm: 8.2943 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1645 loss: 1.1645 2022/07/24 10:52:06 - mmengine - INFO - Epoch(train) [78][1500/3757] lr: 1.0000e-03 eta: 15:44:20 time: 0.7461 data_time: 0.3772 memory: 17350 grad_norm: 8.5983 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8456 loss: 0.8456 2022/07/24 10:52:19 - mmengine - INFO - Epoch(train) [78][1520/3757] lr: 1.0000e-03 eta: 15:44:07 time: 0.6225 data_time: 0.2108 memory: 17350 grad_norm: 8.3147 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2373 loss: 1.2373 2022/07/24 10:52:33 - mmengine - INFO - Epoch(train) [78][1540/3757] lr: 1.0000e-03 eta: 15:43:54 time: 0.7255 data_time: 0.2352 memory: 17350 grad_norm: 8.6241 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9372 loss: 0.9372 2022/07/24 10:52:45 - mmengine - INFO - Epoch(train) [78][1560/3757] lr: 1.0000e-03 eta: 15:43:40 time: 0.6051 data_time: 0.1193 memory: 17350 grad_norm: 8.5401 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1023 loss: 1.1023 2022/07/24 10:52:59 - mmengine - INFO - Epoch(train) [78][1580/3757] lr: 1.0000e-03 eta: 15:43:27 time: 0.6921 data_time: 0.2988 memory: 17350 grad_norm: 8.3770 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9566 loss: 0.9566 2022/07/24 10:53:11 - mmengine - INFO - Epoch(train) [78][1600/3757] lr: 1.0000e-03 eta: 15:43:13 time: 0.5987 data_time: 0.2265 memory: 17350 grad_norm: 8.3321 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1298 loss: 1.1298 2022/07/24 10:53:26 - mmengine - INFO - Epoch(train) [78][1620/3757] lr: 1.0000e-03 eta: 15:43:00 time: 0.7599 data_time: 0.4231 memory: 17350 grad_norm: 8.9889 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2444 loss: 1.2444 2022/07/24 10:53:38 - mmengine - INFO - Epoch(train) [78][1640/3757] lr: 1.0000e-03 eta: 15:42:46 time: 0.5646 data_time: 0.2218 memory: 17350 grad_norm: 8.2517 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1502 loss: 1.1502 2022/07/24 10:53:52 - mmengine - INFO - Epoch(train) [78][1660/3757] lr: 1.0000e-03 eta: 15:42:33 time: 0.7038 data_time: 0.3699 memory: 17350 grad_norm: 8.3003 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9561 loss: 0.9561 2022/07/24 10:54:04 - mmengine - INFO - Epoch(train) [78][1680/3757] lr: 1.0000e-03 eta: 15:42:20 time: 0.6331 data_time: 0.2931 memory: 17350 grad_norm: 8.6598 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1248 loss: 1.1248 2022/07/24 10:54:19 - mmengine - INFO - Epoch(train) [78][1700/3757] lr: 1.0000e-03 eta: 15:42:07 time: 0.7119 data_time: 0.3670 memory: 17350 grad_norm: 8.0685 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0784 loss: 1.0784 2022/07/24 10:54:25 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 10:54:31 - mmengine - INFO - Epoch(train) [78][1720/3757] lr: 1.0000e-03 eta: 15:41:53 time: 0.6123 data_time: 0.2792 memory: 17350 grad_norm: 8.2577 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1568 loss: 1.1568 2022/07/24 10:54:45 - mmengine - INFO - Epoch(train) [78][1740/3757] lr: 1.0000e-03 eta: 15:41:40 time: 0.7160 data_time: 0.3786 memory: 17350 grad_norm: 8.2252 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0264 loss: 1.0264 2022/07/24 10:54:57 - mmengine - INFO - Epoch(train) [78][1760/3757] lr: 1.0000e-03 eta: 15:41:26 time: 0.5862 data_time: 0.2506 memory: 17350 grad_norm: 8.4790 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9425 loss: 0.9425 2022/07/24 10:55:13 - mmengine - INFO - Epoch(train) [78][1780/3757] lr: 1.0000e-03 eta: 15:41:13 time: 0.7698 data_time: 0.3805 memory: 17350 grad_norm: 8.2584 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0147 loss: 1.0147 2022/07/24 10:55:25 - mmengine - INFO - Epoch(train) [78][1800/3757] lr: 1.0000e-03 eta: 15:41:00 time: 0.6007 data_time: 0.2139 memory: 17350 grad_norm: 8.6117 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2262 loss: 1.2262 2022/07/24 10:55:39 - mmengine - INFO - Epoch(train) [78][1820/3757] lr: 1.0000e-03 eta: 15:40:46 time: 0.7071 data_time: 0.3631 memory: 17350 grad_norm: 8.5398 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2643 loss: 1.2643 2022/07/24 10:55:50 - mmengine - INFO - Epoch(train) [78][1840/3757] lr: 1.0000e-03 eta: 15:40:33 time: 0.5795 data_time: 0.2324 memory: 17350 grad_norm: 8.4655 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1952 loss: 1.1952 2022/07/24 10:56:05 - mmengine - INFO - Epoch(train) [78][1860/3757] lr: 1.0000e-03 eta: 15:40:20 time: 0.7214 data_time: 0.3607 memory: 17350 grad_norm: 8.5874 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9907 loss: 0.9907 2022/07/24 10:56:17 - mmengine - INFO - Epoch(train) [78][1880/3757] lr: 1.0000e-03 eta: 15:40:06 time: 0.5939 data_time: 0.2315 memory: 17350 grad_norm: 8.7657 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1398 loss: 1.1398 2022/07/24 10:56:32 - mmengine - INFO - Epoch(train) [78][1900/3757] lr: 1.0000e-03 eta: 15:39:53 time: 0.7626 data_time: 0.3183 memory: 17350 grad_norm: 8.9519 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1689 loss: 1.1689 2022/07/24 10:56:44 - mmengine - INFO - Epoch(train) [78][1920/3757] lr: 1.0000e-03 eta: 15:39:39 time: 0.6101 data_time: 0.0957 memory: 17350 grad_norm: 8.6293 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0855 loss: 1.0855 2022/07/24 10:56:58 - mmengine - INFO - Epoch(train) [78][1940/3757] lr: 1.0000e-03 eta: 15:39:26 time: 0.6894 data_time: 0.1590 memory: 17350 grad_norm: 8.4742 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1893 loss: 1.1893 2022/07/24 10:57:10 - mmengine - INFO - Epoch(train) [78][1960/3757] lr: 1.0000e-03 eta: 15:39:12 time: 0.6141 data_time: 0.1331 memory: 17350 grad_norm: 8.4723 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9048 loss: 0.9048 2022/07/24 10:57:25 - mmengine - INFO - Epoch(train) [78][1980/3757] lr: 1.0000e-03 eta: 15:38:59 time: 0.7149 data_time: 0.1932 memory: 17350 grad_norm: 8.4003 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2651 loss: 1.2651 2022/07/24 10:57:36 - mmengine - INFO - Epoch(train) [78][2000/3757] lr: 1.0000e-03 eta: 15:38:46 time: 0.5778 data_time: 0.1591 memory: 17350 grad_norm: 8.2567 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9122 loss: 0.9122 2022/07/24 10:57:51 - mmengine - INFO - Epoch(train) [78][2020/3757] lr: 1.0000e-03 eta: 15:38:33 time: 0.7257 data_time: 0.1600 memory: 17350 grad_norm: 8.7875 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2795 loss: 1.2795 2022/07/24 10:58:03 - mmengine - INFO - Epoch(train) [78][2040/3757] lr: 1.0000e-03 eta: 15:38:19 time: 0.6175 data_time: 0.1004 memory: 17350 grad_norm: 8.3813 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9957 loss: 0.9957 2022/07/24 10:58:18 - mmengine - INFO - Epoch(train) [78][2060/3757] lr: 1.0000e-03 eta: 15:38:06 time: 0.7289 data_time: 0.2397 memory: 17350 grad_norm: 8.6880 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2065 loss: 1.2065 2022/07/24 10:58:30 - mmengine - INFO - Epoch(train) [78][2080/3757] lr: 1.0000e-03 eta: 15:37:52 time: 0.6377 data_time: 0.1365 memory: 17350 grad_norm: 8.4581 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4467 loss: 1.4467 2022/07/24 10:58:45 - mmengine - INFO - Epoch(train) [78][2100/3757] lr: 1.0000e-03 eta: 15:37:39 time: 0.7101 data_time: 0.0588 memory: 17350 grad_norm: 8.5813 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2330 loss: 1.2330 2022/07/24 10:58:57 - mmengine - INFO - Epoch(train) [78][2120/3757] lr: 1.0000e-03 eta: 15:37:26 time: 0.6060 data_time: 0.0340 memory: 17350 grad_norm: 8.4856 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2665 loss: 1.2665 2022/07/24 10:59:11 - mmengine - INFO - Epoch(train) [78][2140/3757] lr: 1.0000e-03 eta: 15:37:12 time: 0.6950 data_time: 0.0246 memory: 17350 grad_norm: 8.4113 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9907 loss: 0.9907 2022/07/24 10:59:23 - mmengine - INFO - Epoch(train) [78][2160/3757] lr: 1.0000e-03 eta: 15:36:59 time: 0.6279 data_time: 0.0219 memory: 17350 grad_norm: 8.7352 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0325 loss: 1.0325 2022/07/24 10:59:38 - mmengine - INFO - Epoch(train) [78][2180/3757] lr: 1.0000e-03 eta: 15:36:46 time: 0.7201 data_time: 0.0223 memory: 17350 grad_norm: 8.5540 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9840 loss: 0.9840 2022/07/24 10:59:50 - mmengine - INFO - Epoch(train) [78][2200/3757] lr: 1.0000e-03 eta: 15:36:32 time: 0.6024 data_time: 0.0219 memory: 17350 grad_norm: 8.4344 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9255 loss: 0.9255 2022/07/24 11:00:04 - mmengine - INFO - Epoch(train) [78][2220/3757] lr: 1.0000e-03 eta: 15:36:19 time: 0.7021 data_time: 0.0231 memory: 17350 grad_norm: 8.4658 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9858 loss: 0.9858 2022/07/24 11:00:18 - mmengine - INFO - Epoch(train) [78][2240/3757] lr: 1.0000e-03 eta: 15:36:06 time: 0.6924 data_time: 0.0228 memory: 17350 grad_norm: 8.6506 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0722 loss: 1.0722 2022/07/24 11:00:30 - mmengine - INFO - Epoch(train) [78][2260/3757] lr: 1.0000e-03 eta: 15:35:52 time: 0.6327 data_time: 0.0223 memory: 17350 grad_norm: 8.6634 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1064 loss: 1.1064 2022/07/24 11:00:44 - mmengine - INFO - Epoch(train) [78][2280/3757] lr: 1.0000e-03 eta: 15:35:39 time: 0.6952 data_time: 0.0239 memory: 17350 grad_norm: 9.0140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0670 loss: 1.0670 2022/07/24 11:00:56 - mmengine - INFO - Epoch(train) [78][2300/3757] lr: 1.0000e-03 eta: 15:35:25 time: 0.6089 data_time: 0.0219 memory: 17350 grad_norm: 8.7465 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1780 loss: 1.1780 2022/07/24 11:01:11 - mmengine - INFO - Epoch(train) [78][2320/3757] lr: 1.0000e-03 eta: 15:35:12 time: 0.7287 data_time: 0.0225 memory: 17350 grad_norm: 8.4596 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9205 loss: 0.9205 2022/07/24 11:01:24 - mmengine - INFO - Epoch(train) [78][2340/3757] lr: 1.0000e-03 eta: 15:34:59 time: 0.6251 data_time: 0.0218 memory: 17350 grad_norm: 8.5615 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2909 loss: 1.2909 2022/07/24 11:01:38 - mmengine - INFO - Epoch(train) [78][2360/3757] lr: 1.0000e-03 eta: 15:34:46 time: 0.7091 data_time: 0.0241 memory: 17350 grad_norm: 8.4198 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2160 loss: 1.2160 2022/07/24 11:01:51 - mmengine - INFO - Epoch(train) [78][2380/3757] lr: 1.0000e-03 eta: 15:34:32 time: 0.6391 data_time: 0.0244 memory: 17350 grad_norm: 8.4500 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1218 loss: 1.1218 2022/07/24 11:02:04 - mmengine - INFO - Epoch(train) [78][2400/3757] lr: 1.0000e-03 eta: 15:34:19 time: 0.6817 data_time: 0.0206 memory: 17350 grad_norm: 8.3803 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0358 loss: 1.0358 2022/07/24 11:02:17 - mmengine - INFO - Epoch(train) [78][2420/3757] lr: 1.0000e-03 eta: 15:34:05 time: 0.6264 data_time: 0.0213 memory: 17350 grad_norm: 8.2253 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0913 loss: 1.0913 2022/07/24 11:02:31 - mmengine - INFO - Epoch(train) [78][2440/3757] lr: 1.0000e-03 eta: 15:33:52 time: 0.7330 data_time: 0.0210 memory: 17350 grad_norm: 8.7913 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0794 loss: 1.0794 2022/07/24 11:02:43 - mmengine - INFO - Epoch(train) [78][2460/3757] lr: 1.0000e-03 eta: 15:33:39 time: 0.6023 data_time: 0.0241 memory: 17350 grad_norm: 8.8467 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4138 loss: 1.4138 2022/07/24 11:02:58 - mmengine - INFO - Epoch(train) [78][2480/3757] lr: 1.0000e-03 eta: 15:33:25 time: 0.7018 data_time: 0.0232 memory: 17350 grad_norm: 8.4101 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1909 loss: 1.1909 2022/07/24 11:03:10 - mmengine - INFO - Epoch(train) [78][2500/3757] lr: 1.0000e-03 eta: 15:33:12 time: 0.6229 data_time: 0.0243 memory: 17350 grad_norm: 8.1371 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0319 loss: 1.0319 2022/07/24 11:03:24 - mmengine - INFO - Epoch(train) [78][2520/3757] lr: 1.0000e-03 eta: 15:32:59 time: 0.6934 data_time: 0.0260 memory: 17350 grad_norm: 8.5327 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3827 loss: 1.3827 2022/07/24 11:03:37 - mmengine - INFO - Epoch(train) [78][2540/3757] lr: 1.0000e-03 eta: 15:32:45 time: 0.6516 data_time: 0.0220 memory: 17350 grad_norm: 8.2114 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2336 loss: 1.2336 2022/07/24 11:03:51 - mmengine - INFO - Epoch(train) [78][2560/3757] lr: 1.0000e-03 eta: 15:32:32 time: 0.6828 data_time: 0.0224 memory: 17350 grad_norm: 8.3931 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2160 loss: 1.2160 2022/07/24 11:04:03 - mmengine - INFO - Epoch(train) [78][2580/3757] lr: 1.0000e-03 eta: 15:32:18 time: 0.6376 data_time: 0.0210 memory: 17350 grad_norm: 8.0077 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9820 loss: 0.9820 2022/07/24 11:04:17 - mmengine - INFO - Epoch(train) [78][2600/3757] lr: 1.0000e-03 eta: 15:32:05 time: 0.6702 data_time: 0.0229 memory: 17350 grad_norm: 8.7017 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0940 loss: 1.0940 2022/07/24 11:04:30 - mmengine - INFO - Epoch(train) [78][2620/3757] lr: 1.0000e-03 eta: 15:31:52 time: 0.6667 data_time: 0.0230 memory: 17350 grad_norm: 8.7352 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2225 loss: 1.2225 2022/07/24 11:04:44 - mmengine - INFO - Epoch(train) [78][2640/3757] lr: 1.0000e-03 eta: 15:31:38 time: 0.6710 data_time: 0.0229 memory: 17350 grad_norm: 8.3601 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2894 loss: 1.2894 2022/07/24 11:04:57 - mmengine - INFO - Epoch(train) [78][2660/3757] lr: 1.0000e-03 eta: 15:31:25 time: 0.6566 data_time: 0.0222 memory: 17350 grad_norm: 8.6812 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2389 loss: 1.2389 2022/07/24 11:05:11 - mmengine - INFO - Epoch(train) [78][2680/3757] lr: 1.0000e-03 eta: 15:31:12 time: 0.7146 data_time: 0.0218 memory: 17350 grad_norm: 8.8687 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1798 loss: 1.1798 2022/07/24 11:05:24 - mmengine - INFO - Epoch(train) [78][2700/3757] lr: 1.0000e-03 eta: 15:30:58 time: 0.6244 data_time: 0.0222 memory: 17350 grad_norm: 8.5196 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1090 loss: 1.1090 2022/07/24 11:05:32 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 11:05:37 - mmengine - INFO - Epoch(train) [78][2720/3757] lr: 1.0000e-03 eta: 15:30:45 time: 0.6939 data_time: 0.0222 memory: 17350 grad_norm: 8.2703 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0863 loss: 1.0863 2022/07/24 11:05:50 - mmengine - INFO - Epoch(train) [78][2740/3757] lr: 1.0000e-03 eta: 15:30:31 time: 0.6057 data_time: 0.0216 memory: 17350 grad_norm: 8.3865 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0877 loss: 1.0877 2022/07/24 11:06:04 - mmengine - INFO - Epoch(train) [78][2760/3757] lr: 1.0000e-03 eta: 15:30:19 time: 0.7313 data_time: 0.0159 memory: 17350 grad_norm: 9.0145 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1267 loss: 1.1267 2022/07/24 11:06:16 - mmengine - INFO - Epoch(train) [78][2780/3757] lr: 1.0000e-03 eta: 15:30:05 time: 0.6031 data_time: 0.0252 memory: 17350 grad_norm: 8.6835 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1627 loss: 1.1627 2022/07/24 11:06:30 - mmengine - INFO - Epoch(train) [78][2800/3757] lr: 1.0000e-03 eta: 15:29:52 time: 0.6982 data_time: 0.0211 memory: 17350 grad_norm: 8.7447 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1176 loss: 1.1176 2022/07/24 11:06:43 - mmengine - INFO - Epoch(train) [78][2820/3757] lr: 1.0000e-03 eta: 15:29:38 time: 0.6154 data_time: 0.0212 memory: 17350 grad_norm: 8.6939 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1342 loss: 1.1342 2022/07/24 11:06:57 - mmengine - INFO - Epoch(train) [78][2840/3757] lr: 1.0000e-03 eta: 15:29:25 time: 0.7008 data_time: 0.0218 memory: 17350 grad_norm: 8.5844 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0947 loss: 1.0947 2022/07/24 11:07:09 - mmengine - INFO - Epoch(train) [78][2860/3757] lr: 1.0000e-03 eta: 15:29:11 time: 0.6010 data_time: 0.0218 memory: 17350 grad_norm: 8.4588 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1290 loss: 1.1290 2022/07/24 11:07:23 - mmengine - INFO - Epoch(train) [78][2880/3757] lr: 1.0000e-03 eta: 15:28:58 time: 0.7365 data_time: 0.0211 memory: 17350 grad_norm: 8.3261 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0351 loss: 1.0351 2022/07/24 11:07:35 - mmengine - INFO - Epoch(train) [78][2900/3757] lr: 1.0000e-03 eta: 15:28:44 time: 0.5983 data_time: 0.0233 memory: 17350 grad_norm: 8.3158 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9790 loss: 0.9790 2022/07/24 11:07:50 - mmengine - INFO - Epoch(train) [78][2920/3757] lr: 1.0000e-03 eta: 15:28:32 time: 0.7484 data_time: 0.0217 memory: 17350 grad_norm: 8.1781 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9351 loss: 0.9351 2022/07/24 11:08:02 - mmengine - INFO - Epoch(train) [78][2940/3757] lr: 1.0000e-03 eta: 15:28:18 time: 0.5842 data_time: 0.0220 memory: 17350 grad_norm: 8.4022 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1628 loss: 1.1628 2022/07/24 11:08:16 - mmengine - INFO - Epoch(train) [78][2960/3757] lr: 1.0000e-03 eta: 15:28:05 time: 0.7038 data_time: 0.0222 memory: 17350 grad_norm: 8.3207 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3092 loss: 1.3092 2022/07/24 11:08:29 - mmengine - INFO - Epoch(train) [78][2980/3757] lr: 1.0000e-03 eta: 15:27:51 time: 0.6295 data_time: 0.0251 memory: 17350 grad_norm: 9.0228 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.2679 loss: 1.2679 2022/07/24 11:08:44 - mmengine - INFO - Epoch(train) [78][3000/3757] lr: 1.0000e-03 eta: 15:27:38 time: 0.7531 data_time: 0.0217 memory: 17350 grad_norm: 8.4376 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1119 loss: 1.1119 2022/07/24 11:08:55 - mmengine - INFO - Epoch(train) [78][3020/3757] lr: 1.0000e-03 eta: 15:27:24 time: 0.5602 data_time: 0.0224 memory: 17350 grad_norm: 8.8549 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1911 loss: 1.1911 2022/07/24 11:09:09 - mmengine - INFO - Epoch(train) [78][3040/3757] lr: 1.0000e-03 eta: 15:27:11 time: 0.7157 data_time: 0.0224 memory: 17350 grad_norm: 8.6131 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9984 loss: 0.9984 2022/07/24 11:09:21 - mmengine - INFO - Epoch(train) [78][3060/3757] lr: 1.0000e-03 eta: 15:26:57 time: 0.5778 data_time: 0.0219 memory: 17350 grad_norm: 8.3332 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1193 loss: 1.1193 2022/07/24 11:09:35 - mmengine - INFO - Epoch(train) [78][3080/3757] lr: 1.0000e-03 eta: 15:26:44 time: 0.7124 data_time: 0.0239 memory: 17350 grad_norm: 8.8630 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9863 loss: 0.9863 2022/07/24 11:09:49 - mmengine - INFO - Epoch(train) [78][3100/3757] lr: 1.0000e-03 eta: 15:26:31 time: 0.6682 data_time: 0.0244 memory: 17350 grad_norm: 8.1349 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1213 loss: 1.1213 2022/07/24 11:10:02 - mmengine - INFO - Epoch(train) [78][3120/3757] lr: 1.0000e-03 eta: 15:26:18 time: 0.6858 data_time: 0.0210 memory: 17350 grad_norm: 8.8944 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1159 loss: 1.1159 2022/07/24 11:10:15 - mmengine - INFO - Epoch(train) [78][3140/3757] lr: 1.0000e-03 eta: 15:26:04 time: 0.6351 data_time: 0.0346 memory: 17350 grad_norm: 8.7579 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0934 loss: 1.0934 2022/07/24 11:10:30 - mmengine - INFO - Epoch(train) [78][3160/3757] lr: 1.0000e-03 eta: 15:25:51 time: 0.7236 data_time: 0.0229 memory: 17350 grad_norm: 8.4844 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.0331 loss: 1.0331 2022/07/24 11:10:42 - mmengine - INFO - Epoch(train) [78][3180/3757] lr: 1.0000e-03 eta: 15:25:37 time: 0.6080 data_time: 0.0213 memory: 17350 grad_norm: 8.4449 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0831 loss: 1.0831 2022/07/24 11:10:56 - mmengine - INFO - Epoch(train) [78][3200/3757] lr: 1.0000e-03 eta: 15:25:24 time: 0.7312 data_time: 0.0221 memory: 17350 grad_norm: 8.9286 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1305 loss: 1.1305 2022/07/24 11:11:09 - mmengine - INFO - Epoch(train) [78][3220/3757] lr: 1.0000e-03 eta: 15:25:11 time: 0.6200 data_time: 0.0234 memory: 17350 grad_norm: 8.9198 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1549 loss: 1.1549 2022/07/24 11:11:23 - mmengine - INFO - Epoch(train) [78][3240/3757] lr: 1.0000e-03 eta: 15:24:58 time: 0.7054 data_time: 0.0207 memory: 17350 grad_norm: 8.6556 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1018 loss: 1.1018 2022/07/24 11:11:36 - mmengine - INFO - Epoch(train) [78][3260/3757] lr: 1.0000e-03 eta: 15:24:44 time: 0.6561 data_time: 0.0340 memory: 17350 grad_norm: 8.2684 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1425 loss: 1.1425 2022/07/24 11:11:50 - mmengine - INFO - Epoch(train) [78][3280/3757] lr: 1.0000e-03 eta: 15:24:31 time: 0.6737 data_time: 0.0258 memory: 17350 grad_norm: 8.0407 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1853 loss: 1.1853 2022/07/24 11:12:03 - mmengine - INFO - Epoch(train) [78][3300/3757] lr: 1.0000e-03 eta: 15:24:18 time: 0.6657 data_time: 0.0249 memory: 17350 grad_norm: 8.6848 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9287 loss: 0.9287 2022/07/24 11:12:16 - mmengine - INFO - Epoch(train) [78][3320/3757] lr: 1.0000e-03 eta: 15:24:04 time: 0.6646 data_time: 0.0251 memory: 17350 grad_norm: 8.9014 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0038 loss: 1.0038 2022/07/24 11:12:29 - mmengine - INFO - Epoch(train) [78][3340/3757] lr: 1.0000e-03 eta: 15:23:51 time: 0.6605 data_time: 0.0255 memory: 17350 grad_norm: 8.2728 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0494 loss: 1.0494 2022/07/24 11:12:43 - mmengine - INFO - Epoch(train) [78][3360/3757] lr: 1.0000e-03 eta: 15:23:38 time: 0.6814 data_time: 0.0225 memory: 17350 grad_norm: 8.8317 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0682 loss: 1.0682 2022/07/24 11:12:56 - mmengine - INFO - Epoch(train) [78][3380/3757] lr: 1.0000e-03 eta: 15:23:24 time: 0.6413 data_time: 0.0236 memory: 17350 grad_norm: 8.5723 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9520 loss: 0.9520 2022/07/24 11:13:09 - mmengine - INFO - Epoch(train) [78][3400/3757] lr: 1.0000e-03 eta: 15:23:11 time: 0.6676 data_time: 0.0236 memory: 17350 grad_norm: 8.8494 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0510 loss: 1.0510 2022/07/24 11:13:23 - mmengine - INFO - Epoch(train) [78][3420/3757] lr: 1.0000e-03 eta: 15:22:57 time: 0.6765 data_time: 0.0246 memory: 17350 grad_norm: 8.6603 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9030 loss: 0.9030 2022/07/24 11:13:37 - mmengine - INFO - Epoch(train) [78][3440/3757] lr: 1.0000e-03 eta: 15:22:44 time: 0.6910 data_time: 0.0240 memory: 17350 grad_norm: 9.0325 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3502 loss: 1.3502 2022/07/24 11:13:49 - mmengine - INFO - Epoch(train) [78][3460/3757] lr: 1.0000e-03 eta: 15:22:31 time: 0.6227 data_time: 0.0248 memory: 17350 grad_norm: 8.8877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1745 loss: 1.1745 2022/07/24 11:14:03 - mmengine - INFO - Epoch(train) [78][3480/3757] lr: 1.0000e-03 eta: 15:22:17 time: 0.6679 data_time: 0.0211 memory: 17350 grad_norm: 8.5714 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0373 loss: 1.0373 2022/07/24 11:14:16 - mmengine - INFO - Epoch(train) [78][3500/3757] lr: 1.0000e-03 eta: 15:22:04 time: 0.6612 data_time: 0.0264 memory: 17350 grad_norm: 8.4767 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9632 loss: 0.9632 2022/07/24 11:14:29 - mmengine - INFO - Epoch(train) [78][3520/3757] lr: 1.0000e-03 eta: 15:21:51 time: 0.6644 data_time: 0.0297 memory: 17350 grad_norm: 8.7575 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0895 loss: 1.0895 2022/07/24 11:14:43 - mmengine - INFO - Epoch(train) [78][3540/3757] lr: 1.0000e-03 eta: 15:21:37 time: 0.6990 data_time: 0.0213 memory: 17350 grad_norm: 8.6274 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0282 loss: 1.0282 2022/07/24 11:14:56 - mmengine - INFO - Epoch(train) [78][3560/3757] lr: 1.0000e-03 eta: 15:21:24 time: 0.6398 data_time: 0.0221 memory: 17350 grad_norm: 8.5395 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2223 loss: 1.2223 2022/07/24 11:15:10 - mmengine - INFO - Epoch(train) [78][3580/3757] lr: 1.0000e-03 eta: 15:21:11 time: 0.6902 data_time: 0.0352 memory: 17350 grad_norm: 8.5903 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4196 loss: 1.4196 2022/07/24 11:15:23 - mmengine - INFO - Epoch(train) [78][3600/3757] lr: 1.0000e-03 eta: 15:20:57 time: 0.6502 data_time: 0.0204 memory: 17350 grad_norm: 8.4437 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8937 loss: 0.8937 2022/07/24 11:15:37 - mmengine - INFO - Epoch(train) [78][3620/3757] lr: 1.0000e-03 eta: 15:20:44 time: 0.7255 data_time: 0.0218 memory: 17350 grad_norm: 8.6086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0104 loss: 1.0104 2022/07/24 11:15:49 - mmengine - INFO - Epoch(train) [78][3640/3757] lr: 1.0000e-03 eta: 15:20:30 time: 0.5937 data_time: 0.0176 memory: 17350 grad_norm: 8.5598 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1061 loss: 1.1061 2022/07/24 11:16:04 - mmengine - INFO - Epoch(train) [78][3660/3757] lr: 1.0000e-03 eta: 15:20:17 time: 0.7284 data_time: 0.0243 memory: 17350 grad_norm: 8.6872 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1643 loss: 1.1643 2022/07/24 11:16:16 - mmengine - INFO - Epoch(train) [78][3680/3757] lr: 1.0000e-03 eta: 15:20:04 time: 0.6122 data_time: 0.0216 memory: 17350 grad_norm: 8.4520 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2431 loss: 1.2431 2022/07/24 11:16:30 - mmengine - INFO - Epoch(train) [78][3700/3757] lr: 1.0000e-03 eta: 15:19:51 time: 0.7061 data_time: 0.0249 memory: 17350 grad_norm: 8.6214 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1973 loss: 1.1973 2022/07/24 11:16:37 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 11:16:42 - mmengine - INFO - Epoch(train) [78][3720/3757] lr: 1.0000e-03 eta: 15:19:37 time: 0.6073 data_time: 0.0234 memory: 17350 grad_norm: 8.5860 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8135 loss: 0.8135 2022/07/24 11:16:57 - mmengine - INFO - Epoch(train) [78][3740/3757] lr: 1.0000e-03 eta: 15:19:24 time: 0.7388 data_time: 0.0227 memory: 17350 grad_norm: 8.6613 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1923 loss: 1.1923 2022/07/24 11:17:05 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 11:17:05 - mmengine - INFO - Epoch(train) [78][3757/3757] lr: 1.0000e-03 eta: 15:19:24 time: 0.5670 data_time: 0.0233 memory: 17350 grad_norm: 8.5254 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.1653 loss: 1.1653 2022/07/24 11:17:21 - mmengine - INFO - Epoch(val) [78][20/310] eta: 0:03:57 time: 0.8190 data_time: 0.7045 memory: 3406 2022/07/24 11:17:32 - mmengine - INFO - Epoch(val) [78][40/310] eta: 0:02:25 time: 0.5375 data_time: 0.4222 memory: 3406 2022/07/24 11:17:46 - mmengine - INFO - Epoch(val) [78][60/310] eta: 0:03:05 time: 0.7416 data_time: 0.6278 memory: 3406 2022/07/24 11:17:57 - mmengine - INFO - Epoch(val) [78][80/310] eta: 0:02:06 time: 0.5486 data_time: 0.4344 memory: 3406 2022/07/24 11:18:13 - mmengine - INFO - Epoch(val) [78][100/310] eta: 0:02:37 time: 0.7514 data_time: 0.6384 memory: 3406 2022/07/24 11:18:24 - mmengine - INFO - Epoch(val) [78][120/310] eta: 0:01:50 time: 0.5802 data_time: 0.4668 memory: 3406 2022/07/24 11:18:39 - mmengine - INFO - Epoch(val) [78][140/310] eta: 0:02:05 time: 0.7373 data_time: 0.6246 memory: 3406 2022/07/24 11:18:51 - mmengine - INFO - Epoch(val) [78][160/310] eta: 0:01:28 time: 0.5880 data_time: 0.4728 memory: 3406 2022/07/24 11:19:06 - mmengine - INFO - Epoch(val) [78][180/310] eta: 0:01:37 time: 0.7503 data_time: 0.6351 memory: 3406 2022/07/24 11:19:17 - mmengine - INFO - Epoch(val) [78][200/310] eta: 0:01:03 time: 0.5752 data_time: 0.4634 memory: 3406 2022/07/24 11:19:32 - mmengine - INFO - Epoch(val) [78][220/310] eta: 0:01:06 time: 0.7343 data_time: 0.6167 memory: 3406 2022/07/24 11:19:43 - mmengine - INFO - Epoch(val) [78][240/310] eta: 0:00:39 time: 0.5616 data_time: 0.4488 memory: 3406 2022/07/24 11:19:58 - mmengine - INFO - Epoch(val) [78][260/310] eta: 0:00:36 time: 0.7327 data_time: 0.6189 memory: 3406 2022/07/24 11:20:10 - mmengine - INFO - Epoch(val) [78][280/310] eta: 0:00:18 time: 0.6054 data_time: 0.4908 memory: 3406 2022/07/24 11:20:24 - mmengine - INFO - Epoch(val) [78][300/310] eta: 0:00:07 time: 0.7028 data_time: 0.5910 memory: 3406 2022/07/24 11:20:29 - mmengine - INFO - Epoch(val) [78][310/310] acc/top1: 0.6784 acc/top5: 0.8754 acc/mean1: 0.6784 2022/07/24 11:20:47 - mmengine - INFO - Epoch(train) [79][20/3757] lr: 1.0000e-03 eta: 15:18:57 time: 0.8639 data_time: 0.4754 memory: 17350 grad_norm: 8.6543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0745 loss: 1.0745 2022/07/24 11:20:59 - mmengine - INFO - Epoch(train) [79][40/3757] lr: 1.0000e-03 eta: 15:18:44 time: 0.6167 data_time: 0.2108 memory: 17350 grad_norm: 8.7178 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2009 loss: 1.2009 2022/07/24 11:21:15 - mmengine - INFO - Epoch(train) [79][60/3757] lr: 1.0000e-03 eta: 15:18:31 time: 0.7589 data_time: 0.2330 memory: 17350 grad_norm: 8.3147 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1526 loss: 1.1526 2022/07/24 11:21:27 - mmengine - INFO - Epoch(train) [79][80/3757] lr: 1.0000e-03 eta: 15:18:17 time: 0.6398 data_time: 0.1457 memory: 17350 grad_norm: 8.7930 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0325 loss: 1.0325 2022/07/24 11:21:42 - mmengine - INFO - Epoch(train) [79][100/3757] lr: 1.0000e-03 eta: 15:18:04 time: 0.7505 data_time: 0.1842 memory: 17350 grad_norm: 8.5980 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0348 loss: 1.0348 2022/07/24 11:21:54 - mmengine - INFO - Epoch(train) [79][120/3757] lr: 1.0000e-03 eta: 15:17:51 time: 0.5657 data_time: 0.1064 memory: 17350 grad_norm: 8.5392 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0749 loss: 1.0749 2022/07/24 11:22:08 - mmengine - INFO - Epoch(train) [79][140/3757] lr: 1.0000e-03 eta: 15:17:37 time: 0.7136 data_time: 0.2244 memory: 17350 grad_norm: 8.1621 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0136 loss: 1.0136 2022/07/24 11:22:20 - mmengine - INFO - Epoch(train) [79][160/3757] lr: 1.0000e-03 eta: 15:17:24 time: 0.5856 data_time: 0.1090 memory: 17350 grad_norm: 8.5954 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1210 loss: 1.1210 2022/07/24 11:22:35 - mmengine - INFO - Epoch(train) [79][180/3757] lr: 1.0000e-03 eta: 15:17:11 time: 0.7778 data_time: 0.1337 memory: 17350 grad_norm: 8.5893 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3006 loss: 1.3006 2022/07/24 11:22:48 - mmengine - INFO - Epoch(train) [79][200/3757] lr: 1.0000e-03 eta: 15:16:57 time: 0.6232 data_time: 0.0907 memory: 17350 grad_norm: 8.2764 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2633 loss: 1.2633 2022/07/24 11:23:03 - mmengine - INFO - Epoch(train) [79][220/3757] lr: 1.0000e-03 eta: 15:16:44 time: 0.7331 data_time: 0.1360 memory: 17350 grad_norm: 8.5057 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0105 loss: 1.0105 2022/07/24 11:23:14 - mmengine - INFO - Epoch(train) [79][240/3757] lr: 1.0000e-03 eta: 15:16:31 time: 0.5908 data_time: 0.2007 memory: 17350 grad_norm: 8.5483 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9898 loss: 0.9898 2022/07/24 11:23:28 - mmengine - INFO - Epoch(train) [79][260/3757] lr: 1.0000e-03 eta: 15:16:17 time: 0.6900 data_time: 0.2106 memory: 17350 grad_norm: 8.4377 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2516 loss: 1.2516 2022/07/24 11:23:40 - mmengine - INFO - Epoch(train) [79][280/3757] lr: 1.0000e-03 eta: 15:16:03 time: 0.5717 data_time: 0.1345 memory: 17350 grad_norm: 8.0680 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0287 loss: 1.0287 2022/07/24 11:23:54 - mmengine - INFO - Epoch(train) [79][300/3757] lr: 1.0000e-03 eta: 15:15:50 time: 0.7276 data_time: 0.1897 memory: 17350 grad_norm: 8.4756 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9982 loss: 0.9982 2022/07/24 11:24:07 - mmengine - INFO - Epoch(train) [79][320/3757] lr: 1.0000e-03 eta: 15:15:37 time: 0.6163 data_time: 0.1517 memory: 17350 grad_norm: 8.4249 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1712 loss: 1.1712 2022/07/24 11:24:21 - mmengine - INFO - Epoch(train) [79][340/3757] lr: 1.0000e-03 eta: 15:15:24 time: 0.7092 data_time: 0.1278 memory: 17350 grad_norm: 8.5106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1846 loss: 1.1846 2022/07/24 11:24:33 - mmengine - INFO - Epoch(train) [79][360/3757] lr: 1.0000e-03 eta: 15:15:10 time: 0.5944 data_time: 0.1038 memory: 17350 grad_norm: 8.0237 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9271 loss: 0.9271 2022/07/24 11:24:47 - mmengine - INFO - Epoch(train) [79][380/3757] lr: 1.0000e-03 eta: 15:14:57 time: 0.7392 data_time: 0.1879 memory: 17350 grad_norm: 8.3909 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2244 loss: 1.2244 2022/07/24 11:24:59 - mmengine - INFO - Epoch(train) [79][400/3757] lr: 1.0000e-03 eta: 15:14:43 time: 0.5954 data_time: 0.1498 memory: 17350 grad_norm: 8.9597 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0387 loss: 1.0387 2022/07/24 11:25:15 - mmengine - INFO - Epoch(train) [79][420/3757] lr: 1.0000e-03 eta: 15:14:30 time: 0.7642 data_time: 0.3632 memory: 17350 grad_norm: 8.5468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2844 loss: 1.2844 2022/07/24 11:25:27 - mmengine - INFO - Epoch(train) [79][440/3757] lr: 1.0000e-03 eta: 15:14:17 time: 0.6220 data_time: 0.1657 memory: 17350 grad_norm: 8.3107 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0654 loss: 1.0654 2022/07/24 11:25:42 - mmengine - INFO - Epoch(train) [79][460/3757] lr: 1.0000e-03 eta: 15:14:04 time: 0.7479 data_time: 0.2763 memory: 17350 grad_norm: 8.8404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2807 loss: 1.2807 2022/07/24 11:25:54 - mmengine - INFO - Epoch(train) [79][480/3757] lr: 1.0000e-03 eta: 15:13:50 time: 0.5731 data_time: 0.1616 memory: 17350 grad_norm: 8.1422 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0097 loss: 1.0097 2022/07/24 11:26:08 - mmengine - INFO - Epoch(train) [79][500/3757] lr: 1.0000e-03 eta: 15:13:37 time: 0.7314 data_time: 0.1391 memory: 17350 grad_norm: 8.7455 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1135 loss: 1.1135 2022/07/24 11:26:20 - mmengine - INFO - Epoch(train) [79][520/3757] lr: 1.0000e-03 eta: 15:13:23 time: 0.5944 data_time: 0.1226 memory: 17350 grad_norm: 8.7840 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0821 loss: 1.0821 2022/07/24 11:26:35 - mmengine - INFO - Epoch(train) [79][540/3757] lr: 1.0000e-03 eta: 15:13:10 time: 0.7347 data_time: 0.0939 memory: 17350 grad_norm: 7.7977 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2790 loss: 1.2790 2022/07/24 11:26:47 - mmengine - INFO - Epoch(train) [79][560/3757] lr: 1.0000e-03 eta: 15:12:57 time: 0.5939 data_time: 0.0280 memory: 17350 grad_norm: 8.3741 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1391 loss: 1.1391 2022/07/24 11:27:01 - mmengine - INFO - Epoch(train) [79][580/3757] lr: 1.0000e-03 eta: 15:12:44 time: 0.7199 data_time: 0.1041 memory: 17350 grad_norm: 8.3959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9878 loss: 0.9878 2022/07/24 11:27:13 - mmengine - INFO - Epoch(train) [79][600/3757] lr: 1.0000e-03 eta: 15:12:30 time: 0.5891 data_time: 0.0961 memory: 17350 grad_norm: 8.8762 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0493 loss: 1.0493 2022/07/24 11:27:28 - mmengine - INFO - Epoch(train) [79][620/3757] lr: 1.0000e-03 eta: 15:12:17 time: 0.7462 data_time: 0.1362 memory: 17350 grad_norm: 8.3306 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0418 loss: 1.0418 2022/07/24 11:27:40 - mmengine - INFO - Epoch(train) [79][640/3757] lr: 1.0000e-03 eta: 15:12:03 time: 0.5920 data_time: 0.1571 memory: 17350 grad_norm: 8.5213 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1442 loss: 1.1442 2022/07/24 11:27:55 - mmengine - INFO - Epoch(train) [79][660/3757] lr: 1.0000e-03 eta: 15:11:50 time: 0.7679 data_time: 0.2118 memory: 17350 grad_norm: 8.4840 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1330 loss: 1.1330 2022/07/24 11:28:08 - mmengine - INFO - Epoch(train) [79][680/3757] lr: 1.0000e-03 eta: 15:11:37 time: 0.6335 data_time: 0.1635 memory: 17350 grad_norm: 8.2614 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9723 loss: 0.9723 2022/07/24 11:28:21 - mmengine - INFO - Epoch(train) [79][700/3757] lr: 1.0000e-03 eta: 15:11:24 time: 0.6819 data_time: 0.1828 memory: 17350 grad_norm: 8.2482 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1523 loss: 1.1523 2022/07/24 11:28:34 - mmengine - INFO - Epoch(train) [79][720/3757] lr: 1.0000e-03 eta: 15:11:10 time: 0.6022 data_time: 0.1606 memory: 17350 grad_norm: 8.6192 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1664 loss: 1.1664 2022/07/24 11:28:48 - mmengine - INFO - Epoch(train) [79][740/3757] lr: 1.0000e-03 eta: 15:10:57 time: 0.7257 data_time: 0.2517 memory: 17350 grad_norm: 8.5038 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1316 loss: 1.1316 2022/07/24 11:29:00 - mmengine - INFO - Epoch(train) [79][760/3757] lr: 1.0000e-03 eta: 15:10:43 time: 0.5888 data_time: 0.1425 memory: 17350 grad_norm: 8.2764 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0788 loss: 1.0788 2022/07/24 11:29:15 - mmengine - INFO - Epoch(train) [79][780/3757] lr: 1.0000e-03 eta: 15:10:30 time: 0.7629 data_time: 0.2155 memory: 17350 grad_norm: 8.9228 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0565 loss: 1.0565 2022/07/24 11:29:28 - mmengine - INFO - Epoch(train) [79][800/3757] lr: 1.0000e-03 eta: 15:10:17 time: 0.6202 data_time: 0.0935 memory: 17350 grad_norm: 8.6879 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0646 loss: 1.0646 2022/07/24 11:29:41 - mmengine - INFO - Epoch(train) [79][820/3757] lr: 1.0000e-03 eta: 15:10:03 time: 0.6808 data_time: 0.1218 memory: 17350 grad_norm: 8.6084 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1630 loss: 1.1630 2022/07/24 11:29:54 - mmengine - INFO - Epoch(train) [79][840/3757] lr: 1.0000e-03 eta: 15:09:50 time: 0.6232 data_time: 0.1949 memory: 17350 grad_norm: 8.9289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1242 loss: 1.1242 2022/07/24 11:30:09 - mmengine - INFO - Epoch(train) [79][860/3757] lr: 1.0000e-03 eta: 15:09:37 time: 0.7795 data_time: 0.2024 memory: 17350 grad_norm: 8.7179 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0610 loss: 1.0610 2022/07/24 11:30:21 - mmengine - INFO - Epoch(train) [79][880/3757] lr: 1.0000e-03 eta: 15:09:23 time: 0.5865 data_time: 0.0437 memory: 17350 grad_norm: 8.4558 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0670 loss: 1.0670 2022/07/24 11:30:36 - mmengine - INFO - Epoch(train) [79][900/3757] lr: 1.0000e-03 eta: 15:09:10 time: 0.7401 data_time: 0.0424 memory: 17350 grad_norm: 8.1621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1334 loss: 1.1334 2022/07/24 11:30:48 - mmengine - INFO - Epoch(train) [79][920/3757] lr: 1.0000e-03 eta: 15:08:57 time: 0.6236 data_time: 0.0217 memory: 17350 grad_norm: 8.4582 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1956 loss: 1.1956 2022/07/24 11:31:02 - mmengine - INFO - Epoch(train) [79][940/3757] lr: 1.0000e-03 eta: 15:08:43 time: 0.6752 data_time: 0.0242 memory: 17350 grad_norm: 8.2085 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1620 loss: 1.1620 2022/07/24 11:31:10 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 11:31:15 - mmengine - INFO - Epoch(train) [79][960/3757] lr: 1.0000e-03 eta: 15:08:30 time: 0.6480 data_time: 0.0215 memory: 17350 grad_norm: 8.2008 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0022 loss: 1.0022 2022/07/24 11:31:29 - mmengine - INFO - Epoch(train) [79][980/3757] lr: 1.0000e-03 eta: 15:08:17 time: 0.6935 data_time: 0.0224 memory: 17350 grad_norm: 8.8215 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1469 loss: 1.1469 2022/07/24 11:31:41 - mmengine - INFO - Epoch(train) [79][1000/3757] lr: 1.0000e-03 eta: 15:08:03 time: 0.5951 data_time: 0.0255 memory: 17350 grad_norm: 8.6381 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0114 loss: 1.0114 2022/07/24 11:31:55 - mmengine - INFO - Epoch(train) [79][1020/3757] lr: 1.0000e-03 eta: 15:07:50 time: 0.7020 data_time: 0.0223 memory: 17350 grad_norm: 8.4090 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0414 loss: 1.0414 2022/07/24 11:32:07 - mmengine - INFO - Epoch(train) [79][1040/3757] lr: 1.0000e-03 eta: 15:07:36 time: 0.6360 data_time: 0.0240 memory: 17350 grad_norm: 8.4170 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1581 loss: 1.1581 2022/07/24 11:32:21 - mmengine - INFO - Epoch(train) [79][1060/3757] lr: 1.0000e-03 eta: 15:07:23 time: 0.6909 data_time: 0.0202 memory: 17350 grad_norm: 8.4030 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9696 loss: 0.9696 2022/07/24 11:32:33 - mmengine - INFO - Epoch(train) [79][1080/3757] lr: 1.0000e-03 eta: 15:07:09 time: 0.6084 data_time: 0.0212 memory: 17350 grad_norm: 8.4832 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0779 loss: 1.0779 2022/07/24 11:32:49 - mmengine - INFO - Epoch(train) [79][1100/3757] lr: 1.0000e-03 eta: 15:06:57 time: 0.7608 data_time: 0.0248 memory: 17350 grad_norm: 9.0773 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3976 loss: 1.3976 2022/07/24 11:33:00 - mmengine - INFO - Epoch(train) [79][1120/3757] lr: 1.0000e-03 eta: 15:06:43 time: 0.5572 data_time: 0.0287 memory: 17350 grad_norm: 8.5499 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9646 loss: 0.9646 2022/07/24 11:33:15 - mmengine - INFO - Epoch(train) [79][1140/3757] lr: 1.0000e-03 eta: 15:06:30 time: 0.7594 data_time: 0.0293 memory: 17350 grad_norm: 8.5735 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2433 loss: 1.2433 2022/07/24 11:33:26 - mmengine - INFO - Epoch(train) [79][1160/3757] lr: 1.0000e-03 eta: 15:06:16 time: 0.5570 data_time: 0.0224 memory: 17350 grad_norm: 8.8698 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2281 loss: 1.2281 2022/07/24 11:33:41 - mmengine - INFO - Epoch(train) [79][1180/3757] lr: 1.0000e-03 eta: 15:06:03 time: 0.7282 data_time: 0.1501 memory: 17350 grad_norm: 8.4974 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1137 loss: 1.1137 2022/07/24 11:33:53 - mmengine - INFO - Epoch(train) [79][1200/3757] lr: 1.0000e-03 eta: 15:05:49 time: 0.6244 data_time: 0.0606 memory: 17350 grad_norm: 8.3334 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8730 loss: 0.8730 2022/07/24 11:34:07 - mmengine - INFO - Epoch(train) [79][1220/3757] lr: 1.0000e-03 eta: 15:05:36 time: 0.6842 data_time: 0.0266 memory: 17350 grad_norm: 8.4267 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9302 loss: 0.9302 2022/07/24 11:34:20 - mmengine - INFO - Epoch(train) [79][1240/3757] lr: 1.0000e-03 eta: 15:05:23 time: 0.6555 data_time: 0.0281 memory: 17350 grad_norm: 8.6281 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1284 loss: 1.1284 2022/07/24 11:34:35 - mmengine - INFO - Epoch(train) [79][1260/3757] lr: 1.0000e-03 eta: 15:05:10 time: 0.7225 data_time: 0.0240 memory: 17350 grad_norm: 8.6126 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0196 loss: 1.0196 2022/07/24 11:34:47 - mmengine - INFO - Epoch(train) [79][1280/3757] lr: 1.0000e-03 eta: 15:04:56 time: 0.6036 data_time: 0.0225 memory: 17350 grad_norm: 8.2379 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8299 loss: 0.8299 2022/07/24 11:35:00 - mmengine - INFO - Epoch(train) [79][1300/3757] lr: 1.0000e-03 eta: 15:04:43 time: 0.6677 data_time: 0.0247 memory: 17350 grad_norm: 8.7717 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1553 loss: 1.1553 2022/07/24 11:35:14 - mmengine - INFO - Epoch(train) [79][1320/3757] lr: 1.0000e-03 eta: 15:04:29 time: 0.6730 data_time: 0.0232 memory: 17350 grad_norm: 8.2826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0901 loss: 1.0901 2022/07/24 11:35:27 - mmengine - INFO - Epoch(train) [79][1340/3757] lr: 1.0000e-03 eta: 15:04:16 time: 0.6637 data_time: 0.0237 memory: 17350 grad_norm: 8.5658 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0492 loss: 1.0492 2022/07/24 11:35:40 - mmengine - INFO - Epoch(train) [79][1360/3757] lr: 1.0000e-03 eta: 15:04:02 time: 0.6558 data_time: 0.0220 memory: 17350 grad_norm: 8.1636 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0463 loss: 1.0463 2022/07/24 11:35:54 - mmengine - INFO - Epoch(train) [79][1380/3757] lr: 1.0000e-03 eta: 15:03:49 time: 0.7215 data_time: 0.0235 memory: 17350 grad_norm: 8.8353 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0001 loss: 1.0001 2022/07/24 11:36:07 - mmengine - INFO - Epoch(train) [79][1400/3757] lr: 1.0000e-03 eta: 15:03:36 time: 0.6174 data_time: 0.0209 memory: 17350 grad_norm: 8.4067 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1605 loss: 1.1605 2022/07/24 11:36:21 - mmengine - INFO - Epoch(train) [79][1420/3757] lr: 1.0000e-03 eta: 15:03:23 time: 0.6916 data_time: 0.0690 memory: 17350 grad_norm: 8.6568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9663 loss: 0.9663 2022/07/24 11:36:34 - mmengine - INFO - Epoch(train) [79][1440/3757] lr: 1.0000e-03 eta: 15:03:09 time: 0.6452 data_time: 0.0828 memory: 17350 grad_norm: 8.0707 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0568 loss: 1.0568 2022/07/24 11:36:47 - mmengine - INFO - Epoch(train) [79][1460/3757] lr: 1.0000e-03 eta: 15:02:56 time: 0.6807 data_time: 0.1186 memory: 17350 grad_norm: 8.2968 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1897 loss: 1.1897 2022/07/24 11:37:01 - mmengine - INFO - Epoch(train) [79][1480/3757] lr: 1.0000e-03 eta: 15:02:43 time: 0.6674 data_time: 0.0589 memory: 17350 grad_norm: 8.5126 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2256 loss: 1.2256 2022/07/24 11:37:14 - mmengine - INFO - Epoch(train) [79][1500/3757] lr: 1.0000e-03 eta: 15:02:29 time: 0.6667 data_time: 0.0883 memory: 17350 grad_norm: 8.3617 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7312 loss: 0.7312 2022/07/24 11:37:27 - mmengine - INFO - Epoch(train) [79][1520/3757] lr: 1.0000e-03 eta: 15:02:16 time: 0.6328 data_time: 0.1308 memory: 17350 grad_norm: 8.6114 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6411 loss: 1.6411 2022/07/24 11:37:41 - mmengine - INFO - Epoch(train) [79][1540/3757] lr: 1.0000e-03 eta: 15:02:03 time: 0.7162 data_time: 0.0800 memory: 17350 grad_norm: 8.4065 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9373 loss: 0.9373 2022/07/24 11:37:53 - mmengine - INFO - Epoch(train) [79][1560/3757] lr: 1.0000e-03 eta: 15:01:49 time: 0.6096 data_time: 0.0839 memory: 17350 grad_norm: 8.9228 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3403 loss: 1.3403 2022/07/24 11:38:08 - mmengine - INFO - Epoch(train) [79][1580/3757] lr: 1.0000e-03 eta: 15:01:36 time: 0.7268 data_time: 0.1252 memory: 17350 grad_norm: 8.7624 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0423 loss: 1.0423 2022/07/24 11:38:20 - mmengine - INFO - Epoch(train) [79][1600/3757] lr: 1.0000e-03 eta: 15:01:22 time: 0.5925 data_time: 0.1101 memory: 17350 grad_norm: 8.9240 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1368 loss: 1.1368 2022/07/24 11:38:34 - mmengine - INFO - Epoch(train) [79][1620/3757] lr: 1.0000e-03 eta: 15:01:09 time: 0.7291 data_time: 0.1444 memory: 17350 grad_norm: 8.8431 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8747 loss: 0.8747 2022/07/24 11:38:46 - mmengine - INFO - Epoch(train) [79][1640/3757] lr: 1.0000e-03 eta: 15:00:55 time: 0.6054 data_time: 0.0872 memory: 17350 grad_norm: 8.6813 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2733 loss: 1.2733 2022/07/24 11:39:01 - mmengine - INFO - Epoch(train) [79][1660/3757] lr: 1.0000e-03 eta: 15:00:42 time: 0.7123 data_time: 0.2341 memory: 17350 grad_norm: 8.7199 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2554 loss: 1.2554 2022/07/24 11:39:12 - mmengine - INFO - Epoch(train) [79][1680/3757] lr: 1.0000e-03 eta: 15:00:29 time: 0.5844 data_time: 0.1833 memory: 17350 grad_norm: 8.5821 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6516 loss: 0.6516 2022/07/24 11:39:27 - mmengine - INFO - Epoch(train) [79][1700/3757] lr: 1.0000e-03 eta: 15:00:16 time: 0.7430 data_time: 0.2502 memory: 17350 grad_norm: 8.6142 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8749 loss: 0.8749 2022/07/24 11:39:39 - mmengine - INFO - Epoch(train) [79][1720/3757] lr: 1.0000e-03 eta: 15:00:02 time: 0.5973 data_time: 0.1020 memory: 17350 grad_norm: 8.3450 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0358 loss: 1.0358 2022/07/24 11:39:53 - mmengine - INFO - Epoch(train) [79][1740/3757] lr: 1.0000e-03 eta: 14:59:49 time: 0.6878 data_time: 0.1531 memory: 17350 grad_norm: 8.7161 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9691 loss: 0.9691 2022/07/24 11:40:06 - mmengine - INFO - Epoch(train) [79][1760/3757] lr: 1.0000e-03 eta: 14:59:35 time: 0.6496 data_time: 0.1109 memory: 17350 grad_norm: 8.4634 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9010 loss: 0.9010 2022/07/24 11:40:20 - mmengine - INFO - Epoch(train) [79][1780/3757] lr: 1.0000e-03 eta: 14:59:22 time: 0.7281 data_time: 0.1112 memory: 17350 grad_norm: 8.8519 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2591 loss: 1.2591 2022/07/24 11:40:33 - mmengine - INFO - Epoch(train) [79][1800/3757] lr: 1.0000e-03 eta: 14:59:09 time: 0.6241 data_time: 0.0316 memory: 17350 grad_norm: 8.7791 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2638 loss: 1.2638 2022/07/24 11:40:48 - mmengine - INFO - Epoch(train) [79][1820/3757] lr: 1.0000e-03 eta: 14:58:56 time: 0.7346 data_time: 0.0230 memory: 17350 grad_norm: 8.4304 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9906 loss: 0.9906 2022/07/24 11:40:59 - mmengine - INFO - Epoch(train) [79][1840/3757] lr: 1.0000e-03 eta: 14:58:42 time: 0.5857 data_time: 0.0218 memory: 17350 grad_norm: 8.7529 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3047 loss: 1.3047 2022/07/24 11:41:14 - mmengine - INFO - Epoch(train) [79][1860/3757] lr: 1.0000e-03 eta: 14:58:29 time: 0.7367 data_time: 0.0242 memory: 17350 grad_norm: 8.5161 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1839 loss: 1.1839 2022/07/24 11:41:27 - mmengine - INFO - Epoch(train) [79][1880/3757] lr: 1.0000e-03 eta: 14:58:15 time: 0.6352 data_time: 0.0225 memory: 17350 grad_norm: 8.8225 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1351 loss: 1.1351 2022/07/24 11:41:41 - mmengine - INFO - Epoch(train) [79][1900/3757] lr: 1.0000e-03 eta: 14:58:02 time: 0.7067 data_time: 0.0221 memory: 17350 grad_norm: 8.6910 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2358 loss: 1.2358 2022/07/24 11:41:54 - mmengine - INFO - Epoch(train) [79][1920/3757] lr: 1.0000e-03 eta: 14:57:49 time: 0.6267 data_time: 0.0220 memory: 17350 grad_norm: 8.7271 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2256 loss: 1.2256 2022/07/24 11:42:08 - mmengine - INFO - Epoch(train) [79][1940/3757] lr: 1.0000e-03 eta: 14:57:36 time: 0.7390 data_time: 0.0226 memory: 17350 grad_norm: 8.2930 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2238 loss: 1.2238 2022/07/24 11:42:15 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 11:42:19 - mmengine - INFO - Epoch(train) [79][1960/3757] lr: 1.0000e-03 eta: 14:57:22 time: 0.5552 data_time: 0.0225 memory: 17350 grad_norm: 8.3960 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1903 loss: 1.1903 2022/07/24 11:42:34 - mmengine - INFO - Epoch(train) [79][1980/3757] lr: 1.0000e-03 eta: 14:57:09 time: 0.7366 data_time: 0.0211 memory: 17350 grad_norm: 8.3213 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9686 loss: 0.9686 2022/07/24 11:42:46 - mmengine - INFO - Epoch(train) [79][2000/3757] lr: 1.0000e-03 eta: 14:56:55 time: 0.6000 data_time: 0.0229 memory: 17350 grad_norm: 9.1039 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0786 loss: 1.0786 2022/07/24 11:43:01 - mmengine - INFO - Epoch(train) [79][2020/3757] lr: 1.0000e-03 eta: 14:56:42 time: 0.7125 data_time: 0.0245 memory: 17350 grad_norm: 8.8898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1387 loss: 1.1387 2022/07/24 11:43:12 - mmengine - INFO - Epoch(train) [79][2040/3757] lr: 1.0000e-03 eta: 14:56:28 time: 0.5939 data_time: 0.0239 memory: 17350 grad_norm: 8.7526 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9024 loss: 0.9024 2022/07/24 11:43:27 - mmengine - INFO - Epoch(train) [79][2060/3757] lr: 1.0000e-03 eta: 14:56:15 time: 0.7113 data_time: 0.0228 memory: 17350 grad_norm: 8.7054 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1833 loss: 1.1833 2022/07/24 11:43:39 - mmengine - INFO - Epoch(train) [79][2080/3757] lr: 1.0000e-03 eta: 14:56:01 time: 0.5930 data_time: 0.0224 memory: 17350 grad_norm: 8.5638 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9653 loss: 0.9653 2022/07/24 11:43:53 - mmengine - INFO - Epoch(train) [79][2100/3757] lr: 1.0000e-03 eta: 14:55:48 time: 0.6973 data_time: 0.0213 memory: 17350 grad_norm: 8.5927 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0112 loss: 1.0112 2022/07/24 11:44:05 - mmengine - INFO - Epoch(train) [79][2120/3757] lr: 1.0000e-03 eta: 14:55:35 time: 0.6055 data_time: 0.0236 memory: 17350 grad_norm: 8.4901 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1145 loss: 1.1145 2022/07/24 11:44:19 - mmengine - INFO - Epoch(train) [79][2140/3757] lr: 1.0000e-03 eta: 14:55:22 time: 0.7379 data_time: 0.0234 memory: 17350 grad_norm: 8.6887 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0455 loss: 1.0455 2022/07/24 11:44:32 - mmengine - INFO - Epoch(train) [79][2160/3757] lr: 1.0000e-03 eta: 14:55:08 time: 0.6090 data_time: 0.0232 memory: 17350 grad_norm: 8.5847 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0307 loss: 1.0307 2022/07/24 11:44:45 - mmengine - INFO - Epoch(train) [79][2180/3757] lr: 1.0000e-03 eta: 14:54:55 time: 0.6742 data_time: 0.0214 memory: 17350 grad_norm: 8.9434 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0391 loss: 1.0391 2022/07/24 11:44:57 - mmengine - INFO - Epoch(train) [79][2200/3757] lr: 1.0000e-03 eta: 14:54:41 time: 0.6105 data_time: 0.0725 memory: 17350 grad_norm: 8.6363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8719 loss: 0.8719 2022/07/24 11:45:12 - mmengine - INFO - Epoch(train) [79][2220/3757] lr: 1.0000e-03 eta: 14:54:28 time: 0.7153 data_time: 0.0568 memory: 17350 grad_norm: 8.8946 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0268 loss: 1.0268 2022/07/24 11:45:26 - mmengine - INFO - Epoch(train) [79][2240/3757] lr: 1.0000e-03 eta: 14:54:15 time: 0.7045 data_time: 0.3363 memory: 17350 grad_norm: 9.1890 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3191 loss: 1.3191 2022/07/24 11:45:38 - mmengine - INFO - Epoch(train) [79][2260/3757] lr: 1.0000e-03 eta: 14:54:01 time: 0.5965 data_time: 0.2502 memory: 17350 grad_norm: 8.7806 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0791 loss: 1.0791 2022/07/24 11:45:52 - mmengine - INFO - Epoch(train) [79][2280/3757] lr: 1.0000e-03 eta: 14:53:48 time: 0.7334 data_time: 0.3904 memory: 17350 grad_norm: 8.7900 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1958 loss: 1.1958 2022/07/24 11:46:04 - mmengine - INFO - Epoch(train) [79][2300/3757] lr: 1.0000e-03 eta: 14:53:34 time: 0.5969 data_time: 0.2606 memory: 17350 grad_norm: 8.9182 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1058 loss: 1.1058 2022/07/24 11:46:19 - mmengine - INFO - Epoch(train) [79][2320/3757] lr: 1.0000e-03 eta: 14:53:21 time: 0.7135 data_time: 0.3593 memory: 17350 grad_norm: 8.6581 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0534 loss: 1.0534 2022/07/24 11:46:31 - mmengine - INFO - Epoch(train) [79][2340/3757] lr: 1.0000e-03 eta: 14:53:07 time: 0.5971 data_time: 0.2535 memory: 17350 grad_norm: 8.8691 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3641 loss: 1.3641 2022/07/24 11:46:45 - mmengine - INFO - Epoch(train) [79][2360/3757] lr: 1.0000e-03 eta: 14:52:54 time: 0.7030 data_time: 0.3235 memory: 17350 grad_norm: 8.9861 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1608 loss: 1.1608 2022/07/24 11:46:58 - mmengine - INFO - Epoch(train) [79][2380/3757] lr: 1.0000e-03 eta: 14:52:41 time: 0.6442 data_time: 0.2467 memory: 17350 grad_norm: 8.6367 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0813 loss: 1.0813 2022/07/24 11:47:12 - mmengine - INFO - Epoch(train) [79][2400/3757] lr: 1.0000e-03 eta: 14:52:28 time: 0.7007 data_time: 0.3615 memory: 17350 grad_norm: 8.3787 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8145 loss: 0.8145 2022/07/24 11:47:24 - mmengine - INFO - Epoch(train) [79][2420/3757] lr: 1.0000e-03 eta: 14:52:14 time: 0.6401 data_time: 0.2875 memory: 17350 grad_norm: 8.4314 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1342 loss: 1.1342 2022/07/24 11:47:38 - mmengine - INFO - Epoch(train) [79][2440/3757] lr: 1.0000e-03 eta: 14:52:01 time: 0.7017 data_time: 0.3616 memory: 17350 grad_norm: 8.7912 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0740 loss: 1.0740 2022/07/24 11:47:51 - mmengine - INFO - Epoch(train) [79][2460/3757] lr: 1.0000e-03 eta: 14:51:47 time: 0.6112 data_time: 0.2437 memory: 17350 grad_norm: 8.6993 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1524 loss: 1.1524 2022/07/24 11:48:05 - mmengine - INFO - Epoch(train) [79][2480/3757] lr: 1.0000e-03 eta: 14:51:34 time: 0.6900 data_time: 0.2753 memory: 17350 grad_norm: 8.7617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0556 loss: 1.0556 2022/07/24 11:48:17 - mmengine - INFO - Epoch(train) [79][2500/3757] lr: 1.0000e-03 eta: 14:51:21 time: 0.6449 data_time: 0.2478 memory: 17350 grad_norm: 8.8533 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0635 loss: 1.0635 2022/07/24 11:48:31 - mmengine - INFO - Epoch(train) [79][2520/3757] lr: 1.0000e-03 eta: 14:51:07 time: 0.6704 data_time: 0.3044 memory: 17350 grad_norm: 8.4191 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9423 loss: 0.9423 2022/07/24 11:48:44 - mmengine - INFO - Epoch(train) [79][2540/3757] lr: 1.0000e-03 eta: 14:50:54 time: 0.6589 data_time: 0.1538 memory: 17350 grad_norm: 8.4874 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4101 loss: 1.4101 2022/07/24 11:48:58 - mmengine - INFO - Epoch(train) [79][2560/3757] lr: 1.0000e-03 eta: 14:50:41 time: 0.6749 data_time: 0.2679 memory: 17350 grad_norm: 8.4766 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9275 loss: 0.9275 2022/07/24 11:49:11 - mmengine - INFO - Epoch(train) [79][2580/3757] lr: 1.0000e-03 eta: 14:50:27 time: 0.6632 data_time: 0.1557 memory: 17350 grad_norm: 8.6474 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2930 loss: 1.2930 2022/07/24 11:49:24 - mmengine - INFO - Epoch(train) [79][2600/3757] lr: 1.0000e-03 eta: 14:50:14 time: 0.6793 data_time: 0.2426 memory: 17350 grad_norm: 8.6718 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2593 loss: 1.2593 2022/07/24 11:49:38 - mmengine - INFO - Epoch(train) [79][2620/3757] lr: 1.0000e-03 eta: 14:50:01 time: 0.6739 data_time: 0.0335 memory: 17350 grad_norm: 8.6691 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9157 loss: 0.9157 2022/07/24 11:49:49 - mmengine - INFO - Epoch(train) [79][2640/3757] lr: 1.0000e-03 eta: 14:49:47 time: 0.5748 data_time: 0.0302 memory: 17350 grad_norm: 8.9506 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1380 loss: 1.1380 2022/07/24 11:50:03 - mmengine - INFO - Epoch(train) [79][2660/3757] lr: 1.0000e-03 eta: 14:49:34 time: 0.6644 data_time: 0.0968 memory: 17350 grad_norm: 8.4163 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0528 loss: 1.0528 2022/07/24 11:50:17 - mmengine - INFO - Epoch(train) [79][2680/3757] lr: 1.0000e-03 eta: 14:49:20 time: 0.7198 data_time: 0.1413 memory: 17350 grad_norm: 8.6908 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2105 loss: 1.2105 2022/07/24 11:50:30 - mmengine - INFO - Epoch(train) [79][2700/3757] lr: 1.0000e-03 eta: 14:49:07 time: 0.6505 data_time: 0.0577 memory: 17350 grad_norm: 8.4913 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8928 loss: 0.8928 2022/07/24 11:50:44 - mmengine - INFO - Epoch(train) [79][2720/3757] lr: 1.0000e-03 eta: 14:48:54 time: 0.6771 data_time: 0.0994 memory: 17350 grad_norm: 8.5640 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1917 loss: 1.1917 2022/07/24 11:50:56 - mmengine - INFO - Epoch(train) [79][2740/3757] lr: 1.0000e-03 eta: 14:48:40 time: 0.6243 data_time: 0.0716 memory: 17350 grad_norm: 8.6213 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0439 loss: 1.0439 2022/07/24 11:51:10 - mmengine - INFO - Epoch(train) [79][2760/3757] lr: 1.0000e-03 eta: 14:48:27 time: 0.7028 data_time: 0.0913 memory: 17350 grad_norm: 9.0741 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0542 loss: 1.0542 2022/07/24 11:51:23 - mmengine - INFO - Epoch(train) [79][2780/3757] lr: 1.0000e-03 eta: 14:48:13 time: 0.6363 data_time: 0.0229 memory: 17350 grad_norm: 8.8140 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2256 loss: 1.2256 2022/07/24 11:51:36 - mmengine - INFO - Epoch(train) [79][2800/3757] lr: 1.0000e-03 eta: 14:48:00 time: 0.6629 data_time: 0.1228 memory: 17350 grad_norm: 8.5971 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2408 loss: 1.2408 2022/07/24 11:51:50 - mmengine - INFO - Epoch(train) [79][2820/3757] lr: 1.0000e-03 eta: 14:47:47 time: 0.6913 data_time: 0.1506 memory: 17350 grad_norm: 8.8099 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1170 loss: 1.1170 2022/07/24 11:52:03 - mmengine - INFO - Epoch(train) [79][2840/3757] lr: 1.0000e-03 eta: 14:47:33 time: 0.6443 data_time: 0.1062 memory: 17350 grad_norm: 8.6723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2039 loss: 1.2039 2022/07/24 11:52:18 - mmengine - INFO - Epoch(train) [79][2860/3757] lr: 1.0000e-03 eta: 14:47:21 time: 0.7502 data_time: 0.0324 memory: 17350 grad_norm: 8.5173 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0630 loss: 1.0630 2022/07/24 11:52:30 - mmengine - INFO - Epoch(train) [79][2880/3757] lr: 1.0000e-03 eta: 14:47:07 time: 0.5966 data_time: 0.0236 memory: 17350 grad_norm: 8.7222 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0239 loss: 1.0239 2022/07/24 11:52:44 - mmengine - INFO - Epoch(train) [79][2900/3757] lr: 1.0000e-03 eta: 14:46:54 time: 0.6901 data_time: 0.0588 memory: 17350 grad_norm: 8.4113 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9190 loss: 0.9190 2022/07/24 11:52:57 - mmengine - INFO - Epoch(train) [79][2920/3757] lr: 1.0000e-03 eta: 14:46:40 time: 0.6481 data_time: 0.0286 memory: 17350 grad_norm: 8.5980 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0360 loss: 1.0360 2022/07/24 11:53:10 - mmengine - INFO - Epoch(train) [79][2940/3757] lr: 1.0000e-03 eta: 14:46:27 time: 0.6720 data_time: 0.0216 memory: 17350 grad_norm: 8.2487 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9495 loss: 0.9495 2022/07/24 11:53:19 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 11:53:24 - mmengine - INFO - Epoch(train) [79][2960/3757] lr: 1.0000e-03 eta: 14:46:13 time: 0.6627 data_time: 0.0271 memory: 17350 grad_norm: 8.4608 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1201 loss: 1.1201 2022/07/24 11:53:37 - mmengine - INFO - Epoch(train) [79][2980/3757] lr: 1.0000e-03 eta: 14:46:00 time: 0.6703 data_time: 0.0224 memory: 17350 grad_norm: 8.5029 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8371 loss: 0.8371 2022/07/24 11:53:51 - mmengine - INFO - Epoch(train) [79][3000/3757] lr: 1.0000e-03 eta: 14:45:47 time: 0.6922 data_time: 0.0246 memory: 17350 grad_norm: 8.8625 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1062 loss: 1.1062 2022/07/24 11:54:03 - mmengine - INFO - Epoch(train) [79][3020/3757] lr: 1.0000e-03 eta: 14:45:33 time: 0.6210 data_time: 0.0250 memory: 17350 grad_norm: 8.7168 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1859 loss: 1.1859 2022/07/24 11:54:18 - mmengine - INFO - Epoch(train) [79][3040/3757] lr: 1.0000e-03 eta: 14:45:20 time: 0.7277 data_time: 0.0263 memory: 17350 grad_norm: 8.5538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2597 loss: 1.2597 2022/07/24 11:54:30 - mmengine - INFO - Epoch(train) [79][3060/3757] lr: 1.0000e-03 eta: 14:45:07 time: 0.5975 data_time: 0.0227 memory: 17350 grad_norm: 8.5082 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9469 loss: 0.9469 2022/07/24 11:54:43 - mmengine - INFO - Epoch(train) [79][3080/3757] lr: 1.0000e-03 eta: 14:44:53 time: 0.6652 data_time: 0.0254 memory: 17350 grad_norm: 9.1800 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1449 loss: 1.1449 2022/07/24 11:54:57 - mmengine - INFO - Epoch(train) [79][3100/3757] lr: 1.0000e-03 eta: 14:44:40 time: 0.7086 data_time: 0.0352 memory: 17350 grad_norm: 8.2615 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1142 loss: 1.1142 2022/07/24 11:55:11 - mmengine - INFO - Epoch(train) [79][3120/3757] lr: 1.0000e-03 eta: 14:44:27 time: 0.6646 data_time: 0.0245 memory: 17350 grad_norm: 8.6058 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0623 loss: 1.0623 2022/07/24 11:55:25 - mmengine - INFO - Epoch(train) [79][3140/3757] lr: 1.0000e-03 eta: 14:44:14 time: 0.7117 data_time: 0.0394 memory: 17350 grad_norm: 9.1391 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1868 loss: 1.1868 2022/07/24 11:55:37 - mmengine - INFO - Epoch(train) [79][3160/3757] lr: 1.0000e-03 eta: 14:44:00 time: 0.6228 data_time: 0.0558 memory: 17350 grad_norm: 8.8565 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1094 loss: 1.1094 2022/07/24 11:55:50 - mmengine - INFO - Epoch(train) [79][3180/3757] lr: 1.0000e-03 eta: 14:43:47 time: 0.6392 data_time: 0.1276 memory: 17350 grad_norm: 8.5662 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3870 loss: 1.3870 2022/07/24 11:56:04 - mmengine - INFO - Epoch(train) [79][3200/3757] lr: 1.0000e-03 eta: 14:43:33 time: 0.7023 data_time: 0.1562 memory: 17350 grad_norm: 8.5254 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9425 loss: 0.9425 2022/07/24 11:56:17 - mmengine - INFO - Epoch(train) [79][3220/3757] lr: 1.0000e-03 eta: 14:43:20 time: 0.6279 data_time: 0.1358 memory: 17350 grad_norm: 8.7109 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2378 loss: 1.2378 2022/07/24 11:56:31 - mmengine - INFO - Epoch(train) [79][3240/3757] lr: 1.0000e-03 eta: 14:43:07 time: 0.7266 data_time: 0.3120 memory: 17350 grad_norm: 8.9714 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1707 loss: 1.1707 2022/07/24 11:56:43 - mmengine - INFO - Epoch(train) [79][3260/3757] lr: 1.0000e-03 eta: 14:42:53 time: 0.5578 data_time: 0.2126 memory: 17350 grad_norm: 8.6953 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1474 loss: 1.1474 2022/07/24 11:56:58 - mmengine - INFO - Epoch(train) [79][3280/3757] lr: 1.0000e-03 eta: 14:42:40 time: 0.7463 data_time: 0.4057 memory: 17350 grad_norm: 8.6323 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1754 loss: 1.1754 2022/07/24 11:57:10 - mmengine - INFO - Epoch(train) [79][3300/3757] lr: 1.0000e-03 eta: 14:42:26 time: 0.6034 data_time: 0.2547 memory: 17350 grad_norm: 8.6897 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0678 loss: 1.0678 2022/07/24 11:57:23 - mmengine - INFO - Epoch(train) [79][3320/3757] lr: 1.0000e-03 eta: 14:42:13 time: 0.6824 data_time: 0.3464 memory: 17350 grad_norm: 8.7637 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0284 loss: 1.0284 2022/07/24 11:57:35 - mmengine - INFO - Epoch(train) [79][3340/3757] lr: 1.0000e-03 eta: 14:41:59 time: 0.5876 data_time: 0.2078 memory: 17350 grad_norm: 8.3505 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1571 loss: 1.1571 2022/07/24 11:57:49 - mmengine - INFO - Epoch(train) [79][3360/3757] lr: 1.0000e-03 eta: 14:41:46 time: 0.7049 data_time: 0.2711 memory: 17350 grad_norm: 8.3878 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9163 loss: 0.9163 2022/07/24 11:58:02 - mmengine - INFO - Epoch(train) [79][3380/3757] lr: 1.0000e-03 eta: 14:41:33 time: 0.6253 data_time: 0.0951 memory: 17350 grad_norm: 8.6271 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0584 loss: 1.0584 2022/07/24 11:58:16 - mmengine - INFO - Epoch(train) [79][3400/3757] lr: 1.0000e-03 eta: 14:41:19 time: 0.7142 data_time: 0.0426 memory: 17350 grad_norm: 8.6891 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2579 loss: 1.2579 2022/07/24 11:58:29 - mmengine - INFO - Epoch(train) [79][3420/3757] lr: 1.0000e-03 eta: 14:41:06 time: 0.6261 data_time: 0.0232 memory: 17350 grad_norm: 8.5095 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1586 loss: 1.1586 2022/07/24 11:58:43 - mmengine - INFO - Epoch(train) [79][3440/3757] lr: 1.0000e-03 eta: 14:40:53 time: 0.7285 data_time: 0.0390 memory: 17350 grad_norm: 8.4833 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1604 loss: 1.1604 2022/07/24 11:58:55 - mmengine - INFO - Epoch(train) [79][3460/3757] lr: 1.0000e-03 eta: 14:40:39 time: 0.5988 data_time: 0.0440 memory: 17350 grad_norm: 8.9669 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1946 loss: 1.1946 2022/07/24 11:59:10 - mmengine - INFO - Epoch(train) [79][3480/3757] lr: 1.0000e-03 eta: 14:40:26 time: 0.7600 data_time: 0.0249 memory: 17350 grad_norm: 8.6989 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0598 loss: 1.0598 2022/07/24 11:59:23 - mmengine - INFO - Epoch(train) [79][3500/3757] lr: 1.0000e-03 eta: 14:40:13 time: 0.6116 data_time: 0.0229 memory: 17350 grad_norm: 8.6450 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0314 loss: 1.0314 2022/07/24 11:59:38 - mmengine - INFO - Epoch(train) [79][3520/3757] lr: 1.0000e-03 eta: 14:40:00 time: 0.7572 data_time: 0.0243 memory: 17350 grad_norm: 8.6407 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2700 loss: 1.2700 2022/07/24 11:59:50 - mmengine - INFO - Epoch(train) [79][3540/3757] lr: 1.0000e-03 eta: 14:39:46 time: 0.6215 data_time: 0.0209 memory: 17350 grad_norm: 8.6218 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1454 loss: 1.1454 2022/07/24 12:00:05 - mmengine - INFO - Epoch(train) [79][3560/3757] lr: 1.0000e-03 eta: 14:39:33 time: 0.7444 data_time: 0.0313 memory: 17350 grad_norm: 8.5083 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9289 loss: 0.9289 2022/07/24 12:00:17 - mmengine - INFO - Epoch(train) [79][3580/3757] lr: 1.0000e-03 eta: 14:39:20 time: 0.5949 data_time: 0.0218 memory: 17350 grad_norm: 8.7853 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9659 loss: 0.9659 2022/07/24 12:00:32 - mmengine - INFO - Epoch(train) [79][3600/3757] lr: 1.0000e-03 eta: 14:39:07 time: 0.7294 data_time: 0.0214 memory: 17350 grad_norm: 8.6636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9043 loss: 0.9043 2022/07/24 12:00:43 - mmengine - INFO - Epoch(train) [79][3620/3757] lr: 1.0000e-03 eta: 14:38:53 time: 0.5894 data_time: 0.0222 memory: 17350 grad_norm: 8.8745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3045 loss: 1.3045 2022/07/24 12:00:57 - mmengine - INFO - Epoch(train) [79][3640/3757] lr: 1.0000e-03 eta: 14:38:39 time: 0.6664 data_time: 0.1253 memory: 17350 grad_norm: 8.7322 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0024 loss: 1.0024 2022/07/24 12:01:09 - mmengine - INFO - Epoch(train) [79][3660/3757] lr: 1.0000e-03 eta: 14:38:26 time: 0.6259 data_time: 0.0313 memory: 17350 grad_norm: 8.6125 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1053 loss: 1.1053 2022/07/24 12:01:25 - mmengine - INFO - Epoch(train) [79][3680/3757] lr: 1.0000e-03 eta: 14:38:13 time: 0.7747 data_time: 0.0652 memory: 17350 grad_norm: 8.9255 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1568 loss: 1.1568 2022/07/24 12:01:36 - mmengine - INFO - Epoch(train) [79][3700/3757] lr: 1.0000e-03 eta: 14:37:59 time: 0.5474 data_time: 0.0208 memory: 17350 grad_norm: 8.5959 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1832 loss: 1.1832 2022/07/24 12:01:50 - mmengine - INFO - Epoch(train) [79][3720/3757] lr: 1.0000e-03 eta: 14:37:46 time: 0.6892 data_time: 0.0213 memory: 17350 grad_norm: 8.6054 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0559 loss: 1.0559 2022/07/24 12:02:02 - mmengine - INFO - Epoch(train) [79][3740/3757] lr: 1.0000e-03 eta: 14:37:32 time: 0.6108 data_time: 0.0220 memory: 17350 grad_norm: 9.0215 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1937 loss: 1.1937 2022/07/24 12:02:11 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 12:02:11 - mmengine - INFO - Epoch(train) [79][3757/3757] lr: 1.0000e-03 eta: 14:37:32 time: 0.5282 data_time: 0.0231 memory: 17350 grad_norm: 8.7293 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0780 loss: 1.0780 2022/07/24 12:02:28 - mmengine - INFO - Epoch(val) [79][20/310] eta: 0:04:00 time: 0.8301 data_time: 0.7165 memory: 3406 2022/07/24 12:02:39 - mmengine - INFO - Epoch(val) [79][40/310] eta: 0:02:27 time: 0.5463 data_time: 0.4290 memory: 3406 2022/07/24 12:02:54 - mmengine - INFO - Epoch(val) [79][60/310] eta: 0:03:08 time: 0.7533 data_time: 0.6386 memory: 3406 2022/07/24 12:03:05 - mmengine - INFO - Epoch(val) [79][80/310] eta: 0:02:11 time: 0.5704 data_time: 0.4523 memory: 3406 2022/07/24 12:03:20 - mmengine - INFO - Epoch(val) [79][100/310] eta: 0:02:36 time: 0.7450 data_time: 0.6309 memory: 3406 2022/07/24 12:03:31 - mmengine - INFO - Epoch(val) [79][120/310] eta: 0:01:43 time: 0.5425 data_time: 0.4296 memory: 3406 2022/07/24 12:03:46 - mmengine - INFO - Epoch(val) [79][140/310] eta: 0:02:05 time: 0.7392 data_time: 0.6259 memory: 3406 2022/07/24 12:03:59 - mmengine - INFO - Epoch(val) [79][160/310] eta: 0:01:37 time: 0.6469 data_time: 0.5348 memory: 3406 2022/07/24 12:04:12 - mmengine - INFO - Epoch(val) [79][180/310] eta: 0:01:26 time: 0.6692 data_time: 0.5569 memory: 3406 2022/07/24 12:04:25 - mmengine - INFO - Epoch(val) [79][200/310] eta: 0:01:08 time: 0.6254 data_time: 0.5142 memory: 3406 2022/07/24 12:04:39 - mmengine - INFO - Epoch(val) [79][220/310] eta: 0:01:05 time: 0.7323 data_time: 0.6178 memory: 3406 2022/07/24 12:04:50 - mmengine - INFO - Epoch(val) [79][240/310] eta: 0:00:38 time: 0.5505 data_time: 0.4357 memory: 3406 2022/07/24 12:05:06 - mmengine - INFO - Epoch(val) [79][260/310] eta: 0:00:39 time: 0.7929 data_time: 0.6787 memory: 3406 2022/07/24 12:05:17 - mmengine - INFO - Epoch(val) [79][280/310] eta: 0:00:15 time: 0.5288 data_time: 0.4152 memory: 3406 2022/07/24 12:05:32 - mmengine - INFO - Epoch(val) [79][300/310] eta: 0:00:07 time: 0.7575 data_time: 0.6437 memory: 3406 2022/07/24 12:05:37 - mmengine - INFO - Epoch(val) [79][310/310] acc/top1: 0.6748 acc/top5: 0.8724 acc/mean1: 0.6747 2022/07/24 12:05:55 - mmengine - INFO - Epoch(train) [80][20/3757] lr: 1.0000e-03 eta: 14:37:06 time: 0.8728 data_time: 0.4551 memory: 17350 grad_norm: 8.6746 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1444 loss: 1.1444 2022/07/24 12:06:08 - mmengine - INFO - Epoch(train) [80][40/3757] lr: 1.0000e-03 eta: 14:36:52 time: 0.6392 data_time: 0.1785 memory: 17350 grad_norm: 8.6468 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2660 loss: 1.2660 2022/07/24 12:06:23 - mmengine - INFO - Epoch(train) [80][60/3757] lr: 1.0000e-03 eta: 14:36:39 time: 0.7346 data_time: 0.1411 memory: 17350 grad_norm: 8.3439 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0364 loss: 1.0364 2022/07/24 12:06:34 - mmengine - INFO - Epoch(train) [80][80/3757] lr: 1.0000e-03 eta: 14:36:25 time: 0.5956 data_time: 0.1172 memory: 17350 grad_norm: 8.5954 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0848 loss: 1.0848 2022/07/24 12:06:50 - mmengine - INFO - Epoch(train) [80][100/3757] lr: 1.0000e-03 eta: 14:36:13 time: 0.7597 data_time: 0.1041 memory: 17350 grad_norm: 8.8911 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0170 loss: 1.0170 2022/07/24 12:07:02 - mmengine - INFO - Epoch(train) [80][120/3757] lr: 1.0000e-03 eta: 14:35:59 time: 0.6192 data_time: 0.0281 memory: 17350 grad_norm: 8.4433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9203 loss: 0.9203 2022/07/24 12:07:16 - mmengine - INFO - Epoch(train) [80][140/3757] lr: 1.0000e-03 eta: 14:35:46 time: 0.7199 data_time: 0.0218 memory: 17350 grad_norm: 8.5201 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0070 loss: 1.0070 2022/07/24 12:07:28 - mmengine - INFO - Epoch(train) [80][160/3757] lr: 1.0000e-03 eta: 14:35:32 time: 0.5740 data_time: 0.0217 memory: 17350 grad_norm: 8.4590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1962 loss: 1.1962 2022/07/24 12:07:43 - mmengine - INFO - Epoch(train) [80][180/3757] lr: 1.0000e-03 eta: 14:35:19 time: 0.7359 data_time: 0.1511 memory: 17350 grad_norm: 8.5876 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2613 loss: 1.2613 2022/07/24 12:07:54 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 12:07:55 - mmengine - INFO - Epoch(train) [80][200/3757] lr: 1.0000e-03 eta: 14:35:05 time: 0.6148 data_time: 0.1027 memory: 17350 grad_norm: 8.9292 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0168 loss: 1.0168 2022/07/24 12:08:10 - mmengine - INFO - Epoch(train) [80][220/3757] lr: 1.0000e-03 eta: 14:34:53 time: 0.7578 data_time: 0.0777 memory: 17350 grad_norm: 8.6939 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0156 loss: 1.0156 2022/07/24 12:08:22 - mmengine - INFO - Epoch(train) [80][240/3757] lr: 1.0000e-03 eta: 14:34:39 time: 0.5769 data_time: 0.0341 memory: 17350 grad_norm: 7.9163 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8110 loss: 0.8110 2022/07/24 12:08:37 - mmengine - INFO - Epoch(train) [80][260/3757] lr: 1.0000e-03 eta: 14:34:26 time: 0.7409 data_time: 0.0792 memory: 17350 grad_norm: 8.5170 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2730 loss: 1.2730 2022/07/24 12:08:48 - mmengine - INFO - Epoch(train) [80][280/3757] lr: 1.0000e-03 eta: 14:34:12 time: 0.5883 data_time: 0.0957 memory: 17350 grad_norm: 8.7517 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1541 loss: 1.1541 2022/07/24 12:09:03 - mmengine - INFO - Epoch(train) [80][300/3757] lr: 1.0000e-03 eta: 14:33:59 time: 0.7381 data_time: 0.1065 memory: 17350 grad_norm: 8.5569 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0996 loss: 1.0996 2022/07/24 12:09:16 - mmengine - INFO - Epoch(train) [80][320/3757] lr: 1.0000e-03 eta: 14:33:46 time: 0.6254 data_time: 0.0693 memory: 17350 grad_norm: 8.5564 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2260 loss: 1.2260 2022/07/24 12:09:29 - mmengine - INFO - Epoch(train) [80][340/3757] lr: 1.0000e-03 eta: 14:33:32 time: 0.6851 data_time: 0.1082 memory: 17350 grad_norm: 8.6581 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1652 loss: 1.1652 2022/07/24 12:09:42 - mmengine - INFO - Epoch(train) [80][360/3757] lr: 1.0000e-03 eta: 14:33:19 time: 0.6284 data_time: 0.0807 memory: 17350 grad_norm: 8.6626 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1844 loss: 1.1844 2022/07/24 12:09:56 - mmengine - INFO - Epoch(train) [80][380/3757] lr: 1.0000e-03 eta: 14:33:06 time: 0.7093 data_time: 0.1860 memory: 17350 grad_norm: 8.5382 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9218 loss: 0.9218 2022/07/24 12:10:09 - mmengine - INFO - Epoch(train) [80][400/3757] lr: 1.0000e-03 eta: 14:32:52 time: 0.6494 data_time: 0.1707 memory: 17350 grad_norm: 8.5309 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2354 loss: 1.2354 2022/07/24 12:10:24 - mmengine - INFO - Epoch(train) [80][420/3757] lr: 1.0000e-03 eta: 14:32:39 time: 0.7323 data_time: 0.0734 memory: 17350 grad_norm: 8.2697 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1133 loss: 1.1133 2022/07/24 12:10:36 - mmengine - INFO - Epoch(train) [80][440/3757] lr: 1.0000e-03 eta: 14:32:26 time: 0.6214 data_time: 0.0242 memory: 17350 grad_norm: 8.4834 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0212 loss: 1.0212 2022/07/24 12:10:51 - mmengine - INFO - Epoch(train) [80][460/3757] lr: 1.0000e-03 eta: 14:32:13 time: 0.7517 data_time: 0.0229 memory: 17350 grad_norm: 8.6541 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7440 loss: 0.7440 2022/07/24 12:11:03 - mmengine - INFO - Epoch(train) [80][480/3757] lr: 1.0000e-03 eta: 14:31:59 time: 0.5923 data_time: 0.0232 memory: 17350 grad_norm: 8.7120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1602 loss: 1.1602 2022/07/24 12:11:18 - mmengine - INFO - Epoch(train) [80][500/3757] lr: 1.0000e-03 eta: 14:31:46 time: 0.7180 data_time: 0.0203 memory: 17350 grad_norm: 8.6134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8477 loss: 0.8477 2022/07/24 12:11:29 - mmengine - INFO - Epoch(train) [80][520/3757] lr: 1.0000e-03 eta: 14:31:32 time: 0.5802 data_time: 0.0228 memory: 17350 grad_norm: 8.5363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1990 loss: 1.1990 2022/07/24 12:11:44 - mmengine - INFO - Epoch(train) [80][540/3757] lr: 1.0000e-03 eta: 14:31:19 time: 0.7262 data_time: 0.0224 memory: 17350 grad_norm: 8.7785 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3661 loss: 1.3661 2022/07/24 12:11:56 - mmengine - INFO - Epoch(train) [80][560/3757] lr: 1.0000e-03 eta: 14:31:05 time: 0.6070 data_time: 0.0224 memory: 17350 grad_norm: 8.7977 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0904 loss: 1.0904 2022/07/24 12:12:11 - mmengine - INFO - Epoch(train) [80][580/3757] lr: 1.0000e-03 eta: 14:30:52 time: 0.7315 data_time: 0.0233 memory: 17350 grad_norm: 8.6566 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8659 loss: 0.8659 2022/07/24 12:12:23 - mmengine - INFO - Epoch(train) [80][600/3757] lr: 1.0000e-03 eta: 14:30:39 time: 0.6148 data_time: 0.0228 memory: 17350 grad_norm: 8.5519 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0017 loss: 1.0017 2022/07/24 12:12:38 - mmengine - INFO - Epoch(train) [80][620/3757] lr: 1.0000e-03 eta: 14:30:26 time: 0.7602 data_time: 0.0213 memory: 17350 grad_norm: 8.4830 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9972 loss: 0.9972 2022/07/24 12:12:49 - mmengine - INFO - Epoch(train) [80][640/3757] lr: 1.0000e-03 eta: 14:30:12 time: 0.5527 data_time: 0.0223 memory: 17350 grad_norm: 8.7366 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0832 loss: 1.0832 2022/07/24 12:13:03 - mmengine - INFO - Epoch(train) [80][660/3757] lr: 1.0000e-03 eta: 14:29:59 time: 0.7125 data_time: 0.0254 memory: 17350 grad_norm: 8.7111 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0405 loss: 1.0405 2022/07/24 12:13:15 - mmengine - INFO - Epoch(train) [80][680/3757] lr: 1.0000e-03 eta: 14:29:45 time: 0.5835 data_time: 0.0234 memory: 17350 grad_norm: 8.6037 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1443 loss: 1.1443 2022/07/24 12:13:30 - mmengine - INFO - Epoch(train) [80][700/3757] lr: 1.0000e-03 eta: 14:29:32 time: 0.7202 data_time: 0.0230 memory: 17350 grad_norm: 8.6194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9758 loss: 0.9758 2022/07/24 12:13:42 - mmengine - INFO - Epoch(train) [80][720/3757] lr: 1.0000e-03 eta: 14:29:18 time: 0.6145 data_time: 0.0245 memory: 17350 grad_norm: 8.7225 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7453 loss: 0.7453 2022/07/24 12:13:56 - mmengine - INFO - Epoch(train) [80][740/3757] lr: 1.0000e-03 eta: 14:29:05 time: 0.6949 data_time: 0.0222 memory: 17350 grad_norm: 8.6144 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0884 loss: 1.0884 2022/07/24 12:14:08 - mmengine - INFO - Epoch(train) [80][760/3757] lr: 1.0000e-03 eta: 14:28:52 time: 0.6058 data_time: 0.0227 memory: 17350 grad_norm: 8.4541 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3407 loss: 1.3407 2022/07/24 12:14:23 - mmengine - INFO - Epoch(train) [80][780/3757] lr: 1.0000e-03 eta: 14:28:39 time: 0.7352 data_time: 0.0203 memory: 17350 grad_norm: 8.7435 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0462 loss: 1.0462 2022/07/24 12:14:35 - mmengine - INFO - Epoch(train) [80][800/3757] lr: 1.0000e-03 eta: 14:28:25 time: 0.6116 data_time: 0.0229 memory: 17350 grad_norm: 8.5239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0933 loss: 1.0933 2022/07/24 12:14:50 - mmengine - INFO - Epoch(train) [80][820/3757] lr: 1.0000e-03 eta: 14:28:12 time: 0.7445 data_time: 0.0221 memory: 17350 grad_norm: 8.6775 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9766 loss: 0.9766 2022/07/24 12:15:02 - mmengine - INFO - Epoch(train) [80][840/3757] lr: 1.0000e-03 eta: 14:27:58 time: 0.6118 data_time: 0.0223 memory: 17350 grad_norm: 8.9649 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0462 loss: 1.0462 2022/07/24 12:15:17 - mmengine - INFO - Epoch(train) [80][860/3757] lr: 1.0000e-03 eta: 14:27:46 time: 0.7656 data_time: 0.0250 memory: 17350 grad_norm: 8.2961 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1565 loss: 1.1565 2022/07/24 12:15:29 - mmengine - INFO - Epoch(train) [80][880/3757] lr: 1.0000e-03 eta: 14:27:32 time: 0.5952 data_time: 0.0220 memory: 17350 grad_norm: 8.6931 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1022 loss: 1.1022 2022/07/24 12:15:44 - mmengine - INFO - Epoch(train) [80][900/3757] lr: 1.0000e-03 eta: 14:27:19 time: 0.7095 data_time: 0.0218 memory: 17350 grad_norm: 8.1951 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8397 loss: 0.8397 2022/07/24 12:15:56 - mmengine - INFO - Epoch(train) [80][920/3757] lr: 1.0000e-03 eta: 14:27:05 time: 0.6287 data_time: 0.0235 memory: 17350 grad_norm: 8.1718 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9016 loss: 0.9016 2022/07/24 12:16:11 - mmengine - INFO - Epoch(train) [80][940/3757] lr: 1.0000e-03 eta: 14:26:52 time: 0.7186 data_time: 0.0215 memory: 17350 grad_norm: 8.5355 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1371 loss: 1.1371 2022/07/24 12:16:23 - mmengine - INFO - Epoch(train) [80][960/3757] lr: 1.0000e-03 eta: 14:26:38 time: 0.6045 data_time: 0.0230 memory: 17350 grad_norm: 8.3179 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9195 loss: 0.9195 2022/07/24 12:16:37 - mmengine - INFO - Epoch(train) [80][980/3757] lr: 1.0000e-03 eta: 14:26:25 time: 0.7400 data_time: 0.0215 memory: 17350 grad_norm: 8.8375 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0621 loss: 1.0621 2022/07/24 12:16:49 - mmengine - INFO - Epoch(train) [80][1000/3757] lr: 1.0000e-03 eta: 14:26:12 time: 0.5868 data_time: 0.0228 memory: 17350 grad_norm: 8.4472 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9718 loss: 0.9718 2022/07/24 12:17:04 - mmengine - INFO - Epoch(train) [80][1020/3757] lr: 1.0000e-03 eta: 14:25:59 time: 0.7261 data_time: 0.0226 memory: 17350 grad_norm: 8.7322 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9716 loss: 0.9716 2022/07/24 12:17:15 - mmengine - INFO - Epoch(train) [80][1040/3757] lr: 1.0000e-03 eta: 14:25:45 time: 0.5796 data_time: 0.0207 memory: 17350 grad_norm: 8.8965 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2200 loss: 1.2200 2022/07/24 12:17:29 - mmengine - INFO - Epoch(train) [80][1060/3757] lr: 1.0000e-03 eta: 14:25:32 time: 0.6899 data_time: 0.0210 memory: 17350 grad_norm: 8.6964 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0325 loss: 1.0325 2022/07/24 12:17:42 - mmengine - INFO - Epoch(train) [80][1080/3757] lr: 1.0000e-03 eta: 14:25:18 time: 0.6578 data_time: 0.0215 memory: 17350 grad_norm: 8.4718 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3495 loss: 1.3495 2022/07/24 12:17:56 - mmengine - INFO - Epoch(train) [80][1100/3757] lr: 1.0000e-03 eta: 14:25:05 time: 0.6959 data_time: 0.0253 memory: 17350 grad_norm: 8.7510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0668 loss: 1.0668 2022/07/24 12:18:09 - mmengine - INFO - Epoch(train) [80][1120/3757] lr: 1.0000e-03 eta: 14:24:51 time: 0.6132 data_time: 0.0209 memory: 17350 grad_norm: 8.6411 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0276 loss: 1.0276 2022/07/24 12:18:23 - mmengine - INFO - Epoch(train) [80][1140/3757] lr: 1.0000e-03 eta: 14:24:38 time: 0.7289 data_time: 0.0228 memory: 17350 grad_norm: 8.8922 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0667 loss: 1.0667 2022/07/24 12:18:35 - mmengine - INFO - Epoch(train) [80][1160/3757] lr: 1.0000e-03 eta: 14:24:25 time: 0.6118 data_time: 0.0226 memory: 17350 grad_norm: 8.5606 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0909 loss: 1.0909 2022/07/24 12:18:49 - mmengine - INFO - Epoch(train) [80][1180/3757] lr: 1.0000e-03 eta: 14:24:12 time: 0.6928 data_time: 0.0225 memory: 17350 grad_norm: 8.5714 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7762 loss: 0.7762 2022/07/24 12:19:00 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 12:19:01 - mmengine - INFO - Epoch(train) [80][1200/3757] lr: 1.0000e-03 eta: 14:23:58 time: 0.6108 data_time: 0.0241 memory: 17350 grad_norm: 8.4483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0873 loss: 1.0873 2022/07/24 12:19:16 - mmengine - INFO - Epoch(train) [80][1220/3757] lr: 1.0000e-03 eta: 14:23:45 time: 0.7163 data_time: 0.0235 memory: 17350 grad_norm: 8.5250 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9574 loss: 0.9574 2022/07/24 12:19:28 - mmengine - INFO - Epoch(train) [80][1240/3757] lr: 1.0000e-03 eta: 14:23:31 time: 0.6058 data_time: 0.0222 memory: 17350 grad_norm: 9.1573 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9762 loss: 0.9762 2022/07/24 12:19:43 - mmengine - INFO - Epoch(train) [80][1260/3757] lr: 1.0000e-03 eta: 14:23:18 time: 0.7398 data_time: 0.0219 memory: 17350 grad_norm: 8.6798 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0888 loss: 1.0888 2022/07/24 12:19:55 - mmengine - INFO - Epoch(train) [80][1280/3757] lr: 1.0000e-03 eta: 14:23:04 time: 0.6081 data_time: 0.0229 memory: 17350 grad_norm: 8.9539 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1921 loss: 1.1921 2022/07/24 12:20:10 - mmengine - INFO - Epoch(train) [80][1300/3757] lr: 1.0000e-03 eta: 14:22:52 time: 0.7508 data_time: 0.0211 memory: 17350 grad_norm: 9.2076 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3198 loss: 1.3198 2022/07/24 12:20:23 - mmengine - INFO - Epoch(train) [80][1320/3757] lr: 1.0000e-03 eta: 14:22:38 time: 0.6260 data_time: 0.0247 memory: 17350 grad_norm: 8.8816 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1019 loss: 1.1019 2022/07/24 12:20:36 - mmengine - INFO - Epoch(train) [80][1340/3757] lr: 1.0000e-03 eta: 14:22:25 time: 0.6963 data_time: 0.0223 memory: 17350 grad_norm: 8.6724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2020 loss: 1.2020 2022/07/24 12:20:49 - mmengine - INFO - Epoch(train) [80][1360/3757] lr: 1.0000e-03 eta: 14:22:11 time: 0.6056 data_time: 0.0213 memory: 17350 grad_norm: 8.6140 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1432 loss: 1.1432 2022/07/24 12:21:03 - mmengine - INFO - Epoch(train) [80][1380/3757] lr: 1.0000e-03 eta: 14:21:58 time: 0.7222 data_time: 0.0219 memory: 17350 grad_norm: 8.8676 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8182 loss: 0.8182 2022/07/24 12:21:15 - mmengine - INFO - Epoch(train) [80][1400/3757] lr: 1.0000e-03 eta: 14:21:45 time: 0.6159 data_time: 0.0258 memory: 17350 grad_norm: 8.5811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0974 loss: 1.0974 2022/07/24 12:21:30 - mmengine - INFO - Epoch(train) [80][1420/3757] lr: 1.0000e-03 eta: 14:21:31 time: 0.7093 data_time: 0.0209 memory: 17350 grad_norm: 8.8377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9998 loss: 0.9998 2022/07/24 12:21:42 - mmengine - INFO - Epoch(train) [80][1440/3757] lr: 1.0000e-03 eta: 14:21:18 time: 0.5956 data_time: 0.0214 memory: 17350 grad_norm: 8.6049 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0314 loss: 1.0314 2022/07/24 12:21:55 - mmengine - INFO - Epoch(train) [80][1460/3757] lr: 1.0000e-03 eta: 14:21:04 time: 0.6964 data_time: 0.0230 memory: 17350 grad_norm: 8.3276 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3289 loss: 1.3289 2022/07/24 12:22:08 - mmengine - INFO - Epoch(train) [80][1480/3757] lr: 1.0000e-03 eta: 14:20:51 time: 0.6145 data_time: 0.0235 memory: 17350 grad_norm: 8.1923 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9625 loss: 0.9625 2022/07/24 12:22:23 - mmengine - INFO - Epoch(train) [80][1500/3757] lr: 1.0000e-03 eta: 14:20:38 time: 0.7414 data_time: 0.0211 memory: 17350 grad_norm: 8.6156 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1434 loss: 1.1434 2022/07/24 12:22:35 - mmengine - INFO - Epoch(train) [80][1520/3757] lr: 1.0000e-03 eta: 14:20:24 time: 0.6168 data_time: 0.0226 memory: 17350 grad_norm: 8.7863 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2582 loss: 1.2582 2022/07/24 12:22:49 - mmengine - INFO - Epoch(train) [80][1540/3757] lr: 1.0000e-03 eta: 14:20:11 time: 0.7069 data_time: 0.0314 memory: 17350 grad_norm: 8.9401 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8916 loss: 0.8916 2022/07/24 12:23:02 - mmengine - INFO - Epoch(train) [80][1560/3757] lr: 1.0000e-03 eta: 14:19:58 time: 0.6181 data_time: 0.0254 memory: 17350 grad_norm: 8.6023 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1058 loss: 1.1058 2022/07/24 12:23:16 - mmengine - INFO - Epoch(train) [80][1580/3757] lr: 1.0000e-03 eta: 14:19:45 time: 0.7331 data_time: 0.0234 memory: 17350 grad_norm: 8.1716 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0883 loss: 1.0883 2022/07/24 12:23:28 - mmengine - INFO - Epoch(train) [80][1600/3757] lr: 1.0000e-03 eta: 14:19:31 time: 0.5835 data_time: 0.0309 memory: 17350 grad_norm: 8.5637 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0820 loss: 1.0820 2022/07/24 12:23:42 - mmengine - INFO - Epoch(train) [80][1620/3757] lr: 1.0000e-03 eta: 14:19:18 time: 0.7008 data_time: 0.0342 memory: 17350 grad_norm: 8.9113 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1799 loss: 1.1799 2022/07/24 12:23:55 - mmengine - INFO - Epoch(train) [80][1640/3757] lr: 1.0000e-03 eta: 14:19:04 time: 0.6355 data_time: 0.0419 memory: 17350 grad_norm: 9.0556 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1871 loss: 1.1871 2022/07/24 12:24:09 - mmengine - INFO - Epoch(train) [80][1660/3757] lr: 1.0000e-03 eta: 14:18:51 time: 0.7094 data_time: 0.0285 memory: 17350 grad_norm: 8.8918 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1165 loss: 1.1165 2022/07/24 12:24:21 - mmengine - INFO - Epoch(train) [80][1680/3757] lr: 1.0000e-03 eta: 14:18:37 time: 0.5994 data_time: 0.0216 memory: 17350 grad_norm: 8.9380 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1146 loss: 1.1146 2022/07/24 12:24:36 - mmengine - INFO - Epoch(train) [80][1700/3757] lr: 1.0000e-03 eta: 14:18:24 time: 0.7358 data_time: 0.0239 memory: 17350 grad_norm: 8.7499 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1000 loss: 1.1000 2022/07/24 12:24:48 - mmengine - INFO - Epoch(train) [80][1720/3757] lr: 1.0000e-03 eta: 14:18:11 time: 0.6218 data_time: 0.0221 memory: 17350 grad_norm: 8.8446 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1860 loss: 1.1860 2022/07/24 12:25:03 - mmengine - INFO - Epoch(train) [80][1740/3757] lr: 1.0000e-03 eta: 14:17:58 time: 0.7388 data_time: 0.0210 memory: 17350 grad_norm: 8.3311 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0758 loss: 1.0758 2022/07/24 12:25:15 - mmengine - INFO - Epoch(train) [80][1760/3757] lr: 1.0000e-03 eta: 14:17:44 time: 0.6134 data_time: 0.0269 memory: 17350 grad_norm: 8.5506 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1216 loss: 1.1216 2022/07/24 12:25:29 - mmengine - INFO - Epoch(train) [80][1780/3757] lr: 1.0000e-03 eta: 14:17:31 time: 0.6945 data_time: 0.0214 memory: 17350 grad_norm: 8.8450 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1182 loss: 1.1182 2022/07/24 12:25:42 - mmengine - INFO - Epoch(train) [80][1800/3757] lr: 1.0000e-03 eta: 14:17:17 time: 0.6311 data_time: 0.0212 memory: 17350 grad_norm: 8.9516 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1422 loss: 1.1422 2022/07/24 12:25:56 - mmengine - INFO - Epoch(train) [80][1820/3757] lr: 1.0000e-03 eta: 14:17:04 time: 0.7306 data_time: 0.0217 memory: 17350 grad_norm: 8.4351 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9298 loss: 0.9298 2022/07/24 12:26:09 - mmengine - INFO - Epoch(train) [80][1840/3757] lr: 1.0000e-03 eta: 14:16:51 time: 0.6169 data_time: 0.0215 memory: 17350 grad_norm: 8.3671 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8612 loss: 0.8612 2022/07/24 12:26:23 - mmengine - INFO - Epoch(train) [80][1860/3757] lr: 1.0000e-03 eta: 14:16:38 time: 0.7072 data_time: 0.0219 memory: 17350 grad_norm: 8.6688 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0653 loss: 1.0653 2022/07/24 12:26:34 - mmengine - INFO - Epoch(train) [80][1880/3757] lr: 1.0000e-03 eta: 14:16:24 time: 0.5792 data_time: 0.0236 memory: 17350 grad_norm: 8.3118 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9685 loss: 0.9685 2022/07/24 12:26:49 - mmengine - INFO - Epoch(train) [80][1900/3757] lr: 1.0000e-03 eta: 14:16:11 time: 0.7325 data_time: 0.0224 memory: 17350 grad_norm: 8.7694 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2561 loss: 1.2561 2022/07/24 12:27:02 - mmengine - INFO - Epoch(train) [80][1920/3757] lr: 1.0000e-03 eta: 14:15:57 time: 0.6373 data_time: 0.1022 memory: 17350 grad_norm: 8.6965 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1337 loss: 1.1337 2022/07/24 12:27:16 - mmengine - INFO - Epoch(train) [80][1940/3757] lr: 1.0000e-03 eta: 14:15:44 time: 0.6843 data_time: 0.0793 memory: 17350 grad_norm: 8.3960 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0749 loss: 1.0749 2022/07/24 12:27:28 - mmengine - INFO - Epoch(train) [80][1960/3757] lr: 1.0000e-03 eta: 14:15:31 time: 0.6356 data_time: 0.1135 memory: 17350 grad_norm: 8.3719 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0167 loss: 1.0167 2022/07/24 12:27:43 - mmengine - INFO - Epoch(train) [80][1980/3757] lr: 1.0000e-03 eta: 14:15:18 time: 0.7431 data_time: 0.0438 memory: 17350 grad_norm: 8.4098 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9342 loss: 0.9342 2022/07/24 12:27:55 - mmengine - INFO - Epoch(train) [80][2000/3757] lr: 1.0000e-03 eta: 14:15:04 time: 0.5787 data_time: 0.0257 memory: 17350 grad_norm: 9.0004 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0124 loss: 1.0124 2022/07/24 12:28:09 - mmengine - INFO - Epoch(train) [80][2020/3757] lr: 1.0000e-03 eta: 14:14:51 time: 0.7208 data_time: 0.0220 memory: 17350 grad_norm: 8.3717 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9346 loss: 0.9346 2022/07/24 12:28:21 - mmengine - INFO - Epoch(train) [80][2040/3757] lr: 1.0000e-03 eta: 14:14:37 time: 0.5915 data_time: 0.0215 memory: 17350 grad_norm: 9.3043 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2541 loss: 1.2541 2022/07/24 12:28:36 - mmengine - INFO - Epoch(train) [80][2060/3757] lr: 1.0000e-03 eta: 14:14:24 time: 0.7235 data_time: 0.0312 memory: 17350 grad_norm: 8.3952 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0303 loss: 1.0303 2022/07/24 12:28:48 - mmengine - INFO - Epoch(train) [80][2080/3757] lr: 1.0000e-03 eta: 14:14:10 time: 0.6075 data_time: 0.0232 memory: 17350 grad_norm: 8.7033 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9783 loss: 0.9783 2022/07/24 12:29:02 - mmengine - INFO - Epoch(train) [80][2100/3757] lr: 1.0000e-03 eta: 14:13:57 time: 0.7228 data_time: 0.0214 memory: 17350 grad_norm: 8.7606 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3562 loss: 1.3562 2022/07/24 12:29:15 - mmengine - INFO - Epoch(train) [80][2120/3757] lr: 1.0000e-03 eta: 14:13:44 time: 0.6522 data_time: 0.0240 memory: 17350 grad_norm: 8.5168 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2344 loss: 1.2344 2022/07/24 12:29:29 - mmengine - INFO - Epoch(train) [80][2140/3757] lr: 1.0000e-03 eta: 14:13:30 time: 0.6672 data_time: 0.0214 memory: 17350 grad_norm: 8.6070 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0098 loss: 1.0098 2022/07/24 12:29:41 - mmengine - INFO - Epoch(train) [80][2160/3757] lr: 1.0000e-03 eta: 14:13:17 time: 0.6255 data_time: 0.0216 memory: 17350 grad_norm: 8.4430 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3347 loss: 1.3347 2022/07/24 12:29:55 - mmengine - INFO - Epoch(train) [80][2180/3757] lr: 1.0000e-03 eta: 14:13:04 time: 0.7172 data_time: 0.0229 memory: 17350 grad_norm: 8.9331 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0073 loss: 1.0073 2022/07/24 12:30:07 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 12:30:08 - mmengine - INFO - Epoch(train) [80][2200/3757] lr: 1.0000e-03 eta: 14:12:50 time: 0.6162 data_time: 0.0233 memory: 17350 grad_norm: 8.5883 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8748 loss: 0.8748 2022/07/24 12:30:23 - mmengine - INFO - Epoch(train) [80][2220/3757] lr: 1.0000e-03 eta: 14:12:37 time: 0.7622 data_time: 0.0207 memory: 17350 grad_norm: 8.6116 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9366 loss: 0.9366 2022/07/24 12:30:35 - mmengine - INFO - Epoch(train) [80][2240/3757] lr: 1.0000e-03 eta: 14:12:24 time: 0.6194 data_time: 0.0218 memory: 17350 grad_norm: 9.0397 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3570 loss: 1.3570 2022/07/24 12:30:49 - mmengine - INFO - Epoch(train) [80][2260/3757] lr: 1.0000e-03 eta: 14:12:10 time: 0.6737 data_time: 0.0217 memory: 17350 grad_norm: 8.3666 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9087 loss: 0.9087 2022/07/24 12:31:03 - mmengine - INFO - Epoch(train) [80][2280/3757] lr: 1.0000e-03 eta: 14:11:57 time: 0.6760 data_time: 0.0227 memory: 17350 grad_norm: 8.8544 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1950 loss: 1.1950 2022/07/24 12:31:16 - mmengine - INFO - Epoch(train) [80][2300/3757] lr: 1.0000e-03 eta: 14:11:44 time: 0.6552 data_time: 0.0309 memory: 17350 grad_norm: 8.5568 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0080 loss: 1.0080 2022/07/24 12:31:30 - mmengine - INFO - Epoch(train) [80][2320/3757] lr: 1.0000e-03 eta: 14:11:31 time: 0.7117 data_time: 0.0213 memory: 17350 grad_norm: 8.3032 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1392 loss: 1.1392 2022/07/24 12:31:43 - mmengine - INFO - Epoch(train) [80][2340/3757] lr: 1.0000e-03 eta: 14:11:17 time: 0.6297 data_time: 0.0225 memory: 17350 grad_norm: 8.5584 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0758 loss: 1.0758 2022/07/24 12:31:57 - mmengine - INFO - Epoch(train) [80][2360/3757] lr: 1.0000e-03 eta: 14:11:04 time: 0.7244 data_time: 0.0273 memory: 17350 grad_norm: 8.3902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8736 loss: 0.8736 2022/07/24 12:32:09 - mmengine - INFO - Epoch(train) [80][2380/3757] lr: 1.0000e-03 eta: 14:10:50 time: 0.6146 data_time: 0.0224 memory: 17350 grad_norm: 8.3720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0694 loss: 1.0694 2022/07/24 12:32:23 - mmengine - INFO - Epoch(train) [80][2400/3757] lr: 1.0000e-03 eta: 14:10:37 time: 0.6772 data_time: 0.0191 memory: 17350 grad_norm: 8.5287 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9924 loss: 0.9924 2022/07/24 12:32:35 - mmengine - INFO - Epoch(train) [80][2420/3757] lr: 1.0000e-03 eta: 14:10:24 time: 0.6136 data_time: 0.0242 memory: 17350 grad_norm: 8.6241 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1095 loss: 1.1095 2022/07/24 12:32:50 - mmengine - INFO - Epoch(train) [80][2440/3757] lr: 1.0000e-03 eta: 14:10:11 time: 0.7430 data_time: 0.0235 memory: 17350 grad_norm: 8.2639 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9473 loss: 0.9473 2022/07/24 12:33:03 - mmengine - INFO - Epoch(train) [80][2460/3757] lr: 1.0000e-03 eta: 14:09:57 time: 0.6302 data_time: 0.0222 memory: 17350 grad_norm: 8.5479 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0415 loss: 1.0415 2022/07/24 12:33:17 - mmengine - INFO - Epoch(train) [80][2480/3757] lr: 1.0000e-03 eta: 14:09:44 time: 0.6968 data_time: 0.0226 memory: 17350 grad_norm: 9.2856 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2441 loss: 1.2441 2022/07/24 12:33:29 - mmengine - INFO - Epoch(train) [80][2500/3757] lr: 1.0000e-03 eta: 14:09:30 time: 0.6380 data_time: 0.0220 memory: 17350 grad_norm: 8.3201 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3427 loss: 1.3427 2022/07/24 12:33:44 - mmengine - INFO - Epoch(train) [80][2520/3757] lr: 1.0000e-03 eta: 14:09:17 time: 0.7263 data_time: 0.0203 memory: 17350 grad_norm: 8.7618 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0494 loss: 1.0494 2022/07/24 12:33:56 - mmengine - INFO - Epoch(train) [80][2540/3757] lr: 1.0000e-03 eta: 14:09:04 time: 0.5993 data_time: 0.0341 memory: 17350 grad_norm: 8.4529 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1434 loss: 1.1434 2022/07/24 12:34:11 - mmengine - INFO - Epoch(train) [80][2560/3757] lr: 1.0000e-03 eta: 14:08:51 time: 0.7267 data_time: 0.0219 memory: 17350 grad_norm: 8.6093 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2730 loss: 1.2730 2022/07/24 12:34:22 - mmengine - INFO - Epoch(train) [80][2580/3757] lr: 1.0000e-03 eta: 14:08:37 time: 0.5619 data_time: 0.0235 memory: 17350 grad_norm: 8.6798 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2375 loss: 1.2375 2022/07/24 12:34:36 - mmengine - INFO - Epoch(train) [80][2600/3757] lr: 1.0000e-03 eta: 14:08:24 time: 0.7104 data_time: 0.0235 memory: 17350 grad_norm: 8.7308 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0120 loss: 1.0120 2022/07/24 12:34:49 - mmengine - INFO - Epoch(train) [80][2620/3757] lr: 1.0000e-03 eta: 14:08:10 time: 0.6293 data_time: 0.0224 memory: 17350 grad_norm: 8.7011 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1576 loss: 1.1576 2022/07/24 12:35:03 - mmengine - INFO - Epoch(train) [80][2640/3757] lr: 1.0000e-03 eta: 14:07:57 time: 0.7278 data_time: 0.0225 memory: 17350 grad_norm: 8.2845 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8900 loss: 0.8900 2022/07/24 12:35:16 - mmengine - INFO - Epoch(train) [80][2660/3757] lr: 1.0000e-03 eta: 14:07:43 time: 0.6259 data_time: 0.0235 memory: 17350 grad_norm: 8.5282 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7864 loss: 0.7864 2022/07/24 12:35:30 - mmengine - INFO - Epoch(train) [80][2680/3757] lr: 1.0000e-03 eta: 14:07:30 time: 0.7353 data_time: 0.0235 memory: 17350 grad_norm: 8.7173 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8905 loss: 0.8905 2022/07/24 12:35:42 - mmengine - INFO - Epoch(train) [80][2700/3757] lr: 1.0000e-03 eta: 14:07:17 time: 0.5993 data_time: 0.0238 memory: 17350 grad_norm: 8.5317 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2287 loss: 1.2287 2022/07/24 12:35:57 - mmengine - INFO - Epoch(train) [80][2720/3757] lr: 1.0000e-03 eta: 14:07:04 time: 0.7320 data_time: 0.0238 memory: 17350 grad_norm: 8.9227 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0520 loss: 1.0520 2022/07/24 12:36:09 - mmengine - INFO - Epoch(train) [80][2740/3757] lr: 1.0000e-03 eta: 14:06:50 time: 0.5882 data_time: 0.0221 memory: 17350 grad_norm: 8.9081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1008 loss: 1.1008 2022/07/24 12:36:24 - mmengine - INFO - Epoch(train) [80][2760/3757] lr: 1.0000e-03 eta: 14:06:37 time: 0.7589 data_time: 0.0224 memory: 17350 grad_norm: 8.3882 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8169 loss: 0.8169 2022/07/24 12:36:36 - mmengine - INFO - Epoch(train) [80][2780/3757] lr: 1.0000e-03 eta: 14:06:23 time: 0.5853 data_time: 0.0231 memory: 17350 grad_norm: 8.4568 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0899 loss: 1.0899 2022/07/24 12:36:50 - mmengine - INFO - Epoch(train) [80][2800/3757] lr: 1.0000e-03 eta: 14:06:10 time: 0.7334 data_time: 0.0218 memory: 17350 grad_norm: 8.6475 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9625 loss: 0.9625 2022/07/24 12:37:03 - mmengine - INFO - Epoch(train) [80][2820/3757] lr: 1.0000e-03 eta: 14:05:57 time: 0.6303 data_time: 0.0212 memory: 17350 grad_norm: 8.8025 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1624 loss: 1.1624 2022/07/24 12:37:17 - mmengine - INFO - Epoch(train) [80][2840/3757] lr: 1.0000e-03 eta: 14:05:44 time: 0.6822 data_time: 0.0228 memory: 17350 grad_norm: 8.9614 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1285 loss: 1.1285 2022/07/24 12:37:29 - mmengine - INFO - Epoch(train) [80][2860/3757] lr: 1.0000e-03 eta: 14:05:30 time: 0.6273 data_time: 0.0213 memory: 17350 grad_norm: 8.5375 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2828 loss: 1.2828 2022/07/24 12:37:43 - mmengine - INFO - Epoch(train) [80][2880/3757] lr: 1.0000e-03 eta: 14:05:17 time: 0.7075 data_time: 0.0220 memory: 17350 grad_norm: 8.8604 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1512 loss: 1.1512 2022/07/24 12:37:55 - mmengine - INFO - Epoch(train) [80][2900/3757] lr: 1.0000e-03 eta: 14:05:03 time: 0.5761 data_time: 0.0241 memory: 17350 grad_norm: 8.8020 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0023 loss: 1.0023 2022/07/24 12:38:11 - mmengine - INFO - Epoch(train) [80][2920/3757] lr: 1.0000e-03 eta: 14:04:50 time: 0.7750 data_time: 0.0207 memory: 17350 grad_norm: 8.4743 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1886 loss: 1.1886 2022/07/24 12:38:23 - mmengine - INFO - Epoch(train) [80][2940/3757] lr: 1.0000e-03 eta: 14:04:37 time: 0.6056 data_time: 0.0236 memory: 17350 grad_norm: 8.3702 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9741 loss: 0.9741 2022/07/24 12:38:36 - mmengine - INFO - Epoch(train) [80][2960/3757] lr: 1.0000e-03 eta: 14:04:23 time: 0.6897 data_time: 0.0219 memory: 17350 grad_norm: 8.6121 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8320 loss: 0.8320 2022/07/24 12:38:49 - mmengine - INFO - Epoch(train) [80][2980/3757] lr: 1.0000e-03 eta: 14:04:10 time: 0.6215 data_time: 0.0207 memory: 17350 grad_norm: 8.6865 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2729 loss: 1.2729 2022/07/24 12:39:04 - mmengine - INFO - Epoch(train) [80][3000/3757] lr: 1.0000e-03 eta: 14:03:57 time: 0.7421 data_time: 0.0219 memory: 17350 grad_norm: 8.2760 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0865 loss: 1.0865 2022/07/24 12:39:15 - mmengine - INFO - Epoch(train) [80][3020/3757] lr: 1.0000e-03 eta: 14:03:43 time: 0.5649 data_time: 0.0232 memory: 17350 grad_norm: 8.6287 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9895 loss: 0.9895 2022/07/24 12:39:30 - mmengine - INFO - Epoch(train) [80][3040/3757] lr: 1.0000e-03 eta: 14:03:30 time: 0.7384 data_time: 0.0220 memory: 17350 grad_norm: 8.8294 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0751 loss: 1.0751 2022/07/24 12:39:42 - mmengine - INFO - Epoch(train) [80][3060/3757] lr: 1.0000e-03 eta: 14:03:16 time: 0.6022 data_time: 0.0223 memory: 17350 grad_norm: 8.1571 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9275 loss: 0.9275 2022/07/24 12:39:56 - mmengine - INFO - Epoch(train) [80][3080/3757] lr: 1.0000e-03 eta: 14:03:03 time: 0.6831 data_time: 0.0232 memory: 17350 grad_norm: 8.4572 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9451 loss: 0.9451 2022/07/24 12:40:08 - mmengine - INFO - Epoch(train) [80][3100/3757] lr: 1.0000e-03 eta: 14:02:49 time: 0.6161 data_time: 0.0257 memory: 17350 grad_norm: 8.5152 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0824 loss: 1.0824 2022/07/24 12:40:24 - mmengine - INFO - Epoch(train) [80][3120/3757] lr: 1.0000e-03 eta: 14:02:37 time: 0.7824 data_time: 0.0218 memory: 17350 grad_norm: 8.5568 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2117 loss: 1.2117 2022/07/24 12:40:35 - mmengine - INFO - Epoch(train) [80][3140/3757] lr: 1.0000e-03 eta: 14:02:23 time: 0.5708 data_time: 0.0231 memory: 17350 grad_norm: 8.8229 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1118 loss: 1.1118 2022/07/24 12:40:49 - mmengine - INFO - Epoch(train) [80][3160/3757] lr: 1.0000e-03 eta: 14:02:10 time: 0.6861 data_time: 0.0205 memory: 17350 grad_norm: 8.8357 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0665 loss: 1.0665 2022/07/24 12:41:01 - mmengine - INFO - Epoch(train) [80][3180/3757] lr: 1.0000e-03 eta: 14:01:56 time: 0.6080 data_time: 0.0223 memory: 17350 grad_norm: 8.7765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9817 loss: 0.9817 2022/07/24 12:41:12 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 12:41:16 - mmengine - INFO - Epoch(train) [80][3200/3757] lr: 1.0000e-03 eta: 14:01:43 time: 0.7273 data_time: 0.0230 memory: 17350 grad_norm: 8.6740 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9739 loss: 0.9739 2022/07/24 12:41:27 - mmengine - INFO - Epoch(train) [80][3220/3757] lr: 1.0000e-03 eta: 14:01:29 time: 0.5818 data_time: 0.0231 memory: 17350 grad_norm: 8.6272 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2292 loss: 1.2292 2022/07/24 12:41:42 - mmengine - INFO - Epoch(train) [80][3240/3757] lr: 1.0000e-03 eta: 14:01:16 time: 0.7450 data_time: 0.0219 memory: 17350 grad_norm: 8.3661 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0316 loss: 1.0316 2022/07/24 12:41:55 - mmengine - INFO - Epoch(train) [80][3260/3757] lr: 1.0000e-03 eta: 14:01:03 time: 0.6213 data_time: 0.0240 memory: 17350 grad_norm: 8.3913 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1094 loss: 1.1094 2022/07/24 12:42:08 - mmengine - INFO - Epoch(train) [80][3280/3757] lr: 1.0000e-03 eta: 14:00:49 time: 0.6840 data_time: 0.0238 memory: 17350 grad_norm: 8.3853 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9975 loss: 0.9975 2022/07/24 12:42:21 - mmengine - INFO - Epoch(train) [80][3300/3757] lr: 1.0000e-03 eta: 14:00:36 time: 0.6185 data_time: 0.0223 memory: 17350 grad_norm: 8.8559 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8752 loss: 0.8752 2022/07/24 12:42:35 - mmengine - INFO - Epoch(train) [80][3320/3757] lr: 1.0000e-03 eta: 14:00:23 time: 0.7173 data_time: 0.0220 memory: 17350 grad_norm: 8.5118 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0120 loss: 1.0120 2022/07/24 12:42:47 - mmengine - INFO - Epoch(train) [80][3340/3757] lr: 1.0000e-03 eta: 14:00:09 time: 0.6070 data_time: 0.0235 memory: 17350 grad_norm: 8.6967 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9960 loss: 0.9960 2022/07/24 12:43:01 - mmengine - INFO - Epoch(train) [80][3360/3757] lr: 1.0000e-03 eta: 13:59:56 time: 0.6815 data_time: 0.0213 memory: 17350 grad_norm: 8.4169 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7935 loss: 0.7935 2022/07/24 12:43:14 - mmengine - INFO - Epoch(train) [80][3380/3757] lr: 1.0000e-03 eta: 13:59:42 time: 0.6692 data_time: 0.0248 memory: 17350 grad_norm: 8.4091 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8591 loss: 0.8591 2022/07/24 12:43:27 - mmengine - INFO - Epoch(train) [80][3400/3757] lr: 1.0000e-03 eta: 13:59:29 time: 0.6501 data_time: 0.0224 memory: 17350 grad_norm: 8.7940 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0612 loss: 1.0612 2022/07/24 12:43:41 - mmengine - INFO - Epoch(train) [80][3420/3757] lr: 1.0000e-03 eta: 13:59:16 time: 0.6704 data_time: 0.0209 memory: 17350 grad_norm: 8.7625 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0144 loss: 1.0144 2022/07/24 12:43:54 - mmengine - INFO - Epoch(train) [80][3440/3757] lr: 1.0000e-03 eta: 13:59:02 time: 0.6403 data_time: 0.0236 memory: 17350 grad_norm: 8.6014 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0402 loss: 1.0402 2022/07/24 12:44:07 - mmengine - INFO - Epoch(train) [80][3460/3757] lr: 1.0000e-03 eta: 13:58:49 time: 0.6828 data_time: 0.0236 memory: 17350 grad_norm: 8.7749 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2174 loss: 1.2174 2022/07/24 12:44:20 - mmengine - INFO - Epoch(train) [80][3480/3757] lr: 1.0000e-03 eta: 13:58:36 time: 0.6554 data_time: 0.0216 memory: 17350 grad_norm: 8.5100 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0906 loss: 1.0906 2022/07/24 12:44:35 - mmengine - INFO - Epoch(train) [80][3500/3757] lr: 1.0000e-03 eta: 13:58:23 time: 0.7451 data_time: 0.0217 memory: 17350 grad_norm: 8.7257 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0264 loss: 1.0264 2022/07/24 12:44:47 - mmengine - INFO - Epoch(train) [80][3520/3757] lr: 1.0000e-03 eta: 13:58:09 time: 0.5945 data_time: 0.0238 memory: 17350 grad_norm: 9.0658 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1370 loss: 1.1370 2022/07/24 12:45:01 - mmengine - INFO - Epoch(train) [80][3540/3757] lr: 1.0000e-03 eta: 13:57:56 time: 0.7023 data_time: 0.0217 memory: 17350 grad_norm: 8.8725 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1439 loss: 1.1439 2022/07/24 12:45:15 - mmengine - INFO - Epoch(train) [80][3560/3757] lr: 1.0000e-03 eta: 13:57:42 time: 0.6723 data_time: 0.0264 memory: 17350 grad_norm: 8.9755 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2250 loss: 1.2250 2022/07/24 12:45:28 - mmengine - INFO - Epoch(train) [80][3580/3757] lr: 1.0000e-03 eta: 13:57:29 time: 0.6468 data_time: 0.0224 memory: 17350 grad_norm: 8.6495 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2405 loss: 1.2405 2022/07/24 12:45:40 - mmengine - INFO - Epoch(train) [80][3600/3757] lr: 1.0000e-03 eta: 13:57:16 time: 0.6407 data_time: 0.0231 memory: 17350 grad_norm: 9.3649 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1519 loss: 1.1519 2022/07/24 12:45:55 - mmengine - INFO - Epoch(train) [80][3620/3757] lr: 1.0000e-03 eta: 13:57:02 time: 0.7159 data_time: 0.0327 memory: 17350 grad_norm: 9.0719 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2538 loss: 1.2538 2022/07/24 12:46:07 - mmengine - INFO - Epoch(train) [80][3640/3757] lr: 1.0000e-03 eta: 13:56:49 time: 0.6252 data_time: 0.0222 memory: 17350 grad_norm: 8.3383 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6915 loss: 0.6915 2022/07/24 12:46:21 - mmengine - INFO - Epoch(train) [80][3660/3757] lr: 1.0000e-03 eta: 13:56:36 time: 0.6972 data_time: 0.0216 memory: 17350 grad_norm: 8.6178 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0186 loss: 1.0186 2022/07/24 12:46:35 - mmengine - INFO - Epoch(train) [80][3680/3757] lr: 1.0000e-03 eta: 13:56:22 time: 0.6779 data_time: 0.0222 memory: 17350 grad_norm: 8.7968 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0198 loss: 1.0198 2022/07/24 12:46:48 - mmengine - INFO - Epoch(train) [80][3700/3757] lr: 1.0000e-03 eta: 13:56:09 time: 0.6529 data_time: 0.0229 memory: 17350 grad_norm: 8.6692 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9466 loss: 0.9466 2022/07/24 12:47:02 - mmengine - INFO - Epoch(train) [80][3720/3757] lr: 1.0000e-03 eta: 13:55:56 time: 0.6915 data_time: 0.0229 memory: 17350 grad_norm: 9.3014 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4063 loss: 1.4063 2022/07/24 12:47:15 - mmengine - INFO - Epoch(train) [80][3740/3757] lr: 1.0000e-03 eta: 13:55:42 time: 0.6427 data_time: 0.0222 memory: 17350 grad_norm: 8.8299 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1172 loss: 1.1172 2022/07/24 12:47:22 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 12:47:22 - mmengine - INFO - Epoch(train) [80][3757/3757] lr: 1.0000e-03 eta: 13:55:42 time: 0.4350 data_time: 0.0222 memory: 17350 grad_norm: 8.5856 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.2148 loss: 1.2148 2022/07/24 12:47:22 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/07/24 12:47:42 - mmengine - INFO - Epoch(val) [80][20/310] eta: 0:04:01 time: 0.8335 data_time: 0.7205 memory: 3406 2022/07/24 12:47:53 - mmengine - INFO - Epoch(val) [80][40/310] eta: 0:02:25 time: 0.5400 data_time: 0.4269 memory: 3406 2022/07/24 12:48:08 - mmengine - INFO - Epoch(val) [80][60/310] eta: 0:03:14 time: 0.7782 data_time: 0.6647 memory: 3406 2022/07/24 12:48:19 - mmengine - INFO - Epoch(val) [80][80/310] eta: 0:02:05 time: 0.5476 data_time: 0.4317 memory: 3406 2022/07/24 12:48:34 - mmengine - INFO - Epoch(val) [80][100/310] eta: 0:02:36 time: 0.7431 data_time: 0.6251 memory: 3406 2022/07/24 12:48:45 - mmengine - INFO - Epoch(val) [80][120/310] eta: 0:01:45 time: 0.5561 data_time: 0.4445 memory: 3406 2022/07/24 12:49:01 - mmengine - INFO - Epoch(val) [80][140/310] eta: 0:02:13 time: 0.7851 data_time: 0.6715 memory: 3406 2022/07/24 12:49:12 - mmengine - INFO - Epoch(val) [80][160/310] eta: 0:01:22 time: 0.5492 data_time: 0.4347 memory: 3406 2022/07/24 12:49:28 - mmengine - INFO - Epoch(val) [80][180/310] eta: 0:01:41 time: 0.7804 data_time: 0.6622 memory: 3406 2022/07/24 12:49:39 - mmengine - INFO - Epoch(val) [80][200/310] eta: 0:00:59 time: 0.5398 data_time: 0.4237 memory: 3406 2022/07/24 12:49:53 - mmengine - INFO - Epoch(val) [80][220/310] eta: 0:01:06 time: 0.7432 data_time: 0.6243 memory: 3406 2022/07/24 12:50:05 - mmengine - INFO - Epoch(val) [80][240/310] eta: 0:00:40 time: 0.5817 data_time: 0.4699 memory: 3406 2022/07/24 12:50:20 - mmengine - INFO - Epoch(val) [80][260/310] eta: 0:00:36 time: 0.7385 data_time: 0.6247 memory: 3406 2022/07/24 12:50:31 - mmengine - INFO - Epoch(val) [80][280/310] eta: 0:00:17 time: 0.5692 data_time: 0.4569 memory: 3406 2022/07/24 12:50:45 - mmengine - INFO - Epoch(val) [80][300/310] eta: 0:00:07 time: 0.7105 data_time: 0.5953 memory: 3406 2022/07/24 12:50:49 - mmengine - INFO - Epoch(val) [80][310/310] acc/top1: 0.6783 acc/top5: 0.8731 acc/mean1: 0.6782 2022/07/24 12:51:07 - mmengine - INFO - Epoch(train) [81][20/3757] lr: 1.0000e-04 eta: 13:55:16 time: 0.8514 data_time: 0.4374 memory: 17350 grad_norm: 8.9924 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0036 loss: 1.0036 2022/07/24 12:51:19 - mmengine - INFO - Epoch(train) [81][40/3757] lr: 1.0000e-04 eta: 13:55:02 time: 0.6312 data_time: 0.1570 memory: 17350 grad_norm: 8.7746 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1674 loss: 1.1674 2022/07/24 12:51:34 - mmengine - INFO - Epoch(train) [81][60/3757] lr: 1.0000e-04 eta: 13:54:49 time: 0.7497 data_time: 0.1522 memory: 17350 grad_norm: 8.5382 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2126 loss: 1.2126 2022/07/24 12:51:47 - mmengine - INFO - Epoch(train) [81][80/3757] lr: 1.0000e-04 eta: 13:54:36 time: 0.6121 data_time: 0.0427 memory: 17350 grad_norm: 9.0527 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0787 loss: 1.0787 2022/07/24 12:52:01 - mmengine - INFO - Epoch(train) [81][100/3757] lr: 1.0000e-04 eta: 13:54:23 time: 0.7226 data_time: 0.0701 memory: 17350 grad_norm: 8.5395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2509 loss: 1.2509 2022/07/24 12:52:14 - mmengine - INFO - Epoch(train) [81][120/3757] lr: 1.0000e-04 eta: 13:54:09 time: 0.6257 data_time: 0.0687 memory: 17350 grad_norm: 8.1054 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9348 loss: 0.9348 2022/07/24 12:52:28 - mmengine - INFO - Epoch(train) [81][140/3757] lr: 1.0000e-04 eta: 13:53:56 time: 0.7251 data_time: 0.0359 memory: 17350 grad_norm: 8.7252 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0641 loss: 1.0641 2022/07/24 12:52:41 - mmengine - INFO - Epoch(train) [81][160/3757] lr: 1.0000e-04 eta: 13:53:42 time: 0.6187 data_time: 0.0349 memory: 17350 grad_norm: 8.5893 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0506 loss: 1.0506 2022/07/24 12:52:56 - mmengine - INFO - Epoch(train) [81][180/3757] lr: 1.0000e-04 eta: 13:53:29 time: 0.7544 data_time: 0.0248 memory: 17350 grad_norm: 8.4739 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9439 loss: 0.9439 2022/07/24 12:53:07 - mmengine - INFO - Epoch(train) [81][200/3757] lr: 1.0000e-04 eta: 13:53:16 time: 0.5652 data_time: 0.0216 memory: 17350 grad_norm: 8.4865 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2495 loss: 1.2495 2022/07/24 12:53:22 - mmengine - INFO - Epoch(train) [81][220/3757] lr: 1.0000e-04 eta: 13:53:03 time: 0.7414 data_time: 0.0508 memory: 17350 grad_norm: 8.3962 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9905 loss: 0.9905 2022/07/24 12:53:34 - mmengine - INFO - Epoch(train) [81][240/3757] lr: 1.0000e-04 eta: 13:52:49 time: 0.6165 data_time: 0.0717 memory: 17350 grad_norm: 8.5489 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1608 loss: 1.1608 2022/07/24 12:53:48 - mmengine - INFO - Epoch(train) [81][260/3757] lr: 1.0000e-04 eta: 13:52:36 time: 0.6954 data_time: 0.1496 memory: 17350 grad_norm: 8.6579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0547 loss: 1.0547 2022/07/24 12:54:00 - mmengine - INFO - Epoch(train) [81][280/3757] lr: 1.0000e-04 eta: 13:52:22 time: 0.5996 data_time: 0.0637 memory: 17350 grad_norm: 8.1089 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1069 loss: 1.1069 2022/07/24 12:54:15 - mmengine - INFO - Epoch(train) [81][300/3757] lr: 1.0000e-04 eta: 13:52:09 time: 0.7403 data_time: 0.0957 memory: 17350 grad_norm: 8.3933 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0220 loss: 1.0220 2022/07/24 12:54:27 - mmengine - INFO - Epoch(train) [81][320/3757] lr: 1.0000e-04 eta: 13:51:55 time: 0.5819 data_time: 0.1053 memory: 17350 grad_norm: 8.6111 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0680 loss: 1.0680 2022/07/24 12:54:41 - mmengine - INFO - Epoch(train) [81][340/3757] lr: 1.0000e-04 eta: 13:51:42 time: 0.7271 data_time: 0.0668 memory: 17350 grad_norm: 8.8558 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1258 loss: 1.1258 2022/07/24 12:54:53 - mmengine - INFO - Epoch(train) [81][360/3757] lr: 1.0000e-04 eta: 13:51:29 time: 0.6035 data_time: 0.0649 memory: 17350 grad_norm: 8.4394 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9842 loss: 0.9842 2022/07/24 12:55:08 - mmengine - INFO - Epoch(train) [81][380/3757] lr: 1.0000e-04 eta: 13:51:16 time: 0.7324 data_time: 0.0765 memory: 17350 grad_norm: 8.4869 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9898 loss: 0.9898 2022/07/24 12:55:20 - mmengine - INFO - Epoch(train) [81][400/3757] lr: 1.0000e-04 eta: 13:51:02 time: 0.6167 data_time: 0.0501 memory: 17350 grad_norm: 8.3951 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8983 loss: 0.8983 2022/07/24 12:55:35 - mmengine - INFO - Epoch(train) [81][420/3757] lr: 1.0000e-04 eta: 13:50:49 time: 0.7246 data_time: 0.1728 memory: 17350 grad_norm: 8.2765 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2547 loss: 1.2547 2022/07/24 12:55:47 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 12:55:47 - mmengine - INFO - Epoch(train) [81][440/3757] lr: 1.0000e-04 eta: 13:50:35 time: 0.6177 data_time: 0.1287 memory: 17350 grad_norm: 8.4890 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0784 loss: 1.0784 2022/07/24 12:56:02 - mmengine - INFO - Epoch(train) [81][460/3757] lr: 1.0000e-04 eta: 13:50:22 time: 0.7492 data_time: 0.1626 memory: 17350 grad_norm: 8.5489 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2025 loss: 1.2025 2022/07/24 12:56:14 - mmengine - INFO - Epoch(train) [81][480/3757] lr: 1.0000e-04 eta: 13:50:09 time: 0.5781 data_time: 0.0640 memory: 17350 grad_norm: 8.0817 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0149 loss: 1.0149 2022/07/24 12:56:28 - mmengine - INFO - Epoch(train) [81][500/3757] lr: 1.0000e-04 eta: 13:49:56 time: 0.7241 data_time: 0.1398 memory: 17350 grad_norm: 8.2568 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9489 loss: 0.9489 2022/07/24 12:56:40 - mmengine - INFO - Epoch(train) [81][520/3757] lr: 1.0000e-04 eta: 13:49:42 time: 0.5735 data_time: 0.0776 memory: 17350 grad_norm: 8.5659 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1318 loss: 1.1318 2022/07/24 12:56:54 - mmengine - INFO - Epoch(train) [81][540/3757] lr: 1.0000e-04 eta: 13:49:29 time: 0.7393 data_time: 0.1446 memory: 17350 grad_norm: 8.3030 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0582 loss: 1.0582 2022/07/24 12:57:07 - mmengine - INFO - Epoch(train) [81][560/3757] lr: 1.0000e-04 eta: 13:49:15 time: 0.6391 data_time: 0.0431 memory: 17350 grad_norm: 8.5213 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1863 loss: 1.1863 2022/07/24 12:57:22 - mmengine - INFO - Epoch(train) [81][580/3757] lr: 1.0000e-04 eta: 13:49:02 time: 0.7367 data_time: 0.0229 memory: 17350 grad_norm: 8.2507 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9747 loss: 0.9747 2022/07/24 12:57:33 - mmengine - INFO - Epoch(train) [81][600/3757] lr: 1.0000e-04 eta: 13:48:48 time: 0.5567 data_time: 0.0225 memory: 17350 grad_norm: 7.7396 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9971 loss: 0.9971 2022/07/24 12:57:47 - mmengine - INFO - Epoch(train) [81][620/3757] lr: 1.0000e-04 eta: 13:48:35 time: 0.7153 data_time: 0.0222 memory: 17350 grad_norm: 8.6544 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4141 loss: 1.4141 2022/07/24 12:57:59 - mmengine - INFO - Epoch(train) [81][640/3757] lr: 1.0000e-04 eta: 13:48:22 time: 0.5981 data_time: 0.0230 memory: 17350 grad_norm: 8.2195 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1755 loss: 1.1755 2022/07/24 12:58:15 - mmengine - INFO - Epoch(train) [81][660/3757] lr: 1.0000e-04 eta: 13:48:09 time: 0.7571 data_time: 0.0332 memory: 17350 grad_norm: 8.3500 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2176 loss: 1.2176 2022/07/24 12:58:26 - mmengine - INFO - Epoch(train) [81][680/3757] lr: 1.0000e-04 eta: 13:47:55 time: 0.5636 data_time: 0.0234 memory: 17350 grad_norm: 8.2945 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1441 loss: 1.1441 2022/07/24 12:58:40 - mmengine - INFO - Epoch(train) [81][700/3757] lr: 1.0000e-04 eta: 13:47:42 time: 0.7092 data_time: 0.0418 memory: 17350 grad_norm: 8.3512 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2070 loss: 1.2070 2022/07/24 12:58:53 - mmengine - INFO - Epoch(train) [81][720/3757] lr: 1.0000e-04 eta: 13:47:28 time: 0.6312 data_time: 0.0225 memory: 17350 grad_norm: 8.5210 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0770 loss: 1.0770 2022/07/24 12:59:08 - mmengine - INFO - Epoch(train) [81][740/3757] lr: 1.0000e-04 eta: 13:47:15 time: 0.7363 data_time: 0.0230 memory: 17350 grad_norm: 8.4468 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9174 loss: 0.9174 2022/07/24 12:59:19 - mmengine - INFO - Epoch(train) [81][760/3757] lr: 1.0000e-04 eta: 13:47:02 time: 0.5904 data_time: 0.0259 memory: 17350 grad_norm: 8.3446 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1406 loss: 1.1406 2022/07/24 12:59:33 - mmengine - INFO - Epoch(train) [81][780/3757] lr: 1.0000e-04 eta: 13:46:48 time: 0.6766 data_time: 0.0266 memory: 17350 grad_norm: 8.6925 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0159 loss: 1.0159 2022/07/24 12:59:46 - mmengine - INFO - Epoch(train) [81][800/3757] lr: 1.0000e-04 eta: 13:46:35 time: 0.6530 data_time: 0.0237 memory: 17350 grad_norm: 8.6179 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9414 loss: 0.9414 2022/07/24 12:59:59 - mmengine - INFO - Epoch(train) [81][820/3757] lr: 1.0000e-04 eta: 13:46:21 time: 0.6360 data_time: 0.0228 memory: 17350 grad_norm: 8.4282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2238 loss: 1.2238 2022/07/24 13:00:12 - mmengine - INFO - Epoch(train) [81][840/3757] lr: 1.0000e-04 eta: 13:46:08 time: 0.6746 data_time: 0.0214 memory: 17350 grad_norm: 8.6580 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0414 loss: 1.0414 2022/07/24 13:00:26 - mmengine - INFO - Epoch(train) [81][860/3757] lr: 1.0000e-04 eta: 13:45:55 time: 0.6817 data_time: 0.0921 memory: 17350 grad_norm: 8.6213 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1890 loss: 1.1890 2022/07/24 13:00:38 - mmengine - INFO - Epoch(train) [81][880/3757] lr: 1.0000e-04 eta: 13:45:41 time: 0.6216 data_time: 0.0572 memory: 17350 grad_norm: 8.2111 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8348 loss: 0.8348 2022/07/24 13:00:53 - mmengine - INFO - Epoch(train) [81][900/3757] lr: 1.0000e-04 eta: 13:45:28 time: 0.7162 data_time: 0.0557 memory: 17350 grad_norm: 8.5242 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9473 loss: 0.9473 2022/07/24 13:01:06 - mmengine - INFO - Epoch(train) [81][920/3757] lr: 1.0000e-04 eta: 13:45:15 time: 0.6644 data_time: 0.0220 memory: 17350 grad_norm: 8.5458 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8782 loss: 0.8782 2022/07/24 13:01:19 - mmengine - INFO - Epoch(train) [81][940/3757] lr: 1.0000e-04 eta: 13:45:01 time: 0.6493 data_time: 0.0257 memory: 17350 grad_norm: 8.6292 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0949 loss: 1.0949 2022/07/24 13:01:32 - mmengine - INFO - Epoch(train) [81][960/3757] lr: 1.0000e-04 eta: 13:44:48 time: 0.6669 data_time: 0.0207 memory: 17350 grad_norm: 8.2007 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0436 loss: 1.0436 2022/07/24 13:01:45 - mmengine - INFO - Epoch(train) [81][980/3757] lr: 1.0000e-04 eta: 13:44:35 time: 0.6575 data_time: 0.0236 memory: 17350 grad_norm: 8.5865 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2900 loss: 1.2900 2022/07/24 13:02:00 - mmengine - INFO - Epoch(train) [81][1000/3757] lr: 1.0000e-04 eta: 13:44:21 time: 0.7181 data_time: 0.0239 memory: 17350 grad_norm: 8.3637 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0880 loss: 1.0880 2022/07/24 13:02:13 - mmengine - INFO - Epoch(train) [81][1020/3757] lr: 1.0000e-04 eta: 13:44:08 time: 0.6400 data_time: 0.0213 memory: 17350 grad_norm: 8.3776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0312 loss: 1.0312 2022/07/24 13:02:25 - mmengine - INFO - Epoch(train) [81][1040/3757] lr: 1.0000e-04 eta: 13:43:54 time: 0.6142 data_time: 0.0235 memory: 17350 grad_norm: 8.1619 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0731 loss: 1.0731 2022/07/24 13:02:39 - mmengine - INFO - Epoch(train) [81][1060/3757] lr: 1.0000e-04 eta: 13:43:41 time: 0.7210 data_time: 0.0521 memory: 17350 grad_norm: 8.5557 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0034 loss: 1.0034 2022/07/24 13:02:51 - mmengine - INFO - Epoch(train) [81][1080/3757] lr: 1.0000e-04 eta: 13:43:28 time: 0.5818 data_time: 0.0968 memory: 17350 grad_norm: 8.1376 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9683 loss: 0.9683 2022/07/24 13:03:06 - mmengine - INFO - Epoch(train) [81][1100/3757] lr: 1.0000e-04 eta: 13:43:15 time: 0.7385 data_time: 0.1654 memory: 17350 grad_norm: 8.4349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9773 loss: 0.9773 2022/07/24 13:03:18 - mmengine - INFO - Epoch(train) [81][1120/3757] lr: 1.0000e-04 eta: 13:43:01 time: 0.6044 data_time: 0.0240 memory: 17350 grad_norm: 8.4907 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0533 loss: 1.0533 2022/07/24 13:03:32 - mmengine - INFO - Epoch(train) [81][1140/3757] lr: 1.0000e-04 eta: 13:42:48 time: 0.7200 data_time: 0.0211 memory: 17350 grad_norm: 8.3406 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9434 loss: 0.9434 2022/07/24 13:03:45 - mmengine - INFO - Epoch(train) [81][1160/3757] lr: 1.0000e-04 eta: 13:42:34 time: 0.6300 data_time: 0.0239 memory: 17350 grad_norm: 8.5608 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1054 loss: 1.1054 2022/07/24 13:03:58 - mmengine - INFO - Epoch(train) [81][1180/3757] lr: 1.0000e-04 eta: 13:42:21 time: 0.6639 data_time: 0.0251 memory: 17350 grad_norm: 8.4555 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1311 loss: 1.1311 2022/07/24 13:04:11 - mmengine - INFO - Epoch(train) [81][1200/3757] lr: 1.0000e-04 eta: 13:42:08 time: 0.6437 data_time: 0.0297 memory: 17350 grad_norm: 8.2059 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9831 loss: 0.9831 2022/07/24 13:04:26 - mmengine - INFO - Epoch(train) [81][1220/3757] lr: 1.0000e-04 eta: 13:41:54 time: 0.7195 data_time: 0.0710 memory: 17350 grad_norm: 8.2788 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0764 loss: 1.0764 2022/07/24 13:04:38 - mmengine - INFO - Epoch(train) [81][1240/3757] lr: 1.0000e-04 eta: 13:41:41 time: 0.6035 data_time: 0.0279 memory: 17350 grad_norm: 8.0223 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9437 loss: 0.9437 2022/07/24 13:04:52 - mmengine - INFO - Epoch(train) [81][1260/3757] lr: 1.0000e-04 eta: 13:41:28 time: 0.6952 data_time: 0.0212 memory: 17350 grad_norm: 8.5951 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9975 loss: 0.9975 2022/07/24 13:05:05 - mmengine - INFO - Epoch(train) [81][1280/3757] lr: 1.0000e-04 eta: 13:41:14 time: 0.6813 data_time: 0.0226 memory: 17350 grad_norm: 8.3349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1636 loss: 1.1636 2022/07/24 13:05:19 - mmengine - INFO - Epoch(train) [81][1300/3757] lr: 1.0000e-04 eta: 13:41:01 time: 0.6649 data_time: 0.0273 memory: 17350 grad_norm: 8.4880 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0926 loss: 1.0926 2022/07/24 13:05:31 - mmengine - INFO - Epoch(train) [81][1320/3757] lr: 1.0000e-04 eta: 13:40:47 time: 0.6289 data_time: 0.0215 memory: 17350 grad_norm: 8.1642 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9057 loss: 0.9057 2022/07/24 13:05:45 - mmengine - INFO - Epoch(train) [81][1340/3757] lr: 1.0000e-04 eta: 13:40:34 time: 0.6855 data_time: 0.0254 memory: 17350 grad_norm: 8.6060 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1725 loss: 1.1725 2022/07/24 13:05:58 - mmengine - INFO - Epoch(train) [81][1360/3757] lr: 1.0000e-04 eta: 13:40:21 time: 0.6773 data_time: 0.0158 memory: 17350 grad_norm: 8.5267 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9287 loss: 0.9287 2022/07/24 13:06:12 - mmengine - INFO - Epoch(train) [81][1380/3757] lr: 1.0000e-04 eta: 13:40:07 time: 0.6564 data_time: 0.0219 memory: 17350 grad_norm: 8.4545 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0985 loss: 1.0985 2022/07/24 13:06:24 - mmengine - INFO - Epoch(train) [81][1400/3757] lr: 1.0000e-04 eta: 13:39:54 time: 0.6372 data_time: 0.0484 memory: 17350 grad_norm: 8.6017 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0333 loss: 1.0333 2022/07/24 13:06:38 - mmengine - INFO - Epoch(train) [81][1420/3757] lr: 1.0000e-04 eta: 13:39:41 time: 0.6737 data_time: 0.0868 memory: 17350 grad_norm: 8.5668 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9528 loss: 0.9528 2022/07/24 13:06:51 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 13:06:51 - mmengine - INFO - Epoch(train) [81][1440/3757] lr: 1.0000e-04 eta: 13:39:27 time: 0.6559 data_time: 0.0973 memory: 17350 grad_norm: 8.4782 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7960 loss: 0.7960 2022/07/24 13:07:06 - mmengine - INFO - Epoch(train) [81][1460/3757] lr: 1.0000e-04 eta: 13:39:14 time: 0.7348 data_time: 0.0213 memory: 17350 grad_norm: 8.3277 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1241 loss: 1.1241 2022/07/24 13:07:18 - mmengine - INFO - Epoch(train) [81][1480/3757] lr: 1.0000e-04 eta: 13:39:01 time: 0.6019 data_time: 0.0240 memory: 17350 grad_norm: 8.1476 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1198 loss: 1.1198 2022/07/24 13:07:33 - mmengine - INFO - Epoch(train) [81][1500/3757] lr: 1.0000e-04 eta: 13:38:48 time: 0.7384 data_time: 0.0219 memory: 17350 grad_norm: 8.7448 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8092 loss: 0.8092 2022/07/24 13:07:46 - mmengine - INFO - Epoch(train) [81][1520/3757] lr: 1.0000e-04 eta: 13:38:34 time: 0.6706 data_time: 0.0221 memory: 17350 grad_norm: 8.3957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8804 loss: 0.8804 2022/07/24 13:08:00 - mmengine - INFO - Epoch(train) [81][1540/3757] lr: 1.0000e-04 eta: 13:38:21 time: 0.7051 data_time: 0.0247 memory: 17350 grad_norm: 8.5409 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2009 loss: 1.2009 2022/07/24 13:08:12 - mmengine - INFO - Epoch(train) [81][1560/3757] lr: 1.0000e-04 eta: 13:38:07 time: 0.5997 data_time: 0.0237 memory: 17350 grad_norm: 8.5779 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9624 loss: 0.9624 2022/07/24 13:08:27 - mmengine - INFO - Epoch(train) [81][1580/3757] lr: 1.0000e-04 eta: 13:37:54 time: 0.7461 data_time: 0.0233 memory: 17350 grad_norm: 8.3143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9966 loss: 0.9966 2022/07/24 13:08:39 - mmengine - INFO - Epoch(train) [81][1600/3757] lr: 1.0000e-04 eta: 13:37:41 time: 0.5954 data_time: 0.0237 memory: 17350 grad_norm: 8.2144 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1417 loss: 1.1417 2022/07/24 13:08:53 - mmengine - INFO - Epoch(train) [81][1620/3757] lr: 1.0000e-04 eta: 13:37:28 time: 0.7046 data_time: 0.0219 memory: 17350 grad_norm: 8.3820 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0233 loss: 1.0233 2022/07/24 13:09:06 - mmengine - INFO - Epoch(train) [81][1640/3757] lr: 1.0000e-04 eta: 13:37:14 time: 0.6278 data_time: 0.0235 memory: 17350 grad_norm: 8.4630 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0378 loss: 1.0378 2022/07/24 13:09:20 - mmengine - INFO - Epoch(train) [81][1660/3757] lr: 1.0000e-04 eta: 13:37:01 time: 0.7186 data_time: 0.0240 memory: 17350 grad_norm: 8.3079 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2458 loss: 1.2458 2022/07/24 13:09:32 - mmengine - INFO - Epoch(train) [81][1680/3757] lr: 1.0000e-04 eta: 13:36:47 time: 0.5718 data_time: 0.0221 memory: 17350 grad_norm: 8.5554 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0664 loss: 1.0664 2022/07/24 13:09:47 - mmengine - INFO - Epoch(train) [81][1700/3757] lr: 1.0000e-04 eta: 13:36:34 time: 0.7618 data_time: 0.0218 memory: 17350 grad_norm: 8.4397 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9458 loss: 0.9458 2022/07/24 13:09:58 - mmengine - INFO - Epoch(train) [81][1720/3757] lr: 1.0000e-04 eta: 13:36:21 time: 0.5842 data_time: 0.0268 memory: 17350 grad_norm: 8.3766 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9381 loss: 0.9381 2022/07/24 13:10:13 - mmengine - INFO - Epoch(train) [81][1740/3757] lr: 1.0000e-04 eta: 13:36:08 time: 0.7328 data_time: 0.0248 memory: 17350 grad_norm: 8.5677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1398 loss: 1.1398 2022/07/24 13:10:25 - mmengine - INFO - Epoch(train) [81][1760/3757] lr: 1.0000e-04 eta: 13:35:54 time: 0.6056 data_time: 0.0238 memory: 17350 grad_norm: 8.7630 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9695 loss: 0.9695 2022/07/24 13:10:40 - mmengine - INFO - Epoch(train) [81][1780/3757] lr: 1.0000e-04 eta: 13:35:41 time: 0.7251 data_time: 0.0225 memory: 17350 grad_norm: 8.4730 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0674 loss: 1.0674 2022/07/24 13:10:51 - mmengine - INFO - Epoch(train) [81][1800/3757] lr: 1.0000e-04 eta: 13:35:27 time: 0.5783 data_time: 0.0233 memory: 17350 grad_norm: 8.4020 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0820 loss: 1.0820 2022/07/24 13:11:05 - mmengine - INFO - Epoch(train) [81][1820/3757] lr: 1.0000e-04 eta: 13:35:14 time: 0.6850 data_time: 0.0231 memory: 17350 grad_norm: 8.6236 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2123 loss: 1.2123 2022/07/24 13:11:17 - mmengine - INFO - Epoch(train) [81][1840/3757] lr: 1.0000e-04 eta: 13:35:00 time: 0.6161 data_time: 0.0243 memory: 17350 grad_norm: 8.7060 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9420 loss: 0.9420 2022/07/24 13:11:32 - mmengine - INFO - Epoch(train) [81][1860/3757] lr: 1.0000e-04 eta: 13:34:47 time: 0.7328 data_time: 0.0235 memory: 17350 grad_norm: 8.5578 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0106 loss: 1.0106 2022/07/24 13:11:45 - mmengine - INFO - Epoch(train) [81][1880/3757] lr: 1.0000e-04 eta: 13:34:34 time: 0.6377 data_time: 0.0220 memory: 17350 grad_norm: 8.5901 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1289 loss: 1.1289 2022/07/24 13:11:59 - mmengine - INFO - Epoch(train) [81][1900/3757] lr: 1.0000e-04 eta: 13:34:21 time: 0.7052 data_time: 0.0245 memory: 17350 grad_norm: 8.7159 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9956 loss: 0.9956 2022/07/24 13:12:11 - mmengine - INFO - Epoch(train) [81][1920/3757] lr: 1.0000e-04 eta: 13:34:07 time: 0.5957 data_time: 0.0227 memory: 17350 grad_norm: 8.3681 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9477 loss: 0.9477 2022/07/24 13:12:27 - mmengine - INFO - Epoch(train) [81][1940/3757] lr: 1.0000e-04 eta: 13:33:54 time: 0.7787 data_time: 0.0228 memory: 17350 grad_norm: 8.5276 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2014 loss: 1.2014 2022/07/24 13:12:38 - mmengine - INFO - Epoch(train) [81][1960/3757] lr: 1.0000e-04 eta: 13:33:40 time: 0.5841 data_time: 0.0236 memory: 17350 grad_norm: 8.8089 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1730 loss: 1.1730 2022/07/24 13:12:52 - mmengine - INFO - Epoch(train) [81][1980/3757] lr: 1.0000e-04 eta: 13:33:27 time: 0.6800 data_time: 0.0328 memory: 17350 grad_norm: 8.4995 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7621 loss: 0.7621 2022/07/24 13:13:04 - mmengine - INFO - Epoch(train) [81][2000/3757] lr: 1.0000e-04 eta: 13:33:13 time: 0.5914 data_time: 0.0226 memory: 17350 grad_norm: 8.0989 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2036 loss: 1.2036 2022/07/24 13:13:19 - mmengine - INFO - Epoch(train) [81][2020/3757] lr: 1.0000e-04 eta: 13:33:00 time: 0.7456 data_time: 0.0237 memory: 17350 grad_norm: 8.2506 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8056 loss: 0.8056 2022/07/24 13:13:31 - mmengine - INFO - Epoch(train) [81][2040/3757] lr: 1.0000e-04 eta: 13:32:47 time: 0.6022 data_time: 0.0340 memory: 17350 grad_norm: 8.0995 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9143 loss: 0.9143 2022/07/24 13:13:46 - mmengine - INFO - Epoch(train) [81][2060/3757] lr: 1.0000e-04 eta: 13:32:34 time: 0.7450 data_time: 0.0230 memory: 17350 grad_norm: 8.3224 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9555 loss: 0.9555 2022/07/24 13:13:57 - mmengine - INFO - Epoch(train) [81][2080/3757] lr: 1.0000e-04 eta: 13:32:20 time: 0.5499 data_time: 0.0253 memory: 17350 grad_norm: 8.3564 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0027 loss: 1.0027 2022/07/24 13:14:12 - mmengine - INFO - Epoch(train) [81][2100/3757] lr: 1.0000e-04 eta: 13:32:07 time: 0.7670 data_time: 0.0220 memory: 17350 grad_norm: 8.7187 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9546 loss: 0.9546 2022/07/24 13:14:25 - mmengine - INFO - Epoch(train) [81][2120/3757] lr: 1.0000e-04 eta: 13:31:53 time: 0.6324 data_time: 0.0234 memory: 17350 grad_norm: 8.3981 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0382 loss: 1.0382 2022/07/24 13:14:38 - mmengine - INFO - Epoch(train) [81][2140/3757] lr: 1.0000e-04 eta: 13:31:40 time: 0.6833 data_time: 0.0221 memory: 17350 grad_norm: 8.5179 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1916 loss: 1.1916 2022/07/24 13:14:50 - mmengine - INFO - Epoch(train) [81][2160/3757] lr: 1.0000e-04 eta: 13:31:27 time: 0.5960 data_time: 0.0270 memory: 17350 grad_norm: 8.8391 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8853 loss: 0.8853 2022/07/24 13:15:05 - mmengine - INFO - Epoch(train) [81][2180/3757] lr: 1.0000e-04 eta: 13:31:14 time: 0.7381 data_time: 0.0214 memory: 17350 grad_norm: 8.9174 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0731 loss: 1.0731 2022/07/24 13:15:17 - mmengine - INFO - Epoch(train) [81][2200/3757] lr: 1.0000e-04 eta: 13:31:00 time: 0.6103 data_time: 0.0255 memory: 17350 grad_norm: 8.4705 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1080 loss: 1.1080 2022/07/24 13:15:31 - mmengine - INFO - Epoch(train) [81][2220/3757] lr: 1.0000e-04 eta: 13:30:47 time: 0.7037 data_time: 0.0221 memory: 17350 grad_norm: 8.4839 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1827 loss: 1.1827 2022/07/24 13:15:44 - mmengine - INFO - Epoch(train) [81][2240/3757] lr: 1.0000e-04 eta: 13:30:33 time: 0.6407 data_time: 0.0235 memory: 17350 grad_norm: 8.1163 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0242 loss: 1.0242 2022/07/24 13:15:58 - mmengine - INFO - Epoch(train) [81][2260/3757] lr: 1.0000e-04 eta: 13:30:20 time: 0.6709 data_time: 0.0224 memory: 17350 grad_norm: 8.3190 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0264 loss: 1.0264 2022/07/24 13:16:09 - mmengine - INFO - Epoch(train) [81][2280/3757] lr: 1.0000e-04 eta: 13:30:06 time: 0.5872 data_time: 0.0216 memory: 17350 grad_norm: 8.5653 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9553 loss: 0.9553 2022/07/24 13:16:24 - mmengine - INFO - Epoch(train) [81][2300/3757] lr: 1.0000e-04 eta: 13:29:53 time: 0.7110 data_time: 0.0226 memory: 17350 grad_norm: 8.5623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9527 loss: 0.9527 2022/07/24 13:16:36 - mmengine - INFO - Epoch(train) [81][2320/3757] lr: 1.0000e-04 eta: 13:29:39 time: 0.5986 data_time: 0.0224 memory: 17350 grad_norm: 8.4371 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8558 loss: 0.8558 2022/07/24 13:16:50 - mmengine - INFO - Epoch(train) [81][2340/3757] lr: 1.0000e-04 eta: 13:29:26 time: 0.7280 data_time: 0.0231 memory: 17350 grad_norm: 8.4019 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1137 loss: 1.1137 2022/07/24 13:17:02 - mmengine - INFO - Epoch(train) [81][2360/3757] lr: 1.0000e-04 eta: 13:29:13 time: 0.6092 data_time: 0.0218 memory: 17350 grad_norm: 8.3677 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1793 loss: 1.1793 2022/07/24 13:17:16 - mmengine - INFO - Epoch(train) [81][2380/3757] lr: 1.0000e-04 eta: 13:28:59 time: 0.6862 data_time: 0.0231 memory: 17350 grad_norm: 8.7208 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8649 loss: 0.8649 2022/07/24 13:17:30 - mmengine - INFO - Epoch(train) [81][2400/3757] lr: 1.0000e-04 eta: 13:28:46 time: 0.6880 data_time: 0.0237 memory: 17350 grad_norm: 8.4726 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9588 loss: 0.9588 2022/07/24 13:17:43 - mmengine - INFO - Epoch(train) [81][2420/3757] lr: 1.0000e-04 eta: 13:28:33 time: 0.6713 data_time: 0.0219 memory: 17350 grad_norm: 8.5913 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1052 loss: 1.1052 2022/07/24 13:17:57 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 13:17:57 - mmengine - INFO - Epoch(train) [81][2440/3757] lr: 1.0000e-04 eta: 13:28:20 time: 0.6764 data_time: 0.0229 memory: 17350 grad_norm: 8.3128 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0855 loss: 1.0855 2022/07/24 13:18:10 - mmengine - INFO - Epoch(train) [81][2460/3757] lr: 1.0000e-04 eta: 13:28:06 time: 0.6496 data_time: 0.0227 memory: 17350 grad_norm: 8.4999 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0343 loss: 1.0343 2022/07/24 13:18:23 - mmengine - INFO - Epoch(train) [81][2480/3757] lr: 1.0000e-04 eta: 13:27:53 time: 0.6746 data_time: 0.0214 memory: 17350 grad_norm: 8.5671 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9682 loss: 0.9682 2022/07/24 13:18:37 - mmengine - INFO - Epoch(train) [81][2500/3757] lr: 1.0000e-04 eta: 13:27:40 time: 0.6920 data_time: 0.0231 memory: 17350 grad_norm: 8.5422 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0388 loss: 1.0388 2022/07/24 13:18:49 - mmengine - INFO - Epoch(train) [81][2520/3757] lr: 1.0000e-04 eta: 13:27:26 time: 0.6050 data_time: 0.0215 memory: 17350 grad_norm: 8.5873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0656 loss: 1.0656 2022/07/24 13:19:04 - mmengine - INFO - Epoch(train) [81][2540/3757] lr: 1.0000e-04 eta: 13:27:13 time: 0.7259 data_time: 0.0234 memory: 17350 grad_norm: 8.4385 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9831 loss: 0.9831 2022/07/24 13:19:17 - mmengine - INFO - Epoch(train) [81][2560/3757] lr: 1.0000e-04 eta: 13:26:59 time: 0.6370 data_time: 0.0256 memory: 17350 grad_norm: 8.7485 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9875 loss: 0.9875 2022/07/24 13:19:30 - mmengine - INFO - Epoch(train) [81][2580/3757] lr: 1.0000e-04 eta: 13:26:46 time: 0.6831 data_time: 0.0223 memory: 17350 grad_norm: 8.4588 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3355 loss: 1.3355 2022/07/24 13:19:43 - mmengine - INFO - Epoch(train) [81][2600/3757] lr: 1.0000e-04 eta: 13:26:33 time: 0.6353 data_time: 0.0252 memory: 17350 grad_norm: 8.4009 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9447 loss: 0.9447 2022/07/24 13:19:58 - mmengine - INFO - Epoch(train) [81][2620/3757] lr: 1.0000e-04 eta: 13:26:20 time: 0.7391 data_time: 0.0251 memory: 17350 grad_norm: 8.1115 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2780 loss: 1.2780 2022/07/24 13:20:10 - mmengine - INFO - Epoch(train) [81][2640/3757] lr: 1.0000e-04 eta: 13:26:06 time: 0.6276 data_time: 0.0242 memory: 17350 grad_norm: 8.5211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9250 loss: 0.9250 2022/07/24 13:20:25 - mmengine - INFO - Epoch(train) [81][2660/3757] lr: 1.0000e-04 eta: 13:25:53 time: 0.7012 data_time: 0.0229 memory: 17350 grad_norm: 8.5228 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9444 loss: 0.9444 2022/07/24 13:20:37 - mmengine - INFO - Epoch(train) [81][2680/3757] lr: 1.0000e-04 eta: 13:25:39 time: 0.6146 data_time: 0.0252 memory: 17350 grad_norm: 8.2848 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9064 loss: 0.9064 2022/07/24 13:20:51 - mmengine - INFO - Epoch(train) [81][2700/3757] lr: 1.0000e-04 eta: 13:25:26 time: 0.7233 data_time: 0.0221 memory: 17350 grad_norm: 8.1218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9788 loss: 0.9788 2022/07/24 13:21:04 - mmengine - INFO - Epoch(train) [81][2720/3757] lr: 1.0000e-04 eta: 13:25:13 time: 0.6138 data_time: 0.0235 memory: 17350 grad_norm: 8.4823 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1940 loss: 1.1940 2022/07/24 13:21:19 - mmengine - INFO - Epoch(train) [81][2740/3757] lr: 1.0000e-04 eta: 13:25:00 time: 0.7551 data_time: 0.0211 memory: 17350 grad_norm: 8.5287 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9391 loss: 0.9391 2022/07/24 13:21:31 - mmengine - INFO - Epoch(train) [81][2760/3757] lr: 1.0000e-04 eta: 13:24:46 time: 0.6212 data_time: 0.0248 memory: 17350 grad_norm: 8.4984 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9889 loss: 0.9889 2022/07/24 13:21:45 - mmengine - INFO - Epoch(train) [81][2780/3757] lr: 1.0000e-04 eta: 13:24:33 time: 0.6850 data_time: 0.0215 memory: 17350 grad_norm: 8.2514 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9717 loss: 0.9717 2022/07/24 13:21:57 - mmengine - INFO - Epoch(train) [81][2800/3757] lr: 1.0000e-04 eta: 13:24:19 time: 0.5916 data_time: 0.0290 memory: 17350 grad_norm: 8.5608 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2806 loss: 1.2806 2022/07/24 13:22:11 - mmengine - INFO - Epoch(train) [81][2820/3757] lr: 1.0000e-04 eta: 13:24:06 time: 0.6883 data_time: 0.0225 memory: 17350 grad_norm: 8.3701 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0098 loss: 1.0098 2022/07/24 13:22:22 - mmengine - INFO - Epoch(train) [81][2840/3757] lr: 1.0000e-04 eta: 13:23:52 time: 0.5868 data_time: 0.0241 memory: 17350 grad_norm: 8.6881 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0660 loss: 1.0660 2022/07/24 13:22:37 - mmengine - INFO - Epoch(train) [81][2860/3757] lr: 1.0000e-04 eta: 13:23:39 time: 0.7263 data_time: 0.0236 memory: 17350 grad_norm: 8.1220 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0082 loss: 1.0082 2022/07/24 13:22:49 - mmengine - INFO - Epoch(train) [81][2880/3757] lr: 1.0000e-04 eta: 13:23:26 time: 0.5912 data_time: 0.0229 memory: 17350 grad_norm: 8.3832 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1690 loss: 1.1690 2022/07/24 13:23:03 - mmengine - INFO - Epoch(train) [81][2900/3757] lr: 1.0000e-04 eta: 13:23:13 time: 0.7319 data_time: 0.0207 memory: 17350 grad_norm: 8.0710 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7542 loss: 0.7542 2022/07/24 13:23:15 - mmengine - INFO - Epoch(train) [81][2920/3757] lr: 1.0000e-04 eta: 13:22:59 time: 0.5965 data_time: 0.0233 memory: 17350 grad_norm: 8.7356 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1908 loss: 1.1908 2022/07/24 13:23:30 - mmengine - INFO - Epoch(train) [81][2940/3757] lr: 1.0000e-04 eta: 13:22:46 time: 0.7383 data_time: 0.0222 memory: 17350 grad_norm: 8.5630 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1266 loss: 1.1266 2022/07/24 13:23:43 - mmengine - INFO - Epoch(train) [81][2960/3757] lr: 1.0000e-04 eta: 13:22:32 time: 0.6319 data_time: 0.0233 memory: 17350 grad_norm: 8.7103 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0795 loss: 1.0795 2022/07/24 13:23:57 - mmengine - INFO - Epoch(train) [81][2980/3757] lr: 1.0000e-04 eta: 13:22:19 time: 0.7129 data_time: 0.0227 memory: 17350 grad_norm: 8.5267 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1379 loss: 1.1379 2022/07/24 13:24:09 - mmengine - INFO - Epoch(train) [81][3000/3757] lr: 1.0000e-04 eta: 13:22:05 time: 0.5843 data_time: 0.0257 memory: 17350 grad_norm: 8.5495 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2346 loss: 1.2346 2022/07/24 13:24:23 - mmengine - INFO - Epoch(train) [81][3020/3757] lr: 1.0000e-04 eta: 13:21:52 time: 0.7090 data_time: 0.0240 memory: 17350 grad_norm: 8.6412 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0377 loss: 1.0377 2022/07/24 13:24:35 - mmengine - INFO - Epoch(train) [81][3040/3757] lr: 1.0000e-04 eta: 13:21:39 time: 0.6258 data_time: 0.0233 memory: 17350 grad_norm: 8.3134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2209 loss: 1.2209 2022/07/24 13:24:49 - mmengine - INFO - Epoch(train) [81][3060/3757] lr: 1.0000e-04 eta: 13:21:26 time: 0.6941 data_time: 0.0245 memory: 17350 grad_norm: 8.7037 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8065 loss: 0.8065 2022/07/24 13:25:02 - mmengine - INFO - Epoch(train) [81][3080/3757] lr: 1.0000e-04 eta: 13:21:12 time: 0.6145 data_time: 0.0215 memory: 17350 grad_norm: 8.4937 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0482 loss: 1.0482 2022/07/24 13:25:17 - mmengine - INFO - Epoch(train) [81][3100/3757] lr: 1.0000e-04 eta: 13:20:59 time: 0.7644 data_time: 0.0290 memory: 17350 grad_norm: 8.2880 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1834 loss: 1.1834 2022/07/24 13:25:29 - mmengine - INFO - Epoch(train) [81][3120/3757] lr: 1.0000e-04 eta: 13:20:45 time: 0.6002 data_time: 0.0304 memory: 17350 grad_norm: 8.5762 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0927 loss: 1.0927 2022/07/24 13:25:44 - mmengine - INFO - Epoch(train) [81][3140/3757] lr: 1.0000e-04 eta: 13:20:32 time: 0.7267 data_time: 0.0239 memory: 17350 grad_norm: 8.6980 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8865 loss: 0.8865 2022/07/24 13:25:56 - mmengine - INFO - Epoch(train) [81][3160/3757] lr: 1.0000e-04 eta: 13:20:19 time: 0.6039 data_time: 0.0246 memory: 17350 grad_norm: 8.3715 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0639 loss: 1.0639 2022/07/24 13:26:10 - mmengine - INFO - Epoch(train) [81][3180/3757] lr: 1.0000e-04 eta: 13:20:06 time: 0.7296 data_time: 0.0244 memory: 17350 grad_norm: 8.7556 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2579 loss: 1.2579 2022/07/24 13:26:22 - mmengine - INFO - Epoch(train) [81][3200/3757] lr: 1.0000e-04 eta: 13:19:52 time: 0.6039 data_time: 0.0243 memory: 17350 grad_norm: 8.6459 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2186 loss: 1.2186 2022/07/24 13:26:36 - mmengine - INFO - Epoch(train) [81][3220/3757] lr: 1.0000e-04 eta: 13:19:39 time: 0.7000 data_time: 0.0249 memory: 17350 grad_norm: 7.9537 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0026 loss: 1.0026 2022/07/24 13:26:50 - mmengine - INFO - Epoch(train) [81][3240/3757] lr: 1.0000e-04 eta: 13:19:26 time: 0.6628 data_time: 0.0262 memory: 17350 grad_norm: 8.7377 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0170 loss: 1.0170 2022/07/24 13:27:03 - mmengine - INFO - Epoch(train) [81][3260/3757] lr: 1.0000e-04 eta: 13:19:12 time: 0.6842 data_time: 0.0258 memory: 17350 grad_norm: 8.4228 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0535 loss: 1.0535 2022/07/24 13:27:17 - mmengine - INFO - Epoch(train) [81][3280/3757] lr: 1.0000e-04 eta: 13:18:59 time: 0.6609 data_time: 0.0228 memory: 17350 grad_norm: 8.4679 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0662 loss: 1.0662 2022/07/24 13:27:29 - mmengine - INFO - Epoch(train) [81][3300/3757] lr: 1.0000e-04 eta: 13:18:45 time: 0.6389 data_time: 0.0254 memory: 17350 grad_norm: 8.3409 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9120 loss: 0.9120 2022/07/24 13:27:44 - mmengine - INFO - Epoch(train) [81][3320/3757] lr: 1.0000e-04 eta: 13:18:32 time: 0.7225 data_time: 0.0206 memory: 17350 grad_norm: 8.6909 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1115 loss: 1.1115 2022/07/24 13:27:56 - mmengine - INFO - Epoch(train) [81][3340/3757] lr: 1.0000e-04 eta: 13:18:19 time: 0.6251 data_time: 0.0236 memory: 17350 grad_norm: 8.3228 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9902 loss: 0.9902 2022/07/24 13:28:09 - mmengine - INFO - Epoch(train) [81][3360/3757] lr: 1.0000e-04 eta: 13:18:05 time: 0.6390 data_time: 0.0220 memory: 17350 grad_norm: 8.6722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1107 loss: 1.1107 2022/07/24 13:28:23 - mmengine - INFO - Epoch(train) [81][3380/3757] lr: 1.0000e-04 eta: 13:17:52 time: 0.7112 data_time: 0.0233 memory: 17350 grad_norm: 8.5550 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9421 loss: 0.9421 2022/07/24 13:28:36 - mmengine - INFO - Epoch(train) [81][3400/3757] lr: 1.0000e-04 eta: 13:17:39 time: 0.6070 data_time: 0.0230 memory: 17350 grad_norm: 8.7057 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9320 loss: 0.9320 2022/07/24 13:28:50 - mmengine - INFO - Epoch(train) [81][3420/3757] lr: 1.0000e-04 eta: 13:17:26 time: 0.7396 data_time: 0.0226 memory: 17350 grad_norm: 8.9238 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3135 loss: 1.3135 2022/07/24 13:29:02 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 13:29:02 - mmengine - INFO - Epoch(train) [81][3440/3757] lr: 1.0000e-04 eta: 13:17:12 time: 0.5856 data_time: 0.0271 memory: 17350 grad_norm: 7.9972 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7273 loss: 0.7273 2022/07/24 13:29:16 - mmengine - INFO - Epoch(train) [81][3460/3757] lr: 1.0000e-04 eta: 13:16:59 time: 0.7001 data_time: 0.0234 memory: 17350 grad_norm: 8.1275 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7832 loss: 0.7832 2022/07/24 13:29:29 - mmengine - INFO - Epoch(train) [81][3480/3757] lr: 1.0000e-04 eta: 13:16:45 time: 0.6329 data_time: 0.0230 memory: 17350 grad_norm: 8.7464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0697 loss: 1.0697 2022/07/24 13:29:42 - mmengine - INFO - Epoch(train) [81][3500/3757] lr: 1.0000e-04 eta: 13:16:32 time: 0.6760 data_time: 0.0288 memory: 17350 grad_norm: 8.3494 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1290 loss: 1.1290 2022/07/24 13:29:55 - mmengine - INFO - Epoch(train) [81][3520/3757] lr: 1.0000e-04 eta: 13:16:18 time: 0.6430 data_time: 0.0223 memory: 17350 grad_norm: 8.3665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9600 loss: 0.9600 2022/07/24 13:30:10 - mmengine - INFO - Epoch(train) [81][3540/3757] lr: 1.0000e-04 eta: 13:16:05 time: 0.7403 data_time: 0.0230 memory: 17350 grad_norm: 8.6870 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0510 loss: 1.0510 2022/07/24 13:30:22 - mmengine - INFO - Epoch(train) [81][3560/3757] lr: 1.0000e-04 eta: 13:15:52 time: 0.6222 data_time: 0.0240 memory: 17350 grad_norm: 8.6260 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9489 loss: 0.9489 2022/07/24 13:30:36 - mmengine - INFO - Epoch(train) [81][3580/3757] lr: 1.0000e-04 eta: 13:15:39 time: 0.6887 data_time: 0.0236 memory: 17350 grad_norm: 8.8227 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3739 loss: 1.3739 2022/07/24 13:30:48 - mmengine - INFO - Epoch(train) [81][3600/3757] lr: 1.0000e-04 eta: 13:15:25 time: 0.5990 data_time: 0.0231 memory: 17350 grad_norm: 8.4012 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0946 loss: 1.0946 2022/07/24 13:31:03 - mmengine - INFO - Epoch(train) [81][3620/3757] lr: 1.0000e-04 eta: 13:15:12 time: 0.7444 data_time: 0.0278 memory: 17350 grad_norm: 8.3480 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0406 loss: 1.0406 2022/07/24 13:31:15 - mmengine - INFO - Epoch(train) [81][3640/3757] lr: 1.0000e-04 eta: 13:14:58 time: 0.5909 data_time: 0.0236 memory: 17350 grad_norm: 8.4065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8056 loss: 0.8056 2022/07/24 13:31:29 - mmengine - INFO - Epoch(train) [81][3660/3757] lr: 1.0000e-04 eta: 13:14:45 time: 0.7155 data_time: 0.0222 memory: 17350 grad_norm: 8.5256 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8550 loss: 0.8550 2022/07/24 13:31:41 - mmengine - INFO - Epoch(train) [81][3680/3757] lr: 1.0000e-04 eta: 13:14:31 time: 0.5790 data_time: 0.0265 memory: 17350 grad_norm: 8.6756 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2878 loss: 1.2878 2022/07/24 13:31:55 - mmengine - INFO - Epoch(train) [81][3700/3757] lr: 1.0000e-04 eta: 13:14:18 time: 0.7231 data_time: 0.0220 memory: 17350 grad_norm: 8.4202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0406 loss: 1.0406 2022/07/24 13:32:09 - mmengine - INFO - Epoch(train) [81][3720/3757] lr: 1.0000e-04 eta: 13:14:05 time: 0.6608 data_time: 0.0266 memory: 17350 grad_norm: 8.3090 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9047 loss: 0.9047 2022/07/24 13:32:23 - mmengine - INFO - Epoch(train) [81][3740/3757] lr: 1.0000e-04 eta: 13:13:52 time: 0.7020 data_time: 0.0252 memory: 17350 grad_norm: 8.2997 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9898 loss: 0.9898 2022/07/24 13:32:30 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 13:32:30 - mmengine - INFO - Epoch(train) [81][3757/3757] lr: 1.0000e-04 eta: 13:13:52 time: 0.5390 data_time: 0.0387 memory: 17350 grad_norm: 8.3676 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8078 loss: 0.8078 2022/07/24 13:32:47 - mmengine - INFO - Epoch(val) [81][20/310] eta: 0:03:54 time: 0.8089 data_time: 0.6948 memory: 3406 2022/07/24 13:32:57 - mmengine - INFO - Epoch(val) [81][40/310] eta: 0:02:26 time: 0.5408 data_time: 0.4227 memory: 3406 2022/07/24 13:33:13 - mmengine - INFO - Epoch(val) [81][60/310] eta: 0:03:10 time: 0.7618 data_time: 0.6466 memory: 3406 2022/07/24 13:33:23 - mmengine - INFO - Epoch(val) [81][80/310] eta: 0:01:58 time: 0.5169 data_time: 0.4046 memory: 3406 2022/07/24 13:33:38 - mmengine - INFO - Epoch(val) [81][100/310] eta: 0:02:41 time: 0.7702 data_time: 0.6555 memory: 3406 2022/07/24 13:33:50 - mmengine - INFO - Epoch(val) [81][120/310] eta: 0:01:51 time: 0.5891 data_time: 0.4716 memory: 3406 2022/07/24 13:34:05 - mmengine - INFO - Epoch(val) [81][140/310] eta: 0:02:09 time: 0.7631 data_time: 0.6459 memory: 3406 2022/07/24 13:34:17 - mmengine - INFO - Epoch(val) [81][160/310] eta: 0:01:25 time: 0.5695 data_time: 0.4505 memory: 3406 2022/07/24 13:34:32 - mmengine - INFO - Epoch(val) [81][180/310] eta: 0:01:37 time: 0.7495 data_time: 0.6359 memory: 3406 2022/07/24 13:34:43 - mmengine - INFO - Epoch(val) [81][200/310] eta: 0:01:02 time: 0.5658 data_time: 0.4529 memory: 3406 2022/07/24 13:34:59 - mmengine - INFO - Epoch(val) [81][220/310] eta: 0:01:09 time: 0.7692 data_time: 0.6538 memory: 3406 2022/07/24 13:35:10 - mmengine - INFO - Epoch(val) [81][240/310] eta: 0:00:40 time: 0.5826 data_time: 0.4702 memory: 3406 2022/07/24 13:35:26 - mmengine - INFO - Epoch(val) [81][260/310] eta: 0:00:39 time: 0.7911 data_time: 0.6787 memory: 3406 2022/07/24 13:35:37 - mmengine - INFO - Epoch(val) [81][280/310] eta: 0:00:15 time: 0.5319 data_time: 0.4148 memory: 3406 2022/07/24 13:35:51 - mmengine - INFO - Epoch(val) [81][300/310] eta: 0:00:07 time: 0.7348 data_time: 0.6196 memory: 3406 2022/07/24 13:35:56 - mmengine - INFO - Epoch(val) [81][310/310] acc/top1: 0.6873 acc/top5: 0.8780 acc/mean1: 0.6872 2022/07/24 13:35:56 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_68.pth is removed 2022/07/24 13:35:58 - mmengine - INFO - The best checkpoint with 0.6873 acc/top1 at 82 epoch is saved to best_acc/top1_epoch_82.pth. 2022/07/24 13:36:15 - mmengine - INFO - Epoch(train) [82][20/3757] lr: 1.0000e-04 eta: 13:13:25 time: 0.8481 data_time: 0.5182 memory: 17350 grad_norm: 8.2940 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6160 loss: 0.6160 2022/07/24 13:36:27 - mmengine - INFO - Epoch(train) [82][40/3757] lr: 1.0000e-04 eta: 13:13:12 time: 0.6292 data_time: 0.3012 memory: 17350 grad_norm: 8.2743 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9946 loss: 0.9946 2022/07/24 13:36:42 - mmengine - INFO - Epoch(train) [82][60/3757] lr: 1.0000e-04 eta: 13:12:59 time: 0.7080 data_time: 0.3779 memory: 17350 grad_norm: 8.6791 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1114 loss: 1.1114 2022/07/24 13:36:54 - mmengine - INFO - Epoch(train) [82][80/3757] lr: 1.0000e-04 eta: 13:12:45 time: 0.6038 data_time: 0.2745 memory: 17350 grad_norm: 8.3526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0497 loss: 1.0497 2022/07/24 13:37:08 - mmengine - INFO - Epoch(train) [82][100/3757] lr: 1.0000e-04 eta: 13:12:32 time: 0.7238 data_time: 0.3739 memory: 17350 grad_norm: 8.8423 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8303 loss: 0.8303 2022/07/24 13:37:20 - mmengine - INFO - Epoch(train) [82][120/3757] lr: 1.0000e-04 eta: 13:12:18 time: 0.6055 data_time: 0.2058 memory: 17350 grad_norm: 8.6837 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8862 loss: 0.8862 2022/07/24 13:37:35 - mmengine - INFO - Epoch(train) [82][140/3757] lr: 1.0000e-04 eta: 13:12:05 time: 0.7340 data_time: 0.3264 memory: 17350 grad_norm: 8.4287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0012 loss: 1.0012 2022/07/24 13:37:47 - mmengine - INFO - Epoch(train) [82][160/3757] lr: 1.0000e-04 eta: 13:11:52 time: 0.5987 data_time: 0.2227 memory: 17350 grad_norm: 8.4721 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.0474 loss: 1.0474 2022/07/24 13:38:01 - mmengine - INFO - Epoch(train) [82][180/3757] lr: 1.0000e-04 eta: 13:11:38 time: 0.6921 data_time: 0.2582 memory: 17350 grad_norm: 8.3302 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0236 loss: 1.0236 2022/07/24 13:38:12 - mmengine - INFO - Epoch(train) [82][200/3757] lr: 1.0000e-04 eta: 13:11:25 time: 0.5786 data_time: 0.1969 memory: 17350 grad_norm: 8.7097 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9027 loss: 0.9027 2022/07/24 13:38:28 - mmengine - INFO - Epoch(train) [82][220/3757] lr: 1.0000e-04 eta: 13:11:12 time: 0.7778 data_time: 0.2882 memory: 17350 grad_norm: 8.2316 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1612 loss: 1.1612 2022/07/24 13:38:41 - mmengine - INFO - Epoch(train) [82][240/3757] lr: 1.0000e-04 eta: 13:10:58 time: 0.6254 data_time: 0.0747 memory: 17350 grad_norm: 8.2667 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1045 loss: 1.1045 2022/07/24 13:38:55 - mmengine - INFO - Epoch(train) [82][260/3757] lr: 1.0000e-04 eta: 13:10:45 time: 0.7140 data_time: 0.0414 memory: 17350 grad_norm: 8.3280 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0585 loss: 1.0585 2022/07/24 13:39:07 - mmengine - INFO - Epoch(train) [82][280/3757] lr: 1.0000e-04 eta: 13:10:31 time: 0.5834 data_time: 0.0278 memory: 17350 grad_norm: 8.6201 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0502 loss: 1.0502 2022/07/24 13:39:21 - mmengine - INFO - Epoch(train) [82][300/3757] lr: 1.0000e-04 eta: 13:10:18 time: 0.7377 data_time: 0.1187 memory: 17350 grad_norm: 8.3943 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0335 loss: 1.0335 2022/07/24 13:39:33 - mmengine - INFO - Epoch(train) [82][320/3757] lr: 1.0000e-04 eta: 13:10:05 time: 0.5891 data_time: 0.0391 memory: 17350 grad_norm: 8.7245 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9739 loss: 0.9739 2022/07/24 13:39:48 - mmengine - INFO - Epoch(train) [82][340/3757] lr: 1.0000e-04 eta: 13:09:52 time: 0.7576 data_time: 0.1085 memory: 17350 grad_norm: 8.4702 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0901 loss: 1.0901 2022/07/24 13:40:00 - mmengine - INFO - Epoch(train) [82][360/3757] lr: 1.0000e-04 eta: 13:09:38 time: 0.5830 data_time: 0.1474 memory: 17350 grad_norm: 8.4053 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9979 loss: 0.9979 2022/07/24 13:40:15 - mmengine - INFO - Epoch(train) [82][380/3757] lr: 1.0000e-04 eta: 13:09:25 time: 0.7330 data_time: 0.3834 memory: 17350 grad_norm: 8.8272 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1039 loss: 1.1039 2022/07/24 13:40:26 - mmengine - INFO - Epoch(train) [82][400/3757] lr: 1.0000e-04 eta: 13:09:11 time: 0.5811 data_time: 0.2520 memory: 17350 grad_norm: 8.3619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7893 loss: 0.7893 2022/07/24 13:40:42 - mmengine - INFO - Epoch(train) [82][420/3757] lr: 1.0000e-04 eta: 13:08:58 time: 0.7633 data_time: 0.4351 memory: 17350 grad_norm: 8.7422 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0986 loss: 1.0986 2022/07/24 13:40:53 - mmengine - INFO - Epoch(train) [82][440/3757] lr: 1.0000e-04 eta: 13:08:44 time: 0.5611 data_time: 0.2329 memory: 17350 grad_norm: 8.3512 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0066 loss: 1.0066 2022/07/24 13:41:08 - mmengine - INFO - Epoch(train) [82][460/3757] lr: 1.0000e-04 eta: 13:08:31 time: 0.7417 data_time: 0.4063 memory: 17350 grad_norm: 8.5359 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1216 loss: 1.1216 2022/07/24 13:41:20 - mmengine - INFO - Epoch(train) [82][480/3757] lr: 1.0000e-04 eta: 13:08:18 time: 0.6022 data_time: 0.2590 memory: 17350 grad_norm: 8.2261 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8784 loss: 0.8784 2022/07/24 13:41:34 - mmengine - INFO - Epoch(train) [82][500/3757] lr: 1.0000e-04 eta: 13:08:05 time: 0.7361 data_time: 0.4011 memory: 17350 grad_norm: 8.2587 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9942 loss: 0.9942 2022/07/24 13:41:47 - mmengine - INFO - Epoch(train) [82][520/3757] lr: 1.0000e-04 eta: 13:07:51 time: 0.6059 data_time: 0.2607 memory: 17350 grad_norm: 8.3166 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0562 loss: 1.0562 2022/07/24 13:42:01 - mmengine - INFO - Epoch(train) [82][540/3757] lr: 1.0000e-04 eta: 13:07:38 time: 0.6971 data_time: 0.3607 memory: 17350 grad_norm: 8.5432 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2253 loss: 1.2253 2022/07/24 13:42:12 - mmengine - INFO - Epoch(train) [82][560/3757] lr: 1.0000e-04 eta: 13:07:24 time: 0.5807 data_time: 0.2407 memory: 17350 grad_norm: 8.5486 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9228 loss: 0.9228 2022/07/24 13:42:26 - mmengine - INFO - Epoch(train) [82][580/3757] lr: 1.0000e-04 eta: 13:07:11 time: 0.7146 data_time: 0.2857 memory: 17350 grad_norm: 8.6995 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9816 loss: 0.9816 2022/07/24 13:42:39 - mmengine - INFO - Epoch(train) [82][600/3757] lr: 1.0000e-04 eta: 13:06:57 time: 0.6016 data_time: 0.1695 memory: 17350 grad_norm: 8.4821 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9685 loss: 0.9685 2022/07/24 13:42:53 - mmengine - INFO - Epoch(train) [82][620/3757] lr: 1.0000e-04 eta: 13:06:44 time: 0.7262 data_time: 0.1369 memory: 17350 grad_norm: 8.6112 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2774 loss: 1.2774 2022/07/24 13:43:06 - mmengine - INFO - Epoch(train) [82][640/3757] lr: 1.0000e-04 eta: 13:06:31 time: 0.6423 data_time: 0.0695 memory: 17350 grad_norm: 8.4801 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0147 loss: 1.0147 2022/07/24 13:43:20 - mmengine - INFO - Epoch(train) [82][660/3757] lr: 1.0000e-04 eta: 13:06:18 time: 0.6904 data_time: 0.0237 memory: 17350 grad_norm: 8.2689 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1708 loss: 1.1708 2022/07/24 13:43:32 - mmengine - INFO - Epoch(train) [82][680/3757] lr: 1.0000e-04 eta: 13:06:04 time: 0.6161 data_time: 0.0222 memory: 17350 grad_norm: 8.8098 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9530 loss: 0.9530 2022/07/24 13:43:35 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 13:43:47 - mmengine - INFO - Epoch(train) [82][700/3757] lr: 1.0000e-04 eta: 13:05:51 time: 0.7267 data_time: 0.0215 memory: 17350 grad_norm: 8.3639 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9575 loss: 0.9575 2022/07/24 13:43:59 - mmengine - INFO - Epoch(train) [82][720/3757] lr: 1.0000e-04 eta: 13:05:37 time: 0.6016 data_time: 0.0254 memory: 17350 grad_norm: 8.1112 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8117 loss: 0.8117 2022/07/24 13:44:13 - mmengine - INFO - Epoch(train) [82][740/3757] lr: 1.0000e-04 eta: 13:05:24 time: 0.6991 data_time: 0.0226 memory: 17350 grad_norm: 8.3069 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9806 loss: 0.9806 2022/07/24 13:44:24 - mmengine - INFO - Epoch(train) [82][760/3757] lr: 1.0000e-04 eta: 13:05:10 time: 0.5783 data_time: 0.0290 memory: 17350 grad_norm: 8.4418 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0675 loss: 1.0675 2022/07/24 13:44:40 - mmengine - INFO - Epoch(train) [82][780/3757] lr: 1.0000e-04 eta: 13:04:58 time: 0.7638 data_time: 0.0247 memory: 17350 grad_norm: 8.6730 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8556 loss: 0.8556 2022/07/24 13:44:51 - mmengine - INFO - Epoch(train) [82][800/3757] lr: 1.0000e-04 eta: 13:04:44 time: 0.5780 data_time: 0.0237 memory: 17350 grad_norm: 8.1239 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9129 loss: 0.9129 2022/07/24 13:45:06 - mmengine - INFO - Epoch(train) [82][820/3757] lr: 1.0000e-04 eta: 13:04:31 time: 0.7393 data_time: 0.0228 memory: 17350 grad_norm: 8.7288 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0751 loss: 1.0751 2022/07/24 13:45:18 - mmengine - INFO - Epoch(train) [82][840/3757] lr: 1.0000e-04 eta: 13:04:17 time: 0.6085 data_time: 0.0225 memory: 17350 grad_norm: 8.6989 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0303 loss: 1.0303 2022/07/24 13:45:32 - mmengine - INFO - Epoch(train) [82][860/3757] lr: 1.0000e-04 eta: 13:04:04 time: 0.7034 data_time: 0.0227 memory: 17350 grad_norm: 8.6929 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0950 loss: 1.0950 2022/07/24 13:45:44 - mmengine - INFO - Epoch(train) [82][880/3757] lr: 1.0000e-04 eta: 13:03:50 time: 0.5987 data_time: 0.0263 memory: 17350 grad_norm: 8.8126 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0334 loss: 1.0334 2022/07/24 13:45:59 - mmengine - INFO - Epoch(train) [82][900/3757] lr: 1.0000e-04 eta: 13:03:37 time: 0.7305 data_time: 0.0421 memory: 17350 grad_norm: 8.6764 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9991 loss: 0.9991 2022/07/24 13:46:11 - mmengine - INFO - Epoch(train) [82][920/3757] lr: 1.0000e-04 eta: 13:03:24 time: 0.6238 data_time: 0.0250 memory: 17350 grad_norm: 8.4061 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0014 loss: 1.0014 2022/07/24 13:46:26 - mmengine - INFO - Epoch(train) [82][940/3757] lr: 1.0000e-04 eta: 13:03:11 time: 0.7322 data_time: 0.0236 memory: 17350 grad_norm: 8.6565 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8888 loss: 0.8888 2022/07/24 13:46:38 - mmengine - INFO - Epoch(train) [82][960/3757] lr: 1.0000e-04 eta: 13:02:57 time: 0.6000 data_time: 0.0221 memory: 17350 grad_norm: 8.4075 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8737 loss: 0.8737 2022/07/24 13:46:53 - mmengine - INFO - Epoch(train) [82][980/3757] lr: 1.0000e-04 eta: 13:02:44 time: 0.7349 data_time: 0.0217 memory: 17350 grad_norm: 8.4367 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1140 loss: 1.1140 2022/07/24 13:47:05 - mmengine - INFO - Epoch(train) [82][1000/3757] lr: 1.0000e-04 eta: 13:02:31 time: 0.6296 data_time: 0.0254 memory: 17350 grad_norm: 8.2134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0063 loss: 1.0063 2022/07/24 13:47:19 - mmengine - INFO - Epoch(train) [82][1020/3757] lr: 1.0000e-04 eta: 13:02:17 time: 0.7066 data_time: 0.0219 memory: 17350 grad_norm: 8.5061 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9053 loss: 0.9053 2022/07/24 13:47:31 - mmengine - INFO - Epoch(train) [82][1040/3757] lr: 1.0000e-04 eta: 13:02:04 time: 0.5906 data_time: 0.0152 memory: 17350 grad_norm: 8.6316 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1865 loss: 1.1865 2022/07/24 13:47:46 - mmengine - INFO - Epoch(train) [82][1060/3757] lr: 1.0000e-04 eta: 13:01:51 time: 0.7126 data_time: 0.0235 memory: 17350 grad_norm: 8.7426 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0569 loss: 1.0569 2022/07/24 13:47:58 - mmengine - INFO - Epoch(train) [82][1080/3757] lr: 1.0000e-04 eta: 13:01:37 time: 0.6292 data_time: 0.0219 memory: 17350 grad_norm: 8.3843 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0881 loss: 1.0881 2022/07/24 13:48:13 - mmengine - INFO - Epoch(train) [82][1100/3757] lr: 1.0000e-04 eta: 13:01:24 time: 0.7459 data_time: 0.0215 memory: 17350 grad_norm: 8.2540 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0325 loss: 1.0325 2022/07/24 13:48:25 - mmengine - INFO - Epoch(train) [82][1120/3757] lr: 1.0000e-04 eta: 13:01:10 time: 0.5918 data_time: 0.0244 memory: 17350 grad_norm: 8.9687 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9697 loss: 0.9697 2022/07/24 13:48:39 - mmengine - INFO - Epoch(train) [82][1140/3757] lr: 1.0000e-04 eta: 13:00:57 time: 0.6988 data_time: 0.0223 memory: 17350 grad_norm: 8.7850 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0279 loss: 1.0279 2022/07/24 13:48:51 - mmengine - INFO - Epoch(train) [82][1160/3757] lr: 1.0000e-04 eta: 13:00:44 time: 0.5983 data_time: 0.0225 memory: 17350 grad_norm: 8.9690 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8227 loss: 0.8227 2022/07/24 13:49:06 - mmengine - INFO - Epoch(train) [82][1180/3757] lr: 1.0000e-04 eta: 13:00:31 time: 0.7376 data_time: 0.0222 memory: 17350 grad_norm: 8.5212 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9201 loss: 0.9201 2022/07/24 13:49:17 - mmengine - INFO - Epoch(train) [82][1200/3757] lr: 1.0000e-04 eta: 13:00:17 time: 0.5830 data_time: 0.0223 memory: 17350 grad_norm: 8.5662 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9413 loss: 0.9413 2022/07/24 13:49:32 - mmengine - INFO - Epoch(train) [82][1220/3757] lr: 1.0000e-04 eta: 13:00:04 time: 0.7036 data_time: 0.0223 memory: 17350 grad_norm: 8.5603 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0222 loss: 1.0222 2022/07/24 13:49:44 - mmengine - INFO - Epoch(train) [82][1240/3757] lr: 1.0000e-04 eta: 12:59:50 time: 0.6414 data_time: 0.0235 memory: 17350 grad_norm: 8.5777 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8467 loss: 0.8467 2022/07/24 13:49:59 - mmengine - INFO - Epoch(train) [82][1260/3757] lr: 1.0000e-04 eta: 12:59:37 time: 0.7459 data_time: 0.0219 memory: 17350 grad_norm: 8.5608 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0329 loss: 1.0329 2022/07/24 13:50:11 - mmengine - INFO - Epoch(train) [82][1280/3757] lr: 1.0000e-04 eta: 12:59:24 time: 0.6084 data_time: 0.0210 memory: 17350 grad_norm: 8.1184 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6353 loss: 0.6353 2022/07/24 13:50:26 - mmengine - INFO - Epoch(train) [82][1300/3757] lr: 1.0000e-04 eta: 12:59:10 time: 0.7203 data_time: 0.0215 memory: 17350 grad_norm: 8.5090 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9041 loss: 0.9041 2022/07/24 13:50:38 - mmengine - INFO - Epoch(train) [82][1320/3757] lr: 1.0000e-04 eta: 12:58:57 time: 0.6038 data_time: 0.0213 memory: 17350 grad_norm: 8.1742 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2023 loss: 1.2023 2022/07/24 13:50:52 - mmengine - INFO - Epoch(train) [82][1340/3757] lr: 1.0000e-04 eta: 12:58:44 time: 0.7158 data_time: 0.0217 memory: 17350 grad_norm: 8.8172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0520 loss: 1.0520 2022/07/24 13:51:05 - mmengine - INFO - Epoch(train) [82][1360/3757] lr: 1.0000e-04 eta: 12:58:30 time: 0.6107 data_time: 0.0239 memory: 17350 grad_norm: 8.3583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8636 loss: 0.8636 2022/07/24 13:51:19 - mmengine - INFO - Epoch(train) [82][1380/3757] lr: 1.0000e-04 eta: 12:58:17 time: 0.7007 data_time: 0.0217 memory: 17350 grad_norm: 8.2753 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8693 loss: 0.8693 2022/07/24 13:51:31 - mmengine - INFO - Epoch(train) [82][1400/3757] lr: 1.0000e-04 eta: 12:58:03 time: 0.6256 data_time: 0.0244 memory: 17350 grad_norm: 8.2536 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8565 loss: 0.8565 2022/07/24 13:51:46 - mmengine - INFO - Epoch(train) [82][1420/3757] lr: 1.0000e-04 eta: 12:57:50 time: 0.7311 data_time: 0.0227 memory: 17350 grad_norm: 8.5709 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1120 loss: 1.1120 2022/07/24 13:51:58 - mmengine - INFO - Epoch(train) [82][1440/3757] lr: 1.0000e-04 eta: 12:57:37 time: 0.6081 data_time: 0.0254 memory: 17350 grad_norm: 8.2275 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8534 loss: 0.8534 2022/07/24 13:52:13 - mmengine - INFO - Epoch(train) [82][1460/3757] lr: 1.0000e-04 eta: 12:57:24 time: 0.7436 data_time: 0.0253 memory: 17350 grad_norm: 8.7678 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9604 loss: 0.9604 2022/07/24 13:52:24 - mmengine - INFO - Epoch(train) [82][1480/3757] lr: 1.0000e-04 eta: 12:57:10 time: 0.5801 data_time: 0.0238 memory: 17350 grad_norm: 8.2669 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9534 loss: 0.9534 2022/07/24 13:52:39 - mmengine - INFO - Epoch(train) [82][1500/3757] lr: 1.0000e-04 eta: 12:56:57 time: 0.7142 data_time: 0.0230 memory: 17350 grad_norm: 8.1650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1233 loss: 1.1233 2022/07/24 13:52:51 - mmengine - INFO - Epoch(train) [82][1520/3757] lr: 1.0000e-04 eta: 12:56:43 time: 0.5966 data_time: 0.0230 memory: 17350 grad_norm: 8.3534 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9433 loss: 0.9433 2022/07/24 13:53:06 - mmengine - INFO - Epoch(train) [82][1540/3757] lr: 1.0000e-04 eta: 12:56:30 time: 0.7497 data_time: 0.0225 memory: 17350 grad_norm: 8.3989 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9297 loss: 0.9297 2022/07/24 13:53:18 - mmengine - INFO - Epoch(train) [82][1560/3757] lr: 1.0000e-04 eta: 12:56:17 time: 0.6060 data_time: 0.0195 memory: 17350 grad_norm: 8.4725 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8988 loss: 0.8988 2022/07/24 13:53:32 - mmengine - INFO - Epoch(train) [82][1580/3757] lr: 1.0000e-04 eta: 12:56:04 time: 0.7278 data_time: 0.0268 memory: 17350 grad_norm: 8.1159 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9245 loss: 0.9245 2022/07/24 13:53:45 - mmengine - INFO - Epoch(train) [82][1600/3757] lr: 1.0000e-04 eta: 12:55:50 time: 0.6100 data_time: 0.0257 memory: 17350 grad_norm: 8.6766 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9422 loss: 0.9422 2022/07/24 13:53:59 - mmengine - INFO - Epoch(train) [82][1620/3757] lr: 1.0000e-04 eta: 12:55:37 time: 0.7394 data_time: 0.0211 memory: 17350 grad_norm: 8.4183 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9134 loss: 0.9134 2022/07/24 13:54:11 - mmengine - INFO - Epoch(train) [82][1640/3757] lr: 1.0000e-04 eta: 12:55:23 time: 0.5758 data_time: 0.0237 memory: 17350 grad_norm: 8.5994 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1321 loss: 1.1321 2022/07/24 13:54:25 - mmengine - INFO - Epoch(train) [82][1660/3757] lr: 1.0000e-04 eta: 12:55:10 time: 0.7234 data_time: 0.0212 memory: 17350 grad_norm: 9.1116 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0926 loss: 1.0926 2022/07/24 13:54:37 - mmengine - INFO - Epoch(train) [82][1680/3757] lr: 1.0000e-04 eta: 12:54:56 time: 0.5842 data_time: 0.0222 memory: 17350 grad_norm: 8.7279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1699 loss: 1.1699 2022/07/24 13:54:41 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 13:54:51 - mmengine - INFO - Epoch(train) [82][1700/3757] lr: 1.0000e-04 eta: 12:54:43 time: 0.6717 data_time: 0.0220 memory: 17350 grad_norm: 8.2160 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8652 loss: 0.8652 2022/07/24 13:55:04 - mmengine - INFO - Epoch(train) [82][1720/3757] lr: 1.0000e-04 eta: 12:54:30 time: 0.6725 data_time: 0.0225 memory: 17350 grad_norm: 8.4812 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0448 loss: 1.0448 2022/07/24 13:55:18 - mmengine - INFO - Epoch(train) [82][1740/3757] lr: 1.0000e-04 eta: 12:54:16 time: 0.6740 data_time: 0.0288 memory: 17350 grad_norm: 8.1675 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9512 loss: 0.9512 2022/07/24 13:55:30 - mmengine - INFO - Epoch(train) [82][1760/3757] lr: 1.0000e-04 eta: 12:54:03 time: 0.6337 data_time: 0.0227 memory: 17350 grad_norm: 8.1877 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9440 loss: 0.9440 2022/07/24 13:55:44 - mmengine - INFO - Epoch(train) [82][1780/3757] lr: 1.0000e-04 eta: 12:53:50 time: 0.6893 data_time: 0.0242 memory: 17350 grad_norm: 8.1841 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0460 loss: 1.0460 2022/07/24 13:55:59 - mmengine - INFO - Epoch(train) [82][1800/3757] lr: 1.0000e-04 eta: 12:53:37 time: 0.7213 data_time: 0.0222 memory: 17350 grad_norm: 8.4942 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8450 loss: 0.8450 2022/07/24 13:56:11 - mmengine - INFO - Epoch(train) [82][1820/3757] lr: 1.0000e-04 eta: 12:53:23 time: 0.6330 data_time: 0.0230 memory: 17350 grad_norm: 8.5512 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0166 loss: 1.0166 2022/07/24 13:56:25 - mmengine - INFO - Epoch(train) [82][1840/3757] lr: 1.0000e-04 eta: 12:53:10 time: 0.6650 data_time: 0.0240 memory: 17350 grad_norm: 8.6751 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8627 loss: 0.8627 2022/07/24 13:56:37 - mmengine - INFO - Epoch(train) [82][1860/3757] lr: 1.0000e-04 eta: 12:52:56 time: 0.6220 data_time: 0.0239 memory: 17350 grad_norm: 8.6945 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2299 loss: 1.2299 2022/07/24 13:56:50 - mmengine - INFO - Epoch(train) [82][1880/3757] lr: 1.0000e-04 eta: 12:52:43 time: 0.6745 data_time: 0.0235 memory: 17350 grad_norm: 8.4430 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0735 loss: 1.0735 2022/07/24 13:57:04 - mmengine - INFO - Epoch(train) [82][1900/3757] lr: 1.0000e-04 eta: 12:52:30 time: 0.6536 data_time: 0.0249 memory: 17350 grad_norm: 8.8709 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4930 loss: 1.4930 2022/07/24 13:57:17 - mmengine - INFO - Epoch(train) [82][1920/3757] lr: 1.0000e-04 eta: 12:52:16 time: 0.6907 data_time: 0.0214 memory: 17350 grad_norm: 8.2420 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1034 loss: 1.1034 2022/07/24 13:57:31 - mmengine - INFO - Epoch(train) [82][1940/3757] lr: 1.0000e-04 eta: 12:52:03 time: 0.6632 data_time: 0.0234 memory: 17350 grad_norm: 8.7700 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0337 loss: 1.0337 2022/07/24 13:57:44 - mmengine - INFO - Epoch(train) [82][1960/3757] lr: 1.0000e-04 eta: 12:51:50 time: 0.6690 data_time: 0.0215 memory: 17350 grad_norm: 8.6187 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2088 loss: 1.2088 2022/07/24 13:57:56 - mmengine - INFO - Epoch(train) [82][1980/3757] lr: 1.0000e-04 eta: 12:51:36 time: 0.6033 data_time: 0.0229 memory: 17350 grad_norm: 8.6971 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9344 loss: 0.9344 2022/07/24 13:58:11 - mmengine - INFO - Epoch(train) [82][2000/3757] lr: 1.0000e-04 eta: 12:51:23 time: 0.7390 data_time: 0.0213 memory: 17350 grad_norm: 8.4806 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9528 loss: 0.9528 2022/07/24 13:58:23 - mmengine - INFO - Epoch(train) [82][2020/3757] lr: 1.0000e-04 eta: 12:51:09 time: 0.6133 data_time: 0.0234 memory: 17350 grad_norm: 8.7830 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9848 loss: 0.9848 2022/07/24 13:58:38 - mmengine - INFO - Epoch(train) [82][2040/3757] lr: 1.0000e-04 eta: 12:50:56 time: 0.7196 data_time: 0.0233 memory: 17350 grad_norm: 8.4154 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8682 loss: 0.8682 2022/07/24 13:58:50 - mmengine - INFO - Epoch(train) [82][2060/3757] lr: 1.0000e-04 eta: 12:50:43 time: 0.6150 data_time: 0.0275 memory: 17350 grad_norm: 8.5632 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0511 loss: 1.0511 2022/07/24 13:59:04 - mmengine - INFO - Epoch(train) [82][2080/3757] lr: 1.0000e-04 eta: 12:50:29 time: 0.6924 data_time: 0.0233 memory: 17350 grad_norm: 8.2655 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0562 loss: 1.0562 2022/07/24 13:59:17 - mmengine - INFO - Epoch(train) [82][2100/3757] lr: 1.0000e-04 eta: 12:50:16 time: 0.6370 data_time: 0.0245 memory: 17350 grad_norm: 8.9678 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1739 loss: 1.1739 2022/07/24 13:59:31 - mmengine - INFO - Epoch(train) [82][2120/3757] lr: 1.0000e-04 eta: 12:50:03 time: 0.7220 data_time: 0.0229 memory: 17350 grad_norm: 8.3577 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9013 loss: 0.9013 2022/07/24 13:59:43 - mmengine - INFO - Epoch(train) [82][2140/3757] lr: 1.0000e-04 eta: 12:49:49 time: 0.6021 data_time: 0.0254 memory: 17350 grad_norm: 8.6458 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8768 loss: 0.8768 2022/07/24 13:59:58 - mmengine - INFO - Epoch(train) [82][2160/3757] lr: 1.0000e-04 eta: 12:49:36 time: 0.7208 data_time: 0.0252 memory: 17350 grad_norm: 8.4269 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0408 loss: 1.0408 2022/07/24 14:00:11 - mmengine - INFO - Epoch(train) [82][2180/3757] lr: 1.0000e-04 eta: 12:49:23 time: 0.6543 data_time: 0.0226 memory: 17350 grad_norm: 7.9330 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8822 loss: 0.8822 2022/07/24 14:00:25 - mmengine - INFO - Epoch(train) [82][2200/3757] lr: 1.0000e-04 eta: 12:49:10 time: 0.7075 data_time: 0.0234 memory: 17350 grad_norm: 8.7514 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0134 loss: 1.0134 2022/07/24 14:00:37 - mmengine - INFO - Epoch(train) [82][2220/3757] lr: 1.0000e-04 eta: 12:48:56 time: 0.6254 data_time: 0.0237 memory: 17350 grad_norm: 8.7678 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1287 loss: 1.1287 2022/07/24 14:00:51 - mmengine - INFO - Epoch(train) [82][2240/3757] lr: 1.0000e-04 eta: 12:48:43 time: 0.7051 data_time: 0.0239 memory: 17350 grad_norm: 8.9278 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0034 loss: 1.0034 2022/07/24 14:01:03 - mmengine - INFO - Epoch(train) [82][2260/3757] lr: 1.0000e-04 eta: 12:48:29 time: 0.5672 data_time: 0.0252 memory: 17350 grad_norm: 8.3712 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0128 loss: 1.0128 2022/07/24 14:01:17 - mmengine - INFO - Epoch(train) [82][2280/3757] lr: 1.0000e-04 eta: 12:48:16 time: 0.7261 data_time: 0.0206 memory: 17350 grad_norm: 8.4004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8636 loss: 0.8636 2022/07/24 14:01:29 - mmengine - INFO - Epoch(train) [82][2300/3757] lr: 1.0000e-04 eta: 12:48:02 time: 0.5743 data_time: 0.0247 memory: 17350 grad_norm: 8.5094 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0985 loss: 1.0985 2022/07/24 14:01:44 - mmengine - INFO - Epoch(train) [82][2320/3757] lr: 1.0000e-04 eta: 12:47:49 time: 0.7324 data_time: 0.0323 memory: 17350 grad_norm: 8.3435 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0707 loss: 1.0707 2022/07/24 14:01:56 - mmengine - INFO - Epoch(train) [82][2340/3757] lr: 1.0000e-04 eta: 12:47:36 time: 0.6111 data_time: 0.0276 memory: 17350 grad_norm: 8.5816 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9735 loss: 0.9735 2022/07/24 14:02:11 - mmengine - INFO - Epoch(train) [82][2360/3757] lr: 1.0000e-04 eta: 12:47:23 time: 0.7592 data_time: 0.0206 memory: 17350 grad_norm: 8.4679 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0162 loss: 1.0162 2022/07/24 14:02:23 - mmengine - INFO - Epoch(train) [82][2380/3757] lr: 1.0000e-04 eta: 12:47:09 time: 0.5940 data_time: 0.0225 memory: 17350 grad_norm: 8.4243 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0965 loss: 1.0965 2022/07/24 14:02:37 - mmengine - INFO - Epoch(train) [82][2400/3757] lr: 1.0000e-04 eta: 12:46:56 time: 0.7052 data_time: 0.0221 memory: 17350 grad_norm: 8.1220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9773 loss: 0.9773 2022/07/24 14:02:49 - mmengine - INFO - Epoch(train) [82][2420/3757] lr: 1.0000e-04 eta: 12:46:42 time: 0.5795 data_time: 0.0230 memory: 17350 grad_norm: 8.8614 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1678 loss: 1.1678 2022/07/24 14:03:03 - mmengine - INFO - Epoch(train) [82][2440/3757] lr: 1.0000e-04 eta: 12:46:29 time: 0.7401 data_time: 0.0245 memory: 17350 grad_norm: 8.5149 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0446 loss: 1.0446 2022/07/24 14:03:16 - mmengine - INFO - Epoch(train) [82][2460/3757] lr: 1.0000e-04 eta: 12:46:16 time: 0.6174 data_time: 0.0252 memory: 17350 grad_norm: 8.5460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8765 loss: 0.8765 2022/07/24 14:03:30 - mmengine - INFO - Epoch(train) [82][2480/3757] lr: 1.0000e-04 eta: 12:46:02 time: 0.7085 data_time: 0.0238 memory: 17350 grad_norm: 8.5168 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0090 loss: 1.0090 2022/07/24 14:03:42 - mmengine - INFO - Epoch(train) [82][2500/3757] lr: 1.0000e-04 eta: 12:45:49 time: 0.6114 data_time: 0.0313 memory: 17350 grad_norm: 8.4318 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8605 loss: 0.8605 2022/07/24 14:03:56 - mmengine - INFO - Epoch(train) [82][2520/3757] lr: 1.0000e-04 eta: 12:45:36 time: 0.7073 data_time: 0.0221 memory: 17350 grad_norm: 8.3543 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9839 loss: 0.9839 2022/07/24 14:04:08 - mmengine - INFO - Epoch(train) [82][2540/3757] lr: 1.0000e-04 eta: 12:45:22 time: 0.5922 data_time: 0.0349 memory: 17350 grad_norm: 8.6423 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0997 loss: 1.0997 2022/07/24 14:04:23 - mmengine - INFO - Epoch(train) [82][2560/3757] lr: 1.0000e-04 eta: 12:45:09 time: 0.7568 data_time: 0.0231 memory: 17350 grad_norm: 8.4517 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8254 loss: 0.8254 2022/07/24 14:04:36 - mmengine - INFO - Epoch(train) [82][2580/3757] lr: 1.0000e-04 eta: 12:44:55 time: 0.6042 data_time: 0.0226 memory: 17350 grad_norm: 8.6401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0899 loss: 1.0899 2022/07/24 14:04:50 - mmengine - INFO - Epoch(train) [82][2600/3757] lr: 1.0000e-04 eta: 12:44:42 time: 0.7176 data_time: 0.0224 memory: 17350 grad_norm: 8.5431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1613 loss: 1.1613 2022/07/24 14:05:03 - mmengine - INFO - Epoch(train) [82][2620/3757] lr: 1.0000e-04 eta: 12:44:29 time: 0.6519 data_time: 0.1156 memory: 17350 grad_norm: 8.9045 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0966 loss: 1.0966 2022/07/24 14:05:17 - mmengine - INFO - Epoch(train) [82][2640/3757] lr: 1.0000e-04 eta: 12:44:16 time: 0.6859 data_time: 0.1564 memory: 17350 grad_norm: 8.4070 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8594 loss: 0.8594 2022/07/24 14:05:30 - mmengine - INFO - Epoch(train) [82][2660/3757] lr: 1.0000e-04 eta: 12:44:02 time: 0.6480 data_time: 0.1234 memory: 17350 grad_norm: 8.5978 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1418 loss: 1.1418 2022/07/24 14:05:44 - mmengine - INFO - Epoch(train) [82][2680/3757] lr: 1.0000e-04 eta: 12:43:49 time: 0.6953 data_time: 0.1277 memory: 17350 grad_norm: 8.0781 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9592 loss: 0.9592 2022/07/24 14:05:45 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 14:05:56 - mmengine - INFO - Epoch(train) [82][2700/3757] lr: 1.0000e-04 eta: 12:43:36 time: 0.6399 data_time: 0.1129 memory: 17350 grad_norm: 9.0680 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0015 loss: 1.0015 2022/07/24 14:06:10 - mmengine - INFO - Epoch(train) [82][2720/3757] lr: 1.0000e-04 eta: 12:43:22 time: 0.6639 data_time: 0.0950 memory: 17350 grad_norm: 8.1758 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0014 loss: 1.0014 2022/07/24 14:06:23 - mmengine - INFO - Epoch(train) [82][2740/3757] lr: 1.0000e-04 eta: 12:43:09 time: 0.6626 data_time: 0.2542 memory: 17350 grad_norm: 8.5800 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9931 loss: 0.9931 2022/07/24 14:06:35 - mmengine - INFO - Epoch(train) [82][2760/3757] lr: 1.0000e-04 eta: 12:42:55 time: 0.6174 data_time: 0.1317 memory: 17350 grad_norm: 8.3066 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9368 loss: 0.9368 2022/07/24 14:06:49 - mmengine - INFO - Epoch(train) [82][2780/3757] lr: 1.0000e-04 eta: 12:42:42 time: 0.6677 data_time: 0.1977 memory: 17350 grad_norm: 8.6571 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0874 loss: 1.0874 2022/07/24 14:07:02 - mmengine - INFO - Epoch(train) [82][2800/3757] lr: 1.0000e-04 eta: 12:42:29 time: 0.6702 data_time: 0.1576 memory: 17350 grad_norm: 8.4027 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0330 loss: 1.0330 2022/07/24 14:07:15 - mmengine - INFO - Epoch(train) [82][2820/3757] lr: 1.0000e-04 eta: 12:42:15 time: 0.6614 data_time: 0.2302 memory: 17350 grad_norm: 8.4423 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0252 loss: 1.0252 2022/07/24 14:07:29 - mmengine - INFO - Epoch(train) [82][2840/3757] lr: 1.0000e-04 eta: 12:42:02 time: 0.6797 data_time: 0.1103 memory: 17350 grad_norm: 8.8445 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8761 loss: 0.8761 2022/07/24 14:07:42 - mmengine - INFO - Epoch(train) [82][2860/3757] lr: 1.0000e-04 eta: 12:41:49 time: 0.6553 data_time: 0.0967 memory: 17350 grad_norm: 8.3899 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0857 loss: 1.0857 2022/07/24 14:07:56 - mmengine - INFO - Epoch(train) [82][2880/3757] lr: 1.0000e-04 eta: 12:41:35 time: 0.7004 data_time: 0.1286 memory: 17350 grad_norm: 8.5282 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7408 loss: 0.7408 2022/07/24 14:08:09 - mmengine - INFO - Epoch(train) [82][2900/3757] lr: 1.0000e-04 eta: 12:41:22 time: 0.6563 data_time: 0.2195 memory: 17350 grad_norm: 8.5604 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9328 loss: 0.9328 2022/07/24 14:08:22 - mmengine - INFO - Epoch(train) [82][2920/3757] lr: 1.0000e-04 eta: 12:41:08 time: 0.6240 data_time: 0.1345 memory: 17350 grad_norm: 8.4097 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8716 loss: 0.8716 2022/07/24 14:08:35 - mmengine - INFO - Epoch(train) [82][2940/3757] lr: 1.0000e-04 eta: 12:40:55 time: 0.6814 data_time: 0.1858 memory: 17350 grad_norm: 8.5430 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8453 loss: 0.8453 2022/07/24 14:08:48 - mmengine - INFO - Epoch(train) [82][2960/3757] lr: 1.0000e-04 eta: 12:40:42 time: 0.6334 data_time: 0.1048 memory: 17350 grad_norm: 8.8946 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2536 loss: 1.2536 2022/07/24 14:09:02 - mmengine - INFO - Epoch(train) [82][2980/3757] lr: 1.0000e-04 eta: 12:40:28 time: 0.6720 data_time: 0.1270 memory: 17350 grad_norm: 8.9671 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0202 loss: 1.0202 2022/07/24 14:09:15 - mmengine - INFO - Epoch(train) [82][3000/3757] lr: 1.0000e-04 eta: 12:40:15 time: 0.6733 data_time: 0.1211 memory: 17350 grad_norm: 8.3765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0151 loss: 1.0151 2022/07/24 14:09:29 - mmengine - INFO - Epoch(train) [82][3020/3757] lr: 1.0000e-04 eta: 12:40:02 time: 0.6760 data_time: 0.0249 memory: 17350 grad_norm: 8.0879 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0146 loss: 1.0146 2022/07/24 14:09:42 - mmengine - INFO - Epoch(train) [82][3040/3757] lr: 1.0000e-04 eta: 12:39:48 time: 0.6693 data_time: 0.0224 memory: 17350 grad_norm: 8.6249 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9997 loss: 0.9997 2022/07/24 14:09:54 - mmengine - INFO - Epoch(train) [82][3060/3757] lr: 1.0000e-04 eta: 12:39:35 time: 0.6151 data_time: 0.0298 memory: 17350 grad_norm: 8.2164 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9801 loss: 0.9801 2022/07/24 14:10:09 - mmengine - INFO - Epoch(train) [82][3080/3757] lr: 1.0000e-04 eta: 12:39:22 time: 0.7346 data_time: 0.0129 memory: 17350 grad_norm: 8.7858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0204 loss: 1.0204 2022/07/24 14:10:21 - mmengine - INFO - Epoch(train) [82][3100/3757] lr: 1.0000e-04 eta: 12:39:08 time: 0.6214 data_time: 0.0342 memory: 17350 grad_norm: 8.4122 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8529 loss: 0.8529 2022/07/24 14:10:36 - mmengine - INFO - Epoch(train) [82][3120/3757] lr: 1.0000e-04 eta: 12:38:55 time: 0.7281 data_time: 0.0234 memory: 17350 grad_norm: 8.2670 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8847 loss: 0.8847 2022/07/24 14:10:48 - mmengine - INFO - Epoch(train) [82][3140/3757] lr: 1.0000e-04 eta: 12:38:42 time: 0.5999 data_time: 0.0233 memory: 17350 grad_norm: 8.7055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8773 loss: 0.8773 2022/07/24 14:11:03 - mmengine - INFO - Epoch(train) [82][3160/3757] lr: 1.0000e-04 eta: 12:38:28 time: 0.7246 data_time: 0.0213 memory: 17350 grad_norm: 8.5588 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0424 loss: 1.0424 2022/07/24 14:11:15 - mmengine - INFO - Epoch(train) [82][3180/3757] lr: 1.0000e-04 eta: 12:38:15 time: 0.6087 data_time: 0.0235 memory: 17350 grad_norm: 8.6860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0124 loss: 1.0124 2022/07/24 14:11:29 - mmengine - INFO - Epoch(train) [82][3200/3757] lr: 1.0000e-04 eta: 12:38:02 time: 0.7303 data_time: 0.0214 memory: 17350 grad_norm: 8.6762 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1135 loss: 1.1135 2022/07/24 14:11:41 - mmengine - INFO - Epoch(train) [82][3220/3757] lr: 1.0000e-04 eta: 12:37:48 time: 0.5934 data_time: 0.0254 memory: 17350 grad_norm: 8.8876 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1711 loss: 1.1711 2022/07/24 14:11:56 - mmengine - INFO - Epoch(train) [82][3240/3757] lr: 1.0000e-04 eta: 12:37:35 time: 0.7270 data_time: 0.0210 memory: 17350 grad_norm: 8.7994 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1519 loss: 1.1519 2022/07/24 14:12:08 - mmengine - INFO - Epoch(train) [82][3260/3757] lr: 1.0000e-04 eta: 12:37:21 time: 0.5889 data_time: 0.0273 memory: 17350 grad_norm: 8.2937 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9311 loss: 0.9311 2022/07/24 14:12:22 - mmengine - INFO - Epoch(train) [82][3280/3757] lr: 1.0000e-04 eta: 12:37:08 time: 0.7276 data_time: 0.0229 memory: 17350 grad_norm: 8.7701 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8674 loss: 0.8674 2022/07/24 14:12:34 - mmengine - INFO - Epoch(train) [82][3300/3757] lr: 1.0000e-04 eta: 12:36:55 time: 0.5991 data_time: 0.0256 memory: 17350 grad_norm: 8.8837 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9246 loss: 0.9246 2022/07/24 14:12:49 - mmengine - INFO - Epoch(train) [82][3320/3757] lr: 1.0000e-04 eta: 12:36:41 time: 0.7157 data_time: 0.0212 memory: 17350 grad_norm: 8.2416 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9022 loss: 0.9022 2022/07/24 14:13:01 - mmengine - INFO - Epoch(train) [82][3340/3757] lr: 1.0000e-04 eta: 12:36:28 time: 0.6061 data_time: 0.0230 memory: 17350 grad_norm: 8.6869 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0077 loss: 1.0077 2022/07/24 14:13:15 - mmengine - INFO - Epoch(train) [82][3360/3757] lr: 1.0000e-04 eta: 12:36:15 time: 0.7195 data_time: 0.0213 memory: 17350 grad_norm: 8.2749 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9418 loss: 0.9418 2022/07/24 14:13:27 - mmengine - INFO - Epoch(train) [82][3380/3757] lr: 1.0000e-04 eta: 12:36:01 time: 0.6058 data_time: 0.0228 memory: 17350 grad_norm: 8.4087 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0674 loss: 1.0674 2022/07/24 14:13:42 - mmengine - INFO - Epoch(train) [82][3400/3757] lr: 1.0000e-04 eta: 12:35:48 time: 0.7207 data_time: 0.0241 memory: 17350 grad_norm: 8.7153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2270 loss: 1.2270 2022/07/24 14:13:53 - mmengine - INFO - Epoch(train) [82][3420/3757] lr: 1.0000e-04 eta: 12:35:34 time: 0.5880 data_time: 0.0256 memory: 17350 grad_norm: 8.8730 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0992 loss: 1.0992 2022/07/24 14:14:08 - mmengine - INFO - Epoch(train) [82][3440/3757] lr: 1.0000e-04 eta: 12:35:21 time: 0.7317 data_time: 0.0205 memory: 17350 grad_norm: 8.4304 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8529 loss: 0.8529 2022/07/24 14:14:21 - mmengine - INFO - Epoch(train) [82][3460/3757] lr: 1.0000e-04 eta: 12:35:08 time: 0.6265 data_time: 0.0244 memory: 17350 grad_norm: 8.7276 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1423 loss: 1.1423 2022/07/24 14:14:36 - mmengine - INFO - Epoch(train) [82][3480/3757] lr: 1.0000e-04 eta: 12:34:55 time: 0.7427 data_time: 0.0221 memory: 17350 grad_norm: 8.7186 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8835 loss: 0.8835 2022/07/24 14:14:47 - mmengine - INFO - Epoch(train) [82][3500/3757] lr: 1.0000e-04 eta: 12:34:41 time: 0.5848 data_time: 0.0262 memory: 17350 grad_norm: 8.4670 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0566 loss: 1.0566 2022/07/24 14:15:01 - mmengine - INFO - Epoch(train) [82][3520/3757] lr: 1.0000e-04 eta: 12:34:28 time: 0.7015 data_time: 0.0227 memory: 17350 grad_norm: 8.8719 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0836 loss: 1.0836 2022/07/24 14:15:14 - mmengine - INFO - Epoch(train) [82][3540/3757] lr: 1.0000e-04 eta: 12:34:14 time: 0.6455 data_time: 0.0233 memory: 17350 grad_norm: 8.5299 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9916 loss: 0.9916 2022/07/24 14:15:29 - mmengine - INFO - Epoch(train) [82][3560/3757] lr: 1.0000e-04 eta: 12:34:01 time: 0.7375 data_time: 0.0212 memory: 17350 grad_norm: 8.7107 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0736 loss: 1.0736 2022/07/24 14:15:41 - mmengine - INFO - Epoch(train) [82][3580/3757] lr: 1.0000e-04 eta: 12:33:48 time: 0.5867 data_time: 0.0232 memory: 17350 grad_norm: 8.6351 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.0507 loss: 1.0507 2022/07/24 14:15:56 - mmengine - INFO - Epoch(train) [82][3600/3757] lr: 1.0000e-04 eta: 12:33:35 time: 0.7650 data_time: 0.0216 memory: 17350 grad_norm: 8.4925 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0611 loss: 1.0611 2022/07/24 14:16:08 - mmengine - INFO - Epoch(train) [82][3620/3757] lr: 1.0000e-04 eta: 12:33:21 time: 0.5831 data_time: 0.0251 memory: 17350 grad_norm: 9.0348 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9606 loss: 0.9606 2022/07/24 14:16:23 - mmengine - INFO - Epoch(train) [82][3640/3757] lr: 1.0000e-04 eta: 12:33:08 time: 0.7423 data_time: 0.0221 memory: 17350 grad_norm: 8.4853 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0436 loss: 1.0436 2022/07/24 14:16:34 - mmengine - INFO - Epoch(train) [82][3660/3757] lr: 1.0000e-04 eta: 12:32:54 time: 0.5787 data_time: 0.0233 memory: 17350 grad_norm: 8.3085 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8014 loss: 0.8014 2022/07/24 14:16:48 - mmengine - INFO - Epoch(train) [82][3680/3757] lr: 1.0000e-04 eta: 12:32:41 time: 0.7054 data_time: 0.0223 memory: 17350 grad_norm: 8.5614 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9685 loss: 0.9685 2022/07/24 14:16:50 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 14:17:01 - mmengine - INFO - Epoch(train) [82][3700/3757] lr: 1.0000e-04 eta: 12:32:28 time: 0.6094 data_time: 0.0248 memory: 17350 grad_norm: 8.3842 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0929 loss: 1.0929 2022/07/24 14:17:15 - mmengine - INFO - Epoch(train) [82][3720/3757] lr: 1.0000e-04 eta: 12:32:14 time: 0.7120 data_time: 0.0221 memory: 17350 grad_norm: 8.6302 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8365 loss: 0.8365 2022/07/24 14:17:27 - mmengine - INFO - Epoch(train) [82][3740/3757] lr: 1.0000e-04 eta: 12:32:01 time: 0.5908 data_time: 0.0244 memory: 17350 grad_norm: 8.7789 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9015 loss: 0.9015 2022/07/24 14:17:36 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 14:17:36 - mmengine - INFO - Epoch(train) [82][3757/3757] lr: 1.0000e-04 eta: 12:32:01 time: 0.5108 data_time: 0.0232 memory: 17350 grad_norm: 8.5988 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9506 loss: 0.9506 2022/07/24 14:17:53 - mmengine - INFO - Epoch(val) [82][20/310] eta: 0:04:02 time: 0.8376 data_time: 0.7234 memory: 3406 2022/07/24 14:18:04 - mmengine - INFO - Epoch(val) [82][40/310] eta: 0:02:29 time: 0.5535 data_time: 0.4406 memory: 3406 2022/07/24 14:18:18 - mmengine - INFO - Epoch(val) [82][60/310] eta: 0:03:02 time: 0.7305 data_time: 0.6154 memory: 3406 2022/07/24 14:18:31 - mmengine - INFO - Epoch(val) [82][80/310] eta: 0:02:23 time: 0.6244 data_time: 0.5114 memory: 3406 2022/07/24 14:18:44 - mmengine - INFO - Epoch(val) [82][100/310] eta: 0:02:21 time: 0.6719 data_time: 0.5538 memory: 3406 2022/07/24 14:18:57 - mmengine - INFO - Epoch(val) [82][120/310] eta: 0:01:58 time: 0.6257 data_time: 0.5105 memory: 3406 2022/07/24 14:19:11 - mmengine - INFO - Epoch(val) [82][140/310] eta: 0:01:57 time: 0.6929 data_time: 0.5810 memory: 3406 2022/07/24 14:19:24 - mmengine - INFO - Epoch(val) [82][160/310] eta: 0:01:38 time: 0.6567 data_time: 0.5430 memory: 3406 2022/07/24 14:19:37 - mmengine - INFO - Epoch(val) [82][180/310] eta: 0:01:27 time: 0.6708 data_time: 0.5554 memory: 3406 2022/07/24 14:19:50 - mmengine - INFO - Epoch(val) [82][200/310] eta: 0:01:09 time: 0.6309 data_time: 0.5162 memory: 3406 2022/07/24 14:20:04 - mmengine - INFO - Epoch(val) [82][220/310] eta: 0:01:04 time: 0.7194 data_time: 0.6029 memory: 3406 2022/07/24 14:20:16 - mmengine - INFO - Epoch(val) [82][240/310] eta: 0:00:40 time: 0.5800 data_time: 0.4637 memory: 3406 2022/07/24 14:20:30 - mmengine - INFO - Epoch(val) [82][260/310] eta: 0:00:36 time: 0.7383 data_time: 0.6238 memory: 3406 2022/07/24 14:20:42 - mmengine - INFO - Epoch(val) [82][280/310] eta: 0:00:17 time: 0.5747 data_time: 0.4618 memory: 3406 2022/07/24 14:20:56 - mmengine - INFO - Epoch(val) [82][300/310] eta: 0:00:07 time: 0.7163 data_time: 0.5965 memory: 3406 2022/07/24 14:21:02 - mmengine - INFO - Epoch(val) [82][310/310] acc/top1: 0.6873 acc/top5: 0.8771 acc/mean1: 0.6872 2022/07/24 14:21:20 - mmengine - INFO - Epoch(train) [83][20/3757] lr: 1.0000e-04 eta: 12:31:35 time: 0.8933 data_time: 0.5589 memory: 17350 grad_norm: 7.9993 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1065 loss: 1.1065 2022/07/24 14:21:32 - mmengine - INFO - Epoch(train) [83][40/3757] lr: 1.0000e-04 eta: 12:31:21 time: 0.6175 data_time: 0.2797 memory: 17350 grad_norm: 8.5418 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9286 loss: 0.9286 2022/07/24 14:21:47 - mmengine - INFO - Epoch(train) [83][60/3757] lr: 1.0000e-04 eta: 12:31:08 time: 0.7367 data_time: 0.3935 memory: 17350 grad_norm: 8.9809 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0394 loss: 1.0394 2022/07/24 14:21:59 - mmengine - INFO - Epoch(train) [83][80/3757] lr: 1.0000e-04 eta: 12:30:54 time: 0.6000 data_time: 0.2667 memory: 17350 grad_norm: 8.8341 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1363 loss: 1.1363 2022/07/24 14:22:14 - mmengine - INFO - Epoch(train) [83][100/3757] lr: 1.0000e-04 eta: 12:30:41 time: 0.7482 data_time: 0.4051 memory: 17350 grad_norm: 8.8749 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9958 loss: 0.9958 2022/07/24 14:22:26 - mmengine - INFO - Epoch(train) [83][120/3757] lr: 1.0000e-04 eta: 12:30:28 time: 0.5878 data_time: 0.2326 memory: 17350 grad_norm: 8.7518 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0386 loss: 1.0386 2022/07/24 14:22:40 - mmengine - INFO - Epoch(train) [83][140/3757] lr: 1.0000e-04 eta: 12:30:15 time: 0.7316 data_time: 0.3578 memory: 17350 grad_norm: 8.6667 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1072 loss: 1.1072 2022/07/24 14:22:53 - mmengine - INFO - Epoch(train) [83][160/3757] lr: 1.0000e-04 eta: 12:30:01 time: 0.6185 data_time: 0.2823 memory: 17350 grad_norm: 8.4640 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8724 loss: 0.8724 2022/07/24 14:23:08 - mmengine - INFO - Epoch(train) [83][180/3757] lr: 1.0000e-04 eta: 12:29:48 time: 0.7439 data_time: 0.4076 memory: 17350 grad_norm: 8.2720 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0273 loss: 1.0273 2022/07/24 14:23:20 - mmengine - INFO - Epoch(train) [83][200/3757] lr: 1.0000e-04 eta: 12:29:35 time: 0.6203 data_time: 0.2856 memory: 17350 grad_norm: 8.3394 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1131 loss: 1.1131 2022/07/24 14:23:34 - mmengine - INFO - Epoch(train) [83][220/3757] lr: 1.0000e-04 eta: 12:29:21 time: 0.7040 data_time: 0.3606 memory: 17350 grad_norm: 8.2643 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0547 loss: 1.0547 2022/07/24 14:23:46 - mmengine - INFO - Epoch(train) [83][240/3757] lr: 1.0000e-04 eta: 12:29:08 time: 0.6026 data_time: 0.2161 memory: 17350 grad_norm: 8.2934 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8736 loss: 0.8736 2022/07/24 14:24:01 - mmengine - INFO - Epoch(train) [83][260/3757] lr: 1.0000e-04 eta: 12:28:55 time: 0.7279 data_time: 0.1617 memory: 17350 grad_norm: 8.2476 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9007 loss: 0.9007 2022/07/24 14:24:13 - mmengine - INFO - Epoch(train) [83][280/3757] lr: 1.0000e-04 eta: 12:28:41 time: 0.5986 data_time: 0.1216 memory: 17350 grad_norm: 8.7640 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9678 loss: 0.9678 2022/07/24 14:24:27 - mmengine - INFO - Epoch(train) [83][300/3757] lr: 1.0000e-04 eta: 12:28:28 time: 0.7338 data_time: 0.1777 memory: 17350 grad_norm: 8.6225 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0278 loss: 1.0278 2022/07/24 14:24:39 - mmengine - INFO - Epoch(train) [83][320/3757] lr: 1.0000e-04 eta: 12:28:14 time: 0.5969 data_time: 0.1201 memory: 17350 grad_norm: 8.4135 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9740 loss: 0.9740 2022/07/24 14:24:55 - mmengine - INFO - Epoch(train) [83][340/3757] lr: 1.0000e-04 eta: 12:28:01 time: 0.7734 data_time: 0.1169 memory: 17350 grad_norm: 8.5766 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0407 loss: 1.0407 2022/07/24 14:25:07 - mmengine - INFO - Epoch(train) [83][360/3757] lr: 1.0000e-04 eta: 12:27:48 time: 0.6174 data_time: 0.0229 memory: 17350 grad_norm: 9.1463 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7058 loss: 0.7058 2022/07/24 14:25:21 - mmengine - INFO - Epoch(train) [83][380/3757] lr: 1.0000e-04 eta: 12:27:35 time: 0.7005 data_time: 0.0423 memory: 17350 grad_norm: 8.8561 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0075 loss: 1.0075 2022/07/24 14:25:33 - mmengine - INFO - Epoch(train) [83][400/3757] lr: 1.0000e-04 eta: 12:27:21 time: 0.5975 data_time: 0.0255 memory: 17350 grad_norm: 8.1918 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9663 loss: 0.9663 2022/07/24 14:25:47 - mmengine - INFO - Epoch(train) [83][420/3757] lr: 1.0000e-04 eta: 12:27:08 time: 0.6983 data_time: 0.0230 memory: 17350 grad_norm: 8.3256 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8876 loss: 0.8876 2022/07/24 14:26:00 - mmengine - INFO - Epoch(train) [83][440/3757] lr: 1.0000e-04 eta: 12:26:54 time: 0.6137 data_time: 0.0231 memory: 17350 grad_norm: 8.7466 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0488 loss: 1.0488 2022/07/24 14:26:14 - mmengine - INFO - Epoch(train) [83][460/3757] lr: 1.0000e-04 eta: 12:26:41 time: 0.7397 data_time: 0.0239 memory: 17350 grad_norm: 8.5559 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9348 loss: 0.9348 2022/07/24 14:26:27 - mmengine - INFO - Epoch(train) [83][480/3757] lr: 1.0000e-04 eta: 12:26:28 time: 0.6115 data_time: 0.0404 memory: 17350 grad_norm: 8.5416 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7870 loss: 0.7870 2022/07/24 14:26:41 - mmengine - INFO - Epoch(train) [83][500/3757] lr: 1.0000e-04 eta: 12:26:15 time: 0.7198 data_time: 0.0299 memory: 17350 grad_norm: 8.3243 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0657 loss: 1.0657 2022/07/24 14:26:53 - mmengine - INFO - Epoch(train) [83][520/3757] lr: 1.0000e-04 eta: 12:26:01 time: 0.6199 data_time: 0.0240 memory: 17350 grad_norm: 8.5090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9686 loss: 0.9686 2022/07/24 14:27:07 - mmengine - INFO - Epoch(train) [83][540/3757] lr: 1.0000e-04 eta: 12:25:48 time: 0.6985 data_time: 0.0816 memory: 17350 grad_norm: 8.1310 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9191 loss: 0.9191 2022/07/24 14:27:19 - mmengine - INFO - Epoch(train) [83][560/3757] lr: 1.0000e-04 eta: 12:25:34 time: 0.5548 data_time: 0.1179 memory: 17350 grad_norm: 8.3484 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2442 loss: 1.2442 2022/07/24 14:27:35 - mmengine - INFO - Epoch(train) [83][580/3757] lr: 1.0000e-04 eta: 12:25:21 time: 0.8241 data_time: 0.2157 memory: 17350 grad_norm: 8.4706 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8496 loss: 0.8496 2022/07/24 14:27:45 - mmengine - INFO - Epoch(train) [83][600/3757] lr: 1.0000e-04 eta: 12:25:07 time: 0.5208 data_time: 0.1014 memory: 17350 grad_norm: 8.9716 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9092 loss: 0.9092 2022/07/24 14:28:00 - mmengine - INFO - Epoch(train) [83][620/3757] lr: 1.0000e-04 eta: 12:24:54 time: 0.6994 data_time: 0.2568 memory: 17350 grad_norm: 9.0322 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0948 loss: 1.0948 2022/07/24 14:28:12 - mmengine - INFO - Epoch(train) [83][640/3757] lr: 1.0000e-04 eta: 12:24:41 time: 0.6277 data_time: 0.2142 memory: 17350 grad_norm: 8.5587 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0591 loss: 1.0591 2022/07/24 14:28:27 - mmengine - INFO - Epoch(train) [83][660/3757] lr: 1.0000e-04 eta: 12:24:28 time: 0.7302 data_time: 0.2871 memory: 17350 grad_norm: 8.3278 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8759 loss: 0.8759 2022/07/24 14:28:39 - mmengine - INFO - Epoch(train) [83][680/3757] lr: 1.0000e-04 eta: 12:24:14 time: 0.5997 data_time: 0.1531 memory: 17350 grad_norm: 8.5558 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0051 loss: 1.0051 2022/07/24 14:28:54 - mmengine - INFO - Epoch(train) [83][700/3757] lr: 1.0000e-04 eta: 12:24:01 time: 0.7439 data_time: 0.2027 memory: 17350 grad_norm: 8.6407 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8333 loss: 0.8333 2022/07/24 14:29:06 - mmengine - INFO - Epoch(train) [83][720/3757] lr: 1.0000e-04 eta: 12:23:47 time: 0.6105 data_time: 0.1024 memory: 17350 grad_norm: 8.3941 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0676 loss: 1.0676 2022/07/24 14:29:20 - mmengine - INFO - Epoch(train) [83][740/3757] lr: 1.0000e-04 eta: 12:23:34 time: 0.7188 data_time: 0.1987 memory: 17350 grad_norm: 8.5946 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1261 loss: 1.1261 2022/07/24 14:29:32 - mmengine - INFO - Epoch(train) [83][760/3757] lr: 1.0000e-04 eta: 12:23:21 time: 0.6026 data_time: 0.1328 memory: 17350 grad_norm: 8.4356 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1126 loss: 1.1126 2022/07/24 14:29:46 - mmengine - INFO - Epoch(train) [83][780/3757] lr: 1.0000e-04 eta: 12:23:07 time: 0.6752 data_time: 0.2246 memory: 17350 grad_norm: 8.6321 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8733 loss: 0.8733 2022/07/24 14:29:58 - mmengine - INFO - Epoch(train) [83][800/3757] lr: 1.0000e-04 eta: 12:22:54 time: 0.6229 data_time: 0.2861 memory: 17350 grad_norm: 8.4680 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0230 loss: 1.0230 2022/07/24 14:30:14 - mmengine - INFO - Epoch(train) [83][820/3757] lr: 1.0000e-04 eta: 12:22:41 time: 0.7673 data_time: 0.4249 memory: 17350 grad_norm: 8.6684 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9578 loss: 0.9578 2022/07/24 14:30:25 - mmengine - INFO - Epoch(train) [83][840/3757] lr: 1.0000e-04 eta: 12:22:27 time: 0.5894 data_time: 0.2517 memory: 17350 grad_norm: 8.3719 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0686 loss: 1.0686 2022/07/24 14:30:40 - mmengine - INFO - Epoch(train) [83][860/3757] lr: 1.0000e-04 eta: 12:22:14 time: 0.7274 data_time: 0.3581 memory: 17350 grad_norm: 8.2371 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8352 loss: 0.8352 2022/07/24 14:30:52 - mmengine - INFO - Epoch(train) [83][880/3757] lr: 1.0000e-04 eta: 12:22:00 time: 0.5854 data_time: 0.2472 memory: 17350 grad_norm: 8.5078 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9301 loss: 0.9301 2022/07/24 14:31:06 - mmengine - INFO - Epoch(train) [83][900/3757] lr: 1.0000e-04 eta: 12:21:47 time: 0.7275 data_time: 0.3727 memory: 17350 grad_norm: 8.7404 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1058 loss: 1.1058 2022/07/24 14:31:19 - mmengine - INFO - Epoch(train) [83][920/3757] lr: 1.0000e-04 eta: 12:21:34 time: 0.6137 data_time: 0.2774 memory: 17350 grad_norm: 8.6080 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9957 loss: 0.9957 2022/07/24 14:31:24 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 14:31:33 - mmengine - INFO - Epoch(train) [83][940/3757] lr: 1.0000e-04 eta: 12:21:21 time: 0.7416 data_time: 0.3954 memory: 17350 grad_norm: 8.4754 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9266 loss: 0.9266 2022/07/24 14:31:45 - mmengine - INFO - Epoch(train) [83][960/3757] lr: 1.0000e-04 eta: 12:21:07 time: 0.5851 data_time: 0.2474 memory: 17350 grad_norm: 8.8537 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3047 loss: 1.3047 2022/07/24 14:32:00 - mmengine - INFO - Epoch(train) [83][980/3757] lr: 1.0000e-04 eta: 12:20:54 time: 0.7329 data_time: 0.3940 memory: 17350 grad_norm: 8.6817 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2364 loss: 1.2364 2022/07/24 14:32:12 - mmengine - INFO - Epoch(train) [83][1000/3757] lr: 1.0000e-04 eta: 12:20:40 time: 0.5850 data_time: 0.2446 memory: 17350 grad_norm: 8.5938 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0823 loss: 1.0823 2022/07/24 14:32:27 - mmengine - INFO - Epoch(train) [83][1020/3757] lr: 1.0000e-04 eta: 12:20:27 time: 0.7480 data_time: 0.3883 memory: 17350 grad_norm: 8.7286 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9753 loss: 0.9753 2022/07/24 14:32:38 - mmengine - INFO - Epoch(train) [83][1040/3757] lr: 1.0000e-04 eta: 12:20:14 time: 0.5641 data_time: 0.2074 memory: 17350 grad_norm: 8.6597 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9923 loss: 0.9923 2022/07/24 14:32:52 - mmengine - INFO - Epoch(train) [83][1060/3757] lr: 1.0000e-04 eta: 12:20:00 time: 0.7223 data_time: 0.2759 memory: 17350 grad_norm: 8.7235 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0294 loss: 1.0294 2022/07/24 14:33:05 - mmengine - INFO - Epoch(train) [83][1080/3757] lr: 1.0000e-04 eta: 12:19:47 time: 0.6303 data_time: 0.1813 memory: 17350 grad_norm: 8.4967 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0032 loss: 1.0032 2022/07/24 14:33:19 - mmengine - INFO - Epoch(train) [83][1100/3757] lr: 1.0000e-04 eta: 12:19:34 time: 0.7082 data_time: 0.1495 memory: 17350 grad_norm: 8.1551 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0059 loss: 1.0059 2022/07/24 14:33:31 - mmengine - INFO - Epoch(train) [83][1120/3757] lr: 1.0000e-04 eta: 12:19:20 time: 0.6081 data_time: 0.1240 memory: 17350 grad_norm: 8.6722 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2936 loss: 1.2936 2022/07/24 14:33:46 - mmengine - INFO - Epoch(train) [83][1140/3757] lr: 1.0000e-04 eta: 12:19:07 time: 0.7330 data_time: 0.2008 memory: 17350 grad_norm: 8.6222 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0384 loss: 1.0384 2022/07/24 14:33:57 - mmengine - INFO - Epoch(train) [83][1160/3757] lr: 1.0000e-04 eta: 12:18:53 time: 0.5560 data_time: 0.2108 memory: 17350 grad_norm: 8.5644 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0658 loss: 1.0658 2022/07/24 14:34:12 - mmengine - INFO - Epoch(train) [83][1180/3757] lr: 1.0000e-04 eta: 12:18:40 time: 0.7642 data_time: 0.4250 memory: 17350 grad_norm: 8.0695 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.8953 loss: 0.8953 2022/07/24 14:34:24 - mmengine - INFO - Epoch(train) [83][1200/3757] lr: 1.0000e-04 eta: 12:18:27 time: 0.5862 data_time: 0.2456 memory: 17350 grad_norm: 8.7846 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1914 loss: 1.1914 2022/07/24 14:34:39 - mmengine - INFO - Epoch(train) [83][1220/3757] lr: 1.0000e-04 eta: 12:18:14 time: 0.7241 data_time: 0.3835 memory: 17350 grad_norm: 8.7547 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9881 loss: 0.9881 2022/07/24 14:34:51 - mmengine - INFO - Epoch(train) [83][1240/3757] lr: 1.0000e-04 eta: 12:18:00 time: 0.6064 data_time: 0.2193 memory: 17350 grad_norm: 8.2336 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9433 loss: 0.9433 2022/07/24 14:35:05 - mmengine - INFO - Epoch(train) [83][1260/3757] lr: 1.0000e-04 eta: 12:17:47 time: 0.7242 data_time: 0.2402 memory: 17350 grad_norm: 8.8126 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7756 loss: 0.7756 2022/07/24 14:35:18 - mmengine - INFO - Epoch(train) [83][1280/3757] lr: 1.0000e-04 eta: 12:17:33 time: 0.6142 data_time: 0.1913 memory: 17350 grad_norm: 8.8899 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9988 loss: 0.9988 2022/07/24 14:35:32 - mmengine - INFO - Epoch(train) [83][1300/3757] lr: 1.0000e-04 eta: 12:17:20 time: 0.7140 data_time: 0.3167 memory: 17350 grad_norm: 8.2415 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0966 loss: 1.0966 2022/07/24 14:35:44 - mmengine - INFO - Epoch(train) [83][1320/3757] lr: 1.0000e-04 eta: 12:17:06 time: 0.5812 data_time: 0.2244 memory: 17350 grad_norm: 8.5393 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0476 loss: 1.0476 2022/07/24 14:35:58 - mmengine - INFO - Epoch(train) [83][1340/3757] lr: 1.0000e-04 eta: 12:16:53 time: 0.7256 data_time: 0.3433 memory: 17350 grad_norm: 8.3325 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9717 loss: 0.9717 2022/07/24 14:36:10 - mmengine - INFO - Epoch(train) [83][1360/3757] lr: 1.0000e-04 eta: 12:16:40 time: 0.6029 data_time: 0.2029 memory: 17350 grad_norm: 9.0295 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.8319 loss: 0.8319 2022/07/24 14:36:25 - mmengine - INFO - Epoch(train) [83][1380/3757] lr: 1.0000e-04 eta: 12:16:27 time: 0.7241 data_time: 0.3541 memory: 17350 grad_norm: 8.5099 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8487 loss: 0.8487 2022/07/24 14:36:37 - mmengine - INFO - Epoch(train) [83][1400/3757] lr: 1.0000e-04 eta: 12:16:13 time: 0.6202 data_time: 0.2784 memory: 17350 grad_norm: 8.6416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9555 loss: 0.9555 2022/07/24 14:36:52 - mmengine - INFO - Epoch(train) [83][1420/3757] lr: 1.0000e-04 eta: 12:16:00 time: 0.7451 data_time: 0.3136 memory: 17350 grad_norm: 8.6023 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1093 loss: 1.1093 2022/07/24 14:37:03 - mmengine - INFO - Epoch(train) [83][1440/3757] lr: 1.0000e-04 eta: 12:15:46 time: 0.5670 data_time: 0.1673 memory: 17350 grad_norm: 8.5901 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9102 loss: 0.9102 2022/07/24 14:37:18 - mmengine - INFO - Epoch(train) [83][1460/3757] lr: 1.0000e-04 eta: 12:15:33 time: 0.7256 data_time: 0.3014 memory: 17350 grad_norm: 8.5875 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7654 loss: 0.7654 2022/07/24 14:37:30 - mmengine - INFO - Epoch(train) [83][1480/3757] lr: 1.0000e-04 eta: 12:15:20 time: 0.6080 data_time: 0.1818 memory: 17350 grad_norm: 8.5141 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1336 loss: 1.1336 2022/07/24 14:37:45 - mmengine - INFO - Epoch(train) [83][1500/3757] lr: 1.0000e-04 eta: 12:15:07 time: 0.7270 data_time: 0.1798 memory: 17350 grad_norm: 8.5458 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9649 loss: 0.9649 2022/07/24 14:37:57 - mmengine - INFO - Epoch(train) [83][1520/3757] lr: 1.0000e-04 eta: 12:14:53 time: 0.6224 data_time: 0.1323 memory: 17350 grad_norm: 8.4550 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3540 loss: 1.3540 2022/07/24 14:38:12 - mmengine - INFO - Epoch(train) [83][1540/3757] lr: 1.0000e-04 eta: 12:14:40 time: 0.7393 data_time: 0.2585 memory: 17350 grad_norm: 8.6428 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8207 loss: 0.8207 2022/07/24 14:38:23 - mmengine - INFO - Epoch(train) [83][1560/3757] lr: 1.0000e-04 eta: 12:14:26 time: 0.5735 data_time: 0.1586 memory: 17350 grad_norm: 8.6664 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1677 loss: 1.1677 2022/07/24 14:38:38 - mmengine - INFO - Epoch(train) [83][1580/3757] lr: 1.0000e-04 eta: 12:14:13 time: 0.7106 data_time: 0.3648 memory: 17350 grad_norm: 8.7820 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8449 loss: 0.8449 2022/07/24 14:38:50 - mmengine - INFO - Epoch(train) [83][1600/3757] lr: 1.0000e-04 eta: 12:14:00 time: 0.6258 data_time: 0.2396 memory: 17350 grad_norm: 8.4089 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1313 loss: 1.1313 2022/07/24 14:39:04 - mmengine - INFO - Epoch(train) [83][1620/3757] lr: 1.0000e-04 eta: 12:13:46 time: 0.6874 data_time: 0.3216 memory: 17350 grad_norm: 8.4852 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8770 loss: 0.8770 2022/07/24 14:39:17 - mmengine - INFO - Epoch(train) [83][1640/3757] lr: 1.0000e-04 eta: 12:13:33 time: 0.6394 data_time: 0.1782 memory: 17350 grad_norm: 8.5048 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8542 loss: 0.8542 2022/07/24 14:39:31 - mmengine - INFO - Epoch(train) [83][1660/3757] lr: 1.0000e-04 eta: 12:13:20 time: 0.7344 data_time: 0.2058 memory: 17350 grad_norm: 8.4240 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9020 loss: 0.9020 2022/07/24 14:39:43 - mmengine - INFO - Epoch(train) [83][1680/3757] lr: 1.0000e-04 eta: 12:13:06 time: 0.5816 data_time: 0.1227 memory: 17350 grad_norm: 8.5834 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0810 loss: 1.0810 2022/07/24 14:39:58 - mmengine - INFO - Epoch(train) [83][1700/3757] lr: 1.0000e-04 eta: 12:12:53 time: 0.7391 data_time: 0.1235 memory: 17350 grad_norm: 8.5097 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0706 loss: 1.0706 2022/07/24 14:40:11 - mmengine - INFO - Epoch(train) [83][1720/3757] lr: 1.0000e-04 eta: 12:12:40 time: 0.6422 data_time: 0.0259 memory: 17350 grad_norm: 8.8554 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0092 loss: 1.0092 2022/07/24 14:40:25 - mmengine - INFO - Epoch(train) [83][1740/3757] lr: 1.0000e-04 eta: 12:12:26 time: 0.6999 data_time: 0.0493 memory: 17350 grad_norm: 8.6497 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9467 loss: 0.9467 2022/07/24 14:40:37 - mmengine - INFO - Epoch(train) [83][1760/3757] lr: 1.0000e-04 eta: 12:12:13 time: 0.6196 data_time: 0.0704 memory: 17350 grad_norm: 8.4690 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9670 loss: 0.9670 2022/07/24 14:40:51 - mmengine - INFO - Epoch(train) [83][1780/3757] lr: 1.0000e-04 eta: 12:12:00 time: 0.6716 data_time: 0.1520 memory: 17350 grad_norm: 8.3162 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0863 loss: 1.0863 2022/07/24 14:41:03 - mmengine - INFO - Epoch(train) [83][1800/3757] lr: 1.0000e-04 eta: 12:11:46 time: 0.6175 data_time: 0.1621 memory: 17350 grad_norm: 8.7348 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1358 loss: 1.1358 2022/07/24 14:41:18 - mmengine - INFO - Epoch(train) [83][1820/3757] lr: 1.0000e-04 eta: 12:11:33 time: 0.7240 data_time: 0.2617 memory: 17350 grad_norm: 8.9030 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9943 loss: 0.9943 2022/07/24 14:41:30 - mmengine - INFO - Epoch(train) [83][1840/3757] lr: 1.0000e-04 eta: 12:11:19 time: 0.6234 data_time: 0.1935 memory: 17350 grad_norm: 8.3835 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9668 loss: 0.9668 2022/07/24 14:41:44 - mmengine - INFO - Epoch(train) [83][1860/3757] lr: 1.0000e-04 eta: 12:11:06 time: 0.6986 data_time: 0.2060 memory: 17350 grad_norm: 8.5088 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7071 loss: 0.7071 2022/07/24 14:41:57 - mmengine - INFO - Epoch(train) [83][1880/3757] lr: 1.0000e-04 eta: 12:10:53 time: 0.6478 data_time: 0.0927 memory: 17350 grad_norm: 8.4221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2320 loss: 1.2320 2022/07/24 14:42:11 - mmengine - INFO - Epoch(train) [83][1900/3757] lr: 1.0000e-04 eta: 12:10:40 time: 0.6791 data_time: 0.1303 memory: 17350 grad_norm: 8.5652 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 0.9611 loss: 0.9611 2022/07/24 14:42:24 - mmengine - INFO - Epoch(train) [83][1920/3757] lr: 1.0000e-04 eta: 12:10:26 time: 0.6679 data_time: 0.0876 memory: 17350 grad_norm: 8.8865 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0939 loss: 1.0939 2022/07/24 14:42:27 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 14:42:38 - mmengine - INFO - Epoch(train) [83][1940/3757] lr: 1.0000e-04 eta: 12:10:13 time: 0.6838 data_time: 0.1809 memory: 17350 grad_norm: 8.4453 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9602 loss: 0.9602 2022/07/24 14:42:49 - mmengine - INFO - Epoch(train) [83][1960/3757] lr: 1.0000e-04 eta: 12:09:59 time: 0.5829 data_time: 0.1598 memory: 17350 grad_norm: 8.4963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9846 loss: 0.9846 2022/07/24 14:43:03 - mmengine - INFO - Epoch(train) [83][1980/3757] lr: 1.0000e-04 eta: 12:09:46 time: 0.7079 data_time: 0.1676 memory: 17350 grad_norm: 8.6784 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7473 loss: 0.7473 2022/07/24 14:43:16 - mmengine - INFO - Epoch(train) [83][2000/3757] lr: 1.0000e-04 eta: 12:09:32 time: 0.6041 data_time: 0.1605 memory: 17350 grad_norm: 8.2520 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2055 loss: 1.2055 2022/07/24 14:43:30 - mmengine - INFO - Epoch(train) [83][2020/3757] lr: 1.0000e-04 eta: 12:09:19 time: 0.6995 data_time: 0.2607 memory: 17350 grad_norm: 8.4203 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8618 loss: 0.8618 2022/07/24 14:43:42 - mmengine - INFO - Epoch(train) [83][2040/3757] lr: 1.0000e-04 eta: 12:09:06 time: 0.6309 data_time: 0.1996 memory: 17350 grad_norm: 8.8849 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2286 loss: 1.2286 2022/07/24 14:43:57 - mmengine - INFO - Epoch(train) [83][2060/3757] lr: 1.0000e-04 eta: 12:08:53 time: 0.7146 data_time: 0.2108 memory: 17350 grad_norm: 8.7389 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8863 loss: 0.8863 2022/07/24 14:44:09 - mmengine - INFO - Epoch(train) [83][2080/3757] lr: 1.0000e-04 eta: 12:08:39 time: 0.6397 data_time: 0.2112 memory: 17350 grad_norm: 8.7836 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0558 loss: 1.0558 2022/07/24 14:44:23 - mmengine - INFO - Epoch(train) [83][2100/3757] lr: 1.0000e-04 eta: 12:08:26 time: 0.6652 data_time: 0.1674 memory: 17350 grad_norm: 8.3260 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8866 loss: 0.8866 2022/07/24 14:44:36 - mmengine - INFO - Epoch(train) [83][2120/3757] lr: 1.0000e-04 eta: 12:08:12 time: 0.6692 data_time: 0.2234 memory: 17350 grad_norm: 8.7630 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1310 loss: 1.1310 2022/07/24 14:44:49 - mmengine - INFO - Epoch(train) [83][2140/3757] lr: 1.0000e-04 eta: 12:07:59 time: 0.6656 data_time: 0.2265 memory: 17350 grad_norm: 8.7860 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0845 loss: 1.0845 2022/07/24 14:45:02 - mmengine - INFO - Epoch(train) [83][2160/3757] lr: 1.0000e-04 eta: 12:07:46 time: 0.6403 data_time: 0.2179 memory: 17350 grad_norm: 8.8244 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1839 loss: 1.1839 2022/07/24 14:45:17 - mmengine - INFO - Epoch(train) [83][2180/3757] lr: 1.0000e-04 eta: 12:07:33 time: 0.7364 data_time: 0.3041 memory: 17350 grad_norm: 8.5235 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2588 loss: 1.2588 2022/07/24 14:45:29 - mmengine - INFO - Epoch(train) [83][2200/3757] lr: 1.0000e-04 eta: 12:07:19 time: 0.5965 data_time: 0.1702 memory: 17350 grad_norm: 8.4855 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9634 loss: 0.9634 2022/07/24 14:45:43 - mmengine - INFO - Epoch(train) [83][2220/3757] lr: 1.0000e-04 eta: 12:07:06 time: 0.7123 data_time: 0.2503 memory: 17350 grad_norm: 7.8440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0140 loss: 1.0140 2022/07/24 14:45:55 - mmengine - INFO - Epoch(train) [83][2240/3757] lr: 1.0000e-04 eta: 12:06:52 time: 0.6028 data_time: 0.2264 memory: 17350 grad_norm: 8.8601 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2344 loss: 1.2344 2022/07/24 14:46:10 - mmengine - INFO - Epoch(train) [83][2260/3757] lr: 1.0000e-04 eta: 12:06:39 time: 0.7337 data_time: 0.3947 memory: 17350 grad_norm: 8.2832 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2912 loss: 1.2912 2022/07/24 14:46:22 - mmengine - INFO - Epoch(train) [83][2280/3757] lr: 1.0000e-04 eta: 12:06:26 time: 0.6230 data_time: 0.2897 memory: 17350 grad_norm: 8.8432 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8981 loss: 0.8981 2022/07/24 14:46:37 - mmengine - INFO - Epoch(train) [83][2300/3757] lr: 1.0000e-04 eta: 12:06:13 time: 0.7457 data_time: 0.4061 memory: 17350 grad_norm: 8.4969 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8357 loss: 0.8357 2022/07/24 14:46:49 - mmengine - INFO - Epoch(train) [83][2320/3757] lr: 1.0000e-04 eta: 12:05:59 time: 0.5877 data_time: 0.2478 memory: 17350 grad_norm: 9.1178 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2241 loss: 1.2241 2022/07/24 14:47:04 - mmengine - INFO - Epoch(train) [83][2340/3757] lr: 1.0000e-04 eta: 12:05:46 time: 0.7357 data_time: 0.4011 memory: 17350 grad_norm: 8.7328 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9124 loss: 0.9124 2022/07/24 14:47:16 - mmengine - INFO - Epoch(train) [83][2360/3757] lr: 1.0000e-04 eta: 12:05:32 time: 0.6178 data_time: 0.2738 memory: 17350 grad_norm: 8.4932 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0709 loss: 1.0709 2022/07/24 14:47:30 - mmengine - INFO - Epoch(train) [83][2380/3757] lr: 1.0000e-04 eta: 12:05:19 time: 0.7058 data_time: 0.3646 memory: 17350 grad_norm: 8.5380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0459 loss: 1.0459 2022/07/24 14:47:42 - mmengine - INFO - Epoch(train) [83][2400/3757] lr: 1.0000e-04 eta: 12:05:05 time: 0.5738 data_time: 0.2310 memory: 17350 grad_norm: 8.5374 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0597 loss: 1.0597 2022/07/24 14:47:57 - mmengine - INFO - Epoch(train) [83][2420/3757] lr: 1.0000e-04 eta: 12:04:52 time: 0.7395 data_time: 0.4004 memory: 17350 grad_norm: 8.7966 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2234 loss: 1.2234 2022/07/24 14:48:09 - mmengine - INFO - Epoch(train) [83][2440/3757] lr: 1.0000e-04 eta: 12:04:39 time: 0.6023 data_time: 0.2647 memory: 17350 grad_norm: 9.1282 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0473 loss: 1.0473 2022/07/24 14:48:24 - mmengine - INFO - Epoch(train) [83][2460/3757] lr: 1.0000e-04 eta: 12:04:26 time: 0.7414 data_time: 0.4037 memory: 17350 grad_norm: 9.2028 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9605 loss: 0.9605 2022/07/24 14:48:35 - mmengine - INFO - Epoch(train) [83][2480/3757] lr: 1.0000e-04 eta: 12:04:12 time: 0.5771 data_time: 0.2363 memory: 17350 grad_norm: 8.3002 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9336 loss: 0.9336 2022/07/24 14:48:50 - mmengine - INFO - Epoch(train) [83][2500/3757] lr: 1.0000e-04 eta: 12:03:59 time: 0.7222 data_time: 0.3804 memory: 17350 grad_norm: 8.4942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8217 loss: 0.8217 2022/07/24 14:49:02 - mmengine - INFO - Epoch(train) [83][2520/3757] lr: 1.0000e-04 eta: 12:03:45 time: 0.6014 data_time: 0.2718 memory: 17350 grad_norm: 8.7622 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0156 loss: 1.0156 2022/07/24 14:49:16 - mmengine - INFO - Epoch(train) [83][2540/3757] lr: 1.0000e-04 eta: 12:03:32 time: 0.7194 data_time: 0.3814 memory: 17350 grad_norm: 8.8422 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1400 loss: 1.1400 2022/07/24 14:49:29 - mmengine - INFO - Epoch(train) [83][2560/3757] lr: 1.0000e-04 eta: 12:03:19 time: 0.6314 data_time: 0.2798 memory: 17350 grad_norm: 8.8255 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2237 loss: 1.2237 2022/07/24 14:49:43 - mmengine - INFO - Epoch(train) [83][2580/3757] lr: 1.0000e-04 eta: 12:03:06 time: 0.6913 data_time: 0.3499 memory: 17350 grad_norm: 8.7276 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9970 loss: 0.9970 2022/07/24 14:49:54 - mmengine - INFO - Epoch(train) [83][2600/3757] lr: 1.0000e-04 eta: 12:02:52 time: 0.5920 data_time: 0.2481 memory: 17350 grad_norm: 8.7033 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9288 loss: 0.9288 2022/07/24 14:50:09 - mmengine - INFO - Epoch(train) [83][2620/3757] lr: 1.0000e-04 eta: 12:02:39 time: 0.7212 data_time: 0.2661 memory: 17350 grad_norm: 8.3518 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1865 loss: 1.1865 2022/07/24 14:50:23 - mmengine - INFO - Epoch(train) [83][2640/3757] lr: 1.0000e-04 eta: 12:02:26 time: 0.7187 data_time: 0.1267 memory: 17350 grad_norm: 8.8828 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1769 loss: 1.1769 2022/07/24 14:50:35 - mmengine - INFO - Epoch(train) [83][2660/3757] lr: 1.0000e-04 eta: 12:02:12 time: 0.5981 data_time: 0.0606 memory: 17350 grad_norm: 8.8112 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1397 loss: 1.1397 2022/07/24 14:50:50 - mmengine - INFO - Epoch(train) [83][2680/3757] lr: 1.0000e-04 eta: 12:01:59 time: 0.7490 data_time: 0.0441 memory: 17350 grad_norm: 8.5410 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9600 loss: 0.9600 2022/07/24 14:51:03 - mmengine - INFO - Epoch(train) [83][2700/3757] lr: 1.0000e-04 eta: 12:01:46 time: 0.6340 data_time: 0.0245 memory: 17350 grad_norm: 9.0179 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9374 loss: 0.9374 2022/07/24 14:51:17 - mmengine - INFO - Epoch(train) [83][2720/3757] lr: 1.0000e-04 eta: 12:01:32 time: 0.6784 data_time: 0.0224 memory: 17350 grad_norm: 8.2011 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8576 loss: 0.8576 2022/07/24 14:51:29 - mmengine - INFO - Epoch(train) [83][2740/3757] lr: 1.0000e-04 eta: 12:01:19 time: 0.6142 data_time: 0.0222 memory: 17350 grad_norm: 8.5385 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9090 loss: 0.9090 2022/07/24 14:51:44 - mmengine - INFO - Epoch(train) [83][2760/3757] lr: 1.0000e-04 eta: 12:01:06 time: 0.7564 data_time: 0.0788 memory: 17350 grad_norm: 8.4095 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8261 loss: 0.8261 2022/07/24 14:51:56 - mmengine - INFO - Epoch(train) [83][2780/3757] lr: 1.0000e-04 eta: 12:00:52 time: 0.5814 data_time: 0.0242 memory: 17350 grad_norm: 8.6499 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1872 loss: 1.1872 2022/07/24 14:52:11 - mmengine - INFO - Epoch(train) [83][2800/3757] lr: 1.0000e-04 eta: 12:00:39 time: 0.7556 data_time: 0.0247 memory: 17350 grad_norm: 8.5678 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9540 loss: 0.9540 2022/07/24 14:52:22 - mmengine - INFO - Epoch(train) [83][2820/3757] lr: 1.0000e-04 eta: 12:00:25 time: 0.5696 data_time: 0.0227 memory: 17350 grad_norm: 8.2709 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0182 loss: 1.0182 2022/07/24 14:52:37 - mmengine - INFO - Epoch(train) [83][2840/3757] lr: 1.0000e-04 eta: 12:00:12 time: 0.7190 data_time: 0.0230 memory: 17350 grad_norm: 8.9237 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9995 loss: 0.9995 2022/07/24 14:52:48 - mmengine - INFO - Epoch(train) [83][2860/3757] lr: 1.0000e-04 eta: 11:59:58 time: 0.5780 data_time: 0.0396 memory: 17350 grad_norm: 8.6961 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0363 loss: 1.0363 2022/07/24 14:53:02 - mmengine - INFO - Epoch(train) [83][2880/3757] lr: 1.0000e-04 eta: 11:59:45 time: 0.7022 data_time: 0.0953 memory: 17350 grad_norm: 8.6944 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8305 loss: 0.8305 2022/07/24 14:53:14 - mmengine - INFO - Epoch(train) [83][2900/3757] lr: 1.0000e-04 eta: 11:59:32 time: 0.5903 data_time: 0.1040 memory: 17350 grad_norm: 8.4836 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7415 loss: 0.7415 2022/07/24 14:53:28 - mmengine - INFO - Epoch(train) [83][2920/3757] lr: 1.0000e-04 eta: 11:59:18 time: 0.7150 data_time: 0.1469 memory: 17350 grad_norm: 8.4939 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9823 loss: 0.9823 2022/07/24 14:53:31 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 14:53:40 - mmengine - INFO - Epoch(train) [83][2940/3757] lr: 1.0000e-04 eta: 11:59:05 time: 0.5905 data_time: 0.1550 memory: 17350 grad_norm: 8.8247 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9332 loss: 0.9332 2022/07/24 14:53:54 - mmengine - INFO - Epoch(train) [83][2960/3757] lr: 1.0000e-04 eta: 11:58:52 time: 0.7139 data_time: 0.2541 memory: 17350 grad_norm: 8.5336 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6693 loss: 0.6693 2022/07/24 14:54:07 - mmengine - INFO - Epoch(train) [83][2980/3757] lr: 1.0000e-04 eta: 11:58:38 time: 0.6342 data_time: 0.1896 memory: 17350 grad_norm: 8.7959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1997 loss: 1.1997 2022/07/24 14:54:23 - mmengine - INFO - Epoch(train) [83][3000/3757] lr: 1.0000e-04 eta: 11:58:25 time: 0.7779 data_time: 0.1567 memory: 17350 grad_norm: 8.8726 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2473 loss: 1.2473 2022/07/24 14:54:35 - mmengine - INFO - Epoch(train) [83][3020/3757] lr: 1.0000e-04 eta: 11:58:12 time: 0.5968 data_time: 0.0657 memory: 17350 grad_norm: 8.5287 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9713 loss: 0.9713 2022/07/24 14:54:49 - mmengine - INFO - Epoch(train) [83][3040/3757] lr: 1.0000e-04 eta: 11:57:59 time: 0.7263 data_time: 0.0468 memory: 17350 grad_norm: 8.6746 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9418 loss: 0.9418 2022/07/24 14:55:01 - mmengine - INFO - Epoch(train) [83][3060/3757] lr: 1.0000e-04 eta: 11:57:45 time: 0.6024 data_time: 0.1798 memory: 17350 grad_norm: 8.6275 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1193 loss: 1.1193 2022/07/24 14:55:15 - mmengine - INFO - Epoch(train) [83][3080/3757] lr: 1.0000e-04 eta: 11:57:32 time: 0.6612 data_time: 0.2623 memory: 17350 grad_norm: 8.4635 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8395 loss: 0.8395 2022/07/24 14:55:28 - mmengine - INFO - Epoch(train) [83][3100/3757] lr: 1.0000e-04 eta: 11:57:18 time: 0.6548 data_time: 0.3161 memory: 17350 grad_norm: 8.2181 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8263 loss: 0.8263 2022/07/24 14:55:40 - mmengine - INFO - Epoch(train) [83][3120/3757] lr: 1.0000e-04 eta: 11:57:05 time: 0.5916 data_time: 0.2535 memory: 17350 grad_norm: 8.6559 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1627 loss: 1.1627 2022/07/24 14:55:54 - mmengine - INFO - Epoch(train) [83][3140/3757] lr: 1.0000e-04 eta: 11:56:51 time: 0.7245 data_time: 0.3831 memory: 17350 grad_norm: 8.6583 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9313 loss: 0.9313 2022/07/24 14:56:07 - mmengine - INFO - Epoch(train) [83][3160/3757] lr: 1.0000e-04 eta: 11:56:38 time: 0.6271 data_time: 0.2780 memory: 17350 grad_norm: 8.6287 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1153 loss: 1.1153 2022/07/24 14:56:20 - mmengine - INFO - Epoch(train) [83][3180/3757] lr: 1.0000e-04 eta: 11:56:25 time: 0.6847 data_time: 0.3491 memory: 17350 grad_norm: 8.6019 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9684 loss: 0.9684 2022/07/24 14:56:33 - mmengine - INFO - Epoch(train) [83][3200/3757] lr: 1.0000e-04 eta: 11:56:11 time: 0.6260 data_time: 0.2406 memory: 17350 grad_norm: 8.3892 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8319 loss: 0.8319 2022/07/24 14:56:48 - mmengine - INFO - Epoch(train) [83][3220/3757] lr: 1.0000e-04 eta: 11:55:58 time: 0.7361 data_time: 0.3348 memory: 17350 grad_norm: 8.7345 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1034 loss: 1.1034 2022/07/24 14:57:00 - mmengine - INFO - Epoch(train) [83][3240/3757] lr: 1.0000e-04 eta: 11:55:45 time: 0.6056 data_time: 0.2256 memory: 17350 grad_norm: 8.5601 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4136 loss: 1.4136 2022/07/24 14:57:14 - mmengine - INFO - Epoch(train) [83][3260/3757] lr: 1.0000e-04 eta: 11:55:31 time: 0.7225 data_time: 0.2872 memory: 17350 grad_norm: 8.5846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8266 loss: 0.8266 2022/07/24 14:57:26 - mmengine - INFO - Epoch(train) [83][3280/3757] lr: 1.0000e-04 eta: 11:55:18 time: 0.5739 data_time: 0.2331 memory: 17350 grad_norm: 8.3361 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0252 loss: 1.0252 2022/07/24 14:57:40 - mmengine - INFO - Epoch(train) [83][3300/3757] lr: 1.0000e-04 eta: 11:55:05 time: 0.7104 data_time: 0.3733 memory: 17350 grad_norm: 8.8090 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9873 loss: 0.9873 2022/07/24 14:57:52 - mmengine - INFO - Epoch(train) [83][3320/3757] lr: 1.0000e-04 eta: 11:54:51 time: 0.6098 data_time: 0.2584 memory: 17350 grad_norm: 8.3692 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8828 loss: 0.8828 2022/07/24 14:58:07 - mmengine - INFO - Epoch(train) [83][3340/3757] lr: 1.0000e-04 eta: 11:54:38 time: 0.7217 data_time: 0.3825 memory: 17350 grad_norm: 8.1915 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7997 loss: 0.7997 2022/07/24 14:58:18 - mmengine - INFO - Epoch(train) [83][3360/3757] lr: 1.0000e-04 eta: 11:54:24 time: 0.5940 data_time: 0.2535 memory: 17350 grad_norm: 8.5532 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0979 loss: 1.0979 2022/07/24 14:58:33 - mmengine - INFO - Epoch(train) [83][3380/3757] lr: 1.0000e-04 eta: 11:54:11 time: 0.7072 data_time: 0.3717 memory: 17350 grad_norm: 8.5766 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8741 loss: 0.8741 2022/07/24 14:58:45 - mmengine - INFO - Epoch(train) [83][3400/3757] lr: 1.0000e-04 eta: 11:53:57 time: 0.5995 data_time: 0.2615 memory: 17350 grad_norm: 8.4194 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1062 loss: 1.1062 2022/07/24 14:59:00 - mmengine - INFO - Epoch(train) [83][3420/3757] lr: 1.0000e-04 eta: 11:53:44 time: 0.7457 data_time: 0.4058 memory: 17350 grad_norm: 8.3009 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0425 loss: 1.0425 2022/07/24 14:59:12 - mmengine - INFO - Epoch(train) [83][3440/3757] lr: 1.0000e-04 eta: 11:53:31 time: 0.5992 data_time: 0.2621 memory: 17350 grad_norm: 8.4762 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0777 loss: 1.0777 2022/07/24 14:59:25 - mmengine - INFO - Epoch(train) [83][3460/3757] lr: 1.0000e-04 eta: 11:53:18 time: 0.6901 data_time: 0.3495 memory: 17350 grad_norm: 8.7365 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0512 loss: 1.0512 2022/07/24 14:59:38 - mmengine - INFO - Epoch(train) [83][3480/3757] lr: 1.0000e-04 eta: 11:53:04 time: 0.6252 data_time: 0.2847 memory: 17350 grad_norm: 9.1578 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1559 loss: 1.1559 2022/07/24 14:59:51 - mmengine - INFO - Epoch(train) [83][3500/3757] lr: 1.0000e-04 eta: 11:52:51 time: 0.6747 data_time: 0.3287 memory: 17350 grad_norm: 8.5750 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2362 loss: 1.2362 2022/07/24 15:00:03 - mmengine - INFO - Epoch(train) [83][3520/3757] lr: 1.0000e-04 eta: 11:52:37 time: 0.5997 data_time: 0.2536 memory: 17350 grad_norm: 8.6571 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9435 loss: 0.9435 2022/07/24 15:00:19 - mmengine - INFO - Epoch(train) [83][3540/3757] lr: 1.0000e-04 eta: 11:52:24 time: 0.7562 data_time: 0.4192 memory: 17350 grad_norm: 8.9953 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0317 loss: 1.0317 2022/07/24 15:00:31 - mmengine - INFO - Epoch(train) [83][3560/3757] lr: 1.0000e-04 eta: 11:52:10 time: 0.5974 data_time: 0.2458 memory: 17350 grad_norm: 8.2897 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8883 loss: 0.8883 2022/07/24 15:00:45 - mmengine - INFO - Epoch(train) [83][3580/3757] lr: 1.0000e-04 eta: 11:51:57 time: 0.7244 data_time: 0.2823 memory: 17350 grad_norm: 8.8336 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8793 loss: 0.8793 2022/07/24 15:00:57 - mmengine - INFO - Epoch(train) [83][3600/3757] lr: 1.0000e-04 eta: 11:51:44 time: 0.6135 data_time: 0.1829 memory: 17350 grad_norm: 8.4858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8538 loss: 0.8538 2022/07/24 15:01:12 - mmengine - INFO - Epoch(train) [83][3620/3757] lr: 1.0000e-04 eta: 11:51:31 time: 0.7317 data_time: 0.2025 memory: 17350 grad_norm: 8.6457 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8727 loss: 0.8727 2022/07/24 15:01:24 - mmengine - INFO - Epoch(train) [83][3640/3757] lr: 1.0000e-04 eta: 11:51:17 time: 0.6067 data_time: 0.1306 memory: 17350 grad_norm: 8.1565 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8688 loss: 0.8688 2022/07/24 15:01:38 - mmengine - INFO - Epoch(train) [83][3660/3757] lr: 1.0000e-04 eta: 11:51:04 time: 0.7104 data_time: 0.1951 memory: 17350 grad_norm: 8.6773 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9050 loss: 0.9050 2022/07/24 15:01:50 - mmengine - INFO - Epoch(train) [83][3680/3757] lr: 1.0000e-04 eta: 11:50:50 time: 0.5986 data_time: 0.2155 memory: 17350 grad_norm: 8.7389 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1284 loss: 1.1284 2022/07/24 15:02:04 - mmengine - INFO - Epoch(train) [83][3700/3757] lr: 1.0000e-04 eta: 11:50:37 time: 0.6996 data_time: 0.2317 memory: 17350 grad_norm: 8.9100 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9520 loss: 0.9520 2022/07/24 15:02:17 - mmengine - INFO - Epoch(train) [83][3720/3757] lr: 1.0000e-04 eta: 11:50:24 time: 0.6244 data_time: 0.1315 memory: 17350 grad_norm: 8.7471 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1301 loss: 1.1301 2022/07/24 15:02:31 - mmengine - INFO - Epoch(train) [83][3740/3757] lr: 1.0000e-04 eta: 11:50:10 time: 0.6894 data_time: 0.1918 memory: 17350 grad_norm: 8.3543 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9760 loss: 0.9760 2022/07/24 15:02:39 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 15:02:39 - mmengine - INFO - Epoch(train) [83][3757/3757] lr: 1.0000e-04 eta: 11:50:10 time: 0.4677 data_time: 0.0373 memory: 17350 grad_norm: 8.6598 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.1091 loss: 1.1091 2022/07/24 15:02:56 - mmengine - INFO - Epoch(val) [83][20/310] eta: 0:04:07 time: 0.8522 data_time: 0.7310 memory: 3406 2022/07/24 15:03:07 - mmengine - INFO - Epoch(val) [83][40/310] eta: 0:02:22 time: 0.5263 data_time: 0.4126 memory: 3406 2022/07/24 15:03:21 - mmengine - INFO - Epoch(val) [83][60/310] eta: 0:03:05 time: 0.7428 data_time: 0.6289 memory: 3406 2022/07/24 15:03:33 - mmengine - INFO - Epoch(val) [83][80/310] eta: 0:02:07 time: 0.5565 data_time: 0.4440 memory: 3406 2022/07/24 15:03:47 - mmengine - INFO - Epoch(val) [83][100/310] eta: 0:02:34 time: 0.7349 data_time: 0.6188 memory: 3406 2022/07/24 15:03:59 - mmengine - INFO - Epoch(val) [83][120/310] eta: 0:01:49 time: 0.5768 data_time: 0.4618 memory: 3406 2022/07/24 15:04:14 - mmengine - INFO - Epoch(val) [83][140/310] eta: 0:02:07 time: 0.7510 data_time: 0.6359 memory: 3406 2022/07/24 15:04:27 - mmengine - INFO - Epoch(val) [83][160/310] eta: 0:01:35 time: 0.6334 data_time: 0.5203 memory: 3406 2022/07/24 15:04:40 - mmengine - INFO - Epoch(val) [83][180/310] eta: 0:01:26 time: 0.6660 data_time: 0.5537 memory: 3406 2022/07/24 15:04:53 - mmengine - INFO - Epoch(val) [83][200/310] eta: 0:01:10 time: 0.6410 data_time: 0.5277 memory: 3406 2022/07/24 15:05:08 - mmengine - INFO - Epoch(val) [83][220/310] eta: 0:01:08 time: 0.7619 data_time: 0.6477 memory: 3406 2022/07/24 15:05:19 - mmengine - INFO - Epoch(val) [83][240/310] eta: 0:00:39 time: 0.5602 data_time: 0.4472 memory: 3406 2022/07/24 15:05:34 - mmengine - INFO - Epoch(val) [83][260/310] eta: 0:00:38 time: 0.7640 data_time: 0.6498 memory: 3406 2022/07/24 15:05:46 - mmengine - INFO - Epoch(val) [83][280/310] eta: 0:00:16 time: 0.5588 data_time: 0.4450 memory: 3406 2022/07/24 15:06:00 - mmengine - INFO - Epoch(val) [83][300/310] eta: 0:00:07 time: 0.7381 data_time: 0.6212 memory: 3406 2022/07/24 15:06:05 - mmengine - INFO - Epoch(val) [83][310/310] acc/top1: 0.6875 acc/top5: 0.8783 acc/mean1: 0.6874 2022/07/24 15:06:05 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_82.pth is removed 2022/07/24 15:06:07 - mmengine - INFO - The best checkpoint with 0.6875 acc/top1 at 84 epoch is saved to best_acc/top1_epoch_84.pth. 2022/07/24 15:06:24 - mmengine - INFO - Epoch(train) [84][20/3757] lr: 1.0000e-04 eta: 11:49:44 time: 0.8492 data_time: 0.5133 memory: 17350 grad_norm: 8.5685 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9729 loss: 0.9729 2022/07/24 15:06:36 - mmengine - INFO - Epoch(train) [84][40/3757] lr: 1.0000e-04 eta: 11:49:31 time: 0.5938 data_time: 0.2669 memory: 17350 grad_norm: 8.2721 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0240 loss: 1.0240 2022/07/24 15:06:51 - mmengine - INFO - Epoch(train) [84][60/3757] lr: 1.0000e-04 eta: 11:49:17 time: 0.7361 data_time: 0.4060 memory: 17350 grad_norm: 8.6272 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9991 loss: 0.9991 2022/07/24 15:07:02 - mmengine - INFO - Epoch(train) [84][80/3757] lr: 1.0000e-04 eta: 11:49:04 time: 0.5781 data_time: 0.2434 memory: 17350 grad_norm: 8.5540 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0027 loss: 1.0027 2022/07/24 15:07:17 - mmengine - INFO - Epoch(train) [84][100/3757] lr: 1.0000e-04 eta: 11:48:51 time: 0.7306 data_time: 0.4060 memory: 17350 grad_norm: 8.9424 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9720 loss: 0.9720 2022/07/24 15:07:29 - mmengine - INFO - Epoch(train) [84][120/3757] lr: 1.0000e-04 eta: 11:48:37 time: 0.5939 data_time: 0.2649 memory: 17350 grad_norm: 8.5005 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1186 loss: 1.1186 2022/07/24 15:07:43 - mmengine - INFO - Epoch(train) [84][140/3757] lr: 1.0000e-04 eta: 11:48:24 time: 0.7267 data_time: 0.3944 memory: 17350 grad_norm: 8.5204 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0875 loss: 1.0875 2022/07/24 15:07:56 - mmengine - INFO - Epoch(train) [84][160/3757] lr: 1.0000e-04 eta: 11:48:10 time: 0.6143 data_time: 0.2843 memory: 17350 grad_norm: 8.2715 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9294 loss: 0.9294 2022/07/24 15:08:05 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 15:08:11 - mmengine - INFO - Epoch(train) [84][180/3757] lr: 1.0000e-04 eta: 11:47:57 time: 0.7519 data_time: 0.4143 memory: 17350 grad_norm: 8.7085 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8308 loss: 0.8308 2022/07/24 15:08:23 - mmengine - INFO - Epoch(train) [84][200/3757] lr: 1.0000e-04 eta: 11:47:44 time: 0.5977 data_time: 0.2645 memory: 17350 grad_norm: 8.5765 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9812 loss: 0.9812 2022/07/24 15:08:37 - mmengine - INFO - Epoch(train) [84][220/3757] lr: 1.0000e-04 eta: 11:47:31 time: 0.7438 data_time: 0.4089 memory: 17350 grad_norm: 8.3552 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1759 loss: 1.1759 2022/07/24 15:08:50 - mmengine - INFO - Epoch(train) [84][240/3757] lr: 1.0000e-04 eta: 11:47:17 time: 0.6099 data_time: 0.2737 memory: 17350 grad_norm: 8.3649 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9587 loss: 0.9587 2022/07/24 15:09:04 - mmengine - INFO - Epoch(train) [84][260/3757] lr: 1.0000e-04 eta: 11:47:04 time: 0.7040 data_time: 0.3812 memory: 17350 grad_norm: 8.4112 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 0.9392 loss: 0.9392 2022/07/24 15:09:16 - mmengine - INFO - Epoch(train) [84][280/3757] lr: 1.0000e-04 eta: 11:46:50 time: 0.6153 data_time: 0.2635 memory: 17350 grad_norm: 8.7408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0057 loss: 1.0057 2022/07/24 15:09:30 - mmengine - INFO - Epoch(train) [84][300/3757] lr: 1.0000e-04 eta: 11:46:37 time: 0.6875 data_time: 0.1940 memory: 17350 grad_norm: 8.6301 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9859 loss: 0.9859 2022/07/24 15:09:42 - mmengine - INFO - Epoch(train) [84][320/3757] lr: 1.0000e-04 eta: 11:46:24 time: 0.6188 data_time: 0.1669 memory: 17350 grad_norm: 8.3996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8828 loss: 0.8828 2022/07/24 15:09:56 - mmengine - INFO - Epoch(train) [84][340/3757] lr: 1.0000e-04 eta: 11:46:10 time: 0.6932 data_time: 0.2106 memory: 17350 grad_norm: 8.4420 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9955 loss: 0.9955 2022/07/24 15:10:10 - mmengine - INFO - Epoch(train) [84][360/3757] lr: 1.0000e-04 eta: 11:45:57 time: 0.6829 data_time: 0.2901 memory: 17350 grad_norm: 8.6004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0986 loss: 1.0986 2022/07/24 15:10:23 - mmengine - INFO - Epoch(train) [84][380/3757] lr: 1.0000e-04 eta: 11:45:44 time: 0.6665 data_time: 0.2658 memory: 17350 grad_norm: 8.6202 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9941 loss: 0.9941 2022/07/24 15:10:37 - mmengine - INFO - Epoch(train) [84][400/3757] lr: 1.0000e-04 eta: 11:45:30 time: 0.6683 data_time: 0.3039 memory: 17350 grad_norm: 8.8515 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1748 loss: 1.1748 2022/07/24 15:10:50 - mmengine - INFO - Epoch(train) [84][420/3757] lr: 1.0000e-04 eta: 11:45:17 time: 0.6553 data_time: 0.2251 memory: 17350 grad_norm: 8.4329 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7927 loss: 0.7927 2022/07/24 15:11:03 - mmengine - INFO - Epoch(train) [84][440/3757] lr: 1.0000e-04 eta: 11:45:04 time: 0.6673 data_time: 0.2956 memory: 17350 grad_norm: 8.7191 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1021 loss: 1.1021 2022/07/24 15:11:16 - mmengine - INFO - Epoch(train) [84][460/3757] lr: 1.0000e-04 eta: 11:44:50 time: 0.6563 data_time: 0.3233 memory: 17350 grad_norm: 9.1135 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1288 loss: 1.1288 2022/07/24 15:11:29 - mmengine - INFO - Epoch(train) [84][480/3757] lr: 1.0000e-04 eta: 11:44:37 time: 0.6507 data_time: 0.3285 memory: 17350 grad_norm: 8.7010 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8880 loss: 0.8880 2022/07/24 15:11:43 - mmengine - INFO - Epoch(train) [84][500/3757] lr: 1.0000e-04 eta: 11:44:24 time: 0.6822 data_time: 0.2904 memory: 17350 grad_norm: 8.6640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8758 loss: 0.8758 2022/07/24 15:11:56 - mmengine - INFO - Epoch(train) [84][520/3757] lr: 1.0000e-04 eta: 11:44:10 time: 0.6338 data_time: 0.2016 memory: 17350 grad_norm: 8.7094 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9621 loss: 0.9621 2022/07/24 15:12:09 - mmengine - INFO - Epoch(train) [84][540/3757] lr: 1.0000e-04 eta: 11:43:57 time: 0.6801 data_time: 0.1573 memory: 17350 grad_norm: 8.8757 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9450 loss: 0.9450 2022/07/24 15:12:23 - mmengine - INFO - Epoch(train) [84][560/3757] lr: 1.0000e-04 eta: 11:43:44 time: 0.6827 data_time: 0.2198 memory: 17350 grad_norm: 8.6282 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0645 loss: 1.0645 2022/07/24 15:12:36 - mmengine - INFO - Epoch(train) [84][580/3757] lr: 1.0000e-04 eta: 11:43:30 time: 0.6468 data_time: 0.1550 memory: 17350 grad_norm: 8.7965 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7884 loss: 0.7884 2022/07/24 15:12:50 - mmengine - INFO - Epoch(train) [84][600/3757] lr: 1.0000e-04 eta: 11:43:17 time: 0.6889 data_time: 0.1493 memory: 17350 grad_norm: 8.7141 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9356 loss: 0.9356 2022/07/24 15:13:02 - mmengine - INFO - Epoch(train) [84][620/3757] lr: 1.0000e-04 eta: 11:43:03 time: 0.6271 data_time: 0.0229 memory: 17350 grad_norm: 8.5941 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1062 loss: 1.1062 2022/07/24 15:13:16 - mmengine - INFO - Epoch(train) [84][640/3757] lr: 1.0000e-04 eta: 11:42:50 time: 0.6904 data_time: 0.0224 memory: 17350 grad_norm: 8.6485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9879 loss: 0.9879 2022/07/24 15:13:29 - mmengine - INFO - Epoch(train) [84][660/3757] lr: 1.0000e-04 eta: 11:42:37 time: 0.6457 data_time: 0.0858 memory: 17350 grad_norm: 8.4638 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7596 loss: 0.7596 2022/07/24 15:13:42 - mmengine - INFO - Epoch(train) [84][680/3757] lr: 1.0000e-04 eta: 11:42:23 time: 0.6374 data_time: 0.0542 memory: 17350 grad_norm: 8.8506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0754 loss: 1.0754 2022/07/24 15:13:56 - mmengine - INFO - Epoch(train) [84][700/3757] lr: 1.0000e-04 eta: 11:42:10 time: 0.7045 data_time: 0.0693 memory: 17350 grad_norm: 8.5572 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0094 loss: 1.0094 2022/07/24 15:14:09 - mmengine - INFO - Epoch(train) [84][720/3757] lr: 1.0000e-04 eta: 11:41:57 time: 0.6421 data_time: 0.0426 memory: 17350 grad_norm: 8.4824 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1783 loss: 1.1783 2022/07/24 15:14:22 - mmengine - INFO - Epoch(train) [84][740/3757] lr: 1.0000e-04 eta: 11:41:43 time: 0.6783 data_time: 0.0443 memory: 17350 grad_norm: 8.5557 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8892 loss: 0.8892 2022/07/24 15:14:35 - mmengine - INFO - Epoch(train) [84][760/3757] lr: 1.0000e-04 eta: 11:41:30 time: 0.6161 data_time: 0.0623 memory: 17350 grad_norm: 8.6347 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8821 loss: 0.8821 2022/07/24 15:14:48 - mmengine - INFO - Epoch(train) [84][780/3757] lr: 1.0000e-04 eta: 11:41:17 time: 0.6616 data_time: 0.0428 memory: 17350 grad_norm: 8.9782 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0819 loss: 1.0819 2022/07/24 15:15:01 - mmengine - INFO - Epoch(train) [84][800/3757] lr: 1.0000e-04 eta: 11:41:03 time: 0.6638 data_time: 0.0389 memory: 17350 grad_norm: 8.5320 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1178 loss: 1.1178 2022/07/24 15:15:15 - mmengine - INFO - Epoch(train) [84][820/3757] lr: 1.0000e-04 eta: 11:40:50 time: 0.6956 data_time: 0.0334 memory: 17350 grad_norm: 8.5760 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2002 loss: 1.2002 2022/07/24 15:15:29 - mmengine - INFO - Epoch(train) [84][840/3757] lr: 1.0000e-04 eta: 11:40:37 time: 0.6866 data_time: 0.0223 memory: 17350 grad_norm: 8.5058 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8227 loss: 0.8227 2022/07/24 15:15:43 - mmengine - INFO - Epoch(train) [84][860/3757] lr: 1.0000e-04 eta: 11:40:23 time: 0.6834 data_time: 0.0268 memory: 17350 grad_norm: 8.5720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3086 loss: 1.3086 2022/07/24 15:15:55 - mmengine - INFO - Epoch(train) [84][880/3757] lr: 1.0000e-04 eta: 11:40:10 time: 0.6153 data_time: 0.0629 memory: 17350 grad_norm: 8.8511 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9214 loss: 0.9214 2022/07/24 15:16:09 - mmengine - INFO - Epoch(train) [84][900/3757] lr: 1.0000e-04 eta: 11:39:57 time: 0.7233 data_time: 0.0224 memory: 17350 grad_norm: 8.6303 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0140 loss: 1.0140 2022/07/24 15:16:21 - mmengine - INFO - Epoch(train) [84][920/3757] lr: 1.0000e-04 eta: 11:39:43 time: 0.5949 data_time: 0.0251 memory: 17350 grad_norm: 8.6594 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0133 loss: 1.0133 2022/07/24 15:16:35 - mmengine - INFO - Epoch(train) [84][940/3757] lr: 1.0000e-04 eta: 11:39:30 time: 0.7002 data_time: 0.0217 memory: 17350 grad_norm: 8.5853 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9849 loss: 0.9849 2022/07/24 15:16:48 - mmengine - INFO - Epoch(train) [84][960/3757] lr: 1.0000e-04 eta: 11:39:16 time: 0.6295 data_time: 0.0241 memory: 17350 grad_norm: 8.3677 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1636 loss: 1.1636 2022/07/24 15:17:03 - mmengine - INFO - Epoch(train) [84][980/3757] lr: 1.0000e-04 eta: 11:39:03 time: 0.7332 data_time: 0.0232 memory: 17350 grad_norm: 8.7170 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0493 loss: 1.0493 2022/07/24 15:17:15 - mmengine - INFO - Epoch(train) [84][1000/3757] lr: 1.0000e-04 eta: 11:38:50 time: 0.6290 data_time: 0.0228 memory: 17350 grad_norm: 8.6334 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8677 loss: 0.8677 2022/07/24 15:17:29 - mmengine - INFO - Epoch(train) [84][1020/3757] lr: 1.0000e-04 eta: 11:38:37 time: 0.6871 data_time: 0.0229 memory: 17350 grad_norm: 8.2619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9265 loss: 0.9265 2022/07/24 15:17:41 - mmengine - INFO - Epoch(train) [84][1040/3757] lr: 1.0000e-04 eta: 11:38:23 time: 0.6255 data_time: 0.0234 memory: 17350 grad_norm: 8.5880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0297 loss: 1.0297 2022/07/24 15:17:55 - mmengine - INFO - Epoch(train) [84][1060/3757] lr: 1.0000e-04 eta: 11:38:10 time: 0.6968 data_time: 0.0239 memory: 17350 grad_norm: 8.1535 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8792 loss: 0.8792 2022/07/24 15:18:08 - mmengine - INFO - Epoch(train) [84][1080/3757] lr: 1.0000e-04 eta: 11:37:56 time: 0.6101 data_time: 0.0233 memory: 17350 grad_norm: 8.5581 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8573 loss: 0.8573 2022/07/24 15:18:22 - mmengine - INFO - Epoch(train) [84][1100/3757] lr: 1.0000e-04 eta: 11:37:43 time: 0.7173 data_time: 0.0238 memory: 17350 grad_norm: 8.2754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8720 loss: 0.8720 2022/07/24 15:18:34 - mmengine - INFO - Epoch(train) [84][1120/3757] lr: 1.0000e-04 eta: 11:37:30 time: 0.6232 data_time: 0.0211 memory: 17350 grad_norm: 8.6918 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9300 loss: 0.9300 2022/07/24 15:18:49 - mmengine - INFO - Epoch(train) [84][1140/3757] lr: 1.0000e-04 eta: 11:37:17 time: 0.7262 data_time: 0.0234 memory: 17350 grad_norm: 8.8748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0442 loss: 1.0442 2022/07/24 15:19:01 - mmengine - INFO - Epoch(train) [84][1160/3757] lr: 1.0000e-04 eta: 11:37:03 time: 0.5925 data_time: 0.0237 memory: 17350 grad_norm: 8.7834 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9429 loss: 0.9429 2022/07/24 15:19:08 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 15:19:16 - mmengine - INFO - Epoch(train) [84][1180/3757] lr: 1.0000e-04 eta: 11:36:50 time: 0.7479 data_time: 0.0227 memory: 17350 grad_norm: 8.9387 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1646 loss: 1.1646 2022/07/24 15:19:28 - mmengine - INFO - Epoch(train) [84][1200/3757] lr: 1.0000e-04 eta: 11:36:36 time: 0.6008 data_time: 0.0220 memory: 17350 grad_norm: 8.7702 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.0200 loss: 1.0200 2022/07/24 15:19:42 - mmengine - INFO - Epoch(train) [84][1220/3757] lr: 1.0000e-04 eta: 11:36:23 time: 0.7045 data_time: 0.0241 memory: 17350 grad_norm: 8.6215 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0698 loss: 1.0698 2022/07/24 15:19:55 - mmengine - INFO - Epoch(train) [84][1240/3757] lr: 1.0000e-04 eta: 11:36:10 time: 0.6393 data_time: 0.0232 memory: 17350 grad_norm: 8.7526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0111 loss: 1.0111 2022/07/24 15:20:10 - mmengine - INFO - Epoch(train) [84][1260/3757] lr: 1.0000e-04 eta: 11:35:57 time: 0.7508 data_time: 0.0251 memory: 17350 grad_norm: 8.8589 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2028 loss: 1.2028 2022/07/24 15:20:22 - mmengine - INFO - Epoch(train) [84][1280/3757] lr: 1.0000e-04 eta: 11:35:43 time: 0.5972 data_time: 0.0240 memory: 17350 grad_norm: 8.7814 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1869 loss: 1.1869 2022/07/24 15:20:37 - mmengine - INFO - Epoch(train) [84][1300/3757] lr: 1.0000e-04 eta: 11:35:30 time: 0.7540 data_time: 0.0235 memory: 17350 grad_norm: 9.0527 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9160 loss: 0.9160 2022/07/24 15:20:48 - mmengine - INFO - Epoch(train) [84][1320/3757] lr: 1.0000e-04 eta: 11:35:16 time: 0.5761 data_time: 0.0242 memory: 17350 grad_norm: 8.8555 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8418 loss: 0.8418 2022/07/24 15:21:02 - mmengine - INFO - Epoch(train) [84][1340/3757] lr: 1.0000e-04 eta: 11:35:03 time: 0.6980 data_time: 0.0253 memory: 17350 grad_norm: 8.4251 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9212 loss: 0.9212 2022/07/24 15:21:15 - mmengine - INFO - Epoch(train) [84][1360/3757] lr: 1.0000e-04 eta: 11:34:50 time: 0.6036 data_time: 0.0220 memory: 17350 grad_norm: 8.7028 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9840 loss: 0.9840 2022/07/24 15:21:29 - mmengine - INFO - Epoch(train) [84][1380/3757] lr: 1.0000e-04 eta: 11:34:36 time: 0.7151 data_time: 0.0244 memory: 17350 grad_norm: 8.8029 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8415 loss: 0.8415 2022/07/24 15:21:41 - mmengine - INFO - Epoch(train) [84][1400/3757] lr: 1.0000e-04 eta: 11:34:23 time: 0.5852 data_time: 0.0218 memory: 17350 grad_norm: 8.6552 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8928 loss: 0.8928 2022/07/24 15:21:55 - mmengine - INFO - Epoch(train) [84][1420/3757] lr: 1.0000e-04 eta: 11:34:10 time: 0.7001 data_time: 0.0241 memory: 17350 grad_norm: 8.4819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9235 loss: 0.9235 2022/07/24 15:22:07 - mmengine - INFO - Epoch(train) [84][1440/3757] lr: 1.0000e-04 eta: 11:33:56 time: 0.6097 data_time: 0.0239 memory: 17350 grad_norm: 8.8382 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9891 loss: 0.9891 2022/07/24 15:22:21 - mmengine - INFO - Epoch(train) [84][1460/3757] lr: 1.0000e-04 eta: 11:33:43 time: 0.7289 data_time: 0.0791 memory: 17350 grad_norm: 8.7835 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0633 loss: 1.0633 2022/07/24 15:22:33 - mmengine - INFO - Epoch(train) [84][1480/3757] lr: 1.0000e-04 eta: 11:33:29 time: 0.5936 data_time: 0.1433 memory: 17350 grad_norm: 8.9389 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0451 loss: 1.0451 2022/07/24 15:22:47 - mmengine - INFO - Epoch(train) [84][1500/3757] lr: 1.0000e-04 eta: 11:33:16 time: 0.6944 data_time: 0.1426 memory: 17350 grad_norm: 8.7477 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9685 loss: 0.9685 2022/07/24 15:22:59 - mmengine - INFO - Epoch(train) [84][1520/3757] lr: 1.0000e-04 eta: 11:33:02 time: 0.6046 data_time: 0.0446 memory: 17350 grad_norm: 8.7236 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1684 loss: 1.1684 2022/07/24 15:23:13 - mmengine - INFO - Epoch(train) [84][1540/3757] lr: 1.0000e-04 eta: 11:32:49 time: 0.6904 data_time: 0.0306 memory: 17350 grad_norm: 8.8352 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.0870 loss: 1.0870 2022/07/24 15:23:26 - mmengine - INFO - Epoch(train) [84][1560/3757] lr: 1.0000e-04 eta: 11:32:36 time: 0.6533 data_time: 0.0241 memory: 17350 grad_norm: 8.8584 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0781 loss: 1.0781 2022/07/24 15:23:40 - mmengine - INFO - Epoch(train) [84][1580/3757] lr: 1.0000e-04 eta: 11:32:22 time: 0.6792 data_time: 0.0224 memory: 17350 grad_norm: 8.6959 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1381 loss: 1.1381 2022/07/24 15:23:53 - mmengine - INFO - Epoch(train) [84][1600/3757] lr: 1.0000e-04 eta: 11:32:09 time: 0.6444 data_time: 0.0243 memory: 17350 grad_norm: 8.0370 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8451 loss: 0.8451 2022/07/24 15:24:06 - mmengine - INFO - Epoch(train) [84][1620/3757] lr: 1.0000e-04 eta: 11:31:56 time: 0.6832 data_time: 0.0217 memory: 17350 grad_norm: 8.8720 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8940 loss: 0.8940 2022/07/24 15:24:20 - mmengine - INFO - Epoch(train) [84][1640/3757] lr: 1.0000e-04 eta: 11:31:42 time: 0.6679 data_time: 0.0246 memory: 17350 grad_norm: 8.5993 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0646 loss: 1.0646 2022/07/24 15:24:33 - mmengine - INFO - Epoch(train) [84][1660/3757] lr: 1.0000e-04 eta: 11:31:29 time: 0.6464 data_time: 0.0226 memory: 17350 grad_norm: 8.9434 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9441 loss: 0.9441 2022/07/24 15:24:46 - mmengine - INFO - Epoch(train) [84][1680/3757] lr: 1.0000e-04 eta: 11:31:16 time: 0.6779 data_time: 0.0224 memory: 17350 grad_norm: 8.4084 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8725 loss: 0.8725 2022/07/24 15:24:59 - mmengine - INFO - Epoch(train) [84][1700/3757] lr: 1.0000e-04 eta: 11:31:02 time: 0.6495 data_time: 0.0226 memory: 17350 grad_norm: 8.7218 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9587 loss: 0.9587 2022/07/24 15:25:14 - mmengine - INFO - Epoch(train) [84][1720/3757] lr: 1.0000e-04 eta: 11:30:49 time: 0.7205 data_time: 0.0394 memory: 17350 grad_norm: 8.8374 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0537 loss: 1.0537 2022/07/24 15:25:27 - mmengine - INFO - Epoch(train) [84][1740/3757] lr: 1.0000e-04 eta: 11:30:36 time: 0.6710 data_time: 0.0229 memory: 17350 grad_norm: 8.7460 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0607 loss: 1.0607 2022/07/24 15:25:40 - mmengine - INFO - Epoch(train) [84][1760/3757] lr: 1.0000e-04 eta: 11:30:22 time: 0.6335 data_time: 0.0259 memory: 17350 grad_norm: 8.6827 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8946 loss: 0.8946 2022/07/24 15:25:54 - mmengine - INFO - Epoch(train) [84][1780/3757] lr: 1.0000e-04 eta: 11:30:09 time: 0.6889 data_time: 0.0244 memory: 17350 grad_norm: 8.4035 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9271 loss: 0.9271 2022/07/24 15:26:06 - mmengine - INFO - Epoch(train) [84][1800/3757] lr: 1.0000e-04 eta: 11:29:56 time: 0.5977 data_time: 0.0220 memory: 17350 grad_norm: 8.6150 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9047 loss: 0.9047 2022/07/24 15:26:20 - mmengine - INFO - Epoch(train) [84][1820/3757] lr: 1.0000e-04 eta: 11:29:42 time: 0.7276 data_time: 0.0225 memory: 17350 grad_norm: 8.8410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0700 loss: 1.0700 2022/07/24 15:26:33 - mmengine - INFO - Epoch(train) [84][1840/3757] lr: 1.0000e-04 eta: 11:29:29 time: 0.6138 data_time: 0.0235 memory: 17350 grad_norm: 8.3964 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9857 loss: 0.9857 2022/07/24 15:26:48 - mmengine - INFO - Epoch(train) [84][1860/3757] lr: 1.0000e-04 eta: 11:29:16 time: 0.7486 data_time: 0.0225 memory: 17350 grad_norm: 8.3978 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8780 loss: 0.8780 2022/07/24 15:26:59 - mmengine - INFO - Epoch(train) [84][1880/3757] lr: 1.0000e-04 eta: 11:29:02 time: 0.5801 data_time: 0.0237 memory: 17350 grad_norm: 9.0083 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1019 loss: 1.1019 2022/07/24 15:27:14 - mmengine - INFO - Epoch(train) [84][1900/3757] lr: 1.0000e-04 eta: 11:28:49 time: 0.7302 data_time: 0.0215 memory: 17350 grad_norm: 8.6564 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2718 loss: 1.2718 2022/07/24 15:27:26 - mmengine - INFO - Epoch(train) [84][1920/3757] lr: 1.0000e-04 eta: 11:28:36 time: 0.6281 data_time: 0.0231 memory: 17350 grad_norm: 9.0231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9272 loss: 0.9272 2022/07/24 15:27:41 - mmengine - INFO - Epoch(train) [84][1940/3757] lr: 1.0000e-04 eta: 11:28:22 time: 0.7096 data_time: 0.0275 memory: 17350 grad_norm: 8.8058 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9908 loss: 0.9908 2022/07/24 15:27:53 - mmengine - INFO - Epoch(train) [84][1960/3757] lr: 1.0000e-04 eta: 11:28:09 time: 0.6202 data_time: 0.0224 memory: 17350 grad_norm: 8.8898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1852 loss: 1.1852 2022/07/24 15:28:08 - mmengine - INFO - Epoch(train) [84][1980/3757] lr: 1.0000e-04 eta: 11:27:56 time: 0.7301 data_time: 0.0213 memory: 17350 grad_norm: 8.3608 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0760 loss: 1.0760 2022/07/24 15:28:20 - mmengine - INFO - Epoch(train) [84][2000/3757] lr: 1.0000e-04 eta: 11:27:42 time: 0.6087 data_time: 0.0362 memory: 17350 grad_norm: 8.7935 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9530 loss: 0.9530 2022/07/24 15:28:34 - mmengine - INFO - Epoch(train) [84][2020/3757] lr: 1.0000e-04 eta: 11:27:29 time: 0.7019 data_time: 0.0229 memory: 17350 grad_norm: 8.9348 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2711 loss: 1.2711 2022/07/24 15:28:47 - mmengine - INFO - Epoch(train) [84][2040/3757] lr: 1.0000e-04 eta: 11:27:16 time: 0.6389 data_time: 0.0242 memory: 17350 grad_norm: 8.2513 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8402 loss: 0.8402 2022/07/24 15:29:00 - mmengine - INFO - Epoch(train) [84][2060/3757] lr: 1.0000e-04 eta: 11:27:02 time: 0.6642 data_time: 0.0225 memory: 17350 grad_norm: 8.7777 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9639 loss: 0.9639 2022/07/24 15:29:14 - mmengine - INFO - Epoch(train) [84][2080/3757] lr: 1.0000e-04 eta: 11:26:49 time: 0.7070 data_time: 0.0230 memory: 17350 grad_norm: 9.0895 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3139 loss: 1.3139 2022/07/24 15:29:26 - mmengine - INFO - Epoch(train) [84][2100/3757] lr: 1.0000e-04 eta: 11:26:35 time: 0.5992 data_time: 0.0209 memory: 17350 grad_norm: 9.0382 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1048 loss: 1.1048 2022/07/24 15:29:41 - mmengine - INFO - Epoch(train) [84][2120/3757] lr: 1.0000e-04 eta: 11:26:22 time: 0.7229 data_time: 0.0223 memory: 17350 grad_norm: 8.3504 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0474 loss: 1.0474 2022/07/24 15:29:52 - mmengine - INFO - Epoch(train) [84][2140/3757] lr: 1.0000e-04 eta: 11:26:09 time: 0.5742 data_time: 0.0233 memory: 17350 grad_norm: 8.5553 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6348 loss: 0.6348 2022/07/24 15:30:07 - mmengine - INFO - Epoch(train) [84][2160/3757] lr: 1.0000e-04 eta: 11:25:56 time: 0.7253 data_time: 0.0223 memory: 17350 grad_norm: 8.9118 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1047 loss: 1.1047 2022/07/24 15:30:13 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 15:30:19 - mmengine - INFO - Epoch(train) [84][2180/3757] lr: 1.0000e-04 eta: 11:25:42 time: 0.6106 data_time: 0.0223 memory: 17350 grad_norm: 8.8192 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9904 loss: 0.9904 2022/07/24 15:30:33 - mmengine - INFO - Epoch(train) [84][2200/3757] lr: 1.0000e-04 eta: 11:25:29 time: 0.7062 data_time: 0.0224 memory: 17350 grad_norm: 8.3587 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0845 loss: 1.0845 2022/07/24 15:30:45 - mmengine - INFO - Epoch(train) [84][2220/3757] lr: 1.0000e-04 eta: 11:25:15 time: 0.6064 data_time: 0.0226 memory: 17350 grad_norm: 9.0016 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9497 loss: 0.9497 2022/07/24 15:31:00 - mmengine - INFO - Epoch(train) [84][2240/3757] lr: 1.0000e-04 eta: 11:25:02 time: 0.7533 data_time: 0.0244 memory: 17350 grad_norm: 8.9452 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2077 loss: 1.2077 2022/07/24 15:31:12 - mmengine - INFO - Epoch(train) [84][2260/3757] lr: 1.0000e-04 eta: 11:24:49 time: 0.6007 data_time: 0.0226 memory: 17350 grad_norm: 9.0245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0206 loss: 1.0206 2022/07/24 15:31:27 - mmengine - INFO - Epoch(train) [84][2280/3757] lr: 1.0000e-04 eta: 11:24:36 time: 0.7407 data_time: 0.0213 memory: 17350 grad_norm: 8.5991 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1880 loss: 1.1880 2022/07/24 15:31:39 - mmengine - INFO - Epoch(train) [84][2300/3757] lr: 1.0000e-04 eta: 11:24:22 time: 0.6146 data_time: 0.0223 memory: 17350 grad_norm: 8.5564 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9175 loss: 0.9175 2022/07/24 15:31:54 - mmengine - INFO - Epoch(train) [84][2320/3757] lr: 1.0000e-04 eta: 11:24:09 time: 0.7137 data_time: 0.0237 memory: 17350 grad_norm: 8.9571 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1486 loss: 1.1486 2022/07/24 15:32:06 - mmengine - INFO - Epoch(train) [84][2340/3757] lr: 1.0000e-04 eta: 11:23:55 time: 0.6141 data_time: 0.0221 memory: 17350 grad_norm: 8.5142 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0451 loss: 1.0451 2022/07/24 15:32:20 - mmengine - INFO - Epoch(train) [84][2360/3757] lr: 1.0000e-04 eta: 11:23:42 time: 0.7221 data_time: 0.0234 memory: 17350 grad_norm: 8.7406 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9494 loss: 0.9494 2022/07/24 15:32:33 - mmengine - INFO - Epoch(train) [84][2380/3757] lr: 1.0000e-04 eta: 11:23:29 time: 0.6089 data_time: 0.0214 memory: 17350 grad_norm: 8.9353 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9545 loss: 0.9545 2022/07/24 15:32:48 - mmengine - INFO - Epoch(train) [84][2400/3757] lr: 1.0000e-04 eta: 11:23:16 time: 0.7483 data_time: 0.0226 memory: 17350 grad_norm: 8.3274 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9208 loss: 0.9208 2022/07/24 15:32:59 - mmengine - INFO - Epoch(train) [84][2420/3757] lr: 1.0000e-04 eta: 11:23:02 time: 0.5786 data_time: 0.0232 memory: 17350 grad_norm: 8.2008 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9721 loss: 0.9721 2022/07/24 15:33:14 - mmengine - INFO - Epoch(train) [84][2440/3757] lr: 1.0000e-04 eta: 11:22:49 time: 0.7506 data_time: 0.0242 memory: 17350 grad_norm: 8.5136 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3231 loss: 1.3231 2022/07/24 15:33:26 - mmengine - INFO - Epoch(train) [84][2460/3757] lr: 1.0000e-04 eta: 11:22:35 time: 0.5962 data_time: 0.0232 memory: 17350 grad_norm: 9.2085 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1227 loss: 1.1227 2022/07/24 15:33:40 - mmengine - INFO - Epoch(train) [84][2480/3757] lr: 1.0000e-04 eta: 11:22:22 time: 0.7032 data_time: 0.0230 memory: 17350 grad_norm: 8.6510 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0931 loss: 1.0931 2022/07/24 15:33:52 - mmengine - INFO - Epoch(train) [84][2500/3757] lr: 1.0000e-04 eta: 11:22:09 time: 0.6063 data_time: 0.0228 memory: 17350 grad_norm: 8.7099 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8577 loss: 0.8577 2022/07/24 15:34:07 - mmengine - INFO - Epoch(train) [84][2520/3757] lr: 1.0000e-04 eta: 11:21:56 time: 0.7443 data_time: 0.0231 memory: 17350 grad_norm: 8.6849 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9394 loss: 0.9394 2022/07/24 15:34:19 - mmengine - INFO - Epoch(train) [84][2540/3757] lr: 1.0000e-04 eta: 11:21:42 time: 0.5777 data_time: 0.0238 memory: 17350 grad_norm: 8.7558 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9226 loss: 0.9226 2022/07/24 15:34:34 - mmengine - INFO - Epoch(train) [84][2560/3757] lr: 1.0000e-04 eta: 11:21:29 time: 0.7326 data_time: 0.0231 memory: 17350 grad_norm: 8.7151 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0475 loss: 1.0475 2022/07/24 15:34:46 - mmengine - INFO - Epoch(train) [84][2580/3757] lr: 1.0000e-04 eta: 11:21:15 time: 0.6457 data_time: 0.0224 memory: 17350 grad_norm: 8.1926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9770 loss: 0.9770 2022/07/24 15:35:00 - mmengine - INFO - Epoch(train) [84][2600/3757] lr: 1.0000e-04 eta: 11:21:02 time: 0.6881 data_time: 0.0219 memory: 17350 grad_norm: 8.8367 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0920 loss: 1.0920 2022/07/24 15:35:13 - mmengine - INFO - Epoch(train) [84][2620/3757] lr: 1.0000e-04 eta: 11:20:49 time: 0.6343 data_time: 0.0230 memory: 17350 grad_norm: 8.5909 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8501 loss: 0.8501 2022/07/24 15:35:27 - mmengine - INFO - Epoch(train) [84][2640/3757] lr: 1.0000e-04 eta: 11:20:35 time: 0.7111 data_time: 0.0227 memory: 17350 grad_norm: 9.3608 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0530 loss: 1.0530 2022/07/24 15:35:39 - mmengine - INFO - Epoch(train) [84][2660/3757] lr: 1.0000e-04 eta: 11:20:22 time: 0.5944 data_time: 0.0223 memory: 17350 grad_norm: 8.5406 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9465 loss: 0.9465 2022/07/24 15:35:54 - mmengine - INFO - Epoch(train) [84][2680/3757] lr: 1.0000e-04 eta: 11:20:09 time: 0.7428 data_time: 0.0249 memory: 17350 grad_norm: 8.6457 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9708 loss: 0.9708 2022/07/24 15:36:06 - mmengine - INFO - Epoch(train) [84][2700/3757] lr: 1.0000e-04 eta: 11:19:55 time: 0.5816 data_time: 0.0226 memory: 17350 grad_norm: 8.2187 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1047 loss: 1.1047 2022/07/24 15:36:20 - mmengine - INFO - Epoch(train) [84][2720/3757] lr: 1.0000e-04 eta: 11:19:42 time: 0.7157 data_time: 0.0212 memory: 17350 grad_norm: 8.4783 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0877 loss: 1.0877 2022/07/24 15:36:32 - mmengine - INFO - Epoch(train) [84][2740/3757] lr: 1.0000e-04 eta: 11:19:28 time: 0.5972 data_time: 0.0224 memory: 17350 grad_norm: 8.8938 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0679 loss: 1.0679 2022/07/24 15:36:47 - mmengine - INFO - Epoch(train) [84][2760/3757] lr: 1.0000e-04 eta: 11:19:15 time: 0.7506 data_time: 0.0223 memory: 17350 grad_norm: 8.5027 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8479 loss: 0.8479 2022/07/24 15:36:58 - mmengine - INFO - Epoch(train) [84][2780/3757] lr: 1.0000e-04 eta: 11:19:02 time: 0.5732 data_time: 0.0233 memory: 17350 grad_norm: 8.2344 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7943 loss: 0.7943 2022/07/24 15:37:13 - mmengine - INFO - Epoch(train) [84][2800/3757] lr: 1.0000e-04 eta: 11:18:49 time: 0.7494 data_time: 0.0215 memory: 17350 grad_norm: 8.3267 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0485 loss: 1.0485 2022/07/24 15:37:25 - mmengine - INFO - Epoch(train) [84][2820/3757] lr: 1.0000e-04 eta: 11:18:35 time: 0.5982 data_time: 0.0232 memory: 17350 grad_norm: 8.5954 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0322 loss: 1.0322 2022/07/24 15:37:40 - mmengine - INFO - Epoch(train) [84][2840/3757] lr: 1.0000e-04 eta: 11:18:22 time: 0.7235 data_time: 0.0230 memory: 17350 grad_norm: 8.8077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9682 loss: 0.9682 2022/07/24 15:37:52 - mmengine - INFO - Epoch(train) [84][2860/3757] lr: 1.0000e-04 eta: 11:18:08 time: 0.6081 data_time: 0.0240 memory: 17350 grad_norm: 8.7504 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0507 loss: 1.0507 2022/07/24 15:38:07 - mmengine - INFO - Epoch(train) [84][2880/3757] lr: 1.0000e-04 eta: 11:17:55 time: 0.7324 data_time: 0.0219 memory: 17350 grad_norm: 8.3325 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9259 loss: 0.9259 2022/07/24 15:38:19 - mmengine - INFO - Epoch(train) [84][2900/3757] lr: 1.0000e-04 eta: 11:17:42 time: 0.6020 data_time: 0.0218 memory: 17350 grad_norm: 8.7668 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0895 loss: 1.0895 2022/07/24 15:38:33 - mmengine - INFO - Epoch(train) [84][2920/3757] lr: 1.0000e-04 eta: 11:17:28 time: 0.7008 data_time: 0.0225 memory: 17350 grad_norm: 9.0417 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9780 loss: 0.9780 2022/07/24 15:38:45 - mmengine - INFO - Epoch(train) [84][2940/3757] lr: 1.0000e-04 eta: 11:17:15 time: 0.6087 data_time: 0.0325 memory: 17350 grad_norm: 8.5006 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9800 loss: 0.9800 2022/07/24 15:39:00 - mmengine - INFO - Epoch(train) [84][2960/3757] lr: 1.0000e-04 eta: 11:17:02 time: 0.7625 data_time: 0.0236 memory: 17350 grad_norm: 8.9625 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1710 loss: 1.1710 2022/07/24 15:39:12 - mmengine - INFO - Epoch(train) [84][2980/3757] lr: 1.0000e-04 eta: 11:16:48 time: 0.5633 data_time: 0.0244 memory: 17350 grad_norm: 8.8736 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8399 loss: 0.8399 2022/07/24 15:39:26 - mmengine - INFO - Epoch(train) [84][3000/3757] lr: 1.0000e-04 eta: 11:16:35 time: 0.7193 data_time: 0.0234 memory: 17350 grad_norm: 8.6137 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0096 loss: 1.0096 2022/07/24 15:39:38 - mmengine - INFO - Epoch(train) [84][3020/3757] lr: 1.0000e-04 eta: 11:16:22 time: 0.6222 data_time: 0.0219 memory: 17350 grad_norm: 8.4582 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9742 loss: 0.9742 2022/07/24 15:39:52 - mmengine - INFO - Epoch(train) [84][3040/3757] lr: 1.0000e-04 eta: 11:16:08 time: 0.6969 data_time: 0.0215 memory: 17350 grad_norm: 8.5981 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0823 loss: 1.0823 2022/07/24 15:40:05 - mmengine - INFO - Epoch(train) [84][3060/3757] lr: 1.0000e-04 eta: 11:15:55 time: 0.6071 data_time: 0.0245 memory: 17350 grad_norm: 8.6947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7938 loss: 0.7938 2022/07/24 15:40:19 - mmengine - INFO - Epoch(train) [84][3080/3757] lr: 1.0000e-04 eta: 11:15:42 time: 0.7220 data_time: 0.0212 memory: 17350 grad_norm: 8.7724 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1744 loss: 1.1744 2022/07/24 15:40:31 - mmengine - INFO - Epoch(train) [84][3100/3757] lr: 1.0000e-04 eta: 11:15:28 time: 0.5802 data_time: 0.0250 memory: 17350 grad_norm: 8.5141 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9735 loss: 0.9735 2022/07/24 15:40:45 - mmengine - INFO - Epoch(train) [84][3120/3757] lr: 1.0000e-04 eta: 11:15:15 time: 0.7346 data_time: 0.0245 memory: 17350 grad_norm: 8.5669 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0166 loss: 1.0166 2022/07/24 15:40:57 - mmengine - INFO - Epoch(train) [84][3140/3757] lr: 1.0000e-04 eta: 11:15:01 time: 0.6003 data_time: 0.0225 memory: 17350 grad_norm: 8.9507 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2009 loss: 1.2009 2022/07/24 15:41:12 - mmengine - INFO - Epoch(train) [84][3160/3757] lr: 1.0000e-04 eta: 11:14:48 time: 0.7258 data_time: 0.1480 memory: 17350 grad_norm: 8.7406 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1763 loss: 1.1763 2022/07/24 15:41:18 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 15:41:24 - mmengine - INFO - Epoch(train) [84][3180/3757] lr: 1.0000e-04 eta: 11:14:35 time: 0.6113 data_time: 0.1534 memory: 17350 grad_norm: 8.7049 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8792 loss: 0.8792 2022/07/24 15:41:39 - mmengine - INFO - Epoch(train) [84][3200/3757] lr: 1.0000e-04 eta: 11:14:21 time: 0.7244 data_time: 0.1505 memory: 17350 grad_norm: 8.4538 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1912 loss: 1.1912 2022/07/24 15:41:51 - mmengine - INFO - Epoch(train) [84][3220/3757] lr: 1.0000e-04 eta: 11:14:08 time: 0.6120 data_time: 0.0592 memory: 17350 grad_norm: 8.3149 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8646 loss: 0.8646 2022/07/24 15:42:05 - mmengine - INFO - Epoch(train) [84][3240/3757] lr: 1.0000e-04 eta: 11:13:55 time: 0.7155 data_time: 0.1265 memory: 17350 grad_norm: 8.6265 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9276 loss: 0.9276 2022/07/24 15:42:17 - mmengine - INFO - Epoch(train) [84][3260/3757] lr: 1.0000e-04 eta: 11:13:41 time: 0.5939 data_time: 0.0791 memory: 17350 grad_norm: 8.6666 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2096 loss: 1.2096 2022/07/24 15:42:32 - mmengine - INFO - Epoch(train) [84][3280/3757] lr: 1.0000e-04 eta: 11:13:28 time: 0.7261 data_time: 0.2175 memory: 17350 grad_norm: 8.9414 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1451 loss: 1.1451 2022/07/24 15:42:45 - mmengine - INFO - Epoch(train) [84][3300/3757] lr: 1.0000e-04 eta: 11:13:15 time: 0.6400 data_time: 0.1897 memory: 17350 grad_norm: 9.0249 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0222 loss: 1.0222 2022/07/24 15:42:59 - mmengine - INFO - Epoch(train) [84][3320/3757] lr: 1.0000e-04 eta: 11:13:02 time: 0.7321 data_time: 0.2041 memory: 17350 grad_norm: 8.8507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9080 loss: 0.9080 2022/07/24 15:43:11 - mmengine - INFO - Epoch(train) [84][3340/3757] lr: 1.0000e-04 eta: 11:12:48 time: 0.5717 data_time: 0.1242 memory: 17350 grad_norm: 8.4676 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8518 loss: 0.8518 2022/07/24 15:43:26 - mmengine - INFO - Epoch(train) [84][3360/3757] lr: 1.0000e-04 eta: 11:12:35 time: 0.7447 data_time: 0.2984 memory: 17350 grad_norm: 8.6592 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0379 loss: 1.0379 2022/07/24 15:43:37 - mmengine - INFO - Epoch(train) [84][3380/3757] lr: 1.0000e-04 eta: 11:12:21 time: 0.5905 data_time: 0.1624 memory: 17350 grad_norm: 8.7435 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8901 loss: 0.8901 2022/07/24 15:43:52 - mmengine - INFO - Epoch(train) [84][3400/3757] lr: 1.0000e-04 eta: 11:12:08 time: 0.7366 data_time: 0.3053 memory: 17350 grad_norm: 8.6062 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9624 loss: 0.9624 2022/07/24 15:44:04 - mmengine - INFO - Epoch(train) [84][3420/3757] lr: 1.0000e-04 eta: 11:11:54 time: 0.6074 data_time: 0.1672 memory: 17350 grad_norm: 8.8049 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8193 loss: 0.8193 2022/07/24 15:44:19 - mmengine - INFO - Epoch(train) [84][3440/3757] lr: 1.0000e-04 eta: 11:11:41 time: 0.7273 data_time: 0.1692 memory: 17350 grad_norm: 8.4905 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7223 loss: 0.7223 2022/07/24 15:44:31 - mmengine - INFO - Epoch(train) [84][3460/3757] lr: 1.0000e-04 eta: 11:11:28 time: 0.5941 data_time: 0.0422 memory: 17350 grad_norm: 8.4793 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2047 loss: 1.2047 2022/07/24 15:44:45 - mmengine - INFO - Epoch(train) [84][3480/3757] lr: 1.0000e-04 eta: 11:11:15 time: 0.7080 data_time: 0.0852 memory: 17350 grad_norm: 8.3489 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0454 loss: 1.0454 2022/07/24 15:44:58 - mmengine - INFO - Epoch(train) [84][3500/3757] lr: 1.0000e-04 eta: 11:11:01 time: 0.6585 data_time: 0.0217 memory: 17350 grad_norm: 8.5960 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8805 loss: 0.8805 2022/07/24 15:45:11 - mmengine - INFO - Epoch(train) [84][3520/3757] lr: 1.0000e-04 eta: 11:10:48 time: 0.6334 data_time: 0.0222 memory: 17350 grad_norm: 8.2060 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9822 loss: 0.9822 2022/07/24 15:45:25 - mmengine - INFO - Epoch(train) [84][3540/3757] lr: 1.0000e-04 eta: 11:10:35 time: 0.7078 data_time: 0.0248 memory: 17350 grad_norm: 8.6424 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1068 loss: 1.1068 2022/07/24 15:45:37 - mmengine - INFO - Epoch(train) [84][3560/3757] lr: 1.0000e-04 eta: 11:10:21 time: 0.6127 data_time: 0.0230 memory: 17350 grad_norm: 8.6158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8552 loss: 0.8552 2022/07/24 15:45:51 - mmengine - INFO - Epoch(train) [84][3580/3757] lr: 1.0000e-04 eta: 11:10:08 time: 0.6692 data_time: 0.0205 memory: 17350 grad_norm: 8.7011 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8005 loss: 0.8005 2022/07/24 15:46:04 - mmengine - INFO - Epoch(train) [84][3600/3757] lr: 1.0000e-04 eta: 11:09:54 time: 0.6797 data_time: 0.0235 memory: 17350 grad_norm: 8.7713 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7493 loss: 0.7493 2022/07/24 15:46:18 - mmengine - INFO - Epoch(train) [84][3620/3757] lr: 1.0000e-04 eta: 11:09:41 time: 0.6721 data_time: 0.0228 memory: 17350 grad_norm: 9.0933 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1789 loss: 1.1789 2022/07/24 15:46:31 - mmengine - INFO - Epoch(train) [84][3640/3757] lr: 1.0000e-04 eta: 11:09:28 time: 0.6445 data_time: 0.0161 memory: 17350 grad_norm: 8.6594 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7528 loss: 0.7528 2022/07/24 15:46:45 - mmengine - INFO - Epoch(train) [84][3660/3757] lr: 1.0000e-04 eta: 11:09:15 time: 0.7155 data_time: 0.0237 memory: 17350 grad_norm: 8.4602 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9318 loss: 0.9318 2022/07/24 15:46:58 - mmengine - INFO - Epoch(train) [84][3680/3757] lr: 1.0000e-04 eta: 11:09:01 time: 0.6478 data_time: 0.0242 memory: 17350 grad_norm: 8.8185 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0135 loss: 1.0135 2022/07/24 15:47:11 - mmengine - INFO - Epoch(train) [84][3700/3757] lr: 1.0000e-04 eta: 11:08:48 time: 0.6589 data_time: 0.0218 memory: 17350 grad_norm: 8.5432 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8651 loss: 0.8651 2022/07/24 15:47:24 - mmengine - INFO - Epoch(train) [84][3720/3757] lr: 1.0000e-04 eta: 11:08:34 time: 0.6608 data_time: 0.0251 memory: 17350 grad_norm: 8.8222 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9570 loss: 0.9570 2022/07/24 15:47:38 - mmengine - INFO - Epoch(train) [84][3740/3757] lr: 1.0000e-04 eta: 11:08:21 time: 0.6802 data_time: 0.0240 memory: 17350 grad_norm: 8.5741 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1021 loss: 1.1021 2022/07/24 15:47:46 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 15:47:46 - mmengine - INFO - Epoch(train) [84][3757/3757] lr: 1.0000e-04 eta: 11:08:21 time: 0.4850 data_time: 0.0219 memory: 17350 grad_norm: 8.5600 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8999 loss: 0.8999 2022/07/24 15:48:02 - mmengine - INFO - Epoch(val) [84][20/310] eta: 0:04:01 time: 0.8325 data_time: 0.7154 memory: 3406 2022/07/24 15:48:13 - mmengine - INFO - Epoch(val) [84][40/310] eta: 0:02:26 time: 0.5414 data_time: 0.4291 memory: 3406 2022/07/24 15:48:29 - mmengine - INFO - Epoch(val) [84][60/310] eta: 0:03:13 time: 0.7748 data_time: 0.6580 memory: 3406 2022/07/24 15:48:39 - mmengine - INFO - Epoch(val) [84][80/310] eta: 0:02:01 time: 0.5291 data_time: 0.4166 memory: 3406 2022/07/24 15:48:54 - mmengine - INFO - Epoch(val) [84][100/310] eta: 0:02:35 time: 0.7417 data_time: 0.6259 memory: 3406 2022/07/24 15:49:05 - mmengine - INFO - Epoch(val) [84][120/310] eta: 0:01:47 time: 0.5660 data_time: 0.4538 memory: 3406 2022/07/24 15:49:21 - mmengine - INFO - Epoch(val) [84][140/310] eta: 0:02:15 time: 0.7971 data_time: 0.6809 memory: 3406 2022/07/24 15:49:32 - mmengine - INFO - Epoch(val) [84][160/310] eta: 0:01:21 time: 0.5450 data_time: 0.4327 memory: 3406 2022/07/24 15:49:48 - mmengine - INFO - Epoch(val) [84][180/310] eta: 0:01:41 time: 0.7843 data_time: 0.6708 memory: 3406 2022/07/24 15:49:59 - mmengine - INFO - Epoch(val) [84][200/310] eta: 0:00:58 time: 0.5316 data_time: 0.4195 memory: 3406 2022/07/24 15:50:14 - mmengine - INFO - Epoch(val) [84][220/310] eta: 0:01:11 time: 0.7913 data_time: 0.6768 memory: 3406 2022/07/24 15:50:25 - mmengine - INFO - Epoch(val) [84][240/310] eta: 0:00:37 time: 0.5371 data_time: 0.4235 memory: 3406 2022/07/24 15:50:40 - mmengine - INFO - Epoch(val) [84][260/310] eta: 0:00:38 time: 0.7627 data_time: 0.6370 memory: 3406 2022/07/24 15:50:51 - mmengine - INFO - Epoch(val) [84][280/310] eta: 0:00:16 time: 0.5465 data_time: 0.4345 memory: 3406 2022/07/24 15:51:06 - mmengine - INFO - Epoch(val) [84][300/310] eta: 0:00:07 time: 0.7399 data_time: 0.6254 memory: 3406 2022/07/24 15:51:11 - mmengine - INFO - Epoch(val) [84][310/310] acc/top1: 0.6896 acc/top5: 0.8779 acc/mean1: 0.6895 2022/07/24 15:51:11 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_84.pth is removed 2022/07/24 15:51:14 - mmengine - INFO - The best checkpoint with 0.6896 acc/top1 at 85 epoch is saved to best_acc/top1_epoch_85.pth. 2022/07/24 15:51:31 - mmengine - INFO - Epoch(train) [85][20/3757] lr: 1.0000e-04 eta: 11:07:55 time: 0.8724 data_time: 0.5312 memory: 17350 grad_norm: 8.6547 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0197 loss: 1.0197 2022/07/24 15:51:43 - mmengine - INFO - Epoch(train) [85][40/3757] lr: 1.0000e-04 eta: 11:07:41 time: 0.5893 data_time: 0.2599 memory: 17350 grad_norm: 8.7166 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9388 loss: 0.9388 2022/07/24 15:51:58 - mmengine - INFO - Epoch(train) [85][60/3757] lr: 1.0000e-04 eta: 11:07:28 time: 0.7225 data_time: 0.3849 memory: 17350 grad_norm: 8.6142 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1473 loss: 1.1473 2022/07/24 15:52:09 - mmengine - INFO - Epoch(train) [85][80/3757] lr: 1.0000e-04 eta: 11:07:15 time: 0.5845 data_time: 0.2509 memory: 17350 grad_norm: 8.5136 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8886 loss: 0.8886 2022/07/24 15:52:24 - mmengine - INFO - Epoch(train) [85][100/3757] lr: 1.0000e-04 eta: 11:07:02 time: 0.7407 data_time: 0.4092 memory: 17350 grad_norm: 8.6823 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0868 loss: 1.0868 2022/07/24 15:52:36 - mmengine - INFO - Epoch(train) [85][120/3757] lr: 1.0000e-04 eta: 11:06:48 time: 0.5891 data_time: 0.2567 memory: 17350 grad_norm: 8.2298 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1243 loss: 1.1243 2022/07/24 15:52:50 - mmengine - INFO - Epoch(train) [85][140/3757] lr: 1.0000e-04 eta: 11:06:35 time: 0.7127 data_time: 0.3792 memory: 17350 grad_norm: 8.8201 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1536 loss: 1.1536 2022/07/24 15:53:03 - mmengine - INFO - Epoch(train) [85][160/3757] lr: 1.0000e-04 eta: 11:06:21 time: 0.6463 data_time: 0.2575 memory: 17350 grad_norm: 8.5733 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2463 loss: 1.2463 2022/07/24 15:53:17 - mmengine - INFO - Epoch(train) [85][180/3757] lr: 1.0000e-04 eta: 11:06:08 time: 0.7087 data_time: 0.2715 memory: 17350 grad_norm: 8.9399 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0218 loss: 1.0218 2022/07/24 15:53:30 - mmengine - INFO - Epoch(train) [85][200/3757] lr: 1.0000e-04 eta: 11:05:55 time: 0.6291 data_time: 0.1649 memory: 17350 grad_norm: 8.6697 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7853 loss: 0.7853 2022/07/24 15:53:44 - mmengine - INFO - Epoch(train) [85][220/3757] lr: 1.0000e-04 eta: 11:05:42 time: 0.7190 data_time: 0.2786 memory: 17350 grad_norm: 8.9727 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2757 loss: 1.2757 2022/07/24 15:53:57 - mmengine - INFO - Epoch(train) [85][240/3757] lr: 1.0000e-04 eta: 11:05:28 time: 0.6291 data_time: 0.1928 memory: 17350 grad_norm: 8.8728 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9306 loss: 0.9306 2022/07/24 15:54:10 - mmengine - INFO - Epoch(train) [85][260/3757] lr: 1.0000e-04 eta: 11:05:15 time: 0.6486 data_time: 0.1347 memory: 17350 grad_norm: 8.8641 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1808 loss: 1.1808 2022/07/24 15:54:23 - mmengine - INFO - Epoch(train) [85][280/3757] lr: 1.0000e-04 eta: 11:05:01 time: 0.6705 data_time: 0.1112 memory: 17350 grad_norm: 8.3289 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0528 loss: 1.0528 2022/07/24 15:54:36 - mmengine - INFO - Epoch(train) [85][300/3757] lr: 1.0000e-04 eta: 11:04:48 time: 0.6316 data_time: 0.1390 memory: 17350 grad_norm: 8.5602 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8161 loss: 0.8161 2022/07/24 15:54:50 - mmengine - INFO - Epoch(train) [85][320/3757] lr: 1.0000e-04 eta: 11:04:35 time: 0.6961 data_time: 0.0406 memory: 17350 grad_norm: 8.7307 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9092 loss: 0.9092 2022/07/24 15:55:02 - mmengine - INFO - Epoch(train) [85][340/3757] lr: 1.0000e-04 eta: 11:04:21 time: 0.6049 data_time: 0.0289 memory: 17350 grad_norm: 8.9303 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3172 loss: 1.3172 2022/07/24 15:55:17 - mmengine - INFO - Epoch(train) [85][360/3757] lr: 1.0000e-04 eta: 11:04:08 time: 0.7684 data_time: 0.0274 memory: 17350 grad_norm: 8.4851 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9803 loss: 0.9803 2022/07/24 15:55:30 - mmengine - INFO - Epoch(train) [85][380/3757] lr: 1.0000e-04 eta: 11:03:55 time: 0.6216 data_time: 0.0231 memory: 17350 grad_norm: 8.5553 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7793 loss: 0.7793 2022/07/24 15:55:44 - mmengine - INFO - Epoch(train) [85][400/3757] lr: 1.0000e-04 eta: 11:03:41 time: 0.7154 data_time: 0.0221 memory: 17350 grad_norm: 8.2567 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8429 loss: 0.8429 2022/07/24 15:55:51 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 15:55:57 - mmengine - INFO - Epoch(train) [85][420/3757] lr: 1.0000e-04 eta: 11:03:28 time: 0.6139 data_time: 0.0341 memory: 17350 grad_norm: 9.0249 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9259 loss: 0.9259 2022/07/24 15:56:11 - mmengine - INFO - Epoch(train) [85][440/3757] lr: 1.0000e-04 eta: 11:03:15 time: 0.7134 data_time: 0.0215 memory: 17350 grad_norm: 8.3483 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9350 loss: 0.9350 2022/07/24 15:56:23 - mmengine - INFO - Epoch(train) [85][460/3757] lr: 1.0000e-04 eta: 11:03:01 time: 0.5942 data_time: 0.0233 memory: 17350 grad_norm: 8.4766 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8033 loss: 0.8033 2022/07/24 15:56:37 - mmengine - INFO - Epoch(train) [85][480/3757] lr: 1.0000e-04 eta: 11:02:48 time: 0.6983 data_time: 0.0230 memory: 17350 grad_norm: 8.6370 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0749 loss: 1.0749 2022/07/24 15:56:51 - mmengine - INFO - Epoch(train) [85][500/3757] lr: 1.0000e-04 eta: 11:02:35 time: 0.6910 data_time: 0.0222 memory: 17350 grad_norm: 8.7097 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1042 loss: 1.1042 2022/07/24 15:57:04 - mmengine - INFO - Epoch(train) [85][520/3757] lr: 1.0000e-04 eta: 11:02:21 time: 0.6607 data_time: 0.0249 memory: 17350 grad_norm: 8.2402 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0198 loss: 1.0198 2022/07/24 15:57:18 - mmengine - INFO - Epoch(train) [85][540/3757] lr: 1.0000e-04 eta: 11:02:08 time: 0.6965 data_time: 0.0234 memory: 17350 grad_norm: 8.3115 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2482 loss: 1.2482 2022/07/24 15:57:30 - mmengine - INFO - Epoch(train) [85][560/3757] lr: 1.0000e-04 eta: 11:01:55 time: 0.6125 data_time: 0.0223 memory: 17350 grad_norm: 8.5813 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2056 loss: 1.2056 2022/07/24 15:57:44 - mmengine - INFO - Epoch(train) [85][580/3757] lr: 1.0000e-04 eta: 11:01:41 time: 0.6879 data_time: 0.0214 memory: 17350 grad_norm: 8.9903 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9935 loss: 0.9935 2022/07/24 15:57:57 - mmengine - INFO - Epoch(train) [85][600/3757] lr: 1.0000e-04 eta: 11:01:28 time: 0.6507 data_time: 0.0221 memory: 17350 grad_norm: 8.5673 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9358 loss: 0.9358 2022/07/24 15:58:11 - mmengine - INFO - Epoch(train) [85][620/3757] lr: 1.0000e-04 eta: 11:01:15 time: 0.6876 data_time: 0.0218 memory: 17350 grad_norm: 8.6144 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9109 loss: 0.9109 2022/07/24 15:58:22 - mmengine - INFO - Epoch(train) [85][640/3757] lr: 1.0000e-04 eta: 11:01:01 time: 0.5900 data_time: 0.0221 memory: 17350 grad_norm: 8.9760 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2500 loss: 1.2500 2022/07/24 15:58:37 - mmengine - INFO - Epoch(train) [85][660/3757] lr: 1.0000e-04 eta: 11:00:48 time: 0.7536 data_time: 0.0231 memory: 17350 grad_norm: 8.8063 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9225 loss: 0.9225 2022/07/24 15:58:50 - mmengine - INFO - Epoch(train) [85][680/3757] lr: 1.0000e-04 eta: 11:00:34 time: 0.6123 data_time: 0.0236 memory: 17350 grad_norm: 8.7234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9101 loss: 0.9101 2022/07/24 15:59:04 - mmengine - INFO - Epoch(train) [85][700/3757] lr: 1.0000e-04 eta: 11:00:21 time: 0.7166 data_time: 0.0217 memory: 17350 grad_norm: 8.5496 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7582 loss: 0.7582 2022/07/24 15:59:16 - mmengine - INFO - Epoch(train) [85][720/3757] lr: 1.0000e-04 eta: 11:00:08 time: 0.6016 data_time: 0.0203 memory: 17350 grad_norm: 8.8216 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1296 loss: 1.1296 2022/07/24 15:59:31 - mmengine - INFO - Epoch(train) [85][740/3757] lr: 1.0000e-04 eta: 10:59:55 time: 0.7420 data_time: 0.0234 memory: 17350 grad_norm: 8.4979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8773 loss: 0.8773 2022/07/24 15:59:43 - mmengine - INFO - Epoch(train) [85][760/3757] lr: 1.0000e-04 eta: 10:59:41 time: 0.5792 data_time: 0.0246 memory: 17350 grad_norm: 9.1537 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0864 loss: 1.0864 2022/07/24 15:59:57 - mmengine - INFO - Epoch(train) [85][780/3757] lr: 1.0000e-04 eta: 10:59:28 time: 0.7229 data_time: 0.0228 memory: 17350 grad_norm: 8.7851 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2191 loss: 1.2191 2022/07/24 16:00:10 - mmengine - INFO - Epoch(train) [85][800/3757] lr: 1.0000e-04 eta: 10:59:14 time: 0.6599 data_time: 0.0231 memory: 17350 grad_norm: 8.4545 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8098 loss: 0.8098 2022/07/24 16:00:24 - mmengine - INFO - Epoch(train) [85][820/3757] lr: 1.0000e-04 eta: 10:59:01 time: 0.7086 data_time: 0.0228 memory: 17350 grad_norm: 8.6701 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8905 loss: 0.8905 2022/07/24 16:00:37 - mmengine - INFO - Epoch(train) [85][840/3757] lr: 1.0000e-04 eta: 10:58:48 time: 0.6042 data_time: 0.0223 memory: 17350 grad_norm: 8.4954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8378 loss: 0.8378 2022/07/24 16:00:51 - mmengine - INFO - Epoch(train) [85][860/3757] lr: 1.0000e-04 eta: 10:58:35 time: 0.7267 data_time: 0.0239 memory: 17350 grad_norm: 8.5298 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8973 loss: 0.8973 2022/07/24 16:01:03 - mmengine - INFO - Epoch(train) [85][880/3757] lr: 1.0000e-04 eta: 10:58:21 time: 0.5974 data_time: 0.0248 memory: 17350 grad_norm: 8.6856 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2051 loss: 1.2051 2022/07/24 16:01:17 - mmengine - INFO - Epoch(train) [85][900/3757] lr: 1.0000e-04 eta: 10:58:08 time: 0.6986 data_time: 0.0228 memory: 17350 grad_norm: 8.9325 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8877 loss: 0.8877 2022/07/24 16:01:29 - mmengine - INFO - Epoch(train) [85][920/3757] lr: 1.0000e-04 eta: 10:57:54 time: 0.5929 data_time: 0.0228 memory: 17350 grad_norm: 8.9156 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1556 loss: 1.1556 2022/07/24 16:01:43 - mmengine - INFO - Epoch(train) [85][940/3757] lr: 1.0000e-04 eta: 10:57:41 time: 0.6951 data_time: 0.0164 memory: 17350 grad_norm: 8.8066 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7917 loss: 0.7917 2022/07/24 16:01:55 - mmengine - INFO - Epoch(train) [85][960/3757] lr: 1.0000e-04 eta: 10:57:27 time: 0.5929 data_time: 0.0223 memory: 17350 grad_norm: 8.5048 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7735 loss: 0.7735 2022/07/24 16:02:08 - mmengine - INFO - Epoch(train) [85][980/3757] lr: 1.0000e-04 eta: 10:57:14 time: 0.6729 data_time: 0.0224 memory: 17350 grad_norm: 8.9136 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1763 loss: 1.1763 2022/07/24 16:02:22 - mmengine - INFO - Epoch(train) [85][1000/3757] lr: 1.0000e-04 eta: 10:57:01 time: 0.6887 data_time: 0.0208 memory: 17350 grad_norm: 8.5649 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9890 loss: 0.9890 2022/07/24 16:02:35 - mmengine - INFO - Epoch(train) [85][1020/3757] lr: 1.0000e-04 eta: 10:56:47 time: 0.6240 data_time: 0.0272 memory: 17350 grad_norm: 8.9413 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0966 loss: 1.0966 2022/07/24 16:02:48 - mmengine - INFO - Epoch(train) [85][1040/3757] lr: 1.0000e-04 eta: 10:56:34 time: 0.6542 data_time: 0.0235 memory: 17350 grad_norm: 8.9202 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7827 loss: 0.7827 2022/07/24 16:03:01 - mmengine - INFO - Epoch(train) [85][1060/3757] lr: 1.0000e-04 eta: 10:56:21 time: 0.6829 data_time: 0.1305 memory: 17350 grad_norm: 8.6552 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9965 loss: 0.9965 2022/07/24 16:03:14 - mmengine - INFO - Epoch(train) [85][1080/3757] lr: 1.0000e-04 eta: 10:56:07 time: 0.6304 data_time: 0.0728 memory: 17350 grad_norm: 8.7973 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9496 loss: 0.9496 2022/07/24 16:03:28 - mmengine - INFO - Epoch(train) [85][1100/3757] lr: 1.0000e-04 eta: 10:55:54 time: 0.7008 data_time: 0.1469 memory: 17350 grad_norm: 8.4903 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1340 loss: 1.1340 2022/07/24 16:03:41 - mmengine - INFO - Epoch(train) [85][1120/3757] lr: 1.0000e-04 eta: 10:55:40 time: 0.6452 data_time: 0.0663 memory: 17350 grad_norm: 9.0397 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1958 loss: 1.1958 2022/07/24 16:03:55 - mmengine - INFO - Epoch(train) [85][1140/3757] lr: 1.0000e-04 eta: 10:55:27 time: 0.6990 data_time: 0.0499 memory: 17350 grad_norm: 8.5473 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1374 loss: 1.1374 2022/07/24 16:04:07 - mmengine - INFO - Epoch(train) [85][1160/3757] lr: 1.0000e-04 eta: 10:55:14 time: 0.6205 data_time: 0.0242 memory: 17350 grad_norm: 8.8402 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8962 loss: 0.8962 2022/07/24 16:04:21 - mmengine - INFO - Epoch(train) [85][1180/3757] lr: 1.0000e-04 eta: 10:55:01 time: 0.7046 data_time: 0.0733 memory: 17350 grad_norm: 8.3844 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7442 loss: 0.7442 2022/07/24 16:04:34 - mmengine - INFO - Epoch(train) [85][1200/3757] lr: 1.0000e-04 eta: 10:54:47 time: 0.6270 data_time: 0.0834 memory: 17350 grad_norm: 8.6705 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7139 loss: 0.7139 2022/07/24 16:04:49 - mmengine - INFO - Epoch(train) [85][1220/3757] lr: 1.0000e-04 eta: 10:54:34 time: 0.7484 data_time: 0.0352 memory: 17350 grad_norm: 8.7869 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0256 loss: 1.0256 2022/07/24 16:05:01 - mmengine - INFO - Epoch(train) [85][1240/3757] lr: 1.0000e-04 eta: 10:54:20 time: 0.5848 data_time: 0.0236 memory: 17350 grad_norm: 8.8824 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8833 loss: 0.8833 2022/07/24 16:05:15 - mmengine - INFO - Epoch(train) [85][1260/3757] lr: 1.0000e-04 eta: 10:54:07 time: 0.7308 data_time: 0.0241 memory: 17350 grad_norm: 8.5013 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9728 loss: 0.9728 2022/07/24 16:05:27 - mmengine - INFO - Epoch(train) [85][1280/3757] lr: 1.0000e-04 eta: 10:53:54 time: 0.6066 data_time: 0.0688 memory: 17350 grad_norm: 8.2239 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9160 loss: 0.9160 2022/07/24 16:05:42 - mmengine - INFO - Epoch(train) [85][1300/3757] lr: 1.0000e-04 eta: 10:53:41 time: 0.7429 data_time: 0.0400 memory: 17350 grad_norm: 8.9081 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0413 loss: 1.0413 2022/07/24 16:05:54 - mmengine - INFO - Epoch(train) [85][1320/3757] lr: 1.0000e-04 eta: 10:53:27 time: 0.6041 data_time: 0.0245 memory: 17350 grad_norm: 8.2033 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8560 loss: 0.8560 2022/07/24 16:06:08 - mmengine - INFO - Epoch(train) [85][1340/3757] lr: 1.0000e-04 eta: 10:53:14 time: 0.6747 data_time: 0.0284 memory: 17350 grad_norm: 8.9578 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1950 loss: 1.1950 2022/07/24 16:06:20 - mmengine - INFO - Epoch(train) [85][1360/3757] lr: 1.0000e-04 eta: 10:53:00 time: 0.6172 data_time: 0.0220 memory: 17350 grad_norm: 8.8708 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9805 loss: 0.9805 2022/07/24 16:06:34 - mmengine - INFO - Epoch(train) [85][1380/3757] lr: 1.0000e-04 eta: 10:52:47 time: 0.7063 data_time: 0.0234 memory: 17350 grad_norm: 8.9418 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9151 loss: 0.9151 2022/07/24 16:06:47 - mmengine - INFO - Epoch(train) [85][1400/3757] lr: 1.0000e-04 eta: 10:52:34 time: 0.6386 data_time: 0.0275 memory: 17350 grad_norm: 8.4228 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7357 loss: 0.7357 2022/07/24 16:06:55 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 16:07:00 - mmengine - INFO - Epoch(train) [85][1420/3757] lr: 1.0000e-04 eta: 10:52:20 time: 0.6591 data_time: 0.0267 memory: 17350 grad_norm: 8.8718 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0004 loss: 1.0004 2022/07/24 16:07:15 - mmengine - INFO - Epoch(train) [85][1440/3757] lr: 1.0000e-04 eta: 10:52:07 time: 0.7176 data_time: 0.0294 memory: 17350 grad_norm: 8.6044 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9371 loss: 0.9371 2022/07/24 16:07:27 - mmengine - INFO - Epoch(train) [85][1460/3757] lr: 1.0000e-04 eta: 10:51:54 time: 0.6056 data_time: 0.0251 memory: 17350 grad_norm: 9.0384 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1583 loss: 1.1583 2022/07/24 16:07:41 - mmengine - INFO - Epoch(train) [85][1480/3757] lr: 1.0000e-04 eta: 10:51:40 time: 0.7060 data_time: 0.0216 memory: 17350 grad_norm: 9.1737 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1651 loss: 1.1651 2022/07/24 16:07:54 - mmengine - INFO - Epoch(train) [85][1500/3757] lr: 1.0000e-04 eta: 10:51:27 time: 0.6526 data_time: 0.0247 memory: 17350 grad_norm: 8.4374 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0236 loss: 1.0236 2022/07/24 16:08:08 - mmengine - INFO - Epoch(train) [85][1520/3757] lr: 1.0000e-04 eta: 10:51:14 time: 0.6782 data_time: 0.0215 memory: 17350 grad_norm: 8.7449 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9656 loss: 0.9656 2022/07/24 16:08:20 - mmengine - INFO - Epoch(train) [85][1540/3757] lr: 1.0000e-04 eta: 10:51:00 time: 0.6334 data_time: 0.0241 memory: 17350 grad_norm: 8.9154 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0124 loss: 1.0124 2022/07/24 16:08:35 - mmengine - INFO - Epoch(train) [85][1560/3757] lr: 1.0000e-04 eta: 10:50:47 time: 0.7222 data_time: 0.0245 memory: 17350 grad_norm: 8.7971 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0485 loss: 1.0485 2022/07/24 16:08:47 - mmengine - INFO - Epoch(train) [85][1580/3757] lr: 1.0000e-04 eta: 10:50:34 time: 0.6046 data_time: 0.0238 memory: 17350 grad_norm: 8.7029 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8259 loss: 0.8259 2022/07/24 16:09:02 - mmengine - INFO - Epoch(train) [85][1600/3757] lr: 1.0000e-04 eta: 10:50:20 time: 0.7228 data_time: 0.0223 memory: 17350 grad_norm: 8.8648 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9172 loss: 0.9172 2022/07/24 16:09:14 - mmengine - INFO - Epoch(train) [85][1620/3757] lr: 1.0000e-04 eta: 10:50:07 time: 0.6065 data_time: 0.0296 memory: 17350 grad_norm: 8.5139 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8343 loss: 0.8343 2022/07/24 16:09:28 - mmengine - INFO - Epoch(train) [85][1640/3757] lr: 1.0000e-04 eta: 10:49:54 time: 0.7076 data_time: 0.0140 memory: 17350 grad_norm: 8.8787 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0598 loss: 1.0598 2022/07/24 16:09:41 - mmengine - INFO - Epoch(train) [85][1660/3757] lr: 1.0000e-04 eta: 10:49:40 time: 0.6381 data_time: 0.0226 memory: 17350 grad_norm: 8.8681 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8250 loss: 0.8250 2022/07/24 16:09:54 - mmengine - INFO - Epoch(train) [85][1680/3757] lr: 1.0000e-04 eta: 10:49:27 time: 0.6636 data_time: 0.0216 memory: 17350 grad_norm: 8.5972 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9996 loss: 0.9996 2022/07/24 16:10:07 - mmengine - INFO - Epoch(train) [85][1700/3757] lr: 1.0000e-04 eta: 10:49:13 time: 0.6599 data_time: 0.0225 memory: 17350 grad_norm: 8.6372 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1751 loss: 1.1751 2022/07/24 16:10:22 - mmengine - INFO - Epoch(train) [85][1720/3757] lr: 1.0000e-04 eta: 10:49:00 time: 0.7283 data_time: 0.0241 memory: 17350 grad_norm: 8.6174 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7376 loss: 0.7376 2022/07/24 16:10:34 - mmengine - INFO - Epoch(train) [85][1740/3757] lr: 1.0000e-04 eta: 10:48:47 time: 0.5925 data_time: 0.0252 memory: 17350 grad_norm: 8.6257 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0413 loss: 1.0413 2022/07/24 16:10:47 - mmengine - INFO - Epoch(train) [85][1760/3757] lr: 1.0000e-04 eta: 10:48:33 time: 0.6565 data_time: 0.0236 memory: 17350 grad_norm: 8.5372 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8259 loss: 0.8259 2022/07/24 16:11:01 - mmengine - INFO - Epoch(train) [85][1780/3757] lr: 1.0000e-04 eta: 10:48:20 time: 0.7227 data_time: 0.0233 memory: 17350 grad_norm: 8.7255 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1271 loss: 1.1271 2022/07/24 16:11:13 - mmengine - INFO - Epoch(train) [85][1800/3757] lr: 1.0000e-04 eta: 10:48:07 time: 0.6127 data_time: 0.0237 memory: 17350 grad_norm: 9.3009 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9430 loss: 0.9430 2022/07/24 16:11:27 - mmengine - INFO - Epoch(train) [85][1820/3757] lr: 1.0000e-04 eta: 10:47:53 time: 0.6813 data_time: 0.0227 memory: 17350 grad_norm: 8.7470 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8714 loss: 0.8714 2022/07/24 16:11:40 - mmengine - INFO - Epoch(train) [85][1840/3757] lr: 1.0000e-04 eta: 10:47:40 time: 0.6338 data_time: 0.0227 memory: 17350 grad_norm: 8.8753 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0362 loss: 1.0362 2022/07/24 16:11:54 - mmengine - INFO - Epoch(train) [85][1860/3757] lr: 1.0000e-04 eta: 10:47:27 time: 0.7067 data_time: 0.0225 memory: 17350 grad_norm: 9.2308 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9651 loss: 0.9651 2022/07/24 16:12:07 - mmengine - INFO - Epoch(train) [85][1880/3757] lr: 1.0000e-04 eta: 10:47:13 time: 0.6431 data_time: 0.0244 memory: 17350 grad_norm: 8.5186 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2126 loss: 1.2126 2022/07/24 16:12:20 - mmengine - INFO - Epoch(train) [85][1900/3757] lr: 1.0000e-04 eta: 10:47:00 time: 0.6533 data_time: 0.0235 memory: 17350 grad_norm: 9.1376 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1147 loss: 1.1147 2022/07/24 16:12:34 - mmengine - INFO - Epoch(train) [85][1920/3757] lr: 1.0000e-04 eta: 10:46:47 time: 0.6786 data_time: 0.0215 memory: 17350 grad_norm: 8.9690 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8576 loss: 0.8576 2022/07/24 16:12:46 - mmengine - INFO - Epoch(train) [85][1940/3757] lr: 1.0000e-04 eta: 10:46:33 time: 0.6319 data_time: 0.0245 memory: 17350 grad_norm: 9.0987 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9459 loss: 0.9459 2022/07/24 16:13:01 - mmengine - INFO - Epoch(train) [85][1960/3757] lr: 1.0000e-04 eta: 10:46:20 time: 0.7247 data_time: 0.0222 memory: 17350 grad_norm: 8.7918 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9986 loss: 0.9986 2022/07/24 16:13:13 - mmengine - INFO - Epoch(train) [85][1980/3757] lr: 1.0000e-04 eta: 10:46:07 time: 0.6258 data_time: 0.0250 memory: 17350 grad_norm: 8.6507 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8468 loss: 0.8468 2022/07/24 16:13:27 - mmengine - INFO - Epoch(train) [85][2000/3757] lr: 1.0000e-04 eta: 10:45:53 time: 0.6871 data_time: 0.0237 memory: 17350 grad_norm: 8.5941 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0504 loss: 1.0504 2022/07/24 16:13:40 - mmengine - INFO - Epoch(train) [85][2020/3757] lr: 1.0000e-04 eta: 10:45:40 time: 0.6369 data_time: 0.0252 memory: 17350 grad_norm: 9.1270 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9756 loss: 0.9756 2022/07/24 16:13:53 - mmengine - INFO - Epoch(train) [85][2040/3757] lr: 1.0000e-04 eta: 10:45:27 time: 0.6866 data_time: 0.0218 memory: 17350 grad_norm: 8.7109 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9118 loss: 0.9118 2022/07/24 16:14:06 - mmengine - INFO - Epoch(train) [85][2060/3757] lr: 1.0000e-04 eta: 10:45:13 time: 0.6261 data_time: 0.0353 memory: 17350 grad_norm: 8.8866 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7859 loss: 0.7859 2022/07/24 16:14:19 - mmengine - INFO - Epoch(train) [85][2080/3757] lr: 1.0000e-04 eta: 10:45:00 time: 0.6665 data_time: 0.0283 memory: 17350 grad_norm: 8.7215 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1004 loss: 1.1004 2022/07/24 16:14:33 - mmengine - INFO - Epoch(train) [85][2100/3757] lr: 1.0000e-04 eta: 10:44:47 time: 0.6844 data_time: 0.0422 memory: 17350 grad_norm: 8.6595 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7930 loss: 0.7930 2022/07/24 16:14:45 - mmengine - INFO - Epoch(train) [85][2120/3757] lr: 1.0000e-04 eta: 10:44:33 time: 0.6046 data_time: 0.0333 memory: 17350 grad_norm: 8.5621 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2322 loss: 1.2322 2022/07/24 16:15:01 - mmengine - INFO - Epoch(train) [85][2140/3757] lr: 1.0000e-04 eta: 10:44:20 time: 0.7686 data_time: 0.0779 memory: 17350 grad_norm: 8.3467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9392 loss: 0.9392 2022/07/24 16:15:13 - mmengine - INFO - Epoch(train) [85][2160/3757] lr: 1.0000e-04 eta: 10:44:06 time: 0.6046 data_time: 0.0282 memory: 17350 grad_norm: 9.2221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9872 loss: 0.9872 2022/07/24 16:15:27 - mmengine - INFO - Epoch(train) [85][2180/3757] lr: 1.0000e-04 eta: 10:43:53 time: 0.7233 data_time: 0.0251 memory: 17350 grad_norm: 8.7310 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8294 loss: 0.8294 2022/07/24 16:15:39 - mmengine - INFO - Epoch(train) [85][2200/3757] lr: 1.0000e-04 eta: 10:43:40 time: 0.5869 data_time: 0.0221 memory: 17350 grad_norm: 8.6602 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1183 loss: 1.1183 2022/07/24 16:15:53 - mmengine - INFO - Epoch(train) [85][2220/3757] lr: 1.0000e-04 eta: 10:43:26 time: 0.7055 data_time: 0.0454 memory: 17350 grad_norm: 8.9659 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8321 loss: 0.8321 2022/07/24 16:16:07 - mmengine - INFO - Epoch(train) [85][2240/3757] lr: 1.0000e-04 eta: 10:43:13 time: 0.7194 data_time: 0.0247 memory: 17350 grad_norm: 8.7710 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9826 loss: 0.9826 2022/07/24 16:16:20 - mmengine - INFO - Epoch(train) [85][2260/3757] lr: 1.0000e-04 eta: 10:43:00 time: 0.6170 data_time: 0.0507 memory: 17350 grad_norm: 8.8012 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2882 loss: 1.2882 2022/07/24 16:16:34 - mmengine - INFO - Epoch(train) [85][2280/3757] lr: 1.0000e-04 eta: 10:42:47 time: 0.7314 data_time: 0.0198 memory: 17350 grad_norm: 8.7679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9613 loss: 0.9613 2022/07/24 16:16:47 - mmengine - INFO - Epoch(train) [85][2300/3757] lr: 1.0000e-04 eta: 10:42:33 time: 0.6130 data_time: 0.0240 memory: 17350 grad_norm: 8.3767 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9836 loss: 0.9836 2022/07/24 16:17:01 - mmengine - INFO - Epoch(train) [85][2320/3757] lr: 1.0000e-04 eta: 10:42:20 time: 0.7014 data_time: 0.0207 memory: 17350 grad_norm: 8.6239 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0424 loss: 1.0424 2022/07/24 16:17:13 - mmengine - INFO - Epoch(train) [85][2340/3757] lr: 1.0000e-04 eta: 10:42:06 time: 0.6109 data_time: 0.0243 memory: 17350 grad_norm: 8.5115 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9573 loss: 0.9573 2022/07/24 16:17:27 - mmengine - INFO - Epoch(train) [85][2360/3757] lr: 1.0000e-04 eta: 10:41:53 time: 0.6786 data_time: 0.0241 memory: 17350 grad_norm: 8.6293 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0324 loss: 1.0324 2022/07/24 16:17:40 - mmengine - INFO - Epoch(train) [85][2380/3757] lr: 1.0000e-04 eta: 10:41:40 time: 0.6658 data_time: 0.0222 memory: 17350 grad_norm: 8.3803 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7367 loss: 0.7367 2022/07/24 16:17:53 - mmengine - INFO - Epoch(train) [85][2400/3757] lr: 1.0000e-04 eta: 10:41:26 time: 0.6646 data_time: 0.0270 memory: 17350 grad_norm: 9.0360 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2189 loss: 1.2189 2022/07/24 16:18:01 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 16:18:07 - mmengine - INFO - Epoch(train) [85][2420/3757] lr: 1.0000e-04 eta: 10:41:13 time: 0.6675 data_time: 0.0233 memory: 17350 grad_norm: 8.7695 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1107 loss: 1.1107 2022/07/24 16:18:19 - mmengine - INFO - Epoch(train) [85][2440/3757] lr: 1.0000e-04 eta: 10:41:00 time: 0.6381 data_time: 0.0216 memory: 17350 grad_norm: 8.6130 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0173 loss: 1.0173 2022/07/24 16:18:33 - mmengine - INFO - Epoch(train) [85][2460/3757] lr: 1.0000e-04 eta: 10:40:46 time: 0.6737 data_time: 0.0241 memory: 17350 grad_norm: 8.6554 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8992 loss: 0.8992 2022/07/24 16:18:46 - mmengine - INFO - Epoch(train) [85][2480/3757] lr: 1.0000e-04 eta: 10:40:33 time: 0.6438 data_time: 0.0227 memory: 17350 grad_norm: 8.4958 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9298 loss: 0.9298 2022/07/24 16:18:59 - mmengine - INFO - Epoch(train) [85][2500/3757] lr: 1.0000e-04 eta: 10:40:20 time: 0.6483 data_time: 0.0238 memory: 17350 grad_norm: 8.4269 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9372 loss: 0.9372 2022/07/24 16:19:12 - mmengine - INFO - Epoch(train) [85][2520/3757] lr: 1.0000e-04 eta: 10:40:06 time: 0.6637 data_time: 0.0249 memory: 17350 grad_norm: 8.7058 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0098 loss: 1.0098 2022/07/24 16:19:25 - mmengine - INFO - Epoch(train) [85][2540/3757] lr: 1.0000e-04 eta: 10:39:53 time: 0.6567 data_time: 0.0272 memory: 17350 grad_norm: 8.6887 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0314 loss: 1.0314 2022/07/24 16:19:39 - mmengine - INFO - Epoch(train) [85][2560/3757] lr: 1.0000e-04 eta: 10:39:39 time: 0.6747 data_time: 0.0238 memory: 17350 grad_norm: 8.7388 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8965 loss: 0.8965 2022/07/24 16:19:52 - mmengine - INFO - Epoch(train) [85][2580/3757] lr: 1.0000e-04 eta: 10:39:26 time: 0.6742 data_time: 0.0544 memory: 17350 grad_norm: 9.2012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0704 loss: 1.0704 2022/07/24 16:20:06 - mmengine - INFO - Epoch(train) [85][2600/3757] lr: 1.0000e-04 eta: 10:39:13 time: 0.6760 data_time: 0.0597 memory: 17350 grad_norm: 9.0083 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9298 loss: 0.9298 2022/07/24 16:20:20 - mmengine - INFO - Epoch(train) [85][2620/3757] lr: 1.0000e-04 eta: 10:39:00 time: 0.6908 data_time: 0.0852 memory: 17350 grad_norm: 8.7161 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0149 loss: 1.0149 2022/07/24 16:20:34 - mmengine - INFO - Epoch(train) [85][2640/3757] lr: 1.0000e-04 eta: 10:38:46 time: 0.6948 data_time: 0.0374 memory: 17350 grad_norm: 8.2766 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8852 loss: 0.8852 2022/07/24 16:20:45 - mmengine - INFO - Epoch(train) [85][2660/3757] lr: 1.0000e-04 eta: 10:38:33 time: 0.5885 data_time: 0.0343 memory: 17350 grad_norm: 8.3639 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8690 loss: 0.8690 2022/07/24 16:20:59 - mmengine - INFO - Epoch(train) [85][2680/3757] lr: 1.0000e-04 eta: 10:38:20 time: 0.7027 data_time: 0.0639 memory: 17350 grad_norm: 8.5335 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8086 loss: 0.8086 2022/07/24 16:21:12 - mmengine - INFO - Epoch(train) [85][2700/3757] lr: 1.0000e-04 eta: 10:38:06 time: 0.6420 data_time: 0.0243 memory: 17350 grad_norm: 8.7010 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8842 loss: 0.8842 2022/07/24 16:21:25 - mmengine - INFO - Epoch(train) [85][2720/3757] lr: 1.0000e-04 eta: 10:37:53 time: 0.6355 data_time: 0.0199 memory: 17350 grad_norm: 8.6711 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1362 loss: 1.1362 2022/07/24 16:21:39 - mmengine - INFO - Epoch(train) [85][2740/3757] lr: 1.0000e-04 eta: 10:37:39 time: 0.6914 data_time: 0.0230 memory: 17350 grad_norm: 8.4650 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0440 loss: 1.0440 2022/07/24 16:21:51 - mmengine - INFO - Epoch(train) [85][2760/3757] lr: 1.0000e-04 eta: 10:37:26 time: 0.6033 data_time: 0.0213 memory: 17350 grad_norm: 8.7832 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2666 loss: 1.2666 2022/07/24 16:22:06 - mmengine - INFO - Epoch(train) [85][2780/3757] lr: 1.0000e-04 eta: 10:37:13 time: 0.7296 data_time: 0.0580 memory: 17350 grad_norm: 9.4459 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1189 loss: 1.1189 2022/07/24 16:22:18 - mmengine - INFO - Epoch(train) [85][2800/3757] lr: 1.0000e-04 eta: 10:36:59 time: 0.6009 data_time: 0.1136 memory: 17350 grad_norm: 8.7960 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9724 loss: 0.9724 2022/07/24 16:22:33 - mmengine - INFO - Epoch(train) [85][2820/3757] lr: 1.0000e-04 eta: 10:36:46 time: 0.7620 data_time: 0.2900 memory: 17350 grad_norm: 8.5485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1096 loss: 1.1096 2022/07/24 16:22:45 - mmengine - INFO - Epoch(train) [85][2840/3757] lr: 1.0000e-04 eta: 10:36:33 time: 0.6032 data_time: 0.2441 memory: 17350 grad_norm: 8.3701 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8947 loss: 0.8947 2022/07/24 16:22:59 - mmengine - INFO - Epoch(train) [85][2860/3757] lr: 1.0000e-04 eta: 10:36:19 time: 0.6978 data_time: 0.2235 memory: 17350 grad_norm: 9.1131 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0153 loss: 1.0153 2022/07/24 16:23:11 - mmengine - INFO - Epoch(train) [85][2880/3757] lr: 1.0000e-04 eta: 10:36:06 time: 0.5896 data_time: 0.1249 memory: 17350 grad_norm: 8.4079 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0745 loss: 1.0745 2022/07/24 16:23:25 - mmengine - INFO - Epoch(train) [85][2900/3757] lr: 1.0000e-04 eta: 10:35:53 time: 0.7370 data_time: 0.2377 memory: 17350 grad_norm: 8.7598 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9859 loss: 0.9859 2022/07/24 16:23:37 - mmengine - INFO - Epoch(train) [85][2920/3757] lr: 1.0000e-04 eta: 10:35:39 time: 0.5612 data_time: 0.2014 memory: 17350 grad_norm: 8.8039 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0754 loss: 1.0754 2022/07/24 16:23:51 - mmengine - INFO - Epoch(train) [85][2940/3757] lr: 1.0000e-04 eta: 10:35:26 time: 0.6960 data_time: 0.2376 memory: 17350 grad_norm: 8.5109 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1767 loss: 1.1767 2022/07/24 16:24:04 - mmengine - INFO - Epoch(train) [85][2960/3757] lr: 1.0000e-04 eta: 10:35:12 time: 0.6611 data_time: 0.1573 memory: 17350 grad_norm: 8.3060 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8150 loss: 0.8150 2022/07/24 16:24:17 - mmengine - INFO - Epoch(train) [85][2980/3757] lr: 1.0000e-04 eta: 10:34:59 time: 0.6666 data_time: 0.1847 memory: 17350 grad_norm: 9.1154 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2998 loss: 1.2998 2022/07/24 16:24:30 - mmengine - INFO - Epoch(train) [85][3000/3757] lr: 1.0000e-04 eta: 10:34:46 time: 0.6483 data_time: 0.1176 memory: 17350 grad_norm: 9.1032 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3424 loss: 1.3424 2022/07/24 16:24:44 - mmengine - INFO - Epoch(train) [85][3020/3757] lr: 1.0000e-04 eta: 10:34:32 time: 0.6926 data_time: 0.1030 memory: 17350 grad_norm: 8.8532 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9142 loss: 0.9142 2022/07/24 16:24:58 - mmengine - INFO - Epoch(train) [85][3040/3757] lr: 1.0000e-04 eta: 10:34:19 time: 0.6765 data_time: 0.0582 memory: 17350 grad_norm: 8.8568 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8399 loss: 0.8399 2022/07/24 16:25:11 - mmengine - INFO - Epoch(train) [85][3060/3757] lr: 1.0000e-04 eta: 10:34:06 time: 0.6685 data_time: 0.0977 memory: 17350 grad_norm: 8.4671 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1105 loss: 1.1105 2022/07/24 16:25:24 - mmengine - INFO - Epoch(train) [85][3080/3757] lr: 1.0000e-04 eta: 10:33:52 time: 0.6721 data_time: 0.1050 memory: 17350 grad_norm: 8.6309 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8020 loss: 0.8020 2022/07/24 16:25:38 - mmengine - INFO - Epoch(train) [85][3100/3757] lr: 1.0000e-04 eta: 10:33:39 time: 0.6553 data_time: 0.1811 memory: 17350 grad_norm: 8.6356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0026 loss: 1.0026 2022/07/24 16:25:51 - mmengine - INFO - Epoch(train) [85][3120/3757] lr: 1.0000e-04 eta: 10:33:26 time: 0.6774 data_time: 0.1516 memory: 17350 grad_norm: 9.1549 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1419 loss: 1.1419 2022/07/24 16:26:06 - mmengine - INFO - Epoch(train) [85][3140/3757] lr: 1.0000e-04 eta: 10:33:13 time: 0.7157 data_time: 0.2023 memory: 17350 grad_norm: 8.7230 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8197 loss: 0.8197 2022/07/24 16:26:17 - mmengine - INFO - Epoch(train) [85][3160/3757] lr: 1.0000e-04 eta: 10:32:59 time: 0.5740 data_time: 0.1819 memory: 17350 grad_norm: 8.4658 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0395 loss: 1.0395 2022/07/24 16:26:31 - mmengine - INFO - Epoch(train) [85][3180/3757] lr: 1.0000e-04 eta: 10:32:46 time: 0.7035 data_time: 0.2847 memory: 17350 grad_norm: 8.6608 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0267 loss: 1.0267 2022/07/24 16:26:43 - mmengine - INFO - Epoch(train) [85][3200/3757] lr: 1.0000e-04 eta: 10:32:32 time: 0.6179 data_time: 0.1492 memory: 17350 grad_norm: 8.7897 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8818 loss: 0.8818 2022/07/24 16:26:58 - mmengine - INFO - Epoch(train) [85][3220/3757] lr: 1.0000e-04 eta: 10:32:19 time: 0.7287 data_time: 0.1247 memory: 17350 grad_norm: 9.0149 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1054 loss: 1.1054 2022/07/24 16:27:10 - mmengine - INFO - Epoch(train) [85][3240/3757] lr: 1.0000e-04 eta: 10:32:06 time: 0.6159 data_time: 0.1175 memory: 17350 grad_norm: 8.6261 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0612 loss: 1.0612 2022/07/24 16:27:24 - mmengine - INFO - Epoch(train) [85][3260/3757] lr: 1.0000e-04 eta: 10:31:52 time: 0.6627 data_time: 0.0892 memory: 17350 grad_norm: 8.6994 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7574 loss: 0.7574 2022/07/24 16:27:37 - mmengine - INFO - Epoch(train) [85][3280/3757] lr: 1.0000e-04 eta: 10:31:39 time: 0.6829 data_time: 0.0317 memory: 17350 grad_norm: 8.9275 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0014 loss: 1.0014 2022/07/24 16:27:50 - mmengine - INFO - Epoch(train) [85][3300/3757] lr: 1.0000e-04 eta: 10:31:25 time: 0.6144 data_time: 0.0384 memory: 17350 grad_norm: 8.8651 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9014 loss: 0.9014 2022/07/24 16:28:04 - mmengine - INFO - Epoch(train) [85][3320/3757] lr: 1.0000e-04 eta: 10:31:12 time: 0.7204 data_time: 0.0276 memory: 17350 grad_norm: 9.0217 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1712 loss: 1.1712 2022/07/24 16:28:16 - mmengine - INFO - Epoch(train) [85][3340/3757] lr: 1.0000e-04 eta: 10:30:59 time: 0.6164 data_time: 0.0393 memory: 17350 grad_norm: 8.4672 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0315 loss: 1.0315 2022/07/24 16:28:29 - mmengine - INFO - Epoch(train) [85][3360/3757] lr: 1.0000e-04 eta: 10:30:45 time: 0.6251 data_time: 0.0255 memory: 17350 grad_norm: 9.0443 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4032 loss: 1.4032 2022/07/24 16:28:43 - mmengine - INFO - Epoch(train) [85][3380/3757] lr: 1.0000e-04 eta: 10:30:32 time: 0.7064 data_time: 0.0233 memory: 17350 grad_norm: 8.3097 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8184 loss: 0.8184 2022/07/24 16:28:55 - mmengine - INFO - Epoch(train) [85][3400/3757] lr: 1.0000e-04 eta: 10:30:19 time: 0.6126 data_time: 0.0222 memory: 17350 grad_norm: 8.8371 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 0.9958 loss: 0.9958 2022/07/24 16:29:05 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 16:29:10 - mmengine - INFO - Epoch(train) [85][3420/3757] lr: 1.0000e-04 eta: 10:30:05 time: 0.7201 data_time: 0.0185 memory: 17350 grad_norm: 8.5746 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0439 loss: 1.0439 2022/07/24 16:29:22 - mmengine - INFO - Epoch(train) [85][3440/3757] lr: 1.0000e-04 eta: 10:29:52 time: 0.6095 data_time: 0.0317 memory: 17350 grad_norm: 8.5827 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0410 loss: 1.0410 2022/07/24 16:29:36 - mmengine - INFO - Epoch(train) [85][3460/3757] lr: 1.0000e-04 eta: 10:29:39 time: 0.7059 data_time: 0.0237 memory: 17350 grad_norm: 8.5011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0570 loss: 1.0570 2022/07/24 16:29:49 - mmengine - INFO - Epoch(train) [85][3480/3757] lr: 1.0000e-04 eta: 10:29:25 time: 0.6226 data_time: 0.0227 memory: 17350 grad_norm: 8.5368 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9748 loss: 0.9748 2022/07/24 16:30:03 - mmengine - INFO - Epoch(train) [85][3500/3757] lr: 1.0000e-04 eta: 10:29:12 time: 0.7349 data_time: 0.0211 memory: 17350 grad_norm: 8.5356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8179 loss: 0.8179 2022/07/24 16:30:16 - mmengine - INFO - Epoch(train) [85][3520/3757] lr: 1.0000e-04 eta: 10:28:59 time: 0.6293 data_time: 0.0220 memory: 17350 grad_norm: 8.9821 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8969 loss: 0.8969 2022/07/24 16:30:30 - mmengine - INFO - Epoch(train) [85][3540/3757] lr: 1.0000e-04 eta: 10:28:45 time: 0.7197 data_time: 0.0327 memory: 17350 grad_norm: 8.6825 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1081 loss: 1.1081 2022/07/24 16:30:43 - mmengine - INFO - Epoch(train) [85][3560/3757] lr: 1.0000e-04 eta: 10:28:32 time: 0.6172 data_time: 0.0213 memory: 17350 grad_norm: 8.3227 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8788 loss: 0.8788 2022/07/24 16:30:57 - mmengine - INFO - Epoch(train) [85][3580/3757] lr: 1.0000e-04 eta: 10:28:19 time: 0.7089 data_time: 0.0263 memory: 17350 grad_norm: 8.1615 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7262 loss: 0.7262 2022/07/24 16:31:09 - mmengine - INFO - Epoch(train) [85][3600/3757] lr: 1.0000e-04 eta: 10:28:05 time: 0.6089 data_time: 0.0236 memory: 17350 grad_norm: 8.5047 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8329 loss: 0.8329 2022/07/24 16:31:24 - mmengine - INFO - Epoch(train) [85][3620/3757] lr: 1.0000e-04 eta: 10:27:52 time: 0.7389 data_time: 0.1238 memory: 17350 grad_norm: 8.6978 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9824 loss: 0.9824 2022/07/24 16:31:36 - mmengine - INFO - Epoch(train) [85][3640/3757] lr: 1.0000e-04 eta: 10:27:39 time: 0.5932 data_time: 0.0510 memory: 17350 grad_norm: 8.5402 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1304 loss: 1.1304 2022/07/24 16:31:51 - mmengine - INFO - Epoch(train) [85][3660/3757] lr: 1.0000e-04 eta: 10:27:25 time: 0.7455 data_time: 0.0285 memory: 17350 grad_norm: 8.5757 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8538 loss: 0.8538 2022/07/24 16:32:03 - mmengine - INFO - Epoch(train) [85][3680/3757] lr: 1.0000e-04 eta: 10:27:12 time: 0.6306 data_time: 0.0352 memory: 17350 grad_norm: 8.5508 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0528 loss: 1.0528 2022/07/24 16:32:18 - mmengine - INFO - Epoch(train) [85][3700/3757] lr: 1.0000e-04 eta: 10:26:59 time: 0.7148 data_time: 0.0991 memory: 17350 grad_norm: 8.7115 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9622 loss: 0.9622 2022/07/24 16:32:30 - mmengine - INFO - Epoch(train) [85][3720/3757] lr: 1.0000e-04 eta: 10:26:45 time: 0.6219 data_time: 0.0902 memory: 17350 grad_norm: 8.6866 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2263 loss: 1.2263 2022/07/24 16:32:44 - mmengine - INFO - Epoch(train) [85][3740/3757] lr: 1.0000e-04 eta: 10:26:32 time: 0.7135 data_time: 0.1991 memory: 17350 grad_norm: 8.7610 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2177 loss: 1.2177 2022/07/24 16:32:52 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 16:32:52 - mmengine - INFO - Epoch(train) [85][3757/3757] lr: 1.0000e-04 eta: 10:26:32 time: 0.4929 data_time: 0.1394 memory: 17350 grad_norm: 8.3347 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.8908 loss: 0.8908 2022/07/24 16:32:52 - mmengine - INFO - Saving checkpoint at 85 epochs 2022/07/24 16:33:11 - mmengine - INFO - Epoch(val) [85][20/310] eta: 0:03:57 time: 0.8182 data_time: 0.7058 memory: 3406 2022/07/24 16:33:23 - mmengine - INFO - Epoch(val) [85][40/310] eta: 0:02:39 time: 0.5917 data_time: 0.4797 memory: 3406 2022/07/24 16:33:37 - mmengine - INFO - Epoch(val) [85][60/310] eta: 0:03:00 time: 0.7209 data_time: 0.6072 memory: 3406 2022/07/24 16:33:49 - mmengine - INFO - Epoch(val) [85][80/310] eta: 0:02:12 time: 0.5747 data_time: 0.4611 memory: 3406 2022/07/24 16:34:04 - mmengine - INFO - Epoch(val) [85][100/310] eta: 0:02:34 time: 0.7367 data_time: 0.6241 memory: 3406 2022/07/24 16:34:15 - mmengine - INFO - Epoch(val) [85][120/310] eta: 0:01:45 time: 0.5531 data_time: 0.4405 memory: 3406 2022/07/24 16:34:29 - mmengine - INFO - Epoch(val) [85][140/310] eta: 0:02:03 time: 0.7258 data_time: 0.6115 memory: 3406 2022/07/24 16:34:42 - mmengine - INFO - Epoch(val) [85][160/310] eta: 0:01:36 time: 0.6450 data_time: 0.5306 memory: 3406 2022/07/24 16:34:55 - mmengine - INFO - Epoch(val) [85][180/310] eta: 0:01:24 time: 0.6523 data_time: 0.5358 memory: 3406 2022/07/24 16:35:09 - mmengine - INFO - Epoch(val) [85][200/310] eta: 0:01:14 time: 0.6732 data_time: 0.5581 memory: 3406 2022/07/24 16:35:22 - mmengine - INFO - Epoch(val) [85][220/310] eta: 0:01:01 time: 0.6805 data_time: 0.5684 memory: 3406 2022/07/24 16:35:35 - mmengine - INFO - Epoch(val) [85][240/310] eta: 0:00:44 time: 0.6303 data_time: 0.5141 memory: 3406 2022/07/24 16:35:49 - mmengine - INFO - Epoch(val) [85][260/310] eta: 0:00:34 time: 0.6945 data_time: 0.5814 memory: 3406 2022/07/24 16:36:01 - mmengine - INFO - Epoch(val) [85][280/310] eta: 0:00:17 time: 0.5955 data_time: 0.4776 memory: 3406 2022/07/24 16:36:14 - mmengine - INFO - Epoch(val) [85][300/310] eta: 0:00:06 time: 0.6606 data_time: 0.5485 memory: 3406 2022/07/24 16:36:18 - mmengine - INFO - Epoch(val) [85][310/310] acc/top1: 0.6907 acc/top5: 0.8785 acc/mean1: 0.6907 2022/07/24 16:36:18 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_85.pth is removed 2022/07/24 16:36:20 - mmengine - INFO - The best checkpoint with 0.6907 acc/top1 at 86 epoch is saved to best_acc/top1_epoch_86.pth. 2022/07/24 16:36:37 - mmengine - INFO - Epoch(train) [86][20/3757] lr: 1.0000e-04 eta: 10:26:06 time: 0.8644 data_time: 0.5290 memory: 17350 grad_norm: 8.6669 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9822 loss: 0.9822 2022/07/24 16:36:49 - mmengine - INFO - Epoch(train) [86][40/3757] lr: 1.0000e-04 eta: 10:25:53 time: 0.5822 data_time: 0.2530 memory: 17350 grad_norm: 8.7464 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0745 loss: 1.0745 2022/07/24 16:37:04 - mmengine - INFO - Epoch(train) [86][60/3757] lr: 1.0000e-04 eta: 10:25:39 time: 0.7492 data_time: 0.3688 memory: 17350 grad_norm: 8.9121 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8709 loss: 0.8709 2022/07/24 16:37:16 - mmengine - INFO - Epoch(train) [86][80/3757] lr: 1.0000e-04 eta: 10:25:26 time: 0.5969 data_time: 0.1907 memory: 17350 grad_norm: 8.8807 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9851 loss: 0.9851 2022/07/24 16:37:31 - mmengine - INFO - Epoch(train) [86][100/3757] lr: 1.0000e-04 eta: 10:25:13 time: 0.7415 data_time: 0.1943 memory: 17350 grad_norm: 8.2606 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8591 loss: 0.8591 2022/07/24 16:37:43 - mmengine - INFO - Epoch(train) [86][120/3757] lr: 1.0000e-04 eta: 10:24:59 time: 0.5970 data_time: 0.1653 memory: 17350 grad_norm: 8.6231 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9721 loss: 0.9721 2022/07/24 16:37:57 - mmengine - INFO - Epoch(train) [86][140/3757] lr: 1.0000e-04 eta: 10:24:46 time: 0.7319 data_time: 0.3020 memory: 17350 grad_norm: 8.8543 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7195 loss: 0.7195 2022/07/24 16:38:09 - mmengine - INFO - Epoch(train) [86][160/3757] lr: 1.0000e-04 eta: 10:24:33 time: 0.6128 data_time: 0.1736 memory: 17350 grad_norm: 8.6885 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8869 loss: 0.8869 2022/07/24 16:38:24 - mmengine - INFO - Epoch(train) [86][180/3757] lr: 1.0000e-04 eta: 10:24:19 time: 0.7155 data_time: 0.3053 memory: 17350 grad_norm: 8.6554 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1521 loss: 1.1521 2022/07/24 16:38:36 - mmengine - INFO - Epoch(train) [86][200/3757] lr: 1.0000e-04 eta: 10:24:06 time: 0.6027 data_time: 0.2150 memory: 17350 grad_norm: 8.6154 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1540 loss: 1.1540 2022/07/24 16:38:51 - mmengine - INFO - Epoch(train) [86][220/3757] lr: 1.0000e-04 eta: 10:23:53 time: 0.7337 data_time: 0.2771 memory: 17350 grad_norm: 8.6194 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9901 loss: 0.9901 2022/07/24 16:39:02 - mmengine - INFO - Epoch(train) [86][240/3757] lr: 1.0000e-04 eta: 10:23:39 time: 0.5907 data_time: 0.1760 memory: 17350 grad_norm: 8.9207 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2109 loss: 1.2109 2022/07/24 16:39:17 - mmengine - INFO - Epoch(train) [86][260/3757] lr: 1.0000e-04 eta: 10:23:26 time: 0.7255 data_time: 0.3134 memory: 17350 grad_norm: 8.4547 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9543 loss: 0.9543 2022/07/24 16:39:29 - mmengine - INFO - Epoch(train) [86][280/3757] lr: 1.0000e-04 eta: 10:23:13 time: 0.6105 data_time: 0.2286 memory: 17350 grad_norm: 8.8021 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1461 loss: 1.1461 2022/07/24 16:39:44 - mmengine - INFO - Epoch(train) [86][300/3757] lr: 1.0000e-04 eta: 10:22:59 time: 0.7261 data_time: 0.4027 memory: 17350 grad_norm: 8.4292 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6181 loss: 0.6181 2022/07/24 16:39:56 - mmengine - INFO - Epoch(train) [86][320/3757] lr: 1.0000e-04 eta: 10:22:46 time: 0.5967 data_time: 0.2610 memory: 17350 grad_norm: 8.7131 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9690 loss: 0.9690 2022/07/24 16:40:11 - mmengine - INFO - Epoch(train) [86][340/3757] lr: 1.0000e-04 eta: 10:22:33 time: 0.7469 data_time: 0.4123 memory: 17350 grad_norm: 9.1411 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9177 loss: 0.9177 2022/07/24 16:40:22 - mmengine - INFO - Epoch(train) [86][360/3757] lr: 1.0000e-04 eta: 10:22:19 time: 0.5879 data_time: 0.2503 memory: 17350 grad_norm: 8.7168 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1197 loss: 1.1197 2022/07/24 16:40:37 - mmengine - INFO - Epoch(train) [86][380/3757] lr: 1.0000e-04 eta: 10:22:06 time: 0.7264 data_time: 0.3883 memory: 17350 grad_norm: 8.7624 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9216 loss: 0.9216 2022/07/24 16:40:49 - mmengine - INFO - Epoch(train) [86][400/3757] lr: 1.0000e-04 eta: 10:21:52 time: 0.6037 data_time: 0.2533 memory: 17350 grad_norm: 8.5732 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1417 loss: 1.1417 2022/07/24 16:41:04 - mmengine - INFO - Epoch(train) [86][420/3757] lr: 1.0000e-04 eta: 10:21:39 time: 0.7444 data_time: 0.3783 memory: 17350 grad_norm: 8.7374 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1129 loss: 1.1129 2022/07/24 16:41:16 - mmengine - INFO - Epoch(train) [86][440/3757] lr: 1.0000e-04 eta: 10:21:26 time: 0.5860 data_time: 0.2464 memory: 17350 grad_norm: 8.7565 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7490 loss: 0.7490 2022/07/24 16:41:30 - mmengine - INFO - Epoch(train) [86][460/3757] lr: 1.0000e-04 eta: 10:21:13 time: 0.7367 data_time: 0.3179 memory: 17350 grad_norm: 9.0434 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0389 loss: 1.0389 2022/07/24 16:41:43 - mmengine - INFO - Epoch(train) [86][480/3757] lr: 1.0000e-04 eta: 10:20:59 time: 0.6158 data_time: 0.2275 memory: 17350 grad_norm: 8.7412 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9689 loss: 0.9689 2022/07/24 16:41:57 - mmengine - INFO - Epoch(train) [86][500/3757] lr: 1.0000e-04 eta: 10:20:46 time: 0.7193 data_time: 0.2842 memory: 17350 grad_norm: 8.4525 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7631 loss: 0.7631 2022/07/24 16:42:09 - mmengine - INFO - Epoch(train) [86][520/3757] lr: 1.0000e-04 eta: 10:20:32 time: 0.6003 data_time: 0.1890 memory: 17350 grad_norm: 8.8259 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9255 loss: 0.9255 2022/07/24 16:42:24 - mmengine - INFO - Epoch(train) [86][540/3757] lr: 1.0000e-04 eta: 10:20:19 time: 0.7322 data_time: 0.2784 memory: 17350 grad_norm: 9.0026 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8705 loss: 0.8705 2022/07/24 16:42:36 - mmengine - INFO - Epoch(train) [86][560/3757] lr: 1.0000e-04 eta: 10:20:06 time: 0.6250 data_time: 0.2375 memory: 17350 grad_norm: 8.5276 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1199 loss: 1.1199 2022/07/24 16:42:51 - mmengine - INFO - Epoch(train) [86][580/3757] lr: 1.0000e-04 eta: 10:19:53 time: 0.7122 data_time: 0.2680 memory: 17350 grad_norm: 8.7801 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1109 loss: 1.1109 2022/07/24 16:43:03 - mmengine - INFO - Epoch(train) [86][600/3757] lr: 1.0000e-04 eta: 10:19:39 time: 0.6134 data_time: 0.0936 memory: 17350 grad_norm: 8.6650 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1055 loss: 1.1055 2022/07/24 16:43:17 - mmengine - INFO - Epoch(train) [86][620/3757] lr: 1.0000e-04 eta: 10:19:26 time: 0.7160 data_time: 0.2347 memory: 17350 grad_norm: 9.0243 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9076 loss: 0.9076 2022/07/24 16:43:29 - mmengine - INFO - Epoch(train) [86][640/3757] lr: 1.0000e-04 eta: 10:19:12 time: 0.5834 data_time: 0.1974 memory: 17350 grad_norm: 8.4500 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8091 loss: 0.8091 2022/07/24 16:43:40 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 16:43:44 - mmengine - INFO - Epoch(train) [86][660/3757] lr: 1.0000e-04 eta: 10:18:59 time: 0.7547 data_time: 0.2829 memory: 17350 grad_norm: 8.7956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1586 loss: 1.1586 2022/07/24 16:43:56 - mmengine - INFO - Epoch(train) [86][680/3757] lr: 1.0000e-04 eta: 10:18:46 time: 0.6059 data_time: 0.1747 memory: 17350 grad_norm: 8.2799 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8082 loss: 0.8082 2022/07/24 16:44:11 - mmengine - INFO - Epoch(train) [86][700/3757] lr: 1.0000e-04 eta: 10:18:33 time: 0.7406 data_time: 0.1561 memory: 17350 grad_norm: 8.6466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9526 loss: 0.9526 2022/07/24 16:44:23 - mmengine - INFO - Epoch(train) [86][720/3757] lr: 1.0000e-04 eta: 10:18:19 time: 0.6068 data_time: 0.0786 memory: 17350 grad_norm: 8.6464 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0378 loss: 1.0378 2022/07/24 16:44:38 - mmengine - INFO - Epoch(train) [86][740/3757] lr: 1.0000e-04 eta: 10:18:06 time: 0.7492 data_time: 0.0750 memory: 17350 grad_norm: 8.7053 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9635 loss: 0.9635 2022/07/24 16:44:49 - mmengine - INFO - Epoch(train) [86][760/3757] lr: 1.0000e-04 eta: 10:17:52 time: 0.5398 data_time: 0.0412 memory: 17350 grad_norm: 9.1634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9785 loss: 0.9785 2022/07/24 16:45:04 - mmengine - INFO - Epoch(train) [86][780/3757] lr: 1.0000e-04 eta: 10:17:39 time: 0.7497 data_time: 0.0704 memory: 17350 grad_norm: 8.3384 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9354 loss: 0.9354 2022/07/24 16:45:16 - mmengine - INFO - Epoch(train) [86][800/3757] lr: 1.0000e-04 eta: 10:17:26 time: 0.5956 data_time: 0.1224 memory: 17350 grad_norm: 8.6458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3872 loss: 1.3872 2022/07/24 16:45:31 - mmengine - INFO - Epoch(train) [86][820/3757] lr: 1.0000e-04 eta: 10:17:13 time: 0.7294 data_time: 0.1565 memory: 17350 grad_norm: 9.1735 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1677 loss: 1.1677 2022/07/24 16:45:43 - mmengine - INFO - Epoch(train) [86][840/3757] lr: 1.0000e-04 eta: 10:16:59 time: 0.6033 data_time: 0.1132 memory: 17350 grad_norm: 8.6472 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0245 loss: 1.0245 2022/07/24 16:45:57 - mmengine - INFO - Epoch(train) [86][860/3757] lr: 1.0000e-04 eta: 10:16:46 time: 0.7001 data_time: 0.1296 memory: 17350 grad_norm: 8.5073 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9312 loss: 0.9312 2022/07/24 16:46:09 - mmengine - INFO - Epoch(train) [86][880/3757] lr: 1.0000e-04 eta: 10:16:32 time: 0.6256 data_time: 0.1834 memory: 17350 grad_norm: 8.7893 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1516 loss: 1.1516 2022/07/24 16:46:24 - mmengine - INFO - Epoch(train) [86][900/3757] lr: 1.0000e-04 eta: 10:16:19 time: 0.7369 data_time: 0.2347 memory: 17350 grad_norm: 9.1470 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0637 loss: 1.0637 2022/07/24 16:46:36 - mmengine - INFO - Epoch(train) [86][920/3757] lr: 1.0000e-04 eta: 10:16:06 time: 0.5778 data_time: 0.1501 memory: 17350 grad_norm: 8.4089 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9055 loss: 0.9055 2022/07/24 16:46:51 - mmengine - INFO - Epoch(train) [86][940/3757] lr: 1.0000e-04 eta: 10:15:53 time: 0.7633 data_time: 0.2411 memory: 17350 grad_norm: 8.6208 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8946 loss: 0.8946 2022/07/24 16:47:02 - mmengine - INFO - Epoch(train) [86][960/3757] lr: 1.0000e-04 eta: 10:15:39 time: 0.5786 data_time: 0.1528 memory: 17350 grad_norm: 8.5726 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9131 loss: 0.9131 2022/07/24 16:47:17 - mmengine - INFO - Epoch(train) [86][980/3757] lr: 1.0000e-04 eta: 10:15:26 time: 0.7186 data_time: 0.2471 memory: 17350 grad_norm: 8.9149 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9857 loss: 0.9857 2022/07/24 16:47:29 - mmengine - INFO - Epoch(train) [86][1000/3757] lr: 1.0000e-04 eta: 10:15:12 time: 0.6034 data_time: 0.1134 memory: 17350 grad_norm: 9.4776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0030 loss: 1.0030 2022/07/24 16:47:44 - mmengine - INFO - Epoch(train) [86][1020/3757] lr: 1.0000e-04 eta: 10:14:59 time: 0.7395 data_time: 0.1056 memory: 17350 grad_norm: 8.6539 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8755 loss: 0.8755 2022/07/24 16:47:56 - mmengine - INFO - Epoch(train) [86][1040/3757] lr: 1.0000e-04 eta: 10:14:46 time: 0.5953 data_time: 0.0763 memory: 17350 grad_norm: 9.0799 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1023 loss: 1.1023 2022/07/24 16:48:09 - mmengine - INFO - Epoch(train) [86][1060/3757] lr: 1.0000e-04 eta: 10:14:32 time: 0.6915 data_time: 0.2296 memory: 17350 grad_norm: 9.3397 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9995 loss: 0.9995 2022/07/24 16:48:21 - mmengine - INFO - Epoch(train) [86][1080/3757] lr: 1.0000e-04 eta: 10:14:19 time: 0.5955 data_time: 0.2229 memory: 17350 grad_norm: 8.6673 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0073 loss: 1.0073 2022/07/24 16:48:36 - mmengine - INFO - Epoch(train) [86][1100/3757] lr: 1.0000e-04 eta: 10:14:06 time: 0.7401 data_time: 0.4009 memory: 17350 grad_norm: 8.4004 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2288 loss: 1.2288 2022/07/24 16:48:48 - mmengine - INFO - Epoch(train) [86][1120/3757] lr: 1.0000e-04 eta: 10:13:52 time: 0.5893 data_time: 0.2510 memory: 17350 grad_norm: 9.0944 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0794 loss: 1.0794 2022/07/24 16:49:02 - mmengine - INFO - Epoch(train) [86][1140/3757] lr: 1.0000e-04 eta: 10:13:39 time: 0.7198 data_time: 0.3619 memory: 17350 grad_norm: 8.7883 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0922 loss: 1.0922 2022/07/24 16:49:14 - mmengine - INFO - Epoch(train) [86][1160/3757] lr: 1.0000e-04 eta: 10:13:25 time: 0.5928 data_time: 0.2216 memory: 17350 grad_norm: 8.4683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1128 loss: 1.1128 2022/07/24 16:49:29 - mmengine - INFO - Epoch(train) [86][1180/3757] lr: 1.0000e-04 eta: 10:13:12 time: 0.7383 data_time: 0.3798 memory: 17350 grad_norm: 8.6540 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9395 loss: 0.9395 2022/07/24 16:49:42 - mmengine - INFO - Epoch(train) [86][1200/3757] lr: 1.0000e-04 eta: 10:12:59 time: 0.6235 data_time: 0.1899 memory: 17350 grad_norm: 8.7506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9198 loss: 0.9198 2022/07/24 16:49:56 - mmengine - INFO - Epoch(train) [86][1220/3757] lr: 1.0000e-04 eta: 10:12:46 time: 0.7194 data_time: 0.1840 memory: 17350 grad_norm: 8.7496 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8110 loss: 0.8110 2022/07/24 16:50:08 - mmengine - INFO - Epoch(train) [86][1240/3757] lr: 1.0000e-04 eta: 10:12:32 time: 0.6182 data_time: 0.1883 memory: 17350 grad_norm: 8.8426 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8145 loss: 0.8145 2022/07/24 16:50:23 - mmengine - INFO - Epoch(train) [86][1260/3757] lr: 1.0000e-04 eta: 10:12:19 time: 0.7311 data_time: 0.2050 memory: 17350 grad_norm: 8.6458 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9275 loss: 0.9275 2022/07/24 16:50:35 - mmengine - INFO - Epoch(train) [86][1280/3757] lr: 1.0000e-04 eta: 10:12:05 time: 0.5924 data_time: 0.1442 memory: 17350 grad_norm: 9.0310 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1056 loss: 1.1056 2022/07/24 16:50:49 - mmengine - INFO - Epoch(train) [86][1300/3757] lr: 1.0000e-04 eta: 10:11:52 time: 0.7213 data_time: 0.1646 memory: 17350 grad_norm: 8.8283 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0355 loss: 1.0355 2022/07/24 16:51:01 - mmengine - INFO - Epoch(train) [86][1320/3757] lr: 1.0000e-04 eta: 10:11:39 time: 0.5936 data_time: 0.0878 memory: 17350 grad_norm: 8.6962 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0135 loss: 1.0135 2022/07/24 16:51:16 - mmengine - INFO - Epoch(train) [86][1340/3757] lr: 1.0000e-04 eta: 10:11:26 time: 0.7615 data_time: 0.0701 memory: 17350 grad_norm: 8.9502 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1509 loss: 1.1509 2022/07/24 16:51:29 - mmengine - INFO - Epoch(train) [86][1360/3757] lr: 1.0000e-04 eta: 10:11:12 time: 0.6077 data_time: 0.0528 memory: 17350 grad_norm: 9.1061 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3633 loss: 1.3633 2022/07/24 16:51:44 - mmengine - INFO - Epoch(train) [86][1380/3757] lr: 1.0000e-04 eta: 10:10:59 time: 0.7500 data_time: 0.0577 memory: 17350 grad_norm: 9.0920 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0163 loss: 1.0163 2022/07/24 16:51:55 - mmengine - INFO - Epoch(train) [86][1400/3757] lr: 1.0000e-04 eta: 10:10:45 time: 0.5650 data_time: 0.0225 memory: 17350 grad_norm: 9.2336 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1775 loss: 1.1775 2022/07/24 16:52:10 - mmengine - INFO - Epoch(train) [86][1420/3757] lr: 1.0000e-04 eta: 10:10:32 time: 0.7442 data_time: 0.0215 memory: 17350 grad_norm: 8.6854 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0612 loss: 1.0612 2022/07/24 16:52:21 - mmengine - INFO - Epoch(train) [86][1440/3757] lr: 1.0000e-04 eta: 10:10:19 time: 0.5789 data_time: 0.0240 memory: 17350 grad_norm: 8.5849 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6661 loss: 0.6661 2022/07/24 16:52:37 - mmengine - INFO - Epoch(train) [86][1460/3757] lr: 1.0000e-04 eta: 10:10:06 time: 0.7507 data_time: 0.0301 memory: 17350 grad_norm: 9.0578 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8863 loss: 0.8863 2022/07/24 16:52:48 - mmengine - INFO - Epoch(train) [86][1480/3757] lr: 1.0000e-04 eta: 10:09:52 time: 0.5919 data_time: 0.0415 memory: 17350 grad_norm: 8.7071 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1229 loss: 1.1229 2022/07/24 16:53:02 - mmengine - INFO - Epoch(train) [86][1500/3757] lr: 1.0000e-04 eta: 10:09:39 time: 0.6908 data_time: 0.0894 memory: 17350 grad_norm: 8.8768 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8024 loss: 0.8024 2022/07/24 16:53:15 - mmengine - INFO - Epoch(train) [86][1520/3757] lr: 1.0000e-04 eta: 10:09:25 time: 0.6151 data_time: 0.0727 memory: 17350 grad_norm: 9.0884 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8083 loss: 0.8083 2022/07/24 16:53:29 - mmengine - INFO - Epoch(train) [86][1540/3757] lr: 1.0000e-04 eta: 10:09:12 time: 0.7168 data_time: 0.1357 memory: 17350 grad_norm: 8.7342 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1828 loss: 1.1828 2022/07/24 16:53:41 - mmengine - INFO - Epoch(train) [86][1560/3757] lr: 1.0000e-04 eta: 10:08:58 time: 0.5938 data_time: 0.1037 memory: 17350 grad_norm: 8.6579 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8922 loss: 0.8922 2022/07/24 16:53:56 - mmengine - INFO - Epoch(train) [86][1580/3757] lr: 1.0000e-04 eta: 10:08:45 time: 0.7433 data_time: 0.0760 memory: 17350 grad_norm: 8.8117 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9826 loss: 0.9826 2022/07/24 16:54:08 - mmengine - INFO - Epoch(train) [86][1600/3757] lr: 1.0000e-04 eta: 10:08:32 time: 0.6017 data_time: 0.0242 memory: 17350 grad_norm: 8.5891 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9710 loss: 0.9710 2022/07/24 16:54:22 - mmengine - INFO - Epoch(train) [86][1620/3757] lr: 1.0000e-04 eta: 10:08:19 time: 0.7233 data_time: 0.0223 memory: 17350 grad_norm: 8.6270 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8680 loss: 0.8680 2022/07/24 16:54:34 - mmengine - INFO - Epoch(train) [86][1640/3757] lr: 1.0000e-04 eta: 10:08:05 time: 0.6003 data_time: 0.0334 memory: 17350 grad_norm: 8.7073 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1022 loss: 1.1022 2022/07/24 16:54:45 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 16:54:49 - mmengine - INFO - Epoch(train) [86][1660/3757] lr: 1.0000e-04 eta: 10:07:52 time: 0.7457 data_time: 0.0239 memory: 17350 grad_norm: 9.2160 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1159 loss: 1.1159 2022/07/24 16:55:00 - mmengine - INFO - Epoch(train) [86][1680/3757] lr: 1.0000e-04 eta: 10:07:38 time: 0.5547 data_time: 0.0452 memory: 17350 grad_norm: 8.5731 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9753 loss: 0.9753 2022/07/24 16:55:16 - mmengine - INFO - Epoch(train) [86][1700/3757] lr: 1.0000e-04 eta: 10:07:25 time: 0.7655 data_time: 0.1894 memory: 17350 grad_norm: 8.6754 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0148 loss: 1.0148 2022/07/24 16:55:28 - mmengine - INFO - Epoch(train) [86][1720/3757] lr: 1.0000e-04 eta: 10:07:12 time: 0.5992 data_time: 0.1031 memory: 17350 grad_norm: 8.9297 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9086 loss: 0.9086 2022/07/24 16:55:42 - mmengine - INFO - Epoch(train) [86][1740/3757] lr: 1.0000e-04 eta: 10:06:59 time: 0.7305 data_time: 0.1589 memory: 17350 grad_norm: 8.8821 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9307 loss: 0.9307 2022/07/24 16:55:55 - mmengine - INFO - Epoch(train) [86][1760/3757] lr: 1.0000e-04 eta: 10:06:45 time: 0.6223 data_time: 0.1871 memory: 17350 grad_norm: 8.7177 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1863 loss: 1.1863 2022/07/24 16:56:09 - mmengine - INFO - Epoch(train) [86][1780/3757] lr: 1.0000e-04 eta: 10:06:32 time: 0.7189 data_time: 0.2446 memory: 17350 grad_norm: 8.3774 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8438 loss: 0.8438 2022/07/24 16:56:21 - mmengine - INFO - Epoch(train) [86][1800/3757] lr: 1.0000e-04 eta: 10:06:18 time: 0.5957 data_time: 0.2048 memory: 17350 grad_norm: 8.8857 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1432 loss: 1.1432 2022/07/24 16:56:36 - mmengine - INFO - Epoch(train) [86][1820/3757] lr: 1.0000e-04 eta: 10:06:05 time: 0.7519 data_time: 0.2799 memory: 17350 grad_norm: 8.7809 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0498 loss: 1.0498 2022/07/24 16:56:49 - mmengine - INFO - Epoch(train) [86][1840/3757] lr: 1.0000e-04 eta: 10:05:52 time: 0.6437 data_time: 0.0951 memory: 17350 grad_norm: 8.7003 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1057 loss: 1.1057 2022/07/24 16:57:03 - mmengine - INFO - Epoch(train) [86][1860/3757] lr: 1.0000e-04 eta: 10:05:39 time: 0.6965 data_time: 0.0312 memory: 17350 grad_norm: 9.0861 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9100 loss: 0.9100 2022/07/24 16:57:15 - mmengine - INFO - Epoch(train) [86][1880/3757] lr: 1.0000e-04 eta: 10:05:25 time: 0.6087 data_time: 0.0226 memory: 17350 grad_norm: 8.8174 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0380 loss: 1.0380 2022/07/24 16:57:30 - mmengine - INFO - Epoch(train) [86][1900/3757] lr: 1.0000e-04 eta: 10:05:12 time: 0.7479 data_time: 0.0244 memory: 17350 grad_norm: 8.4869 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9560 loss: 0.9560 2022/07/24 16:57:41 - mmengine - INFO - Epoch(train) [86][1920/3757] lr: 1.0000e-04 eta: 10:04:58 time: 0.5535 data_time: 0.0223 memory: 17350 grad_norm: 8.6735 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9828 loss: 0.9828 2022/07/24 16:57:54 - mmengine - INFO - Epoch(train) [86][1940/3757] lr: 1.0000e-04 eta: 10:04:45 time: 0.6584 data_time: 0.1268 memory: 17350 grad_norm: 8.8030 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1523 loss: 1.1523 2022/07/24 16:58:07 - mmengine - INFO - Epoch(train) [86][1960/3757] lr: 1.0000e-04 eta: 10:04:32 time: 0.6276 data_time: 0.0964 memory: 17350 grad_norm: 9.0829 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1303 loss: 1.1303 2022/07/24 16:58:21 - mmengine - INFO - Epoch(train) [86][1980/3757] lr: 1.0000e-04 eta: 10:04:18 time: 0.7174 data_time: 0.1057 memory: 17350 grad_norm: 8.7446 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0424 loss: 1.0424 2022/07/24 16:58:34 - mmengine - INFO - Epoch(train) [86][2000/3757] lr: 1.0000e-04 eta: 10:04:05 time: 0.6553 data_time: 0.0358 memory: 17350 grad_norm: 8.4665 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0389 loss: 1.0389 2022/07/24 16:58:49 - mmengine - INFO - Epoch(train) [86][2020/3757] lr: 1.0000e-04 eta: 10:03:52 time: 0.7463 data_time: 0.0454 memory: 17350 grad_norm: 8.6533 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8655 loss: 0.8655 2022/07/24 16:59:01 - mmengine - INFO - Epoch(train) [86][2040/3757] lr: 1.0000e-04 eta: 10:03:38 time: 0.5772 data_time: 0.0456 memory: 17350 grad_norm: 8.9650 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8996 loss: 0.8996 2022/07/24 16:59:15 - mmengine - INFO - Epoch(train) [86][2060/3757] lr: 1.0000e-04 eta: 10:03:25 time: 0.7021 data_time: 0.0860 memory: 17350 grad_norm: 8.4776 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8367 loss: 0.8367 2022/07/24 16:59:27 - mmengine - INFO - Epoch(train) [86][2080/3757] lr: 1.0000e-04 eta: 10:03:12 time: 0.6173 data_time: 0.1767 memory: 17350 grad_norm: 8.5995 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9921 loss: 0.9921 2022/07/24 16:59:42 - mmengine - INFO - Epoch(train) [86][2100/3757] lr: 1.0000e-04 eta: 10:02:58 time: 0.7101 data_time: 0.2584 memory: 17350 grad_norm: 8.3774 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7335 loss: 0.7335 2022/07/24 16:59:55 - mmengine - INFO - Epoch(train) [86][2120/3757] lr: 1.0000e-04 eta: 10:02:45 time: 0.6462 data_time: 0.1554 memory: 17350 grad_norm: 8.7900 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9512 loss: 0.9512 2022/07/24 17:00:09 - mmengine - INFO - Epoch(train) [86][2140/3757] lr: 1.0000e-04 eta: 10:02:32 time: 0.7372 data_time: 0.2837 memory: 17350 grad_norm: 9.0089 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1679 loss: 1.1679 2022/07/24 17:00:21 - mmengine - INFO - Epoch(train) [86][2160/3757] lr: 1.0000e-04 eta: 10:02:18 time: 0.5886 data_time: 0.1507 memory: 17350 grad_norm: 7.8739 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9631 loss: 0.9631 2022/07/24 17:00:35 - mmengine - INFO - Epoch(train) [86][2180/3757] lr: 1.0000e-04 eta: 10:02:05 time: 0.6995 data_time: 0.2944 memory: 17350 grad_norm: 8.9072 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0761 loss: 1.0761 2022/07/24 17:00:48 - mmengine - INFO - Epoch(train) [86][2200/3757] lr: 1.0000e-04 eta: 10:01:52 time: 0.6273 data_time: 0.2067 memory: 17350 grad_norm: 8.6759 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7751 loss: 0.7751 2022/07/24 17:01:02 - mmengine - INFO - Epoch(train) [86][2220/3757] lr: 1.0000e-04 eta: 10:01:38 time: 0.7311 data_time: 0.3204 memory: 17350 grad_norm: 8.9895 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1715 loss: 1.1715 2022/07/24 17:01:14 - mmengine - INFO - Epoch(train) [86][2240/3757] lr: 1.0000e-04 eta: 10:01:25 time: 0.5789 data_time: 0.2369 memory: 17350 grad_norm: 8.6929 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9943 loss: 0.9943 2022/07/24 17:01:28 - mmengine - INFO - Epoch(train) [86][2260/3757] lr: 1.0000e-04 eta: 10:01:12 time: 0.7169 data_time: 0.3749 memory: 17350 grad_norm: 8.6867 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0934 loss: 1.0934 2022/07/24 17:01:41 - mmengine - INFO - Epoch(train) [86][2280/3757] lr: 1.0000e-04 eta: 10:00:58 time: 0.6188 data_time: 0.2828 memory: 17350 grad_norm: 9.0196 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9792 loss: 0.9792 2022/07/24 17:01:55 - mmengine - INFO - Epoch(train) [86][2300/3757] lr: 1.0000e-04 eta: 10:00:45 time: 0.7244 data_time: 0.3814 memory: 17350 grad_norm: 9.0159 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8232 loss: 0.8232 2022/07/24 17:02:08 - mmengine - INFO - Epoch(train) [86][2320/3757] lr: 1.0000e-04 eta: 10:00:32 time: 0.6236 data_time: 0.2841 memory: 17350 grad_norm: 8.9398 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1000 loss: 1.1000 2022/07/24 17:02:22 - mmengine - INFO - Epoch(train) [86][2340/3757] lr: 1.0000e-04 eta: 10:00:18 time: 0.7238 data_time: 0.3860 memory: 17350 grad_norm: 8.8816 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9098 loss: 0.9098 2022/07/24 17:02:35 - mmengine - INFO - Epoch(train) [86][2360/3757] lr: 1.0000e-04 eta: 10:00:05 time: 0.6387 data_time: 0.2887 memory: 17350 grad_norm: 8.6310 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0818 loss: 1.0818 2022/07/24 17:02:49 - mmengine - INFO - Epoch(train) [86][2380/3757] lr: 1.0000e-04 eta: 9:59:52 time: 0.6859 data_time: 0.3400 memory: 17350 grad_norm: 8.6713 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0102 loss: 1.0102 2022/07/24 17:03:01 - mmengine - INFO - Epoch(train) [86][2400/3757] lr: 1.0000e-04 eta: 9:59:38 time: 0.6299 data_time: 0.2933 memory: 17350 grad_norm: 8.2024 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9271 loss: 0.9271 2022/07/24 17:03:16 - mmengine - INFO - Epoch(train) [86][2420/3757] lr: 1.0000e-04 eta: 9:59:25 time: 0.7161 data_time: 0.3748 memory: 17350 grad_norm: 8.3014 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9085 loss: 0.9085 2022/07/24 17:03:27 - mmengine - INFO - Epoch(train) [86][2440/3757] lr: 1.0000e-04 eta: 9:59:11 time: 0.5869 data_time: 0.2494 memory: 17350 grad_norm: 8.5722 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8215 loss: 0.8215 2022/07/24 17:03:42 - mmengine - INFO - Epoch(train) [86][2460/3757] lr: 1.0000e-04 eta: 9:58:58 time: 0.7320 data_time: 0.3933 memory: 17350 grad_norm: 9.2625 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0434 loss: 1.0434 2022/07/24 17:03:55 - mmengine - INFO - Epoch(train) [86][2480/3757] lr: 1.0000e-04 eta: 9:58:45 time: 0.6309 data_time: 0.2739 memory: 17350 grad_norm: 8.5971 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9944 loss: 0.9944 2022/07/24 17:04:09 - mmengine - INFO - Epoch(train) [86][2500/3757] lr: 1.0000e-04 eta: 9:58:32 time: 0.7170 data_time: 0.3665 memory: 17350 grad_norm: 8.5761 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0006 loss: 1.0006 2022/07/24 17:04:21 - mmengine - INFO - Epoch(train) [86][2520/3757] lr: 1.0000e-04 eta: 9:58:18 time: 0.5800 data_time: 0.2431 memory: 17350 grad_norm: 8.5650 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0185 loss: 1.0185 2022/07/24 17:04:35 - mmengine - INFO - Epoch(train) [86][2540/3757] lr: 1.0000e-04 eta: 9:58:05 time: 0.6981 data_time: 0.3510 memory: 17350 grad_norm: 9.0780 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0980 loss: 1.0980 2022/07/24 17:04:46 - mmengine - INFO - Epoch(train) [86][2560/3757] lr: 1.0000e-04 eta: 9:57:51 time: 0.5891 data_time: 0.2520 memory: 17350 grad_norm: 8.8187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9600 loss: 0.9600 2022/07/24 17:05:02 - mmengine - INFO - Epoch(train) [86][2580/3757] lr: 1.0000e-04 eta: 9:57:38 time: 0.7527 data_time: 0.4088 memory: 17350 grad_norm: 8.9219 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8651 loss: 0.8651 2022/07/24 17:05:14 - mmengine - INFO - Epoch(train) [86][2600/3757] lr: 1.0000e-04 eta: 9:57:25 time: 0.6388 data_time: 0.2473 memory: 17350 grad_norm: 8.5562 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9831 loss: 0.9831 2022/07/24 17:05:28 - mmengine - INFO - Epoch(train) [86][2620/3757] lr: 1.0000e-04 eta: 9:57:12 time: 0.6958 data_time: 0.2766 memory: 17350 grad_norm: 8.8435 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.8920 loss: 0.8920 2022/07/24 17:05:41 - mmengine - INFO - Epoch(train) [86][2640/3757] lr: 1.0000e-04 eta: 9:56:58 time: 0.6199 data_time: 0.2576 memory: 17350 grad_norm: 8.8479 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0634 loss: 1.0634 2022/07/24 17:05:51 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 17:05:56 - mmengine - INFO - Epoch(train) [86][2660/3757] lr: 1.0000e-04 eta: 9:56:45 time: 0.7505 data_time: 0.4013 memory: 17350 grad_norm: 9.1766 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8958 loss: 0.8958 2022/07/24 17:06:07 - mmengine - INFO - Epoch(train) [86][2680/3757] lr: 1.0000e-04 eta: 9:56:31 time: 0.5638 data_time: 0.2187 memory: 17350 grad_norm: 8.4823 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0682 loss: 1.0682 2022/07/24 17:06:22 - mmengine - INFO - Epoch(train) [86][2700/3757] lr: 1.0000e-04 eta: 9:56:18 time: 0.7323 data_time: 0.3769 memory: 17350 grad_norm: 9.3310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1456 loss: 1.1456 2022/07/24 17:06:33 - mmengine - INFO - Epoch(train) [86][2720/3757] lr: 1.0000e-04 eta: 9:56:05 time: 0.5868 data_time: 0.2473 memory: 17350 grad_norm: 8.6944 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1154 loss: 1.1154 2022/07/24 17:06:49 - mmengine - INFO - Epoch(train) [86][2740/3757] lr: 1.0000e-04 eta: 9:55:52 time: 0.7631 data_time: 0.4179 memory: 17350 grad_norm: 8.7456 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0357 loss: 1.0357 2022/07/24 17:07:01 - mmengine - INFO - Epoch(train) [86][2760/3757] lr: 1.0000e-04 eta: 9:55:38 time: 0.5970 data_time: 0.2599 memory: 17350 grad_norm: 8.9996 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0692 loss: 1.0692 2022/07/24 17:07:16 - mmengine - INFO - Epoch(train) [86][2780/3757] lr: 1.0000e-04 eta: 9:55:25 time: 0.7440 data_time: 0.4024 memory: 17350 grad_norm: 8.7717 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0091 loss: 1.0091 2022/07/24 17:07:27 - mmengine - INFO - Epoch(train) [86][2800/3757] lr: 1.0000e-04 eta: 9:55:11 time: 0.5867 data_time: 0.2431 memory: 17350 grad_norm: 8.8944 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9518 loss: 0.9518 2022/07/24 17:07:42 - mmengine - INFO - Epoch(train) [86][2820/3757] lr: 1.0000e-04 eta: 9:54:58 time: 0.7295 data_time: 0.3791 memory: 17350 grad_norm: 8.9729 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0584 loss: 1.0584 2022/07/24 17:07:54 - mmengine - INFO - Epoch(train) [86][2840/3757] lr: 1.0000e-04 eta: 9:54:45 time: 0.5853 data_time: 0.2444 memory: 17350 grad_norm: 8.7198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7720 loss: 0.7720 2022/07/24 17:08:08 - mmengine - INFO - Epoch(train) [86][2860/3757] lr: 1.0000e-04 eta: 9:54:31 time: 0.7106 data_time: 0.3613 memory: 17350 grad_norm: 8.8201 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8411 loss: 0.8411 2022/07/24 17:08:20 - mmengine - INFO - Epoch(train) [86][2880/3757] lr: 1.0000e-04 eta: 9:54:18 time: 0.6148 data_time: 0.2775 memory: 17350 grad_norm: 9.1801 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0765 loss: 1.0765 2022/07/24 17:08:35 - mmengine - INFO - Epoch(train) [86][2900/3757] lr: 1.0000e-04 eta: 9:54:05 time: 0.7467 data_time: 0.3964 memory: 17350 grad_norm: 8.9375 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0235 loss: 1.0235 2022/07/24 17:08:46 - mmengine - INFO - Epoch(train) [86][2920/3757] lr: 1.0000e-04 eta: 9:53:51 time: 0.5436 data_time: 0.2085 memory: 17350 grad_norm: 8.5436 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8367 loss: 0.8367 2022/07/24 17:09:01 - mmengine - INFO - Epoch(train) [86][2940/3757] lr: 1.0000e-04 eta: 9:53:38 time: 0.7467 data_time: 0.3973 memory: 17350 grad_norm: 8.5445 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8560 loss: 0.8560 2022/07/24 17:09:13 - mmengine - INFO - Epoch(train) [86][2960/3757] lr: 1.0000e-04 eta: 9:53:24 time: 0.5856 data_time: 0.2480 memory: 17350 grad_norm: 9.0975 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0794 loss: 1.0794 2022/07/24 17:09:27 - mmengine - INFO - Epoch(train) [86][2980/3757] lr: 1.0000e-04 eta: 9:53:11 time: 0.7211 data_time: 0.3838 memory: 17350 grad_norm: 8.9866 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0426 loss: 1.0426 2022/07/24 17:09:39 - mmengine - INFO - Epoch(train) [86][3000/3757] lr: 1.0000e-04 eta: 9:52:58 time: 0.6144 data_time: 0.2723 memory: 17350 grad_norm: 8.4171 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9629 loss: 0.9629 2022/07/24 17:09:54 - mmengine - INFO - Epoch(train) [86][3020/3757] lr: 1.0000e-04 eta: 9:52:45 time: 0.7110 data_time: 0.3479 memory: 17350 grad_norm: 8.5847 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9081 loss: 0.9081 2022/07/24 17:10:06 - mmengine - INFO - Epoch(train) [86][3040/3757] lr: 1.0000e-04 eta: 9:52:31 time: 0.6337 data_time: 0.2981 memory: 17350 grad_norm: 8.2686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0801 loss: 1.0801 2022/07/24 17:10:22 - mmengine - INFO - Epoch(train) [86][3060/3757] lr: 1.0000e-04 eta: 9:52:18 time: 0.7550 data_time: 0.4073 memory: 17350 grad_norm: 8.8034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8702 loss: 0.8702 2022/07/24 17:10:34 - mmengine - INFO - Epoch(train) [86][3080/3757] lr: 1.0000e-04 eta: 9:52:04 time: 0.6087 data_time: 0.2614 memory: 17350 grad_norm: 8.9630 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9969 loss: 0.9969 2022/07/24 17:10:48 - mmengine - INFO - Epoch(train) [86][3100/3757] lr: 1.0000e-04 eta: 9:51:51 time: 0.7112 data_time: 0.3750 memory: 17350 grad_norm: 8.6446 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9177 loss: 0.9177 2022/07/24 17:10:59 - mmengine - INFO - Epoch(train) [86][3120/3757] lr: 1.0000e-04 eta: 9:51:38 time: 0.5700 data_time: 0.2368 memory: 17350 grad_norm: 8.6487 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8347 loss: 0.8347 2022/07/24 17:11:14 - mmengine - INFO - Epoch(train) [86][3140/3757] lr: 1.0000e-04 eta: 9:51:24 time: 0.7238 data_time: 0.3787 memory: 17350 grad_norm: 8.9468 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9740 loss: 0.9740 2022/07/24 17:11:26 - mmengine - INFO - Epoch(train) [86][3160/3757] lr: 1.0000e-04 eta: 9:51:11 time: 0.6163 data_time: 0.2510 memory: 17350 grad_norm: 9.1304 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0379 loss: 1.0379 2022/07/24 17:11:41 - mmengine - INFO - Epoch(train) [86][3180/3757] lr: 1.0000e-04 eta: 9:50:58 time: 0.7197 data_time: 0.3791 memory: 17350 grad_norm: 8.8507 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9635 loss: 0.9635 2022/07/24 17:11:52 - mmengine - INFO - Epoch(train) [86][3200/3757] lr: 1.0000e-04 eta: 9:50:44 time: 0.5924 data_time: 0.2584 memory: 17350 grad_norm: 9.0985 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1218 loss: 1.1218 2022/07/24 17:12:07 - mmengine - INFO - Epoch(train) [86][3220/3757] lr: 1.0000e-04 eta: 9:50:31 time: 0.7081 data_time: 0.3693 memory: 17350 grad_norm: 8.5823 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9104 loss: 0.9104 2022/07/24 17:12:19 - mmengine - INFO - Epoch(train) [86][3240/3757] lr: 1.0000e-04 eta: 9:50:18 time: 0.6295 data_time: 0.2777 memory: 17350 grad_norm: 8.8610 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9584 loss: 0.9584 2022/07/24 17:12:34 - mmengine - INFO - Epoch(train) [86][3260/3757] lr: 1.0000e-04 eta: 9:50:05 time: 0.7466 data_time: 0.4086 memory: 17350 grad_norm: 8.6398 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0319 loss: 1.0319 2022/07/24 17:12:46 - mmengine - INFO - Epoch(train) [86][3280/3757] lr: 1.0000e-04 eta: 9:49:51 time: 0.6016 data_time: 0.2654 memory: 17350 grad_norm: 8.5891 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6320 loss: 0.6320 2022/07/24 17:13:01 - mmengine - INFO - Epoch(train) [86][3300/3757] lr: 1.0000e-04 eta: 9:49:38 time: 0.7134 data_time: 0.3664 memory: 17350 grad_norm: 8.5915 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8571 loss: 0.8571 2022/07/24 17:13:13 - mmengine - INFO - Epoch(train) [86][3320/3757] lr: 1.0000e-04 eta: 9:49:24 time: 0.6349 data_time: 0.2502 memory: 17350 grad_norm: 9.1835 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0601 loss: 1.0601 2022/07/24 17:13:27 - mmengine - INFO - Epoch(train) [86][3340/3757] lr: 1.0000e-04 eta: 9:49:11 time: 0.6972 data_time: 0.3592 memory: 17350 grad_norm: 8.3832 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9291 loss: 0.9291 2022/07/24 17:13:39 - mmengine - INFO - Epoch(train) [86][3360/3757] lr: 1.0000e-04 eta: 9:48:58 time: 0.6069 data_time: 0.2497 memory: 17350 grad_norm: 9.1471 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9860 loss: 0.9860 2022/07/24 17:13:54 - mmengine - INFO - Epoch(train) [86][3380/3757] lr: 1.0000e-04 eta: 9:48:44 time: 0.7451 data_time: 0.3487 memory: 17350 grad_norm: 9.2574 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0215 loss: 1.0215 2022/07/24 17:14:06 - mmengine - INFO - Epoch(train) [86][3400/3757] lr: 1.0000e-04 eta: 9:48:31 time: 0.6023 data_time: 0.2520 memory: 17350 grad_norm: 8.9190 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9457 loss: 0.9457 2022/07/24 17:14:21 - mmengine - INFO - Epoch(train) [86][3420/3757] lr: 1.0000e-04 eta: 9:48:18 time: 0.7221 data_time: 0.3704 memory: 17350 grad_norm: 8.5191 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7758 loss: 0.7758 2022/07/24 17:14:33 - mmengine - INFO - Epoch(train) [86][3440/3757] lr: 1.0000e-04 eta: 9:48:04 time: 0.6234 data_time: 0.2781 memory: 17350 grad_norm: 8.7774 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0907 loss: 1.0907 2022/07/24 17:14:48 - mmengine - INFO - Epoch(train) [86][3460/3757] lr: 1.0000e-04 eta: 9:47:51 time: 0.7092 data_time: 0.3308 memory: 17350 grad_norm: 8.8335 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9725 loss: 0.9725 2022/07/24 17:15:00 - mmengine - INFO - Epoch(train) [86][3480/3757] lr: 1.0000e-04 eta: 9:47:38 time: 0.6129 data_time: 0.2011 memory: 17350 grad_norm: 8.5818 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9634 loss: 0.9634 2022/07/24 17:15:14 - mmengine - INFO - Epoch(train) [86][3500/3757] lr: 1.0000e-04 eta: 9:47:24 time: 0.7219 data_time: 0.2261 memory: 17350 grad_norm: 8.9223 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1339 loss: 1.1339 2022/07/24 17:15:27 - mmengine - INFO - Epoch(train) [86][3520/3757] lr: 1.0000e-04 eta: 9:47:11 time: 0.6190 data_time: 0.0949 memory: 17350 grad_norm: 8.6815 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0677 loss: 1.0677 2022/07/24 17:15:41 - mmengine - INFO - Epoch(train) [86][3540/3757] lr: 1.0000e-04 eta: 9:46:58 time: 0.7127 data_time: 0.1283 memory: 17350 grad_norm: 8.9786 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8950 loss: 0.8950 2022/07/24 17:15:54 - mmengine - INFO - Epoch(train) [86][3560/3757] lr: 1.0000e-04 eta: 9:46:44 time: 0.6479 data_time: 0.1737 memory: 17350 grad_norm: 8.8688 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2924 loss: 1.2924 2022/07/24 17:16:07 - mmengine - INFO - Epoch(train) [86][3580/3757] lr: 1.0000e-04 eta: 9:46:31 time: 0.6723 data_time: 0.1736 memory: 17350 grad_norm: 9.0796 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8631 loss: 0.8631 2022/07/24 17:16:20 - mmengine - INFO - Epoch(train) [86][3600/3757] lr: 1.0000e-04 eta: 9:46:18 time: 0.6197 data_time: 0.1493 memory: 17350 grad_norm: 8.6600 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2194 loss: 1.2194 2022/07/24 17:16:34 - mmengine - INFO - Epoch(train) [86][3620/3757] lr: 1.0000e-04 eta: 9:46:04 time: 0.7335 data_time: 0.2490 memory: 17350 grad_norm: 8.3064 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1032 loss: 1.1032 2022/07/24 17:16:46 - mmengine - INFO - Epoch(train) [86][3640/3757] lr: 1.0000e-04 eta: 9:45:51 time: 0.5787 data_time: 0.1783 memory: 17350 grad_norm: 8.6444 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8765 loss: 0.8765 2022/07/24 17:16:57 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 17:17:01 - mmengine - INFO - Epoch(train) [86][3660/3757] lr: 1.0000e-04 eta: 9:45:38 time: 0.7273 data_time: 0.3685 memory: 17350 grad_norm: 8.7590 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2369 loss: 1.2369 2022/07/24 17:17:13 - mmengine - INFO - Epoch(train) [86][3680/3757] lr: 1.0000e-04 eta: 9:45:24 time: 0.5954 data_time: 0.2565 memory: 17350 grad_norm: 8.5490 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8623 loss: 0.8623 2022/07/24 17:17:27 - mmengine - INFO - Epoch(train) [86][3700/3757] lr: 1.0000e-04 eta: 9:45:11 time: 0.7040 data_time: 0.3253 memory: 17350 grad_norm: 8.7384 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9884 loss: 0.9884 2022/07/24 17:17:39 - mmengine - INFO - Epoch(train) [86][3720/3757] lr: 1.0000e-04 eta: 9:44:57 time: 0.6246 data_time: 0.1807 memory: 17350 grad_norm: 8.7491 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8234 loss: 0.8234 2022/07/24 17:17:54 - mmengine - INFO - Epoch(train) [86][3740/3757] lr: 1.0000e-04 eta: 9:44:44 time: 0.7202 data_time: 0.2895 memory: 17350 grad_norm: 8.9268 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0795 loss: 1.0795 2022/07/24 17:18:02 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 17:18:02 - mmengine - INFO - Epoch(train) [86][3757/3757] lr: 1.0000e-04 eta: 9:44:44 time: 0.4532 data_time: 0.0927 memory: 17350 grad_norm: 8.7525 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8847 loss: 0.8847 2022/07/24 17:18:18 - mmengine - INFO - Epoch(val) [86][20/310] eta: 0:04:01 time: 0.8316 data_time: 0.7171 memory: 3406 2022/07/24 17:18:29 - mmengine - INFO - Epoch(val) [86][40/310] eta: 0:02:24 time: 0.5368 data_time: 0.4203 memory: 3406 2022/07/24 17:18:45 - mmengine - INFO - Epoch(val) [86][60/310] eta: 0:03:17 time: 0.7890 data_time: 0.6755 memory: 3406 2022/07/24 17:18:56 - mmengine - INFO - Epoch(val) [86][80/310] eta: 0:02:04 time: 0.5421 data_time: 0.4290 memory: 3406 2022/07/24 17:19:11 - mmengine - INFO - Epoch(val) [86][100/310] eta: 0:02:41 time: 0.7689 data_time: 0.6559 memory: 3406 2022/07/24 17:19:22 - mmengine - INFO - Epoch(val) [86][120/310] eta: 0:01:45 time: 0.5541 data_time: 0.4414 memory: 3406 2022/07/24 17:19:38 - mmengine - INFO - Epoch(val) [86][140/310] eta: 0:02:15 time: 0.7984 data_time: 0.6858 memory: 3406 2022/07/24 17:19:49 - mmengine - INFO - Epoch(val) [86][160/310] eta: 0:01:23 time: 0.5546 data_time: 0.4418 memory: 3406 2022/07/24 17:20:06 - mmengine - INFO - Epoch(val) [86][180/310] eta: 0:01:46 time: 0.8177 data_time: 0.7067 memory: 3406 2022/07/24 17:20:16 - mmengine - INFO - Epoch(val) [86][200/310] eta: 0:00:58 time: 0.5282 data_time: 0.4163 memory: 3406 2022/07/24 17:20:31 - mmengine - INFO - Epoch(val) [86][220/310] eta: 0:01:06 time: 0.7334 data_time: 0.6178 memory: 3406 2022/07/24 17:20:42 - mmengine - INFO - Epoch(val) [86][240/310] eta: 0:00:39 time: 0.5604 data_time: 0.4413 memory: 3406 2022/07/24 17:20:57 - mmengine - INFO - Epoch(val) [86][260/310] eta: 0:00:37 time: 0.7474 data_time: 0.6297 memory: 3406 2022/07/24 17:21:08 - mmengine - INFO - Epoch(val) [86][280/310] eta: 0:00:16 time: 0.5633 data_time: 0.4507 memory: 3406 2022/07/24 17:21:23 - mmengine - INFO - Epoch(val) [86][300/310] eta: 0:00:07 time: 0.7445 data_time: 0.6311 memory: 3406 2022/07/24 17:21:28 - mmengine - INFO - Epoch(val) [86][310/310] acc/top1: 0.6901 acc/top5: 0.8790 acc/mean1: 0.6901 2022/07/24 17:21:46 - mmengine - INFO - Epoch(train) [87][20/3757] lr: 1.0000e-04 eta: 9:44:18 time: 0.8912 data_time: 0.5352 memory: 17350 grad_norm: 9.1683 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9009 loss: 0.9009 2022/07/24 17:21:58 - mmengine - INFO - Epoch(train) [87][40/3757] lr: 1.0000e-04 eta: 9:44:05 time: 0.6182 data_time: 0.2840 memory: 17350 grad_norm: 9.1003 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0985 loss: 1.0985 2022/07/24 17:22:13 - mmengine - INFO - Epoch(train) [87][60/3757] lr: 1.0000e-04 eta: 9:43:52 time: 0.7335 data_time: 0.3925 memory: 17350 grad_norm: 8.5607 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7899 loss: 0.7899 2022/07/24 17:22:25 - mmengine - INFO - Epoch(train) [87][80/3757] lr: 1.0000e-04 eta: 9:43:38 time: 0.6171 data_time: 0.2509 memory: 17350 grad_norm: 8.9666 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9571 loss: 0.9571 2022/07/24 17:22:41 - mmengine - INFO - Epoch(train) [87][100/3757] lr: 1.0000e-04 eta: 9:43:25 time: 0.7616 data_time: 0.2853 memory: 17350 grad_norm: 8.5157 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0418 loss: 1.0418 2022/07/24 17:22:52 - mmengine - INFO - Epoch(train) [87][120/3757] lr: 1.0000e-04 eta: 9:43:12 time: 0.5945 data_time: 0.1544 memory: 17350 grad_norm: 8.9934 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7954 loss: 0.7954 2022/07/24 17:23:07 - mmengine - INFO - Epoch(train) [87][140/3757] lr: 1.0000e-04 eta: 9:42:59 time: 0.7154 data_time: 0.1281 memory: 17350 grad_norm: 8.8644 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0737 loss: 1.0737 2022/07/24 17:23:19 - mmengine - INFO - Epoch(train) [87][160/3757] lr: 1.0000e-04 eta: 9:42:45 time: 0.6052 data_time: 0.0997 memory: 17350 grad_norm: 8.8687 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2756 loss: 1.2756 2022/07/24 17:23:33 - mmengine - INFO - Epoch(train) [87][180/3757] lr: 1.0000e-04 eta: 9:42:32 time: 0.7015 data_time: 0.1121 memory: 17350 grad_norm: 8.9635 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7926 loss: 0.7926 2022/07/24 17:23:45 - mmengine - INFO - Epoch(train) [87][200/3757] lr: 1.0000e-04 eta: 9:42:18 time: 0.6246 data_time: 0.0594 memory: 17350 grad_norm: 8.7664 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8356 loss: 0.8356 2022/07/24 17:24:00 - mmengine - INFO - Epoch(train) [87][220/3757] lr: 1.0000e-04 eta: 9:42:05 time: 0.7027 data_time: 0.0498 memory: 17350 grad_norm: 8.8201 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8548 loss: 0.8548 2022/07/24 17:24:12 - mmengine - INFO - Epoch(train) [87][240/3757] lr: 1.0000e-04 eta: 9:41:52 time: 0.6149 data_time: 0.0225 memory: 17350 grad_norm: 8.6235 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0771 loss: 1.0771 2022/07/24 17:24:27 - mmengine - INFO - Epoch(train) [87][260/3757] lr: 1.0000e-04 eta: 9:41:38 time: 0.7320 data_time: 0.0243 memory: 17350 grad_norm: 9.3100 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2385 loss: 1.2385 2022/07/24 17:24:39 - mmengine - INFO - Epoch(train) [87][280/3757] lr: 1.0000e-04 eta: 9:41:25 time: 0.6231 data_time: 0.0246 memory: 17350 grad_norm: 8.6779 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0785 loss: 1.0785 2022/07/24 17:24:53 - mmengine - INFO - Epoch(train) [87][300/3757] lr: 1.0000e-04 eta: 9:41:12 time: 0.7176 data_time: 0.0264 memory: 17350 grad_norm: 9.2138 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1233 loss: 1.1233 2022/07/24 17:25:06 - mmengine - INFO - Epoch(train) [87][320/3757] lr: 1.0000e-04 eta: 9:40:58 time: 0.6320 data_time: 0.0324 memory: 17350 grad_norm: 8.7510 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2819 loss: 1.2819 2022/07/24 17:25:21 - mmengine - INFO - Epoch(train) [87][340/3757] lr: 1.0000e-04 eta: 9:40:45 time: 0.7464 data_time: 0.0241 memory: 17350 grad_norm: 8.7094 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0163 loss: 1.0163 2022/07/24 17:25:33 - mmengine - INFO - Epoch(train) [87][360/3757] lr: 1.0000e-04 eta: 9:40:32 time: 0.6126 data_time: 0.0237 memory: 17350 grad_norm: 8.4605 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7768 loss: 0.7768 2022/07/24 17:25:48 - mmengine - INFO - Epoch(train) [87][380/3757] lr: 1.0000e-04 eta: 9:40:19 time: 0.7329 data_time: 0.0949 memory: 17350 grad_norm: 8.7804 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1845 loss: 1.1845 2022/07/24 17:26:01 - mmengine - INFO - Epoch(train) [87][400/3757] lr: 1.0000e-04 eta: 9:40:05 time: 0.6307 data_time: 0.0248 memory: 17350 grad_norm: 8.3830 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8281 loss: 0.8281 2022/07/24 17:26:15 - mmengine - INFO - Epoch(train) [87][420/3757] lr: 1.0000e-04 eta: 9:39:52 time: 0.7187 data_time: 0.0242 memory: 17350 grad_norm: 8.9797 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9629 loss: 0.9629 2022/07/24 17:26:28 - mmengine - INFO - Epoch(train) [87][440/3757] lr: 1.0000e-04 eta: 9:39:39 time: 0.6350 data_time: 0.0206 memory: 17350 grad_norm: 8.4761 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.8175 loss: 0.8175 2022/07/24 17:26:42 - mmengine - INFO - Epoch(train) [87][460/3757] lr: 1.0000e-04 eta: 9:39:25 time: 0.7243 data_time: 0.0357 memory: 17350 grad_norm: 9.1465 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1655 loss: 1.1655 2022/07/24 17:26:54 - mmengine - INFO - Epoch(train) [87][480/3757] lr: 1.0000e-04 eta: 9:39:12 time: 0.5863 data_time: 0.0234 memory: 17350 grad_norm: 8.8957 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8518 loss: 0.8518 2022/07/24 17:27:09 - mmengine - INFO - Epoch(train) [87][500/3757] lr: 1.0000e-04 eta: 9:38:59 time: 0.7301 data_time: 0.0223 memory: 17350 grad_norm: 8.5481 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0914 loss: 1.0914 2022/07/24 17:27:20 - mmengine - INFO - Epoch(train) [87][520/3757] lr: 1.0000e-04 eta: 9:38:45 time: 0.5653 data_time: 0.0245 memory: 17350 grad_norm: 8.6377 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9515 loss: 0.9515 2022/07/24 17:27:34 - mmengine - INFO - Epoch(train) [87][540/3757] lr: 1.0000e-04 eta: 9:38:32 time: 0.7004 data_time: 0.0209 memory: 17350 grad_norm: 8.6762 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9091 loss: 0.9091 2022/07/24 17:27:46 - mmengine - INFO - Epoch(train) [87][560/3757] lr: 1.0000e-04 eta: 9:38:18 time: 0.5969 data_time: 0.0219 memory: 17350 grad_norm: 8.9974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7307 loss: 0.7307 2022/07/24 17:28:01 - mmengine - INFO - Epoch(train) [87][580/3757] lr: 1.0000e-04 eta: 9:38:05 time: 0.7332 data_time: 0.0232 memory: 17350 grad_norm: 9.2248 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0751 loss: 1.0751 2022/07/24 17:28:13 - mmengine - INFO - Epoch(train) [87][600/3757] lr: 1.0000e-04 eta: 9:37:52 time: 0.6056 data_time: 0.0228 memory: 17350 grad_norm: 8.2466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1488 loss: 1.1488 2022/07/24 17:28:28 - mmengine - INFO - Epoch(train) [87][620/3757] lr: 1.0000e-04 eta: 9:37:39 time: 0.7426 data_time: 0.0219 memory: 17350 grad_norm: 9.3841 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0903 loss: 1.0903 2022/07/24 17:28:39 - mmengine - INFO - Epoch(train) [87][640/3757] lr: 1.0000e-04 eta: 9:37:25 time: 0.5921 data_time: 0.0232 memory: 17350 grad_norm: 8.3741 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7801 loss: 0.7801 2022/07/24 17:28:54 - mmengine - INFO - Epoch(train) [87][660/3757] lr: 1.0000e-04 eta: 9:37:12 time: 0.7263 data_time: 0.0221 memory: 17350 grad_norm: 8.4313 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9670 loss: 0.9670 2022/07/24 17:29:06 - mmengine - INFO - Epoch(train) [87][680/3757] lr: 1.0000e-04 eta: 9:36:58 time: 0.6128 data_time: 0.0235 memory: 17350 grad_norm: 8.5619 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1012 loss: 1.1012 2022/07/24 17:29:21 - mmengine - INFO - Epoch(train) [87][700/3757] lr: 1.0000e-04 eta: 9:36:45 time: 0.7261 data_time: 0.0228 memory: 17350 grad_norm: 9.3405 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9616 loss: 0.9616 2022/07/24 17:29:33 - mmengine - INFO - Epoch(train) [87][720/3757] lr: 1.0000e-04 eta: 9:36:32 time: 0.5868 data_time: 0.0250 memory: 17350 grad_norm: 8.7117 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1251 loss: 1.1251 2022/07/24 17:29:47 - mmengine - INFO - Epoch(train) [87][740/3757] lr: 1.0000e-04 eta: 9:36:18 time: 0.7426 data_time: 0.0225 memory: 17350 grad_norm: 8.9970 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0087 loss: 1.0087 2022/07/24 17:30:00 - mmengine - INFO - Epoch(train) [87][760/3757] lr: 1.0000e-04 eta: 9:36:05 time: 0.6240 data_time: 0.0217 memory: 17350 grad_norm: 8.4592 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8473 loss: 0.8473 2022/07/24 17:30:14 - mmengine - INFO - Epoch(train) [87][780/3757] lr: 1.0000e-04 eta: 9:35:52 time: 0.7004 data_time: 0.0226 memory: 17350 grad_norm: 9.0207 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9031 loss: 0.9031 2022/07/24 17:30:26 - mmengine - INFO - Epoch(train) [87][800/3757] lr: 1.0000e-04 eta: 9:35:38 time: 0.5981 data_time: 0.0226 memory: 17350 grad_norm: 8.7113 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0675 loss: 1.0675 2022/07/24 17:30:41 - mmengine - INFO - Epoch(train) [87][820/3757] lr: 1.0000e-04 eta: 9:35:25 time: 0.7421 data_time: 0.0245 memory: 17350 grad_norm: 8.3516 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8116 loss: 0.8116 2022/07/24 17:30:53 - mmengine - INFO - Epoch(train) [87][840/3757] lr: 1.0000e-04 eta: 9:35:12 time: 0.6199 data_time: 0.0230 memory: 17350 grad_norm: 8.6732 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1398 loss: 1.1398 2022/07/24 17:31:08 - mmengine - INFO - Epoch(train) [87][860/3757] lr: 1.0000e-04 eta: 9:34:58 time: 0.7189 data_time: 0.0220 memory: 17350 grad_norm: 8.7147 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9437 loss: 0.9437 2022/07/24 17:31:19 - mmengine - INFO - Epoch(train) [87][880/3757] lr: 1.0000e-04 eta: 9:34:45 time: 0.5902 data_time: 0.0222 memory: 17350 grad_norm: 8.8305 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9477 loss: 0.9477 2022/07/24 17:31:33 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 17:31:34 - mmengine - INFO - Epoch(train) [87][900/3757] lr: 1.0000e-04 eta: 9:34:32 time: 0.7115 data_time: 0.0240 memory: 17350 grad_norm: 8.8144 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9152 loss: 0.9152 2022/07/24 17:31:45 - mmengine - INFO - Epoch(train) [87][920/3757] lr: 1.0000e-04 eta: 9:34:18 time: 0.5919 data_time: 0.0211 memory: 17350 grad_norm: 8.4938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9798 loss: 0.9798 2022/07/24 17:32:00 - mmengine - INFO - Epoch(train) [87][940/3757] lr: 1.0000e-04 eta: 9:34:05 time: 0.7323 data_time: 0.0231 memory: 17350 grad_norm: 8.8710 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2043 loss: 1.2043 2022/07/24 17:32:12 - mmengine - INFO - Epoch(train) [87][960/3757] lr: 1.0000e-04 eta: 9:33:51 time: 0.5847 data_time: 0.0217 memory: 17350 grad_norm: 8.8426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9944 loss: 0.9944 2022/07/24 17:32:27 - mmengine - INFO - Epoch(train) [87][980/3757] lr: 1.0000e-04 eta: 9:33:38 time: 0.7687 data_time: 0.0248 memory: 17350 grad_norm: 8.6472 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8410 loss: 0.8410 2022/07/24 17:32:40 - mmengine - INFO - Epoch(train) [87][1000/3757] lr: 1.0000e-04 eta: 9:33:25 time: 0.6124 data_time: 0.0225 memory: 17350 grad_norm: 9.0058 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0788 loss: 1.0788 2022/07/24 17:32:54 - mmengine - INFO - Epoch(train) [87][1020/3757] lr: 1.0000e-04 eta: 9:33:12 time: 0.7209 data_time: 0.0211 memory: 17350 grad_norm: 8.8526 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9067 loss: 0.9067 2022/07/24 17:33:07 - mmengine - INFO - Epoch(train) [87][1040/3757] lr: 1.0000e-04 eta: 9:32:58 time: 0.6272 data_time: 0.0234 memory: 17350 grad_norm: 8.9615 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8233 loss: 0.8233 2022/07/24 17:33:20 - mmengine - INFO - Epoch(train) [87][1060/3757] lr: 1.0000e-04 eta: 9:32:45 time: 0.6709 data_time: 0.0235 memory: 17350 grad_norm: 8.6484 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0577 loss: 1.0577 2022/07/24 17:33:32 - mmengine - INFO - Epoch(train) [87][1080/3757] lr: 1.0000e-04 eta: 9:32:31 time: 0.6013 data_time: 0.0210 memory: 17350 grad_norm: 8.9323 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 0.9593 loss: 0.9593 2022/07/24 17:33:46 - mmengine - INFO - Epoch(train) [87][1100/3757] lr: 1.0000e-04 eta: 9:32:18 time: 0.7006 data_time: 0.0219 memory: 17350 grad_norm: 8.5951 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8999 loss: 0.8999 2022/07/24 17:33:59 - mmengine - INFO - Epoch(train) [87][1120/3757] lr: 1.0000e-04 eta: 9:32:05 time: 0.6323 data_time: 0.0218 memory: 17350 grad_norm: 8.5171 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8990 loss: 0.8990 2022/07/24 17:34:13 - mmengine - INFO - Epoch(train) [87][1140/3757] lr: 1.0000e-04 eta: 9:31:52 time: 0.7113 data_time: 0.0220 memory: 17350 grad_norm: 9.3377 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1745 loss: 1.1745 2022/07/24 17:34:26 - mmengine - INFO - Epoch(train) [87][1160/3757] lr: 1.0000e-04 eta: 9:31:38 time: 0.6319 data_time: 0.0224 memory: 17350 grad_norm: 8.9614 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8062 loss: 0.8062 2022/07/24 17:34:40 - mmengine - INFO - Epoch(train) [87][1180/3757] lr: 1.0000e-04 eta: 9:31:25 time: 0.6966 data_time: 0.0221 memory: 17350 grad_norm: 8.4015 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8750 loss: 0.8750 2022/07/24 17:34:52 - mmengine - INFO - Epoch(train) [87][1200/3757] lr: 1.0000e-04 eta: 9:31:11 time: 0.6130 data_time: 0.0240 memory: 17350 grad_norm: 8.5773 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9227 loss: 0.9227 2022/07/24 17:35:07 - mmengine - INFO - Epoch(train) [87][1220/3757] lr: 1.0000e-04 eta: 9:30:58 time: 0.7787 data_time: 0.0242 memory: 17350 grad_norm: 8.6046 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9918 loss: 0.9918 2022/07/24 17:35:19 - mmengine - INFO - Epoch(train) [87][1240/3757] lr: 1.0000e-04 eta: 9:30:45 time: 0.5862 data_time: 0.0217 memory: 17350 grad_norm: 9.0838 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9657 loss: 0.9657 2022/07/24 17:35:34 - mmengine - INFO - Epoch(train) [87][1260/3757] lr: 1.0000e-04 eta: 9:30:32 time: 0.7566 data_time: 0.0217 memory: 17350 grad_norm: 8.8018 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0859 loss: 1.0859 2022/07/24 17:35:46 - mmengine - INFO - Epoch(train) [87][1280/3757] lr: 1.0000e-04 eta: 9:30:18 time: 0.6007 data_time: 0.0231 memory: 17350 grad_norm: 8.3803 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8447 loss: 0.8447 2022/07/24 17:36:01 - mmengine - INFO - Epoch(train) [87][1300/3757] lr: 1.0000e-04 eta: 9:30:05 time: 0.7381 data_time: 0.0244 memory: 17350 grad_norm: 8.7475 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9198 loss: 0.9198 2022/07/24 17:36:13 - mmengine - INFO - Epoch(train) [87][1320/3757] lr: 1.0000e-04 eta: 9:29:52 time: 0.5995 data_time: 0.0227 memory: 17350 grad_norm: 9.0065 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9703 loss: 0.9703 2022/07/24 17:36:28 - mmengine - INFO - Epoch(train) [87][1340/3757] lr: 1.0000e-04 eta: 9:29:38 time: 0.7403 data_time: 0.0251 memory: 17350 grad_norm: 8.9198 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8029 loss: 0.8029 2022/07/24 17:36:39 - mmengine - INFO - Epoch(train) [87][1360/3757] lr: 1.0000e-04 eta: 9:29:25 time: 0.5641 data_time: 0.0218 memory: 17350 grad_norm: 8.7464 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9130 loss: 0.9130 2022/07/24 17:36:54 - mmengine - INFO - Epoch(train) [87][1380/3757] lr: 1.0000e-04 eta: 9:29:12 time: 0.7270 data_time: 0.0211 memory: 17350 grad_norm: 9.0198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2307 loss: 1.2307 2022/07/24 17:37:06 - mmengine - INFO - Epoch(train) [87][1400/3757] lr: 1.0000e-04 eta: 9:28:58 time: 0.6120 data_time: 0.0218 memory: 17350 grad_norm: 8.6800 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9859 loss: 0.9859 2022/07/24 17:37:20 - mmengine - INFO - Epoch(train) [87][1420/3757] lr: 1.0000e-04 eta: 9:28:45 time: 0.7146 data_time: 0.0216 memory: 17350 grad_norm: 8.6499 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9385 loss: 0.9385 2022/07/24 17:37:32 - mmengine - INFO - Epoch(train) [87][1440/3757] lr: 1.0000e-04 eta: 9:28:31 time: 0.6011 data_time: 0.0252 memory: 17350 grad_norm: 9.2676 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2837 loss: 1.2837 2022/07/24 17:37:48 - mmengine - INFO - Epoch(train) [87][1460/3757] lr: 1.0000e-04 eta: 9:28:18 time: 0.7541 data_time: 0.0263 memory: 17350 grad_norm: 8.6122 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8761 loss: 0.8761 2022/07/24 17:37:59 - mmengine - INFO - Epoch(train) [87][1480/3757] lr: 1.0000e-04 eta: 9:28:05 time: 0.5879 data_time: 0.0228 memory: 17350 grad_norm: 8.8713 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.8763 loss: 0.8763 2022/07/24 17:38:14 - mmengine - INFO - Epoch(train) [87][1500/3757] lr: 1.0000e-04 eta: 9:27:52 time: 0.7380 data_time: 0.0239 memory: 17350 grad_norm: 8.8072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9535 loss: 0.9535 2022/07/24 17:38:26 - mmengine - INFO - Epoch(train) [87][1520/3757] lr: 1.0000e-04 eta: 9:27:38 time: 0.5998 data_time: 0.0225 memory: 17350 grad_norm: 8.7623 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1354 loss: 1.1354 2022/07/24 17:38:41 - mmengine - INFO - Epoch(train) [87][1540/3757] lr: 1.0000e-04 eta: 9:27:25 time: 0.7307 data_time: 0.0219 memory: 17350 grad_norm: 8.9338 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9223 loss: 0.9223 2022/07/24 17:38:53 - mmengine - INFO - Epoch(train) [87][1560/3757] lr: 1.0000e-04 eta: 9:27:11 time: 0.6027 data_time: 0.0240 memory: 17350 grad_norm: 8.7515 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9222 loss: 0.9222 2022/07/24 17:39:07 - mmengine - INFO - Epoch(train) [87][1580/3757] lr: 1.0000e-04 eta: 9:26:58 time: 0.7044 data_time: 0.0234 memory: 17350 grad_norm: 9.3152 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0346 loss: 1.0346 2022/07/24 17:39:19 - mmengine - INFO - Epoch(train) [87][1600/3757] lr: 1.0000e-04 eta: 9:26:45 time: 0.6213 data_time: 0.0229 memory: 17350 grad_norm: 9.0569 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2437 loss: 1.2437 2022/07/24 17:39:34 - mmengine - INFO - Epoch(train) [87][1620/3757] lr: 1.0000e-04 eta: 9:26:31 time: 0.7096 data_time: 0.0217 memory: 17350 grad_norm: 9.1258 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9619 loss: 0.9619 2022/07/24 17:39:45 - mmengine - INFO - Epoch(train) [87][1640/3757] lr: 1.0000e-04 eta: 9:26:18 time: 0.5914 data_time: 0.0223 memory: 17350 grad_norm: 8.9747 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9519 loss: 0.9519 2022/07/24 17:40:00 - mmengine - INFO - Epoch(train) [87][1660/3757] lr: 1.0000e-04 eta: 9:26:05 time: 0.7218 data_time: 0.0222 memory: 17350 grad_norm: 8.5648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9787 loss: 0.9787 2022/07/24 17:40:12 - mmengine - INFO - Epoch(train) [87][1680/3757] lr: 1.0000e-04 eta: 9:25:51 time: 0.6136 data_time: 0.0236 memory: 17350 grad_norm: 9.1976 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0549 loss: 1.0549 2022/07/24 17:40:27 - mmengine - INFO - Epoch(train) [87][1700/3757] lr: 1.0000e-04 eta: 9:25:38 time: 0.7218 data_time: 0.0245 memory: 17350 grad_norm: 8.9152 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9908 loss: 0.9908 2022/07/24 17:40:38 - mmengine - INFO - Epoch(train) [87][1720/3757] lr: 1.0000e-04 eta: 9:25:24 time: 0.5880 data_time: 0.0201 memory: 17350 grad_norm: 8.8471 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9836 loss: 0.9836 2022/07/24 17:40:53 - mmengine - INFO - Epoch(train) [87][1740/3757] lr: 1.0000e-04 eta: 9:25:11 time: 0.7253 data_time: 0.0223 memory: 17350 grad_norm: 8.6465 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9662 loss: 0.9662 2022/07/24 17:41:05 - mmengine - INFO - Epoch(train) [87][1760/3757] lr: 1.0000e-04 eta: 9:24:58 time: 0.6077 data_time: 0.0217 memory: 17350 grad_norm: 8.7733 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9725 loss: 0.9725 2022/07/24 17:41:20 - mmengine - INFO - Epoch(train) [87][1780/3757] lr: 1.0000e-04 eta: 9:24:45 time: 0.7448 data_time: 0.0216 memory: 17350 grad_norm: 8.9031 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1059 loss: 1.1059 2022/07/24 17:41:33 - mmengine - INFO - Epoch(train) [87][1800/3757] lr: 1.0000e-04 eta: 9:24:31 time: 0.6345 data_time: 0.0244 memory: 17350 grad_norm: 8.8204 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8624 loss: 0.8624 2022/07/24 17:41:46 - mmengine - INFO - Epoch(train) [87][1820/3757] lr: 1.0000e-04 eta: 9:24:18 time: 0.6812 data_time: 0.0231 memory: 17350 grad_norm: 8.8208 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0417 loss: 1.0417 2022/07/24 17:41:59 - mmengine - INFO - Epoch(train) [87][1840/3757] lr: 1.0000e-04 eta: 9:24:05 time: 0.6285 data_time: 0.0208 memory: 17350 grad_norm: 8.9479 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0900 loss: 1.0900 2022/07/24 17:42:13 - mmengine - INFO - Epoch(train) [87][1860/3757] lr: 1.0000e-04 eta: 9:23:51 time: 0.7162 data_time: 0.0248 memory: 17350 grad_norm: 8.8861 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1032 loss: 1.1032 2022/07/24 17:42:25 - mmengine - INFO - Epoch(train) [87][1880/3757] lr: 1.0000e-04 eta: 9:23:38 time: 0.5974 data_time: 0.0227 memory: 17350 grad_norm: 8.9750 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9132 loss: 0.9132 2022/07/24 17:42:39 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 17:42:39 - mmengine - INFO - Epoch(train) [87][1900/3757] lr: 1.0000e-04 eta: 9:23:25 time: 0.7060 data_time: 0.0239 memory: 17350 grad_norm: 8.9614 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2142 loss: 1.2142 2022/07/24 17:42:52 - mmengine - INFO - Epoch(train) [87][1920/3757] lr: 1.0000e-04 eta: 9:23:11 time: 0.6316 data_time: 0.0225 memory: 17350 grad_norm: 8.8520 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0620 loss: 1.0620 2022/07/24 17:43:06 - mmengine - INFO - Epoch(train) [87][1940/3757] lr: 1.0000e-04 eta: 9:22:58 time: 0.6746 data_time: 0.0224 memory: 17350 grad_norm: 8.6294 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0358 loss: 1.0358 2022/07/24 17:43:18 - mmengine - INFO - Epoch(train) [87][1960/3757] lr: 1.0000e-04 eta: 9:22:44 time: 0.6031 data_time: 0.0229 memory: 17350 grad_norm: 9.2768 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1295 loss: 1.1295 2022/07/24 17:43:33 - mmengine - INFO - Epoch(train) [87][1980/3757] lr: 1.0000e-04 eta: 9:22:31 time: 0.7426 data_time: 0.0230 memory: 17350 grad_norm: 8.7254 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9003 loss: 0.9003 2022/07/24 17:43:44 - mmengine - INFO - Epoch(train) [87][2000/3757] lr: 1.0000e-04 eta: 9:22:18 time: 0.5880 data_time: 0.0251 memory: 17350 grad_norm: 8.8204 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8624 loss: 0.8624 2022/07/24 17:43:59 - mmengine - INFO - Epoch(train) [87][2020/3757] lr: 1.0000e-04 eta: 9:22:05 time: 0.7399 data_time: 0.0237 memory: 17350 grad_norm: 8.8582 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8796 loss: 0.8796 2022/07/24 17:44:11 - mmengine - INFO - Epoch(train) [87][2040/3757] lr: 1.0000e-04 eta: 9:21:51 time: 0.5952 data_time: 0.0248 memory: 17350 grad_norm: 8.8536 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8219 loss: 0.8219 2022/07/24 17:44:26 - mmengine - INFO - Epoch(train) [87][2060/3757] lr: 1.0000e-04 eta: 9:21:38 time: 0.7562 data_time: 0.0208 memory: 17350 grad_norm: 9.1317 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9848 loss: 0.9848 2022/07/24 17:44:38 - mmengine - INFO - Epoch(train) [87][2080/3757] lr: 1.0000e-04 eta: 9:21:24 time: 0.6129 data_time: 0.0247 memory: 17350 grad_norm: 8.7546 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0035 loss: 1.0035 2022/07/24 17:44:53 - mmengine - INFO - Epoch(train) [87][2100/3757] lr: 1.0000e-04 eta: 9:21:11 time: 0.7283 data_time: 0.0218 memory: 17350 grad_norm: 8.9300 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9602 loss: 0.9602 2022/07/24 17:45:05 - mmengine - INFO - Epoch(train) [87][2120/3757] lr: 1.0000e-04 eta: 9:20:58 time: 0.6153 data_time: 0.0246 memory: 17350 grad_norm: 8.9872 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9668 loss: 0.9668 2022/07/24 17:45:19 - mmengine - INFO - Epoch(train) [87][2140/3757] lr: 1.0000e-04 eta: 9:20:44 time: 0.6919 data_time: 0.0232 memory: 17350 grad_norm: 8.9988 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9950 loss: 0.9950 2022/07/24 17:45:31 - mmengine - INFO - Epoch(train) [87][2160/3757] lr: 1.0000e-04 eta: 9:20:31 time: 0.5938 data_time: 0.0238 memory: 17350 grad_norm: 8.5800 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9888 loss: 0.9888 2022/07/24 17:45:46 - mmengine - INFO - Epoch(train) [87][2180/3757] lr: 1.0000e-04 eta: 9:20:18 time: 0.7199 data_time: 0.0213 memory: 17350 grad_norm: 9.1781 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1211 loss: 1.1211 2022/07/24 17:45:58 - mmengine - INFO - Epoch(train) [87][2200/3757] lr: 1.0000e-04 eta: 9:20:04 time: 0.6097 data_time: 0.0259 memory: 17350 grad_norm: 8.3816 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9404 loss: 0.9404 2022/07/24 17:46:13 - mmengine - INFO - Epoch(train) [87][2220/3757] lr: 1.0000e-04 eta: 9:19:51 time: 0.7630 data_time: 0.0221 memory: 17350 grad_norm: 8.9121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1055 loss: 1.1055 2022/07/24 17:46:25 - mmengine - INFO - Epoch(train) [87][2240/3757] lr: 1.0000e-04 eta: 9:19:38 time: 0.6039 data_time: 0.0232 memory: 17350 grad_norm: 8.9735 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1802 loss: 1.1802 2022/07/24 17:46:40 - mmengine - INFO - Epoch(train) [87][2260/3757] lr: 1.0000e-04 eta: 9:19:25 time: 0.7208 data_time: 0.0227 memory: 17350 grad_norm: 8.9485 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1347 loss: 1.1347 2022/07/24 17:46:52 - mmengine - INFO - Epoch(train) [87][2280/3757] lr: 1.0000e-04 eta: 9:19:11 time: 0.6333 data_time: 0.0250 memory: 17350 grad_norm: 8.7607 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9079 loss: 0.9079 2022/07/24 17:47:06 - mmengine - INFO - Epoch(train) [87][2300/3757] lr: 1.0000e-04 eta: 9:18:58 time: 0.6969 data_time: 0.0225 memory: 17350 grad_norm: 8.5182 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8723 loss: 0.8723 2022/07/24 17:47:18 - mmengine - INFO - Epoch(train) [87][2320/3757] lr: 1.0000e-04 eta: 9:18:44 time: 0.6129 data_time: 0.0244 memory: 17350 grad_norm: 8.7860 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 0.8302 loss: 0.8302 2022/07/24 17:47:32 - mmengine - INFO - Epoch(train) [87][2340/3757] lr: 1.0000e-04 eta: 9:18:31 time: 0.6776 data_time: 0.0234 memory: 17350 grad_norm: 8.8429 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1350 loss: 1.1350 2022/07/24 17:47:44 - mmengine - INFO - Epoch(train) [87][2360/3757] lr: 1.0000e-04 eta: 9:18:18 time: 0.6126 data_time: 0.0262 memory: 17350 grad_norm: 8.8067 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9027 loss: 0.9027 2022/07/24 17:47:58 - mmengine - INFO - Epoch(train) [87][2380/3757] lr: 1.0000e-04 eta: 9:18:04 time: 0.7072 data_time: 0.0233 memory: 17350 grad_norm: 9.1639 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2508 loss: 1.2508 2022/07/24 17:48:11 - mmengine - INFO - Epoch(train) [87][2400/3757] lr: 1.0000e-04 eta: 9:17:51 time: 0.6162 data_time: 0.0221 memory: 17350 grad_norm: 8.5990 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9599 loss: 0.9599 2022/07/24 17:48:25 - mmengine - INFO - Epoch(train) [87][2420/3757] lr: 1.0000e-04 eta: 9:17:38 time: 0.7064 data_time: 0.0231 memory: 17350 grad_norm: 8.8323 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7292 loss: 0.7292 2022/07/24 17:48:38 - mmengine - INFO - Epoch(train) [87][2440/3757] lr: 1.0000e-04 eta: 9:17:24 time: 0.6661 data_time: 0.0247 memory: 17350 grad_norm: 8.8735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0014 loss: 1.0014 2022/07/24 17:48:52 - mmengine - INFO - Epoch(train) [87][2460/3757] lr: 1.0000e-04 eta: 9:17:11 time: 0.6977 data_time: 0.0221 memory: 17350 grad_norm: 9.2128 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0537 loss: 1.0537 2022/07/24 17:49:04 - mmengine - INFO - Epoch(train) [87][2480/3757] lr: 1.0000e-04 eta: 9:16:58 time: 0.6087 data_time: 0.0276 memory: 17350 grad_norm: 9.0188 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2109 loss: 1.2109 2022/07/24 17:49:18 - mmengine - INFO - Epoch(train) [87][2500/3757] lr: 1.0000e-04 eta: 9:16:44 time: 0.6839 data_time: 0.0224 memory: 17350 grad_norm: 8.6645 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8978 loss: 0.8978 2022/07/24 17:49:31 - mmengine - INFO - Epoch(train) [87][2520/3757] lr: 1.0000e-04 eta: 9:16:31 time: 0.6462 data_time: 0.0220 memory: 17350 grad_norm: 9.1239 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1278 loss: 1.1278 2022/07/24 17:49:45 - mmengine - INFO - Epoch(train) [87][2540/3757] lr: 1.0000e-04 eta: 9:16:18 time: 0.7055 data_time: 0.0215 memory: 17350 grad_norm: 8.4764 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9338 loss: 0.9338 2022/07/24 17:49:58 - mmengine - INFO - Epoch(train) [87][2560/3757] lr: 1.0000e-04 eta: 9:16:04 time: 0.6219 data_time: 0.0247 memory: 17350 grad_norm: 8.9006 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1371 loss: 1.1371 2022/07/24 17:50:12 - mmengine - INFO - Epoch(train) [87][2580/3757] lr: 1.0000e-04 eta: 9:15:51 time: 0.7325 data_time: 0.0224 memory: 17350 grad_norm: 8.8193 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9416 loss: 0.9416 2022/07/24 17:50:24 - mmengine - INFO - Epoch(train) [87][2600/3757] lr: 1.0000e-04 eta: 9:15:37 time: 0.5776 data_time: 0.0234 memory: 17350 grad_norm: 8.6393 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9987 loss: 0.9987 2022/07/24 17:50:38 - mmengine - INFO - Epoch(train) [87][2620/3757] lr: 1.0000e-04 eta: 9:15:24 time: 0.7226 data_time: 0.0206 memory: 17350 grad_norm: 8.9555 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0625 loss: 1.0625 2022/07/24 17:50:50 - mmengine - INFO - Epoch(train) [87][2640/3757] lr: 1.0000e-04 eta: 9:15:11 time: 0.5997 data_time: 0.0231 memory: 17350 grad_norm: 8.5012 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1185 loss: 1.1185 2022/07/24 17:51:05 - mmengine - INFO - Epoch(train) [87][2660/3757] lr: 1.0000e-04 eta: 9:14:58 time: 0.7143 data_time: 0.0227 memory: 17350 grad_norm: 8.6011 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9264 loss: 0.9264 2022/07/24 17:51:17 - mmengine - INFO - Epoch(train) [87][2680/3757] lr: 1.0000e-04 eta: 9:14:44 time: 0.6193 data_time: 0.0231 memory: 17350 grad_norm: 8.6434 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7962 loss: 0.7962 2022/07/24 17:51:31 - mmengine - INFO - Epoch(train) [87][2700/3757] lr: 1.0000e-04 eta: 9:14:31 time: 0.6838 data_time: 0.0227 memory: 17350 grad_norm: 8.9329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2641 loss: 1.2641 2022/07/24 17:51:44 - mmengine - INFO - Epoch(train) [87][2720/3757] lr: 1.0000e-04 eta: 9:14:17 time: 0.6407 data_time: 0.0216 memory: 17350 grad_norm: 8.5478 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8320 loss: 0.8320 2022/07/24 17:51:58 - mmengine - INFO - Epoch(train) [87][2740/3757] lr: 1.0000e-04 eta: 9:14:04 time: 0.7109 data_time: 0.0220 memory: 17350 grad_norm: 8.9065 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2027 loss: 1.2027 2022/07/24 17:52:10 - mmengine - INFO - Epoch(train) [87][2760/3757] lr: 1.0000e-04 eta: 9:13:51 time: 0.5867 data_time: 0.0224 memory: 17350 grad_norm: 9.1846 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0590 loss: 1.0590 2022/07/24 17:52:24 - mmengine - INFO - Epoch(train) [87][2780/3757] lr: 1.0000e-04 eta: 9:13:37 time: 0.7021 data_time: 0.0432 memory: 17350 grad_norm: 8.9178 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9245 loss: 0.9245 2022/07/24 17:52:36 - mmengine - INFO - Epoch(train) [87][2800/3757] lr: 1.0000e-04 eta: 9:13:24 time: 0.6137 data_time: 0.1046 memory: 17350 grad_norm: 9.0701 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9842 loss: 0.9842 2022/07/24 17:52:50 - mmengine - INFO - Epoch(train) [87][2820/3757] lr: 1.0000e-04 eta: 9:13:11 time: 0.6853 data_time: 0.1433 memory: 17350 grad_norm: 8.5829 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9411 loss: 0.9411 2022/07/24 17:53:03 - mmengine - INFO - Epoch(train) [87][2840/3757] lr: 1.0000e-04 eta: 9:12:57 time: 0.6662 data_time: 0.2078 memory: 17350 grad_norm: 9.0413 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8777 loss: 0.8777 2022/07/24 17:53:16 - mmengine - INFO - Epoch(train) [87][2860/3757] lr: 1.0000e-04 eta: 9:12:44 time: 0.6554 data_time: 0.1409 memory: 17350 grad_norm: 8.9317 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1169 loss: 1.1169 2022/07/24 17:53:30 - mmengine - INFO - Epoch(train) [87][2880/3757] lr: 1.0000e-04 eta: 9:12:31 time: 0.6766 data_time: 0.2343 memory: 17350 grad_norm: 8.8146 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1425 loss: 1.1425 2022/07/24 17:53:41 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 17:53:43 - mmengine - INFO - Epoch(train) [87][2900/3757] lr: 1.0000e-04 eta: 9:12:17 time: 0.6676 data_time: 0.2587 memory: 17350 grad_norm: 8.7599 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0136 loss: 1.0136 2022/07/24 17:53:57 - mmengine - INFO - Epoch(train) [87][2920/3757] lr: 1.0000e-04 eta: 9:12:04 time: 0.6694 data_time: 0.2673 memory: 17350 grad_norm: 8.9895 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3054 loss: 1.3054 2022/07/24 17:54:10 - mmengine - INFO - Epoch(train) [87][2940/3757] lr: 1.0000e-04 eta: 9:11:51 time: 0.6580 data_time: 0.2976 memory: 17350 grad_norm: 8.8843 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0806 loss: 1.0806 2022/07/24 17:54:23 - mmengine - INFO - Epoch(train) [87][2960/3757] lr: 1.0000e-04 eta: 9:11:37 time: 0.6787 data_time: 0.3424 memory: 17350 grad_norm: 9.0382 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9679 loss: 0.9679 2022/07/24 17:54:36 - mmengine - INFO - Epoch(train) [87][2980/3757] lr: 1.0000e-04 eta: 9:11:24 time: 0.6578 data_time: 0.3214 memory: 17350 grad_norm: 8.4776 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0260 loss: 1.0260 2022/07/24 17:54:49 - mmengine - INFO - Epoch(train) [87][3000/3757] lr: 1.0000e-04 eta: 9:11:10 time: 0.6407 data_time: 0.3017 memory: 17350 grad_norm: 9.0953 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0674 loss: 1.0674 2022/07/24 17:55:03 - mmengine - INFO - Epoch(train) [87][3020/3757] lr: 1.0000e-04 eta: 9:10:57 time: 0.7069 data_time: 0.3495 memory: 17350 grad_norm: 8.8619 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9826 loss: 0.9826 2022/07/24 17:55:17 - mmengine - INFO - Epoch(train) [87][3040/3757] lr: 1.0000e-04 eta: 9:10:44 time: 0.6897 data_time: 0.3611 memory: 17350 grad_norm: 9.1350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4110 loss: 1.4110 2022/07/24 17:55:30 - mmengine - INFO - Epoch(train) [87][3060/3757] lr: 1.0000e-04 eta: 9:10:30 time: 0.6192 data_time: 0.2860 memory: 17350 grad_norm: 8.4261 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8050 loss: 0.8050 2022/07/24 17:55:44 - mmengine - INFO - Epoch(train) [87][3080/3757] lr: 1.0000e-04 eta: 9:10:17 time: 0.7106 data_time: 0.3770 memory: 17350 grad_norm: 8.7383 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0086 loss: 1.0086 2022/07/24 17:55:56 - mmengine - INFO - Epoch(train) [87][3100/3757] lr: 1.0000e-04 eta: 9:10:04 time: 0.6155 data_time: 0.2773 memory: 17350 grad_norm: 8.9394 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9049 loss: 0.9049 2022/07/24 17:56:11 - mmengine - INFO - Epoch(train) [87][3120/3757] lr: 1.0000e-04 eta: 9:09:51 time: 0.7394 data_time: 0.3305 memory: 17350 grad_norm: 8.5803 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7454 loss: 0.7454 2022/07/24 17:56:24 - mmengine - INFO - Epoch(train) [87][3140/3757] lr: 1.0000e-04 eta: 9:09:37 time: 0.6256 data_time: 0.2128 memory: 17350 grad_norm: 8.8228 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0235 loss: 1.0235 2022/07/24 17:56:37 - mmengine - INFO - Epoch(train) [87][3160/3757] lr: 1.0000e-04 eta: 9:09:24 time: 0.6743 data_time: 0.2659 memory: 17350 grad_norm: 8.7136 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9987 loss: 0.9987 2022/07/24 17:56:50 - mmengine - INFO - Epoch(train) [87][3180/3757] lr: 1.0000e-04 eta: 9:09:10 time: 0.6483 data_time: 0.1901 memory: 17350 grad_norm: 9.1001 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1038 loss: 1.1038 2022/07/24 17:57:04 - mmengine - INFO - Epoch(train) [87][3200/3757] lr: 1.0000e-04 eta: 9:08:57 time: 0.6849 data_time: 0.1545 memory: 17350 grad_norm: 8.8455 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0217 loss: 1.0217 2022/07/24 17:57:17 - mmengine - INFO - Epoch(train) [87][3220/3757] lr: 1.0000e-04 eta: 9:08:44 time: 0.6346 data_time: 0.1019 memory: 17350 grad_norm: 8.7823 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0094 loss: 1.0094 2022/07/24 17:57:30 - mmengine - INFO - Epoch(train) [87][3240/3757] lr: 1.0000e-04 eta: 9:08:30 time: 0.6731 data_time: 0.1333 memory: 17350 grad_norm: 8.5214 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9413 loss: 0.9413 2022/07/24 17:57:44 - mmengine - INFO - Epoch(train) [87][3260/3757] lr: 1.0000e-04 eta: 9:08:17 time: 0.6899 data_time: 0.0607 memory: 17350 grad_norm: 8.4431 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0390 loss: 1.0390 2022/07/24 17:57:57 - mmengine - INFO - Epoch(train) [87][3280/3757] lr: 1.0000e-04 eta: 9:08:04 time: 0.6449 data_time: 0.0621 memory: 17350 grad_norm: 8.7356 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0245 loss: 1.0245 2022/07/24 17:58:10 - mmengine - INFO - Epoch(train) [87][3300/3757] lr: 1.0000e-04 eta: 9:07:50 time: 0.6672 data_time: 0.0371 memory: 17350 grad_norm: 8.8847 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9302 loss: 0.9302 2022/07/24 17:58:23 - mmengine - INFO - Epoch(train) [87][3320/3757] lr: 1.0000e-04 eta: 9:07:37 time: 0.6405 data_time: 0.1670 memory: 17350 grad_norm: 8.7939 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0141 loss: 1.0141 2022/07/24 17:58:37 - mmengine - INFO - Epoch(train) [87][3340/3757] lr: 1.0000e-04 eta: 9:07:24 time: 0.7051 data_time: 0.0803 memory: 17350 grad_norm: 8.6440 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8397 loss: 0.8397 2022/07/24 17:58:50 - mmengine - INFO - Epoch(train) [87][3360/3757] lr: 1.0000e-04 eta: 9:07:10 time: 0.6398 data_time: 0.1205 memory: 17350 grad_norm: 8.9858 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0605 loss: 1.0605 2022/07/24 17:59:03 - mmengine - INFO - Epoch(train) [87][3380/3757] lr: 1.0000e-04 eta: 9:06:57 time: 0.6784 data_time: 0.0724 memory: 17350 grad_norm: 9.2476 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0708 loss: 1.0708 2022/07/24 17:59:16 - mmengine - INFO - Epoch(train) [87][3400/3757] lr: 1.0000e-04 eta: 9:06:44 time: 0.6231 data_time: 0.0892 memory: 17350 grad_norm: 8.8459 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8407 loss: 0.8407 2022/07/24 17:59:30 - mmengine - INFO - Epoch(train) [87][3420/3757] lr: 1.0000e-04 eta: 9:06:30 time: 0.7156 data_time: 0.0225 memory: 17350 grad_norm: 8.5851 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1260 loss: 1.1260 2022/07/24 17:59:42 - mmengine - INFO - Epoch(train) [87][3440/3757] lr: 1.0000e-04 eta: 9:06:17 time: 0.6030 data_time: 0.0208 memory: 17350 grad_norm: 8.4426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9156 loss: 0.9156 2022/07/24 17:59:57 - mmengine - INFO - Epoch(train) [87][3460/3757] lr: 1.0000e-04 eta: 9:06:04 time: 0.7129 data_time: 0.0236 memory: 17350 grad_norm: 9.1191 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0555 loss: 1.0555 2022/07/24 18:00:09 - mmengine - INFO - Epoch(train) [87][3480/3757] lr: 1.0000e-04 eta: 9:05:50 time: 0.6155 data_time: 0.0233 memory: 17350 grad_norm: 8.4091 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0376 loss: 1.0376 2022/07/24 18:00:24 - mmengine - INFO - Epoch(train) [87][3500/3757] lr: 1.0000e-04 eta: 9:05:37 time: 0.7537 data_time: 0.0259 memory: 17350 grad_norm: 8.8429 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0439 loss: 1.0439 2022/07/24 18:00:36 - mmengine - INFO - Epoch(train) [87][3520/3757] lr: 1.0000e-04 eta: 9:05:24 time: 0.6064 data_time: 0.0233 memory: 17350 grad_norm: 9.0861 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8716 loss: 0.8716 2022/07/24 18:00:50 - mmengine - INFO - Epoch(train) [87][3540/3757] lr: 1.0000e-04 eta: 9:05:10 time: 0.6969 data_time: 0.0808 memory: 17350 grad_norm: 8.6258 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8756 loss: 0.8756 2022/07/24 18:01:03 - mmengine - INFO - Epoch(train) [87][3560/3757] lr: 1.0000e-04 eta: 9:04:57 time: 0.6264 data_time: 0.0822 memory: 17350 grad_norm: 9.0216 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3148 loss: 1.3148 2022/07/24 18:01:17 - mmengine - INFO - Epoch(train) [87][3580/3757] lr: 1.0000e-04 eta: 9:04:44 time: 0.6949 data_time: 0.0173 memory: 17350 grad_norm: 8.8426 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9976 loss: 0.9976 2022/07/24 18:01:30 - mmengine - INFO - Epoch(train) [87][3600/3757] lr: 1.0000e-04 eta: 9:04:30 time: 0.6815 data_time: 0.0212 memory: 17350 grad_norm: 8.9838 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9022 loss: 0.9022 2022/07/24 18:01:44 - mmengine - INFO - Epoch(train) [87][3620/3757] lr: 1.0000e-04 eta: 9:04:17 time: 0.6649 data_time: 0.0254 memory: 17350 grad_norm: 8.9517 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9488 loss: 0.9488 2022/07/24 18:01:58 - mmengine - INFO - Epoch(train) [87][3640/3757] lr: 1.0000e-04 eta: 9:04:04 time: 0.6959 data_time: 0.1533 memory: 17350 grad_norm: 8.7127 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0135 loss: 1.0135 2022/07/24 18:02:10 - mmengine - INFO - Epoch(train) [87][3660/3757] lr: 1.0000e-04 eta: 9:03:50 time: 0.6059 data_time: 0.0932 memory: 17350 grad_norm: 8.6723 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7143 loss: 0.7143 2022/07/24 18:02:25 - mmengine - INFO - Epoch(train) [87][3680/3757] lr: 1.0000e-04 eta: 9:03:37 time: 0.7679 data_time: 0.1447 memory: 17350 grad_norm: 8.8272 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8791 loss: 0.8791 2022/07/24 18:02:37 - mmengine - INFO - Epoch(train) [87][3700/3757] lr: 1.0000e-04 eta: 9:03:24 time: 0.5731 data_time: 0.0302 memory: 17350 grad_norm: 8.8748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8839 loss: 0.8839 2022/07/24 18:02:52 - mmengine - INFO - Epoch(train) [87][3720/3757] lr: 1.0000e-04 eta: 9:03:11 time: 0.7596 data_time: 0.1470 memory: 17350 grad_norm: 8.7269 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9423 loss: 0.9423 2022/07/24 18:03:04 - mmengine - INFO - Epoch(train) [87][3740/3757] lr: 1.0000e-04 eta: 9:02:57 time: 0.6115 data_time: 0.1572 memory: 17350 grad_norm: 8.4712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9659 loss: 0.9659 2022/07/24 18:03:12 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 18:03:12 - mmengine - INFO - Epoch(train) [87][3757/3757] lr: 1.0000e-04 eta: 9:02:57 time: 0.4653 data_time: 0.1020 memory: 17350 grad_norm: 8.7250 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 0.8068 loss: 0.8068 2022/07/24 18:03:29 - mmengine - INFO - Epoch(val) [87][20/310] eta: 0:04:05 time: 0.8457 data_time: 0.7306 memory: 3406 2022/07/24 18:03:40 - mmengine - INFO - Epoch(val) [87][40/310] eta: 0:02:30 time: 0.5578 data_time: 0.4435 memory: 3406 2022/07/24 18:03:55 - mmengine - INFO - Epoch(val) [87][60/310] eta: 0:03:07 time: 0.7519 data_time: 0.6368 memory: 3406 2022/07/24 18:04:06 - mmengine - INFO - Epoch(val) [87][80/310] eta: 0:02:08 time: 0.5596 data_time: 0.4451 memory: 3406 2022/07/24 18:04:22 - mmengine - INFO - Epoch(val) [87][100/310] eta: 0:02:38 time: 0.7531 data_time: 0.6362 memory: 3406 2022/07/24 18:04:32 - mmengine - INFO - Epoch(val) [87][120/310] eta: 0:01:42 time: 0.5417 data_time: 0.4289 memory: 3406 2022/07/24 18:04:48 - mmengine - INFO - Epoch(val) [87][140/310] eta: 0:02:10 time: 0.7658 data_time: 0.6499 memory: 3406 2022/07/24 18:04:59 - mmengine - INFO - Epoch(val) [87][160/310] eta: 0:01:24 time: 0.5639 data_time: 0.4523 memory: 3406 2022/07/24 18:05:14 - mmengine - INFO - Epoch(val) [87][180/310] eta: 0:01:38 time: 0.7610 data_time: 0.6440 memory: 3406 2022/07/24 18:05:25 - mmengine - INFO - Epoch(val) [87][200/310] eta: 0:01:00 time: 0.5486 data_time: 0.4361 memory: 3406 2022/07/24 18:05:42 - mmengine - INFO - Epoch(val) [87][220/310] eta: 0:01:13 time: 0.8160 data_time: 0.6972 memory: 3406 2022/07/24 18:05:52 - mmengine - INFO - Epoch(val) [87][240/310] eta: 0:00:36 time: 0.5149 data_time: 0.4001 memory: 3406 2022/07/24 18:06:07 - mmengine - INFO - Epoch(val) [87][260/310] eta: 0:00:37 time: 0.7544 data_time: 0.6374 memory: 3406 2022/07/24 18:06:18 - mmengine - INFO - Epoch(val) [87][280/310] eta: 0:00:15 time: 0.5306 data_time: 0.4170 memory: 3406 2022/07/24 18:06:33 - mmengine - INFO - Epoch(val) [87][300/310] eta: 0:00:07 time: 0.7512 data_time: 0.6375 memory: 3406 2022/07/24 18:06:38 - mmengine - INFO - Epoch(val) [87][310/310] acc/top1: 0.6882 acc/top5: 0.8785 acc/mean1: 0.6881 2022/07/24 18:06:57 - mmengine - INFO - Epoch(train) [88][20/3757] lr: 1.0000e-04 eta: 9:02:31 time: 0.9029 data_time: 0.5308 memory: 17350 grad_norm: 9.3136 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1710 loss: 1.1710 2022/07/24 18:07:08 - mmengine - INFO - Epoch(train) [88][40/3757] lr: 1.0000e-04 eta: 9:02:18 time: 0.5922 data_time: 0.1962 memory: 17350 grad_norm: 8.9597 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8700 loss: 0.8700 2022/07/24 18:07:24 - mmengine - INFO - Epoch(train) [88][60/3757] lr: 1.0000e-04 eta: 9:02:05 time: 0.7606 data_time: 0.2690 memory: 17350 grad_norm: 8.4938 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9089 loss: 0.9089 2022/07/24 18:07:36 - mmengine - INFO - Epoch(train) [88][80/3757] lr: 1.0000e-04 eta: 9:01:51 time: 0.6321 data_time: 0.2199 memory: 17350 grad_norm: 8.6991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2280 loss: 1.2280 2022/07/24 18:07:52 - mmengine - INFO - Epoch(train) [88][100/3757] lr: 1.0000e-04 eta: 9:01:38 time: 0.7716 data_time: 0.2321 memory: 17350 grad_norm: 8.6806 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8828 loss: 0.8828 2022/07/24 18:08:03 - mmengine - INFO - Epoch(train) [88][120/3757] lr: 1.0000e-04 eta: 9:01:25 time: 0.5547 data_time: 0.1725 memory: 17350 grad_norm: 8.4139 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0083 loss: 1.0083 2022/07/24 18:08:18 - mmengine - INFO - Epoch(train) [88][140/3757] lr: 1.0000e-04 eta: 9:01:12 time: 0.7434 data_time: 0.3672 memory: 17350 grad_norm: 8.5439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9806 loss: 0.9806 2022/07/24 18:08:18 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 18:08:30 - mmengine - INFO - Epoch(train) [88][160/3757] lr: 1.0000e-04 eta: 9:00:58 time: 0.5829 data_time: 0.1922 memory: 17350 grad_norm: 8.8790 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0044 loss: 1.0044 2022/07/24 18:08:45 - mmengine - INFO - Epoch(train) [88][180/3757] lr: 1.0000e-04 eta: 9:00:45 time: 0.7578 data_time: 0.3108 memory: 17350 grad_norm: 8.5989 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0678 loss: 1.0678 2022/07/24 18:08:57 - mmengine - INFO - Epoch(train) [88][200/3757] lr: 1.0000e-04 eta: 9:00:31 time: 0.6161 data_time: 0.1287 memory: 17350 grad_norm: 8.6402 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9835 loss: 0.9835 2022/07/24 18:09:12 - mmengine - INFO - Epoch(train) [88][220/3757] lr: 1.0000e-04 eta: 9:00:18 time: 0.7463 data_time: 0.2492 memory: 17350 grad_norm: 9.0012 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9856 loss: 0.9856 2022/07/24 18:09:24 - mmengine - INFO - Epoch(train) [88][240/3757] lr: 1.0000e-04 eta: 9:00:05 time: 0.5873 data_time: 0.1052 memory: 17350 grad_norm: 8.9297 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3120 loss: 1.3120 2022/07/24 18:09:39 - mmengine - INFO - Epoch(train) [88][260/3757] lr: 1.0000e-04 eta: 8:59:52 time: 0.7400 data_time: 0.1679 memory: 17350 grad_norm: 8.7911 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9934 loss: 0.9934 2022/07/24 18:09:50 - mmengine - INFO - Epoch(train) [88][280/3757] lr: 1.0000e-04 eta: 8:59:38 time: 0.5814 data_time: 0.0271 memory: 17350 grad_norm: 8.7904 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8570 loss: 0.8570 2022/07/24 18:10:05 - mmengine - INFO - Epoch(train) [88][300/3757] lr: 1.0000e-04 eta: 8:59:25 time: 0.7441 data_time: 0.0227 memory: 17350 grad_norm: 8.8890 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9187 loss: 0.9187 2022/07/24 18:10:17 - mmengine - INFO - Epoch(train) [88][320/3757] lr: 1.0000e-04 eta: 8:59:11 time: 0.6033 data_time: 0.0237 memory: 17350 grad_norm: 8.8911 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9317 loss: 0.9317 2022/07/24 18:10:32 - mmengine - INFO - Epoch(train) [88][340/3757] lr: 1.0000e-04 eta: 8:58:58 time: 0.7416 data_time: 0.0221 memory: 17350 grad_norm: 8.7064 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9274 loss: 0.9274 2022/07/24 18:10:44 - mmengine - INFO - Epoch(train) [88][360/3757] lr: 1.0000e-04 eta: 8:58:45 time: 0.6082 data_time: 0.0226 memory: 17350 grad_norm: 8.5787 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1610 loss: 1.1610 2022/07/24 18:10:59 - mmengine - INFO - Epoch(train) [88][380/3757] lr: 1.0000e-04 eta: 8:58:32 time: 0.7152 data_time: 0.0241 memory: 17350 grad_norm: 8.5546 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0285 loss: 1.0285 2022/07/24 18:11:10 - mmengine - INFO - Epoch(train) [88][400/3757] lr: 1.0000e-04 eta: 8:58:18 time: 0.5934 data_time: 0.0198 memory: 17350 grad_norm: 9.2076 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8753 loss: 0.8753 2022/07/24 18:11:25 - mmengine - INFO - Epoch(train) [88][420/3757] lr: 1.0000e-04 eta: 8:58:05 time: 0.7158 data_time: 0.0268 memory: 17350 grad_norm: 8.4953 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8079 loss: 0.8079 2022/07/24 18:11:38 - mmengine - INFO - Epoch(train) [88][440/3757] lr: 1.0000e-04 eta: 8:57:52 time: 0.6521 data_time: 0.0225 memory: 17350 grad_norm: 8.8680 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0439 loss: 1.0439 2022/07/24 18:11:51 - mmengine - INFO - Epoch(train) [88][460/3757] lr: 1.0000e-04 eta: 8:57:38 time: 0.6321 data_time: 0.0236 memory: 17350 grad_norm: 9.1939 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1059 loss: 1.1059 2022/07/24 18:12:04 - mmengine - INFO - Epoch(train) [88][480/3757] lr: 1.0000e-04 eta: 8:57:25 time: 0.6985 data_time: 0.0217 memory: 17350 grad_norm: 8.7566 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0186 loss: 1.0186 2022/07/24 18:12:17 - mmengine - INFO - Epoch(train) [88][500/3757] lr: 1.0000e-04 eta: 8:57:11 time: 0.6384 data_time: 0.0268 memory: 17350 grad_norm: 8.7104 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0104 loss: 1.0104 2022/07/24 18:12:31 - mmengine - INFO - Epoch(train) [88][520/3757] lr: 1.0000e-04 eta: 8:56:58 time: 0.6951 data_time: 0.0227 memory: 17350 grad_norm: 8.8833 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9626 loss: 0.9626 2022/07/24 18:12:44 - mmengine - INFO - Epoch(train) [88][540/3757] lr: 1.0000e-04 eta: 8:56:45 time: 0.6257 data_time: 0.0182 memory: 17350 grad_norm: 8.8334 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0416 loss: 1.0416 2022/07/24 18:12:57 - mmengine - INFO - Epoch(train) [88][560/3757] lr: 1.0000e-04 eta: 8:56:31 time: 0.6794 data_time: 0.0251 memory: 17350 grad_norm: 8.5659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7644 loss: 0.7644 2022/07/24 18:13:10 - mmengine - INFO - Epoch(train) [88][580/3757] lr: 1.0000e-04 eta: 8:56:18 time: 0.6427 data_time: 0.0230 memory: 17350 grad_norm: 8.6453 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1076 loss: 1.1076 2022/07/24 18:13:24 - mmengine - INFO - Epoch(train) [88][600/3757] lr: 1.0000e-04 eta: 8:56:05 time: 0.6633 data_time: 0.0235 memory: 17350 grad_norm: 8.9215 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0283 loss: 1.0283 2022/07/24 18:13:37 - mmengine - INFO - Epoch(train) [88][620/3757] lr: 1.0000e-04 eta: 8:55:51 time: 0.6651 data_time: 0.0240 memory: 17350 grad_norm: 8.7563 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7557 loss: 0.7557 2022/07/24 18:13:50 - mmengine - INFO - Epoch(train) [88][640/3757] lr: 1.0000e-04 eta: 8:55:38 time: 0.6708 data_time: 0.0244 memory: 17350 grad_norm: 8.9498 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9781 loss: 0.9781 2022/07/24 18:14:04 - mmengine - INFO - Epoch(train) [88][660/3757] lr: 1.0000e-04 eta: 8:55:25 time: 0.6768 data_time: 0.0210 memory: 17350 grad_norm: 8.7824 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9806 loss: 0.9806 2022/07/24 18:14:17 - mmengine - INFO - Epoch(train) [88][680/3757] lr: 1.0000e-04 eta: 8:55:11 time: 0.6380 data_time: 0.0232 memory: 17350 grad_norm: 8.6126 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9212 loss: 0.9212 2022/07/24 18:14:30 - mmengine - INFO - Epoch(train) [88][700/3757] lr: 1.0000e-04 eta: 8:54:58 time: 0.6817 data_time: 0.0228 memory: 17350 grad_norm: 8.4380 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9773 loss: 0.9773 2022/07/24 18:14:43 - mmengine - INFO - Epoch(train) [88][720/3757] lr: 1.0000e-04 eta: 8:54:45 time: 0.6285 data_time: 0.0213 memory: 17350 grad_norm: 9.0830 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0344 loss: 1.0344 2022/07/24 18:14:57 - mmengine - INFO - Epoch(train) [88][740/3757] lr: 1.0000e-04 eta: 8:54:31 time: 0.7090 data_time: 0.0227 memory: 17350 grad_norm: 8.7715 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9585 loss: 0.9585 2022/07/24 18:15:09 - mmengine - INFO - Epoch(train) [88][760/3757] lr: 1.0000e-04 eta: 8:54:18 time: 0.6214 data_time: 0.0244 memory: 17350 grad_norm: 8.3009 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8165 loss: 0.8165 2022/07/24 18:15:23 - mmengine - INFO - Epoch(train) [88][780/3757] lr: 1.0000e-04 eta: 8:54:05 time: 0.6970 data_time: 0.0569 memory: 17350 grad_norm: 8.3319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0254 loss: 1.0254 2022/07/24 18:15:36 - mmengine - INFO - Epoch(train) [88][800/3757] lr: 1.0000e-04 eta: 8:53:51 time: 0.6331 data_time: 0.0561 memory: 17350 grad_norm: 9.1828 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2512 loss: 1.2512 2022/07/24 18:15:50 - mmengine - INFO - Epoch(train) [88][820/3757] lr: 1.0000e-04 eta: 8:53:38 time: 0.7172 data_time: 0.1057 memory: 17350 grad_norm: 8.7637 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1226 loss: 1.1226 2022/07/24 18:16:03 - mmengine - INFO - Epoch(train) [88][840/3757] lr: 1.0000e-04 eta: 8:53:25 time: 0.6366 data_time: 0.0688 memory: 17350 grad_norm: 8.9042 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0972 loss: 1.0972 2022/07/24 18:16:17 - mmengine - INFO - Epoch(train) [88][860/3757] lr: 1.0000e-04 eta: 8:53:11 time: 0.6795 data_time: 0.0433 memory: 17350 grad_norm: 8.7387 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8199 loss: 0.8199 2022/07/24 18:16:29 - mmengine - INFO - Epoch(train) [88][880/3757] lr: 1.0000e-04 eta: 8:52:58 time: 0.5904 data_time: 0.0922 memory: 17350 grad_norm: 9.2190 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2587 loss: 1.2587 2022/07/24 18:16:43 - mmengine - INFO - Epoch(train) [88][900/3757] lr: 1.0000e-04 eta: 8:52:44 time: 0.7105 data_time: 0.2126 memory: 17350 grad_norm: 8.6404 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8906 loss: 0.8906 2022/07/24 18:16:56 - mmengine - INFO - Epoch(train) [88][920/3757] lr: 1.0000e-04 eta: 8:52:31 time: 0.6312 data_time: 0.0741 memory: 17350 grad_norm: 8.5776 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8363 loss: 0.8363 2022/07/24 18:17:09 - mmengine - INFO - Epoch(train) [88][940/3757] lr: 1.0000e-04 eta: 8:52:18 time: 0.6911 data_time: 0.1260 memory: 17350 grad_norm: 8.6178 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8466 loss: 0.8466 2022/07/24 18:17:22 - mmengine - INFO - Epoch(train) [88][960/3757] lr: 1.0000e-04 eta: 8:52:04 time: 0.6377 data_time: 0.0214 memory: 17350 grad_norm: 9.0346 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8308 loss: 0.8308 2022/07/24 18:17:36 - mmengine - INFO - Epoch(train) [88][980/3757] lr: 1.0000e-04 eta: 8:51:51 time: 0.6989 data_time: 0.0229 memory: 17350 grad_norm: 9.0643 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9986 loss: 0.9986 2022/07/24 18:17:50 - mmengine - INFO - Epoch(train) [88][1000/3757] lr: 1.0000e-04 eta: 8:51:38 time: 0.6756 data_time: 0.0571 memory: 17350 grad_norm: 8.7740 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8896 loss: 0.8896 2022/07/24 18:18:02 - mmengine - INFO - Epoch(train) [88][1020/3757] lr: 1.0000e-04 eta: 8:51:24 time: 0.6238 data_time: 0.0225 memory: 17350 grad_norm: 8.7203 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9272 loss: 0.9272 2022/07/24 18:18:17 - mmengine - INFO - Epoch(train) [88][1040/3757] lr: 1.0000e-04 eta: 8:51:11 time: 0.7472 data_time: 0.0239 memory: 17350 grad_norm: 9.0305 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9863 loss: 0.9863 2022/07/24 18:18:29 - mmengine - INFO - Epoch(train) [88][1060/3757] lr: 1.0000e-04 eta: 8:50:58 time: 0.6019 data_time: 0.0224 memory: 17350 grad_norm: 8.8856 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9473 loss: 0.9473 2022/07/24 18:18:43 - mmengine - INFO - Epoch(train) [88][1080/3757] lr: 1.0000e-04 eta: 8:50:44 time: 0.6819 data_time: 0.0229 memory: 17350 grad_norm: 9.0233 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1301 loss: 1.1301 2022/07/24 18:18:56 - mmengine - INFO - Epoch(train) [88][1100/3757] lr: 1.0000e-04 eta: 8:50:31 time: 0.6728 data_time: 0.0755 memory: 17350 grad_norm: 9.0658 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1898 loss: 1.1898 2022/07/24 18:19:09 - mmengine - INFO - Epoch(train) [88][1120/3757] lr: 1.0000e-04 eta: 8:50:18 time: 0.6364 data_time: 0.0274 memory: 17350 grad_norm: 9.2840 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1906 loss: 1.1906 2022/07/24 18:19:23 - mmengine - INFO - Epoch(train) [88][1140/3757] lr: 1.0000e-04 eta: 8:50:04 time: 0.6953 data_time: 0.0386 memory: 17350 grad_norm: 8.8170 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9399 loss: 0.9399 2022/07/24 18:19:25 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 18:19:36 - mmengine - INFO - Epoch(train) [88][1160/3757] lr: 1.0000e-04 eta: 8:49:51 time: 0.6294 data_time: 0.0462 memory: 17350 grad_norm: 8.8606 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8466 loss: 0.8466 2022/07/24 18:19:49 - mmengine - INFO - Epoch(train) [88][1180/3757] lr: 1.0000e-04 eta: 8:49:38 time: 0.6917 data_time: 0.1305 memory: 17350 grad_norm: 8.5944 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1251 loss: 1.1251 2022/07/24 18:20:02 - mmengine - INFO - Epoch(train) [88][1200/3757] lr: 1.0000e-04 eta: 8:49:24 time: 0.6455 data_time: 0.0438 memory: 17350 grad_norm: 8.7373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0176 loss: 1.0176 2022/07/24 18:20:16 - mmengine - INFO - Epoch(train) [88][1220/3757] lr: 1.0000e-04 eta: 8:49:11 time: 0.6859 data_time: 0.1121 memory: 17350 grad_norm: 8.1941 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8251 loss: 0.8251 2022/07/24 18:20:29 - mmengine - INFO - Epoch(train) [88][1240/3757] lr: 1.0000e-04 eta: 8:48:58 time: 0.6661 data_time: 0.0415 memory: 17350 grad_norm: 8.3950 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 0.9754 loss: 0.9754 2022/07/24 18:20:43 - mmengine - INFO - Epoch(train) [88][1260/3757] lr: 1.0000e-04 eta: 8:48:44 time: 0.6516 data_time: 0.0237 memory: 17350 grad_norm: 8.5809 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2239 loss: 1.2239 2022/07/24 18:20:56 - mmengine - INFO - Epoch(train) [88][1280/3757] lr: 1.0000e-04 eta: 8:48:31 time: 0.6780 data_time: 0.0231 memory: 17350 grad_norm: 8.9430 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8988 loss: 0.8988 2022/07/24 18:21:10 - mmengine - INFO - Epoch(train) [88][1300/3757] lr: 1.0000e-04 eta: 8:48:18 time: 0.6798 data_time: 0.0425 memory: 17350 grad_norm: 9.0488 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0820 loss: 1.0820 2022/07/24 18:21:22 - mmengine - INFO - Epoch(train) [88][1320/3757] lr: 1.0000e-04 eta: 8:48:04 time: 0.6343 data_time: 0.0912 memory: 17350 grad_norm: 8.7882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9884 loss: 0.9884 2022/07/24 18:21:36 - mmengine - INFO - Epoch(train) [88][1340/3757] lr: 1.0000e-04 eta: 8:47:51 time: 0.6899 data_time: 0.0885 memory: 17350 grad_norm: 8.6506 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1422 loss: 1.1422 2022/07/24 18:21:49 - mmengine - INFO - Epoch(train) [88][1360/3757] lr: 1.0000e-04 eta: 8:47:38 time: 0.6137 data_time: 0.0894 memory: 17350 grad_norm: 8.9613 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0165 loss: 1.0165 2022/07/24 18:22:03 - mmengine - INFO - Epoch(train) [88][1380/3757] lr: 1.0000e-04 eta: 8:47:24 time: 0.7025 data_time: 0.1487 memory: 17350 grad_norm: 8.9916 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0217 loss: 1.0217 2022/07/24 18:22:16 - mmengine - INFO - Epoch(train) [88][1400/3757] lr: 1.0000e-04 eta: 8:47:11 time: 0.6553 data_time: 0.1063 memory: 17350 grad_norm: 9.0491 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1118 loss: 1.1118 2022/07/24 18:22:29 - mmengine - INFO - Epoch(train) [88][1420/3757] lr: 1.0000e-04 eta: 8:46:58 time: 0.6432 data_time: 0.1049 memory: 17350 grad_norm: 8.6354 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9110 loss: 0.9110 2022/07/24 18:22:43 - mmengine - INFO - Epoch(train) [88][1440/3757] lr: 1.0000e-04 eta: 8:46:44 time: 0.7370 data_time: 0.0650 memory: 17350 grad_norm: 9.0194 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1723 loss: 1.1723 2022/07/24 18:22:56 - mmengine - INFO - Epoch(train) [88][1460/3757] lr: 1.0000e-04 eta: 8:46:31 time: 0.6150 data_time: 0.0981 memory: 17350 grad_norm: 9.0339 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0964 loss: 1.0964 2022/07/24 18:23:09 - mmengine - INFO - Epoch(train) [88][1480/3757] lr: 1.0000e-04 eta: 8:46:18 time: 0.6704 data_time: 0.1402 memory: 17350 grad_norm: 8.7121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0103 loss: 1.0103 2022/07/24 18:23:22 - mmengine - INFO - Epoch(train) [88][1500/3757] lr: 1.0000e-04 eta: 8:46:04 time: 0.6367 data_time: 0.0907 memory: 17350 grad_norm: 8.4012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9715 loss: 0.9715 2022/07/24 18:23:36 - mmengine - INFO - Epoch(train) [88][1520/3757] lr: 1.0000e-04 eta: 8:45:51 time: 0.6912 data_time: 0.0289 memory: 17350 grad_norm: 8.9029 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1227 loss: 1.1227 2022/07/24 18:23:48 - mmengine - INFO - Epoch(train) [88][1540/3757] lr: 1.0000e-04 eta: 8:45:37 time: 0.6138 data_time: 0.0233 memory: 17350 grad_norm: 8.9583 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1649 loss: 1.1649 2022/07/24 18:24:03 - mmengine - INFO - Epoch(train) [88][1560/3757] lr: 1.0000e-04 eta: 8:45:24 time: 0.7278 data_time: 0.0224 memory: 17350 grad_norm: 8.9742 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8922 loss: 0.8922 2022/07/24 18:24:15 - mmengine - INFO - Epoch(train) [88][1580/3757] lr: 1.0000e-04 eta: 8:45:11 time: 0.6052 data_time: 0.0220 memory: 17350 grad_norm: 8.5339 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7695 loss: 0.7695 2022/07/24 18:24:29 - mmengine - INFO - Epoch(train) [88][1600/3757] lr: 1.0000e-04 eta: 8:44:58 time: 0.7044 data_time: 0.0215 memory: 17350 grad_norm: 8.8572 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9536 loss: 0.9536 2022/07/24 18:24:41 - mmengine - INFO - Epoch(train) [88][1620/3757] lr: 1.0000e-04 eta: 8:44:44 time: 0.6084 data_time: 0.0258 memory: 17350 grad_norm: 8.6656 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1702 loss: 1.1702 2022/07/24 18:24:56 - mmengine - INFO - Epoch(train) [88][1640/3757] lr: 1.0000e-04 eta: 8:44:31 time: 0.7410 data_time: 0.0231 memory: 17350 grad_norm: 8.5207 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8723 loss: 0.8723 2022/07/24 18:25:08 - mmengine - INFO - Epoch(train) [88][1660/3757] lr: 1.0000e-04 eta: 8:44:17 time: 0.6086 data_time: 0.0232 memory: 17350 grad_norm: 8.6860 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9522 loss: 0.9522 2022/07/24 18:25:22 - mmengine - INFO - Epoch(train) [88][1680/3757] lr: 1.0000e-04 eta: 8:44:04 time: 0.7180 data_time: 0.0314 memory: 17350 grad_norm: 8.7600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9147 loss: 0.9147 2022/07/24 18:25:35 - mmengine - INFO - Epoch(train) [88][1700/3757] lr: 1.0000e-04 eta: 8:43:51 time: 0.6508 data_time: 0.1467 memory: 17350 grad_norm: 8.6899 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9634 loss: 0.9634 2022/07/24 18:25:49 - mmengine - INFO - Epoch(train) [88][1720/3757] lr: 1.0000e-04 eta: 8:43:37 time: 0.6628 data_time: 0.1693 memory: 17350 grad_norm: 8.5104 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0296 loss: 1.0296 2022/07/24 18:26:02 - mmengine - INFO - Epoch(train) [88][1740/3757] lr: 1.0000e-04 eta: 8:43:24 time: 0.6619 data_time: 0.2035 memory: 17350 grad_norm: 8.8311 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8023 loss: 0.8023 2022/07/24 18:26:15 - mmengine - INFO - Epoch(train) [88][1760/3757] lr: 1.0000e-04 eta: 8:43:11 time: 0.6702 data_time: 0.0940 memory: 17350 grad_norm: 9.1798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1607 loss: 1.1607 2022/07/24 18:26:29 - mmengine - INFO - Epoch(train) [88][1780/3757] lr: 1.0000e-04 eta: 8:42:57 time: 0.6546 data_time: 0.1306 memory: 17350 grad_norm: 9.0157 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1674 loss: 1.1674 2022/07/24 18:26:42 - mmengine - INFO - Epoch(train) [88][1800/3757] lr: 1.0000e-04 eta: 8:42:44 time: 0.6602 data_time: 0.1535 memory: 17350 grad_norm: 8.7182 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6839 loss: 0.6839 2022/07/24 18:26:55 - mmengine - INFO - Epoch(train) [88][1820/3757] lr: 1.0000e-04 eta: 8:42:31 time: 0.6772 data_time: 0.1461 memory: 17350 grad_norm: 8.3784 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8318 loss: 0.8318 2022/07/24 18:27:09 - mmengine - INFO - Epoch(train) [88][1840/3757] lr: 1.0000e-04 eta: 8:42:17 time: 0.6686 data_time: 0.0291 memory: 17350 grad_norm: 8.7225 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1555 loss: 1.1555 2022/07/24 18:27:22 - mmengine - INFO - Epoch(train) [88][1860/3757] lr: 1.0000e-04 eta: 8:42:04 time: 0.6615 data_time: 0.1051 memory: 17350 grad_norm: 8.4627 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9747 loss: 0.9747 2022/07/24 18:27:36 - mmengine - INFO - Epoch(train) [88][1880/3757] lr: 1.0000e-04 eta: 8:41:51 time: 0.6775 data_time: 0.0998 memory: 17350 grad_norm: 9.0223 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8407 loss: 0.8407 2022/07/24 18:27:48 - mmengine - INFO - Epoch(train) [88][1900/3757] lr: 1.0000e-04 eta: 8:41:37 time: 0.6309 data_time: 0.0859 memory: 17350 grad_norm: 8.4788 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9224 loss: 0.9224 2022/07/24 18:28:02 - mmengine - INFO - Epoch(train) [88][1920/3757] lr: 1.0000e-04 eta: 8:41:24 time: 0.6771 data_time: 0.1054 memory: 17350 grad_norm: 8.5062 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1136 loss: 1.1136 2022/07/24 18:28:15 - mmengine - INFO - Epoch(train) [88][1940/3757] lr: 1.0000e-04 eta: 8:41:11 time: 0.6444 data_time: 0.1270 memory: 17350 grad_norm: 8.5144 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0902 loss: 1.0902 2022/07/24 18:28:29 - mmengine - INFO - Epoch(train) [88][1960/3757] lr: 1.0000e-04 eta: 8:40:57 time: 0.7059 data_time: 0.0423 memory: 17350 grad_norm: 9.0933 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1722 loss: 1.1722 2022/07/24 18:28:41 - mmengine - INFO - Epoch(train) [88][1980/3757] lr: 1.0000e-04 eta: 8:40:44 time: 0.6144 data_time: 0.0263 memory: 17350 grad_norm: 8.7637 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0667 loss: 1.0667 2022/07/24 18:28:56 - mmengine - INFO - Epoch(train) [88][2000/3757] lr: 1.0000e-04 eta: 8:40:31 time: 0.7446 data_time: 0.0252 memory: 17350 grad_norm: 8.6271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9450 loss: 0.9450 2022/07/24 18:29:08 - mmengine - INFO - Epoch(train) [88][2020/3757] lr: 1.0000e-04 eta: 8:40:17 time: 0.5993 data_time: 0.0222 memory: 17350 grad_norm: 8.8533 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0124 loss: 1.0124 2022/07/24 18:29:22 - mmengine - INFO - Epoch(train) [88][2040/3757] lr: 1.0000e-04 eta: 8:40:04 time: 0.7077 data_time: 0.0306 memory: 17350 grad_norm: 8.8798 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9081 loss: 0.9081 2022/07/24 18:29:35 - mmengine - INFO - Epoch(train) [88][2060/3757] lr: 1.0000e-04 eta: 8:39:51 time: 0.6437 data_time: 0.0228 memory: 17350 grad_norm: 9.0352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0601 loss: 1.0601 2022/07/24 18:29:49 - mmengine - INFO - Epoch(train) [88][2080/3757] lr: 1.0000e-04 eta: 8:39:38 time: 0.7191 data_time: 0.0221 memory: 17350 grad_norm: 8.8506 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9155 loss: 0.9155 2022/07/24 18:30:01 - mmengine - INFO - Epoch(train) [88][2100/3757] lr: 1.0000e-04 eta: 8:39:24 time: 0.5954 data_time: 0.0158 memory: 17350 grad_norm: 8.7252 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0583 loss: 1.0583 2022/07/24 18:30:17 - mmengine - INFO - Epoch(train) [88][2120/3757] lr: 1.0000e-04 eta: 8:39:11 time: 0.7579 data_time: 0.0287 memory: 17350 grad_norm: 9.1341 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1985 loss: 1.1985 2022/07/24 18:30:29 - mmengine - INFO - Epoch(train) [88][2140/3757] lr: 1.0000e-04 eta: 8:38:57 time: 0.6306 data_time: 0.0234 memory: 17350 grad_norm: 8.8636 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9283 loss: 0.9283 2022/07/24 18:30:32 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 18:30:43 - mmengine - INFO - Epoch(train) [88][2160/3757] lr: 1.0000e-04 eta: 8:38:44 time: 0.6906 data_time: 0.0239 memory: 17350 grad_norm: 8.9262 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0489 loss: 1.0489 2022/07/24 18:30:55 - mmengine - INFO - Epoch(train) [88][2180/3757] lr: 1.0000e-04 eta: 8:38:31 time: 0.6220 data_time: 0.0224 memory: 17350 grad_norm: 8.9858 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9011 loss: 0.9011 2022/07/24 18:31:09 - mmengine - INFO - Epoch(train) [88][2200/3757] lr: 1.0000e-04 eta: 8:38:17 time: 0.6913 data_time: 0.0226 memory: 17350 grad_norm: 8.8074 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7381 loss: 0.7381 2022/07/24 18:31:23 - mmengine - INFO - Epoch(train) [88][2220/3757] lr: 1.0000e-04 eta: 8:38:04 time: 0.6597 data_time: 0.0245 memory: 17350 grad_norm: 8.6695 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1145 loss: 1.1145 2022/07/24 18:31:36 - mmengine - INFO - Epoch(train) [88][2240/3757] lr: 1.0000e-04 eta: 8:37:51 time: 0.6754 data_time: 0.0232 memory: 17350 grad_norm: 8.9792 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9373 loss: 0.9373 2022/07/24 18:31:48 - mmengine - INFO - Epoch(train) [88][2260/3757] lr: 1.0000e-04 eta: 8:37:37 time: 0.6162 data_time: 0.0225 memory: 17350 grad_norm: 8.7743 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0044 loss: 1.0044 2022/07/24 18:32:03 - mmengine - INFO - Epoch(train) [88][2280/3757] lr: 1.0000e-04 eta: 8:37:24 time: 0.7409 data_time: 0.0211 memory: 17350 grad_norm: 8.9467 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9248 loss: 0.9248 2022/07/24 18:32:15 - mmengine - INFO - Epoch(train) [88][2300/3757] lr: 1.0000e-04 eta: 8:37:11 time: 0.5976 data_time: 0.0233 memory: 17350 grad_norm: 9.0182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0692 loss: 1.0692 2022/07/24 18:32:30 - mmengine - INFO - Epoch(train) [88][2320/3757] lr: 1.0000e-04 eta: 8:36:58 time: 0.7348 data_time: 0.0224 memory: 17350 grad_norm: 8.8733 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2092 loss: 1.2092 2022/07/24 18:32:42 - mmengine - INFO - Epoch(train) [88][2340/3757] lr: 1.0000e-04 eta: 8:36:44 time: 0.5788 data_time: 0.0244 memory: 17350 grad_norm: 9.0643 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0362 loss: 1.0362 2022/07/24 18:32:57 - mmengine - INFO - Epoch(train) [88][2360/3757] lr: 1.0000e-04 eta: 8:36:31 time: 0.7736 data_time: 0.0244 memory: 17350 grad_norm: 8.5607 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9896 loss: 0.9896 2022/07/24 18:33:09 - mmengine - INFO - Epoch(train) [88][2380/3757] lr: 1.0000e-04 eta: 8:36:17 time: 0.6122 data_time: 0.0231 memory: 17350 grad_norm: 8.8630 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8357 loss: 0.8357 2022/07/24 18:33:24 - mmengine - INFO - Epoch(train) [88][2400/3757] lr: 1.0000e-04 eta: 8:36:04 time: 0.7352 data_time: 0.0205 memory: 17350 grad_norm: 9.0742 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9785 loss: 0.9785 2022/07/24 18:33:36 - mmengine - INFO - Epoch(train) [88][2420/3757] lr: 1.0000e-04 eta: 8:35:51 time: 0.5929 data_time: 0.0232 memory: 17350 grad_norm: 9.2353 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1009 loss: 1.1009 2022/07/24 18:33:50 - mmengine - INFO - Epoch(train) [88][2440/3757] lr: 1.0000e-04 eta: 8:35:37 time: 0.6914 data_time: 0.0219 memory: 17350 grad_norm: 8.6776 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8626 loss: 0.8626 2022/07/24 18:34:02 - mmengine - INFO - Epoch(train) [88][2460/3757] lr: 1.0000e-04 eta: 8:35:24 time: 0.6049 data_time: 0.0258 memory: 17350 grad_norm: 8.5430 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9861 loss: 0.9861 2022/07/24 18:34:17 - mmengine - INFO - Epoch(train) [88][2480/3757] lr: 1.0000e-04 eta: 8:35:11 time: 0.7518 data_time: 0.0222 memory: 17350 grad_norm: 8.6833 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0245 loss: 1.0245 2022/07/24 18:34:29 - mmengine - INFO - Epoch(train) [88][2500/3757] lr: 1.0000e-04 eta: 8:34:57 time: 0.5852 data_time: 0.0231 memory: 17350 grad_norm: 8.7223 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8426 loss: 0.8426 2022/07/24 18:34:43 - mmengine - INFO - Epoch(train) [88][2520/3757] lr: 1.0000e-04 eta: 8:34:44 time: 0.7154 data_time: 0.0200 memory: 17350 grad_norm: 8.7699 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0410 loss: 1.0410 2022/07/24 18:34:55 - mmengine - INFO - Epoch(train) [88][2540/3757] lr: 1.0000e-04 eta: 8:34:31 time: 0.5782 data_time: 0.0228 memory: 17350 grad_norm: 8.9279 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0748 loss: 1.0748 2022/07/24 18:35:10 - mmengine - INFO - Epoch(train) [88][2560/3757] lr: 1.0000e-04 eta: 8:34:18 time: 0.7815 data_time: 0.0259 memory: 17350 grad_norm: 8.7792 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9530 loss: 0.9530 2022/07/24 18:35:22 - mmengine - INFO - Epoch(train) [88][2580/3757] lr: 1.0000e-04 eta: 8:34:04 time: 0.6107 data_time: 0.0252 memory: 17350 grad_norm: 9.1196 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1377 loss: 1.1377 2022/07/24 18:35:37 - mmengine - INFO - Epoch(train) [88][2600/3757] lr: 1.0000e-04 eta: 8:33:51 time: 0.7369 data_time: 0.0221 memory: 17350 grad_norm: 9.0483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1986 loss: 1.1986 2022/07/24 18:35:49 - mmengine - INFO - Epoch(train) [88][2620/3757] lr: 1.0000e-04 eta: 8:33:37 time: 0.6016 data_time: 0.0227 memory: 17350 grad_norm: 8.6596 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1507 loss: 1.1507 2022/07/24 18:36:03 - mmengine - INFO - Epoch(train) [88][2640/3757] lr: 1.0000e-04 eta: 8:33:24 time: 0.6976 data_time: 0.0223 memory: 17350 grad_norm: 8.9154 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0983 loss: 1.0983 2022/07/24 18:36:15 - mmengine - INFO - Epoch(train) [88][2660/3757] lr: 1.0000e-04 eta: 8:33:11 time: 0.5719 data_time: 0.0232 memory: 17350 grad_norm: 9.0499 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0126 loss: 1.0126 2022/07/24 18:36:29 - mmengine - INFO - Epoch(train) [88][2680/3757] lr: 1.0000e-04 eta: 8:32:57 time: 0.7381 data_time: 0.0219 memory: 17350 grad_norm: 8.7950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9155 loss: 0.9155 2022/07/24 18:36:42 - mmengine - INFO - Epoch(train) [88][2700/3757] lr: 1.0000e-04 eta: 8:32:44 time: 0.6314 data_time: 0.0222 memory: 17350 grad_norm: 8.6726 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0825 loss: 1.0825 2022/07/24 18:36:56 - mmengine - INFO - Epoch(train) [88][2720/3757] lr: 1.0000e-04 eta: 8:32:31 time: 0.6770 data_time: 0.0228 memory: 17350 grad_norm: 8.5137 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0745 loss: 1.0745 2022/07/24 18:37:09 - mmengine - INFO - Epoch(train) [88][2740/3757] lr: 1.0000e-04 eta: 8:32:17 time: 0.6603 data_time: 0.0271 memory: 17350 grad_norm: 8.6269 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9188 loss: 0.9188 2022/07/24 18:37:22 - mmengine - INFO - Epoch(train) [88][2760/3757] lr: 1.0000e-04 eta: 8:32:04 time: 0.6552 data_time: 0.0243 memory: 17350 grad_norm: 8.9378 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9906 loss: 0.9906 2022/07/24 18:37:35 - mmengine - INFO - Epoch(train) [88][2780/3757] lr: 1.0000e-04 eta: 8:31:50 time: 0.6277 data_time: 0.0235 memory: 17350 grad_norm: 8.6955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9458 loss: 0.9458 2022/07/24 18:37:50 - mmengine - INFO - Epoch(train) [88][2800/3757] lr: 1.0000e-04 eta: 8:31:37 time: 0.7572 data_time: 0.0242 memory: 17350 grad_norm: 8.8121 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1216 loss: 1.1216 2022/07/24 18:38:02 - mmengine - INFO - Epoch(train) [88][2820/3757] lr: 1.0000e-04 eta: 8:31:24 time: 0.6085 data_time: 0.0221 memory: 17350 grad_norm: 9.0318 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1483 loss: 1.1483 2022/07/24 18:38:16 - mmengine - INFO - Epoch(train) [88][2840/3757] lr: 1.0000e-04 eta: 8:31:11 time: 0.7111 data_time: 0.0220 memory: 17350 grad_norm: 8.7261 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9890 loss: 0.9890 2022/07/24 18:38:29 - mmengine - INFO - Epoch(train) [88][2860/3757] lr: 1.0000e-04 eta: 8:30:57 time: 0.6594 data_time: 0.0260 memory: 17350 grad_norm: 9.2170 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1376 loss: 1.1376 2022/07/24 18:38:43 - mmengine - INFO - Epoch(train) [88][2880/3757] lr: 1.0000e-04 eta: 8:30:44 time: 0.6822 data_time: 0.0212 memory: 17350 grad_norm: 8.8571 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2251 loss: 1.2251 2022/07/24 18:38:55 - mmengine - INFO - Epoch(train) [88][2900/3757] lr: 1.0000e-04 eta: 8:30:30 time: 0.5861 data_time: 0.0247 memory: 17350 grad_norm: 8.7413 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0135 loss: 1.0135 2022/07/24 18:39:10 - mmengine - INFO - Epoch(train) [88][2920/3757] lr: 1.0000e-04 eta: 8:30:17 time: 0.7666 data_time: 0.0228 memory: 17350 grad_norm: 8.6956 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0162 loss: 1.0162 2022/07/24 18:39:22 - mmengine - INFO - Epoch(train) [88][2940/3757] lr: 1.0000e-04 eta: 8:30:04 time: 0.5937 data_time: 0.0223 memory: 17350 grad_norm: 8.5103 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8042 loss: 0.8042 2022/07/24 18:39:36 - mmengine - INFO - Epoch(train) [88][2960/3757] lr: 1.0000e-04 eta: 8:29:51 time: 0.7012 data_time: 0.0229 memory: 17350 grad_norm: 8.6372 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7959 loss: 0.7959 2022/07/24 18:39:49 - mmengine - INFO - Epoch(train) [88][2980/3757] lr: 1.0000e-04 eta: 8:29:37 time: 0.6455 data_time: 0.0245 memory: 17350 grad_norm: 8.6359 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7500 loss: 0.7500 2022/07/24 18:40:02 - mmengine - INFO - Epoch(train) [88][3000/3757] lr: 1.0000e-04 eta: 8:29:24 time: 0.6435 data_time: 0.0227 memory: 17350 grad_norm: 8.9406 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9018 loss: 0.9018 2022/07/24 18:40:16 - mmengine - INFO - Epoch(train) [88][3020/3757] lr: 1.0000e-04 eta: 8:29:11 time: 0.6828 data_time: 0.0283 memory: 17350 grad_norm: 8.6827 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7171 loss: 0.7171 2022/07/24 18:40:29 - mmengine - INFO - Epoch(train) [88][3040/3757] lr: 1.0000e-04 eta: 8:28:57 time: 0.6570 data_time: 0.0245 memory: 17350 grad_norm: 8.7502 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0013 loss: 1.0013 2022/07/24 18:40:44 - mmengine - INFO - Epoch(train) [88][3060/3757] lr: 1.0000e-04 eta: 8:28:44 time: 0.7399 data_time: 0.0230 memory: 17350 grad_norm: 8.9962 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8391 loss: 0.8391 2022/07/24 18:40:56 - mmengine - INFO - Epoch(train) [88][3080/3757] lr: 1.0000e-04 eta: 8:28:31 time: 0.6046 data_time: 0.0218 memory: 17350 grad_norm: 8.6054 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9381 loss: 0.9381 2022/07/24 18:41:11 - mmengine - INFO - Epoch(train) [88][3100/3757] lr: 1.0000e-04 eta: 8:28:17 time: 0.7438 data_time: 0.0229 memory: 17350 grad_norm: 9.0320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0091 loss: 1.0091 2022/07/24 18:41:22 - mmengine - INFO - Epoch(train) [88][3120/3757] lr: 1.0000e-04 eta: 8:28:04 time: 0.5796 data_time: 0.0230 memory: 17350 grad_norm: 9.5514 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3198 loss: 1.3198 2022/07/24 18:41:36 - mmengine - INFO - Epoch(train) [88][3140/3757] lr: 1.0000e-04 eta: 8:27:51 time: 0.7043 data_time: 0.0224 memory: 17350 grad_norm: 9.4484 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1166 loss: 1.1166 2022/07/24 18:41:37 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 18:41:49 - mmengine - INFO - Epoch(train) [88][3160/3757] lr: 1.0000e-04 eta: 8:27:37 time: 0.6303 data_time: 0.0236 memory: 17350 grad_norm: 8.8289 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2100 loss: 1.2100 2022/07/24 18:42:04 - mmengine - INFO - Epoch(train) [88][3180/3757] lr: 1.0000e-04 eta: 8:27:24 time: 0.7382 data_time: 0.0261 memory: 17350 grad_norm: 8.7679 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9201 loss: 0.9201 2022/07/24 18:42:16 - mmengine - INFO - Epoch(train) [88][3200/3757] lr: 1.0000e-04 eta: 8:27:11 time: 0.6007 data_time: 0.0233 memory: 17350 grad_norm: 8.7650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9091 loss: 0.9091 2022/07/24 18:42:30 - mmengine - INFO - Epoch(train) [88][3220/3757] lr: 1.0000e-04 eta: 8:26:57 time: 0.6980 data_time: 0.0228 memory: 17350 grad_norm: 9.0343 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0298 loss: 1.0298 2022/07/24 18:42:42 - mmengine - INFO - Epoch(train) [88][3240/3757] lr: 1.0000e-04 eta: 8:26:44 time: 0.6299 data_time: 0.0238 memory: 17350 grad_norm: 8.9247 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1325 loss: 1.1325 2022/07/24 18:42:56 - mmengine - INFO - Epoch(train) [88][3260/3757] lr: 1.0000e-04 eta: 8:26:31 time: 0.6993 data_time: 0.0223 memory: 17350 grad_norm: 8.6907 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0281 loss: 1.0281 2022/07/24 18:43:09 - mmengine - INFO - Epoch(train) [88][3280/3757] lr: 1.0000e-04 eta: 8:26:17 time: 0.6139 data_time: 0.0243 memory: 17350 grad_norm: 9.0646 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1417 loss: 1.1417 2022/07/24 18:43:23 - mmengine - INFO - Epoch(train) [88][3300/3757] lr: 1.0000e-04 eta: 8:26:04 time: 0.7050 data_time: 0.0234 memory: 17350 grad_norm: 9.0563 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2348 loss: 1.2348 2022/07/24 18:43:34 - mmengine - INFO - Epoch(train) [88][3320/3757] lr: 1.0000e-04 eta: 8:25:50 time: 0.5865 data_time: 0.0230 memory: 17350 grad_norm: 8.8557 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1443 loss: 1.1443 2022/07/24 18:43:49 - mmengine - INFO - Epoch(train) [88][3340/3757] lr: 1.0000e-04 eta: 8:25:37 time: 0.7325 data_time: 0.0223 memory: 17350 grad_norm: 8.8836 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9521 loss: 0.9521 2022/07/24 18:44:01 - mmengine - INFO - Epoch(train) [88][3360/3757] lr: 1.0000e-04 eta: 8:25:24 time: 0.5909 data_time: 0.0243 memory: 17350 grad_norm: 8.8792 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0590 loss: 1.0590 2022/07/24 18:44:14 - mmengine - INFO - Epoch(train) [88][3380/3757] lr: 1.0000e-04 eta: 8:25:10 time: 0.6716 data_time: 0.0140 memory: 17350 grad_norm: 8.7558 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9638 loss: 0.9638 2022/07/24 18:44:27 - mmengine - INFO - Epoch(train) [88][3400/3757] lr: 1.0000e-04 eta: 8:24:57 time: 0.6132 data_time: 0.0243 memory: 17350 grad_norm: 8.9219 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0017 loss: 1.0017 2022/07/24 18:44:40 - mmengine - INFO - Epoch(train) [88][3420/3757] lr: 1.0000e-04 eta: 8:24:43 time: 0.6616 data_time: 0.0212 memory: 17350 grad_norm: 8.8765 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1066 loss: 1.1066 2022/07/24 18:44:53 - mmengine - INFO - Epoch(train) [88][3440/3757] lr: 1.0000e-04 eta: 8:24:30 time: 0.6650 data_time: 0.0213 memory: 17350 grad_norm: 8.6368 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9795 loss: 0.9795 2022/07/24 18:45:07 - mmengine - INFO - Epoch(train) [88][3460/3757] lr: 1.0000e-04 eta: 8:24:17 time: 0.6901 data_time: 0.0241 memory: 17350 grad_norm: 8.8849 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0363 loss: 1.0363 2022/07/24 18:45:21 - mmengine - INFO - Epoch(train) [88][3480/3757] lr: 1.0000e-04 eta: 8:24:04 time: 0.6919 data_time: 0.0238 memory: 17350 grad_norm: 8.8455 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.0090 loss: 1.0090 2022/07/24 18:45:33 - mmengine - INFO - Epoch(train) [88][3500/3757] lr: 1.0000e-04 eta: 8:23:50 time: 0.6254 data_time: 0.0219 memory: 17350 grad_norm: 8.4425 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6909 loss: 0.6909 2022/07/24 18:45:47 - mmengine - INFO - Epoch(train) [88][3520/3757] lr: 1.0000e-04 eta: 8:23:37 time: 0.6855 data_time: 0.0223 memory: 17350 grad_norm: 8.5429 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7933 loss: 0.7933 2022/07/24 18:46:00 - mmengine - INFO - Epoch(train) [88][3540/3757] lr: 1.0000e-04 eta: 8:23:24 time: 0.6578 data_time: 0.0236 memory: 17350 grad_norm: 8.6370 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7211 loss: 0.7211 2022/07/24 18:46:14 - mmengine - INFO - Epoch(train) [88][3560/3757] lr: 1.0000e-04 eta: 8:23:10 time: 0.6589 data_time: 0.0217 memory: 17350 grad_norm: 8.7372 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9626 loss: 0.9626 2022/07/24 18:46:27 - mmengine - INFO - Epoch(train) [88][3580/3757] lr: 1.0000e-04 eta: 8:22:57 time: 0.6832 data_time: 0.0257 memory: 17350 grad_norm: 9.1638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0840 loss: 1.0840 2022/07/24 18:46:40 - mmengine - INFO - Epoch(train) [88][3600/3757] lr: 1.0000e-04 eta: 8:22:43 time: 0.6248 data_time: 0.0240 memory: 17350 grad_norm: 8.6667 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9693 loss: 0.9693 2022/07/24 18:46:53 - mmengine - INFO - Epoch(train) [88][3620/3757] lr: 1.0000e-04 eta: 8:22:30 time: 0.6802 data_time: 0.0227 memory: 17350 grad_norm: 8.8211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8503 loss: 0.8503 2022/07/24 18:47:08 - mmengine - INFO - Epoch(train) [88][3640/3757] lr: 1.0000e-04 eta: 8:22:17 time: 0.7081 data_time: 0.0245 memory: 17350 grad_norm: 9.0461 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9413 loss: 0.9413 2022/07/24 18:47:21 - mmengine - INFO - Epoch(train) [88][3660/3757] lr: 1.0000e-04 eta: 8:22:04 time: 0.6879 data_time: 0.0218 memory: 17350 grad_norm: 8.6741 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9564 loss: 0.9564 2022/07/24 18:47:34 - mmengine - INFO - Epoch(train) [88][3680/3757] lr: 1.0000e-04 eta: 8:21:50 time: 0.6219 data_time: 0.0221 memory: 17350 grad_norm: 9.1030 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6832 loss: 0.6832 2022/07/24 18:47:48 - mmengine - INFO - Epoch(train) [88][3700/3757] lr: 1.0000e-04 eta: 8:21:37 time: 0.7163 data_time: 0.0217 memory: 17350 grad_norm: 8.8591 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1050 loss: 1.1050 2022/07/24 18:48:01 - mmengine - INFO - Epoch(train) [88][3720/3757] lr: 1.0000e-04 eta: 8:21:24 time: 0.6497 data_time: 0.0236 memory: 17350 grad_norm: 8.7628 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8065 loss: 0.8065 2022/07/24 18:48:15 - mmengine - INFO - Epoch(train) [88][3740/3757] lr: 1.0000e-04 eta: 8:21:10 time: 0.6810 data_time: 0.0220 memory: 17350 grad_norm: 8.6223 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9784 loss: 0.9784 2022/07/24 18:48:22 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 18:48:22 - mmengine - INFO - Epoch(train) [88][3757/3757] lr: 1.0000e-04 eta: 8:21:10 time: 0.5149 data_time: 0.0219 memory: 17350 grad_norm: 8.6406 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9215 loss: 0.9215 2022/07/24 18:48:38 - mmengine - INFO - Epoch(val) [88][20/310] eta: 0:03:53 time: 0.8056 data_time: 0.6816 memory: 3406 2022/07/24 18:48:50 - mmengine - INFO - Epoch(val) [88][40/310] eta: 0:02:34 time: 0.5735 data_time: 0.4588 memory: 3406 2022/07/24 18:49:05 - mmengine - INFO - Epoch(val) [88][60/310] eta: 0:03:12 time: 0.7698 data_time: 0.6555 memory: 3406 2022/07/24 18:49:16 - mmengine - INFO - Epoch(val) [88][80/310] eta: 0:02:05 time: 0.5441 data_time: 0.4302 memory: 3406 2022/07/24 18:49:31 - mmengine - INFO - Epoch(val) [88][100/310] eta: 0:02:35 time: 0.7423 data_time: 0.6278 memory: 3406 2022/07/24 18:49:43 - mmengine - INFO - Epoch(val) [88][120/310] eta: 0:01:50 time: 0.5840 data_time: 0.4715 memory: 3406 2022/07/24 18:49:58 - mmengine - INFO - Epoch(val) [88][140/310] eta: 0:02:09 time: 0.7616 data_time: 0.6463 memory: 3406 2022/07/24 18:50:10 - mmengine - INFO - Epoch(val) [88][160/310] eta: 0:01:34 time: 0.6271 data_time: 0.5128 memory: 3406 2022/07/24 18:50:25 - mmengine - INFO - Epoch(val) [88][180/310] eta: 0:01:33 time: 0.7182 data_time: 0.5971 memory: 3406 2022/07/24 18:50:36 - mmengine - INFO - Epoch(val) [88][200/310] eta: 0:01:03 time: 0.5818 data_time: 0.4686 memory: 3406 2022/07/24 18:50:51 - mmengine - INFO - Epoch(val) [88][220/310] eta: 0:01:07 time: 0.7484 data_time: 0.6354 memory: 3406 2022/07/24 18:51:02 - mmengine - INFO - Epoch(val) [88][240/310] eta: 0:00:38 time: 0.5462 data_time: 0.4347 memory: 3406 2022/07/24 18:51:17 - mmengine - INFO - Epoch(val) [88][260/310] eta: 0:00:37 time: 0.7531 data_time: 0.6388 memory: 3406 2022/07/24 18:51:29 - mmengine - INFO - Epoch(val) [88][280/310] eta: 0:00:17 time: 0.5754 data_time: 0.4629 memory: 3406 2022/07/24 18:51:45 - mmengine - INFO - Epoch(val) [88][300/310] eta: 0:00:07 time: 0.7790 data_time: 0.6659 memory: 3406 2022/07/24 18:51:48 - mmengine - INFO - Epoch(val) [88][310/310] acc/top1: 0.6902 acc/top5: 0.8780 acc/mean1: 0.6901 2022/07/24 18:52:06 - mmengine - INFO - Epoch(train) [89][20/3757] lr: 1.0000e-04 eta: 8:20:45 time: 0.8859 data_time: 0.4494 memory: 17350 grad_norm: 8.8721 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1066 loss: 1.1066 2022/07/24 18:52:19 - mmengine - INFO - Epoch(train) [89][40/3757] lr: 1.0000e-04 eta: 8:20:31 time: 0.6347 data_time: 0.0839 memory: 17350 grad_norm: 8.7492 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7408 loss: 0.7408 2022/07/24 18:52:33 - mmengine - INFO - Epoch(train) [89][60/3757] lr: 1.0000e-04 eta: 8:20:18 time: 0.7236 data_time: 0.0952 memory: 17350 grad_norm: 8.8089 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0965 loss: 1.0965 2022/07/24 18:52:45 - mmengine - INFO - Epoch(train) [89][80/3757] lr: 1.0000e-04 eta: 8:20:05 time: 0.5954 data_time: 0.0442 memory: 17350 grad_norm: 8.7002 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9400 loss: 0.9400 2022/07/24 18:53:00 - mmengine - INFO - Epoch(train) [89][100/3757] lr: 1.0000e-04 eta: 8:19:51 time: 0.7640 data_time: 0.1458 memory: 17350 grad_norm: 8.6604 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3247 loss: 1.3247 2022/07/24 18:53:12 - mmengine - INFO - Epoch(train) [89][120/3757] lr: 1.0000e-04 eta: 8:19:38 time: 0.5861 data_time: 0.0908 memory: 17350 grad_norm: 8.7379 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8756 loss: 0.8756 2022/07/24 18:53:27 - mmengine - INFO - Epoch(train) [89][140/3757] lr: 1.0000e-04 eta: 8:19:25 time: 0.7478 data_time: 0.1216 memory: 17350 grad_norm: 8.8811 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8925 loss: 0.8925 2022/07/24 18:53:39 - mmengine - INFO - Epoch(train) [89][160/3757] lr: 1.0000e-04 eta: 8:19:11 time: 0.6089 data_time: 0.1254 memory: 17350 grad_norm: 8.9750 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9140 loss: 0.9140 2022/07/24 18:53:54 - mmengine - INFO - Epoch(train) [89][180/3757] lr: 1.0000e-04 eta: 8:18:58 time: 0.7148 data_time: 0.2618 memory: 17350 grad_norm: 9.3708 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1838 loss: 1.1838 2022/07/24 18:54:05 - mmengine - INFO - Epoch(train) [89][200/3757] lr: 1.0000e-04 eta: 8:18:45 time: 0.5806 data_time: 0.1205 memory: 17350 grad_norm: 9.0155 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1608 loss: 1.1608 2022/07/24 18:54:21 - mmengine - INFO - Epoch(train) [89][220/3757] lr: 1.0000e-04 eta: 8:18:31 time: 0.7726 data_time: 0.1769 memory: 17350 grad_norm: 9.0404 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1054 loss: 1.1054 2022/07/24 18:54:33 - mmengine - INFO - Epoch(train) [89][240/3757] lr: 1.0000e-04 eta: 8:18:18 time: 0.6067 data_time: 0.0840 memory: 17350 grad_norm: 8.9656 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8798 loss: 0.8798 2022/07/24 18:54:48 - mmengine - INFO - Epoch(train) [89][260/3757] lr: 1.0000e-04 eta: 8:18:05 time: 0.7282 data_time: 0.0228 memory: 17350 grad_norm: 8.6944 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0571 loss: 1.0571 2022/07/24 18:55:00 - mmengine - INFO - Epoch(train) [89][280/3757] lr: 1.0000e-04 eta: 8:17:51 time: 0.6069 data_time: 0.0374 memory: 17350 grad_norm: 8.7326 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9204 loss: 0.9204 2022/07/24 18:55:15 - mmengine - INFO - Epoch(train) [89][300/3757] lr: 1.0000e-04 eta: 8:17:38 time: 0.7580 data_time: 0.0241 memory: 17350 grad_norm: 8.6961 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7525 loss: 0.7525 2022/07/24 18:55:26 - mmengine - INFO - Epoch(train) [89][320/3757] lr: 1.0000e-04 eta: 8:17:25 time: 0.5487 data_time: 0.0230 memory: 17350 grad_norm: 8.7364 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0554 loss: 1.0554 2022/07/24 18:55:41 - mmengine - INFO - Epoch(train) [89][340/3757] lr: 1.0000e-04 eta: 8:17:12 time: 0.7625 data_time: 0.0227 memory: 17350 grad_norm: 8.3540 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7306 loss: 0.7306 2022/07/24 18:55:53 - mmengine - INFO - Epoch(train) [89][360/3757] lr: 1.0000e-04 eta: 8:16:58 time: 0.5941 data_time: 0.0233 memory: 17350 grad_norm: 9.1910 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9448 loss: 0.9448 2022/07/24 18:56:08 - mmengine - INFO - Epoch(train) [89][380/3757] lr: 1.0000e-04 eta: 8:16:45 time: 0.7396 data_time: 0.0221 memory: 17350 grad_norm: 9.0649 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0262 loss: 1.0262 2022/07/24 18:56:10 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 18:56:20 - mmengine - INFO - Epoch(train) [89][400/3757] lr: 1.0000e-04 eta: 8:16:31 time: 0.6030 data_time: 0.0262 memory: 17350 grad_norm: 9.2270 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0440 loss: 1.0440 2022/07/24 18:56:35 - mmengine - INFO - Epoch(train) [89][420/3757] lr: 1.0000e-04 eta: 8:16:18 time: 0.7286 data_time: 0.0415 memory: 17350 grad_norm: 8.8647 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9617 loss: 0.9617 2022/07/24 18:56:46 - mmengine - INFO - Epoch(train) [89][440/3757] lr: 1.0000e-04 eta: 8:16:05 time: 0.5838 data_time: 0.0240 memory: 17350 grad_norm: 8.7361 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0243 loss: 1.0243 2022/07/24 18:57:01 - mmengine - INFO - Epoch(train) [89][460/3757] lr: 1.0000e-04 eta: 8:15:51 time: 0.7388 data_time: 0.0336 memory: 17350 grad_norm: 8.7771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2927 loss: 1.2927 2022/07/24 18:57:13 - mmengine - INFO - Epoch(train) [89][480/3757] lr: 1.0000e-04 eta: 8:15:38 time: 0.5986 data_time: 0.0401 memory: 17350 grad_norm: 8.7580 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8461 loss: 0.8461 2022/07/24 18:57:27 - mmengine - INFO - Epoch(train) [89][500/3757] lr: 1.0000e-04 eta: 8:15:25 time: 0.7109 data_time: 0.1382 memory: 17350 grad_norm: 8.5123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9267 loss: 0.9267 2022/07/24 18:57:40 - mmengine - INFO - Epoch(train) [89][520/3757] lr: 1.0000e-04 eta: 8:15:11 time: 0.6183 data_time: 0.1166 memory: 17350 grad_norm: 8.9448 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2020 loss: 1.2020 2022/07/24 18:57:54 - mmengine - INFO - Epoch(train) [89][540/3757] lr: 1.0000e-04 eta: 8:14:58 time: 0.7287 data_time: 0.1019 memory: 17350 grad_norm: 8.3377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7991 loss: 0.7991 2022/07/24 18:58:06 - mmengine - INFO - Epoch(train) [89][560/3757] lr: 1.0000e-04 eta: 8:14:45 time: 0.6095 data_time: 0.0686 memory: 17350 grad_norm: 8.6723 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9735 loss: 0.9735 2022/07/24 18:58:21 - mmengine - INFO - Epoch(train) [89][580/3757] lr: 1.0000e-04 eta: 8:14:31 time: 0.7209 data_time: 0.0334 memory: 17350 grad_norm: 8.8800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0821 loss: 1.0821 2022/07/24 18:58:33 - mmengine - INFO - Epoch(train) [89][600/3757] lr: 1.0000e-04 eta: 8:14:18 time: 0.6067 data_time: 0.0233 memory: 17350 grad_norm: 9.1510 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0605 loss: 1.0605 2022/07/24 18:58:47 - mmengine - INFO - Epoch(train) [89][620/3757] lr: 1.0000e-04 eta: 8:14:05 time: 0.7073 data_time: 0.0233 memory: 17350 grad_norm: 9.1471 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7868 loss: 0.7868 2022/07/24 18:58:59 - mmengine - INFO - Epoch(train) [89][640/3757] lr: 1.0000e-04 eta: 8:13:51 time: 0.6026 data_time: 0.0223 memory: 17350 grad_norm: 8.9975 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7936 loss: 0.7936 2022/07/24 18:59:15 - mmengine - INFO - Epoch(train) [89][660/3757] lr: 1.0000e-04 eta: 8:13:38 time: 0.7682 data_time: 0.0231 memory: 17350 grad_norm: 8.9964 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8997 loss: 0.8997 2022/07/24 18:59:26 - mmengine - INFO - Epoch(train) [89][680/3757] lr: 1.0000e-04 eta: 8:13:25 time: 0.5667 data_time: 0.0223 memory: 17350 grad_norm: 8.5034 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9115 loss: 0.9115 2022/07/24 18:59:41 - mmengine - INFO - Epoch(train) [89][700/3757] lr: 1.0000e-04 eta: 8:13:11 time: 0.7448 data_time: 0.0214 memory: 17350 grad_norm: 8.4047 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8784 loss: 0.8784 2022/07/24 18:59:53 - mmengine - INFO - Epoch(train) [89][720/3757] lr: 1.0000e-04 eta: 8:12:58 time: 0.6055 data_time: 0.0229 memory: 17350 grad_norm: 8.8701 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0049 loss: 1.0049 2022/07/24 19:00:09 - mmengine - INFO - Epoch(train) [89][740/3757] lr: 1.0000e-04 eta: 8:12:45 time: 0.7699 data_time: 0.0869 memory: 17350 grad_norm: 9.0097 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0178 loss: 1.0178 2022/07/24 19:00:21 - mmengine - INFO - Epoch(train) [89][760/3757] lr: 1.0000e-04 eta: 8:12:31 time: 0.6476 data_time: 0.0242 memory: 17350 grad_norm: 8.7504 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9565 loss: 0.9565 2022/07/24 19:00:36 - mmengine - INFO - Epoch(train) [89][780/3757] lr: 1.0000e-04 eta: 8:12:18 time: 0.7097 data_time: 0.0251 memory: 17350 grad_norm: 8.7514 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1497 loss: 1.1497 2022/07/24 19:00:48 - mmengine - INFO - Epoch(train) [89][800/3757] lr: 1.0000e-04 eta: 8:12:05 time: 0.5937 data_time: 0.0241 memory: 17350 grad_norm: 8.9292 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1733 loss: 1.1733 2022/07/24 19:01:02 - mmengine - INFO - Epoch(train) [89][820/3757] lr: 1.0000e-04 eta: 8:11:52 time: 0.7314 data_time: 0.0218 memory: 17350 grad_norm: 8.7806 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8950 loss: 0.8950 2022/07/24 19:01:14 - mmengine - INFO - Epoch(train) [89][840/3757] lr: 1.0000e-04 eta: 8:11:38 time: 0.5864 data_time: 0.0246 memory: 17350 grad_norm: 8.8883 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0682 loss: 1.0682 2022/07/24 19:01:28 - mmengine - INFO - Epoch(train) [89][860/3757] lr: 1.0000e-04 eta: 8:11:25 time: 0.6844 data_time: 0.0229 memory: 17350 grad_norm: 9.1236 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9858 loss: 0.9858 2022/07/24 19:01:40 - mmengine - INFO - Epoch(train) [89][880/3757] lr: 1.0000e-04 eta: 8:11:11 time: 0.5987 data_time: 0.0249 memory: 17350 grad_norm: 9.1253 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0987 loss: 1.0987 2022/07/24 19:01:54 - mmengine - INFO - Epoch(train) [89][900/3757] lr: 1.0000e-04 eta: 8:10:58 time: 0.7057 data_time: 0.0223 memory: 17350 grad_norm: 8.6961 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8705 loss: 0.8705 2022/07/24 19:02:07 - mmengine - INFO - Epoch(train) [89][920/3757] lr: 1.0000e-04 eta: 8:10:45 time: 0.6548 data_time: 0.0238 memory: 17350 grad_norm: 8.9176 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0380 loss: 1.0380 2022/07/24 19:02:21 - mmengine - INFO - Epoch(train) [89][940/3757] lr: 1.0000e-04 eta: 8:10:31 time: 0.7015 data_time: 0.0228 memory: 17350 grad_norm: 9.1727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0739 loss: 1.0739 2022/07/24 19:02:33 - mmengine - INFO - Epoch(train) [89][960/3757] lr: 1.0000e-04 eta: 8:10:18 time: 0.5954 data_time: 0.0231 memory: 17350 grad_norm: 8.8582 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9472 loss: 0.9472 2022/07/24 19:02:47 - mmengine - INFO - Epoch(train) [89][980/3757] lr: 1.0000e-04 eta: 8:10:05 time: 0.7211 data_time: 0.0242 memory: 17350 grad_norm: 8.8024 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9356 loss: 0.9356 2022/07/24 19:02:59 - mmengine - INFO - Epoch(train) [89][1000/3757] lr: 1.0000e-04 eta: 8:09:51 time: 0.5839 data_time: 0.0220 memory: 17350 grad_norm: 8.9824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9239 loss: 0.9239 2022/07/24 19:03:13 - mmengine - INFO - Epoch(train) [89][1020/3757] lr: 1.0000e-04 eta: 8:09:38 time: 0.7132 data_time: 0.0230 memory: 17350 grad_norm: 8.6692 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0039 loss: 1.0039 2022/07/24 19:03:26 - mmengine - INFO - Epoch(train) [89][1040/3757] lr: 1.0000e-04 eta: 8:09:24 time: 0.6149 data_time: 0.0251 memory: 17350 grad_norm: 8.5676 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1037 loss: 1.1037 2022/07/24 19:03:40 - mmengine - INFO - Epoch(train) [89][1060/3757] lr: 1.0000e-04 eta: 8:09:11 time: 0.7134 data_time: 0.0235 memory: 17350 grad_norm: 8.7411 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8747 loss: 0.8747 2022/07/24 19:03:52 - mmengine - INFO - Epoch(train) [89][1080/3757] lr: 1.0000e-04 eta: 8:08:58 time: 0.6127 data_time: 0.0211 memory: 17350 grad_norm: 8.7126 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9191 loss: 0.9191 2022/07/24 19:04:06 - mmengine - INFO - Epoch(train) [89][1100/3757] lr: 1.0000e-04 eta: 8:08:45 time: 0.7136 data_time: 0.0823 memory: 17350 grad_norm: 8.8531 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8775 loss: 0.8775 2022/07/24 19:04:19 - mmengine - INFO - Epoch(train) [89][1120/3757] lr: 1.0000e-04 eta: 8:08:31 time: 0.6188 data_time: 0.1182 memory: 17350 grad_norm: 8.7266 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9272 loss: 0.9272 2022/07/24 19:04:34 - mmengine - INFO - Epoch(train) [89][1140/3757] lr: 1.0000e-04 eta: 8:08:18 time: 0.7417 data_time: 0.2204 memory: 17350 grad_norm: 8.7861 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9082 loss: 0.9082 2022/07/24 19:04:46 - mmengine - INFO - Epoch(train) [89][1160/3757] lr: 1.0000e-04 eta: 8:08:04 time: 0.6092 data_time: 0.1583 memory: 17350 grad_norm: 9.1135 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0832 loss: 1.0832 2022/07/24 19:05:01 - mmengine - INFO - Epoch(train) [89][1180/3757] lr: 1.0000e-04 eta: 8:07:51 time: 0.7395 data_time: 0.1939 memory: 17350 grad_norm: 9.0653 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1021 loss: 1.1021 2022/07/24 19:05:13 - mmengine - INFO - Epoch(train) [89][1200/3757] lr: 1.0000e-04 eta: 8:07:38 time: 0.6296 data_time: 0.1504 memory: 17350 grad_norm: 9.2156 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0877 loss: 1.0877 2022/07/24 19:05:28 - mmengine - INFO - Epoch(train) [89][1220/3757] lr: 1.0000e-04 eta: 8:07:25 time: 0.7158 data_time: 0.1904 memory: 17350 grad_norm: 8.7667 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9083 loss: 0.9083 2022/07/24 19:05:40 - mmengine - INFO - Epoch(train) [89][1240/3757] lr: 1.0000e-04 eta: 8:07:11 time: 0.6120 data_time: 0.1450 memory: 17350 grad_norm: 8.6453 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0306 loss: 1.0306 2022/07/24 19:05:54 - mmengine - INFO - Epoch(train) [89][1260/3757] lr: 1.0000e-04 eta: 8:06:58 time: 0.6797 data_time: 0.0537 memory: 17350 grad_norm: 8.8288 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1510 loss: 1.1510 2022/07/24 19:06:06 - mmengine - INFO - Epoch(train) [89][1280/3757] lr: 1.0000e-04 eta: 8:06:44 time: 0.6429 data_time: 0.0580 memory: 17350 grad_norm: 8.8106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9343 loss: 0.9343 2022/07/24 19:06:21 - mmengine - INFO - Epoch(train) [89][1300/3757] lr: 1.0000e-04 eta: 8:06:31 time: 0.7464 data_time: 0.1961 memory: 17350 grad_norm: 9.3131 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8993 loss: 0.8993 2022/07/24 19:06:33 - mmengine - INFO - Epoch(train) [89][1320/3757] lr: 1.0000e-04 eta: 8:06:18 time: 0.5919 data_time: 0.1311 memory: 17350 grad_norm: 8.8086 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1426 loss: 1.1426 2022/07/24 19:06:48 - mmengine - INFO - Epoch(train) [89][1340/3757] lr: 1.0000e-04 eta: 8:06:05 time: 0.7533 data_time: 0.3768 memory: 17350 grad_norm: 8.8037 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9466 loss: 0.9466 2022/07/24 19:07:01 - mmengine - INFO - Epoch(train) [89][1360/3757] lr: 1.0000e-04 eta: 8:05:51 time: 0.6091 data_time: 0.2652 memory: 17350 grad_norm: 9.1608 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9668 loss: 0.9668 2022/07/24 19:07:14 - mmengine - INFO - Epoch(train) [89][1380/3757] lr: 1.0000e-04 eta: 8:05:38 time: 0.6750 data_time: 0.2462 memory: 17350 grad_norm: 9.1122 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9958 loss: 0.9958 2022/07/24 19:07:16 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 19:07:27 - mmengine - INFO - Epoch(train) [89][1400/3757] lr: 1.0000e-04 eta: 8:05:24 time: 0.6257 data_time: 0.1678 memory: 17350 grad_norm: 8.8022 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9579 loss: 0.9579 2022/07/24 19:07:42 - mmengine - INFO - Epoch(train) [89][1420/3757] lr: 1.0000e-04 eta: 8:05:11 time: 0.7523 data_time: 0.2856 memory: 17350 grad_norm: 8.9888 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8747 loss: 0.8747 2022/07/24 19:07:54 - mmengine - INFO - Epoch(train) [89][1440/3757] lr: 1.0000e-04 eta: 8:04:58 time: 0.5970 data_time: 0.2528 memory: 17350 grad_norm: 8.7288 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8991 loss: 0.8991 2022/07/24 19:08:08 - mmengine - INFO - Epoch(train) [89][1460/3757] lr: 1.0000e-04 eta: 8:04:45 time: 0.7068 data_time: 0.3530 memory: 17350 grad_norm: 8.9099 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0388 loss: 1.0388 2022/07/24 19:08:20 - mmengine - INFO - Epoch(train) [89][1480/3757] lr: 1.0000e-04 eta: 8:04:31 time: 0.6035 data_time: 0.2594 memory: 17350 grad_norm: 8.6378 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9092 loss: 0.9092 2022/07/24 19:08:35 - mmengine - INFO - Epoch(train) [89][1500/3757] lr: 1.0000e-04 eta: 8:04:18 time: 0.7346 data_time: 0.3973 memory: 17350 grad_norm: 8.9383 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7935 loss: 0.7935 2022/07/24 19:08:47 - mmengine - INFO - Epoch(train) [89][1520/3757] lr: 1.0000e-04 eta: 8:04:04 time: 0.6096 data_time: 0.2718 memory: 17350 grad_norm: 8.9613 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0614 loss: 1.0614 2022/07/24 19:09:01 - mmengine - INFO - Epoch(train) [89][1540/3757] lr: 1.0000e-04 eta: 8:03:51 time: 0.7218 data_time: 0.3829 memory: 17350 grad_norm: 8.6664 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7522 loss: 0.7522 2022/07/24 19:09:13 - mmengine - INFO - Epoch(train) [89][1560/3757] lr: 1.0000e-04 eta: 8:03:38 time: 0.5778 data_time: 0.2398 memory: 17350 grad_norm: 8.8067 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1259 loss: 1.1259 2022/07/24 19:09:27 - mmengine - INFO - Epoch(train) [89][1580/3757] lr: 1.0000e-04 eta: 8:03:25 time: 0.7129 data_time: 0.3698 memory: 17350 grad_norm: 8.9578 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0289 loss: 1.0289 2022/07/24 19:09:39 - mmengine - INFO - Epoch(train) [89][1600/3757] lr: 1.0000e-04 eta: 8:03:11 time: 0.6125 data_time: 0.2746 memory: 17350 grad_norm: 9.0594 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7404 loss: 0.7404 2022/07/24 19:09:54 - mmengine - INFO - Epoch(train) [89][1620/3757] lr: 1.0000e-04 eta: 8:02:58 time: 0.7078 data_time: 0.3692 memory: 17350 grad_norm: 9.0576 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1102 loss: 1.1102 2022/07/24 19:10:06 - mmengine - INFO - Epoch(train) [89][1640/3757] lr: 1.0000e-04 eta: 8:02:44 time: 0.6313 data_time: 0.2913 memory: 17350 grad_norm: 8.7057 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9551 loss: 0.9551 2022/07/24 19:10:21 - mmengine - INFO - Epoch(train) [89][1660/3757] lr: 1.0000e-04 eta: 8:02:31 time: 0.7351 data_time: 0.3933 memory: 17350 grad_norm: 8.4875 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0549 loss: 1.0549 2022/07/24 19:10:33 - mmengine - INFO - Epoch(train) [89][1680/3757] lr: 1.0000e-04 eta: 8:02:18 time: 0.6061 data_time: 0.2677 memory: 17350 grad_norm: 9.0949 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0311 loss: 1.0311 2022/07/24 19:10:47 - mmengine - INFO - Epoch(train) [89][1700/3757] lr: 1.0000e-04 eta: 8:02:04 time: 0.6953 data_time: 0.3570 memory: 17350 grad_norm: 8.7864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9282 loss: 0.9282 2022/07/24 19:10:58 - mmengine - INFO - Epoch(train) [89][1720/3757] lr: 1.0000e-04 eta: 8:01:51 time: 0.5717 data_time: 0.2357 memory: 17350 grad_norm: 8.8219 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7696 loss: 0.7696 2022/07/24 19:11:13 - mmengine - INFO - Epoch(train) [89][1740/3757] lr: 1.0000e-04 eta: 8:01:38 time: 0.7056 data_time: 0.3679 memory: 17350 grad_norm: 8.8772 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0913 loss: 1.0913 2022/07/24 19:11:25 - mmengine - INFO - Epoch(train) [89][1760/3757] lr: 1.0000e-04 eta: 8:01:24 time: 0.5961 data_time: 0.2565 memory: 17350 grad_norm: 8.7323 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9287 loss: 0.9287 2022/07/24 19:11:39 - mmengine - INFO - Epoch(train) [89][1780/3757] lr: 1.0000e-04 eta: 8:01:11 time: 0.7051 data_time: 0.3250 memory: 17350 grad_norm: 8.8246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0884 loss: 1.0884 2022/07/24 19:11:51 - mmengine - INFO - Epoch(train) [89][1800/3757] lr: 1.0000e-04 eta: 8:00:57 time: 0.6051 data_time: 0.2054 memory: 17350 grad_norm: 9.0070 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7538 loss: 0.7538 2022/07/24 19:12:05 - mmengine - INFO - Epoch(train) [89][1820/3757] lr: 1.0000e-04 eta: 8:00:44 time: 0.7276 data_time: 0.2422 memory: 17350 grad_norm: 9.1919 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9423 loss: 0.9423 2022/07/24 19:12:17 - mmengine - INFO - Epoch(train) [89][1840/3757] lr: 1.0000e-04 eta: 8:00:31 time: 0.5955 data_time: 0.1214 memory: 17350 grad_norm: 8.6197 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8866 loss: 0.8866 2022/07/24 19:12:31 - mmengine - INFO - Epoch(train) [89][1860/3757] lr: 1.0000e-04 eta: 8:00:17 time: 0.6837 data_time: 0.1698 memory: 17350 grad_norm: 8.7288 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0559 loss: 1.0559 2022/07/24 19:12:45 - mmengine - INFO - Epoch(train) [89][1880/3757] lr: 1.0000e-04 eta: 8:00:04 time: 0.6808 data_time: 0.0989 memory: 17350 grad_norm: 8.5670 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8614 loss: 0.8614 2022/07/24 19:12:58 - mmengine - INFO - Epoch(train) [89][1900/3757] lr: 1.0000e-04 eta: 7:59:51 time: 0.6642 data_time: 0.0829 memory: 17350 grad_norm: 9.0982 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0292 loss: 1.0292 2022/07/24 19:13:11 - mmengine - INFO - Epoch(train) [89][1920/3757] lr: 1.0000e-04 eta: 7:59:37 time: 0.6660 data_time: 0.0225 memory: 17350 grad_norm: 8.9279 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8588 loss: 0.8588 2022/07/24 19:13:25 - mmengine - INFO - Epoch(train) [89][1940/3757] lr: 1.0000e-04 eta: 7:59:24 time: 0.6726 data_time: 0.0226 memory: 17350 grad_norm: 9.0022 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0163 loss: 1.0163 2022/07/24 19:13:38 - mmengine - INFO - Epoch(train) [89][1960/3757] lr: 1.0000e-04 eta: 7:59:11 time: 0.6651 data_time: 0.0609 memory: 17350 grad_norm: 8.8696 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9125 loss: 0.9125 2022/07/24 19:13:51 - mmengine - INFO - Epoch(train) [89][1980/3757] lr: 1.0000e-04 eta: 7:58:57 time: 0.6585 data_time: 0.0372 memory: 17350 grad_norm: 8.7124 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9324 loss: 0.9324 2022/07/24 19:14:04 - mmengine - INFO - Epoch(train) [89][2000/3757] lr: 1.0000e-04 eta: 7:58:44 time: 0.6419 data_time: 0.0672 memory: 17350 grad_norm: 9.2053 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9062 loss: 0.9062 2022/07/24 19:14:18 - mmengine - INFO - Epoch(train) [89][2020/3757] lr: 1.0000e-04 eta: 7:58:31 time: 0.7051 data_time: 0.1836 memory: 17350 grad_norm: 8.9894 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9123 loss: 0.9123 2022/07/24 19:14:31 - mmengine - INFO - Epoch(train) [89][2040/3757] lr: 1.0000e-04 eta: 7:58:17 time: 0.6395 data_time: 0.1413 memory: 17350 grad_norm: 8.9872 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0253 loss: 1.0253 2022/07/24 19:14:45 - mmengine - INFO - Epoch(train) [89][2060/3757] lr: 1.0000e-04 eta: 7:58:04 time: 0.7080 data_time: 0.1317 memory: 17350 grad_norm: 8.9004 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9832 loss: 0.9832 2022/07/24 19:14:57 - mmengine - INFO - Epoch(train) [89][2080/3757] lr: 1.0000e-04 eta: 7:57:51 time: 0.6032 data_time: 0.0542 memory: 17350 grad_norm: 8.7791 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1917 loss: 1.1917 2022/07/24 19:15:13 - mmengine - INFO - Epoch(train) [89][2100/3757] lr: 1.0000e-04 eta: 7:57:38 time: 0.7629 data_time: 0.1799 memory: 17350 grad_norm: 9.3454 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9819 loss: 0.9819 2022/07/24 19:15:24 - mmengine - INFO - Epoch(train) [89][2120/3757] lr: 1.0000e-04 eta: 7:57:24 time: 0.5880 data_time: 0.1176 memory: 17350 grad_norm: 9.0333 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9377 loss: 0.9377 2022/07/24 19:15:39 - mmengine - INFO - Epoch(train) [89][2140/3757] lr: 1.0000e-04 eta: 7:57:11 time: 0.7149 data_time: 0.1294 memory: 17350 grad_norm: 9.0204 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0225 loss: 1.0225 2022/07/24 19:15:51 - mmengine - INFO - Epoch(train) [89][2160/3757] lr: 1.0000e-04 eta: 7:56:57 time: 0.6102 data_time: 0.2000 memory: 17350 grad_norm: 9.1547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9708 loss: 0.9708 2022/07/24 19:16:04 - mmengine - INFO - Epoch(train) [89][2180/3757] lr: 1.0000e-04 eta: 7:56:44 time: 0.6614 data_time: 0.2634 memory: 17350 grad_norm: 8.8171 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8100 loss: 0.8100 2022/07/24 19:16:18 - mmengine - INFO - Epoch(train) [89][2200/3757] lr: 1.0000e-04 eta: 7:56:31 time: 0.6826 data_time: 0.3352 memory: 17350 grad_norm: 9.1122 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8982 loss: 0.8982 2022/07/24 19:16:31 - mmengine - INFO - Epoch(train) [89][2220/3757] lr: 1.0000e-04 eta: 7:56:17 time: 0.6709 data_time: 0.2971 memory: 17350 grad_norm: 9.0135 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1188 loss: 1.1188 2022/07/24 19:16:45 - mmengine - INFO - Epoch(train) [89][2240/3757] lr: 1.0000e-04 eta: 7:56:04 time: 0.6666 data_time: 0.2615 memory: 17350 grad_norm: 9.0788 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8959 loss: 0.8959 2022/07/24 19:16:58 - mmengine - INFO - Epoch(train) [89][2260/3757] lr: 1.0000e-04 eta: 7:55:51 time: 0.6517 data_time: 0.2103 memory: 17350 grad_norm: 9.2197 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9769 loss: 0.9769 2022/07/24 19:17:12 - mmengine - INFO - Epoch(train) [89][2280/3757] lr: 1.0000e-04 eta: 7:55:37 time: 0.6969 data_time: 0.1885 memory: 17350 grad_norm: 9.0443 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0633 loss: 1.0633 2022/07/24 19:17:24 - mmengine - INFO - Epoch(train) [89][2300/3757] lr: 1.0000e-04 eta: 7:55:24 time: 0.6244 data_time: 0.1475 memory: 17350 grad_norm: 9.1467 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9497 loss: 0.9497 2022/07/24 19:17:38 - mmengine - INFO - Epoch(train) [89][2320/3757] lr: 1.0000e-04 eta: 7:55:11 time: 0.6801 data_time: 0.2566 memory: 17350 grad_norm: 9.3052 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2625 loss: 1.2625 2022/07/24 19:17:51 - mmengine - INFO - Epoch(train) [89][2340/3757] lr: 1.0000e-04 eta: 7:54:57 time: 0.6526 data_time: 0.2865 memory: 17350 grad_norm: 8.8915 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8201 loss: 0.8201 2022/07/24 19:18:04 - mmengine - INFO - Epoch(train) [89][2360/3757] lr: 1.0000e-04 eta: 7:54:44 time: 0.6518 data_time: 0.2796 memory: 17350 grad_norm: 8.9344 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0281 loss: 1.0281 2022/07/24 19:18:18 - mmengine - INFO - Epoch(train) [89][2380/3757] lr: 1.0000e-04 eta: 7:54:31 time: 0.6828 data_time: 0.3158 memory: 17350 grad_norm: 8.9307 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8009 loss: 0.8009 2022/07/24 19:18:21 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 19:18:31 - mmengine - INFO - Epoch(train) [89][2400/3757] lr: 1.0000e-04 eta: 7:54:17 time: 0.6979 data_time: 0.3148 memory: 17350 grad_norm: 8.6244 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8012 loss: 0.8012 2022/07/24 19:18:44 - mmengine - INFO - Epoch(train) [89][2420/3757] lr: 1.0000e-04 eta: 7:54:04 time: 0.6215 data_time: 0.2519 memory: 17350 grad_norm: 8.9392 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0769 loss: 1.0769 2022/07/24 19:18:58 - mmengine - INFO - Epoch(train) [89][2440/3757] lr: 1.0000e-04 eta: 7:53:51 time: 0.7007 data_time: 0.3661 memory: 17350 grad_norm: 8.6430 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0609 loss: 1.0609 2022/07/24 19:19:10 - mmengine - INFO - Epoch(train) [89][2460/3757] lr: 1.0000e-04 eta: 7:53:37 time: 0.6139 data_time: 0.2839 memory: 17350 grad_norm: 9.1190 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0223 loss: 1.0223 2022/07/24 19:19:24 - mmengine - INFO - Epoch(train) [89][2480/3757] lr: 1.0000e-04 eta: 7:53:24 time: 0.7040 data_time: 0.3382 memory: 17350 grad_norm: 8.6795 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8697 loss: 0.8697 2022/07/24 19:19:37 - mmengine - INFO - Epoch(train) [89][2500/3757] lr: 1.0000e-04 eta: 7:53:11 time: 0.6345 data_time: 0.2190 memory: 17350 grad_norm: 8.8606 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1357 loss: 1.1357 2022/07/24 19:19:51 - mmengine - INFO - Epoch(train) [89][2520/3757] lr: 1.0000e-04 eta: 7:52:57 time: 0.6964 data_time: 0.2670 memory: 17350 grad_norm: 9.0180 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7925 loss: 0.7925 2022/07/24 19:20:04 - mmengine - INFO - Epoch(train) [89][2540/3757] lr: 1.0000e-04 eta: 7:52:44 time: 0.6562 data_time: 0.2529 memory: 17350 grad_norm: 8.8035 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8993 loss: 0.8993 2022/07/24 19:20:17 - mmengine - INFO - Epoch(train) [89][2560/3757] lr: 1.0000e-04 eta: 7:52:31 time: 0.6534 data_time: 0.2904 memory: 17350 grad_norm: 9.3455 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9970 loss: 0.9970 2022/07/24 19:20:31 - mmengine - INFO - Epoch(train) [89][2580/3757] lr: 1.0000e-04 eta: 7:52:17 time: 0.7091 data_time: 0.3429 memory: 17350 grad_norm: 8.5761 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0206 loss: 1.0206 2022/07/24 19:20:44 - mmengine - INFO - Epoch(train) [89][2600/3757] lr: 1.0000e-04 eta: 7:52:04 time: 0.6057 data_time: 0.2419 memory: 17350 grad_norm: 8.9695 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9216 loss: 0.9216 2022/07/24 19:20:58 - mmengine - INFO - Epoch(train) [89][2620/3757] lr: 1.0000e-04 eta: 7:51:51 time: 0.7253 data_time: 0.3916 memory: 17350 grad_norm: 8.8999 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0622 loss: 1.0622 2022/07/24 19:21:11 - mmengine - INFO - Epoch(train) [89][2640/3757] lr: 1.0000e-04 eta: 7:51:37 time: 0.6439 data_time: 0.3090 memory: 17350 grad_norm: 8.6552 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9863 loss: 0.9863 2022/07/24 19:21:24 - mmengine - INFO - Epoch(train) [89][2660/3757] lr: 1.0000e-04 eta: 7:51:24 time: 0.6665 data_time: 0.3372 memory: 17350 grad_norm: 8.8985 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9120 loss: 0.9120 2022/07/24 19:21:37 - mmengine - INFO - Epoch(train) [89][2680/3757] lr: 1.0000e-04 eta: 7:51:11 time: 0.6327 data_time: 0.3013 memory: 17350 grad_norm: 8.6013 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7882 loss: 0.7882 2022/07/24 19:21:52 - mmengine - INFO - Epoch(train) [89][2700/3757] lr: 1.0000e-04 eta: 7:50:57 time: 0.7422 data_time: 0.4003 memory: 17350 grad_norm: 9.0327 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0405 loss: 1.0405 2022/07/24 19:22:04 - mmengine - INFO - Epoch(train) [89][2720/3757] lr: 1.0000e-04 eta: 7:50:44 time: 0.6045 data_time: 0.2406 memory: 17350 grad_norm: 8.9546 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9412 loss: 0.9412 2022/07/24 19:22:18 - mmengine - INFO - Epoch(train) [89][2740/3757] lr: 1.0000e-04 eta: 7:50:31 time: 0.6791 data_time: 0.2116 memory: 17350 grad_norm: 8.8811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1782 loss: 1.1782 2022/07/24 19:22:30 - mmengine - INFO - Epoch(train) [89][2760/3757] lr: 1.0000e-04 eta: 7:50:17 time: 0.6198 data_time: 0.2122 memory: 17350 grad_norm: 9.1663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2656 loss: 1.2656 2022/07/24 19:22:44 - mmengine - INFO - Epoch(train) [89][2780/3757] lr: 1.0000e-04 eta: 7:50:04 time: 0.7077 data_time: 0.2429 memory: 17350 grad_norm: 8.6500 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9312 loss: 0.9312 2022/07/24 19:22:58 - mmengine - INFO - Epoch(train) [89][2800/3757] lr: 1.0000e-04 eta: 7:49:51 time: 0.6841 data_time: 0.2639 memory: 17350 grad_norm: 8.6545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7541 loss: 0.7541 2022/07/24 19:23:11 - mmengine - INFO - Epoch(train) [89][2820/3757] lr: 1.0000e-04 eta: 7:49:37 time: 0.6428 data_time: 0.1622 memory: 17350 grad_norm: 9.4787 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1745 loss: 1.1745 2022/07/24 19:23:23 - mmengine - INFO - Epoch(train) [89][2840/3757] lr: 1.0000e-04 eta: 7:49:24 time: 0.6330 data_time: 0.1033 memory: 17350 grad_norm: 8.9237 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1372 loss: 1.1372 2022/07/24 19:23:38 - mmengine - INFO - Epoch(train) [89][2860/3757] lr: 1.0000e-04 eta: 7:49:11 time: 0.7073 data_time: 0.1210 memory: 17350 grad_norm: 9.2920 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1934 loss: 1.1934 2022/07/24 19:23:50 - mmengine - INFO - Epoch(train) [89][2880/3757] lr: 1.0000e-04 eta: 7:48:57 time: 0.6332 data_time: 0.1195 memory: 17350 grad_norm: 9.3984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2842 loss: 1.2842 2022/07/24 19:24:04 - mmengine - INFO - Epoch(train) [89][2900/3757] lr: 1.0000e-04 eta: 7:48:44 time: 0.6995 data_time: 0.1932 memory: 17350 grad_norm: 9.0151 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9966 loss: 0.9966 2022/07/24 19:24:17 - mmengine - INFO - Epoch(train) [89][2920/3757] lr: 1.0000e-04 eta: 7:48:30 time: 0.6194 data_time: 0.1563 memory: 17350 grad_norm: 8.9244 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0955 loss: 1.0955 2022/07/24 19:24:31 - mmengine - INFO - Epoch(train) [89][2940/3757] lr: 1.0000e-04 eta: 7:48:17 time: 0.6897 data_time: 0.1055 memory: 17350 grad_norm: 8.8356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7776 loss: 0.7776 2022/07/24 19:24:44 - mmengine - INFO - Epoch(train) [89][2960/3757] lr: 1.0000e-04 eta: 7:48:04 time: 0.6655 data_time: 0.0337 memory: 17350 grad_norm: 9.0399 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9726 loss: 0.9726 2022/07/24 19:24:56 - mmengine - INFO - Epoch(train) [89][2980/3757] lr: 1.0000e-04 eta: 7:47:50 time: 0.6153 data_time: 0.0386 memory: 17350 grad_norm: 8.8202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7901 loss: 0.7901 2022/07/24 19:25:10 - mmengine - INFO - Epoch(train) [89][3000/3757] lr: 1.0000e-04 eta: 7:47:37 time: 0.7122 data_time: 0.1601 memory: 17350 grad_norm: 8.9647 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0108 loss: 1.0108 2022/07/24 19:25:24 - mmengine - INFO - Epoch(train) [89][3020/3757] lr: 1.0000e-04 eta: 7:47:24 time: 0.6649 data_time: 0.1203 memory: 17350 grad_norm: 8.7740 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0470 loss: 1.0470 2022/07/24 19:25:37 - mmengine - INFO - Epoch(train) [89][3040/3757] lr: 1.0000e-04 eta: 7:47:10 time: 0.6598 data_time: 0.1286 memory: 17350 grad_norm: 8.6627 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0339 loss: 1.0339 2022/07/24 19:25:50 - mmengine - INFO - Epoch(train) [89][3060/3757] lr: 1.0000e-04 eta: 7:46:57 time: 0.6398 data_time: 0.0564 memory: 17350 grad_norm: 8.4044 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1076 loss: 1.1076 2022/07/24 19:26:05 - mmengine - INFO - Epoch(train) [89][3080/3757] lr: 1.0000e-04 eta: 7:46:44 time: 0.7396 data_time: 0.0428 memory: 17350 grad_norm: 9.2042 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0351 loss: 1.0351 2022/07/24 19:26:16 - mmengine - INFO - Epoch(train) [89][3100/3757] lr: 1.0000e-04 eta: 7:46:30 time: 0.5926 data_time: 0.0384 memory: 17350 grad_norm: 8.9695 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9536 loss: 0.9536 2022/07/24 19:26:31 - mmengine - INFO - Epoch(train) [89][3120/3757] lr: 1.0000e-04 eta: 7:46:17 time: 0.7109 data_time: 0.0216 memory: 17350 grad_norm: 8.5715 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9699 loss: 0.9699 2022/07/24 19:26:43 - mmengine - INFO - Epoch(train) [89][3140/3757] lr: 1.0000e-04 eta: 7:46:04 time: 0.6006 data_time: 0.0618 memory: 17350 grad_norm: 8.6206 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8999 loss: 0.8999 2022/07/24 19:26:57 - mmengine - INFO - Epoch(train) [89][3160/3757] lr: 1.0000e-04 eta: 7:45:50 time: 0.7046 data_time: 0.1248 memory: 17350 grad_norm: 8.6743 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9555 loss: 0.9555 2022/07/24 19:27:09 - mmengine - INFO - Epoch(train) [89][3180/3757] lr: 1.0000e-04 eta: 7:45:37 time: 0.6213 data_time: 0.0564 memory: 17350 grad_norm: 8.7926 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9139 loss: 0.9139 2022/07/24 19:27:24 - mmengine - INFO - Epoch(train) [89][3200/3757] lr: 1.0000e-04 eta: 7:45:24 time: 0.7156 data_time: 0.0249 memory: 17350 grad_norm: 8.9855 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7771 loss: 0.7771 2022/07/24 19:27:36 - mmengine - INFO - Epoch(train) [89][3220/3757] lr: 1.0000e-04 eta: 7:45:10 time: 0.6029 data_time: 0.0336 memory: 17350 grad_norm: 9.1473 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2269 loss: 1.2269 2022/07/24 19:27:50 - mmengine - INFO - Epoch(train) [89][3240/3757] lr: 1.0000e-04 eta: 7:44:57 time: 0.7047 data_time: 0.0889 memory: 17350 grad_norm: 9.2661 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0219 loss: 1.0219 2022/07/24 19:28:02 - mmengine - INFO - Epoch(train) [89][3260/3757] lr: 1.0000e-04 eta: 7:44:44 time: 0.5989 data_time: 0.0925 memory: 17350 grad_norm: 8.9473 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0085 loss: 1.0085 2022/07/24 19:28:16 - mmengine - INFO - Epoch(train) [89][3280/3757] lr: 1.0000e-04 eta: 7:44:30 time: 0.7313 data_time: 0.0703 memory: 17350 grad_norm: 8.8173 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9904 loss: 0.9904 2022/07/24 19:28:29 - mmengine - INFO - Epoch(train) [89][3300/3757] lr: 1.0000e-04 eta: 7:44:17 time: 0.6022 data_time: 0.1446 memory: 17350 grad_norm: 8.7984 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9859 loss: 0.9859 2022/07/24 19:28:42 - mmengine - INFO - Epoch(train) [89][3320/3757] lr: 1.0000e-04 eta: 7:44:04 time: 0.6795 data_time: 0.2531 memory: 17350 grad_norm: 9.1888 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0682 loss: 1.0682 2022/07/24 19:28:55 - mmengine - INFO - Epoch(train) [89][3340/3757] lr: 1.0000e-04 eta: 7:43:50 time: 0.6177 data_time: 0.2368 memory: 17350 grad_norm: 9.1732 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3077 loss: 1.3077 2022/07/24 19:29:09 - mmengine - INFO - Epoch(train) [89][3360/3757] lr: 1.0000e-04 eta: 7:43:37 time: 0.7440 data_time: 0.3283 memory: 17350 grad_norm: 8.5239 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8507 loss: 0.8507 2022/07/24 19:29:21 - mmengine - INFO - Epoch(train) [89][3380/3757] lr: 1.0000e-04 eta: 7:43:23 time: 0.5923 data_time: 0.2270 memory: 17350 grad_norm: 9.2613 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0118 loss: 1.0118 2022/07/24 19:29:25 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 19:29:36 - mmengine - INFO - Epoch(train) [89][3400/3757] lr: 1.0000e-04 eta: 7:43:10 time: 0.7388 data_time: 0.3126 memory: 17350 grad_norm: 8.8151 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0669 loss: 1.0669 2022/07/24 19:29:48 - mmengine - INFO - Epoch(train) [89][3420/3757] lr: 1.0000e-04 eta: 7:42:57 time: 0.6172 data_time: 0.1415 memory: 17350 grad_norm: 8.8268 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8863 loss: 0.8863 2022/07/24 19:30:03 - mmengine - INFO - Epoch(train) [89][3440/3757] lr: 1.0000e-04 eta: 7:42:44 time: 0.7113 data_time: 0.1028 memory: 17350 grad_norm: 8.7699 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9348 loss: 0.9348 2022/07/24 19:30:16 - mmengine - INFO - Epoch(train) [89][3460/3757] lr: 1.0000e-04 eta: 7:42:30 time: 0.6578 data_time: 0.1010 memory: 17350 grad_norm: 8.9258 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2836 loss: 1.2836 2022/07/24 19:30:31 - mmengine - INFO - Epoch(train) [89][3480/3757] lr: 1.0000e-04 eta: 7:42:17 time: 0.7320 data_time: 0.0517 memory: 17350 grad_norm: 8.6565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1577 loss: 1.1577 2022/07/24 19:30:42 - mmengine - INFO - Epoch(train) [89][3500/3757] lr: 1.0000e-04 eta: 7:42:03 time: 0.5612 data_time: 0.0284 memory: 17350 grad_norm: 9.0834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8183 loss: 0.8183 2022/07/24 19:30:57 - mmengine - INFO - Epoch(train) [89][3520/3757] lr: 1.0000e-04 eta: 7:41:50 time: 0.7392 data_time: 0.0703 memory: 17350 grad_norm: 8.4445 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8237 loss: 0.8237 2022/07/24 19:31:09 - mmengine - INFO - Epoch(train) [89][3540/3757] lr: 1.0000e-04 eta: 7:41:37 time: 0.6298 data_time: 0.0401 memory: 17350 grad_norm: 9.1911 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9260 loss: 0.9260 2022/07/24 19:31:23 - mmengine - INFO - Epoch(train) [89][3560/3757] lr: 1.0000e-04 eta: 7:41:24 time: 0.6858 data_time: 0.0215 memory: 17350 grad_norm: 9.1649 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0218 loss: 1.0218 2022/07/24 19:31:36 - mmengine - INFO - Epoch(train) [89][3580/3757] lr: 1.0000e-04 eta: 7:41:10 time: 0.6416 data_time: 0.0231 memory: 17350 grad_norm: 8.9160 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0222 loss: 1.0222 2022/07/24 19:31:50 - mmengine - INFO - Epoch(train) [89][3600/3757] lr: 1.0000e-04 eta: 7:40:57 time: 0.7140 data_time: 0.0221 memory: 17350 grad_norm: 8.6960 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9621 loss: 0.9621 2022/07/24 19:32:02 - mmengine - INFO - Epoch(train) [89][3620/3757] lr: 1.0000e-04 eta: 7:40:43 time: 0.5747 data_time: 0.0241 memory: 17350 grad_norm: 9.0438 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8552 loss: 0.8552 2022/07/24 19:32:16 - mmengine - INFO - Epoch(train) [89][3640/3757] lr: 1.0000e-04 eta: 7:40:30 time: 0.7375 data_time: 0.0244 memory: 17350 grad_norm: 8.5449 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7530 loss: 0.7530 2022/07/24 19:32:28 - mmengine - INFO - Epoch(train) [89][3660/3757] lr: 1.0000e-04 eta: 7:40:17 time: 0.5806 data_time: 0.0231 memory: 17350 grad_norm: 8.9391 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9652 loss: 0.9652 2022/07/24 19:32:43 - mmengine - INFO - Epoch(train) [89][3680/3757] lr: 1.0000e-04 eta: 7:40:04 time: 0.7474 data_time: 0.0218 memory: 17350 grad_norm: 8.7618 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9310 loss: 0.9310 2022/07/24 19:32:54 - mmengine - INFO - Epoch(train) [89][3700/3757] lr: 1.0000e-04 eta: 7:39:50 time: 0.5617 data_time: 0.0240 memory: 17350 grad_norm: 8.5891 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9123 loss: 0.9123 2022/07/24 19:33:08 - mmengine - INFO - Epoch(train) [89][3720/3757] lr: 1.0000e-04 eta: 7:39:37 time: 0.7071 data_time: 0.0216 memory: 17350 grad_norm: 9.0515 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9370 loss: 0.9370 2022/07/24 19:33:20 - mmengine - INFO - Epoch(train) [89][3740/3757] lr: 1.0000e-04 eta: 7:39:23 time: 0.5993 data_time: 0.0250 memory: 17350 grad_norm: 9.2753 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1207 loss: 1.1207 2022/07/24 19:33:30 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 19:33:30 - mmengine - INFO - Epoch(train) [89][3757/3757] lr: 1.0000e-04 eta: 7:39:23 time: 0.5120 data_time: 0.0224 memory: 17350 grad_norm: 9.0603 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9167 loss: 0.9167 2022/07/24 19:33:46 - mmengine - INFO - Epoch(val) [89][20/310] eta: 0:03:57 time: 0.8180 data_time: 0.7041 memory: 3406 2022/07/24 19:33:57 - mmengine - INFO - Epoch(val) [89][40/310] eta: 0:02:32 time: 0.5630 data_time: 0.4480 memory: 3406 2022/07/24 19:34:13 - mmengine - INFO - Epoch(val) [89][60/310] eta: 0:03:12 time: 0.7703 data_time: 0.6534 memory: 3406 2022/07/24 19:34:24 - mmengine - INFO - Epoch(val) [89][80/310] eta: 0:02:08 time: 0.5571 data_time: 0.4450 memory: 3406 2022/07/24 19:34:39 - mmengine - INFO - Epoch(val) [89][100/310] eta: 0:02:35 time: 0.7426 data_time: 0.6271 memory: 3406 2022/07/24 19:34:50 - mmengine - INFO - Epoch(val) [89][120/310] eta: 0:01:44 time: 0.5509 data_time: 0.4369 memory: 3406 2022/07/24 19:35:06 - mmengine - INFO - Epoch(val) [89][140/310] eta: 0:02:19 time: 0.8204 data_time: 0.7063 memory: 3406 2022/07/24 19:35:17 - mmengine - INFO - Epoch(val) [89][160/310] eta: 0:01:23 time: 0.5570 data_time: 0.4436 memory: 3406 2022/07/24 19:35:33 - mmengine - INFO - Epoch(val) [89][180/310] eta: 0:01:41 time: 0.7818 data_time: 0.6673 memory: 3406 2022/07/24 19:35:44 - mmengine - INFO - Epoch(val) [89][200/310] eta: 0:00:59 time: 0.5449 data_time: 0.4298 memory: 3406 2022/07/24 19:36:01 - mmengine - INFO - Epoch(val) [89][220/310] eta: 0:01:15 time: 0.8371 data_time: 0.7142 memory: 3406 2022/07/24 19:36:11 - mmengine - INFO - Epoch(val) [89][240/310] eta: 0:00:35 time: 0.5134 data_time: 0.4007 memory: 3406 2022/07/24 19:36:25 - mmengine - INFO - Epoch(val) [89][260/310] eta: 0:00:36 time: 0.7317 data_time: 0.6173 memory: 3406 2022/07/24 19:36:37 - mmengine - INFO - Epoch(val) [89][280/310] eta: 0:00:16 time: 0.5624 data_time: 0.4500 memory: 3406 2022/07/24 19:36:51 - mmengine - INFO - Epoch(val) [89][300/310] eta: 0:00:07 time: 0.7357 data_time: 0.6214 memory: 3406 2022/07/24 19:36:56 - mmengine - INFO - Epoch(val) [89][310/310] acc/top1: 0.6912 acc/top5: 0.8785 acc/mean1: 0.6911 2022/07/24 19:36:56 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_86.pth is removed 2022/07/24 19:36:58 - mmengine - INFO - The best checkpoint with 0.6912 acc/top1 at 90 epoch is saved to best_acc/top1_epoch_90.pth. 2022/07/24 19:37:16 - mmengine - INFO - Epoch(train) [90][20/3757] lr: 1.0000e-04 eta: 7:38:58 time: 0.8568 data_time: 0.5282 memory: 17350 grad_norm: 9.3176 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2752 loss: 1.2752 2022/07/24 19:37:28 - mmengine - INFO - Epoch(train) [90][40/3757] lr: 1.0000e-04 eta: 7:38:44 time: 0.6338 data_time: 0.3053 memory: 17350 grad_norm: 8.6122 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9418 loss: 0.9418 2022/07/24 19:37:42 - mmengine - INFO - Epoch(train) [90][60/3757] lr: 1.0000e-04 eta: 7:38:31 time: 0.6959 data_time: 0.3704 memory: 17350 grad_norm: 8.7955 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8365 loss: 0.8365 2022/07/24 19:37:55 - mmengine - INFO - Epoch(train) [90][80/3757] lr: 1.0000e-04 eta: 7:38:18 time: 0.6197 data_time: 0.2762 memory: 17350 grad_norm: 8.7209 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9247 loss: 0.9247 2022/07/24 19:38:09 - mmengine - INFO - Epoch(train) [90][100/3757] lr: 1.0000e-04 eta: 7:38:04 time: 0.7403 data_time: 0.4097 memory: 17350 grad_norm: 8.7209 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8969 loss: 0.8969 2022/07/24 19:38:22 - mmengine - INFO - Epoch(train) [90][120/3757] lr: 1.0000e-04 eta: 7:37:51 time: 0.6117 data_time: 0.2781 memory: 17350 grad_norm: 8.8700 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9039 loss: 0.9039 2022/07/24 19:38:36 - mmengine - INFO - Epoch(train) [90][140/3757] lr: 1.0000e-04 eta: 7:37:38 time: 0.7217 data_time: 0.3916 memory: 17350 grad_norm: 8.7885 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7472 loss: 0.7472 2022/07/24 19:38:48 - mmengine - INFO - Epoch(train) [90][160/3757] lr: 1.0000e-04 eta: 7:37:24 time: 0.5827 data_time: 0.2483 memory: 17350 grad_norm: 8.9468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9842 loss: 0.9842 2022/07/24 19:39:02 - mmengine - INFO - Epoch(train) [90][180/3757] lr: 1.0000e-04 eta: 7:37:11 time: 0.7047 data_time: 0.3680 memory: 17350 grad_norm: 8.5475 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0013 loss: 1.0013 2022/07/24 19:39:14 - mmengine - INFO - Epoch(train) [90][200/3757] lr: 1.0000e-04 eta: 7:36:58 time: 0.6171 data_time: 0.2783 memory: 17350 grad_norm: 9.1364 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1036 loss: 1.1036 2022/07/24 19:39:29 - mmengine - INFO - Epoch(train) [90][220/3757] lr: 1.0000e-04 eta: 7:36:44 time: 0.7373 data_time: 0.4087 memory: 17350 grad_norm: 8.8834 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1399 loss: 1.1399 2022/07/24 19:39:41 - mmengine - INFO - Epoch(train) [90][240/3757] lr: 1.0000e-04 eta: 7:36:31 time: 0.5849 data_time: 0.2494 memory: 17350 grad_norm: 8.7212 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1076 loss: 1.1076 2022/07/24 19:39:56 - mmengine - INFO - Epoch(train) [90][260/3757] lr: 1.0000e-04 eta: 7:36:18 time: 0.7427 data_time: 0.4161 memory: 17350 grad_norm: 8.9377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8903 loss: 0.8903 2022/07/24 19:40:08 - mmengine - INFO - Epoch(train) [90][280/3757] lr: 1.0000e-04 eta: 7:36:04 time: 0.6211 data_time: 0.2935 memory: 17350 grad_norm: 8.8951 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8573 loss: 0.8573 2022/07/24 19:40:22 - mmengine - INFO - Epoch(train) [90][300/3757] lr: 1.0000e-04 eta: 7:35:51 time: 0.7196 data_time: 0.3920 memory: 17350 grad_norm: 8.7860 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6984 loss: 0.6984 2022/07/24 19:40:35 - mmengine - INFO - Epoch(train) [90][320/3757] lr: 1.0000e-04 eta: 7:35:38 time: 0.6186 data_time: 0.2924 memory: 17350 grad_norm: 8.9536 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9615 loss: 0.9615 2022/07/24 19:40:49 - mmengine - INFO - Epoch(train) [90][340/3757] lr: 1.0000e-04 eta: 7:35:24 time: 0.7145 data_time: 0.3171 memory: 17350 grad_norm: 8.9924 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0838 loss: 1.0838 2022/07/24 19:41:02 - mmengine - INFO - Epoch(train) [90][360/3757] lr: 1.0000e-04 eta: 7:35:11 time: 0.6380 data_time: 0.2220 memory: 17350 grad_norm: 8.8051 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9223 loss: 0.9223 2022/07/24 19:41:17 - mmengine - INFO - Epoch(train) [90][380/3757] lr: 1.0000e-04 eta: 7:34:58 time: 0.7571 data_time: 0.2059 memory: 17350 grad_norm: 8.6432 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8091 loss: 0.8091 2022/07/24 19:41:29 - mmengine - INFO - Epoch(train) [90][400/3757] lr: 1.0000e-04 eta: 7:34:44 time: 0.6064 data_time: 0.0897 memory: 17350 grad_norm: 9.0814 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0280 loss: 1.0280 2022/07/24 19:41:43 - mmengine - INFO - Epoch(train) [90][420/3757] lr: 1.0000e-04 eta: 7:34:31 time: 0.6653 data_time: 0.1046 memory: 17350 grad_norm: 8.9078 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7981 loss: 0.7981 2022/07/24 19:41:55 - mmengine - INFO - Epoch(train) [90][440/3757] lr: 1.0000e-04 eta: 7:34:18 time: 0.5990 data_time: 0.1616 memory: 17350 grad_norm: 8.6122 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0067 loss: 1.0067 2022/07/24 19:42:08 - mmengine - INFO - Epoch(train) [90][460/3757] lr: 1.0000e-04 eta: 7:34:04 time: 0.6728 data_time: 0.3161 memory: 17350 grad_norm: 8.5153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9198 loss: 0.9198 2022/07/24 19:42:20 - mmengine - INFO - Epoch(train) [90][480/3757] lr: 1.0000e-04 eta: 7:33:51 time: 0.6129 data_time: 0.2779 memory: 17350 grad_norm: 9.0485 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1086 loss: 1.1086 2022/07/24 19:42:34 - mmengine - INFO - Epoch(train) [90][500/3757] lr: 1.0000e-04 eta: 7:33:38 time: 0.7066 data_time: 0.3740 memory: 17350 grad_norm: 9.0039 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0139 loss: 1.0139 2022/07/24 19:42:46 - mmengine - INFO - Epoch(train) [90][520/3757] lr: 1.0000e-04 eta: 7:33:24 time: 0.6002 data_time: 0.2638 memory: 17350 grad_norm: 8.7714 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2462 loss: 1.2462 2022/07/24 19:43:01 - mmengine - INFO - Epoch(train) [90][540/3757] lr: 1.0000e-04 eta: 7:33:11 time: 0.7446 data_time: 0.4032 memory: 17350 grad_norm: 8.6777 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9987 loss: 0.9987 2022/07/24 19:43:14 - mmengine - INFO - Epoch(train) [90][560/3757] lr: 1.0000e-04 eta: 7:32:57 time: 0.6177 data_time: 0.2470 memory: 17350 grad_norm: 8.8456 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8761 loss: 0.8761 2022/07/24 19:43:29 - mmengine - INFO - Epoch(train) [90][580/3757] lr: 1.0000e-04 eta: 7:32:44 time: 0.7398 data_time: 0.3727 memory: 17350 grad_norm: 8.7252 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8671 loss: 0.8671 2022/07/24 19:43:41 - mmengine - INFO - Epoch(train) [90][600/3757] lr: 1.0000e-04 eta: 7:32:31 time: 0.6222 data_time: 0.2722 memory: 17350 grad_norm: 9.1645 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7610 loss: 0.7610 2022/07/24 19:43:55 - mmengine - INFO - Epoch(train) [90][620/3757] lr: 1.0000e-04 eta: 7:32:18 time: 0.7057 data_time: 0.2499 memory: 17350 grad_norm: 8.7274 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8382 loss: 0.8382 2022/07/24 19:44:01 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 19:44:08 - mmengine - INFO - Epoch(train) [90][640/3757] lr: 1.0000e-04 eta: 7:32:04 time: 0.6185 data_time: 0.1687 memory: 17350 grad_norm: 9.0912 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8427 loss: 0.8427 2022/07/24 19:44:22 - mmengine - INFO - Epoch(train) [90][660/3757] lr: 1.0000e-04 eta: 7:31:51 time: 0.7113 data_time: 0.2203 memory: 17350 grad_norm: 8.3365 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9932 loss: 0.9932 2022/07/24 19:44:34 - mmengine - INFO - Epoch(train) [90][680/3757] lr: 1.0000e-04 eta: 7:31:37 time: 0.6050 data_time: 0.1052 memory: 17350 grad_norm: 8.4664 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8513 loss: 0.8513 2022/07/24 19:44:49 - mmengine - INFO - Epoch(train) [90][700/3757] lr: 1.0000e-04 eta: 7:31:24 time: 0.7317 data_time: 0.1573 memory: 17350 grad_norm: 9.1133 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0354 loss: 1.0354 2022/07/24 19:45:01 - mmengine - INFO - Epoch(train) [90][720/3757] lr: 1.0000e-04 eta: 7:31:11 time: 0.6277 data_time: 0.1039 memory: 17350 grad_norm: 9.0835 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1415 loss: 1.1415 2022/07/24 19:45:16 - mmengine - INFO - Epoch(train) [90][740/3757] lr: 1.0000e-04 eta: 7:30:58 time: 0.7272 data_time: 0.0859 memory: 17350 grad_norm: 9.1986 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9031 loss: 0.9031 2022/07/24 19:45:28 - mmengine - INFO - Epoch(train) [90][760/3757] lr: 1.0000e-04 eta: 7:30:44 time: 0.6197 data_time: 0.0273 memory: 17350 grad_norm: 8.9760 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0233 loss: 1.0233 2022/07/24 19:45:43 - mmengine - INFO - Epoch(train) [90][780/3757] lr: 1.0000e-04 eta: 7:30:31 time: 0.7364 data_time: 0.0217 memory: 17350 grad_norm: 9.2778 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1405 loss: 1.1405 2022/07/24 19:45:55 - mmengine - INFO - Epoch(train) [90][800/3757] lr: 1.0000e-04 eta: 7:30:17 time: 0.5821 data_time: 0.0357 memory: 17350 grad_norm: 8.9151 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1898 loss: 1.1898 2022/07/24 19:46:09 - mmengine - INFO - Epoch(train) [90][820/3757] lr: 1.0000e-04 eta: 7:30:04 time: 0.7321 data_time: 0.0258 memory: 17350 grad_norm: 8.6694 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0730 loss: 1.0730 2022/07/24 19:46:21 - mmengine - INFO - Epoch(train) [90][840/3757] lr: 1.0000e-04 eta: 7:29:51 time: 0.5870 data_time: 0.0220 memory: 17350 grad_norm: 8.8754 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9703 loss: 0.9703 2022/07/24 19:46:35 - mmengine - INFO - Epoch(train) [90][860/3757] lr: 1.0000e-04 eta: 7:29:38 time: 0.7176 data_time: 0.0241 memory: 17350 grad_norm: 8.9373 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0923 loss: 1.0923 2022/07/24 19:46:48 - mmengine - INFO - Epoch(train) [90][880/3757] lr: 1.0000e-04 eta: 7:29:24 time: 0.6146 data_time: 0.0223 memory: 17350 grad_norm: 8.9148 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8337 loss: 0.8337 2022/07/24 19:47:03 - mmengine - INFO - Epoch(train) [90][900/3757] lr: 1.0000e-04 eta: 7:29:11 time: 0.7434 data_time: 0.0220 memory: 17350 grad_norm: 9.0432 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9012 loss: 0.9012 2022/07/24 19:47:14 - mmengine - INFO - Epoch(train) [90][920/3757] lr: 1.0000e-04 eta: 7:28:57 time: 0.5835 data_time: 0.0239 memory: 17350 grad_norm: 8.7331 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8691 loss: 0.8691 2022/07/24 19:47:29 - mmengine - INFO - Epoch(train) [90][940/3757] lr: 1.0000e-04 eta: 7:28:44 time: 0.7146 data_time: 0.0221 memory: 17350 grad_norm: 8.7555 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0562 loss: 1.0562 2022/07/24 19:47:41 - mmengine - INFO - Epoch(train) [90][960/3757] lr: 1.0000e-04 eta: 7:28:31 time: 0.6026 data_time: 0.0239 memory: 17350 grad_norm: 8.8582 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8882 loss: 0.8882 2022/07/24 19:47:56 - mmengine - INFO - Epoch(train) [90][980/3757] lr: 1.0000e-04 eta: 7:28:18 time: 0.7568 data_time: 0.0300 memory: 17350 grad_norm: 9.0395 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9479 loss: 0.9479 2022/07/24 19:48:07 - mmengine - INFO - Epoch(train) [90][1000/3757] lr: 1.0000e-04 eta: 7:28:04 time: 0.5794 data_time: 0.0242 memory: 17350 grad_norm: 9.1067 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9586 loss: 0.9586 2022/07/24 19:48:23 - mmengine - INFO - Epoch(train) [90][1020/3757] lr: 1.0000e-04 eta: 7:27:51 time: 0.7661 data_time: 0.0236 memory: 17350 grad_norm: 8.6767 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0476 loss: 1.0476 2022/07/24 19:48:34 - mmengine - INFO - Epoch(train) [90][1040/3757] lr: 1.0000e-04 eta: 7:27:37 time: 0.5805 data_time: 0.0228 memory: 17350 grad_norm: 8.8109 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0476 loss: 1.0476 2022/07/24 19:48:49 - mmengine - INFO - Epoch(train) [90][1060/3757] lr: 1.0000e-04 eta: 7:27:24 time: 0.7493 data_time: 0.0221 memory: 17350 grad_norm: 9.0744 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.7837 loss: 0.7837 2022/07/24 19:49:01 - mmengine - INFO - Epoch(train) [90][1080/3757] lr: 1.0000e-04 eta: 7:27:11 time: 0.5927 data_time: 0.0219 memory: 17350 grad_norm: 9.0453 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1015 loss: 1.1015 2022/07/24 19:49:16 - mmengine - INFO - Epoch(train) [90][1100/3757] lr: 1.0000e-04 eta: 7:26:58 time: 0.7227 data_time: 0.0359 memory: 17350 grad_norm: 8.9619 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0782 loss: 1.0782 2022/07/24 19:49:27 - mmengine - INFO - Epoch(train) [90][1120/3757] lr: 1.0000e-04 eta: 7:26:44 time: 0.5636 data_time: 0.0229 memory: 17350 grad_norm: 9.1789 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1066 loss: 1.1066 2022/07/24 19:49:42 - mmengine - INFO - Epoch(train) [90][1140/3757] lr: 1.0000e-04 eta: 7:26:31 time: 0.7287 data_time: 0.0213 memory: 17350 grad_norm: 8.6809 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0088 loss: 1.0088 2022/07/24 19:49:55 - mmengine - INFO - Epoch(train) [90][1160/3757] lr: 1.0000e-04 eta: 7:26:17 time: 0.6470 data_time: 0.0237 memory: 17350 grad_norm: 8.6380 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0507 loss: 1.0507 2022/07/24 19:50:09 - mmengine - INFO - Epoch(train) [90][1180/3757] lr: 1.0000e-04 eta: 7:26:04 time: 0.7419 data_time: 0.0249 memory: 17350 grad_norm: 8.9821 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8821 loss: 0.8821 2022/07/24 19:50:21 - mmengine - INFO - Epoch(train) [90][1200/3757] lr: 1.0000e-04 eta: 7:25:51 time: 0.5652 data_time: 0.0229 memory: 17350 grad_norm: 9.2441 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0055 loss: 1.0055 2022/07/24 19:50:36 - mmengine - INFO - Epoch(train) [90][1220/3757] lr: 1.0000e-04 eta: 7:25:38 time: 0.7441 data_time: 0.0224 memory: 17350 grad_norm: 8.7021 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9019 loss: 0.9019 2022/07/24 19:50:48 - mmengine - INFO - Epoch(train) [90][1240/3757] lr: 1.0000e-04 eta: 7:25:24 time: 0.6360 data_time: 0.0233 memory: 17350 grad_norm: 9.0392 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2378 loss: 1.2378 2022/07/24 19:51:02 - mmengine - INFO - Epoch(train) [90][1260/3757] lr: 1.0000e-04 eta: 7:25:11 time: 0.7043 data_time: 0.0187 memory: 17350 grad_norm: 8.9780 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9923 loss: 0.9923 2022/07/24 19:51:14 - mmengine - INFO - Epoch(train) [90][1280/3757] lr: 1.0000e-04 eta: 7:24:57 time: 0.5855 data_time: 0.0227 memory: 17350 grad_norm: 8.6321 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0073 loss: 1.0073 2022/07/24 19:51:28 - mmengine - INFO - Epoch(train) [90][1300/3757] lr: 1.0000e-04 eta: 7:24:44 time: 0.7040 data_time: 0.0227 memory: 17350 grad_norm: 9.2378 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2360 loss: 1.2360 2022/07/24 19:51:41 - mmengine - INFO - Epoch(train) [90][1320/3757] lr: 1.0000e-04 eta: 7:24:31 time: 0.6237 data_time: 0.0209 memory: 17350 grad_norm: 8.8036 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8858 loss: 0.8858 2022/07/24 19:51:56 - mmengine - INFO - Epoch(train) [90][1340/3757] lr: 1.0000e-04 eta: 7:24:18 time: 0.7533 data_time: 0.0221 memory: 17350 grad_norm: 8.9925 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0936 loss: 1.0936 2022/07/24 19:52:08 - mmengine - INFO - Epoch(train) [90][1360/3757] lr: 1.0000e-04 eta: 7:24:04 time: 0.5830 data_time: 0.0274 memory: 17350 grad_norm: 8.8573 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8207 loss: 0.8207 2022/07/24 19:52:22 - mmengine - INFO - Epoch(train) [90][1380/3757] lr: 1.0000e-04 eta: 7:23:51 time: 0.7399 data_time: 0.0211 memory: 17350 grad_norm: 9.0641 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0453 loss: 1.0453 2022/07/24 19:52:35 - mmengine - INFO - Epoch(train) [90][1400/3757] lr: 1.0000e-04 eta: 7:23:37 time: 0.6147 data_time: 0.0225 memory: 17350 grad_norm: 8.8824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2888 loss: 1.2888 2022/07/24 19:52:49 - mmengine - INFO - Epoch(train) [90][1420/3757] lr: 1.0000e-04 eta: 7:23:24 time: 0.6933 data_time: 0.0240 memory: 17350 grad_norm: 8.6898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9722 loss: 0.9722 2022/07/24 19:53:01 - mmengine - INFO - Epoch(train) [90][1440/3757] lr: 1.0000e-04 eta: 7:23:11 time: 0.6099 data_time: 0.0246 memory: 17350 grad_norm: 8.3145 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9897 loss: 0.9897 2022/07/24 19:53:15 - mmengine - INFO - Epoch(train) [90][1460/3757] lr: 1.0000e-04 eta: 7:22:57 time: 0.7197 data_time: 0.0217 memory: 17350 grad_norm: 9.1431 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0935 loss: 1.0935 2022/07/24 19:53:26 - mmengine - INFO - Epoch(train) [90][1480/3757] lr: 1.0000e-04 eta: 7:22:44 time: 0.5419 data_time: 0.0346 memory: 17350 grad_norm: 8.7225 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0401 loss: 1.0401 2022/07/24 19:53:40 - mmengine - INFO - Epoch(train) [90][1500/3757] lr: 1.0000e-04 eta: 7:22:31 time: 0.6784 data_time: 0.0236 memory: 17350 grad_norm: 8.9737 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0690 loss: 1.0690 2022/07/24 19:53:52 - mmengine - INFO - Epoch(train) [90][1520/3757] lr: 1.0000e-04 eta: 7:22:17 time: 0.6236 data_time: 0.0236 memory: 17350 grad_norm: 9.1179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7992 loss: 0.7992 2022/07/24 19:54:07 - mmengine - INFO - Epoch(train) [90][1540/3757] lr: 1.0000e-04 eta: 7:22:04 time: 0.7498 data_time: 0.0263 memory: 17350 grad_norm: 9.1847 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0532 loss: 1.0532 2022/07/24 19:54:19 - mmengine - INFO - Epoch(train) [90][1560/3757] lr: 1.0000e-04 eta: 7:21:50 time: 0.5807 data_time: 0.0253 memory: 17350 grad_norm: 8.8779 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9453 loss: 0.9453 2022/07/24 19:54:34 - mmengine - INFO - Epoch(train) [90][1580/3757] lr: 1.0000e-04 eta: 7:21:37 time: 0.7368 data_time: 0.0211 memory: 17350 grad_norm: 8.8626 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9723 loss: 0.9723 2022/07/24 19:54:45 - mmengine - INFO - Epoch(train) [90][1600/3757] lr: 1.0000e-04 eta: 7:21:24 time: 0.5742 data_time: 0.0268 memory: 17350 grad_norm: 8.8234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0503 loss: 1.0503 2022/07/24 19:55:00 - mmengine - INFO - Epoch(train) [90][1620/3757] lr: 1.0000e-04 eta: 7:21:11 time: 0.7300 data_time: 0.0222 memory: 17350 grad_norm: 9.1008 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9155 loss: 0.9155 2022/07/24 19:55:05 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 19:55:12 - mmengine - INFO - Epoch(train) [90][1640/3757] lr: 1.0000e-04 eta: 7:20:57 time: 0.6221 data_time: 0.0234 memory: 17350 grad_norm: 8.8888 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8021 loss: 0.8021 2022/07/24 19:55:27 - mmengine - INFO - Epoch(train) [90][1660/3757] lr: 1.0000e-04 eta: 7:20:44 time: 0.7274 data_time: 0.0270 memory: 17350 grad_norm: 8.5456 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9073 loss: 0.9073 2022/07/24 19:55:38 - mmengine - INFO - Epoch(train) [90][1680/3757] lr: 1.0000e-04 eta: 7:20:30 time: 0.5835 data_time: 0.0256 memory: 17350 grad_norm: 9.0963 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2365 loss: 1.2365 2022/07/24 19:55:53 - mmengine - INFO - Epoch(train) [90][1700/3757] lr: 1.0000e-04 eta: 7:20:17 time: 0.7370 data_time: 0.0222 memory: 17350 grad_norm: 8.8322 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8890 loss: 0.8890 2022/07/24 19:56:06 - mmengine - INFO - Epoch(train) [90][1720/3757] lr: 1.0000e-04 eta: 7:20:04 time: 0.6519 data_time: 0.0215 memory: 17350 grad_norm: 8.9796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0028 loss: 1.0028 2022/07/24 19:56:21 - mmengine - INFO - Epoch(train) [90][1740/3757] lr: 1.0000e-04 eta: 7:19:51 time: 0.7145 data_time: 0.0224 memory: 17350 grad_norm: 8.9354 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8979 loss: 0.8979 2022/07/24 19:56:32 - mmengine - INFO - Epoch(train) [90][1760/3757] lr: 1.0000e-04 eta: 7:19:37 time: 0.5732 data_time: 0.0229 memory: 17350 grad_norm: 9.2982 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0958 loss: 1.0958 2022/07/24 19:56:47 - mmengine - INFO - Epoch(train) [90][1780/3757] lr: 1.0000e-04 eta: 7:19:24 time: 0.7330 data_time: 0.0233 memory: 17350 grad_norm: 8.8052 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0572 loss: 1.0572 2022/07/24 19:56:59 - mmengine - INFO - Epoch(train) [90][1800/3757] lr: 1.0000e-04 eta: 7:19:10 time: 0.5941 data_time: 0.0220 memory: 17350 grad_norm: 8.9845 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7969 loss: 0.7969 2022/07/24 19:57:13 - mmengine - INFO - Epoch(train) [90][1820/3757] lr: 1.0000e-04 eta: 7:18:57 time: 0.6954 data_time: 0.0250 memory: 17350 grad_norm: 8.7861 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9310 loss: 0.9310 2022/07/24 19:57:25 - mmengine - INFO - Epoch(train) [90][1840/3757] lr: 1.0000e-04 eta: 7:18:44 time: 0.5994 data_time: 0.0234 memory: 17350 grad_norm: 8.9149 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8961 loss: 0.8961 2022/07/24 19:57:39 - mmengine - INFO - Epoch(train) [90][1860/3757] lr: 1.0000e-04 eta: 7:18:30 time: 0.7167 data_time: 0.0227 memory: 17350 grad_norm: 9.3150 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9363 loss: 0.9363 2022/07/24 19:57:51 - mmengine - INFO - Epoch(train) [90][1880/3757] lr: 1.0000e-04 eta: 7:18:17 time: 0.5845 data_time: 0.0247 memory: 17350 grad_norm: 8.9921 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9138 loss: 0.9138 2022/07/24 19:58:05 - mmengine - INFO - Epoch(train) [90][1900/3757] lr: 1.0000e-04 eta: 7:18:04 time: 0.7244 data_time: 0.0216 memory: 17350 grad_norm: 8.6516 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8057 loss: 0.8057 2022/07/24 19:58:18 - mmengine - INFO - Epoch(train) [90][1920/3757] lr: 1.0000e-04 eta: 7:17:50 time: 0.6339 data_time: 0.0225 memory: 17350 grad_norm: 8.7517 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8809 loss: 0.8809 2022/07/24 19:58:31 - mmengine - INFO - Epoch(train) [90][1940/3757] lr: 1.0000e-04 eta: 7:17:37 time: 0.6585 data_time: 0.0219 memory: 17350 grad_norm: 8.8382 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9120 loss: 0.9120 2022/07/24 19:58:45 - mmengine - INFO - Epoch(train) [90][1960/3757] lr: 1.0000e-04 eta: 7:17:24 time: 0.6782 data_time: 0.0215 memory: 17350 grad_norm: 9.0193 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0582 loss: 1.0582 2022/07/24 19:58:58 - mmengine - INFO - Epoch(train) [90][1980/3757] lr: 1.0000e-04 eta: 7:17:10 time: 0.6761 data_time: 0.0239 memory: 17350 grad_norm: 8.8954 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7920 loss: 0.7920 2022/07/24 19:59:11 - mmengine - INFO - Epoch(train) [90][2000/3757] lr: 1.0000e-04 eta: 7:16:57 time: 0.6368 data_time: 0.0229 memory: 17350 grad_norm: 8.9161 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9405 loss: 0.9405 2022/07/24 19:59:25 - mmengine - INFO - Epoch(train) [90][2020/3757] lr: 1.0000e-04 eta: 7:16:44 time: 0.7071 data_time: 0.0220 memory: 17350 grad_norm: 8.5276 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8523 loss: 0.8523 2022/07/24 19:59:37 - mmengine - INFO - Epoch(train) [90][2040/3757] lr: 1.0000e-04 eta: 7:16:30 time: 0.5985 data_time: 0.0267 memory: 17350 grad_norm: 9.0764 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0562 loss: 1.0562 2022/07/24 19:59:51 - mmengine - INFO - Epoch(train) [90][2060/3757] lr: 1.0000e-04 eta: 7:16:17 time: 0.7066 data_time: 0.0209 memory: 17350 grad_norm: 9.1845 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2128 loss: 1.2128 2022/07/24 20:00:03 - mmengine - INFO - Epoch(train) [90][2080/3757] lr: 1.0000e-04 eta: 7:16:03 time: 0.6054 data_time: 0.0228 memory: 17350 grad_norm: 8.9838 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0261 loss: 1.0261 2022/07/24 20:00:18 - mmengine - INFO - Epoch(train) [90][2100/3757] lr: 1.0000e-04 eta: 7:15:50 time: 0.7558 data_time: 0.0203 memory: 17350 grad_norm: 8.8156 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9991 loss: 0.9991 2022/07/24 20:00:31 - mmengine - INFO - Epoch(train) [90][2120/3757] lr: 1.0000e-04 eta: 7:15:37 time: 0.6098 data_time: 0.0213 memory: 17350 grad_norm: 8.8673 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8178 loss: 0.8178 2022/07/24 20:00:45 - mmengine - INFO - Epoch(train) [90][2140/3757] lr: 1.0000e-04 eta: 7:15:24 time: 0.7237 data_time: 0.0226 memory: 17350 grad_norm: 8.5688 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8864 loss: 0.8864 2022/07/24 20:00:57 - mmengine - INFO - Epoch(train) [90][2160/3757] lr: 1.0000e-04 eta: 7:15:10 time: 0.5696 data_time: 0.0243 memory: 17350 grad_norm: 8.9212 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8994 loss: 0.8994 2022/07/24 20:01:11 - mmengine - INFO - Epoch(train) [90][2180/3757] lr: 1.0000e-04 eta: 7:14:57 time: 0.7144 data_time: 0.0223 memory: 17350 grad_norm: 8.5173 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9018 loss: 0.9018 2022/07/24 20:01:24 - mmengine - INFO - Epoch(train) [90][2200/3757] lr: 1.0000e-04 eta: 7:14:44 time: 0.6520 data_time: 0.0223 memory: 17350 grad_norm: 8.9895 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9051 loss: 0.9051 2022/07/24 20:01:37 - mmengine - INFO - Epoch(train) [90][2220/3757] lr: 1.0000e-04 eta: 7:14:30 time: 0.6407 data_time: 0.0228 memory: 17350 grad_norm: 9.0922 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0907 loss: 1.0907 2022/07/24 20:01:50 - mmengine - INFO - Epoch(train) [90][2240/3757] lr: 1.0000e-04 eta: 7:14:17 time: 0.6782 data_time: 0.0330 memory: 17350 grad_norm: 9.0190 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9941 loss: 0.9941 2022/07/24 20:02:05 - mmengine - INFO - Epoch(train) [90][2260/3757] lr: 1.0000e-04 eta: 7:14:04 time: 0.7259 data_time: 0.0252 memory: 17350 grad_norm: 8.7084 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9405 loss: 0.9405 2022/07/24 20:02:17 - mmengine - INFO - Epoch(train) [90][2280/3757] lr: 1.0000e-04 eta: 7:13:50 time: 0.5945 data_time: 0.0243 memory: 17350 grad_norm: 8.9336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1971 loss: 1.1971 2022/07/24 20:02:31 - mmengine - INFO - Epoch(train) [90][2300/3757] lr: 1.0000e-04 eta: 7:13:37 time: 0.7002 data_time: 0.0208 memory: 17350 grad_norm: 8.7291 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8411 loss: 0.8411 2022/07/24 20:02:43 - mmengine - INFO - Epoch(train) [90][2320/3757] lr: 1.0000e-04 eta: 7:13:23 time: 0.6272 data_time: 0.0233 memory: 17350 grad_norm: 9.1392 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0636 loss: 1.0636 2022/07/24 20:02:58 - mmengine - INFO - Epoch(train) [90][2340/3757] lr: 1.0000e-04 eta: 7:13:10 time: 0.7255 data_time: 0.0224 memory: 17350 grad_norm: 8.7650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9848 loss: 0.9848 2022/07/24 20:03:10 - mmengine - INFO - Epoch(train) [90][2360/3757] lr: 1.0000e-04 eta: 7:12:57 time: 0.6123 data_time: 0.0234 memory: 17350 grad_norm: 9.1490 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0958 loss: 1.0958 2022/07/24 20:03:25 - mmengine - INFO - Epoch(train) [90][2380/3757] lr: 1.0000e-04 eta: 7:12:44 time: 0.7621 data_time: 0.0230 memory: 17350 grad_norm: 9.3740 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8673 loss: 0.8673 2022/07/24 20:03:37 - mmengine - INFO - Epoch(train) [90][2400/3757] lr: 1.0000e-04 eta: 7:12:30 time: 0.5539 data_time: 0.0253 memory: 17350 grad_norm: 9.1306 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9356 loss: 0.9356 2022/07/24 20:03:51 - mmengine - INFO - Epoch(train) [90][2420/3757] lr: 1.0000e-04 eta: 7:12:17 time: 0.7300 data_time: 0.0215 memory: 17350 grad_norm: 9.2006 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0413 loss: 1.0413 2022/07/24 20:04:04 - mmengine - INFO - Epoch(train) [90][2440/3757] lr: 1.0000e-04 eta: 7:12:03 time: 0.6173 data_time: 0.0502 memory: 17350 grad_norm: 9.0085 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0052 loss: 1.0052 2022/07/24 20:04:18 - mmengine - INFO - Epoch(train) [90][2460/3757] lr: 1.0000e-04 eta: 7:11:50 time: 0.6985 data_time: 0.0679 memory: 17350 grad_norm: 8.8135 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9926 loss: 0.9926 2022/07/24 20:04:30 - mmengine - INFO - Epoch(train) [90][2480/3757] lr: 1.0000e-04 eta: 7:11:37 time: 0.6143 data_time: 0.1114 memory: 17350 grad_norm: 9.0402 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7981 loss: 0.7981 2022/07/24 20:04:44 - mmengine - INFO - Epoch(train) [90][2500/3757] lr: 1.0000e-04 eta: 7:11:24 time: 0.7115 data_time: 0.0738 memory: 17350 grad_norm: 9.0042 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9293 loss: 0.9293 2022/07/24 20:04:56 - mmengine - INFO - Epoch(train) [90][2520/3757] lr: 1.0000e-04 eta: 7:11:10 time: 0.6060 data_time: 0.1305 memory: 17350 grad_norm: 9.4456 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0331 loss: 1.0331 2022/07/24 20:05:11 - mmengine - INFO - Epoch(train) [90][2540/3757] lr: 1.0000e-04 eta: 7:10:57 time: 0.7174 data_time: 0.1037 memory: 17350 grad_norm: 8.6127 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0311 loss: 1.0311 2022/07/24 20:05:23 - mmengine - INFO - Epoch(train) [90][2560/3757] lr: 1.0000e-04 eta: 7:10:43 time: 0.6246 data_time: 0.1591 memory: 17350 grad_norm: 9.1839 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8616 loss: 0.8616 2022/07/24 20:05:37 - mmengine - INFO - Epoch(train) [90][2580/3757] lr: 1.0000e-04 eta: 7:10:30 time: 0.6686 data_time: 0.1632 memory: 17350 grad_norm: 8.8320 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0650 loss: 1.0650 2022/07/24 20:05:51 - mmengine - INFO - Epoch(train) [90][2600/3757] lr: 1.0000e-04 eta: 7:10:17 time: 0.7334 data_time: 0.3706 memory: 17350 grad_norm: 9.0560 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1519 loss: 1.1519 2022/07/24 20:06:04 - mmengine - INFO - Epoch(train) [90][2620/3757] lr: 1.0000e-04 eta: 7:10:03 time: 0.6283 data_time: 0.2412 memory: 17350 grad_norm: 9.2849 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9296 loss: 0.9296 2022/07/24 20:06:08 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 20:06:18 - mmengine - INFO - Epoch(train) [90][2640/3757] lr: 1.0000e-04 eta: 7:09:50 time: 0.6923 data_time: 0.2575 memory: 17350 grad_norm: 8.8241 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7522 loss: 0.7522 2022/07/24 20:06:31 - mmengine - INFO - Epoch(train) [90][2660/3757] lr: 1.0000e-04 eta: 7:09:37 time: 0.6444 data_time: 0.2980 memory: 17350 grad_norm: 9.0516 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0718 loss: 1.0718 2022/07/24 20:06:44 - mmengine - INFO - Epoch(train) [90][2680/3757] lr: 1.0000e-04 eta: 7:09:24 time: 0.6923 data_time: 0.3571 memory: 17350 grad_norm: 9.0161 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1818 loss: 1.1818 2022/07/24 20:06:57 - mmengine - INFO - Epoch(train) [90][2700/3757] lr: 1.0000e-04 eta: 7:09:10 time: 0.6069 data_time: 0.2713 memory: 17350 grad_norm: 9.0156 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0268 loss: 1.0268 2022/07/24 20:07:11 - mmengine - INFO - Epoch(train) [90][2720/3757] lr: 1.0000e-04 eta: 7:08:57 time: 0.7222 data_time: 0.3754 memory: 17350 grad_norm: 8.7328 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1151 loss: 1.1151 2022/07/24 20:07:23 - mmengine - INFO - Epoch(train) [90][2740/3757] lr: 1.0000e-04 eta: 7:08:43 time: 0.6029 data_time: 0.2482 memory: 17350 grad_norm: 8.9342 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8379 loss: 0.8379 2022/07/24 20:07:37 - mmengine - INFO - Epoch(train) [90][2760/3757] lr: 1.0000e-04 eta: 7:08:30 time: 0.7157 data_time: 0.3726 memory: 17350 grad_norm: 8.9640 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9708 loss: 0.9708 2022/07/24 20:07:50 - mmengine - INFO - Epoch(train) [90][2780/3757] lr: 1.0000e-04 eta: 7:08:17 time: 0.6224 data_time: 0.2856 memory: 17350 grad_norm: 8.5854 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9024 loss: 0.9024 2022/07/24 20:08:04 - mmengine - INFO - Epoch(train) [90][2800/3757] lr: 1.0000e-04 eta: 7:08:03 time: 0.6936 data_time: 0.3592 memory: 17350 grad_norm: 8.7069 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7354 loss: 0.7354 2022/07/24 20:08:17 - mmengine - INFO - Epoch(train) [90][2820/3757] lr: 1.0000e-04 eta: 7:07:50 time: 0.6451 data_time: 0.3116 memory: 17350 grad_norm: 9.2457 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1529 loss: 1.1529 2022/07/24 20:08:31 - mmengine - INFO - Epoch(train) [90][2840/3757] lr: 1.0000e-04 eta: 7:07:37 time: 0.7212 data_time: 0.3850 memory: 17350 grad_norm: 8.5028 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8906 loss: 0.8906 2022/07/24 20:08:43 - mmengine - INFO - Epoch(train) [90][2860/3757] lr: 1.0000e-04 eta: 7:07:23 time: 0.5898 data_time: 0.2509 memory: 17350 grad_norm: 9.0918 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1217 loss: 1.1217 2022/07/24 20:08:57 - mmengine - INFO - Epoch(train) [90][2880/3757] lr: 1.0000e-04 eta: 7:07:10 time: 0.7160 data_time: 0.3689 memory: 17350 grad_norm: 8.8332 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0344 loss: 1.0344 2022/07/24 20:09:10 - mmengine - INFO - Epoch(train) [90][2900/3757] lr: 1.0000e-04 eta: 7:06:57 time: 0.6372 data_time: 0.2999 memory: 17350 grad_norm: 8.8039 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0794 loss: 1.0794 2022/07/24 20:09:23 - mmengine - INFO - Epoch(train) [90][2920/3757] lr: 1.0000e-04 eta: 7:06:43 time: 0.6589 data_time: 0.3277 memory: 17350 grad_norm: 8.8115 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9682 loss: 0.9682 2022/07/24 20:09:36 - mmengine - INFO - Epoch(train) [90][2940/3757] lr: 1.0000e-04 eta: 7:06:30 time: 0.6413 data_time: 0.3031 memory: 17350 grad_norm: 9.2038 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9401 loss: 0.9401 2022/07/24 20:09:50 - mmengine - INFO - Epoch(train) [90][2960/3757] lr: 1.0000e-04 eta: 7:06:17 time: 0.6974 data_time: 0.3683 memory: 17350 grad_norm: 9.1303 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0031 loss: 1.0031 2022/07/24 20:10:04 - mmengine - INFO - Epoch(train) [90][2980/3757] lr: 1.0000e-04 eta: 7:06:03 time: 0.6801 data_time: 0.3518 memory: 17350 grad_norm: 9.0141 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0155 loss: 1.0155 2022/07/24 20:10:18 - mmengine - INFO - Epoch(train) [90][3000/3757] lr: 1.0000e-04 eta: 7:05:50 time: 0.7032 data_time: 0.3616 memory: 17350 grad_norm: 9.2616 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8918 loss: 0.8918 2022/07/24 20:10:30 - mmengine - INFO - Epoch(train) [90][3020/3757] lr: 1.0000e-04 eta: 7:05:37 time: 0.6269 data_time: 0.2862 memory: 17350 grad_norm: 9.0069 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9609 loss: 0.9609 2022/07/24 20:10:44 - mmengine - INFO - Epoch(train) [90][3040/3757] lr: 1.0000e-04 eta: 7:05:23 time: 0.6879 data_time: 0.3523 memory: 17350 grad_norm: 8.9419 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9456 loss: 0.9456 2022/07/24 20:10:56 - mmengine - INFO - Epoch(train) [90][3060/3757] lr: 1.0000e-04 eta: 7:05:10 time: 0.6013 data_time: 0.2605 memory: 17350 grad_norm: 8.6531 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7647 loss: 0.7647 2022/07/24 20:11:11 - mmengine - INFO - Epoch(train) [90][3080/3757] lr: 1.0000e-04 eta: 7:04:57 time: 0.7317 data_time: 0.3940 memory: 17350 grad_norm: 9.0027 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1435 loss: 1.1435 2022/07/24 20:11:23 - mmengine - INFO - Epoch(train) [90][3100/3757] lr: 1.0000e-04 eta: 7:04:43 time: 0.5846 data_time: 0.2521 memory: 17350 grad_norm: 9.2808 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1202 loss: 1.1202 2022/07/24 20:11:37 - mmengine - INFO - Epoch(train) [90][3120/3757] lr: 1.0000e-04 eta: 7:04:30 time: 0.7239 data_time: 0.3893 memory: 17350 grad_norm: 8.5439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9408 loss: 0.9408 2022/07/24 20:11:49 - mmengine - INFO - Epoch(train) [90][3140/3757] lr: 1.0000e-04 eta: 7:04:17 time: 0.5818 data_time: 0.2480 memory: 17350 grad_norm: 9.0950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9544 loss: 0.9544 2022/07/24 20:12:03 - mmengine - INFO - Epoch(train) [90][3160/3757] lr: 1.0000e-04 eta: 7:04:03 time: 0.7173 data_time: 0.3814 memory: 17350 grad_norm: 8.7434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9454 loss: 0.9454 2022/07/24 20:12:16 - mmengine - INFO - Epoch(train) [90][3180/3757] lr: 1.0000e-04 eta: 7:03:50 time: 0.6244 data_time: 0.2911 memory: 17350 grad_norm: 9.0017 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8412 loss: 0.8412 2022/07/24 20:12:28 - mmengine - INFO - Epoch(train) [90][3200/3757] lr: 1.0000e-04 eta: 7:03:36 time: 0.6319 data_time: 0.3009 memory: 17350 grad_norm: 9.0302 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8897 loss: 0.8897 2022/07/24 20:12:43 - mmengine - INFO - Epoch(train) [90][3220/3757] lr: 1.0000e-04 eta: 7:03:23 time: 0.7449 data_time: 0.3187 memory: 17350 grad_norm: 9.1070 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9442 loss: 0.9442 2022/07/24 20:12:55 - mmengine - INFO - Epoch(train) [90][3240/3757] lr: 1.0000e-04 eta: 7:03:10 time: 0.6097 data_time: 0.2381 memory: 17350 grad_norm: 8.9410 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0606 loss: 1.0606 2022/07/24 20:13:09 - mmengine - INFO - Epoch(train) [90][3260/3757] lr: 1.0000e-04 eta: 7:02:57 time: 0.6971 data_time: 0.2834 memory: 17350 grad_norm: 9.3080 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0847 loss: 1.0847 2022/07/24 20:13:21 - mmengine - INFO - Epoch(train) [90][3280/3757] lr: 1.0000e-04 eta: 7:02:43 time: 0.5885 data_time: 0.2603 memory: 17350 grad_norm: 8.6390 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7889 loss: 0.7889 2022/07/24 20:13:36 - mmengine - INFO - Epoch(train) [90][3300/3757] lr: 1.0000e-04 eta: 7:02:30 time: 0.7405 data_time: 0.3461 memory: 17350 grad_norm: 8.8374 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0414 loss: 1.0414 2022/07/24 20:13:48 - mmengine - INFO - Epoch(train) [90][3320/3757] lr: 1.0000e-04 eta: 7:02:16 time: 0.6150 data_time: 0.1584 memory: 17350 grad_norm: 9.0592 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3603 loss: 1.3603 2022/07/24 20:14:02 - mmengine - INFO - Epoch(train) [90][3340/3757] lr: 1.0000e-04 eta: 7:02:03 time: 0.6708 data_time: 0.2084 memory: 17350 grad_norm: 9.0440 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0190 loss: 1.0190 2022/07/24 20:14:15 - mmengine - INFO - Epoch(train) [90][3360/3757] lr: 1.0000e-04 eta: 7:01:50 time: 0.6864 data_time: 0.1189 memory: 17350 grad_norm: 8.7692 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9849 loss: 0.9849 2022/07/24 20:14:28 - mmengine - INFO - Epoch(train) [90][3380/3757] lr: 1.0000e-04 eta: 7:01:36 time: 0.6363 data_time: 0.1163 memory: 17350 grad_norm: 9.0571 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0449 loss: 1.0449 2022/07/24 20:14:43 - mmengine - INFO - Epoch(train) [90][3400/3757] lr: 1.0000e-04 eta: 7:01:23 time: 0.7583 data_time: 0.0241 memory: 17350 grad_norm: 8.2385 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7852 loss: 0.7852 2022/07/24 20:14:56 - mmengine - INFO - Epoch(train) [90][3420/3757] lr: 1.0000e-04 eta: 7:01:10 time: 0.6334 data_time: 0.0229 memory: 17350 grad_norm: 8.8496 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8469 loss: 0.8469 2022/07/24 20:15:11 - mmengine - INFO - Epoch(train) [90][3440/3757] lr: 1.0000e-04 eta: 7:00:57 time: 0.7387 data_time: 0.0221 memory: 17350 grad_norm: 9.2129 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1691 loss: 1.1691 2022/07/24 20:15:22 - mmengine - INFO - Epoch(train) [90][3460/3757] lr: 1.0000e-04 eta: 7:00:43 time: 0.5767 data_time: 0.0239 memory: 17350 grad_norm: 8.9028 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1518 loss: 1.1518 2022/07/24 20:15:37 - mmengine - INFO - Epoch(train) [90][3480/3757] lr: 1.0000e-04 eta: 7:00:30 time: 0.7353 data_time: 0.0217 memory: 17350 grad_norm: 8.6700 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0177 loss: 1.0177 2022/07/24 20:15:49 - mmengine - INFO - Epoch(train) [90][3500/3757] lr: 1.0000e-04 eta: 7:00:17 time: 0.5930 data_time: 0.0224 memory: 17350 grad_norm: 8.8482 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0609 loss: 1.0609 2022/07/24 20:16:04 - mmengine - INFO - Epoch(train) [90][3520/3757] lr: 1.0000e-04 eta: 7:00:03 time: 0.7460 data_time: 0.0220 memory: 17350 grad_norm: 9.7134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0970 loss: 1.0970 2022/07/24 20:16:16 - mmengine - INFO - Epoch(train) [90][3540/3757] lr: 1.0000e-04 eta: 6:59:50 time: 0.5969 data_time: 0.0240 memory: 17350 grad_norm: 9.2052 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0517 loss: 1.0517 2022/07/24 20:16:30 - mmengine - INFO - Epoch(train) [90][3560/3757] lr: 1.0000e-04 eta: 6:59:37 time: 0.7039 data_time: 0.0226 memory: 17350 grad_norm: 8.8794 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8952 loss: 0.8952 2022/07/24 20:16:43 - mmengine - INFO - Epoch(train) [90][3580/3757] lr: 1.0000e-04 eta: 6:59:23 time: 0.6242 data_time: 0.0375 memory: 17350 grad_norm: 9.0816 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8810 loss: 0.8810 2022/07/24 20:16:57 - mmengine - INFO - Epoch(train) [90][3600/3757] lr: 1.0000e-04 eta: 6:59:10 time: 0.7323 data_time: 0.0235 memory: 17350 grad_norm: 8.9398 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0220 loss: 1.0220 2022/07/24 20:17:09 - mmengine - INFO - Epoch(train) [90][3620/3757] lr: 1.0000e-04 eta: 6:58:57 time: 0.5835 data_time: 0.0263 memory: 17350 grad_norm: 8.8484 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2018 loss: 1.2018 2022/07/24 20:17:14 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 20:17:23 - mmengine - INFO - Epoch(train) [90][3640/3757] lr: 1.0000e-04 eta: 6:58:43 time: 0.7051 data_time: 0.0211 memory: 17350 grad_norm: 8.8891 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8452 loss: 0.8452 2022/07/24 20:17:36 - mmengine - INFO - Epoch(train) [90][3660/3757] lr: 1.0000e-04 eta: 6:58:30 time: 0.6245 data_time: 0.0227 memory: 17350 grad_norm: 8.8866 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8209 loss: 0.8209 2022/07/24 20:17:50 - mmengine - INFO - Epoch(train) [90][3680/3757] lr: 1.0000e-04 eta: 6:58:17 time: 0.7303 data_time: 0.0211 memory: 17350 grad_norm: 8.8571 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9416 loss: 0.9416 2022/07/24 20:18:02 - mmengine - INFO - Epoch(train) [90][3700/3757] lr: 1.0000e-04 eta: 6:58:03 time: 0.6018 data_time: 0.0222 memory: 17350 grad_norm: 8.8694 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0355 loss: 1.0355 2022/07/24 20:18:16 - mmengine - INFO - Epoch(train) [90][3720/3757] lr: 1.0000e-04 eta: 6:57:50 time: 0.6889 data_time: 0.0233 memory: 17350 grad_norm: 8.4932 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7126 loss: 0.7126 2022/07/24 20:18:28 - mmengine - INFO - Epoch(train) [90][3740/3757] lr: 1.0000e-04 eta: 6:57:36 time: 0.6080 data_time: 0.0228 memory: 17350 grad_norm: 8.6535 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8266 loss: 0.8266 2022/07/24 20:18:37 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 20:18:37 - mmengine - INFO - Epoch(train) [90][3757/3757] lr: 1.0000e-04 eta: 6:57:36 time: 0.4941 data_time: 0.0224 memory: 17350 grad_norm: 9.2793 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.1667 loss: 1.1667 2022/07/24 20:18:37 - mmengine - INFO - Saving checkpoint at 90 epochs 2022/07/24 20:18:56 - mmengine - INFO - Epoch(val) [90][20/310] eta: 0:03:59 time: 0.8244 data_time: 0.7115 memory: 3406 2022/07/24 20:19:07 - mmengine - INFO - Epoch(val) [90][40/310] eta: 0:02:26 time: 0.5444 data_time: 0.4297 memory: 3406 2022/07/24 20:19:22 - mmengine - INFO - Epoch(val) [90][60/310] eta: 0:03:10 time: 0.7618 data_time: 0.6471 memory: 3406 2022/07/24 20:19:34 - mmengine - INFO - Epoch(val) [90][80/310] eta: 0:02:12 time: 0.5754 data_time: 0.4609 memory: 3406 2022/07/24 20:19:48 - mmengine - INFO - Epoch(val) [90][100/310] eta: 0:02:35 time: 0.7387 data_time: 0.6246 memory: 3406 2022/07/24 20:19:59 - mmengine - INFO - Epoch(val) [90][120/310] eta: 0:01:40 time: 0.5299 data_time: 0.4149 memory: 3406 2022/07/24 20:20:15 - mmengine - INFO - Epoch(val) [90][140/310] eta: 0:02:18 time: 0.8124 data_time: 0.6969 memory: 3406 2022/07/24 20:20:26 - mmengine - INFO - Epoch(val) [90][160/310] eta: 0:01:19 time: 0.5273 data_time: 0.4161 memory: 3406 2022/07/24 20:20:41 - mmengine - INFO - Epoch(val) [90][180/310] eta: 0:01:38 time: 0.7542 data_time: 0.6421 memory: 3406 2022/07/24 20:20:51 - mmengine - INFO - Epoch(val) [90][200/310] eta: 0:00:58 time: 0.5297 data_time: 0.4171 memory: 3406 2022/07/24 20:21:07 - mmengine - INFO - Epoch(val) [90][220/310] eta: 0:01:09 time: 0.7714 data_time: 0.6514 memory: 3406 2022/07/24 20:21:18 - mmengine - INFO - Epoch(val) [90][240/310] eta: 0:00:37 time: 0.5369 data_time: 0.4248 memory: 3406 2022/07/24 20:21:33 - mmengine - INFO - Epoch(val) [90][260/310] eta: 0:00:39 time: 0.7861 data_time: 0.6729 memory: 3406 2022/07/24 20:21:45 - mmengine - INFO - Epoch(val) [90][280/310] eta: 0:00:17 time: 0.5722 data_time: 0.4580 memory: 3406 2022/07/24 20:21:59 - mmengine - INFO - Epoch(val) [90][300/310] eta: 0:00:06 time: 0.6929 data_time: 0.5810 memory: 3406 2022/07/24 20:22:02 - mmengine - INFO - Epoch(val) [90][310/310] acc/top1: 0.6902 acc/top5: 0.8785 acc/mean1: 0.6902 2022/07/24 20:22:20 - mmengine - INFO - Epoch(train) [91][20/3757] lr: 1.0000e-04 eta: 6:57:11 time: 0.8534 data_time: 0.5126 memory: 17350 grad_norm: 8.9328 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9842 loss: 0.9842 2022/07/24 20:22:32 - mmengine - INFO - Epoch(train) [91][40/3757] lr: 1.0000e-04 eta: 6:56:57 time: 0.6131 data_time: 0.2403 memory: 17350 grad_norm: 8.7441 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7691 loss: 0.7691 2022/07/24 20:22:47 - mmengine - INFO - Epoch(train) [91][60/3757] lr: 1.0000e-04 eta: 6:56:44 time: 0.7716 data_time: 0.2738 memory: 17350 grad_norm: 9.2695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3979 loss: 1.3979 2022/07/24 20:22:59 - mmengine - INFO - Epoch(train) [91][80/3757] lr: 1.0000e-04 eta: 6:56:31 time: 0.5882 data_time: 0.1439 memory: 17350 grad_norm: 9.2240 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9830 loss: 0.9830 2022/07/24 20:23:14 - mmengine - INFO - Epoch(train) [91][100/3757] lr: 1.0000e-04 eta: 6:56:18 time: 0.7376 data_time: 0.1777 memory: 17350 grad_norm: 9.3784 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9761 loss: 0.9761 2022/07/24 20:23:27 - mmengine - INFO - Epoch(train) [91][120/3757] lr: 1.0000e-04 eta: 6:56:04 time: 0.6283 data_time: 0.0787 memory: 17350 grad_norm: 8.9006 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0376 loss: 1.0376 2022/07/24 20:23:41 - mmengine - INFO - Epoch(train) [91][140/3757] lr: 1.0000e-04 eta: 6:55:51 time: 0.7078 data_time: 0.0241 memory: 17350 grad_norm: 8.9771 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0188 loss: 1.0188 2022/07/24 20:23:53 - mmengine - INFO - Epoch(train) [91][160/3757] lr: 1.0000e-04 eta: 6:55:38 time: 0.6080 data_time: 0.0469 memory: 17350 grad_norm: 9.0328 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0983 loss: 1.0983 2022/07/24 20:24:08 - mmengine - INFO - Epoch(train) [91][180/3757] lr: 1.0000e-04 eta: 6:55:24 time: 0.7502 data_time: 0.0927 memory: 17350 grad_norm: 9.0503 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8820 loss: 0.8820 2022/07/24 20:24:20 - mmengine - INFO - Epoch(train) [91][200/3757] lr: 1.0000e-04 eta: 6:55:11 time: 0.6036 data_time: 0.0516 memory: 17350 grad_norm: 8.6067 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.6986 loss: 0.6986 2022/07/24 20:24:35 - mmengine - INFO - Epoch(train) [91][220/3757] lr: 1.0000e-04 eta: 6:54:58 time: 0.7427 data_time: 0.0790 memory: 17350 grad_norm: 8.4013 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8973 loss: 0.8973 2022/07/24 20:24:47 - mmengine - INFO - Epoch(train) [91][240/3757] lr: 1.0000e-04 eta: 6:54:44 time: 0.6115 data_time: 0.0281 memory: 17350 grad_norm: 8.5406 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8429 loss: 0.8429 2022/07/24 20:25:02 - mmengine - INFO - Epoch(train) [91][260/3757] lr: 1.0000e-04 eta: 6:54:31 time: 0.7170 data_time: 0.0631 memory: 17350 grad_norm: 8.7814 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9673 loss: 0.9673 2022/07/24 20:25:14 - mmengine - INFO - Epoch(train) [91][280/3757] lr: 1.0000e-04 eta: 6:54:18 time: 0.6229 data_time: 0.0332 memory: 17350 grad_norm: 8.7256 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0013 loss: 1.0013 2022/07/24 20:25:28 - mmengine - INFO - Epoch(train) [91][300/3757] lr: 1.0000e-04 eta: 6:54:04 time: 0.7105 data_time: 0.0242 memory: 17350 grad_norm: 8.3149 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6703 loss: 0.6703 2022/07/24 20:25:40 - mmengine - INFO - Epoch(train) [91][320/3757] lr: 1.0000e-04 eta: 6:53:51 time: 0.5893 data_time: 0.0282 memory: 17350 grad_norm: 8.9962 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9856 loss: 0.9856 2022/07/24 20:25:55 - mmengine - INFO - Epoch(train) [91][340/3757] lr: 1.0000e-04 eta: 6:53:38 time: 0.7489 data_time: 0.0220 memory: 17350 grad_norm: 8.5354 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9867 loss: 0.9867 2022/07/24 20:26:07 - mmengine - INFO - Epoch(train) [91][360/3757] lr: 1.0000e-04 eta: 6:53:24 time: 0.5946 data_time: 0.0275 memory: 17350 grad_norm: 8.9781 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0424 loss: 1.0424 2022/07/24 20:26:21 - mmengine - INFO - Epoch(train) [91][380/3757] lr: 1.0000e-04 eta: 6:53:11 time: 0.7016 data_time: 0.0204 memory: 17350 grad_norm: 9.3715 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9904 loss: 0.9904 2022/07/24 20:26:34 - mmengine - INFO - Epoch(train) [91][400/3757] lr: 1.0000e-04 eta: 6:52:58 time: 0.6579 data_time: 0.0390 memory: 17350 grad_norm: 9.0089 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0359 loss: 1.0359 2022/07/24 20:26:48 - mmengine - INFO - Epoch(train) [91][420/3757] lr: 1.0000e-04 eta: 6:52:44 time: 0.6843 data_time: 0.0293 memory: 17350 grad_norm: 8.9901 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1672 loss: 1.1672 2022/07/24 20:27:01 - mmengine - INFO - Epoch(train) [91][440/3757] lr: 1.0000e-04 eta: 6:52:31 time: 0.6317 data_time: 0.0225 memory: 17350 grad_norm: 9.5433 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9588 loss: 0.9588 2022/07/24 20:27:15 - mmengine - INFO - Epoch(train) [91][460/3757] lr: 1.0000e-04 eta: 6:52:18 time: 0.7377 data_time: 0.0237 memory: 17350 grad_norm: 8.8916 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8235 loss: 0.8235 2022/07/24 20:27:27 - mmengine - INFO - Epoch(train) [91][480/3757] lr: 1.0000e-04 eta: 6:52:04 time: 0.5700 data_time: 0.0236 memory: 17350 grad_norm: 8.9909 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9935 loss: 0.9935 2022/07/24 20:27:41 - mmengine - INFO - Epoch(train) [91][500/3757] lr: 1.0000e-04 eta: 6:51:51 time: 0.7378 data_time: 0.0237 memory: 17350 grad_norm: 8.8840 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0958 loss: 1.0958 2022/07/24 20:27:54 - mmengine - INFO - Epoch(train) [91][520/3757] lr: 1.0000e-04 eta: 6:51:38 time: 0.6143 data_time: 0.0234 memory: 17350 grad_norm: 9.2079 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9586 loss: 0.9586 2022/07/24 20:28:09 - mmengine - INFO - Epoch(train) [91][540/3757] lr: 1.0000e-04 eta: 6:51:25 time: 0.7581 data_time: 0.0239 memory: 17350 grad_norm: 8.8545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0072 loss: 1.0072 2022/07/24 20:28:21 - mmengine - INFO - Epoch(train) [91][560/3757] lr: 1.0000e-04 eta: 6:51:11 time: 0.5890 data_time: 0.0233 memory: 17350 grad_norm: 8.6954 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9736 loss: 0.9736 2022/07/24 20:28:35 - mmengine - INFO - Epoch(train) [91][580/3757] lr: 1.0000e-04 eta: 6:50:58 time: 0.6863 data_time: 0.0215 memory: 17350 grad_norm: 9.4250 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0133 loss: 1.0133 2022/07/24 20:28:46 - mmengine - INFO - Epoch(train) [91][600/3757] lr: 1.0000e-04 eta: 6:50:44 time: 0.5951 data_time: 0.0239 memory: 17350 grad_norm: 8.9780 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1411 loss: 1.1411 2022/07/24 20:29:01 - mmengine - INFO - Epoch(train) [91][620/3757] lr: 1.0000e-04 eta: 6:50:31 time: 0.7108 data_time: 0.0219 memory: 17350 grad_norm: 8.9508 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8917 loss: 0.8917 2022/07/24 20:29:13 - mmengine - INFO - Epoch(train) [91][640/3757] lr: 1.0000e-04 eta: 6:50:18 time: 0.6115 data_time: 0.0228 memory: 17350 grad_norm: 8.7633 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9397 loss: 0.9397 2022/07/24 20:29:28 - mmengine - INFO - Epoch(train) [91][660/3757] lr: 1.0000e-04 eta: 6:50:04 time: 0.7407 data_time: 0.0234 memory: 17350 grad_norm: 8.7099 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1100 loss: 1.1100 2022/07/24 20:29:40 - mmengine - INFO - Epoch(train) [91][680/3757] lr: 1.0000e-04 eta: 6:49:51 time: 0.6111 data_time: 0.0224 memory: 17350 grad_norm: 8.8968 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7936 loss: 0.7936 2022/07/24 20:29:54 - mmengine - INFO - Epoch(train) [91][700/3757] lr: 1.0000e-04 eta: 6:49:38 time: 0.7153 data_time: 0.0219 memory: 17350 grad_norm: 8.7505 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0295 loss: 1.0295 2022/07/24 20:30:07 - mmengine - INFO - Epoch(train) [91][720/3757] lr: 1.0000e-04 eta: 6:49:24 time: 0.6350 data_time: 0.0237 memory: 17350 grad_norm: 9.1372 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0121 loss: 1.0121 2022/07/24 20:30:21 - mmengine - INFO - Epoch(train) [91][740/3757] lr: 1.0000e-04 eta: 6:49:11 time: 0.7171 data_time: 0.0227 memory: 17350 grad_norm: 8.8865 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8486 loss: 0.8486 2022/07/24 20:30:33 - mmengine - INFO - Epoch(train) [91][760/3757] lr: 1.0000e-04 eta: 6:48:58 time: 0.6001 data_time: 0.0262 memory: 17350 grad_norm: 8.9090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0141 loss: 1.0141 2022/07/24 20:30:48 - mmengine - INFO - Epoch(train) [91][780/3757] lr: 1.0000e-04 eta: 6:48:44 time: 0.7378 data_time: 0.0216 memory: 17350 grad_norm: 8.7920 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9695 loss: 0.9695 2022/07/24 20:31:00 - mmengine - INFO - Epoch(train) [91][800/3757] lr: 1.0000e-04 eta: 6:48:31 time: 0.6136 data_time: 0.0225 memory: 17350 grad_norm: 8.7401 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9987 loss: 0.9987 2022/07/24 20:31:15 - mmengine - INFO - Epoch(train) [91][820/3757] lr: 1.0000e-04 eta: 6:48:18 time: 0.7222 data_time: 0.0227 memory: 17350 grad_norm: 9.2082 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8393 loss: 0.8393 2022/07/24 20:31:27 - mmengine - INFO - Epoch(train) [91][840/3757] lr: 1.0000e-04 eta: 6:48:04 time: 0.5782 data_time: 0.0231 memory: 17350 grad_norm: 8.8800 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8382 loss: 0.8382 2022/07/24 20:31:41 - mmengine - INFO - Epoch(train) [91][860/3757] lr: 1.0000e-04 eta: 6:47:51 time: 0.7121 data_time: 0.0218 memory: 17350 grad_norm: 8.9436 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1746 loss: 1.1746 2022/07/24 20:31:47 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 20:31:53 - mmengine - INFO - Epoch(train) [91][880/3757] lr: 1.0000e-04 eta: 6:47:38 time: 0.5916 data_time: 0.0235 memory: 17350 grad_norm: 8.7224 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9808 loss: 0.9808 2022/07/24 20:32:07 - mmengine - INFO - Epoch(train) [91][900/3757] lr: 1.0000e-04 eta: 6:47:24 time: 0.7374 data_time: 0.0215 memory: 17350 grad_norm: 8.9001 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9488 loss: 0.9488 2022/07/24 20:32:20 - mmengine - INFO - Epoch(train) [91][920/3757] lr: 1.0000e-04 eta: 6:47:11 time: 0.6153 data_time: 0.0227 memory: 17350 grad_norm: 8.8888 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0009 loss: 1.0009 2022/07/24 20:32:34 - mmengine - INFO - Epoch(train) [91][940/3757] lr: 1.0000e-04 eta: 6:46:58 time: 0.6871 data_time: 0.0215 memory: 17350 grad_norm: 8.6324 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9380 loss: 0.9380 2022/07/24 20:32:46 - mmengine - INFO - Epoch(train) [91][960/3757] lr: 1.0000e-04 eta: 6:46:44 time: 0.6244 data_time: 0.0233 memory: 17350 grad_norm: 8.8975 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8068 loss: 0.8068 2022/07/24 20:33:01 - mmengine - INFO - Epoch(train) [91][980/3757] lr: 1.0000e-04 eta: 6:46:31 time: 0.7357 data_time: 0.0241 memory: 17350 grad_norm: 9.1696 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2011 loss: 1.2011 2022/07/24 20:33:13 - mmengine - INFO - Epoch(train) [91][1000/3757] lr: 1.0000e-04 eta: 6:46:18 time: 0.6008 data_time: 0.0243 memory: 17350 grad_norm: 8.6893 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8564 loss: 0.8564 2022/07/24 20:33:27 - mmengine - INFO - Epoch(train) [91][1020/3757] lr: 1.0000e-04 eta: 6:46:04 time: 0.7044 data_time: 0.0218 memory: 17350 grad_norm: 9.0571 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9866 loss: 0.9866 2022/07/24 20:33:39 - mmengine - INFO - Epoch(train) [91][1040/3757] lr: 1.0000e-04 eta: 6:45:51 time: 0.6233 data_time: 0.0257 memory: 17350 grad_norm: 9.3426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9247 loss: 0.9247 2022/07/24 20:33:53 - mmengine - INFO - Epoch(train) [91][1060/3757] lr: 1.0000e-04 eta: 6:45:38 time: 0.6678 data_time: 0.0223 memory: 17350 grad_norm: 9.0287 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1184 loss: 1.1184 2022/07/24 20:34:05 - mmengine - INFO - Epoch(train) [91][1080/3757] lr: 1.0000e-04 eta: 6:45:24 time: 0.6015 data_time: 0.0230 memory: 17350 grad_norm: 9.3442 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0063 loss: 1.0063 2022/07/24 20:34:20 - mmengine - INFO - Epoch(train) [91][1100/3757] lr: 1.0000e-04 eta: 6:45:11 time: 0.7688 data_time: 0.0230 memory: 17350 grad_norm: 8.9815 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0420 loss: 1.0420 2022/07/24 20:34:32 - mmengine - INFO - Epoch(train) [91][1120/3757] lr: 1.0000e-04 eta: 6:44:57 time: 0.6001 data_time: 0.0226 memory: 17350 grad_norm: 9.0484 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8455 loss: 0.8455 2022/07/24 20:34:47 - mmengine - INFO - Epoch(train) [91][1140/3757] lr: 1.0000e-04 eta: 6:44:44 time: 0.7493 data_time: 0.0231 memory: 17350 grad_norm: 9.2071 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9344 loss: 0.9344 2022/07/24 20:34:59 - mmengine - INFO - Epoch(train) [91][1160/3757] lr: 1.0000e-04 eta: 6:44:31 time: 0.5962 data_time: 0.0261 memory: 17350 grad_norm: 8.9215 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9383 loss: 0.9383 2022/07/24 20:35:14 - mmengine - INFO - Epoch(train) [91][1180/3757] lr: 1.0000e-04 eta: 6:44:18 time: 0.7503 data_time: 0.0243 memory: 17350 grad_norm: 9.1188 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0504 loss: 1.0504 2022/07/24 20:35:26 - mmengine - INFO - Epoch(train) [91][1200/3757] lr: 1.0000e-04 eta: 6:44:04 time: 0.6052 data_time: 0.0228 memory: 17350 grad_norm: 8.9807 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9471 loss: 0.9471 2022/07/24 20:35:40 - mmengine - INFO - Epoch(train) [91][1220/3757] lr: 1.0000e-04 eta: 6:43:51 time: 0.6995 data_time: 0.0246 memory: 17350 grad_norm: 9.1313 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0111 loss: 1.0111 2022/07/24 20:35:53 - mmengine - INFO - Epoch(train) [91][1240/3757] lr: 1.0000e-04 eta: 6:43:38 time: 0.6162 data_time: 0.0230 memory: 17350 grad_norm: 9.2514 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.0933 loss: 1.0933 2022/07/24 20:36:07 - mmengine - INFO - Epoch(train) [91][1260/3757] lr: 1.0000e-04 eta: 6:43:24 time: 0.7257 data_time: 0.0225 memory: 17350 grad_norm: 9.1148 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0535 loss: 1.0535 2022/07/24 20:36:19 - mmengine - INFO - Epoch(train) [91][1280/3757] lr: 1.0000e-04 eta: 6:43:11 time: 0.5794 data_time: 0.0268 memory: 17350 grad_norm: 8.8036 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7589 loss: 0.7589 2022/07/24 20:36:33 - mmengine - INFO - Epoch(train) [91][1300/3757] lr: 1.0000e-04 eta: 6:42:58 time: 0.7283 data_time: 0.0230 memory: 17350 grad_norm: 9.1170 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1807 loss: 1.1807 2022/07/24 20:36:45 - mmengine - INFO - Epoch(train) [91][1320/3757] lr: 1.0000e-04 eta: 6:42:44 time: 0.5952 data_time: 0.0239 memory: 17350 grad_norm: 9.1924 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9908 loss: 0.9908 2022/07/24 20:37:00 - mmengine - INFO - Epoch(train) [91][1340/3757] lr: 1.0000e-04 eta: 6:42:31 time: 0.7556 data_time: 0.0237 memory: 17350 grad_norm: 8.6471 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9769 loss: 0.9769 2022/07/24 20:37:13 - mmengine - INFO - Epoch(train) [91][1360/3757] lr: 1.0000e-04 eta: 6:42:17 time: 0.6005 data_time: 0.0260 memory: 17350 grad_norm: 8.4081 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0134 loss: 1.0134 2022/07/24 20:37:27 - mmengine - INFO - Epoch(train) [91][1380/3757] lr: 1.0000e-04 eta: 6:42:04 time: 0.7174 data_time: 0.0246 memory: 17350 grad_norm: 8.9280 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7580 loss: 0.7580 2022/07/24 20:37:39 - mmengine - INFO - Epoch(train) [91][1400/3757] lr: 1.0000e-04 eta: 6:41:51 time: 0.6031 data_time: 0.0241 memory: 17350 grad_norm: 8.8070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9560 loss: 0.9560 2022/07/24 20:37:53 - mmengine - INFO - Epoch(train) [91][1420/3757] lr: 1.0000e-04 eta: 6:41:38 time: 0.6972 data_time: 0.0181 memory: 17350 grad_norm: 8.7096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0405 loss: 1.0405 2022/07/24 20:38:05 - mmengine - INFO - Epoch(train) [91][1440/3757] lr: 1.0000e-04 eta: 6:41:24 time: 0.6231 data_time: 0.0236 memory: 17350 grad_norm: 9.4908 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0749 loss: 1.0749 2022/07/24 20:38:20 - mmengine - INFO - Epoch(train) [91][1460/3757] lr: 1.0000e-04 eta: 6:41:11 time: 0.7069 data_time: 0.0234 memory: 17350 grad_norm: 8.3126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9800 loss: 0.9800 2022/07/24 20:38:31 - mmengine - INFO - Epoch(train) [91][1480/3757] lr: 1.0000e-04 eta: 6:40:57 time: 0.5663 data_time: 0.0210 memory: 17350 grad_norm: 9.1430 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1651 loss: 1.1651 2022/07/24 20:38:45 - mmengine - INFO - Epoch(train) [91][1500/3757] lr: 1.0000e-04 eta: 6:40:44 time: 0.7108 data_time: 0.0241 memory: 17350 grad_norm: 9.1269 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9661 loss: 0.9661 2022/07/24 20:38:58 - mmengine - INFO - Epoch(train) [91][1520/3757] lr: 1.0000e-04 eta: 6:40:31 time: 0.6295 data_time: 0.0231 memory: 17350 grad_norm: 8.8322 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0328 loss: 1.0328 2022/07/24 20:39:12 - mmengine - INFO - Epoch(train) [91][1540/3757] lr: 1.0000e-04 eta: 6:40:17 time: 0.7091 data_time: 0.0410 memory: 17350 grad_norm: 9.1247 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7645 loss: 0.7645 2022/07/24 20:39:24 - mmengine - INFO - Epoch(train) [91][1560/3757] lr: 1.0000e-04 eta: 6:40:04 time: 0.6123 data_time: 0.0323 memory: 17350 grad_norm: 9.0546 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8639 loss: 0.8639 2022/07/24 20:39:39 - mmengine - INFO - Epoch(train) [91][1580/3757] lr: 1.0000e-04 eta: 6:39:51 time: 0.7216 data_time: 0.0238 memory: 17350 grad_norm: 8.9149 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9779 loss: 0.9779 2022/07/24 20:39:50 - mmengine - INFO - Epoch(train) [91][1600/3757] lr: 1.0000e-04 eta: 6:39:37 time: 0.5887 data_time: 0.0236 memory: 17350 grad_norm: 9.0130 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2675 loss: 1.2675 2022/07/24 20:40:06 - mmengine - INFO - Epoch(train) [91][1620/3757] lr: 1.0000e-04 eta: 6:39:24 time: 0.7627 data_time: 0.0239 memory: 17350 grad_norm: 8.5027 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9327 loss: 0.9327 2022/07/24 20:40:17 - mmengine - INFO - Epoch(train) [91][1640/3757] lr: 1.0000e-04 eta: 6:39:11 time: 0.5816 data_time: 0.0231 memory: 17350 grad_norm: 8.6141 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8860 loss: 0.8860 2022/07/24 20:40:32 - mmengine - INFO - Epoch(train) [91][1660/3757] lr: 1.0000e-04 eta: 6:38:57 time: 0.7216 data_time: 0.0233 memory: 17350 grad_norm: 8.8991 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2384 loss: 1.2384 2022/07/24 20:40:44 - mmengine - INFO - Epoch(train) [91][1680/3757] lr: 1.0000e-04 eta: 6:38:44 time: 0.6267 data_time: 0.0255 memory: 17350 grad_norm: 9.1429 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0347 loss: 1.0347 2022/07/24 20:40:58 - mmengine - INFO - Epoch(train) [91][1700/3757] lr: 1.0000e-04 eta: 6:38:31 time: 0.7019 data_time: 0.0224 memory: 17350 grad_norm: 8.8949 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0954 loss: 1.0954 2022/07/24 20:41:11 - mmengine - INFO - Epoch(train) [91][1720/3757] lr: 1.0000e-04 eta: 6:38:17 time: 0.6376 data_time: 0.0249 memory: 17350 grad_norm: 8.4175 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8468 loss: 0.8468 2022/07/24 20:41:25 - mmengine - INFO - Epoch(train) [91][1740/3757] lr: 1.0000e-04 eta: 6:38:04 time: 0.6926 data_time: 0.0257 memory: 17350 grad_norm: 8.8872 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1945 loss: 1.1945 2022/07/24 20:41:38 - mmengine - INFO - Epoch(train) [91][1760/3757] lr: 1.0000e-04 eta: 6:37:51 time: 0.6381 data_time: 0.0251 memory: 17350 grad_norm: 9.0094 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8946 loss: 0.8946 2022/07/24 20:41:51 - mmengine - INFO - Epoch(train) [91][1780/3757] lr: 1.0000e-04 eta: 6:37:37 time: 0.6770 data_time: 0.0228 memory: 17350 grad_norm: 9.2160 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0383 loss: 1.0383 2022/07/24 20:42:03 - mmengine - INFO - Epoch(train) [91][1800/3757] lr: 1.0000e-04 eta: 6:37:24 time: 0.5786 data_time: 0.0247 memory: 17350 grad_norm: 8.5357 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0483 loss: 1.0483 2022/07/24 20:42:17 - mmengine - INFO - Epoch(train) [91][1820/3757] lr: 1.0000e-04 eta: 6:37:11 time: 0.7162 data_time: 0.0311 memory: 17350 grad_norm: 8.8162 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1532 loss: 1.1532 2022/07/24 20:42:30 - mmengine - INFO - Epoch(train) [91][1840/3757] lr: 1.0000e-04 eta: 6:36:57 time: 0.6104 data_time: 0.0282 memory: 17350 grad_norm: 9.1832 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0538 loss: 1.0538 2022/07/24 20:42:43 - mmengine - INFO - Epoch(train) [91][1860/3757] lr: 1.0000e-04 eta: 6:36:44 time: 0.6845 data_time: 0.0329 memory: 17350 grad_norm: 9.1521 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9446 loss: 0.9446 2022/07/24 20:42:50 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 20:42:56 - mmengine - INFO - Epoch(train) [91][1880/3757] lr: 1.0000e-04 eta: 6:36:30 time: 0.6340 data_time: 0.0470 memory: 17350 grad_norm: 8.9285 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8949 loss: 0.8949 2022/07/24 20:43:11 - mmengine - INFO - Epoch(train) [91][1900/3757] lr: 1.0000e-04 eta: 6:36:17 time: 0.7423 data_time: 0.0582 memory: 17350 grad_norm: 9.2254 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9598 loss: 0.9598 2022/07/24 20:43:23 - mmengine - INFO - Epoch(train) [91][1920/3757] lr: 1.0000e-04 eta: 6:36:04 time: 0.5910 data_time: 0.0230 memory: 17350 grad_norm: 8.5031 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8302 loss: 0.8302 2022/07/24 20:43:38 - mmengine - INFO - Epoch(train) [91][1940/3757] lr: 1.0000e-04 eta: 6:35:51 time: 0.7764 data_time: 0.0313 memory: 17350 grad_norm: 8.7309 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1090 loss: 1.1090 2022/07/24 20:43:51 - mmengine - INFO - Epoch(train) [91][1960/3757] lr: 1.0000e-04 eta: 6:35:37 time: 0.6109 data_time: 0.0262 memory: 17350 grad_norm: 8.7685 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9460 loss: 0.9460 2022/07/24 20:44:04 - mmengine - INFO - Epoch(train) [91][1980/3757] lr: 1.0000e-04 eta: 6:35:24 time: 0.6759 data_time: 0.0221 memory: 17350 grad_norm: 8.8652 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9570 loss: 0.9570 2022/07/24 20:44:16 - mmengine - INFO - Epoch(train) [91][2000/3757] lr: 1.0000e-04 eta: 6:35:10 time: 0.5883 data_time: 0.0483 memory: 17350 grad_norm: 8.7053 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8936 loss: 0.8936 2022/07/24 20:44:31 - mmengine - INFO - Epoch(train) [91][2020/3757] lr: 1.0000e-04 eta: 6:34:57 time: 0.7520 data_time: 0.2231 memory: 17350 grad_norm: 8.9461 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9778 loss: 0.9778 2022/07/24 20:44:43 - mmengine - INFO - Epoch(train) [91][2040/3757] lr: 1.0000e-04 eta: 6:34:44 time: 0.5905 data_time: 0.1164 memory: 17350 grad_norm: 9.2752 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9557 loss: 0.9557 2022/07/24 20:44:57 - mmengine - INFO - Epoch(train) [91][2060/3757] lr: 1.0000e-04 eta: 6:34:31 time: 0.7227 data_time: 0.0751 memory: 17350 grad_norm: 8.7689 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7459 loss: 0.7459 2022/07/24 20:45:09 - mmengine - INFO - Epoch(train) [91][2080/3757] lr: 1.0000e-04 eta: 6:34:17 time: 0.6038 data_time: 0.0717 memory: 17350 grad_norm: 8.9657 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8872 loss: 0.8872 2022/07/24 20:45:24 - mmengine - INFO - Epoch(train) [91][2100/3757] lr: 1.0000e-04 eta: 6:34:04 time: 0.7377 data_time: 0.2007 memory: 17350 grad_norm: 8.8124 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1590 loss: 1.1590 2022/07/24 20:45:36 - mmengine - INFO - Epoch(train) [91][2120/3757] lr: 1.0000e-04 eta: 6:33:50 time: 0.5844 data_time: 0.1480 memory: 17350 grad_norm: 9.1003 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8454 loss: 0.8454 2022/07/24 20:45:50 - mmengine - INFO - Epoch(train) [91][2140/3757] lr: 1.0000e-04 eta: 6:33:37 time: 0.7284 data_time: 0.3574 memory: 17350 grad_norm: 8.7373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6756 loss: 0.6756 2022/07/24 20:46:03 - mmengine - INFO - Epoch(train) [91][2160/3757] lr: 1.0000e-04 eta: 6:33:24 time: 0.6165 data_time: 0.2059 memory: 17350 grad_norm: 8.6184 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9267 loss: 0.9267 2022/07/24 20:46:16 - mmengine - INFO - Epoch(train) [91][2180/3757] lr: 1.0000e-04 eta: 6:33:11 time: 0.6883 data_time: 0.2452 memory: 17350 grad_norm: 8.5515 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9980 loss: 0.9980 2022/07/24 20:46:30 - mmengine - INFO - Epoch(train) [91][2200/3757] lr: 1.0000e-04 eta: 6:32:57 time: 0.6713 data_time: 0.1571 memory: 17350 grad_norm: 8.7453 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0824 loss: 1.0824 2022/07/24 20:46:43 - mmengine - INFO - Epoch(train) [91][2220/3757] lr: 1.0000e-04 eta: 6:32:44 time: 0.6562 data_time: 0.1516 memory: 17350 grad_norm: 8.7178 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0709 loss: 1.0709 2022/07/24 20:46:56 - mmengine - INFO - Epoch(train) [91][2240/3757] lr: 1.0000e-04 eta: 6:32:30 time: 0.6577 data_time: 0.1004 memory: 17350 grad_norm: 9.7262 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2166 loss: 1.2166 2022/07/24 20:47:12 - mmengine - INFO - Epoch(train) [91][2260/3757] lr: 1.0000e-04 eta: 6:32:17 time: 0.7700 data_time: 0.0746 memory: 17350 grad_norm: 9.5136 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0226 loss: 1.0226 2022/07/24 20:47:24 - mmengine - INFO - Epoch(train) [91][2280/3757] lr: 1.0000e-04 eta: 6:32:04 time: 0.6096 data_time: 0.0236 memory: 17350 grad_norm: 9.0202 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0036 loss: 1.0036 2022/07/24 20:47:38 - mmengine - INFO - Epoch(train) [91][2300/3757] lr: 1.0000e-04 eta: 6:31:51 time: 0.7107 data_time: 0.0213 memory: 17350 grad_norm: 8.7951 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9414 loss: 0.9414 2022/07/24 20:47:50 - mmengine - INFO - Epoch(train) [91][2320/3757] lr: 1.0000e-04 eta: 6:31:37 time: 0.6082 data_time: 0.0234 memory: 17350 grad_norm: 9.3280 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9669 loss: 0.9669 2022/07/24 20:48:04 - mmengine - INFO - Epoch(train) [91][2340/3757] lr: 1.0000e-04 eta: 6:31:24 time: 0.6876 data_time: 0.0227 memory: 17350 grad_norm: 8.7182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9894 loss: 0.9894 2022/07/24 20:48:16 - mmengine - INFO - Epoch(train) [91][2360/3757] lr: 1.0000e-04 eta: 6:31:10 time: 0.6026 data_time: 0.0265 memory: 17350 grad_norm: 9.0892 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9810 loss: 0.9810 2022/07/24 20:48:30 - mmengine - INFO - Epoch(train) [91][2380/3757] lr: 1.0000e-04 eta: 6:30:57 time: 0.6821 data_time: 0.0257 memory: 17350 grad_norm: 8.8492 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0849 loss: 1.0849 2022/07/24 20:48:42 - mmengine - INFO - Epoch(train) [91][2400/3757] lr: 1.0000e-04 eta: 6:30:44 time: 0.6128 data_time: 0.0450 memory: 17350 grad_norm: 8.8387 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7983 loss: 0.7983 2022/07/24 20:48:56 - mmengine - INFO - Epoch(train) [91][2420/3757] lr: 1.0000e-04 eta: 6:30:30 time: 0.7063 data_time: 0.0720 memory: 17350 grad_norm: 9.0714 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0389 loss: 1.0389 2022/07/24 20:49:09 - mmengine - INFO - Epoch(train) [91][2440/3757] lr: 1.0000e-04 eta: 6:30:17 time: 0.6573 data_time: 0.0320 memory: 17350 grad_norm: 9.3143 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9910 loss: 0.9910 2022/07/24 20:49:23 - mmengine - INFO - Epoch(train) [91][2460/3757] lr: 1.0000e-04 eta: 6:30:04 time: 0.6637 data_time: 0.0248 memory: 17350 grad_norm: 8.7331 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0054 loss: 1.0054 2022/07/24 20:49:36 - mmengine - INFO - Epoch(train) [91][2480/3757] lr: 1.0000e-04 eta: 6:29:50 time: 0.6605 data_time: 0.0217 memory: 17350 grad_norm: 9.2297 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8368 loss: 0.8368 2022/07/24 20:49:48 - mmengine - INFO - Epoch(train) [91][2500/3757] lr: 1.0000e-04 eta: 6:29:37 time: 0.6200 data_time: 0.0237 memory: 17350 grad_norm: 8.7886 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1685 loss: 1.1685 2022/07/24 20:50:01 - mmengine - INFO - Epoch(train) [91][2520/3757] lr: 1.0000e-04 eta: 6:29:24 time: 0.6293 data_time: 0.0226 memory: 17350 grad_norm: 8.5312 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2044 loss: 1.2044 2022/07/24 20:50:16 - mmengine - INFO - Epoch(train) [91][2540/3757] lr: 1.0000e-04 eta: 6:29:10 time: 0.7692 data_time: 0.0280 memory: 17350 grad_norm: 9.4878 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0484 loss: 1.0484 2022/07/24 20:50:28 - mmengine - INFO - Epoch(train) [91][2560/3757] lr: 1.0000e-04 eta: 6:28:57 time: 0.5931 data_time: 0.0224 memory: 17350 grad_norm: 8.6536 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1215 loss: 1.1215 2022/07/24 20:50:43 - mmengine - INFO - Epoch(train) [91][2580/3757] lr: 1.0000e-04 eta: 6:28:44 time: 0.7143 data_time: 0.0221 memory: 17350 grad_norm: 8.8943 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0472 loss: 1.0472 2022/07/24 20:50:54 - mmengine - INFO - Epoch(train) [91][2600/3757] lr: 1.0000e-04 eta: 6:28:30 time: 0.5766 data_time: 0.0239 memory: 17350 grad_norm: 8.9712 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8249 loss: 0.8249 2022/07/24 20:51:09 - mmengine - INFO - Epoch(train) [91][2620/3757] lr: 1.0000e-04 eta: 6:28:17 time: 0.7284 data_time: 0.0397 memory: 17350 grad_norm: 8.7619 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1287 loss: 1.1287 2022/07/24 20:51:21 - mmengine - INFO - Epoch(train) [91][2640/3757] lr: 1.0000e-04 eta: 6:28:04 time: 0.6231 data_time: 0.0914 memory: 17350 grad_norm: 8.8302 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0294 loss: 1.0294 2022/07/24 20:51:36 - mmengine - INFO - Epoch(train) [91][2660/3757] lr: 1.0000e-04 eta: 6:27:50 time: 0.7573 data_time: 0.0256 memory: 17350 grad_norm: 9.3131 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9592 loss: 0.9592 2022/07/24 20:51:48 - mmengine - INFO - Epoch(train) [91][2680/3757] lr: 1.0000e-04 eta: 6:27:37 time: 0.5932 data_time: 0.0228 memory: 17350 grad_norm: 9.2026 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8241 loss: 0.8241 2022/07/24 20:52:03 - mmengine - INFO - Epoch(train) [91][2700/3757] lr: 1.0000e-04 eta: 6:27:24 time: 0.7562 data_time: 0.0231 memory: 17350 grad_norm: 9.3348 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1316 loss: 1.1316 2022/07/24 20:52:15 - mmengine - INFO - Epoch(train) [91][2720/3757] lr: 1.0000e-04 eta: 6:27:10 time: 0.5686 data_time: 0.0290 memory: 17350 grad_norm: 8.6539 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9885 loss: 0.9885 2022/07/24 20:52:29 - mmengine - INFO - Epoch(train) [91][2740/3757] lr: 1.0000e-04 eta: 6:26:57 time: 0.7119 data_time: 0.0242 memory: 17350 grad_norm: 8.7777 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0982 loss: 1.0982 2022/07/24 20:52:41 - mmengine - INFO - Epoch(train) [91][2760/3757] lr: 1.0000e-04 eta: 6:26:44 time: 0.5875 data_time: 0.0221 memory: 17350 grad_norm: 9.2894 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9644 loss: 0.9644 2022/07/24 20:52:56 - mmengine - INFO - Epoch(train) [91][2780/3757] lr: 1.0000e-04 eta: 6:26:30 time: 0.7375 data_time: 0.0230 memory: 17350 grad_norm: 8.8003 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9756 loss: 0.9756 2022/07/24 20:53:07 - mmengine - INFO - Epoch(train) [91][2800/3757] lr: 1.0000e-04 eta: 6:26:17 time: 0.5890 data_time: 0.0213 memory: 17350 grad_norm: 8.8068 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0688 loss: 1.0688 2022/07/24 20:53:22 - mmengine - INFO - Epoch(train) [91][2820/3757] lr: 1.0000e-04 eta: 6:26:04 time: 0.7521 data_time: 0.0220 memory: 17350 grad_norm: 8.8131 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8264 loss: 0.8264 2022/07/24 20:53:34 - mmengine - INFO - Epoch(train) [91][2840/3757] lr: 1.0000e-04 eta: 6:25:50 time: 0.5777 data_time: 0.0226 memory: 17350 grad_norm: 9.1540 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2397 loss: 1.2397 2022/07/24 20:53:49 - mmengine - INFO - Epoch(train) [91][2860/3757] lr: 1.0000e-04 eta: 6:25:37 time: 0.7361 data_time: 0.0211 memory: 17350 grad_norm: 9.4841 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9263 loss: 0.9263 2022/07/24 20:53:55 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 20:54:01 - mmengine - INFO - Epoch(train) [91][2880/3757] lr: 1.0000e-04 eta: 6:25:24 time: 0.5917 data_time: 0.0229 memory: 17350 grad_norm: 8.9249 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9132 loss: 0.9132 2022/07/24 20:54:15 - mmengine - INFO - Epoch(train) [91][2900/3757] lr: 1.0000e-04 eta: 6:25:10 time: 0.7268 data_time: 0.0230 memory: 17350 grad_norm: 9.0709 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0057 loss: 1.0057 2022/07/24 20:54:27 - mmengine - INFO - Epoch(train) [91][2920/3757] lr: 1.0000e-04 eta: 6:24:57 time: 0.5962 data_time: 0.0197 memory: 17350 grad_norm: 9.0377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8752 loss: 0.8752 2022/07/24 20:54:42 - mmengine - INFO - Epoch(train) [91][2940/3757] lr: 1.0000e-04 eta: 6:24:44 time: 0.7425 data_time: 0.0231 memory: 17350 grad_norm: 9.5057 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9410 loss: 0.9410 2022/07/24 20:54:54 - mmengine - INFO - Epoch(train) [91][2960/3757] lr: 1.0000e-04 eta: 6:24:30 time: 0.5922 data_time: 0.0225 memory: 17350 grad_norm: 8.6966 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9168 loss: 0.9168 2022/07/24 20:55:09 - mmengine - INFO - Epoch(train) [91][2980/3757] lr: 1.0000e-04 eta: 6:24:17 time: 0.7517 data_time: 0.0213 memory: 17350 grad_norm: 9.1125 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1107 loss: 1.1107 2022/07/24 20:55:21 - mmengine - INFO - Epoch(train) [91][3000/3757] lr: 1.0000e-04 eta: 6:24:04 time: 0.6195 data_time: 0.0209 memory: 17350 grad_norm: 8.2102 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6495 loss: 0.6495 2022/07/24 20:55:35 - mmengine - INFO - Epoch(train) [91][3020/3757] lr: 1.0000e-04 eta: 6:23:50 time: 0.7024 data_time: 0.0231 memory: 17350 grad_norm: 8.8332 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.9726 loss: 0.9726 2022/07/24 20:55:48 - mmengine - INFO - Epoch(train) [91][3040/3757] lr: 1.0000e-04 eta: 6:23:37 time: 0.6154 data_time: 0.0251 memory: 17350 grad_norm: 8.9005 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0337 loss: 1.0337 2022/07/24 20:56:02 - mmengine - INFO - Epoch(train) [91][3060/3757] lr: 1.0000e-04 eta: 6:23:24 time: 0.7172 data_time: 0.0220 memory: 17350 grad_norm: 8.9220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9943 loss: 0.9943 2022/07/24 20:56:15 - mmengine - INFO - Epoch(train) [91][3080/3757] lr: 1.0000e-04 eta: 6:23:10 time: 0.6236 data_time: 0.0233 memory: 17350 grad_norm: 8.7911 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9049 loss: 0.9049 2022/07/24 20:56:28 - mmengine - INFO - Epoch(train) [91][3100/3757] lr: 1.0000e-04 eta: 6:22:57 time: 0.6907 data_time: 0.0205 memory: 17350 grad_norm: 9.3061 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9730 loss: 0.9730 2022/07/24 20:56:41 - mmengine - INFO - Epoch(train) [91][3120/3757] lr: 1.0000e-04 eta: 6:22:44 time: 0.6241 data_time: 0.0260 memory: 17350 grad_norm: 9.2188 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8917 loss: 0.8917 2022/07/24 20:56:55 - mmengine - INFO - Epoch(train) [91][3140/3757] lr: 1.0000e-04 eta: 6:22:30 time: 0.7196 data_time: 0.0243 memory: 17350 grad_norm: 8.5355 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6609 loss: 0.6609 2022/07/24 20:57:08 - mmengine - INFO - Epoch(train) [91][3160/3757] lr: 1.0000e-04 eta: 6:22:17 time: 0.6445 data_time: 0.0221 memory: 17350 grad_norm: 8.7203 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0190 loss: 1.0190 2022/07/24 20:57:22 - mmengine - INFO - Epoch(train) [91][3180/3757] lr: 1.0000e-04 eta: 6:22:04 time: 0.6971 data_time: 0.0231 memory: 17350 grad_norm: 8.6407 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8985 loss: 0.8985 2022/07/24 20:57:34 - mmengine - INFO - Epoch(train) [91][3200/3757] lr: 1.0000e-04 eta: 6:21:50 time: 0.5860 data_time: 0.0226 memory: 17350 grad_norm: 9.1772 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9347 loss: 0.9347 2022/07/24 20:57:48 - mmengine - INFO - Epoch(train) [91][3220/3757] lr: 1.0000e-04 eta: 6:21:37 time: 0.7038 data_time: 0.0214 memory: 17350 grad_norm: 9.3089 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8478 loss: 0.8478 2022/07/24 20:58:00 - mmengine - INFO - Epoch(train) [91][3240/3757] lr: 1.0000e-04 eta: 6:21:24 time: 0.6091 data_time: 0.0256 memory: 17350 grad_norm: 8.8902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9860 loss: 0.9860 2022/07/24 20:58:14 - mmengine - INFO - Epoch(train) [91][3260/3757] lr: 1.0000e-04 eta: 6:21:10 time: 0.6892 data_time: 0.0227 memory: 17350 grad_norm: 9.2304 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0130 loss: 1.0130 2022/07/24 20:58:26 - mmengine - INFO - Epoch(train) [91][3280/3757] lr: 1.0000e-04 eta: 6:20:57 time: 0.6246 data_time: 0.0238 memory: 17350 grad_norm: 8.6614 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8062 loss: 0.8062 2022/07/24 20:58:41 - mmengine - INFO - Epoch(train) [91][3300/3757] lr: 1.0000e-04 eta: 6:20:44 time: 0.7398 data_time: 0.0218 memory: 17350 grad_norm: 9.0022 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9394 loss: 0.9394 2022/07/24 20:58:53 - mmengine - INFO - Epoch(train) [91][3320/3757] lr: 1.0000e-04 eta: 6:20:30 time: 0.5872 data_time: 0.0263 memory: 17350 grad_norm: 9.0754 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1141 loss: 1.1141 2022/07/24 20:59:07 - mmengine - INFO - Epoch(train) [91][3340/3757] lr: 1.0000e-04 eta: 6:20:17 time: 0.7055 data_time: 0.0217 memory: 17350 grad_norm: 9.2379 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0925 loss: 1.0925 2022/07/24 20:59:20 - mmengine - INFO - Epoch(train) [91][3360/3757] lr: 1.0000e-04 eta: 6:20:04 time: 0.6614 data_time: 0.0217 memory: 17350 grad_norm: 8.9362 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9993 loss: 0.9993 2022/07/24 20:59:34 - mmengine - INFO - Epoch(train) [91][3380/3757] lr: 1.0000e-04 eta: 6:19:50 time: 0.6518 data_time: 0.0227 memory: 17350 grad_norm: 8.7405 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9491 loss: 0.9491 2022/07/24 20:59:47 - mmengine - INFO - Epoch(train) [91][3400/3757] lr: 1.0000e-04 eta: 6:19:37 time: 0.6628 data_time: 0.0230 memory: 17350 grad_norm: 8.6242 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9796 loss: 0.9796 2022/07/24 21:00:00 - mmengine - INFO - Epoch(train) [91][3420/3757] lr: 1.0000e-04 eta: 6:19:24 time: 0.6833 data_time: 0.0215 memory: 17350 grad_norm: 9.0021 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9953 loss: 0.9953 2022/07/24 21:00:15 - mmengine - INFO - Epoch(train) [91][3440/3757] lr: 1.0000e-04 eta: 6:19:10 time: 0.7085 data_time: 0.0220 memory: 17350 grad_norm: 9.2403 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0758 loss: 1.0758 2022/07/24 21:00:27 - mmengine - INFO - Epoch(train) [91][3460/3757] lr: 1.0000e-04 eta: 6:18:57 time: 0.6263 data_time: 0.0234 memory: 17350 grad_norm: 9.2466 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8946 loss: 0.8946 2022/07/24 21:00:40 - mmengine - INFO - Epoch(train) [91][3480/3757] lr: 1.0000e-04 eta: 6:18:44 time: 0.6563 data_time: 0.0226 memory: 17350 grad_norm: 9.0552 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1109 loss: 1.1109 2022/07/24 21:00:54 - mmengine - INFO - Epoch(train) [91][3500/3757] lr: 1.0000e-04 eta: 6:18:30 time: 0.6965 data_time: 0.0839 memory: 17350 grad_norm: 8.8810 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0628 loss: 1.0628 2022/07/24 21:01:06 - mmengine - INFO - Epoch(train) [91][3520/3757] lr: 1.0000e-04 eta: 6:18:17 time: 0.6029 data_time: 0.0589 memory: 17350 grad_norm: 8.8969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9016 loss: 0.9016 2022/07/24 21:01:21 - mmengine - INFO - Epoch(train) [91][3540/3757] lr: 1.0000e-04 eta: 6:18:04 time: 0.7365 data_time: 0.0270 memory: 17350 grad_norm: 9.3202 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0674 loss: 1.0674 2022/07/24 21:01:33 - mmengine - INFO - Epoch(train) [91][3560/3757] lr: 1.0000e-04 eta: 6:17:50 time: 0.6167 data_time: 0.0229 memory: 17350 grad_norm: 9.3222 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8417 loss: 0.8417 2022/07/24 21:01:48 - mmengine - INFO - Epoch(train) [91][3580/3757] lr: 1.0000e-04 eta: 6:17:37 time: 0.7110 data_time: 0.0229 memory: 17350 grad_norm: 9.1693 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1592 loss: 1.1592 2022/07/24 21:02:00 - mmengine - INFO - Epoch(train) [91][3600/3757] lr: 1.0000e-04 eta: 6:17:23 time: 0.5964 data_time: 0.0241 memory: 17350 grad_norm: 9.0161 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1091 loss: 1.1091 2022/07/24 21:02:14 - mmengine - INFO - Epoch(train) [91][3620/3757] lr: 1.0000e-04 eta: 6:17:10 time: 0.7345 data_time: 0.0218 memory: 17350 grad_norm: 8.7443 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8375 loss: 0.8375 2022/07/24 21:02:27 - mmengine - INFO - Epoch(train) [91][3640/3757] lr: 1.0000e-04 eta: 6:16:57 time: 0.6284 data_time: 0.0257 memory: 17350 grad_norm: 8.8080 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8651 loss: 0.8651 2022/07/24 21:02:41 - mmengine - INFO - Epoch(train) [91][3660/3757] lr: 1.0000e-04 eta: 6:16:44 time: 0.7012 data_time: 0.0219 memory: 17350 grad_norm: 9.4942 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0572 loss: 1.0572 2022/07/24 21:02:54 - mmengine - INFO - Epoch(train) [91][3680/3757] lr: 1.0000e-04 eta: 6:16:30 time: 0.6280 data_time: 0.0256 memory: 17350 grad_norm: 8.8354 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7488 loss: 0.7488 2022/07/24 21:03:08 - mmengine - INFO - Epoch(train) [91][3700/3757] lr: 1.0000e-04 eta: 6:16:17 time: 0.7213 data_time: 0.0231 memory: 17350 grad_norm: 8.9254 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9154 loss: 0.9154 2022/07/24 21:03:20 - mmengine - INFO - Epoch(train) [91][3720/3757] lr: 1.0000e-04 eta: 6:16:03 time: 0.5922 data_time: 0.0218 memory: 17350 grad_norm: 9.0114 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8237 loss: 0.8237 2022/07/24 21:03:34 - mmengine - INFO - Epoch(train) [91][3740/3757] lr: 1.0000e-04 eta: 6:15:50 time: 0.7202 data_time: 0.0222 memory: 17350 grad_norm: 9.1739 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9852 loss: 0.9852 2022/07/24 21:03:41 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 21:03:41 - mmengine - INFO - Epoch(train) [91][3757/3757] lr: 1.0000e-04 eta: 6:15:50 time: 0.5281 data_time: 0.0236 memory: 17350 grad_norm: 8.9578 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.8725 loss: 0.8725 2022/07/24 21:03:58 - mmengine - INFO - Epoch(val) [91][20/310] eta: 0:03:57 time: 0.8185 data_time: 0.7021 memory: 3406 2022/07/24 21:04:09 - mmengine - INFO - Epoch(val) [91][40/310] eta: 0:02:35 time: 0.5743 data_time: 0.4554 memory: 3406 2022/07/24 21:04:25 - mmengine - INFO - Epoch(val) [91][60/310] eta: 0:03:19 time: 0.7998 data_time: 0.6838 memory: 3406 2022/07/24 21:04:36 - mmengine - INFO - Epoch(val) [91][80/310] eta: 0:01:59 time: 0.5185 data_time: 0.4042 memory: 3406 2022/07/24 21:04:51 - mmengine - INFO - Epoch(val) [91][100/310] eta: 0:02:41 time: 0.7704 data_time: 0.6529 memory: 3406 2022/07/24 21:05:02 - mmengine - INFO - Epoch(val) [91][120/310] eta: 0:01:40 time: 0.5300 data_time: 0.4172 memory: 3406 2022/07/24 21:05:18 - mmengine - INFO - Epoch(val) [91][140/310] eta: 0:02:18 time: 0.8125 data_time: 0.6944 memory: 3406 2022/07/24 21:05:30 - mmengine - INFO - Epoch(val) [91][160/310] eta: 0:01:26 time: 0.5781 data_time: 0.4652 memory: 3406 2022/07/24 21:05:45 - mmengine - INFO - Epoch(val) [91][180/310] eta: 0:01:38 time: 0.7542 data_time: 0.6375 memory: 3406 2022/07/24 21:05:56 - mmengine - INFO - Epoch(val) [91][200/310] eta: 0:01:02 time: 0.5690 data_time: 0.4573 memory: 3406 2022/07/24 21:06:11 - mmengine - INFO - Epoch(val) [91][220/310] eta: 0:01:07 time: 0.7543 data_time: 0.6323 memory: 3406 2022/07/24 21:06:22 - mmengine - INFO - Epoch(val) [91][240/310] eta: 0:00:38 time: 0.5569 data_time: 0.4450 memory: 3406 2022/07/24 21:06:38 - mmengine - INFO - Epoch(val) [91][260/310] eta: 0:00:38 time: 0.7631 data_time: 0.6485 memory: 3406 2022/07/24 21:06:49 - mmengine - INFO - Epoch(val) [91][280/310] eta: 0:00:17 time: 0.5913 data_time: 0.4776 memory: 3406 2022/07/24 21:07:04 - mmengine - INFO - Epoch(val) [91][300/310] eta: 0:00:07 time: 0.7151 data_time: 0.5990 memory: 3406 2022/07/24 21:07:08 - mmengine - INFO - Epoch(val) [91][310/310] acc/top1: 0.6894 acc/top5: 0.8797 acc/mean1: 0.6893 2022/07/24 21:07:26 - mmengine - INFO - Epoch(train) [92][20/3757] lr: 1.0000e-04 eta: 6:15:25 time: 0.8776 data_time: 0.5194 memory: 17350 grad_norm: 8.8731 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9380 loss: 0.9380 2022/07/24 21:07:38 - mmengine - INFO - Epoch(train) [92][40/3757] lr: 1.0000e-04 eta: 6:15:11 time: 0.6221 data_time: 0.2117 memory: 17350 grad_norm: 9.4400 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9550 loss: 0.9550 2022/07/24 21:07:54 - mmengine - INFO - Epoch(train) [92][60/3757] lr: 1.0000e-04 eta: 6:14:58 time: 0.7814 data_time: 0.2014 memory: 17350 grad_norm: 9.2797 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2049 loss: 1.2049 2022/07/24 21:08:05 - mmengine - INFO - Epoch(train) [92][80/3757] lr: 1.0000e-04 eta: 6:14:45 time: 0.5610 data_time: 0.0595 memory: 17350 grad_norm: 9.1146 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 0.9568 loss: 0.9568 2022/07/24 21:08:20 - mmengine - INFO - Epoch(train) [92][100/3757] lr: 1.0000e-04 eta: 6:14:32 time: 0.7458 data_time: 0.0838 memory: 17350 grad_norm: 9.4410 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1134 loss: 1.1134 2022/07/24 21:08:29 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 21:08:32 - mmengine - INFO - Epoch(train) [92][120/3757] lr: 1.0000e-04 eta: 6:14:18 time: 0.5964 data_time: 0.0619 memory: 17350 grad_norm: 8.9272 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9278 loss: 0.9278 2022/07/24 21:08:46 - mmengine - INFO - Epoch(train) [92][140/3757] lr: 1.0000e-04 eta: 6:14:05 time: 0.6988 data_time: 0.2268 memory: 17350 grad_norm: 8.9844 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0116 loss: 1.0116 2022/07/24 21:08:58 - mmengine - INFO - Epoch(train) [92][160/3757] lr: 1.0000e-04 eta: 6:13:51 time: 0.6177 data_time: 0.1716 memory: 17350 grad_norm: 8.8585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9963 loss: 0.9963 2022/07/24 21:09:13 - mmengine - INFO - Epoch(train) [92][180/3757] lr: 1.0000e-04 eta: 6:13:38 time: 0.7291 data_time: 0.2132 memory: 17350 grad_norm: 8.6712 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0842 loss: 1.0842 2022/07/24 21:09:24 - mmengine - INFO - Epoch(train) [92][200/3757] lr: 1.0000e-04 eta: 6:13:25 time: 0.5855 data_time: 0.1155 memory: 17350 grad_norm: 8.9945 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8291 loss: 0.8291 2022/07/24 21:09:40 - mmengine - INFO - Epoch(train) [92][220/3757] lr: 1.0000e-04 eta: 6:13:12 time: 0.7574 data_time: 0.1273 memory: 17350 grad_norm: 8.7716 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8956 loss: 0.8956 2022/07/24 21:09:52 - mmengine - INFO - Epoch(train) [92][240/3757] lr: 1.0000e-04 eta: 6:12:58 time: 0.5942 data_time: 0.0226 memory: 17350 grad_norm: 9.0051 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9298 loss: 0.9298 2022/07/24 21:10:06 - mmengine - INFO - Epoch(train) [92][260/3757] lr: 1.0000e-04 eta: 6:12:45 time: 0.7416 data_time: 0.0241 memory: 17350 grad_norm: 9.1946 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9296 loss: 0.9296 2022/07/24 21:10:19 - mmengine - INFO - Epoch(train) [92][280/3757] lr: 1.0000e-04 eta: 6:12:32 time: 0.6249 data_time: 0.0221 memory: 17350 grad_norm: 9.0196 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0081 loss: 1.0081 2022/07/24 21:10:32 - mmengine - INFO - Epoch(train) [92][300/3757] lr: 1.0000e-04 eta: 6:12:18 time: 0.6700 data_time: 0.0242 memory: 17350 grad_norm: 8.8278 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1120 loss: 1.1120 2022/07/24 21:10:46 - mmengine - INFO - Epoch(train) [92][320/3757] lr: 1.0000e-04 eta: 6:12:05 time: 0.6743 data_time: 0.0230 memory: 17350 grad_norm: 9.0424 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0181 loss: 1.0181 2022/07/24 21:11:00 - mmengine - INFO - Epoch(train) [92][340/3757] lr: 1.0000e-04 eta: 6:11:52 time: 0.7009 data_time: 0.0247 memory: 17350 grad_norm: 8.9065 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0937 loss: 1.0937 2022/07/24 21:11:13 - mmengine - INFO - Epoch(train) [92][360/3757] lr: 1.0000e-04 eta: 6:11:38 time: 0.6463 data_time: 0.0226 memory: 17350 grad_norm: 9.3145 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9894 loss: 0.9894 2022/07/24 21:11:26 - mmengine - INFO - Epoch(train) [92][380/3757] lr: 1.0000e-04 eta: 6:11:25 time: 0.6647 data_time: 0.0245 memory: 17350 grad_norm: 8.9910 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9922 loss: 0.9922 2022/07/24 21:11:40 - mmengine - INFO - Epoch(train) [92][400/3757] lr: 1.0000e-04 eta: 6:11:12 time: 0.6717 data_time: 0.0219 memory: 17350 grad_norm: 8.6292 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0762 loss: 1.0762 2022/07/24 21:11:53 - mmengine - INFO - Epoch(train) [92][420/3757] lr: 1.0000e-04 eta: 6:10:58 time: 0.6708 data_time: 0.0231 memory: 17350 grad_norm: 8.8565 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0662 loss: 1.0662 2022/07/24 21:12:06 - mmengine - INFO - Epoch(train) [92][440/3757] lr: 1.0000e-04 eta: 6:10:45 time: 0.6419 data_time: 0.0215 memory: 17350 grad_norm: 8.9533 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0863 loss: 1.0863 2022/07/24 21:12:20 - mmengine - INFO - Epoch(train) [92][460/3757] lr: 1.0000e-04 eta: 6:10:32 time: 0.7076 data_time: 0.0244 memory: 17350 grad_norm: 8.8736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9090 loss: 0.9090 2022/07/24 21:12:32 - mmengine - INFO - Epoch(train) [92][480/3757] lr: 1.0000e-04 eta: 6:10:18 time: 0.6124 data_time: 0.0223 memory: 17350 grad_norm: 8.7815 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8070 loss: 0.8070 2022/07/24 21:12:46 - mmengine - INFO - Epoch(train) [92][500/3757] lr: 1.0000e-04 eta: 6:10:05 time: 0.6993 data_time: 0.0235 memory: 17350 grad_norm: 8.9304 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9443 loss: 0.9443 2022/07/24 21:12:59 - mmengine - INFO - Epoch(train) [92][520/3757] lr: 1.0000e-04 eta: 6:09:52 time: 0.6371 data_time: 0.0220 memory: 17350 grad_norm: 8.7460 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9123 loss: 0.9123 2022/07/24 21:13:13 - mmengine - INFO - Epoch(train) [92][540/3757] lr: 1.0000e-04 eta: 6:09:38 time: 0.6994 data_time: 0.0237 memory: 17350 grad_norm: 9.2311 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0067 loss: 1.0067 2022/07/24 21:13:25 - mmengine - INFO - Epoch(train) [92][560/3757] lr: 1.0000e-04 eta: 6:09:25 time: 0.6167 data_time: 0.0238 memory: 17350 grad_norm: 8.7501 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9117 loss: 0.9117 2022/07/24 21:13:41 - mmengine - INFO - Epoch(train) [92][580/3757] lr: 1.0000e-04 eta: 6:09:12 time: 0.7545 data_time: 0.0215 memory: 17350 grad_norm: 8.6741 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9010 loss: 0.9010 2022/07/24 21:13:52 - mmengine - INFO - Epoch(train) [92][600/3757] lr: 1.0000e-04 eta: 6:08:58 time: 0.5816 data_time: 0.0233 memory: 17350 grad_norm: 8.7899 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9999 loss: 0.9999 2022/07/24 21:14:07 - mmengine - INFO - Epoch(train) [92][620/3757] lr: 1.0000e-04 eta: 6:08:45 time: 0.7307 data_time: 0.0219 memory: 17350 grad_norm: 8.9135 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9669 loss: 0.9669 2022/07/24 21:14:19 - mmengine - INFO - Epoch(train) [92][640/3757] lr: 1.0000e-04 eta: 6:08:32 time: 0.6212 data_time: 0.0248 memory: 17350 grad_norm: 9.5955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9189 loss: 0.9189 2022/07/24 21:14:34 - mmengine - INFO - Epoch(train) [92][660/3757] lr: 1.0000e-04 eta: 6:08:18 time: 0.7175 data_time: 0.0253 memory: 17350 grad_norm: 9.2148 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8029 loss: 0.8029 2022/07/24 21:14:46 - mmengine - INFO - Epoch(train) [92][680/3757] lr: 1.0000e-04 eta: 6:08:05 time: 0.5944 data_time: 0.0226 memory: 17350 grad_norm: 8.8430 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9287 loss: 0.9287 2022/07/24 21:15:00 - mmengine - INFO - Epoch(train) [92][700/3757] lr: 1.0000e-04 eta: 6:07:52 time: 0.7221 data_time: 0.0241 memory: 17350 grad_norm: 8.9791 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.0814 loss: 1.0814 2022/07/24 21:15:13 - mmengine - INFO - Epoch(train) [92][720/3757] lr: 1.0000e-04 eta: 6:07:38 time: 0.6476 data_time: 0.0230 memory: 17350 grad_norm: 8.8545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9996 loss: 0.9996 2022/07/24 21:15:27 - mmengine - INFO - Epoch(train) [92][740/3757] lr: 1.0000e-04 eta: 6:07:25 time: 0.7231 data_time: 0.0230 memory: 17350 grad_norm: 9.4460 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0414 loss: 1.0414 2022/07/24 21:15:39 - mmengine - INFO - Epoch(train) [92][760/3757] lr: 1.0000e-04 eta: 6:07:12 time: 0.5560 data_time: 0.0243 memory: 17350 grad_norm: 9.0483 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0800 loss: 1.0800 2022/07/24 21:15:53 - mmengine - INFO - Epoch(train) [92][780/3757] lr: 1.0000e-04 eta: 6:06:58 time: 0.7226 data_time: 0.0226 memory: 17350 grad_norm: 9.0480 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1390 loss: 1.1390 2022/07/24 21:16:06 - mmengine - INFO - Epoch(train) [92][800/3757] lr: 1.0000e-04 eta: 6:06:45 time: 0.6576 data_time: 0.0255 memory: 17350 grad_norm: 8.6651 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7345 loss: 0.7345 2022/07/24 21:16:21 - mmengine - INFO - Epoch(train) [92][820/3757] lr: 1.0000e-04 eta: 6:06:32 time: 0.7561 data_time: 0.0217 memory: 17350 grad_norm: 8.8731 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8679 loss: 0.8679 2022/07/24 21:16:33 - mmengine - INFO - Epoch(train) [92][840/3757] lr: 1.0000e-04 eta: 6:06:18 time: 0.5807 data_time: 0.0279 memory: 17350 grad_norm: 8.5962 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9840 loss: 0.9840 2022/07/24 21:16:47 - mmengine - INFO - Epoch(train) [92][860/3757] lr: 1.0000e-04 eta: 6:06:05 time: 0.7174 data_time: 0.0238 memory: 17350 grad_norm: 8.8343 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8792 loss: 0.8792 2022/07/24 21:16:59 - mmengine - INFO - Epoch(train) [92][880/3757] lr: 1.0000e-04 eta: 6:05:52 time: 0.5874 data_time: 0.0228 memory: 17350 grad_norm: 8.8183 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0263 loss: 1.0263 2022/07/24 21:17:13 - mmengine - INFO - Epoch(train) [92][900/3757] lr: 1.0000e-04 eta: 6:05:38 time: 0.7114 data_time: 0.0226 memory: 17350 grad_norm: 9.5694 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0913 loss: 1.0913 2022/07/24 21:17:26 - mmengine - INFO - Epoch(train) [92][920/3757] lr: 1.0000e-04 eta: 6:05:25 time: 0.6155 data_time: 0.0227 memory: 17350 grad_norm: 8.9375 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9768 loss: 0.9768 2022/07/24 21:17:39 - mmengine - INFO - Epoch(train) [92][940/3757] lr: 1.0000e-04 eta: 6:05:12 time: 0.6555 data_time: 0.0226 memory: 17350 grad_norm: 9.0876 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2582 loss: 1.2582 2022/07/24 21:17:54 - mmengine - INFO - Epoch(train) [92][960/3757] lr: 1.0000e-04 eta: 6:04:58 time: 0.7386 data_time: 0.0232 memory: 17350 grad_norm: 8.7644 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7208 loss: 0.7208 2022/07/24 21:18:06 - mmengine - INFO - Epoch(train) [92][980/3757] lr: 1.0000e-04 eta: 6:04:45 time: 0.6163 data_time: 0.0225 memory: 17350 grad_norm: 9.0735 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1523 loss: 1.1523 2022/07/24 21:18:20 - mmengine - INFO - Epoch(train) [92][1000/3757] lr: 1.0000e-04 eta: 6:04:32 time: 0.7223 data_time: 0.0223 memory: 17350 grad_norm: 8.9412 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9985 loss: 0.9985 2022/07/24 21:18:32 - mmengine - INFO - Epoch(train) [92][1020/3757] lr: 1.0000e-04 eta: 6:04:18 time: 0.5850 data_time: 0.0247 memory: 17350 grad_norm: 8.8679 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9368 loss: 0.9368 2022/07/24 21:18:47 - mmengine - INFO - Epoch(train) [92][1040/3757] lr: 1.0000e-04 eta: 6:04:05 time: 0.7339 data_time: 0.0235 memory: 17350 grad_norm: 8.7197 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0432 loss: 1.0432 2022/07/24 21:18:59 - mmengine - INFO - Epoch(train) [92][1060/3757] lr: 1.0000e-04 eta: 6:03:52 time: 0.6137 data_time: 0.0222 memory: 17350 grad_norm: 8.7243 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8565 loss: 0.8565 2022/07/24 21:19:13 - mmengine - INFO - Epoch(train) [92][1080/3757] lr: 1.0000e-04 eta: 6:03:38 time: 0.6972 data_time: 0.0254 memory: 17350 grad_norm: 9.1427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0430 loss: 1.0430 2022/07/24 21:19:25 - mmengine - INFO - Epoch(train) [92][1100/3757] lr: 1.0000e-04 eta: 6:03:25 time: 0.5997 data_time: 0.0237 memory: 17350 grad_norm: 8.6127 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1159 loss: 1.1159 2022/07/24 21:19:35 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 21:19:39 - mmengine - INFO - Epoch(train) [92][1120/3757] lr: 1.0000e-04 eta: 6:03:12 time: 0.7066 data_time: 0.0226 memory: 17350 grad_norm: 9.4162 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0003 loss: 1.0003 2022/07/24 21:19:51 - mmengine - INFO - Epoch(train) [92][1140/3757] lr: 1.0000e-04 eta: 6:02:58 time: 0.5970 data_time: 0.0241 memory: 17350 grad_norm: 9.0973 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0183 loss: 1.0183 2022/07/24 21:20:06 - mmengine - INFO - Epoch(train) [92][1160/3757] lr: 1.0000e-04 eta: 6:02:45 time: 0.7373 data_time: 0.0139 memory: 17350 grad_norm: 8.7539 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8284 loss: 0.8284 2022/07/24 21:20:18 - mmengine - INFO - Epoch(train) [92][1180/3757] lr: 1.0000e-04 eta: 6:02:31 time: 0.6033 data_time: 0.0240 memory: 17350 grad_norm: 8.8912 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8691 loss: 0.8691 2022/07/24 21:20:32 - mmengine - INFO - Epoch(train) [92][1200/3757] lr: 1.0000e-04 eta: 6:02:18 time: 0.6963 data_time: 0.0224 memory: 17350 grad_norm: 9.1326 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0284 loss: 1.0284 2022/07/24 21:20:45 - mmengine - INFO - Epoch(train) [92][1220/3757] lr: 1.0000e-04 eta: 6:02:05 time: 0.6638 data_time: 0.0217 memory: 17350 grad_norm: 9.1578 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9244 loss: 0.9244 2022/07/24 21:20:59 - mmengine - INFO - Epoch(train) [92][1240/3757] lr: 1.0000e-04 eta: 6:01:52 time: 0.7020 data_time: 0.0222 memory: 17350 grad_norm: 8.9574 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9501 loss: 0.9501 2022/07/24 21:21:11 - mmengine - INFO - Epoch(train) [92][1260/3757] lr: 1.0000e-04 eta: 6:01:38 time: 0.6017 data_time: 0.0231 memory: 17350 grad_norm: 8.9980 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0934 loss: 1.0934 2022/07/24 21:21:25 - mmengine - INFO - Epoch(train) [92][1280/3757] lr: 1.0000e-04 eta: 6:01:25 time: 0.6901 data_time: 0.0290 memory: 17350 grad_norm: 8.9453 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7715 loss: 0.7715 2022/07/24 21:21:38 - mmengine - INFO - Epoch(train) [92][1300/3757] lr: 1.0000e-04 eta: 6:01:12 time: 0.6557 data_time: 0.0248 memory: 17350 grad_norm: 8.5774 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9928 loss: 0.9928 2022/07/24 21:21:52 - mmengine - INFO - Epoch(train) [92][1320/3757] lr: 1.0000e-04 eta: 6:00:58 time: 0.6676 data_time: 0.0206 memory: 17350 grad_norm: 9.0191 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8730 loss: 0.8730 2022/07/24 21:22:05 - mmengine - INFO - Epoch(train) [92][1340/3757] lr: 1.0000e-04 eta: 6:00:45 time: 0.6349 data_time: 0.0236 memory: 17350 grad_norm: 9.0513 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0980 loss: 1.0980 2022/07/24 21:22:19 - mmengine - INFO - Epoch(train) [92][1360/3757] lr: 1.0000e-04 eta: 6:00:32 time: 0.7169 data_time: 0.0231 memory: 17350 grad_norm: 8.3184 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7579 loss: 0.7579 2022/07/24 21:22:31 - mmengine - INFO - Epoch(train) [92][1380/3757] lr: 1.0000e-04 eta: 6:00:18 time: 0.5901 data_time: 0.0242 memory: 17350 grad_norm: 9.0621 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9361 loss: 0.9361 2022/07/24 21:22:45 - mmengine - INFO - Epoch(train) [92][1400/3757] lr: 1.0000e-04 eta: 6:00:05 time: 0.7201 data_time: 0.0236 memory: 17350 grad_norm: 8.9712 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0610 loss: 1.0610 2022/07/24 21:22:57 - mmengine - INFO - Epoch(train) [92][1420/3757] lr: 1.0000e-04 eta: 5:59:51 time: 0.6146 data_time: 0.0241 memory: 17350 grad_norm: 8.7110 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7343 loss: 0.7343 2022/07/24 21:23:12 - mmengine - INFO - Epoch(train) [92][1440/3757] lr: 1.0000e-04 eta: 5:59:38 time: 0.7243 data_time: 0.0219 memory: 17350 grad_norm: 8.9599 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9688 loss: 0.9688 2022/07/24 21:23:24 - mmengine - INFO - Epoch(train) [92][1460/3757] lr: 1.0000e-04 eta: 5:59:25 time: 0.5817 data_time: 0.0254 memory: 17350 grad_norm: 9.2032 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2055 loss: 1.2055 2022/07/24 21:23:38 - mmengine - INFO - Epoch(train) [92][1480/3757] lr: 1.0000e-04 eta: 5:59:12 time: 0.7432 data_time: 0.0223 memory: 17350 grad_norm: 9.5831 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0807 loss: 1.0807 2022/07/24 21:23:51 - mmengine - INFO - Epoch(train) [92][1500/3757] lr: 1.0000e-04 eta: 5:58:58 time: 0.6274 data_time: 0.0217 memory: 17350 grad_norm: 9.0891 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9010 loss: 0.9010 2022/07/24 21:24:04 - mmengine - INFO - Epoch(train) [92][1520/3757] lr: 1.0000e-04 eta: 5:58:45 time: 0.6544 data_time: 0.0220 memory: 17350 grad_norm: 8.7366 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8447 loss: 0.8447 2022/07/24 21:24:18 - mmengine - INFO - Epoch(train) [92][1540/3757] lr: 1.0000e-04 eta: 5:58:32 time: 0.7098 data_time: 0.0248 memory: 17350 grad_norm: 9.2583 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8609 loss: 0.8609 2022/07/24 21:24:31 - mmengine - INFO - Epoch(train) [92][1560/3757] lr: 1.0000e-04 eta: 5:58:18 time: 0.6225 data_time: 0.0243 memory: 17350 grad_norm: 8.5635 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0167 loss: 1.0167 2022/07/24 21:24:45 - mmengine - INFO - Epoch(train) [92][1580/3757] lr: 1.0000e-04 eta: 5:58:05 time: 0.7236 data_time: 0.0218 memory: 17350 grad_norm: 8.8643 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8276 loss: 0.8276 2022/07/24 21:24:58 - mmengine - INFO - Epoch(train) [92][1600/3757] lr: 1.0000e-04 eta: 5:57:51 time: 0.6245 data_time: 0.0230 memory: 17350 grad_norm: 9.1196 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.8297 loss: 0.8297 2022/07/24 21:25:12 - mmengine - INFO - Epoch(train) [92][1620/3757] lr: 1.0000e-04 eta: 5:57:38 time: 0.6984 data_time: 0.0224 memory: 17350 grad_norm: 8.9039 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0107 loss: 1.0107 2022/07/24 21:25:25 - mmengine - INFO - Epoch(train) [92][1640/3757] lr: 1.0000e-04 eta: 5:57:25 time: 0.6514 data_time: 0.0242 memory: 17350 grad_norm: 8.6781 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7334 loss: 0.7334 2022/07/24 21:25:39 - mmengine - INFO - Epoch(train) [92][1660/3757] lr: 1.0000e-04 eta: 5:57:12 time: 0.7277 data_time: 0.0221 memory: 17350 grad_norm: 8.6933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8818 loss: 0.8818 2022/07/24 21:25:51 - mmengine - INFO - Epoch(train) [92][1680/3757] lr: 1.0000e-04 eta: 5:56:58 time: 0.5680 data_time: 0.0228 memory: 17350 grad_norm: 8.6061 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1425 loss: 1.1425 2022/07/24 21:26:05 - mmengine - INFO - Epoch(train) [92][1700/3757] lr: 1.0000e-04 eta: 5:56:45 time: 0.7066 data_time: 0.0231 memory: 17350 grad_norm: 8.6759 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1501 loss: 1.1501 2022/07/24 21:26:17 - mmengine - INFO - Epoch(train) [92][1720/3757] lr: 1.0000e-04 eta: 5:56:31 time: 0.5934 data_time: 0.0241 memory: 17350 grad_norm: 9.1604 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0495 loss: 1.0495 2022/07/24 21:26:32 - mmengine - INFO - Epoch(train) [92][1740/3757] lr: 1.0000e-04 eta: 5:56:18 time: 0.7315 data_time: 0.0226 memory: 17350 grad_norm: 8.5247 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9955 loss: 0.9955 2022/07/24 21:26:44 - mmengine - INFO - Epoch(train) [92][1760/3757] lr: 1.0000e-04 eta: 5:56:05 time: 0.6118 data_time: 0.0236 memory: 17350 grad_norm: 8.8592 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1020 loss: 1.1020 2022/07/24 21:26:58 - mmengine - INFO - Epoch(train) [92][1780/3757] lr: 1.0000e-04 eta: 5:55:52 time: 0.7277 data_time: 0.0245 memory: 17350 grad_norm: 9.0538 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8582 loss: 0.8582 2022/07/24 21:27:10 - mmengine - INFO - Epoch(train) [92][1800/3757] lr: 1.0000e-04 eta: 5:55:38 time: 0.6016 data_time: 0.0224 memory: 17350 grad_norm: 8.5985 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8875 loss: 0.8875 2022/07/24 21:27:24 - mmengine - INFO - Epoch(train) [92][1820/3757] lr: 1.0000e-04 eta: 5:55:25 time: 0.7005 data_time: 0.0237 memory: 17350 grad_norm: 9.0620 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0375 loss: 1.0375 2022/07/24 21:27:36 - mmengine - INFO - Epoch(train) [92][1840/3757] lr: 1.0000e-04 eta: 5:55:11 time: 0.5768 data_time: 0.0237 memory: 17350 grad_norm: 9.0075 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2764 loss: 1.2764 2022/07/24 21:27:50 - mmengine - INFO - Epoch(train) [92][1860/3757] lr: 1.0000e-04 eta: 5:54:58 time: 0.7050 data_time: 0.0225 memory: 17350 grad_norm: 9.2304 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8819 loss: 0.8819 2022/07/24 21:28:02 - mmengine - INFO - Epoch(train) [92][1880/3757] lr: 1.0000e-04 eta: 5:54:45 time: 0.6061 data_time: 0.0240 memory: 17350 grad_norm: 8.8870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9242 loss: 0.9242 2022/07/24 21:28:17 - mmengine - INFO - Epoch(train) [92][1900/3757] lr: 1.0000e-04 eta: 5:54:31 time: 0.7586 data_time: 0.0245 memory: 17350 grad_norm: 8.8243 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0334 loss: 1.0334 2022/07/24 21:28:29 - mmengine - INFO - Epoch(train) [92][1920/3757] lr: 1.0000e-04 eta: 5:54:18 time: 0.5828 data_time: 0.0221 memory: 17350 grad_norm: 8.8375 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0521 loss: 1.0521 2022/07/24 21:28:44 - mmengine - INFO - Epoch(train) [92][1940/3757] lr: 1.0000e-04 eta: 5:54:05 time: 0.7355 data_time: 0.0941 memory: 17350 grad_norm: 9.2317 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1179 loss: 1.1179 2022/07/24 21:28:56 - mmengine - INFO - Epoch(train) [92][1960/3757] lr: 1.0000e-04 eta: 5:53:51 time: 0.6030 data_time: 0.0937 memory: 17350 grad_norm: 8.5648 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9448 loss: 0.9448 2022/07/24 21:29:10 - mmengine - INFO - Epoch(train) [92][1980/3757] lr: 1.0000e-04 eta: 5:53:38 time: 0.7243 data_time: 0.1650 memory: 17350 grad_norm: 8.8458 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7711 loss: 0.7711 2022/07/24 21:29:23 - mmengine - INFO - Epoch(train) [92][2000/3757] lr: 1.0000e-04 eta: 5:53:25 time: 0.6040 data_time: 0.1096 memory: 17350 grad_norm: 9.0160 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9419 loss: 0.9419 2022/07/24 21:29:37 - mmengine - INFO - Epoch(train) [92][2020/3757] lr: 1.0000e-04 eta: 5:53:11 time: 0.7029 data_time: 0.0685 memory: 17350 grad_norm: 8.7435 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8986 loss: 0.8986 2022/07/24 21:29:49 - mmengine - INFO - Epoch(train) [92][2040/3757] lr: 1.0000e-04 eta: 5:52:58 time: 0.6057 data_time: 0.0829 memory: 17350 grad_norm: 8.9567 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8911 loss: 0.8911 2022/07/24 21:30:03 - mmengine - INFO - Epoch(train) [92][2060/3757] lr: 1.0000e-04 eta: 5:52:45 time: 0.6874 data_time: 0.0523 memory: 17350 grad_norm: 8.7512 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6505 loss: 0.6505 2022/07/24 21:30:16 - mmengine - INFO - Epoch(train) [92][2080/3757] lr: 1.0000e-04 eta: 5:52:31 time: 0.6510 data_time: 0.0698 memory: 17350 grad_norm: 8.9456 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.9551 loss: 0.9551 2022/07/24 21:30:30 - mmengine - INFO - Epoch(train) [92][2100/3757] lr: 1.0000e-04 eta: 5:52:18 time: 0.7213 data_time: 0.0231 memory: 17350 grad_norm: 9.4560 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0236 loss: 1.0236 2022/07/24 21:30:39 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 21:30:43 - mmengine - INFO - Epoch(train) [92][2120/3757] lr: 1.0000e-04 eta: 5:52:05 time: 0.6378 data_time: 0.0285 memory: 17350 grad_norm: 9.1311 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9321 loss: 0.9321 2022/07/24 21:30:57 - mmengine - INFO - Epoch(train) [92][2140/3757] lr: 1.0000e-04 eta: 5:51:51 time: 0.7178 data_time: 0.0220 memory: 17350 grad_norm: 9.0290 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9223 loss: 0.9223 2022/07/24 21:31:10 - mmengine - INFO - Epoch(train) [92][2160/3757] lr: 1.0000e-04 eta: 5:51:38 time: 0.6233 data_time: 0.0224 memory: 17350 grad_norm: 8.8774 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8649 loss: 0.8649 2022/07/24 21:31:24 - mmengine - INFO - Epoch(train) [92][2180/3757] lr: 1.0000e-04 eta: 5:51:25 time: 0.7123 data_time: 0.0217 memory: 17350 grad_norm: 8.4548 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8825 loss: 0.8825 2022/07/24 21:31:36 - mmengine - INFO - Epoch(train) [92][2200/3757] lr: 1.0000e-04 eta: 5:51:11 time: 0.5805 data_time: 0.0241 memory: 17350 grad_norm: 9.0261 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0263 loss: 1.0263 2022/07/24 21:31:51 - mmengine - INFO - Epoch(train) [92][2220/3757] lr: 1.0000e-04 eta: 5:50:58 time: 0.7614 data_time: 0.0219 memory: 17350 grad_norm: 8.6928 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8449 loss: 0.8449 2022/07/24 21:32:03 - mmengine - INFO - Epoch(train) [92][2240/3757] lr: 1.0000e-04 eta: 5:50:45 time: 0.6152 data_time: 0.0228 memory: 17350 grad_norm: 8.7490 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0133 loss: 1.0133 2022/07/24 21:32:18 - mmengine - INFO - Epoch(train) [92][2260/3757] lr: 1.0000e-04 eta: 5:50:31 time: 0.7234 data_time: 0.0570 memory: 17350 grad_norm: 8.7457 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7435 loss: 0.7435 2022/07/24 21:32:29 - mmengine - INFO - Epoch(train) [92][2280/3757] lr: 1.0000e-04 eta: 5:50:18 time: 0.5944 data_time: 0.0225 memory: 17350 grad_norm: 8.8132 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0511 loss: 1.0511 2022/07/24 21:32:43 - mmengine - INFO - Epoch(train) [92][2300/3757] lr: 1.0000e-04 eta: 5:50:05 time: 0.6860 data_time: 0.0365 memory: 17350 grad_norm: 8.8954 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0166 loss: 1.0166 2022/07/24 21:32:55 - mmengine - INFO - Epoch(train) [92][2320/3757] lr: 1.0000e-04 eta: 5:49:51 time: 0.5737 data_time: 0.0220 memory: 17350 grad_norm: 9.0934 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0067 loss: 1.0067 2022/07/24 21:33:09 - mmengine - INFO - Epoch(train) [92][2340/3757] lr: 1.0000e-04 eta: 5:49:38 time: 0.7371 data_time: 0.0225 memory: 17350 grad_norm: 8.9890 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0262 loss: 1.0262 2022/07/24 21:33:21 - mmengine - INFO - Epoch(train) [92][2360/3757] lr: 1.0000e-04 eta: 5:49:25 time: 0.5820 data_time: 0.0218 memory: 17350 grad_norm: 8.7357 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8986 loss: 0.8986 2022/07/24 21:33:36 - mmengine - INFO - Epoch(train) [92][2380/3757] lr: 1.0000e-04 eta: 5:49:11 time: 0.7518 data_time: 0.0227 memory: 17350 grad_norm: 9.0145 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9148 loss: 0.9148 2022/07/24 21:33:48 - mmengine - INFO - Epoch(train) [92][2400/3757] lr: 1.0000e-04 eta: 5:48:58 time: 0.5966 data_time: 0.0220 memory: 17350 grad_norm: 9.1207 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8646 loss: 0.8646 2022/07/24 21:34:02 - mmengine - INFO - Epoch(train) [92][2420/3757] lr: 1.0000e-04 eta: 5:48:45 time: 0.7003 data_time: 0.0215 memory: 17350 grad_norm: 8.8398 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9642 loss: 0.9642 2022/07/24 21:34:14 - mmengine - INFO - Epoch(train) [92][2440/3757] lr: 1.0000e-04 eta: 5:48:31 time: 0.6005 data_time: 0.0357 memory: 17350 grad_norm: 8.8607 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1687 loss: 1.1687 2022/07/24 21:34:29 - mmengine - INFO - Epoch(train) [92][2460/3757] lr: 1.0000e-04 eta: 5:48:18 time: 0.7219 data_time: 0.0263 memory: 17350 grad_norm: 9.3444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0373 loss: 1.0373 2022/07/24 21:34:42 - mmengine - INFO - Epoch(train) [92][2480/3757] lr: 1.0000e-04 eta: 5:48:05 time: 0.6692 data_time: 0.0336 memory: 17350 grad_norm: 8.9072 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8914 loss: 0.8914 2022/07/24 21:34:55 - mmengine - INFO - Epoch(train) [92][2500/3757] lr: 1.0000e-04 eta: 5:47:51 time: 0.6265 data_time: 0.0250 memory: 17350 grad_norm: 8.7971 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8545 loss: 0.8545 2022/07/24 21:35:09 - mmengine - INFO - Epoch(train) [92][2520/3757] lr: 1.0000e-04 eta: 5:47:38 time: 0.7334 data_time: 0.0239 memory: 17350 grad_norm: 8.5820 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8412 loss: 0.8412 2022/07/24 21:35:22 - mmengine - INFO - Epoch(train) [92][2540/3757] lr: 1.0000e-04 eta: 5:47:25 time: 0.6215 data_time: 0.0231 memory: 17350 grad_norm: 8.9064 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0657 loss: 1.0657 2022/07/24 21:35:36 - mmengine - INFO - Epoch(train) [92][2560/3757] lr: 1.0000e-04 eta: 5:47:11 time: 0.6986 data_time: 0.0219 memory: 17350 grad_norm: 8.5682 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9329 loss: 0.9329 2022/07/24 21:35:48 - mmengine - INFO - Epoch(train) [92][2580/3757] lr: 1.0000e-04 eta: 5:46:58 time: 0.6286 data_time: 0.0232 memory: 17350 grad_norm: 9.1832 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0608 loss: 1.0608 2022/07/24 21:36:03 - mmengine - INFO - Epoch(train) [92][2600/3757] lr: 1.0000e-04 eta: 5:46:45 time: 0.7061 data_time: 0.0211 memory: 17350 grad_norm: 8.6823 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8802 loss: 0.8802 2022/07/24 21:36:15 - mmengine - INFO - Epoch(train) [92][2620/3757] lr: 1.0000e-04 eta: 5:46:31 time: 0.6236 data_time: 0.0232 memory: 17350 grad_norm: 9.2110 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7590 loss: 0.7590 2022/07/24 21:36:29 - mmengine - INFO - Epoch(train) [92][2640/3757] lr: 1.0000e-04 eta: 5:46:18 time: 0.6853 data_time: 0.0246 memory: 17350 grad_norm: 8.6636 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9163 loss: 0.9163 2022/07/24 21:36:41 - mmengine - INFO - Epoch(train) [92][2660/3757] lr: 1.0000e-04 eta: 5:46:04 time: 0.5930 data_time: 0.0231 memory: 17350 grad_norm: 8.9565 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7984 loss: 0.7984 2022/07/24 21:36:55 - mmengine - INFO - Epoch(train) [92][2680/3757] lr: 1.0000e-04 eta: 5:45:51 time: 0.7133 data_time: 0.0252 memory: 17350 grad_norm: 9.0102 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0230 loss: 1.0230 2022/07/24 21:37:08 - mmengine - INFO - Epoch(train) [92][2700/3757] lr: 1.0000e-04 eta: 5:45:38 time: 0.6548 data_time: 0.0258 memory: 17350 grad_norm: 8.7281 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8976 loss: 0.8976 2022/07/24 21:37:22 - mmengine - INFO - Epoch(train) [92][2720/3757] lr: 1.0000e-04 eta: 5:45:25 time: 0.6871 data_time: 0.0215 memory: 17350 grad_norm: 9.1603 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8668 loss: 0.8668 2022/07/24 21:37:34 - mmengine - INFO - Epoch(train) [92][2740/3757] lr: 1.0000e-04 eta: 5:45:11 time: 0.5907 data_time: 0.0245 memory: 17350 grad_norm: 9.3168 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8462 loss: 0.8462 2022/07/24 21:37:48 - mmengine - INFO - Epoch(train) [92][2760/3757] lr: 1.0000e-04 eta: 5:44:58 time: 0.6963 data_time: 0.0340 memory: 17350 grad_norm: 8.8254 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8305 loss: 0.8305 2022/07/24 21:38:00 - mmengine - INFO - Epoch(train) [92][2780/3757] lr: 1.0000e-04 eta: 5:44:44 time: 0.6000 data_time: 0.0707 memory: 17350 grad_norm: 9.0947 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0031 loss: 1.0031 2022/07/24 21:38:14 - mmengine - INFO - Epoch(train) [92][2800/3757] lr: 1.0000e-04 eta: 5:44:31 time: 0.7111 data_time: 0.0308 memory: 17350 grad_norm: 9.1871 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9811 loss: 0.9811 2022/07/24 21:38:27 - mmengine - INFO - Epoch(train) [92][2820/3757] lr: 1.0000e-04 eta: 5:44:18 time: 0.6459 data_time: 0.0235 memory: 17350 grad_norm: 9.4172 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0271 loss: 1.0271 2022/07/24 21:38:39 - mmengine - INFO - Epoch(train) [92][2840/3757] lr: 1.0000e-04 eta: 5:44:04 time: 0.6190 data_time: 0.0230 memory: 17350 grad_norm: 9.2155 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2307 loss: 1.2307 2022/07/24 21:38:53 - mmengine - INFO - Epoch(train) [92][2860/3757] lr: 1.0000e-04 eta: 5:43:51 time: 0.6888 data_time: 0.0212 memory: 17350 grad_norm: 9.0698 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9216 loss: 0.9216 2022/07/24 21:39:06 - mmengine - INFO - Epoch(train) [92][2880/3757] lr: 1.0000e-04 eta: 5:43:38 time: 0.6403 data_time: 0.0222 memory: 17350 grad_norm: 8.7585 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1258 loss: 1.1258 2022/07/24 21:39:19 - mmengine - INFO - Epoch(train) [92][2900/3757] lr: 1.0000e-04 eta: 5:43:24 time: 0.6728 data_time: 0.0256 memory: 17350 grad_norm: 8.8213 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9849 loss: 0.9849 2022/07/24 21:39:33 - mmengine - INFO - Epoch(train) [92][2920/3757] lr: 1.0000e-04 eta: 5:43:11 time: 0.7027 data_time: 0.0222 memory: 17350 grad_norm: 8.8343 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9890 loss: 0.9890 2022/07/24 21:39:46 - mmengine - INFO - Epoch(train) [92][2940/3757] lr: 1.0000e-04 eta: 5:42:58 time: 0.6389 data_time: 0.0247 memory: 17350 grad_norm: 9.0681 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9382 loss: 0.9382 2022/07/24 21:40:00 - mmengine - INFO - Epoch(train) [92][2960/3757] lr: 1.0000e-04 eta: 5:42:44 time: 0.7173 data_time: 0.0285 memory: 17350 grad_norm: 8.8355 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9793 loss: 0.9793 2022/07/24 21:40:13 - mmengine - INFO - Epoch(train) [92][2980/3757] lr: 1.0000e-04 eta: 5:42:31 time: 0.6271 data_time: 0.0239 memory: 17350 grad_norm: 8.8949 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7759 loss: 0.7759 2022/07/24 21:40:28 - mmengine - INFO - Epoch(train) [92][3000/3757] lr: 1.0000e-04 eta: 5:42:18 time: 0.7698 data_time: 0.0221 memory: 17350 grad_norm: 9.0740 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9621 loss: 0.9621 2022/07/24 21:40:40 - mmengine - INFO - Epoch(train) [92][3020/3757] lr: 1.0000e-04 eta: 5:42:04 time: 0.5916 data_time: 0.0237 memory: 17350 grad_norm: 8.8007 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9505 loss: 0.9505 2022/07/24 21:40:55 - mmengine - INFO - Epoch(train) [92][3040/3757] lr: 1.0000e-04 eta: 5:41:51 time: 0.7090 data_time: 0.0215 memory: 17350 grad_norm: 8.7380 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0344 loss: 1.0344 2022/07/24 21:41:08 - mmengine - INFO - Epoch(train) [92][3060/3757] lr: 1.0000e-04 eta: 5:41:38 time: 0.6517 data_time: 0.0237 memory: 17350 grad_norm: 9.0184 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1486 loss: 1.1486 2022/07/24 21:41:20 - mmengine - INFO - Epoch(train) [92][3080/3757] lr: 1.0000e-04 eta: 5:41:24 time: 0.6185 data_time: 0.0240 memory: 17350 grad_norm: 9.5043 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0760 loss: 1.0760 2022/07/24 21:41:34 - mmengine - INFO - Epoch(train) [92][3100/3757] lr: 1.0000e-04 eta: 5:41:11 time: 0.6798 data_time: 0.0227 memory: 17350 grad_norm: 8.8496 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0320 loss: 1.0320 2022/07/24 21:41:41 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 21:41:47 - mmengine - INFO - Epoch(train) [92][3120/3757] lr: 1.0000e-04 eta: 5:40:58 time: 0.6484 data_time: 0.0225 memory: 17350 grad_norm: 8.7500 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7734 loss: 0.7734 2022/07/24 21:42:00 - mmengine - INFO - Epoch(train) [92][3140/3757] lr: 1.0000e-04 eta: 5:40:44 time: 0.6578 data_time: 0.0225 memory: 17350 grad_norm: 9.2214 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1894 loss: 1.1894 2022/07/24 21:42:14 - mmengine - INFO - Epoch(train) [92][3160/3757] lr: 1.0000e-04 eta: 5:40:31 time: 0.7061 data_time: 0.0228 memory: 17350 grad_norm: 8.8343 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9005 loss: 0.9005 2022/07/24 21:42:26 - mmengine - INFO - Epoch(train) [92][3180/3757] lr: 1.0000e-04 eta: 5:40:18 time: 0.6140 data_time: 0.0236 memory: 17350 grad_norm: 9.0439 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0551 loss: 1.0551 2022/07/24 21:42:40 - mmengine - INFO - Epoch(train) [92][3200/3757] lr: 1.0000e-04 eta: 5:40:04 time: 0.7025 data_time: 0.0222 memory: 17350 grad_norm: 9.2622 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9125 loss: 0.9125 2022/07/24 21:42:53 - mmengine - INFO - Epoch(train) [92][3220/3757] lr: 1.0000e-04 eta: 5:39:51 time: 0.6533 data_time: 0.0234 memory: 17350 grad_norm: 8.7862 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2039 loss: 1.2039 2022/07/24 21:43:06 - mmengine - INFO - Epoch(train) [92][3240/3757] lr: 1.0000e-04 eta: 5:39:38 time: 0.6440 data_time: 0.0262 memory: 17350 grad_norm: 9.1469 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9906 loss: 0.9906 2022/07/24 21:43:20 - mmengine - INFO - Epoch(train) [92][3260/3757] lr: 1.0000e-04 eta: 5:39:24 time: 0.6868 data_time: 0.0236 memory: 17350 grad_norm: 9.1094 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7939 loss: 0.7939 2022/07/24 21:43:32 - mmengine - INFO - Epoch(train) [92][3280/3757] lr: 1.0000e-04 eta: 5:39:11 time: 0.6063 data_time: 0.0242 memory: 17350 grad_norm: 9.0785 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0657 loss: 1.0657 2022/07/24 21:43:46 - mmengine - INFO - Epoch(train) [92][3300/3757] lr: 1.0000e-04 eta: 5:38:58 time: 0.6847 data_time: 0.0252 memory: 17350 grad_norm: 8.6698 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9377 loss: 0.9377 2022/07/24 21:43:59 - mmengine - INFO - Epoch(train) [92][3320/3757] lr: 1.0000e-04 eta: 5:38:44 time: 0.6395 data_time: 0.0233 memory: 17350 grad_norm: 8.8354 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8359 loss: 0.8359 2022/07/24 21:44:13 - mmengine - INFO - Epoch(train) [92][3340/3757] lr: 1.0000e-04 eta: 5:38:31 time: 0.6973 data_time: 0.0399 memory: 17350 grad_norm: 9.5390 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9995 loss: 0.9995 2022/07/24 21:44:26 - mmengine - INFO - Epoch(train) [92][3360/3757] lr: 1.0000e-04 eta: 5:38:18 time: 0.6531 data_time: 0.0277 memory: 17350 grad_norm: 9.0248 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9456 loss: 0.9456 2022/07/24 21:44:39 - mmengine - INFO - Epoch(train) [92][3380/3757] lr: 1.0000e-04 eta: 5:38:04 time: 0.6648 data_time: 0.0238 memory: 17350 grad_norm: 9.1166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9770 loss: 0.9770 2022/07/24 21:44:52 - mmengine - INFO - Epoch(train) [92][3400/3757] lr: 1.0000e-04 eta: 5:37:51 time: 0.6647 data_time: 0.0394 memory: 17350 grad_norm: 8.9535 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0351 loss: 1.0351 2022/07/24 21:45:06 - mmengine - INFO - Epoch(train) [92][3420/3757] lr: 1.0000e-04 eta: 5:37:38 time: 0.7067 data_time: 0.0224 memory: 17350 grad_norm: 8.9091 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0374 loss: 1.0374 2022/07/24 21:45:19 - mmengine - INFO - Epoch(train) [92][3440/3757] lr: 1.0000e-04 eta: 5:37:24 time: 0.6443 data_time: 0.0237 memory: 17350 grad_norm: 9.1178 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0378 loss: 1.0378 2022/07/24 21:45:34 - mmengine - INFO - Epoch(train) [92][3460/3757] lr: 1.0000e-04 eta: 5:37:11 time: 0.7157 data_time: 0.0223 memory: 17350 grad_norm: 8.6419 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1076 loss: 1.1076 2022/07/24 21:45:47 - mmengine - INFO - Epoch(train) [92][3480/3757] lr: 1.0000e-04 eta: 5:36:58 time: 0.6437 data_time: 0.0247 memory: 17350 grad_norm: 9.2103 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9292 loss: 0.9292 2022/07/24 21:46:00 - mmengine - INFO - Epoch(train) [92][3500/3757] lr: 1.0000e-04 eta: 5:36:44 time: 0.6587 data_time: 0.0237 memory: 17350 grad_norm: 9.2197 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9192 loss: 0.9192 2022/07/24 21:46:13 - mmengine - INFO - Epoch(train) [92][3520/3757] lr: 1.0000e-04 eta: 5:36:31 time: 0.6474 data_time: 0.0228 memory: 17350 grad_norm: 8.5310 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6666 loss: 0.6666 2022/07/24 21:46:27 - mmengine - INFO - Epoch(train) [92][3540/3757] lr: 1.0000e-04 eta: 5:36:18 time: 0.6966 data_time: 0.0239 memory: 17350 grad_norm: 9.1576 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9819 loss: 0.9819 2022/07/24 21:46:38 - mmengine - INFO - Epoch(train) [92][3560/3757] lr: 1.0000e-04 eta: 5:36:04 time: 0.5799 data_time: 0.0230 memory: 17350 grad_norm: 9.1547 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1583 loss: 1.1583 2022/07/24 21:46:52 - mmengine - INFO - Epoch(train) [92][3580/3757] lr: 1.0000e-04 eta: 5:35:51 time: 0.6985 data_time: 0.0220 memory: 17350 grad_norm: 9.0165 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8812 loss: 0.8812 2022/07/24 21:47:05 - mmengine - INFO - Epoch(train) [92][3600/3757] lr: 1.0000e-04 eta: 5:35:38 time: 0.6563 data_time: 0.0235 memory: 17350 grad_norm: 9.0872 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9405 loss: 0.9405 2022/07/24 21:47:20 - mmengine - INFO - Epoch(train) [92][3620/3757] lr: 1.0000e-04 eta: 5:35:24 time: 0.7091 data_time: 0.0236 memory: 17350 grad_norm: 9.0553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8813 loss: 0.8813 2022/07/24 21:47:31 - mmengine - INFO - Epoch(train) [92][3640/3757] lr: 1.0000e-04 eta: 5:35:11 time: 0.5814 data_time: 0.0226 memory: 17350 grad_norm: 9.2849 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0595 loss: 1.0595 2022/07/24 21:47:46 - mmengine - INFO - Epoch(train) [92][3660/3757] lr: 1.0000e-04 eta: 5:34:58 time: 0.7358 data_time: 0.0244 memory: 17350 grad_norm: 9.4104 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1391 loss: 1.1391 2022/07/24 21:47:57 - mmengine - INFO - Epoch(train) [92][3680/3757] lr: 1.0000e-04 eta: 5:34:44 time: 0.5682 data_time: 0.0223 memory: 17350 grad_norm: 9.1254 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9927 loss: 0.9927 2022/07/24 21:48:11 - mmengine - INFO - Epoch(train) [92][3700/3757] lr: 1.0000e-04 eta: 5:34:31 time: 0.6643 data_time: 0.0227 memory: 17350 grad_norm: 8.8964 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1886 loss: 1.1886 2022/07/24 21:48:23 - mmengine - INFO - Epoch(train) [92][3720/3757] lr: 1.0000e-04 eta: 5:34:17 time: 0.5982 data_time: 0.0232 memory: 17350 grad_norm: 9.1510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0157 loss: 1.0157 2022/07/24 21:48:37 - mmengine - INFO - Epoch(train) [92][3740/3757] lr: 1.0000e-04 eta: 5:34:04 time: 0.6970 data_time: 0.0174 memory: 17350 grad_norm: 8.9221 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0749 loss: 1.0749 2022/07/24 21:48:45 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 21:48:45 - mmengine - INFO - Epoch(train) [92][3757/3757] lr: 1.0000e-04 eta: 5:34:04 time: 0.4757 data_time: 0.0231 memory: 17350 grad_norm: 8.7818 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 0.8744 loss: 0.8744 2022/07/24 21:49:01 - mmengine - INFO - Epoch(val) [92][20/310] eta: 0:03:55 time: 0.8110 data_time: 0.6970 memory: 3406 2022/07/24 21:49:13 - mmengine - INFO - Epoch(val) [92][40/310] eta: 0:02:32 time: 0.5636 data_time: 0.4485 memory: 3406 2022/07/24 21:49:28 - mmengine - INFO - Epoch(val) [92][60/310] eta: 0:03:09 time: 0.7573 data_time: 0.6446 memory: 3406 2022/07/24 21:49:39 - mmengine - INFO - Epoch(val) [92][80/310] eta: 0:02:08 time: 0.5570 data_time: 0.4455 memory: 3406 2022/07/24 21:49:54 - mmengine - INFO - Epoch(val) [92][100/310] eta: 0:02:36 time: 0.7459 data_time: 0.6333 memory: 3406 2022/07/24 21:50:06 - mmengine - INFO - Epoch(val) [92][120/310] eta: 0:01:50 time: 0.5801 data_time: 0.4644 memory: 3406 2022/07/24 21:50:20 - mmengine - INFO - Epoch(val) [92][140/310] eta: 0:02:02 time: 0.7178 data_time: 0.6035 memory: 3406 2022/07/24 21:50:32 - mmengine - INFO - Epoch(val) [92][160/310] eta: 0:01:29 time: 0.6000 data_time: 0.4859 memory: 3406 2022/07/24 21:50:46 - mmengine - INFO - Epoch(val) [92][180/310] eta: 0:01:30 time: 0.6976 data_time: 0.5863 memory: 3406 2022/07/24 21:50:59 - mmengine - INFO - Epoch(val) [92][200/310] eta: 0:01:09 time: 0.6357 data_time: 0.5233 memory: 3406 2022/07/24 21:51:12 - mmengine - INFO - Epoch(val) [92][220/310] eta: 0:01:02 time: 0.6894 data_time: 0.5755 memory: 3406 2022/07/24 21:51:25 - mmengine - INFO - Epoch(val) [92][240/310] eta: 0:00:43 time: 0.6280 data_time: 0.5160 memory: 3406 2022/07/24 21:51:39 - mmengine - INFO - Epoch(val) [92][260/310] eta: 0:00:34 time: 0.6832 data_time: 0.5701 memory: 3406 2022/07/24 21:51:51 - mmengine - INFO - Epoch(val) [92][280/310] eta: 0:00:18 time: 0.6055 data_time: 0.4921 memory: 3406 2022/07/24 21:52:05 - mmengine - INFO - Epoch(val) [92][300/310] eta: 0:00:07 time: 0.7202 data_time: 0.6052 memory: 3406 2022/07/24 21:52:11 - mmengine - INFO - Epoch(val) [92][310/310] acc/top1: 0.6916 acc/top5: 0.8800 acc/mean1: 0.6915 2022/07/24 21:52:12 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_90.pth is removed 2022/07/24 21:52:14 - mmengine - INFO - The best checkpoint with 0.6916 acc/top1 at 93 epoch is saved to best_acc/top1_epoch_93.pth. 2022/07/24 21:52:31 - mmengine - INFO - Epoch(train) [93][20/3757] lr: 1.0000e-04 eta: 5:33:39 time: 0.8452 data_time: 0.5078 memory: 17350 grad_norm: 9.0021 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0893 loss: 1.0893 2022/07/24 21:52:43 - mmengine - INFO - Epoch(train) [93][40/3757] lr: 1.0000e-04 eta: 5:33:25 time: 0.5894 data_time: 0.2489 memory: 17350 grad_norm: 8.7687 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1025 loss: 1.1025 2022/07/24 21:52:57 - mmengine - INFO - Epoch(train) [93][60/3757] lr: 1.0000e-04 eta: 5:33:12 time: 0.7137 data_time: 0.3795 memory: 17350 grad_norm: 8.9722 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2461 loss: 1.2461 2022/07/24 21:53:09 - mmengine - INFO - Epoch(train) [93][80/3757] lr: 1.0000e-04 eta: 5:32:59 time: 0.5987 data_time: 0.2698 memory: 17350 grad_norm: 9.2827 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9194 loss: 0.9194 2022/07/24 21:53:24 - mmengine - INFO - Epoch(train) [93][100/3757] lr: 1.0000e-04 eta: 5:32:46 time: 0.7525 data_time: 0.4246 memory: 17350 grad_norm: 8.6536 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0295 loss: 1.0295 2022/07/24 21:53:36 - mmengine - INFO - Epoch(train) [93][120/3757] lr: 1.0000e-04 eta: 5:32:32 time: 0.5763 data_time: 0.2511 memory: 17350 grad_norm: 9.1332 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0920 loss: 1.0920 2022/07/24 21:53:50 - mmengine - INFO - Epoch(train) [93][140/3757] lr: 1.0000e-04 eta: 5:32:19 time: 0.7177 data_time: 0.3817 memory: 17350 grad_norm: 9.1990 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0612 loss: 1.0612 2022/07/24 21:54:03 - mmengine - INFO - Epoch(train) [93][160/3757] lr: 1.0000e-04 eta: 5:32:05 time: 0.6687 data_time: 0.3366 memory: 17350 grad_norm: 8.8914 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0611 loss: 1.0611 2022/07/24 21:54:16 - mmengine - INFO - Epoch(train) [93][180/3757] lr: 1.0000e-04 eta: 5:31:52 time: 0.6139 data_time: 0.2869 memory: 17350 grad_norm: 8.5964 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9548 loss: 0.9548 2022/07/24 21:54:30 - mmengine - INFO - Epoch(train) [93][200/3757] lr: 1.0000e-04 eta: 5:31:39 time: 0.7209 data_time: 0.3935 memory: 17350 grad_norm: 9.0067 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1876 loss: 1.1876 2022/07/24 21:54:43 - mmengine - INFO - Epoch(train) [93][220/3757] lr: 1.0000e-04 eta: 5:31:25 time: 0.6373 data_time: 0.3103 memory: 17350 grad_norm: 8.7448 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8664 loss: 0.8664 2022/07/24 21:54:56 - mmengine - INFO - Epoch(train) [93][240/3757] lr: 1.0000e-04 eta: 5:31:12 time: 0.6661 data_time: 0.3364 memory: 17350 grad_norm: 8.8367 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1199 loss: 1.1199 2022/07/24 21:55:11 - mmengine - INFO - Epoch(train) [93][260/3757] lr: 1.0000e-04 eta: 5:30:59 time: 0.7389 data_time: 0.4055 memory: 17350 grad_norm: 9.1130 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9971 loss: 0.9971 2022/07/24 21:55:24 - mmengine - INFO - Epoch(train) [93][280/3757] lr: 1.0000e-04 eta: 5:30:46 time: 0.6561 data_time: 0.3256 memory: 17350 grad_norm: 8.8359 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8627 loss: 0.8627 2022/07/24 21:55:37 - mmengine - INFO - Epoch(train) [93][300/3757] lr: 1.0000e-04 eta: 5:30:32 time: 0.6584 data_time: 0.3245 memory: 17350 grad_norm: 9.0585 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5899 loss: 1.5899 2022/07/24 21:55:51 - mmengine - INFO - Epoch(train) [93][320/3757] lr: 1.0000e-04 eta: 5:30:19 time: 0.6973 data_time: 0.3606 memory: 17350 grad_norm: 8.6771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9775 loss: 0.9775 2022/07/24 21:56:04 - mmengine - INFO - Epoch(train) [93][340/3757] lr: 1.0000e-04 eta: 5:30:06 time: 0.6337 data_time: 0.3044 memory: 17350 grad_norm: 8.9561 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7827 loss: 0.7827 2022/07/24 21:56:15 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 21:56:17 - mmengine - INFO - Epoch(train) [93][360/3757] lr: 1.0000e-04 eta: 5:29:52 time: 0.6300 data_time: 0.2985 memory: 17350 grad_norm: 9.0169 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0090 loss: 1.0090 2022/07/24 21:56:31 - mmengine - INFO - Epoch(train) [93][380/3757] lr: 1.0000e-04 eta: 5:29:39 time: 0.7052 data_time: 0.3705 memory: 17350 grad_norm: 9.0042 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1542 loss: 1.1542 2022/07/24 21:56:43 - mmengine - INFO - Epoch(train) [93][400/3757] lr: 1.0000e-04 eta: 5:29:25 time: 0.5926 data_time: 0.2534 memory: 17350 grad_norm: 9.2099 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9328 loss: 0.9328 2022/07/24 21:56:57 - mmengine - INFO - Epoch(train) [93][420/3757] lr: 1.0000e-04 eta: 5:29:12 time: 0.6952 data_time: 0.3571 memory: 17350 grad_norm: 8.7864 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0893 loss: 1.0893 2022/07/24 21:57:09 - mmengine - INFO - Epoch(train) [93][440/3757] lr: 1.0000e-04 eta: 5:28:59 time: 0.6390 data_time: 0.2968 memory: 17350 grad_norm: 8.5260 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1052 loss: 1.1052 2022/07/24 21:57:23 - mmengine - INFO - Epoch(train) [93][460/3757] lr: 1.0000e-04 eta: 5:28:45 time: 0.6950 data_time: 0.3543 memory: 17350 grad_norm: 8.8167 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8915 loss: 0.8915 2022/07/24 21:57:35 - mmengine - INFO - Epoch(train) [93][480/3757] lr: 1.0000e-04 eta: 5:28:32 time: 0.5985 data_time: 0.2642 memory: 17350 grad_norm: 9.0883 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0286 loss: 1.0286 2022/07/24 21:57:50 - mmengine - INFO - Epoch(train) [93][500/3757] lr: 1.0000e-04 eta: 5:28:19 time: 0.7259 data_time: 0.3891 memory: 17350 grad_norm: 8.7499 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6256 loss: 0.6256 2022/07/24 21:58:02 - mmengine - INFO - Epoch(train) [93][520/3757] lr: 1.0000e-04 eta: 5:28:05 time: 0.6078 data_time: 0.2532 memory: 17350 grad_norm: 9.3444 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1289 loss: 1.1289 2022/07/24 21:58:16 - mmengine - INFO - Epoch(train) [93][540/3757] lr: 1.0000e-04 eta: 5:27:52 time: 0.7235 data_time: 0.3620 memory: 17350 grad_norm: 9.3235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1896 loss: 1.1896 2022/07/24 21:58:28 - mmengine - INFO - Epoch(train) [93][560/3757] lr: 1.0000e-04 eta: 5:27:39 time: 0.5926 data_time: 0.2585 memory: 17350 grad_norm: 8.9558 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9886 loss: 0.9886 2022/07/24 21:58:43 - mmengine - INFO - Epoch(train) [93][580/3757] lr: 1.0000e-04 eta: 5:27:25 time: 0.7287 data_time: 0.3890 memory: 17350 grad_norm: 8.7409 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0364 loss: 1.0364 2022/07/24 21:58:55 - mmengine - INFO - Epoch(train) [93][600/3757] lr: 1.0000e-04 eta: 5:27:12 time: 0.6213 data_time: 0.2507 memory: 17350 grad_norm: 8.4928 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9186 loss: 0.9186 2022/07/24 21:59:09 - mmengine - INFO - Epoch(train) [93][620/3757] lr: 1.0000e-04 eta: 5:26:59 time: 0.6756 data_time: 0.3021 memory: 17350 grad_norm: 8.8156 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7778 loss: 0.7778 2022/07/24 21:59:21 - mmengine - INFO - Epoch(train) [93][640/3757] lr: 1.0000e-04 eta: 5:26:45 time: 0.6215 data_time: 0.2617 memory: 17350 grad_norm: 9.0565 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7170 loss: 0.7170 2022/07/24 21:59:36 - mmengine - INFO - Epoch(train) [93][660/3757] lr: 1.0000e-04 eta: 5:26:32 time: 0.7251 data_time: 0.3488 memory: 17350 grad_norm: 9.1699 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1602 loss: 1.1602 2022/07/24 21:59:49 - mmengine - INFO - Epoch(train) [93][680/3757] lr: 1.0000e-04 eta: 5:26:19 time: 0.6580 data_time: 0.2190 memory: 17350 grad_norm: 8.6798 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1032 loss: 1.1032 2022/07/24 22:00:02 - mmengine - INFO - Epoch(train) [93][700/3757] lr: 1.0000e-04 eta: 5:26:05 time: 0.6456 data_time: 0.2459 memory: 17350 grad_norm: 9.2912 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8492 loss: 0.8492 2022/07/24 22:00:16 - mmengine - INFO - Epoch(train) [93][720/3757] lr: 1.0000e-04 eta: 5:25:52 time: 0.7075 data_time: 0.2983 memory: 17350 grad_norm: 8.9865 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2217 loss: 1.2217 2022/07/24 22:00:30 - mmengine - INFO - Epoch(train) [93][740/3757] lr: 1.0000e-04 eta: 5:25:39 time: 0.6882 data_time: 0.2067 memory: 17350 grad_norm: 8.7988 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.1670 loss: 1.1670 2022/07/24 22:00:42 - mmengine - INFO - Epoch(train) [93][760/3757] lr: 1.0000e-04 eta: 5:25:25 time: 0.6175 data_time: 0.2577 memory: 17350 grad_norm: 8.7479 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0339 loss: 1.0339 2022/07/24 22:00:57 - mmengine - INFO - Epoch(train) [93][780/3757] lr: 1.0000e-04 eta: 5:25:12 time: 0.7217 data_time: 0.3366 memory: 17350 grad_norm: 9.1707 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0715 loss: 1.0715 2022/07/24 22:01:10 - mmengine - INFO - Epoch(train) [93][800/3757] lr: 1.0000e-04 eta: 5:24:59 time: 0.6491 data_time: 0.3148 memory: 17350 grad_norm: 8.7323 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7947 loss: 0.7947 2022/07/24 22:01:23 - mmengine - INFO - Epoch(train) [93][820/3757] lr: 1.0000e-04 eta: 5:24:45 time: 0.6547 data_time: 0.3142 memory: 17350 grad_norm: 8.6782 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0044 loss: 1.0044 2022/07/24 22:01:37 - mmengine - INFO - Epoch(train) [93][840/3757] lr: 1.0000e-04 eta: 5:24:32 time: 0.7100 data_time: 0.1935 memory: 17350 grad_norm: 9.0646 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9649 loss: 0.9649 2022/07/24 22:01:49 - mmengine - INFO - Epoch(train) [93][860/3757] lr: 1.0000e-04 eta: 5:24:19 time: 0.5865 data_time: 0.1470 memory: 17350 grad_norm: 8.8782 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0265 loss: 1.0265 2022/07/24 22:02:03 - mmengine - INFO - Epoch(train) [93][880/3757] lr: 1.0000e-04 eta: 5:24:05 time: 0.7134 data_time: 0.2795 memory: 17350 grad_norm: 8.6224 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9522 loss: 0.9522 2022/07/24 22:02:16 - mmengine - INFO - Epoch(train) [93][900/3757] lr: 1.0000e-04 eta: 5:23:52 time: 0.6231 data_time: 0.2451 memory: 17350 grad_norm: 8.6030 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7503 loss: 0.7503 2022/07/24 22:02:30 - mmengine - INFO - Epoch(train) [93][920/3757] lr: 1.0000e-04 eta: 5:23:39 time: 0.6964 data_time: 0.3519 memory: 17350 grad_norm: 9.0103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9014 loss: 0.9014 2022/07/24 22:02:42 - mmengine - INFO - Epoch(train) [93][940/3757] lr: 1.0000e-04 eta: 5:23:25 time: 0.6156 data_time: 0.2802 memory: 17350 grad_norm: 8.7130 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8012 loss: 0.8012 2022/07/24 22:02:56 - mmengine - INFO - Epoch(train) [93][960/3757] lr: 1.0000e-04 eta: 5:23:12 time: 0.7127 data_time: 0.3735 memory: 17350 grad_norm: 9.1915 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9842 loss: 0.9842 2022/07/24 22:03:08 - mmengine - INFO - Epoch(train) [93][980/3757] lr: 1.0000e-04 eta: 5:22:59 time: 0.6025 data_time: 0.2676 memory: 17350 grad_norm: 9.3757 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9094 loss: 0.9094 2022/07/24 22:03:22 - mmengine - INFO - Epoch(train) [93][1000/3757] lr: 1.0000e-04 eta: 5:22:45 time: 0.7021 data_time: 0.3558 memory: 17350 grad_norm: 9.0160 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2344 loss: 1.2344 2022/07/24 22:03:34 - mmengine - INFO - Epoch(train) [93][1020/3757] lr: 1.0000e-04 eta: 5:22:32 time: 0.5865 data_time: 0.2546 memory: 17350 grad_norm: 8.8245 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8884 loss: 0.8884 2022/07/24 22:03:49 - mmengine - INFO - Epoch(train) [93][1040/3757] lr: 1.0000e-04 eta: 5:22:19 time: 0.7349 data_time: 0.3583 memory: 17350 grad_norm: 8.6924 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5690 loss: 0.5690 2022/07/24 22:04:01 - mmengine - INFO - Epoch(train) [93][1060/3757] lr: 1.0000e-04 eta: 5:22:05 time: 0.6104 data_time: 0.2709 memory: 17350 grad_norm: 8.5890 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9149 loss: 0.9149 2022/07/24 22:04:15 - mmengine - INFO - Epoch(train) [93][1080/3757] lr: 1.0000e-04 eta: 5:21:52 time: 0.6826 data_time: 0.3450 memory: 17350 grad_norm: 9.0173 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8052 loss: 0.8052 2022/07/24 22:04:28 - mmengine - INFO - Epoch(train) [93][1100/3757] lr: 1.0000e-04 eta: 5:21:39 time: 0.6789 data_time: 0.3107 memory: 17350 grad_norm: 8.7310 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9046 loss: 0.9046 2022/07/24 22:04:41 - mmengine - INFO - Epoch(train) [93][1120/3757] lr: 1.0000e-04 eta: 5:21:25 time: 0.6505 data_time: 0.2981 memory: 17350 grad_norm: 8.8926 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0258 loss: 1.0258 2022/07/24 22:04:54 - mmengine - INFO - Epoch(train) [93][1140/3757] lr: 1.0000e-04 eta: 5:21:12 time: 0.6550 data_time: 0.3258 memory: 17350 grad_norm: 9.2814 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1512 loss: 1.1512 2022/07/24 22:05:08 - mmengine - INFO - Epoch(train) [93][1160/3757] lr: 1.0000e-04 eta: 5:20:59 time: 0.6880 data_time: 0.3603 memory: 17350 grad_norm: 9.2265 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0676 loss: 1.0676 2022/07/24 22:05:22 - mmengine - INFO - Epoch(train) [93][1180/3757] lr: 1.0000e-04 eta: 5:20:45 time: 0.6874 data_time: 0.3518 memory: 17350 grad_norm: 8.8763 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8986 loss: 0.8986 2022/07/24 22:05:35 - mmengine - INFO - Epoch(train) [93][1200/3757] lr: 1.0000e-04 eta: 5:20:32 time: 0.6379 data_time: 0.2866 memory: 17350 grad_norm: 8.8280 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8698 loss: 0.8698 2022/07/24 22:05:48 - mmengine - INFO - Epoch(train) [93][1220/3757] lr: 1.0000e-04 eta: 5:20:19 time: 0.6518 data_time: 0.3145 memory: 17350 grad_norm: 9.0111 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6492 loss: 0.6492 2022/07/24 22:06:02 - mmengine - INFO - Epoch(train) [93][1240/3757] lr: 1.0000e-04 eta: 5:20:05 time: 0.7180 data_time: 0.3792 memory: 17350 grad_norm: 8.6293 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7995 loss: 0.7995 2022/07/24 22:06:14 - mmengine - INFO - Epoch(train) [93][1260/3757] lr: 1.0000e-04 eta: 5:19:52 time: 0.5858 data_time: 0.2539 memory: 17350 grad_norm: 9.0803 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9983 loss: 0.9983 2022/07/24 22:06:29 - mmengine - INFO - Epoch(train) [93][1280/3757] lr: 1.0000e-04 eta: 5:19:39 time: 0.7381 data_time: 0.4030 memory: 17350 grad_norm: 9.1539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8314 loss: 0.8314 2022/07/24 22:06:41 - mmengine - INFO - Epoch(train) [93][1300/3757] lr: 1.0000e-04 eta: 5:19:25 time: 0.6344 data_time: 0.2994 memory: 17350 grad_norm: 8.8904 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8255 loss: 0.8255 2022/07/24 22:06:55 - mmengine - INFO - Epoch(train) [93][1320/3757] lr: 1.0000e-04 eta: 5:19:12 time: 0.6821 data_time: 0.3453 memory: 17350 grad_norm: 9.0838 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2893 loss: 1.2893 2022/07/24 22:07:08 - mmengine - INFO - Epoch(train) [93][1340/3757] lr: 1.0000e-04 eta: 5:18:59 time: 0.6338 data_time: 0.2967 memory: 17350 grad_norm: 9.1623 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8529 loss: 0.8529 2022/07/24 22:07:18 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 22:07:22 - mmengine - INFO - Epoch(train) [93][1360/3757] lr: 1.0000e-04 eta: 5:18:45 time: 0.7091 data_time: 0.3616 memory: 17350 grad_norm: 9.0113 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1755 loss: 1.1755 2022/07/24 22:07:34 - mmengine - INFO - Epoch(train) [93][1380/3757] lr: 1.0000e-04 eta: 5:18:32 time: 0.5846 data_time: 0.2499 memory: 17350 grad_norm: 8.6935 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7940 loss: 0.7940 2022/07/24 22:07:47 - mmengine - INFO - Epoch(train) [93][1400/3757] lr: 1.0000e-04 eta: 5:18:19 time: 0.6889 data_time: 0.3473 memory: 17350 grad_norm: 8.8129 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0030 loss: 1.0030 2022/07/24 22:08:00 - mmengine - INFO - Epoch(train) [93][1420/3757] lr: 1.0000e-04 eta: 5:18:05 time: 0.6058 data_time: 0.2701 memory: 17350 grad_norm: 8.8626 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9908 loss: 0.9908 2022/07/24 22:08:14 - mmengine - INFO - Epoch(train) [93][1440/3757] lr: 1.0000e-04 eta: 5:17:52 time: 0.7421 data_time: 0.4026 memory: 17350 grad_norm: 9.1598 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9296 loss: 0.9296 2022/07/24 22:08:26 - mmengine - INFO - Epoch(train) [93][1460/3757] lr: 1.0000e-04 eta: 5:17:39 time: 0.5681 data_time: 0.2280 memory: 17350 grad_norm: 8.6361 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9854 loss: 0.9854 2022/07/24 22:08:40 - mmengine - INFO - Epoch(train) [93][1480/3757] lr: 1.0000e-04 eta: 5:17:25 time: 0.7271 data_time: 0.3879 memory: 17350 grad_norm: 8.9158 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9280 loss: 0.9280 2022/07/24 22:08:53 - mmengine - INFO - Epoch(train) [93][1500/3757] lr: 1.0000e-04 eta: 5:17:12 time: 0.6157 data_time: 0.2807 memory: 17350 grad_norm: 9.0585 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9857 loss: 0.9857 2022/07/24 22:09:07 - mmengine - INFO - Epoch(train) [93][1520/3757] lr: 1.0000e-04 eta: 5:16:59 time: 0.7039 data_time: 0.3659 memory: 17350 grad_norm: 9.1876 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0494 loss: 1.0494 2022/07/24 22:09:20 - mmengine - INFO - Epoch(train) [93][1540/3757] lr: 1.0000e-04 eta: 5:16:45 time: 0.6777 data_time: 0.3419 memory: 17350 grad_norm: 9.3635 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1772 loss: 1.1772 2022/07/24 22:09:35 - mmengine - INFO - Epoch(train) [93][1560/3757] lr: 1.0000e-04 eta: 5:16:32 time: 0.7023 data_time: 0.3662 memory: 17350 grad_norm: 9.1574 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8942 loss: 0.8942 2022/07/24 22:09:47 - mmengine - INFO - Epoch(train) [93][1580/3757] lr: 1.0000e-04 eta: 5:16:19 time: 0.6125 data_time: 0.2765 memory: 17350 grad_norm: 8.7148 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9860 loss: 0.9860 2022/07/24 22:10:01 - mmengine - INFO - Epoch(train) [93][1600/3757] lr: 1.0000e-04 eta: 5:16:05 time: 0.7029 data_time: 0.2580 memory: 17350 grad_norm: 8.7757 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8625 loss: 0.8625 2022/07/24 22:10:14 - mmengine - INFO - Epoch(train) [93][1620/3757] lr: 1.0000e-04 eta: 5:15:52 time: 0.6668 data_time: 0.2911 memory: 17350 grad_norm: 9.1926 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2838 loss: 1.2838 2022/07/24 22:10:27 - mmengine - INFO - Epoch(train) [93][1640/3757] lr: 1.0000e-04 eta: 5:15:39 time: 0.6567 data_time: 0.2931 memory: 17350 grad_norm: 8.9939 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9795 loss: 0.9795 2022/07/24 22:10:41 - mmengine - INFO - Epoch(train) [93][1660/3757] lr: 1.0000e-04 eta: 5:15:25 time: 0.6611 data_time: 0.2495 memory: 17350 grad_norm: 9.0478 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9203 loss: 0.9203 2022/07/24 22:10:54 - mmengine - INFO - Epoch(train) [93][1680/3757] lr: 1.0000e-04 eta: 5:15:12 time: 0.6782 data_time: 0.2416 memory: 17350 grad_norm: 8.8519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0057 loss: 1.0057 2022/07/24 22:11:07 - mmengine - INFO - Epoch(train) [93][1700/3757] lr: 1.0000e-04 eta: 5:14:59 time: 0.6316 data_time: 0.2879 memory: 17350 grad_norm: 9.0585 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8132 loss: 0.8132 2022/07/24 22:11:21 - mmengine - INFO - Epoch(train) [93][1720/3757] lr: 1.0000e-04 eta: 5:14:45 time: 0.6827 data_time: 0.3356 memory: 17350 grad_norm: 8.7780 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8615 loss: 0.8615 2022/07/24 22:11:34 - mmengine - INFO - Epoch(train) [93][1740/3757] lr: 1.0000e-04 eta: 5:14:32 time: 0.6728 data_time: 0.2956 memory: 17350 grad_norm: 9.0751 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9054 loss: 0.9054 2022/07/24 22:11:47 - mmengine - INFO - Epoch(train) [93][1760/3757] lr: 1.0000e-04 eta: 5:14:19 time: 0.6411 data_time: 0.2790 memory: 17350 grad_norm: 9.1362 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1143 loss: 1.1143 2022/07/24 22:12:00 - mmengine - INFO - Epoch(train) [93][1780/3757] lr: 1.0000e-04 eta: 5:14:05 time: 0.6594 data_time: 0.3154 memory: 17350 grad_norm: 8.8722 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8740 loss: 0.8740 2022/07/24 22:12:14 - mmengine - INFO - Epoch(train) [93][1800/3757] lr: 1.0000e-04 eta: 5:13:52 time: 0.6902 data_time: 0.1968 memory: 17350 grad_norm: 8.5503 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9706 loss: 0.9706 2022/07/24 22:12:27 - mmengine - INFO - Epoch(train) [93][1820/3757] lr: 1.0000e-04 eta: 5:13:39 time: 0.6536 data_time: 0.1048 memory: 17350 grad_norm: 9.0748 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9509 loss: 0.9509 2022/07/24 22:12:40 - mmengine - INFO - Epoch(train) [93][1840/3757] lr: 1.0000e-04 eta: 5:13:25 time: 0.6431 data_time: 0.1455 memory: 17350 grad_norm: 9.3881 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8979 loss: 0.8979 2022/07/24 22:12:55 - mmengine - INFO - Epoch(train) [93][1860/3757] lr: 1.0000e-04 eta: 5:13:12 time: 0.7423 data_time: 0.1474 memory: 17350 grad_norm: 9.4951 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9892 loss: 0.9892 2022/07/24 22:13:06 - mmengine - INFO - Epoch(train) [93][1880/3757] lr: 1.0000e-04 eta: 5:12:59 time: 0.5733 data_time: 0.0225 memory: 17350 grad_norm: 9.0778 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8463 loss: 0.8463 2022/07/24 22:13:21 - mmengine - INFO - Epoch(train) [93][1900/3757] lr: 1.0000e-04 eta: 5:12:45 time: 0.7226 data_time: 0.0359 memory: 17350 grad_norm: 8.9705 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9729 loss: 0.9729 2022/07/24 22:13:33 - mmengine - INFO - Epoch(train) [93][1920/3757] lr: 1.0000e-04 eta: 5:12:32 time: 0.6338 data_time: 0.0312 memory: 17350 grad_norm: 9.1387 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1051 loss: 1.1051 2022/07/24 22:13:47 - mmengine - INFO - Epoch(train) [93][1940/3757] lr: 1.0000e-04 eta: 5:12:19 time: 0.6690 data_time: 0.0316 memory: 17350 grad_norm: 8.8183 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9629 loss: 0.9629 2022/07/24 22:13:59 - mmengine - INFO - Epoch(train) [93][1960/3757] lr: 1.0000e-04 eta: 5:12:05 time: 0.6312 data_time: 0.0665 memory: 17350 grad_norm: 8.8401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8679 loss: 0.8679 2022/07/24 22:14:13 - mmengine - INFO - Epoch(train) [93][1980/3757] lr: 1.0000e-04 eta: 5:11:52 time: 0.6792 data_time: 0.1834 memory: 17350 grad_norm: 9.2505 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2156 loss: 1.2156 2022/07/24 22:14:25 - mmengine - INFO - Epoch(train) [93][2000/3757] lr: 1.0000e-04 eta: 5:11:39 time: 0.6198 data_time: 0.2151 memory: 17350 grad_norm: 9.2775 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9323 loss: 0.9323 2022/07/24 22:14:39 - mmengine - INFO - Epoch(train) [93][2020/3757] lr: 1.0000e-04 eta: 5:11:25 time: 0.6854 data_time: 0.2511 memory: 17350 grad_norm: 9.2258 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9469 loss: 0.9469 2022/07/24 22:14:53 - mmengine - INFO - Epoch(train) [93][2040/3757] lr: 1.0000e-04 eta: 5:11:12 time: 0.6678 data_time: 0.2621 memory: 17350 grad_norm: 9.0526 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9171 loss: 0.9171 2022/07/24 22:15:06 - mmengine - INFO - Epoch(train) [93][2060/3757] lr: 1.0000e-04 eta: 5:10:59 time: 0.6769 data_time: 0.2950 memory: 17350 grad_norm: 8.9673 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0648 loss: 1.0648 2022/07/24 22:15:20 - mmengine - INFO - Epoch(train) [93][2080/3757] lr: 1.0000e-04 eta: 5:10:45 time: 0.6815 data_time: 0.2407 memory: 17350 grad_norm: 8.8999 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9867 loss: 0.9867 2022/07/24 22:15:33 - mmengine - INFO - Epoch(train) [93][2100/3757] lr: 1.0000e-04 eta: 5:10:32 time: 0.6535 data_time: 0.1641 memory: 17350 grad_norm: 8.5523 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9097 loss: 0.9097 2022/07/24 22:15:47 - mmengine - INFO - Epoch(train) [93][2120/3757] lr: 1.0000e-04 eta: 5:10:19 time: 0.6955 data_time: 0.3563 memory: 17350 grad_norm: 9.3829 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0587 loss: 1.0587 2022/07/24 22:15:59 - mmengine - INFO - Epoch(train) [93][2140/3757] lr: 1.0000e-04 eta: 5:10:05 time: 0.6142 data_time: 0.2709 memory: 17350 grad_norm: 9.2050 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0449 loss: 1.0449 2022/07/24 22:16:14 - mmengine - INFO - Epoch(train) [93][2160/3757] lr: 1.0000e-04 eta: 5:09:52 time: 0.7396 data_time: 0.4018 memory: 17350 grad_norm: 9.2956 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3088 loss: 1.3088 2022/07/24 22:16:26 - mmengine - INFO - Epoch(train) [93][2180/3757] lr: 1.0000e-04 eta: 5:09:39 time: 0.5927 data_time: 0.2572 memory: 17350 grad_norm: 9.0467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1491 loss: 1.1491 2022/07/24 22:16:40 - mmengine - INFO - Epoch(train) [93][2200/3757] lr: 1.0000e-04 eta: 5:09:25 time: 0.7256 data_time: 0.3860 memory: 17350 grad_norm: 9.2215 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9131 loss: 0.9131 2022/07/24 22:16:52 - mmengine - INFO - Epoch(train) [93][2220/3757] lr: 1.0000e-04 eta: 5:09:12 time: 0.6055 data_time: 0.2594 memory: 17350 grad_norm: 9.4622 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8606 loss: 0.8606 2022/07/24 22:17:07 - mmengine - INFO - Epoch(train) [93][2240/3757] lr: 1.0000e-04 eta: 5:08:59 time: 0.7208 data_time: 0.3837 memory: 17350 grad_norm: 9.2719 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8822 loss: 0.8822 2022/07/24 22:17:19 - mmengine - INFO - Epoch(train) [93][2260/3757] lr: 1.0000e-04 eta: 5:08:45 time: 0.5934 data_time: 0.2564 memory: 17350 grad_norm: 8.7254 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9600 loss: 0.9600 2022/07/24 22:17:34 - mmengine - INFO - Epoch(train) [93][2280/3757] lr: 1.0000e-04 eta: 5:08:32 time: 0.7393 data_time: 0.3968 memory: 17350 grad_norm: 8.9420 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0625 loss: 1.0625 2022/07/24 22:17:45 - mmengine - INFO - Epoch(train) [93][2300/3757] lr: 1.0000e-04 eta: 5:08:19 time: 0.5883 data_time: 0.2499 memory: 17350 grad_norm: 8.5946 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1041 loss: 1.1041 2022/07/24 22:18:01 - mmengine - INFO - Epoch(train) [93][2320/3757] lr: 1.0000e-04 eta: 5:08:05 time: 0.7612 data_time: 0.4116 memory: 17350 grad_norm: 8.9545 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9646 loss: 0.9646 2022/07/24 22:18:12 - mmengine - INFO - Epoch(train) [93][2340/3757] lr: 1.0000e-04 eta: 5:07:52 time: 0.5761 data_time: 0.2361 memory: 17350 grad_norm: 9.1624 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9774 loss: 0.9774 2022/07/24 22:18:22 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 22:18:26 - mmengine - INFO - Epoch(train) [93][2360/3757] lr: 1.0000e-04 eta: 5:07:39 time: 0.6938 data_time: 0.3557 memory: 17350 grad_norm: 8.9077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1087 loss: 1.1087 2022/07/24 22:18:38 - mmengine - INFO - Epoch(train) [93][2380/3757] lr: 1.0000e-04 eta: 5:07:25 time: 0.6199 data_time: 0.2816 memory: 17350 grad_norm: 9.2537 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1273 loss: 1.1273 2022/07/24 22:18:52 - mmengine - INFO - Epoch(train) [93][2400/3757] lr: 1.0000e-04 eta: 5:07:12 time: 0.6900 data_time: 0.3456 memory: 17350 grad_norm: 8.8318 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8166 loss: 0.8166 2022/07/24 22:19:05 - mmengine - INFO - Epoch(train) [93][2420/3757] lr: 1.0000e-04 eta: 5:06:59 time: 0.6288 data_time: 0.2942 memory: 17350 grad_norm: 9.0557 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9277 loss: 0.9277 2022/07/24 22:19:19 - mmengine - INFO - Epoch(train) [93][2440/3757] lr: 1.0000e-04 eta: 5:06:45 time: 0.7214 data_time: 0.3684 memory: 17350 grad_norm: 8.7925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9938 loss: 0.9938 2022/07/24 22:19:31 - mmengine - INFO - Epoch(train) [93][2460/3757] lr: 1.0000e-04 eta: 5:06:32 time: 0.5997 data_time: 0.2475 memory: 17350 grad_norm: 8.8023 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9313 loss: 0.9313 2022/07/24 22:19:46 - mmengine - INFO - Epoch(train) [93][2480/3757] lr: 1.0000e-04 eta: 5:06:19 time: 0.7242 data_time: 0.3809 memory: 17350 grad_norm: 8.8404 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0379 loss: 1.0379 2022/07/24 22:19:58 - mmengine - INFO - Epoch(train) [93][2500/3757] lr: 1.0000e-04 eta: 5:06:05 time: 0.6251 data_time: 0.2179 memory: 17350 grad_norm: 9.1166 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8333 loss: 0.8333 2022/07/24 22:20:13 - mmengine - INFO - Epoch(train) [93][2520/3757] lr: 1.0000e-04 eta: 5:05:52 time: 0.7254 data_time: 0.3483 memory: 17350 grad_norm: 9.1733 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1876 loss: 1.1876 2022/07/24 22:20:26 - mmengine - INFO - Epoch(train) [93][2540/3757] lr: 1.0000e-04 eta: 5:05:39 time: 0.6310 data_time: 0.2094 memory: 17350 grad_norm: 9.0207 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8805 loss: 0.8805 2022/07/24 22:20:40 - mmengine - INFO - Epoch(train) [93][2560/3757] lr: 1.0000e-04 eta: 5:05:25 time: 0.7099 data_time: 0.3376 memory: 17350 grad_norm: 9.2001 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1909 loss: 1.1909 2022/07/24 22:20:52 - mmengine - INFO - Epoch(train) [93][2580/3757] lr: 1.0000e-04 eta: 5:05:12 time: 0.5995 data_time: 0.2437 memory: 17350 grad_norm: 9.2579 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0298 loss: 1.0298 2022/07/24 22:21:06 - mmengine - INFO - Epoch(train) [93][2600/3757] lr: 1.0000e-04 eta: 5:04:59 time: 0.7226 data_time: 0.3728 memory: 17350 grad_norm: 9.2237 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9610 loss: 0.9610 2022/07/24 22:21:18 - mmengine - INFO - Epoch(train) [93][2620/3757] lr: 1.0000e-04 eta: 5:04:45 time: 0.5850 data_time: 0.2489 memory: 17350 grad_norm: 8.9565 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0286 loss: 1.0286 2022/07/24 22:21:32 - mmengine - INFO - Epoch(train) [93][2640/3757] lr: 1.0000e-04 eta: 5:04:32 time: 0.7152 data_time: 0.3708 memory: 17350 grad_norm: 9.2555 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9265 loss: 0.9265 2022/07/24 22:21:44 - mmengine - INFO - Epoch(train) [93][2660/3757] lr: 1.0000e-04 eta: 5:04:19 time: 0.5934 data_time: 0.2551 memory: 17350 grad_norm: 9.2568 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1059 loss: 1.1059 2022/07/24 22:21:59 - mmengine - INFO - Epoch(train) [93][2680/3757] lr: 1.0000e-04 eta: 5:04:05 time: 0.7321 data_time: 0.3890 memory: 17350 grad_norm: 8.7465 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0770 loss: 1.0770 2022/07/24 22:22:11 - mmengine - INFO - Epoch(train) [93][2700/3757] lr: 1.0000e-04 eta: 5:03:52 time: 0.6005 data_time: 0.2624 memory: 17350 grad_norm: 8.9445 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1877 loss: 1.1877 2022/07/24 22:22:26 - mmengine - INFO - Epoch(train) [93][2720/3757] lr: 1.0000e-04 eta: 5:03:39 time: 0.7771 data_time: 0.3077 memory: 17350 grad_norm: 9.0197 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8964 loss: 0.8964 2022/07/24 22:22:38 - mmengine - INFO - Epoch(train) [93][2740/3757] lr: 1.0000e-04 eta: 5:03:25 time: 0.5745 data_time: 0.0585 memory: 17350 grad_norm: 8.8530 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3275 loss: 1.3275 2022/07/24 22:22:53 - mmengine - INFO - Epoch(train) [93][2760/3757] lr: 1.0000e-04 eta: 5:03:12 time: 0.7721 data_time: 0.0347 memory: 17350 grad_norm: 9.1367 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9159 loss: 0.9159 2022/07/24 22:23:05 - mmengine - INFO - Epoch(train) [93][2780/3757] lr: 1.0000e-04 eta: 5:02:59 time: 0.5715 data_time: 0.0253 memory: 17350 grad_norm: 9.0846 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0466 loss: 1.0466 2022/07/24 22:23:19 - mmengine - INFO - Epoch(train) [93][2800/3757] lr: 1.0000e-04 eta: 5:02:45 time: 0.6892 data_time: 0.0220 memory: 17350 grad_norm: 8.9784 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 0.9369 loss: 0.9369 2022/07/24 22:23:31 - mmengine - INFO - Epoch(train) [93][2820/3757] lr: 1.0000e-04 eta: 5:02:32 time: 0.6400 data_time: 0.0234 memory: 17350 grad_norm: 8.5809 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8081 loss: 0.8081 2022/07/24 22:23:46 - mmengine - INFO - Epoch(train) [93][2840/3757] lr: 1.0000e-04 eta: 5:02:19 time: 0.7146 data_time: 0.0230 memory: 17350 grad_norm: 8.8260 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8436 loss: 0.8436 2022/07/24 22:23:59 - mmengine - INFO - Epoch(train) [93][2860/3757] lr: 1.0000e-04 eta: 5:02:05 time: 0.6435 data_time: 0.0237 memory: 17350 grad_norm: 8.7190 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9986 loss: 0.9986 2022/07/24 22:24:13 - mmengine - INFO - Epoch(train) [93][2880/3757] lr: 1.0000e-04 eta: 5:01:52 time: 0.7022 data_time: 0.0227 memory: 17350 grad_norm: 8.9937 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0652 loss: 1.0652 2022/07/24 22:24:25 - mmengine - INFO - Epoch(train) [93][2900/3757] lr: 1.0000e-04 eta: 5:01:39 time: 0.5975 data_time: 0.0262 memory: 17350 grad_norm: 9.1750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1386 loss: 1.1386 2022/07/24 22:24:38 - mmengine - INFO - Epoch(train) [93][2920/3757] lr: 1.0000e-04 eta: 5:01:25 time: 0.6849 data_time: 0.0220 memory: 17350 grad_norm: 9.2183 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0227 loss: 1.0227 2022/07/24 22:24:50 - mmengine - INFO - Epoch(train) [93][2940/3757] lr: 1.0000e-04 eta: 5:01:12 time: 0.5989 data_time: 0.0231 memory: 17350 grad_norm: 9.1207 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8910 loss: 0.8910 2022/07/24 22:25:06 - mmengine - INFO - Epoch(train) [93][2960/3757] lr: 1.0000e-04 eta: 5:00:59 time: 0.7544 data_time: 0.0212 memory: 17350 grad_norm: 9.4554 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1377 loss: 1.1377 2022/07/24 22:25:17 - mmengine - INFO - Epoch(train) [93][2980/3757] lr: 1.0000e-04 eta: 5:00:45 time: 0.5951 data_time: 0.0236 memory: 17350 grad_norm: 9.1219 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1373 loss: 1.1373 2022/07/24 22:25:32 - mmengine - INFO - Epoch(train) [93][3000/3757] lr: 1.0000e-04 eta: 5:00:32 time: 0.7185 data_time: 0.0209 memory: 17350 grad_norm: 9.1333 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 0.9315 loss: 0.9315 2022/07/24 22:25:45 - mmengine - INFO - Epoch(train) [93][3020/3757] lr: 1.0000e-04 eta: 5:00:19 time: 0.6534 data_time: 0.0285 memory: 17350 grad_norm: 8.3267 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9879 loss: 0.9879 2022/07/24 22:25:59 - mmengine - INFO - Epoch(train) [93][3040/3757] lr: 1.0000e-04 eta: 5:00:05 time: 0.7116 data_time: 0.0218 memory: 17350 grad_norm: 8.6087 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9295 loss: 0.9295 2022/07/24 22:26:11 - mmengine - INFO - Epoch(train) [93][3060/3757] lr: 1.0000e-04 eta: 4:59:52 time: 0.5659 data_time: 0.0224 memory: 17350 grad_norm: 9.0154 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1087 loss: 1.1087 2022/07/24 22:26:25 - mmengine - INFO - Epoch(train) [93][3080/3757] lr: 1.0000e-04 eta: 4:59:39 time: 0.7077 data_time: 0.0218 memory: 17350 grad_norm: 9.4718 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8356 loss: 0.8356 2022/07/24 22:26:37 - mmengine - INFO - Epoch(train) [93][3100/3757] lr: 1.0000e-04 eta: 4:59:25 time: 0.6035 data_time: 0.0239 memory: 17350 grad_norm: 9.1410 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1104 loss: 1.1104 2022/07/24 22:26:52 - mmengine - INFO - Epoch(train) [93][3120/3757] lr: 1.0000e-04 eta: 4:59:12 time: 0.7346 data_time: 0.0222 memory: 17350 grad_norm: 8.6625 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8642 loss: 0.8642 2022/07/24 22:27:04 - mmengine - INFO - Epoch(train) [93][3140/3757] lr: 1.0000e-04 eta: 4:58:59 time: 0.6276 data_time: 0.0245 memory: 17350 grad_norm: 9.3705 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0997 loss: 1.0997 2022/07/24 22:27:17 - mmengine - INFO - Epoch(train) [93][3160/3757] lr: 1.0000e-04 eta: 4:58:45 time: 0.6545 data_time: 0.0238 memory: 17350 grad_norm: 8.4005 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9254 loss: 0.9254 2022/07/24 22:27:30 - mmengine - INFO - Epoch(train) [93][3180/3757] lr: 1.0000e-04 eta: 4:58:32 time: 0.6508 data_time: 0.0230 memory: 17350 grad_norm: 9.2321 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.1406 loss: 1.1406 2022/07/24 22:27:45 - mmengine - INFO - Epoch(train) [93][3200/3757] lr: 1.0000e-04 eta: 4:58:19 time: 0.7234 data_time: 0.0228 memory: 17350 grad_norm: 9.0282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9793 loss: 0.9793 2022/07/24 22:27:57 - mmengine - INFO - Epoch(train) [93][3220/3757] lr: 1.0000e-04 eta: 4:58:05 time: 0.6100 data_time: 0.0364 memory: 17350 grad_norm: 9.0247 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9495 loss: 0.9495 2022/07/24 22:28:11 - mmengine - INFO - Epoch(train) [93][3240/3757] lr: 1.0000e-04 eta: 4:57:52 time: 0.6817 data_time: 0.0647 memory: 17350 grad_norm: 9.1158 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0215 loss: 1.0215 2022/07/24 22:28:24 - mmengine - INFO - Epoch(train) [93][3260/3757] lr: 1.0000e-04 eta: 4:57:39 time: 0.6725 data_time: 0.0764 memory: 17350 grad_norm: 8.5279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0219 loss: 1.0219 2022/07/24 22:28:37 - mmengine - INFO - Epoch(train) [93][3280/3757] lr: 1.0000e-04 eta: 4:57:25 time: 0.6232 data_time: 0.0682 memory: 17350 grad_norm: 9.3277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1248 loss: 1.1248 2022/07/24 22:28:50 - mmengine - INFO - Epoch(train) [93][3300/3757] lr: 1.0000e-04 eta: 4:57:12 time: 0.6703 data_time: 0.0412 memory: 17350 grad_norm: 9.3316 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9135 loss: 0.9135 2022/07/24 22:29:04 - mmengine - INFO - Epoch(train) [93][3320/3757] lr: 1.0000e-04 eta: 4:56:59 time: 0.6795 data_time: 0.0211 memory: 17350 grad_norm: 9.2946 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9159 loss: 0.9159 2022/07/24 22:29:17 - mmengine - INFO - Epoch(train) [93][3340/3757] lr: 1.0000e-04 eta: 4:56:45 time: 0.6590 data_time: 0.0226 memory: 17350 grad_norm: 8.7024 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2966 loss: 1.2966 2022/07/24 22:29:28 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 22:29:32 - mmengine - INFO - Epoch(train) [93][3360/3757] lr: 1.0000e-04 eta: 4:56:32 time: 0.7634 data_time: 0.0210 memory: 17350 grad_norm: 8.8902 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9332 loss: 0.9332 2022/07/24 22:29:44 - mmengine - INFO - Epoch(train) [93][3380/3757] lr: 1.0000e-04 eta: 4:56:19 time: 0.5780 data_time: 0.0238 memory: 17350 grad_norm: 8.9453 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9814 loss: 0.9814 2022/07/24 22:29:58 - mmengine - INFO - Epoch(train) [93][3400/3757] lr: 1.0000e-04 eta: 4:56:05 time: 0.7136 data_time: 0.0221 memory: 17350 grad_norm: 8.7740 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1184 loss: 1.1184 2022/07/24 22:30:10 - mmengine - INFO - Epoch(train) [93][3420/3757] lr: 1.0000e-04 eta: 4:55:52 time: 0.6231 data_time: 0.0241 memory: 17350 grad_norm: 8.9653 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0680 loss: 1.0680 2022/07/24 22:30:24 - mmengine - INFO - Epoch(train) [93][3440/3757] lr: 1.0000e-04 eta: 4:55:39 time: 0.6909 data_time: 0.0231 memory: 17350 grad_norm: 9.2328 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9242 loss: 0.9242 2022/07/24 22:30:37 - mmengine - INFO - Epoch(train) [93][3460/3757] lr: 1.0000e-04 eta: 4:55:25 time: 0.6182 data_time: 0.0232 memory: 17350 grad_norm: 9.2246 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0433 loss: 1.0433 2022/07/24 22:30:51 - mmengine - INFO - Epoch(train) [93][3480/3757] lr: 1.0000e-04 eta: 4:55:12 time: 0.7166 data_time: 0.0207 memory: 17350 grad_norm: 8.9801 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8340 loss: 0.8340 2022/07/24 22:31:03 - mmengine - INFO - Epoch(train) [93][3500/3757] lr: 1.0000e-04 eta: 4:54:59 time: 0.5852 data_time: 0.0233 memory: 17350 grad_norm: 9.3087 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1018 loss: 1.1018 2022/07/24 22:31:18 - mmengine - INFO - Epoch(train) [93][3520/3757] lr: 1.0000e-04 eta: 4:54:45 time: 0.7601 data_time: 0.0222 memory: 17350 grad_norm: 9.9585 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0672 loss: 1.0672 2022/07/24 22:31:30 - mmengine - INFO - Epoch(train) [93][3540/3757] lr: 1.0000e-04 eta: 4:54:32 time: 0.5783 data_time: 0.0235 memory: 17350 grad_norm: 9.1119 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8247 loss: 0.8247 2022/07/24 22:31:44 - mmengine - INFO - Epoch(train) [93][3560/3757] lr: 1.0000e-04 eta: 4:54:19 time: 0.7056 data_time: 0.0221 memory: 17350 grad_norm: 9.3823 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1208 loss: 1.1208 2022/07/24 22:31:56 - mmengine - INFO - Epoch(train) [93][3580/3757] lr: 1.0000e-04 eta: 4:54:05 time: 0.6076 data_time: 0.0242 memory: 17350 grad_norm: 9.0829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7417 loss: 0.7417 2022/07/24 22:32:11 - mmengine - INFO - Epoch(train) [93][3600/3757] lr: 1.0000e-04 eta: 4:53:52 time: 0.7538 data_time: 0.0236 memory: 17350 grad_norm: 9.0015 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0064 loss: 1.0064 2022/07/24 22:32:23 - mmengine - INFO - Epoch(train) [93][3620/3757] lr: 1.0000e-04 eta: 4:53:39 time: 0.5822 data_time: 0.0225 memory: 17350 grad_norm: 9.0623 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9675 loss: 0.9675 2022/07/24 22:32:37 - mmengine - INFO - Epoch(train) [93][3640/3757] lr: 1.0000e-04 eta: 4:53:25 time: 0.7215 data_time: 0.0235 memory: 17350 grad_norm: 8.7036 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9847 loss: 0.9847 2022/07/24 22:32:50 - mmengine - INFO - Epoch(train) [93][3660/3757] lr: 1.0000e-04 eta: 4:53:12 time: 0.6246 data_time: 0.0262 memory: 17350 grad_norm: 9.3943 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9291 loss: 0.9291 2022/07/24 22:33:04 - mmengine - INFO - Epoch(train) [93][3680/3757] lr: 1.0000e-04 eta: 4:52:59 time: 0.7161 data_time: 0.0244 memory: 17350 grad_norm: 9.1365 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0298 loss: 1.0298 2022/07/24 22:33:15 - mmengine - INFO - Epoch(train) [93][3700/3757] lr: 1.0000e-04 eta: 4:52:45 time: 0.5645 data_time: 0.0245 memory: 17350 grad_norm: 9.2435 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3593 loss: 1.3593 2022/07/24 22:33:30 - mmengine - INFO - Epoch(train) [93][3720/3757] lr: 1.0000e-04 eta: 4:52:32 time: 0.7440 data_time: 0.0246 memory: 17350 grad_norm: 8.9116 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8298 loss: 0.8298 2022/07/24 22:33:42 - mmengine - INFO - Epoch(train) [93][3740/3757] lr: 1.0000e-04 eta: 4:52:18 time: 0.5719 data_time: 0.0254 memory: 17350 grad_norm: 8.9795 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9993 loss: 0.9993 2022/07/24 22:33:51 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 22:33:51 - mmengine - INFO - Epoch(train) [93][3757/3757] lr: 1.0000e-04 eta: 4:52:18 time: 0.5037 data_time: 0.0236 memory: 17350 grad_norm: 9.0723 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9870 loss: 0.9870 2022/07/24 22:34:07 - mmengine - INFO - Epoch(val) [93][20/310] eta: 0:04:01 time: 0.8316 data_time: 0.7157 memory: 3406 2022/07/24 22:34:18 - mmengine - INFO - Epoch(val) [93][40/310] eta: 0:02:29 time: 0.5519 data_time: 0.4387 memory: 3406 2022/07/24 22:34:34 - mmengine - INFO - Epoch(val) [93][60/310] eta: 0:03:13 time: 0.7720 data_time: 0.6592 memory: 3406 2022/07/24 22:34:45 - mmengine - INFO - Epoch(val) [93][80/310] eta: 0:02:12 time: 0.5776 data_time: 0.4616 memory: 3406 2022/07/24 22:35:01 - mmengine - INFO - Epoch(val) [93][100/310] eta: 0:02:40 time: 0.7637 data_time: 0.6494 memory: 3406 2022/07/24 22:35:12 - mmengine - INFO - Epoch(val) [93][120/310] eta: 0:01:52 time: 0.5898 data_time: 0.4748 memory: 3406 2022/07/24 22:35:27 - mmengine - INFO - Epoch(val) [93][140/310] eta: 0:02:08 time: 0.7554 data_time: 0.6400 memory: 3406 2022/07/24 22:35:38 - mmengine - INFO - Epoch(val) [93][160/310] eta: 0:01:19 time: 0.5303 data_time: 0.4165 memory: 3406 2022/07/24 22:35:53 - mmengine - INFO - Epoch(val) [93][180/310] eta: 0:01:39 time: 0.7626 data_time: 0.6442 memory: 3406 2022/07/24 22:36:04 - mmengine - INFO - Epoch(val) [93][200/310] eta: 0:00:58 time: 0.5356 data_time: 0.4204 memory: 3406 2022/07/24 22:36:20 - mmengine - INFO - Epoch(val) [93][220/310] eta: 0:01:10 time: 0.7785 data_time: 0.6578 memory: 3406 2022/07/24 22:36:31 - mmengine - INFO - Epoch(val) [93][240/310] eta: 0:00:38 time: 0.5561 data_time: 0.4432 memory: 3406 2022/07/24 22:36:47 - mmengine - INFO - Epoch(val) [93][260/310] eta: 0:00:39 time: 0.7941 data_time: 0.6781 memory: 3406 2022/07/24 22:36:57 - mmengine - INFO - Epoch(val) [93][280/310] eta: 0:00:15 time: 0.5041 data_time: 0.3911 memory: 3406 2022/07/24 22:37:11 - mmengine - INFO - Epoch(val) [93][300/310] eta: 0:00:07 time: 0.7367 data_time: 0.6192 memory: 3406 2022/07/24 22:37:16 - mmengine - INFO - Epoch(val) [93][310/310] acc/top1: 0.6906 acc/top5: 0.8795 acc/mean1: 0.6906 2022/07/24 22:37:34 - mmengine - INFO - Epoch(train) [94][20/3757] lr: 1.0000e-04 eta: 4:51:53 time: 0.8883 data_time: 0.5495 memory: 17350 grad_norm: 9.1525 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2236 loss: 1.2236 2022/07/24 22:37:46 - mmengine - INFO - Epoch(train) [94][40/3757] lr: 1.0000e-04 eta: 4:51:40 time: 0.5799 data_time: 0.2174 memory: 17350 grad_norm: 9.1908 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0619 loss: 1.0619 2022/07/24 22:38:01 - mmengine - INFO - Epoch(train) [94][60/3757] lr: 1.0000e-04 eta: 4:51:27 time: 0.7600 data_time: 0.3641 memory: 17350 grad_norm: 8.8920 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7283 loss: 0.7283 2022/07/24 22:38:13 - mmengine - INFO - Epoch(train) [94][80/3757] lr: 1.0000e-04 eta: 4:51:13 time: 0.6099 data_time: 0.2131 memory: 17350 grad_norm: 8.8668 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9990 loss: 0.9990 2022/07/24 22:38:28 - mmengine - INFO - Epoch(train) [94][100/3757] lr: 1.0000e-04 eta: 4:51:00 time: 0.7626 data_time: 0.2646 memory: 17350 grad_norm: 8.8375 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8023 loss: 0.8023 2022/07/24 22:38:40 - mmengine - INFO - Epoch(train) [94][120/3757] lr: 1.0000e-04 eta: 4:50:47 time: 0.5846 data_time: 0.1115 memory: 17350 grad_norm: 8.8478 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9966 loss: 0.9966 2022/07/24 22:38:55 - mmengine - INFO - Epoch(train) [94][140/3757] lr: 1.0000e-04 eta: 4:50:33 time: 0.7333 data_time: 0.1059 memory: 17350 grad_norm: 9.2297 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2071 loss: 1.2071 2022/07/24 22:39:07 - mmengine - INFO - Epoch(train) [94][160/3757] lr: 1.0000e-04 eta: 4:50:20 time: 0.5955 data_time: 0.0421 memory: 17350 grad_norm: 9.2132 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1640 loss: 1.1640 2022/07/24 22:39:21 - mmengine - INFO - Epoch(train) [94][180/3757] lr: 1.0000e-04 eta: 4:50:07 time: 0.7264 data_time: 0.0221 memory: 17350 grad_norm: 8.6539 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8957 loss: 0.8957 2022/07/24 22:39:33 - mmengine - INFO - Epoch(train) [94][200/3757] lr: 1.0000e-04 eta: 4:49:53 time: 0.6138 data_time: 0.0221 memory: 17350 grad_norm: 9.1979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0379 loss: 1.0379 2022/07/24 22:39:48 - mmengine - INFO - Epoch(train) [94][220/3757] lr: 1.0000e-04 eta: 4:49:40 time: 0.7248 data_time: 0.0237 memory: 17350 grad_norm: 9.4328 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9451 loss: 0.9451 2022/07/24 22:40:01 - mmengine - INFO - Epoch(train) [94][240/3757] lr: 1.0000e-04 eta: 4:49:27 time: 0.6269 data_time: 0.0300 memory: 17350 grad_norm: 9.3755 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0576 loss: 1.0576 2022/07/24 22:40:15 - mmengine - INFO - Epoch(train) [94][260/3757] lr: 1.0000e-04 eta: 4:49:13 time: 0.7258 data_time: 0.0265 memory: 17350 grad_norm: 8.7115 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8758 loss: 0.8758 2022/07/24 22:40:28 - mmengine - INFO - Epoch(train) [94][280/3757] lr: 1.0000e-04 eta: 4:49:00 time: 0.6435 data_time: 0.0242 memory: 17350 grad_norm: 9.0795 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9599 loss: 0.9599 2022/07/24 22:40:42 - mmengine - INFO - Epoch(train) [94][300/3757] lr: 1.0000e-04 eta: 4:48:47 time: 0.7086 data_time: 0.0244 memory: 17350 grad_norm: 9.0437 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9551 loss: 0.9551 2022/07/24 22:40:55 - mmengine - INFO - Epoch(train) [94][320/3757] lr: 1.0000e-04 eta: 4:48:33 time: 0.6213 data_time: 0.0248 memory: 17350 grad_norm: 8.7638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9287 loss: 0.9287 2022/07/24 22:41:09 - mmengine - INFO - Epoch(train) [94][340/3757] lr: 1.0000e-04 eta: 4:48:20 time: 0.6960 data_time: 0.0216 memory: 17350 grad_norm: 8.8346 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8961 loss: 0.8961 2022/07/24 22:41:21 - mmengine - INFO - Epoch(train) [94][360/3757] lr: 1.0000e-04 eta: 4:48:07 time: 0.6203 data_time: 0.0243 memory: 17350 grad_norm: 8.8032 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8276 loss: 0.8276 2022/07/24 22:41:36 - mmengine - INFO - Epoch(train) [94][380/3757] lr: 1.0000e-04 eta: 4:47:53 time: 0.7393 data_time: 0.0223 memory: 17350 grad_norm: 9.0446 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8723 loss: 0.8723 2022/07/24 22:41:48 - mmengine - INFO - Epoch(train) [94][400/3757] lr: 1.0000e-04 eta: 4:47:40 time: 0.6135 data_time: 0.0237 memory: 17350 grad_norm: 9.3421 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0648 loss: 1.0648 2022/07/24 22:42:02 - mmengine - INFO - Epoch(train) [94][420/3757] lr: 1.0000e-04 eta: 4:47:27 time: 0.7161 data_time: 0.0265 memory: 17350 grad_norm: 8.7924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0097 loss: 1.0097 2022/07/24 22:42:15 - mmengine - INFO - Epoch(train) [94][440/3757] lr: 1.0000e-04 eta: 4:47:13 time: 0.6095 data_time: 0.0245 memory: 17350 grad_norm: 8.8330 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8808 loss: 0.8808 2022/07/24 22:42:29 - mmengine - INFO - Epoch(train) [94][460/3757] lr: 1.0000e-04 eta: 4:47:00 time: 0.7341 data_time: 0.0231 memory: 17350 grad_norm: 9.2046 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2557 loss: 1.2557 2022/07/24 22:42:41 - mmengine - INFO - Epoch(train) [94][480/3757] lr: 1.0000e-04 eta: 4:46:47 time: 0.5917 data_time: 0.0230 memory: 17350 grad_norm: 9.2250 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0999 loss: 1.0999 2022/07/24 22:42:55 - mmengine - INFO - Epoch(train) [94][500/3757] lr: 1.0000e-04 eta: 4:46:33 time: 0.6891 data_time: 0.0248 memory: 17350 grad_norm: 8.6473 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9029 loss: 0.9029 2022/07/24 22:43:07 - mmengine - INFO - Epoch(train) [94][520/3757] lr: 1.0000e-04 eta: 4:46:20 time: 0.6090 data_time: 0.0229 memory: 17350 grad_norm: 9.0948 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1276 loss: 1.1276 2022/07/24 22:43:22 - mmengine - INFO - Epoch(train) [94][540/3757] lr: 1.0000e-04 eta: 4:46:07 time: 0.7326 data_time: 0.0219 memory: 17350 grad_norm: 8.8734 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7761 loss: 0.7761 2022/07/24 22:43:34 - mmengine - INFO - Epoch(train) [94][560/3757] lr: 1.0000e-04 eta: 4:45:53 time: 0.5910 data_time: 0.0234 memory: 17350 grad_norm: 9.1884 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0216 loss: 1.0216 2022/07/24 22:43:48 - mmengine - INFO - Epoch(train) [94][580/3757] lr: 1.0000e-04 eta: 4:45:40 time: 0.7216 data_time: 0.0228 memory: 17350 grad_norm: 8.8938 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0803 loss: 1.0803 2022/07/24 22:44:00 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 22:44:00 - mmengine - INFO - Epoch(train) [94][600/3757] lr: 1.0000e-04 eta: 4:45:27 time: 0.6139 data_time: 0.0232 memory: 17350 grad_norm: 8.6820 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0150 loss: 1.0150 2022/07/24 22:44:15 - mmengine - INFO - Epoch(train) [94][620/3757] lr: 1.0000e-04 eta: 4:45:13 time: 0.7177 data_time: 0.0143 memory: 17350 grad_norm: 8.9050 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0836 loss: 1.0836 2022/07/24 22:44:27 - mmengine - INFO - Epoch(train) [94][640/3757] lr: 1.0000e-04 eta: 4:45:00 time: 0.5864 data_time: 0.0243 memory: 17350 grad_norm: 8.9851 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8845 loss: 0.8845 2022/07/24 22:44:41 - mmengine - INFO - Epoch(train) [94][660/3757] lr: 1.0000e-04 eta: 4:44:47 time: 0.7276 data_time: 0.0224 memory: 17350 grad_norm: 8.6042 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9715 loss: 0.9715 2022/07/24 22:44:53 - mmengine - INFO - Epoch(train) [94][680/3757] lr: 1.0000e-04 eta: 4:44:33 time: 0.5893 data_time: 0.0235 memory: 17350 grad_norm: 8.6938 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8227 loss: 0.8227 2022/07/24 22:45:08 - mmengine - INFO - Epoch(train) [94][700/3757] lr: 1.0000e-04 eta: 4:44:20 time: 0.7371 data_time: 0.0234 memory: 17350 grad_norm: 8.8543 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9033 loss: 0.9033 2022/07/24 22:45:20 - mmengine - INFO - Epoch(train) [94][720/3757] lr: 1.0000e-04 eta: 4:44:07 time: 0.6080 data_time: 0.0228 memory: 17350 grad_norm: 8.8241 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0442 loss: 1.0442 2022/07/24 22:45:34 - mmengine - INFO - Epoch(train) [94][740/3757] lr: 1.0000e-04 eta: 4:43:53 time: 0.7123 data_time: 0.0249 memory: 17350 grad_norm: 8.5926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6922 loss: 0.6922 2022/07/24 22:45:46 - mmengine - INFO - Epoch(train) [94][760/3757] lr: 1.0000e-04 eta: 4:43:40 time: 0.6117 data_time: 0.0222 memory: 17350 grad_norm: 8.6886 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0476 loss: 1.0476 2022/07/24 22:46:01 - mmengine - INFO - Epoch(train) [94][780/3757] lr: 1.0000e-04 eta: 4:43:27 time: 0.7200 data_time: 0.0226 memory: 17350 grad_norm: 8.7876 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8466 loss: 0.8466 2022/07/24 22:46:13 - mmengine - INFO - Epoch(train) [94][800/3757] lr: 1.0000e-04 eta: 4:43:13 time: 0.5977 data_time: 0.0323 memory: 17350 grad_norm: 8.6247 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8335 loss: 0.8335 2022/07/24 22:46:28 - mmengine - INFO - Epoch(train) [94][820/3757] lr: 1.0000e-04 eta: 4:43:00 time: 0.7364 data_time: 0.0226 memory: 17350 grad_norm: 9.3348 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9334 loss: 0.9334 2022/07/24 22:46:40 - mmengine - INFO - Epoch(train) [94][840/3757] lr: 1.0000e-04 eta: 4:42:47 time: 0.5991 data_time: 0.0235 memory: 17350 grad_norm: 8.9414 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0333 loss: 1.0333 2022/07/24 22:46:54 - mmengine - INFO - Epoch(train) [94][860/3757] lr: 1.0000e-04 eta: 4:42:33 time: 0.7029 data_time: 0.0237 memory: 17350 grad_norm: 8.6591 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8745 loss: 0.8745 2022/07/24 22:47:06 - mmengine - INFO - Epoch(train) [94][880/3757] lr: 1.0000e-04 eta: 4:42:20 time: 0.6404 data_time: 0.0240 memory: 17350 grad_norm: 8.7058 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7170 loss: 0.7170 2022/07/24 22:47:21 - mmengine - INFO - Epoch(train) [94][900/3757] lr: 1.0000e-04 eta: 4:42:07 time: 0.7295 data_time: 0.0222 memory: 17350 grad_norm: 8.9931 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2861 loss: 1.2861 2022/07/24 22:47:33 - mmengine - INFO - Epoch(train) [94][920/3757] lr: 1.0000e-04 eta: 4:41:53 time: 0.6013 data_time: 0.0249 memory: 17350 grad_norm: 9.3517 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9497 loss: 0.9497 2022/07/24 22:47:48 - mmengine - INFO - Epoch(train) [94][940/3757] lr: 1.0000e-04 eta: 4:41:40 time: 0.7531 data_time: 0.0222 memory: 17350 grad_norm: 9.0744 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0773 loss: 1.0773 2022/07/24 22:48:01 - mmengine - INFO - Epoch(train) [94][960/3757] lr: 1.0000e-04 eta: 4:41:27 time: 0.6315 data_time: 0.0220 memory: 17350 grad_norm: 9.1261 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8540 loss: 0.8540 2022/07/24 22:48:15 - mmengine - INFO - Epoch(train) [94][980/3757] lr: 1.0000e-04 eta: 4:41:14 time: 0.7041 data_time: 0.0242 memory: 17350 grad_norm: 9.2345 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1308 loss: 1.1308 2022/07/24 22:48:28 - mmengine - INFO - Epoch(train) [94][1000/3757] lr: 1.0000e-04 eta: 4:41:00 time: 0.6303 data_time: 0.0235 memory: 17350 grad_norm: 8.8771 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9130 loss: 0.9130 2022/07/24 22:48:42 - mmengine - INFO - Epoch(train) [94][1020/3757] lr: 1.0000e-04 eta: 4:40:47 time: 0.7186 data_time: 0.0224 memory: 17350 grad_norm: 8.7295 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0065 loss: 1.0065 2022/07/24 22:48:53 - mmengine - INFO - Epoch(train) [94][1040/3757] lr: 1.0000e-04 eta: 4:40:33 time: 0.5724 data_time: 0.0231 memory: 17350 grad_norm: 8.7889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2681 loss: 1.2681 2022/07/24 22:49:08 - mmengine - INFO - Epoch(train) [94][1060/3757] lr: 1.0000e-04 eta: 4:40:20 time: 0.7331 data_time: 0.0230 memory: 17350 grad_norm: 9.1649 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9951 loss: 0.9951 2022/07/24 22:49:20 - mmengine - INFO - Epoch(train) [94][1080/3757] lr: 1.0000e-04 eta: 4:40:07 time: 0.5891 data_time: 0.0230 memory: 17350 grad_norm: 8.9925 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8625 loss: 0.8625 2022/07/24 22:49:34 - mmengine - INFO - Epoch(train) [94][1100/3757] lr: 1.0000e-04 eta: 4:39:53 time: 0.7119 data_time: 0.0232 memory: 17350 grad_norm: 9.2109 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9012 loss: 0.9012 2022/07/24 22:49:46 - mmengine - INFO - Epoch(train) [94][1120/3757] lr: 1.0000e-04 eta: 4:39:40 time: 0.6136 data_time: 0.0237 memory: 17350 grad_norm: 8.8301 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9017 loss: 0.9017 2022/07/24 22:50:01 - mmengine - INFO - Epoch(train) [94][1140/3757] lr: 1.0000e-04 eta: 4:39:27 time: 0.7060 data_time: 0.0229 memory: 17350 grad_norm: 8.8861 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9343 loss: 0.9343 2022/07/24 22:50:13 - mmengine - INFO - Epoch(train) [94][1160/3757] lr: 1.0000e-04 eta: 4:39:13 time: 0.6328 data_time: 0.0230 memory: 17350 grad_norm: 8.9664 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0812 loss: 1.0812 2022/07/24 22:50:28 - mmengine - INFO - Epoch(train) [94][1180/3757] lr: 1.0000e-04 eta: 4:39:00 time: 0.7203 data_time: 0.0230 memory: 17350 grad_norm: 8.9911 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7823 loss: 0.7823 2022/07/24 22:50:40 - mmengine - INFO - Epoch(train) [94][1200/3757] lr: 1.0000e-04 eta: 4:38:47 time: 0.6148 data_time: 0.0257 memory: 17350 grad_norm: 9.2262 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8187 loss: 0.8187 2022/07/24 22:50:55 - mmengine - INFO - Epoch(train) [94][1220/3757] lr: 1.0000e-04 eta: 4:38:34 time: 0.7358 data_time: 0.0254 memory: 17350 grad_norm: 8.8464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9656 loss: 0.9656 2022/07/24 22:51:07 - mmengine - INFO - Epoch(train) [94][1240/3757] lr: 1.0000e-04 eta: 4:38:20 time: 0.6314 data_time: 0.0229 memory: 17350 grad_norm: 8.8496 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8638 loss: 0.8638 2022/07/24 22:51:21 - mmengine - INFO - Epoch(train) [94][1260/3757] lr: 1.0000e-04 eta: 4:38:07 time: 0.6994 data_time: 0.0220 memory: 17350 grad_norm: 8.5707 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9551 loss: 0.9551 2022/07/24 22:51:34 - mmengine - INFO - Epoch(train) [94][1280/3757] lr: 1.0000e-04 eta: 4:37:53 time: 0.6250 data_time: 0.0262 memory: 17350 grad_norm: 8.9988 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9631 loss: 0.9631 2022/07/24 22:51:49 - mmengine - INFO - Epoch(train) [94][1300/3757] lr: 1.0000e-04 eta: 4:37:40 time: 0.7313 data_time: 0.0241 memory: 17350 grad_norm: 9.1146 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9093 loss: 0.9093 2022/07/24 22:52:00 - mmengine - INFO - Epoch(train) [94][1320/3757] lr: 1.0000e-04 eta: 4:37:27 time: 0.5805 data_time: 0.0248 memory: 17350 grad_norm: 8.9687 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9587 loss: 0.9587 2022/07/24 22:52:14 - mmengine - INFO - Epoch(train) [94][1340/3757] lr: 1.0000e-04 eta: 4:37:14 time: 0.6954 data_time: 0.0227 memory: 17350 grad_norm: 9.1271 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9396 loss: 0.9396 2022/07/24 22:52:26 - mmengine - INFO - Epoch(train) [94][1360/3757] lr: 1.0000e-04 eta: 4:37:00 time: 0.5780 data_time: 0.0229 memory: 17350 grad_norm: 8.8511 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8724 loss: 0.8724 2022/07/24 22:52:40 - mmengine - INFO - Epoch(train) [94][1380/3757] lr: 1.0000e-04 eta: 4:36:47 time: 0.6999 data_time: 0.0247 memory: 17350 grad_norm: 8.5437 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8752 loss: 0.8752 2022/07/24 22:52:52 - mmengine - INFO - Epoch(train) [94][1400/3757] lr: 1.0000e-04 eta: 4:36:33 time: 0.5878 data_time: 0.0216 memory: 17350 grad_norm: 8.7807 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9432 loss: 0.9432 2022/07/24 22:53:05 - mmengine - INFO - Epoch(train) [94][1420/3757] lr: 1.0000e-04 eta: 4:36:20 time: 0.6980 data_time: 0.0237 memory: 17350 grad_norm: 9.0508 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0125 loss: 1.0125 2022/07/24 22:53:17 - mmengine - INFO - Epoch(train) [94][1440/3757] lr: 1.0000e-04 eta: 4:36:07 time: 0.5986 data_time: 0.0225 memory: 17350 grad_norm: 9.2372 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8878 loss: 0.8878 2022/07/24 22:53:33 - mmengine - INFO - Epoch(train) [94][1460/3757] lr: 1.0000e-04 eta: 4:35:53 time: 0.7650 data_time: 0.0217 memory: 17350 grad_norm: 8.7894 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6555 loss: 0.6555 2022/07/24 22:53:45 - mmengine - INFO - Epoch(train) [94][1480/3757] lr: 1.0000e-04 eta: 4:35:40 time: 0.5882 data_time: 0.0224 memory: 17350 grad_norm: 9.2360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8523 loss: 0.8523 2022/07/24 22:53:59 - mmengine - INFO - Epoch(train) [94][1500/3757] lr: 1.0000e-04 eta: 4:35:27 time: 0.7116 data_time: 0.0233 memory: 17350 grad_norm: 9.0333 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8887 loss: 0.8887 2022/07/24 22:54:10 - mmengine - INFO - Epoch(train) [94][1520/3757] lr: 1.0000e-04 eta: 4:35:13 time: 0.5792 data_time: 0.0242 memory: 17350 grad_norm: 9.6752 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9612 loss: 0.9612 2022/07/24 22:54:25 - mmengine - INFO - Epoch(train) [94][1540/3757] lr: 1.0000e-04 eta: 4:35:00 time: 0.7363 data_time: 0.0223 memory: 17350 grad_norm: 9.1791 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3076 loss: 1.3076 2022/07/24 22:54:37 - mmengine - INFO - Epoch(train) [94][1560/3757] lr: 1.0000e-04 eta: 4:34:47 time: 0.6026 data_time: 0.0230 memory: 17350 grad_norm: 9.1729 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9217 loss: 0.9217 2022/07/24 22:54:51 - mmengine - INFO - Epoch(train) [94][1580/3757] lr: 1.0000e-04 eta: 4:34:33 time: 0.6880 data_time: 0.0223 memory: 17350 grad_norm: 9.4354 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1473 loss: 1.1473 2022/07/24 22:55:04 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 22:55:05 - mmengine - INFO - Epoch(train) [94][1600/3757] lr: 1.0000e-04 eta: 4:34:20 time: 0.6818 data_time: 0.0655 memory: 17350 grad_norm: 9.4080 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0077 loss: 1.0077 2022/07/24 22:55:18 - mmengine - INFO - Epoch(train) [94][1620/3757] lr: 1.0000e-04 eta: 4:34:07 time: 0.6794 data_time: 0.1267 memory: 17350 grad_norm: 8.7326 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2402 loss: 1.2402 2022/07/24 22:55:31 - mmengine - INFO - Epoch(train) [94][1640/3757] lr: 1.0000e-04 eta: 4:33:53 time: 0.6449 data_time: 0.0790 memory: 17350 grad_norm: 8.8486 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9231 loss: 0.9231 2022/07/24 22:55:44 - mmengine - INFO - Epoch(train) [94][1660/3757] lr: 1.0000e-04 eta: 4:33:40 time: 0.6442 data_time: 0.0758 memory: 17350 grad_norm: 9.2113 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8230 loss: 0.8230 2022/07/24 22:55:58 - mmengine - INFO - Epoch(train) [94][1680/3757] lr: 1.0000e-04 eta: 4:33:27 time: 0.6782 data_time: 0.1456 memory: 17350 grad_norm: 8.5156 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1265 loss: 1.1265 2022/07/24 22:56:11 - mmengine - INFO - Epoch(train) [94][1700/3757] lr: 1.0000e-04 eta: 4:33:13 time: 0.6484 data_time: 0.1957 memory: 17350 grad_norm: 9.1021 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9602 loss: 0.9602 2022/07/24 22:56:25 - mmengine - INFO - Epoch(train) [94][1720/3757] lr: 1.0000e-04 eta: 4:33:00 time: 0.7144 data_time: 0.3661 memory: 17350 grad_norm: 8.9539 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8024 loss: 0.8024 2022/07/24 22:56:37 - mmengine - INFO - Epoch(train) [94][1740/3757] lr: 1.0000e-04 eta: 4:32:47 time: 0.6113 data_time: 0.2250 memory: 17350 grad_norm: 9.0180 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1222 loss: 1.1222 2022/07/24 22:56:52 - mmengine - INFO - Epoch(train) [94][1760/3757] lr: 1.0000e-04 eta: 4:32:33 time: 0.7183 data_time: 0.2972 memory: 17350 grad_norm: 9.0691 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9876 loss: 0.9876 2022/07/24 22:57:05 - mmengine - INFO - Epoch(train) [94][1780/3757] lr: 1.0000e-04 eta: 4:32:20 time: 0.6483 data_time: 0.1421 memory: 17350 grad_norm: 8.9005 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8174 loss: 0.8174 2022/07/24 22:57:17 - mmengine - INFO - Epoch(train) [94][1800/3757] lr: 1.0000e-04 eta: 4:32:07 time: 0.6146 data_time: 0.0919 memory: 17350 grad_norm: 9.0450 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9050 loss: 0.9050 2022/07/24 22:57:31 - mmengine - INFO - Epoch(train) [94][1820/3757] lr: 1.0000e-04 eta: 4:31:53 time: 0.6873 data_time: 0.0733 memory: 17350 grad_norm: 9.1293 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7467 loss: 0.7467 2022/07/24 22:57:43 - mmengine - INFO - Epoch(train) [94][1840/3757] lr: 1.0000e-04 eta: 4:31:40 time: 0.6194 data_time: 0.0390 memory: 17350 grad_norm: 8.8703 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9226 loss: 0.9226 2022/07/24 22:57:57 - mmengine - INFO - Epoch(train) [94][1860/3757] lr: 1.0000e-04 eta: 4:31:27 time: 0.7058 data_time: 0.0250 memory: 17350 grad_norm: 9.2217 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8509 loss: 0.8509 2022/07/24 22:58:09 - mmengine - INFO - Epoch(train) [94][1880/3757] lr: 1.0000e-04 eta: 4:31:13 time: 0.5917 data_time: 0.0525 memory: 17350 grad_norm: 8.8785 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9680 loss: 0.9680 2022/07/24 22:58:24 - mmengine - INFO - Epoch(train) [94][1900/3757] lr: 1.0000e-04 eta: 4:31:00 time: 0.7196 data_time: 0.0562 memory: 17350 grad_norm: 9.2452 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8799 loss: 0.8799 2022/07/24 22:58:37 - mmengine - INFO - Epoch(train) [94][1920/3757] lr: 1.0000e-04 eta: 4:30:47 time: 0.6627 data_time: 0.1295 memory: 17350 grad_norm: 9.2305 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9203 loss: 0.9203 2022/07/24 22:58:53 - mmengine - INFO - Epoch(train) [94][1940/3757] lr: 1.0000e-04 eta: 4:30:34 time: 0.7949 data_time: 0.0244 memory: 17350 grad_norm: 8.8167 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9810 loss: 0.9810 2022/07/24 22:59:05 - mmengine - INFO - Epoch(train) [94][1960/3757] lr: 1.0000e-04 eta: 4:30:20 time: 0.6037 data_time: 0.0241 memory: 17350 grad_norm: 9.1220 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7290 loss: 0.7290 2022/07/24 22:59:19 - mmengine - INFO - Epoch(train) [94][1980/3757] lr: 1.0000e-04 eta: 4:30:07 time: 0.7305 data_time: 0.0211 memory: 17350 grad_norm: 8.8087 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0973 loss: 1.0973 2022/07/24 22:59:31 - mmengine - INFO - Epoch(train) [94][2000/3757] lr: 1.0000e-04 eta: 4:29:53 time: 0.5960 data_time: 0.0245 memory: 17350 grad_norm: 8.9719 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8138 loss: 0.8138 2022/07/24 22:59:45 - mmengine - INFO - Epoch(train) [94][2020/3757] lr: 1.0000e-04 eta: 4:29:40 time: 0.6853 data_time: 0.0214 memory: 17350 grad_norm: 8.8888 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8021 loss: 0.8021 2022/07/24 22:59:57 - mmengine - INFO - Epoch(train) [94][2040/3757] lr: 1.0000e-04 eta: 4:29:27 time: 0.5744 data_time: 0.0248 memory: 17350 grad_norm: 9.2521 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0958 loss: 1.0958 2022/07/24 23:00:11 - mmengine - INFO - Epoch(train) [94][2060/3757] lr: 1.0000e-04 eta: 4:29:13 time: 0.7116 data_time: 0.0523 memory: 17350 grad_norm: 9.0111 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0716 loss: 1.0716 2022/07/24 23:00:24 - mmengine - INFO - Epoch(train) [94][2080/3757] lr: 1.0000e-04 eta: 4:29:00 time: 0.6539 data_time: 0.0561 memory: 17350 grad_norm: 9.3082 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9671 loss: 0.9671 2022/07/24 23:00:37 - mmengine - INFO - Epoch(train) [94][2100/3757] lr: 1.0000e-04 eta: 4:28:47 time: 0.6618 data_time: 0.0223 memory: 17350 grad_norm: 9.4462 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1869 loss: 1.1869 2022/07/24 23:00:50 - mmengine - INFO - Epoch(train) [94][2120/3757] lr: 1.0000e-04 eta: 4:28:33 time: 0.6314 data_time: 0.0303 memory: 17350 grad_norm: 9.2698 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9917 loss: 0.9917 2022/07/24 23:01:04 - mmengine - INFO - Epoch(train) [94][2140/3757] lr: 1.0000e-04 eta: 4:28:20 time: 0.6936 data_time: 0.0237 memory: 17350 grad_norm: 9.1075 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8990 loss: 0.8990 2022/07/24 23:01:17 - mmengine - INFO - Epoch(train) [94][2160/3757] lr: 1.0000e-04 eta: 4:28:07 time: 0.6686 data_time: 0.0240 memory: 17350 grad_norm: 9.1580 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9626 loss: 0.9626 2022/07/24 23:01:30 - mmengine - INFO - Epoch(train) [94][2180/3757] lr: 1.0000e-04 eta: 4:27:53 time: 0.6536 data_time: 0.0223 memory: 17350 grad_norm: 9.2901 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1794 loss: 1.1794 2022/07/24 23:01:44 - mmengine - INFO - Epoch(train) [94][2200/3757] lr: 1.0000e-04 eta: 4:27:40 time: 0.6714 data_time: 0.0226 memory: 17350 grad_norm: 9.2814 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8639 loss: 0.8639 2022/07/24 23:01:57 - mmengine - INFO - Epoch(train) [94][2220/3757] lr: 1.0000e-04 eta: 4:27:27 time: 0.6532 data_time: 0.0229 memory: 17350 grad_norm: 8.8528 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8554 loss: 0.8554 2022/07/24 23:02:10 - mmengine - INFO - Epoch(train) [94][2240/3757] lr: 1.0000e-04 eta: 4:27:13 time: 0.6558 data_time: 0.0229 memory: 17350 grad_norm: 9.2385 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2442 loss: 1.2442 2022/07/24 23:02:23 - mmengine - INFO - Epoch(train) [94][2260/3757] lr: 1.0000e-04 eta: 4:27:00 time: 0.6456 data_time: 0.0303 memory: 17350 grad_norm: 8.7814 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9420 loss: 0.9420 2022/07/24 23:02:36 - mmengine - INFO - Epoch(train) [94][2280/3757] lr: 1.0000e-04 eta: 4:26:47 time: 0.6671 data_time: 0.0912 memory: 17350 grad_norm: 8.6223 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7788 loss: 0.7788 2022/07/24 23:02:49 - mmengine - INFO - Epoch(train) [94][2300/3757] lr: 1.0000e-04 eta: 4:26:33 time: 0.6412 data_time: 0.1572 memory: 17350 grad_norm: 9.3900 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9357 loss: 0.9357 2022/07/24 23:03:03 - mmengine - INFO - Epoch(train) [94][2320/3757] lr: 1.0000e-04 eta: 4:26:20 time: 0.7153 data_time: 0.0734 memory: 17350 grad_norm: 8.9950 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1535 loss: 1.1535 2022/07/24 23:03:16 - mmengine - INFO - Epoch(train) [94][2340/3757] lr: 1.0000e-04 eta: 4:26:07 time: 0.6502 data_time: 0.0361 memory: 17350 grad_norm: 8.9600 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8623 loss: 0.8623 2022/07/24 23:03:30 - mmengine - INFO - Epoch(train) [94][2360/3757] lr: 1.0000e-04 eta: 4:25:53 time: 0.6574 data_time: 0.0210 memory: 17350 grad_norm: 9.1146 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8574 loss: 0.8574 2022/07/24 23:03:44 - mmengine - INFO - Epoch(train) [94][2380/3757] lr: 1.0000e-04 eta: 4:25:40 time: 0.7009 data_time: 0.1801 memory: 17350 grad_norm: 8.7771 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9288 loss: 0.9288 2022/07/24 23:03:57 - mmengine - INFO - Epoch(train) [94][2400/3757] lr: 1.0000e-04 eta: 4:25:27 time: 0.6513 data_time: 0.2300 memory: 17350 grad_norm: 8.2979 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9742 loss: 0.9742 2022/07/24 23:04:10 - mmengine - INFO - Epoch(train) [94][2420/3757] lr: 1.0000e-04 eta: 4:25:13 time: 0.6682 data_time: 0.3138 memory: 17350 grad_norm: 9.2470 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7717 loss: 0.7717 2022/07/24 23:04:24 - mmengine - INFO - Epoch(train) [94][2440/3757] lr: 1.0000e-04 eta: 4:25:00 time: 0.6798 data_time: 0.2665 memory: 17350 grad_norm: 9.1517 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8854 loss: 0.8854 2022/07/24 23:04:37 - mmengine - INFO - Epoch(train) [94][2460/3757] lr: 1.0000e-04 eta: 4:24:47 time: 0.6771 data_time: 0.2786 memory: 17350 grad_norm: 8.5636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8256 loss: 0.8256 2022/07/24 23:04:50 - mmengine - INFO - Epoch(train) [94][2480/3757] lr: 1.0000e-04 eta: 4:24:33 time: 0.6287 data_time: 0.1823 memory: 17350 grad_norm: 8.6575 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7153 loss: 0.7153 2022/07/24 23:05:03 - mmengine - INFO - Epoch(train) [94][2500/3757] lr: 1.0000e-04 eta: 4:24:20 time: 0.6499 data_time: 0.2107 memory: 17350 grad_norm: 8.6613 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9907 loss: 0.9907 2022/07/24 23:05:17 - mmengine - INFO - Epoch(train) [94][2520/3757] lr: 1.0000e-04 eta: 4:24:07 time: 0.7192 data_time: 0.1256 memory: 17350 grad_norm: 8.9027 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0561 loss: 1.0561 2022/07/24 23:05:30 - mmengine - INFO - Epoch(train) [94][2540/3757] lr: 1.0000e-04 eta: 4:23:53 time: 0.6264 data_time: 0.0466 memory: 17350 grad_norm: 9.0966 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9859 loss: 0.9859 2022/07/24 23:05:44 - mmengine - INFO - Epoch(train) [94][2560/3757] lr: 1.0000e-04 eta: 4:23:40 time: 0.7215 data_time: 0.0425 memory: 17350 grad_norm: 9.1463 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4274 loss: 1.4274 2022/07/24 23:05:56 - mmengine - INFO - Epoch(train) [94][2580/3757] lr: 1.0000e-04 eta: 4:23:27 time: 0.6115 data_time: 0.0383 memory: 17350 grad_norm: 9.3377 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0784 loss: 1.0784 2022/07/24 23:06:11 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 23:06:11 - mmengine - INFO - Epoch(train) [94][2600/3757] lr: 1.0000e-04 eta: 4:23:14 time: 0.7340 data_time: 0.0233 memory: 17350 grad_norm: 9.1076 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9919 loss: 0.9919 2022/07/24 23:06:24 - mmengine - INFO - Epoch(train) [94][2620/3757] lr: 1.0000e-04 eta: 4:23:00 time: 0.6230 data_time: 0.1107 memory: 17350 grad_norm: 8.7588 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9932 loss: 0.9932 2022/07/24 23:06:36 - mmengine - INFO - Epoch(train) [94][2640/3757] lr: 1.0000e-04 eta: 4:22:47 time: 0.6362 data_time: 0.2062 memory: 17350 grad_norm: 9.1808 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8932 loss: 0.8932 2022/07/24 23:06:50 - mmengine - INFO - Epoch(train) [94][2660/3757] lr: 1.0000e-04 eta: 4:22:33 time: 0.6595 data_time: 0.1670 memory: 17350 grad_norm: 9.4581 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8831 loss: 0.8831 2022/07/24 23:07:03 - mmengine - INFO - Epoch(train) [94][2680/3757] lr: 1.0000e-04 eta: 4:22:20 time: 0.6787 data_time: 0.0756 memory: 17350 grad_norm: 8.9045 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9850 loss: 0.9850 2022/07/24 23:07:16 - mmengine - INFO - Epoch(train) [94][2700/3757] lr: 1.0000e-04 eta: 4:22:07 time: 0.6233 data_time: 0.1475 memory: 17350 grad_norm: 9.2302 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9218 loss: 0.9218 2022/07/24 23:07:30 - mmengine - INFO - Epoch(train) [94][2720/3757] lr: 1.0000e-04 eta: 4:21:53 time: 0.7071 data_time: 0.0619 memory: 17350 grad_norm: 9.3518 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1468 loss: 1.1468 2022/07/24 23:07:43 - mmengine - INFO - Epoch(train) [94][2740/3757] lr: 1.0000e-04 eta: 4:21:40 time: 0.6377 data_time: 0.0563 memory: 17350 grad_norm: 8.9552 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9764 loss: 0.9764 2022/07/24 23:07:57 - mmengine - INFO - Epoch(train) [94][2760/3757] lr: 1.0000e-04 eta: 4:21:27 time: 0.6946 data_time: 0.0416 memory: 17350 grad_norm: 9.0344 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0224 loss: 1.0224 2022/07/24 23:08:09 - mmengine - INFO - Epoch(train) [94][2780/3757] lr: 1.0000e-04 eta: 4:21:13 time: 0.6415 data_time: 0.0302 memory: 17350 grad_norm: 8.9997 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1041 loss: 1.1041 2022/07/24 23:08:25 - mmengine - INFO - Epoch(train) [94][2800/3757] lr: 1.0000e-04 eta: 4:21:00 time: 0.7637 data_time: 0.0227 memory: 17350 grad_norm: 8.8597 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9360 loss: 0.9360 2022/07/24 23:08:36 - mmengine - INFO - Epoch(train) [94][2820/3757] lr: 1.0000e-04 eta: 4:20:47 time: 0.5705 data_time: 0.0243 memory: 17350 grad_norm: 9.0781 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0702 loss: 1.0702 2022/07/24 23:08:50 - mmengine - INFO - Epoch(train) [94][2840/3757] lr: 1.0000e-04 eta: 4:20:34 time: 0.7075 data_time: 0.0218 memory: 17350 grad_norm: 9.5192 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2604 loss: 1.2604 2022/07/24 23:09:03 - mmengine - INFO - Epoch(train) [94][2860/3757] lr: 1.0000e-04 eta: 4:20:20 time: 0.6109 data_time: 0.0242 memory: 17350 grad_norm: 9.1015 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.8731 loss: 0.8731 2022/07/24 23:09:18 - mmengine - INFO - Epoch(train) [94][2880/3757] lr: 1.0000e-04 eta: 4:20:07 time: 0.7580 data_time: 0.0217 memory: 17350 grad_norm: 9.1446 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1368 loss: 1.1368 2022/07/24 23:09:29 - mmengine - INFO - Epoch(train) [94][2900/3757] lr: 1.0000e-04 eta: 4:19:53 time: 0.5843 data_time: 0.0240 memory: 17350 grad_norm: 9.1929 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0782 loss: 1.0782 2022/07/24 23:09:44 - mmengine - INFO - Epoch(train) [94][2920/3757] lr: 1.0000e-04 eta: 4:19:40 time: 0.7380 data_time: 0.0225 memory: 17350 grad_norm: 8.9098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8785 loss: 0.8785 2022/07/24 23:09:56 - mmengine - INFO - Epoch(train) [94][2940/3757] lr: 1.0000e-04 eta: 4:19:27 time: 0.5799 data_time: 0.0244 memory: 17350 grad_norm: 9.2678 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9664 loss: 0.9664 2022/07/24 23:10:11 - mmengine - INFO - Epoch(train) [94][2960/3757] lr: 1.0000e-04 eta: 4:19:14 time: 0.7423 data_time: 0.0226 memory: 17350 grad_norm: 9.5928 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0211 loss: 1.0211 2022/07/24 23:10:23 - mmengine - INFO - Epoch(train) [94][2980/3757] lr: 1.0000e-04 eta: 4:19:00 time: 0.6162 data_time: 0.0254 memory: 17350 grad_norm: 8.9400 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0514 loss: 1.0514 2022/07/24 23:10:37 - mmengine - INFO - Epoch(train) [94][3000/3757] lr: 1.0000e-04 eta: 4:18:47 time: 0.6932 data_time: 0.0219 memory: 17350 grad_norm: 8.9487 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9191 loss: 0.9191 2022/07/24 23:10:50 - mmengine - INFO - Epoch(train) [94][3020/3757] lr: 1.0000e-04 eta: 4:18:34 time: 0.6585 data_time: 0.0247 memory: 17350 grad_norm: 8.9289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1066 loss: 1.1066 2022/07/24 23:11:04 - mmengine - INFO - Epoch(train) [94][3040/3757] lr: 1.0000e-04 eta: 4:18:20 time: 0.7136 data_time: 0.0226 memory: 17350 grad_norm: 9.5079 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8946 loss: 0.8946 2022/07/24 23:11:16 - mmengine - INFO - Epoch(train) [94][3060/3757] lr: 1.0000e-04 eta: 4:18:07 time: 0.5960 data_time: 0.0225 memory: 17350 grad_norm: 9.0601 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0876 loss: 1.0876 2022/07/24 23:11:31 - mmengine - INFO - Epoch(train) [94][3080/3757] lr: 1.0000e-04 eta: 4:17:54 time: 0.7540 data_time: 0.0232 memory: 17350 grad_norm: 9.0569 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8165 loss: 0.8165 2022/07/24 23:11:44 - mmengine - INFO - Epoch(train) [94][3100/3757] lr: 1.0000e-04 eta: 4:17:40 time: 0.6105 data_time: 0.0275 memory: 17350 grad_norm: 8.9827 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9521 loss: 0.9521 2022/07/24 23:11:58 - mmengine - INFO - Epoch(train) [94][3120/3757] lr: 1.0000e-04 eta: 4:17:27 time: 0.7067 data_time: 0.0210 memory: 17350 grad_norm: 9.4731 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1225 loss: 1.1225 2022/07/24 23:12:10 - mmengine - INFO - Epoch(train) [94][3140/3757] lr: 1.0000e-04 eta: 4:17:14 time: 0.5908 data_time: 0.0230 memory: 17350 grad_norm: 9.2959 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1332 loss: 1.1332 2022/07/24 23:12:24 - mmengine - INFO - Epoch(train) [94][3160/3757] lr: 1.0000e-04 eta: 4:17:00 time: 0.7058 data_time: 0.0224 memory: 17350 grad_norm: 8.9569 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9418 loss: 0.9418 2022/07/24 23:12:36 - mmengine - INFO - Epoch(train) [94][3180/3757] lr: 1.0000e-04 eta: 4:16:47 time: 0.6294 data_time: 0.0238 memory: 17350 grad_norm: 9.1757 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0374 loss: 1.0374 2022/07/24 23:12:51 - mmengine - INFO - Epoch(train) [94][3200/3757] lr: 1.0000e-04 eta: 4:16:34 time: 0.7304 data_time: 0.0215 memory: 17350 grad_norm: 9.0475 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0918 loss: 1.0918 2022/07/24 23:13:03 - mmengine - INFO - Epoch(train) [94][3220/3757] lr: 1.0000e-04 eta: 4:16:20 time: 0.5858 data_time: 0.0247 memory: 17350 grad_norm: 8.5218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7515 loss: 0.7515 2022/07/24 23:13:17 - mmengine - INFO - Epoch(train) [94][3240/3757] lr: 1.0000e-04 eta: 4:16:07 time: 0.7170 data_time: 0.0221 memory: 17350 grad_norm: 8.9302 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9560 loss: 0.9560 2022/07/24 23:13:29 - mmengine - INFO - Epoch(train) [94][3260/3757] lr: 1.0000e-04 eta: 4:15:54 time: 0.6118 data_time: 0.0249 memory: 17350 grad_norm: 8.7178 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9982 loss: 0.9982 2022/07/24 23:13:45 - mmengine - INFO - Epoch(train) [94][3280/3757] lr: 1.0000e-04 eta: 4:15:40 time: 0.7790 data_time: 0.0212 memory: 17350 grad_norm: 9.3027 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0688 loss: 1.0688 2022/07/24 23:13:56 - mmengine - INFO - Epoch(train) [94][3300/3757] lr: 1.0000e-04 eta: 4:15:27 time: 0.5695 data_time: 0.0227 memory: 17350 grad_norm: 8.6731 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8333 loss: 0.8333 2022/07/24 23:14:11 - mmengine - INFO - Epoch(train) [94][3320/3757] lr: 1.0000e-04 eta: 4:15:14 time: 0.7348 data_time: 0.0213 memory: 17350 grad_norm: 8.6124 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9018 loss: 0.9018 2022/07/24 23:14:23 - mmengine - INFO - Epoch(train) [94][3340/3757] lr: 1.0000e-04 eta: 4:15:00 time: 0.6020 data_time: 0.0252 memory: 17350 grad_norm: 9.4143 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0615 loss: 1.0615 2022/07/24 23:14:38 - mmengine - INFO - Epoch(train) [94][3360/3757] lr: 1.0000e-04 eta: 4:14:47 time: 0.7282 data_time: 0.0170 memory: 17350 grad_norm: 9.6761 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9023 loss: 0.9023 2022/07/24 23:14:50 - mmengine - INFO - Epoch(train) [94][3380/3757] lr: 1.0000e-04 eta: 4:14:34 time: 0.6199 data_time: 0.0275 memory: 17350 grad_norm: 8.8434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8992 loss: 0.8992 2022/07/24 23:15:06 - mmengine - INFO - Epoch(train) [94][3400/3757] lr: 1.0000e-04 eta: 4:14:20 time: 0.7755 data_time: 0.0217 memory: 17350 grad_norm: 9.0981 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0101 loss: 1.0101 2022/07/24 23:15:17 - mmengine - INFO - Epoch(train) [94][3420/3757] lr: 1.0000e-04 eta: 4:14:07 time: 0.5774 data_time: 0.0259 memory: 17350 grad_norm: 8.3192 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9426 loss: 0.9426 2022/07/24 23:15:32 - mmengine - INFO - Epoch(train) [94][3440/3757] lr: 1.0000e-04 eta: 4:13:54 time: 0.7445 data_time: 0.0213 memory: 17350 grad_norm: 9.1278 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8976 loss: 0.8976 2022/07/24 23:15:44 - mmengine - INFO - Epoch(train) [94][3460/3757] lr: 1.0000e-04 eta: 4:13:40 time: 0.5707 data_time: 0.0230 memory: 17350 grad_norm: 9.0384 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8601 loss: 0.8601 2022/07/24 23:15:58 - mmengine - INFO - Epoch(train) [94][3480/3757] lr: 1.0000e-04 eta: 4:13:27 time: 0.7413 data_time: 0.0149 memory: 17350 grad_norm: 9.2264 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9843 loss: 0.9843 2022/07/24 23:16:11 - mmengine - INFO - Epoch(train) [94][3500/3757] lr: 1.0000e-04 eta: 4:13:14 time: 0.6185 data_time: 0.0254 memory: 17350 grad_norm: 8.9314 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7916 loss: 0.7916 2022/07/24 23:16:26 - mmengine - INFO - Epoch(train) [94][3520/3757] lr: 1.0000e-04 eta: 4:13:00 time: 0.7514 data_time: 0.0228 memory: 17350 grad_norm: 9.0095 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1063 loss: 1.1063 2022/07/24 23:16:36 - mmengine - INFO - Epoch(train) [94][3540/3757] lr: 1.0000e-04 eta: 4:12:47 time: 0.5177 data_time: 0.0223 memory: 17350 grad_norm: 9.0170 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 0.9619 loss: 0.9619 2022/07/24 23:16:50 - mmengine - INFO - Epoch(train) [94][3560/3757] lr: 1.0000e-04 eta: 4:12:34 time: 0.7007 data_time: 0.0200 memory: 17350 grad_norm: 8.6478 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0094 loss: 1.0094 2022/07/24 23:17:02 - mmengine - INFO - Epoch(train) [94][3580/3757] lr: 1.0000e-04 eta: 4:12:20 time: 0.5755 data_time: 0.0224 memory: 17350 grad_norm: 9.0236 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8008 loss: 0.8008 2022/07/24 23:17:16 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 23:17:16 - mmengine - INFO - Epoch(train) [94][3600/3757] lr: 1.0000e-04 eta: 4:12:07 time: 0.7283 data_time: 0.0243 memory: 17350 grad_norm: 8.7701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8403 loss: 0.8403 2022/07/24 23:17:28 - mmengine - INFO - Epoch(train) [94][3620/3757] lr: 1.0000e-04 eta: 4:11:53 time: 0.5764 data_time: 0.0214 memory: 17350 grad_norm: 8.7328 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8956 loss: 0.8956 2022/07/24 23:17:42 - mmengine - INFO - Epoch(train) [94][3640/3757] lr: 1.0000e-04 eta: 4:11:40 time: 0.7134 data_time: 0.0222 memory: 17350 grad_norm: 9.2521 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9554 loss: 0.9554 2022/07/24 23:17:55 - mmengine - INFO - Epoch(train) [94][3660/3757] lr: 1.0000e-04 eta: 4:11:27 time: 0.6197 data_time: 0.0260 memory: 17350 grad_norm: 9.1932 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0234 loss: 1.0234 2022/07/24 23:18:10 - mmengine - INFO - Epoch(train) [94][3680/3757] lr: 1.0000e-04 eta: 4:11:14 time: 0.7534 data_time: 0.0249 memory: 17350 grad_norm: 9.0557 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9580 loss: 0.9580 2022/07/24 23:18:22 - mmengine - INFO - Epoch(train) [94][3700/3757] lr: 1.0000e-04 eta: 4:11:00 time: 0.5976 data_time: 0.0230 memory: 17350 grad_norm: 9.4032 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0936 loss: 1.0936 2022/07/24 23:18:37 - mmengine - INFO - Epoch(train) [94][3720/3757] lr: 1.0000e-04 eta: 4:10:47 time: 0.7746 data_time: 0.0236 memory: 17350 grad_norm: 8.7534 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8644 loss: 0.8644 2022/07/24 23:18:49 - mmengine - INFO - Epoch(train) [94][3740/3757] lr: 1.0000e-04 eta: 4:10:34 time: 0.5941 data_time: 0.0235 memory: 17350 grad_norm: 9.2511 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9727 loss: 0.9727 2022/07/24 23:18:57 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 23:18:57 - mmengine - INFO - Epoch(train) [94][3757/3757] lr: 1.0000e-04 eta: 4:10:34 time: 0.4565 data_time: 0.0219 memory: 17350 grad_norm: 8.9318 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8548 loss: 0.8548 2022/07/24 23:19:14 - mmengine - INFO - Epoch(val) [94][20/310] eta: 0:04:03 time: 0.8408 data_time: 0.7249 memory: 3406 2022/07/24 23:19:25 - mmengine - INFO - Epoch(val) [94][40/310] eta: 0:02:25 time: 0.5374 data_time: 0.4239 memory: 3406 2022/07/24 23:19:40 - mmengine - INFO - Epoch(val) [94][60/310] eta: 0:03:11 time: 0.7657 data_time: 0.6495 memory: 3406 2022/07/24 23:19:51 - mmengine - INFO - Epoch(val) [94][80/310] eta: 0:02:06 time: 0.5506 data_time: 0.4385 memory: 3406 2022/07/24 23:20:07 - mmengine - INFO - Epoch(val) [94][100/310] eta: 0:02:44 time: 0.7827 data_time: 0.6698 memory: 3406 2022/07/24 23:20:18 - mmengine - INFO - Epoch(val) [94][120/310] eta: 0:01:41 time: 0.5354 data_time: 0.4233 memory: 3406 2022/07/24 23:20:33 - mmengine - INFO - Epoch(val) [94][140/310] eta: 0:02:12 time: 0.7799 data_time: 0.6676 memory: 3406 2022/07/24 23:20:44 - mmengine - INFO - Epoch(val) [94][160/310] eta: 0:01:20 time: 0.5364 data_time: 0.4171 memory: 3406 2022/07/24 23:20:59 - mmengine - INFO - Epoch(val) [94][180/310] eta: 0:01:37 time: 0.7528 data_time: 0.6393 memory: 3406 2022/07/24 23:21:11 - mmengine - INFO - Epoch(val) [94][200/310] eta: 0:01:06 time: 0.6021 data_time: 0.4884 memory: 3406 2022/07/24 23:21:26 - mmengine - INFO - Epoch(val) [94][220/310] eta: 0:01:05 time: 0.7296 data_time: 0.6098 memory: 3406 2022/07/24 23:21:37 - mmengine - INFO - Epoch(val) [94][240/310] eta: 0:00:40 time: 0.5789 data_time: 0.4652 memory: 3406 2022/07/24 23:21:53 - mmengine - INFO - Epoch(val) [94][260/310] eta: 0:00:38 time: 0.7699 data_time: 0.6535 memory: 3406 2022/07/24 23:22:03 - mmengine - INFO - Epoch(val) [94][280/310] eta: 0:00:16 time: 0.5428 data_time: 0.4291 memory: 3406 2022/07/24 23:22:19 - mmengine - INFO - Epoch(val) [94][300/310] eta: 0:00:07 time: 0.7553 data_time: 0.6349 memory: 3406 2022/07/24 23:22:24 - mmengine - INFO - Epoch(val) [94][310/310] acc/top1: 0.6901 acc/top5: 0.8784 acc/mean1: 0.6900 2022/07/24 23:22:41 - mmengine - INFO - Epoch(train) [95][20/3757] lr: 1.0000e-04 eta: 4:10:08 time: 0.8783 data_time: 0.5402 memory: 17350 grad_norm: 8.9392 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8026 loss: 0.8026 2022/07/24 23:22:54 - mmengine - INFO - Epoch(train) [95][40/3757] lr: 1.0000e-04 eta: 4:09:55 time: 0.6205 data_time: 0.2856 memory: 17350 grad_norm: 9.0882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9816 loss: 0.9816 2022/07/24 23:23:09 - mmengine - INFO - Epoch(train) [95][60/3757] lr: 1.0000e-04 eta: 4:09:42 time: 0.7606 data_time: 0.4184 memory: 17350 grad_norm: 8.7461 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9784 loss: 0.9784 2022/07/24 23:23:21 - mmengine - INFO - Epoch(train) [95][80/3757] lr: 1.0000e-04 eta: 4:09:28 time: 0.6209 data_time: 0.2845 memory: 17350 grad_norm: 9.3112 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0199 loss: 1.0199 2022/07/24 23:23:37 - mmengine - INFO - Epoch(train) [95][100/3757] lr: 1.0000e-04 eta: 4:09:15 time: 0.7689 data_time: 0.4301 memory: 17350 grad_norm: 8.8883 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9007 loss: 0.9007 2022/07/24 23:23:48 - mmengine - INFO - Epoch(train) [95][120/3757] lr: 1.0000e-04 eta: 4:09:02 time: 0.5512 data_time: 0.2154 memory: 17350 grad_norm: 9.0016 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2616 loss: 1.2616 2022/07/24 23:24:02 - mmengine - INFO - Epoch(train) [95][140/3757] lr: 1.0000e-04 eta: 4:08:49 time: 0.7055 data_time: 0.3687 memory: 17350 grad_norm: 9.3749 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8131 loss: 0.8131 2022/07/24 23:24:16 - mmengine - INFO - Epoch(train) [95][160/3757] lr: 1.0000e-04 eta: 4:08:35 time: 0.6796 data_time: 0.3374 memory: 17350 grad_norm: 9.4774 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1219 loss: 1.1219 2022/07/24 23:24:30 - mmengine - INFO - Epoch(train) [95][180/3757] lr: 1.0000e-04 eta: 4:08:22 time: 0.7003 data_time: 0.3592 memory: 17350 grad_norm: 8.9163 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9248 loss: 0.9248 2022/07/24 23:24:42 - mmengine - INFO - Epoch(train) [95][200/3757] lr: 1.0000e-04 eta: 4:08:09 time: 0.6444 data_time: 0.3010 memory: 17350 grad_norm: 9.3935 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9922 loss: 0.9922 2022/07/24 23:24:57 - mmengine - INFO - Epoch(train) [95][220/3757] lr: 1.0000e-04 eta: 4:07:55 time: 0.7364 data_time: 0.3922 memory: 17350 grad_norm: 9.0468 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.7934 loss: 0.7934 2022/07/24 23:25:08 - mmengine - INFO - Epoch(train) [95][240/3757] lr: 1.0000e-04 eta: 4:07:42 time: 0.5568 data_time: 0.2187 memory: 17350 grad_norm: 9.2434 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9941 loss: 0.9941 2022/07/24 23:25:22 - mmengine - INFO - Epoch(train) [95][260/3757] lr: 1.0000e-04 eta: 4:07:29 time: 0.7005 data_time: 0.3611 memory: 17350 grad_norm: 9.6624 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3534 loss: 1.3534 2022/07/24 23:25:35 - mmengine - INFO - Epoch(train) [95][280/3757] lr: 1.0000e-04 eta: 4:07:15 time: 0.6145 data_time: 0.2772 memory: 17350 grad_norm: 8.8326 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8835 loss: 0.8835 2022/07/24 23:25:50 - mmengine - INFO - Epoch(train) [95][300/3757] lr: 1.0000e-04 eta: 4:07:02 time: 0.7533 data_time: 0.4036 memory: 17350 grad_norm: 9.0285 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1374 loss: 1.1374 2022/07/24 23:26:01 - mmengine - INFO - Epoch(train) [95][320/3757] lr: 1.0000e-04 eta: 4:06:49 time: 0.5763 data_time: 0.2399 memory: 17350 grad_norm: 8.7087 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6768 loss: 0.6768 2022/07/24 23:26:17 - mmengine - INFO - Epoch(train) [95][340/3757] lr: 1.0000e-04 eta: 4:06:35 time: 0.7619 data_time: 0.4151 memory: 17350 grad_norm: 9.1759 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9397 loss: 0.9397 2022/07/24 23:26:28 - mmengine - INFO - Epoch(train) [95][360/3757] lr: 1.0000e-04 eta: 4:06:22 time: 0.5841 data_time: 0.2452 memory: 17350 grad_norm: 9.1796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2060 loss: 1.2060 2022/07/24 23:26:42 - mmengine - INFO - Epoch(train) [95][380/3757] lr: 1.0000e-04 eta: 4:06:09 time: 0.6995 data_time: 0.3550 memory: 17350 grad_norm: 8.8298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8714 loss: 0.8714 2022/07/24 23:26:54 - mmengine - INFO - Epoch(train) [95][400/3757] lr: 1.0000e-04 eta: 4:05:55 time: 0.5752 data_time: 0.2370 memory: 17350 grad_norm: 9.2242 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0346 loss: 1.0346 2022/07/24 23:27:08 - mmengine - INFO - Epoch(train) [95][420/3757] lr: 1.0000e-04 eta: 4:05:42 time: 0.6913 data_time: 0.3414 memory: 17350 grad_norm: 8.7706 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.7949 loss: 0.7949 2022/07/24 23:27:20 - mmengine - INFO - Epoch(train) [95][440/3757] lr: 1.0000e-04 eta: 4:05:28 time: 0.6190 data_time: 0.2609 memory: 17350 grad_norm: 8.9122 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9162 loss: 0.9162 2022/07/24 23:27:34 - mmengine - INFO - Epoch(train) [95][460/3757] lr: 1.0000e-04 eta: 4:05:15 time: 0.7136 data_time: 0.3352 memory: 17350 grad_norm: 8.8208 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1336 loss: 1.1336 2022/07/24 23:27:47 - mmengine - INFO - Epoch(train) [95][480/3757] lr: 1.0000e-04 eta: 4:05:02 time: 0.6183 data_time: 0.2155 memory: 17350 grad_norm: 8.7011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9460 loss: 0.9460 2022/07/24 23:28:01 - mmengine - INFO - Epoch(train) [95][500/3757] lr: 1.0000e-04 eta: 4:04:49 time: 0.7123 data_time: 0.2313 memory: 17350 grad_norm: 9.0199 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8738 loss: 0.8738 2022/07/24 23:28:13 - mmengine - INFO - Epoch(train) [95][520/3757] lr: 1.0000e-04 eta: 4:04:35 time: 0.6044 data_time: 0.2460 memory: 17350 grad_norm: 8.4702 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8378 loss: 0.8378 2022/07/24 23:28:28 - mmengine - INFO - Epoch(train) [95][540/3757] lr: 1.0000e-04 eta: 4:04:22 time: 0.7381 data_time: 0.2506 memory: 17350 grad_norm: 8.6604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9274 loss: 0.9274 2022/07/24 23:28:40 - mmengine - INFO - Epoch(train) [95][560/3757] lr: 1.0000e-04 eta: 4:04:09 time: 0.6162 data_time: 0.0433 memory: 17350 grad_norm: 9.3306 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9079 loss: 0.9079 2022/07/24 23:28:55 - mmengine - INFO - Epoch(train) [95][580/3757] lr: 1.0000e-04 eta: 4:03:55 time: 0.7174 data_time: 0.1255 memory: 17350 grad_norm: 8.7796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8125 loss: 0.8125 2022/07/24 23:29:07 - mmengine - INFO - Epoch(train) [95][600/3757] lr: 1.0000e-04 eta: 4:03:42 time: 0.6270 data_time: 0.1120 memory: 17350 grad_norm: 8.6514 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7882 loss: 0.7882 2022/07/24 23:29:22 - mmengine - INFO - Epoch(train) [95][620/3757] lr: 1.0000e-04 eta: 4:03:29 time: 0.7372 data_time: 0.0632 memory: 17350 grad_norm: 9.0615 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8021 loss: 0.8021 2022/07/24 23:29:34 - mmengine - INFO - Epoch(train) [95][640/3757] lr: 1.0000e-04 eta: 4:03:15 time: 0.5919 data_time: 0.0500 memory: 17350 grad_norm: 8.7467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0628 loss: 1.0628 2022/07/24 23:29:50 - mmengine - INFO - Epoch(train) [95][660/3757] lr: 1.0000e-04 eta: 4:03:02 time: 0.7886 data_time: 0.0332 memory: 17350 grad_norm: 8.9328 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7428 loss: 0.7428 2022/07/24 23:30:02 - mmengine - INFO - Epoch(train) [95][680/3757] lr: 1.0000e-04 eta: 4:02:49 time: 0.6054 data_time: 0.0225 memory: 17350 grad_norm: 8.6505 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8729 loss: 0.8729 2022/07/24 23:30:17 - mmengine - INFO - Epoch(train) [95][700/3757] lr: 1.0000e-04 eta: 4:02:35 time: 0.7397 data_time: 0.0252 memory: 17350 grad_norm: 9.2874 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9782 loss: 0.9782 2022/07/24 23:30:29 - mmengine - INFO - Epoch(train) [95][720/3757] lr: 1.0000e-04 eta: 4:02:22 time: 0.6012 data_time: 0.0328 memory: 17350 grad_norm: 9.1138 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9803 loss: 0.9803 2022/07/24 23:30:44 - mmengine - INFO - Epoch(train) [95][740/3757] lr: 1.0000e-04 eta: 4:02:09 time: 0.7439 data_time: 0.0214 memory: 17350 grad_norm: 8.6851 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9378 loss: 0.9378 2022/07/24 23:30:55 - mmengine - INFO - Epoch(train) [95][760/3757] lr: 1.0000e-04 eta: 4:01:55 time: 0.5924 data_time: 0.0215 memory: 17350 grad_norm: 8.9079 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0263 loss: 1.0263 2022/07/24 23:31:10 - mmengine - INFO - Epoch(train) [95][780/3757] lr: 1.0000e-04 eta: 4:01:42 time: 0.7155 data_time: 0.0221 memory: 17350 grad_norm: 8.8032 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8487 loss: 0.8487 2022/07/24 23:31:22 - mmengine - INFO - Epoch(train) [95][800/3757] lr: 1.0000e-04 eta: 4:01:29 time: 0.6007 data_time: 0.0204 memory: 17350 grad_norm: 9.2143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0902 loss: 1.0902 2022/07/24 23:31:36 - mmengine - INFO - Epoch(train) [95][820/3757] lr: 1.0000e-04 eta: 4:01:15 time: 0.7077 data_time: 0.0237 memory: 17350 grad_norm: 9.0460 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1906 loss: 1.1906 2022/07/24 23:31:48 - mmengine - INFO - Epoch(train) [95][840/3757] lr: 1.0000e-04 eta: 4:01:02 time: 0.6137 data_time: 0.0226 memory: 17350 grad_norm: 9.1849 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1465 loss: 1.1465 2022/07/24 23:31:49 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 23:32:02 - mmengine - INFO - Epoch(train) [95][860/3757] lr: 1.0000e-04 eta: 4:00:49 time: 0.7102 data_time: 0.0245 memory: 17350 grad_norm: 8.7783 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9475 loss: 0.9475 2022/07/24 23:32:15 - mmengine - INFO - Epoch(train) [95][880/3757] lr: 1.0000e-04 eta: 4:00:35 time: 0.6034 data_time: 0.0224 memory: 17350 grad_norm: 9.0929 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9191 loss: 0.9191 2022/07/24 23:32:29 - mmengine - INFO - Epoch(train) [95][900/3757] lr: 1.0000e-04 eta: 4:00:22 time: 0.7150 data_time: 0.0233 memory: 17350 grad_norm: 9.0831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0609 loss: 1.0609 2022/07/24 23:32:40 - mmengine - INFO - Epoch(train) [95][920/3757] lr: 1.0000e-04 eta: 4:00:09 time: 0.5720 data_time: 0.0216 memory: 17350 grad_norm: 8.5292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8118 loss: 0.8118 2022/07/24 23:32:55 - mmengine - INFO - Epoch(train) [95][940/3757] lr: 1.0000e-04 eta: 3:59:55 time: 0.7165 data_time: 0.0855 memory: 17350 grad_norm: 8.8255 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0172 loss: 1.0172 2022/07/24 23:33:07 - mmengine - INFO - Epoch(train) [95][960/3757] lr: 1.0000e-04 eta: 3:59:42 time: 0.5903 data_time: 0.1466 memory: 17350 grad_norm: 8.7050 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8978 loss: 0.8978 2022/07/24 23:33:20 - mmengine - INFO - Epoch(train) [95][980/3757] lr: 1.0000e-04 eta: 3:59:29 time: 0.6747 data_time: 0.2227 memory: 17350 grad_norm: 8.9971 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0055 loss: 1.0055 2022/07/24 23:33:33 - mmengine - INFO - Epoch(train) [95][1000/3757] lr: 1.0000e-04 eta: 3:59:15 time: 0.6668 data_time: 0.2019 memory: 17350 grad_norm: 8.9164 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1142 loss: 1.1142 2022/07/24 23:33:48 - mmengine - INFO - Epoch(train) [95][1020/3757] lr: 1.0000e-04 eta: 3:59:02 time: 0.7391 data_time: 0.2141 memory: 17350 grad_norm: 9.2310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0915 loss: 1.0915 2022/07/24 23:34:00 - mmengine - INFO - Epoch(train) [95][1040/3757] lr: 1.0000e-04 eta: 3:58:49 time: 0.5927 data_time: 0.1826 memory: 17350 grad_norm: 8.6716 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 0.9984 loss: 0.9984 2022/07/24 23:34:14 - mmengine - INFO - Epoch(train) [95][1060/3757] lr: 1.0000e-04 eta: 3:58:35 time: 0.7179 data_time: 0.1745 memory: 17350 grad_norm: 9.1536 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0832 loss: 1.0832 2022/07/24 23:34:26 - mmengine - INFO - Epoch(train) [95][1080/3757] lr: 1.0000e-04 eta: 3:58:22 time: 0.5819 data_time: 0.1579 memory: 17350 grad_norm: 8.9832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1106 loss: 1.1106 2022/07/24 23:34:41 - mmengine - INFO - Epoch(train) [95][1100/3757] lr: 1.0000e-04 eta: 3:58:09 time: 0.7332 data_time: 0.2080 memory: 17350 grad_norm: 8.9373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0575 loss: 1.0575 2022/07/24 23:34:53 - mmengine - INFO - Epoch(train) [95][1120/3757] lr: 1.0000e-04 eta: 3:57:55 time: 0.6121 data_time: 0.1333 memory: 17350 grad_norm: 8.6641 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6999 loss: 0.6999 2022/07/24 23:35:08 - mmengine - INFO - Epoch(train) [95][1140/3757] lr: 1.0000e-04 eta: 3:57:42 time: 0.7294 data_time: 0.1729 memory: 17350 grad_norm: 8.9916 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8770 loss: 0.8770 2022/07/24 23:35:20 - mmengine - INFO - Epoch(train) [95][1160/3757] lr: 1.0000e-04 eta: 3:57:29 time: 0.6419 data_time: 0.2013 memory: 17350 grad_norm: 9.4272 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0381 loss: 1.0381 2022/07/24 23:35:34 - mmengine - INFO - Epoch(train) [95][1180/3757] lr: 1.0000e-04 eta: 3:57:15 time: 0.6900 data_time: 0.2653 memory: 17350 grad_norm: 8.6696 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7946 loss: 0.7946 2022/07/24 23:35:47 - mmengine - INFO - Epoch(train) [95][1200/3757] lr: 1.0000e-04 eta: 3:57:02 time: 0.6561 data_time: 0.1903 memory: 17350 grad_norm: 9.0509 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1716 loss: 1.1716 2022/07/24 23:36:01 - mmengine - INFO - Epoch(train) [95][1220/3757] lr: 1.0000e-04 eta: 3:56:49 time: 0.6590 data_time: 0.2133 memory: 17350 grad_norm: 9.1023 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2300 loss: 1.2300 2022/07/24 23:36:14 - mmengine - INFO - Epoch(train) [95][1240/3757] lr: 1.0000e-04 eta: 3:56:35 time: 0.6494 data_time: 0.1564 memory: 17350 grad_norm: 9.4191 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1930 loss: 1.1930 2022/07/24 23:36:28 - mmengine - INFO - Epoch(train) [95][1260/3757] lr: 1.0000e-04 eta: 3:56:22 time: 0.7184 data_time: 0.1370 memory: 17350 grad_norm: 9.0519 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0208 loss: 1.0208 2022/07/24 23:36:40 - mmengine - INFO - Epoch(train) [95][1280/3757] lr: 1.0000e-04 eta: 3:56:09 time: 0.6068 data_time: 0.1324 memory: 17350 grad_norm: 8.9654 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0676 loss: 1.0676 2022/07/24 23:36:55 - mmengine - INFO - Epoch(train) [95][1300/3757] lr: 1.0000e-04 eta: 3:55:55 time: 0.7457 data_time: 0.1646 memory: 17350 grad_norm: 9.2379 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9227 loss: 0.9227 2022/07/24 23:37:08 - mmengine - INFO - Epoch(train) [95][1320/3757] lr: 1.0000e-04 eta: 3:55:42 time: 0.6292 data_time: 0.0568 memory: 17350 grad_norm: 8.9733 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8926 loss: 0.8926 2022/07/24 23:37:21 - mmengine - INFO - Epoch(train) [95][1340/3757] lr: 1.0000e-04 eta: 3:55:29 time: 0.6649 data_time: 0.0630 memory: 17350 grad_norm: 9.5087 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7410 loss: 0.7410 2022/07/24 23:37:34 - mmengine - INFO - Epoch(train) [95][1360/3757] lr: 1.0000e-04 eta: 3:55:15 time: 0.6318 data_time: 0.0419 memory: 17350 grad_norm: 9.0152 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9762 loss: 0.9762 2022/07/24 23:37:49 - mmengine - INFO - Epoch(train) [95][1380/3757] lr: 1.0000e-04 eta: 3:55:02 time: 0.7386 data_time: 0.0666 memory: 17350 grad_norm: 8.5515 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9039 loss: 0.9039 2022/07/24 23:38:00 - mmengine - INFO - Epoch(train) [95][1400/3757] lr: 1.0000e-04 eta: 3:54:49 time: 0.5892 data_time: 0.0440 memory: 17350 grad_norm: 9.0468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2106 loss: 1.2106 2022/07/24 23:38:15 - mmengine - INFO - Epoch(train) [95][1420/3757] lr: 1.0000e-04 eta: 3:54:35 time: 0.7181 data_time: 0.0446 memory: 17350 grad_norm: 8.6678 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1070 loss: 1.1070 2022/07/24 23:38:27 - mmengine - INFO - Epoch(train) [95][1440/3757] lr: 1.0000e-04 eta: 3:54:22 time: 0.5975 data_time: 0.0244 memory: 17350 grad_norm: 9.3073 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0491 loss: 1.0491 2022/07/24 23:38:41 - mmengine - INFO - Epoch(train) [95][1460/3757] lr: 1.0000e-04 eta: 3:54:09 time: 0.7397 data_time: 0.0349 memory: 17350 grad_norm: 9.2455 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0316 loss: 1.0316 2022/07/24 23:38:54 - mmengine - INFO - Epoch(train) [95][1480/3757] lr: 1.0000e-04 eta: 3:53:55 time: 0.6281 data_time: 0.0233 memory: 17350 grad_norm: 9.1107 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9971 loss: 0.9971 2022/07/24 23:39:08 - mmengine - INFO - Epoch(train) [95][1500/3757] lr: 1.0000e-04 eta: 3:53:42 time: 0.7113 data_time: 0.0228 memory: 17350 grad_norm: 9.2705 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1541 loss: 1.1541 2022/07/24 23:39:20 - mmengine - INFO - Epoch(train) [95][1520/3757] lr: 1.0000e-04 eta: 3:53:29 time: 0.5845 data_time: 0.0223 memory: 17350 grad_norm: 9.2313 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9093 loss: 0.9093 2022/07/24 23:39:34 - mmengine - INFO - Epoch(train) [95][1540/3757] lr: 1.0000e-04 eta: 3:53:15 time: 0.6864 data_time: 0.0213 memory: 17350 grad_norm: 9.4235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0373 loss: 1.0373 2022/07/24 23:39:45 - mmengine - INFO - Epoch(train) [95][1560/3757] lr: 1.0000e-04 eta: 3:53:02 time: 0.5797 data_time: 0.0237 memory: 17350 grad_norm: 8.8910 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8623 loss: 0.8623 2022/07/24 23:40:00 - mmengine - INFO - Epoch(train) [95][1580/3757] lr: 1.0000e-04 eta: 3:52:49 time: 0.7124 data_time: 0.0217 memory: 17350 grad_norm: 9.2420 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0923 loss: 1.0923 2022/07/24 23:40:12 - mmengine - INFO - Epoch(train) [95][1600/3757] lr: 1.0000e-04 eta: 3:52:35 time: 0.6322 data_time: 0.0759 memory: 17350 grad_norm: 8.7946 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1601 loss: 1.1601 2022/07/24 23:40:26 - mmengine - INFO - Epoch(train) [95][1620/3757] lr: 1.0000e-04 eta: 3:52:22 time: 0.7044 data_time: 0.0765 memory: 17350 grad_norm: 9.1240 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8529 loss: 0.8529 2022/07/24 23:40:39 - mmengine - INFO - Epoch(train) [95][1640/3757] lr: 1.0000e-04 eta: 3:52:09 time: 0.6137 data_time: 0.0319 memory: 17350 grad_norm: 9.0688 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1761 loss: 1.1761 2022/07/24 23:40:54 - mmengine - INFO - Epoch(train) [95][1660/3757] lr: 1.0000e-04 eta: 3:51:55 time: 0.7470 data_time: 0.0226 memory: 17350 grad_norm: 9.0143 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8768 loss: 0.8768 2022/07/24 23:41:06 - mmengine - INFO - Epoch(train) [95][1680/3757] lr: 1.0000e-04 eta: 3:51:42 time: 0.6184 data_time: 0.0926 memory: 17350 grad_norm: 9.1707 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1167 loss: 1.1167 2022/07/24 23:41:20 - mmengine - INFO - Epoch(train) [95][1700/3757] lr: 1.0000e-04 eta: 3:51:29 time: 0.6912 data_time: 0.0249 memory: 17350 grad_norm: 9.1214 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8181 loss: 0.8181 2022/07/24 23:41:32 - mmengine - INFO - Epoch(train) [95][1720/3757] lr: 1.0000e-04 eta: 3:51:15 time: 0.6217 data_time: 0.0703 memory: 17350 grad_norm: 8.6141 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7846 loss: 0.7846 2022/07/24 23:41:47 - mmengine - INFO - Epoch(train) [95][1740/3757] lr: 1.0000e-04 eta: 3:51:02 time: 0.7154 data_time: 0.0274 memory: 17350 grad_norm: 8.9785 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0761 loss: 1.0761 2022/07/24 23:41:59 - mmengine - INFO - Epoch(train) [95][1760/3757] lr: 1.0000e-04 eta: 3:50:49 time: 0.6195 data_time: 0.0250 memory: 17350 grad_norm: 9.0186 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1626 loss: 1.1626 2022/07/24 23:42:14 - mmengine - INFO - Epoch(train) [95][1780/3757] lr: 1.0000e-04 eta: 3:50:35 time: 0.7555 data_time: 0.0221 memory: 17350 grad_norm: 9.1824 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0584 loss: 1.0584 2022/07/24 23:42:27 - mmengine - INFO - Epoch(train) [95][1800/3757] lr: 1.0000e-04 eta: 3:50:22 time: 0.6183 data_time: 0.0228 memory: 17350 grad_norm: 9.1041 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0236 loss: 1.0236 2022/07/24 23:42:41 - mmengine - INFO - Epoch(train) [95][1820/3757] lr: 1.0000e-04 eta: 3:50:09 time: 0.7002 data_time: 0.0218 memory: 17350 grad_norm: 9.2202 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0746 loss: 1.0746 2022/07/24 23:42:53 - mmengine - INFO - Epoch(train) [95][1840/3757] lr: 1.0000e-04 eta: 3:49:55 time: 0.5997 data_time: 0.0223 memory: 17350 grad_norm: 9.2833 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9477 loss: 0.9477 2022/07/24 23:42:56 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 23:43:08 - mmengine - INFO - Epoch(train) [95][1860/3757] lr: 1.0000e-04 eta: 3:49:42 time: 0.7611 data_time: 0.0232 memory: 17350 grad_norm: 9.2253 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9923 loss: 0.9923 2022/07/24 23:43:20 - mmengine - INFO - Epoch(train) [95][1880/3757] lr: 1.0000e-04 eta: 3:49:29 time: 0.5827 data_time: 0.0237 memory: 17350 grad_norm: 9.3590 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1118 loss: 1.1118 2022/07/24 23:43:35 - mmengine - INFO - Epoch(train) [95][1900/3757] lr: 1.0000e-04 eta: 3:49:16 time: 0.7593 data_time: 0.0207 memory: 17350 grad_norm: 8.8685 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8933 loss: 0.8933 2022/07/24 23:43:47 - mmengine - INFO - Epoch(train) [95][1920/3757] lr: 1.0000e-04 eta: 3:49:02 time: 0.6142 data_time: 0.0258 memory: 17350 grad_norm: 9.0829 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8573 loss: 0.8573 2022/07/24 23:44:01 - mmengine - INFO - Epoch(train) [95][1940/3757] lr: 1.0000e-04 eta: 3:48:49 time: 0.7171 data_time: 0.0236 memory: 17350 grad_norm: 9.0467 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8853 loss: 0.8853 2022/07/24 23:44:13 - mmengine - INFO - Epoch(train) [95][1960/3757] lr: 1.0000e-04 eta: 3:48:35 time: 0.5899 data_time: 0.0250 memory: 17350 grad_norm: 9.3074 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0046 loss: 1.0046 2022/07/24 23:44:28 - mmengine - INFO - Epoch(train) [95][1980/3757] lr: 1.0000e-04 eta: 3:48:22 time: 0.7418 data_time: 0.0246 memory: 17350 grad_norm: 9.2093 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1711 loss: 1.1711 2022/07/24 23:44:40 - mmengine - INFO - Epoch(train) [95][2000/3757] lr: 1.0000e-04 eta: 3:48:09 time: 0.5679 data_time: 0.0230 memory: 17350 grad_norm: 9.0779 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0001 loss: 1.0001 2022/07/24 23:44:54 - mmengine - INFO - Epoch(train) [95][2020/3757] lr: 1.0000e-04 eta: 3:47:56 time: 0.7164 data_time: 0.0230 memory: 17350 grad_norm: 9.2680 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9253 loss: 0.9253 2022/07/24 23:45:07 - mmengine - INFO - Epoch(train) [95][2040/3757] lr: 1.0000e-04 eta: 3:47:42 time: 0.6338 data_time: 0.0227 memory: 17350 grad_norm: 8.7950 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0447 loss: 1.0447 2022/07/24 23:45:21 - mmengine - INFO - Epoch(train) [95][2060/3757] lr: 1.0000e-04 eta: 3:47:29 time: 0.7243 data_time: 0.0251 memory: 17350 grad_norm: 9.0842 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0310 loss: 1.0310 2022/07/24 23:45:33 - mmengine - INFO - Epoch(train) [95][2080/3757] lr: 1.0000e-04 eta: 3:47:15 time: 0.5853 data_time: 0.0268 memory: 17350 grad_norm: 8.7318 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9387 loss: 0.9387 2022/07/24 23:45:48 - mmengine - INFO - Epoch(train) [95][2100/3757] lr: 1.0000e-04 eta: 3:47:02 time: 0.7558 data_time: 0.0245 memory: 17350 grad_norm: 8.9756 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9005 loss: 0.9005 2022/07/24 23:46:00 - mmengine - INFO - Epoch(train) [95][2120/3757] lr: 1.0000e-04 eta: 3:46:49 time: 0.5916 data_time: 0.0241 memory: 17350 grad_norm: 8.6922 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6994 loss: 0.6994 2022/07/24 23:46:14 - mmengine - INFO - Epoch(train) [95][2140/3757] lr: 1.0000e-04 eta: 3:46:36 time: 0.7210 data_time: 0.0222 memory: 17350 grad_norm: 9.1792 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3125 loss: 1.3125 2022/07/24 23:46:27 - mmengine - INFO - Epoch(train) [95][2160/3757] lr: 1.0000e-04 eta: 3:46:22 time: 0.6337 data_time: 0.0227 memory: 17350 grad_norm: 8.5865 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8129 loss: 0.8129 2022/07/24 23:46:41 - mmengine - INFO - Epoch(train) [95][2180/3757] lr: 1.0000e-04 eta: 3:46:09 time: 0.7069 data_time: 0.0235 memory: 17350 grad_norm: 8.7793 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0096 loss: 1.0096 2022/07/24 23:46:53 - mmengine - INFO - Epoch(train) [95][2200/3757] lr: 1.0000e-04 eta: 3:45:56 time: 0.6073 data_time: 0.0244 memory: 17350 grad_norm: 8.7351 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0506 loss: 1.0506 2022/07/24 23:47:07 - mmengine - INFO - Epoch(train) [95][2220/3757] lr: 1.0000e-04 eta: 3:45:42 time: 0.6947 data_time: 0.0227 memory: 17350 grad_norm: 9.1545 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9841 loss: 0.9841 2022/07/24 23:47:20 - mmengine - INFO - Epoch(train) [95][2240/3757] lr: 1.0000e-04 eta: 3:45:29 time: 0.6171 data_time: 0.0247 memory: 17350 grad_norm: 9.2922 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1415 loss: 1.1415 2022/07/24 23:47:34 - mmengine - INFO - Epoch(train) [95][2260/3757] lr: 1.0000e-04 eta: 3:45:16 time: 0.7215 data_time: 0.0220 memory: 17350 grad_norm: 9.1009 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9524 loss: 0.9524 2022/07/24 23:47:46 - mmengine - INFO - Epoch(train) [95][2280/3757] lr: 1.0000e-04 eta: 3:45:02 time: 0.5943 data_time: 0.0233 memory: 17350 grad_norm: 8.6232 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9310 loss: 0.9310 2022/07/24 23:48:01 - mmengine - INFO - Epoch(train) [95][2300/3757] lr: 1.0000e-04 eta: 3:44:49 time: 0.7389 data_time: 0.0223 memory: 17350 grad_norm: 9.0209 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9393 loss: 0.9393 2022/07/24 23:48:12 - mmengine - INFO - Epoch(train) [95][2320/3757] lr: 1.0000e-04 eta: 3:44:35 time: 0.5628 data_time: 0.0241 memory: 17350 grad_norm: 8.8849 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7558 loss: 0.7558 2022/07/24 23:48:26 - mmengine - INFO - Epoch(train) [95][2340/3757] lr: 1.0000e-04 eta: 3:44:22 time: 0.7071 data_time: 0.0226 memory: 17350 grad_norm: 8.9292 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9391 loss: 0.9391 2022/07/24 23:48:38 - mmengine - INFO - Epoch(train) [95][2360/3757] lr: 1.0000e-04 eta: 3:44:09 time: 0.6017 data_time: 0.0245 memory: 17350 grad_norm: 9.0897 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 0.9342 loss: 0.9342 2022/07/24 23:48:53 - mmengine - INFO - Epoch(train) [95][2380/3757] lr: 1.0000e-04 eta: 3:43:56 time: 0.7432 data_time: 0.0226 memory: 17350 grad_norm: 9.1560 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9339 loss: 0.9339 2022/07/24 23:49:06 - mmengine - INFO - Epoch(train) [95][2400/3757] lr: 1.0000e-04 eta: 3:43:42 time: 0.6371 data_time: 0.0226 memory: 17350 grad_norm: 8.8698 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6957 loss: 0.6957 2022/07/24 23:49:20 - mmengine - INFO - Epoch(train) [95][2420/3757] lr: 1.0000e-04 eta: 3:43:29 time: 0.7119 data_time: 0.0247 memory: 17350 grad_norm: 8.9274 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.7887 loss: 0.7887 2022/07/24 23:49:32 - mmengine - INFO - Epoch(train) [95][2440/3757] lr: 1.0000e-04 eta: 3:43:15 time: 0.5716 data_time: 0.0230 memory: 17350 grad_norm: 9.0372 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0050 loss: 1.0050 2022/07/24 23:49:46 - mmengine - INFO - Epoch(train) [95][2460/3757] lr: 1.0000e-04 eta: 3:43:02 time: 0.7110 data_time: 0.0221 memory: 17350 grad_norm: 9.0036 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9373 loss: 0.9373 2022/07/24 23:49:58 - mmengine - INFO - Epoch(train) [95][2480/3757] lr: 1.0000e-04 eta: 3:42:49 time: 0.5996 data_time: 0.0247 memory: 17350 grad_norm: 8.9885 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8676 loss: 0.8676 2022/07/24 23:50:13 - mmengine - INFO - Epoch(train) [95][2500/3757] lr: 1.0000e-04 eta: 3:42:36 time: 0.7352 data_time: 0.0224 memory: 17350 grad_norm: 8.7297 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0073 loss: 1.0073 2022/07/24 23:50:25 - mmengine - INFO - Epoch(train) [95][2520/3757] lr: 1.0000e-04 eta: 3:42:22 time: 0.6116 data_time: 0.0225 memory: 17350 grad_norm: 9.0043 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9890 loss: 0.9890 2022/07/24 23:50:39 - mmengine - INFO - Epoch(train) [95][2540/3757] lr: 1.0000e-04 eta: 3:42:09 time: 0.7289 data_time: 0.0256 memory: 17350 grad_norm: 8.6767 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9878 loss: 0.9878 2022/07/24 23:50:51 - mmengine - INFO - Epoch(train) [95][2560/3757] lr: 1.0000e-04 eta: 3:41:55 time: 0.5833 data_time: 0.0214 memory: 17350 grad_norm: 9.0773 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8154 loss: 0.8154 2022/07/24 23:51:05 - mmengine - INFO - Epoch(train) [95][2580/3757] lr: 1.0000e-04 eta: 3:41:42 time: 0.7129 data_time: 0.0221 memory: 17350 grad_norm: 9.4539 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9176 loss: 0.9176 2022/07/24 23:51:18 - mmengine - INFO - Epoch(train) [95][2600/3757] lr: 1.0000e-04 eta: 3:41:29 time: 0.6239 data_time: 0.0244 memory: 17350 grad_norm: 9.0403 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9768 loss: 0.9768 2022/07/24 23:51:32 - mmengine - INFO - Epoch(train) [95][2620/3757] lr: 1.0000e-04 eta: 3:41:16 time: 0.6972 data_time: 0.0217 memory: 17350 grad_norm: 8.7931 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7732 loss: 0.7732 2022/07/24 23:51:44 - mmengine - INFO - Epoch(train) [95][2640/3757] lr: 1.0000e-04 eta: 3:41:02 time: 0.6256 data_time: 0.0233 memory: 17350 grad_norm: 9.3285 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0005 loss: 1.0005 2022/07/24 23:51:59 - mmengine - INFO - Epoch(train) [95][2660/3757] lr: 1.0000e-04 eta: 3:40:49 time: 0.7477 data_time: 0.0323 memory: 17350 grad_norm: 9.0781 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9593 loss: 0.9593 2022/07/24 23:52:11 - mmengine - INFO - Epoch(train) [95][2680/3757] lr: 1.0000e-04 eta: 3:40:35 time: 0.5650 data_time: 0.0288 memory: 17350 grad_norm: 8.7318 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9016 loss: 0.9016 2022/07/24 23:52:26 - mmengine - INFO - Epoch(train) [95][2700/3757] lr: 1.0000e-04 eta: 3:40:22 time: 0.7752 data_time: 0.0963 memory: 17350 grad_norm: 9.3791 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7574 loss: 0.7574 2022/07/24 23:52:39 - mmengine - INFO - Epoch(train) [95][2720/3757] lr: 1.0000e-04 eta: 3:40:09 time: 0.6402 data_time: 0.0221 memory: 17350 grad_norm: 8.7923 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8918 loss: 0.8918 2022/07/24 23:52:53 - mmengine - INFO - Epoch(train) [95][2740/3757] lr: 1.0000e-04 eta: 3:39:56 time: 0.6916 data_time: 0.0228 memory: 17350 grad_norm: 9.2504 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8793 loss: 0.8793 2022/07/24 23:53:05 - mmengine - INFO - Epoch(train) [95][2760/3757] lr: 1.0000e-04 eta: 3:39:42 time: 0.5871 data_time: 0.0418 memory: 17350 grad_norm: 8.7847 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7866 loss: 0.7866 2022/07/24 23:53:19 - mmengine - INFO - Epoch(train) [95][2780/3757] lr: 1.0000e-04 eta: 3:39:29 time: 0.7066 data_time: 0.0504 memory: 17350 grad_norm: 8.9721 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0119 loss: 1.0119 2022/07/24 23:53:31 - mmengine - INFO - Epoch(train) [95][2800/3757] lr: 1.0000e-04 eta: 3:39:16 time: 0.6093 data_time: 0.1010 memory: 17350 grad_norm: 9.2264 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0500 loss: 1.0500 2022/07/24 23:53:46 - mmengine - INFO - Epoch(train) [95][2820/3757] lr: 1.0000e-04 eta: 3:39:02 time: 0.7437 data_time: 0.1640 memory: 17350 grad_norm: 8.7780 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0721 loss: 1.0721 2022/07/24 23:53:58 - mmengine - INFO - Epoch(train) [95][2840/3757] lr: 1.0000e-04 eta: 3:38:49 time: 0.5881 data_time: 0.1697 memory: 17350 grad_norm: 9.2287 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0546 loss: 1.0546 2022/07/24 23:53:59 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/24 23:54:13 - mmengine - INFO - Epoch(train) [95][2860/3757] lr: 1.0000e-04 eta: 3:38:36 time: 0.7725 data_time: 0.1664 memory: 17350 grad_norm: 9.0359 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8529 loss: 0.8529 2022/07/24 23:54:25 - mmengine - INFO - Epoch(train) [95][2880/3757] lr: 1.0000e-04 eta: 3:38:22 time: 0.6010 data_time: 0.0461 memory: 17350 grad_norm: 9.4819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8579 loss: 0.8579 2022/07/24 23:54:39 - mmengine - INFO - Epoch(train) [95][2900/3757] lr: 1.0000e-04 eta: 3:38:09 time: 0.6943 data_time: 0.0232 memory: 17350 grad_norm: 8.9976 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9235 loss: 0.9235 2022/07/24 23:54:51 - mmengine - INFO - Epoch(train) [95][2920/3757] lr: 1.0000e-04 eta: 3:37:56 time: 0.5886 data_time: 0.0290 memory: 17350 grad_norm: 8.7700 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9138 loss: 0.9138 2022/07/24 23:55:06 - mmengine - INFO - Epoch(train) [95][2940/3757] lr: 1.0000e-04 eta: 3:37:42 time: 0.7406 data_time: 0.1073 memory: 17350 grad_norm: 9.3793 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9756 loss: 0.9756 2022/07/24 23:55:17 - mmengine - INFO - Epoch(train) [95][2960/3757] lr: 1.0000e-04 eta: 3:37:29 time: 0.5864 data_time: 0.1393 memory: 17350 grad_norm: 9.1248 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8082 loss: 0.8082 2022/07/24 23:55:32 - mmengine - INFO - Epoch(train) [95][2980/3757] lr: 1.0000e-04 eta: 3:37:16 time: 0.7417 data_time: 0.2248 memory: 17350 grad_norm: 9.3646 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0953 loss: 1.0953 2022/07/24 23:55:44 - mmengine - INFO - Epoch(train) [95][3000/3757] lr: 1.0000e-04 eta: 3:37:02 time: 0.6053 data_time: 0.0424 memory: 17350 grad_norm: 9.0424 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9585 loss: 0.9585 2022/07/24 23:55:59 - mmengine - INFO - Epoch(train) [95][3020/3757] lr: 1.0000e-04 eta: 3:36:49 time: 0.7204 data_time: 0.0277 memory: 17350 grad_norm: 9.3712 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9630 loss: 0.9630 2022/07/24 23:56:11 - mmengine - INFO - Epoch(train) [95][3040/3757] lr: 1.0000e-04 eta: 3:36:36 time: 0.5870 data_time: 0.0497 memory: 17350 grad_norm: 9.1822 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9425 loss: 0.9425 2022/07/24 23:56:25 - mmengine - INFO - Epoch(train) [95][3060/3757] lr: 1.0000e-04 eta: 3:36:22 time: 0.7100 data_time: 0.2116 memory: 17350 grad_norm: 9.0597 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3053 loss: 1.3053 2022/07/24 23:56:36 - mmengine - INFO - Epoch(train) [95][3080/3757] lr: 1.0000e-04 eta: 3:36:09 time: 0.5757 data_time: 0.1922 memory: 17350 grad_norm: 9.0954 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7261 loss: 0.7261 2022/07/24 23:56:52 - mmengine - INFO - Epoch(train) [95][3100/3757] lr: 1.0000e-04 eta: 3:35:56 time: 0.7583 data_time: 0.3309 memory: 17350 grad_norm: 8.5760 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8911 loss: 0.8911 2022/07/24 23:57:03 - mmengine - INFO - Epoch(train) [95][3120/3757] lr: 1.0000e-04 eta: 3:35:42 time: 0.5843 data_time: 0.2080 memory: 17350 grad_norm: 8.8529 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8276 loss: 0.8276 2022/07/24 23:57:18 - mmengine - INFO - Epoch(train) [95][3140/3757] lr: 1.0000e-04 eta: 3:35:29 time: 0.7300 data_time: 0.2403 memory: 17350 grad_norm: 9.1373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8123 loss: 0.8123 2022/07/24 23:57:30 - mmengine - INFO - Epoch(train) [95][3160/3757] lr: 1.0000e-04 eta: 3:35:16 time: 0.6284 data_time: 0.1311 memory: 17350 grad_norm: 9.1213 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8196 loss: 0.8196 2022/07/24 23:57:45 - mmengine - INFO - Epoch(train) [95][3180/3757] lr: 1.0000e-04 eta: 3:35:02 time: 0.7078 data_time: 0.1117 memory: 17350 grad_norm: 9.1341 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8855 loss: 0.8855 2022/07/24 23:57:56 - mmengine - INFO - Epoch(train) [95][3200/3757] lr: 1.0000e-04 eta: 3:34:49 time: 0.5844 data_time: 0.1211 memory: 17350 grad_norm: 8.9062 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9155 loss: 0.9155 2022/07/24 23:58:10 - mmengine - INFO - Epoch(train) [95][3220/3757] lr: 1.0000e-04 eta: 3:34:36 time: 0.7012 data_time: 0.2469 memory: 17350 grad_norm: 9.2903 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9358 loss: 0.9358 2022/07/24 23:58:23 - mmengine - INFO - Epoch(train) [95][3240/3757] lr: 1.0000e-04 eta: 3:34:22 time: 0.6070 data_time: 0.1674 memory: 17350 grad_norm: 9.1978 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9250 loss: 0.9250 2022/07/24 23:58:37 - mmengine - INFO - Epoch(train) [95][3260/3757] lr: 1.0000e-04 eta: 3:34:09 time: 0.7064 data_time: 0.3179 memory: 17350 grad_norm: 8.8899 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8662 loss: 0.8662 2022/07/24 23:58:50 - mmengine - INFO - Epoch(train) [95][3280/3757] lr: 1.0000e-04 eta: 3:33:56 time: 0.6441 data_time: 0.2188 memory: 17350 grad_norm: 9.2521 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0800 loss: 1.0800 2022/07/24 23:59:05 - mmengine - INFO - Epoch(train) [95][3300/3757] lr: 1.0000e-04 eta: 3:33:42 time: 0.7601 data_time: 0.1788 memory: 17350 grad_norm: 9.0925 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0225 loss: 1.0225 2022/07/24 23:59:16 - mmengine - INFO - Epoch(train) [95][3320/3757] lr: 1.0000e-04 eta: 3:33:29 time: 0.5764 data_time: 0.0879 memory: 17350 grad_norm: 9.0538 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0200 loss: 1.0200 2022/07/24 23:59:30 - mmengine - INFO - Epoch(train) [95][3340/3757] lr: 1.0000e-04 eta: 3:33:16 time: 0.7048 data_time: 0.1496 memory: 17350 grad_norm: 9.1985 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1861 loss: 1.1861 2022/07/24 23:59:43 - mmengine - INFO - Epoch(train) [95][3360/3757] lr: 1.0000e-04 eta: 3:33:02 time: 0.6278 data_time: 0.0636 memory: 17350 grad_norm: 9.1809 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7934 loss: 0.7934 2022/07/24 23:59:58 - mmengine - INFO - Epoch(train) [95][3380/3757] lr: 1.0000e-04 eta: 3:32:49 time: 0.7541 data_time: 0.0454 memory: 17350 grad_norm: 8.9739 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9610 loss: 0.9610 2022/07/25 00:00:11 - mmengine - INFO - Epoch(train) [95][3400/3757] lr: 1.0000e-04 eta: 3:32:36 time: 0.6345 data_time: 0.0253 memory: 17350 grad_norm: 8.7446 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9402 loss: 0.9402 2022/07/25 00:00:25 - mmengine - INFO - Epoch(train) [95][3420/3757] lr: 1.0000e-04 eta: 3:32:22 time: 0.7090 data_time: 0.0260 memory: 17350 grad_norm: 8.9484 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9659 loss: 0.9659 2022/07/25 00:00:37 - mmengine - INFO - Epoch(train) [95][3440/3757] lr: 1.0000e-04 eta: 3:32:09 time: 0.5889 data_time: 0.0232 memory: 17350 grad_norm: 9.2538 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0648 loss: 1.0648 2022/07/25 00:00:51 - mmengine - INFO - Epoch(train) [95][3460/3757] lr: 1.0000e-04 eta: 3:31:56 time: 0.6942 data_time: 0.0319 memory: 17350 grad_norm: 9.1983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9763 loss: 0.9763 2022/07/25 00:01:03 - mmengine - INFO - Epoch(train) [95][3480/3757] lr: 1.0000e-04 eta: 3:31:42 time: 0.6288 data_time: 0.0516 memory: 17350 grad_norm: 8.8826 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8521 loss: 0.8521 2022/07/25 00:01:18 - mmengine - INFO - Epoch(train) [95][3500/3757] lr: 1.0000e-04 eta: 3:31:29 time: 0.7455 data_time: 0.0346 memory: 17350 grad_norm: 9.1808 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9729 loss: 0.9729 2022/07/25 00:01:30 - mmengine - INFO - Epoch(train) [95][3520/3757] lr: 1.0000e-04 eta: 3:31:16 time: 0.5924 data_time: 0.0219 memory: 17350 grad_norm: 9.4059 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9470 loss: 0.9470 2022/07/25 00:01:44 - mmengine - INFO - Epoch(train) [95][3540/3757] lr: 1.0000e-04 eta: 3:31:02 time: 0.7083 data_time: 0.0219 memory: 17350 grad_norm: 8.9974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7797 loss: 0.7797 2022/07/25 00:01:56 - mmengine - INFO - Epoch(train) [95][3560/3757] lr: 1.0000e-04 eta: 3:30:49 time: 0.5928 data_time: 0.0226 memory: 17350 grad_norm: 9.1065 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8688 loss: 0.8688 2022/07/25 00:02:10 - mmengine - INFO - Epoch(train) [95][3580/3757] lr: 1.0000e-04 eta: 3:30:36 time: 0.7060 data_time: 0.0416 memory: 17350 grad_norm: 8.9035 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8901 loss: 0.8901 2022/07/25 00:02:23 - mmengine - INFO - Epoch(train) [95][3600/3757] lr: 1.0000e-04 eta: 3:30:22 time: 0.6462 data_time: 0.0224 memory: 17350 grad_norm: 9.1658 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7997 loss: 0.7997 2022/07/25 00:02:37 - mmengine - INFO - Epoch(train) [95][3620/3757] lr: 1.0000e-04 eta: 3:30:09 time: 0.7053 data_time: 0.0220 memory: 17350 grad_norm: 9.2462 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8488 loss: 0.8488 2022/07/25 00:02:49 - mmengine - INFO - Epoch(train) [95][3640/3757] lr: 1.0000e-04 eta: 3:29:56 time: 0.5967 data_time: 0.0225 memory: 17350 grad_norm: 8.9534 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9527 loss: 0.9527 2022/07/25 00:03:04 - mmengine - INFO - Epoch(train) [95][3660/3757] lr: 1.0000e-04 eta: 3:29:42 time: 0.7052 data_time: 0.0242 memory: 17350 grad_norm: 9.2298 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2139 loss: 1.2139 2022/07/25 00:03:16 - mmengine - INFO - Epoch(train) [95][3680/3757] lr: 1.0000e-04 eta: 3:29:29 time: 0.6192 data_time: 0.0348 memory: 17350 grad_norm: 9.3797 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9072 loss: 0.9072 2022/07/25 00:03:30 - mmengine - INFO - Epoch(train) [95][3700/3757] lr: 1.0000e-04 eta: 3:29:16 time: 0.6908 data_time: 0.0228 memory: 17350 grad_norm: 9.3149 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8993 loss: 0.8993 2022/07/25 00:03:42 - mmengine - INFO - Epoch(train) [95][3720/3757] lr: 1.0000e-04 eta: 3:29:02 time: 0.6337 data_time: 0.0226 memory: 17350 grad_norm: 8.8499 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7953 loss: 0.7953 2022/07/25 00:03:56 - mmengine - INFO - Epoch(train) [95][3740/3757] lr: 1.0000e-04 eta: 3:28:49 time: 0.6886 data_time: 0.0227 memory: 17350 grad_norm: 8.9240 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0123 loss: 1.0123 2022/07/25 00:04:04 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 00:04:04 - mmengine - INFO - Epoch(train) [95][3757/3757] lr: 1.0000e-04 eta: 3:28:49 time: 0.5035 data_time: 0.0227 memory: 17350 grad_norm: 8.9878 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7345 loss: 0.7345 2022/07/25 00:04:04 - mmengine - INFO - Saving checkpoint at 95 epochs 2022/07/25 00:04:23 - mmengine - INFO - Epoch(val) [95][20/310] eta: 0:03:55 time: 0.8131 data_time: 0.6976 memory: 3406 2022/07/25 00:04:33 - mmengine - INFO - Epoch(val) [95][40/310] eta: 0:02:23 time: 0.5319 data_time: 0.4152 memory: 3406 2022/07/25 00:04:49 - mmengine - INFO - Epoch(val) [95][60/310] eta: 0:03:11 time: 0.7675 data_time: 0.6531 memory: 3406 2022/07/25 00:05:01 - mmengine - INFO - Epoch(val) [95][80/310] eta: 0:02:15 time: 0.5892 data_time: 0.4774 memory: 3406 2022/07/25 00:05:15 - mmengine - INFO - Epoch(val) [95][100/310] eta: 0:02:35 time: 0.7392 data_time: 0.6251 memory: 3406 2022/07/25 00:05:28 - mmengine - INFO - Epoch(val) [95][120/310] eta: 0:01:57 time: 0.6170 data_time: 0.5055 memory: 3406 2022/07/25 00:05:42 - mmengine - INFO - Epoch(val) [95][140/310] eta: 0:01:58 time: 0.6983 data_time: 0.5851 memory: 3406 2022/07/25 00:05:54 - mmengine - INFO - Epoch(val) [95][160/310] eta: 0:01:33 time: 0.6205 data_time: 0.5070 memory: 3406 2022/07/25 00:06:08 - mmengine - INFO - Epoch(val) [95][180/310] eta: 0:01:32 time: 0.7137 data_time: 0.6015 memory: 3406 2022/07/25 00:06:19 - mmengine - INFO - Epoch(val) [95][200/310] eta: 0:01:00 time: 0.5491 data_time: 0.4376 memory: 3406 2022/07/25 00:06:35 - mmengine - INFO - Epoch(val) [95][220/310] eta: 0:01:08 time: 0.7647 data_time: 0.6514 memory: 3406 2022/07/25 00:06:46 - mmengine - INFO - Epoch(val) [95][240/310] eta: 0:00:38 time: 0.5474 data_time: 0.4359 memory: 3406 2022/07/25 00:07:01 - mmengine - INFO - Epoch(val) [95][260/310] eta: 0:00:37 time: 0.7572 data_time: 0.6418 memory: 3406 2022/07/25 00:07:12 - mmengine - INFO - Epoch(val) [95][280/310] eta: 0:00:16 time: 0.5628 data_time: 0.4494 memory: 3406 2022/07/25 00:07:26 - mmengine - INFO - Epoch(val) [95][300/310] eta: 0:00:07 time: 0.7066 data_time: 0.5916 memory: 3406 2022/07/25 00:07:30 - mmengine - INFO - Epoch(val) [95][310/310] acc/top1: 0.6915 acc/top5: 0.8792 acc/mean1: 0.6914 2022/07/25 00:07:49 - mmengine - INFO - Epoch(train) [96][20/3757] lr: 1.0000e-04 eta: 3:28:24 time: 0.9326 data_time: 0.4625 memory: 17350 grad_norm: 9.2878 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9762 loss: 0.9762 2022/07/25 00:08:01 - mmengine - INFO - Epoch(train) [96][40/3757] lr: 1.0000e-04 eta: 3:28:11 time: 0.5697 data_time: 0.1156 memory: 17350 grad_norm: 8.7370 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6744 loss: 0.6744 2022/07/25 00:08:15 - mmengine - INFO - Epoch(train) [96][60/3757] lr: 1.0000e-04 eta: 3:27:57 time: 0.7298 data_time: 0.3357 memory: 17350 grad_norm: 9.2106 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9747 loss: 0.9747 2022/07/25 00:08:28 - mmengine - INFO - Epoch(train) [96][80/3757] lr: 1.0000e-04 eta: 3:27:44 time: 0.6204 data_time: 0.2106 memory: 17350 grad_norm: 9.3721 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8655 loss: 0.8655 2022/07/25 00:08:33 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 00:08:42 - mmengine - INFO - Epoch(train) [96][100/3757] lr: 1.0000e-04 eta: 3:27:31 time: 0.7171 data_time: 0.2469 memory: 17350 grad_norm: 8.8539 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0324 loss: 1.0324 2022/07/25 00:08:55 - mmengine - INFO - Epoch(train) [96][120/3757] lr: 1.0000e-04 eta: 3:27:17 time: 0.6247 data_time: 0.2078 memory: 17350 grad_norm: 8.9503 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9907 loss: 0.9907 2022/07/25 00:09:10 - mmengine - INFO - Epoch(train) [96][140/3757] lr: 1.0000e-04 eta: 3:27:04 time: 0.7446 data_time: 0.3000 memory: 17350 grad_norm: 9.3374 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1794 loss: 1.1794 2022/07/25 00:09:21 - mmengine - INFO - Epoch(train) [96][160/3757] lr: 1.0000e-04 eta: 3:26:51 time: 0.5853 data_time: 0.1413 memory: 17350 grad_norm: 8.6924 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0941 loss: 1.0941 2022/07/25 00:09:36 - mmengine - INFO - Epoch(train) [96][180/3757] lr: 1.0000e-04 eta: 3:26:37 time: 0.7486 data_time: 0.1416 memory: 17350 grad_norm: 9.0714 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9306 loss: 0.9306 2022/07/25 00:09:48 - mmengine - INFO - Epoch(train) [96][200/3757] lr: 1.0000e-04 eta: 3:26:24 time: 0.5871 data_time: 0.0733 memory: 17350 grad_norm: 8.9293 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9124 loss: 0.9124 2022/07/25 00:10:03 - mmengine - INFO - Epoch(train) [96][220/3757] lr: 1.0000e-04 eta: 3:26:11 time: 0.7263 data_time: 0.0827 memory: 17350 grad_norm: 8.8984 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8617 loss: 0.8617 2022/07/25 00:10:15 - mmengine - INFO - Epoch(train) [96][240/3757] lr: 1.0000e-04 eta: 3:25:57 time: 0.5980 data_time: 0.0726 memory: 17350 grad_norm: 9.2364 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7884 loss: 0.7884 2022/07/25 00:10:29 - mmengine - INFO - Epoch(train) [96][260/3757] lr: 1.0000e-04 eta: 3:25:44 time: 0.7197 data_time: 0.1201 memory: 17350 grad_norm: 8.9824 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9929 loss: 0.9929 2022/07/25 00:10:41 - mmengine - INFO - Epoch(train) [96][280/3757] lr: 1.0000e-04 eta: 3:25:31 time: 0.6125 data_time: 0.0861 memory: 17350 grad_norm: 9.1310 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8720 loss: 0.8720 2022/07/25 00:10:55 - mmengine - INFO - Epoch(train) [96][300/3757] lr: 1.0000e-04 eta: 3:25:17 time: 0.7072 data_time: 0.0952 memory: 17350 grad_norm: 8.9167 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0099 loss: 1.0099 2022/07/25 00:11:08 - mmengine - INFO - Epoch(train) [96][320/3757] lr: 1.0000e-04 eta: 3:25:04 time: 0.6375 data_time: 0.0812 memory: 17350 grad_norm: 9.2721 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9092 loss: 0.9092 2022/07/25 00:11:22 - mmengine - INFO - Epoch(train) [96][340/3757] lr: 1.0000e-04 eta: 3:24:51 time: 0.6984 data_time: 0.1303 memory: 17350 grad_norm: 9.4343 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2191 loss: 1.2191 2022/07/25 00:11:35 - mmengine - INFO - Epoch(train) [96][360/3757] lr: 1.0000e-04 eta: 3:24:37 time: 0.6119 data_time: 0.1265 memory: 17350 grad_norm: 9.2329 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9614 loss: 0.9614 2022/07/25 00:11:49 - mmengine - INFO - Epoch(train) [96][380/3757] lr: 1.0000e-04 eta: 3:24:24 time: 0.7349 data_time: 0.1199 memory: 17350 grad_norm: 9.0658 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0370 loss: 1.0370 2022/07/25 00:12:02 - mmengine - INFO - Epoch(train) [96][400/3757] lr: 1.0000e-04 eta: 3:24:11 time: 0.6255 data_time: 0.0338 memory: 17350 grad_norm: 8.9654 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8984 loss: 0.8984 2022/07/25 00:12:16 - mmengine - INFO - Epoch(train) [96][420/3757] lr: 1.0000e-04 eta: 3:23:57 time: 0.7182 data_time: 0.0216 memory: 17350 grad_norm: 8.8521 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7713 loss: 0.7713 2022/07/25 00:12:28 - mmengine - INFO - Epoch(train) [96][440/3757] lr: 1.0000e-04 eta: 3:23:44 time: 0.6019 data_time: 0.0224 memory: 17350 grad_norm: 8.8841 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9152 loss: 0.9152 2022/07/25 00:12:42 - mmengine - INFO - Epoch(train) [96][460/3757] lr: 1.0000e-04 eta: 3:23:31 time: 0.6990 data_time: 0.0240 memory: 17350 grad_norm: 9.6089 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8420 loss: 0.8420 2022/07/25 00:12:54 - mmengine - INFO - Epoch(train) [96][480/3757] lr: 1.0000e-04 eta: 3:23:17 time: 0.6081 data_time: 0.0224 memory: 17350 grad_norm: 9.4285 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1727 loss: 1.1727 2022/07/25 00:13:09 - mmengine - INFO - Epoch(train) [96][500/3757] lr: 1.0000e-04 eta: 3:23:04 time: 0.7294 data_time: 0.0228 memory: 17350 grad_norm: 8.8054 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7179 loss: 0.7179 2022/07/25 00:13:21 - mmengine - INFO - Epoch(train) [96][520/3757] lr: 1.0000e-04 eta: 3:22:51 time: 0.5920 data_time: 0.0232 memory: 17350 grad_norm: 8.8203 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2095 loss: 1.2095 2022/07/25 00:13:36 - mmengine - INFO - Epoch(train) [96][540/3757] lr: 1.0000e-04 eta: 3:22:37 time: 0.7582 data_time: 0.0229 memory: 17350 grad_norm: 9.2709 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.8301 loss: 0.8301 2022/07/25 00:13:48 - mmengine - INFO - Epoch(train) [96][560/3757] lr: 1.0000e-04 eta: 3:22:24 time: 0.5870 data_time: 0.0224 memory: 17350 grad_norm: 9.1795 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0768 loss: 1.0768 2022/07/25 00:14:02 - mmengine - INFO - Epoch(train) [96][580/3757] lr: 1.0000e-04 eta: 3:22:11 time: 0.7235 data_time: 0.0236 memory: 17350 grad_norm: 9.6037 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.8743 loss: 0.8743 2022/07/25 00:14:15 - mmengine - INFO - Epoch(train) [96][600/3757] lr: 1.0000e-04 eta: 3:21:57 time: 0.6289 data_time: 0.0239 memory: 17350 grad_norm: 9.0659 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0924 loss: 1.0924 2022/07/25 00:14:29 - mmengine - INFO - Epoch(train) [96][620/3757] lr: 1.0000e-04 eta: 3:21:44 time: 0.7023 data_time: 0.0237 memory: 17350 grad_norm: 8.8854 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9703 loss: 0.9703 2022/07/25 00:14:41 - mmengine - INFO - Epoch(train) [96][640/3757] lr: 1.0000e-04 eta: 3:21:31 time: 0.5992 data_time: 0.0226 memory: 17350 grad_norm: 9.0421 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7029 loss: 0.7029 2022/07/25 00:14:55 - mmengine - INFO - Epoch(train) [96][660/3757] lr: 1.0000e-04 eta: 3:21:17 time: 0.7133 data_time: 0.0288 memory: 17350 grad_norm: 8.6862 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8839 loss: 0.8839 2022/07/25 00:15:08 - mmengine - INFO - Epoch(train) [96][680/3757] lr: 1.0000e-04 eta: 3:21:04 time: 0.6172 data_time: 0.0226 memory: 17350 grad_norm: 8.8372 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8242 loss: 0.8242 2022/07/25 00:15:23 - mmengine - INFO - Epoch(train) [96][700/3757] lr: 1.0000e-04 eta: 3:20:51 time: 0.7724 data_time: 0.0273 memory: 17350 grad_norm: 8.8159 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9239 loss: 0.9239 2022/07/25 00:15:36 - mmengine - INFO - Epoch(train) [96][720/3757] lr: 1.0000e-04 eta: 3:20:38 time: 0.6403 data_time: 0.0232 memory: 17350 grad_norm: 8.8193 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8777 loss: 0.8777 2022/07/25 00:15:50 - mmengine - INFO - Epoch(train) [96][740/3757] lr: 1.0000e-04 eta: 3:20:24 time: 0.6975 data_time: 0.0240 memory: 17350 grad_norm: 8.8202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0830 loss: 1.0830 2022/07/25 00:16:01 - mmengine - INFO - Epoch(train) [96][760/3757] lr: 1.0000e-04 eta: 3:20:11 time: 0.5693 data_time: 0.0223 memory: 17350 grad_norm: 9.0519 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9851 loss: 0.9851 2022/07/25 00:16:16 - mmengine - INFO - Epoch(train) [96][780/3757] lr: 1.0000e-04 eta: 3:19:58 time: 0.7448 data_time: 0.0247 memory: 17350 grad_norm: 9.2984 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9755 loss: 0.9755 2022/07/25 00:16:28 - mmengine - INFO - Epoch(train) [96][800/3757] lr: 1.0000e-04 eta: 3:19:44 time: 0.5846 data_time: 0.0213 memory: 17350 grad_norm: 9.5154 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7915 loss: 0.7915 2022/07/25 00:16:42 - mmengine - INFO - Epoch(train) [96][820/3757] lr: 1.0000e-04 eta: 3:19:31 time: 0.7190 data_time: 0.0351 memory: 17350 grad_norm: 8.4944 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1238 loss: 1.1238 2022/07/25 00:16:55 - mmengine - INFO - Epoch(train) [96][840/3757] lr: 1.0000e-04 eta: 3:19:17 time: 0.6085 data_time: 0.0233 memory: 17350 grad_norm: 9.3724 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2130 loss: 1.2130 2022/07/25 00:17:08 - mmengine - INFO - Epoch(train) [96][860/3757] lr: 1.0000e-04 eta: 3:19:04 time: 0.6942 data_time: 0.0220 memory: 17350 grad_norm: 8.5802 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8113 loss: 0.8113 2022/07/25 00:17:21 - mmengine - INFO - Epoch(train) [96][880/3757] lr: 1.0000e-04 eta: 3:18:51 time: 0.6237 data_time: 0.0342 memory: 17350 grad_norm: 9.1419 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9660 loss: 0.9660 2022/07/25 00:17:35 - mmengine - INFO - Epoch(train) [96][900/3757] lr: 1.0000e-04 eta: 3:18:38 time: 0.6960 data_time: 0.0237 memory: 17350 grad_norm: 9.5210 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8619 loss: 0.8619 2022/07/25 00:17:47 - mmengine - INFO - Epoch(train) [96][920/3757] lr: 1.0000e-04 eta: 3:18:24 time: 0.6143 data_time: 0.0240 memory: 17350 grad_norm: 8.8789 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9711 loss: 0.9711 2022/07/25 00:18:01 - mmengine - INFO - Epoch(train) [96][940/3757] lr: 1.0000e-04 eta: 3:18:11 time: 0.6774 data_time: 0.0239 memory: 17350 grad_norm: 8.9319 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8028 loss: 0.8028 2022/07/25 00:18:14 - mmengine - INFO - Epoch(train) [96][960/3757] lr: 1.0000e-04 eta: 3:17:57 time: 0.6472 data_time: 0.0253 memory: 17350 grad_norm: 8.9722 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0582 loss: 1.0582 2022/07/25 00:18:28 - mmengine - INFO - Epoch(train) [96][980/3757] lr: 1.0000e-04 eta: 3:17:44 time: 0.6935 data_time: 0.0227 memory: 17350 grad_norm: 8.9120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9074 loss: 0.9074 2022/07/25 00:18:40 - mmengine - INFO - Epoch(train) [96][1000/3757] lr: 1.0000e-04 eta: 3:17:31 time: 0.6191 data_time: 0.0229 memory: 17350 grad_norm: 9.0219 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8566 loss: 0.8566 2022/07/25 00:18:55 - mmengine - INFO - Epoch(train) [96][1020/3757] lr: 1.0000e-04 eta: 3:17:18 time: 0.7574 data_time: 0.0231 memory: 17350 grad_norm: 9.1923 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9041 loss: 0.9041 2022/07/25 00:19:07 - mmengine - INFO - Epoch(train) [96][1040/3757] lr: 1.0000e-04 eta: 3:17:04 time: 0.6051 data_time: 0.0234 memory: 17350 grad_norm: 9.3314 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4659 loss: 1.4659 2022/07/25 00:19:22 - mmengine - INFO - Epoch(train) [96][1060/3757] lr: 1.0000e-04 eta: 3:16:51 time: 0.7375 data_time: 0.0247 memory: 17350 grad_norm: 8.4961 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9066 loss: 0.9066 2022/07/25 00:19:35 - mmengine - INFO - Epoch(train) [96][1080/3757] lr: 1.0000e-04 eta: 3:16:38 time: 0.6349 data_time: 0.0250 memory: 17350 grad_norm: 8.8468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9234 loss: 0.9234 2022/07/25 00:19:39 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 00:19:49 - mmengine - INFO - Epoch(train) [96][1100/3757] lr: 1.0000e-04 eta: 3:16:24 time: 0.7258 data_time: 0.0228 memory: 17350 grad_norm: 9.2567 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1213 loss: 1.1213 2022/07/25 00:20:02 - mmengine - INFO - Epoch(train) [96][1120/3757] lr: 1.0000e-04 eta: 3:16:11 time: 0.6092 data_time: 0.0228 memory: 17350 grad_norm: 9.0902 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1548 loss: 1.1548 2022/07/25 00:20:17 - mmengine - INFO - Epoch(train) [96][1140/3757] lr: 1.0000e-04 eta: 3:15:58 time: 0.7546 data_time: 0.0284 memory: 17350 grad_norm: 9.2522 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9407 loss: 0.9407 2022/07/25 00:20:28 - mmengine - INFO - Epoch(train) [96][1160/3757] lr: 1.0000e-04 eta: 3:15:44 time: 0.5902 data_time: 0.0219 memory: 17350 grad_norm: 9.0596 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0463 loss: 1.0463 2022/07/25 00:20:43 - mmengine - INFO - Epoch(train) [96][1180/3757] lr: 1.0000e-04 eta: 3:15:31 time: 0.7311 data_time: 0.0242 memory: 17350 grad_norm: 8.8067 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7686 loss: 0.7686 2022/07/25 00:20:55 - mmengine - INFO - Epoch(train) [96][1200/3757] lr: 1.0000e-04 eta: 3:15:18 time: 0.6146 data_time: 0.0247 memory: 17350 grad_norm: 9.1300 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0314 loss: 1.0314 2022/07/25 00:21:10 - mmengine - INFO - Epoch(train) [96][1220/3757] lr: 1.0000e-04 eta: 3:15:04 time: 0.7224 data_time: 0.0234 memory: 17350 grad_norm: 8.7524 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7255 loss: 0.7255 2022/07/25 00:21:21 - mmengine - INFO - Epoch(train) [96][1240/3757] lr: 1.0000e-04 eta: 3:14:51 time: 0.5683 data_time: 0.0253 memory: 17350 grad_norm: 8.6184 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0450 loss: 1.0450 2022/07/25 00:21:36 - mmengine - INFO - Epoch(train) [96][1260/3757] lr: 1.0000e-04 eta: 3:14:38 time: 0.7128 data_time: 0.0230 memory: 17350 grad_norm: 9.1902 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0136 loss: 1.0136 2022/07/25 00:21:47 - mmengine - INFO - Epoch(train) [96][1280/3757] lr: 1.0000e-04 eta: 3:14:24 time: 0.5802 data_time: 0.0228 memory: 17350 grad_norm: 9.0268 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8566 loss: 0.8566 2022/07/25 00:22:02 - mmengine - INFO - Epoch(train) [96][1300/3757] lr: 1.0000e-04 eta: 3:14:11 time: 0.7291 data_time: 0.0220 memory: 17350 grad_norm: 9.1047 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1305 loss: 1.1305 2022/07/25 00:22:13 - mmengine - INFO - Epoch(train) [96][1320/3757] lr: 1.0000e-04 eta: 3:13:58 time: 0.5858 data_time: 0.0235 memory: 17350 grad_norm: 9.2850 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0150 loss: 1.0150 2022/07/25 00:22:28 - mmengine - INFO - Epoch(train) [96][1340/3757] lr: 1.0000e-04 eta: 3:13:44 time: 0.7230 data_time: 0.0220 memory: 17350 grad_norm: 8.8927 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0630 loss: 1.0630 2022/07/25 00:22:41 - mmengine - INFO - Epoch(train) [96][1360/3757] lr: 1.0000e-04 eta: 3:13:31 time: 0.6401 data_time: 0.0221 memory: 17350 grad_norm: 8.9068 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1046 loss: 1.1046 2022/07/25 00:22:55 - mmengine - INFO - Epoch(train) [96][1380/3757] lr: 1.0000e-04 eta: 3:13:18 time: 0.7199 data_time: 0.0222 memory: 17350 grad_norm: 9.0692 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8687 loss: 0.8687 2022/07/25 00:23:08 - mmengine - INFO - Epoch(train) [96][1400/3757] lr: 1.0000e-04 eta: 3:13:04 time: 0.6173 data_time: 0.0251 memory: 17350 grad_norm: 8.8237 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8680 loss: 0.8680 2022/07/25 00:23:22 - mmengine - INFO - Epoch(train) [96][1420/3757] lr: 1.0000e-04 eta: 3:12:51 time: 0.7277 data_time: 0.0225 memory: 17350 grad_norm: 9.3835 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8656 loss: 0.8656 2022/07/25 00:23:34 - mmengine - INFO - Epoch(train) [96][1440/3757] lr: 1.0000e-04 eta: 3:12:38 time: 0.5863 data_time: 0.0252 memory: 17350 grad_norm: 8.7920 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3263 loss: 1.3263 2022/07/25 00:23:49 - mmengine - INFO - Epoch(train) [96][1460/3757] lr: 1.0000e-04 eta: 3:12:24 time: 0.7466 data_time: 0.0157 memory: 17350 grad_norm: 8.8353 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6981 loss: 0.6981 2022/07/25 00:24:01 - mmengine - INFO - Epoch(train) [96][1480/3757] lr: 1.0000e-04 eta: 3:12:11 time: 0.6151 data_time: 0.0264 memory: 17350 grad_norm: 8.8919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8918 loss: 0.8918 2022/07/25 00:24:15 - mmengine - INFO - Epoch(train) [96][1500/3757] lr: 1.0000e-04 eta: 3:11:58 time: 0.6910 data_time: 0.0240 memory: 17350 grad_norm: 8.9730 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9900 loss: 0.9900 2022/07/25 00:24:28 - mmengine - INFO - Epoch(train) [96][1520/3757] lr: 1.0000e-04 eta: 3:11:44 time: 0.6344 data_time: 0.0197 memory: 17350 grad_norm: 9.2828 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0514 loss: 1.0514 2022/07/25 00:24:42 - mmengine - INFO - Epoch(train) [96][1540/3757] lr: 1.0000e-04 eta: 3:11:31 time: 0.7161 data_time: 0.0219 memory: 17350 grad_norm: 9.2080 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1287 loss: 1.1287 2022/07/25 00:24:54 - mmengine - INFO - Epoch(train) [96][1560/3757] lr: 1.0000e-04 eta: 3:11:18 time: 0.5909 data_time: 0.0236 memory: 17350 grad_norm: 9.1842 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7687 loss: 0.7687 2022/07/25 00:25:09 - mmengine - INFO - Epoch(train) [96][1580/3757] lr: 1.0000e-04 eta: 3:11:04 time: 0.7453 data_time: 0.0211 memory: 17350 grad_norm: 9.5413 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8233 loss: 0.8233 2022/07/25 00:25:22 - mmengine - INFO - Epoch(train) [96][1600/3757] lr: 1.0000e-04 eta: 3:10:51 time: 0.6510 data_time: 0.0257 memory: 17350 grad_norm: 9.4415 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3257 loss: 1.3257 2022/07/25 00:25:35 - mmengine - INFO - Epoch(train) [96][1620/3757] lr: 1.0000e-04 eta: 3:10:38 time: 0.6729 data_time: 0.0235 memory: 17350 grad_norm: 9.1194 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0118 loss: 1.0118 2022/07/25 00:25:48 - mmengine - INFO - Epoch(train) [96][1640/3757] lr: 1.0000e-04 eta: 3:10:24 time: 0.6246 data_time: 0.0426 memory: 17350 grad_norm: 9.4846 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1031 loss: 1.1031 2022/07/25 00:26:02 - mmengine - INFO - Epoch(train) [96][1660/3757] lr: 1.0000e-04 eta: 3:10:11 time: 0.7190 data_time: 0.0242 memory: 17350 grad_norm: 8.7700 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8218 loss: 0.8218 2022/07/25 00:26:14 - mmengine - INFO - Epoch(train) [96][1680/3757] lr: 1.0000e-04 eta: 3:09:58 time: 0.6036 data_time: 0.0267 memory: 17350 grad_norm: 8.8931 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9310 loss: 0.9310 2022/07/25 00:26:29 - mmengine - INFO - Epoch(train) [96][1700/3757] lr: 1.0000e-04 eta: 3:09:44 time: 0.7312 data_time: 0.0240 memory: 17350 grad_norm: 9.0064 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0342 loss: 1.0342 2022/07/25 00:26:41 - mmengine - INFO - Epoch(train) [96][1720/3757] lr: 1.0000e-04 eta: 3:09:31 time: 0.5888 data_time: 0.0232 memory: 17350 grad_norm: 8.8201 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8534 loss: 0.8534 2022/07/25 00:26:55 - mmengine - INFO - Epoch(train) [96][1740/3757] lr: 1.0000e-04 eta: 3:09:18 time: 0.7223 data_time: 0.0240 memory: 17350 grad_norm: 9.2790 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0616 loss: 1.0616 2022/07/25 00:27:07 - mmengine - INFO - Epoch(train) [96][1760/3757] lr: 1.0000e-04 eta: 3:09:04 time: 0.6034 data_time: 0.0230 memory: 17350 grad_norm: 9.3367 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2058 loss: 1.2058 2022/07/25 00:27:22 - mmengine - INFO - Epoch(train) [96][1780/3757] lr: 1.0000e-04 eta: 3:08:51 time: 0.7240 data_time: 0.0225 memory: 17350 grad_norm: 9.1755 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0233 loss: 1.0233 2022/07/25 00:27:34 - mmengine - INFO - Epoch(train) [96][1800/3757] lr: 1.0000e-04 eta: 3:08:38 time: 0.5849 data_time: 0.0243 memory: 17350 grad_norm: 9.3966 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8382 loss: 0.8382 2022/07/25 00:27:48 - mmengine - INFO - Epoch(train) [96][1820/3757] lr: 1.0000e-04 eta: 3:08:24 time: 0.7178 data_time: 0.0214 memory: 17350 grad_norm: 9.1574 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2435 loss: 1.2435 2022/07/25 00:28:01 - mmengine - INFO - Epoch(train) [96][1840/3757] lr: 1.0000e-04 eta: 3:08:11 time: 0.6390 data_time: 0.0226 memory: 17350 grad_norm: 8.8759 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8339 loss: 0.8339 2022/07/25 00:28:15 - mmengine - INFO - Epoch(train) [96][1860/3757] lr: 1.0000e-04 eta: 3:07:58 time: 0.7172 data_time: 0.0229 memory: 17350 grad_norm: 9.5477 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0498 loss: 1.0498 2022/07/25 00:28:27 - mmengine - INFO - Epoch(train) [96][1880/3757] lr: 1.0000e-04 eta: 3:07:44 time: 0.5824 data_time: 0.0241 memory: 17350 grad_norm: 9.0400 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9093 loss: 0.9093 2022/07/25 00:28:41 - mmengine - INFO - Epoch(train) [96][1900/3757] lr: 1.0000e-04 eta: 3:07:31 time: 0.7015 data_time: 0.0209 memory: 17350 grad_norm: 9.0484 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7476 loss: 0.7476 2022/07/25 00:28:53 - mmengine - INFO - Epoch(train) [96][1920/3757] lr: 1.0000e-04 eta: 3:07:18 time: 0.5876 data_time: 0.0234 memory: 17350 grad_norm: 8.9975 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0013 loss: 1.0013 2022/07/25 00:29:07 - mmengine - INFO - Epoch(train) [96][1940/3757] lr: 1.0000e-04 eta: 3:07:04 time: 0.7267 data_time: 0.0216 memory: 17350 grad_norm: 8.9135 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0018 loss: 1.0018 2022/07/25 00:29:19 - mmengine - INFO - Epoch(train) [96][1960/3757] lr: 1.0000e-04 eta: 3:06:51 time: 0.5859 data_time: 0.0221 memory: 17350 grad_norm: 8.7905 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8914 loss: 0.8914 2022/07/25 00:29:33 - mmengine - INFO - Epoch(train) [96][1980/3757] lr: 1.0000e-04 eta: 3:06:38 time: 0.7047 data_time: 0.0177 memory: 17350 grad_norm: 8.4323 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8976 loss: 0.8976 2022/07/25 00:29:46 - mmengine - INFO - Epoch(train) [96][2000/3757] lr: 1.0000e-04 eta: 3:06:24 time: 0.6339 data_time: 0.0235 memory: 17350 grad_norm: 9.1741 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8653 loss: 0.8653 2022/07/25 00:30:00 - mmengine - INFO - Epoch(train) [96][2020/3757] lr: 1.0000e-04 eta: 3:06:11 time: 0.7169 data_time: 0.0227 memory: 17350 grad_norm: 9.1390 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9349 loss: 0.9349 2022/07/25 00:30:13 - mmengine - INFO - Epoch(train) [96][2040/3757] lr: 1.0000e-04 eta: 3:05:58 time: 0.6345 data_time: 0.0257 memory: 17350 grad_norm: 9.2954 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0729 loss: 1.0729 2022/07/25 00:30:27 - mmengine - INFO - Epoch(train) [96][2060/3757] lr: 1.0000e-04 eta: 3:05:44 time: 0.7157 data_time: 0.0245 memory: 17350 grad_norm: 9.3009 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1897 loss: 1.1897 2022/07/25 00:30:39 - mmengine - INFO - Epoch(train) [96][2080/3757] lr: 1.0000e-04 eta: 3:05:31 time: 0.6088 data_time: 0.0213 memory: 17350 grad_norm: 8.8884 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0050 loss: 1.0050 2022/07/25 00:30:43 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 00:30:53 - mmengine - INFO - Epoch(train) [96][2100/3757] lr: 1.0000e-04 eta: 3:05:18 time: 0.6919 data_time: 0.0233 memory: 17350 grad_norm: 8.5923 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0382 loss: 1.0382 2022/07/25 00:31:07 - mmengine - INFO - Epoch(train) [96][2120/3757] lr: 1.0000e-04 eta: 3:05:04 time: 0.6669 data_time: 0.0231 memory: 17350 grad_norm: 8.9804 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8562 loss: 0.8562 2022/07/25 00:31:20 - mmengine - INFO - Epoch(train) [96][2140/3757] lr: 1.0000e-04 eta: 3:04:51 time: 0.6555 data_time: 0.0219 memory: 17350 grad_norm: 8.7259 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8418 loss: 0.8418 2022/07/25 00:31:34 - mmengine - INFO - Epoch(train) [96][2160/3757] lr: 1.0000e-04 eta: 3:04:38 time: 0.7120 data_time: 0.0244 memory: 17350 grad_norm: 9.0171 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0685 loss: 1.0685 2022/07/25 00:31:47 - mmengine - INFO - Epoch(train) [96][2180/3757] lr: 1.0000e-04 eta: 3:04:24 time: 0.6464 data_time: 0.0250 memory: 17350 grad_norm: 9.3040 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7594 loss: 0.7594 2022/07/25 00:32:00 - mmengine - INFO - Epoch(train) [96][2200/3757] lr: 1.0000e-04 eta: 3:04:11 time: 0.6716 data_time: 0.0247 memory: 17350 grad_norm: 9.5458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8630 loss: 0.8630 2022/07/25 00:32:13 - mmengine - INFO - Epoch(train) [96][2220/3757] lr: 1.0000e-04 eta: 3:03:58 time: 0.6432 data_time: 0.0259 memory: 17350 grad_norm: 9.1986 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0681 loss: 1.0681 2022/07/25 00:32:27 - mmengine - INFO - Epoch(train) [96][2240/3757] lr: 1.0000e-04 eta: 3:03:44 time: 0.6933 data_time: 0.0226 memory: 17350 grad_norm: 8.9183 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9219 loss: 0.9219 2022/07/25 00:32:40 - mmengine - INFO - Epoch(train) [96][2260/3757] lr: 1.0000e-04 eta: 3:03:31 time: 0.6289 data_time: 0.0228 memory: 17350 grad_norm: 9.2512 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9254 loss: 0.9254 2022/07/25 00:32:54 - mmengine - INFO - Epoch(train) [96][2280/3757] lr: 1.0000e-04 eta: 3:03:18 time: 0.7081 data_time: 0.0234 memory: 17350 grad_norm: 8.8562 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2210 loss: 1.2210 2022/07/25 00:33:07 - mmengine - INFO - Epoch(train) [96][2300/3757] lr: 1.0000e-04 eta: 3:03:05 time: 0.6677 data_time: 0.0230 memory: 17350 grad_norm: 8.9880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0293 loss: 1.0293 2022/07/25 00:33:20 - mmengine - INFO - Epoch(train) [96][2320/3757] lr: 1.0000e-04 eta: 3:02:51 time: 0.6204 data_time: 0.0219 memory: 17350 grad_norm: 8.8761 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9672 loss: 0.9672 2022/07/25 00:33:33 - mmengine - INFO - Epoch(train) [96][2340/3757] lr: 1.0000e-04 eta: 3:02:38 time: 0.6866 data_time: 0.0232 memory: 17350 grad_norm: 8.9049 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9687 loss: 0.9687 2022/07/25 00:33:47 - mmengine - INFO - Epoch(train) [96][2360/3757] lr: 1.0000e-04 eta: 3:02:25 time: 0.6819 data_time: 0.0254 memory: 17350 grad_norm: 9.0597 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1003 loss: 1.1003 2022/07/25 00:34:00 - mmengine - INFO - Epoch(train) [96][2380/3757] lr: 1.0000e-04 eta: 3:02:11 time: 0.6481 data_time: 0.0221 memory: 17350 grad_norm: 9.2709 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8939 loss: 0.8939 2022/07/25 00:34:14 - mmengine - INFO - Epoch(train) [96][2400/3757] lr: 1.0000e-04 eta: 3:01:58 time: 0.6916 data_time: 0.0231 memory: 17350 grad_norm: 9.1783 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1646 loss: 1.1646 2022/07/25 00:34:27 - mmengine - INFO - Epoch(train) [96][2420/3757] lr: 1.0000e-04 eta: 3:01:45 time: 0.6287 data_time: 0.0253 memory: 17350 grad_norm: 9.2199 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0087 loss: 1.0087 2022/07/25 00:34:41 - mmengine - INFO - Epoch(train) [96][2440/3757] lr: 1.0000e-04 eta: 3:01:31 time: 0.6989 data_time: 0.0236 memory: 17350 grad_norm: 8.9784 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8725 loss: 0.8725 2022/07/25 00:34:53 - mmengine - INFO - Epoch(train) [96][2460/3757] lr: 1.0000e-04 eta: 3:01:18 time: 0.6335 data_time: 0.0247 memory: 17350 grad_norm: 8.7689 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9868 loss: 0.9868 2022/07/25 00:35:07 - mmengine - INFO - Epoch(train) [96][2480/3757] lr: 1.0000e-04 eta: 3:01:05 time: 0.7118 data_time: 0.0249 memory: 17350 grad_norm: 8.8386 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9661 loss: 0.9661 2022/07/25 00:35:20 - mmengine - INFO - Epoch(train) [96][2500/3757] lr: 1.0000e-04 eta: 3:00:51 time: 0.6479 data_time: 0.0222 memory: 17350 grad_norm: 9.1638 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0361 loss: 1.0361 2022/07/25 00:35:34 - mmengine - INFO - Epoch(train) [96][2520/3757] lr: 1.0000e-04 eta: 3:00:38 time: 0.6921 data_time: 0.0227 memory: 17350 grad_norm: 9.3941 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0461 loss: 1.0461 2022/07/25 00:35:48 - mmengine - INFO - Epoch(train) [96][2540/3757] lr: 1.0000e-04 eta: 3:00:25 time: 0.7057 data_time: 0.0228 memory: 17350 grad_norm: 9.5350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9452 loss: 0.9452 2022/07/25 00:35:59 - mmengine - INFO - Epoch(train) [96][2560/3757] lr: 1.0000e-04 eta: 3:00:11 time: 0.5370 data_time: 0.0229 memory: 17350 grad_norm: 8.8892 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9062 loss: 0.9062 2022/07/25 00:36:14 - mmengine - INFO - Epoch(train) [96][2580/3757] lr: 1.0000e-04 eta: 2:59:58 time: 0.7140 data_time: 0.0231 memory: 17350 grad_norm: 9.1638 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7146 loss: 0.7146 2022/07/25 00:36:26 - mmengine - INFO - Epoch(train) [96][2600/3757] lr: 1.0000e-04 eta: 2:59:45 time: 0.6116 data_time: 0.0226 memory: 17350 grad_norm: 9.4529 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0401 loss: 1.0401 2022/07/25 00:36:41 - mmengine - INFO - Epoch(train) [96][2620/3757] lr: 1.0000e-04 eta: 2:59:31 time: 0.7466 data_time: 0.0226 memory: 17350 grad_norm: 9.6254 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1283 loss: 1.1283 2022/07/25 00:36:53 - mmengine - INFO - Epoch(train) [96][2640/3757] lr: 1.0000e-04 eta: 2:59:18 time: 0.6056 data_time: 0.0237 memory: 17350 grad_norm: 8.6349 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8813 loss: 0.8813 2022/07/25 00:37:07 - mmengine - INFO - Epoch(train) [96][2660/3757] lr: 1.0000e-04 eta: 2:59:05 time: 0.7091 data_time: 0.0228 memory: 17350 grad_norm: 9.6021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9083 loss: 0.9083 2022/07/25 00:37:19 - mmengine - INFO - Epoch(train) [96][2680/3757] lr: 1.0000e-04 eta: 2:58:51 time: 0.5838 data_time: 0.0265 memory: 17350 grad_norm: 8.9824 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6153 loss: 0.6153 2022/07/25 00:37:33 - mmengine - INFO - Epoch(train) [96][2700/3757] lr: 1.0000e-04 eta: 2:58:38 time: 0.7230 data_time: 0.0225 memory: 17350 grad_norm: 9.2907 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0620 loss: 1.0620 2022/07/25 00:37:45 - mmengine - INFO - Epoch(train) [96][2720/3757] lr: 1.0000e-04 eta: 2:58:25 time: 0.6076 data_time: 0.0229 memory: 17350 grad_norm: 9.1721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9798 loss: 0.9798 2022/07/25 00:38:00 - mmengine - INFO - Epoch(train) [96][2740/3757] lr: 1.0000e-04 eta: 2:58:11 time: 0.7049 data_time: 0.0199 memory: 17350 grad_norm: 8.8356 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9406 loss: 0.9406 2022/07/25 00:38:12 - mmengine - INFO - Epoch(train) [96][2760/3757] lr: 1.0000e-04 eta: 2:57:58 time: 0.5997 data_time: 0.0229 memory: 17350 grad_norm: 9.0366 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9616 loss: 0.9616 2022/07/25 00:38:25 - mmengine - INFO - Epoch(train) [96][2780/3757] lr: 1.0000e-04 eta: 2:57:45 time: 0.6791 data_time: 0.0222 memory: 17350 grad_norm: 9.0476 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7132 loss: 0.7132 2022/07/25 00:38:37 - mmengine - INFO - Epoch(train) [96][2800/3757] lr: 1.0000e-04 eta: 2:57:31 time: 0.6104 data_time: 0.0218 memory: 17350 grad_norm: 9.3135 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0575 loss: 1.0575 2022/07/25 00:38:52 - mmengine - INFO - Epoch(train) [96][2820/3757] lr: 1.0000e-04 eta: 2:57:18 time: 0.7218 data_time: 0.0246 memory: 17350 grad_norm: 8.8598 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0490 loss: 1.0490 2022/07/25 00:39:04 - mmengine - INFO - Epoch(train) [96][2840/3757] lr: 1.0000e-04 eta: 2:57:05 time: 0.5972 data_time: 0.0226 memory: 17350 grad_norm: 9.1458 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2200 loss: 1.2200 2022/07/25 00:39:18 - mmengine - INFO - Epoch(train) [96][2860/3757] lr: 1.0000e-04 eta: 2:56:51 time: 0.7267 data_time: 0.0229 memory: 17350 grad_norm: 8.9173 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7789 loss: 0.7789 2022/07/25 00:39:30 - mmengine - INFO - Epoch(train) [96][2880/3757] lr: 1.0000e-04 eta: 2:56:38 time: 0.5930 data_time: 0.0219 memory: 17350 grad_norm: 9.0915 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7304 loss: 0.7304 2022/07/25 00:39:44 - mmengine - INFO - Epoch(train) [96][2900/3757] lr: 1.0000e-04 eta: 2:56:25 time: 0.6757 data_time: 0.0212 memory: 17350 grad_norm: 9.0163 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8083 loss: 0.8083 2022/07/25 00:39:56 - mmengine - INFO - Epoch(train) [96][2920/3757] lr: 1.0000e-04 eta: 2:56:11 time: 0.6117 data_time: 0.0249 memory: 17350 grad_norm: 9.1504 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9402 loss: 0.9402 2022/07/25 00:40:12 - mmengine - INFO - Epoch(train) [96][2940/3757] lr: 1.0000e-04 eta: 2:55:58 time: 0.7860 data_time: 0.0216 memory: 17350 grad_norm: 8.9256 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7171 loss: 0.7171 2022/07/25 00:40:24 - mmengine - INFO - Epoch(train) [96][2960/3757] lr: 1.0000e-04 eta: 2:55:45 time: 0.6028 data_time: 0.0242 memory: 17350 grad_norm: 8.7412 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9537 loss: 0.9537 2022/07/25 00:40:38 - mmengine - INFO - Epoch(train) [96][2980/3757] lr: 1.0000e-04 eta: 2:55:31 time: 0.7121 data_time: 0.0228 memory: 17350 grad_norm: 8.6602 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9692 loss: 0.9692 2022/07/25 00:40:51 - mmengine - INFO - Epoch(train) [96][3000/3757] lr: 1.0000e-04 eta: 2:55:18 time: 0.6377 data_time: 0.0258 memory: 17350 grad_norm: 9.6471 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0255 loss: 1.0255 2022/07/25 00:41:05 - mmengine - INFO - Epoch(train) [96][3020/3757] lr: 1.0000e-04 eta: 2:55:05 time: 0.7091 data_time: 0.0225 memory: 17350 grad_norm: 9.2350 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0198 loss: 1.0198 2022/07/25 00:41:17 - mmengine - INFO - Epoch(train) [96][3040/3757] lr: 1.0000e-04 eta: 2:54:51 time: 0.6137 data_time: 0.0222 memory: 17350 grad_norm: 9.0009 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1380 loss: 1.1380 2022/07/25 00:41:31 - mmengine - INFO - Epoch(train) [96][3060/3757] lr: 1.0000e-04 eta: 2:54:38 time: 0.6993 data_time: 0.0230 memory: 17350 grad_norm: 8.9128 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0895 loss: 1.0895 2022/07/25 00:41:44 - mmengine - INFO - Epoch(train) [96][3080/3757] lr: 1.0000e-04 eta: 2:54:25 time: 0.6073 data_time: 0.0284 memory: 17350 grad_norm: 9.0337 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1373 loss: 1.1373 2022/07/25 00:41:48 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 00:41:58 - mmengine - INFO - Epoch(train) [96][3100/3757] lr: 1.0000e-04 eta: 2:54:11 time: 0.7251 data_time: 0.0222 memory: 17350 grad_norm: 9.1769 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0488 loss: 1.0488 2022/07/25 00:42:11 - mmengine - INFO - Epoch(train) [96][3120/3757] lr: 1.0000e-04 eta: 2:53:58 time: 0.6351 data_time: 0.0297 memory: 17350 grad_norm: 9.0360 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9575 loss: 0.9575 2022/07/25 00:42:26 - mmengine - INFO - Epoch(train) [96][3140/3757] lr: 1.0000e-04 eta: 2:53:45 time: 0.7402 data_time: 0.0218 memory: 17350 grad_norm: 8.8308 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8871 loss: 0.8871 2022/07/25 00:42:38 - mmengine - INFO - Epoch(train) [96][3160/3757] lr: 1.0000e-04 eta: 2:53:31 time: 0.6186 data_time: 0.0261 memory: 17350 grad_norm: 9.1392 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8922 loss: 0.8922 2022/07/25 00:42:54 - mmengine - INFO - Epoch(train) [96][3180/3757] lr: 1.0000e-04 eta: 2:53:18 time: 0.7782 data_time: 0.0215 memory: 17350 grad_norm: 8.7383 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8314 loss: 0.8314 2022/07/25 00:43:05 - mmengine - INFO - Epoch(train) [96][3200/3757] lr: 1.0000e-04 eta: 2:53:05 time: 0.5735 data_time: 0.0229 memory: 17350 grad_norm: 9.4131 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1079 loss: 1.1079 2022/07/25 00:43:19 - mmengine - INFO - Epoch(train) [96][3220/3757] lr: 1.0000e-04 eta: 2:52:51 time: 0.7123 data_time: 0.0219 memory: 17350 grad_norm: 9.1024 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1155 loss: 1.1155 2022/07/25 00:43:32 - mmengine - INFO - Epoch(train) [96][3240/3757] lr: 1.0000e-04 eta: 2:52:38 time: 0.6398 data_time: 0.0249 memory: 17350 grad_norm: 9.0547 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1964 loss: 1.1964 2022/07/25 00:43:46 - mmengine - INFO - Epoch(train) [96][3260/3757] lr: 1.0000e-04 eta: 2:52:25 time: 0.6906 data_time: 0.0208 memory: 17350 grad_norm: 8.7562 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8749 loss: 0.8749 2022/07/25 00:43:58 - mmengine - INFO - Epoch(train) [96][3280/3757] lr: 1.0000e-04 eta: 2:52:11 time: 0.5805 data_time: 0.0233 memory: 17350 grad_norm: 9.4453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0216 loss: 1.0216 2022/07/25 00:44:12 - mmengine - INFO - Epoch(train) [96][3300/3757] lr: 1.0000e-04 eta: 2:51:58 time: 0.7361 data_time: 0.0219 memory: 17350 grad_norm: 8.5655 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8165 loss: 0.8165 2022/07/25 00:44:24 - mmengine - INFO - Epoch(train) [96][3320/3757] lr: 1.0000e-04 eta: 2:51:45 time: 0.5999 data_time: 0.0239 memory: 17350 grad_norm: 9.3769 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0711 loss: 1.0711 2022/07/25 00:44:38 - mmengine - INFO - Epoch(train) [96][3340/3757] lr: 1.0000e-04 eta: 2:51:31 time: 0.7006 data_time: 0.0236 memory: 17350 grad_norm: 9.1173 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9486 loss: 0.9486 2022/07/25 00:44:51 - mmengine - INFO - Epoch(train) [96][3360/3757] lr: 1.0000e-04 eta: 2:51:18 time: 0.6037 data_time: 0.0239 memory: 17350 grad_norm: 9.3885 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0652 loss: 1.0652 2022/07/25 00:45:06 - mmengine - INFO - Epoch(train) [96][3380/3757] lr: 1.0000e-04 eta: 2:51:05 time: 0.7569 data_time: 0.0202 memory: 17350 grad_norm: 8.6851 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7594 loss: 0.7594 2022/07/25 00:45:18 - mmengine - INFO - Epoch(train) [96][3400/3757] lr: 1.0000e-04 eta: 2:50:51 time: 0.6187 data_time: 0.0245 memory: 17350 grad_norm: 8.8642 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9548 loss: 0.9548 2022/07/25 00:45:33 - mmengine - INFO - Epoch(train) [96][3420/3757] lr: 1.0000e-04 eta: 2:50:38 time: 0.7359 data_time: 0.0211 memory: 17350 grad_norm: 9.3494 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8768 loss: 0.8768 2022/07/25 00:45:45 - mmengine - INFO - Epoch(train) [96][3440/3757] lr: 1.0000e-04 eta: 2:50:25 time: 0.6290 data_time: 0.0234 memory: 17350 grad_norm: 9.3553 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7788 loss: 0.7788 2022/07/25 00:45:59 - mmengine - INFO - Epoch(train) [96][3460/3757] lr: 1.0000e-04 eta: 2:50:11 time: 0.6979 data_time: 0.0213 memory: 17350 grad_norm: 9.0507 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9513 loss: 0.9513 2022/07/25 00:46:11 - mmengine - INFO - Epoch(train) [96][3480/3757] lr: 1.0000e-04 eta: 2:49:58 time: 0.5730 data_time: 0.0231 memory: 17350 grad_norm: 8.8012 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1334 loss: 1.1334 2022/07/25 00:46:26 - mmengine - INFO - Epoch(train) [96][3500/3757] lr: 1.0000e-04 eta: 2:49:45 time: 0.7308 data_time: 0.0216 memory: 17350 grad_norm: 9.1278 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1791 loss: 1.1791 2022/07/25 00:46:38 - mmengine - INFO - Epoch(train) [96][3520/3757] lr: 1.0000e-04 eta: 2:49:31 time: 0.6069 data_time: 0.0248 memory: 17350 grad_norm: 9.1552 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1423 loss: 1.1423 2022/07/25 00:46:52 - mmengine - INFO - Epoch(train) [96][3540/3757] lr: 1.0000e-04 eta: 2:49:18 time: 0.7021 data_time: 0.0222 memory: 17350 grad_norm: 9.0478 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9643 loss: 0.9643 2022/07/25 00:47:04 - mmengine - INFO - Epoch(train) [96][3560/3757] lr: 1.0000e-04 eta: 2:49:05 time: 0.6054 data_time: 0.0233 memory: 17350 grad_norm: 9.2321 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2336 loss: 1.2336 2022/07/25 00:47:18 - mmengine - INFO - Epoch(train) [96][3580/3757] lr: 1.0000e-04 eta: 2:48:51 time: 0.7235 data_time: 0.0204 memory: 17350 grad_norm: 9.4554 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9539 loss: 0.9539 2022/07/25 00:47:30 - mmengine - INFO - Epoch(train) [96][3600/3757] lr: 1.0000e-04 eta: 2:48:38 time: 0.5893 data_time: 0.0218 memory: 17350 grad_norm: 8.9760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1284 loss: 1.1284 2022/07/25 00:47:45 - mmengine - INFO - Epoch(train) [96][3620/3757] lr: 1.0000e-04 eta: 2:48:25 time: 0.7559 data_time: 0.0220 memory: 17350 grad_norm: 8.7773 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8345 loss: 0.8345 2022/07/25 00:47:57 - mmengine - INFO - Epoch(train) [96][3640/3757] lr: 1.0000e-04 eta: 2:48:11 time: 0.5775 data_time: 0.0262 memory: 17350 grad_norm: 9.3664 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1572 loss: 1.1572 2022/07/25 00:48:12 - mmengine - INFO - Epoch(train) [96][3660/3757] lr: 1.0000e-04 eta: 2:47:58 time: 0.7468 data_time: 0.0228 memory: 17350 grad_norm: 9.2138 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8823 loss: 0.8823 2022/07/25 00:48:24 - mmengine - INFO - Epoch(train) [96][3680/3757] lr: 1.0000e-04 eta: 2:47:45 time: 0.5968 data_time: 0.0249 memory: 17350 grad_norm: 9.3035 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9045 loss: 0.9045 2022/07/25 00:48:38 - mmengine - INFO - Epoch(train) [96][3700/3757] lr: 1.0000e-04 eta: 2:47:31 time: 0.7072 data_time: 0.0234 memory: 17350 grad_norm: 8.9665 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9425 loss: 0.9425 2022/07/25 00:48:50 - mmengine - INFO - Epoch(train) [96][3720/3757] lr: 1.0000e-04 eta: 2:47:18 time: 0.5929 data_time: 0.0231 memory: 17350 grad_norm: 9.3986 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 0.9956 loss: 0.9956 2022/07/25 00:49:04 - mmengine - INFO - Epoch(train) [96][3740/3757] lr: 1.0000e-04 eta: 2:47:05 time: 0.7155 data_time: 0.0219 memory: 17350 grad_norm: 9.2669 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1958 loss: 1.1958 2022/07/25 00:49:11 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 00:49:11 - mmengine - INFO - Epoch(train) [96][3757/3757] lr: 1.0000e-04 eta: 2:47:05 time: 0.5378 data_time: 0.0226 memory: 17350 grad_norm: 9.2377 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.1114 loss: 1.1114 2022/07/25 00:49:28 - mmengine - INFO - Epoch(val) [96][20/310] eta: 0:04:01 time: 0.8334 data_time: 0.7179 memory: 3406 2022/07/25 00:49:39 - mmengine - INFO - Epoch(val) [96][40/310] eta: 0:02:24 time: 0.5342 data_time: 0.4213 memory: 3406 2022/07/25 00:49:54 - mmengine - INFO - Epoch(val) [96][60/310] eta: 0:03:13 time: 0.7733 data_time: 0.6599 memory: 3406 2022/07/25 00:50:05 - mmengine - INFO - Epoch(val) [96][80/310] eta: 0:02:07 time: 0.5545 data_time: 0.4419 memory: 3406 2022/07/25 00:50:21 - mmengine - INFO - Epoch(val) [96][100/310] eta: 0:02:42 time: 0.7737 data_time: 0.6602 memory: 3406 2022/07/25 00:50:32 - mmengine - INFO - Epoch(val) [96][120/310] eta: 0:01:46 time: 0.5580 data_time: 0.4448 memory: 3406 2022/07/25 00:50:48 - mmengine - INFO - Epoch(val) [96][140/310] eta: 0:02:12 time: 0.7803 data_time: 0.6661 memory: 3406 2022/07/25 00:50:59 - mmengine - INFO - Epoch(val) [96][160/310] eta: 0:01:21 time: 0.5427 data_time: 0.4315 memory: 3406 2022/07/25 00:51:14 - mmengine - INFO - Epoch(val) [96][180/310] eta: 0:01:41 time: 0.7799 data_time: 0.6658 memory: 3406 2022/07/25 00:51:25 - mmengine - INFO - Epoch(val) [96][200/310] eta: 0:01:00 time: 0.5531 data_time: 0.4408 memory: 3406 2022/07/25 00:51:40 - mmengine - INFO - Epoch(val) [96][220/310] eta: 0:01:08 time: 0.7607 data_time: 0.6472 memory: 3406 2022/07/25 00:51:52 - mmengine - INFO - Epoch(val) [96][240/310] eta: 0:00:39 time: 0.5600 data_time: 0.4455 memory: 3406 2022/07/25 00:52:07 - mmengine - INFO - Epoch(val) [96][260/310] eta: 0:00:38 time: 0.7722 data_time: 0.6590 memory: 3406 2022/07/25 00:52:17 - mmengine - INFO - Epoch(val) [96][280/310] eta: 0:00:15 time: 0.5205 data_time: 0.4090 memory: 3406 2022/07/25 00:52:33 - mmengine - INFO - Epoch(val) [96][300/310] eta: 0:00:07 time: 0.7617 data_time: 0.6395 memory: 3406 2022/07/25 00:52:37 - mmengine - INFO - Epoch(val) [96][310/310] acc/top1: 0.6902 acc/top5: 0.8781 acc/mean1: 0.6901 2022/07/25 00:52:55 - mmengine - INFO - Epoch(train) [97][20/3757] lr: 1.0000e-04 eta: 2:46:40 time: 0.9038 data_time: 0.5321 memory: 17350 grad_norm: 8.8915 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9508 loss: 0.9508 2022/07/25 00:53:07 - mmengine - INFO - Epoch(train) [97][40/3757] lr: 1.0000e-04 eta: 2:46:26 time: 0.5752 data_time: 0.2187 memory: 17350 grad_norm: 8.9392 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0420 loss: 1.0420 2022/07/25 00:53:22 - mmengine - INFO - Epoch(train) [97][60/3757] lr: 1.0000e-04 eta: 2:46:13 time: 0.7324 data_time: 0.3266 memory: 17350 grad_norm: 9.1893 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8211 loss: 0.8211 2022/07/25 00:53:34 - mmengine - INFO - Epoch(train) [97][80/3757] lr: 1.0000e-04 eta: 2:46:00 time: 0.6197 data_time: 0.2558 memory: 17350 grad_norm: 9.2384 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0097 loss: 1.0097 2022/07/25 00:53:48 - mmengine - INFO - Epoch(train) [97][100/3757] lr: 1.0000e-04 eta: 2:45:47 time: 0.7110 data_time: 0.2382 memory: 17350 grad_norm: 9.1958 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7280 loss: 0.7280 2022/07/25 00:54:01 - mmengine - INFO - Epoch(train) [97][120/3757] lr: 1.0000e-04 eta: 2:45:33 time: 0.6305 data_time: 0.1287 memory: 17350 grad_norm: 9.1222 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 0.9730 loss: 0.9730 2022/07/25 00:54:16 - mmengine - INFO - Epoch(train) [97][140/3757] lr: 1.0000e-04 eta: 2:45:20 time: 0.7492 data_time: 0.0647 memory: 17350 grad_norm: 9.1886 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8744 loss: 0.8744 2022/07/25 00:54:28 - mmengine - INFO - Epoch(train) [97][160/3757] lr: 1.0000e-04 eta: 2:45:07 time: 0.5858 data_time: 0.0230 memory: 17350 grad_norm: 8.9257 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1293 loss: 1.1293 2022/07/25 00:54:43 - mmengine - INFO - Epoch(train) [97][180/3757] lr: 1.0000e-04 eta: 2:44:53 time: 0.7535 data_time: 0.0225 memory: 17350 grad_norm: 8.9653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9023 loss: 0.9023 2022/07/25 00:54:54 - mmengine - INFO - Epoch(train) [97][200/3757] lr: 1.0000e-04 eta: 2:44:40 time: 0.5824 data_time: 0.0228 memory: 17350 grad_norm: 8.8467 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9055 loss: 0.9055 2022/07/25 00:55:09 - mmengine - INFO - Epoch(train) [97][220/3757] lr: 1.0000e-04 eta: 2:44:27 time: 0.7396 data_time: 0.0225 memory: 17350 grad_norm: 9.0370 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0631 loss: 1.0631 2022/07/25 00:55:21 - mmengine - INFO - Epoch(train) [97][240/3757] lr: 1.0000e-04 eta: 2:44:13 time: 0.5955 data_time: 0.0324 memory: 17350 grad_norm: 9.3491 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0655 loss: 1.0655 2022/07/25 00:55:37 - mmengine - INFO - Epoch(train) [97][260/3757] lr: 1.0000e-04 eta: 2:44:00 time: 0.7721 data_time: 0.0645 memory: 17350 grad_norm: 8.9415 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9075 loss: 0.9075 2022/07/25 00:55:49 - mmengine - INFO - Epoch(train) [97][280/3757] lr: 1.0000e-04 eta: 2:43:47 time: 0.6047 data_time: 0.0223 memory: 17350 grad_norm: 9.2236 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0077 loss: 1.0077 2022/07/25 00:56:03 - mmengine - INFO - Epoch(train) [97][300/3757] lr: 1.0000e-04 eta: 2:43:33 time: 0.7142 data_time: 0.0452 memory: 17350 grad_norm: 9.6507 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9000 loss: 0.9000 2022/07/25 00:56:15 - mmengine - INFO - Epoch(train) [97][320/3757] lr: 1.0000e-04 eta: 2:43:20 time: 0.5900 data_time: 0.0813 memory: 17350 grad_norm: 9.0172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9861 loss: 0.9861 2022/07/25 00:56:20 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 00:56:29 - mmengine - INFO - Epoch(train) [97][340/3757] lr: 1.0000e-04 eta: 2:43:07 time: 0.7187 data_time: 0.1704 memory: 17350 grad_norm: 9.4229 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8234 loss: 0.8234 2022/07/25 00:56:41 - mmengine - INFO - Epoch(train) [97][360/3757] lr: 1.0000e-04 eta: 2:42:53 time: 0.6089 data_time: 0.1424 memory: 17350 grad_norm: 8.8982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9782 loss: 0.9782 2022/07/25 00:56:56 - mmengine - INFO - Epoch(train) [97][380/3757] lr: 1.0000e-04 eta: 2:42:40 time: 0.7183 data_time: 0.2379 memory: 17350 grad_norm: 8.6505 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9478 loss: 0.9478 2022/07/25 00:57:08 - mmengine - INFO - Epoch(train) [97][400/3757] lr: 1.0000e-04 eta: 2:42:27 time: 0.6173 data_time: 0.2486 memory: 17350 grad_norm: 9.1894 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9537 loss: 0.9537 2022/07/25 00:57:23 - mmengine - INFO - Epoch(train) [97][420/3757] lr: 1.0000e-04 eta: 2:42:13 time: 0.7221 data_time: 0.3551 memory: 17350 grad_norm: 9.1618 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 0.9760 loss: 0.9760 2022/07/25 00:57:35 - mmengine - INFO - Epoch(train) [97][440/3757] lr: 1.0000e-04 eta: 2:42:00 time: 0.6220 data_time: 0.2759 memory: 17350 grad_norm: 8.9573 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0780 loss: 1.0780 2022/07/25 00:57:49 - mmengine - INFO - Epoch(train) [97][460/3757] lr: 1.0000e-04 eta: 2:41:47 time: 0.7120 data_time: 0.3349 memory: 17350 grad_norm: 9.0284 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0560 loss: 1.0560 2022/07/25 00:58:02 - mmengine - INFO - Epoch(train) [97][480/3757] lr: 1.0000e-04 eta: 2:41:33 time: 0.6239 data_time: 0.1911 memory: 17350 grad_norm: 9.2542 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1487 loss: 1.1487 2022/07/25 00:58:16 - mmengine - INFO - Epoch(train) [97][500/3757] lr: 1.0000e-04 eta: 2:41:20 time: 0.7065 data_time: 0.3590 memory: 17350 grad_norm: 9.1557 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 0.9399 loss: 0.9399 2022/07/25 00:58:28 - mmengine - INFO - Epoch(train) [97][520/3757] lr: 1.0000e-04 eta: 2:41:07 time: 0.6102 data_time: 0.2113 memory: 17350 grad_norm: 9.1187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0089 loss: 1.0089 2022/07/25 00:58:43 - mmengine - INFO - Epoch(train) [97][540/3757] lr: 1.0000e-04 eta: 2:40:53 time: 0.7140 data_time: 0.3746 memory: 17350 grad_norm: 9.4293 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0325 loss: 1.0325 2022/07/25 00:58:55 - mmengine - INFO - Epoch(train) [97][560/3757] lr: 1.0000e-04 eta: 2:40:40 time: 0.6012 data_time: 0.2579 memory: 17350 grad_norm: 9.4636 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8842 loss: 0.8842 2022/07/25 00:59:09 - mmengine - INFO - Epoch(train) [97][580/3757] lr: 1.0000e-04 eta: 2:40:27 time: 0.7134 data_time: 0.3709 memory: 17350 grad_norm: 9.1107 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0599 loss: 1.0599 2022/07/25 00:59:21 - mmengine - INFO - Epoch(train) [97][600/3757] lr: 1.0000e-04 eta: 2:40:13 time: 0.5895 data_time: 0.2299 memory: 17350 grad_norm: 8.6544 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9924 loss: 0.9924 2022/07/25 00:59:35 - mmengine - INFO - Epoch(train) [97][620/3757] lr: 1.0000e-04 eta: 2:40:00 time: 0.7311 data_time: 0.3669 memory: 17350 grad_norm: 9.2916 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9832 loss: 0.9832 2022/07/25 00:59:47 - mmengine - INFO - Epoch(train) [97][640/3757] lr: 1.0000e-04 eta: 2:39:47 time: 0.5984 data_time: 0.2588 memory: 17350 grad_norm: 9.1977 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0966 loss: 1.0966 2022/07/25 01:00:01 - mmengine - INFO - Epoch(train) [97][660/3757] lr: 1.0000e-04 eta: 2:39:33 time: 0.6867 data_time: 0.2711 memory: 17350 grad_norm: 8.9561 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1248 loss: 1.1248 2022/07/25 01:00:15 - mmengine - INFO - Epoch(train) [97][680/3757] lr: 1.0000e-04 eta: 2:39:20 time: 0.6718 data_time: 0.1342 memory: 17350 grad_norm: 8.9338 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0210 loss: 1.0210 2022/07/25 01:00:29 - mmengine - INFO - Epoch(train) [97][700/3757] lr: 1.0000e-04 eta: 2:39:07 time: 0.7170 data_time: 0.1679 memory: 17350 grad_norm: 9.6356 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2144 loss: 1.2144 2022/07/25 01:00:41 - mmengine - INFO - Epoch(train) [97][720/3757] lr: 1.0000e-04 eta: 2:38:53 time: 0.5918 data_time: 0.0987 memory: 17350 grad_norm: 8.6067 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8997 loss: 0.8997 2022/07/25 01:00:56 - mmengine - INFO - Epoch(train) [97][740/3757] lr: 1.0000e-04 eta: 2:38:40 time: 0.7408 data_time: 0.1808 memory: 17350 grad_norm: 9.4241 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0396 loss: 1.0396 2022/07/25 01:01:08 - mmengine - INFO - Epoch(train) [97][760/3757] lr: 1.0000e-04 eta: 2:38:27 time: 0.6270 data_time: 0.1677 memory: 17350 grad_norm: 9.1220 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0371 loss: 1.0371 2022/07/25 01:01:22 - mmengine - INFO - Epoch(train) [97][780/3757] lr: 1.0000e-04 eta: 2:38:13 time: 0.6996 data_time: 0.2131 memory: 17350 grad_norm: 8.9581 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0047 loss: 1.0047 2022/07/25 01:01:34 - mmengine - INFO - Epoch(train) [97][800/3757] lr: 1.0000e-04 eta: 2:38:00 time: 0.5989 data_time: 0.2267 memory: 17350 grad_norm: 8.9503 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1238 loss: 1.1238 2022/07/25 01:01:49 - mmengine - INFO - Epoch(train) [97][820/3757] lr: 1.0000e-04 eta: 2:37:47 time: 0.7534 data_time: 0.4064 memory: 17350 grad_norm: 8.9590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7309 loss: 0.7309 2022/07/25 01:02:01 - mmengine - INFO - Epoch(train) [97][840/3757] lr: 1.0000e-04 eta: 2:37:33 time: 0.5918 data_time: 0.2550 memory: 17350 grad_norm: 8.5828 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9017 loss: 0.9017 2022/07/25 01:02:16 - mmengine - INFO - Epoch(train) [97][860/3757] lr: 1.0000e-04 eta: 2:37:20 time: 0.7435 data_time: 0.3965 memory: 17350 grad_norm: 9.2511 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9081 loss: 0.9081 2022/07/25 01:02:28 - mmengine - INFO - Epoch(train) [97][880/3757] lr: 1.0000e-04 eta: 2:37:07 time: 0.5997 data_time: 0.2607 memory: 17350 grad_norm: 9.0397 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9328 loss: 0.9328 2022/07/25 01:02:42 - mmengine - INFO - Epoch(train) [97][900/3757] lr: 1.0000e-04 eta: 2:36:53 time: 0.7075 data_time: 0.3698 memory: 17350 grad_norm: 9.3137 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9950 loss: 0.9950 2022/07/25 01:02:54 - mmengine - INFO - Epoch(train) [97][920/3757] lr: 1.0000e-04 eta: 2:36:40 time: 0.5823 data_time: 0.2445 memory: 17350 grad_norm: 9.4272 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8998 loss: 0.8998 2022/07/25 01:03:09 - mmengine - INFO - Epoch(train) [97][940/3757] lr: 1.0000e-04 eta: 2:36:27 time: 0.7406 data_time: 0.4011 memory: 17350 grad_norm: 8.8740 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9561 loss: 0.9561 2022/07/25 01:03:21 - mmengine - INFO - Epoch(train) [97][960/3757] lr: 1.0000e-04 eta: 2:36:13 time: 0.5894 data_time: 0.2523 memory: 17350 grad_norm: 9.0451 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8026 loss: 0.8026 2022/07/25 01:03:35 - mmengine - INFO - Epoch(train) [97][980/3757] lr: 1.0000e-04 eta: 2:36:00 time: 0.7121 data_time: 0.2859 memory: 17350 grad_norm: 8.8471 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7875 loss: 0.7875 2022/07/25 01:03:47 - mmengine - INFO - Epoch(train) [97][1000/3757] lr: 1.0000e-04 eta: 2:35:47 time: 0.6042 data_time: 0.1767 memory: 17350 grad_norm: 8.8759 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7988 loss: 0.7988 2022/07/25 01:04:02 - mmengine - INFO - Epoch(train) [97][1020/3757] lr: 1.0000e-04 eta: 2:35:33 time: 0.7332 data_time: 0.2120 memory: 17350 grad_norm: 9.5183 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7474 loss: 0.7474 2022/07/25 01:04:14 - mmengine - INFO - Epoch(train) [97][1040/3757] lr: 1.0000e-04 eta: 2:35:20 time: 0.6261 data_time: 0.1396 memory: 17350 grad_norm: 9.0184 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1745 loss: 1.1745 2022/07/25 01:04:29 - mmengine - INFO - Epoch(train) [97][1060/3757] lr: 1.0000e-04 eta: 2:35:07 time: 0.7513 data_time: 0.1048 memory: 17350 grad_norm: 8.9013 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9541 loss: 0.9541 2022/07/25 01:04:41 - mmengine - INFO - Epoch(train) [97][1080/3757] lr: 1.0000e-04 eta: 2:34:53 time: 0.5735 data_time: 0.0336 memory: 17350 grad_norm: 9.1613 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7933 loss: 0.7933 2022/07/25 01:04:56 - mmengine - INFO - Epoch(train) [97][1100/3757] lr: 1.0000e-04 eta: 2:34:40 time: 0.7557 data_time: 0.0276 memory: 17350 grad_norm: 9.0841 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9106 loss: 0.9106 2022/07/25 01:05:08 - mmengine - INFO - Epoch(train) [97][1120/3757] lr: 1.0000e-04 eta: 2:34:27 time: 0.6305 data_time: 0.0242 memory: 17350 grad_norm: 8.8287 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9967 loss: 0.9967 2022/07/25 01:05:23 - mmengine - INFO - Epoch(train) [97][1140/3757] lr: 1.0000e-04 eta: 2:34:14 time: 0.7207 data_time: 0.0312 memory: 17350 grad_norm: 9.6621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2145 loss: 1.2145 2022/07/25 01:05:35 - mmengine - INFO - Epoch(train) [97][1160/3757] lr: 1.0000e-04 eta: 2:34:00 time: 0.6065 data_time: 0.0235 memory: 17350 grad_norm: 8.7502 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8899 loss: 0.8899 2022/07/25 01:05:49 - mmengine - INFO - Epoch(train) [97][1180/3757] lr: 1.0000e-04 eta: 2:33:47 time: 0.6976 data_time: 0.0279 memory: 17350 grad_norm: 9.1704 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8517 loss: 0.8517 2022/07/25 01:06:01 - mmengine - INFO - Epoch(train) [97][1200/3757] lr: 1.0000e-04 eta: 2:33:34 time: 0.6013 data_time: 0.0914 memory: 17350 grad_norm: 9.4847 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8455 loss: 0.8455 2022/07/25 01:06:16 - mmengine - INFO - Epoch(train) [97][1220/3757] lr: 1.0000e-04 eta: 2:33:20 time: 0.7543 data_time: 0.0663 memory: 17350 grad_norm: 8.7406 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0379 loss: 1.0379 2022/07/25 01:06:28 - mmengine - INFO - Epoch(train) [97][1240/3757] lr: 1.0000e-04 eta: 2:33:07 time: 0.6042 data_time: 0.0250 memory: 17350 grad_norm: 8.9239 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1379 loss: 1.1379 2022/07/25 01:06:43 - mmengine - INFO - Epoch(train) [97][1260/3757] lr: 1.0000e-04 eta: 2:32:54 time: 0.7285 data_time: 0.0211 memory: 17350 grad_norm: 9.0239 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0088 loss: 1.0088 2022/07/25 01:06:56 - mmengine - INFO - Epoch(train) [97][1280/3757] lr: 1.0000e-04 eta: 2:32:40 time: 0.6308 data_time: 0.0448 memory: 17350 grad_norm: 9.4288 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1796 loss: 1.1796 2022/07/25 01:07:09 - mmengine - INFO - Epoch(train) [97][1300/3757] lr: 1.0000e-04 eta: 2:32:27 time: 0.6810 data_time: 0.0297 memory: 17350 grad_norm: 9.2863 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0257 loss: 1.0257 2022/07/25 01:07:21 - mmengine - INFO - Epoch(train) [97][1320/3757] lr: 1.0000e-04 eta: 2:32:14 time: 0.5962 data_time: 0.0279 memory: 17350 grad_norm: 9.1268 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9817 loss: 0.9817 2022/07/25 01:07:26 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 01:07:35 - mmengine - INFO - Epoch(train) [97][1340/3757] lr: 1.0000e-04 eta: 2:32:00 time: 0.6938 data_time: 0.0978 memory: 17350 grad_norm: 9.0397 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6885 loss: 0.6885 2022/07/25 01:07:48 - mmengine - INFO - Epoch(train) [97][1360/3757] lr: 1.0000e-04 eta: 2:31:47 time: 0.6357 data_time: 0.1080 memory: 17350 grad_norm: 8.6972 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1514 loss: 1.1514 2022/07/25 01:08:01 - mmengine - INFO - Epoch(train) [97][1380/3757] lr: 1.0000e-04 eta: 2:31:34 time: 0.6843 data_time: 0.1836 memory: 17350 grad_norm: 9.0276 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9942 loss: 0.9942 2022/07/25 01:08:13 - mmengine - INFO - Epoch(train) [97][1400/3757] lr: 1.0000e-04 eta: 2:31:20 time: 0.6025 data_time: 0.1680 memory: 17350 grad_norm: 8.4318 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9393 loss: 0.9393 2022/07/25 01:08:28 - mmengine - INFO - Epoch(train) [97][1420/3757] lr: 1.0000e-04 eta: 2:31:07 time: 0.7157 data_time: 0.1916 memory: 17350 grad_norm: 9.0138 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8270 loss: 0.8270 2022/07/25 01:08:40 - mmengine - INFO - Epoch(train) [97][1440/3757] lr: 1.0000e-04 eta: 2:30:54 time: 0.6228 data_time: 0.0997 memory: 17350 grad_norm: 9.6217 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1375 loss: 1.1375 2022/07/25 01:08:55 - mmengine - INFO - Epoch(train) [97][1460/3757] lr: 1.0000e-04 eta: 2:30:40 time: 0.7209 data_time: 0.1082 memory: 17350 grad_norm: 9.0296 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0062 loss: 1.0062 2022/07/25 01:09:08 - mmengine - INFO - Epoch(train) [97][1480/3757] lr: 1.0000e-04 eta: 2:30:27 time: 0.6536 data_time: 0.0228 memory: 17350 grad_norm: 9.2363 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1699 loss: 1.1699 2022/07/25 01:09:22 - mmengine - INFO - Epoch(train) [97][1500/3757] lr: 1.0000e-04 eta: 2:30:14 time: 0.6866 data_time: 0.0217 memory: 17350 grad_norm: 9.1911 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0071 loss: 1.0071 2022/07/25 01:09:34 - mmengine - INFO - Epoch(train) [97][1520/3757] lr: 1.0000e-04 eta: 2:30:00 time: 0.6350 data_time: 0.0222 memory: 17350 grad_norm: 8.9607 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9334 loss: 0.9334 2022/07/25 01:09:48 - mmengine - INFO - Epoch(train) [97][1540/3757] lr: 1.0000e-04 eta: 2:29:47 time: 0.6740 data_time: 0.0232 memory: 17350 grad_norm: 9.0366 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9619 loss: 0.9619 2022/07/25 01:10:00 - mmengine - INFO - Epoch(train) [97][1560/3757] lr: 1.0000e-04 eta: 2:29:34 time: 0.6328 data_time: 0.0226 memory: 17350 grad_norm: 8.9780 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9943 loss: 0.9943 2022/07/25 01:10:15 - mmengine - INFO - Epoch(train) [97][1580/3757] lr: 1.0000e-04 eta: 2:29:20 time: 0.7408 data_time: 0.0237 memory: 17350 grad_norm: 8.9856 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9652 loss: 0.9652 2022/07/25 01:10:28 - mmengine - INFO - Epoch(train) [97][1600/3757] lr: 1.0000e-04 eta: 2:29:07 time: 0.6165 data_time: 0.0257 memory: 17350 grad_norm: 9.0468 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9020 loss: 0.9020 2022/07/25 01:10:42 - mmengine - INFO - Epoch(train) [97][1620/3757] lr: 1.0000e-04 eta: 2:28:54 time: 0.7109 data_time: 0.0213 memory: 17350 grad_norm: 9.5709 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9893 loss: 0.9893 2022/07/25 01:10:55 - mmengine - INFO - Epoch(train) [97][1640/3757] lr: 1.0000e-04 eta: 2:28:40 time: 0.6440 data_time: 0.0217 memory: 17350 grad_norm: 9.2358 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0401 loss: 1.0401 2022/07/25 01:11:09 - mmengine - INFO - Epoch(train) [97][1660/3757] lr: 1.0000e-04 eta: 2:28:27 time: 0.6990 data_time: 0.0818 memory: 17350 grad_norm: 9.3855 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8705 loss: 0.8705 2022/07/25 01:11:21 - mmengine - INFO - Epoch(train) [97][1680/3757] lr: 1.0000e-04 eta: 2:28:14 time: 0.5986 data_time: 0.0810 memory: 17350 grad_norm: 9.3110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1070 loss: 1.1070 2022/07/25 01:11:34 - mmengine - INFO - Epoch(train) [97][1700/3757] lr: 1.0000e-04 eta: 2:28:00 time: 0.6636 data_time: 0.2292 memory: 17350 grad_norm: 8.7140 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0035 loss: 1.0035 2022/07/25 01:11:47 - mmengine - INFO - Epoch(train) [97][1720/3757] lr: 1.0000e-04 eta: 2:27:47 time: 0.6417 data_time: 0.2789 memory: 17350 grad_norm: 9.1531 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9617 loss: 0.9617 2022/07/25 01:12:01 - mmengine - INFO - Epoch(train) [97][1740/3757] lr: 1.0000e-04 eta: 2:27:34 time: 0.7035 data_time: 0.3415 memory: 17350 grad_norm: 8.8347 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6918 loss: 0.6918 2022/07/25 01:12:14 - mmengine - INFO - Epoch(train) [97][1760/3757] lr: 1.0000e-04 eta: 2:27:20 time: 0.6680 data_time: 0.1611 memory: 17350 grad_norm: 9.5989 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9245 loss: 0.9245 2022/07/25 01:12:27 - mmengine - INFO - Epoch(train) [97][1780/3757] lr: 1.0000e-04 eta: 2:27:07 time: 0.6458 data_time: 0.2126 memory: 17350 grad_norm: 8.8463 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6388 loss: 0.6388 2022/07/25 01:12:40 - mmengine - INFO - Epoch(train) [97][1800/3757] lr: 1.0000e-04 eta: 2:26:54 time: 0.6534 data_time: 0.1622 memory: 17350 grad_norm: 8.9695 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7543 loss: 0.7543 2022/07/25 01:12:53 - mmengine - INFO - Epoch(train) [97][1820/3757] lr: 1.0000e-04 eta: 2:26:40 time: 0.6305 data_time: 0.1883 memory: 17350 grad_norm: 9.2841 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7373 loss: 0.7373 2022/07/25 01:13:07 - mmengine - INFO - Epoch(train) [97][1840/3757] lr: 1.0000e-04 eta: 2:26:27 time: 0.6970 data_time: 0.1923 memory: 17350 grad_norm: 9.0522 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9756 loss: 0.9756 2022/07/25 01:13:20 - mmengine - INFO - Epoch(train) [97][1860/3757] lr: 1.0000e-04 eta: 2:26:14 time: 0.6545 data_time: 0.0849 memory: 17350 grad_norm: 9.2167 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8104 loss: 0.8104 2022/07/25 01:13:35 - mmengine - INFO - Epoch(train) [97][1880/3757] lr: 1.0000e-04 eta: 2:26:00 time: 0.7386 data_time: 0.0731 memory: 17350 grad_norm: 9.0368 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9518 loss: 0.9518 2022/07/25 01:13:48 - mmengine - INFO - Epoch(train) [97][1900/3757] lr: 1.0000e-04 eta: 2:25:47 time: 0.6455 data_time: 0.0341 memory: 17350 grad_norm: 9.0967 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9062 loss: 0.9062 2022/07/25 01:14:01 - mmengine - INFO - Epoch(train) [97][1920/3757] lr: 1.0000e-04 eta: 2:25:34 time: 0.6579 data_time: 0.0230 memory: 17350 grad_norm: 8.8583 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1465 loss: 1.1465 2022/07/25 01:14:13 - mmengine - INFO - Epoch(train) [97][1940/3757] lr: 1.0000e-04 eta: 2:25:20 time: 0.6165 data_time: 0.1192 memory: 17350 grad_norm: 8.4086 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0402 loss: 1.0402 2022/07/25 01:14:27 - mmengine - INFO - Epoch(train) [97][1960/3757] lr: 1.0000e-04 eta: 2:25:07 time: 0.6602 data_time: 0.1273 memory: 17350 grad_norm: 8.9617 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9418 loss: 0.9418 2022/07/25 01:14:40 - mmengine - INFO - Epoch(train) [97][1980/3757] lr: 1.0000e-04 eta: 2:24:54 time: 0.6762 data_time: 0.2487 memory: 17350 grad_norm: 9.3028 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.7981 loss: 0.7981 2022/07/25 01:14:53 - mmengine - INFO - Epoch(train) [97][2000/3757] lr: 1.0000e-04 eta: 2:24:40 time: 0.6433 data_time: 0.1847 memory: 17350 grad_norm: 8.9795 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9649 loss: 0.9649 2022/07/25 01:15:08 - mmengine - INFO - Epoch(train) [97][2020/3757] lr: 1.0000e-04 eta: 2:24:27 time: 0.7364 data_time: 0.3168 memory: 17350 grad_norm: 9.1710 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0419 loss: 1.0419 2022/07/25 01:15:20 - mmengine - INFO - Epoch(train) [97][2040/3757] lr: 1.0000e-04 eta: 2:24:14 time: 0.6077 data_time: 0.2069 memory: 17350 grad_norm: 8.7685 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0889 loss: 1.0889 2022/07/25 01:15:34 - mmengine - INFO - Epoch(train) [97][2060/3757] lr: 1.0000e-04 eta: 2:24:00 time: 0.6938 data_time: 0.1944 memory: 17350 grad_norm: 9.0396 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0641 loss: 1.0641 2022/07/25 01:15:46 - mmengine - INFO - Epoch(train) [97][2080/3757] lr: 1.0000e-04 eta: 2:23:47 time: 0.6200 data_time: 0.0474 memory: 17350 grad_norm: 8.8428 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9620 loss: 0.9620 2022/07/25 01:16:00 - mmengine - INFO - Epoch(train) [97][2100/3757] lr: 1.0000e-04 eta: 2:23:34 time: 0.6818 data_time: 0.1221 memory: 17350 grad_norm: 9.5402 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0078 loss: 1.0078 2022/07/25 01:16:12 - mmengine - INFO - Epoch(train) [97][2120/3757] lr: 1.0000e-04 eta: 2:23:20 time: 0.6176 data_time: 0.0941 memory: 17350 grad_norm: 9.0263 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9801 loss: 0.9801 2022/07/25 01:16:26 - mmengine - INFO - Epoch(train) [97][2140/3757] lr: 1.0000e-04 eta: 2:23:07 time: 0.7001 data_time: 0.0568 memory: 17350 grad_norm: 8.8147 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9463 loss: 0.9463 2022/07/25 01:16:39 - mmengine - INFO - Epoch(train) [97][2160/3757] lr: 1.0000e-04 eta: 2:22:54 time: 0.6451 data_time: 0.0255 memory: 17350 grad_norm: 9.1402 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7679 loss: 0.7679 2022/07/25 01:16:54 - mmengine - INFO - Epoch(train) [97][2180/3757] lr: 1.0000e-04 eta: 2:22:40 time: 0.7402 data_time: 0.0229 memory: 17350 grad_norm: 8.9620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9958 loss: 0.9958 2022/07/25 01:17:06 - mmengine - INFO - Epoch(train) [97][2200/3757] lr: 1.0000e-04 eta: 2:22:27 time: 0.6061 data_time: 0.0227 memory: 17350 grad_norm: 9.2883 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1544 loss: 1.1544 2022/07/25 01:17:20 - mmengine - INFO - Epoch(train) [97][2220/3757] lr: 1.0000e-04 eta: 2:22:14 time: 0.6974 data_time: 0.0242 memory: 17350 grad_norm: 8.6148 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0154 loss: 1.0154 2022/07/25 01:17:32 - mmengine - INFO - Epoch(train) [97][2240/3757] lr: 1.0000e-04 eta: 2:22:00 time: 0.6108 data_time: 0.0216 memory: 17350 grad_norm: 9.5670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8071 loss: 0.8071 2022/07/25 01:17:46 - mmengine - INFO - Epoch(train) [97][2260/3757] lr: 1.0000e-04 eta: 2:21:47 time: 0.7000 data_time: 0.0231 memory: 17350 grad_norm: 9.5258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7913 loss: 0.7913 2022/07/25 01:18:00 - mmengine - INFO - Epoch(train) [97][2280/3757] lr: 1.0000e-04 eta: 2:21:34 time: 0.6790 data_time: 0.0233 memory: 17350 grad_norm: 9.2317 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8996 loss: 0.8996 2022/07/25 01:18:12 - mmengine - INFO - Epoch(train) [97][2300/3757] lr: 1.0000e-04 eta: 2:21:20 time: 0.5902 data_time: 0.0245 memory: 17350 grad_norm: 9.1553 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3021 loss: 1.3021 2022/07/25 01:18:26 - mmengine - INFO - Epoch(train) [97][2320/3757] lr: 1.0000e-04 eta: 2:21:07 time: 0.7031 data_time: 0.0234 memory: 17350 grad_norm: 9.2515 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0410 loss: 1.0410 2022/07/25 01:18:31 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 01:18:38 - mmengine - INFO - Epoch(train) [97][2340/3757] lr: 1.0000e-04 eta: 2:20:54 time: 0.6178 data_time: 0.0237 memory: 17350 grad_norm: 8.8893 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0296 loss: 1.0296 2022/07/25 01:18:52 - mmengine - INFO - Epoch(train) [97][2360/3757] lr: 1.0000e-04 eta: 2:20:40 time: 0.6787 data_time: 0.0214 memory: 17350 grad_norm: 9.1243 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8790 loss: 0.8790 2022/07/25 01:19:05 - mmengine - INFO - Epoch(train) [97][2380/3757] lr: 1.0000e-04 eta: 2:20:27 time: 0.6644 data_time: 0.0605 memory: 17350 grad_norm: 8.8984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9707 loss: 0.9707 2022/07/25 01:19:19 - mmengine - INFO - Epoch(train) [97][2400/3757] lr: 1.0000e-04 eta: 2:20:14 time: 0.6654 data_time: 0.0955 memory: 17350 grad_norm: 9.1192 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2160 loss: 1.2160 2022/07/25 01:19:32 - mmengine - INFO - Epoch(train) [97][2420/3757] lr: 1.0000e-04 eta: 2:20:00 time: 0.6583 data_time: 0.1196 memory: 17350 grad_norm: 9.1101 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0948 loss: 1.0948 2022/07/25 01:19:45 - mmengine - INFO - Epoch(train) [97][2440/3757] lr: 1.0000e-04 eta: 2:19:47 time: 0.6702 data_time: 0.1156 memory: 17350 grad_norm: 9.2395 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1140 loss: 1.1140 2022/07/25 01:19:58 - mmengine - INFO - Epoch(train) [97][2460/3757] lr: 1.0000e-04 eta: 2:19:34 time: 0.6492 data_time: 0.0812 memory: 17350 grad_norm: 9.1919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0596 loss: 1.0596 2022/07/25 01:20:13 - mmengine - INFO - Epoch(train) [97][2480/3757] lr: 1.0000e-04 eta: 2:19:21 time: 0.7386 data_time: 0.0684 memory: 17350 grad_norm: 9.3105 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9844 loss: 0.9844 2022/07/25 01:20:26 - mmengine - INFO - Epoch(train) [97][2500/3757] lr: 1.0000e-04 eta: 2:19:07 time: 0.6254 data_time: 0.0222 memory: 17350 grad_norm: 9.1954 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9555 loss: 0.9555 2022/07/25 01:20:40 - mmengine - INFO - Epoch(train) [97][2520/3757] lr: 1.0000e-04 eta: 2:18:54 time: 0.7293 data_time: 0.0226 memory: 17350 grad_norm: 9.1836 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2180 loss: 1.2180 2022/07/25 01:20:52 - mmengine - INFO - Epoch(train) [97][2540/3757] lr: 1.0000e-04 eta: 2:18:41 time: 0.5844 data_time: 0.0236 memory: 17350 grad_norm: 9.6121 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8193 loss: 0.8193 2022/07/25 01:21:06 - mmengine - INFO - Epoch(train) [97][2560/3757] lr: 1.0000e-04 eta: 2:18:27 time: 0.7105 data_time: 0.0333 memory: 17350 grad_norm: 9.4834 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9825 loss: 0.9825 2022/07/25 01:21:19 - mmengine - INFO - Epoch(train) [97][2580/3757] lr: 1.0000e-04 eta: 2:18:14 time: 0.6349 data_time: 0.0300 memory: 17350 grad_norm: 9.4111 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0253 loss: 1.0253 2022/07/25 01:21:33 - mmengine - INFO - Epoch(train) [97][2600/3757] lr: 1.0000e-04 eta: 2:18:01 time: 0.7080 data_time: 0.0654 memory: 17350 grad_norm: 8.8710 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8778 loss: 0.8778 2022/07/25 01:21:45 - mmengine - INFO - Epoch(train) [97][2620/3757] lr: 1.0000e-04 eta: 2:17:47 time: 0.6188 data_time: 0.0255 memory: 17350 grad_norm: 9.2004 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9947 loss: 0.9947 2022/07/25 01:21:59 - mmengine - INFO - Epoch(train) [97][2640/3757] lr: 1.0000e-04 eta: 2:17:34 time: 0.6910 data_time: 0.0227 memory: 17350 grad_norm: 9.2262 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7561 loss: 0.7561 2022/07/25 01:22:12 - mmengine - INFO - Epoch(train) [97][2660/3757] lr: 1.0000e-04 eta: 2:17:21 time: 0.6529 data_time: 0.0338 memory: 17350 grad_norm: 8.9186 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9553 loss: 0.9553 2022/07/25 01:22:25 - mmengine - INFO - Epoch(train) [97][2680/3757] lr: 1.0000e-04 eta: 2:17:07 time: 0.6479 data_time: 0.0634 memory: 17350 grad_norm: 9.0935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0279 loss: 1.0279 2022/07/25 01:22:39 - mmengine - INFO - Epoch(train) [97][2700/3757] lr: 1.0000e-04 eta: 2:16:54 time: 0.6677 data_time: 0.0409 memory: 17350 grad_norm: 9.2712 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9714 loss: 0.9714 2022/07/25 01:22:51 - mmengine - INFO - Epoch(train) [97][2720/3757] lr: 1.0000e-04 eta: 2:16:41 time: 0.6200 data_time: 0.0405 memory: 17350 grad_norm: 8.9224 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8776 loss: 0.8776 2022/07/25 01:23:04 - mmengine - INFO - Epoch(train) [97][2740/3757] lr: 1.0000e-04 eta: 2:16:27 time: 0.6580 data_time: 0.1046 memory: 17350 grad_norm: 8.9908 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8238 loss: 0.8238 2022/07/25 01:23:17 - mmengine - INFO - Epoch(train) [97][2760/3757] lr: 1.0000e-04 eta: 2:16:14 time: 0.6558 data_time: 0.0419 memory: 17350 grad_norm: 9.1540 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9610 loss: 0.9610 2022/07/25 01:23:31 - mmengine - INFO - Epoch(train) [97][2780/3757] lr: 1.0000e-04 eta: 2:16:01 time: 0.6650 data_time: 0.0426 memory: 17350 grad_norm: 9.2086 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9748 loss: 0.9748 2022/07/25 01:23:43 - mmengine - INFO - Epoch(train) [97][2800/3757] lr: 1.0000e-04 eta: 2:15:47 time: 0.6287 data_time: 0.0218 memory: 17350 grad_norm: 9.3232 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6535 loss: 0.6535 2022/07/25 01:23:57 - mmengine - INFO - Epoch(train) [97][2820/3757] lr: 1.0000e-04 eta: 2:15:34 time: 0.6872 data_time: 0.0250 memory: 17350 grad_norm: 9.5836 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9731 loss: 0.9731 2022/07/25 01:24:10 - mmengine - INFO - Epoch(train) [97][2840/3757] lr: 1.0000e-04 eta: 2:15:21 time: 0.6265 data_time: 0.0388 memory: 17350 grad_norm: 8.7983 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0429 loss: 1.0429 2022/07/25 01:24:24 - mmengine - INFO - Epoch(train) [97][2860/3757] lr: 1.0000e-04 eta: 2:15:07 time: 0.7031 data_time: 0.1252 memory: 17350 grad_norm: 9.0159 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0631 loss: 1.0631 2022/07/25 01:24:36 - mmengine - INFO - Epoch(train) [97][2880/3757] lr: 1.0000e-04 eta: 2:14:54 time: 0.6069 data_time: 0.2004 memory: 17350 grad_norm: 8.7374 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8818 loss: 0.8818 2022/07/25 01:24:50 - mmengine - INFO - Epoch(train) [97][2900/3757] lr: 1.0000e-04 eta: 2:14:41 time: 0.7082 data_time: 0.2781 memory: 17350 grad_norm: 9.2303 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9468 loss: 0.9468 2022/07/25 01:25:03 - mmengine - INFO - Epoch(train) [97][2920/3757] lr: 1.0000e-04 eta: 2:14:27 time: 0.6454 data_time: 0.1395 memory: 17350 grad_norm: 9.0861 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9806 loss: 0.9806 2022/07/25 01:25:17 - mmengine - INFO - Epoch(train) [97][2940/3757] lr: 1.0000e-04 eta: 2:14:14 time: 0.6922 data_time: 0.1263 memory: 17350 grad_norm: 8.9252 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0010 loss: 1.0010 2022/07/25 01:25:29 - mmengine - INFO - Epoch(train) [97][2960/3757] lr: 1.0000e-04 eta: 2:14:01 time: 0.6118 data_time: 0.0260 memory: 17350 grad_norm: 9.3157 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0545 loss: 1.0545 2022/07/25 01:25:44 - mmengine - INFO - Epoch(train) [97][2980/3757] lr: 1.0000e-04 eta: 2:13:47 time: 0.7412 data_time: 0.0387 memory: 17350 grad_norm: 9.1703 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7754 loss: 0.7754 2022/07/25 01:25:56 - mmengine - INFO - Epoch(train) [97][3000/3757] lr: 1.0000e-04 eta: 2:13:34 time: 0.6073 data_time: 0.0646 memory: 17350 grad_norm: 9.0423 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8069 loss: 0.8069 2022/07/25 01:26:10 - mmengine - INFO - Epoch(train) [97][3020/3757] lr: 1.0000e-04 eta: 2:13:21 time: 0.6995 data_time: 0.1536 memory: 17350 grad_norm: 9.7279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9572 loss: 0.9572 2022/07/25 01:26:23 - mmengine - INFO - Epoch(train) [97][3040/3757] lr: 1.0000e-04 eta: 2:13:07 time: 0.6592 data_time: 0.0805 memory: 17350 grad_norm: 8.9450 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9616 loss: 0.9616 2022/07/25 01:26:36 - mmengine - INFO - Epoch(train) [97][3060/3757] lr: 1.0000e-04 eta: 2:12:54 time: 0.6558 data_time: 0.1104 memory: 17350 grad_norm: 8.7609 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.7011 loss: 0.7011 2022/07/25 01:26:50 - mmengine - INFO - Epoch(train) [97][3080/3757] lr: 1.0000e-04 eta: 2:12:41 time: 0.6818 data_time: 0.0904 memory: 17350 grad_norm: 9.4389 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0555 loss: 1.0555 2022/07/25 01:27:03 - mmengine - INFO - Epoch(train) [97][3100/3757] lr: 1.0000e-04 eta: 2:12:27 time: 0.6510 data_time: 0.1525 memory: 17350 grad_norm: 9.5771 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0165 loss: 1.0165 2022/07/25 01:27:16 - mmengine - INFO - Epoch(train) [97][3120/3757] lr: 1.0000e-04 eta: 2:12:14 time: 0.6501 data_time: 0.1102 memory: 17350 grad_norm: 9.4126 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8108 loss: 0.8108 2022/07/25 01:27:30 - mmengine - INFO - Epoch(train) [97][3140/3757] lr: 1.0000e-04 eta: 2:12:01 time: 0.6788 data_time: 0.1443 memory: 17350 grad_norm: 9.3642 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7281 loss: 0.7281 2022/07/25 01:27:42 - mmengine - INFO - Epoch(train) [97][3160/3757] lr: 1.0000e-04 eta: 2:11:47 time: 0.6281 data_time: 0.1869 memory: 17350 grad_norm: 8.8591 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0959 loss: 1.0959 2022/07/25 01:27:56 - mmengine - INFO - Epoch(train) [97][3180/3757] lr: 1.0000e-04 eta: 2:11:34 time: 0.6973 data_time: 0.2211 memory: 17350 grad_norm: 8.7771 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2337 loss: 1.2337 2022/07/25 01:28:10 - mmengine - INFO - Epoch(train) [97][3200/3757] lr: 1.0000e-04 eta: 2:11:21 time: 0.6994 data_time: 0.1095 memory: 17350 grad_norm: 9.2352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0869 loss: 1.0869 2022/07/25 01:28:23 - mmengine - INFO - Epoch(train) [97][3220/3757] lr: 1.0000e-04 eta: 2:11:07 time: 0.6450 data_time: 0.2015 memory: 17350 grad_norm: 9.0216 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0693 loss: 1.0693 2022/07/25 01:28:37 - mmengine - INFO - Epoch(train) [97][3240/3757] lr: 1.0000e-04 eta: 2:10:54 time: 0.6937 data_time: 0.1254 memory: 17350 grad_norm: 9.3117 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0118 loss: 1.0118 2022/07/25 01:28:50 - mmengine - INFO - Epoch(train) [97][3260/3757] lr: 1.0000e-04 eta: 2:10:41 time: 0.6621 data_time: 0.2629 memory: 17350 grad_norm: 9.0182 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9575 loss: 0.9575 2022/07/25 01:29:03 - mmengine - INFO - Epoch(train) [97][3280/3757] lr: 1.0000e-04 eta: 2:10:27 time: 0.6389 data_time: 0.1367 memory: 17350 grad_norm: 9.2885 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0322 loss: 1.0322 2022/07/25 01:29:16 - mmengine - INFO - Epoch(train) [97][3300/3757] lr: 1.0000e-04 eta: 2:10:14 time: 0.6343 data_time: 0.1255 memory: 17350 grad_norm: 9.3764 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0693 loss: 1.0693 2022/07/25 01:29:30 - mmengine - INFO - Epoch(train) [97][3320/3757] lr: 1.0000e-04 eta: 2:10:01 time: 0.7174 data_time: 0.0417 memory: 17350 grad_norm: 9.1486 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3769 loss: 1.3769 2022/07/25 01:29:35 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 01:29:42 - mmengine - INFO - Epoch(train) [97][3340/3757] lr: 1.0000e-04 eta: 2:09:47 time: 0.5841 data_time: 0.0249 memory: 17350 grad_norm: 8.9040 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7979 loss: 0.7979 2022/07/25 01:29:57 - mmengine - INFO - Epoch(train) [97][3360/3757] lr: 1.0000e-04 eta: 2:09:34 time: 0.7354 data_time: 0.0276 memory: 17350 grad_norm: 9.2119 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8490 loss: 0.8490 2022/07/25 01:30:10 - mmengine - INFO - Epoch(train) [97][3380/3757] lr: 1.0000e-04 eta: 2:09:21 time: 0.6485 data_time: 0.0243 memory: 17350 grad_norm: 9.0523 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0118 loss: 1.0118 2022/07/25 01:30:24 - mmengine - INFO - Epoch(train) [97][3400/3757] lr: 1.0000e-04 eta: 2:09:07 time: 0.6946 data_time: 0.0223 memory: 17350 grad_norm: 9.4669 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2516 loss: 1.2516 2022/07/25 01:30:36 - mmengine - INFO - Epoch(train) [97][3420/3757] lr: 1.0000e-04 eta: 2:08:54 time: 0.6015 data_time: 0.0244 memory: 17350 grad_norm: 9.0144 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0608 loss: 1.0608 2022/07/25 01:30:50 - mmengine - INFO - Epoch(train) [97][3440/3757] lr: 1.0000e-04 eta: 2:08:41 time: 0.7071 data_time: 0.0211 memory: 17350 grad_norm: 9.4851 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1060 loss: 1.1060 2022/07/25 01:31:02 - mmengine - INFO - Epoch(train) [97][3460/3757] lr: 1.0000e-04 eta: 2:08:27 time: 0.5913 data_time: 0.0238 memory: 17350 grad_norm: 8.9438 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8650 loss: 0.8650 2022/07/25 01:31:17 - mmengine - INFO - Epoch(train) [97][3480/3757] lr: 1.0000e-04 eta: 2:08:14 time: 0.7409 data_time: 0.0226 memory: 17350 grad_norm: 9.0063 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8830 loss: 0.8830 2022/07/25 01:31:30 - mmengine - INFO - Epoch(train) [97][3500/3757] lr: 1.0000e-04 eta: 2:08:01 time: 0.6532 data_time: 0.0235 memory: 17350 grad_norm: 8.9811 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1338 loss: 1.1338 2022/07/25 01:31:43 - mmengine - INFO - Epoch(train) [97][3520/3757] lr: 1.0000e-04 eta: 2:07:47 time: 0.6808 data_time: 0.0245 memory: 17350 grad_norm: 9.1463 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7562 loss: 0.7562 2022/07/25 01:31:56 - mmengine - INFO - Epoch(train) [97][3540/3757] lr: 1.0000e-04 eta: 2:07:34 time: 0.6297 data_time: 0.0243 memory: 17350 grad_norm: 8.8346 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0525 loss: 1.0525 2022/07/25 01:32:10 - mmengine - INFO - Epoch(train) [97][3560/3757] lr: 1.0000e-04 eta: 2:07:21 time: 0.7282 data_time: 0.0236 memory: 17350 grad_norm: 9.1917 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0275 loss: 1.0275 2022/07/25 01:32:23 - mmengine - INFO - Epoch(train) [97][3580/3757] lr: 1.0000e-04 eta: 2:07:07 time: 0.6083 data_time: 0.0249 memory: 17350 grad_norm: 8.9555 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8407 loss: 0.8407 2022/07/25 01:32:37 - mmengine - INFO - Epoch(train) [97][3600/3757] lr: 1.0000e-04 eta: 2:06:54 time: 0.7211 data_time: 0.0219 memory: 17350 grad_norm: 9.3672 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1338 loss: 1.1338 2022/07/25 01:32:50 - mmengine - INFO - Epoch(train) [97][3620/3757] lr: 1.0000e-04 eta: 2:06:41 time: 0.6379 data_time: 0.0241 memory: 17350 grad_norm: 9.0449 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8611 loss: 0.8611 2022/07/25 01:33:04 - mmengine - INFO - Epoch(train) [97][3640/3757] lr: 1.0000e-04 eta: 2:06:27 time: 0.7145 data_time: 0.0220 memory: 17350 grad_norm: 8.9365 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0865 loss: 1.0865 2022/07/25 01:33:17 - mmengine - INFO - Epoch(train) [97][3660/3757] lr: 1.0000e-04 eta: 2:06:14 time: 0.6230 data_time: 0.0236 memory: 17350 grad_norm: 8.9550 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9194 loss: 0.9194 2022/07/25 01:33:30 - mmengine - INFO - Epoch(train) [97][3680/3757] lr: 1.0000e-04 eta: 2:06:01 time: 0.6847 data_time: 0.0219 memory: 17350 grad_norm: 9.1584 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0083 loss: 1.0083 2022/07/25 01:33:42 - mmengine - INFO - Epoch(train) [97][3700/3757] lr: 1.0000e-04 eta: 2:05:47 time: 0.5788 data_time: 0.0240 memory: 17350 grad_norm: 9.3004 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1634 loss: 1.1634 2022/07/25 01:33:57 - mmengine - INFO - Epoch(train) [97][3720/3757] lr: 1.0000e-04 eta: 2:05:34 time: 0.7364 data_time: 0.0241 memory: 17350 grad_norm: 9.6704 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3106 loss: 1.3106 2022/07/25 01:34:09 - mmengine - INFO - Epoch(train) [97][3740/3757] lr: 1.0000e-04 eta: 2:05:21 time: 0.6049 data_time: 0.0237 memory: 17350 grad_norm: 9.1191 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0682 loss: 1.0682 2022/07/25 01:34:17 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 01:34:17 - mmengine - INFO - Epoch(train) [97][3757/3757] lr: 1.0000e-04 eta: 2:05:21 time: 0.4810 data_time: 0.0171 memory: 17350 grad_norm: 9.1964 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0426 loss: 1.0426 2022/07/25 01:34:34 - mmengine - INFO - Epoch(val) [97][20/310] eta: 0:04:03 time: 0.8383 data_time: 0.7248 memory: 3406 2022/07/25 01:34:45 - mmengine - INFO - Epoch(val) [97][40/310] eta: 0:02:24 time: 0.5343 data_time: 0.4213 memory: 3406 2022/07/25 01:35:01 - mmengine - INFO - Epoch(val) [97][60/310] eta: 0:03:16 time: 0.7846 data_time: 0.6719 memory: 3406 2022/07/25 01:35:13 - mmengine - INFO - Epoch(val) [97][80/310] eta: 0:02:17 time: 0.5957 data_time: 0.4819 memory: 3406 2022/07/25 01:35:27 - mmengine - INFO - Epoch(val) [97][100/310] eta: 0:02:35 time: 0.7427 data_time: 0.6298 memory: 3406 2022/07/25 01:35:39 - mmengine - INFO - Epoch(val) [97][120/310] eta: 0:01:49 time: 0.5751 data_time: 0.4625 memory: 3406 2022/07/25 01:35:55 - mmengine - INFO - Epoch(val) [97][140/310] eta: 0:02:14 time: 0.7884 data_time: 0.6743 memory: 3406 2022/07/25 01:36:05 - mmengine - INFO - Epoch(val) [97][160/310] eta: 0:01:17 time: 0.5177 data_time: 0.4051 memory: 3406 2022/07/25 01:36:21 - mmengine - INFO - Epoch(val) [97][180/310] eta: 0:01:41 time: 0.7820 data_time: 0.6674 memory: 3406 2022/07/25 01:36:32 - mmengine - INFO - Epoch(val) [97][200/310] eta: 0:00:59 time: 0.5429 data_time: 0.4298 memory: 3406 2022/07/25 01:36:46 - mmengine - INFO - Epoch(val) [97][220/310] eta: 0:01:06 time: 0.7354 data_time: 0.6189 memory: 3406 2022/07/25 01:36:58 - mmengine - INFO - Epoch(val) [97][240/310] eta: 0:00:41 time: 0.5980 data_time: 0.4771 memory: 3406 2022/07/25 01:37:14 - mmengine - INFO - Epoch(val) [97][260/310] eta: 0:00:38 time: 0.7662 data_time: 0.6519 memory: 3406 2022/07/25 01:37:25 - mmengine - INFO - Epoch(val) [97][280/310] eta: 0:00:17 time: 0.5743 data_time: 0.4613 memory: 3406 2022/07/25 01:37:39 - mmengine - INFO - Epoch(val) [97][300/310] eta: 0:00:07 time: 0.7234 data_time: 0.6095 memory: 3406 2022/07/25 01:37:43 - mmengine - INFO - Epoch(val) [97][310/310] acc/top1: 0.6903 acc/top5: 0.8794 acc/mean1: 0.6902 2022/07/25 01:38:01 - mmengine - INFO - Epoch(train) [98][20/3757] lr: 1.0000e-04 eta: 2:04:56 time: 0.8950 data_time: 0.5350 memory: 17350 grad_norm: 9.6415 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0514 loss: 1.0514 2022/07/25 01:38:13 - mmengine - INFO - Epoch(train) [98][40/3757] lr: 1.0000e-04 eta: 2:04:43 time: 0.5949 data_time: 0.2569 memory: 17350 grad_norm: 9.0223 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9084 loss: 0.9084 2022/07/25 01:38:28 - mmengine - INFO - Epoch(train) [98][60/3757] lr: 1.0000e-04 eta: 2:04:29 time: 0.7484 data_time: 0.4061 memory: 17350 grad_norm: 9.1987 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9054 loss: 0.9054 2022/07/25 01:38:40 - mmengine - INFO - Epoch(train) [98][80/3757] lr: 1.0000e-04 eta: 2:04:16 time: 0.5999 data_time: 0.2548 memory: 17350 grad_norm: 9.0218 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0018 loss: 1.0018 2022/07/25 01:38:55 - mmengine - INFO - Epoch(train) [98][100/3757] lr: 1.0000e-04 eta: 2:04:03 time: 0.7454 data_time: 0.3517 memory: 17350 grad_norm: 9.1638 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7588 loss: 0.7588 2022/07/25 01:39:07 - mmengine - INFO - Epoch(train) [98][120/3757] lr: 1.0000e-04 eta: 2:03:49 time: 0.6152 data_time: 0.1711 memory: 17350 grad_norm: 9.5719 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8217 loss: 0.8217 2022/07/25 01:39:22 - mmengine - INFO - Epoch(train) [98][140/3757] lr: 1.0000e-04 eta: 2:03:36 time: 0.7196 data_time: 0.1978 memory: 17350 grad_norm: 8.8971 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9940 loss: 0.9940 2022/07/25 01:39:33 - mmengine - INFO - Epoch(train) [98][160/3757] lr: 1.0000e-04 eta: 2:03:23 time: 0.5797 data_time: 0.1210 memory: 17350 grad_norm: 9.2294 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9966 loss: 0.9966 2022/07/25 01:39:48 - mmengine - INFO - Epoch(train) [98][180/3757] lr: 1.0000e-04 eta: 2:03:09 time: 0.7418 data_time: 0.1196 memory: 17350 grad_norm: 9.6420 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9842 loss: 0.9842 2022/07/25 01:40:01 - mmengine - INFO - Epoch(train) [98][200/3757] lr: 1.0000e-04 eta: 2:02:56 time: 0.6287 data_time: 0.0322 memory: 17350 grad_norm: 9.0692 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0613 loss: 1.0613 2022/07/25 01:40:16 - mmengine - INFO - Epoch(train) [98][220/3757] lr: 1.0000e-04 eta: 2:02:43 time: 0.7432 data_time: 0.0266 memory: 17350 grad_norm: 9.1288 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7262 loss: 0.7262 2022/07/25 01:40:29 - mmengine - INFO - Epoch(train) [98][240/3757] lr: 1.0000e-04 eta: 2:02:29 time: 0.6578 data_time: 0.0252 memory: 17350 grad_norm: 9.0851 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2026 loss: 1.2026 2022/07/25 01:40:43 - mmengine - INFO - Epoch(train) [98][260/3757] lr: 1.0000e-04 eta: 2:02:16 time: 0.6806 data_time: 0.0250 memory: 17350 grad_norm: 9.1661 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0079 loss: 1.0079 2022/07/25 01:40:54 - mmengine - INFO - Epoch(train) [98][280/3757] lr: 1.0000e-04 eta: 2:02:03 time: 0.5804 data_time: 0.0297 memory: 17350 grad_norm: 8.9744 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8930 loss: 0.8930 2022/07/25 01:41:08 - mmengine - INFO - Epoch(train) [98][300/3757] lr: 1.0000e-04 eta: 2:01:49 time: 0.7057 data_time: 0.1305 memory: 17350 grad_norm: 9.0703 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1118 loss: 1.1118 2022/07/25 01:41:21 - mmengine - INFO - Epoch(train) [98][320/3757] lr: 1.0000e-04 eta: 2:01:36 time: 0.6496 data_time: 0.0470 memory: 17350 grad_norm: 8.6485 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8759 loss: 0.8759 2022/07/25 01:41:36 - mmengine - INFO - Epoch(train) [98][340/3757] lr: 1.0000e-04 eta: 2:01:23 time: 0.7359 data_time: 0.0255 memory: 17350 grad_norm: 8.4645 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7925 loss: 0.7925 2022/07/25 01:41:48 - mmengine - INFO - Epoch(train) [98][360/3757] lr: 1.0000e-04 eta: 2:01:09 time: 0.5795 data_time: 0.0250 memory: 17350 grad_norm: 9.1608 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1249 loss: 1.1249 2022/07/25 01:42:03 - mmengine - INFO - Epoch(train) [98][380/3757] lr: 1.0000e-04 eta: 2:00:56 time: 0.7469 data_time: 0.0229 memory: 17350 grad_norm: 9.3886 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9548 loss: 0.9548 2022/07/25 01:42:15 - mmengine - INFO - Epoch(train) [98][400/3757] lr: 1.0000e-04 eta: 2:00:43 time: 0.5938 data_time: 0.0242 memory: 17350 grad_norm: 9.5615 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8014 loss: 0.8014 2022/07/25 01:42:29 - mmengine - INFO - Epoch(train) [98][420/3757] lr: 1.0000e-04 eta: 2:00:29 time: 0.7051 data_time: 0.0230 memory: 17350 grad_norm: 9.0037 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1224 loss: 1.1224 2022/07/25 01:42:41 - mmengine - INFO - Epoch(train) [98][440/3757] lr: 1.0000e-04 eta: 2:00:16 time: 0.5910 data_time: 0.0228 memory: 17350 grad_norm: 9.2232 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 0.8252 loss: 0.8252 2022/07/25 01:42:55 - mmengine - INFO - Epoch(train) [98][460/3757] lr: 1.0000e-04 eta: 2:00:03 time: 0.7060 data_time: 0.0221 memory: 17350 grad_norm: 9.2334 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3324 loss: 1.3324 2022/07/25 01:43:07 - mmengine - INFO - Epoch(train) [98][480/3757] lr: 1.0000e-04 eta: 1:59:49 time: 0.6223 data_time: 0.0234 memory: 17350 grad_norm: 9.1189 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9771 loss: 0.9771 2022/07/25 01:43:22 - mmengine - INFO - Epoch(train) [98][500/3757] lr: 1.0000e-04 eta: 1:59:36 time: 0.7224 data_time: 0.0232 memory: 17350 grad_norm: 9.0184 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9656 loss: 0.9656 2022/07/25 01:43:34 - mmengine - INFO - Epoch(train) [98][520/3757] lr: 1.0000e-04 eta: 1:59:23 time: 0.6116 data_time: 0.0247 memory: 17350 grad_norm: 9.2131 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9115 loss: 0.9115 2022/07/25 01:43:49 - mmengine - INFO - Epoch(train) [98][540/3757] lr: 1.0000e-04 eta: 1:59:09 time: 0.7544 data_time: 0.0236 memory: 17350 grad_norm: 9.4993 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9877 loss: 0.9877 2022/07/25 01:44:01 - mmengine - INFO - Epoch(train) [98][560/3757] lr: 1.0000e-04 eta: 1:58:56 time: 0.5814 data_time: 0.0235 memory: 17350 grad_norm: 9.3889 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9022 loss: 0.9022 2022/07/25 01:44:10 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 01:44:16 - mmengine - INFO - Epoch(train) [98][580/3757] lr: 1.0000e-04 eta: 1:58:43 time: 0.7424 data_time: 0.0227 memory: 17350 grad_norm: 9.0070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8962 loss: 0.8962 2022/07/25 01:44:28 - mmengine - INFO - Epoch(train) [98][600/3757] lr: 1.0000e-04 eta: 1:58:29 time: 0.6091 data_time: 0.0219 memory: 17350 grad_norm: 9.6477 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1105 loss: 1.1105 2022/07/25 01:44:43 - mmengine - INFO - Epoch(train) [98][620/3757] lr: 1.0000e-04 eta: 1:58:16 time: 0.7414 data_time: 0.0222 memory: 17350 grad_norm: 8.8365 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0444 loss: 1.0444 2022/07/25 01:44:54 - mmengine - INFO - Epoch(train) [98][640/3757] lr: 1.0000e-04 eta: 1:58:03 time: 0.5888 data_time: 0.0256 memory: 17350 grad_norm: 9.2938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9560 loss: 0.9560 2022/07/25 01:45:09 - mmengine - INFO - Epoch(train) [98][660/3757] lr: 1.0000e-04 eta: 1:57:50 time: 0.7474 data_time: 0.0229 memory: 17350 grad_norm: 8.8193 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9585 loss: 0.9585 2022/07/25 01:45:21 - mmengine - INFO - Epoch(train) [98][680/3757] lr: 1.0000e-04 eta: 1:57:36 time: 0.5766 data_time: 0.0751 memory: 17350 grad_norm: 9.0333 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 0.9805 loss: 0.9805 2022/07/25 01:45:35 - mmengine - INFO - Epoch(train) [98][700/3757] lr: 1.0000e-04 eta: 1:57:23 time: 0.7027 data_time: 0.2334 memory: 17350 grad_norm: 9.4915 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8784 loss: 0.8784 2022/07/25 01:45:47 - mmengine - INFO - Epoch(train) [98][720/3757] lr: 1.0000e-04 eta: 1:57:09 time: 0.5889 data_time: 0.2319 memory: 17350 grad_norm: 9.0072 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1172 loss: 1.1172 2022/07/25 01:46:01 - mmengine - INFO - Epoch(train) [98][740/3757] lr: 1.0000e-04 eta: 1:56:56 time: 0.7221 data_time: 0.2930 memory: 17350 grad_norm: 8.9946 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0108 loss: 1.0108 2022/07/25 01:46:14 - mmengine - INFO - Epoch(train) [98][760/3757] lr: 1.0000e-04 eta: 1:56:43 time: 0.6242 data_time: 0.1711 memory: 17350 grad_norm: 9.4274 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7507 loss: 0.7507 2022/07/25 01:46:28 - mmengine - INFO - Epoch(train) [98][780/3757] lr: 1.0000e-04 eta: 1:56:30 time: 0.6994 data_time: 0.1787 memory: 17350 grad_norm: 9.2908 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9879 loss: 0.9879 2022/07/25 01:46:40 - mmengine - INFO - Epoch(train) [98][800/3757] lr: 1.0000e-04 eta: 1:56:16 time: 0.6149 data_time: 0.1157 memory: 17350 grad_norm: 8.4617 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8103 loss: 0.8103 2022/07/25 01:46:55 - mmengine - INFO - Epoch(train) [98][820/3757] lr: 1.0000e-04 eta: 1:56:03 time: 0.7285 data_time: 0.1662 memory: 17350 grad_norm: 9.0406 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1090 loss: 1.1090 2022/07/25 01:47:06 - mmengine - INFO - Epoch(train) [98][840/3757] lr: 1.0000e-04 eta: 1:55:50 time: 0.5888 data_time: 0.1299 memory: 17350 grad_norm: 9.1869 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7253 loss: 0.7253 2022/07/25 01:47:21 - mmengine - INFO - Epoch(train) [98][860/3757] lr: 1.0000e-04 eta: 1:55:36 time: 0.7371 data_time: 0.2779 memory: 17350 grad_norm: 9.6393 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9663 loss: 0.9663 2022/07/25 01:47:33 - mmengine - INFO - Epoch(train) [98][880/3757] lr: 1.0000e-04 eta: 1:55:23 time: 0.5821 data_time: 0.1659 memory: 17350 grad_norm: 9.2374 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9858 loss: 0.9858 2022/07/25 01:47:47 - mmengine - INFO - Epoch(train) [98][900/3757] lr: 1.0000e-04 eta: 1:55:10 time: 0.7256 data_time: 0.2010 memory: 17350 grad_norm: 9.1615 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9612 loss: 0.9612 2022/07/25 01:48:00 - mmengine - INFO - Epoch(train) [98][920/3757] lr: 1.0000e-04 eta: 1:54:56 time: 0.6104 data_time: 0.1095 memory: 17350 grad_norm: 9.0414 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9412 loss: 0.9412 2022/07/25 01:48:14 - mmengine - INFO - Epoch(train) [98][940/3757] lr: 1.0000e-04 eta: 1:54:43 time: 0.7409 data_time: 0.1163 memory: 17350 grad_norm: 9.6553 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2753 loss: 1.2753 2022/07/25 01:48:26 - mmengine - INFO - Epoch(train) [98][960/3757] lr: 1.0000e-04 eta: 1:54:30 time: 0.5943 data_time: 0.0797 memory: 17350 grad_norm: 9.1586 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7609 loss: 0.7609 2022/07/25 01:48:41 - mmengine - INFO - Epoch(train) [98][980/3757] lr: 1.0000e-04 eta: 1:54:16 time: 0.7349 data_time: 0.2456 memory: 17350 grad_norm: 9.1759 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9832 loss: 0.9832 2022/07/25 01:48:53 - mmengine - INFO - Epoch(train) [98][1000/3757] lr: 1.0000e-04 eta: 1:54:03 time: 0.5746 data_time: 0.1565 memory: 17350 grad_norm: 9.2531 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1142 loss: 1.1142 2022/07/25 01:49:07 - mmengine - INFO - Epoch(train) [98][1020/3757] lr: 1.0000e-04 eta: 1:53:50 time: 0.7301 data_time: 0.2364 memory: 17350 grad_norm: 9.0562 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7039 loss: 0.7039 2022/07/25 01:49:19 - mmengine - INFO - Epoch(train) [98][1040/3757] lr: 1.0000e-04 eta: 1:53:36 time: 0.6040 data_time: 0.1062 memory: 17350 grad_norm: 9.2577 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0797 loss: 1.0797 2022/07/25 01:49:34 - mmengine - INFO - Epoch(train) [98][1060/3757] lr: 1.0000e-04 eta: 1:53:23 time: 0.7137 data_time: 0.1441 memory: 17350 grad_norm: 9.0104 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7461 loss: 0.7461 2022/07/25 01:49:45 - mmengine - INFO - Epoch(train) [98][1080/3757] lr: 1.0000e-04 eta: 1:53:10 time: 0.5731 data_time: 0.1272 memory: 17350 grad_norm: 9.2541 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9120 loss: 0.9120 2022/07/25 01:50:00 - mmengine - INFO - Epoch(train) [98][1100/3757] lr: 1.0000e-04 eta: 1:52:56 time: 0.7480 data_time: 0.2157 memory: 17350 grad_norm: 9.0144 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8572 loss: 0.8572 2022/07/25 01:50:12 - mmengine - INFO - Epoch(train) [98][1120/3757] lr: 1.0000e-04 eta: 1:52:43 time: 0.6135 data_time: 0.1564 memory: 17350 grad_norm: 8.7821 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.8946 loss: 0.8946 2022/07/25 01:50:27 - mmengine - INFO - Epoch(train) [98][1140/3757] lr: 1.0000e-04 eta: 1:52:30 time: 0.7026 data_time: 0.2444 memory: 17350 grad_norm: 9.3760 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1859 loss: 1.1859 2022/07/25 01:50:39 - mmengine - INFO - Epoch(train) [98][1160/3757] lr: 1.0000e-04 eta: 1:52:16 time: 0.6465 data_time: 0.2286 memory: 17350 grad_norm: 9.1775 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1575 loss: 1.1575 2022/07/25 01:50:54 - mmengine - INFO - Epoch(train) [98][1180/3757] lr: 1.0000e-04 eta: 1:52:03 time: 0.7080 data_time: 0.2303 memory: 17350 grad_norm: 9.3156 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0695 loss: 1.0695 2022/07/25 01:51:06 - mmengine - INFO - Epoch(train) [98][1200/3757] lr: 1.0000e-04 eta: 1:51:50 time: 0.6178 data_time: 0.1123 memory: 17350 grad_norm: 9.4917 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9428 loss: 0.9428 2022/07/25 01:51:20 - mmengine - INFO - Epoch(train) [98][1220/3757] lr: 1.0000e-04 eta: 1:51:36 time: 0.7095 data_time: 0.1801 memory: 17350 grad_norm: 9.0100 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9329 loss: 0.9329 2022/07/25 01:51:33 - mmengine - INFO - Epoch(train) [98][1240/3757] lr: 1.0000e-04 eta: 1:51:23 time: 0.6439 data_time: 0.1754 memory: 17350 grad_norm: 9.7405 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0179 loss: 1.0179 2022/07/25 01:51:47 - mmengine - INFO - Epoch(train) [98][1260/3757] lr: 1.0000e-04 eta: 1:51:10 time: 0.6908 data_time: 0.1769 memory: 17350 grad_norm: 8.9801 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7103 loss: 0.7103 2022/07/25 01:52:00 - mmengine - INFO - Epoch(train) [98][1280/3757] lr: 1.0000e-04 eta: 1:50:56 time: 0.6577 data_time: 0.1158 memory: 17350 grad_norm: 9.3887 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1086 loss: 1.1086 2022/07/25 01:52:15 - mmengine - INFO - Epoch(train) [98][1300/3757] lr: 1.0000e-04 eta: 1:50:43 time: 0.7216 data_time: 0.0870 memory: 17350 grad_norm: 9.2616 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9621 loss: 0.9621 2022/07/25 01:52:28 - mmengine - INFO - Epoch(train) [98][1320/3757] lr: 1.0000e-04 eta: 1:50:30 time: 0.6507 data_time: 0.0227 memory: 17350 grad_norm: 8.8195 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8745 loss: 0.8745 2022/07/25 01:52:41 - mmengine - INFO - Epoch(train) [98][1340/3757] lr: 1.0000e-04 eta: 1:50:16 time: 0.6522 data_time: 0.0355 memory: 17350 grad_norm: 9.3008 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8565 loss: 0.8565 2022/07/25 01:52:55 - mmengine - INFO - Epoch(train) [98][1360/3757] lr: 1.0000e-04 eta: 1:50:03 time: 0.7178 data_time: 0.0227 memory: 17350 grad_norm: 9.0765 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0906 loss: 1.0906 2022/07/25 01:53:08 - mmengine - INFO - Epoch(train) [98][1380/3757] lr: 1.0000e-04 eta: 1:49:50 time: 0.6237 data_time: 0.0226 memory: 17350 grad_norm: 9.3083 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8701 loss: 0.8701 2022/07/25 01:53:22 - mmengine - INFO - Epoch(train) [98][1400/3757] lr: 1.0000e-04 eta: 1:49:36 time: 0.7012 data_time: 0.0219 memory: 17350 grad_norm: 8.9663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0028 loss: 1.0028 2022/07/25 01:53:34 - mmengine - INFO - Epoch(train) [98][1420/3757] lr: 1.0000e-04 eta: 1:49:23 time: 0.6003 data_time: 0.0251 memory: 17350 grad_norm: 8.9496 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9890 loss: 0.9890 2022/07/25 01:53:47 - mmengine - INFO - Epoch(train) [98][1440/3757] lr: 1.0000e-04 eta: 1:49:10 time: 0.6875 data_time: 0.0263 memory: 17350 grad_norm: 8.8575 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9912 loss: 0.9912 2022/07/25 01:54:00 - mmengine - INFO - Epoch(train) [98][1460/3757] lr: 1.0000e-04 eta: 1:48:56 time: 0.6485 data_time: 0.0360 memory: 17350 grad_norm: 8.2993 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8618 loss: 0.8618 2022/07/25 01:54:14 - mmengine - INFO - Epoch(train) [98][1480/3757] lr: 1.0000e-04 eta: 1:48:43 time: 0.6656 data_time: 0.0844 memory: 17350 grad_norm: 9.6657 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0368 loss: 1.0368 2022/07/25 01:54:27 - mmengine - INFO - Epoch(train) [98][1500/3757] lr: 1.0000e-04 eta: 1:48:30 time: 0.6437 data_time: 0.1455 memory: 17350 grad_norm: 8.8975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9980 loss: 0.9980 2022/07/25 01:54:42 - mmengine - INFO - Epoch(train) [98][1520/3757] lr: 1.0000e-04 eta: 1:48:16 time: 0.7547 data_time: 0.0468 memory: 17350 grad_norm: 8.7260 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1162 loss: 1.1162 2022/07/25 01:54:53 - mmengine - INFO - Epoch(train) [98][1540/3757] lr: 1.0000e-04 eta: 1:48:03 time: 0.5796 data_time: 0.0254 memory: 17350 grad_norm: 9.0996 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7169 loss: 0.7169 2022/07/25 01:55:09 - mmengine - INFO - Epoch(train) [98][1560/3757] lr: 1.0000e-04 eta: 1:47:50 time: 0.7857 data_time: 0.0201 memory: 17350 grad_norm: 8.9082 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9220 loss: 0.9220 2022/07/25 01:55:15 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 01:55:21 - mmengine - INFO - Epoch(train) [98][1580/3757] lr: 1.0000e-04 eta: 1:47:36 time: 0.6194 data_time: 0.0236 memory: 17350 grad_norm: 9.0827 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0358 loss: 1.0358 2022/07/25 01:55:36 - mmengine - INFO - Epoch(train) [98][1600/3757] lr: 1.0000e-04 eta: 1:47:23 time: 0.7429 data_time: 0.0225 memory: 17350 grad_norm: 9.3260 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9680 loss: 0.9680 2022/07/25 01:55:48 - mmengine - INFO - Epoch(train) [98][1620/3757] lr: 1.0000e-04 eta: 1:47:10 time: 0.6047 data_time: 0.0240 memory: 17350 grad_norm: 9.3272 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9786 loss: 0.9786 2022/07/25 01:56:04 - mmengine - INFO - Epoch(train) [98][1640/3757] lr: 1.0000e-04 eta: 1:46:57 time: 0.7544 data_time: 0.0235 memory: 17350 grad_norm: 9.3460 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0149 loss: 1.0149 2022/07/25 01:56:15 - mmengine - INFO - Epoch(train) [98][1660/3757] lr: 1.0000e-04 eta: 1:46:43 time: 0.5812 data_time: 0.0246 memory: 17350 grad_norm: 8.8081 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8841 loss: 0.8841 2022/07/25 01:56:30 - mmengine - INFO - Epoch(train) [98][1680/3757] lr: 1.0000e-04 eta: 1:46:30 time: 0.7186 data_time: 0.0352 memory: 17350 grad_norm: 8.9865 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1620 loss: 1.1620 2022/07/25 01:56:42 - mmengine - INFO - Epoch(train) [98][1700/3757] lr: 1.0000e-04 eta: 1:46:17 time: 0.6198 data_time: 0.0238 memory: 17350 grad_norm: 8.8546 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0652 loss: 1.0652 2022/07/25 01:56:56 - mmengine - INFO - Epoch(train) [98][1720/3757] lr: 1.0000e-04 eta: 1:46:03 time: 0.6835 data_time: 0.0227 memory: 17350 grad_norm: 9.4128 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8876 loss: 0.8876 2022/07/25 01:57:08 - mmengine - INFO - Epoch(train) [98][1740/3757] lr: 1.0000e-04 eta: 1:45:50 time: 0.6291 data_time: 0.0371 memory: 17350 grad_norm: 9.0642 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8748 loss: 0.8748 2022/07/25 01:57:23 - mmengine - INFO - Epoch(train) [98][1760/3757] lr: 1.0000e-04 eta: 1:45:37 time: 0.7458 data_time: 0.0238 memory: 17350 grad_norm: 8.9503 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0723 loss: 1.0723 2022/07/25 01:57:35 - mmengine - INFO - Epoch(train) [98][1780/3757] lr: 1.0000e-04 eta: 1:45:23 time: 0.5839 data_time: 0.0215 memory: 17350 grad_norm: 8.7582 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8954 loss: 0.8954 2022/07/25 01:57:50 - mmengine - INFO - Epoch(train) [98][1800/3757] lr: 1.0000e-04 eta: 1:45:10 time: 0.7405 data_time: 0.0224 memory: 17350 grad_norm: 8.9880 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8484 loss: 0.8484 2022/07/25 01:58:02 - mmengine - INFO - Epoch(train) [98][1820/3757] lr: 1.0000e-04 eta: 1:44:57 time: 0.5938 data_time: 0.0233 memory: 17350 grad_norm: 9.1524 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0313 loss: 1.0313 2022/07/25 01:58:16 - mmengine - INFO - Epoch(train) [98][1840/3757] lr: 1.0000e-04 eta: 1:44:43 time: 0.7045 data_time: 0.0224 memory: 17350 grad_norm: 9.1324 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1048 loss: 1.1048 2022/07/25 01:58:27 - mmengine - INFO - Epoch(train) [98][1860/3757] lr: 1.0000e-04 eta: 1:44:30 time: 0.5744 data_time: 0.0237 memory: 17350 grad_norm: 9.1412 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9175 loss: 0.9175 2022/07/25 01:58:41 - mmengine - INFO - Epoch(train) [98][1880/3757] lr: 1.0000e-04 eta: 1:44:17 time: 0.6770 data_time: 0.0142 memory: 17350 grad_norm: 9.1195 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2008 loss: 1.2008 2022/07/25 01:58:54 - mmengine - INFO - Epoch(train) [98][1900/3757] lr: 1.0000e-04 eta: 1:44:03 time: 0.6790 data_time: 0.0227 memory: 17350 grad_norm: 8.8821 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7841 loss: 0.7841 2022/07/25 01:59:09 - mmengine - INFO - Epoch(train) [98][1920/3757] lr: 1.0000e-04 eta: 1:43:50 time: 0.7164 data_time: 0.0221 memory: 17350 grad_norm: 9.3500 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9809 loss: 0.9809 2022/07/25 01:59:21 - mmengine - INFO - Epoch(train) [98][1940/3757] lr: 1.0000e-04 eta: 1:43:37 time: 0.6218 data_time: 0.0243 memory: 17350 grad_norm: 9.3567 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.8680 loss: 0.8680 2022/07/25 01:59:36 - mmengine - INFO - Epoch(train) [98][1960/3757] lr: 1.0000e-04 eta: 1:43:23 time: 0.7124 data_time: 0.0232 memory: 17350 grad_norm: 9.1789 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0524 loss: 1.0524 2022/07/25 01:59:48 - mmengine - INFO - Epoch(train) [98][1980/3757] lr: 1.0000e-04 eta: 1:43:10 time: 0.6120 data_time: 0.0244 memory: 17350 grad_norm: 9.0399 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9092 loss: 0.9092 2022/07/25 02:00:02 - mmengine - INFO - Epoch(train) [98][2000/3757] lr: 1.0000e-04 eta: 1:42:57 time: 0.7128 data_time: 0.0226 memory: 17350 grad_norm: 9.4657 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8955 loss: 0.8955 2022/07/25 02:00:16 - mmengine - INFO - Epoch(train) [98][2020/3757] lr: 1.0000e-04 eta: 1:42:43 time: 0.7101 data_time: 0.0282 memory: 17350 grad_norm: 9.0663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0426 loss: 1.0426 2022/07/25 02:00:30 - mmengine - INFO - Epoch(train) [98][2040/3757] lr: 1.0000e-04 eta: 1:42:30 time: 0.7019 data_time: 0.0249 memory: 17350 grad_norm: 9.2879 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9288 loss: 0.9288 2022/07/25 02:00:42 - mmengine - INFO - Epoch(train) [98][2060/3757] lr: 1.0000e-04 eta: 1:42:17 time: 0.5794 data_time: 0.0231 memory: 17350 grad_norm: 9.3047 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0088 loss: 1.0088 2022/07/25 02:00:56 - mmengine - INFO - Epoch(train) [98][2080/3757] lr: 1.0000e-04 eta: 1:42:03 time: 0.7113 data_time: 0.0223 memory: 17350 grad_norm: 9.2557 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9409 loss: 0.9409 2022/07/25 02:01:08 - mmengine - INFO - Epoch(train) [98][2100/3757] lr: 1.0000e-04 eta: 1:41:50 time: 0.5932 data_time: 0.0237 memory: 17350 grad_norm: 8.9205 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9145 loss: 0.9145 2022/07/25 02:01:23 - mmengine - INFO - Epoch(train) [98][2120/3757] lr: 1.0000e-04 eta: 1:41:37 time: 0.7201 data_time: 0.0233 memory: 17350 grad_norm: 9.0271 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9365 loss: 0.9365 2022/07/25 02:01:35 - mmengine - INFO - Epoch(train) [98][2140/3757] lr: 1.0000e-04 eta: 1:41:23 time: 0.6372 data_time: 0.0254 memory: 17350 grad_norm: 8.9327 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7914 loss: 0.7914 2022/07/25 02:01:48 - mmengine - INFO - Epoch(train) [98][2160/3757] lr: 1.0000e-04 eta: 1:41:10 time: 0.6227 data_time: 0.0214 memory: 17350 grad_norm: 8.9098 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8024 loss: 0.8024 2022/07/25 02:02:01 - mmengine - INFO - Epoch(train) [98][2180/3757] lr: 1.0000e-04 eta: 1:40:57 time: 0.6677 data_time: 0.0247 memory: 17350 grad_norm: 8.3130 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8470 loss: 0.8470 2022/07/25 02:02:13 - mmengine - INFO - Epoch(train) [98][2200/3757] lr: 1.0000e-04 eta: 1:40:43 time: 0.6167 data_time: 0.0236 memory: 17350 grad_norm: 8.8070 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7742 loss: 0.7742 2022/07/25 02:02:28 - mmengine - INFO - Epoch(train) [98][2220/3757] lr: 1.0000e-04 eta: 1:40:30 time: 0.7264 data_time: 0.0274 memory: 17350 grad_norm: 9.0565 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8659 loss: 0.8659 2022/07/25 02:02:40 - mmengine - INFO - Epoch(train) [98][2240/3757] lr: 1.0000e-04 eta: 1:40:17 time: 0.6080 data_time: 0.0237 memory: 17350 grad_norm: 8.7027 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7238 loss: 0.7238 2022/07/25 02:02:55 - mmengine - INFO - Epoch(train) [98][2260/3757] lr: 1.0000e-04 eta: 1:40:03 time: 0.7496 data_time: 0.0788 memory: 17350 grad_norm: 9.2783 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2454 loss: 1.2454 2022/07/25 02:03:08 - mmengine - INFO - Epoch(train) [98][2280/3757] lr: 1.0000e-04 eta: 1:39:50 time: 0.6214 data_time: 0.1030 memory: 17350 grad_norm: 9.5089 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1101 loss: 1.1101 2022/07/25 02:03:22 - mmengine - INFO - Epoch(train) [98][2300/3757] lr: 1.0000e-04 eta: 1:39:37 time: 0.6896 data_time: 0.1748 memory: 17350 grad_norm: 8.9831 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1483 loss: 1.1483 2022/07/25 02:03:34 - mmengine - INFO - Epoch(train) [98][2320/3757] lr: 1.0000e-04 eta: 1:39:23 time: 0.6214 data_time: 0.1908 memory: 17350 grad_norm: 9.4460 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8659 loss: 0.8659 2022/07/25 02:03:49 - mmengine - INFO - Epoch(train) [98][2340/3757] lr: 1.0000e-04 eta: 1:39:10 time: 0.7339 data_time: 0.3053 memory: 17350 grad_norm: 9.0034 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8826 loss: 0.8826 2022/07/25 02:04:01 - mmengine - INFO - Epoch(train) [98][2360/3757] lr: 1.0000e-04 eta: 1:38:57 time: 0.6025 data_time: 0.2625 memory: 17350 grad_norm: 9.3747 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0068 loss: 1.0068 2022/07/25 02:04:15 - mmengine - INFO - Epoch(train) [98][2380/3757] lr: 1.0000e-04 eta: 1:38:43 time: 0.7199 data_time: 0.3640 memory: 17350 grad_norm: 9.4517 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6976 loss: 0.6976 2022/07/25 02:04:28 - mmengine - INFO - Epoch(train) [98][2400/3757] lr: 1.0000e-04 eta: 1:38:30 time: 0.6342 data_time: 0.2853 memory: 17350 grad_norm: 9.2927 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0823 loss: 1.0823 2022/07/25 02:04:43 - mmengine - INFO - Epoch(train) [98][2420/3757] lr: 1.0000e-04 eta: 1:38:17 time: 0.7438 data_time: 0.3979 memory: 17350 grad_norm: 8.8443 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7029 loss: 0.7029 2022/07/25 02:04:55 - mmengine - INFO - Epoch(train) [98][2440/3757] lr: 1.0000e-04 eta: 1:38:03 time: 0.5943 data_time: 0.2510 memory: 17350 grad_norm: 9.3848 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0617 loss: 1.0617 2022/07/25 02:05:10 - mmengine - INFO - Epoch(train) [98][2460/3757] lr: 1.0000e-04 eta: 1:37:50 time: 0.7476 data_time: 0.4099 memory: 17350 grad_norm: 9.3014 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8848 loss: 0.8848 2022/07/25 02:05:21 - mmengine - INFO - Epoch(train) [98][2480/3757] lr: 1.0000e-04 eta: 1:37:37 time: 0.5523 data_time: 0.2162 memory: 17350 grad_norm: 9.3027 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7993 loss: 0.7993 2022/07/25 02:05:35 - mmengine - INFO - Epoch(train) [98][2500/3757] lr: 1.0000e-04 eta: 1:37:24 time: 0.7319 data_time: 0.3931 memory: 17350 grad_norm: 9.3394 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1060 loss: 1.1060 2022/07/25 02:05:47 - mmengine - INFO - Epoch(train) [98][2520/3757] lr: 1.0000e-04 eta: 1:37:10 time: 0.5682 data_time: 0.2189 memory: 17350 grad_norm: 9.3787 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9204 loss: 0.9204 2022/07/25 02:06:01 - mmengine - INFO - Epoch(train) [98][2540/3757] lr: 1.0000e-04 eta: 1:36:57 time: 0.7112 data_time: 0.3024 memory: 17350 grad_norm: 8.7855 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1283 loss: 1.1283 2022/07/25 02:06:13 - mmengine - INFO - Epoch(train) [98][2560/3757] lr: 1.0000e-04 eta: 1:36:43 time: 0.5994 data_time: 0.1872 memory: 17350 grad_norm: 9.4113 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0578 loss: 1.0578 2022/07/25 02:06:22 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 02:06:27 - mmengine - INFO - Epoch(train) [98][2580/3757] lr: 1.0000e-04 eta: 1:36:30 time: 0.7197 data_time: 0.3290 memory: 17350 grad_norm: 9.2478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0217 loss: 1.0217 2022/07/25 02:06:40 - mmengine - INFO - Epoch(train) [98][2600/3757] lr: 1.0000e-04 eta: 1:36:17 time: 0.6352 data_time: 0.2750 memory: 17350 grad_norm: 8.9481 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0515 loss: 1.0515 2022/07/25 02:06:55 - mmengine - INFO - Epoch(train) [98][2620/3757] lr: 1.0000e-04 eta: 1:36:04 time: 0.7411 data_time: 0.4000 memory: 17350 grad_norm: 9.4896 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0571 loss: 1.0571 2022/07/25 02:07:07 - mmengine - INFO - Epoch(train) [98][2640/3757] lr: 1.0000e-04 eta: 1:35:50 time: 0.5847 data_time: 0.2466 memory: 17350 grad_norm: 9.2836 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0011 loss: 1.0011 2022/07/25 02:07:22 - mmengine - INFO - Epoch(train) [98][2660/3757] lr: 1.0000e-04 eta: 1:35:37 time: 0.7745 data_time: 0.4273 memory: 17350 grad_norm: 9.2584 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8954 loss: 0.8954 2022/07/25 02:07:34 - mmengine - INFO - Epoch(train) [98][2680/3757] lr: 1.0000e-04 eta: 1:35:24 time: 0.5891 data_time: 0.2499 memory: 17350 grad_norm: 9.1671 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.7833 loss: 0.7833 2022/07/25 02:07:48 - mmengine - INFO - Epoch(train) [98][2700/3757] lr: 1.0000e-04 eta: 1:35:10 time: 0.6961 data_time: 0.3599 memory: 17350 grad_norm: 9.2873 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9388 loss: 0.9388 2022/07/25 02:08:00 - mmengine - INFO - Epoch(train) [98][2720/3757] lr: 1.0000e-04 eta: 1:34:57 time: 0.5945 data_time: 0.2591 memory: 17350 grad_norm: 9.4607 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0744 loss: 1.0744 2022/07/25 02:08:14 - mmengine - INFO - Epoch(train) [98][2740/3757] lr: 1.0000e-04 eta: 1:34:44 time: 0.7071 data_time: 0.3705 memory: 17350 grad_norm: 9.0118 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9419 loss: 0.9419 2022/07/25 02:08:26 - mmengine - INFO - Epoch(train) [98][2760/3757] lr: 1.0000e-04 eta: 1:34:30 time: 0.6007 data_time: 0.2595 memory: 17350 grad_norm: 9.5608 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7184 loss: 0.7184 2022/07/25 02:08:42 - mmengine - INFO - Epoch(train) [98][2780/3757] lr: 1.0000e-04 eta: 1:34:17 time: 0.7868 data_time: 0.4488 memory: 17350 grad_norm: 9.4800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0925 loss: 1.0925 2022/07/25 02:08:53 - mmengine - INFO - Epoch(train) [98][2800/3757] lr: 1.0000e-04 eta: 1:34:04 time: 0.5765 data_time: 0.2293 memory: 17350 grad_norm: 8.8651 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9512 loss: 0.9512 2022/07/25 02:09:08 - mmengine - INFO - Epoch(train) [98][2820/3757] lr: 1.0000e-04 eta: 1:33:50 time: 0.7255 data_time: 0.3868 memory: 17350 grad_norm: 8.9221 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6151 loss: 0.6151 2022/07/25 02:09:20 - mmengine - INFO - Epoch(train) [98][2840/3757] lr: 1.0000e-04 eta: 1:33:37 time: 0.6008 data_time: 0.2637 memory: 17350 grad_norm: 9.3145 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1616 loss: 1.1616 2022/07/25 02:09:34 - mmengine - INFO - Epoch(train) [98][2860/3757] lr: 1.0000e-04 eta: 1:33:24 time: 0.6992 data_time: 0.3509 memory: 17350 grad_norm: 9.2599 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8497 loss: 0.8497 2022/07/25 02:09:46 - mmengine - INFO - Epoch(train) [98][2880/3757] lr: 1.0000e-04 eta: 1:33:10 time: 0.6159 data_time: 0.2795 memory: 17350 grad_norm: 9.1839 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8211 loss: 0.8211 2022/07/25 02:10:00 - mmengine - INFO - Epoch(train) [98][2900/3757] lr: 1.0000e-04 eta: 1:32:57 time: 0.7019 data_time: 0.3634 memory: 17350 grad_norm: 9.3476 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9637 loss: 0.9637 2022/07/25 02:10:13 - mmengine - INFO - Epoch(train) [98][2920/3757] lr: 1.0000e-04 eta: 1:32:44 time: 0.6239 data_time: 0.2866 memory: 17350 grad_norm: 8.6716 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9237 loss: 0.9237 2022/07/25 02:10:28 - mmengine - INFO - Epoch(train) [98][2940/3757] lr: 1.0000e-04 eta: 1:32:30 time: 0.7456 data_time: 0.4067 memory: 17350 grad_norm: 8.9914 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9887 loss: 0.9887 2022/07/25 02:10:40 - mmengine - INFO - Epoch(train) [98][2960/3757] lr: 1.0000e-04 eta: 1:32:17 time: 0.6149 data_time: 0.2774 memory: 17350 grad_norm: 9.4698 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0921 loss: 1.0921 2022/07/25 02:10:54 - mmengine - INFO - Epoch(train) [98][2980/3757] lr: 1.0000e-04 eta: 1:32:04 time: 0.6828 data_time: 0.3347 memory: 17350 grad_norm: 9.0665 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0680 loss: 1.0680 2022/07/25 02:11:07 - mmengine - INFO - Epoch(train) [98][3000/3757] lr: 1.0000e-04 eta: 1:31:50 time: 0.6498 data_time: 0.3047 memory: 17350 grad_norm: 8.9857 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0529 loss: 1.0529 2022/07/25 02:11:21 - mmengine - INFO - Epoch(train) [98][3020/3757] lr: 1.0000e-04 eta: 1:31:37 time: 0.7294 data_time: 0.3920 memory: 17350 grad_norm: 9.3819 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0807 loss: 1.0807 2022/07/25 02:11:33 - mmengine - INFO - Epoch(train) [98][3040/3757] lr: 1.0000e-04 eta: 1:31:24 time: 0.5818 data_time: 0.2439 memory: 17350 grad_norm: 9.2883 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1687 loss: 1.1687 2022/07/25 02:11:46 - mmengine - INFO - Epoch(train) [98][3060/3757] lr: 1.0000e-04 eta: 1:31:10 time: 0.6548 data_time: 0.3183 memory: 17350 grad_norm: 9.2446 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0767 loss: 1.0767 2022/07/25 02:11:58 - mmengine - INFO - Epoch(train) [98][3080/3757] lr: 1.0000e-04 eta: 1:30:57 time: 0.6005 data_time: 0.2615 memory: 17350 grad_norm: 9.1498 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9209 loss: 0.9209 2022/07/25 02:12:13 - mmengine - INFO - Epoch(train) [98][3100/3757] lr: 1.0000e-04 eta: 1:30:44 time: 0.7408 data_time: 0.4015 memory: 17350 grad_norm: 9.0919 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2073 loss: 1.2073 2022/07/25 02:12:25 - mmengine - INFO - Epoch(train) [98][3120/3757] lr: 1.0000e-04 eta: 1:30:30 time: 0.6077 data_time: 0.2709 memory: 17350 grad_norm: 9.4508 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0195 loss: 1.0195 2022/07/25 02:12:40 - mmengine - INFO - Epoch(train) [98][3140/3757] lr: 1.0000e-04 eta: 1:30:17 time: 0.7219 data_time: 0.3837 memory: 17350 grad_norm: 9.0954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9820 loss: 0.9820 2022/07/25 02:12:52 - mmengine - INFO - Epoch(train) [98][3160/3757] lr: 1.0000e-04 eta: 1:30:04 time: 0.6173 data_time: 0.2783 memory: 17350 grad_norm: 9.2657 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0950 loss: 1.0950 2022/07/25 02:13:07 - mmengine - INFO - Epoch(train) [98][3180/3757] lr: 1.0000e-04 eta: 1:29:50 time: 0.7269 data_time: 0.3896 memory: 17350 grad_norm: 8.7457 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8728 loss: 0.8728 2022/07/25 02:13:18 - mmengine - INFO - Epoch(train) [98][3200/3757] lr: 1.0000e-04 eta: 1:29:37 time: 0.5878 data_time: 0.2498 memory: 17350 grad_norm: 9.2113 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0698 loss: 1.0698 2022/07/25 02:13:33 - mmengine - INFO - Epoch(train) [98][3220/3757] lr: 1.0000e-04 eta: 1:29:24 time: 0.7078 data_time: 0.3697 memory: 17350 grad_norm: 8.8639 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0037 loss: 1.0037 2022/07/25 02:13:45 - mmengine - INFO - Epoch(train) [98][3240/3757] lr: 1.0000e-04 eta: 1:29:10 time: 0.6008 data_time: 0.2631 memory: 17350 grad_norm: 9.2570 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0592 loss: 1.0592 2022/07/25 02:13:59 - mmengine - INFO - Epoch(train) [98][3260/3757] lr: 1.0000e-04 eta: 1:28:57 time: 0.7284 data_time: 0.3919 memory: 17350 grad_norm: 9.4375 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1958 loss: 1.1958 2022/07/25 02:14:11 - mmengine - INFO - Epoch(train) [98][3280/3757] lr: 1.0000e-04 eta: 1:28:44 time: 0.5913 data_time: 0.2482 memory: 17350 grad_norm: 9.3941 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8971 loss: 0.8971 2022/07/25 02:14:25 - mmengine - INFO - Epoch(train) [98][3300/3757] lr: 1.0000e-04 eta: 1:28:30 time: 0.7077 data_time: 0.3697 memory: 17350 grad_norm: 9.3093 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0256 loss: 1.0256 2022/07/25 02:14:37 - mmengine - INFO - Epoch(train) [98][3320/3757] lr: 1.0000e-04 eta: 1:28:17 time: 0.6038 data_time: 0.2665 memory: 17350 grad_norm: 8.7790 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0520 loss: 1.0520 2022/07/25 02:14:52 - mmengine - INFO - Epoch(train) [98][3340/3757] lr: 1.0000e-04 eta: 1:28:04 time: 0.7515 data_time: 0.4110 memory: 17350 grad_norm: 9.5424 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8752 loss: 0.8752 2022/07/25 02:15:05 - mmengine - INFO - Epoch(train) [98][3360/3757] lr: 1.0000e-04 eta: 1:27:50 time: 0.6178 data_time: 0.2780 memory: 17350 grad_norm: 9.1560 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9399 loss: 0.9399 2022/07/25 02:15:20 - mmengine - INFO - Epoch(train) [98][3380/3757] lr: 1.0000e-04 eta: 1:27:37 time: 0.7603 data_time: 0.4252 memory: 17350 grad_norm: 9.3001 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9660 loss: 0.9660 2022/07/25 02:15:32 - mmengine - INFO - Epoch(train) [98][3400/3757] lr: 1.0000e-04 eta: 1:27:24 time: 0.6012 data_time: 0.2597 memory: 17350 grad_norm: 8.9710 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1458 loss: 1.1458 2022/07/25 02:15:46 - mmengine - INFO - Epoch(train) [98][3420/3757] lr: 1.0000e-04 eta: 1:27:10 time: 0.7220 data_time: 0.3851 memory: 17350 grad_norm: 8.9859 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9246 loss: 0.9246 2022/07/25 02:15:58 - mmengine - INFO - Epoch(train) [98][3440/3757] lr: 1.0000e-04 eta: 1:26:57 time: 0.5950 data_time: 0.2568 memory: 17350 grad_norm: 9.3538 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0594 loss: 1.0594 2022/07/25 02:16:13 - mmengine - INFO - Epoch(train) [98][3460/3757] lr: 1.0000e-04 eta: 1:26:44 time: 0.7255 data_time: 0.3858 memory: 17350 grad_norm: 9.0064 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0077 loss: 1.0077 2022/07/25 02:16:25 - mmengine - INFO - Epoch(train) [98][3480/3757] lr: 1.0000e-04 eta: 1:26:30 time: 0.6129 data_time: 0.2533 memory: 17350 grad_norm: 9.4085 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0007 loss: 1.0007 2022/07/25 02:16:39 - mmengine - INFO - Epoch(train) [98][3500/3757] lr: 1.0000e-04 eta: 1:26:17 time: 0.6962 data_time: 0.3593 memory: 17350 grad_norm: 8.6322 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8619 loss: 0.8619 2022/07/25 02:16:52 - mmengine - INFO - Epoch(train) [98][3520/3757] lr: 1.0000e-04 eta: 1:26:04 time: 0.6344 data_time: 0.2919 memory: 17350 grad_norm: 9.2275 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9474 loss: 0.9474 2022/07/25 02:17:06 - mmengine - INFO - Epoch(train) [98][3540/3757] lr: 1.0000e-04 eta: 1:25:51 time: 0.7042 data_time: 0.3597 memory: 17350 grad_norm: 9.3168 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0735 loss: 1.0735 2022/07/25 02:17:18 - mmengine - INFO - Epoch(train) [98][3560/3757] lr: 1.0000e-04 eta: 1:25:37 time: 0.5815 data_time: 0.2439 memory: 17350 grad_norm: 9.1057 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8071 loss: 0.8071 2022/07/25 02:17:26 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 02:17:32 - mmengine - INFO - Epoch(train) [98][3580/3757] lr: 1.0000e-04 eta: 1:25:24 time: 0.7048 data_time: 0.3595 memory: 17350 grad_norm: 9.1789 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8471 loss: 0.8471 2022/07/25 02:17:44 - mmengine - INFO - Epoch(train) [98][3600/3757] lr: 1.0000e-04 eta: 1:25:10 time: 0.6003 data_time: 0.2441 memory: 17350 grad_norm: 8.8342 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9252 loss: 0.9252 2022/07/25 02:17:57 - mmengine - INFO - Epoch(train) [98][3620/3757] lr: 1.0000e-04 eta: 1:24:57 time: 0.6792 data_time: 0.2714 memory: 17350 grad_norm: 9.4540 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0176 loss: 1.0176 2022/07/25 02:18:09 - mmengine - INFO - Epoch(train) [98][3640/3757] lr: 1.0000e-04 eta: 1:24:44 time: 0.5977 data_time: 0.1231 memory: 17350 grad_norm: 9.5708 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1810 loss: 1.1810 2022/07/25 02:18:24 - mmengine - INFO - Epoch(train) [98][3660/3757] lr: 1.0000e-04 eta: 1:24:31 time: 0.7229 data_time: 0.1866 memory: 17350 grad_norm: 9.0711 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9712 loss: 0.9712 2022/07/25 02:18:36 - mmengine - INFO - Epoch(train) [98][3680/3757] lr: 1.0000e-04 eta: 1:24:17 time: 0.6018 data_time: 0.0838 memory: 17350 grad_norm: 8.8256 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8671 loss: 0.8671 2022/07/25 02:18:50 - mmengine - INFO - Epoch(train) [98][3700/3757] lr: 1.0000e-04 eta: 1:24:04 time: 0.6839 data_time: 0.2164 memory: 17350 grad_norm: 9.1556 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9846 loss: 0.9846 2022/07/25 02:19:02 - mmengine - INFO - Epoch(train) [98][3720/3757] lr: 1.0000e-04 eta: 1:23:50 time: 0.6397 data_time: 0.1772 memory: 17350 grad_norm: 8.8204 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0329 loss: 1.0329 2022/07/25 02:19:16 - mmengine - INFO - Epoch(train) [98][3740/3757] lr: 1.0000e-04 eta: 1:23:37 time: 0.6848 data_time: 0.1591 memory: 17350 grad_norm: 9.5727 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8490 loss: 0.8490 2022/07/25 02:19:24 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 02:19:24 - mmengine - INFO - Epoch(train) [98][3757/3757] lr: 1.0000e-04 eta: 1:23:37 time: 0.4888 data_time: 0.1051 memory: 17350 grad_norm: 8.9240 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.6835 loss: 0.6835 2022/07/25 02:19:40 - mmengine - INFO - Epoch(val) [98][20/310] eta: 0:03:55 time: 0.8131 data_time: 0.6977 memory: 3406 2022/07/25 02:19:51 - mmengine - INFO - Epoch(val) [98][40/310] eta: 0:02:27 time: 0.5477 data_time: 0.4283 memory: 3406 2022/07/25 02:20:08 - mmengine - INFO - Epoch(val) [98][60/310] eta: 0:03:27 time: 0.8304 data_time: 0.7176 memory: 3406 2022/07/25 02:20:19 - mmengine - INFO - Epoch(val) [98][80/310] eta: 0:02:00 time: 0.5250 data_time: 0.4113 memory: 3406 2022/07/25 02:20:34 - mmengine - INFO - Epoch(val) [98][100/310] eta: 0:02:42 time: 0.7756 data_time: 0.6598 memory: 3406 2022/07/25 02:20:45 - mmengine - INFO - Epoch(val) [98][120/310] eta: 0:01:43 time: 0.5455 data_time: 0.4321 memory: 3406 2022/07/25 02:21:01 - mmengine - INFO - Epoch(val) [98][140/310] eta: 0:02:15 time: 0.7942 data_time: 0.6785 memory: 3406 2022/07/25 02:21:12 - mmengine - INFO - Epoch(val) [98][160/310] eta: 0:01:26 time: 0.5739 data_time: 0.4536 memory: 3406 2022/07/25 02:21:28 - mmengine - INFO - Epoch(val) [98][180/310] eta: 0:01:39 time: 0.7678 data_time: 0.6545 memory: 3406 2022/07/25 02:21:38 - mmengine - INFO - Epoch(val) [98][200/310] eta: 0:00:59 time: 0.5396 data_time: 0.4284 memory: 3406 2022/07/25 02:21:54 - mmengine - INFO - Epoch(val) [98][220/310] eta: 0:01:08 time: 0.7596 data_time: 0.6459 memory: 3406 2022/07/25 02:22:05 - mmengine - INFO - Epoch(val) [98][240/310] eta: 0:00:40 time: 0.5762 data_time: 0.4617 memory: 3406 2022/07/25 02:22:20 - mmengine - INFO - Epoch(val) [98][260/310] eta: 0:00:37 time: 0.7590 data_time: 0.6447 memory: 3406 2022/07/25 02:22:31 - mmengine - INFO - Epoch(val) [98][280/310] eta: 0:00:16 time: 0.5441 data_time: 0.4307 memory: 3406 2022/07/25 02:22:46 - mmengine - INFO - Epoch(val) [98][300/310] eta: 0:00:07 time: 0.7380 data_time: 0.6217 memory: 3406 2022/07/25 02:22:50 - mmengine - INFO - Epoch(val) [98][310/310] acc/top1: 0.6912 acc/top5: 0.8802 acc/mean1: 0.6911 2022/07/25 02:23:07 - mmengine - INFO - Epoch(train) [99][20/3757] lr: 1.0000e-04 eta: 1:23:12 time: 0.8628 data_time: 0.4997 memory: 17350 grad_norm: 9.2332 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0233 loss: 1.0233 2022/07/25 02:23:20 - mmengine - INFO - Epoch(train) [99][40/3757] lr: 1.0000e-04 eta: 1:22:59 time: 0.6087 data_time: 0.2557 memory: 17350 grad_norm: 9.0746 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1179 loss: 1.1179 2022/07/25 02:23:34 - mmengine - INFO - Epoch(train) [99][60/3757] lr: 1.0000e-04 eta: 1:22:46 time: 0.7438 data_time: 0.2932 memory: 17350 grad_norm: 9.3590 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1149 loss: 1.1149 2022/07/25 02:23:46 - mmengine - INFO - Epoch(train) [99][80/3757] lr: 1.0000e-04 eta: 1:22:32 time: 0.5852 data_time: 0.1884 memory: 17350 grad_norm: 9.2992 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7069 loss: 0.7069 2022/07/25 02:24:01 - mmengine - INFO - Epoch(train) [99][100/3757] lr: 1.0000e-04 eta: 1:22:19 time: 0.7548 data_time: 0.3397 memory: 17350 grad_norm: 9.1283 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0439 loss: 1.0439 2022/07/25 02:24:14 - mmengine - INFO - Epoch(train) [99][120/3757] lr: 1.0000e-04 eta: 1:22:06 time: 0.6118 data_time: 0.1546 memory: 17350 grad_norm: 9.3396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7546 loss: 0.7546 2022/07/25 02:24:28 - mmengine - INFO - Epoch(train) [99][140/3757] lr: 1.0000e-04 eta: 1:21:52 time: 0.7250 data_time: 0.1416 memory: 17350 grad_norm: 9.0904 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0382 loss: 1.0382 2022/07/25 02:24:40 - mmengine - INFO - Epoch(train) [99][160/3757] lr: 1.0000e-04 eta: 1:21:39 time: 0.6000 data_time: 0.0870 memory: 17350 grad_norm: 9.1939 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0164 loss: 1.0164 2022/07/25 02:24:54 - mmengine - INFO - Epoch(train) [99][180/3757] lr: 1.0000e-04 eta: 1:21:26 time: 0.7107 data_time: 0.0967 memory: 17350 grad_norm: 9.0420 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9342 loss: 0.9342 2022/07/25 02:25:06 - mmengine - INFO - Epoch(train) [99][200/3757] lr: 1.0000e-04 eta: 1:21:12 time: 0.5847 data_time: 0.0641 memory: 17350 grad_norm: 9.3631 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9835 loss: 0.9835 2022/07/25 02:25:21 - mmengine - INFO - Epoch(train) [99][220/3757] lr: 1.0000e-04 eta: 1:20:59 time: 0.7532 data_time: 0.1821 memory: 17350 grad_norm: 9.1023 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0412 loss: 1.0412 2022/07/25 02:25:35 - mmengine - INFO - Epoch(train) [99][240/3757] lr: 1.0000e-04 eta: 1:20:46 time: 0.6701 data_time: 0.1879 memory: 17350 grad_norm: 9.1754 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1530 loss: 1.1530 2022/07/25 02:25:49 - mmengine - INFO - Epoch(train) [99][260/3757] lr: 1.0000e-04 eta: 1:20:33 time: 0.7365 data_time: 0.2570 memory: 17350 grad_norm: 8.9635 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9894 loss: 0.9894 2022/07/25 02:26:01 - mmengine - INFO - Epoch(train) [99][280/3757] lr: 1.0000e-04 eta: 1:20:19 time: 0.5739 data_time: 0.2133 memory: 17350 grad_norm: 8.8143 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8696 loss: 0.8696 2022/07/25 02:26:16 - mmengine - INFO - Epoch(train) [99][300/3757] lr: 1.0000e-04 eta: 1:20:06 time: 0.7457 data_time: 0.2951 memory: 17350 grad_norm: 9.1852 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9630 loss: 0.9630 2022/07/25 02:26:28 - mmengine - INFO - Epoch(train) [99][320/3757] lr: 1.0000e-04 eta: 1:19:52 time: 0.5868 data_time: 0.1921 memory: 17350 grad_norm: 8.9202 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9642 loss: 0.9642 2022/07/25 02:26:43 - mmengine - INFO - Epoch(train) [99][340/3757] lr: 1.0000e-04 eta: 1:19:39 time: 0.7661 data_time: 0.3390 memory: 17350 grad_norm: 9.1023 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0099 loss: 1.0099 2022/07/25 02:26:54 - mmengine - INFO - Epoch(train) [99][360/3757] lr: 1.0000e-04 eta: 1:19:26 time: 0.5733 data_time: 0.2203 memory: 17350 grad_norm: 8.7027 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7192 loss: 0.7192 2022/07/25 02:27:09 - mmengine - INFO - Epoch(train) [99][380/3757] lr: 1.0000e-04 eta: 1:19:13 time: 0.7332 data_time: 0.2661 memory: 17350 grad_norm: 9.2125 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0129 loss: 1.0129 2022/07/25 02:27:21 - mmengine - INFO - Epoch(train) [99][400/3757] lr: 1.0000e-04 eta: 1:18:59 time: 0.5767 data_time: 0.1227 memory: 17350 grad_norm: 9.6501 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2433 loss: 1.2433 2022/07/25 02:27:34 - mmengine - INFO - Epoch(train) [99][420/3757] lr: 1.0000e-04 eta: 1:18:46 time: 0.6884 data_time: 0.1425 memory: 17350 grad_norm: 9.0769 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6977 loss: 0.6977 2022/07/25 02:27:46 - mmengine - INFO - Epoch(train) [99][440/3757] lr: 1.0000e-04 eta: 1:18:33 time: 0.5772 data_time: 0.0390 memory: 17350 grad_norm: 9.6386 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0439 loss: 1.0439 2022/07/25 02:28:00 - mmengine - INFO - Epoch(train) [99][460/3757] lr: 1.0000e-04 eta: 1:18:19 time: 0.7160 data_time: 0.0808 memory: 17350 grad_norm: 9.1216 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0454 loss: 1.0454 2022/07/25 02:28:13 - mmengine - INFO - Epoch(train) [99][480/3757] lr: 1.0000e-04 eta: 1:18:06 time: 0.6230 data_time: 0.0237 memory: 17350 grad_norm: 9.4038 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9635 loss: 0.9635 2022/07/25 02:28:27 - mmengine - INFO - Epoch(train) [99][500/3757] lr: 1.0000e-04 eta: 1:17:53 time: 0.7256 data_time: 0.0251 memory: 17350 grad_norm: 9.1075 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1163 loss: 1.1163 2022/07/25 02:28:39 - mmengine - INFO - Epoch(train) [99][520/3757] lr: 1.0000e-04 eta: 1:17:39 time: 0.6019 data_time: 0.0449 memory: 17350 grad_norm: 9.0706 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0047 loss: 1.0047 2022/07/25 02:28:54 - mmengine - INFO - Epoch(train) [99][540/3757] lr: 1.0000e-04 eta: 1:17:26 time: 0.7204 data_time: 0.0926 memory: 17350 grad_norm: 9.0831 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8632 loss: 0.8632 2022/07/25 02:29:06 - mmengine - INFO - Epoch(train) [99][560/3757] lr: 1.0000e-04 eta: 1:17:13 time: 0.5972 data_time: 0.0745 memory: 17350 grad_norm: 9.1017 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9168 loss: 0.9168 2022/07/25 02:29:21 - mmengine - INFO - Epoch(train) [99][580/3757] lr: 1.0000e-04 eta: 1:16:59 time: 0.7410 data_time: 0.1531 memory: 17350 grad_norm: 9.0783 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0603 loss: 1.0603 2022/07/25 02:29:33 - mmengine - INFO - Epoch(train) [99][600/3757] lr: 1.0000e-04 eta: 1:16:46 time: 0.5999 data_time: 0.1285 memory: 17350 grad_norm: 8.9441 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8815 loss: 0.8815 2022/07/25 02:29:46 - mmengine - INFO - Epoch(train) [99][620/3757] lr: 1.0000e-04 eta: 1:16:33 time: 0.6899 data_time: 0.0912 memory: 17350 grad_norm: 9.2738 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9503 loss: 0.9503 2022/07/25 02:29:59 - mmengine - INFO - Epoch(train) [99][640/3757] lr: 1.0000e-04 eta: 1:16:19 time: 0.6214 data_time: 0.0540 memory: 17350 grad_norm: 9.5655 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0698 loss: 1.0698 2022/07/25 02:30:14 - mmengine - INFO - Epoch(train) [99][660/3757] lr: 1.0000e-04 eta: 1:16:06 time: 0.7476 data_time: 0.1837 memory: 17350 grad_norm: 9.5003 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8932 loss: 0.8932 2022/07/25 02:30:25 - mmengine - INFO - Epoch(train) [99][680/3757] lr: 1.0000e-04 eta: 1:15:53 time: 0.5756 data_time: 0.0640 memory: 17350 grad_norm: 9.3604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1195 loss: 1.1195 2022/07/25 02:30:39 - mmengine - INFO - Epoch(train) [99][700/3757] lr: 1.0000e-04 eta: 1:15:39 time: 0.7037 data_time: 0.1296 memory: 17350 grad_norm: 9.3057 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9482 loss: 0.9482 2022/07/25 02:30:51 - mmengine - INFO - Epoch(train) [99][720/3757] lr: 1.0000e-04 eta: 1:15:26 time: 0.5954 data_time: 0.0739 memory: 17350 grad_norm: 10.0181 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9114 loss: 0.9114 2022/07/25 02:31:06 - mmengine - INFO - Epoch(train) [99][740/3757] lr: 1.0000e-04 eta: 1:15:13 time: 0.7177 data_time: 0.1076 memory: 17350 grad_norm: 8.8716 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8257 loss: 0.8257 2022/07/25 02:31:18 - mmengine - INFO - Epoch(train) [99][760/3757] lr: 1.0000e-04 eta: 1:14:59 time: 0.6237 data_time: 0.1025 memory: 17350 grad_norm: 9.1246 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8116 loss: 0.8116 2022/07/25 02:31:33 - mmengine - INFO - Epoch(train) [99][780/3757] lr: 1.0000e-04 eta: 1:14:46 time: 0.7259 data_time: 0.2238 memory: 17350 grad_norm: 9.3479 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8191 loss: 0.8191 2022/07/25 02:31:44 - mmengine - INFO - Epoch(train) [99][800/3757] lr: 1.0000e-04 eta: 1:14:33 time: 0.5778 data_time: 0.1457 memory: 17350 grad_norm: 9.4855 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0168 loss: 1.0168 2022/07/25 02:31:55 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 02:31:59 - mmengine - INFO - Epoch(train) [99][820/3757] lr: 1.0000e-04 eta: 1:14:19 time: 0.7234 data_time: 0.1738 memory: 17350 grad_norm: 9.0273 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8534 loss: 0.8534 2022/07/25 02:32:11 - mmengine - INFO - Epoch(train) [99][840/3757] lr: 1.0000e-04 eta: 1:14:06 time: 0.6123 data_time: 0.0592 memory: 17350 grad_norm: 9.2223 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1467 loss: 1.1467 2022/07/25 02:32:26 - mmengine - INFO - Epoch(train) [99][860/3757] lr: 1.0000e-04 eta: 1:13:53 time: 0.7318 data_time: 0.0236 memory: 17350 grad_norm: 9.1583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8939 loss: 0.8939 2022/07/25 02:32:38 - mmengine - INFO - Epoch(train) [99][880/3757] lr: 1.0000e-04 eta: 1:13:39 time: 0.6202 data_time: 0.0247 memory: 17350 grad_norm: 8.9737 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8879 loss: 0.8879 2022/07/25 02:32:52 - mmengine - INFO - Epoch(train) [99][900/3757] lr: 1.0000e-04 eta: 1:13:26 time: 0.7102 data_time: 0.0227 memory: 17350 grad_norm: 9.5734 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1358 loss: 1.1358 2022/07/25 02:33:04 - mmengine - INFO - Epoch(train) [99][920/3757] lr: 1.0000e-04 eta: 1:13:13 time: 0.5925 data_time: 0.0293 memory: 17350 grad_norm: 9.4324 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9450 loss: 0.9450 2022/07/25 02:33:19 - mmengine - INFO - Epoch(train) [99][940/3757] lr: 1.0000e-04 eta: 1:12:59 time: 0.7492 data_time: 0.0801 memory: 17350 grad_norm: 9.4417 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2209 loss: 1.2209 2022/07/25 02:33:32 - mmengine - INFO - Epoch(train) [99][960/3757] lr: 1.0000e-04 eta: 1:12:46 time: 0.6200 data_time: 0.0491 memory: 17350 grad_norm: 9.0024 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7608 loss: 0.7608 2022/07/25 02:33:45 - mmengine - INFO - Epoch(train) [99][980/3757] lr: 1.0000e-04 eta: 1:12:33 time: 0.6822 data_time: 0.1285 memory: 17350 grad_norm: 8.7749 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7142 loss: 0.7142 2022/07/25 02:33:57 - mmengine - INFO - Epoch(train) [99][1000/3757] lr: 1.0000e-04 eta: 1:12:19 time: 0.5916 data_time: 0.0952 memory: 17350 grad_norm: 8.9443 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0349 loss: 1.0349 2022/07/25 02:34:11 - mmengine - INFO - Epoch(train) [99][1020/3757] lr: 1.0000e-04 eta: 1:12:06 time: 0.7046 data_time: 0.1569 memory: 17350 grad_norm: 9.1785 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.7210 loss: 0.7210 2022/07/25 02:34:24 - mmengine - INFO - Epoch(train) [99][1040/3757] lr: 1.0000e-04 eta: 1:11:53 time: 0.6071 data_time: 0.1279 memory: 17350 grad_norm: 9.4337 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0065 loss: 1.0065 2022/07/25 02:34:39 - mmengine - INFO - Epoch(train) [99][1060/3757] lr: 1.0000e-04 eta: 1:11:39 time: 0.7492 data_time: 0.1419 memory: 17350 grad_norm: 9.4264 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0385 loss: 1.0385 2022/07/25 02:34:52 - mmengine - INFO - Epoch(train) [99][1080/3757] lr: 1.0000e-04 eta: 1:11:26 time: 0.6815 data_time: 0.0241 memory: 17350 grad_norm: 9.5761 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9570 loss: 0.9570 2022/07/25 02:35:08 - mmengine - INFO - Epoch(train) [99][1100/3757] lr: 1.0000e-04 eta: 1:11:13 time: 0.7684 data_time: 0.1109 memory: 17350 grad_norm: 8.7119 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9492 loss: 0.9492 2022/07/25 02:35:20 - mmengine - INFO - Epoch(train) [99][1120/3757] lr: 1.0000e-04 eta: 1:10:59 time: 0.6257 data_time: 0.0864 memory: 17350 grad_norm: 8.8298 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8911 loss: 0.8911 2022/07/25 02:35:34 - mmengine - INFO - Epoch(train) [99][1140/3757] lr: 1.0000e-04 eta: 1:10:46 time: 0.6926 data_time: 0.0254 memory: 17350 grad_norm: 9.4203 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7690 loss: 0.7690 2022/07/25 02:35:46 - mmengine - INFO - Epoch(train) [99][1160/3757] lr: 1.0000e-04 eta: 1:10:33 time: 0.6033 data_time: 0.0219 memory: 17350 grad_norm: 8.8666 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7335 loss: 0.7335 2022/07/25 02:36:01 - mmengine - INFO - Epoch(train) [99][1180/3757] lr: 1.0000e-04 eta: 1:10:20 time: 0.7661 data_time: 0.0233 memory: 17350 grad_norm: 9.2256 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8159 loss: 0.8159 2022/07/25 02:36:13 - mmengine - INFO - Epoch(train) [99][1200/3757] lr: 1.0000e-04 eta: 1:10:06 time: 0.5685 data_time: 0.0238 memory: 17350 grad_norm: 9.0651 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9175 loss: 0.9175 2022/07/25 02:36:28 - mmengine - INFO - Epoch(train) [99][1220/3757] lr: 1.0000e-04 eta: 1:09:53 time: 0.7561 data_time: 0.0214 memory: 17350 grad_norm: 9.5526 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3215 loss: 1.3215 2022/07/25 02:36:40 - mmengine - INFO - Epoch(train) [99][1240/3757] lr: 1.0000e-04 eta: 1:09:40 time: 0.6163 data_time: 0.0217 memory: 17350 grad_norm: 9.0753 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0238 loss: 1.0238 2022/07/25 02:36:54 - mmengine - INFO - Epoch(train) [99][1260/3757] lr: 1.0000e-04 eta: 1:09:26 time: 0.6811 data_time: 0.0279 memory: 17350 grad_norm: 9.0293 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0382 loss: 1.0382 2022/07/25 02:37:07 - mmengine - INFO - Epoch(train) [99][1280/3757] lr: 1.0000e-04 eta: 1:09:13 time: 0.6312 data_time: 0.0217 memory: 17350 grad_norm: 9.4204 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9428 loss: 0.9428 2022/07/25 02:37:20 - mmengine - INFO - Epoch(train) [99][1300/3757] lr: 1.0000e-04 eta: 1:09:00 time: 0.6923 data_time: 0.0223 memory: 17350 grad_norm: 8.8493 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9929 loss: 0.9929 2022/07/25 02:37:33 - mmengine - INFO - Epoch(train) [99][1320/3757] lr: 1.0000e-04 eta: 1:08:46 time: 0.6033 data_time: 0.0226 memory: 17350 grad_norm: 9.1371 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5619 loss: 0.5619 2022/07/25 02:37:47 - mmengine - INFO - Epoch(train) [99][1340/3757] lr: 1.0000e-04 eta: 1:08:33 time: 0.7432 data_time: 0.0244 memory: 17350 grad_norm: 9.2380 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0231 loss: 1.0231 2022/07/25 02:38:00 - mmengine - INFO - Epoch(train) [99][1360/3757] lr: 1.0000e-04 eta: 1:08:20 time: 0.6381 data_time: 0.0233 memory: 17350 grad_norm: 8.9845 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9833 loss: 0.9833 2022/07/25 02:38:14 - mmengine - INFO - Epoch(train) [99][1380/3757] lr: 1.0000e-04 eta: 1:08:06 time: 0.7017 data_time: 0.0272 memory: 17350 grad_norm: 8.6788 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8654 loss: 0.8654 2022/07/25 02:38:26 - mmengine - INFO - Epoch(train) [99][1400/3757] lr: 1.0000e-04 eta: 1:07:53 time: 0.6025 data_time: 0.0216 memory: 17350 grad_norm: 9.1562 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8981 loss: 0.8981 2022/07/25 02:38:40 - mmengine - INFO - Epoch(train) [99][1420/3757] lr: 1.0000e-04 eta: 1:07:40 time: 0.7002 data_time: 0.0245 memory: 17350 grad_norm: 9.3502 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0970 loss: 1.0970 2022/07/25 02:38:53 - mmengine - INFO - Epoch(train) [99][1440/3757] lr: 1.0000e-04 eta: 1:07:26 time: 0.6076 data_time: 0.0226 memory: 17350 grad_norm: 9.5795 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9935 loss: 0.9935 2022/07/25 02:39:07 - mmengine - INFO - Epoch(train) [99][1460/3757] lr: 1.0000e-04 eta: 1:07:13 time: 0.7244 data_time: 0.0239 memory: 17350 grad_norm: 9.3190 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8883 loss: 0.8883 2022/07/25 02:39:19 - mmengine - INFO - Epoch(train) [99][1480/3757] lr: 1.0000e-04 eta: 1:07:00 time: 0.6188 data_time: 0.0214 memory: 17350 grad_norm: 8.8444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7924 loss: 0.7924 2022/07/25 02:39:34 - mmengine - INFO - Epoch(train) [99][1500/3757] lr: 1.0000e-04 eta: 1:06:46 time: 0.7032 data_time: 0.0215 memory: 17350 grad_norm: 9.4546 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9868 loss: 0.9868 2022/07/25 02:39:45 - mmengine - INFO - Epoch(train) [99][1520/3757] lr: 1.0000e-04 eta: 1:06:33 time: 0.5830 data_time: 0.0223 memory: 17350 grad_norm: 9.2463 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1066 loss: 1.1066 2022/07/25 02:40:00 - mmengine - INFO - Epoch(train) [99][1540/3757] lr: 1.0000e-04 eta: 1:06:20 time: 0.7463 data_time: 0.0221 memory: 17350 grad_norm: 9.3269 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2563 loss: 1.2563 2022/07/25 02:40:13 - mmengine - INFO - Epoch(train) [99][1560/3757] lr: 1.0000e-04 eta: 1:06:06 time: 0.6173 data_time: 0.0225 memory: 17350 grad_norm: 9.1014 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0098 loss: 1.0098 2022/07/25 02:40:27 - mmengine - INFO - Epoch(train) [99][1580/3757] lr: 1.0000e-04 eta: 1:05:53 time: 0.7090 data_time: 0.0238 memory: 17350 grad_norm: 9.0082 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0308 loss: 1.0308 2022/07/25 02:40:39 - mmengine - INFO - Epoch(train) [99][1600/3757] lr: 1.0000e-04 eta: 1:05:40 time: 0.5984 data_time: 0.0236 memory: 17350 grad_norm: 9.1443 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1419 loss: 1.1419 2022/07/25 02:40:53 - mmengine - INFO - Epoch(train) [99][1620/3757] lr: 1.0000e-04 eta: 1:05:26 time: 0.7076 data_time: 0.0264 memory: 17350 grad_norm: 8.7884 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9170 loss: 0.9170 2022/07/25 02:41:05 - mmengine - INFO - Epoch(train) [99][1640/3757] lr: 1.0000e-04 eta: 1:05:13 time: 0.6135 data_time: 0.0248 memory: 17350 grad_norm: 8.8119 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0962 loss: 1.0962 2022/07/25 02:41:21 - mmengine - INFO - Epoch(train) [99][1660/3757] lr: 1.0000e-04 eta: 1:05:00 time: 0.7638 data_time: 0.0249 memory: 17350 grad_norm: 9.0917 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0472 loss: 1.0472 2022/07/25 02:41:32 - mmengine - INFO - Epoch(train) [99][1680/3757] lr: 1.0000e-04 eta: 1:04:46 time: 0.5868 data_time: 0.0224 memory: 17350 grad_norm: 9.5884 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7689 loss: 0.7689 2022/07/25 02:41:47 - mmengine - INFO - Epoch(train) [99][1700/3757] lr: 1.0000e-04 eta: 1:04:33 time: 0.7346 data_time: 0.0233 memory: 17350 grad_norm: 8.9614 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2090 loss: 1.2090 2022/07/25 02:41:59 - mmengine - INFO - Epoch(train) [99][1720/3757] lr: 1.0000e-04 eta: 1:04:20 time: 0.5822 data_time: 0.0262 memory: 17350 grad_norm: 9.0510 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1759 loss: 1.1759 2022/07/25 02:42:13 - mmengine - INFO - Epoch(train) [99][1740/3757] lr: 1.0000e-04 eta: 1:04:06 time: 0.6950 data_time: 0.0212 memory: 17350 grad_norm: 9.4347 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0084 loss: 1.0084 2022/07/25 02:42:25 - mmengine - INFO - Epoch(train) [99][1760/3757] lr: 1.0000e-04 eta: 1:03:53 time: 0.6206 data_time: 0.0275 memory: 17350 grad_norm: 9.0788 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7798 loss: 0.7798 2022/07/25 02:42:39 - mmengine - INFO - Epoch(train) [99][1780/3757] lr: 1.0000e-04 eta: 1:03:40 time: 0.7165 data_time: 0.0264 memory: 17350 grad_norm: 9.2317 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0424 loss: 1.0424 2022/07/25 02:42:52 - mmengine - INFO - Epoch(train) [99][1800/3757] lr: 1.0000e-04 eta: 1:03:26 time: 0.6340 data_time: 0.0235 memory: 17350 grad_norm: 9.1431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0225 loss: 1.0225 2022/07/25 02:43:02 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 02:43:06 - mmengine - INFO - Epoch(train) [99][1820/3757] lr: 1.0000e-04 eta: 1:03:13 time: 0.7155 data_time: 0.0293 memory: 17350 grad_norm: 9.2175 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0869 loss: 1.0869 2022/07/25 02:43:18 - mmengine - INFO - Epoch(train) [99][1840/3757] lr: 1.0000e-04 eta: 1:03:00 time: 0.6000 data_time: 0.0230 memory: 17350 grad_norm: 9.0159 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0836 loss: 1.0836 2022/07/25 02:43:33 - mmengine - INFO - Epoch(train) [99][1860/3757] lr: 1.0000e-04 eta: 1:02:46 time: 0.7222 data_time: 0.0244 memory: 17350 grad_norm: 9.2822 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9391 loss: 0.9391 2022/07/25 02:43:45 - mmengine - INFO - Epoch(train) [99][1880/3757] lr: 1.0000e-04 eta: 1:02:33 time: 0.5965 data_time: 0.0238 memory: 17350 grad_norm: 8.9685 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9594 loss: 0.9594 2022/07/25 02:43:59 - mmengine - INFO - Epoch(train) [99][1900/3757] lr: 1.0000e-04 eta: 1:02:20 time: 0.7145 data_time: 0.0237 memory: 17350 grad_norm: 9.1797 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0090 loss: 1.0090 2022/07/25 02:44:11 - mmengine - INFO - Epoch(train) [99][1920/3757] lr: 1.0000e-04 eta: 1:02:06 time: 0.6111 data_time: 0.0402 memory: 17350 grad_norm: 8.6827 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8547 loss: 0.8547 2022/07/25 02:44:26 - mmengine - INFO - Epoch(train) [99][1940/3757] lr: 1.0000e-04 eta: 1:01:53 time: 0.7096 data_time: 0.0271 memory: 17350 grad_norm: 9.3982 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0719 loss: 1.0719 2022/07/25 02:44:38 - mmengine - INFO - Epoch(train) [99][1960/3757] lr: 1.0000e-04 eta: 1:01:40 time: 0.5977 data_time: 0.0217 memory: 17350 grad_norm: 9.3418 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0793 loss: 1.0793 2022/07/25 02:44:53 - mmengine - INFO - Epoch(train) [99][1980/3757] lr: 1.0000e-04 eta: 1:01:26 time: 0.7455 data_time: 0.0254 memory: 17350 grad_norm: 8.9033 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9558 loss: 0.9558 2022/07/25 02:45:05 - mmengine - INFO - Epoch(train) [99][2000/3757] lr: 1.0000e-04 eta: 1:01:13 time: 0.6455 data_time: 0.0246 memory: 17350 grad_norm: 9.1591 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8941 loss: 0.8941 2022/07/25 02:45:20 - mmengine - INFO - Epoch(train) [99][2020/3757] lr: 1.0000e-04 eta: 1:01:00 time: 0.7052 data_time: 0.0255 memory: 17350 grad_norm: 9.1714 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9882 loss: 0.9882 2022/07/25 02:45:31 - mmengine - INFO - Epoch(train) [99][2040/3757] lr: 1.0000e-04 eta: 1:00:46 time: 0.5735 data_time: 0.0230 memory: 17350 grad_norm: 9.2611 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8694 loss: 0.8694 2022/07/25 02:45:46 - mmengine - INFO - Epoch(train) [99][2060/3757] lr: 1.0000e-04 eta: 1:00:33 time: 0.7599 data_time: 0.0233 memory: 17350 grad_norm: 8.9677 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7530 loss: 0.7530 2022/07/25 02:45:58 - mmengine - INFO - Epoch(train) [99][2080/3757] lr: 1.0000e-04 eta: 1:00:20 time: 0.5933 data_time: 0.0250 memory: 17350 grad_norm: 9.1722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1415 loss: 1.1415 2022/07/25 02:46:12 - mmengine - INFO - Epoch(train) [99][2100/3757] lr: 1.0000e-04 eta: 1:00:07 time: 0.7102 data_time: 0.0226 memory: 17350 grad_norm: 9.0922 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7693 loss: 0.7693 2022/07/25 02:46:24 - mmengine - INFO - Epoch(train) [99][2120/3757] lr: 1.0000e-04 eta: 0:59:53 time: 0.5748 data_time: 0.0230 memory: 17350 grad_norm: 9.3952 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0709 loss: 1.0709 2022/07/25 02:46:38 - mmengine - INFO - Epoch(train) [99][2140/3757] lr: 1.0000e-04 eta: 0:59:40 time: 0.7161 data_time: 0.0227 memory: 17350 grad_norm: 9.1178 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8164 loss: 0.8164 2022/07/25 02:46:51 - mmengine - INFO - Epoch(train) [99][2160/3757] lr: 1.0000e-04 eta: 0:59:27 time: 0.6360 data_time: 0.0230 memory: 17350 grad_norm: 9.3312 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8015 loss: 0.8015 2022/07/25 02:47:06 - mmengine - INFO - Epoch(train) [99][2180/3757] lr: 1.0000e-04 eta: 0:59:13 time: 0.7408 data_time: 0.0243 memory: 17350 grad_norm: 9.0112 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8879 loss: 0.8879 2022/07/25 02:47:17 - mmengine - INFO - Epoch(train) [99][2200/3757] lr: 1.0000e-04 eta: 0:59:00 time: 0.5563 data_time: 0.0218 memory: 17350 grad_norm: 9.3227 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8160 loss: 0.8160 2022/07/25 02:47:32 - mmengine - INFO - Epoch(train) [99][2220/3757] lr: 1.0000e-04 eta: 0:58:47 time: 0.7373 data_time: 0.0225 memory: 17350 grad_norm: 9.3169 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1279 loss: 1.1279 2022/07/25 02:47:44 - mmengine - INFO - Epoch(train) [99][2240/3757] lr: 1.0000e-04 eta: 0:58:33 time: 0.6077 data_time: 0.0230 memory: 17350 grad_norm: 9.0059 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2112 loss: 1.2112 2022/07/25 02:47:59 - mmengine - INFO - Epoch(train) [99][2260/3757] lr: 1.0000e-04 eta: 0:58:20 time: 0.7578 data_time: 0.0229 memory: 17350 grad_norm: 9.1885 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7609 loss: 0.7609 2022/07/25 02:48:11 - mmengine - INFO - Epoch(train) [99][2280/3757] lr: 1.0000e-04 eta: 0:58:07 time: 0.5763 data_time: 0.0263 memory: 17350 grad_norm: 9.0922 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7506 loss: 0.7506 2022/07/25 02:48:25 - mmengine - INFO - Epoch(train) [99][2300/3757] lr: 1.0000e-04 eta: 0:57:53 time: 0.7391 data_time: 0.0236 memory: 17350 grad_norm: 9.5115 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9901 loss: 0.9901 2022/07/25 02:48:37 - mmengine - INFO - Epoch(train) [99][2320/3757] lr: 1.0000e-04 eta: 0:57:40 time: 0.5770 data_time: 0.0221 memory: 17350 grad_norm: 8.7944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9260 loss: 0.9260 2022/07/25 02:48:51 - mmengine - INFO - Epoch(train) [99][2340/3757] lr: 1.0000e-04 eta: 0:57:27 time: 0.7112 data_time: 0.0225 memory: 17350 grad_norm: 9.2221 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 0.9534 loss: 0.9534 2022/07/25 02:49:04 - mmengine - INFO - Epoch(train) [99][2360/3757] lr: 1.0000e-04 eta: 0:57:13 time: 0.6244 data_time: 0.0229 memory: 17350 grad_norm: 9.0514 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8347 loss: 0.8347 2022/07/25 02:49:17 - mmengine - INFO - Epoch(train) [99][2380/3757] lr: 1.0000e-04 eta: 0:57:00 time: 0.6815 data_time: 0.0233 memory: 17350 grad_norm: 9.1249 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0707 loss: 1.0707 2022/07/25 02:49:31 - mmengine - INFO - Epoch(train) [99][2400/3757] lr: 1.0000e-04 eta: 0:56:47 time: 0.6721 data_time: 0.0238 memory: 17350 grad_norm: 8.6022 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9428 loss: 0.9428 2022/07/25 02:49:44 - mmengine - INFO - Epoch(train) [99][2420/3757] lr: 1.0000e-04 eta: 0:56:33 time: 0.6565 data_time: 0.0216 memory: 17350 grad_norm: 9.1011 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6726 loss: 0.6726 2022/07/25 02:49:57 - mmengine - INFO - Epoch(train) [99][2440/3757] lr: 1.0000e-04 eta: 0:56:20 time: 0.6504 data_time: 0.0241 memory: 17350 grad_norm: 8.8836 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9089 loss: 0.9089 2022/07/25 02:50:12 - mmengine - INFO - Epoch(train) [99][2460/3757] lr: 1.0000e-04 eta: 0:56:07 time: 0.7253 data_time: 0.0227 memory: 17350 grad_norm: 9.4496 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9553 loss: 0.9553 2022/07/25 02:50:24 - mmengine - INFO - Epoch(train) [99][2480/3757] lr: 1.0000e-04 eta: 0:55:53 time: 0.6022 data_time: 0.0238 memory: 17350 grad_norm: 9.4374 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1542 loss: 1.1542 2022/07/25 02:50:38 - mmengine - INFO - Epoch(train) [99][2500/3757] lr: 1.0000e-04 eta: 0:55:40 time: 0.7179 data_time: 0.0354 memory: 17350 grad_norm: 9.0940 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9904 loss: 0.9904 2022/07/25 02:50:50 - mmengine - INFO - Epoch(train) [99][2520/3757] lr: 1.0000e-04 eta: 0:55:27 time: 0.5987 data_time: 0.0276 memory: 17350 grad_norm: 9.3615 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9917 loss: 0.9917 2022/07/25 02:51:05 - mmengine - INFO - Epoch(train) [99][2540/3757] lr: 1.0000e-04 eta: 0:55:13 time: 0.7463 data_time: 0.0236 memory: 17350 grad_norm: 9.0387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0397 loss: 1.0397 2022/07/25 02:51:17 - mmengine - INFO - Epoch(train) [99][2560/3757] lr: 1.0000e-04 eta: 0:55:00 time: 0.5948 data_time: 0.0256 memory: 17350 grad_norm: 9.2987 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1686 loss: 1.1686 2022/07/25 02:51:31 - mmengine - INFO - Epoch(train) [99][2580/3757] lr: 1.0000e-04 eta: 0:54:47 time: 0.7214 data_time: 0.0227 memory: 17350 grad_norm: 9.2252 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1287 loss: 1.1287 2022/07/25 02:51:43 - mmengine - INFO - Epoch(train) [99][2600/3757] lr: 1.0000e-04 eta: 0:54:33 time: 0.5764 data_time: 0.0241 memory: 17350 grad_norm: 8.9409 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8431 loss: 0.8431 2022/07/25 02:51:58 - mmengine - INFO - Epoch(train) [99][2620/3757] lr: 1.0000e-04 eta: 0:54:20 time: 0.7314 data_time: 0.0239 memory: 17350 grad_norm: 9.3098 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0461 loss: 1.0461 2022/07/25 02:52:10 - mmengine - INFO - Epoch(train) [99][2640/3757] lr: 1.0000e-04 eta: 0:54:07 time: 0.6056 data_time: 0.0258 memory: 17350 grad_norm: 8.6383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8117 loss: 0.8117 2022/07/25 02:52:24 - mmengine - INFO - Epoch(train) [99][2660/3757] lr: 1.0000e-04 eta: 0:53:53 time: 0.6973 data_time: 0.0209 memory: 17350 grad_norm: 8.9047 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8950 loss: 0.8950 2022/07/25 02:52:36 - mmengine - INFO - Epoch(train) [99][2680/3757] lr: 1.0000e-04 eta: 0:53:40 time: 0.6109 data_time: 0.0245 memory: 17350 grad_norm: 9.1119 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0302 loss: 1.0302 2022/07/25 02:52:50 - mmengine - INFO - Epoch(train) [99][2700/3757] lr: 1.0000e-04 eta: 0:53:27 time: 0.7192 data_time: 0.0232 memory: 17350 grad_norm: 9.3336 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9813 loss: 0.9813 2022/07/25 02:53:02 - mmengine - INFO - Epoch(train) [99][2720/3757] lr: 1.0000e-04 eta: 0:53:13 time: 0.5996 data_time: 0.0225 memory: 17350 grad_norm: 9.1812 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0530 loss: 1.0530 2022/07/25 02:53:17 - mmengine - INFO - Epoch(train) [99][2740/3757] lr: 1.0000e-04 eta: 0:53:00 time: 0.7144 data_time: 0.0231 memory: 17350 grad_norm: 8.8049 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8476 loss: 0.8476 2022/07/25 02:53:30 - mmengine - INFO - Epoch(train) [99][2760/3757] lr: 1.0000e-04 eta: 0:52:47 time: 0.6610 data_time: 0.0247 memory: 17350 grad_norm: 8.9090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9665 loss: 0.9665 2022/07/25 02:53:44 - mmengine - INFO - Epoch(train) [99][2780/3757] lr: 1.0000e-04 eta: 0:52:33 time: 0.6889 data_time: 0.0241 memory: 17350 grad_norm: 9.0853 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9696 loss: 0.9696 2022/07/25 02:53:56 - mmengine - INFO - Epoch(train) [99][2800/3757] lr: 1.0000e-04 eta: 0:52:20 time: 0.6366 data_time: 0.0220 memory: 17350 grad_norm: 8.8324 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6195 loss: 0.6195 2022/07/25 02:54:06 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 02:54:10 - mmengine - INFO - Epoch(train) [99][2820/3757] lr: 1.0000e-04 eta: 0:52:07 time: 0.6806 data_time: 0.0263 memory: 17350 grad_norm: 9.4690 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9519 loss: 0.9519 2022/07/25 02:54:22 - mmengine - INFO - Epoch(train) [99][2840/3757] lr: 1.0000e-04 eta: 0:51:53 time: 0.6227 data_time: 0.0225 memory: 17350 grad_norm: 9.3420 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9377 loss: 0.9377 2022/07/25 02:54:37 - mmengine - INFO - Epoch(train) [99][2860/3757] lr: 1.0000e-04 eta: 0:51:40 time: 0.7302 data_time: 0.0254 memory: 17350 grad_norm: 8.7117 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.6997 loss: 0.6997 2022/07/25 02:54:49 - mmengine - INFO - Epoch(train) [99][2880/3757] lr: 1.0000e-04 eta: 0:51:27 time: 0.6111 data_time: 0.0245 memory: 17350 grad_norm: 9.2481 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0732 loss: 1.0732 2022/07/25 02:55:04 - mmengine - INFO - Epoch(train) [99][2900/3757] lr: 1.0000e-04 eta: 0:51:14 time: 0.7377 data_time: 0.0252 memory: 17350 grad_norm: 9.1489 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9391 loss: 0.9391 2022/07/25 02:55:17 - mmengine - INFO - Epoch(train) [99][2920/3757] lr: 1.0000e-04 eta: 0:51:00 time: 0.6183 data_time: 0.0253 memory: 17350 grad_norm: 9.0849 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7359 loss: 0.7359 2022/07/25 02:55:31 - mmengine - INFO - Epoch(train) [99][2940/3757] lr: 1.0000e-04 eta: 0:50:47 time: 0.7000 data_time: 0.0249 memory: 17350 grad_norm: 8.8701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9720 loss: 0.9720 2022/07/25 02:55:42 - mmengine - INFO - Epoch(train) [99][2960/3757] lr: 1.0000e-04 eta: 0:50:34 time: 0.5847 data_time: 0.0221 memory: 17350 grad_norm: 9.3697 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0505 loss: 1.0505 2022/07/25 02:55:57 - mmengine - INFO - Epoch(train) [99][2980/3757] lr: 1.0000e-04 eta: 0:50:20 time: 0.7210 data_time: 0.0242 memory: 17350 grad_norm: 9.3158 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7962 loss: 0.7962 2022/07/25 02:56:09 - mmengine - INFO - Epoch(train) [99][3000/3757] lr: 1.0000e-04 eta: 0:50:07 time: 0.6085 data_time: 0.0244 memory: 17350 grad_norm: 9.3221 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8812 loss: 0.8812 2022/07/25 02:56:24 - mmengine - INFO - Epoch(train) [99][3020/3757] lr: 1.0000e-04 eta: 0:49:54 time: 0.7359 data_time: 0.0175 memory: 17350 grad_norm: 9.2523 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0375 loss: 1.0375 2022/07/25 02:56:36 - mmengine - INFO - Epoch(train) [99][3040/3757] lr: 1.0000e-04 eta: 0:49:40 time: 0.6071 data_time: 0.0224 memory: 17350 grad_norm: 9.1009 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2204 loss: 1.2204 2022/07/25 02:56:50 - mmengine - INFO - Epoch(train) [99][3060/3757] lr: 1.0000e-04 eta: 0:49:27 time: 0.7125 data_time: 0.0230 memory: 17350 grad_norm: 9.3537 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9991 loss: 0.9991 2022/07/25 02:57:02 - mmengine - INFO - Epoch(train) [99][3080/3757] lr: 1.0000e-04 eta: 0:49:14 time: 0.5798 data_time: 0.0250 memory: 17350 grad_norm: 9.1902 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1504 loss: 1.1504 2022/07/25 02:57:16 - mmengine - INFO - Epoch(train) [99][3100/3757] lr: 1.0000e-04 eta: 0:49:00 time: 0.7344 data_time: 0.0262 memory: 17350 grad_norm: 9.1972 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8285 loss: 0.8285 2022/07/25 02:57:28 - mmengine - INFO - Epoch(train) [99][3120/3757] lr: 1.0000e-04 eta: 0:48:47 time: 0.5720 data_time: 0.0259 memory: 17350 grad_norm: 9.2232 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8544 loss: 0.8544 2022/07/25 02:57:43 - mmengine - INFO - Epoch(train) [99][3140/3757] lr: 1.0000e-04 eta: 0:48:34 time: 0.7366 data_time: 0.0233 memory: 17350 grad_norm: 9.4976 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9891 loss: 0.9891 2022/07/25 02:57:54 - mmengine - INFO - Epoch(train) [99][3160/3757] lr: 1.0000e-04 eta: 0:48:20 time: 0.5886 data_time: 0.0241 memory: 17350 grad_norm: 9.5829 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9711 loss: 0.9711 2022/07/25 02:58:09 - mmengine - INFO - Epoch(train) [99][3180/3757] lr: 1.0000e-04 eta: 0:48:07 time: 0.7155 data_time: 0.0287 memory: 17350 grad_norm: 9.2834 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0100 loss: 1.0100 2022/07/25 02:58:22 - mmengine - INFO - Epoch(train) [99][3200/3757] lr: 1.0000e-04 eta: 0:47:54 time: 0.6458 data_time: 0.0440 memory: 17350 grad_norm: 9.0065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9549 loss: 0.9549 2022/07/25 02:58:36 - mmengine - INFO - Epoch(train) [99][3220/3757] lr: 1.0000e-04 eta: 0:47:40 time: 0.7210 data_time: 0.0621 memory: 17350 grad_norm: 9.2118 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2742 loss: 1.2742 2022/07/25 02:58:48 - mmengine - INFO - Epoch(train) [99][3240/3757] lr: 1.0000e-04 eta: 0:47:27 time: 0.6087 data_time: 0.0190 memory: 17350 grad_norm: 9.0094 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0223 loss: 1.0223 2022/07/25 02:59:03 - mmengine - INFO - Epoch(train) [99][3260/3757] lr: 1.0000e-04 eta: 0:47:14 time: 0.7343 data_time: 0.0235 memory: 17350 grad_norm: 8.8096 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7863 loss: 0.7863 2022/07/25 02:59:15 - mmengine - INFO - Epoch(train) [99][3280/3757] lr: 1.0000e-04 eta: 0:47:00 time: 0.5961 data_time: 0.0238 memory: 17350 grad_norm: 8.8512 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9499 loss: 0.9499 2022/07/25 02:59:29 - mmengine - INFO - Epoch(train) [99][3300/3757] lr: 1.0000e-04 eta: 0:46:47 time: 0.7238 data_time: 0.0290 memory: 17350 grad_norm: 9.7703 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0896 loss: 1.0896 2022/07/25 02:59:42 - mmengine - INFO - Epoch(train) [99][3320/3757] lr: 1.0000e-04 eta: 0:46:34 time: 0.6108 data_time: 0.0248 memory: 17350 grad_norm: 9.4142 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1296 loss: 1.1296 2022/07/25 02:59:56 - mmengine - INFO - Epoch(train) [99][3340/3757] lr: 1.0000e-04 eta: 0:46:20 time: 0.7064 data_time: 0.0259 memory: 17350 grad_norm: 9.2730 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9155 loss: 0.9155 2022/07/25 03:00:09 - mmengine - INFO - Epoch(train) [99][3360/3757] lr: 1.0000e-04 eta: 0:46:07 time: 0.6504 data_time: 0.0245 memory: 17350 grad_norm: 9.4233 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9141 loss: 0.9141 2022/07/25 03:00:23 - mmengine - INFO - Epoch(train) [99][3380/3757] lr: 1.0000e-04 eta: 0:45:54 time: 0.6998 data_time: 0.0236 memory: 17350 grad_norm: 9.1923 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6479 loss: 0.6479 2022/07/25 03:00:35 - mmengine - INFO - Epoch(train) [99][3400/3757] lr: 1.0000e-04 eta: 0:45:40 time: 0.5817 data_time: 0.0315 memory: 17350 grad_norm: 9.1035 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8214 loss: 0.8214 2022/07/25 03:00:50 - mmengine - INFO - Epoch(train) [99][3420/3757] lr: 1.0000e-04 eta: 0:45:27 time: 0.7741 data_time: 0.1234 memory: 17350 grad_norm: 9.3986 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7903 loss: 0.7903 2022/07/25 03:01:02 - mmengine - INFO - Epoch(train) [99][3440/3757] lr: 1.0000e-04 eta: 0:45:14 time: 0.6106 data_time: 0.1691 memory: 17350 grad_norm: 8.7998 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8711 loss: 0.8711 2022/07/25 03:01:16 - mmengine - INFO - Epoch(train) [99][3460/3757] lr: 1.0000e-04 eta: 0:45:00 time: 0.7031 data_time: 0.1529 memory: 17350 grad_norm: 9.0604 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9854 loss: 0.9854 2022/07/25 03:01:28 - mmengine - INFO - Epoch(train) [99][3480/3757] lr: 1.0000e-04 eta: 0:44:47 time: 0.5897 data_time: 0.1210 memory: 17350 grad_norm: 9.2403 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9276 loss: 0.9276 2022/07/25 03:01:42 - mmengine - INFO - Epoch(train) [99][3500/3757] lr: 1.0000e-04 eta: 0:44:34 time: 0.7127 data_time: 0.0859 memory: 17350 grad_norm: 8.6903 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9345 loss: 0.9345 2022/07/25 03:01:55 - mmengine - INFO - Epoch(train) [99][3520/3757] lr: 1.0000e-04 eta: 0:44:20 time: 0.6207 data_time: 0.0583 memory: 17350 grad_norm: 9.2352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0490 loss: 1.0490 2022/07/25 03:02:09 - mmengine - INFO - Epoch(train) [99][3540/3757] lr: 1.0000e-04 eta: 0:44:07 time: 0.7244 data_time: 0.1391 memory: 17350 grad_norm: 9.2091 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0151 loss: 1.0151 2022/07/25 03:02:21 - mmengine - INFO - Epoch(train) [99][3560/3757] lr: 1.0000e-04 eta: 0:43:54 time: 0.5553 data_time: 0.0569 memory: 17350 grad_norm: 9.3524 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1756 loss: 1.1756 2022/07/25 03:02:35 - mmengine - INFO - Epoch(train) [99][3580/3757] lr: 1.0000e-04 eta: 0:43:40 time: 0.7404 data_time: 0.0840 memory: 17350 grad_norm: 8.8079 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8794 loss: 0.8794 2022/07/25 03:02:47 - mmengine - INFO - Epoch(train) [99][3600/3757] lr: 1.0000e-04 eta: 0:43:27 time: 0.5912 data_time: 0.0370 memory: 17350 grad_norm: 9.1232 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1610 loss: 1.1610 2022/07/25 03:03:02 - mmengine - INFO - Epoch(train) [99][3620/3757] lr: 1.0000e-04 eta: 0:43:14 time: 0.7278 data_time: 0.0944 memory: 17350 grad_norm: 9.1347 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0833 loss: 1.0833 2022/07/25 03:03:14 - mmengine - INFO - Epoch(train) [99][3640/3757] lr: 1.0000e-04 eta: 0:43:00 time: 0.6084 data_time: 0.1289 memory: 17350 grad_norm: 9.0823 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2201 loss: 1.2201 2022/07/25 03:03:28 - mmengine - INFO - Epoch(train) [99][3660/3757] lr: 1.0000e-04 eta: 0:42:47 time: 0.7177 data_time: 0.2098 memory: 17350 grad_norm: 9.2494 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8776 loss: 0.8776 2022/07/25 03:03:41 - mmengine - INFO - Epoch(train) [99][3680/3757] lr: 1.0000e-04 eta: 0:42:34 time: 0.6310 data_time: 0.1636 memory: 17350 grad_norm: 9.3072 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0697 loss: 1.0697 2022/07/25 03:03:55 - mmengine - INFO - Epoch(train) [99][3700/3757] lr: 1.0000e-04 eta: 0:42:20 time: 0.7003 data_time: 0.2852 memory: 17350 grad_norm: 9.3346 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8018 loss: 0.8018 2022/07/25 03:04:07 - mmengine - INFO - Epoch(train) [99][3720/3757] lr: 1.0000e-04 eta: 0:42:07 time: 0.6202 data_time: 0.2678 memory: 17350 grad_norm: 9.1485 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2829 loss: 1.2829 2022/07/25 03:04:22 - mmengine - INFO - Epoch(train) [99][3740/3757] lr: 1.0000e-04 eta: 0:41:54 time: 0.7514 data_time: 0.3986 memory: 17350 grad_norm: 9.1909 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9540 loss: 0.9540 2022/07/25 03:04:30 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 03:04:30 - mmengine - INFO - Epoch(train) [99][3757/3757] lr: 1.0000e-04 eta: 0:41:54 time: 0.5698 data_time: 0.2425 memory: 17350 grad_norm: 9.0787 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.0505 loss: 1.0505 2022/07/25 03:04:47 - mmengine - INFO - Epoch(val) [99][20/310] eta: 0:04:02 time: 0.8362 data_time: 0.7200 memory: 3406 2022/07/25 03:04:57 - mmengine - INFO - Epoch(val) [99][40/310] eta: 0:02:18 time: 0.5139 data_time: 0.4006 memory: 3406 2022/07/25 03:05:13 - mmengine - INFO - Epoch(val) [99][60/310] eta: 0:03:14 time: 0.7774 data_time: 0.6598 memory: 3406 2022/07/25 03:05:24 - mmengine - INFO - Epoch(val) [99][80/310] eta: 0:02:13 time: 0.5798 data_time: 0.4668 memory: 3406 2022/07/25 03:05:39 - mmengine - INFO - Epoch(val) [99][100/310] eta: 0:02:33 time: 0.7296 data_time: 0.6160 memory: 3406 2022/07/25 03:05:51 - mmengine - INFO - Epoch(val) [99][120/310] eta: 0:01:55 time: 0.6055 data_time: 0.4916 memory: 3406 2022/07/25 03:06:05 - mmengine - INFO - Epoch(val) [99][140/310] eta: 0:01:56 time: 0.6879 data_time: 0.5747 memory: 3406 2022/07/25 03:06:17 - mmengine - INFO - Epoch(val) [99][160/310] eta: 0:01:31 time: 0.6114 data_time: 0.4973 memory: 3406 2022/07/25 03:06:31 - mmengine - INFO - Epoch(val) [99][180/310] eta: 0:01:29 time: 0.6851 data_time: 0.5683 memory: 3406 2022/07/25 03:06:44 - mmengine - INFO - Epoch(val) [99][200/310] eta: 0:01:13 time: 0.6685 data_time: 0.5553 memory: 3406 2022/07/25 03:06:57 - mmengine - INFO - Epoch(val) [99][220/310] eta: 0:00:58 time: 0.6522 data_time: 0.5357 memory: 3406 2022/07/25 03:07:10 - mmengine - INFO - Epoch(val) [99][240/310] eta: 0:00:45 time: 0.6516 data_time: 0.5392 memory: 3406 2022/07/25 03:07:23 - mmengine - INFO - Epoch(val) [99][260/310] eta: 0:00:32 time: 0.6543 data_time: 0.5393 memory: 3406 2022/07/25 03:07:36 - mmengine - INFO - Epoch(val) [99][280/310] eta: 0:00:19 time: 0.6596 data_time: 0.5356 memory: 3406 2022/07/25 03:07:49 - mmengine - INFO - Epoch(val) [99][300/310] eta: 0:00:06 time: 0.6557 data_time: 0.5400 memory: 3406 2022/07/25 03:07:56 - mmengine - INFO - Epoch(val) [99][310/310] acc/top1: 0.6928 acc/top5: 0.8802 acc/mean1: 0.6928 2022/07/25 03:07:56 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_93.pth is removed 2022/07/25 03:07:58 - mmengine - INFO - The best checkpoint with 0.6928 acc/top1 at 100 epoch is saved to best_acc/top1_epoch_100.pth. 2022/07/25 03:08:15 - mmengine - INFO - Epoch(train) [100][20/3757] lr: 1.0000e-04 eta: 0:41:29 time: 0.8729 data_time: 0.5376 memory: 17350 grad_norm: 9.1611 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9965 loss: 0.9965 2022/07/25 03:08:27 - mmengine - INFO - Epoch(train) [100][40/3757] lr: 1.0000e-04 eta: 0:41:16 time: 0.5995 data_time: 0.2568 memory: 17350 grad_norm: 9.3131 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0396 loss: 1.0396 2022/07/25 03:08:41 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 03:08:42 - mmengine - INFO - Epoch(train) [100][60/3757] lr: 1.0000e-04 eta: 0:41:02 time: 0.7227 data_time: 0.3859 memory: 17350 grad_norm: 9.3990 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0432 loss: 1.0432 2022/07/25 03:08:54 - mmengine - INFO - Epoch(train) [100][80/3757] lr: 1.0000e-04 eta: 0:40:49 time: 0.5907 data_time: 0.2562 memory: 17350 grad_norm: 9.0618 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8432 loss: 0.8432 2022/07/25 03:09:09 - mmengine - INFO - Epoch(train) [100][100/3757] lr: 1.0000e-04 eta: 0:40:36 time: 0.7688 data_time: 0.4271 memory: 17350 grad_norm: 9.4923 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2323 loss: 1.2323 2022/07/25 03:09:21 - mmengine - INFO - Epoch(train) [100][120/3757] lr: 1.0000e-04 eta: 0:40:22 time: 0.6063 data_time: 0.2694 memory: 17350 grad_norm: 9.3693 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9359 loss: 0.9359 2022/07/25 03:09:35 - mmengine - INFO - Epoch(train) [100][140/3757] lr: 1.0000e-04 eta: 0:40:09 time: 0.7120 data_time: 0.3754 memory: 17350 grad_norm: 9.1057 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0386 loss: 1.0386 2022/07/25 03:09:48 - mmengine - INFO - Epoch(train) [100][160/3757] lr: 1.0000e-04 eta: 0:39:56 time: 0.6116 data_time: 0.2731 memory: 17350 grad_norm: 9.0324 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8959 loss: 0.8959 2022/07/25 03:10:01 - mmengine - INFO - Epoch(train) [100][180/3757] lr: 1.0000e-04 eta: 0:39:43 time: 0.6801 data_time: 0.3440 memory: 17350 grad_norm: 8.9973 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9601 loss: 0.9601 2022/07/25 03:10:14 - mmengine - INFO - Epoch(train) [100][200/3757] lr: 1.0000e-04 eta: 0:39:29 time: 0.6308 data_time: 0.2920 memory: 17350 grad_norm: 9.3136 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9550 loss: 0.9550 2022/07/25 03:10:29 - mmengine - INFO - Epoch(train) [100][220/3757] lr: 1.0000e-04 eta: 0:39:16 time: 0.7390 data_time: 0.4005 memory: 17350 grad_norm: 8.8993 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9045 loss: 0.9045 2022/07/25 03:10:41 - mmengine - INFO - Epoch(train) [100][240/3757] lr: 1.0000e-04 eta: 0:39:03 time: 0.6098 data_time: 0.2697 memory: 17350 grad_norm: 9.1858 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 0.9308 loss: 0.9308 2022/07/25 03:10:55 - mmengine - INFO - Epoch(train) [100][260/3757] lr: 1.0000e-04 eta: 0:38:49 time: 0.7134 data_time: 0.3806 memory: 17350 grad_norm: 9.2381 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1189 loss: 1.1189 2022/07/25 03:11:08 - mmengine - INFO - Epoch(train) [100][280/3757] lr: 1.0000e-04 eta: 0:38:36 time: 0.6217 data_time: 0.2730 memory: 17350 grad_norm: 9.3059 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7669 loss: 0.7669 2022/07/25 03:11:22 - mmengine - INFO - Epoch(train) [100][300/3757] lr: 1.0000e-04 eta: 0:38:23 time: 0.7298 data_time: 0.3784 memory: 17350 grad_norm: 9.6024 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9553 loss: 0.9553 2022/07/25 03:11:35 - mmengine - INFO - Epoch(train) [100][320/3757] lr: 1.0000e-04 eta: 0:38:09 time: 0.6127 data_time: 0.2746 memory: 17350 grad_norm: 9.4821 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0310 loss: 1.0310 2022/07/25 03:11:48 - mmengine - INFO - Epoch(train) [100][340/3757] lr: 1.0000e-04 eta: 0:37:56 time: 0.6895 data_time: 0.3538 memory: 17350 grad_norm: 9.3847 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9759 loss: 0.9759 2022/07/25 03:12:00 - mmengine - INFO - Epoch(train) [100][360/3757] lr: 1.0000e-04 eta: 0:37:43 time: 0.5986 data_time: 0.2600 memory: 17350 grad_norm: 9.2034 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9602 loss: 0.9602 2022/07/25 03:12:14 - mmengine - INFO - Epoch(train) [100][380/3757] lr: 1.0000e-04 eta: 0:37:29 time: 0.7000 data_time: 0.3707 memory: 17350 grad_norm: 9.4046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2021 loss: 1.2021 2022/07/25 03:12:27 - mmengine - INFO - Epoch(train) [100][400/3757] lr: 1.0000e-04 eta: 0:37:16 time: 0.6385 data_time: 0.2860 memory: 17350 grad_norm: 8.7559 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9210 loss: 0.9210 2022/07/25 03:12:41 - mmengine - INFO - Epoch(train) [100][420/3757] lr: 1.0000e-04 eta: 0:37:03 time: 0.6860 data_time: 0.3590 memory: 17350 grad_norm: 8.6021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8526 loss: 0.8526 2022/07/25 03:12:53 - mmengine - INFO - Epoch(train) [100][440/3757] lr: 1.0000e-04 eta: 0:36:49 time: 0.6279 data_time: 0.2979 memory: 17350 grad_norm: 9.0645 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6639 loss: 0.6639 2022/07/25 03:13:07 - mmengine - INFO - Epoch(train) [100][460/3757] lr: 1.0000e-04 eta: 0:36:36 time: 0.6978 data_time: 0.3438 memory: 17350 grad_norm: 9.2538 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0457 loss: 1.0457 2022/07/25 03:13:20 - mmengine - INFO - Epoch(train) [100][480/3757] lr: 1.0000e-04 eta: 0:36:23 time: 0.6165 data_time: 0.2781 memory: 17350 grad_norm: 9.0983 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8878 loss: 0.8878 2022/07/25 03:13:34 - mmengine - INFO - Epoch(train) [100][500/3757] lr: 1.0000e-04 eta: 0:36:09 time: 0.7043 data_time: 0.3639 memory: 17350 grad_norm: 9.1882 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9879 loss: 0.9879 2022/07/25 03:13:46 - mmengine - INFO - Epoch(train) [100][520/3757] lr: 1.0000e-04 eta: 0:35:56 time: 0.5867 data_time: 0.2317 memory: 17350 grad_norm: 8.9007 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9247 loss: 0.9247 2022/07/25 03:14:00 - mmengine - INFO - Epoch(train) [100][540/3757] lr: 1.0000e-04 eta: 0:35:43 time: 0.7005 data_time: 0.3521 memory: 17350 grad_norm: 9.4725 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8055 loss: 0.8055 2022/07/25 03:14:13 - mmengine - INFO - Epoch(train) [100][560/3757] lr: 1.0000e-04 eta: 0:35:29 time: 0.6545 data_time: 0.1861 memory: 17350 grad_norm: 9.1924 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1749 loss: 1.1749 2022/07/25 03:14:26 - mmengine - INFO - Epoch(train) [100][580/3757] lr: 1.0000e-04 eta: 0:35:16 time: 0.6639 data_time: 0.2248 memory: 17350 grad_norm: 9.2530 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0974 loss: 1.0974 2022/07/25 03:14:39 - mmengine - INFO - Epoch(train) [100][600/3757] lr: 1.0000e-04 eta: 0:35:03 time: 0.6590 data_time: 0.1872 memory: 17350 grad_norm: 9.1971 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0142 loss: 1.0142 2022/07/25 03:14:53 - mmengine - INFO - Epoch(train) [100][620/3757] lr: 1.0000e-04 eta: 0:34:49 time: 0.6890 data_time: 0.2608 memory: 17350 grad_norm: 9.0554 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8585 loss: 0.8585 2022/07/25 03:15:06 - mmengine - INFO - Epoch(train) [100][640/3757] lr: 1.0000e-04 eta: 0:34:36 time: 0.6576 data_time: 0.2364 memory: 17350 grad_norm: 9.0337 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8225 loss: 0.8225 2022/07/25 03:15:21 - mmengine - INFO - Epoch(train) [100][660/3757] lr: 1.0000e-04 eta: 0:34:23 time: 0.7428 data_time: 0.3824 memory: 17350 grad_norm: 9.2052 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0449 loss: 1.0449 2022/07/25 03:15:34 - mmengine - INFO - Epoch(train) [100][680/3757] lr: 1.0000e-04 eta: 0:34:09 time: 0.6230 data_time: 0.2631 memory: 17350 grad_norm: 8.7787 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0398 loss: 1.0398 2022/07/25 03:15:47 - mmengine - INFO - Epoch(train) [100][700/3757] lr: 1.0000e-04 eta: 0:33:56 time: 0.6748 data_time: 0.3236 memory: 17350 grad_norm: 9.1812 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 0.7915 loss: 0.7915 2022/07/25 03:16:01 - mmengine - INFO - Epoch(train) [100][720/3757] lr: 1.0000e-04 eta: 0:33:43 time: 0.6772 data_time: 0.1754 memory: 17350 grad_norm: 9.4241 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9577 loss: 0.9577 2022/07/25 03:16:14 - mmengine - INFO - Epoch(train) [100][740/3757] lr: 1.0000e-04 eta: 0:33:29 time: 0.6610 data_time: 0.1775 memory: 17350 grad_norm: 8.9687 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8562 loss: 0.8562 2022/07/25 03:16:27 - mmengine - INFO - Epoch(train) [100][760/3757] lr: 1.0000e-04 eta: 0:33:16 time: 0.6596 data_time: 0.1503 memory: 17350 grad_norm: 9.1911 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9086 loss: 0.9086 2022/07/25 03:16:41 - mmengine - INFO - Epoch(train) [100][780/3757] lr: 1.0000e-04 eta: 0:33:03 time: 0.6794 data_time: 0.2710 memory: 17350 grad_norm: 9.2328 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9606 loss: 0.9606 2022/07/25 03:16:54 - mmengine - INFO - Epoch(train) [100][800/3757] lr: 1.0000e-04 eta: 0:32:49 time: 0.6524 data_time: 0.2293 memory: 17350 grad_norm: 9.1145 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2451 loss: 1.2451 2022/07/25 03:17:07 - mmengine - INFO - Epoch(train) [100][820/3757] lr: 1.0000e-04 eta: 0:32:36 time: 0.6674 data_time: 0.2420 memory: 17350 grad_norm: 9.2035 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1179 loss: 1.1179 2022/07/25 03:17:21 - mmengine - INFO - Epoch(train) [100][840/3757] lr: 1.0000e-04 eta: 0:32:23 time: 0.6858 data_time: 0.0786 memory: 17350 grad_norm: 9.7091 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9855 loss: 0.9855 2022/07/25 03:17:33 - mmengine - INFO - Epoch(train) [100][860/3757] lr: 1.0000e-04 eta: 0:32:09 time: 0.6197 data_time: 0.0606 memory: 17350 grad_norm: 9.0107 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9426 loss: 0.9426 2022/07/25 03:17:48 - mmengine - INFO - Epoch(train) [100][880/3757] lr: 1.0000e-04 eta: 0:31:56 time: 0.7496 data_time: 0.0450 memory: 17350 grad_norm: 9.0989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9162 loss: 0.9162 2022/07/25 03:18:00 - mmengine - INFO - Epoch(train) [100][900/3757] lr: 1.0000e-04 eta: 0:31:43 time: 0.5796 data_time: 0.0240 memory: 17350 grad_norm: 9.2423 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8336 loss: 0.8336 2022/07/25 03:18:14 - mmengine - INFO - Epoch(train) [100][920/3757] lr: 1.0000e-04 eta: 0:31:30 time: 0.6966 data_time: 0.0224 memory: 17350 grad_norm: 8.7682 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9588 loss: 0.9588 2022/07/25 03:18:27 - mmengine - INFO - Epoch(train) [100][940/3757] lr: 1.0000e-04 eta: 0:31:16 time: 0.6511 data_time: 0.1124 memory: 17350 grad_norm: 8.7682 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7794 loss: 0.7794 2022/07/25 03:18:40 - mmengine - INFO - Epoch(train) [100][960/3757] lr: 1.0000e-04 eta: 0:31:03 time: 0.6488 data_time: 0.1385 memory: 17350 grad_norm: 9.4050 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2033 loss: 1.2033 2022/07/25 03:18:54 - mmengine - INFO - Epoch(train) [100][980/3757] lr: 1.0000e-04 eta: 0:30:50 time: 0.6876 data_time: 0.2242 memory: 17350 grad_norm: 9.4981 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9575 loss: 0.9575 2022/07/25 03:19:07 - mmengine - INFO - Epoch(train) [100][1000/3757] lr: 1.0000e-04 eta: 0:30:36 time: 0.6486 data_time: 0.1004 memory: 17350 grad_norm: 9.3297 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0997 loss: 1.0997 2022/07/25 03:19:20 - mmengine - INFO - Epoch(train) [100][1020/3757] lr: 1.0000e-04 eta: 0:30:23 time: 0.6775 data_time: 0.0517 memory: 17350 grad_norm: 9.4047 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1391 loss: 1.1391 2022/07/25 03:19:34 - mmengine - INFO - Epoch(train) [100][1040/3757] lr: 1.0000e-04 eta: 0:30:10 time: 0.6876 data_time: 0.0210 memory: 17350 grad_norm: 9.3868 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1746 loss: 1.1746 2022/07/25 03:19:44 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 03:19:47 - mmengine - INFO - Epoch(train) [100][1060/3757] lr: 1.0000e-04 eta: 0:29:56 time: 0.6665 data_time: 0.0248 memory: 17350 grad_norm: 9.2722 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9629 loss: 0.9629 2022/07/25 03:20:00 - mmengine - INFO - Epoch(train) [100][1080/3757] lr: 1.0000e-04 eta: 0:29:43 time: 0.6147 data_time: 0.0213 memory: 17350 grad_norm: 9.2425 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0552 loss: 1.0552 2022/07/25 03:20:15 - mmengine - INFO - Epoch(train) [100][1100/3757] lr: 1.0000e-04 eta: 0:29:30 time: 0.7581 data_time: 0.0235 memory: 17350 grad_norm: 8.9458 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2111 loss: 1.2111 2022/07/25 03:20:26 - mmengine - INFO - Epoch(train) [100][1120/3757] lr: 1.0000e-04 eta: 0:29:16 time: 0.5755 data_time: 0.0239 memory: 17350 grad_norm: 9.4499 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7649 loss: 0.7649 2022/07/25 03:20:41 - mmengine - INFO - Epoch(train) [100][1140/3757] lr: 1.0000e-04 eta: 0:29:03 time: 0.7470 data_time: 0.0231 memory: 17350 grad_norm: 9.4367 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0283 loss: 1.0283 2022/07/25 03:20:54 - mmengine - INFO - Epoch(train) [100][1160/3757] lr: 1.0000e-04 eta: 0:28:50 time: 0.6070 data_time: 0.0248 memory: 17350 grad_norm: 8.9270 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9967 loss: 0.9967 2022/07/25 03:21:08 - mmengine - INFO - Epoch(train) [100][1180/3757] lr: 1.0000e-04 eta: 0:28:36 time: 0.7246 data_time: 0.0229 memory: 17350 grad_norm: 9.3252 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9718 loss: 0.9718 2022/07/25 03:21:20 - mmengine - INFO - Epoch(train) [100][1200/3757] lr: 1.0000e-04 eta: 0:28:23 time: 0.6072 data_time: 0.0238 memory: 17350 grad_norm: 8.7654 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9702 loss: 0.9702 2022/07/25 03:21:35 - mmengine - INFO - Epoch(train) [100][1220/3757] lr: 1.0000e-04 eta: 0:28:10 time: 0.7402 data_time: 0.0252 memory: 17350 grad_norm: 8.8007 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1520 loss: 1.1520 2022/07/25 03:21:47 - mmengine - INFO - Epoch(train) [100][1240/3757] lr: 1.0000e-04 eta: 0:27:56 time: 0.5704 data_time: 0.0233 memory: 17350 grad_norm: 9.2342 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8525 loss: 0.8525 2022/07/25 03:22:01 - mmengine - INFO - Epoch(train) [100][1260/3757] lr: 1.0000e-04 eta: 0:27:43 time: 0.7142 data_time: 0.0229 memory: 17350 grad_norm: 9.2457 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1005 loss: 1.1005 2022/07/25 03:22:13 - mmengine - INFO - Epoch(train) [100][1280/3757] lr: 1.0000e-04 eta: 0:27:30 time: 0.6058 data_time: 0.0242 memory: 17350 grad_norm: 8.9648 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8555 loss: 0.8555 2022/07/25 03:22:27 - mmengine - INFO - Epoch(train) [100][1300/3757] lr: 1.0000e-04 eta: 0:27:16 time: 0.7024 data_time: 0.0220 memory: 17350 grad_norm: 9.3515 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1294 loss: 1.1294 2022/07/25 03:22:40 - mmengine - INFO - Epoch(train) [100][1320/3757] lr: 1.0000e-04 eta: 0:27:03 time: 0.6239 data_time: 0.0224 memory: 17350 grad_norm: 8.8988 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9910 loss: 0.9910 2022/07/25 03:22:53 - mmengine - INFO - Epoch(train) [100][1340/3757] lr: 1.0000e-04 eta: 0:26:50 time: 0.6765 data_time: 0.0248 memory: 17350 grad_norm: 9.1440 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0069 loss: 1.0069 2022/07/25 03:23:06 - mmengine - INFO - Epoch(train) [100][1360/3757] lr: 1.0000e-04 eta: 0:26:36 time: 0.6486 data_time: 0.0226 memory: 17350 grad_norm: 9.3007 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9612 loss: 0.9612 2022/07/25 03:23:20 - mmengine - INFO - Epoch(train) [100][1380/3757] lr: 1.0000e-04 eta: 0:26:23 time: 0.6779 data_time: 0.0226 memory: 17350 grad_norm: 9.0919 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0464 loss: 1.0464 2022/07/25 03:23:34 - mmengine - INFO - Epoch(train) [100][1400/3757] lr: 1.0000e-04 eta: 0:26:10 time: 0.6945 data_time: 0.0211 memory: 17350 grad_norm: 9.3182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9604 loss: 0.9604 2022/07/25 03:23:46 - mmengine - INFO - Epoch(train) [100][1420/3757] lr: 1.0000e-04 eta: 0:25:56 time: 0.6171 data_time: 0.0217 memory: 17350 grad_norm: 9.2534 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8789 loss: 0.8789 2022/07/25 03:24:00 - mmengine - INFO - Epoch(train) [100][1440/3757] lr: 1.0000e-04 eta: 0:25:43 time: 0.7042 data_time: 0.0224 memory: 17350 grad_norm: 9.2117 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8382 loss: 0.8382 2022/07/25 03:24:12 - mmengine - INFO - Epoch(train) [100][1460/3757] lr: 1.0000e-04 eta: 0:25:30 time: 0.6081 data_time: 0.0225 memory: 17350 grad_norm: 9.3015 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8824 loss: 0.8824 2022/07/25 03:24:27 - mmengine - INFO - Epoch(train) [100][1480/3757] lr: 1.0000e-04 eta: 0:25:16 time: 0.7592 data_time: 0.0225 memory: 17350 grad_norm: 9.2432 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8918 loss: 0.8918 2022/07/25 03:24:39 - mmengine - INFO - Epoch(train) [100][1500/3757] lr: 1.0000e-04 eta: 0:25:03 time: 0.5899 data_time: 0.0222 memory: 17350 grad_norm: 8.6501 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9311 loss: 0.9311 2022/07/25 03:24:54 - mmengine - INFO - Epoch(train) [100][1520/3757] lr: 1.0000e-04 eta: 0:24:50 time: 0.7233 data_time: 0.0219 memory: 17350 grad_norm: 8.6906 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0377 loss: 1.0377 2022/07/25 03:25:06 - mmengine - INFO - Epoch(train) [100][1540/3757] lr: 1.0000e-04 eta: 0:24:36 time: 0.6085 data_time: 0.0231 memory: 17350 grad_norm: 9.1782 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9792 loss: 0.9792 2022/07/25 03:25:21 - mmengine - INFO - Epoch(train) [100][1560/3757] lr: 1.0000e-04 eta: 0:24:23 time: 0.7267 data_time: 0.0221 memory: 17350 grad_norm: 9.2255 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8497 loss: 0.8497 2022/07/25 03:25:33 - mmengine - INFO - Epoch(train) [100][1580/3757] lr: 1.0000e-04 eta: 0:24:10 time: 0.6029 data_time: 0.0245 memory: 17350 grad_norm: 8.7531 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7531 loss: 0.7531 2022/07/25 03:25:47 - mmengine - INFO - Epoch(train) [100][1600/3757] lr: 1.0000e-04 eta: 0:23:57 time: 0.7190 data_time: 0.0218 memory: 17350 grad_norm: 9.1743 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8960 loss: 0.8960 2022/07/25 03:25:59 - mmengine - INFO - Epoch(train) [100][1620/3757] lr: 1.0000e-04 eta: 0:23:43 time: 0.6237 data_time: 0.0232 memory: 17350 grad_norm: 9.1216 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8193 loss: 0.8193 2022/07/25 03:26:13 - mmengine - INFO - Epoch(train) [100][1640/3757] lr: 1.0000e-04 eta: 0:23:30 time: 0.6989 data_time: 0.0214 memory: 17350 grad_norm: 8.7988 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9552 loss: 0.9552 2022/07/25 03:26:26 - mmengine - INFO - Epoch(train) [100][1660/3757] lr: 1.0000e-04 eta: 0:23:17 time: 0.6364 data_time: 0.0240 memory: 17350 grad_norm: 9.3177 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8829 loss: 0.8829 2022/07/25 03:26:40 - mmengine - INFO - Epoch(train) [100][1680/3757] lr: 1.0000e-04 eta: 0:23:03 time: 0.7036 data_time: 0.0195 memory: 17350 grad_norm: 9.2590 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9166 loss: 0.9166 2022/07/25 03:26:53 - mmengine - INFO - Epoch(train) [100][1700/3757] lr: 1.0000e-04 eta: 0:22:50 time: 0.6239 data_time: 0.0236 memory: 17350 grad_norm: 8.9705 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2494 loss: 1.2494 2022/07/25 03:27:07 - mmengine - INFO - Epoch(train) [100][1720/3757] lr: 1.0000e-04 eta: 0:22:37 time: 0.7061 data_time: 0.0229 memory: 17350 grad_norm: 8.8998 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7689 loss: 0.7689 2022/07/25 03:27:19 - mmengine - INFO - Epoch(train) [100][1740/3757] lr: 1.0000e-04 eta: 0:22:23 time: 0.6104 data_time: 0.0240 memory: 17350 grad_norm: 9.2091 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9031 loss: 0.9031 2022/07/25 03:27:33 - mmengine - INFO - Epoch(train) [100][1760/3757] lr: 1.0000e-04 eta: 0:22:10 time: 0.6964 data_time: 0.0233 memory: 17350 grad_norm: 9.2895 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9165 loss: 0.9165 2022/07/25 03:27:46 - mmengine - INFO - Epoch(train) [100][1780/3757] lr: 1.0000e-04 eta: 0:21:57 time: 0.6651 data_time: 0.0227 memory: 17350 grad_norm: 9.4180 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8732 loss: 0.8732 2022/07/25 03:28:00 - mmengine - INFO - Epoch(train) [100][1800/3757] lr: 1.0000e-04 eta: 0:21:43 time: 0.6520 data_time: 0.0245 memory: 17350 grad_norm: 9.2551 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9799 loss: 0.9799 2022/07/25 03:28:11 - mmengine - INFO - Epoch(train) [100][1820/3757] lr: 1.0000e-04 eta: 0:21:30 time: 0.5953 data_time: 0.0213 memory: 17350 grad_norm: 9.5455 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0690 loss: 1.0690 2022/07/25 03:28:26 - mmengine - INFO - Epoch(train) [100][1840/3757] lr: 1.0000e-04 eta: 0:21:17 time: 0.7454 data_time: 0.0227 memory: 17350 grad_norm: 9.2677 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0255 loss: 1.0255 2022/07/25 03:28:39 - mmengine - INFO - Epoch(train) [100][1860/3757] lr: 1.0000e-04 eta: 0:21:03 time: 0.6268 data_time: 0.0235 memory: 17350 grad_norm: 9.1910 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9205 loss: 0.9205 2022/07/25 03:28:52 - mmengine - INFO - Epoch(train) [100][1880/3757] lr: 1.0000e-04 eta: 0:20:50 time: 0.6763 data_time: 0.0232 memory: 17350 grad_norm: 9.3337 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0852 loss: 1.0852 2022/07/25 03:29:04 - mmengine - INFO - Epoch(train) [100][1900/3757] lr: 1.0000e-04 eta: 0:20:37 time: 0.5959 data_time: 0.0258 memory: 17350 grad_norm: 8.9223 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9367 loss: 0.9367 2022/07/25 03:29:18 - mmengine - INFO - Epoch(train) [100][1920/3757] lr: 1.0000e-04 eta: 0:20:23 time: 0.6935 data_time: 0.0219 memory: 17350 grad_norm: 9.1300 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8978 loss: 0.8978 2022/07/25 03:29:31 - mmengine - INFO - Epoch(train) [100][1940/3757] lr: 1.0000e-04 eta: 0:20:10 time: 0.6559 data_time: 0.0205 memory: 17350 grad_norm: 8.8227 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.8581 loss: 0.8581 2022/07/25 03:29:45 - mmengine - INFO - Epoch(train) [100][1960/3757] lr: 1.0000e-04 eta: 0:19:57 time: 0.6621 data_time: 0.0232 memory: 17350 grad_norm: 9.2307 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0678 loss: 1.0678 2022/07/25 03:29:58 - mmengine - INFO - Epoch(train) [100][1980/3757] lr: 1.0000e-04 eta: 0:19:43 time: 0.6694 data_time: 0.0225 memory: 17350 grad_norm: 9.6442 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1195 loss: 1.1195 2022/07/25 03:30:12 - mmengine - INFO - Epoch(train) [100][2000/3757] lr: 1.0000e-04 eta: 0:19:30 time: 0.7076 data_time: 0.0232 memory: 17350 grad_norm: 9.2040 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7874 loss: 0.7874 2022/07/25 03:30:24 - mmengine - INFO - Epoch(train) [100][2020/3757] lr: 1.0000e-04 eta: 0:19:17 time: 0.6086 data_time: 0.0225 memory: 17350 grad_norm: 9.4128 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9430 loss: 0.9430 2022/07/25 03:30:38 - mmengine - INFO - Epoch(train) [100][2040/3757] lr: 1.0000e-04 eta: 0:19:03 time: 0.6760 data_time: 0.0221 memory: 17350 grad_norm: 9.2464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0998 loss: 1.0998 2022/07/25 03:30:49 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 03:30:51 - mmengine - INFO - Epoch(train) [100][2060/3757] lr: 1.0000e-04 eta: 0:18:50 time: 0.6675 data_time: 0.0222 memory: 17350 grad_norm: 8.9916 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8331 loss: 0.8331 2022/07/25 03:31:04 - mmengine - INFO - Epoch(train) [100][2080/3757] lr: 1.0000e-04 eta: 0:18:37 time: 0.6168 data_time: 0.0242 memory: 17350 grad_norm: 9.3936 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0266 loss: 1.0266 2022/07/25 03:31:18 - mmengine - INFO - Epoch(train) [100][2100/3757] lr: 1.0000e-04 eta: 0:18:23 time: 0.7229 data_time: 0.0225 memory: 17350 grad_norm: 9.0329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8076 loss: 0.8076 2022/07/25 03:31:30 - mmengine - INFO - Epoch(train) [100][2120/3757] lr: 1.0000e-04 eta: 0:18:10 time: 0.6001 data_time: 0.0241 memory: 17350 grad_norm: 9.0472 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0075 loss: 1.0075 2022/07/25 03:31:45 - mmengine - INFO - Epoch(train) [100][2140/3757] lr: 1.0000e-04 eta: 0:17:57 time: 0.7284 data_time: 0.0133 memory: 17350 grad_norm: 9.3315 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0532 loss: 1.0532 2022/07/25 03:31:57 - mmengine - INFO - Epoch(train) [100][2160/3757] lr: 1.0000e-04 eta: 0:17:43 time: 0.6082 data_time: 0.0242 memory: 17350 grad_norm: 8.5983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9151 loss: 0.9151 2022/07/25 03:32:12 - mmengine - INFO - Epoch(train) [100][2180/3757] lr: 1.0000e-04 eta: 0:17:30 time: 0.7357 data_time: 0.0210 memory: 17350 grad_norm: 8.8472 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1899 loss: 1.1899 2022/07/25 03:32:24 - mmengine - INFO - Epoch(train) [100][2200/3757] lr: 1.0000e-04 eta: 0:17:17 time: 0.6200 data_time: 0.0241 memory: 17350 grad_norm: 9.1315 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9102 loss: 0.9102 2022/07/25 03:32:39 - mmengine - INFO - Epoch(train) [100][2220/3757] lr: 1.0000e-04 eta: 0:17:03 time: 0.7242 data_time: 0.0214 memory: 17350 grad_norm: 9.1828 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9658 loss: 0.9658 2022/07/25 03:32:50 - mmengine - INFO - Epoch(train) [100][2240/3757] lr: 1.0000e-04 eta: 0:16:50 time: 0.5865 data_time: 0.0218 memory: 17350 grad_norm: 9.3926 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7644 loss: 0.7644 2022/07/25 03:33:04 - mmengine - INFO - Epoch(train) [100][2260/3757] lr: 1.0000e-04 eta: 0:16:37 time: 0.6920 data_time: 0.0207 memory: 17350 grad_norm: 9.4719 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1724 loss: 1.1724 2022/07/25 03:33:18 - mmengine - INFO - Epoch(train) [100][2280/3757] lr: 1.0000e-04 eta: 0:16:23 time: 0.6695 data_time: 0.0234 memory: 17350 grad_norm: 9.3578 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0928 loss: 1.0928 2022/07/25 03:33:30 - mmengine - INFO - Epoch(train) [100][2300/3757] lr: 1.0000e-04 eta: 0:16:10 time: 0.6262 data_time: 0.0239 memory: 17350 grad_norm: 8.7531 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7793 loss: 0.7793 2022/07/25 03:33:44 - mmengine - INFO - Epoch(train) [100][2320/3757] lr: 1.0000e-04 eta: 0:15:57 time: 0.6764 data_time: 0.0222 memory: 17350 grad_norm: 9.0217 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8014 loss: 0.8014 2022/07/25 03:33:57 - mmengine - INFO - Epoch(train) [100][2340/3757] lr: 1.0000e-04 eta: 0:15:43 time: 0.6735 data_time: 0.0219 memory: 17350 grad_norm: 9.2629 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8146 loss: 0.8146 2022/07/25 03:34:10 - mmengine - INFO - Epoch(train) [100][2360/3757] lr: 1.0000e-04 eta: 0:15:30 time: 0.6383 data_time: 0.0364 memory: 17350 grad_norm: 9.0261 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8900 loss: 0.8900 2022/07/25 03:34:25 - mmengine - INFO - Epoch(train) [100][2380/3757] lr: 1.0000e-04 eta: 0:15:17 time: 0.7296 data_time: 0.0236 memory: 17350 grad_norm: 9.2758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0643 loss: 1.0643 2022/07/25 03:34:38 - mmengine - INFO - Epoch(train) [100][2400/3757] lr: 1.0000e-04 eta: 0:15:04 time: 0.6473 data_time: 0.0242 memory: 17350 grad_norm: 9.0753 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8601 loss: 0.8601 2022/07/25 03:34:51 - mmengine - INFO - Epoch(train) [100][2420/3757] lr: 1.0000e-04 eta: 0:14:50 time: 0.6426 data_time: 0.0210 memory: 17350 grad_norm: 9.1920 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9710 loss: 0.9710 2022/07/25 03:35:05 - mmengine - INFO - Epoch(train) [100][2440/3757] lr: 1.0000e-04 eta: 0:14:37 time: 0.7302 data_time: 0.0217 memory: 17350 grad_norm: 9.8788 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1323 loss: 1.1323 2022/07/25 03:35:18 - mmengine - INFO - Epoch(train) [100][2460/3757] lr: 1.0000e-04 eta: 0:14:24 time: 0.6179 data_time: 0.0215 memory: 17350 grad_norm: 9.3625 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0107 loss: 1.0107 2022/07/25 03:35:32 - mmengine - INFO - Epoch(train) [100][2480/3757] lr: 1.0000e-04 eta: 0:14:10 time: 0.7363 data_time: 0.0251 memory: 17350 grad_norm: 9.4646 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9319 loss: 0.9319 2022/07/25 03:35:44 - mmengine - INFO - Epoch(train) [100][2500/3757] lr: 1.0000e-04 eta: 0:13:57 time: 0.5897 data_time: 0.0250 memory: 17350 grad_norm: 9.0846 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9394 loss: 0.9394 2022/07/25 03:35:58 - mmengine - INFO - Epoch(train) [100][2520/3757] lr: 1.0000e-04 eta: 0:13:44 time: 0.7031 data_time: 0.0232 memory: 17350 grad_norm: 9.3193 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9391 loss: 0.9391 2022/07/25 03:36:11 - mmengine - INFO - Epoch(train) [100][2540/3757] lr: 1.0000e-04 eta: 0:13:30 time: 0.6233 data_time: 0.0224 memory: 17350 grad_norm: 8.8753 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7063 loss: 0.7063 2022/07/25 03:36:25 - mmengine - INFO - Epoch(train) [100][2560/3757] lr: 1.0000e-04 eta: 0:13:17 time: 0.7318 data_time: 0.0222 memory: 17350 grad_norm: 9.1913 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2274 loss: 1.2274 2022/07/25 03:36:37 - mmengine - INFO - Epoch(train) [100][2580/3757] lr: 1.0000e-04 eta: 0:13:04 time: 0.5811 data_time: 0.0225 memory: 17350 grad_norm: 9.0839 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1426 loss: 1.1426 2022/07/25 03:36:51 - mmengine - INFO - Epoch(train) [100][2600/3757] lr: 1.0000e-04 eta: 0:12:50 time: 0.7202 data_time: 0.0227 memory: 17350 grad_norm: 9.3617 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9858 loss: 0.9858 2022/07/25 03:37:04 - mmengine - INFO - Epoch(train) [100][2620/3757] lr: 1.0000e-04 eta: 0:12:37 time: 0.6165 data_time: 0.0236 memory: 17350 grad_norm: 9.0089 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1030 loss: 1.1030 2022/07/25 03:37:19 - mmengine - INFO - Epoch(train) [100][2640/3757] lr: 1.0000e-04 eta: 0:12:24 time: 0.7427 data_time: 0.0230 memory: 17350 grad_norm: 9.3298 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0897 loss: 1.0897 2022/07/25 03:37:30 - mmengine - INFO - Epoch(train) [100][2660/3757] lr: 1.0000e-04 eta: 0:12:10 time: 0.5740 data_time: 0.0226 memory: 17350 grad_norm: 9.2394 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0646 loss: 1.0646 2022/07/25 03:37:45 - mmengine - INFO - Epoch(train) [100][2680/3757] lr: 1.0000e-04 eta: 0:11:57 time: 0.7235 data_time: 0.0216 memory: 17350 grad_norm: 9.1422 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8415 loss: 0.8415 2022/07/25 03:37:57 - mmengine - INFO - Epoch(train) [100][2700/3757] lr: 1.0000e-04 eta: 0:11:44 time: 0.6213 data_time: 0.0218 memory: 17350 grad_norm: 8.9586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9671 loss: 0.9671 2022/07/25 03:38:11 - mmengine - INFO - Epoch(train) [100][2720/3757] lr: 1.0000e-04 eta: 0:11:30 time: 0.6936 data_time: 0.0428 memory: 17350 grad_norm: 9.8889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8122 loss: 0.8122 2022/07/25 03:38:24 - mmengine - INFO - Epoch(train) [100][2740/3757] lr: 1.0000e-04 eta: 0:11:17 time: 0.6388 data_time: 0.0231 memory: 17350 grad_norm: 9.8243 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0570 loss: 1.0570 2022/07/25 03:38:39 - mmengine - INFO - Epoch(train) [100][2760/3757] lr: 1.0000e-04 eta: 0:11:04 time: 0.7519 data_time: 0.0236 memory: 17350 grad_norm: 8.9668 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1154 loss: 1.1154 2022/07/25 03:38:50 - mmengine - INFO - Epoch(train) [100][2780/3757] lr: 1.0000e-04 eta: 0:10:50 time: 0.5637 data_time: 0.0227 memory: 17350 grad_norm: 9.3518 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1628 loss: 1.1628 2022/07/25 03:39:04 - mmengine - INFO - Epoch(train) [100][2800/3757] lr: 1.0000e-04 eta: 0:10:37 time: 0.7074 data_time: 0.0227 memory: 17350 grad_norm: 9.5245 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8901 loss: 0.8901 2022/07/25 03:39:16 - mmengine - INFO - Epoch(train) [100][2820/3757] lr: 1.0000e-04 eta: 0:10:24 time: 0.6031 data_time: 0.0228 memory: 17350 grad_norm: 9.2725 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0994 loss: 1.0994 2022/07/25 03:39:31 - mmengine - INFO - Epoch(train) [100][2840/3757] lr: 1.0000e-04 eta: 0:10:10 time: 0.7240 data_time: 0.0226 memory: 17350 grad_norm: 9.4364 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1332 loss: 1.1332 2022/07/25 03:39:43 - mmengine - INFO - Epoch(train) [100][2860/3757] lr: 1.0000e-04 eta: 0:09:57 time: 0.5830 data_time: 0.0237 memory: 17350 grad_norm: 9.4300 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9627 loss: 0.9627 2022/07/25 03:39:58 - mmengine - INFO - Epoch(train) [100][2880/3757] lr: 1.0000e-04 eta: 0:09:44 time: 0.7570 data_time: 0.0227 memory: 17350 grad_norm: 9.3157 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9929 loss: 0.9929 2022/07/25 03:40:10 - mmengine - INFO - Epoch(train) [100][2900/3757] lr: 1.0000e-04 eta: 0:09:30 time: 0.6361 data_time: 0.0252 memory: 17350 grad_norm: 8.8791 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8433 loss: 0.8433 2022/07/25 03:40:25 - mmengine - INFO - Epoch(train) [100][2920/3757] lr: 1.0000e-04 eta: 0:09:17 time: 0.7226 data_time: 0.0223 memory: 17350 grad_norm: 8.9844 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9601 loss: 0.9601 2022/07/25 03:40:37 - mmengine - INFO - Epoch(train) [100][2940/3757] lr: 1.0000e-04 eta: 0:09:04 time: 0.6098 data_time: 0.0232 memory: 17350 grad_norm: 9.2077 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9241 loss: 0.9241 2022/07/25 03:40:52 - mmengine - INFO - Epoch(train) [100][2960/3757] lr: 1.0000e-04 eta: 0:08:50 time: 0.7230 data_time: 0.0224 memory: 17350 grad_norm: 9.2877 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0699 loss: 1.0699 2022/07/25 03:41:04 - mmengine - INFO - Epoch(train) [100][2980/3757] lr: 1.0000e-04 eta: 0:08:37 time: 0.5975 data_time: 0.0222 memory: 17350 grad_norm: 9.2038 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8495 loss: 0.8495 2022/07/25 03:41:18 - mmengine - INFO - Epoch(train) [100][3000/3757] lr: 1.0000e-04 eta: 0:08:24 time: 0.7068 data_time: 0.0218 memory: 17350 grad_norm: 9.3768 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1013 loss: 1.1013 2022/07/25 03:41:31 - mmengine - INFO - Epoch(train) [100][3020/3757] lr: 1.0000e-04 eta: 0:08:10 time: 0.6493 data_time: 0.0220 memory: 17350 grad_norm: 9.4326 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3721 loss: 1.3721 2022/07/25 03:41:45 - mmengine - INFO - Epoch(train) [100][3040/3757] lr: 1.0000e-04 eta: 0:07:57 time: 0.7180 data_time: 0.0321 memory: 17350 grad_norm: 9.0183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7277 loss: 0.7277 2022/07/25 03:41:56 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 03:41:57 - mmengine - INFO - Epoch(train) [100][3060/3757] lr: 1.0000e-04 eta: 0:07:44 time: 0.5945 data_time: 0.0238 memory: 17350 grad_norm: 8.7189 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8608 loss: 0.8608 2022/07/25 03:42:12 - mmengine - INFO - Epoch(train) [100][3080/3757] lr: 1.0000e-04 eta: 0:07:31 time: 0.7494 data_time: 0.0230 memory: 17350 grad_norm: 9.2953 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0218 loss: 1.0218 2022/07/25 03:42:23 - mmengine - INFO - Epoch(train) [100][3100/3757] lr: 1.0000e-04 eta: 0:07:17 time: 0.5540 data_time: 0.0241 memory: 17350 grad_norm: 9.1761 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8693 loss: 0.8693 2022/07/25 03:42:37 - mmengine - INFO - Epoch(train) [100][3120/3757] lr: 1.0000e-04 eta: 0:07:04 time: 0.6894 data_time: 0.0212 memory: 17350 grad_norm: 9.3080 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8748 loss: 0.8748 2022/07/25 03:42:49 - mmengine - INFO - Epoch(train) [100][3140/3757] lr: 1.0000e-04 eta: 0:06:51 time: 0.6221 data_time: 0.0233 memory: 17350 grad_norm: 9.2771 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8547 loss: 0.8547 2022/07/25 03:43:03 - mmengine - INFO - Epoch(train) [100][3160/3757] lr: 1.0000e-04 eta: 0:06:37 time: 0.6954 data_time: 0.0230 memory: 17350 grad_norm: 9.2940 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9701 loss: 0.9701 2022/07/25 03:43:15 - mmengine - INFO - Epoch(train) [100][3180/3757] lr: 1.0000e-04 eta: 0:06:24 time: 0.5771 data_time: 0.0224 memory: 17350 grad_norm: 9.4651 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2583 loss: 1.2583 2022/07/25 03:43:29 - mmengine - INFO - Epoch(train) [100][3200/3757] lr: 1.0000e-04 eta: 0:06:11 time: 0.6925 data_time: 0.0612 memory: 17350 grad_norm: 9.2571 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0992 loss: 1.0992 2022/07/25 03:43:42 - mmengine - INFO - Epoch(train) [100][3220/3757] lr: 1.0000e-04 eta: 0:05:57 time: 0.6415 data_time: 0.0344 memory: 17350 grad_norm: 9.2045 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9385 loss: 0.9385 2022/07/25 03:43:57 - mmengine - INFO - Epoch(train) [100][3240/3757] lr: 1.0000e-04 eta: 0:05:44 time: 0.7488 data_time: 0.0233 memory: 17350 grad_norm: 9.5624 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2613 loss: 1.2613 2022/07/25 03:44:09 - mmengine - INFO - Epoch(train) [100][3260/3757] lr: 1.0000e-04 eta: 0:05:31 time: 0.5906 data_time: 0.0237 memory: 17350 grad_norm: 9.0003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0587 loss: 1.0587 2022/07/25 03:44:22 - mmengine - INFO - Epoch(train) [100][3280/3757] lr: 1.0000e-04 eta: 0:05:17 time: 0.6780 data_time: 0.0233 memory: 17350 grad_norm: 9.0787 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8653 loss: 0.8653 2022/07/25 03:44:35 - mmengine - INFO - Epoch(train) [100][3300/3757] lr: 1.0000e-04 eta: 0:05:04 time: 0.6431 data_time: 0.0326 memory: 17350 grad_norm: 9.0942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8483 loss: 0.8483 2022/07/25 03:44:50 - mmengine - INFO - Epoch(train) [100][3320/3757] lr: 1.0000e-04 eta: 0:04:51 time: 0.7418 data_time: 0.0437 memory: 17350 grad_norm: 9.1893 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0059 loss: 1.0059 2022/07/25 03:45:02 - mmengine - INFO - Epoch(train) [100][3340/3757] lr: 1.0000e-04 eta: 0:04:37 time: 0.6073 data_time: 0.0776 memory: 17350 grad_norm: 9.4496 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8853 loss: 0.8853 2022/07/25 03:45:17 - mmengine - INFO - Epoch(train) [100][3360/3757] lr: 1.0000e-04 eta: 0:04:24 time: 0.7418 data_time: 0.0389 memory: 17350 grad_norm: 8.6188 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8165 loss: 0.8165 2022/07/25 03:45:29 - mmengine - INFO - Epoch(train) [100][3380/3757] lr: 1.0000e-04 eta: 0:04:11 time: 0.6071 data_time: 0.0677 memory: 17350 grad_norm: 9.0378 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0674 loss: 1.0674 2022/07/25 03:45:43 - mmengine - INFO - Epoch(train) [100][3400/3757] lr: 1.0000e-04 eta: 0:03:57 time: 0.7023 data_time: 0.1199 memory: 17350 grad_norm: 9.5865 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1587 loss: 1.1587 2022/07/25 03:45:57 - mmengine - INFO - Epoch(train) [100][3420/3757] lr: 1.0000e-04 eta: 0:03:44 time: 0.6711 data_time: 0.1633 memory: 17350 grad_norm: 9.3098 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9797 loss: 0.9797 2022/07/25 03:46:11 - mmengine - INFO - Epoch(train) [100][3440/3757] lr: 1.0000e-04 eta: 0:03:31 time: 0.6976 data_time: 0.0395 memory: 17350 grad_norm: 9.4154 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8919 loss: 0.8919 2022/07/25 03:46:23 - mmengine - INFO - Epoch(train) [100][3460/3757] lr: 1.0000e-04 eta: 0:03:17 time: 0.6002 data_time: 0.0456 memory: 17350 grad_norm: 8.9083 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9035 loss: 0.9035 2022/07/25 03:46:37 - mmengine - INFO - Epoch(train) [100][3480/3757] lr: 1.0000e-04 eta: 0:03:04 time: 0.7443 data_time: 0.0538 memory: 17350 grad_norm: 9.0012 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9040 loss: 0.9040 2022/07/25 03:46:49 - mmengine - INFO - Epoch(train) [100][3500/3757] lr: 1.0000e-04 eta: 0:02:51 time: 0.5988 data_time: 0.0260 memory: 17350 grad_norm: 9.0775 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9175 loss: 0.9175 2022/07/25 03:47:04 - mmengine - INFO - Epoch(train) [100][3520/3757] lr: 1.0000e-04 eta: 0:02:37 time: 0.7406 data_time: 0.0239 memory: 17350 grad_norm: 9.4652 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9638 loss: 0.9638 2022/07/25 03:47:16 - mmengine - INFO - Epoch(train) [100][3540/3757] lr: 1.0000e-04 eta: 0:02:24 time: 0.6009 data_time: 0.0239 memory: 17350 grad_norm: 9.1359 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9883 loss: 0.9883 2022/07/25 03:47:31 - mmengine - INFO - Epoch(train) [100][3560/3757] lr: 1.0000e-04 eta: 0:02:11 time: 0.7142 data_time: 0.0195 memory: 17350 grad_norm: 8.8014 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1279 loss: 1.1279 2022/07/25 03:47:42 - mmengine - INFO - Epoch(train) [100][3580/3757] lr: 1.0000e-04 eta: 0:01:57 time: 0.5681 data_time: 0.0286 memory: 17350 grad_norm: 9.1789 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0710 loss: 1.0710 2022/07/25 03:47:58 - mmengine - INFO - Epoch(train) [100][3600/3757] lr: 1.0000e-04 eta: 0:01:44 time: 0.7765 data_time: 0.0218 memory: 17350 grad_norm: 8.9207 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0608 loss: 1.0608 2022/07/25 03:48:09 - mmengine - INFO - Epoch(train) [100][3620/3757] lr: 1.0000e-04 eta: 0:01:31 time: 0.5929 data_time: 0.0235 memory: 17350 grad_norm: 8.6214 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8967 loss: 0.8967 2022/07/25 03:48:24 - mmengine - INFO - Epoch(train) [100][3640/3757] lr: 1.0000e-04 eta: 0:01:17 time: 0.7119 data_time: 0.0224 memory: 17350 grad_norm: 9.2770 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8038 loss: 0.8038 2022/07/25 03:48:36 - mmengine - INFO - Epoch(train) [100][3660/3757] lr: 1.0000e-04 eta: 0:01:04 time: 0.6314 data_time: 0.0477 memory: 17350 grad_norm: 9.3522 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0189 loss: 1.0189 2022/07/25 03:48:50 - mmengine - INFO - Epoch(train) [100][3680/3757] lr: 1.0000e-04 eta: 0:00:51 time: 0.6897 data_time: 0.0381 memory: 17350 grad_norm: 8.9329 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8825 loss: 0.8825 2022/07/25 03:49:02 - mmengine - INFO - Epoch(train) [100][3700/3757] lr: 1.0000e-04 eta: 0:00:37 time: 0.6152 data_time: 0.1054 memory: 17350 grad_norm: 8.7869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9997 loss: 0.9997 2022/07/25 03:49:16 - mmengine - INFO - Epoch(train) [100][3720/3757] lr: 1.0000e-04 eta: 0:00:24 time: 0.6875 data_time: 0.1012 memory: 17350 grad_norm: 9.2122 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9393 loss: 0.9393 2022/07/25 03:49:29 - mmengine - INFO - Epoch(train) [100][3740/3757] lr: 1.0000e-04 eta: 0:00:11 time: 0.6453 data_time: 0.1292 memory: 17350 grad_norm: 9.2569 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1128 loss: 1.1128 2022/07/25 03:49:37 - mmengine - INFO - Exp name: i3d_r50_heavy_8x8x1_100e_8xb8_kinetics400_rgb_20220722_000847 2022/07/25 03:49:37 - mmengine - INFO - Epoch(train) [100][3757/3757] lr: 1.0000e-04 eta: 0:00:11 time: 0.5097 data_time: 0.1309 memory: 17350 grad_norm: 9.1008 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9569 loss: 0.9569 2022/07/25 03:49:37 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/07/25 03:49:56 - mmengine - INFO - Epoch(val) [100][20/310] eta: 0:03:54 time: 0.8094 data_time: 0.6946 memory: 3406 2022/07/25 03:50:08 - mmengine - INFO - Epoch(val) [100][40/310] eta: 0:02:32 time: 0.5641 data_time: 0.4535 memory: 3406 2022/07/25 03:50:23 - mmengine - INFO - Epoch(val) [100][60/310] eta: 0:03:13 time: 0.7737 data_time: 0.6610 memory: 3406 2022/07/25 03:50:34 - mmengine - INFO - Epoch(val) [100][80/310] eta: 0:02:08 time: 0.5576 data_time: 0.4450 memory: 3406 2022/07/25 03:50:49 - mmengine - INFO - Epoch(val) [100][100/310] eta: 0:02:37 time: 0.7497 data_time: 0.6355 memory: 3406 2022/07/25 03:51:01 - mmengine - INFO - Epoch(val) [100][120/310] eta: 0:01:48 time: 0.5692 data_time: 0.4529 memory: 3406 2022/07/25 03:51:16 - mmengine - INFO - Epoch(val) [100][140/310] eta: 0:02:13 time: 0.7824 data_time: 0.6655 memory: 3406 2022/07/25 03:51:27 - mmengine - INFO - Epoch(val) [100][160/310] eta: 0:01:20 time: 0.5369 data_time: 0.4223 memory: 3406 2022/07/25 03:51:42 - mmengine - INFO - Epoch(val) [100][180/310] eta: 0:01:39 time: 0.7686 data_time: 0.6541 memory: 3406 2022/07/25 03:51:53 - mmengine - INFO - Epoch(val) [100][200/310] eta: 0:00:59 time: 0.5446 data_time: 0.4324 memory: 3406 2022/07/25 03:52:09 - mmengine - INFO - Epoch(val) [100][220/310] eta: 0:01:09 time: 0.7700 data_time: 0.6566 memory: 3406 2022/07/25 03:52:20 - mmengine - INFO - Epoch(val) [100][240/310] eta: 0:00:39 time: 0.5628 data_time: 0.4476 memory: 3406 2022/07/25 03:52:35 - mmengine - INFO - Epoch(val) [100][260/310] eta: 0:00:38 time: 0.7748 data_time: 0.6636 memory: 3406 2022/07/25 03:52:46 - mmengine - INFO - Epoch(val) [100][280/310] eta: 0:00:16 time: 0.5424 data_time: 0.4274 memory: 3406 2022/07/25 03:53:00 - mmengine - INFO - Epoch(val) [100][300/310] eta: 0:00:07 time: 0.7054 data_time: 0.5925 memory: 3406 2022/07/25 03:53:04 - mmengine - INFO - Epoch(val) [100][310/310] acc/top1: 0.6921 acc/top5: 0.8792 acc/mean1: 0.6920