2022/08/08 14:33:07 - mmengine - INFO - These parameters in pretrained checkpoint are not loaded: {'fc.weight', 'fc.bias'} 2022/08/08 14:33:07 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb by HardDiskBackend. 2022/08/08 14:33:07 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 14:34:20 - mmengine - INFO - Epoch(train) [1][20/1320] lr: 2.0000e-03 eta: 2 days, 18:52:22 time: 3.6487 data_time: 3.3156 memory: 11037 grad_norm: 4.7003 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1275 loss: 5.1275 2022/08/08 14:34:24 - mmengine - INFO - Epoch(train) [1][40/1320] lr: 2.0000e-03 eta: 1 day, 11:30:53 time: 0.2280 data_time: 0.0163 memory: 11037 grad_norm: 4.6363 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0490 loss: 5.0490 2022/08/08 14:34:29 - mmengine - INFO - Epoch(train) [1][60/1320] lr: 2.0000e-03 eta: 1 day, 1:02:16 time: 0.2242 data_time: 0.0120 memory: 11037 grad_norm: 3.9493 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.9143 loss: 4.9143 2022/08/08 14:34:33 - mmengine - INFO - Epoch(train) [1][80/1320] lr: 2.0000e-03 eta: 19:48:57 time: 0.2279 data_time: 0.0144 memory: 11037 grad_norm: 4.1082 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.9780 loss: 4.9780 2022/08/08 14:34:38 - mmengine - INFO - Epoch(train) [1][100/1320] lr: 2.0000e-03 eta: 16:40:04 time: 0.2239 data_time: 0.0139 memory: 11037 grad_norm: 4.5338 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.9019 loss: 4.9019 2022/08/08 14:34:42 - mmengine - INFO - Epoch(train) [1][120/1320] lr: 2.0000e-03 eta: 14:34:21 time: 0.2252 data_time: 0.0145 memory: 11037 grad_norm: 5.0854 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 4.9157 loss: 4.9157 2022/08/08 14:34:47 - mmengine - INFO - Epoch(train) [1][140/1320] lr: 2.0000e-03 eta: 13:04:34 time: 0.2255 data_time: 0.0149 memory: 11037 grad_norm: 6.3285 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 4.8330 loss: 4.8330 2022/08/08 14:34:51 - mmengine - INFO - Epoch(train) [1][160/1320] lr: 2.0000e-03 eta: 11:58:22 time: 0.2339 data_time: 0.0141 memory: 11037 grad_norm: 7.0615 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 4.7189 loss: 4.7189 2022/08/08 14:34:56 - mmengine - INFO - Epoch(train) [1][180/1320] lr: 2.0000e-03 eta: 11:05:37 time: 0.2236 data_time: 0.0145 memory: 11037 grad_norm: 7.3057 top1_acc: 0.0625 top5_acc: 0.0625 loss_cls: 4.6463 loss: 4.6463 2022/08/08 14:35:00 - mmengine - INFO - Epoch(train) [1][200/1320] lr: 2.0000e-03 eta: 10:23:27 time: 0.2242 data_time: 0.0137 memory: 11037 grad_norm: 8.3838 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 4.7408 loss: 4.7408 2022/08/08 14:35:05 - mmengine - INFO - Epoch(train) [1][220/1320] lr: 2.0000e-03 eta: 9:49:00 time: 0.2248 data_time: 0.0144 memory: 11037 grad_norm: 8.2034 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 4.6267 loss: 4.6267 2022/08/08 14:35:09 - mmengine - INFO - Epoch(train) [1][240/1320] lr: 2.0000e-03 eta: 9:20:39 time: 0.2287 data_time: 0.0173 memory: 11037 grad_norm: 8.5113 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 4.4244 loss: 4.4244 2022/08/08 14:35:14 - mmengine - INFO - Epoch(train) [1][260/1320] lr: 2.0000e-03 eta: 8:56:19 time: 0.2250 data_time: 0.0123 memory: 11037 grad_norm: 8.7182 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 4.4129 loss: 4.4129 2022/08/08 14:35:18 - mmengine - INFO - Epoch(train) [1][280/1320] lr: 2.0000e-03 eta: 8:35:21 time: 0.2236 data_time: 0.0142 memory: 11037 grad_norm: 8.4970 top1_acc: 0.0625 top5_acc: 0.0625 loss_cls: 4.4642 loss: 4.4642 2022/08/08 14:35:23 - mmengine - INFO - Epoch(train) [1][300/1320] lr: 2.0000e-03 eta: 8:17:35 time: 0.2292 data_time: 0.0127 memory: 11037 grad_norm: 9.0151 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.4503 loss: 4.4503 2022/08/08 14:35:28 - mmengine - INFO - Epoch(train) [1][320/1320] lr: 2.0000e-03 eta: 8:01:41 time: 0.2243 data_time: 0.0140 memory: 11037 grad_norm: 8.7403 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.3897 loss: 4.3897 2022/08/08 14:35:32 - mmengine - INFO - Epoch(train) [1][340/1320] lr: 2.0000e-03 eta: 7:48:01 time: 0.2299 data_time: 0.0161 memory: 11037 grad_norm: 8.8849 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.3555 loss: 4.3555 2022/08/08 14:35:37 - mmengine - INFO - Epoch(train) [1][360/1320] lr: 2.0000e-03 eta: 7:35:29 time: 0.2238 data_time: 0.0140 memory: 11037 grad_norm: 9.3166 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.2873 loss: 4.2873 2022/08/08 14:35:41 - mmengine - INFO - Epoch(train) [1][380/1320] lr: 2.0000e-03 eta: 7:24:21 time: 0.2254 data_time: 0.0144 memory: 11037 grad_norm: 9.0587 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.3431 loss: 4.3431 2022/08/08 14:35:46 - mmengine - INFO - Epoch(train) [1][400/1320] lr: 2.0000e-03 eta: 7:14:21 time: 0.2260 data_time: 0.0150 memory: 11037 grad_norm: 9.2109 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 4.2369 loss: 4.2369 2022/08/08 14:35:50 - mmengine - INFO - Epoch(train) [1][420/1320] lr: 2.0000e-03 eta: 7:05:17 time: 0.2254 data_time: 0.0140 memory: 11037 grad_norm: 9.1786 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.3204 loss: 4.3204 2022/08/08 14:35:55 - mmengine - INFO - Epoch(train) [1][440/1320] lr: 2.0000e-03 eta: 6:56:57 time: 0.2239 data_time: 0.0129 memory: 11037 grad_norm: 9.7887 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.2698 loss: 4.2698 2022/08/08 14:35:59 - mmengine - INFO - Epoch(train) [1][460/1320] lr: 2.0000e-03 eta: 6:49:26 time: 0.2260 data_time: 0.0152 memory: 11037 grad_norm: 9.4422 top1_acc: 0.1250 top5_acc: 0.1875 loss_cls: 4.2082 loss: 4.2082 2022/08/08 14:36:04 - mmengine - INFO - Epoch(train) [1][480/1320] lr: 2.0000e-03 eta: 6:42:46 time: 0.2313 data_time: 0.0149 memory: 11037 grad_norm: 9.2232 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 4.0869 loss: 4.0869 2022/08/08 14:36:08 - mmengine - INFO - Epoch(train) [1][500/1320] lr: 2.0000e-03 eta: 6:36:22 time: 0.2251 data_time: 0.0142 memory: 11037 grad_norm: 9.2890 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 4.1955 loss: 4.1955 2022/08/08 14:36:13 - mmengine - INFO - Epoch(train) [1][520/1320] lr: 2.0000e-03 eta: 6:30:32 time: 0.2268 data_time: 0.0152 memory: 11037 grad_norm: 9.1711 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.9543 loss: 3.9543 2022/08/08 14:36:17 - mmengine - INFO - Epoch(train) [1][540/1320] lr: 2.0000e-03 eta: 6:25:02 time: 0.2247 data_time: 0.0153 memory: 11037 grad_norm: 9.7590 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 3.8734 loss: 3.8734 2022/08/08 14:36:22 - mmengine - INFO - Epoch(train) [1][560/1320] lr: 2.0000e-03 eta: 6:20:11 time: 0.2314 data_time: 0.0143 memory: 11037 grad_norm: 9.8473 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.1415 loss: 4.1415 2022/08/08 14:36:26 - mmengine - INFO - Epoch(train) [1][580/1320] lr: 2.0000e-03 eta: 6:15:25 time: 0.2248 data_time: 0.0147 memory: 11037 grad_norm: 9.2429 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.0335 loss: 4.0335 2022/08/08 14:36:31 - mmengine - INFO - Epoch(train) [1][600/1320] lr: 2.0000e-03 eta: 6:10:55 time: 0.2240 data_time: 0.0141 memory: 11037 grad_norm: 9.3951 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 4.0246 loss: 4.0246 2022/08/08 14:36:35 - mmengine - INFO - Epoch(train) [1][620/1320] lr: 2.0000e-03 eta: 6:06:47 time: 0.2256 data_time: 0.0149 memory: 11037 grad_norm: 9.5193 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 4.1493 loss: 4.1493 2022/08/08 14:36:40 - mmengine - INFO - Epoch(train) [1][640/1320] lr: 2.0000e-03 eta: 6:03:22 time: 0.2396 data_time: 0.0157 memory: 11037 grad_norm: 8.9506 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.0973 loss: 4.0973 2022/08/08 14:36:45 - mmengine - INFO - Epoch(train) [1][660/1320] lr: 2.0000e-03 eta: 5:59:38 time: 0.2239 data_time: 0.0135 memory: 11037 grad_norm: 9.8371 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.9159 loss: 3.9159 2022/08/08 14:36:49 - mmengine - INFO - Epoch(train) [1][680/1320] lr: 2.0000e-03 eta: 5:56:08 time: 0.2246 data_time: 0.0161 memory: 11037 grad_norm: 9.8639 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1215 loss: 4.1215 2022/08/08 14:36:54 - mmengine - INFO - Epoch(train) [1][700/1320] lr: 2.0000e-03 eta: 5:52:53 time: 0.2260 data_time: 0.0154 memory: 11037 grad_norm: 9.7454 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 3.8891 loss: 3.8891 2022/08/08 14:36:58 - mmengine - INFO - Epoch(train) [1][720/1320] lr: 2.0000e-03 eta: 5:49:45 time: 0.2241 data_time: 0.0143 memory: 11037 grad_norm: 9.6658 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.9619 loss: 3.9619 2022/08/08 14:37:03 - mmengine - INFO - Epoch(train) [1][740/1320] lr: 2.0000e-03 eta: 5:47:05 time: 0.2342 data_time: 0.0146 memory: 11037 grad_norm: 9.4073 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 3.9043 loss: 3.9043 2022/08/08 14:37:07 - mmengine - INFO - Epoch(train) [1][760/1320] lr: 2.0000e-03 eta: 5:44:15 time: 0.2239 data_time: 0.0152 memory: 11037 grad_norm: 9.6282 top1_acc: 0.2500 top5_acc: 0.3125 loss_cls: 3.8647 loss: 3.8647 2022/08/08 14:37:12 - mmengine - INFO - Epoch(train) [1][780/1320] lr: 2.0000e-03 eta: 5:41:35 time: 0.2247 data_time: 0.0141 memory: 11037 grad_norm: 9.5801 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8784 loss: 3.8784 2022/08/08 14:37:16 - mmengine - INFO - Epoch(train) [1][800/1320] lr: 2.0000e-03 eta: 5:39:02 time: 0.2246 data_time: 0.0127 memory: 11037 grad_norm: 9.8416 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.8740 loss: 3.8740 2022/08/08 14:37:21 - mmengine - INFO - Epoch(train) [1][820/1320] lr: 2.0000e-03 eta: 5:36:50 time: 0.2325 data_time: 0.0165 memory: 11037 grad_norm: 9.5678 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.8151 loss: 3.8151 2022/08/08 14:37:25 - mmengine - INFO - Epoch(train) [1][840/1320] lr: 2.0000e-03 eta: 5:34:30 time: 0.2239 data_time: 0.0143 memory: 11037 grad_norm: 9.7120 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8889 loss: 3.8889 2022/08/08 14:37:30 - mmengine - INFO - Epoch(train) [1][860/1320] lr: 2.0000e-03 eta: 5:32:19 time: 0.2257 data_time: 0.0139 memory: 11037 grad_norm: 9.9409 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 3.8394 loss: 3.8394 2022/08/08 14:37:34 - mmengine - INFO - Epoch(train) [1][880/1320] lr: 2.0000e-03 eta: 5:30:13 time: 0.2250 data_time: 0.0147 memory: 11037 grad_norm: 9.2784 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 3.8797 loss: 3.8797 2022/08/08 14:37:39 - mmengine - INFO - Epoch(train) [1][900/1320] lr: 2.0000e-03 eta: 5:28:14 time: 0.2265 data_time: 0.0140 memory: 11037 grad_norm: 10.1989 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.7592 loss: 3.7592 2022/08/08 14:37:44 - mmengine - INFO - Epoch(train) [1][920/1320] lr: 2.0000e-03 eta: 5:26:30 time: 0.2328 data_time: 0.0148 memory: 11037 grad_norm: 9.9047 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.8865 loss: 3.8865 2022/08/08 14:37:48 - mmengine - INFO - Epoch(train) [1][940/1320] lr: 2.0000e-03 eta: 5:24:39 time: 0.2257 data_time: 0.0148 memory: 11037 grad_norm: 10.4064 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.8445 loss: 3.8445 2022/08/08 14:37:53 - mmengine - INFO - Epoch(train) [1][960/1320] lr: 2.0000e-03 eta: 5:22:51 time: 0.2241 data_time: 0.0142 memory: 11037 grad_norm: 9.8814 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7612 loss: 3.7612 2022/08/08 14:37:57 - mmengine - INFO - Epoch(train) [1][980/1320] lr: 2.0000e-03 eta: 5:21:07 time: 0.2238 data_time: 0.0137 memory: 11037 grad_norm: 9.8230 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.9442 loss: 3.9442 2022/08/08 14:38:02 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 14:38:02 - mmengine - INFO - Epoch(train) [1][1000/1320] lr: 2.0000e-03 eta: 5:19:41 time: 0.2348 data_time: 0.0162 memory: 11037 grad_norm: 10.1057 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 3.6791 loss: 3.6791 2022/08/08 14:38:06 - mmengine - INFO - Epoch(train) [1][1020/1320] lr: 2.0000e-03 eta: 5:18:07 time: 0.2257 data_time: 0.0163 memory: 11037 grad_norm: 9.9851 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 3.9539 loss: 3.9539 2022/08/08 14:38:11 - mmengine - INFO - Epoch(train) [1][1040/1320] lr: 2.0000e-03 eta: 5:16:36 time: 0.2258 data_time: 0.0154 memory: 11037 grad_norm: 9.8217 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7904 loss: 3.7904 2022/08/08 14:38:15 - mmengine - INFO - Epoch(train) [1][1060/1320] lr: 2.0000e-03 eta: 5:15:07 time: 0.2247 data_time: 0.0145 memory: 11037 grad_norm: 10.1083 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.7834 loss: 3.7834 2022/08/08 14:38:20 - mmengine - INFO - Epoch(train) [1][1080/1320] lr: 2.0000e-03 eta: 5:13:50 time: 0.2318 data_time: 0.0170 memory: 11037 grad_norm: 9.7798 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8075 loss: 3.8075 2022/08/08 14:38:24 - mmengine - INFO - Epoch(train) [1][1100/1320] lr: 2.0000e-03 eta: 5:12:27 time: 0.2245 data_time: 0.0136 memory: 11037 grad_norm: 9.7199 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6649 loss: 3.6649 2022/08/08 14:38:29 - mmengine - INFO - Epoch(train) [1][1120/1320] lr: 2.0000e-03 eta: 5:11:07 time: 0.2253 data_time: 0.0171 memory: 11037 grad_norm: 10.0503 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.6646 loss: 3.6646 2022/08/08 14:38:33 - mmengine - INFO - Epoch(train) [1][1140/1320] lr: 2.0000e-03 eta: 5:09:50 time: 0.2249 data_time: 0.0130 memory: 11037 grad_norm: 9.7104 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 3.5660 loss: 3.5660 2022/08/08 14:38:38 - mmengine - INFO - Epoch(train) [1][1160/1320] lr: 2.0000e-03 eta: 5:08:34 time: 0.2238 data_time: 0.0135 memory: 11037 grad_norm: 10.4360 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.4819 loss: 3.4819 2022/08/08 14:38:43 - mmengine - INFO - Epoch(train) [1][1180/1320] lr: 2.0000e-03 eta: 5:07:27 time: 0.2295 data_time: 0.0154 memory: 11037 grad_norm: 10.0362 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8162 loss: 3.8162 2022/08/08 14:38:47 - mmengine - INFO - Epoch(train) [1][1200/1320] lr: 2.0000e-03 eta: 5:06:16 time: 0.2244 data_time: 0.0147 memory: 11037 grad_norm: 9.6079 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6672 loss: 3.6672 2022/08/08 14:38:52 - mmengine - INFO - Epoch(train) [1][1220/1320] lr: 2.0000e-03 eta: 5:05:08 time: 0.2250 data_time: 0.0128 memory: 11037 grad_norm: 9.9905 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7652 loss: 3.7652 2022/08/08 14:38:56 - mmengine - INFO - Epoch(train) [1][1240/1320] lr: 2.0000e-03 eta: 5:04:02 time: 0.2244 data_time: 0.0157 memory: 11037 grad_norm: 9.8757 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.5312 loss: 3.5312 2022/08/08 14:39:01 - mmengine - INFO - Epoch(train) [1][1260/1320] lr: 2.0000e-03 eta: 5:03:05 time: 0.2318 data_time: 0.0145 memory: 11037 grad_norm: 10.0910 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.7235 loss: 3.7235 2022/08/08 14:39:05 - mmengine - INFO - Epoch(train) [1][1280/1320] lr: 2.0000e-03 eta: 5:02:02 time: 0.2243 data_time: 0.0137 memory: 11037 grad_norm: 9.8618 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 3.5861 loss: 3.5861 2022/08/08 14:39:10 - mmengine - INFO - Epoch(train) [1][1300/1320] lr: 2.0000e-03 eta: 5:01:04 time: 0.2268 data_time: 0.0153 memory: 11037 grad_norm: 10.2444 top1_acc: 0.2500 top5_acc: 0.3125 loss_cls: 3.5037 loss: 3.5037 2022/08/08 14:39:14 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 14:39:14 - mmengine - INFO - Epoch(train) [1][1320/1320] lr: 2.0000e-03 eta: 4:59:57 time: 0.2170 data_time: 0.0122 memory: 11037 grad_norm: 10.3804 top1_acc: 0.1818 top5_acc: 0.2727 loss_cls: 3.5913 loss: 3.5913 2022/08/08 14:39:14 - mmengine - INFO - Saving checkpoint at 1 epochs 2022/08/08 14:40:15 - mmengine - INFO - Epoch(val) [1][20/194] eta: 0:08:28 time: 2.9234 data_time: 2.8519 memory: 1858 2022/08/08 14:40:18 - mmengine - INFO - Epoch(val) [1][40/194] eta: 0:00:18 time: 0.1187 data_time: 0.0461 memory: 1858 2022/08/08 14:40:20 - mmengine - INFO - Epoch(val) [1][60/194] eta: 0:00:16 time: 0.1236 data_time: 0.0508 memory: 1858 2022/08/08 14:40:23 - mmengine - INFO - Epoch(val) [1][80/194] eta: 0:00:13 time: 0.1142 data_time: 0.0420 memory: 1858 2022/08/08 14:40:25 - mmengine - INFO - Epoch(val) [1][100/194] eta: 0:00:11 time: 0.1274 data_time: 0.0527 memory: 1858 2022/08/08 14:40:27 - mmengine - INFO - Epoch(val) [1][120/194] eta: 0:00:08 time: 0.1180 data_time: 0.0440 memory: 1858 2022/08/08 14:40:30 - mmengine - INFO - Epoch(val) [1][140/194] eta: 0:00:06 time: 0.1254 data_time: 0.0539 memory: 1858 2022/08/08 14:40:32 - mmengine - INFO - Epoch(val) [1][160/194] eta: 0:00:04 time: 0.1223 data_time: 0.0490 memory: 1858 2022/08/08 14:40:35 - mmengine - INFO - Epoch(val) [1][180/194] eta: 0:00:01 time: 0.1252 data_time: 0.0552 memory: 1858 2022/08/08 14:40:37 - mmengine - INFO - Epoch(val) [1][194/194] acc/top1: 0.1955 acc/top5: 0.4408 acc/mean1: 0.1380 2022/08/08 14:40:39 - mmengine - INFO - The best checkpoint with 0.1955 acc/top1 at 2 epoch is saved to best_acc/top1_epoch_2.pth. 2022/08/08 14:40:39 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 14:40:44 - mmengine - INFO - Epoch(train) [2][20/1320] lr: 2.0000e-03 eta: 4:59:23 time: 0.2487 data_time: 0.0377 memory: 11037 grad_norm: 10.1535 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 3.5439 loss: 3.5439 2022/08/08 14:40:49 - mmengine - INFO - Epoch(train) [2][40/1320] lr: 2.0000e-03 eta: 4:58:26 time: 0.2234 data_time: 0.0144 memory: 11037 grad_norm: 9.9512 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 3.5362 loss: 3.5362 2022/08/08 14:40:53 - mmengine - INFO - Epoch(train) [2][60/1320] lr: 2.0000e-03 eta: 4:57:36 time: 0.2301 data_time: 0.0162 memory: 11037 grad_norm: 10.2251 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3575 loss: 3.3575 2022/08/08 14:40:58 - mmengine - INFO - Epoch(train) [2][80/1320] lr: 2.0000e-03 eta: 4:56:41 time: 0.2224 data_time: 0.0128 memory: 11037 grad_norm: 10.2161 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 3.5912 loss: 3.5912 2022/08/08 14:41:02 - mmengine - INFO - Epoch(train) [2][100/1320] lr: 2.0000e-03 eta: 4:55:47 time: 0.2223 data_time: 0.0124 memory: 11037 grad_norm: 10.1274 top1_acc: 0.0625 top5_acc: 0.5000 loss_cls: 3.7972 loss: 3.7972 2022/08/08 14:41:07 - mmengine - INFO - Epoch(train) [2][120/1320] lr: 2.0000e-03 eta: 4:54:56 time: 0.2240 data_time: 0.0142 memory: 11037 grad_norm: 10.5475 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.5806 loss: 3.5806 2022/08/08 14:41:11 - mmengine - INFO - Epoch(train) [2][140/1320] lr: 2.0000e-03 eta: 4:54:13 time: 0.2320 data_time: 0.0148 memory: 11037 grad_norm: 9.9868 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.5579 loss: 3.5579 2022/08/08 14:41:16 - mmengine - INFO - Epoch(train) [2][160/1320] lr: 2.0000e-03 eta: 4:53:22 time: 0.2217 data_time: 0.0124 memory: 11037 grad_norm: 9.8609 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.4855 loss: 3.4855 2022/08/08 14:41:20 - mmengine - INFO - Epoch(train) [2][180/1320] lr: 2.0000e-03 eta: 4:52:35 time: 0.2236 data_time: 0.0145 memory: 11037 grad_norm: 10.3828 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 3.5797 loss: 3.5797 2022/08/08 14:41:25 - mmengine - INFO - Epoch(train) [2][200/1320] lr: 2.0000e-03 eta: 4:51:49 time: 0.2242 data_time: 0.0134 memory: 11037 grad_norm: 10.1876 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6981 loss: 3.6981 2022/08/08 14:41:29 - mmengine - INFO - Epoch(train) [2][220/1320] lr: 2.0000e-03 eta: 4:51:02 time: 0.2226 data_time: 0.0135 memory: 11037 grad_norm: 9.9915 top1_acc: 0.0000 top5_acc: 0.4375 loss_cls: 3.5424 loss: 3.5424 2022/08/08 14:41:34 - mmengine - INFO - Epoch(train) [2][240/1320] lr: 2.0000e-03 eta: 4:50:23 time: 0.2302 data_time: 0.0157 memory: 11037 grad_norm: 10.4544 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4242 loss: 3.4242 2022/08/08 14:41:38 - mmengine - INFO - Epoch(train) [2][260/1320] lr: 2.0000e-03 eta: 4:49:39 time: 0.2231 data_time: 0.0129 memory: 11037 grad_norm: 10.7974 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.5646 loss: 3.5646 2022/08/08 14:41:43 - mmengine - INFO - Epoch(train) [2][280/1320] lr: 2.0000e-03 eta: 4:48:57 time: 0.2241 data_time: 0.0134 memory: 11037 grad_norm: 9.8893 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.3669 loss: 3.3669 2022/08/08 14:41:47 - mmengine - INFO - Epoch(train) [2][300/1320] lr: 2.0000e-03 eta: 4:48:16 time: 0.2243 data_time: 0.0153 memory: 11037 grad_norm: 10.9015 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5365 loss: 3.5365 2022/08/08 14:41:52 - mmengine - INFO - Epoch(train) [2][320/1320] lr: 2.0000e-03 eta: 4:47:40 time: 0.2294 data_time: 0.0163 memory: 11037 grad_norm: 9.9483 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.5458 loss: 3.5458 2022/08/08 14:41:56 - mmengine - INFO - Epoch(train) [2][340/1320] lr: 2.0000e-03 eta: 4:47:00 time: 0.2234 data_time: 0.0134 memory: 11037 grad_norm: 10.4095 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3025 loss: 3.3025 2022/08/08 14:42:01 - mmengine - INFO - Epoch(train) [2][360/1320] lr: 2.0000e-03 eta: 4:46:22 time: 0.2251 data_time: 0.0145 memory: 11037 grad_norm: 10.3725 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.3571 loss: 3.3571 2022/08/08 14:42:05 - mmengine - INFO - Epoch(train) [2][380/1320] lr: 2.0000e-03 eta: 4:45:44 time: 0.2240 data_time: 0.0143 memory: 11037 grad_norm: 11.1288 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.3956 loss: 3.3956 2022/08/08 14:42:10 - mmengine - INFO - Epoch(train) [2][400/1320] lr: 2.0000e-03 eta: 4:45:06 time: 0.2231 data_time: 0.0129 memory: 11037 grad_norm: 10.2033 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 3.4887 loss: 3.4887 2022/08/08 14:42:14 - mmengine - INFO - Epoch(train) [2][420/1320] lr: 2.0000e-03 eta: 4:44:36 time: 0.2324 data_time: 0.0164 memory: 11037 grad_norm: 10.4149 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.6280 loss: 3.6280 2022/08/08 14:42:19 - mmengine - INFO - Epoch(train) [2][440/1320] lr: 2.0000e-03 eta: 4:43:59 time: 0.2234 data_time: 0.0130 memory: 11037 grad_norm: 10.4042 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.1634 loss: 3.1634 2022/08/08 14:42:23 - mmengine - INFO - Epoch(train) [2][460/1320] lr: 2.0000e-03 eta: 4:43:24 time: 0.2243 data_time: 0.0123 memory: 11037 grad_norm: 10.2306 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.3595 loss: 3.3595 2022/08/08 14:42:28 - mmengine - INFO - Epoch(train) [2][480/1320] lr: 2.0000e-03 eta: 4:42:52 time: 0.2266 data_time: 0.0152 memory: 11037 grad_norm: 10.4358 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 3.5165 loss: 3.5165 2022/08/08 14:42:32 - mmengine - INFO - Epoch(train) [2][500/1320] lr: 2.0000e-03 eta: 4:42:18 time: 0.2236 data_time: 0.0138 memory: 11037 grad_norm: 10.3578 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.2439 loss: 3.2439 2022/08/08 14:42:37 - mmengine - INFO - Epoch(train) [2][520/1320] lr: 2.0000e-03 eta: 4:41:44 time: 0.2231 data_time: 0.0141 memory: 11037 grad_norm: 10.2529 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3374 loss: 3.3374 2022/08/08 14:42:41 - mmengine - INFO - Epoch(train) [2][540/1320] lr: 2.0000e-03 eta: 4:41:15 time: 0.2283 data_time: 0.0159 memory: 11037 grad_norm: 10.1690 top1_acc: 0.0625 top5_acc: 0.0625 loss_cls: 3.3858 loss: 3.3858 2022/08/08 14:42:46 - mmengine - INFO - Epoch(train) [2][560/1320] lr: 2.0000e-03 eta: 4:40:43 time: 0.2238 data_time: 0.0139 memory: 11037 grad_norm: 10.2533 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 3.4640 loss: 3.4640 2022/08/08 14:42:50 - mmengine - INFO - Epoch(train) [2][580/1320] lr: 2.0000e-03 eta: 4:40:11 time: 0.2230 data_time: 0.0138 memory: 11037 grad_norm: 9.9207 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.3691 loss: 3.3691 2022/08/08 14:42:55 - mmengine - INFO - Epoch(train) [2][600/1320] lr: 2.0000e-03 eta: 4:39:42 time: 0.2273 data_time: 0.0165 memory: 11037 grad_norm: 10.1927 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.3437 loss: 3.3437 2022/08/08 14:42:59 - mmengine - INFO - Epoch(train) [2][620/1320] lr: 2.0000e-03 eta: 4:39:12 time: 0.2239 data_time: 0.0133 memory: 11037 grad_norm: 10.3997 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 3.4594 loss: 3.4594 2022/08/08 14:43:04 - mmengine - INFO - Epoch(train) [2][640/1320] lr: 2.0000e-03 eta: 4:38:41 time: 0.2233 data_time: 0.0122 memory: 11037 grad_norm: 10.2280 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1499 loss: 3.1499 2022/08/08 14:43:08 - mmengine - INFO - Epoch(train) [2][660/1320] lr: 2.0000e-03 eta: 4:38:14 time: 0.2269 data_time: 0.0165 memory: 11037 grad_norm: 10.3246 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 3.2438 loss: 3.2438 2022/08/08 14:43:13 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 14:43:13 - mmengine - INFO - Epoch(train) [2][680/1320] lr: 2.0000e-03 eta: 4:37:46 time: 0.2247 data_time: 0.0153 memory: 11037 grad_norm: 10.1066 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.4197 loss: 3.4197 2022/08/08 14:43:17 - mmengine - INFO - Epoch(train) [2][700/1320] lr: 2.0000e-03 eta: 4:37:17 time: 0.2234 data_time: 0.0142 memory: 11037 grad_norm: 10.1027 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 3.5155 loss: 3.5155 2022/08/08 14:43:22 - mmengine - INFO - Epoch(train) [2][720/1320] lr: 2.0000e-03 eta: 4:36:51 time: 0.2262 data_time: 0.0149 memory: 11037 grad_norm: 10.1571 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 3.2111 loss: 3.2111 2022/08/08 14:43:26 - mmengine - INFO - Epoch(train) [2][740/1320] lr: 2.0000e-03 eta: 4:36:24 time: 0.2251 data_time: 0.0162 memory: 11037 grad_norm: 10.4620 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 3.3838 loss: 3.3838 2022/08/08 14:43:31 - mmengine - INFO - Epoch(train) [2][760/1320] lr: 2.0000e-03 eta: 4:35:57 time: 0.2233 data_time: 0.0133 memory: 11037 grad_norm: 10.3270 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.4239 loss: 3.4239 2022/08/08 14:43:35 - mmengine - INFO - Epoch(train) [2][780/1320] lr: 2.0000e-03 eta: 4:35:30 time: 0.2241 data_time: 0.0144 memory: 11037 grad_norm: 10.5021 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 3.1648 loss: 3.1648 2022/08/08 14:43:40 - mmengine - INFO - Epoch(train) [2][800/1320] lr: 2.0000e-03 eta: 4:35:04 time: 0.2237 data_time: 0.0158 memory: 11037 grad_norm: 10.2915 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.4641 loss: 3.4641 2022/08/08 14:43:44 - mmengine - INFO - Epoch(train) [2][820/1320] lr: 2.0000e-03 eta: 4:34:39 time: 0.2252 data_time: 0.0147 memory: 11037 grad_norm: 10.3597 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.2649 loss: 3.2649 2022/08/08 14:43:49 - mmengine - INFO - Epoch(train) [2][840/1320] lr: 2.0000e-03 eta: 4:34:14 time: 0.2247 data_time: 0.0156 memory: 11037 grad_norm: 10.1772 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 3.3501 loss: 3.3501 2022/08/08 14:43:53 - mmengine - INFO - Epoch(train) [2][860/1320] lr: 2.0000e-03 eta: 4:33:51 time: 0.2264 data_time: 0.0147 memory: 11037 grad_norm: 10.7553 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 3.2654 loss: 3.2654 2022/08/08 14:43:58 - mmengine - INFO - Epoch(train) [2][880/1320] lr: 2.0000e-03 eta: 4:33:25 time: 0.2228 data_time: 0.0128 memory: 11037 grad_norm: 10.2445 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3163 loss: 3.3163 2022/08/08 14:44:02 - mmengine - INFO - Epoch(train) [2][900/1320] lr: 2.0000e-03 eta: 4:33:01 time: 0.2244 data_time: 0.0155 memory: 11037 grad_norm: 10.2828 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3216 loss: 3.3216 2022/08/08 14:44:07 - mmengine - INFO - Epoch(train) [2][920/1320] lr: 2.0000e-03 eta: 4:32:38 time: 0.2252 data_time: 0.0140 memory: 11037 grad_norm: 10.1826 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.1864 loss: 3.1864 2022/08/08 14:44:11 - mmengine - INFO - Epoch(train) [2][940/1320] lr: 2.0000e-03 eta: 4:32:22 time: 0.2369 data_time: 0.0143 memory: 11037 grad_norm: 9.9340 top1_acc: 0.1250 top5_acc: 0.6875 loss_cls: 3.3488 loss: 3.3488 2022/08/08 14:44:16 - mmengine - INFO - Epoch(train) [2][960/1320] lr: 2.0000e-03 eta: 4:31:59 time: 0.2245 data_time: 0.0153 memory: 11037 grad_norm: 10.1950 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2311 loss: 3.2311 2022/08/08 14:44:20 - mmengine - INFO - Epoch(train) [2][980/1320] lr: 2.0000e-03 eta: 4:31:35 time: 0.2228 data_time: 0.0128 memory: 11037 grad_norm: 10.5660 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.1804 loss: 3.1804 2022/08/08 14:44:25 - mmengine - INFO - Epoch(train) [2][1000/1320] lr: 2.0000e-03 eta: 4:31:14 time: 0.2260 data_time: 0.0139 memory: 11037 grad_norm: 10.3293 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.1631 loss: 3.1631 2022/08/08 14:44:29 - mmengine - INFO - Epoch(train) [2][1020/1320] lr: 2.0000e-03 eta: 4:30:52 time: 0.2243 data_time: 0.0149 memory: 11037 grad_norm: 9.9455 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.0892 loss: 3.0892 2022/08/08 14:44:34 - mmengine - INFO - Epoch(train) [2][1040/1320] lr: 2.0000e-03 eta: 4:30:30 time: 0.2238 data_time: 0.0138 memory: 11037 grad_norm: 10.0423 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 3.2041 loss: 3.2041 2022/08/08 14:44:38 - mmengine - INFO - Epoch(train) [2][1060/1320] lr: 2.0000e-03 eta: 4:30:08 time: 0.2229 data_time: 0.0126 memory: 11037 grad_norm: 10.5870 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1444 loss: 3.1444 2022/08/08 14:44:43 - mmengine - INFO - Epoch(train) [2][1080/1320] lr: 2.0000e-03 eta: 4:29:51 time: 0.2341 data_time: 0.0154 memory: 11037 grad_norm: 10.2095 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.3384 loss: 3.3384 2022/08/08 14:44:47 - mmengine - INFO - Epoch(train) [2][1100/1320] lr: 2.0000e-03 eta: 4:29:30 time: 0.2229 data_time: 0.0137 memory: 11037 grad_norm: 10.0869 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2267 loss: 3.2267 2022/08/08 14:44:52 - mmengine - INFO - Epoch(train) [2][1120/1320] lr: 2.0000e-03 eta: 4:29:09 time: 0.2236 data_time: 0.0130 memory: 11037 grad_norm: 10.2007 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.3795 loss: 3.3795 2022/08/08 14:44:56 - mmengine - INFO - Epoch(train) [2][1140/1320] lr: 2.0000e-03 eta: 4:28:49 time: 0.2250 data_time: 0.0153 memory: 11037 grad_norm: 10.6768 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.1674 loss: 3.1674 2022/08/08 14:45:01 - mmengine - INFO - Epoch(train) [2][1160/1320] lr: 2.0000e-03 eta: 4:28:32 time: 0.2319 data_time: 0.0140 memory: 11037 grad_norm: 10.4153 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 3.2968 loss: 3.2968 2022/08/08 14:45:05 - mmengine - INFO - Epoch(train) [2][1180/1320] lr: 2.0000e-03 eta: 4:28:12 time: 0.2247 data_time: 0.0152 memory: 11037 grad_norm: 10.3867 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.2882 loss: 3.2882 2022/08/08 14:45:10 - mmengine - INFO - Epoch(train) [2][1200/1320] lr: 2.0000e-03 eta: 4:27:54 time: 0.2260 data_time: 0.0149 memory: 11037 grad_norm: 10.3591 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.1911 loss: 3.1911 2022/08/08 14:45:14 - mmengine - INFO - Epoch(train) [2][1220/1320] lr: 2.0000e-03 eta: 4:27:34 time: 0.2250 data_time: 0.0130 memory: 11037 grad_norm: 10.1762 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.2796 loss: 3.2796 2022/08/08 14:45:19 - mmengine - INFO - Epoch(train) [2][1240/1320] lr: 2.0000e-03 eta: 4:27:15 time: 0.2237 data_time: 0.0120 memory: 11037 grad_norm: 10.1085 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.4291 loss: 3.4291 2022/08/08 14:45:23 - mmengine - INFO - Epoch(train) [2][1260/1320] lr: 2.0000e-03 eta: 4:26:56 time: 0.2249 data_time: 0.0167 memory: 11037 grad_norm: 10.1270 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.3490 loss: 3.3490 2022/08/08 14:45:28 - mmengine - INFO - Epoch(train) [2][1280/1320] lr: 2.0000e-03 eta: 4:26:37 time: 0.2232 data_time: 0.0136 memory: 11037 grad_norm: 10.0276 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 3.1980 loss: 3.1980 2022/08/08 14:45:32 - mmengine - INFO - Epoch(train) [2][1300/1320] lr: 2.0000e-03 eta: 4:26:19 time: 0.2256 data_time: 0.0128 memory: 11037 grad_norm: 10.6100 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1040 loss: 3.1040 2022/08/08 14:45:37 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 14:45:37 - mmengine - INFO - Epoch(train) [2][1320/1320] lr: 2.0000e-03 eta: 4:25:56 time: 0.2153 data_time: 0.0142 memory: 11037 grad_norm: 10.8454 top1_acc: 0.1818 top5_acc: 0.3636 loss_cls: 3.2499 loss: 3.2499 2022/08/08 14:45:37 - mmengine - INFO - Saving checkpoint at 2 epochs 2022/08/08 14:45:42 - mmengine - INFO - Epoch(val) [2][20/194] eta: 0:00:29 time: 0.1672 data_time: 0.0894 memory: 1858 2022/08/08 14:45:45 - mmengine - INFO - Epoch(val) [2][40/194] eta: 0:00:16 time: 0.1093 data_time: 0.0312 memory: 1858 2022/08/08 14:45:47 - mmengine - INFO - Epoch(val) [2][60/194] eta: 0:00:15 time: 0.1121 data_time: 0.0357 memory: 1858 2022/08/08 14:45:49 - mmengine - INFO - Epoch(val) [2][80/194] eta: 0:00:11 time: 0.1023 data_time: 0.0258 memory: 1858 2022/08/08 14:45:51 - mmengine - INFO - Epoch(val) [2][100/194] eta: 0:00:11 time: 0.1226 data_time: 0.0466 memory: 1858 2022/08/08 14:45:54 - mmengine - INFO - Epoch(val) [2][120/194] eta: 0:00:09 time: 0.1218 data_time: 0.0447 memory: 1858 2022/08/08 14:45:56 - mmengine - INFO - Epoch(val) [2][140/194] eta: 0:00:05 time: 0.1079 data_time: 0.0314 memory: 1858 2022/08/08 14:45:58 - mmengine - INFO - Epoch(val) [2][160/194] eta: 0:00:03 time: 0.1021 data_time: 0.0276 memory: 1858 2022/08/08 14:46:00 - mmengine - INFO - Epoch(val) [2][180/194] eta: 0:00:01 time: 0.0800 data_time: 0.0223 memory: 1858 2022/08/08 14:46:01 - mmengine - INFO - Epoch(val) [2][194/194] acc/top1: 0.2634 acc/top5: 0.5383 acc/mean1: 0.1944 2022/08/08 14:46:01 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_2.pth is removed 2022/08/08 14:46:03 - mmengine - INFO - The best checkpoint with 0.2634 acc/top1 at 3 epoch is saved to best_acc/top1_epoch_3.pth. 2022/08/08 14:46:03 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 14:46:08 - mmengine - INFO - Epoch(train) [3][20/1320] lr: 2.0000e-03 eta: 4:25:50 time: 0.2489 data_time: 0.0427 memory: 11037 grad_norm: 10.3854 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.0228 loss: 3.0228 2022/08/08 14:46:12 - mmengine - INFO - Epoch(train) [3][40/1320] lr: 2.0000e-03 eta: 4:25:31 time: 0.2232 data_time: 0.0142 memory: 11037 grad_norm: 10.1210 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.1621 loss: 3.1621 2022/08/08 14:46:17 - mmengine - INFO - Epoch(train) [3][60/1320] lr: 2.0000e-03 eta: 4:25:14 time: 0.2256 data_time: 0.0155 memory: 11037 grad_norm: 10.4622 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.1614 loss: 3.1614 2022/08/08 14:46:21 - mmengine - INFO - Epoch(train) [3][80/1320] lr: 2.0000e-03 eta: 4:24:59 time: 0.2296 data_time: 0.0127 memory: 11037 grad_norm: 10.7717 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.0155 loss: 3.0155 2022/08/08 14:46:26 - mmengine - INFO - Epoch(train) [3][100/1320] lr: 2.0000e-03 eta: 4:24:41 time: 0.2233 data_time: 0.0147 memory: 11037 grad_norm: 10.6360 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.1384 loss: 3.1384 2022/08/08 14:46:30 - mmengine - INFO - Epoch(train) [3][120/1320] lr: 2.0000e-03 eta: 4:24:23 time: 0.2240 data_time: 0.0156 memory: 11037 grad_norm: 10.0607 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.1985 loss: 3.1985 2022/08/08 14:46:35 - mmengine - INFO - Epoch(train) [3][140/1320] lr: 2.0000e-03 eta: 4:24:07 time: 0.2262 data_time: 0.0154 memory: 11037 grad_norm: 10.8383 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.0984 loss: 3.0984 2022/08/08 14:46:39 - mmengine - INFO - Epoch(train) [3][160/1320] lr: 2.0000e-03 eta: 4:23:50 time: 0.2234 data_time: 0.0140 memory: 11037 grad_norm: 10.2897 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.3492 loss: 3.3492 2022/08/08 14:46:44 - mmengine - INFO - Epoch(train) [3][180/1320] lr: 2.0000e-03 eta: 4:23:35 time: 0.2298 data_time: 0.0153 memory: 11037 grad_norm: 10.1525 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.1743 loss: 3.1743 2022/08/08 14:46:48 - mmengine - INFO - Epoch(train) [3][200/1320] lr: 2.0000e-03 eta: 4:23:18 time: 0.2233 data_time: 0.0135 memory: 11037 grad_norm: 10.3099 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.3004 loss: 3.3004 2022/08/08 14:46:53 - mmengine - INFO - Epoch(train) [3][220/1320] lr: 2.0000e-03 eta: 4:23:02 time: 0.2243 data_time: 0.0151 memory: 11037 grad_norm: 10.5357 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0879 loss: 3.0879 2022/08/08 14:46:57 - mmengine - INFO - Epoch(train) [3][240/1320] lr: 2.0000e-03 eta: 4:22:46 time: 0.2251 data_time: 0.0151 memory: 11037 grad_norm: 10.9678 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9518 loss: 2.9518 2022/08/08 14:47:02 - mmengine - INFO - Epoch(train) [3][260/1320] lr: 2.0000e-03 eta: 4:22:35 time: 0.2355 data_time: 0.0154 memory: 11037 grad_norm: 10.3716 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.9975 loss: 2.9975 2022/08/08 14:47:07 - mmengine - INFO - Epoch(train) [3][280/1320] lr: 2.0000e-03 eta: 4:22:19 time: 0.2238 data_time: 0.0142 memory: 11037 grad_norm: 10.3446 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.0754 loss: 3.0754 2022/08/08 14:47:11 - mmengine - INFO - Epoch(train) [3][300/1320] lr: 2.0000e-03 eta: 4:22:03 time: 0.2247 data_time: 0.0152 memory: 11037 grad_norm: 10.9939 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.0889 loss: 3.0889 2022/08/08 14:47:15 - mmengine - INFO - Epoch(train) [3][320/1320] lr: 2.0000e-03 eta: 4:21:47 time: 0.2235 data_time: 0.0144 memory: 11037 grad_norm: 10.5985 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 3.2180 loss: 3.2180 2022/08/08 14:47:20 - mmengine - INFO - Epoch(train) [3][340/1320] lr: 2.0000e-03 eta: 4:21:31 time: 0.2235 data_time: 0.0140 memory: 11037 grad_norm: 10.3817 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 3.3532 loss: 3.3532 2022/08/08 14:47:25 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 14:47:25 - mmengine - INFO - Epoch(train) [3][360/1320] lr: 2.0000e-03 eta: 4:21:19 time: 0.2319 data_time: 0.0145 memory: 11037 grad_norm: 10.4955 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8662 loss: 2.8662 2022/08/08 14:47:29 - mmengine - INFO - Epoch(train) [3][380/1320] lr: 2.0000e-03 eta: 4:21:03 time: 0.2227 data_time: 0.0150 memory: 11037 grad_norm: 10.1870 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 3.0974 loss: 3.0974 2022/08/08 14:47:34 - mmengine - INFO - Epoch(train) [3][400/1320] lr: 2.0000e-03 eta: 4:20:48 time: 0.2248 data_time: 0.0153 memory: 11037 grad_norm: 10.2305 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 3.0596 loss: 3.0596 2022/08/08 14:47:38 - mmengine - INFO - Epoch(train) [3][420/1320] lr: 2.0000e-03 eta: 4:20:33 time: 0.2244 data_time: 0.0152 memory: 11037 grad_norm: 10.3296 top1_acc: 0.0000 top5_acc: 0.3125 loss_cls: 3.0002 loss: 3.0002 2022/08/08 14:47:43 - mmengine - INFO - Epoch(train) [3][440/1320] lr: 2.0000e-03 eta: 4:20:21 time: 0.2308 data_time: 0.0148 memory: 11037 grad_norm: 10.7917 top1_acc: 0.1250 top5_acc: 0.6875 loss_cls: 3.0224 loss: 3.0224 2022/08/08 14:47:47 - mmengine - INFO - Epoch(train) [3][460/1320] lr: 2.0000e-03 eta: 4:20:06 time: 0.2228 data_time: 0.0137 memory: 11037 grad_norm: 10.3794 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.0865 loss: 3.0865 2022/08/08 14:47:52 - mmengine - INFO - Epoch(train) [3][480/1320] lr: 2.0000e-03 eta: 4:19:52 time: 0.2249 data_time: 0.0155 memory: 11037 grad_norm: 10.2881 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.1931 loss: 3.1931 2022/08/08 14:47:56 - mmengine - INFO - Epoch(train) [3][500/1320] lr: 2.0000e-03 eta: 4:19:36 time: 0.2215 data_time: 0.0136 memory: 11037 grad_norm: 10.5247 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2351 loss: 3.2351 2022/08/08 14:48:01 - mmengine - INFO - Epoch(train) [3][520/1320] lr: 2.0000e-03 eta: 4:19:23 time: 0.2267 data_time: 0.0154 memory: 11037 grad_norm: 10.6343 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.0778 loss: 3.0778 2022/08/08 14:48:05 - mmengine - INFO - Epoch(train) [3][540/1320] lr: 2.0000e-03 eta: 4:19:08 time: 0.2242 data_time: 0.0147 memory: 11037 grad_norm: 10.4152 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 2.9902 loss: 2.9902 2022/08/08 14:48:10 - mmengine - INFO - Epoch(train) [3][560/1320] lr: 2.0000e-03 eta: 4:18:54 time: 0.2237 data_time: 0.0140 memory: 11037 grad_norm: 10.3110 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 3.0709 loss: 3.0709 2022/08/08 14:48:14 - mmengine - INFO - Epoch(train) [3][580/1320] lr: 2.0000e-03 eta: 4:18:41 time: 0.2260 data_time: 0.0170 memory: 11037 grad_norm: 10.3456 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.9419 loss: 2.9419 2022/08/08 14:48:19 - mmengine - INFO - Epoch(train) [3][600/1320] lr: 2.0000e-03 eta: 4:18:27 time: 0.2248 data_time: 0.0154 memory: 11037 grad_norm: 10.5612 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.9666 loss: 2.9666 2022/08/08 14:48:23 - mmengine - INFO - Epoch(train) [3][620/1320] lr: 2.0000e-03 eta: 4:18:14 time: 0.2259 data_time: 0.0146 memory: 11037 grad_norm: 10.5348 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0715 loss: 3.0715 2022/08/08 14:48:28 - mmengine - INFO - Epoch(train) [3][640/1320] lr: 2.0000e-03 eta: 4:18:00 time: 0.2229 data_time: 0.0137 memory: 11037 grad_norm: 10.1995 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.2421 loss: 3.2421 2022/08/08 14:48:32 - mmengine - INFO - Epoch(train) [3][660/1320] lr: 2.0000e-03 eta: 4:17:47 time: 0.2250 data_time: 0.0147 memory: 11037 grad_norm: 10.6297 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.1861 loss: 3.1861 2022/08/08 14:48:37 - mmengine - INFO - Epoch(train) [3][680/1320] lr: 2.0000e-03 eta: 4:17:33 time: 0.2238 data_time: 0.0124 memory: 11037 grad_norm: 10.2440 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.0167 loss: 3.0167 2022/08/08 14:48:41 - mmengine - INFO - Epoch(train) [3][700/1320] lr: 2.0000e-03 eta: 4:17:21 time: 0.2267 data_time: 0.0147 memory: 11037 grad_norm: 10.1230 top1_acc: 0.1250 top5_acc: 0.1875 loss_cls: 3.1173 loss: 3.1173 2022/08/08 14:48:46 - mmengine - INFO - Epoch(train) [3][720/1320] lr: 2.0000e-03 eta: 4:17:07 time: 0.2241 data_time: 0.0149 memory: 11037 grad_norm: 10.3932 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.7712 loss: 2.7712 2022/08/08 14:48:50 - mmengine - INFO - Epoch(train) [3][740/1320] lr: 2.0000e-03 eta: 4:16:54 time: 0.2242 data_time: 0.0138 memory: 11037 grad_norm: 10.4306 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.9482 loss: 2.9482 2022/08/08 14:48:55 - mmengine - INFO - Epoch(train) [3][760/1320] lr: 2.0000e-03 eta: 4:16:42 time: 0.2249 data_time: 0.0138 memory: 11037 grad_norm: 10.3126 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.2596 loss: 3.2596 2022/08/08 14:48:59 - mmengine - INFO - Epoch(train) [3][780/1320] lr: 2.0000e-03 eta: 4:16:29 time: 0.2250 data_time: 0.0154 memory: 11037 grad_norm: 10.6261 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.9196 loss: 2.9196 2022/08/08 14:49:04 - mmengine - INFO - Epoch(train) [3][800/1320] lr: 2.0000e-03 eta: 4:16:17 time: 0.2272 data_time: 0.0134 memory: 11037 grad_norm: 10.1437 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.0101 loss: 3.0101 2022/08/08 14:49:08 - mmengine - INFO - Epoch(train) [3][820/1320] lr: 2.0000e-03 eta: 4:16:04 time: 0.2236 data_time: 0.0148 memory: 11037 grad_norm: 10.1527 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.9496 loss: 2.9496 2022/08/08 14:49:13 - mmengine - INFO - Epoch(train) [3][840/1320] lr: 2.0000e-03 eta: 4:15:52 time: 0.2254 data_time: 0.0147 memory: 11037 grad_norm: 10.3285 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.9228 loss: 2.9228 2022/08/08 14:49:17 - mmengine - INFO - Epoch(train) [3][860/1320] lr: 2.0000e-03 eta: 4:15:39 time: 0.2227 data_time: 0.0126 memory: 11037 grad_norm: 10.3496 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 3.0872 loss: 3.0872 2022/08/08 14:49:22 - mmengine - INFO - Epoch(train) [3][880/1320] lr: 2.0000e-03 eta: 4:15:27 time: 0.2261 data_time: 0.0144 memory: 11037 grad_norm: 10.5687 top1_acc: 0.1250 top5_acc: 0.6875 loss_cls: 2.9695 loss: 2.9695 2022/08/08 14:49:26 - mmengine - INFO - Epoch(train) [3][900/1320] lr: 2.0000e-03 eta: 4:15:15 time: 0.2241 data_time: 0.0141 memory: 11037 grad_norm: 10.7873 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.9624 loss: 2.9624 2022/08/08 14:49:30 - mmengine - INFO - Epoch(train) [3][920/1320] lr: 2.0000e-03 eta: 4:15:02 time: 0.2222 data_time: 0.0128 memory: 11037 grad_norm: 10.5530 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 3.0548 loss: 3.0548 2022/08/08 14:49:35 - mmengine - INFO - Epoch(train) [3][940/1320] lr: 2.0000e-03 eta: 4:14:50 time: 0.2252 data_time: 0.0140 memory: 11037 grad_norm: 10.1928 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.9475 loss: 2.9475 2022/08/08 14:49:39 - mmengine - INFO - Epoch(train) [3][960/1320] lr: 2.0000e-03 eta: 4:14:38 time: 0.2248 data_time: 0.0149 memory: 11037 grad_norm: 10.5943 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.9377 loss: 2.9377 2022/08/08 14:49:44 - mmengine - INFO - Epoch(train) [3][980/1320] lr: 2.0000e-03 eta: 4:14:27 time: 0.2264 data_time: 0.0145 memory: 11037 grad_norm: 10.1408 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.0457 loss: 3.0457 2022/08/08 14:49:48 - mmengine - INFO - Epoch(train) [3][1000/1320] lr: 2.0000e-03 eta: 4:14:14 time: 0.2221 data_time: 0.0133 memory: 11037 grad_norm: 10.4062 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0573 loss: 3.0573 2022/08/08 14:49:53 - mmengine - INFO - Epoch(train) [3][1020/1320] lr: 2.0000e-03 eta: 4:14:03 time: 0.2258 data_time: 0.0148 memory: 11037 grad_norm: 10.3312 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 3.1249 loss: 3.1249 2022/08/08 14:49:57 - mmengine - INFO - Epoch(train) [3][1040/1320] lr: 2.0000e-03 eta: 4:13:51 time: 0.2232 data_time: 0.0135 memory: 11037 grad_norm: 10.5997 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.0360 loss: 3.0360 2022/08/08 14:50:02 - mmengine - INFO - Epoch(train) [3][1060/1320] lr: 2.0000e-03 eta: 4:13:40 time: 0.2258 data_time: 0.0143 memory: 11037 grad_norm: 10.3065 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.8939 loss: 2.8939 2022/08/08 14:50:06 - mmengine - INFO - Epoch(train) [3][1080/1320] lr: 2.0000e-03 eta: 4:13:29 time: 0.2266 data_time: 0.0166 memory: 11037 grad_norm: 10.3571 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.2735 loss: 3.2735 2022/08/08 14:50:11 - mmengine - INFO - Epoch(train) [3][1100/1320] lr: 2.0000e-03 eta: 4:13:17 time: 0.2242 data_time: 0.0140 memory: 11037 grad_norm: 10.4160 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9620 loss: 2.9620 2022/08/08 14:50:15 - mmengine - INFO - Epoch(train) [3][1120/1320] lr: 2.0000e-03 eta: 4:13:06 time: 0.2235 data_time: 0.0147 memory: 11037 grad_norm: 10.3277 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.0607 loss: 3.0607 2022/08/08 14:50:20 - mmengine - INFO - Epoch(train) [3][1140/1320] lr: 2.0000e-03 eta: 4:12:55 time: 0.2253 data_time: 0.0145 memory: 11037 grad_norm: 9.8230 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.9778 loss: 2.9778 2022/08/08 14:50:24 - mmengine - INFO - Epoch(train) [3][1160/1320] lr: 2.0000e-03 eta: 4:12:44 time: 0.2263 data_time: 0.0134 memory: 11037 grad_norm: 10.4467 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 3.1024 loss: 3.1024 2022/08/08 14:50:29 - mmengine - INFO - Epoch(train) [3][1180/1320] lr: 2.0000e-03 eta: 4:12:33 time: 0.2241 data_time: 0.0132 memory: 11037 grad_norm: 10.3063 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.2995 loss: 3.2995 2022/08/08 14:50:33 - mmengine - INFO - Epoch(train) [3][1200/1320] lr: 2.0000e-03 eta: 4:12:22 time: 0.2265 data_time: 0.0166 memory: 11037 grad_norm: 10.1294 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.0676 loss: 3.0676 2022/08/08 14:50:38 - mmengine - INFO - Epoch(train) [3][1220/1320] lr: 2.0000e-03 eta: 4:12:11 time: 0.2237 data_time: 0.0139 memory: 11037 grad_norm: 10.2951 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.7528 loss: 2.7528 2022/08/08 14:50:43 - mmengine - INFO - Epoch(train) [3][1240/1320] lr: 2.0000e-03 eta: 4:12:02 time: 0.2303 data_time: 0.0161 memory: 11037 grad_norm: 10.1859 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.0081 loss: 3.0081 2022/08/08 14:50:47 - mmengine - INFO - Epoch(train) [3][1260/1320] lr: 2.0000e-03 eta: 4:11:51 time: 0.2237 data_time: 0.0140 memory: 11037 grad_norm: 10.3154 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.1008 loss: 3.1008 2022/08/08 14:50:52 - mmengine - INFO - Epoch(train) [3][1280/1320] lr: 2.0000e-03 eta: 4:11:44 time: 0.2367 data_time: 0.0156 memory: 11037 grad_norm: 9.9535 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.1778 loss: 3.1778 2022/08/08 14:50:56 - mmengine - INFO - Epoch(train) [3][1300/1320] lr: 2.0000e-03 eta: 4:11:33 time: 0.2235 data_time: 0.0139 memory: 11037 grad_norm: 10.2174 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9462 loss: 2.9462 2022/08/08 14:51:00 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 14:51:00 - mmengine - INFO - Epoch(train) [3][1320/1320] lr: 2.0000e-03 eta: 4:11:19 time: 0.2139 data_time: 0.0137 memory: 11037 grad_norm: 9.8853 top1_acc: 0.2727 top5_acc: 0.5455 loss_cls: 3.1730 loss: 3.1730 2022/08/08 14:51:00 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/08/08 14:51:06 - mmengine - INFO - Epoch(val) [3][20/194] eta: 0:00:28 time: 0.1649 data_time: 0.0914 memory: 1858 2022/08/08 14:51:09 - mmengine - INFO - Epoch(val) [3][40/194] eta: 0:00:16 time: 0.1096 data_time: 0.0343 memory: 1858 2022/08/08 14:51:11 - mmengine - INFO - Epoch(val) [3][60/194] eta: 0:00:14 time: 0.1114 data_time: 0.0324 memory: 1858 2022/08/08 14:51:13 - mmengine - INFO - Epoch(val) [3][80/194] eta: 0:00:11 time: 0.1027 data_time: 0.0248 memory: 1858 2022/08/08 14:51:15 - mmengine - INFO - Epoch(val) [3][100/194] eta: 0:00:11 time: 0.1236 data_time: 0.0461 memory: 1858 2022/08/08 14:51:18 - mmengine - INFO - Epoch(val) [3][120/194] eta: 0:00:08 time: 0.1085 data_time: 0.0313 memory: 1858 2022/08/08 14:51:20 - mmengine - INFO - Epoch(val) [3][140/194] eta: 0:00:06 time: 0.1234 data_time: 0.0459 memory: 1858 2022/08/08 14:51:22 - mmengine - INFO - Epoch(val) [3][160/194] eta: 0:00:03 time: 0.1006 data_time: 0.0276 memory: 1858 2022/08/08 14:51:24 - mmengine - INFO - Epoch(val) [3][180/194] eta: 0:00:01 time: 0.0765 data_time: 0.0190 memory: 1858 2022/08/08 14:51:25 - mmengine - INFO - Epoch(val) [3][194/194] acc/top1: 0.3073 acc/top5: 0.5896 acc/mean1: 0.2318 2022/08/08 14:51:25 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_3.pth is removed 2022/08/08 14:51:27 - mmengine - INFO - The best checkpoint with 0.3073 acc/top1 at 4 epoch is saved to best_acc/top1_epoch_4.pth. 2022/08/08 14:51:27 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 14:51:32 - mmengine - INFO - Epoch(train) [4][20/1320] lr: 2.0000e-03 eta: 4:11:16 time: 0.2497 data_time: 0.0381 memory: 11037 grad_norm: 10.4951 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 2.9518 loss: 2.9518 2022/08/08 14:51:36 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 14:51:36 - mmengine - INFO - Epoch(train) [4][40/1320] lr: 2.0000e-03 eta: 4:11:05 time: 0.2240 data_time: 0.0127 memory: 11037 grad_norm: 10.0771 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8754 loss: 2.8754 2022/08/08 14:51:41 - mmengine - INFO - Epoch(train) [4][60/1320] lr: 2.0000e-03 eta: 4:10:55 time: 0.2256 data_time: 0.0170 memory: 11037 grad_norm: 10.5401 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0839 loss: 3.0839 2022/08/08 14:51:45 - mmengine - INFO - Epoch(train) [4][80/1320] lr: 2.0000e-03 eta: 4:10:48 time: 0.2359 data_time: 0.0139 memory: 11037 grad_norm: 10.7202 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.9395 loss: 2.9395 2022/08/08 14:51:50 - mmengine - INFO - Epoch(train) [4][100/1320] lr: 2.0000e-03 eta: 4:10:38 time: 0.2282 data_time: 0.0134 memory: 11037 grad_norm: 10.5650 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 3.0118 loss: 3.0118 2022/08/08 14:51:54 - mmengine - INFO - Epoch(train) [4][120/1320] lr: 2.0000e-03 eta: 4:10:28 time: 0.2247 data_time: 0.0153 memory: 11037 grad_norm: 10.1300 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.9550 loss: 2.9550 2022/08/08 14:51:59 - mmengine - INFO - Epoch(train) [4][140/1320] lr: 2.0000e-03 eta: 4:10:17 time: 0.2225 data_time: 0.0130 memory: 11037 grad_norm: 10.2854 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.7656 loss: 2.7656 2022/08/08 14:52:04 - mmengine - INFO - Epoch(train) [4][160/1320] lr: 2.0000e-03 eta: 4:10:09 time: 0.2333 data_time: 0.0147 memory: 11037 grad_norm: 10.4480 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.8801 loss: 2.8801 2022/08/08 14:52:08 - mmengine - INFO - Epoch(train) [4][180/1320] lr: 2.0000e-03 eta: 4:10:00 time: 0.2261 data_time: 0.0152 memory: 11037 grad_norm: 10.3934 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0793 loss: 3.0793 2022/08/08 14:52:13 - mmengine - INFO - Epoch(train) [4][200/1320] lr: 2.0000e-03 eta: 4:09:49 time: 0.2239 data_time: 0.0134 memory: 11037 grad_norm: 9.9745 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.7524 loss: 2.7524 2022/08/08 14:52:17 - mmengine - INFO - Epoch(train) [4][220/1320] lr: 2.0000e-03 eta: 4:09:39 time: 0.2237 data_time: 0.0137 memory: 11037 grad_norm: 10.2492 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.8650 loss: 2.8650 2022/08/08 14:52:22 - mmengine - INFO - Epoch(train) [4][240/1320] lr: 2.0000e-03 eta: 4:09:31 time: 0.2316 data_time: 0.0173 memory: 11037 grad_norm: 10.5520 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.9798 loss: 2.9798 2022/08/08 14:52:26 - mmengine - INFO - Epoch(train) [4][260/1320] lr: 2.0000e-03 eta: 4:09:21 time: 0.2236 data_time: 0.0155 memory: 11037 grad_norm: 10.8178 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.7916 loss: 2.7916 2022/08/08 14:52:31 - mmengine - INFO - Epoch(train) [4][280/1320] lr: 2.0000e-03 eta: 4:09:11 time: 0.2241 data_time: 0.0134 memory: 11037 grad_norm: 10.3265 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.9764 loss: 2.9764 2022/08/08 14:52:35 - mmengine - INFO - Epoch(train) [4][300/1320] lr: 2.0000e-03 eta: 4:09:01 time: 0.2244 data_time: 0.0156 memory: 11037 grad_norm: 10.3870 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.7731 loss: 2.7731 2022/08/08 14:52:40 - mmengine - INFO - Epoch(train) [4][320/1320] lr: 2.0000e-03 eta: 4:08:50 time: 0.2224 data_time: 0.0137 memory: 11037 grad_norm: 10.7074 top1_acc: 0.0625 top5_acc: 0.5625 loss_cls: 3.0661 loss: 3.0661 2022/08/08 14:52:44 - mmengine - INFO - Epoch(train) [4][340/1320] lr: 2.0000e-03 eta: 4:08:42 time: 0.2304 data_time: 0.0143 memory: 11037 grad_norm: 10.0049 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.8304 loss: 2.8304 2022/08/08 14:52:49 - mmengine - INFO - Epoch(train) [4][360/1320] lr: 2.0000e-03 eta: 4:08:32 time: 0.2250 data_time: 0.0146 memory: 11037 grad_norm: 10.4223 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.0060 loss: 3.0060 2022/08/08 14:52:53 - mmengine - INFO - Epoch(train) [4][380/1320] lr: 2.0000e-03 eta: 4:08:22 time: 0.2234 data_time: 0.0134 memory: 11037 grad_norm: 10.1181 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.7240 loss: 2.7240 2022/08/08 14:52:58 - mmengine - INFO - Epoch(train) [4][400/1320] lr: 2.0000e-03 eta: 4:08:12 time: 0.2232 data_time: 0.0142 memory: 11037 grad_norm: 10.7913 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.7431 loss: 2.7431 2022/08/08 14:53:02 - mmengine - INFO - Epoch(train) [4][420/1320] lr: 2.0000e-03 eta: 4:08:06 time: 0.2363 data_time: 0.0177 memory: 11037 grad_norm: 10.3657 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.9923 loss: 2.9923 2022/08/08 14:53:07 - mmengine - INFO - Epoch(train) [4][440/1320] lr: 2.0000e-03 eta: 4:07:56 time: 0.2232 data_time: 0.0141 memory: 11037 grad_norm: 10.4280 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.7057 loss: 2.7057 2022/08/08 14:53:11 - mmengine - INFO - Epoch(train) [4][460/1320] lr: 2.0000e-03 eta: 4:07:46 time: 0.2234 data_time: 0.0146 memory: 11037 grad_norm: 10.4114 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.7503 loss: 2.7503 2022/08/08 14:53:16 - mmengine - INFO - Epoch(train) [4][480/1320] lr: 2.0000e-03 eta: 4:07:37 time: 0.2247 data_time: 0.0148 memory: 11037 grad_norm: 10.3068 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.8187 loss: 2.8187 2022/08/08 14:53:20 - mmengine - INFO - Epoch(train) [4][500/1320] lr: 2.0000e-03 eta: 4:07:27 time: 0.2235 data_time: 0.0129 memory: 11037 grad_norm: 10.5194 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7944 loss: 2.7944 2022/08/08 14:53:25 - mmengine - INFO - Epoch(train) [4][520/1320] lr: 2.0000e-03 eta: 4:07:21 time: 0.2363 data_time: 0.0153 memory: 11037 grad_norm: 10.3379 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.8939 loss: 2.8939 2022/08/08 14:53:29 - mmengine - INFO - Epoch(train) [4][540/1320] lr: 2.0000e-03 eta: 4:07:11 time: 0.2229 data_time: 0.0136 memory: 11037 grad_norm: 10.4783 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8587 loss: 2.8587 2022/08/08 14:53:34 - mmengine - INFO - Epoch(train) [4][560/1320] lr: 2.0000e-03 eta: 4:07:01 time: 0.2242 data_time: 0.0136 memory: 11037 grad_norm: 10.4484 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.7495 loss: 2.7495 2022/08/08 14:53:38 - mmengine - INFO - Epoch(train) [4][580/1320] lr: 2.0000e-03 eta: 4:06:52 time: 0.2242 data_time: 0.0141 memory: 11037 grad_norm: 10.4097 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.8362 loss: 2.8362 2022/08/08 14:53:43 - mmengine - INFO - Epoch(train) [4][600/1320] lr: 2.0000e-03 eta: 4:06:45 time: 0.2322 data_time: 0.0155 memory: 11037 grad_norm: 10.4643 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.9400 loss: 2.9400 2022/08/08 14:53:48 - mmengine - INFO - Epoch(train) [4][620/1320] lr: 2.0000e-03 eta: 4:06:35 time: 0.2243 data_time: 0.0138 memory: 11037 grad_norm: 10.4418 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6923 loss: 2.6923 2022/08/08 14:53:52 - mmengine - INFO - Epoch(train) [4][640/1320] lr: 2.0000e-03 eta: 4:06:26 time: 0.2240 data_time: 0.0145 memory: 11037 grad_norm: 10.8256 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.8670 loss: 2.8670 2022/08/08 14:53:57 - mmengine - INFO - Epoch(train) [4][660/1320] lr: 2.0000e-03 eta: 4:06:17 time: 0.2228 data_time: 0.0142 memory: 11037 grad_norm: 10.0732 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8932 loss: 2.8932 2022/08/08 14:54:01 - mmengine - INFO - Epoch(train) [4][680/1320] lr: 2.0000e-03 eta: 4:06:07 time: 0.2232 data_time: 0.0142 memory: 11037 grad_norm: 10.3252 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.9098 loss: 2.9098 2022/08/08 14:54:06 - mmengine - INFO - Epoch(train) [4][700/1320] lr: 2.0000e-03 eta: 4:05:59 time: 0.2282 data_time: 0.0148 memory: 11037 grad_norm: 10.2018 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7562 loss: 2.7562 2022/08/08 14:54:10 - mmengine - INFO - Epoch(train) [4][720/1320] lr: 2.0000e-03 eta: 4:05:50 time: 0.2238 data_time: 0.0154 memory: 11037 grad_norm: 10.3668 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.8295 loss: 2.8295 2022/08/08 14:54:14 - mmengine - INFO - Epoch(train) [4][740/1320] lr: 2.0000e-03 eta: 4:05:40 time: 0.2232 data_time: 0.0126 memory: 11037 grad_norm: 10.4431 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.6410 loss: 2.6410 2022/08/08 14:54:19 - mmengine - INFO - Epoch(train) [4][760/1320] lr: 2.0000e-03 eta: 4:05:31 time: 0.2243 data_time: 0.0142 memory: 11037 grad_norm: 10.3576 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.8271 loss: 2.8271 2022/08/08 14:54:24 - mmengine - INFO - Epoch(train) [4][780/1320] lr: 2.0000e-03 eta: 4:05:24 time: 0.2297 data_time: 0.0158 memory: 11037 grad_norm: 10.1659 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.8281 loss: 2.8281 2022/08/08 14:54:28 - mmengine - INFO - Epoch(train) [4][800/1320] lr: 2.0000e-03 eta: 4:05:15 time: 0.2242 data_time: 0.0143 memory: 11037 grad_norm: 10.4467 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.6548 loss: 2.6548 2022/08/08 14:54:33 - mmengine - INFO - Epoch(train) [4][820/1320] lr: 2.0000e-03 eta: 4:05:06 time: 0.2241 data_time: 0.0133 memory: 11037 grad_norm: 10.0218 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6893 loss: 2.6893 2022/08/08 14:54:37 - mmengine - INFO - Epoch(train) [4][840/1320] lr: 2.0000e-03 eta: 4:04:57 time: 0.2244 data_time: 0.0142 memory: 11037 grad_norm: 10.5475 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7369 loss: 2.7369 2022/08/08 14:54:42 - mmengine - INFO - Epoch(train) [4][860/1320] lr: 2.0000e-03 eta: 4:04:49 time: 0.2284 data_time: 0.0147 memory: 11037 grad_norm: 10.9394 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7910 loss: 2.7910 2022/08/08 14:54:46 - mmengine - INFO - Epoch(train) [4][880/1320] lr: 2.0000e-03 eta: 4:04:41 time: 0.2242 data_time: 0.0138 memory: 11037 grad_norm: 10.3767 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.9251 loss: 2.9251 2022/08/08 14:54:51 - mmengine - INFO - Epoch(train) [4][900/1320] lr: 2.0000e-03 eta: 4:04:32 time: 0.2245 data_time: 0.0141 memory: 11037 grad_norm: 10.4747 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6475 loss: 2.6475 2022/08/08 14:54:55 - mmengine - INFO - Epoch(train) [4][920/1320] lr: 2.0000e-03 eta: 4:04:23 time: 0.2235 data_time: 0.0139 memory: 11037 grad_norm: 10.3736 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9364 loss: 2.9364 2022/08/08 14:55:00 - mmengine - INFO - Epoch(train) [4][940/1320] lr: 2.0000e-03 eta: 4:04:14 time: 0.2239 data_time: 0.0141 memory: 11037 grad_norm: 10.3800 top1_acc: 0.0625 top5_acc: 0.5000 loss_cls: 2.7284 loss: 2.7284 2022/08/08 14:55:04 - mmengine - INFO - Epoch(train) [4][960/1320] lr: 2.0000e-03 eta: 4:04:07 time: 0.2326 data_time: 0.0163 memory: 11037 grad_norm: 10.2922 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.8081 loss: 2.8081 2022/08/08 14:55:09 - mmengine - INFO - Epoch(train) [4][980/1320] lr: 2.0000e-03 eta: 4:04:01 time: 0.2314 data_time: 0.0231 memory: 11037 grad_norm: 10.3685 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7801 loss: 2.7801 2022/08/08 14:55:13 - mmengine - INFO - Epoch(train) [4][1000/1320] lr: 2.0000e-03 eta: 4:03:52 time: 0.2231 data_time: 0.0152 memory: 11037 grad_norm: 10.4231 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 3.0300 loss: 3.0300 2022/08/08 14:55:18 - mmengine - INFO - Epoch(train) [4][1020/1320] lr: 2.0000e-03 eta: 4:03:43 time: 0.2234 data_time: 0.0137 memory: 11037 grad_norm: 10.1079 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.0733 loss: 3.0733 2022/08/08 14:55:22 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 14:55:22 - mmengine - INFO - Epoch(train) [4][1040/1320] lr: 2.0000e-03 eta: 4:03:35 time: 0.2256 data_time: 0.0147 memory: 11037 grad_norm: 10.0731 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8039 loss: 2.8039 2022/08/08 14:55:27 - mmengine - INFO - Epoch(train) [4][1060/1320] lr: 2.0000e-03 eta: 4:03:26 time: 0.2242 data_time: 0.0148 memory: 11037 grad_norm: 10.3476 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6811 loss: 2.6811 2022/08/08 14:55:31 - mmengine - INFO - Epoch(train) [4][1080/1320] lr: 2.0000e-03 eta: 4:03:18 time: 0.2243 data_time: 0.0152 memory: 11037 grad_norm: 10.3859 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8362 loss: 2.8362 2022/08/08 14:55:36 - mmengine - INFO - Epoch(train) [4][1100/1320] lr: 2.0000e-03 eta: 4:03:09 time: 0.2243 data_time: 0.0136 memory: 11037 grad_norm: 10.0329 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.8535 loss: 2.8535 2022/08/08 14:55:40 - mmengine - INFO - Epoch(train) [4][1120/1320] lr: 2.0000e-03 eta: 4:03:01 time: 0.2246 data_time: 0.0135 memory: 11037 grad_norm: 10.4330 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.6915 loss: 2.6915 2022/08/08 14:55:45 - mmengine - INFO - Epoch(train) [4][1140/1320] lr: 2.0000e-03 eta: 4:02:55 time: 0.2354 data_time: 0.0155 memory: 11037 grad_norm: 10.4217 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.8182 loss: 2.8182 2022/08/08 14:55:49 - mmengine - INFO - Epoch(train) [4][1160/1320] lr: 2.0000e-03 eta: 4:02:47 time: 0.2233 data_time: 0.0134 memory: 11037 grad_norm: 10.2940 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7326 loss: 2.7326 2022/08/08 14:55:54 - mmengine - INFO - Epoch(train) [4][1180/1320] lr: 2.0000e-03 eta: 4:02:38 time: 0.2236 data_time: 0.0131 memory: 11037 grad_norm: 10.5590 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8983 loss: 2.8983 2022/08/08 14:55:58 - mmengine - INFO - Epoch(train) [4][1200/1320] lr: 2.0000e-03 eta: 4:02:30 time: 0.2241 data_time: 0.0148 memory: 11037 grad_norm: 10.9405 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8649 loss: 2.8649 2022/08/08 14:56:03 - mmengine - INFO - Epoch(train) [4][1220/1320] lr: 2.0000e-03 eta: 4:02:22 time: 0.2287 data_time: 0.0157 memory: 11037 grad_norm: 10.4779 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.0085 loss: 3.0085 2022/08/08 14:56:07 - mmengine - INFO - Epoch(train) [4][1240/1320] lr: 2.0000e-03 eta: 4:02:14 time: 0.2243 data_time: 0.0146 memory: 11037 grad_norm: 10.4902 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8225 loss: 2.8225 2022/08/08 14:56:12 - mmengine - INFO - Epoch(train) [4][1260/1320] lr: 2.0000e-03 eta: 4:02:06 time: 0.2230 data_time: 0.0140 memory: 11037 grad_norm: 10.4706 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.9417 loss: 2.9417 2022/08/08 14:56:16 - mmengine - INFO - Epoch(train) [4][1280/1320] lr: 2.0000e-03 eta: 4:01:57 time: 0.2226 data_time: 0.0131 memory: 11037 grad_norm: 10.6241 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8174 loss: 2.8174 2022/08/08 14:56:21 - mmengine - INFO - Epoch(train) [4][1300/1320] lr: 2.0000e-03 eta: 4:01:49 time: 0.2231 data_time: 0.0137 memory: 11037 grad_norm: 10.4906 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8117 loss: 2.8117 2022/08/08 14:56:25 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 14:56:25 - mmengine - INFO - Epoch(train) [4][1320/1320] lr: 2.0000e-03 eta: 4:01:39 time: 0.2181 data_time: 0.0139 memory: 11037 grad_norm: 9.8930 top1_acc: 0.3636 top5_acc: 0.7273 loss_cls: 2.7802 loss: 2.7802 2022/08/08 14:56:25 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/08/08 14:56:31 - mmengine - INFO - Epoch(val) [4][20/194] eta: 0:00:28 time: 0.1639 data_time: 0.0865 memory: 1858 2022/08/08 14:56:33 - mmengine - INFO - Epoch(val) [4][40/194] eta: 0:00:16 time: 0.1057 data_time: 0.0280 memory: 1858 2022/08/08 14:56:35 - mmengine - INFO - Epoch(val) [4][60/194] eta: 0:00:16 time: 0.1206 data_time: 0.0447 memory: 1858 2022/08/08 14:56:37 - mmengine - INFO - Epoch(val) [4][80/194] eta: 0:00:11 time: 0.1003 data_time: 0.0258 memory: 1858 2022/08/08 14:56:40 - mmengine - INFO - Epoch(val) [4][100/194] eta: 0:00:11 time: 0.1243 data_time: 0.0474 memory: 1858 2022/08/08 14:56:42 - mmengine - INFO - Epoch(val) [4][120/194] eta: 0:00:08 time: 0.1117 data_time: 0.0339 memory: 1858 2022/08/08 14:56:45 - mmengine - INFO - Epoch(val) [4][140/194] eta: 0:00:06 time: 0.1188 data_time: 0.0442 memory: 1858 2022/08/08 14:56:47 - mmengine - INFO - Epoch(val) [4][160/194] eta: 0:00:03 time: 0.1029 data_time: 0.0318 memory: 1858 2022/08/08 14:56:48 - mmengine - INFO - Epoch(val) [4][180/194] eta: 0:00:01 time: 0.0746 data_time: 0.0180 memory: 1858 2022/08/08 14:56:50 - mmengine - INFO - Epoch(val) [4][194/194] acc/top1: 0.3367 acc/top5: 0.6217 acc/mean1: 0.2591 2022/08/08 14:56:50 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_4.pth is removed 2022/08/08 14:56:52 - mmengine - INFO - The best checkpoint with 0.3367 acc/top1 at 5 epoch is saved to best_acc/top1_epoch_5.pth. 2022/08/08 14:56:52 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 14:56:57 - mmengine - INFO - Epoch(train) [5][20/1320] lr: 2.0000e-03 eta: 4:01:37 time: 0.2506 data_time: 0.0415 memory: 11037 grad_norm: 10.0065 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.7577 loss: 2.7577 2022/08/08 14:57:02 - mmengine - INFO - Epoch(train) [5][40/1320] lr: 2.0000e-03 eta: 4:01:30 time: 0.2270 data_time: 0.0143 memory: 11037 grad_norm: 10.2410 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.6766 loss: 2.6766 2022/08/08 14:57:06 - mmengine - INFO - Epoch(train) [5][60/1320] lr: 2.0000e-03 eta: 4:01:22 time: 0.2252 data_time: 0.0172 memory: 11037 grad_norm: 10.1697 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.7566 loss: 2.7566 2022/08/08 14:57:11 - mmengine - INFO - Epoch(train) [5][80/1320] lr: 2.0000e-03 eta: 4:01:13 time: 0.2227 data_time: 0.0125 memory: 11037 grad_norm: 10.5311 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.7475 loss: 2.7475 2022/08/08 14:57:15 - mmengine - INFO - Epoch(train) [5][100/1320] lr: 2.0000e-03 eta: 4:01:05 time: 0.2241 data_time: 0.0138 memory: 11037 grad_norm: 10.6325 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6032 loss: 2.6032 2022/08/08 14:57:20 - mmengine - INFO - Epoch(train) [5][120/1320] lr: 2.0000e-03 eta: 4:00:57 time: 0.2240 data_time: 0.0139 memory: 11037 grad_norm: 10.4349 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7894 loss: 2.7894 2022/08/08 14:57:24 - mmengine - INFO - Epoch(train) [5][140/1320] lr: 2.0000e-03 eta: 4:00:50 time: 0.2287 data_time: 0.0143 memory: 11037 grad_norm: 10.1533 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6499 loss: 2.6499 2022/08/08 14:57:29 - mmengine - INFO - Epoch(train) [5][160/1320] lr: 2.0000e-03 eta: 4:00:42 time: 0.2227 data_time: 0.0135 memory: 11037 grad_norm: 10.8283 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.6343 loss: 2.6343 2022/08/08 14:57:33 - mmengine - INFO - Epoch(train) [5][180/1320] lr: 2.0000e-03 eta: 4:00:34 time: 0.2246 data_time: 0.0145 memory: 11037 grad_norm: 10.7873 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6602 loss: 2.6602 2022/08/08 14:57:38 - mmengine - INFO - Epoch(train) [5][200/1320] lr: 2.0000e-03 eta: 4:00:26 time: 0.2228 data_time: 0.0132 memory: 11037 grad_norm: 10.2562 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.6853 loss: 2.6853 2022/08/08 14:57:43 - mmengine - INFO - Epoch(train) [5][220/1320] lr: 2.0000e-03 eta: 4:00:21 time: 0.2376 data_time: 0.0149 memory: 11037 grad_norm: 10.4347 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.7303 loss: 2.7303 2022/08/08 14:57:47 - mmengine - INFO - Epoch(train) [5][240/1320] lr: 2.0000e-03 eta: 4:00:13 time: 0.2241 data_time: 0.0141 memory: 11037 grad_norm: 10.3584 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 2.6099 loss: 2.6099 2022/08/08 14:57:52 - mmengine - INFO - Epoch(train) [5][260/1320] lr: 2.0000e-03 eta: 4:00:05 time: 0.2232 data_time: 0.0137 memory: 11037 grad_norm: 10.2685 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.6695 loss: 2.6695 2022/08/08 14:57:56 - mmengine - INFO - Epoch(train) [5][280/1320] lr: 2.0000e-03 eta: 3:59:57 time: 0.2238 data_time: 0.0135 memory: 11037 grad_norm: 10.2934 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.6673 loss: 2.6673 2022/08/08 14:58:01 - mmengine - INFO - Epoch(train) [5][300/1320] lr: 2.0000e-03 eta: 3:59:49 time: 0.2234 data_time: 0.0139 memory: 11037 grad_norm: 10.3871 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.7826 loss: 2.7826 2022/08/08 14:58:05 - mmengine - INFO - Epoch(train) [5][320/1320] lr: 2.0000e-03 eta: 3:59:42 time: 0.2269 data_time: 0.0161 memory: 11037 grad_norm: 10.6076 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.6912 loss: 2.6912 2022/08/08 14:58:10 - mmengine - INFO - Epoch(train) [5][340/1320] lr: 2.0000e-03 eta: 3:59:34 time: 0.2229 data_time: 0.0132 memory: 11037 grad_norm: 10.5201 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5990 loss: 2.5990 2022/08/08 14:58:14 - mmengine - INFO - Epoch(train) [5][360/1320] lr: 2.0000e-03 eta: 3:59:26 time: 0.2230 data_time: 0.0143 memory: 11037 grad_norm: 10.0036 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6481 loss: 2.6481 2022/08/08 14:58:18 - mmengine - INFO - Epoch(train) [5][380/1320] lr: 2.0000e-03 eta: 3:59:18 time: 0.2222 data_time: 0.0134 memory: 11037 grad_norm: 9.9005 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.7484 loss: 2.7484 2022/08/08 14:58:23 - mmengine - INFO - Epoch(train) [5][400/1320] lr: 2.0000e-03 eta: 3:59:13 time: 0.2361 data_time: 0.0146 memory: 11037 grad_norm: 10.7383 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6360 loss: 2.6360 2022/08/08 14:58:28 - mmengine - INFO - Epoch(train) [5][420/1320] lr: 2.0000e-03 eta: 3:59:05 time: 0.2236 data_time: 0.0141 memory: 11037 grad_norm: 10.2327 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7764 loss: 2.7764 2022/08/08 14:58:32 - mmengine - INFO - Epoch(train) [5][440/1320] lr: 2.0000e-03 eta: 3:58:57 time: 0.2242 data_time: 0.0151 memory: 11037 grad_norm: 10.4466 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.6490 loss: 2.6490 2022/08/08 14:58:37 - mmengine - INFO - Epoch(train) [5][460/1320] lr: 2.0000e-03 eta: 3:58:50 time: 0.2246 data_time: 0.0132 memory: 11037 grad_norm: 10.5296 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4634 loss: 2.4634 2022/08/08 14:58:41 - mmengine - INFO - Epoch(train) [5][480/1320] lr: 2.0000e-03 eta: 3:58:42 time: 0.2238 data_time: 0.0139 memory: 11037 grad_norm: 10.3133 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.7395 loss: 2.7395 2022/08/08 14:58:46 - mmengine - INFO - Epoch(train) [5][500/1320] lr: 2.0000e-03 eta: 3:58:37 time: 0.2346 data_time: 0.0144 memory: 11037 grad_norm: 10.0904 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.7426 loss: 2.7426 2022/08/08 14:58:50 - mmengine - INFO - Epoch(train) [5][520/1320] lr: 2.0000e-03 eta: 3:58:29 time: 0.2228 data_time: 0.0135 memory: 11037 grad_norm: 10.5258 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.7722 loss: 2.7722 2022/08/08 14:58:55 - mmengine - INFO - Epoch(train) [5][540/1320] lr: 2.0000e-03 eta: 3:58:21 time: 0.2239 data_time: 0.0133 memory: 11037 grad_norm: 10.3435 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.9485 loss: 2.9485 2022/08/08 14:58:59 - mmengine - INFO - Epoch(train) [5][560/1320] lr: 2.0000e-03 eta: 3:58:13 time: 0.2236 data_time: 0.0134 memory: 11037 grad_norm: 10.3231 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5894 loss: 2.5894 2022/08/08 14:59:04 - mmengine - INFO - Epoch(train) [5][580/1320] lr: 2.0000e-03 eta: 3:58:08 time: 0.2331 data_time: 0.0149 memory: 11037 grad_norm: 10.4873 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.6887 loss: 2.6887 2022/08/08 14:59:08 - mmengine - INFO - Epoch(train) [5][600/1320] lr: 2.0000e-03 eta: 3:58:00 time: 0.2240 data_time: 0.0144 memory: 11037 grad_norm: 10.5634 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.7913 loss: 2.7913 2022/08/08 14:59:13 - mmengine - INFO - Epoch(train) [5][620/1320] lr: 2.0000e-03 eta: 3:57:53 time: 0.2242 data_time: 0.0134 memory: 11037 grad_norm: 9.8599 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.8358 loss: 2.8358 2022/08/08 14:59:17 - mmengine - INFO - Epoch(train) [5][640/1320] lr: 2.0000e-03 eta: 3:57:45 time: 0.2233 data_time: 0.0160 memory: 11037 grad_norm: 10.3609 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6705 loss: 2.6705 2022/08/08 14:59:22 - mmengine - INFO - Epoch(train) [5][660/1320] lr: 2.0000e-03 eta: 3:57:39 time: 0.2283 data_time: 0.0142 memory: 11037 grad_norm: 10.3393 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5632 loss: 2.5632 2022/08/08 14:59:26 - mmengine - INFO - Epoch(train) [5][680/1320] lr: 2.0000e-03 eta: 3:57:31 time: 0.2237 data_time: 0.0134 memory: 11037 grad_norm: 10.7206 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5607 loss: 2.5607 2022/08/08 14:59:31 - mmengine - INFO - Epoch(train) [5][700/1320] lr: 2.0000e-03 eta: 3:57:24 time: 0.2237 data_time: 0.0136 memory: 11037 grad_norm: 10.2755 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.5424 loss: 2.5424 2022/08/08 14:59:35 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 14:59:35 - mmengine - INFO - Epoch(train) [5][720/1320] lr: 2.0000e-03 eta: 3:57:16 time: 0.2250 data_time: 0.0150 memory: 11037 grad_norm: 10.5878 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.6775 loss: 2.6775 2022/08/08 14:59:40 - mmengine - INFO - Epoch(train) [5][740/1320] lr: 2.0000e-03 eta: 3:57:08 time: 0.2218 data_time: 0.0127 memory: 11037 grad_norm: 10.4366 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.7716 loss: 2.7716 2022/08/08 14:59:44 - mmengine - INFO - Epoch(train) [5][760/1320] lr: 2.0000e-03 eta: 3:57:02 time: 0.2276 data_time: 0.0142 memory: 11037 grad_norm: 9.8948 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6373 loss: 2.6373 2022/08/08 14:59:49 - mmengine - INFO - Epoch(train) [5][780/1320] lr: 2.0000e-03 eta: 3:56:54 time: 0.2239 data_time: 0.0145 memory: 11037 grad_norm: 10.1691 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5926 loss: 2.5926 2022/08/08 14:59:53 - mmengine - INFO - Epoch(train) [5][800/1320] lr: 2.0000e-03 eta: 3:56:48 time: 0.2280 data_time: 0.0145 memory: 11037 grad_norm: 10.3671 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.7647 loss: 2.7647 2022/08/08 14:59:58 - mmengine - INFO - Epoch(train) [5][820/1320] lr: 2.0000e-03 eta: 3:56:40 time: 0.2224 data_time: 0.0136 memory: 11037 grad_norm: 10.2432 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7493 loss: 2.7493 2022/08/08 15:00:02 - mmengine - INFO - Epoch(train) [5][840/1320] lr: 2.0000e-03 eta: 3:56:34 time: 0.2290 data_time: 0.0146 memory: 11037 grad_norm: 10.4653 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5096 loss: 2.5096 2022/08/08 15:00:07 - mmengine - INFO - Epoch(train) [5][860/1320] lr: 2.0000e-03 eta: 3:56:27 time: 0.2237 data_time: 0.0143 memory: 11037 grad_norm: 10.4819 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5661 loss: 2.5661 2022/08/08 15:00:11 - mmengine - INFO - Epoch(train) [5][880/1320] lr: 2.0000e-03 eta: 3:56:19 time: 0.2235 data_time: 0.0140 memory: 11037 grad_norm: 10.5303 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4966 loss: 2.4966 2022/08/08 15:00:16 - mmengine - INFO - Epoch(train) [5][900/1320] lr: 2.0000e-03 eta: 3:56:12 time: 0.2231 data_time: 0.0138 memory: 11037 grad_norm: 10.1859 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6709 loss: 2.6709 2022/08/08 15:00:20 - mmengine - INFO - Epoch(train) [5][920/1320] lr: 2.0000e-03 eta: 3:56:05 time: 0.2250 data_time: 0.0137 memory: 11037 grad_norm: 10.7612 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5636 loss: 2.5636 2022/08/08 15:00:25 - mmengine - INFO - Epoch(train) [5][940/1320] lr: 2.0000e-03 eta: 3:55:58 time: 0.2254 data_time: 0.0140 memory: 11037 grad_norm: 10.2027 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 2.6240 loss: 2.6240 2022/08/08 15:00:29 - mmengine - INFO - Epoch(train) [5][960/1320] lr: 2.0000e-03 eta: 3:55:51 time: 0.2236 data_time: 0.0146 memory: 11037 grad_norm: 10.3013 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6343 loss: 2.6343 2022/08/08 15:00:34 - mmengine - INFO - Epoch(train) [5][980/1320] lr: 2.0000e-03 eta: 3:55:43 time: 0.2225 data_time: 0.0128 memory: 11037 grad_norm: 10.1621 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.7393 loss: 2.7393 2022/08/08 15:00:38 - mmengine - INFO - Epoch(train) [5][1000/1320] lr: 2.0000e-03 eta: 3:55:36 time: 0.2230 data_time: 0.0132 memory: 11037 grad_norm: 10.5256 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.5916 loss: 2.5916 2022/08/08 15:00:43 - mmengine - INFO - Epoch(train) [5][1020/1320] lr: 2.0000e-03 eta: 3:55:29 time: 0.2268 data_time: 0.0152 memory: 11037 grad_norm: 10.4039 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5801 loss: 2.5801 2022/08/08 15:00:47 - mmengine - INFO - Epoch(train) [5][1040/1320] lr: 2.0000e-03 eta: 3:55:22 time: 0.2247 data_time: 0.0132 memory: 11037 grad_norm: 10.4261 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5363 loss: 2.5363 2022/08/08 15:00:52 - mmengine - INFO - Epoch(train) [5][1060/1320] lr: 2.0000e-03 eta: 3:55:15 time: 0.2241 data_time: 0.0137 memory: 11037 grad_norm: 10.2277 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6548 loss: 2.6548 2022/08/08 15:00:56 - mmengine - INFO - Epoch(train) [5][1080/1320] lr: 2.0000e-03 eta: 3:55:09 time: 0.2283 data_time: 0.0142 memory: 11037 grad_norm: 10.2162 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5952 loss: 2.5952 2022/08/08 15:01:01 - mmengine - INFO - Epoch(train) [5][1100/1320] lr: 2.0000e-03 eta: 3:55:02 time: 0.2240 data_time: 0.0131 memory: 11037 grad_norm: 10.6005 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7253 loss: 2.7253 2022/08/08 15:01:05 - mmengine - INFO - Epoch(train) [5][1120/1320] lr: 2.0000e-03 eta: 3:54:55 time: 0.2250 data_time: 0.0133 memory: 11037 grad_norm: 10.1484 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.8052 loss: 2.8052 2022/08/08 15:01:10 - mmengine - INFO - Epoch(train) [5][1140/1320] lr: 2.0000e-03 eta: 3:54:48 time: 0.2244 data_time: 0.0171 memory: 11037 grad_norm: 10.0702 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.7344 loss: 2.7344 2022/08/08 15:01:14 - mmengine - INFO - Epoch(train) [5][1160/1320] lr: 2.0000e-03 eta: 3:54:41 time: 0.2264 data_time: 0.0137 memory: 11037 grad_norm: 10.4175 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6316 loss: 2.6316 2022/08/08 15:01:19 - mmengine - INFO - Epoch(train) [5][1180/1320] lr: 2.0000e-03 eta: 3:54:34 time: 0.2238 data_time: 0.0137 memory: 11037 grad_norm: 10.1463 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5621 loss: 2.5621 2022/08/08 15:01:23 - mmengine - INFO - Epoch(train) [5][1200/1320] lr: 2.0000e-03 eta: 3:54:28 time: 0.2281 data_time: 0.0160 memory: 11037 grad_norm: 10.3947 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5589 loss: 2.5589 2022/08/08 15:01:28 - mmengine - INFO - Epoch(train) [5][1220/1320] lr: 2.0000e-03 eta: 3:54:21 time: 0.2231 data_time: 0.0142 memory: 11037 grad_norm: 10.1201 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.7953 loss: 2.7953 2022/08/08 15:01:32 - mmengine - INFO - Epoch(train) [5][1240/1320] lr: 2.0000e-03 eta: 3:54:14 time: 0.2270 data_time: 0.0139 memory: 11037 grad_norm: 10.1393 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6978 loss: 2.6978 2022/08/08 15:01:37 - mmengine - INFO - Epoch(train) [5][1260/1320] lr: 2.0000e-03 eta: 3:54:07 time: 0.2236 data_time: 0.0141 memory: 11037 grad_norm: 10.0851 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5617 loss: 2.5617 2022/08/08 15:01:41 - mmengine - INFO - Epoch(train) [5][1280/1320] lr: 2.0000e-03 eta: 3:54:01 time: 0.2258 data_time: 0.0135 memory: 11037 grad_norm: 10.2389 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.6254 loss: 2.6254 2022/08/08 15:01:46 - mmengine - INFO - Epoch(train) [5][1300/1320] lr: 2.0000e-03 eta: 3:53:54 time: 0.2261 data_time: 0.0145 memory: 11037 grad_norm: 10.6131 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7315 loss: 2.7315 2022/08/08 15:01:50 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:01:50 - mmengine - INFO - Epoch(train) [5][1320/1320] lr: 2.0000e-03 eta: 3:53:45 time: 0.2137 data_time: 0.0136 memory: 11037 grad_norm: 10.2594 top1_acc: 0.4545 top5_acc: 0.6364 loss_cls: 2.6267 loss: 2.6267 2022/08/08 15:01:50 - mmengine - INFO - Saving checkpoint at 5 epochs 2022/08/08 15:01:56 - mmengine - INFO - Epoch(val) [5][20/194] eta: 0:00:28 time: 0.1635 data_time: 0.0853 memory: 1858 2022/08/08 15:01:58 - mmengine - INFO - Epoch(val) [5][40/194] eta: 0:00:16 time: 0.1048 data_time: 0.0280 memory: 1858 2022/08/08 15:02:00 - mmengine - INFO - Epoch(val) [5][60/194] eta: 0:00:15 time: 0.1134 data_time: 0.0386 memory: 1858 2022/08/08 15:02:03 - mmengine - INFO - Epoch(val) [5][80/194] eta: 0:00:12 time: 0.1126 data_time: 0.0374 memory: 1858 2022/08/08 15:02:05 - mmengine - INFO - Epoch(val) [5][100/194] eta: 0:00:11 time: 0.1270 data_time: 0.0524 memory: 1858 2022/08/08 15:02:07 - mmengine - INFO - Epoch(val) [5][120/194] eta: 0:00:08 time: 0.1084 data_time: 0.0297 memory: 1858 2022/08/08 15:02:10 - mmengine - INFO - Epoch(val) [5][140/194] eta: 0:00:06 time: 0.1223 data_time: 0.0466 memory: 1858 2022/08/08 15:02:12 - mmengine - INFO - Epoch(val) [5][160/194] eta: 0:00:03 time: 0.0934 data_time: 0.0187 memory: 1858 2022/08/08 15:02:13 - mmengine - INFO - Epoch(val) [5][180/194] eta: 0:00:00 time: 0.0708 data_time: 0.0141 memory: 1858 2022/08/08 15:02:15 - mmengine - INFO - Epoch(val) [5][194/194] acc/top1: 0.3474 acc/top5: 0.6327 acc/mean1: 0.2739 2022/08/08 15:02:15 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_5.pth is removed 2022/08/08 15:02:16 - mmengine - INFO - The best checkpoint with 0.3474 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2022/08/08 15:02:16 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:02:21 - mmengine - INFO - Epoch(train) [6][20/1320] lr: 2.0000e-03 eta: 3:53:43 time: 0.2493 data_time: 0.0390 memory: 11037 grad_norm: 10.1301 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.7393 loss: 2.7393 2022/08/08 15:02:26 - mmengine - INFO - Epoch(train) [6][40/1320] lr: 2.0000e-03 eta: 3:53:36 time: 0.2248 data_time: 0.0170 memory: 11037 grad_norm: 10.8316 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6438 loss: 2.6438 2022/08/08 15:02:30 - mmengine - INFO - Epoch(train) [6][60/1320] lr: 2.0000e-03 eta: 3:53:29 time: 0.2239 data_time: 0.0142 memory: 11037 grad_norm: 10.2168 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6385 loss: 2.6385 2022/08/08 15:02:35 - mmengine - INFO - Epoch(train) [6][80/1320] lr: 2.0000e-03 eta: 3:53:23 time: 0.2265 data_time: 0.0138 memory: 11037 grad_norm: 9.8904 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4809 loss: 2.4809 2022/08/08 15:02:39 - mmengine - INFO - Epoch(train) [6][100/1320] lr: 2.0000e-03 eta: 3:53:16 time: 0.2225 data_time: 0.0153 memory: 11037 grad_norm: 10.6635 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.4923 loss: 2.4923 2022/08/08 15:02:44 - mmengine - INFO - Epoch(train) [6][120/1320] lr: 2.0000e-03 eta: 3:53:09 time: 0.2258 data_time: 0.0143 memory: 11037 grad_norm: 10.7605 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.6483 loss: 2.6483 2022/08/08 15:02:48 - mmengine - INFO - Epoch(train) [6][140/1320] lr: 2.0000e-03 eta: 3:53:02 time: 0.2228 data_time: 0.0138 memory: 11037 grad_norm: 10.2569 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5859 loss: 2.5859 2022/08/08 15:02:53 - mmengine - INFO - Epoch(train) [6][160/1320] lr: 2.0000e-03 eta: 3:52:56 time: 0.2270 data_time: 0.0143 memory: 11037 grad_norm: 10.4538 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6977 loss: 2.6977 2022/08/08 15:02:57 - mmengine - INFO - Epoch(train) [6][180/1320] lr: 2.0000e-03 eta: 3:52:49 time: 0.2248 data_time: 0.0150 memory: 11037 grad_norm: 10.4006 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.6346 loss: 2.6346 2022/08/08 15:03:02 - mmengine - INFO - Epoch(train) [6][200/1320] lr: 2.0000e-03 eta: 3:52:42 time: 0.2232 data_time: 0.0142 memory: 11037 grad_norm: 10.3793 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4863 loss: 2.4863 2022/08/08 15:03:06 - mmengine - INFO - Epoch(train) [6][220/1320] lr: 2.0000e-03 eta: 3:52:35 time: 0.2236 data_time: 0.0138 memory: 11037 grad_norm: 10.5265 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6371 loss: 2.6371 2022/08/08 15:03:11 - mmengine - INFO - Epoch(train) [6][240/1320] lr: 2.0000e-03 eta: 3:52:29 time: 0.2238 data_time: 0.0145 memory: 11037 grad_norm: 10.4808 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.3583 loss: 2.3583 2022/08/08 15:03:15 - mmengine - INFO - Epoch(train) [6][260/1320] lr: 2.0000e-03 eta: 3:52:22 time: 0.2270 data_time: 0.0136 memory: 11037 grad_norm: 10.2255 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4986 loss: 2.4986 2022/08/08 15:03:20 - mmengine - INFO - Epoch(train) [6][280/1320] lr: 2.0000e-03 eta: 3:52:16 time: 0.2235 data_time: 0.0137 memory: 11037 grad_norm: 10.3263 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5637 loss: 2.5637 2022/08/08 15:03:24 - mmengine - INFO - Epoch(train) [6][300/1320] lr: 2.0000e-03 eta: 3:52:09 time: 0.2244 data_time: 0.0149 memory: 11037 grad_norm: 10.4199 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.7044 loss: 2.7044 2022/08/08 15:03:29 - mmengine - INFO - Epoch(train) [6][320/1320] lr: 2.0000e-03 eta: 3:52:02 time: 0.2226 data_time: 0.0131 memory: 11037 grad_norm: 10.6612 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5911 loss: 2.5911 2022/08/08 15:03:33 - mmengine - INFO - Epoch(train) [6][340/1320] lr: 2.0000e-03 eta: 3:51:56 time: 0.2271 data_time: 0.0168 memory: 11037 grad_norm: 10.1527 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7809 loss: 2.7809 2022/08/08 15:03:38 - mmengine - INFO - Epoch(train) [6][360/1320] lr: 2.0000e-03 eta: 3:51:49 time: 0.2240 data_time: 0.0146 memory: 11037 grad_norm: 10.2914 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.4968 loss: 2.4968 2022/08/08 15:03:42 - mmengine - INFO - Epoch(train) [6][380/1320] lr: 2.0000e-03 eta: 3:51:42 time: 0.2229 data_time: 0.0115 memory: 11037 grad_norm: 10.1459 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5886 loss: 2.5886 2022/08/08 15:03:47 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:03:47 - mmengine - INFO - Epoch(train) [6][400/1320] lr: 2.0000e-03 eta: 3:51:35 time: 0.2219 data_time: 0.0128 memory: 11037 grad_norm: 10.6997 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5584 loss: 2.5584 2022/08/08 15:03:51 - mmengine - INFO - Epoch(train) [6][420/1320] lr: 2.0000e-03 eta: 3:51:29 time: 0.2239 data_time: 0.0143 memory: 11037 grad_norm: 10.9638 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4755 loss: 2.4755 2022/08/08 15:03:56 - mmengine - INFO - Epoch(train) [6][440/1320] lr: 2.0000e-03 eta: 3:51:22 time: 0.2255 data_time: 0.0141 memory: 11037 grad_norm: 10.1546 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5097 loss: 2.5097 2022/08/08 15:04:00 - mmengine - INFO - Epoch(train) [6][460/1320] lr: 2.0000e-03 eta: 3:51:16 time: 0.2239 data_time: 0.0132 memory: 11037 grad_norm: 9.9826 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6099 loss: 2.6099 2022/08/08 15:04:05 - mmengine - INFO - Epoch(train) [6][480/1320] lr: 2.0000e-03 eta: 3:51:09 time: 0.2250 data_time: 0.0145 memory: 11037 grad_norm: 10.5943 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6390 loss: 2.6390 2022/08/08 15:04:09 - mmengine - INFO - Epoch(train) [6][500/1320] lr: 2.0000e-03 eta: 3:51:02 time: 0.2231 data_time: 0.0133 memory: 11037 grad_norm: 10.4541 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4260 loss: 2.4260 2022/08/08 15:04:14 - mmengine - INFO - Epoch(train) [6][520/1320] lr: 2.0000e-03 eta: 3:50:57 time: 0.2294 data_time: 0.0192 memory: 11037 grad_norm: 10.4350 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5890 loss: 2.5890 2022/08/08 15:04:18 - mmengine - INFO - Epoch(train) [6][540/1320] lr: 2.0000e-03 eta: 3:50:50 time: 0.2247 data_time: 0.0149 memory: 11037 grad_norm: 10.4474 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6817 loss: 2.6817 2022/08/08 15:04:23 - mmengine - INFO - Epoch(train) [6][560/1320] lr: 2.0000e-03 eta: 3:50:43 time: 0.2227 data_time: 0.0131 memory: 11037 grad_norm: 10.8680 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5896 loss: 2.5896 2022/08/08 15:04:27 - mmengine - INFO - Epoch(train) [6][580/1320] lr: 2.0000e-03 eta: 3:50:37 time: 0.2245 data_time: 0.0138 memory: 11037 grad_norm: 10.4956 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.6650 loss: 2.6650 2022/08/08 15:04:32 - mmengine - INFO - Epoch(train) [6][600/1320] lr: 2.0000e-03 eta: 3:50:30 time: 0.2236 data_time: 0.0144 memory: 11037 grad_norm: 10.4444 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6190 loss: 2.6190 2022/08/08 15:04:36 - mmengine - INFO - Epoch(train) [6][620/1320] lr: 2.0000e-03 eta: 3:50:24 time: 0.2267 data_time: 0.0136 memory: 11037 grad_norm: 10.2919 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.6086 loss: 2.6086 2022/08/08 15:04:41 - mmengine - INFO - Epoch(train) [6][640/1320] lr: 2.0000e-03 eta: 3:50:18 time: 0.2232 data_time: 0.0141 memory: 11037 grad_norm: 10.4681 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4325 loss: 2.4325 2022/08/08 15:04:45 - mmengine - INFO - Epoch(train) [6][660/1320] lr: 2.0000e-03 eta: 3:50:12 time: 0.2266 data_time: 0.0147 memory: 11037 grad_norm: 10.1679 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7809 loss: 2.7809 2022/08/08 15:04:50 - mmengine - INFO - Epoch(train) [6][680/1320] lr: 2.0000e-03 eta: 3:50:05 time: 0.2215 data_time: 0.0145 memory: 11037 grad_norm: 10.4323 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3565 loss: 2.3565 2022/08/08 15:04:54 - mmengine - INFO - Epoch(train) [6][700/1320] lr: 2.0000e-03 eta: 3:49:59 time: 0.2267 data_time: 0.0137 memory: 11037 grad_norm: 10.2783 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4718 loss: 2.4718 2022/08/08 15:04:59 - mmengine - INFO - Epoch(train) [6][720/1320] lr: 2.0000e-03 eta: 3:49:52 time: 0.2243 data_time: 0.0142 memory: 11037 grad_norm: 10.7127 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5386 loss: 2.5386 2022/08/08 15:05:03 - mmengine - INFO - Epoch(train) [6][740/1320] lr: 2.0000e-03 eta: 3:49:46 time: 0.2237 data_time: 0.0131 memory: 11037 grad_norm: 10.2805 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5952 loss: 2.5952 2022/08/08 15:05:08 - mmengine - INFO - Epoch(train) [6][760/1320] lr: 2.0000e-03 eta: 3:49:39 time: 0.2245 data_time: 0.0136 memory: 11037 grad_norm: 10.1946 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4721 loss: 2.4721 2022/08/08 15:05:12 - mmengine - INFO - Epoch(train) [6][780/1320] lr: 2.0000e-03 eta: 3:49:33 time: 0.2235 data_time: 0.0142 memory: 11037 grad_norm: 10.3289 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4641 loss: 2.4641 2022/08/08 15:05:17 - mmengine - INFO - Epoch(train) [6][800/1320] lr: 2.0000e-03 eta: 3:49:27 time: 0.2258 data_time: 0.0142 memory: 11037 grad_norm: 10.2785 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.6473 loss: 2.6473 2022/08/08 15:05:21 - mmengine - INFO - Epoch(train) [6][820/1320] lr: 2.0000e-03 eta: 3:49:20 time: 0.2244 data_time: 0.0139 memory: 11037 grad_norm: 10.3264 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6237 loss: 2.6237 2022/08/08 15:05:26 - mmengine - INFO - Epoch(train) [6][840/1320] lr: 2.0000e-03 eta: 3:49:14 time: 0.2238 data_time: 0.0156 memory: 11037 grad_norm: 10.2594 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2676 loss: 2.2676 2022/08/08 15:05:30 - mmengine - INFO - Epoch(train) [6][860/1320] lr: 2.0000e-03 eta: 3:49:07 time: 0.2232 data_time: 0.0123 memory: 11037 grad_norm: 10.1295 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.4696 loss: 2.4696 2022/08/08 15:05:35 - mmengine - INFO - Epoch(train) [6][880/1320] lr: 2.0000e-03 eta: 3:49:01 time: 0.2275 data_time: 0.0174 memory: 11037 grad_norm: 10.2744 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.6490 loss: 2.6490 2022/08/08 15:05:39 - mmengine - INFO - Epoch(train) [6][900/1320] lr: 2.0000e-03 eta: 3:48:55 time: 0.2246 data_time: 0.0149 memory: 11037 grad_norm: 10.5717 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2691 loss: 2.2691 2022/08/08 15:05:44 - mmengine - INFO - Epoch(train) [6][920/1320] lr: 2.0000e-03 eta: 3:48:49 time: 0.2254 data_time: 0.0135 memory: 11037 grad_norm: 10.1881 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6562 loss: 2.6562 2022/08/08 15:05:48 - mmengine - INFO - Epoch(train) [6][940/1320] lr: 2.0000e-03 eta: 3:48:43 time: 0.2235 data_time: 0.0155 memory: 11037 grad_norm: 10.0563 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3779 loss: 2.3779 2022/08/08 15:05:53 - mmengine - INFO - Epoch(train) [6][960/1320] lr: 2.0000e-03 eta: 3:48:37 time: 0.2305 data_time: 0.0151 memory: 11037 grad_norm: 10.2651 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.6962 loss: 2.6962 2022/08/08 15:05:57 - mmengine - INFO - Epoch(train) [6][980/1320] lr: 2.0000e-03 eta: 3:48:31 time: 0.2232 data_time: 0.0126 memory: 11037 grad_norm: 10.4344 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5764 loss: 2.5764 2022/08/08 15:06:02 - mmengine - INFO - Epoch(train) [6][1000/1320] lr: 2.0000e-03 eta: 3:48:24 time: 0.2239 data_time: 0.0139 memory: 11037 grad_norm: 9.9900 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.4853 loss: 2.4853 2022/08/08 15:06:06 - mmengine - INFO - Epoch(train) [6][1020/1320] lr: 2.0000e-03 eta: 3:48:18 time: 0.2242 data_time: 0.0142 memory: 11037 grad_norm: 10.0849 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.7236 loss: 2.7236 2022/08/08 15:06:10 - mmengine - INFO - Epoch(train) [6][1040/1320] lr: 2.0000e-03 eta: 3:48:12 time: 0.2230 data_time: 0.0133 memory: 11037 grad_norm: 10.7183 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3261 loss: 2.3261 2022/08/08 15:06:15 - mmengine - INFO - Epoch(train) [6][1060/1320] lr: 2.0000e-03 eta: 3:48:06 time: 0.2284 data_time: 0.0138 memory: 11037 grad_norm: 10.3003 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6631 loss: 2.6631 2022/08/08 15:06:20 - mmengine - INFO - Epoch(train) [6][1080/1320] lr: 2.0000e-03 eta: 3:48:00 time: 0.2238 data_time: 0.0140 memory: 11037 grad_norm: 10.0741 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7643 loss: 2.7643 2022/08/08 15:06:24 - mmengine - INFO - Epoch(train) [6][1100/1320] lr: 2.0000e-03 eta: 3:47:54 time: 0.2252 data_time: 0.0150 memory: 11037 grad_norm: 9.8643 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5542 loss: 2.5542 2022/08/08 15:06:28 - mmengine - INFO - Epoch(train) [6][1120/1320] lr: 2.0000e-03 eta: 3:47:47 time: 0.2219 data_time: 0.0143 memory: 11037 grad_norm: 10.0993 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3679 loss: 2.3679 2022/08/08 15:06:33 - mmengine - INFO - Epoch(train) [6][1140/1320] lr: 2.0000e-03 eta: 3:47:41 time: 0.2260 data_time: 0.0181 memory: 11037 grad_norm: 10.0831 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.5532 loss: 2.5532 2022/08/08 15:06:37 - mmengine - INFO - Epoch(train) [6][1160/1320] lr: 2.0000e-03 eta: 3:47:35 time: 0.2244 data_time: 0.0142 memory: 11037 grad_norm: 10.3003 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7446 loss: 2.7446 2022/08/08 15:06:42 - mmengine - INFO - Epoch(train) [6][1180/1320] lr: 2.0000e-03 eta: 3:47:28 time: 0.2236 data_time: 0.0137 memory: 11037 grad_norm: 10.1310 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5057 loss: 2.5057 2022/08/08 15:06:46 - mmengine - INFO - Epoch(train) [6][1200/1320] lr: 2.0000e-03 eta: 3:47:22 time: 0.2260 data_time: 0.0142 memory: 11037 grad_norm: 10.8389 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5593 loss: 2.5593 2022/08/08 15:06:51 - mmengine - INFO - Epoch(train) [6][1220/1320] lr: 2.0000e-03 eta: 3:47:16 time: 0.2242 data_time: 0.0131 memory: 11037 grad_norm: 10.0205 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3572 loss: 2.3572 2022/08/08 15:06:55 - mmengine - INFO - Epoch(train) [6][1240/1320] lr: 2.0000e-03 eta: 3:47:10 time: 0.2253 data_time: 0.0141 memory: 11037 grad_norm: 10.5558 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3719 loss: 2.3719 2022/08/08 15:07:00 - mmengine - INFO - Epoch(train) [6][1260/1320] lr: 2.0000e-03 eta: 3:47:04 time: 0.2234 data_time: 0.0145 memory: 11037 grad_norm: 10.0286 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6395 loss: 2.6395 2022/08/08 15:07:04 - mmengine - INFO - Epoch(train) [6][1280/1320] lr: 2.0000e-03 eta: 3:46:58 time: 0.2234 data_time: 0.0135 memory: 11037 grad_norm: 10.1946 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5373 loss: 2.5373 2022/08/08 15:07:09 - mmengine - INFO - Epoch(train) [6][1300/1320] lr: 2.0000e-03 eta: 3:46:51 time: 0.2229 data_time: 0.0153 memory: 11037 grad_norm: 10.4025 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.4699 loss: 2.4699 2022/08/08 15:07:13 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:07:13 - mmengine - INFO - Epoch(train) [6][1320/1320] lr: 2.0000e-03 eta: 3:46:45 time: 0.2238 data_time: 0.0143 memory: 11037 grad_norm: 10.3998 top1_acc: 0.5455 top5_acc: 0.8182 loss_cls: 2.4662 loss: 2.4662 2022/08/08 15:07:13 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/08/08 15:08:26 - mmengine - INFO - Epoch(val) [6][20/194] eta: 0:00:23 time: 0.1327 data_time: 0.0703 memory: 1858 2022/08/08 15:08:27 - mmengine - INFO - Epoch(val) [6][40/194] eta: 0:00:10 time: 0.0670 data_time: 0.0119 memory: 1858 2022/08/08 15:08:28 - mmengine - INFO - Epoch(val) [6][60/194] eta: 0:00:08 time: 0.0660 data_time: 0.0113 memory: 1858 2022/08/08 15:08:30 - mmengine - INFO - Epoch(val) [6][80/194] eta: 0:00:07 time: 0.0639 data_time: 0.0090 memory: 1858 2022/08/08 15:08:31 - mmengine - INFO - Epoch(val) [6][100/194] eta: 0:00:06 time: 0.0665 data_time: 0.0114 memory: 1858 2022/08/08 15:08:32 - mmengine - INFO - Epoch(val) [6][120/194] eta: 0:00:04 time: 0.0652 data_time: 0.0098 memory: 1858 2022/08/08 15:08:34 - mmengine - INFO - Epoch(val) [6][140/194] eta: 0:00:03 time: 0.0651 data_time: 0.0104 memory: 1858 2022/08/08 15:08:35 - mmengine - INFO - Epoch(val) [6][160/194] eta: 0:00:02 time: 0.0621 data_time: 0.0078 memory: 1858 2022/08/08 15:08:36 - mmengine - INFO - Epoch(val) [6][180/194] eta: 0:00:00 time: 0.0653 data_time: 0.0099 memory: 1858 2022/08/08 15:08:44 - mmengine - INFO - Epoch(val) [6][194/194] acc/top1: 0.3567 acc/top5: 0.6418 acc/mean1: 0.2812 2022/08/08 15:08:44 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_6.pth is removed 2022/08/08 15:09:16 - mmengine - INFO - The best checkpoint with 0.3567 acc/top1 at 7 epoch is saved to best_acc/top1_epoch_7.pth. 2022/08/08 15:09:16 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:09:21 - mmengine - INFO - Epoch(train) [7][20/1320] lr: 2.0000e-03 eta: 3:46:49 time: 0.2944 data_time: 0.0726 memory: 11037 grad_norm: 10.0752 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4669 loss: 2.4669 2022/08/08 15:09:26 - mmengine - INFO - Epoch(train) [7][40/1320] lr: 2.0000e-03 eta: 3:46:43 time: 0.2232 data_time: 0.0141 memory: 11037 grad_norm: 9.9503 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3427 loss: 2.3427 2022/08/08 15:09:30 - mmengine - INFO - Epoch(train) [7][60/1320] lr: 2.0000e-03 eta: 3:46:36 time: 0.2228 data_time: 0.0149 memory: 11037 grad_norm: 10.0898 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6288 loss: 2.6288 2022/08/08 15:09:35 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:09:35 - mmengine - INFO - Epoch(train) [7][80/1320] lr: 2.0000e-03 eta: 3:46:31 time: 0.2291 data_time: 0.0145 memory: 11037 grad_norm: 10.0593 top1_acc: 0.1875 top5_acc: 0.8750 loss_cls: 2.4371 loss: 2.4371 2022/08/08 15:09:39 - mmengine - INFO - Epoch(train) [7][100/1320] lr: 2.0000e-03 eta: 3:46:25 time: 0.2242 data_time: 0.0137 memory: 11037 grad_norm: 10.2865 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4121 loss: 2.4121 2022/08/08 15:09:44 - mmengine - INFO - Epoch(train) [7][120/1320] lr: 2.0000e-03 eta: 3:46:19 time: 0.2231 data_time: 0.0134 memory: 11037 grad_norm: 10.3875 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3974 loss: 2.3974 2022/08/08 15:09:48 - mmengine - INFO - Epoch(train) [7][140/1320] lr: 2.0000e-03 eta: 3:46:12 time: 0.2228 data_time: 0.0144 memory: 11037 grad_norm: 10.3249 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3382 loss: 2.3382 2022/08/08 15:09:53 - mmengine - INFO - Epoch(train) [7][160/1320] lr: 2.0000e-03 eta: 3:46:07 time: 0.2292 data_time: 0.0140 memory: 11037 grad_norm: 10.3456 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.6882 loss: 2.6882 2022/08/08 15:09:57 - mmengine - INFO - Epoch(train) [7][180/1320] lr: 2.0000e-03 eta: 3:46:01 time: 0.2244 data_time: 0.0149 memory: 11037 grad_norm: 10.4733 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4412 loss: 2.4412 2022/08/08 15:10:02 - mmengine - INFO - Epoch(train) [7][200/1320] lr: 2.0000e-03 eta: 3:45:54 time: 0.2225 data_time: 0.0131 memory: 11037 grad_norm: 9.7344 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4624 loss: 2.4624 2022/08/08 15:10:06 - mmengine - INFO - Epoch(train) [7][220/1320] lr: 2.0000e-03 eta: 3:45:48 time: 0.2237 data_time: 0.0131 memory: 11037 grad_norm: 10.3163 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5364 loss: 2.5364 2022/08/08 15:10:11 - mmengine - INFO - Epoch(train) [7][240/1320] lr: 2.0000e-03 eta: 3:45:42 time: 0.2217 data_time: 0.0129 memory: 11037 grad_norm: 10.4619 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4210 loss: 2.4210 2022/08/08 15:10:15 - mmengine - INFO - Epoch(train) [7][260/1320] lr: 2.0000e-03 eta: 3:45:36 time: 0.2258 data_time: 0.0139 memory: 11037 grad_norm: 10.2917 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.5551 loss: 2.5551 2022/08/08 15:10:20 - mmengine - INFO - Epoch(train) [7][280/1320] lr: 2.0000e-03 eta: 3:45:30 time: 0.2236 data_time: 0.0137 memory: 11037 grad_norm: 10.2029 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.3588 loss: 2.3588 2022/08/08 15:10:24 - mmengine - INFO - Epoch(train) [7][300/1320] lr: 2.0000e-03 eta: 3:45:23 time: 0.2230 data_time: 0.0135 memory: 11037 grad_norm: 10.6857 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4907 loss: 2.4907 2022/08/08 15:10:29 - mmengine - INFO - Epoch(train) [7][320/1320] lr: 2.0000e-03 eta: 3:45:17 time: 0.2227 data_time: 0.0121 memory: 11037 grad_norm: 10.3535 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5789 loss: 2.5789 2022/08/08 15:10:33 - mmengine - INFO - Epoch(train) [7][340/1320] lr: 2.0000e-03 eta: 3:45:12 time: 0.2275 data_time: 0.0136 memory: 11037 grad_norm: 10.5611 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5021 loss: 2.5021 2022/08/08 15:10:38 - mmengine - INFO - Epoch(train) [7][360/1320] lr: 2.0000e-03 eta: 3:45:05 time: 0.2236 data_time: 0.0138 memory: 11037 grad_norm: 10.1316 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3213 loss: 2.3213 2022/08/08 15:10:42 - mmengine - INFO - Epoch(train) [7][380/1320] lr: 2.0000e-03 eta: 3:44:59 time: 0.2222 data_time: 0.0127 memory: 11037 grad_norm: 10.1948 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3114 loss: 2.3114 2022/08/08 15:10:47 - mmengine - INFO - Epoch(train) [7][400/1320] lr: 2.0000e-03 eta: 3:44:53 time: 0.2234 data_time: 0.0134 memory: 11037 grad_norm: 10.3797 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6346 loss: 2.6346 2022/08/08 15:10:51 - mmengine - INFO - Epoch(train) [7][420/1320] lr: 2.0000e-03 eta: 3:44:47 time: 0.2231 data_time: 0.0128 memory: 11037 grad_norm: 10.4385 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.4409 loss: 2.4409 2022/08/08 15:10:56 - mmengine - INFO - Epoch(train) [7][440/1320] lr: 2.0000e-03 eta: 3:44:41 time: 0.2278 data_time: 0.0133 memory: 11037 grad_norm: 10.4204 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4084 loss: 2.4084 2022/08/08 15:11:00 - mmengine - INFO - Epoch(train) [7][460/1320] lr: 2.0000e-03 eta: 3:44:36 time: 0.2276 data_time: 0.0130 memory: 11037 grad_norm: 10.5191 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5016 loss: 2.5016 2022/08/08 15:11:05 - mmengine - INFO - Epoch(train) [7][480/1320] lr: 2.0000e-03 eta: 3:44:30 time: 0.2247 data_time: 0.0135 memory: 11037 grad_norm: 10.6981 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4592 loss: 2.4592 2022/08/08 15:11:09 - mmengine - INFO - Epoch(train) [7][500/1320] lr: 2.0000e-03 eta: 3:44:24 time: 0.2224 data_time: 0.0146 memory: 11037 grad_norm: 10.6502 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3962 loss: 2.3962 2022/08/08 15:11:14 - mmengine - INFO - Epoch(train) [7][520/1320] lr: 2.0000e-03 eta: 3:44:18 time: 0.2301 data_time: 0.0141 memory: 11037 grad_norm: 10.3603 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4045 loss: 2.4045 2022/08/08 15:11:18 - mmengine - INFO - Epoch(train) [7][540/1320] lr: 2.0000e-03 eta: 3:44:12 time: 0.2244 data_time: 0.0147 memory: 11037 grad_norm: 10.2659 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5999 loss: 2.5999 2022/08/08 15:11:23 - mmengine - INFO - Epoch(train) [7][560/1320] lr: 2.0000e-03 eta: 3:44:06 time: 0.2222 data_time: 0.0120 memory: 11037 grad_norm: 9.8829 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.4955 loss: 2.4955 2022/08/08 15:11:27 - mmengine - INFO - Epoch(train) [7][580/1320] lr: 2.0000e-03 eta: 3:44:00 time: 0.2236 data_time: 0.0141 memory: 11037 grad_norm: 10.4955 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5351 loss: 2.5351 2022/08/08 15:11:32 - mmengine - INFO - Epoch(train) [7][600/1320] lr: 2.0000e-03 eta: 3:43:54 time: 0.2236 data_time: 0.0131 memory: 11037 grad_norm: 10.2150 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.5300 loss: 2.5300 2022/08/08 15:11:36 - mmengine - INFO - Epoch(train) [7][620/1320] lr: 2.0000e-03 eta: 3:43:49 time: 0.2269 data_time: 0.0145 memory: 11037 grad_norm: 10.0547 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5388 loss: 2.5388 2022/08/08 15:11:41 - mmengine - INFO - Epoch(train) [7][640/1320] lr: 2.0000e-03 eta: 3:43:42 time: 0.2236 data_time: 0.0143 memory: 11037 grad_norm: 10.5921 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4982 loss: 2.4982 2022/08/08 15:11:45 - mmengine - INFO - Epoch(train) [7][660/1320] lr: 2.0000e-03 eta: 3:43:37 time: 0.2276 data_time: 0.0165 memory: 11037 grad_norm: 10.7073 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.6996 loss: 2.6996 2022/08/08 15:11:50 - mmengine - INFO - Epoch(train) [7][680/1320] lr: 2.0000e-03 eta: 3:43:31 time: 0.2233 data_time: 0.0131 memory: 11037 grad_norm: 10.6283 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3269 loss: 2.3269 2022/08/08 15:11:54 - mmengine - INFO - Epoch(train) [7][700/1320] lr: 2.0000e-03 eta: 3:43:25 time: 0.2236 data_time: 0.0138 memory: 11037 grad_norm: 10.3420 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.5791 loss: 2.5791 2022/08/08 15:11:59 - mmengine - INFO - Epoch(train) [7][720/1320] lr: 2.0000e-03 eta: 3:43:19 time: 0.2255 data_time: 0.0161 memory: 11037 grad_norm: 10.2530 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3846 loss: 2.3846 2022/08/08 15:12:03 - mmengine - INFO - Epoch(train) [7][740/1320] lr: 2.0000e-03 eta: 3:43:14 time: 0.2262 data_time: 0.0142 memory: 11037 grad_norm: 10.3304 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.5837 loss: 2.5837 2022/08/08 15:12:08 - mmengine - INFO - Epoch(train) [7][760/1320] lr: 2.0000e-03 eta: 3:43:08 time: 0.2249 data_time: 0.0141 memory: 11037 grad_norm: 10.0063 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.5940 loss: 2.5940 2022/08/08 15:12:12 - mmengine - INFO - Epoch(train) [7][780/1320] lr: 2.0000e-03 eta: 3:43:02 time: 0.2237 data_time: 0.0136 memory: 11037 grad_norm: 9.9920 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4393 loss: 2.4393 2022/08/08 15:12:17 - mmengine - INFO - Epoch(train) [7][800/1320] lr: 2.0000e-03 eta: 3:42:56 time: 0.2249 data_time: 0.0140 memory: 11037 grad_norm: 10.4595 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.4231 loss: 2.4231 2022/08/08 15:12:21 - mmengine - INFO - Epoch(train) [7][820/1320] lr: 2.0000e-03 eta: 3:42:50 time: 0.2246 data_time: 0.0138 memory: 11037 grad_norm: 10.0409 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5733 loss: 2.5733 2022/08/08 15:12:26 - mmengine - INFO - Epoch(train) [7][840/1320] lr: 2.0000e-03 eta: 3:42:45 time: 0.2271 data_time: 0.0145 memory: 11037 grad_norm: 10.2649 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2816 loss: 2.2816 2022/08/08 15:12:30 - mmengine - INFO - Epoch(train) [7][860/1320] lr: 2.0000e-03 eta: 3:42:38 time: 0.2224 data_time: 0.0132 memory: 11037 grad_norm: 10.1958 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.6360 loss: 2.6360 2022/08/08 15:12:35 - mmengine - INFO - Epoch(train) [7][880/1320] lr: 2.0000e-03 eta: 3:42:33 time: 0.2248 data_time: 0.0141 memory: 11037 grad_norm: 10.3921 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4720 loss: 2.4720 2022/08/08 15:12:39 - mmengine - INFO - Epoch(train) [7][900/1320] lr: 2.0000e-03 eta: 3:42:27 time: 0.2239 data_time: 0.0131 memory: 11037 grad_norm: 10.0850 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.3976 loss: 2.3976 2022/08/08 15:12:44 - mmengine - INFO - Epoch(train) [7][920/1320] lr: 2.0000e-03 eta: 3:42:21 time: 0.2251 data_time: 0.0129 memory: 11037 grad_norm: 10.3174 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4654 loss: 2.4654 2022/08/08 15:12:48 - mmengine - INFO - Epoch(train) [7][940/1320] lr: 2.0000e-03 eta: 3:42:15 time: 0.2246 data_time: 0.0140 memory: 11037 grad_norm: 10.4986 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6800 loss: 2.6800 2022/08/08 15:12:53 - mmengine - INFO - Epoch(train) [7][960/1320] lr: 2.0000e-03 eta: 3:42:09 time: 0.2239 data_time: 0.0156 memory: 11037 grad_norm: 10.1525 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.4294 loss: 2.4294 2022/08/08 15:12:57 - mmengine - INFO - Epoch(train) [7][980/1320] lr: 2.0000e-03 eta: 3:42:03 time: 0.2241 data_time: 0.0134 memory: 11037 grad_norm: 10.1018 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3064 loss: 2.3064 2022/08/08 15:13:02 - mmengine - INFO - Epoch(train) [7][1000/1320] lr: 2.0000e-03 eta: 3:41:59 time: 0.2317 data_time: 0.0216 memory: 11037 grad_norm: 10.6611 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.5944 loss: 2.5944 2022/08/08 15:13:06 - mmengine - INFO - Epoch(train) [7][1020/1320] lr: 2.0000e-03 eta: 3:41:53 time: 0.2233 data_time: 0.0126 memory: 11037 grad_norm: 9.9276 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.5405 loss: 2.5405 2022/08/08 15:13:11 - mmengine - INFO - Epoch(train) [7][1040/1320] lr: 2.0000e-03 eta: 3:41:47 time: 0.2227 data_time: 0.0150 memory: 11037 grad_norm: 10.1879 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4088 loss: 2.4088 2022/08/08 15:13:15 - mmengine - INFO - Epoch(train) [7][1060/1320] lr: 2.0000e-03 eta: 3:41:41 time: 0.2260 data_time: 0.0147 memory: 11037 grad_norm: 10.4569 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5303 loss: 2.5303 2022/08/08 15:13:20 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:13:20 - mmengine - INFO - Epoch(train) [7][1080/1320] lr: 2.0000e-03 eta: 3:41:35 time: 0.2230 data_time: 0.0130 memory: 11037 grad_norm: 10.1701 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5335 loss: 2.5335 2022/08/08 15:13:24 - mmengine - INFO - Epoch(train) [7][1100/1320] lr: 2.0000e-03 eta: 3:41:29 time: 0.2239 data_time: 0.0126 memory: 11037 grad_norm: 10.1504 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3966 loss: 2.3966 2022/08/08 15:13:29 - mmengine - INFO - Epoch(train) [7][1120/1320] lr: 2.0000e-03 eta: 3:41:23 time: 0.2232 data_time: 0.0137 memory: 11037 grad_norm: 10.7348 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3946 loss: 2.3946 2022/08/08 15:13:33 - mmengine - INFO - Epoch(train) [7][1140/1320] lr: 2.0000e-03 eta: 3:41:17 time: 0.2227 data_time: 0.0136 memory: 11037 grad_norm: 10.2580 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3846 loss: 2.3846 2022/08/08 15:13:37 - mmengine - INFO - Epoch(train) [7][1160/1320] lr: 2.0000e-03 eta: 3:41:12 time: 0.2243 data_time: 0.0155 memory: 11037 grad_norm: 10.3140 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5016 loss: 2.5016 2022/08/08 15:13:42 - mmengine - INFO - Epoch(train) [7][1180/1320] lr: 2.0000e-03 eta: 3:41:05 time: 0.2219 data_time: 0.0123 memory: 11037 grad_norm: 10.3583 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.5892 loss: 2.5892 2022/08/08 15:13:46 - mmengine - INFO - Epoch(train) [7][1200/1320] lr: 2.0000e-03 eta: 3:41:00 time: 0.2250 data_time: 0.0145 memory: 11037 grad_norm: 9.9982 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.4530 loss: 2.4530 2022/08/08 15:13:51 - mmengine - INFO - Epoch(train) [7][1220/1320] lr: 2.0000e-03 eta: 3:40:54 time: 0.2262 data_time: 0.0148 memory: 11037 grad_norm: 10.0166 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3333 loss: 2.3333 2022/08/08 15:13:56 - mmengine - INFO - Epoch(train) [7][1240/1320] lr: 2.0000e-03 eta: 3:40:50 time: 0.2333 data_time: 0.0144 memory: 11037 grad_norm: 10.0597 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4958 loss: 2.4958 2022/08/08 15:14:00 - mmengine - INFO - Epoch(train) [7][1260/1320] lr: 2.0000e-03 eta: 3:40:44 time: 0.2227 data_time: 0.0136 memory: 11037 grad_norm: 10.3290 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4033 loss: 2.4033 2022/08/08 15:14:05 - mmengine - INFO - Epoch(train) [7][1280/1320] lr: 2.0000e-03 eta: 3:40:38 time: 0.2241 data_time: 0.0131 memory: 11037 grad_norm: 10.1122 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3567 loss: 2.3567 2022/08/08 15:14:09 - mmengine - INFO - Epoch(train) [7][1300/1320] lr: 2.0000e-03 eta: 3:40:33 time: 0.2283 data_time: 0.0181 memory: 11037 grad_norm: 10.3121 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3021 loss: 2.3021 2022/08/08 15:14:13 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:14:13 - mmengine - INFO - Epoch(train) [7][1320/1320] lr: 2.0000e-03 eta: 3:40:26 time: 0.2147 data_time: 0.0135 memory: 11037 grad_norm: 10.2537 top1_acc: 0.3636 top5_acc: 0.6364 loss_cls: 2.3276 loss: 2.3276 2022/08/08 15:14:13 - mmengine - INFO - Saving checkpoint at 7 epochs 2022/08/08 15:15:08 - mmengine - INFO - Epoch(val) [7][20/194] eta: 0:00:23 time: 0.1364 data_time: 0.0722 memory: 1858 2022/08/08 15:15:10 - mmengine - INFO - Epoch(val) [7][40/194] eta: 0:00:09 time: 0.0638 data_time: 0.0090 memory: 1858 2022/08/08 15:15:11 - mmengine - INFO - Epoch(val) [7][60/194] eta: 0:00:08 time: 0.0651 data_time: 0.0101 memory: 1858 2022/08/08 15:15:13 - mmengine - INFO - Epoch(val) [7][80/194] eta: 0:00:09 time: 0.0799 data_time: 0.0249 memory: 1858 2022/08/08 15:15:14 - mmengine - INFO - Epoch(val) [7][100/194] eta: 0:00:06 time: 0.0641 data_time: 0.0094 memory: 1858 2022/08/08 15:15:15 - mmengine - INFO - Epoch(val) [7][120/194] eta: 0:00:04 time: 0.0638 data_time: 0.0089 memory: 1858 2022/08/08 15:15:17 - mmengine - INFO - Epoch(val) [7][140/194] eta: 0:00:04 time: 0.0744 data_time: 0.0200 memory: 1858 2022/08/08 15:15:19 - mmengine - INFO - Epoch(val) [7][160/194] eta: 0:00:04 time: 0.1288 data_time: 0.0741 memory: 1858 2022/08/08 15:15:21 - mmengine - INFO - Epoch(val) [7][180/194] eta: 0:00:00 time: 0.0666 data_time: 0.0113 memory: 1858 2022/08/08 15:15:26 - mmengine - INFO - Epoch(val) [7][194/194] acc/top1: 0.3755 acc/top5: 0.6576 acc/mean1: 0.2964 2022/08/08 15:15:26 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_7.pth is removed 2022/08/08 15:15:47 - mmengine - INFO - The best checkpoint with 0.3755 acc/top1 at 8 epoch is saved to best_acc/top1_epoch_8.pth. 2022/08/08 15:15:47 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:15:53 - mmengine - INFO - Epoch(train) [8][20/1320] lr: 2.0000e-03 eta: 3:40:29 time: 0.2984 data_time: 0.0718 memory: 11037 grad_norm: 10.6447 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4599 loss: 2.4599 2022/08/08 15:15:57 - mmengine - INFO - Epoch(train) [8][40/1320] lr: 2.0000e-03 eta: 3:40:23 time: 0.2243 data_time: 0.0147 memory: 11037 grad_norm: 10.4299 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2920 loss: 2.2920 2022/08/08 15:16:02 - mmengine - INFO - Epoch(train) [8][60/1320] lr: 2.0000e-03 eta: 3:40:20 time: 0.2417 data_time: 0.0326 memory: 11037 grad_norm: 10.4860 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2854 loss: 2.2854 2022/08/08 15:16:06 - mmengine - INFO - Epoch(train) [8][80/1320] lr: 2.0000e-03 eta: 3:40:15 time: 0.2295 data_time: 0.0159 memory: 11037 grad_norm: 10.3023 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4599 loss: 2.4599 2022/08/08 15:16:11 - mmengine - INFO - Epoch(train) [8][100/1320] lr: 2.0000e-03 eta: 3:40:09 time: 0.2240 data_time: 0.0145 memory: 11037 grad_norm: 10.1737 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2006 loss: 2.2006 2022/08/08 15:16:15 - mmengine - INFO - Epoch(train) [8][120/1320] lr: 2.0000e-03 eta: 3:40:03 time: 0.2231 data_time: 0.0134 memory: 11037 grad_norm: 10.5974 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3773 loss: 2.3773 2022/08/08 15:16:20 - mmengine - INFO - Epoch(train) [8][140/1320] lr: 2.0000e-03 eta: 3:39:57 time: 0.2233 data_time: 0.0138 memory: 11037 grad_norm: 10.1828 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4327 loss: 2.4327 2022/08/08 15:16:24 - mmengine - INFO - Epoch(train) [8][160/1320] lr: 2.0000e-03 eta: 3:39:52 time: 0.2290 data_time: 0.0146 memory: 11037 grad_norm: 10.6772 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3507 loss: 2.3507 2022/08/08 15:16:29 - mmengine - INFO - Epoch(train) [8][180/1320] lr: 2.0000e-03 eta: 3:39:46 time: 0.2220 data_time: 0.0131 memory: 11037 grad_norm: 10.5275 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4961 loss: 2.4961 2022/08/08 15:16:33 - mmengine - INFO - Epoch(train) [8][200/1320] lr: 2.0000e-03 eta: 3:39:40 time: 0.2234 data_time: 0.0130 memory: 11037 grad_norm: 10.3816 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4197 loss: 2.4197 2022/08/08 15:16:38 - mmengine - INFO - Epoch(train) [8][220/1320] lr: 2.0000e-03 eta: 3:39:35 time: 0.2289 data_time: 0.0141 memory: 11037 grad_norm: 10.1587 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4850 loss: 2.4850 2022/08/08 15:16:42 - mmengine - INFO - Epoch(train) [8][240/1320] lr: 2.0000e-03 eta: 3:39:29 time: 0.2231 data_time: 0.0131 memory: 11037 grad_norm: 10.1833 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3371 loss: 2.3371 2022/08/08 15:16:47 - mmengine - INFO - Epoch(train) [8][260/1320] lr: 2.0000e-03 eta: 3:39:24 time: 0.2277 data_time: 0.0131 memory: 11037 grad_norm: 10.5835 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5003 loss: 2.5003 2022/08/08 15:16:51 - mmengine - INFO - Epoch(train) [8][280/1320] lr: 2.0000e-03 eta: 3:39:18 time: 0.2235 data_time: 0.0128 memory: 11037 grad_norm: 10.3534 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3170 loss: 2.3170 2022/08/08 15:16:56 - mmengine - INFO - Epoch(train) [8][300/1320] lr: 2.0000e-03 eta: 3:39:12 time: 0.2244 data_time: 0.0138 memory: 11037 grad_norm: 10.3290 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4155 loss: 2.4155 2022/08/08 15:17:00 - mmengine - INFO - Epoch(train) [8][320/1320] lr: 2.0000e-03 eta: 3:39:07 time: 0.2232 data_time: 0.0133 memory: 11037 grad_norm: 10.0986 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2902 loss: 2.2902 2022/08/08 15:17:05 - mmengine - INFO - Epoch(train) [8][340/1320] lr: 2.0000e-03 eta: 3:39:01 time: 0.2243 data_time: 0.0137 memory: 11037 grad_norm: 10.2001 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.3842 loss: 2.3842 2022/08/08 15:17:09 - mmengine - INFO - Epoch(train) [8][360/1320] lr: 2.0000e-03 eta: 3:38:55 time: 0.2237 data_time: 0.0137 memory: 11037 grad_norm: 10.3223 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4087 loss: 2.4087 2022/08/08 15:17:14 - mmengine - INFO - Epoch(train) [8][380/1320] lr: 2.0000e-03 eta: 3:38:50 time: 0.2248 data_time: 0.0138 memory: 11037 grad_norm: 10.4066 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2494 loss: 2.2494 2022/08/08 15:17:18 - mmengine - INFO - Epoch(train) [8][400/1320] lr: 2.0000e-03 eta: 3:38:45 time: 0.2312 data_time: 0.0136 memory: 11037 grad_norm: 10.6664 top1_acc: 0.4375 top5_acc: 1.0000 loss_cls: 2.3750 loss: 2.3750 2022/08/08 15:17:23 - mmengine - INFO - Epoch(train) [8][420/1320] lr: 2.0000e-03 eta: 3:38:39 time: 0.2237 data_time: 0.0142 memory: 11037 grad_norm: 10.3884 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1932 loss: 2.1932 2022/08/08 15:17:27 - mmengine - INFO - Epoch(train) [8][440/1320] lr: 2.0000e-03 eta: 3:38:33 time: 0.2231 data_time: 0.0133 memory: 11037 grad_norm: 10.4424 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4012 loss: 2.4012 2022/08/08 15:17:32 - mmengine - INFO - Epoch(train) [8][460/1320] lr: 2.0000e-03 eta: 3:38:27 time: 0.2227 data_time: 0.0138 memory: 11037 grad_norm: 10.4092 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6107 loss: 2.6107 2022/08/08 15:17:37 - mmengine - INFO - Epoch(train) [8][480/1320] lr: 2.0000e-03 eta: 3:38:23 time: 0.2318 data_time: 0.0150 memory: 11037 grad_norm: 10.1234 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5644 loss: 2.5644 2022/08/08 15:17:41 - mmengine - INFO - Epoch(train) [8][500/1320] lr: 2.0000e-03 eta: 3:38:17 time: 0.2237 data_time: 0.0127 memory: 11037 grad_norm: 10.3967 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6052 loss: 2.6052 2022/08/08 15:17:45 - mmengine - INFO - Epoch(train) [8][520/1320] lr: 2.0000e-03 eta: 3:38:11 time: 0.2241 data_time: 0.0137 memory: 11037 grad_norm: 10.2539 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.4525 loss: 2.4525 2022/08/08 15:17:50 - mmengine - INFO - Epoch(train) [8][540/1320] lr: 2.0000e-03 eta: 3:38:05 time: 0.2232 data_time: 0.0136 memory: 11037 grad_norm: 10.2428 top1_acc: 0.1875 top5_acc: 0.8125 loss_cls: 2.4288 loss: 2.4288 2022/08/08 15:17:54 - mmengine - INFO - Epoch(train) [8][560/1320] lr: 2.0000e-03 eta: 3:38:00 time: 0.2255 data_time: 0.0150 memory: 11037 grad_norm: 10.1237 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1408 loss: 2.1408 2022/08/08 15:17:59 - mmengine - INFO - Epoch(train) [8][580/1320] lr: 2.0000e-03 eta: 3:37:54 time: 0.2237 data_time: 0.0132 memory: 11037 grad_norm: 10.5805 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3648 loss: 2.3648 2022/08/08 15:18:03 - mmengine - INFO - Epoch(train) [8][600/1320] lr: 2.0000e-03 eta: 3:37:49 time: 0.2242 data_time: 0.0149 memory: 11037 grad_norm: 10.3366 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4415 loss: 2.4415 2022/08/08 15:18:08 - mmengine - INFO - Epoch(train) [8][620/1320] lr: 2.0000e-03 eta: 3:37:43 time: 0.2234 data_time: 0.0146 memory: 11037 grad_norm: 10.4647 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2400 loss: 2.2400 2022/08/08 15:18:12 - mmengine - INFO - Epoch(train) [8][640/1320] lr: 2.0000e-03 eta: 3:37:37 time: 0.2244 data_time: 0.0138 memory: 11037 grad_norm: 10.6106 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.6721 loss: 2.6721 2022/08/08 15:18:17 - mmengine - INFO - Epoch(train) [8][660/1320] lr: 2.0000e-03 eta: 3:37:32 time: 0.2261 data_time: 0.0142 memory: 11037 grad_norm: 10.2604 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3817 loss: 2.3817 2022/08/08 15:18:21 - mmengine - INFO - Epoch(train) [8][680/1320] lr: 2.0000e-03 eta: 3:37:26 time: 0.2235 data_time: 0.0131 memory: 11037 grad_norm: 10.2740 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.5192 loss: 2.5192 2022/08/08 15:18:26 - mmengine - INFO - Epoch(train) [8][700/1320] lr: 2.0000e-03 eta: 3:37:21 time: 0.2236 data_time: 0.0135 memory: 11037 grad_norm: 10.2514 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2816 loss: 2.2816 2022/08/08 15:18:30 - mmengine - INFO - Epoch(train) [8][720/1320] lr: 2.0000e-03 eta: 3:37:15 time: 0.2233 data_time: 0.0135 memory: 11037 grad_norm: 10.1860 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4638 loss: 2.4638 2022/08/08 15:18:35 - mmengine - INFO - Epoch(train) [8][740/1320] lr: 2.0000e-03 eta: 3:37:10 time: 0.2348 data_time: 0.0140 memory: 11037 grad_norm: 10.2533 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1496 loss: 2.1496 2022/08/08 15:18:39 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:18:39 - mmengine - INFO - Epoch(train) [8][760/1320] lr: 2.0000e-03 eta: 3:37:05 time: 0.2232 data_time: 0.0133 memory: 11037 grad_norm: 10.2918 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3978 loss: 2.3978 2022/08/08 15:18:44 - mmengine - INFO - Epoch(train) [8][780/1320] lr: 2.0000e-03 eta: 3:36:59 time: 0.2236 data_time: 0.0141 memory: 11037 grad_norm: 10.2152 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3054 loss: 2.3054 2022/08/08 15:18:48 - mmengine - INFO - Epoch(train) [8][800/1320] lr: 2.0000e-03 eta: 3:36:54 time: 0.2246 data_time: 0.0138 memory: 11037 grad_norm: 9.8758 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4461 loss: 2.4461 2022/08/08 15:18:53 - mmengine - INFO - Epoch(train) [8][820/1320] lr: 2.0000e-03 eta: 3:36:48 time: 0.2241 data_time: 0.0136 memory: 11037 grad_norm: 10.5352 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2758 loss: 2.2758 2022/08/08 15:18:58 - mmengine - INFO - Epoch(train) [8][840/1320] lr: 2.0000e-03 eta: 3:36:43 time: 0.2333 data_time: 0.0155 memory: 11037 grad_norm: 9.8854 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2896 loss: 2.2896 2022/08/08 15:19:02 - mmengine - INFO - Epoch(train) [8][860/1320] lr: 2.0000e-03 eta: 3:36:38 time: 0.2218 data_time: 0.0151 memory: 11037 grad_norm: 10.5443 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2860 loss: 2.2860 2022/08/08 15:19:07 - mmengine - INFO - Epoch(train) [8][880/1320] lr: 2.0000e-03 eta: 3:36:32 time: 0.2278 data_time: 0.0145 memory: 11037 grad_norm: 10.2125 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4694 loss: 2.4694 2022/08/08 15:19:11 - mmengine - INFO - Epoch(train) [8][900/1320] lr: 2.0000e-03 eta: 3:36:27 time: 0.2234 data_time: 0.0131 memory: 11037 grad_norm: 10.3988 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1757 loss: 2.1757 2022/08/08 15:19:16 - mmengine - INFO - Epoch(train) [8][920/1320] lr: 2.0000e-03 eta: 3:36:21 time: 0.2224 data_time: 0.0119 memory: 11037 grad_norm: 10.3762 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3347 loss: 2.3347 2022/08/08 15:19:20 - mmengine - INFO - Epoch(train) [8][940/1320] lr: 2.0000e-03 eta: 3:36:16 time: 0.2254 data_time: 0.0157 memory: 11037 grad_norm: 10.3551 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.4185 loss: 2.4185 2022/08/08 15:19:25 - mmengine - INFO - Epoch(train) [8][960/1320] lr: 2.0000e-03 eta: 3:36:11 time: 0.2323 data_time: 0.0156 memory: 11037 grad_norm: 10.2897 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3675 loss: 2.3675 2022/08/08 15:19:29 - mmengine - INFO - Epoch(train) [8][980/1320] lr: 2.0000e-03 eta: 3:36:05 time: 0.2232 data_time: 0.0134 memory: 11037 grad_norm: 10.5521 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4354 loss: 2.4354 2022/08/08 15:19:34 - mmengine - INFO - Epoch(train) [8][1000/1320] lr: 2.0000e-03 eta: 3:36:00 time: 0.2238 data_time: 0.0144 memory: 11037 grad_norm: 9.8554 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3724 loss: 2.3724 2022/08/08 15:19:38 - mmengine - INFO - Epoch(train) [8][1020/1320] lr: 2.0000e-03 eta: 3:35:54 time: 0.2251 data_time: 0.0155 memory: 11037 grad_norm: 10.0238 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.3728 loss: 2.3728 2022/08/08 15:19:43 - mmengine - INFO - Epoch(train) [8][1040/1320] lr: 2.0000e-03 eta: 3:35:48 time: 0.2227 data_time: 0.0136 memory: 11037 grad_norm: 10.5218 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3466 loss: 2.3466 2022/08/08 15:19:47 - mmengine - INFO - Epoch(train) [8][1060/1320] lr: 2.0000e-03 eta: 3:35:43 time: 0.2260 data_time: 0.0133 memory: 11037 grad_norm: 10.3387 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4182 loss: 2.4182 2022/08/08 15:19:52 - mmengine - INFO - Epoch(train) [8][1080/1320] lr: 2.0000e-03 eta: 3:35:38 time: 0.2247 data_time: 0.0136 memory: 11037 grad_norm: 9.9978 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4716 loss: 2.4716 2022/08/08 15:19:56 - mmengine - INFO - Epoch(train) [8][1100/1320] lr: 2.0000e-03 eta: 3:35:32 time: 0.2271 data_time: 0.0152 memory: 11037 grad_norm: 10.0774 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4150 loss: 2.4150 2022/08/08 15:20:01 - mmengine - INFO - Epoch(train) [8][1120/1320] lr: 2.0000e-03 eta: 3:35:27 time: 0.2242 data_time: 0.0140 memory: 11037 grad_norm: 9.9440 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4074 loss: 2.4074 2022/08/08 15:20:05 - mmengine - INFO - Epoch(train) [8][1140/1320] lr: 2.0000e-03 eta: 3:35:21 time: 0.2230 data_time: 0.0146 memory: 11037 grad_norm: 9.9519 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2864 loss: 2.2864 2022/08/08 15:20:10 - mmengine - INFO - Epoch(train) [8][1160/1320] lr: 2.0000e-03 eta: 3:35:16 time: 0.2235 data_time: 0.0126 memory: 11037 grad_norm: 9.9655 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2827 loss: 2.2827 2022/08/08 15:20:14 - mmengine - INFO - Epoch(train) [8][1180/1320] lr: 2.0000e-03 eta: 3:35:11 time: 0.2281 data_time: 0.0149 memory: 11037 grad_norm: 10.0888 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2605 loss: 2.2605 2022/08/08 15:20:19 - mmengine - INFO - Epoch(train) [8][1200/1320] lr: 2.0000e-03 eta: 3:35:05 time: 0.2233 data_time: 0.0135 memory: 11037 grad_norm: 10.5498 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4241 loss: 2.4241 2022/08/08 15:20:23 - mmengine - INFO - Epoch(train) [8][1220/1320] lr: 2.0000e-03 eta: 3:35:00 time: 0.2244 data_time: 0.0130 memory: 11037 grad_norm: 10.4295 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.4036 loss: 2.4036 2022/08/08 15:20:28 - mmengine - INFO - Epoch(train) [8][1240/1320] lr: 2.0000e-03 eta: 3:34:54 time: 0.2237 data_time: 0.0136 memory: 11037 grad_norm: 9.8990 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2430 loss: 2.2430 2022/08/08 15:20:32 - mmengine - INFO - Epoch(train) [8][1260/1320] lr: 2.0000e-03 eta: 3:34:48 time: 0.2238 data_time: 0.0128 memory: 11037 grad_norm: 10.0510 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2784 loss: 2.2784 2022/08/08 15:20:37 - mmengine - INFO - Epoch(train) [8][1280/1320] lr: 2.0000e-03 eta: 3:34:43 time: 0.2268 data_time: 0.0135 memory: 11037 grad_norm: 10.4989 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2025 loss: 2.2025 2022/08/08 15:20:41 - mmengine - INFO - Epoch(train) [8][1300/1320] lr: 2.0000e-03 eta: 3:34:38 time: 0.2242 data_time: 0.0137 memory: 11037 grad_norm: 10.2488 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2378 loss: 2.2378 2022/08/08 15:20:45 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:20:45 - mmengine - INFO - Epoch(train) [8][1320/1320] lr: 2.0000e-03 eta: 3:34:31 time: 0.2157 data_time: 0.0129 memory: 11037 grad_norm: 10.1394 top1_acc: 0.3636 top5_acc: 0.5455 loss_cls: 2.5038 loss: 2.5038 2022/08/08 15:20:45 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/08/08 15:20:51 - mmengine - INFO - Epoch(val) [8][20/194] eta: 0:00:29 time: 0.1692 data_time: 0.0926 memory: 1858 2022/08/08 15:20:54 - mmengine - INFO - Epoch(val) [8][40/194] eta: 0:00:15 time: 0.1037 data_time: 0.0279 memory: 1858 2022/08/08 15:20:56 - mmengine - INFO - Epoch(val) [8][60/194] eta: 0:00:16 time: 0.1215 data_time: 0.0431 memory: 1858 2022/08/08 15:20:58 - mmengine - INFO - Epoch(val) [8][80/194] eta: 0:00:11 time: 0.1004 data_time: 0.0250 memory: 1858 2022/08/08 15:21:01 - mmengine - INFO - Epoch(val) [8][100/194] eta: 0:00:12 time: 0.1327 data_time: 0.0557 memory: 1858 2022/08/08 15:21:03 - mmengine - INFO - Epoch(val) [8][120/194] eta: 0:00:07 time: 0.1025 data_time: 0.0258 memory: 1858 2022/08/08 15:21:05 - mmengine - INFO - Epoch(val) [8][140/194] eta: 0:00:07 time: 0.1338 data_time: 0.0605 memory: 1858 2022/08/08 15:21:07 - mmengine - INFO - Epoch(val) [8][160/194] eta: 0:00:03 time: 0.1003 data_time: 0.0251 memory: 1858 2022/08/08 15:21:09 - mmengine - INFO - Epoch(val) [8][180/194] eta: 0:00:01 time: 0.0752 data_time: 0.0187 memory: 1858 2022/08/08 15:21:11 - mmengine - INFO - Epoch(val) [8][194/194] acc/top1: 0.3824 acc/top5: 0.6711 acc/mean1: 0.3075 2022/08/08 15:21:11 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_8.pth is removed 2022/08/08 15:21:12 - mmengine - INFO - The best checkpoint with 0.3824 acc/top1 at 9 epoch is saved to best_acc/top1_epoch_9.pth. 2022/08/08 15:21:12 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:21:17 - mmengine - INFO - Epoch(train) [9][20/1320] lr: 2.0000e-03 eta: 3:34:29 time: 0.2499 data_time: 0.0382 memory: 11037 grad_norm: 10.2369 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0416 loss: 2.0416 2022/08/08 15:21:21 - mmengine - INFO - Epoch(train) [9][40/1320] lr: 2.0000e-03 eta: 3:34:23 time: 0.2237 data_time: 0.0136 memory: 11037 grad_norm: 10.4127 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4695 loss: 2.4695 2022/08/08 15:21:26 - mmengine - INFO - Epoch(train) [9][60/1320] lr: 2.0000e-03 eta: 3:34:18 time: 0.2270 data_time: 0.0144 memory: 11037 grad_norm: 10.4390 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.3433 loss: 2.3433 2022/08/08 15:21:30 - mmengine - INFO - Epoch(train) [9][80/1320] lr: 2.0000e-03 eta: 3:34:12 time: 0.2235 data_time: 0.0131 memory: 11037 grad_norm: 10.4978 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2856 loss: 2.2856 2022/08/08 15:21:35 - mmengine - INFO - Epoch(train) [9][100/1320] lr: 2.0000e-03 eta: 3:34:07 time: 0.2254 data_time: 0.0140 memory: 11037 grad_norm: 10.5975 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2530 loss: 2.2530 2022/08/08 15:21:39 - mmengine - INFO - Epoch(train) [9][120/1320] lr: 2.0000e-03 eta: 3:34:01 time: 0.2241 data_time: 0.0148 memory: 11037 grad_norm: 10.4605 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2659 loss: 2.2659 2022/08/08 15:21:44 - mmengine - INFO - Epoch(train) [9][140/1320] lr: 2.0000e-03 eta: 3:33:56 time: 0.2254 data_time: 0.0124 memory: 11037 grad_norm: 10.2097 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2196 loss: 2.2196 2022/08/08 15:21:48 - mmengine - INFO - Epoch(train) [9][160/1320] lr: 2.0000e-03 eta: 3:33:51 time: 0.2230 data_time: 0.0117 memory: 11037 grad_norm: 10.3464 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3744 loss: 2.3744 2022/08/08 15:21:53 - mmengine - INFO - Epoch(train) [9][180/1320] lr: 2.0000e-03 eta: 3:33:45 time: 0.2230 data_time: 0.0133 memory: 11037 grad_norm: 10.0812 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3286 loss: 2.3286 2022/08/08 15:21:57 - mmengine - INFO - Epoch(train) [9][200/1320] lr: 2.0000e-03 eta: 3:33:39 time: 0.2229 data_time: 0.0125 memory: 11037 grad_norm: 10.5715 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2818 loss: 2.2818 2022/08/08 15:22:02 - mmengine - INFO - Epoch(train) [9][220/1320] lr: 2.0000e-03 eta: 3:33:34 time: 0.2226 data_time: 0.0131 memory: 11037 grad_norm: 10.2698 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2317 loss: 2.2317 2022/08/08 15:22:06 - mmengine - INFO - Epoch(train) [9][240/1320] lr: 2.0000e-03 eta: 3:33:29 time: 0.2287 data_time: 0.0147 memory: 11037 grad_norm: 10.0634 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1794 loss: 2.1794 2022/08/08 15:22:11 - mmengine - INFO - Epoch(train) [9][260/1320] lr: 2.0000e-03 eta: 3:33:23 time: 0.2243 data_time: 0.0146 memory: 11037 grad_norm: 10.7739 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2952 loss: 2.2952 2022/08/08 15:22:15 - mmengine - INFO - Epoch(train) [9][280/1320] lr: 2.0000e-03 eta: 3:33:18 time: 0.2230 data_time: 0.0132 memory: 11037 grad_norm: 10.5403 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3185 loss: 2.3185 2022/08/08 15:22:20 - mmengine - INFO - Epoch(train) [9][300/1320] lr: 2.0000e-03 eta: 3:33:12 time: 0.2242 data_time: 0.0142 memory: 11037 grad_norm: 10.1574 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 2.1185 loss: 2.1185 2022/08/08 15:22:24 - mmengine - INFO - Epoch(train) [9][320/1320] lr: 2.0000e-03 eta: 3:33:07 time: 0.2256 data_time: 0.0130 memory: 11037 grad_norm: 10.7885 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2375 loss: 2.2375 2022/08/08 15:22:29 - mmengine - INFO - Epoch(train) [9][340/1320] lr: 2.0000e-03 eta: 3:33:02 time: 0.2235 data_time: 0.0129 memory: 11037 grad_norm: 9.9726 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.3269 loss: 2.3269 2022/08/08 15:22:33 - mmengine - INFO - Epoch(train) [9][360/1320] lr: 2.0000e-03 eta: 3:32:56 time: 0.2235 data_time: 0.0145 memory: 11037 grad_norm: 10.2000 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1373 loss: 2.1373 2022/08/08 15:22:38 - mmengine - INFO - Epoch(train) [9][380/1320] lr: 2.0000e-03 eta: 3:32:51 time: 0.2242 data_time: 0.0138 memory: 11037 grad_norm: 9.8203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2465 loss: 2.2465 2022/08/08 15:22:42 - mmengine - INFO - Epoch(train) [9][400/1320] lr: 2.0000e-03 eta: 3:32:45 time: 0.2239 data_time: 0.0151 memory: 11037 grad_norm: 10.3774 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.4452 loss: 2.4452 2022/08/08 15:22:47 - mmengine - INFO - Epoch(train) [9][420/1320] lr: 2.0000e-03 eta: 3:32:40 time: 0.2243 data_time: 0.0135 memory: 11037 grad_norm: 10.8386 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3896 loss: 2.3896 2022/08/08 15:22:51 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:22:51 - mmengine - INFO - Epoch(train) [9][440/1320] lr: 2.0000e-03 eta: 3:32:34 time: 0.2240 data_time: 0.0134 memory: 11037 grad_norm: 9.9259 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1680 loss: 2.1680 2022/08/08 15:22:56 - mmengine - INFO - Epoch(train) [9][460/1320] lr: 2.0000e-03 eta: 3:32:29 time: 0.2245 data_time: 0.0145 memory: 11037 grad_norm: 9.9160 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2036 loss: 2.2036 2022/08/08 15:23:00 - mmengine - INFO - Epoch(train) [9][480/1320] lr: 2.0000e-03 eta: 3:32:24 time: 0.2239 data_time: 0.0147 memory: 11037 grad_norm: 10.3265 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2822 loss: 2.2822 2022/08/08 15:23:05 - mmengine - INFO - Epoch(train) [9][500/1320] lr: 2.0000e-03 eta: 3:32:18 time: 0.2241 data_time: 0.0128 memory: 11037 grad_norm: 10.2505 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4588 loss: 2.4588 2022/08/08 15:23:09 - mmengine - INFO - Epoch(train) [9][520/1320] lr: 2.0000e-03 eta: 3:32:13 time: 0.2235 data_time: 0.0148 memory: 11037 grad_norm: 9.9565 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3563 loss: 2.3563 2022/08/08 15:23:14 - mmengine - INFO - Epoch(train) [9][540/1320] lr: 2.0000e-03 eta: 3:32:07 time: 0.2234 data_time: 0.0143 memory: 11037 grad_norm: 10.3184 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1757 loss: 2.1757 2022/08/08 15:23:18 - mmengine - INFO - Epoch(train) [9][560/1320] lr: 2.0000e-03 eta: 3:32:02 time: 0.2275 data_time: 0.0139 memory: 11037 grad_norm: 10.7221 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2792 loss: 2.2792 2022/08/08 15:23:23 - mmengine - INFO - Epoch(train) [9][580/1320] lr: 2.0000e-03 eta: 3:31:57 time: 0.2231 data_time: 0.0136 memory: 11037 grad_norm: 9.7621 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3757 loss: 2.3757 2022/08/08 15:23:27 - mmengine - INFO - Epoch(train) [9][600/1320] lr: 2.0000e-03 eta: 3:31:51 time: 0.2246 data_time: 0.0141 memory: 11037 grad_norm: 10.2886 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1744 loss: 2.1744 2022/08/08 15:23:32 - mmengine - INFO - Epoch(train) [9][620/1320] lr: 2.0000e-03 eta: 3:31:46 time: 0.2236 data_time: 0.0132 memory: 11037 grad_norm: 10.1770 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3259 loss: 2.3259 2022/08/08 15:23:36 - mmengine - INFO - Epoch(train) [9][640/1320] lr: 2.0000e-03 eta: 3:31:41 time: 0.2264 data_time: 0.0140 memory: 11037 grad_norm: 10.0692 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2784 loss: 2.2784 2022/08/08 15:23:41 - mmengine - INFO - Epoch(train) [9][660/1320] lr: 2.0000e-03 eta: 3:31:35 time: 0.2244 data_time: 0.0144 memory: 11037 grad_norm: 10.1669 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3805 loss: 2.3805 2022/08/08 15:23:45 - mmengine - INFO - Epoch(train) [9][680/1320] lr: 2.0000e-03 eta: 3:31:30 time: 0.2228 data_time: 0.0138 memory: 11037 grad_norm: 10.3083 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2603 loss: 2.2603 2022/08/08 15:23:49 - mmengine - INFO - Epoch(train) [9][700/1320] lr: 2.0000e-03 eta: 3:31:24 time: 0.2236 data_time: 0.0132 memory: 11037 grad_norm: 10.2720 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1588 loss: 2.1588 2022/08/08 15:23:54 - mmengine - INFO - Epoch(train) [9][720/1320] lr: 2.0000e-03 eta: 3:31:19 time: 0.2230 data_time: 0.0134 memory: 11037 grad_norm: 10.4073 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4488 loss: 2.4488 2022/08/08 15:23:58 - mmengine - INFO - Epoch(train) [9][740/1320] lr: 2.0000e-03 eta: 3:31:14 time: 0.2244 data_time: 0.0140 memory: 11037 grad_norm: 10.0892 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.4104 loss: 2.4104 2022/08/08 15:24:03 - mmengine - INFO - Epoch(train) [9][760/1320] lr: 2.0000e-03 eta: 3:31:08 time: 0.2233 data_time: 0.0131 memory: 11037 grad_norm: 10.1417 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 2.3906 loss: 2.3906 2022/08/08 15:24:07 - mmengine - INFO - Epoch(train) [9][780/1320] lr: 2.0000e-03 eta: 3:31:03 time: 0.2252 data_time: 0.0146 memory: 11037 grad_norm: 10.3717 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2706 loss: 2.2706 2022/08/08 15:24:12 - mmengine - INFO - Epoch(train) [9][800/1320] lr: 2.0000e-03 eta: 3:30:57 time: 0.2237 data_time: 0.0134 memory: 11037 grad_norm: 10.4029 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2971 loss: 2.2971 2022/08/08 15:24:16 - mmengine - INFO - Epoch(train) [9][820/1320] lr: 2.0000e-03 eta: 3:30:53 time: 0.2301 data_time: 0.0136 memory: 11037 grad_norm: 10.3339 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4654 loss: 2.4654 2022/08/08 15:24:21 - mmengine - INFO - Epoch(train) [9][840/1320] lr: 2.0000e-03 eta: 3:30:47 time: 0.2241 data_time: 0.0141 memory: 11037 grad_norm: 10.4910 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2861 loss: 2.2861 2022/08/08 15:24:25 - mmengine - INFO - Epoch(train) [9][860/1320] lr: 2.0000e-03 eta: 3:30:42 time: 0.2229 data_time: 0.0128 memory: 11037 grad_norm: 10.0565 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4725 loss: 2.4725 2022/08/08 15:24:30 - mmengine - INFO - Epoch(train) [9][880/1320] lr: 2.0000e-03 eta: 3:30:36 time: 0.2229 data_time: 0.0140 memory: 11037 grad_norm: 10.2824 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4902 loss: 2.4902 2022/08/08 15:24:34 - mmengine - INFO - Epoch(train) [9][900/1320] lr: 2.0000e-03 eta: 3:30:31 time: 0.2263 data_time: 0.0143 memory: 11037 grad_norm: 10.2103 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2814 loss: 2.2814 2022/08/08 15:24:39 - mmengine - INFO - Epoch(train) [9][920/1320] lr: 2.0000e-03 eta: 3:30:26 time: 0.2239 data_time: 0.0132 memory: 11037 grad_norm: 10.2837 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2733 loss: 2.2733 2022/08/08 15:24:43 - mmengine - INFO - Epoch(train) [9][940/1320] lr: 2.0000e-03 eta: 3:30:20 time: 0.2227 data_time: 0.0132 memory: 11037 grad_norm: 10.2209 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3413 loss: 2.3413 2022/08/08 15:24:48 - mmengine - INFO - Epoch(train) [9][960/1320] lr: 2.0000e-03 eta: 3:30:15 time: 0.2247 data_time: 0.0147 memory: 11037 grad_norm: 10.4114 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2020 loss: 2.2020 2022/08/08 15:24:52 - mmengine - INFO - Epoch(train) [9][980/1320] lr: 2.0000e-03 eta: 3:30:10 time: 0.2239 data_time: 0.0140 memory: 11037 grad_norm: 10.1356 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3331 loss: 2.3331 2022/08/08 15:24:57 - mmengine - INFO - Epoch(train) [9][1000/1320] lr: 2.0000e-03 eta: 3:30:05 time: 0.2314 data_time: 0.0147 memory: 11037 grad_norm: 10.2758 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.3778 loss: 2.3778 2022/08/08 15:25:01 - mmengine - INFO - Epoch(train) [9][1020/1320] lr: 2.0000e-03 eta: 3:30:00 time: 0.2242 data_time: 0.0140 memory: 11037 grad_norm: 9.8395 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4096 loss: 2.4096 2022/08/08 15:25:06 - mmengine - INFO - Epoch(train) [9][1040/1320] lr: 2.0000e-03 eta: 3:29:54 time: 0.2230 data_time: 0.0131 memory: 11037 grad_norm: 10.1269 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1086 loss: 2.1086 2022/08/08 15:25:10 - mmengine - INFO - Epoch(train) [9][1060/1320] lr: 2.0000e-03 eta: 3:29:49 time: 0.2244 data_time: 0.0148 memory: 11037 grad_norm: 10.4491 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2234 loss: 2.2234 2022/08/08 15:25:15 - mmengine - INFO - Epoch(train) [9][1080/1320] lr: 2.0000e-03 eta: 3:29:44 time: 0.2271 data_time: 0.0163 memory: 11037 grad_norm: 10.7681 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4347 loss: 2.4347 2022/08/08 15:25:19 - mmengine - INFO - Epoch(train) [9][1100/1320] lr: 2.0000e-03 eta: 3:29:39 time: 0.2242 data_time: 0.0128 memory: 11037 grad_norm: 10.2958 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3381 loss: 2.3381 2022/08/08 15:25:24 - mmengine - INFO - Epoch(train) [9][1120/1320] lr: 2.0000e-03 eta: 3:29:33 time: 0.2246 data_time: 0.0139 memory: 11037 grad_norm: 10.4623 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.3476 loss: 2.3476 2022/08/08 15:25:28 - mmengine - INFO - Epoch(train) [9][1140/1320] lr: 2.0000e-03 eta: 3:29:28 time: 0.2235 data_time: 0.0142 memory: 11037 grad_norm: 10.4693 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.5320 loss: 2.5320 2022/08/08 15:25:33 - mmengine - INFO - Epoch(train) [9][1160/1320] lr: 2.0000e-03 eta: 3:29:23 time: 0.2235 data_time: 0.0133 memory: 11037 grad_norm: 9.7403 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2984 loss: 2.2984 2022/08/08 15:25:37 - mmengine - INFO - Epoch(train) [9][1180/1320] lr: 2.0000e-03 eta: 3:29:18 time: 0.2295 data_time: 0.0140 memory: 11037 grad_norm: 10.2532 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5060 loss: 2.5060 2022/08/08 15:25:42 - mmengine - INFO - Epoch(train) [9][1200/1320] lr: 2.0000e-03 eta: 3:29:12 time: 0.2224 data_time: 0.0146 memory: 11037 grad_norm: 10.2038 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2537 loss: 2.2537 2022/08/08 15:25:46 - mmengine - INFO - Epoch(train) [9][1220/1320] lr: 2.0000e-03 eta: 3:29:07 time: 0.2254 data_time: 0.0133 memory: 11037 grad_norm: 10.1604 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5109 loss: 2.5109 2022/08/08 15:25:51 - mmengine - INFO - Epoch(train) [9][1240/1320] lr: 2.0000e-03 eta: 3:29:02 time: 0.2242 data_time: 0.0126 memory: 11037 grad_norm: 10.2764 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4007 loss: 2.4007 2022/08/08 15:25:56 - mmengine - INFO - Epoch(train) [9][1260/1320] lr: 2.0000e-03 eta: 3:28:58 time: 0.2347 data_time: 0.0140 memory: 11037 grad_norm: 9.9601 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.2294 loss: 2.2294 2022/08/08 15:26:00 - mmengine - INFO - Epoch(train) [9][1280/1320] lr: 2.0000e-03 eta: 3:28:52 time: 0.2234 data_time: 0.0129 memory: 11037 grad_norm: 10.2596 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.3391 loss: 2.3391 2022/08/08 15:26:05 - mmengine - INFO - Epoch(train) [9][1300/1320] lr: 2.0000e-03 eta: 3:28:47 time: 0.2246 data_time: 0.0134 memory: 11037 grad_norm: 10.4096 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2473 loss: 2.2473 2022/08/08 15:26:09 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:26:09 - mmengine - INFO - Epoch(train) [9][1320/1320] lr: 2.0000e-03 eta: 3:28:41 time: 0.2159 data_time: 0.0152 memory: 11037 grad_norm: 10.5356 top1_acc: 0.4545 top5_acc: 0.8182 loss_cls: 2.3444 loss: 2.3444 2022/08/08 15:26:09 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/08/08 15:26:15 - mmengine - INFO - Epoch(val) [9][20/194] eta: 0:00:27 time: 0.1589 data_time: 0.0830 memory: 1858 2022/08/08 15:26:17 - mmengine - INFO - Epoch(val) [9][40/194] eta: 0:00:17 time: 0.1133 data_time: 0.0343 memory: 1858 2022/08/08 15:26:19 - mmengine - INFO - Epoch(val) [9][60/194] eta: 0:00:16 time: 0.1204 data_time: 0.0441 memory: 1858 2022/08/08 15:26:21 - mmengine - INFO - Epoch(val) [9][80/194] eta: 0:00:11 time: 0.1023 data_time: 0.0260 memory: 1858 2022/08/08 15:26:24 - mmengine - INFO - Epoch(val) [9][100/194] eta: 0:00:11 time: 0.1193 data_time: 0.0404 memory: 1858 2022/08/08 15:26:26 - mmengine - INFO - Epoch(val) [9][120/194] eta: 0:00:09 time: 0.1241 data_time: 0.0461 memory: 1858 2022/08/08 15:26:28 - mmengine - INFO - Epoch(val) [9][140/194] eta: 0:00:05 time: 0.1013 data_time: 0.0246 memory: 1858 2022/08/08 15:26:30 - mmengine - INFO - Epoch(val) [9][160/194] eta: 0:00:03 time: 0.1081 data_time: 0.0308 memory: 1858 2022/08/08 15:26:32 - mmengine - INFO - Epoch(val) [9][180/194] eta: 0:00:01 time: 0.0765 data_time: 0.0200 memory: 1858 2022/08/08 15:26:34 - mmengine - INFO - Epoch(val) [9][194/194] acc/top1: 0.3868 acc/top5: 0.6763 acc/mean1: 0.3116 2022/08/08 15:26:34 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_9.pth is removed 2022/08/08 15:26:35 - mmengine - INFO - The best checkpoint with 0.3868 acc/top1 at 10 epoch is saved to best_acc/top1_epoch_10.pth. 2022/08/08 15:26:35 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:26:40 - mmengine - INFO - Epoch(train) [10][20/1320] lr: 2.0000e-03 eta: 3:28:38 time: 0.2477 data_time: 0.0395 memory: 11037 grad_norm: 10.4916 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0359 loss: 2.0359 2022/08/08 15:26:45 - mmengine - INFO - Epoch(train) [10][40/1320] lr: 2.0000e-03 eta: 3:28:33 time: 0.2251 data_time: 0.0141 memory: 11037 grad_norm: 9.9781 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2610 loss: 2.2610 2022/08/08 15:26:49 - mmengine - INFO - Epoch(train) [10][60/1320] lr: 2.0000e-03 eta: 3:28:27 time: 0.2247 data_time: 0.0157 memory: 11037 grad_norm: 10.5776 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2933 loss: 2.2933 2022/08/08 15:26:54 - mmengine - INFO - Epoch(train) [10][80/1320] lr: 2.0000e-03 eta: 3:28:22 time: 0.2231 data_time: 0.0134 memory: 11037 grad_norm: 10.1139 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0308 loss: 2.0308 2022/08/08 15:26:58 - mmengine - INFO - Epoch(train) [10][100/1320] lr: 2.0000e-03 eta: 3:28:17 time: 0.2256 data_time: 0.0145 memory: 11037 grad_norm: 10.0934 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3223 loss: 2.3223 2022/08/08 15:27:03 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:27:03 - mmengine - INFO - Epoch(train) [10][120/1320] lr: 2.0000e-03 eta: 3:28:12 time: 0.2241 data_time: 0.0140 memory: 11037 grad_norm: 10.3912 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5570 loss: 2.5570 2022/08/08 15:27:07 - mmengine - INFO - Epoch(train) [10][140/1320] lr: 2.0000e-03 eta: 3:28:06 time: 0.2240 data_time: 0.0136 memory: 11037 grad_norm: 10.6086 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2528 loss: 2.2528 2022/08/08 15:27:12 - mmengine - INFO - Epoch(train) [10][160/1320] lr: 2.0000e-03 eta: 3:28:01 time: 0.2226 data_time: 0.0132 memory: 11037 grad_norm: 9.9292 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3237 loss: 2.3237 2022/08/08 15:27:16 - mmengine - INFO - Epoch(train) [10][180/1320] lr: 2.0000e-03 eta: 3:27:56 time: 0.2260 data_time: 0.0152 memory: 11037 grad_norm: 10.3698 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 2.0922 loss: 2.0922 2022/08/08 15:27:21 - mmengine - INFO - Epoch(train) [10][200/1320] lr: 2.0000e-03 eta: 3:27:50 time: 0.2230 data_time: 0.0127 memory: 11037 grad_norm: 10.5780 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2962 loss: 2.2962 2022/08/08 15:27:25 - mmengine - INFO - Epoch(train) [10][220/1320] lr: 2.0000e-03 eta: 3:27:45 time: 0.2244 data_time: 0.0134 memory: 11037 grad_norm: 10.3059 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2217 loss: 2.2217 2022/08/08 15:27:30 - mmengine - INFO - Epoch(train) [10][240/1320] lr: 2.0000e-03 eta: 3:27:40 time: 0.2240 data_time: 0.0143 memory: 11037 grad_norm: 10.3900 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.3715 loss: 2.3715 2022/08/08 15:27:34 - mmengine - INFO - Epoch(train) [10][260/1320] lr: 2.0000e-03 eta: 3:27:35 time: 0.2234 data_time: 0.0126 memory: 11037 grad_norm: 10.3585 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1594 loss: 2.1594 2022/08/08 15:27:39 - mmengine - INFO - Epoch(train) [10][280/1320] lr: 2.0000e-03 eta: 3:27:29 time: 0.2241 data_time: 0.0141 memory: 11037 grad_norm: 10.2654 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1815 loss: 2.1815 2022/08/08 15:27:43 - mmengine - INFO - Epoch(train) [10][300/1320] lr: 2.0000e-03 eta: 3:27:24 time: 0.2243 data_time: 0.0131 memory: 11037 grad_norm: 10.1995 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0710 loss: 2.0710 2022/08/08 15:27:48 - mmengine - INFO - Epoch(train) [10][320/1320] lr: 2.0000e-03 eta: 3:27:20 time: 0.2369 data_time: 0.0148 memory: 11037 grad_norm: 10.0426 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2695 loss: 2.2695 2022/08/08 15:27:52 - mmengine - INFO - Epoch(train) [10][340/1320] lr: 2.0000e-03 eta: 3:27:15 time: 0.2241 data_time: 0.0137 memory: 11037 grad_norm: 10.8152 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3885 loss: 2.3885 2022/08/08 15:27:57 - mmengine - INFO - Epoch(train) [10][360/1320] lr: 2.0000e-03 eta: 3:27:10 time: 0.2245 data_time: 0.0142 memory: 11037 grad_norm: 10.1611 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1647 loss: 2.1647 2022/08/08 15:28:01 - mmengine - INFO - Epoch(train) [10][380/1320] lr: 2.0000e-03 eta: 3:27:04 time: 0.2232 data_time: 0.0144 memory: 11037 grad_norm: 10.3085 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0589 loss: 2.0589 2022/08/08 15:28:06 - mmengine - INFO - Epoch(train) [10][400/1320] lr: 2.0000e-03 eta: 3:26:59 time: 0.2243 data_time: 0.0139 memory: 11037 grad_norm: 10.0855 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1693 loss: 2.1693 2022/08/08 15:28:10 - mmengine - INFO - Epoch(train) [10][420/1320] lr: 2.0000e-03 eta: 3:26:54 time: 0.2233 data_time: 0.0138 memory: 11037 grad_norm: 10.5704 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2577 loss: 2.2577 2022/08/08 15:28:15 - mmengine - INFO - Epoch(train) [10][440/1320] lr: 2.0000e-03 eta: 3:26:49 time: 0.2249 data_time: 0.0121 memory: 11037 grad_norm: 10.3820 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0639 loss: 2.0639 2022/08/08 15:28:19 - mmengine - INFO - Epoch(train) [10][460/1320] lr: 2.0000e-03 eta: 3:26:43 time: 0.2234 data_time: 0.0137 memory: 11037 grad_norm: 10.1590 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1987 loss: 2.1987 2022/08/08 15:28:24 - mmengine - INFO - Epoch(train) [10][480/1320] lr: 2.0000e-03 eta: 3:26:38 time: 0.2241 data_time: 0.0142 memory: 11037 grad_norm: 10.4331 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1524 loss: 2.1524 2022/08/08 15:28:28 - mmengine - INFO - Epoch(train) [10][500/1320] lr: 2.0000e-03 eta: 3:26:33 time: 0.2254 data_time: 0.0132 memory: 11037 grad_norm: 10.3192 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1884 loss: 2.1884 2022/08/08 15:28:33 - mmengine - INFO - Epoch(train) [10][520/1320] lr: 2.0000e-03 eta: 3:26:28 time: 0.2237 data_time: 0.0133 memory: 11037 grad_norm: 10.3638 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1487 loss: 2.1487 2022/08/08 15:28:37 - mmengine - INFO - Epoch(train) [10][540/1320] lr: 2.0000e-03 eta: 3:26:23 time: 0.2289 data_time: 0.0148 memory: 11037 grad_norm: 10.3978 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1604 loss: 2.1604 2022/08/08 15:28:42 - mmengine - INFO - Epoch(train) [10][560/1320] lr: 2.0000e-03 eta: 3:26:17 time: 0.2217 data_time: 0.0118 memory: 11037 grad_norm: 10.3819 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3808 loss: 2.3808 2022/08/08 15:28:46 - mmengine - INFO - Epoch(train) [10][580/1320] lr: 2.0000e-03 eta: 3:26:12 time: 0.2226 data_time: 0.0139 memory: 11037 grad_norm: 9.9486 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0872 loss: 2.0872 2022/08/08 15:28:51 - mmengine - INFO - Epoch(train) [10][600/1320] lr: 2.0000e-03 eta: 3:26:07 time: 0.2254 data_time: 0.0149 memory: 11037 grad_norm: 10.3057 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0980 loss: 2.0980 2022/08/08 15:28:55 - mmengine - INFO - Epoch(train) [10][620/1320] lr: 2.0000e-03 eta: 3:26:02 time: 0.2265 data_time: 0.0140 memory: 11037 grad_norm: 10.4281 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.3736 loss: 2.3736 2022/08/08 15:29:00 - mmengine - INFO - Epoch(train) [10][640/1320] lr: 2.0000e-03 eta: 3:25:57 time: 0.2241 data_time: 0.0127 memory: 11037 grad_norm: 10.4328 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3834 loss: 2.3834 2022/08/08 15:29:04 - mmengine - INFO - Epoch(train) [10][660/1320] lr: 2.0000e-03 eta: 3:25:51 time: 0.2238 data_time: 0.0145 memory: 11037 grad_norm: 9.8518 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.3156 loss: 2.3156 2022/08/08 15:29:09 - mmengine - INFO - Epoch(train) [10][680/1320] lr: 2.0000e-03 eta: 3:25:46 time: 0.2244 data_time: 0.0155 memory: 11037 grad_norm: 10.3676 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2236 loss: 2.2236 2022/08/08 15:29:13 - mmengine - INFO - Epoch(train) [10][700/1320] lr: 2.0000e-03 eta: 3:25:41 time: 0.2238 data_time: 0.0142 memory: 11037 grad_norm: 10.2078 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.4064 loss: 2.4064 2022/08/08 15:29:18 - mmengine - INFO - Epoch(train) [10][720/1320] lr: 2.0000e-03 eta: 3:25:36 time: 0.2281 data_time: 0.0154 memory: 11037 grad_norm: 10.2626 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2823 loss: 2.2823 2022/08/08 15:29:22 - mmengine - INFO - Epoch(train) [10][740/1320] lr: 2.0000e-03 eta: 3:25:31 time: 0.2241 data_time: 0.0137 memory: 11037 grad_norm: 10.2490 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0346 loss: 2.0346 2022/08/08 15:29:27 - mmengine - INFO - Epoch(train) [10][760/1320] lr: 2.0000e-03 eta: 3:25:26 time: 0.2248 data_time: 0.0132 memory: 11037 grad_norm: 10.5467 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.3266 loss: 2.3266 2022/08/08 15:29:31 - mmengine - INFO - Epoch(train) [10][780/1320] lr: 2.0000e-03 eta: 3:25:21 time: 0.2238 data_time: 0.0170 memory: 11037 grad_norm: 10.8108 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1902 loss: 2.1902 2022/08/08 15:29:36 - mmengine - INFO - Epoch(train) [10][800/1320] lr: 2.0000e-03 eta: 3:25:15 time: 0.2261 data_time: 0.0132 memory: 11037 grad_norm: 10.5324 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1699 loss: 2.1699 2022/08/08 15:29:40 - mmengine - INFO - Epoch(train) [10][820/1320] lr: 2.0000e-03 eta: 3:25:10 time: 0.2230 data_time: 0.0131 memory: 11037 grad_norm: 10.1575 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2683 loss: 2.2683 2022/08/08 15:29:45 - mmengine - INFO - Epoch(train) [10][840/1320] lr: 2.0000e-03 eta: 3:25:05 time: 0.2243 data_time: 0.0138 memory: 11037 grad_norm: 10.0849 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.2920 loss: 2.2920 2022/08/08 15:29:49 - mmengine - INFO - Epoch(train) [10][860/1320] lr: 2.0000e-03 eta: 3:25:00 time: 0.2235 data_time: 0.0131 memory: 11037 grad_norm: 10.0885 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0344 loss: 2.0344 2022/08/08 15:29:54 - mmengine - INFO - Epoch(train) [10][880/1320] lr: 2.0000e-03 eta: 3:24:55 time: 0.2236 data_time: 0.0131 memory: 11037 grad_norm: 10.2981 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3186 loss: 2.3186 2022/08/08 15:29:58 - mmengine - INFO - Epoch(train) [10][900/1320] lr: 2.0000e-03 eta: 3:24:50 time: 0.2338 data_time: 0.0151 memory: 11037 grad_norm: 10.3121 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1999 loss: 2.1999 2022/08/08 15:30:03 - mmengine - INFO - Epoch(train) [10][920/1320] lr: 2.0000e-03 eta: 3:24:45 time: 0.2234 data_time: 0.0137 memory: 11037 grad_norm: 10.5476 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3313 loss: 2.3313 2022/08/08 15:30:07 - mmengine - INFO - Epoch(train) [10][940/1320] lr: 2.0000e-03 eta: 3:24:40 time: 0.2236 data_time: 0.0130 memory: 11037 grad_norm: 10.0963 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2106 loss: 2.2106 2022/08/08 15:30:12 - mmengine - INFO - Epoch(train) [10][960/1320] lr: 2.0000e-03 eta: 3:24:35 time: 0.2245 data_time: 0.0147 memory: 11037 grad_norm: 10.4078 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3972 loss: 2.3972 2022/08/08 15:30:16 - mmengine - INFO - Epoch(train) [10][980/1320] lr: 2.0000e-03 eta: 3:24:29 time: 0.2247 data_time: 0.0136 memory: 11037 grad_norm: 10.0418 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.2487 loss: 2.2487 2022/08/08 15:30:21 - mmengine - INFO - Epoch(train) [10][1000/1320] lr: 2.0000e-03 eta: 3:24:24 time: 0.2236 data_time: 0.0132 memory: 11037 grad_norm: 10.5425 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.3211 loss: 2.3211 2022/08/08 15:30:25 - mmengine - INFO - Epoch(train) [10][1020/1320] lr: 2.0000e-03 eta: 3:24:19 time: 0.2246 data_time: 0.0147 memory: 11037 grad_norm: 10.3133 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4248 loss: 2.4248 2022/08/08 15:30:30 - mmengine - INFO - Epoch(train) [10][1040/1320] lr: 2.0000e-03 eta: 3:24:14 time: 0.2218 data_time: 0.0131 memory: 11037 grad_norm: 10.1278 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3281 loss: 2.3281 2022/08/08 15:30:34 - mmengine - INFO - Epoch(train) [10][1060/1320] lr: 2.0000e-03 eta: 3:24:09 time: 0.2242 data_time: 0.0133 memory: 11037 grad_norm: 10.1192 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2264 loss: 2.2264 2022/08/08 15:30:39 - mmengine - INFO - Epoch(train) [10][1080/1320] lr: 2.0000e-03 eta: 3:24:04 time: 0.2340 data_time: 0.0143 memory: 11037 grad_norm: 9.9221 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2241 loss: 2.2241 2022/08/08 15:30:43 - mmengine - INFO - Epoch(train) [10][1100/1320] lr: 2.0000e-03 eta: 3:23:59 time: 0.2225 data_time: 0.0128 memory: 11037 grad_norm: 10.2851 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4237 loss: 2.4237 2022/08/08 15:30:48 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:30:48 - mmengine - INFO - Epoch(train) [10][1120/1320] lr: 2.0000e-03 eta: 3:23:54 time: 0.2234 data_time: 0.0140 memory: 11037 grad_norm: 10.6315 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.1497 loss: 2.1497 2022/08/08 15:30:52 - mmengine - INFO - Epoch(train) [10][1140/1320] lr: 2.0000e-03 eta: 3:23:49 time: 0.2244 data_time: 0.0142 memory: 11037 grad_norm: 10.5251 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1806 loss: 2.1806 2022/08/08 15:30:57 - mmengine - INFO - Epoch(train) [10][1160/1320] lr: 2.0000e-03 eta: 3:23:44 time: 0.2282 data_time: 0.0133 memory: 11037 grad_norm: 10.4050 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1516 loss: 2.1516 2022/08/08 15:31:01 - mmengine - INFO - Epoch(train) [10][1180/1320] lr: 2.0000e-03 eta: 3:23:38 time: 0.2237 data_time: 0.0128 memory: 11037 grad_norm: 10.4452 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.4874 loss: 2.4874 2022/08/08 15:31:06 - mmengine - INFO - Epoch(train) [10][1200/1320] lr: 2.0000e-03 eta: 3:23:33 time: 0.2242 data_time: 0.0153 memory: 11037 grad_norm: 10.2333 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4262 loss: 2.4262 2022/08/08 15:31:10 - mmengine - INFO - Epoch(train) [10][1220/1320] lr: 2.0000e-03 eta: 3:23:28 time: 0.2240 data_time: 0.0135 memory: 11037 grad_norm: 10.1387 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.2035 loss: 2.2035 2022/08/08 15:31:15 - mmengine - INFO - Epoch(train) [10][1240/1320] lr: 2.0000e-03 eta: 3:23:23 time: 0.2260 data_time: 0.0152 memory: 11037 grad_norm: 10.5171 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1708 loss: 2.1708 2022/08/08 15:31:19 - mmengine - INFO - Epoch(train) [10][1260/1320] lr: 2.0000e-03 eta: 3:23:18 time: 0.2258 data_time: 0.0147 memory: 11037 grad_norm: 10.0488 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3285 loss: 2.3285 2022/08/08 15:31:24 - mmengine - INFO - Epoch(train) [10][1280/1320] lr: 2.0000e-03 eta: 3:23:13 time: 0.2230 data_time: 0.0130 memory: 11037 grad_norm: 9.8792 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3113 loss: 2.3113 2022/08/08 15:31:28 - mmengine - INFO - Epoch(train) [10][1300/1320] lr: 2.0000e-03 eta: 3:23:08 time: 0.2242 data_time: 0.0139 memory: 11037 grad_norm: 10.3299 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3268 loss: 2.3268 2022/08/08 15:31:33 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:31:33 - mmengine - INFO - Epoch(train) [10][1320/1320] lr: 2.0000e-03 eta: 3:23:02 time: 0.2145 data_time: 0.0134 memory: 11037 grad_norm: 10.1986 top1_acc: 0.4545 top5_acc: 0.7273 loss_cls: 2.2405 loss: 2.2405 2022/08/08 15:31:33 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/08/08 15:31:38 - mmengine - INFO - Epoch(val) [10][20/194] eta: 0:00:27 time: 0.1560 data_time: 0.0766 memory: 1858 2022/08/08 15:31:40 - mmengine - INFO - Epoch(val) [10][40/194] eta: 0:00:16 time: 0.1084 data_time: 0.0341 memory: 1858 2022/08/08 15:31:43 - mmengine - INFO - Epoch(val) [10][60/194] eta: 0:00:15 time: 0.1186 data_time: 0.0382 memory: 1858 2022/08/08 15:31:45 - mmengine - INFO - Epoch(val) [10][80/194] eta: 0:00:12 time: 0.1096 data_time: 0.0243 memory: 1858 2022/08/08 15:31:47 - mmengine - INFO - Epoch(val) [10][100/194] eta: 0:00:10 time: 0.1091 data_time: 0.0321 memory: 1858 2022/08/08 15:31:49 - mmengine - INFO - Epoch(val) [10][120/194] eta: 0:00:08 time: 0.1118 data_time: 0.0335 memory: 1858 2022/08/08 15:31:52 - mmengine - INFO - Epoch(val) [10][140/194] eta: 0:00:06 time: 0.1253 data_time: 0.0467 memory: 1858 2022/08/08 15:31:54 - mmengine - INFO - Epoch(val) [10][160/194] eta: 0:00:03 time: 0.0986 data_time: 0.0205 memory: 1858 2022/08/08 15:31:56 - mmengine - INFO - Epoch(val) [10][180/194] eta: 0:00:01 time: 0.0853 data_time: 0.0265 memory: 1858 2022/08/08 15:31:57 - mmengine - INFO - Epoch(val) [10][194/194] acc/top1: 0.3947 acc/top5: 0.6858 acc/mean1: 0.3161 2022/08/08 15:31:57 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_10.pth is removed 2022/08/08 15:31:59 - mmengine - INFO - The best checkpoint with 0.3947 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/08/08 15:31:59 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:32:04 - mmengine - INFO - Epoch(train) [11][20/1320] lr: 2.0000e-03 eta: 3:22:59 time: 0.2483 data_time: 0.0364 memory: 11037 grad_norm: 10.1894 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0050 loss: 2.0050 2022/08/08 15:32:08 - mmengine - INFO - Epoch(train) [11][40/1320] lr: 2.0000e-03 eta: 3:22:54 time: 0.2243 data_time: 0.0137 memory: 11037 grad_norm: 10.2415 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2640 loss: 2.2640 2022/08/08 15:32:13 - mmengine - INFO - Epoch(train) [11][60/1320] lr: 2.0000e-03 eta: 3:22:49 time: 0.2259 data_time: 0.0158 memory: 11037 grad_norm: 10.4267 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1982 loss: 2.1982 2022/08/08 15:32:17 - mmengine - INFO - Epoch(train) [11][80/1320] lr: 2.0000e-03 eta: 3:22:43 time: 0.2252 data_time: 0.0136 memory: 11037 grad_norm: 10.3129 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2488 loss: 2.2488 2022/08/08 15:32:22 - mmengine - INFO - Epoch(train) [11][100/1320] lr: 2.0000e-03 eta: 3:22:38 time: 0.2232 data_time: 0.0134 memory: 11037 grad_norm: 10.2516 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3815 loss: 2.3815 2022/08/08 15:32:26 - mmengine - INFO - Epoch(train) [11][120/1320] lr: 2.0000e-03 eta: 3:22:33 time: 0.2249 data_time: 0.0146 memory: 11037 grad_norm: 10.0691 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1370 loss: 2.1370 2022/08/08 15:32:31 - mmengine - INFO - Epoch(train) [11][140/1320] lr: 2.0000e-03 eta: 3:22:28 time: 0.2231 data_time: 0.0128 memory: 11037 grad_norm: 10.3688 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1159 loss: 2.1159 2022/08/08 15:32:35 - mmengine - INFO - Epoch(train) [11][160/1320] lr: 2.0000e-03 eta: 3:22:23 time: 0.2258 data_time: 0.0149 memory: 11037 grad_norm: 10.2559 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.2531 loss: 2.2531 2022/08/08 15:32:40 - mmengine - INFO - Epoch(train) [11][180/1320] lr: 2.0000e-03 eta: 3:22:18 time: 0.2251 data_time: 0.0140 memory: 11037 grad_norm: 10.4754 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2670 loss: 2.2670 2022/08/08 15:32:44 - mmengine - INFO - Epoch(train) [11][200/1320] lr: 2.0000e-03 eta: 3:22:13 time: 0.2235 data_time: 0.0146 memory: 11037 grad_norm: 10.2036 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0081 loss: 2.0081 2022/08/08 15:32:49 - mmengine - INFO - Epoch(train) [11][220/1320] lr: 2.0000e-03 eta: 3:22:08 time: 0.2254 data_time: 0.0145 memory: 11037 grad_norm: 10.1799 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 2.2283 loss: 2.2283 2022/08/08 15:32:53 - mmengine - INFO - Epoch(train) [11][240/1320] lr: 2.0000e-03 eta: 3:22:03 time: 0.2231 data_time: 0.0132 memory: 11037 grad_norm: 10.3338 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1694 loss: 2.1694 2022/08/08 15:32:58 - mmengine - INFO - Epoch(train) [11][260/1320] lr: 2.0000e-03 eta: 3:21:57 time: 0.2254 data_time: 0.0128 memory: 11037 grad_norm: 10.3862 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2889 loss: 2.2889 2022/08/08 15:33:02 - mmengine - INFO - Epoch(train) [11][280/1320] lr: 2.0000e-03 eta: 3:21:52 time: 0.2222 data_time: 0.0130 memory: 11037 grad_norm: 10.1847 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0041 loss: 2.0041 2022/08/08 15:33:07 - mmengine - INFO - Epoch(train) [11][300/1320] lr: 2.0000e-03 eta: 3:21:47 time: 0.2258 data_time: 0.0140 memory: 11037 grad_norm: 10.0590 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1322 loss: 2.1322 2022/08/08 15:33:11 - mmengine - INFO - Epoch(train) [11][320/1320] lr: 2.0000e-03 eta: 3:21:42 time: 0.2226 data_time: 0.0115 memory: 11037 grad_norm: 10.4743 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0885 loss: 2.0885 2022/08/08 15:33:16 - mmengine - INFO - Epoch(train) [11][340/1320] lr: 2.0000e-03 eta: 3:21:37 time: 0.2274 data_time: 0.0129 memory: 11037 grad_norm: 10.0804 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2010 loss: 2.2010 2022/08/08 15:33:20 - mmengine - INFO - Epoch(train) [11][360/1320] lr: 2.0000e-03 eta: 3:21:32 time: 0.2253 data_time: 0.0141 memory: 11037 grad_norm: 10.3759 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2700 loss: 2.2700 2022/08/08 15:33:25 - mmengine - INFO - Epoch(train) [11][380/1320] lr: 2.0000e-03 eta: 3:21:27 time: 0.2231 data_time: 0.0123 memory: 11037 grad_norm: 10.4395 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1802 loss: 2.1802 2022/08/08 15:33:29 - mmengine - INFO - Epoch(train) [11][400/1320] lr: 2.0000e-03 eta: 3:21:22 time: 0.2271 data_time: 0.0162 memory: 11037 grad_norm: 10.5086 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3235 loss: 2.3235 2022/08/08 15:33:34 - mmengine - INFO - Epoch(train) [11][420/1320] lr: 2.0000e-03 eta: 3:21:17 time: 0.2254 data_time: 0.0147 memory: 11037 grad_norm: 10.4198 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4522 loss: 2.4522 2022/08/08 15:33:38 - mmengine - INFO - Epoch(train) [11][440/1320] lr: 2.0000e-03 eta: 3:21:12 time: 0.2262 data_time: 0.0140 memory: 11037 grad_norm: 9.9492 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2185 loss: 2.2185 2022/08/08 15:33:43 - mmengine - INFO - Epoch(train) [11][460/1320] lr: 2.0000e-03 eta: 3:21:07 time: 0.2234 data_time: 0.0147 memory: 11037 grad_norm: 10.1834 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0064 loss: 2.0064 2022/08/08 15:33:47 - mmengine - INFO - Epoch(train) [11][480/1320] lr: 2.0000e-03 eta: 3:21:02 time: 0.2258 data_time: 0.0146 memory: 11037 grad_norm: 10.3867 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1868 loss: 2.1868 2022/08/08 15:33:52 - mmengine - INFO - Epoch(train) [11][500/1320] lr: 2.0000e-03 eta: 3:20:57 time: 0.2240 data_time: 0.0122 memory: 11037 grad_norm: 10.3093 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1441 loss: 2.1441 2022/08/08 15:33:56 - mmengine - INFO - Epoch(train) [11][520/1320] lr: 2.0000e-03 eta: 3:20:52 time: 0.2253 data_time: 0.0138 memory: 11037 grad_norm: 10.2925 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1483 loss: 2.1483 2022/08/08 15:34:01 - mmengine - INFO - Epoch(train) [11][540/1320] lr: 2.0000e-03 eta: 3:20:47 time: 0.2241 data_time: 0.0143 memory: 11037 grad_norm: 10.3700 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0607 loss: 2.0607 2022/08/08 15:34:05 - mmengine - INFO - Epoch(train) [11][560/1320] lr: 2.0000e-03 eta: 3:20:42 time: 0.2240 data_time: 0.0127 memory: 11037 grad_norm: 9.9661 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2445 loss: 2.2445 2022/08/08 15:34:10 - mmengine - INFO - Epoch(train) [11][580/1320] lr: 2.0000e-03 eta: 3:20:36 time: 0.2240 data_time: 0.0137 memory: 11037 grad_norm: 10.3438 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0797 loss: 2.0797 2022/08/08 15:34:14 - mmengine - INFO - Epoch(train) [11][600/1320] lr: 2.0000e-03 eta: 3:20:31 time: 0.2244 data_time: 0.0130 memory: 11037 grad_norm: 10.0631 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4011 loss: 2.4011 2022/08/08 15:34:19 - mmengine - INFO - Epoch(train) [11][620/1320] lr: 2.0000e-03 eta: 3:20:27 time: 0.2266 data_time: 0.0133 memory: 11037 grad_norm: 10.6318 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2382 loss: 2.2382 2022/08/08 15:34:23 - mmengine - INFO - Epoch(train) [11][640/1320] lr: 2.0000e-03 eta: 3:20:21 time: 0.2227 data_time: 0.0130 memory: 11037 grad_norm: 9.9626 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2478 loss: 2.2478 2022/08/08 15:34:28 - mmengine - INFO - Epoch(train) [11][660/1320] lr: 2.0000e-03 eta: 3:20:16 time: 0.2248 data_time: 0.0150 memory: 11037 grad_norm: 10.9905 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1799 loss: 2.1799 2022/08/08 15:34:32 - mmengine - INFO - Epoch(train) [11][680/1320] lr: 2.0000e-03 eta: 3:20:11 time: 0.2241 data_time: 0.0140 memory: 11037 grad_norm: 10.0572 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.0413 loss: 2.0413 2022/08/08 15:34:37 - mmengine - INFO - Epoch(train) [11][700/1320] lr: 2.0000e-03 eta: 3:20:06 time: 0.2291 data_time: 0.0134 memory: 11037 grad_norm: 10.0558 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.3542 loss: 2.3542 2022/08/08 15:34:41 - mmengine - INFO - Epoch(train) [11][720/1320] lr: 2.0000e-03 eta: 3:20:01 time: 0.2252 data_time: 0.0138 memory: 11037 grad_norm: 10.4278 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3256 loss: 2.3256 2022/08/08 15:34:46 - mmengine - INFO - Epoch(train) [11][740/1320] lr: 2.0000e-03 eta: 3:19:56 time: 0.2242 data_time: 0.0127 memory: 11037 grad_norm: 10.4019 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1123 loss: 2.1123 2022/08/08 15:34:50 - mmengine - INFO - Epoch(train) [11][760/1320] lr: 2.0000e-03 eta: 3:19:51 time: 0.2253 data_time: 0.0136 memory: 11037 grad_norm: 10.0484 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2157 loss: 2.2157 2022/08/08 15:34:55 - mmengine - INFO - Epoch(train) [11][780/1320] lr: 2.0000e-03 eta: 3:19:46 time: 0.2230 data_time: 0.0132 memory: 11037 grad_norm: 10.2637 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.2080 loss: 2.2080 2022/08/08 15:34:59 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:34:59 - mmengine - INFO - Epoch(train) [11][800/1320] lr: 2.0000e-03 eta: 3:19:42 time: 0.2320 data_time: 0.0129 memory: 11037 grad_norm: 10.5489 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2448 loss: 2.2448 2022/08/08 15:35:04 - mmengine - INFO - Epoch(train) [11][820/1320] lr: 2.0000e-03 eta: 3:19:37 time: 0.2237 data_time: 0.0132 memory: 11037 grad_norm: 10.3210 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2510 loss: 2.2510 2022/08/08 15:35:08 - mmengine - INFO - Epoch(train) [11][840/1320] lr: 2.0000e-03 eta: 3:19:32 time: 0.2257 data_time: 0.0142 memory: 11037 grad_norm: 10.3235 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1757 loss: 2.1757 2022/08/08 15:35:13 - mmengine - INFO - Epoch(train) [11][860/1320] lr: 2.0000e-03 eta: 3:19:27 time: 0.2237 data_time: 0.0114 memory: 11037 grad_norm: 10.2477 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0612 loss: 2.0612 2022/08/08 15:35:17 - mmengine - INFO - Epoch(train) [11][880/1320] lr: 2.0000e-03 eta: 3:19:22 time: 0.2260 data_time: 0.0137 memory: 11037 grad_norm: 10.0932 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3324 loss: 2.3324 2022/08/08 15:35:22 - mmengine - INFO - Epoch(train) [11][900/1320] lr: 2.0000e-03 eta: 3:19:17 time: 0.2241 data_time: 0.0137 memory: 11037 grad_norm: 10.1140 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4203 loss: 2.4203 2022/08/08 15:35:26 - mmengine - INFO - Epoch(train) [11][920/1320] lr: 2.0000e-03 eta: 3:19:11 time: 0.2231 data_time: 0.0126 memory: 11037 grad_norm: 10.4008 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2895 loss: 2.2895 2022/08/08 15:35:31 - mmengine - INFO - Epoch(train) [11][940/1320] lr: 2.0000e-03 eta: 3:19:06 time: 0.2238 data_time: 0.0133 memory: 11037 grad_norm: 10.1370 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3197 loss: 2.3197 2022/08/08 15:35:35 - mmengine - INFO - Epoch(train) [11][960/1320] lr: 2.0000e-03 eta: 3:19:01 time: 0.2268 data_time: 0.0136 memory: 11037 grad_norm: 10.1553 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1294 loss: 2.1294 2022/08/08 15:35:40 - mmengine - INFO - Epoch(train) [11][980/1320] lr: 2.0000e-03 eta: 3:18:57 time: 0.2273 data_time: 0.0119 memory: 11037 grad_norm: 10.2548 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2201 loss: 2.2201 2022/08/08 15:35:44 - mmengine - INFO - Epoch(train) [11][1000/1320] lr: 2.0000e-03 eta: 3:18:52 time: 0.2239 data_time: 0.0129 memory: 11037 grad_norm: 10.1286 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1425 loss: 2.1425 2022/08/08 15:35:49 - mmengine - INFO - Epoch(train) [11][1020/1320] lr: 2.0000e-03 eta: 3:18:47 time: 0.2274 data_time: 0.0150 memory: 11037 grad_norm: 9.8651 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3095 loss: 2.3095 2022/08/08 15:35:53 - mmengine - INFO - Epoch(train) [11][1040/1320] lr: 2.0000e-03 eta: 3:18:42 time: 0.2230 data_time: 0.0116 memory: 11037 grad_norm: 10.3060 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.1861 loss: 2.1861 2022/08/08 15:35:58 - mmengine - INFO - Epoch(train) [11][1060/1320] lr: 2.0000e-03 eta: 3:18:37 time: 0.2262 data_time: 0.0156 memory: 11037 grad_norm: 10.1948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0048 loss: 2.0048 2022/08/08 15:36:02 - mmengine - INFO - Epoch(train) [11][1080/1320] lr: 2.0000e-03 eta: 3:18:32 time: 0.2248 data_time: 0.0147 memory: 11037 grad_norm: 10.2914 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.3044 loss: 2.3044 2022/08/08 15:36:07 - mmengine - INFO - Epoch(train) [11][1100/1320] lr: 2.0000e-03 eta: 3:18:27 time: 0.2236 data_time: 0.0136 memory: 11037 grad_norm: 10.6544 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1400 loss: 2.1400 2022/08/08 15:36:11 - mmengine - INFO - Epoch(train) [11][1120/1320] lr: 2.0000e-03 eta: 3:18:21 time: 0.2230 data_time: 0.0134 memory: 11037 grad_norm: 10.2100 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1505 loss: 2.1505 2022/08/08 15:36:16 - mmengine - INFO - Epoch(train) [11][1140/1320] lr: 2.0000e-03 eta: 3:18:17 time: 0.2281 data_time: 0.0153 memory: 11037 grad_norm: 10.2315 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2783 loss: 2.2783 2022/08/08 15:36:20 - mmengine - INFO - Epoch(train) [11][1160/1320] lr: 2.0000e-03 eta: 3:18:12 time: 0.2232 data_time: 0.0125 memory: 11037 grad_norm: 10.5044 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2855 loss: 2.2855 2022/08/08 15:36:25 - mmengine - INFO - Epoch(train) [11][1180/1320] lr: 2.0000e-03 eta: 3:18:06 time: 0.2234 data_time: 0.0130 memory: 11037 grad_norm: 9.9689 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1167 loss: 2.1167 2022/08/08 15:36:29 - mmengine - INFO - Epoch(train) [11][1200/1320] lr: 2.0000e-03 eta: 3:18:01 time: 0.2248 data_time: 0.0135 memory: 11037 grad_norm: 10.1425 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1324 loss: 2.1324 2022/08/08 15:36:34 - mmengine - INFO - Epoch(train) [11][1220/1320] lr: 2.0000e-03 eta: 3:17:56 time: 0.2238 data_time: 0.0135 memory: 11037 grad_norm: 10.2582 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2191 loss: 2.2191 2022/08/08 15:36:38 - mmengine - INFO - Epoch(train) [11][1240/1320] lr: 2.0000e-03 eta: 3:17:52 time: 0.2303 data_time: 0.0139 memory: 11037 grad_norm: 10.4327 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3118 loss: 2.3118 2022/08/08 15:36:43 - mmengine - INFO - Epoch(train) [11][1260/1320] lr: 2.0000e-03 eta: 3:17:48 time: 0.2390 data_time: 0.0291 memory: 11037 grad_norm: 10.6456 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.3578 loss: 2.3578 2022/08/08 15:36:48 - mmengine - INFO - Epoch(train) [11][1280/1320] lr: 2.0000e-03 eta: 3:17:43 time: 0.2304 data_time: 0.0114 memory: 11037 grad_norm: 10.0760 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0118 loss: 2.0118 2022/08/08 15:36:52 - mmengine - INFO - Epoch(train) [11][1300/1320] lr: 2.0000e-03 eta: 3:17:38 time: 0.2243 data_time: 0.0138 memory: 11037 grad_norm: 10.1098 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5660 loss: 2.5660 2022/08/08 15:36:57 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:36:57 - mmengine - INFO - Epoch(train) [11][1320/1320] lr: 2.0000e-03 eta: 3:17:33 time: 0.2242 data_time: 0.0146 memory: 11037 grad_norm: 10.1278 top1_acc: 0.4545 top5_acc: 0.8182 loss_cls: 2.1367 loss: 2.1367 2022/08/08 15:36:57 - mmengine - INFO - Saving checkpoint at 11 epochs 2022/08/08 15:37:02 - mmengine - INFO - Epoch(val) [11][20/194] eta: 0:00:29 time: 0.1711 data_time: 0.0915 memory: 1858 2022/08/08 15:37:04 - mmengine - INFO - Epoch(val) [11][40/194] eta: 0:00:16 time: 0.1084 data_time: 0.0310 memory: 1858 2022/08/08 15:37:07 - mmengine - INFO - Epoch(val) [11][60/194] eta: 0:00:15 time: 0.1168 data_time: 0.0431 memory: 1858 2022/08/08 15:37:09 - mmengine - INFO - Epoch(val) [11][80/194] eta: 0:00:12 time: 0.1096 data_time: 0.0321 memory: 1858 2022/08/08 15:37:11 - mmengine - INFO - Epoch(val) [11][100/194] eta: 0:00:11 time: 0.1243 data_time: 0.0465 memory: 1858 2022/08/08 15:37:14 - mmengine - INFO - Epoch(val) [11][120/194] eta: 0:00:08 time: 0.1170 data_time: 0.0402 memory: 1858 2022/08/08 15:37:16 - mmengine - INFO - Epoch(val) [11][140/194] eta: 0:00:07 time: 0.1325 data_time: 0.0583 memory: 1858 2022/08/08 15:37:18 - mmengine - INFO - Epoch(val) [11][160/194] eta: 0:00:03 time: 0.1010 data_time: 0.0207 memory: 1858 2022/08/08 15:37:20 - mmengine - INFO - Epoch(val) [11][180/194] eta: 0:00:01 time: 0.0849 data_time: 0.0213 memory: 1858 2022/08/08 15:37:22 - mmengine - INFO - Epoch(val) [11][194/194] acc/top1: 0.4032 acc/top5: 0.6916 acc/mean1: 0.3224 2022/08/08 15:37:22 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_11.pth is removed 2022/08/08 15:37:23 - mmengine - INFO - The best checkpoint with 0.4032 acc/top1 at 12 epoch is saved to best_acc/top1_epoch_12.pth. 2022/08/08 15:37:23 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:37:28 - mmengine - INFO - Epoch(train) [12][20/1320] lr: 2.0000e-03 eta: 3:17:30 time: 0.2504 data_time: 0.0368 memory: 11037 grad_norm: 10.1420 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1032 loss: 2.1032 2022/08/08 15:37:33 - mmengine - INFO - Epoch(train) [12][40/1320] lr: 2.0000e-03 eta: 3:17:25 time: 0.2242 data_time: 0.0132 memory: 11037 grad_norm: 9.9817 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3239 loss: 2.3239 2022/08/08 15:37:37 - mmengine - INFO - Epoch(train) [12][60/1320] lr: 2.0000e-03 eta: 3:17:20 time: 0.2304 data_time: 0.0144 memory: 11037 grad_norm: 10.5227 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2990 loss: 2.2990 2022/08/08 15:37:42 - mmengine - INFO - Epoch(train) [12][80/1320] lr: 2.0000e-03 eta: 3:17:16 time: 0.2288 data_time: 0.0133 memory: 11037 grad_norm: 10.5812 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.3173 loss: 2.3173 2022/08/08 15:37:46 - mmengine - INFO - Epoch(train) [12][100/1320] lr: 2.0000e-03 eta: 3:17:11 time: 0.2229 data_time: 0.0131 memory: 11037 grad_norm: 10.2318 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1774 loss: 2.1774 2022/08/08 15:37:51 - mmengine - INFO - Epoch(train) [12][120/1320] lr: 2.0000e-03 eta: 3:17:06 time: 0.2245 data_time: 0.0159 memory: 11037 grad_norm: 10.4825 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.1643 loss: 2.1643 2022/08/08 15:37:55 - mmengine - INFO - Epoch(train) [12][140/1320] lr: 2.0000e-03 eta: 3:17:01 time: 0.2257 data_time: 0.0130 memory: 11037 grad_norm: 10.4774 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0871 loss: 2.0871 2022/08/08 15:38:00 - mmengine - INFO - Epoch(train) [12][160/1320] lr: 2.0000e-03 eta: 3:16:56 time: 0.2244 data_time: 0.0117 memory: 11037 grad_norm: 10.2778 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0827 loss: 2.0827 2022/08/08 15:38:04 - mmengine - INFO - Epoch(train) [12][180/1320] lr: 2.0000e-03 eta: 3:16:51 time: 0.2255 data_time: 0.0142 memory: 11037 grad_norm: 9.8499 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0821 loss: 2.0821 2022/08/08 15:38:09 - mmengine - INFO - Epoch(train) [12][200/1320] lr: 2.0000e-03 eta: 3:16:46 time: 0.2238 data_time: 0.0118 memory: 11037 grad_norm: 10.1442 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1765 loss: 2.1765 2022/08/08 15:38:13 - mmengine - INFO - Epoch(train) [12][220/1320] lr: 2.0000e-03 eta: 3:16:40 time: 0.2231 data_time: 0.0132 memory: 11037 grad_norm: 10.0432 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.3607 loss: 2.3607 2022/08/08 15:38:18 - mmengine - INFO - Epoch(train) [12][240/1320] lr: 2.0000e-03 eta: 3:16:36 time: 0.2336 data_time: 0.0152 memory: 11037 grad_norm: 10.4295 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1598 loss: 2.1598 2022/08/08 15:38:23 - mmengine - INFO - Epoch(train) [12][260/1320] lr: 2.0000e-03 eta: 3:16:31 time: 0.2232 data_time: 0.0131 memory: 11037 grad_norm: 10.0905 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1737 loss: 2.1737 2022/08/08 15:38:27 - mmengine - INFO - Epoch(train) [12][280/1320] lr: 2.0000e-03 eta: 3:16:26 time: 0.2237 data_time: 0.0135 memory: 11037 grad_norm: 10.5365 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1451 loss: 2.1451 2022/08/08 15:38:31 - mmengine - INFO - Epoch(train) [12][300/1320] lr: 2.0000e-03 eta: 3:16:21 time: 0.2231 data_time: 0.0162 memory: 11037 grad_norm: 10.0201 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0922 loss: 2.0922 2022/08/08 15:38:36 - mmengine - INFO - Epoch(train) [12][320/1320] lr: 2.0000e-03 eta: 3:16:16 time: 0.2275 data_time: 0.0122 memory: 11037 grad_norm: 10.5540 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9987 loss: 1.9987 2022/08/08 15:38:41 - mmengine - INFO - Epoch(train) [12][340/1320] lr: 2.0000e-03 eta: 3:16:11 time: 0.2246 data_time: 0.0132 memory: 11037 grad_norm: 10.8016 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3063 loss: 2.3063 2022/08/08 15:38:45 - mmengine - INFO - Epoch(train) [12][360/1320] lr: 2.0000e-03 eta: 3:16:06 time: 0.2237 data_time: 0.0143 memory: 11037 grad_norm: 10.0912 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0776 loss: 2.0776 2022/08/08 15:38:50 - mmengine - INFO - Epoch(train) [12][380/1320] lr: 2.0000e-03 eta: 3:16:01 time: 0.2273 data_time: 0.0136 memory: 11037 grad_norm: 10.1920 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2546 loss: 2.2546 2022/08/08 15:38:54 - mmengine - INFO - Epoch(train) [12][400/1320] lr: 2.0000e-03 eta: 3:15:56 time: 0.2235 data_time: 0.0127 memory: 11037 grad_norm: 9.8650 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2526 loss: 2.2526 2022/08/08 15:38:59 - mmengine - INFO - Epoch(train) [12][420/1320] lr: 2.0000e-03 eta: 3:15:51 time: 0.2263 data_time: 0.0149 memory: 11037 grad_norm: 10.1097 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.1674 loss: 2.1674 2022/08/08 15:39:03 - mmengine - INFO - Epoch(train) [12][440/1320] lr: 2.0000e-03 eta: 3:15:46 time: 0.2237 data_time: 0.0129 memory: 11037 grad_norm: 10.1158 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9497 loss: 1.9497 2022/08/08 15:39:07 - mmengine - INFO - Epoch(train) [12][460/1320] lr: 2.0000e-03 eta: 3:15:41 time: 0.2233 data_time: 0.0132 memory: 11037 grad_norm: 10.3922 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1486 loss: 2.1486 2022/08/08 15:39:12 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:39:12 - mmengine - INFO - Epoch(train) [12][480/1320] lr: 2.0000e-03 eta: 3:15:36 time: 0.2249 data_time: 0.0142 memory: 11037 grad_norm: 10.5971 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2591 loss: 2.2591 2022/08/08 15:39:17 - mmengine - INFO - Epoch(train) [12][500/1320] lr: 2.0000e-03 eta: 3:15:31 time: 0.2275 data_time: 0.0133 memory: 11037 grad_norm: 10.4200 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9395 loss: 1.9395 2022/08/08 15:39:21 - mmengine - INFO - Epoch(train) [12][520/1320] lr: 2.0000e-03 eta: 3:15:26 time: 0.2241 data_time: 0.0153 memory: 11037 grad_norm: 10.3555 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0588 loss: 2.0588 2022/08/08 15:39:26 - mmengine - INFO - Epoch(train) [12][540/1320] lr: 2.0000e-03 eta: 3:15:21 time: 0.2244 data_time: 0.0143 memory: 11037 grad_norm: 10.3200 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0329 loss: 2.0329 2022/08/08 15:39:30 - mmengine - INFO - Epoch(train) [12][560/1320] lr: 2.0000e-03 eta: 3:15:17 time: 0.2297 data_time: 0.0145 memory: 11037 grad_norm: 10.3498 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2483 loss: 2.2483 2022/08/08 15:39:35 - mmengine - INFO - Epoch(train) [12][580/1320] lr: 2.0000e-03 eta: 3:15:12 time: 0.2243 data_time: 0.0138 memory: 11037 grad_norm: 10.0849 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0698 loss: 2.0698 2022/08/08 15:39:39 - mmengine - INFO - Epoch(train) [12][600/1320] lr: 2.0000e-03 eta: 3:15:07 time: 0.2330 data_time: 0.0158 memory: 11037 grad_norm: 10.8215 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0658 loss: 2.0658 2022/08/08 15:39:44 - mmengine - INFO - Epoch(train) [12][620/1320] lr: 2.0000e-03 eta: 3:15:02 time: 0.2230 data_time: 0.0128 memory: 11037 grad_norm: 9.9731 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0811 loss: 2.0811 2022/08/08 15:39:48 - mmengine - INFO - Epoch(train) [12][640/1320] lr: 2.0000e-03 eta: 3:14:58 time: 0.2280 data_time: 0.0130 memory: 11037 grad_norm: 10.3451 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1225 loss: 2.1225 2022/08/08 15:39:53 - mmengine - INFO - Epoch(train) [12][660/1320] lr: 2.0000e-03 eta: 3:14:53 time: 0.2249 data_time: 0.0155 memory: 11037 grad_norm: 10.1697 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1732 loss: 2.1732 2022/08/08 15:39:57 - mmengine - INFO - Epoch(train) [12][680/1320] lr: 2.0000e-03 eta: 3:14:48 time: 0.2254 data_time: 0.0129 memory: 11037 grad_norm: 10.3425 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1492 loss: 2.1492 2022/08/08 15:40:02 - mmengine - INFO - Epoch(train) [12][700/1320] lr: 2.0000e-03 eta: 3:14:43 time: 0.2244 data_time: 0.0133 memory: 11037 grad_norm: 10.2244 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.1173 loss: 2.1173 2022/08/08 15:40:06 - mmengine - INFO - Epoch(train) [12][720/1320] lr: 2.0000e-03 eta: 3:14:38 time: 0.2246 data_time: 0.0136 memory: 11037 grad_norm: 10.4714 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.2967 loss: 2.2967 2022/08/08 15:40:11 - mmengine - INFO - Epoch(train) [12][740/1320] lr: 2.0000e-03 eta: 3:14:33 time: 0.2231 data_time: 0.0126 memory: 11037 grad_norm: 10.4118 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1201 loss: 2.1201 2022/08/08 15:40:15 - mmengine - INFO - Epoch(train) [12][760/1320] lr: 2.0000e-03 eta: 3:14:28 time: 0.2208 data_time: 0.0137 memory: 11037 grad_norm: 10.2278 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0296 loss: 2.0296 2022/08/08 15:40:20 - mmengine - INFO - Epoch(train) [12][780/1320] lr: 2.0000e-03 eta: 3:14:23 time: 0.2350 data_time: 0.0153 memory: 11037 grad_norm: 10.3457 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2419 loss: 2.2419 2022/08/08 15:40:24 - mmengine - INFO - Epoch(train) [12][800/1320] lr: 2.0000e-03 eta: 3:14:18 time: 0.2238 data_time: 0.0139 memory: 11037 grad_norm: 9.9090 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1587 loss: 2.1587 2022/08/08 15:40:29 - mmengine - INFO - Epoch(train) [12][820/1320] lr: 2.0000e-03 eta: 3:14:13 time: 0.2225 data_time: 0.0123 memory: 11037 grad_norm: 10.1948 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2434 loss: 2.2434 2022/08/08 15:40:33 - mmengine - INFO - Epoch(train) [12][840/1320] lr: 2.0000e-03 eta: 3:14:08 time: 0.2248 data_time: 0.0144 memory: 11037 grad_norm: 9.8765 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2705 loss: 2.2705 2022/08/08 15:40:38 - mmengine - INFO - Epoch(train) [12][860/1320] lr: 2.0000e-03 eta: 3:14:03 time: 0.2253 data_time: 0.0128 memory: 11037 grad_norm: 10.2161 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0023 loss: 2.0023 2022/08/08 15:40:42 - mmengine - INFO - Epoch(train) [12][880/1320] lr: 2.0000e-03 eta: 3:13:58 time: 0.2225 data_time: 0.0128 memory: 11037 grad_norm: 10.1053 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1552 loss: 2.1552 2022/08/08 15:40:47 - mmengine - INFO - Epoch(train) [12][900/1320] lr: 2.0000e-03 eta: 3:13:53 time: 0.2244 data_time: 0.0152 memory: 11037 grad_norm: 10.0815 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0592 loss: 2.0592 2022/08/08 15:40:51 - mmengine - INFO - Epoch(train) [12][920/1320] lr: 2.0000e-03 eta: 3:13:48 time: 0.2238 data_time: 0.0128 memory: 11037 grad_norm: 10.3179 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2058 loss: 2.2058 2022/08/08 15:40:56 - mmengine - INFO - Epoch(train) [12][940/1320] lr: 2.0000e-03 eta: 3:13:43 time: 0.2260 data_time: 0.0136 memory: 11037 grad_norm: 10.1183 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1932 loss: 2.1932 2022/08/08 15:41:00 - mmengine - INFO - Epoch(train) [12][960/1320] lr: 2.0000e-03 eta: 3:13:39 time: 0.2265 data_time: 0.0155 memory: 11037 grad_norm: 10.3342 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.3019 loss: 2.3019 2022/08/08 15:41:05 - mmengine - INFO - Epoch(train) [12][980/1320] lr: 2.0000e-03 eta: 3:13:33 time: 0.2232 data_time: 0.0120 memory: 11037 grad_norm: 10.2030 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2400 loss: 2.2400 2022/08/08 15:41:09 - mmengine - INFO - Epoch(train) [12][1000/1320] lr: 2.0000e-03 eta: 3:13:28 time: 0.2234 data_time: 0.0137 memory: 11037 grad_norm: 10.1592 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1553 loss: 2.1553 2022/08/08 15:41:14 - mmengine - INFO - Epoch(train) [12][1020/1320] lr: 2.0000e-03 eta: 3:13:23 time: 0.2247 data_time: 0.0153 memory: 11037 grad_norm: 10.0718 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.2441 loss: 2.2441 2022/08/08 15:41:18 - mmengine - INFO - Epoch(train) [12][1040/1320] lr: 2.0000e-03 eta: 3:13:19 time: 0.2365 data_time: 0.0153 memory: 11037 grad_norm: 9.8126 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9955 loss: 1.9955 2022/08/08 15:41:23 - mmengine - INFO - Epoch(train) [12][1060/1320] lr: 2.0000e-03 eta: 3:13:14 time: 0.2223 data_time: 0.0141 memory: 11037 grad_norm: 10.4260 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8734 loss: 1.8734 2022/08/08 15:41:27 - mmengine - INFO - Epoch(train) [12][1080/1320] lr: 2.0000e-03 eta: 3:13:09 time: 0.2249 data_time: 0.0155 memory: 11037 grad_norm: 10.1680 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0934 loss: 2.0934 2022/08/08 15:41:32 - mmengine - INFO - Epoch(train) [12][1100/1320] lr: 2.0000e-03 eta: 3:13:04 time: 0.2239 data_time: 0.0146 memory: 11037 grad_norm: 10.1505 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9731 loss: 1.9731 2022/08/08 15:41:36 - mmengine - INFO - Epoch(train) [12][1120/1320] lr: 2.0000e-03 eta: 3:13:00 time: 0.2307 data_time: 0.0142 memory: 11037 grad_norm: 10.2571 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2576 loss: 2.2576 2022/08/08 15:41:41 - mmengine - INFO - Epoch(train) [12][1140/1320] lr: 2.0000e-03 eta: 3:12:55 time: 0.2256 data_time: 0.0152 memory: 11037 grad_norm: 10.0594 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0894 loss: 2.0894 2022/08/08 15:41:45 - mmengine - INFO - Epoch(train) [12][1160/1320] lr: 2.0000e-03 eta: 3:12:50 time: 0.2237 data_time: 0.0124 memory: 11037 grad_norm: 10.4262 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0355 loss: 2.0355 2022/08/08 15:41:50 - mmengine - INFO - Epoch(train) [12][1180/1320] lr: 2.0000e-03 eta: 3:12:45 time: 0.2268 data_time: 0.0132 memory: 11037 grad_norm: 10.3795 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0973 loss: 2.0973 2022/08/08 15:41:54 - mmengine - INFO - Epoch(train) [12][1200/1320] lr: 2.0000e-03 eta: 3:12:40 time: 0.2234 data_time: 0.0136 memory: 11037 grad_norm: 10.2541 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1336 loss: 2.1336 2022/08/08 15:41:59 - mmengine - INFO - Epoch(train) [12][1220/1320] lr: 2.0000e-03 eta: 3:12:35 time: 0.2242 data_time: 0.0148 memory: 11037 grad_norm: 10.1807 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3863 loss: 2.3863 2022/08/08 15:42:03 - mmengine - INFO - Epoch(train) [12][1240/1320] lr: 2.0000e-03 eta: 3:12:30 time: 0.2233 data_time: 0.0136 memory: 11037 grad_norm: 10.3014 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1099 loss: 2.1099 2022/08/08 15:42:08 - mmengine - INFO - Epoch(train) [12][1260/1320] lr: 2.0000e-03 eta: 3:12:25 time: 0.2246 data_time: 0.0139 memory: 11037 grad_norm: 10.1653 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0271 loss: 2.0271 2022/08/08 15:42:12 - mmengine - INFO - Epoch(train) [12][1280/1320] lr: 2.0000e-03 eta: 3:12:20 time: 0.2247 data_time: 0.0126 memory: 11037 grad_norm: 10.0878 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0336 loss: 2.0336 2022/08/08 15:42:17 - mmengine - INFO - Epoch(train) [12][1300/1320] lr: 2.0000e-03 eta: 3:12:15 time: 0.2250 data_time: 0.0133 memory: 11037 grad_norm: 10.2394 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1499 loss: 2.1499 2022/08/08 15:42:21 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:42:21 - mmengine - INFO - Epoch(train) [12][1320/1320] lr: 2.0000e-03 eta: 3:12:10 time: 0.2156 data_time: 0.0162 memory: 11037 grad_norm: 9.9098 top1_acc: 0.2727 top5_acc: 0.4545 loss_cls: 2.1749 loss: 2.1749 2022/08/08 15:42:21 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/08/08 15:42:27 - mmengine - INFO - Epoch(val) [12][20/194] eta: 0:00:29 time: 0.1694 data_time: 0.0897 memory: 1858 2022/08/08 15:42:29 - mmengine - INFO - Epoch(val) [12][40/194] eta: 0:00:16 time: 0.1079 data_time: 0.0335 memory: 1858 2022/08/08 15:42:31 - mmengine - INFO - Epoch(val) [12][60/194] eta: 0:00:15 time: 0.1167 data_time: 0.0359 memory: 1858 2022/08/08 15:42:34 - mmengine - INFO - Epoch(val) [12][80/194] eta: 0:00:12 time: 0.1079 data_time: 0.0320 memory: 1858 2022/08/08 15:42:36 - mmengine - INFO - Epoch(val) [12][100/194] eta: 0:00:11 time: 0.1226 data_time: 0.0434 memory: 1858 2022/08/08 15:42:38 - mmengine - INFO - Epoch(val) [12][120/194] eta: 0:00:07 time: 0.1077 data_time: 0.0296 memory: 1858 2022/08/08 15:42:40 - mmengine - INFO - Epoch(val) [12][140/194] eta: 0:00:06 time: 0.1128 data_time: 0.0346 memory: 1858 2022/08/08 15:42:42 - mmengine - INFO - Epoch(val) [12][160/194] eta: 0:00:03 time: 0.0999 data_time: 0.0209 memory: 1858 2022/08/08 15:42:44 - mmengine - INFO - Epoch(val) [12][180/194] eta: 0:00:01 time: 0.0820 data_time: 0.0223 memory: 1858 2022/08/08 15:42:46 - mmengine - INFO - Epoch(val) [12][194/194] acc/top1: 0.4141 acc/top5: 0.7055 acc/mean1: 0.3389 2022/08/08 15:42:46 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_12.pth is removed 2022/08/08 15:42:48 - mmengine - INFO - The best checkpoint with 0.4141 acc/top1 at 13 epoch is saved to best_acc/top1_epoch_13.pth. 2022/08/08 15:42:48 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:42:52 - mmengine - INFO - Epoch(train) [13][20/1320] lr: 2.0000e-03 eta: 3:12:06 time: 0.2470 data_time: 0.0390 memory: 11037 grad_norm: 10.4893 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0326 loss: 2.0326 2022/08/08 15:42:57 - mmengine - INFO - Epoch(train) [13][40/1320] lr: 2.0000e-03 eta: 3:12:01 time: 0.2233 data_time: 0.0122 memory: 11037 grad_norm: 10.4929 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0988 loss: 2.0988 2022/08/08 15:43:01 - mmengine - INFO - Epoch(train) [13][60/1320] lr: 2.0000e-03 eta: 3:11:56 time: 0.2245 data_time: 0.0150 memory: 11037 grad_norm: 10.1515 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1001 loss: 2.1001 2022/08/08 15:43:06 - mmengine - INFO - Epoch(train) [13][80/1320] lr: 2.0000e-03 eta: 3:11:52 time: 0.2268 data_time: 0.0127 memory: 11037 grad_norm: 10.6891 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1794 loss: 2.1794 2022/08/08 15:43:10 - mmengine - INFO - Epoch(train) [13][100/1320] lr: 2.0000e-03 eta: 3:11:47 time: 0.2250 data_time: 0.0119 memory: 11037 grad_norm: 10.1240 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3043 loss: 2.3043 2022/08/08 15:43:15 - mmengine - INFO - Epoch(train) [13][120/1320] lr: 2.0000e-03 eta: 3:11:42 time: 0.2248 data_time: 0.0152 memory: 11037 grad_norm: 10.3569 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2175 loss: 2.2175 2022/08/08 15:43:19 - mmengine - INFO - Epoch(train) [13][140/1320] lr: 2.0000e-03 eta: 3:11:37 time: 0.2242 data_time: 0.0145 memory: 11037 grad_norm: 10.3044 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9899 loss: 1.9899 2022/08/08 15:43:24 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:43:24 - mmengine - INFO - Epoch(train) [13][160/1320] lr: 2.0000e-03 eta: 3:11:32 time: 0.2230 data_time: 0.0127 memory: 11037 grad_norm: 10.4024 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0594 loss: 2.0594 2022/08/08 15:43:29 - mmengine - INFO - Epoch(train) [13][180/1320] lr: 2.0000e-03 eta: 3:11:27 time: 0.2296 data_time: 0.0159 memory: 11037 grad_norm: 10.4677 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1475 loss: 2.1475 2022/08/08 15:43:33 - mmengine - INFO - Epoch(train) [13][200/1320] lr: 2.0000e-03 eta: 3:11:22 time: 0.2249 data_time: 0.0138 memory: 11037 grad_norm: 10.2219 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0552 loss: 2.0552 2022/08/08 15:43:37 - mmengine - INFO - Epoch(train) [13][220/1320] lr: 2.0000e-03 eta: 3:11:17 time: 0.2236 data_time: 0.0133 memory: 11037 grad_norm: 10.3401 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1995 loss: 2.1995 2022/08/08 15:43:42 - mmengine - INFO - Epoch(train) [13][240/1320] lr: 2.0000e-03 eta: 3:11:12 time: 0.2240 data_time: 0.0148 memory: 11037 grad_norm: 10.3908 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2705 loss: 2.2705 2022/08/08 15:43:47 - mmengine - INFO - Epoch(train) [13][260/1320] lr: 2.0000e-03 eta: 3:11:08 time: 0.2288 data_time: 0.0122 memory: 11037 grad_norm: 10.0834 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1232 loss: 2.1232 2022/08/08 15:43:51 - mmengine - INFO - Epoch(train) [13][280/1320] lr: 2.0000e-03 eta: 3:11:03 time: 0.2234 data_time: 0.0136 memory: 11037 grad_norm: 10.0897 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1122 loss: 2.1122 2022/08/08 15:43:56 - mmengine - INFO - Epoch(train) [13][300/1320] lr: 2.0000e-03 eta: 3:10:58 time: 0.2245 data_time: 0.0139 memory: 11037 grad_norm: 10.1350 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.0813 loss: 2.0813 2022/08/08 15:44:00 - mmengine - INFO - Epoch(train) [13][320/1320] lr: 2.0000e-03 eta: 3:10:53 time: 0.2311 data_time: 0.0140 memory: 11037 grad_norm: 10.0025 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.2542 loss: 2.2542 2022/08/08 15:44:05 - mmengine - INFO - Epoch(train) [13][340/1320] lr: 2.0000e-03 eta: 3:10:48 time: 0.2241 data_time: 0.0143 memory: 11037 grad_norm: 10.1299 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9108 loss: 1.9108 2022/08/08 15:44:09 - mmengine - INFO - Epoch(train) [13][360/1320] lr: 2.0000e-03 eta: 3:10:43 time: 0.2266 data_time: 0.0140 memory: 11037 grad_norm: 10.1643 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1345 loss: 2.1345 2022/08/08 15:44:14 - mmengine - INFO - Epoch(train) [13][380/1320] lr: 2.0000e-03 eta: 3:10:38 time: 0.2230 data_time: 0.0135 memory: 11037 grad_norm: 10.6063 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0527 loss: 2.0527 2022/08/08 15:44:18 - mmengine - INFO - Epoch(train) [13][400/1320] lr: 2.0000e-03 eta: 3:10:34 time: 0.2270 data_time: 0.0136 memory: 11037 grad_norm: 9.9354 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1346 loss: 2.1346 2022/08/08 15:44:23 - mmengine - INFO - Epoch(train) [13][420/1320] lr: 2.0000e-03 eta: 3:10:29 time: 0.2248 data_time: 0.0144 memory: 11037 grad_norm: 10.2880 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0985 loss: 2.0985 2022/08/08 15:44:27 - mmengine - INFO - Epoch(train) [13][440/1320] lr: 2.0000e-03 eta: 3:10:24 time: 0.2223 data_time: 0.0125 memory: 11037 grad_norm: 10.4028 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0756 loss: 2.0756 2022/08/08 15:44:32 - mmengine - INFO - Epoch(train) [13][460/1320] lr: 2.0000e-03 eta: 3:10:19 time: 0.2250 data_time: 0.0135 memory: 11037 grad_norm: 10.0840 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0732 loss: 2.0732 2022/08/08 15:44:36 - mmengine - INFO - Epoch(train) [13][480/1320] lr: 2.0000e-03 eta: 3:10:14 time: 0.2246 data_time: 0.0138 memory: 11037 grad_norm: 10.1927 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.2616 loss: 2.2616 2022/08/08 15:44:41 - mmengine - INFO - Epoch(train) [13][500/1320] lr: 2.0000e-03 eta: 3:10:09 time: 0.2244 data_time: 0.0132 memory: 11037 grad_norm: 10.2723 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9928 loss: 1.9928 2022/08/08 15:44:45 - mmengine - INFO - Epoch(train) [13][520/1320] lr: 2.0000e-03 eta: 3:10:04 time: 0.2231 data_time: 0.0145 memory: 11037 grad_norm: 10.6152 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0980 loss: 2.0980 2022/08/08 15:44:50 - mmengine - INFO - Epoch(train) [13][540/1320] lr: 2.0000e-03 eta: 3:09:59 time: 0.2248 data_time: 0.0145 memory: 11037 grad_norm: 10.4518 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0455 loss: 2.0455 2022/08/08 15:44:54 - mmengine - INFO - Epoch(train) [13][560/1320] lr: 2.0000e-03 eta: 3:09:54 time: 0.2249 data_time: 0.0131 memory: 11037 grad_norm: 10.0117 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1638 loss: 2.1638 2022/08/08 15:44:59 - mmengine - INFO - Epoch(train) [13][580/1320] lr: 2.0000e-03 eta: 3:09:50 time: 0.2274 data_time: 0.0129 memory: 11037 grad_norm: 10.8570 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0860 loss: 2.0860 2022/08/08 15:45:03 - mmengine - INFO - Epoch(train) [13][600/1320] lr: 2.0000e-03 eta: 3:09:45 time: 0.2235 data_time: 0.0147 memory: 11037 grad_norm: 9.8382 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.2969 loss: 2.2969 2022/08/08 15:45:08 - mmengine - INFO - Epoch(train) [13][620/1320] lr: 2.0000e-03 eta: 3:09:40 time: 0.2256 data_time: 0.0124 memory: 11037 grad_norm: 10.3854 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.9611 loss: 1.9611 2022/08/08 15:45:12 - mmengine - INFO - Epoch(train) [13][640/1320] lr: 2.0000e-03 eta: 3:09:35 time: 0.2235 data_time: 0.0132 memory: 11037 grad_norm: 10.0333 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0409 loss: 2.0409 2022/08/08 15:45:17 - mmengine - INFO - Epoch(train) [13][660/1320] lr: 2.0000e-03 eta: 3:09:30 time: 0.2298 data_time: 0.0138 memory: 11037 grad_norm: 10.3656 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9915 loss: 1.9915 2022/08/08 15:45:21 - mmengine - INFO - Epoch(train) [13][680/1320] lr: 2.0000e-03 eta: 3:09:25 time: 0.2242 data_time: 0.0127 memory: 11037 grad_norm: 10.1039 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0678 loss: 2.0678 2022/08/08 15:45:26 - mmengine - INFO - Epoch(train) [13][700/1320] lr: 2.0000e-03 eta: 3:09:20 time: 0.2231 data_time: 0.0137 memory: 11037 grad_norm: 9.9664 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0490 loss: 2.0490 2022/08/08 15:45:30 - mmengine - INFO - Epoch(train) [13][720/1320] lr: 2.0000e-03 eta: 3:09:16 time: 0.2274 data_time: 0.0152 memory: 11037 grad_norm: 10.1497 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2897 loss: 2.2897 2022/08/08 15:45:35 - mmengine - INFO - Epoch(train) [13][740/1320] lr: 2.0000e-03 eta: 3:09:11 time: 0.2238 data_time: 0.0126 memory: 11037 grad_norm: 10.3184 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0994 loss: 2.0994 2022/08/08 15:45:39 - mmengine - INFO - Epoch(train) [13][760/1320] lr: 2.0000e-03 eta: 3:09:06 time: 0.2236 data_time: 0.0138 memory: 11037 grad_norm: 10.5168 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0614 loss: 2.0614 2022/08/08 15:45:44 - mmengine - INFO - Epoch(train) [13][780/1320] lr: 2.0000e-03 eta: 3:09:01 time: 0.2251 data_time: 0.0156 memory: 11037 grad_norm: 10.2732 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9634 loss: 1.9634 2022/08/08 15:45:48 - mmengine - INFO - Epoch(train) [13][800/1320] lr: 2.0000e-03 eta: 3:08:56 time: 0.2268 data_time: 0.0119 memory: 11037 grad_norm: 10.5192 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0471 loss: 2.0471 2022/08/08 15:45:53 - mmengine - INFO - Epoch(train) [13][820/1320] lr: 2.0000e-03 eta: 3:08:51 time: 0.2236 data_time: 0.0132 memory: 11037 grad_norm: 10.2918 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.1196 loss: 2.1196 2022/08/08 15:45:57 - mmengine - INFO - Epoch(train) [13][840/1320] lr: 2.0000e-03 eta: 3:08:46 time: 0.2245 data_time: 0.0146 memory: 11037 grad_norm: 10.2198 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9608 loss: 1.9608 2022/08/08 15:46:02 - mmengine - INFO - Epoch(train) [13][860/1320] lr: 2.0000e-03 eta: 3:08:41 time: 0.2248 data_time: 0.0141 memory: 11037 grad_norm: 10.3517 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2042 loss: 2.2042 2022/08/08 15:46:06 - mmengine - INFO - Epoch(train) [13][880/1320] lr: 2.0000e-03 eta: 3:08:36 time: 0.2231 data_time: 0.0150 memory: 11037 grad_norm: 10.2738 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2139 loss: 2.2139 2022/08/08 15:46:11 - mmengine - INFO - Epoch(train) [13][900/1320] lr: 2.0000e-03 eta: 3:08:31 time: 0.2256 data_time: 0.0157 memory: 11037 grad_norm: 10.2351 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0522 loss: 2.0522 2022/08/08 15:46:15 - mmengine - INFO - Epoch(train) [13][920/1320] lr: 2.0000e-03 eta: 3:08:26 time: 0.2226 data_time: 0.0137 memory: 11037 grad_norm: 10.2941 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1350 loss: 2.1350 2022/08/08 15:46:20 - mmengine - INFO - Epoch(train) [13][940/1320] lr: 2.0000e-03 eta: 3:08:22 time: 0.2243 data_time: 0.0138 memory: 11037 grad_norm: 10.3175 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1918 loss: 2.1918 2022/08/08 15:46:24 - mmengine - INFO - Epoch(train) [13][960/1320] lr: 2.0000e-03 eta: 3:08:17 time: 0.2299 data_time: 0.0163 memory: 11037 grad_norm: 10.5508 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0804 loss: 2.0804 2022/08/08 15:46:29 - mmengine - INFO - Epoch(train) [13][980/1320] lr: 2.0000e-03 eta: 3:08:12 time: 0.2232 data_time: 0.0142 memory: 11037 grad_norm: 10.0818 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0922 loss: 2.0922 2022/08/08 15:46:33 - mmengine - INFO - Epoch(train) [13][1000/1320] lr: 2.0000e-03 eta: 3:08:07 time: 0.2239 data_time: 0.0147 memory: 11037 grad_norm: 10.2900 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0439 loss: 2.0439 2022/08/08 15:46:38 - mmengine - INFO - Epoch(train) [13][1020/1320] lr: 2.0000e-03 eta: 3:08:02 time: 0.2276 data_time: 0.0161 memory: 11037 grad_norm: 10.2371 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1441 loss: 2.1441 2022/08/08 15:46:42 - mmengine - INFO - Epoch(train) [13][1040/1320] lr: 2.0000e-03 eta: 3:07:57 time: 0.2232 data_time: 0.0115 memory: 11037 grad_norm: 10.1223 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2403 loss: 2.2403 2022/08/08 15:46:47 - mmengine - INFO - Epoch(train) [13][1060/1320] lr: 2.0000e-03 eta: 3:07:52 time: 0.2221 data_time: 0.0131 memory: 11037 grad_norm: 10.2897 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1939 loss: 2.1939 2022/08/08 15:46:51 - mmengine - INFO - Epoch(train) [13][1080/1320] lr: 2.0000e-03 eta: 3:07:48 time: 0.2261 data_time: 0.0153 memory: 11037 grad_norm: 10.4840 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1876 loss: 2.1876 2022/08/08 15:46:56 - mmengine - INFO - Epoch(train) [13][1100/1320] lr: 2.0000e-03 eta: 3:07:43 time: 0.2235 data_time: 0.0126 memory: 11037 grad_norm: 10.2098 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0992 loss: 2.0992 2022/08/08 15:47:00 - mmengine - INFO - Epoch(train) [13][1120/1320] lr: 2.0000e-03 eta: 3:07:38 time: 0.2272 data_time: 0.0146 memory: 11037 grad_norm: 10.0572 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0299 loss: 2.0299 2022/08/08 15:47:05 - mmengine - INFO - Epoch(train) [13][1140/1320] lr: 2.0000e-03 eta: 3:07:33 time: 0.2236 data_time: 0.0133 memory: 11037 grad_norm: 9.9897 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2795 loss: 2.2795 2022/08/08 15:47:09 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:47:09 - mmengine - INFO - Epoch(train) [13][1160/1320] lr: 2.0000e-03 eta: 3:07:28 time: 0.2236 data_time: 0.0130 memory: 11037 grad_norm: 10.1905 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0720 loss: 2.0720 2022/08/08 15:47:13 - mmengine - INFO - Epoch(train) [13][1180/1320] lr: 2.0000e-03 eta: 3:07:23 time: 0.2233 data_time: 0.0134 memory: 11037 grad_norm: 10.2863 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0641 loss: 2.0641 2022/08/08 15:47:18 - mmengine - INFO - Epoch(train) [13][1200/1320] lr: 2.0000e-03 eta: 3:07:18 time: 0.2269 data_time: 0.0148 memory: 11037 grad_norm: 10.1137 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1159 loss: 2.1159 2022/08/08 15:47:22 - mmengine - INFO - Epoch(train) [13][1220/1320] lr: 2.0000e-03 eta: 3:07:13 time: 0.2235 data_time: 0.0134 memory: 11037 grad_norm: 10.3859 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0928 loss: 2.0928 2022/08/08 15:47:27 - mmengine - INFO - Epoch(train) [13][1240/1320] lr: 2.0000e-03 eta: 3:07:08 time: 0.2230 data_time: 0.0131 memory: 11037 grad_norm: 10.4862 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0191 loss: 2.0191 2022/08/08 15:47:31 - mmengine - INFO - Epoch(train) [13][1260/1320] lr: 2.0000e-03 eta: 3:07:04 time: 0.2243 data_time: 0.0140 memory: 11037 grad_norm: 9.7106 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2545 loss: 2.2545 2022/08/08 15:47:36 - mmengine - INFO - Epoch(train) [13][1280/1320] lr: 2.0000e-03 eta: 3:06:59 time: 0.2224 data_time: 0.0114 memory: 11037 grad_norm: 10.5513 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0341 loss: 2.0341 2022/08/08 15:47:40 - mmengine - INFO - Epoch(train) [13][1300/1320] lr: 2.0000e-03 eta: 3:06:54 time: 0.2271 data_time: 0.0145 memory: 11037 grad_norm: 10.3979 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0753 loss: 2.0753 2022/08/08 15:47:45 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:47:45 - mmengine - INFO - Epoch(train) [13][1320/1320] lr: 2.0000e-03 eta: 3:06:48 time: 0.2168 data_time: 0.0146 memory: 11037 grad_norm: 10.2528 top1_acc: 0.3636 top5_acc: 0.4545 loss_cls: 2.2827 loss: 2.2827 2022/08/08 15:47:45 - mmengine - INFO - Saving checkpoint at 13 epochs 2022/08/08 15:47:50 - mmengine - INFO - Epoch(val) [13][20/194] eta: 0:00:29 time: 0.1714 data_time: 0.0923 memory: 1858 2022/08/08 15:47:53 - mmengine - INFO - Epoch(val) [13][40/194] eta: 0:00:17 time: 0.1147 data_time: 0.0360 memory: 1858 2022/08/08 15:47:55 - mmengine - INFO - Epoch(val) [13][60/194] eta: 0:00:15 time: 0.1144 data_time: 0.0392 memory: 1858 2022/08/08 15:47:57 - mmengine - INFO - Epoch(val) [13][80/194] eta: 0:00:12 time: 0.1106 data_time: 0.0322 memory: 1858 2022/08/08 15:48:00 - mmengine - INFO - Epoch(val) [13][100/194] eta: 0:00:11 time: 0.1191 data_time: 0.0404 memory: 1858 2022/08/08 15:48:02 - mmengine - INFO - Epoch(val) [13][120/194] eta: 0:00:07 time: 0.1055 data_time: 0.0290 memory: 1858 2022/08/08 15:48:04 - mmengine - INFO - Epoch(val) [13][140/194] eta: 0:00:06 time: 0.1156 data_time: 0.0383 memory: 1858 2022/08/08 15:48:06 - mmengine - INFO - Epoch(val) [13][160/194] eta: 0:00:03 time: 0.1027 data_time: 0.0223 memory: 1858 2022/08/08 15:48:08 - mmengine - INFO - Epoch(val) [13][180/194] eta: 0:00:01 time: 0.0818 data_time: 0.0224 memory: 1858 2022/08/08 15:48:09 - mmengine - INFO - Epoch(val) [13][194/194] acc/top1: 0.4088 acc/top5: 0.6978 acc/mean1: 0.3383 2022/08/08 15:48:09 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:48:15 - mmengine - INFO - Epoch(train) [14][20/1320] lr: 2.0000e-03 eta: 3:06:46 time: 0.2615 data_time: 0.0454 memory: 11037 grad_norm: 10.2028 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7684 loss: 1.7684 2022/08/08 15:48:19 - mmengine - INFO - Epoch(train) [14][40/1320] lr: 2.0000e-03 eta: 3:06:41 time: 0.2241 data_time: 0.0141 memory: 11037 grad_norm: 10.4303 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8662 loss: 1.8662 2022/08/08 15:48:24 - mmengine - INFO - Epoch(train) [14][60/1320] lr: 2.0000e-03 eta: 3:06:36 time: 0.2240 data_time: 0.0135 memory: 11037 grad_norm: 10.2425 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9834 loss: 1.9834 2022/08/08 15:48:28 - mmengine - INFO - Epoch(train) [14][80/1320] lr: 2.0000e-03 eta: 3:06:31 time: 0.2261 data_time: 0.0147 memory: 11037 grad_norm: 10.3806 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0351 loss: 2.0351 2022/08/08 15:48:33 - mmengine - INFO - Epoch(train) [14][100/1320] lr: 2.0000e-03 eta: 3:06:26 time: 0.2218 data_time: 0.0122 memory: 11037 grad_norm: 10.4928 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1367 loss: 2.1367 2022/08/08 15:48:37 - mmengine - INFO - Epoch(train) [14][120/1320] lr: 2.0000e-03 eta: 3:06:21 time: 0.2245 data_time: 0.0131 memory: 11037 grad_norm: 10.4755 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3025 loss: 2.3025 2022/08/08 15:48:42 - mmengine - INFO - Epoch(train) [14][140/1320] lr: 2.0000e-03 eta: 3:06:16 time: 0.2248 data_time: 0.0151 memory: 11037 grad_norm: 10.6081 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.1561 loss: 2.1561 2022/08/08 15:48:46 - mmengine - INFO - Epoch(train) [14][160/1320] lr: 2.0000e-03 eta: 3:06:11 time: 0.2229 data_time: 0.0128 memory: 11037 grad_norm: 10.2885 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0782 loss: 2.0782 2022/08/08 15:48:51 - mmengine - INFO - Epoch(train) [14][180/1320] lr: 2.0000e-03 eta: 3:06:07 time: 0.2267 data_time: 0.0148 memory: 11037 grad_norm: 10.1164 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0084 loss: 2.0084 2022/08/08 15:48:55 - mmengine - INFO - Epoch(train) [14][200/1320] lr: 2.0000e-03 eta: 3:06:02 time: 0.2243 data_time: 0.0135 memory: 11037 grad_norm: 10.6379 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2720 loss: 2.2720 2022/08/08 15:49:00 - mmengine - INFO - Epoch(train) [14][220/1320] lr: 2.0000e-03 eta: 3:05:57 time: 0.2285 data_time: 0.0121 memory: 11037 grad_norm: 10.3570 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1174 loss: 2.1174 2022/08/08 15:49:04 - mmengine - INFO - Epoch(train) [14][240/1320] lr: 2.0000e-03 eta: 3:05:52 time: 0.2242 data_time: 0.0131 memory: 11037 grad_norm: 10.3757 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9732 loss: 1.9732 2022/08/08 15:49:09 - mmengine - INFO - Epoch(train) [14][260/1320] lr: 2.0000e-03 eta: 3:05:47 time: 0.2264 data_time: 0.0151 memory: 11037 grad_norm: 10.5441 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8901 loss: 1.8901 2022/08/08 15:49:13 - mmengine - INFO - Epoch(train) [14][280/1320] lr: 2.0000e-03 eta: 3:05:42 time: 0.2225 data_time: 0.0128 memory: 11037 grad_norm: 10.0371 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1808 loss: 2.1808 2022/08/08 15:49:18 - mmengine - INFO - Epoch(train) [14][300/1320] lr: 2.0000e-03 eta: 3:05:38 time: 0.2248 data_time: 0.0134 memory: 11037 grad_norm: 10.1471 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2922 loss: 2.2922 2022/08/08 15:49:22 - mmengine - INFO - Epoch(train) [14][320/1320] lr: 2.0000e-03 eta: 3:05:33 time: 0.2258 data_time: 0.0152 memory: 11037 grad_norm: 10.0945 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0759 loss: 2.0759 2022/08/08 15:49:27 - mmengine - INFO - Epoch(train) [14][340/1320] lr: 2.0000e-03 eta: 3:05:28 time: 0.2249 data_time: 0.0122 memory: 11037 grad_norm: 10.3536 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.2148 loss: 2.2148 2022/08/08 15:49:31 - mmengine - INFO - Epoch(train) [14][360/1320] lr: 2.0000e-03 eta: 3:05:23 time: 0.2237 data_time: 0.0147 memory: 11037 grad_norm: 10.4373 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8927 loss: 1.8927 2022/08/08 15:49:36 - mmengine - INFO - Epoch(train) [14][380/1320] lr: 2.0000e-03 eta: 3:05:18 time: 0.2228 data_time: 0.0131 memory: 11037 grad_norm: 9.9066 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9720 loss: 1.9720 2022/08/08 15:49:40 - mmengine - INFO - Epoch(train) [14][400/1320] lr: 2.0000e-03 eta: 3:05:13 time: 0.2276 data_time: 0.0135 memory: 11037 grad_norm: 10.5772 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2284 loss: 2.2284 2022/08/08 15:49:45 - mmengine - INFO - Epoch(train) [14][420/1320] lr: 2.0000e-03 eta: 3:05:09 time: 0.2235 data_time: 0.0141 memory: 11037 grad_norm: 10.1851 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0204 loss: 2.0204 2022/08/08 15:49:49 - mmengine - INFO - Epoch(train) [14][440/1320] lr: 2.0000e-03 eta: 3:05:04 time: 0.2246 data_time: 0.0144 memory: 11037 grad_norm: 10.2329 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9821 loss: 1.9821 2022/08/08 15:49:54 - mmengine - INFO - Epoch(train) [14][460/1320] lr: 2.0000e-03 eta: 3:04:59 time: 0.2246 data_time: 0.0145 memory: 11037 grad_norm: 10.5854 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8073 loss: 1.8073 2022/08/08 15:49:58 - mmengine - INFO - Epoch(train) [14][480/1320] lr: 2.0000e-03 eta: 3:04:54 time: 0.2249 data_time: 0.0137 memory: 11037 grad_norm: 10.2932 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9767 loss: 1.9767 2022/08/08 15:50:03 - mmengine - INFO - Epoch(train) [14][500/1320] lr: 2.0000e-03 eta: 3:04:49 time: 0.2248 data_time: 0.0144 memory: 11037 grad_norm: 9.9394 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.9499 loss: 1.9499 2022/08/08 15:50:07 - mmengine - INFO - Epoch(train) [14][520/1320] lr: 2.0000e-03 eta: 3:04:44 time: 0.2239 data_time: 0.0119 memory: 11037 grad_norm: 10.5166 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0008 loss: 2.0008 2022/08/08 15:50:12 - mmengine - INFO - Epoch(train) [14][540/1320] lr: 2.0000e-03 eta: 3:04:39 time: 0.2250 data_time: 0.0138 memory: 11037 grad_norm: 10.3675 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1436 loss: 2.1436 2022/08/08 15:50:16 - mmengine - INFO - Epoch(train) [14][560/1320] lr: 2.0000e-03 eta: 3:04:35 time: 0.2248 data_time: 0.0142 memory: 11037 grad_norm: 10.2952 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0295 loss: 2.0295 2022/08/08 15:50:20 - mmengine - INFO - Epoch(train) [14][580/1320] lr: 2.0000e-03 eta: 3:04:30 time: 0.2230 data_time: 0.0134 memory: 11037 grad_norm: 10.3619 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8621 loss: 1.8621 2022/08/08 15:50:25 - mmengine - INFO - Epoch(train) [14][600/1320] lr: 2.0000e-03 eta: 3:04:25 time: 0.2229 data_time: 0.0127 memory: 11037 grad_norm: 9.9519 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0400 loss: 2.0400 2022/08/08 15:50:30 - mmengine - INFO - Epoch(train) [14][620/1320] lr: 2.0000e-03 eta: 3:04:20 time: 0.2287 data_time: 0.0147 memory: 11037 grad_norm: 10.1455 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2459 loss: 2.2459 2022/08/08 15:50:34 - mmengine - INFO - Epoch(train) [14][640/1320] lr: 2.0000e-03 eta: 3:04:15 time: 0.2227 data_time: 0.0129 memory: 11037 grad_norm: 10.5679 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1878 loss: 2.1878 2022/08/08 15:50:38 - mmengine - INFO - Epoch(train) [14][660/1320] lr: 2.0000e-03 eta: 3:04:10 time: 0.2261 data_time: 0.0122 memory: 11037 grad_norm: 10.5439 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0391 loss: 2.0391 2022/08/08 15:50:43 - mmengine - INFO - Epoch(train) [14][680/1320] lr: 2.0000e-03 eta: 3:04:06 time: 0.2248 data_time: 0.0142 memory: 11037 grad_norm: 10.3709 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9441 loss: 1.9441 2022/08/08 15:50:48 - mmengine - INFO - Epoch(train) [14][700/1320] lr: 2.0000e-03 eta: 3:04:01 time: 0.2273 data_time: 0.0147 memory: 11037 grad_norm: 10.2213 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0289 loss: 2.0289 2022/08/08 15:50:52 - mmengine - INFO - Epoch(train) [14][720/1320] lr: 2.0000e-03 eta: 3:03:56 time: 0.2223 data_time: 0.0121 memory: 11037 grad_norm: 9.9418 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9690 loss: 1.9690 2022/08/08 15:50:56 - mmengine - INFO - Epoch(train) [14][740/1320] lr: 2.0000e-03 eta: 3:03:51 time: 0.2233 data_time: 0.0130 memory: 11037 grad_norm: 10.3847 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9550 loss: 1.9550 2022/08/08 15:51:01 - mmengine - INFO - Epoch(train) [14][760/1320] lr: 2.0000e-03 eta: 3:03:46 time: 0.2252 data_time: 0.0136 memory: 11037 grad_norm: 10.0819 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9976 loss: 1.9976 2022/08/08 15:51:05 - mmengine - INFO - Epoch(train) [14][780/1320] lr: 2.0000e-03 eta: 3:03:41 time: 0.2262 data_time: 0.0135 memory: 11037 grad_norm: 10.4921 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0359 loss: 2.0359 2022/08/08 15:51:10 - mmengine - INFO - Epoch(train) [14][800/1320] lr: 2.0000e-03 eta: 3:03:37 time: 0.2254 data_time: 0.0150 memory: 11037 grad_norm: 10.4279 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1054 loss: 2.1054 2022/08/08 15:51:14 - mmengine - INFO - Epoch(train) [14][820/1320] lr: 2.0000e-03 eta: 3:03:32 time: 0.2231 data_time: 0.0133 memory: 11037 grad_norm: 10.3165 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9006 loss: 1.9006 2022/08/08 15:51:19 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:51:19 - mmengine - INFO - Epoch(train) [14][840/1320] lr: 2.0000e-03 eta: 3:03:27 time: 0.2319 data_time: 0.0137 memory: 11037 grad_norm: 10.0790 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0743 loss: 2.0743 2022/08/08 15:51:24 - mmengine - INFO - Epoch(train) [14][860/1320] lr: 2.0000e-03 eta: 3:03:22 time: 0.2247 data_time: 0.0147 memory: 11037 grad_norm: 10.0218 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1061 loss: 2.1061 2022/08/08 15:51:28 - mmengine - INFO - Epoch(train) [14][880/1320] lr: 2.0000e-03 eta: 3:03:18 time: 0.2236 data_time: 0.0131 memory: 11037 grad_norm: 10.3771 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9133 loss: 1.9133 2022/08/08 15:51:33 - mmengine - INFO - Epoch(train) [14][900/1320] lr: 2.0000e-03 eta: 3:03:13 time: 0.2235 data_time: 0.0147 memory: 11037 grad_norm: 10.4454 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1355 loss: 2.1355 2022/08/08 15:51:37 - mmengine - INFO - Epoch(train) [14][920/1320] lr: 2.0000e-03 eta: 3:03:08 time: 0.2267 data_time: 0.0142 memory: 11037 grad_norm: 10.1742 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8879 loss: 1.8879 2022/08/08 15:51:42 - mmengine - INFO - Epoch(train) [14][940/1320] lr: 2.0000e-03 eta: 3:03:03 time: 0.2242 data_time: 0.0134 memory: 11037 grad_norm: 10.3683 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9756 loss: 1.9756 2022/08/08 15:51:46 - mmengine - INFO - Epoch(train) [14][960/1320] lr: 2.0000e-03 eta: 3:02:58 time: 0.2232 data_time: 0.0149 memory: 11037 grad_norm: 10.6646 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0083 loss: 2.0083 2022/08/08 15:51:51 - mmengine - INFO - Epoch(train) [14][980/1320] lr: 2.0000e-03 eta: 3:02:53 time: 0.2262 data_time: 0.0150 memory: 11037 grad_norm: 10.3425 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0257 loss: 2.0257 2022/08/08 15:51:55 - mmengine - INFO - Epoch(train) [14][1000/1320] lr: 2.0000e-03 eta: 3:02:48 time: 0.2229 data_time: 0.0129 memory: 11037 grad_norm: 10.2704 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1481 loss: 2.1481 2022/08/08 15:52:00 - mmengine - INFO - Epoch(train) [14][1020/1320] lr: 2.0000e-03 eta: 3:02:44 time: 0.2256 data_time: 0.0141 memory: 11037 grad_norm: 10.2789 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9978 loss: 1.9978 2022/08/08 15:52:04 - mmengine - INFO - Epoch(train) [14][1040/1320] lr: 2.0000e-03 eta: 3:02:39 time: 0.2254 data_time: 0.0149 memory: 11037 grad_norm: 10.1865 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9847 loss: 1.9847 2022/08/08 15:52:09 - mmengine - INFO - Epoch(train) [14][1060/1320] lr: 2.0000e-03 eta: 3:02:34 time: 0.2242 data_time: 0.0136 memory: 11037 grad_norm: 10.5438 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.9671 loss: 1.9671 2022/08/08 15:52:13 - mmengine - INFO - Epoch(train) [14][1080/1320] lr: 2.0000e-03 eta: 3:02:29 time: 0.2235 data_time: 0.0158 memory: 11037 grad_norm: 10.0823 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2368 loss: 2.2368 2022/08/08 15:52:18 - mmengine - INFO - Epoch(train) [14][1100/1320] lr: 2.0000e-03 eta: 3:02:25 time: 0.2342 data_time: 0.0153 memory: 11037 grad_norm: 10.2927 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9820 loss: 1.9820 2022/08/08 15:52:22 - mmengine - INFO - Epoch(train) [14][1120/1320] lr: 2.0000e-03 eta: 3:02:20 time: 0.2255 data_time: 0.0148 memory: 11037 grad_norm: 10.1360 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 1.9739 loss: 1.9739 2022/08/08 15:52:27 - mmengine - INFO - Epoch(train) [14][1140/1320] lr: 2.0000e-03 eta: 3:02:15 time: 0.2232 data_time: 0.0140 memory: 11037 grad_norm: 10.3711 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0831 loss: 2.0831 2022/08/08 15:52:31 - mmengine - INFO - Epoch(train) [14][1160/1320] lr: 2.0000e-03 eta: 3:02:10 time: 0.2233 data_time: 0.0137 memory: 11037 grad_norm: 9.9414 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1030 loss: 2.1030 2022/08/08 15:52:36 - mmengine - INFO - Epoch(train) [14][1180/1320] lr: 2.0000e-03 eta: 3:02:05 time: 0.2261 data_time: 0.0142 memory: 11037 grad_norm: 9.9676 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1103 loss: 2.1103 2022/08/08 15:52:40 - mmengine - INFO - Epoch(train) [14][1200/1320] lr: 2.0000e-03 eta: 3:02:01 time: 0.2240 data_time: 0.0135 memory: 11037 grad_norm: 9.7706 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8832 loss: 1.8832 2022/08/08 15:52:45 - mmengine - INFO - Epoch(train) [14][1220/1320] lr: 2.0000e-03 eta: 3:01:56 time: 0.2255 data_time: 0.0153 memory: 11037 grad_norm: 10.2449 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0646 loss: 2.0646 2022/08/08 15:52:49 - mmengine - INFO - Epoch(train) [14][1240/1320] lr: 2.0000e-03 eta: 3:01:51 time: 0.2257 data_time: 0.0148 memory: 11037 grad_norm: 10.0474 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0362 loss: 2.0362 2022/08/08 15:52:54 - mmengine - INFO - Epoch(train) [14][1260/1320] lr: 2.0000e-03 eta: 3:01:46 time: 0.2233 data_time: 0.0140 memory: 11037 grad_norm: 10.0321 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9020 loss: 1.9020 2022/08/08 15:52:58 - mmengine - INFO - Epoch(train) [14][1280/1320] lr: 2.0000e-03 eta: 3:01:42 time: 0.2287 data_time: 0.0150 memory: 11037 grad_norm: 10.1873 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1799 loss: 2.1799 2022/08/08 15:53:03 - mmengine - INFO - Epoch(train) [14][1300/1320] lr: 2.0000e-03 eta: 3:01:37 time: 0.2236 data_time: 0.0136 memory: 11037 grad_norm: 10.2345 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0158 loss: 2.0158 2022/08/08 15:53:07 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:53:07 - mmengine - INFO - Epoch(train) [14][1320/1320] lr: 2.0000e-03 eta: 3:01:31 time: 0.2142 data_time: 0.0114 memory: 11037 grad_norm: 10.1018 top1_acc: 0.3636 top5_acc: 0.4545 loss_cls: 2.1821 loss: 2.1821 2022/08/08 15:53:07 - mmengine - INFO - Saving checkpoint at 14 epochs 2022/08/08 15:53:12 - mmengine - INFO - Epoch(val) [14][20/194] eta: 0:00:27 time: 0.1588 data_time: 0.0829 memory: 1858 2022/08/08 15:53:14 - mmengine - INFO - Epoch(val) [14][40/194] eta: 0:00:17 time: 0.1152 data_time: 0.0395 memory: 1858 2022/08/08 15:53:17 - mmengine - INFO - Epoch(val) [14][60/194] eta: 0:00:16 time: 0.1221 data_time: 0.0450 memory: 1858 2022/08/08 15:53:19 - mmengine - INFO - Epoch(val) [14][80/194] eta: 0:00:12 time: 0.1094 data_time: 0.0330 memory: 1858 2022/08/08 15:53:21 - mmengine - INFO - Epoch(val) [14][100/194] eta: 0:00:10 time: 0.1139 data_time: 0.0399 memory: 1858 2022/08/08 15:53:24 - mmengine - INFO - Epoch(val) [14][120/194] eta: 0:00:07 time: 0.1063 data_time: 0.0316 memory: 1858 2022/08/08 15:53:26 - mmengine - INFO - Epoch(val) [14][140/194] eta: 0:00:06 time: 0.1205 data_time: 0.0430 memory: 1858 2022/08/08 15:53:28 - mmengine - INFO - Epoch(val) [14][160/194] eta: 0:00:03 time: 0.1082 data_time: 0.0306 memory: 1858 2022/08/08 15:53:30 - mmengine - INFO - Epoch(val) [14][180/194] eta: 0:00:01 time: 0.0915 data_time: 0.0258 memory: 1858 2022/08/08 15:53:32 - mmengine - INFO - Epoch(val) [14][194/194] acc/top1: 0.4074 acc/top5: 0.7058 acc/mean1: 0.3364 2022/08/08 15:53:32 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:53:37 - mmengine - INFO - Epoch(train) [15][20/1320] lr: 2.0000e-03 eta: 3:01:28 time: 0.2616 data_time: 0.0464 memory: 11037 grad_norm: 10.4344 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9205 loss: 1.9205 2022/08/08 15:53:41 - mmengine - INFO - Epoch(train) [15][40/1320] lr: 2.0000e-03 eta: 3:01:24 time: 0.2236 data_time: 0.0114 memory: 11037 grad_norm: 10.4333 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9578 loss: 1.9578 2022/08/08 15:53:46 - mmengine - INFO - Epoch(train) [15][60/1320] lr: 2.0000e-03 eta: 3:01:19 time: 0.2238 data_time: 0.0151 memory: 11037 grad_norm: 10.6721 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0019 loss: 2.0019 2022/08/08 15:53:50 - mmengine - INFO - Epoch(train) [15][80/1320] lr: 2.0000e-03 eta: 3:01:14 time: 0.2317 data_time: 0.0152 memory: 11037 grad_norm: 10.1081 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8931 loss: 1.8931 2022/08/08 15:53:55 - mmengine - INFO - Epoch(train) [15][100/1320] lr: 2.0000e-03 eta: 3:01:09 time: 0.2244 data_time: 0.0137 memory: 11037 grad_norm: 10.2797 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0584 loss: 2.0584 2022/08/08 15:53:59 - mmengine - INFO - Epoch(train) [15][120/1320] lr: 2.0000e-03 eta: 3:01:04 time: 0.2225 data_time: 0.0134 memory: 11037 grad_norm: 9.9170 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8887 loss: 1.8887 2022/08/08 15:54:04 - mmengine - INFO - Epoch(train) [15][140/1320] lr: 2.0000e-03 eta: 3:01:00 time: 0.2252 data_time: 0.0143 memory: 11037 grad_norm: 9.9226 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1454 loss: 2.1454 2022/08/08 15:54:08 - mmengine - INFO - Epoch(train) [15][160/1320] lr: 2.0000e-03 eta: 3:00:55 time: 0.2256 data_time: 0.0142 memory: 11037 grad_norm: 10.0051 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9588 loss: 1.9588 2022/08/08 15:54:13 - mmengine - INFO - Epoch(train) [15][180/1320] lr: 2.0000e-03 eta: 3:00:50 time: 0.2221 data_time: 0.0126 memory: 11037 grad_norm: 10.2726 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8560 loss: 1.8560 2022/08/08 15:54:17 - mmengine - INFO - Epoch(train) [15][200/1320] lr: 2.0000e-03 eta: 3:00:45 time: 0.2257 data_time: 0.0148 memory: 11037 grad_norm: 10.3235 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8681 loss: 1.8681 2022/08/08 15:54:22 - mmengine - INFO - Epoch(train) [15][220/1320] lr: 2.0000e-03 eta: 3:00:40 time: 0.2236 data_time: 0.0137 memory: 11037 grad_norm: 10.6997 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8205 loss: 1.8205 2022/08/08 15:54:26 - mmengine - INFO - Epoch(train) [15][240/1320] lr: 2.0000e-03 eta: 3:00:36 time: 0.2243 data_time: 0.0138 memory: 11037 grad_norm: 10.2021 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 2.1265 loss: 2.1265 2022/08/08 15:54:31 - mmengine - INFO - Epoch(train) [15][260/1320] lr: 2.0000e-03 eta: 3:00:31 time: 0.2283 data_time: 0.0153 memory: 11037 grad_norm: 10.5801 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8471 loss: 1.8471 2022/08/08 15:54:35 - mmengine - INFO - Epoch(train) [15][280/1320] lr: 2.0000e-03 eta: 3:00:26 time: 0.2232 data_time: 0.0140 memory: 11037 grad_norm: 10.1672 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9964 loss: 1.9964 2022/08/08 15:54:40 - mmengine - INFO - Epoch(train) [15][300/1320] lr: 2.0000e-03 eta: 3:00:21 time: 0.2247 data_time: 0.0141 memory: 11037 grad_norm: 10.0325 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.8728 loss: 1.8728 2022/08/08 15:54:44 - mmengine - INFO - Epoch(train) [15][320/1320] lr: 2.0000e-03 eta: 3:00:16 time: 0.2238 data_time: 0.0140 memory: 11037 grad_norm: 10.2688 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2882 loss: 2.2882 2022/08/08 15:54:49 - mmengine - INFO - Epoch(train) [15][340/1320] lr: 2.0000e-03 eta: 3:00:12 time: 0.2306 data_time: 0.0124 memory: 11037 grad_norm: 10.2050 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9845 loss: 1.9845 2022/08/08 15:54:53 - mmengine - INFO - Epoch(train) [15][360/1320] lr: 2.0000e-03 eta: 3:00:07 time: 0.2263 data_time: 0.0144 memory: 11037 grad_norm: 10.1825 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9380 loss: 1.9380 2022/08/08 15:54:58 - mmengine - INFO - Epoch(train) [15][380/1320] lr: 2.0000e-03 eta: 3:00:02 time: 0.2253 data_time: 0.0150 memory: 11037 grad_norm: 10.6215 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9533 loss: 1.9533 2022/08/08 15:55:02 - mmengine - INFO - Epoch(train) [15][400/1320] lr: 2.0000e-03 eta: 2:59:58 time: 0.2245 data_time: 0.0141 memory: 11037 grad_norm: 10.0446 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8866 loss: 1.8866 2022/08/08 15:55:07 - mmengine - INFO - Epoch(train) [15][420/1320] lr: 2.0000e-03 eta: 2:59:53 time: 0.2232 data_time: 0.0127 memory: 11037 grad_norm: 10.2764 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0411 loss: 2.0411 2022/08/08 15:55:11 - mmengine - INFO - Epoch(train) [15][440/1320] lr: 2.0000e-03 eta: 2:59:48 time: 0.2267 data_time: 0.0163 memory: 11037 grad_norm: 10.3213 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8636 loss: 1.8636 2022/08/08 15:55:16 - mmengine - INFO - Epoch(train) [15][460/1320] lr: 2.0000e-03 eta: 2:59:43 time: 0.2228 data_time: 0.0121 memory: 11037 grad_norm: 10.4611 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1272 loss: 2.1272 2022/08/08 15:55:20 - mmengine - INFO - Epoch(train) [15][480/1320] lr: 2.0000e-03 eta: 2:59:38 time: 0.2243 data_time: 0.0131 memory: 11037 grad_norm: 10.2542 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0181 loss: 2.0181 2022/08/08 15:55:25 - mmengine - INFO - Epoch(train) [15][500/1320] lr: 2.0000e-03 eta: 2:59:33 time: 0.2237 data_time: 0.0136 memory: 11037 grad_norm: 10.4770 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 2.0019 loss: 2.0019 2022/08/08 15:55:29 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:55:29 - mmengine - INFO - Epoch(train) [15][520/1320] lr: 2.0000e-03 eta: 2:59:29 time: 0.2258 data_time: 0.0134 memory: 11037 grad_norm: 10.0025 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 2.0220 loss: 2.0220 2022/08/08 15:55:34 - mmengine - INFO - Epoch(train) [15][540/1320] lr: 2.0000e-03 eta: 2:59:24 time: 0.2231 data_time: 0.0138 memory: 11037 grad_norm: 10.2338 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8981 loss: 1.8981 2022/08/08 15:55:38 - mmengine - INFO - Epoch(train) [15][560/1320] lr: 2.0000e-03 eta: 2:59:19 time: 0.2258 data_time: 0.0140 memory: 11037 grad_norm: 10.5827 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9599 loss: 1.9599 2022/08/08 15:55:43 - mmengine - INFO - Epoch(train) [15][580/1320] lr: 2.0000e-03 eta: 2:59:14 time: 0.2239 data_time: 0.0131 memory: 11037 grad_norm: 10.5115 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0551 loss: 2.0551 2022/08/08 15:55:47 - mmengine - INFO - Epoch(train) [15][600/1320] lr: 2.0000e-03 eta: 2:59:09 time: 0.2250 data_time: 0.0132 memory: 11037 grad_norm: 10.1587 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9175 loss: 1.9175 2022/08/08 15:55:52 - mmengine - INFO - Epoch(train) [15][620/1320] lr: 2.0000e-03 eta: 2:59:05 time: 0.2253 data_time: 0.0175 memory: 11037 grad_norm: 10.3501 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9944 loss: 1.9944 2022/08/08 15:55:56 - mmengine - INFO - Epoch(train) [15][640/1320] lr: 2.0000e-03 eta: 2:59:00 time: 0.2247 data_time: 0.0126 memory: 11037 grad_norm: 10.2070 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2078 loss: 2.2078 2022/08/08 15:56:01 - mmengine - INFO - Epoch(train) [15][660/1320] lr: 2.0000e-03 eta: 2:58:55 time: 0.2236 data_time: 0.0131 memory: 11037 grad_norm: 10.4153 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0248 loss: 2.0248 2022/08/08 15:56:05 - mmengine - INFO - Epoch(train) [15][680/1320] lr: 2.0000e-03 eta: 2:58:50 time: 0.2253 data_time: 0.0145 memory: 11037 grad_norm: 10.1596 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1399 loss: 2.1399 2022/08/08 15:56:10 - mmengine - INFO - Epoch(train) [15][700/1320] lr: 2.0000e-03 eta: 2:58:45 time: 0.2264 data_time: 0.0142 memory: 11037 grad_norm: 9.9836 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.0569 loss: 2.0569 2022/08/08 15:56:14 - mmengine - INFO - Epoch(train) [15][720/1320] lr: 2.0000e-03 eta: 2:58:41 time: 0.2235 data_time: 0.0135 memory: 11037 grad_norm: 10.3331 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9115 loss: 1.9115 2022/08/08 15:56:19 - mmengine - INFO - Epoch(train) [15][740/1320] lr: 2.0000e-03 eta: 2:58:36 time: 0.2262 data_time: 0.0163 memory: 11037 grad_norm: 10.2108 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.0667 loss: 2.0667 2022/08/08 15:56:23 - mmengine - INFO - Epoch(train) [15][760/1320] lr: 2.0000e-03 eta: 2:58:31 time: 0.2243 data_time: 0.0119 memory: 11037 grad_norm: 10.1704 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9243 loss: 1.9243 2022/08/08 15:56:28 - mmengine - INFO - Epoch(train) [15][780/1320] lr: 2.0000e-03 eta: 2:58:26 time: 0.2228 data_time: 0.0128 memory: 11037 grad_norm: 10.2379 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9945 loss: 1.9945 2022/08/08 15:56:32 - mmengine - INFO - Epoch(train) [15][800/1320] lr: 2.0000e-03 eta: 2:58:21 time: 0.2266 data_time: 0.0160 memory: 11037 grad_norm: 10.7204 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0732 loss: 2.0732 2022/08/08 15:56:37 - mmengine - INFO - Epoch(train) [15][820/1320] lr: 2.0000e-03 eta: 2:58:17 time: 0.2238 data_time: 0.0140 memory: 11037 grad_norm: 10.1907 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8470 loss: 1.8470 2022/08/08 15:56:41 - mmengine - INFO - Epoch(train) [15][840/1320] lr: 2.0000e-03 eta: 2:58:12 time: 0.2252 data_time: 0.0140 memory: 11037 grad_norm: 9.9233 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9466 loss: 1.9466 2022/08/08 15:56:46 - mmengine - INFO - Epoch(train) [15][860/1320] lr: 2.0000e-03 eta: 2:58:07 time: 0.2249 data_time: 0.0138 memory: 11037 grad_norm: 10.2995 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8975 loss: 1.8975 2022/08/08 15:56:50 - mmengine - INFO - Epoch(train) [15][880/1320] lr: 2.0000e-03 eta: 2:58:02 time: 0.2237 data_time: 0.0130 memory: 11037 grad_norm: 9.8088 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9783 loss: 1.9783 2022/08/08 15:56:55 - mmengine - INFO - Epoch(train) [15][900/1320] lr: 2.0000e-03 eta: 2:57:57 time: 0.2238 data_time: 0.0135 memory: 11037 grad_norm: 10.4344 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0449 loss: 2.0449 2022/08/08 15:56:59 - mmengine - INFO - Epoch(train) [15][920/1320] lr: 2.0000e-03 eta: 2:57:53 time: 0.2274 data_time: 0.0149 memory: 11037 grad_norm: 10.3790 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0893 loss: 2.0893 2022/08/08 15:57:04 - mmengine - INFO - Epoch(train) [15][940/1320] lr: 2.0000e-03 eta: 2:57:48 time: 0.2232 data_time: 0.0122 memory: 11037 grad_norm: 10.0513 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0534 loss: 2.0534 2022/08/08 15:57:08 - mmengine - INFO - Epoch(train) [15][960/1320] lr: 2.0000e-03 eta: 2:57:43 time: 0.2244 data_time: 0.0133 memory: 11037 grad_norm: 10.3597 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7283 loss: 1.7283 2022/08/08 15:57:13 - mmengine - INFO - Epoch(train) [15][980/1320] lr: 2.0000e-03 eta: 2:57:38 time: 0.2227 data_time: 0.0132 memory: 11037 grad_norm: 10.3890 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8926 loss: 1.8926 2022/08/08 15:57:17 - mmengine - INFO - Epoch(train) [15][1000/1320] lr: 2.0000e-03 eta: 2:57:33 time: 0.2250 data_time: 0.0130 memory: 11037 grad_norm: 10.3950 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1224 loss: 2.1224 2022/08/08 15:57:22 - mmengine - INFO - Epoch(train) [15][1020/1320] lr: 2.0000e-03 eta: 2:57:29 time: 0.2256 data_time: 0.0133 memory: 11037 grad_norm: 10.5100 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.2266 loss: 2.2266 2022/08/08 15:57:26 - mmengine - INFO - Epoch(train) [15][1040/1320] lr: 2.0000e-03 eta: 2:57:24 time: 0.2234 data_time: 0.0149 memory: 11037 grad_norm: 10.0115 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.8597 loss: 1.8597 2022/08/08 15:57:31 - mmengine - INFO - Epoch(train) [15][1060/1320] lr: 2.0000e-03 eta: 2:57:19 time: 0.2252 data_time: 0.0125 memory: 11037 grad_norm: 10.1730 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.0359 loss: 2.0359 2022/08/08 15:57:35 - mmengine - INFO - Epoch(train) [15][1080/1320] lr: 2.0000e-03 eta: 2:57:14 time: 0.2229 data_time: 0.0128 memory: 11037 grad_norm: 10.4008 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0928 loss: 2.0928 2022/08/08 15:57:40 - mmengine - INFO - Epoch(train) [15][1100/1320] lr: 2.0000e-03 eta: 2:57:10 time: 0.2322 data_time: 0.0144 memory: 11037 grad_norm: 10.2153 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9059 loss: 1.9059 2022/08/08 15:57:44 - mmengine - INFO - Epoch(train) [15][1120/1320] lr: 2.0000e-03 eta: 2:57:05 time: 0.2241 data_time: 0.0134 memory: 11037 grad_norm: 10.1396 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0807 loss: 2.0807 2022/08/08 15:57:49 - mmengine - INFO - Epoch(train) [15][1140/1320] lr: 2.0000e-03 eta: 2:57:00 time: 0.2265 data_time: 0.0142 memory: 11037 grad_norm: 10.2669 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9819 loss: 1.9819 2022/08/08 15:57:53 - mmengine - INFO - Epoch(train) [15][1160/1320] lr: 2.0000e-03 eta: 2:56:56 time: 0.2250 data_time: 0.0166 memory: 11037 grad_norm: 10.0831 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1196 loss: 2.1196 2022/08/08 15:57:58 - mmengine - INFO - Epoch(train) [15][1180/1320] lr: 2.0000e-03 eta: 2:56:51 time: 0.2244 data_time: 0.0117 memory: 11037 grad_norm: 9.8815 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0010 loss: 2.0010 2022/08/08 15:58:02 - mmengine - INFO - Epoch(train) [15][1200/1320] lr: 2.0000e-03 eta: 2:56:46 time: 0.2240 data_time: 0.0130 memory: 11037 grad_norm: 10.2636 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.0172 loss: 2.0172 2022/08/08 15:58:07 - mmengine - INFO - Epoch(train) [15][1220/1320] lr: 2.0000e-03 eta: 2:56:41 time: 0.2249 data_time: 0.0149 memory: 11037 grad_norm: 10.3086 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3052 loss: 2.3052 2022/08/08 15:58:11 - mmengine - INFO - Epoch(train) [15][1240/1320] lr: 2.0000e-03 eta: 2:56:36 time: 0.2253 data_time: 0.0137 memory: 11037 grad_norm: 10.3331 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9757 loss: 1.9757 2022/08/08 15:58:16 - mmengine - INFO - Epoch(train) [15][1260/1320] lr: 2.0000e-03 eta: 2:56:32 time: 0.2233 data_time: 0.0120 memory: 11037 grad_norm: 10.0407 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7380 loss: 1.7380 2022/08/08 15:58:20 - mmengine - INFO - Epoch(train) [15][1280/1320] lr: 2.0000e-03 eta: 2:56:27 time: 0.2256 data_time: 0.0152 memory: 11037 grad_norm: 10.3420 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0237 loss: 2.0237 2022/08/08 15:58:25 - mmengine - INFO - Epoch(train) [15][1300/1320] lr: 2.0000e-03 eta: 2:56:22 time: 0.2233 data_time: 0.0130 memory: 11037 grad_norm: 10.4470 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7939 loss: 1.7939 2022/08/08 15:58:29 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:58:29 - mmengine - INFO - Epoch(train) [15][1320/1320] lr: 2.0000e-03 eta: 2:56:17 time: 0.2152 data_time: 0.0135 memory: 11037 grad_norm: 10.4673 top1_acc: 0.6364 top5_acc: 0.9091 loss_cls: 1.9368 loss: 1.9368 2022/08/08 15:58:29 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/08/08 15:58:35 - mmengine - INFO - Epoch(val) [15][20/194] eta: 0:00:29 time: 0.1667 data_time: 0.0911 memory: 1858 2022/08/08 15:58:37 - mmengine - INFO - Epoch(val) [15][40/194] eta: 0:00:16 time: 0.1053 data_time: 0.0268 memory: 1858 2022/08/08 15:58:40 - mmengine - INFO - Epoch(val) [15][60/194] eta: 0:00:15 time: 0.1157 data_time: 0.0347 memory: 1858 2022/08/08 15:58:42 - mmengine - INFO - Epoch(val) [15][80/194] eta: 0:00:12 time: 0.1103 data_time: 0.0344 memory: 1858 2022/08/08 15:58:44 - mmengine - INFO - Epoch(val) [15][100/194] eta: 0:00:11 time: 0.1215 data_time: 0.0460 memory: 1858 2022/08/08 15:58:46 - mmengine - INFO - Epoch(val) [15][120/194] eta: 0:00:08 time: 0.1083 data_time: 0.0316 memory: 1858 2022/08/08 15:58:49 - mmengine - INFO - Epoch(val) [15][140/194] eta: 0:00:06 time: 0.1277 data_time: 0.0473 memory: 1858 2022/08/08 15:58:51 - mmengine - INFO - Epoch(val) [15][160/194] eta: 0:00:03 time: 0.1021 data_time: 0.0241 memory: 1858 2022/08/08 15:58:52 - mmengine - INFO - Epoch(val) [15][180/194] eta: 0:00:01 time: 0.0760 data_time: 0.0182 memory: 1858 2022/08/08 15:58:54 - mmengine - INFO - Epoch(val) [15][194/194] acc/top1: 0.4236 acc/top5: 0.7097 acc/mean1: 0.3476 2022/08/08 15:58:54 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_13.pth is removed 2022/08/08 15:58:55 - mmengine - INFO - The best checkpoint with 0.4236 acc/top1 at 16 epoch is saved to best_acc/top1_epoch_16.pth. 2022/08/08 15:58:55 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 15:59:00 - mmengine - INFO - Epoch(train) [16][20/1320] lr: 2.0000e-03 eta: 2:56:13 time: 0.2485 data_time: 0.0407 memory: 11037 grad_norm: 10.0360 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0586 loss: 2.0586 2022/08/08 15:59:05 - mmengine - INFO - Epoch(train) [16][40/1320] lr: 2.0000e-03 eta: 2:56:08 time: 0.2238 data_time: 0.0129 memory: 11037 grad_norm: 10.5167 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0961 loss: 2.0961 2022/08/08 15:59:09 - mmengine - INFO - Epoch(train) [16][60/1320] lr: 2.0000e-03 eta: 2:56:04 time: 0.2270 data_time: 0.0149 memory: 11037 grad_norm: 10.5567 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9622 loss: 1.9622 2022/08/08 15:59:14 - mmengine - INFO - Epoch(train) [16][80/1320] lr: 2.0000e-03 eta: 2:55:59 time: 0.2236 data_time: 0.0135 memory: 11037 grad_norm: 10.6364 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0100 loss: 2.0100 2022/08/08 15:59:18 - mmengine - INFO - Epoch(train) [16][100/1320] lr: 2.0000e-03 eta: 2:55:54 time: 0.2248 data_time: 0.0131 memory: 11037 grad_norm: 10.1811 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9563 loss: 1.9563 2022/08/08 15:59:23 - mmengine - INFO - Epoch(train) [16][120/1320] lr: 2.0000e-03 eta: 2:55:49 time: 0.2240 data_time: 0.0147 memory: 11037 grad_norm: 10.4879 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0980 loss: 2.0980 2022/08/08 15:59:27 - mmengine - INFO - Epoch(train) [16][140/1320] lr: 2.0000e-03 eta: 2:55:44 time: 0.2232 data_time: 0.0129 memory: 11037 grad_norm: 10.3245 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0116 loss: 2.0116 2022/08/08 15:59:32 - mmengine - INFO - Epoch(train) [16][160/1320] lr: 2.0000e-03 eta: 2:55:40 time: 0.2255 data_time: 0.0141 memory: 11037 grad_norm: 10.5077 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0266 loss: 2.0266 2022/08/08 15:59:36 - mmengine - INFO - Epoch(train) [16][180/1320] lr: 2.0000e-03 eta: 2:55:35 time: 0.2252 data_time: 0.0141 memory: 11037 grad_norm: 10.3554 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0141 loss: 2.0141 2022/08/08 15:59:41 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 15:59:41 - mmengine - INFO - Epoch(train) [16][200/1320] lr: 2.0000e-03 eta: 2:55:30 time: 0.2228 data_time: 0.0115 memory: 11037 grad_norm: 9.7278 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 2.0730 loss: 2.0730 2022/08/08 15:59:45 - mmengine - INFO - Epoch(train) [16][220/1320] lr: 2.0000e-03 eta: 2:55:25 time: 0.2239 data_time: 0.0136 memory: 11037 grad_norm: 10.0477 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9420 loss: 1.9420 2022/08/08 15:59:50 - mmengine - INFO - Epoch(train) [16][240/1320] lr: 2.0000e-03 eta: 2:55:21 time: 0.2271 data_time: 0.0155 memory: 11037 grad_norm: 10.4007 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2137 loss: 2.2137 2022/08/08 15:59:54 - mmengine - INFO - Epoch(train) [16][260/1320] lr: 2.0000e-03 eta: 2:55:16 time: 0.2241 data_time: 0.0160 memory: 11037 grad_norm: 10.4957 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0364 loss: 2.0364 2022/08/08 15:59:59 - mmengine - INFO - Epoch(train) [16][280/1320] lr: 2.0000e-03 eta: 2:55:11 time: 0.2230 data_time: 0.0134 memory: 11037 grad_norm: 10.1523 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8036 loss: 1.8036 2022/08/08 16:00:03 - mmengine - INFO - Epoch(train) [16][300/1320] lr: 2.0000e-03 eta: 2:55:06 time: 0.2234 data_time: 0.0160 memory: 11037 grad_norm: 10.3253 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0785 loss: 2.0785 2022/08/08 16:00:08 - mmengine - INFO - Epoch(train) [16][320/1320] lr: 2.0000e-03 eta: 2:55:01 time: 0.2284 data_time: 0.0142 memory: 11037 grad_norm: 10.6233 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1357 loss: 2.1357 2022/08/08 16:00:12 - mmengine - INFO - Epoch(train) [16][340/1320] lr: 2.0000e-03 eta: 2:54:57 time: 0.2232 data_time: 0.0129 memory: 11037 grad_norm: 10.2862 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9705 loss: 1.9705 2022/08/08 16:00:17 - mmengine - INFO - Epoch(train) [16][360/1320] lr: 2.0000e-03 eta: 2:54:52 time: 0.2235 data_time: 0.0157 memory: 11037 grad_norm: 9.9416 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0344 loss: 2.0344 2022/08/08 16:00:21 - mmengine - INFO - Epoch(train) [16][380/1320] lr: 2.0000e-03 eta: 2:54:47 time: 0.2242 data_time: 0.0128 memory: 11037 grad_norm: 10.3649 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9161 loss: 1.9161 2022/08/08 16:00:26 - mmengine - INFO - Epoch(train) [16][400/1320] lr: 2.0000e-03 eta: 2:54:42 time: 0.2234 data_time: 0.0144 memory: 11037 grad_norm: 10.5597 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8197 loss: 1.8197 2022/08/08 16:00:30 - mmengine - INFO - Epoch(train) [16][420/1320] lr: 2.0000e-03 eta: 2:54:38 time: 0.2285 data_time: 0.0169 memory: 11037 grad_norm: 10.6545 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7908 loss: 1.7908 2022/08/08 16:00:35 - mmengine - INFO - Epoch(train) [16][440/1320] lr: 2.0000e-03 eta: 2:54:33 time: 0.2233 data_time: 0.0126 memory: 11037 grad_norm: 10.5551 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1794 loss: 2.1794 2022/08/08 16:00:39 - mmengine - INFO - Epoch(train) [16][460/1320] lr: 2.0000e-03 eta: 2:54:28 time: 0.2272 data_time: 0.0135 memory: 11037 grad_norm: 10.4710 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8367 loss: 1.8367 2022/08/08 16:00:44 - mmengine - INFO - Epoch(train) [16][480/1320] lr: 2.0000e-03 eta: 2:54:23 time: 0.2253 data_time: 0.0137 memory: 11037 grad_norm: 10.5393 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1407 loss: 2.1407 2022/08/08 16:00:48 - mmengine - INFO - Epoch(train) [16][500/1320] lr: 2.0000e-03 eta: 2:54:19 time: 0.2345 data_time: 0.0148 memory: 11037 grad_norm: 10.1376 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7697 loss: 1.7697 2022/08/08 16:00:53 - mmengine - INFO - Epoch(train) [16][520/1320] lr: 2.0000e-03 eta: 2:54:14 time: 0.2239 data_time: 0.0136 memory: 11037 grad_norm: 10.7671 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8949 loss: 1.8949 2022/08/08 16:00:57 - mmengine - INFO - Epoch(train) [16][540/1320] lr: 2.0000e-03 eta: 2:54:09 time: 0.2239 data_time: 0.0150 memory: 11037 grad_norm: 10.5719 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7745 loss: 1.7745 2022/08/08 16:01:02 - mmengine - INFO - Epoch(train) [16][560/1320] lr: 2.0000e-03 eta: 2:54:05 time: 0.2242 data_time: 0.0163 memory: 11037 grad_norm: 10.4848 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0024 loss: 2.0024 2022/08/08 16:01:06 - mmengine - INFO - Epoch(train) [16][580/1320] lr: 2.0000e-03 eta: 2:54:00 time: 0.2226 data_time: 0.0126 memory: 11037 grad_norm: 10.5035 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1105 loss: 2.1105 2022/08/08 16:01:11 - mmengine - INFO - Epoch(train) [16][600/1320] lr: 2.0000e-03 eta: 2:53:55 time: 0.2275 data_time: 0.0146 memory: 11037 grad_norm: 10.2945 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1549 loss: 2.1549 2022/08/08 16:01:15 - mmengine - INFO - Epoch(train) [16][620/1320] lr: 2.0000e-03 eta: 2:53:50 time: 0.2233 data_time: 0.0130 memory: 11037 grad_norm: 10.4906 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8751 loss: 1.8751 2022/08/08 16:01:20 - mmengine - INFO - Epoch(train) [16][640/1320] lr: 2.0000e-03 eta: 2:53:45 time: 0.2238 data_time: 0.0132 memory: 11037 grad_norm: 10.2646 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8376 loss: 1.8376 2022/08/08 16:01:24 - mmengine - INFO - Epoch(train) [16][660/1320] lr: 2.0000e-03 eta: 2:53:41 time: 0.2245 data_time: 0.0142 memory: 11037 grad_norm: 10.2398 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.9465 loss: 1.9465 2022/08/08 16:01:29 - mmengine - INFO - Epoch(train) [16][680/1320] lr: 2.0000e-03 eta: 2:53:36 time: 0.2272 data_time: 0.0136 memory: 11037 grad_norm: 10.3381 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0203 loss: 2.0203 2022/08/08 16:01:33 - mmengine - INFO - Epoch(train) [16][700/1320] lr: 2.0000e-03 eta: 2:53:31 time: 0.2241 data_time: 0.0128 memory: 11037 grad_norm: 9.9188 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9917 loss: 1.9917 2022/08/08 16:01:38 - mmengine - INFO - Epoch(train) [16][720/1320] lr: 2.0000e-03 eta: 2:53:27 time: 0.2273 data_time: 0.0135 memory: 11037 grad_norm: 10.3344 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0697 loss: 2.0697 2022/08/08 16:01:42 - mmengine - INFO - Epoch(train) [16][740/1320] lr: 2.0000e-03 eta: 2:53:22 time: 0.2229 data_time: 0.0132 memory: 11037 grad_norm: 10.2646 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0517 loss: 2.0517 2022/08/08 16:01:47 - mmengine - INFO - Epoch(train) [16][760/1320] lr: 2.0000e-03 eta: 2:53:17 time: 0.2237 data_time: 0.0137 memory: 11037 grad_norm: 10.3229 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0016 loss: 2.0016 2022/08/08 16:01:51 - mmengine - INFO - Epoch(train) [16][780/1320] lr: 2.0000e-03 eta: 2:53:12 time: 0.2281 data_time: 0.0156 memory: 11037 grad_norm: 10.3601 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8945 loss: 1.8945 2022/08/08 16:01:56 - mmengine - INFO - Epoch(train) [16][800/1320] lr: 2.0000e-03 eta: 2:53:08 time: 0.2231 data_time: 0.0131 memory: 11037 grad_norm: 10.0355 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8976 loss: 1.8976 2022/08/08 16:02:00 - mmengine - INFO - Epoch(train) [16][820/1320] lr: 2.0000e-03 eta: 2:53:03 time: 0.2247 data_time: 0.0131 memory: 11037 grad_norm: 10.2841 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1388 loss: 2.1388 2022/08/08 16:02:05 - mmengine - INFO - Epoch(train) [16][840/1320] lr: 2.0000e-03 eta: 2:52:58 time: 0.2243 data_time: 0.0135 memory: 11037 grad_norm: 10.1749 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9755 loss: 1.9755 2022/08/08 16:02:09 - mmengine - INFO - Epoch(train) [16][860/1320] lr: 2.0000e-03 eta: 2:52:53 time: 0.2253 data_time: 0.0135 memory: 11037 grad_norm: 10.4735 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9383 loss: 1.9383 2022/08/08 16:02:14 - mmengine - INFO - Epoch(train) [16][880/1320] lr: 2.0000e-03 eta: 2:52:49 time: 0.2305 data_time: 0.0206 memory: 11037 grad_norm: 10.4539 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1578 loss: 2.1578 2022/08/08 16:02:19 - mmengine - INFO - Epoch(train) [16][900/1320] lr: 2.0000e-03 eta: 2:52:44 time: 0.2266 data_time: 0.0143 memory: 11037 grad_norm: 10.1446 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8737 loss: 1.8737 2022/08/08 16:02:23 - mmengine - INFO - Epoch(train) [16][920/1320] lr: 2.0000e-03 eta: 2:52:39 time: 0.2225 data_time: 0.0120 memory: 11037 grad_norm: 10.5069 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8119 loss: 1.8119 2022/08/08 16:02:27 - mmengine - INFO - Epoch(train) [16][940/1320] lr: 2.0000e-03 eta: 2:52:35 time: 0.2242 data_time: 0.0133 memory: 11037 grad_norm: 10.4272 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.0098 loss: 2.0098 2022/08/08 16:02:32 - mmengine - INFO - Epoch(train) [16][960/1320] lr: 2.0000e-03 eta: 2:52:30 time: 0.2272 data_time: 0.0146 memory: 11037 grad_norm: 10.3498 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 2.0644 loss: 2.0644 2022/08/08 16:02:36 - mmengine - INFO - Epoch(train) [16][980/1320] lr: 2.0000e-03 eta: 2:52:25 time: 0.2233 data_time: 0.0123 memory: 11037 grad_norm: 10.2371 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8799 loss: 1.8799 2022/08/08 16:02:41 - mmengine - INFO - Epoch(train) [16][1000/1320] lr: 2.0000e-03 eta: 2:52:20 time: 0.2256 data_time: 0.0137 memory: 11037 grad_norm: 10.2890 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0587 loss: 2.0587 2022/08/08 16:02:46 - mmengine - INFO - Epoch(train) [16][1020/1320] lr: 2.0000e-03 eta: 2:52:16 time: 0.2246 data_time: 0.0136 memory: 11037 grad_norm: 10.3408 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8907 loss: 1.8907 2022/08/08 16:02:50 - mmengine - INFO - Epoch(train) [16][1040/1320] lr: 2.0000e-03 eta: 2:52:11 time: 0.2249 data_time: 0.0139 memory: 11037 grad_norm: 10.2243 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0872 loss: 2.0872 2022/08/08 16:02:55 - mmengine - INFO - Epoch(train) [16][1060/1320] lr: 2.0000e-03 eta: 2:52:06 time: 0.2247 data_time: 0.0139 memory: 11037 grad_norm: 10.1677 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0398 loss: 2.0398 2022/08/08 16:02:59 - mmengine - INFO - Epoch(train) [16][1080/1320] lr: 2.0000e-03 eta: 2:52:01 time: 0.2244 data_time: 0.0152 memory: 11037 grad_norm: 10.2045 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9820 loss: 1.9820 2022/08/08 16:03:03 - mmengine - INFO - Epoch(train) [16][1100/1320] lr: 2.0000e-03 eta: 2:51:56 time: 0.2231 data_time: 0.0126 memory: 11037 grad_norm: 10.8496 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8146 loss: 1.8146 2022/08/08 16:03:08 - mmengine - INFO - Epoch(train) [16][1120/1320] lr: 2.0000e-03 eta: 2:51:52 time: 0.2248 data_time: 0.0162 memory: 11037 grad_norm: 9.8111 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0627 loss: 2.0627 2022/08/08 16:03:12 - mmengine - INFO - Epoch(train) [16][1140/1320] lr: 2.0000e-03 eta: 2:51:47 time: 0.2248 data_time: 0.0145 memory: 11037 grad_norm: 10.3711 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0535 loss: 2.0535 2022/08/08 16:03:17 - mmengine - INFO - Epoch(train) [16][1160/1320] lr: 2.0000e-03 eta: 2:51:42 time: 0.2240 data_time: 0.0132 memory: 11037 grad_norm: 10.5177 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9775 loss: 1.9775 2022/08/08 16:03:21 - mmengine - INFO - Epoch(train) [16][1180/1320] lr: 2.0000e-03 eta: 2:51:38 time: 0.2270 data_time: 0.0139 memory: 11037 grad_norm: 10.2195 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1523 loss: 2.1523 2022/08/08 16:03:26 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:03:26 - mmengine - INFO - Epoch(train) [16][1200/1320] lr: 2.0000e-03 eta: 2:51:33 time: 0.2236 data_time: 0.0132 memory: 11037 grad_norm: 10.2765 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0598 loss: 2.0598 2022/08/08 16:03:30 - mmengine - INFO - Epoch(train) [16][1220/1320] lr: 2.0000e-03 eta: 2:51:28 time: 0.2261 data_time: 0.0123 memory: 11037 grad_norm: 9.9450 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8242 loss: 1.8242 2022/08/08 16:03:35 - mmengine - INFO - Epoch(train) [16][1240/1320] lr: 2.0000e-03 eta: 2:51:23 time: 0.2246 data_time: 0.0130 memory: 11037 grad_norm: 10.2518 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3221 loss: 2.3221 2022/08/08 16:03:40 - mmengine - INFO - Epoch(train) [16][1260/1320] lr: 2.0000e-03 eta: 2:51:19 time: 0.2323 data_time: 0.0145 memory: 11037 grad_norm: 10.0767 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0996 loss: 2.0996 2022/08/08 16:03:44 - mmengine - INFO - Epoch(train) [16][1280/1320] lr: 2.0000e-03 eta: 2:51:14 time: 0.2223 data_time: 0.0123 memory: 11037 grad_norm: 10.2503 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8674 loss: 1.8674 2022/08/08 16:03:49 - mmengine - INFO - Epoch(train) [16][1300/1320] lr: 2.0000e-03 eta: 2:51:09 time: 0.2260 data_time: 0.0135 memory: 11037 grad_norm: 10.2812 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0011 loss: 2.0011 2022/08/08 16:03:53 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:03:53 - mmengine - INFO - Epoch(train) [16][1320/1320] lr: 2.0000e-03 eta: 2:51:04 time: 0.2151 data_time: 0.0140 memory: 11037 grad_norm: 10.3107 top1_acc: 0.5455 top5_acc: 0.9091 loss_cls: 2.1719 loss: 2.1719 2022/08/08 16:03:53 - mmengine - INFO - Saving checkpoint at 16 epochs 2022/08/08 16:03:58 - mmengine - INFO - Epoch(val) [16][20/194] eta: 0:00:28 time: 0.1615 data_time: 0.0850 memory: 1858 2022/08/08 16:04:00 - mmengine - INFO - Epoch(val) [16][40/194] eta: 0:00:16 time: 0.1087 data_time: 0.0323 memory: 1858 2022/08/08 16:04:03 - mmengine - INFO - Epoch(val) [16][60/194] eta: 0:00:15 time: 0.1149 data_time: 0.0406 memory: 1858 2022/08/08 16:04:05 - mmengine - INFO - Epoch(val) [16][80/194] eta: 0:00:12 time: 0.1085 data_time: 0.0320 memory: 1858 2022/08/08 16:04:07 - mmengine - INFO - Epoch(val) [16][100/194] eta: 0:00:10 time: 0.1150 data_time: 0.0394 memory: 1858 2022/08/08 16:04:09 - mmengine - INFO - Epoch(val) [16][120/194] eta: 0:00:08 time: 0.1103 data_time: 0.0344 memory: 1858 2022/08/08 16:04:12 - mmengine - INFO - Epoch(val) [16][140/194] eta: 0:00:06 time: 0.1227 data_time: 0.0476 memory: 1858 2022/08/08 16:04:14 - mmengine - INFO - Epoch(val) [16][160/194] eta: 0:00:03 time: 0.0994 data_time: 0.0227 memory: 1858 2022/08/08 16:04:16 - mmengine - INFO - Epoch(val) [16][180/194] eta: 0:00:01 time: 0.0893 data_time: 0.0254 memory: 1858 2022/08/08 16:04:17 - mmengine - INFO - Epoch(val) [16][194/194] acc/top1: 0.4212 acc/top5: 0.7133 acc/mean1: 0.3448 2022/08/08 16:04:17 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:04:23 - mmengine - INFO - Epoch(train) [17][20/1320] lr: 2.0000e-03 eta: 2:51:01 time: 0.2615 data_time: 0.0502 memory: 11037 grad_norm: 10.4573 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9846 loss: 1.9846 2022/08/08 16:04:27 - mmengine - INFO - Epoch(train) [17][40/1320] lr: 2.0000e-03 eta: 2:50:56 time: 0.2224 data_time: 0.0134 memory: 11037 grad_norm: 10.4843 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9476 loss: 1.9476 2022/08/08 16:04:32 - mmengine - INFO - Epoch(train) [17][60/1320] lr: 2.0000e-03 eta: 2:50:51 time: 0.2241 data_time: 0.0126 memory: 11037 grad_norm: 10.7721 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9594 loss: 1.9594 2022/08/08 16:04:36 - mmengine - INFO - Epoch(train) [17][80/1320] lr: 2.0000e-03 eta: 2:50:47 time: 0.2257 data_time: 0.0142 memory: 11037 grad_norm: 10.1544 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8437 loss: 1.8437 2022/08/08 16:04:41 - mmengine - INFO - Epoch(train) [17][100/1320] lr: 2.0000e-03 eta: 2:50:42 time: 0.2325 data_time: 0.0165 memory: 11037 grad_norm: 10.3318 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9002 loss: 1.9002 2022/08/08 16:04:45 - mmengine - INFO - Epoch(train) [17][120/1320] lr: 2.0000e-03 eta: 2:50:37 time: 0.2229 data_time: 0.0121 memory: 11037 grad_norm: 10.4384 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8801 loss: 1.8801 2022/08/08 16:04:50 - mmengine - INFO - Epoch(train) [17][140/1320] lr: 2.0000e-03 eta: 2:50:33 time: 0.2255 data_time: 0.0140 memory: 11037 grad_norm: 10.6321 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0363 loss: 2.0363 2022/08/08 16:04:54 - mmengine - INFO - Epoch(train) [17][160/1320] lr: 2.0000e-03 eta: 2:50:28 time: 0.2250 data_time: 0.0130 memory: 11037 grad_norm: 10.6316 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8122 loss: 1.8122 2022/08/08 16:04:59 - mmengine - INFO - Epoch(train) [17][180/1320] lr: 2.0000e-03 eta: 2:50:23 time: 0.2276 data_time: 0.0134 memory: 11037 grad_norm: 10.4016 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0134 loss: 2.0134 2022/08/08 16:05:03 - mmengine - INFO - Epoch(train) [17][200/1320] lr: 2.0000e-03 eta: 2:50:19 time: 0.2310 data_time: 0.0160 memory: 11037 grad_norm: 10.2749 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9847 loss: 1.9847 2022/08/08 16:05:08 - mmengine - INFO - Epoch(train) [17][220/1320] lr: 2.0000e-03 eta: 2:50:14 time: 0.2233 data_time: 0.0125 memory: 11037 grad_norm: 10.4332 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1405 loss: 2.1405 2022/08/08 16:05:12 - mmengine - INFO - Epoch(train) [17][240/1320] lr: 2.0000e-03 eta: 2:50:09 time: 0.2232 data_time: 0.0122 memory: 11037 grad_norm: 10.2109 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8905 loss: 1.8905 2022/08/08 16:05:17 - mmengine - INFO - Epoch(train) [17][260/1320] lr: 2.0000e-03 eta: 2:50:05 time: 0.2241 data_time: 0.0145 memory: 11037 grad_norm: 10.1795 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7472 loss: 1.7472 2022/08/08 16:05:21 - mmengine - INFO - Epoch(train) [17][280/1320] lr: 2.0000e-03 eta: 2:50:00 time: 0.2280 data_time: 0.0139 memory: 11037 grad_norm: 10.5028 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8456 loss: 1.8456 2022/08/08 16:05:26 - mmengine - INFO - Epoch(train) [17][300/1320] lr: 2.0000e-03 eta: 2:49:55 time: 0.2225 data_time: 0.0138 memory: 11037 grad_norm: 10.3061 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9661 loss: 1.9661 2022/08/08 16:05:30 - mmengine - INFO - Epoch(train) [17][320/1320] lr: 2.0000e-03 eta: 2:49:50 time: 0.2240 data_time: 0.0151 memory: 11037 grad_norm: 10.4545 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0830 loss: 2.0830 2022/08/08 16:05:35 - mmengine - INFO - Epoch(train) [17][340/1320] lr: 2.0000e-03 eta: 2:49:46 time: 0.2238 data_time: 0.0128 memory: 11037 grad_norm: 10.6141 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8999 loss: 1.8999 2022/08/08 16:05:39 - mmengine - INFO - Epoch(train) [17][360/1320] lr: 2.0000e-03 eta: 2:49:41 time: 0.2271 data_time: 0.0135 memory: 11037 grad_norm: 10.1995 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9529 loss: 1.9529 2022/08/08 16:05:44 - mmengine - INFO - Epoch(train) [17][380/1320] lr: 2.0000e-03 eta: 2:49:36 time: 0.2249 data_time: 0.0148 memory: 11037 grad_norm: 10.0669 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9012 loss: 1.9012 2022/08/08 16:05:48 - mmengine - INFO - Epoch(train) [17][400/1320] lr: 2.0000e-03 eta: 2:49:31 time: 0.2231 data_time: 0.0130 memory: 11037 grad_norm: 10.5631 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0612 loss: 2.0612 2022/08/08 16:05:53 - mmengine - INFO - Epoch(train) [17][420/1320] lr: 2.0000e-03 eta: 2:49:27 time: 0.2245 data_time: 0.0157 memory: 11037 grad_norm: 10.0662 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8502 loss: 1.8502 2022/08/08 16:05:57 - mmengine - INFO - Epoch(train) [17][440/1320] lr: 2.0000e-03 eta: 2:49:22 time: 0.2242 data_time: 0.0139 memory: 11037 grad_norm: 10.3210 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9630 loss: 1.9630 2022/08/08 16:06:02 - mmengine - INFO - Epoch(train) [17][460/1320] lr: 2.0000e-03 eta: 2:49:17 time: 0.2313 data_time: 0.0161 memory: 11037 grad_norm: 10.3330 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0245 loss: 2.0245 2022/08/08 16:06:06 - mmengine - INFO - Epoch(train) [17][480/1320] lr: 2.0000e-03 eta: 2:49:13 time: 0.2243 data_time: 0.0133 memory: 11037 grad_norm: 10.3180 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1067 loss: 2.1067 2022/08/08 16:06:11 - mmengine - INFO - Epoch(train) [17][500/1320] lr: 2.0000e-03 eta: 2:49:08 time: 0.2254 data_time: 0.0141 memory: 11037 grad_norm: 10.2195 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2590 loss: 2.2590 2022/08/08 16:06:15 - mmengine - INFO - Epoch(train) [17][520/1320] lr: 2.0000e-03 eta: 2:49:03 time: 0.2231 data_time: 0.0132 memory: 11037 grad_norm: 10.2119 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9604 loss: 1.9604 2022/08/08 16:06:20 - mmengine - INFO - Epoch(train) [17][540/1320] lr: 2.0000e-03 eta: 2:48:59 time: 0.2262 data_time: 0.0146 memory: 11037 grad_norm: 10.0878 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9198 loss: 1.9198 2022/08/08 16:06:24 - mmengine - INFO - Epoch(train) [17][560/1320] lr: 2.0000e-03 eta: 2:48:54 time: 0.2243 data_time: 0.0161 memory: 11037 grad_norm: 10.4578 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0413 loss: 2.0413 2022/08/08 16:06:29 - mmengine - INFO - Epoch(train) [17][580/1320] lr: 2.0000e-03 eta: 2:48:49 time: 0.2239 data_time: 0.0129 memory: 11037 grad_norm: 10.3238 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0517 loss: 2.0517 2022/08/08 16:06:33 - mmengine - INFO - Epoch(train) [17][600/1320] lr: 2.0000e-03 eta: 2:48:44 time: 0.2238 data_time: 0.0135 memory: 11037 grad_norm: 10.3725 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8749 loss: 1.8749 2022/08/08 16:06:38 - mmengine - INFO - Epoch(train) [17][620/1320] lr: 2.0000e-03 eta: 2:48:39 time: 0.2246 data_time: 0.0143 memory: 11037 grad_norm: 10.5325 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.9370 loss: 1.9370 2022/08/08 16:06:42 - mmengine - INFO - Epoch(train) [17][640/1320] lr: 2.0000e-03 eta: 2:48:35 time: 0.2272 data_time: 0.0132 memory: 11037 grad_norm: 10.0534 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8689 loss: 1.8689 2022/08/08 16:06:47 - mmengine - INFO - Epoch(train) [17][660/1320] lr: 2.0000e-03 eta: 2:48:30 time: 0.2230 data_time: 0.0117 memory: 11037 grad_norm: 10.6353 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0556 loss: 2.0556 2022/08/08 16:06:51 - mmengine - INFO - Epoch(train) [17][680/1320] lr: 2.0000e-03 eta: 2:48:25 time: 0.2265 data_time: 0.0141 memory: 11037 grad_norm: 10.5315 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0184 loss: 2.0184 2022/08/08 16:06:56 - mmengine - INFO - Epoch(train) [17][700/1320] lr: 2.0000e-03 eta: 2:48:21 time: 0.2241 data_time: 0.0132 memory: 11037 grad_norm: 10.4290 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9226 loss: 1.9226 2022/08/08 16:07:00 - mmengine - INFO - Epoch(train) [17][720/1320] lr: 2.0000e-03 eta: 2:48:16 time: 0.2254 data_time: 0.0140 memory: 11037 grad_norm: 10.3866 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9250 loss: 1.9250 2022/08/08 16:07:05 - mmengine - INFO - Epoch(train) [17][740/1320] lr: 2.0000e-03 eta: 2:48:11 time: 0.2235 data_time: 0.0139 memory: 11037 grad_norm: 10.5824 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9239 loss: 1.9239 2022/08/08 16:07:09 - mmengine - INFO - Epoch(train) [17][760/1320] lr: 2.0000e-03 eta: 2:48:07 time: 0.2310 data_time: 0.0132 memory: 11037 grad_norm: 9.9568 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0204 loss: 2.0204 2022/08/08 16:07:14 - mmengine - INFO - Epoch(train) [17][780/1320] lr: 2.0000e-03 eta: 2:48:02 time: 0.2239 data_time: 0.0132 memory: 11037 grad_norm: 10.7358 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1651 loss: 2.1651 2022/08/08 16:07:19 - mmengine - INFO - Epoch(train) [17][800/1320] lr: 2.0000e-03 eta: 2:47:58 time: 0.2330 data_time: 0.0147 memory: 11037 grad_norm: 10.1766 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9100 loss: 1.9100 2022/08/08 16:07:23 - mmengine - INFO - Epoch(train) [17][820/1320] lr: 2.0000e-03 eta: 2:47:53 time: 0.2239 data_time: 0.0133 memory: 11037 grad_norm: 10.7961 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8639 loss: 1.8639 2022/08/08 16:07:28 - mmengine - INFO - Epoch(train) [17][840/1320] lr: 2.0000e-03 eta: 2:47:48 time: 0.2232 data_time: 0.0148 memory: 11037 grad_norm: 10.6834 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8480 loss: 1.8480 2022/08/08 16:07:32 - mmengine - INFO - Epoch(train) [17][860/1320] lr: 2.0000e-03 eta: 2:47:44 time: 0.2349 data_time: 0.0142 memory: 11037 grad_norm: 10.4341 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 1.9975 loss: 1.9975 2022/08/08 16:07:37 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:07:37 - mmengine - INFO - Epoch(train) [17][880/1320] lr: 2.0000e-03 eta: 2:47:39 time: 0.2242 data_time: 0.0138 memory: 11037 grad_norm: 10.1417 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9681 loss: 1.9681 2022/08/08 16:07:41 - mmengine - INFO - Epoch(train) [17][900/1320] lr: 2.0000e-03 eta: 2:47:34 time: 0.2232 data_time: 0.0135 memory: 11037 grad_norm: 10.2552 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0925 loss: 2.0925 2022/08/08 16:07:46 - mmengine - INFO - Epoch(train) [17][920/1320] lr: 2.0000e-03 eta: 2:47:29 time: 0.2262 data_time: 0.0153 memory: 11037 grad_norm: 9.9127 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8927 loss: 1.8927 2022/08/08 16:07:50 - mmengine - INFO - Epoch(train) [17][940/1320] lr: 2.0000e-03 eta: 2:47:25 time: 0.2359 data_time: 0.0136 memory: 11037 grad_norm: 10.4275 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0115 loss: 2.0115 2022/08/08 16:07:55 - mmengine - INFO - Epoch(train) [17][960/1320] lr: 2.0000e-03 eta: 2:47:20 time: 0.2244 data_time: 0.0145 memory: 11037 grad_norm: 10.2223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9111 loss: 1.9111 2022/08/08 16:07:59 - mmengine - INFO - Epoch(train) [17][980/1320] lr: 2.0000e-03 eta: 2:47:16 time: 0.2248 data_time: 0.0147 memory: 11037 grad_norm: 10.2174 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7966 loss: 1.7966 2022/08/08 16:08:04 - mmengine - INFO - Epoch(train) [17][1000/1320] lr: 2.0000e-03 eta: 2:47:11 time: 0.2241 data_time: 0.0133 memory: 11037 grad_norm: 10.4110 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0180 loss: 2.0180 2022/08/08 16:08:08 - mmengine - INFO - Epoch(train) [17][1020/1320] lr: 2.0000e-03 eta: 2:47:06 time: 0.2277 data_time: 0.0137 memory: 11037 grad_norm: 10.2728 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1068 loss: 2.1068 2022/08/08 16:08:13 - mmengine - INFO - Epoch(train) [17][1040/1320] lr: 2.0000e-03 eta: 2:47:02 time: 0.2260 data_time: 0.0153 memory: 11037 grad_norm: 10.1223 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9654 loss: 1.9654 2022/08/08 16:08:17 - mmengine - INFO - Epoch(train) [17][1060/1320] lr: 2.0000e-03 eta: 2:46:57 time: 0.2230 data_time: 0.0123 memory: 11037 grad_norm: 10.3415 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2946 loss: 2.2946 2022/08/08 16:08:22 - mmengine - INFO - Epoch(train) [17][1080/1320] lr: 2.0000e-03 eta: 2:46:52 time: 0.2237 data_time: 0.0132 memory: 11037 grad_norm: 10.0819 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9053 loss: 1.9053 2022/08/08 16:08:26 - mmengine - INFO - Epoch(train) [17][1100/1320] lr: 2.0000e-03 eta: 2:46:47 time: 0.2253 data_time: 0.0153 memory: 11037 grad_norm: 9.9636 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7016 loss: 1.7016 2022/08/08 16:08:31 - mmengine - INFO - Epoch(train) [17][1120/1320] lr: 2.0000e-03 eta: 2:46:43 time: 0.2257 data_time: 0.0140 memory: 11037 grad_norm: 10.1268 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0233 loss: 2.0233 2022/08/08 16:08:35 - mmengine - INFO - Epoch(train) [17][1140/1320] lr: 2.0000e-03 eta: 2:46:38 time: 0.2238 data_time: 0.0134 memory: 11037 grad_norm: 10.4023 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0929 loss: 2.0929 2022/08/08 16:08:40 - mmengine - INFO - Epoch(train) [17][1160/1320] lr: 2.0000e-03 eta: 2:46:34 time: 0.2346 data_time: 0.0153 memory: 11037 grad_norm: 10.1232 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9065 loss: 1.9065 2022/08/08 16:08:45 - mmengine - INFO - Epoch(train) [17][1180/1320] lr: 2.0000e-03 eta: 2:46:29 time: 0.2232 data_time: 0.0141 memory: 11037 grad_norm: 10.3786 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9059 loss: 1.9059 2022/08/08 16:08:49 - mmengine - INFO - Epoch(train) [17][1200/1320] lr: 2.0000e-03 eta: 2:46:24 time: 0.2255 data_time: 0.0131 memory: 11037 grad_norm: 10.7546 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0538 loss: 2.0538 2022/08/08 16:08:54 - mmengine - INFO - Epoch(train) [17][1220/1320] lr: 2.0000e-03 eta: 2:46:19 time: 0.2258 data_time: 0.0149 memory: 11037 grad_norm: 10.2151 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7816 loss: 1.7816 2022/08/08 16:08:58 - mmengine - INFO - Epoch(train) [17][1240/1320] lr: 2.0000e-03 eta: 2:46:15 time: 0.2243 data_time: 0.0128 memory: 11037 grad_norm: 10.4038 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8226 loss: 1.8226 2022/08/08 16:09:03 - mmengine - INFO - Epoch(train) [17][1260/1320] lr: 2.0000e-03 eta: 2:46:10 time: 0.2258 data_time: 0.0124 memory: 11037 grad_norm: 10.3387 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9663 loss: 1.9663 2022/08/08 16:09:07 - mmengine - INFO - Epoch(train) [17][1280/1320] lr: 2.0000e-03 eta: 2:46:05 time: 0.2253 data_time: 0.0147 memory: 11037 grad_norm: 9.5788 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7918 loss: 1.7918 2022/08/08 16:09:12 - mmengine - INFO - Epoch(train) [17][1300/1320] lr: 2.0000e-03 eta: 2:46:01 time: 0.2258 data_time: 0.0143 memory: 11037 grad_norm: 10.4694 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9869 loss: 1.9869 2022/08/08 16:09:16 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:09:16 - mmengine - INFO - Epoch(train) [17][1320/1320] lr: 2.0000e-03 eta: 2:45:56 time: 0.2142 data_time: 0.0121 memory: 11037 grad_norm: 10.4578 top1_acc: 0.4545 top5_acc: 0.8182 loss_cls: 2.0072 loss: 2.0072 2022/08/08 16:09:16 - mmengine - INFO - Saving checkpoint at 17 epochs 2022/08/08 16:09:22 - mmengine - INFO - Epoch(val) [17][20/194] eta: 0:00:28 time: 0.1617 data_time: 0.0802 memory: 1858 2022/08/08 16:09:24 - mmengine - INFO - Epoch(val) [17][40/194] eta: 0:00:17 time: 0.1110 data_time: 0.0364 memory: 1858 2022/08/08 16:09:26 - mmengine - INFO - Epoch(val) [17][60/194] eta: 0:00:16 time: 0.1225 data_time: 0.0449 memory: 1858 2022/08/08 16:09:28 - mmengine - INFO - Epoch(val) [17][80/194] eta: 0:00:12 time: 0.1059 data_time: 0.0269 memory: 1858 2022/08/08 16:09:31 - mmengine - INFO - Epoch(val) [17][100/194] eta: 0:00:10 time: 0.1163 data_time: 0.0369 memory: 1858 2022/08/08 16:09:33 - mmengine - INFO - Epoch(val) [17][120/194] eta: 0:00:07 time: 0.1064 data_time: 0.0321 memory: 1858 2022/08/08 16:09:35 - mmengine - INFO - Epoch(val) [17][140/194] eta: 0:00:06 time: 0.1251 data_time: 0.0450 memory: 1858 2022/08/08 16:09:37 - mmengine - INFO - Epoch(val) [17][160/194] eta: 0:00:03 time: 0.1008 data_time: 0.0233 memory: 1858 2022/08/08 16:09:39 - mmengine - INFO - Epoch(val) [17][180/194] eta: 0:00:01 time: 0.0885 data_time: 0.0294 memory: 1858 2022/08/08 16:09:41 - mmengine - INFO - Epoch(val) [17][194/194] acc/top1: 0.4160 acc/top5: 0.7096 acc/mean1: 0.3508 2022/08/08 16:09:41 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:09:46 - mmengine - INFO - Epoch(train) [18][20/1320] lr: 2.0000e-03 eta: 2:45:52 time: 0.2609 data_time: 0.0493 memory: 11037 grad_norm: 10.3203 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9612 loss: 1.9612 2022/08/08 16:09:51 - mmengine - INFO - Epoch(train) [18][40/1320] lr: 2.0000e-03 eta: 2:45:47 time: 0.2236 data_time: 0.0114 memory: 11037 grad_norm: 10.5120 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8711 loss: 1.8711 2022/08/08 16:09:55 - mmengine - INFO - Epoch(train) [18][60/1320] lr: 2.0000e-03 eta: 2:45:43 time: 0.2238 data_time: 0.0135 memory: 11037 grad_norm: 10.1178 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7960 loss: 1.7960 2022/08/08 16:10:00 - mmengine - INFO - Epoch(train) [18][80/1320] lr: 2.0000e-03 eta: 2:45:38 time: 0.2297 data_time: 0.0160 memory: 11037 grad_norm: 10.6091 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0089 loss: 2.0089 2022/08/08 16:10:04 - mmengine - INFO - Epoch(train) [18][100/1320] lr: 2.0000e-03 eta: 2:45:33 time: 0.2248 data_time: 0.0146 memory: 11037 grad_norm: 10.2499 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9670 loss: 1.9670 2022/08/08 16:10:09 - mmengine - INFO - Epoch(train) [18][120/1320] lr: 2.0000e-03 eta: 2:45:29 time: 0.2239 data_time: 0.0132 memory: 11037 grad_norm: 10.2865 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9555 loss: 1.9555 2022/08/08 16:10:13 - mmengine - INFO - Epoch(train) [18][140/1320] lr: 2.0000e-03 eta: 2:45:24 time: 0.2249 data_time: 0.0142 memory: 11037 grad_norm: 10.1808 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8642 loss: 1.8642 2022/08/08 16:10:18 - mmengine - INFO - Epoch(train) [18][160/1320] lr: 2.0000e-03 eta: 2:45:19 time: 0.2235 data_time: 0.0126 memory: 11037 grad_norm: 10.6102 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0412 loss: 2.0412 2022/08/08 16:10:22 - mmengine - INFO - Epoch(train) [18][180/1320] lr: 2.0000e-03 eta: 2:45:15 time: 0.2291 data_time: 0.0138 memory: 11037 grad_norm: 10.3997 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7160 loss: 1.7160 2022/08/08 16:10:27 - mmengine - INFO - Epoch(train) [18][200/1320] lr: 2.0000e-03 eta: 2:45:10 time: 0.2248 data_time: 0.0144 memory: 11037 grad_norm: 10.0666 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7564 loss: 1.7564 2022/08/08 16:10:31 - mmengine - INFO - Epoch(train) [18][220/1320] lr: 2.0000e-03 eta: 2:45:05 time: 0.2246 data_time: 0.0130 memory: 11037 grad_norm: 10.6558 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0193 loss: 2.0193 2022/08/08 16:10:36 - mmengine - INFO - Epoch(train) [18][240/1320] lr: 2.0000e-03 eta: 2:45:00 time: 0.2239 data_time: 0.0129 memory: 11037 grad_norm: 10.4406 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7716 loss: 1.7716 2022/08/08 16:10:40 - mmengine - INFO - Epoch(train) [18][260/1320] lr: 2.0000e-03 eta: 2:44:56 time: 0.2309 data_time: 0.0159 memory: 11037 grad_norm: 10.5495 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0095 loss: 2.0095 2022/08/08 16:10:45 - mmengine - INFO - Epoch(train) [18][280/1320] lr: 2.0000e-03 eta: 2:44:51 time: 0.2231 data_time: 0.0136 memory: 11037 grad_norm: 10.7426 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9059 loss: 1.9059 2022/08/08 16:10:49 - mmengine - INFO - Epoch(train) [18][300/1320] lr: 2.0000e-03 eta: 2:44:46 time: 0.2238 data_time: 0.0141 memory: 11037 grad_norm: 10.4808 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8608 loss: 1.8608 2022/08/08 16:10:54 - mmengine - INFO - Epoch(train) [18][320/1320] lr: 2.0000e-03 eta: 2:44:42 time: 0.2244 data_time: 0.0139 memory: 11037 grad_norm: 10.3689 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8735 loss: 1.8735 2022/08/08 16:10:58 - mmengine - INFO - Epoch(train) [18][340/1320] lr: 2.0000e-03 eta: 2:44:37 time: 0.2220 data_time: 0.0117 memory: 11037 grad_norm: 10.2057 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9854 loss: 1.9854 2022/08/08 16:11:03 - mmengine - INFO - Epoch(train) [18][360/1320] lr: 2.0000e-03 eta: 2:44:32 time: 0.2279 data_time: 0.0137 memory: 11037 grad_norm: 10.6335 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9817 loss: 1.9817 2022/08/08 16:11:07 - mmengine - INFO - Epoch(train) [18][380/1320] lr: 2.0000e-03 eta: 2:44:28 time: 0.2254 data_time: 0.0150 memory: 11037 grad_norm: 10.2963 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8914 loss: 1.8914 2022/08/08 16:11:12 - mmengine - INFO - Epoch(train) [18][400/1320] lr: 2.0000e-03 eta: 2:44:23 time: 0.2237 data_time: 0.0131 memory: 11037 grad_norm: 10.2265 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8077 loss: 1.8077 2022/08/08 16:11:16 - mmengine - INFO - Epoch(train) [18][420/1320] lr: 2.0000e-03 eta: 2:44:18 time: 0.2220 data_time: 0.0123 memory: 11037 grad_norm: 10.4031 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7023 loss: 1.7023 2022/08/08 16:11:21 - mmengine - INFO - Epoch(train) [18][440/1320] lr: 2.0000e-03 eta: 2:44:14 time: 0.2291 data_time: 0.0153 memory: 11037 grad_norm: 10.4767 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9734 loss: 1.9734 2022/08/08 16:11:25 - mmengine - INFO - Epoch(train) [18][460/1320] lr: 2.0000e-03 eta: 2:44:09 time: 0.2232 data_time: 0.0132 memory: 11037 grad_norm: 10.5506 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8972 loss: 1.8972 2022/08/08 16:11:30 - mmengine - INFO - Epoch(train) [18][480/1320] lr: 2.0000e-03 eta: 2:44:04 time: 0.2252 data_time: 0.0128 memory: 11037 grad_norm: 10.4838 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9707 loss: 1.9707 2022/08/08 16:11:34 - mmengine - INFO - Epoch(train) [18][500/1320] lr: 2.0000e-03 eta: 2:43:59 time: 0.2237 data_time: 0.0134 memory: 11037 grad_norm: 10.6821 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0080 loss: 2.0080 2022/08/08 16:11:39 - mmengine - INFO - Epoch(train) [18][520/1320] lr: 2.0000e-03 eta: 2:43:55 time: 0.2261 data_time: 0.0134 memory: 11037 grad_norm: 10.2753 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7431 loss: 1.7431 2022/08/08 16:11:43 - mmengine - INFO - Epoch(train) [18][540/1320] lr: 2.0000e-03 eta: 2:43:50 time: 0.2233 data_time: 0.0113 memory: 11037 grad_norm: 10.7176 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9173 loss: 1.9173 2022/08/08 16:11:48 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:11:48 - mmengine - INFO - Epoch(train) [18][560/1320] lr: 2.0000e-03 eta: 2:43:45 time: 0.2243 data_time: 0.0144 memory: 11037 grad_norm: 10.1733 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0301 loss: 2.0301 2022/08/08 16:11:52 - mmengine - INFO - Epoch(train) [18][580/1320] lr: 2.0000e-03 eta: 2:43:40 time: 0.2248 data_time: 0.0133 memory: 11037 grad_norm: 10.4374 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7020 loss: 1.7020 2022/08/08 16:11:57 - mmengine - INFO - Epoch(train) [18][600/1320] lr: 2.0000e-03 eta: 2:43:36 time: 0.2231 data_time: 0.0116 memory: 11037 grad_norm: 10.5768 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9387 loss: 1.9387 2022/08/08 16:12:01 - mmengine - INFO - Epoch(train) [18][620/1320] lr: 2.0000e-03 eta: 2:43:31 time: 0.2286 data_time: 0.0172 memory: 11037 grad_norm: 10.6207 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8119 loss: 1.8119 2022/08/08 16:12:06 - mmengine - INFO - Epoch(train) [18][640/1320] lr: 2.0000e-03 eta: 2:43:26 time: 0.2239 data_time: 0.0119 memory: 11037 grad_norm: 10.5136 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8716 loss: 1.8716 2022/08/08 16:12:10 - mmengine - INFO - Epoch(train) [18][660/1320] lr: 2.0000e-03 eta: 2:43:22 time: 0.2240 data_time: 0.0135 memory: 11037 grad_norm: 10.2462 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0515 loss: 2.0515 2022/08/08 16:12:15 - mmengine - INFO - Epoch(train) [18][680/1320] lr: 2.0000e-03 eta: 2:43:17 time: 0.2252 data_time: 0.0147 memory: 11037 grad_norm: 10.1903 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1627 loss: 2.1627 2022/08/08 16:12:19 - mmengine - INFO - Epoch(train) [18][700/1320] lr: 2.0000e-03 eta: 2:43:12 time: 0.2263 data_time: 0.0137 memory: 11037 grad_norm: 10.8045 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9475 loss: 1.9475 2022/08/08 16:12:24 - mmengine - INFO - Epoch(train) [18][720/1320] lr: 2.0000e-03 eta: 2:43:07 time: 0.2230 data_time: 0.0127 memory: 11037 grad_norm: 10.4270 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8388 loss: 1.8388 2022/08/08 16:12:28 - mmengine - INFO - Epoch(train) [18][740/1320] lr: 2.0000e-03 eta: 2:43:03 time: 0.2246 data_time: 0.0137 memory: 11037 grad_norm: 10.5310 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1795 loss: 2.1795 2022/08/08 16:12:33 - mmengine - INFO - Epoch(train) [18][760/1320] lr: 2.0000e-03 eta: 2:42:58 time: 0.2237 data_time: 0.0126 memory: 11037 grad_norm: 10.6132 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8094 loss: 1.8094 2022/08/08 16:12:37 - mmengine - INFO - Epoch(train) [18][780/1320] lr: 2.0000e-03 eta: 2:42:53 time: 0.2237 data_time: 0.0119 memory: 11037 grad_norm: 10.1090 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9296 loss: 1.9296 2022/08/08 16:12:42 - mmengine - INFO - Epoch(train) [18][800/1320] lr: 2.0000e-03 eta: 2:42:49 time: 0.2284 data_time: 0.0185 memory: 11037 grad_norm: 10.2708 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8314 loss: 1.8314 2022/08/08 16:12:46 - mmengine - INFO - Epoch(train) [18][820/1320] lr: 2.0000e-03 eta: 2:42:44 time: 0.2244 data_time: 0.0154 memory: 11037 grad_norm: 10.8468 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9213 loss: 1.9213 2022/08/08 16:12:51 - mmengine - INFO - Epoch(train) [18][840/1320] lr: 2.0000e-03 eta: 2:42:39 time: 0.2241 data_time: 0.0136 memory: 11037 grad_norm: 10.3429 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1092 loss: 2.1092 2022/08/08 16:12:55 - mmengine - INFO - Epoch(train) [18][860/1320] lr: 2.0000e-03 eta: 2:42:35 time: 0.2254 data_time: 0.0147 memory: 11037 grad_norm: 10.5120 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8928 loss: 1.8928 2022/08/08 16:13:00 - mmengine - INFO - Epoch(train) [18][880/1320] lr: 2.0000e-03 eta: 2:42:30 time: 0.2269 data_time: 0.0144 memory: 11037 grad_norm: 9.9356 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1221 loss: 2.1221 2022/08/08 16:13:04 - mmengine - INFO - Epoch(train) [18][900/1320] lr: 2.0000e-03 eta: 2:42:25 time: 0.2246 data_time: 0.0148 memory: 11037 grad_norm: 10.3434 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8303 loss: 1.8303 2022/08/08 16:13:09 - mmengine - INFO - Epoch(train) [18][920/1320] lr: 2.0000e-03 eta: 2:42:21 time: 0.2250 data_time: 0.0139 memory: 11037 grad_norm: 10.7157 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8699 loss: 1.8699 2022/08/08 16:13:13 - mmengine - INFO - Epoch(train) [18][940/1320] lr: 2.0000e-03 eta: 2:42:16 time: 0.2232 data_time: 0.0136 memory: 11037 grad_norm: 10.6232 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8168 loss: 1.8168 2022/08/08 16:13:18 - mmengine - INFO - Epoch(train) [18][960/1320] lr: 2.0000e-03 eta: 2:42:11 time: 0.2238 data_time: 0.0132 memory: 11037 grad_norm: 10.4525 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7409 loss: 1.7409 2022/08/08 16:13:22 - mmengine - INFO - Epoch(train) [18][980/1320] lr: 2.0000e-03 eta: 2:42:07 time: 0.2325 data_time: 0.0150 memory: 11037 grad_norm: 10.4055 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6616 loss: 1.6616 2022/08/08 16:13:27 - mmengine - INFO - Epoch(train) [18][1000/1320] lr: 2.0000e-03 eta: 2:42:02 time: 0.2239 data_time: 0.0124 memory: 11037 grad_norm: 10.6596 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7966 loss: 1.7966 2022/08/08 16:13:31 - mmengine - INFO - Epoch(train) [18][1020/1320] lr: 2.0000e-03 eta: 2:41:57 time: 0.2241 data_time: 0.0129 memory: 11037 grad_norm: 10.1497 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.7518 loss: 1.7518 2022/08/08 16:13:36 - mmengine - INFO - Epoch(train) [18][1040/1320] lr: 2.0000e-03 eta: 2:41:53 time: 0.2252 data_time: 0.0145 memory: 11037 grad_norm: 10.3019 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8165 loss: 1.8165 2022/08/08 16:13:40 - mmengine - INFO - Epoch(train) [18][1060/1320] lr: 2.0000e-03 eta: 2:41:48 time: 0.2268 data_time: 0.0139 memory: 11037 grad_norm: 10.3106 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9583 loss: 1.9583 2022/08/08 16:13:45 - mmengine - INFO - Epoch(train) [18][1080/1320] lr: 2.0000e-03 eta: 2:41:43 time: 0.2249 data_time: 0.0136 memory: 11037 grad_norm: 10.0425 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7649 loss: 1.7649 2022/08/08 16:13:49 - mmengine - INFO - Epoch(train) [18][1100/1320] lr: 2.0000e-03 eta: 2:41:39 time: 0.2265 data_time: 0.0153 memory: 11037 grad_norm: 10.3498 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8643 loss: 1.8643 2022/08/08 16:13:54 - mmengine - INFO - Epoch(train) [18][1120/1320] lr: 2.0000e-03 eta: 2:41:34 time: 0.2225 data_time: 0.0119 memory: 11037 grad_norm: 10.2313 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9710 loss: 1.9710 2022/08/08 16:13:58 - mmengine - INFO - Epoch(train) [18][1140/1320] lr: 2.0000e-03 eta: 2:41:29 time: 0.2234 data_time: 0.0120 memory: 11037 grad_norm: 10.6536 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8936 loss: 1.8936 2022/08/08 16:14:03 - mmengine - INFO - Epoch(train) [18][1160/1320] lr: 2.0000e-03 eta: 2:41:25 time: 0.2340 data_time: 0.0167 memory: 11037 grad_norm: 10.7593 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9019 loss: 1.9019 2022/08/08 16:14:08 - mmengine - INFO - Epoch(train) [18][1180/1320] lr: 2.0000e-03 eta: 2:41:20 time: 0.2242 data_time: 0.0129 memory: 11037 grad_norm: 10.1398 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8932 loss: 1.8932 2022/08/08 16:14:12 - mmengine - INFO - Epoch(train) [18][1200/1320] lr: 2.0000e-03 eta: 2:41:15 time: 0.2238 data_time: 0.0127 memory: 11037 grad_norm: 10.5593 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9060 loss: 1.9060 2022/08/08 16:14:16 - mmengine - INFO - Epoch(train) [18][1220/1320] lr: 2.0000e-03 eta: 2:41:10 time: 0.2243 data_time: 0.0136 memory: 11037 grad_norm: 10.1853 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8347 loss: 1.8347 2022/08/08 16:14:21 - mmengine - INFO - Epoch(train) [18][1240/1320] lr: 2.0000e-03 eta: 2:41:06 time: 0.2325 data_time: 0.0133 memory: 11037 grad_norm: 10.1137 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.8334 loss: 1.8334 2022/08/08 16:14:26 - mmengine - INFO - Epoch(train) [18][1260/1320] lr: 2.0000e-03 eta: 2:41:01 time: 0.2233 data_time: 0.0123 memory: 11037 grad_norm: 10.3265 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8200 loss: 1.8200 2022/08/08 16:14:30 - mmengine - INFO - Epoch(train) [18][1280/1320] lr: 2.0000e-03 eta: 2:40:57 time: 0.2251 data_time: 0.0145 memory: 11037 grad_norm: 10.0759 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0116 loss: 2.0116 2022/08/08 16:14:35 - mmengine - INFO - Epoch(train) [18][1300/1320] lr: 2.0000e-03 eta: 2:40:52 time: 0.2238 data_time: 0.0132 memory: 11037 grad_norm: 10.3026 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9297 loss: 1.9297 2022/08/08 16:14:39 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:14:39 - mmengine - INFO - Epoch(train) [18][1320/1320] lr: 2.0000e-03 eta: 2:40:47 time: 0.2141 data_time: 0.0114 memory: 11037 grad_norm: 10.4017 top1_acc: 0.4545 top5_acc: 0.7273 loss_cls: 1.8745 loss: 1.8745 2022/08/08 16:14:39 - mmengine - INFO - Saving checkpoint at 18 epochs 2022/08/08 16:14:45 - mmengine - INFO - Epoch(val) [18][20/194] eta: 0:00:27 time: 0.1599 data_time: 0.0811 memory: 1858 2022/08/08 16:14:47 - mmengine - INFO - Epoch(val) [18][40/194] eta: 0:00:17 time: 0.1147 data_time: 0.0330 memory: 1858 2022/08/08 16:14:49 - mmengine - INFO - Epoch(val) [18][60/194] eta: 0:00:15 time: 0.1147 data_time: 0.0338 memory: 1858 2022/08/08 16:14:51 - mmengine - INFO - Epoch(val) [18][80/194] eta: 0:00:12 time: 0.1074 data_time: 0.0291 memory: 1858 2022/08/08 16:14:54 - mmengine - INFO - Epoch(val) [18][100/194] eta: 0:00:11 time: 0.1216 data_time: 0.0412 memory: 1858 2022/08/08 16:14:56 - mmengine - INFO - Epoch(val) [18][120/194] eta: 0:00:07 time: 0.1055 data_time: 0.0278 memory: 1858 2022/08/08 16:14:58 - mmengine - INFO - Epoch(val) [18][140/194] eta: 0:00:06 time: 0.1219 data_time: 0.0454 memory: 1858 2022/08/08 16:15:01 - mmengine - INFO - Epoch(val) [18][160/194] eta: 0:00:04 time: 0.1204 data_time: 0.0489 memory: 1858 2022/08/08 16:15:02 - mmengine - INFO - Epoch(val) [18][180/194] eta: 0:00:01 time: 0.0799 data_time: 0.0209 memory: 1858 2022/08/08 16:15:04 - mmengine - INFO - Epoch(val) [18][194/194] acc/top1: 0.4359 acc/top5: 0.7221 acc/mean1: 0.3605 2022/08/08 16:15:04 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_16.pth is removed 2022/08/08 16:15:06 - mmengine - INFO - The best checkpoint with 0.4359 acc/top1 at 19 epoch is saved to best_acc/top1_epoch_19.pth. 2022/08/08 16:15:06 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:15:10 - mmengine - INFO - Epoch(train) [19][20/1320] lr: 2.0000e-03 eta: 2:40:43 time: 0.2470 data_time: 0.0414 memory: 11037 grad_norm: 10.1860 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7613 loss: 1.7613 2022/08/08 16:15:15 - mmengine - INFO - Epoch(train) [19][40/1320] lr: 2.0000e-03 eta: 2:40:38 time: 0.2240 data_time: 0.0128 memory: 11037 grad_norm: 10.7652 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7560 loss: 1.7560 2022/08/08 16:15:20 - mmengine - INFO - Epoch(train) [19][60/1320] lr: 2.0000e-03 eta: 2:40:34 time: 0.2453 data_time: 0.0158 memory: 11037 grad_norm: 10.4620 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7528 loss: 1.7528 2022/08/08 16:15:24 - mmengine - INFO - Epoch(train) [19][80/1320] lr: 2.0000e-03 eta: 2:40:30 time: 0.2246 data_time: 0.0137 memory: 11037 grad_norm: 10.6314 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8515 loss: 1.8515 2022/08/08 16:15:29 - mmengine - INFO - Epoch(train) [19][100/1320] lr: 2.0000e-03 eta: 2:40:25 time: 0.2231 data_time: 0.0130 memory: 11037 grad_norm: 10.3230 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6544 loss: 1.6544 2022/08/08 16:15:33 - mmengine - INFO - Epoch(train) [19][120/1320] lr: 2.0000e-03 eta: 2:40:20 time: 0.2249 data_time: 0.0141 memory: 11037 grad_norm: 10.3624 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9011 loss: 1.9011 2022/08/08 16:15:38 - mmengine - INFO - Epoch(train) [19][140/1320] lr: 2.0000e-03 eta: 2:40:15 time: 0.2239 data_time: 0.0117 memory: 11037 grad_norm: 10.1149 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7241 loss: 1.7241 2022/08/08 16:15:42 - mmengine - INFO - Epoch(train) [19][160/1320] lr: 2.0000e-03 eta: 2:40:11 time: 0.2300 data_time: 0.0170 memory: 11037 grad_norm: 10.3500 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9541 loss: 1.9541 2022/08/08 16:15:47 - mmengine - INFO - Epoch(train) [19][180/1320] lr: 2.0000e-03 eta: 2:40:06 time: 0.2248 data_time: 0.0152 memory: 11037 grad_norm: 10.3617 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0708 loss: 2.0708 2022/08/08 16:15:51 - mmengine - INFO - Epoch(train) [19][200/1320] lr: 2.0000e-03 eta: 2:40:01 time: 0.2229 data_time: 0.0122 memory: 11037 grad_norm: 10.1506 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9884 loss: 1.9884 2022/08/08 16:15:56 - mmengine - INFO - Epoch(train) [19][220/1320] lr: 2.0000e-03 eta: 2:39:57 time: 0.2243 data_time: 0.0146 memory: 11037 grad_norm: 10.0918 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7719 loss: 1.7719 2022/08/08 16:16:00 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:16:00 - mmengine - INFO - Epoch(train) [19][240/1320] lr: 2.0000e-03 eta: 2:39:52 time: 0.2299 data_time: 0.0154 memory: 11037 grad_norm: 10.4937 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9493 loss: 1.9493 2022/08/08 16:16:05 - mmengine - INFO - Epoch(train) [19][260/1320] lr: 2.0000e-03 eta: 2:39:47 time: 0.2236 data_time: 0.0135 memory: 11037 grad_norm: 10.5959 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0475 loss: 2.0475 2022/08/08 16:16:09 - mmengine - INFO - Epoch(train) [19][280/1320] lr: 2.0000e-03 eta: 2:39:43 time: 0.2262 data_time: 0.0134 memory: 11037 grad_norm: 10.2375 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8071 loss: 1.8071 2022/08/08 16:16:14 - mmengine - INFO - Epoch(train) [19][300/1320] lr: 2.0000e-03 eta: 2:39:38 time: 0.2240 data_time: 0.0145 memory: 11037 grad_norm: 10.4356 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8396 loss: 1.8396 2022/08/08 16:16:18 - mmengine - INFO - Epoch(train) [19][320/1320] lr: 2.0000e-03 eta: 2:39:33 time: 0.2231 data_time: 0.0129 memory: 11037 grad_norm: 10.6385 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0589 loss: 2.0589 2022/08/08 16:16:23 - mmengine - INFO - Epoch(train) [19][340/1320] lr: 2.0000e-03 eta: 2:39:29 time: 0.2309 data_time: 0.0156 memory: 11037 grad_norm: 10.3669 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8655 loss: 1.8655 2022/08/08 16:16:27 - mmengine - INFO - Epoch(train) [19][360/1320] lr: 2.0000e-03 eta: 2:39:24 time: 0.2225 data_time: 0.0133 memory: 11037 grad_norm: 10.4682 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8591 loss: 1.8591 2022/08/08 16:16:32 - mmengine - INFO - Epoch(train) [19][380/1320] lr: 2.0000e-03 eta: 2:39:19 time: 0.2269 data_time: 0.0138 memory: 11037 grad_norm: 10.6438 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8655 loss: 1.8655 2022/08/08 16:16:36 - mmengine - INFO - Epoch(train) [19][400/1320] lr: 2.0000e-03 eta: 2:39:15 time: 0.2242 data_time: 0.0131 memory: 11037 grad_norm: 10.2165 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9234 loss: 1.9234 2022/08/08 16:16:41 - mmengine - INFO - Epoch(train) [19][420/1320] lr: 2.0000e-03 eta: 2:39:10 time: 0.2242 data_time: 0.0132 memory: 11037 grad_norm: 10.3463 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8621 loss: 1.8621 2022/08/08 16:16:45 - mmengine - INFO - Epoch(train) [19][440/1320] lr: 2.0000e-03 eta: 2:39:05 time: 0.2225 data_time: 0.0128 memory: 11037 grad_norm: 10.3760 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0648 loss: 2.0648 2022/08/08 16:16:50 - mmengine - INFO - Epoch(train) [19][460/1320] lr: 2.0000e-03 eta: 2:39:01 time: 0.2277 data_time: 0.0137 memory: 11037 grad_norm: 10.5854 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.0433 loss: 2.0433 2022/08/08 16:16:54 - mmengine - INFO - Epoch(train) [19][480/1320] lr: 2.0000e-03 eta: 2:38:56 time: 0.2240 data_time: 0.0142 memory: 11037 grad_norm: 10.3034 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9282 loss: 1.9282 2022/08/08 16:16:59 - mmengine - INFO - Epoch(train) [19][500/1320] lr: 2.0000e-03 eta: 2:38:51 time: 0.2236 data_time: 0.0127 memory: 11037 grad_norm: 10.4617 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9577 loss: 1.9577 2022/08/08 16:17:04 - mmengine - INFO - Epoch(train) [19][520/1320] lr: 2.0000e-03 eta: 2:38:47 time: 0.2279 data_time: 0.0138 memory: 11037 grad_norm: 10.6198 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7037 loss: 1.7037 2022/08/08 16:17:08 - mmengine - INFO - Epoch(train) [19][540/1320] lr: 2.0000e-03 eta: 2:38:42 time: 0.2252 data_time: 0.0145 memory: 11037 grad_norm: 10.1807 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9251 loss: 1.9251 2022/08/08 16:17:13 - mmengine - INFO - Epoch(train) [19][560/1320] lr: 2.0000e-03 eta: 2:38:37 time: 0.2275 data_time: 0.0139 memory: 11037 grad_norm: 10.7309 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.8974 loss: 1.8974 2022/08/08 16:17:17 - mmengine - INFO - Epoch(train) [19][580/1320] lr: 2.0000e-03 eta: 2:38:33 time: 0.2231 data_time: 0.0144 memory: 11037 grad_norm: 10.3320 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8301 loss: 1.8301 2022/08/08 16:17:22 - mmengine - INFO - Epoch(train) [19][600/1320] lr: 2.0000e-03 eta: 2:38:28 time: 0.2279 data_time: 0.0155 memory: 11037 grad_norm: 10.3363 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.8319 loss: 1.8319 2022/08/08 16:17:26 - mmengine - INFO - Epoch(train) [19][620/1320] lr: 2.0000e-03 eta: 2:38:23 time: 0.2225 data_time: 0.0128 memory: 11037 grad_norm: 10.3843 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8203 loss: 1.8203 2022/08/08 16:17:31 - mmengine - INFO - Epoch(train) [19][640/1320] lr: 2.0000e-03 eta: 2:38:18 time: 0.2238 data_time: 0.0136 memory: 11037 grad_norm: 10.3535 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8586 loss: 1.8586 2022/08/08 16:17:35 - mmengine - INFO - Epoch(train) [19][660/1320] lr: 2.0000e-03 eta: 2:38:14 time: 0.2262 data_time: 0.0153 memory: 11037 grad_norm: 10.2335 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0306 loss: 2.0306 2022/08/08 16:17:40 - mmengine - INFO - Epoch(train) [19][680/1320] lr: 2.0000e-03 eta: 2:38:09 time: 0.2260 data_time: 0.0129 memory: 11037 grad_norm: 10.2639 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0477 loss: 2.0477 2022/08/08 16:17:44 - mmengine - INFO - Epoch(train) [19][700/1320] lr: 2.0000e-03 eta: 2:38:05 time: 0.2253 data_time: 0.0134 memory: 11037 grad_norm: 10.2441 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7860 loss: 1.7860 2022/08/08 16:17:49 - mmengine - INFO - Epoch(train) [19][720/1320] lr: 2.0000e-03 eta: 2:38:00 time: 0.2253 data_time: 0.0148 memory: 11037 grad_norm: 10.4837 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9771 loss: 1.9771 2022/08/08 16:17:53 - mmengine - INFO - Epoch(train) [19][740/1320] lr: 2.0000e-03 eta: 2:37:55 time: 0.2259 data_time: 0.0141 memory: 11037 grad_norm: 10.4093 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 1.9841 loss: 1.9841 2022/08/08 16:17:58 - mmengine - INFO - Epoch(train) [19][760/1320] lr: 2.0000e-03 eta: 2:37:51 time: 0.2243 data_time: 0.0140 memory: 11037 grad_norm: 10.4149 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.0397 loss: 2.0397 2022/08/08 16:18:02 - mmengine - INFO - Epoch(train) [19][780/1320] lr: 2.0000e-03 eta: 2:37:46 time: 0.2262 data_time: 0.0145 memory: 11037 grad_norm: 10.1155 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9628 loss: 1.9628 2022/08/08 16:18:07 - mmengine - INFO - Epoch(train) [19][800/1320] lr: 2.0000e-03 eta: 2:37:41 time: 0.2305 data_time: 0.0120 memory: 11037 grad_norm: 10.4630 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9569 loss: 1.9569 2022/08/08 16:18:11 - mmengine - INFO - Epoch(train) [19][820/1320] lr: 2.0000e-03 eta: 2:37:37 time: 0.2249 data_time: 0.0135 memory: 11037 grad_norm: 10.6361 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6913 loss: 1.6913 2022/08/08 16:18:16 - mmengine - INFO - Epoch(train) [19][840/1320] lr: 2.0000e-03 eta: 2:37:32 time: 0.2233 data_time: 0.0151 memory: 11037 grad_norm: 10.1966 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0291 loss: 2.0291 2022/08/08 16:18:20 - mmengine - INFO - Epoch(train) [19][860/1320] lr: 2.0000e-03 eta: 2:37:27 time: 0.2270 data_time: 0.0133 memory: 11037 grad_norm: 10.5578 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9220 loss: 1.9220 2022/08/08 16:18:25 - mmengine - INFO - Epoch(train) [19][880/1320] lr: 2.0000e-03 eta: 2:37:23 time: 0.2243 data_time: 0.0143 memory: 11037 grad_norm: 10.3437 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7650 loss: 1.7650 2022/08/08 16:18:29 - mmengine - INFO - Epoch(train) [19][900/1320] lr: 2.0000e-03 eta: 2:37:18 time: 0.2247 data_time: 0.0154 memory: 11037 grad_norm: 10.6239 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8326 loss: 1.8326 2022/08/08 16:18:34 - mmengine - INFO - Epoch(train) [19][920/1320] lr: 2.0000e-03 eta: 2:37:13 time: 0.2249 data_time: 0.0125 memory: 11037 grad_norm: 10.4581 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9945 loss: 1.9945 2022/08/08 16:18:38 - mmengine - INFO - Epoch(train) [19][940/1320] lr: 2.0000e-03 eta: 2:37:09 time: 0.2252 data_time: 0.0135 memory: 11037 grad_norm: 10.5875 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9477 loss: 1.9477 2022/08/08 16:18:43 - mmengine - INFO - Epoch(train) [19][960/1320] lr: 2.0000e-03 eta: 2:37:04 time: 0.2269 data_time: 0.0155 memory: 11037 grad_norm: 10.2210 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.9907 loss: 1.9907 2022/08/08 16:18:47 - mmengine - INFO - Epoch(train) [19][980/1320] lr: 2.0000e-03 eta: 2:36:59 time: 0.2236 data_time: 0.0120 memory: 11037 grad_norm: 10.5854 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8515 loss: 1.8515 2022/08/08 16:18:52 - mmengine - INFO - Epoch(train) [19][1000/1320] lr: 2.0000e-03 eta: 2:36:55 time: 0.2273 data_time: 0.0142 memory: 11037 grad_norm: 10.6001 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7970 loss: 1.7970 2022/08/08 16:18:56 - mmengine - INFO - Epoch(train) [19][1020/1320] lr: 2.0000e-03 eta: 2:36:50 time: 0.2241 data_time: 0.0149 memory: 11037 grad_norm: 10.2652 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0515 loss: 2.0515 2022/08/08 16:19:01 - mmengine - INFO - Epoch(train) [19][1040/1320] lr: 2.0000e-03 eta: 2:36:45 time: 0.2264 data_time: 0.0136 memory: 11037 grad_norm: 10.4528 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7644 loss: 1.7644 2022/08/08 16:19:05 - mmengine - INFO - Epoch(train) [19][1060/1320] lr: 2.0000e-03 eta: 2:36:41 time: 0.2252 data_time: 0.0140 memory: 11037 grad_norm: 10.3341 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9588 loss: 1.9588 2022/08/08 16:19:10 - mmengine - INFO - Epoch(train) [19][1080/1320] lr: 2.0000e-03 eta: 2:36:36 time: 0.2253 data_time: 0.0144 memory: 11037 grad_norm: 10.0313 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0689 loss: 2.0689 2022/08/08 16:19:14 - mmengine - INFO - Epoch(train) [19][1100/1320] lr: 2.0000e-03 eta: 2:36:31 time: 0.2245 data_time: 0.0139 memory: 11037 grad_norm: 10.7327 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.1440 loss: 2.1440 2022/08/08 16:19:19 - mmengine - INFO - Epoch(train) [19][1120/1320] lr: 2.0000e-03 eta: 2:36:27 time: 0.2250 data_time: 0.0137 memory: 11037 grad_norm: 10.3149 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8115 loss: 1.8115 2022/08/08 16:19:23 - mmengine - INFO - Epoch(train) [19][1140/1320] lr: 2.0000e-03 eta: 2:36:22 time: 0.2289 data_time: 0.0147 memory: 11037 grad_norm: 10.0844 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8870 loss: 1.8870 2022/08/08 16:19:28 - mmengine - INFO - Epoch(train) [19][1160/1320] lr: 2.0000e-03 eta: 2:36:17 time: 0.2228 data_time: 0.0133 memory: 11037 grad_norm: 10.4086 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9963 loss: 1.9963 2022/08/08 16:19:32 - mmengine - INFO - Epoch(train) [19][1180/1320] lr: 2.0000e-03 eta: 2:36:13 time: 0.2250 data_time: 0.0157 memory: 11037 grad_norm: 10.4403 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9066 loss: 1.9066 2022/08/08 16:19:37 - mmengine - INFO - Epoch(train) [19][1200/1320] lr: 2.0000e-03 eta: 2:36:08 time: 0.2259 data_time: 0.0146 memory: 11037 grad_norm: 10.3180 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9859 loss: 1.9859 2022/08/08 16:19:41 - mmengine - INFO - Epoch(train) [19][1220/1320] lr: 2.0000e-03 eta: 2:36:03 time: 0.2259 data_time: 0.0133 memory: 11037 grad_norm: 10.2414 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7104 loss: 1.7104 2022/08/08 16:19:46 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:19:46 - mmengine - INFO - Epoch(train) [19][1240/1320] lr: 2.0000e-03 eta: 2:35:59 time: 0.2241 data_time: 0.0131 memory: 11037 grad_norm: 10.3385 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9799 loss: 1.9799 2022/08/08 16:19:50 - mmengine - INFO - Epoch(train) [19][1260/1320] lr: 2.0000e-03 eta: 2:35:54 time: 0.2272 data_time: 0.0140 memory: 11037 grad_norm: 10.3418 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8822 loss: 1.8822 2022/08/08 16:19:55 - mmengine - INFO - Epoch(train) [19][1280/1320] lr: 2.0000e-03 eta: 2:35:49 time: 0.2239 data_time: 0.0141 memory: 11037 grad_norm: 10.1091 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8457 loss: 1.8457 2022/08/08 16:19:59 - mmengine - INFO - Epoch(train) [19][1300/1320] lr: 2.0000e-03 eta: 2:35:45 time: 0.2234 data_time: 0.0134 memory: 11037 grad_norm: 10.6042 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9486 loss: 1.9486 2022/08/08 16:20:04 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:20:04 - mmengine - INFO - Epoch(train) [19][1320/1320] lr: 2.0000e-03 eta: 2:35:40 time: 0.2156 data_time: 0.0144 memory: 11037 grad_norm: 10.8919 top1_acc: 0.4545 top5_acc: 0.6364 loss_cls: 2.0010 loss: 2.0010 2022/08/08 16:20:04 - mmengine - INFO - Saving checkpoint at 19 epochs 2022/08/08 16:20:09 - mmengine - INFO - Epoch(val) [19][20/194] eta: 0:00:28 time: 0.1637 data_time: 0.0867 memory: 1858 2022/08/08 16:20:12 - mmengine - INFO - Epoch(val) [19][40/194] eta: 0:00:17 time: 0.1112 data_time: 0.0364 memory: 1858 2022/08/08 16:20:14 - mmengine - INFO - Epoch(val) [19][60/194] eta: 0:00:15 time: 0.1171 data_time: 0.0399 memory: 1858 2022/08/08 16:20:16 - mmengine - INFO - Epoch(val) [19][80/194] eta: 0:00:12 time: 0.1102 data_time: 0.0349 memory: 1858 2022/08/08 16:20:19 - mmengine - INFO - Epoch(val) [19][100/194] eta: 0:00:11 time: 0.1200 data_time: 0.0438 memory: 1858 2022/08/08 16:20:21 - mmengine - INFO - Epoch(val) [19][120/194] eta: 0:00:08 time: 0.1150 data_time: 0.0363 memory: 1858 2022/08/08 16:20:23 - mmengine - INFO - Epoch(val) [19][140/194] eta: 0:00:06 time: 0.1211 data_time: 0.0424 memory: 1858 2022/08/08 16:20:25 - mmengine - INFO - Epoch(val) [19][160/194] eta: 0:00:03 time: 0.1028 data_time: 0.0257 memory: 1858 2022/08/08 16:20:27 - mmengine - INFO - Epoch(val) [19][180/194] eta: 0:00:01 time: 0.0827 data_time: 0.0216 memory: 1858 2022/08/08 16:20:29 - mmengine - INFO - Epoch(val) [19][194/194] acc/top1: 0.4277 acc/top5: 0.7157 acc/mean1: 0.3469 2022/08/08 16:20:29 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:20:34 - mmengine - INFO - Epoch(train) [20][20/1320] lr: 2.0000e-03 eta: 2:35:36 time: 0.2642 data_time: 0.0447 memory: 11037 grad_norm: 10.5214 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9936 loss: 1.9936 2022/08/08 16:20:39 - mmengine - INFO - Epoch(train) [20][40/1320] lr: 2.0000e-03 eta: 2:35:32 time: 0.2238 data_time: 0.0134 memory: 11037 grad_norm: 10.5007 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7875 loss: 1.7875 2022/08/08 16:20:43 - mmengine - INFO - Epoch(train) [20][60/1320] lr: 2.0000e-03 eta: 2:35:27 time: 0.2258 data_time: 0.0150 memory: 11037 grad_norm: 10.2459 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8237 loss: 1.8237 2022/08/08 16:20:48 - mmengine - INFO - Epoch(train) [20][80/1320] lr: 2.0000e-03 eta: 2:35:22 time: 0.2247 data_time: 0.0144 memory: 11037 grad_norm: 10.5897 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9250 loss: 1.9250 2022/08/08 16:20:52 - mmengine - INFO - Epoch(train) [20][100/1320] lr: 2.0000e-03 eta: 2:35:18 time: 0.2236 data_time: 0.0123 memory: 11037 grad_norm: 10.3059 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8100 loss: 1.8100 2022/08/08 16:20:57 - mmengine - INFO - Epoch(train) [20][120/1320] lr: 2.0000e-03 eta: 2:35:13 time: 0.2235 data_time: 0.0132 memory: 11037 grad_norm: 10.3431 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8847 loss: 1.8847 2022/08/08 16:21:01 - mmengine - INFO - Epoch(train) [20][140/1320] lr: 2.0000e-03 eta: 2:35:08 time: 0.2279 data_time: 0.0147 memory: 11037 grad_norm: 10.6314 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7993 loss: 1.7993 2022/08/08 16:21:06 - mmengine - INFO - Epoch(train) [20][160/1320] lr: 2.0000e-03 eta: 2:35:04 time: 0.2295 data_time: 0.0147 memory: 11037 grad_norm: 10.4132 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8773 loss: 1.8773 2022/08/08 16:21:10 - mmengine - INFO - Epoch(train) [20][180/1320] lr: 2.0000e-03 eta: 2:34:59 time: 0.2231 data_time: 0.0108 memory: 11037 grad_norm: 10.4787 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7259 loss: 1.7259 2022/08/08 16:21:15 - mmengine - INFO - Epoch(train) [20][200/1320] lr: 2.0000e-03 eta: 2:34:54 time: 0.2251 data_time: 0.0137 memory: 11037 grad_norm: 10.2679 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7305 loss: 1.7305 2022/08/08 16:21:19 - mmengine - INFO - Epoch(train) [20][220/1320] lr: 2.0000e-03 eta: 2:34:50 time: 0.2230 data_time: 0.0148 memory: 11037 grad_norm: 10.4927 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 1.7822 loss: 1.7822 2022/08/08 16:21:24 - mmengine - INFO - Epoch(train) [20][240/1320] lr: 2.0000e-03 eta: 2:34:45 time: 0.2337 data_time: 0.0124 memory: 11037 grad_norm: 10.5251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7622 loss: 1.7622 2022/08/08 16:21:28 - mmengine - INFO - Epoch(train) [20][260/1320] lr: 2.0000e-03 eta: 2:34:41 time: 0.2256 data_time: 0.0144 memory: 11037 grad_norm: 10.3694 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7809 loss: 1.7809 2022/08/08 16:21:33 - mmengine - INFO - Epoch(train) [20][280/1320] lr: 2.0000e-03 eta: 2:34:36 time: 0.2236 data_time: 0.0122 memory: 11037 grad_norm: 10.4139 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8831 loss: 1.8831 2022/08/08 16:21:37 - mmengine - INFO - Epoch(train) [20][300/1320] lr: 2.0000e-03 eta: 2:34:31 time: 0.2240 data_time: 0.0116 memory: 11037 grad_norm: 10.7337 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.9342 loss: 1.9342 2022/08/08 16:21:42 - mmengine - INFO - Epoch(train) [20][320/1320] lr: 2.0000e-03 eta: 2:34:27 time: 0.2280 data_time: 0.0152 memory: 11037 grad_norm: 10.3558 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6690 loss: 1.6690 2022/08/08 16:21:46 - mmengine - INFO - Epoch(train) [20][340/1320] lr: 2.0000e-03 eta: 2:34:22 time: 0.2237 data_time: 0.0131 memory: 11037 grad_norm: 10.4077 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8318 loss: 1.8318 2022/08/08 16:21:51 - mmengine - INFO - Epoch(train) [20][360/1320] lr: 2.0000e-03 eta: 2:34:17 time: 0.2255 data_time: 0.0130 memory: 11037 grad_norm: 10.3626 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9278 loss: 1.9278 2022/08/08 16:21:55 - mmengine - INFO - Epoch(train) [20][380/1320] lr: 2.0000e-03 eta: 2:34:12 time: 0.2240 data_time: 0.0145 memory: 11037 grad_norm: 10.6348 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9334 loss: 1.9334 2022/08/08 16:22:00 - mmengine - INFO - Epoch(train) [20][400/1320] lr: 2.0000e-03 eta: 2:34:08 time: 0.2267 data_time: 0.0136 memory: 11037 grad_norm: 9.9746 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7677 loss: 1.7677 2022/08/08 16:22:04 - mmengine - INFO - Epoch(train) [20][420/1320] lr: 2.0000e-03 eta: 2:34:03 time: 0.2246 data_time: 0.0117 memory: 11037 grad_norm: 10.2636 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7789 loss: 1.7789 2022/08/08 16:22:09 - mmengine - INFO - Epoch(train) [20][440/1320] lr: 2.0000e-03 eta: 2:33:58 time: 0.2245 data_time: 0.0140 memory: 11037 grad_norm: 10.5933 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8963 loss: 1.8963 2022/08/08 16:22:13 - mmengine - INFO - Epoch(train) [20][460/1320] lr: 2.0000e-03 eta: 2:33:54 time: 0.2246 data_time: 0.0138 memory: 11037 grad_norm: 10.4241 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8283 loss: 1.8283 2022/08/08 16:22:18 - mmengine - INFO - Epoch(train) [20][480/1320] lr: 2.0000e-03 eta: 2:33:49 time: 0.2233 data_time: 0.0125 memory: 11037 grad_norm: 10.3458 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9278 loss: 1.9278 2022/08/08 16:22:22 - mmengine - INFO - Epoch(train) [20][500/1320] lr: 2.0000e-03 eta: 2:33:44 time: 0.2252 data_time: 0.0140 memory: 11037 grad_norm: 10.5412 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9018 loss: 1.9018 2022/08/08 16:22:27 - mmengine - INFO - Epoch(train) [20][520/1320] lr: 2.0000e-03 eta: 2:33:40 time: 0.2239 data_time: 0.0120 memory: 11037 grad_norm: 10.3873 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0345 loss: 2.0345 2022/08/08 16:22:31 - mmengine - INFO - Epoch(train) [20][540/1320] lr: 2.0000e-03 eta: 2:33:35 time: 0.2291 data_time: 0.0142 memory: 11037 grad_norm: 10.3678 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8835 loss: 1.8835 2022/08/08 16:22:36 - mmengine - INFO - Epoch(train) [20][560/1320] lr: 2.0000e-03 eta: 2:33:31 time: 0.2245 data_time: 0.0145 memory: 11037 grad_norm: 10.3217 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7556 loss: 1.7556 2022/08/08 16:22:40 - mmengine - INFO - Epoch(train) [20][580/1320] lr: 2.0000e-03 eta: 2:33:26 time: 0.2234 data_time: 0.0125 memory: 11037 grad_norm: 10.3618 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8921 loss: 1.8921 2022/08/08 16:22:45 - mmengine - INFO - Epoch(train) [20][600/1320] lr: 2.0000e-03 eta: 2:33:21 time: 0.2254 data_time: 0.0143 memory: 11037 grad_norm: 10.3311 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0135 loss: 2.0135 2022/08/08 16:22:49 - mmengine - INFO - Epoch(train) [20][620/1320] lr: 2.0000e-03 eta: 2:33:16 time: 0.2252 data_time: 0.0139 memory: 11037 grad_norm: 10.0276 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7744 loss: 1.7744 2022/08/08 16:22:54 - mmengine - INFO - Epoch(train) [20][640/1320] lr: 2.0000e-03 eta: 2:33:12 time: 0.2255 data_time: 0.0133 memory: 11037 grad_norm: 10.5282 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9732 loss: 1.9732 2022/08/08 16:22:58 - mmengine - INFO - Epoch(train) [20][660/1320] lr: 2.0000e-03 eta: 2:33:07 time: 0.2243 data_time: 0.0128 memory: 11037 grad_norm: 10.3041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6041 loss: 1.6041 2022/08/08 16:23:03 - mmengine - INFO - Epoch(train) [20][680/1320] lr: 2.0000e-03 eta: 2:33:03 time: 0.2260 data_time: 0.0149 memory: 11037 grad_norm: 11.0098 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8375 loss: 1.8375 2022/08/08 16:23:07 - mmengine - INFO - Epoch(train) [20][700/1320] lr: 2.0000e-03 eta: 2:32:58 time: 0.2239 data_time: 0.0155 memory: 11037 grad_norm: 10.4434 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8339 loss: 1.8339 2022/08/08 16:23:12 - mmengine - INFO - Epoch(train) [20][720/1320] lr: 2.0000e-03 eta: 2:32:53 time: 0.2279 data_time: 0.0136 memory: 11037 grad_norm: 10.5552 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8834 loss: 1.8834 2022/08/08 16:23:16 - mmengine - INFO - Epoch(train) [20][740/1320] lr: 2.0000e-03 eta: 2:32:49 time: 0.2250 data_time: 0.0149 memory: 11037 grad_norm: 10.2194 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8901 loss: 1.8901 2022/08/08 16:23:21 - mmengine - INFO - Epoch(train) [20][760/1320] lr: 2.0000e-03 eta: 2:32:44 time: 0.2262 data_time: 0.0138 memory: 11037 grad_norm: 10.5619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9058 loss: 1.9058 2022/08/08 16:23:25 - mmengine - INFO - Epoch(train) [20][780/1320] lr: 2.0000e-03 eta: 2:32:39 time: 0.2236 data_time: 0.0124 memory: 11037 grad_norm: 10.2702 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.1732 loss: 2.1732 2022/08/08 16:23:30 - mmengine - INFO - Epoch(train) [20][800/1320] lr: 2.0000e-03 eta: 2:32:35 time: 0.2265 data_time: 0.0146 memory: 11037 grad_norm: 10.6851 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8369 loss: 1.8369 2022/08/08 16:23:34 - mmengine - INFO - Epoch(train) [20][820/1320] lr: 2.0000e-03 eta: 2:32:30 time: 0.2254 data_time: 0.0155 memory: 11037 grad_norm: 10.2563 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9436 loss: 1.9436 2022/08/08 16:23:39 - mmengine - INFO - Epoch(train) [20][840/1320] lr: 2.0000e-03 eta: 2:32:25 time: 0.2223 data_time: 0.0127 memory: 11037 grad_norm: 10.0082 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9863 loss: 1.9863 2022/08/08 16:23:43 - mmengine - INFO - Epoch(train) [20][860/1320] lr: 2.0000e-03 eta: 2:32:21 time: 0.2264 data_time: 0.0148 memory: 11037 grad_norm: 10.6574 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7642 loss: 1.7642 2022/08/08 16:23:48 - mmengine - INFO - Epoch(train) [20][880/1320] lr: 2.0000e-03 eta: 2:32:16 time: 0.2242 data_time: 0.0134 memory: 11037 grad_norm: 10.4949 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8410 loss: 1.8410 2022/08/08 16:23:52 - mmengine - INFO - Epoch(train) [20][900/1320] lr: 2.0000e-03 eta: 2:32:11 time: 0.2271 data_time: 0.0122 memory: 11037 grad_norm: 10.2736 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9371 loss: 1.9371 2022/08/08 16:23:57 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:23:57 - mmengine - INFO - Epoch(train) [20][920/1320] lr: 2.0000e-03 eta: 2:32:07 time: 0.2255 data_time: 0.0153 memory: 11037 grad_norm: 10.5204 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9885 loss: 1.9885 2022/08/08 16:24:02 - mmengine - INFO - Epoch(train) [20][940/1320] lr: 2.0000e-03 eta: 2:32:02 time: 0.2275 data_time: 0.0138 memory: 11037 grad_norm: 10.4255 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8240 loss: 1.8240 2022/08/08 16:24:06 - mmengine - INFO - Epoch(train) [20][960/1320] lr: 2.0000e-03 eta: 2:31:57 time: 0.2241 data_time: 0.0116 memory: 11037 grad_norm: 10.7200 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9997 loss: 1.9997 2022/08/08 16:24:10 - mmengine - INFO - Epoch(train) [20][980/1320] lr: 2.0000e-03 eta: 2:31:53 time: 0.2241 data_time: 0.0147 memory: 11037 grad_norm: 10.1646 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.8648 loss: 1.8648 2022/08/08 16:24:15 - mmengine - INFO - Epoch(train) [20][1000/1320] lr: 2.0000e-03 eta: 2:31:48 time: 0.2269 data_time: 0.0142 memory: 11037 grad_norm: 10.3851 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0088 loss: 2.0088 2022/08/08 16:24:19 - mmengine - INFO - Epoch(train) [20][1020/1320] lr: 2.0000e-03 eta: 2:31:43 time: 0.2238 data_time: 0.0132 memory: 11037 grad_norm: 10.3806 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9678 loss: 1.9678 2022/08/08 16:24:24 - mmengine - INFO - Epoch(train) [20][1040/1320] lr: 2.0000e-03 eta: 2:31:39 time: 0.2283 data_time: 0.0171 memory: 11037 grad_norm: 10.1394 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9110 loss: 1.9110 2022/08/08 16:24:29 - mmengine - INFO - Epoch(train) [20][1060/1320] lr: 2.0000e-03 eta: 2:31:34 time: 0.2242 data_time: 0.0130 memory: 11037 grad_norm: 10.5472 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1019 loss: 2.1019 2022/08/08 16:24:33 - mmengine - INFO - Epoch(train) [20][1080/1320] lr: 2.0000e-03 eta: 2:31:29 time: 0.2226 data_time: 0.0123 memory: 11037 grad_norm: 10.4788 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6947 loss: 1.6947 2022/08/08 16:24:38 - mmengine - INFO - Epoch(train) [20][1100/1320] lr: 2.0000e-03 eta: 2:31:25 time: 0.2252 data_time: 0.0142 memory: 11037 grad_norm: 10.1220 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7477 loss: 1.7477 2022/08/08 16:24:42 - mmengine - INFO - Epoch(train) [20][1120/1320] lr: 2.0000e-03 eta: 2:31:20 time: 0.2272 data_time: 0.0139 memory: 11037 grad_norm: 10.1331 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9621 loss: 1.9621 2022/08/08 16:24:47 - mmengine - INFO - Epoch(train) [20][1140/1320] lr: 2.0000e-03 eta: 2:31:15 time: 0.2231 data_time: 0.0127 memory: 11037 grad_norm: 10.2080 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0189 loss: 2.0189 2022/08/08 16:24:51 - mmengine - INFO - Epoch(train) [20][1160/1320] lr: 2.0000e-03 eta: 2:31:11 time: 0.2243 data_time: 0.0142 memory: 11037 grad_norm: 10.2268 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6833 loss: 1.6833 2022/08/08 16:24:55 - mmengine - INFO - Epoch(train) [20][1180/1320] lr: 2.0000e-03 eta: 2:31:06 time: 0.2237 data_time: 0.0135 memory: 11037 grad_norm: 10.5269 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9224 loss: 1.9224 2022/08/08 16:25:00 - mmengine - INFO - Epoch(train) [20][1200/1320] lr: 2.0000e-03 eta: 2:31:01 time: 0.2243 data_time: 0.0131 memory: 11037 grad_norm: 10.2299 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9055 loss: 1.9055 2022/08/08 16:25:05 - mmengine - INFO - Epoch(train) [20][1220/1320] lr: 2.0000e-03 eta: 2:30:57 time: 0.2274 data_time: 0.0158 memory: 11037 grad_norm: 10.1380 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8875 loss: 1.8875 2022/08/08 16:25:09 - mmengine - INFO - Epoch(train) [20][1240/1320] lr: 2.0000e-03 eta: 2:30:52 time: 0.2234 data_time: 0.0126 memory: 11037 grad_norm: 10.1173 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.9223 loss: 1.9223 2022/08/08 16:25:14 - mmengine - INFO - Epoch(train) [20][1260/1320] lr: 2.0000e-03 eta: 2:30:47 time: 0.2253 data_time: 0.0133 memory: 11037 grad_norm: 10.5744 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9746 loss: 1.9746 2022/08/08 16:25:18 - mmengine - INFO - Epoch(train) [20][1280/1320] lr: 2.0000e-03 eta: 2:30:43 time: 0.2245 data_time: 0.0140 memory: 11037 grad_norm: 10.4826 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9572 loss: 1.9572 2022/08/08 16:25:23 - mmengine - INFO - Epoch(train) [20][1300/1320] lr: 2.0000e-03 eta: 2:30:39 time: 0.2412 data_time: 0.0135 memory: 11037 grad_norm: 10.4755 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9156 loss: 1.9156 2022/08/08 16:25:27 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:25:27 - mmengine - INFO - Epoch(train) [20][1320/1320] lr: 2.0000e-03 eta: 2:30:34 time: 0.2251 data_time: 0.0147 memory: 11037 grad_norm: 9.9713 top1_acc: 0.6364 top5_acc: 0.9091 loss_cls: 2.0048 loss: 2.0048 2022/08/08 16:25:27 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/08/08 16:25:33 - mmengine - INFO - Epoch(val) [20][20/194] eta: 0:00:28 time: 0.1610 data_time: 0.0835 memory: 1858 2022/08/08 16:25:35 - mmengine - INFO - Epoch(val) [20][40/194] eta: 0:00:16 time: 0.1090 data_time: 0.0355 memory: 1858 2022/08/08 16:25:38 - mmengine - INFO - Epoch(val) [20][60/194] eta: 0:00:15 time: 0.1160 data_time: 0.0413 memory: 1858 2022/08/08 16:25:40 - mmengine - INFO - Epoch(val) [20][80/194] eta: 0:00:12 time: 0.1069 data_time: 0.0303 memory: 1858 2022/08/08 16:25:42 - mmengine - INFO - Epoch(val) [20][100/194] eta: 0:00:11 time: 0.1227 data_time: 0.0451 memory: 1858 2022/08/08 16:25:44 - mmengine - INFO - Epoch(val) [20][120/194] eta: 0:00:08 time: 0.1090 data_time: 0.0329 memory: 1858 2022/08/08 16:25:47 - mmengine - INFO - Epoch(val) [20][140/194] eta: 0:00:06 time: 0.1239 data_time: 0.0480 memory: 1858 2022/08/08 16:25:49 - mmengine - INFO - Epoch(val) [20][160/194] eta: 0:00:03 time: 0.0967 data_time: 0.0222 memory: 1858 2022/08/08 16:25:50 - mmengine - INFO - Epoch(val) [20][180/194] eta: 0:00:01 time: 0.0781 data_time: 0.0210 memory: 1858 2022/08/08 16:25:52 - mmengine - INFO - Epoch(val) [20][194/194] acc/top1: 0.4410 acc/top5: 0.7279 acc/mean1: 0.3647 2022/08/08 16:25:52 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_19.pth is removed 2022/08/08 16:25:53 - mmengine - INFO - The best checkpoint with 0.4410 acc/top1 at 21 epoch is saved to best_acc/top1_epoch_21.pth. 2022/08/08 16:25:53 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:25:59 - mmengine - INFO - Epoch(train) [21][20/1320] lr: 2.0000e-03 eta: 2:30:30 time: 0.2514 data_time: 0.0410 memory: 11037 grad_norm: 10.5192 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.8050 loss: 1.8050 2022/08/08 16:26:03 - mmengine - INFO - Epoch(train) [21][40/1320] lr: 2.0000e-03 eta: 2:30:26 time: 0.2260 data_time: 0.0145 memory: 11037 grad_norm: 10.3041 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7079 loss: 1.7079 2022/08/08 16:26:08 - mmengine - INFO - Epoch(train) [21][60/1320] lr: 2.0000e-03 eta: 2:30:21 time: 0.2250 data_time: 0.0148 memory: 11037 grad_norm: 10.4206 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6441 loss: 1.6441 2022/08/08 16:26:12 - mmengine - INFO - Epoch(train) [21][80/1320] lr: 2.0000e-03 eta: 2:30:16 time: 0.2346 data_time: 0.0170 memory: 11037 grad_norm: 10.8593 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7889 loss: 1.7889 2022/08/08 16:26:17 - mmengine - INFO - Epoch(train) [21][100/1320] lr: 2.0000e-03 eta: 2:30:12 time: 0.2236 data_time: 0.0142 memory: 11037 grad_norm: 10.7054 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8036 loss: 1.8036 2022/08/08 16:26:21 - mmengine - INFO - Epoch(train) [21][120/1320] lr: 2.0000e-03 eta: 2:30:07 time: 0.2257 data_time: 0.0143 memory: 11037 grad_norm: 10.1982 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7664 loss: 1.7664 2022/08/08 16:26:26 - mmengine - INFO - Epoch(train) [21][140/1320] lr: 2.0000e-03 eta: 2:30:02 time: 0.2247 data_time: 0.0126 memory: 11037 grad_norm: 10.3802 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8623 loss: 1.8623 2022/08/08 16:26:30 - mmengine - INFO - Epoch(train) [21][160/1320] lr: 2.0000e-03 eta: 2:29:58 time: 0.2228 data_time: 0.0129 memory: 11037 grad_norm: 10.7592 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8464 loss: 1.8464 2022/08/08 16:26:35 - mmengine - INFO - Epoch(train) [21][180/1320] lr: 2.0000e-03 eta: 2:29:53 time: 0.2251 data_time: 0.0182 memory: 11037 grad_norm: 10.9075 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7665 loss: 1.7665 2022/08/08 16:26:39 - mmengine - INFO - Epoch(train) [21][200/1320] lr: 2.0000e-03 eta: 2:29:48 time: 0.2242 data_time: 0.0134 memory: 11037 grad_norm: 10.5329 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0410 loss: 2.0410 2022/08/08 16:26:44 - mmengine - INFO - Epoch(train) [21][220/1320] lr: 2.0000e-03 eta: 2:29:44 time: 0.2260 data_time: 0.0141 memory: 11037 grad_norm: 10.2657 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7564 loss: 1.7564 2022/08/08 16:26:48 - mmengine - INFO - Epoch(train) [21][240/1320] lr: 2.0000e-03 eta: 2:29:39 time: 0.2235 data_time: 0.0144 memory: 11037 grad_norm: 10.4067 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6847 loss: 1.6847 2022/08/08 16:26:53 - mmengine - INFO - Epoch(train) [21][260/1320] lr: 2.0000e-03 eta: 2:29:35 time: 0.2280 data_time: 0.0127 memory: 11037 grad_norm: 10.3583 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7391 loss: 1.7391 2022/08/08 16:26:57 - mmengine - INFO - Epoch(train) [21][280/1320] lr: 2.0000e-03 eta: 2:29:30 time: 0.2230 data_time: 0.0137 memory: 11037 grad_norm: 10.5769 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7259 loss: 1.7259 2022/08/08 16:27:02 - mmengine - INFO - Epoch(train) [21][300/1320] lr: 2.0000e-03 eta: 2:29:25 time: 0.2245 data_time: 0.0151 memory: 11037 grad_norm: 10.1115 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6867 loss: 1.6867 2022/08/08 16:27:06 - mmengine - INFO - Epoch(train) [21][320/1320] lr: 2.0000e-03 eta: 2:29:20 time: 0.2228 data_time: 0.0128 memory: 11037 grad_norm: 10.3805 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8982 loss: 1.8982 2022/08/08 16:27:11 - mmengine - INFO - Epoch(train) [21][340/1320] lr: 2.0000e-03 eta: 2:29:16 time: 0.2269 data_time: 0.0143 memory: 11037 grad_norm: 10.7293 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9028 loss: 1.9028 2022/08/08 16:27:15 - mmengine - INFO - Epoch(train) [21][360/1320] lr: 2.0000e-03 eta: 2:29:11 time: 0.2234 data_time: 0.0138 memory: 11037 grad_norm: 10.4090 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8351 loss: 1.8351 2022/08/08 16:27:20 - mmengine - INFO - Epoch(train) [21][380/1320] lr: 2.0000e-03 eta: 2:29:06 time: 0.2224 data_time: 0.0119 memory: 11037 grad_norm: 10.5187 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8590 loss: 1.8590 2022/08/08 16:27:24 - mmengine - INFO - Epoch(train) [21][400/1320] lr: 2.0000e-03 eta: 2:29:02 time: 0.2261 data_time: 0.0143 memory: 11037 grad_norm: 10.3515 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6950 loss: 1.6950 2022/08/08 16:27:29 - mmengine - INFO - Epoch(train) [21][420/1320] lr: 2.0000e-03 eta: 2:28:57 time: 0.2249 data_time: 0.0135 memory: 11037 grad_norm: 10.8184 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8483 loss: 1.8483 2022/08/08 16:27:33 - mmengine - INFO - Epoch(train) [21][440/1320] lr: 2.0000e-03 eta: 2:28:52 time: 0.2259 data_time: 0.0129 memory: 11037 grad_norm: 10.3987 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8548 loss: 1.8548 2022/08/08 16:27:38 - mmengine - INFO - Epoch(train) [21][460/1320] lr: 2.0000e-03 eta: 2:28:48 time: 0.2229 data_time: 0.0130 memory: 11037 grad_norm: 10.2572 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8986 loss: 1.8986 2022/08/08 16:27:44 - mmengine - INFO - Epoch(train) [21][480/1320] lr: 2.0000e-03 eta: 2:28:46 time: 0.3231 data_time: 0.0177 memory: 11037 grad_norm: 10.3761 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8492 loss: 1.8492 2022/08/08 16:27:49 - mmengine - INFO - Epoch(train) [21][500/1320] lr: 2.0000e-03 eta: 2:28:41 time: 0.2237 data_time: 0.0135 memory: 11037 grad_norm: 10.4308 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8588 loss: 1.8588 2022/08/08 16:27:53 - mmengine - INFO - Epoch(train) [21][520/1320] lr: 2.0000e-03 eta: 2:28:37 time: 0.2273 data_time: 0.0142 memory: 11037 grad_norm: 10.4655 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9716 loss: 1.9716 2022/08/08 16:27:58 - mmengine - INFO - Epoch(train) [21][540/1320] lr: 2.0000e-03 eta: 2:28:32 time: 0.2232 data_time: 0.0134 memory: 11037 grad_norm: 10.1958 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8516 loss: 1.8516 2022/08/08 16:28:02 - mmengine - INFO - Epoch(train) [21][560/1320] lr: 2.0000e-03 eta: 2:28:27 time: 0.2292 data_time: 0.0143 memory: 11037 grad_norm: 10.5312 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7317 loss: 1.7317 2022/08/08 16:28:07 - mmengine - INFO - Epoch(train) [21][580/1320] lr: 2.0000e-03 eta: 2:28:23 time: 0.2259 data_time: 0.0158 memory: 11037 grad_norm: 10.6720 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8991 loss: 1.8991 2022/08/08 16:28:11 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:28:11 - mmengine - INFO - Epoch(train) [21][600/1320] lr: 2.0000e-03 eta: 2:28:18 time: 0.2243 data_time: 0.0136 memory: 11037 grad_norm: 10.6758 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7094 loss: 1.7094 2022/08/08 16:28:16 - mmengine - INFO - Epoch(train) [21][620/1320] lr: 2.0000e-03 eta: 2:28:13 time: 0.2239 data_time: 0.0153 memory: 11037 grad_norm: 10.3202 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6959 loss: 1.6959 2022/08/08 16:28:20 - mmengine - INFO - Epoch(train) [21][640/1320] lr: 2.0000e-03 eta: 2:28:09 time: 0.2234 data_time: 0.0147 memory: 11037 grad_norm: 10.4137 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7405 loss: 1.7405 2022/08/08 16:28:25 - mmengine - INFO - Epoch(train) [21][660/1320] lr: 2.0000e-03 eta: 2:28:04 time: 0.2257 data_time: 0.0138 memory: 11037 grad_norm: 10.5708 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6371 loss: 1.6371 2022/08/08 16:28:29 - mmengine - INFO - Epoch(train) [21][680/1320] lr: 2.0000e-03 eta: 2:27:59 time: 0.2238 data_time: 0.0134 memory: 11037 grad_norm: 10.4237 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7559 loss: 1.7559 2022/08/08 16:28:34 - mmengine - INFO - Epoch(train) [21][700/1320] lr: 2.0000e-03 eta: 2:27:55 time: 0.2251 data_time: 0.0137 memory: 11037 grad_norm: 10.8018 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6855 loss: 1.6855 2022/08/08 16:28:38 - mmengine - INFO - Epoch(train) [21][720/1320] lr: 2.0000e-03 eta: 2:27:50 time: 0.2243 data_time: 0.0134 memory: 11037 grad_norm: 10.5945 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9786 loss: 1.9786 2022/08/08 16:28:43 - mmengine - INFO - Epoch(train) [21][740/1320] lr: 2.0000e-03 eta: 2:27:46 time: 0.2279 data_time: 0.0165 memory: 11037 grad_norm: 10.3119 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8680 loss: 1.8680 2022/08/08 16:28:47 - mmengine - INFO - Epoch(train) [21][760/1320] lr: 2.0000e-03 eta: 2:27:41 time: 0.2251 data_time: 0.0137 memory: 11037 grad_norm: 10.3623 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8793 loss: 1.8793 2022/08/08 16:28:52 - mmengine - INFO - Epoch(train) [21][780/1320] lr: 2.0000e-03 eta: 2:27:36 time: 0.2247 data_time: 0.0158 memory: 11037 grad_norm: 10.8285 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8105 loss: 1.8105 2022/08/08 16:28:56 - mmengine - INFO - Epoch(train) [21][800/1320] lr: 2.0000e-03 eta: 2:27:32 time: 0.2228 data_time: 0.0131 memory: 11037 grad_norm: 10.3576 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8461 loss: 1.8461 2022/08/08 16:29:01 - mmengine - INFO - Epoch(train) [21][820/1320] lr: 2.0000e-03 eta: 2:27:27 time: 0.2279 data_time: 0.0141 memory: 11037 grad_norm: 10.5434 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9219 loss: 1.9219 2022/08/08 16:29:05 - mmengine - INFO - Epoch(train) [21][840/1320] lr: 2.0000e-03 eta: 2:27:22 time: 0.2251 data_time: 0.0145 memory: 11037 grad_norm: 10.2484 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9666 loss: 1.9666 2022/08/08 16:29:10 - mmengine - INFO - Epoch(train) [21][860/1320] lr: 2.0000e-03 eta: 2:27:18 time: 0.2239 data_time: 0.0131 memory: 11037 grad_norm: 10.5925 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.8239 loss: 1.8239 2022/08/08 16:29:14 - mmengine - INFO - Epoch(train) [21][880/1320] lr: 2.0000e-03 eta: 2:27:13 time: 0.2248 data_time: 0.0136 memory: 11037 grad_norm: 10.1352 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8080 loss: 1.8080 2022/08/08 16:29:19 - mmengine - INFO - Epoch(train) [21][900/1320] lr: 2.0000e-03 eta: 2:27:08 time: 0.2243 data_time: 0.0135 memory: 11037 grad_norm: 10.5880 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7547 loss: 1.7547 2022/08/08 16:29:23 - mmengine - INFO - Epoch(train) [21][920/1320] lr: 2.0000e-03 eta: 2:27:04 time: 0.2298 data_time: 0.0156 memory: 11037 grad_norm: 10.6954 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7482 loss: 1.7482 2022/08/08 16:29:28 - mmengine - INFO - Epoch(train) [21][940/1320] lr: 2.0000e-03 eta: 2:26:59 time: 0.2241 data_time: 0.0164 memory: 11037 grad_norm: 10.2187 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9849 loss: 1.9849 2022/08/08 16:29:32 - mmengine - INFO - Epoch(train) [21][960/1320] lr: 2.0000e-03 eta: 2:26:54 time: 0.2231 data_time: 0.0130 memory: 11037 grad_norm: 10.3284 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8626 loss: 1.8626 2022/08/08 16:29:37 - mmengine - INFO - Epoch(train) [21][980/1320] lr: 2.0000e-03 eta: 2:26:50 time: 0.2255 data_time: 0.0137 memory: 11037 grad_norm: 10.2693 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0320 loss: 2.0320 2022/08/08 16:29:41 - mmengine - INFO - Epoch(train) [21][1000/1320] lr: 2.0000e-03 eta: 2:26:45 time: 0.2281 data_time: 0.0147 memory: 11037 grad_norm: 10.4243 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9320 loss: 1.9320 2022/08/08 16:29:46 - mmengine - INFO - Epoch(train) [21][1020/1320] lr: 2.0000e-03 eta: 2:26:41 time: 0.2246 data_time: 0.0128 memory: 11037 grad_norm: 9.9705 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9052 loss: 1.9052 2022/08/08 16:29:50 - mmengine - INFO - Epoch(train) [21][1040/1320] lr: 2.0000e-03 eta: 2:26:36 time: 0.2245 data_time: 0.0125 memory: 11037 grad_norm: 10.4468 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8161 loss: 1.8161 2022/08/08 16:29:55 - mmengine - INFO - Epoch(train) [21][1060/1320] lr: 2.0000e-03 eta: 2:26:31 time: 0.2290 data_time: 0.0151 memory: 11037 grad_norm: 10.2722 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6724 loss: 1.6724 2022/08/08 16:29:59 - mmengine - INFO - Epoch(train) [21][1080/1320] lr: 2.0000e-03 eta: 2:26:27 time: 0.2237 data_time: 0.0127 memory: 11037 grad_norm: 10.0543 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8451 loss: 1.8451 2022/08/08 16:30:04 - mmengine - INFO - Epoch(train) [21][1100/1320] lr: 2.0000e-03 eta: 2:26:22 time: 0.2257 data_time: 0.0132 memory: 11037 grad_norm: 10.7438 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8743 loss: 1.8743 2022/08/08 16:30:08 - mmengine - INFO - Epoch(train) [21][1120/1320] lr: 2.0000e-03 eta: 2:26:17 time: 0.2233 data_time: 0.0138 memory: 11037 grad_norm: 10.3784 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8862 loss: 1.8862 2022/08/08 16:30:13 - mmengine - INFO - Epoch(train) [21][1140/1320] lr: 2.0000e-03 eta: 2:26:13 time: 0.2266 data_time: 0.0138 memory: 11037 grad_norm: 10.2566 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7777 loss: 1.7777 2022/08/08 16:30:17 - mmengine - INFO - Epoch(train) [21][1160/1320] lr: 2.0000e-03 eta: 2:26:08 time: 0.2230 data_time: 0.0130 memory: 11037 grad_norm: 10.7155 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6683 loss: 1.6683 2022/08/08 16:30:22 - mmengine - INFO - Epoch(train) [21][1180/1320] lr: 2.0000e-03 eta: 2:26:03 time: 0.2259 data_time: 0.0143 memory: 11037 grad_norm: 10.2256 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9137 loss: 1.9137 2022/08/08 16:30:26 - mmengine - INFO - Epoch(train) [21][1200/1320] lr: 2.0000e-03 eta: 2:25:59 time: 0.2237 data_time: 0.0133 memory: 11037 grad_norm: 10.5399 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0668 loss: 2.0668 2022/08/08 16:30:31 - mmengine - INFO - Epoch(train) [21][1220/1320] lr: 2.0000e-03 eta: 2:25:54 time: 0.2260 data_time: 0.0141 memory: 11037 grad_norm: 10.5065 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9124 loss: 1.9124 2022/08/08 16:30:35 - mmengine - INFO - Epoch(train) [21][1240/1320] lr: 2.0000e-03 eta: 2:25:49 time: 0.2243 data_time: 0.0147 memory: 11037 grad_norm: 10.4495 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8914 loss: 1.8914 2022/08/08 16:30:40 - mmengine - INFO - Epoch(train) [21][1260/1320] lr: 2.0000e-03 eta: 2:25:45 time: 0.2242 data_time: 0.0128 memory: 11037 grad_norm: 10.5133 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8778 loss: 1.8778 2022/08/08 16:30:44 - mmengine - INFO - Epoch(train) [21][1280/1320] lr: 2.0000e-03 eta: 2:25:40 time: 0.2256 data_time: 0.0130 memory: 11037 grad_norm: 10.4188 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8922 loss: 1.8922 2022/08/08 16:30:49 - mmengine - INFO - Epoch(train) [21][1300/1320] lr: 2.0000e-03 eta: 2:25:35 time: 0.2263 data_time: 0.0153 memory: 11037 grad_norm: 10.7050 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8201 loss: 1.8201 2022/08/08 16:30:53 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:30:53 - mmengine - INFO - Epoch(train) [21][1320/1320] lr: 2.0000e-03 eta: 2:25:31 time: 0.2164 data_time: 0.0122 memory: 11037 grad_norm: 10.2791 top1_acc: 0.7273 top5_acc: 1.0000 loss_cls: 1.8724 loss: 1.8724 2022/08/08 16:30:53 - mmengine - INFO - Saving checkpoint at 21 epochs 2022/08/08 16:30:59 - mmengine - INFO - Epoch(val) [21][20/194] eta: 0:00:28 time: 0.1661 data_time: 0.0908 memory: 1858 2022/08/08 16:31:01 - mmengine - INFO - Epoch(val) [21][40/194] eta: 0:00:17 time: 0.1133 data_time: 0.0399 memory: 1858 2022/08/08 16:31:04 - mmengine - INFO - Epoch(val) [21][60/194] eta: 0:00:15 time: 0.1189 data_time: 0.0405 memory: 1858 2022/08/08 16:31:06 - mmengine - INFO - Epoch(val) [21][80/194] eta: 0:00:12 time: 0.1061 data_time: 0.0251 memory: 1858 2022/08/08 16:31:08 - mmengine - INFO - Epoch(val) [21][100/194] eta: 0:00:11 time: 0.1176 data_time: 0.0413 memory: 1858 2022/08/08 16:31:10 - mmengine - INFO - Epoch(val) [21][120/194] eta: 0:00:07 time: 0.1071 data_time: 0.0311 memory: 1858 2022/08/08 16:31:13 - mmengine - INFO - Epoch(val) [21][140/194] eta: 0:00:06 time: 0.1233 data_time: 0.0475 memory: 1858 2022/08/08 16:31:15 - mmengine - INFO - Epoch(val) [21][160/194] eta: 0:00:03 time: 0.1008 data_time: 0.0254 memory: 1858 2022/08/08 16:31:16 - mmengine - INFO - Epoch(val) [21][180/194] eta: 0:00:01 time: 0.0731 data_time: 0.0159 memory: 1858 2022/08/08 16:31:18 - mmengine - INFO - Epoch(val) [21][194/194] acc/top1: 0.4254 acc/top5: 0.7084 acc/mean1: 0.3543 2022/08/08 16:31:18 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:31:23 - mmengine - INFO - Epoch(train) [22][20/1320] lr: 2.0000e-03 eta: 2:25:27 time: 0.2606 data_time: 0.0472 memory: 11037 grad_norm: 10.2342 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7804 loss: 1.7804 2022/08/08 16:31:28 - mmengine - INFO - Epoch(train) [22][40/1320] lr: 2.0000e-03 eta: 2:25:22 time: 0.2238 data_time: 0.0134 memory: 11037 grad_norm: 10.3186 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7046 loss: 1.7046 2022/08/08 16:31:32 - mmengine - INFO - Epoch(train) [22][60/1320] lr: 2.0000e-03 eta: 2:25:18 time: 0.2256 data_time: 0.0129 memory: 11037 grad_norm: 10.1891 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6935 loss: 1.6935 2022/08/08 16:31:37 - mmengine - INFO - Epoch(train) [22][80/1320] lr: 2.0000e-03 eta: 2:25:13 time: 0.2258 data_time: 0.0170 memory: 11037 grad_norm: 10.5162 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7403 loss: 1.7403 2022/08/08 16:31:41 - mmengine - INFO - Epoch(train) [22][100/1320] lr: 2.0000e-03 eta: 2:25:08 time: 0.2244 data_time: 0.0146 memory: 11037 grad_norm: 10.2209 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7670 loss: 1.7670 2022/08/08 16:31:46 - mmengine - INFO - Epoch(train) [22][120/1320] lr: 2.0000e-03 eta: 2:25:04 time: 0.2240 data_time: 0.0139 memory: 11037 grad_norm: 10.4919 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9381 loss: 1.9381 2022/08/08 16:31:50 - mmengine - INFO - Epoch(train) [22][140/1320] lr: 2.0000e-03 eta: 2:24:59 time: 0.2243 data_time: 0.0145 memory: 11037 grad_norm: 10.8782 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9739 loss: 1.9739 2022/08/08 16:31:55 - mmengine - INFO - Epoch(train) [22][160/1320] lr: 2.0000e-03 eta: 2:24:54 time: 0.2299 data_time: 0.0137 memory: 11037 grad_norm: 10.3416 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9322 loss: 1.9322 2022/08/08 16:31:59 - mmengine - INFO - Epoch(train) [22][180/1320] lr: 2.0000e-03 eta: 2:24:50 time: 0.2237 data_time: 0.0116 memory: 11037 grad_norm: 10.6490 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8565 loss: 1.8565 2022/08/08 16:32:04 - mmengine - INFO - Epoch(train) [22][200/1320] lr: 2.0000e-03 eta: 2:24:45 time: 0.2255 data_time: 0.0176 memory: 11037 grad_norm: 10.2301 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9461 loss: 1.9461 2022/08/08 16:32:08 - mmengine - INFO - Epoch(train) [22][220/1320] lr: 2.0000e-03 eta: 2:24:41 time: 0.2258 data_time: 0.0153 memory: 11037 grad_norm: 10.8995 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8501 loss: 1.8501 2022/08/08 16:32:13 - mmengine - INFO - Epoch(train) [22][240/1320] lr: 2.0000e-03 eta: 2:24:36 time: 0.2391 data_time: 0.0129 memory: 11037 grad_norm: 10.4906 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9194 loss: 1.9194 2022/08/08 16:32:18 - mmengine - INFO - Epoch(train) [22][260/1320] lr: 2.0000e-03 eta: 2:24:32 time: 0.2262 data_time: 0.0167 memory: 11037 grad_norm: 10.4616 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9780 loss: 1.9780 2022/08/08 16:32:22 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:32:22 - mmengine - INFO - Epoch(train) [22][280/1320] lr: 2.0000e-03 eta: 2:24:27 time: 0.2270 data_time: 0.0125 memory: 11037 grad_norm: 10.4783 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8116 loss: 1.8116 2022/08/08 16:32:27 - mmengine - INFO - Epoch(train) [22][300/1320] lr: 2.0000e-03 eta: 2:24:22 time: 0.2230 data_time: 0.0124 memory: 11037 grad_norm: 10.5140 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9083 loss: 1.9083 2022/08/08 16:32:31 - mmengine - INFO - Epoch(train) [22][320/1320] lr: 2.0000e-03 eta: 2:24:18 time: 0.2271 data_time: 0.0169 memory: 11037 grad_norm: 10.3748 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8250 loss: 1.8250 2022/08/08 16:32:36 - mmengine - INFO - Epoch(train) [22][340/1320] lr: 2.0000e-03 eta: 2:24:13 time: 0.2234 data_time: 0.0138 memory: 11037 grad_norm: 10.3131 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0369 loss: 2.0369 2022/08/08 16:32:40 - mmengine - INFO - Epoch(train) [22][360/1320] lr: 2.0000e-03 eta: 2:24:08 time: 0.2252 data_time: 0.0137 memory: 11037 grad_norm: 10.4047 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7820 loss: 1.7820 2022/08/08 16:32:45 - mmengine - INFO - Epoch(train) [22][380/1320] lr: 2.0000e-03 eta: 2:24:04 time: 0.2271 data_time: 0.0144 memory: 11037 grad_norm: 10.3568 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7585 loss: 1.7585 2022/08/08 16:32:49 - mmengine - INFO - Epoch(train) [22][400/1320] lr: 2.0000e-03 eta: 2:23:59 time: 0.2237 data_time: 0.0132 memory: 11037 grad_norm: 10.3890 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6992 loss: 1.6992 2022/08/08 16:32:54 - mmengine - INFO - Epoch(train) [22][420/1320] lr: 2.0000e-03 eta: 2:23:55 time: 0.2275 data_time: 0.0135 memory: 11037 grad_norm: 10.4758 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9002 loss: 1.9002 2022/08/08 16:32:58 - mmengine - INFO - Epoch(train) [22][440/1320] lr: 2.0000e-03 eta: 2:23:50 time: 0.2249 data_time: 0.0152 memory: 11037 grad_norm: 10.7319 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7845 loss: 1.7845 2022/08/08 16:33:03 - mmengine - INFO - Epoch(train) [22][460/1320] lr: 2.0000e-03 eta: 2:23:45 time: 0.2246 data_time: 0.0126 memory: 11037 grad_norm: 10.5014 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7133 loss: 1.7133 2022/08/08 16:33:07 - mmengine - INFO - Epoch(train) [22][480/1320] lr: 2.0000e-03 eta: 2:23:41 time: 0.2263 data_time: 0.0126 memory: 11037 grad_norm: 10.6063 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7168 loss: 1.7168 2022/08/08 16:33:12 - mmengine - INFO - Epoch(train) [22][500/1320] lr: 2.0000e-03 eta: 2:23:36 time: 0.2252 data_time: 0.0150 memory: 11037 grad_norm: 10.0837 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8471 loss: 1.8471 2022/08/08 16:33:16 - mmengine - INFO - Epoch(train) [22][520/1320] lr: 2.0000e-03 eta: 2:23:31 time: 0.2232 data_time: 0.0140 memory: 11037 grad_norm: 10.1746 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8805 loss: 1.8805 2022/08/08 16:33:21 - mmengine - INFO - Epoch(train) [22][540/1320] lr: 2.0000e-03 eta: 2:23:27 time: 0.2237 data_time: 0.0128 memory: 11037 grad_norm: 10.5371 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7284 loss: 1.7284 2022/08/08 16:33:25 - mmengine - INFO - Epoch(train) [22][560/1320] lr: 2.0000e-03 eta: 2:23:22 time: 0.2264 data_time: 0.0153 memory: 11037 grad_norm: 10.7831 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7338 loss: 1.7338 2022/08/08 16:33:30 - mmengine - INFO - Epoch(train) [22][580/1320] lr: 2.0000e-03 eta: 2:23:17 time: 0.2241 data_time: 0.0137 memory: 11037 grad_norm: 10.5651 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0153 loss: 2.0153 2022/08/08 16:33:34 - mmengine - INFO - Epoch(train) [22][600/1320] lr: 2.0000e-03 eta: 2:23:13 time: 0.2233 data_time: 0.0122 memory: 11037 grad_norm: 10.3980 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5464 loss: 1.5464 2022/08/08 16:33:39 - mmengine - INFO - Epoch(train) [22][620/1320] lr: 2.0000e-03 eta: 2:23:08 time: 0.2255 data_time: 0.0141 memory: 11037 grad_norm: 10.6191 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7901 loss: 1.7901 2022/08/08 16:33:43 - mmengine - INFO - Epoch(train) [22][640/1320] lr: 2.0000e-03 eta: 2:23:04 time: 0.2280 data_time: 0.0164 memory: 11037 grad_norm: 10.5498 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8132 loss: 1.8132 2022/08/08 16:33:48 - mmengine - INFO - Epoch(train) [22][660/1320] lr: 2.0000e-03 eta: 2:22:59 time: 0.2233 data_time: 0.0130 memory: 11037 grad_norm: 10.8257 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9633 loss: 1.9633 2022/08/08 16:33:52 - mmengine - INFO - Epoch(train) [22][680/1320] lr: 2.0000e-03 eta: 2:22:54 time: 0.2264 data_time: 0.0171 memory: 11037 grad_norm: 10.6561 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8611 loss: 1.8611 2022/08/08 16:33:57 - mmengine - INFO - Epoch(train) [22][700/1320] lr: 2.0000e-03 eta: 2:22:50 time: 0.2242 data_time: 0.0133 memory: 11037 grad_norm: 10.1279 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6393 loss: 1.6393 2022/08/08 16:34:01 - mmengine - INFO - Epoch(train) [22][720/1320] lr: 2.0000e-03 eta: 2:22:45 time: 0.2275 data_time: 0.0146 memory: 11037 grad_norm: 10.5070 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9127 loss: 1.9127 2022/08/08 16:34:06 - mmengine - INFO - Epoch(train) [22][740/1320] lr: 2.0000e-03 eta: 2:22:40 time: 0.2267 data_time: 0.0146 memory: 11037 grad_norm: 10.2131 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8370 loss: 1.8370 2022/08/08 16:34:10 - mmengine - INFO - Epoch(train) [22][760/1320] lr: 2.0000e-03 eta: 2:22:36 time: 0.2249 data_time: 0.0133 memory: 11037 grad_norm: 10.4619 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8489 loss: 1.8489 2022/08/08 16:34:15 - mmengine - INFO - Epoch(train) [22][780/1320] lr: 2.0000e-03 eta: 2:22:31 time: 0.2243 data_time: 0.0125 memory: 11037 grad_norm: 10.2013 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7685 loss: 1.7685 2022/08/08 16:34:19 - mmengine - INFO - Epoch(train) [22][800/1320] lr: 2.0000e-03 eta: 2:22:26 time: 0.2254 data_time: 0.0138 memory: 11037 grad_norm: 10.2294 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6749 loss: 1.6749 2022/08/08 16:34:24 - mmengine - INFO - Epoch(train) [22][820/1320] lr: 2.0000e-03 eta: 2:22:22 time: 0.2315 data_time: 0.0138 memory: 11037 grad_norm: 10.4160 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9063 loss: 1.9063 2022/08/08 16:34:28 - mmengine - INFO - Epoch(train) [22][840/1320] lr: 2.0000e-03 eta: 2:22:17 time: 0.2240 data_time: 0.0160 memory: 11037 grad_norm: 10.7440 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8853 loss: 1.8853 2022/08/08 16:34:33 - mmengine - INFO - Epoch(train) [22][860/1320] lr: 2.0000e-03 eta: 2:22:13 time: 0.2274 data_time: 0.0151 memory: 11037 grad_norm: 10.8193 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7218 loss: 1.7218 2022/08/08 16:34:37 - mmengine - INFO - Epoch(train) [22][880/1320] lr: 2.0000e-03 eta: 2:22:08 time: 0.2246 data_time: 0.0147 memory: 11037 grad_norm: 10.7020 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9806 loss: 1.9806 2022/08/08 16:34:42 - mmengine - INFO - Epoch(train) [22][900/1320] lr: 2.0000e-03 eta: 2:22:04 time: 0.2276 data_time: 0.0134 memory: 11037 grad_norm: 10.6353 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.6505 loss: 1.6505 2022/08/08 16:34:46 - mmengine - INFO - Epoch(train) [22][920/1320] lr: 2.0000e-03 eta: 2:21:59 time: 0.2256 data_time: 0.0144 memory: 11037 grad_norm: 10.7649 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8041 loss: 1.8041 2022/08/08 16:34:51 - mmengine - INFO - Epoch(train) [22][940/1320] lr: 2.0000e-03 eta: 2:21:54 time: 0.2257 data_time: 0.0133 memory: 11037 grad_norm: 10.4873 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8791 loss: 1.8791 2022/08/08 16:34:55 - mmengine - INFO - Epoch(train) [22][960/1320] lr: 2.0000e-03 eta: 2:21:50 time: 0.2238 data_time: 0.0141 memory: 11037 grad_norm: 10.4850 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6391 loss: 1.6391 2022/08/08 16:35:00 - mmengine - INFO - Epoch(train) [22][980/1320] lr: 2.0000e-03 eta: 2:21:45 time: 0.2254 data_time: 0.0138 memory: 11037 grad_norm: 10.0004 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9314 loss: 1.9314 2022/08/08 16:35:05 - mmengine - INFO - Epoch(train) [22][1000/1320] lr: 2.0000e-03 eta: 2:21:40 time: 0.2283 data_time: 0.0160 memory: 11037 grad_norm: 10.3701 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9143 loss: 1.9143 2022/08/08 16:35:09 - mmengine - INFO - Epoch(train) [22][1020/1320] lr: 2.0000e-03 eta: 2:21:36 time: 0.2268 data_time: 0.0128 memory: 11037 grad_norm: 10.5889 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7833 loss: 1.7833 2022/08/08 16:35:14 - mmengine - INFO - Epoch(train) [22][1040/1320] lr: 2.0000e-03 eta: 2:21:31 time: 0.2244 data_time: 0.0149 memory: 11037 grad_norm: 10.2413 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7007 loss: 1.7007 2022/08/08 16:35:18 - mmengine - INFO - Epoch(train) [22][1060/1320] lr: 2.0000e-03 eta: 2:21:27 time: 0.2242 data_time: 0.0133 memory: 11037 grad_norm: 10.9130 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9164 loss: 1.9164 2022/08/08 16:35:23 - mmengine - INFO - Epoch(train) [22][1080/1320] lr: 2.0000e-03 eta: 2:21:22 time: 0.2287 data_time: 0.0130 memory: 11037 grad_norm: 10.4429 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9294 loss: 1.9294 2022/08/08 16:35:27 - mmengine - INFO - Epoch(train) [22][1100/1320] lr: 2.0000e-03 eta: 2:21:17 time: 0.2253 data_time: 0.0165 memory: 11037 grad_norm: 10.4782 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6558 loss: 1.6558 2022/08/08 16:35:32 - mmengine - INFO - Epoch(train) [22][1120/1320] lr: 2.0000e-03 eta: 2:21:13 time: 0.2248 data_time: 0.0131 memory: 11037 grad_norm: 10.3113 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7632 loss: 1.7632 2022/08/08 16:35:36 - mmengine - INFO - Epoch(train) [22][1140/1320] lr: 2.0000e-03 eta: 2:21:08 time: 0.2238 data_time: 0.0129 memory: 11037 grad_norm: 10.7835 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8995 loss: 1.8995 2022/08/08 16:35:41 - mmengine - INFO - Epoch(train) [22][1160/1320] lr: 2.0000e-03 eta: 2:21:03 time: 0.2248 data_time: 0.0151 memory: 11037 grad_norm: 10.5038 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0155 loss: 2.0155 2022/08/08 16:35:45 - mmengine - INFO - Epoch(train) [22][1180/1320] lr: 2.0000e-03 eta: 2:20:59 time: 0.2275 data_time: 0.0155 memory: 11037 grad_norm: 10.3542 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8768 loss: 1.8768 2022/08/08 16:35:50 - mmengine - INFO - Epoch(train) [22][1200/1320] lr: 2.0000e-03 eta: 2:20:54 time: 0.2241 data_time: 0.0129 memory: 11037 grad_norm: 10.4329 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6666 loss: 1.6666 2022/08/08 16:35:54 - mmengine - INFO - Epoch(train) [22][1220/1320] lr: 2.0000e-03 eta: 2:20:50 time: 0.2258 data_time: 0.0153 memory: 11037 grad_norm: 10.4513 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0144 loss: 2.0144 2022/08/08 16:35:59 - mmengine - INFO - Epoch(train) [22][1240/1320] lr: 2.0000e-03 eta: 2:20:45 time: 0.2227 data_time: 0.0119 memory: 11037 grad_norm: 10.5309 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8463 loss: 1.8463 2022/08/08 16:36:03 - mmengine - INFO - Epoch(train) [22][1260/1320] lr: 2.0000e-03 eta: 2:20:40 time: 0.2264 data_time: 0.0128 memory: 11037 grad_norm: 10.7341 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7953 loss: 1.7953 2022/08/08 16:36:08 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:36:08 - mmengine - INFO - Epoch(train) [22][1280/1320] lr: 2.0000e-03 eta: 2:20:36 time: 0.2241 data_time: 0.0149 memory: 11037 grad_norm: 10.1369 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8146 loss: 1.8146 2022/08/08 16:36:12 - mmengine - INFO - Epoch(train) [22][1300/1320] lr: 2.0000e-03 eta: 2:20:31 time: 0.2258 data_time: 0.0136 memory: 11037 grad_norm: 10.1087 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8848 loss: 1.8848 2022/08/08 16:36:16 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:36:16 - mmengine - INFO - Epoch(train) [22][1320/1320] lr: 2.0000e-03 eta: 2:20:26 time: 0.2132 data_time: 0.0122 memory: 11037 grad_norm: 10.2490 top1_acc: 0.7273 top5_acc: 0.7273 loss_cls: 2.0146 loss: 2.0146 2022/08/08 16:36:16 - mmengine - INFO - Saving checkpoint at 22 epochs 2022/08/08 16:36:22 - mmengine - INFO - Epoch(val) [22][20/194] eta: 0:00:27 time: 0.1603 data_time: 0.0823 memory: 1858 2022/08/08 16:36:25 - mmengine - INFO - Epoch(val) [22][40/194] eta: 0:00:17 time: 0.1159 data_time: 0.0374 memory: 1858 2022/08/08 16:36:27 - mmengine - INFO - Epoch(val) [22][60/194] eta: 0:00:15 time: 0.1133 data_time: 0.0367 memory: 1858 2022/08/08 16:36:29 - mmengine - INFO - Epoch(val) [22][80/194] eta: 0:00:12 time: 0.1089 data_time: 0.0320 memory: 1858 2022/08/08 16:36:32 - mmengine - INFO - Epoch(val) [22][100/194] eta: 0:00:11 time: 0.1235 data_time: 0.0483 memory: 1858 2022/08/08 16:36:34 - mmengine - INFO - Epoch(val) [22][120/194] eta: 0:00:07 time: 0.1036 data_time: 0.0288 memory: 1858 2022/08/08 16:36:36 - mmengine - INFO - Epoch(val) [22][140/194] eta: 0:00:06 time: 0.1261 data_time: 0.0514 memory: 1858 2022/08/08 16:36:38 - mmengine - INFO - Epoch(val) [22][160/194] eta: 0:00:03 time: 0.0962 data_time: 0.0203 memory: 1858 2022/08/08 16:36:40 - mmengine - INFO - Epoch(val) [22][180/194] eta: 0:00:00 time: 0.0709 data_time: 0.0136 memory: 1858 2022/08/08 16:36:41 - mmengine - INFO - Epoch(val) [22][194/194] acc/top1: 0.4387 acc/top5: 0.7285 acc/mean1: 0.3710 2022/08/08 16:36:41 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:36:47 - mmengine - INFO - Epoch(train) [23][20/1320] lr: 2.0000e-03 eta: 2:20:23 time: 0.2872 data_time: 0.0703 memory: 11037 grad_norm: 10.5890 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9688 loss: 1.9688 2022/08/08 16:36:52 - mmengine - INFO - Epoch(train) [23][40/1320] lr: 2.0000e-03 eta: 2:20:18 time: 0.2250 data_time: 0.0138 memory: 11037 grad_norm: 10.3912 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6393 loss: 1.6393 2022/08/08 16:36:56 - mmengine - INFO - Epoch(train) [23][60/1320] lr: 2.0000e-03 eta: 2:20:14 time: 0.2260 data_time: 0.0156 memory: 11037 grad_norm: 10.5886 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6166 loss: 1.6166 2022/08/08 16:37:01 - mmengine - INFO - Epoch(train) [23][80/1320] lr: 2.0000e-03 eta: 2:20:09 time: 0.2243 data_time: 0.0118 memory: 11037 grad_norm: 10.5844 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6860 loss: 1.6860 2022/08/08 16:37:05 - mmengine - INFO - Epoch(train) [23][100/1320] lr: 2.0000e-03 eta: 2:20:04 time: 0.2267 data_time: 0.0129 memory: 11037 grad_norm: 10.5399 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9192 loss: 1.9192 2022/08/08 16:37:10 - mmengine - INFO - Epoch(train) [23][120/1320] lr: 2.0000e-03 eta: 2:20:00 time: 0.2246 data_time: 0.0145 memory: 11037 grad_norm: 10.4527 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7729 loss: 1.7729 2022/08/08 16:37:14 - mmengine - INFO - Epoch(train) [23][140/1320] lr: 2.0000e-03 eta: 2:19:55 time: 0.2258 data_time: 0.0150 memory: 11037 grad_norm: 10.6067 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5043 loss: 1.5043 2022/08/08 16:37:19 - mmengine - INFO - Epoch(train) [23][160/1320] lr: 2.0000e-03 eta: 2:19:51 time: 0.2238 data_time: 0.0145 memory: 11037 grad_norm: 10.1791 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6153 loss: 1.6153 2022/08/08 16:37:23 - mmengine - INFO - Epoch(train) [23][180/1320] lr: 2.0000e-03 eta: 2:19:46 time: 0.2294 data_time: 0.0161 memory: 11037 grad_norm: 10.2988 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6928 loss: 1.6928 2022/08/08 16:37:28 - mmengine - INFO - Epoch(train) [23][200/1320] lr: 2.0000e-03 eta: 2:19:41 time: 0.2237 data_time: 0.0115 memory: 11037 grad_norm: 10.5034 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8522 loss: 1.8522 2022/08/08 16:37:32 - mmengine - INFO - Epoch(train) [23][220/1320] lr: 2.0000e-03 eta: 2:19:37 time: 0.2240 data_time: 0.0131 memory: 11037 grad_norm: 10.7370 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6830 loss: 1.6830 2022/08/08 16:37:37 - mmengine - INFO - Epoch(train) [23][240/1320] lr: 2.0000e-03 eta: 2:19:32 time: 0.2260 data_time: 0.0159 memory: 11037 grad_norm: 10.3222 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7805 loss: 1.7805 2022/08/08 16:37:41 - mmengine - INFO - Epoch(train) [23][260/1320] lr: 2.0000e-03 eta: 2:19:27 time: 0.2239 data_time: 0.0134 memory: 11037 grad_norm: 10.3610 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8381 loss: 1.8381 2022/08/08 16:37:46 - mmengine - INFO - Epoch(train) [23][280/1320] lr: 2.0000e-03 eta: 2:19:23 time: 0.2379 data_time: 0.0120 memory: 11037 grad_norm: 10.5779 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 1.7881 loss: 1.7881 2022/08/08 16:37:50 - mmengine - INFO - Epoch(train) [23][300/1320] lr: 2.0000e-03 eta: 2:19:18 time: 0.2255 data_time: 0.0143 memory: 11037 grad_norm: 10.3379 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7444 loss: 1.7444 2022/08/08 16:37:55 - mmengine - INFO - Epoch(train) [23][320/1320] lr: 2.0000e-03 eta: 2:19:14 time: 0.2257 data_time: 0.0141 memory: 11037 grad_norm: 10.4231 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6702 loss: 1.6702 2022/08/08 16:37:59 - mmengine - INFO - Epoch(train) [23][340/1320] lr: 2.0000e-03 eta: 2:19:09 time: 0.2239 data_time: 0.0133 memory: 11037 grad_norm: 10.7409 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9860 loss: 1.9860 2022/08/08 16:38:04 - mmengine - INFO - Epoch(train) [23][360/1320] lr: 2.0000e-03 eta: 2:19:05 time: 0.2272 data_time: 0.0146 memory: 11037 grad_norm: 10.4548 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8070 loss: 1.8070 2022/08/08 16:38:08 - mmengine - INFO - Epoch(train) [23][380/1320] lr: 2.0000e-03 eta: 2:19:00 time: 0.2232 data_time: 0.0127 memory: 11037 grad_norm: 10.5246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7204 loss: 1.7204 2022/08/08 16:38:13 - mmengine - INFO - Epoch(train) [23][400/1320] lr: 2.0000e-03 eta: 2:18:55 time: 0.2260 data_time: 0.0136 memory: 11037 grad_norm: 10.7978 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8001 loss: 1.8001 2022/08/08 16:38:18 - mmengine - INFO - Epoch(train) [23][420/1320] lr: 2.0000e-03 eta: 2:18:51 time: 0.2300 data_time: 0.0147 memory: 11037 grad_norm: 10.6841 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8785 loss: 1.8785 2022/08/08 16:38:22 - mmengine - INFO - Epoch(train) [23][440/1320] lr: 2.0000e-03 eta: 2:18:46 time: 0.2249 data_time: 0.0130 memory: 11037 grad_norm: 10.3056 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9018 loss: 1.9018 2022/08/08 16:38:27 - mmengine - INFO - Epoch(train) [23][460/1320] lr: 2.0000e-03 eta: 2:18:42 time: 0.2246 data_time: 0.0137 memory: 11037 grad_norm: 10.5106 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7260 loss: 1.7260 2022/08/08 16:38:31 - mmengine - INFO - Epoch(train) [23][480/1320] lr: 2.0000e-03 eta: 2:18:37 time: 0.2243 data_time: 0.0137 memory: 11037 grad_norm: 11.0108 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6227 loss: 1.6227 2022/08/08 16:38:36 - mmengine - INFO - Epoch(train) [23][500/1320] lr: 2.0000e-03 eta: 2:18:32 time: 0.2294 data_time: 0.0140 memory: 11037 grad_norm: 10.3856 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7725 loss: 1.7725 2022/08/08 16:38:40 - mmengine - INFO - Epoch(train) [23][520/1320] lr: 2.0000e-03 eta: 2:18:28 time: 0.2245 data_time: 0.0139 memory: 11037 grad_norm: 10.2891 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7235 loss: 1.7235 2022/08/08 16:38:45 - mmengine - INFO - Epoch(train) [23][540/1320] lr: 2.0000e-03 eta: 2:18:23 time: 0.2245 data_time: 0.0147 memory: 11037 grad_norm: 10.5222 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7576 loss: 1.7576 2022/08/08 16:38:49 - mmengine - INFO - Epoch(train) [23][560/1320] lr: 2.0000e-03 eta: 2:18:18 time: 0.2232 data_time: 0.0128 memory: 11037 grad_norm: 10.8336 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7366 loss: 1.7366 2022/08/08 16:38:54 - mmengine - INFO - Epoch(train) [23][580/1320] lr: 2.0000e-03 eta: 2:18:14 time: 0.2303 data_time: 0.0134 memory: 11037 grad_norm: 10.2589 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6371 loss: 1.6371 2022/08/08 16:38:58 - mmengine - INFO - Epoch(train) [23][600/1320] lr: 2.0000e-03 eta: 2:18:09 time: 0.2253 data_time: 0.0148 memory: 11037 grad_norm: 10.5970 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7182 loss: 1.7182 2022/08/08 16:39:03 - mmengine - INFO - Epoch(train) [23][620/1320] lr: 2.0000e-03 eta: 2:18:05 time: 0.2240 data_time: 0.0133 memory: 11037 grad_norm: 10.5008 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7019 loss: 1.7019 2022/08/08 16:39:07 - mmengine - INFO - Epoch(train) [23][640/1320] lr: 2.0000e-03 eta: 2:18:00 time: 0.2249 data_time: 0.0131 memory: 11037 grad_norm: 10.5266 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6403 loss: 1.6403 2022/08/08 16:39:12 - mmengine - INFO - Epoch(train) [23][660/1320] lr: 2.0000e-03 eta: 2:17:55 time: 0.2298 data_time: 0.0150 memory: 11037 grad_norm: 10.1858 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7421 loss: 1.7421 2022/08/08 16:39:16 - mmengine - INFO - Epoch(train) [23][680/1320] lr: 2.0000e-03 eta: 2:17:51 time: 0.2249 data_time: 0.0132 memory: 11037 grad_norm: 10.3923 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9251 loss: 1.9251 2022/08/08 16:39:21 - mmengine - INFO - Epoch(train) [23][700/1320] lr: 2.0000e-03 eta: 2:17:46 time: 0.2250 data_time: 0.0138 memory: 11037 grad_norm: 10.4657 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8053 loss: 1.8053 2022/08/08 16:39:25 - mmengine - INFO - Epoch(train) [23][720/1320] lr: 2.0000e-03 eta: 2:17:42 time: 0.2259 data_time: 0.0152 memory: 11037 grad_norm: 10.4510 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7407 loss: 1.7407 2022/08/08 16:39:30 - mmengine - INFO - Epoch(train) [23][740/1320] lr: 2.0000e-03 eta: 2:17:37 time: 0.2248 data_time: 0.0131 memory: 11037 grad_norm: 10.3416 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8425 loss: 1.8425 2022/08/08 16:39:34 - mmengine - INFO - Epoch(train) [23][760/1320] lr: 2.0000e-03 eta: 2:17:33 time: 0.2355 data_time: 0.0145 memory: 11037 grad_norm: 10.6099 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8273 loss: 1.8273 2022/08/08 16:39:39 - mmengine - INFO - Epoch(train) [23][780/1320] lr: 2.0000e-03 eta: 2:17:28 time: 0.2251 data_time: 0.0141 memory: 11037 grad_norm: 10.2989 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9313 loss: 1.9313 2022/08/08 16:39:43 - mmengine - INFO - Epoch(train) [23][800/1320] lr: 2.0000e-03 eta: 2:17:23 time: 0.2229 data_time: 0.0116 memory: 11037 grad_norm: 10.9645 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5310 loss: 1.5310 2022/08/08 16:39:48 - mmengine - INFO - Epoch(train) [23][820/1320] lr: 2.0000e-03 eta: 2:17:19 time: 0.2247 data_time: 0.0134 memory: 11037 grad_norm: 10.9056 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6247 loss: 1.6247 2022/08/08 16:39:53 - mmengine - INFO - Epoch(train) [23][840/1320] lr: 2.0000e-03 eta: 2:17:14 time: 0.2366 data_time: 0.0165 memory: 11037 grad_norm: 10.3366 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7115 loss: 1.7115 2022/08/08 16:39:57 - mmengine - INFO - Epoch(train) [23][860/1320] lr: 2.0000e-03 eta: 2:17:10 time: 0.2237 data_time: 0.0124 memory: 11037 grad_norm: 10.5087 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8470 loss: 1.8470 2022/08/08 16:40:02 - mmengine - INFO - Epoch(train) [23][880/1320] lr: 2.0000e-03 eta: 2:17:05 time: 0.2228 data_time: 0.0134 memory: 11037 grad_norm: 10.2693 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8938 loss: 1.8938 2022/08/08 16:40:06 - mmengine - INFO - Epoch(train) [23][900/1320] lr: 2.0000e-03 eta: 2:17:00 time: 0.2247 data_time: 0.0141 memory: 11037 grad_norm: 10.5104 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7128 loss: 1.7128 2022/08/08 16:40:11 - mmengine - INFO - Epoch(train) [23][920/1320] lr: 2.0000e-03 eta: 2:16:56 time: 0.2243 data_time: 0.0154 memory: 11037 grad_norm: 10.5258 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7909 loss: 1.7909 2022/08/08 16:40:15 - mmengine - INFO - Epoch(train) [23][940/1320] lr: 2.0000e-03 eta: 2:16:51 time: 0.2364 data_time: 0.0149 memory: 11037 grad_norm: 10.5002 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5645 loss: 1.5645 2022/08/08 16:40:20 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:40:20 - mmengine - INFO - Epoch(train) [23][960/1320] lr: 2.0000e-03 eta: 2:16:47 time: 0.2248 data_time: 0.0148 memory: 11037 grad_norm: 10.6838 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9054 loss: 1.9054 2022/08/08 16:40:24 - mmengine - INFO - Epoch(train) [23][980/1320] lr: 2.0000e-03 eta: 2:16:42 time: 0.2240 data_time: 0.0136 memory: 11037 grad_norm: 9.8897 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7494 loss: 1.7494 2022/08/08 16:40:29 - mmengine - INFO - Epoch(train) [23][1000/1320] lr: 2.0000e-03 eta: 2:16:37 time: 0.2235 data_time: 0.0133 memory: 11037 grad_norm: 10.1828 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8604 loss: 1.8604 2022/08/08 16:40:33 - mmengine - INFO - Epoch(train) [23][1020/1320] lr: 2.0000e-03 eta: 2:16:33 time: 0.2329 data_time: 0.0158 memory: 11037 grad_norm: 10.7181 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8647 loss: 1.8647 2022/08/08 16:40:38 - mmengine - INFO - Epoch(train) [23][1040/1320] lr: 2.0000e-03 eta: 2:16:28 time: 0.2231 data_time: 0.0130 memory: 11037 grad_norm: 10.7046 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6970 loss: 1.6970 2022/08/08 16:40:42 - mmengine - INFO - Epoch(train) [23][1060/1320] lr: 2.0000e-03 eta: 2:16:24 time: 0.2238 data_time: 0.0121 memory: 11037 grad_norm: 10.2503 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6614 loss: 1.6614 2022/08/08 16:40:47 - mmengine - INFO - Epoch(train) [23][1080/1320] lr: 2.0000e-03 eta: 2:16:19 time: 0.2246 data_time: 0.0144 memory: 11037 grad_norm: 10.3595 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7361 loss: 1.7361 2022/08/08 16:40:51 - mmengine - INFO - Epoch(train) [23][1100/1320] lr: 2.0000e-03 eta: 2:16:14 time: 0.2241 data_time: 0.0137 memory: 11037 grad_norm: 10.7999 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9147 loss: 1.9147 2022/08/08 16:40:56 - mmengine - INFO - Epoch(train) [23][1120/1320] lr: 2.0000e-03 eta: 2:16:10 time: 0.2260 data_time: 0.0123 memory: 11037 grad_norm: 10.3754 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7973 loss: 1.7973 2022/08/08 16:41:00 - mmengine - INFO - Epoch(train) [23][1140/1320] lr: 2.0000e-03 eta: 2:16:05 time: 0.2259 data_time: 0.0145 memory: 11037 grad_norm: 10.2177 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6301 loss: 1.6301 2022/08/08 16:41:05 - mmengine - INFO - Epoch(train) [23][1160/1320] lr: 2.0000e-03 eta: 2:16:00 time: 0.2245 data_time: 0.0138 memory: 11037 grad_norm: 10.3084 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7163 loss: 1.7163 2022/08/08 16:41:09 - mmengine - INFO - Epoch(train) [23][1180/1320] lr: 2.0000e-03 eta: 2:15:56 time: 0.2234 data_time: 0.0140 memory: 11037 grad_norm: 10.0609 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8158 loss: 1.8158 2022/08/08 16:41:14 - mmengine - INFO - Epoch(train) [23][1200/1320] lr: 2.0000e-03 eta: 2:15:51 time: 0.2355 data_time: 0.0172 memory: 11037 grad_norm: 10.5464 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9351 loss: 1.9351 2022/08/08 16:41:19 - mmengine - INFO - Epoch(train) [23][1220/1320] lr: 2.0000e-03 eta: 2:15:47 time: 0.2240 data_time: 0.0135 memory: 11037 grad_norm: 10.2763 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6309 loss: 1.6309 2022/08/08 16:41:23 - mmengine - INFO - Epoch(train) [23][1240/1320] lr: 2.0000e-03 eta: 2:15:42 time: 0.2243 data_time: 0.0123 memory: 11037 grad_norm: 10.5921 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7661 loss: 1.7661 2022/08/08 16:41:28 - mmengine - INFO - Epoch(train) [23][1260/1320] lr: 2.0000e-03 eta: 2:15:37 time: 0.2245 data_time: 0.0142 memory: 11037 grad_norm: 10.5025 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9190 loss: 1.9190 2022/08/08 16:41:32 - mmengine - INFO - Epoch(train) [23][1280/1320] lr: 2.0000e-03 eta: 2:15:33 time: 0.2283 data_time: 0.0185 memory: 11037 grad_norm: 10.8109 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7876 loss: 1.7876 2022/08/08 16:41:37 - mmengine - INFO - Epoch(train) [23][1300/1320] lr: 2.0000e-03 eta: 2:15:28 time: 0.2254 data_time: 0.0138 memory: 11037 grad_norm: 10.2100 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8915 loss: 1.8915 2022/08/08 16:41:41 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:41:41 - mmengine - INFO - Epoch(train) [23][1320/1320] lr: 2.0000e-03 eta: 2:15:23 time: 0.2157 data_time: 0.0134 memory: 11037 grad_norm: 10.2390 top1_acc: 0.4545 top5_acc: 0.7273 loss_cls: 1.7241 loss: 1.7241 2022/08/08 16:41:41 - mmengine - INFO - Saving checkpoint at 23 epochs 2022/08/08 16:41:46 - mmengine - INFO - Epoch(val) [23][20/194] eta: 0:00:28 time: 0.1618 data_time: 0.0835 memory: 1858 2022/08/08 16:41:49 - mmengine - INFO - Epoch(val) [23][40/194] eta: 0:00:17 time: 0.1124 data_time: 0.0367 memory: 1858 2022/08/08 16:41:51 - mmengine - INFO - Epoch(val) [23][60/194] eta: 0:00:14 time: 0.1098 data_time: 0.0329 memory: 1858 2022/08/08 16:41:53 - mmengine - INFO - Epoch(val) [23][80/194] eta: 0:00:12 time: 0.1139 data_time: 0.0370 memory: 1858 2022/08/08 16:41:55 - mmengine - INFO - Epoch(val) [23][100/194] eta: 0:00:10 time: 0.1141 data_time: 0.0364 memory: 1858 2022/08/08 16:41:58 - mmengine - INFO - Epoch(val) [23][120/194] eta: 0:00:08 time: 0.1118 data_time: 0.0345 memory: 1858 2022/08/08 16:42:00 - mmengine - INFO - Epoch(val) [23][140/194] eta: 0:00:06 time: 0.1189 data_time: 0.0408 memory: 1858 2022/08/08 16:42:02 - mmengine - INFO - Epoch(val) [23][160/194] eta: 0:00:03 time: 0.0978 data_time: 0.0230 memory: 1858 2022/08/08 16:42:04 - mmengine - INFO - Epoch(val) [23][180/194] eta: 0:00:01 time: 0.0883 data_time: 0.0254 memory: 1858 2022/08/08 16:42:05 - mmengine - INFO - Epoch(val) [23][194/194] acc/top1: 0.4473 acc/top5: 0.7289 acc/mean1: 0.3655 2022/08/08 16:42:05 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_21.pth is removed 2022/08/08 16:42:07 - mmengine - INFO - The best checkpoint with 0.4473 acc/top1 at 24 epoch is saved to best_acc/top1_epoch_24.pth. 2022/08/08 16:42:07 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:42:12 - mmengine - INFO - Epoch(train) [24][20/1320] lr: 2.0000e-03 eta: 2:15:19 time: 0.2512 data_time: 0.0363 memory: 11037 grad_norm: 10.6106 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8367 loss: 1.8367 2022/08/08 16:42:17 - mmengine - INFO - Epoch(train) [24][40/1320] lr: 2.0000e-03 eta: 2:15:15 time: 0.2235 data_time: 0.0130 memory: 11037 grad_norm: 10.5395 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8593 loss: 1.8593 2022/08/08 16:42:21 - mmengine - INFO - Epoch(train) [24][60/1320] lr: 2.0000e-03 eta: 2:15:10 time: 0.2265 data_time: 0.0150 memory: 11037 grad_norm: 10.3979 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8069 loss: 1.8069 2022/08/08 16:42:26 - mmengine - INFO - Epoch(train) [24][80/1320] lr: 2.0000e-03 eta: 2:15:06 time: 0.2274 data_time: 0.0150 memory: 11037 grad_norm: 10.4394 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5931 loss: 1.5931 2022/08/08 16:42:30 - mmengine - INFO - Epoch(train) [24][100/1320] lr: 2.0000e-03 eta: 2:15:01 time: 0.2244 data_time: 0.0138 memory: 11037 grad_norm: 10.3213 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7875 loss: 1.7875 2022/08/08 16:42:35 - mmengine - INFO - Epoch(train) [24][120/1320] lr: 2.0000e-03 eta: 2:14:56 time: 0.2251 data_time: 0.0142 memory: 11037 grad_norm: 10.5411 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0644 loss: 2.0644 2022/08/08 16:42:39 - mmengine - INFO - Epoch(train) [24][140/1320] lr: 2.0000e-03 eta: 2:14:52 time: 0.2236 data_time: 0.0125 memory: 11037 grad_norm: 10.5763 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5975 loss: 1.5975 2022/08/08 16:42:44 - mmengine - INFO - Epoch(train) [24][160/1320] lr: 2.0000e-03 eta: 2:14:47 time: 0.2348 data_time: 0.0140 memory: 11037 grad_norm: 10.5785 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7944 loss: 1.7944 2022/08/08 16:42:48 - mmengine - INFO - Epoch(train) [24][180/1320] lr: 2.0000e-03 eta: 2:14:43 time: 0.2258 data_time: 0.0170 memory: 11037 grad_norm: 10.7786 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9167 loss: 1.9167 2022/08/08 16:42:53 - mmengine - INFO - Epoch(train) [24][200/1320] lr: 2.0000e-03 eta: 2:14:38 time: 0.2396 data_time: 0.0122 memory: 11037 grad_norm: 10.5464 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8141 loss: 1.8141 2022/08/08 16:42:58 - mmengine - INFO - Epoch(train) [24][220/1320] lr: 2.0000e-03 eta: 2:14:34 time: 0.2237 data_time: 0.0133 memory: 11037 grad_norm: 10.5286 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8554 loss: 1.8554 2022/08/08 16:43:02 - mmengine - INFO - Epoch(train) [24][240/1320] lr: 2.0000e-03 eta: 2:14:29 time: 0.2295 data_time: 0.0154 memory: 11037 grad_norm: 10.7596 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7734 loss: 1.7734 2022/08/08 16:43:07 - mmengine - INFO - Epoch(train) [24][260/1320] lr: 2.0000e-03 eta: 2:14:25 time: 0.2240 data_time: 0.0136 memory: 11037 grad_norm: 10.4345 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9309 loss: 1.9309 2022/08/08 16:43:11 - mmengine - INFO - Epoch(train) [24][280/1320] lr: 2.0000e-03 eta: 2:14:20 time: 0.2240 data_time: 0.0136 memory: 11037 grad_norm: 10.6426 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8177 loss: 1.8177 2022/08/08 16:43:16 - mmengine - INFO - Epoch(train) [24][300/1320] lr: 2.0000e-03 eta: 2:14:15 time: 0.2252 data_time: 0.0141 memory: 11037 grad_norm: 10.9356 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7926 loss: 1.7926 2022/08/08 16:43:20 - mmengine - INFO - Epoch(train) [24][320/1320] lr: 2.0000e-03 eta: 2:14:11 time: 0.2225 data_time: 0.0130 memory: 11037 grad_norm: 10.1574 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7257 loss: 1.7257 2022/08/08 16:43:25 - mmengine - INFO - Epoch(train) [24][340/1320] lr: 2.0000e-03 eta: 2:14:06 time: 0.2259 data_time: 0.0148 memory: 11037 grad_norm: 10.6325 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8133 loss: 1.8133 2022/08/08 16:43:29 - mmengine - INFO - Epoch(train) [24][360/1320] lr: 2.0000e-03 eta: 2:14:01 time: 0.2248 data_time: 0.0144 memory: 11037 grad_norm: 10.2641 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7225 loss: 1.7225 2022/08/08 16:43:34 - mmengine - INFO - Epoch(train) [24][380/1320] lr: 2.0000e-03 eta: 2:13:57 time: 0.2234 data_time: 0.0117 memory: 11037 grad_norm: 10.9251 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.5525 loss: 1.5525 2022/08/08 16:43:38 - mmengine - INFO - Epoch(train) [24][400/1320] lr: 2.0000e-03 eta: 2:13:52 time: 0.2233 data_time: 0.0134 memory: 11037 grad_norm: 10.4034 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9556 loss: 1.9556 2022/08/08 16:43:43 - mmengine - INFO - Epoch(train) [24][420/1320] lr: 2.0000e-03 eta: 2:13:47 time: 0.2266 data_time: 0.0145 memory: 11037 grad_norm: 10.4691 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7273 loss: 1.7273 2022/08/08 16:43:47 - mmengine - INFO - Epoch(train) [24][440/1320] lr: 2.0000e-03 eta: 2:13:43 time: 0.2238 data_time: 0.0124 memory: 11037 grad_norm: 10.7076 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8850 loss: 1.8850 2022/08/08 16:43:52 - mmengine - INFO - Epoch(train) [24][460/1320] lr: 2.0000e-03 eta: 2:13:38 time: 0.2239 data_time: 0.0131 memory: 11037 grad_norm: 10.6319 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6207 loss: 1.6207 2022/08/08 16:43:56 - mmengine - INFO - Epoch(train) [24][480/1320] lr: 2.0000e-03 eta: 2:13:33 time: 0.2251 data_time: 0.0141 memory: 11037 grad_norm: 10.6092 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5757 loss: 1.5757 2022/08/08 16:44:01 - mmengine - INFO - Epoch(train) [24][500/1320] lr: 2.0000e-03 eta: 2:13:29 time: 0.2227 data_time: 0.0111 memory: 11037 grad_norm: 10.7097 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7986 loss: 1.7986 2022/08/08 16:44:05 - mmengine - INFO - Epoch(train) [24][520/1320] lr: 2.0000e-03 eta: 2:13:24 time: 0.2283 data_time: 0.0141 memory: 11037 grad_norm: 10.4292 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9758 loss: 1.9758 2022/08/08 16:44:10 - mmengine - INFO - Epoch(train) [24][540/1320] lr: 2.0000e-03 eta: 2:13:20 time: 0.2241 data_time: 0.0137 memory: 11037 grad_norm: 10.2389 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8223 loss: 1.8223 2022/08/08 16:44:14 - mmengine - INFO - Epoch(train) [24][560/1320] lr: 2.0000e-03 eta: 2:13:15 time: 0.2421 data_time: 0.0129 memory: 11037 grad_norm: 11.0630 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7767 loss: 1.7767 2022/08/08 16:44:19 - mmengine - INFO - Epoch(train) [24][580/1320] lr: 2.0000e-03 eta: 2:13:11 time: 0.2246 data_time: 0.0133 memory: 11037 grad_norm: 10.6314 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9332 loss: 1.9332 2022/08/08 16:44:23 - mmengine - INFO - Epoch(train) [24][600/1320] lr: 2.0000e-03 eta: 2:13:06 time: 0.2288 data_time: 0.0147 memory: 11037 grad_norm: 10.0685 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8463 loss: 1.8463 2022/08/08 16:44:28 - mmengine - INFO - Epoch(train) [24][620/1320] lr: 2.0000e-03 eta: 2:13:02 time: 0.2242 data_time: 0.0134 memory: 11037 grad_norm: 10.8008 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8688 loss: 1.8688 2022/08/08 16:44:32 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:44:32 - mmengine - INFO - Epoch(train) [24][640/1320] lr: 2.0000e-03 eta: 2:12:57 time: 0.2242 data_time: 0.0136 memory: 11037 grad_norm: 10.3507 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8513 loss: 1.8513 2022/08/08 16:44:37 - mmengine - INFO - Epoch(train) [24][660/1320] lr: 2.0000e-03 eta: 2:12:52 time: 0.2256 data_time: 0.0146 memory: 11037 grad_norm: 10.6911 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5736 loss: 1.5736 2022/08/08 16:44:41 - mmengine - INFO - Epoch(train) [24][680/1320] lr: 2.0000e-03 eta: 2:12:48 time: 0.2233 data_time: 0.0120 memory: 11037 grad_norm: 10.5854 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8947 loss: 1.8947 2022/08/08 16:44:46 - mmengine - INFO - Epoch(train) [24][700/1320] lr: 2.0000e-03 eta: 2:12:43 time: 0.2387 data_time: 0.0145 memory: 11037 grad_norm: 10.6220 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8513 loss: 1.8513 2022/08/08 16:44:51 - mmengine - INFO - Epoch(train) [24][720/1320] lr: 2.0000e-03 eta: 2:12:39 time: 0.2263 data_time: 0.0140 memory: 11037 grad_norm: 10.3572 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7749 loss: 1.7749 2022/08/08 16:44:55 - mmengine - INFO - Epoch(train) [24][740/1320] lr: 2.0000e-03 eta: 2:12:34 time: 0.2262 data_time: 0.0129 memory: 11037 grad_norm: 10.2211 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6966 loss: 1.6966 2022/08/08 16:45:00 - mmengine - INFO - Epoch(train) [24][760/1320] lr: 2.0000e-03 eta: 2:12:29 time: 0.2232 data_time: 0.0142 memory: 11037 grad_norm: 10.6694 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6828 loss: 1.6828 2022/08/08 16:45:04 - mmengine - INFO - Epoch(train) [24][780/1320] lr: 2.0000e-03 eta: 2:12:25 time: 0.2298 data_time: 0.0155 memory: 11037 grad_norm: 10.4648 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7678 loss: 1.7678 2022/08/08 16:45:09 - mmengine - INFO - Epoch(train) [24][800/1320] lr: 2.0000e-03 eta: 2:12:20 time: 0.2232 data_time: 0.0154 memory: 11037 grad_norm: 10.4092 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5511 loss: 1.5511 2022/08/08 16:45:13 - mmengine - INFO - Epoch(train) [24][820/1320] lr: 2.0000e-03 eta: 2:12:16 time: 0.2244 data_time: 0.0143 memory: 11037 grad_norm: 10.5536 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8471 loss: 1.8471 2022/08/08 16:45:18 - mmengine - INFO - Epoch(train) [24][840/1320] lr: 2.0000e-03 eta: 2:12:11 time: 0.2252 data_time: 0.0143 memory: 11037 grad_norm: 10.2723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6891 loss: 1.6891 2022/08/08 16:45:23 - mmengine - INFO - Epoch(train) [24][860/1320] lr: 2.0000e-03 eta: 2:12:07 time: 0.2363 data_time: 0.0123 memory: 11037 grad_norm: 10.1393 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8155 loss: 1.8155 2022/08/08 16:45:27 - mmengine - INFO - Epoch(train) [24][880/1320] lr: 2.0000e-03 eta: 2:12:02 time: 0.2302 data_time: 0.0151 memory: 11037 grad_norm: 10.5839 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7783 loss: 1.7783 2022/08/08 16:45:32 - mmengine - INFO - Epoch(train) [24][900/1320] lr: 2.0000e-03 eta: 2:11:57 time: 0.2240 data_time: 0.0140 memory: 11037 grad_norm: 10.3661 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8915 loss: 1.8915 2022/08/08 16:45:36 - mmengine - INFO - Epoch(train) [24][920/1320] lr: 2.0000e-03 eta: 2:11:53 time: 0.2235 data_time: 0.0131 memory: 11037 grad_norm: 10.4159 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6233 loss: 1.6233 2022/08/08 16:45:41 - mmengine - INFO - Epoch(train) [24][940/1320] lr: 2.0000e-03 eta: 2:11:48 time: 0.2235 data_time: 0.0129 memory: 11037 grad_norm: 10.7697 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6455 loss: 1.6455 2022/08/08 16:45:50 - mmengine - INFO - Epoch(train) [24][960/1320] lr: 2.0000e-03 eta: 2:11:49 time: 0.4571 data_time: 0.0157 memory: 11037 grad_norm: 9.9622 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5525 loss: 1.5525 2022/08/08 16:45:54 - mmengine - INFO - Epoch(train) [24][980/1320] lr: 2.0000e-03 eta: 2:11:44 time: 0.2239 data_time: 0.0129 memory: 11037 grad_norm: 10.2209 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8125 loss: 1.8125 2022/08/08 16:45:59 - mmengine - INFO - Epoch(train) [24][1000/1320] lr: 2.0000e-03 eta: 2:11:39 time: 0.2252 data_time: 0.0138 memory: 11037 grad_norm: 10.6473 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6920 loss: 1.6920 2022/08/08 16:46:03 - mmengine - INFO - Epoch(train) [24][1020/1320] lr: 2.0000e-03 eta: 2:11:35 time: 0.2378 data_time: 0.0154 memory: 11037 grad_norm: 10.6416 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.8537 loss: 1.8537 2022/08/08 16:46:08 - mmengine - INFO - Epoch(train) [24][1040/1320] lr: 2.0000e-03 eta: 2:11:30 time: 0.2247 data_time: 0.0129 memory: 11037 grad_norm: 10.2922 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7304 loss: 1.7304 2022/08/08 16:46:12 - mmengine - INFO - Epoch(train) [24][1060/1320] lr: 2.0000e-03 eta: 2:11:26 time: 0.2249 data_time: 0.0145 memory: 11037 grad_norm: 10.3285 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8176 loss: 1.8176 2022/08/08 16:46:17 - mmengine - INFO - Epoch(train) [24][1080/1320] lr: 2.0000e-03 eta: 2:11:21 time: 0.2244 data_time: 0.0132 memory: 11037 grad_norm: 10.5967 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7930 loss: 1.7930 2022/08/08 16:46:21 - mmengine - INFO - Epoch(train) [24][1100/1320] lr: 2.0000e-03 eta: 2:11:17 time: 0.2248 data_time: 0.0137 memory: 11037 grad_norm: 10.3621 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7335 loss: 1.7335 2022/08/08 16:46:26 - mmengine - INFO - Epoch(train) [24][1120/1320] lr: 2.0000e-03 eta: 2:11:12 time: 0.2303 data_time: 0.0151 memory: 11037 grad_norm: 10.4428 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8624 loss: 1.8624 2022/08/08 16:46:31 - mmengine - INFO - Epoch(train) [24][1140/1320] lr: 2.0000e-03 eta: 2:11:07 time: 0.2252 data_time: 0.0139 memory: 11037 grad_norm: 10.3586 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7551 loss: 1.7551 2022/08/08 16:46:35 - mmengine - INFO - Epoch(train) [24][1160/1320] lr: 2.0000e-03 eta: 2:11:03 time: 0.2246 data_time: 0.0125 memory: 11037 grad_norm: 10.3370 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6031 loss: 1.6031 2022/08/08 16:46:40 - mmengine - INFO - Epoch(train) [24][1180/1320] lr: 2.0000e-03 eta: 2:10:58 time: 0.2253 data_time: 0.0146 memory: 11037 grad_norm: 10.5560 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7227 loss: 1.7227 2022/08/08 16:46:44 - mmengine - INFO - Epoch(train) [24][1200/1320] lr: 2.0000e-03 eta: 2:10:54 time: 0.2358 data_time: 0.0160 memory: 11037 grad_norm: 10.4597 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6698 loss: 1.6698 2022/08/08 16:46:49 - mmengine - INFO - Epoch(train) [24][1220/1320] lr: 2.0000e-03 eta: 2:10:49 time: 0.2239 data_time: 0.0140 memory: 11037 grad_norm: 10.4965 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6036 loss: 1.6036 2022/08/08 16:46:53 - mmengine - INFO - Epoch(train) [24][1240/1320] lr: 2.0000e-03 eta: 2:10:45 time: 0.2269 data_time: 0.0147 memory: 11037 grad_norm: 10.3523 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8297 loss: 1.8297 2022/08/08 16:46:58 - mmengine - INFO - Epoch(train) [24][1260/1320] lr: 2.0000e-03 eta: 2:10:40 time: 0.2226 data_time: 0.0122 memory: 11037 grad_norm: 10.2113 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9541 loss: 1.9541 2022/08/08 16:47:02 - mmengine - INFO - Epoch(train) [24][1280/1320] lr: 2.0000e-03 eta: 2:10:35 time: 0.2253 data_time: 0.0121 memory: 11037 grad_norm: 10.7293 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7990 loss: 1.7990 2022/08/08 16:47:07 - mmengine - INFO - Epoch(train) [24][1300/1320] lr: 2.0000e-03 eta: 2:10:31 time: 0.2253 data_time: 0.0156 memory: 11037 grad_norm: 10.4243 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8288 loss: 1.8288 2022/08/08 16:47:11 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:47:11 - mmengine - INFO - Epoch(train) [24][1320/1320] lr: 2.0000e-03 eta: 2:10:26 time: 0.2150 data_time: 0.0128 memory: 11037 grad_norm: 10.9431 top1_acc: 0.7273 top5_acc: 0.7273 loss_cls: 1.7464 loss: 1.7464 2022/08/08 16:47:11 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/08/08 16:47:17 - mmengine - INFO - Epoch(val) [24][20/194] eta: 0:00:28 time: 0.1635 data_time: 0.0843 memory: 1858 2022/08/08 16:47:19 - mmengine - INFO - Epoch(val) [24][40/194] eta: 0:00:18 time: 0.1196 data_time: 0.0386 memory: 1858 2022/08/08 16:47:21 - mmengine - INFO - Epoch(val) [24][60/194] eta: 0:00:14 time: 0.1082 data_time: 0.0320 memory: 1858 2022/08/08 16:47:24 - mmengine - INFO - Epoch(val) [24][80/194] eta: 0:00:12 time: 0.1117 data_time: 0.0289 memory: 1858 2022/08/08 16:47:26 - mmengine - INFO - Epoch(val) [24][100/194] eta: 0:00:10 time: 0.1162 data_time: 0.0413 memory: 1858 2022/08/08 16:47:28 - mmengine - INFO - Epoch(val) [24][120/194] eta: 0:00:08 time: 0.1157 data_time: 0.0408 memory: 1858 2022/08/08 16:47:31 - mmengine - INFO - Epoch(val) [24][140/194] eta: 0:00:06 time: 0.1280 data_time: 0.0530 memory: 1858 2022/08/08 16:47:33 - mmengine - INFO - Epoch(val) [24][160/194] eta: 0:00:03 time: 0.0972 data_time: 0.0198 memory: 1858 2022/08/08 16:47:34 - mmengine - INFO - Epoch(val) [24][180/194] eta: 0:00:01 time: 0.0788 data_time: 0.0202 memory: 1858 2022/08/08 16:47:36 - mmengine - INFO - Epoch(val) [24][194/194] acc/top1: 0.4369 acc/top5: 0.7225 acc/mean1: 0.3663 2022/08/08 16:47:36 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:47:41 - mmengine - INFO - Epoch(train) [25][20/1320] lr: 2.0000e-03 eta: 2:10:22 time: 0.2631 data_time: 0.0457 memory: 11037 grad_norm: 10.6020 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7779 loss: 1.7779 2022/08/08 16:47:46 - mmengine - INFO - Epoch(train) [25][40/1320] lr: 2.0000e-03 eta: 2:10:17 time: 0.2246 data_time: 0.0135 memory: 11037 grad_norm: 10.3954 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9414 loss: 1.9414 2022/08/08 16:47:50 - mmengine - INFO - Epoch(train) [25][60/1320] lr: 2.0000e-03 eta: 2:10:13 time: 0.2254 data_time: 0.0136 memory: 11037 grad_norm: 10.8640 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6652 loss: 1.6652 2022/08/08 16:47:56 - mmengine - INFO - Epoch(train) [25][80/1320] lr: 2.0000e-03 eta: 2:10:09 time: 0.2557 data_time: 0.0155 memory: 11037 grad_norm: 10.8694 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8065 loss: 1.8065 2022/08/08 16:48:00 - mmengine - INFO - Epoch(train) [25][100/1320] lr: 2.0000e-03 eta: 2:10:04 time: 0.2242 data_time: 0.0127 memory: 11037 grad_norm: 10.4337 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6815 loss: 1.6815 2022/08/08 16:48:05 - mmengine - INFO - Epoch(train) [25][120/1320] lr: 2.0000e-03 eta: 2:09:59 time: 0.2261 data_time: 0.0147 memory: 11037 grad_norm: 10.6646 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6413 loss: 1.6413 2022/08/08 16:48:09 - mmengine - INFO - Epoch(train) [25][140/1320] lr: 2.0000e-03 eta: 2:09:55 time: 0.2257 data_time: 0.0147 memory: 11037 grad_norm: 10.7669 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5949 loss: 1.5949 2022/08/08 16:48:14 - mmengine - INFO - Epoch(train) [25][160/1320] lr: 2.0000e-03 eta: 2:09:50 time: 0.2303 data_time: 0.0128 memory: 11037 grad_norm: 10.7614 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5602 loss: 1.5602 2022/08/08 16:48:18 - mmengine - INFO - Epoch(train) [25][180/1320] lr: 2.0000e-03 eta: 2:09:46 time: 0.2240 data_time: 0.0145 memory: 11037 grad_norm: 10.3098 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9224 loss: 1.9224 2022/08/08 16:48:23 - mmengine - INFO - Epoch(train) [25][200/1320] lr: 2.0000e-03 eta: 2:09:41 time: 0.2257 data_time: 0.0149 memory: 11037 grad_norm: 10.6442 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7629 loss: 1.7629 2022/08/08 16:48:27 - mmengine - INFO - Epoch(train) [25][220/1320] lr: 2.0000e-03 eta: 2:09:36 time: 0.2247 data_time: 0.0137 memory: 11037 grad_norm: 10.3403 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8707 loss: 1.8707 2022/08/08 16:48:32 - mmengine - INFO - Epoch(train) [25][240/1320] lr: 2.0000e-03 eta: 2:09:32 time: 0.2240 data_time: 0.0134 memory: 11037 grad_norm: 10.5519 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9321 loss: 1.9321 2022/08/08 16:48:36 - mmengine - INFO - Epoch(train) [25][260/1320] lr: 2.0000e-03 eta: 2:09:27 time: 0.2266 data_time: 0.0144 memory: 11037 grad_norm: 10.4997 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7845 loss: 1.7845 2022/08/08 16:48:41 - mmengine - INFO - Epoch(train) [25][280/1320] lr: 2.0000e-03 eta: 2:09:23 time: 0.2236 data_time: 0.0144 memory: 11037 grad_norm: 10.7654 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7225 loss: 1.7225 2022/08/08 16:48:45 - mmengine - INFO - Epoch(train) [25][300/1320] lr: 2.0000e-03 eta: 2:09:18 time: 0.2338 data_time: 0.0135 memory: 11037 grad_norm: 10.8798 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7789 loss: 1.7789 2022/08/08 16:48:50 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:48:50 - mmengine - INFO - Epoch(train) [25][320/1320] lr: 2.0000e-03 eta: 2:09:13 time: 0.2239 data_time: 0.0146 memory: 11037 grad_norm: 10.7226 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.8004 loss: 1.8004 2022/08/08 16:48:54 - mmengine - INFO - Epoch(train) [25][340/1320] lr: 2.0000e-03 eta: 2:09:09 time: 0.2276 data_time: 0.0148 memory: 11037 grad_norm: 10.4130 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.6870 loss: 1.6870 2022/08/08 16:48:59 - mmengine - INFO - Epoch(train) [25][360/1320] lr: 2.0000e-03 eta: 2:09:04 time: 0.2246 data_time: 0.0138 memory: 11037 grad_norm: 10.5268 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7958 loss: 1.7958 2022/08/08 16:49:04 - mmengine - INFO - Epoch(train) [25][380/1320] lr: 2.0000e-03 eta: 2:09:00 time: 0.2302 data_time: 0.0147 memory: 11037 grad_norm: 10.4269 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6134 loss: 1.6134 2022/08/08 16:49:08 - mmengine - INFO - Epoch(train) [25][400/1320] lr: 2.0000e-03 eta: 2:08:55 time: 0.2234 data_time: 0.0115 memory: 11037 grad_norm: 10.7923 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8063 loss: 1.8063 2022/08/08 16:49:13 - mmengine - INFO - Epoch(train) [25][420/1320] lr: 2.0000e-03 eta: 2:08:51 time: 0.2285 data_time: 0.0156 memory: 11037 grad_norm: 10.7602 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8295 loss: 1.8295 2022/08/08 16:49:17 - mmengine - INFO - Epoch(train) [25][440/1320] lr: 2.0000e-03 eta: 2:08:46 time: 0.2245 data_time: 0.0165 memory: 11037 grad_norm: 10.6751 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6456 loss: 1.6456 2022/08/08 16:49:22 - mmengine - INFO - Epoch(train) [25][460/1320] lr: 2.0000e-03 eta: 2:08:41 time: 0.2246 data_time: 0.0132 memory: 11037 grad_norm: 10.4466 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7054 loss: 1.7054 2022/08/08 16:49:26 - mmengine - INFO - Epoch(train) [25][480/1320] lr: 2.0000e-03 eta: 2:08:37 time: 0.2251 data_time: 0.0144 memory: 11037 grad_norm: 10.6811 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7155 loss: 1.7155 2022/08/08 16:49:31 - mmengine - INFO - Epoch(train) [25][500/1320] lr: 2.0000e-03 eta: 2:08:32 time: 0.2257 data_time: 0.0139 memory: 11037 grad_norm: 10.3361 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5292 loss: 1.5292 2022/08/08 16:49:35 - mmengine - INFO - Epoch(train) [25][520/1320] lr: 2.0000e-03 eta: 2:08:27 time: 0.2282 data_time: 0.0120 memory: 11037 grad_norm: 10.5352 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.6274 loss: 1.6274 2022/08/08 16:49:40 - mmengine - INFO - Epoch(train) [25][540/1320] lr: 2.0000e-03 eta: 2:08:23 time: 0.2246 data_time: 0.0139 memory: 11037 grad_norm: 10.7059 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7926 loss: 1.7926 2022/08/08 16:49:44 - mmengine - INFO - Epoch(train) [25][560/1320] lr: 2.0000e-03 eta: 2:08:18 time: 0.2255 data_time: 0.0153 memory: 11037 grad_norm: 10.2086 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7368 loss: 1.7368 2022/08/08 16:49:49 - mmengine - INFO - Epoch(train) [25][580/1320] lr: 2.0000e-03 eta: 2:08:14 time: 0.2229 data_time: 0.0120 memory: 11037 grad_norm: 10.4075 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6727 loss: 1.6727 2022/08/08 16:49:53 - mmengine - INFO - Epoch(train) [25][600/1320] lr: 2.0000e-03 eta: 2:08:09 time: 0.2277 data_time: 0.0135 memory: 11037 grad_norm: 11.1420 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6449 loss: 1.6449 2022/08/08 16:49:58 - mmengine - INFO - Epoch(train) [25][620/1320] lr: 2.0000e-03 eta: 2:08:04 time: 0.2251 data_time: 0.0145 memory: 11037 grad_norm: 10.6960 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8629 loss: 1.8629 2022/08/08 16:50:02 - mmengine - INFO - Epoch(train) [25][640/1320] lr: 2.0000e-03 eta: 2:08:00 time: 0.2238 data_time: 0.0129 memory: 11037 grad_norm: 10.4282 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8336 loss: 1.8336 2022/08/08 16:50:07 - mmengine - INFO - Epoch(train) [25][660/1320] lr: 2.0000e-03 eta: 2:07:55 time: 0.2252 data_time: 0.0141 memory: 11037 grad_norm: 10.8031 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9120 loss: 1.9120 2022/08/08 16:50:11 - mmengine - INFO - Epoch(train) [25][680/1320] lr: 2.0000e-03 eta: 2:07:50 time: 0.2246 data_time: 0.0165 memory: 11037 grad_norm: 10.2635 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8057 loss: 1.8057 2022/08/08 16:50:16 - mmengine - INFO - Epoch(train) [25][700/1320] lr: 2.0000e-03 eta: 2:07:46 time: 0.2284 data_time: 0.0131 memory: 11037 grad_norm: 10.5825 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8000 loss: 1.8000 2022/08/08 16:50:20 - mmengine - INFO - Epoch(train) [25][720/1320] lr: 2.0000e-03 eta: 2:07:41 time: 0.2240 data_time: 0.0135 memory: 11037 grad_norm: 10.5041 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8699 loss: 1.8699 2022/08/08 16:50:25 - mmengine - INFO - Epoch(train) [25][740/1320] lr: 2.0000e-03 eta: 2:07:37 time: 0.2276 data_time: 0.0149 memory: 11037 grad_norm: 10.7200 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7593 loss: 1.7593 2022/08/08 16:50:29 - mmengine - INFO - Epoch(train) [25][760/1320] lr: 2.0000e-03 eta: 2:07:32 time: 0.2232 data_time: 0.0129 memory: 11037 grad_norm: 10.3128 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7193 loss: 1.7193 2022/08/08 16:50:34 - mmengine - INFO - Epoch(train) [25][780/1320] lr: 2.0000e-03 eta: 2:07:28 time: 0.2339 data_time: 0.0136 memory: 11037 grad_norm: 10.5217 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6352 loss: 1.6352 2022/08/08 16:50:38 - mmengine - INFO - Epoch(train) [25][800/1320] lr: 2.0000e-03 eta: 2:07:23 time: 0.2240 data_time: 0.0146 memory: 11037 grad_norm: 10.6473 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7247 loss: 1.7247 2022/08/08 16:50:43 - mmengine - INFO - Epoch(train) [25][820/1320] lr: 2.0000e-03 eta: 2:07:19 time: 0.2501 data_time: 0.0143 memory: 11037 grad_norm: 10.6353 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7216 loss: 1.7216 2022/08/08 16:50:48 - mmengine - INFO - Epoch(train) [25][840/1320] lr: 2.0000e-03 eta: 2:07:14 time: 0.2246 data_time: 0.0130 memory: 11037 grad_norm: 10.7449 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6970 loss: 1.6970 2022/08/08 16:50:52 - mmengine - INFO - Epoch(train) [25][860/1320] lr: 2.0000e-03 eta: 2:07:10 time: 0.2243 data_time: 0.0140 memory: 11037 grad_norm: 10.5917 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6838 loss: 1.6838 2022/08/08 16:50:57 - mmengine - INFO - Epoch(train) [25][880/1320] lr: 2.0000e-03 eta: 2:07:05 time: 0.2242 data_time: 0.0134 memory: 11037 grad_norm: 10.5061 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7487 loss: 1.7487 2022/08/08 16:51:01 - mmengine - INFO - Epoch(train) [25][900/1320] lr: 2.0000e-03 eta: 2:07:00 time: 0.2250 data_time: 0.0136 memory: 11037 grad_norm: 10.7477 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7334 loss: 1.7334 2022/08/08 16:51:06 - mmengine - INFO - Epoch(train) [25][920/1320] lr: 2.0000e-03 eta: 2:06:56 time: 0.2364 data_time: 0.0145 memory: 11037 grad_norm: 10.4221 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7368 loss: 1.7368 2022/08/08 16:51:11 - mmengine - INFO - Epoch(train) [25][940/1320] lr: 2.0000e-03 eta: 2:06:51 time: 0.2243 data_time: 0.0128 memory: 11037 grad_norm: 10.4017 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 1.9447 loss: 1.9447 2022/08/08 16:51:15 - mmengine - INFO - Epoch(train) [25][960/1320] lr: 2.0000e-03 eta: 2:06:47 time: 0.2226 data_time: 0.0124 memory: 11037 grad_norm: 10.6497 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7027 loss: 1.7027 2022/08/08 16:51:20 - mmengine - INFO - Epoch(train) [25][980/1320] lr: 2.0000e-03 eta: 2:06:42 time: 0.2244 data_time: 0.0156 memory: 11037 grad_norm: 10.5360 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8519 loss: 1.8519 2022/08/08 16:51:24 - mmengine - INFO - Epoch(train) [25][1000/1320] lr: 2.0000e-03 eta: 2:06:37 time: 0.2307 data_time: 0.0144 memory: 11037 grad_norm: 10.3862 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5888 loss: 1.5888 2022/08/08 16:51:29 - mmengine - INFO - Epoch(train) [25][1020/1320] lr: 2.0000e-03 eta: 2:06:33 time: 0.2244 data_time: 0.0133 memory: 11037 grad_norm: 10.2160 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7940 loss: 1.7940 2022/08/08 16:51:33 - mmengine - INFO - Epoch(train) [25][1040/1320] lr: 2.0000e-03 eta: 2:06:28 time: 0.2259 data_time: 0.0140 memory: 11037 grad_norm: 10.5025 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9408 loss: 1.9408 2022/08/08 16:51:38 - mmengine - INFO - Epoch(train) [25][1060/1320] lr: 2.0000e-03 eta: 2:06:24 time: 0.2266 data_time: 0.0134 memory: 11037 grad_norm: 10.7869 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7373 loss: 1.7373 2022/08/08 16:51:42 - mmengine - INFO - Epoch(train) [25][1080/1320] lr: 2.0000e-03 eta: 2:06:19 time: 0.2241 data_time: 0.0132 memory: 11037 grad_norm: 10.4961 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7557 loss: 1.7557 2022/08/08 16:51:47 - mmengine - INFO - Epoch(train) [25][1100/1320] lr: 2.0000e-03 eta: 2:06:14 time: 0.2252 data_time: 0.0135 memory: 11037 grad_norm: 10.6006 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6777 loss: 1.6777 2022/08/08 16:51:51 - mmengine - INFO - Epoch(train) [25][1120/1320] lr: 2.0000e-03 eta: 2:06:10 time: 0.2235 data_time: 0.0133 memory: 11037 grad_norm: 10.4207 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9182 loss: 1.9182 2022/08/08 16:51:56 - mmengine - INFO - Epoch(train) [25][1140/1320] lr: 2.0000e-03 eta: 2:06:05 time: 0.2254 data_time: 0.0126 memory: 11037 grad_norm: 10.4258 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6452 loss: 1.6452 2022/08/08 16:52:00 - mmengine - INFO - Epoch(train) [25][1160/1320] lr: 2.0000e-03 eta: 2:06:01 time: 0.2254 data_time: 0.0147 memory: 11037 grad_norm: 10.7722 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9178 loss: 1.9178 2022/08/08 16:52:05 - mmengine - INFO - Epoch(train) [25][1180/1320] lr: 2.0000e-03 eta: 2:05:56 time: 0.2258 data_time: 0.0139 memory: 11037 grad_norm: 10.6484 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9151 loss: 1.9151 2022/08/08 16:52:09 - mmengine - INFO - Epoch(train) [25][1200/1320] lr: 2.0000e-03 eta: 2:05:51 time: 0.2239 data_time: 0.0132 memory: 11037 grad_norm: 10.5076 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7368 loss: 1.7368 2022/08/08 16:52:14 - mmengine - INFO - Epoch(train) [25][1220/1320] lr: 2.0000e-03 eta: 2:05:47 time: 0.2281 data_time: 0.0140 memory: 11037 grad_norm: 10.1455 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7014 loss: 1.7014 2022/08/08 16:52:18 - mmengine - INFO - Epoch(train) [25][1240/1320] lr: 2.0000e-03 eta: 2:05:42 time: 0.2234 data_time: 0.0126 memory: 11037 grad_norm: 10.7729 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7266 loss: 1.7266 2022/08/08 16:52:23 - mmengine - INFO - Epoch(train) [25][1260/1320] lr: 2.0000e-03 eta: 2:05:37 time: 0.2243 data_time: 0.0140 memory: 11037 grad_norm: 10.3406 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6366 loss: 1.6366 2022/08/08 16:52:27 - mmengine - INFO - Epoch(train) [25][1280/1320] lr: 2.0000e-03 eta: 2:05:33 time: 0.2248 data_time: 0.0142 memory: 11037 grad_norm: 10.7831 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6984 loss: 1.6984 2022/08/08 16:52:32 - mmengine - INFO - Epoch(train) [25][1300/1320] lr: 2.0000e-03 eta: 2:05:28 time: 0.2235 data_time: 0.0125 memory: 11037 grad_norm: 10.4124 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 1.8538 loss: 1.8538 2022/08/08 16:52:36 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:52:36 - mmengine - INFO - Epoch(train) [25][1320/1320] lr: 2.0000e-03 eta: 2:05:23 time: 0.2177 data_time: 0.0133 memory: 11037 grad_norm: 10.4746 top1_acc: 0.4545 top5_acc: 0.8182 loss_cls: 1.9506 loss: 1.9506 2022/08/08 16:52:36 - mmengine - INFO - Saving checkpoint at 25 epochs 2022/08/08 16:52:42 - mmengine - INFO - Epoch(val) [25][20/194] eta: 0:00:29 time: 0.1677 data_time: 0.0901 memory: 1858 2022/08/08 16:52:44 - mmengine - INFO - Epoch(val) [25][40/194] eta: 0:00:17 time: 0.1126 data_time: 0.0376 memory: 1858 2022/08/08 16:52:47 - mmengine - INFO - Epoch(val) [25][60/194] eta: 0:00:16 time: 0.1196 data_time: 0.0429 memory: 1858 2022/08/08 16:52:49 - mmengine - INFO - Epoch(val) [25][80/194] eta: 0:00:12 time: 0.1087 data_time: 0.0317 memory: 1858 2022/08/08 16:52:51 - mmengine - INFO - Epoch(val) [25][100/194] eta: 0:00:11 time: 0.1217 data_time: 0.0470 memory: 1858 2022/08/08 16:52:53 - mmengine - INFO - Epoch(val) [25][120/194] eta: 0:00:08 time: 0.1161 data_time: 0.0363 memory: 1858 2022/08/08 16:52:56 - mmengine - INFO - Epoch(val) [25][140/194] eta: 0:00:06 time: 0.1184 data_time: 0.0406 memory: 1858 2022/08/08 16:52:58 - mmengine - INFO - Epoch(val) [25][160/194] eta: 0:00:03 time: 0.1006 data_time: 0.0288 memory: 1858 2022/08/08 16:52:59 - mmengine - INFO - Epoch(val) [25][180/194] eta: 0:00:01 time: 0.0718 data_time: 0.0159 memory: 1858 2022/08/08 16:53:01 - mmengine - INFO - Epoch(val) [25][194/194] acc/top1: 0.4421 acc/top5: 0.7257 acc/mean1: 0.3642 2022/08/08 16:53:01 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:53:06 - mmengine - INFO - Epoch(train) [26][20/1320] lr: 2.0000e-03 eta: 2:05:20 time: 0.2642 data_time: 0.0485 memory: 11037 grad_norm: 10.6801 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8222 loss: 1.8222 2022/08/08 16:53:11 - mmengine - INFO - Epoch(train) [26][40/1320] lr: 2.0000e-03 eta: 2:05:15 time: 0.2244 data_time: 0.0133 memory: 11037 grad_norm: 10.5884 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7407 loss: 1.7407 2022/08/08 16:53:15 - mmengine - INFO - Epoch(train) [26][60/1320] lr: 2.0000e-03 eta: 2:05:10 time: 0.2296 data_time: 0.0129 memory: 11037 grad_norm: 10.7171 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7881 loss: 1.7881 2022/08/08 16:53:20 - mmengine - INFO - Epoch(train) [26][80/1320] lr: 2.0000e-03 eta: 2:05:06 time: 0.2255 data_time: 0.0159 memory: 11037 grad_norm: 10.8385 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7473 loss: 1.7473 2022/08/08 16:53:24 - mmengine - INFO - Epoch(train) [26][100/1320] lr: 2.0000e-03 eta: 2:05:01 time: 0.2252 data_time: 0.0147 memory: 11037 grad_norm: 10.7095 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6401 loss: 1.6401 2022/08/08 16:53:29 - mmengine - INFO - Epoch(train) [26][120/1320] lr: 2.0000e-03 eta: 2:04:57 time: 0.2243 data_time: 0.0137 memory: 11037 grad_norm: 10.5027 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7550 loss: 1.7550 2022/08/08 16:53:33 - mmengine - INFO - Epoch(train) [26][140/1320] lr: 2.0000e-03 eta: 2:04:52 time: 0.2279 data_time: 0.0142 memory: 11037 grad_norm: 10.6093 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7556 loss: 1.7556 2022/08/08 16:53:38 - mmengine - INFO - Epoch(train) [26][160/1320] lr: 2.0000e-03 eta: 2:04:47 time: 0.2258 data_time: 0.0137 memory: 11037 grad_norm: 10.6617 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7175 loss: 1.7175 2022/08/08 16:53:42 - mmengine - INFO - Epoch(train) [26][180/1320] lr: 2.0000e-03 eta: 2:04:43 time: 0.2241 data_time: 0.0132 memory: 11037 grad_norm: 10.7880 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7437 loss: 1.7437 2022/08/08 16:53:47 - mmengine - INFO - Epoch(train) [26][200/1320] lr: 2.0000e-03 eta: 2:04:38 time: 0.2261 data_time: 0.0153 memory: 11037 grad_norm: 10.7847 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6482 loss: 1.6482 2022/08/08 16:53:51 - mmengine - INFO - Epoch(train) [26][220/1320] lr: 2.0000e-03 eta: 2:04:34 time: 0.2253 data_time: 0.0153 memory: 11037 grad_norm: 10.7278 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9633 loss: 1.9633 2022/08/08 16:53:56 - mmengine - INFO - Epoch(train) [26][240/1320] lr: 2.0000e-03 eta: 2:04:29 time: 0.2250 data_time: 0.0134 memory: 11037 grad_norm: 10.5506 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6177 loss: 1.6177 2022/08/08 16:54:00 - mmengine - INFO - Epoch(train) [26][260/1320] lr: 2.0000e-03 eta: 2:04:24 time: 0.2234 data_time: 0.0135 memory: 11037 grad_norm: 10.6280 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7249 loss: 1.7249 2022/08/08 16:54:05 - mmengine - INFO - Epoch(train) [26][280/1320] lr: 2.0000e-03 eta: 2:04:20 time: 0.2298 data_time: 0.0144 memory: 11037 grad_norm: 10.6034 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7594 loss: 1.7594 2022/08/08 16:54:10 - mmengine - INFO - Epoch(train) [26][300/1320] lr: 2.0000e-03 eta: 2:04:15 time: 0.2241 data_time: 0.0141 memory: 11037 grad_norm: 10.4978 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6867 loss: 1.6867 2022/08/08 16:54:14 - mmengine - INFO - Epoch(train) [26][320/1320] lr: 2.0000e-03 eta: 2:04:10 time: 0.2259 data_time: 0.0152 memory: 11037 grad_norm: 10.7510 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6372 loss: 1.6372 2022/08/08 16:54:19 - mmengine - INFO - Epoch(train) [26][340/1320] lr: 2.0000e-03 eta: 2:04:06 time: 0.2231 data_time: 0.0133 memory: 11037 grad_norm: 10.4221 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7949 loss: 1.7949 2022/08/08 16:54:23 - mmengine - INFO - Epoch(train) [26][360/1320] lr: 2.0000e-03 eta: 2:04:01 time: 0.2273 data_time: 0.0133 memory: 11037 grad_norm: 10.7734 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7382 loss: 1.7382 2022/08/08 16:54:28 - mmengine - INFO - Epoch(train) [26][380/1320] lr: 2.0000e-03 eta: 2:03:57 time: 0.2241 data_time: 0.0145 memory: 11037 grad_norm: 10.5175 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7328 loss: 1.7328 2022/08/08 16:54:32 - mmengine - INFO - Epoch(train) [26][400/1320] lr: 2.0000e-03 eta: 2:03:52 time: 0.2246 data_time: 0.0134 memory: 11037 grad_norm: 10.3479 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5269 loss: 1.5269 2022/08/08 16:54:37 - mmengine - INFO - Epoch(train) [26][420/1320] lr: 2.0000e-03 eta: 2:03:47 time: 0.2265 data_time: 0.0136 memory: 11037 grad_norm: 10.7475 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6141 loss: 1.6141 2022/08/08 16:54:41 - mmengine - INFO - Epoch(train) [26][440/1320] lr: 2.0000e-03 eta: 2:03:43 time: 0.2288 data_time: 0.0162 memory: 11037 grad_norm: 10.4850 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7646 loss: 1.7646 2022/08/08 16:54:46 - mmengine - INFO - Epoch(train) [26][460/1320] lr: 2.0000e-03 eta: 2:03:38 time: 0.2260 data_time: 0.0127 memory: 11037 grad_norm: 10.3121 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5509 loss: 1.5509 2022/08/08 16:54:50 - mmengine - INFO - Epoch(train) [26][480/1320] lr: 2.0000e-03 eta: 2:03:34 time: 0.2241 data_time: 0.0131 memory: 11037 grad_norm: 10.9714 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7519 loss: 1.7519 2022/08/08 16:54:55 - mmengine - INFO - Epoch(train) [26][500/1320] lr: 2.0000e-03 eta: 2:03:29 time: 0.2294 data_time: 0.0153 memory: 11037 grad_norm: 10.7038 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7666 loss: 1.7666 2022/08/08 16:54:59 - mmengine - INFO - Epoch(train) [26][520/1320] lr: 2.0000e-03 eta: 2:03:24 time: 0.2233 data_time: 0.0136 memory: 11037 grad_norm: 10.7696 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6667 loss: 1.6667 2022/08/08 16:55:04 - mmengine - INFO - Epoch(train) [26][540/1320] lr: 2.0000e-03 eta: 2:03:20 time: 0.2251 data_time: 0.0128 memory: 11037 grad_norm: 10.7787 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9204 loss: 1.9204 2022/08/08 16:55:08 - mmengine - INFO - Epoch(train) [26][560/1320] lr: 2.0000e-03 eta: 2:03:15 time: 0.2250 data_time: 0.0148 memory: 11037 grad_norm: 10.2961 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6862 loss: 1.6862 2022/08/08 16:55:13 - mmengine - INFO - Epoch(train) [26][580/1320] lr: 2.0000e-03 eta: 2:03:11 time: 0.2307 data_time: 0.0135 memory: 11037 grad_norm: 10.6186 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7953 loss: 1.7953 2022/08/08 16:55:18 - mmengine - INFO - Epoch(train) [26][600/1320] lr: 2.0000e-03 eta: 2:03:06 time: 0.2337 data_time: 0.0116 memory: 11037 grad_norm: 10.7899 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8624 loss: 1.8624 2022/08/08 16:55:22 - mmengine - INFO - Epoch(train) [26][620/1320] lr: 2.0000e-03 eta: 2:03:02 time: 0.2249 data_time: 0.0143 memory: 11037 grad_norm: 10.8546 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6760 loss: 1.6760 2022/08/08 16:55:27 - mmengine - INFO - Epoch(train) [26][640/1320] lr: 2.0000e-03 eta: 2:02:57 time: 0.2245 data_time: 0.0123 memory: 11037 grad_norm: 10.9375 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8104 loss: 1.8104 2022/08/08 16:55:31 - mmengine - INFO - Epoch(train) [26][660/1320] lr: 2.0000e-03 eta: 2:02:52 time: 0.2238 data_time: 0.0134 memory: 11037 grad_norm: 10.7768 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8717 loss: 1.8717 2022/08/08 16:55:36 - mmengine - INFO - Epoch(train) [26][680/1320] lr: 2.0000e-03 eta: 2:02:48 time: 0.2291 data_time: 0.0143 memory: 11037 grad_norm: 10.8164 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7018 loss: 1.7018 2022/08/08 16:55:40 - mmengine - INFO - Epoch(train) [26][700/1320] lr: 2.0000e-03 eta: 2:02:43 time: 0.2239 data_time: 0.0134 memory: 11037 grad_norm: 10.8680 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6805 loss: 1.6805 2022/08/08 16:55:45 - mmengine - INFO - Epoch(train) [26][720/1320] lr: 2.0000e-03 eta: 2:02:39 time: 0.2243 data_time: 0.0123 memory: 11037 grad_norm: 10.5042 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5614 loss: 1.5614 2022/08/08 16:55:49 - mmengine - INFO - Epoch(train) [26][740/1320] lr: 2.0000e-03 eta: 2:02:34 time: 0.2253 data_time: 0.0144 memory: 11037 grad_norm: 10.8020 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7209 loss: 1.7209 2022/08/08 16:55:54 - mmengine - INFO - Epoch(train) [26][760/1320] lr: 2.0000e-03 eta: 2:02:29 time: 0.2301 data_time: 0.0126 memory: 11037 grad_norm: 10.5109 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5890 loss: 1.5890 2022/08/08 16:55:58 - mmengine - INFO - Epoch(train) [26][780/1320] lr: 2.0000e-03 eta: 2:02:25 time: 0.2237 data_time: 0.0146 memory: 11037 grad_norm: 10.2952 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5514 loss: 1.5514 2022/08/08 16:56:03 - mmengine - INFO - Epoch(train) [26][800/1320] lr: 2.0000e-03 eta: 2:02:20 time: 0.2254 data_time: 0.0147 memory: 11037 grad_norm: 10.6862 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6875 loss: 1.6875 2022/08/08 16:56:07 - mmengine - INFO - Epoch(train) [26][820/1320] lr: 2.0000e-03 eta: 2:02:16 time: 0.2271 data_time: 0.0134 memory: 11037 grad_norm: 10.3780 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5230 loss: 1.5230 2022/08/08 16:56:12 - mmengine - INFO - Epoch(train) [26][840/1320] lr: 2.0000e-03 eta: 2:02:11 time: 0.2240 data_time: 0.0127 memory: 11037 grad_norm: 10.1811 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6702 loss: 1.6702 2022/08/08 16:56:16 - mmengine - INFO - Epoch(train) [26][860/1320] lr: 2.0000e-03 eta: 2:02:06 time: 0.2264 data_time: 0.0149 memory: 11037 grad_norm: 10.6382 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7710 loss: 1.7710 2022/08/08 16:56:21 - mmengine - INFO - Epoch(train) [26][880/1320] lr: 2.0000e-03 eta: 2:02:02 time: 0.2231 data_time: 0.0129 memory: 11037 grad_norm: 10.8908 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7837 loss: 1.7837 2022/08/08 16:56:25 - mmengine - INFO - Epoch(train) [26][900/1320] lr: 2.0000e-03 eta: 2:01:57 time: 0.2275 data_time: 0.0136 memory: 11037 grad_norm: 10.8452 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7032 loss: 1.7032 2022/08/08 16:56:30 - mmengine - INFO - Epoch(train) [26][920/1320] lr: 2.0000e-03 eta: 2:01:53 time: 0.2255 data_time: 0.0151 memory: 11037 grad_norm: 10.5149 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7602 loss: 1.7602 2022/08/08 16:56:34 - mmengine - INFO - Epoch(train) [26][940/1320] lr: 2.0000e-03 eta: 2:01:48 time: 0.2235 data_time: 0.0122 memory: 11037 grad_norm: 10.2041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9314 loss: 1.9314 2022/08/08 16:56:39 - mmengine - INFO - Epoch(train) [26][960/1320] lr: 2.0000e-03 eta: 2:01:43 time: 0.2237 data_time: 0.0131 memory: 11037 grad_norm: 10.4334 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9581 loss: 1.9581 2022/08/08 16:56:43 - mmengine - INFO - Epoch(train) [26][980/1320] lr: 2.0000e-03 eta: 2:01:39 time: 0.2317 data_time: 0.0158 memory: 11037 grad_norm: 10.5800 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8894 loss: 1.8894 2022/08/08 16:56:48 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:56:48 - mmengine - INFO - Epoch(train) [26][1000/1320] lr: 2.0000e-03 eta: 2:01:34 time: 0.2233 data_time: 0.0130 memory: 11037 grad_norm: 10.5815 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5511 loss: 1.5511 2022/08/08 16:56:52 - mmengine - INFO - Epoch(train) [26][1020/1320] lr: 2.0000e-03 eta: 2:01:30 time: 0.2241 data_time: 0.0131 memory: 11037 grad_norm: 10.4531 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8511 loss: 1.8511 2022/08/08 16:56:57 - mmengine - INFO - Epoch(train) [26][1040/1320] lr: 2.0000e-03 eta: 2:01:25 time: 0.2264 data_time: 0.0153 memory: 11037 grad_norm: 10.4950 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7456 loss: 1.7456 2022/08/08 16:57:01 - mmengine - INFO - Epoch(train) [26][1060/1320] lr: 2.0000e-03 eta: 2:01:20 time: 0.2224 data_time: 0.0152 memory: 11037 grad_norm: 10.5762 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7117 loss: 1.7117 2022/08/08 16:57:06 - mmengine - INFO - Epoch(train) [26][1080/1320] lr: 2.0000e-03 eta: 2:01:16 time: 0.2373 data_time: 0.0148 memory: 11037 grad_norm: 11.1313 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5508 loss: 1.5508 2022/08/08 16:57:11 - mmengine - INFO - Epoch(train) [26][1100/1320] lr: 2.0000e-03 eta: 2:01:11 time: 0.2264 data_time: 0.0151 memory: 11037 grad_norm: 10.7838 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6736 loss: 1.6736 2022/08/08 16:57:15 - mmengine - INFO - Epoch(train) [26][1120/1320] lr: 2.0000e-03 eta: 2:01:07 time: 0.2259 data_time: 0.0129 memory: 11037 grad_norm: 10.6793 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6777 loss: 1.6777 2022/08/08 16:57:20 - mmengine - INFO - Epoch(train) [26][1140/1320] lr: 2.0000e-03 eta: 2:01:02 time: 0.2251 data_time: 0.0142 memory: 11037 grad_norm: 10.7566 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5874 loss: 1.5874 2022/08/08 16:57:24 - mmengine - INFO - Epoch(train) [26][1160/1320] lr: 2.0000e-03 eta: 2:00:58 time: 0.2300 data_time: 0.0162 memory: 11037 grad_norm: 10.2759 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6532 loss: 1.6532 2022/08/08 16:57:29 - mmengine - INFO - Epoch(train) [26][1180/1320] lr: 2.0000e-03 eta: 2:00:53 time: 0.2233 data_time: 0.0132 memory: 11037 grad_norm: 10.7088 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7652 loss: 1.7652 2022/08/08 16:57:33 - mmengine - INFO - Epoch(train) [26][1200/1320] lr: 2.0000e-03 eta: 2:00:48 time: 0.2248 data_time: 0.0158 memory: 11037 grad_norm: 10.2086 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7316 loss: 1.7316 2022/08/08 16:57:38 - mmengine - INFO - Epoch(train) [26][1220/1320] lr: 2.0000e-03 eta: 2:00:44 time: 0.2249 data_time: 0.0143 memory: 11037 grad_norm: 10.4048 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5838 loss: 1.5838 2022/08/08 16:57:42 - mmengine - INFO - Epoch(train) [26][1240/1320] lr: 2.0000e-03 eta: 2:00:39 time: 0.2317 data_time: 0.0133 memory: 11037 grad_norm: 10.2551 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7150 loss: 1.7150 2022/08/08 16:57:47 - mmengine - INFO - Epoch(train) [26][1260/1320] lr: 2.0000e-03 eta: 2:00:35 time: 0.2244 data_time: 0.0132 memory: 11037 grad_norm: 10.9128 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7288 loss: 1.7288 2022/08/08 16:57:51 - mmengine - INFO - Epoch(train) [26][1280/1320] lr: 2.0000e-03 eta: 2:00:30 time: 0.2250 data_time: 0.0139 memory: 11037 grad_norm: 10.7864 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6111 loss: 1.6111 2022/08/08 16:57:56 - mmengine - INFO - Epoch(train) [26][1300/1320] lr: 2.0000e-03 eta: 2:00:25 time: 0.2276 data_time: 0.0148 memory: 11037 grad_norm: 10.2573 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6735 loss: 1.6735 2022/08/08 16:58:00 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 16:58:00 - mmengine - INFO - Epoch(train) [26][1320/1320] lr: 2.0000e-03 eta: 2:00:21 time: 0.2135 data_time: 0.0135 memory: 11037 grad_norm: 10.4754 top1_acc: 0.5455 top5_acc: 0.6364 loss_cls: 1.6180 loss: 1.6180 2022/08/08 16:58:00 - mmengine - INFO - Saving checkpoint at 26 epochs 2022/08/08 16:58:06 - mmengine - INFO - Epoch(val) [26][20/194] eta: 0:00:28 time: 0.1660 data_time: 0.0891 memory: 1858 2022/08/08 16:58:08 - mmengine - INFO - Epoch(val) [26][40/194] eta: 0:00:17 time: 0.1136 data_time: 0.0391 memory: 1858 2022/08/08 16:58:10 - mmengine - INFO - Epoch(val) [26][60/194] eta: 0:00:16 time: 0.1203 data_time: 0.0421 memory: 1858 2022/08/08 16:58:12 - mmengine - INFO - Epoch(val) [26][80/194] eta: 0:00:11 time: 0.1021 data_time: 0.0290 memory: 1858 2022/08/08 16:58:15 - mmengine - INFO - Epoch(val) [26][100/194] eta: 0:00:11 time: 0.1244 data_time: 0.0430 memory: 1858 2022/08/08 16:58:17 - mmengine - INFO - Epoch(val) [26][120/194] eta: 0:00:08 time: 0.1126 data_time: 0.0329 memory: 1858 2022/08/08 16:58:20 - mmengine - INFO - Epoch(val) [26][140/194] eta: 0:00:06 time: 0.1199 data_time: 0.0384 memory: 1858 2022/08/08 16:58:22 - mmengine - INFO - Epoch(val) [26][160/194] eta: 0:00:03 time: 0.0995 data_time: 0.0186 memory: 1858 2022/08/08 16:58:23 - mmengine - INFO - Epoch(val) [26][180/194] eta: 0:00:01 time: 0.0732 data_time: 0.0159 memory: 1858 2022/08/08 16:58:25 - mmengine - INFO - Epoch(val) [26][194/194] acc/top1: 0.4381 acc/top5: 0.7265 acc/mean1: 0.3633 2022/08/08 16:58:25 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 16:58:30 - mmengine - INFO - Epoch(train) [27][20/1320] lr: 2.0000e-03 eta: 2:00:17 time: 0.2639 data_time: 0.0485 memory: 11037 grad_norm: 10.5401 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6547 loss: 1.6547 2022/08/08 16:58:35 - mmengine - INFO - Epoch(train) [27][40/1320] lr: 2.0000e-03 eta: 2:00:12 time: 0.2257 data_time: 0.0134 memory: 11037 grad_norm: 10.4305 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6736 loss: 1.6736 2022/08/08 16:58:39 - mmengine - INFO - Epoch(train) [27][60/1320] lr: 2.0000e-03 eta: 2:00:07 time: 0.2262 data_time: 0.0147 memory: 11037 grad_norm: 10.2630 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6412 loss: 1.6412 2022/08/08 16:58:44 - mmengine - INFO - Epoch(train) [27][80/1320] lr: 2.0000e-03 eta: 2:00:03 time: 0.2336 data_time: 0.0151 memory: 11037 grad_norm: 10.1674 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7013 loss: 1.7013 2022/08/08 16:58:48 - mmengine - INFO - Epoch(train) [27][100/1320] lr: 2.0000e-03 eta: 1:59:58 time: 0.2242 data_time: 0.0136 memory: 11037 grad_norm: 10.6181 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5714 loss: 1.5714 2022/08/08 16:58:53 - mmengine - INFO - Epoch(train) [27][120/1320] lr: 2.0000e-03 eta: 1:59:54 time: 0.2234 data_time: 0.0129 memory: 11037 grad_norm: 10.6431 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7382 loss: 1.7382 2022/08/08 16:58:57 - mmengine - INFO - Epoch(train) [27][140/1320] lr: 2.0000e-03 eta: 1:59:49 time: 0.2254 data_time: 0.0137 memory: 11037 grad_norm: 10.7331 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8091 loss: 1.8091 2022/08/08 16:59:02 - mmengine - INFO - Epoch(train) [27][160/1320] lr: 2.0000e-03 eta: 1:59:45 time: 0.2323 data_time: 0.0150 memory: 11037 grad_norm: 10.5740 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6010 loss: 1.6010 2022/08/08 16:59:07 - mmengine - INFO - Epoch(train) [27][180/1320] lr: 2.0000e-03 eta: 1:59:40 time: 0.2240 data_time: 0.0132 memory: 11037 grad_norm: 10.8980 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7225 loss: 1.7225 2022/08/08 16:59:11 - mmengine - INFO - Epoch(train) [27][200/1320] lr: 2.0000e-03 eta: 1:59:35 time: 0.2257 data_time: 0.0145 memory: 11037 grad_norm: 10.3369 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6607 loss: 1.6607 2022/08/08 16:59:16 - mmengine - INFO - Epoch(train) [27][220/1320] lr: 2.0000e-03 eta: 1:59:31 time: 0.2368 data_time: 0.0127 memory: 11037 grad_norm: 10.9050 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8178 loss: 1.8178 2022/08/08 16:59:20 - mmengine - INFO - Epoch(train) [27][240/1320] lr: 2.0000e-03 eta: 1:59:26 time: 0.2249 data_time: 0.0144 memory: 11037 grad_norm: 10.8606 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7758 loss: 1.7758 2022/08/08 16:59:25 - mmengine - INFO - Epoch(train) [27][260/1320] lr: 2.0000e-03 eta: 1:59:22 time: 0.2297 data_time: 0.0140 memory: 11037 grad_norm: 10.7110 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5854 loss: 1.5854 2022/08/08 16:59:30 - mmengine - INFO - Epoch(train) [27][280/1320] lr: 2.0000e-03 eta: 1:59:17 time: 0.2338 data_time: 0.0129 memory: 11037 grad_norm: 10.9024 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5590 loss: 1.5590 2022/08/08 16:59:34 - mmengine - INFO - Epoch(train) [27][300/1320] lr: 2.0000e-03 eta: 1:59:13 time: 0.2237 data_time: 0.0119 memory: 11037 grad_norm: 10.4869 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6724 loss: 1.6724 2022/08/08 16:59:39 - mmengine - INFO - Epoch(train) [27][320/1320] lr: 2.0000e-03 eta: 1:59:08 time: 0.2246 data_time: 0.0144 memory: 11037 grad_norm: 10.5681 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8889 loss: 1.8889 2022/08/08 16:59:43 - mmengine - INFO - Epoch(train) [27][340/1320] lr: 2.0000e-03 eta: 1:59:04 time: 0.2239 data_time: 0.0135 memory: 11037 grad_norm: 11.0688 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7337 loss: 1.7337 2022/08/08 16:59:48 - mmengine - INFO - Epoch(train) [27][360/1320] lr: 2.0000e-03 eta: 1:58:59 time: 0.2295 data_time: 0.0128 memory: 11037 grad_norm: 10.4272 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6775 loss: 1.6775 2022/08/08 16:59:52 - mmengine - INFO - Epoch(train) [27][380/1320] lr: 2.0000e-03 eta: 1:58:54 time: 0.2260 data_time: 0.0145 memory: 11037 grad_norm: 10.7820 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7472 loss: 1.7472 2022/08/08 16:59:57 - mmengine - INFO - Epoch(train) [27][400/1320] lr: 2.0000e-03 eta: 1:58:50 time: 0.2288 data_time: 0.0158 memory: 11037 grad_norm: 10.3832 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6131 loss: 1.6131 2022/08/08 17:00:01 - mmengine - INFO - Epoch(train) [27][420/1320] lr: 2.0000e-03 eta: 1:58:45 time: 0.2239 data_time: 0.0133 memory: 11037 grad_norm: 10.9871 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.9848 loss: 1.9848 2022/08/08 17:00:06 - mmengine - INFO - Epoch(train) [27][440/1320] lr: 2.0000e-03 eta: 1:58:41 time: 0.2307 data_time: 0.0169 memory: 11037 grad_norm: 10.5518 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7894 loss: 1.7894 2022/08/08 17:00:10 - mmengine - INFO - Epoch(train) [27][460/1320] lr: 2.0000e-03 eta: 1:58:36 time: 0.2236 data_time: 0.0141 memory: 11037 grad_norm: 10.5090 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8040 loss: 1.8040 2022/08/08 17:00:15 - mmengine - INFO - Epoch(train) [27][480/1320] lr: 2.0000e-03 eta: 1:58:32 time: 0.2322 data_time: 0.0126 memory: 11037 grad_norm: 10.7414 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6419 loss: 1.6419 2022/08/08 17:00:19 - mmengine - INFO - Epoch(train) [27][500/1320] lr: 2.0000e-03 eta: 1:58:27 time: 0.2247 data_time: 0.0140 memory: 11037 grad_norm: 10.5232 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8696 loss: 1.8696 2022/08/08 17:00:24 - mmengine - INFO - Epoch(train) [27][520/1320] lr: 2.0000e-03 eta: 1:58:22 time: 0.2258 data_time: 0.0137 memory: 11037 grad_norm: 10.9949 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8413 loss: 1.8413 2022/08/08 17:00:28 - mmengine - INFO - Epoch(train) [27][540/1320] lr: 2.0000e-03 eta: 1:58:18 time: 0.2238 data_time: 0.0134 memory: 11037 grad_norm: 10.5821 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7442 loss: 1.7442 2022/08/08 17:00:33 - mmengine - INFO - Epoch(train) [27][560/1320] lr: 2.0000e-03 eta: 1:58:13 time: 0.2245 data_time: 0.0165 memory: 11037 grad_norm: 10.5413 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6998 loss: 1.6998 2022/08/08 17:00:38 - mmengine - INFO - Epoch(train) [27][580/1320] lr: 2.0000e-03 eta: 1:58:09 time: 0.2515 data_time: 0.0135 memory: 11037 grad_norm: 10.6069 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7282 loss: 1.7282 2022/08/08 17:00:42 - mmengine - INFO - Epoch(train) [27][600/1320] lr: 2.0000e-03 eta: 1:58:04 time: 0.2238 data_time: 0.0134 memory: 11037 grad_norm: 10.2130 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8620 loss: 1.8620 2022/08/08 17:00:47 - mmengine - INFO - Epoch(train) [27][620/1320] lr: 2.0000e-03 eta: 1:58:00 time: 0.2242 data_time: 0.0150 memory: 11037 grad_norm: 10.5412 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7982 loss: 1.7982 2022/08/08 17:00:51 - mmengine - INFO - Epoch(train) [27][640/1320] lr: 2.0000e-03 eta: 1:57:55 time: 0.2248 data_time: 0.0139 memory: 11037 grad_norm: 10.4163 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.6743 loss: 1.6743 2022/08/08 17:00:56 - mmengine - INFO - Epoch(train) [27][660/1320] lr: 2.0000e-03 eta: 1:57:51 time: 0.2402 data_time: 0.0135 memory: 11037 grad_norm: 10.5093 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6082 loss: 1.6082 2022/08/08 17:01:01 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:01:01 - mmengine - INFO - Epoch(train) [27][680/1320] lr: 2.0000e-03 eta: 1:57:46 time: 0.2253 data_time: 0.0148 memory: 11037 grad_norm: 10.8516 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7525 loss: 1.7525 2022/08/08 17:01:06 - mmengine - INFO - Epoch(train) [27][700/1320] lr: 2.0000e-03 eta: 1:57:42 time: 0.2436 data_time: 0.0132 memory: 11037 grad_norm: 10.5840 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8819 loss: 1.8819 2022/08/08 17:01:10 - mmengine - INFO - Epoch(train) [27][720/1320] lr: 2.0000e-03 eta: 1:57:37 time: 0.2238 data_time: 0.0131 memory: 11037 grad_norm: 10.6882 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7905 loss: 1.7905 2022/08/08 17:01:15 - mmengine - INFO - Epoch(train) [27][740/1320] lr: 2.0000e-03 eta: 1:57:33 time: 0.2308 data_time: 0.0144 memory: 11037 grad_norm: 10.5323 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8242 loss: 1.8242 2022/08/08 17:01:19 - mmengine - INFO - Epoch(train) [27][760/1320] lr: 2.0000e-03 eta: 1:57:28 time: 0.2250 data_time: 0.0172 memory: 11037 grad_norm: 10.7771 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5965 loss: 1.5965 2022/08/08 17:01:24 - mmengine - INFO - Epoch(train) [27][780/1320] lr: 2.0000e-03 eta: 1:57:24 time: 0.2259 data_time: 0.0142 memory: 11037 grad_norm: 10.7875 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8331 loss: 1.8331 2022/08/08 17:01:28 - mmengine - INFO - Epoch(train) [27][800/1320] lr: 2.0000e-03 eta: 1:57:19 time: 0.2237 data_time: 0.0143 memory: 11037 grad_norm: 10.1444 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7178 loss: 1.7178 2022/08/08 17:01:33 - mmengine - INFO - Epoch(train) [27][820/1320] lr: 2.0000e-03 eta: 1:57:14 time: 0.2246 data_time: 0.0135 memory: 11037 grad_norm: 10.6677 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6313 loss: 1.6313 2022/08/08 17:01:38 - mmengine - INFO - Epoch(train) [27][840/1320] lr: 2.0000e-03 eta: 1:57:10 time: 0.2431 data_time: 0.0143 memory: 11037 grad_norm: 10.7365 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8485 loss: 1.8485 2022/08/08 17:01:42 - mmengine - INFO - Epoch(train) [27][860/1320] lr: 2.0000e-03 eta: 1:57:05 time: 0.2262 data_time: 0.0153 memory: 11037 grad_norm: 10.5446 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6836 loss: 1.6836 2022/08/08 17:01:47 - mmengine - INFO - Epoch(train) [27][880/1320] lr: 2.0000e-03 eta: 1:57:01 time: 0.2251 data_time: 0.0128 memory: 11037 grad_norm: 10.5076 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6070 loss: 1.6070 2022/08/08 17:01:51 - mmengine - INFO - Epoch(train) [27][900/1320] lr: 2.0000e-03 eta: 1:56:56 time: 0.2240 data_time: 0.0141 memory: 11037 grad_norm: 10.3252 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7464 loss: 1.7464 2022/08/08 17:01:56 - mmengine - INFO - Epoch(train) [27][920/1320] lr: 2.0000e-03 eta: 1:56:52 time: 0.2419 data_time: 0.0138 memory: 11037 grad_norm: 10.6059 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6988 loss: 1.6988 2022/08/08 17:02:00 - mmengine - INFO - Epoch(train) [27][940/1320] lr: 2.0000e-03 eta: 1:56:47 time: 0.2250 data_time: 0.0140 memory: 11037 grad_norm: 10.4455 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7646 loss: 1.7646 2022/08/08 17:02:05 - mmengine - INFO - Epoch(train) [27][960/1320] lr: 2.0000e-03 eta: 1:56:43 time: 0.2258 data_time: 0.0143 memory: 11037 grad_norm: 10.4006 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6741 loss: 1.6741 2022/08/08 17:02:09 - mmengine - INFO - Epoch(train) [27][980/1320] lr: 2.0000e-03 eta: 1:56:38 time: 0.2244 data_time: 0.0138 memory: 11037 grad_norm: 10.4639 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.3893 loss: 1.3893 2022/08/08 17:02:14 - mmengine - INFO - Epoch(train) [27][1000/1320] lr: 2.0000e-03 eta: 1:56:33 time: 0.2252 data_time: 0.0132 memory: 11037 grad_norm: 10.5878 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8275 loss: 1.8275 2022/08/08 17:02:18 - mmengine - INFO - Epoch(train) [27][1020/1320] lr: 2.0000e-03 eta: 1:56:29 time: 0.2242 data_time: 0.0131 memory: 11037 grad_norm: 10.4826 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7931 loss: 1.7931 2022/08/08 17:02:23 - mmengine - INFO - Epoch(train) [27][1040/1320] lr: 2.0000e-03 eta: 1:56:24 time: 0.2262 data_time: 0.0173 memory: 11037 grad_norm: 10.7661 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.6191 loss: 1.6191 2022/08/08 17:02:28 - mmengine - INFO - Epoch(train) [27][1060/1320] lr: 2.0000e-03 eta: 1:56:20 time: 0.2270 data_time: 0.0142 memory: 11037 grad_norm: 10.5507 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7157 loss: 1.7157 2022/08/08 17:02:32 - mmengine - INFO - Epoch(train) [27][1080/1320] lr: 2.0000e-03 eta: 1:56:15 time: 0.2241 data_time: 0.0134 memory: 11037 grad_norm: 10.3913 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7446 loss: 1.7446 2022/08/08 17:02:37 - mmengine - INFO - Epoch(train) [27][1100/1320] lr: 2.0000e-03 eta: 1:56:10 time: 0.2254 data_time: 0.0151 memory: 11037 grad_norm: 10.5337 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6376 loss: 1.6376 2022/08/08 17:02:41 - mmengine - INFO - Epoch(train) [27][1120/1320] lr: 2.0000e-03 eta: 1:56:06 time: 0.2228 data_time: 0.0146 memory: 11037 grad_norm: 10.4384 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9182 loss: 1.9182 2022/08/08 17:02:46 - mmengine - INFO - Epoch(train) [27][1140/1320] lr: 2.0000e-03 eta: 1:56:01 time: 0.2290 data_time: 0.0124 memory: 11037 grad_norm: 10.3943 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6317 loss: 1.6317 2022/08/08 17:02:50 - mmengine - INFO - Epoch(train) [27][1160/1320] lr: 2.0000e-03 eta: 1:55:57 time: 0.2243 data_time: 0.0136 memory: 11037 grad_norm: 10.5480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6676 loss: 1.6676 2022/08/08 17:02:55 - mmengine - INFO - Epoch(train) [27][1180/1320] lr: 2.0000e-03 eta: 1:55:52 time: 0.2235 data_time: 0.0131 memory: 11037 grad_norm: 10.7294 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6781 loss: 1.6781 2022/08/08 17:02:59 - mmengine - INFO - Epoch(train) [27][1200/1320] lr: 2.0000e-03 eta: 1:55:47 time: 0.2237 data_time: 0.0123 memory: 11037 grad_norm: 10.6105 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6789 loss: 1.6789 2022/08/08 17:03:04 - mmengine - INFO - Epoch(train) [27][1220/1320] lr: 2.0000e-03 eta: 1:55:43 time: 0.2247 data_time: 0.0141 memory: 11037 grad_norm: 10.2395 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6519 loss: 1.6519 2022/08/08 17:03:08 - mmengine - INFO - Epoch(train) [27][1240/1320] lr: 2.0000e-03 eta: 1:55:38 time: 0.2269 data_time: 0.0160 memory: 11037 grad_norm: 10.4334 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6813 loss: 1.6813 2022/08/08 17:03:13 - mmengine - INFO - Epoch(train) [27][1260/1320] lr: 2.0000e-03 eta: 1:55:34 time: 0.2247 data_time: 0.0140 memory: 11037 grad_norm: 10.9738 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6014 loss: 1.6014 2022/08/08 17:03:17 - mmengine - INFO - Epoch(train) [27][1280/1320] lr: 2.0000e-03 eta: 1:55:29 time: 0.2249 data_time: 0.0152 memory: 11037 grad_norm: 10.7146 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7943 loss: 1.7943 2022/08/08 17:03:22 - mmengine - INFO - Epoch(train) [27][1300/1320] lr: 2.0000e-03 eta: 1:55:24 time: 0.2244 data_time: 0.0133 memory: 11037 grad_norm: 10.3720 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7642 loss: 1.7642 2022/08/08 17:03:26 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:03:26 - mmengine - INFO - Epoch(train) [27][1320/1320] lr: 2.0000e-03 eta: 1:55:20 time: 0.2163 data_time: 0.0146 memory: 11037 grad_norm: 10.6045 top1_acc: 0.6364 top5_acc: 0.7273 loss_cls: 1.8438 loss: 1.8438 2022/08/08 17:03:26 - mmengine - INFO - Saving checkpoint at 27 epochs 2022/08/08 17:03:31 - mmengine - INFO - Epoch(val) [27][20/194] eta: 0:00:27 time: 0.1603 data_time: 0.0806 memory: 1858 2022/08/08 17:03:34 - mmengine - INFO - Epoch(val) [27][40/194] eta: 0:00:17 time: 0.1118 data_time: 0.0372 memory: 1858 2022/08/08 17:03:36 - mmengine - INFO - Epoch(val) [27][60/194] eta: 0:00:16 time: 0.1233 data_time: 0.0435 memory: 1858 2022/08/08 17:03:38 - mmengine - INFO - Epoch(val) [27][80/194] eta: 0:00:11 time: 0.1047 data_time: 0.0306 memory: 1858 2022/08/08 17:03:41 - mmengine - INFO - Epoch(val) [27][100/194] eta: 0:00:11 time: 0.1213 data_time: 0.0423 memory: 1858 2022/08/08 17:03:43 - mmengine - INFO - Epoch(val) [27][120/194] eta: 0:00:08 time: 0.1103 data_time: 0.0296 memory: 1858 2022/08/08 17:03:45 - mmengine - INFO - Epoch(val) [27][140/194] eta: 0:00:06 time: 0.1258 data_time: 0.0507 memory: 1858 2022/08/08 17:03:47 - mmengine - INFO - Epoch(val) [27][160/194] eta: 0:00:03 time: 0.0966 data_time: 0.0185 memory: 1858 2022/08/08 17:03:49 - mmengine - INFO - Epoch(val) [27][180/194] eta: 0:00:01 time: 0.0912 data_time: 0.0255 memory: 1858 2022/08/08 17:03:51 - mmengine - INFO - Epoch(val) [27][194/194] acc/top1: 0.4361 acc/top5: 0.7274 acc/mean1: 0.3726 2022/08/08 17:03:51 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 17:03:56 - mmengine - INFO - Epoch(train) [28][20/1320] lr: 2.0000e-03 eta: 1:55:16 time: 0.2612 data_time: 0.0489 memory: 11037 grad_norm: 10.5515 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4721 loss: 1.4721 2022/08/08 17:04:01 - mmengine - INFO - Epoch(train) [28][40/1320] lr: 2.0000e-03 eta: 1:55:11 time: 0.2240 data_time: 0.0129 memory: 11037 grad_norm: 10.8506 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4140 loss: 1.4140 2022/08/08 17:04:05 - mmengine - INFO - Epoch(train) [28][60/1320] lr: 2.0000e-03 eta: 1:55:06 time: 0.2289 data_time: 0.0153 memory: 11037 grad_norm: 10.7169 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5778 loss: 1.5778 2022/08/08 17:04:10 - mmengine - INFO - Epoch(train) [28][80/1320] lr: 2.0000e-03 eta: 1:55:02 time: 0.2256 data_time: 0.0153 memory: 11037 grad_norm: 10.3978 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6858 loss: 1.6858 2022/08/08 17:04:14 - mmengine - INFO - Epoch(train) [28][100/1320] lr: 2.0000e-03 eta: 1:54:57 time: 0.2248 data_time: 0.0143 memory: 11037 grad_norm: 10.4692 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5501 loss: 1.5501 2022/08/08 17:04:19 - mmengine - INFO - Epoch(train) [28][120/1320] lr: 2.0000e-03 eta: 1:54:53 time: 0.2254 data_time: 0.0138 memory: 11037 grad_norm: 10.9133 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6707 loss: 1.6707 2022/08/08 17:04:23 - mmengine - INFO - Epoch(train) [28][140/1320] lr: 2.0000e-03 eta: 1:54:48 time: 0.2257 data_time: 0.0144 memory: 11037 grad_norm: 10.4876 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6264 loss: 1.6264 2022/08/08 17:04:28 - mmengine - INFO - Epoch(train) [28][160/1320] lr: 2.0000e-03 eta: 1:54:43 time: 0.2246 data_time: 0.0133 memory: 11037 grad_norm: 10.5768 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6505 loss: 1.6505 2022/08/08 17:04:32 - mmengine - INFO - Epoch(train) [28][180/1320] lr: 2.0000e-03 eta: 1:54:39 time: 0.2233 data_time: 0.0131 memory: 11037 grad_norm: 10.5964 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7417 loss: 1.7417 2022/08/08 17:04:37 - mmengine - INFO - Epoch(train) [28][200/1320] lr: 2.0000e-03 eta: 1:54:34 time: 0.2292 data_time: 0.0149 memory: 11037 grad_norm: 10.4438 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5261 loss: 1.5261 2022/08/08 17:04:41 - mmengine - INFO - Epoch(train) [28][220/1320] lr: 2.0000e-03 eta: 1:54:30 time: 0.2244 data_time: 0.0133 memory: 11037 grad_norm: 10.7231 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6443 loss: 1.6443 2022/08/08 17:04:46 - mmengine - INFO - Epoch(train) [28][240/1320] lr: 2.0000e-03 eta: 1:54:25 time: 0.2252 data_time: 0.0137 memory: 11037 grad_norm: 10.6870 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7815 loss: 1.7815 2022/08/08 17:04:50 - mmengine - INFO - Epoch(train) [28][260/1320] lr: 2.0000e-03 eta: 1:54:20 time: 0.2251 data_time: 0.0137 memory: 11037 grad_norm: 10.9074 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6785 loss: 1.6785 2022/08/08 17:04:55 - mmengine - INFO - Epoch(train) [28][280/1320] lr: 2.0000e-03 eta: 1:54:16 time: 0.2242 data_time: 0.0136 memory: 11037 grad_norm: 10.7394 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7150 loss: 1.7150 2022/08/08 17:04:59 - mmengine - INFO - Epoch(train) [28][300/1320] lr: 2.0000e-03 eta: 1:54:11 time: 0.2236 data_time: 0.0132 memory: 11037 grad_norm: 10.5101 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9863 loss: 1.9863 2022/08/08 17:05:04 - mmengine - INFO - Epoch(train) [28][320/1320] lr: 2.0000e-03 eta: 1:54:06 time: 0.2260 data_time: 0.0147 memory: 11037 grad_norm: 10.8672 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6584 loss: 1.6584 2022/08/08 17:05:08 - mmengine - INFO - Epoch(train) [28][340/1320] lr: 2.0000e-03 eta: 1:54:02 time: 0.2270 data_time: 0.0142 memory: 11037 grad_norm: 10.7458 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7022 loss: 1.7022 2022/08/08 17:05:13 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:05:13 - mmengine - INFO - Epoch(train) [28][360/1320] lr: 2.0000e-03 eta: 1:53:57 time: 0.2238 data_time: 0.0128 memory: 11037 grad_norm: 11.0887 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8002 loss: 1.8002 2022/08/08 17:05:17 - mmengine - INFO - Epoch(train) [28][380/1320] lr: 2.0000e-03 eta: 1:53:53 time: 0.2315 data_time: 0.0145 memory: 11037 grad_norm: 10.9732 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6758 loss: 1.6758 2022/08/08 17:05:22 - mmengine - INFO - Epoch(train) [28][400/1320] lr: 2.0000e-03 eta: 1:53:48 time: 0.2241 data_time: 0.0144 memory: 11037 grad_norm: 10.7615 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6097 loss: 1.6097 2022/08/08 17:05:26 - mmengine - INFO - Epoch(train) [28][420/1320] lr: 2.0000e-03 eta: 1:53:44 time: 0.2263 data_time: 0.0139 memory: 11037 grad_norm: 10.2895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4612 loss: 1.4612 2022/08/08 17:05:31 - mmengine - INFO - Epoch(train) [28][440/1320] lr: 2.0000e-03 eta: 1:53:39 time: 0.2260 data_time: 0.0144 memory: 11037 grad_norm: 10.5433 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6279 loss: 1.6279 2022/08/08 17:05:35 - mmengine - INFO - Epoch(train) [28][460/1320] lr: 2.0000e-03 eta: 1:53:34 time: 0.2259 data_time: 0.0122 memory: 11037 grad_norm: 10.7024 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6238 loss: 1.6238 2022/08/08 17:05:40 - mmengine - INFO - Epoch(train) [28][480/1320] lr: 2.0000e-03 eta: 1:53:30 time: 0.2243 data_time: 0.0136 memory: 11037 grad_norm: 10.5308 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8154 loss: 1.8154 2022/08/08 17:05:44 - mmengine - INFO - Epoch(train) [28][500/1320] lr: 2.0000e-03 eta: 1:53:25 time: 0.2256 data_time: 0.0144 memory: 11037 grad_norm: 10.6728 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7588 loss: 1.7588 2022/08/08 17:05:49 - mmengine - INFO - Epoch(train) [28][520/1320] lr: 2.0000e-03 eta: 1:53:21 time: 0.2248 data_time: 0.0136 memory: 11037 grad_norm: 10.5207 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7080 loss: 1.7080 2022/08/08 17:05:53 - mmengine - INFO - Epoch(train) [28][540/1320] lr: 2.0000e-03 eta: 1:53:16 time: 0.2294 data_time: 0.0132 memory: 11037 grad_norm: 10.6771 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6748 loss: 1.6748 2022/08/08 17:05:58 - mmengine - INFO - Epoch(train) [28][560/1320] lr: 2.0000e-03 eta: 1:53:11 time: 0.2247 data_time: 0.0145 memory: 11037 grad_norm: 10.4384 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8171 loss: 1.8171 2022/08/08 17:06:02 - mmengine - INFO - Epoch(train) [28][580/1320] lr: 2.0000e-03 eta: 1:53:07 time: 0.2243 data_time: 0.0130 memory: 11037 grad_norm: 10.2634 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9250 loss: 1.9250 2022/08/08 17:06:07 - mmengine - INFO - Epoch(train) [28][600/1320] lr: 2.0000e-03 eta: 1:53:02 time: 0.2286 data_time: 0.0137 memory: 11037 grad_norm: 10.7278 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8447 loss: 1.8447 2022/08/08 17:06:12 - mmengine - INFO - Epoch(train) [28][620/1320] lr: 2.0000e-03 eta: 1:52:58 time: 0.2264 data_time: 0.0151 memory: 11037 grad_norm: 10.5423 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6615 loss: 1.6615 2022/08/08 17:06:16 - mmengine - INFO - Epoch(train) [28][640/1320] lr: 2.0000e-03 eta: 1:52:53 time: 0.2255 data_time: 0.0127 memory: 11037 grad_norm: 10.4690 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5320 loss: 1.5320 2022/08/08 17:06:21 - mmengine - INFO - Epoch(train) [28][660/1320] lr: 2.0000e-03 eta: 1:52:48 time: 0.2236 data_time: 0.0133 memory: 11037 grad_norm: 10.5733 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6994 loss: 1.6994 2022/08/08 17:06:25 - mmengine - INFO - Epoch(train) [28][680/1320] lr: 2.0000e-03 eta: 1:52:44 time: 0.2310 data_time: 0.0148 memory: 11037 grad_norm: 10.7522 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4923 loss: 1.4923 2022/08/08 17:06:30 - mmengine - INFO - Epoch(train) [28][700/1320] lr: 2.0000e-03 eta: 1:52:39 time: 0.2243 data_time: 0.0132 memory: 11037 grad_norm: 11.0370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5975 loss: 1.5975 2022/08/08 17:06:34 - mmengine - INFO - Epoch(train) [28][720/1320] lr: 2.0000e-03 eta: 1:52:35 time: 0.2249 data_time: 0.0133 memory: 11037 grad_norm: 10.3318 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5686 loss: 1.5686 2022/08/08 17:06:39 - mmengine - INFO - Epoch(train) [28][740/1320] lr: 2.0000e-03 eta: 1:52:30 time: 0.2253 data_time: 0.0147 memory: 11037 grad_norm: 11.0388 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8192 loss: 1.8192 2022/08/08 17:06:43 - mmengine - INFO - Epoch(train) [28][760/1320] lr: 2.0000e-03 eta: 1:52:26 time: 0.2234 data_time: 0.0128 memory: 11037 grad_norm: 10.4195 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7172 loss: 1.7172 2022/08/08 17:06:48 - mmengine - INFO - Epoch(train) [28][780/1320] lr: 2.0000e-03 eta: 1:52:21 time: 0.2300 data_time: 0.0142 memory: 11037 grad_norm: 10.8918 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7215 loss: 1.7215 2022/08/08 17:06:52 - mmengine - INFO - Epoch(train) [28][800/1320] lr: 2.0000e-03 eta: 1:52:16 time: 0.2252 data_time: 0.0144 memory: 11037 grad_norm: 10.5238 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5576 loss: 1.5576 2022/08/08 17:06:57 - mmengine - INFO - Epoch(train) [28][820/1320] lr: 2.0000e-03 eta: 1:52:12 time: 0.2236 data_time: 0.0134 memory: 11037 grad_norm: 10.5679 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6491 loss: 1.6491 2022/08/08 17:07:01 - mmengine - INFO - Epoch(train) [28][840/1320] lr: 2.0000e-03 eta: 1:52:07 time: 0.2245 data_time: 0.0139 memory: 11037 grad_norm: 10.5723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7193 loss: 1.7193 2022/08/08 17:07:06 - mmengine - INFO - Epoch(train) [28][860/1320] lr: 2.0000e-03 eta: 1:52:03 time: 0.2306 data_time: 0.0151 memory: 11037 grad_norm: 10.7835 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6437 loss: 1.6437 2022/08/08 17:07:10 - mmengine - INFO - Epoch(train) [28][880/1320] lr: 2.0000e-03 eta: 1:51:58 time: 0.2241 data_time: 0.0121 memory: 11037 grad_norm: 10.7166 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6977 loss: 1.6977 2022/08/08 17:07:15 - mmengine - INFO - Epoch(train) [28][900/1320] lr: 2.0000e-03 eta: 1:51:53 time: 0.2240 data_time: 0.0119 memory: 11037 grad_norm: 10.5293 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7293 loss: 1.7293 2022/08/08 17:07:19 - mmengine - INFO - Epoch(train) [28][920/1320] lr: 2.0000e-03 eta: 1:51:49 time: 0.2249 data_time: 0.0150 memory: 11037 grad_norm: 10.4239 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9775 loss: 1.9775 2022/08/08 17:07:24 - mmengine - INFO - Epoch(train) [28][940/1320] lr: 2.0000e-03 eta: 1:51:44 time: 0.2241 data_time: 0.0129 memory: 11037 grad_norm: 10.5590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4952 loss: 1.4952 2022/08/08 17:07:28 - mmengine - INFO - Epoch(train) [28][960/1320] lr: 2.0000e-03 eta: 1:51:40 time: 0.2345 data_time: 0.0143 memory: 11037 grad_norm: 10.5603 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5299 loss: 1.5299 2022/08/08 17:07:33 - mmengine - INFO - Epoch(train) [28][980/1320] lr: 2.0000e-03 eta: 1:51:35 time: 0.2245 data_time: 0.0146 memory: 11037 grad_norm: 10.5231 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5788 loss: 1.5788 2022/08/08 17:07:37 - mmengine - INFO - Epoch(train) [28][1000/1320] lr: 2.0000e-03 eta: 1:51:30 time: 0.2237 data_time: 0.0141 memory: 11037 grad_norm: 10.8019 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6180 loss: 1.6180 2022/08/08 17:07:42 - mmengine - INFO - Epoch(train) [28][1020/1320] lr: 2.0000e-03 eta: 1:51:26 time: 0.2275 data_time: 0.0151 memory: 11037 grad_norm: 10.5934 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6776 loss: 1.6776 2022/08/08 17:07:47 - mmengine - INFO - Epoch(train) [28][1040/1320] lr: 2.0000e-03 eta: 1:51:21 time: 0.2261 data_time: 0.0144 memory: 11037 grad_norm: 10.5146 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8127 loss: 1.8127 2022/08/08 17:07:51 - mmengine - INFO - Epoch(train) [28][1060/1320] lr: 2.0000e-03 eta: 1:51:17 time: 0.2248 data_time: 0.0128 memory: 11037 grad_norm: 10.9972 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6239 loss: 1.6239 2022/08/08 17:07:56 - mmengine - INFO - Epoch(train) [28][1080/1320] lr: 2.0000e-03 eta: 1:51:12 time: 0.2271 data_time: 0.0142 memory: 11037 grad_norm: 10.4343 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7904 loss: 1.7904 2022/08/08 17:08:00 - mmengine - INFO - Epoch(train) [28][1100/1320] lr: 2.0000e-03 eta: 1:51:08 time: 0.2240 data_time: 0.0139 memory: 11037 grad_norm: 10.5005 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6061 loss: 1.6061 2022/08/08 17:08:05 - mmengine - INFO - Epoch(train) [28][1120/1320] lr: 2.0000e-03 eta: 1:51:03 time: 0.2264 data_time: 0.0130 memory: 11037 grad_norm: 10.6062 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.6319 loss: 1.6319 2022/08/08 17:08:09 - mmengine - INFO - Epoch(train) [28][1140/1320] lr: 2.0000e-03 eta: 1:50:58 time: 0.2255 data_time: 0.0145 memory: 11037 grad_norm: 10.8878 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7346 loss: 1.7346 2022/08/08 17:08:14 - mmengine - INFO - Epoch(train) [28][1160/1320] lr: 2.0000e-03 eta: 1:50:54 time: 0.2240 data_time: 0.0138 memory: 11037 grad_norm: 10.3339 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5698 loss: 1.5698 2022/08/08 17:08:18 - mmengine - INFO - Epoch(train) [28][1180/1320] lr: 2.0000e-03 eta: 1:50:49 time: 0.2249 data_time: 0.0124 memory: 11037 grad_norm: 10.5671 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6758 loss: 1.6758 2022/08/08 17:08:23 - mmengine - INFO - Epoch(train) [28][1200/1320] lr: 2.0000e-03 eta: 1:50:44 time: 0.2236 data_time: 0.0129 memory: 11037 grad_norm: 10.0428 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7346 loss: 1.7346 2022/08/08 17:08:27 - mmengine - INFO - Epoch(train) [28][1220/1320] lr: 2.0000e-03 eta: 1:50:40 time: 0.2370 data_time: 0.0174 memory: 11037 grad_norm: 10.4982 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8951 loss: 1.8951 2022/08/08 17:08:32 - mmengine - INFO - Epoch(train) [28][1240/1320] lr: 2.0000e-03 eta: 1:50:35 time: 0.2240 data_time: 0.0150 memory: 11037 grad_norm: 10.5971 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6691 loss: 1.6691 2022/08/08 17:08:36 - mmengine - INFO - Epoch(train) [28][1260/1320] lr: 2.0000e-03 eta: 1:50:31 time: 0.2282 data_time: 0.0142 memory: 11037 grad_norm: 10.5188 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7043 loss: 1.7043 2022/08/08 17:08:41 - mmengine - INFO - Epoch(train) [28][1280/1320] lr: 2.0000e-03 eta: 1:50:26 time: 0.2245 data_time: 0.0140 memory: 11037 grad_norm: 10.2125 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7581 loss: 1.7581 2022/08/08 17:08:45 - mmengine - INFO - Epoch(train) [28][1300/1320] lr: 2.0000e-03 eta: 1:50:22 time: 0.2236 data_time: 0.0121 memory: 11037 grad_norm: 10.7068 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7681 loss: 1.7681 2022/08/08 17:08:50 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:08:50 - mmengine - INFO - Epoch(train) [28][1320/1320] lr: 2.0000e-03 eta: 1:50:17 time: 0.2158 data_time: 0.0132 memory: 11037 grad_norm: 10.3684 top1_acc: 0.5455 top5_acc: 0.9091 loss_cls: 1.6737 loss: 1.6737 2022/08/08 17:08:50 - mmengine - INFO - Saving checkpoint at 28 epochs 2022/08/08 17:08:55 - mmengine - INFO - Epoch(val) [28][20/194] eta: 0:00:29 time: 0.1684 data_time: 0.0905 memory: 1858 2022/08/08 17:08:57 - mmengine - INFO - Epoch(val) [28][40/194] eta: 0:00:15 time: 0.1022 data_time: 0.0265 memory: 1858 2022/08/08 17:09:00 - mmengine - INFO - Epoch(val) [28][60/194] eta: 0:00:15 time: 0.1170 data_time: 0.0396 memory: 1858 2022/08/08 17:09:02 - mmengine - INFO - Epoch(val) [28][80/194] eta: 0:00:13 time: 0.1178 data_time: 0.0381 memory: 1858 2022/08/08 17:09:05 - mmengine - INFO - Epoch(val) [28][100/194] eta: 0:00:11 time: 0.1273 data_time: 0.0509 memory: 1858 2022/08/08 17:09:07 - mmengine - INFO - Epoch(val) [28][120/194] eta: 0:00:07 time: 0.1075 data_time: 0.0301 memory: 1858 2022/08/08 17:09:09 - mmengine - INFO - Epoch(val) [28][140/194] eta: 0:00:06 time: 0.1256 data_time: 0.0484 memory: 1858 2022/08/08 17:09:11 - mmengine - INFO - Epoch(val) [28][160/194] eta: 0:00:03 time: 0.0988 data_time: 0.0232 memory: 1858 2022/08/08 17:09:13 - mmengine - INFO - Epoch(val) [28][180/194] eta: 0:00:00 time: 0.0708 data_time: 0.0140 memory: 1858 2022/08/08 17:09:14 - mmengine - INFO - Epoch(val) [28][194/194] acc/top1: 0.4503 acc/top5: 0.7350 acc/mean1: 0.3795 2022/08/08 17:09:14 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_24.pth is removed 2022/08/08 17:09:16 - mmengine - INFO - The best checkpoint with 0.4503 acc/top1 at 29 epoch is saved to best_acc/top1_epoch_29.pth. 2022/08/08 17:09:16 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 17:09:21 - mmengine - INFO - Epoch(train) [29][20/1320] lr: 2.0000e-03 eta: 1:50:13 time: 0.2538 data_time: 0.0429 memory: 11037 grad_norm: 10.6991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5586 loss: 1.5586 2022/08/08 17:09:25 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:09:25 - mmengine - INFO - Epoch(train) [29][40/1320] lr: 2.0000e-03 eta: 1:50:08 time: 0.2246 data_time: 0.0151 memory: 11037 grad_norm: 10.5050 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7150 loss: 1.7150 2022/08/08 17:09:30 - mmengine - INFO - Epoch(train) [29][60/1320] lr: 2.0000e-03 eta: 1:50:04 time: 0.2261 data_time: 0.0159 memory: 11037 grad_norm: 10.5635 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6575 loss: 1.6575 2022/08/08 17:09:35 - mmengine - INFO - Epoch(train) [29][80/1320] lr: 2.0000e-03 eta: 1:49:59 time: 0.2323 data_time: 0.0118 memory: 11037 grad_norm: 10.5268 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6956 loss: 1.6956 2022/08/08 17:09:39 - mmengine - INFO - Epoch(train) [29][100/1320] lr: 2.0000e-03 eta: 1:49:54 time: 0.2234 data_time: 0.0130 memory: 11037 grad_norm: 10.8897 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7577 loss: 1.7577 2022/08/08 17:09:44 - mmengine - INFO - Epoch(train) [29][120/1320] lr: 2.0000e-03 eta: 1:49:50 time: 0.2262 data_time: 0.0151 memory: 11037 grad_norm: 10.5500 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7696 loss: 1.7696 2022/08/08 17:09:48 - mmengine - INFO - Epoch(train) [29][140/1320] lr: 2.0000e-03 eta: 1:49:45 time: 0.2267 data_time: 0.0145 memory: 11037 grad_norm: 10.7440 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6641 loss: 1.6641 2022/08/08 17:09:53 - mmengine - INFO - Epoch(train) [29][160/1320] lr: 2.0000e-03 eta: 1:49:41 time: 0.2240 data_time: 0.0126 memory: 11037 grad_norm: 10.6873 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5660 loss: 1.5660 2022/08/08 17:09:57 - mmengine - INFO - Epoch(train) [29][180/1320] lr: 2.0000e-03 eta: 1:49:36 time: 0.2274 data_time: 0.0146 memory: 11037 grad_norm: 10.4803 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6852 loss: 1.6852 2022/08/08 17:10:02 - mmengine - INFO - Epoch(train) [29][200/1320] lr: 2.0000e-03 eta: 1:49:31 time: 0.2239 data_time: 0.0136 memory: 11037 grad_norm: 10.5613 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6668 loss: 1.6668 2022/08/08 17:10:06 - mmengine - INFO - Epoch(train) [29][220/1320] lr: 2.0000e-03 eta: 1:49:27 time: 0.2299 data_time: 0.0139 memory: 11037 grad_norm: 10.7375 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6193 loss: 1.6193 2022/08/08 17:10:11 - mmengine - INFO - Epoch(train) [29][240/1320] lr: 2.0000e-03 eta: 1:49:22 time: 0.2252 data_time: 0.0146 memory: 11037 grad_norm: 11.0493 top1_acc: 0.4375 top5_acc: 1.0000 loss_cls: 1.6701 loss: 1.6701 2022/08/08 17:10:15 - mmengine - INFO - Epoch(train) [29][260/1320] lr: 2.0000e-03 eta: 1:49:18 time: 0.2248 data_time: 0.0126 memory: 11037 grad_norm: 10.5671 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5559 loss: 1.5559 2022/08/08 17:10:20 - mmengine - INFO - Epoch(train) [29][280/1320] lr: 2.0000e-03 eta: 1:49:13 time: 0.2234 data_time: 0.0136 memory: 11037 grad_norm: 10.8476 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7694 loss: 1.7694 2022/08/08 17:10:24 - mmengine - INFO - Epoch(train) [29][300/1320] lr: 2.0000e-03 eta: 1:49:09 time: 0.2245 data_time: 0.0155 memory: 11037 grad_norm: 10.2725 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6265 loss: 1.6265 2022/08/08 17:10:29 - mmengine - INFO - Epoch(train) [29][320/1320] lr: 2.0000e-03 eta: 1:49:04 time: 0.2263 data_time: 0.0130 memory: 11037 grad_norm: 10.5146 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7493 loss: 1.7493 2022/08/08 17:10:33 - mmengine - INFO - Epoch(train) [29][340/1320] lr: 2.0000e-03 eta: 1:48:59 time: 0.2262 data_time: 0.0142 memory: 11037 grad_norm: 10.8851 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 1.6731 loss: 1.6731 2022/08/08 17:10:38 - mmengine - INFO - Epoch(train) [29][360/1320] lr: 2.0000e-03 eta: 1:48:55 time: 0.2269 data_time: 0.0146 memory: 11037 grad_norm: 10.7751 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5145 loss: 1.5145 2022/08/08 17:10:42 - mmengine - INFO - Epoch(train) [29][380/1320] lr: 2.0000e-03 eta: 1:48:50 time: 0.2243 data_time: 0.0130 memory: 11037 grad_norm: 10.6626 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6622 loss: 1.6622 2022/08/08 17:10:47 - mmengine - INFO - Epoch(train) [29][400/1320] lr: 2.0000e-03 eta: 1:48:46 time: 0.2264 data_time: 0.0139 memory: 11037 grad_norm: 10.9580 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5843 loss: 1.5843 2022/08/08 17:10:51 - mmengine - INFO - Epoch(train) [29][420/1320] lr: 2.0000e-03 eta: 1:48:41 time: 0.2262 data_time: 0.0139 memory: 11037 grad_norm: 10.6755 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7303 loss: 1.7303 2022/08/08 17:10:56 - mmengine - INFO - Epoch(train) [29][440/1320] lr: 2.0000e-03 eta: 1:48:36 time: 0.2241 data_time: 0.0138 memory: 11037 grad_norm: 10.4855 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5892 loss: 1.5892 2022/08/08 17:11:00 - mmengine - INFO - Epoch(train) [29][460/1320] lr: 2.0000e-03 eta: 1:48:32 time: 0.2234 data_time: 0.0137 memory: 11037 grad_norm: 10.5370 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6756 loss: 1.6756 2022/08/08 17:11:05 - mmengine - INFO - Epoch(train) [29][480/1320] lr: 2.0000e-03 eta: 1:48:27 time: 0.2272 data_time: 0.0143 memory: 11037 grad_norm: 10.6381 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6156 loss: 1.6156 2022/08/08 17:11:09 - mmengine - INFO - Epoch(train) [29][500/1320] lr: 2.0000e-03 eta: 1:48:23 time: 0.2239 data_time: 0.0139 memory: 11037 grad_norm: 10.6535 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6754 loss: 1.6754 2022/08/08 17:11:14 - mmengine - INFO - Epoch(train) [29][520/1320] lr: 2.0000e-03 eta: 1:48:18 time: 0.2244 data_time: 0.0133 memory: 11037 grad_norm: 10.5720 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5835 loss: 1.5835 2022/08/08 17:11:18 - mmengine - INFO - Epoch(train) [29][540/1320] lr: 2.0000e-03 eta: 1:48:13 time: 0.2271 data_time: 0.0144 memory: 11037 grad_norm: 10.5802 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.6218 loss: 1.6218 2022/08/08 17:11:23 - mmengine - INFO - Epoch(train) [29][560/1320] lr: 2.0000e-03 eta: 1:48:09 time: 0.2244 data_time: 0.0125 memory: 11037 grad_norm: 10.9075 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6815 loss: 1.6815 2022/08/08 17:11:27 - mmengine - INFO - Epoch(train) [29][580/1320] lr: 2.0000e-03 eta: 1:48:04 time: 0.2285 data_time: 0.0133 memory: 11037 grad_norm: 11.0004 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6585 loss: 1.6585 2022/08/08 17:11:32 - mmengine - INFO - Epoch(train) [29][600/1320] lr: 2.0000e-03 eta: 1:48:00 time: 0.2264 data_time: 0.0149 memory: 11037 grad_norm: 10.5858 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6013 loss: 1.6013 2022/08/08 17:11:37 - mmengine - INFO - Epoch(train) [29][620/1320] lr: 2.0000e-03 eta: 1:47:55 time: 0.2265 data_time: 0.0153 memory: 11037 grad_norm: 10.4327 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7666 loss: 1.7666 2022/08/08 17:11:41 - mmengine - INFO - Epoch(train) [29][640/1320] lr: 2.0000e-03 eta: 1:47:50 time: 0.2248 data_time: 0.0135 memory: 11037 grad_norm: 10.7959 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6483 loss: 1.6483 2022/08/08 17:11:46 - mmengine - INFO - Epoch(train) [29][660/1320] lr: 2.0000e-03 eta: 1:47:46 time: 0.2248 data_time: 0.0148 memory: 11037 grad_norm: 10.7216 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7517 loss: 1.7517 2022/08/08 17:11:50 - mmengine - INFO - Epoch(train) [29][680/1320] lr: 2.0000e-03 eta: 1:47:41 time: 0.2263 data_time: 0.0148 memory: 11037 grad_norm: 10.8603 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6845 loss: 1.6845 2022/08/08 17:11:55 - mmengine - INFO - Epoch(train) [29][700/1320] lr: 2.0000e-03 eta: 1:47:37 time: 0.2262 data_time: 0.0137 memory: 11037 grad_norm: 10.7526 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5125 loss: 1.5125 2022/08/08 17:11:59 - mmengine - INFO - Epoch(train) [29][720/1320] lr: 2.0000e-03 eta: 1:47:32 time: 0.2239 data_time: 0.0131 memory: 11037 grad_norm: 10.6078 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7118 loss: 1.7118 2022/08/08 17:12:04 - mmengine - INFO - Epoch(train) [29][740/1320] lr: 2.0000e-03 eta: 1:47:28 time: 0.2248 data_time: 0.0140 memory: 11037 grad_norm: 10.6782 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5494 loss: 1.5494 2022/08/08 17:12:08 - mmengine - INFO - Epoch(train) [29][760/1320] lr: 2.0000e-03 eta: 1:47:23 time: 0.2252 data_time: 0.0137 memory: 11037 grad_norm: 10.2564 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8030 loss: 1.8030 2022/08/08 17:12:13 - mmengine - INFO - Epoch(train) [29][780/1320] lr: 2.0000e-03 eta: 1:47:18 time: 0.2258 data_time: 0.0145 memory: 11037 grad_norm: 10.3244 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7767 loss: 1.7767 2022/08/08 17:12:17 - mmengine - INFO - Epoch(train) [29][800/1320] lr: 2.0000e-03 eta: 1:47:14 time: 0.2265 data_time: 0.0131 memory: 11037 grad_norm: 10.6711 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7034 loss: 1.7034 2022/08/08 17:12:22 - mmengine - INFO - Epoch(train) [29][820/1320] lr: 2.0000e-03 eta: 1:47:09 time: 0.2254 data_time: 0.0134 memory: 11037 grad_norm: 10.4711 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7614 loss: 1.7614 2022/08/08 17:12:26 - mmengine - INFO - Epoch(train) [29][840/1320] lr: 2.0000e-03 eta: 1:47:05 time: 0.2250 data_time: 0.0148 memory: 11037 grad_norm: 10.2484 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6713 loss: 1.6713 2022/08/08 17:12:31 - mmengine - INFO - Epoch(train) [29][860/1320] lr: 2.0000e-03 eta: 1:47:00 time: 0.2244 data_time: 0.0137 memory: 11037 grad_norm: 10.6416 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.6191 loss: 1.6191 2022/08/08 17:12:35 - mmengine - INFO - Epoch(train) [29][880/1320] lr: 2.0000e-03 eta: 1:46:55 time: 0.2271 data_time: 0.0142 memory: 11037 grad_norm: 10.7171 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8256 loss: 1.8256 2022/08/08 17:12:40 - mmengine - INFO - Epoch(train) [29][900/1320] lr: 2.0000e-03 eta: 1:46:51 time: 0.2247 data_time: 0.0136 memory: 11037 grad_norm: 10.5339 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7510 loss: 1.7510 2022/08/08 17:12:44 - mmengine - INFO - Epoch(train) [29][920/1320] lr: 2.0000e-03 eta: 1:46:46 time: 0.2242 data_time: 0.0131 memory: 11037 grad_norm: 10.7940 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8583 loss: 1.8583 2022/08/08 17:12:49 - mmengine - INFO - Epoch(train) [29][940/1320] lr: 2.0000e-03 eta: 1:46:42 time: 0.2271 data_time: 0.0139 memory: 11037 grad_norm: 10.8908 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5691 loss: 1.5691 2022/08/08 17:12:53 - mmengine - INFO - Epoch(train) [29][960/1320] lr: 2.0000e-03 eta: 1:46:37 time: 0.2250 data_time: 0.0142 memory: 11037 grad_norm: 10.0749 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5253 loss: 1.5253 2022/08/08 17:12:58 - mmengine - INFO - Epoch(train) [29][980/1320] lr: 2.0000e-03 eta: 1:46:32 time: 0.2253 data_time: 0.0158 memory: 11037 grad_norm: 10.4885 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7557 loss: 1.7557 2022/08/08 17:13:02 - mmengine - INFO - Epoch(train) [29][1000/1320] lr: 2.0000e-03 eta: 1:46:28 time: 0.2237 data_time: 0.0157 memory: 11037 grad_norm: 10.4989 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6020 loss: 1.6020 2022/08/08 17:13:07 - mmengine - INFO - Epoch(train) [29][1020/1320] lr: 2.0000e-03 eta: 1:46:23 time: 0.2318 data_time: 0.0156 memory: 11037 grad_norm: 10.8365 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7582 loss: 1.7582 2022/08/08 17:13:11 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:13:11 - mmengine - INFO - Epoch(train) [29][1040/1320] lr: 2.0000e-03 eta: 1:46:19 time: 0.2235 data_time: 0.0145 memory: 11037 grad_norm: 10.9329 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8816 loss: 1.8816 2022/08/08 17:13:16 - mmengine - INFO - Epoch(train) [29][1060/1320] lr: 2.0000e-03 eta: 1:46:14 time: 0.2248 data_time: 0.0135 memory: 11037 grad_norm: 10.4725 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7434 loss: 1.7434 2022/08/08 17:13:20 - mmengine - INFO - Epoch(train) [29][1080/1320] lr: 2.0000e-03 eta: 1:46:09 time: 0.2252 data_time: 0.0144 memory: 11037 grad_norm: 10.5162 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6453 loss: 1.6453 2022/08/08 17:13:25 - mmengine - INFO - Epoch(train) [29][1100/1320] lr: 2.0000e-03 eta: 1:46:05 time: 0.2311 data_time: 0.0135 memory: 11037 grad_norm: 10.4728 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5813 loss: 1.5813 2022/08/08 17:13:29 - mmengine - INFO - Epoch(train) [29][1120/1320] lr: 2.0000e-03 eta: 1:46:00 time: 0.2265 data_time: 0.0133 memory: 11037 grad_norm: 10.6197 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.5334 loss: 1.5334 2022/08/08 17:13:34 - mmengine - INFO - Epoch(train) [29][1140/1320] lr: 2.0000e-03 eta: 1:45:56 time: 0.2251 data_time: 0.0140 memory: 11037 grad_norm: 10.4695 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6552 loss: 1.6552 2022/08/08 17:13:38 - mmengine - INFO - Epoch(train) [29][1160/1320] lr: 2.0000e-03 eta: 1:45:51 time: 0.2256 data_time: 0.0129 memory: 11037 grad_norm: 10.4981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8106 loss: 1.8106 2022/08/08 17:13:43 - mmengine - INFO - Epoch(train) [29][1180/1320] lr: 2.0000e-03 eta: 1:45:47 time: 0.2240 data_time: 0.0132 memory: 11037 grad_norm: 10.5560 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 1.9229 loss: 1.9229 2022/08/08 17:13:48 - mmengine - INFO - Epoch(train) [29][1200/1320] lr: 2.0000e-03 eta: 1:45:42 time: 0.2284 data_time: 0.0147 memory: 11037 grad_norm: 10.3368 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5899 loss: 1.5899 2022/08/08 17:13:52 - mmengine - INFO - Epoch(train) [29][1220/1320] lr: 2.0000e-03 eta: 1:45:37 time: 0.2233 data_time: 0.0132 memory: 11037 grad_norm: 10.9240 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.7267 loss: 1.7267 2022/08/08 17:13:56 - mmengine - INFO - Epoch(train) [29][1240/1320] lr: 2.0000e-03 eta: 1:45:33 time: 0.2245 data_time: 0.0135 memory: 11037 grad_norm: 10.8304 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6775 loss: 1.6775 2022/08/08 17:14:01 - mmengine - INFO - Epoch(train) [29][1260/1320] lr: 2.0000e-03 eta: 1:45:28 time: 0.2244 data_time: 0.0137 memory: 11037 grad_norm: 10.6187 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5824 loss: 1.5824 2022/08/08 17:14:06 - mmengine - INFO - Epoch(train) [29][1280/1320] lr: 2.0000e-03 eta: 1:45:24 time: 0.2281 data_time: 0.0137 memory: 11037 grad_norm: 10.7978 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6853 loss: 1.6853 2022/08/08 17:14:10 - mmengine - INFO - Epoch(train) [29][1300/1320] lr: 2.0000e-03 eta: 1:45:19 time: 0.2252 data_time: 0.0138 memory: 11037 grad_norm: 10.5313 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7993 loss: 1.7993 2022/08/08 17:14:14 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:14:14 - mmengine - INFO - Epoch(train) [29][1320/1320] lr: 2.0000e-03 eta: 1:45:14 time: 0.2161 data_time: 0.0139 memory: 11037 grad_norm: 10.4777 top1_acc: 0.4545 top5_acc: 0.8182 loss_cls: 1.8200 loss: 1.8200 2022/08/08 17:14:14 - mmengine - INFO - Saving checkpoint at 29 epochs 2022/08/08 17:14:20 - mmengine - INFO - Epoch(val) [29][20/194] eta: 0:00:28 time: 0.1649 data_time: 0.0855 memory: 1858 2022/08/08 17:14:22 - mmengine - INFO - Epoch(val) [29][40/194] eta: 0:00:17 time: 0.1126 data_time: 0.0346 memory: 1858 2022/08/08 17:14:24 - mmengine - INFO - Epoch(val) [29][60/194] eta: 0:00:15 time: 0.1157 data_time: 0.0378 memory: 1858 2022/08/08 17:14:27 - mmengine - INFO - Epoch(val) [29][80/194] eta: 0:00:14 time: 0.1299 data_time: 0.0284 memory: 1858 2022/08/08 17:14:30 - mmengine - INFO - Epoch(val) [29][100/194] eta: 0:00:11 time: 0.1256 data_time: 0.0465 memory: 1858 2022/08/08 17:14:32 - mmengine - INFO - Epoch(val) [29][120/194] eta: 0:00:07 time: 0.1073 data_time: 0.0267 memory: 1858 2022/08/08 17:14:34 - mmengine - INFO - Epoch(val) [29][140/194] eta: 0:00:06 time: 0.1186 data_time: 0.0383 memory: 1858 2022/08/08 17:14:37 - mmengine - INFO - Epoch(val) [29][160/194] eta: 0:00:04 time: 0.1256 data_time: 0.0541 memory: 1858 2022/08/08 17:14:38 - mmengine - INFO - Epoch(val) [29][180/194] eta: 0:00:01 time: 0.0774 data_time: 0.0179 memory: 1858 2022/08/08 17:14:40 - mmengine - INFO - Epoch(val) [29][194/194] acc/top1: 0.4470 acc/top5: 0.7318 acc/mean1: 0.3711 2022/08/08 17:14:40 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 17:14:45 - mmengine - INFO - Epoch(train) [30][20/1320] lr: 2.0000e-03 eta: 1:45:10 time: 0.2616 data_time: 0.0482 memory: 11037 grad_norm: 9.9544 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.5481 loss: 1.5481 2022/08/08 17:14:50 - mmengine - INFO - Epoch(train) [30][40/1320] lr: 2.0000e-03 eta: 1:45:06 time: 0.2230 data_time: 0.0120 memory: 11037 grad_norm: 10.6955 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6423 loss: 1.6423 2022/08/08 17:14:54 - mmengine - INFO - Epoch(train) [30][60/1320] lr: 2.0000e-03 eta: 1:45:01 time: 0.2234 data_time: 0.0116 memory: 11037 grad_norm: 10.4574 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5962 loss: 1.5962 2022/08/08 17:14:59 - mmengine - INFO - Epoch(train) [30][80/1320] lr: 2.0000e-03 eta: 1:44:56 time: 0.2270 data_time: 0.0144 memory: 11037 grad_norm: 10.9786 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5864 loss: 1.5864 2022/08/08 17:15:03 - mmengine - INFO - Epoch(train) [30][100/1320] lr: 2.0000e-03 eta: 1:44:52 time: 0.2240 data_time: 0.0126 memory: 11037 grad_norm: 10.1234 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6254 loss: 1.6254 2022/08/08 17:15:08 - mmengine - INFO - Epoch(train) [30][120/1320] lr: 2.0000e-03 eta: 1:44:47 time: 0.2260 data_time: 0.0140 memory: 11037 grad_norm: 10.7592 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5915 loss: 1.5915 2022/08/08 17:15:12 - mmengine - INFO - Epoch(train) [30][140/1320] lr: 2.0000e-03 eta: 1:44:43 time: 0.2251 data_time: 0.0145 memory: 11037 grad_norm: 10.6143 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6709 loss: 1.6709 2022/08/08 17:15:17 - mmengine - INFO - Epoch(train) [30][160/1320] lr: 2.0000e-03 eta: 1:44:38 time: 0.2255 data_time: 0.0128 memory: 11037 grad_norm: 10.5600 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5435 loss: 1.5435 2022/08/08 17:15:21 - mmengine - INFO - Epoch(train) [30][180/1320] lr: 2.0000e-03 eta: 1:44:33 time: 0.2246 data_time: 0.0151 memory: 11037 grad_norm: 10.5838 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7977 loss: 1.7977 2022/08/08 17:15:26 - mmengine - INFO - Epoch(train) [30][200/1320] lr: 2.0000e-03 eta: 1:44:29 time: 0.2272 data_time: 0.0157 memory: 11037 grad_norm: 10.5601 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4615 loss: 1.4615 2022/08/08 17:15:30 - mmengine - INFO - Epoch(train) [30][220/1320] lr: 2.0000e-03 eta: 1:44:24 time: 0.2246 data_time: 0.0135 memory: 11037 grad_norm: 11.0715 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5798 loss: 1.5798 2022/08/08 17:15:35 - mmengine - INFO - Epoch(train) [30][240/1320] lr: 2.0000e-03 eta: 1:44:20 time: 0.2237 data_time: 0.0136 memory: 11037 grad_norm: 10.6536 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5588 loss: 1.5588 2022/08/08 17:15:39 - mmengine - INFO - Epoch(train) [30][260/1320] lr: 2.0000e-03 eta: 1:44:15 time: 0.2303 data_time: 0.0150 memory: 11037 grad_norm: 10.4439 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5443 loss: 1.5443 2022/08/08 17:15:44 - mmengine - INFO - Epoch(train) [30][280/1320] lr: 2.0000e-03 eta: 1:44:11 time: 0.2251 data_time: 0.0130 memory: 11037 grad_norm: 10.6130 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4469 loss: 1.4469 2022/08/08 17:15:48 - mmengine - INFO - Epoch(train) [30][300/1320] lr: 2.0000e-03 eta: 1:44:06 time: 0.2248 data_time: 0.0127 memory: 11037 grad_norm: 10.6580 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5377 loss: 1.5377 2022/08/08 17:15:53 - mmengine - INFO - Epoch(train) [30][320/1320] lr: 2.0000e-03 eta: 1:44:01 time: 0.2259 data_time: 0.0167 memory: 11037 grad_norm: 10.4478 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4861 loss: 1.4861 2022/08/08 17:15:57 - mmengine - INFO - Epoch(train) [30][340/1320] lr: 2.0000e-03 eta: 1:43:57 time: 0.2253 data_time: 0.0140 memory: 11037 grad_norm: 10.5177 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.6124 loss: 1.6124 2022/08/08 17:16:02 - mmengine - INFO - Epoch(train) [30][360/1320] lr: 2.0000e-03 eta: 1:43:52 time: 0.2240 data_time: 0.0128 memory: 11037 grad_norm: 10.8845 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9163 loss: 1.9163 2022/08/08 17:16:07 - mmengine - INFO - Epoch(train) [30][380/1320] lr: 2.0000e-03 eta: 1:43:48 time: 0.2401 data_time: 0.0161 memory: 11037 grad_norm: 10.7320 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7320 loss: 1.7320 2022/08/08 17:16:11 - mmengine - INFO - Epoch(train) [30][400/1320] lr: 2.0000e-03 eta: 1:43:43 time: 0.2251 data_time: 0.0130 memory: 11037 grad_norm: 10.3089 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7104 loss: 1.7104 2022/08/08 17:16:16 - mmengine - INFO - Epoch(train) [30][420/1320] lr: 2.0000e-03 eta: 1:43:39 time: 0.2240 data_time: 0.0125 memory: 11037 grad_norm: 10.7552 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4865 loss: 1.4865 2022/08/08 17:16:20 - mmengine - INFO - Epoch(train) [30][440/1320] lr: 2.0000e-03 eta: 1:43:34 time: 0.2247 data_time: 0.0147 memory: 11037 grad_norm: 10.8672 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.6504 loss: 1.6504 2022/08/08 17:16:25 - mmengine - INFO - Epoch(train) [30][460/1320] lr: 2.0000e-03 eta: 1:43:29 time: 0.2240 data_time: 0.0120 memory: 11037 grad_norm: 10.5130 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4388 loss: 1.4388 2022/08/08 17:16:29 - mmengine - INFO - Epoch(train) [30][480/1320] lr: 2.0000e-03 eta: 1:43:25 time: 0.2242 data_time: 0.0139 memory: 11037 grad_norm: 10.5892 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6698 loss: 1.6698 2022/08/08 17:16:34 - mmengine - INFO - Epoch(train) [30][500/1320] lr: 2.0000e-03 eta: 1:43:20 time: 0.2261 data_time: 0.0153 memory: 11037 grad_norm: 10.7240 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6710 loss: 1.6710 2022/08/08 17:16:38 - mmengine - INFO - Epoch(train) [30][520/1320] lr: 2.0000e-03 eta: 1:43:16 time: 0.2253 data_time: 0.0146 memory: 11037 grad_norm: 10.4751 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6047 loss: 1.6047 2022/08/08 17:16:43 - mmengine - INFO - Epoch(train) [30][540/1320] lr: 2.0000e-03 eta: 1:43:11 time: 0.2242 data_time: 0.0135 memory: 11037 grad_norm: 11.1002 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7137 loss: 1.7137 2022/08/08 17:16:47 - mmengine - INFO - Epoch(train) [30][560/1320] lr: 2.0000e-03 eta: 1:43:07 time: 0.2314 data_time: 0.0147 memory: 11037 grad_norm: 10.8535 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5522 loss: 1.5522 2022/08/08 17:16:52 - mmengine - INFO - Epoch(train) [30][580/1320] lr: 2.0000e-03 eta: 1:43:02 time: 0.2248 data_time: 0.0134 memory: 11037 grad_norm: 10.5319 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6730 loss: 1.6730 2022/08/08 17:16:56 - mmengine - INFO - Epoch(train) [30][600/1320] lr: 2.0000e-03 eta: 1:42:57 time: 0.2354 data_time: 0.0133 memory: 11037 grad_norm: 10.8778 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6431 loss: 1.6431 2022/08/08 17:17:01 - mmengine - INFO - Epoch(train) [30][620/1320] lr: 2.0000e-03 eta: 1:42:53 time: 0.2244 data_time: 0.0151 memory: 11037 grad_norm: 10.8211 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6043 loss: 1.6043 2022/08/08 17:17:05 - mmengine - INFO - Epoch(train) [30][640/1320] lr: 2.0000e-03 eta: 1:42:48 time: 0.2259 data_time: 0.0143 memory: 11037 grad_norm: 10.5759 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7065 loss: 1.7065 2022/08/08 17:17:10 - mmengine - INFO - Epoch(train) [30][660/1320] lr: 2.0000e-03 eta: 1:42:44 time: 0.2247 data_time: 0.0142 memory: 11037 grad_norm: 10.3660 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5719 loss: 1.5719 2022/08/08 17:17:14 - mmengine - INFO - Epoch(train) [30][680/1320] lr: 2.0000e-03 eta: 1:42:39 time: 0.2262 data_time: 0.0152 memory: 11037 grad_norm: 11.0793 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7679 loss: 1.7679 2022/08/08 17:17:19 - mmengine - INFO - Epoch(train) [30][700/1320] lr: 2.0000e-03 eta: 1:42:35 time: 0.2257 data_time: 0.0154 memory: 11037 grad_norm: 10.9040 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6249 loss: 1.6249 2022/08/08 17:17:23 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:17:23 - mmengine - INFO - Epoch(train) [30][720/1320] lr: 2.0000e-03 eta: 1:42:30 time: 0.2249 data_time: 0.0138 memory: 11037 grad_norm: 10.5339 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5886 loss: 1.5886 2022/08/08 17:17:28 - mmengine - INFO - Epoch(train) [30][740/1320] lr: 2.0000e-03 eta: 1:42:25 time: 0.2261 data_time: 0.0143 memory: 11037 grad_norm: 10.8036 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6796 loss: 1.6796 2022/08/08 17:17:32 - mmengine - INFO - Epoch(train) [30][760/1320] lr: 2.0000e-03 eta: 1:42:21 time: 0.2247 data_time: 0.0136 memory: 11037 grad_norm: 10.7489 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5568 loss: 1.5568 2022/08/08 17:17:37 - mmengine - INFO - Epoch(train) [30][780/1320] lr: 2.0000e-03 eta: 1:42:16 time: 0.2269 data_time: 0.0137 memory: 11037 grad_norm: 10.1871 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4325 loss: 1.4325 2022/08/08 17:17:42 - mmengine - INFO - Epoch(train) [30][800/1320] lr: 2.0000e-03 eta: 1:42:12 time: 0.2258 data_time: 0.0144 memory: 11037 grad_norm: 10.7475 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7331 loss: 1.7331 2022/08/08 17:17:46 - mmengine - INFO - Epoch(train) [30][820/1320] lr: 2.0000e-03 eta: 1:42:07 time: 0.2250 data_time: 0.0140 memory: 11037 grad_norm: 10.6275 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6549 loss: 1.6549 2022/08/08 17:17:51 - mmengine - INFO - Epoch(train) [30][840/1320] lr: 2.0000e-03 eta: 1:42:02 time: 0.2256 data_time: 0.0133 memory: 11037 grad_norm: 10.9439 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5442 loss: 1.5442 2022/08/08 17:17:55 - mmengine - INFO - Epoch(train) [30][860/1320] lr: 2.0000e-03 eta: 1:41:58 time: 0.2250 data_time: 0.0142 memory: 11037 grad_norm: 10.7261 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6707 loss: 1.6707 2022/08/08 17:18:00 - mmengine - INFO - Epoch(train) [30][880/1320] lr: 2.0000e-03 eta: 1:41:53 time: 0.2256 data_time: 0.0144 memory: 11037 grad_norm: 10.5327 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5322 loss: 1.5322 2022/08/08 17:18:04 - mmengine - INFO - Epoch(train) [30][900/1320] lr: 2.0000e-03 eta: 1:41:49 time: 0.2241 data_time: 0.0132 memory: 11037 grad_norm: 10.4365 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7043 loss: 1.7043 2022/08/08 17:18:09 - mmengine - INFO - Epoch(train) [30][920/1320] lr: 2.0000e-03 eta: 1:41:44 time: 0.2285 data_time: 0.0149 memory: 11037 grad_norm: 10.1524 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5198 loss: 1.5198 2022/08/08 17:18:13 - mmengine - INFO - Epoch(train) [30][940/1320] lr: 2.0000e-03 eta: 1:41:39 time: 0.2237 data_time: 0.0129 memory: 11037 grad_norm: 10.4260 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7608 loss: 1.7608 2022/08/08 17:18:18 - mmengine - INFO - Epoch(train) [30][960/1320] lr: 2.0000e-03 eta: 1:41:35 time: 0.2283 data_time: 0.0159 memory: 11037 grad_norm: 10.9543 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4480 loss: 1.4480 2022/08/08 17:18:22 - mmengine - INFO - Epoch(train) [30][980/1320] lr: 2.0000e-03 eta: 1:41:30 time: 0.2255 data_time: 0.0149 memory: 11037 grad_norm: 11.1829 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5928 loss: 1.5928 2022/08/08 17:18:27 - mmengine - INFO - Epoch(train) [30][1000/1320] lr: 2.0000e-03 eta: 1:41:26 time: 0.2243 data_time: 0.0140 memory: 11037 grad_norm: 10.7432 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6402 loss: 1.6402 2022/08/08 17:18:31 - mmengine - INFO - Epoch(train) [30][1020/1320] lr: 2.0000e-03 eta: 1:41:21 time: 0.2245 data_time: 0.0159 memory: 11037 grad_norm: 10.4625 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8648 loss: 1.8648 2022/08/08 17:18:36 - mmengine - INFO - Epoch(train) [30][1040/1320] lr: 2.0000e-03 eta: 1:41:17 time: 0.2321 data_time: 0.0138 memory: 11037 grad_norm: 10.8036 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7075 loss: 1.7075 2022/08/08 17:18:40 - mmengine - INFO - Epoch(train) [30][1060/1320] lr: 2.0000e-03 eta: 1:41:12 time: 0.2244 data_time: 0.0132 memory: 11037 grad_norm: 10.8211 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8149 loss: 1.8149 2022/08/08 17:18:45 - mmengine - INFO - Epoch(train) [30][1080/1320] lr: 2.0000e-03 eta: 1:41:07 time: 0.2233 data_time: 0.0129 memory: 11037 grad_norm: 10.9354 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7495 loss: 1.7495 2022/08/08 17:18:49 - mmengine - INFO - Epoch(train) [30][1100/1320] lr: 2.0000e-03 eta: 1:41:03 time: 0.2259 data_time: 0.0159 memory: 11037 grad_norm: 10.5661 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5571 loss: 1.5571 2022/08/08 17:18:54 - mmengine - INFO - Epoch(train) [30][1120/1320] lr: 2.0000e-03 eta: 1:40:58 time: 0.2236 data_time: 0.0119 memory: 11037 grad_norm: 10.3052 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6741 loss: 1.6741 2022/08/08 17:18:58 - mmengine - INFO - Epoch(train) [30][1140/1320] lr: 2.0000e-03 eta: 1:40:54 time: 0.2249 data_time: 0.0132 memory: 11037 grad_norm: 10.9687 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7053 loss: 1.7053 2022/08/08 17:19:03 - mmengine - INFO - Epoch(train) [30][1160/1320] lr: 2.0000e-03 eta: 1:40:49 time: 0.2256 data_time: 0.0159 memory: 11037 grad_norm: 10.9221 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8137 loss: 1.8137 2022/08/08 17:19:07 - mmengine - INFO - Epoch(train) [30][1180/1320] lr: 2.0000e-03 eta: 1:40:45 time: 0.2328 data_time: 0.0133 memory: 11037 grad_norm: 10.7623 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5595 loss: 1.5595 2022/08/08 17:19:12 - mmengine - INFO - Epoch(train) [30][1200/1320] lr: 2.0000e-03 eta: 1:40:40 time: 0.2244 data_time: 0.0131 memory: 11037 grad_norm: 10.8106 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7174 loss: 1.7174 2022/08/08 17:19:16 - mmengine - INFO - Epoch(train) [30][1220/1320] lr: 2.0000e-03 eta: 1:40:35 time: 0.2268 data_time: 0.0151 memory: 11037 grad_norm: 10.7244 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6674 loss: 1.6674 2022/08/08 17:19:21 - mmengine - INFO - Epoch(train) [30][1240/1320] lr: 2.0000e-03 eta: 1:40:31 time: 0.2246 data_time: 0.0128 memory: 11037 grad_norm: 10.9841 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5201 loss: 1.5201 2022/08/08 17:19:25 - mmengine - INFO - Epoch(train) [30][1260/1320] lr: 2.0000e-03 eta: 1:40:26 time: 0.2264 data_time: 0.0157 memory: 11037 grad_norm: 10.3808 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6793 loss: 1.6793 2022/08/08 17:19:30 - mmengine - INFO - Epoch(train) [30][1280/1320] lr: 2.0000e-03 eta: 1:40:22 time: 0.2261 data_time: 0.0152 memory: 11037 grad_norm: 11.0115 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8142 loss: 1.8142 2022/08/08 17:19:35 - mmengine - INFO - Epoch(train) [30][1300/1320] lr: 2.0000e-03 eta: 1:40:17 time: 0.2240 data_time: 0.0128 memory: 11037 grad_norm: 10.8107 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6293 loss: 1.6293 2022/08/08 17:19:39 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:19:39 - mmengine - INFO - Epoch(train) [30][1320/1320] lr: 2.0000e-03 eta: 1:40:12 time: 0.2151 data_time: 0.0132 memory: 11037 grad_norm: 10.3606 top1_acc: 0.6364 top5_acc: 0.7273 loss_cls: 1.7694 loss: 1.7694 2022/08/08 17:19:39 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/08/08 17:19:45 - mmengine - INFO - Epoch(val) [30][20/194] eta: 0:00:29 time: 0.1700 data_time: 0.0904 memory: 1858 2022/08/08 17:19:47 - mmengine - INFO - Epoch(val) [30][40/194] eta: 0:00:16 time: 0.1070 data_time: 0.0317 memory: 1858 2022/08/08 17:19:49 - mmengine - INFO - Epoch(val) [30][60/194] eta: 0:00:15 time: 0.1177 data_time: 0.0389 memory: 1858 2022/08/08 17:19:52 - mmengine - INFO - Epoch(val) [30][80/194] eta: 0:00:12 time: 0.1065 data_time: 0.0304 memory: 1858 2022/08/08 17:19:54 - mmengine - INFO - Epoch(val) [30][100/194] eta: 0:00:11 time: 0.1220 data_time: 0.0465 memory: 1858 2022/08/08 17:19:57 - mmengine - INFO - Epoch(val) [30][120/194] eta: 0:00:09 time: 0.1268 data_time: 0.0494 memory: 1858 2022/08/08 17:19:59 - mmengine - INFO - Epoch(val) [30][140/194] eta: 0:00:06 time: 0.1170 data_time: 0.0406 memory: 1858 2022/08/08 17:20:01 - mmengine - INFO - Epoch(val) [30][160/194] eta: 0:00:03 time: 0.0984 data_time: 0.0230 memory: 1858 2022/08/08 17:20:02 - mmengine - INFO - Epoch(val) [30][180/194] eta: 0:00:01 time: 0.0765 data_time: 0.0178 memory: 1858 2022/08/08 17:20:04 - mmengine - INFO - Epoch(val) [30][194/194] acc/top1: 0.4463 acc/top5: 0.7373 acc/mean1: 0.3657 2022/08/08 17:20:04 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 17:20:09 - mmengine - INFO - Epoch(train) [31][20/1320] lr: 2.0000e-04 eta: 1:40:08 time: 0.2625 data_time: 0.0461 memory: 11037 grad_norm: 10.5753 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5156 loss: 1.5156 2022/08/08 17:20:14 - mmengine - INFO - Epoch(train) [31][40/1320] lr: 2.0000e-04 eta: 1:40:04 time: 0.2234 data_time: 0.0140 memory: 11037 grad_norm: 9.7349 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6497 loss: 1.6497 2022/08/08 17:20:18 - mmengine - INFO - Epoch(train) [31][60/1320] lr: 2.0000e-04 eta: 1:39:59 time: 0.2289 data_time: 0.0133 memory: 11037 grad_norm: 9.9665 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6406 loss: 1.6406 2022/08/08 17:20:23 - mmengine - INFO - Epoch(train) [31][80/1320] lr: 2.0000e-04 eta: 1:39:54 time: 0.2265 data_time: 0.0153 memory: 11037 grad_norm: 9.7319 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5500 loss: 1.5500 2022/08/08 17:20:27 - mmengine - INFO - Epoch(train) [31][100/1320] lr: 2.0000e-04 eta: 1:39:50 time: 0.2250 data_time: 0.0143 memory: 11037 grad_norm: 9.4256 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3253 loss: 1.3253 2022/08/08 17:20:32 - mmengine - INFO - Epoch(train) [31][120/1320] lr: 2.0000e-04 eta: 1:39:45 time: 0.2234 data_time: 0.0135 memory: 11037 grad_norm: 9.4965 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3496 loss: 1.3496 2022/08/08 17:20:36 - mmengine - INFO - Epoch(train) [31][140/1320] lr: 2.0000e-04 eta: 1:39:41 time: 0.2279 data_time: 0.0147 memory: 11037 grad_norm: 9.7161 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4445 loss: 1.4445 2022/08/08 17:20:41 - mmengine - INFO - Epoch(train) [31][160/1320] lr: 2.0000e-04 eta: 1:39:36 time: 0.2248 data_time: 0.0146 memory: 11037 grad_norm: 9.7619 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3659 loss: 1.3659 2022/08/08 17:20:45 - mmengine - INFO - Epoch(train) [31][180/1320] lr: 2.0000e-04 eta: 1:39:32 time: 0.2236 data_time: 0.0129 memory: 11037 grad_norm: 9.6230 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2600 loss: 1.2600 2022/08/08 17:20:50 - mmengine - INFO - Epoch(train) [31][200/1320] lr: 2.0000e-04 eta: 1:39:27 time: 0.2262 data_time: 0.0146 memory: 11037 grad_norm: 9.8032 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4220 loss: 1.4220 2022/08/08 17:20:54 - mmengine - INFO - Epoch(train) [31][220/1320] lr: 2.0000e-04 eta: 1:39:22 time: 0.2239 data_time: 0.0167 memory: 11037 grad_norm: 10.0861 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4057 loss: 1.4057 2022/08/08 17:20:59 - mmengine - INFO - Epoch(train) [31][240/1320] lr: 2.0000e-04 eta: 1:39:18 time: 0.2295 data_time: 0.0137 memory: 11037 grad_norm: 9.7924 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4854 loss: 1.4854 2022/08/08 17:21:04 - mmengine - INFO - Epoch(train) [31][260/1320] lr: 2.0000e-04 eta: 1:39:13 time: 0.2257 data_time: 0.0148 memory: 11037 grad_norm: 9.8165 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3988 loss: 1.3988 2022/08/08 17:21:08 - mmengine - INFO - Epoch(train) [31][280/1320] lr: 2.0000e-04 eta: 1:39:09 time: 0.2244 data_time: 0.0134 memory: 11037 grad_norm: 9.7058 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3618 loss: 1.3618 2022/08/08 17:21:13 - mmengine - INFO - Epoch(train) [31][300/1320] lr: 2.0000e-04 eta: 1:39:04 time: 0.2246 data_time: 0.0141 memory: 11037 grad_norm: 9.7287 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4174 loss: 1.4174 2022/08/08 17:21:17 - mmengine - INFO - Epoch(train) [31][320/1320] lr: 2.0000e-04 eta: 1:38:59 time: 0.2239 data_time: 0.0140 memory: 11037 grad_norm: 9.4377 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2551 loss: 1.2551 2022/08/08 17:21:22 - mmengine - INFO - Epoch(train) [31][340/1320] lr: 2.0000e-04 eta: 1:38:55 time: 0.2244 data_time: 0.0131 memory: 11037 grad_norm: 10.0564 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5966 loss: 1.5966 2022/08/08 17:21:26 - mmengine - INFO - Epoch(train) [31][360/1320] lr: 2.0000e-04 eta: 1:38:50 time: 0.2250 data_time: 0.0137 memory: 11037 grad_norm: 10.1407 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5576 loss: 1.5576 2022/08/08 17:21:31 - mmengine - INFO - Epoch(train) [31][380/1320] lr: 2.0000e-04 eta: 1:38:46 time: 0.2255 data_time: 0.0149 memory: 11037 grad_norm: 10.0916 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2866 loss: 1.2866 2022/08/08 17:21:35 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:21:35 - mmengine - INFO - Epoch(train) [31][400/1320] lr: 2.0000e-04 eta: 1:38:41 time: 0.2239 data_time: 0.0132 memory: 11037 grad_norm: 9.8576 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5039 loss: 1.5039 2022/08/08 17:21:40 - mmengine - INFO - Epoch(train) [31][420/1320] lr: 2.0000e-04 eta: 1:38:37 time: 0.2303 data_time: 0.0134 memory: 11037 grad_norm: 9.7447 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3148 loss: 1.3148 2022/08/08 17:21:44 - mmengine - INFO - Epoch(train) [31][440/1320] lr: 2.0000e-04 eta: 1:38:32 time: 0.2258 data_time: 0.0149 memory: 11037 grad_norm: 9.8973 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.3822 loss: 1.3822 2022/08/08 17:21:49 - mmengine - INFO - Epoch(train) [31][460/1320] lr: 2.0000e-04 eta: 1:38:27 time: 0.2252 data_time: 0.0142 memory: 11037 grad_norm: 9.8090 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2058 loss: 1.2058 2022/08/08 17:21:53 - mmengine - INFO - Epoch(train) [31][480/1320] lr: 2.0000e-04 eta: 1:38:23 time: 0.2245 data_time: 0.0140 memory: 11037 grad_norm: 9.9003 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3592 loss: 1.3592 2022/08/08 17:21:58 - mmengine - INFO - Epoch(train) [31][500/1320] lr: 2.0000e-04 eta: 1:38:18 time: 0.2271 data_time: 0.0153 memory: 11037 grad_norm: 10.1751 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2661 loss: 1.2661 2022/08/08 17:22:02 - mmengine - INFO - Epoch(train) [31][520/1320] lr: 2.0000e-04 eta: 1:38:14 time: 0.2239 data_time: 0.0134 memory: 11037 grad_norm: 9.7379 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5295 loss: 1.5295 2022/08/08 17:22:07 - mmengine - INFO - Epoch(train) [31][540/1320] lr: 2.0000e-04 eta: 1:38:09 time: 0.2258 data_time: 0.0138 memory: 11037 grad_norm: 9.9146 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2463 loss: 1.2463 2022/08/08 17:22:11 - mmengine - INFO - Epoch(train) [31][560/1320] lr: 2.0000e-04 eta: 1:38:04 time: 0.2276 data_time: 0.0155 memory: 11037 grad_norm: 9.9047 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2949 loss: 1.2949 2022/08/08 17:22:16 - mmengine - INFO - Epoch(train) [31][580/1320] lr: 2.0000e-04 eta: 1:38:00 time: 0.2250 data_time: 0.0143 memory: 11037 grad_norm: 9.8000 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4120 loss: 1.4120 2022/08/08 17:22:20 - mmengine - INFO - Epoch(train) [31][600/1320] lr: 2.0000e-04 eta: 1:37:55 time: 0.2252 data_time: 0.0136 memory: 11037 grad_norm: 10.0746 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5234 loss: 1.5234 2022/08/08 17:22:25 - mmengine - INFO - Epoch(train) [31][620/1320] lr: 2.0000e-04 eta: 1:37:51 time: 0.2253 data_time: 0.0139 memory: 11037 grad_norm: 10.1078 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2444 loss: 1.2444 2022/08/08 17:22:29 - mmengine - INFO - Epoch(train) [31][640/1320] lr: 2.0000e-04 eta: 1:37:46 time: 0.2281 data_time: 0.0148 memory: 11037 grad_norm: 10.1029 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3572 loss: 1.3572 2022/08/08 17:22:34 - mmengine - INFO - Epoch(train) [31][660/1320] lr: 2.0000e-04 eta: 1:37:42 time: 0.2240 data_time: 0.0126 memory: 11037 grad_norm: 10.1360 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4203 loss: 1.4203 2022/08/08 17:22:38 - mmengine - INFO - Epoch(train) [31][680/1320] lr: 2.0000e-04 eta: 1:37:37 time: 0.2257 data_time: 0.0145 memory: 11037 grad_norm: 9.7323 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3850 loss: 1.3850 2022/08/08 17:22:43 - mmengine - INFO - Epoch(train) [31][700/1320] lr: 2.0000e-04 eta: 1:37:32 time: 0.2240 data_time: 0.0149 memory: 11037 grad_norm: 9.9804 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2992 loss: 1.2992 2022/08/08 17:22:47 - mmengine - INFO - Epoch(train) [31][720/1320] lr: 2.0000e-04 eta: 1:37:28 time: 0.2280 data_time: 0.0128 memory: 11037 grad_norm: 9.5776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3697 loss: 1.3697 2022/08/08 17:22:52 - mmengine - INFO - Epoch(train) [31][740/1320] lr: 2.0000e-04 eta: 1:37:23 time: 0.2252 data_time: 0.0146 memory: 11037 grad_norm: 10.2484 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2391 loss: 1.2391 2022/08/08 17:22:56 - mmengine - INFO - Epoch(train) [31][760/1320] lr: 2.0000e-04 eta: 1:37:19 time: 0.2243 data_time: 0.0129 memory: 11037 grad_norm: 10.1170 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4696 loss: 1.4696 2022/08/08 17:23:01 - mmengine - INFO - Epoch(train) [31][780/1320] lr: 2.0000e-04 eta: 1:37:14 time: 0.2240 data_time: 0.0153 memory: 11037 grad_norm: 10.0611 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3453 loss: 1.3453 2022/08/08 17:23:05 - mmengine - INFO - Epoch(train) [31][800/1320] lr: 2.0000e-04 eta: 1:37:09 time: 0.2250 data_time: 0.0138 memory: 11037 grad_norm: 10.2060 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.3823 loss: 1.3823 2022/08/08 17:23:10 - mmengine - INFO - Epoch(train) [31][820/1320] lr: 2.0000e-04 eta: 1:37:05 time: 0.2324 data_time: 0.0138 memory: 11037 grad_norm: 10.0715 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.3172 loss: 1.3172 2022/08/08 17:23:15 - mmengine - INFO - Epoch(train) [31][840/1320] lr: 2.0000e-04 eta: 1:37:00 time: 0.2257 data_time: 0.0138 memory: 11037 grad_norm: 10.1306 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3489 loss: 1.3489 2022/08/08 17:23:19 - mmengine - INFO - Epoch(train) [31][860/1320] lr: 2.0000e-04 eta: 1:36:56 time: 0.2255 data_time: 0.0155 memory: 11037 grad_norm: 10.3101 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2845 loss: 1.2845 2022/08/08 17:23:24 - mmengine - INFO - Epoch(train) [31][880/1320] lr: 2.0000e-04 eta: 1:36:51 time: 0.2247 data_time: 0.0138 memory: 11037 grad_norm: 10.1366 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3154 loss: 1.3154 2022/08/08 17:23:28 - mmengine - INFO - Epoch(train) [31][900/1320] lr: 2.0000e-04 eta: 1:36:47 time: 0.2379 data_time: 0.0154 memory: 11037 grad_norm: 9.9704 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2573 loss: 1.2573 2022/08/08 17:23:33 - mmengine - INFO - Epoch(train) [31][920/1320] lr: 2.0000e-04 eta: 1:36:42 time: 0.2256 data_time: 0.0146 memory: 11037 grad_norm: 10.2475 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1814 loss: 1.1814 2022/08/08 17:23:37 - mmengine - INFO - Epoch(train) [31][940/1320] lr: 2.0000e-04 eta: 1:36:38 time: 0.2243 data_time: 0.0125 memory: 11037 grad_norm: 10.5909 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4611 loss: 1.4611 2022/08/08 17:23:42 - mmengine - INFO - Epoch(train) [31][960/1320] lr: 2.0000e-04 eta: 1:36:33 time: 0.2243 data_time: 0.0131 memory: 11037 grad_norm: 9.6127 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2528 loss: 1.2528 2022/08/08 17:23:47 - mmengine - INFO - Epoch(train) [31][980/1320] lr: 2.0000e-04 eta: 1:36:29 time: 0.2414 data_time: 0.0146 memory: 11037 grad_norm: 10.3138 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4239 loss: 1.4239 2022/08/08 17:23:51 - mmengine - INFO - Epoch(train) [31][1000/1320] lr: 2.0000e-04 eta: 1:36:24 time: 0.2234 data_time: 0.0129 memory: 11037 grad_norm: 10.1864 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.3688 loss: 1.3688 2022/08/08 17:23:56 - mmengine - INFO - Epoch(train) [31][1020/1320] lr: 2.0000e-04 eta: 1:36:19 time: 0.2235 data_time: 0.0127 memory: 11037 grad_norm: 9.9894 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.2921 loss: 1.2921 2022/08/08 17:24:00 - mmengine - INFO - Epoch(train) [31][1040/1320] lr: 2.0000e-04 eta: 1:36:15 time: 0.2277 data_time: 0.0162 memory: 11037 grad_norm: 10.0960 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3354 loss: 1.3354 2022/08/08 17:24:05 - mmengine - INFO - Epoch(train) [31][1060/1320] lr: 2.0000e-04 eta: 1:36:10 time: 0.2240 data_time: 0.0132 memory: 11037 grad_norm: 10.1903 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2328 loss: 1.2328 2022/08/08 17:24:09 - mmengine - INFO - Epoch(train) [31][1080/1320] lr: 2.0000e-04 eta: 1:36:06 time: 0.2245 data_time: 0.0135 memory: 11037 grad_norm: 10.3172 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4408 loss: 1.4408 2022/08/08 17:24:14 - mmengine - INFO - Epoch(train) [31][1100/1320] lr: 2.0000e-04 eta: 1:36:01 time: 0.2255 data_time: 0.0142 memory: 11037 grad_norm: 10.0640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3313 loss: 1.3313 2022/08/08 17:24:18 - mmengine - INFO - Epoch(train) [31][1120/1320] lr: 2.0000e-04 eta: 1:35:56 time: 0.2263 data_time: 0.0140 memory: 11037 grad_norm: 10.2062 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3317 loss: 1.3317 2022/08/08 17:24:23 - mmengine - INFO - Epoch(train) [31][1140/1320] lr: 2.0000e-04 eta: 1:35:52 time: 0.2247 data_time: 0.0135 memory: 11037 grad_norm: 10.3563 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4888 loss: 1.4888 2022/08/08 17:24:27 - mmengine - INFO - Epoch(train) [31][1160/1320] lr: 2.0000e-04 eta: 1:35:47 time: 0.2279 data_time: 0.0157 memory: 11037 grad_norm: 10.2867 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5071 loss: 1.5071 2022/08/08 17:24:32 - mmengine - INFO - Epoch(train) [31][1180/1320] lr: 2.0000e-04 eta: 1:35:43 time: 0.2239 data_time: 0.0150 memory: 11037 grad_norm: 9.9922 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2387 loss: 1.2387 2022/08/08 17:24:36 - mmengine - INFO - Epoch(train) [31][1200/1320] lr: 2.0000e-04 eta: 1:35:38 time: 0.2247 data_time: 0.0130 memory: 11037 grad_norm: 10.0816 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3558 loss: 1.3558 2022/08/08 17:24:41 - mmengine - INFO - Epoch(train) [31][1220/1320] lr: 2.0000e-04 eta: 1:35:34 time: 0.2251 data_time: 0.0146 memory: 11037 grad_norm: 10.1840 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3468 loss: 1.3468 2022/08/08 17:24:45 - mmengine - INFO - Epoch(train) [31][1240/1320] lr: 2.0000e-04 eta: 1:35:29 time: 0.2235 data_time: 0.0130 memory: 11037 grad_norm: 10.5189 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3696 loss: 1.3696 2022/08/08 17:24:50 - mmengine - INFO - Epoch(train) [31][1260/1320] lr: 2.0000e-04 eta: 1:35:24 time: 0.2262 data_time: 0.0141 memory: 11037 grad_norm: 10.1456 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2518 loss: 1.2518 2022/08/08 17:24:54 - mmengine - INFO - Epoch(train) [31][1280/1320] lr: 2.0000e-04 eta: 1:35:20 time: 0.2258 data_time: 0.0147 memory: 11037 grad_norm: 9.8073 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1806 loss: 1.1806 2022/08/08 17:24:59 - mmengine - INFO - Epoch(train) [31][1300/1320] lr: 2.0000e-04 eta: 1:35:15 time: 0.2266 data_time: 0.0152 memory: 11037 grad_norm: 10.3769 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3720 loss: 1.3720 2022/08/08 17:25:03 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:25:03 - mmengine - INFO - Epoch(train) [31][1320/1320] lr: 2.0000e-04 eta: 1:35:11 time: 0.2151 data_time: 0.0130 memory: 11037 grad_norm: 9.7387 top1_acc: 0.7273 top5_acc: 0.8182 loss_cls: 1.1883 loss: 1.1883 2022/08/08 17:25:03 - mmengine - INFO - Saving checkpoint at 31 epochs 2022/08/08 17:25:09 - mmengine - INFO - Epoch(val) [31][20/194] eta: 0:00:28 time: 0.1624 data_time: 0.0883 memory: 1858 2022/08/08 17:25:11 - mmengine - INFO - Epoch(val) [31][40/194] eta: 0:00:16 time: 0.1079 data_time: 0.0323 memory: 1858 2022/08/08 17:25:13 - mmengine - INFO - Epoch(val) [31][60/194] eta: 0:00:15 time: 0.1151 data_time: 0.0391 memory: 1858 2022/08/08 17:25:15 - mmengine - INFO - Epoch(val) [31][80/194] eta: 0:00:12 time: 0.1117 data_time: 0.0330 memory: 1858 2022/08/08 17:25:18 - mmengine - INFO - Epoch(val) [31][100/194] eta: 0:00:11 time: 0.1205 data_time: 0.0366 memory: 1858 2022/08/08 17:25:20 - mmengine - INFO - Epoch(val) [31][120/194] eta: 0:00:08 time: 0.1117 data_time: 0.0332 memory: 1858 2022/08/08 17:25:22 - mmengine - INFO - Epoch(val) [31][140/194] eta: 0:00:06 time: 0.1174 data_time: 0.0410 memory: 1858 2022/08/08 17:25:24 - mmengine - INFO - Epoch(val) [31][160/194] eta: 0:00:03 time: 0.1010 data_time: 0.0248 memory: 1858 2022/08/08 17:25:26 - mmengine - INFO - Epoch(val) [31][180/194] eta: 0:00:01 time: 0.0884 data_time: 0.0275 memory: 1858 2022/08/08 17:25:28 - mmengine - INFO - Epoch(val) [31][194/194] acc/top1: 0.4772 acc/top5: 0.7604 acc/mean1: 0.4013 2022/08/08 17:25:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_29.pth is removed 2022/08/08 17:25:29 - mmengine - INFO - The best checkpoint with 0.4772 acc/top1 at 32 epoch is saved to best_acc/top1_epoch_32.pth. 2022/08/08 17:25:29 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 17:25:34 - mmengine - INFO - Epoch(train) [32][20/1320] lr: 2.0000e-04 eta: 1:35:06 time: 0.2509 data_time: 0.0380 memory: 11037 grad_norm: 10.1855 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4982 loss: 1.4982 2022/08/08 17:25:39 - mmengine - INFO - Epoch(train) [32][40/1320] lr: 2.0000e-04 eta: 1:35:02 time: 0.2243 data_time: 0.0129 memory: 11037 grad_norm: 10.0214 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3135 loss: 1.3135 2022/08/08 17:25:43 - mmengine - INFO - Epoch(train) [32][60/1320] lr: 2.0000e-04 eta: 1:34:57 time: 0.2260 data_time: 0.0159 memory: 11037 grad_norm: 10.3209 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3555 loss: 1.3555 2022/08/08 17:25:48 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:25:48 - mmengine - INFO - Epoch(train) [32][80/1320] lr: 2.0000e-04 eta: 1:34:52 time: 0.2264 data_time: 0.0129 memory: 11037 grad_norm: 10.3345 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3194 loss: 1.3194 2022/08/08 17:25:52 - mmengine - INFO - Epoch(train) [32][100/1320] lr: 2.0000e-04 eta: 1:34:48 time: 0.2251 data_time: 0.0133 memory: 11037 grad_norm: 10.3647 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4455 loss: 1.4455 2022/08/08 17:25:57 - mmengine - INFO - Epoch(train) [32][120/1320] lr: 2.0000e-04 eta: 1:34:43 time: 0.2272 data_time: 0.0160 memory: 11037 grad_norm: 10.3106 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3113 loss: 1.3113 2022/08/08 17:26:01 - mmengine - INFO - Epoch(train) [32][140/1320] lr: 2.0000e-04 eta: 1:34:39 time: 0.2232 data_time: 0.0130 memory: 11037 grad_norm: 10.4608 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3235 loss: 1.3235 2022/08/08 17:26:06 - mmengine - INFO - Epoch(train) [32][160/1320] lr: 2.0000e-04 eta: 1:34:34 time: 0.2282 data_time: 0.0132 memory: 11037 grad_norm: 10.1992 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3167 loss: 1.3167 2022/08/08 17:26:11 - mmengine - INFO - Epoch(train) [32][180/1320] lr: 2.0000e-04 eta: 1:34:30 time: 0.2281 data_time: 0.0149 memory: 11037 grad_norm: 10.2291 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3500 loss: 1.3500 2022/08/08 17:26:15 - mmengine - INFO - Epoch(train) [32][200/1320] lr: 2.0000e-04 eta: 1:34:25 time: 0.2227 data_time: 0.0128 memory: 11037 grad_norm: 10.2732 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3829 loss: 1.3829 2022/08/08 17:26:20 - mmengine - INFO - Epoch(train) [32][220/1320] lr: 2.0000e-04 eta: 1:34:20 time: 0.2259 data_time: 0.0140 memory: 11037 grad_norm: 10.1212 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3757 loss: 1.3757 2022/08/08 17:26:24 - mmengine - INFO - Epoch(train) [32][240/1320] lr: 2.0000e-04 eta: 1:34:16 time: 0.2254 data_time: 0.0147 memory: 11037 grad_norm: 10.1450 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5458 loss: 1.5458 2022/08/08 17:26:29 - mmengine - INFO - Epoch(train) [32][260/1320] lr: 2.0000e-04 eta: 1:34:11 time: 0.2244 data_time: 0.0165 memory: 11037 grad_norm: 10.0564 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4762 loss: 1.4762 2022/08/08 17:26:33 - mmengine - INFO - Epoch(train) [32][280/1320] lr: 2.0000e-04 eta: 1:34:07 time: 0.2242 data_time: 0.0135 memory: 11037 grad_norm: 10.0691 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3737 loss: 1.3737 2022/08/08 17:26:38 - mmengine - INFO - Epoch(train) [32][300/1320] lr: 2.0000e-04 eta: 1:34:02 time: 0.2292 data_time: 0.0160 memory: 11037 grad_norm: 10.3399 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4454 loss: 1.4454 2022/08/08 17:26:42 - mmengine - INFO - Epoch(train) [32][320/1320] lr: 2.0000e-04 eta: 1:33:58 time: 0.2237 data_time: 0.0138 memory: 11037 grad_norm: 10.4815 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2035 loss: 1.2035 2022/08/08 17:26:47 - mmengine - INFO - Epoch(train) [32][340/1320] lr: 2.0000e-04 eta: 1:33:53 time: 0.2260 data_time: 0.0136 memory: 11037 grad_norm: 10.5290 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4642 loss: 1.4642 2022/08/08 17:26:51 - mmengine - INFO - Epoch(train) [32][360/1320] lr: 2.0000e-04 eta: 1:33:48 time: 0.2265 data_time: 0.0154 memory: 11037 grad_norm: 10.1998 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2160 loss: 1.2160 2022/08/08 17:26:56 - mmengine - INFO - Epoch(train) [32][380/1320] lr: 2.0000e-04 eta: 1:33:44 time: 0.2246 data_time: 0.0151 memory: 11037 grad_norm: 10.4171 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2968 loss: 1.2968 2022/08/08 17:27:00 - mmengine - INFO - Epoch(train) [32][400/1320] lr: 2.0000e-04 eta: 1:33:39 time: 0.2282 data_time: 0.0140 memory: 11037 grad_norm: 10.5551 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4958 loss: 1.4958 2022/08/08 17:27:05 - mmengine - INFO - Epoch(train) [32][420/1320] lr: 2.0000e-04 eta: 1:33:35 time: 0.2250 data_time: 0.0140 memory: 11037 grad_norm: 10.3394 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2933 loss: 1.2933 2022/08/08 17:27:09 - mmengine - INFO - Epoch(train) [32][440/1320] lr: 2.0000e-04 eta: 1:33:30 time: 0.2293 data_time: 0.0147 memory: 11037 grad_norm: 10.1237 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1071 loss: 1.1071 2022/08/08 17:27:14 - mmengine - INFO - Epoch(train) [32][460/1320] lr: 2.0000e-04 eta: 1:33:26 time: 0.2231 data_time: 0.0132 memory: 11037 grad_norm: 10.3295 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4121 loss: 1.4121 2022/08/08 17:27:18 - mmengine - INFO - Epoch(train) [32][480/1320] lr: 2.0000e-04 eta: 1:33:21 time: 0.2332 data_time: 0.0140 memory: 11037 grad_norm: 10.7395 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2253 loss: 1.2253 2022/08/08 17:27:23 - mmengine - INFO - Epoch(train) [32][500/1320] lr: 2.0000e-04 eta: 1:33:16 time: 0.2258 data_time: 0.0146 memory: 11037 grad_norm: 10.6964 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2866 loss: 1.2866 2022/08/08 17:27:27 - mmengine - INFO - Epoch(train) [32][520/1320] lr: 2.0000e-04 eta: 1:33:12 time: 0.2241 data_time: 0.0132 memory: 11037 grad_norm: 10.3214 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3610 loss: 1.3610 2022/08/08 17:27:32 - mmengine - INFO - Epoch(train) [32][540/1320] lr: 2.0000e-04 eta: 1:33:07 time: 0.2242 data_time: 0.0139 memory: 11037 grad_norm: 10.2220 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3956 loss: 1.3956 2022/08/08 17:27:36 - mmengine - INFO - Epoch(train) [32][560/1320] lr: 2.0000e-04 eta: 1:33:03 time: 0.2269 data_time: 0.0135 memory: 11037 grad_norm: 10.1904 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2115 loss: 1.2115 2022/08/08 17:27:41 - mmengine - INFO - Epoch(train) [32][580/1320] lr: 2.0000e-04 eta: 1:32:58 time: 0.2245 data_time: 0.0127 memory: 11037 grad_norm: 10.4580 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3750 loss: 1.3750 2022/08/08 17:27:45 - mmengine - INFO - Epoch(train) [32][600/1320] lr: 2.0000e-04 eta: 1:32:54 time: 0.2243 data_time: 0.0139 memory: 11037 grad_norm: 10.3108 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1249 loss: 1.1249 2022/08/08 17:27:50 - mmengine - INFO - Epoch(train) [32][620/1320] lr: 2.0000e-04 eta: 1:32:49 time: 0.2266 data_time: 0.0142 memory: 11037 grad_norm: 10.2178 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2927 loss: 1.2927 2022/08/08 17:27:54 - mmengine - INFO - Epoch(train) [32][640/1320] lr: 2.0000e-04 eta: 1:32:44 time: 0.2237 data_time: 0.0152 memory: 11037 grad_norm: 10.1202 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3324 loss: 1.3324 2022/08/08 17:27:59 - mmengine - INFO - Epoch(train) [32][660/1320] lr: 2.0000e-04 eta: 1:32:40 time: 0.2265 data_time: 0.0148 memory: 11037 grad_norm: 10.4575 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5483 loss: 1.5483 2022/08/08 17:28:03 - mmengine - INFO - Epoch(train) [32][680/1320] lr: 2.0000e-04 eta: 1:32:35 time: 0.2241 data_time: 0.0133 memory: 11037 grad_norm: 10.2250 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0739 loss: 1.0739 2022/08/08 17:28:08 - mmengine - INFO - Epoch(train) [32][700/1320] lr: 2.0000e-04 eta: 1:32:31 time: 0.2270 data_time: 0.0143 memory: 11037 grad_norm: 10.3020 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2482 loss: 1.2482 2022/08/08 17:28:13 - mmengine - INFO - Epoch(train) [32][720/1320] lr: 2.0000e-04 eta: 1:32:26 time: 0.2256 data_time: 0.0165 memory: 11037 grad_norm: 10.4506 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2816 loss: 1.2816 2022/08/08 17:28:17 - mmengine - INFO - Epoch(train) [32][740/1320] lr: 2.0000e-04 eta: 1:32:21 time: 0.2246 data_time: 0.0145 memory: 11037 grad_norm: 10.2227 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2740 loss: 1.2740 2022/08/08 17:28:21 - mmengine - INFO - Epoch(train) [32][760/1320] lr: 2.0000e-04 eta: 1:32:17 time: 0.2242 data_time: 0.0131 memory: 11037 grad_norm: 10.3413 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3651 loss: 1.3651 2022/08/08 17:28:26 - mmengine - INFO - Epoch(train) [32][780/1320] lr: 2.0000e-04 eta: 1:32:12 time: 0.2242 data_time: 0.0142 memory: 11037 grad_norm: 10.0810 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2458 loss: 1.2458 2022/08/08 17:28:31 - mmengine - INFO - Epoch(train) [32][800/1320] lr: 2.0000e-04 eta: 1:32:08 time: 0.2272 data_time: 0.0141 memory: 11037 grad_norm: 10.5494 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3622 loss: 1.3622 2022/08/08 17:28:35 - mmengine - INFO - Epoch(train) [32][820/1320] lr: 2.0000e-04 eta: 1:32:03 time: 0.2256 data_time: 0.0131 memory: 11037 grad_norm: 10.3647 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3358 loss: 1.3358 2022/08/08 17:28:40 - mmengine - INFO - Epoch(train) [32][840/1320] lr: 2.0000e-04 eta: 1:31:59 time: 0.2253 data_time: 0.0142 memory: 11037 grad_norm: 10.5562 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2964 loss: 1.2964 2022/08/08 17:28:44 - mmengine - INFO - Epoch(train) [32][860/1320] lr: 2.0000e-04 eta: 1:31:54 time: 0.2250 data_time: 0.0137 memory: 11037 grad_norm: 10.4262 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.3784 loss: 1.3784 2022/08/08 17:28:49 - mmengine - INFO - Epoch(train) [32][880/1320] lr: 2.0000e-04 eta: 1:31:49 time: 0.2339 data_time: 0.0139 memory: 11037 grad_norm: 10.1950 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2632 loss: 1.2632 2022/08/08 17:28:53 - mmengine - INFO - Epoch(train) [32][900/1320] lr: 2.0000e-04 eta: 1:31:45 time: 0.2260 data_time: 0.0148 memory: 11037 grad_norm: 10.4055 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2664 loss: 1.2664 2022/08/08 17:28:58 - mmengine - INFO - Epoch(train) [32][920/1320] lr: 2.0000e-04 eta: 1:31:40 time: 0.2249 data_time: 0.0140 memory: 11037 grad_norm: 10.5041 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4100 loss: 1.4100 2022/08/08 17:29:02 - mmengine - INFO - Epoch(train) [32][940/1320] lr: 2.0000e-04 eta: 1:31:36 time: 0.2242 data_time: 0.0129 memory: 11037 grad_norm: 10.3688 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1756 loss: 1.1756 2022/08/08 17:29:07 - mmengine - INFO - Epoch(train) [32][960/1320] lr: 2.0000e-04 eta: 1:31:31 time: 0.2280 data_time: 0.0152 memory: 11037 grad_norm: 10.1877 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3674 loss: 1.3674 2022/08/08 17:29:11 - mmengine - INFO - Epoch(train) [32][980/1320] lr: 2.0000e-04 eta: 1:31:27 time: 0.2239 data_time: 0.0132 memory: 11037 grad_norm: 10.5716 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3312 loss: 1.3312 2022/08/08 17:29:16 - mmengine - INFO - Epoch(train) [32][1000/1320] lr: 2.0000e-04 eta: 1:31:22 time: 0.2239 data_time: 0.0131 memory: 11037 grad_norm: 10.5952 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3676 loss: 1.3676 2022/08/08 17:29:20 - mmengine - INFO - Epoch(train) [32][1020/1320] lr: 2.0000e-04 eta: 1:31:17 time: 0.2262 data_time: 0.0161 memory: 11037 grad_norm: 10.5477 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2617 loss: 1.2617 2022/08/08 17:29:25 - mmengine - INFO - Epoch(train) [32][1040/1320] lr: 2.0000e-04 eta: 1:31:13 time: 0.2242 data_time: 0.0153 memory: 11037 grad_norm: 10.1247 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1945 loss: 1.1945 2022/08/08 17:29:29 - mmengine - INFO - Epoch(train) [32][1060/1320] lr: 2.0000e-04 eta: 1:31:08 time: 0.2278 data_time: 0.0137 memory: 11037 grad_norm: 10.4994 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2555 loss: 1.2555 2022/08/08 17:29:34 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:29:34 - mmengine - INFO - Epoch(train) [32][1080/1320] lr: 2.0000e-04 eta: 1:31:04 time: 0.2261 data_time: 0.0145 memory: 11037 grad_norm: 10.6259 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3039 loss: 1.3039 2022/08/08 17:29:38 - mmengine - INFO - Epoch(train) [32][1100/1320] lr: 2.0000e-04 eta: 1:30:59 time: 0.2252 data_time: 0.0137 memory: 11037 grad_norm: 10.6868 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4354 loss: 1.4354 2022/08/08 17:29:43 - mmengine - INFO - Epoch(train) [32][1120/1320] lr: 2.0000e-04 eta: 1:30:55 time: 0.2237 data_time: 0.0154 memory: 11037 grad_norm: 10.1958 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3151 loss: 1.3151 2022/08/08 17:29:48 - mmengine - INFO - Epoch(train) [32][1140/1320] lr: 2.0000e-04 eta: 1:30:50 time: 0.2319 data_time: 0.0151 memory: 11037 grad_norm: 10.3478 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2847 loss: 1.2847 2022/08/08 17:29:52 - mmengine - INFO - Epoch(train) [32][1160/1320] lr: 2.0000e-04 eta: 1:30:45 time: 0.2246 data_time: 0.0136 memory: 11037 grad_norm: 10.1956 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2411 loss: 1.2411 2022/08/08 17:29:57 - mmengine - INFO - Epoch(train) [32][1180/1320] lr: 2.0000e-04 eta: 1:30:41 time: 0.2250 data_time: 0.0136 memory: 11037 grad_norm: 10.6132 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.3879 loss: 1.3879 2022/08/08 17:30:01 - mmengine - INFO - Epoch(train) [32][1200/1320] lr: 2.0000e-04 eta: 1:30:36 time: 0.2262 data_time: 0.0149 memory: 11037 grad_norm: 10.4590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4076 loss: 1.4076 2022/08/08 17:30:06 - mmengine - INFO - Epoch(train) [32][1220/1320] lr: 2.0000e-04 eta: 1:30:32 time: 0.2239 data_time: 0.0134 memory: 11037 grad_norm: 10.5992 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.5110 loss: 1.5110 2022/08/08 17:30:10 - mmengine - INFO - Epoch(train) [32][1240/1320] lr: 2.0000e-04 eta: 1:30:27 time: 0.2275 data_time: 0.0145 memory: 11037 grad_norm: 10.3186 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2380 loss: 1.2380 2022/08/08 17:30:15 - mmengine - INFO - Epoch(train) [32][1260/1320] lr: 2.0000e-04 eta: 1:30:23 time: 0.2255 data_time: 0.0138 memory: 11037 grad_norm: 10.3713 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2162 loss: 1.2162 2022/08/08 17:30:19 - mmengine - INFO - Epoch(train) [32][1280/1320] lr: 2.0000e-04 eta: 1:30:18 time: 0.2244 data_time: 0.0131 memory: 11037 grad_norm: 10.2287 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2294 loss: 1.2294 2022/08/08 17:30:24 - mmengine - INFO - Epoch(train) [32][1300/1320] lr: 2.0000e-04 eta: 1:30:13 time: 0.2243 data_time: 0.0137 memory: 11037 grad_norm: 10.7834 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2457 loss: 1.2457 2022/08/08 17:30:28 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:30:28 - mmengine - INFO - Epoch(train) [32][1320/1320] lr: 2.0000e-04 eta: 1:30:09 time: 0.2186 data_time: 0.0145 memory: 11037 grad_norm: 10.5651 top1_acc: 0.7273 top5_acc: 0.9091 loss_cls: 1.2290 loss: 1.2290 2022/08/08 17:30:28 - mmengine - INFO - Saving checkpoint at 32 epochs 2022/08/08 17:30:34 - mmengine - INFO - Epoch(val) [32][20/194] eta: 0:00:28 time: 0.1625 data_time: 0.0820 memory: 1858 2022/08/08 17:30:36 - mmengine - INFO - Epoch(val) [32][40/194] eta: 0:00:17 time: 0.1125 data_time: 0.0303 memory: 1858 2022/08/08 17:30:38 - mmengine - INFO - Epoch(val) [32][60/194] eta: 0:00:16 time: 0.1199 data_time: 0.0417 memory: 1858 2022/08/08 17:30:40 - mmengine - INFO - Epoch(val) [32][80/194] eta: 0:00:11 time: 0.1036 data_time: 0.0218 memory: 1858 2022/08/08 17:30:43 - mmengine - INFO - Epoch(val) [32][100/194] eta: 0:00:11 time: 0.1185 data_time: 0.0417 memory: 1858 2022/08/08 17:30:45 - mmengine - INFO - Epoch(val) [32][120/194] eta: 0:00:08 time: 0.1139 data_time: 0.0391 memory: 1858 2022/08/08 17:30:47 - mmengine - INFO - Epoch(val) [32][140/194] eta: 0:00:06 time: 0.1234 data_time: 0.0457 memory: 1858 2022/08/08 17:30:49 - mmengine - INFO - Epoch(val) [32][160/194] eta: 0:00:03 time: 0.0995 data_time: 0.0234 memory: 1858 2022/08/08 17:30:51 - mmengine - INFO - Epoch(val) [32][180/194] eta: 0:00:01 time: 0.0835 data_time: 0.0234 memory: 1858 2022/08/08 17:30:53 - mmengine - INFO - Epoch(val) [32][194/194] acc/top1: 0.4816 acc/top5: 0.7665 acc/mean1: 0.4085 2022/08/08 17:30:53 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_32.pth is removed 2022/08/08 17:30:54 - mmengine - INFO - The best checkpoint with 0.4816 acc/top1 at 33 epoch is saved to best_acc/top1_epoch_33.pth. 2022/08/08 17:30:54 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 17:30:59 - mmengine - INFO - Epoch(train) [33][20/1320] lr: 2.0000e-04 eta: 1:30:04 time: 0.2537 data_time: 0.0389 memory: 11037 grad_norm: 9.9174 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2376 loss: 1.2376 2022/08/08 17:31:04 - mmengine - INFO - Epoch(train) [33][40/1320] lr: 2.0000e-04 eta: 1:30:00 time: 0.2258 data_time: 0.0135 memory: 11037 grad_norm: 10.4424 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2303 loss: 1.2303 2022/08/08 17:31:09 - mmengine - INFO - Epoch(train) [33][60/1320] lr: 2.0000e-04 eta: 1:29:55 time: 0.2365 data_time: 0.0147 memory: 11037 grad_norm: 10.2624 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3803 loss: 1.3803 2022/08/08 17:31:13 - mmengine - INFO - Epoch(train) [33][80/1320] lr: 2.0000e-04 eta: 1:29:51 time: 0.2239 data_time: 0.0138 memory: 11037 grad_norm: 10.4886 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2391 loss: 1.2391 2022/08/08 17:31:18 - mmengine - INFO - Epoch(train) [33][100/1320] lr: 2.0000e-04 eta: 1:29:46 time: 0.2231 data_time: 0.0139 memory: 11037 grad_norm: 10.2442 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3416 loss: 1.3416 2022/08/08 17:31:22 - mmengine - INFO - Epoch(train) [33][120/1320] lr: 2.0000e-04 eta: 1:29:42 time: 0.2254 data_time: 0.0148 memory: 11037 grad_norm: 10.5816 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2895 loss: 1.2895 2022/08/08 17:31:27 - mmengine - INFO - Epoch(train) [33][140/1320] lr: 2.0000e-04 eta: 1:29:37 time: 0.2272 data_time: 0.0128 memory: 11037 grad_norm: 10.5271 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3122 loss: 1.3122 2022/08/08 17:31:31 - mmengine - INFO - Epoch(train) [33][160/1320] lr: 2.0000e-04 eta: 1:29:32 time: 0.2238 data_time: 0.0126 memory: 11037 grad_norm: 10.2469 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1844 loss: 1.1844 2022/08/08 17:31:36 - mmengine - INFO - Epoch(train) [33][180/1320] lr: 2.0000e-04 eta: 1:29:28 time: 0.2243 data_time: 0.0135 memory: 11037 grad_norm: 10.6664 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3736 loss: 1.3736 2022/08/08 17:31:40 - mmengine - INFO - Epoch(train) [33][200/1320] lr: 2.0000e-04 eta: 1:29:23 time: 0.2277 data_time: 0.0146 memory: 11037 grad_norm: 10.5422 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2653 loss: 1.2653 2022/08/08 17:31:45 - mmengine - INFO - Epoch(train) [33][220/1320] lr: 2.0000e-04 eta: 1:29:19 time: 0.2234 data_time: 0.0128 memory: 11037 grad_norm: 10.1908 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4281 loss: 1.4281 2022/08/08 17:31:49 - mmengine - INFO - Epoch(train) [33][240/1320] lr: 2.0000e-04 eta: 1:29:14 time: 0.2252 data_time: 0.0141 memory: 11037 grad_norm: 10.3400 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3512 loss: 1.3512 2022/08/08 17:31:54 - mmengine - INFO - Epoch(train) [33][260/1320] lr: 2.0000e-04 eta: 1:29:10 time: 0.2235 data_time: 0.0142 memory: 11037 grad_norm: 10.6472 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3107 loss: 1.3107 2022/08/08 17:31:58 - mmengine - INFO - Epoch(train) [33][280/1320] lr: 2.0000e-04 eta: 1:29:05 time: 0.2328 data_time: 0.0147 memory: 11037 grad_norm: 10.5639 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2830 loss: 1.2830 2022/08/08 17:32:03 - mmengine - INFO - Epoch(train) [33][300/1320] lr: 2.0000e-04 eta: 1:29:00 time: 0.2246 data_time: 0.0140 memory: 11037 grad_norm: 10.5651 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3668 loss: 1.3668 2022/08/08 17:32:07 - mmengine - INFO - Epoch(train) [33][320/1320] lr: 2.0000e-04 eta: 1:28:56 time: 0.2259 data_time: 0.0154 memory: 11037 grad_norm: 10.4238 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3132 loss: 1.3132 2022/08/08 17:32:12 - mmengine - INFO - Epoch(train) [33][340/1320] lr: 2.0000e-04 eta: 1:28:51 time: 0.2246 data_time: 0.0142 memory: 11037 grad_norm: 10.3366 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2021 loss: 1.2021 2022/08/08 17:32:16 - mmengine - INFO - Epoch(train) [33][360/1320] lr: 2.0000e-04 eta: 1:28:47 time: 0.2255 data_time: 0.0133 memory: 11037 grad_norm: 10.9674 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3083 loss: 1.3083 2022/08/08 17:32:21 - mmengine - INFO - Epoch(train) [33][380/1320] lr: 2.0000e-04 eta: 1:28:42 time: 0.2249 data_time: 0.0139 memory: 11037 grad_norm: 10.6058 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3493 loss: 1.3493 2022/08/08 17:32:25 - mmengine - INFO - Epoch(train) [33][400/1320] lr: 2.0000e-04 eta: 1:28:38 time: 0.2270 data_time: 0.0163 memory: 11037 grad_norm: 10.4242 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1792 loss: 1.1792 2022/08/08 17:32:30 - mmengine - INFO - Epoch(train) [33][420/1320] lr: 2.0000e-04 eta: 1:28:33 time: 0.2286 data_time: 0.0164 memory: 11037 grad_norm: 10.3263 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3320 loss: 1.3320 2022/08/08 17:32:34 - mmengine - INFO - Epoch(train) [33][440/1320] lr: 2.0000e-04 eta: 1:28:28 time: 0.2246 data_time: 0.0138 memory: 11037 grad_norm: 10.5741 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2362 loss: 1.2362 2022/08/08 17:32:39 - mmengine - INFO - Epoch(train) [33][460/1320] lr: 2.0000e-04 eta: 1:28:24 time: 0.2246 data_time: 0.0138 memory: 11037 grad_norm: 10.5598 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3725 loss: 1.3725 2022/08/08 17:32:43 - mmengine - INFO - Epoch(train) [33][480/1320] lr: 2.0000e-04 eta: 1:28:19 time: 0.2264 data_time: 0.0148 memory: 11037 grad_norm: 10.5817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2865 loss: 1.2865 2022/08/08 17:32:48 - mmengine - INFO - Epoch(train) [33][500/1320] lr: 2.0000e-04 eta: 1:28:15 time: 0.2271 data_time: 0.0137 memory: 11037 grad_norm: 10.9491 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3930 loss: 1.3930 2022/08/08 17:32:52 - mmengine - INFO - Epoch(train) [33][520/1320] lr: 2.0000e-04 eta: 1:28:10 time: 0.2233 data_time: 0.0130 memory: 11037 grad_norm: 10.7638 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2721 loss: 1.2721 2022/08/08 17:32:57 - mmengine - INFO - Epoch(train) [33][540/1320] lr: 2.0000e-04 eta: 1:28:06 time: 0.2242 data_time: 0.0160 memory: 11037 grad_norm: 10.5409 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1336 loss: 1.1336 2022/08/08 17:33:01 - mmengine - INFO - Epoch(train) [33][560/1320] lr: 2.0000e-04 eta: 1:28:01 time: 0.2243 data_time: 0.0147 memory: 11037 grad_norm: 10.4904 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2205 loss: 1.2205 2022/08/08 17:33:06 - mmengine - INFO - Epoch(train) [33][580/1320] lr: 2.0000e-04 eta: 1:27:56 time: 0.2237 data_time: 0.0132 memory: 11037 grad_norm: 10.8258 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4530 loss: 1.4530 2022/08/08 17:33:10 - mmengine - INFO - Epoch(train) [33][600/1320] lr: 2.0000e-04 eta: 1:27:52 time: 0.2273 data_time: 0.0149 memory: 11037 grad_norm: 10.5415 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1393 loss: 1.1393 2022/08/08 17:33:15 - mmengine - INFO - Epoch(train) [33][620/1320] lr: 2.0000e-04 eta: 1:27:47 time: 0.2246 data_time: 0.0120 memory: 11037 grad_norm: 10.5726 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2693 loss: 1.2693 2022/08/08 17:33:19 - mmengine - INFO - Epoch(train) [33][640/1320] lr: 2.0000e-04 eta: 1:27:43 time: 0.2244 data_time: 0.0123 memory: 11037 grad_norm: 10.5380 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4881 loss: 1.4881 2022/08/08 17:33:24 - mmengine - INFO - Epoch(train) [33][660/1320] lr: 2.0000e-04 eta: 1:27:38 time: 0.2256 data_time: 0.0145 memory: 11037 grad_norm: 10.6203 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2335 loss: 1.2335 2022/08/08 17:33:29 - mmengine - INFO - Epoch(train) [33][680/1320] lr: 2.0000e-04 eta: 1:27:34 time: 0.2386 data_time: 0.0145 memory: 11037 grad_norm: 10.4129 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2173 loss: 1.2173 2022/08/08 17:33:33 - mmengine - INFO - Epoch(train) [33][700/1320] lr: 2.0000e-04 eta: 1:27:29 time: 0.2248 data_time: 0.0135 memory: 11037 grad_norm: 10.4993 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4674 loss: 1.4674 2022/08/08 17:33:38 - mmengine - INFO - Epoch(train) [33][720/1320] lr: 2.0000e-04 eta: 1:27:24 time: 0.2265 data_time: 0.0150 memory: 11037 grad_norm: 10.2170 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2179 loss: 1.2179 2022/08/08 17:33:42 - mmengine - INFO - Epoch(train) [33][740/1320] lr: 2.0000e-04 eta: 1:27:20 time: 0.2255 data_time: 0.0142 memory: 11037 grad_norm: 10.6549 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2183 loss: 1.2183 2022/08/08 17:33:47 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:33:47 - mmengine - INFO - Epoch(train) [33][760/1320] lr: 2.0000e-04 eta: 1:27:15 time: 0.2301 data_time: 0.0134 memory: 11037 grad_norm: 10.3888 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2483 loss: 1.2483 2022/08/08 17:33:51 - mmengine - INFO - Epoch(train) [33][780/1320] lr: 2.0000e-04 eta: 1:27:11 time: 0.2270 data_time: 0.0149 memory: 11037 grad_norm: 10.6371 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2688 loss: 1.2688 2022/08/08 17:33:56 - mmengine - INFO - Epoch(train) [33][800/1320] lr: 2.0000e-04 eta: 1:27:06 time: 0.2239 data_time: 0.0122 memory: 11037 grad_norm: 10.6433 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2102 loss: 1.2102 2022/08/08 17:34:00 - mmengine - INFO - Epoch(train) [33][820/1320] lr: 2.0000e-04 eta: 1:27:02 time: 0.2240 data_time: 0.0134 memory: 11037 grad_norm: 10.4849 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2022 loss: 1.2022 2022/08/08 17:34:05 - mmengine - INFO - Epoch(train) [33][840/1320] lr: 2.0000e-04 eta: 1:26:57 time: 0.2284 data_time: 0.0165 memory: 11037 grad_norm: 10.5817 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2797 loss: 1.2797 2022/08/08 17:34:09 - mmengine - INFO - Epoch(train) [33][860/1320] lr: 2.0000e-04 eta: 1:26:53 time: 0.2253 data_time: 0.0138 memory: 11037 grad_norm: 10.4222 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2717 loss: 1.2717 2022/08/08 17:34:14 - mmengine - INFO - Epoch(train) [33][880/1320] lr: 2.0000e-04 eta: 1:26:48 time: 0.2237 data_time: 0.0130 memory: 11037 grad_norm: 10.4813 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3798 loss: 1.3798 2022/08/08 17:34:19 - mmengine - INFO - Epoch(train) [33][900/1320] lr: 2.0000e-04 eta: 1:26:43 time: 0.2300 data_time: 0.0151 memory: 11037 grad_norm: 10.5137 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1805 loss: 1.1805 2022/08/08 17:34:23 - mmengine - INFO - Epoch(train) [33][920/1320] lr: 2.0000e-04 eta: 1:26:39 time: 0.2234 data_time: 0.0127 memory: 11037 grad_norm: 10.8026 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1830 loss: 1.1830 2022/08/08 17:34:27 - mmengine - INFO - Epoch(train) [33][940/1320] lr: 2.0000e-04 eta: 1:26:34 time: 0.2241 data_time: 0.0141 memory: 11037 grad_norm: 10.4429 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3976 loss: 1.3976 2022/08/08 17:34:32 - mmengine - INFO - Epoch(train) [33][960/1320] lr: 2.0000e-04 eta: 1:26:30 time: 0.2269 data_time: 0.0151 memory: 11037 grad_norm: 10.4262 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4746 loss: 1.4746 2022/08/08 17:34:36 - mmengine - INFO - Epoch(train) [33][980/1320] lr: 2.0000e-04 eta: 1:26:25 time: 0.2243 data_time: 0.0146 memory: 11037 grad_norm: 10.5956 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4074 loss: 1.4074 2022/08/08 17:34:41 - mmengine - INFO - Epoch(train) [33][1000/1320] lr: 2.0000e-04 eta: 1:26:20 time: 0.2252 data_time: 0.0139 memory: 11037 grad_norm: 10.5079 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3310 loss: 1.3310 2022/08/08 17:34:45 - mmengine - INFO - Epoch(train) [33][1020/1320] lr: 2.0000e-04 eta: 1:26:16 time: 0.2245 data_time: 0.0135 memory: 11037 grad_norm: 10.6044 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2990 loss: 1.2990 2022/08/08 17:34:50 - mmengine - INFO - Epoch(train) [33][1040/1320] lr: 2.0000e-04 eta: 1:26:11 time: 0.2257 data_time: 0.0140 memory: 11037 grad_norm: 10.2920 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2028 loss: 1.2028 2022/08/08 17:34:55 - mmengine - INFO - Epoch(train) [33][1060/1320] lr: 2.0000e-04 eta: 1:26:07 time: 0.2248 data_time: 0.0137 memory: 11037 grad_norm: 10.4676 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1816 loss: 1.1816 2022/08/08 17:34:59 - mmengine - INFO - Epoch(train) [33][1080/1320] lr: 2.0000e-04 eta: 1:26:02 time: 0.2271 data_time: 0.0145 memory: 11037 grad_norm: 11.0799 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3168 loss: 1.3168 2022/08/08 17:35:04 - mmengine - INFO - Epoch(train) [33][1100/1320] lr: 2.0000e-04 eta: 1:25:58 time: 0.2241 data_time: 0.0139 memory: 11037 grad_norm: 10.6759 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2684 loss: 1.2684 2022/08/08 17:35:08 - mmengine - INFO - Epoch(train) [33][1120/1320] lr: 2.0000e-04 eta: 1:25:53 time: 0.2284 data_time: 0.0145 memory: 11037 grad_norm: 10.4209 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2828 loss: 1.2828 2022/08/08 17:35:13 - mmengine - INFO - Epoch(train) [33][1140/1320] lr: 2.0000e-04 eta: 1:25:48 time: 0.2249 data_time: 0.0142 memory: 11037 grad_norm: 10.6120 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1963 loss: 1.1963 2022/08/08 17:35:17 - mmengine - INFO - Epoch(train) [33][1160/1320] lr: 2.0000e-04 eta: 1:25:44 time: 0.2257 data_time: 0.0141 memory: 11037 grad_norm: 10.9214 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2754 loss: 1.2754 2022/08/08 17:35:22 - mmengine - INFO - Epoch(train) [33][1180/1320] lr: 2.0000e-04 eta: 1:25:39 time: 0.2257 data_time: 0.0141 memory: 11037 grad_norm: 10.4014 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1640 loss: 1.1640 2022/08/08 17:35:26 - mmengine - INFO - Epoch(train) [33][1200/1320] lr: 2.0000e-04 eta: 1:25:35 time: 0.2268 data_time: 0.0155 memory: 11037 grad_norm: 10.6684 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2569 loss: 1.2569 2022/08/08 17:35:31 - mmengine - INFO - Epoch(train) [33][1220/1320] lr: 2.0000e-04 eta: 1:25:30 time: 0.2243 data_time: 0.0122 memory: 11037 grad_norm: 10.5356 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1742 loss: 1.1742 2022/08/08 17:35:35 - mmengine - INFO - Epoch(train) [33][1240/1320] lr: 2.0000e-04 eta: 1:25:26 time: 0.2250 data_time: 0.0136 memory: 11037 grad_norm: 11.0341 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3900 loss: 1.3900 2022/08/08 17:35:40 - mmengine - INFO - Epoch(train) [33][1260/1320] lr: 2.0000e-04 eta: 1:25:21 time: 0.2346 data_time: 0.0160 memory: 11037 grad_norm: 10.2325 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1124 loss: 1.1124 2022/08/08 17:35:44 - mmengine - INFO - Epoch(train) [33][1280/1320] lr: 2.0000e-04 eta: 1:25:17 time: 0.2253 data_time: 0.0140 memory: 11037 grad_norm: 10.2766 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2016 loss: 1.2016 2022/08/08 17:35:49 - mmengine - INFO - Epoch(train) [33][1300/1320] lr: 2.0000e-04 eta: 1:25:12 time: 0.2237 data_time: 0.0137 memory: 11037 grad_norm: 10.5420 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1245 loss: 1.1245 2022/08/08 17:35:53 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:35:53 - mmengine - INFO - Epoch(train) [33][1320/1320] lr: 2.0000e-04 eta: 1:25:07 time: 0.2159 data_time: 0.0142 memory: 11037 grad_norm: 10.7466 top1_acc: 0.7273 top5_acc: 0.9091 loss_cls: 1.3057 loss: 1.3057 2022/08/08 17:35:53 - mmengine - INFO - Saving checkpoint at 33 epochs 2022/08/08 17:35:59 - mmengine - INFO - Epoch(val) [33][20/194] eta: 0:00:29 time: 0.1696 data_time: 0.0890 memory: 1858 2022/08/08 17:36:01 - mmengine - INFO - Epoch(val) [33][40/194] eta: 0:00:17 time: 0.1127 data_time: 0.0334 memory: 1858 2022/08/08 17:36:03 - mmengine - INFO - Epoch(val) [33][60/194] eta: 0:00:15 time: 0.1154 data_time: 0.0374 memory: 1858 2022/08/08 17:36:06 - mmengine - INFO - Epoch(val) [33][80/194] eta: 0:00:12 time: 0.1130 data_time: 0.0365 memory: 1858 2022/08/08 17:36:08 - mmengine - INFO - Epoch(val) [33][100/194] eta: 0:00:10 time: 0.1167 data_time: 0.0374 memory: 1858 2022/08/08 17:36:10 - mmengine - INFO - Epoch(val) [33][120/194] eta: 0:00:08 time: 0.1123 data_time: 0.0353 memory: 1858 2022/08/08 17:36:13 - mmengine - INFO - Epoch(val) [33][140/194] eta: 0:00:06 time: 0.1220 data_time: 0.0421 memory: 1858 2022/08/08 17:36:15 - mmengine - INFO - Epoch(val) [33][160/194] eta: 0:00:03 time: 0.1065 data_time: 0.0290 memory: 1858 2022/08/08 17:36:16 - mmengine - INFO - Epoch(val) [33][180/194] eta: 0:00:01 time: 0.0784 data_time: 0.0183 memory: 1858 2022/08/08 17:36:18 - mmengine - INFO - Epoch(val) [33][194/194] acc/top1: 0.4825 acc/top5: 0.7625 acc/mean1: 0.4080 2022/08/08 17:36:18 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_33.pth is removed 2022/08/08 17:36:20 - mmengine - INFO - The best checkpoint with 0.4825 acc/top1 at 34 epoch is saved to best_acc/top1_epoch_34.pth. 2022/08/08 17:36:20 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 17:36:25 - mmengine - INFO - Epoch(train) [34][20/1320] lr: 2.0000e-04 eta: 1:25:03 time: 0.2474 data_time: 0.0386 memory: 11037 grad_norm: 10.7042 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1136 loss: 1.1136 2022/08/08 17:36:29 - mmengine - INFO - Epoch(train) [34][40/1320] lr: 2.0000e-04 eta: 1:24:58 time: 0.2242 data_time: 0.0129 memory: 11037 grad_norm: 10.5815 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3139 loss: 1.3139 2022/08/08 17:36:34 - mmengine - INFO - Epoch(train) [34][60/1320] lr: 2.0000e-04 eta: 1:24:54 time: 0.2258 data_time: 0.0153 memory: 11037 grad_norm: 10.8577 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3645 loss: 1.3645 2022/08/08 17:36:38 - mmengine - INFO - Epoch(train) [34][80/1320] lr: 2.0000e-04 eta: 1:24:49 time: 0.2267 data_time: 0.0131 memory: 11037 grad_norm: 10.4796 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4435 loss: 1.4435 2022/08/08 17:36:43 - mmengine - INFO - Epoch(train) [34][100/1320] lr: 2.0000e-04 eta: 1:24:45 time: 0.2253 data_time: 0.0139 memory: 11037 grad_norm: 10.6247 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3174 loss: 1.3174 2022/08/08 17:36:47 - mmengine - INFO - Epoch(train) [34][120/1320] lr: 2.0000e-04 eta: 1:24:40 time: 0.2265 data_time: 0.0151 memory: 11037 grad_norm: 10.6736 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3547 loss: 1.3547 2022/08/08 17:36:52 - mmengine - INFO - Epoch(train) [34][140/1320] lr: 2.0000e-04 eta: 1:24:35 time: 0.2242 data_time: 0.0138 memory: 11037 grad_norm: 10.7971 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0848 loss: 1.0848 2022/08/08 17:36:56 - mmengine - INFO - Epoch(train) [34][160/1320] lr: 2.0000e-04 eta: 1:24:31 time: 0.2242 data_time: 0.0138 memory: 11037 grad_norm: 10.6071 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2360 loss: 1.2360 2022/08/08 17:37:01 - mmengine - INFO - Epoch(train) [34][180/1320] lr: 2.0000e-04 eta: 1:24:26 time: 0.2264 data_time: 0.0152 memory: 11037 grad_norm: 11.1657 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3111 loss: 1.3111 2022/08/08 17:37:05 - mmengine - INFO - Epoch(train) [34][200/1320] lr: 2.0000e-04 eta: 1:24:22 time: 0.2248 data_time: 0.0145 memory: 11037 grad_norm: 10.7172 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1517 loss: 1.1517 2022/08/08 17:37:10 - mmengine - INFO - Epoch(train) [34][220/1320] lr: 2.0000e-04 eta: 1:24:17 time: 0.2281 data_time: 0.0149 memory: 11037 grad_norm: 10.4614 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1323 loss: 1.1323 2022/08/08 17:37:15 - mmengine - INFO - Epoch(train) [34][240/1320] lr: 2.0000e-04 eta: 1:24:13 time: 0.2266 data_time: 0.0145 memory: 11037 grad_norm: 10.6399 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2628 loss: 1.2628 2022/08/08 17:37:19 - mmengine - INFO - Epoch(train) [34][260/1320] lr: 2.0000e-04 eta: 1:24:08 time: 0.2262 data_time: 0.0134 memory: 11037 grad_norm: 10.6734 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2722 loss: 1.2722 2022/08/08 17:37:24 - mmengine - INFO - Epoch(train) [34][280/1320] lr: 2.0000e-04 eta: 1:24:03 time: 0.2246 data_time: 0.0139 memory: 11037 grad_norm: 10.9345 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2713 loss: 1.2713 2022/08/08 17:37:28 - mmengine - INFO - Epoch(train) [34][300/1320] lr: 2.0000e-04 eta: 1:23:59 time: 0.2327 data_time: 0.0174 memory: 11037 grad_norm: 10.4315 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1936 loss: 1.1936 2022/08/08 17:37:33 - mmengine - INFO - Epoch(train) [34][320/1320] lr: 2.0000e-04 eta: 1:23:54 time: 0.2239 data_time: 0.0138 memory: 11037 grad_norm: 10.7386 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3943 loss: 1.3943 2022/08/08 17:37:37 - mmengine - INFO - Epoch(train) [34][340/1320] lr: 2.0000e-04 eta: 1:23:50 time: 0.2251 data_time: 0.0134 memory: 11037 grad_norm: 10.8436 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2034 loss: 1.2034 2022/08/08 17:37:42 - mmengine - INFO - Epoch(train) [34][360/1320] lr: 2.0000e-04 eta: 1:23:45 time: 0.2255 data_time: 0.0147 memory: 11037 grad_norm: 10.7591 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2128 loss: 1.2128 2022/08/08 17:37:46 - mmengine - INFO - Epoch(train) [34][380/1320] lr: 2.0000e-04 eta: 1:23:41 time: 0.2234 data_time: 0.0115 memory: 11037 grad_norm: 10.5837 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1164 loss: 1.1164 2022/08/08 17:37:51 - mmengine - INFO - Epoch(train) [34][400/1320] lr: 2.0000e-04 eta: 1:23:36 time: 0.2294 data_time: 0.0147 memory: 11037 grad_norm: 10.6288 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3808 loss: 1.3808 2022/08/08 17:37:55 - mmengine - INFO - Epoch(train) [34][420/1320] lr: 2.0000e-04 eta: 1:23:32 time: 0.2249 data_time: 0.0146 memory: 11037 grad_norm: 10.7173 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1637 loss: 1.1637 2022/08/08 17:38:00 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:38:00 - mmengine - INFO - Epoch(train) [34][440/1320] lr: 2.0000e-04 eta: 1:23:27 time: 0.2245 data_time: 0.0134 memory: 11037 grad_norm: 10.9710 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3456 loss: 1.3456 2022/08/08 17:38:04 - mmengine - INFO - Epoch(train) [34][460/1320] lr: 2.0000e-04 eta: 1:23:22 time: 0.2241 data_time: 0.0130 memory: 11037 grad_norm: 10.6715 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2479 loss: 1.2479 2022/08/08 17:38:09 - mmengine - INFO - Epoch(train) [34][480/1320] lr: 2.0000e-04 eta: 1:23:18 time: 0.2399 data_time: 0.0157 memory: 11037 grad_norm: 10.4710 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2201 loss: 1.2201 2022/08/08 17:38:14 - mmengine - INFO - Epoch(train) [34][500/1320] lr: 2.0000e-04 eta: 1:23:13 time: 0.2244 data_time: 0.0122 memory: 11037 grad_norm: 10.7188 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3481 loss: 1.3481 2022/08/08 17:38:18 - mmengine - INFO - Epoch(train) [34][520/1320] lr: 2.0000e-04 eta: 1:23:09 time: 0.2255 data_time: 0.0146 memory: 11037 grad_norm: 10.5210 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3746 loss: 1.3746 2022/08/08 17:38:23 - mmengine - INFO - Epoch(train) [34][540/1320] lr: 2.0000e-04 eta: 1:23:04 time: 0.2254 data_time: 0.0137 memory: 11037 grad_norm: 10.7808 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2087 loss: 1.2087 2022/08/08 17:38:27 - mmengine - INFO - Epoch(train) [34][560/1320] lr: 2.0000e-04 eta: 1:23:00 time: 0.2250 data_time: 0.0134 memory: 11037 grad_norm: 10.5649 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2824 loss: 1.2824 2022/08/08 17:38:32 - mmengine - INFO - Epoch(train) [34][580/1320] lr: 2.0000e-04 eta: 1:22:55 time: 0.2243 data_time: 0.0132 memory: 11037 grad_norm: 11.0604 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5339 loss: 1.5339 2022/08/08 17:38:36 - mmengine - INFO - Epoch(train) [34][600/1320] lr: 2.0000e-04 eta: 1:22:50 time: 0.2252 data_time: 0.0148 memory: 11037 grad_norm: 10.3182 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3510 loss: 1.3510 2022/08/08 17:38:41 - mmengine - INFO - Epoch(train) [34][620/1320] lr: 2.0000e-04 eta: 1:22:46 time: 0.2278 data_time: 0.0139 memory: 11037 grad_norm: 10.6618 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2708 loss: 1.2708 2022/08/08 17:38:45 - mmengine - INFO - Epoch(train) [34][640/1320] lr: 2.0000e-04 eta: 1:22:41 time: 0.2244 data_time: 0.0133 memory: 11037 grad_norm: 10.8474 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2155 loss: 1.2155 2022/08/08 17:38:50 - mmengine - INFO - Epoch(train) [34][660/1320] lr: 2.0000e-04 eta: 1:22:37 time: 0.2261 data_time: 0.0136 memory: 11037 grad_norm: 10.7881 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2532 loss: 1.2532 2022/08/08 17:38:54 - mmengine - INFO - Epoch(train) [34][680/1320] lr: 2.0000e-04 eta: 1:22:32 time: 0.2251 data_time: 0.0134 memory: 11037 grad_norm: 10.6377 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3227 loss: 1.3227 2022/08/08 17:38:59 - mmengine - INFO - Epoch(train) [34][700/1320] lr: 2.0000e-04 eta: 1:22:28 time: 0.2366 data_time: 0.0132 memory: 11037 grad_norm: 10.7453 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4292 loss: 1.4292 2022/08/08 17:39:03 - mmengine - INFO - Epoch(train) [34][720/1320] lr: 2.0000e-04 eta: 1:22:23 time: 0.2258 data_time: 0.0147 memory: 11037 grad_norm: 10.6835 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3184 loss: 1.3184 2022/08/08 17:39:08 - mmengine - INFO - Epoch(train) [34][740/1320] lr: 2.0000e-04 eta: 1:22:19 time: 0.2257 data_time: 0.0137 memory: 11037 grad_norm: 10.6071 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1607 loss: 1.1607 2022/08/08 17:39:12 - mmengine - INFO - Epoch(train) [34][760/1320] lr: 2.0000e-04 eta: 1:22:14 time: 0.2247 data_time: 0.0137 memory: 11037 grad_norm: 10.7295 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3694 loss: 1.3694 2022/08/08 17:39:17 - mmengine - INFO - Epoch(train) [34][780/1320] lr: 2.0000e-04 eta: 1:22:09 time: 0.2238 data_time: 0.0139 memory: 11037 grad_norm: 10.8535 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.2776 loss: 1.2776 2022/08/08 17:39:21 - mmengine - INFO - Epoch(train) [34][800/1320] lr: 2.0000e-04 eta: 1:22:05 time: 0.2246 data_time: 0.0133 memory: 11037 grad_norm: 10.6898 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2742 loss: 1.2742 2022/08/08 17:39:26 - mmengine - INFO - Epoch(train) [34][820/1320] lr: 2.0000e-04 eta: 1:22:00 time: 0.2244 data_time: 0.0135 memory: 11037 grad_norm: 10.6579 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1610 loss: 1.1610 2022/08/08 17:39:30 - mmengine - INFO - Epoch(train) [34][840/1320] lr: 2.0000e-04 eta: 1:21:56 time: 0.2268 data_time: 0.0143 memory: 11037 grad_norm: 10.8356 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2533 loss: 1.2533 2022/08/08 17:39:35 - mmengine - INFO - Epoch(train) [34][860/1320] lr: 2.0000e-04 eta: 1:21:51 time: 0.2255 data_time: 0.0128 memory: 11037 grad_norm: 10.9207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3781 loss: 1.3781 2022/08/08 17:39:40 - mmengine - INFO - Epoch(train) [34][880/1320] lr: 2.0000e-04 eta: 1:21:47 time: 0.2282 data_time: 0.0149 memory: 11037 grad_norm: 10.8130 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2449 loss: 1.2449 2022/08/08 17:39:44 - mmengine - INFO - Epoch(train) [34][900/1320] lr: 2.0000e-04 eta: 1:21:42 time: 0.2254 data_time: 0.0136 memory: 11037 grad_norm: 10.8983 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2467 loss: 1.2467 2022/08/08 17:39:49 - mmengine - INFO - Epoch(train) [34][920/1320] lr: 2.0000e-04 eta: 1:21:37 time: 0.2272 data_time: 0.0139 memory: 11037 grad_norm: 10.5111 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1406 loss: 1.1406 2022/08/08 17:39:53 - mmengine - INFO - Epoch(train) [34][940/1320] lr: 2.0000e-04 eta: 1:21:33 time: 0.2245 data_time: 0.0142 memory: 11037 grad_norm: 10.7402 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0987 loss: 1.0987 2022/08/08 17:39:58 - mmengine - INFO - Epoch(train) [34][960/1320] lr: 2.0000e-04 eta: 1:21:28 time: 0.2269 data_time: 0.0161 memory: 11037 grad_norm: 10.4752 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3923 loss: 1.3923 2022/08/08 17:40:02 - mmengine - INFO - Epoch(train) [34][980/1320] lr: 2.0000e-04 eta: 1:21:24 time: 0.2254 data_time: 0.0124 memory: 11037 grad_norm: 11.1637 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2876 loss: 1.2876 2022/08/08 17:40:07 - mmengine - INFO - Epoch(train) [34][1000/1320] lr: 2.0000e-04 eta: 1:21:19 time: 0.2241 data_time: 0.0137 memory: 11037 grad_norm: 10.6859 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3443 loss: 1.3443 2022/08/08 17:40:11 - mmengine - INFO - Epoch(train) [34][1020/1320] lr: 2.0000e-04 eta: 1:21:15 time: 0.2255 data_time: 0.0157 memory: 11037 grad_norm: 10.8473 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.3722 loss: 1.3722 2022/08/08 17:40:16 - mmengine - INFO - Epoch(train) [34][1040/1320] lr: 2.0000e-04 eta: 1:21:10 time: 0.2244 data_time: 0.0155 memory: 11037 grad_norm: 10.5947 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1764 loss: 1.1764 2022/08/08 17:40:20 - mmengine - INFO - Epoch(train) [34][1060/1320] lr: 2.0000e-04 eta: 1:21:05 time: 0.2291 data_time: 0.0148 memory: 11037 grad_norm: 10.6595 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4942 loss: 1.4942 2022/08/08 17:40:25 - mmengine - INFO - Epoch(train) [34][1080/1320] lr: 2.0000e-04 eta: 1:21:01 time: 0.2263 data_time: 0.0148 memory: 11037 grad_norm: 10.8026 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2931 loss: 1.2931 2022/08/08 17:40:29 - mmengine - INFO - Epoch(train) [34][1100/1320] lr: 2.0000e-04 eta: 1:20:56 time: 0.2242 data_time: 0.0134 memory: 11037 grad_norm: 10.6143 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3401 loss: 1.3401 2022/08/08 17:40:34 - mmengine - INFO - Epoch(train) [34][1120/1320] lr: 2.0000e-04 eta: 1:20:52 time: 0.2272 data_time: 0.0156 memory: 11037 grad_norm: 10.7434 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2634 loss: 1.2634 2022/08/08 17:40:38 - mmengine - INFO - Epoch(train) [34][1140/1320] lr: 2.0000e-04 eta: 1:20:47 time: 0.2283 data_time: 0.0142 memory: 11037 grad_norm: 10.3695 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1559 loss: 1.1559 2022/08/08 17:40:43 - mmengine - INFO - Epoch(train) [34][1160/1320] lr: 2.0000e-04 eta: 1:20:43 time: 0.2245 data_time: 0.0135 memory: 11037 grad_norm: 10.8785 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2444 loss: 1.2444 2022/08/08 17:40:47 - mmengine - INFO - Epoch(train) [34][1180/1320] lr: 2.0000e-04 eta: 1:20:38 time: 0.2257 data_time: 0.0146 memory: 11037 grad_norm: 10.8342 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2753 loss: 1.2753 2022/08/08 17:40:52 - mmengine - INFO - Epoch(train) [34][1200/1320] lr: 2.0000e-04 eta: 1:20:33 time: 0.2257 data_time: 0.0145 memory: 11037 grad_norm: 10.7816 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4721 loss: 1.4721 2022/08/08 17:40:56 - mmengine - INFO - Epoch(train) [34][1220/1320] lr: 2.0000e-04 eta: 1:20:29 time: 0.2230 data_time: 0.0130 memory: 11037 grad_norm: 10.6988 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2475 loss: 1.2475 2022/08/08 17:41:01 - mmengine - INFO - Epoch(train) [34][1240/1320] lr: 2.0000e-04 eta: 1:20:24 time: 0.2275 data_time: 0.0132 memory: 11037 grad_norm: 10.6405 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2686 loss: 1.2686 2022/08/08 17:41:05 - mmengine - INFO - Epoch(train) [34][1260/1320] lr: 2.0000e-04 eta: 1:20:20 time: 0.2250 data_time: 0.0134 memory: 11037 grad_norm: 10.5589 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2856 loss: 1.2856 2022/08/08 17:41:10 - mmengine - INFO - Epoch(train) [34][1280/1320] lr: 2.0000e-04 eta: 1:20:15 time: 0.2265 data_time: 0.0140 memory: 11037 grad_norm: 10.4423 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2386 loss: 1.2386 2022/08/08 17:41:14 - mmengine - INFO - Epoch(train) [34][1300/1320] lr: 2.0000e-04 eta: 1:20:11 time: 0.2247 data_time: 0.0133 memory: 11037 grad_norm: 10.7186 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2873 loss: 1.2873 2022/08/08 17:41:19 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:41:19 - mmengine - INFO - Epoch(train) [34][1320/1320] lr: 2.0000e-04 eta: 1:20:06 time: 0.2185 data_time: 0.0142 memory: 11037 grad_norm: 10.5327 top1_acc: 0.5455 top5_acc: 0.8182 loss_cls: 1.1250 loss: 1.1250 2022/08/08 17:41:19 - mmengine - INFO - Saving checkpoint at 34 epochs 2022/08/08 17:41:24 - mmengine - INFO - Epoch(val) [34][20/194] eta: 0:00:28 time: 0.1654 data_time: 0.0873 memory: 1858 2022/08/08 17:41:27 - mmengine - INFO - Epoch(val) [34][40/194] eta: 0:00:17 time: 0.1128 data_time: 0.0371 memory: 1858 2022/08/08 17:41:29 - mmengine - INFO - Epoch(val) [34][60/194] eta: 0:00:14 time: 0.1093 data_time: 0.0357 memory: 1858 2022/08/08 17:41:31 - mmengine - INFO - Epoch(val) [34][80/194] eta: 0:00:12 time: 0.1060 data_time: 0.0311 memory: 1858 2022/08/08 17:41:33 - mmengine - INFO - Epoch(val) [34][100/194] eta: 0:00:11 time: 0.1205 data_time: 0.0465 memory: 1858 2022/08/08 17:41:36 - mmengine - INFO - Epoch(val) [34][120/194] eta: 0:00:08 time: 0.1094 data_time: 0.0304 memory: 1858 2022/08/08 17:41:38 - mmengine - INFO - Epoch(val) [34][140/194] eta: 0:00:07 time: 0.1413 data_time: 0.0638 memory: 1858 2022/08/08 17:41:40 - mmengine - INFO - Epoch(val) [34][160/194] eta: 0:00:03 time: 0.0889 data_time: 0.0160 memory: 1858 2022/08/08 17:41:42 - mmengine - INFO - Epoch(val) [34][180/194] eta: 0:00:01 time: 0.1015 data_time: 0.0356 memory: 1858 2022/08/08 17:41:44 - mmengine - INFO - Epoch(val) [34][194/194] acc/top1: 0.4842 acc/top5: 0.7643 acc/mean1: 0.4127 2022/08/08 17:41:44 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_34.pth is removed 2022/08/08 17:41:45 - mmengine - INFO - The best checkpoint with 0.4842 acc/top1 at 35 epoch is saved to best_acc/top1_epoch_35.pth. 2022/08/08 17:41:45 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 17:41:50 - mmengine - INFO - Epoch(train) [35][20/1320] lr: 2.0000e-04 eta: 1:20:02 time: 0.2476 data_time: 0.0392 memory: 11037 grad_norm: 10.6020 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1071 loss: 1.1071 2022/08/08 17:41:55 - mmengine - INFO - Epoch(train) [35][40/1320] lr: 2.0000e-04 eta: 1:19:57 time: 0.2248 data_time: 0.0137 memory: 11037 grad_norm: 10.7452 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.0771 loss: 1.0771 2022/08/08 17:42:00 - mmengine - INFO - Epoch(train) [35][60/1320] lr: 2.0000e-04 eta: 1:19:53 time: 0.2329 data_time: 0.0161 memory: 11037 grad_norm: 10.6643 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2840 loss: 1.2840 2022/08/08 17:42:04 - mmengine - INFO - Epoch(train) [35][80/1320] lr: 2.0000e-04 eta: 1:19:48 time: 0.2240 data_time: 0.0124 memory: 11037 grad_norm: 10.5354 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1890 loss: 1.1890 2022/08/08 17:42:09 - mmengine - INFO - Epoch(train) [35][100/1320] lr: 2.0000e-04 eta: 1:19:43 time: 0.2261 data_time: 0.0142 memory: 11037 grad_norm: 10.7932 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2218 loss: 1.2218 2022/08/08 17:42:13 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:42:13 - mmengine - INFO - Epoch(train) [35][120/1320] lr: 2.0000e-04 eta: 1:19:39 time: 0.2267 data_time: 0.0154 memory: 11037 grad_norm: 10.8624 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3281 loss: 1.3281 2022/08/08 17:42:18 - mmengine - INFO - Epoch(train) [35][140/1320] lr: 2.0000e-04 eta: 1:19:34 time: 0.2257 data_time: 0.0130 memory: 11037 grad_norm: 10.5264 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3480 loss: 1.3480 2022/08/08 17:42:22 - mmengine - INFO - Epoch(train) [35][160/1320] lr: 2.0000e-04 eta: 1:19:30 time: 0.2256 data_time: 0.0130 memory: 11037 grad_norm: 10.7506 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0528 loss: 1.0528 2022/08/08 17:42:27 - mmengine - INFO - Epoch(train) [35][180/1320] lr: 2.0000e-04 eta: 1:19:25 time: 0.2247 data_time: 0.0142 memory: 11037 grad_norm: 10.7332 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2258 loss: 1.2258 2022/08/08 17:42:31 - mmengine - INFO - Epoch(train) [35][200/1320] lr: 2.0000e-04 eta: 1:19:21 time: 0.2244 data_time: 0.0134 memory: 11037 grad_norm: 10.8486 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1383 loss: 1.1383 2022/08/08 17:42:36 - mmengine - INFO - Epoch(train) [35][220/1320] lr: 2.0000e-04 eta: 1:19:16 time: 0.2255 data_time: 0.0140 memory: 11037 grad_norm: 10.6416 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4500 loss: 1.4500 2022/08/08 17:42:40 - mmengine - INFO - Epoch(train) [35][240/1320] lr: 2.0000e-04 eta: 1:19:11 time: 0.2298 data_time: 0.0148 memory: 11037 grad_norm: 11.1070 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3299 loss: 1.3299 2022/08/08 17:42:45 - mmengine - INFO - Epoch(train) [35][260/1320] lr: 2.0000e-04 eta: 1:19:07 time: 0.2252 data_time: 0.0138 memory: 11037 grad_norm: 10.7465 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4178 loss: 1.4178 2022/08/08 17:42:49 - mmengine - INFO - Epoch(train) [35][280/1320] lr: 2.0000e-04 eta: 1:19:02 time: 0.2252 data_time: 0.0134 memory: 11037 grad_norm: 10.8666 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1712 loss: 1.1712 2022/08/08 17:42:54 - mmengine - INFO - Epoch(train) [35][300/1320] lr: 2.0000e-04 eta: 1:18:58 time: 0.2242 data_time: 0.0145 memory: 11037 grad_norm: 10.8994 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2936 loss: 1.2936 2022/08/08 17:42:58 - mmengine - INFO - Epoch(train) [35][320/1320] lr: 2.0000e-04 eta: 1:18:53 time: 0.2312 data_time: 0.0143 memory: 11037 grad_norm: 10.8869 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1878 loss: 1.1878 2022/08/08 17:43:03 - mmengine - INFO - Epoch(train) [35][340/1320] lr: 2.0000e-04 eta: 1:18:49 time: 0.2257 data_time: 0.0135 memory: 11037 grad_norm: 10.5465 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1612 loss: 1.1612 2022/08/08 17:43:08 - mmengine - INFO - Epoch(train) [35][360/1320] lr: 2.0000e-04 eta: 1:18:44 time: 0.2300 data_time: 0.0151 memory: 11037 grad_norm: 11.0216 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3875 loss: 1.3875 2022/08/08 17:43:12 - mmengine - INFO - Epoch(train) [35][380/1320] lr: 2.0000e-04 eta: 1:18:39 time: 0.2249 data_time: 0.0132 memory: 11037 grad_norm: 11.0773 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1860 loss: 1.1860 2022/08/08 17:43:17 - mmengine - INFO - Epoch(train) [35][400/1320] lr: 2.0000e-04 eta: 1:18:35 time: 0.2250 data_time: 0.0151 memory: 11037 grad_norm: 10.7170 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3662 loss: 1.3662 2022/08/08 17:43:21 - mmengine - INFO - Epoch(train) [35][420/1320] lr: 2.0000e-04 eta: 1:18:30 time: 0.2293 data_time: 0.0179 memory: 11037 grad_norm: 10.9439 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1530 loss: 1.1530 2022/08/08 17:43:26 - mmengine - INFO - Epoch(train) [35][440/1320] lr: 2.0000e-04 eta: 1:18:26 time: 0.2227 data_time: 0.0131 memory: 11037 grad_norm: 10.8752 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4420 loss: 1.4420 2022/08/08 17:43:30 - mmengine - INFO - Epoch(train) [35][460/1320] lr: 2.0000e-04 eta: 1:18:21 time: 0.2287 data_time: 0.0134 memory: 11037 grad_norm: 10.6850 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1162 loss: 1.1162 2022/08/08 17:43:35 - mmengine - INFO - Epoch(train) [35][480/1320] lr: 2.0000e-04 eta: 1:18:17 time: 0.2258 data_time: 0.0140 memory: 11037 grad_norm: 11.3054 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3272 loss: 1.3272 2022/08/08 17:43:39 - mmengine - INFO - Epoch(train) [35][500/1320] lr: 2.0000e-04 eta: 1:18:12 time: 0.2289 data_time: 0.0144 memory: 11037 grad_norm: 10.4731 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2214 loss: 1.2214 2022/08/08 17:43:44 - mmengine - INFO - Epoch(train) [35][520/1320] lr: 2.0000e-04 eta: 1:18:08 time: 0.2240 data_time: 0.0136 memory: 11037 grad_norm: 10.7803 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2663 loss: 1.2663 2022/08/08 17:43:48 - mmengine - INFO - Epoch(train) [35][540/1320] lr: 2.0000e-04 eta: 1:18:03 time: 0.2271 data_time: 0.0137 memory: 11037 grad_norm: 11.3568 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4307 loss: 1.4307 2022/08/08 17:43:53 - mmengine - INFO - Epoch(train) [35][560/1320] lr: 2.0000e-04 eta: 1:17:58 time: 0.2248 data_time: 0.0139 memory: 11037 grad_norm: 11.0358 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4587 loss: 1.4587 2022/08/08 17:43:57 - mmengine - INFO - Epoch(train) [35][580/1320] lr: 2.0000e-04 eta: 1:17:54 time: 0.2233 data_time: 0.0129 memory: 11037 grad_norm: 10.8267 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3117 loss: 1.3117 2022/08/08 17:44:02 - mmengine - INFO - Epoch(train) [35][600/1320] lr: 2.0000e-04 eta: 1:17:49 time: 0.2388 data_time: 0.0151 memory: 11037 grad_norm: 10.8934 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1476 loss: 1.1476 2022/08/08 17:44:07 - mmengine - INFO - Epoch(train) [35][620/1320] lr: 2.0000e-04 eta: 1:17:45 time: 0.2246 data_time: 0.0134 memory: 11037 grad_norm: 10.6231 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2917 loss: 1.2917 2022/08/08 17:44:11 - mmengine - INFO - Epoch(train) [35][640/1320] lr: 2.0000e-04 eta: 1:17:40 time: 0.2239 data_time: 0.0129 memory: 11037 grad_norm: 10.9485 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2090 loss: 1.2090 2022/08/08 17:44:15 - mmengine - INFO - Epoch(train) [35][660/1320] lr: 2.0000e-04 eta: 1:17:36 time: 0.2245 data_time: 0.0134 memory: 11037 grad_norm: 10.9330 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2167 loss: 1.2167 2022/08/08 17:44:20 - mmengine - INFO - Epoch(train) [35][680/1320] lr: 2.0000e-04 eta: 1:17:31 time: 0.2276 data_time: 0.0138 memory: 11037 grad_norm: 10.4808 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2281 loss: 1.2281 2022/08/08 17:44:25 - mmengine - INFO - Epoch(train) [35][700/1320] lr: 2.0000e-04 eta: 1:17:27 time: 0.2242 data_time: 0.0132 memory: 11037 grad_norm: 10.9619 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1730 loss: 1.1730 2022/08/08 17:44:29 - mmengine - INFO - Epoch(train) [35][720/1320] lr: 2.0000e-04 eta: 1:17:22 time: 0.2265 data_time: 0.0139 memory: 11037 grad_norm: 10.9046 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1399 loss: 1.1399 2022/08/08 17:44:34 - mmengine - INFO - Epoch(train) [35][740/1320] lr: 2.0000e-04 eta: 1:17:17 time: 0.2250 data_time: 0.0129 memory: 11037 grad_norm: 10.5077 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3845 loss: 1.3845 2022/08/08 17:44:38 - mmengine - INFO - Epoch(train) [35][760/1320] lr: 2.0000e-04 eta: 1:17:13 time: 0.2262 data_time: 0.0143 memory: 11037 grad_norm: 11.1150 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.1739 loss: 1.1739 2022/08/08 17:44:43 - mmengine - INFO - Epoch(train) [35][780/1320] lr: 2.0000e-04 eta: 1:17:08 time: 0.2251 data_time: 0.0149 memory: 11037 grad_norm: 11.1580 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1955 loss: 1.1955 2022/08/08 17:44:47 - mmengine - INFO - Epoch(train) [35][800/1320] lr: 2.0000e-04 eta: 1:17:04 time: 0.2239 data_time: 0.0135 memory: 11037 grad_norm: 10.7123 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4061 loss: 1.4061 2022/08/08 17:44:52 - mmengine - INFO - Epoch(train) [35][820/1320] lr: 2.0000e-04 eta: 1:16:59 time: 0.2251 data_time: 0.0134 memory: 11037 grad_norm: 10.8050 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4300 loss: 1.4300 2022/08/08 17:44:56 - mmengine - INFO - Epoch(train) [35][840/1320] lr: 2.0000e-04 eta: 1:16:55 time: 0.2251 data_time: 0.0142 memory: 11037 grad_norm: 11.2476 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3049 loss: 1.3049 2022/08/08 17:45:01 - mmengine - INFO - Epoch(train) [35][860/1320] lr: 2.0000e-04 eta: 1:16:50 time: 0.2271 data_time: 0.0141 memory: 11037 grad_norm: 10.9179 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1812 loss: 1.1812 2022/08/08 17:45:05 - mmengine - INFO - Epoch(train) [35][880/1320] lr: 2.0000e-04 eta: 1:16:45 time: 0.2248 data_time: 0.0133 memory: 11037 grad_norm: 10.5684 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1464 loss: 1.1464 2022/08/08 17:45:10 - mmengine - INFO - Epoch(train) [35][900/1320] lr: 2.0000e-04 eta: 1:16:41 time: 0.2243 data_time: 0.0135 memory: 11037 grad_norm: 11.2708 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2457 loss: 1.2457 2022/08/08 17:45:14 - mmengine - INFO - Epoch(train) [35][920/1320] lr: 2.0000e-04 eta: 1:16:36 time: 0.2240 data_time: 0.0133 memory: 11037 grad_norm: 11.0747 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2462 loss: 1.2462 2022/08/08 17:45:19 - mmengine - INFO - Epoch(train) [35][940/1320] lr: 2.0000e-04 eta: 1:16:32 time: 0.2273 data_time: 0.0132 memory: 11037 grad_norm: 11.0300 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2127 loss: 1.2127 2022/08/08 17:45:23 - mmengine - INFO - Epoch(train) [35][960/1320] lr: 2.0000e-04 eta: 1:16:27 time: 0.2251 data_time: 0.0146 memory: 11037 grad_norm: 10.5948 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2178 loss: 1.2178 2022/08/08 17:45:28 - mmengine - INFO - Epoch(train) [35][980/1320] lr: 2.0000e-04 eta: 1:16:22 time: 0.2234 data_time: 0.0130 memory: 11037 grad_norm: 11.0824 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1077 loss: 1.1077 2022/08/08 17:45:32 - mmengine - INFO - Epoch(train) [35][1000/1320] lr: 2.0000e-04 eta: 1:16:18 time: 0.2244 data_time: 0.0132 memory: 11037 grad_norm: 11.0774 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.2853 loss: 1.2853 2022/08/08 17:45:37 - mmengine - INFO - Epoch(train) [35][1020/1320] lr: 2.0000e-04 eta: 1:16:13 time: 0.2253 data_time: 0.0130 memory: 11037 grad_norm: 10.8870 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1807 loss: 1.1807 2022/08/08 17:45:41 - mmengine - INFO - Epoch(train) [35][1040/1320] lr: 2.0000e-04 eta: 1:16:09 time: 0.2287 data_time: 0.0140 memory: 11037 grad_norm: 10.8727 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.2058 loss: 1.2058 2022/08/08 17:45:46 - mmengine - INFO - Epoch(train) [35][1060/1320] lr: 2.0000e-04 eta: 1:16:04 time: 0.2250 data_time: 0.0139 memory: 11037 grad_norm: 10.8493 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4134 loss: 1.4134 2022/08/08 17:45:50 - mmengine - INFO - Epoch(train) [35][1080/1320] lr: 2.0000e-04 eta: 1:16:00 time: 0.2259 data_time: 0.0143 memory: 11037 grad_norm: 11.0897 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2941 loss: 1.2941 2022/08/08 17:45:55 - mmengine - INFO - Epoch(train) [35][1100/1320] lr: 2.0000e-04 eta: 1:15:55 time: 0.2257 data_time: 0.0159 memory: 11037 grad_norm: 10.8644 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3338 loss: 1.3338 2022/08/08 17:45:59 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:45:59 - mmengine - INFO - Epoch(train) [35][1120/1320] lr: 2.0000e-04 eta: 1:15:51 time: 0.2273 data_time: 0.0136 memory: 11037 grad_norm: 10.5897 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1559 loss: 1.1559 2022/08/08 17:46:04 - mmengine - INFO - Epoch(train) [35][1140/1320] lr: 2.0000e-04 eta: 1:15:46 time: 0.2264 data_time: 0.0142 memory: 11037 grad_norm: 10.7412 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0688 loss: 1.0688 2022/08/08 17:46:08 - mmengine - INFO - Epoch(train) [35][1160/1320] lr: 2.0000e-04 eta: 1:15:41 time: 0.2254 data_time: 0.0129 memory: 11037 grad_norm: 11.1987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2079 loss: 1.2079 2022/08/08 17:46:13 - mmengine - INFO - Epoch(train) [35][1180/1320] lr: 2.0000e-04 eta: 1:15:37 time: 0.2232 data_time: 0.0132 memory: 11037 grad_norm: 10.6843 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2770 loss: 1.2770 2022/08/08 17:46:17 - mmengine - INFO - Epoch(train) [35][1200/1320] lr: 2.0000e-04 eta: 1:15:32 time: 0.2235 data_time: 0.0143 memory: 11037 grad_norm: 10.6084 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2886 loss: 1.2886 2022/08/08 17:46:22 - mmengine - INFO - Epoch(train) [35][1220/1320] lr: 2.0000e-04 eta: 1:15:28 time: 0.2330 data_time: 0.0160 memory: 11037 grad_norm: 11.1651 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3776 loss: 1.3776 2022/08/08 17:46:26 - mmengine - INFO - Epoch(train) [35][1240/1320] lr: 2.0000e-04 eta: 1:15:23 time: 0.2252 data_time: 0.0130 memory: 11037 grad_norm: 11.0889 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2868 loss: 1.2868 2022/08/08 17:46:31 - mmengine - INFO - Epoch(train) [35][1260/1320] lr: 2.0000e-04 eta: 1:15:19 time: 0.2236 data_time: 0.0165 memory: 11037 grad_norm: 10.7469 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0983 loss: 1.0983 2022/08/08 17:46:35 - mmengine - INFO - Epoch(train) [35][1280/1320] lr: 2.0000e-04 eta: 1:15:14 time: 0.2243 data_time: 0.0143 memory: 11037 grad_norm: 10.8875 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3363 loss: 1.3363 2022/08/08 17:46:40 - mmengine - INFO - Epoch(train) [35][1300/1320] lr: 2.0000e-04 eta: 1:15:10 time: 0.2354 data_time: 0.0157 memory: 11037 grad_norm: 10.9334 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2904 loss: 1.2904 2022/08/08 17:46:44 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:46:44 - mmengine - INFO - Epoch(train) [35][1320/1320] lr: 2.0000e-04 eta: 1:15:05 time: 0.2147 data_time: 0.0132 memory: 11037 grad_norm: 11.0309 top1_acc: 0.4545 top5_acc: 0.5455 loss_cls: 1.2141 loss: 1.2141 2022/08/08 17:46:44 - mmengine - INFO - Saving checkpoint at 35 epochs 2022/08/08 17:46:50 - mmengine - INFO - Epoch(val) [35][20/194] eta: 0:00:29 time: 0.1714 data_time: 0.0944 memory: 1858 2022/08/08 17:46:53 - mmengine - INFO - Epoch(val) [35][40/194] eta: 0:00:17 time: 0.1115 data_time: 0.0333 memory: 1858 2022/08/08 17:46:55 - mmengine - INFO - Epoch(val) [35][60/194] eta: 0:00:15 time: 0.1145 data_time: 0.0372 memory: 1858 2022/08/08 17:46:57 - mmengine - INFO - Epoch(val) [35][80/194] eta: 0:00:11 time: 0.1002 data_time: 0.0273 memory: 1858 2022/08/08 17:47:00 - mmengine - INFO - Epoch(val) [35][100/194] eta: 0:00:12 time: 0.1290 data_time: 0.0496 memory: 1858 2022/08/08 17:47:02 - mmengine - INFO - Epoch(val) [35][120/194] eta: 0:00:08 time: 0.1130 data_time: 0.0324 memory: 1858 2022/08/08 17:47:04 - mmengine - INFO - Epoch(val) [35][140/194] eta: 0:00:06 time: 0.1221 data_time: 0.0446 memory: 1858 2022/08/08 17:47:06 - mmengine - INFO - Epoch(val) [35][160/194] eta: 0:00:03 time: 0.0946 data_time: 0.0206 memory: 1858 2022/08/08 17:47:08 - mmengine - INFO - Epoch(val) [35][180/194] eta: 0:00:01 time: 0.0742 data_time: 0.0170 memory: 1858 2022/08/08 17:47:09 - mmengine - INFO - Epoch(val) [35][194/194] acc/top1: 0.4800 acc/top5: 0.7632 acc/mean1: 0.4067 2022/08/08 17:47:09 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 17:47:15 - mmengine - INFO - Epoch(train) [36][20/1320] lr: 2.0000e-04 eta: 1:15:01 time: 0.2647 data_time: 0.0484 memory: 11037 grad_norm: 10.9053 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1366 loss: 1.1366 2022/08/08 17:47:19 - mmengine - INFO - Epoch(train) [36][40/1320] lr: 2.0000e-04 eta: 1:14:56 time: 0.2234 data_time: 0.0132 memory: 11037 grad_norm: 11.0135 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3199 loss: 1.3199 2022/08/08 17:47:24 - mmengine - INFO - Epoch(train) [36][60/1320] lr: 2.0000e-04 eta: 1:14:51 time: 0.2233 data_time: 0.0137 memory: 11037 grad_norm: 11.2305 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1052 loss: 1.1052 2022/08/08 17:47:28 - mmengine - INFO - Epoch(train) [36][80/1320] lr: 2.0000e-04 eta: 1:14:47 time: 0.2279 data_time: 0.0148 memory: 11037 grad_norm: 11.0683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3166 loss: 1.3166 2022/08/08 17:47:33 - mmengine - INFO - Epoch(train) [36][100/1320] lr: 2.0000e-04 eta: 1:14:42 time: 0.2252 data_time: 0.0115 memory: 11037 grad_norm: 11.1639 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.3386 loss: 1.3386 2022/08/08 17:47:37 - mmengine - INFO - Epoch(train) [36][120/1320] lr: 2.0000e-04 eta: 1:14:38 time: 0.2241 data_time: 0.0125 memory: 11037 grad_norm: 10.7434 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2478 loss: 1.2478 2022/08/08 17:47:42 - mmengine - INFO - Epoch(train) [36][140/1320] lr: 2.0000e-04 eta: 1:14:33 time: 0.2288 data_time: 0.0148 memory: 11037 grad_norm: 10.7322 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1160 loss: 1.1160 2022/08/08 17:47:46 - mmengine - INFO - Epoch(train) [36][160/1320] lr: 2.0000e-04 eta: 1:14:29 time: 0.2232 data_time: 0.0128 memory: 11037 grad_norm: 10.8315 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2296 loss: 1.2296 2022/08/08 17:47:56 - mmengine - INFO - Epoch(train) [36][180/1320] lr: 2.0000e-04 eta: 1:14:26 time: 0.4981 data_time: 0.0125 memory: 11037 grad_norm: 10.8544 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2500 loss: 1.2500 2022/08/08 17:48:01 - mmengine - INFO - Epoch(train) [36][200/1320] lr: 2.0000e-04 eta: 1:14:22 time: 0.2270 data_time: 0.0164 memory: 11037 grad_norm: 10.9952 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3717 loss: 1.3717 2022/08/08 17:48:05 - mmengine - INFO - Epoch(train) [36][220/1320] lr: 2.0000e-04 eta: 1:14:17 time: 0.2314 data_time: 0.0138 memory: 11037 grad_norm: 10.7890 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2013 loss: 1.2013 2022/08/08 17:48:10 - mmengine - INFO - Epoch(train) [36][240/1320] lr: 2.0000e-04 eta: 1:14:13 time: 0.2385 data_time: 0.0179 memory: 11037 grad_norm: 11.2174 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2849 loss: 1.2849 2022/08/08 17:48:15 - mmengine - INFO - Epoch(train) [36][260/1320] lr: 2.0000e-04 eta: 1:14:08 time: 0.2244 data_time: 0.0142 memory: 11037 grad_norm: 10.9174 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2787 loss: 1.2787 2022/08/08 17:48:19 - mmengine - INFO - Epoch(train) [36][280/1320] lr: 2.0000e-04 eta: 1:14:04 time: 0.2272 data_time: 0.0140 memory: 11037 grad_norm: 11.0429 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3586 loss: 1.3586 2022/08/08 17:48:24 - mmengine - INFO - Epoch(train) [36][300/1320] lr: 2.0000e-04 eta: 1:13:59 time: 0.2246 data_time: 0.0132 memory: 11037 grad_norm: 10.8675 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2128 loss: 1.2128 2022/08/08 17:48:28 - mmengine - INFO - Epoch(train) [36][320/1320] lr: 2.0000e-04 eta: 1:13:55 time: 0.2259 data_time: 0.0162 memory: 11037 grad_norm: 11.1536 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2762 loss: 1.2762 2022/08/08 17:48:33 - mmengine - INFO - Epoch(train) [36][340/1320] lr: 2.0000e-04 eta: 1:13:50 time: 0.2260 data_time: 0.0131 memory: 11037 grad_norm: 10.9851 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1665 loss: 1.1665 2022/08/08 17:48:37 - mmengine - INFO - Epoch(train) [36][360/1320] lr: 2.0000e-04 eta: 1:13:45 time: 0.2238 data_time: 0.0138 memory: 11037 grad_norm: 11.1038 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2821 loss: 1.2821 2022/08/08 17:48:42 - mmengine - INFO - Epoch(train) [36][380/1320] lr: 2.0000e-04 eta: 1:13:41 time: 0.2270 data_time: 0.0149 memory: 11037 grad_norm: 10.9096 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1818 loss: 1.1818 2022/08/08 17:48:46 - mmengine - INFO - Epoch(train) [36][400/1320] lr: 2.0000e-04 eta: 1:13:36 time: 0.2247 data_time: 0.0141 memory: 11037 grad_norm: 11.0311 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2621 loss: 1.2621 2022/08/08 17:48:51 - mmengine - INFO - Epoch(train) [36][420/1320] lr: 2.0000e-04 eta: 1:13:32 time: 0.2273 data_time: 0.0139 memory: 11037 grad_norm: 11.2321 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3585 loss: 1.3585 2022/08/08 17:48:55 - mmengine - INFO - Epoch(train) [36][440/1320] lr: 2.0000e-04 eta: 1:13:27 time: 0.2258 data_time: 0.0142 memory: 11037 grad_norm: 10.9614 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.1256 loss: 1.1256 2022/08/08 17:49:00 - mmengine - INFO - Epoch(train) [36][460/1320] lr: 2.0000e-04 eta: 1:13:23 time: 0.2254 data_time: 0.0130 memory: 11037 grad_norm: 10.7083 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.2028 loss: 1.2028 2022/08/08 17:49:04 - mmengine - INFO - Epoch(train) [36][480/1320] lr: 2.0000e-04 eta: 1:13:18 time: 0.2261 data_time: 0.0157 memory: 11037 grad_norm: 11.0404 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3182 loss: 1.3182 2022/08/08 17:49:09 - mmengine - INFO - Epoch(train) [36][500/1320] lr: 2.0000e-04 eta: 1:13:13 time: 0.2258 data_time: 0.0162 memory: 11037 grad_norm: 11.1845 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3505 loss: 1.3505 2022/08/08 17:49:13 - mmengine - INFO - Epoch(train) [36][520/1320] lr: 2.0000e-04 eta: 1:13:09 time: 0.2255 data_time: 0.0153 memory: 11037 grad_norm: 10.7407 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1562 loss: 1.1562 2022/08/08 17:49:18 - mmengine - INFO - Epoch(train) [36][540/1320] lr: 2.0000e-04 eta: 1:13:04 time: 0.2247 data_time: 0.0135 memory: 11037 grad_norm: 11.0468 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2080 loss: 1.2080 2022/08/08 17:49:22 - mmengine - INFO - Epoch(train) [36][560/1320] lr: 2.0000e-04 eta: 1:13:00 time: 0.2276 data_time: 0.0157 memory: 11037 grad_norm: 10.8352 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2909 loss: 1.2909 2022/08/08 17:49:27 - mmengine - INFO - Epoch(train) [36][580/1320] lr: 2.0000e-04 eta: 1:12:55 time: 0.2238 data_time: 0.0123 memory: 11037 grad_norm: 11.0403 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1817 loss: 1.1817 2022/08/08 17:49:31 - mmengine - INFO - Epoch(train) [36][600/1320] lr: 2.0000e-04 eta: 1:12:51 time: 0.2275 data_time: 0.0129 memory: 11037 grad_norm: 10.7953 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1228 loss: 1.1228 2022/08/08 17:49:36 - mmengine - INFO - Epoch(train) [36][620/1320] lr: 2.0000e-04 eta: 1:12:46 time: 0.2265 data_time: 0.0145 memory: 11037 grad_norm: 11.0456 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1077 loss: 1.1077 2022/08/08 17:49:40 - mmengine - INFO - Epoch(train) [36][640/1320] lr: 2.0000e-04 eta: 1:12:41 time: 0.2276 data_time: 0.0157 memory: 11037 grad_norm: 11.0115 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0918 loss: 1.0918 2022/08/08 17:49:45 - mmengine - INFO - Epoch(train) [36][660/1320] lr: 2.0000e-04 eta: 1:12:37 time: 0.2243 data_time: 0.0135 memory: 11037 grad_norm: 10.8419 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2700 loss: 1.2700 2022/08/08 17:49:50 - mmengine - INFO - Epoch(train) [36][680/1320] lr: 2.0000e-04 eta: 1:12:32 time: 0.2290 data_time: 0.0155 memory: 11037 grad_norm: 11.0038 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3319 loss: 1.3319 2022/08/08 17:49:54 - mmengine - INFO - Epoch(train) [36][700/1320] lr: 2.0000e-04 eta: 1:12:28 time: 0.2246 data_time: 0.0133 memory: 11037 grad_norm: 11.1607 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3905 loss: 1.3905 2022/08/08 17:49:59 - mmengine - INFO - Epoch(train) [36][720/1320] lr: 2.0000e-04 eta: 1:12:23 time: 0.2241 data_time: 0.0141 memory: 11037 grad_norm: 11.0493 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1476 loss: 1.1476 2022/08/08 17:50:03 - mmengine - INFO - Epoch(train) [36][740/1320] lr: 2.0000e-04 eta: 1:12:19 time: 0.2281 data_time: 0.0170 memory: 11037 grad_norm: 10.6879 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1766 loss: 1.1766 2022/08/08 17:50:08 - mmengine - INFO - Epoch(train) [36][760/1320] lr: 2.0000e-04 eta: 1:12:14 time: 0.2251 data_time: 0.0138 memory: 11037 grad_norm: 11.1765 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1082 loss: 1.1082 2022/08/08 17:50:12 - mmengine - INFO - Epoch(train) [36][780/1320] lr: 2.0000e-04 eta: 1:12:09 time: 0.2257 data_time: 0.0138 memory: 11037 grad_norm: 11.0448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1088 loss: 1.1088 2022/08/08 17:50:17 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:50:17 - mmengine - INFO - Epoch(train) [36][800/1320] lr: 2.0000e-04 eta: 1:12:05 time: 0.2254 data_time: 0.0145 memory: 11037 grad_norm: 10.8997 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4276 loss: 1.4276 2022/08/08 17:50:21 - mmengine - INFO - Epoch(train) [36][820/1320] lr: 2.0000e-04 eta: 1:12:00 time: 0.2251 data_time: 0.0135 memory: 11037 grad_norm: 11.1035 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3236 loss: 1.3236 2022/08/08 17:50:26 - mmengine - INFO - Epoch(train) [36][840/1320] lr: 2.0000e-04 eta: 1:11:56 time: 0.2245 data_time: 0.0143 memory: 11037 grad_norm: 10.8409 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2800 loss: 1.2800 2022/08/08 17:50:30 - mmengine - INFO - Epoch(train) [36][860/1320] lr: 2.0000e-04 eta: 1:11:51 time: 0.2359 data_time: 0.0152 memory: 11037 grad_norm: 10.9647 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2197 loss: 1.2197 2022/08/08 17:50:35 - mmengine - INFO - Epoch(train) [36][880/1320] lr: 2.0000e-04 eta: 1:11:47 time: 0.2250 data_time: 0.0134 memory: 11037 grad_norm: 10.9799 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0399 loss: 1.0399 2022/08/08 17:50:39 - mmengine - INFO - Epoch(train) [36][900/1320] lr: 2.0000e-04 eta: 1:11:42 time: 0.2247 data_time: 0.0139 memory: 11037 grad_norm: 11.1898 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3410 loss: 1.3410 2022/08/08 17:50:44 - mmengine - INFO - Epoch(train) [36][920/1320] lr: 2.0000e-04 eta: 1:11:38 time: 0.2247 data_time: 0.0137 memory: 11037 grad_norm: 10.9862 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1990 loss: 1.1990 2022/08/08 17:50:48 - mmengine - INFO - Epoch(train) [36][940/1320] lr: 2.0000e-04 eta: 1:11:33 time: 0.2281 data_time: 0.0130 memory: 11037 grad_norm: 10.7695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1949 loss: 1.1949 2022/08/08 17:50:53 - mmengine - INFO - Epoch(train) [36][960/1320] lr: 2.0000e-04 eta: 1:11:28 time: 0.2302 data_time: 0.0122 memory: 11037 grad_norm: 10.8229 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2848 loss: 1.2848 2022/08/08 17:50:58 - mmengine - INFO - Epoch(train) [36][980/1320] lr: 2.0000e-04 eta: 1:11:24 time: 0.2251 data_time: 0.0141 memory: 11037 grad_norm: 11.1363 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4018 loss: 1.4018 2022/08/08 17:51:02 - mmengine - INFO - Epoch(train) [36][1000/1320] lr: 2.0000e-04 eta: 1:11:19 time: 0.2255 data_time: 0.0140 memory: 11037 grad_norm: 10.9131 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1786 loss: 1.1786 2022/08/08 17:51:07 - mmengine - INFO - Epoch(train) [36][1020/1320] lr: 2.0000e-04 eta: 1:11:15 time: 0.2244 data_time: 0.0142 memory: 11037 grad_norm: 11.2086 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3049 loss: 1.3049 2022/08/08 17:51:12 - mmengine - INFO - Epoch(train) [36][1040/1320] lr: 2.0000e-04 eta: 1:11:11 time: 0.2713 data_time: 0.0151 memory: 11037 grad_norm: 11.3934 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3292 loss: 1.3292 2022/08/08 17:51:16 - mmengine - INFO - Epoch(train) [36][1060/1320] lr: 2.0000e-04 eta: 1:11:06 time: 0.2247 data_time: 0.0134 memory: 11037 grad_norm: 11.0710 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2438 loss: 1.2438 2022/08/08 17:51:21 - mmengine - INFO - Epoch(train) [36][1080/1320] lr: 2.0000e-04 eta: 1:11:01 time: 0.2266 data_time: 0.0163 memory: 11037 grad_norm: 10.7166 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2180 loss: 1.2180 2022/08/08 17:51:26 - mmengine - INFO - Epoch(train) [36][1100/1320] lr: 2.0000e-04 eta: 1:10:57 time: 0.2260 data_time: 0.0151 memory: 11037 grad_norm: 11.2164 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2500 loss: 1.2500 2022/08/08 17:51:30 - mmengine - INFO - Epoch(train) [36][1120/1320] lr: 2.0000e-04 eta: 1:10:52 time: 0.2312 data_time: 0.0134 memory: 11037 grad_norm: 11.0373 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2585 loss: 1.2585 2022/08/08 17:51:35 - mmengine - INFO - Epoch(train) [36][1140/1320] lr: 2.0000e-04 eta: 1:10:48 time: 0.2242 data_time: 0.0137 memory: 11037 grad_norm: 11.3277 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3979 loss: 1.3979 2022/08/08 17:51:39 - mmengine - INFO - Epoch(train) [36][1160/1320] lr: 2.0000e-04 eta: 1:10:43 time: 0.2259 data_time: 0.0138 memory: 11037 grad_norm: 10.9156 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3227 loss: 1.3227 2022/08/08 17:51:44 - mmengine - INFO - Epoch(train) [36][1180/1320] lr: 2.0000e-04 eta: 1:10:39 time: 0.2250 data_time: 0.0133 memory: 11037 grad_norm: 10.9890 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2272 loss: 1.2272 2022/08/08 17:51:48 - mmengine - INFO - Epoch(train) [36][1200/1320] lr: 2.0000e-04 eta: 1:10:34 time: 0.2239 data_time: 0.0125 memory: 11037 grad_norm: 11.2886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2247 loss: 1.2247 2022/08/08 17:51:53 - mmengine - INFO - Epoch(train) [36][1220/1320] lr: 2.0000e-04 eta: 1:10:29 time: 0.2299 data_time: 0.0145 memory: 11037 grad_norm: 10.9431 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1522 loss: 1.1522 2022/08/08 17:51:57 - mmengine - INFO - Epoch(train) [36][1240/1320] lr: 2.0000e-04 eta: 1:10:25 time: 0.2249 data_time: 0.0134 memory: 11037 grad_norm: 10.9262 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2808 loss: 1.2808 2022/08/08 17:52:02 - mmengine - INFO - Epoch(train) [36][1260/1320] lr: 2.0000e-04 eta: 1:10:20 time: 0.2241 data_time: 0.0130 memory: 11037 grad_norm: 11.0662 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3129 loss: 1.3129 2022/08/08 17:52:06 - mmengine - INFO - Epoch(train) [36][1280/1320] lr: 2.0000e-04 eta: 1:10:16 time: 0.2261 data_time: 0.0139 memory: 11037 grad_norm: 10.9777 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1286 loss: 1.1286 2022/08/08 17:52:11 - mmengine - INFO - Epoch(train) [36][1300/1320] lr: 2.0000e-04 eta: 1:10:11 time: 0.2271 data_time: 0.0141 memory: 11037 grad_norm: 11.2055 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2312 loss: 1.2312 2022/08/08 17:52:15 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:52:15 - mmengine - INFO - Epoch(train) [36][1320/1320] lr: 2.0000e-04 eta: 1:10:07 time: 0.2154 data_time: 0.0131 memory: 11037 grad_norm: 10.9760 top1_acc: 0.7273 top5_acc: 0.8182 loss_cls: 1.2277 loss: 1.2277 2022/08/08 17:52:15 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/08/08 17:52:21 - mmengine - INFO - Epoch(val) [36][20/194] eta: 0:00:29 time: 0.1714 data_time: 0.0912 memory: 1858 2022/08/08 17:52:23 - mmengine - INFO - Epoch(val) [36][40/194] eta: 0:00:17 time: 0.1142 data_time: 0.0377 memory: 1858 2022/08/08 17:52:25 - mmengine - INFO - Epoch(val) [36][60/194] eta: 0:00:16 time: 0.1200 data_time: 0.0426 memory: 1858 2022/08/08 17:52:27 - mmengine - INFO - Epoch(val) [36][80/194] eta: 0:00:11 time: 0.0971 data_time: 0.0195 memory: 1858 2022/08/08 17:52:30 - mmengine - INFO - Epoch(val) [36][100/194] eta: 0:00:11 time: 0.1240 data_time: 0.0497 memory: 1858 2022/08/08 17:52:32 - mmengine - INFO - Epoch(val) [36][120/194] eta: 0:00:08 time: 0.1088 data_time: 0.0335 memory: 1858 2022/08/08 17:52:34 - mmengine - INFO - Epoch(val) [36][140/194] eta: 0:00:06 time: 0.1212 data_time: 0.0422 memory: 1858 2022/08/08 17:52:36 - mmengine - INFO - Epoch(val) [36][160/194] eta: 0:00:03 time: 0.0983 data_time: 0.0167 memory: 1858 2022/08/08 17:52:38 - mmengine - INFO - Epoch(val) [36][180/194] eta: 0:00:01 time: 0.0813 data_time: 0.0239 memory: 1858 2022/08/08 17:52:40 - mmengine - INFO - Epoch(val) [36][194/194] acc/top1: 0.4808 acc/top5: 0.7656 acc/mean1: 0.4081 2022/08/08 17:52:40 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 17:52:45 - mmengine - INFO - Epoch(train) [37][20/1320] lr: 2.0000e-04 eta: 1:10:02 time: 0.2678 data_time: 0.0472 memory: 11037 grad_norm: 10.7941 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1198 loss: 1.1198 2022/08/08 17:52:50 - mmengine - INFO - Epoch(train) [37][40/1320] lr: 2.0000e-04 eta: 1:09:58 time: 0.2254 data_time: 0.0133 memory: 11037 grad_norm: 11.3000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2544 loss: 1.2544 2022/08/08 17:52:54 - mmengine - INFO - Epoch(train) [37][60/1320] lr: 2.0000e-04 eta: 1:09:53 time: 0.2250 data_time: 0.0133 memory: 11037 grad_norm: 10.9964 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3003 loss: 1.3003 2022/08/08 17:52:59 - mmengine - INFO - Epoch(train) [37][80/1320] lr: 2.0000e-04 eta: 1:09:49 time: 0.2280 data_time: 0.0150 memory: 11037 grad_norm: 11.1858 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3093 loss: 1.3093 2022/08/08 17:53:03 - mmengine - INFO - Epoch(train) [37][100/1320] lr: 2.0000e-04 eta: 1:09:44 time: 0.2307 data_time: 0.0154 memory: 11037 grad_norm: 11.2947 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1877 loss: 1.1877 2022/08/08 17:53:08 - mmengine - INFO - Epoch(train) [37][120/1320] lr: 2.0000e-04 eta: 1:09:39 time: 0.2240 data_time: 0.0134 memory: 11037 grad_norm: 11.1743 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2027 loss: 1.2027 2022/08/08 17:53:12 - mmengine - INFO - Epoch(train) [37][140/1320] lr: 2.0000e-04 eta: 1:09:35 time: 0.2256 data_time: 0.0153 memory: 11037 grad_norm: 10.8702 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1955 loss: 1.1955 2022/08/08 17:53:17 - mmengine - INFO - Epoch(train) [37][160/1320] lr: 2.0000e-04 eta: 1:09:30 time: 0.2246 data_time: 0.0127 memory: 11037 grad_norm: 10.8739 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2827 loss: 1.2827 2022/08/08 17:53:21 - mmengine - INFO - Epoch(train) [37][180/1320] lr: 2.0000e-04 eta: 1:09:26 time: 0.2286 data_time: 0.0152 memory: 11037 grad_norm: 11.3466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0868 loss: 1.0868 2022/08/08 17:53:26 - mmengine - INFO - Epoch(train) [37][200/1320] lr: 2.0000e-04 eta: 1:09:21 time: 0.2244 data_time: 0.0141 memory: 11037 grad_norm: 11.1525 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3102 loss: 1.3102 2022/08/08 17:53:30 - mmengine - INFO - Epoch(train) [37][220/1320] lr: 2.0000e-04 eta: 1:09:17 time: 0.2241 data_time: 0.0146 memory: 11037 grad_norm: 11.1064 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2573 loss: 1.2573 2022/08/08 17:53:35 - mmengine - INFO - Epoch(train) [37][240/1320] lr: 2.0000e-04 eta: 1:09:12 time: 0.2249 data_time: 0.0128 memory: 11037 grad_norm: 10.4526 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3297 loss: 1.3297 2022/08/08 17:53:39 - mmengine - INFO - Epoch(train) [37][260/1320] lr: 2.0000e-04 eta: 1:09:07 time: 0.2278 data_time: 0.0148 memory: 11037 grad_norm: 11.2461 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2640 loss: 1.2640 2022/08/08 17:53:44 - mmengine - INFO - Epoch(train) [37][280/1320] lr: 2.0000e-04 eta: 1:09:03 time: 0.2237 data_time: 0.0145 memory: 11037 grad_norm: 10.9759 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2922 loss: 1.2922 2022/08/08 17:53:48 - mmengine - INFO - Epoch(train) [37][300/1320] lr: 2.0000e-04 eta: 1:08:58 time: 0.2236 data_time: 0.0136 memory: 11037 grad_norm: 11.2515 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3087 loss: 1.3087 2022/08/08 17:53:53 - mmengine - INFO - Epoch(train) [37][320/1320] lr: 2.0000e-04 eta: 1:08:54 time: 0.2259 data_time: 0.0156 memory: 11037 grad_norm: 11.1814 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2015 loss: 1.2015 2022/08/08 17:53:57 - mmengine - INFO - Epoch(train) [37][340/1320] lr: 2.0000e-04 eta: 1:08:49 time: 0.2247 data_time: 0.0142 memory: 11037 grad_norm: 11.6172 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1292 loss: 1.1292 2022/08/08 17:54:02 - mmengine - INFO - Epoch(train) [37][360/1320] lr: 2.0000e-04 eta: 1:08:45 time: 0.2280 data_time: 0.0142 memory: 11037 grad_norm: 10.9583 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1581 loss: 1.1581 2022/08/08 17:54:06 - mmengine - INFO - Epoch(train) [37][380/1320] lr: 2.0000e-04 eta: 1:08:40 time: 0.2253 data_time: 0.0145 memory: 11037 grad_norm: 11.1732 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3480 loss: 1.3480 2022/08/08 17:54:11 - mmengine - INFO - Epoch(train) [37][400/1320] lr: 2.0000e-04 eta: 1:08:35 time: 0.2243 data_time: 0.0128 memory: 11037 grad_norm: 10.9338 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4276 loss: 1.4276 2022/08/08 17:54:15 - mmengine - INFO - Epoch(train) [37][420/1320] lr: 2.0000e-04 eta: 1:08:31 time: 0.2256 data_time: 0.0146 memory: 11037 grad_norm: 11.3707 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.2355 loss: 1.2355 2022/08/08 17:54:20 - mmengine - INFO - Epoch(train) [37][440/1320] lr: 2.0000e-04 eta: 1:08:26 time: 0.2353 data_time: 0.0157 memory: 11037 grad_norm: 11.3784 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0976 loss: 1.0976 2022/08/08 17:54:25 - mmengine - INFO - Epoch(train) [37][460/1320] lr: 2.0000e-04 eta: 1:08:22 time: 0.2242 data_time: 0.0129 memory: 11037 grad_norm: 11.0948 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2785 loss: 1.2785 2022/08/08 17:54:29 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:54:29 - mmengine - INFO - Epoch(train) [37][480/1320] lr: 2.0000e-04 eta: 1:08:17 time: 0.2236 data_time: 0.0137 memory: 11037 grad_norm: 11.4290 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1572 loss: 1.1572 2022/08/08 17:54:34 - mmengine - INFO - Epoch(train) [37][500/1320] lr: 2.0000e-04 eta: 1:08:13 time: 0.2253 data_time: 0.0143 memory: 11037 grad_norm: 10.8571 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4793 loss: 1.4793 2022/08/08 17:54:38 - mmengine - INFO - Epoch(train) [37][520/1320] lr: 2.0000e-04 eta: 1:08:08 time: 0.2252 data_time: 0.0129 memory: 11037 grad_norm: 11.2201 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3655 loss: 1.3655 2022/08/08 17:54:43 - mmengine - INFO - Epoch(train) [37][540/1320] lr: 2.0000e-04 eta: 1:08:04 time: 0.2300 data_time: 0.0118 memory: 11037 grad_norm: 11.1398 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1859 loss: 1.1859 2022/08/08 17:54:47 - mmengine - INFO - Epoch(train) [37][560/1320] lr: 2.0000e-04 eta: 1:07:59 time: 0.2260 data_time: 0.0147 memory: 11037 grad_norm: 11.5092 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1477 loss: 1.1477 2022/08/08 17:54:52 - mmengine - INFO - Epoch(train) [37][580/1320] lr: 2.0000e-04 eta: 1:07:54 time: 0.2262 data_time: 0.0142 memory: 11037 grad_norm: 11.2290 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2031 loss: 1.2031 2022/08/08 17:54:56 - mmengine - INFO - Epoch(train) [37][600/1320] lr: 2.0000e-04 eta: 1:07:50 time: 0.2236 data_time: 0.0123 memory: 11037 grad_norm: 11.0285 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.3228 loss: 1.3228 2022/08/08 17:55:01 - mmengine - INFO - Epoch(train) [37][620/1320] lr: 2.0000e-04 eta: 1:07:45 time: 0.2283 data_time: 0.0147 memory: 11037 grad_norm: 11.0283 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1065 loss: 1.1065 2022/08/08 17:55:05 - mmengine - INFO - Epoch(train) [37][640/1320] lr: 2.0000e-04 eta: 1:07:41 time: 0.2249 data_time: 0.0137 memory: 11037 grad_norm: 10.9739 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3643 loss: 1.3643 2022/08/08 17:55:10 - mmengine - INFO - Epoch(train) [37][660/1320] lr: 2.0000e-04 eta: 1:07:36 time: 0.2262 data_time: 0.0133 memory: 11037 grad_norm: 10.7683 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1408 loss: 1.1408 2022/08/08 17:55:14 - mmengine - INFO - Epoch(train) [37][680/1320] lr: 2.0000e-04 eta: 1:07:32 time: 0.2252 data_time: 0.0145 memory: 11037 grad_norm: 11.3047 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1679 loss: 1.1679 2022/08/08 17:55:19 - mmengine - INFO - Epoch(train) [37][700/1320] lr: 2.0000e-04 eta: 1:07:27 time: 0.2287 data_time: 0.0133 memory: 11037 grad_norm: 10.8823 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2360 loss: 1.2360 2022/08/08 17:55:24 - mmengine - INFO - Epoch(train) [37][720/1320] lr: 2.0000e-04 eta: 1:07:23 time: 0.2314 data_time: 0.0131 memory: 11037 grad_norm: 11.0162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3040 loss: 1.3040 2022/08/08 17:55:28 - mmengine - INFO - Epoch(train) [37][740/1320] lr: 2.0000e-04 eta: 1:07:18 time: 0.2255 data_time: 0.0145 memory: 11037 grad_norm: 11.0652 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3474 loss: 1.3474 2022/08/08 17:55:33 - mmengine - INFO - Epoch(train) [37][760/1320] lr: 2.0000e-04 eta: 1:07:13 time: 0.2250 data_time: 0.0141 memory: 11037 grad_norm: 11.1216 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2024 loss: 1.2024 2022/08/08 17:55:37 - mmengine - INFO - Epoch(train) [37][780/1320] lr: 2.0000e-04 eta: 1:07:09 time: 0.2245 data_time: 0.0129 memory: 11037 grad_norm: 11.3806 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.2795 loss: 1.2795 2022/08/08 17:55:42 - mmengine - INFO - Epoch(train) [37][800/1320] lr: 2.0000e-04 eta: 1:07:04 time: 0.2325 data_time: 0.0155 memory: 11037 grad_norm: 10.9092 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3622 loss: 1.3622 2022/08/08 17:55:46 - mmengine - INFO - Epoch(train) [37][820/1320] lr: 2.0000e-04 eta: 1:07:00 time: 0.2248 data_time: 0.0132 memory: 11037 grad_norm: 10.9555 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.4121 loss: 1.4121 2022/08/08 17:55:51 - mmengine - INFO - Epoch(train) [37][840/1320] lr: 2.0000e-04 eta: 1:06:55 time: 0.2248 data_time: 0.0131 memory: 11037 grad_norm: 10.9478 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2076 loss: 1.2076 2022/08/08 17:55:55 - mmengine - INFO - Epoch(train) [37][860/1320] lr: 2.0000e-04 eta: 1:06:51 time: 0.2259 data_time: 0.0166 memory: 11037 grad_norm: 11.0540 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2145 loss: 1.2145 2022/08/08 17:56:00 - mmengine - INFO - Epoch(train) [37][880/1320] lr: 2.0000e-04 eta: 1:06:46 time: 0.2275 data_time: 0.0140 memory: 11037 grad_norm: 11.1772 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2189 loss: 1.2189 2022/08/08 17:56:04 - mmengine - INFO - Epoch(train) [37][900/1320] lr: 2.0000e-04 eta: 1:06:41 time: 0.2246 data_time: 0.0134 memory: 11037 grad_norm: 10.8430 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1729 loss: 1.1729 2022/08/08 17:56:09 - mmengine - INFO - Epoch(train) [37][920/1320] lr: 2.0000e-04 eta: 1:06:37 time: 0.2265 data_time: 0.0141 memory: 11037 grad_norm: 11.0011 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4032 loss: 1.4032 2022/08/08 17:56:13 - mmengine - INFO - Epoch(train) [37][940/1320] lr: 2.0000e-04 eta: 1:06:32 time: 0.2249 data_time: 0.0138 memory: 11037 grad_norm: 11.2076 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.2384 loss: 1.2384 2022/08/08 17:56:18 - mmengine - INFO - Epoch(train) [37][960/1320] lr: 2.0000e-04 eta: 1:06:28 time: 0.2245 data_time: 0.0123 memory: 11037 grad_norm: 11.1848 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1808 loss: 1.1808 2022/08/08 17:56:23 - mmengine - INFO - Epoch(train) [37][980/1320] lr: 2.0000e-04 eta: 1:06:23 time: 0.2366 data_time: 0.0160 memory: 11037 grad_norm: 11.1876 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1593 loss: 1.1593 2022/08/08 17:56:27 - mmengine - INFO - Epoch(train) [37][1000/1320] lr: 2.0000e-04 eta: 1:06:19 time: 0.2243 data_time: 0.0134 memory: 11037 grad_norm: 11.0294 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3434 loss: 1.3434 2022/08/08 17:56:32 - mmengine - INFO - Epoch(train) [37][1020/1320] lr: 2.0000e-04 eta: 1:06:14 time: 0.2249 data_time: 0.0138 memory: 11037 grad_norm: 11.2670 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1710 loss: 1.1710 2022/08/08 17:56:36 - mmengine - INFO - Epoch(train) [37][1040/1320] lr: 2.0000e-04 eta: 1:06:10 time: 0.2266 data_time: 0.0141 memory: 11037 grad_norm: 11.3666 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2865 loss: 1.2865 2022/08/08 17:56:41 - mmengine - INFO - Epoch(train) [37][1060/1320] lr: 2.0000e-04 eta: 1:06:05 time: 0.2328 data_time: 0.0137 memory: 11037 grad_norm: 11.0356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1014 loss: 1.1014 2022/08/08 17:56:45 - mmengine - INFO - Epoch(train) [37][1080/1320] lr: 2.0000e-04 eta: 1:06:00 time: 0.2248 data_time: 0.0134 memory: 11037 grad_norm: 11.1057 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1252 loss: 1.1252 2022/08/08 17:56:50 - mmengine - INFO - Epoch(train) [37][1100/1320] lr: 2.0000e-04 eta: 1:05:56 time: 0.2263 data_time: 0.0162 memory: 11037 grad_norm: 11.2955 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2758 loss: 1.2758 2022/08/08 17:56:54 - mmengine - INFO - Epoch(train) [37][1120/1320] lr: 2.0000e-04 eta: 1:05:51 time: 0.2246 data_time: 0.0135 memory: 11037 grad_norm: 10.8913 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1547 loss: 1.1547 2022/08/08 17:56:59 - mmengine - INFO - Epoch(train) [37][1140/1320] lr: 2.0000e-04 eta: 1:05:47 time: 0.2244 data_time: 0.0131 memory: 11037 grad_norm: 11.2953 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1931 loss: 1.1931 2022/08/08 17:57:03 - mmengine - INFO - Epoch(train) [37][1160/1320] lr: 2.0000e-04 eta: 1:05:42 time: 0.2321 data_time: 0.0155 memory: 11037 grad_norm: 10.9692 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2068 loss: 1.2068 2022/08/08 17:57:08 - mmengine - INFO - Epoch(train) [37][1180/1320] lr: 2.0000e-04 eta: 1:05:38 time: 0.2248 data_time: 0.0138 memory: 11037 grad_norm: 11.2479 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1686 loss: 1.1686 2022/08/08 17:57:12 - mmengine - INFO - Epoch(train) [37][1200/1320] lr: 2.0000e-04 eta: 1:05:33 time: 0.2241 data_time: 0.0133 memory: 11037 grad_norm: 11.2075 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1899 loss: 1.1899 2022/08/08 17:57:17 - mmengine - INFO - Epoch(train) [37][1220/1320] lr: 2.0000e-04 eta: 1:05:29 time: 0.2261 data_time: 0.0178 memory: 11037 grad_norm: 10.9137 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3544 loss: 1.3544 2022/08/08 17:57:22 - mmengine - INFO - Epoch(train) [37][1240/1320] lr: 2.0000e-04 eta: 1:05:24 time: 0.2308 data_time: 0.0146 memory: 11037 grad_norm: 11.1541 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1415 loss: 1.1415 2022/08/08 17:57:26 - mmengine - INFO - Epoch(train) [37][1260/1320] lr: 2.0000e-04 eta: 1:05:19 time: 0.2243 data_time: 0.0120 memory: 11037 grad_norm: 11.3055 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2103 loss: 1.2103 2022/08/08 17:57:31 - mmengine - INFO - Epoch(train) [37][1280/1320] lr: 2.0000e-04 eta: 1:05:15 time: 0.2258 data_time: 0.0146 memory: 11037 grad_norm: 11.0349 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2044 loss: 1.2044 2022/08/08 17:57:35 - mmengine - INFO - Epoch(train) [37][1300/1320] lr: 2.0000e-04 eta: 1:05:10 time: 0.2239 data_time: 0.0139 memory: 11037 grad_norm: 11.3470 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.1691 loss: 1.1691 2022/08/08 17:57:40 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:57:40 - mmengine - INFO - Epoch(train) [37][1320/1320] lr: 2.0000e-04 eta: 1:05:06 time: 0.2240 data_time: 0.0140 memory: 11037 grad_norm: 11.3374 top1_acc: 0.5455 top5_acc: 0.6364 loss_cls: 1.3023 loss: 1.3023 2022/08/08 17:57:40 - mmengine - INFO - Saving checkpoint at 37 epochs 2022/08/08 17:57:45 - mmengine - INFO - Epoch(val) [37][20/194] eta: 0:00:28 time: 0.1665 data_time: 0.0864 memory: 1858 2022/08/08 17:57:47 - mmengine - INFO - Epoch(val) [37][40/194] eta: 0:00:16 time: 0.1076 data_time: 0.0312 memory: 1858 2022/08/08 17:57:49 - mmengine - INFO - Epoch(val) [37][60/194] eta: 0:00:14 time: 0.1117 data_time: 0.0331 memory: 1858 2022/08/08 17:57:51 - mmengine - INFO - Epoch(val) [37][80/194] eta: 0:00:12 time: 0.1070 data_time: 0.0312 memory: 1858 2022/08/08 17:57:54 - mmengine - INFO - Epoch(val) [37][100/194] eta: 0:00:11 time: 0.1229 data_time: 0.0469 memory: 1858 2022/08/08 17:57:56 - mmengine - INFO - Epoch(val) [37][120/194] eta: 0:00:08 time: 0.1084 data_time: 0.0320 memory: 1858 2022/08/08 17:57:58 - mmengine - INFO - Epoch(val) [37][140/194] eta: 0:00:06 time: 0.1152 data_time: 0.0372 memory: 1858 2022/08/08 17:58:01 - mmengine - INFO - Epoch(val) [37][160/194] eta: 0:00:04 time: 0.1241 data_time: 0.0523 memory: 1858 2022/08/08 17:58:03 - mmengine - INFO - Epoch(val) [37][180/194] eta: 0:00:01 time: 0.0985 data_time: 0.0274 memory: 1858 2022/08/08 17:58:05 - mmengine - INFO - Epoch(val) [37][194/194] acc/top1: 0.4846 acc/top5: 0.7656 acc/mean1: 0.4072 2022/08/08 17:58:05 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_35.pth is removed 2022/08/08 17:58:06 - mmengine - INFO - The best checkpoint with 0.4846 acc/top1 at 38 epoch is saved to best_acc/top1_epoch_38.pth. 2022/08/08 17:58:06 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 17:58:11 - mmengine - INFO - Epoch(train) [38][20/1320] lr: 2.0000e-04 eta: 1:05:01 time: 0.2459 data_time: 0.0378 memory: 11037 grad_norm: 10.9733 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0998 loss: 1.0998 2022/08/08 17:58:16 - mmengine - INFO - Epoch(train) [38][40/1320] lr: 2.0000e-04 eta: 1:04:57 time: 0.2244 data_time: 0.0135 memory: 11037 grad_norm: 10.8960 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2330 loss: 1.2330 2022/08/08 17:58:20 - mmengine - INFO - Epoch(train) [38][60/1320] lr: 2.0000e-04 eta: 1:04:52 time: 0.2337 data_time: 0.0161 memory: 11037 grad_norm: 11.2847 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2751 loss: 1.2751 2022/08/08 17:58:25 - mmengine - INFO - Epoch(train) [38][80/1320] lr: 2.0000e-04 eta: 1:04:48 time: 0.2247 data_time: 0.0136 memory: 11037 grad_norm: 11.1183 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1292 loss: 1.1292 2022/08/08 17:58:29 - mmengine - INFO - Epoch(train) [38][100/1320] lr: 2.0000e-04 eta: 1:04:43 time: 0.2238 data_time: 0.0131 memory: 11037 grad_norm: 11.7475 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4532 loss: 1.4532 2022/08/08 17:58:34 - mmengine - INFO - Epoch(train) [38][120/1320] lr: 2.0000e-04 eta: 1:04:38 time: 0.2253 data_time: 0.0143 memory: 11037 grad_norm: 10.7950 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2792 loss: 1.2792 2022/08/08 17:58:38 - mmengine - INFO - Epoch(train) [38][140/1320] lr: 2.0000e-04 eta: 1:04:34 time: 0.2247 data_time: 0.0138 memory: 11037 grad_norm: 11.4867 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1395 loss: 1.1395 2022/08/08 17:58:43 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 17:58:43 - mmengine - INFO - Epoch(train) [38][160/1320] lr: 2.0000e-04 eta: 1:04:29 time: 0.2447 data_time: 0.0142 memory: 11037 grad_norm: 11.4824 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2363 loss: 1.2363 2022/08/08 17:58:48 - mmengine - INFO - Epoch(train) [38][180/1320] lr: 2.0000e-04 eta: 1:04:25 time: 0.2252 data_time: 0.0145 memory: 11037 grad_norm: 11.2915 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0666 loss: 1.0666 2022/08/08 17:58:52 - mmengine - INFO - Epoch(train) [38][200/1320] lr: 2.0000e-04 eta: 1:04:20 time: 0.2244 data_time: 0.0129 memory: 11037 grad_norm: 11.2932 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1395 loss: 1.1395 2022/08/08 17:58:57 - mmengine - INFO - Epoch(train) [38][220/1320] lr: 2.0000e-04 eta: 1:04:16 time: 0.2227 data_time: 0.0148 memory: 11037 grad_norm: 11.0557 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2008 loss: 1.2008 2022/08/08 17:59:01 - mmengine - INFO - Epoch(train) [38][240/1320] lr: 2.0000e-04 eta: 1:04:11 time: 0.2292 data_time: 0.0167 memory: 11037 grad_norm: 11.7158 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2120 loss: 1.2120 2022/08/08 17:59:06 - mmengine - INFO - Epoch(train) [38][260/1320] lr: 2.0000e-04 eta: 1:04:07 time: 0.2245 data_time: 0.0137 memory: 11037 grad_norm: 10.8162 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1695 loss: 1.1695 2022/08/08 17:59:10 - mmengine - INFO - Epoch(train) [38][280/1320] lr: 2.0000e-04 eta: 1:04:02 time: 0.2243 data_time: 0.0128 memory: 11037 grad_norm: 11.0533 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1204 loss: 1.1204 2022/08/08 17:59:15 - mmengine - INFO - Epoch(train) [38][300/1320] lr: 2.0000e-04 eta: 1:03:57 time: 0.2248 data_time: 0.0160 memory: 11037 grad_norm: 11.4881 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2033 loss: 1.2033 2022/08/08 17:59:19 - mmengine - INFO - Epoch(train) [38][320/1320] lr: 2.0000e-04 eta: 1:03:53 time: 0.2265 data_time: 0.0134 memory: 11037 grad_norm: 11.3413 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2331 loss: 1.2331 2022/08/08 17:59:24 - mmengine - INFO - Epoch(train) [38][340/1320] lr: 2.0000e-04 eta: 1:03:48 time: 0.2265 data_time: 0.0123 memory: 11037 grad_norm: 11.0168 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3440 loss: 1.3440 2022/08/08 17:59:28 - mmengine - INFO - Epoch(train) [38][360/1320] lr: 2.0000e-04 eta: 1:03:44 time: 0.2251 data_time: 0.0165 memory: 11037 grad_norm: 11.0223 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3643 loss: 1.3643 2022/08/08 17:59:33 - mmengine - INFO - Epoch(train) [38][380/1320] lr: 2.0000e-04 eta: 1:03:39 time: 0.2247 data_time: 0.0134 memory: 11037 grad_norm: 11.1612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0626 loss: 1.0626 2022/08/08 17:59:37 - mmengine - INFO - Epoch(train) [38][400/1320] lr: 2.0000e-04 eta: 1:03:35 time: 0.2247 data_time: 0.0136 memory: 11037 grad_norm: 11.1049 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2995 loss: 1.2995 2022/08/08 17:59:42 - mmengine - INFO - Epoch(train) [38][420/1320] lr: 2.0000e-04 eta: 1:03:30 time: 0.2313 data_time: 0.0150 memory: 11037 grad_norm: 11.4156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1697 loss: 1.1697 2022/08/08 17:59:46 - mmengine - INFO - Epoch(train) [38][440/1320] lr: 2.0000e-04 eta: 1:03:26 time: 0.2249 data_time: 0.0150 memory: 11037 grad_norm: 11.4495 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1936 loss: 1.1936 2022/08/08 17:59:51 - mmengine - INFO - Epoch(train) [38][460/1320] lr: 2.0000e-04 eta: 1:03:21 time: 0.2248 data_time: 0.0130 memory: 11037 grad_norm: 11.2447 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1965 loss: 1.1965 2022/08/08 17:59:55 - mmengine - INFO - Epoch(train) [38][480/1320] lr: 2.0000e-04 eta: 1:03:16 time: 0.2237 data_time: 0.0140 memory: 11037 grad_norm: 11.0671 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0569 loss: 1.0569 2022/08/08 18:00:00 - mmengine - INFO - Epoch(train) [38][500/1320] lr: 2.0000e-04 eta: 1:03:12 time: 0.2262 data_time: 0.0136 memory: 11037 grad_norm: 11.2713 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1813 loss: 1.1813 2022/08/08 18:00:07 - mmengine - INFO - Epoch(train) [38][520/1320] lr: 2.0000e-04 eta: 1:03:08 time: 0.3565 data_time: 0.0168 memory: 11037 grad_norm: 11.2844 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2349 loss: 1.2349 2022/08/08 18:00:11 - mmengine - INFO - Epoch(train) [38][540/1320] lr: 2.0000e-04 eta: 1:03:04 time: 0.2265 data_time: 0.0165 memory: 11037 grad_norm: 10.8905 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1486 loss: 1.1486 2022/08/08 18:00:16 - mmengine - INFO - Epoch(train) [38][560/1320] lr: 2.0000e-04 eta: 1:02:59 time: 0.2244 data_time: 0.0136 memory: 11037 grad_norm: 11.3214 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1473 loss: 1.1473 2022/08/08 18:00:21 - mmengine - INFO - Epoch(train) [38][580/1320] lr: 2.0000e-04 eta: 1:02:54 time: 0.2265 data_time: 0.0132 memory: 11037 grad_norm: 11.4074 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2192 loss: 1.2192 2022/08/08 18:00:25 - mmengine - INFO - Epoch(train) [38][600/1320] lr: 2.0000e-04 eta: 1:02:50 time: 0.2260 data_time: 0.0144 memory: 11037 grad_norm: 11.4568 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.3262 loss: 1.3262 2022/08/08 18:00:30 - mmengine - INFO - Epoch(train) [38][620/1320] lr: 2.0000e-04 eta: 1:02:45 time: 0.2251 data_time: 0.0132 memory: 11037 grad_norm: 11.1431 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0908 loss: 1.0908 2022/08/08 18:00:34 - mmengine - INFO - Epoch(train) [38][640/1320] lr: 2.0000e-04 eta: 1:02:41 time: 0.2238 data_time: 0.0131 memory: 11037 grad_norm: 11.3206 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2249 loss: 1.2249 2022/08/08 18:00:39 - mmengine - INFO - Epoch(train) [38][660/1320] lr: 2.0000e-04 eta: 1:02:36 time: 0.2273 data_time: 0.0155 memory: 11037 grad_norm: 11.2404 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3877 loss: 1.3877 2022/08/08 18:00:43 - mmengine - INFO - Epoch(train) [38][680/1320] lr: 2.0000e-04 eta: 1:02:32 time: 0.2268 data_time: 0.0143 memory: 11037 grad_norm: 11.3981 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0299 loss: 1.0299 2022/08/08 18:00:48 - mmengine - INFO - Epoch(train) [38][700/1320] lr: 2.0000e-04 eta: 1:02:27 time: 0.2231 data_time: 0.0123 memory: 11037 grad_norm: 11.1334 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0539 loss: 1.0539 2022/08/08 18:00:52 - mmengine - INFO - Epoch(train) [38][720/1320] lr: 2.0000e-04 eta: 1:02:22 time: 0.2251 data_time: 0.0143 memory: 11037 grad_norm: 11.0406 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3901 loss: 1.3901 2022/08/08 18:00:57 - mmengine - INFO - Epoch(train) [38][740/1320] lr: 2.0000e-04 eta: 1:02:18 time: 0.2245 data_time: 0.0117 memory: 11037 grad_norm: 11.2642 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2408 loss: 1.2408 2022/08/08 18:01:01 - mmengine - INFO - Epoch(train) [38][760/1320] lr: 2.0000e-04 eta: 1:02:13 time: 0.2277 data_time: 0.0135 memory: 11037 grad_norm: 10.9463 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.1506 loss: 1.1506 2022/08/08 18:01:06 - mmengine - INFO - Epoch(train) [38][780/1320] lr: 2.0000e-04 eta: 1:02:09 time: 0.2267 data_time: 0.0151 memory: 11037 grad_norm: 11.0840 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2180 loss: 1.2180 2022/08/08 18:01:10 - mmengine - INFO - Epoch(train) [38][800/1320] lr: 2.0000e-04 eta: 1:02:04 time: 0.2269 data_time: 0.0150 memory: 11037 grad_norm: 11.5182 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1784 loss: 1.1784 2022/08/08 18:01:15 - mmengine - INFO - Epoch(train) [38][820/1320] lr: 2.0000e-04 eta: 1:02:00 time: 0.2245 data_time: 0.0123 memory: 11037 grad_norm: 11.5290 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3259 loss: 1.3259 2022/08/08 18:01:19 - mmengine - INFO - Epoch(train) [38][840/1320] lr: 2.0000e-04 eta: 1:01:55 time: 0.2249 data_time: 0.0140 memory: 11037 grad_norm: 11.0056 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2286 loss: 1.2286 2022/08/08 18:01:24 - mmengine - INFO - Epoch(train) [38][860/1320] lr: 2.0000e-04 eta: 1:01:50 time: 0.2270 data_time: 0.0141 memory: 11037 grad_norm: 11.1244 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.2642 loss: 1.2642 2022/08/08 18:01:28 - mmengine - INFO - Epoch(train) [38][880/1320] lr: 2.0000e-04 eta: 1:01:46 time: 0.2236 data_time: 0.0131 memory: 11037 grad_norm: 10.9004 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3746 loss: 1.3746 2022/08/08 18:01:33 - mmengine - INFO - Epoch(train) [38][900/1320] lr: 2.0000e-04 eta: 1:01:41 time: 0.2253 data_time: 0.0142 memory: 11037 grad_norm: 11.2629 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1997 loss: 1.1997 2022/08/08 18:01:37 - mmengine - INFO - Epoch(train) [38][920/1320] lr: 2.0000e-04 eta: 1:01:37 time: 0.2284 data_time: 0.0147 memory: 11037 grad_norm: 11.0401 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1917 loss: 1.1917 2022/08/08 18:01:42 - mmengine - INFO - Epoch(train) [38][940/1320] lr: 2.0000e-04 eta: 1:01:32 time: 0.2257 data_time: 0.0134 memory: 11037 grad_norm: 11.3612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3501 loss: 1.3501 2022/08/08 18:01:46 - mmengine - INFO - Epoch(train) [38][960/1320] lr: 2.0000e-04 eta: 1:01:28 time: 0.2251 data_time: 0.0143 memory: 11037 grad_norm: 11.0489 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1952 loss: 1.1952 2022/08/08 18:01:51 - mmengine - INFO - Epoch(train) [38][980/1320] lr: 2.0000e-04 eta: 1:01:23 time: 0.2278 data_time: 0.0153 memory: 11037 grad_norm: 10.8903 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0059 loss: 1.0059 2022/08/08 18:01:55 - mmengine - INFO - Epoch(train) [38][1000/1320] lr: 2.0000e-04 eta: 1:01:19 time: 0.2259 data_time: 0.0136 memory: 11037 grad_norm: 11.2781 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.1813 loss: 1.1813 2022/08/08 18:02:00 - mmengine - INFO - Epoch(train) [38][1020/1320] lr: 2.0000e-04 eta: 1:01:14 time: 0.2264 data_time: 0.0145 memory: 11037 grad_norm: 11.3695 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1380 loss: 1.1380 2022/08/08 18:02:04 - mmengine - INFO - Epoch(train) [38][1040/1320] lr: 2.0000e-04 eta: 1:01:09 time: 0.2261 data_time: 0.0132 memory: 11037 grad_norm: 11.0550 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1600 loss: 1.1600 2022/08/08 18:02:09 - mmengine - INFO - Epoch(train) [38][1060/1320] lr: 2.0000e-04 eta: 1:01:05 time: 0.2243 data_time: 0.0129 memory: 11037 grad_norm: 11.5192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2780 loss: 1.2780 2022/08/08 18:02:14 - mmengine - INFO - Epoch(train) [38][1080/1320] lr: 2.0000e-04 eta: 1:01:00 time: 0.2296 data_time: 0.0153 memory: 11037 grad_norm: 11.3886 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1082 loss: 1.1082 2022/08/08 18:02:18 - mmengine - INFO - Epoch(train) [38][1100/1320] lr: 2.0000e-04 eta: 1:00:56 time: 0.2248 data_time: 0.0138 memory: 11037 grad_norm: 10.8810 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1393 loss: 1.1393 2022/08/08 18:02:23 - mmengine - INFO - Epoch(train) [38][1120/1320] lr: 2.0000e-04 eta: 1:00:51 time: 0.2294 data_time: 0.0135 memory: 11037 grad_norm: 11.4942 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3492 loss: 1.3492 2022/08/08 18:02:27 - mmengine - INFO - Epoch(train) [38][1140/1320] lr: 2.0000e-04 eta: 1:00:47 time: 0.2246 data_time: 0.0138 memory: 11037 grad_norm: 10.8505 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1732 loss: 1.1732 2022/08/08 18:02:32 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:02:32 - mmengine - INFO - Epoch(train) [38][1160/1320] lr: 2.0000e-04 eta: 1:00:42 time: 0.2282 data_time: 0.0142 memory: 11037 grad_norm: 11.1163 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2218 loss: 1.2218 2022/08/08 18:02:36 - mmengine - INFO - Epoch(train) [38][1180/1320] lr: 2.0000e-04 eta: 1:00:37 time: 0.2251 data_time: 0.0137 memory: 11037 grad_norm: 11.5179 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3724 loss: 1.3724 2022/08/08 18:02:41 - mmengine - INFO - Epoch(train) [38][1200/1320] lr: 2.0000e-04 eta: 1:00:33 time: 0.2273 data_time: 0.0141 memory: 11037 grad_norm: 11.3321 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2699 loss: 1.2699 2022/08/08 18:02:45 - mmengine - INFO - Epoch(train) [38][1220/1320] lr: 2.0000e-04 eta: 1:00:28 time: 0.2263 data_time: 0.0148 memory: 11037 grad_norm: 11.0716 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1657 loss: 1.1657 2022/08/08 18:02:50 - mmengine - INFO - Epoch(train) [38][1240/1320] lr: 2.0000e-04 eta: 1:00:24 time: 0.2252 data_time: 0.0154 memory: 11037 grad_norm: 11.6309 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1419 loss: 1.1419 2022/08/08 18:02:54 - mmengine - INFO - Epoch(train) [38][1260/1320] lr: 2.0000e-04 eta: 1:00:19 time: 0.2262 data_time: 0.0151 memory: 11037 grad_norm: 11.5574 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2768 loss: 1.2768 2022/08/08 18:02:59 - mmengine - INFO - Epoch(train) [38][1280/1320] lr: 2.0000e-04 eta: 1:00:15 time: 0.2244 data_time: 0.0131 memory: 11037 grad_norm: 11.2692 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3590 loss: 1.3590 2022/08/08 18:03:03 - mmengine - INFO - Epoch(train) [38][1300/1320] lr: 2.0000e-04 eta: 1:00:10 time: 0.2288 data_time: 0.0132 memory: 11037 grad_norm: 11.2968 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2013 loss: 1.2013 2022/08/08 18:03:08 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:03:08 - mmengine - INFO - Epoch(train) [38][1320/1320] lr: 2.0000e-04 eta: 1:00:05 time: 0.2157 data_time: 0.0133 memory: 11037 grad_norm: 11.3133 top1_acc: 0.5455 top5_acc: 0.8182 loss_cls: 1.1711 loss: 1.1711 2022/08/08 18:03:08 - mmengine - INFO - Saving checkpoint at 38 epochs 2022/08/08 18:03:13 - mmengine - INFO - Epoch(val) [38][20/194] eta: 0:00:28 time: 0.1650 data_time: 0.0850 memory: 1858 2022/08/08 18:03:16 - mmengine - INFO - Epoch(val) [38][40/194] eta: 0:00:17 time: 0.1164 data_time: 0.0389 memory: 1858 2022/08/08 18:03:18 - mmengine - INFO - Epoch(val) [38][60/194] eta: 0:00:15 time: 0.1142 data_time: 0.0360 memory: 1858 2022/08/08 18:03:20 - mmengine - INFO - Epoch(val) [38][80/194] eta: 0:00:11 time: 0.1016 data_time: 0.0296 memory: 1858 2022/08/08 18:03:23 - mmengine - INFO - Epoch(val) [38][100/194] eta: 0:00:12 time: 0.1357 data_time: 0.0556 memory: 1858 2022/08/08 18:03:25 - mmengine - INFO - Epoch(val) [38][120/194] eta: 0:00:07 time: 0.1053 data_time: 0.0275 memory: 1858 2022/08/08 18:03:27 - mmengine - INFO - Epoch(val) [38][140/194] eta: 0:00:06 time: 0.1216 data_time: 0.0417 memory: 1858 2022/08/08 18:03:29 - mmengine - INFO - Epoch(val) [38][160/194] eta: 0:00:03 time: 0.1024 data_time: 0.0255 memory: 1858 2022/08/08 18:03:31 - mmengine - INFO - Epoch(val) [38][180/194] eta: 0:00:01 time: 0.0796 data_time: 0.0228 memory: 1858 2022/08/08 18:03:33 - mmengine - INFO - Epoch(val) [38][194/194] acc/top1: 0.4814 acc/top5: 0.7643 acc/mean1: 0.4100 2022/08/08 18:03:33 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 18:03:38 - mmengine - INFO - Epoch(train) [39][20/1320] lr: 2.0000e-04 eta: 1:00:01 time: 0.2615 data_time: 0.0500 memory: 11037 grad_norm: 11.0329 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2053 loss: 1.2053 2022/08/08 18:03:42 - mmengine - INFO - Epoch(train) [39][40/1320] lr: 2.0000e-04 eta: 0:59:57 time: 0.2247 data_time: 0.0129 memory: 11037 grad_norm: 11.4047 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2419 loss: 1.2419 2022/08/08 18:03:47 - mmengine - INFO - Epoch(train) [39][60/1320] lr: 2.0000e-04 eta: 0:59:52 time: 0.2243 data_time: 0.0133 memory: 11037 grad_norm: 11.0938 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1358 loss: 1.1358 2022/08/08 18:03:51 - mmengine - INFO - Epoch(train) [39][80/1320] lr: 2.0000e-04 eta: 0:59:47 time: 0.2280 data_time: 0.0152 memory: 11037 grad_norm: 10.9589 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1680 loss: 1.1680 2022/08/08 18:03:56 - mmengine - INFO - Epoch(train) [39][100/1320] lr: 2.0000e-04 eta: 0:59:43 time: 0.2242 data_time: 0.0140 memory: 11037 grad_norm: 11.5857 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2639 loss: 1.2639 2022/08/08 18:04:00 - mmengine - INFO - Epoch(train) [39][120/1320] lr: 2.0000e-04 eta: 0:59:38 time: 0.2261 data_time: 0.0159 memory: 11037 grad_norm: 11.2341 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2682 loss: 1.2682 2022/08/08 18:04:05 - mmengine - INFO - Epoch(train) [39][140/1320] lr: 2.0000e-04 eta: 0:59:34 time: 0.2260 data_time: 0.0150 memory: 11037 grad_norm: 11.4037 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1024 loss: 1.1024 2022/08/08 18:04:09 - mmengine - INFO - Epoch(train) [39][160/1320] lr: 2.0000e-04 eta: 0:59:29 time: 0.2258 data_time: 0.0130 memory: 11037 grad_norm: 11.4437 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2523 loss: 1.2523 2022/08/08 18:04:14 - mmengine - INFO - Epoch(train) [39][180/1320] lr: 2.0000e-04 eta: 0:59:25 time: 0.2294 data_time: 0.0135 memory: 11037 grad_norm: 11.3593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3753 loss: 1.3753 2022/08/08 18:04:19 - mmengine - INFO - Epoch(train) [39][200/1320] lr: 2.0000e-04 eta: 0:59:20 time: 0.2259 data_time: 0.0144 memory: 11037 grad_norm: 11.3173 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2715 loss: 1.2715 2022/08/08 18:04:23 - mmengine - INFO - Epoch(train) [39][220/1320] lr: 2.0000e-04 eta: 0:59:16 time: 0.2249 data_time: 0.0138 memory: 11037 grad_norm: 11.4401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1254 loss: 1.1254 2022/08/08 18:04:28 - mmengine - INFO - Epoch(train) [39][240/1320] lr: 2.0000e-04 eta: 0:59:11 time: 0.2250 data_time: 0.0151 memory: 11037 grad_norm: 11.0000 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0630 loss: 1.0630 2022/08/08 18:04:32 - mmengine - INFO - Epoch(train) [39][260/1320] lr: 2.0000e-04 eta: 0:59:06 time: 0.2310 data_time: 0.0148 memory: 11037 grad_norm: 11.1368 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1557 loss: 1.1557 2022/08/08 18:04:37 - mmengine - INFO - Epoch(train) [39][280/1320] lr: 2.0000e-04 eta: 0:59:02 time: 0.2249 data_time: 0.0158 memory: 11037 grad_norm: 11.6138 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1670 loss: 1.1670 2022/08/08 18:04:41 - mmengine - INFO - Epoch(train) [39][300/1320] lr: 2.0000e-04 eta: 0:58:57 time: 0.2260 data_time: 0.0126 memory: 11037 grad_norm: 11.6427 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.3766 loss: 1.3766 2022/08/08 18:04:46 - mmengine - INFO - Epoch(train) [39][320/1320] lr: 2.0000e-04 eta: 0:58:53 time: 0.2251 data_time: 0.0142 memory: 11037 grad_norm: 11.4868 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2076 loss: 1.2076 2022/08/08 18:04:50 - mmengine - INFO - Epoch(train) [39][340/1320] lr: 2.0000e-04 eta: 0:58:48 time: 0.2251 data_time: 0.0127 memory: 11037 grad_norm: 11.4054 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0763 loss: 1.0763 2022/08/08 18:04:55 - mmengine - INFO - Epoch(train) [39][360/1320] lr: 2.0000e-04 eta: 0:58:44 time: 0.2245 data_time: 0.0129 memory: 11037 grad_norm: 11.3481 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.3227 loss: 1.3227 2022/08/08 18:04:59 - mmengine - INFO - Epoch(train) [39][380/1320] lr: 2.0000e-04 eta: 0:58:39 time: 0.2263 data_time: 0.0145 memory: 11037 grad_norm: 11.1349 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.2490 loss: 1.2490 2022/08/08 18:05:04 - mmengine - INFO - Epoch(train) [39][400/1320] lr: 2.0000e-04 eta: 0:58:34 time: 0.2296 data_time: 0.0132 memory: 11037 grad_norm: 11.6919 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3480 loss: 1.3480 2022/08/08 18:05:08 - mmengine - INFO - Epoch(train) [39][420/1320] lr: 2.0000e-04 eta: 0:58:30 time: 0.2258 data_time: 0.0137 memory: 11037 grad_norm: 11.5676 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2955 loss: 1.2955 2022/08/08 18:05:13 - mmengine - INFO - Epoch(train) [39][440/1320] lr: 2.0000e-04 eta: 0:58:25 time: 0.2321 data_time: 0.0166 memory: 11037 grad_norm: 11.0955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2668 loss: 1.2668 2022/08/08 18:05:17 - mmengine - INFO - Epoch(train) [39][460/1320] lr: 2.0000e-04 eta: 0:58:21 time: 0.2245 data_time: 0.0131 memory: 11037 grad_norm: 11.1999 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2851 loss: 1.2851 2022/08/08 18:05:22 - mmengine - INFO - Epoch(train) [39][480/1320] lr: 2.0000e-04 eta: 0:58:16 time: 0.2271 data_time: 0.0122 memory: 11037 grad_norm: 11.1898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1431 loss: 1.1431 2022/08/08 18:05:27 - mmengine - INFO - Epoch(train) [39][500/1320] lr: 2.0000e-04 eta: 0:58:12 time: 0.2258 data_time: 0.0146 memory: 11037 grad_norm: 11.4801 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.2541 loss: 1.2541 2022/08/08 18:05:31 - mmengine - INFO - Epoch(train) [39][520/1320] lr: 2.0000e-04 eta: 0:58:07 time: 0.2250 data_time: 0.0136 memory: 11037 grad_norm: 11.3715 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1330 loss: 1.1330 2022/08/08 18:05:36 - mmengine - INFO - Epoch(train) [39][540/1320] lr: 2.0000e-04 eta: 0:58:03 time: 0.2244 data_time: 0.0135 memory: 11037 grad_norm: 11.4054 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2627 loss: 1.2627 2022/08/08 18:05:40 - mmengine - INFO - Epoch(train) [39][560/1320] lr: 2.0000e-04 eta: 0:57:58 time: 0.2289 data_time: 0.0152 memory: 11037 grad_norm: 11.2064 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.1708 loss: 1.1708 2022/08/08 18:05:45 - mmengine - INFO - Epoch(train) [39][580/1320] lr: 2.0000e-04 eta: 0:57:53 time: 0.2251 data_time: 0.0142 memory: 11037 grad_norm: 11.7119 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2911 loss: 1.2911 2022/08/08 18:05:49 - mmengine - INFO - Epoch(train) [39][600/1320] lr: 2.0000e-04 eta: 0:57:49 time: 0.2242 data_time: 0.0116 memory: 11037 grad_norm: 11.1982 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1769 loss: 1.1769 2022/08/08 18:05:54 - mmengine - INFO - Epoch(train) [39][620/1320] lr: 2.0000e-04 eta: 0:57:44 time: 0.2260 data_time: 0.0145 memory: 11037 grad_norm: 11.4101 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3177 loss: 1.3177 2022/08/08 18:05:58 - mmengine - INFO - Epoch(train) [39][640/1320] lr: 2.0000e-04 eta: 0:57:40 time: 0.2244 data_time: 0.0128 memory: 11037 grad_norm: 11.3534 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1977 loss: 1.1977 2022/08/08 18:06:03 - mmengine - INFO - Epoch(train) [39][660/1320] lr: 2.0000e-04 eta: 0:57:35 time: 0.2296 data_time: 0.0147 memory: 11037 grad_norm: 11.3585 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4845 loss: 1.4845 2022/08/08 18:06:07 - mmengine - INFO - Epoch(train) [39][680/1320] lr: 2.0000e-04 eta: 0:57:31 time: 0.2277 data_time: 0.0167 memory: 11037 grad_norm: 11.3045 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2973 loss: 1.2973 2022/08/08 18:06:12 - mmengine - INFO - Epoch(train) [39][700/1320] lr: 2.0000e-04 eta: 0:57:26 time: 0.2248 data_time: 0.0135 memory: 11037 grad_norm: 11.3545 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2918 loss: 1.2918 2022/08/08 18:06:16 - mmengine - INFO - Epoch(train) [39][720/1320] lr: 2.0000e-04 eta: 0:57:21 time: 0.2250 data_time: 0.0121 memory: 11037 grad_norm: 11.4025 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2306 loss: 1.2306 2022/08/08 18:06:21 - mmengine - INFO - Epoch(train) [39][740/1320] lr: 2.0000e-04 eta: 0:57:17 time: 0.2293 data_time: 0.0159 memory: 11037 grad_norm: 11.3001 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2173 loss: 1.2173 2022/08/08 18:06:25 - mmengine - INFO - Epoch(train) [39][760/1320] lr: 2.0000e-04 eta: 0:57:12 time: 0.2245 data_time: 0.0135 memory: 11037 grad_norm: 11.5707 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2818 loss: 1.2818 2022/08/08 18:06:30 - mmengine - INFO - Epoch(train) [39][780/1320] lr: 2.0000e-04 eta: 0:57:08 time: 0.2270 data_time: 0.0132 memory: 11037 grad_norm: 11.1382 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2493 loss: 1.2493 2022/08/08 18:06:34 - mmengine - INFO - Epoch(train) [39][800/1320] lr: 2.0000e-04 eta: 0:57:03 time: 0.2263 data_time: 0.0150 memory: 11037 grad_norm: 11.0533 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2809 loss: 1.2809 2022/08/08 18:06:39 - mmengine - INFO - Epoch(train) [39][820/1320] lr: 2.0000e-04 eta: 0:56:59 time: 0.2257 data_time: 0.0143 memory: 11037 grad_norm: 11.5433 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2576 loss: 1.2576 2022/08/08 18:06:43 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:06:43 - mmengine - INFO - Epoch(train) [39][840/1320] lr: 2.0000e-04 eta: 0:56:54 time: 0.2243 data_time: 0.0134 memory: 11037 grad_norm: 11.4844 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1099 loss: 1.1099 2022/08/08 18:06:48 - mmengine - INFO - Epoch(train) [39][860/1320] lr: 2.0000e-04 eta: 0:56:50 time: 0.2256 data_time: 0.0141 memory: 11037 grad_norm: 11.3468 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4448 loss: 1.4448 2022/08/08 18:06:53 - mmengine - INFO - Epoch(train) [39][880/1320] lr: 2.0000e-04 eta: 0:56:45 time: 0.2321 data_time: 0.0137 memory: 11037 grad_norm: 11.3923 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1014 loss: 1.1014 2022/08/08 18:06:57 - mmengine - INFO - Epoch(train) [39][900/1320] lr: 2.0000e-04 eta: 0:56:40 time: 0.2230 data_time: 0.0136 memory: 11037 grad_norm: 11.2960 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0650 loss: 1.0650 2022/08/08 18:07:02 - mmengine - INFO - Epoch(train) [39][920/1320] lr: 2.0000e-04 eta: 0:56:36 time: 0.2259 data_time: 0.0141 memory: 11037 grad_norm: 11.1596 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1197 loss: 1.1197 2022/08/08 18:07:06 - mmengine - INFO - Epoch(train) [39][940/1320] lr: 2.0000e-04 eta: 0:56:31 time: 0.2236 data_time: 0.0129 memory: 11037 grad_norm: 11.1442 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3485 loss: 1.3485 2022/08/08 18:07:11 - mmengine - INFO - Epoch(train) [39][960/1320] lr: 2.0000e-04 eta: 0:56:27 time: 0.2304 data_time: 0.0157 memory: 11037 grad_norm: 10.8515 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2082 loss: 1.2082 2022/08/08 18:07:15 - mmengine - INFO - Epoch(train) [39][980/1320] lr: 2.0000e-04 eta: 0:56:22 time: 0.2255 data_time: 0.0169 memory: 11037 grad_norm: 11.3404 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2093 loss: 1.2093 2022/08/08 18:07:20 - mmengine - INFO - Epoch(train) [39][1000/1320] lr: 2.0000e-04 eta: 0:56:18 time: 0.2234 data_time: 0.0130 memory: 11037 grad_norm: 11.0569 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2710 loss: 1.2710 2022/08/08 18:07:24 - mmengine - INFO - Epoch(train) [39][1020/1320] lr: 2.0000e-04 eta: 0:56:13 time: 0.2243 data_time: 0.0113 memory: 11037 grad_norm: 11.3837 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3427 loss: 1.3427 2022/08/08 18:07:29 - mmengine - INFO - Epoch(train) [39][1040/1320] lr: 2.0000e-04 eta: 0:56:09 time: 0.2276 data_time: 0.0192 memory: 11037 grad_norm: 11.4254 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2617 loss: 1.2617 2022/08/08 18:07:33 - mmengine - INFO - Epoch(train) [39][1060/1320] lr: 2.0000e-04 eta: 0:56:04 time: 0.2275 data_time: 0.0136 memory: 11037 grad_norm: 11.4714 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1085 loss: 1.1085 2022/08/08 18:07:38 - mmengine - INFO - Epoch(train) [39][1080/1320] lr: 2.0000e-04 eta: 0:55:59 time: 0.2234 data_time: 0.0120 memory: 11037 grad_norm: 11.2747 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1443 loss: 1.1443 2022/08/08 18:07:42 - mmengine - INFO - Epoch(train) [39][1100/1320] lr: 2.0000e-04 eta: 0:55:55 time: 0.2271 data_time: 0.0153 memory: 11037 grad_norm: 11.5215 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3270 loss: 1.3270 2022/08/08 18:07:47 - mmengine - INFO - Epoch(train) [39][1120/1320] lr: 2.0000e-04 eta: 0:55:50 time: 0.2241 data_time: 0.0146 memory: 11037 grad_norm: 11.3698 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2351 loss: 1.2351 2022/08/08 18:07:51 - mmengine - INFO - Epoch(train) [39][1140/1320] lr: 2.0000e-04 eta: 0:55:46 time: 0.2272 data_time: 0.0145 memory: 11037 grad_norm: 11.8115 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2633 loss: 1.2633 2022/08/08 18:07:56 - mmengine - INFO - Epoch(train) [39][1160/1320] lr: 2.0000e-04 eta: 0:55:41 time: 0.2251 data_time: 0.0139 memory: 11037 grad_norm: 11.6712 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2721 loss: 1.2721 2022/08/08 18:08:00 - mmengine - INFO - Epoch(train) [39][1180/1320] lr: 2.0000e-04 eta: 0:55:37 time: 0.2263 data_time: 0.0127 memory: 11037 grad_norm: 11.7803 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2225 loss: 1.2225 2022/08/08 18:08:05 - mmengine - INFO - Epoch(train) [39][1200/1320] lr: 2.0000e-04 eta: 0:55:32 time: 0.2252 data_time: 0.0127 memory: 11037 grad_norm: 11.3410 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3778 loss: 1.3778 2022/08/08 18:08:09 - mmengine - INFO - Epoch(train) [39][1220/1320] lr: 2.0000e-04 eta: 0:55:27 time: 0.2266 data_time: 0.0150 memory: 11037 grad_norm: 11.1711 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1542 loss: 1.1542 2022/08/08 18:08:14 - mmengine - INFO - Epoch(train) [39][1240/1320] lr: 2.0000e-04 eta: 0:55:23 time: 0.2274 data_time: 0.0127 memory: 11037 grad_norm: 11.6245 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1928 loss: 1.1928 2022/08/08 18:08:18 - mmengine - INFO - Epoch(train) [39][1260/1320] lr: 2.0000e-04 eta: 0:55:18 time: 0.2250 data_time: 0.0137 memory: 11037 grad_norm: 11.3812 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0277 loss: 1.0277 2022/08/08 18:08:23 - mmengine - INFO - Epoch(train) [39][1280/1320] lr: 2.0000e-04 eta: 0:55:14 time: 0.2257 data_time: 0.0141 memory: 11037 grad_norm: 11.4908 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1460 loss: 1.1460 2022/08/08 18:08:28 - mmengine - INFO - Epoch(train) [39][1300/1320] lr: 2.0000e-04 eta: 0:55:09 time: 0.2251 data_time: 0.0139 memory: 11037 grad_norm: 11.6309 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2341 loss: 1.2341 2022/08/08 18:08:32 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:08:32 - mmengine - INFO - Epoch(train) [39][1320/1320] lr: 2.0000e-04 eta: 0:55:05 time: 0.2189 data_time: 0.0139 memory: 11037 grad_norm: 11.4114 top1_acc: 0.5455 top5_acc: 0.8182 loss_cls: 1.2422 loss: 1.2422 2022/08/08 18:08:32 - mmengine - INFO - Saving checkpoint at 39 epochs 2022/08/08 18:08:38 - mmengine - INFO - Epoch(val) [39][20/194] eta: 0:00:28 time: 0.1646 data_time: 0.0881 memory: 1858 2022/08/08 18:08:40 - mmengine - INFO - Epoch(val) [39][40/194] eta: 0:00:16 time: 0.1092 data_time: 0.0314 memory: 1858 2022/08/08 18:08:42 - mmengine - INFO - Epoch(val) [39][60/194] eta: 0:00:15 time: 0.1159 data_time: 0.0372 memory: 1858 2022/08/08 18:08:44 - mmengine - INFO - Epoch(val) [39][80/194] eta: 0:00:12 time: 0.1068 data_time: 0.0320 memory: 1858 2022/08/08 18:08:47 - mmengine - INFO - Epoch(val) [39][100/194] eta: 0:00:11 time: 0.1237 data_time: 0.0438 memory: 1858 2022/08/08 18:08:49 - mmengine - INFO - Epoch(val) [39][120/194] eta: 0:00:08 time: 0.1093 data_time: 0.0297 memory: 1858 2022/08/08 18:08:51 - mmengine - INFO - Epoch(val) [39][140/194] eta: 0:00:07 time: 0.1310 data_time: 0.0553 memory: 1858 2022/08/08 18:08:53 - mmengine - INFO - Epoch(val) [39][160/194] eta: 0:00:03 time: 0.1022 data_time: 0.0234 memory: 1858 2022/08/08 18:08:55 - mmengine - INFO - Epoch(val) [39][180/194] eta: 0:00:01 time: 0.0824 data_time: 0.0223 memory: 1858 2022/08/08 18:08:57 - mmengine - INFO - Epoch(val) [39][194/194] acc/top1: 0.4829 acc/top5: 0.7615 acc/mean1: 0.4095 2022/08/08 18:08:57 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 18:09:02 - mmengine - INFO - Epoch(train) [40][20/1320] lr: 2.0000e-04 eta: 0:55:00 time: 0.2677 data_time: 0.0533 memory: 11037 grad_norm: 11.0948 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3249 loss: 1.3249 2022/08/08 18:09:07 - mmengine - INFO - Epoch(train) [40][40/1320] lr: 2.0000e-04 eta: 0:54:56 time: 0.2247 data_time: 0.0133 memory: 11037 grad_norm: 11.1465 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2679 loss: 1.2679 2022/08/08 18:09:11 - mmengine - INFO - Epoch(train) [40][60/1320] lr: 2.0000e-04 eta: 0:54:51 time: 0.2287 data_time: 0.0146 memory: 11037 grad_norm: 11.7664 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2677 loss: 1.2677 2022/08/08 18:09:16 - mmengine - INFO - Epoch(train) [40][80/1320] lr: 2.0000e-04 eta: 0:54:47 time: 0.2251 data_time: 0.0143 memory: 11037 grad_norm: 10.9585 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0280 loss: 1.0280 2022/08/08 18:09:20 - mmengine - INFO - Epoch(train) [40][100/1320] lr: 2.0000e-04 eta: 0:54:42 time: 0.2243 data_time: 0.0149 memory: 11037 grad_norm: 11.3074 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1631 loss: 1.1631 2022/08/08 18:09:25 - mmengine - INFO - Epoch(train) [40][120/1320] lr: 2.0000e-04 eta: 0:54:37 time: 0.2247 data_time: 0.0139 memory: 11037 grad_norm: 11.4576 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3281 loss: 1.3281 2022/08/08 18:09:29 - mmengine - INFO - Epoch(train) [40][140/1320] lr: 2.0000e-04 eta: 0:54:33 time: 0.2256 data_time: 0.0149 memory: 11037 grad_norm: 10.9488 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1611 loss: 1.1611 2022/08/08 18:09:34 - mmengine - INFO - Epoch(train) [40][160/1320] lr: 2.0000e-04 eta: 0:54:28 time: 0.2290 data_time: 0.0147 memory: 11037 grad_norm: 11.1786 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0910 loss: 1.0910 2022/08/08 18:09:38 - mmengine - INFO - Epoch(train) [40][180/1320] lr: 2.0000e-04 eta: 0:54:24 time: 0.2250 data_time: 0.0151 memory: 11037 grad_norm: 11.4345 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1613 loss: 1.1613 2022/08/08 18:09:43 - mmengine - INFO - Epoch(train) [40][200/1320] lr: 2.0000e-04 eta: 0:54:19 time: 0.2254 data_time: 0.0143 memory: 11037 grad_norm: 10.9308 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0872 loss: 1.0872 2022/08/08 18:09:47 - mmengine - INFO - Epoch(train) [40][220/1320] lr: 2.0000e-04 eta: 0:54:15 time: 0.2250 data_time: 0.0149 memory: 11037 grad_norm: 11.5679 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3499 loss: 1.3499 2022/08/08 18:09:52 - mmengine - INFO - Epoch(train) [40][240/1320] lr: 2.0000e-04 eta: 0:54:10 time: 0.2352 data_time: 0.0150 memory: 11037 grad_norm: 11.1953 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4073 loss: 1.4073 2022/08/08 18:09:57 - mmengine - INFO - Epoch(train) [40][260/1320] lr: 2.0000e-04 eta: 0:54:06 time: 0.2255 data_time: 0.0147 memory: 11037 grad_norm: 11.1123 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2533 loss: 1.2533 2022/08/08 18:10:01 - mmengine - INFO - Epoch(train) [40][280/1320] lr: 2.0000e-04 eta: 0:54:01 time: 0.2231 data_time: 0.0125 memory: 11037 grad_norm: 11.4944 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1973 loss: 1.1973 2022/08/08 18:10:06 - mmengine - INFO - Epoch(train) [40][300/1320] lr: 2.0000e-04 eta: 0:53:56 time: 0.2246 data_time: 0.0137 memory: 11037 grad_norm: 11.7395 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4621 loss: 1.4621 2022/08/08 18:10:10 - mmengine - INFO - Epoch(train) [40][320/1320] lr: 2.0000e-04 eta: 0:53:52 time: 0.2306 data_time: 0.0151 memory: 11037 grad_norm: 11.1742 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0936 loss: 1.0936 2022/08/08 18:10:15 - mmengine - INFO - Epoch(train) [40][340/1320] lr: 2.0000e-04 eta: 0:53:47 time: 0.2343 data_time: 0.0149 memory: 11037 grad_norm: 11.2586 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1767 loss: 1.1767 2022/08/08 18:10:19 - mmengine - INFO - Epoch(train) [40][360/1320] lr: 2.0000e-04 eta: 0:53:43 time: 0.2249 data_time: 0.0135 memory: 11037 grad_norm: 11.5870 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0919 loss: 1.0919 2022/08/08 18:10:24 - mmengine - INFO - Epoch(train) [40][380/1320] lr: 2.0000e-04 eta: 0:53:38 time: 0.2262 data_time: 0.0143 memory: 11037 grad_norm: 11.1102 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0700 loss: 1.0700 2022/08/08 18:10:28 - mmengine - INFO - Epoch(train) [40][400/1320] lr: 2.0000e-04 eta: 0:53:34 time: 0.2267 data_time: 0.0137 memory: 11037 grad_norm: 11.4363 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1956 loss: 1.1956 2022/08/08 18:10:33 - mmengine - INFO - Epoch(train) [40][420/1320] lr: 2.0000e-04 eta: 0:53:29 time: 0.2266 data_time: 0.0165 memory: 11037 grad_norm: 11.3602 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3282 loss: 1.3282 2022/08/08 18:10:38 - mmengine - INFO - Epoch(train) [40][440/1320] lr: 2.0000e-04 eta: 0:53:25 time: 0.2251 data_time: 0.0140 memory: 11037 grad_norm: 11.1964 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0314 loss: 1.0314 2022/08/08 18:10:42 - mmengine - INFO - Epoch(train) [40][460/1320] lr: 2.0000e-04 eta: 0:53:20 time: 0.2408 data_time: 0.0152 memory: 11037 grad_norm: 11.3896 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3697 loss: 1.3697 2022/08/08 18:10:47 - mmengine - INFO - Epoch(train) [40][480/1320] lr: 2.0000e-04 eta: 0:53:15 time: 0.2247 data_time: 0.0133 memory: 11037 grad_norm: 11.4009 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1905 loss: 1.1905 2022/08/08 18:10:51 - mmengine - INFO - Epoch(train) [40][500/1320] lr: 2.0000e-04 eta: 0:53:11 time: 0.2319 data_time: 0.0156 memory: 11037 grad_norm: 11.5187 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3172 loss: 1.3172 2022/08/08 18:10:56 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:10:56 - mmengine - INFO - Epoch(train) [40][520/1320] lr: 2.0000e-04 eta: 0:53:06 time: 0.2248 data_time: 0.0129 memory: 11037 grad_norm: 11.0646 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1605 loss: 1.1605 2022/08/08 18:11:00 - mmengine - INFO - Epoch(train) [40][540/1320] lr: 2.0000e-04 eta: 0:53:02 time: 0.2239 data_time: 0.0130 memory: 11037 grad_norm: 11.3928 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3528 loss: 1.3528 2022/08/08 18:11:05 - mmengine - INFO - Epoch(train) [40][560/1320] lr: 2.0000e-04 eta: 0:52:57 time: 0.2264 data_time: 0.0146 memory: 11037 grad_norm: 11.1464 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2877 loss: 1.2877 2022/08/08 18:11:09 - mmengine - INFO - Epoch(train) [40][580/1320] lr: 2.0000e-04 eta: 0:52:53 time: 0.2234 data_time: 0.0140 memory: 11037 grad_norm: 11.4462 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.2728 loss: 1.2728 2022/08/08 18:11:14 - mmengine - INFO - Epoch(train) [40][600/1320] lr: 2.0000e-04 eta: 0:52:48 time: 0.2320 data_time: 0.0143 memory: 11037 grad_norm: 11.5156 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0752 loss: 1.0752 2022/08/08 18:11:19 - mmengine - INFO - Epoch(train) [40][620/1320] lr: 2.0000e-04 eta: 0:52:44 time: 0.2250 data_time: 0.0141 memory: 11037 grad_norm: 11.5225 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3559 loss: 1.3559 2022/08/08 18:11:23 - mmengine - INFO - Epoch(train) [40][640/1320] lr: 2.0000e-04 eta: 0:52:39 time: 0.2235 data_time: 0.0121 memory: 11037 grad_norm: 11.0871 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1467 loss: 1.1467 2022/08/08 18:11:28 - mmengine - INFO - Epoch(train) [40][660/1320] lr: 2.0000e-04 eta: 0:52:34 time: 0.2272 data_time: 0.0157 memory: 11037 grad_norm: 11.5352 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2951 loss: 1.2951 2022/08/08 18:11:32 - mmengine - INFO - Epoch(train) [40][680/1320] lr: 2.0000e-04 eta: 0:52:30 time: 0.2324 data_time: 0.0161 memory: 11037 grad_norm: 11.6161 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1434 loss: 1.1434 2022/08/08 18:11:37 - mmengine - INFO - Epoch(train) [40][700/1320] lr: 2.0000e-04 eta: 0:52:25 time: 0.2245 data_time: 0.0122 memory: 11037 grad_norm: 11.3754 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0871 loss: 1.0871 2022/08/08 18:11:41 - mmengine - INFO - Epoch(train) [40][720/1320] lr: 2.0000e-04 eta: 0:52:21 time: 0.2250 data_time: 0.0136 memory: 11037 grad_norm: 11.6254 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1747 loss: 1.1747 2022/08/08 18:11:46 - mmengine - INFO - Epoch(train) [40][740/1320] lr: 2.0000e-04 eta: 0:52:16 time: 0.2269 data_time: 0.0152 memory: 11037 grad_norm: 11.6193 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3749 loss: 1.3749 2022/08/08 18:11:50 - mmengine - INFO - Epoch(train) [40][760/1320] lr: 2.0000e-04 eta: 0:52:12 time: 0.2281 data_time: 0.0135 memory: 11037 grad_norm: 10.9446 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2681 loss: 1.2681 2022/08/08 18:11:55 - mmengine - INFO - Epoch(train) [40][780/1320] lr: 2.0000e-04 eta: 0:52:07 time: 0.2304 data_time: 0.0118 memory: 11037 grad_norm: 11.3832 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1703 loss: 1.1703 2022/08/08 18:12:00 - mmengine - INFO - Epoch(train) [40][800/1320] lr: 2.0000e-04 eta: 0:52:03 time: 0.2246 data_time: 0.0142 memory: 11037 grad_norm: 11.5234 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4302 loss: 1.4302 2022/08/08 18:12:04 - mmengine - INFO - Epoch(train) [40][820/1320] lr: 2.0000e-04 eta: 0:51:58 time: 0.2240 data_time: 0.0137 memory: 11037 grad_norm: 11.0773 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1919 loss: 1.1919 2022/08/08 18:12:09 - mmengine - INFO - Epoch(train) [40][840/1320] lr: 2.0000e-04 eta: 0:51:53 time: 0.2294 data_time: 0.0155 memory: 11037 grad_norm: 11.7195 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2290 loss: 1.2290 2022/08/08 18:12:13 - mmengine - INFO - Epoch(train) [40][860/1320] lr: 2.0000e-04 eta: 0:51:49 time: 0.2249 data_time: 0.0147 memory: 11037 grad_norm: 11.3531 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2665 loss: 1.2665 2022/08/08 18:12:18 - mmengine - INFO - Epoch(train) [40][880/1320] lr: 2.0000e-04 eta: 0:51:44 time: 0.2248 data_time: 0.0132 memory: 11037 grad_norm: 11.2261 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1751 loss: 1.1751 2022/08/08 18:12:22 - mmengine - INFO - Epoch(train) [40][900/1320] lr: 2.0000e-04 eta: 0:51:40 time: 0.2273 data_time: 0.0149 memory: 11037 grad_norm: 11.3140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2292 loss: 1.2292 2022/08/08 18:12:27 - mmengine - INFO - Epoch(train) [40][920/1320] lr: 2.0000e-04 eta: 0:51:35 time: 0.2253 data_time: 0.0149 memory: 11037 grad_norm: 11.1613 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2019 loss: 1.2019 2022/08/08 18:12:31 - mmengine - INFO - Epoch(train) [40][940/1320] lr: 2.0000e-04 eta: 0:51:31 time: 0.2233 data_time: 0.0142 memory: 11037 grad_norm: 11.4597 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2302 loss: 1.2302 2022/08/08 18:12:36 - mmengine - INFO - Epoch(train) [40][960/1320] lr: 2.0000e-04 eta: 0:51:26 time: 0.2242 data_time: 0.0138 memory: 11037 grad_norm: 11.2123 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2933 loss: 1.2933 2022/08/08 18:12:40 - mmengine - INFO - Epoch(train) [40][980/1320] lr: 2.0000e-04 eta: 0:51:22 time: 0.2275 data_time: 0.0160 memory: 11037 grad_norm: 11.2931 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3148 loss: 1.3148 2022/08/08 18:12:45 - mmengine - INFO - Epoch(train) [40][1000/1320] lr: 2.0000e-04 eta: 0:51:17 time: 0.2252 data_time: 0.0132 memory: 11037 grad_norm: 11.6480 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3417 loss: 1.3417 2022/08/08 18:12:49 - mmengine - INFO - Epoch(train) [40][1020/1320] lr: 2.0000e-04 eta: 0:51:12 time: 0.2247 data_time: 0.0136 memory: 11037 grad_norm: 11.5093 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2876 loss: 1.2876 2022/08/08 18:12:54 - mmengine - INFO - Epoch(train) [40][1040/1320] lr: 2.0000e-04 eta: 0:51:08 time: 0.2293 data_time: 0.0156 memory: 11037 grad_norm: 11.3762 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3390 loss: 1.3390 2022/08/08 18:12:58 - mmengine - INFO - Epoch(train) [40][1060/1320] lr: 2.0000e-04 eta: 0:51:03 time: 0.2240 data_time: 0.0135 memory: 11037 grad_norm: 11.6505 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2637 loss: 1.2637 2022/08/08 18:13:03 - mmengine - INFO - Epoch(train) [40][1080/1320] lr: 2.0000e-04 eta: 0:50:59 time: 0.2348 data_time: 0.0139 memory: 11037 grad_norm: 11.5048 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1582 loss: 1.1582 2022/08/08 18:13:07 - mmengine - INFO - Epoch(train) [40][1100/1320] lr: 2.0000e-04 eta: 0:50:54 time: 0.2261 data_time: 0.0140 memory: 11037 grad_norm: 10.9881 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0402 loss: 1.0402 2022/08/08 18:13:12 - mmengine - INFO - Epoch(train) [40][1120/1320] lr: 2.0000e-04 eta: 0:50:50 time: 0.2259 data_time: 0.0134 memory: 11037 grad_norm: 11.7150 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0829 loss: 1.0829 2022/08/08 18:13:16 - mmengine - INFO - Epoch(train) [40][1140/1320] lr: 2.0000e-04 eta: 0:50:45 time: 0.2250 data_time: 0.0149 memory: 11037 grad_norm: 11.6994 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2420 loss: 1.2420 2022/08/08 18:13:21 - mmengine - INFO - Epoch(train) [40][1160/1320] lr: 2.0000e-04 eta: 0:50:41 time: 0.2281 data_time: 0.0167 memory: 11037 grad_norm: 11.0235 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0381 loss: 1.0381 2022/08/08 18:13:26 - mmengine - INFO - Epoch(train) [40][1180/1320] lr: 2.0000e-04 eta: 0:50:36 time: 0.2238 data_time: 0.0131 memory: 11037 grad_norm: 11.7845 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1914 loss: 1.1914 2022/08/08 18:13:30 - mmengine - INFO - Epoch(train) [40][1200/1320] lr: 2.0000e-04 eta: 0:50:31 time: 0.2248 data_time: 0.0129 memory: 11037 grad_norm: 11.3949 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2025 loss: 1.2025 2022/08/08 18:13:35 - mmengine - INFO - Epoch(train) [40][1220/1320] lr: 2.0000e-04 eta: 0:50:27 time: 0.2267 data_time: 0.0143 memory: 11037 grad_norm: 11.3578 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1943 loss: 1.1943 2022/08/08 18:13:39 - mmengine - INFO - Epoch(train) [40][1240/1320] lr: 2.0000e-04 eta: 0:50:22 time: 0.2255 data_time: 0.0155 memory: 11037 grad_norm: 11.4033 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2835 loss: 1.2835 2022/08/08 18:13:44 - mmengine - INFO - Epoch(train) [40][1260/1320] lr: 2.0000e-04 eta: 0:50:18 time: 0.2279 data_time: 0.0131 memory: 11037 grad_norm: 11.0925 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0357 loss: 1.0357 2022/08/08 18:13:48 - mmengine - INFO - Epoch(train) [40][1280/1320] lr: 2.0000e-04 eta: 0:50:13 time: 0.2281 data_time: 0.0155 memory: 11037 grad_norm: 11.5465 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2208 loss: 1.2208 2022/08/08 18:13:53 - mmengine - INFO - Epoch(train) [40][1300/1320] lr: 2.0000e-04 eta: 0:50:09 time: 0.2251 data_time: 0.0144 memory: 11037 grad_norm: 11.6475 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0943 loss: 1.0943 2022/08/08 18:13:57 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:13:57 - mmengine - INFO - Epoch(train) [40][1320/1320] lr: 2.0000e-04 eta: 0:50:04 time: 0.2150 data_time: 0.0122 memory: 11037 grad_norm: 11.7216 top1_acc: 0.5455 top5_acc: 1.0000 loss_cls: 1.4343 loss: 1.4343 2022/08/08 18:13:57 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/08/08 18:14:03 - mmengine - INFO - Epoch(val) [40][20/194] eta: 0:00:28 time: 0.1637 data_time: 0.0871 memory: 1858 2022/08/08 18:14:05 - mmengine - INFO - Epoch(val) [40][40/194] eta: 0:00:17 time: 0.1158 data_time: 0.0401 memory: 1858 2022/08/08 18:14:08 - mmengine - INFO - Epoch(val) [40][60/194] eta: 0:00:15 time: 0.1176 data_time: 0.0380 memory: 1858 2022/08/08 18:14:10 - mmengine - INFO - Epoch(val) [40][80/194] eta: 0:00:11 time: 0.1009 data_time: 0.0281 memory: 1858 2022/08/08 18:14:12 - mmengine - INFO - Epoch(val) [40][100/194] eta: 0:00:11 time: 0.1222 data_time: 0.0396 memory: 1858 2022/08/08 18:14:14 - mmengine - INFO - Epoch(val) [40][120/194] eta: 0:00:07 time: 0.1029 data_time: 0.0267 memory: 1858 2022/08/08 18:14:17 - mmengine - INFO - Epoch(val) [40][140/194] eta: 0:00:06 time: 0.1254 data_time: 0.0484 memory: 1858 2022/08/08 18:14:19 - mmengine - INFO - Epoch(val) [40][160/194] eta: 0:00:03 time: 0.1033 data_time: 0.0241 memory: 1858 2022/08/08 18:14:20 - mmengine - INFO - Epoch(val) [40][180/194] eta: 0:00:01 time: 0.0749 data_time: 0.0191 memory: 1858 2022/08/08 18:14:22 - mmengine - INFO - Epoch(val) [40][194/194] acc/top1: 0.4808 acc/top5: 0.7652 acc/mean1: 0.4069 2022/08/08 18:14:22 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 18:14:27 - mmengine - INFO - Epoch(train) [41][20/1320] lr: 2.0000e-04 eta: 0:50:00 time: 0.2623 data_time: 0.0464 memory: 11037 grad_norm: 11.4635 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3594 loss: 1.3594 2022/08/08 18:14:32 - mmengine - INFO - Epoch(train) [41][40/1320] lr: 2.0000e-04 eta: 0:49:55 time: 0.2252 data_time: 0.0137 memory: 11037 grad_norm: 11.1495 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2974 loss: 1.2974 2022/08/08 18:14:36 - mmengine - INFO - Epoch(train) [41][60/1320] lr: 2.0000e-04 eta: 0:49:50 time: 0.2252 data_time: 0.0143 memory: 11037 grad_norm: 11.4703 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0674 loss: 1.0674 2022/08/08 18:14:41 - mmengine - INFO - Epoch(train) [41][80/1320] lr: 2.0000e-04 eta: 0:49:46 time: 0.2253 data_time: 0.0145 memory: 11037 grad_norm: 12.0980 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2610 loss: 1.2610 2022/08/08 18:14:45 - mmengine - INFO - Epoch(train) [41][100/1320] lr: 2.0000e-04 eta: 0:49:41 time: 0.2266 data_time: 0.0122 memory: 11037 grad_norm: 11.4602 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1059 loss: 1.1059 2022/08/08 18:14:50 - mmengine - INFO - Epoch(train) [41][120/1320] lr: 2.0000e-04 eta: 0:49:37 time: 0.2254 data_time: 0.0135 memory: 11037 grad_norm: 11.6233 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2943 loss: 1.2943 2022/08/08 18:14:54 - mmengine - INFO - Epoch(train) [41][140/1320] lr: 2.0000e-04 eta: 0:49:32 time: 0.2267 data_time: 0.0147 memory: 11037 grad_norm: 11.0375 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4292 loss: 1.4292 2022/08/08 18:14:59 - mmengine - INFO - Epoch(train) [41][160/1320] lr: 2.0000e-04 eta: 0:49:28 time: 0.2254 data_time: 0.0139 memory: 11037 grad_norm: 11.7850 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0771 loss: 1.0771 2022/08/08 18:15:03 - mmengine - INFO - Epoch(train) [41][180/1320] lr: 2.0000e-04 eta: 0:49:23 time: 0.2365 data_time: 0.0135 memory: 11037 grad_norm: 11.3893 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2915 loss: 1.2915 2022/08/08 18:15:08 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:15:08 - mmengine - INFO - Epoch(train) [41][200/1320] lr: 2.0000e-04 eta: 0:49:19 time: 0.2247 data_time: 0.0142 memory: 11037 grad_norm: 11.6675 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2523 loss: 1.2523 2022/08/08 18:15:13 - mmengine - INFO - Epoch(train) [41][220/1320] lr: 2.0000e-04 eta: 0:49:14 time: 0.2254 data_time: 0.0140 memory: 11037 grad_norm: 11.3434 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1371 loss: 1.1371 2022/08/08 18:15:17 - mmengine - INFO - Epoch(train) [41][240/1320] lr: 2.0000e-04 eta: 0:49:09 time: 0.2250 data_time: 0.0136 memory: 11037 grad_norm: 11.8127 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2063 loss: 1.2063 2022/08/08 18:15:22 - mmengine - INFO - Epoch(train) [41][260/1320] lr: 2.0000e-04 eta: 0:49:05 time: 0.2268 data_time: 0.0133 memory: 11037 grad_norm: 11.5078 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2233 loss: 1.2233 2022/08/08 18:15:26 - mmengine - INFO - Epoch(train) [41][280/1320] lr: 2.0000e-04 eta: 0:49:00 time: 0.2229 data_time: 0.0119 memory: 11037 grad_norm: 11.2678 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3088 loss: 1.3088 2022/08/08 18:15:31 - mmengine - INFO - Epoch(train) [41][300/1320] lr: 2.0000e-04 eta: 0:48:56 time: 0.2248 data_time: 0.0132 memory: 11037 grad_norm: 11.7483 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1092 loss: 1.1092 2022/08/08 18:15:35 - mmengine - INFO - Epoch(train) [41][320/1320] lr: 2.0000e-04 eta: 0:48:51 time: 0.2301 data_time: 0.0151 memory: 11037 grad_norm: 11.3379 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2653 loss: 1.2653 2022/08/08 18:15:40 - mmengine - INFO - Epoch(train) [41][340/1320] lr: 2.0000e-04 eta: 0:48:47 time: 0.2240 data_time: 0.0132 memory: 11037 grad_norm: 11.5382 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1638 loss: 1.1638 2022/08/08 18:15:44 - mmengine - INFO - Epoch(train) [41][360/1320] lr: 2.0000e-04 eta: 0:48:42 time: 0.2252 data_time: 0.0134 memory: 11037 grad_norm: 11.5603 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2075 loss: 1.2075 2022/08/08 18:15:49 - mmengine - INFO - Epoch(train) [41][380/1320] lr: 2.0000e-04 eta: 0:48:38 time: 0.2255 data_time: 0.0146 memory: 11037 grad_norm: 11.3997 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0369 loss: 1.0369 2022/08/08 18:15:53 - mmengine - INFO - Epoch(train) [41][400/1320] lr: 2.0000e-04 eta: 0:48:33 time: 0.2290 data_time: 0.0137 memory: 11037 grad_norm: 11.8012 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3477 loss: 1.3477 2022/08/08 18:15:58 - mmengine - INFO - Epoch(train) [41][420/1320] lr: 2.0000e-04 eta: 0:48:28 time: 0.2255 data_time: 0.0137 memory: 11037 grad_norm: 11.3714 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3272 loss: 1.3272 2022/08/08 18:16:02 - mmengine - INFO - Epoch(train) [41][440/1320] lr: 2.0000e-04 eta: 0:48:24 time: 0.2253 data_time: 0.0140 memory: 11037 grad_norm: 11.4894 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2191 loss: 1.2191 2022/08/08 18:16:07 - mmengine - INFO - Epoch(train) [41][460/1320] lr: 2.0000e-04 eta: 0:48:19 time: 0.2247 data_time: 0.0135 memory: 11037 grad_norm: 12.0592 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3189 loss: 1.3189 2022/08/08 18:16:11 - mmengine - INFO - Epoch(train) [41][480/1320] lr: 2.0000e-04 eta: 0:48:15 time: 0.2358 data_time: 0.0140 memory: 11037 grad_norm: 11.5353 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1866 loss: 1.1866 2022/08/08 18:16:16 - mmengine - INFO - Epoch(train) [41][500/1320] lr: 2.0000e-04 eta: 0:48:10 time: 0.2262 data_time: 0.0151 memory: 11037 grad_norm: 11.1590 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1017 loss: 1.1017 2022/08/08 18:16:21 - mmengine - INFO - Epoch(train) [41][520/1320] lr: 2.0000e-04 eta: 0:48:06 time: 0.2255 data_time: 0.0133 memory: 11037 grad_norm: 11.2982 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2103 loss: 1.2103 2022/08/08 18:16:25 - mmengine - INFO - Epoch(train) [41][540/1320] lr: 2.0000e-04 eta: 0:48:01 time: 0.2247 data_time: 0.0151 memory: 11037 grad_norm: 11.8967 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3414 loss: 1.3414 2022/08/08 18:16:30 - mmengine - INFO - Epoch(train) [41][560/1320] lr: 2.0000e-04 eta: 0:47:57 time: 0.2256 data_time: 0.0145 memory: 11037 grad_norm: 11.6576 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3297 loss: 1.3297 2022/08/08 18:16:34 - mmengine - INFO - Epoch(train) [41][580/1320] lr: 2.0000e-04 eta: 0:47:52 time: 0.2374 data_time: 0.0143 memory: 11037 grad_norm: 11.4416 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2093 loss: 1.2093 2022/08/08 18:16:39 - mmengine - INFO - Epoch(train) [41][600/1320] lr: 2.0000e-04 eta: 0:47:47 time: 0.2253 data_time: 0.0137 memory: 11037 grad_norm: 11.5990 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1809 loss: 1.1809 2022/08/08 18:16:43 - mmengine - INFO - Epoch(train) [41][620/1320] lr: 2.0000e-04 eta: 0:47:43 time: 0.2271 data_time: 0.0151 memory: 11037 grad_norm: 11.4694 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1763 loss: 1.1763 2022/08/08 18:16:48 - mmengine - INFO - Epoch(train) [41][640/1320] lr: 2.0000e-04 eta: 0:47:38 time: 0.2255 data_time: 0.0134 memory: 11037 grad_norm: 11.4797 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1446 loss: 1.1446 2022/08/08 18:16:52 - mmengine - INFO - Epoch(train) [41][660/1320] lr: 2.0000e-04 eta: 0:47:34 time: 0.2277 data_time: 0.0143 memory: 11037 grad_norm: 11.5453 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3030 loss: 1.3030 2022/08/08 18:16:57 - mmengine - INFO - Epoch(train) [41][680/1320] lr: 2.0000e-04 eta: 0:47:29 time: 0.2274 data_time: 0.0151 memory: 11037 grad_norm: 11.7063 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2554 loss: 1.2554 2022/08/08 18:17:01 - mmengine - INFO - Epoch(train) [41][700/1320] lr: 2.0000e-04 eta: 0:47:25 time: 0.2236 data_time: 0.0136 memory: 11037 grad_norm: 11.7429 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2201 loss: 1.2201 2022/08/08 18:17:06 - mmengine - INFO - Epoch(train) [41][720/1320] lr: 2.0000e-04 eta: 0:47:20 time: 0.2250 data_time: 0.0127 memory: 11037 grad_norm: 11.6464 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2005 loss: 1.2005 2022/08/08 18:17:10 - mmengine - INFO - Epoch(train) [41][740/1320] lr: 2.0000e-04 eta: 0:47:16 time: 0.2249 data_time: 0.0146 memory: 11037 grad_norm: 11.7701 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1860 loss: 1.1860 2022/08/08 18:17:15 - mmengine - INFO - Epoch(train) [41][760/1320] lr: 2.0000e-04 eta: 0:47:11 time: 0.2266 data_time: 0.0140 memory: 11037 grad_norm: 11.2947 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1631 loss: 1.1631 2022/08/08 18:17:19 - mmengine - INFO - Epoch(train) [41][780/1320] lr: 2.0000e-04 eta: 0:47:06 time: 0.2239 data_time: 0.0129 memory: 11037 grad_norm: 11.7149 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2863 loss: 1.2863 2022/08/08 18:17:24 - mmengine - INFO - Epoch(train) [41][800/1320] lr: 2.0000e-04 eta: 0:47:02 time: 0.2258 data_time: 0.0145 memory: 11037 grad_norm: 11.8106 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1641 loss: 1.1641 2022/08/08 18:17:28 - mmengine - INFO - Epoch(train) [41][820/1320] lr: 2.0000e-04 eta: 0:46:57 time: 0.2249 data_time: 0.0133 memory: 11037 grad_norm: 11.4280 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2603 loss: 1.2603 2022/08/08 18:17:33 - mmengine - INFO - Epoch(train) [41][840/1320] lr: 2.0000e-04 eta: 0:46:53 time: 0.2314 data_time: 0.0137 memory: 11037 grad_norm: 11.5792 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1394 loss: 1.1394 2022/08/08 18:17:38 - mmengine - INFO - Epoch(train) [41][860/1320] lr: 2.0000e-04 eta: 0:46:48 time: 0.2270 data_time: 0.0160 memory: 11037 grad_norm: 11.3277 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1686 loss: 1.1686 2022/08/08 18:17:42 - mmengine - INFO - Epoch(train) [41][880/1320] lr: 2.0000e-04 eta: 0:46:44 time: 0.2271 data_time: 0.0134 memory: 11037 grad_norm: 11.8694 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9213 loss: 0.9213 2022/08/08 18:17:47 - mmengine - INFO - Epoch(train) [41][900/1320] lr: 2.0000e-04 eta: 0:46:39 time: 0.2247 data_time: 0.0128 memory: 11037 grad_norm: 11.7159 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1416 loss: 1.1416 2022/08/08 18:17:51 - mmengine - INFO - Epoch(train) [41][920/1320] lr: 2.0000e-04 eta: 0:46:35 time: 0.2281 data_time: 0.0168 memory: 11037 grad_norm: 11.5019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1941 loss: 1.1941 2022/08/08 18:17:56 - mmengine - INFO - Epoch(train) [41][940/1320] lr: 2.0000e-04 eta: 0:46:30 time: 0.2246 data_time: 0.0139 memory: 11037 grad_norm: 11.8422 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1800 loss: 1.1800 2022/08/08 18:18:00 - mmengine - INFO - Epoch(train) [41][960/1320] lr: 2.0000e-04 eta: 0:46:25 time: 0.2244 data_time: 0.0124 memory: 11037 grad_norm: 11.5340 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9909 loss: 0.9909 2022/08/08 18:18:05 - mmengine - INFO - Epoch(train) [41][980/1320] lr: 2.0000e-04 eta: 0:46:21 time: 0.2277 data_time: 0.0148 memory: 11037 grad_norm: 11.7200 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3446 loss: 1.3446 2022/08/08 18:18:09 - mmengine - INFO - Epoch(train) [41][1000/1320] lr: 2.0000e-04 eta: 0:46:16 time: 0.2240 data_time: 0.0124 memory: 11037 grad_norm: 11.2153 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1983 loss: 1.1983 2022/08/08 18:18:14 - mmengine - INFO - Epoch(train) [41][1020/1320] lr: 2.0000e-04 eta: 0:46:12 time: 0.2270 data_time: 0.0142 memory: 11037 grad_norm: 11.2924 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3196 loss: 1.3196 2022/08/08 18:18:18 - mmengine - INFO - Epoch(train) [41][1040/1320] lr: 2.0000e-04 eta: 0:46:07 time: 0.2263 data_time: 0.0146 memory: 11037 grad_norm: 11.7842 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1779 loss: 1.1779 2022/08/08 18:18:23 - mmengine - INFO - Epoch(train) [41][1060/1320] lr: 2.0000e-04 eta: 0:46:03 time: 0.2257 data_time: 0.0136 memory: 11037 grad_norm: 11.4007 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2494 loss: 1.2494 2022/08/08 18:18:27 - mmengine - INFO - Epoch(train) [41][1080/1320] lr: 2.0000e-04 eta: 0:45:58 time: 0.2252 data_time: 0.0135 memory: 11037 grad_norm: 12.0044 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1217 loss: 1.1217 2022/08/08 18:18:32 - mmengine - INFO - Epoch(train) [41][1100/1320] lr: 2.0000e-04 eta: 0:45:53 time: 0.2298 data_time: 0.0148 memory: 11037 grad_norm: 11.7283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2290 loss: 1.2290 2022/08/08 18:18:37 - mmengine - INFO - Epoch(train) [41][1120/1320] lr: 2.0000e-04 eta: 0:45:49 time: 0.2254 data_time: 0.0138 memory: 11037 grad_norm: 11.5940 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2144 loss: 1.2144 2022/08/08 18:18:41 - mmengine - INFO - Epoch(train) [41][1140/1320] lr: 2.0000e-04 eta: 0:45:44 time: 0.2256 data_time: 0.0144 memory: 11037 grad_norm: 11.9190 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2414 loss: 1.2414 2022/08/08 18:18:46 - mmengine - INFO - Epoch(train) [41][1160/1320] lr: 2.0000e-04 eta: 0:45:40 time: 0.2265 data_time: 0.0167 memory: 11037 grad_norm: 11.5799 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1797 loss: 1.1797 2022/08/08 18:18:50 - mmengine - INFO - Epoch(train) [41][1180/1320] lr: 2.0000e-04 eta: 0:45:35 time: 0.2249 data_time: 0.0132 memory: 11037 grad_norm: 11.4740 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2442 loss: 1.2442 2022/08/08 18:18:55 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:18:55 - mmengine - INFO - Epoch(train) [41][1200/1320] lr: 2.0000e-04 eta: 0:45:31 time: 0.2285 data_time: 0.0131 memory: 11037 grad_norm: 11.7863 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2510 loss: 1.2510 2022/08/08 18:18:59 - mmengine - INFO - Epoch(train) [41][1220/1320] lr: 2.0000e-04 eta: 0:45:26 time: 0.2256 data_time: 0.0149 memory: 11037 grad_norm: 11.3443 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0095 loss: 1.0095 2022/08/08 18:19:04 - mmengine - INFO - Epoch(train) [41][1240/1320] lr: 2.0000e-04 eta: 0:45:22 time: 0.2268 data_time: 0.0140 memory: 11037 grad_norm: 11.4053 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.1556 loss: 1.1556 2022/08/08 18:19:08 - mmengine - INFO - Epoch(train) [41][1260/1320] lr: 2.0000e-04 eta: 0:45:17 time: 0.2230 data_time: 0.0137 memory: 11037 grad_norm: 11.7909 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3555 loss: 1.3555 2022/08/08 18:19:13 - mmengine - INFO - Epoch(train) [41][1280/1320] lr: 2.0000e-04 eta: 0:45:12 time: 0.2291 data_time: 0.0162 memory: 11037 grad_norm: 11.6870 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2311 loss: 1.2311 2022/08/08 18:19:17 - mmengine - INFO - Epoch(train) [41][1300/1320] lr: 2.0000e-04 eta: 0:45:08 time: 0.2263 data_time: 0.0132 memory: 11037 grad_norm: 11.5146 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2262 loss: 1.2262 2022/08/08 18:19:22 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:19:22 - mmengine - INFO - Epoch(train) [41][1320/1320] lr: 2.0000e-04 eta: 0:45:03 time: 0.2152 data_time: 0.0129 memory: 11037 grad_norm: 11.8308 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1954 loss: 1.1954 2022/08/08 18:19:22 - mmengine - INFO - Saving checkpoint at 41 epochs 2022/08/08 18:19:27 - mmengine - INFO - Epoch(val) [41][20/194] eta: 0:00:28 time: 0.1621 data_time: 0.0851 memory: 1858 2022/08/08 18:19:29 - mmengine - INFO - Epoch(val) [41][40/194] eta: 0:00:16 time: 0.1050 data_time: 0.0289 memory: 1858 2022/08/08 18:19:32 - mmengine - INFO - Epoch(val) [41][60/194] eta: 0:00:16 time: 0.1268 data_time: 0.0508 memory: 1858 2022/08/08 18:19:34 - mmengine - INFO - Epoch(val) [41][80/194] eta: 0:00:11 time: 0.1029 data_time: 0.0248 memory: 1858 2022/08/08 18:19:36 - mmengine - INFO - Epoch(val) [41][100/194] eta: 0:00:11 time: 0.1186 data_time: 0.0421 memory: 1858 2022/08/08 18:19:38 - mmengine - INFO - Epoch(val) [41][120/194] eta: 0:00:08 time: 0.1117 data_time: 0.0371 memory: 1858 2022/08/08 18:19:41 - mmengine - INFO - Epoch(val) [41][140/194] eta: 0:00:06 time: 0.1235 data_time: 0.0479 memory: 1858 2022/08/08 18:19:43 - mmengine - INFO - Epoch(val) [41][160/194] eta: 0:00:03 time: 0.1030 data_time: 0.0233 memory: 1858 2022/08/08 18:19:45 - mmengine - INFO - Epoch(val) [41][180/194] eta: 0:00:01 time: 0.0885 data_time: 0.0289 memory: 1858 2022/08/08 18:19:46 - mmengine - INFO - Epoch(val) [41][194/194] acc/top1: 0.4822 acc/top5: 0.7635 acc/mean1: 0.4077 2022/08/08 18:19:46 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 18:19:52 - mmengine - INFO - Epoch(train) [42][20/1320] lr: 2.0000e-04 eta: 0:44:59 time: 0.2693 data_time: 0.0494 memory: 11037 grad_norm: 11.4454 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9910 loss: 0.9910 2022/08/08 18:19:56 - mmengine - INFO - Epoch(train) [42][40/1320] lr: 2.0000e-04 eta: 0:44:54 time: 0.2250 data_time: 0.0140 memory: 11037 grad_norm: 11.1837 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2944 loss: 1.2944 2022/08/08 18:20:01 - mmengine - INFO - Epoch(train) [42][60/1320] lr: 2.0000e-04 eta: 0:44:50 time: 0.2231 data_time: 0.0129 memory: 11037 grad_norm: 11.6907 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1872 loss: 1.1872 2022/08/08 18:20:05 - mmengine - INFO - Epoch(train) [42][80/1320] lr: 2.0000e-04 eta: 0:44:45 time: 0.2303 data_time: 0.0152 memory: 11037 grad_norm: 11.8109 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3654 loss: 1.3654 2022/08/08 18:20:10 - mmengine - INFO - Epoch(train) [42][100/1320] lr: 2.0000e-04 eta: 0:44:41 time: 0.2265 data_time: 0.0136 memory: 11037 grad_norm: 11.8583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2208 loss: 1.2208 2022/08/08 18:20:14 - mmengine - INFO - Epoch(train) [42][120/1320] lr: 2.0000e-04 eta: 0:44:36 time: 0.2239 data_time: 0.0148 memory: 11037 grad_norm: 11.5197 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1951 loss: 1.1951 2022/08/08 18:20:19 - mmengine - INFO - Epoch(train) [42][140/1320] lr: 2.0000e-04 eta: 0:44:32 time: 0.2255 data_time: 0.0136 memory: 11037 grad_norm: 11.3387 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2843 loss: 1.2843 2022/08/08 18:20:23 - mmengine - INFO - Epoch(train) [42][160/1320] lr: 2.0000e-04 eta: 0:44:27 time: 0.2264 data_time: 0.0151 memory: 11037 grad_norm: 11.3389 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1007 loss: 1.1007 2022/08/08 18:20:28 - mmengine - INFO - Epoch(train) [42][180/1320] lr: 2.0000e-04 eta: 0:44:22 time: 0.2233 data_time: 0.0126 memory: 11037 grad_norm: 11.8967 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1614 loss: 1.1614 2022/08/08 18:20:32 - mmengine - INFO - Epoch(train) [42][200/1320] lr: 2.0000e-04 eta: 0:44:18 time: 0.2257 data_time: 0.0139 memory: 11037 grad_norm: 11.3165 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1800 loss: 1.1800 2022/08/08 18:20:37 - mmengine - INFO - Epoch(train) [42][220/1320] lr: 2.0000e-04 eta: 0:44:13 time: 0.2246 data_time: 0.0129 memory: 11037 grad_norm: 11.5751 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1589 loss: 1.1589 2022/08/08 18:20:41 - mmengine - INFO - Epoch(train) [42][240/1320] lr: 2.0000e-04 eta: 0:44:09 time: 0.2257 data_time: 0.0128 memory: 11037 grad_norm: 11.4238 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0342 loss: 1.0342 2022/08/08 18:20:46 - mmengine - INFO - Epoch(train) [42][260/1320] lr: 2.0000e-04 eta: 0:44:04 time: 0.2254 data_time: 0.0143 memory: 11037 grad_norm: 11.8908 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.1067 loss: 1.1067 2022/08/08 18:20:50 - mmengine - INFO - Epoch(train) [42][280/1320] lr: 2.0000e-04 eta: 0:44:00 time: 0.2245 data_time: 0.0133 memory: 11037 grad_norm: 11.7595 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1535 loss: 1.1535 2022/08/08 18:20:55 - mmengine - INFO - Epoch(train) [42][300/1320] lr: 2.0000e-04 eta: 0:43:55 time: 0.2278 data_time: 0.0131 memory: 11037 grad_norm: 11.8465 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1877 loss: 1.1877 2022/08/08 18:20:59 - mmengine - INFO - Epoch(train) [42][320/1320] lr: 2.0000e-04 eta: 0:43:51 time: 0.2253 data_time: 0.0145 memory: 11037 grad_norm: 11.6696 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2605 loss: 1.2605 2022/08/08 18:21:04 - mmengine - INFO - Epoch(train) [42][340/1320] lr: 2.0000e-04 eta: 0:43:46 time: 0.2251 data_time: 0.0137 memory: 11037 grad_norm: 12.2106 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3615 loss: 1.3615 2022/08/08 18:21:08 - mmengine - INFO - Epoch(train) [42][360/1320] lr: 2.0000e-04 eta: 0:43:41 time: 0.2267 data_time: 0.0160 memory: 11037 grad_norm: 11.5459 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1286 loss: 1.1286 2022/08/08 18:21:13 - mmengine - INFO - Epoch(train) [42][380/1320] lr: 2.0000e-04 eta: 0:43:37 time: 0.2286 data_time: 0.0154 memory: 11037 grad_norm: 11.7206 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1648 loss: 1.1648 2022/08/08 18:21:18 - mmengine - INFO - Epoch(train) [42][400/1320] lr: 2.0000e-04 eta: 0:43:32 time: 0.2252 data_time: 0.0149 memory: 11037 grad_norm: 11.4888 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.0731 loss: 1.0731 2022/08/08 18:21:22 - mmengine - INFO - Epoch(train) [42][420/1320] lr: 2.0000e-04 eta: 0:43:28 time: 0.2247 data_time: 0.0133 memory: 11037 grad_norm: 11.8802 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3837 loss: 1.3837 2022/08/08 18:21:27 - mmengine - INFO - Epoch(train) [42][440/1320] lr: 2.0000e-04 eta: 0:43:23 time: 0.2263 data_time: 0.0147 memory: 11037 grad_norm: 11.5490 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2270 loss: 1.2270 2022/08/08 18:21:31 - mmengine - INFO - Epoch(train) [42][460/1320] lr: 2.0000e-04 eta: 0:43:19 time: 0.2243 data_time: 0.0136 memory: 11037 grad_norm: 11.7202 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1298 loss: 1.1298 2022/08/08 18:21:36 - mmengine - INFO - Epoch(train) [42][480/1320] lr: 2.0000e-04 eta: 0:43:14 time: 0.2258 data_time: 0.0126 memory: 11037 grad_norm: 11.6919 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1547 loss: 1.1547 2022/08/08 18:21:40 - mmengine - INFO - Epoch(train) [42][500/1320] lr: 2.0000e-04 eta: 0:43:09 time: 0.2260 data_time: 0.0178 memory: 11037 grad_norm: 11.6481 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2249 loss: 1.2249 2022/08/08 18:21:45 - mmengine - INFO - Epoch(train) [42][520/1320] lr: 2.0000e-04 eta: 0:43:05 time: 0.2251 data_time: 0.0137 memory: 11037 grad_norm: 11.5679 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2362 loss: 1.2362 2022/08/08 18:21:49 - mmengine - INFO - Epoch(train) [42][540/1320] lr: 2.0000e-04 eta: 0:43:00 time: 0.2240 data_time: 0.0132 memory: 11037 grad_norm: 11.3329 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4630 loss: 1.4630 2022/08/08 18:21:54 - mmengine - INFO - Epoch(train) [42][560/1320] lr: 2.0000e-04 eta: 0:42:56 time: 0.2287 data_time: 0.0146 memory: 11037 grad_norm: 11.8741 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2565 loss: 1.2565 2022/08/08 18:21:58 - mmengine - INFO - Epoch(train) [42][580/1320] lr: 2.0000e-04 eta: 0:42:51 time: 0.2253 data_time: 0.0138 memory: 11037 grad_norm: 11.7386 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2762 loss: 1.2762 2022/08/08 18:22:03 - mmengine - INFO - Epoch(train) [42][600/1320] lr: 2.0000e-04 eta: 0:42:47 time: 0.2255 data_time: 0.0145 memory: 11037 grad_norm: 11.7082 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1998 loss: 1.1998 2022/08/08 18:22:07 - mmengine - INFO - Epoch(train) [42][620/1320] lr: 2.0000e-04 eta: 0:42:42 time: 0.2246 data_time: 0.0139 memory: 11037 grad_norm: 11.4182 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4160 loss: 1.4160 2022/08/08 18:22:12 - mmengine - INFO - Epoch(train) [42][640/1320] lr: 2.0000e-04 eta: 0:42:38 time: 0.2274 data_time: 0.0140 memory: 11037 grad_norm: 11.3278 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1889 loss: 1.1889 2022/08/08 18:22:16 - mmengine - INFO - Epoch(train) [42][660/1320] lr: 2.0000e-04 eta: 0:42:33 time: 0.2239 data_time: 0.0120 memory: 11037 grad_norm: 11.6679 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1680 loss: 1.1680 2022/08/08 18:22:21 - mmengine - INFO - Epoch(train) [42][680/1320] lr: 2.0000e-04 eta: 0:42:28 time: 0.2267 data_time: 0.0153 memory: 11037 grad_norm: 11.7392 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2776 loss: 1.2776 2022/08/08 18:22:25 - mmengine - INFO - Epoch(train) [42][700/1320] lr: 2.0000e-04 eta: 0:42:24 time: 0.2266 data_time: 0.0139 memory: 11037 grad_norm: 11.1940 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1602 loss: 1.1602 2022/08/08 18:22:30 - mmengine - INFO - Epoch(train) [42][720/1320] lr: 2.0000e-04 eta: 0:42:19 time: 0.2247 data_time: 0.0134 memory: 11037 grad_norm: 11.8378 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1269 loss: 1.1269 2022/08/08 18:22:35 - mmengine - INFO - Epoch(train) [42][740/1320] lr: 2.0000e-04 eta: 0:42:15 time: 0.2344 data_time: 0.0153 memory: 11037 grad_norm: 11.1537 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.1943 loss: 1.1943 2022/08/08 18:22:39 - mmengine - INFO - Epoch(train) [42][760/1320] lr: 2.0000e-04 eta: 0:42:10 time: 0.2234 data_time: 0.0132 memory: 11037 grad_norm: 11.4875 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2392 loss: 1.2392 2022/08/08 18:22:44 - mmengine - INFO - Epoch(train) [42][780/1320] lr: 2.0000e-04 eta: 0:42:06 time: 0.2269 data_time: 0.0134 memory: 11037 grad_norm: 11.8165 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1547 loss: 1.1547 2022/08/08 18:22:48 - mmengine - INFO - Epoch(train) [42][800/1320] lr: 2.0000e-04 eta: 0:42:01 time: 0.2265 data_time: 0.0149 memory: 11037 grad_norm: 11.5585 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0919 loss: 1.0919 2022/08/08 18:22:53 - mmengine - INFO - Epoch(train) [42][820/1320] lr: 2.0000e-04 eta: 0:41:57 time: 0.2273 data_time: 0.0134 memory: 11037 grad_norm: 11.7211 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2339 loss: 1.2339 2022/08/08 18:22:57 - mmengine - INFO - Epoch(train) [42][840/1320] lr: 2.0000e-04 eta: 0:41:52 time: 0.2238 data_time: 0.0140 memory: 11037 grad_norm: 11.6250 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2087 loss: 1.2087 2022/08/08 18:23:02 - mmengine - INFO - Epoch(train) [42][860/1320] lr: 2.0000e-04 eta: 0:41:47 time: 0.2259 data_time: 0.0156 memory: 11037 grad_norm: 11.5629 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0060 loss: 1.0060 2022/08/08 18:23:06 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:23:06 - mmengine - INFO - Epoch(train) [42][880/1320] lr: 2.0000e-04 eta: 0:41:43 time: 0.2257 data_time: 0.0129 memory: 11037 grad_norm: 11.7141 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0685 loss: 1.0685 2022/08/08 18:23:11 - mmengine - INFO - Epoch(train) [42][900/1320] lr: 2.0000e-04 eta: 0:41:38 time: 0.2248 data_time: 0.0133 memory: 11037 grad_norm: 11.7262 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2192 loss: 1.2192 2022/08/08 18:23:15 - mmengine - INFO - Epoch(train) [42][920/1320] lr: 2.0000e-04 eta: 0:41:34 time: 0.2280 data_time: 0.0163 memory: 11037 grad_norm: 11.6526 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2699 loss: 1.2699 2022/08/08 18:23:20 - mmengine - INFO - Epoch(train) [42][940/1320] lr: 2.0000e-04 eta: 0:41:29 time: 0.2254 data_time: 0.0144 memory: 11037 grad_norm: 11.8459 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1198 loss: 1.1198 2022/08/08 18:23:24 - mmengine - INFO - Epoch(train) [42][960/1320] lr: 2.0000e-04 eta: 0:41:25 time: 0.2282 data_time: 0.0138 memory: 11037 grad_norm: 11.8191 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1742 loss: 1.1742 2022/08/08 18:23:29 - mmengine - INFO - Epoch(train) [42][980/1320] lr: 2.0000e-04 eta: 0:41:20 time: 0.2263 data_time: 0.0156 memory: 11037 grad_norm: 11.9779 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2608 loss: 1.2608 2022/08/08 18:23:33 - mmengine - INFO - Epoch(train) [42][1000/1320] lr: 2.0000e-04 eta: 0:41:16 time: 0.2307 data_time: 0.0124 memory: 11037 grad_norm: 11.4543 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.1942 loss: 1.1942 2022/08/08 18:23:38 - mmengine - INFO - Epoch(train) [42][1020/1320] lr: 2.0000e-04 eta: 0:41:11 time: 0.2238 data_time: 0.0120 memory: 11037 grad_norm: 11.7946 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1969 loss: 1.1969 2022/08/08 18:23:43 - mmengine - INFO - Epoch(train) [42][1040/1320] lr: 2.0000e-04 eta: 0:41:06 time: 0.2300 data_time: 0.0147 memory: 11037 grad_norm: 11.4939 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9648 loss: 0.9648 2022/08/08 18:23:47 - mmengine - INFO - Epoch(train) [42][1060/1320] lr: 2.0000e-04 eta: 0:41:02 time: 0.2250 data_time: 0.0133 memory: 11037 grad_norm: 11.7844 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2456 loss: 1.2456 2022/08/08 18:23:52 - mmengine - INFO - Epoch(train) [42][1080/1320] lr: 2.0000e-04 eta: 0:40:57 time: 0.2248 data_time: 0.0125 memory: 11037 grad_norm: 12.1817 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1942 loss: 1.1942 2022/08/08 18:23:56 - mmengine - INFO - Epoch(train) [42][1100/1320] lr: 2.0000e-04 eta: 0:40:53 time: 0.2251 data_time: 0.0143 memory: 11037 grad_norm: 11.8025 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1909 loss: 1.1909 2022/08/08 18:24:01 - mmengine - INFO - Epoch(train) [42][1120/1320] lr: 2.0000e-04 eta: 0:40:48 time: 0.2256 data_time: 0.0129 memory: 11037 grad_norm: 11.5792 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.1182 loss: 1.1182 2022/08/08 18:24:05 - mmengine - INFO - Epoch(train) [42][1140/1320] lr: 2.0000e-04 eta: 0:40:44 time: 0.2268 data_time: 0.0144 memory: 11037 grad_norm: 11.5264 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1925 loss: 1.1925 2022/08/08 18:24:10 - mmengine - INFO - Epoch(train) [42][1160/1320] lr: 2.0000e-04 eta: 0:40:39 time: 0.2261 data_time: 0.0141 memory: 11037 grad_norm: 11.5150 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2829 loss: 1.2829 2022/08/08 18:24:14 - mmengine - INFO - Epoch(train) [42][1180/1320] lr: 2.0000e-04 eta: 0:40:35 time: 0.2270 data_time: 0.0136 memory: 11037 grad_norm: 11.3304 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1765 loss: 1.1765 2022/08/08 18:24:19 - mmengine - INFO - Epoch(train) [42][1200/1320] lr: 2.0000e-04 eta: 0:40:30 time: 0.2263 data_time: 0.0172 memory: 11037 grad_norm: 11.5092 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2221 loss: 1.2221 2022/08/08 18:24:23 - mmengine - INFO - Epoch(train) [42][1220/1320] lr: 2.0000e-04 eta: 0:40:25 time: 0.2260 data_time: 0.0142 memory: 11037 grad_norm: 11.3726 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1051 loss: 1.1051 2022/08/08 18:24:28 - mmengine - INFO - Epoch(train) [42][1240/1320] lr: 2.0000e-04 eta: 0:40:21 time: 0.2236 data_time: 0.0120 memory: 11037 grad_norm: 11.5617 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1398 loss: 1.1398 2022/08/08 18:24:32 - mmengine - INFO - Epoch(train) [42][1260/1320] lr: 2.0000e-04 eta: 0:40:16 time: 0.2253 data_time: 0.0135 memory: 11037 grad_norm: 12.0981 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1138 loss: 1.1138 2022/08/08 18:24:37 - mmengine - INFO - Epoch(train) [42][1280/1320] lr: 2.0000e-04 eta: 0:40:12 time: 0.2251 data_time: 0.0143 memory: 11037 grad_norm: 11.6533 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2773 loss: 1.2773 2022/08/08 18:24:41 - mmengine - INFO - Epoch(train) [42][1300/1320] lr: 2.0000e-04 eta: 0:40:07 time: 0.2241 data_time: 0.0137 memory: 11037 grad_norm: 11.5775 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0301 loss: 1.0301 2022/08/08 18:24:46 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:24:46 - mmengine - INFO - Epoch(train) [42][1320/1320] lr: 2.0000e-04 eta: 0:40:03 time: 0.2170 data_time: 0.0135 memory: 11037 grad_norm: 12.0685 top1_acc: 0.4545 top5_acc: 0.7273 loss_cls: 1.3123 loss: 1.3123 2022/08/08 18:24:46 - mmengine - INFO - Saving checkpoint at 42 epochs 2022/08/08 18:24:52 - mmengine - INFO - Epoch(val) [42][20/194] eta: 0:00:28 time: 0.1637 data_time: 0.0876 memory: 1858 2022/08/08 18:24:54 - mmengine - INFO - Epoch(val) [42][40/194] eta: 0:00:17 time: 0.1146 data_time: 0.0354 memory: 1858 2022/08/08 18:24:56 - mmengine - INFO - Epoch(val) [42][60/194] eta: 0:00:15 time: 0.1146 data_time: 0.0382 memory: 1858 2022/08/08 18:24:58 - mmengine - INFO - Epoch(val) [42][80/194] eta: 0:00:12 time: 0.1067 data_time: 0.0290 memory: 1858 2022/08/08 18:25:01 - mmengine - INFO - Epoch(val) [42][100/194] eta: 0:00:11 time: 0.1276 data_time: 0.0518 memory: 1858 2022/08/08 18:25:04 - mmengine - INFO - Epoch(val) [42][120/194] eta: 0:00:10 time: 0.1405 data_time: 0.0591 memory: 1858 2022/08/08 18:25:06 - mmengine - INFO - Epoch(val) [42][140/194] eta: 0:00:06 time: 0.1195 data_time: 0.0447 memory: 1858 2022/08/08 18:25:08 - mmengine - INFO - Epoch(val) [42][160/194] eta: 0:00:03 time: 0.0904 data_time: 0.0189 memory: 1858 2022/08/08 18:25:09 - mmengine - INFO - Epoch(val) [42][180/194] eta: 0:00:00 time: 0.0688 data_time: 0.0140 memory: 1858 2022/08/08 18:25:11 - mmengine - INFO - Epoch(val) [42][194/194] acc/top1: 0.4796 acc/top5: 0.7631 acc/mean1: 0.4069 2022/08/08 18:25:11 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 18:25:16 - mmengine - INFO - Epoch(train) [43][20/1320] lr: 2.0000e-04 eta: 0:39:58 time: 0.2616 data_time: 0.0531 memory: 11037 grad_norm: 11.3570 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1613 loss: 1.1613 2022/08/08 18:25:21 - mmengine - INFO - Epoch(train) [43][40/1320] lr: 2.0000e-04 eta: 0:39:54 time: 0.2252 data_time: 0.0141 memory: 11037 grad_norm: 11.3976 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1382 loss: 1.1382 2022/08/08 18:25:25 - mmengine - INFO - Epoch(train) [43][60/1320] lr: 2.0000e-04 eta: 0:39:49 time: 0.2343 data_time: 0.0140 memory: 11037 grad_norm: 11.6493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2473 loss: 1.2473 2022/08/08 18:25:30 - mmengine - INFO - Epoch(train) [43][80/1320] lr: 2.0000e-04 eta: 0:39:45 time: 0.2250 data_time: 0.0138 memory: 11037 grad_norm: 11.6027 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3756 loss: 1.3756 2022/08/08 18:25:35 - mmengine - INFO - Epoch(train) [43][100/1320] lr: 2.0000e-04 eta: 0:39:40 time: 0.2262 data_time: 0.0137 memory: 11037 grad_norm: 11.6339 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1507 loss: 1.1507 2022/08/08 18:25:39 - mmengine - INFO - Epoch(train) [43][120/1320] lr: 2.0000e-04 eta: 0:39:35 time: 0.2252 data_time: 0.0158 memory: 11037 grad_norm: 11.6008 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2192 loss: 1.2192 2022/08/08 18:25:44 - mmengine - INFO - Epoch(train) [43][140/1320] lr: 2.0000e-04 eta: 0:39:31 time: 0.2444 data_time: 0.0152 memory: 11037 grad_norm: 11.7809 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0268 loss: 1.0268 2022/08/08 18:25:48 - mmengine - INFO - Epoch(train) [43][160/1320] lr: 2.0000e-04 eta: 0:39:26 time: 0.2245 data_time: 0.0126 memory: 11037 grad_norm: 12.0699 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1128 loss: 1.1128 2022/08/08 18:25:53 - mmengine - INFO - Epoch(train) [43][180/1320] lr: 2.0000e-04 eta: 0:39:22 time: 0.2275 data_time: 0.0140 memory: 11037 grad_norm: 11.8710 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2453 loss: 1.2453 2022/08/08 18:25:57 - mmengine - INFO - Epoch(train) [43][200/1320] lr: 2.0000e-04 eta: 0:39:17 time: 0.2259 data_time: 0.0162 memory: 11037 grad_norm: 11.5722 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.0823 loss: 1.0823 2022/08/08 18:26:02 - mmengine - INFO - Epoch(train) [43][220/1320] lr: 2.0000e-04 eta: 0:39:13 time: 0.2273 data_time: 0.0135 memory: 11037 grad_norm: 11.4562 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2552 loss: 1.2552 2022/08/08 18:26:07 - mmengine - INFO - Epoch(train) [43][240/1320] lr: 2.0000e-04 eta: 0:39:08 time: 0.2255 data_time: 0.0143 memory: 11037 grad_norm: 11.7609 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2109 loss: 1.2109 2022/08/08 18:26:11 - mmengine - INFO - Epoch(train) [43][260/1320] lr: 2.0000e-04 eta: 0:39:04 time: 0.2267 data_time: 0.0146 memory: 11037 grad_norm: 11.5918 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3293 loss: 1.3293 2022/08/08 18:26:16 - mmengine - INFO - Epoch(train) [43][280/1320] lr: 2.0000e-04 eta: 0:38:59 time: 0.2287 data_time: 0.0143 memory: 11037 grad_norm: 11.4170 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2551 loss: 1.2551 2022/08/08 18:26:20 - mmengine - INFO - Epoch(train) [43][300/1320] lr: 2.0000e-04 eta: 0:38:54 time: 0.2242 data_time: 0.0147 memory: 11037 grad_norm: 11.5556 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1785 loss: 1.1785 2022/08/08 18:26:25 - mmengine - INFO - Epoch(train) [43][320/1320] lr: 2.0000e-04 eta: 0:38:50 time: 0.2305 data_time: 0.0166 memory: 11037 grad_norm: 11.6300 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1805 loss: 1.1805 2022/08/08 18:26:29 - mmengine - INFO - Epoch(train) [43][340/1320] lr: 2.0000e-04 eta: 0:38:45 time: 0.2240 data_time: 0.0133 memory: 11037 grad_norm: 11.7679 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0513 loss: 1.0513 2022/08/08 18:26:34 - mmengine - INFO - Epoch(train) [43][360/1320] lr: 2.0000e-04 eta: 0:38:41 time: 0.2321 data_time: 0.0132 memory: 11037 grad_norm: 11.4887 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1503 loss: 1.1503 2022/08/08 18:26:38 - mmengine - INFO - Epoch(train) [43][380/1320] lr: 2.0000e-04 eta: 0:38:36 time: 0.2263 data_time: 0.0155 memory: 11037 grad_norm: 11.9498 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0015 loss: 1.0015 2022/08/08 18:26:43 - mmengine - INFO - Epoch(train) [43][400/1320] lr: 2.0000e-04 eta: 0:38:32 time: 0.2266 data_time: 0.0130 memory: 11037 grad_norm: 11.8284 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1724 loss: 1.1724 2022/08/08 18:26:47 - mmengine - INFO - Epoch(train) [43][420/1320] lr: 2.0000e-04 eta: 0:38:27 time: 0.2255 data_time: 0.0132 memory: 11037 grad_norm: 11.5131 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2292 loss: 1.2292 2022/08/08 18:26:52 - mmengine - INFO - Epoch(train) [43][440/1320] lr: 2.0000e-04 eta: 0:38:23 time: 0.2317 data_time: 0.0145 memory: 11037 grad_norm: 11.5300 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1989 loss: 1.1989 2022/08/08 18:26:57 - mmengine - INFO - Epoch(train) [43][460/1320] lr: 2.0000e-04 eta: 0:38:18 time: 0.2243 data_time: 0.0119 memory: 11037 grad_norm: 11.4930 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1792 loss: 1.1792 2022/08/08 18:27:01 - mmengine - INFO - Epoch(train) [43][480/1320] lr: 2.0000e-04 eta: 0:38:13 time: 0.2247 data_time: 0.0135 memory: 11037 grad_norm: 11.7104 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1011 loss: 1.1011 2022/08/08 18:27:06 - mmengine - INFO - Epoch(train) [43][500/1320] lr: 2.0000e-04 eta: 0:38:09 time: 0.2305 data_time: 0.0144 memory: 11037 grad_norm: 11.7434 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2745 loss: 1.2745 2022/08/08 18:27:10 - mmengine - INFO - Epoch(train) [43][520/1320] lr: 2.0000e-04 eta: 0:38:04 time: 0.2241 data_time: 0.0128 memory: 11037 grad_norm: 11.9467 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2610 loss: 1.2610 2022/08/08 18:27:15 - mmengine - INFO - Epoch(train) [43][540/1320] lr: 2.0000e-04 eta: 0:38:00 time: 0.2267 data_time: 0.0135 memory: 11037 grad_norm: 11.9130 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2076 loss: 1.2076 2022/08/08 18:27:19 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:27:19 - mmengine - INFO - Epoch(train) [43][560/1320] lr: 2.0000e-04 eta: 0:37:55 time: 0.2260 data_time: 0.0155 memory: 11037 grad_norm: 12.0877 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4276 loss: 1.4276 2022/08/08 18:27:24 - mmengine - INFO - Epoch(train) [43][580/1320] lr: 2.0000e-04 eta: 0:37:51 time: 0.2256 data_time: 0.0136 memory: 11037 grad_norm: 11.5678 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9642 loss: 0.9642 2022/08/08 18:27:28 - mmengine - INFO - Epoch(train) [43][600/1320] lr: 2.0000e-04 eta: 0:37:46 time: 0.2259 data_time: 0.0131 memory: 11037 grad_norm: 11.4592 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2590 loss: 1.2590 2022/08/08 18:27:33 - mmengine - INFO - Epoch(train) [43][620/1320] lr: 2.0000e-04 eta: 0:37:42 time: 0.2325 data_time: 0.0157 memory: 11037 grad_norm: 11.7993 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3959 loss: 1.3959 2022/08/08 18:27:37 - mmengine - INFO - Epoch(train) [43][640/1320] lr: 2.0000e-04 eta: 0:37:37 time: 0.2249 data_time: 0.0149 memory: 11037 grad_norm: 11.7803 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1204 loss: 1.1204 2022/08/08 18:27:42 - mmengine - INFO - Epoch(train) [43][660/1320] lr: 2.0000e-04 eta: 0:37:33 time: 0.2242 data_time: 0.0131 memory: 11037 grad_norm: 11.5143 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2638 loss: 1.2638 2022/08/08 18:27:46 - mmengine - INFO - Epoch(train) [43][680/1320] lr: 2.0000e-04 eta: 0:37:28 time: 0.2273 data_time: 0.0146 memory: 11037 grad_norm: 11.6949 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1420 loss: 1.1420 2022/08/08 18:27:51 - mmengine - INFO - Epoch(train) [43][700/1320] lr: 2.0000e-04 eta: 0:37:23 time: 0.2246 data_time: 0.0133 memory: 11037 grad_norm: 11.8427 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2208 loss: 1.2208 2022/08/08 18:27:56 - mmengine - INFO - Epoch(train) [43][720/1320] lr: 2.0000e-04 eta: 0:37:19 time: 0.2283 data_time: 0.0141 memory: 11037 grad_norm: 11.4498 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0594 loss: 1.0594 2022/08/08 18:28:00 - mmengine - INFO - Epoch(train) [43][740/1320] lr: 2.0000e-04 eta: 0:37:14 time: 0.2264 data_time: 0.0149 memory: 11037 grad_norm: 11.7880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1650 loss: 1.1650 2022/08/08 18:28:05 - mmengine - INFO - Epoch(train) [43][760/1320] lr: 2.0000e-04 eta: 0:37:10 time: 0.2253 data_time: 0.0127 memory: 11037 grad_norm: 11.6057 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1159 loss: 1.1159 2022/08/08 18:28:09 - mmengine - INFO - Epoch(train) [43][780/1320] lr: 2.0000e-04 eta: 0:37:05 time: 0.2249 data_time: 0.0137 memory: 11037 grad_norm: 11.4741 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1466 loss: 1.1466 2022/08/08 18:28:14 - mmengine - INFO - Epoch(train) [43][800/1320] lr: 2.0000e-04 eta: 0:37:01 time: 0.2286 data_time: 0.0160 memory: 11037 grad_norm: 11.8963 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1571 loss: 1.1571 2022/08/08 18:28:18 - mmengine - INFO - Epoch(train) [43][820/1320] lr: 2.0000e-04 eta: 0:36:56 time: 0.2240 data_time: 0.0130 memory: 11037 grad_norm: 11.7157 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1549 loss: 1.1549 2022/08/08 18:28:23 - mmengine - INFO - Epoch(train) [43][840/1320] lr: 2.0000e-04 eta: 0:36:51 time: 0.2252 data_time: 0.0138 memory: 11037 grad_norm: 12.1362 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.3162 loss: 1.3162 2022/08/08 18:28:27 - mmengine - INFO - Epoch(train) [43][860/1320] lr: 2.0000e-04 eta: 0:36:47 time: 0.2258 data_time: 0.0145 memory: 11037 grad_norm: 11.6258 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1693 loss: 1.1693 2022/08/08 18:28:32 - mmengine - INFO - Epoch(train) [43][880/1320] lr: 2.0000e-04 eta: 0:36:42 time: 0.2241 data_time: 0.0131 memory: 11037 grad_norm: 11.7177 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1042 loss: 1.1042 2022/08/08 18:28:36 - mmengine - INFO - Epoch(train) [43][900/1320] lr: 2.0000e-04 eta: 0:36:38 time: 0.2280 data_time: 0.0141 memory: 11037 grad_norm: 11.7613 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1117 loss: 1.1117 2022/08/08 18:28:41 - mmengine - INFO - Epoch(train) [43][920/1320] lr: 2.0000e-04 eta: 0:36:33 time: 0.2254 data_time: 0.0139 memory: 11037 grad_norm: 11.8923 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2155 loss: 1.2155 2022/08/08 18:28:45 - mmengine - INFO - Epoch(train) [43][940/1320] lr: 2.0000e-04 eta: 0:36:29 time: 0.2253 data_time: 0.0128 memory: 11037 grad_norm: 11.5535 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9870 loss: 0.9870 2022/08/08 18:28:50 - mmengine - INFO - Epoch(train) [43][960/1320] lr: 2.0000e-04 eta: 0:36:24 time: 0.2253 data_time: 0.0145 memory: 11037 grad_norm: 11.7265 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1687 loss: 1.1687 2022/08/08 18:28:54 - mmengine - INFO - Epoch(train) [43][980/1320] lr: 2.0000e-04 eta: 0:36:20 time: 0.2291 data_time: 0.0147 memory: 11037 grad_norm: 11.7755 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1885 loss: 1.1885 2022/08/08 18:28:59 - mmengine - INFO - Epoch(train) [43][1000/1320] lr: 2.0000e-04 eta: 0:36:15 time: 0.2246 data_time: 0.0134 memory: 11037 grad_norm: 11.8138 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3512 loss: 1.3512 2022/08/08 18:29:03 - mmengine - INFO - Epoch(train) [43][1020/1320] lr: 2.0000e-04 eta: 0:36:10 time: 0.2264 data_time: 0.0139 memory: 11037 grad_norm: 11.7851 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2990 loss: 1.2990 2022/08/08 18:29:08 - mmengine - INFO - Epoch(train) [43][1040/1320] lr: 2.0000e-04 eta: 0:36:06 time: 0.2253 data_time: 0.0149 memory: 11037 grad_norm: 11.5443 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0807 loss: 1.0807 2022/08/08 18:29:12 - mmengine - INFO - Epoch(train) [43][1060/1320] lr: 2.0000e-04 eta: 0:36:01 time: 0.2263 data_time: 0.0133 memory: 11037 grad_norm: 11.4409 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1146 loss: 1.1146 2022/08/08 18:29:17 - mmengine - INFO - Epoch(train) [43][1080/1320] lr: 2.0000e-04 eta: 0:35:57 time: 0.2251 data_time: 0.0131 memory: 11037 grad_norm: 11.7040 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2876 loss: 1.2876 2022/08/08 18:29:21 - mmengine - INFO - Epoch(train) [43][1100/1320] lr: 2.0000e-04 eta: 0:35:52 time: 0.2260 data_time: 0.0142 memory: 11037 grad_norm: 11.7125 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1625 loss: 1.1625 2022/08/08 18:29:26 - mmengine - INFO - Epoch(train) [43][1120/1320] lr: 2.0000e-04 eta: 0:35:48 time: 0.2262 data_time: 0.0132 memory: 11037 grad_norm: 11.8603 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3289 loss: 1.3289 2022/08/08 18:29:30 - mmengine - INFO - Epoch(train) [43][1140/1320] lr: 2.0000e-04 eta: 0:35:43 time: 0.2245 data_time: 0.0122 memory: 11037 grad_norm: 11.7315 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1520 loss: 1.1520 2022/08/08 18:29:35 - mmengine - INFO - Epoch(train) [43][1160/1320] lr: 2.0000e-04 eta: 0:35:39 time: 0.2263 data_time: 0.0133 memory: 11037 grad_norm: 11.9259 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3180 loss: 1.3180 2022/08/08 18:29:40 - mmengine - INFO - Epoch(train) [43][1180/1320] lr: 2.0000e-04 eta: 0:35:34 time: 0.2246 data_time: 0.0131 memory: 11037 grad_norm: 11.7363 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2688 loss: 1.2688 2022/08/08 18:29:44 - mmengine - INFO - Epoch(train) [43][1200/1320] lr: 2.0000e-04 eta: 0:35:29 time: 0.2261 data_time: 0.0145 memory: 11037 grad_norm: 11.8324 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2519 loss: 1.2519 2022/08/08 18:29:49 - mmengine - INFO - Epoch(train) [43][1220/1320] lr: 2.0000e-04 eta: 0:35:25 time: 0.2251 data_time: 0.0140 memory: 11037 grad_norm: 11.9305 top1_acc: 0.3125 top5_acc: 0.9375 loss_cls: 1.2440 loss: 1.2440 2022/08/08 18:29:53 - mmengine - INFO - Epoch(train) [43][1240/1320] lr: 2.0000e-04 eta: 0:35:20 time: 0.2264 data_time: 0.0133 memory: 11037 grad_norm: 11.7677 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1234 loss: 1.1234 2022/08/08 18:29:58 - mmengine - INFO - Epoch(train) [43][1260/1320] lr: 2.0000e-04 eta: 0:35:16 time: 0.2248 data_time: 0.0152 memory: 11037 grad_norm: 11.8081 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2635 loss: 1.2635 2022/08/08 18:30:02 - mmengine - INFO - Epoch(train) [43][1280/1320] lr: 2.0000e-04 eta: 0:35:11 time: 0.2266 data_time: 0.0150 memory: 11037 grad_norm: 11.9727 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1220 loss: 1.1220 2022/08/08 18:30:07 - mmengine - INFO - Epoch(train) [43][1300/1320] lr: 2.0000e-04 eta: 0:35:07 time: 0.2280 data_time: 0.0123 memory: 11037 grad_norm: 11.7741 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1797 loss: 1.1797 2022/08/08 18:30:11 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:30:11 - mmengine - INFO - Epoch(train) [43][1320/1320] lr: 2.0000e-04 eta: 0:35:02 time: 0.2148 data_time: 0.0126 memory: 11037 grad_norm: 11.8431 top1_acc: 0.5455 top5_acc: 0.8182 loss_cls: 1.2471 loss: 1.2471 2022/08/08 18:30:11 - mmengine - INFO - Saving checkpoint at 43 epochs 2022/08/08 18:30:17 - mmengine - INFO - Epoch(val) [43][20/194] eta: 0:00:30 time: 0.1733 data_time: 0.0937 memory: 1858 2022/08/08 18:30:19 - mmengine - INFO - Epoch(val) [43][40/194] eta: 0:00:16 time: 0.1102 data_time: 0.0355 memory: 1858 2022/08/08 18:30:21 - mmengine - INFO - Epoch(val) [43][60/194] eta: 0:00:16 time: 0.1204 data_time: 0.0416 memory: 1858 2022/08/08 18:30:24 - mmengine - INFO - Epoch(val) [43][80/194] eta: 0:00:12 time: 0.1095 data_time: 0.0285 memory: 1858 2022/08/08 18:30:26 - mmengine - INFO - Epoch(val) [43][100/194] eta: 0:00:11 time: 0.1198 data_time: 0.0441 memory: 1858 2022/08/08 18:30:28 - mmengine - INFO - Epoch(val) [43][120/194] eta: 0:00:07 time: 0.1040 data_time: 0.0274 memory: 1858 2022/08/08 18:30:30 - mmengine - INFO - Epoch(val) [43][140/194] eta: 0:00:06 time: 0.1190 data_time: 0.0405 memory: 1858 2022/08/08 18:30:33 - mmengine - INFO - Epoch(val) [43][160/194] eta: 0:00:03 time: 0.1040 data_time: 0.0266 memory: 1858 2022/08/08 18:30:34 - mmengine - INFO - Epoch(val) [43][180/194] eta: 0:00:01 time: 0.0794 data_time: 0.0204 memory: 1858 2022/08/08 18:30:36 - mmengine - INFO - Epoch(val) [43][194/194] acc/top1: 0.4821 acc/top5: 0.7628 acc/mean1: 0.4087 2022/08/08 18:30:36 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 18:30:41 - mmengine - INFO - Epoch(train) [44][20/1320] lr: 2.0000e-04 eta: 0:34:58 time: 0.2622 data_time: 0.0443 memory: 11037 grad_norm: 12.0244 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0488 loss: 1.0488 2022/08/08 18:30:46 - mmengine - INFO - Epoch(train) [44][40/1320] lr: 2.0000e-04 eta: 0:34:53 time: 0.2244 data_time: 0.0133 memory: 11037 grad_norm: 11.7456 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1852 loss: 1.1852 2022/08/08 18:30:50 - mmengine - INFO - Epoch(train) [44][60/1320] lr: 2.0000e-04 eta: 0:34:49 time: 0.2246 data_time: 0.0125 memory: 11037 grad_norm: 12.0477 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1342 loss: 1.1342 2022/08/08 18:30:55 - mmengine - INFO - Epoch(train) [44][80/1320] lr: 2.0000e-04 eta: 0:34:44 time: 0.2281 data_time: 0.0152 memory: 11037 grad_norm: 11.8963 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2149 loss: 1.2149 2022/08/08 18:30:59 - mmengine - INFO - Epoch(train) [44][100/1320] lr: 2.0000e-04 eta: 0:34:39 time: 0.2242 data_time: 0.0127 memory: 11037 grad_norm: 11.4093 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2260 loss: 1.2260 2022/08/08 18:31:04 - mmengine - INFO - Epoch(train) [44][120/1320] lr: 2.0000e-04 eta: 0:34:35 time: 0.2249 data_time: 0.0122 memory: 11037 grad_norm: 12.1412 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0317 loss: 1.0317 2022/08/08 18:31:08 - mmengine - INFO - Epoch(train) [44][140/1320] lr: 2.0000e-04 eta: 0:34:30 time: 0.2261 data_time: 0.0154 memory: 11037 grad_norm: 11.7868 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2647 loss: 1.2647 2022/08/08 18:31:13 - mmengine - INFO - Epoch(train) [44][160/1320] lr: 2.0000e-04 eta: 0:34:26 time: 0.2287 data_time: 0.0139 memory: 11037 grad_norm: 11.3750 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.1131 loss: 1.1131 2022/08/08 18:31:17 - mmengine - INFO - Epoch(train) [44][180/1320] lr: 2.0000e-04 eta: 0:34:21 time: 0.2239 data_time: 0.0125 memory: 11037 grad_norm: 11.8134 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3952 loss: 1.3952 2022/08/08 18:31:22 - mmengine - INFO - Epoch(train) [44][200/1320] lr: 2.0000e-04 eta: 0:34:17 time: 0.2261 data_time: 0.0149 memory: 11037 grad_norm: 11.7853 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0913 loss: 1.0913 2022/08/08 18:31:26 - mmengine - INFO - Epoch(train) [44][220/1320] lr: 2.0000e-04 eta: 0:34:12 time: 0.2247 data_time: 0.0121 memory: 11037 grad_norm: 12.1285 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2388 loss: 1.2388 2022/08/08 18:31:31 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:31:31 - mmengine - INFO - Epoch(train) [44][240/1320] lr: 2.0000e-04 eta: 0:34:08 time: 0.2251 data_time: 0.0126 memory: 11037 grad_norm: 11.7840 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2371 loss: 1.2371 2022/08/08 18:31:35 - mmengine - INFO - Epoch(train) [44][260/1320] lr: 2.0000e-04 eta: 0:34:03 time: 0.2271 data_time: 0.0150 memory: 11037 grad_norm: 11.7261 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1284 loss: 1.1284 2022/08/08 18:31:40 - mmengine - INFO - Epoch(train) [44][280/1320] lr: 2.0000e-04 eta: 0:33:58 time: 0.2238 data_time: 0.0113 memory: 11037 grad_norm: 11.7963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1407 loss: 1.1407 2022/08/08 18:31:44 - mmengine - INFO - Epoch(train) [44][300/1320] lr: 2.0000e-04 eta: 0:33:54 time: 0.2254 data_time: 0.0160 memory: 11037 grad_norm: 12.0761 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3039 loss: 1.3039 2022/08/08 18:31:49 - mmengine - INFO - Epoch(train) [44][320/1320] lr: 2.0000e-04 eta: 0:33:49 time: 0.2273 data_time: 0.0177 memory: 11037 grad_norm: 11.7422 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0775 loss: 1.0775 2022/08/08 18:31:53 - mmengine - INFO - Epoch(train) [44][340/1320] lr: 2.0000e-04 eta: 0:33:45 time: 0.2276 data_time: 0.0140 memory: 11037 grad_norm: 11.8467 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1070 loss: 1.1070 2022/08/08 18:31:58 - mmengine - INFO - Epoch(train) [44][360/1320] lr: 2.0000e-04 eta: 0:33:40 time: 0.2238 data_time: 0.0129 memory: 11037 grad_norm: 11.9356 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1068 loss: 1.1068 2022/08/08 18:32:02 - mmengine - INFO - Epoch(train) [44][380/1320] lr: 2.0000e-04 eta: 0:33:36 time: 0.2263 data_time: 0.0142 memory: 11037 grad_norm: 12.1890 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1055 loss: 1.1055 2022/08/08 18:32:07 - mmengine - INFO - Epoch(train) [44][400/1320] lr: 2.0000e-04 eta: 0:33:31 time: 0.2307 data_time: 0.0120 memory: 11037 grad_norm: 11.8756 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1774 loss: 1.1774 2022/08/08 18:32:11 - mmengine - INFO - Epoch(train) [44][420/1320] lr: 2.0000e-04 eta: 0:33:27 time: 0.2241 data_time: 0.0129 memory: 11037 grad_norm: 11.7608 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1588 loss: 1.1588 2022/08/08 18:32:16 - mmengine - INFO - Epoch(train) [44][440/1320] lr: 2.0000e-04 eta: 0:33:22 time: 0.2268 data_time: 0.0143 memory: 11037 grad_norm: 11.8606 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2496 loss: 1.2496 2022/08/08 18:32:21 - mmengine - INFO - Epoch(train) [44][460/1320] lr: 2.0000e-04 eta: 0:33:17 time: 0.2244 data_time: 0.0128 memory: 11037 grad_norm: 12.1314 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2462 loss: 1.2462 2022/08/08 18:32:25 - mmengine - INFO - Epoch(train) [44][480/1320] lr: 2.0000e-04 eta: 0:33:13 time: 0.2269 data_time: 0.0145 memory: 11037 grad_norm: 11.6148 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2526 loss: 1.2526 2022/08/08 18:32:30 - mmengine - INFO - Epoch(train) [44][500/1320] lr: 2.0000e-04 eta: 0:33:08 time: 0.2254 data_time: 0.0153 memory: 11037 grad_norm: 12.0749 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1781 loss: 1.1781 2022/08/08 18:32:34 - mmengine - INFO - Epoch(train) [44][520/1320] lr: 2.0000e-04 eta: 0:33:04 time: 0.2259 data_time: 0.0154 memory: 11037 grad_norm: 11.7661 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3027 loss: 1.3027 2022/08/08 18:32:39 - mmengine - INFO - Epoch(train) [44][540/1320] lr: 2.0000e-04 eta: 0:32:59 time: 0.2241 data_time: 0.0125 memory: 11037 grad_norm: 12.0538 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0524 loss: 1.0524 2022/08/08 18:32:43 - mmengine - INFO - Epoch(train) [44][560/1320] lr: 2.0000e-04 eta: 0:32:55 time: 0.2279 data_time: 0.0171 memory: 11037 grad_norm: 12.2067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1285 loss: 1.1285 2022/08/08 18:32:48 - mmengine - INFO - Epoch(train) [44][580/1320] lr: 2.0000e-04 eta: 0:32:50 time: 0.2261 data_time: 0.0122 memory: 11037 grad_norm: 11.7346 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1983 loss: 1.1983 2022/08/08 18:32:52 - mmengine - INFO - Epoch(train) [44][600/1320] lr: 2.0000e-04 eta: 0:32:46 time: 0.2267 data_time: 0.0142 memory: 11037 grad_norm: 11.8973 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1686 loss: 1.1686 2022/08/08 18:32:57 - mmengine - INFO - Epoch(train) [44][620/1320] lr: 2.0000e-04 eta: 0:32:41 time: 0.2309 data_time: 0.0176 memory: 11037 grad_norm: 12.3672 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1170 loss: 1.1170 2022/08/08 18:33:01 - mmengine - INFO - Epoch(train) [44][640/1320] lr: 2.0000e-04 eta: 0:32:36 time: 0.2254 data_time: 0.0113 memory: 11037 grad_norm: 11.9344 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2503 loss: 1.2503 2022/08/08 18:33:06 - mmengine - INFO - Epoch(train) [44][660/1320] lr: 2.0000e-04 eta: 0:32:32 time: 0.2256 data_time: 0.0139 memory: 11037 grad_norm: 11.7720 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1678 loss: 1.1678 2022/08/08 18:33:10 - mmengine - INFO - Epoch(train) [44][680/1320] lr: 2.0000e-04 eta: 0:32:27 time: 0.2280 data_time: 0.0149 memory: 11037 grad_norm: 11.7030 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3900 loss: 1.3900 2022/08/08 18:33:15 - mmengine - INFO - Epoch(train) [44][700/1320] lr: 2.0000e-04 eta: 0:32:23 time: 0.2256 data_time: 0.0131 memory: 11037 grad_norm: 12.1585 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1132 loss: 1.1132 2022/08/08 18:33:19 - mmengine - INFO - Epoch(train) [44][720/1320] lr: 2.0000e-04 eta: 0:32:18 time: 0.2261 data_time: 0.0136 memory: 11037 grad_norm: 12.1012 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1621 loss: 1.1621 2022/08/08 18:33:24 - mmengine - INFO - Epoch(train) [44][740/1320] lr: 2.0000e-04 eta: 0:32:14 time: 0.2365 data_time: 0.0149 memory: 11037 grad_norm: 12.0045 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3780 loss: 1.3780 2022/08/08 18:33:29 - mmengine - INFO - Epoch(train) [44][760/1320] lr: 2.0000e-04 eta: 0:32:09 time: 0.2248 data_time: 0.0132 memory: 11037 grad_norm: 11.6656 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0356 loss: 1.0356 2022/08/08 18:33:33 - mmengine - INFO - Epoch(train) [44][780/1320] lr: 2.0000e-04 eta: 0:32:05 time: 0.2258 data_time: 0.0132 memory: 11037 grad_norm: 11.6729 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2686 loss: 1.2686 2022/08/08 18:33:38 - mmengine - INFO - Epoch(train) [44][800/1320] lr: 2.0000e-04 eta: 0:32:00 time: 0.2257 data_time: 0.0154 memory: 11037 grad_norm: 11.9324 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1419 loss: 1.1419 2022/08/08 18:33:42 - mmengine - INFO - Epoch(train) [44][820/1320] lr: 2.0000e-04 eta: 0:31:55 time: 0.2248 data_time: 0.0146 memory: 11037 grad_norm: 12.0353 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1678 loss: 1.1678 2022/08/08 18:33:47 - mmengine - INFO - Epoch(train) [44][840/1320] lr: 2.0000e-04 eta: 0:31:51 time: 0.2268 data_time: 0.0141 memory: 11037 grad_norm: 11.6402 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2499 loss: 1.2499 2022/08/08 18:33:51 - mmengine - INFO - Epoch(train) [44][860/1320] lr: 2.0000e-04 eta: 0:31:46 time: 0.2255 data_time: 0.0143 memory: 11037 grad_norm: 11.4624 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0930 loss: 1.0930 2022/08/08 18:33:56 - mmengine - INFO - Epoch(train) [44][880/1320] lr: 2.0000e-04 eta: 0:31:42 time: 0.2252 data_time: 0.0122 memory: 11037 grad_norm: 11.7945 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1234 loss: 1.1234 2022/08/08 18:34:00 - mmengine - INFO - Epoch(train) [44][900/1320] lr: 2.0000e-04 eta: 0:31:37 time: 0.2243 data_time: 0.0142 memory: 11037 grad_norm: 11.8550 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1322 loss: 1.1322 2022/08/08 18:34:05 - mmengine - INFO - Epoch(train) [44][920/1320] lr: 2.0000e-04 eta: 0:31:33 time: 0.2284 data_time: 0.0142 memory: 11037 grad_norm: 11.8580 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2328 loss: 1.2328 2022/08/08 18:34:09 - mmengine - INFO - Epoch(train) [44][940/1320] lr: 2.0000e-04 eta: 0:31:28 time: 0.2259 data_time: 0.0134 memory: 11037 grad_norm: 12.2456 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3066 loss: 1.3066 2022/08/08 18:34:14 - mmengine - INFO - Epoch(train) [44][960/1320] lr: 2.0000e-04 eta: 0:31:24 time: 0.2248 data_time: 0.0135 memory: 11037 grad_norm: 11.8807 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2664 loss: 1.2664 2022/08/08 18:34:18 - mmengine - INFO - Epoch(train) [44][980/1320] lr: 2.0000e-04 eta: 0:31:19 time: 0.2255 data_time: 0.0140 memory: 11037 grad_norm: 11.7298 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2372 loss: 1.2372 2022/08/08 18:34:23 - mmengine - INFO - Epoch(train) [44][1000/1320] lr: 2.0000e-04 eta: 0:31:14 time: 0.2285 data_time: 0.0143 memory: 11037 grad_norm: 11.8287 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1801 loss: 1.1801 2022/08/08 18:34:27 - mmengine - INFO - Epoch(train) [44][1020/1320] lr: 2.0000e-04 eta: 0:31:10 time: 0.2248 data_time: 0.0134 memory: 11037 grad_norm: 11.9988 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.1116 loss: 1.1116 2022/08/08 18:34:32 - mmengine - INFO - Epoch(train) [44][1040/1320] lr: 2.0000e-04 eta: 0:31:05 time: 0.2264 data_time: 0.0145 memory: 11037 grad_norm: 11.9985 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2735 loss: 1.2735 2022/08/08 18:34:37 - mmengine - INFO - Epoch(train) [44][1060/1320] lr: 2.0000e-04 eta: 0:31:01 time: 0.2253 data_time: 0.0131 memory: 11037 grad_norm: 11.9268 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2770 loss: 1.2770 2022/08/08 18:34:41 - mmengine - INFO - Epoch(train) [44][1080/1320] lr: 2.0000e-04 eta: 0:30:56 time: 0.2243 data_time: 0.0130 memory: 11037 grad_norm: 11.7954 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0458 loss: 1.0458 2022/08/08 18:34:46 - mmengine - INFO - Epoch(train) [44][1100/1320] lr: 2.0000e-04 eta: 0:30:52 time: 0.2295 data_time: 0.0155 memory: 11037 grad_norm: 11.7911 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2314 loss: 1.2314 2022/08/08 18:34:50 - mmengine - INFO - Epoch(train) [44][1120/1320] lr: 2.0000e-04 eta: 0:30:47 time: 0.2248 data_time: 0.0127 memory: 11037 grad_norm: 11.5406 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1141 loss: 1.1141 2022/08/08 18:34:55 - mmengine - INFO - Epoch(train) [44][1140/1320] lr: 2.0000e-04 eta: 0:30:43 time: 0.2258 data_time: 0.0128 memory: 11037 grad_norm: 12.0266 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0605 loss: 1.0605 2022/08/08 18:34:59 - mmengine - INFO - Epoch(train) [44][1160/1320] lr: 2.0000e-04 eta: 0:30:38 time: 0.2254 data_time: 0.0141 memory: 11037 grad_norm: 12.1193 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1066 loss: 1.1066 2022/08/08 18:35:04 - mmengine - INFO - Epoch(train) [44][1180/1320] lr: 2.0000e-04 eta: 0:30:33 time: 0.2283 data_time: 0.0140 memory: 11037 grad_norm: 11.8253 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1782 loss: 1.1782 2022/08/08 18:35:08 - mmengine - INFO - Epoch(train) [44][1200/1320] lr: 2.0000e-04 eta: 0:30:29 time: 0.2248 data_time: 0.0118 memory: 11037 grad_norm: 12.1276 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3588 loss: 1.3588 2022/08/08 18:35:13 - mmengine - INFO - Epoch(train) [44][1220/1320] lr: 2.0000e-04 eta: 0:30:24 time: 0.2259 data_time: 0.0138 memory: 11037 grad_norm: 11.3534 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0693 loss: 1.0693 2022/08/08 18:35:17 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:35:17 - mmengine - INFO - Epoch(train) [44][1240/1320] lr: 2.0000e-04 eta: 0:30:20 time: 0.2241 data_time: 0.0131 memory: 11037 grad_norm: 12.0714 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1773 loss: 1.1773 2022/08/08 18:35:22 - mmengine - INFO - Epoch(train) [44][1260/1320] lr: 2.0000e-04 eta: 0:30:15 time: 0.2243 data_time: 0.0129 memory: 11037 grad_norm: 11.7172 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1375 loss: 1.1375 2022/08/08 18:35:26 - mmengine - INFO - Epoch(train) [44][1280/1320] lr: 2.0000e-04 eta: 0:30:11 time: 0.2287 data_time: 0.0152 memory: 11037 grad_norm: 11.5629 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2384 loss: 1.2384 2022/08/08 18:35:31 - mmengine - INFO - Epoch(train) [44][1300/1320] lr: 2.0000e-04 eta: 0:30:06 time: 0.2249 data_time: 0.0128 memory: 11037 grad_norm: 11.7251 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1461 loss: 1.1461 2022/08/08 18:35:35 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:35:35 - mmengine - INFO - Epoch(train) [44][1320/1320] lr: 2.0000e-04 eta: 0:30:02 time: 0.2154 data_time: 0.0124 memory: 11037 grad_norm: 12.0660 top1_acc: 0.7273 top5_acc: 0.9091 loss_cls: 1.2110 loss: 1.2110 2022/08/08 18:35:35 - mmengine - INFO - Saving checkpoint at 44 epochs 2022/08/08 18:35:41 - mmengine - INFO - Epoch(val) [44][20/194] eta: 0:00:28 time: 0.1618 data_time: 0.0849 memory: 1858 2022/08/08 18:35:43 - mmengine - INFO - Epoch(val) [44][40/194] eta: 0:00:17 time: 0.1109 data_time: 0.0344 memory: 1858 2022/08/08 18:35:45 - mmengine - INFO - Epoch(val) [44][60/194] eta: 0:00:15 time: 0.1131 data_time: 0.0373 memory: 1858 2022/08/08 18:35:47 - mmengine - INFO - Epoch(val) [44][80/194] eta: 0:00:11 time: 0.1045 data_time: 0.0276 memory: 1858 2022/08/08 18:35:50 - mmengine - INFO - Epoch(val) [44][100/194] eta: 0:00:12 time: 0.1278 data_time: 0.0482 memory: 1858 2022/08/08 18:35:52 - mmengine - INFO - Epoch(val) [44][120/194] eta: 0:00:07 time: 0.1042 data_time: 0.0231 memory: 1858 2022/08/08 18:35:54 - mmengine - INFO - Epoch(val) [44][140/194] eta: 0:00:06 time: 0.1169 data_time: 0.0365 memory: 1858 2022/08/08 18:35:56 - mmengine - INFO - Epoch(val) [44][160/194] eta: 0:00:03 time: 0.1034 data_time: 0.0270 memory: 1858 2022/08/08 18:35:58 - mmengine - INFO - Epoch(val) [44][180/194] eta: 0:00:01 time: 0.0933 data_time: 0.0278 memory: 1858 2022/08/08 18:36:00 - mmengine - INFO - Epoch(val) [44][194/194] acc/top1: 0.4771 acc/top5: 0.7595 acc/mean1: 0.4035 2022/08/08 18:36:00 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 18:36:05 - mmengine - INFO - Epoch(train) [45][20/1320] lr: 2.0000e-04 eta: 0:29:57 time: 0.2658 data_time: 0.0470 memory: 11037 grad_norm: 11.6942 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1860 loss: 1.1860 2022/08/08 18:36:10 - mmengine - INFO - Epoch(train) [45][40/1320] lr: 2.0000e-04 eta: 0:29:53 time: 0.2252 data_time: 0.0117 memory: 11037 grad_norm: 12.0579 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.2902 loss: 1.2902 2022/08/08 18:36:14 - mmengine - INFO - Epoch(train) [45][60/1320] lr: 2.0000e-04 eta: 0:29:48 time: 0.2261 data_time: 0.0143 memory: 11037 grad_norm: 11.7282 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1501 loss: 1.1501 2022/08/08 18:36:19 - mmengine - INFO - Epoch(train) [45][80/1320] lr: 2.0000e-04 eta: 0:29:43 time: 0.2258 data_time: 0.0149 memory: 11037 grad_norm: 11.6076 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1244 loss: 1.1244 2022/08/08 18:36:23 - mmengine - INFO - Epoch(train) [45][100/1320] lr: 2.0000e-04 eta: 0:29:39 time: 0.2247 data_time: 0.0125 memory: 11037 grad_norm: 11.8293 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3841 loss: 1.3841 2022/08/08 18:36:28 - mmengine - INFO - Epoch(train) [45][120/1320] lr: 2.0000e-04 eta: 0:29:34 time: 0.2240 data_time: 0.0122 memory: 11037 grad_norm: 11.6352 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2707 loss: 1.2707 2022/08/08 18:36:32 - mmengine - INFO - Epoch(train) [45][140/1320] lr: 2.0000e-04 eta: 0:29:30 time: 0.2260 data_time: 0.0143 memory: 11037 grad_norm: 11.8969 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1529 loss: 1.1529 2022/08/08 18:36:37 - mmengine - INFO - Epoch(train) [45][160/1320] lr: 2.0000e-04 eta: 0:29:25 time: 0.2292 data_time: 0.0132 memory: 11037 grad_norm: 11.9149 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1737 loss: 1.1737 2022/08/08 18:36:41 - mmengine - INFO - Epoch(train) [45][180/1320] lr: 2.0000e-04 eta: 0:29:21 time: 0.2238 data_time: 0.0129 memory: 11037 grad_norm: 12.1711 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1786 loss: 1.1786 2022/08/08 18:36:46 - mmengine - INFO - Epoch(train) [45][200/1320] lr: 2.0000e-04 eta: 0:29:16 time: 0.2269 data_time: 0.0158 memory: 11037 grad_norm: 12.3763 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2763 loss: 1.2763 2022/08/08 18:36:50 - mmengine - INFO - Epoch(train) [45][220/1320] lr: 2.0000e-04 eta: 0:29:12 time: 0.2248 data_time: 0.0136 memory: 11037 grad_norm: 11.9524 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.1734 loss: 1.1734 2022/08/08 18:36:55 - mmengine - INFO - Epoch(train) [45][240/1320] lr: 2.0000e-04 eta: 0:29:07 time: 0.2310 data_time: 0.0125 memory: 11037 grad_norm: 11.6065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1999 loss: 1.1999 2022/08/08 18:37:00 - mmengine - INFO - Epoch(train) [45][260/1320] lr: 2.0000e-04 eta: 0:29:02 time: 0.2244 data_time: 0.0139 memory: 11037 grad_norm: 11.7957 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0321 loss: 1.0321 2022/08/08 18:37:04 - mmengine - INFO - Epoch(train) [45][280/1320] lr: 2.0000e-04 eta: 0:28:58 time: 0.2280 data_time: 0.0134 memory: 11037 grad_norm: 11.9310 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1919 loss: 1.1919 2022/08/08 18:37:09 - mmengine - INFO - Epoch(train) [45][300/1320] lr: 2.0000e-04 eta: 0:28:53 time: 0.2245 data_time: 0.0120 memory: 11037 grad_norm: 11.5028 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1475 loss: 1.1475 2022/08/08 18:37:13 - mmengine - INFO - Epoch(train) [45][320/1320] lr: 2.0000e-04 eta: 0:28:49 time: 0.2251 data_time: 0.0145 memory: 11037 grad_norm: 11.9557 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2197 loss: 1.2197 2022/08/08 18:37:18 - mmengine - INFO - Epoch(train) [45][340/1320] lr: 2.0000e-04 eta: 0:28:44 time: 0.2258 data_time: 0.0133 memory: 11037 grad_norm: 12.1878 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0598 loss: 1.0598 2022/08/08 18:37:22 - mmengine - INFO - Epoch(train) [45][360/1320] lr: 2.0000e-04 eta: 0:28:40 time: 0.2260 data_time: 0.0143 memory: 11037 grad_norm: 11.9884 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2632 loss: 1.2632 2022/08/08 18:37:27 - mmengine - INFO - Epoch(train) [45][380/1320] lr: 2.0000e-04 eta: 0:28:35 time: 0.2297 data_time: 0.0162 memory: 11037 grad_norm: 11.6585 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1802 loss: 1.1802 2022/08/08 18:37:31 - mmengine - INFO - Epoch(train) [45][400/1320] lr: 2.0000e-04 eta: 0:28:31 time: 0.2249 data_time: 0.0136 memory: 11037 grad_norm: 11.7740 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2230 loss: 1.2230 2022/08/08 18:37:36 - mmengine - INFO - Epoch(train) [45][420/1320] lr: 2.0000e-04 eta: 0:28:26 time: 0.2265 data_time: 0.0142 memory: 11037 grad_norm: 11.7759 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9871 loss: 0.9871 2022/08/08 18:37:40 - mmengine - INFO - Epoch(train) [45][440/1320] lr: 2.0000e-04 eta: 0:28:21 time: 0.2247 data_time: 0.0144 memory: 11037 grad_norm: 12.1481 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1160 loss: 1.1160 2022/08/08 18:37:45 - mmengine - INFO - Epoch(train) [45][460/1320] lr: 2.0000e-04 eta: 0:28:17 time: 0.2260 data_time: 0.0137 memory: 11037 grad_norm: 11.8781 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3891 loss: 1.3891 2022/08/08 18:37:49 - mmengine - INFO - Epoch(train) [45][480/1320] lr: 2.0000e-04 eta: 0:28:12 time: 0.2243 data_time: 0.0135 memory: 11037 grad_norm: 11.7468 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1496 loss: 1.1496 2022/08/08 18:37:54 - mmengine - INFO - Epoch(train) [45][500/1320] lr: 2.0000e-04 eta: 0:28:08 time: 0.2281 data_time: 0.0148 memory: 11037 grad_norm: 12.4518 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3718 loss: 1.3718 2022/08/08 18:37:58 - mmengine - INFO - Epoch(train) [45][520/1320] lr: 2.0000e-04 eta: 0:28:03 time: 0.2254 data_time: 0.0137 memory: 11037 grad_norm: 11.7465 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2425 loss: 1.2425 2022/08/08 18:38:03 - mmengine - INFO - Epoch(train) [45][540/1320] lr: 2.0000e-04 eta: 0:27:59 time: 0.2249 data_time: 0.0126 memory: 11037 grad_norm: 11.9149 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1623 loss: 1.1623 2022/08/08 18:38:07 - mmengine - INFO - Epoch(train) [45][560/1320] lr: 2.0000e-04 eta: 0:27:54 time: 0.2274 data_time: 0.0151 memory: 11037 grad_norm: 11.7937 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1770 loss: 1.1770 2022/08/08 18:38:12 - mmengine - INFO - Epoch(train) [45][580/1320] lr: 2.0000e-04 eta: 0:27:50 time: 0.2246 data_time: 0.0134 memory: 11037 grad_norm: 11.7716 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0530 loss: 1.0530 2022/08/08 18:38:17 - mmengine - INFO - Epoch(train) [45][600/1320] lr: 2.0000e-04 eta: 0:27:45 time: 0.2253 data_time: 0.0135 memory: 11037 grad_norm: 12.1778 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1036 loss: 1.1036 2022/08/08 18:38:21 - mmengine - INFO - Epoch(train) [45][620/1320] lr: 2.0000e-04 eta: 0:27:40 time: 0.2264 data_time: 0.0150 memory: 11037 grad_norm: 12.1293 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.3449 loss: 1.3449 2022/08/08 18:38:26 - mmengine - INFO - Epoch(train) [45][640/1320] lr: 2.0000e-04 eta: 0:27:36 time: 0.2253 data_time: 0.0138 memory: 11037 grad_norm: 11.9820 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0851 loss: 1.0851 2022/08/08 18:38:30 - mmengine - INFO - Epoch(train) [45][660/1320] lr: 2.0000e-04 eta: 0:27:31 time: 0.2245 data_time: 0.0128 memory: 11037 grad_norm: 11.8846 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1346 loss: 1.1346 2022/08/08 18:38:35 - mmengine - INFO - Epoch(train) [45][680/1320] lr: 2.0000e-04 eta: 0:27:27 time: 0.2266 data_time: 0.0142 memory: 11037 grad_norm: 12.6365 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0296 loss: 1.0296 2022/08/08 18:38:39 - mmengine - INFO - Epoch(train) [45][700/1320] lr: 2.0000e-04 eta: 0:27:22 time: 0.2249 data_time: 0.0133 memory: 11037 grad_norm: 11.6969 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2719 loss: 1.2719 2022/08/08 18:38:44 - mmengine - INFO - Epoch(train) [45][720/1320] lr: 2.0000e-04 eta: 0:27:18 time: 0.2250 data_time: 0.0132 memory: 11037 grad_norm: 11.7786 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0410 loss: 1.0410 2022/08/08 18:38:48 - mmengine - INFO - Epoch(train) [45][740/1320] lr: 2.0000e-04 eta: 0:27:13 time: 0.2247 data_time: 0.0145 memory: 11037 grad_norm: 12.0647 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1893 loss: 1.1893 2022/08/08 18:38:53 - mmengine - INFO - Epoch(train) [45][760/1320] lr: 2.0000e-04 eta: 0:27:09 time: 0.2244 data_time: 0.0134 memory: 11037 grad_norm: 12.2199 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0973 loss: 1.0973 2022/08/08 18:38:57 - mmengine - INFO - Epoch(train) [45][780/1320] lr: 2.0000e-04 eta: 0:27:04 time: 0.2283 data_time: 0.0127 memory: 11037 grad_norm: 11.5433 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0573 loss: 1.0573 2022/08/08 18:39:02 - mmengine - INFO - Epoch(train) [45][800/1320] lr: 2.0000e-04 eta: 0:26:59 time: 0.2258 data_time: 0.0148 memory: 11037 grad_norm: 12.0941 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1504 loss: 1.1504 2022/08/08 18:39:06 - mmengine - INFO - Epoch(train) [45][820/1320] lr: 2.0000e-04 eta: 0:26:55 time: 0.2260 data_time: 0.0137 memory: 11037 grad_norm: 12.3451 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2243 loss: 1.2243 2022/08/08 18:39:11 - mmengine - INFO - Epoch(train) [45][840/1320] lr: 2.0000e-04 eta: 0:26:50 time: 0.2239 data_time: 0.0125 memory: 11037 grad_norm: 11.7503 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1319 loss: 1.1319 2022/08/08 18:39:15 - mmengine - INFO - Epoch(train) [45][860/1320] lr: 2.0000e-04 eta: 0:26:46 time: 0.2285 data_time: 0.0148 memory: 11037 grad_norm: 12.0816 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1451 loss: 1.1451 2022/08/08 18:39:20 - mmengine - INFO - Epoch(train) [45][880/1320] lr: 2.0000e-04 eta: 0:26:41 time: 0.2271 data_time: 0.0160 memory: 11037 grad_norm: 11.9653 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3374 loss: 1.3374 2022/08/08 18:39:24 - mmengine - INFO - Epoch(train) [45][900/1320] lr: 2.0000e-04 eta: 0:26:37 time: 0.2249 data_time: 0.0135 memory: 11037 grad_norm: 11.9268 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0998 loss: 1.0998 2022/08/08 18:39:29 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:39:29 - mmengine - INFO - Epoch(train) [45][920/1320] lr: 2.0000e-04 eta: 0:26:32 time: 0.2244 data_time: 0.0146 memory: 11037 grad_norm: 11.4997 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1167 loss: 1.1167 2022/08/08 18:39:33 - mmengine - INFO - Epoch(train) [45][940/1320] lr: 2.0000e-04 eta: 0:26:28 time: 0.2271 data_time: 0.0141 memory: 11037 grad_norm: 12.1149 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2893 loss: 1.2893 2022/08/08 18:39:38 - mmengine - INFO - Epoch(train) [45][960/1320] lr: 2.0000e-04 eta: 0:26:23 time: 0.2253 data_time: 0.0191 memory: 11037 grad_norm: 12.1437 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2777 loss: 1.2777 2022/08/08 18:39:42 - mmengine - INFO - Epoch(train) [45][980/1320] lr: 2.0000e-04 eta: 0:26:18 time: 0.2247 data_time: 0.0141 memory: 11037 grad_norm: 12.1315 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1231 loss: 1.1231 2022/08/08 18:39:47 - mmengine - INFO - Epoch(train) [45][1000/1320] lr: 2.0000e-04 eta: 0:26:14 time: 0.2254 data_time: 0.0145 memory: 11037 grad_norm: 12.0214 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2333 loss: 1.2333 2022/08/08 18:39:51 - mmengine - INFO - Epoch(train) [45][1020/1320] lr: 2.0000e-04 eta: 0:26:09 time: 0.2275 data_time: 0.0146 memory: 11037 grad_norm: 11.5354 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0304 loss: 1.0304 2022/08/08 18:39:56 - mmengine - INFO - Epoch(train) [45][1040/1320] lr: 2.0000e-04 eta: 0:26:05 time: 0.2262 data_time: 0.0148 memory: 11037 grad_norm: 11.7815 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0533 loss: 1.0533 2022/08/08 18:40:00 - mmengine - INFO - Epoch(train) [45][1060/1320] lr: 2.0000e-04 eta: 0:26:00 time: 0.2261 data_time: 0.0128 memory: 11037 grad_norm: 11.8327 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.2309 loss: 1.2309 2022/08/08 18:40:05 - mmengine - INFO - Epoch(train) [45][1080/1320] lr: 2.0000e-04 eta: 0:25:56 time: 0.2279 data_time: 0.0144 memory: 11037 grad_norm: 11.7876 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3250 loss: 1.3250 2022/08/08 18:40:10 - mmengine - INFO - Epoch(train) [45][1100/1320] lr: 2.0000e-04 eta: 0:25:51 time: 0.2275 data_time: 0.0152 memory: 11037 grad_norm: 12.0243 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1850 loss: 1.1850 2022/08/08 18:40:14 - mmengine - INFO - Epoch(train) [45][1120/1320] lr: 2.0000e-04 eta: 0:25:47 time: 0.2249 data_time: 0.0137 memory: 11037 grad_norm: 12.0166 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1281 loss: 1.1281 2022/08/08 18:40:19 - mmengine - INFO - Epoch(train) [45][1140/1320] lr: 2.0000e-04 eta: 0:25:42 time: 0.2244 data_time: 0.0133 memory: 11037 grad_norm: 11.8246 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1299 loss: 1.1299 2022/08/08 18:40:23 - mmengine - INFO - Epoch(train) [45][1160/1320] lr: 2.0000e-04 eta: 0:25:37 time: 0.2272 data_time: 0.0149 memory: 11037 grad_norm: 12.1305 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2301 loss: 1.2301 2022/08/08 18:40:28 - mmengine - INFO - Epoch(train) [45][1180/1320] lr: 2.0000e-04 eta: 0:25:33 time: 0.2246 data_time: 0.0132 memory: 11037 grad_norm: 12.1823 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2276 loss: 1.2276 2022/08/08 18:40:32 - mmengine - INFO - Epoch(train) [45][1200/1320] lr: 2.0000e-04 eta: 0:25:28 time: 0.2242 data_time: 0.0139 memory: 11037 grad_norm: 11.7140 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1337 loss: 1.1337 2022/08/08 18:40:37 - mmengine - INFO - Epoch(train) [45][1220/1320] lr: 2.0000e-04 eta: 0:25:24 time: 0.2305 data_time: 0.0153 memory: 11037 grad_norm: 12.0593 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.2699 loss: 1.2699 2022/08/08 18:40:41 - mmengine - INFO - Epoch(train) [45][1240/1320] lr: 2.0000e-04 eta: 0:25:19 time: 0.2257 data_time: 0.0155 memory: 11037 grad_norm: 11.6013 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2099 loss: 1.2099 2022/08/08 18:40:46 - mmengine - INFO - Epoch(train) [45][1260/1320] lr: 2.0000e-04 eta: 0:25:15 time: 0.2257 data_time: 0.0130 memory: 11037 grad_norm: 12.3245 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3408 loss: 1.3408 2022/08/08 18:40:50 - mmengine - INFO - Epoch(train) [45][1280/1320] lr: 2.0000e-04 eta: 0:25:10 time: 0.2268 data_time: 0.0149 memory: 11037 grad_norm: 11.9221 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2371 loss: 1.2371 2022/08/08 18:40:55 - mmengine - INFO - Epoch(train) [45][1300/1320] lr: 2.0000e-04 eta: 0:25:06 time: 0.2271 data_time: 0.0138 memory: 11037 grad_norm: 12.0084 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.1724 loss: 1.1724 2022/08/08 18:40:59 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:40:59 - mmengine - INFO - Epoch(train) [45][1320/1320] lr: 2.0000e-04 eta: 0:25:01 time: 0.2153 data_time: 0.0125 memory: 11037 grad_norm: 12.4213 top1_acc: 0.9091 top5_acc: 1.0000 loss_cls: 1.1094 loss: 1.1094 2022/08/08 18:40:59 - mmengine - INFO - Saving checkpoint at 45 epochs 2022/08/08 18:41:05 - mmengine - INFO - Epoch(val) [45][20/194] eta: 0:00:29 time: 0.1694 data_time: 0.0875 memory: 1858 2022/08/08 18:41:07 - mmengine - INFO - Epoch(val) [45][40/194] eta: 0:00:17 time: 0.1110 data_time: 0.0358 memory: 1858 2022/08/08 18:41:09 - mmengine - INFO - Epoch(val) [45][60/194] eta: 0:00:15 time: 0.1179 data_time: 0.0424 memory: 1858 2022/08/08 18:41:12 - mmengine - INFO - Epoch(val) [45][80/194] eta: 0:00:12 time: 0.1094 data_time: 0.0316 memory: 1858 2022/08/08 18:41:14 - mmengine - INFO - Epoch(val) [45][100/194] eta: 0:00:11 time: 0.1211 data_time: 0.0460 memory: 1858 2022/08/08 18:41:16 - mmengine - INFO - Epoch(val) [45][120/194] eta: 0:00:08 time: 0.1129 data_time: 0.0338 memory: 1858 2022/08/08 18:41:19 - mmengine - INFO - Epoch(val) [45][140/194] eta: 0:00:06 time: 0.1192 data_time: 0.0423 memory: 1858 2022/08/08 18:41:21 - mmengine - INFO - Epoch(val) [45][160/194] eta: 0:00:03 time: 0.0998 data_time: 0.0222 memory: 1858 2022/08/08 18:41:22 - mmengine - INFO - Epoch(val) [45][180/194] eta: 0:00:01 time: 0.0736 data_time: 0.0163 memory: 1858 2022/08/08 18:41:24 - mmengine - INFO - Epoch(val) [45][194/194] acc/top1: 0.4806 acc/top5: 0.7623 acc/mean1: 0.4092 2022/08/08 18:41:24 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 18:41:30 - mmengine - INFO - Epoch(train) [46][20/1320] lr: 2.0000e-05 eta: 0:24:57 time: 0.2854 data_time: 0.0552 memory: 11037 grad_norm: 11.2222 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1506 loss: 1.1506 2022/08/08 18:41:34 - mmengine - INFO - Epoch(train) [46][40/1320] lr: 2.0000e-05 eta: 0:24:52 time: 0.2263 data_time: 0.0120 memory: 11037 grad_norm: 11.9156 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0871 loss: 1.0871 2022/08/08 18:41:39 - mmengine - INFO - Epoch(train) [46][60/1320] lr: 2.0000e-05 eta: 0:24:48 time: 0.2256 data_time: 0.0146 memory: 11037 grad_norm: 11.7267 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.0478 loss: 1.0478 2022/08/08 18:41:43 - mmengine - INFO - Epoch(train) [46][80/1320] lr: 2.0000e-05 eta: 0:24:43 time: 0.2237 data_time: 0.0126 memory: 11037 grad_norm: 11.7406 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0141 loss: 1.0141 2022/08/08 18:41:48 - mmengine - INFO - Epoch(train) [46][100/1320] lr: 2.0000e-05 eta: 0:24:38 time: 0.2262 data_time: 0.0122 memory: 11037 grad_norm: 11.9022 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3118 loss: 1.3118 2022/08/08 18:41:52 - mmengine - INFO - Epoch(train) [46][120/1320] lr: 2.0000e-05 eta: 0:24:34 time: 0.2270 data_time: 0.0146 memory: 11037 grad_norm: 11.5891 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1710 loss: 1.1710 2022/08/08 18:41:57 - mmengine - INFO - Epoch(train) [46][140/1320] lr: 2.0000e-05 eta: 0:24:29 time: 0.2263 data_time: 0.0143 memory: 11037 grad_norm: 11.8990 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2001 loss: 1.2001 2022/08/08 18:42:01 - mmengine - INFO - Epoch(train) [46][160/1320] lr: 2.0000e-05 eta: 0:24:25 time: 0.2230 data_time: 0.0129 memory: 11037 grad_norm: 11.9694 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0912 loss: 1.0912 2022/08/08 18:42:06 - mmengine - INFO - Epoch(train) [46][180/1320] lr: 2.0000e-05 eta: 0:24:20 time: 0.2272 data_time: 0.0151 memory: 11037 grad_norm: 11.7797 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2123 loss: 1.2123 2022/08/08 18:42:10 - mmengine - INFO - Epoch(train) [46][200/1320] lr: 2.0000e-05 eta: 0:24:16 time: 0.2240 data_time: 0.0136 memory: 11037 grad_norm: 11.8356 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9709 loss: 0.9709 2022/08/08 18:42:15 - mmengine - INFO - Epoch(train) [46][220/1320] lr: 2.0000e-05 eta: 0:24:11 time: 0.2250 data_time: 0.0131 memory: 11037 grad_norm: 11.4743 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0357 loss: 1.0357 2022/08/08 18:42:19 - mmengine - INFO - Epoch(train) [46][240/1320] lr: 2.0000e-05 eta: 0:24:07 time: 0.2346 data_time: 0.0161 memory: 11037 grad_norm: 11.7965 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0242 loss: 1.0242 2022/08/08 18:42:24 - mmengine - INFO - Epoch(train) [46][260/1320] lr: 2.0000e-05 eta: 0:24:02 time: 0.2249 data_time: 0.0119 memory: 11037 grad_norm: 11.8484 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1366 loss: 1.1366 2022/08/08 18:42:28 - mmengine - INFO - Epoch(train) [46][280/1320] lr: 2.0000e-05 eta: 0:23:57 time: 0.2245 data_time: 0.0134 memory: 11037 grad_norm: 11.9434 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0611 loss: 1.0611 2022/08/08 18:42:33 - mmengine - INFO - Epoch(train) [46][300/1320] lr: 2.0000e-05 eta: 0:23:53 time: 0.2266 data_time: 0.0155 memory: 11037 grad_norm: 11.7097 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1576 loss: 1.1576 2022/08/08 18:42:38 - mmengine - INFO - Epoch(train) [46][320/1320] lr: 2.0000e-05 eta: 0:23:48 time: 0.2288 data_time: 0.0143 memory: 11037 grad_norm: 12.0109 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0327 loss: 1.0327 2022/08/08 18:42:42 - mmengine - INFO - Epoch(train) [46][340/1320] lr: 2.0000e-05 eta: 0:23:44 time: 0.2246 data_time: 0.0129 memory: 11037 grad_norm: 11.9634 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1484 loss: 1.1484 2022/08/08 18:42:47 - mmengine - INFO - Epoch(train) [46][360/1320] lr: 2.0000e-05 eta: 0:23:39 time: 0.2271 data_time: 0.0155 memory: 11037 grad_norm: 11.9069 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1779 loss: 1.1779 2022/08/08 18:42:51 - mmengine - INFO - Epoch(train) [46][380/1320] lr: 2.0000e-05 eta: 0:23:35 time: 0.2245 data_time: 0.0135 memory: 11037 grad_norm: 11.9721 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2655 loss: 1.2655 2022/08/08 18:42:56 - mmengine - INFO - Epoch(train) [46][400/1320] lr: 2.0000e-05 eta: 0:23:30 time: 0.2265 data_time: 0.0132 memory: 11037 grad_norm: 11.6981 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1809 loss: 1.1809 2022/08/08 18:43:00 - mmengine - INFO - Epoch(train) [46][420/1320] lr: 2.0000e-05 eta: 0:23:26 time: 0.2254 data_time: 0.0149 memory: 11037 grad_norm: 11.8493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0828 loss: 1.0828 2022/08/08 18:43:05 - mmengine - INFO - Epoch(train) [46][440/1320] lr: 2.0000e-05 eta: 0:23:21 time: 0.2275 data_time: 0.0128 memory: 11037 grad_norm: 11.7543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1043 loss: 1.1043 2022/08/08 18:43:09 - mmengine - INFO - Epoch(train) [46][460/1320] lr: 2.0000e-05 eta: 0:23:16 time: 0.2240 data_time: 0.0117 memory: 11037 grad_norm: 11.9085 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0627 loss: 1.0627 2022/08/08 18:43:14 - mmengine - INFO - Epoch(train) [46][480/1320] lr: 2.0000e-05 eta: 0:23:12 time: 0.2298 data_time: 0.0153 memory: 11037 grad_norm: 11.5033 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0265 loss: 1.0265 2022/08/08 18:43:18 - mmengine - INFO - Epoch(train) [46][500/1320] lr: 2.0000e-05 eta: 0:23:07 time: 0.2250 data_time: 0.0136 memory: 11037 grad_norm: 11.5323 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1287 loss: 1.1287 2022/08/08 18:43:23 - mmengine - INFO - Epoch(train) [46][520/1320] lr: 2.0000e-05 eta: 0:23:03 time: 0.2242 data_time: 0.0142 memory: 11037 grad_norm: 12.1232 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2172 loss: 1.2172 2022/08/08 18:43:27 - mmengine - INFO - Epoch(train) [46][540/1320] lr: 2.0000e-05 eta: 0:22:58 time: 0.2269 data_time: 0.0158 memory: 11037 grad_norm: 11.8781 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1370 loss: 1.1370 2022/08/08 18:43:32 - mmengine - INFO - Epoch(train) [46][560/1320] lr: 2.0000e-05 eta: 0:22:54 time: 0.2241 data_time: 0.0130 memory: 11037 grad_norm: 12.1247 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1544 loss: 1.1544 2022/08/08 18:43:36 - mmengine - INFO - Epoch(train) [46][580/1320] lr: 2.0000e-05 eta: 0:22:49 time: 0.2247 data_time: 0.0123 memory: 11037 grad_norm: 11.7859 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0435 loss: 1.0435 2022/08/08 18:43:41 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:43:41 - mmengine - INFO - Epoch(train) [46][600/1320] lr: 2.0000e-05 eta: 0:22:45 time: 0.2267 data_time: 0.0149 memory: 11037 grad_norm: 12.4140 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.3137 loss: 1.3137 2022/08/08 18:43:45 - mmengine - INFO - Epoch(train) [46][620/1320] lr: 2.0000e-05 eta: 0:22:40 time: 0.2272 data_time: 0.0148 memory: 11037 grad_norm: 11.6285 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1182 loss: 1.1182 2022/08/08 18:43:50 - mmengine - INFO - Epoch(train) [46][640/1320] lr: 2.0000e-05 eta: 0:22:35 time: 0.2254 data_time: 0.0139 memory: 11037 grad_norm: 12.1108 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2924 loss: 1.2924 2022/08/08 18:43:54 - mmengine - INFO - Epoch(train) [46][660/1320] lr: 2.0000e-05 eta: 0:22:31 time: 0.2255 data_time: 0.0145 memory: 11037 grad_norm: 11.8789 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2515 loss: 1.2515 2022/08/08 18:43:59 - mmengine - INFO - Epoch(train) [46][680/1320] lr: 2.0000e-05 eta: 0:22:26 time: 0.2240 data_time: 0.0136 memory: 11037 grad_norm: 12.1741 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1996 loss: 1.1996 2022/08/08 18:44:03 - mmengine - INFO - Epoch(train) [46][700/1320] lr: 2.0000e-05 eta: 0:22:22 time: 0.2254 data_time: 0.0119 memory: 11037 grad_norm: 11.8903 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0983 loss: 1.0983 2022/08/08 18:44:08 - mmengine - INFO - Epoch(train) [46][720/1320] lr: 2.0000e-05 eta: 0:22:17 time: 0.2264 data_time: 0.0146 memory: 11037 grad_norm: 11.6755 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1274 loss: 1.1274 2022/08/08 18:44:12 - mmengine - INFO - Epoch(train) [46][740/1320] lr: 2.0000e-05 eta: 0:22:13 time: 0.2242 data_time: 0.0132 memory: 11037 grad_norm: 11.6444 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1733 loss: 1.1733 2022/08/08 18:44:17 - mmengine - INFO - Epoch(train) [46][760/1320] lr: 2.0000e-05 eta: 0:22:08 time: 0.2237 data_time: 0.0132 memory: 11037 grad_norm: 12.1417 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0981 loss: 1.0981 2022/08/08 18:44:21 - mmengine - INFO - Epoch(train) [46][780/1320] lr: 2.0000e-05 eta: 0:22:04 time: 0.2243 data_time: 0.0132 memory: 11037 grad_norm: 11.9514 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9562 loss: 0.9562 2022/08/08 18:44:26 - mmengine - INFO - Epoch(train) [46][800/1320] lr: 2.0000e-05 eta: 0:21:59 time: 0.2285 data_time: 0.0141 memory: 11037 grad_norm: 11.9933 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1770 loss: 1.1770 2022/08/08 18:44:31 - mmengine - INFO - Epoch(train) [46][820/1320] lr: 2.0000e-05 eta: 0:21:54 time: 0.2245 data_time: 0.0133 memory: 11037 grad_norm: 11.8355 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1906 loss: 1.1906 2022/08/08 18:44:35 - mmengine - INFO - Epoch(train) [46][840/1320] lr: 2.0000e-05 eta: 0:21:50 time: 0.2264 data_time: 0.0149 memory: 11037 grad_norm: 11.8611 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0831 loss: 1.0831 2022/08/08 18:44:40 - mmengine - INFO - Epoch(train) [46][860/1320] lr: 2.0000e-05 eta: 0:21:45 time: 0.2254 data_time: 0.0134 memory: 11037 grad_norm: 12.3402 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2511 loss: 1.2511 2022/08/08 18:44:44 - mmengine - INFO - Epoch(train) [46][880/1320] lr: 2.0000e-05 eta: 0:21:41 time: 0.2278 data_time: 0.0135 memory: 11037 grad_norm: 11.9610 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1035 loss: 1.1035 2022/08/08 18:44:49 - mmengine - INFO - Epoch(train) [46][900/1320] lr: 2.0000e-05 eta: 0:21:36 time: 0.2260 data_time: 0.0147 memory: 11037 grad_norm: 11.8314 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2191 loss: 1.2191 2022/08/08 18:44:53 - mmengine - INFO - Epoch(train) [46][920/1320] lr: 2.0000e-05 eta: 0:21:32 time: 0.2243 data_time: 0.0155 memory: 11037 grad_norm: 11.8318 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2166 loss: 1.2166 2022/08/08 18:44:58 - mmengine - INFO - Epoch(train) [46][940/1320] lr: 2.0000e-05 eta: 0:21:27 time: 0.2250 data_time: 0.0122 memory: 11037 grad_norm: 11.7692 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.1018 loss: 1.1018 2022/08/08 18:45:02 - mmengine - INFO - Epoch(train) [46][960/1320] lr: 2.0000e-05 eta: 0:21:23 time: 0.2228 data_time: 0.0139 memory: 11037 grad_norm: 11.8021 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2658 loss: 1.2658 2022/08/08 18:45:07 - mmengine - INFO - Epoch(train) [46][980/1320] lr: 2.0000e-05 eta: 0:21:18 time: 0.2289 data_time: 0.0152 memory: 11037 grad_norm: 11.7084 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1516 loss: 1.1516 2022/08/08 18:45:11 - mmengine - INFO - Epoch(train) [46][1000/1320] lr: 2.0000e-05 eta: 0:21:13 time: 0.2237 data_time: 0.0145 memory: 11037 grad_norm: 11.7746 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2605 loss: 1.2605 2022/08/08 18:45:16 - mmengine - INFO - Epoch(train) [46][1020/1320] lr: 2.0000e-05 eta: 0:21:09 time: 0.2263 data_time: 0.0156 memory: 11037 grad_norm: 11.7256 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9644 loss: 0.9644 2022/08/08 18:45:20 - mmengine - INFO - Epoch(train) [46][1040/1320] lr: 2.0000e-05 eta: 0:21:04 time: 0.2251 data_time: 0.0137 memory: 11037 grad_norm: 12.1313 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1192 loss: 1.1192 2022/08/08 18:45:25 - mmengine - INFO - Epoch(train) [46][1060/1320] lr: 2.0000e-05 eta: 0:21:00 time: 0.2274 data_time: 0.0138 memory: 11037 grad_norm: 11.7157 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2102 loss: 1.2102 2022/08/08 18:45:29 - mmengine - INFO - Epoch(train) [46][1080/1320] lr: 2.0000e-05 eta: 0:20:55 time: 0.2263 data_time: 0.0157 memory: 11037 grad_norm: 11.7884 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1047 loss: 1.1047 2022/08/08 18:45:34 - mmengine - INFO - Epoch(train) [46][1100/1320] lr: 2.0000e-05 eta: 0:20:51 time: 0.2259 data_time: 0.0142 memory: 11037 grad_norm: 11.8692 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0946 loss: 1.0946 2022/08/08 18:45:38 - mmengine - INFO - Epoch(train) [46][1120/1320] lr: 2.0000e-05 eta: 0:20:46 time: 0.2260 data_time: 0.0127 memory: 11037 grad_norm: 12.0941 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1472 loss: 1.1472 2022/08/08 18:45:43 - mmengine - INFO - Epoch(train) [46][1140/1320] lr: 2.0000e-05 eta: 0:20:42 time: 0.2254 data_time: 0.0147 memory: 11037 grad_norm: 11.5396 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0619 loss: 1.0619 2022/08/08 18:45:47 - mmengine - INFO - Epoch(train) [46][1160/1320] lr: 2.0000e-05 eta: 0:20:37 time: 0.2251 data_time: 0.0132 memory: 11037 grad_norm: 11.7046 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9787 loss: 0.9787 2022/08/08 18:45:52 - mmengine - INFO - Epoch(train) [46][1180/1320] lr: 2.0000e-05 eta: 0:20:33 time: 0.2251 data_time: 0.0132 memory: 11037 grad_norm: 11.6741 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9903 loss: 0.9903 2022/08/08 18:45:56 - mmengine - INFO - Epoch(train) [46][1200/1320] lr: 2.0000e-05 eta: 0:20:28 time: 0.2291 data_time: 0.0165 memory: 11037 grad_norm: 12.0329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2459 loss: 1.2459 2022/08/08 18:46:01 - mmengine - INFO - Epoch(train) [46][1220/1320] lr: 2.0000e-05 eta: 0:20:23 time: 0.2245 data_time: 0.0134 memory: 11037 grad_norm: 11.7661 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1306 loss: 1.1306 2022/08/08 18:46:05 - mmengine - INFO - Epoch(train) [46][1240/1320] lr: 2.0000e-05 eta: 0:20:19 time: 0.2261 data_time: 0.0141 memory: 11037 grad_norm: 12.0057 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2837 loss: 1.2837 2022/08/08 18:46:10 - mmengine - INFO - Epoch(train) [46][1260/1320] lr: 2.0000e-05 eta: 0:20:14 time: 0.2267 data_time: 0.0154 memory: 11037 grad_norm: 11.6778 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0676 loss: 1.0676 2022/08/08 18:46:15 - mmengine - INFO - Epoch(train) [46][1280/1320] lr: 2.0000e-05 eta: 0:20:10 time: 0.2276 data_time: 0.0138 memory: 11037 grad_norm: 11.9940 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9578 loss: 0.9578 2022/08/08 18:46:19 - mmengine - INFO - Epoch(train) [46][1300/1320] lr: 2.0000e-05 eta: 0:20:05 time: 0.2242 data_time: 0.0127 memory: 11037 grad_norm: 11.6626 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0853 loss: 1.0853 2022/08/08 18:46:23 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:46:23 - mmengine - INFO - Epoch(train) [46][1320/1320] lr: 2.0000e-05 eta: 0:20:01 time: 0.2152 data_time: 0.0138 memory: 11037 grad_norm: 12.0975 top1_acc: 0.5455 top5_acc: 0.7273 loss_cls: 1.1081 loss: 1.1081 2022/08/08 18:46:23 - mmengine - INFO - Saving checkpoint at 46 epochs 2022/08/08 18:46:29 - mmengine - INFO - Epoch(val) [46][20/194] eta: 0:00:29 time: 0.1669 data_time: 0.0891 memory: 1858 2022/08/08 18:46:32 - mmengine - INFO - Epoch(val) [46][40/194] eta: 0:00:17 time: 0.1148 data_time: 0.0398 memory: 1858 2022/08/08 18:46:34 - mmengine - INFO - Epoch(val) [46][60/194] eta: 0:00:15 time: 0.1180 data_time: 0.0421 memory: 1858 2022/08/08 18:46:36 - mmengine - INFO - Epoch(val) [46][80/194] eta: 0:00:11 time: 0.0997 data_time: 0.0251 memory: 1858 2022/08/08 18:46:39 - mmengine - INFO - Epoch(val) [46][100/194] eta: 0:00:11 time: 0.1243 data_time: 0.0445 memory: 1858 2022/08/08 18:46:41 - mmengine - INFO - Epoch(val) [46][120/194] eta: 0:00:07 time: 0.1037 data_time: 0.0292 memory: 1858 2022/08/08 18:46:43 - mmengine - INFO - Epoch(val) [46][140/194] eta: 0:00:06 time: 0.1239 data_time: 0.0517 memory: 1858 2022/08/08 18:46:45 - mmengine - INFO - Epoch(val) [46][160/194] eta: 0:00:03 time: 0.0971 data_time: 0.0226 memory: 1858 2022/08/08 18:46:47 - mmengine - INFO - Epoch(val) [46][180/194] eta: 0:00:01 time: 0.0754 data_time: 0.0181 memory: 1858 2022/08/08 18:46:48 - mmengine - INFO - Epoch(val) [46][194/194] acc/top1: 0.4842 acc/top5: 0.7643 acc/mean1: 0.4138 2022/08/08 18:46:48 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 18:46:53 - mmengine - INFO - Epoch(train) [47][20/1320] lr: 2.0000e-05 eta: 0:19:56 time: 0.2623 data_time: 0.0505 memory: 11037 grad_norm: 11.6168 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0286 loss: 1.0286 2022/08/08 18:46:58 - mmengine - INFO - Epoch(train) [47][40/1320] lr: 2.0000e-05 eta: 0:19:52 time: 0.2261 data_time: 0.0143 memory: 11037 grad_norm: 12.0090 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1363 loss: 1.1363 2022/08/08 18:47:03 - mmengine - INFO - Epoch(train) [47][60/1320] lr: 2.0000e-05 eta: 0:19:47 time: 0.2261 data_time: 0.0163 memory: 11037 grad_norm: 12.0550 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2144 loss: 1.2144 2022/08/08 18:47:07 - mmengine - INFO - Epoch(train) [47][80/1320] lr: 2.0000e-05 eta: 0:19:42 time: 0.2292 data_time: 0.0152 memory: 11037 grad_norm: 11.9398 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2104 loss: 1.2104 2022/08/08 18:47:12 - mmengine - INFO - Epoch(train) [47][100/1320] lr: 2.0000e-05 eta: 0:19:38 time: 0.2242 data_time: 0.0136 memory: 11037 grad_norm: 12.1898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2600 loss: 1.2600 2022/08/08 18:47:16 - mmengine - INFO - Epoch(train) [47][120/1320] lr: 2.0000e-05 eta: 0:19:33 time: 0.2261 data_time: 0.0133 memory: 11037 grad_norm: 11.9322 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0699 loss: 1.0699 2022/08/08 18:47:21 - mmengine - INFO - Epoch(train) [47][140/1320] lr: 2.0000e-05 eta: 0:19:29 time: 0.2265 data_time: 0.0147 memory: 11037 grad_norm: 11.5892 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0214 loss: 1.0214 2022/08/08 18:47:25 - mmengine - INFO - Epoch(train) [47][160/1320] lr: 2.0000e-05 eta: 0:19:24 time: 0.2343 data_time: 0.0134 memory: 11037 grad_norm: 11.6747 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0649 loss: 1.0649 2022/08/08 18:47:30 - mmengine - INFO - Epoch(train) [47][180/1320] lr: 2.0000e-05 eta: 0:19:20 time: 0.2244 data_time: 0.0136 memory: 11037 grad_norm: 11.9247 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0302 loss: 1.0302 2022/08/08 18:47:34 - mmengine - INFO - Epoch(train) [47][200/1320] lr: 2.0000e-05 eta: 0:19:15 time: 0.2251 data_time: 0.0144 memory: 11037 grad_norm: 11.6493 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1477 loss: 1.1477 2022/08/08 18:47:39 - mmengine - INFO - Epoch(train) [47][220/1320] lr: 2.0000e-05 eta: 0:19:11 time: 0.2242 data_time: 0.0127 memory: 11037 grad_norm: 12.0013 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.0965 loss: 1.0965 2022/08/08 18:47:43 - mmengine - INFO - Epoch(train) [47][240/1320] lr: 2.0000e-05 eta: 0:19:06 time: 0.2244 data_time: 0.0128 memory: 11037 grad_norm: 11.6486 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0371 loss: 1.0371 2022/08/08 18:47:48 - mmengine - INFO - Epoch(train) [47][260/1320] lr: 2.0000e-05 eta: 0:19:02 time: 0.2470 data_time: 0.0166 memory: 11037 grad_norm: 11.7165 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.2275 loss: 1.2275 2022/08/08 18:47:53 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:47:53 - mmengine - INFO - Epoch(train) [47][280/1320] lr: 2.0000e-05 eta: 0:18:57 time: 0.2250 data_time: 0.0137 memory: 11037 grad_norm: 11.6982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1005 loss: 1.1005 2022/08/08 18:47:57 - mmengine - INFO - Epoch(train) [47][300/1320] lr: 2.0000e-05 eta: 0:18:52 time: 0.2242 data_time: 0.0118 memory: 11037 grad_norm: 11.7297 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0030 loss: 1.0030 2022/08/08 18:48:02 - mmengine - INFO - Epoch(train) [47][320/1320] lr: 2.0000e-05 eta: 0:18:48 time: 0.2246 data_time: 0.0145 memory: 11037 grad_norm: 12.1281 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2076 loss: 1.2076 2022/08/08 18:48:07 - mmengine - INFO - Epoch(train) [47][340/1320] lr: 2.0000e-05 eta: 0:18:43 time: 0.2466 data_time: 0.0124 memory: 11037 grad_norm: 12.0345 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1399 loss: 1.1399 2022/08/08 18:48:11 - mmengine - INFO - Epoch(train) [47][360/1320] lr: 2.0000e-05 eta: 0:18:39 time: 0.2240 data_time: 0.0118 memory: 11037 grad_norm: 11.6969 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1766 loss: 1.1766 2022/08/08 18:48:16 - mmengine - INFO - Epoch(train) [47][380/1320] lr: 2.0000e-05 eta: 0:18:34 time: 0.2267 data_time: 0.0148 memory: 11037 grad_norm: 11.9866 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1311 loss: 1.1311 2022/08/08 18:48:20 - mmengine - INFO - Epoch(train) [47][400/1320] lr: 2.0000e-05 eta: 0:18:30 time: 0.2249 data_time: 0.0154 memory: 11037 grad_norm: 11.8216 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0683 loss: 1.0683 2022/08/08 18:48:25 - mmengine - INFO - Epoch(train) [47][420/1320] lr: 2.0000e-05 eta: 0:18:25 time: 0.2367 data_time: 0.0149 memory: 11037 grad_norm: 11.4608 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0250 loss: 1.0250 2022/08/08 18:48:30 - mmengine - INFO - Epoch(train) [47][440/1320] lr: 2.0000e-05 eta: 0:18:21 time: 0.2267 data_time: 0.0146 memory: 11037 grad_norm: 12.1187 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1204 loss: 1.1204 2022/08/08 18:48:34 - mmengine - INFO - Epoch(train) [47][460/1320] lr: 2.0000e-05 eta: 0:18:16 time: 0.2245 data_time: 0.0120 memory: 11037 grad_norm: 12.0791 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0568 loss: 1.0568 2022/08/08 18:48:39 - mmengine - INFO - Epoch(train) [47][480/1320] lr: 2.0000e-05 eta: 0:18:12 time: 0.2245 data_time: 0.0131 memory: 11037 grad_norm: 12.3188 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1834 loss: 1.1834 2022/08/08 18:48:43 - mmengine - INFO - Epoch(train) [47][500/1320] lr: 2.0000e-05 eta: 0:18:07 time: 0.2265 data_time: 0.0149 memory: 11037 grad_norm: 11.9160 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0578 loss: 1.0578 2022/08/08 18:48:48 - mmengine - INFO - Epoch(train) [47][520/1320] lr: 2.0000e-05 eta: 0:18:02 time: 0.2337 data_time: 0.0134 memory: 11037 grad_norm: 11.9034 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0168 loss: 1.0168 2022/08/08 18:48:52 - mmengine - INFO - Epoch(train) [47][540/1320] lr: 2.0000e-05 eta: 0:17:58 time: 0.2253 data_time: 0.0130 memory: 11037 grad_norm: 11.7440 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2209 loss: 1.2209 2022/08/08 18:48:57 - mmengine - INFO - Epoch(train) [47][560/1320] lr: 2.0000e-05 eta: 0:17:53 time: 0.2270 data_time: 0.0140 memory: 11037 grad_norm: 11.8023 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0287 loss: 1.0287 2022/08/08 18:49:01 - mmengine - INFO - Epoch(train) [47][580/1320] lr: 2.0000e-05 eta: 0:17:49 time: 0.2244 data_time: 0.0138 memory: 11037 grad_norm: 11.7724 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9377 loss: 0.9377 2022/08/08 18:49:06 - mmengine - INFO - Epoch(train) [47][600/1320] lr: 2.0000e-05 eta: 0:17:44 time: 0.2367 data_time: 0.0151 memory: 11037 grad_norm: 11.7130 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1581 loss: 1.1581 2022/08/08 18:49:11 - mmengine - INFO - Epoch(train) [47][620/1320] lr: 2.0000e-05 eta: 0:17:40 time: 0.2257 data_time: 0.0147 memory: 11037 grad_norm: 12.0087 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0014 loss: 1.0014 2022/08/08 18:49:15 - mmengine - INFO - Epoch(train) [47][640/1320] lr: 2.0000e-05 eta: 0:17:35 time: 0.2259 data_time: 0.0127 memory: 11037 grad_norm: 11.6986 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9616 loss: 0.9616 2022/08/08 18:49:20 - mmengine - INFO - Epoch(train) [47][660/1320] lr: 2.0000e-05 eta: 0:17:31 time: 0.2245 data_time: 0.0139 memory: 11037 grad_norm: 11.6990 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8982 loss: 0.8982 2022/08/08 18:49:24 - mmengine - INFO - Epoch(train) [47][680/1320] lr: 2.0000e-05 eta: 0:17:26 time: 0.2288 data_time: 0.0149 memory: 11037 grad_norm: 11.6021 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1707 loss: 1.1707 2022/08/08 18:49:29 - mmengine - INFO - Epoch(train) [47][700/1320] lr: 2.0000e-05 eta: 0:17:21 time: 0.2239 data_time: 0.0124 memory: 11037 grad_norm: 11.9905 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3310 loss: 1.3310 2022/08/08 18:49:33 - mmengine - INFO - Epoch(train) [47][720/1320] lr: 2.0000e-05 eta: 0:17:17 time: 0.2252 data_time: 0.0136 memory: 11037 grad_norm: 12.0590 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0076 loss: 1.0076 2022/08/08 18:49:38 - mmengine - INFO - Epoch(train) [47][740/1320] lr: 2.0000e-05 eta: 0:17:12 time: 0.2269 data_time: 0.0147 memory: 11037 grad_norm: 11.9478 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2313 loss: 1.2313 2022/08/08 18:49:42 - mmengine - INFO - Epoch(train) [47][760/1320] lr: 2.0000e-05 eta: 0:17:08 time: 0.2245 data_time: 0.0130 memory: 11037 grad_norm: 12.0159 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1297 loss: 1.1297 2022/08/08 18:49:47 - mmengine - INFO - Epoch(train) [47][780/1320] lr: 2.0000e-05 eta: 0:17:03 time: 0.2290 data_time: 0.0142 memory: 11037 grad_norm: 11.9658 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1050 loss: 1.1050 2022/08/08 18:49:51 - mmengine - INFO - Epoch(train) [47][800/1320] lr: 2.0000e-05 eta: 0:16:59 time: 0.2289 data_time: 0.0164 memory: 11037 grad_norm: 11.9343 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2531 loss: 1.2531 2022/08/08 18:49:56 - mmengine - INFO - Epoch(train) [47][820/1320] lr: 2.0000e-05 eta: 0:16:54 time: 0.2289 data_time: 0.0139 memory: 11037 grad_norm: 11.2988 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0215 loss: 1.0215 2022/08/08 18:50:00 - mmengine - INFO - Epoch(train) [47][840/1320] lr: 2.0000e-05 eta: 0:16:50 time: 0.2254 data_time: 0.0139 memory: 11037 grad_norm: 11.7946 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2291 loss: 1.2291 2022/08/08 18:50:05 - mmengine - INFO - Epoch(train) [47][860/1320] lr: 2.0000e-05 eta: 0:16:45 time: 0.2287 data_time: 0.0186 memory: 11037 grad_norm: 11.8049 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0660 loss: 1.0660 2022/08/08 18:50:09 - mmengine - INFO - Epoch(train) [47][880/1320] lr: 2.0000e-05 eta: 0:16:40 time: 0.2239 data_time: 0.0134 memory: 11037 grad_norm: 11.6882 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1830 loss: 1.1830 2022/08/08 18:50:14 - mmengine - INFO - Epoch(train) [47][900/1320] lr: 2.0000e-05 eta: 0:16:36 time: 0.2310 data_time: 0.0133 memory: 11037 grad_norm: 12.0229 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9847 loss: 0.9847 2022/08/08 18:50:19 - mmengine - INFO - Epoch(train) [47][920/1320] lr: 2.0000e-05 eta: 0:16:31 time: 0.2267 data_time: 0.0142 memory: 11037 grad_norm: 11.5958 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0517 loss: 1.0517 2022/08/08 18:50:23 - mmengine - INFO - Epoch(train) [47][940/1320] lr: 2.0000e-05 eta: 0:16:27 time: 0.2258 data_time: 0.0147 memory: 11037 grad_norm: 11.8258 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0197 loss: 1.0197 2022/08/08 18:50:28 - mmengine - INFO - Epoch(train) [47][960/1320] lr: 2.0000e-05 eta: 0:16:22 time: 0.2259 data_time: 0.0128 memory: 11037 grad_norm: 12.2373 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0184 loss: 1.0184 2022/08/08 18:50:32 - mmengine - INFO - Epoch(train) [47][980/1320] lr: 2.0000e-05 eta: 0:16:18 time: 0.2269 data_time: 0.0145 memory: 11037 grad_norm: 12.2224 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2741 loss: 1.2741 2022/08/08 18:50:37 - mmengine - INFO - Epoch(train) [47][1000/1320] lr: 2.0000e-05 eta: 0:16:13 time: 0.2252 data_time: 0.0140 memory: 11037 grad_norm: 12.0521 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0429 loss: 1.0429 2022/08/08 18:50:41 - mmengine - INFO - Epoch(train) [47][1020/1320] lr: 2.0000e-05 eta: 0:16:09 time: 0.2247 data_time: 0.0140 memory: 11037 grad_norm: 11.9072 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1657 loss: 1.1657 2022/08/08 18:50:46 - mmengine - INFO - Epoch(train) [47][1040/1320] lr: 2.0000e-05 eta: 0:16:04 time: 0.2293 data_time: 0.0152 memory: 11037 grad_norm: 12.0529 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1464 loss: 1.1464 2022/08/08 18:50:50 - mmengine - INFO - Epoch(train) [47][1060/1320] lr: 2.0000e-05 eta: 0:16:00 time: 0.2251 data_time: 0.0137 memory: 11037 grad_norm: 11.6678 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0101 loss: 1.0101 2022/08/08 18:50:55 - mmengine - INFO - Epoch(train) [47][1080/1320] lr: 2.0000e-05 eta: 0:15:55 time: 0.2262 data_time: 0.0137 memory: 11037 grad_norm: 12.3255 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1550 loss: 1.1550 2022/08/08 18:50:59 - mmengine - INFO - Epoch(train) [47][1100/1320] lr: 2.0000e-05 eta: 0:15:50 time: 0.2258 data_time: 0.0149 memory: 11037 grad_norm: 11.9643 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0697 loss: 1.0697 2022/08/08 18:51:04 - mmengine - INFO - Epoch(train) [47][1120/1320] lr: 2.0000e-05 eta: 0:15:46 time: 0.2244 data_time: 0.0134 memory: 11037 grad_norm: 11.9162 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0706 loss: 1.0706 2022/08/08 18:51:08 - mmengine - INFO - Epoch(train) [47][1140/1320] lr: 2.0000e-05 eta: 0:15:41 time: 0.2301 data_time: 0.0143 memory: 11037 grad_norm: 11.7877 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2500 loss: 1.2500 2022/08/08 18:51:13 - mmengine - INFO - Epoch(train) [47][1160/1320] lr: 2.0000e-05 eta: 0:15:37 time: 0.2267 data_time: 0.0152 memory: 11037 grad_norm: 12.1325 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2144 loss: 1.2144 2022/08/08 18:51:18 - mmengine - INFO - Epoch(train) [47][1180/1320] lr: 2.0000e-05 eta: 0:15:32 time: 0.2246 data_time: 0.0129 memory: 11037 grad_norm: 11.4267 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0872 loss: 1.0872 2022/08/08 18:51:22 - mmengine - INFO - Epoch(train) [47][1200/1320] lr: 2.0000e-05 eta: 0:15:28 time: 0.2254 data_time: 0.0129 memory: 11037 grad_norm: 11.6830 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0542 loss: 1.0542 2022/08/08 18:51:27 - mmengine - INFO - Epoch(train) [47][1220/1320] lr: 2.0000e-05 eta: 0:15:23 time: 0.2303 data_time: 0.0148 memory: 11037 grad_norm: 12.0457 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0289 loss: 1.0289 2022/08/08 18:51:31 - mmengine - INFO - Epoch(train) [47][1240/1320] lr: 2.0000e-05 eta: 0:15:19 time: 0.2252 data_time: 0.0137 memory: 11037 grad_norm: 12.1176 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2494 loss: 1.2494 2022/08/08 18:51:36 - mmengine - INFO - Epoch(train) [47][1260/1320] lr: 2.0000e-05 eta: 0:15:14 time: 0.2248 data_time: 0.0163 memory: 11037 grad_norm: 11.9618 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0792 loss: 1.0792 2022/08/08 18:51:40 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:51:40 - mmengine - INFO - Epoch(train) [47][1280/1320] lr: 2.0000e-05 eta: 0:15:09 time: 0.2257 data_time: 0.0144 memory: 11037 grad_norm: 11.7207 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1272 loss: 1.1272 2022/08/08 18:51:45 - mmengine - INFO - Epoch(train) [47][1300/1320] lr: 2.0000e-05 eta: 0:15:05 time: 0.2292 data_time: 0.0136 memory: 11037 grad_norm: 12.0105 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.2298 loss: 1.2298 2022/08/08 18:51:49 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:51:49 - mmengine - INFO - Epoch(train) [47][1320/1320] lr: 2.0000e-05 eta: 0:15:00 time: 0.2158 data_time: 0.0138 memory: 11037 grad_norm: 12.2280 top1_acc: 0.7273 top5_acc: 0.8182 loss_cls: 1.1091 loss: 1.1091 2022/08/08 18:51:49 - mmengine - INFO - Saving checkpoint at 47 epochs 2022/08/08 18:51:55 - mmengine - INFO - Epoch(val) [47][20/194] eta: 0:00:27 time: 0.1582 data_time: 0.0839 memory: 1858 2022/08/08 18:51:57 - mmengine - INFO - Epoch(val) [47][40/194] eta: 0:00:17 time: 0.1141 data_time: 0.0340 memory: 1858 2022/08/08 18:52:00 - mmengine - INFO - Epoch(val) [47][60/194] eta: 0:00:15 time: 0.1141 data_time: 0.0352 memory: 1858 2022/08/08 18:52:02 - mmengine - INFO - Epoch(val) [47][80/194] eta: 0:00:11 time: 0.1052 data_time: 0.0303 memory: 1858 2022/08/08 18:52:04 - mmengine - INFO - Epoch(val) [47][100/194] eta: 0:00:12 time: 0.1296 data_time: 0.0517 memory: 1858 2022/08/08 18:52:07 - mmengine - INFO - Epoch(val) [47][120/194] eta: 0:00:08 time: 0.1160 data_time: 0.0403 memory: 1858 2022/08/08 18:52:09 - mmengine - INFO - Epoch(val) [47][140/194] eta: 0:00:06 time: 0.1221 data_time: 0.0463 memory: 1858 2022/08/08 18:52:11 - mmengine - INFO - Epoch(val) [47][160/194] eta: 0:00:03 time: 0.0932 data_time: 0.0229 memory: 1858 2022/08/08 18:52:12 - mmengine - INFO - Epoch(val) [47][180/194] eta: 0:00:00 time: 0.0711 data_time: 0.0139 memory: 1858 2022/08/08 18:52:14 - mmengine - INFO - Epoch(val) [47][194/194] acc/top1: 0.4825 acc/top5: 0.7658 acc/mean1: 0.4095 2022/08/08 18:52:14 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 18:52:19 - mmengine - INFO - Epoch(train) [48][20/1320] lr: 2.0000e-05 eta: 0:14:56 time: 0.2654 data_time: 0.0480 memory: 11037 grad_norm: 11.7769 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0259 loss: 1.0259 2022/08/08 18:52:24 - mmengine - INFO - Epoch(train) [48][40/1320] lr: 2.0000e-05 eta: 0:14:51 time: 0.2256 data_time: 0.0145 memory: 11037 grad_norm: 11.9754 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1663 loss: 1.1663 2022/08/08 18:52:29 - mmengine - INFO - Epoch(train) [48][60/1320] lr: 2.0000e-05 eta: 0:14:47 time: 0.2259 data_time: 0.0146 memory: 11037 grad_norm: 12.0217 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.2453 loss: 1.2453 2022/08/08 18:52:33 - mmengine - INFO - Epoch(train) [48][80/1320] lr: 2.0000e-05 eta: 0:14:42 time: 0.2278 data_time: 0.0160 memory: 11037 grad_norm: 11.5843 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0667 loss: 1.0667 2022/08/08 18:52:38 - mmengine - INFO - Epoch(train) [48][100/1320] lr: 2.0000e-05 eta: 0:14:38 time: 0.2248 data_time: 0.0128 memory: 11037 grad_norm: 12.1188 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2899 loss: 1.2899 2022/08/08 18:52:42 - mmengine - INFO - Epoch(train) [48][120/1320] lr: 2.0000e-05 eta: 0:14:33 time: 0.2249 data_time: 0.0135 memory: 11037 grad_norm: 12.1013 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2339 loss: 1.2339 2022/08/08 18:52:47 - mmengine - INFO - Epoch(train) [48][140/1320] lr: 2.0000e-05 eta: 0:14:29 time: 0.2298 data_time: 0.0149 memory: 11037 grad_norm: 12.1988 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0874 loss: 1.0874 2022/08/08 18:52:51 - mmengine - INFO - Epoch(train) [48][160/1320] lr: 2.0000e-05 eta: 0:14:24 time: 0.2247 data_time: 0.0128 memory: 11037 grad_norm: 12.0240 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2370 loss: 1.2370 2022/08/08 18:52:56 - mmengine - INFO - Epoch(train) [48][180/1320] lr: 2.0000e-05 eta: 0:14:19 time: 0.2333 data_time: 0.0116 memory: 11037 grad_norm: 11.7392 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2462 loss: 1.2462 2022/08/08 18:53:00 - mmengine - INFO - Epoch(train) [48][200/1320] lr: 2.0000e-05 eta: 0:14:15 time: 0.2259 data_time: 0.0144 memory: 11037 grad_norm: 11.9544 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1435 loss: 1.1435 2022/08/08 18:53:05 - mmengine - INFO - Epoch(train) [48][220/1320] lr: 2.0000e-05 eta: 0:14:10 time: 0.2288 data_time: 0.0140 memory: 11037 grad_norm: 11.8041 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0923 loss: 1.0923 2022/08/08 18:53:09 - mmengine - INFO - Epoch(train) [48][240/1320] lr: 2.0000e-05 eta: 0:14:06 time: 0.2237 data_time: 0.0150 memory: 11037 grad_norm: 11.6977 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0612 loss: 1.0612 2022/08/08 18:53:14 - mmengine - INFO - Epoch(train) [48][260/1320] lr: 2.0000e-05 eta: 0:14:01 time: 0.2264 data_time: 0.0151 memory: 11037 grad_norm: 11.9389 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.1648 loss: 1.1648 2022/08/08 18:53:19 - mmengine - INFO - Epoch(train) [48][280/1320] lr: 2.0000e-05 eta: 0:13:57 time: 0.2288 data_time: 0.0135 memory: 11037 grad_norm: 12.0209 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3033 loss: 1.3033 2022/08/08 18:53:23 - mmengine - INFO - Epoch(train) [48][300/1320] lr: 2.0000e-05 eta: 0:13:52 time: 0.2236 data_time: 0.0128 memory: 11037 grad_norm: 11.9860 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1819 loss: 1.1819 2022/08/08 18:53:28 - mmengine - INFO - Epoch(train) [48][320/1320] lr: 2.0000e-05 eta: 0:13:48 time: 0.2277 data_time: 0.0138 memory: 11037 grad_norm: 11.8175 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2697 loss: 1.2697 2022/08/08 18:53:32 - mmengine - INFO - Epoch(train) [48][340/1320] lr: 2.0000e-05 eta: 0:13:43 time: 0.2246 data_time: 0.0135 memory: 11037 grad_norm: 12.2061 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2239 loss: 1.2239 2022/08/08 18:53:37 - mmengine - INFO - Epoch(train) [48][360/1320] lr: 2.0000e-05 eta: 0:13:38 time: 0.2270 data_time: 0.0120 memory: 11037 grad_norm: 11.5508 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0464 loss: 1.0464 2022/08/08 18:53:41 - mmengine - INFO - Epoch(train) [48][380/1320] lr: 2.0000e-05 eta: 0:13:34 time: 0.2248 data_time: 0.0144 memory: 11037 grad_norm: 11.7794 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1281 loss: 1.1281 2022/08/08 18:53:46 - mmengine - INFO - Epoch(train) [48][400/1320] lr: 2.0000e-05 eta: 0:13:29 time: 0.2290 data_time: 0.0153 memory: 11037 grad_norm: 11.9719 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9463 loss: 0.9463 2022/08/08 18:53:50 - mmengine - INFO - Epoch(train) [48][420/1320] lr: 2.0000e-05 eta: 0:13:25 time: 0.2252 data_time: 0.0139 memory: 11037 grad_norm: 11.8768 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0820 loss: 1.0820 2022/08/08 18:53:55 - mmengine - INFO - Epoch(train) [48][440/1320] lr: 2.0000e-05 eta: 0:13:20 time: 0.2260 data_time: 0.0134 memory: 11037 grad_norm: 12.1903 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.1369 loss: 1.1369 2022/08/08 18:53:59 - mmengine - INFO - Epoch(train) [48][460/1320] lr: 2.0000e-05 eta: 0:13:16 time: 0.2256 data_time: 0.0142 memory: 11037 grad_norm: 12.0148 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2391 loss: 1.2391 2022/08/08 18:54:04 - mmengine - INFO - Epoch(train) [48][480/1320] lr: 2.0000e-05 eta: 0:13:11 time: 0.2241 data_time: 0.0122 memory: 11037 grad_norm: 12.3058 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1655 loss: 1.1655 2022/08/08 18:54:08 - mmengine - INFO - Epoch(train) [48][500/1320] lr: 2.0000e-05 eta: 0:13:07 time: 0.2373 data_time: 0.0159 memory: 11037 grad_norm: 12.0022 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1456 loss: 1.1456 2022/08/08 18:54:13 - mmengine - INFO - Epoch(train) [48][520/1320] lr: 2.0000e-05 eta: 0:13:02 time: 0.2252 data_time: 0.0132 memory: 11037 grad_norm: 12.3612 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1928 loss: 1.1928 2022/08/08 18:54:18 - mmengine - INFO - Epoch(train) [48][540/1320] lr: 2.0000e-05 eta: 0:12:58 time: 0.2262 data_time: 0.0132 memory: 11037 grad_norm: 12.0180 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0592 loss: 1.0592 2022/08/08 18:54:22 - mmengine - INFO - Epoch(train) [48][560/1320] lr: 2.0000e-05 eta: 0:12:53 time: 0.2249 data_time: 0.0141 memory: 11037 grad_norm: 12.0685 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2048 loss: 1.2048 2022/08/08 18:54:27 - mmengine - INFO - Epoch(train) [48][580/1320] lr: 2.0000e-05 eta: 0:12:48 time: 0.2367 data_time: 0.0139 memory: 11037 grad_norm: 11.5548 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1763 loss: 1.1763 2022/08/08 18:54:31 - mmengine - INFO - Epoch(train) [48][600/1320] lr: 2.0000e-05 eta: 0:12:44 time: 0.2240 data_time: 0.0134 memory: 11037 grad_norm: 11.8757 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2098 loss: 1.2098 2022/08/08 18:54:36 - mmengine - INFO - Epoch(train) [48][620/1320] lr: 2.0000e-05 eta: 0:12:39 time: 0.2292 data_time: 0.0143 memory: 11037 grad_norm: 12.1077 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0594 loss: 1.0594 2022/08/08 18:54:40 - mmengine - INFO - Epoch(train) [48][640/1320] lr: 2.0000e-05 eta: 0:12:35 time: 0.2249 data_time: 0.0132 memory: 11037 grad_norm: 11.8707 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1325 loss: 1.1325 2022/08/08 18:54:45 - mmengine - INFO - Epoch(train) [48][660/1320] lr: 2.0000e-05 eta: 0:12:30 time: 0.2274 data_time: 0.0125 memory: 11037 grad_norm: 11.7496 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0377 loss: 1.0377 2022/08/08 18:54:49 - mmengine - INFO - Epoch(train) [48][680/1320] lr: 2.0000e-05 eta: 0:12:26 time: 0.2278 data_time: 0.0143 memory: 11037 grad_norm: 11.9512 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1678 loss: 1.1678 2022/08/08 18:54:54 - mmengine - INFO - Epoch(train) [48][700/1320] lr: 2.0000e-05 eta: 0:12:21 time: 0.2243 data_time: 0.0135 memory: 11037 grad_norm: 11.7642 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2372 loss: 1.2372 2022/08/08 18:54:58 - mmengine - INFO - Epoch(train) [48][720/1320] lr: 2.0000e-05 eta: 0:12:17 time: 0.2231 data_time: 0.0143 memory: 11037 grad_norm: 11.6323 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0646 loss: 1.0646 2022/08/08 18:55:03 - mmengine - INFO - Epoch(train) [48][740/1320] lr: 2.0000e-05 eta: 0:12:12 time: 0.2251 data_time: 0.0144 memory: 11037 grad_norm: 12.4844 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2308 loss: 1.2308 2022/08/08 18:55:07 - mmengine - INFO - Epoch(train) [48][760/1320] lr: 2.0000e-05 eta: 0:12:07 time: 0.2267 data_time: 0.0138 memory: 11037 grad_norm: 11.9027 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0147 loss: 1.0147 2022/08/08 18:55:12 - mmengine - INFO - Epoch(train) [48][780/1320] lr: 2.0000e-05 eta: 0:12:03 time: 0.2246 data_time: 0.0134 memory: 11037 grad_norm: 11.8616 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1459 loss: 1.1459 2022/08/08 18:55:16 - mmengine - INFO - Epoch(train) [48][800/1320] lr: 2.0000e-05 eta: 0:11:58 time: 0.2261 data_time: 0.0137 memory: 11037 grad_norm: 11.9721 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1539 loss: 1.1539 2022/08/08 18:55:21 - mmengine - INFO - Epoch(train) [48][820/1320] lr: 2.0000e-05 eta: 0:11:54 time: 0.2259 data_time: 0.0138 memory: 11037 grad_norm: 11.9980 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1524 loss: 1.1524 2022/08/08 18:55:26 - mmengine - INFO - Epoch(train) [48][840/1320] lr: 2.0000e-05 eta: 0:11:49 time: 0.2265 data_time: 0.0142 memory: 11037 grad_norm: 11.9672 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1516 loss: 1.1516 2022/08/08 18:55:30 - mmengine - INFO - Epoch(train) [48][860/1320] lr: 2.0000e-05 eta: 0:11:45 time: 0.2268 data_time: 0.0142 memory: 11037 grad_norm: 11.9029 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0865 loss: 1.0865 2022/08/08 18:55:35 - mmengine - INFO - Epoch(train) [48][880/1320] lr: 2.0000e-05 eta: 0:11:40 time: 0.2254 data_time: 0.0140 memory: 11037 grad_norm: 11.9110 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0198 loss: 1.0198 2022/08/08 18:55:39 - mmengine - INFO - Epoch(train) [48][900/1320] lr: 2.0000e-05 eta: 0:11:36 time: 0.2255 data_time: 0.0139 memory: 11037 grad_norm: 12.2881 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9945 loss: 0.9945 2022/08/08 18:55:44 - mmengine - INFO - Epoch(train) [48][920/1320] lr: 2.0000e-05 eta: 0:11:31 time: 0.2254 data_time: 0.0154 memory: 11037 grad_norm: 11.9561 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9648 loss: 0.9648 2022/08/08 18:55:48 - mmengine - INFO - Epoch(train) [48][940/1320] lr: 2.0000e-05 eta: 0:11:27 time: 0.2268 data_time: 0.0147 memory: 11037 grad_norm: 11.5529 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1842 loss: 1.1842 2022/08/08 18:55:53 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:55:53 - mmengine - INFO - Epoch(train) [48][960/1320] lr: 2.0000e-05 eta: 0:11:22 time: 0.2256 data_time: 0.0141 memory: 11037 grad_norm: 11.5930 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0020 loss: 1.0020 2022/08/08 18:55:57 - mmengine - INFO - Epoch(train) [48][980/1320] lr: 2.0000e-05 eta: 0:11:17 time: 0.2277 data_time: 0.0151 memory: 11037 grad_norm: 11.7281 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0517 loss: 1.0517 2022/08/08 18:56:02 - mmengine - INFO - Epoch(train) [48][1000/1320] lr: 2.0000e-05 eta: 0:11:13 time: 0.2244 data_time: 0.0137 memory: 11037 grad_norm: 12.0280 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0939 loss: 1.0939 2022/08/08 18:56:06 - mmengine - INFO - Epoch(train) [48][1020/1320] lr: 2.0000e-05 eta: 0:11:08 time: 0.2263 data_time: 0.0120 memory: 11037 grad_norm: 11.9155 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0401 loss: 1.0401 2022/08/08 18:56:11 - mmengine - INFO - Epoch(train) [48][1040/1320] lr: 2.0000e-05 eta: 0:11:04 time: 0.2262 data_time: 0.0145 memory: 11037 grad_norm: 12.1349 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1809 loss: 1.1809 2022/08/08 18:56:15 - mmengine - INFO - Epoch(train) [48][1060/1320] lr: 2.0000e-05 eta: 0:10:59 time: 0.2238 data_time: 0.0128 memory: 11037 grad_norm: 11.8799 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9803 loss: 0.9803 2022/08/08 18:56:20 - mmengine - INFO - Epoch(train) [48][1080/1320] lr: 2.0000e-05 eta: 0:10:55 time: 0.2248 data_time: 0.0144 memory: 11037 grad_norm: 12.1297 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9700 loss: 0.9700 2022/08/08 18:56:24 - mmengine - INFO - Epoch(train) [48][1100/1320] lr: 2.0000e-05 eta: 0:10:50 time: 0.2264 data_time: 0.0143 memory: 11037 grad_norm: 11.5465 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1566 loss: 1.1566 2022/08/08 18:56:29 - mmengine - INFO - Epoch(train) [48][1120/1320] lr: 2.0000e-05 eta: 0:10:46 time: 0.2283 data_time: 0.0156 memory: 11037 grad_norm: 11.8194 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1311 loss: 1.1311 2022/08/08 18:56:33 - mmengine - INFO - Epoch(train) [48][1140/1320] lr: 2.0000e-05 eta: 0:10:41 time: 0.2244 data_time: 0.0126 memory: 11037 grad_norm: 11.5737 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0540 loss: 1.0540 2022/08/08 18:56:38 - mmengine - INFO - Epoch(train) [48][1160/1320] lr: 2.0000e-05 eta: 0:10:36 time: 0.2270 data_time: 0.0149 memory: 11037 grad_norm: 12.0871 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2728 loss: 1.2728 2022/08/08 18:56:42 - mmengine - INFO - Epoch(train) [48][1180/1320] lr: 2.0000e-05 eta: 0:10:32 time: 0.2256 data_time: 0.0129 memory: 11037 grad_norm: 12.0074 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3409 loss: 1.3409 2022/08/08 18:56:47 - mmengine - INFO - Epoch(train) [48][1200/1320] lr: 2.0000e-05 eta: 0:10:27 time: 0.2266 data_time: 0.0126 memory: 11037 grad_norm: 11.7534 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1522 loss: 1.1522 2022/08/08 18:56:52 - mmengine - INFO - Epoch(train) [48][1220/1320] lr: 2.0000e-05 eta: 0:10:23 time: 0.2285 data_time: 0.0158 memory: 11037 grad_norm: 11.7892 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0977 loss: 1.0977 2022/08/08 18:56:56 - mmengine - INFO - Epoch(train) [48][1240/1320] lr: 2.0000e-05 eta: 0:10:18 time: 0.2267 data_time: 0.0136 memory: 11037 grad_norm: 12.0650 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0644 loss: 1.0644 2022/08/08 18:57:01 - mmengine - INFO - Epoch(train) [48][1260/1320] lr: 2.0000e-05 eta: 0:10:14 time: 0.2247 data_time: 0.0133 memory: 11037 grad_norm: 12.1075 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1376 loss: 1.1376 2022/08/08 18:57:05 - mmengine - INFO - Epoch(train) [48][1280/1320] lr: 2.0000e-05 eta: 0:10:09 time: 0.2320 data_time: 0.0158 memory: 11037 grad_norm: 11.8561 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0195 loss: 1.0195 2022/08/08 18:57:10 - mmengine - INFO - Epoch(train) [48][1300/1320] lr: 2.0000e-05 eta: 0:10:05 time: 0.2247 data_time: 0.0145 memory: 11037 grad_norm: 12.0126 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0909 loss: 1.0909 2022/08/08 18:57:14 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 18:57:14 - mmengine - INFO - Epoch(train) [48][1320/1320] lr: 2.0000e-05 eta: 0:10:00 time: 0.2143 data_time: 0.0134 memory: 11037 grad_norm: 12.0032 top1_acc: 0.5455 top5_acc: 0.9091 loss_cls: 1.1128 loss: 1.1128 2022/08/08 18:57:14 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/08/08 18:57:20 - mmengine - INFO - Epoch(val) [48][20/194] eta: 0:00:30 time: 0.1735 data_time: 0.0965 memory: 1858 2022/08/08 18:57:22 - mmengine - INFO - Epoch(val) [48][40/194] eta: 0:00:17 time: 0.1147 data_time: 0.0362 memory: 1858 2022/08/08 18:57:24 - mmengine - INFO - Epoch(val) [48][60/194] eta: 0:00:15 time: 0.1142 data_time: 0.0362 memory: 1858 2022/08/08 18:57:26 - mmengine - INFO - Epoch(val) [48][80/194] eta: 0:00:11 time: 0.1034 data_time: 0.0199 memory: 1858 2022/08/08 18:57:29 - mmengine - INFO - Epoch(val) [48][100/194] eta: 0:00:11 time: 0.1178 data_time: 0.0392 memory: 1858 2022/08/08 18:57:31 - mmengine - INFO - Epoch(val) [48][120/194] eta: 0:00:07 time: 0.1054 data_time: 0.0271 memory: 1858 2022/08/08 18:57:33 - mmengine - INFO - Epoch(val) [48][140/194] eta: 0:00:06 time: 0.1203 data_time: 0.0403 memory: 1858 2022/08/08 18:57:35 - mmengine - INFO - Epoch(val) [48][160/194] eta: 0:00:03 time: 0.0992 data_time: 0.0262 memory: 1858 2022/08/08 18:57:37 - mmengine - INFO - Epoch(val) [48][180/194] eta: 0:00:01 time: 0.0894 data_time: 0.0319 memory: 1858 2022/08/08 18:57:39 - mmengine - INFO - Epoch(val) [48][194/194] acc/top1: 0.4854 acc/top5: 0.7653 acc/mean1: 0.4145 2022/08/08 18:57:39 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/trn_r50_1x1x8_50e_8xb16_sthv2_rgb/best_acc/top1_epoch_38.pth is removed 2022/08/08 18:57:40 - mmengine - INFO - The best checkpoint with 0.4854 acc/top1 at 49 epoch is saved to best_acc/top1_epoch_49.pth. 2022/08/08 18:57:40 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 18:57:45 - mmengine - INFO - Epoch(train) [49][20/1320] lr: 2.0000e-05 eta: 0:09:56 time: 0.2538 data_time: 0.0396 memory: 11037 grad_norm: 11.5652 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0954 loss: 1.0954 2022/08/08 18:57:50 - mmengine - INFO - Epoch(train) [49][40/1320] lr: 2.0000e-05 eta: 0:09:51 time: 0.2251 data_time: 0.0132 memory: 11037 grad_norm: 11.9131 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0577 loss: 1.0577 2022/08/08 18:57:54 - mmengine - INFO - Epoch(train) [49][60/1320] lr: 2.0000e-05 eta: 0:09:46 time: 0.2247 data_time: 0.0161 memory: 11037 grad_norm: 11.8467 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0221 loss: 1.0221 2022/08/08 18:57:59 - mmengine - INFO - Epoch(train) [49][80/1320] lr: 2.0000e-05 eta: 0:09:42 time: 0.2321 data_time: 0.0130 memory: 11037 grad_norm: 12.2781 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1181 loss: 1.1181 2022/08/08 18:58:03 - mmengine - INFO - Epoch(train) [49][100/1320] lr: 2.0000e-05 eta: 0:09:37 time: 0.2248 data_time: 0.0136 memory: 11037 grad_norm: 12.0088 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0308 loss: 1.0308 2022/08/08 18:58:08 - mmengine - INFO - Epoch(train) [49][120/1320] lr: 2.0000e-05 eta: 0:09:33 time: 0.2268 data_time: 0.0148 memory: 11037 grad_norm: 11.4202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0099 loss: 1.0099 2022/08/08 18:58:12 - mmengine - INFO - Epoch(train) [49][140/1320] lr: 2.0000e-05 eta: 0:09:28 time: 0.2234 data_time: 0.0148 memory: 11037 grad_norm: 12.1359 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2325 loss: 1.2325 2022/08/08 18:58:17 - mmengine - INFO - Epoch(train) [49][160/1320] lr: 2.0000e-05 eta: 0:09:24 time: 0.2288 data_time: 0.0141 memory: 11037 grad_norm: 12.1616 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2128 loss: 1.2128 2022/08/08 18:58:21 - mmengine - INFO - Epoch(train) [49][180/1320] lr: 2.0000e-05 eta: 0:09:19 time: 0.2254 data_time: 0.0134 memory: 11037 grad_norm: 11.6942 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1505 loss: 1.1505 2022/08/08 18:58:26 - mmengine - INFO - Epoch(train) [49][200/1320] lr: 2.0000e-05 eta: 0:09:15 time: 0.2237 data_time: 0.0129 memory: 11037 grad_norm: 11.9978 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0936 loss: 1.0936 2022/08/08 18:58:30 - mmengine - INFO - Epoch(train) [49][220/1320] lr: 2.0000e-05 eta: 0:09:10 time: 0.2249 data_time: 0.0149 memory: 11037 grad_norm: 11.8202 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0055 loss: 1.0055 2022/08/08 18:58:35 - mmengine - INFO - Epoch(train) [49][240/1320] lr: 2.0000e-05 eta: 0:09:05 time: 0.2271 data_time: 0.0147 memory: 11037 grad_norm: 11.7760 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1959 loss: 1.1959 2022/08/08 18:58:40 - mmengine - INFO - Epoch(train) [49][260/1320] lr: 2.0000e-05 eta: 0:09:01 time: 0.2261 data_time: 0.0120 memory: 11037 grad_norm: 11.7889 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0860 loss: 1.0860 2022/08/08 18:58:44 - mmengine - INFO - Epoch(train) [49][280/1320] lr: 2.0000e-05 eta: 0:08:56 time: 0.2259 data_time: 0.0137 memory: 11037 grad_norm: 11.7708 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0535 loss: 1.0535 2022/08/08 18:58:49 - mmengine - INFO - Epoch(train) [49][300/1320] lr: 2.0000e-05 eta: 0:08:52 time: 0.2257 data_time: 0.0141 memory: 11037 grad_norm: 12.0290 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2096 loss: 1.2096 2022/08/08 18:58:53 - mmengine - INFO - Epoch(train) [49][320/1320] lr: 2.0000e-05 eta: 0:08:47 time: 0.2257 data_time: 0.0131 memory: 11037 grad_norm: 12.1847 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1000 loss: 1.1000 2022/08/08 18:58:58 - mmengine - INFO - Epoch(train) [49][340/1320] lr: 2.0000e-05 eta: 0:08:43 time: 0.2356 data_time: 0.0144 memory: 11037 grad_norm: 12.0383 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0670 loss: 1.0670 2022/08/08 18:59:02 - mmengine - INFO - Epoch(train) [49][360/1320] lr: 2.0000e-05 eta: 0:08:38 time: 0.2249 data_time: 0.0149 memory: 11037 grad_norm: 12.0425 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2884 loss: 1.2884 2022/08/08 18:59:07 - mmengine - INFO - Epoch(train) [49][380/1320] lr: 2.0000e-05 eta: 0:08:34 time: 0.2257 data_time: 0.0136 memory: 11037 grad_norm: 11.3116 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1371 loss: 1.1371 2022/08/08 18:59:11 - mmengine - INFO - Epoch(train) [49][400/1320] lr: 2.0000e-05 eta: 0:08:29 time: 0.2252 data_time: 0.0134 memory: 11037 grad_norm: 12.3155 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1326 loss: 1.1326 2022/08/08 18:59:16 - mmengine - INFO - Epoch(train) [49][420/1320] lr: 2.0000e-05 eta: 0:08:25 time: 0.2321 data_time: 0.0152 memory: 11037 grad_norm: 11.8582 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.1418 loss: 1.1418 2022/08/08 18:59:21 - mmengine - INFO - Epoch(train) [49][440/1320] lr: 2.0000e-05 eta: 0:08:20 time: 0.2264 data_time: 0.0177 memory: 11037 grad_norm: 11.9657 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1266 loss: 1.1266 2022/08/08 18:59:25 - mmengine - INFO - Epoch(train) [49][460/1320] lr: 2.0000e-05 eta: 0:08:15 time: 0.2254 data_time: 0.0136 memory: 11037 grad_norm: 11.7763 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3524 loss: 1.3524 2022/08/08 18:59:30 - mmengine - INFO - Epoch(train) [49][480/1320] lr: 2.0000e-05 eta: 0:08:11 time: 0.2253 data_time: 0.0153 memory: 11037 grad_norm: 11.9615 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1013 loss: 1.1013 2022/08/08 18:59:34 - mmengine - INFO - Epoch(train) [49][500/1320] lr: 2.0000e-05 eta: 0:08:06 time: 0.2249 data_time: 0.0136 memory: 11037 grad_norm: 11.8604 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1722 loss: 1.1722 2022/08/08 18:59:39 - mmengine - INFO - Epoch(train) [49][520/1320] lr: 2.0000e-05 eta: 0:08:02 time: 0.2430 data_time: 0.0153 memory: 11037 grad_norm: 11.9243 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2086 loss: 1.2086 2022/08/08 18:59:43 - mmengine - INFO - Epoch(train) [49][540/1320] lr: 2.0000e-05 eta: 0:07:57 time: 0.2259 data_time: 0.0150 memory: 11037 grad_norm: 11.7283 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0734 loss: 1.0734 2022/08/08 18:59:48 - mmengine - INFO - Epoch(train) [49][560/1320] lr: 2.0000e-05 eta: 0:07:53 time: 0.2275 data_time: 0.0137 memory: 11037 grad_norm: 12.2183 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.2565 loss: 1.2565 2022/08/08 18:59:53 - mmengine - INFO - Epoch(train) [49][580/1320] lr: 2.0000e-05 eta: 0:07:48 time: 0.2267 data_time: 0.0134 memory: 11037 grad_norm: 11.9315 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0749 loss: 1.0749 2022/08/08 18:59:57 - mmengine - INFO - Epoch(train) [49][600/1320] lr: 2.0000e-05 eta: 0:07:44 time: 0.2303 data_time: 0.0164 memory: 11037 grad_norm: 12.2882 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1555 loss: 1.1555 2022/08/08 19:00:02 - mmengine - INFO - Epoch(train) [49][620/1320] lr: 2.0000e-05 eta: 0:07:39 time: 0.2258 data_time: 0.0137 memory: 11037 grad_norm: 12.4381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2284 loss: 1.2284 2022/08/08 19:00:06 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 19:00:06 - mmengine - INFO - Epoch(train) [49][640/1320] lr: 2.0000e-05 eta: 0:07:34 time: 0.2260 data_time: 0.0131 memory: 11037 grad_norm: 12.0226 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1179 loss: 1.1179 2022/08/08 19:00:11 - mmengine - INFO - Epoch(train) [49][660/1320] lr: 2.0000e-05 eta: 0:07:30 time: 0.2254 data_time: 0.0138 memory: 11037 grad_norm: 12.1926 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0837 loss: 1.0837 2022/08/08 19:00:15 - mmengine - INFO - Epoch(train) [49][680/1320] lr: 2.0000e-05 eta: 0:07:25 time: 0.2351 data_time: 0.0146 memory: 11037 grad_norm: 11.9840 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1249 loss: 1.1249 2022/08/08 19:00:20 - mmengine - INFO - Epoch(train) [49][700/1320] lr: 2.0000e-05 eta: 0:07:21 time: 0.2254 data_time: 0.0136 memory: 11037 grad_norm: 11.9115 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1465 loss: 1.1465 2022/08/08 19:00:24 - mmengine - INFO - Epoch(train) [49][720/1320] lr: 2.0000e-05 eta: 0:07:16 time: 0.2248 data_time: 0.0147 memory: 11037 grad_norm: 11.9267 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1709 loss: 1.1709 2022/08/08 19:00:29 - mmengine - INFO - Epoch(train) [49][740/1320] lr: 2.0000e-05 eta: 0:07:12 time: 0.2255 data_time: 0.0135 memory: 11037 grad_norm: 12.2096 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3031 loss: 1.3031 2022/08/08 19:00:33 - mmengine - INFO - Epoch(train) [49][760/1320] lr: 2.0000e-05 eta: 0:07:07 time: 0.2258 data_time: 0.0138 memory: 11037 grad_norm: 11.9951 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3696 loss: 1.3696 2022/08/08 19:00:38 - mmengine - INFO - Epoch(train) [49][780/1320] lr: 2.0000e-05 eta: 0:07:03 time: 0.2292 data_time: 0.0182 memory: 11037 grad_norm: 12.1113 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0772 loss: 1.0772 2022/08/08 19:00:43 - mmengine - INFO - Epoch(train) [49][800/1320] lr: 2.0000e-05 eta: 0:06:58 time: 0.2256 data_time: 0.0151 memory: 11037 grad_norm: 11.6882 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1788 loss: 1.1788 2022/08/08 19:00:47 - mmengine - INFO - Epoch(train) [49][820/1320] lr: 2.0000e-05 eta: 0:06:54 time: 0.2250 data_time: 0.0133 memory: 11037 grad_norm: 12.1464 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2171 loss: 1.2171 2022/08/08 19:00:52 - mmengine - INFO - Epoch(train) [49][840/1320] lr: 2.0000e-05 eta: 0:06:49 time: 0.2267 data_time: 0.0141 memory: 11037 grad_norm: 11.8843 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1029 loss: 1.1029 2022/08/08 19:00:56 - mmengine - INFO - Epoch(train) [49][860/1320] lr: 2.0000e-05 eta: 0:06:44 time: 0.2321 data_time: 0.0140 memory: 11037 grad_norm: 12.0921 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1712 loss: 1.1712 2022/08/08 19:01:01 - mmengine - INFO - Epoch(train) [49][880/1320] lr: 2.0000e-05 eta: 0:06:40 time: 0.2245 data_time: 0.0136 memory: 11037 grad_norm: 11.9104 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0056 loss: 1.0056 2022/08/08 19:01:05 - mmengine - INFO - Epoch(train) [49][900/1320] lr: 2.0000e-05 eta: 0:06:35 time: 0.2307 data_time: 0.0144 memory: 11037 grad_norm: 11.8794 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2325 loss: 1.2325 2022/08/08 19:01:10 - mmengine - INFO - Epoch(train) [49][920/1320] lr: 2.0000e-05 eta: 0:06:31 time: 0.2252 data_time: 0.0139 memory: 11037 grad_norm: 11.5837 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0523 loss: 1.0523 2022/08/08 19:01:14 - mmengine - INFO - Epoch(train) [49][940/1320] lr: 2.0000e-05 eta: 0:06:26 time: 0.2257 data_time: 0.0143 memory: 11037 grad_norm: 11.7537 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0757 loss: 1.0757 2022/08/08 19:01:19 - mmengine - INFO - Epoch(train) [49][960/1320] lr: 2.0000e-05 eta: 0:06:22 time: 0.2325 data_time: 0.0145 memory: 11037 grad_norm: 12.2684 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1259 loss: 1.1259 2022/08/08 19:01:24 - mmengine - INFO - Epoch(train) [49][980/1320] lr: 2.0000e-05 eta: 0:06:17 time: 0.2251 data_time: 0.0140 memory: 11037 grad_norm: 12.2122 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1968 loss: 1.1968 2022/08/08 19:01:28 - mmengine - INFO - Epoch(train) [49][1000/1320] lr: 2.0000e-05 eta: 0:06:13 time: 0.2251 data_time: 0.0133 memory: 11037 grad_norm: 11.8820 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2148 loss: 1.2148 2022/08/08 19:01:33 - mmengine - INFO - Epoch(train) [49][1020/1320] lr: 2.0000e-05 eta: 0:06:08 time: 0.2257 data_time: 0.0147 memory: 11037 grad_norm: 12.0339 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0369 loss: 1.0369 2022/08/08 19:01:37 - mmengine - INFO - Epoch(train) [49][1040/1320] lr: 2.0000e-05 eta: 0:06:03 time: 0.2400 data_time: 0.0147 memory: 11037 grad_norm: 12.1487 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0987 loss: 1.0987 2022/08/08 19:01:42 - mmengine - INFO - Epoch(train) [49][1060/1320] lr: 2.0000e-05 eta: 0:05:59 time: 0.2250 data_time: 0.0138 memory: 11037 grad_norm: 12.1550 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1676 loss: 1.1676 2022/08/08 19:01:46 - mmengine - INFO - Epoch(train) [49][1080/1320] lr: 2.0000e-05 eta: 0:05:54 time: 0.2265 data_time: 0.0157 memory: 11037 grad_norm: 12.1196 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0627 loss: 1.0627 2022/08/08 19:01:51 - mmengine - INFO - Epoch(train) [49][1100/1320] lr: 2.0000e-05 eta: 0:05:50 time: 0.2254 data_time: 0.0131 memory: 11037 grad_norm: 12.1923 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1600 loss: 1.1600 2022/08/08 19:01:56 - mmengine - INFO - Epoch(train) [49][1120/1320] lr: 2.0000e-05 eta: 0:05:45 time: 0.2271 data_time: 0.0134 memory: 11037 grad_norm: 12.0477 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0796 loss: 1.0796 2022/08/08 19:02:00 - mmengine - INFO - Epoch(train) [49][1140/1320] lr: 2.0000e-05 eta: 0:05:41 time: 0.2261 data_time: 0.0149 memory: 11037 grad_norm: 11.7427 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1561 loss: 1.1561 2022/08/08 19:02:05 - mmengine - INFO - Epoch(train) [49][1160/1320] lr: 2.0000e-05 eta: 0:05:36 time: 0.2239 data_time: 0.0135 memory: 11037 grad_norm: 11.7507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0891 loss: 1.0891 2022/08/08 19:02:09 - mmengine - INFO - Epoch(train) [49][1180/1320] lr: 2.0000e-05 eta: 0:05:32 time: 0.2266 data_time: 0.0133 memory: 11037 grad_norm: 12.2333 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1769 loss: 1.1769 2022/08/08 19:02:14 - mmengine - INFO - Epoch(train) [49][1200/1320] lr: 2.0000e-05 eta: 0:05:27 time: 0.2252 data_time: 0.0142 memory: 11037 grad_norm: 12.0278 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1100 loss: 1.1100 2022/08/08 19:02:18 - mmengine - INFO - Epoch(train) [49][1220/1320] lr: 2.0000e-05 eta: 0:05:23 time: 0.2264 data_time: 0.0138 memory: 11037 grad_norm: 12.0091 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0600 loss: 1.0600 2022/08/08 19:02:23 - mmengine - INFO - Epoch(train) [49][1240/1320] lr: 2.0000e-05 eta: 0:05:18 time: 0.2254 data_time: 0.0131 memory: 11037 grad_norm: 11.6261 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1638 loss: 1.1638 2022/08/08 19:02:27 - mmengine - INFO - Epoch(train) [49][1260/1320] lr: 2.0000e-05 eta: 0:05:13 time: 0.2268 data_time: 0.0152 memory: 11037 grad_norm: 11.9505 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1136 loss: 1.1136 2022/08/08 19:02:32 - mmengine - INFO - Epoch(train) [49][1280/1320] lr: 2.0000e-05 eta: 0:05:09 time: 0.2250 data_time: 0.0137 memory: 11037 grad_norm: 11.9958 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0813 loss: 1.0813 2022/08/08 19:02:36 - mmengine - INFO - Epoch(train) [49][1300/1320] lr: 2.0000e-05 eta: 0:05:04 time: 0.2267 data_time: 0.0141 memory: 11037 grad_norm: 12.0491 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1030 loss: 1.1030 2022/08/08 19:02:41 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 19:02:41 - mmengine - INFO - Epoch(train) [49][1320/1320] lr: 2.0000e-05 eta: 0:05:00 time: 0.2164 data_time: 0.0140 memory: 11037 grad_norm: 11.9784 top1_acc: 0.9091 top5_acc: 0.9091 loss_cls: 1.0853 loss: 1.0853 2022/08/08 19:02:41 - mmengine - INFO - Saving checkpoint at 49 epochs 2022/08/08 19:02:46 - mmengine - INFO - Epoch(val) [49][20/194] eta: 0:00:29 time: 0.1686 data_time: 0.0848 memory: 1858 2022/08/08 19:02:49 - mmengine - INFO - Epoch(val) [49][40/194] eta: 0:00:17 time: 0.1149 data_time: 0.0369 memory: 1858 2022/08/08 19:02:51 - mmengine - INFO - Epoch(val) [49][60/194] eta: 0:00:15 time: 0.1172 data_time: 0.0349 memory: 1858 2022/08/08 19:02:53 - mmengine - INFO - Epoch(val) [49][80/194] eta: 0:00:11 time: 0.1019 data_time: 0.0242 memory: 1858 2022/08/08 19:02:55 - mmengine - INFO - Epoch(val) [49][100/194] eta: 0:00:11 time: 0.1222 data_time: 0.0475 memory: 1858 2022/08/08 19:02:58 - mmengine - INFO - Epoch(val) [49][120/194] eta: 0:00:08 time: 0.1119 data_time: 0.0345 memory: 1858 2022/08/08 19:03:00 - mmengine - INFO - Epoch(val) [49][140/194] eta: 0:00:06 time: 0.1213 data_time: 0.0414 memory: 1858 2022/08/08 19:03:02 - mmengine - INFO - Epoch(val) [49][160/194] eta: 0:00:03 time: 0.1016 data_time: 0.0232 memory: 1858 2022/08/08 19:03:04 - mmengine - INFO - Epoch(val) [49][180/194] eta: 0:00:01 time: 0.0737 data_time: 0.0153 memory: 1858 2022/08/08 19:03:05 - mmengine - INFO - Epoch(val) [49][194/194] acc/top1: 0.4831 acc/top5: 0.7676 acc/mean1: 0.4107 2022/08/08 19:03:05 - mmengine - INFO - Freezing BatchNorm2D except the first one. 2022/08/08 19:03:11 - mmengine - INFO - Epoch(train) [50][20/1320] lr: 2.0000e-05 eta: 0:04:55 time: 0.2854 data_time: 0.0679 memory: 11037 grad_norm: 11.6586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0134 loss: 1.0134 2022/08/08 19:03:16 - mmengine - INFO - Epoch(train) [50][40/1320] lr: 2.0000e-05 eta: 0:04:51 time: 0.2263 data_time: 0.0134 memory: 11037 grad_norm: 11.7371 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0127 loss: 1.0127 2022/08/08 19:03:20 - mmengine - INFO - Epoch(train) [50][60/1320] lr: 2.0000e-05 eta: 0:04:46 time: 0.2283 data_time: 0.0145 memory: 11037 grad_norm: 12.1048 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1883 loss: 1.1883 2022/08/08 19:03:25 - mmengine - INFO - Epoch(train) [50][80/1320] lr: 2.0000e-05 eta: 0:04:42 time: 0.2260 data_time: 0.0137 memory: 11037 grad_norm: 12.0362 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1755 loss: 1.1755 2022/08/08 19:03:29 - mmengine - INFO - Epoch(train) [50][100/1320] lr: 2.0000e-05 eta: 0:04:37 time: 0.2361 data_time: 0.0155 memory: 11037 grad_norm: 11.9322 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9315 loss: 0.9315 2022/08/08 19:03:34 - mmengine - INFO - Epoch(train) [50][120/1320] lr: 2.0000e-05 eta: 0:04:32 time: 0.2262 data_time: 0.0146 memory: 11037 grad_norm: 12.2201 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0395 loss: 1.0395 2022/08/08 19:03:38 - mmengine - INFO - Epoch(train) [50][140/1320] lr: 2.0000e-05 eta: 0:04:28 time: 0.2240 data_time: 0.0123 memory: 11037 grad_norm: 11.9396 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0191 loss: 1.0191 2022/08/08 19:03:43 - mmengine - INFO - Epoch(train) [50][160/1320] lr: 2.0000e-05 eta: 0:04:23 time: 0.2245 data_time: 0.0151 memory: 11037 grad_norm: 12.0820 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1042 loss: 1.1042 2022/08/08 19:03:48 - mmengine - INFO - Epoch(train) [50][180/1320] lr: 2.0000e-05 eta: 0:04:19 time: 0.2396 data_time: 0.0147 memory: 11037 grad_norm: 11.5503 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2551 loss: 1.2551 2022/08/08 19:03:52 - mmengine - INFO - Epoch(train) [50][200/1320] lr: 2.0000e-05 eta: 0:04:14 time: 0.2238 data_time: 0.0123 memory: 11037 grad_norm: 11.9655 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0536 loss: 1.0536 2022/08/08 19:03:57 - mmengine - INFO - Epoch(train) [50][220/1320] lr: 2.0000e-05 eta: 0:04:10 time: 0.2260 data_time: 0.0124 memory: 11037 grad_norm: 11.7783 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0756 loss: 1.0756 2022/08/08 19:04:01 - mmengine - INFO - Epoch(train) [50][240/1320] lr: 2.0000e-05 eta: 0:04:05 time: 0.2266 data_time: 0.0142 memory: 11037 grad_norm: 12.0869 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2883 loss: 1.2883 2022/08/08 19:04:06 - mmengine - INFO - Epoch(train) [50][260/1320] lr: 2.0000e-05 eta: 0:04:01 time: 0.2265 data_time: 0.0129 memory: 11037 grad_norm: 12.0944 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2447 loss: 1.2447 2022/08/08 19:04:10 - mmengine - INFO - Epoch(train) [50][280/1320] lr: 2.0000e-05 eta: 0:03:56 time: 0.2244 data_time: 0.0128 memory: 11037 grad_norm: 11.7769 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2018 loss: 1.2018 2022/08/08 19:04:15 - mmengine - INFO - Epoch(train) [50][300/1320] lr: 2.0000e-05 eta: 0:03:52 time: 0.2262 data_time: 0.0151 memory: 11037 grad_norm: 12.0835 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0619 loss: 1.0619 2022/08/08 19:04:19 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 19:04:19 - mmengine - INFO - Epoch(train) [50][320/1320] lr: 2.0000e-05 eta: 0:03:47 time: 0.2250 data_time: 0.0131 memory: 11037 grad_norm: 12.0690 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0706 loss: 1.0706 2022/08/08 19:04:24 - mmengine - INFO - Epoch(train) [50][340/1320] lr: 2.0000e-05 eta: 0:03:42 time: 0.2259 data_time: 0.0126 memory: 11037 grad_norm: 12.1263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2041 loss: 1.2041 2022/08/08 19:04:28 - mmengine - INFO - Epoch(train) [50][360/1320] lr: 2.0000e-05 eta: 0:03:38 time: 0.2257 data_time: 0.0173 memory: 11037 grad_norm: 12.1870 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0715 loss: 1.0715 2022/08/08 19:04:33 - mmengine - INFO - Epoch(train) [50][380/1320] lr: 2.0000e-05 eta: 0:03:33 time: 0.2250 data_time: 0.0119 memory: 11037 grad_norm: 11.9944 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9345 loss: 0.9345 2022/08/08 19:04:37 - mmengine - INFO - Epoch(train) [50][400/1320] lr: 2.0000e-05 eta: 0:03:29 time: 0.2273 data_time: 0.0143 memory: 11037 grad_norm: 12.1461 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2404 loss: 1.2404 2022/08/08 19:04:42 - mmengine - INFO - Epoch(train) [50][420/1320] lr: 2.0000e-05 eta: 0:03:24 time: 0.2259 data_time: 0.0142 memory: 11037 grad_norm: 12.2141 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0308 loss: 1.0308 2022/08/08 19:04:46 - mmengine - INFO - Epoch(train) [50][440/1320] lr: 2.0000e-05 eta: 0:03:20 time: 0.2255 data_time: 0.0119 memory: 11037 grad_norm: 11.9705 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2360 loss: 1.2360 2022/08/08 19:04:51 - mmengine - INFO - Epoch(train) [50][460/1320] lr: 2.0000e-05 eta: 0:03:15 time: 0.2247 data_time: 0.0137 memory: 11037 grad_norm: 12.0696 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2270 loss: 1.2270 2022/08/08 19:04:55 - mmengine - INFO - Epoch(train) [50][480/1320] lr: 2.0000e-05 eta: 0:03:11 time: 0.2279 data_time: 0.0150 memory: 11037 grad_norm: 11.9467 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0636 loss: 1.0636 2022/08/08 19:05:00 - mmengine - INFO - Epoch(train) [50][500/1320] lr: 2.0000e-05 eta: 0:03:06 time: 0.2279 data_time: 0.0112 memory: 11037 grad_norm: 12.2289 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1828 loss: 1.1828 2022/08/08 19:05:05 - mmengine - INFO - Epoch(train) [50][520/1320] lr: 2.0000e-05 eta: 0:03:01 time: 0.2245 data_time: 0.0116 memory: 11037 grad_norm: 12.0476 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1760 loss: 1.1760 2022/08/08 19:05:09 - mmengine - INFO - Epoch(train) [50][540/1320] lr: 2.0000e-05 eta: 0:02:57 time: 0.2262 data_time: 0.0140 memory: 11037 grad_norm: 11.9861 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1204 loss: 1.1204 2022/08/08 19:05:14 - mmengine - INFO - Epoch(train) [50][560/1320] lr: 2.0000e-05 eta: 0:02:52 time: 0.2234 data_time: 0.0124 memory: 11037 grad_norm: 12.0770 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1591 loss: 1.1591 2022/08/08 19:05:18 - mmengine - INFO - Epoch(train) [50][580/1320] lr: 2.0000e-05 eta: 0:02:48 time: 0.2274 data_time: 0.0132 memory: 11037 grad_norm: 12.2770 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1207 loss: 1.1207 2022/08/08 19:05:23 - mmengine - INFO - Epoch(train) [50][600/1320] lr: 2.0000e-05 eta: 0:02:43 time: 0.2255 data_time: 0.0157 memory: 11037 grad_norm: 11.5557 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0133 loss: 1.0133 2022/08/08 19:05:27 - mmengine - INFO - Epoch(train) [50][620/1320] lr: 2.0000e-05 eta: 0:02:39 time: 0.2243 data_time: 0.0131 memory: 11037 grad_norm: 11.8722 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1670 loss: 1.1670 2022/08/08 19:05:32 - mmengine - INFO - Epoch(train) [50][640/1320] lr: 2.0000e-05 eta: 0:02:34 time: 0.2248 data_time: 0.0136 memory: 11037 grad_norm: 12.2017 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2306 loss: 1.2306 2022/08/08 19:05:36 - mmengine - INFO - Epoch(train) [50][660/1320] lr: 2.0000e-05 eta: 0:02:30 time: 0.2282 data_time: 0.0159 memory: 11037 grad_norm: 11.8850 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9670 loss: 0.9670 2022/08/08 19:05:41 - mmengine - INFO - Epoch(train) [50][680/1320] lr: 2.0000e-05 eta: 0:02:25 time: 0.2246 data_time: 0.0131 memory: 11037 grad_norm: 11.9600 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0028 loss: 1.0028 2022/08/08 19:05:45 - mmengine - INFO - Epoch(train) [50][700/1320] lr: 2.0000e-05 eta: 0:02:21 time: 0.2242 data_time: 0.0126 memory: 11037 grad_norm: 11.5260 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9377 loss: 0.9377 2022/08/08 19:05:50 - mmengine - INFO - Epoch(train) [50][720/1320] lr: 2.0000e-05 eta: 0:02:16 time: 0.2252 data_time: 0.0139 memory: 11037 grad_norm: 11.6342 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1627 loss: 1.1627 2022/08/08 19:05:54 - mmengine - INFO - Epoch(train) [50][740/1320] lr: 2.0000e-05 eta: 0:02:11 time: 0.2250 data_time: 0.0129 memory: 11037 grad_norm: 12.2270 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3276 loss: 1.3276 2022/08/08 19:05:59 - mmengine - INFO - Epoch(train) [50][760/1320] lr: 2.0000e-05 eta: 0:02:07 time: 0.2301 data_time: 0.0146 memory: 11037 grad_norm: 12.1107 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.1452 loss: 1.1452 2022/08/08 19:06:03 - mmengine - INFO - Epoch(train) [50][780/1320] lr: 2.0000e-05 eta: 0:02:02 time: 0.2262 data_time: 0.0142 memory: 11037 grad_norm: 11.7675 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1708 loss: 1.1708 2022/08/08 19:06:08 - mmengine - INFO - Epoch(train) [50][800/1320] lr: 2.0000e-05 eta: 0:01:58 time: 0.2251 data_time: 0.0129 memory: 11037 grad_norm: 12.3313 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2515 loss: 1.2515 2022/08/08 19:06:12 - mmengine - INFO - Epoch(train) [50][820/1320] lr: 2.0000e-05 eta: 0:01:53 time: 0.2288 data_time: 0.0150 memory: 11037 grad_norm: 12.3080 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9982 loss: 0.9982 2022/08/08 19:06:17 - mmengine - INFO - Epoch(train) [50][840/1320] lr: 2.0000e-05 eta: 0:01:49 time: 0.2262 data_time: 0.0136 memory: 11037 grad_norm: 11.8700 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1726 loss: 1.1726 2022/08/08 19:06:21 - mmengine - INFO - Epoch(train) [50][860/1320] lr: 2.0000e-05 eta: 0:01:44 time: 0.2251 data_time: 0.0120 memory: 11037 grad_norm: 12.3188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9406 loss: 0.9406 2022/08/08 19:06:26 - mmengine - INFO - Epoch(train) [50][880/1320] lr: 2.0000e-05 eta: 0:01:40 time: 0.2274 data_time: 0.0138 memory: 11037 grad_norm: 11.8240 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1309 loss: 1.1309 2022/08/08 19:06:31 - mmengine - INFO - Epoch(train) [50][900/1320] lr: 2.0000e-05 eta: 0:01:35 time: 0.2259 data_time: 0.0145 memory: 11037 grad_norm: 11.9953 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0979 loss: 1.0979 2022/08/08 19:06:35 - mmengine - INFO - Epoch(train) [50][920/1320] lr: 2.0000e-05 eta: 0:01:30 time: 0.2249 data_time: 0.0133 memory: 11037 grad_norm: 12.0668 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0422 loss: 1.0422 2022/08/08 19:06:40 - mmengine - INFO - Epoch(train) [50][940/1320] lr: 2.0000e-05 eta: 0:01:26 time: 0.2261 data_time: 0.0147 memory: 11037 grad_norm: 11.8259 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0866 loss: 1.0866 2022/08/08 19:06:44 - mmengine - INFO - Epoch(train) [50][960/1320] lr: 2.0000e-05 eta: 0:01:21 time: 0.2239 data_time: 0.0148 memory: 11037 grad_norm: 11.8380 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1081 loss: 1.1081 2022/08/08 19:06:49 - mmengine - INFO - Epoch(train) [50][980/1320] lr: 2.0000e-05 eta: 0:01:17 time: 0.2301 data_time: 0.0139 memory: 11037 grad_norm: 11.6723 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1457 loss: 1.1457 2022/08/08 19:06:53 - mmengine - INFO - Epoch(train) [50][1000/1320] lr: 2.0000e-05 eta: 0:01:12 time: 0.2239 data_time: 0.0123 memory: 11037 grad_norm: 11.9443 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9342 loss: 0.9342 2022/08/08 19:06:58 - mmengine - INFO - Epoch(train) [50][1020/1320] lr: 2.0000e-05 eta: 0:01:08 time: 0.2263 data_time: 0.0138 memory: 11037 grad_norm: 11.9774 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1691 loss: 1.1691 2022/08/08 19:07:02 - mmengine - INFO - Epoch(train) [50][1040/1320] lr: 2.0000e-05 eta: 0:01:03 time: 0.2243 data_time: 0.0139 memory: 11037 grad_norm: 12.0134 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1979 loss: 1.1979 2022/08/08 19:07:07 - mmengine - INFO - Epoch(train) [50][1060/1320] lr: 2.0000e-05 eta: 0:00:59 time: 0.2290 data_time: 0.0134 memory: 11037 grad_norm: 12.0833 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0369 loss: 1.0369 2022/08/08 19:07:11 - mmengine - INFO - Epoch(train) [50][1080/1320] lr: 2.0000e-05 eta: 0:00:54 time: 0.2248 data_time: 0.0152 memory: 11037 grad_norm: 12.3713 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1667 loss: 1.1667 2022/08/08 19:07:16 - mmengine - INFO - Epoch(train) [50][1100/1320] lr: 2.0000e-05 eta: 0:00:50 time: 0.2253 data_time: 0.0123 memory: 11037 grad_norm: 12.2424 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0243 loss: 1.0243 2022/08/08 19:07:20 - mmengine - INFO - Epoch(train) [50][1120/1320] lr: 2.0000e-05 eta: 0:00:45 time: 0.2249 data_time: 0.0144 memory: 11037 grad_norm: 12.2182 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1582 loss: 1.1582 2022/08/08 19:07:25 - mmengine - INFO - Epoch(train) [50][1140/1320] lr: 2.0000e-05 eta: 0:00:40 time: 0.2255 data_time: 0.0148 memory: 11037 grad_norm: 12.1887 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.1438 loss: 1.1438 2022/08/08 19:07:29 - mmengine - INFO - Epoch(train) [50][1160/1320] lr: 2.0000e-05 eta: 0:00:36 time: 0.2348 data_time: 0.0138 memory: 11037 grad_norm: 11.7954 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1418 loss: 1.1418 2022/08/08 19:07:34 - mmengine - INFO - Epoch(train) [50][1180/1320] lr: 2.0000e-05 eta: 0:00:31 time: 0.2255 data_time: 0.0139 memory: 11037 grad_norm: 12.0861 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1369 loss: 1.1369 2022/08/08 19:07:38 - mmengine - INFO - Epoch(train) [50][1200/1320] lr: 2.0000e-05 eta: 0:00:27 time: 0.2265 data_time: 0.0147 memory: 11037 grad_norm: 12.4158 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1075 loss: 1.1075 2022/08/08 19:07:43 - mmengine - INFO - Epoch(train) [50][1220/1320] lr: 2.0000e-05 eta: 0:00:22 time: 0.2298 data_time: 0.0133 memory: 11037 grad_norm: 12.4676 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0915 loss: 1.0915 2022/08/08 19:07:48 - mmengine - INFO - Epoch(train) [50][1240/1320] lr: 2.0000e-05 eta: 0:00:18 time: 0.2258 data_time: 0.0128 memory: 11037 grad_norm: 11.9925 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9973 loss: 0.9973 2022/08/08 19:07:52 - mmengine - INFO - Epoch(train) [50][1260/1320] lr: 2.0000e-05 eta: 0:00:13 time: 0.2270 data_time: 0.0158 memory: 11037 grad_norm: 11.8776 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2132 loss: 1.2132 2022/08/08 19:07:57 - mmengine - INFO - Epoch(train) [50][1280/1320] lr: 2.0000e-05 eta: 0:00:09 time: 0.2400 data_time: 0.0155 memory: 11037 grad_norm: 11.8994 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0899 loss: 1.0899 2022/08/08 19:08:02 - mmengine - INFO - Epoch(train) [50][1300/1320] lr: 2.0000e-05 eta: 0:00:04 time: 0.2261 data_time: 0.0128 memory: 11037 grad_norm: 12.4071 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1431 loss: 1.1431 2022/08/08 19:08:06 - mmengine - INFO - Exp name: trn_r50_1x1x8_50e_8xb16_sthv2_rgb_20220808_143256 2022/08/08 19:08:06 - mmengine - INFO - Epoch(train) [50][1320/1320] lr: 2.0000e-05 eta: 0:00:00 time: 0.2175 data_time: 0.0154 memory: 11037 grad_norm: 12.0070 top1_acc: 0.8182 top5_acc: 0.9091 loss_cls: 1.0838 loss: 1.0838 2022/08/08 19:08:06 - mmengine - INFO - Saving checkpoint at 50 epochs 2022/08/08 19:08:12 - mmengine - INFO - Epoch(val) [50][20/194] eta: 0:00:29 time: 0.1704 data_time: 0.0921 memory: 1858 2022/08/08 19:08:14 - mmengine - INFO - Epoch(val) [50][40/194] eta: 0:00:17 time: 0.1115 data_time: 0.0329 memory: 1858 2022/08/08 19:08:16 - mmengine - INFO - Epoch(val) [50][60/194] eta: 0:00:15 time: 0.1145 data_time: 0.0363 memory: 1858 2022/08/08 19:08:18 - mmengine - INFO - Epoch(val) [50][80/194] eta: 0:00:12 time: 0.1090 data_time: 0.0261 memory: 1858 2022/08/08 19:08:21 - mmengine - INFO - Epoch(val) [50][100/194] eta: 0:00:10 time: 0.1146 data_time: 0.0332 memory: 1858 2022/08/08 19:08:23 - mmengine - INFO - Epoch(val) [50][120/194] eta: 0:00:08 time: 0.1137 data_time: 0.0337 memory: 1858 2022/08/08 19:08:26 - mmengine - INFO - Epoch(val) [50][140/194] eta: 0:00:06 time: 0.1268 data_time: 0.0455 memory: 1858 2022/08/08 19:08:28 - mmengine - INFO - Epoch(val) [50][160/194] eta: 0:00:03 time: 0.1045 data_time: 0.0266 memory: 1858 2022/08/08 19:08:29 - mmengine - INFO - Epoch(val) [50][180/194] eta: 0:00:01 time: 0.0819 data_time: 0.0219 memory: 1858 2022/08/08 19:08:31 - mmengine - INFO - Epoch(val) [50][194/194] acc/top1: 0.4840 acc/top5: 0.7674 acc/mean1: 0.4137