2022/08/08 15:30:20 - mmengine - INFO - These parameters in pretrained checkpoint are not loaded: {'fc.weight', 'fc.bias'} 2022/08/08 15:30:21 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb by HardDiskBackend. 2022/08/08 15:42:54 - mmengine - INFO - Epoch(train) [1][20/1879] lr: 2.0000e-03 eta: 40 days, 22:18:03 time: 37.6481 data_time: 36.5166 memory: 27044 grad_norm: 2.2533 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.9180 loss: 5.9180 2022/08/08 15:43:15 - mmengine - INFO - Epoch(train) [1][40/1879] lr: 2.0000e-03 eta: 21 days, 0:34:05 time: 1.0367 data_time: 0.0345 memory: 27044 grad_norm: 2.3474 top1_acc: 0.0625 top5_acc: 0.0625 loss_cls: 5.8456 loss: 5.8456 2022/08/08 15:43:36 - mmengine - INFO - Epoch(train) [1][60/1879] lr: 2.0000e-03 eta: 14 days, 9:11:02 time: 1.0211 data_time: 0.0215 memory: 27044 grad_norm: 2.3996 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6494 loss: 5.6494 2022/08/08 15:43:56 - mmengine - INFO - Epoch(train) [1][80/1879] lr: 2.0000e-03 eta: 11 days, 1:31:18 time: 1.0261 data_time: 0.0210 memory: 27044 grad_norm: 2.4951 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.4085 loss: 5.4085 2022/08/08 15:44:17 - mmengine - INFO - Epoch(train) [1][100/1879] lr: 2.0000e-03 eta: 9 days, 1:42:50 time: 1.0245 data_time: 0.0211 memory: 27044 grad_norm: 2.6179 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 5.1037 loss: 5.1037 2022/08/08 15:44:37 - mmengine - INFO - Epoch(train) [1][120/1879] lr: 2.0000e-03 eta: 7 days, 17:51:29 time: 1.0287 data_time: 0.0218 memory: 27044 grad_norm: 2.7285 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.0087 loss: 5.0087 2022/08/08 15:44:58 - mmengine - INFO - Epoch(train) [1][140/1879] lr: 2.0000e-03 eta: 6 days, 19:06:23 time: 1.0298 data_time: 0.0213 memory: 27044 grad_norm: 2.8164 top1_acc: 0.0625 top5_acc: 0.4375 loss_cls: 4.8261 loss: 4.8261 2022/08/08 15:45:19 - mmengine - INFO - Epoch(train) [1][160/1879] lr: 2.0000e-03 eta: 6 days, 2:09:24 time: 1.0652 data_time: 0.0337 memory: 27044 grad_norm: 2.8900 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.6854 loss: 4.6854 2022/08/08 15:45:40 - mmengine - INFO - Epoch(train) [1][180/1879] lr: 2.0000e-03 eta: 5 days, 12:52:52 time: 1.0337 data_time: 0.0207 memory: 27044 grad_norm: 2.9981 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 4.5587 loss: 4.5587 2022/08/08 15:46:00 - mmengine - INFO - Epoch(train) [1][200/1879] lr: 2.0000e-03 eta: 5 days, 2:15:16 time: 1.0318 data_time: 0.0213 memory: 27044 grad_norm: 3.0578 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 4.3537 loss: 4.3537 2022/08/08 15:46:21 - mmengine - INFO - Epoch(train) [1][220/1879] lr: 2.0000e-03 eta: 4 days, 17:32:37 time: 1.0254 data_time: 0.0209 memory: 27044 grad_norm: 3.1215 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 4.1396 loss: 4.1396 2022/08/08 15:46:42 - mmengine - INFO - Epoch(train) [1][240/1879] lr: 2.0000e-03 eta: 4 days, 10:17:52 time: 1.0320 data_time: 0.0249 memory: 27044 grad_norm: 3.2461 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 3.9489 loss: 3.9489 2022/08/08 15:47:02 - mmengine - INFO - Epoch(train) [1][260/1879] lr: 2.0000e-03 eta: 4 days, 4:08:49 time: 1.0224 data_time: 0.0209 memory: 27044 grad_norm: 3.2723 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 4.0196 loss: 4.0196 2022/08/08 15:47:23 - mmengine - INFO - Epoch(train) [1][280/1879] lr: 2.0000e-03 eta: 3 days, 22:55:31 time: 1.0501 data_time: 0.0209 memory: 27044 grad_norm: 3.3489 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.0005 loss: 4.0005 2022/08/08 15:47:44 - mmengine - INFO - Epoch(train) [1][300/1879] lr: 2.0000e-03 eta: 3 days, 18:21:38 time: 1.0278 data_time: 0.0202 memory: 27044 grad_norm: 3.4261 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8626 loss: 3.8626 2022/08/08 15:48:04 - mmengine - INFO - Epoch(train) [1][320/1879] lr: 2.0000e-03 eta: 3 days, 14:21:41 time: 1.0251 data_time: 0.0209 memory: 27044 grad_norm: 3.4804 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.7206 loss: 3.7206 2022/08/08 15:48:25 - mmengine - INFO - Epoch(train) [1][340/1879] lr: 2.0000e-03 eta: 3 days, 10:50:21 time: 1.0300 data_time: 0.0210 memory: 27044 grad_norm: 3.5930 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.9685 loss: 3.9685 2022/08/08 15:48:45 - mmengine - INFO - Epoch(train) [1][360/1879] lr: 2.0000e-03 eta: 3 days, 7:42:08 time: 1.0260 data_time: 0.0214 memory: 27044 grad_norm: 3.5873 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 3.5960 loss: 3.5960 2022/08/08 15:49:06 - mmengine - INFO - Epoch(train) [1][380/1879] lr: 2.0000e-03 eta: 3 days, 4:54:02 time: 1.0302 data_time: 0.0212 memory: 27044 grad_norm: 3.6027 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 3.5076 loss: 3.5076 2022/08/08 15:49:26 - mmengine - INFO - Epoch(train) [1][400/1879] lr: 2.0000e-03 eta: 3 days, 2:22:18 time: 1.0250 data_time: 0.0212 memory: 27044 grad_norm: 3.7117 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 3.5104 loss: 3.5104 2022/08/08 15:49:47 - mmengine - INFO - Epoch(train) [1][420/1879] lr: 2.0000e-03 eta: 3 days, 0:05:01 time: 1.0254 data_time: 0.0209 memory: 27044 grad_norm: 3.7245 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 3.5069 loss: 3.5069 2022/08/08 15:50:07 - mmengine - INFO - Epoch(train) [1][440/1879] lr: 2.0000e-03 eta: 2 days, 22:00:05 time: 1.0239 data_time: 0.0222 memory: 27044 grad_norm: 3.7558 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.6239 loss: 3.6239 2022/08/08 15:51:21 - mmengine - INFO - Epoch(train) [1][460/1879] lr: 2.0000e-03 eta: 2 days, 23:07:18 time: 3.7005 data_time: 2.6696 memory: 27044 grad_norm: 3.7658 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3861 loss: 3.3861 2022/08/08 15:51:42 - mmengine - INFO - Epoch(train) [1][480/1879] lr: 2.0000e-03 eta: 2 days, 21:15:53 time: 1.0362 data_time: 0.0314 memory: 27044 grad_norm: 3.8866 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.3827 loss: 3.3827 2022/08/08 15:52:02 - mmengine - INFO - Epoch(train) [1][500/1879] lr: 2.0000e-03 eta: 2 days, 19:32:29 time: 1.0222 data_time: 0.0210 memory: 27044 grad_norm: 3.9030 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.4228 loss: 3.4228 2022/08/08 15:52:23 - mmengine - INFO - Epoch(train) [1][520/1879] lr: 2.0000e-03 eta: 2 days, 17:57:02 time: 1.0228 data_time: 0.0207 memory: 27044 grad_norm: 3.9350 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4047 loss: 3.4047 2022/08/08 15:52:43 - mmengine - INFO - Epoch(train) [1][540/1879] lr: 2.0000e-03 eta: 2 days, 16:29:00 time: 1.0291 data_time: 0.0261 memory: 27044 grad_norm: 4.0340 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.3562 loss: 3.3562 2022/08/08 15:53:04 - mmengine - INFO - Epoch(train) [1][560/1879] lr: 2.0000e-03 eta: 2 days, 15:07:08 time: 1.0275 data_time: 0.0221 memory: 27044 grad_norm: 4.0133 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.1513 loss: 3.1513 2022/08/08 15:53:25 - mmengine - INFO - Epoch(train) [1][580/1879] lr: 2.0000e-03 eta: 2 days, 13:50:48 time: 1.0256 data_time: 0.0201 memory: 27044 grad_norm: 4.0760 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.2009 loss: 3.2009 2022/08/08 15:53:45 - mmengine - INFO - Epoch(train) [1][600/1879] lr: 2.0000e-03 eta: 2 days, 12:39:30 time: 1.0250 data_time: 0.0211 memory: 27044 grad_norm: 4.0334 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 3.2502 loss: 3.2502 2022/08/08 15:54:06 - mmengine - INFO - Epoch(train) [1][620/1879] lr: 2.0000e-03 eta: 2 days, 11:32:45 time: 1.0245 data_time: 0.0210 memory: 27044 grad_norm: 4.1417 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3668 loss: 3.3668 2022/08/08 15:54:26 - mmengine - INFO - Epoch(train) [1][640/1879] lr: 2.0000e-03 eta: 2 days, 10:30:09 time: 1.0245 data_time: 0.0221 memory: 27044 grad_norm: 4.1993 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.2842 loss: 3.2842 2022/08/08 15:54:47 - mmengine - INFO - Epoch(train) [1][660/1879] lr: 2.0000e-03 eta: 2 days, 9:31:25 time: 1.0265 data_time: 0.0214 memory: 27044 grad_norm: 4.0670 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4254 loss: 3.4254 2022/08/08 15:55:07 - mmengine - INFO - Epoch(train) [1][680/1879] lr: 2.0000e-03 eta: 2 days, 8:36:16 time: 1.0298 data_time: 0.0216 memory: 27044 grad_norm: 4.2333 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.1392 loss: 3.1392 2022/08/08 15:55:29 - mmengine - INFO - Epoch(train) [1][700/1879] lr: 2.0000e-03 eta: 2 days, 7:46:18 time: 1.0759 data_time: 0.0719 memory: 27044 grad_norm: 4.2913 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.3515 loss: 3.3515 2022/08/08 15:55:49 - mmengine - INFO - Epoch(train) [1][720/1879] lr: 2.0000e-03 eta: 2 days, 6:57:04 time: 1.0290 data_time: 0.0210 memory: 27044 grad_norm: 4.2366 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 3.2145 loss: 3.2145 2022/08/08 15:56:10 - mmengine - INFO - Epoch(train) [1][740/1879] lr: 2.0000e-03 eta: 2 days, 6:10:22 time: 1.0265 data_time: 0.0210 memory: 27044 grad_norm: 4.3467 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.2373 loss: 3.2373 2022/08/08 15:56:30 - mmengine - INFO - Epoch(train) [1][760/1879] lr: 2.0000e-03 eta: 2 days, 5:26:22 time: 1.0328 data_time: 0.0207 memory: 27044 grad_norm: 4.3526 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.9697 loss: 2.9697 2022/08/08 15:56:51 - mmengine - INFO - Epoch(train) [1][780/1879] lr: 2.0000e-03 eta: 2 days, 4:44:17 time: 1.0247 data_time: 0.0216 memory: 27044 grad_norm: 4.3487 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 3.1284 loss: 3.1284 2022/08/08 15:57:12 - mmengine - INFO - Epoch(train) [1][800/1879] lr: 2.0000e-03 eta: 2 days, 4:04:38 time: 1.0340 data_time: 0.0254 memory: 27044 grad_norm: 4.3643 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 3.0418 loss: 3.0418 2022/08/08 15:57:33 - mmengine - INFO - Epoch(train) [1][820/1879] lr: 2.0000e-03 eta: 2 days, 3:28:16 time: 1.0698 data_time: 0.0647 memory: 27044 grad_norm: 4.3641 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.0642 loss: 3.0642 2022/08/08 15:57:54 - mmengine - INFO - Epoch(train) [1][840/1879] lr: 2.0000e-03 eta: 2 days, 2:52:06 time: 1.0287 data_time: 0.0211 memory: 27044 grad_norm: 4.3651 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 3.0109 loss: 3.0109 2022/08/08 15:58:14 - mmengine - INFO - Epoch(train) [1][860/1879] lr: 2.0000e-03 eta: 2 days, 2:17:30 time: 1.0261 data_time: 0.0216 memory: 27044 grad_norm: 4.5172 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.9623 loss: 2.9623 2022/08/08 15:58:35 - mmengine - INFO - Epoch(train) [1][880/1879] lr: 2.0000e-03 eta: 2 days, 1:44:36 time: 1.0297 data_time: 0.0209 memory: 27044 grad_norm: 4.4303 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.8796 loss: 2.8796 2022/08/08 15:58:55 - mmengine - INFO - Epoch(train) [1][900/1879] lr: 2.0000e-03 eta: 2 days, 1:12:57 time: 1.0244 data_time: 0.0214 memory: 27044 grad_norm: 4.5204 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.8811 loss: 2.8811 2022/08/08 15:59:16 - mmengine - INFO - Epoch(train) [1][920/1879] lr: 2.0000e-03 eta: 2 days, 0:42:53 time: 1.0309 data_time: 0.0217 memory: 27044 grad_norm: 4.5030 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.8454 loss: 2.8454 2022/08/08 15:59:36 - mmengine - INFO - Epoch(train) [1][940/1879] lr: 2.0000e-03 eta: 2 days, 0:13:54 time: 1.0256 data_time: 0.0209 memory: 27044 grad_norm: 4.5945 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.9266 loss: 2.9266 2022/08/08 15:59:57 - mmengine - INFO - Epoch(train) [1][960/1879] lr: 2.0000e-03 eta: 1 day, 23:46:11 time: 1.0277 data_time: 0.0209 memory: 27044 grad_norm: 4.6293 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8511 loss: 2.8511 2022/08/08 16:00:17 - mmengine - INFO - Epoch(train) [1][980/1879] lr: 2.0000e-03 eta: 1 day, 23:19:41 time: 1.0309 data_time: 0.0225 memory: 27044 grad_norm: 4.6031 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9250 loss: 2.9250 2022/08/08 16:00:38 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 16:00:38 - mmengine - INFO - Epoch(train) [1][1000/1879] lr: 2.0000e-03 eta: 1 day, 22:54:10 time: 1.0285 data_time: 0.0214 memory: 27044 grad_norm: 4.6045 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5934 loss: 2.5934 2022/08/08 16:00:59 - mmengine - INFO - Epoch(train) [1][1020/1879] lr: 2.0000e-03 eta: 1 day, 22:29:35 time: 1.0272 data_time: 0.0217 memory: 27044 grad_norm: 4.6859 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.7485 loss: 2.7485 2022/08/08 16:01:19 - mmengine - INFO - Epoch(train) [1][1040/1879] lr: 2.0000e-03 eta: 1 day, 22:05:56 time: 1.0270 data_time: 0.0214 memory: 27044 grad_norm: 4.7301 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.8019 loss: 2.8019 2022/08/08 16:01:40 - mmengine - INFO - Epoch(train) [1][1060/1879] lr: 2.0000e-03 eta: 1 day, 21:43:09 time: 1.0269 data_time: 0.0212 memory: 27044 grad_norm: 4.7026 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.8594 loss: 2.8594 2022/08/08 16:02:00 - mmengine - INFO - Epoch(train) [1][1080/1879] lr: 2.0000e-03 eta: 1 day, 21:21:17 time: 1.0296 data_time: 0.0245 memory: 27044 grad_norm: 4.8086 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.7973 loss: 2.7973 2022/08/08 16:02:21 - mmengine - INFO - Epoch(train) [1][1100/1879] lr: 2.0000e-03 eta: 1 day, 21:00:04 time: 1.0250 data_time: 0.0222 memory: 27044 grad_norm: 4.7758 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.7301 loss: 2.7301 2022/08/08 16:02:41 - mmengine - INFO - Epoch(train) [1][1120/1879] lr: 2.0000e-03 eta: 1 day, 20:39:43 time: 1.0292 data_time: 0.0215 memory: 27044 grad_norm: 4.7743 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.8613 loss: 2.8613 2022/08/08 16:03:02 - mmengine - INFO - Epoch(train) [1][1140/1879] lr: 2.0000e-03 eta: 1 day, 20:19:58 time: 1.0253 data_time: 0.0216 memory: 27044 grad_norm: 4.8325 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7427 loss: 2.7427 2022/08/08 16:03:22 - mmengine - INFO - Epoch(train) [1][1160/1879] lr: 2.0000e-03 eta: 1 day, 20:00:56 time: 1.0270 data_time: 0.0214 memory: 27044 grad_norm: 4.7884 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7258 loss: 2.7258 2022/08/08 16:03:43 - mmengine - INFO - Epoch(train) [1][1180/1879] lr: 2.0000e-03 eta: 1 day, 19:42:37 time: 1.0305 data_time: 0.0218 memory: 27044 grad_norm: 4.8176 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8285 loss: 2.8285 2022/08/08 16:04:04 - mmengine - INFO - Epoch(train) [1][1200/1879] lr: 2.0000e-03 eta: 1 day, 19:24:45 time: 1.0252 data_time: 0.0216 memory: 27044 grad_norm: 4.8094 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7123 loss: 2.7123 2022/08/08 16:04:24 - mmengine - INFO - Epoch(train) [1][1220/1879] lr: 2.0000e-03 eta: 1 day, 19:07:37 time: 1.0305 data_time: 0.0208 memory: 27044 grad_norm: 4.9571 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.8306 loss: 2.8306 2022/08/08 16:04:45 - mmengine - INFO - Epoch(train) [1][1240/1879] lr: 2.0000e-03 eta: 1 day, 18:50:51 time: 1.0243 data_time: 0.0217 memory: 27044 grad_norm: 4.8184 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6808 loss: 2.6808 2022/08/08 16:05:05 - mmengine - INFO - Epoch(train) [1][1260/1879] lr: 2.0000e-03 eta: 1 day, 18:34:46 time: 1.0300 data_time: 0.0211 memory: 27044 grad_norm: 4.8818 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7309 loss: 2.7309 2022/08/08 16:05:26 - mmengine - INFO - Epoch(train) [1][1280/1879] lr: 2.0000e-03 eta: 1 day, 18:19:58 time: 1.0639 data_time: 0.0565 memory: 27044 grad_norm: 4.8910 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.6688 loss: 2.6688 2022/08/08 16:05:47 - mmengine - INFO - Epoch(train) [1][1300/1879] lr: 2.0000e-03 eta: 1 day, 18:04:45 time: 1.0267 data_time: 0.0212 memory: 27044 grad_norm: 4.8607 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 2.6196 loss: 2.6196 2022/08/08 16:06:08 - mmengine - INFO - Epoch(train) [1][1320/1879] lr: 2.0000e-03 eta: 1 day, 17:50:05 time: 1.0316 data_time: 0.0218 memory: 27044 grad_norm: 4.9265 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.8361 loss: 2.8361 2022/08/08 16:06:28 - mmengine - INFO - Epoch(train) [1][1340/1879] lr: 2.0000e-03 eta: 1 day, 17:35:55 time: 1.0343 data_time: 0.0216 memory: 27044 grad_norm: 4.9466 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.6394 loss: 2.6394 2022/08/08 16:06:49 - mmengine - INFO - Epoch(train) [1][1360/1879] lr: 2.0000e-03 eta: 1 day, 17:21:57 time: 1.0250 data_time: 0.0216 memory: 27044 grad_norm: 4.9666 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.7174 loss: 2.7174 2022/08/08 16:07:09 - mmengine - INFO - Epoch(train) [1][1380/1879] lr: 2.0000e-03 eta: 1 day, 17:08:25 time: 1.0276 data_time: 0.0205 memory: 27044 grad_norm: 4.9989 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6779 loss: 2.6779 2022/08/08 16:07:31 - mmengine - INFO - Epoch(train) [1][1400/1879] lr: 2.0000e-03 eta: 1 day, 16:56:33 time: 1.0852 data_time: 0.0211 memory: 27044 grad_norm: 4.9744 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.5707 loss: 2.5707 2022/08/08 16:07:52 - mmengine - INFO - Epoch(train) [1][1420/1879] lr: 2.0000e-03 eta: 1 day, 16:43:53 time: 1.0342 data_time: 0.0212 memory: 27044 grad_norm: 5.0148 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6130 loss: 2.6130 2022/08/08 16:08:12 - mmengine - INFO - Epoch(train) [1][1440/1879] lr: 2.0000e-03 eta: 1 day, 16:31:24 time: 1.0265 data_time: 0.0201 memory: 27044 grad_norm: 5.1272 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.6535 loss: 2.6535 2022/08/08 16:08:33 - mmengine - INFO - Epoch(train) [1][1460/1879] lr: 2.0000e-03 eta: 1 day, 16:19:15 time: 1.0261 data_time: 0.0217 memory: 27044 grad_norm: 5.0232 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7540 loss: 2.7540 2022/08/08 16:08:53 - mmengine - INFO - Epoch(train) [1][1480/1879] lr: 2.0000e-03 eta: 1 day, 16:07:22 time: 1.0238 data_time: 0.0213 memory: 27044 grad_norm: 5.0458 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.6949 loss: 2.6949 2022/08/08 16:09:14 - mmengine - INFO - Epoch(train) [1][1500/1879] lr: 2.0000e-03 eta: 1 day, 15:55:54 time: 1.0299 data_time: 0.0220 memory: 27044 grad_norm: 5.1016 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6794 loss: 2.6794 2022/08/08 16:09:35 - mmengine - INFO - Epoch(train) [1][1520/1879] lr: 2.0000e-03 eta: 1 day, 15:44:46 time: 1.0311 data_time: 0.0252 memory: 27044 grad_norm: 5.0194 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4468 loss: 2.4468 2022/08/08 16:09:55 - mmengine - INFO - Epoch(train) [1][1540/1879] lr: 2.0000e-03 eta: 1 day, 15:33:47 time: 1.0245 data_time: 0.0213 memory: 27044 grad_norm: 5.1186 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.6600 loss: 2.6600 2022/08/08 16:10:16 - mmengine - INFO - Epoch(train) [1][1560/1879] lr: 2.0000e-03 eta: 1 day, 15:23:13 time: 1.0316 data_time: 0.0229 memory: 27044 grad_norm: 5.1069 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.6346 loss: 2.6346 2022/08/08 16:10:36 - mmengine - INFO - Epoch(train) [1][1580/1879] lr: 2.0000e-03 eta: 1 day, 15:12:51 time: 1.0296 data_time: 0.0215 memory: 27044 grad_norm: 5.1586 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3911 loss: 2.3911 2022/08/08 16:10:57 - mmengine - INFO - Epoch(train) [1][1600/1879] lr: 2.0000e-03 eta: 1 day, 15:02:48 time: 1.0319 data_time: 0.0212 memory: 27044 grad_norm: 5.1135 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5407 loss: 2.5407 2022/08/08 16:11:17 - mmengine - INFO - Epoch(train) [1][1620/1879] lr: 2.0000e-03 eta: 1 day, 14:52:52 time: 1.0260 data_time: 0.0198 memory: 27044 grad_norm: 5.1519 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6182 loss: 2.6182 2022/08/08 16:11:38 - mmengine - INFO - Epoch(train) [1][1640/1879] lr: 2.0000e-03 eta: 1 day, 14:43:15 time: 1.0310 data_time: 0.0188 memory: 27044 grad_norm: 5.2719 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.3732 loss: 2.3732 2022/08/08 16:11:59 - mmengine - INFO - Epoch(train) [1][1660/1879] lr: 2.0000e-03 eta: 1 day, 14:33:47 time: 1.0259 data_time: 0.0203 memory: 27044 grad_norm: 5.1905 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4989 loss: 2.4989 2022/08/08 16:12:19 - mmengine - INFO - Epoch(train) [1][1680/1879] lr: 2.0000e-03 eta: 1 day, 14:24:33 time: 1.0276 data_time: 0.0199 memory: 27044 grad_norm: 5.0917 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7099 loss: 2.7099 2022/08/08 16:12:40 - mmengine - INFO - Epoch(train) [1][1700/1879] lr: 2.0000e-03 eta: 1 day, 14:15:33 time: 1.0284 data_time: 0.0204 memory: 27044 grad_norm: 5.2465 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.8170 loss: 2.8170 2022/08/08 16:13:00 - mmengine - INFO - Epoch(train) [1][1720/1879] lr: 2.0000e-03 eta: 1 day, 14:06:46 time: 1.0300 data_time: 0.0192 memory: 27044 grad_norm: 5.1961 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2931 loss: 2.2931 2022/08/08 16:13:21 - mmengine - INFO - Epoch(train) [1][1740/1879] lr: 2.0000e-03 eta: 1 day, 13:58:12 time: 1.0300 data_time: 0.0211 memory: 27044 grad_norm: 5.2991 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5042 loss: 2.5042 2022/08/08 16:13:41 - mmengine - INFO - Epoch(train) [1][1760/1879] lr: 2.0000e-03 eta: 1 day, 13:49:43 time: 1.0254 data_time: 0.0212 memory: 27044 grad_norm: 5.2114 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3879 loss: 2.3879 2022/08/08 16:14:02 - mmengine - INFO - Epoch(train) [1][1780/1879] lr: 2.0000e-03 eta: 1 day, 13:41:35 time: 1.0344 data_time: 0.0249 memory: 27044 grad_norm: 5.3029 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5418 loss: 2.5418 2022/08/08 16:14:23 - mmengine - INFO - Epoch(train) [1][1800/1879] lr: 2.0000e-03 eta: 1 day, 13:33:28 time: 1.0251 data_time: 0.0217 memory: 27044 grad_norm: 5.3338 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6528 loss: 2.6528 2022/08/08 16:14:43 - mmengine - INFO - Epoch(train) [1][1820/1879] lr: 2.0000e-03 eta: 1 day, 13:25:35 time: 1.0290 data_time: 0.0212 memory: 27044 grad_norm: 5.3056 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.6150 loss: 2.6150 2022/08/08 16:15:04 - mmengine - INFO - Epoch(train) [1][1840/1879] lr: 2.0000e-03 eta: 1 day, 13:17:48 time: 1.0254 data_time: 0.0221 memory: 27044 grad_norm: 5.3131 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.5532 loss: 2.5532 2022/08/08 16:15:26 - mmengine - INFO - Epoch(train) [1][1860/1879] lr: 2.0000e-03 eta: 1 day, 13:11:17 time: 1.0926 data_time: 0.0815 memory: 27044 grad_norm: 5.3782 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.6384 loss: 2.6384 2022/08/08 16:15:45 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 16:15:45 - mmengine - INFO - Epoch(train) [1][1879/1879] lr: 2.0000e-03 eta: 1 day, 13:11:17 time: 1.0078 data_time: 0.0189 memory: 27044 grad_norm: 5.3567 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.3602 loss: 2.3602 2022/08/08 16:28:00 - mmengine - INFO - Epoch(val) [1][20/155] eta: 1:22:40 time: 36.7426 data_time: 36.4740 memory: 3270 2022/08/08 16:28:10 - mmengine - INFO - Epoch(val) [1][40/155] eta: 0:00:57 time: 0.4993 data_time: 0.2320 memory: 3270 2022/08/08 16:28:23 - mmengine - INFO - Epoch(val) [1][60/155] eta: 0:01:02 time: 0.6543 data_time: 0.3863 memory: 3270 2022/08/08 16:28:34 - mmengine - INFO - Epoch(val) [1][80/155] eta: 0:00:42 time: 0.5681 data_time: 0.3005 memory: 3270 2022/08/08 16:28:48 - mmengine - INFO - Epoch(val) [1][100/155] eta: 0:00:37 time: 0.6792 data_time: 0.4115 memory: 3270 2022/08/08 16:28:58 - mmengine - INFO - Epoch(val) [1][120/155] eta: 0:00:18 time: 0.5190 data_time: 0.2507 memory: 3270 2022/08/08 16:29:12 - mmengine - INFO - Epoch(val) [1][140/155] eta: 0:00:10 time: 0.7101 data_time: 0.4417 memory: 3270 2022/08/08 16:29:22 - mmengine - INFO - Epoch(val) [1][155/155] acc/top1: 0.4483 acc/top5: 0.7287 acc/mean1: 0.4480 2022/08/08 16:29:23 - mmengine - INFO - The best checkpoint with 0.4483 acc/top1 at 2 epoch is saved to best_acc/top1_epoch_2.pth. 2022/08/08 16:29:49 - mmengine - INFO - Epoch(train) [2][20/1879] lr: 6.5000e-03 eta: 1 day, 12:45:13 time: 1.2803 data_time: 0.2451 memory: 27044 grad_norm: 5.5413 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3756 loss: 2.3756 2022/08/08 16:30:09 - mmengine - INFO - Epoch(train) [2][40/1879] lr: 6.5000e-03 eta: 1 day, 12:38:07 time: 1.0230 data_time: 0.0200 memory: 27035 grad_norm: 5.7409 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5963 loss: 2.5963 2022/08/08 16:30:30 - mmengine - INFO - Epoch(train) [2][60/1879] lr: 6.5000e-03 eta: 1 day, 12:31:17 time: 1.0308 data_time: 0.0212 memory: 27035 grad_norm: 5.5833 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.7249 loss: 2.7249 2022/08/08 16:30:50 - mmengine - INFO - Epoch(train) [2][80/1879] lr: 6.5000e-03 eta: 1 day, 12:24:29 time: 1.0253 data_time: 0.0201 memory: 27035 grad_norm: 5.6344 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.9075 loss: 2.9075 2022/08/08 16:31:11 - mmengine - INFO - Epoch(train) [2][100/1879] lr: 6.5000e-03 eta: 1 day, 12:17:50 time: 1.0261 data_time: 0.0197 memory: 27035 grad_norm: 5.7365 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.8299 loss: 2.8299 2022/08/08 16:31:31 - mmengine - INFO - Epoch(train) [2][120/1879] lr: 6.5000e-03 eta: 1 day, 12:11:20 time: 1.0277 data_time: 0.0205 memory: 27035 grad_norm: 5.5825 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.5898 loss: 2.5898 2022/08/08 16:31:32 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 16:31:52 - mmengine - INFO - Epoch(train) [2][140/1879] lr: 6.5000e-03 eta: 1 day, 12:04:58 time: 1.0286 data_time: 0.0204 memory: 27035 grad_norm: 5.7112 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7556 loss: 2.7556 2022/08/08 16:32:12 - mmengine - INFO - Epoch(train) [2][160/1879] lr: 6.5000e-03 eta: 1 day, 11:58:43 time: 1.0288 data_time: 0.0203 memory: 27035 grad_norm: 5.6596 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7066 loss: 2.7066 2022/08/08 16:32:33 - mmengine - INFO - Epoch(train) [2][180/1879] lr: 6.5000e-03 eta: 1 day, 11:52:37 time: 1.0307 data_time: 0.0213 memory: 27035 grad_norm: 5.4596 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.7580 loss: 2.7580 2022/08/08 16:32:53 - mmengine - INFO - Epoch(train) [2][200/1879] lr: 6.5000e-03 eta: 1 day, 11:46:34 time: 1.0256 data_time: 0.0209 memory: 27035 grad_norm: 5.6034 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.6384 loss: 2.6384 2022/08/08 16:33:14 - mmengine - INFO - Epoch(train) [2][220/1879] lr: 6.5000e-03 eta: 1 day, 11:40:38 time: 1.0282 data_time: 0.0212 memory: 27035 grad_norm: 5.7656 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5731 loss: 2.5731 2022/08/08 16:33:35 - mmengine - INFO - Epoch(train) [2][240/1879] lr: 6.5000e-03 eta: 1 day, 11:34:50 time: 1.0287 data_time: 0.0209 memory: 27035 grad_norm: 5.6335 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4676 loss: 2.4676 2022/08/08 16:33:55 - mmengine - INFO - Epoch(train) [2][260/1879] lr: 6.5000e-03 eta: 1 day, 11:29:06 time: 1.0260 data_time: 0.0202 memory: 27035 grad_norm: 5.6428 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.4805 loss: 2.4805 2022/08/08 16:34:16 - mmengine - INFO - Epoch(train) [2][280/1879] lr: 6.5000e-03 eta: 1 day, 11:23:35 time: 1.0353 data_time: 0.0264 memory: 27035 grad_norm: 5.7129 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7349 loss: 2.7349 2022/08/08 16:34:36 - mmengine - INFO - Epoch(train) [2][300/1879] lr: 6.5000e-03 eta: 1 day, 11:18:01 time: 1.0246 data_time: 0.0210 memory: 27035 grad_norm: 5.6645 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.4953 loss: 2.4953 2022/08/08 16:34:57 - mmengine - INFO - Epoch(train) [2][320/1879] lr: 6.5000e-03 eta: 1 day, 11:12:34 time: 1.0261 data_time: 0.0207 memory: 27035 grad_norm: 5.6775 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.7594 loss: 2.7594 2022/08/08 16:35:18 - mmengine - INFO - Epoch(train) [2][340/1879] lr: 6.5000e-03 eta: 1 day, 11:07:30 time: 1.0466 data_time: 0.0343 memory: 27035 grad_norm: 5.6959 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6358 loss: 2.6358 2022/08/08 16:35:38 - mmengine - INFO - Epoch(train) [2][360/1879] lr: 6.5000e-03 eta: 1 day, 11:02:16 time: 1.0297 data_time: 0.0263 memory: 27035 grad_norm: 5.6621 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.5630 loss: 2.5630 2022/08/08 16:35:59 - mmengine - INFO - Epoch(train) [2][380/1879] lr: 6.5000e-03 eta: 1 day, 10:57:02 time: 1.0226 data_time: 0.0215 memory: 27035 grad_norm: 5.7868 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7197 loss: 2.7197 2022/08/08 16:36:19 - mmengine - INFO - Epoch(train) [2][400/1879] lr: 6.5000e-03 eta: 1 day, 10:51:54 time: 1.0236 data_time: 0.0203 memory: 27035 grad_norm: 5.7423 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6076 loss: 2.6076 2022/08/08 16:36:40 - mmengine - INFO - Epoch(train) [2][420/1879] lr: 6.5000e-03 eta: 1 day, 10:46:54 time: 1.0261 data_time: 0.0213 memory: 27035 grad_norm: 5.7729 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.7382 loss: 2.7382 2022/08/08 16:37:00 - mmengine - INFO - Epoch(train) [2][440/1879] lr: 6.5000e-03 eta: 1 day, 10:41:56 time: 1.0237 data_time: 0.0205 memory: 27035 grad_norm: 5.7174 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4889 loss: 2.4889 2022/08/08 16:37:22 - mmengine - INFO - Epoch(train) [2][460/1879] lr: 6.5000e-03 eta: 1 day, 10:37:32 time: 1.0615 data_time: 0.0557 memory: 27035 grad_norm: 5.5768 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6524 loss: 2.6524 2022/08/08 16:37:42 - mmengine - INFO - Epoch(train) [2][480/1879] lr: 6.5000e-03 eta: 1 day, 10:32:46 time: 1.0278 data_time: 0.0195 memory: 27035 grad_norm: 5.6698 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.6147 loss: 2.6147 2022/08/08 16:38:03 - mmengine - INFO - Epoch(train) [2][500/1879] lr: 6.5000e-03 eta: 1 day, 10:28:06 time: 1.0298 data_time: 0.0209 memory: 27035 grad_norm: 5.6752 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4244 loss: 2.4244 2022/08/08 16:38:23 - mmengine - INFO - Epoch(train) [2][520/1879] lr: 6.5000e-03 eta: 1 day, 10:23:31 time: 1.0295 data_time: 0.0205 memory: 27035 grad_norm: 5.6749 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.5662 loss: 2.5662 2022/08/08 16:38:44 - mmengine - INFO - Epoch(train) [2][540/1879] lr: 6.5000e-03 eta: 1 day, 10:18:55 time: 1.0239 data_time: 0.0207 memory: 27035 grad_norm: 5.8069 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5292 loss: 2.5292 2022/08/08 16:39:04 - mmengine - INFO - Epoch(train) [2][560/1879] lr: 6.5000e-03 eta: 1 day, 10:14:25 time: 1.0258 data_time: 0.0210 memory: 27035 grad_norm: 5.5626 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4359 loss: 2.4359 2022/08/08 16:39:25 - mmengine - INFO - Epoch(train) [2][580/1879] lr: 6.5000e-03 eta: 1 day, 10:09:58 time: 1.0237 data_time: 0.0215 memory: 27035 grad_norm: 5.7045 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5506 loss: 2.5506 2022/08/08 16:39:45 - mmengine - INFO - Epoch(train) [2][600/1879] lr: 6.5000e-03 eta: 1 day, 10:05:35 time: 1.0251 data_time: 0.0209 memory: 27035 grad_norm: 5.8283 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.8155 loss: 2.8155 2022/08/08 16:40:06 - mmengine - INFO - Epoch(train) [2][620/1879] lr: 6.5000e-03 eta: 1 day, 10:01:18 time: 1.0269 data_time: 0.0226 memory: 27035 grad_norm: 5.6827 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4588 loss: 2.4588 2022/08/08 16:40:28 - mmengine - INFO - Epoch(train) [2][640/1879] lr: 6.5000e-03 eta: 1 day, 9:57:59 time: 1.1015 data_time: 0.0957 memory: 27035 grad_norm: 5.6210 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4082 loss: 2.4082 2022/08/08 16:40:48 - mmengine - INFO - Epoch(train) [2][660/1879] lr: 6.5000e-03 eta: 1 day, 9:53:46 time: 1.0242 data_time: 0.0210 memory: 27035 grad_norm: 5.7899 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.6051 loss: 2.6051 2022/08/08 16:41:09 - mmengine - INFO - Epoch(train) [2][680/1879] lr: 6.5000e-03 eta: 1 day, 9:49:38 time: 1.0248 data_time: 0.0205 memory: 27035 grad_norm: 5.7557 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3943 loss: 2.3943 2022/08/08 16:41:29 - mmengine - INFO - Epoch(train) [2][700/1879] lr: 6.5000e-03 eta: 1 day, 9:45:33 time: 1.0245 data_time: 0.0200 memory: 27035 grad_norm: 5.7243 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7452 loss: 2.7452 2022/08/08 16:41:50 - mmengine - INFO - Epoch(train) [2][720/1879] lr: 6.5000e-03 eta: 1 day, 9:41:36 time: 1.0309 data_time: 0.0201 memory: 27035 grad_norm: 5.7144 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.4557 loss: 2.4557 2022/08/08 16:42:10 - mmengine - INFO - Epoch(train) [2][740/1879] lr: 6.5000e-03 eta: 1 day, 9:37:38 time: 1.0249 data_time: 0.0207 memory: 27035 grad_norm: 5.6291 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5099 loss: 2.5099 2022/08/08 16:42:31 - mmengine - INFO - Epoch(train) [2][760/1879] lr: 6.5000e-03 eta: 1 day, 9:33:45 time: 1.0271 data_time: 0.0202 memory: 27035 grad_norm: 5.6968 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4570 loss: 2.4570 2022/08/08 16:42:51 - mmengine - INFO - Epoch(train) [2][780/1879] lr: 6.5000e-03 eta: 1 day, 9:29:55 time: 1.0254 data_time: 0.0215 memory: 27035 grad_norm: 5.7301 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 2.5035 loss: 2.5035 2022/08/08 16:43:12 - mmengine - INFO - Epoch(train) [2][800/1879] lr: 6.5000e-03 eta: 1 day, 9:26:10 time: 1.0302 data_time: 0.0208 memory: 27035 grad_norm: 5.8095 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3423 loss: 2.3423 2022/08/08 16:43:33 - mmengine - INFO - Epoch(train) [2][820/1879] lr: 6.5000e-03 eta: 1 day, 9:22:26 time: 1.0265 data_time: 0.0209 memory: 27035 grad_norm: 5.7227 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4128 loss: 2.4128 2022/08/08 16:43:53 - mmengine - INFO - Epoch(train) [2][840/1879] lr: 6.5000e-03 eta: 1 day, 9:18:45 time: 1.0273 data_time: 0.0211 memory: 27035 grad_norm: 5.6688 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6431 loss: 2.6431 2022/08/08 16:44:14 - mmengine - INFO - Epoch(train) [2][860/1879] lr: 6.5000e-03 eta: 1 day, 9:15:08 time: 1.0270 data_time: 0.0206 memory: 27035 grad_norm: 5.7371 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2817 loss: 2.2817 2022/08/08 16:44:34 - mmengine - INFO - Epoch(train) [2][880/1879] lr: 6.5000e-03 eta: 1 day, 9:11:34 time: 1.0296 data_time: 0.0209 memory: 27035 grad_norm: 5.5844 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5983 loss: 2.5983 2022/08/08 16:44:55 - mmengine - INFO - Epoch(train) [2][900/1879] lr: 6.5000e-03 eta: 1 day, 9:08:02 time: 1.0263 data_time: 0.0206 memory: 27035 grad_norm: 5.6635 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3691 loss: 2.3691 2022/08/08 16:45:15 - mmengine - INFO - Epoch(train) [2][920/1879] lr: 6.5000e-03 eta: 1 day, 9:04:31 time: 1.0256 data_time: 0.0208 memory: 27035 grad_norm: 5.8301 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.5033 loss: 2.5033 2022/08/08 16:45:36 - mmengine - INFO - Epoch(train) [2][940/1879] lr: 6.5000e-03 eta: 1 day, 9:01:05 time: 1.0271 data_time: 0.0211 memory: 27035 grad_norm: 5.7241 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2716 loss: 2.2716 2022/08/08 16:45:56 - mmengine - INFO - Epoch(train) [2][960/1879] lr: 6.5000e-03 eta: 1 day, 8:57:41 time: 1.0277 data_time: 0.0198 memory: 27035 grad_norm: 5.6820 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4698 loss: 2.4698 2022/08/08 16:46:17 - mmengine - INFO - Epoch(train) [2][980/1879] lr: 6.5000e-03 eta: 1 day, 8:54:20 time: 1.0269 data_time: 0.0205 memory: 27035 grad_norm: 5.8582 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4125 loss: 2.4125 2022/08/08 16:46:37 - mmengine - INFO - Epoch(train) [2][1000/1879] lr: 6.5000e-03 eta: 1 day, 8:51:00 time: 1.0263 data_time: 0.0207 memory: 27035 grad_norm: 5.7619 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.4631 loss: 2.4631 2022/08/08 16:46:58 - mmengine - INFO - Epoch(train) [2][1020/1879] lr: 6.5000e-03 eta: 1 day, 8:47:44 time: 1.0274 data_time: 0.0199 memory: 27035 grad_norm: 5.6976 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2418 loss: 2.2418 2022/08/08 16:47:19 - mmengine - INFO - Epoch(train) [2][1040/1879] lr: 6.5000e-03 eta: 1 day, 8:44:44 time: 1.0496 data_time: 0.0225 memory: 27035 grad_norm: 5.8851 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3949 loss: 2.3949 2022/08/08 16:47:40 - mmengine - INFO - Epoch(train) [2][1060/1879] lr: 6.5000e-03 eta: 1 day, 8:41:37 time: 1.0351 data_time: 0.0284 memory: 27035 grad_norm: 5.8295 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2880 loss: 2.2880 2022/08/08 16:48:00 - mmengine - INFO - Epoch(train) [2][1080/1879] lr: 6.5000e-03 eta: 1 day, 8:38:30 time: 1.0315 data_time: 0.0222 memory: 27035 grad_norm: 5.8230 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2913 loss: 2.2913 2022/08/08 16:48:21 - mmengine - INFO - Epoch(train) [2][1100/1879] lr: 6.5000e-03 eta: 1 day, 8:35:23 time: 1.0278 data_time: 0.0212 memory: 27035 grad_norm: 5.6673 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.3307 loss: 2.3307 2022/08/08 16:48:41 - mmengine - INFO - Epoch(train) [2][1120/1879] lr: 6.5000e-03 eta: 1 day, 8:32:18 time: 1.0274 data_time: 0.0215 memory: 27035 grad_norm: 5.7691 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5026 loss: 2.5026 2022/08/08 16:48:43 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 16:49:02 - mmengine - INFO - Epoch(train) [2][1140/1879] lr: 6.5000e-03 eta: 1 day, 8:29:15 time: 1.0260 data_time: 0.0225 memory: 27035 grad_norm: 5.7587 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2942 loss: 2.2942 2022/08/08 16:49:23 - mmengine - INFO - Epoch(train) [2][1160/1879] lr: 6.5000e-03 eta: 1 day, 8:26:19 time: 1.0344 data_time: 0.0220 memory: 27035 grad_norm: 5.7589 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5763 loss: 2.5763 2022/08/08 16:49:43 - mmengine - INFO - Epoch(train) [2][1180/1879] lr: 6.5000e-03 eta: 1 day, 8:23:21 time: 1.0284 data_time: 0.0214 memory: 27035 grad_norm: 5.6541 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4203 loss: 2.4203 2022/08/08 16:50:04 - mmengine - INFO - Epoch(train) [2][1200/1879] lr: 6.5000e-03 eta: 1 day, 8:20:31 time: 1.0388 data_time: 0.0207 memory: 27035 grad_norm: 5.7174 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4248 loss: 2.4248 2022/08/08 16:50:26 - mmengine - INFO - Epoch(train) [2][1220/1879] lr: 6.5000e-03 eta: 1 day, 8:18:19 time: 1.0997 data_time: 0.0817 memory: 27035 grad_norm: 5.6865 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1357 loss: 2.1357 2022/08/08 16:50:47 - mmengine - INFO - Epoch(train) [2][1240/1879] lr: 6.5000e-03 eta: 1 day, 8:15:30 time: 1.0340 data_time: 0.0213 memory: 27035 grad_norm: 5.7228 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3513 loss: 2.3513 2022/08/08 16:51:07 - mmengine - INFO - Epoch(train) [2][1260/1879] lr: 6.5000e-03 eta: 1 day, 8:12:39 time: 1.0276 data_time: 0.0202 memory: 27035 grad_norm: 5.7070 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4529 loss: 2.4529 2022/08/08 16:51:28 - mmengine - INFO - Epoch(train) [2][1280/1879] lr: 6.5000e-03 eta: 1 day, 8:09:54 time: 1.0338 data_time: 0.0202 memory: 27035 grad_norm: 5.6873 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2885 loss: 2.2885 2022/08/08 16:51:48 - mmengine - INFO - Epoch(train) [2][1300/1879] lr: 6.5000e-03 eta: 1 day, 8:07:06 time: 1.0254 data_time: 0.0200 memory: 27035 grad_norm: 5.7058 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3648 loss: 2.3648 2022/08/08 16:52:09 - mmengine - INFO - Epoch(train) [2][1320/1879] lr: 6.5000e-03 eta: 1 day, 8:04:21 time: 1.0280 data_time: 0.0212 memory: 27035 grad_norm: 5.6432 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2837 loss: 2.2837 2022/08/08 16:52:30 - mmengine - INFO - Epoch(train) [2][1340/1879] lr: 6.5000e-03 eta: 1 day, 8:01:38 time: 1.0293 data_time: 0.0215 memory: 27035 grad_norm: 5.6303 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0298 loss: 2.0298 2022/08/08 16:52:50 - mmengine - INFO - Epoch(train) [2][1360/1879] lr: 6.5000e-03 eta: 1 day, 7:58:57 time: 1.0282 data_time: 0.0206 memory: 27035 grad_norm: 5.7383 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2525 loss: 2.2525 2022/08/08 16:53:11 - mmengine - INFO - Epoch(train) [2][1380/1879] lr: 6.5000e-03 eta: 1 day, 7:56:18 time: 1.0288 data_time: 0.0215 memory: 27035 grad_norm: 5.5832 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3961 loss: 2.3961 2022/08/08 16:53:31 - mmengine - INFO - Epoch(train) [2][1400/1879] lr: 6.5000e-03 eta: 1 day, 7:53:40 time: 1.0294 data_time: 0.0235 memory: 27035 grad_norm: 5.5529 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2474 loss: 2.2474 2022/08/08 16:53:52 - mmengine - INFO - Epoch(train) [2][1420/1879] lr: 6.5000e-03 eta: 1 day, 7:51:05 time: 1.0287 data_time: 0.0212 memory: 27035 grad_norm: 5.7169 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3611 loss: 2.3611 2022/08/08 16:54:12 - mmengine - INFO - Epoch(train) [2][1440/1879] lr: 6.5000e-03 eta: 1 day, 7:48:31 time: 1.0306 data_time: 0.0208 memory: 27035 grad_norm: 5.6918 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1142 loss: 2.1142 2022/08/08 16:54:33 - mmengine - INFO - Epoch(train) [2][1460/1879] lr: 6.5000e-03 eta: 1 day, 7:45:59 time: 1.0299 data_time: 0.0216 memory: 27035 grad_norm: 5.6658 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1733 loss: 2.1733 2022/08/08 16:54:54 - mmengine - INFO - Epoch(train) [2][1480/1879] lr: 6.5000e-03 eta: 1 day, 7:43:27 time: 1.0260 data_time: 0.0208 memory: 27035 grad_norm: 5.7390 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2374 loss: 2.2374 2022/08/08 16:55:14 - mmengine - INFO - Epoch(train) [2][1500/1879] lr: 6.5000e-03 eta: 1 day, 7:41:04 time: 1.0417 data_time: 0.0227 memory: 27035 grad_norm: 5.8174 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4892 loss: 2.4892 2022/08/08 16:55:35 - mmengine - INFO - Epoch(train) [2][1520/1879] lr: 6.5000e-03 eta: 1 day, 7:38:38 time: 1.0330 data_time: 0.0212 memory: 27035 grad_norm: 5.8978 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4799 loss: 2.4799 2022/08/08 16:55:56 - mmengine - INFO - Epoch(train) [2][1540/1879] lr: 6.5000e-03 eta: 1 day, 7:36:11 time: 1.0273 data_time: 0.0221 memory: 27035 grad_norm: 5.6957 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.2726 loss: 2.2726 2022/08/08 16:56:16 - mmengine - INFO - Epoch(train) [2][1560/1879] lr: 6.5000e-03 eta: 1 day, 7:33:46 time: 1.0295 data_time: 0.0214 memory: 27035 grad_norm: 5.7849 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9930 loss: 1.9930 2022/08/08 16:56:37 - mmengine - INFO - Epoch(train) [2][1580/1879] lr: 6.5000e-03 eta: 1 day, 7:31:21 time: 1.0254 data_time: 0.0215 memory: 27035 grad_norm: 5.8947 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3134 loss: 2.3134 2022/08/08 16:56:57 - mmengine - INFO - Epoch(train) [2][1600/1879] lr: 6.5000e-03 eta: 1 day, 7:28:57 time: 1.0264 data_time: 0.0209 memory: 27035 grad_norm: 5.7676 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3377 loss: 2.3377 2022/08/08 16:57:19 - mmengine - INFO - Epoch(train) [2][1620/1879] lr: 6.5000e-03 eta: 1 day, 7:26:59 time: 1.0724 data_time: 0.0210 memory: 27035 grad_norm: 5.8159 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4299 loss: 2.4299 2022/08/08 16:57:39 - mmengine - INFO - Epoch(train) [2][1640/1879] lr: 6.5000e-03 eta: 1 day, 7:24:38 time: 1.0272 data_time: 0.0201 memory: 27035 grad_norm: 5.6750 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0661 loss: 2.0661 2022/08/08 16:58:00 - mmengine - INFO - Epoch(train) [2][1660/1879] lr: 6.5000e-03 eta: 1 day, 7:22:19 time: 1.0264 data_time: 0.0209 memory: 27035 grad_norm: 5.7102 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2977 loss: 2.2977 2022/08/08 16:58:20 - mmengine - INFO - Epoch(train) [2][1680/1879] lr: 6.5000e-03 eta: 1 day, 7:20:02 time: 1.0295 data_time: 0.0218 memory: 27035 grad_norm: 5.8450 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1281 loss: 2.1281 2022/08/08 16:58:41 - mmengine - INFO - Epoch(train) [2][1700/1879] lr: 6.5000e-03 eta: 1 day, 7:17:46 time: 1.0268 data_time: 0.0207 memory: 27035 grad_norm: 5.7891 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.3117 loss: 2.3117 2022/08/08 16:59:01 - mmengine - INFO - Epoch(train) [2][1720/1879] lr: 6.5000e-03 eta: 1 day, 7:15:31 time: 1.0279 data_time: 0.0217 memory: 27035 grad_norm: 5.9822 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1432 loss: 2.1432 2022/08/08 16:59:22 - mmengine - INFO - Epoch(train) [2][1740/1879] lr: 6.5000e-03 eta: 1 day, 7:13:16 time: 1.0260 data_time: 0.0214 memory: 27035 grad_norm: 5.7753 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1468 loss: 2.1468 2022/08/08 16:59:43 - mmengine - INFO - Epoch(train) [2][1760/1879] lr: 6.5000e-03 eta: 1 day, 7:11:05 time: 1.0294 data_time: 0.0216 memory: 27035 grad_norm: 5.7356 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1882 loss: 2.1882 2022/08/08 17:00:03 - mmengine - INFO - Epoch(train) [2][1780/1879] lr: 6.5000e-03 eta: 1 day, 7:08:55 time: 1.0298 data_time: 0.0214 memory: 27035 grad_norm: 5.7535 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3632 loss: 2.3632 2022/08/08 17:00:25 - mmengine - INFO - Epoch(train) [2][1800/1879] lr: 6.5000e-03 eta: 1 day, 7:07:15 time: 1.0882 data_time: 0.0716 memory: 27035 grad_norm: 5.9268 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3045 loss: 2.3045 2022/08/08 17:00:45 - mmengine - INFO - Epoch(train) [2][1820/1879] lr: 6.5000e-03 eta: 1 day, 7:05:05 time: 1.0264 data_time: 0.0209 memory: 27035 grad_norm: 5.7871 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.4481 loss: 2.4481 2022/08/08 17:01:06 - mmengine - INFO - Epoch(train) [2][1840/1879] lr: 6.5000e-03 eta: 1 day, 7:02:56 time: 1.0261 data_time: 0.0213 memory: 27035 grad_norm: 5.7465 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1907 loss: 2.1907 2022/08/08 17:01:27 - mmengine - INFO - Epoch(train) [2][1860/1879] lr: 6.5000e-03 eta: 1 day, 7:00:51 time: 1.0294 data_time: 0.0213 memory: 27035 grad_norm: 5.6412 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2885 loss: 2.2885 2022/08/08 17:01:46 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 17:01:46 - mmengine - INFO - Epoch(train) [2][1879/1879] lr: 6.5000e-03 eta: 1 day, 7:00:51 time: 1.0010 data_time: 0.0209 memory: 27035 grad_norm: 5.7618 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.1226 loss: 2.1226 2022/08/08 17:02:01 - mmengine - INFO - Epoch(val) [2][20/155] eta: 0:01:46 time: 0.7854 data_time: 0.5132 memory: 3270 2022/08/08 17:02:11 - mmengine - INFO - Epoch(val) [2][40/155] eta: 0:00:57 time: 0.5000 data_time: 0.2294 memory: 3270 2022/08/08 17:02:24 - mmengine - INFO - Epoch(val) [2][60/155] eta: 0:01:01 time: 0.6517 data_time: 0.3818 memory: 3270 2022/08/08 17:02:35 - mmengine - INFO - Epoch(val) [2][80/155] eta: 0:00:39 time: 0.5305 data_time: 0.2614 memory: 3270 2022/08/08 17:02:48 - mmengine - INFO - Epoch(val) [2][100/155] eta: 0:00:36 time: 0.6689 data_time: 0.4000 memory: 3270 2022/08/08 17:03:01 - mmengine - INFO - Epoch(val) [2][120/155] eta: 0:00:21 time: 0.6108 data_time: 0.3399 memory: 3270 2022/08/08 17:03:15 - mmengine - INFO - Epoch(val) [2][140/155] eta: 0:00:10 time: 0.7255 data_time: 0.4565 memory: 3270 2022/08/08 17:03:24 - mmengine - INFO - Epoch(val) [2][155/155] acc/top1: 0.5037 acc/top5: 0.7728 acc/mean1: 0.5032 2022/08/08 17:03:24 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_2.pth is removed 2022/08/08 17:03:25 - mmengine - INFO - The best checkpoint with 0.5037 acc/top1 at 3 epoch is saved to best_acc/top1_epoch_3.pth. 2022/08/08 17:03:51 - mmengine - INFO - Epoch(train) [3][20/1879] lr: 1.1000e-02 eta: 1 day, 6:51:07 time: 1.2911 data_time: 0.2703 memory: 27035 grad_norm: 5.9460 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.3345 loss: 2.3345 2022/08/08 17:04:11 - mmengine - INFO - Epoch(train) [3][40/1879] lr: 1.1000e-02 eta: 1 day, 6:49:03 time: 1.0229 data_time: 0.0214 memory: 27035 grad_norm: 6.1077 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2226 loss: 2.2226 2022/08/08 17:04:32 - mmengine - INFO - Epoch(train) [3][60/1879] lr: 1.1000e-02 eta: 1 day, 6:47:04 time: 1.0316 data_time: 0.0213 memory: 27035 grad_norm: 5.9652 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4569 loss: 2.4569 2022/08/08 17:04:53 - mmengine - INFO - Epoch(train) [3][80/1879] lr: 1.1000e-02 eta: 1 day, 6:45:03 time: 1.0244 data_time: 0.0210 memory: 27035 grad_norm: 6.0171 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5302 loss: 2.5302 2022/08/08 17:05:14 - mmengine - INFO - Epoch(train) [3][100/1879] lr: 1.1000e-02 eta: 1 day, 6:43:18 time: 1.0560 data_time: 0.0238 memory: 27035 grad_norm: 5.9627 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.5970 loss: 2.5970 2022/08/08 17:05:34 - mmengine - INFO - Epoch(train) [3][120/1879] lr: 1.1000e-02 eta: 1 day, 6:41:24 time: 1.0346 data_time: 0.0219 memory: 27035 grad_norm: 5.8430 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5145 loss: 2.5145 2022/08/08 17:05:55 - mmengine - INFO - Epoch(train) [3][140/1879] lr: 1.1000e-02 eta: 1 day, 6:39:27 time: 1.0270 data_time: 0.0209 memory: 27035 grad_norm: 5.7673 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4055 loss: 2.4055 2022/08/08 17:06:15 - mmengine - INFO - Epoch(train) [3][160/1879] lr: 1.1000e-02 eta: 1 day, 6:37:31 time: 1.0271 data_time: 0.0208 memory: 27035 grad_norm: 5.7712 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4562 loss: 2.4562 2022/08/08 17:06:36 - mmengine - INFO - Epoch(train) [3][180/1879] lr: 1.1000e-02 eta: 1 day, 6:35:36 time: 1.0267 data_time: 0.0214 memory: 27035 grad_norm: 5.8293 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.6645 loss: 2.6645 2022/08/08 17:06:56 - mmengine - INFO - Epoch(train) [3][200/1879] lr: 1.1000e-02 eta: 1 day, 6:33:42 time: 1.0269 data_time: 0.0212 memory: 27035 grad_norm: 5.8576 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.5672 loss: 2.5672 2022/08/08 17:07:18 - mmengine - INFO - Epoch(train) [3][220/1879] lr: 1.1000e-02 eta: 1 day, 6:32:01 time: 1.0531 data_time: 0.0211 memory: 27035 grad_norm: 5.7915 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3351 loss: 2.3351 2022/08/08 17:07:38 - mmengine - INFO - Epoch(train) [3][240/1879] lr: 1.1000e-02 eta: 1 day, 6:30:11 time: 1.0299 data_time: 0.0199 memory: 27035 grad_norm: 5.8172 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6279 loss: 2.6279 2022/08/08 17:07:40 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 17:07:59 - mmengine - INFO - Epoch(train) [3][260/1879] lr: 1.1000e-02 eta: 1 day, 6:28:19 time: 1.0255 data_time: 0.0214 memory: 27035 grad_norm: 5.7544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6752 loss: 2.6752 2022/08/08 17:08:19 - mmengine - INFO - Epoch(train) [3][280/1879] lr: 1.1000e-02 eta: 1 day, 6:26:28 time: 1.0256 data_time: 0.0206 memory: 27035 grad_norm: 5.7021 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2968 loss: 2.2968 2022/08/08 17:08:40 - mmengine - INFO - Epoch(train) [3][300/1879] lr: 1.1000e-02 eta: 1 day, 6:24:38 time: 1.0252 data_time: 0.0202 memory: 27035 grad_norm: 5.7289 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5126 loss: 2.5126 2022/08/08 17:09:00 - mmengine - INFO - Epoch(train) [3][320/1879] lr: 1.1000e-02 eta: 1 day, 6:22:50 time: 1.0286 data_time: 0.0214 memory: 27035 grad_norm: 5.8122 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2833 loss: 2.2833 2022/08/08 17:09:21 - mmengine - INFO - Epoch(train) [3][340/1879] lr: 1.1000e-02 eta: 1 day, 6:21:02 time: 1.0264 data_time: 0.0204 memory: 27035 grad_norm: 5.6738 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6437 loss: 2.6437 2022/08/08 17:09:41 - mmengine - INFO - Epoch(train) [3][360/1879] lr: 1.1000e-02 eta: 1 day, 6:19:15 time: 1.0276 data_time: 0.0203 memory: 27035 grad_norm: 5.7745 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.5809 loss: 2.5809 2022/08/08 17:10:02 - mmengine - INFO - Epoch(train) [3][380/1879] lr: 1.1000e-02 eta: 1 day, 6:17:30 time: 1.0277 data_time: 0.0185 memory: 27035 grad_norm: 5.5624 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2629 loss: 2.2629 2022/08/08 17:10:23 - mmengine - INFO - Epoch(train) [3][400/1879] lr: 1.1000e-02 eta: 1 day, 6:15:53 time: 1.0453 data_time: 0.0310 memory: 27035 grad_norm: 5.6146 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6262 loss: 2.6262 2022/08/08 17:10:43 - mmengine - INFO - Epoch(train) [3][420/1879] lr: 1.1000e-02 eta: 1 day, 6:14:08 time: 1.0265 data_time: 0.0194 memory: 27035 grad_norm: 5.6886 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.5882 loss: 2.5882 2022/08/08 17:11:04 - mmengine - INFO - Epoch(train) [3][440/1879] lr: 1.1000e-02 eta: 1 day, 6:12:24 time: 1.0254 data_time: 0.0210 memory: 27035 grad_norm: 5.6158 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3690 loss: 2.3690 2022/08/08 17:11:24 - mmengine - INFO - Epoch(train) [3][460/1879] lr: 1.1000e-02 eta: 1 day, 6:10:41 time: 1.0270 data_time: 0.0200 memory: 27035 grad_norm: 5.6989 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6859 loss: 2.6859 2022/08/08 17:11:45 - mmengine - INFO - Epoch(train) [3][480/1879] lr: 1.1000e-02 eta: 1 day, 6:09:01 time: 1.0324 data_time: 0.0205 memory: 27035 grad_norm: 5.6786 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4755 loss: 2.4755 2022/08/08 17:12:06 - mmengine - INFO - Epoch(train) [3][500/1879] lr: 1.1000e-02 eta: 1 day, 6:07:21 time: 1.0297 data_time: 0.0199 memory: 27035 grad_norm: 5.6240 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4283 loss: 2.4283 2022/08/08 17:12:26 - mmengine - INFO - Epoch(train) [3][520/1879] lr: 1.1000e-02 eta: 1 day, 6:05:40 time: 1.0250 data_time: 0.0212 memory: 27035 grad_norm: 5.6673 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 2.4522 loss: 2.4522 2022/08/08 17:12:47 - mmengine - INFO - Epoch(train) [3][540/1879] lr: 1.1000e-02 eta: 1 day, 6:04:01 time: 1.0288 data_time: 0.0206 memory: 27035 grad_norm: 5.5674 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4471 loss: 2.4471 2022/08/08 17:13:07 - mmengine - INFO - Epoch(train) [3][560/1879] lr: 1.1000e-02 eta: 1 day, 6:02:22 time: 1.0265 data_time: 0.0202 memory: 27035 grad_norm: 5.7464 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6220 loss: 2.6220 2022/08/08 17:13:28 - mmengine - INFO - Epoch(train) [3][580/1879] lr: 1.1000e-02 eta: 1 day, 6:00:44 time: 1.0298 data_time: 0.0202 memory: 27035 grad_norm: 5.5985 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.5052 loss: 2.5052 2022/08/08 17:13:48 - mmengine - INFO - Epoch(train) [3][600/1879] lr: 1.1000e-02 eta: 1 day, 5:59:07 time: 1.0276 data_time: 0.0198 memory: 27035 grad_norm: 5.5598 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3022 loss: 2.3022 2022/08/08 17:14:09 - mmengine - INFO - Epoch(train) [3][620/1879] lr: 1.1000e-02 eta: 1 day, 5:57:31 time: 1.0279 data_time: 0.0211 memory: 27035 grad_norm: 5.6563 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.4618 loss: 2.4618 2022/08/08 17:14:29 - mmengine - INFO - Epoch(train) [3][640/1879] lr: 1.1000e-02 eta: 1 day, 5:55:54 time: 1.0270 data_time: 0.0208 memory: 27035 grad_norm: 5.3833 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0866 loss: 2.0866 2022/08/08 17:14:50 - mmengine - INFO - Epoch(train) [3][660/1879] lr: 1.1000e-02 eta: 1 day, 5:54:20 time: 1.0290 data_time: 0.0211 memory: 27035 grad_norm: 5.4440 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3665 loss: 2.3665 2022/08/08 17:15:11 - mmengine - INFO - Epoch(train) [3][680/1879] lr: 1.1000e-02 eta: 1 day, 5:52:48 time: 1.0343 data_time: 0.0230 memory: 27035 grad_norm: 5.4788 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4999 loss: 2.4999 2022/08/08 17:15:31 - mmengine - INFO - Epoch(train) [3][700/1879] lr: 1.1000e-02 eta: 1 day, 5:51:15 time: 1.0301 data_time: 0.0214 memory: 27035 grad_norm: 5.4491 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3952 loss: 2.3952 2022/08/08 17:15:52 - mmengine - INFO - Epoch(train) [3][720/1879] lr: 1.1000e-02 eta: 1 day, 5:49:42 time: 1.0277 data_time: 0.0206 memory: 27035 grad_norm: 5.4702 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4812 loss: 2.4812 2022/08/08 17:16:12 - mmengine - INFO - Epoch(train) [3][740/1879] lr: 1.1000e-02 eta: 1 day, 5:48:09 time: 1.0282 data_time: 0.0213 memory: 27035 grad_norm: 5.4965 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2905 loss: 2.2905 2022/08/08 17:16:33 - mmengine - INFO - Epoch(train) [3][760/1879] lr: 1.1000e-02 eta: 1 day, 5:46:38 time: 1.0286 data_time: 0.0211 memory: 27035 grad_norm: 5.4474 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1495 loss: 2.1495 2022/08/08 17:16:54 - mmengine - INFO - Epoch(train) [3][780/1879] lr: 1.1000e-02 eta: 1 day, 5:45:07 time: 1.0285 data_time: 0.0192 memory: 27035 grad_norm: 5.4835 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.2651 loss: 2.2651 2022/08/08 17:17:15 - mmengine - INFO - Epoch(train) [3][800/1879] lr: 1.1000e-02 eta: 1 day, 5:43:48 time: 1.0578 data_time: 0.0282 memory: 27035 grad_norm: 5.5238 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5275 loss: 2.5275 2022/08/08 17:17:35 - mmengine - INFO - Epoch(train) [3][820/1879] lr: 1.1000e-02 eta: 1 day, 5:42:19 time: 1.0320 data_time: 0.0200 memory: 27035 grad_norm: 5.3364 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.4256 loss: 2.4256 2022/08/08 17:17:56 - mmengine - INFO - Epoch(train) [3][840/1879] lr: 1.1000e-02 eta: 1 day, 5:40:49 time: 1.0267 data_time: 0.0190 memory: 27035 grad_norm: 5.4263 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2801 loss: 2.2801 2022/08/08 17:18:17 - mmengine - INFO - Epoch(train) [3][860/1879] lr: 1.1000e-02 eta: 1 day, 5:39:22 time: 1.0311 data_time: 0.0238 memory: 27035 grad_norm: 5.5896 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2702 loss: 2.2702 2022/08/08 17:18:37 - mmengine - INFO - Epoch(train) [3][880/1879] lr: 1.1000e-02 eta: 1 day, 5:37:52 time: 1.0258 data_time: 0.0222 memory: 27035 grad_norm: 5.3390 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 2.5637 loss: 2.5637 2022/08/08 17:18:58 - mmengine - INFO - Epoch(train) [3][900/1879] lr: 1.1000e-02 eta: 1 day, 5:36:25 time: 1.0279 data_time: 0.0216 memory: 27035 grad_norm: 5.4335 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4340 loss: 2.4340 2022/08/08 17:19:18 - mmengine - INFO - Epoch(train) [3][920/1879] lr: 1.1000e-02 eta: 1 day, 5:34:58 time: 1.0280 data_time: 0.0208 memory: 27035 grad_norm: 5.3832 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4383 loss: 2.4383 2022/08/08 17:19:39 - mmengine - INFO - Epoch(train) [3][940/1879] lr: 1.1000e-02 eta: 1 day, 5:33:31 time: 1.0288 data_time: 0.0207 memory: 27035 grad_norm: 5.5224 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1475 loss: 2.1475 2022/08/08 17:19:59 - mmengine - INFO - Epoch(train) [3][960/1879] lr: 1.1000e-02 eta: 1 day, 5:32:06 time: 1.0298 data_time: 0.0209 memory: 27035 grad_norm: 5.2449 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1924 loss: 2.1924 2022/08/08 17:20:20 - mmengine - INFO - Epoch(train) [3][980/1879] lr: 1.1000e-02 eta: 1 day, 5:30:46 time: 1.0415 data_time: 0.0303 memory: 27035 grad_norm: 5.3784 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3223 loss: 2.3223 2022/08/08 17:20:41 - mmengine - INFO - Epoch(train) [3][1000/1879] lr: 1.1000e-02 eta: 1 day, 5:29:22 time: 1.0303 data_time: 0.0216 memory: 27035 grad_norm: 5.5500 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1460 loss: 2.1460 2022/08/08 17:21:01 - mmengine - INFO - Epoch(train) [3][1020/1879] lr: 1.1000e-02 eta: 1 day, 5:27:57 time: 1.0282 data_time: 0.0209 memory: 27035 grad_norm: 5.3247 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2443 loss: 2.2443 2022/08/08 17:21:22 - mmengine - INFO - Epoch(train) [3][1040/1879] lr: 1.1000e-02 eta: 1 day, 5:26:35 time: 1.0305 data_time: 0.0219 memory: 27035 grad_norm: 5.2458 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.0838 loss: 2.0838 2022/08/08 17:21:43 - mmengine - INFO - Epoch(train) [3][1060/1879] lr: 1.1000e-02 eta: 1 day, 5:25:11 time: 1.0263 data_time: 0.0221 memory: 27035 grad_norm: 5.3742 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2704 loss: 2.2704 2022/08/08 17:22:03 - mmengine - INFO - Epoch(train) [3][1080/1879] lr: 1.1000e-02 eta: 1 day, 5:23:49 time: 1.0312 data_time: 0.0218 memory: 27035 grad_norm: 5.3585 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4744 loss: 2.4744 2022/08/08 17:22:24 - mmengine - INFO - Epoch(train) [3][1100/1879] lr: 1.1000e-02 eta: 1 day, 5:22:27 time: 1.0286 data_time: 0.0218 memory: 27035 grad_norm: 5.2914 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2437 loss: 2.2437 2022/08/08 17:22:44 - mmengine - INFO - Epoch(train) [3][1120/1879] lr: 1.1000e-02 eta: 1 day, 5:21:05 time: 1.0274 data_time: 0.0218 memory: 27035 grad_norm: 5.3820 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1891 loss: 2.1891 2022/08/08 17:23:05 - mmengine - INFO - Epoch(train) [3][1140/1879] lr: 1.1000e-02 eta: 1 day, 5:19:43 time: 1.0276 data_time: 0.0214 memory: 27035 grad_norm: 5.2788 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.3738 loss: 2.3738 2022/08/08 17:23:25 - mmengine - INFO - Epoch(train) [3][1160/1879] lr: 1.1000e-02 eta: 1 day, 5:18:24 time: 1.0305 data_time: 0.0265 memory: 27035 grad_norm: 5.3943 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4034 loss: 2.4034 2022/08/08 17:23:46 - mmengine - INFO - Epoch(train) [3][1180/1879] lr: 1.1000e-02 eta: 1 day, 5:17:04 time: 1.0288 data_time: 0.0233 memory: 27035 grad_norm: 5.4227 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2808 loss: 2.2808 2022/08/08 17:24:07 - mmengine - INFO - Epoch(train) [3][1200/1879] lr: 1.1000e-02 eta: 1 day, 5:15:44 time: 1.0278 data_time: 0.0220 memory: 27035 grad_norm: 5.3550 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3882 loss: 2.3882 2022/08/08 17:24:27 - mmengine - INFO - Epoch(train) [3][1220/1879] lr: 1.1000e-02 eta: 1 day, 5:14:24 time: 1.0273 data_time: 0.0224 memory: 27035 grad_norm: 5.3952 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2414 loss: 2.2414 2022/08/08 17:24:48 - mmengine - INFO - Epoch(train) [3][1240/1879] lr: 1.1000e-02 eta: 1 day, 5:13:06 time: 1.0295 data_time: 0.0222 memory: 27035 grad_norm: 5.2900 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1521 loss: 2.1521 2022/08/08 17:24:50 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 17:25:08 - mmengine - INFO - Epoch(train) [3][1260/1879] lr: 1.1000e-02 eta: 1 day, 5:11:50 time: 1.0367 data_time: 0.0222 memory: 27035 grad_norm: 5.2460 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3490 loss: 2.3490 2022/08/08 17:25:29 - mmengine - INFO - Epoch(train) [3][1280/1879] lr: 1.1000e-02 eta: 1 day, 5:10:37 time: 1.0408 data_time: 0.0305 memory: 27035 grad_norm: 5.2895 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.2370 loss: 2.2370 2022/08/08 17:25:50 - mmengine - INFO - Epoch(train) [3][1300/1879] lr: 1.1000e-02 eta: 1 day, 5:09:19 time: 1.0274 data_time: 0.0213 memory: 27035 grad_norm: 5.4466 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2371 loss: 2.2371 2022/08/08 17:26:10 - mmengine - INFO - Epoch(train) [3][1320/1879] lr: 1.1000e-02 eta: 1 day, 5:08:02 time: 1.0283 data_time: 0.0222 memory: 27035 grad_norm: 5.3248 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3373 loss: 2.3373 2022/08/08 17:26:31 - mmengine - INFO - Epoch(train) [3][1340/1879] lr: 1.1000e-02 eta: 1 day, 5:06:46 time: 1.0286 data_time: 0.0218 memory: 27035 grad_norm: 5.2652 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1616 loss: 2.1616 2022/08/08 17:26:52 - mmengine - INFO - Epoch(train) [3][1360/1879] lr: 1.1000e-02 eta: 1 day, 5:05:30 time: 1.0295 data_time: 0.0227 memory: 27035 grad_norm: 5.2956 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3280 loss: 2.3280 2022/08/08 17:27:12 - mmengine - INFO - Epoch(train) [3][1380/1879] lr: 1.1000e-02 eta: 1 day, 5:04:15 time: 1.0308 data_time: 0.0221 memory: 27035 grad_norm: 5.3010 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3712 loss: 2.3712 2022/08/08 17:27:33 - mmengine - INFO - Epoch(train) [3][1400/1879] lr: 1.1000e-02 eta: 1 day, 5:03:07 time: 1.0482 data_time: 0.0386 memory: 27035 grad_norm: 5.3655 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2850 loss: 2.2850 2022/08/08 17:27:54 - mmengine - INFO - Epoch(train) [3][1420/1879] lr: 1.1000e-02 eta: 1 day, 5:01:51 time: 1.0261 data_time: 0.0219 memory: 27035 grad_norm: 5.2567 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3130 loss: 2.3130 2022/08/08 17:28:14 - mmengine - INFO - Epoch(train) [3][1440/1879] lr: 1.1000e-02 eta: 1 day, 5:00:37 time: 1.0284 data_time: 0.0220 memory: 27035 grad_norm: 5.1988 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3213 loss: 2.3213 2022/08/08 17:28:35 - mmengine - INFO - Epoch(train) [3][1460/1879] lr: 1.1000e-02 eta: 1 day, 4:59:22 time: 1.0254 data_time: 0.0226 memory: 27035 grad_norm: 5.2289 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2183 loss: 2.2183 2022/08/08 17:28:55 - mmengine - INFO - Epoch(train) [3][1480/1879] lr: 1.1000e-02 eta: 1 day, 4:58:09 time: 1.0292 data_time: 0.0222 memory: 27035 grad_norm: 5.1667 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2466 loss: 2.2466 2022/08/08 17:29:16 - mmengine - INFO - Epoch(train) [3][1500/1879] lr: 1.1000e-02 eta: 1 day, 4:56:54 time: 1.0251 data_time: 0.0219 memory: 27035 grad_norm: 5.2114 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.3593 loss: 2.3593 2022/08/08 17:29:36 - mmengine - INFO - Epoch(train) [3][1520/1879] lr: 1.1000e-02 eta: 1 day, 4:55:42 time: 1.0289 data_time: 0.0218 memory: 27035 grad_norm: 5.2807 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2635 loss: 2.2635 2022/08/08 17:29:57 - mmengine - INFO - Epoch(train) [3][1540/1879] lr: 1.1000e-02 eta: 1 day, 4:54:28 time: 1.0255 data_time: 0.0225 memory: 27035 grad_norm: 5.3576 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3892 loss: 2.3892 2022/08/08 17:30:18 - mmengine - INFO - Epoch(train) [3][1560/1879] lr: 1.1000e-02 eta: 1 day, 4:53:27 time: 1.0594 data_time: 0.0318 memory: 27035 grad_norm: 5.3646 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3160 loss: 2.3160 2022/08/08 17:30:39 - mmengine - INFO - Epoch(train) [3][1580/1879] lr: 1.1000e-02 eta: 1 day, 4:52:16 time: 1.0324 data_time: 0.0238 memory: 27035 grad_norm: 5.2843 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2971 loss: 2.2971 2022/08/08 17:30:59 - mmengine - INFO - Epoch(train) [3][1600/1879] lr: 1.1000e-02 eta: 1 day, 4:51:04 time: 1.0248 data_time: 0.0217 memory: 27035 grad_norm: 5.3349 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4635 loss: 2.4635 2022/08/08 17:31:20 - mmengine - INFO - Epoch(train) [3][1620/1879] lr: 1.1000e-02 eta: 1 day, 4:49:53 time: 1.0270 data_time: 0.0223 memory: 27035 grad_norm: 5.4144 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3333 loss: 2.3333 2022/08/08 17:31:40 - mmengine - INFO - Epoch(train) [3][1640/1879] lr: 1.1000e-02 eta: 1 day, 4:48:43 time: 1.0319 data_time: 0.0286 memory: 27035 grad_norm: 5.2186 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3511 loss: 2.3511 2022/08/08 17:32:01 - mmengine - INFO - Epoch(train) [3][1660/1879] lr: 1.1000e-02 eta: 1 day, 4:47:33 time: 1.0292 data_time: 0.0219 memory: 27035 grad_norm: 5.1604 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.3004 loss: 2.3004 2022/08/08 17:32:21 - mmengine - INFO - Epoch(train) [3][1680/1879] lr: 1.1000e-02 eta: 1 day, 4:46:23 time: 1.0255 data_time: 0.0213 memory: 27035 grad_norm: 5.3118 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0868 loss: 2.0868 2022/08/08 17:32:42 - mmengine - INFO - Epoch(train) [3][1700/1879] lr: 1.1000e-02 eta: 1 day, 4:45:13 time: 1.0276 data_time: 0.0226 memory: 27035 grad_norm: 5.1246 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3119 loss: 2.3119 2022/08/08 17:33:03 - mmengine - INFO - Epoch(train) [3][1720/1879] lr: 1.1000e-02 eta: 1 day, 4:44:04 time: 1.0294 data_time: 0.0222 memory: 27035 grad_norm: 5.3156 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4104 loss: 2.4104 2022/08/08 17:33:23 - mmengine - INFO - Epoch(train) [3][1740/1879] lr: 1.1000e-02 eta: 1 day, 4:42:55 time: 1.0254 data_time: 0.0222 memory: 27035 grad_norm: 5.3699 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2889 loss: 2.2889 2022/08/08 17:33:44 - mmengine - INFO - Epoch(train) [3][1760/1879] lr: 1.1000e-02 eta: 1 day, 4:41:46 time: 1.0283 data_time: 0.0221 memory: 27035 grad_norm: 5.1973 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2211 loss: 2.2211 2022/08/08 17:34:04 - mmengine - INFO - Epoch(train) [3][1780/1879] lr: 1.1000e-02 eta: 1 day, 4:40:37 time: 1.0240 data_time: 0.0218 memory: 27035 grad_norm: 5.2329 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2608 loss: 2.2608 2022/08/08 17:34:25 - mmengine - INFO - Epoch(train) [3][1800/1879] lr: 1.1000e-02 eta: 1 day, 4:39:29 time: 1.0294 data_time: 0.0222 memory: 27035 grad_norm: 5.2691 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1590 loss: 2.1590 2022/08/08 17:34:45 - mmengine - INFO - Epoch(train) [3][1820/1879] lr: 1.1000e-02 eta: 1 day, 4:38:22 time: 1.0267 data_time: 0.0216 memory: 27035 grad_norm: 5.2242 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1180 loss: 2.1180 2022/08/08 17:35:06 - mmengine - INFO - Epoch(train) [3][1840/1879] lr: 1.1000e-02 eta: 1 day, 4:37:15 time: 1.0301 data_time: 0.0213 memory: 27035 grad_norm: 5.2731 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1510 loss: 2.1510 2022/08/08 17:35:28 - mmengine - INFO - Epoch(train) [3][1860/1879] lr: 1.1000e-02 eta: 1 day, 4:36:26 time: 1.0825 data_time: 0.0771 memory: 27035 grad_norm: 5.1434 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4242 loss: 2.4242 2022/08/08 17:35:46 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 17:35:46 - mmengine - INFO - Epoch(train) [3][1879/1879] lr: 1.1000e-02 eta: 1 day, 4:36:26 time: 0.9980 data_time: 0.0204 memory: 27035 grad_norm: 5.2003 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.1617 loss: 2.1617 2022/08/08 17:35:47 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/08/08 17:36:04 - mmengine - INFO - Epoch(val) [3][20/155] eta: 0:01:45 time: 0.7846 data_time: 0.5123 memory: 3270 2022/08/08 17:36:14 - mmengine - INFO - Epoch(val) [3][40/155] eta: 0:00:56 time: 0.4895 data_time: 0.2205 memory: 3270 2022/08/08 17:36:27 - mmengine - INFO - Epoch(val) [3][60/155] eta: 0:01:04 time: 0.6775 data_time: 0.4041 memory: 3270 2022/08/08 17:36:40 - mmengine - INFO - Epoch(val) [3][80/155] eta: 0:00:45 time: 0.6049 data_time: 0.3346 memory: 3270 2022/08/08 17:36:54 - mmengine - INFO - Epoch(val) [3][100/155] eta: 0:00:40 time: 0.7323 data_time: 0.4619 memory: 3270 2022/08/08 17:37:07 - mmengine - INFO - Epoch(val) [3][120/155] eta: 0:00:22 time: 0.6564 data_time: 0.3915 memory: 3270 2022/08/08 17:37:22 - mmengine - INFO - Epoch(val) [3][140/155] eta: 0:00:11 time: 0.7494 data_time: 0.4855 memory: 3270 2022/08/08 17:37:33 - mmengine - INFO - Epoch(val) [3][155/155] acc/top1: 0.4974 acc/top5: 0.7587 acc/mean1: 0.4975 2022/08/08 17:38:00 - mmengine - INFO - Epoch(train) [4][20/1879] lr: 1.5500e-02 eta: 1 day, 4:30:59 time: 1.3729 data_time: 0.3173 memory: 27035 grad_norm: 5.2687 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.2063 loss: 2.2063 2022/08/08 17:38:21 - mmengine - INFO - Epoch(train) [4][40/1879] lr: 1.5500e-02 eta: 1 day, 4:29:56 time: 1.0353 data_time: 0.0287 memory: 27035 grad_norm: 5.4206 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2211 loss: 2.2211 2022/08/08 17:38:42 - mmengine - INFO - Epoch(train) [4][60/1879] lr: 1.5500e-02 eta: 1 day, 4:28:50 time: 1.0234 data_time: 0.0220 memory: 27035 grad_norm: 5.3453 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3512 loss: 2.3512 2022/08/08 17:39:02 - mmengine - INFO - Epoch(train) [4][80/1879] lr: 1.5500e-02 eta: 1 day, 4:27:45 time: 1.0279 data_time: 0.0216 memory: 27035 grad_norm: 5.2754 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3280 loss: 2.3280 2022/08/08 17:39:23 - mmengine - INFO - Epoch(train) [4][100/1879] lr: 1.5500e-02 eta: 1 day, 4:26:40 time: 1.0246 data_time: 0.0223 memory: 27035 grad_norm: 5.3348 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4152 loss: 2.4152 2022/08/08 17:39:43 - mmengine - INFO - Epoch(train) [4][120/1879] lr: 1.5500e-02 eta: 1 day, 4:25:36 time: 1.0281 data_time: 0.0205 memory: 27035 grad_norm: 5.2845 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1724 loss: 2.1724 2022/08/08 17:40:04 - mmengine - INFO - Epoch(train) [4][140/1879] lr: 1.5500e-02 eta: 1 day, 4:24:33 time: 1.0302 data_time: 0.0238 memory: 27035 grad_norm: 5.2402 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2952 loss: 2.2952 2022/08/08 17:40:26 - mmengine - INFO - Epoch(train) [4][160/1879] lr: 1.5500e-02 eta: 1 day, 4:23:46 time: 1.0826 data_time: 0.0704 memory: 27035 grad_norm: 5.2978 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5922 loss: 2.5922 2022/08/08 17:40:46 - mmengine - INFO - Epoch(train) [4][180/1879] lr: 1.5500e-02 eta: 1 day, 4:22:42 time: 1.0242 data_time: 0.0217 memory: 27035 grad_norm: 5.2874 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5425 loss: 2.5425 2022/08/08 17:41:07 - mmengine - INFO - Epoch(train) [4][200/1879] lr: 1.5500e-02 eta: 1 day, 4:21:40 time: 1.0290 data_time: 0.0213 memory: 27035 grad_norm: 5.3366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5395 loss: 2.5395 2022/08/08 17:41:27 - mmengine - INFO - Epoch(train) [4][220/1879] lr: 1.5500e-02 eta: 1 day, 4:20:37 time: 1.0259 data_time: 0.0231 memory: 27035 grad_norm: 5.1806 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3768 loss: 2.3768 2022/08/08 17:41:48 - mmengine - INFO - Epoch(train) [4][240/1879] lr: 1.5500e-02 eta: 1 day, 4:19:35 time: 1.0317 data_time: 0.0219 memory: 27035 grad_norm: 5.0266 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2377 loss: 2.2377 2022/08/08 17:42:08 - mmengine - INFO - Epoch(train) [4][260/1879] lr: 1.5500e-02 eta: 1 day, 4:18:33 time: 1.0258 data_time: 0.0207 memory: 27035 grad_norm: 5.3673 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2859 loss: 2.2859 2022/08/08 17:42:29 - mmengine - INFO - Epoch(train) [4][280/1879] lr: 1.5500e-02 eta: 1 day, 4:17:31 time: 1.0268 data_time: 0.0226 memory: 27035 grad_norm: 5.0818 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2806 loss: 2.2806 2022/08/08 17:42:49 - mmengine - INFO - Epoch(train) [4][300/1879] lr: 1.5500e-02 eta: 1 day, 4:16:29 time: 1.0252 data_time: 0.0215 memory: 27035 grad_norm: 5.0773 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.5702 loss: 2.5702 2022/08/08 17:43:10 - mmengine - INFO - Epoch(train) [4][320/1879] lr: 1.5500e-02 eta: 1 day, 4:15:28 time: 1.0284 data_time: 0.0220 memory: 27035 grad_norm: 5.1677 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4398 loss: 2.4398 2022/08/08 17:43:30 - mmengine - INFO - Epoch(train) [4][340/1879] lr: 1.5500e-02 eta: 1 day, 4:14:25 time: 1.0228 data_time: 0.0224 memory: 27035 grad_norm: 5.1251 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5083 loss: 2.5083 2022/08/08 17:43:51 - mmengine - INFO - Epoch(train) [4][360/1879] lr: 1.5500e-02 eta: 1 day, 4:13:24 time: 1.0243 data_time: 0.0218 memory: 27035 grad_norm: 5.1027 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2506 loss: 2.2506 2022/08/08 17:43:54 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 17:44:11 - mmengine - INFO - Epoch(train) [4][380/1879] lr: 1.5500e-02 eta: 1 day, 4:12:22 time: 1.0242 data_time: 0.0231 memory: 27035 grad_norm: 4.9741 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3469 loss: 2.3469 2022/08/08 17:44:32 - mmengine - INFO - Epoch(train) [4][400/1879] lr: 1.5500e-02 eta: 1 day, 4:11:22 time: 1.0275 data_time: 0.0224 memory: 27035 grad_norm: 5.0202 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.4075 loss: 2.4075 2022/08/08 17:44:52 - mmengine - INFO - Epoch(train) [4][420/1879] lr: 1.5500e-02 eta: 1 day, 4:10:22 time: 1.0278 data_time: 0.0226 memory: 27035 grad_norm: 4.9412 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3219 loss: 2.3219 2022/08/08 17:45:13 - mmengine - INFO - Epoch(train) [4][440/1879] lr: 1.5500e-02 eta: 1 day, 4:09:24 time: 1.0322 data_time: 0.0221 memory: 27035 grad_norm: 5.0248 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4188 loss: 2.4188 2022/08/08 17:45:34 - mmengine - INFO - Epoch(train) [4][460/1879] lr: 1.5500e-02 eta: 1 day, 4:08:25 time: 1.0301 data_time: 0.0226 memory: 27035 grad_norm: 5.1170 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4245 loss: 2.4245 2022/08/08 17:45:54 - mmengine - INFO - Epoch(train) [4][480/1879] lr: 1.5500e-02 eta: 1 day, 4:07:27 time: 1.0306 data_time: 0.0215 memory: 27035 grad_norm: 5.1520 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4951 loss: 2.4951 2022/08/08 17:46:15 - mmengine - INFO - Epoch(train) [4][500/1879] lr: 1.5500e-02 eta: 1 day, 4:06:29 time: 1.0304 data_time: 0.0227 memory: 27035 grad_norm: 5.2589 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4433 loss: 2.4433 2022/08/08 17:46:35 - mmengine - INFO - Epoch(train) [4][520/1879] lr: 1.5500e-02 eta: 1 day, 4:05:30 time: 1.0270 data_time: 0.0228 memory: 27035 grad_norm: 5.0222 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2954 loss: 2.2954 2022/08/08 17:46:56 - mmengine - INFO - Epoch(train) [4][540/1879] lr: 1.5500e-02 eta: 1 day, 4:04:32 time: 1.0290 data_time: 0.0251 memory: 27035 grad_norm: 5.0277 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3982 loss: 2.3982 2022/08/08 17:47:17 - mmengine - INFO - Epoch(train) [4][560/1879] lr: 1.5500e-02 eta: 1 day, 4:03:42 time: 1.0555 data_time: 0.0226 memory: 27035 grad_norm: 4.9311 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2751 loss: 2.2751 2022/08/08 17:47:38 - mmengine - INFO - Epoch(train) [4][580/1879] lr: 1.5500e-02 eta: 1 day, 4:02:44 time: 1.0283 data_time: 0.0225 memory: 27035 grad_norm: 5.0139 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.4880 loss: 2.4880 2022/08/08 17:47:58 - mmengine - INFO - Epoch(train) [4][600/1879] lr: 1.5500e-02 eta: 1 day, 4:01:48 time: 1.0310 data_time: 0.0228 memory: 27035 grad_norm: 4.9332 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3447 loss: 2.3447 2022/08/08 17:48:19 - mmengine - INFO - Epoch(train) [4][620/1879] lr: 1.5500e-02 eta: 1 day, 4:00:50 time: 1.0279 data_time: 0.0229 memory: 27035 grad_norm: 4.9983 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.4103 loss: 2.4103 2022/08/08 17:48:39 - mmengine - INFO - Epoch(train) [4][640/1879] lr: 1.5500e-02 eta: 1 day, 3:59:54 time: 1.0314 data_time: 0.0222 memory: 27035 grad_norm: 4.9147 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2093 loss: 2.2093 2022/08/08 17:49:00 - mmengine - INFO - Epoch(train) [4][660/1879] lr: 1.5500e-02 eta: 1 day, 3:58:58 time: 1.0292 data_time: 0.0226 memory: 27035 grad_norm: 4.9611 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2994 loss: 2.2994 2022/08/08 17:49:21 - mmengine - INFO - Epoch(train) [4][680/1879] lr: 1.5500e-02 eta: 1 day, 3:58:00 time: 1.0259 data_time: 0.0222 memory: 27035 grad_norm: 5.0998 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.2944 loss: 2.2944 2022/08/08 17:49:41 - mmengine - INFO - Epoch(train) [4][700/1879] lr: 1.5500e-02 eta: 1 day, 3:57:05 time: 1.0304 data_time: 0.0222 memory: 27035 grad_norm: 4.9921 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4930 loss: 2.4930 2022/08/08 17:50:02 - mmengine - INFO - Epoch(train) [4][720/1879] lr: 1.5500e-02 eta: 1 day, 3:56:10 time: 1.0343 data_time: 0.0300 memory: 27035 grad_norm: 4.9219 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.4132 loss: 2.4132 2022/08/08 17:50:23 - mmengine - INFO - Epoch(train) [4][740/1879] lr: 1.5500e-02 eta: 1 day, 3:55:21 time: 1.0540 data_time: 0.0328 memory: 27035 grad_norm: 4.8391 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3342 loss: 2.3342 2022/08/08 17:50:44 - mmengine - INFO - Epoch(train) [4][760/1879] lr: 1.5500e-02 eta: 1 day, 3:54:26 time: 1.0280 data_time: 0.0216 memory: 27035 grad_norm: 4.8484 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3662 loss: 2.3662 2022/08/08 17:51:04 - mmengine - INFO - Epoch(train) [4][780/1879] lr: 1.5500e-02 eta: 1 day, 3:53:30 time: 1.0270 data_time: 0.0226 memory: 27035 grad_norm: 4.9557 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3069 loss: 2.3069 2022/08/08 17:51:25 - mmengine - INFO - Epoch(train) [4][800/1879] lr: 1.5500e-02 eta: 1 day, 3:52:35 time: 1.0299 data_time: 0.0219 memory: 27035 grad_norm: 4.7969 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0847 loss: 2.0847 2022/08/08 17:51:45 - mmengine - INFO - Epoch(train) [4][820/1879] lr: 1.5500e-02 eta: 1 day, 3:51:39 time: 1.0253 data_time: 0.0215 memory: 27035 grad_norm: 4.7620 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1760 loss: 2.1760 2022/08/08 17:52:06 - mmengine - INFO - Epoch(train) [4][840/1879] lr: 1.5500e-02 eta: 1 day, 3:50:45 time: 1.0313 data_time: 0.0223 memory: 27035 grad_norm: 5.0353 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.2835 loss: 2.2835 2022/08/08 17:52:26 - mmengine - INFO - Epoch(train) [4][860/1879] lr: 1.5500e-02 eta: 1 day, 3:49:50 time: 1.0263 data_time: 0.0213 memory: 27035 grad_norm: 4.8924 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3456 loss: 2.3456 2022/08/08 17:52:47 - mmengine - INFO - Epoch(train) [4][880/1879] lr: 1.5500e-02 eta: 1 day, 3:48:56 time: 1.0292 data_time: 0.0223 memory: 27035 grad_norm: 4.8923 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2007 loss: 2.2007 2022/08/08 17:53:08 - mmengine - INFO - Epoch(train) [4][900/1879] lr: 1.5500e-02 eta: 1 day, 3:48:02 time: 1.0304 data_time: 0.0228 memory: 27035 grad_norm: 4.8055 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2916 loss: 2.2916 2022/08/08 17:53:28 - mmengine - INFO - Epoch(train) [4][920/1879] lr: 1.5500e-02 eta: 1 day, 3:47:08 time: 1.0275 data_time: 0.0223 memory: 27035 grad_norm: 4.8177 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3538 loss: 2.3538 2022/08/08 17:53:49 - mmengine - INFO - Epoch(train) [4][940/1879] lr: 1.5500e-02 eta: 1 day, 3:46:15 time: 1.0312 data_time: 0.0222 memory: 27035 grad_norm: 4.7042 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.2154 loss: 2.2154 2022/08/08 17:54:09 - mmengine - INFO - Epoch(train) [4][960/1879] lr: 1.5500e-02 eta: 1 day, 3:45:21 time: 1.0268 data_time: 0.0215 memory: 27035 grad_norm: 4.7738 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1335 loss: 2.1335 2022/08/08 17:54:30 - mmengine - INFO - Epoch(train) [4][980/1879] lr: 1.5500e-02 eta: 1 day, 3:44:28 time: 1.0315 data_time: 0.0230 memory: 27035 grad_norm: 4.8147 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3774 loss: 2.3774 2022/08/08 17:54:51 - mmengine - INFO - Epoch(train) [4][1000/1879] lr: 1.5500e-02 eta: 1 day, 3:43:37 time: 1.0333 data_time: 0.0280 memory: 27035 grad_norm: 4.7799 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2714 loss: 2.2714 2022/08/08 17:55:11 - mmengine - INFO - Epoch(train) [4][1020/1879] lr: 1.5500e-02 eta: 1 day, 3:42:44 time: 1.0302 data_time: 0.0227 memory: 27035 grad_norm: 4.6966 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1557 loss: 2.1557 2022/08/08 17:55:32 - mmengine - INFO - Epoch(train) [4][1040/1879] lr: 1.5500e-02 eta: 1 day, 3:41:51 time: 1.0273 data_time: 0.0224 memory: 27035 grad_norm: 4.8022 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3520 loss: 2.3520 2022/08/08 17:55:52 - mmengine - INFO - Epoch(train) [4][1060/1879] lr: 1.5500e-02 eta: 1 day, 3:40:58 time: 1.0254 data_time: 0.0222 memory: 27035 grad_norm: 4.8152 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2366 loss: 2.2366 2022/08/08 17:56:13 - mmengine - INFO - Epoch(train) [4][1080/1879] lr: 1.5500e-02 eta: 1 day, 3:40:06 time: 1.0305 data_time: 0.0229 memory: 27035 grad_norm: 4.8966 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3509 loss: 2.3509 2022/08/08 17:56:33 - mmengine - INFO - Epoch(train) [4][1100/1879] lr: 1.5500e-02 eta: 1 day, 3:39:15 time: 1.0327 data_time: 0.0277 memory: 27035 grad_norm: 4.7189 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1783 loss: 2.1783 2022/08/08 17:56:54 - mmengine - INFO - Epoch(train) [4][1120/1879] lr: 1.5500e-02 eta: 1 day, 3:38:23 time: 1.0312 data_time: 0.0222 memory: 27035 grad_norm: 4.6482 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.3360 loss: 2.3360 2022/08/08 17:57:16 - mmengine - INFO - Epoch(train) [4][1140/1879] lr: 1.5500e-02 eta: 1 day, 3:37:43 time: 1.0732 data_time: 0.0219 memory: 27035 grad_norm: 4.8514 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1924 loss: 2.1924 2022/08/08 17:57:36 - mmengine - INFO - Epoch(train) [4][1160/1879] lr: 1.5500e-02 eta: 1 day, 3:36:52 time: 1.0290 data_time: 0.0219 memory: 27035 grad_norm: 4.8678 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.3751 loss: 2.3751 2022/08/08 17:57:57 - mmengine - INFO - Epoch(train) [4][1180/1879] lr: 1.5500e-02 eta: 1 day, 3:36:00 time: 1.0275 data_time: 0.0222 memory: 27035 grad_norm: 4.6478 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2472 loss: 2.2472 2022/08/08 17:58:17 - mmengine - INFO - Epoch(train) [4][1200/1879] lr: 1.5500e-02 eta: 1 day, 3:35:10 time: 1.0337 data_time: 0.0222 memory: 27035 grad_norm: 4.7305 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3357 loss: 2.3357 2022/08/08 17:58:38 - mmengine - INFO - Epoch(train) [4][1220/1879] lr: 1.5500e-02 eta: 1 day, 3:34:18 time: 1.0260 data_time: 0.0232 memory: 27035 grad_norm: 4.7937 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0560 loss: 2.0560 2022/08/08 17:58:58 - mmengine - INFO - Epoch(train) [4][1240/1879] lr: 1.5500e-02 eta: 1 day, 3:33:27 time: 1.0273 data_time: 0.0222 memory: 27035 grad_norm: 4.7288 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.3169 loss: 2.3169 2022/08/08 17:59:19 - mmengine - INFO - Epoch(train) [4][1260/1879] lr: 1.5500e-02 eta: 1 day, 3:32:38 time: 1.0356 data_time: 0.0287 memory: 27035 grad_norm: 4.7803 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3454 loss: 2.3454 2022/08/08 17:59:40 - mmengine - INFO - Epoch(train) [4][1280/1879] lr: 1.5500e-02 eta: 1 day, 3:31:47 time: 1.0282 data_time: 0.0212 memory: 27035 grad_norm: 4.7619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3176 loss: 2.3176 2022/08/08 18:00:00 - mmengine - INFO - Epoch(train) [4][1300/1879] lr: 1.5500e-02 eta: 1 day, 3:30:56 time: 1.0267 data_time: 0.0217 memory: 27035 grad_norm: 4.6149 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2143 loss: 2.2143 2022/08/08 18:00:22 - mmengine - INFO - Epoch(train) [4][1320/1879] lr: 1.5500e-02 eta: 1 day, 3:30:20 time: 1.0849 data_time: 0.0286 memory: 27035 grad_norm: 4.8018 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1550 loss: 2.1550 2022/08/08 18:00:42 - mmengine - INFO - Epoch(train) [4][1340/1879] lr: 1.5500e-02 eta: 1 day, 3:29:29 time: 1.0263 data_time: 0.0216 memory: 27035 grad_norm: 4.7155 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.1292 loss: 2.1292 2022/08/08 18:01:03 - mmengine - INFO - Epoch(train) [4][1360/1879] lr: 1.5500e-02 eta: 1 day, 3:28:39 time: 1.0274 data_time: 0.0198 memory: 27035 grad_norm: 4.6363 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0941 loss: 2.0941 2022/08/08 18:01:06 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 18:01:24 - mmengine - INFO - Epoch(train) [4][1380/1879] lr: 1.5500e-02 eta: 1 day, 3:27:49 time: 1.0258 data_time: 0.0218 memory: 27035 grad_norm: 4.8270 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3297 loss: 2.3297 2022/08/08 18:01:44 - mmengine - INFO - Epoch(train) [4][1400/1879] lr: 1.5500e-02 eta: 1 day, 3:26:59 time: 1.0286 data_time: 0.0226 memory: 27035 grad_norm: 4.8144 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0853 loss: 2.0853 2022/08/08 18:02:05 - mmengine - INFO - Epoch(train) [4][1420/1879] lr: 1.5500e-02 eta: 1 day, 3:26:10 time: 1.0306 data_time: 0.0217 memory: 27035 grad_norm: 4.5832 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.2202 loss: 2.2202 2022/08/08 18:02:25 - mmengine - INFO - Epoch(train) [4][1440/1879] lr: 1.5500e-02 eta: 1 day, 3:25:20 time: 1.0251 data_time: 0.0217 memory: 27035 grad_norm: 4.7479 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.3197 loss: 2.3197 2022/08/08 18:02:46 - mmengine - INFO - Epoch(train) [4][1460/1879] lr: 1.5500e-02 eta: 1 day, 3:24:31 time: 1.0307 data_time: 0.0219 memory: 27035 grad_norm: 4.6853 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1733 loss: 2.1733 2022/08/08 18:03:06 - mmengine - INFO - Epoch(train) [4][1480/1879] lr: 1.5500e-02 eta: 1 day, 3:23:43 time: 1.0288 data_time: 0.0212 memory: 27035 grad_norm: 4.7106 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2726 loss: 2.2726 2022/08/08 18:03:27 - mmengine - INFO - Epoch(train) [4][1500/1879] lr: 1.5500e-02 eta: 1 day, 3:22:54 time: 1.0302 data_time: 0.0211 memory: 27035 grad_norm: 4.6213 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1995 loss: 2.1995 2022/08/08 18:03:48 - mmengine - INFO - Epoch(train) [4][1520/1879] lr: 1.5500e-02 eta: 1 day, 3:22:05 time: 1.0281 data_time: 0.0210 memory: 27035 grad_norm: 4.6532 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.1081 loss: 2.1081 2022/08/08 18:04:08 - mmengine - INFO - Epoch(train) [4][1540/1879] lr: 1.5500e-02 eta: 1 day, 3:21:17 time: 1.0271 data_time: 0.0210 memory: 27035 grad_norm: 4.6992 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.2169 loss: 2.2169 2022/08/08 18:04:29 - mmengine - INFO - Epoch(train) [4][1560/1879] lr: 1.5500e-02 eta: 1 day, 3:20:28 time: 1.0276 data_time: 0.0215 memory: 27035 grad_norm: 4.6590 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2476 loss: 2.2476 2022/08/08 18:04:49 - mmengine - INFO - Epoch(train) [4][1580/1879] lr: 1.5500e-02 eta: 1 day, 3:19:40 time: 1.0277 data_time: 0.0242 memory: 27035 grad_norm: 4.5918 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2584 loss: 2.2584 2022/08/08 18:05:10 - mmengine - INFO - Epoch(train) [4][1600/1879] lr: 1.5500e-02 eta: 1 day, 3:18:52 time: 1.0311 data_time: 0.0219 memory: 27035 grad_norm: 4.7569 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3307 loss: 2.3307 2022/08/08 18:05:31 - mmengine - INFO - Epoch(train) [4][1620/1879] lr: 1.5500e-02 eta: 1 day, 3:18:06 time: 1.0367 data_time: 0.0236 memory: 27035 grad_norm: 4.7741 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 2.1708 loss: 2.1708 2022/08/08 18:05:51 - mmengine - INFO - Epoch(train) [4][1640/1879] lr: 1.5500e-02 eta: 1 day, 3:17:19 time: 1.0285 data_time: 0.0217 memory: 27035 grad_norm: 4.7263 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.2907 loss: 2.2907 2022/08/08 18:06:12 - mmengine - INFO - Epoch(train) [4][1660/1879] lr: 1.5500e-02 eta: 1 day, 3:16:30 time: 1.0246 data_time: 0.0206 memory: 27035 grad_norm: 4.5239 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1481 loss: 2.1481 2022/08/08 18:06:32 - mmengine - INFO - Epoch(train) [4][1680/1879] lr: 1.5500e-02 eta: 1 day, 3:15:43 time: 1.0281 data_time: 0.0220 memory: 27035 grad_norm: 4.5298 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3572 loss: 2.3572 2022/08/08 18:06:53 - mmengine - INFO - Epoch(train) [4][1700/1879] lr: 1.5500e-02 eta: 1 day, 3:14:54 time: 1.0244 data_time: 0.0210 memory: 27035 grad_norm: 4.5797 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1543 loss: 2.1543 2022/08/08 18:07:14 - mmengine - INFO - Epoch(train) [4][1720/1879] lr: 1.5500e-02 eta: 1 day, 3:14:16 time: 1.0670 data_time: 0.0225 memory: 27035 grad_norm: 4.6062 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2158 loss: 2.2158 2022/08/08 18:07:35 - mmengine - INFO - Epoch(train) [4][1740/1879] lr: 1.5500e-02 eta: 1 day, 3:13:28 time: 1.0251 data_time: 0.0210 memory: 27035 grad_norm: 4.6407 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1549 loss: 2.1549 2022/08/08 18:07:55 - mmengine - INFO - Epoch(train) [4][1760/1879] lr: 1.5500e-02 eta: 1 day, 3:12:41 time: 1.0273 data_time: 0.0221 memory: 27035 grad_norm: 4.5558 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0040 loss: 2.0040 2022/08/08 18:08:16 - mmengine - INFO - Epoch(train) [4][1780/1879] lr: 1.5500e-02 eta: 1 day, 3:11:54 time: 1.0253 data_time: 0.0214 memory: 27035 grad_norm: 4.6339 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1688 loss: 2.1688 2022/08/08 18:08:36 - mmengine - INFO - Epoch(train) [4][1800/1879] lr: 1.5500e-02 eta: 1 day, 3:11:08 time: 1.0323 data_time: 0.0255 memory: 27035 grad_norm: 4.6209 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1780 loss: 2.1780 2022/08/08 18:08:57 - mmengine - INFO - Epoch(train) [4][1820/1879] lr: 1.5500e-02 eta: 1 day, 3:10:21 time: 1.0256 data_time: 0.0217 memory: 27035 grad_norm: 4.5185 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.0809 loss: 2.0809 2022/08/08 18:09:17 - mmengine - INFO - Epoch(train) [4][1840/1879] lr: 1.5500e-02 eta: 1 day, 3:09:35 time: 1.0289 data_time: 0.0224 memory: 27035 grad_norm: 4.4292 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9527 loss: 1.9527 2022/08/08 18:09:38 - mmengine - INFO - Epoch(train) [4][1860/1879] lr: 1.5500e-02 eta: 1 day, 3:08:48 time: 1.0268 data_time: 0.0226 memory: 27035 grad_norm: 4.5937 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0552 loss: 2.0552 2022/08/08 18:09:57 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 18:09:57 - mmengine - INFO - Epoch(train) [4][1879/1879] lr: 1.5500e-02 eta: 1 day, 3:08:48 time: 1.0027 data_time: 0.0208 memory: 27035 grad_norm: 4.6380 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 2.0867 loss: 2.0867 2022/08/08 18:10:15 - mmengine - INFO - Epoch(val) [4][20/155] eta: 0:02:01 time: 0.9022 data_time: 0.6329 memory: 3270 2022/08/08 18:10:26 - mmengine - INFO - Epoch(val) [4][40/155] eta: 0:01:01 time: 0.5368 data_time: 0.2662 memory: 3270 2022/08/08 18:10:39 - mmengine - INFO - Epoch(val) [4][60/155] eta: 0:01:04 time: 0.6771 data_time: 0.4045 memory: 3270 2022/08/08 18:10:50 - mmengine - INFO - Epoch(val) [4][80/155] eta: 0:00:39 time: 0.5300 data_time: 0.2574 memory: 3270 2022/08/08 18:11:03 - mmengine - INFO - Epoch(val) [4][100/155] eta: 0:00:35 time: 0.6446 data_time: 0.3724 memory: 3270 2022/08/08 18:11:14 - mmengine - INFO - Epoch(val) [4][120/155] eta: 0:00:19 time: 0.5559 data_time: 0.2832 memory: 3270 2022/08/08 18:11:28 - mmengine - INFO - Epoch(val) [4][140/155] eta: 0:00:10 time: 0.6869 data_time: 0.4160 memory: 3270 2022/08/08 18:11:36 - mmengine - INFO - Epoch(val) [4][155/155] acc/top1: 0.5111 acc/top5: 0.7760 acc/mean1: 0.5108 2022/08/08 18:11:37 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_3.pth is removed 2022/08/08 18:11:38 - mmengine - INFO - The best checkpoint with 0.5111 acc/top1 at 5 epoch is saved to best_acc/top1_epoch_5.pth. 2022/08/08 18:12:03 - mmengine - INFO - Epoch(train) [5][20/1879] lr: 2.0000e-02 eta: 1 day, 3:04:25 time: 1.2512 data_time: 0.2258 memory: 27035 grad_norm: 4.5899 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3636 loss: 2.3636 2022/08/08 18:12:23 - mmengine - INFO - Epoch(train) [5][40/1879] lr: 2.0000e-02 eta: 1 day, 3:03:40 time: 1.0280 data_time: 0.0222 memory: 27035 grad_norm: 4.6850 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2287 loss: 2.2287 2022/08/08 18:12:44 - mmengine - INFO - Epoch(train) [5][60/1879] lr: 2.0000e-02 eta: 1 day, 3:02:57 time: 1.0376 data_time: 0.0348 memory: 27035 grad_norm: 4.6627 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0833 loss: 2.0833 2022/08/08 18:13:05 - mmengine - INFO - Epoch(train) [5][80/1879] lr: 2.0000e-02 eta: 1 day, 3:02:12 time: 1.0278 data_time: 0.0232 memory: 27035 grad_norm: 4.6514 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.2633 loss: 2.2633 2022/08/08 18:13:25 - mmengine - INFO - Epoch(train) [5][100/1879] lr: 2.0000e-02 eta: 1 day, 3:01:27 time: 1.0290 data_time: 0.0238 memory: 27035 grad_norm: 4.6013 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9920 loss: 1.9920 2022/08/08 18:13:46 - mmengine - INFO - Epoch(train) [5][120/1879] lr: 2.0000e-02 eta: 1 day, 3:00:42 time: 1.0295 data_time: 0.0228 memory: 27035 grad_norm: 4.4953 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1953 loss: 2.1953 2022/08/08 18:14:06 - mmengine - INFO - Epoch(train) [5][140/1879] lr: 2.0000e-02 eta: 1 day, 2:59:57 time: 1.0253 data_time: 0.0216 memory: 27035 grad_norm: 4.4888 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2594 loss: 2.2594 2022/08/08 18:14:27 - mmengine - INFO - Epoch(train) [5][160/1879] lr: 2.0000e-02 eta: 1 day, 2:59:13 time: 1.0321 data_time: 0.0231 memory: 27035 grad_norm: 4.5786 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9826 loss: 1.9826 2022/08/08 18:14:47 - mmengine - INFO - Epoch(train) [5][180/1879] lr: 2.0000e-02 eta: 1 day, 2:58:28 time: 1.0263 data_time: 0.0224 memory: 27035 grad_norm: 4.6764 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1276 loss: 2.1276 2022/08/08 18:15:08 - mmengine - INFO - Epoch(train) [5][200/1879] lr: 2.0000e-02 eta: 1 day, 2:57:44 time: 1.0286 data_time: 0.0235 memory: 27035 grad_norm: 4.6927 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4289 loss: 2.4289 2022/08/08 18:15:28 - mmengine - INFO - Epoch(train) [5][220/1879] lr: 2.0000e-02 eta: 1 day, 2:56:59 time: 1.0248 data_time: 0.0240 memory: 27035 grad_norm: 4.5993 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3885 loss: 2.3885 2022/08/08 18:15:49 - mmengine - INFO - Epoch(train) [5][240/1879] lr: 2.0000e-02 eta: 1 day, 2:56:15 time: 1.0261 data_time: 0.0227 memory: 27035 grad_norm: 4.4752 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.2518 loss: 2.2518 2022/08/08 18:16:09 - mmengine - INFO - Epoch(train) [5][260/1879] lr: 2.0000e-02 eta: 1 day, 2:55:30 time: 1.0236 data_time: 0.0224 memory: 27035 grad_norm: 4.3559 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4538 loss: 2.4538 2022/08/08 18:16:30 - mmengine - INFO - Epoch(train) [5][280/1879] lr: 2.0000e-02 eta: 1 day, 2:54:45 time: 1.0260 data_time: 0.0218 memory: 27035 grad_norm: 4.5839 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0923 loss: 2.0923 2022/08/08 18:16:50 - mmengine - INFO - Epoch(train) [5][300/1879] lr: 2.0000e-02 eta: 1 day, 2:54:01 time: 1.0265 data_time: 0.0221 memory: 27035 grad_norm: 4.4829 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0636 loss: 2.0636 2022/08/08 18:17:11 - mmengine - INFO - Epoch(train) [5][320/1879] lr: 2.0000e-02 eta: 1 day, 2:53:17 time: 1.0251 data_time: 0.0220 memory: 27035 grad_norm: 4.4194 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1300 loss: 2.1300 2022/08/08 18:17:32 - mmengine - INFO - Epoch(train) [5][340/1879] lr: 2.0000e-02 eta: 1 day, 2:52:38 time: 1.0494 data_time: 0.0227 memory: 27035 grad_norm: 4.4132 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1260 loss: 2.1260 2022/08/08 18:17:53 - mmengine - INFO - Epoch(train) [5][360/1879] lr: 2.0000e-02 eta: 1 day, 2:51:55 time: 1.0292 data_time: 0.0285 memory: 27035 grad_norm: 4.5081 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1443 loss: 2.1443 2022/08/08 18:18:13 - mmengine - INFO - Epoch(train) [5][380/1879] lr: 2.0000e-02 eta: 1 day, 2:51:11 time: 1.0270 data_time: 0.0231 memory: 27035 grad_norm: 4.4089 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1658 loss: 2.1658 2022/08/08 18:18:34 - mmengine - INFO - Epoch(train) [5][400/1879] lr: 2.0000e-02 eta: 1 day, 2:50:29 time: 1.0307 data_time: 0.0289 memory: 27035 grad_norm: 4.4277 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3426 loss: 2.3426 2022/08/08 18:18:54 - mmengine - INFO - Epoch(train) [5][420/1879] lr: 2.0000e-02 eta: 1 day, 2:49:46 time: 1.0285 data_time: 0.0234 memory: 27035 grad_norm: 4.5646 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2771 loss: 2.2771 2022/08/08 18:19:15 - mmengine - INFO - Epoch(train) [5][440/1879] lr: 2.0000e-02 eta: 1 day, 2:49:02 time: 1.0250 data_time: 0.0232 memory: 27035 grad_norm: 4.4341 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.3157 loss: 2.3157 2022/08/08 18:19:35 - mmengine - INFO - Epoch(train) [5][460/1879] lr: 2.0000e-02 eta: 1 day, 2:48:19 time: 1.0264 data_time: 0.0223 memory: 27035 grad_norm: 4.4040 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5125 loss: 2.5125 2022/08/08 18:19:56 - mmengine - INFO - Epoch(train) [5][480/1879] lr: 2.0000e-02 eta: 1 day, 2:47:35 time: 1.0242 data_time: 0.0229 memory: 27035 grad_norm: 4.4536 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1300 loss: 2.1300 2022/08/08 18:20:00 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 18:20:17 - mmengine - INFO - Epoch(train) [5][500/1879] lr: 2.0000e-02 eta: 1 day, 2:46:54 time: 1.0357 data_time: 0.0254 memory: 27035 grad_norm: 4.4512 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2347 loss: 2.2347 2022/08/08 18:20:37 - mmengine - INFO - Epoch(train) [5][520/1879] lr: 2.0000e-02 eta: 1 day, 2:46:13 time: 1.0317 data_time: 0.0235 memory: 27035 grad_norm: 4.3797 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0555 loss: 2.0555 2022/08/08 18:20:58 - mmengine - INFO - Epoch(train) [5][540/1879] lr: 2.0000e-02 eta: 1 day, 2:45:31 time: 1.0300 data_time: 0.0227 memory: 27035 grad_norm: 4.4505 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1729 loss: 2.1729 2022/08/08 18:21:18 - mmengine - INFO - Epoch(train) [5][560/1879] lr: 2.0000e-02 eta: 1 day, 2:44:49 time: 1.0302 data_time: 0.0233 memory: 27035 grad_norm: 4.3643 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2585 loss: 2.2585 2022/08/08 18:21:39 - mmengine - INFO - Epoch(train) [5][580/1879] lr: 2.0000e-02 eta: 1 day, 2:44:06 time: 1.0266 data_time: 0.0231 memory: 27035 grad_norm: 4.5708 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.1095 loss: 2.1095 2022/08/08 18:21:59 - mmengine - INFO - Epoch(train) [5][600/1879] lr: 2.0000e-02 eta: 1 day, 2:43:24 time: 1.0270 data_time: 0.0228 memory: 27035 grad_norm: 4.2431 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2406 loss: 2.2406 2022/08/08 18:22:20 - mmengine - INFO - Epoch(train) [5][620/1879] lr: 2.0000e-02 eta: 1 day, 2:42:41 time: 1.0252 data_time: 0.0231 memory: 27035 grad_norm: 4.3401 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0564 loss: 2.0564 2022/08/08 18:22:40 - mmengine - INFO - Epoch(train) [5][640/1879] lr: 2.0000e-02 eta: 1 day, 2:41:59 time: 1.0249 data_time: 0.0226 memory: 27035 grad_norm: 4.2331 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3214 loss: 2.3214 2022/08/08 18:23:01 - mmengine - INFO - Epoch(train) [5][660/1879] lr: 2.0000e-02 eta: 1 day, 2:41:17 time: 1.0260 data_time: 0.0220 memory: 27035 grad_norm: 4.3237 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2468 loss: 2.2468 2022/08/08 18:23:22 - mmengine - INFO - Epoch(train) [5][680/1879] lr: 2.0000e-02 eta: 1 day, 2:40:35 time: 1.0303 data_time: 0.0225 memory: 27035 grad_norm: 4.4238 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1202 loss: 2.1202 2022/08/08 18:23:42 - mmengine - INFO - Epoch(train) [5][700/1879] lr: 2.0000e-02 eta: 1 day, 2:39:53 time: 1.0256 data_time: 0.0230 memory: 27035 grad_norm: 4.2567 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9476 loss: 1.9476 2022/08/08 18:24:03 - mmengine - INFO - Epoch(train) [5][720/1879] lr: 2.0000e-02 eta: 1 day, 2:39:12 time: 1.0275 data_time: 0.0218 memory: 27035 grad_norm: 4.3705 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2820 loss: 2.2820 2022/08/08 18:24:23 - mmengine - INFO - Epoch(train) [5][740/1879] lr: 2.0000e-02 eta: 1 day, 2:38:30 time: 1.0270 data_time: 0.0227 memory: 27035 grad_norm: 4.3958 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2055 loss: 2.2055 2022/08/08 18:24:44 - mmengine - INFO - Epoch(train) [5][760/1879] lr: 2.0000e-02 eta: 1 day, 2:37:49 time: 1.0296 data_time: 0.0222 memory: 27035 grad_norm: 4.2825 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5051 loss: 2.5051 2022/08/08 18:25:04 - mmengine - INFO - Epoch(train) [5][780/1879] lr: 2.0000e-02 eta: 1 day, 2:37:08 time: 1.0276 data_time: 0.0224 memory: 27035 grad_norm: 4.2917 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2473 loss: 2.2473 2022/08/08 18:25:27 - mmengine - INFO - Epoch(train) [5][800/1879] lr: 2.0000e-02 eta: 1 day, 2:36:44 time: 1.1136 data_time: 0.0999 memory: 27035 grad_norm: 4.3863 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.2475 loss: 2.2475 2022/08/08 18:25:47 - mmengine - INFO - Epoch(train) [5][820/1879] lr: 2.0000e-02 eta: 1 day, 2:36:03 time: 1.0269 data_time: 0.0224 memory: 27035 grad_norm: 4.3713 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2473 loss: 2.2473 2022/08/08 18:26:08 - mmengine - INFO - Epoch(train) [5][840/1879] lr: 2.0000e-02 eta: 1 day, 2:35:22 time: 1.0270 data_time: 0.0227 memory: 27035 grad_norm: 4.3218 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.2750 loss: 2.2750 2022/08/08 18:26:28 - mmengine - INFO - Epoch(train) [5][860/1879] lr: 2.0000e-02 eta: 1 day, 2:34:41 time: 1.0262 data_time: 0.0227 memory: 27035 grad_norm: 4.2525 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1642 loss: 2.1642 2022/08/08 18:26:49 - mmengine - INFO - Epoch(train) [5][880/1879] lr: 2.0000e-02 eta: 1 day, 2:34:01 time: 1.0300 data_time: 0.0228 memory: 27035 grad_norm: 4.3302 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0985 loss: 2.0985 2022/08/08 18:27:09 - mmengine - INFO - Epoch(train) [5][900/1879] lr: 2.0000e-02 eta: 1 day, 2:33:20 time: 1.0270 data_time: 0.0231 memory: 27035 grad_norm: 4.2577 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0581 loss: 2.0581 2022/08/08 18:27:30 - mmengine - INFO - Epoch(train) [5][920/1879] lr: 2.0000e-02 eta: 1 day, 2:32:41 time: 1.0348 data_time: 0.0228 memory: 27035 grad_norm: 4.2689 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.2773 loss: 2.2773 2022/08/08 18:27:51 - mmengine - INFO - Epoch(train) [5][940/1879] lr: 2.0000e-02 eta: 1 day, 2:32:00 time: 1.0280 data_time: 0.0243 memory: 27035 grad_norm: 4.2429 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1811 loss: 2.1811 2022/08/08 18:28:11 - mmengine - INFO - Epoch(train) [5][960/1879] lr: 2.0000e-02 eta: 1 day, 2:31:20 time: 1.0311 data_time: 0.0222 memory: 27035 grad_norm: 4.3285 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0436 loss: 2.0436 2022/08/08 18:28:32 - mmengine - INFO - Epoch(train) [5][980/1879] lr: 2.0000e-02 eta: 1 day, 2:30:40 time: 1.0253 data_time: 0.0229 memory: 27035 grad_norm: 4.2947 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.1624 loss: 2.1624 2022/08/08 18:28:52 - mmengine - INFO - Epoch(train) [5][1000/1879] lr: 2.0000e-02 eta: 1 day, 2:30:00 time: 1.0289 data_time: 0.0225 memory: 27035 grad_norm: 4.3238 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0846 loss: 2.0846 2022/08/08 18:29:13 - mmengine - INFO - Epoch(train) [5][1020/1879] lr: 2.0000e-02 eta: 1 day, 2:29:20 time: 1.0291 data_time: 0.0221 memory: 27035 grad_norm: 4.1823 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2578 loss: 2.2578 2022/08/08 18:29:33 - mmengine - INFO - Epoch(train) [5][1040/1879] lr: 2.0000e-02 eta: 1 day, 2:28:40 time: 1.0291 data_time: 0.0231 memory: 27035 grad_norm: 4.2360 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3376 loss: 2.3376 2022/08/08 18:29:54 - mmengine - INFO - Epoch(train) [5][1060/1879] lr: 2.0000e-02 eta: 1 day, 2:28:00 time: 1.0278 data_time: 0.0220 memory: 27035 grad_norm: 4.2796 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0475 loss: 2.0475 2022/08/08 18:30:15 - mmengine - INFO - Epoch(train) [5][1080/1879] lr: 2.0000e-02 eta: 1 day, 2:27:21 time: 1.0293 data_time: 0.0227 memory: 27035 grad_norm: 4.3808 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1831 loss: 2.1831 2022/08/08 18:30:35 - mmengine - INFO - Epoch(train) [5][1100/1879] lr: 2.0000e-02 eta: 1 day, 2:26:41 time: 1.0282 data_time: 0.0220 memory: 27035 grad_norm: 4.1741 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9249 loss: 1.9249 2022/08/08 18:30:56 - mmengine - INFO - Epoch(train) [5][1120/1879] lr: 2.0000e-02 eta: 1 day, 2:26:01 time: 1.0277 data_time: 0.0235 memory: 27035 grad_norm: 4.2805 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2223 loss: 2.2223 2022/08/08 18:31:16 - mmengine - INFO - Epoch(train) [5][1140/1879] lr: 2.0000e-02 eta: 1 day, 2:25:22 time: 1.0306 data_time: 0.0224 memory: 27035 grad_norm: 4.2284 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3148 loss: 2.3148 2022/08/08 18:31:37 - mmengine - INFO - Epoch(train) [5][1160/1879] lr: 2.0000e-02 eta: 1 day, 2:24:42 time: 1.0262 data_time: 0.0221 memory: 27035 grad_norm: 4.2779 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2156 loss: 2.2156 2022/08/08 18:31:57 - mmengine - INFO - Epoch(train) [5][1180/1879] lr: 2.0000e-02 eta: 1 day, 2:24:03 time: 1.0276 data_time: 0.0225 memory: 27035 grad_norm: 4.1701 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1214 loss: 2.1214 2022/08/08 18:32:18 - mmengine - INFO - Epoch(train) [5][1200/1879] lr: 2.0000e-02 eta: 1 day, 2:23:23 time: 1.0254 data_time: 0.0228 memory: 27035 grad_norm: 4.2685 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2322 loss: 2.2322 2022/08/08 18:32:39 - mmengine - INFO - Epoch(train) [5][1220/1879] lr: 2.0000e-02 eta: 1 day, 2:22:44 time: 1.0301 data_time: 0.0235 memory: 27035 grad_norm: 4.2744 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1375 loss: 2.1375 2022/08/08 18:32:59 - mmengine - INFO - Epoch(train) [5][1240/1879] lr: 2.0000e-02 eta: 1 day, 2:22:05 time: 1.0271 data_time: 0.0226 memory: 27035 grad_norm: 4.2984 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9846 loss: 1.9846 2022/08/08 18:33:20 - mmengine - INFO - Epoch(train) [5][1260/1879] lr: 2.0000e-02 eta: 1 day, 2:21:26 time: 1.0282 data_time: 0.0227 memory: 27035 grad_norm: 4.2973 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9850 loss: 1.9850 2022/08/08 18:33:40 - mmengine - INFO - Epoch(train) [5][1280/1879] lr: 2.0000e-02 eta: 1 day, 2:20:47 time: 1.0263 data_time: 0.0225 memory: 27035 grad_norm: 4.2204 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.3900 loss: 2.3900 2022/08/08 18:34:01 - mmengine - INFO - Epoch(train) [5][1300/1879] lr: 2.0000e-02 eta: 1 day, 2:20:09 time: 1.0321 data_time: 0.0232 memory: 27035 grad_norm: 4.1324 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2011 loss: 2.2011 2022/08/08 18:34:21 - mmengine - INFO - Epoch(train) [5][1320/1879] lr: 2.0000e-02 eta: 1 day, 2:19:30 time: 1.0267 data_time: 0.0225 memory: 27035 grad_norm: 4.0809 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0735 loss: 2.0735 2022/08/08 18:34:42 - mmengine - INFO - Epoch(train) [5][1340/1879] lr: 2.0000e-02 eta: 1 day, 2:18:51 time: 1.0281 data_time: 0.0228 memory: 27035 grad_norm: 4.3107 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1858 loss: 2.1858 2022/08/08 18:35:02 - mmengine - INFO - Epoch(train) [5][1360/1879] lr: 2.0000e-02 eta: 1 day, 2:18:12 time: 1.0259 data_time: 0.0225 memory: 27035 grad_norm: 4.0799 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0968 loss: 2.0968 2022/08/08 18:35:24 - mmengine - INFO - Epoch(train) [5][1380/1879] lr: 2.0000e-02 eta: 1 day, 2:17:44 time: 1.0820 data_time: 0.0741 memory: 27035 grad_norm: 4.1980 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2887 loss: 2.2887 2022/08/08 18:35:45 - mmengine - INFO - Epoch(train) [5][1400/1879] lr: 2.0000e-02 eta: 1 day, 2:17:06 time: 1.0324 data_time: 0.0270 memory: 27035 grad_norm: 4.2663 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0369 loss: 2.0369 2022/08/08 18:36:05 - mmengine - INFO - Epoch(train) [5][1420/1879] lr: 2.0000e-02 eta: 1 day, 2:16:28 time: 1.0280 data_time: 0.0220 memory: 27035 grad_norm: 4.3499 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0371 loss: 2.0371 2022/08/08 18:36:26 - mmengine - INFO - Epoch(train) [5][1440/1879] lr: 2.0000e-02 eta: 1 day, 2:15:50 time: 1.0305 data_time: 0.0223 memory: 27035 grad_norm: 4.2255 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9879 loss: 1.9879 2022/08/08 18:36:46 - mmengine - INFO - Epoch(train) [5][1460/1879] lr: 2.0000e-02 eta: 1 day, 2:15:12 time: 1.0291 data_time: 0.0233 memory: 27035 grad_norm: 4.2062 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1664 loss: 2.1664 2022/08/08 18:37:07 - mmengine - INFO - Epoch(train) [5][1480/1879] lr: 2.0000e-02 eta: 1 day, 2:14:34 time: 1.0292 data_time: 0.0231 memory: 27035 grad_norm: 4.2648 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9714 loss: 1.9714 2022/08/08 18:37:11 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 18:37:29 - mmengine - INFO - Epoch(train) [5][1500/1879] lr: 2.0000e-02 eta: 1 day, 2:14:05 time: 1.0743 data_time: 0.0220 memory: 27035 grad_norm: 4.0980 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2190 loss: 2.2190 2022/08/08 18:37:49 - mmengine - INFO - Epoch(train) [5][1520/1879] lr: 2.0000e-02 eta: 1 day, 2:13:27 time: 1.0281 data_time: 0.0230 memory: 27035 grad_norm: 4.3299 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1651 loss: 2.1651 2022/08/08 18:38:10 - mmengine - INFO - Epoch(train) [5][1540/1879] lr: 2.0000e-02 eta: 1 day, 2:12:48 time: 1.0255 data_time: 0.0226 memory: 27035 grad_norm: 4.1988 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1010 loss: 2.1010 2022/08/08 18:38:30 - mmengine - INFO - Epoch(train) [5][1560/1879] lr: 2.0000e-02 eta: 1 day, 2:12:10 time: 1.0286 data_time: 0.0226 memory: 27035 grad_norm: 4.1617 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0184 loss: 2.0184 2022/08/08 18:38:51 - mmengine - INFO - Epoch(train) [5][1580/1879] lr: 2.0000e-02 eta: 1 day, 2:11:32 time: 1.0253 data_time: 0.0229 memory: 27035 grad_norm: 4.1207 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1725 loss: 2.1725 2022/08/08 18:39:11 - mmengine - INFO - Epoch(train) [5][1600/1879] lr: 2.0000e-02 eta: 1 day, 2:10:55 time: 1.0286 data_time: 0.0231 memory: 27035 grad_norm: 4.1115 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2339 loss: 2.2339 2022/08/08 18:39:32 - mmengine - INFO - Epoch(train) [5][1620/1879] lr: 2.0000e-02 eta: 1 day, 2:10:19 time: 1.0382 data_time: 0.0302 memory: 27035 grad_norm: 4.2511 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0849 loss: 2.0849 2022/08/08 18:39:53 - mmengine - INFO - Epoch(train) [5][1640/1879] lr: 2.0000e-02 eta: 1 day, 2:09:42 time: 1.0322 data_time: 0.0232 memory: 27035 grad_norm: 4.1089 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1766 loss: 2.1766 2022/08/08 18:40:13 - mmengine - INFO - Epoch(train) [5][1660/1879] lr: 2.0000e-02 eta: 1 day, 2:09:06 time: 1.0365 data_time: 0.0261 memory: 27035 grad_norm: 4.1927 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1811 loss: 2.1811 2022/08/08 18:40:34 - mmengine - INFO - Epoch(train) [5][1680/1879] lr: 2.0000e-02 eta: 1 day, 2:08:29 time: 1.0318 data_time: 0.0226 memory: 27035 grad_norm: 4.0953 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.1568 loss: 2.1568 2022/08/08 18:40:55 - mmengine - INFO - Epoch(train) [5][1700/1879] lr: 2.0000e-02 eta: 1 day, 2:07:53 time: 1.0321 data_time: 0.0305 memory: 27035 grad_norm: 4.2490 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1464 loss: 2.1464 2022/08/08 18:41:15 - mmengine - INFO - Epoch(train) [5][1720/1879] lr: 2.0000e-02 eta: 1 day, 2:07:15 time: 1.0269 data_time: 0.0220 memory: 27035 grad_norm: 4.1639 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1718 loss: 2.1718 2022/08/08 18:41:36 - mmengine - INFO - Epoch(train) [5][1740/1879] lr: 2.0000e-02 eta: 1 day, 2:06:38 time: 1.0258 data_time: 0.0233 memory: 27035 grad_norm: 4.2037 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0552 loss: 2.0552 2022/08/08 18:41:56 - mmengine - INFO - Epoch(train) [5][1760/1879] lr: 2.0000e-02 eta: 1 day, 2:06:00 time: 1.0279 data_time: 0.0231 memory: 27035 grad_norm: 4.0854 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1025 loss: 2.1025 2022/08/08 18:42:17 - mmengine - INFO - Epoch(train) [5][1780/1879] lr: 2.0000e-02 eta: 1 day, 2:05:24 time: 1.0304 data_time: 0.0286 memory: 27035 grad_norm: 4.0540 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0268 loss: 2.0268 2022/08/08 18:42:38 - mmengine - INFO - Epoch(train) [5][1800/1879] lr: 2.0000e-02 eta: 1 day, 2:04:47 time: 1.0296 data_time: 0.0237 memory: 27035 grad_norm: 4.1934 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9556 loss: 1.9556 2022/08/08 18:42:58 - mmengine - INFO - Epoch(train) [5][1820/1879] lr: 2.0000e-02 eta: 1 day, 2:04:10 time: 1.0280 data_time: 0.0238 memory: 27035 grad_norm: 4.1027 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9860 loss: 1.9860 2022/08/08 18:43:19 - mmengine - INFO - Epoch(train) [5][1840/1879] lr: 2.0000e-02 eta: 1 day, 2:03:33 time: 1.0288 data_time: 0.0232 memory: 27035 grad_norm: 4.1210 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0400 loss: 2.0400 2022/08/08 18:43:39 - mmengine - INFO - Epoch(train) [5][1860/1879] lr: 2.0000e-02 eta: 1 day, 2:02:56 time: 1.0250 data_time: 0.0237 memory: 27035 grad_norm: 4.1798 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8322 loss: 1.8322 2022/08/08 18:43:59 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 18:43:59 - mmengine - INFO - Epoch(train) [5][1879/1879] lr: 2.0000e-02 eta: 1 day, 2:02:56 time: 1.0224 data_time: 0.0228 memory: 27035 grad_norm: 4.3144 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.3172 loss: 2.3172 2022/08/08 18:44:14 - mmengine - INFO - Epoch(val) [5][20/155] eta: 0:01:42 time: 0.7604 data_time: 0.4878 memory: 3270 2022/08/08 18:44:24 - mmengine - INFO - Epoch(val) [5][40/155] eta: 0:00:59 time: 0.5213 data_time: 0.2498 memory: 3270 2022/08/08 18:44:38 - mmengine - INFO - Epoch(val) [5][60/155] eta: 0:01:02 time: 0.6615 data_time: 0.3900 memory: 3270 2022/08/08 18:44:48 - mmengine - INFO - Epoch(val) [5][80/155] eta: 0:00:40 time: 0.5353 data_time: 0.2649 memory: 3270 2022/08/08 18:45:01 - mmengine - INFO - Epoch(val) [5][100/155] eta: 0:00:35 time: 0.6431 data_time: 0.3725 memory: 3270 2022/08/08 18:45:14 - mmengine - INFO - Epoch(val) [5][120/155] eta: 0:00:23 time: 0.6583 data_time: 0.3849 memory: 3270 2022/08/08 18:45:28 - mmengine - INFO - Epoch(val) [5][140/155] eta: 0:00:10 time: 0.6987 data_time: 0.4279 memory: 3270 2022/08/08 18:45:36 - mmengine - INFO - Epoch(val) [5][155/155] acc/top1: 0.4970 acc/top5: 0.7643 acc/mean1: 0.4967 2022/08/08 18:46:02 - mmengine - INFO - Epoch(train) [6][20/1879] lr: 2.0000e-02 eta: 1 day, 1:59:34 time: 1.2797 data_time: 0.2370 memory: 27035 grad_norm: 4.0225 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0124 loss: 2.0124 2022/08/08 18:46:23 - mmengine - INFO - Epoch(train) [6][40/1879] lr: 2.0000e-02 eta: 1 day, 1:58:58 time: 1.0289 data_time: 0.0234 memory: 27035 grad_norm: 4.0996 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2675 loss: 2.2675 2022/08/08 18:46:43 - mmengine - INFO - Epoch(train) [6][60/1879] lr: 2.0000e-02 eta: 1 day, 1:58:22 time: 1.0302 data_time: 0.0233 memory: 27035 grad_norm: 4.1058 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8720 loss: 1.8720 2022/08/08 18:47:04 - mmengine - INFO - Epoch(train) [6][80/1879] lr: 2.0000e-02 eta: 1 day, 1:57:47 time: 1.0311 data_time: 0.0224 memory: 27035 grad_norm: 4.1033 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.2759 loss: 2.2759 2022/08/08 18:47:25 - mmengine - INFO - Epoch(train) [6][100/1879] lr: 2.0000e-02 eta: 1 day, 1:57:12 time: 1.0365 data_time: 0.0321 memory: 27035 grad_norm: 4.0733 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0289 loss: 2.0289 2022/08/08 18:47:45 - mmengine - INFO - Epoch(train) [6][120/1879] lr: 2.0000e-02 eta: 1 day, 1:56:37 time: 1.0341 data_time: 0.0222 memory: 27035 grad_norm: 4.2313 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1663 loss: 2.1663 2022/08/08 18:48:06 - mmengine - INFO - Epoch(train) [6][140/1879] lr: 2.0000e-02 eta: 1 day, 1:56:02 time: 1.0285 data_time: 0.0224 memory: 27035 grad_norm: 4.0833 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8879 loss: 1.8879 2022/08/08 18:48:26 - mmengine - INFO - Epoch(train) [6][160/1879] lr: 2.0000e-02 eta: 1 day, 1:55:25 time: 1.0272 data_time: 0.0225 memory: 27035 grad_norm: 4.2242 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9431 loss: 1.9431 2022/08/08 18:48:47 - mmengine - INFO - Epoch(train) [6][180/1879] lr: 2.0000e-02 eta: 1 day, 1:54:51 time: 1.0367 data_time: 0.0281 memory: 27035 grad_norm: 4.1243 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9522 loss: 1.9522 2022/08/08 18:49:08 - mmengine - INFO - Epoch(train) [6][200/1879] lr: 2.0000e-02 eta: 1 day, 1:54:15 time: 1.0255 data_time: 0.0230 memory: 27035 grad_norm: 4.0851 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0900 loss: 2.0900 2022/08/08 18:49:28 - mmengine - INFO - Epoch(train) [6][220/1879] lr: 2.0000e-02 eta: 1 day, 1:53:39 time: 1.0281 data_time: 0.0226 memory: 27035 grad_norm: 4.1563 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0204 loss: 2.0204 2022/08/08 18:49:49 - mmengine - INFO - Epoch(train) [6][240/1879] lr: 2.0000e-02 eta: 1 day, 1:53:03 time: 1.0244 data_time: 0.0236 memory: 27035 grad_norm: 4.1862 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9519 loss: 1.9519 2022/08/08 18:50:09 - mmengine - INFO - Epoch(train) [6][260/1879] lr: 2.0000e-02 eta: 1 day, 1:52:28 time: 1.0326 data_time: 0.0238 memory: 27035 grad_norm: 4.0768 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9560 loss: 1.9560 2022/08/08 18:50:30 - mmengine - INFO - Epoch(train) [6][280/1879] lr: 2.0000e-02 eta: 1 day, 1:51:54 time: 1.0327 data_time: 0.0236 memory: 27035 grad_norm: 4.1755 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0509 loss: 2.0509 2022/08/08 18:50:51 - mmengine - INFO - Epoch(train) [6][300/1879] lr: 2.0000e-02 eta: 1 day, 1:51:18 time: 1.0265 data_time: 0.0233 memory: 27035 grad_norm: 3.9850 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9062 loss: 1.9062 2022/08/08 18:51:11 - mmengine - INFO - Epoch(train) [6][320/1879] lr: 2.0000e-02 eta: 1 day, 1:50:42 time: 1.0259 data_time: 0.0220 memory: 27035 grad_norm: 4.1477 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1033 loss: 2.1033 2022/08/08 18:51:32 - mmengine - INFO - Epoch(train) [6][340/1879] lr: 2.0000e-02 eta: 1 day, 1:50:07 time: 1.0283 data_time: 0.0231 memory: 27035 grad_norm: 4.1411 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.0744 loss: 2.0744 2022/08/08 18:51:52 - mmengine - INFO - Epoch(train) [6][360/1879] lr: 2.0000e-02 eta: 1 day, 1:49:31 time: 1.0262 data_time: 0.0227 memory: 27035 grad_norm: 4.0324 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8600 loss: 1.8600 2022/08/08 18:52:13 - mmengine - INFO - Epoch(train) [6][380/1879] lr: 2.0000e-02 eta: 1 day, 1:48:56 time: 1.0287 data_time: 0.0229 memory: 27035 grad_norm: 4.1021 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9978 loss: 1.9978 2022/08/08 18:52:33 - mmengine - INFO - Epoch(train) [6][400/1879] lr: 2.0000e-02 eta: 1 day, 1:48:21 time: 1.0284 data_time: 0.0223 memory: 27035 grad_norm: 4.0825 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9521 loss: 1.9521 2022/08/08 18:52:54 - mmengine - INFO - Epoch(train) [6][420/1879] lr: 2.0000e-02 eta: 1 day, 1:47:46 time: 1.0284 data_time: 0.0233 memory: 27035 grad_norm: 4.0314 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9727 loss: 1.9727 2022/08/08 18:53:14 - mmengine - INFO - Epoch(train) [6][440/1879] lr: 2.0000e-02 eta: 1 day, 1:47:11 time: 1.0271 data_time: 0.0226 memory: 27035 grad_norm: 4.0926 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9669 loss: 1.9669 2022/08/08 18:53:35 - mmengine - INFO - Epoch(train) [6][460/1879] lr: 2.0000e-02 eta: 1 day, 1:46:36 time: 1.0276 data_time: 0.0229 memory: 27035 grad_norm: 4.0582 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8501 loss: 1.8501 2022/08/08 18:53:56 - mmengine - INFO - Epoch(train) [6][480/1879] lr: 2.0000e-02 eta: 1 day, 1:46:01 time: 1.0276 data_time: 0.0235 memory: 27035 grad_norm: 4.0739 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0446 loss: 2.0446 2022/08/08 18:54:16 - mmengine - INFO - Epoch(train) [6][500/1879] lr: 2.0000e-02 eta: 1 day, 1:45:26 time: 1.0301 data_time: 0.0232 memory: 27035 grad_norm: 4.2281 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9749 loss: 1.9749 2022/08/08 18:54:37 - mmengine - INFO - Epoch(train) [6][520/1879] lr: 2.0000e-02 eta: 1 day, 1:44:51 time: 1.0272 data_time: 0.0232 memory: 27035 grad_norm: 4.0460 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1681 loss: 2.1681 2022/08/08 18:54:57 - mmengine - INFO - Epoch(train) [6][540/1879] lr: 2.0000e-02 eta: 1 day, 1:44:16 time: 1.0257 data_time: 0.0230 memory: 27035 grad_norm: 3.9784 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1327 loss: 2.1327 2022/08/08 18:55:19 - mmengine - INFO - Epoch(train) [6][560/1879] lr: 2.0000e-02 eta: 1 day, 1:43:47 time: 1.0635 data_time: 0.0290 memory: 27035 grad_norm: 4.0893 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8932 loss: 1.8932 2022/08/08 18:55:39 - mmengine - INFO - Epoch(train) [6][580/1879] lr: 2.0000e-02 eta: 1 day, 1:43:14 time: 1.0348 data_time: 0.0284 memory: 27035 grad_norm: 4.0773 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0012 loss: 2.0012 2022/08/08 18:56:00 - mmengine - INFO - Epoch(train) [6][600/1879] lr: 2.0000e-02 eta: 1 day, 1:42:40 time: 1.0300 data_time: 0.0232 memory: 27035 grad_norm: 4.1220 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0587 loss: 2.0587 2022/08/08 18:56:05 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 18:56:20 - mmengine - INFO - Epoch(train) [6][620/1879] lr: 2.0000e-02 eta: 1 day, 1:42:05 time: 1.0257 data_time: 0.0229 memory: 27035 grad_norm: 3.9889 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0208 loss: 2.0208 2022/08/08 18:56:41 - mmengine - INFO - Epoch(train) [6][640/1879] lr: 2.0000e-02 eta: 1 day, 1:41:30 time: 1.0282 data_time: 0.0218 memory: 27035 grad_norm: 4.0343 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0131 loss: 2.0131 2022/08/08 18:57:01 - mmengine - INFO - Epoch(train) [6][660/1879] lr: 2.0000e-02 eta: 1 day, 1:40:56 time: 1.0299 data_time: 0.0245 memory: 27035 grad_norm: 4.1773 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9174 loss: 1.9174 2022/08/08 18:57:23 - mmengine - INFO - Epoch(train) [6][680/1879] lr: 2.0000e-02 eta: 1 day, 1:40:26 time: 1.0556 data_time: 0.0212 memory: 27035 grad_norm: 4.0860 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.9717 loss: 1.9717 2022/08/08 18:57:43 - mmengine - INFO - Epoch(train) [6][700/1879] lr: 2.0000e-02 eta: 1 day, 1:39:52 time: 1.0279 data_time: 0.0226 memory: 27035 grad_norm: 4.0128 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2622 loss: 2.2622 2022/08/08 18:58:04 - mmengine - INFO - Epoch(train) [6][720/1879] lr: 2.0000e-02 eta: 1 day, 1:39:17 time: 1.0256 data_time: 0.0226 memory: 27035 grad_norm: 4.0742 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8785 loss: 1.8785 2022/08/08 18:58:24 - mmengine - INFO - Epoch(train) [6][740/1879] lr: 2.0000e-02 eta: 1 day, 1:38:43 time: 1.0284 data_time: 0.0235 memory: 27035 grad_norm: 4.0835 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0736 loss: 2.0736 2022/08/08 18:58:45 - mmengine - INFO - Epoch(train) [6][760/1879] lr: 2.0000e-02 eta: 1 day, 1:38:09 time: 1.0290 data_time: 0.0236 memory: 27035 grad_norm: 4.0287 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9356 loss: 1.9356 2022/08/08 18:59:05 - mmengine - INFO - Epoch(train) [6][780/1879] lr: 2.0000e-02 eta: 1 day, 1:37:35 time: 1.0285 data_time: 0.0230 memory: 27035 grad_norm: 3.9686 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1115 loss: 2.1115 2022/08/08 18:59:26 - mmengine - INFO - Epoch(train) [6][800/1879] lr: 2.0000e-02 eta: 1 day, 1:37:02 time: 1.0346 data_time: 0.0266 memory: 27035 grad_norm: 4.0587 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2066 loss: 2.2066 2022/08/08 18:59:47 - mmengine - INFO - Epoch(train) [6][820/1879] lr: 2.0000e-02 eta: 1 day, 1:36:28 time: 1.0266 data_time: 0.0231 memory: 27035 grad_norm: 3.9447 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1691 loss: 2.1691 2022/08/08 19:00:07 - mmengine - INFO - Epoch(train) [6][840/1879] lr: 2.0000e-02 eta: 1 day, 1:35:55 time: 1.0308 data_time: 0.0240 memory: 27035 grad_norm: 3.9655 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9295 loss: 1.9295 2022/08/08 19:00:29 - mmengine - INFO - Epoch(train) [6][860/1879] lr: 2.0000e-02 eta: 1 day, 1:35:29 time: 1.0772 data_time: 0.0691 memory: 27035 grad_norm: 4.0245 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1796 loss: 2.1796 2022/08/08 19:00:49 - mmengine - INFO - Epoch(train) [6][880/1879] lr: 2.0000e-02 eta: 1 day, 1:34:55 time: 1.0314 data_time: 0.0235 memory: 27035 grad_norm: 3.9571 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9865 loss: 1.9865 2022/08/08 19:01:10 - mmengine - INFO - Epoch(train) [6][900/1879] lr: 2.0000e-02 eta: 1 day, 1:34:21 time: 1.0269 data_time: 0.0229 memory: 27035 grad_norm: 4.1039 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0639 loss: 2.0639 2022/08/08 19:01:30 - mmengine - INFO - Epoch(train) [6][920/1879] lr: 2.0000e-02 eta: 1 day, 1:33:48 time: 1.0284 data_time: 0.0227 memory: 27035 grad_norm: 4.0765 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9712 loss: 1.9712 2022/08/08 19:01:51 - mmengine - INFO - Epoch(train) [6][940/1879] lr: 2.0000e-02 eta: 1 day, 1:33:15 time: 1.0349 data_time: 0.0232 memory: 27035 grad_norm: 3.9632 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.0094 loss: 2.0094 2022/08/08 19:02:12 - mmengine - INFO - Epoch(train) [6][960/1879] lr: 2.0000e-02 eta: 1 day, 1:32:42 time: 1.0317 data_time: 0.0239 memory: 27035 grad_norm: 4.0972 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0998 loss: 2.0998 2022/08/08 19:02:32 - mmengine - INFO - Epoch(train) [6][980/1879] lr: 2.0000e-02 eta: 1 day, 1:32:09 time: 1.0291 data_time: 0.0230 memory: 27035 grad_norm: 4.0527 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9594 loss: 1.9594 2022/08/08 19:02:53 - mmengine - INFO - Epoch(train) [6][1000/1879] lr: 2.0000e-02 eta: 1 day, 1:31:35 time: 1.0272 data_time: 0.0226 memory: 27035 grad_norm: 4.1369 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9594 loss: 1.9594 2022/08/08 19:03:14 - mmengine - INFO - Epoch(train) [6][1020/1879] lr: 2.0000e-02 eta: 1 day, 1:31:02 time: 1.0302 data_time: 0.0232 memory: 27035 grad_norm: 3.9258 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9580 loss: 1.9580 2022/08/08 19:03:34 - mmengine - INFO - Epoch(train) [6][1040/1879] lr: 2.0000e-02 eta: 1 day, 1:30:28 time: 1.0273 data_time: 0.0225 memory: 27035 grad_norm: 3.9981 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0138 loss: 2.0138 2022/08/08 19:03:55 - mmengine - INFO - Epoch(train) [6][1060/1879] lr: 2.0000e-02 eta: 1 day, 1:29:56 time: 1.0345 data_time: 0.0227 memory: 27035 grad_norm: 4.0649 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0738 loss: 2.0738 2022/08/08 19:04:15 - mmengine - INFO - Epoch(train) [6][1080/1879] lr: 2.0000e-02 eta: 1 day, 1:29:22 time: 1.0254 data_time: 0.0222 memory: 27035 grad_norm: 3.9897 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8893 loss: 1.8893 2022/08/08 19:04:36 - mmengine - INFO - Epoch(train) [6][1100/1879] lr: 2.0000e-02 eta: 1 day, 1:28:49 time: 1.0284 data_time: 0.0226 memory: 27035 grad_norm: 4.0465 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9990 loss: 1.9990 2022/08/08 19:04:56 - mmengine - INFO - Epoch(train) [6][1120/1879] lr: 2.0000e-02 eta: 1 day, 1:28:15 time: 1.0270 data_time: 0.0229 memory: 27035 grad_norm: 4.0491 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9360 loss: 1.9360 2022/08/08 19:05:17 - mmengine - INFO - Epoch(train) [6][1140/1879] lr: 2.0000e-02 eta: 1 day, 1:27:46 time: 1.0505 data_time: 0.0274 memory: 27035 grad_norm: 3.9085 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8936 loss: 1.8936 2022/08/08 19:05:38 - mmengine - INFO - Epoch(train) [6][1160/1879] lr: 2.0000e-02 eta: 1 day, 1:27:15 time: 1.0453 data_time: 0.0391 memory: 27035 grad_norm: 4.0174 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0865 loss: 2.0865 2022/08/08 19:05:59 - mmengine - INFO - Epoch(train) [6][1180/1879] lr: 2.0000e-02 eta: 1 day, 1:26:42 time: 1.0293 data_time: 0.0237 memory: 27035 grad_norm: 3.9041 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8391 loss: 1.8391 2022/08/08 19:06:19 - mmengine - INFO - Epoch(train) [6][1200/1879] lr: 2.0000e-02 eta: 1 day, 1:26:09 time: 1.0285 data_time: 0.0214 memory: 27035 grad_norm: 4.0665 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0002 loss: 2.0002 2022/08/08 19:06:40 - mmengine - INFO - Epoch(train) [6][1220/1879] lr: 2.0000e-02 eta: 1 day, 1:25:37 time: 1.0323 data_time: 0.0231 memory: 27035 grad_norm: 4.0337 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0545 loss: 2.0545 2022/08/08 19:07:01 - mmengine - INFO - Epoch(train) [6][1240/1879] lr: 2.0000e-02 eta: 1 day, 1:25:04 time: 1.0262 data_time: 0.0228 memory: 27035 grad_norm: 4.1246 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9265 loss: 1.9265 2022/08/08 19:07:22 - mmengine - INFO - Epoch(train) [6][1260/1879] lr: 2.0000e-02 eta: 1 day, 1:24:33 time: 1.0442 data_time: 0.0353 memory: 27035 grad_norm: 4.0593 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9394 loss: 1.9394 2022/08/08 19:07:42 - mmengine - INFO - Epoch(train) [6][1280/1879] lr: 2.0000e-02 eta: 1 day, 1:24:01 time: 1.0311 data_time: 0.0240 memory: 27035 grad_norm: 3.7852 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9649 loss: 1.9649 2022/08/08 19:08:03 - mmengine - INFO - Epoch(train) [6][1300/1879] lr: 2.0000e-02 eta: 1 day, 1:23:28 time: 1.0294 data_time: 0.0232 memory: 27035 grad_norm: 3.9786 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9397 loss: 1.9397 2022/08/08 19:08:23 - mmengine - INFO - Epoch(train) [6][1320/1879] lr: 2.0000e-02 eta: 1 day, 1:22:56 time: 1.0298 data_time: 0.0230 memory: 27035 grad_norm: 3.9764 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0998 loss: 2.0998 2022/08/08 19:08:44 - mmengine - INFO - Epoch(train) [6][1340/1879] lr: 2.0000e-02 eta: 1 day, 1:22:23 time: 1.0268 data_time: 0.0224 memory: 27035 grad_norm: 3.9964 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8134 loss: 1.8134 2022/08/08 19:09:04 - mmengine - INFO - Epoch(train) [6][1360/1879] lr: 2.0000e-02 eta: 1 day, 1:21:50 time: 1.0278 data_time: 0.0253 memory: 27035 grad_norm: 3.8874 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8542 loss: 1.8542 2022/08/08 19:09:25 - mmengine - INFO - Epoch(train) [6][1380/1879] lr: 2.0000e-02 eta: 1 day, 1:21:17 time: 1.0256 data_time: 0.0233 memory: 27035 grad_norm: 4.0856 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8554 loss: 1.8554 2022/08/08 19:09:46 - mmengine - INFO - Epoch(train) [6][1400/1879] lr: 2.0000e-02 eta: 1 day, 1:20:46 time: 1.0389 data_time: 0.0335 memory: 27035 grad_norm: 4.0286 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9392 loss: 1.9392 2022/08/08 19:10:06 - mmengine - INFO - Epoch(train) [6][1420/1879] lr: 2.0000e-02 eta: 1 day, 1:20:14 time: 1.0324 data_time: 0.0243 memory: 27035 grad_norm: 3.9091 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7876 loss: 1.7876 2022/08/08 19:10:28 - mmengine - INFO - Epoch(train) [6][1440/1879] lr: 2.0000e-02 eta: 1 day, 1:19:49 time: 1.0789 data_time: 0.0699 memory: 27035 grad_norm: 3.9217 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9615 loss: 1.9615 2022/08/08 19:10:48 - mmengine - INFO - Epoch(train) [6][1460/1879] lr: 2.0000e-02 eta: 1 day, 1:19:16 time: 1.0264 data_time: 0.0230 memory: 27035 grad_norm: 3.9862 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0497 loss: 2.0497 2022/08/08 19:11:09 - mmengine - INFO - Epoch(train) [6][1480/1879] lr: 2.0000e-02 eta: 1 day, 1:18:44 time: 1.0266 data_time: 0.0225 memory: 27035 grad_norm: 4.0029 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1698 loss: 2.1698 2022/08/08 19:11:30 - mmengine - INFO - Epoch(train) [6][1500/1879] lr: 2.0000e-02 eta: 1 day, 1:18:12 time: 1.0331 data_time: 0.0286 memory: 27035 grad_norm: 4.0024 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8189 loss: 1.8189 2022/08/08 19:11:50 - mmengine - INFO - Epoch(train) [6][1520/1879] lr: 2.0000e-02 eta: 1 day, 1:17:40 time: 1.0303 data_time: 0.0232 memory: 27035 grad_norm: 3.8786 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7961 loss: 1.7961 2022/08/08 19:12:11 - mmengine - INFO - Epoch(train) [6][1540/1879] lr: 2.0000e-02 eta: 1 day, 1:17:07 time: 1.0257 data_time: 0.0223 memory: 27035 grad_norm: 3.9706 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0204 loss: 2.0204 2022/08/08 19:12:31 - mmengine - INFO - Epoch(train) [6][1560/1879] lr: 2.0000e-02 eta: 1 day, 1:16:35 time: 1.0310 data_time: 0.0234 memory: 27035 grad_norm: 3.9402 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1456 loss: 2.1456 2022/08/08 19:12:52 - mmengine - INFO - Epoch(train) [6][1580/1879] lr: 2.0000e-02 eta: 1 day, 1:16:03 time: 1.0276 data_time: 0.0231 memory: 27035 grad_norm: 4.0758 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0119 loss: 2.0119 2022/08/08 19:13:13 - mmengine - INFO - Epoch(train) [6][1600/1879] lr: 2.0000e-02 eta: 1 day, 1:15:31 time: 1.0299 data_time: 0.0227 memory: 27035 grad_norm: 3.9758 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8906 loss: 1.8906 2022/08/08 19:13:18 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 19:13:33 - mmengine - INFO - Epoch(train) [6][1620/1879] lr: 2.0000e-02 eta: 1 day, 1:14:59 time: 1.0257 data_time: 0.0234 memory: 27035 grad_norm: 3.9493 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8983 loss: 1.8983 2022/08/08 19:13:54 - mmengine - INFO - Epoch(train) [6][1640/1879] lr: 2.0000e-02 eta: 1 day, 1:14:26 time: 1.0255 data_time: 0.0225 memory: 27035 grad_norm: 3.9600 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8558 loss: 1.8558 2022/08/08 19:14:14 - mmengine - INFO - Epoch(train) [6][1660/1879] lr: 2.0000e-02 eta: 1 day, 1:13:55 time: 1.0323 data_time: 0.0286 memory: 27035 grad_norm: 3.8408 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.1100 loss: 2.1100 2022/08/08 19:14:35 - mmengine - INFO - Epoch(train) [6][1680/1879] lr: 2.0000e-02 eta: 1 day, 1:13:22 time: 1.0270 data_time: 0.0222 memory: 27035 grad_norm: 4.0090 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8683 loss: 1.8683 2022/08/08 19:14:55 - mmengine - INFO - Epoch(train) [6][1700/1879] lr: 2.0000e-02 eta: 1 day, 1:12:50 time: 1.0257 data_time: 0.0232 memory: 27035 grad_norm: 4.0278 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8444 loss: 1.8444 2022/08/08 19:15:16 - mmengine - INFO - Epoch(train) [6][1720/1879] lr: 2.0000e-02 eta: 1 day, 1:12:22 time: 1.0555 data_time: 0.0278 memory: 27035 grad_norm: 3.9097 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2139 loss: 2.2139 2022/08/08 19:15:37 - mmengine - INFO - Epoch(train) [6][1740/1879] lr: 2.0000e-02 eta: 1 day, 1:11:51 time: 1.0314 data_time: 0.0228 memory: 27035 grad_norm: 3.8786 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1205 loss: 2.1205 2022/08/08 19:15:58 - mmengine - INFO - Epoch(train) [6][1760/1879] lr: 2.0000e-02 eta: 1 day, 1:11:20 time: 1.0386 data_time: 0.0235 memory: 27035 grad_norm: 3.9369 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9497 loss: 1.9497 2022/08/08 19:16:18 - mmengine - INFO - Epoch(train) [6][1780/1879] lr: 2.0000e-02 eta: 1 day, 1:10:49 time: 1.0285 data_time: 0.0222 memory: 27035 grad_norm: 3.9846 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8919 loss: 1.8919 2022/08/08 19:16:39 - mmengine - INFO - Epoch(train) [6][1800/1879] lr: 2.0000e-02 eta: 1 day, 1:10:17 time: 1.0302 data_time: 0.0224 memory: 27035 grad_norm: 4.0029 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9092 loss: 1.9092 2022/08/08 19:17:00 - mmengine - INFO - Epoch(train) [6][1820/1879] lr: 2.0000e-02 eta: 1 day, 1:09:45 time: 1.0276 data_time: 0.0218 memory: 27035 grad_norm: 3.8604 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8643 loss: 1.8643 2022/08/08 19:17:21 - mmengine - INFO - Epoch(train) [6][1840/1879] lr: 2.0000e-02 eta: 1 day, 1:09:17 time: 1.0550 data_time: 0.0510 memory: 27035 grad_norm: 3.8466 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1110 loss: 2.1110 2022/08/08 19:17:41 - mmengine - INFO - Epoch(train) [6][1860/1879] lr: 2.0000e-02 eta: 1 day, 1:08:46 time: 1.0298 data_time: 0.0257 memory: 27035 grad_norm: 4.0113 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1132 loss: 2.1132 2022/08/08 19:18:01 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 19:18:01 - mmengine - INFO - Epoch(train) [6][1879/1879] lr: 2.0000e-02 eta: 1 day, 1:08:46 time: 1.0260 data_time: 0.0237 memory: 27035 grad_norm: 4.0786 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.1052 loss: 2.1052 2022/08/08 19:18:01 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/08/08 19:18:18 - mmengine - INFO - Epoch(val) [6][20/155] eta: 0:01:45 time: 0.7809 data_time: 0.5111 memory: 3270 2022/08/08 19:18:28 - mmengine - INFO - Epoch(val) [6][40/155] eta: 0:00:58 time: 0.5124 data_time: 0.2410 memory: 3270 2022/08/08 19:18:42 - mmengine - INFO - Epoch(val) [6][60/155] eta: 0:01:04 time: 0.6743 data_time: 0.4031 memory: 3270 2022/08/08 19:18:53 - mmengine - INFO - Epoch(val) [6][80/155] eta: 0:00:41 time: 0.5558 data_time: 0.2865 memory: 3270 2022/08/08 19:19:07 - mmengine - INFO - Epoch(val) [6][100/155] eta: 0:00:37 time: 0.6825 data_time: 0.4133 memory: 3270 2022/08/08 19:19:18 - mmengine - INFO - Epoch(val) [6][120/155] eta: 0:00:20 time: 0.5811 data_time: 0.3098 memory: 3270 2022/08/08 19:19:33 - mmengine - INFO - Epoch(val) [6][140/155] eta: 0:00:10 time: 0.7264 data_time: 0.4596 memory: 3270 2022/08/08 19:19:42 - mmengine - INFO - Epoch(val) [6][155/155] acc/top1: 0.5308 acc/top5: 0.7885 acc/mean1: 0.5306 2022/08/08 19:19:42 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_5.pth is removed 2022/08/08 19:19:43 - mmengine - INFO - The best checkpoint with 0.5308 acc/top1 at 7 epoch is saved to best_acc/top1_epoch_7.pth. 2022/08/08 19:20:10 - mmengine - INFO - Epoch(train) [7][20/1879] lr: 2.0000e-02 eta: 1 day, 1:06:02 time: 1.3047 data_time: 0.2283 memory: 27035 grad_norm: 4.0403 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9917 loss: 1.9917 2022/08/08 19:20:30 - mmengine - INFO - Epoch(train) [7][40/1879] lr: 2.0000e-02 eta: 1 day, 1:05:32 time: 1.0422 data_time: 0.0235 memory: 27035 grad_norm: 3.8207 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8149 loss: 1.8149 2022/08/08 19:20:51 - mmengine - INFO - Epoch(train) [7][60/1879] lr: 2.0000e-02 eta: 1 day, 1:05:01 time: 1.0288 data_time: 0.0223 memory: 27035 grad_norm: 3.9477 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9770 loss: 1.9770 2022/08/08 19:21:12 - mmengine - INFO - Epoch(train) [7][80/1879] lr: 2.0000e-02 eta: 1 day, 1:04:30 time: 1.0258 data_time: 0.0230 memory: 27035 grad_norm: 3.8339 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8323 loss: 1.8323 2022/08/08 19:21:32 - mmengine - INFO - Epoch(train) [7][100/1879] lr: 2.0000e-02 eta: 1 day, 1:03:58 time: 1.0280 data_time: 0.0228 memory: 27035 grad_norm: 3.8298 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.7688 loss: 1.7688 2022/08/08 19:21:53 - mmengine - INFO - Epoch(train) [7][120/1879] lr: 2.0000e-02 eta: 1 day, 1:03:27 time: 1.0266 data_time: 0.0235 memory: 27035 grad_norm: 3.9272 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 2.0052 loss: 2.0052 2022/08/08 19:22:13 - mmengine - INFO - Epoch(train) [7][140/1879] lr: 2.0000e-02 eta: 1 day, 1:02:56 time: 1.0307 data_time: 0.0238 memory: 27035 grad_norm: 3.8495 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9788 loss: 1.9788 2022/08/08 19:22:34 - mmengine - INFO - Epoch(train) [7][160/1879] lr: 2.0000e-02 eta: 1 day, 1:02:25 time: 1.0274 data_time: 0.0235 memory: 27035 grad_norm: 3.9455 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0476 loss: 2.0476 2022/08/08 19:22:54 - mmengine - INFO - Epoch(train) [7][180/1879] lr: 2.0000e-02 eta: 1 day, 1:01:53 time: 1.0253 data_time: 0.0223 memory: 27035 grad_norm: 3.9357 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8558 loss: 1.8558 2022/08/08 19:23:15 - mmengine - INFO - Epoch(train) [7][200/1879] lr: 2.0000e-02 eta: 1 day, 1:01:22 time: 1.0263 data_time: 0.0231 memory: 27035 grad_norm: 3.9374 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9586 loss: 1.9586 2022/08/08 19:23:35 - mmengine - INFO - Epoch(train) [7][220/1879] lr: 2.0000e-02 eta: 1 day, 1:00:51 time: 1.0313 data_time: 0.0235 memory: 27035 grad_norm: 3.9530 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9165 loss: 1.9165 2022/08/08 19:23:56 - mmengine - INFO - Epoch(train) [7][240/1879] lr: 2.0000e-02 eta: 1 day, 1:00:20 time: 1.0260 data_time: 0.0226 memory: 27035 grad_norm: 3.9751 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0713 loss: 2.0713 2022/08/08 19:24:16 - mmengine - INFO - Epoch(train) [7][260/1879] lr: 2.0000e-02 eta: 1 day, 0:59:49 time: 1.0264 data_time: 0.0235 memory: 27035 grad_norm: 3.9258 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9349 loss: 1.9349 2022/08/08 19:24:37 - mmengine - INFO - Epoch(train) [7][280/1879] lr: 2.0000e-02 eta: 1 day, 0:59:18 time: 1.0262 data_time: 0.0229 memory: 27035 grad_norm: 3.9550 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7211 loss: 1.7211 2022/08/08 19:24:58 - mmengine - INFO - Epoch(train) [7][300/1879] lr: 2.0000e-02 eta: 1 day, 0:58:48 time: 1.0341 data_time: 0.0230 memory: 27035 grad_norm: 3.9574 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9705 loss: 1.9705 2022/08/08 19:25:18 - mmengine - INFO - Epoch(train) [7][320/1879] lr: 2.0000e-02 eta: 1 day, 0:58:17 time: 1.0292 data_time: 0.0232 memory: 27035 grad_norm: 4.0126 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0088 loss: 2.0088 2022/08/08 19:25:39 - mmengine - INFO - Epoch(train) [7][340/1879] lr: 2.0000e-02 eta: 1 day, 0:57:46 time: 1.0306 data_time: 0.0251 memory: 27035 grad_norm: 3.8377 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8400 loss: 1.8400 2022/08/08 19:26:00 - mmengine - INFO - Epoch(train) [7][360/1879] lr: 2.0000e-02 eta: 1 day, 0:57:17 time: 1.0370 data_time: 0.0295 memory: 27035 grad_norm: 3.9799 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9470 loss: 1.9470 2022/08/08 19:26:20 - mmengine - INFO - Epoch(train) [7][380/1879] lr: 2.0000e-02 eta: 1 day, 0:56:46 time: 1.0266 data_time: 0.0239 memory: 27035 grad_norm: 3.9232 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1394 loss: 2.1394 2022/08/08 19:26:41 - mmengine - INFO - Epoch(train) [7][400/1879] lr: 2.0000e-02 eta: 1 day, 0:56:15 time: 1.0291 data_time: 0.0233 memory: 27035 grad_norm: 3.9335 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9279 loss: 1.9279 2022/08/08 19:27:01 - mmengine - INFO - Epoch(train) [7][420/1879] lr: 2.0000e-02 eta: 1 day, 0:55:44 time: 1.0270 data_time: 0.0244 memory: 27035 grad_norm: 3.9085 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.8526 loss: 1.8526 2022/08/08 19:27:23 - mmengine - INFO - Epoch(train) [7][440/1879] lr: 2.0000e-02 eta: 1 day, 0:55:19 time: 1.0626 data_time: 0.0230 memory: 27035 grad_norm: 3.9209 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9939 loss: 1.9939 2022/08/08 19:27:43 - mmengine - INFO - Epoch(train) [7][460/1879] lr: 2.0000e-02 eta: 1 day, 0:54:48 time: 1.0286 data_time: 0.0237 memory: 27035 grad_norm: 4.0095 top1_acc: 0.3125 top5_acc: 0.9375 loss_cls: 1.9753 loss: 1.9753 2022/08/08 19:28:04 - mmengine - INFO - Epoch(train) [7][480/1879] lr: 2.0000e-02 eta: 1 day, 0:54:17 time: 1.0261 data_time: 0.0231 memory: 27035 grad_norm: 3.9620 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8375 loss: 1.8375 2022/08/08 19:28:24 - mmengine - INFO - Epoch(train) [7][500/1879] lr: 2.0000e-02 eta: 1 day, 0:53:47 time: 1.0289 data_time: 0.0233 memory: 27035 grad_norm: 3.8160 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5914 loss: 1.5914 2022/08/08 19:28:45 - mmengine - INFO - Epoch(train) [7][520/1879] lr: 2.0000e-02 eta: 1 day, 0:53:16 time: 1.0298 data_time: 0.0231 memory: 27035 grad_norm: 3.9545 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7766 loss: 1.7766 2022/08/08 19:29:05 - mmengine - INFO - Epoch(train) [7][540/1879] lr: 2.0000e-02 eta: 1 day, 0:52:46 time: 1.0268 data_time: 0.0236 memory: 27035 grad_norm: 3.9479 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7354 loss: 1.7354 2022/08/08 19:29:26 - mmengine - INFO - Epoch(train) [7][560/1879] lr: 2.0000e-02 eta: 1 day, 0:52:16 time: 1.0304 data_time: 0.0230 memory: 27035 grad_norm: 3.9660 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8553 loss: 1.8553 2022/08/08 19:29:46 - mmengine - INFO - Epoch(train) [7][580/1879] lr: 2.0000e-02 eta: 1 day, 0:51:45 time: 1.0252 data_time: 0.0232 memory: 27035 grad_norm: 3.9539 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8760 loss: 1.8760 2022/08/08 19:30:07 - mmengine - INFO - Epoch(train) [7][600/1879] lr: 2.0000e-02 eta: 1 day, 0:51:15 time: 1.0294 data_time: 0.0231 memory: 27035 grad_norm: 3.9616 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9503 loss: 1.9503 2022/08/08 19:30:28 - mmengine - INFO - Epoch(train) [7][620/1879] lr: 2.0000e-02 eta: 1 day, 0:50:45 time: 1.0322 data_time: 0.0282 memory: 27035 grad_norm: 3.9357 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8498 loss: 1.8498 2022/08/08 19:30:48 - mmengine - INFO - Epoch(train) [7][640/1879] lr: 2.0000e-02 eta: 1 day, 0:50:14 time: 1.0280 data_time: 0.0219 memory: 27035 grad_norm: 3.9101 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9167 loss: 1.9167 2022/08/08 19:31:09 - mmengine - INFO - Epoch(train) [7][660/1879] lr: 2.0000e-02 eta: 1 day, 0:49:44 time: 1.0260 data_time: 0.0237 memory: 27035 grad_norm: 4.0256 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8310 loss: 1.8310 2022/08/08 19:31:29 - mmengine - INFO - Epoch(train) [7][680/1879] lr: 2.0000e-02 eta: 1 day, 0:49:14 time: 1.0280 data_time: 0.0235 memory: 27035 grad_norm: 3.9590 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9120 loss: 1.9120 2022/08/08 19:31:50 - mmengine - INFO - Epoch(train) [7][700/1879] lr: 2.0000e-02 eta: 1 day, 0:48:44 time: 1.0346 data_time: 0.0292 memory: 27035 grad_norm: 3.9053 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8127 loss: 1.8127 2022/08/08 19:32:11 - mmengine - INFO - Epoch(train) [7][720/1879] lr: 2.0000e-02 eta: 1 day, 0:48:14 time: 1.0267 data_time: 0.0237 memory: 27035 grad_norm: 3.8098 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9988 loss: 1.9988 2022/08/08 19:32:17 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 19:32:31 - mmengine - INFO - Epoch(train) [7][740/1879] lr: 2.0000e-02 eta: 1 day, 0:47:44 time: 1.0315 data_time: 0.0244 memory: 27035 grad_norm: 3.9618 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9728 loss: 1.9728 2022/08/08 19:32:52 - mmengine - INFO - Epoch(train) [7][760/1879] lr: 2.0000e-02 eta: 1 day, 0:47:14 time: 1.0248 data_time: 0.0225 memory: 27035 grad_norm: 3.8342 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0225 loss: 2.0225 2022/08/08 19:33:12 - mmengine - INFO - Epoch(train) [7][780/1879] lr: 2.0000e-02 eta: 1 day, 0:46:44 time: 1.0289 data_time: 0.0233 memory: 27035 grad_norm: 3.8298 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7690 loss: 1.7690 2022/08/08 19:33:33 - mmengine - INFO - Epoch(train) [7][800/1879] lr: 2.0000e-02 eta: 1 day, 0:46:13 time: 1.0260 data_time: 0.0224 memory: 27035 grad_norm: 3.9980 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0838 loss: 2.0838 2022/08/08 19:33:53 - mmengine - INFO - Epoch(train) [7][820/1879] lr: 2.0000e-02 eta: 1 day, 0:45:44 time: 1.0311 data_time: 0.0230 memory: 27035 grad_norm: 3.9963 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1027 loss: 2.1027 2022/08/08 19:34:14 - mmengine - INFO - Epoch(train) [7][840/1879] lr: 2.0000e-02 eta: 1 day, 0:45:13 time: 1.0255 data_time: 0.0227 memory: 27035 grad_norm: 3.9259 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6762 loss: 1.6762 2022/08/08 19:34:35 - mmengine - INFO - Epoch(train) [7][860/1879] lr: 2.0000e-02 eta: 1 day, 0:44:43 time: 1.0302 data_time: 0.0236 memory: 27035 grad_norm: 3.9245 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8731 loss: 1.8731 2022/08/08 19:34:55 - mmengine - INFO - Epoch(train) [7][880/1879] lr: 2.0000e-02 eta: 1 day, 0:44:13 time: 1.0261 data_time: 0.0231 memory: 27035 grad_norm: 3.8895 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7659 loss: 1.7659 2022/08/08 19:35:16 - mmengine - INFO - Epoch(train) [7][900/1879] lr: 2.0000e-02 eta: 1 day, 0:43:44 time: 1.0334 data_time: 0.0231 memory: 27035 grad_norm: 3.9228 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7441 loss: 1.7441 2022/08/08 19:35:36 - mmengine - INFO - Epoch(train) [7][920/1879] lr: 2.0000e-02 eta: 1 day, 0:43:15 time: 1.0309 data_time: 0.0241 memory: 27035 grad_norm: 4.0673 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8162 loss: 1.8162 2022/08/08 19:35:57 - mmengine - INFO - Epoch(train) [7][940/1879] lr: 2.0000e-02 eta: 1 day, 0:42:45 time: 1.0272 data_time: 0.0221 memory: 27035 grad_norm: 3.8991 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0239 loss: 2.0239 2022/08/08 19:36:18 - mmengine - INFO - Epoch(train) [7][960/1879] lr: 2.0000e-02 eta: 1 day, 0:42:15 time: 1.0287 data_time: 0.0219 memory: 27035 grad_norm: 3.9283 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8699 loss: 1.8699 2022/08/08 19:36:38 - mmengine - INFO - Epoch(train) [7][980/1879] lr: 2.0000e-02 eta: 1 day, 0:41:45 time: 1.0306 data_time: 0.0240 memory: 27035 grad_norm: 3.9132 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8247 loss: 1.8247 2022/08/08 19:36:59 - mmengine - INFO - Epoch(train) [7][1000/1879] lr: 2.0000e-02 eta: 1 day, 0:41:16 time: 1.0301 data_time: 0.0228 memory: 27035 grad_norm: 3.8045 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9531 loss: 1.9531 2022/08/08 19:37:20 - mmengine - INFO - Epoch(train) [7][1020/1879] lr: 2.0000e-02 eta: 1 day, 0:40:48 time: 1.0409 data_time: 0.0220 memory: 27035 grad_norm: 3.9797 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7547 loss: 1.7547 2022/08/08 19:37:40 - mmengine - INFO - Epoch(train) [7][1040/1879] lr: 2.0000e-02 eta: 1 day, 0:40:18 time: 1.0268 data_time: 0.0225 memory: 27035 grad_norm: 3.9815 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9833 loss: 1.9833 2022/08/08 19:38:01 - mmengine - INFO - Epoch(train) [7][1060/1879] lr: 2.0000e-02 eta: 1 day, 0:39:48 time: 1.0268 data_time: 0.0232 memory: 27035 grad_norm: 3.8694 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8533 loss: 1.8533 2022/08/08 19:38:21 - mmengine - INFO - Epoch(train) [7][1080/1879] lr: 2.0000e-02 eta: 1 day, 0:39:18 time: 1.0281 data_time: 0.0234 memory: 27035 grad_norm: 3.7144 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8671 loss: 1.8671 2022/08/08 19:38:42 - mmengine - INFO - Epoch(train) [7][1100/1879] lr: 2.0000e-02 eta: 1 day, 0:38:49 time: 1.0261 data_time: 0.0232 memory: 27035 grad_norm: 3.7834 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8712 loss: 1.8712 2022/08/08 19:39:02 - mmengine - INFO - Epoch(train) [7][1120/1879] lr: 2.0000e-02 eta: 1 day, 0:38:18 time: 1.0250 data_time: 0.0230 memory: 27035 grad_norm: 4.0100 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9550 loss: 1.9550 2022/08/08 19:39:23 - mmengine - INFO - Epoch(train) [7][1140/1879] lr: 2.0000e-02 eta: 1 day, 0:37:49 time: 1.0292 data_time: 0.0232 memory: 27035 grad_norm: 3.9070 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0290 loss: 2.0290 2022/08/08 19:39:43 - mmengine - INFO - Epoch(train) [7][1160/1879] lr: 2.0000e-02 eta: 1 day, 0:37:19 time: 1.0256 data_time: 0.0229 memory: 27035 grad_norm: 3.8429 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8626 loss: 1.8626 2022/08/08 19:40:04 - mmengine - INFO - Epoch(train) [7][1180/1879] lr: 2.0000e-02 eta: 1 day, 0:36:50 time: 1.0306 data_time: 0.0233 memory: 27035 grad_norm: 3.8422 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7749 loss: 1.7749 2022/08/08 19:40:26 - mmengine - INFO - Epoch(train) [7][1200/1879] lr: 2.0000e-02 eta: 1 day, 0:36:28 time: 1.0865 data_time: 0.0820 memory: 27035 grad_norm: 3.8443 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0435 loss: 2.0435 2022/08/08 19:40:46 - mmengine - INFO - Epoch(train) [7][1220/1879] lr: 2.0000e-02 eta: 1 day, 0:35:59 time: 1.0296 data_time: 0.0225 memory: 27035 grad_norm: 3.8825 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9419 loss: 1.9419 2022/08/08 19:41:07 - mmengine - INFO - Epoch(train) [7][1240/1879] lr: 2.0000e-02 eta: 1 day, 0:35:29 time: 1.0279 data_time: 0.0226 memory: 27035 grad_norm: 3.8691 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9098 loss: 1.9098 2022/08/08 19:41:27 - mmengine - INFO - Epoch(train) [7][1260/1879] lr: 2.0000e-02 eta: 1 day, 0:35:00 time: 1.0268 data_time: 0.0218 memory: 27035 grad_norm: 3.9936 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8535 loss: 1.8535 2022/08/08 19:41:48 - mmengine - INFO - Epoch(train) [7][1280/1879] lr: 2.0000e-02 eta: 1 day, 0:34:30 time: 1.0254 data_time: 0.0232 memory: 27035 grad_norm: 3.7807 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7743 loss: 1.7743 2022/08/08 19:42:08 - mmengine - INFO - Epoch(train) [7][1300/1879] lr: 2.0000e-02 eta: 1 day, 0:34:01 time: 1.0278 data_time: 0.0225 memory: 27035 grad_norm: 3.7822 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9503 loss: 1.9503 2022/08/08 19:42:29 - mmengine - INFO - Epoch(train) [7][1320/1879] lr: 2.0000e-02 eta: 1 day, 0:33:31 time: 1.0273 data_time: 0.0230 memory: 27035 grad_norm: 3.9374 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7186 loss: 1.7186 2022/08/08 19:42:50 - mmengine - INFO - Epoch(train) [7][1340/1879] lr: 2.0000e-02 eta: 1 day, 0:33:02 time: 1.0305 data_time: 0.0234 memory: 27035 grad_norm: 3.8117 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9443 loss: 1.9443 2022/08/08 19:43:10 - mmengine - INFO - Epoch(train) [7][1360/1879] lr: 2.0000e-02 eta: 1 day, 0:32:34 time: 1.0353 data_time: 0.0237 memory: 27035 grad_norm: 3.8742 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7208 loss: 1.7208 2022/08/08 19:43:31 - mmengine - INFO - Epoch(train) [7][1380/1879] lr: 2.0000e-02 eta: 1 day, 0:32:05 time: 1.0262 data_time: 0.0229 memory: 27035 grad_norm: 3.8678 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8918 loss: 1.8918 2022/08/08 19:43:51 - mmengine - INFO - Epoch(train) [7][1400/1879] lr: 2.0000e-02 eta: 1 day, 0:31:35 time: 1.0285 data_time: 0.0227 memory: 27035 grad_norm: 3.8849 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8421 loss: 1.8421 2022/08/08 19:44:12 - mmengine - INFO - Epoch(train) [7][1420/1879] lr: 2.0000e-02 eta: 1 day, 0:31:06 time: 1.0260 data_time: 0.0227 memory: 27035 grad_norm: 3.8578 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9102 loss: 1.9102 2022/08/08 19:44:33 - mmengine - INFO - Epoch(train) [7][1440/1879] lr: 2.0000e-02 eta: 1 day, 0:30:37 time: 1.0316 data_time: 0.0233 memory: 27035 grad_norm: 3.7843 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0706 loss: 2.0706 2022/08/08 19:44:53 - mmengine - INFO - Epoch(train) [7][1460/1879] lr: 2.0000e-02 eta: 1 day, 0:30:08 time: 1.0256 data_time: 0.0235 memory: 27035 grad_norm: 3.8106 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9099 loss: 1.9099 2022/08/08 19:45:14 - mmengine - INFO - Epoch(train) [7][1480/1879] lr: 2.0000e-02 eta: 1 day, 0:29:41 time: 1.0433 data_time: 0.0306 memory: 27035 grad_norm: 3.8323 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8107 loss: 1.8107 2022/08/08 19:45:35 - mmengine - INFO - Epoch(train) [7][1500/1879] lr: 2.0000e-02 eta: 1 day, 0:29:12 time: 1.0353 data_time: 0.0228 memory: 27035 grad_norm: 3.8521 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8347 loss: 1.8347 2022/08/08 19:45:55 - mmengine - INFO - Epoch(train) [7][1520/1879] lr: 2.0000e-02 eta: 1 day, 0:28:43 time: 1.0260 data_time: 0.0231 memory: 27035 grad_norm: 3.9411 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0222 loss: 2.0222 2022/08/08 19:46:16 - mmengine - INFO - Epoch(train) [7][1540/1879] lr: 2.0000e-02 eta: 1 day, 0:28:14 time: 1.0291 data_time: 0.0227 memory: 27035 grad_norm: 3.8247 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8235 loss: 1.8235 2022/08/08 19:46:36 - mmengine - INFO - Epoch(train) [7][1560/1879] lr: 2.0000e-02 eta: 1 day, 0:27:45 time: 1.0260 data_time: 0.0220 memory: 27035 grad_norm: 3.9483 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8538 loss: 1.8538 2022/08/08 19:46:57 - mmengine - INFO - Epoch(train) [7][1580/1879] lr: 2.0000e-02 eta: 1 day, 0:27:16 time: 1.0284 data_time: 0.0241 memory: 27035 grad_norm: 3.8844 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8934 loss: 1.8934 2022/08/08 19:47:18 - mmengine - INFO - Epoch(train) [7][1600/1879] lr: 2.0000e-02 eta: 1 day, 0:26:49 time: 1.0445 data_time: 0.0233 memory: 27035 grad_norm: 3.8655 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8573 loss: 1.8573 2022/08/08 19:47:38 - mmengine - INFO - Epoch(train) [7][1620/1879] lr: 2.0000e-02 eta: 1 day, 0:26:21 time: 1.0312 data_time: 0.0234 memory: 27035 grad_norm: 3.8782 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9278 loss: 1.9278 2022/08/08 19:47:59 - mmengine - INFO - Epoch(train) [7][1640/1879] lr: 2.0000e-02 eta: 1 day, 0:25:52 time: 1.0303 data_time: 0.0230 memory: 27035 grad_norm: 3.7953 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6979 loss: 1.6979 2022/08/08 19:48:19 - mmengine - INFO - Epoch(train) [7][1660/1879] lr: 2.0000e-02 eta: 1 day, 0:25:23 time: 1.0263 data_time: 0.0232 memory: 27035 grad_norm: 3.9555 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8459 loss: 1.8459 2022/08/08 19:48:40 - mmengine - INFO - Epoch(train) [7][1680/1879] lr: 2.0000e-02 eta: 1 day, 0:24:54 time: 1.0310 data_time: 0.0228 memory: 27035 grad_norm: 3.8057 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7122 loss: 1.7122 2022/08/08 19:49:01 - mmengine - INFO - Epoch(train) [7][1700/1879] lr: 2.0000e-02 eta: 1 day, 0:24:26 time: 1.0294 data_time: 0.0216 memory: 27035 grad_norm: 3.8083 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9752 loss: 1.9752 2022/08/08 19:49:21 - mmengine - INFO - Epoch(train) [7][1720/1879] lr: 2.0000e-02 eta: 1 day, 0:23:57 time: 1.0258 data_time: 0.0227 memory: 27035 grad_norm: 3.8351 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9819 loss: 1.9819 2022/08/08 19:49:27 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 19:49:42 - mmengine - INFO - Epoch(train) [7][1740/1879] lr: 2.0000e-02 eta: 1 day, 0:23:28 time: 1.0316 data_time: 0.0232 memory: 27035 grad_norm: 3.9098 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9468 loss: 1.9468 2022/08/08 19:50:02 - mmengine - INFO - Epoch(train) [7][1760/1879] lr: 2.0000e-02 eta: 1 day, 0:23:00 time: 1.0294 data_time: 0.0237 memory: 27035 grad_norm: 3.7723 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9799 loss: 1.9799 2022/08/08 19:50:24 - mmengine - INFO - Epoch(train) [7][1780/1879] lr: 2.0000e-02 eta: 1 day, 0:22:34 time: 1.0541 data_time: 0.0327 memory: 27035 grad_norm: 3.7824 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6909 loss: 1.6909 2022/08/08 19:50:44 - mmengine - INFO - Epoch(train) [7][1800/1879] lr: 2.0000e-02 eta: 1 day, 0:22:05 time: 1.0277 data_time: 0.0222 memory: 27035 grad_norm: 3.9016 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9531 loss: 1.9531 2022/08/08 19:51:05 - mmengine - INFO - Epoch(train) [7][1820/1879] lr: 2.0000e-02 eta: 1 day, 0:21:36 time: 1.0267 data_time: 0.0245 memory: 27035 grad_norm: 3.7682 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9053 loss: 1.9053 2022/08/08 19:51:25 - mmengine - INFO - Epoch(train) [7][1840/1879] lr: 2.0000e-02 eta: 1 day, 0:21:08 time: 1.0263 data_time: 0.0228 memory: 27035 grad_norm: 3.8252 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9611 loss: 1.9611 2022/08/08 19:51:46 - mmengine - INFO - Epoch(train) [7][1860/1879] lr: 2.0000e-02 eta: 1 day, 0:20:39 time: 1.0262 data_time: 0.0228 memory: 27035 grad_norm: 3.9315 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0765 loss: 2.0765 2022/08/08 19:52:05 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 19:52:05 - mmengine - INFO - Epoch(train) [7][1879/1879] lr: 2.0000e-02 eta: 1 day, 0:20:39 time: 1.0043 data_time: 0.0215 memory: 27035 grad_norm: 3.9410 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.1493 loss: 2.1493 2022/08/08 19:52:20 - mmengine - INFO - Epoch(val) [7][20/155] eta: 0:01:45 time: 0.7838 data_time: 0.5090 memory: 3270 2022/08/08 19:52:30 - mmengine - INFO - Epoch(val) [7][40/155] eta: 0:00:57 time: 0.4957 data_time: 0.2218 memory: 3270 2022/08/08 19:52:44 - mmengine - INFO - Epoch(val) [7][60/155] eta: 0:01:04 time: 0.6764 data_time: 0.4041 memory: 3270 2022/08/08 19:52:54 - mmengine - INFO - Epoch(val) [7][80/155] eta: 0:00:37 time: 0.4966 data_time: 0.2250 memory: 3270 2022/08/08 19:53:07 - mmengine - INFO - Epoch(val) [7][100/155] eta: 0:00:35 time: 0.6539 data_time: 0.3837 memory: 3270 2022/08/08 19:53:21 - mmengine - INFO - Epoch(val) [7][120/155] eta: 0:00:25 time: 0.7150 data_time: 0.4416 memory: 3270 2022/08/08 19:53:35 - mmengine - INFO - Epoch(val) [7][140/155] eta: 0:00:10 time: 0.6864 data_time: 0.4156 memory: 3270 2022/08/08 19:53:43 - mmengine - INFO - Epoch(val) [7][155/155] acc/top1: 0.5673 acc/top5: 0.8130 acc/mean1: 0.5671 2022/08/08 19:53:43 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_7.pth is removed 2022/08/08 19:53:44 - mmengine - INFO - The best checkpoint with 0.5673 acc/top1 at 8 epoch is saved to best_acc/top1_epoch_8.pth. 2022/08/08 19:54:10 - mmengine - INFO - Epoch(train) [8][20/1879] lr: 2.0000e-02 eta: 1 day, 0:18:14 time: 1.2768 data_time: 0.2530 memory: 27035 grad_norm: 3.7793 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.7678 loss: 1.7678 2022/08/08 19:54:30 - mmengine - INFO - Epoch(train) [8][40/1879] lr: 2.0000e-02 eta: 1 day, 0:17:45 time: 1.0283 data_time: 0.0231 memory: 27035 grad_norm: 3.7491 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9138 loss: 1.9138 2022/08/08 19:54:51 - mmengine - INFO - Epoch(train) [8][60/1879] lr: 2.0000e-02 eta: 1 day, 0:17:17 time: 1.0261 data_time: 0.0231 memory: 27035 grad_norm: 3.7925 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7686 loss: 1.7686 2022/08/08 19:55:11 - mmengine - INFO - Epoch(train) [8][80/1879] lr: 2.0000e-02 eta: 1 day, 0:16:49 time: 1.0319 data_time: 0.0251 memory: 27035 grad_norm: 4.0669 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7674 loss: 1.7674 2022/08/08 19:55:32 - mmengine - INFO - Epoch(train) [8][100/1879] lr: 2.0000e-02 eta: 1 day, 0:16:20 time: 1.0276 data_time: 0.0237 memory: 27035 grad_norm: 3.9802 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7914 loss: 1.7914 2022/08/08 19:55:53 - mmengine - INFO - Epoch(train) [8][120/1879] lr: 2.0000e-02 eta: 1 day, 0:15:52 time: 1.0284 data_time: 0.0231 memory: 27035 grad_norm: 3.8775 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9365 loss: 1.9365 2022/08/08 19:56:13 - mmengine - INFO - Epoch(train) [8][140/1879] lr: 2.0000e-02 eta: 1 day, 0:15:25 time: 1.0343 data_time: 0.0295 memory: 27035 grad_norm: 3.8513 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8067 loss: 1.8067 2022/08/08 19:56:34 - mmengine - INFO - Epoch(train) [8][160/1879] lr: 2.0000e-02 eta: 1 day, 0:14:57 time: 1.0324 data_time: 0.0241 memory: 27035 grad_norm: 3.7641 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7924 loss: 1.7924 2022/08/08 19:56:54 - mmengine - INFO - Epoch(train) [8][180/1879] lr: 2.0000e-02 eta: 1 day, 0:14:29 time: 1.0281 data_time: 0.0228 memory: 27035 grad_norm: 3.9442 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6725 loss: 1.6725 2022/08/08 19:57:15 - mmengine - INFO - Epoch(train) [8][200/1879] lr: 2.0000e-02 eta: 1 day, 0:14:02 time: 1.0442 data_time: 0.0383 memory: 27035 grad_norm: 3.7715 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7833 loss: 1.7833 2022/08/08 19:57:36 - mmengine - INFO - Epoch(train) [8][220/1879] lr: 2.0000e-02 eta: 1 day, 0:13:35 time: 1.0320 data_time: 0.0236 memory: 27035 grad_norm: 3.8193 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5499 loss: 1.5499 2022/08/08 19:57:57 - mmengine - INFO - Epoch(train) [8][240/1879] lr: 2.0000e-02 eta: 1 day, 0:13:06 time: 1.0279 data_time: 0.0233 memory: 27035 grad_norm: 3.8355 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7525 loss: 1.7525 2022/08/08 19:58:17 - mmengine - INFO - Epoch(train) [8][260/1879] lr: 2.0000e-02 eta: 1 day, 0:12:38 time: 1.0287 data_time: 0.0231 memory: 27035 grad_norm: 3.9397 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7505 loss: 1.7505 2022/08/08 19:58:38 - mmengine - INFO - Epoch(train) [8][280/1879] lr: 2.0000e-02 eta: 1 day, 0:12:10 time: 1.0266 data_time: 0.0234 memory: 27035 grad_norm: 3.8409 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8274 loss: 1.8274 2022/08/08 19:58:58 - mmengine - INFO - Epoch(train) [8][300/1879] lr: 2.0000e-02 eta: 1 day, 0:11:42 time: 1.0257 data_time: 0.0220 memory: 27035 grad_norm: 3.8550 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7336 loss: 1.7336 2022/08/08 19:59:19 - mmengine - INFO - Epoch(train) [8][320/1879] lr: 2.0000e-02 eta: 1 day, 0:11:13 time: 1.0269 data_time: 0.0223 memory: 27035 grad_norm: 3.7885 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6911 loss: 1.6911 2022/08/08 19:59:39 - mmengine - INFO - Epoch(train) [8][340/1879] lr: 2.0000e-02 eta: 1 day, 0:10:45 time: 1.0274 data_time: 0.0220 memory: 27035 grad_norm: 3.8962 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7763 loss: 1.7763 2022/08/08 20:00:00 - mmengine - INFO - Epoch(train) [8][360/1879] lr: 2.0000e-02 eta: 1 day, 0:10:17 time: 1.0274 data_time: 0.0226 memory: 27035 grad_norm: 3.7750 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8043 loss: 1.8043 2022/08/08 20:00:20 - mmengine - INFO - Epoch(train) [8][380/1879] lr: 2.0000e-02 eta: 1 day, 0:09:49 time: 1.0303 data_time: 0.0237 memory: 27035 grad_norm: 3.8729 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9878 loss: 1.9878 2022/08/08 20:00:41 - mmengine - INFO - Epoch(train) [8][400/1879] lr: 2.0000e-02 eta: 1 day, 0:09:21 time: 1.0283 data_time: 0.0227 memory: 27035 grad_norm: 3.8122 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7309 loss: 1.7309 2022/08/08 20:01:02 - mmengine - INFO - Epoch(train) [8][420/1879] lr: 2.0000e-02 eta: 1 day, 0:08:53 time: 1.0258 data_time: 0.0221 memory: 27035 grad_norm: 3.9121 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8387 loss: 1.8387 2022/08/08 20:01:22 - mmengine - INFO - Epoch(train) [8][440/1879] lr: 2.0000e-02 eta: 1 day, 0:08:25 time: 1.0264 data_time: 0.0228 memory: 27035 grad_norm: 3.7262 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8339 loss: 1.8339 2022/08/08 20:01:43 - mmengine - INFO - Epoch(train) [8][460/1879] lr: 2.0000e-02 eta: 1 day, 0:07:57 time: 1.0250 data_time: 0.0230 memory: 27035 grad_norm: 3.7927 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7015 loss: 1.7015 2022/08/08 20:02:03 - mmengine - INFO - Epoch(train) [8][480/1879] lr: 2.0000e-02 eta: 1 day, 0:07:29 time: 1.0333 data_time: 0.0241 memory: 27035 grad_norm: 3.7994 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8676 loss: 1.8676 2022/08/08 20:02:24 - mmengine - INFO - Epoch(train) [8][500/1879] lr: 2.0000e-02 eta: 1 day, 0:07:02 time: 1.0294 data_time: 0.0227 memory: 27035 grad_norm: 3.8110 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8921 loss: 1.8921 2022/08/08 20:02:44 - mmengine - INFO - Epoch(train) [8][520/1879] lr: 2.0000e-02 eta: 1 day, 0:06:34 time: 1.0299 data_time: 0.0230 memory: 27035 grad_norm: 3.7593 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7828 loss: 1.7828 2022/08/08 20:03:05 - mmengine - INFO - Epoch(train) [8][540/1879] lr: 2.0000e-02 eta: 1 day, 0:06:06 time: 1.0297 data_time: 0.0221 memory: 27035 grad_norm: 3.8427 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6320 loss: 1.6320 2022/08/08 20:03:26 - mmengine - INFO - Epoch(train) [8][560/1879] lr: 2.0000e-02 eta: 1 day, 0:05:39 time: 1.0296 data_time: 0.0226 memory: 27035 grad_norm: 3.8767 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7289 loss: 1.7289 2022/08/08 20:03:46 - mmengine - INFO - Epoch(train) [8][580/1879] lr: 2.0000e-02 eta: 1 day, 0:05:11 time: 1.0280 data_time: 0.0215 memory: 27035 grad_norm: 3.7819 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9306 loss: 1.9306 2022/08/08 20:04:07 - mmengine - INFO - Epoch(train) [8][600/1879] lr: 2.0000e-02 eta: 1 day, 0:04:43 time: 1.0292 data_time: 0.0223 memory: 27035 grad_norm: 3.7490 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7695 loss: 1.7695 2022/08/08 20:04:27 - mmengine - INFO - Epoch(train) [8][620/1879] lr: 2.0000e-02 eta: 1 day, 0:04:15 time: 1.0271 data_time: 0.0218 memory: 27035 grad_norm: 3.8990 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9197 loss: 1.9197 2022/08/08 20:04:48 - mmengine - INFO - Epoch(train) [8][640/1879] lr: 2.0000e-02 eta: 1 day, 0:03:47 time: 1.0266 data_time: 0.0228 memory: 27035 grad_norm: 3.8814 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9675 loss: 1.9675 2022/08/08 20:05:08 - mmengine - INFO - Epoch(train) [8][660/1879] lr: 2.0000e-02 eta: 1 day, 0:03:20 time: 1.0288 data_time: 0.0224 memory: 27035 grad_norm: 3.8052 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6660 loss: 1.6660 2022/08/08 20:05:29 - mmengine - INFO - Epoch(train) [8][680/1879] lr: 2.0000e-02 eta: 1 day, 0:02:54 time: 1.0471 data_time: 0.0299 memory: 27035 grad_norm: 3.8849 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7832 loss: 1.7832 2022/08/08 20:05:50 - mmengine - INFO - Epoch(train) [8][700/1879] lr: 2.0000e-02 eta: 1 day, 0:02:26 time: 1.0268 data_time: 0.0228 memory: 27035 grad_norm: 3.7813 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8270 loss: 1.8270 2022/08/08 20:06:11 - mmengine - INFO - Epoch(train) [8][720/1879] lr: 2.0000e-02 eta: 1 day, 0:01:59 time: 1.0305 data_time: 0.0230 memory: 27035 grad_norm: 3.7312 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7700 loss: 1.7700 2022/08/08 20:06:31 - mmengine - INFO - Epoch(train) [8][740/1879] lr: 2.0000e-02 eta: 1 day, 0:01:33 time: 1.0395 data_time: 0.0350 memory: 27035 grad_norm: 3.8645 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7695 loss: 1.7695 2022/08/08 20:06:52 - mmengine - INFO - Epoch(train) [8][760/1879] lr: 2.0000e-02 eta: 1 day, 0:01:06 time: 1.0330 data_time: 0.0248 memory: 27035 grad_norm: 3.8728 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8959 loss: 1.8959 2022/08/08 20:07:13 - mmengine - INFO - Epoch(train) [8][780/1879] lr: 2.0000e-02 eta: 1 day, 0:00:43 time: 1.0679 data_time: 0.0295 memory: 27035 grad_norm: 3.8116 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6850 loss: 1.6850 2022/08/08 20:07:34 - mmengine - INFO - Epoch(train) [8][800/1879] lr: 2.0000e-02 eta: 1 day, 0:00:15 time: 1.0321 data_time: 0.0226 memory: 27035 grad_norm: 3.8773 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8638 loss: 1.8638 2022/08/08 20:07:54 - mmengine - INFO - Epoch(train) [8][820/1879] lr: 2.0000e-02 eta: 23:59:48 time: 1.0262 data_time: 0.0239 memory: 27035 grad_norm: 3.8981 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8363 loss: 1.8363 2022/08/08 20:08:15 - mmengine - INFO - Epoch(train) [8][840/1879] lr: 2.0000e-02 eta: 23:59:20 time: 1.0269 data_time: 0.0237 memory: 27035 grad_norm: 3.8448 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0460 loss: 2.0460 2022/08/08 20:08:22 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 20:08:36 - mmengine - INFO - Epoch(train) [8][860/1879] lr: 2.0000e-02 eta: 23:58:52 time: 1.0273 data_time: 0.0239 memory: 27035 grad_norm: 3.7759 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7603 loss: 1.7603 2022/08/08 20:08:56 - mmengine - INFO - Epoch(train) [8][880/1879] lr: 2.0000e-02 eta: 23:58:25 time: 1.0273 data_time: 0.0234 memory: 27035 grad_norm: 3.8282 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7273 loss: 1.7273 2022/08/08 20:09:17 - mmengine - INFO - Epoch(train) [8][900/1879] lr: 2.0000e-02 eta: 23:57:57 time: 1.0300 data_time: 0.0238 memory: 27035 grad_norm: 3.8728 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9178 loss: 1.9178 2022/08/08 20:09:37 - mmengine - INFO - Epoch(train) [8][920/1879] lr: 2.0000e-02 eta: 23:57:30 time: 1.0266 data_time: 0.0235 memory: 27035 grad_norm: 3.8006 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7534 loss: 1.7534 2022/08/08 20:09:58 - mmengine - INFO - Epoch(train) [8][940/1879] lr: 2.0000e-02 eta: 23:57:02 time: 1.0275 data_time: 0.0234 memory: 27035 grad_norm: 3.8486 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8226 loss: 1.8226 2022/08/08 20:10:18 - mmengine - INFO - Epoch(train) [8][960/1879] lr: 2.0000e-02 eta: 23:56:35 time: 1.0319 data_time: 0.0225 memory: 27035 grad_norm: 3.8195 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9271 loss: 1.9271 2022/08/08 20:10:39 - mmengine - INFO - Epoch(train) [8][980/1879] lr: 2.0000e-02 eta: 23:56:08 time: 1.0315 data_time: 0.0240 memory: 27035 grad_norm: 3.7026 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7183 loss: 1.7183 2022/08/08 20:11:00 - mmengine - INFO - Epoch(train) [8][1000/1879] lr: 2.0000e-02 eta: 23:55:41 time: 1.0267 data_time: 0.0235 memory: 27035 grad_norm: 3.8805 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8560 loss: 1.8560 2022/08/08 20:11:20 - mmengine - INFO - Epoch(train) [8][1020/1879] lr: 2.0000e-02 eta: 23:55:13 time: 1.0274 data_time: 0.0240 memory: 27035 grad_norm: 3.7829 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8250 loss: 1.8250 2022/08/08 20:11:41 - mmengine - INFO - Epoch(train) [8][1040/1879] lr: 2.0000e-02 eta: 23:54:46 time: 1.0277 data_time: 0.0242 memory: 27035 grad_norm: 3.7926 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8860 loss: 1.8860 2022/08/08 20:12:01 - mmengine - INFO - Epoch(train) [8][1060/1879] lr: 2.0000e-02 eta: 23:54:19 time: 1.0289 data_time: 0.0240 memory: 27035 grad_norm: 3.8488 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8264 loss: 1.8264 2022/08/08 20:12:22 - mmengine - INFO - Epoch(train) [8][1080/1879] lr: 2.0000e-02 eta: 23:53:51 time: 1.0270 data_time: 0.0227 memory: 27035 grad_norm: 3.7395 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7971 loss: 1.7971 2022/08/08 20:12:42 - mmengine - INFO - Epoch(train) [8][1100/1879] lr: 2.0000e-02 eta: 23:53:24 time: 1.0278 data_time: 0.0241 memory: 27035 grad_norm: 3.8346 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8733 loss: 1.8733 2022/08/08 20:13:03 - mmengine - INFO - Epoch(train) [8][1120/1879] lr: 2.0000e-02 eta: 23:52:58 time: 1.0370 data_time: 0.0288 memory: 27035 grad_norm: 3.7607 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7731 loss: 1.7731 2022/08/08 20:13:24 - mmengine - INFO - Epoch(train) [8][1140/1879] lr: 2.0000e-02 eta: 23:52:30 time: 1.0278 data_time: 0.0234 memory: 27035 grad_norm: 3.7934 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7648 loss: 1.7648 2022/08/08 20:13:44 - mmengine - INFO - Epoch(train) [8][1160/1879] lr: 2.0000e-02 eta: 23:52:04 time: 1.0372 data_time: 0.0237 memory: 27035 grad_norm: 3.7956 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8218 loss: 1.8218 2022/08/08 20:14:05 - mmengine - INFO - Epoch(train) [8][1180/1879] lr: 2.0000e-02 eta: 23:51:37 time: 1.0296 data_time: 0.0231 memory: 27035 grad_norm: 3.8701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6927 loss: 1.6927 2022/08/08 20:14:26 - mmengine - INFO - Epoch(train) [8][1200/1879] lr: 2.0000e-02 eta: 23:51:10 time: 1.0317 data_time: 0.0269 memory: 27035 grad_norm: 3.8056 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7833 loss: 1.7833 2022/08/08 20:14:47 - mmengine - INFO - Epoch(train) [8][1220/1879] lr: 2.0000e-02 eta: 23:50:45 time: 1.0421 data_time: 0.0307 memory: 27035 grad_norm: 3.8176 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8211 loss: 1.8211 2022/08/08 20:15:07 - mmengine - INFO - Epoch(train) [8][1240/1879] lr: 2.0000e-02 eta: 23:50:17 time: 1.0285 data_time: 0.0240 memory: 27035 grad_norm: 3.7258 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7425 loss: 1.7425 2022/08/08 20:15:28 - mmengine - INFO - Epoch(train) [8][1260/1879] lr: 2.0000e-02 eta: 23:49:52 time: 1.0415 data_time: 0.0375 memory: 27035 grad_norm: 3.9110 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7637 loss: 1.7637 2022/08/08 20:15:49 - mmengine - INFO - Epoch(train) [8][1280/1879] lr: 2.0000e-02 eta: 23:49:25 time: 1.0289 data_time: 0.0226 memory: 27035 grad_norm: 3.9034 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8290 loss: 1.8290 2022/08/08 20:16:09 - mmengine - INFO - Epoch(train) [8][1300/1879] lr: 2.0000e-02 eta: 23:48:58 time: 1.0348 data_time: 0.0294 memory: 27035 grad_norm: 3.7695 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9411 loss: 1.9411 2022/08/08 20:16:30 - mmengine - INFO - Epoch(train) [8][1320/1879] lr: 2.0000e-02 eta: 23:48:32 time: 1.0332 data_time: 0.0284 memory: 27035 grad_norm: 3.7205 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8488 loss: 1.8488 2022/08/08 20:16:51 - mmengine - INFO - Epoch(train) [8][1340/1879] lr: 2.0000e-02 eta: 23:48:06 time: 1.0376 data_time: 0.0321 memory: 27035 grad_norm: 3.7409 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8179 loss: 1.8179 2022/08/08 20:17:11 - mmengine - INFO - Epoch(train) [8][1360/1879] lr: 2.0000e-02 eta: 23:47:39 time: 1.0288 data_time: 0.0242 memory: 27035 grad_norm: 3.6942 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5062 loss: 1.5062 2022/08/08 20:17:32 - mmengine - INFO - Epoch(train) [8][1380/1879] lr: 2.0000e-02 eta: 23:47:12 time: 1.0287 data_time: 0.0233 memory: 27035 grad_norm: 3.8230 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8240 loss: 1.8240 2022/08/08 20:17:52 - mmengine - INFO - Epoch(train) [8][1400/1879] lr: 2.0000e-02 eta: 23:46:45 time: 1.0272 data_time: 0.0232 memory: 27035 grad_norm: 3.7536 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8491 loss: 1.8491 2022/08/08 20:18:13 - mmengine - INFO - Epoch(train) [8][1420/1879] lr: 2.0000e-02 eta: 23:46:18 time: 1.0292 data_time: 0.0244 memory: 27035 grad_norm: 3.7879 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7593 loss: 1.7593 2022/08/08 20:18:34 - mmengine - INFO - Epoch(train) [8][1440/1879] lr: 2.0000e-02 eta: 23:45:51 time: 1.0319 data_time: 0.0245 memory: 27035 grad_norm: 3.8069 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8968 loss: 1.8968 2022/08/08 20:18:54 - mmengine - INFO - Epoch(train) [8][1460/1879] lr: 2.0000e-02 eta: 23:45:24 time: 1.0285 data_time: 0.0235 memory: 27035 grad_norm: 3.7985 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7800 loss: 1.7800 2022/08/08 20:19:15 - mmengine - INFO - Epoch(train) [8][1480/1879] lr: 2.0000e-02 eta: 23:44:58 time: 1.0329 data_time: 0.0236 memory: 27035 grad_norm: 3.7331 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9236 loss: 1.9236 2022/08/08 20:19:35 - mmengine - INFO - Epoch(train) [8][1500/1879] lr: 2.0000e-02 eta: 23:44:31 time: 1.0266 data_time: 0.0231 memory: 27035 grad_norm: 3.8305 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.7319 loss: 1.7319 2022/08/08 20:19:56 - mmengine - INFO - Epoch(train) [8][1520/1879] lr: 2.0000e-02 eta: 23:44:04 time: 1.0342 data_time: 0.0228 memory: 27035 grad_norm: 3.8157 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8541 loss: 1.8541 2022/08/08 20:20:17 - mmengine - INFO - Epoch(train) [8][1540/1879] lr: 2.0000e-02 eta: 23:43:39 time: 1.0437 data_time: 0.0268 memory: 27035 grad_norm: 3.6903 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8357 loss: 1.8357 2022/08/08 20:20:38 - mmengine - INFO - Epoch(train) [8][1560/1879] lr: 2.0000e-02 eta: 23:43:13 time: 1.0345 data_time: 0.0234 memory: 27035 grad_norm: 3.8433 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8296 loss: 1.8296 2022/08/08 20:20:58 - mmengine - INFO - Epoch(train) [8][1580/1879] lr: 2.0000e-02 eta: 23:42:47 time: 1.0336 data_time: 0.0241 memory: 27035 grad_norm: 3.7045 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8156 loss: 1.8156 2022/08/08 20:21:19 - mmengine - INFO - Epoch(train) [8][1600/1879] lr: 2.0000e-02 eta: 23:42:20 time: 1.0297 data_time: 0.0244 memory: 27035 grad_norm: 3.8013 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8924 loss: 1.8924 2022/08/08 20:21:39 - mmengine - INFO - Epoch(train) [8][1620/1879] lr: 2.0000e-02 eta: 23:41:53 time: 1.0282 data_time: 0.0236 memory: 27035 grad_norm: 3.7517 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6471 loss: 1.6471 2022/08/08 20:22:00 - mmengine - INFO - Epoch(train) [8][1640/1879] lr: 2.0000e-02 eta: 23:41:27 time: 1.0326 data_time: 0.0261 memory: 27035 grad_norm: 3.7349 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7621 loss: 1.7621 2022/08/08 20:22:21 - mmengine - INFO - Epoch(train) [8][1660/1879] lr: 2.0000e-02 eta: 23:41:00 time: 1.0291 data_time: 0.0238 memory: 27035 grad_norm: 3.8461 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9160 loss: 1.9160 2022/08/08 20:22:41 - mmengine - INFO - Epoch(train) [8][1680/1879] lr: 2.0000e-02 eta: 23:40:34 time: 1.0355 data_time: 0.0230 memory: 27035 grad_norm: 3.8100 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7601 loss: 1.7601 2022/08/08 20:23:02 - mmengine - INFO - Epoch(train) [8][1700/1879] lr: 2.0000e-02 eta: 23:40:07 time: 1.0309 data_time: 0.0246 memory: 27035 grad_norm: 3.7286 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7257 loss: 1.7257 2022/08/08 20:23:23 - mmengine - INFO - Epoch(train) [8][1720/1879] lr: 2.0000e-02 eta: 23:39:41 time: 1.0304 data_time: 0.0229 memory: 27035 grad_norm: 3.8028 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8435 loss: 1.8435 2022/08/08 20:23:43 - mmengine - INFO - Epoch(train) [8][1740/1879] lr: 2.0000e-02 eta: 23:39:14 time: 1.0303 data_time: 0.0229 memory: 27035 grad_norm: 3.8017 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7637 loss: 1.7637 2022/08/08 20:24:04 - mmengine - INFO - Epoch(train) [8][1760/1879] lr: 2.0000e-02 eta: 23:38:48 time: 1.0274 data_time: 0.0247 memory: 27035 grad_norm: 3.8351 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6111 loss: 1.6111 2022/08/08 20:24:24 - mmengine - INFO - Epoch(train) [8][1780/1879] lr: 2.0000e-02 eta: 23:38:21 time: 1.0300 data_time: 0.0239 memory: 27035 grad_norm: 3.8511 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6802 loss: 1.6802 2022/08/08 20:24:45 - mmengine - INFO - Epoch(train) [8][1800/1879] lr: 2.0000e-02 eta: 23:37:54 time: 1.0257 data_time: 0.0229 memory: 27035 grad_norm: 3.8811 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7744 loss: 1.7744 2022/08/08 20:25:06 - mmengine - INFO - Epoch(train) [8][1820/1879] lr: 2.0000e-02 eta: 23:37:28 time: 1.0362 data_time: 0.0238 memory: 27035 grad_norm: 3.7703 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8351 loss: 1.8351 2022/08/08 20:25:28 - mmengine - INFO - Epoch(train) [8][1840/1879] lr: 2.0000e-02 eta: 23:37:11 time: 1.1155 data_time: 0.1104 memory: 27035 grad_norm: 3.7755 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0413 loss: 2.0413 2022/08/08 20:25:35 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 20:25:49 - mmengine - INFO - Epoch(train) [8][1860/1879] lr: 2.0000e-02 eta: 23:36:45 time: 1.0323 data_time: 0.0230 memory: 27035 grad_norm: 3.7004 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7683 loss: 1.7683 2022/08/08 20:26:07 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 20:26:07 - mmengine - INFO - Epoch(train) [8][1879/1879] lr: 2.0000e-02 eta: 23:36:45 time: 0.9970 data_time: 0.0206 memory: 27035 grad_norm: 3.8381 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.8952 loss: 1.8952 2022/08/08 20:26:24 - mmengine - INFO - Epoch(val) [8][20/155] eta: 0:01:52 time: 0.8319 data_time: 0.5596 memory: 3270 2022/08/08 20:26:35 - mmengine - INFO - Epoch(val) [8][40/155] eta: 0:01:01 time: 0.5329 data_time: 0.2611 memory: 3270 2022/08/08 20:26:49 - mmengine - INFO - Epoch(val) [8][60/155] eta: 0:01:05 time: 0.6908 data_time: 0.4203 memory: 3270 2022/08/08 20:27:01 - mmengine - INFO - Epoch(val) [8][80/155] eta: 0:00:46 time: 0.6235 data_time: 0.3546 memory: 3270 2022/08/08 20:27:16 - mmengine - INFO - Epoch(val) [8][100/155] eta: 0:00:41 time: 0.7579 data_time: 0.4888 memory: 3270 2022/08/08 20:27:29 - mmengine - INFO - Epoch(val) [8][120/155] eta: 0:00:22 time: 0.6532 data_time: 0.3804 memory: 3270 2022/08/08 20:27:48 - mmengine - INFO - Epoch(val) [8][140/155] eta: 0:00:13 time: 0.9115 data_time: 0.6476 memory: 3270 2022/08/08 20:28:03 - mmengine - INFO - Epoch(val) [8][155/155] acc/top1: 0.5753 acc/top5: 0.8185 acc/mean1: 0.5748 2022/08/08 20:28:03 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_8.pth is removed 2022/08/08 20:28:04 - mmengine - INFO - The best checkpoint with 0.5753 acc/top1 at 9 epoch is saved to best_acc/top1_epoch_9.pth. 2022/08/08 20:28:29 - mmengine - INFO - Epoch(train) [9][20/1879] lr: 2.0000e-02 eta: 23:34:35 time: 1.2683 data_time: 0.2418 memory: 27035 grad_norm: 3.7065 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8874 loss: 1.8874 2022/08/08 20:28:50 - mmengine - INFO - Epoch(train) [9][40/1879] lr: 2.0000e-02 eta: 23:34:10 time: 1.0360 data_time: 0.0226 memory: 27035 grad_norm: 3.7646 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7111 loss: 1.7111 2022/08/08 20:29:11 - mmengine - INFO - Epoch(train) [9][60/1879] lr: 2.0000e-02 eta: 23:33:43 time: 1.0301 data_time: 0.0220 memory: 27035 grad_norm: 3.7681 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7977 loss: 1.7977 2022/08/08 20:29:31 - mmengine - INFO - Epoch(train) [9][80/1879] lr: 2.0000e-02 eta: 23:33:17 time: 1.0289 data_time: 0.0209 memory: 27035 grad_norm: 3.7325 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4763 loss: 1.4763 2022/08/08 20:29:52 - mmengine - INFO - Epoch(train) [9][100/1879] lr: 2.0000e-02 eta: 23:32:50 time: 1.0275 data_time: 0.0230 memory: 27035 grad_norm: 3.6916 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8150 loss: 1.8150 2022/08/08 20:30:12 - mmengine - INFO - Epoch(train) [9][120/1879] lr: 2.0000e-02 eta: 23:32:24 time: 1.0323 data_time: 0.0242 memory: 27035 grad_norm: 3.7315 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7665 loss: 1.7665 2022/08/08 20:30:33 - mmengine - INFO - Epoch(train) [9][140/1879] lr: 2.0000e-02 eta: 23:31:59 time: 1.0347 data_time: 0.0250 memory: 27035 grad_norm: 3.7946 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7386 loss: 1.7386 2022/08/08 20:30:54 - mmengine - INFO - Epoch(train) [9][160/1879] lr: 2.0000e-02 eta: 23:31:32 time: 1.0269 data_time: 0.0232 memory: 27035 grad_norm: 3.7503 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8305 loss: 1.8305 2022/08/08 20:31:14 - mmengine - INFO - Epoch(train) [9][180/1879] lr: 2.0000e-02 eta: 23:31:06 time: 1.0260 data_time: 0.0235 memory: 27035 grad_norm: 3.6557 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9033 loss: 1.9033 2022/08/08 20:31:35 - mmengine - INFO - Epoch(train) [9][200/1879] lr: 2.0000e-02 eta: 23:30:39 time: 1.0292 data_time: 0.0227 memory: 27035 grad_norm: 3.7073 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7420 loss: 1.7420 2022/08/08 20:31:55 - mmengine - INFO - Epoch(train) [9][220/1879] lr: 2.0000e-02 eta: 23:30:13 time: 1.0256 data_time: 0.0220 memory: 27035 grad_norm: 3.8185 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8972 loss: 1.8972 2022/08/08 20:32:16 - mmengine - INFO - Epoch(train) [9][240/1879] lr: 2.0000e-02 eta: 23:29:46 time: 1.0294 data_time: 0.0232 memory: 27035 grad_norm: 3.7249 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6954 loss: 1.6954 2022/08/08 20:32:36 - mmengine - INFO - Epoch(train) [9][260/1879] lr: 2.0000e-02 eta: 23:29:20 time: 1.0272 data_time: 0.0234 memory: 27035 grad_norm: 3.7808 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8323 loss: 1.8323 2022/08/08 20:32:57 - mmengine - INFO - Epoch(train) [9][280/1879] lr: 2.0000e-02 eta: 23:28:54 time: 1.0274 data_time: 0.0233 memory: 27035 grad_norm: 3.7277 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6533 loss: 1.6533 2022/08/08 20:33:17 - mmengine - INFO - Epoch(train) [9][300/1879] lr: 2.0000e-02 eta: 23:28:27 time: 1.0254 data_time: 0.0239 memory: 27035 grad_norm: 3.6922 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6095 loss: 1.6095 2022/08/08 20:33:38 - mmengine - INFO - Epoch(train) [9][320/1879] lr: 2.0000e-02 eta: 23:28:01 time: 1.0275 data_time: 0.0225 memory: 27035 grad_norm: 3.8685 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7933 loss: 1.7933 2022/08/08 20:33:58 - mmengine - INFO - Epoch(train) [9][340/1879] lr: 2.0000e-02 eta: 23:27:34 time: 1.0275 data_time: 0.0230 memory: 27035 grad_norm: 3.7576 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6367 loss: 1.6367 2022/08/08 20:34:19 - mmengine - INFO - Epoch(train) [9][360/1879] lr: 2.0000e-02 eta: 23:27:08 time: 1.0279 data_time: 0.0231 memory: 27035 grad_norm: 3.8196 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8042 loss: 1.8042 2022/08/08 20:34:40 - mmengine - INFO - Epoch(train) [9][380/1879] lr: 2.0000e-02 eta: 23:26:42 time: 1.0262 data_time: 0.0225 memory: 27035 grad_norm: 3.7703 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6886 loss: 1.6886 2022/08/08 20:35:00 - mmengine - INFO - Epoch(train) [9][400/1879] lr: 2.0000e-02 eta: 23:26:15 time: 1.0272 data_time: 0.0230 memory: 27035 grad_norm: 3.8818 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6077 loss: 1.6077 2022/08/08 20:35:21 - mmengine - INFO - Epoch(train) [9][420/1879] lr: 2.0000e-02 eta: 23:25:50 time: 1.0343 data_time: 0.0276 memory: 27035 grad_norm: 3.7749 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8295 loss: 1.8295 2022/08/08 20:35:41 - mmengine - INFO - Epoch(train) [9][440/1879] lr: 2.0000e-02 eta: 23:25:23 time: 1.0263 data_time: 0.0207 memory: 27035 grad_norm: 3.7917 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8329 loss: 1.8329 2022/08/08 20:36:02 - mmengine - INFO - Epoch(train) [9][460/1879] lr: 2.0000e-02 eta: 23:24:57 time: 1.0253 data_time: 0.0235 memory: 27035 grad_norm: 3.7830 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7757 loss: 1.7757 2022/08/08 20:36:22 - mmengine - INFO - Epoch(train) [9][480/1879] lr: 2.0000e-02 eta: 23:24:30 time: 1.0239 data_time: 0.0229 memory: 27035 grad_norm: 3.7845 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7891 loss: 1.7891 2022/08/08 20:36:43 - mmengine - INFO - Epoch(train) [9][500/1879] lr: 2.0000e-02 eta: 23:24:04 time: 1.0253 data_time: 0.0245 memory: 27035 grad_norm: 3.7025 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7584 loss: 1.7584 2022/08/08 20:37:03 - mmengine - INFO - Epoch(train) [9][520/1879] lr: 2.0000e-02 eta: 23:23:38 time: 1.0274 data_time: 0.0233 memory: 27035 grad_norm: 3.7732 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6189 loss: 1.6189 2022/08/08 20:37:25 - mmengine - INFO - Epoch(train) [9][540/1879] lr: 2.0000e-02 eta: 23:23:15 time: 1.0582 data_time: 0.0486 memory: 27035 grad_norm: 3.7803 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7408 loss: 1.7408 2022/08/08 20:37:45 - mmengine - INFO - Epoch(train) [9][560/1879] lr: 2.0000e-02 eta: 23:22:48 time: 1.0254 data_time: 0.0229 memory: 27035 grad_norm: 3.8722 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7154 loss: 1.7154 2022/08/08 20:38:06 - mmengine - INFO - Epoch(train) [9][580/1879] lr: 2.0000e-02 eta: 23:22:22 time: 1.0256 data_time: 0.0233 memory: 27035 grad_norm: 3.8206 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6401 loss: 1.6401 2022/08/08 20:38:26 - mmengine - INFO - Epoch(train) [9][600/1879] lr: 2.0000e-02 eta: 23:21:56 time: 1.0351 data_time: 0.0325 memory: 27035 grad_norm: 3.7109 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6853 loss: 1.6853 2022/08/08 20:38:47 - mmengine - INFO - Epoch(train) [9][620/1879] lr: 2.0000e-02 eta: 23:21:30 time: 1.0268 data_time: 0.0222 memory: 27035 grad_norm: 3.7025 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7186 loss: 1.7186 2022/08/08 20:39:07 - mmengine - INFO - Epoch(train) [9][640/1879] lr: 2.0000e-02 eta: 23:21:04 time: 1.0261 data_time: 0.0227 memory: 27035 grad_norm: 3.8248 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6261 loss: 1.6261 2022/08/08 20:39:28 - mmengine - INFO - Epoch(train) [9][660/1879] lr: 2.0000e-02 eta: 23:20:38 time: 1.0282 data_time: 0.0245 memory: 27035 grad_norm: 3.8401 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9168 loss: 1.9168 2022/08/08 20:39:48 - mmengine - INFO - Epoch(train) [9][680/1879] lr: 2.0000e-02 eta: 23:20:12 time: 1.0267 data_time: 0.0236 memory: 27035 grad_norm: 3.7799 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7769 loss: 1.7769 2022/08/08 20:40:09 - mmengine - INFO - Epoch(train) [9][700/1879] lr: 2.0000e-02 eta: 23:19:46 time: 1.0307 data_time: 0.0228 memory: 27035 grad_norm: 3.8691 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7569 loss: 1.7569 2022/08/08 20:40:30 - mmengine - INFO - Epoch(train) [9][720/1879] lr: 2.0000e-02 eta: 23:19:22 time: 1.0512 data_time: 0.0267 memory: 27035 grad_norm: 3.8178 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7997 loss: 1.7997 2022/08/08 20:40:51 - mmengine - INFO - Epoch(train) [9][740/1879] lr: 2.0000e-02 eta: 23:18:56 time: 1.0280 data_time: 0.0230 memory: 27035 grad_norm: 3.7689 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7657 loss: 1.7657 2022/08/08 20:41:11 - mmengine - INFO - Epoch(train) [9][760/1879] lr: 2.0000e-02 eta: 23:18:30 time: 1.0269 data_time: 0.0238 memory: 27035 grad_norm: 3.8043 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8681 loss: 1.8681 2022/08/08 20:41:32 - mmengine - INFO - Epoch(train) [9][780/1879] lr: 2.0000e-02 eta: 23:18:05 time: 1.0343 data_time: 0.0297 memory: 27035 grad_norm: 3.6817 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6998 loss: 1.6998 2022/08/08 20:41:52 - mmengine - INFO - Epoch(train) [9][800/1879] lr: 2.0000e-02 eta: 23:17:39 time: 1.0270 data_time: 0.0235 memory: 27035 grad_norm: 3.6946 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9089 loss: 1.9089 2022/08/08 20:42:13 - mmengine - INFO - Epoch(train) [9][820/1879] lr: 2.0000e-02 eta: 23:17:13 time: 1.0294 data_time: 0.0225 memory: 27035 grad_norm: 3.6888 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8158 loss: 1.8158 2022/08/08 20:42:34 - mmengine - INFO - Epoch(train) [9][840/1879] lr: 2.0000e-02 eta: 23:16:47 time: 1.0291 data_time: 0.0226 memory: 27035 grad_norm: 3.6762 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6601 loss: 1.6601 2022/08/08 20:42:54 - mmengine - INFO - Epoch(train) [9][860/1879] lr: 2.0000e-02 eta: 23:16:21 time: 1.0314 data_time: 0.0225 memory: 27035 grad_norm: 3.8196 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9584 loss: 1.9584 2022/08/08 20:43:15 - mmengine - INFO - Epoch(train) [9][880/1879] lr: 2.0000e-02 eta: 23:15:56 time: 1.0276 data_time: 0.0231 memory: 27035 grad_norm: 3.7606 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8745 loss: 1.8745 2022/08/08 20:43:35 - mmengine - INFO - Epoch(train) [9][900/1879] lr: 2.0000e-02 eta: 23:15:30 time: 1.0311 data_time: 0.0235 memory: 27035 grad_norm: 3.7569 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5518 loss: 1.5518 2022/08/08 20:43:56 - mmengine - INFO - Epoch(train) [9][920/1879] lr: 2.0000e-02 eta: 23:15:04 time: 1.0263 data_time: 0.0224 memory: 27035 grad_norm: 3.6639 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5208 loss: 1.5208 2022/08/08 20:44:16 - mmengine - INFO - Epoch(train) [9][940/1879] lr: 2.0000e-02 eta: 23:14:38 time: 1.0269 data_time: 0.0233 memory: 27035 grad_norm: 3.7444 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5944 loss: 1.5944 2022/08/08 20:44:37 - mmengine - INFO - Epoch(train) [9][960/1879] lr: 2.0000e-02 eta: 23:14:12 time: 1.0294 data_time: 0.0229 memory: 27035 grad_norm: 3.7620 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6205 loss: 1.6205 2022/08/08 20:44:45 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 20:44:58 - mmengine - INFO - Epoch(train) [9][980/1879] lr: 2.0000e-02 eta: 23:13:46 time: 1.0280 data_time: 0.0241 memory: 27035 grad_norm: 3.7095 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7234 loss: 1.7234 2022/08/08 20:45:18 - mmengine - INFO - Epoch(train) [9][1000/1879] lr: 2.0000e-02 eta: 23:13:21 time: 1.0303 data_time: 0.0244 memory: 27035 grad_norm: 3.7655 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7685 loss: 1.7685 2022/08/08 20:45:39 - mmengine - INFO - Epoch(train) [9][1020/1879] lr: 2.0000e-02 eta: 23:12:55 time: 1.0262 data_time: 0.0231 memory: 27035 grad_norm: 3.7161 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7119 loss: 1.7119 2022/08/08 20:45:59 - mmengine - INFO - Epoch(train) [9][1040/1879] lr: 2.0000e-02 eta: 23:12:29 time: 1.0263 data_time: 0.0224 memory: 27035 grad_norm: 3.6715 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0053 loss: 2.0053 2022/08/08 20:46:20 - mmengine - INFO - Epoch(train) [9][1060/1879] lr: 2.0000e-02 eta: 23:12:03 time: 1.0319 data_time: 0.0230 memory: 27035 grad_norm: 3.7193 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7207 loss: 1.7207 2022/08/08 20:46:40 - mmengine - INFO - Epoch(train) [9][1080/1879] lr: 2.0000e-02 eta: 23:11:38 time: 1.0278 data_time: 0.0237 memory: 27035 grad_norm: 3.7755 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7709 loss: 1.7709 2022/08/08 20:47:01 - mmengine - INFO - Epoch(train) [9][1100/1879] lr: 2.0000e-02 eta: 23:11:12 time: 1.0258 data_time: 0.0236 memory: 27035 grad_norm: 3.6427 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7181 loss: 1.7181 2022/08/08 20:47:22 - mmengine - INFO - Epoch(train) [9][1120/1879] lr: 2.0000e-02 eta: 23:10:47 time: 1.0374 data_time: 0.0237 memory: 27035 grad_norm: 3.7094 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6449 loss: 1.6449 2022/08/08 20:47:42 - mmengine - INFO - Epoch(train) [9][1140/1879] lr: 2.0000e-02 eta: 23:10:21 time: 1.0290 data_time: 0.0236 memory: 27035 grad_norm: 3.7309 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7450 loss: 1.7450 2022/08/08 20:48:03 - mmengine - INFO - Epoch(train) [9][1160/1879] lr: 2.0000e-02 eta: 23:09:55 time: 1.0285 data_time: 0.0263 memory: 27035 grad_norm: 3.6564 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8082 loss: 1.8082 2022/08/08 20:48:24 - mmengine - INFO - Epoch(train) [9][1180/1879] lr: 2.0000e-02 eta: 23:09:30 time: 1.0310 data_time: 0.0239 memory: 27035 grad_norm: 3.6979 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7623 loss: 1.7623 2022/08/08 20:48:44 - mmengine - INFO - Epoch(train) [9][1200/1879] lr: 2.0000e-02 eta: 23:09:04 time: 1.0265 data_time: 0.0230 memory: 27035 grad_norm: 3.8199 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0380 loss: 2.0380 2022/08/08 20:49:05 - mmengine - INFO - Epoch(train) [9][1220/1879] lr: 2.0000e-02 eta: 23:08:39 time: 1.0293 data_time: 0.0224 memory: 27035 grad_norm: 3.8039 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7960 loss: 1.7960 2022/08/08 20:49:25 - mmengine - INFO - Epoch(train) [9][1240/1879] lr: 2.0000e-02 eta: 23:08:13 time: 1.0253 data_time: 0.0231 memory: 27035 grad_norm: 3.7862 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.8408 loss: 1.8408 2022/08/08 20:49:46 - mmengine - INFO - Epoch(train) [9][1260/1879] lr: 2.0000e-02 eta: 23:07:47 time: 1.0291 data_time: 0.0238 memory: 27035 grad_norm: 3.7177 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7247 loss: 1.7247 2022/08/08 20:50:06 - mmengine - INFO - Epoch(train) [9][1280/1879] lr: 2.0000e-02 eta: 23:07:21 time: 1.0281 data_time: 0.0249 memory: 27035 grad_norm: 3.7041 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7725 loss: 1.7725 2022/08/08 20:50:28 - mmengine - INFO - Epoch(train) [9][1300/1879] lr: 2.0000e-02 eta: 23:07:02 time: 1.0987 data_time: 0.0938 memory: 27035 grad_norm: 3.7557 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6010 loss: 1.6010 2022/08/08 20:50:49 - mmengine - INFO - Epoch(train) [9][1320/1879] lr: 2.0000e-02 eta: 23:06:37 time: 1.0294 data_time: 0.0236 memory: 27035 grad_norm: 3.7328 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6255 loss: 1.6255 2022/08/08 20:51:09 - mmengine - INFO - Epoch(train) [9][1340/1879] lr: 2.0000e-02 eta: 23:06:11 time: 1.0250 data_time: 0.0241 memory: 27035 grad_norm: 3.7218 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6705 loss: 1.6705 2022/08/08 20:51:30 - mmengine - INFO - Epoch(train) [9][1360/1879] lr: 2.0000e-02 eta: 23:05:45 time: 1.0275 data_time: 0.0230 memory: 27035 grad_norm: 3.8539 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9223 loss: 1.9223 2022/08/08 20:51:50 - mmengine - INFO - Epoch(train) [9][1380/1879] lr: 2.0000e-02 eta: 23:05:20 time: 1.0257 data_time: 0.0244 memory: 27035 grad_norm: 3.7446 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5555 loss: 1.5555 2022/08/08 20:52:11 - mmengine - INFO - Epoch(train) [9][1400/1879] lr: 2.0000e-02 eta: 23:04:54 time: 1.0319 data_time: 0.0239 memory: 27035 grad_norm: 3.8777 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8123 loss: 1.8123 2022/08/08 20:52:32 - mmengine - INFO - Epoch(train) [9][1420/1879] lr: 2.0000e-02 eta: 23:04:29 time: 1.0334 data_time: 0.0305 memory: 27035 grad_norm: 3.7859 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7624 loss: 1.7624 2022/08/08 20:52:52 - mmengine - INFO - Epoch(train) [9][1440/1879] lr: 2.0000e-02 eta: 23:04:04 time: 1.0331 data_time: 0.0237 memory: 27035 grad_norm: 3.8276 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6640 loss: 1.6640 2022/08/08 20:53:13 - mmengine - INFO - Epoch(train) [9][1460/1879] lr: 2.0000e-02 eta: 23:03:39 time: 1.0284 data_time: 0.0234 memory: 27035 grad_norm: 3.8196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7631 loss: 1.7631 2022/08/08 20:53:34 - mmengine - INFO - Epoch(train) [9][1480/1879] lr: 2.0000e-02 eta: 23:03:13 time: 1.0258 data_time: 0.0230 memory: 27035 grad_norm: 3.7290 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6129 loss: 1.6129 2022/08/08 20:53:54 - mmengine - INFO - Epoch(train) [9][1500/1879] lr: 2.0000e-02 eta: 23:02:47 time: 1.0275 data_time: 0.0241 memory: 27035 grad_norm: 3.7230 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5787 loss: 1.5787 2022/08/08 20:54:15 - mmengine - INFO - Epoch(train) [9][1520/1879] lr: 2.0000e-02 eta: 23:02:22 time: 1.0265 data_time: 0.0238 memory: 27035 grad_norm: 3.8376 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8291 loss: 1.8291 2022/08/08 20:54:35 - mmengine - INFO - Epoch(train) [9][1540/1879] lr: 2.0000e-02 eta: 23:01:56 time: 1.0304 data_time: 0.0228 memory: 27035 grad_norm: 3.8332 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9127 loss: 1.9127 2022/08/08 20:54:56 - mmengine - INFO - Epoch(train) [9][1560/1879] lr: 2.0000e-02 eta: 23:01:31 time: 1.0287 data_time: 0.0228 memory: 27035 grad_norm: 3.8418 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0141 loss: 2.0141 2022/08/08 20:55:16 - mmengine - INFO - Epoch(train) [9][1580/1879] lr: 2.0000e-02 eta: 23:01:06 time: 1.0321 data_time: 0.0241 memory: 27035 grad_norm: 3.7190 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8073 loss: 1.8073 2022/08/08 20:55:37 - mmengine - INFO - Epoch(train) [9][1600/1879] lr: 2.0000e-02 eta: 23:00:41 time: 1.0298 data_time: 0.0212 memory: 27035 grad_norm: 3.6858 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6925 loss: 1.6925 2022/08/08 20:55:58 - mmengine - INFO - Epoch(train) [9][1620/1879] lr: 2.0000e-02 eta: 23:00:15 time: 1.0251 data_time: 0.0232 memory: 27035 grad_norm: 3.7720 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6450 loss: 1.6450 2022/08/08 20:56:18 - mmengine - INFO - Epoch(train) [9][1640/1879] lr: 2.0000e-02 eta: 22:59:49 time: 1.0286 data_time: 0.0233 memory: 27035 grad_norm: 3.7778 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7805 loss: 1.7805 2022/08/08 20:56:39 - mmengine - INFO - Epoch(train) [9][1660/1879] lr: 2.0000e-02 eta: 22:59:24 time: 1.0257 data_time: 0.0223 memory: 27035 grad_norm: 3.6988 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8216 loss: 1.8216 2022/08/08 20:56:59 - mmengine - INFO - Epoch(train) [9][1680/1879] lr: 2.0000e-02 eta: 22:58:59 time: 1.0324 data_time: 0.0228 memory: 27035 grad_norm: 3.7375 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6685 loss: 1.6685 2022/08/08 20:57:21 - mmengine - INFO - Epoch(train) [9][1700/1879] lr: 2.0000e-02 eta: 22:58:38 time: 1.0735 data_time: 0.0233 memory: 27035 grad_norm: 3.8064 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7907 loss: 1.7907 2022/08/08 20:57:41 - mmengine - INFO - Epoch(train) [9][1720/1879] lr: 2.0000e-02 eta: 22:58:12 time: 1.0289 data_time: 0.0225 memory: 27035 grad_norm: 3.7913 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.6872 loss: 1.6872 2022/08/08 20:58:02 - mmengine - INFO - Epoch(train) [9][1740/1879] lr: 2.0000e-02 eta: 22:57:46 time: 1.0241 data_time: 0.0226 memory: 27035 grad_norm: 3.6984 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7840 loss: 1.7840 2022/08/08 20:58:22 - mmengine - INFO - Epoch(train) [9][1760/1879] lr: 2.0000e-02 eta: 22:57:21 time: 1.0323 data_time: 0.0224 memory: 27035 grad_norm: 3.6164 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6379 loss: 1.6379 2022/08/08 20:58:43 - mmengine - INFO - Epoch(train) [9][1780/1879] lr: 2.0000e-02 eta: 22:56:56 time: 1.0253 data_time: 0.0236 memory: 27035 grad_norm: 3.7456 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8996 loss: 1.8996 2022/08/08 20:59:04 - mmengine - INFO - Epoch(train) [9][1800/1879] lr: 2.0000e-02 eta: 22:56:31 time: 1.0286 data_time: 0.0228 memory: 27035 grad_norm: 3.7836 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8406 loss: 1.8406 2022/08/08 20:59:24 - mmengine - INFO - Epoch(train) [9][1820/1879] lr: 2.0000e-02 eta: 22:56:05 time: 1.0271 data_time: 0.0234 memory: 27035 grad_norm: 3.9255 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8184 loss: 1.8184 2022/08/08 20:59:45 - mmengine - INFO - Epoch(train) [9][1840/1879] lr: 2.0000e-02 eta: 22:55:40 time: 1.0329 data_time: 0.0237 memory: 27035 grad_norm: 3.7336 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8470 loss: 1.8470 2022/08/08 21:00:05 - mmengine - INFO - Epoch(train) [9][1860/1879] lr: 2.0000e-02 eta: 22:55:15 time: 1.0242 data_time: 0.0227 memory: 27035 grad_norm: 3.7189 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6817 loss: 1.6817 2022/08/08 21:00:25 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 21:00:25 - mmengine - INFO - Epoch(train) [9][1879/1879] lr: 2.0000e-02 eta: 22:55:15 time: 1.0253 data_time: 0.0230 memory: 27035 grad_norm: 3.8567 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.8672 loss: 1.8672 2022/08/08 21:00:25 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/08/08 21:00:45 - mmengine - INFO - Epoch(val) [9][20/155] eta: 0:02:02 time: 0.9071 data_time: 0.6339 memory: 3270 2022/08/08 21:00:55 - mmengine - INFO - Epoch(val) [9][40/155] eta: 0:01:00 time: 0.5240 data_time: 0.2529 memory: 3270 2022/08/08 21:01:11 - mmengine - INFO - Epoch(val) [9][60/155] eta: 0:01:13 time: 0.7703 data_time: 0.5002 memory: 3270 2022/08/08 21:01:26 - mmengine - INFO - Epoch(val) [9][80/155] eta: 0:00:59 time: 0.7939 data_time: 0.5256 memory: 3270 2022/08/08 21:01:37 - mmengine - INFO - Epoch(val) [9][100/155] eta: 0:00:28 time: 0.5198 data_time: 0.2514 memory: 3270 2022/08/08 21:01:51 - mmengine - INFO - Epoch(val) [9][120/155] eta: 0:00:24 time: 0.7028 data_time: 0.4324 memory: 3270 2022/08/08 21:01:59 - mmengine - INFO - Epoch(val) [9][140/155] eta: 0:00:05 time: 0.3793 data_time: 0.1194 memory: 3270 2022/08/08 21:02:09 - mmengine - INFO - Epoch(val) [9][155/155] acc/top1: 0.5903 acc/top5: 0.8307 acc/mean1: 0.5901 2022/08/08 21:02:09 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_9.pth is removed 2022/08/08 21:02:10 - mmengine - INFO - The best checkpoint with 0.5903 acc/top1 at 10 epoch is saved to best_acc/top1_epoch_10.pth. 2022/08/08 21:02:36 - mmengine - INFO - Epoch(train) [10][20/1879] lr: 2.0000e-02 eta: 22:53:18 time: 1.2715 data_time: 0.2532 memory: 27035 grad_norm: 3.6714 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6390 loss: 1.6390 2022/08/08 21:02:56 - mmengine - INFO - Epoch(train) [10][40/1879] lr: 2.0000e-02 eta: 22:52:53 time: 1.0298 data_time: 0.0233 memory: 27035 grad_norm: 3.6322 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6317 loss: 1.6317 2022/08/08 21:03:17 - mmengine - INFO - Epoch(train) [10][60/1879] lr: 2.0000e-02 eta: 22:52:28 time: 1.0251 data_time: 0.0229 memory: 27035 grad_norm: 3.7511 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6201 loss: 1.6201 2022/08/08 21:03:37 - mmengine - INFO - Epoch(train) [10][80/1879] lr: 2.0000e-02 eta: 22:52:03 time: 1.0280 data_time: 0.0225 memory: 27035 grad_norm: 3.6790 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6133 loss: 1.6133 2022/08/08 21:03:47 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 21:03:58 - mmengine - INFO - Epoch(train) [10][100/1879] lr: 2.0000e-02 eta: 22:51:38 time: 1.0361 data_time: 0.0215 memory: 27035 grad_norm: 3.7398 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5691 loss: 1.5691 2022/08/08 21:04:18 - mmengine - INFO - Epoch(train) [10][120/1879] lr: 2.0000e-02 eta: 22:51:13 time: 1.0272 data_time: 0.0221 memory: 27035 grad_norm: 3.7380 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7306 loss: 1.7306 2022/08/08 21:04:39 - mmengine - INFO - Epoch(train) [10][140/1879] lr: 2.0000e-02 eta: 22:50:48 time: 1.0297 data_time: 0.0225 memory: 27035 grad_norm: 3.7011 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6323 loss: 1.6323 2022/08/08 21:05:00 - mmengine - INFO - Epoch(train) [10][160/1879] lr: 2.0000e-02 eta: 22:50:23 time: 1.0261 data_time: 0.0223 memory: 27035 grad_norm: 3.7240 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5357 loss: 1.5357 2022/08/08 21:05:20 - mmengine - INFO - Epoch(train) [10][180/1879] lr: 2.0000e-02 eta: 22:49:59 time: 1.0431 data_time: 0.0254 memory: 27035 grad_norm: 3.8074 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7051 loss: 1.7051 2022/08/08 21:05:41 - mmengine - INFO - Epoch(train) [10][200/1879] lr: 2.0000e-02 eta: 22:49:34 time: 1.0303 data_time: 0.0226 memory: 27035 grad_norm: 3.7182 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7121 loss: 1.7121 2022/08/08 21:06:02 - mmengine - INFO - Epoch(train) [10][220/1879] lr: 2.0000e-02 eta: 22:49:09 time: 1.0255 data_time: 0.0228 memory: 27035 grad_norm: 3.8157 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7951 loss: 1.7951 2022/08/08 21:06:22 - mmengine - INFO - Epoch(train) [10][240/1879] lr: 2.0000e-02 eta: 22:48:44 time: 1.0283 data_time: 0.0230 memory: 27035 grad_norm: 3.6851 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6630 loss: 1.6630 2022/08/08 21:06:43 - mmengine - INFO - Epoch(train) [10][260/1879] lr: 2.0000e-02 eta: 22:48:19 time: 1.0293 data_time: 0.0228 memory: 27035 grad_norm: 3.7329 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6963 loss: 1.6963 2022/08/08 21:07:03 - mmengine - INFO - Epoch(train) [10][280/1879] lr: 2.0000e-02 eta: 22:47:54 time: 1.0273 data_time: 0.0219 memory: 27035 grad_norm: 3.6795 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7522 loss: 1.7522 2022/08/08 21:07:25 - mmengine - INFO - Epoch(train) [10][300/1879] lr: 2.0000e-02 eta: 22:47:33 time: 1.0737 data_time: 0.0220 memory: 27035 grad_norm: 3.7724 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5886 loss: 1.5886 2022/08/08 21:07:45 - mmengine - INFO - Epoch(train) [10][320/1879] lr: 2.0000e-02 eta: 22:47:08 time: 1.0266 data_time: 0.0220 memory: 27035 grad_norm: 3.7256 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6204 loss: 1.6204 2022/08/08 21:08:06 - mmengine - INFO - Epoch(train) [10][340/1879] lr: 2.0000e-02 eta: 22:46:43 time: 1.0290 data_time: 0.0226 memory: 27035 grad_norm: 3.7590 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9703 loss: 1.9703 2022/08/08 21:08:26 - mmengine - INFO - Epoch(train) [10][360/1879] lr: 2.0000e-02 eta: 22:46:17 time: 1.0266 data_time: 0.0224 memory: 27035 grad_norm: 3.7269 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9610 loss: 1.9610 2022/08/08 21:08:47 - mmengine - INFO - Epoch(train) [10][380/1879] lr: 2.0000e-02 eta: 22:45:52 time: 1.0260 data_time: 0.0227 memory: 27035 grad_norm: 3.7155 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7472 loss: 1.7472 2022/08/08 21:09:07 - mmengine - INFO - Epoch(train) [10][400/1879] lr: 2.0000e-02 eta: 22:45:27 time: 1.0283 data_time: 0.0224 memory: 27035 grad_norm: 3.7122 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5633 loss: 1.5633 2022/08/08 21:09:28 - mmengine - INFO - Epoch(train) [10][420/1879] lr: 2.0000e-02 eta: 22:45:02 time: 1.0275 data_time: 0.0231 memory: 27035 grad_norm: 3.7173 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6890 loss: 1.6890 2022/08/08 21:09:49 - mmengine - INFO - Epoch(train) [10][440/1879] lr: 2.0000e-02 eta: 22:44:38 time: 1.0322 data_time: 0.0220 memory: 27035 grad_norm: 3.6117 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7450 loss: 1.7450 2022/08/08 21:10:09 - mmengine - INFO - Epoch(train) [10][460/1879] lr: 2.0000e-02 eta: 22:44:12 time: 1.0270 data_time: 0.0234 memory: 27035 grad_norm: 3.7948 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7368 loss: 1.7368 2022/08/08 21:10:30 - mmengine - INFO - Epoch(train) [10][480/1879] lr: 2.0000e-02 eta: 22:43:48 time: 1.0367 data_time: 0.0276 memory: 27035 grad_norm: 3.7700 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6784 loss: 1.6784 2022/08/08 21:10:51 - mmengine - INFO - Epoch(train) [10][500/1879] lr: 2.0000e-02 eta: 22:43:23 time: 1.0298 data_time: 0.0226 memory: 27035 grad_norm: 3.6990 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8587 loss: 1.8587 2022/08/08 21:11:11 - mmengine - INFO - Epoch(train) [10][520/1879] lr: 2.0000e-02 eta: 22:42:58 time: 1.0254 data_time: 0.0237 memory: 27035 grad_norm: 3.7607 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7512 loss: 1.7512 2022/08/08 21:11:32 - mmengine - INFO - Epoch(train) [10][540/1879] lr: 2.0000e-02 eta: 22:42:33 time: 1.0287 data_time: 0.0233 memory: 27035 grad_norm: 3.6657 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6803 loss: 1.6803 2022/08/08 21:11:52 - mmengine - INFO - Epoch(train) [10][560/1879] lr: 2.0000e-02 eta: 22:42:08 time: 1.0270 data_time: 0.0232 memory: 27035 grad_norm: 3.7033 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6476 loss: 1.6476 2022/08/08 21:12:13 - mmengine - INFO - Epoch(train) [10][580/1879] lr: 2.0000e-02 eta: 22:41:43 time: 1.0287 data_time: 0.0232 memory: 27035 grad_norm: 3.7695 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5161 loss: 1.5161 2022/08/08 21:12:33 - mmengine - INFO - Epoch(train) [10][600/1879] lr: 2.0000e-02 eta: 22:41:18 time: 1.0262 data_time: 0.0223 memory: 27035 grad_norm: 3.7412 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5698 loss: 1.5698 2022/08/08 21:12:54 - mmengine - INFO - Epoch(train) [10][620/1879] lr: 2.0000e-02 eta: 22:40:54 time: 1.0294 data_time: 0.0230 memory: 27035 grad_norm: 3.7261 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6785 loss: 1.6785 2022/08/08 21:13:14 - mmengine - INFO - Epoch(train) [10][640/1879] lr: 2.0000e-02 eta: 22:40:29 time: 1.0285 data_time: 0.0236 memory: 27035 grad_norm: 3.7083 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6583 loss: 1.6583 2022/08/08 21:13:35 - mmengine - INFO - Epoch(train) [10][660/1879] lr: 2.0000e-02 eta: 22:40:04 time: 1.0293 data_time: 0.0227 memory: 27035 grad_norm: 3.7645 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7800 loss: 1.7800 2022/08/08 21:13:56 - mmengine - INFO - Epoch(train) [10][680/1879] lr: 2.0000e-02 eta: 22:39:39 time: 1.0280 data_time: 0.0236 memory: 27035 grad_norm: 3.8317 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8842 loss: 1.8842 2022/08/08 21:14:16 - mmengine - INFO - Epoch(train) [10][700/1879] lr: 2.0000e-02 eta: 22:39:14 time: 1.0294 data_time: 0.0236 memory: 27035 grad_norm: 3.7437 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5564 loss: 1.5564 2022/08/08 21:14:37 - mmengine - INFO - Epoch(train) [10][720/1879] lr: 2.0000e-02 eta: 22:38:49 time: 1.0265 data_time: 0.0231 memory: 27035 grad_norm: 3.8204 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7951 loss: 1.7951 2022/08/08 21:14:57 - mmengine - INFO - Epoch(train) [10][740/1879] lr: 2.0000e-02 eta: 22:38:25 time: 1.0299 data_time: 0.0228 memory: 27035 grad_norm: 3.7042 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6939 loss: 1.6939 2022/08/08 21:15:18 - mmengine - INFO - Epoch(train) [10][760/1879] lr: 2.0000e-02 eta: 22:38:00 time: 1.0276 data_time: 0.0234 memory: 27035 grad_norm: 3.7785 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7288 loss: 1.7288 2022/08/08 21:15:38 - mmengine - INFO - Epoch(train) [10][780/1879] lr: 2.0000e-02 eta: 22:37:35 time: 1.0302 data_time: 0.0238 memory: 27035 grad_norm: 3.6910 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6454 loss: 1.6454 2022/08/08 21:15:59 - mmengine - INFO - Epoch(train) [10][800/1879] lr: 2.0000e-02 eta: 22:37:11 time: 1.0337 data_time: 0.0231 memory: 27035 grad_norm: 3.8207 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7411 loss: 1.7411 2022/08/08 21:16:20 - mmengine - INFO - Epoch(train) [10][820/1879] lr: 2.0000e-02 eta: 22:36:47 time: 1.0394 data_time: 0.0307 memory: 27035 grad_norm: 3.7384 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7792 loss: 1.7792 2022/08/08 21:16:41 - mmengine - INFO - Epoch(train) [10][840/1879] lr: 2.0000e-02 eta: 22:36:23 time: 1.0357 data_time: 0.0228 memory: 27035 grad_norm: 3.8192 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6143 loss: 1.6143 2022/08/08 21:17:01 - mmengine - INFO - Epoch(train) [10][860/1879] lr: 2.0000e-02 eta: 22:35:58 time: 1.0318 data_time: 0.0232 memory: 27035 grad_norm: 3.8549 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6394 loss: 1.6394 2022/08/08 21:17:23 - mmengine - INFO - Epoch(train) [10][880/1879] lr: 2.0000e-02 eta: 22:35:37 time: 1.0705 data_time: 0.0465 memory: 27035 grad_norm: 3.7282 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9065 loss: 1.9065 2022/08/08 21:17:43 - mmengine - INFO - Epoch(train) [10][900/1879] lr: 2.0000e-02 eta: 22:35:12 time: 1.0279 data_time: 0.0231 memory: 27035 grad_norm: 3.7255 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6378 loss: 1.6378 2022/08/08 21:18:04 - mmengine - INFO - Epoch(train) [10][920/1879] lr: 2.0000e-02 eta: 22:34:48 time: 1.0272 data_time: 0.0229 memory: 27035 grad_norm: 3.6914 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5676 loss: 1.5676 2022/08/08 21:18:24 - mmengine - INFO - Epoch(train) [10][940/1879] lr: 2.0000e-02 eta: 22:34:23 time: 1.0271 data_time: 0.0222 memory: 27035 grad_norm: 3.7614 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4252 loss: 1.4252 2022/08/08 21:18:45 - mmengine - INFO - Epoch(train) [10][960/1879] lr: 2.0000e-02 eta: 22:33:59 time: 1.0337 data_time: 0.0226 memory: 27035 grad_norm: 3.7333 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6718 loss: 1.6718 2022/08/08 21:19:06 - mmengine - INFO - Epoch(train) [10][980/1879] lr: 2.0000e-02 eta: 22:33:34 time: 1.0278 data_time: 0.0222 memory: 27035 grad_norm: 3.7363 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7967 loss: 1.7967 2022/08/08 21:19:26 - mmengine - INFO - Epoch(train) [10][1000/1879] lr: 2.0000e-02 eta: 22:33:09 time: 1.0266 data_time: 0.0240 memory: 27035 grad_norm: 3.7791 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9017 loss: 1.9017 2022/08/08 21:19:47 - mmengine - INFO - Epoch(train) [10][1020/1879] lr: 2.0000e-02 eta: 22:32:45 time: 1.0324 data_time: 0.0287 memory: 27035 grad_norm: 3.8140 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8231 loss: 1.8231 2022/08/08 21:20:07 - mmengine - INFO - Epoch(train) [10][1040/1879] lr: 2.0000e-02 eta: 22:32:20 time: 1.0268 data_time: 0.0235 memory: 27035 grad_norm: 3.6744 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7309 loss: 1.7309 2022/08/08 21:20:28 - mmengine - INFO - Epoch(train) [10][1060/1879] lr: 2.0000e-02 eta: 22:31:56 time: 1.0376 data_time: 0.0330 memory: 27035 grad_norm: 3.7409 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5905 loss: 1.5905 2022/08/08 21:20:49 - mmengine - INFO - Epoch(train) [10][1080/1879] lr: 2.0000e-02 eta: 22:31:32 time: 1.0341 data_time: 0.0226 memory: 27035 grad_norm: 3.6502 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7571 loss: 1.7571 2022/08/08 21:20:58 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 21:21:09 - mmengine - INFO - Epoch(train) [10][1100/1879] lr: 2.0000e-02 eta: 22:31:08 time: 1.0350 data_time: 0.0301 memory: 27035 grad_norm: 3.7642 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9549 loss: 1.9549 2022/08/08 21:21:30 - mmengine - INFO - Epoch(train) [10][1120/1879] lr: 2.0000e-02 eta: 22:30:43 time: 1.0310 data_time: 0.0231 memory: 27035 grad_norm: 3.7067 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6431 loss: 1.6431 2022/08/08 21:21:51 - mmengine - INFO - Epoch(train) [10][1140/1879] lr: 2.0000e-02 eta: 22:30:19 time: 1.0316 data_time: 0.0241 memory: 27035 grad_norm: 3.7666 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6502 loss: 1.6502 2022/08/08 21:22:11 - mmengine - INFO - Epoch(train) [10][1160/1879] lr: 2.0000e-02 eta: 22:29:54 time: 1.0278 data_time: 0.0234 memory: 27035 grad_norm: 3.7652 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6098 loss: 1.6098 2022/08/08 21:22:32 - mmengine - INFO - Epoch(train) [10][1180/1879] lr: 2.0000e-02 eta: 22:29:30 time: 1.0308 data_time: 0.0229 memory: 27035 grad_norm: 3.7702 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8883 loss: 1.8883 2022/08/08 21:22:53 - mmengine - INFO - Epoch(train) [10][1200/1879] lr: 2.0000e-02 eta: 22:29:05 time: 1.0329 data_time: 0.0240 memory: 27035 grad_norm: 3.7063 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7686 loss: 1.7686 2022/08/08 21:23:13 - mmengine - INFO - Epoch(train) [10][1220/1879] lr: 2.0000e-02 eta: 22:28:41 time: 1.0290 data_time: 0.0229 memory: 27035 grad_norm: 3.7477 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7633 loss: 1.7633 2022/08/08 21:23:34 - mmengine - INFO - Epoch(train) [10][1240/1879] lr: 2.0000e-02 eta: 22:28:16 time: 1.0281 data_time: 0.0233 memory: 27035 grad_norm: 3.8589 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7742 loss: 1.7742 2022/08/08 21:23:54 - mmengine - INFO - Epoch(train) [10][1260/1879] lr: 2.0000e-02 eta: 22:27:52 time: 1.0375 data_time: 0.0303 memory: 27035 grad_norm: 3.7807 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5484 loss: 1.5484 2022/08/08 21:24:15 - mmengine - INFO - Epoch(train) [10][1280/1879] lr: 2.0000e-02 eta: 22:27:28 time: 1.0305 data_time: 0.0237 memory: 27035 grad_norm: 3.8078 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7170 loss: 1.7170 2022/08/08 21:24:36 - mmengine - INFO - Epoch(train) [10][1300/1879] lr: 2.0000e-02 eta: 22:27:03 time: 1.0272 data_time: 0.0221 memory: 27035 grad_norm: 3.7856 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6235 loss: 1.6235 2022/08/08 21:24:56 - mmengine - INFO - Epoch(train) [10][1320/1879] lr: 2.0000e-02 eta: 22:26:39 time: 1.0326 data_time: 0.0219 memory: 27035 grad_norm: 3.7970 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8820 loss: 1.8820 2022/08/08 21:25:17 - mmengine - INFO - Epoch(train) [10][1340/1879] lr: 2.0000e-02 eta: 22:26:16 time: 1.0412 data_time: 0.0270 memory: 27035 grad_norm: 3.7139 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5444 loss: 1.5444 2022/08/08 21:25:38 - mmengine - INFO - Epoch(train) [10][1360/1879] lr: 2.0000e-02 eta: 22:25:51 time: 1.0269 data_time: 0.0220 memory: 27035 grad_norm: 3.6133 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6277 loss: 1.6277 2022/08/08 21:25:58 - mmengine - INFO - Epoch(train) [10][1380/1879] lr: 2.0000e-02 eta: 22:25:27 time: 1.0295 data_time: 0.0231 memory: 27035 grad_norm: 3.6210 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8431 loss: 1.8431 2022/08/08 21:26:19 - mmengine - INFO - Epoch(train) [10][1400/1879] lr: 2.0000e-02 eta: 22:25:02 time: 1.0279 data_time: 0.0231 memory: 27035 grad_norm: 3.8190 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6755 loss: 1.6755 2022/08/08 21:26:39 - mmengine - INFO - Epoch(train) [10][1420/1879] lr: 2.0000e-02 eta: 22:24:38 time: 1.0294 data_time: 0.0233 memory: 27035 grad_norm: 3.7307 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6228 loss: 1.6228 2022/08/08 21:27:00 - mmengine - INFO - Epoch(train) [10][1440/1879] lr: 2.0000e-02 eta: 22:24:13 time: 1.0300 data_time: 0.0235 memory: 27035 grad_norm: 3.7148 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6545 loss: 1.6545 2022/08/08 21:27:21 - mmengine - INFO - Epoch(train) [10][1460/1879] lr: 2.0000e-02 eta: 22:23:50 time: 1.0395 data_time: 0.0238 memory: 27035 grad_norm: 3.6347 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5719 loss: 1.5719 2022/08/08 21:27:42 - mmengine - INFO - Epoch(train) [10][1480/1879] lr: 2.0000e-02 eta: 22:23:26 time: 1.0392 data_time: 0.0297 memory: 27035 grad_norm: 3.7614 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7714 loss: 1.7714 2022/08/08 21:28:02 - mmengine - INFO - Epoch(train) [10][1500/1879] lr: 2.0000e-02 eta: 22:23:02 time: 1.0297 data_time: 0.0241 memory: 27035 grad_norm: 3.6961 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7747 loss: 1.7747 2022/08/08 21:28:23 - mmengine - INFO - Epoch(train) [10][1520/1879] lr: 2.0000e-02 eta: 22:22:38 time: 1.0366 data_time: 0.0228 memory: 27035 grad_norm: 3.7189 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9284 loss: 1.9284 2022/08/08 21:28:44 - mmengine - INFO - Epoch(train) [10][1540/1879] lr: 2.0000e-02 eta: 22:22:14 time: 1.0323 data_time: 0.0233 memory: 27035 grad_norm: 3.8170 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7308 loss: 1.7308 2022/08/08 21:29:04 - mmengine - INFO - Epoch(train) [10][1560/1879] lr: 2.0000e-02 eta: 22:21:49 time: 1.0290 data_time: 0.0237 memory: 27035 grad_norm: 3.7418 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6637 loss: 1.6637 2022/08/08 21:29:25 - mmengine - INFO - Epoch(train) [10][1580/1879] lr: 2.0000e-02 eta: 22:21:25 time: 1.0290 data_time: 0.0234 memory: 27035 grad_norm: 3.7038 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8691 loss: 1.8691 2022/08/08 21:29:45 - mmengine - INFO - Epoch(train) [10][1600/1879] lr: 2.0000e-02 eta: 22:21:00 time: 1.0284 data_time: 0.0240 memory: 27035 grad_norm: 3.7307 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7476 loss: 1.7476 2022/08/08 21:30:06 - mmengine - INFO - Epoch(train) [10][1620/1879] lr: 2.0000e-02 eta: 22:20:36 time: 1.0341 data_time: 0.0243 memory: 27035 grad_norm: 3.7026 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6226 loss: 1.6226 2022/08/08 21:30:28 - mmengine - INFO - Epoch(train) [10][1640/1879] lr: 2.0000e-02 eta: 22:20:16 time: 1.0787 data_time: 0.0714 memory: 27035 grad_norm: 3.7427 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7383 loss: 1.7383 2022/08/08 21:30:48 - mmengine - INFO - Epoch(train) [10][1660/1879] lr: 2.0000e-02 eta: 22:19:52 time: 1.0314 data_time: 0.0228 memory: 27035 grad_norm: 3.6644 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5732 loss: 1.5732 2022/08/08 21:31:09 - mmengine - INFO - Epoch(train) [10][1680/1879] lr: 2.0000e-02 eta: 22:19:27 time: 1.0278 data_time: 0.0229 memory: 27035 grad_norm: 3.8283 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5501 loss: 1.5501 2022/08/08 21:31:29 - mmengine - INFO - Epoch(train) [10][1700/1879] lr: 2.0000e-02 eta: 22:19:03 time: 1.0275 data_time: 0.0237 memory: 27035 grad_norm: 3.6950 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6855 loss: 1.6855 2022/08/08 21:31:50 - mmengine - INFO - Epoch(train) [10][1720/1879] lr: 2.0000e-02 eta: 22:18:39 time: 1.0311 data_time: 0.0277 memory: 27035 grad_norm: 3.6538 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7964 loss: 1.7964 2022/08/08 21:32:10 - mmengine - INFO - Epoch(train) [10][1740/1879] lr: 2.0000e-02 eta: 22:18:14 time: 1.0286 data_time: 0.0223 memory: 27035 grad_norm: 3.6967 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7383 loss: 1.7383 2022/08/08 21:32:31 - mmengine - INFO - Epoch(train) [10][1760/1879] lr: 2.0000e-02 eta: 22:17:50 time: 1.0298 data_time: 0.0238 memory: 27035 grad_norm: 3.7804 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8265 loss: 1.8265 2022/08/08 21:32:52 - mmengine - INFO - Epoch(train) [10][1780/1879] lr: 2.0000e-02 eta: 22:17:26 time: 1.0267 data_time: 0.0229 memory: 27035 grad_norm: 3.7894 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6333 loss: 1.6333 2022/08/08 21:33:12 - mmengine - INFO - Epoch(train) [10][1800/1879] lr: 2.0000e-02 eta: 22:17:01 time: 1.0279 data_time: 0.0220 memory: 27035 grad_norm: 3.6903 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6172 loss: 1.6172 2022/08/08 21:33:33 - mmengine - INFO - Epoch(train) [10][1820/1879] lr: 2.0000e-02 eta: 22:16:37 time: 1.0357 data_time: 0.0246 memory: 27035 grad_norm: 3.6381 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5962 loss: 1.5962 2022/08/08 21:33:53 - mmengine - INFO - Epoch(train) [10][1840/1879] lr: 2.0000e-02 eta: 22:16:13 time: 1.0273 data_time: 0.0223 memory: 27035 grad_norm: 3.7927 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6244 loss: 1.6244 2022/08/08 21:34:14 - mmengine - INFO - Epoch(train) [10][1860/1879] lr: 2.0000e-02 eta: 22:15:49 time: 1.0383 data_time: 0.0227 memory: 27035 grad_norm: 3.9020 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8802 loss: 1.8802 2022/08/08 21:34:33 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 21:34:33 - mmengine - INFO - Epoch(train) [10][1879/1879] lr: 2.0000e-02 eta: 22:15:49 time: 1.0035 data_time: 0.0223 memory: 27035 grad_norm: 3.8015 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.8508 loss: 1.8508 2022/08/08 21:34:48 - mmengine - INFO - Epoch(val) [10][20/155] eta: 0:01:39 time: 0.7380 data_time: 0.4674 memory: 3270 2022/08/08 21:35:09 - mmengine - INFO - Epoch(val) [10][40/155] eta: 0:02:00 time: 1.0465 data_time: 0.7763 memory: 3270 2022/08/08 21:35:20 - mmengine - INFO - Epoch(val) [10][60/155] eta: 0:00:54 time: 0.5699 data_time: 0.3007 memory: 3270 2022/08/08 21:35:34 - mmengine - INFO - Epoch(val) [10][80/155] eta: 0:00:49 time: 0.6624 data_time: 0.3945 memory: 3270 2022/08/08 21:35:45 - mmengine - INFO - Epoch(val) [10][100/155] eta: 0:00:32 time: 0.5829 data_time: 0.3145 memory: 3270 2022/08/08 21:36:00 - mmengine - INFO - Epoch(val) [10][120/155] eta: 0:00:25 time: 0.7174 data_time: 0.4482 memory: 3270 2022/08/08 21:36:11 - mmengine - INFO - Epoch(val) [10][140/155] eta: 0:00:08 time: 0.5591 data_time: 0.2960 memory: 3270 2022/08/08 21:36:24 - mmengine - INFO - Epoch(val) [10][155/155] acc/top1: 0.6061 acc/top5: 0.8342 acc/mean1: 0.6060 2022/08/08 21:36:24 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_10.pth is removed 2022/08/08 21:36:25 - mmengine - INFO - The best checkpoint with 0.6061 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/08/08 21:36:51 - mmengine - INFO - Epoch(train) [11][20/1879] lr: 2.0000e-02 eta: 22:14:06 time: 1.3074 data_time: 0.2859 memory: 27035 grad_norm: 3.5467 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5634 loss: 1.5634 2022/08/08 21:37:12 - mmengine - INFO - Epoch(train) [11][40/1879] lr: 2.0000e-02 eta: 22:13:43 time: 1.0371 data_time: 0.0281 memory: 27035 grad_norm: 3.6737 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7345 loss: 1.7345 2022/08/08 21:37:33 - mmengine - INFO - Epoch(train) [11][60/1879] lr: 2.0000e-02 eta: 22:13:20 time: 1.0459 data_time: 0.0400 memory: 27035 grad_norm: 3.7474 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7149 loss: 1.7149 2022/08/08 21:37:54 - mmengine - INFO - Epoch(train) [11][80/1879] lr: 2.0000e-02 eta: 22:12:56 time: 1.0287 data_time: 0.0218 memory: 27035 grad_norm: 3.6904 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5271 loss: 1.5271 2022/08/08 21:38:14 - mmengine - INFO - Epoch(train) [11][100/1879] lr: 2.0000e-02 eta: 22:12:31 time: 1.0259 data_time: 0.0221 memory: 27035 grad_norm: 3.7822 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5813 loss: 1.5813 2022/08/08 21:38:35 - mmengine - INFO - Epoch(train) [11][120/1879] lr: 2.0000e-02 eta: 22:12:07 time: 1.0270 data_time: 0.0219 memory: 27035 grad_norm: 3.7962 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6014 loss: 1.6014 2022/08/08 21:38:55 - mmengine - INFO - Epoch(train) [11][140/1879] lr: 2.0000e-02 eta: 22:11:43 time: 1.0316 data_time: 0.0228 memory: 27035 grad_norm: 3.7190 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5549 loss: 1.5549 2022/08/08 21:39:16 - mmengine - INFO - Epoch(train) [11][160/1879] lr: 2.0000e-02 eta: 22:11:19 time: 1.0285 data_time: 0.0232 memory: 27035 grad_norm: 3.6514 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5465 loss: 1.5465 2022/08/08 21:39:36 - mmengine - INFO - Epoch(train) [11][180/1879] lr: 2.0000e-02 eta: 22:10:55 time: 1.0296 data_time: 0.0223 memory: 27035 grad_norm: 3.5552 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5201 loss: 1.5201 2022/08/08 21:39:57 - mmengine - INFO - Epoch(train) [11][200/1879] lr: 2.0000e-02 eta: 22:10:30 time: 1.0275 data_time: 0.0222 memory: 27035 grad_norm: 3.6856 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.6493 loss: 1.6493 2022/08/08 21:40:07 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 21:40:18 - mmengine - INFO - Epoch(train) [11][220/1879] lr: 2.0000e-02 eta: 22:10:08 time: 1.0503 data_time: 0.0242 memory: 27035 grad_norm: 3.6826 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6829 loss: 1.6829 2022/08/08 21:40:39 - mmengine - INFO - Epoch(train) [11][240/1879] lr: 2.0000e-02 eta: 22:09:44 time: 1.0285 data_time: 0.0231 memory: 27035 grad_norm: 3.6541 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5038 loss: 1.5038 2022/08/08 21:40:59 - mmengine - INFO - Epoch(train) [11][260/1879] lr: 2.0000e-02 eta: 22:09:19 time: 1.0251 data_time: 0.0224 memory: 27035 grad_norm: 3.7711 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8483 loss: 1.8483 2022/08/08 21:41:20 - mmengine - INFO - Epoch(train) [11][280/1879] lr: 2.0000e-02 eta: 22:08:55 time: 1.0259 data_time: 0.0222 memory: 27035 grad_norm: 3.7966 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7234 loss: 1.7234 2022/08/08 21:41:40 - mmengine - INFO - Epoch(train) [11][300/1879] lr: 2.0000e-02 eta: 22:08:31 time: 1.0297 data_time: 0.0246 memory: 27035 grad_norm: 3.7856 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7460 loss: 1.7460 2022/08/08 21:42:01 - mmengine - INFO - Epoch(train) [11][320/1879] lr: 2.0000e-02 eta: 22:08:07 time: 1.0276 data_time: 0.0228 memory: 27035 grad_norm: 3.7380 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8698 loss: 1.8698 2022/08/08 21:42:21 - mmengine - INFO - Epoch(train) [11][340/1879] lr: 2.0000e-02 eta: 22:07:42 time: 1.0268 data_time: 0.0223 memory: 27035 grad_norm: 3.7470 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6032 loss: 1.6032 2022/08/08 21:42:42 - mmengine - INFO - Epoch(train) [11][360/1879] lr: 2.0000e-02 eta: 22:07:18 time: 1.0264 data_time: 0.0232 memory: 27035 grad_norm: 3.6579 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5383 loss: 1.5383 2022/08/08 21:43:02 - mmengine - INFO - Epoch(train) [11][380/1879] lr: 2.0000e-02 eta: 22:06:54 time: 1.0254 data_time: 0.0226 memory: 27035 grad_norm: 3.7130 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6129 loss: 1.6129 2022/08/08 21:43:23 - mmengine - INFO - Epoch(train) [11][400/1879] lr: 2.0000e-02 eta: 22:06:29 time: 1.0267 data_time: 0.0226 memory: 27035 grad_norm: 3.7130 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7114 loss: 1.7114 2022/08/08 21:43:43 - mmengine - INFO - Epoch(train) [11][420/1879] lr: 2.0000e-02 eta: 22:06:05 time: 1.0250 data_time: 0.0221 memory: 27035 grad_norm: 3.6269 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5569 loss: 1.5569 2022/08/08 21:44:04 - mmengine - INFO - Epoch(train) [11][440/1879] lr: 2.0000e-02 eta: 22:05:41 time: 1.0265 data_time: 0.0230 memory: 27035 grad_norm: 3.7229 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6575 loss: 1.6575 2022/08/08 21:44:25 - mmengine - INFO - Epoch(train) [11][460/1879] lr: 2.0000e-02 eta: 22:05:17 time: 1.0314 data_time: 0.0277 memory: 27035 grad_norm: 3.6054 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5707 loss: 1.5707 2022/08/08 21:44:45 - mmengine - INFO - Epoch(train) [11][480/1879] lr: 2.0000e-02 eta: 22:04:53 time: 1.0282 data_time: 0.0234 memory: 27035 grad_norm: 3.6280 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6410 loss: 1.6410 2022/08/08 21:45:06 - mmengine - INFO - Epoch(train) [11][500/1879] lr: 2.0000e-02 eta: 22:04:29 time: 1.0275 data_time: 0.0229 memory: 27035 grad_norm: 3.6843 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6849 loss: 1.6849 2022/08/08 21:45:28 - mmengine - INFO - Epoch(train) [11][520/1879] lr: 2.0000e-02 eta: 22:04:10 time: 1.0965 data_time: 0.0926 memory: 27035 grad_norm: 3.6960 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 1.8234 loss: 1.8234 2022/08/08 21:45:48 - mmengine - INFO - Epoch(train) [11][540/1879] lr: 2.0000e-02 eta: 22:03:46 time: 1.0286 data_time: 0.0220 memory: 27035 grad_norm: 3.7728 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6661 loss: 1.6661 2022/08/08 21:46:09 - mmengine - INFO - Epoch(train) [11][560/1879] lr: 2.0000e-02 eta: 22:03:21 time: 1.0239 data_time: 0.0226 memory: 27035 grad_norm: 3.7021 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7539 loss: 1.7539 2022/08/08 21:46:29 - mmengine - INFO - Epoch(train) [11][580/1879] lr: 2.0000e-02 eta: 22:02:57 time: 1.0254 data_time: 0.0228 memory: 27035 grad_norm: 3.7079 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7021 loss: 1.7021 2022/08/08 21:46:50 - mmengine - INFO - Epoch(train) [11][600/1879] lr: 2.0000e-02 eta: 22:02:34 time: 1.0443 data_time: 0.0302 memory: 27035 grad_norm: 3.8009 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.6070 loss: 1.6070 2022/08/08 21:47:11 - mmengine - INFO - Epoch(train) [11][620/1879] lr: 2.0000e-02 eta: 22:02:10 time: 1.0265 data_time: 0.0232 memory: 27035 grad_norm: 3.7168 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8445 loss: 1.8445 2022/08/08 21:47:32 - mmengine - INFO - Epoch(train) [11][640/1879] lr: 2.0000e-02 eta: 22:01:48 time: 1.0561 data_time: 0.0541 memory: 27035 grad_norm: 3.6784 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7187 loss: 1.7187 2022/08/08 21:47:52 - mmengine - INFO - Epoch(train) [11][660/1879] lr: 2.0000e-02 eta: 22:01:24 time: 1.0311 data_time: 0.0246 memory: 27035 grad_norm: 3.6509 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6829 loss: 1.6829 2022/08/08 21:48:13 - mmengine - INFO - Epoch(train) [11][680/1879] lr: 2.0000e-02 eta: 22:01:00 time: 1.0296 data_time: 0.0228 memory: 27035 grad_norm: 3.5401 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6166 loss: 1.6166 2022/08/08 21:48:34 - mmengine - INFO - Epoch(train) [11][700/1879] lr: 2.0000e-02 eta: 22:00:37 time: 1.0331 data_time: 0.0294 memory: 27035 grad_norm: 3.6570 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6309 loss: 1.6309 2022/08/08 21:48:54 - mmengine - INFO - Epoch(train) [11][720/1879] lr: 2.0000e-02 eta: 22:00:13 time: 1.0297 data_time: 0.0224 memory: 27035 grad_norm: 3.7096 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6990 loss: 1.6990 2022/08/08 21:49:15 - mmengine - INFO - Epoch(train) [11][740/1879] lr: 2.0000e-02 eta: 21:59:49 time: 1.0280 data_time: 0.0240 memory: 27035 grad_norm: 3.6905 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4809 loss: 1.4809 2022/08/08 21:49:35 - mmengine - INFO - Epoch(train) [11][760/1879] lr: 2.0000e-02 eta: 21:59:25 time: 1.0288 data_time: 0.0225 memory: 27035 grad_norm: 3.6799 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6939 loss: 1.6939 2022/08/08 21:49:56 - mmengine - INFO - Epoch(train) [11][780/1879] lr: 2.0000e-02 eta: 21:59:01 time: 1.0274 data_time: 0.0225 memory: 27035 grad_norm: 3.7840 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6524 loss: 1.6524 2022/08/08 21:50:17 - mmengine - INFO - Epoch(train) [11][800/1879] lr: 2.0000e-02 eta: 21:58:38 time: 1.0393 data_time: 0.0307 memory: 27035 grad_norm: 3.7463 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5623 loss: 1.5623 2022/08/08 21:50:37 - mmengine - INFO - Epoch(train) [11][820/1879] lr: 2.0000e-02 eta: 21:58:14 time: 1.0303 data_time: 0.0228 memory: 27035 grad_norm: 3.7256 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7073 loss: 1.7073 2022/08/08 21:50:58 - mmengine - INFO - Epoch(train) [11][840/1879] lr: 2.0000e-02 eta: 21:57:50 time: 1.0293 data_time: 0.0247 memory: 27035 grad_norm: 3.7607 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5974 loss: 1.5974 2022/08/08 21:51:18 - mmengine - INFO - Epoch(train) [11][860/1879] lr: 2.0000e-02 eta: 21:57:26 time: 1.0276 data_time: 0.0232 memory: 27035 grad_norm: 3.7009 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8182 loss: 1.8182 2022/08/08 21:51:39 - mmengine - INFO - Epoch(train) [11][880/1879] lr: 2.0000e-02 eta: 21:57:02 time: 1.0274 data_time: 0.0220 memory: 27035 grad_norm: 3.6241 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6483 loss: 1.6483 2022/08/08 21:52:00 - mmengine - INFO - Epoch(train) [11][900/1879] lr: 2.0000e-02 eta: 21:56:38 time: 1.0306 data_time: 0.0228 memory: 27035 grad_norm: 3.6538 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5217 loss: 1.5217 2022/08/08 21:52:20 - mmengine - INFO - Epoch(train) [11][920/1879] lr: 2.0000e-02 eta: 21:56:14 time: 1.0281 data_time: 0.0234 memory: 27035 grad_norm: 3.7637 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7461 loss: 1.7461 2022/08/08 21:52:41 - mmengine - INFO - Epoch(train) [11][940/1879] lr: 2.0000e-02 eta: 21:55:50 time: 1.0285 data_time: 0.0233 memory: 27035 grad_norm: 3.8038 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6504 loss: 1.6504 2022/08/08 21:53:01 - mmengine - INFO - Epoch(train) [11][960/1879] lr: 2.0000e-02 eta: 21:55:26 time: 1.0273 data_time: 0.0223 memory: 27035 grad_norm: 3.8452 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5344 loss: 1.5344 2022/08/08 21:53:22 - mmengine - INFO - Epoch(train) [11][980/1879] lr: 2.0000e-02 eta: 21:55:02 time: 1.0289 data_time: 0.0225 memory: 27035 grad_norm: 3.7332 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6056 loss: 1.6056 2022/08/08 21:53:42 - mmengine - INFO - Epoch(train) [11][1000/1879] lr: 2.0000e-02 eta: 21:54:38 time: 1.0300 data_time: 0.0217 memory: 27035 grad_norm: 3.7884 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7072 loss: 1.7072 2022/08/08 21:54:03 - mmengine - INFO - Epoch(train) [11][1020/1879] lr: 2.0000e-02 eta: 21:54:15 time: 1.0313 data_time: 0.0210 memory: 27035 grad_norm: 3.6937 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7855 loss: 1.7855 2022/08/08 21:54:24 - mmengine - INFO - Epoch(train) [11][1040/1879] lr: 2.0000e-02 eta: 21:53:51 time: 1.0349 data_time: 0.0220 memory: 27035 grad_norm: 3.7683 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5567 loss: 1.5567 2022/08/08 21:54:44 - mmengine - INFO - Epoch(train) [11][1060/1879] lr: 2.0000e-02 eta: 21:53:27 time: 1.0279 data_time: 0.0222 memory: 27035 grad_norm: 3.6103 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5798 loss: 1.5798 2022/08/08 21:55:05 - mmengine - INFO - Epoch(train) [11][1080/1879] lr: 2.0000e-02 eta: 21:53:04 time: 1.0333 data_time: 0.0221 memory: 27035 grad_norm: 3.7015 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7525 loss: 1.7525 2022/08/08 21:55:27 - mmengine - INFO - Epoch(train) [11][1100/1879] lr: 2.0000e-02 eta: 21:52:47 time: 1.1158 data_time: 0.1020 memory: 27035 grad_norm: 3.7848 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6891 loss: 1.6891 2022/08/08 21:55:48 - mmengine - INFO - Epoch(train) [11][1120/1879] lr: 2.0000e-02 eta: 21:52:23 time: 1.0288 data_time: 0.0222 memory: 27035 grad_norm: 3.8321 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7077 loss: 1.7077 2022/08/08 21:56:08 - mmengine - INFO - Epoch(train) [11][1140/1879] lr: 2.0000e-02 eta: 21:51:59 time: 1.0267 data_time: 0.0227 memory: 27035 grad_norm: 3.6657 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6544 loss: 1.6544 2022/08/08 21:56:29 - mmengine - INFO - Epoch(train) [11][1160/1879] lr: 2.0000e-02 eta: 21:51:35 time: 1.0306 data_time: 0.0228 memory: 27035 grad_norm: 3.7025 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4594 loss: 1.4594 2022/08/08 21:56:50 - mmengine - INFO - Epoch(train) [11][1180/1879] lr: 2.0000e-02 eta: 21:51:11 time: 1.0274 data_time: 0.0235 memory: 27035 grad_norm: 3.8119 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6630 loss: 1.6630 2022/08/08 21:57:10 - mmengine - INFO - Epoch(train) [11][1200/1879] lr: 2.0000e-02 eta: 21:50:47 time: 1.0304 data_time: 0.0221 memory: 27035 grad_norm: 3.7043 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6892 loss: 1.6892 2022/08/08 21:57:21 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 21:57:32 - mmengine - INFO - Epoch(train) [11][1220/1879] lr: 2.0000e-02 eta: 21:50:26 time: 1.0688 data_time: 0.0225 memory: 27035 grad_norm: 3.6797 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7379 loss: 1.7379 2022/08/08 21:57:52 - mmengine - INFO - Epoch(train) [11][1240/1879] lr: 2.0000e-02 eta: 21:50:03 time: 1.0347 data_time: 0.0223 memory: 27035 grad_norm: 3.7483 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6415 loss: 1.6415 2022/08/08 21:58:13 - mmengine - INFO - Epoch(train) [11][1260/1879] lr: 2.0000e-02 eta: 21:49:39 time: 1.0261 data_time: 0.0221 memory: 27035 grad_norm: 3.7581 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6772 loss: 1.6772 2022/08/08 21:58:33 - mmengine - INFO - Epoch(train) [11][1280/1879] lr: 2.0000e-02 eta: 21:49:15 time: 1.0299 data_time: 0.0224 memory: 27035 grad_norm: 3.6238 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5645 loss: 1.5645 2022/08/08 21:58:54 - mmengine - INFO - Epoch(train) [11][1300/1879] lr: 2.0000e-02 eta: 21:48:51 time: 1.0255 data_time: 0.0233 memory: 27035 grad_norm: 3.6974 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7138 loss: 1.7138 2022/08/08 21:59:15 - mmengine - INFO - Epoch(train) [11][1320/1879] lr: 2.0000e-02 eta: 21:48:27 time: 1.0275 data_time: 0.0230 memory: 27035 grad_norm: 3.6986 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5568 loss: 1.5568 2022/08/08 21:59:35 - mmengine - INFO - Epoch(train) [11][1340/1879] lr: 2.0000e-02 eta: 21:48:03 time: 1.0266 data_time: 0.0229 memory: 27035 grad_norm: 3.7605 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8031 loss: 1.8031 2022/08/08 21:59:56 - mmengine - INFO - Epoch(train) [11][1360/1879] lr: 2.0000e-02 eta: 21:47:40 time: 1.0292 data_time: 0.0208 memory: 27035 grad_norm: 3.7628 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6329 loss: 1.6329 2022/08/08 22:00:16 - mmengine - INFO - Epoch(train) [11][1380/1879] lr: 2.0000e-02 eta: 21:47:16 time: 1.0355 data_time: 0.0241 memory: 27035 grad_norm: 3.7429 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.5076 loss: 1.5076 2022/08/08 22:00:37 - mmengine - INFO - Epoch(train) [11][1400/1879] lr: 2.0000e-02 eta: 21:46:53 time: 1.0284 data_time: 0.0218 memory: 27035 grad_norm: 3.7145 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6565 loss: 1.6565 2022/08/08 22:00:58 - mmengine - INFO - Epoch(train) [11][1420/1879] lr: 2.0000e-02 eta: 21:46:29 time: 1.0304 data_time: 0.0213 memory: 27035 grad_norm: 3.6957 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6797 loss: 1.6797 2022/08/08 22:01:18 - mmengine - INFO - Epoch(train) [11][1440/1879] lr: 2.0000e-02 eta: 21:46:05 time: 1.0254 data_time: 0.0217 memory: 27035 grad_norm: 3.7511 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6861 loss: 1.6861 2022/08/08 22:01:39 - mmengine - INFO - Epoch(train) [11][1460/1879] lr: 2.0000e-02 eta: 21:45:41 time: 1.0269 data_time: 0.0219 memory: 27035 grad_norm: 3.7447 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5774 loss: 1.5774 2022/08/08 22:01:59 - mmengine - INFO - Epoch(train) [11][1480/1879] lr: 2.0000e-02 eta: 21:45:18 time: 1.0340 data_time: 0.0283 memory: 27035 grad_norm: 3.6408 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6224 loss: 1.6224 2022/08/08 22:02:20 - mmengine - INFO - Epoch(train) [11][1500/1879] lr: 2.0000e-02 eta: 21:44:54 time: 1.0302 data_time: 0.0224 memory: 27035 grad_norm: 3.6907 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7793 loss: 1.7793 2022/08/08 22:02:40 - mmengine - INFO - Epoch(train) [11][1520/1879] lr: 2.0000e-02 eta: 21:44:30 time: 1.0255 data_time: 0.0225 memory: 27035 grad_norm: 3.7718 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7440 loss: 1.7440 2022/08/08 22:03:01 - mmengine - INFO - Epoch(train) [11][1540/1879] lr: 2.0000e-02 eta: 21:44:06 time: 1.0300 data_time: 0.0228 memory: 27035 grad_norm: 3.6767 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.7255 loss: 1.7255 2022/08/08 22:03:22 - mmengine - INFO - Epoch(train) [11][1560/1879] lr: 2.0000e-02 eta: 21:43:43 time: 1.0259 data_time: 0.0221 memory: 27035 grad_norm: 3.6759 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7889 loss: 1.7889 2022/08/08 22:03:42 - mmengine - INFO - Epoch(train) [11][1580/1879] lr: 2.0000e-02 eta: 21:43:19 time: 1.0279 data_time: 0.0223 memory: 27035 grad_norm: 3.5754 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6904 loss: 1.6904 2022/08/08 22:04:03 - mmengine - INFO - Epoch(train) [11][1600/1879] lr: 2.0000e-02 eta: 21:42:55 time: 1.0260 data_time: 0.0214 memory: 27035 grad_norm: 3.6639 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7833 loss: 1.7833 2022/08/08 22:04:23 - mmengine - INFO - Epoch(train) [11][1620/1879] lr: 2.0000e-02 eta: 21:42:31 time: 1.0280 data_time: 0.0235 memory: 27035 grad_norm: 3.8026 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6939 loss: 1.6939 2022/08/08 22:04:44 - mmengine - INFO - Epoch(train) [11][1640/1879] lr: 2.0000e-02 eta: 21:42:07 time: 1.0276 data_time: 0.0226 memory: 27035 grad_norm: 3.7751 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6851 loss: 1.6851 2022/08/08 22:05:05 - mmengine - INFO - Epoch(train) [11][1660/1879] lr: 2.0000e-02 eta: 21:41:45 time: 1.0431 data_time: 0.0288 memory: 27035 grad_norm: 3.6783 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5982 loss: 1.5982 2022/08/08 22:05:26 - mmengine - INFO - Epoch(train) [11][1680/1879] lr: 2.0000e-02 eta: 21:41:25 time: 1.0865 data_time: 0.0482 memory: 27035 grad_norm: 3.7305 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6901 loss: 1.6901 2022/08/08 22:05:47 - mmengine - INFO - Epoch(train) [11][1700/1879] lr: 2.0000e-02 eta: 21:41:01 time: 1.0297 data_time: 0.0214 memory: 27035 grad_norm: 3.6816 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6487 loss: 1.6487 2022/08/08 22:06:07 - mmengine - INFO - Epoch(train) [11][1720/1879] lr: 2.0000e-02 eta: 21:40:38 time: 1.0250 data_time: 0.0222 memory: 27035 grad_norm: 3.7286 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7343 loss: 1.7343 2022/08/08 22:06:28 - mmengine - INFO - Epoch(train) [11][1740/1879] lr: 2.0000e-02 eta: 21:40:14 time: 1.0265 data_time: 0.0218 memory: 27035 grad_norm: 3.6912 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6762 loss: 1.6762 2022/08/08 22:06:48 - mmengine - INFO - Epoch(train) [11][1760/1879] lr: 2.0000e-02 eta: 21:39:50 time: 1.0274 data_time: 0.0226 memory: 27035 grad_norm: 3.7080 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8257 loss: 1.8257 2022/08/08 22:07:09 - mmengine - INFO - Epoch(train) [11][1780/1879] lr: 2.0000e-02 eta: 21:39:26 time: 1.0302 data_time: 0.0213 memory: 27035 grad_norm: 3.6928 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6426 loss: 1.6426 2022/08/08 22:07:30 - mmengine - INFO - Epoch(train) [11][1800/1879] lr: 2.0000e-02 eta: 21:39:04 time: 1.0464 data_time: 0.0356 memory: 27035 grad_norm: 3.7326 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6260 loss: 1.6260 2022/08/08 22:07:51 - mmengine - INFO - Epoch(train) [11][1820/1879] lr: 2.0000e-02 eta: 21:38:40 time: 1.0293 data_time: 0.0221 memory: 27035 grad_norm: 3.6843 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5628 loss: 1.5628 2022/08/08 22:08:11 - mmengine - INFO - Epoch(train) [11][1840/1879] lr: 2.0000e-02 eta: 21:38:17 time: 1.0289 data_time: 0.0222 memory: 27035 grad_norm: 3.7328 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7347 loss: 1.7347 2022/08/08 22:08:32 - mmengine - INFO - Epoch(train) [11][1860/1879] lr: 2.0000e-02 eta: 21:37:53 time: 1.0273 data_time: 0.0231 memory: 27035 grad_norm: 3.6945 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6719 loss: 1.6719 2022/08/08 22:08:51 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 22:08:51 - mmengine - INFO - Epoch(train) [11][1879/1879] lr: 2.0000e-02 eta: 21:37:53 time: 1.0204 data_time: 0.0220 memory: 27035 grad_norm: 3.8371 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.7512 loss: 1.7512 2022/08/08 22:09:08 - mmengine - INFO - Epoch(val) [11][20/155] eta: 0:01:53 time: 0.8408 data_time: 0.5698 memory: 3270 2022/08/08 22:09:17 - mmengine - INFO - Epoch(val) [11][40/155] eta: 0:00:51 time: 0.4487 data_time: 0.1807 memory: 3270 2022/08/08 22:09:31 - mmengine - INFO - Epoch(val) [11][60/155] eta: 0:01:04 time: 0.6785 data_time: 0.4098 memory: 3270 2022/08/08 22:09:41 - mmengine - INFO - Epoch(val) [11][80/155] eta: 0:00:38 time: 0.5166 data_time: 0.2460 memory: 3270 2022/08/08 22:09:55 - mmengine - INFO - Epoch(val) [11][100/155] eta: 0:00:39 time: 0.7204 data_time: 0.4495 memory: 3270 2022/08/08 22:10:12 - mmengine - INFO - Epoch(val) [11][120/155] eta: 0:00:28 time: 0.8136 data_time: 0.5428 memory: 3270 2022/08/08 22:10:26 - mmengine - INFO - Epoch(val) [11][140/155] eta: 0:00:10 time: 0.7167 data_time: 0.4489 memory: 3270 2022/08/08 22:10:39 - mmengine - INFO - Epoch(val) [11][155/155] acc/top1: 0.6080 acc/top5: 0.8405 acc/mean1: 0.6079 2022/08/08 22:10:39 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_11.pth is removed 2022/08/08 22:10:40 - mmengine - INFO - The best checkpoint with 0.6080 acc/top1 at 12 epoch is saved to best_acc/top1_epoch_12.pth. 2022/08/08 22:11:06 - mmengine - INFO - Epoch(train) [12][20/1879] lr: 2.0000e-02 eta: 21:36:15 time: 1.2754 data_time: 0.2541 memory: 27035 grad_norm: 3.6278 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6027 loss: 1.6027 2022/08/08 22:11:26 - mmengine - INFO - Epoch(train) [12][40/1879] lr: 2.0000e-02 eta: 21:35:51 time: 1.0261 data_time: 0.0217 memory: 27035 grad_norm: 3.7049 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7792 loss: 1.7792 2022/08/08 22:11:47 - mmengine - INFO - Epoch(train) [12][60/1879] lr: 2.0000e-02 eta: 21:35:28 time: 1.0265 data_time: 0.0224 memory: 27035 grad_norm: 3.5811 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7083 loss: 1.7083 2022/08/08 22:12:08 - mmengine - INFO - Epoch(train) [12][80/1879] lr: 2.0000e-02 eta: 21:35:04 time: 1.0277 data_time: 0.0224 memory: 27035 grad_norm: 3.5902 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5542 loss: 1.5542 2022/08/08 22:12:28 - mmengine - INFO - Epoch(train) [12][100/1879] lr: 2.0000e-02 eta: 21:34:41 time: 1.0335 data_time: 0.0294 memory: 27035 grad_norm: 3.6526 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6706 loss: 1.6706 2022/08/08 22:12:49 - mmengine - INFO - Epoch(train) [12][120/1879] lr: 2.0000e-02 eta: 21:34:18 time: 1.0324 data_time: 0.0228 memory: 27035 grad_norm: 3.6658 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5421 loss: 1.5421 2022/08/08 22:13:09 - mmengine - INFO - Epoch(train) [12][140/1879] lr: 2.0000e-02 eta: 21:33:54 time: 1.0282 data_time: 0.0236 memory: 27035 grad_norm: 3.6989 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6439 loss: 1.6439 2022/08/08 22:13:30 - mmengine - INFO - Epoch(train) [12][160/1879] lr: 2.0000e-02 eta: 21:33:31 time: 1.0334 data_time: 0.0283 memory: 27035 grad_norm: 3.6737 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6342 loss: 1.6342 2022/08/08 22:13:51 - mmengine - INFO - Epoch(train) [12][180/1879] lr: 2.0000e-02 eta: 21:33:07 time: 1.0295 data_time: 0.0232 memory: 27035 grad_norm: 3.7242 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5407 loss: 1.5407 2022/08/08 22:14:11 - mmengine - INFO - Epoch(train) [12][200/1879] lr: 2.0000e-02 eta: 21:32:44 time: 1.0289 data_time: 0.0227 memory: 27035 grad_norm: 3.6649 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4782 loss: 1.4782 2022/08/08 22:14:32 - mmengine - INFO - Epoch(train) [12][220/1879] lr: 2.0000e-02 eta: 21:32:20 time: 1.0288 data_time: 0.0230 memory: 27035 grad_norm: 3.6174 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7729 loss: 1.7729 2022/08/08 22:14:52 - mmengine - INFO - Epoch(train) [12][240/1879] lr: 2.0000e-02 eta: 21:31:57 time: 1.0248 data_time: 0.0229 memory: 27035 grad_norm: 3.7465 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6099 loss: 1.6099 2022/08/08 22:15:13 - mmengine - INFO - Epoch(train) [12][260/1879] lr: 2.0000e-02 eta: 21:31:34 time: 1.0407 data_time: 0.0313 memory: 27035 grad_norm: 3.6706 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5505 loss: 1.5505 2022/08/08 22:15:34 - mmengine - INFO - Epoch(train) [12][280/1879] lr: 2.0000e-02 eta: 21:31:11 time: 1.0409 data_time: 0.0305 memory: 27035 grad_norm: 3.6597 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2920 loss: 1.2920 2022/08/08 22:15:54 - mmengine - INFO - Epoch(train) [12][300/1879] lr: 2.0000e-02 eta: 21:30:47 time: 1.0242 data_time: 0.0219 memory: 27035 grad_norm: 3.6767 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6629 loss: 1.6629 2022/08/08 22:16:15 - mmengine - INFO - Epoch(train) [12][320/1879] lr: 2.0000e-02 eta: 21:30:24 time: 1.0288 data_time: 0.0234 memory: 27035 grad_norm: 3.7306 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8046 loss: 1.8046 2022/08/08 22:16:26 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 22:16:36 - mmengine - INFO - Epoch(train) [12][340/1879] lr: 2.0000e-02 eta: 21:30:00 time: 1.0256 data_time: 0.0230 memory: 27035 grad_norm: 3.5850 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4443 loss: 1.4443 2022/08/08 22:16:56 - mmengine - INFO - Epoch(train) [12][360/1879] lr: 2.0000e-02 eta: 21:29:37 time: 1.0265 data_time: 0.0225 memory: 27035 grad_norm: 3.6694 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5114 loss: 1.5114 2022/08/08 22:17:18 - mmengine - INFO - Epoch(train) [12][380/1879] lr: 2.0000e-02 eta: 21:29:16 time: 1.0737 data_time: 0.0228 memory: 27035 grad_norm: 3.7537 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6497 loss: 1.6497 2022/08/08 22:17:38 - mmengine - INFO - Epoch(train) [12][400/1879] lr: 2.0000e-02 eta: 21:28:53 time: 1.0367 data_time: 0.0240 memory: 27035 grad_norm: 3.7607 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6170 loss: 1.6170 2022/08/08 22:17:59 - mmengine - INFO - Epoch(train) [12][420/1879] lr: 2.0000e-02 eta: 21:28:30 time: 1.0302 data_time: 0.0255 memory: 27035 grad_norm: 3.7563 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8153 loss: 1.8153 2022/08/08 22:18:19 - mmengine - INFO - Epoch(train) [12][440/1879] lr: 2.0000e-02 eta: 21:28:06 time: 1.0268 data_time: 0.0221 memory: 27035 grad_norm: 3.7689 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6209 loss: 1.6209 2022/08/08 22:18:40 - mmengine - INFO - Epoch(train) [12][460/1879] lr: 2.0000e-02 eta: 21:27:43 time: 1.0296 data_time: 0.0232 memory: 27035 grad_norm: 3.7122 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5699 loss: 1.5699 2022/08/08 22:19:01 - mmengine - INFO - Epoch(train) [12][480/1879] lr: 2.0000e-02 eta: 21:27:20 time: 1.0300 data_time: 0.0223 memory: 27035 grad_norm: 3.6717 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7608 loss: 1.7608 2022/08/08 22:19:21 - mmengine - INFO - Epoch(train) [12][500/1879] lr: 2.0000e-02 eta: 21:26:57 time: 1.0404 data_time: 0.0279 memory: 27035 grad_norm: 3.7411 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7182 loss: 1.7182 2022/08/08 22:19:42 - mmengine - INFO - Epoch(train) [12][520/1879] lr: 2.0000e-02 eta: 21:26:34 time: 1.0395 data_time: 0.0308 memory: 27035 grad_norm: 3.6875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5159 loss: 1.5159 2022/08/08 22:20:03 - mmengine - INFO - Epoch(train) [12][540/1879] lr: 2.0000e-02 eta: 21:26:12 time: 1.0401 data_time: 0.0232 memory: 27035 grad_norm: 3.6412 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5479 loss: 1.5479 2022/08/08 22:20:24 - mmengine - INFO - Epoch(train) [12][560/1879] lr: 2.0000e-02 eta: 21:25:50 time: 1.0483 data_time: 0.0444 memory: 27035 grad_norm: 3.6724 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6922 loss: 1.6922 2022/08/08 22:20:45 - mmengine - INFO - Epoch(train) [12][580/1879] lr: 2.0000e-02 eta: 21:25:26 time: 1.0284 data_time: 0.0228 memory: 27035 grad_norm: 3.6382 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6364 loss: 1.6364 2022/08/08 22:21:05 - mmengine - INFO - Epoch(train) [12][600/1879] lr: 2.0000e-02 eta: 21:25:03 time: 1.0264 data_time: 0.0218 memory: 27035 grad_norm: 3.7002 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5443 loss: 1.5443 2022/08/08 22:21:26 - mmengine - INFO - Epoch(train) [12][620/1879] lr: 2.0000e-02 eta: 21:24:39 time: 1.0282 data_time: 0.0226 memory: 27035 grad_norm: 3.7721 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6321 loss: 1.6321 2022/08/08 22:21:46 - mmengine - INFO - Epoch(train) [12][640/1879] lr: 2.0000e-02 eta: 21:24:16 time: 1.0297 data_time: 0.0226 memory: 27035 grad_norm: 3.7267 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5018 loss: 1.5018 2022/08/08 22:22:07 - mmengine - INFO - Epoch(train) [12][660/1879] lr: 2.0000e-02 eta: 21:23:52 time: 1.0277 data_time: 0.0230 memory: 27035 grad_norm: 3.6856 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4012 loss: 1.4012 2022/08/08 22:22:27 - mmengine - INFO - Epoch(train) [12][680/1879] lr: 2.0000e-02 eta: 21:23:29 time: 1.0288 data_time: 0.0228 memory: 27035 grad_norm: 3.7562 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5277 loss: 1.5277 2022/08/08 22:22:48 - mmengine - INFO - Epoch(train) [12][700/1879] lr: 2.0000e-02 eta: 21:23:06 time: 1.0276 data_time: 0.0236 memory: 27035 grad_norm: 3.7174 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5198 loss: 1.5198 2022/08/08 22:23:09 - mmengine - INFO - Epoch(train) [12][720/1879] lr: 2.0000e-02 eta: 21:22:42 time: 1.0315 data_time: 0.0223 memory: 27035 grad_norm: 3.7547 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5057 loss: 1.5057 2022/08/08 22:23:29 - mmengine - INFO - Epoch(train) [12][740/1879] lr: 2.0000e-02 eta: 21:22:19 time: 1.0263 data_time: 0.0234 memory: 27035 grad_norm: 3.7696 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4296 loss: 1.4296 2022/08/08 22:23:50 - mmengine - INFO - Epoch(train) [12][760/1879] lr: 2.0000e-02 eta: 21:21:55 time: 1.0293 data_time: 0.0210 memory: 27035 grad_norm: 3.7444 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6020 loss: 1.6020 2022/08/08 22:24:10 - mmengine - INFO - Epoch(train) [12][780/1879] lr: 2.0000e-02 eta: 21:21:32 time: 1.0282 data_time: 0.0215 memory: 27035 grad_norm: 3.7111 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4226 loss: 1.4226 2022/08/08 22:24:31 - mmengine - INFO - Epoch(train) [12][800/1879] lr: 2.0000e-02 eta: 21:21:09 time: 1.0291 data_time: 0.0217 memory: 27035 grad_norm: 3.6030 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5058 loss: 1.5058 2022/08/08 22:24:51 - mmengine - INFO - Epoch(train) [12][820/1879] lr: 2.0000e-02 eta: 21:20:45 time: 1.0291 data_time: 0.0217 memory: 27035 grad_norm: 3.6997 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6247 loss: 1.6247 2022/08/08 22:25:12 - mmengine - INFO - Epoch(train) [12][840/1879] lr: 2.0000e-02 eta: 21:20:23 time: 1.0359 data_time: 0.0236 memory: 27035 grad_norm: 3.6900 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7416 loss: 1.7416 2022/08/08 22:25:33 - mmengine - INFO - Epoch(train) [12][860/1879] lr: 2.0000e-02 eta: 21:19:59 time: 1.0290 data_time: 0.0222 memory: 27035 grad_norm: 3.6759 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6113 loss: 1.6113 2022/08/08 22:25:54 - mmengine - INFO - Epoch(train) [12][880/1879] lr: 2.0000e-02 eta: 21:19:37 time: 1.0495 data_time: 0.0334 memory: 27035 grad_norm: 3.6945 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5795 loss: 1.5795 2022/08/08 22:26:14 - mmengine - INFO - Epoch(train) [12][900/1879] lr: 2.0000e-02 eta: 21:19:14 time: 1.0290 data_time: 0.0225 memory: 27035 grad_norm: 3.8405 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5670 loss: 1.5670 2022/08/08 22:26:35 - mmengine - INFO - Epoch(train) [12][920/1879] lr: 2.0000e-02 eta: 21:18:51 time: 1.0386 data_time: 0.0286 memory: 27035 grad_norm: 3.7069 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3486 loss: 1.3486 2022/08/08 22:26:56 - mmengine - INFO - Epoch(train) [12][940/1879] lr: 2.0000e-02 eta: 21:18:28 time: 1.0337 data_time: 0.0231 memory: 27035 grad_norm: 3.6464 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5794 loss: 1.5794 2022/08/08 22:27:17 - mmengine - INFO - Epoch(train) [12][960/1879] lr: 2.0000e-02 eta: 21:18:06 time: 1.0398 data_time: 0.0264 memory: 27035 grad_norm: 3.5806 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6733 loss: 1.6733 2022/08/08 22:27:37 - mmengine - INFO - Epoch(train) [12][980/1879] lr: 2.0000e-02 eta: 21:17:42 time: 1.0276 data_time: 0.0212 memory: 27035 grad_norm: 3.7529 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7149 loss: 1.7149 2022/08/08 22:27:58 - mmengine - INFO - Epoch(train) [12][1000/1879] lr: 2.0000e-02 eta: 21:17:19 time: 1.0268 data_time: 0.0231 memory: 27035 grad_norm: 3.7426 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6356 loss: 1.6356 2022/08/08 22:28:18 - mmengine - INFO - Epoch(train) [12][1020/1879] lr: 2.0000e-02 eta: 21:16:56 time: 1.0335 data_time: 0.0230 memory: 27035 grad_norm: 3.6085 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5292 loss: 1.5292 2022/08/08 22:28:39 - mmengine - INFO - Epoch(train) [12][1040/1879] lr: 2.0000e-02 eta: 21:16:33 time: 1.0330 data_time: 0.0236 memory: 27035 grad_norm: 3.6934 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5693 loss: 1.5693 2022/08/08 22:29:00 - mmengine - INFO - Epoch(train) [12][1060/1879] lr: 2.0000e-02 eta: 21:16:10 time: 1.0308 data_time: 0.0229 memory: 27035 grad_norm: 3.7509 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6767 loss: 1.6767 2022/08/08 22:29:20 - mmengine - INFO - Epoch(train) [12][1080/1879] lr: 2.0000e-02 eta: 21:15:46 time: 1.0272 data_time: 0.0229 memory: 27035 grad_norm: 3.7860 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6841 loss: 1.6841 2022/08/08 22:29:41 - mmengine - INFO - Epoch(train) [12][1100/1879] lr: 2.0000e-02 eta: 21:15:23 time: 1.0278 data_time: 0.0226 memory: 27035 grad_norm: 3.7450 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7933 loss: 1.7933 2022/08/08 22:30:01 - mmengine - INFO - Epoch(train) [12][1120/1879] lr: 2.0000e-02 eta: 21:15:00 time: 1.0283 data_time: 0.0225 memory: 27035 grad_norm: 3.7408 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6822 loss: 1.6822 2022/08/08 22:30:22 - mmengine - INFO - Epoch(train) [12][1140/1879] lr: 2.0000e-02 eta: 21:14:37 time: 1.0401 data_time: 0.0248 memory: 27035 grad_norm: 3.6809 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6600 loss: 1.6600 2022/08/08 22:30:43 - mmengine - INFO - Epoch(train) [12][1160/1879] lr: 2.0000e-02 eta: 21:14:14 time: 1.0298 data_time: 0.0216 memory: 27035 grad_norm: 3.7964 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5702 loss: 1.5702 2022/08/08 22:31:03 - mmengine - INFO - Epoch(train) [12][1180/1879] lr: 2.0000e-02 eta: 21:13:51 time: 1.0305 data_time: 0.0224 memory: 27035 grad_norm: 3.7445 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6979 loss: 1.6979 2022/08/08 22:31:24 - mmengine - INFO - Epoch(train) [12][1200/1879] lr: 2.0000e-02 eta: 21:13:28 time: 1.0347 data_time: 0.0313 memory: 27035 grad_norm: 3.6674 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5730 loss: 1.5730 2022/08/08 22:31:45 - mmengine - INFO - Epoch(train) [12][1220/1879] lr: 2.0000e-02 eta: 21:13:05 time: 1.0298 data_time: 0.0232 memory: 27035 grad_norm: 3.7007 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5545 loss: 1.5545 2022/08/08 22:32:05 - mmengine - INFO - Epoch(train) [12][1240/1879] lr: 2.0000e-02 eta: 21:12:41 time: 1.0275 data_time: 0.0227 memory: 27035 grad_norm: 3.6726 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6559 loss: 1.6559 2022/08/08 22:32:26 - mmengine - INFO - Epoch(train) [12][1260/1879] lr: 2.0000e-02 eta: 21:12:18 time: 1.0297 data_time: 0.0232 memory: 27035 grad_norm: 3.7274 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7758 loss: 1.7758 2022/08/08 22:32:46 - mmengine - INFO - Epoch(train) [12][1280/1879] lr: 2.0000e-02 eta: 21:11:55 time: 1.0292 data_time: 0.0221 memory: 27035 grad_norm: 3.6945 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5904 loss: 1.5904 2022/08/08 22:33:07 - mmengine - INFO - Epoch(train) [12][1300/1879] lr: 2.0000e-02 eta: 21:11:32 time: 1.0294 data_time: 0.0225 memory: 27035 grad_norm: 3.6645 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6934 loss: 1.6934 2022/08/08 22:33:28 - mmengine - INFO - Epoch(train) [12][1320/1879] lr: 2.0000e-02 eta: 21:11:09 time: 1.0323 data_time: 0.0216 memory: 27035 grad_norm: 3.7257 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5577 loss: 1.5577 2022/08/08 22:33:39 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 22:33:48 - mmengine - INFO - Epoch(train) [12][1340/1879] lr: 2.0000e-02 eta: 21:10:45 time: 1.0273 data_time: 0.0225 memory: 27035 grad_norm: 3.6990 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6870 loss: 1.6870 2022/08/08 22:34:09 - mmengine - INFO - Epoch(train) [12][1360/1879] lr: 2.0000e-02 eta: 21:10:23 time: 1.0371 data_time: 0.0226 memory: 27035 grad_norm: 3.7030 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.6102 loss: 1.6102 2022/08/08 22:34:29 - mmengine - INFO - Epoch(train) [12][1380/1879] lr: 2.0000e-02 eta: 21:09:59 time: 1.0251 data_time: 0.0217 memory: 27035 grad_norm: 3.6155 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.5920 loss: 1.5920 2022/08/08 22:34:50 - mmengine - INFO - Epoch(train) [12][1400/1879] lr: 2.0000e-02 eta: 21:09:36 time: 1.0289 data_time: 0.0233 memory: 27035 grad_norm: 3.6261 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6192 loss: 1.6192 2022/08/08 22:35:11 - mmengine - INFO - Epoch(train) [12][1420/1879] lr: 2.0000e-02 eta: 21:09:13 time: 1.0304 data_time: 0.0229 memory: 27035 grad_norm: 3.6348 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7562 loss: 1.7562 2022/08/08 22:35:31 - mmengine - INFO - Epoch(train) [12][1440/1879] lr: 2.0000e-02 eta: 21:08:50 time: 1.0296 data_time: 0.0230 memory: 27035 grad_norm: 3.6929 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6204 loss: 1.6204 2022/08/08 22:35:52 - mmengine - INFO - Epoch(train) [12][1460/1879] lr: 2.0000e-02 eta: 21:08:27 time: 1.0281 data_time: 0.0221 memory: 27035 grad_norm: 3.6572 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5642 loss: 1.5642 2022/08/08 22:36:12 - mmengine - INFO - Epoch(train) [12][1480/1879] lr: 2.0000e-02 eta: 21:08:03 time: 1.0265 data_time: 0.0210 memory: 27035 grad_norm: 3.6376 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5486 loss: 1.5486 2022/08/08 22:36:33 - mmengine - INFO - Epoch(train) [12][1500/1879] lr: 2.0000e-02 eta: 21:07:40 time: 1.0269 data_time: 0.0230 memory: 27035 grad_norm: 3.7636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6977 loss: 1.6977 2022/08/08 22:36:53 - mmengine - INFO - Epoch(train) [12][1520/1879] lr: 2.0000e-02 eta: 21:07:17 time: 1.0298 data_time: 0.0215 memory: 27035 grad_norm: 3.6920 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6778 loss: 1.6778 2022/08/08 22:37:14 - mmengine - INFO - Epoch(train) [12][1540/1879] lr: 2.0000e-02 eta: 21:06:55 time: 1.0437 data_time: 0.0219 memory: 27035 grad_norm: 3.7129 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4475 loss: 1.4475 2022/08/08 22:37:35 - mmengine - INFO - Epoch(train) [12][1560/1879] lr: 2.0000e-02 eta: 21:06:31 time: 1.0282 data_time: 0.0227 memory: 27035 grad_norm: 3.7468 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7442 loss: 1.7442 2022/08/08 22:37:56 - mmengine - INFO - Epoch(train) [12][1580/1879] lr: 2.0000e-02 eta: 21:06:08 time: 1.0341 data_time: 0.0306 memory: 27035 grad_norm: 3.6244 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3470 loss: 1.3470 2022/08/08 22:38:16 - mmengine - INFO - Epoch(train) [12][1600/1879] lr: 2.0000e-02 eta: 21:05:45 time: 1.0295 data_time: 0.0223 memory: 27035 grad_norm: 3.6867 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7770 loss: 1.7770 2022/08/08 22:38:37 - mmengine - INFO - Epoch(train) [12][1620/1879] lr: 2.0000e-02 eta: 21:05:22 time: 1.0270 data_time: 0.0239 memory: 27035 grad_norm: 3.6483 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6374 loss: 1.6374 2022/08/08 22:38:57 - mmengine - INFO - Epoch(train) [12][1640/1879] lr: 2.0000e-02 eta: 21:04:59 time: 1.0292 data_time: 0.0246 memory: 27035 grad_norm: 3.7145 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5838 loss: 1.5838 2022/08/08 22:39:18 - mmengine - INFO - Epoch(train) [12][1660/1879] lr: 2.0000e-02 eta: 21:04:36 time: 1.0299 data_time: 0.0231 memory: 27035 grad_norm: 3.6058 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6037 loss: 1.6037 2022/08/08 22:39:38 - mmengine - INFO - Epoch(train) [12][1680/1879] lr: 2.0000e-02 eta: 21:04:13 time: 1.0280 data_time: 0.0227 memory: 27035 grad_norm: 3.7597 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5780 loss: 1.5780 2022/08/08 22:39:59 - mmengine - INFO - Epoch(train) [12][1700/1879] lr: 2.0000e-02 eta: 21:03:49 time: 1.0271 data_time: 0.0231 memory: 27035 grad_norm: 3.6885 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6344 loss: 1.6344 2022/08/08 22:40:20 - mmengine - INFO - Epoch(train) [12][1720/1879] lr: 2.0000e-02 eta: 21:03:27 time: 1.0428 data_time: 0.0258 memory: 27035 grad_norm: 3.8157 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6151 loss: 1.6151 2022/08/08 22:40:41 - mmengine - INFO - Epoch(train) [12][1740/1879] lr: 2.0000e-02 eta: 21:03:04 time: 1.0327 data_time: 0.0228 memory: 27035 grad_norm: 3.6877 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5736 loss: 1.5736 2022/08/08 22:41:01 - mmengine - INFO - Epoch(train) [12][1760/1879] lr: 2.0000e-02 eta: 21:02:41 time: 1.0266 data_time: 0.0232 memory: 27035 grad_norm: 3.7853 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8260 loss: 1.8260 2022/08/08 22:41:22 - mmengine - INFO - Epoch(train) [12][1780/1879] lr: 2.0000e-02 eta: 21:02:18 time: 1.0283 data_time: 0.0223 memory: 27035 grad_norm: 3.6935 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5982 loss: 1.5982 2022/08/08 22:41:42 - mmengine - INFO - Epoch(train) [12][1800/1879] lr: 2.0000e-02 eta: 21:01:54 time: 1.0254 data_time: 0.0226 memory: 27035 grad_norm: 3.6717 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5245 loss: 1.5245 2022/08/08 22:42:03 - mmengine - INFO - Epoch(train) [12][1820/1879] lr: 2.0000e-02 eta: 21:01:31 time: 1.0282 data_time: 0.0225 memory: 27035 grad_norm: 3.7820 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5134 loss: 1.5134 2022/08/08 22:42:23 - mmengine - INFO - Epoch(train) [12][1840/1879] lr: 2.0000e-02 eta: 21:01:08 time: 1.0290 data_time: 0.0243 memory: 27035 grad_norm: 3.7570 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5430 loss: 1.5430 2022/08/08 22:42:44 - mmengine - INFO - Epoch(train) [12][1860/1879] lr: 2.0000e-02 eta: 21:00:45 time: 1.0310 data_time: 0.0259 memory: 27035 grad_norm: 3.6532 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5303 loss: 1.5303 2022/08/08 22:43:03 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 22:43:03 - mmengine - INFO - Epoch(train) [12][1879/1879] lr: 2.0000e-02 eta: 21:00:45 time: 1.0198 data_time: 0.0234 memory: 27035 grad_norm: 3.7098 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.6855 loss: 1.6855 2022/08/08 22:43:03 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/08/08 22:43:21 - mmengine - INFO - Epoch(val) [12][20/155] eta: 0:01:51 time: 0.8290 data_time: 0.5556 memory: 3270 2022/08/08 22:43:33 - mmengine - INFO - Epoch(val) [12][40/155] eta: 0:01:05 time: 0.5709 data_time: 0.2983 memory: 3270 2022/08/08 22:43:47 - mmengine - INFO - Epoch(val) [12][60/155] eta: 0:01:06 time: 0.6950 data_time: 0.4217 memory: 3270 2022/08/08 22:43:58 - mmengine - INFO - Epoch(val) [12][80/155] eta: 0:00:42 time: 0.5689 data_time: 0.2994 memory: 3270 2022/08/08 22:44:11 - mmengine - INFO - Epoch(val) [12][100/155] eta: 0:00:36 time: 0.6579 data_time: 0.3902 memory: 3270 2022/08/08 22:44:24 - mmengine - INFO - Epoch(val) [12][120/155] eta: 0:00:22 time: 0.6488 data_time: 0.3802 memory: 3270 2022/08/08 22:44:38 - mmengine - INFO - Epoch(val) [12][140/155] eta: 0:00:10 time: 0.6690 data_time: 0.4035 memory: 3270 2022/08/08 22:44:47 - mmengine - INFO - Epoch(val) [12][155/155] acc/top1: 0.6129 acc/top5: 0.8446 acc/mean1: 0.6127 2022/08/08 22:44:47 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_12.pth is removed 2022/08/08 22:44:48 - mmengine - INFO - The best checkpoint with 0.6129 acc/top1 at 13 epoch is saved to best_acc/top1_epoch_13.pth. 2022/08/08 22:45:14 - mmengine - INFO - Epoch(train) [13][20/1879] lr: 2.0000e-02 eta: 20:59:15 time: 1.2979 data_time: 0.2265 memory: 27035 grad_norm: 3.6349 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4920 loss: 1.4920 2022/08/08 22:45:35 - mmengine - INFO - Epoch(train) [13][40/1879] lr: 2.0000e-02 eta: 20:58:52 time: 1.0248 data_time: 0.0229 memory: 27035 grad_norm: 3.6164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4004 loss: 1.4004 2022/08/08 22:45:55 - mmengine - INFO - Epoch(train) [13][60/1879] lr: 2.0000e-02 eta: 20:58:29 time: 1.0268 data_time: 0.0226 memory: 27035 grad_norm: 3.6296 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5873 loss: 1.5873 2022/08/08 22:46:16 - mmengine - INFO - Epoch(train) [13][80/1879] lr: 2.0000e-02 eta: 20:58:06 time: 1.0273 data_time: 0.0220 memory: 27035 grad_norm: 3.7228 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2935 loss: 1.2935 2022/08/08 22:46:36 - mmengine - INFO - Epoch(train) [13][100/1879] lr: 2.0000e-02 eta: 20:57:43 time: 1.0268 data_time: 0.0220 memory: 27035 grad_norm: 3.6807 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7050 loss: 1.7050 2022/08/08 22:46:57 - mmengine - INFO - Epoch(train) [13][120/1879] lr: 2.0000e-02 eta: 20:57:20 time: 1.0303 data_time: 0.0226 memory: 27035 grad_norm: 3.6686 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4461 loss: 1.4461 2022/08/08 22:47:18 - mmengine - INFO - Epoch(train) [13][140/1879] lr: 2.0000e-02 eta: 20:56:57 time: 1.0343 data_time: 0.0220 memory: 27035 grad_norm: 3.6532 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6875 loss: 1.6875 2022/08/08 22:47:38 - mmengine - INFO - Epoch(train) [13][160/1879] lr: 2.0000e-02 eta: 20:56:34 time: 1.0312 data_time: 0.0219 memory: 27035 grad_norm: 3.6217 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6417 loss: 1.6417 2022/08/08 22:47:59 - mmengine - INFO - Epoch(train) [13][180/1879] lr: 2.0000e-02 eta: 20:56:11 time: 1.0284 data_time: 0.0229 memory: 27035 grad_norm: 3.6909 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7523 loss: 1.7523 2022/08/08 22:48:19 - mmengine - INFO - Epoch(train) [13][200/1879] lr: 2.0000e-02 eta: 20:55:48 time: 1.0320 data_time: 0.0245 memory: 27035 grad_norm: 3.6108 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3925 loss: 1.3925 2022/08/08 22:48:40 - mmengine - INFO - Epoch(train) [13][220/1879] lr: 2.0000e-02 eta: 20:55:25 time: 1.0301 data_time: 0.0234 memory: 27035 grad_norm: 3.7057 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4111 loss: 1.4111 2022/08/08 22:49:01 - mmengine - INFO - Epoch(train) [13][240/1879] lr: 2.0000e-02 eta: 20:55:02 time: 1.0289 data_time: 0.0236 memory: 27035 grad_norm: 3.7234 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5481 loss: 1.5481 2022/08/08 22:49:21 - mmengine - INFO - Epoch(train) [13][260/1879] lr: 2.0000e-02 eta: 20:54:39 time: 1.0251 data_time: 0.0229 memory: 27035 grad_norm: 3.6599 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6808 loss: 1.6808 2022/08/08 22:49:42 - mmengine - INFO - Epoch(train) [13][280/1879] lr: 2.0000e-02 eta: 20:54:16 time: 1.0292 data_time: 0.0247 memory: 27035 grad_norm: 3.6924 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7358 loss: 1.7358 2022/08/08 22:50:02 - mmengine - INFO - Epoch(train) [13][300/1879] lr: 2.0000e-02 eta: 20:53:53 time: 1.0283 data_time: 0.0236 memory: 27035 grad_norm: 3.5949 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7068 loss: 1.7068 2022/08/08 22:50:24 - mmengine - INFO - Epoch(train) [13][320/1879] lr: 2.0000e-02 eta: 20:53:33 time: 1.0811 data_time: 0.0744 memory: 27035 grad_norm: 3.6050 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7000 loss: 1.7000 2022/08/08 22:50:44 - mmengine - INFO - Epoch(train) [13][340/1879] lr: 2.0000e-02 eta: 20:53:11 time: 1.0317 data_time: 0.0221 memory: 27035 grad_norm: 3.7274 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7804 loss: 1.7804 2022/08/08 22:51:05 - mmengine - INFO - Epoch(train) [13][360/1879] lr: 2.0000e-02 eta: 20:52:48 time: 1.0299 data_time: 0.0225 memory: 27035 grad_norm: 3.7278 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5284 loss: 1.5284 2022/08/08 22:51:26 - mmengine - INFO - Epoch(train) [13][380/1879] lr: 2.0000e-02 eta: 20:52:25 time: 1.0372 data_time: 0.0297 memory: 27035 grad_norm: 3.6396 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5535 loss: 1.5535 2022/08/08 22:51:46 - mmengine - INFO - Epoch(train) [13][400/1879] lr: 2.0000e-02 eta: 20:52:02 time: 1.0257 data_time: 0.0224 memory: 27035 grad_norm: 3.6123 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5079 loss: 1.5079 2022/08/08 22:52:07 - mmengine - INFO - Epoch(train) [13][420/1879] lr: 2.0000e-02 eta: 20:51:39 time: 1.0308 data_time: 0.0230 memory: 27035 grad_norm: 3.7131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5793 loss: 1.5793 2022/08/08 22:52:28 - mmengine - INFO - Epoch(train) [13][440/1879] lr: 2.0000e-02 eta: 20:51:16 time: 1.0306 data_time: 0.0236 memory: 27035 grad_norm: 3.6278 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5744 loss: 1.5744 2022/08/08 22:52:40 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 22:52:48 - mmengine - INFO - Epoch(train) [13][460/1879] lr: 2.0000e-02 eta: 20:50:53 time: 1.0278 data_time: 0.0235 memory: 27035 grad_norm: 3.6427 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3652 loss: 1.3652 2022/08/08 22:53:09 - mmengine - INFO - Epoch(train) [13][480/1879] lr: 2.0000e-02 eta: 20:50:30 time: 1.0289 data_time: 0.0226 memory: 27035 grad_norm: 3.6931 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6172 loss: 1.6172 2022/08/08 22:53:29 - mmengine - INFO - Epoch(train) [13][500/1879] lr: 2.0000e-02 eta: 20:50:07 time: 1.0263 data_time: 0.0237 memory: 27035 grad_norm: 3.6846 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4187 loss: 1.4187 2022/08/08 22:53:50 - mmengine - INFO - Epoch(train) [13][520/1879] lr: 2.0000e-02 eta: 20:49:44 time: 1.0301 data_time: 0.0231 memory: 27035 grad_norm: 3.7311 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6724 loss: 1.6724 2022/08/08 22:54:10 - mmengine - INFO - Epoch(train) [13][540/1879] lr: 2.0000e-02 eta: 20:49:22 time: 1.0297 data_time: 0.0224 memory: 27035 grad_norm: 3.6449 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4618 loss: 1.4618 2022/08/08 22:54:31 - mmengine - INFO - Epoch(train) [13][560/1879] lr: 2.0000e-02 eta: 20:48:59 time: 1.0348 data_time: 0.0224 memory: 27035 grad_norm: 3.7219 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5289 loss: 1.5289 2022/08/08 22:54:52 - mmengine - INFO - Epoch(train) [13][580/1879] lr: 2.0000e-02 eta: 20:48:36 time: 1.0353 data_time: 0.0216 memory: 27035 grad_norm: 3.6648 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6463 loss: 1.6463 2022/08/08 22:55:12 - mmengine - INFO - Epoch(train) [13][600/1879] lr: 2.0000e-02 eta: 20:48:14 time: 1.0326 data_time: 0.0236 memory: 27035 grad_norm: 3.5909 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5156 loss: 1.5156 2022/08/08 22:55:33 - mmengine - INFO - Epoch(train) [13][620/1879] lr: 2.0000e-02 eta: 20:47:51 time: 1.0325 data_time: 0.0229 memory: 27035 grad_norm: 3.8442 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6622 loss: 1.6622 2022/08/08 22:55:54 - mmengine - INFO - Epoch(train) [13][640/1879] lr: 2.0000e-02 eta: 20:47:29 time: 1.0406 data_time: 0.0240 memory: 27035 grad_norm: 3.7529 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4636 loss: 1.4636 2022/08/08 22:56:14 - mmengine - INFO - Epoch(train) [13][660/1879] lr: 2.0000e-02 eta: 20:47:06 time: 1.0263 data_time: 0.0230 memory: 27035 grad_norm: 3.7509 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6754 loss: 1.6754 2022/08/08 22:56:35 - mmengine - INFO - Epoch(train) [13][680/1879] lr: 2.0000e-02 eta: 20:46:43 time: 1.0294 data_time: 0.0229 memory: 27035 grad_norm: 3.7089 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.3603 loss: 1.3603 2022/08/08 22:56:56 - mmengine - INFO - Epoch(train) [13][700/1879] lr: 2.0000e-02 eta: 20:46:20 time: 1.0273 data_time: 0.0226 memory: 27035 grad_norm: 3.7236 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.6928 loss: 1.6928 2022/08/08 22:57:16 - mmengine - INFO - Epoch(train) [13][720/1879] lr: 2.0000e-02 eta: 20:45:58 time: 1.0394 data_time: 0.0215 memory: 27035 grad_norm: 3.6687 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7587 loss: 1.7587 2022/08/08 22:57:37 - mmengine - INFO - Epoch(train) [13][740/1879] lr: 2.0000e-02 eta: 20:45:35 time: 1.0295 data_time: 0.0222 memory: 27035 grad_norm: 3.6944 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4618 loss: 1.4618 2022/08/08 22:57:58 - mmengine - INFO - Epoch(train) [13][760/1879] lr: 2.0000e-02 eta: 20:45:12 time: 1.0279 data_time: 0.0230 memory: 27035 grad_norm: 3.6403 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5961 loss: 1.5961 2022/08/08 22:58:18 - mmengine - INFO - Epoch(train) [13][780/1879] lr: 2.0000e-02 eta: 20:44:49 time: 1.0272 data_time: 0.0229 memory: 27035 grad_norm: 3.7890 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6259 loss: 1.6259 2022/08/08 22:58:39 - mmengine - INFO - Epoch(train) [13][800/1879] lr: 2.0000e-02 eta: 20:44:26 time: 1.0273 data_time: 0.0229 memory: 27035 grad_norm: 3.7113 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5279 loss: 1.5279 2022/08/08 22:58:59 - mmengine - INFO - Epoch(train) [13][820/1879] lr: 2.0000e-02 eta: 20:44:03 time: 1.0301 data_time: 0.0234 memory: 27035 grad_norm: 3.6815 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7167 loss: 1.7167 2022/08/08 22:59:20 - mmengine - INFO - Epoch(train) [13][840/1879] lr: 2.0000e-02 eta: 20:43:41 time: 1.0347 data_time: 0.0283 memory: 27035 grad_norm: 3.6122 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6097 loss: 1.6097 2022/08/08 22:59:41 - mmengine - INFO - Epoch(train) [13][860/1879] lr: 2.0000e-02 eta: 20:43:18 time: 1.0275 data_time: 0.0237 memory: 27035 grad_norm: 3.5755 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4465 loss: 1.4465 2022/08/08 23:00:01 - mmengine - INFO - Epoch(train) [13][880/1879] lr: 2.0000e-02 eta: 20:42:55 time: 1.0380 data_time: 0.0310 memory: 27035 grad_norm: 3.7528 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6534 loss: 1.6534 2022/08/08 23:00:22 - mmengine - INFO - Epoch(train) [13][900/1879] lr: 2.0000e-02 eta: 20:42:33 time: 1.0364 data_time: 0.0255 memory: 27035 grad_norm: 3.6028 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4845 loss: 1.4845 2022/08/08 23:00:43 - mmengine - INFO - Epoch(train) [13][920/1879] lr: 2.0000e-02 eta: 20:42:10 time: 1.0324 data_time: 0.0219 memory: 27035 grad_norm: 3.7015 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.6042 loss: 1.6042 2022/08/08 23:01:03 - mmengine - INFO - Epoch(train) [13][940/1879] lr: 2.0000e-02 eta: 20:41:47 time: 1.0300 data_time: 0.0212 memory: 27035 grad_norm: 3.7407 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6119 loss: 1.6119 2022/08/08 23:01:24 - mmengine - INFO - Epoch(train) [13][960/1879] lr: 2.0000e-02 eta: 20:41:24 time: 1.0270 data_time: 0.0217 memory: 27035 grad_norm: 3.6551 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8024 loss: 1.8024 2022/08/08 23:01:44 - mmengine - INFO - Epoch(train) [13][980/1879] lr: 2.0000e-02 eta: 20:41:01 time: 1.0269 data_time: 0.0225 memory: 27035 grad_norm: 3.7494 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7888 loss: 1.7888 2022/08/08 23:02:05 - mmengine - INFO - Epoch(train) [13][1000/1879] lr: 2.0000e-02 eta: 20:40:38 time: 1.0271 data_time: 0.0223 memory: 27035 grad_norm: 3.7242 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5702 loss: 1.5702 2022/08/08 23:02:25 - mmengine - INFO - Epoch(train) [13][1020/1879] lr: 2.0000e-02 eta: 20:40:16 time: 1.0287 data_time: 0.0216 memory: 27035 grad_norm: 3.6947 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6961 loss: 1.6961 2022/08/08 23:02:46 - mmengine - INFO - Epoch(train) [13][1040/1879] lr: 2.0000e-02 eta: 20:39:53 time: 1.0272 data_time: 0.0231 memory: 27035 grad_norm: 3.7422 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8466 loss: 1.8466 2022/08/08 23:03:07 - mmengine - INFO - Epoch(train) [13][1060/1879] lr: 2.0000e-02 eta: 20:39:30 time: 1.0290 data_time: 0.0229 memory: 27035 grad_norm: 3.7850 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5848 loss: 1.5848 2022/08/08 23:03:27 - mmengine - INFO - Epoch(train) [13][1080/1879] lr: 2.0000e-02 eta: 20:39:07 time: 1.0294 data_time: 0.0237 memory: 27035 grad_norm: 3.7002 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4940 loss: 1.4940 2022/08/08 23:03:48 - mmengine - INFO - Epoch(train) [13][1100/1879] lr: 2.0000e-02 eta: 20:38:44 time: 1.0277 data_time: 0.0216 memory: 27035 grad_norm: 3.7065 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.3216 loss: 1.3216 2022/08/08 23:04:08 - mmengine - INFO - Epoch(train) [13][1120/1879] lr: 2.0000e-02 eta: 20:38:21 time: 1.0279 data_time: 0.0238 memory: 27035 grad_norm: 3.7150 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5485 loss: 1.5485 2022/08/08 23:04:29 - mmengine - INFO - Epoch(train) [13][1140/1879] lr: 2.0000e-02 eta: 20:37:59 time: 1.0324 data_time: 0.0231 memory: 27035 grad_norm: 3.6555 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7626 loss: 1.7626 2022/08/08 23:04:50 - mmengine - INFO - Epoch(train) [13][1160/1879] lr: 2.0000e-02 eta: 20:37:36 time: 1.0345 data_time: 0.0224 memory: 27035 grad_norm: 3.7041 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5130 loss: 1.5130 2022/08/08 23:05:10 - mmengine - INFO - Epoch(train) [13][1180/1879] lr: 2.0000e-02 eta: 20:37:13 time: 1.0285 data_time: 0.0227 memory: 27035 grad_norm: 3.6627 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7303 loss: 1.7303 2022/08/08 23:05:31 - mmengine - INFO - Epoch(train) [13][1200/1879] lr: 2.0000e-02 eta: 20:36:51 time: 1.0307 data_time: 0.0225 memory: 27035 grad_norm: 3.7334 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7604 loss: 1.7604 2022/08/08 23:05:51 - mmengine - INFO - Epoch(train) [13][1220/1879] lr: 2.0000e-02 eta: 20:36:28 time: 1.0276 data_time: 0.0231 memory: 27035 grad_norm: 3.7589 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5078 loss: 1.5078 2022/08/08 23:06:12 - mmengine - INFO - Epoch(train) [13][1240/1879] lr: 2.0000e-02 eta: 20:36:05 time: 1.0297 data_time: 0.0239 memory: 27035 grad_norm: 3.5987 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5321 loss: 1.5321 2022/08/08 23:06:33 - mmengine - INFO - Epoch(train) [13][1260/1879] lr: 2.0000e-02 eta: 20:35:42 time: 1.0324 data_time: 0.0230 memory: 27035 grad_norm: 3.6410 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6842 loss: 1.6842 2022/08/08 23:06:53 - mmengine - INFO - Epoch(train) [13][1280/1879] lr: 2.0000e-02 eta: 20:35:20 time: 1.0292 data_time: 0.0230 memory: 27035 grad_norm: 3.6579 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6826 loss: 1.6826 2022/08/08 23:07:14 - mmengine - INFO - Epoch(train) [13][1300/1879] lr: 2.0000e-02 eta: 20:34:58 time: 1.0533 data_time: 0.0234 memory: 27035 grad_norm: 3.6100 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4112 loss: 1.4112 2022/08/08 23:07:35 - mmengine - INFO - Epoch(train) [13][1320/1879] lr: 2.0000e-02 eta: 20:34:35 time: 1.0285 data_time: 0.0225 memory: 27035 grad_norm: 3.7119 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4758 loss: 1.4758 2022/08/08 23:07:55 - mmengine - INFO - Epoch(train) [13][1340/1879] lr: 2.0000e-02 eta: 20:34:13 time: 1.0277 data_time: 0.0231 memory: 27035 grad_norm: 3.7318 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6179 loss: 1.6179 2022/08/08 23:08:16 - mmengine - INFO - Epoch(train) [13][1360/1879] lr: 2.0000e-02 eta: 20:33:50 time: 1.0284 data_time: 0.0231 memory: 27035 grad_norm: 3.7469 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5924 loss: 1.5924 2022/08/08 23:08:37 - mmengine - INFO - Epoch(train) [13][1380/1879] lr: 2.0000e-02 eta: 20:33:27 time: 1.0316 data_time: 0.0280 memory: 27035 grad_norm: 3.6932 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6864 loss: 1.6864 2022/08/08 23:08:57 - mmengine - INFO - Epoch(train) [13][1400/1879] lr: 2.0000e-02 eta: 20:33:04 time: 1.0293 data_time: 0.0229 memory: 27035 grad_norm: 3.6728 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7132 loss: 1.7132 2022/08/08 23:09:18 - mmengine - INFO - Epoch(train) [13][1420/1879] lr: 2.0000e-02 eta: 20:32:41 time: 1.0268 data_time: 0.0228 memory: 27035 grad_norm: 3.6617 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6337 loss: 1.6337 2022/08/08 23:09:38 - mmengine - INFO - Epoch(train) [13][1440/1879] lr: 2.0000e-02 eta: 20:32:19 time: 1.0290 data_time: 0.0228 memory: 27035 grad_norm: 3.7048 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4609 loss: 1.4609 2022/08/08 23:09:51 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 23:09:59 - mmengine - INFO - Epoch(train) [13][1460/1879] lr: 2.0000e-02 eta: 20:31:56 time: 1.0268 data_time: 0.0233 memory: 27035 grad_norm: 3.7375 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5512 loss: 1.5512 2022/08/08 23:10:20 - mmengine - INFO - Epoch(train) [13][1480/1879] lr: 2.0000e-02 eta: 20:31:33 time: 1.0327 data_time: 0.0231 memory: 27035 grad_norm: 3.8143 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7388 loss: 1.7388 2022/08/08 23:10:40 - mmengine - INFO - Epoch(train) [13][1500/1879] lr: 2.0000e-02 eta: 20:31:10 time: 1.0286 data_time: 0.0240 memory: 27035 grad_norm: 3.6309 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7726 loss: 1.7726 2022/08/08 23:11:01 - mmengine - INFO - Epoch(train) [13][1520/1879] lr: 2.0000e-02 eta: 20:30:48 time: 1.0325 data_time: 0.0290 memory: 27035 grad_norm: 3.6932 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.5259 loss: 1.5259 2022/08/08 23:11:21 - mmengine - INFO - Epoch(train) [13][1540/1879] lr: 2.0000e-02 eta: 20:30:25 time: 1.0336 data_time: 0.0231 memory: 27035 grad_norm: 3.7559 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7014 loss: 1.7014 2022/08/08 23:11:42 - mmengine - INFO - Epoch(train) [13][1560/1879] lr: 2.0000e-02 eta: 20:30:03 time: 1.0302 data_time: 0.0229 memory: 27035 grad_norm: 3.6636 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4717 loss: 1.4717 2022/08/08 23:12:03 - mmengine - INFO - Epoch(train) [13][1580/1879] lr: 2.0000e-02 eta: 20:29:40 time: 1.0329 data_time: 0.0288 memory: 27035 grad_norm: 3.7284 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7085 loss: 1.7085 2022/08/08 23:12:23 - mmengine - INFO - Epoch(train) [13][1600/1879] lr: 2.0000e-02 eta: 20:29:17 time: 1.0280 data_time: 0.0226 memory: 27035 grad_norm: 3.7418 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5620 loss: 1.5620 2022/08/08 23:12:44 - mmengine - INFO - Epoch(train) [13][1620/1879] lr: 2.0000e-02 eta: 20:28:55 time: 1.0369 data_time: 0.0231 memory: 27035 grad_norm: 3.7819 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7354 loss: 1.7354 2022/08/08 23:13:05 - mmengine - INFO - Epoch(train) [13][1640/1879] lr: 2.0000e-02 eta: 20:28:33 time: 1.0332 data_time: 0.0239 memory: 27035 grad_norm: 3.7062 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4617 loss: 1.4617 2022/08/08 23:13:25 - mmengine - INFO - Epoch(train) [13][1660/1879] lr: 2.0000e-02 eta: 20:28:10 time: 1.0269 data_time: 0.0223 memory: 27035 grad_norm: 3.7284 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5666 loss: 1.5666 2022/08/08 23:13:46 - mmengine - INFO - Epoch(train) [13][1680/1879] lr: 2.0000e-02 eta: 20:27:47 time: 1.0279 data_time: 0.0228 memory: 27035 grad_norm: 3.6083 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6471 loss: 1.6471 2022/08/08 23:14:07 - mmengine - INFO - Epoch(train) [13][1700/1879] lr: 2.0000e-02 eta: 20:27:25 time: 1.0449 data_time: 0.0305 memory: 27035 grad_norm: 3.6509 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5740 loss: 1.5740 2022/08/08 23:14:27 - mmengine - INFO - Epoch(train) [13][1720/1879] lr: 2.0000e-02 eta: 20:27:03 time: 1.0294 data_time: 0.0231 memory: 27035 grad_norm: 3.6165 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5682 loss: 1.5682 2022/08/08 23:14:48 - mmengine - INFO - Epoch(train) [13][1740/1879] lr: 2.0000e-02 eta: 20:26:40 time: 1.0297 data_time: 0.0226 memory: 27035 grad_norm: 3.6611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4011 loss: 1.4011 2022/08/08 23:15:08 - mmengine - INFO - Epoch(train) [13][1760/1879] lr: 2.0000e-02 eta: 20:26:17 time: 1.0280 data_time: 0.0237 memory: 27035 grad_norm: 3.6356 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7392 loss: 1.7392 2022/08/08 23:15:29 - mmengine - INFO - Epoch(train) [13][1780/1879] lr: 2.0000e-02 eta: 20:25:55 time: 1.0305 data_time: 0.0241 memory: 27035 grad_norm: 3.6086 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5093 loss: 1.5093 2022/08/08 23:15:50 - mmengine - INFO - Epoch(train) [13][1800/1879] lr: 2.0000e-02 eta: 20:25:32 time: 1.0303 data_time: 0.0239 memory: 27035 grad_norm: 3.6674 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6842 loss: 1.6842 2022/08/08 23:16:10 - mmengine - INFO - Epoch(train) [13][1820/1879] lr: 2.0000e-02 eta: 20:25:09 time: 1.0298 data_time: 0.0246 memory: 27035 grad_norm: 3.6776 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4599 loss: 1.4599 2022/08/08 23:16:31 - mmengine - INFO - Epoch(train) [13][1840/1879] lr: 2.0000e-02 eta: 20:24:47 time: 1.0398 data_time: 0.0322 memory: 27035 grad_norm: 3.6268 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3682 loss: 1.3682 2022/08/08 23:16:52 - mmengine - INFO - Epoch(train) [13][1860/1879] lr: 2.0000e-02 eta: 20:24:24 time: 1.0263 data_time: 0.0235 memory: 27035 grad_norm: 3.6172 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5532 loss: 1.5532 2022/08/08 23:17:11 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 23:17:11 - mmengine - INFO - Epoch(train) [13][1879/1879] lr: 2.0000e-02 eta: 20:24:24 time: 1.0289 data_time: 0.0239 memory: 27035 grad_norm: 3.7476 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7788 loss: 1.7788 2022/08/08 23:17:28 - mmengine - INFO - Epoch(val) [13][20/155] eta: 0:01:51 time: 0.8289 data_time: 0.5578 memory: 3270 2022/08/08 23:17:38 - mmengine - INFO - Epoch(val) [13][40/155] eta: 0:00:59 time: 0.5156 data_time: 0.2459 memory: 3270 2022/08/08 23:17:52 - mmengine - INFO - Epoch(val) [13][60/155] eta: 0:01:07 time: 0.7128 data_time: 0.4424 memory: 3270 2022/08/08 23:18:05 - mmengine - INFO - Epoch(val) [13][80/155] eta: 0:00:47 time: 0.6348 data_time: 0.3631 memory: 3270 2022/08/08 23:18:18 - mmengine - INFO - Epoch(val) [13][100/155] eta: 0:00:36 time: 0.6653 data_time: 0.3941 memory: 3270 2022/08/08 23:18:31 - mmengine - INFO - Epoch(val) [13][120/155] eta: 0:00:21 time: 0.6217 data_time: 0.3536 memory: 3270 2022/08/08 23:18:41 - mmengine - INFO - Epoch(val) [13][140/155] eta: 0:00:07 time: 0.5274 data_time: 0.2587 memory: 3270 2022/08/08 23:18:52 - mmengine - INFO - Epoch(val) [13][155/155] acc/top1: 0.6082 acc/top5: 0.8400 acc/mean1: 0.6079 2022/08/08 23:19:19 - mmengine - INFO - Epoch(train) [14][20/1879] lr: 2.0000e-02 eta: 20:23:01 time: 1.3231 data_time: 0.2446 memory: 27035 grad_norm: 3.6838 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5584 loss: 1.5584 2022/08/08 23:19:39 - mmengine - INFO - Epoch(train) [14][40/1879] lr: 2.0000e-02 eta: 20:22:39 time: 1.0327 data_time: 0.0301 memory: 27035 grad_norm: 3.5879 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4570 loss: 1.4570 2022/08/08 23:20:00 - mmengine - INFO - Epoch(train) [14][60/1879] lr: 2.0000e-02 eta: 20:22:16 time: 1.0283 data_time: 0.0237 memory: 27035 grad_norm: 3.7244 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4979 loss: 1.4979 2022/08/08 23:20:20 - mmengine - INFO - Epoch(train) [14][80/1879] lr: 2.0000e-02 eta: 20:21:54 time: 1.0347 data_time: 0.0258 memory: 27035 grad_norm: 3.7273 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6445 loss: 1.6445 2022/08/08 23:20:41 - mmengine - INFO - Epoch(train) [14][100/1879] lr: 2.0000e-02 eta: 20:21:31 time: 1.0307 data_time: 0.0236 memory: 27035 grad_norm: 3.5186 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5059 loss: 1.5059 2022/08/08 23:21:02 - mmengine - INFO - Epoch(train) [14][120/1879] lr: 2.0000e-02 eta: 20:21:09 time: 1.0338 data_time: 0.0304 memory: 27035 grad_norm: 3.6580 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4915 loss: 1.4915 2022/08/08 23:21:22 - mmengine - INFO - Epoch(train) [14][140/1879] lr: 2.0000e-02 eta: 20:20:47 time: 1.0364 data_time: 0.0280 memory: 27035 grad_norm: 3.7561 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6788 loss: 1.6788 2022/08/08 23:21:43 - mmengine - INFO - Epoch(train) [14][160/1879] lr: 2.0000e-02 eta: 20:20:24 time: 1.0286 data_time: 0.0232 memory: 27035 grad_norm: 3.6544 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6103 loss: 1.6103 2022/08/08 23:22:04 - mmengine - INFO - Epoch(train) [14][180/1879] lr: 2.0000e-02 eta: 20:20:01 time: 1.0272 data_time: 0.0233 memory: 27035 grad_norm: 3.7604 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4207 loss: 1.4207 2022/08/08 23:22:24 - mmengine - INFO - Epoch(train) [14][200/1879] lr: 2.0000e-02 eta: 20:19:39 time: 1.0252 data_time: 0.0231 memory: 27035 grad_norm: 3.7093 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4097 loss: 1.4097 2022/08/08 23:22:45 - mmengine - INFO - Epoch(train) [14][220/1879] lr: 2.0000e-02 eta: 20:19:16 time: 1.0275 data_time: 0.0231 memory: 27035 grad_norm: 3.6700 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6255 loss: 1.6255 2022/08/08 23:23:05 - mmengine - INFO - Epoch(train) [14][240/1879] lr: 2.0000e-02 eta: 20:18:53 time: 1.0258 data_time: 0.0238 memory: 27035 grad_norm: 3.7009 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4529 loss: 1.4529 2022/08/08 23:23:26 - mmengine - INFO - Epoch(train) [14][260/1879] lr: 2.0000e-02 eta: 20:18:30 time: 1.0272 data_time: 0.0231 memory: 27035 grad_norm: 3.6863 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5122 loss: 1.5122 2022/08/08 23:23:46 - mmengine - INFO - Epoch(train) [14][280/1879] lr: 2.0000e-02 eta: 20:18:08 time: 1.0263 data_time: 0.0237 memory: 27035 grad_norm: 3.7001 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5354 loss: 1.5354 2022/08/08 23:24:07 - mmengine - INFO - Epoch(train) [14][300/1879] lr: 2.0000e-02 eta: 20:17:45 time: 1.0275 data_time: 0.0228 memory: 27035 grad_norm: 3.5979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6596 loss: 1.6596 2022/08/08 23:24:27 - mmengine - INFO - Epoch(train) [14][320/1879] lr: 2.0000e-02 eta: 20:17:22 time: 1.0237 data_time: 0.0234 memory: 27035 grad_norm: 3.5799 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4250 loss: 1.4250 2022/08/08 23:24:48 - mmengine - INFO - Epoch(train) [14][340/1879] lr: 2.0000e-02 eta: 20:16:59 time: 1.0265 data_time: 0.0219 memory: 27035 grad_norm: 3.7378 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4995 loss: 1.4995 2022/08/08 23:25:08 - mmengine - INFO - Epoch(train) [14][360/1879] lr: 2.0000e-02 eta: 20:16:37 time: 1.0274 data_time: 0.0244 memory: 27035 grad_norm: 3.6864 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.5405 loss: 1.5405 2022/08/08 23:25:29 - mmengine - INFO - Epoch(train) [14][380/1879] lr: 2.0000e-02 eta: 20:16:14 time: 1.0272 data_time: 0.0226 memory: 27035 grad_norm: 3.7089 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5549 loss: 1.5549 2022/08/08 23:25:49 - mmengine - INFO - Epoch(train) [14][400/1879] lr: 2.0000e-02 eta: 20:15:51 time: 1.0246 data_time: 0.0243 memory: 27035 grad_norm: 3.5687 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4128 loss: 1.4128 2022/08/08 23:26:10 - mmengine - INFO - Epoch(train) [14][420/1879] lr: 2.0000e-02 eta: 20:15:28 time: 1.0266 data_time: 0.0228 memory: 27035 grad_norm: 3.6557 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6903 loss: 1.6903 2022/08/08 23:26:30 - mmengine - INFO - Epoch(train) [14][440/1879] lr: 2.0000e-02 eta: 20:15:06 time: 1.0252 data_time: 0.0233 memory: 27035 grad_norm: 3.7401 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7440 loss: 1.7440 2022/08/08 23:26:51 - mmengine - INFO - Epoch(train) [14][460/1879] lr: 2.0000e-02 eta: 20:14:43 time: 1.0273 data_time: 0.0234 memory: 27035 grad_norm: 3.6959 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7920 loss: 1.7920 2022/08/08 23:27:12 - mmengine - INFO - Epoch(train) [14][480/1879] lr: 2.0000e-02 eta: 20:14:20 time: 1.0272 data_time: 0.0235 memory: 27035 grad_norm: 3.6029 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5844 loss: 1.5844 2022/08/08 23:27:33 - mmengine - INFO - Epoch(train) [14][500/1879] lr: 2.0000e-02 eta: 20:14:00 time: 1.0725 data_time: 0.0685 memory: 27035 grad_norm: 3.6818 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7025 loss: 1.7025 2022/08/08 23:27:54 - mmengine - INFO - Epoch(train) [14][520/1879] lr: 2.0000e-02 eta: 20:13:38 time: 1.0338 data_time: 0.0298 memory: 27035 grad_norm: 3.6951 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4727 loss: 1.4727 2022/08/08 23:28:14 - mmengine - INFO - Epoch(train) [14][540/1879] lr: 2.0000e-02 eta: 20:13:15 time: 1.0287 data_time: 0.0225 memory: 27035 grad_norm: 3.7483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3959 loss: 1.3959 2022/08/08 23:28:35 - mmengine - INFO - Epoch(train) [14][560/1879] lr: 2.0000e-02 eta: 20:12:53 time: 1.0328 data_time: 0.0234 memory: 27035 grad_norm: 3.7069 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5802 loss: 1.5802 2022/08/08 23:28:48 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 23:28:55 - mmengine - INFO - Epoch(train) [14][580/1879] lr: 2.0000e-02 eta: 20:12:30 time: 1.0262 data_time: 0.0235 memory: 27035 grad_norm: 3.6109 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5283 loss: 1.5283 2022/08/08 23:29:16 - mmengine - INFO - Epoch(train) [14][600/1879] lr: 2.0000e-02 eta: 20:12:08 time: 1.0265 data_time: 0.0242 memory: 27035 grad_norm: 3.6120 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5910 loss: 1.5910 2022/08/08 23:29:37 - mmengine - INFO - Epoch(train) [14][620/1879] lr: 2.0000e-02 eta: 20:11:45 time: 1.0349 data_time: 0.0246 memory: 27035 grad_norm: 3.6130 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3065 loss: 1.3065 2022/08/08 23:29:57 - mmengine - INFO - Epoch(train) [14][640/1879] lr: 2.0000e-02 eta: 20:11:23 time: 1.0307 data_time: 0.0236 memory: 27035 grad_norm: 3.7003 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4714 loss: 1.4714 2022/08/08 23:30:18 - mmengine - INFO - Epoch(train) [14][660/1879] lr: 2.0000e-02 eta: 20:11:01 time: 1.0420 data_time: 0.0256 memory: 27035 grad_norm: 3.6580 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6693 loss: 1.6693 2022/08/08 23:30:39 - mmengine - INFO - Epoch(train) [14][680/1879] lr: 2.0000e-02 eta: 20:10:39 time: 1.0294 data_time: 0.0238 memory: 27035 grad_norm: 3.7379 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5415 loss: 1.5415 2022/08/08 23:30:59 - mmengine - INFO - Epoch(train) [14][700/1879] lr: 2.0000e-02 eta: 20:10:16 time: 1.0325 data_time: 0.0238 memory: 27035 grad_norm: 3.6769 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4014 loss: 1.4014 2022/08/08 23:31:20 - mmengine - INFO - Epoch(train) [14][720/1879] lr: 2.0000e-02 eta: 20:09:54 time: 1.0271 data_time: 0.0245 memory: 27035 grad_norm: 3.7096 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5839 loss: 1.5839 2022/08/08 23:31:40 - mmengine - INFO - Epoch(train) [14][740/1879] lr: 2.0000e-02 eta: 20:09:31 time: 1.0290 data_time: 0.0238 memory: 27035 grad_norm: 3.6754 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6781 loss: 1.6781 2022/08/08 23:32:01 - mmengine - INFO - Epoch(train) [14][760/1879] lr: 2.0000e-02 eta: 20:09:08 time: 1.0267 data_time: 0.0233 memory: 27035 grad_norm: 3.7031 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5962 loss: 1.5962 2022/08/08 23:32:22 - mmengine - INFO - Epoch(train) [14][780/1879] lr: 2.0000e-02 eta: 20:08:46 time: 1.0266 data_time: 0.0221 memory: 27035 grad_norm: 3.5416 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4876 loss: 1.4876 2022/08/08 23:32:42 - mmengine - INFO - Epoch(train) [14][800/1879] lr: 2.0000e-02 eta: 20:08:23 time: 1.0326 data_time: 0.0229 memory: 27035 grad_norm: 3.7524 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8607 loss: 1.8607 2022/08/08 23:33:03 - mmengine - INFO - Epoch(train) [14][820/1879] lr: 2.0000e-02 eta: 20:08:01 time: 1.0272 data_time: 0.0238 memory: 27035 grad_norm: 3.7543 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6376 loss: 1.6376 2022/08/08 23:33:23 - mmengine - INFO - Epoch(train) [14][840/1879] lr: 2.0000e-02 eta: 20:07:38 time: 1.0307 data_time: 0.0229 memory: 27035 grad_norm: 3.7281 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4632 loss: 1.4632 2022/08/08 23:33:44 - mmengine - INFO - Epoch(train) [14][860/1879] lr: 2.0000e-02 eta: 20:07:16 time: 1.0269 data_time: 0.0238 memory: 27035 grad_norm: 3.6959 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6233 loss: 1.6233 2022/08/08 23:34:05 - mmengine - INFO - Epoch(train) [14][880/1879] lr: 2.0000e-02 eta: 20:06:53 time: 1.0297 data_time: 0.0228 memory: 27035 grad_norm: 3.6820 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6310 loss: 1.6310 2022/08/08 23:34:25 - mmengine - INFO - Epoch(train) [14][900/1879] lr: 2.0000e-02 eta: 20:06:31 time: 1.0273 data_time: 0.0231 memory: 27035 grad_norm: 3.6194 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6245 loss: 1.6245 2022/08/08 23:34:46 - mmengine - INFO - Epoch(train) [14][920/1879] lr: 2.0000e-02 eta: 20:06:08 time: 1.0298 data_time: 0.0225 memory: 27035 grad_norm: 3.7260 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5696 loss: 1.5696 2022/08/08 23:35:06 - mmengine - INFO - Epoch(train) [14][940/1879] lr: 2.0000e-02 eta: 20:05:46 time: 1.0281 data_time: 0.0233 memory: 27035 grad_norm: 3.6205 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3362 loss: 1.3362 2022/08/08 23:35:28 - mmengine - INFO - Epoch(train) [14][960/1879] lr: 2.0000e-02 eta: 20:05:27 time: 1.1004 data_time: 0.0942 memory: 27035 grad_norm: 3.6527 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4326 loss: 1.4326 2022/08/08 23:35:49 - mmengine - INFO - Epoch(train) [14][980/1879] lr: 2.0000e-02 eta: 20:05:05 time: 1.0312 data_time: 0.0225 memory: 27035 grad_norm: 3.6107 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5603 loss: 1.5603 2022/08/08 23:36:09 - mmengine - INFO - Epoch(train) [14][1000/1879] lr: 2.0000e-02 eta: 20:04:42 time: 1.0256 data_time: 0.0238 memory: 27035 grad_norm: 3.7209 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5975 loss: 1.5975 2022/08/08 23:36:30 - mmengine - INFO - Epoch(train) [14][1020/1879] lr: 2.0000e-02 eta: 20:04:19 time: 1.0270 data_time: 0.0226 memory: 27035 grad_norm: 3.6410 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6762 loss: 1.6762 2022/08/08 23:36:51 - mmengine - INFO - Epoch(train) [14][1040/1879] lr: 2.0000e-02 eta: 20:03:57 time: 1.0369 data_time: 0.0230 memory: 27035 grad_norm: 3.5849 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5753 loss: 1.5753 2022/08/08 23:37:11 - mmengine - INFO - Epoch(train) [14][1060/1879] lr: 2.0000e-02 eta: 20:03:35 time: 1.0303 data_time: 0.0235 memory: 27035 grad_norm: 3.7061 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5674 loss: 1.5674 2022/08/08 23:37:33 - mmengine - INFO - Epoch(train) [14][1080/1879] lr: 2.0000e-02 eta: 20:03:15 time: 1.0697 data_time: 0.0228 memory: 27035 grad_norm: 3.7679 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5647 loss: 1.5647 2022/08/08 23:37:53 - mmengine - INFO - Epoch(train) [14][1100/1879] lr: 2.0000e-02 eta: 20:02:52 time: 1.0265 data_time: 0.0233 memory: 27035 grad_norm: 3.6143 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5250 loss: 1.5250 2022/08/08 23:38:14 - mmengine - INFO - Epoch(train) [14][1120/1879] lr: 2.0000e-02 eta: 20:02:30 time: 1.0288 data_time: 0.0232 memory: 27035 grad_norm: 3.6865 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4891 loss: 1.4891 2022/08/08 23:38:34 - mmengine - INFO - Epoch(train) [14][1140/1879] lr: 2.0000e-02 eta: 20:02:07 time: 1.0266 data_time: 0.0228 memory: 27035 grad_norm: 3.6302 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6240 loss: 1.6240 2022/08/08 23:38:55 - mmengine - INFO - Epoch(train) [14][1160/1879] lr: 2.0000e-02 eta: 20:01:44 time: 1.0261 data_time: 0.0233 memory: 27035 grad_norm: 3.6302 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6605 loss: 1.6605 2022/08/08 23:39:16 - mmengine - INFO - Epoch(train) [14][1180/1879] lr: 2.0000e-02 eta: 20:01:22 time: 1.0338 data_time: 0.0289 memory: 27035 grad_norm: 3.6867 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5569 loss: 1.5569 2022/08/08 23:39:36 - mmengine - INFO - Epoch(train) [14][1200/1879] lr: 2.0000e-02 eta: 20:01:00 time: 1.0282 data_time: 0.0240 memory: 27035 grad_norm: 3.7538 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3028 loss: 1.3028 2022/08/08 23:39:57 - mmengine - INFO - Epoch(train) [14][1220/1879] lr: 2.0000e-02 eta: 20:00:37 time: 1.0290 data_time: 0.0236 memory: 27035 grad_norm: 3.7495 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5171 loss: 1.5171 2022/08/08 23:40:18 - mmengine - INFO - Epoch(train) [14][1240/1879] lr: 2.0000e-02 eta: 20:00:15 time: 1.0420 data_time: 0.0297 memory: 27035 grad_norm: 3.6658 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4883 loss: 1.4883 2022/08/08 23:40:38 - mmengine - INFO - Epoch(train) [14][1260/1879] lr: 2.0000e-02 eta: 19:59:53 time: 1.0374 data_time: 0.0235 memory: 27035 grad_norm: 3.7001 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7323 loss: 1.7323 2022/08/08 23:40:59 - mmengine - INFO - Epoch(train) [14][1280/1879] lr: 2.0000e-02 eta: 19:59:31 time: 1.0355 data_time: 0.0237 memory: 27035 grad_norm: 3.7512 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5717 loss: 1.5717 2022/08/08 23:41:20 - mmengine - INFO - Epoch(train) [14][1300/1879] lr: 2.0000e-02 eta: 19:59:09 time: 1.0285 data_time: 0.0225 memory: 27035 grad_norm: 3.6889 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6252 loss: 1.6252 2022/08/08 23:41:40 - mmengine - INFO - Epoch(train) [14][1320/1879] lr: 2.0000e-02 eta: 19:58:46 time: 1.0276 data_time: 0.0234 memory: 27035 grad_norm: 3.7341 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6141 loss: 1.6141 2022/08/08 23:42:01 - mmengine - INFO - Epoch(train) [14][1340/1879] lr: 2.0000e-02 eta: 19:58:24 time: 1.0290 data_time: 0.0230 memory: 27035 grad_norm: 3.7187 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6129 loss: 1.6129 2022/08/08 23:42:21 - mmengine - INFO - Epoch(train) [14][1360/1879] lr: 2.0000e-02 eta: 19:58:01 time: 1.0312 data_time: 0.0228 memory: 27035 grad_norm: 3.6613 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4746 loss: 1.4746 2022/08/08 23:42:42 - mmengine - INFO - Epoch(train) [14][1380/1879] lr: 2.0000e-02 eta: 19:57:39 time: 1.0325 data_time: 0.0245 memory: 27035 grad_norm: 3.5294 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5961 loss: 1.5961 2022/08/08 23:43:03 - mmengine - INFO - Epoch(train) [14][1400/1879] lr: 2.0000e-02 eta: 19:57:17 time: 1.0338 data_time: 0.0250 memory: 27035 grad_norm: 3.7581 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6913 loss: 1.6913 2022/08/08 23:43:23 - mmengine - INFO - Epoch(train) [14][1420/1879] lr: 2.0000e-02 eta: 19:56:54 time: 1.0253 data_time: 0.0216 memory: 27035 grad_norm: 3.7804 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6984 loss: 1.6984 2022/08/08 23:43:44 - mmengine - INFO - Epoch(train) [14][1440/1879] lr: 2.0000e-02 eta: 19:56:32 time: 1.0367 data_time: 0.0288 memory: 27035 grad_norm: 3.6771 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.5468 loss: 1.5468 2022/08/08 23:44:04 - mmengine - INFO - Epoch(train) [14][1460/1879] lr: 2.0000e-02 eta: 19:56:10 time: 1.0268 data_time: 0.0237 memory: 27035 grad_norm: 3.6446 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6838 loss: 1.6838 2022/08/08 23:44:25 - mmengine - INFO - Epoch(train) [14][1480/1879] lr: 2.0000e-02 eta: 19:55:47 time: 1.0304 data_time: 0.0238 memory: 27035 grad_norm: 3.6771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4758 loss: 1.4758 2022/08/08 23:44:46 - mmengine - INFO - Epoch(train) [14][1500/1879] lr: 2.0000e-02 eta: 19:55:25 time: 1.0293 data_time: 0.0228 memory: 27035 grad_norm: 3.6959 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5809 loss: 1.5809 2022/08/08 23:45:06 - mmengine - INFO - Epoch(train) [14][1520/1879] lr: 2.0000e-02 eta: 19:55:03 time: 1.0284 data_time: 0.0230 memory: 27035 grad_norm: 3.6879 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6077 loss: 1.6077 2022/08/08 23:45:28 - mmengine - INFO - Epoch(train) [14][1540/1879] lr: 2.0000e-02 eta: 19:54:42 time: 1.0642 data_time: 0.0594 memory: 27035 grad_norm: 3.7523 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5621 loss: 1.5621 2022/08/08 23:45:48 - mmengine - INFO - Epoch(train) [14][1560/1879] lr: 2.0000e-02 eta: 19:54:20 time: 1.0363 data_time: 0.0290 memory: 27035 grad_norm: 3.7535 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5418 loss: 1.5418 2022/08/08 23:46:02 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 23:46:09 - mmengine - INFO - Epoch(train) [14][1580/1879] lr: 2.0000e-02 eta: 19:53:58 time: 1.0346 data_time: 0.0237 memory: 27035 grad_norm: 3.7434 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6216 loss: 1.6216 2022/08/08 23:46:30 - mmengine - INFO - Epoch(train) [14][1600/1879] lr: 2.0000e-02 eta: 19:53:36 time: 1.0315 data_time: 0.0231 memory: 27035 grad_norm: 3.6909 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6827 loss: 1.6827 2022/08/08 23:46:50 - mmengine - INFO - Epoch(train) [14][1620/1879] lr: 2.0000e-02 eta: 19:53:13 time: 1.0287 data_time: 0.0232 memory: 27035 grad_norm: 3.7008 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5227 loss: 1.5227 2022/08/08 23:47:11 - mmengine - INFO - Epoch(train) [14][1640/1879] lr: 2.0000e-02 eta: 19:52:51 time: 1.0267 data_time: 0.0235 memory: 27035 grad_norm: 3.7719 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6274 loss: 1.6274 2022/08/08 23:47:32 - mmengine - INFO - Epoch(train) [14][1660/1879] lr: 2.0000e-02 eta: 19:52:29 time: 1.0519 data_time: 0.0470 memory: 27035 grad_norm: 3.6754 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4606 loss: 1.4606 2022/08/08 23:47:52 - mmengine - INFO - Epoch(train) [14][1680/1879] lr: 2.0000e-02 eta: 19:52:07 time: 1.0296 data_time: 0.0232 memory: 27035 grad_norm: 3.7554 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6790 loss: 1.6790 2022/08/08 23:48:13 - mmengine - INFO - Epoch(train) [14][1700/1879] lr: 2.0000e-02 eta: 19:51:45 time: 1.0290 data_time: 0.0229 memory: 27035 grad_norm: 3.6944 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4450 loss: 1.4450 2022/08/08 23:48:34 - mmengine - INFO - Epoch(train) [14][1720/1879] lr: 2.0000e-02 eta: 19:51:22 time: 1.0303 data_time: 0.0230 memory: 27035 grad_norm: 3.6317 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3652 loss: 1.3652 2022/08/08 23:48:54 - mmengine - INFO - Epoch(train) [14][1740/1879] lr: 2.0000e-02 eta: 19:51:00 time: 1.0305 data_time: 0.0228 memory: 27035 grad_norm: 3.7216 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5206 loss: 1.5206 2022/08/08 23:49:15 - mmengine - INFO - Epoch(train) [14][1760/1879] lr: 2.0000e-02 eta: 19:50:38 time: 1.0308 data_time: 0.0228 memory: 27035 grad_norm: 3.8066 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6992 loss: 1.6992 2022/08/08 23:49:35 - mmengine - INFO - Epoch(train) [14][1780/1879] lr: 2.0000e-02 eta: 19:50:15 time: 1.0278 data_time: 0.0224 memory: 27035 grad_norm: 3.6914 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5400 loss: 1.5400 2022/08/08 23:49:56 - mmengine - INFO - Epoch(train) [14][1800/1879] lr: 2.0000e-02 eta: 19:49:53 time: 1.0316 data_time: 0.0244 memory: 27035 grad_norm: 3.6703 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4021 loss: 1.4021 2022/08/08 23:50:17 - mmengine - INFO - Epoch(train) [14][1820/1879] lr: 2.0000e-02 eta: 19:49:31 time: 1.0463 data_time: 0.0267 memory: 27035 grad_norm: 3.7264 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5798 loss: 1.5798 2022/08/08 23:50:37 - mmengine - INFO - Epoch(train) [14][1840/1879] lr: 2.0000e-02 eta: 19:49:09 time: 1.0294 data_time: 0.0216 memory: 27035 grad_norm: 3.6232 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5865 loss: 1.5865 2022/08/08 23:50:58 - mmengine - INFO - Epoch(train) [14][1860/1879] lr: 2.0000e-02 eta: 19:48:47 time: 1.0271 data_time: 0.0237 memory: 27035 grad_norm: 3.7237 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6013 loss: 1.6013 2022/08/08 23:51:18 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/08 23:51:18 - mmengine - INFO - Epoch(train) [14][1879/1879] lr: 2.0000e-02 eta: 19:48:47 time: 1.0268 data_time: 0.0231 memory: 27035 grad_norm: 3.7936 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.7535 loss: 1.7535 2022/08/08 23:51:33 - mmengine - INFO - Epoch(val) [14][20/155] eta: 0:01:44 time: 0.7749 data_time: 0.5033 memory: 3270 2022/08/08 23:51:44 - mmengine - INFO - Epoch(val) [14][40/155] eta: 0:01:05 time: 0.5652 data_time: 0.2956 memory: 3270 2022/08/08 23:51:57 - mmengine - INFO - Epoch(val) [14][60/155] eta: 0:00:58 time: 0.6196 data_time: 0.3502 memory: 3270 2022/08/08 23:52:08 - mmengine - INFO - Epoch(val) [14][80/155] eta: 0:00:43 time: 0.5756 data_time: 0.3058 memory: 3270 2022/08/08 23:52:23 - mmengine - INFO - Epoch(val) [14][100/155] eta: 0:00:39 time: 0.7120 data_time: 0.4427 memory: 3270 2022/08/08 23:52:35 - mmengine - INFO - Epoch(val) [14][120/155] eta: 0:00:21 time: 0.6065 data_time: 0.3372 memory: 3270 2022/08/08 23:52:49 - mmengine - INFO - Epoch(val) [14][140/155] eta: 0:00:10 time: 0.6967 data_time: 0.4283 memory: 3270 2022/08/08 23:52:59 - mmengine - INFO - Epoch(val) [14][155/155] acc/top1: 0.6138 acc/top5: 0.8465 acc/mean1: 0.6137 2022/08/08 23:52:59 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_13.pth is removed 2022/08/08 23:53:00 - mmengine - INFO - The best checkpoint with 0.6138 acc/top1 at 15 epoch is saved to best_acc/top1_epoch_15.pth. 2022/08/08 23:53:26 - mmengine - INFO - Epoch(train) [15][20/1879] lr: 2.0000e-02 eta: 19:47:27 time: 1.3051 data_time: 0.2857 memory: 27035 grad_norm: 3.5619 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4850 loss: 1.4850 2022/08/08 23:53:46 - mmengine - INFO - Epoch(train) [15][40/1879] lr: 2.0000e-02 eta: 19:47:04 time: 1.0247 data_time: 0.0234 memory: 27035 grad_norm: 3.6593 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6360 loss: 1.6360 2022/08/08 23:54:07 - mmengine - INFO - Epoch(train) [15][60/1879] lr: 2.0000e-02 eta: 19:46:42 time: 1.0313 data_time: 0.0244 memory: 27035 grad_norm: 3.6672 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5227 loss: 1.5227 2022/08/08 23:54:28 - mmengine - INFO - Epoch(train) [15][80/1879] lr: 2.0000e-02 eta: 19:46:20 time: 1.0336 data_time: 0.0247 memory: 27035 grad_norm: 3.6405 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4239 loss: 1.4239 2022/08/08 23:54:48 - mmengine - INFO - Epoch(train) [15][100/1879] lr: 2.0000e-02 eta: 19:45:58 time: 1.0288 data_time: 0.0250 memory: 27035 grad_norm: 3.6209 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4511 loss: 1.4511 2022/08/08 23:55:09 - mmengine - INFO - Epoch(train) [15][120/1879] lr: 2.0000e-02 eta: 19:45:35 time: 1.0276 data_time: 0.0232 memory: 27035 grad_norm: 3.7426 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3840 loss: 1.3840 2022/08/08 23:55:30 - mmengine - INFO - Epoch(train) [15][140/1879] lr: 2.0000e-02 eta: 19:45:14 time: 1.0416 data_time: 0.0263 memory: 27035 grad_norm: 3.7029 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5277 loss: 1.5277 2022/08/08 23:55:50 - mmengine - INFO - Epoch(train) [15][160/1879] lr: 2.0000e-02 eta: 19:44:51 time: 1.0292 data_time: 0.0229 memory: 27035 grad_norm: 3.6808 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4646 loss: 1.4646 2022/08/08 23:56:11 - mmengine - INFO - Epoch(train) [15][180/1879] lr: 2.0000e-02 eta: 19:44:29 time: 1.0319 data_time: 0.0236 memory: 27035 grad_norm: 3.7296 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5270 loss: 1.5270 2022/08/08 23:56:31 - mmengine - INFO - Epoch(train) [15][200/1879] lr: 2.0000e-02 eta: 19:44:07 time: 1.0276 data_time: 0.0235 memory: 27035 grad_norm: 3.6684 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5580 loss: 1.5580 2022/08/08 23:56:52 - mmengine - INFO - Epoch(train) [15][220/1879] lr: 2.0000e-02 eta: 19:43:44 time: 1.0281 data_time: 0.0234 memory: 27035 grad_norm: 3.6960 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4758 loss: 1.4758 2022/08/08 23:57:13 - mmengine - INFO - Epoch(train) [15][240/1879] lr: 2.0000e-02 eta: 19:43:24 time: 1.0624 data_time: 0.0240 memory: 27035 grad_norm: 3.7335 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5261 loss: 1.5261 2022/08/08 23:57:34 - mmengine - INFO - Epoch(train) [15][260/1879] lr: 2.0000e-02 eta: 19:43:01 time: 1.0251 data_time: 0.0231 memory: 27035 grad_norm: 3.6183 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3823 loss: 1.3823 2022/08/08 23:57:54 - mmengine - INFO - Epoch(train) [15][280/1879] lr: 2.0000e-02 eta: 19:42:39 time: 1.0339 data_time: 0.0241 memory: 27035 grad_norm: 3.6313 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5119 loss: 1.5119 2022/08/08 23:58:15 - mmengine - INFO - Epoch(train) [15][300/1879] lr: 2.0000e-02 eta: 19:42:17 time: 1.0259 data_time: 0.0243 memory: 27035 grad_norm: 3.7251 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5277 loss: 1.5277 2022/08/08 23:58:36 - mmengine - INFO - Epoch(train) [15][320/1879] lr: 2.0000e-02 eta: 19:41:55 time: 1.0286 data_time: 0.0247 memory: 27035 grad_norm: 3.6479 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5559 loss: 1.5559 2022/08/08 23:58:56 - mmengine - INFO - Epoch(train) [15][340/1879] lr: 2.0000e-02 eta: 19:41:33 time: 1.0364 data_time: 0.0331 memory: 27035 grad_norm: 3.7021 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5674 loss: 1.5674 2022/08/08 23:59:17 - mmengine - INFO - Epoch(train) [15][360/1879] lr: 2.0000e-02 eta: 19:41:10 time: 1.0269 data_time: 0.0249 memory: 27035 grad_norm: 3.6338 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6887 loss: 1.6887 2022/08/08 23:59:37 - mmengine - INFO - Epoch(train) [15][380/1879] lr: 2.0000e-02 eta: 19:40:48 time: 1.0265 data_time: 0.0230 memory: 27035 grad_norm: 3.7251 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5311 loss: 1.5311 2022/08/08 23:59:58 - mmengine - INFO - Epoch(train) [15][400/1879] lr: 2.0000e-02 eta: 19:40:25 time: 1.0271 data_time: 0.0240 memory: 27035 grad_norm: 3.7621 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3870 loss: 1.3870 2022/08/09 00:00:20 - mmengine - INFO - Epoch(train) [15][420/1879] lr: 2.0000e-02 eta: 19:40:07 time: 1.1010 data_time: 0.0256 memory: 27035 grad_norm: 3.6534 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4704 loss: 1.4704 2022/08/09 00:00:41 - mmengine - INFO - Epoch(train) [15][440/1879] lr: 2.0000e-02 eta: 19:39:45 time: 1.0327 data_time: 0.0232 memory: 27035 grad_norm: 3.7663 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6595 loss: 1.6595 2022/08/09 00:01:01 - mmengine - INFO - Epoch(train) [15][460/1879] lr: 2.0000e-02 eta: 19:39:22 time: 1.0259 data_time: 0.0234 memory: 27035 grad_norm: 3.6684 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5715 loss: 1.5715 2022/08/09 00:01:22 - mmengine - INFO - Epoch(train) [15][480/1879] lr: 2.0000e-02 eta: 19:39:00 time: 1.0272 data_time: 0.0237 memory: 27035 grad_norm: 3.7169 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6212 loss: 1.6212 2022/08/09 00:01:42 - mmengine - INFO - Epoch(train) [15][500/1879] lr: 2.0000e-02 eta: 19:38:38 time: 1.0282 data_time: 0.0235 memory: 27035 grad_norm: 3.6804 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4085 loss: 1.4085 2022/08/09 00:02:03 - mmengine - INFO - Epoch(train) [15][520/1879] lr: 2.0000e-02 eta: 19:38:16 time: 1.0377 data_time: 0.0238 memory: 27035 grad_norm: 3.6806 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4213 loss: 1.4213 2022/08/09 00:02:24 - mmengine - INFO - Epoch(train) [15][540/1879] lr: 2.0000e-02 eta: 19:37:53 time: 1.0262 data_time: 0.0226 memory: 27035 grad_norm: 3.6050 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7082 loss: 1.7082 2022/08/09 00:02:44 - mmengine - INFO - Epoch(train) [15][560/1879] lr: 2.0000e-02 eta: 19:37:31 time: 1.0287 data_time: 0.0256 memory: 27035 grad_norm: 3.7353 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5859 loss: 1.5859 2022/08/09 00:03:05 - mmengine - INFO - Epoch(train) [15][580/1879] lr: 2.0000e-02 eta: 19:37:09 time: 1.0294 data_time: 0.0226 memory: 27035 grad_norm: 3.7422 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6089 loss: 1.6089 2022/08/09 00:03:25 - mmengine - INFO - Epoch(train) [15][600/1879] lr: 2.0000e-02 eta: 19:36:46 time: 1.0256 data_time: 0.0229 memory: 27035 grad_norm: 3.6813 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5139 loss: 1.5139 2022/08/09 00:03:46 - mmengine - INFO - Epoch(train) [15][620/1879] lr: 2.0000e-02 eta: 19:36:24 time: 1.0320 data_time: 0.0233 memory: 27035 grad_norm: 3.6368 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5554 loss: 1.5554 2022/08/09 00:04:06 - mmengine - INFO - Epoch(train) [15][640/1879] lr: 2.0000e-02 eta: 19:36:02 time: 1.0286 data_time: 0.0238 memory: 27035 grad_norm: 3.5907 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5169 loss: 1.5169 2022/08/09 00:04:27 - mmengine - INFO - Epoch(train) [15][660/1879] lr: 2.0000e-02 eta: 19:35:40 time: 1.0316 data_time: 0.0237 memory: 27035 grad_norm: 3.6946 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4988 loss: 1.4988 2022/08/09 00:04:48 - mmengine - INFO - Epoch(train) [15][680/1879] lr: 2.0000e-02 eta: 19:35:17 time: 1.0272 data_time: 0.0253 memory: 27035 grad_norm: 3.6695 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7454 loss: 1.7454 2022/08/09 00:05:02 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 00:05:09 - mmengine - INFO - Epoch(train) [15][700/1879] lr: 2.0000e-02 eta: 19:34:57 time: 1.0666 data_time: 0.0633 memory: 27035 grad_norm: 3.6002 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5101 loss: 1.5101 2022/08/09 00:05:30 - mmengine - INFO - Epoch(train) [15][720/1879] lr: 2.0000e-02 eta: 19:34:35 time: 1.0362 data_time: 0.0260 memory: 27035 grad_norm: 3.6795 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5346 loss: 1.5346 2022/08/09 00:05:50 - mmengine - INFO - Epoch(train) [15][740/1879] lr: 2.0000e-02 eta: 19:34:13 time: 1.0284 data_time: 0.0223 memory: 27035 grad_norm: 3.7225 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5370 loss: 1.5370 2022/08/09 00:06:11 - mmengine - INFO - Epoch(train) [15][760/1879] lr: 2.0000e-02 eta: 19:33:51 time: 1.0310 data_time: 0.0245 memory: 27035 grad_norm: 3.6212 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5357 loss: 1.5357 2022/08/09 00:06:31 - mmengine - INFO - Epoch(train) [15][780/1879] lr: 2.0000e-02 eta: 19:33:28 time: 1.0279 data_time: 0.0230 memory: 27035 grad_norm: 3.6313 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4442 loss: 1.4442 2022/08/09 00:06:52 - mmengine - INFO - Epoch(train) [15][800/1879] lr: 2.0000e-02 eta: 19:33:06 time: 1.0284 data_time: 0.0233 memory: 27035 grad_norm: 3.6370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3964 loss: 1.3964 2022/08/09 00:07:13 - mmengine - INFO - Epoch(train) [15][820/1879] lr: 2.0000e-02 eta: 19:32:46 time: 1.0633 data_time: 0.0390 memory: 27035 grad_norm: 3.6270 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5522 loss: 1.5522 2022/08/09 00:07:34 - mmengine - INFO - Epoch(train) [15][840/1879] lr: 2.0000e-02 eta: 19:32:23 time: 1.0259 data_time: 0.0229 memory: 27035 grad_norm: 3.7925 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5852 loss: 1.5852 2022/08/09 00:07:54 - mmengine - INFO - Epoch(train) [15][860/1879] lr: 2.0000e-02 eta: 19:32:01 time: 1.0286 data_time: 0.0232 memory: 27035 grad_norm: 3.7724 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8580 loss: 1.8580 2022/08/09 00:08:15 - mmengine - INFO - Epoch(train) [15][880/1879] lr: 2.0000e-02 eta: 19:31:39 time: 1.0335 data_time: 0.0312 memory: 27035 grad_norm: 3.5853 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2375 loss: 1.2375 2022/08/09 00:08:36 - mmengine - INFO - Epoch(train) [15][900/1879] lr: 2.0000e-02 eta: 19:31:17 time: 1.0320 data_time: 0.0288 memory: 27035 grad_norm: 3.6363 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5563 loss: 1.5563 2022/08/09 00:08:56 - mmengine - INFO - Epoch(train) [15][920/1879] lr: 2.0000e-02 eta: 19:30:55 time: 1.0293 data_time: 0.0243 memory: 27035 grad_norm: 3.7801 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5837 loss: 1.5837 2022/08/09 00:09:17 - mmengine - INFO - Epoch(train) [15][940/1879] lr: 2.0000e-02 eta: 19:30:32 time: 1.0276 data_time: 0.0241 memory: 27035 grad_norm: 3.7343 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6874 loss: 1.6874 2022/08/09 00:09:37 - mmengine - INFO - Epoch(train) [15][960/1879] lr: 2.0000e-02 eta: 19:30:10 time: 1.0274 data_time: 0.0228 memory: 27035 grad_norm: 3.5847 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6777 loss: 1.6777 2022/08/09 00:09:58 - mmengine - INFO - Epoch(train) [15][980/1879] lr: 2.0000e-02 eta: 19:29:48 time: 1.0272 data_time: 0.0230 memory: 27035 grad_norm: 3.6470 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6468 loss: 1.6468 2022/08/09 00:10:19 - mmengine - INFO - Epoch(train) [15][1000/1879] lr: 2.0000e-02 eta: 19:29:27 time: 1.0645 data_time: 0.0357 memory: 27035 grad_norm: 3.6650 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5847 loss: 1.5847 2022/08/09 00:10:40 - mmengine - INFO - Epoch(train) [15][1020/1879] lr: 2.0000e-02 eta: 19:29:05 time: 1.0285 data_time: 0.0235 memory: 27035 grad_norm: 3.6695 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5587 loss: 1.5587 2022/08/09 00:11:00 - mmengine - INFO - Epoch(train) [15][1040/1879] lr: 2.0000e-02 eta: 19:28:43 time: 1.0288 data_time: 0.0244 memory: 27035 grad_norm: 3.7382 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5247 loss: 1.5247 2022/08/09 00:11:21 - mmengine - INFO - Epoch(train) [15][1060/1879] lr: 2.0000e-02 eta: 19:28:20 time: 1.0287 data_time: 0.0236 memory: 27035 grad_norm: 3.6743 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5690 loss: 1.5690 2022/08/09 00:11:42 - mmengine - INFO - Epoch(train) [15][1080/1879] lr: 2.0000e-02 eta: 19:27:58 time: 1.0285 data_time: 0.0240 memory: 27035 grad_norm: 3.5789 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3568 loss: 1.3568 2022/08/09 00:12:02 - mmengine - INFO - Epoch(train) [15][1100/1879] lr: 2.0000e-02 eta: 19:27:36 time: 1.0264 data_time: 0.0232 memory: 27035 grad_norm: 3.6532 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3760 loss: 1.3760 2022/08/09 00:12:23 - mmengine - INFO - Epoch(train) [15][1120/1879] lr: 2.0000e-02 eta: 19:27:14 time: 1.0278 data_time: 0.0231 memory: 27035 grad_norm: 3.7962 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6471 loss: 1.6471 2022/08/09 00:12:43 - mmengine - INFO - Epoch(train) [15][1140/1879] lr: 2.0000e-02 eta: 19:26:52 time: 1.0356 data_time: 0.0248 memory: 27035 grad_norm: 3.6726 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4819 loss: 1.4819 2022/08/09 00:13:04 - mmengine - INFO - Epoch(train) [15][1160/1879] lr: 2.0000e-02 eta: 19:26:30 time: 1.0285 data_time: 0.0238 memory: 27035 grad_norm: 3.7561 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5216 loss: 1.5216 2022/08/09 00:13:24 - mmengine - INFO - Epoch(train) [15][1180/1879] lr: 2.0000e-02 eta: 19:26:07 time: 1.0283 data_time: 0.0240 memory: 27035 grad_norm: 3.7178 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5988 loss: 1.5988 2022/08/09 00:13:45 - mmengine - INFO - Epoch(train) [15][1200/1879] lr: 2.0000e-02 eta: 19:25:45 time: 1.0296 data_time: 0.0238 memory: 27035 grad_norm: 3.6590 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6032 loss: 1.6032 2022/08/09 00:14:06 - mmengine - INFO - Epoch(train) [15][1220/1879] lr: 2.0000e-02 eta: 19:25:23 time: 1.0311 data_time: 0.0240 memory: 27035 grad_norm: 3.6798 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4837 loss: 1.4837 2022/08/09 00:14:26 - mmengine - INFO - Epoch(train) [15][1240/1879] lr: 2.0000e-02 eta: 19:25:01 time: 1.0309 data_time: 0.0241 memory: 27035 grad_norm: 3.6572 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4880 loss: 1.4880 2022/08/09 00:14:47 - mmengine - INFO - Epoch(train) [15][1260/1879] lr: 2.0000e-02 eta: 19:24:39 time: 1.0331 data_time: 0.0232 memory: 27035 grad_norm: 3.7375 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4529 loss: 1.4529 2022/08/09 00:15:08 - mmengine - INFO - Epoch(train) [15][1280/1879] lr: 2.0000e-02 eta: 19:24:18 time: 1.0474 data_time: 0.0253 memory: 27035 grad_norm: 3.7250 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5413 loss: 1.5413 2022/08/09 00:15:29 - mmengine - INFO - Epoch(train) [15][1300/1879] lr: 2.0000e-02 eta: 19:23:56 time: 1.0471 data_time: 0.0389 memory: 27035 grad_norm: 3.7347 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6760 loss: 1.6760 2022/08/09 00:15:49 - mmengine - INFO - Epoch(train) [15][1320/1879] lr: 2.0000e-02 eta: 19:23:34 time: 1.0264 data_time: 0.0235 memory: 27035 grad_norm: 3.8187 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5484 loss: 1.5484 2022/08/09 00:16:10 - mmengine - INFO - Epoch(train) [15][1340/1879] lr: 2.0000e-02 eta: 19:23:12 time: 1.0281 data_time: 0.0230 memory: 27035 grad_norm: 3.6607 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5674 loss: 1.5674 2022/08/09 00:16:31 - mmengine - INFO - Epoch(train) [15][1360/1879] lr: 2.0000e-02 eta: 19:22:49 time: 1.0266 data_time: 0.0239 memory: 27035 grad_norm: 3.6109 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6278 loss: 1.6278 2022/08/09 00:16:51 - mmengine - INFO - Epoch(train) [15][1380/1879] lr: 2.0000e-02 eta: 19:22:27 time: 1.0299 data_time: 0.0233 memory: 27035 grad_norm: 3.6808 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5463 loss: 1.5463 2022/08/09 00:17:12 - mmengine - INFO - Epoch(train) [15][1400/1879] lr: 2.0000e-02 eta: 19:22:05 time: 1.0258 data_time: 0.0237 memory: 27035 grad_norm: 3.6772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4437 loss: 1.4437 2022/08/09 00:17:33 - mmengine - INFO - Epoch(train) [15][1420/1879] lr: 2.0000e-02 eta: 19:21:44 time: 1.0635 data_time: 0.0607 memory: 27035 grad_norm: 3.5943 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4529 loss: 1.4529 2022/08/09 00:17:53 - mmengine - INFO - Epoch(train) [15][1440/1879] lr: 2.0000e-02 eta: 19:21:22 time: 1.0280 data_time: 0.0242 memory: 27035 grad_norm: 3.6539 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6801 loss: 1.6801 2022/08/09 00:18:14 - mmengine - INFO - Epoch(train) [15][1460/1879] lr: 2.0000e-02 eta: 19:21:00 time: 1.0291 data_time: 0.0232 memory: 27035 grad_norm: 3.6239 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4544 loss: 1.4544 2022/08/09 00:18:35 - mmengine - INFO - Epoch(train) [15][1480/1879] lr: 2.0000e-02 eta: 19:20:38 time: 1.0265 data_time: 0.0236 memory: 27035 grad_norm: 3.6202 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4731 loss: 1.4731 2022/08/09 00:18:55 - mmengine - INFO - Epoch(train) [15][1500/1879] lr: 2.0000e-02 eta: 19:20:16 time: 1.0301 data_time: 0.0237 memory: 27035 grad_norm: 3.7988 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5031 loss: 1.5031 2022/08/09 00:19:16 - mmengine - INFO - Epoch(train) [15][1520/1879] lr: 2.0000e-02 eta: 19:19:54 time: 1.0297 data_time: 0.0229 memory: 27035 grad_norm: 3.6224 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4029 loss: 1.4029 2022/08/09 00:19:36 - mmengine - INFO - Epoch(train) [15][1540/1879] lr: 2.0000e-02 eta: 19:19:31 time: 1.0287 data_time: 0.0236 memory: 27035 grad_norm: 3.7353 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6164 loss: 1.6164 2022/08/09 00:19:57 - mmengine - INFO - Epoch(train) [15][1560/1879] lr: 2.0000e-02 eta: 19:19:09 time: 1.0290 data_time: 0.0234 memory: 27035 grad_norm: 3.7822 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.6590 loss: 1.6590 2022/08/09 00:20:18 - mmengine - INFO - Epoch(train) [15][1580/1879] lr: 2.0000e-02 eta: 19:18:47 time: 1.0333 data_time: 0.0251 memory: 27035 grad_norm: 3.6800 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5546 loss: 1.5546 2022/08/09 00:20:38 - mmengine - INFO - Epoch(train) [15][1600/1879] lr: 2.0000e-02 eta: 19:18:25 time: 1.0383 data_time: 0.0304 memory: 27035 grad_norm: 3.7798 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5581 loss: 1.5581 2022/08/09 00:20:59 - mmengine - INFO - Epoch(train) [15][1620/1879] lr: 2.0000e-02 eta: 19:18:03 time: 1.0259 data_time: 0.0236 memory: 27035 grad_norm: 3.6269 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5004 loss: 1.5004 2022/08/09 00:21:20 - mmengine - INFO - Epoch(train) [15][1640/1879] lr: 2.0000e-02 eta: 19:17:41 time: 1.0333 data_time: 0.0241 memory: 27035 grad_norm: 3.6480 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3309 loss: 1.3309 2022/08/09 00:21:40 - mmengine - INFO - Epoch(train) [15][1660/1879] lr: 2.0000e-02 eta: 19:17:19 time: 1.0266 data_time: 0.0228 memory: 27035 grad_norm: 3.6469 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.6140 loss: 1.6140 2022/08/09 00:22:01 - mmengine - INFO - Epoch(train) [15][1680/1879] lr: 2.0000e-02 eta: 19:16:57 time: 1.0268 data_time: 0.0232 memory: 27035 grad_norm: 3.7832 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5117 loss: 1.5117 2022/08/09 00:22:15 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 00:22:21 - mmengine - INFO - Epoch(train) [15][1700/1879] lr: 2.0000e-02 eta: 19:16:35 time: 1.0329 data_time: 0.0231 memory: 27035 grad_norm: 3.7477 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6817 loss: 1.6817 2022/08/09 00:22:42 - mmengine - INFO - Epoch(train) [15][1720/1879] lr: 2.0000e-02 eta: 19:16:12 time: 1.0263 data_time: 0.0229 memory: 27035 grad_norm: 3.6216 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6022 loss: 1.6022 2022/08/09 00:23:02 - mmengine - INFO - Epoch(train) [15][1740/1879] lr: 2.0000e-02 eta: 19:15:50 time: 1.0294 data_time: 0.0240 memory: 27035 grad_norm: 3.7499 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3962 loss: 1.3962 2022/08/09 00:23:23 - mmengine - INFO - Epoch(train) [15][1760/1879] lr: 2.0000e-02 eta: 19:15:28 time: 1.0282 data_time: 0.0231 memory: 27035 grad_norm: 3.6833 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6763 loss: 1.6763 2022/08/09 00:23:44 - mmengine - INFO - Epoch(train) [15][1780/1879] lr: 2.0000e-02 eta: 19:15:06 time: 1.0272 data_time: 0.0230 memory: 27035 grad_norm: 3.6571 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5534 loss: 1.5534 2022/08/09 00:24:04 - mmengine - INFO - Epoch(train) [15][1800/1879] lr: 2.0000e-02 eta: 19:14:44 time: 1.0291 data_time: 0.0239 memory: 27035 grad_norm: 3.5339 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4800 loss: 1.4800 2022/08/09 00:24:25 - mmengine - INFO - Epoch(train) [15][1820/1879] lr: 2.0000e-02 eta: 19:14:22 time: 1.0319 data_time: 0.0235 memory: 27035 grad_norm: 3.7558 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6621 loss: 1.6621 2022/08/09 00:24:45 - mmengine - INFO - Epoch(train) [15][1840/1879] lr: 2.0000e-02 eta: 19:14:00 time: 1.0269 data_time: 0.0240 memory: 27035 grad_norm: 3.6509 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5110 loss: 1.5110 2022/08/09 00:25:06 - mmengine - INFO - Epoch(train) [15][1860/1879] lr: 2.0000e-02 eta: 19:13:38 time: 1.0361 data_time: 0.0273 memory: 27035 grad_norm: 3.6794 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5532 loss: 1.5532 2022/08/09 00:25:27 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 00:25:27 - mmengine - INFO - Epoch(train) [15][1879/1879] lr: 2.0000e-02 eta: 19:13:38 time: 1.0756 data_time: 0.0898 memory: 27035 grad_norm: 3.6963 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.4353 loss: 1.4353 2022/08/09 00:25:27 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/08/09 00:25:46 - mmengine - INFO - Epoch(val) [15][20/155] eta: 0:02:00 time: 0.8895 data_time: 0.6190 memory: 3270 2022/08/09 00:25:56 - mmengine - INFO - Epoch(val) [15][40/155] eta: 0:00:55 time: 0.4784 data_time: 0.2082 memory: 3270 2022/08/09 00:26:09 - mmengine - INFO - Epoch(val) [15][60/155] eta: 0:01:01 time: 0.6467 data_time: 0.3759 memory: 3270 2022/08/09 00:26:22 - mmengine - INFO - Epoch(val) [15][80/155] eta: 0:00:51 time: 0.6857 data_time: 0.4151 memory: 3270 2022/08/09 00:26:35 - mmengine - INFO - Epoch(val) [15][100/155] eta: 0:00:33 time: 0.6119 data_time: 0.3428 memory: 3270 2022/08/09 00:26:50 - mmengine - INFO - Epoch(val) [15][120/155] eta: 0:00:26 time: 0.7697 data_time: 0.4991 memory: 3270 2022/08/09 00:27:01 - mmengine - INFO - Epoch(val) [15][140/155] eta: 0:00:07 time: 0.5305 data_time: 0.2651 memory: 3270 2022/08/09 00:27:10 - mmengine - INFO - Epoch(val) [15][155/155] acc/top1: 0.6169 acc/top5: 0.8465 acc/mean1: 0.6169 2022/08/09 00:27:10 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_15.pth is removed 2022/08/09 00:27:11 - mmengine - INFO - The best checkpoint with 0.6169 acc/top1 at 16 epoch is saved to best_acc/top1_epoch_16.pth. 2022/08/09 00:27:38 - mmengine - INFO - Epoch(train) [16][20/1879] lr: 2.0000e-02 eta: 19:12:24 time: 1.3528 data_time: 0.3271 memory: 27035 grad_norm: 3.5186 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3775 loss: 1.3775 2022/08/09 00:27:59 - mmengine - INFO - Epoch(train) [16][40/1879] lr: 2.0000e-02 eta: 19:12:02 time: 1.0340 data_time: 0.0313 memory: 27035 grad_norm: 3.5980 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5752 loss: 1.5752 2022/08/09 00:28:19 - mmengine - INFO - Epoch(train) [16][60/1879] lr: 2.0000e-02 eta: 19:11:40 time: 1.0276 data_time: 0.0240 memory: 27035 grad_norm: 3.7264 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4679 loss: 1.4679 2022/08/09 00:28:40 - mmengine - INFO - Epoch(train) [16][80/1879] lr: 2.0000e-02 eta: 19:11:18 time: 1.0366 data_time: 0.0334 memory: 27035 grad_norm: 3.7304 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5517 loss: 1.5517 2022/08/09 00:29:01 - mmengine - INFO - Epoch(train) [16][100/1879] lr: 2.0000e-02 eta: 19:10:57 time: 1.0336 data_time: 0.0295 memory: 27035 grad_norm: 3.6803 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4879 loss: 1.4879 2022/08/09 00:29:21 - mmengine - INFO - Epoch(train) [16][120/1879] lr: 2.0000e-02 eta: 19:10:35 time: 1.0317 data_time: 0.0231 memory: 27035 grad_norm: 3.6634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6740 loss: 1.6740 2022/08/09 00:29:42 - mmengine - INFO - Epoch(train) [16][140/1879] lr: 2.0000e-02 eta: 19:10:13 time: 1.0321 data_time: 0.0223 memory: 27035 grad_norm: 3.6649 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.2351 loss: 1.2351 2022/08/09 00:30:03 - mmengine - INFO - Epoch(train) [16][160/1879] lr: 2.0000e-02 eta: 19:09:51 time: 1.0352 data_time: 0.0247 memory: 27035 grad_norm: 3.6041 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5448 loss: 1.5448 2022/08/09 00:30:24 - mmengine - INFO - Epoch(train) [16][180/1879] lr: 2.0000e-02 eta: 19:09:31 time: 1.0857 data_time: 0.0748 memory: 27035 grad_norm: 3.6441 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3922 loss: 1.3922 2022/08/09 00:30:45 - mmengine - INFO - Epoch(train) [16][200/1879] lr: 2.0000e-02 eta: 19:09:09 time: 1.0266 data_time: 0.0219 memory: 27035 grad_norm: 3.7057 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4983 loss: 1.4983 2022/08/09 00:31:06 - mmengine - INFO - Epoch(train) [16][220/1879] lr: 2.0000e-02 eta: 19:08:47 time: 1.0336 data_time: 0.0248 memory: 27035 grad_norm: 3.6022 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2894 loss: 1.2894 2022/08/09 00:31:26 - mmengine - INFO - Epoch(train) [16][240/1879] lr: 2.0000e-02 eta: 19:08:25 time: 1.0259 data_time: 0.0235 memory: 27035 grad_norm: 3.7006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5831 loss: 1.5831 2022/08/09 00:31:47 - mmengine - INFO - Epoch(train) [16][260/1879] lr: 2.0000e-02 eta: 19:08:03 time: 1.0295 data_time: 0.0248 memory: 27035 grad_norm: 3.7022 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4967 loss: 1.4967 2022/08/09 00:32:07 - mmengine - INFO - Epoch(train) [16][280/1879] lr: 2.0000e-02 eta: 19:07:41 time: 1.0259 data_time: 0.0233 memory: 27035 grad_norm: 3.7534 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6584 loss: 1.6584 2022/08/09 00:32:28 - mmengine - INFO - Epoch(train) [16][300/1879] lr: 2.0000e-02 eta: 19:07:19 time: 1.0284 data_time: 0.0234 memory: 27035 grad_norm: 3.6406 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5541 loss: 1.5541 2022/08/09 00:32:48 - mmengine - INFO - Epoch(train) [16][320/1879] lr: 2.0000e-02 eta: 19:06:57 time: 1.0276 data_time: 0.0226 memory: 27035 grad_norm: 3.6876 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4760 loss: 1.4760 2022/08/09 00:33:09 - mmengine - INFO - Epoch(train) [16][340/1879] lr: 2.0000e-02 eta: 19:06:34 time: 1.0266 data_time: 0.0239 memory: 27035 grad_norm: 3.7618 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4589 loss: 1.4589 2022/08/09 00:33:29 - mmengine - INFO - Epoch(train) [16][360/1879] lr: 2.0000e-02 eta: 19:06:12 time: 1.0291 data_time: 0.0231 memory: 27035 grad_norm: 3.6919 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.5498 loss: 1.5498 2022/08/09 00:33:50 - mmengine - INFO - Epoch(train) [16][380/1879] lr: 2.0000e-02 eta: 19:05:50 time: 1.0285 data_time: 0.0232 memory: 27035 grad_norm: 3.7339 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6533 loss: 1.6533 2022/08/09 00:34:11 - mmengine - INFO - Epoch(train) [16][400/1879] lr: 2.0000e-02 eta: 19:05:28 time: 1.0300 data_time: 0.0236 memory: 27035 grad_norm: 3.5512 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3107 loss: 1.3107 2022/08/09 00:34:31 - mmengine - INFO - Epoch(train) [16][420/1879] lr: 2.0000e-02 eta: 19:05:06 time: 1.0241 data_time: 0.0232 memory: 27035 grad_norm: 3.6612 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6873 loss: 1.6873 2022/08/09 00:34:52 - mmengine - INFO - Epoch(train) [16][440/1879] lr: 2.0000e-02 eta: 19:04:44 time: 1.0265 data_time: 0.0237 memory: 27035 grad_norm: 3.6863 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4371 loss: 1.4371 2022/08/09 00:35:12 - mmengine - INFO - Epoch(train) [16][460/1879] lr: 2.0000e-02 eta: 19:04:22 time: 1.0285 data_time: 0.0240 memory: 27035 grad_norm: 3.7233 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4284 loss: 1.4284 2022/08/09 00:35:33 - mmengine - INFO - Epoch(train) [16][480/1879] lr: 2.0000e-02 eta: 19:04:00 time: 1.0261 data_time: 0.0230 memory: 27035 grad_norm: 3.7401 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.6813 loss: 1.6813 2022/08/09 00:35:53 - mmengine - INFO - Epoch(train) [16][500/1879] lr: 2.0000e-02 eta: 19:03:38 time: 1.0280 data_time: 0.0234 memory: 27035 grad_norm: 3.7288 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5542 loss: 1.5542 2022/08/09 00:36:14 - mmengine - INFO - Epoch(train) [16][520/1879] lr: 2.0000e-02 eta: 19:03:15 time: 1.0273 data_time: 0.0231 memory: 27035 grad_norm: 3.7314 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5223 loss: 1.5223 2022/08/09 00:36:34 - mmengine - INFO - Epoch(train) [16][540/1879] lr: 2.0000e-02 eta: 19:02:53 time: 1.0273 data_time: 0.0232 memory: 27035 grad_norm: 3.6915 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5138 loss: 1.5138 2022/08/09 00:36:55 - mmengine - INFO - Epoch(train) [16][560/1879] lr: 2.0000e-02 eta: 19:02:31 time: 1.0275 data_time: 0.0240 memory: 27035 grad_norm: 3.7002 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3889 loss: 1.3889 2022/08/09 00:37:16 - mmengine - INFO - Epoch(train) [16][580/1879] lr: 2.0000e-02 eta: 19:02:10 time: 1.0456 data_time: 0.0232 memory: 27035 grad_norm: 3.6166 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3647 loss: 1.3647 2022/08/09 00:37:36 - mmengine - INFO - Epoch(train) [16][600/1879] lr: 2.0000e-02 eta: 19:01:48 time: 1.0316 data_time: 0.0233 memory: 27035 grad_norm: 3.6104 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3645 loss: 1.3645 2022/08/09 00:37:57 - mmengine - INFO - Epoch(train) [16][620/1879] lr: 2.0000e-02 eta: 19:01:26 time: 1.0270 data_time: 0.0236 memory: 27035 grad_norm: 3.6056 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4948 loss: 1.4948 2022/08/09 00:38:18 - mmengine - INFO - Epoch(train) [16][640/1879] lr: 2.0000e-02 eta: 19:01:04 time: 1.0298 data_time: 0.0237 memory: 27035 grad_norm: 3.5886 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4433 loss: 1.4433 2022/08/09 00:38:38 - mmengine - INFO - Epoch(train) [16][660/1879] lr: 2.0000e-02 eta: 19:00:42 time: 1.0284 data_time: 0.0228 memory: 27035 grad_norm: 3.5491 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4247 loss: 1.4247 2022/08/09 00:38:59 - mmengine - INFO - Epoch(train) [16][680/1879] lr: 2.0000e-02 eta: 19:00:20 time: 1.0290 data_time: 0.0245 memory: 27035 grad_norm: 3.7314 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5519 loss: 1.5519 2022/08/09 00:39:19 - mmengine - INFO - Epoch(train) [16][700/1879] lr: 2.0000e-02 eta: 18:59:58 time: 1.0340 data_time: 0.0296 memory: 27035 grad_norm: 3.6829 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4310 loss: 1.4310 2022/08/09 00:39:40 - mmengine - INFO - Epoch(train) [16][720/1879] lr: 2.0000e-02 eta: 18:59:36 time: 1.0305 data_time: 0.0232 memory: 27035 grad_norm: 3.7794 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3848 loss: 1.3848 2022/08/09 00:40:01 - mmengine - INFO - Epoch(train) [16][740/1879] lr: 2.0000e-02 eta: 18:59:14 time: 1.0303 data_time: 0.0233 memory: 27035 grad_norm: 3.6511 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5409 loss: 1.5409 2022/08/09 00:40:21 - mmengine - INFO - Epoch(train) [16][760/1879] lr: 2.0000e-02 eta: 18:58:52 time: 1.0345 data_time: 0.0299 memory: 27035 grad_norm: 3.6653 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4967 loss: 1.4967 2022/08/09 00:40:42 - mmengine - INFO - Epoch(train) [16][780/1879] lr: 2.0000e-02 eta: 18:58:30 time: 1.0280 data_time: 0.0238 memory: 27035 grad_norm: 3.6438 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7628 loss: 1.7628 2022/08/09 00:41:03 - mmengine - INFO - Epoch(train) [16][800/1879] lr: 2.0000e-02 eta: 18:58:09 time: 1.0408 data_time: 0.0319 memory: 27035 grad_norm: 3.6728 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5850 loss: 1.5850 2022/08/09 00:41:18 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 00:41:23 - mmengine - INFO - Epoch(train) [16][820/1879] lr: 2.0000e-02 eta: 18:57:47 time: 1.0293 data_time: 0.0233 memory: 27035 grad_norm: 3.5647 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5284 loss: 1.5284 2022/08/09 00:41:44 - mmengine - INFO - Epoch(train) [16][840/1879] lr: 2.0000e-02 eta: 18:57:25 time: 1.0285 data_time: 0.0229 memory: 27035 grad_norm: 3.6773 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6217 loss: 1.6217 2022/08/09 00:42:05 - mmengine - INFO - Epoch(train) [16][860/1879] lr: 2.0000e-02 eta: 18:57:03 time: 1.0303 data_time: 0.0231 memory: 27035 grad_norm: 3.7825 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5339 loss: 1.5339 2022/08/09 00:42:25 - mmengine - INFO - Epoch(train) [16][880/1879] lr: 2.0000e-02 eta: 18:56:41 time: 1.0285 data_time: 0.0239 memory: 27035 grad_norm: 3.5941 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5138 loss: 1.5138 2022/08/09 00:42:46 - mmengine - INFO - Epoch(train) [16][900/1879] lr: 2.0000e-02 eta: 18:56:19 time: 1.0285 data_time: 0.0236 memory: 27035 grad_norm: 3.6578 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3333 loss: 1.3333 2022/08/09 00:43:06 - mmengine - INFO - Epoch(train) [16][920/1879] lr: 2.0000e-02 eta: 18:55:57 time: 1.0308 data_time: 0.0246 memory: 27035 grad_norm: 3.7838 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5064 loss: 1.5064 2022/08/09 00:43:27 - mmengine - INFO - Epoch(train) [16][940/1879] lr: 2.0000e-02 eta: 18:55:35 time: 1.0300 data_time: 0.0240 memory: 27035 grad_norm: 3.6550 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4733 loss: 1.4733 2022/08/09 00:43:48 - mmengine - INFO - Epoch(train) [16][960/1879] lr: 2.0000e-02 eta: 18:55:13 time: 1.0301 data_time: 0.0238 memory: 27035 grad_norm: 3.7917 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4670 loss: 1.4670 2022/08/09 00:44:08 - mmengine - INFO - Epoch(train) [16][980/1879] lr: 2.0000e-02 eta: 18:54:51 time: 1.0278 data_time: 0.0237 memory: 27035 grad_norm: 3.6139 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4860 loss: 1.4860 2022/08/09 00:44:29 - mmengine - INFO - Epoch(train) [16][1000/1879] lr: 2.0000e-02 eta: 18:54:29 time: 1.0275 data_time: 0.0233 memory: 27035 grad_norm: 3.7195 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2998 loss: 1.2998 2022/08/09 00:44:49 - mmengine - INFO - Epoch(train) [16][1020/1879] lr: 2.0000e-02 eta: 18:54:07 time: 1.0278 data_time: 0.0238 memory: 27035 grad_norm: 3.7409 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5952 loss: 1.5952 2022/08/09 00:45:10 - mmengine - INFO - Epoch(train) [16][1040/1879] lr: 2.0000e-02 eta: 18:53:45 time: 1.0293 data_time: 0.0242 memory: 27035 grad_norm: 3.6504 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6285 loss: 1.6285 2022/08/09 00:45:30 - mmengine - INFO - Epoch(train) [16][1060/1879] lr: 2.0000e-02 eta: 18:53:23 time: 1.0340 data_time: 0.0260 memory: 27035 grad_norm: 3.7117 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5935 loss: 1.5935 2022/08/09 00:45:51 - mmengine - INFO - Epoch(train) [16][1080/1879] lr: 2.0000e-02 eta: 18:53:01 time: 1.0376 data_time: 0.0237 memory: 27035 grad_norm: 3.6706 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6020 loss: 1.6020 2022/08/09 00:46:12 - mmengine - INFO - Epoch(train) [16][1100/1879] lr: 2.0000e-02 eta: 18:52:39 time: 1.0322 data_time: 0.0244 memory: 27035 grad_norm: 3.7264 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6048 loss: 1.6048 2022/08/09 00:46:32 - mmengine - INFO - Epoch(train) [16][1120/1879] lr: 2.0000e-02 eta: 18:52:17 time: 1.0279 data_time: 0.0248 memory: 27035 grad_norm: 3.7453 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5852 loss: 1.5852 2022/08/09 00:46:53 - mmengine - INFO - Epoch(train) [16][1140/1879] lr: 2.0000e-02 eta: 18:51:56 time: 1.0322 data_time: 0.0227 memory: 27035 grad_norm: 3.5911 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4809 loss: 1.4809 2022/08/09 00:47:14 - mmengine - INFO - Epoch(train) [16][1160/1879] lr: 2.0000e-02 eta: 18:51:35 time: 1.0604 data_time: 0.0249 memory: 27035 grad_norm: 3.7660 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4497 loss: 1.4497 2022/08/09 00:47:35 - mmengine - INFO - Epoch(train) [16][1180/1879] lr: 2.0000e-02 eta: 18:51:13 time: 1.0372 data_time: 0.0300 memory: 27035 grad_norm: 3.6512 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5986 loss: 1.5986 2022/08/09 00:47:56 - mmengine - INFO - Epoch(train) [16][1200/1879] lr: 2.0000e-02 eta: 18:50:51 time: 1.0272 data_time: 0.0236 memory: 27035 grad_norm: 3.6723 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4941 loss: 1.4941 2022/08/09 00:48:16 - mmengine - INFO - Epoch(train) [16][1220/1879] lr: 2.0000e-02 eta: 18:50:30 time: 1.0365 data_time: 0.0310 memory: 27035 grad_norm: 3.6467 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4392 loss: 1.4392 2022/08/09 00:48:37 - mmengine - INFO - Epoch(train) [16][1240/1879] lr: 2.0000e-02 eta: 18:50:08 time: 1.0267 data_time: 0.0241 memory: 27035 grad_norm: 3.6474 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4515 loss: 1.4515 2022/08/09 00:48:58 - mmengine - INFO - Epoch(train) [16][1260/1879] lr: 2.0000e-02 eta: 18:49:46 time: 1.0336 data_time: 0.0241 memory: 27035 grad_norm: 3.6368 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6580 loss: 1.6580 2022/08/09 00:49:18 - mmengine - INFO - Epoch(train) [16][1280/1879] lr: 2.0000e-02 eta: 18:49:24 time: 1.0285 data_time: 0.0239 memory: 27035 grad_norm: 3.6435 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.5973 loss: 1.5973 2022/08/09 00:49:39 - mmengine - INFO - Epoch(train) [16][1300/1879] lr: 2.0000e-02 eta: 18:49:02 time: 1.0293 data_time: 0.0221 memory: 27035 grad_norm: 3.5937 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4748 loss: 1.4748 2022/08/09 00:49:59 - mmengine - INFO - Epoch(train) [16][1320/1879] lr: 2.0000e-02 eta: 18:48:40 time: 1.0278 data_time: 0.0226 memory: 27035 grad_norm: 3.5838 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4562 loss: 1.4562 2022/08/09 00:50:20 - mmengine - INFO - Epoch(train) [16][1340/1879] lr: 2.0000e-02 eta: 18:48:18 time: 1.0412 data_time: 0.0337 memory: 27035 grad_norm: 3.6186 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5207 loss: 1.5207 2022/08/09 00:50:41 - mmengine - INFO - Epoch(train) [16][1360/1879] lr: 2.0000e-02 eta: 18:47:56 time: 1.0284 data_time: 0.0236 memory: 27035 grad_norm: 3.6011 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4618 loss: 1.4618 2022/08/09 00:51:01 - mmengine - INFO - Epoch(train) [16][1380/1879] lr: 2.0000e-02 eta: 18:47:35 time: 1.0360 data_time: 0.0231 memory: 27035 grad_norm: 3.6096 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4867 loss: 1.4867 2022/08/09 00:51:22 - mmengine - INFO - Epoch(train) [16][1400/1879] lr: 2.0000e-02 eta: 18:47:13 time: 1.0261 data_time: 0.0237 memory: 27035 grad_norm: 3.6935 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5282 loss: 1.5282 2022/08/09 00:51:43 - mmengine - INFO - Epoch(train) [16][1420/1879] lr: 2.0000e-02 eta: 18:46:51 time: 1.0295 data_time: 0.0241 memory: 27035 grad_norm: 3.6232 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4698 loss: 1.4698 2022/08/09 00:52:03 - mmengine - INFO - Epoch(train) [16][1440/1879] lr: 2.0000e-02 eta: 18:46:29 time: 1.0277 data_time: 0.0241 memory: 27035 grad_norm: 3.8015 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5726 loss: 1.5726 2022/08/09 00:52:24 - mmengine - INFO - Epoch(train) [16][1460/1879] lr: 2.0000e-02 eta: 18:46:07 time: 1.0308 data_time: 0.0241 memory: 27035 grad_norm: 3.7436 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3273 loss: 1.3273 2022/08/09 00:52:44 - mmengine - INFO - Epoch(train) [16][1480/1879] lr: 2.0000e-02 eta: 18:45:45 time: 1.0283 data_time: 0.0239 memory: 27035 grad_norm: 3.7422 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4566 loss: 1.4566 2022/08/09 00:53:05 - mmengine - INFO - Epoch(train) [16][1500/1879] lr: 2.0000e-02 eta: 18:45:23 time: 1.0339 data_time: 0.0311 memory: 27035 grad_norm: 3.7446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5283 loss: 1.5283 2022/08/09 00:53:26 - mmengine - INFO - Epoch(train) [16][1520/1879] lr: 2.0000e-02 eta: 18:45:01 time: 1.0294 data_time: 0.0233 memory: 27035 grad_norm: 3.6251 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.5234 loss: 1.5234 2022/08/09 00:53:46 - mmengine - INFO - Epoch(train) [16][1540/1879] lr: 2.0000e-02 eta: 18:44:39 time: 1.0291 data_time: 0.0252 memory: 27035 grad_norm: 3.6045 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3186 loss: 1.3186 2022/08/09 00:54:07 - mmengine - INFO - Epoch(train) [16][1560/1879] lr: 2.0000e-02 eta: 18:44:18 time: 1.0384 data_time: 0.0320 memory: 27035 grad_norm: 3.6539 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3704 loss: 1.3704 2022/08/09 00:54:27 - mmengine - INFO - Epoch(train) [16][1580/1879] lr: 2.0000e-02 eta: 18:43:56 time: 1.0297 data_time: 0.0237 memory: 27035 grad_norm: 3.7902 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4952 loss: 1.4952 2022/08/09 00:54:48 - mmengine - INFO - Epoch(train) [16][1600/1879] lr: 2.0000e-02 eta: 18:43:34 time: 1.0317 data_time: 0.0239 memory: 27035 grad_norm: 3.6956 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5482 loss: 1.5482 2022/08/09 00:55:09 - mmengine - INFO - Epoch(train) [16][1620/1879] lr: 2.0000e-02 eta: 18:43:12 time: 1.0294 data_time: 0.0237 memory: 27035 grad_norm: 3.7543 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6060 loss: 1.6060 2022/08/09 00:55:29 - mmengine - INFO - Epoch(train) [16][1640/1879] lr: 2.0000e-02 eta: 18:42:50 time: 1.0276 data_time: 0.0231 memory: 27035 grad_norm: 3.7478 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5435 loss: 1.5435 2022/08/09 00:55:50 - mmengine - INFO - Epoch(train) [16][1660/1879] lr: 2.0000e-02 eta: 18:42:28 time: 1.0350 data_time: 0.0251 memory: 27035 grad_norm: 3.6498 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5532 loss: 1.5532 2022/08/09 00:56:11 - mmengine - INFO - Epoch(train) [16][1680/1879] lr: 2.0000e-02 eta: 18:42:06 time: 1.0284 data_time: 0.0234 memory: 27035 grad_norm: 3.6547 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7427 loss: 1.7427 2022/08/09 00:56:31 - mmengine - INFO - Epoch(train) [16][1700/1879] lr: 2.0000e-02 eta: 18:41:44 time: 1.0272 data_time: 0.0230 memory: 27035 grad_norm: 3.6078 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4197 loss: 1.4197 2022/08/09 00:56:52 - mmengine - INFO - Epoch(train) [16][1720/1879] lr: 2.0000e-02 eta: 18:41:22 time: 1.0247 data_time: 0.0232 memory: 27035 grad_norm: 3.7647 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4884 loss: 1.4884 2022/08/09 00:57:12 - mmengine - INFO - Epoch(train) [16][1740/1879] lr: 2.0000e-02 eta: 18:41:00 time: 1.0285 data_time: 0.0250 memory: 27035 grad_norm: 3.6721 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5658 loss: 1.5658 2022/08/09 00:57:33 - mmengine - INFO - Epoch(train) [16][1760/1879] lr: 2.0000e-02 eta: 18:40:38 time: 1.0311 data_time: 0.0280 memory: 27035 grad_norm: 3.7027 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5939 loss: 1.5939 2022/08/09 00:57:53 - mmengine - INFO - Epoch(train) [16][1780/1879] lr: 2.0000e-02 eta: 18:40:16 time: 1.0270 data_time: 0.0235 memory: 27035 grad_norm: 3.6372 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3937 loss: 1.3937 2022/08/09 00:58:14 - mmengine - INFO - Epoch(train) [16][1800/1879] lr: 2.0000e-02 eta: 18:39:54 time: 1.0276 data_time: 0.0236 memory: 27035 grad_norm: 3.7670 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6028 loss: 1.6028 2022/08/09 00:58:29 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 00:58:34 - mmengine - INFO - Epoch(train) [16][1820/1879] lr: 2.0000e-02 eta: 18:39:32 time: 1.0297 data_time: 0.0239 memory: 27035 grad_norm: 3.7762 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6353 loss: 1.6353 2022/08/09 00:58:55 - mmengine - INFO - Epoch(train) [16][1840/1879] lr: 2.0000e-02 eta: 18:39:11 time: 1.0376 data_time: 0.0231 memory: 27035 grad_norm: 3.5743 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5878 loss: 1.5878 2022/08/09 00:59:16 - mmengine - INFO - Epoch(train) [16][1860/1879] lr: 2.0000e-02 eta: 18:38:49 time: 1.0329 data_time: 0.0310 memory: 27035 grad_norm: 3.7076 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5175 loss: 1.5175 2022/08/09 00:59:35 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 00:59:35 - mmengine - INFO - Epoch(train) [16][1879/1879] lr: 2.0000e-02 eta: 18:38:49 time: 1.0033 data_time: 0.0228 memory: 27035 grad_norm: 3.6975 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.3777 loss: 1.3777 2022/08/09 00:59:52 - mmengine - INFO - Epoch(val) [16][20/155] eta: 0:01:53 time: 0.8392 data_time: 0.5677 memory: 3270 2022/08/09 01:00:03 - mmengine - INFO - Epoch(val) [16][40/155] eta: 0:01:04 time: 0.5583 data_time: 0.2908 memory: 3270 2022/08/09 01:00:22 - mmengine - INFO - Epoch(val) [16][60/155] eta: 0:01:28 time: 0.9291 data_time: 0.6634 memory: 3270 2022/08/09 01:00:34 - mmengine - INFO - Epoch(val) [16][80/155] eta: 0:00:46 time: 0.6207 data_time: 0.3495 memory: 3270 2022/08/09 01:00:48 - mmengine - INFO - Epoch(val) [16][100/155] eta: 0:00:37 time: 0.6884 data_time: 0.4197 memory: 3270 2022/08/09 01:01:00 - mmengine - INFO - Epoch(val) [16][120/155] eta: 0:00:21 time: 0.6096 data_time: 0.3407 memory: 3270 2022/08/09 01:01:15 - mmengine - INFO - Epoch(val) [16][140/155] eta: 0:00:11 time: 0.7685 data_time: 0.5027 memory: 3270 2022/08/09 01:01:24 - mmengine - INFO - Epoch(val) [16][155/155] acc/top1: 0.6306 acc/top5: 0.8512 acc/mean1: 0.6305 2022/08/09 01:01:24 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_16.pth is removed 2022/08/09 01:01:25 - mmengine - INFO - The best checkpoint with 0.6306 acc/top1 at 17 epoch is saved to best_acc/top1_epoch_17.pth. 2022/08/09 01:01:51 - mmengine - INFO - Epoch(train) [17][20/1879] lr: 2.0000e-02 eta: 18:37:35 time: 1.2707 data_time: 0.2502 memory: 27035 grad_norm: 3.5292 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3745 loss: 1.3745 2022/08/09 01:02:11 - mmengine - INFO - Epoch(train) [17][40/1879] lr: 2.0000e-02 eta: 18:37:13 time: 1.0230 data_time: 0.0231 memory: 27035 grad_norm: 3.6247 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5489 loss: 1.5489 2022/08/09 01:02:32 - mmengine - INFO - Epoch(train) [17][60/1879] lr: 2.0000e-02 eta: 18:36:51 time: 1.0280 data_time: 0.0247 memory: 27035 grad_norm: 3.5505 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4246 loss: 1.4246 2022/08/09 01:02:52 - mmengine - INFO - Epoch(train) [17][80/1879] lr: 2.0000e-02 eta: 18:36:29 time: 1.0277 data_time: 0.0238 memory: 27035 grad_norm: 3.6910 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2621 loss: 1.2621 2022/08/09 01:03:13 - mmengine - INFO - Epoch(train) [17][100/1879] lr: 2.0000e-02 eta: 18:36:07 time: 1.0284 data_time: 0.0243 memory: 27035 grad_norm: 3.6917 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4995 loss: 1.4995 2022/08/09 01:03:33 - mmengine - INFO - Epoch(train) [17][120/1879] lr: 2.0000e-02 eta: 18:35:45 time: 1.0272 data_time: 0.0226 memory: 27035 grad_norm: 3.6959 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4033 loss: 1.4033 2022/08/09 01:03:54 - mmengine - INFO - Epoch(train) [17][140/1879] lr: 2.0000e-02 eta: 18:35:24 time: 1.0320 data_time: 0.0247 memory: 27035 grad_norm: 3.5811 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2803 loss: 1.2803 2022/08/09 01:04:15 - mmengine - INFO - Epoch(train) [17][160/1879] lr: 2.0000e-02 eta: 18:35:02 time: 1.0320 data_time: 0.0235 memory: 27035 grad_norm: 3.6166 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6692 loss: 1.6692 2022/08/09 01:04:35 - mmengine - INFO - Epoch(train) [17][180/1879] lr: 2.0000e-02 eta: 18:34:40 time: 1.0301 data_time: 0.0233 memory: 27035 grad_norm: 3.6608 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5320 loss: 1.5320 2022/08/09 01:04:56 - mmengine - INFO - Epoch(train) [17][200/1879] lr: 2.0000e-02 eta: 18:34:18 time: 1.0333 data_time: 0.0266 memory: 27035 grad_norm: 3.7174 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3622 loss: 1.3622 2022/08/09 01:05:16 - mmengine - INFO - Epoch(train) [17][220/1879] lr: 2.0000e-02 eta: 18:33:56 time: 1.0270 data_time: 0.0233 memory: 27035 grad_norm: 3.6159 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3947 loss: 1.3947 2022/08/09 01:05:37 - mmengine - INFO - Epoch(train) [17][240/1879] lr: 2.0000e-02 eta: 18:33:34 time: 1.0288 data_time: 0.0236 memory: 27035 grad_norm: 3.6617 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4371 loss: 1.4371 2022/08/09 01:05:57 - mmengine - INFO - Epoch(train) [17][260/1879] lr: 2.0000e-02 eta: 18:33:13 time: 1.0280 data_time: 0.0251 memory: 27035 grad_norm: 3.6947 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3554 loss: 1.3554 2022/08/09 01:06:18 - mmengine - INFO - Epoch(train) [17][280/1879] lr: 2.0000e-02 eta: 18:32:51 time: 1.0278 data_time: 0.0245 memory: 27035 grad_norm: 3.5790 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6025 loss: 1.6025 2022/08/09 01:06:39 - mmengine - INFO - Epoch(train) [17][300/1879] lr: 2.0000e-02 eta: 18:32:29 time: 1.0264 data_time: 0.0232 memory: 27035 grad_norm: 3.6325 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4352 loss: 1.4352 2022/08/09 01:06:59 - mmengine - INFO - Epoch(train) [17][320/1879] lr: 2.0000e-02 eta: 18:32:07 time: 1.0275 data_time: 0.0233 memory: 27035 grad_norm: 3.7413 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5039 loss: 1.5039 2022/08/09 01:07:20 - mmengine - INFO - Epoch(train) [17][340/1879] lr: 2.0000e-02 eta: 18:31:46 time: 1.0634 data_time: 0.0239 memory: 27035 grad_norm: 3.6239 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4056 loss: 1.4056 2022/08/09 01:07:41 - mmengine - INFO - Epoch(train) [17][360/1879] lr: 2.0000e-02 eta: 18:31:24 time: 1.0270 data_time: 0.0230 memory: 27035 grad_norm: 3.6994 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6240 loss: 1.6240 2022/08/09 01:08:01 - mmengine - INFO - Epoch(train) [17][380/1879] lr: 2.0000e-02 eta: 18:31:02 time: 1.0260 data_time: 0.0229 memory: 27035 grad_norm: 3.6785 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5051 loss: 1.5051 2022/08/09 01:08:22 - mmengine - INFO - Epoch(train) [17][400/1879] lr: 2.0000e-02 eta: 18:30:40 time: 1.0268 data_time: 0.0234 memory: 27035 grad_norm: 3.6637 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5628 loss: 1.5628 2022/08/09 01:08:43 - mmengine - INFO - Epoch(train) [17][420/1879] lr: 2.0000e-02 eta: 18:30:18 time: 1.0263 data_time: 0.0234 memory: 27035 grad_norm: 3.6122 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5927 loss: 1.5927 2022/08/09 01:09:03 - mmengine - INFO - Epoch(train) [17][440/1879] lr: 2.0000e-02 eta: 18:29:56 time: 1.0264 data_time: 0.0237 memory: 27035 grad_norm: 3.6198 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3396 loss: 1.3396 2022/08/09 01:09:24 - mmengine - INFO - Epoch(train) [17][460/1879] lr: 2.0000e-02 eta: 18:29:35 time: 1.0377 data_time: 0.0322 memory: 27035 grad_norm: 3.5489 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4788 loss: 1.4788 2022/08/09 01:09:44 - mmengine - INFO - Epoch(train) [17][480/1879] lr: 2.0000e-02 eta: 18:29:13 time: 1.0272 data_time: 0.0241 memory: 27035 grad_norm: 3.7532 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5677 loss: 1.5677 2022/08/09 01:10:05 - mmengine - INFO - Epoch(train) [17][500/1879] lr: 2.0000e-02 eta: 18:28:51 time: 1.0276 data_time: 0.0235 memory: 27035 grad_norm: 3.6824 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3678 loss: 1.3678 2022/08/09 01:10:28 - mmengine - INFO - Epoch(train) [17][520/1879] lr: 2.0000e-02 eta: 18:28:34 time: 1.1318 data_time: 0.1196 memory: 27035 grad_norm: 3.7315 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6091 loss: 1.6091 2022/08/09 01:10:48 - mmengine - INFO - Epoch(train) [17][540/1879] lr: 2.0000e-02 eta: 18:28:12 time: 1.0295 data_time: 0.0236 memory: 27035 grad_norm: 3.6919 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4837 loss: 1.4837 2022/08/09 01:11:09 - mmengine - INFO - Epoch(train) [17][560/1879] lr: 2.0000e-02 eta: 18:27:50 time: 1.0264 data_time: 0.0233 memory: 27035 grad_norm: 3.7499 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5063 loss: 1.5063 2022/08/09 01:11:29 - mmengine - INFO - Epoch(train) [17][580/1879] lr: 2.0000e-02 eta: 18:27:28 time: 1.0281 data_time: 0.0245 memory: 27035 grad_norm: 3.7179 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4796 loss: 1.4796 2022/08/09 01:11:50 - mmengine - INFO - Epoch(train) [17][600/1879] lr: 2.0000e-02 eta: 18:27:06 time: 1.0275 data_time: 0.0240 memory: 27035 grad_norm: 3.7168 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4976 loss: 1.4976 2022/08/09 01:12:10 - mmengine - INFO - Epoch(train) [17][620/1879] lr: 2.0000e-02 eta: 18:26:44 time: 1.0286 data_time: 0.0233 memory: 27035 grad_norm: 3.6392 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.5168 loss: 1.5168 2022/08/09 01:12:31 - mmengine - INFO - Epoch(train) [17][640/1879] lr: 2.0000e-02 eta: 18:26:22 time: 1.0283 data_time: 0.0247 memory: 27035 grad_norm: 3.6091 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5336 loss: 1.5336 2022/08/09 01:12:52 - mmengine - INFO - Epoch(train) [17][660/1879] lr: 2.0000e-02 eta: 18:26:01 time: 1.0307 data_time: 0.0245 memory: 27035 grad_norm: 3.7387 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4914 loss: 1.4914 2022/08/09 01:13:12 - mmengine - INFO - Epoch(train) [17][680/1879] lr: 2.0000e-02 eta: 18:25:39 time: 1.0322 data_time: 0.0223 memory: 27035 grad_norm: 3.7751 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4152 loss: 1.4152 2022/08/09 01:13:33 - mmengine - INFO - Epoch(train) [17][700/1879] lr: 2.0000e-02 eta: 18:25:17 time: 1.0299 data_time: 0.0239 memory: 27035 grad_norm: 3.6374 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5945 loss: 1.5945 2022/08/09 01:13:53 - mmengine - INFO - Epoch(train) [17][720/1879] lr: 2.0000e-02 eta: 18:24:55 time: 1.0323 data_time: 0.0232 memory: 27035 grad_norm: 3.6512 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4262 loss: 1.4262 2022/08/09 01:14:14 - mmengine - INFO - Epoch(train) [17][740/1879] lr: 2.0000e-02 eta: 18:24:34 time: 1.0371 data_time: 0.0345 memory: 27035 grad_norm: 3.6443 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5180 loss: 1.5180 2022/08/09 01:14:35 - mmengine - INFO - Epoch(train) [17][760/1879] lr: 2.0000e-02 eta: 18:24:12 time: 1.0338 data_time: 0.0241 memory: 27035 grad_norm: 3.6632 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4335 loss: 1.4335 2022/08/09 01:14:56 - mmengine - INFO - Epoch(train) [17][780/1879] lr: 2.0000e-02 eta: 18:23:50 time: 1.0306 data_time: 0.0240 memory: 27035 grad_norm: 3.7307 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3393 loss: 1.3393 2022/08/09 01:15:16 - mmengine - INFO - Epoch(train) [17][800/1879] lr: 2.0000e-02 eta: 18:23:29 time: 1.0296 data_time: 0.0234 memory: 27035 grad_norm: 3.7128 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5435 loss: 1.5435 2022/08/09 01:15:37 - mmengine - INFO - Epoch(train) [17][820/1879] lr: 2.0000e-02 eta: 18:23:07 time: 1.0292 data_time: 0.0227 memory: 27035 grad_norm: 3.7607 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5202 loss: 1.5202 2022/08/09 01:15:57 - mmengine - INFO - Epoch(train) [17][840/1879] lr: 2.0000e-02 eta: 18:22:45 time: 1.0278 data_time: 0.0232 memory: 27035 grad_norm: 3.5713 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4750 loss: 1.4750 2022/08/09 01:16:18 - mmengine - INFO - Epoch(train) [17][860/1879] lr: 2.0000e-02 eta: 18:22:23 time: 1.0266 data_time: 0.0233 memory: 27035 grad_norm: 3.7050 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6965 loss: 1.6965 2022/08/09 01:16:38 - mmengine - INFO - Epoch(train) [17][880/1879] lr: 2.0000e-02 eta: 18:22:01 time: 1.0284 data_time: 0.0234 memory: 27035 grad_norm: 3.6730 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6977 loss: 1.6977 2022/08/09 01:16:59 - mmengine - INFO - Epoch(train) [17][900/1879] lr: 2.0000e-02 eta: 18:21:39 time: 1.0285 data_time: 0.0243 memory: 27035 grad_norm: 3.6329 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3871 loss: 1.3871 2022/08/09 01:17:20 - mmengine - INFO - Epoch(train) [17][920/1879] lr: 2.0000e-02 eta: 18:21:19 time: 1.0608 data_time: 0.0232 memory: 27035 grad_norm: 3.6661 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5620 loss: 1.5620 2022/08/09 01:17:37 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 01:17:41 - mmengine - INFO - Epoch(train) [17][940/1879] lr: 2.0000e-02 eta: 18:20:57 time: 1.0262 data_time: 0.0243 memory: 27035 grad_norm: 3.6683 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5154 loss: 1.5154 2022/08/09 01:18:01 - mmengine - INFO - Epoch(train) [17][960/1879] lr: 2.0000e-02 eta: 18:20:35 time: 1.0267 data_time: 0.0221 memory: 27035 grad_norm: 3.6466 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4175 loss: 1.4175 2022/08/09 01:18:22 - mmengine - INFO - Epoch(train) [17][980/1879] lr: 2.0000e-02 eta: 18:20:13 time: 1.0253 data_time: 0.0237 memory: 27035 grad_norm: 3.6274 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5504 loss: 1.5504 2022/08/09 01:18:42 - mmengine - INFO - Epoch(train) [17][1000/1879] lr: 2.0000e-02 eta: 18:19:51 time: 1.0298 data_time: 0.0225 memory: 27035 grad_norm: 3.7370 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7218 loss: 1.7218 2022/08/09 01:19:03 - mmengine - INFO - Epoch(train) [17][1020/1879] lr: 2.0000e-02 eta: 18:19:29 time: 1.0268 data_time: 0.0228 memory: 27035 grad_norm: 3.6926 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3398 loss: 1.3398 2022/08/09 01:19:23 - mmengine - INFO - Epoch(train) [17][1040/1879] lr: 2.0000e-02 eta: 18:19:07 time: 1.0261 data_time: 0.0230 memory: 27035 grad_norm: 3.6953 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5008 loss: 1.5008 2022/08/09 01:19:44 - mmengine - INFO - Epoch(train) [17][1060/1879] lr: 2.0000e-02 eta: 18:18:45 time: 1.0271 data_time: 0.0241 memory: 27035 grad_norm: 3.6903 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4549 loss: 1.4549 2022/08/09 01:20:05 - mmengine - INFO - Epoch(train) [17][1080/1879] lr: 2.0000e-02 eta: 18:18:24 time: 1.0302 data_time: 0.0232 memory: 27035 grad_norm: 3.6607 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3756 loss: 1.3756 2022/08/09 01:20:27 - mmengine - INFO - Epoch(train) [17][1100/1879] lr: 2.0000e-02 eta: 18:18:05 time: 1.0978 data_time: 0.0875 memory: 27035 grad_norm: 3.7204 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4715 loss: 1.4715 2022/08/09 01:20:47 - mmengine - INFO - Epoch(train) [17][1120/1879] lr: 2.0000e-02 eta: 18:17:43 time: 1.0280 data_time: 0.0225 memory: 27035 grad_norm: 3.7875 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4710 loss: 1.4710 2022/08/09 01:21:08 - mmengine - INFO - Epoch(train) [17][1140/1879] lr: 2.0000e-02 eta: 18:17:21 time: 1.0272 data_time: 0.0236 memory: 27035 grad_norm: 3.7019 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5175 loss: 1.5175 2022/08/09 01:21:28 - mmengine - INFO - Epoch(train) [17][1160/1879] lr: 2.0000e-02 eta: 18:16:59 time: 1.0277 data_time: 0.0236 memory: 27035 grad_norm: 3.6501 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5780 loss: 1.5780 2022/08/09 01:21:49 - mmengine - INFO - Epoch(train) [17][1180/1879] lr: 2.0000e-02 eta: 18:16:37 time: 1.0285 data_time: 0.0236 memory: 27035 grad_norm: 3.7331 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5813 loss: 1.5813 2022/08/09 01:22:09 - mmengine - INFO - Epoch(train) [17][1200/1879] lr: 2.0000e-02 eta: 18:16:16 time: 1.0341 data_time: 0.0226 memory: 27035 grad_norm: 3.6057 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4858 loss: 1.4858 2022/08/09 01:22:30 - mmengine - INFO - Epoch(train) [17][1220/1879] lr: 2.0000e-02 eta: 18:15:54 time: 1.0262 data_time: 0.0238 memory: 27035 grad_norm: 3.7147 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4145 loss: 1.4145 2022/08/09 01:22:51 - mmengine - INFO - Epoch(train) [17][1240/1879] lr: 2.0000e-02 eta: 18:15:32 time: 1.0269 data_time: 0.0236 memory: 27035 grad_norm: 3.6429 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4204 loss: 1.4204 2022/08/09 01:23:11 - mmengine - INFO - Epoch(train) [17][1260/1879] lr: 2.0000e-02 eta: 18:15:10 time: 1.0266 data_time: 0.0227 memory: 27035 grad_norm: 3.6337 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4923 loss: 1.4923 2022/08/09 01:23:32 - mmengine - INFO - Epoch(train) [17][1280/1879] lr: 2.0000e-02 eta: 18:14:48 time: 1.0260 data_time: 0.0237 memory: 27035 grad_norm: 3.6809 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4038 loss: 1.4038 2022/08/09 01:23:52 - mmengine - INFO - Epoch(train) [17][1300/1879] lr: 2.0000e-02 eta: 18:14:26 time: 1.0268 data_time: 0.0234 memory: 27035 grad_norm: 3.6772 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3980 loss: 1.3980 2022/08/09 01:24:13 - mmengine - INFO - Epoch(train) [17][1320/1879] lr: 2.0000e-02 eta: 18:14:04 time: 1.0296 data_time: 0.0227 memory: 27035 grad_norm: 3.7363 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3935 loss: 1.3935 2022/08/09 01:24:33 - mmengine - INFO - Epoch(train) [17][1340/1879] lr: 2.0000e-02 eta: 18:13:43 time: 1.0261 data_time: 0.0226 memory: 27035 grad_norm: 3.6501 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6592 loss: 1.6592 2022/08/09 01:24:54 - mmengine - INFO - Epoch(train) [17][1360/1879] lr: 2.0000e-02 eta: 18:13:21 time: 1.0282 data_time: 0.0239 memory: 27035 grad_norm: 3.6664 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5518 loss: 1.5518 2022/08/09 01:25:14 - mmengine - INFO - Epoch(train) [17][1380/1879] lr: 2.0000e-02 eta: 18:12:59 time: 1.0290 data_time: 0.0232 memory: 27035 grad_norm: 3.6651 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4904 loss: 1.4904 2022/08/09 01:25:35 - mmengine - INFO - Epoch(train) [17][1400/1879] lr: 2.0000e-02 eta: 18:12:37 time: 1.0277 data_time: 0.0229 memory: 27035 grad_norm: 3.7633 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6288 loss: 1.6288 2022/08/09 01:25:56 - mmengine - INFO - Epoch(train) [17][1420/1879] lr: 2.0000e-02 eta: 18:12:15 time: 1.0274 data_time: 0.0241 memory: 27035 grad_norm: 3.6590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4068 loss: 1.4068 2022/08/09 01:26:16 - mmengine - INFO - Epoch(train) [17][1440/1879] lr: 2.0000e-02 eta: 18:11:54 time: 1.0318 data_time: 0.0233 memory: 27035 grad_norm: 3.7028 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4361 loss: 1.4361 2022/08/09 01:26:37 - mmengine - INFO - Epoch(train) [17][1460/1879] lr: 2.0000e-02 eta: 18:11:32 time: 1.0265 data_time: 0.0230 memory: 27035 grad_norm: 3.7151 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3721 loss: 1.3721 2022/08/09 01:26:57 - mmengine - INFO - Epoch(train) [17][1480/1879] lr: 2.0000e-02 eta: 18:11:10 time: 1.0295 data_time: 0.0241 memory: 27035 grad_norm: 3.6285 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2836 loss: 1.2836 2022/08/09 01:27:18 - mmengine - INFO - Epoch(train) [17][1500/1879] lr: 2.0000e-02 eta: 18:10:49 time: 1.0563 data_time: 0.0236 memory: 27035 grad_norm: 3.6694 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4133 loss: 1.4133 2022/08/09 01:27:39 - mmengine - INFO - Epoch(train) [17][1520/1879] lr: 2.0000e-02 eta: 18:10:27 time: 1.0271 data_time: 0.0242 memory: 27035 grad_norm: 3.7009 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4854 loss: 1.4854 2022/08/09 01:28:00 - mmengine - INFO - Epoch(train) [17][1540/1879] lr: 2.0000e-02 eta: 18:10:06 time: 1.0331 data_time: 0.0304 memory: 27035 grad_norm: 3.6121 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4945 loss: 1.4945 2022/08/09 01:28:20 - mmengine - INFO - Epoch(train) [17][1560/1879] lr: 2.0000e-02 eta: 18:09:44 time: 1.0307 data_time: 0.0238 memory: 27035 grad_norm: 3.7217 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7426 loss: 1.7426 2022/08/09 01:28:41 - mmengine - INFO - Epoch(train) [17][1580/1879] lr: 2.0000e-02 eta: 18:09:22 time: 1.0276 data_time: 0.0234 memory: 27035 grad_norm: 3.7308 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7785 loss: 1.7785 2022/08/09 01:29:01 - mmengine - INFO - Epoch(train) [17][1600/1879] lr: 2.0000e-02 eta: 18:09:00 time: 1.0284 data_time: 0.0242 memory: 27035 grad_norm: 3.6148 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5565 loss: 1.5565 2022/08/09 01:29:22 - mmengine - INFO - Epoch(train) [17][1620/1879] lr: 2.0000e-02 eta: 18:08:39 time: 1.0278 data_time: 0.0237 memory: 27035 grad_norm: 3.5708 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4921 loss: 1.4921 2022/08/09 01:29:43 - mmengine - INFO - Epoch(train) [17][1640/1879] lr: 2.0000e-02 eta: 18:08:17 time: 1.0288 data_time: 0.0241 memory: 27035 grad_norm: 3.7586 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6819 loss: 1.6819 2022/08/09 01:30:03 - mmengine - INFO - Epoch(train) [17][1660/1879] lr: 2.0000e-02 eta: 18:07:55 time: 1.0321 data_time: 0.0249 memory: 27035 grad_norm: 3.7552 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6549 loss: 1.6549 2022/08/09 01:30:25 - mmengine - INFO - Epoch(train) [17][1680/1879] lr: 2.0000e-02 eta: 18:07:36 time: 1.0890 data_time: 0.0737 memory: 27035 grad_norm: 3.7558 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6866 loss: 1.6866 2022/08/09 01:30:46 - mmengine - INFO - Epoch(train) [17][1700/1879] lr: 2.0000e-02 eta: 18:07:14 time: 1.0294 data_time: 0.0231 memory: 27035 grad_norm: 3.7641 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5416 loss: 1.5416 2022/08/09 01:31:06 - mmengine - INFO - Epoch(train) [17][1720/1879] lr: 2.0000e-02 eta: 18:06:52 time: 1.0276 data_time: 0.0230 memory: 27035 grad_norm: 3.6800 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5592 loss: 1.5592 2022/08/09 01:31:27 - mmengine - INFO - Epoch(train) [17][1740/1879] lr: 2.0000e-02 eta: 18:06:30 time: 1.0297 data_time: 0.0234 memory: 27035 grad_norm: 3.7706 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4770 loss: 1.4770 2022/08/09 01:31:47 - mmengine - INFO - Epoch(train) [17][1760/1879] lr: 2.0000e-02 eta: 18:06:09 time: 1.0312 data_time: 0.0243 memory: 27035 grad_norm: 3.7020 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4071 loss: 1.4071 2022/08/09 01:32:08 - mmengine - INFO - Epoch(train) [17][1780/1879] lr: 2.0000e-02 eta: 18:05:47 time: 1.0259 data_time: 0.0240 memory: 27035 grad_norm: 3.6718 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5192 loss: 1.5192 2022/08/09 01:32:28 - mmengine - INFO - Epoch(train) [17][1800/1879] lr: 2.0000e-02 eta: 18:05:25 time: 1.0283 data_time: 0.0238 memory: 27035 grad_norm: 3.7358 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3314 loss: 1.3314 2022/08/09 01:32:49 - mmengine - INFO - Epoch(train) [17][1820/1879] lr: 2.0000e-02 eta: 18:05:03 time: 1.0294 data_time: 0.0238 memory: 27035 grad_norm: 3.7646 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6138 loss: 1.6138 2022/08/09 01:33:10 - mmengine - INFO - Epoch(train) [17][1840/1879] lr: 2.0000e-02 eta: 18:04:42 time: 1.0305 data_time: 0.0233 memory: 27035 grad_norm: 3.7327 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7252 loss: 1.7252 2022/08/09 01:33:30 - mmengine - INFO - Epoch(train) [17][1860/1879] lr: 2.0000e-02 eta: 18:04:20 time: 1.0277 data_time: 0.0230 memory: 27035 grad_norm: 3.7000 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5083 loss: 1.5083 2022/08/09 01:33:49 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 01:33:49 - mmengine - INFO - Epoch(train) [17][1879/1879] lr: 2.0000e-02 eta: 18:04:20 time: 1.0029 data_time: 0.0240 memory: 27035 grad_norm: 3.8224 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.3983 loss: 1.3983 2022/08/09 01:34:06 - mmengine - INFO - Epoch(val) [17][20/155] eta: 0:01:54 time: 0.8499 data_time: 0.5800 memory: 3270 2022/08/09 01:34:16 - mmengine - INFO - Epoch(val) [17][40/155] eta: 0:00:54 time: 0.4738 data_time: 0.2045 memory: 3270 2022/08/09 01:34:29 - mmengine - INFO - Epoch(val) [17][60/155] eta: 0:01:04 time: 0.6782 data_time: 0.4095 memory: 3270 2022/08/09 01:34:43 - mmengine - INFO - Epoch(val) [17][80/155] eta: 0:00:52 time: 0.6943 data_time: 0.4247 memory: 3270 2022/08/09 01:34:56 - mmengine - INFO - Epoch(val) [17][100/155] eta: 0:00:33 time: 0.6162 data_time: 0.3481 memory: 3270 2022/08/09 01:35:10 - mmengine - INFO - Epoch(val) [17][120/155] eta: 0:00:25 time: 0.7232 data_time: 0.4538 memory: 3270 2022/08/09 01:35:24 - mmengine - INFO - Epoch(val) [17][140/155] eta: 0:00:10 time: 0.6783 data_time: 0.4121 memory: 3270 2022/08/09 01:35:35 - mmengine - INFO - Epoch(val) [17][155/155] acc/top1: 0.6139 acc/top5: 0.8425 acc/mean1: 0.6138 2022/08/09 01:36:03 - mmengine - INFO - Epoch(train) [18][20/1879] lr: 2.0000e-02 eta: 18:03:13 time: 1.3863 data_time: 0.2349 memory: 27035 grad_norm: 3.6061 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3803 loss: 1.3803 2022/08/09 01:36:24 - mmengine - INFO - Epoch(train) [18][40/1879] lr: 2.0000e-02 eta: 18:02:52 time: 1.0404 data_time: 0.0230 memory: 27035 grad_norm: 3.7106 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4000 loss: 1.4000 2022/08/09 01:36:41 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 01:36:44 - mmengine - INFO - Epoch(train) [18][60/1879] lr: 2.0000e-02 eta: 18:02:30 time: 1.0272 data_time: 0.0233 memory: 27035 grad_norm: 3.6985 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4134 loss: 1.4134 2022/08/09 01:37:05 - mmengine - INFO - Epoch(train) [18][80/1879] lr: 2.0000e-02 eta: 18:02:09 time: 1.0256 data_time: 0.0212 memory: 27035 grad_norm: 3.6707 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3919 loss: 1.3919 2022/08/09 01:37:26 - mmengine - INFO - Epoch(train) [18][100/1879] lr: 2.0000e-02 eta: 18:01:48 time: 1.0516 data_time: 0.0460 memory: 27035 grad_norm: 3.7654 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.3652 loss: 1.3652 2022/08/09 01:37:46 - mmengine - INFO - Epoch(train) [18][120/1879] lr: 2.0000e-02 eta: 18:01:26 time: 1.0278 data_time: 0.0228 memory: 27035 grad_norm: 3.6553 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4190 loss: 1.4190 2022/08/09 01:38:07 - mmengine - INFO - Epoch(train) [18][140/1879] lr: 2.0000e-02 eta: 18:01:04 time: 1.0317 data_time: 0.0243 memory: 27035 grad_norm: 3.6833 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3203 loss: 1.3203 2022/08/09 01:38:27 - mmengine - INFO - Epoch(train) [18][160/1879] lr: 2.0000e-02 eta: 18:00:42 time: 1.0275 data_time: 0.0235 memory: 27035 grad_norm: 3.7715 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3398 loss: 1.3398 2022/08/09 01:38:48 - mmengine - INFO - Epoch(train) [18][180/1879] lr: 2.0000e-02 eta: 18:00:21 time: 1.0254 data_time: 0.0232 memory: 27035 grad_norm: 3.7365 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4964 loss: 1.4964 2022/08/09 01:39:08 - mmengine - INFO - Epoch(train) [18][200/1879] lr: 2.0000e-02 eta: 17:59:59 time: 1.0255 data_time: 0.0231 memory: 27035 grad_norm: 3.7263 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4357 loss: 1.4357 2022/08/09 01:39:29 - mmengine - INFO - Epoch(train) [18][220/1879] lr: 2.0000e-02 eta: 17:59:37 time: 1.0271 data_time: 0.0230 memory: 27035 grad_norm: 3.6810 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6178 loss: 1.6178 2022/08/09 01:39:49 - mmengine - INFO - Epoch(train) [18][240/1879] lr: 2.0000e-02 eta: 17:59:15 time: 1.0262 data_time: 0.0237 memory: 27035 grad_norm: 3.6679 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4016 loss: 1.4016 2022/08/09 01:40:11 - mmengine - INFO - Epoch(train) [18][260/1879] lr: 2.0000e-02 eta: 17:58:54 time: 1.0516 data_time: 0.0244 memory: 27035 grad_norm: 3.7073 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5072 loss: 1.5072 2022/08/09 01:40:31 - mmengine - INFO - Epoch(train) [18][280/1879] lr: 2.0000e-02 eta: 17:58:33 time: 1.0324 data_time: 0.0227 memory: 27035 grad_norm: 3.6358 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4094 loss: 1.4094 2022/08/09 01:40:52 - mmengine - INFO - Epoch(train) [18][300/1879] lr: 2.0000e-02 eta: 17:58:11 time: 1.0266 data_time: 0.0243 memory: 27035 grad_norm: 3.7291 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3697 loss: 1.3697 2022/08/09 01:41:12 - mmengine - INFO - Epoch(train) [18][320/1879] lr: 2.0000e-02 eta: 17:57:49 time: 1.0325 data_time: 0.0229 memory: 27035 grad_norm: 3.7284 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4889 loss: 1.4889 2022/08/09 01:41:33 - mmengine - INFO - Epoch(train) [18][340/1879] lr: 2.0000e-02 eta: 17:57:28 time: 1.0262 data_time: 0.0240 memory: 27035 grad_norm: 3.6663 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5059 loss: 1.5059 2022/08/09 01:41:53 - mmengine - INFO - Epoch(train) [18][360/1879] lr: 2.0000e-02 eta: 17:57:06 time: 1.0273 data_time: 0.0229 memory: 27035 grad_norm: 3.7039 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6072 loss: 1.6072 2022/08/09 01:42:14 - mmengine - INFO - Epoch(train) [18][380/1879] lr: 2.0000e-02 eta: 17:56:44 time: 1.0286 data_time: 0.0240 memory: 27035 grad_norm: 3.8003 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4872 loss: 1.4872 2022/08/09 01:42:35 - mmengine - INFO - Epoch(train) [18][400/1879] lr: 2.0000e-02 eta: 17:56:22 time: 1.0303 data_time: 0.0230 memory: 27035 grad_norm: 3.6750 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3687 loss: 1.3687 2022/08/09 01:42:55 - mmengine - INFO - Epoch(train) [18][420/1879] lr: 2.0000e-02 eta: 17:56:01 time: 1.0312 data_time: 0.0252 memory: 27035 grad_norm: 3.6463 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4023 loss: 1.4023 2022/08/09 01:43:16 - mmengine - INFO - Epoch(train) [18][440/1879] lr: 2.0000e-02 eta: 17:55:39 time: 1.0366 data_time: 0.0235 memory: 27035 grad_norm: 3.5832 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5129 loss: 1.5129 2022/08/09 01:43:37 - mmengine - INFO - Epoch(train) [18][460/1879] lr: 2.0000e-02 eta: 17:55:18 time: 1.0318 data_time: 0.0237 memory: 27035 grad_norm: 3.5935 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2462 loss: 1.2462 2022/08/09 01:43:57 - mmengine - INFO - Epoch(train) [18][480/1879] lr: 2.0000e-02 eta: 17:54:56 time: 1.0267 data_time: 0.0230 memory: 27035 grad_norm: 3.7085 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6495 loss: 1.6495 2022/08/09 01:44:18 - mmengine - INFO - Epoch(train) [18][500/1879] lr: 2.0000e-02 eta: 17:54:34 time: 1.0286 data_time: 0.0236 memory: 27035 grad_norm: 3.6974 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4584 loss: 1.4584 2022/08/09 01:44:38 - mmengine - INFO - Epoch(train) [18][520/1879] lr: 2.0000e-02 eta: 17:54:13 time: 1.0284 data_time: 0.0231 memory: 27035 grad_norm: 3.6871 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3380 loss: 1.3380 2022/08/09 01:44:59 - mmengine - INFO - Epoch(train) [18][540/1879] lr: 2.0000e-02 eta: 17:53:51 time: 1.0275 data_time: 0.0243 memory: 27035 grad_norm: 3.7037 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4942 loss: 1.4942 2022/08/09 01:45:20 - mmengine - INFO - Epoch(train) [18][560/1879] lr: 2.0000e-02 eta: 17:53:30 time: 1.0399 data_time: 0.0290 memory: 27035 grad_norm: 3.7387 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5535 loss: 1.5535 2022/08/09 01:45:40 - mmengine - INFO - Epoch(train) [18][580/1879] lr: 2.0000e-02 eta: 17:53:08 time: 1.0294 data_time: 0.0235 memory: 27035 grad_norm: 3.6189 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.5838 loss: 1.5838 2022/08/09 01:46:01 - mmengine - INFO - Epoch(train) [18][600/1879] lr: 2.0000e-02 eta: 17:52:47 time: 1.0371 data_time: 0.0294 memory: 27035 grad_norm: 3.6608 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6112 loss: 1.6112 2022/08/09 01:46:22 - mmengine - INFO - Epoch(train) [18][620/1879] lr: 2.0000e-02 eta: 17:52:25 time: 1.0300 data_time: 0.0237 memory: 27035 grad_norm: 3.4916 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3652 loss: 1.3652 2022/08/09 01:46:42 - mmengine - INFO - Epoch(train) [18][640/1879] lr: 2.0000e-02 eta: 17:52:03 time: 1.0311 data_time: 0.0235 memory: 27035 grad_norm: 3.8064 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4145 loss: 1.4145 2022/08/09 01:47:03 - mmengine - INFO - Epoch(train) [18][660/1879] lr: 2.0000e-02 eta: 17:51:42 time: 1.0303 data_time: 0.0235 memory: 27035 grad_norm: 3.6803 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7310 loss: 1.7310 2022/08/09 01:47:24 - mmengine - INFO - Epoch(train) [18][680/1879] lr: 2.0000e-02 eta: 17:51:21 time: 1.0480 data_time: 0.0372 memory: 27035 grad_norm: 3.6869 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4076 loss: 1.4076 2022/08/09 01:47:44 - mmengine - INFO - Epoch(train) [18][700/1879] lr: 2.0000e-02 eta: 17:50:59 time: 1.0271 data_time: 0.0239 memory: 27035 grad_norm: 3.7211 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3967 loss: 1.3967 2022/08/09 01:48:05 - mmengine - INFO - Epoch(train) [18][720/1879] lr: 2.0000e-02 eta: 17:50:37 time: 1.0271 data_time: 0.0235 memory: 27035 grad_norm: 3.6642 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4116 loss: 1.4116 2022/08/09 01:48:25 - mmengine - INFO - Epoch(train) [18][740/1879] lr: 2.0000e-02 eta: 17:50:15 time: 1.0275 data_time: 0.0243 memory: 27035 grad_norm: 3.7292 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5523 loss: 1.5523 2022/08/09 01:48:46 - mmengine - INFO - Epoch(train) [18][760/1879] lr: 2.0000e-02 eta: 17:49:54 time: 1.0313 data_time: 0.0230 memory: 27035 grad_norm: 3.6191 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3983 loss: 1.3983 2022/08/09 01:49:07 - mmengine - INFO - Epoch(train) [18][780/1879] lr: 2.0000e-02 eta: 17:49:32 time: 1.0284 data_time: 0.0241 memory: 27035 grad_norm: 3.6412 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4674 loss: 1.4674 2022/08/09 01:49:27 - mmengine - INFO - Epoch(train) [18][800/1879] lr: 2.0000e-02 eta: 17:49:10 time: 1.0302 data_time: 0.0233 memory: 27035 grad_norm: 3.7034 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5186 loss: 1.5186 2022/08/09 01:49:48 - mmengine - INFO - Epoch(train) [18][820/1879] lr: 2.0000e-02 eta: 17:48:49 time: 1.0284 data_time: 0.0231 memory: 27035 grad_norm: 3.7071 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3921 loss: 1.3921 2022/08/09 01:50:08 - mmengine - INFO - Epoch(train) [18][840/1879] lr: 2.0000e-02 eta: 17:48:27 time: 1.0283 data_time: 0.0222 memory: 27035 grad_norm: 3.7104 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6204 loss: 1.6204 2022/08/09 01:50:29 - mmengine - INFO - Epoch(train) [18][860/1879] lr: 2.0000e-02 eta: 17:48:06 time: 1.0382 data_time: 0.0251 memory: 27035 grad_norm: 3.6559 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4911 loss: 1.4911 2022/08/09 01:50:50 - mmengine - INFO - Epoch(train) [18][880/1879] lr: 2.0000e-02 eta: 17:47:44 time: 1.0270 data_time: 0.0226 memory: 27035 grad_norm: 3.6332 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3950 loss: 1.3950 2022/08/09 01:51:10 - mmengine - INFO - Epoch(train) [18][900/1879] lr: 2.0000e-02 eta: 17:47:22 time: 1.0313 data_time: 0.0234 memory: 27035 grad_norm: 3.6881 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4709 loss: 1.4709 2022/08/09 01:51:31 - mmengine - INFO - Epoch(train) [18][920/1879] lr: 2.0000e-02 eta: 17:47:01 time: 1.0275 data_time: 0.0231 memory: 27035 grad_norm: 3.7623 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4084 loss: 1.4084 2022/08/09 01:51:52 - mmengine - INFO - Epoch(train) [18][940/1879] lr: 2.0000e-02 eta: 17:46:39 time: 1.0292 data_time: 0.0229 memory: 27035 grad_norm: 3.6412 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4620 loss: 1.4620 2022/08/09 01:52:12 - mmengine - INFO - Epoch(train) [18][960/1879] lr: 2.0000e-02 eta: 17:46:17 time: 1.0294 data_time: 0.0225 memory: 27035 grad_norm: 3.7323 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4139 loss: 1.4139 2022/08/09 01:52:33 - mmengine - INFO - Epoch(train) [18][980/1879] lr: 2.0000e-02 eta: 17:45:56 time: 1.0290 data_time: 0.0233 memory: 27035 grad_norm: 3.7057 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.3845 loss: 1.3845 2022/08/09 01:52:53 - mmengine - INFO - Epoch(train) [18][1000/1879] lr: 2.0000e-02 eta: 17:45:34 time: 1.0264 data_time: 0.0234 memory: 27035 grad_norm: 3.8051 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5640 loss: 1.5640 2022/08/09 01:53:14 - mmengine - INFO - Epoch(train) [18][1020/1879] lr: 2.0000e-02 eta: 17:45:12 time: 1.0270 data_time: 0.0230 memory: 27035 grad_norm: 3.6623 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4517 loss: 1.4517 2022/08/09 01:53:34 - mmengine - INFO - Epoch(train) [18][1040/1879] lr: 2.0000e-02 eta: 17:44:51 time: 1.0288 data_time: 0.0235 memory: 27035 grad_norm: 3.6724 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4762 loss: 1.4762 2022/08/09 01:53:52 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 01:53:55 - mmengine - INFO - Epoch(train) [18][1060/1879] lr: 2.0000e-02 eta: 17:44:29 time: 1.0285 data_time: 0.0233 memory: 27035 grad_norm: 3.7664 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7374 loss: 1.7374 2022/08/09 01:54:16 - mmengine - INFO - Epoch(train) [18][1080/1879] lr: 2.0000e-02 eta: 17:44:07 time: 1.0324 data_time: 0.0218 memory: 27035 grad_norm: 3.7195 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4663 loss: 1.4663 2022/08/09 01:54:36 - mmengine - INFO - Epoch(train) [18][1100/1879] lr: 2.0000e-02 eta: 17:43:46 time: 1.0286 data_time: 0.0236 memory: 27035 grad_norm: 3.6681 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6457 loss: 1.6457 2022/08/09 01:54:57 - mmengine - INFO - Epoch(train) [18][1120/1879] lr: 2.0000e-02 eta: 17:43:24 time: 1.0277 data_time: 0.0233 memory: 27035 grad_norm: 3.7403 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3006 loss: 1.3006 2022/08/09 01:55:17 - mmengine - INFO - Epoch(train) [18][1140/1879] lr: 2.0000e-02 eta: 17:43:03 time: 1.0367 data_time: 0.0232 memory: 27035 grad_norm: 3.5980 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.3802 loss: 1.3802 2022/08/09 01:55:38 - mmengine - INFO - Epoch(train) [18][1160/1879] lr: 2.0000e-02 eta: 17:42:41 time: 1.0286 data_time: 0.0238 memory: 27035 grad_norm: 3.6982 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4992 loss: 1.4992 2022/08/09 01:55:59 - mmengine - INFO - Epoch(train) [18][1180/1879] lr: 2.0000e-02 eta: 17:42:19 time: 1.0266 data_time: 0.0231 memory: 27035 grad_norm: 3.5965 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2234 loss: 1.2234 2022/08/09 01:56:19 - mmengine - INFO - Epoch(train) [18][1200/1879] lr: 2.0000e-02 eta: 17:41:57 time: 1.0265 data_time: 0.0223 memory: 27035 grad_norm: 3.6748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5544 loss: 1.5544 2022/08/09 01:56:40 - mmengine - INFO - Epoch(train) [18][1220/1879] lr: 2.0000e-02 eta: 17:41:36 time: 1.0298 data_time: 0.0229 memory: 27035 grad_norm: 3.6792 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4386 loss: 1.4386 2022/08/09 01:57:00 - mmengine - INFO - Epoch(train) [18][1240/1879] lr: 2.0000e-02 eta: 17:41:14 time: 1.0277 data_time: 0.0223 memory: 27035 grad_norm: 3.7253 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7614 loss: 1.7614 2022/08/09 01:57:21 - mmengine - INFO - Epoch(train) [18][1260/1879] lr: 2.0000e-02 eta: 17:40:53 time: 1.0509 data_time: 0.0227 memory: 27035 grad_norm: 3.7074 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5450 loss: 1.5450 2022/08/09 01:57:42 - mmengine - INFO - Epoch(train) [18][1280/1879] lr: 2.0000e-02 eta: 17:40:32 time: 1.0293 data_time: 0.0226 memory: 27035 grad_norm: 3.6948 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3263 loss: 1.3263 2022/08/09 01:58:03 - mmengine - INFO - Epoch(train) [18][1300/1879] lr: 2.0000e-02 eta: 17:40:10 time: 1.0344 data_time: 0.0281 memory: 27035 grad_norm: 3.6296 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4281 loss: 1.4281 2022/08/09 01:58:23 - mmengine - INFO - Epoch(train) [18][1320/1879] lr: 2.0000e-02 eta: 17:39:49 time: 1.0306 data_time: 0.0232 memory: 27035 grad_norm: 3.6500 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4813 loss: 1.4813 2022/08/09 01:58:44 - mmengine - INFO - Epoch(train) [18][1340/1879] lr: 2.0000e-02 eta: 17:39:27 time: 1.0297 data_time: 0.0228 memory: 27035 grad_norm: 3.6544 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3705 loss: 1.3705 2022/08/09 01:59:04 - mmengine - INFO - Epoch(train) [18][1360/1879] lr: 2.0000e-02 eta: 17:39:05 time: 1.0269 data_time: 0.0229 memory: 27035 grad_norm: 3.6267 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4768 loss: 1.4768 2022/08/09 01:59:25 - mmengine - INFO - Epoch(train) [18][1380/1879] lr: 2.0000e-02 eta: 17:38:44 time: 1.0296 data_time: 0.0239 memory: 27035 grad_norm: 3.6417 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.4676 loss: 1.4676 2022/08/09 01:59:45 - mmengine - INFO - Epoch(train) [18][1400/1879] lr: 2.0000e-02 eta: 17:38:22 time: 1.0275 data_time: 0.0223 memory: 27035 grad_norm: 3.6880 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3857 loss: 1.3857 2022/08/09 02:00:08 - mmengine - INFO - Epoch(train) [18][1420/1879] lr: 2.0000e-02 eta: 17:38:03 time: 1.1070 data_time: 0.0279 memory: 27035 grad_norm: 3.7315 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.3596 loss: 1.3596 2022/08/09 02:00:29 - mmengine - INFO - Epoch(train) [18][1440/1879] lr: 2.0000e-02 eta: 17:37:43 time: 1.0669 data_time: 0.0493 memory: 27035 grad_norm: 3.6958 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2725 loss: 1.2725 2022/08/09 02:00:50 - mmengine - INFO - Epoch(train) [18][1460/1879] lr: 2.0000e-02 eta: 17:37:21 time: 1.0293 data_time: 0.0240 memory: 27035 grad_norm: 3.6177 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5666 loss: 1.5666 2022/08/09 02:01:10 - mmengine - INFO - Epoch(train) [18][1480/1879] lr: 2.0000e-02 eta: 17:37:00 time: 1.0264 data_time: 0.0231 memory: 27035 grad_norm: 3.7386 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2531 loss: 1.2531 2022/08/09 02:01:31 - mmengine - INFO - Epoch(train) [18][1500/1879] lr: 2.0000e-02 eta: 17:36:38 time: 1.0283 data_time: 0.0236 memory: 27035 grad_norm: 3.7649 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3823 loss: 1.3823 2022/08/09 02:01:51 - mmengine - INFO - Epoch(train) [18][1520/1879] lr: 2.0000e-02 eta: 17:36:16 time: 1.0266 data_time: 0.0231 memory: 27035 grad_norm: 3.7891 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4525 loss: 1.4525 2022/08/09 02:02:12 - mmengine - INFO - Epoch(train) [18][1540/1879] lr: 2.0000e-02 eta: 17:35:55 time: 1.0373 data_time: 0.0323 memory: 27035 grad_norm: 3.5971 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3626 loss: 1.3626 2022/08/09 02:02:33 - mmengine - INFO - Epoch(train) [18][1560/1879] lr: 2.0000e-02 eta: 17:35:33 time: 1.0310 data_time: 0.0237 memory: 27035 grad_norm: 3.7735 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5266 loss: 1.5266 2022/08/09 02:02:53 - mmengine - INFO - Epoch(train) [18][1580/1879] lr: 2.0000e-02 eta: 17:35:12 time: 1.0306 data_time: 0.0232 memory: 27035 grad_norm: 3.7154 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5710 loss: 1.5710 2022/08/09 02:03:14 - mmengine - INFO - Epoch(train) [18][1600/1879] lr: 2.0000e-02 eta: 17:34:50 time: 1.0343 data_time: 0.0236 memory: 27035 grad_norm: 3.6739 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5426 loss: 1.5426 2022/08/09 02:03:34 - mmengine - INFO - Epoch(train) [18][1620/1879] lr: 2.0000e-02 eta: 17:34:29 time: 1.0300 data_time: 0.0233 memory: 27035 grad_norm: 3.7206 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5451 loss: 1.5451 2022/08/09 02:03:55 - mmengine - INFO - Epoch(train) [18][1640/1879] lr: 2.0000e-02 eta: 17:34:07 time: 1.0330 data_time: 0.0298 memory: 27035 grad_norm: 3.6174 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5805 loss: 1.5805 2022/08/09 02:04:16 - mmengine - INFO - Epoch(train) [18][1660/1879] lr: 2.0000e-02 eta: 17:33:46 time: 1.0316 data_time: 0.0236 memory: 27035 grad_norm: 3.6611 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4092 loss: 1.4092 2022/08/09 02:04:36 - mmengine - INFO - Epoch(train) [18][1680/1879] lr: 2.0000e-02 eta: 17:33:24 time: 1.0351 data_time: 0.0253 memory: 27035 grad_norm: 3.7154 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4640 loss: 1.4640 2022/08/09 02:04:57 - mmengine - INFO - Epoch(train) [18][1700/1879] lr: 2.0000e-02 eta: 17:33:03 time: 1.0364 data_time: 0.0270 memory: 27035 grad_norm: 3.6546 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5209 loss: 1.5209 2022/08/09 02:05:18 - mmengine - INFO - Epoch(train) [18][1720/1879] lr: 2.0000e-02 eta: 17:32:41 time: 1.0327 data_time: 0.0236 memory: 27035 grad_norm: 3.6132 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6586 loss: 1.6586 2022/08/09 02:05:38 - mmengine - INFO - Epoch(train) [18][1740/1879] lr: 2.0000e-02 eta: 17:32:20 time: 1.0310 data_time: 0.0226 memory: 27035 grad_norm: 3.6830 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5433 loss: 1.5433 2022/08/09 02:05:59 - mmengine - INFO - Epoch(train) [18][1760/1879] lr: 2.0000e-02 eta: 17:31:58 time: 1.0265 data_time: 0.0223 memory: 27035 grad_norm: 3.7308 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4829 loss: 1.4829 2022/08/09 02:06:20 - mmengine - INFO - Epoch(train) [18][1780/1879] lr: 2.0000e-02 eta: 17:31:36 time: 1.0271 data_time: 0.0237 memory: 27035 grad_norm: 3.7163 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4154 loss: 1.4154 2022/08/09 02:06:40 - mmengine - INFO - Epoch(train) [18][1800/1879] lr: 2.0000e-02 eta: 17:31:15 time: 1.0263 data_time: 0.0221 memory: 27035 grad_norm: 3.7367 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3639 loss: 1.3639 2022/08/09 02:07:01 - mmengine - INFO - Epoch(train) [18][1820/1879] lr: 2.0000e-02 eta: 17:30:53 time: 1.0306 data_time: 0.0236 memory: 27035 grad_norm: 3.6274 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3335 loss: 1.3335 2022/08/09 02:07:22 - mmengine - INFO - Epoch(train) [18][1840/1879] lr: 2.0000e-02 eta: 17:30:32 time: 1.0407 data_time: 0.0246 memory: 27035 grad_norm: 3.7778 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4726 loss: 1.4726 2022/08/09 02:07:42 - mmengine - INFO - Epoch(train) [18][1860/1879] lr: 2.0000e-02 eta: 17:30:11 time: 1.0366 data_time: 0.0315 memory: 27035 grad_norm: 3.6306 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6289 loss: 1.6289 2022/08/09 02:08:01 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 02:08:01 - mmengine - INFO - Epoch(train) [18][1879/1879] lr: 2.0000e-02 eta: 17:30:11 time: 1.0062 data_time: 0.0212 memory: 27035 grad_norm: 3.7161 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.5222 loss: 1.5222 2022/08/09 02:08:01 - mmengine - INFO - Saving checkpoint at 18 epochs 2022/08/09 02:08:18 - mmengine - INFO - Epoch(val) [18][20/155] eta: 0:01:38 time: 0.7321 data_time: 0.4615 memory: 3270 2022/08/09 02:08:34 - mmengine - INFO - Epoch(val) [18][40/155] eta: 0:01:30 time: 0.7888 data_time: 0.5190 memory: 3270 2022/08/09 02:08:46 - mmengine - INFO - Epoch(val) [18][60/155] eta: 0:00:56 time: 0.6000 data_time: 0.3321 memory: 3270 2022/08/09 02:09:02 - mmengine - INFO - Epoch(val) [18][80/155] eta: 0:00:59 time: 0.7922 data_time: 0.5242 memory: 3270 2022/08/09 02:09:15 - mmengine - INFO - Epoch(val) [18][100/155] eta: 0:00:37 time: 0.6858 data_time: 0.4196 memory: 3270 2022/08/09 02:09:29 - mmengine - INFO - Epoch(val) [18][120/155] eta: 0:00:23 time: 0.6659 data_time: 0.4002 memory: 3270 2022/08/09 02:09:38 - mmengine - INFO - Epoch(val) [18][140/155] eta: 0:00:06 time: 0.4563 data_time: 0.1971 memory: 3270 2022/08/09 02:09:55 - mmengine - INFO - Epoch(val) [18][155/155] acc/top1: 0.6217 acc/top5: 0.8536 acc/mean1: 0.6216 2022/08/09 02:10:22 - mmengine - INFO - Epoch(train) [19][20/1879] lr: 2.0000e-02 eta: 17:29:05 time: 1.3405 data_time: 0.2413 memory: 27035 grad_norm: 3.6884 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4483 loss: 1.4483 2022/08/09 02:10:42 - mmengine - INFO - Epoch(train) [19][40/1879] lr: 2.0000e-02 eta: 17:28:43 time: 1.0279 data_time: 0.0207 memory: 27035 grad_norm: 3.5748 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3662 loss: 1.3662 2022/08/09 02:11:03 - mmengine - INFO - Epoch(train) [19][60/1879] lr: 2.0000e-02 eta: 17:28:21 time: 1.0263 data_time: 0.0225 memory: 27035 grad_norm: 3.8003 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3266 loss: 1.3266 2022/08/09 02:11:24 - mmengine - INFO - Epoch(train) [19][80/1879] lr: 2.0000e-02 eta: 17:28:00 time: 1.0261 data_time: 0.0220 memory: 27035 grad_norm: 3.6928 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4156 loss: 1.4156 2022/08/09 02:11:44 - mmengine - INFO - Epoch(train) [19][100/1879] lr: 2.0000e-02 eta: 17:27:38 time: 1.0299 data_time: 0.0227 memory: 27035 grad_norm: 3.6357 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6798 loss: 1.6798 2022/08/09 02:12:05 - mmengine - INFO - Epoch(train) [19][120/1879] lr: 2.0000e-02 eta: 17:27:17 time: 1.0261 data_time: 0.0227 memory: 27035 grad_norm: 3.6646 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4082 loss: 1.4082 2022/08/09 02:12:25 - mmengine - INFO - Epoch(train) [19][140/1879] lr: 2.0000e-02 eta: 17:26:55 time: 1.0285 data_time: 0.0239 memory: 27035 grad_norm: 3.7653 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5898 loss: 1.5898 2022/08/09 02:12:46 - mmengine - INFO - Epoch(train) [19][160/1879] lr: 2.0000e-02 eta: 17:26:33 time: 1.0306 data_time: 0.0229 memory: 27035 grad_norm: 3.6673 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2857 loss: 1.2857 2022/08/09 02:13:04 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 02:13:07 - mmengine - INFO - Epoch(train) [19][180/1879] lr: 2.0000e-02 eta: 17:26:12 time: 1.0325 data_time: 0.0238 memory: 27035 grad_norm: 3.6996 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6195 loss: 1.6195 2022/08/09 02:13:27 - mmengine - INFO - Epoch(train) [19][200/1879] lr: 2.0000e-02 eta: 17:25:50 time: 1.0289 data_time: 0.0236 memory: 27035 grad_norm: 3.7826 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4451 loss: 1.4451 2022/08/09 02:13:48 - mmengine - INFO - Epoch(train) [19][220/1879] lr: 2.0000e-02 eta: 17:25:29 time: 1.0278 data_time: 0.0231 memory: 27035 grad_norm: 3.6944 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4891 loss: 1.4891 2022/08/09 02:14:08 - mmengine - INFO - Epoch(train) [19][240/1879] lr: 2.0000e-02 eta: 17:25:07 time: 1.0310 data_time: 0.0226 memory: 27035 grad_norm: 3.7678 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4794 loss: 1.4794 2022/08/09 02:14:29 - mmengine - INFO - Epoch(train) [19][260/1879] lr: 2.0000e-02 eta: 17:24:46 time: 1.0267 data_time: 0.0223 memory: 27035 grad_norm: 3.5671 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2706 loss: 1.2706 2022/08/09 02:14:49 - mmengine - INFO - Epoch(train) [19][280/1879] lr: 2.0000e-02 eta: 17:24:24 time: 1.0286 data_time: 0.0229 memory: 27035 grad_norm: 3.4813 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4475 loss: 1.4475 2022/08/09 02:15:10 - mmengine - INFO - Epoch(train) [19][300/1879] lr: 2.0000e-02 eta: 17:24:02 time: 1.0299 data_time: 0.0241 memory: 27035 grad_norm: 3.6678 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5564 loss: 1.5564 2022/08/09 02:15:31 - mmengine - INFO - Epoch(train) [19][320/1879] lr: 2.0000e-02 eta: 17:23:41 time: 1.0319 data_time: 0.0223 memory: 27035 grad_norm: 3.8083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4610 loss: 1.4610 2022/08/09 02:15:51 - mmengine - INFO - Epoch(train) [19][340/1879] lr: 2.0000e-02 eta: 17:23:19 time: 1.0259 data_time: 0.0231 memory: 27035 grad_norm: 3.8858 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6773 loss: 1.6773 2022/08/09 02:16:12 - mmengine - INFO - Epoch(train) [19][360/1879] lr: 2.0000e-02 eta: 17:22:58 time: 1.0271 data_time: 0.0223 memory: 27035 grad_norm: 3.6304 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3705 loss: 1.3705 2022/08/09 02:16:32 - mmengine - INFO - Epoch(train) [19][380/1879] lr: 2.0000e-02 eta: 17:22:36 time: 1.0258 data_time: 0.0232 memory: 27035 grad_norm: 3.7080 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3777 loss: 1.3777 2022/08/09 02:16:53 - mmengine - INFO - Epoch(train) [19][400/1879] lr: 2.0000e-02 eta: 17:22:14 time: 1.0269 data_time: 0.0226 memory: 27035 grad_norm: 3.5803 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3591 loss: 1.3591 2022/08/09 02:17:13 - mmengine - INFO - Epoch(train) [19][420/1879] lr: 2.0000e-02 eta: 17:21:53 time: 1.0284 data_time: 0.0229 memory: 27035 grad_norm: 3.6519 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3054 loss: 1.3054 2022/08/09 02:17:34 - mmengine - INFO - Epoch(train) [19][440/1879] lr: 2.0000e-02 eta: 17:21:31 time: 1.0328 data_time: 0.0236 memory: 27035 grad_norm: 3.6390 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3845 loss: 1.3845 2022/08/09 02:17:55 - mmengine - INFO - Epoch(train) [19][460/1879] lr: 2.0000e-02 eta: 17:21:10 time: 1.0279 data_time: 0.0235 memory: 27035 grad_norm: 3.6252 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5007 loss: 1.5007 2022/08/09 02:18:15 - mmengine - INFO - Epoch(train) [19][480/1879] lr: 2.0000e-02 eta: 17:20:48 time: 1.0275 data_time: 0.0234 memory: 27035 grad_norm: 3.6241 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5620 loss: 1.5620 2022/08/09 02:18:36 - mmengine - INFO - Epoch(train) [19][500/1879] lr: 2.0000e-02 eta: 17:20:27 time: 1.0326 data_time: 0.0227 memory: 27035 grad_norm: 3.8254 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4715 loss: 1.4715 2022/08/09 02:18:56 - mmengine - INFO - Epoch(train) [19][520/1879] lr: 2.0000e-02 eta: 17:20:05 time: 1.0305 data_time: 0.0217 memory: 27035 grad_norm: 3.7707 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6274 loss: 1.6274 2022/08/09 02:19:17 - mmengine - INFO - Epoch(train) [19][540/1879] lr: 2.0000e-02 eta: 17:19:44 time: 1.0281 data_time: 0.0234 memory: 27035 grad_norm: 3.5772 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3484 loss: 1.3484 2022/08/09 02:19:38 - mmengine - INFO - Epoch(train) [19][560/1879] lr: 2.0000e-02 eta: 17:19:22 time: 1.0279 data_time: 0.0225 memory: 27035 grad_norm: 3.5602 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4686 loss: 1.4686 2022/08/09 02:19:58 - mmengine - INFO - Epoch(train) [19][580/1879] lr: 2.0000e-02 eta: 17:19:01 time: 1.0320 data_time: 0.0237 memory: 27035 grad_norm: 3.6575 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.5246 loss: 1.5246 2022/08/09 02:20:19 - mmengine - INFO - Epoch(train) [19][600/1879] lr: 2.0000e-02 eta: 17:18:39 time: 1.0343 data_time: 0.0229 memory: 27035 grad_norm: 3.7786 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5554 loss: 1.5554 2022/08/09 02:20:39 - mmengine - INFO - Epoch(train) [19][620/1879] lr: 2.0000e-02 eta: 17:18:18 time: 1.0276 data_time: 0.0238 memory: 27035 grad_norm: 3.7693 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7055 loss: 1.7055 2022/08/09 02:21:00 - mmengine - INFO - Epoch(train) [19][640/1879] lr: 2.0000e-02 eta: 17:17:56 time: 1.0293 data_time: 0.0231 memory: 27035 grad_norm: 3.7526 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6336 loss: 1.6336 2022/08/09 02:21:21 - mmengine - INFO - Epoch(train) [19][660/1879] lr: 2.0000e-02 eta: 17:17:34 time: 1.0283 data_time: 0.0231 memory: 27035 grad_norm: 3.5699 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5186 loss: 1.5186 2022/08/09 02:21:41 - mmengine - INFO - Epoch(train) [19][680/1879] lr: 2.0000e-02 eta: 17:17:13 time: 1.0373 data_time: 0.0305 memory: 27035 grad_norm: 3.7669 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4803 loss: 1.4803 2022/08/09 02:22:02 - mmengine - INFO - Epoch(train) [19][700/1879] lr: 2.0000e-02 eta: 17:16:51 time: 1.0259 data_time: 0.0232 memory: 27035 grad_norm: 3.7855 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4198 loss: 1.4198 2022/08/09 02:22:22 - mmengine - INFO - Epoch(train) [19][720/1879] lr: 2.0000e-02 eta: 17:16:30 time: 1.0303 data_time: 0.0236 memory: 27035 grad_norm: 3.7330 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6815 loss: 1.6815 2022/08/09 02:22:43 - mmengine - INFO - Epoch(train) [19][740/1879] lr: 2.0000e-02 eta: 17:16:09 time: 1.0310 data_time: 0.0236 memory: 27035 grad_norm: 3.5773 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3785 loss: 1.3785 2022/08/09 02:23:04 - mmengine - INFO - Epoch(train) [19][760/1879] lr: 2.0000e-02 eta: 17:15:47 time: 1.0321 data_time: 0.0247 memory: 27035 grad_norm: 3.6594 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4769 loss: 1.4769 2022/08/09 02:23:24 - mmengine - INFO - Epoch(train) [19][780/1879] lr: 2.0000e-02 eta: 17:15:26 time: 1.0300 data_time: 0.0233 memory: 27035 grad_norm: 3.7311 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3894 loss: 1.3894 2022/08/09 02:23:45 - mmengine - INFO - Epoch(train) [19][800/1879] lr: 2.0000e-02 eta: 17:15:04 time: 1.0279 data_time: 0.0233 memory: 27035 grad_norm: 3.6742 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4922 loss: 1.4922 2022/08/09 02:24:05 - mmengine - INFO - Epoch(train) [19][820/1879] lr: 2.0000e-02 eta: 17:14:42 time: 1.0297 data_time: 0.0228 memory: 27035 grad_norm: 3.7082 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5475 loss: 1.5475 2022/08/09 02:24:26 - mmengine - INFO - Epoch(train) [19][840/1879] lr: 2.0000e-02 eta: 17:14:21 time: 1.0274 data_time: 0.0229 memory: 27035 grad_norm: 3.6506 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3348 loss: 1.3348 2022/08/09 02:24:47 - mmengine - INFO - Epoch(train) [19][860/1879] lr: 2.0000e-02 eta: 17:13:59 time: 1.0294 data_time: 0.0239 memory: 27035 grad_norm: 3.6777 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3757 loss: 1.3757 2022/08/09 02:25:07 - mmengine - INFO - Epoch(train) [19][880/1879] lr: 2.0000e-02 eta: 17:13:38 time: 1.0292 data_time: 0.0248 memory: 27035 grad_norm: 3.6978 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6483 loss: 1.6483 2022/08/09 02:25:29 - mmengine - INFO - Epoch(train) [19][900/1879] lr: 2.0000e-02 eta: 17:13:18 time: 1.0707 data_time: 0.0615 memory: 27035 grad_norm: 3.7126 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4685 loss: 1.4685 2022/08/09 02:25:49 - mmengine - INFO - Epoch(train) [19][920/1879] lr: 2.0000e-02 eta: 17:12:56 time: 1.0274 data_time: 0.0218 memory: 27035 grad_norm: 3.7059 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.3232 loss: 1.3232 2022/08/09 02:26:10 - mmengine - INFO - Epoch(train) [19][940/1879] lr: 2.0000e-02 eta: 17:12:35 time: 1.0329 data_time: 0.0239 memory: 27035 grad_norm: 3.7222 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5776 loss: 1.5776 2022/08/09 02:26:30 - mmengine - INFO - Epoch(train) [19][960/1879] lr: 2.0000e-02 eta: 17:12:13 time: 1.0292 data_time: 0.0231 memory: 27035 grad_norm: 3.6550 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4095 loss: 1.4095 2022/08/09 02:26:51 - mmengine - INFO - Epoch(train) [19][980/1879] lr: 2.0000e-02 eta: 17:11:52 time: 1.0277 data_time: 0.0233 memory: 27035 grad_norm: 3.6850 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4851 loss: 1.4851 2022/08/09 02:27:12 - mmengine - INFO - Epoch(train) [19][1000/1879] lr: 2.0000e-02 eta: 17:11:30 time: 1.0318 data_time: 0.0221 memory: 27035 grad_norm: 3.5705 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4983 loss: 1.4983 2022/08/09 02:27:33 - mmengine - INFO - Epoch(train) [19][1020/1879] lr: 2.0000e-02 eta: 17:11:10 time: 1.0598 data_time: 0.0538 memory: 27035 grad_norm: 3.6603 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5632 loss: 1.5632 2022/08/09 02:27:53 - mmengine - INFO - Epoch(train) [19][1040/1879] lr: 2.0000e-02 eta: 17:10:48 time: 1.0260 data_time: 0.0224 memory: 27035 grad_norm: 3.6700 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4393 loss: 1.4393 2022/08/09 02:28:14 - mmengine - INFO - Epoch(train) [19][1060/1879] lr: 2.0000e-02 eta: 17:10:27 time: 1.0358 data_time: 0.0234 memory: 27035 grad_norm: 3.5912 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5315 loss: 1.5315 2022/08/09 02:28:35 - mmengine - INFO - Epoch(train) [19][1080/1879] lr: 2.0000e-02 eta: 17:10:05 time: 1.0323 data_time: 0.0220 memory: 27035 grad_norm: 3.7098 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3812 loss: 1.3812 2022/08/09 02:28:55 - mmengine - INFO - Epoch(train) [19][1100/1879] lr: 2.0000e-02 eta: 17:09:44 time: 1.0278 data_time: 0.0239 memory: 27035 grad_norm: 3.6897 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4400 loss: 1.4400 2022/08/09 02:29:16 - mmengine - INFO - Epoch(train) [19][1120/1879] lr: 2.0000e-02 eta: 17:09:22 time: 1.0273 data_time: 0.0240 memory: 27035 grad_norm: 3.7091 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3802 loss: 1.3802 2022/08/09 02:29:36 - mmengine - INFO - Epoch(train) [19][1140/1879] lr: 2.0000e-02 eta: 17:09:01 time: 1.0289 data_time: 0.0232 memory: 27035 grad_norm: 3.7550 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4472 loss: 1.4472 2022/08/09 02:29:57 - mmengine - INFO - Epoch(train) [19][1160/1879] lr: 2.0000e-02 eta: 17:08:39 time: 1.0294 data_time: 0.0229 memory: 27035 grad_norm: 3.7325 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5126 loss: 1.5126 2022/08/09 02:30:16 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 02:30:18 - mmengine - INFO - Epoch(train) [19][1180/1879] lr: 2.0000e-02 eta: 17:08:18 time: 1.0455 data_time: 0.0254 memory: 27035 grad_norm: 3.7178 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6066 loss: 1.6066 2022/08/09 02:30:39 - mmengine - INFO - Epoch(train) [19][1200/1879] lr: 2.0000e-02 eta: 17:07:57 time: 1.0324 data_time: 0.0237 memory: 27035 grad_norm: 3.7653 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3739 loss: 1.3739 2022/08/09 02:30:59 - mmengine - INFO - Epoch(train) [19][1220/1879] lr: 2.0000e-02 eta: 17:07:35 time: 1.0306 data_time: 0.0232 memory: 27035 grad_norm: 3.7417 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3320 loss: 1.3320 2022/08/09 02:31:20 - mmengine - INFO - Epoch(train) [19][1240/1879] lr: 2.0000e-02 eta: 17:07:14 time: 1.0303 data_time: 0.0226 memory: 27035 grad_norm: 3.7541 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4326 loss: 1.4326 2022/08/09 02:31:40 - mmengine - INFO - Epoch(train) [19][1260/1879] lr: 2.0000e-02 eta: 17:06:52 time: 1.0287 data_time: 0.0232 memory: 27035 grad_norm: 3.7083 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5559 loss: 1.5559 2022/08/09 02:32:01 - mmengine - INFO - Epoch(train) [19][1280/1879] lr: 2.0000e-02 eta: 17:06:31 time: 1.0299 data_time: 0.0230 memory: 27035 grad_norm: 3.7527 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3155 loss: 1.3155 2022/08/09 02:32:22 - mmengine - INFO - Epoch(train) [19][1300/1879] lr: 2.0000e-02 eta: 17:06:09 time: 1.0274 data_time: 0.0235 memory: 27035 grad_norm: 3.5993 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5134 loss: 1.5134 2022/08/09 02:32:42 - mmengine - INFO - Epoch(train) [19][1320/1879] lr: 2.0000e-02 eta: 17:05:47 time: 1.0257 data_time: 0.0227 memory: 27035 grad_norm: 3.6872 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4384 loss: 1.4384 2022/08/09 02:33:03 - mmengine - INFO - Epoch(train) [19][1340/1879] lr: 2.0000e-02 eta: 17:05:26 time: 1.0273 data_time: 0.0233 memory: 27035 grad_norm: 3.6617 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4103 loss: 1.4103 2022/08/09 02:33:23 - mmengine - INFO - Epoch(train) [19][1360/1879] lr: 2.0000e-02 eta: 17:05:04 time: 1.0269 data_time: 0.0229 memory: 27035 grad_norm: 3.7088 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4935 loss: 1.4935 2022/08/09 02:33:44 - mmengine - INFO - Epoch(train) [19][1380/1879] lr: 2.0000e-02 eta: 17:04:43 time: 1.0270 data_time: 0.0251 memory: 27035 grad_norm: 3.6592 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3880 loss: 1.3880 2022/08/09 02:34:04 - mmengine - INFO - Epoch(train) [19][1400/1879] lr: 2.0000e-02 eta: 17:04:21 time: 1.0378 data_time: 0.0293 memory: 27035 grad_norm: 3.7675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3820 loss: 1.3820 2022/08/09 02:34:25 - mmengine - INFO - Epoch(train) [19][1420/1879] lr: 2.0000e-02 eta: 17:04:00 time: 1.0288 data_time: 0.0238 memory: 27035 grad_norm: 3.6003 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3876 loss: 1.3876 2022/08/09 02:34:46 - mmengine - INFO - Epoch(train) [19][1440/1879] lr: 2.0000e-02 eta: 17:03:38 time: 1.0254 data_time: 0.0233 memory: 27035 grad_norm: 3.7237 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5545 loss: 1.5545 2022/08/09 02:35:06 - mmengine - INFO - Epoch(train) [19][1460/1879] lr: 2.0000e-02 eta: 17:03:17 time: 1.0302 data_time: 0.0246 memory: 27035 grad_norm: 3.6784 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2860 loss: 1.2860 2022/08/09 02:35:28 - mmengine - INFO - Epoch(train) [19][1480/1879] lr: 2.0000e-02 eta: 17:02:57 time: 1.0873 data_time: 0.0829 memory: 27035 grad_norm: 3.7735 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5505 loss: 1.5505 2022/08/09 02:35:49 - mmengine - INFO - Epoch(train) [19][1500/1879] lr: 2.0000e-02 eta: 17:02:36 time: 1.0319 data_time: 0.0258 memory: 27035 grad_norm: 3.7598 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4985 loss: 1.4985 2022/08/09 02:36:09 - mmengine - INFO - Epoch(train) [19][1520/1879] lr: 2.0000e-02 eta: 17:02:14 time: 1.0295 data_time: 0.0223 memory: 27035 grad_norm: 3.8205 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5878 loss: 1.5878 2022/08/09 02:36:30 - mmengine - INFO - Epoch(train) [19][1540/1879] lr: 2.0000e-02 eta: 17:01:53 time: 1.0285 data_time: 0.0232 memory: 27035 grad_norm: 3.6092 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4925 loss: 1.4925 2022/08/09 02:36:50 - mmengine - INFO - Epoch(train) [19][1560/1879] lr: 2.0000e-02 eta: 17:01:31 time: 1.0291 data_time: 0.0227 memory: 27035 grad_norm: 3.6291 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7218 loss: 1.7218 2022/08/09 02:37:11 - mmengine - INFO - Epoch(train) [19][1580/1879] lr: 2.0000e-02 eta: 17:01:10 time: 1.0300 data_time: 0.0238 memory: 27035 grad_norm: 3.7845 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4960 loss: 1.4960 2022/08/09 02:37:32 - mmengine - INFO - Epoch(train) [19][1600/1879] lr: 2.0000e-02 eta: 17:00:49 time: 1.0399 data_time: 0.0340 memory: 27035 grad_norm: 3.7480 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4209 loss: 1.4209 2022/08/09 02:37:52 - mmengine - INFO - Epoch(train) [19][1620/1879] lr: 2.0000e-02 eta: 17:00:27 time: 1.0266 data_time: 0.0240 memory: 27035 grad_norm: 3.7602 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6492 loss: 1.6492 2022/08/09 02:38:13 - mmengine - INFO - Epoch(train) [19][1640/1879] lr: 2.0000e-02 eta: 17:00:06 time: 1.0324 data_time: 0.0238 memory: 27035 grad_norm: 3.6858 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4391 loss: 1.4391 2022/08/09 02:38:34 - mmengine - INFO - Epoch(train) [19][1660/1879] lr: 2.0000e-02 eta: 16:59:44 time: 1.0334 data_time: 0.0245 memory: 27035 grad_norm: 3.6923 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4300 loss: 1.4300 2022/08/09 02:38:54 - mmengine - INFO - Epoch(train) [19][1680/1879] lr: 2.0000e-02 eta: 16:59:23 time: 1.0263 data_time: 0.0230 memory: 27035 grad_norm: 3.6864 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3991 loss: 1.3991 2022/08/09 02:39:15 - mmengine - INFO - Epoch(train) [19][1700/1879] lr: 2.0000e-02 eta: 16:59:01 time: 1.0309 data_time: 0.0257 memory: 27035 grad_norm: 3.7260 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5487 loss: 1.5487 2022/08/09 02:39:35 - mmengine - INFO - Epoch(train) [19][1720/1879] lr: 2.0000e-02 eta: 16:58:40 time: 1.0256 data_time: 0.0233 memory: 27035 grad_norm: 3.7271 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.4489 loss: 1.4489 2022/08/09 02:39:56 - mmengine - INFO - Epoch(train) [19][1740/1879] lr: 2.0000e-02 eta: 16:58:18 time: 1.0275 data_time: 0.0243 memory: 27035 grad_norm: 3.6270 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2890 loss: 1.2890 2022/08/09 02:40:16 - mmengine - INFO - Epoch(train) [19][1760/1879] lr: 2.0000e-02 eta: 16:57:57 time: 1.0282 data_time: 0.0240 memory: 27035 grad_norm: 3.7241 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6308 loss: 1.6308 2022/08/09 02:40:37 - mmengine - INFO - Epoch(train) [19][1780/1879] lr: 2.0000e-02 eta: 16:57:35 time: 1.0320 data_time: 0.0243 memory: 27035 grad_norm: 3.8279 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6119 loss: 1.6119 2022/08/09 02:40:58 - mmengine - INFO - Epoch(train) [19][1800/1879] lr: 2.0000e-02 eta: 16:57:14 time: 1.0272 data_time: 0.0234 memory: 27035 grad_norm: 3.8119 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6152 loss: 1.6152 2022/08/09 02:41:18 - mmengine - INFO - Epoch(train) [19][1820/1879] lr: 2.0000e-02 eta: 16:56:52 time: 1.0328 data_time: 0.0235 memory: 27035 grad_norm: 3.6952 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7205 loss: 1.7205 2022/08/09 02:41:39 - mmengine - INFO - Epoch(train) [19][1840/1879] lr: 2.0000e-02 eta: 16:56:31 time: 1.0358 data_time: 0.0296 memory: 27035 grad_norm: 3.6312 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5900 loss: 1.5900 2022/08/09 02:42:00 - mmengine - INFO - Epoch(train) [19][1860/1879] lr: 2.0000e-02 eta: 16:56:10 time: 1.0286 data_time: 0.0248 memory: 27035 grad_norm: 3.7192 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5305 loss: 1.5305 2022/08/09 02:42:19 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 02:42:19 - mmengine - INFO - Epoch(train) [19][1879/1879] lr: 2.0000e-02 eta: 16:56:10 time: 1.0071 data_time: 0.0301 memory: 27035 grad_norm: 3.7843 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.4905 loss: 1.4905 2022/08/09 02:42:37 - mmengine - INFO - Epoch(val) [19][20/155] eta: 0:02:06 time: 0.9360 data_time: 0.6643 memory: 3270 2022/08/09 02:42:46 - mmengine - INFO - Epoch(val) [19][40/155] eta: 0:00:51 time: 0.4511 data_time: 0.1821 memory: 3270 2022/08/09 02:43:01 - mmengine - INFO - Epoch(val) [19][60/155] eta: 0:01:08 time: 0.7258 data_time: 0.4570 memory: 3270 2022/08/09 02:43:12 - mmengine - INFO - Epoch(val) [19][80/155] eta: 0:00:42 time: 0.5646 data_time: 0.2964 memory: 3270 2022/08/09 02:43:27 - mmengine - INFO - Epoch(val) [19][100/155] eta: 0:00:39 time: 0.7143 data_time: 0.4439 memory: 3270 2022/08/09 02:43:41 - mmengine - INFO - Epoch(val) [19][120/155] eta: 0:00:24 time: 0.7017 data_time: 0.4297 memory: 3270 2022/08/09 02:43:53 - mmengine - INFO - Epoch(val) [19][140/155] eta: 0:00:09 time: 0.6168 data_time: 0.3546 memory: 3270 2022/08/09 02:44:02 - mmengine - INFO - Epoch(val) [19][155/155] acc/top1: 0.6312 acc/top5: 0.8572 acc/mean1: 0.6313 2022/08/09 02:44:03 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_17.pth is removed 2022/08/09 02:44:04 - mmengine - INFO - The best checkpoint with 0.6312 acc/top1 at 20 epoch is saved to best_acc/top1_epoch_20.pth. 2022/08/09 02:44:30 - mmengine - INFO - Epoch(train) [20][20/1879] lr: 2.0000e-02 eta: 16:55:05 time: 1.2983 data_time: 0.2586 memory: 27035 grad_norm: 3.6272 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3449 loss: 1.3449 2022/08/09 02:44:50 - mmengine - INFO - Epoch(train) [20][40/1879] lr: 2.0000e-02 eta: 16:54:43 time: 1.0274 data_time: 0.0234 memory: 27035 grad_norm: 3.6189 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2549 loss: 1.2549 2022/08/09 02:45:11 - mmengine - INFO - Epoch(train) [20][60/1879] lr: 2.0000e-02 eta: 16:54:22 time: 1.0367 data_time: 0.0293 memory: 27035 grad_norm: 3.6281 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3802 loss: 1.3802 2022/08/09 02:45:32 - mmengine - INFO - Epoch(train) [20][80/1879] lr: 2.0000e-02 eta: 16:54:00 time: 1.0344 data_time: 0.0243 memory: 27035 grad_norm: 3.8372 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2878 loss: 1.2878 2022/08/09 02:45:52 - mmengine - INFO - Epoch(train) [20][100/1879] lr: 2.0000e-02 eta: 16:53:39 time: 1.0270 data_time: 0.0231 memory: 27035 grad_norm: 3.6785 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5971 loss: 1.5971 2022/08/09 02:46:13 - mmengine - INFO - Epoch(train) [20][120/1879] lr: 2.0000e-02 eta: 16:53:18 time: 1.0296 data_time: 0.0244 memory: 27035 grad_norm: 3.6752 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3483 loss: 1.3483 2022/08/09 02:46:34 - mmengine - INFO - Epoch(train) [20][140/1879] lr: 2.0000e-02 eta: 16:52:56 time: 1.0354 data_time: 0.0227 memory: 27035 grad_norm: 3.7276 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6004 loss: 1.6004 2022/08/09 02:46:54 - mmengine - INFO - Epoch(train) [20][160/1879] lr: 2.0000e-02 eta: 16:52:35 time: 1.0276 data_time: 0.0233 memory: 27035 grad_norm: 3.6812 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2750 loss: 1.2750 2022/08/09 02:47:15 - mmengine - INFO - Epoch(train) [20][180/1879] lr: 2.0000e-02 eta: 16:52:14 time: 1.0630 data_time: 0.0558 memory: 27035 grad_norm: 3.6787 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3173 loss: 1.3173 2022/08/09 02:47:36 - mmengine - INFO - Epoch(train) [20][200/1879] lr: 2.0000e-02 eta: 16:51:53 time: 1.0287 data_time: 0.0241 memory: 27035 grad_norm: 3.7808 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3756 loss: 1.3756 2022/08/09 02:47:57 - mmengine - INFO - Epoch(train) [20][220/1879] lr: 2.0000e-02 eta: 16:51:31 time: 1.0293 data_time: 0.0236 memory: 27035 grad_norm: 3.8909 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4151 loss: 1.4151 2022/08/09 02:48:17 - mmengine - INFO - Epoch(train) [20][240/1879] lr: 2.0000e-02 eta: 16:51:10 time: 1.0291 data_time: 0.0235 memory: 27035 grad_norm: 3.6873 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3840 loss: 1.3840 2022/08/09 02:48:38 - mmengine - INFO - Epoch(train) [20][260/1879] lr: 2.0000e-02 eta: 16:50:49 time: 1.0290 data_time: 0.0234 memory: 27035 grad_norm: 3.7354 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5315 loss: 1.5315 2022/08/09 02:48:58 - mmengine - INFO - Epoch(train) [20][280/1879] lr: 2.0000e-02 eta: 16:50:27 time: 1.0275 data_time: 0.0241 memory: 27035 grad_norm: 3.8152 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4933 loss: 1.4933 2022/08/09 02:49:18 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 02:49:19 - mmengine - INFO - Epoch(train) [20][300/1879] lr: 2.0000e-02 eta: 16:50:05 time: 1.0271 data_time: 0.0242 memory: 27035 grad_norm: 3.6508 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5054 loss: 1.5054 2022/08/09 02:49:39 - mmengine - INFO - Epoch(train) [20][320/1879] lr: 2.0000e-02 eta: 16:49:44 time: 1.0258 data_time: 0.0224 memory: 27035 grad_norm: 3.6604 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4680 loss: 1.4680 2022/08/09 02:50:00 - mmengine - INFO - Epoch(train) [20][340/1879] lr: 2.0000e-02 eta: 16:49:22 time: 1.0290 data_time: 0.0221 memory: 27035 grad_norm: 3.7620 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5133 loss: 1.5133 2022/08/09 02:50:21 - mmengine - INFO - Epoch(train) [20][360/1879] lr: 2.0000e-02 eta: 16:49:01 time: 1.0309 data_time: 0.0246 memory: 27035 grad_norm: 3.5528 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4836 loss: 1.4836 2022/08/09 02:50:41 - mmengine - INFO - Epoch(train) [20][380/1879] lr: 2.0000e-02 eta: 16:48:40 time: 1.0272 data_time: 0.0237 memory: 27035 grad_norm: 3.6647 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3127 loss: 1.3127 2022/08/09 02:51:02 - mmengine - INFO - Epoch(train) [20][400/1879] lr: 2.0000e-02 eta: 16:48:18 time: 1.0301 data_time: 0.0228 memory: 27035 grad_norm: 3.7268 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2616 loss: 1.2616 2022/08/09 02:51:22 - mmengine - INFO - Epoch(train) [20][420/1879] lr: 2.0000e-02 eta: 16:47:57 time: 1.0305 data_time: 0.0240 memory: 27035 grad_norm: 3.7206 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.3632 loss: 1.3632 2022/08/09 02:51:43 - mmengine - INFO - Epoch(train) [20][440/1879] lr: 2.0000e-02 eta: 16:47:35 time: 1.0300 data_time: 0.0228 memory: 27035 grad_norm: 3.7251 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5067 loss: 1.5067 2022/08/09 02:52:03 - mmengine - INFO - Epoch(train) [20][460/1879] lr: 2.0000e-02 eta: 16:47:14 time: 1.0259 data_time: 0.0235 memory: 27035 grad_norm: 3.6519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3383 loss: 1.3383 2022/08/09 02:52:24 - mmengine - INFO - Epoch(train) [20][480/1879] lr: 2.0000e-02 eta: 16:46:52 time: 1.0296 data_time: 0.0234 memory: 27035 grad_norm: 3.6767 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3693 loss: 1.3693 2022/08/09 02:52:45 - mmengine - INFO - Epoch(train) [20][500/1879] lr: 2.0000e-02 eta: 16:46:31 time: 1.0287 data_time: 0.0237 memory: 27035 grad_norm: 3.6797 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3838 loss: 1.3838 2022/08/09 02:53:05 - mmengine - INFO - Epoch(train) [20][520/1879] lr: 2.0000e-02 eta: 16:46:09 time: 1.0292 data_time: 0.0236 memory: 27035 grad_norm: 3.6469 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3975 loss: 1.3975 2022/08/09 02:53:26 - mmengine - INFO - Epoch(train) [20][540/1879] lr: 2.0000e-02 eta: 16:45:48 time: 1.0266 data_time: 0.0232 memory: 27035 grad_norm: 3.7543 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3962 loss: 1.3962 2022/08/09 02:53:46 - mmengine - INFO - Epoch(train) [20][560/1879] lr: 2.0000e-02 eta: 16:45:27 time: 1.0321 data_time: 0.0242 memory: 27035 grad_norm: 3.6511 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4713 loss: 1.4713 2022/08/09 02:54:07 - mmengine - INFO - Epoch(train) [20][580/1879] lr: 2.0000e-02 eta: 16:45:05 time: 1.0272 data_time: 0.0242 memory: 27035 grad_norm: 3.6617 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3692 loss: 1.3692 2022/08/09 02:54:27 - mmengine - INFO - Epoch(train) [20][600/1879] lr: 2.0000e-02 eta: 16:44:44 time: 1.0281 data_time: 0.0240 memory: 27035 grad_norm: 3.7644 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4040 loss: 1.4040 2022/08/09 02:54:48 - mmengine - INFO - Epoch(train) [20][620/1879] lr: 2.0000e-02 eta: 16:44:22 time: 1.0271 data_time: 0.0234 memory: 27035 grad_norm: 3.7854 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2826 loss: 1.2826 2022/08/09 02:55:09 - mmengine - INFO - Epoch(train) [20][640/1879] lr: 2.0000e-02 eta: 16:44:01 time: 1.0299 data_time: 0.0229 memory: 27035 grad_norm: 3.6901 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4876 loss: 1.4876 2022/08/09 02:55:29 - mmengine - INFO - Epoch(train) [20][660/1879] lr: 2.0000e-02 eta: 16:43:39 time: 1.0301 data_time: 0.0241 memory: 27035 grad_norm: 3.5964 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4427 loss: 1.4427 2022/08/09 02:55:50 - mmengine - INFO - Epoch(train) [20][680/1879] lr: 2.0000e-02 eta: 16:43:18 time: 1.0295 data_time: 0.0246 memory: 27035 grad_norm: 3.7110 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3795 loss: 1.3795 2022/08/09 02:56:10 - mmengine - INFO - Epoch(train) [20][700/1879] lr: 2.0000e-02 eta: 16:42:56 time: 1.0311 data_time: 0.0236 memory: 27035 grad_norm: 3.6422 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5237 loss: 1.5237 2022/08/09 02:56:31 - mmengine - INFO - Epoch(train) [20][720/1879] lr: 2.0000e-02 eta: 16:42:35 time: 1.0264 data_time: 0.0237 memory: 27035 grad_norm: 3.7082 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4086 loss: 1.4086 2022/08/09 02:56:52 - mmengine - INFO - Epoch(train) [20][740/1879] lr: 2.0000e-02 eta: 16:42:13 time: 1.0286 data_time: 0.0251 memory: 27035 grad_norm: 3.7989 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5583 loss: 1.5583 2022/08/09 02:57:12 - mmengine - INFO - Epoch(train) [20][760/1879] lr: 2.0000e-02 eta: 16:41:52 time: 1.0266 data_time: 0.0225 memory: 27035 grad_norm: 3.6416 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2879 loss: 1.2879 2022/08/09 02:57:33 - mmengine - INFO - Epoch(train) [20][780/1879] lr: 2.0000e-02 eta: 16:41:31 time: 1.0399 data_time: 0.0341 memory: 27035 grad_norm: 3.6982 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4994 loss: 1.4994 2022/08/09 02:57:54 - mmengine - INFO - Epoch(train) [20][800/1879] lr: 2.0000e-02 eta: 16:41:09 time: 1.0297 data_time: 0.0231 memory: 27035 grad_norm: 3.6833 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3229 loss: 1.3229 2022/08/09 02:58:14 - mmengine - INFO - Epoch(train) [20][820/1879] lr: 2.0000e-02 eta: 16:40:48 time: 1.0276 data_time: 0.0241 memory: 27035 grad_norm: 3.6685 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6436 loss: 1.6436 2022/08/09 02:58:35 - mmengine - INFO - Epoch(train) [20][840/1879] lr: 2.0000e-02 eta: 16:40:27 time: 1.0310 data_time: 0.0233 memory: 27035 grad_norm: 3.7177 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6789 loss: 1.6789 2022/08/09 02:58:55 - mmengine - INFO - Epoch(train) [20][860/1879] lr: 2.0000e-02 eta: 16:40:05 time: 1.0282 data_time: 0.0239 memory: 27035 grad_norm: 3.5948 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4850 loss: 1.4850 2022/08/09 02:59:16 - mmengine - INFO - Epoch(train) [20][880/1879] lr: 2.0000e-02 eta: 16:39:44 time: 1.0281 data_time: 0.0229 memory: 27035 grad_norm: 3.6570 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5369 loss: 1.5369 2022/08/09 02:59:36 - mmengine - INFO - Epoch(train) [20][900/1879] lr: 2.0000e-02 eta: 16:39:22 time: 1.0251 data_time: 0.0224 memory: 27035 grad_norm: 3.6672 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5643 loss: 1.5643 2022/08/09 02:59:57 - mmengine - INFO - Epoch(train) [20][920/1879] lr: 2.0000e-02 eta: 16:39:01 time: 1.0317 data_time: 0.0220 memory: 27035 grad_norm: 3.7668 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5023 loss: 1.5023 2022/08/09 03:00:18 - mmengine - INFO - Epoch(train) [20][940/1879] lr: 2.0000e-02 eta: 16:38:40 time: 1.0352 data_time: 0.0268 memory: 27035 grad_norm: 3.7410 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5240 loss: 1.5240 2022/08/09 03:00:38 - mmengine - INFO - Epoch(train) [20][960/1879] lr: 2.0000e-02 eta: 16:38:18 time: 1.0300 data_time: 0.0230 memory: 27035 grad_norm: 3.6297 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6489 loss: 1.6489 2022/08/09 03:00:59 - mmengine - INFO - Epoch(train) [20][980/1879] lr: 2.0000e-02 eta: 16:37:57 time: 1.0287 data_time: 0.0233 memory: 27035 grad_norm: 3.6999 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5167 loss: 1.5167 2022/08/09 03:01:20 - mmengine - INFO - Epoch(train) [20][1000/1879] lr: 2.0000e-02 eta: 16:37:36 time: 1.0355 data_time: 0.0237 memory: 27035 grad_norm: 3.6683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4613 loss: 1.4613 2022/08/09 03:01:40 - mmengine - INFO - Epoch(train) [20][1020/1879] lr: 2.0000e-02 eta: 16:37:14 time: 1.0303 data_time: 0.0238 memory: 27035 grad_norm: 3.8016 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3475 loss: 1.3475 2022/08/09 03:02:01 - mmengine - INFO - Epoch(train) [20][1040/1879] lr: 2.0000e-02 eta: 16:36:53 time: 1.0262 data_time: 0.0225 memory: 27035 grad_norm: 3.7814 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5480 loss: 1.5480 2022/08/09 03:02:21 - mmengine - INFO - Epoch(train) [20][1060/1879] lr: 2.0000e-02 eta: 16:36:31 time: 1.0339 data_time: 0.0234 memory: 27035 grad_norm: 3.6940 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5464 loss: 1.5464 2022/08/09 03:02:42 - mmengine - INFO - Epoch(train) [20][1080/1879] lr: 2.0000e-02 eta: 16:36:10 time: 1.0314 data_time: 0.0246 memory: 27035 grad_norm: 3.6652 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5991 loss: 1.5991 2022/08/09 03:03:03 - mmengine - INFO - Epoch(train) [20][1100/1879] lr: 2.0000e-02 eta: 16:35:49 time: 1.0309 data_time: 0.0251 memory: 27035 grad_norm: 3.6737 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3882 loss: 1.3882 2022/08/09 03:03:23 - mmengine - INFO - Epoch(train) [20][1120/1879] lr: 2.0000e-02 eta: 16:35:27 time: 1.0316 data_time: 0.0249 memory: 27035 grad_norm: 3.7833 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5660 loss: 1.5660 2022/08/09 03:03:44 - mmengine - INFO - Epoch(train) [20][1140/1879] lr: 2.0000e-02 eta: 16:35:06 time: 1.0345 data_time: 0.0245 memory: 27035 grad_norm: 3.6429 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2875 loss: 1.2875 2022/08/09 03:04:05 - mmengine - INFO - Epoch(train) [20][1160/1879] lr: 2.0000e-02 eta: 16:34:45 time: 1.0275 data_time: 0.0240 memory: 27035 grad_norm: 3.7266 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4599 loss: 1.4599 2022/08/09 03:04:25 - mmengine - INFO - Epoch(train) [20][1180/1879] lr: 2.0000e-02 eta: 16:34:23 time: 1.0315 data_time: 0.0232 memory: 27035 grad_norm: 3.5909 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4223 loss: 1.4223 2022/08/09 03:04:46 - mmengine - INFO - Epoch(train) [20][1200/1879] lr: 2.0000e-02 eta: 16:34:02 time: 1.0288 data_time: 0.0249 memory: 27035 grad_norm: 3.7363 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3670 loss: 1.3670 2022/08/09 03:05:06 - mmengine - INFO - Epoch(train) [20][1220/1879] lr: 2.0000e-02 eta: 16:33:41 time: 1.0343 data_time: 0.0235 memory: 27035 grad_norm: 3.7686 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4736 loss: 1.4736 2022/08/09 03:05:28 - mmengine - INFO - Epoch(train) [20][1240/1879] lr: 2.0000e-02 eta: 16:33:21 time: 1.0944 data_time: 0.0819 memory: 27035 grad_norm: 3.6891 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4202 loss: 1.4202 2022/08/09 03:05:49 - mmengine - INFO - Epoch(train) [20][1260/1879] lr: 2.0000e-02 eta: 16:33:00 time: 1.0277 data_time: 0.0236 memory: 27035 grad_norm: 3.6688 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5004 loss: 1.5004 2022/08/09 03:06:09 - mmengine - INFO - Epoch(train) [20][1280/1879] lr: 2.0000e-02 eta: 16:32:38 time: 1.0281 data_time: 0.0224 memory: 27035 grad_norm: 3.6742 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3076 loss: 1.3076 2022/08/09 03:06:29 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 03:06:30 - mmengine - INFO - Epoch(train) [20][1300/1879] lr: 2.0000e-02 eta: 16:32:17 time: 1.0280 data_time: 0.0239 memory: 27035 grad_norm: 3.7190 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5334 loss: 1.5334 2022/08/09 03:06:51 - mmengine - INFO - Epoch(train) [20][1320/1879] lr: 2.0000e-02 eta: 16:31:55 time: 1.0317 data_time: 0.0247 memory: 27035 grad_norm: 3.7403 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6329 loss: 1.6329 2022/08/09 03:07:11 - mmengine - INFO - Epoch(train) [20][1340/1879] lr: 2.0000e-02 eta: 16:31:34 time: 1.0269 data_time: 0.0236 memory: 27035 grad_norm: 3.7547 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3869 loss: 1.3869 2022/08/09 03:07:32 - mmengine - INFO - Epoch(train) [20][1360/1879] lr: 2.0000e-02 eta: 16:31:13 time: 1.0410 data_time: 0.0227 memory: 27035 grad_norm: 3.6359 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4883 loss: 1.4883 2022/08/09 03:07:53 - mmengine - INFO - Epoch(train) [20][1380/1879] lr: 2.0000e-02 eta: 16:30:52 time: 1.0285 data_time: 0.0233 memory: 27035 grad_norm: 3.7962 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2889 loss: 1.2889 2022/08/09 03:08:13 - mmengine - INFO - Epoch(train) [20][1400/1879] lr: 2.0000e-02 eta: 16:30:30 time: 1.0277 data_time: 0.0237 memory: 27035 grad_norm: 3.7141 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4282 loss: 1.4282 2022/08/09 03:08:34 - mmengine - INFO - Epoch(train) [20][1420/1879] lr: 2.0000e-02 eta: 16:30:09 time: 1.0272 data_time: 0.0233 memory: 27035 grad_norm: 3.7494 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4224 loss: 1.4224 2022/08/09 03:08:54 - mmengine - INFO - Epoch(train) [20][1440/1879] lr: 2.0000e-02 eta: 16:29:47 time: 1.0267 data_time: 0.0234 memory: 27035 grad_norm: 3.7668 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4443 loss: 1.4443 2022/08/09 03:09:15 - mmengine - INFO - Epoch(train) [20][1460/1879] lr: 2.0000e-02 eta: 16:29:26 time: 1.0315 data_time: 0.0236 memory: 27035 grad_norm: 3.6523 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4618 loss: 1.4618 2022/08/09 03:09:35 - mmengine - INFO - Epoch(train) [20][1480/1879] lr: 2.0000e-02 eta: 16:29:04 time: 1.0283 data_time: 0.0236 memory: 27035 grad_norm: 3.6588 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4754 loss: 1.4754 2022/08/09 03:09:56 - mmengine - INFO - Epoch(train) [20][1500/1879] lr: 2.0000e-02 eta: 16:28:43 time: 1.0344 data_time: 0.0243 memory: 27035 grad_norm: 3.7400 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5781 loss: 1.5781 2022/08/09 03:10:17 - mmengine - INFO - Epoch(train) [20][1520/1879] lr: 2.0000e-02 eta: 16:28:22 time: 1.0439 data_time: 0.0275 memory: 27035 grad_norm: 3.6489 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6227 loss: 1.6227 2022/08/09 03:10:38 - mmengine - INFO - Epoch(train) [20][1540/1879] lr: 2.0000e-02 eta: 16:28:01 time: 1.0335 data_time: 0.0242 memory: 27035 grad_norm: 3.5719 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4286 loss: 1.4286 2022/08/09 03:10:58 - mmengine - INFO - Epoch(train) [20][1560/1879] lr: 2.0000e-02 eta: 16:27:39 time: 1.0278 data_time: 0.0240 memory: 27035 grad_norm: 3.7677 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4871 loss: 1.4871 2022/08/09 03:11:19 - mmengine - INFO - Epoch(train) [20][1580/1879] lr: 2.0000e-02 eta: 16:27:18 time: 1.0301 data_time: 0.0241 memory: 27035 grad_norm: 3.6354 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4075 loss: 1.4075 2022/08/09 03:11:39 - mmengine - INFO - Epoch(train) [20][1600/1879] lr: 2.0000e-02 eta: 16:26:57 time: 1.0273 data_time: 0.0233 memory: 27035 grad_norm: 3.5700 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7572 loss: 1.7572 2022/08/09 03:12:00 - mmengine - INFO - Epoch(train) [20][1620/1879] lr: 2.0000e-02 eta: 16:26:35 time: 1.0277 data_time: 0.0225 memory: 27035 grad_norm: 3.6866 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4631 loss: 1.4631 2022/08/09 03:12:21 - mmengine - INFO - Epoch(train) [20][1640/1879] lr: 2.0000e-02 eta: 16:26:14 time: 1.0277 data_time: 0.0239 memory: 27035 grad_norm: 3.6966 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5044 loss: 1.5044 2022/08/09 03:12:41 - mmengine - INFO - Epoch(train) [20][1660/1879] lr: 2.0000e-02 eta: 16:25:53 time: 1.0371 data_time: 0.0234 memory: 27035 grad_norm: 3.7493 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3807 loss: 1.3807 2022/08/09 03:13:02 - mmengine - INFO - Epoch(train) [20][1680/1879] lr: 2.0000e-02 eta: 16:25:31 time: 1.0263 data_time: 0.0227 memory: 27035 grad_norm: 3.6836 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4305 loss: 1.4305 2022/08/09 03:13:22 - mmengine - INFO - Epoch(train) [20][1700/1879] lr: 2.0000e-02 eta: 16:25:10 time: 1.0276 data_time: 0.0236 memory: 27035 grad_norm: 3.7129 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4469 loss: 1.4469 2022/08/09 03:13:43 - mmengine - INFO - Epoch(train) [20][1720/1879] lr: 2.0000e-02 eta: 16:24:48 time: 1.0267 data_time: 0.0232 memory: 27035 grad_norm: 3.6054 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5159 loss: 1.5159 2022/08/09 03:14:04 - mmengine - INFO - Epoch(train) [20][1740/1879] lr: 2.0000e-02 eta: 16:24:27 time: 1.0302 data_time: 0.0241 memory: 27035 grad_norm: 3.6099 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2881 loss: 1.2881 2022/08/09 03:14:24 - mmengine - INFO - Epoch(train) [20][1760/1879] lr: 2.0000e-02 eta: 16:24:06 time: 1.0362 data_time: 0.0294 memory: 27035 grad_norm: 3.6419 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5718 loss: 1.5718 2022/08/09 03:14:45 - mmengine - INFO - Epoch(train) [20][1780/1879] lr: 2.0000e-02 eta: 16:23:44 time: 1.0278 data_time: 0.0248 memory: 27035 grad_norm: 3.7308 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3272 loss: 1.3272 2022/08/09 03:15:06 - mmengine - INFO - Epoch(train) [20][1800/1879] lr: 2.0000e-02 eta: 16:23:23 time: 1.0380 data_time: 0.0240 memory: 27035 grad_norm: 3.6843 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3446 loss: 1.3446 2022/08/09 03:15:27 - mmengine - INFO - Epoch(train) [20][1820/1879] lr: 2.0000e-02 eta: 16:23:03 time: 1.0793 data_time: 0.0731 memory: 27035 grad_norm: 3.5723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4767 loss: 1.4767 2022/08/09 03:15:48 - mmengine - INFO - Epoch(train) [20][1840/1879] lr: 2.0000e-02 eta: 16:22:42 time: 1.0288 data_time: 0.0241 memory: 27035 grad_norm: 3.7438 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6264 loss: 1.6264 2022/08/09 03:16:08 - mmengine - INFO - Epoch(train) [20][1860/1879] lr: 2.0000e-02 eta: 16:22:20 time: 1.0312 data_time: 0.0240 memory: 27035 grad_norm: 3.7566 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6069 loss: 1.6069 2022/08/09 03:16:28 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 03:16:28 - mmengine - INFO - Epoch(train) [20][1879/1879] lr: 2.0000e-02 eta: 16:22:20 time: 1.0122 data_time: 0.0275 memory: 27035 grad_norm: 3.8215 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.4374 loss: 1.4374 2022/08/09 03:16:45 - mmengine - INFO - Epoch(val) [20][20/155] eta: 0:01:54 time: 0.8481 data_time: 0.5752 memory: 3270 2022/08/09 03:16:56 - mmengine - INFO - Epoch(val) [20][40/155] eta: 0:01:06 time: 0.5749 data_time: 0.3049 memory: 3270 2022/08/09 03:17:09 - mmengine - INFO - Epoch(val) [20][60/155] eta: 0:01:01 time: 0.6511 data_time: 0.3807 memory: 3270 2022/08/09 03:17:23 - mmengine - INFO - Epoch(val) [20][80/155] eta: 0:00:50 time: 0.6736 data_time: 0.4035 memory: 3270 2022/08/09 03:17:37 - mmengine - INFO - Epoch(val) [20][100/155] eta: 0:00:40 time: 0.7331 data_time: 0.4630 memory: 3270 2022/08/09 03:17:52 - mmengine - INFO - Epoch(val) [20][120/155] eta: 0:00:26 time: 0.7563 data_time: 0.4890 memory: 3270 2022/08/09 03:18:03 - mmengine - INFO - Epoch(val) [20][140/155] eta: 0:00:07 time: 0.5117 data_time: 0.2497 memory: 3270 2022/08/09 03:18:17 - mmengine - INFO - Epoch(val) [20][155/155] acc/top1: 0.6221 acc/top5: 0.8411 acc/mean1: 0.6220 2022/08/09 03:18:44 - mmengine - INFO - Epoch(train) [21][20/1879] lr: 2.0000e-02 eta: 16:21:19 time: 1.3485 data_time: 0.2471 memory: 27035 grad_norm: 3.5904 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2496 loss: 1.2496 2022/08/09 03:19:04 - mmengine - INFO - Epoch(train) [21][40/1879] lr: 2.0000e-02 eta: 16:20:58 time: 1.0241 data_time: 0.0227 memory: 27035 grad_norm: 3.6537 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3588 loss: 1.3588 2022/08/09 03:19:25 - mmengine - INFO - Epoch(train) [21][60/1879] lr: 2.0000e-02 eta: 16:20:36 time: 1.0258 data_time: 0.0246 memory: 27035 grad_norm: 3.5190 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3060 loss: 1.3060 2022/08/09 03:19:45 - mmengine - INFO - Epoch(train) [21][80/1879] lr: 2.0000e-02 eta: 16:20:15 time: 1.0277 data_time: 0.0236 memory: 27035 grad_norm: 3.7132 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4693 loss: 1.4693 2022/08/09 03:20:06 - mmengine - INFO - Epoch(train) [21][100/1879] lr: 2.0000e-02 eta: 16:19:53 time: 1.0331 data_time: 0.0236 memory: 27035 grad_norm: 3.6443 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3968 loss: 1.3968 2022/08/09 03:20:28 - mmengine - INFO - Epoch(train) [21][120/1879] lr: 2.0000e-02 eta: 16:19:35 time: 1.1134 data_time: 0.1009 memory: 27035 grad_norm: 3.5562 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2887 loss: 1.2887 2022/08/09 03:20:49 - mmengine - INFO - Epoch(train) [21][140/1879] lr: 2.0000e-02 eta: 16:19:13 time: 1.0323 data_time: 0.0232 memory: 27035 grad_norm: 3.7239 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3831 loss: 1.3831 2022/08/09 03:21:09 - mmengine - INFO - Epoch(train) [21][160/1879] lr: 2.0000e-02 eta: 16:18:52 time: 1.0271 data_time: 0.0238 memory: 27035 grad_norm: 3.6285 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3654 loss: 1.3654 2022/08/09 03:21:30 - mmengine - INFO - Epoch(train) [21][180/1879] lr: 2.0000e-02 eta: 16:18:31 time: 1.0335 data_time: 0.0232 memory: 27035 grad_norm: 3.5791 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5823 loss: 1.5823 2022/08/09 03:21:51 - mmengine - INFO - Epoch(train) [21][200/1879] lr: 2.0000e-02 eta: 16:18:09 time: 1.0250 data_time: 0.0235 memory: 27035 grad_norm: 3.7200 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.1502 loss: 1.1502 2022/08/09 03:22:11 - mmengine - INFO - Epoch(train) [21][220/1879] lr: 2.0000e-02 eta: 16:17:48 time: 1.0257 data_time: 0.0226 memory: 27035 grad_norm: 3.6334 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5380 loss: 1.5380 2022/08/09 03:22:32 - mmengine - INFO - Epoch(train) [21][240/1879] lr: 2.0000e-02 eta: 16:17:26 time: 1.0259 data_time: 0.0229 memory: 27035 grad_norm: 3.6983 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4478 loss: 1.4478 2022/08/09 03:22:52 - mmengine - INFO - Epoch(train) [21][260/1879] lr: 2.0000e-02 eta: 16:17:05 time: 1.0316 data_time: 0.0230 memory: 27035 grad_norm: 3.7780 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5820 loss: 1.5820 2022/08/09 03:23:13 - mmengine - INFO - Epoch(train) [21][280/1879] lr: 2.0000e-02 eta: 16:16:44 time: 1.0301 data_time: 0.0246 memory: 27035 grad_norm: 3.8014 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3170 loss: 1.3170 2022/08/09 03:23:33 - mmengine - INFO - Epoch(train) [21][300/1879] lr: 2.0000e-02 eta: 16:16:22 time: 1.0258 data_time: 0.0232 memory: 27035 grad_norm: 3.8155 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4552 loss: 1.4552 2022/08/09 03:23:54 - mmengine - INFO - Epoch(train) [21][320/1879] lr: 2.0000e-02 eta: 16:16:01 time: 1.0268 data_time: 0.0231 memory: 27035 grad_norm: 3.7921 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4719 loss: 1.4719 2022/08/09 03:24:15 - mmengine - INFO - Epoch(train) [21][340/1879] lr: 2.0000e-02 eta: 16:15:40 time: 1.0347 data_time: 0.0305 memory: 27035 grad_norm: 3.6784 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5433 loss: 1.5433 2022/08/09 03:24:35 - mmengine - INFO - Epoch(train) [21][360/1879] lr: 2.0000e-02 eta: 16:15:18 time: 1.0266 data_time: 0.0224 memory: 27035 grad_norm: 3.7093 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3762 loss: 1.3762 2022/08/09 03:24:56 - mmengine - INFO - Epoch(train) [21][380/1879] lr: 2.0000e-02 eta: 16:14:57 time: 1.0237 data_time: 0.0231 memory: 27035 grad_norm: 3.6003 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3397 loss: 1.3397 2022/08/09 03:25:16 - mmengine - INFO - Epoch(train) [21][400/1879] lr: 2.0000e-02 eta: 16:14:35 time: 1.0309 data_time: 0.0237 memory: 27035 grad_norm: 3.8665 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5103 loss: 1.5103 2022/08/09 03:25:37 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 03:25:37 - mmengine - INFO - Epoch(train) [21][420/1879] lr: 2.0000e-02 eta: 16:14:14 time: 1.0250 data_time: 0.0231 memory: 27035 grad_norm: 3.6728 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2918 loss: 1.2918 2022/08/09 03:25:57 - mmengine - INFO - Epoch(train) [21][440/1879] lr: 2.0000e-02 eta: 16:13:52 time: 1.0288 data_time: 0.0236 memory: 27035 grad_norm: 3.7019 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5079 loss: 1.5079 2022/08/09 03:26:18 - mmengine - INFO - Epoch(train) [21][460/1879] lr: 2.0000e-02 eta: 16:13:31 time: 1.0260 data_time: 0.0235 memory: 27035 grad_norm: 3.7071 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5441 loss: 1.5441 2022/08/09 03:26:39 - mmengine - INFO - Epoch(train) [21][480/1879] lr: 2.0000e-02 eta: 16:13:10 time: 1.0305 data_time: 0.0226 memory: 27035 grad_norm: 3.7024 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5272 loss: 1.5272 2022/08/09 03:26:59 - mmengine - INFO - Epoch(train) [21][500/1879] lr: 2.0000e-02 eta: 16:12:48 time: 1.0237 data_time: 0.0224 memory: 27035 grad_norm: 3.7650 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3554 loss: 1.3554 2022/08/09 03:27:20 - mmengine - INFO - Epoch(train) [21][520/1879] lr: 2.0000e-02 eta: 16:12:27 time: 1.0335 data_time: 0.0247 memory: 27035 grad_norm: 3.6232 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2696 loss: 1.2696 2022/08/09 03:27:40 - mmengine - INFO - Epoch(train) [21][540/1879] lr: 2.0000e-02 eta: 16:12:05 time: 1.0257 data_time: 0.0226 memory: 27035 grad_norm: 3.6183 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5503 loss: 1.5503 2022/08/09 03:28:01 - mmengine - INFO - Epoch(train) [21][560/1879] lr: 2.0000e-02 eta: 16:11:44 time: 1.0291 data_time: 0.0232 memory: 27035 grad_norm: 3.7205 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1985 loss: 1.1985 2022/08/09 03:28:21 - mmengine - INFO - Epoch(train) [21][580/1879] lr: 2.0000e-02 eta: 16:11:23 time: 1.0290 data_time: 0.0235 memory: 27035 grad_norm: 3.6985 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3083 loss: 1.3083 2022/08/09 03:28:42 - mmengine - INFO - Epoch(train) [21][600/1879] lr: 2.0000e-02 eta: 16:11:01 time: 1.0271 data_time: 0.0229 memory: 27035 grad_norm: 3.6979 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4920 loss: 1.4920 2022/08/09 03:29:02 - mmengine - INFO - Epoch(train) [21][620/1879] lr: 2.0000e-02 eta: 16:10:40 time: 1.0279 data_time: 0.0230 memory: 27035 grad_norm: 3.5978 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2912 loss: 1.2912 2022/08/09 03:29:23 - mmengine - INFO - Epoch(train) [21][640/1879] lr: 2.0000e-02 eta: 16:10:19 time: 1.0270 data_time: 0.0226 memory: 27035 grad_norm: 3.7733 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4399 loss: 1.4399 2022/08/09 03:29:44 - mmengine - INFO - Epoch(train) [21][660/1879] lr: 2.0000e-02 eta: 16:09:57 time: 1.0314 data_time: 0.0254 memory: 27035 grad_norm: 3.6800 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.4853 loss: 1.4853 2022/08/09 03:30:04 - mmengine - INFO - Epoch(train) [21][680/1879] lr: 2.0000e-02 eta: 16:09:36 time: 1.0294 data_time: 0.0241 memory: 27035 grad_norm: 3.7784 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3429 loss: 1.3429 2022/08/09 03:30:26 - mmengine - INFO - Epoch(train) [21][700/1879] lr: 2.0000e-02 eta: 16:09:16 time: 1.0784 data_time: 0.0675 memory: 27035 grad_norm: 3.6970 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3880 loss: 1.3880 2022/08/09 03:30:46 - mmengine - INFO - Epoch(train) [21][720/1879] lr: 2.0000e-02 eta: 16:08:55 time: 1.0272 data_time: 0.0241 memory: 27035 grad_norm: 3.8021 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4074 loss: 1.4074 2022/08/09 03:31:07 - mmengine - INFO - Epoch(train) [21][740/1879] lr: 2.0000e-02 eta: 16:08:33 time: 1.0308 data_time: 0.0247 memory: 27035 grad_norm: 3.7692 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4249 loss: 1.4249 2022/08/09 03:31:28 - mmengine - INFO - Epoch(train) [21][760/1879] lr: 2.0000e-02 eta: 16:08:12 time: 1.0314 data_time: 0.0244 memory: 27035 grad_norm: 3.6235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4910 loss: 1.4910 2022/08/09 03:31:48 - mmengine - INFO - Epoch(train) [21][780/1879] lr: 2.0000e-02 eta: 16:07:51 time: 1.0278 data_time: 0.0224 memory: 27035 grad_norm: 3.7370 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2889 loss: 1.2889 2022/08/09 03:32:09 - mmengine - INFO - Epoch(train) [21][800/1879] lr: 2.0000e-02 eta: 16:07:29 time: 1.0284 data_time: 0.0237 memory: 27035 grad_norm: 3.7604 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4337 loss: 1.4337 2022/08/09 03:32:29 - mmengine - INFO - Epoch(train) [21][820/1879] lr: 2.0000e-02 eta: 16:07:08 time: 1.0289 data_time: 0.0240 memory: 27035 grad_norm: 3.7192 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4676 loss: 1.4676 2022/08/09 03:32:50 - mmengine - INFO - Epoch(train) [21][840/1879] lr: 2.0000e-02 eta: 16:06:47 time: 1.0294 data_time: 0.0242 memory: 27035 grad_norm: 3.7973 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4196 loss: 1.4196 2022/08/09 03:33:11 - mmengine - INFO - Epoch(train) [21][860/1879] lr: 2.0000e-02 eta: 16:06:25 time: 1.0287 data_time: 0.0234 memory: 27035 grad_norm: 3.8218 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5555 loss: 1.5555 2022/08/09 03:33:31 - mmengine - INFO - Epoch(train) [21][880/1879] lr: 2.0000e-02 eta: 16:06:04 time: 1.0344 data_time: 0.0233 memory: 27035 grad_norm: 3.6501 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4478 loss: 1.4478 2022/08/09 03:33:52 - mmengine - INFO - Epoch(train) [21][900/1879] lr: 2.0000e-02 eta: 16:05:43 time: 1.0278 data_time: 0.0239 memory: 27035 grad_norm: 3.5864 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2729 loss: 1.2729 2022/08/09 03:34:12 - mmengine - INFO - Epoch(train) [21][920/1879] lr: 2.0000e-02 eta: 16:05:21 time: 1.0294 data_time: 0.0225 memory: 27035 grad_norm: 3.7550 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3934 loss: 1.3934 2022/08/09 03:34:33 - mmengine - INFO - Epoch(train) [21][940/1879] lr: 2.0000e-02 eta: 16:05:00 time: 1.0284 data_time: 0.0247 memory: 27035 grad_norm: 3.8170 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4539 loss: 1.4539 2022/08/09 03:34:54 - mmengine - INFO - Epoch(train) [21][960/1879] lr: 2.0000e-02 eta: 16:04:39 time: 1.0334 data_time: 0.0294 memory: 27035 grad_norm: 3.6959 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5242 loss: 1.5242 2022/08/09 03:35:14 - mmengine - INFO - Epoch(train) [21][980/1879] lr: 2.0000e-02 eta: 16:04:17 time: 1.0278 data_time: 0.0232 memory: 27035 grad_norm: 3.7653 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4758 loss: 1.4758 2022/08/09 03:35:35 - mmengine - INFO - Epoch(train) [21][1000/1879] lr: 2.0000e-02 eta: 16:03:56 time: 1.0284 data_time: 0.0241 memory: 27035 grad_norm: 3.7753 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3775 loss: 1.3775 2022/08/09 03:35:55 - mmengine - INFO - Epoch(train) [21][1020/1879] lr: 2.0000e-02 eta: 16:03:35 time: 1.0325 data_time: 0.0250 memory: 27035 grad_norm: 3.7127 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4739 loss: 1.4739 2022/08/09 03:36:16 - mmengine - INFO - Epoch(train) [21][1040/1879] lr: 2.0000e-02 eta: 16:03:14 time: 1.0285 data_time: 0.0225 memory: 27035 grad_norm: 3.5886 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3887 loss: 1.3887 2022/08/09 03:36:37 - mmengine - INFO - Epoch(train) [21][1060/1879] lr: 2.0000e-02 eta: 16:02:52 time: 1.0286 data_time: 0.0231 memory: 27035 grad_norm: 3.6646 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3771 loss: 1.3771 2022/08/09 03:36:57 - mmengine - INFO - Epoch(train) [21][1080/1879] lr: 2.0000e-02 eta: 16:02:31 time: 1.0322 data_time: 0.0232 memory: 27035 grad_norm: 3.7288 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4716 loss: 1.4716 2022/08/09 03:37:19 - mmengine - INFO - Epoch(train) [21][1100/1879] lr: 2.0000e-02 eta: 16:02:11 time: 1.0718 data_time: 0.0665 memory: 27035 grad_norm: 3.8327 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4138 loss: 1.4138 2022/08/09 03:37:39 - mmengine - INFO - Epoch(train) [21][1120/1879] lr: 2.0000e-02 eta: 16:01:49 time: 1.0298 data_time: 0.0235 memory: 27035 grad_norm: 3.7662 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4157 loss: 1.4157 2022/08/09 03:38:00 - mmengine - INFO - Epoch(train) [21][1140/1879] lr: 2.0000e-02 eta: 16:01:28 time: 1.0277 data_time: 0.0240 memory: 27035 grad_norm: 3.6297 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4252 loss: 1.4252 2022/08/09 03:38:20 - mmengine - INFO - Epoch(train) [21][1160/1879] lr: 2.0000e-02 eta: 16:01:07 time: 1.0313 data_time: 0.0242 memory: 27035 grad_norm: 3.5995 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3514 loss: 1.3514 2022/08/09 03:38:41 - mmengine - INFO - Epoch(train) [21][1180/1879] lr: 2.0000e-02 eta: 16:00:45 time: 1.0264 data_time: 0.0240 memory: 27035 grad_norm: 3.7056 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4512 loss: 1.4512 2022/08/09 03:39:02 - mmengine - INFO - Epoch(train) [21][1200/1879] lr: 2.0000e-02 eta: 16:00:24 time: 1.0276 data_time: 0.0225 memory: 27035 grad_norm: 3.6773 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3453 loss: 1.3453 2022/08/09 03:39:22 - mmengine - INFO - Epoch(train) [21][1220/1879] lr: 2.0000e-02 eta: 16:00:03 time: 1.0271 data_time: 0.0223 memory: 27035 grad_norm: 3.7716 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4188 loss: 1.4188 2022/08/09 03:39:43 - mmengine - INFO - Epoch(train) [21][1240/1879] lr: 2.0000e-02 eta: 15:59:41 time: 1.0303 data_time: 0.0239 memory: 27035 grad_norm: 3.7095 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4440 loss: 1.4440 2022/08/09 03:40:03 - mmengine - INFO - Epoch(train) [21][1260/1879] lr: 2.0000e-02 eta: 15:59:20 time: 1.0271 data_time: 0.0240 memory: 27035 grad_norm: 3.6132 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4563 loss: 1.4563 2022/08/09 03:40:24 - mmengine - INFO - Epoch(train) [21][1280/1879] lr: 2.0000e-02 eta: 15:58:59 time: 1.0474 data_time: 0.0411 memory: 27035 grad_norm: 3.7719 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3907 loss: 1.3907 2022/08/09 03:40:45 - mmengine - INFO - Epoch(train) [21][1300/1879] lr: 2.0000e-02 eta: 15:58:38 time: 1.0280 data_time: 0.0237 memory: 27035 grad_norm: 3.7285 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4992 loss: 1.4992 2022/08/09 03:41:05 - mmengine - INFO - Epoch(train) [21][1320/1879] lr: 2.0000e-02 eta: 15:58:17 time: 1.0286 data_time: 0.0240 memory: 27035 grad_norm: 3.6405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3877 loss: 1.3877 2022/08/09 03:41:26 - mmengine - INFO - Epoch(train) [21][1340/1879] lr: 2.0000e-02 eta: 15:57:55 time: 1.0343 data_time: 0.0291 memory: 27035 grad_norm: 3.6490 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3651 loss: 1.3651 2022/08/09 03:41:47 - mmengine - INFO - Epoch(train) [21][1360/1879] lr: 2.0000e-02 eta: 15:57:34 time: 1.0269 data_time: 0.0235 memory: 27035 grad_norm: 3.7346 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6062 loss: 1.6062 2022/08/09 03:42:07 - mmengine - INFO - Epoch(train) [21][1380/1879] lr: 2.0000e-02 eta: 15:57:13 time: 1.0294 data_time: 0.0240 memory: 27035 grad_norm: 3.7065 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3806 loss: 1.3806 2022/08/09 03:42:28 - mmengine - INFO - Epoch(train) [21][1400/1879] lr: 2.0000e-02 eta: 15:56:51 time: 1.0319 data_time: 0.0247 memory: 27035 grad_norm: 3.6260 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5655 loss: 1.5655 2022/08/09 03:42:48 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 03:42:48 - mmengine - INFO - Epoch(train) [21][1420/1879] lr: 2.0000e-02 eta: 15:56:30 time: 1.0321 data_time: 0.0246 memory: 27035 grad_norm: 3.6783 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4121 loss: 1.4121 2022/08/09 03:43:09 - mmengine - INFO - Epoch(train) [21][1440/1879] lr: 2.0000e-02 eta: 15:56:09 time: 1.0322 data_time: 0.0250 memory: 27035 grad_norm: 3.6552 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3644 loss: 1.3644 2022/08/09 03:43:30 - mmengine - INFO - Epoch(train) [21][1460/1879] lr: 2.0000e-02 eta: 15:55:48 time: 1.0365 data_time: 0.0294 memory: 27035 grad_norm: 3.7660 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4578 loss: 1.4578 2022/08/09 03:43:51 - mmengine - INFO - Epoch(train) [21][1480/1879] lr: 2.0000e-02 eta: 15:55:27 time: 1.0354 data_time: 0.0310 memory: 27035 grad_norm: 3.7548 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6067 loss: 1.6067 2022/08/09 03:44:11 - mmengine - INFO - Epoch(train) [21][1500/1879] lr: 2.0000e-02 eta: 15:55:05 time: 1.0333 data_time: 0.0239 memory: 27035 grad_norm: 3.7245 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4410 loss: 1.4410 2022/08/09 03:44:32 - mmengine - INFO - Epoch(train) [21][1520/1879] lr: 2.0000e-02 eta: 15:54:44 time: 1.0278 data_time: 0.0245 memory: 27035 grad_norm: 3.7378 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6931 loss: 1.6931 2022/08/09 03:44:52 - mmengine - INFO - Epoch(train) [21][1540/1879] lr: 2.0000e-02 eta: 15:54:23 time: 1.0282 data_time: 0.0235 memory: 27035 grad_norm: 3.6693 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4488 loss: 1.4488 2022/08/09 03:45:13 - mmengine - INFO - Epoch(train) [21][1560/1879] lr: 2.0000e-02 eta: 15:54:02 time: 1.0394 data_time: 0.0312 memory: 27035 grad_norm: 3.7242 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6386 loss: 1.6386 2022/08/09 03:45:34 - mmengine - INFO - Epoch(train) [21][1580/1879] lr: 2.0000e-02 eta: 15:53:40 time: 1.0285 data_time: 0.0233 memory: 27035 grad_norm: 3.8453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5070 loss: 1.5070 2022/08/09 03:45:54 - mmengine - INFO - Epoch(train) [21][1600/1879] lr: 2.0000e-02 eta: 15:53:19 time: 1.0323 data_time: 0.0244 memory: 27035 grad_norm: 3.7433 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5423 loss: 1.5423 2022/08/09 03:46:15 - mmengine - INFO - Epoch(train) [21][1620/1879] lr: 2.0000e-02 eta: 15:52:58 time: 1.0281 data_time: 0.0236 memory: 27035 grad_norm: 3.6354 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2787 loss: 1.2787 2022/08/09 03:46:36 - mmengine - INFO - Epoch(train) [21][1640/1879] lr: 2.0000e-02 eta: 15:52:37 time: 1.0283 data_time: 0.0252 memory: 27035 grad_norm: 3.7769 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4791 loss: 1.4791 2022/08/09 03:46:56 - mmengine - INFO - Epoch(train) [21][1660/1879] lr: 2.0000e-02 eta: 15:52:15 time: 1.0266 data_time: 0.0235 memory: 27035 grad_norm: 3.6275 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4054 loss: 1.4054 2022/08/09 03:47:17 - mmengine - INFO - Epoch(train) [21][1680/1879] lr: 2.0000e-02 eta: 15:51:55 time: 1.0567 data_time: 0.0244 memory: 27035 grad_norm: 3.7005 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4249 loss: 1.4249 2022/08/09 03:47:38 - mmengine - INFO - Epoch(train) [21][1700/1879] lr: 2.0000e-02 eta: 15:51:33 time: 1.0290 data_time: 0.0243 memory: 27035 grad_norm: 3.7719 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7205 loss: 1.7205 2022/08/09 03:47:58 - mmengine - INFO - Epoch(train) [21][1720/1879] lr: 2.0000e-02 eta: 15:51:12 time: 1.0292 data_time: 0.0246 memory: 27035 grad_norm: 3.7605 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5864 loss: 1.5864 2022/08/09 03:48:19 - mmengine - INFO - Epoch(train) [21][1740/1879] lr: 2.0000e-02 eta: 15:50:51 time: 1.0289 data_time: 0.0239 memory: 27035 grad_norm: 3.7969 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4445 loss: 1.4445 2022/08/09 03:48:40 - mmengine - INFO - Epoch(train) [21][1760/1879] lr: 2.0000e-02 eta: 15:50:29 time: 1.0292 data_time: 0.0236 memory: 27035 grad_norm: 3.7382 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3064 loss: 1.3064 2022/08/09 03:49:00 - mmengine - INFO - Epoch(train) [21][1780/1879] lr: 2.0000e-02 eta: 15:50:08 time: 1.0266 data_time: 0.0234 memory: 27035 grad_norm: 3.7266 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5408 loss: 1.5408 2022/08/09 03:49:21 - mmengine - INFO - Epoch(train) [21][1800/1879] lr: 2.0000e-02 eta: 15:49:47 time: 1.0309 data_time: 0.0241 memory: 27035 grad_norm: 3.6818 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5974 loss: 1.5974 2022/08/09 03:49:41 - mmengine - INFO - Epoch(train) [21][1820/1879] lr: 2.0000e-02 eta: 15:49:25 time: 1.0268 data_time: 0.0242 memory: 27035 grad_norm: 3.6863 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5080 loss: 1.5080 2022/08/09 03:50:02 - mmengine - INFO - Epoch(train) [21][1840/1879] lr: 2.0000e-02 eta: 15:49:04 time: 1.0295 data_time: 0.0235 memory: 27035 grad_norm: 3.8219 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3314 loss: 1.3314 2022/08/09 03:50:23 - mmengine - INFO - Epoch(train) [21][1860/1879] lr: 2.0000e-02 eta: 15:48:43 time: 1.0415 data_time: 0.0321 memory: 27035 grad_norm: 3.6594 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2833 loss: 1.2833 2022/08/09 03:50:42 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 03:50:42 - mmengine - INFO - Epoch(train) [21][1879/1879] lr: 2.0000e-02 eta: 15:48:43 time: 0.9980 data_time: 0.0223 memory: 27035 grad_norm: 3.6418 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.3934 loss: 1.3934 2022/08/09 03:50:42 - mmengine - INFO - Saving checkpoint at 21 epochs 2022/08/09 03:50:58 - mmengine - INFO - Epoch(val) [21][20/155] eta: 0:01:42 time: 0.7599 data_time: 0.4874 memory: 3270 2022/08/09 03:51:09 - mmengine - INFO - Epoch(val) [21][40/155] eta: 0:01:01 time: 0.5326 data_time: 0.2626 memory: 3270 2022/08/09 03:51:22 - mmengine - INFO - Epoch(val) [21][60/155] eta: 0:01:01 time: 0.6450 data_time: 0.3738 memory: 3270 2022/08/09 03:51:36 - mmengine - INFO - Epoch(val) [21][80/155] eta: 0:00:52 time: 0.6968 data_time: 0.4271 memory: 3270 2022/08/09 03:51:48 - mmengine - INFO - Epoch(val) [21][100/155] eta: 0:00:32 time: 0.5951 data_time: 0.3249 memory: 3270 2022/08/09 03:52:01 - mmengine - INFO - Epoch(val) [21][120/155] eta: 0:00:23 time: 0.6653 data_time: 0.3940 memory: 3270 2022/08/09 03:52:11 - mmengine - INFO - Epoch(val) [21][140/155] eta: 0:00:07 time: 0.5221 data_time: 0.2531 memory: 3270 2022/08/09 03:52:22 - mmengine - INFO - Epoch(val) [21][155/155] acc/top1: 0.6407 acc/top5: 0.8569 acc/mean1: 0.6405 2022/08/09 03:52:22 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_20.pth is removed 2022/08/09 03:52:24 - mmengine - INFO - The best checkpoint with 0.6407 acc/top1 at 22 epoch is saved to best_acc/top1_epoch_22.pth. 2022/08/09 03:52:49 - mmengine - INFO - Epoch(train) [22][20/1879] lr: 2.0000e-02 eta: 15:47:42 time: 1.2877 data_time: 0.2727 memory: 27035 grad_norm: 3.5915 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3116 loss: 1.3116 2022/08/09 03:53:10 - mmengine - INFO - Epoch(train) [22][40/1879] lr: 2.0000e-02 eta: 15:47:21 time: 1.0384 data_time: 0.0340 memory: 27035 grad_norm: 3.6092 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2348 loss: 1.2348 2022/08/09 03:53:31 - mmengine - INFO - Epoch(train) [22][60/1879] lr: 2.0000e-02 eta: 15:46:59 time: 1.0259 data_time: 0.0245 memory: 27035 grad_norm: 3.5894 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2116 loss: 1.2116 2022/08/09 03:53:51 - mmengine - INFO - Epoch(train) [22][80/1879] lr: 2.0000e-02 eta: 15:46:38 time: 1.0302 data_time: 0.0237 memory: 27035 grad_norm: 3.7010 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3956 loss: 1.3956 2022/08/09 03:54:12 - mmengine - INFO - Epoch(train) [22][100/1879] lr: 2.0000e-02 eta: 15:46:17 time: 1.0274 data_time: 0.0234 memory: 27035 grad_norm: 3.6303 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2260 loss: 1.2260 2022/08/09 03:54:32 - mmengine - INFO - Epoch(train) [22][120/1879] lr: 2.0000e-02 eta: 15:45:55 time: 1.0281 data_time: 0.0237 memory: 27035 grad_norm: 3.7017 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3784 loss: 1.3784 2022/08/09 03:54:53 - mmengine - INFO - Epoch(train) [22][140/1879] lr: 2.0000e-02 eta: 15:45:34 time: 1.0322 data_time: 0.0240 memory: 27035 grad_norm: 3.7486 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4328 loss: 1.4328 2022/08/09 03:55:14 - mmengine - INFO - Epoch(train) [22][160/1879] lr: 2.0000e-02 eta: 15:45:13 time: 1.0333 data_time: 0.0266 memory: 27035 grad_norm: 3.5767 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2202 loss: 1.2202 2022/08/09 03:55:34 - mmengine - INFO - Epoch(train) [22][180/1879] lr: 2.0000e-02 eta: 15:44:52 time: 1.0302 data_time: 0.0234 memory: 27035 grad_norm: 3.6866 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3538 loss: 1.3538 2022/08/09 03:55:55 - mmengine - INFO - Epoch(train) [22][200/1879] lr: 2.0000e-02 eta: 15:44:31 time: 1.0300 data_time: 0.0234 memory: 27035 grad_norm: 3.7254 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2033 loss: 1.2033 2022/08/09 03:56:16 - mmengine - INFO - Epoch(train) [22][220/1879] lr: 2.0000e-02 eta: 15:44:09 time: 1.0321 data_time: 0.0289 memory: 27035 grad_norm: 3.8034 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4952 loss: 1.4952 2022/08/09 03:56:36 - mmengine - INFO - Epoch(train) [22][240/1879] lr: 2.0000e-02 eta: 15:43:48 time: 1.0293 data_time: 0.0235 memory: 27035 grad_norm: 3.8111 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4654 loss: 1.4654 2022/08/09 03:56:57 - mmengine - INFO - Epoch(train) [22][260/1879] lr: 2.0000e-02 eta: 15:43:27 time: 1.0264 data_time: 0.0236 memory: 27035 grad_norm: 3.7498 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5625 loss: 1.5625 2022/08/09 03:57:18 - mmengine - INFO - Epoch(train) [22][280/1879] lr: 2.0000e-02 eta: 15:43:06 time: 1.0562 data_time: 0.0247 memory: 27035 grad_norm: 3.7039 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4427 loss: 1.4427 2022/08/09 03:57:38 - mmengine - INFO - Epoch(train) [22][300/1879] lr: 2.0000e-02 eta: 15:42:45 time: 1.0271 data_time: 0.0235 memory: 27035 grad_norm: 3.6567 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3610 loss: 1.3610 2022/08/09 03:57:59 - mmengine - INFO - Epoch(train) [22][320/1879] lr: 2.0000e-02 eta: 15:42:24 time: 1.0267 data_time: 0.0247 memory: 27035 grad_norm: 3.7562 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4293 loss: 1.4293 2022/08/09 03:58:20 - mmengine - INFO - Epoch(train) [22][340/1879] lr: 2.0000e-02 eta: 15:42:02 time: 1.0267 data_time: 0.0236 memory: 27035 grad_norm: 3.7036 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3226 loss: 1.3226 2022/08/09 03:58:40 - mmengine - INFO - Epoch(train) [22][360/1879] lr: 2.0000e-02 eta: 15:41:41 time: 1.0274 data_time: 0.0236 memory: 27035 grad_norm: 3.5679 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1830 loss: 1.1830 2022/08/09 03:59:01 - mmengine - INFO - Epoch(train) [22][380/1879] lr: 2.0000e-02 eta: 15:41:20 time: 1.0320 data_time: 0.0244 memory: 27035 grad_norm: 3.5408 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.4507 loss: 1.4507 2022/08/09 03:59:21 - mmengine - INFO - Epoch(train) [22][400/1879] lr: 2.0000e-02 eta: 15:40:58 time: 1.0283 data_time: 0.0235 memory: 27035 grad_norm: 3.5920 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3643 loss: 1.3643 2022/08/09 03:59:42 - mmengine - INFO - Epoch(train) [22][420/1879] lr: 2.0000e-02 eta: 15:40:37 time: 1.0282 data_time: 0.0233 memory: 27035 grad_norm: 3.7368 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5190 loss: 1.5190 2022/08/09 04:00:03 - mmengine - INFO - Epoch(train) [22][440/1879] lr: 2.0000e-02 eta: 15:40:16 time: 1.0384 data_time: 0.0242 memory: 27035 grad_norm: 3.8711 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5494 loss: 1.5494 2022/08/09 04:00:24 - mmengine - INFO - Epoch(train) [22][460/1879] lr: 2.0000e-02 eta: 15:39:56 time: 1.0734 data_time: 0.0538 memory: 27035 grad_norm: 3.6305 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4633 loss: 1.4633 2022/08/09 04:00:45 - mmengine - INFO - Epoch(train) [22][480/1879] lr: 2.0000e-02 eta: 15:39:35 time: 1.0286 data_time: 0.0231 memory: 27035 grad_norm: 3.6256 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4188 loss: 1.4188 2022/08/09 04:01:05 - mmengine - INFO - Epoch(train) [22][500/1879] lr: 2.0000e-02 eta: 15:39:13 time: 1.0265 data_time: 0.0235 memory: 27035 grad_norm: 3.7356 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4450 loss: 1.4450 2022/08/09 04:01:26 - mmengine - INFO - Epoch(train) [22][520/1879] lr: 2.0000e-02 eta: 15:38:52 time: 1.0285 data_time: 0.0235 memory: 27035 grad_norm: 3.6598 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3849 loss: 1.3849 2022/08/09 04:01:46 - mmengine - INFO - Epoch(train) [22][540/1879] lr: 2.0000e-02 eta: 15:38:31 time: 1.0264 data_time: 0.0237 memory: 27035 grad_norm: 3.6469 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4563 loss: 1.4563 2022/08/09 04:01:47 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 04:02:07 - mmengine - INFO - Epoch(train) [22][560/1879] lr: 2.0000e-02 eta: 15:38:09 time: 1.0280 data_time: 0.0243 memory: 27035 grad_norm: 3.6768 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3493 loss: 1.3493 2022/08/09 04:02:27 - mmengine - INFO - Epoch(train) [22][580/1879] lr: 2.0000e-02 eta: 15:37:48 time: 1.0273 data_time: 0.0240 memory: 27035 grad_norm: 3.7949 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4584 loss: 1.4584 2022/08/09 04:02:48 - mmengine - INFO - Epoch(train) [22][600/1879] lr: 2.0000e-02 eta: 15:37:27 time: 1.0286 data_time: 0.0248 memory: 27035 grad_norm: 3.6872 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3023 loss: 1.3023 2022/08/09 04:03:09 - mmengine - INFO - Epoch(train) [22][620/1879] lr: 2.0000e-02 eta: 15:37:06 time: 1.0293 data_time: 0.0250 memory: 27035 grad_norm: 3.6364 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2729 loss: 1.2729 2022/08/09 04:03:29 - mmengine - INFO - Epoch(train) [22][640/1879] lr: 2.0000e-02 eta: 15:36:44 time: 1.0364 data_time: 0.0306 memory: 27035 grad_norm: 3.6433 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4076 loss: 1.4076 2022/08/09 04:03:50 - mmengine - INFO - Epoch(train) [22][660/1879] lr: 2.0000e-02 eta: 15:36:23 time: 1.0371 data_time: 0.0228 memory: 27035 grad_norm: 3.6572 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4436 loss: 1.4436 2022/08/09 04:04:11 - mmengine - INFO - Epoch(train) [22][680/1879] lr: 2.0000e-02 eta: 15:36:02 time: 1.0290 data_time: 0.0235 memory: 27035 grad_norm: 3.6265 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4602 loss: 1.4602 2022/08/09 04:04:31 - mmengine - INFO - Epoch(train) [22][700/1879] lr: 2.0000e-02 eta: 15:35:41 time: 1.0314 data_time: 0.0261 memory: 27035 grad_norm: 3.6752 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3808 loss: 1.3808 2022/08/09 04:04:52 - mmengine - INFO - Epoch(train) [22][720/1879] lr: 2.0000e-02 eta: 15:35:20 time: 1.0355 data_time: 0.0241 memory: 27035 grad_norm: 3.6476 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3064 loss: 1.3064 2022/08/09 04:05:13 - mmengine - INFO - Epoch(train) [22][740/1879] lr: 2.0000e-02 eta: 15:34:59 time: 1.0335 data_time: 0.0253 memory: 27035 grad_norm: 3.7112 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3649 loss: 1.3649 2022/08/09 04:05:33 - mmengine - INFO - Epoch(train) [22][760/1879] lr: 2.0000e-02 eta: 15:34:37 time: 1.0300 data_time: 0.0236 memory: 27035 grad_norm: 3.6098 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4040 loss: 1.4040 2022/08/09 04:05:54 - mmengine - INFO - Epoch(train) [22][780/1879] lr: 2.0000e-02 eta: 15:34:16 time: 1.0287 data_time: 0.0227 memory: 27035 grad_norm: 3.6918 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5119 loss: 1.5119 2022/08/09 04:06:14 - mmengine - INFO - Epoch(train) [22][800/1879] lr: 2.0000e-02 eta: 15:33:55 time: 1.0279 data_time: 0.0239 memory: 27035 grad_norm: 3.7075 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4188 loss: 1.4188 2022/08/09 04:06:35 - mmengine - INFO - Epoch(train) [22][820/1879] lr: 2.0000e-02 eta: 15:33:34 time: 1.0321 data_time: 0.0233 memory: 27035 grad_norm: 3.7250 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2939 loss: 1.2939 2022/08/09 04:06:56 - mmengine - INFO - Epoch(train) [22][840/1879] lr: 2.0000e-02 eta: 15:33:12 time: 1.0276 data_time: 0.0241 memory: 27035 grad_norm: 3.7721 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4922 loss: 1.4922 2022/08/09 04:07:17 - mmengine - INFO - Epoch(train) [22][860/1879] lr: 2.0000e-02 eta: 15:32:52 time: 1.0503 data_time: 0.0232 memory: 27035 grad_norm: 3.7133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3589 loss: 1.3589 2022/08/09 04:07:37 - mmengine - INFO - Epoch(train) [22][880/1879] lr: 2.0000e-02 eta: 15:32:30 time: 1.0301 data_time: 0.0227 memory: 27035 grad_norm: 3.7374 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4880 loss: 1.4880 2022/08/09 04:07:58 - mmengine - INFO - Epoch(train) [22][900/1879] lr: 2.0000e-02 eta: 15:32:09 time: 1.0263 data_time: 0.0240 memory: 27035 grad_norm: 3.6817 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3747 loss: 1.3747 2022/08/09 04:08:18 - mmengine - INFO - Epoch(train) [22][920/1879] lr: 2.0000e-02 eta: 15:31:48 time: 1.0303 data_time: 0.0238 memory: 27035 grad_norm: 3.7966 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6358 loss: 1.6358 2022/08/09 04:08:39 - mmengine - INFO - Epoch(train) [22][940/1879] lr: 2.0000e-02 eta: 15:31:27 time: 1.0265 data_time: 0.0245 memory: 27035 grad_norm: 3.5572 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1700 loss: 1.1700 2022/08/09 04:09:00 - mmengine - INFO - Epoch(train) [22][960/1879] lr: 2.0000e-02 eta: 15:31:05 time: 1.0282 data_time: 0.0238 memory: 27035 grad_norm: 3.6897 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2300 loss: 1.2300 2022/08/09 04:09:20 - mmengine - INFO - Epoch(train) [22][980/1879] lr: 2.0000e-02 eta: 15:30:44 time: 1.0348 data_time: 0.0295 memory: 27035 grad_norm: 3.8511 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3302 loss: 1.3302 2022/08/09 04:09:41 - mmengine - INFO - Epoch(train) [22][1000/1879] lr: 2.0000e-02 eta: 15:30:23 time: 1.0372 data_time: 0.0240 memory: 27035 grad_norm: 3.8537 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4799 loss: 1.4799 2022/08/09 04:10:02 - mmengine - INFO - Epoch(train) [22][1020/1879] lr: 2.0000e-02 eta: 15:30:02 time: 1.0340 data_time: 0.0245 memory: 27035 grad_norm: 3.6809 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5885 loss: 1.5885 2022/08/09 04:10:23 - mmengine - INFO - Epoch(train) [22][1040/1879] lr: 2.0000e-02 eta: 15:29:41 time: 1.0525 data_time: 0.0357 memory: 27035 grad_norm: 3.6581 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3269 loss: 1.3269 2022/08/09 04:10:43 - mmengine - INFO - Epoch(train) [22][1060/1879] lr: 2.0000e-02 eta: 15:29:20 time: 1.0275 data_time: 0.0220 memory: 27035 grad_norm: 3.7069 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3886 loss: 1.3886 2022/08/09 04:11:04 - mmengine - INFO - Epoch(train) [22][1080/1879] lr: 2.0000e-02 eta: 15:28:59 time: 1.0300 data_time: 0.0249 memory: 27035 grad_norm: 3.7822 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4804 loss: 1.4804 2022/08/09 04:11:24 - mmengine - INFO - Epoch(train) [22][1100/1879] lr: 2.0000e-02 eta: 15:28:38 time: 1.0274 data_time: 0.0234 memory: 27035 grad_norm: 3.7044 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4598 loss: 1.4598 2022/08/09 04:11:45 - mmengine - INFO - Epoch(train) [22][1120/1879] lr: 2.0000e-02 eta: 15:28:17 time: 1.0357 data_time: 0.0240 memory: 27035 grad_norm: 3.8490 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4323 loss: 1.4323 2022/08/09 04:12:06 - mmengine - INFO - Epoch(train) [22][1140/1879] lr: 2.0000e-02 eta: 15:27:55 time: 1.0312 data_time: 0.0235 memory: 27035 grad_norm: 3.8541 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5047 loss: 1.5047 2022/08/09 04:12:27 - mmengine - INFO - Epoch(train) [22][1160/1879] lr: 2.0000e-02 eta: 15:27:34 time: 1.0287 data_time: 0.0238 memory: 27035 grad_norm: 3.6501 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4138 loss: 1.4138 2022/08/09 04:12:47 - mmengine - INFO - Epoch(train) [22][1180/1879] lr: 2.0000e-02 eta: 15:27:13 time: 1.0350 data_time: 0.0304 memory: 27035 grad_norm: 3.7139 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4561 loss: 1.4561 2022/08/09 04:13:08 - mmengine - INFO - Epoch(train) [22][1200/1879] lr: 2.0000e-02 eta: 15:26:52 time: 1.0283 data_time: 0.0231 memory: 27035 grad_norm: 3.7065 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4702 loss: 1.4702 2022/08/09 04:13:28 - mmengine - INFO - Epoch(train) [22][1220/1879] lr: 2.0000e-02 eta: 15:26:31 time: 1.0363 data_time: 0.0332 memory: 27035 grad_norm: 3.7685 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4680 loss: 1.4680 2022/08/09 04:13:49 - mmengine - INFO - Epoch(train) [22][1240/1879] lr: 2.0000e-02 eta: 15:26:09 time: 1.0318 data_time: 0.0256 memory: 27035 grad_norm: 3.7158 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3658 loss: 1.3658 2022/08/09 04:14:10 - mmengine - INFO - Epoch(train) [22][1260/1879] lr: 2.0000e-02 eta: 15:25:48 time: 1.0319 data_time: 0.0227 memory: 27035 grad_norm: 3.5784 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3929 loss: 1.3929 2022/08/09 04:14:30 - mmengine - INFO - Epoch(train) [22][1280/1879] lr: 2.0000e-02 eta: 15:25:27 time: 1.0292 data_time: 0.0256 memory: 27035 grad_norm: 3.5950 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2860 loss: 1.2860 2022/08/09 04:14:51 - mmengine - INFO - Epoch(train) [22][1300/1879] lr: 2.0000e-02 eta: 15:25:06 time: 1.0314 data_time: 0.0241 memory: 27035 grad_norm: 3.8730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3558 loss: 1.3558 2022/08/09 04:15:11 - mmengine - INFO - Epoch(train) [22][1320/1879] lr: 2.0000e-02 eta: 15:24:45 time: 1.0298 data_time: 0.0246 memory: 27035 grad_norm: 3.7742 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5202 loss: 1.5202 2022/08/09 04:15:32 - mmengine - INFO - Epoch(train) [22][1340/1879] lr: 2.0000e-02 eta: 15:24:23 time: 1.0281 data_time: 0.0236 memory: 27035 grad_norm: 3.7904 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3199 loss: 1.3199 2022/08/09 04:15:53 - mmengine - INFO - Epoch(train) [22][1360/1879] lr: 2.0000e-02 eta: 15:24:02 time: 1.0289 data_time: 0.0248 memory: 27035 grad_norm: 3.7687 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.5270 loss: 1.5270 2022/08/09 04:16:13 - mmengine - INFO - Epoch(train) [22][1380/1879] lr: 2.0000e-02 eta: 15:23:41 time: 1.0310 data_time: 0.0243 memory: 27035 grad_norm: 3.7289 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4376 loss: 1.4376 2022/08/09 04:16:34 - mmengine - INFO - Epoch(train) [22][1400/1879] lr: 2.0000e-02 eta: 15:23:20 time: 1.0257 data_time: 0.0231 memory: 27035 grad_norm: 3.7878 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5582 loss: 1.5582 2022/08/09 04:16:54 - mmengine - INFO - Epoch(train) [22][1420/1879] lr: 2.0000e-02 eta: 15:22:58 time: 1.0283 data_time: 0.0237 memory: 27035 grad_norm: 3.7123 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4255 loss: 1.4255 2022/08/09 04:17:16 - mmengine - INFO - Epoch(train) [22][1440/1879] lr: 2.0000e-02 eta: 15:22:38 time: 1.0572 data_time: 0.0243 memory: 27035 grad_norm: 3.6242 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5196 loss: 1.5196 2022/08/09 04:17:36 - mmengine - INFO - Epoch(train) [22][1460/1879] lr: 2.0000e-02 eta: 15:22:17 time: 1.0312 data_time: 0.0233 memory: 27035 grad_norm: 3.7360 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5382 loss: 1.5382 2022/08/09 04:17:57 - mmengine - INFO - Epoch(train) [22][1480/1879] lr: 2.0000e-02 eta: 15:21:55 time: 1.0307 data_time: 0.0235 memory: 27035 grad_norm: 3.6609 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5312 loss: 1.5312 2022/08/09 04:18:17 - mmengine - INFO - Epoch(train) [22][1500/1879] lr: 2.0000e-02 eta: 15:21:34 time: 1.0291 data_time: 0.0223 memory: 27035 grad_norm: 3.7480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4957 loss: 1.4957 2022/08/09 04:18:38 - mmengine - INFO - Epoch(train) [22][1520/1879] lr: 2.0000e-02 eta: 15:21:13 time: 1.0348 data_time: 0.0303 memory: 27035 grad_norm: 3.7222 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5816 loss: 1.5816 2022/08/09 04:18:59 - mmengine - INFO - Epoch(train) [22][1540/1879] lr: 2.0000e-02 eta: 15:20:52 time: 1.0339 data_time: 0.0228 memory: 27035 grad_norm: 3.7314 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5394 loss: 1.5394 2022/08/09 04:19:00 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 04:19:19 - mmengine - INFO - Epoch(train) [22][1560/1879] lr: 2.0000e-02 eta: 15:20:31 time: 1.0270 data_time: 0.0221 memory: 27035 grad_norm: 3.7285 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5676 loss: 1.5676 2022/08/09 04:19:40 - mmengine - INFO - Epoch(train) [22][1580/1879] lr: 2.0000e-02 eta: 15:20:09 time: 1.0288 data_time: 0.0226 memory: 27035 grad_norm: 3.7650 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6064 loss: 1.6064 2022/08/09 04:20:00 - mmengine - INFO - Epoch(train) [22][1600/1879] lr: 2.0000e-02 eta: 15:19:48 time: 1.0315 data_time: 0.0232 memory: 27035 grad_norm: 3.7082 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4344 loss: 1.4344 2022/08/09 04:20:21 - mmengine - INFO - Epoch(train) [22][1620/1879] lr: 2.0000e-02 eta: 15:19:27 time: 1.0298 data_time: 0.0232 memory: 27035 grad_norm: 3.7837 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5011 loss: 1.5011 2022/08/09 04:20:42 - mmengine - INFO - Epoch(train) [22][1640/1879] lr: 2.0000e-02 eta: 15:19:06 time: 1.0327 data_time: 0.0234 memory: 27035 grad_norm: 3.7780 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5695 loss: 1.5695 2022/08/09 04:21:02 - mmengine - INFO - Epoch(train) [22][1660/1879] lr: 2.0000e-02 eta: 15:18:45 time: 1.0310 data_time: 0.0227 memory: 27035 grad_norm: 3.7174 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6227 loss: 1.6227 2022/08/09 04:21:23 - mmengine - INFO - Epoch(train) [22][1680/1879] lr: 2.0000e-02 eta: 15:18:23 time: 1.0280 data_time: 0.0235 memory: 27035 grad_norm: 3.6396 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3317 loss: 1.3317 2022/08/09 04:21:44 - mmengine - INFO - Epoch(train) [22][1700/1879] lr: 2.0000e-02 eta: 15:18:02 time: 1.0287 data_time: 0.0237 memory: 27035 grad_norm: 3.8103 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4938 loss: 1.4938 2022/08/09 04:22:04 - mmengine - INFO - Epoch(train) [22][1720/1879] lr: 2.0000e-02 eta: 15:17:41 time: 1.0388 data_time: 0.0352 memory: 27035 grad_norm: 3.7176 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5679 loss: 1.5679 2022/08/09 04:22:25 - mmengine - INFO - Epoch(train) [22][1740/1879] lr: 2.0000e-02 eta: 15:17:20 time: 1.0305 data_time: 0.0243 memory: 27035 grad_norm: 3.6353 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5001 loss: 1.5001 2022/08/09 04:22:45 - mmengine - INFO - Epoch(train) [22][1760/1879] lr: 2.0000e-02 eta: 15:16:59 time: 1.0278 data_time: 0.0228 memory: 27035 grad_norm: 3.6407 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4770 loss: 1.4770 2022/08/09 04:23:06 - mmengine - INFO - Epoch(train) [22][1780/1879] lr: 2.0000e-02 eta: 15:16:37 time: 1.0286 data_time: 0.0231 memory: 27035 grad_norm: 3.6851 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2930 loss: 1.2930 2022/08/09 04:23:27 - mmengine - INFO - Epoch(train) [22][1800/1879] lr: 2.0000e-02 eta: 15:16:16 time: 1.0285 data_time: 0.0235 memory: 27035 grad_norm: 3.6854 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4289 loss: 1.4289 2022/08/09 04:23:47 - mmengine - INFO - Epoch(train) [22][1820/1879] lr: 2.0000e-02 eta: 15:15:55 time: 1.0313 data_time: 0.0237 memory: 27035 grad_norm: 3.6746 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4521 loss: 1.4521 2022/08/09 04:24:08 - mmengine - INFO - Epoch(train) [22][1840/1879] lr: 2.0000e-02 eta: 15:15:34 time: 1.0297 data_time: 0.0248 memory: 27035 grad_norm: 3.6909 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3726 loss: 1.3726 2022/08/09 04:24:28 - mmengine - INFO - Epoch(train) [22][1860/1879] lr: 2.0000e-02 eta: 15:15:13 time: 1.0265 data_time: 0.0225 memory: 27035 grad_norm: 3.6938 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2483 loss: 1.2483 2022/08/09 04:24:47 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 04:24:47 - mmengine - INFO - Epoch(train) [22][1879/1879] lr: 2.0000e-02 eta: 15:15:13 time: 1.0035 data_time: 0.0206 memory: 27035 grad_norm: 3.8253 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.6302 loss: 1.6302 2022/08/09 04:25:03 - mmengine - INFO - Epoch(val) [22][20/155] eta: 0:01:44 time: 0.7709 data_time: 0.4989 memory: 3270 2022/08/09 04:25:16 - mmengine - INFO - Epoch(val) [22][40/155] eta: 0:01:16 time: 0.6625 data_time: 0.3924 memory: 3270 2022/08/09 04:25:29 - mmengine - INFO - Epoch(val) [22][60/155] eta: 0:01:02 time: 0.6558 data_time: 0.3850 memory: 3270 2022/08/09 04:25:42 - mmengine - INFO - Epoch(val) [22][80/155] eta: 0:00:46 time: 0.6220 data_time: 0.3481 memory: 3270 2022/08/09 04:25:56 - mmengine - INFO - Epoch(val) [22][100/155] eta: 0:00:39 time: 0.7226 data_time: 0.4501 memory: 3270 2022/08/09 04:26:07 - mmengine - INFO - Epoch(val) [22][120/155] eta: 0:00:19 time: 0.5498 data_time: 0.2781 memory: 3270 2022/08/09 04:26:21 - mmengine - INFO - Epoch(val) [22][140/155] eta: 0:00:10 time: 0.7076 data_time: 0.4378 memory: 3270 2022/08/09 04:26:30 - mmengine - INFO - Epoch(val) [22][155/155] acc/top1: 0.6370 acc/top5: 0.8561 acc/mean1: 0.6368 2022/08/09 04:26:56 - mmengine - INFO - Epoch(train) [23][20/1879] lr: 2.0000e-02 eta: 15:14:13 time: 1.3048 data_time: 0.2158 memory: 27035 grad_norm: 3.5171 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2688 loss: 1.2688 2022/08/09 04:27:17 - mmengine - INFO - Epoch(train) [23][40/1879] lr: 2.0000e-02 eta: 15:13:52 time: 1.0427 data_time: 0.0396 memory: 27035 grad_norm: 3.5937 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5235 loss: 1.5235 2022/08/09 04:27:38 - mmengine - INFO - Epoch(train) [23][60/1879] lr: 2.0000e-02 eta: 15:13:31 time: 1.0270 data_time: 0.0227 memory: 27035 grad_norm: 3.5688 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3954 loss: 1.3954 2022/08/09 04:27:58 - mmengine - INFO - Epoch(train) [23][80/1879] lr: 2.0000e-02 eta: 15:13:10 time: 1.0321 data_time: 0.0237 memory: 27035 grad_norm: 3.6071 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2991 loss: 1.2991 2022/08/09 04:28:19 - mmengine - INFO - Epoch(train) [23][100/1879] lr: 2.0000e-02 eta: 15:12:49 time: 1.0286 data_time: 0.0235 memory: 27035 grad_norm: 3.6497 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5864 loss: 1.5864 2022/08/09 04:28:40 - mmengine - INFO - Epoch(train) [23][120/1879] lr: 2.0000e-02 eta: 15:12:28 time: 1.0327 data_time: 0.0230 memory: 27035 grad_norm: 3.6207 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2533 loss: 1.2533 2022/08/09 04:29:00 - mmengine - INFO - Epoch(train) [23][140/1879] lr: 2.0000e-02 eta: 15:12:06 time: 1.0292 data_time: 0.0238 memory: 27035 grad_norm: 3.6219 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3155 loss: 1.3155 2022/08/09 04:29:21 - mmengine - INFO - Epoch(train) [23][160/1879] lr: 2.0000e-02 eta: 15:11:45 time: 1.0316 data_time: 0.0230 memory: 27035 grad_norm: 3.6058 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6241 loss: 1.6241 2022/08/09 04:29:41 - mmengine - INFO - Epoch(train) [23][180/1879] lr: 2.0000e-02 eta: 15:11:24 time: 1.0269 data_time: 0.0228 memory: 27035 grad_norm: 3.6630 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3744 loss: 1.3744 2022/08/09 04:30:02 - mmengine - INFO - Epoch(train) [23][200/1879] lr: 2.0000e-02 eta: 15:11:03 time: 1.0283 data_time: 0.0230 memory: 27035 grad_norm: 3.6142 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4714 loss: 1.4714 2022/08/09 04:30:23 - mmengine - INFO - Epoch(train) [23][220/1879] lr: 2.0000e-02 eta: 15:10:42 time: 1.0321 data_time: 0.0249 memory: 27035 grad_norm: 3.6359 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2951 loss: 1.2951 2022/08/09 04:30:43 - mmengine - INFO - Epoch(train) [23][240/1879] lr: 2.0000e-02 eta: 15:10:20 time: 1.0272 data_time: 0.0229 memory: 27035 grad_norm: 3.6815 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2590 loss: 1.2590 2022/08/09 04:31:04 - mmengine - INFO - Epoch(train) [23][260/1879] lr: 2.0000e-02 eta: 15:09:59 time: 1.0297 data_time: 0.0229 memory: 27035 grad_norm: 3.7838 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5159 loss: 1.5159 2022/08/09 04:31:24 - mmengine - INFO - Epoch(train) [23][280/1879] lr: 2.0000e-02 eta: 15:09:38 time: 1.0302 data_time: 0.0232 memory: 27035 grad_norm: 3.6773 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4191 loss: 1.4191 2022/08/09 04:31:45 - mmengine - INFO - Epoch(train) [23][300/1879] lr: 2.0000e-02 eta: 15:09:17 time: 1.0262 data_time: 0.0222 memory: 27035 grad_norm: 3.6348 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3784 loss: 1.3784 2022/08/09 04:32:05 - mmengine - INFO - Epoch(train) [23][320/1879] lr: 2.0000e-02 eta: 15:08:55 time: 1.0257 data_time: 0.0217 memory: 27035 grad_norm: 3.6990 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2108 loss: 1.2108 2022/08/09 04:32:26 - mmengine - INFO - Epoch(train) [23][340/1879] lr: 2.0000e-02 eta: 15:08:34 time: 1.0278 data_time: 0.0224 memory: 27035 grad_norm: 3.6936 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3396 loss: 1.3396 2022/08/09 04:32:46 - mmengine - INFO - Epoch(train) [23][360/1879] lr: 2.0000e-02 eta: 15:08:13 time: 1.0245 data_time: 0.0228 memory: 27035 grad_norm: 3.6594 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4711 loss: 1.4711 2022/08/09 04:33:07 - mmengine - INFO - Epoch(train) [23][380/1879] lr: 2.0000e-02 eta: 15:07:52 time: 1.0275 data_time: 0.0222 memory: 27035 grad_norm: 3.7672 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3551 loss: 1.3551 2022/08/09 04:33:27 - mmengine - INFO - Epoch(train) [23][400/1879] lr: 2.0000e-02 eta: 15:07:30 time: 1.0257 data_time: 0.0226 memory: 27035 grad_norm: 3.7115 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3312 loss: 1.3312 2022/08/09 04:33:48 - mmengine - INFO - Epoch(train) [23][420/1879] lr: 2.0000e-02 eta: 15:07:09 time: 1.0261 data_time: 0.0229 memory: 27035 grad_norm: 3.7884 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5089 loss: 1.5089 2022/08/09 04:34:09 - mmengine - INFO - Epoch(train) [23][440/1879] lr: 2.0000e-02 eta: 15:06:48 time: 1.0345 data_time: 0.0301 memory: 27035 grad_norm: 3.6427 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3728 loss: 1.3728 2022/08/09 04:34:29 - mmengine - INFO - Epoch(train) [23][460/1879] lr: 2.0000e-02 eta: 15:06:27 time: 1.0284 data_time: 0.0237 memory: 27035 grad_norm: 3.7396 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2698 loss: 1.2698 2022/08/09 04:34:50 - mmengine - INFO - Epoch(train) [23][480/1879] lr: 2.0000e-02 eta: 15:06:06 time: 1.0289 data_time: 0.0233 memory: 27035 grad_norm: 3.7731 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3918 loss: 1.3918 2022/08/09 04:35:11 - mmengine - INFO - Epoch(train) [23][500/1879] lr: 2.0000e-02 eta: 15:05:45 time: 1.0481 data_time: 0.0257 memory: 27035 grad_norm: 3.6662 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2590 loss: 1.2590 2022/08/09 04:35:32 - mmengine - INFO - Epoch(train) [23][520/1879] lr: 2.0000e-02 eta: 15:05:24 time: 1.0440 data_time: 0.0245 memory: 27035 grad_norm: 3.6544 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4008 loss: 1.4008 2022/08/09 04:35:52 - mmengine - INFO - Epoch(train) [23][540/1879] lr: 2.0000e-02 eta: 15:05:03 time: 1.0322 data_time: 0.0221 memory: 27035 grad_norm: 3.7963 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2280 loss: 1.2280 2022/08/09 04:36:13 - mmengine - INFO - Epoch(train) [23][560/1879] lr: 2.0000e-02 eta: 15:04:42 time: 1.0276 data_time: 0.0230 memory: 27035 grad_norm: 3.6221 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3450 loss: 1.3450 2022/08/09 04:36:33 - mmengine - INFO - Epoch(train) [23][580/1879] lr: 2.0000e-02 eta: 15:04:21 time: 1.0291 data_time: 0.0234 memory: 27035 grad_norm: 3.7635 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4428 loss: 1.4428 2022/08/09 04:36:54 - mmengine - INFO - Epoch(train) [23][600/1879] lr: 2.0000e-02 eta: 15:03:59 time: 1.0308 data_time: 0.0229 memory: 27035 grad_norm: 3.6394 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3409 loss: 1.3409 2022/08/09 04:37:15 - mmengine - INFO - Epoch(train) [23][620/1879] lr: 2.0000e-02 eta: 15:03:39 time: 1.0619 data_time: 0.0578 memory: 27035 grad_norm: 3.7364 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4534 loss: 1.4534 2022/08/09 04:37:36 - mmengine - INFO - Epoch(train) [23][640/1879] lr: 2.0000e-02 eta: 15:03:18 time: 1.0291 data_time: 0.0230 memory: 27035 grad_norm: 3.7363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3578 loss: 1.3578 2022/08/09 04:37:56 - mmengine - INFO - Epoch(train) [23][660/1879] lr: 2.0000e-02 eta: 15:02:57 time: 1.0273 data_time: 0.0239 memory: 27035 grad_norm: 3.8580 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3026 loss: 1.3026 2022/08/09 04:37:59 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 04:38:17 - mmengine - INFO - Epoch(train) [23][680/1879] lr: 2.0000e-02 eta: 15:02:35 time: 1.0272 data_time: 0.0246 memory: 27035 grad_norm: 3.6770 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5244 loss: 1.5244 2022/08/09 04:38:38 - mmengine - INFO - Epoch(train) [23][700/1879] lr: 2.0000e-02 eta: 15:02:14 time: 1.0297 data_time: 0.0236 memory: 27035 grad_norm: 3.6448 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5075 loss: 1.5075 2022/08/09 04:38:58 - mmengine - INFO - Epoch(train) [23][720/1879] lr: 2.0000e-02 eta: 15:01:53 time: 1.0394 data_time: 0.0310 memory: 27035 grad_norm: 3.6013 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2148 loss: 1.2148 2022/08/09 04:39:19 - mmengine - INFO - Epoch(train) [23][740/1879] lr: 2.0000e-02 eta: 15:01:32 time: 1.0285 data_time: 0.0248 memory: 27035 grad_norm: 3.7063 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5532 loss: 1.5532 2022/08/09 04:39:40 - mmengine - INFO - Epoch(train) [23][760/1879] lr: 2.0000e-02 eta: 15:01:11 time: 1.0309 data_time: 0.0240 memory: 27035 grad_norm: 3.7296 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3957 loss: 1.3957 2022/08/09 04:40:00 - mmengine - INFO - Epoch(train) [23][780/1879] lr: 2.0000e-02 eta: 15:00:50 time: 1.0268 data_time: 0.0229 memory: 27035 grad_norm: 3.6621 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3680 loss: 1.3680 2022/08/09 04:40:21 - mmengine - INFO - Epoch(train) [23][800/1879] lr: 2.0000e-02 eta: 15:00:29 time: 1.0430 data_time: 0.0289 memory: 27035 grad_norm: 3.7187 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2673 loss: 1.2673 2022/08/09 04:40:42 - mmengine - INFO - Epoch(train) [23][820/1879] lr: 2.0000e-02 eta: 15:00:07 time: 1.0269 data_time: 0.0205 memory: 27035 grad_norm: 3.9026 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3600 loss: 1.3600 2022/08/09 04:41:02 - mmengine - INFO - Epoch(train) [23][840/1879] lr: 2.0000e-02 eta: 14:59:46 time: 1.0309 data_time: 0.0227 memory: 27035 grad_norm: 3.6104 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4585 loss: 1.4585 2022/08/09 04:41:23 - mmengine - INFO - Epoch(train) [23][860/1879] lr: 2.0000e-02 eta: 14:59:25 time: 1.0295 data_time: 0.0227 memory: 27035 grad_norm: 3.8058 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4115 loss: 1.4115 2022/08/09 04:41:44 - mmengine - INFO - Epoch(train) [23][880/1879] lr: 2.0000e-02 eta: 14:59:04 time: 1.0347 data_time: 0.0231 memory: 27035 grad_norm: 3.7450 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6170 loss: 1.6170 2022/08/09 04:42:04 - mmengine - INFO - Epoch(train) [23][900/1879] lr: 2.0000e-02 eta: 14:58:43 time: 1.0296 data_time: 0.0224 memory: 27035 grad_norm: 3.6898 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.2733 loss: 1.2733 2022/08/09 04:42:25 - mmengine - INFO - Epoch(train) [23][920/1879] lr: 2.0000e-02 eta: 14:58:22 time: 1.0296 data_time: 0.0235 memory: 27035 grad_norm: 3.7491 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3137 loss: 1.3137 2022/08/09 04:42:45 - mmengine - INFO - Epoch(train) [23][940/1879] lr: 2.0000e-02 eta: 14:58:01 time: 1.0288 data_time: 0.0235 memory: 27035 grad_norm: 3.6633 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3593 loss: 1.3593 2022/08/09 04:43:06 - mmengine - INFO - Epoch(train) [23][960/1879] lr: 2.0000e-02 eta: 14:57:39 time: 1.0319 data_time: 0.0235 memory: 27035 grad_norm: 3.6990 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2108 loss: 1.2108 2022/08/09 04:43:27 - mmengine - INFO - Epoch(train) [23][980/1879] lr: 2.0000e-02 eta: 14:57:18 time: 1.0313 data_time: 0.0228 memory: 27035 grad_norm: 3.8128 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3777 loss: 1.3777 2022/08/09 04:43:47 - mmengine - INFO - Epoch(train) [23][1000/1879] lr: 2.0000e-02 eta: 14:56:57 time: 1.0283 data_time: 0.0236 memory: 27035 grad_norm: 3.7397 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1720 loss: 1.1720 2022/08/09 04:44:08 - mmengine - INFO - Epoch(train) [23][1020/1879] lr: 2.0000e-02 eta: 14:56:36 time: 1.0275 data_time: 0.0230 memory: 27035 grad_norm: 3.7339 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4142 loss: 1.4142 2022/08/09 04:44:28 - mmengine - INFO - Epoch(train) [23][1040/1879] lr: 2.0000e-02 eta: 14:56:15 time: 1.0277 data_time: 0.0233 memory: 27035 grad_norm: 3.6514 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4258 loss: 1.4258 2022/08/09 04:44:49 - mmengine - INFO - Epoch(train) [23][1060/1879] lr: 2.0000e-02 eta: 14:55:53 time: 1.0315 data_time: 0.0234 memory: 27035 grad_norm: 3.7008 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3300 loss: 1.3300 2022/08/09 04:45:09 - mmengine - INFO - Epoch(train) [23][1080/1879] lr: 2.0000e-02 eta: 14:55:32 time: 1.0291 data_time: 0.0245 memory: 27035 grad_norm: 3.7058 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2834 loss: 1.2834 2022/08/09 04:45:30 - mmengine - INFO - Epoch(train) [23][1100/1879] lr: 2.0000e-02 eta: 14:55:11 time: 1.0318 data_time: 0.0232 memory: 27035 grad_norm: 3.6732 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3808 loss: 1.3808 2022/08/09 04:45:51 - mmengine - INFO - Epoch(train) [23][1120/1879] lr: 2.0000e-02 eta: 14:54:50 time: 1.0290 data_time: 0.0236 memory: 27035 grad_norm: 3.7680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5856 loss: 1.5856 2022/08/09 04:46:11 - mmengine - INFO - Epoch(train) [23][1140/1879] lr: 2.0000e-02 eta: 14:54:29 time: 1.0291 data_time: 0.0233 memory: 27035 grad_norm: 3.8048 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6231 loss: 1.6231 2022/08/09 04:46:32 - mmengine - INFO - Epoch(train) [23][1160/1879] lr: 2.0000e-02 eta: 14:54:08 time: 1.0405 data_time: 0.0331 memory: 27035 grad_norm: 3.7956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3261 loss: 1.3261 2022/08/09 04:46:53 - mmengine - INFO - Epoch(train) [23][1180/1879] lr: 2.0000e-02 eta: 14:53:47 time: 1.0269 data_time: 0.0230 memory: 27035 grad_norm: 3.7171 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3886 loss: 1.3886 2022/08/09 04:47:14 - mmengine - INFO - Epoch(train) [23][1200/1879] lr: 2.0000e-02 eta: 14:53:26 time: 1.0519 data_time: 0.0233 memory: 27035 grad_norm: 3.7042 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5867 loss: 1.5867 2022/08/09 04:47:34 - mmengine - INFO - Epoch(train) [23][1220/1879] lr: 2.0000e-02 eta: 14:53:05 time: 1.0332 data_time: 0.0235 memory: 27035 grad_norm: 3.6492 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4189 loss: 1.4189 2022/08/09 04:47:55 - mmengine - INFO - Epoch(train) [23][1240/1879] lr: 2.0000e-02 eta: 14:52:44 time: 1.0272 data_time: 0.0229 memory: 27035 grad_norm: 3.7587 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6058 loss: 1.6058 2022/08/09 04:48:15 - mmengine - INFO - Epoch(train) [23][1260/1879] lr: 2.0000e-02 eta: 14:52:23 time: 1.0293 data_time: 0.0221 memory: 27035 grad_norm: 3.7555 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3527 loss: 1.3527 2022/08/09 04:48:36 - mmengine - INFO - Epoch(train) [23][1280/1879] lr: 2.0000e-02 eta: 14:52:01 time: 1.0308 data_time: 0.0227 memory: 27035 grad_norm: 3.7126 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3168 loss: 1.3168 2022/08/09 04:48:57 - mmengine - INFO - Epoch(train) [23][1300/1879] lr: 2.0000e-02 eta: 14:51:40 time: 1.0323 data_time: 0.0259 memory: 27035 grad_norm: 3.7008 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2777 loss: 1.2777 2022/08/09 04:49:17 - mmengine - INFO - Epoch(train) [23][1320/1879] lr: 2.0000e-02 eta: 14:51:19 time: 1.0330 data_time: 0.0228 memory: 27035 grad_norm: 3.7286 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4946 loss: 1.4946 2022/08/09 04:49:38 - mmengine - INFO - Epoch(train) [23][1340/1879] lr: 2.0000e-02 eta: 14:50:58 time: 1.0281 data_time: 0.0240 memory: 27035 grad_norm: 3.6955 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2956 loss: 1.2956 2022/08/09 04:49:59 - mmengine - INFO - Epoch(train) [23][1360/1879] lr: 2.0000e-02 eta: 14:50:37 time: 1.0310 data_time: 0.0234 memory: 27035 grad_norm: 3.6443 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3979 loss: 1.3979 2022/08/09 04:50:19 - mmengine - INFO - Epoch(train) [23][1380/1879] lr: 2.0000e-02 eta: 14:50:16 time: 1.0346 data_time: 0.0245 memory: 27035 grad_norm: 3.6491 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4664 loss: 1.4664 2022/08/09 04:50:40 - mmengine - INFO - Epoch(train) [23][1400/1879] lr: 2.0000e-02 eta: 14:49:55 time: 1.0303 data_time: 0.0239 memory: 27035 grad_norm: 3.8486 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4317 loss: 1.4317 2022/08/09 04:51:01 - mmengine - INFO - Epoch(train) [23][1420/1879] lr: 2.0000e-02 eta: 14:49:34 time: 1.0315 data_time: 0.0230 memory: 27035 grad_norm: 3.6953 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3000 loss: 1.3000 2022/08/09 04:51:21 - mmengine - INFO - Epoch(train) [23][1440/1879] lr: 2.0000e-02 eta: 14:49:12 time: 1.0289 data_time: 0.0236 memory: 27035 grad_norm: 3.7919 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5463 loss: 1.5463 2022/08/09 04:51:42 - mmengine - INFO - Epoch(train) [23][1460/1879] lr: 2.0000e-02 eta: 14:48:51 time: 1.0340 data_time: 0.0235 memory: 27035 grad_norm: 3.7198 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5354 loss: 1.5354 2022/08/09 04:52:02 - mmengine - INFO - Epoch(train) [23][1480/1879] lr: 2.0000e-02 eta: 14:48:30 time: 1.0278 data_time: 0.0229 memory: 27035 grad_norm: 3.6820 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4007 loss: 1.4007 2022/08/09 04:52:23 - mmengine - INFO - Epoch(train) [23][1500/1879] lr: 2.0000e-02 eta: 14:48:09 time: 1.0290 data_time: 0.0230 memory: 27035 grad_norm: 3.6910 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3293 loss: 1.3293 2022/08/09 04:52:44 - mmengine - INFO - Epoch(train) [23][1520/1879] lr: 2.0000e-02 eta: 14:47:48 time: 1.0283 data_time: 0.0234 memory: 27035 grad_norm: 3.8298 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3275 loss: 1.3275 2022/08/09 04:53:04 - mmengine - INFO - Epoch(train) [23][1540/1879] lr: 2.0000e-02 eta: 14:47:27 time: 1.0322 data_time: 0.0248 memory: 27035 grad_norm: 3.7573 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3285 loss: 1.3285 2022/08/09 04:53:25 - mmengine - INFO - Epoch(train) [23][1560/1879] lr: 2.0000e-02 eta: 14:47:06 time: 1.0313 data_time: 0.0235 memory: 27035 grad_norm: 3.7128 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5975 loss: 1.5975 2022/08/09 04:53:45 - mmengine - INFO - Epoch(train) [23][1580/1879] lr: 2.0000e-02 eta: 14:46:44 time: 1.0260 data_time: 0.0235 memory: 27035 grad_norm: 3.5805 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2804 loss: 1.2804 2022/08/09 04:54:06 - mmengine - INFO - Epoch(train) [23][1600/1879] lr: 2.0000e-02 eta: 14:46:23 time: 1.0313 data_time: 0.0236 memory: 27035 grad_norm: 3.8217 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4237 loss: 1.4237 2022/08/09 04:54:27 - mmengine - INFO - Epoch(train) [23][1620/1879] lr: 2.0000e-02 eta: 14:46:02 time: 1.0268 data_time: 0.0236 memory: 27035 grad_norm: 3.7525 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5612 loss: 1.5612 2022/08/09 04:54:47 - mmengine - INFO - Epoch(train) [23][1640/1879] lr: 2.0000e-02 eta: 14:45:41 time: 1.0293 data_time: 0.0239 memory: 27035 grad_norm: 3.6390 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3834 loss: 1.3834 2022/08/09 04:55:08 - mmengine - INFO - Epoch(train) [23][1660/1879] lr: 2.0000e-02 eta: 14:45:20 time: 1.0305 data_time: 0.0242 memory: 27035 grad_norm: 3.7101 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3125 loss: 1.3125 2022/08/09 04:55:10 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 04:55:29 - mmengine - INFO - Epoch(train) [23][1680/1879] lr: 2.0000e-02 eta: 14:44:59 time: 1.0567 data_time: 0.0439 memory: 27035 grad_norm: 3.7330 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3531 loss: 1.3531 2022/08/09 04:55:49 - mmengine - INFO - Epoch(train) [23][1700/1879] lr: 2.0000e-02 eta: 14:44:38 time: 1.0286 data_time: 0.0245 memory: 27035 grad_norm: 3.6820 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3701 loss: 1.3701 2022/08/09 04:56:10 - mmengine - INFO - Epoch(train) [23][1720/1879] lr: 2.0000e-02 eta: 14:44:17 time: 1.0323 data_time: 0.0238 memory: 27035 grad_norm: 3.7243 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5358 loss: 1.5358 2022/08/09 04:56:31 - mmengine - INFO - Epoch(train) [23][1740/1879] lr: 2.0000e-02 eta: 14:43:56 time: 1.0263 data_time: 0.0233 memory: 27035 grad_norm: 3.6523 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2130 loss: 1.2130 2022/08/09 04:56:51 - mmengine - INFO - Epoch(train) [23][1760/1879] lr: 2.0000e-02 eta: 14:43:34 time: 1.0300 data_time: 0.0233 memory: 27035 grad_norm: 3.7197 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3209 loss: 1.3209 2022/08/09 04:57:12 - mmengine - INFO - Epoch(train) [23][1780/1879] lr: 2.0000e-02 eta: 14:43:13 time: 1.0271 data_time: 0.0238 memory: 27035 grad_norm: 3.7270 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2298 loss: 1.2298 2022/08/09 04:57:33 - mmengine - INFO - Epoch(train) [23][1800/1879] lr: 2.0000e-02 eta: 14:42:53 time: 1.0593 data_time: 0.0553 memory: 27035 grad_norm: 3.7532 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3605 loss: 1.3605 2022/08/09 04:57:54 - mmengine - INFO - Epoch(train) [23][1820/1879] lr: 2.0000e-02 eta: 14:42:32 time: 1.0255 data_time: 0.0230 memory: 27035 grad_norm: 3.7723 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4745 loss: 1.4745 2022/08/09 04:58:14 - mmengine - INFO - Epoch(train) [23][1840/1879] lr: 2.0000e-02 eta: 14:42:10 time: 1.0321 data_time: 0.0238 memory: 27035 grad_norm: 3.6653 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5623 loss: 1.5623 2022/08/09 04:58:35 - mmengine - INFO - Epoch(train) [23][1860/1879] lr: 2.0000e-02 eta: 14:41:49 time: 1.0252 data_time: 0.0233 memory: 27035 grad_norm: 3.6440 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4663 loss: 1.4663 2022/08/09 04:58:54 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 04:58:54 - mmengine - INFO - Epoch(train) [23][1879/1879] lr: 2.0000e-02 eta: 14:41:49 time: 1.0076 data_time: 0.0226 memory: 27035 grad_norm: 3.8365 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.4340 loss: 1.4340 2022/08/09 04:59:11 - mmengine - INFO - Epoch(val) [23][20/155] eta: 0:01:55 time: 0.8525 data_time: 0.5811 memory: 3270 2022/08/09 04:59:21 - mmengine - INFO - Epoch(val) [23][40/155] eta: 0:00:55 time: 0.4823 data_time: 0.2123 memory: 3270 2022/08/09 04:59:35 - mmengine - INFO - Epoch(val) [23][60/155] eta: 0:01:08 time: 0.7251 data_time: 0.4531 memory: 3270 2022/08/09 04:59:47 - mmengine - INFO - Epoch(val) [23][80/155] eta: 0:00:42 time: 0.5716 data_time: 0.3014 memory: 3270 2022/08/09 04:59:59 - mmengine - INFO - Epoch(val) [23][100/155] eta: 0:00:35 time: 0.6380 data_time: 0.3691 memory: 3270 2022/08/09 05:00:16 - mmengine - INFO - Epoch(val) [23][120/155] eta: 0:00:29 time: 0.8443 data_time: 0.5559 memory: 3270 2022/08/09 05:00:29 - mmengine - INFO - Epoch(val) [23][140/155] eta: 0:00:09 time: 0.6239 data_time: 0.3537 memory: 3270 2022/08/09 05:00:40 - mmengine - INFO - Epoch(val) [23][155/155] acc/top1: 0.6318 acc/top5: 0.8587 acc/mean1: 0.6318 2022/08/09 05:01:06 - mmengine - INFO - Epoch(train) [24][20/1879] lr: 2.0000e-02 eta: 14:40:52 time: 1.3161 data_time: 0.2498 memory: 27035 grad_norm: 3.6600 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5635 loss: 1.5635 2022/08/09 05:01:27 - mmengine - INFO - Epoch(train) [24][40/1879] lr: 2.0000e-02 eta: 14:40:31 time: 1.0296 data_time: 0.0233 memory: 27035 grad_norm: 3.6235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3495 loss: 1.3495 2022/08/09 05:01:47 - mmengine - INFO - Epoch(train) [24][60/1879] lr: 2.0000e-02 eta: 14:40:09 time: 1.0262 data_time: 0.0237 memory: 27035 grad_norm: 3.6233 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4620 loss: 1.4620 2022/08/09 05:02:08 - mmengine - INFO - Epoch(train) [24][80/1879] lr: 2.0000e-02 eta: 14:39:48 time: 1.0324 data_time: 0.0243 memory: 27035 grad_norm: 3.6582 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4085 loss: 1.4085 2022/08/09 05:02:28 - mmengine - INFO - Epoch(train) [24][100/1879] lr: 2.0000e-02 eta: 14:39:27 time: 1.0262 data_time: 0.0238 memory: 27035 grad_norm: 3.6466 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3458 loss: 1.3458 2022/08/09 05:02:49 - mmengine - INFO - Epoch(train) [24][120/1879] lr: 2.0000e-02 eta: 14:39:06 time: 1.0282 data_time: 0.0226 memory: 27035 grad_norm: 3.6888 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3473 loss: 1.3473 2022/08/09 05:03:09 - mmengine - INFO - Epoch(train) [24][140/1879] lr: 2.0000e-02 eta: 14:38:45 time: 1.0276 data_time: 0.0236 memory: 27035 grad_norm: 3.6902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2597 loss: 1.2597 2022/08/09 05:03:30 - mmengine - INFO - Epoch(train) [24][160/1879] lr: 2.0000e-02 eta: 14:38:24 time: 1.0328 data_time: 0.0245 memory: 27035 grad_norm: 3.7912 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4718 loss: 1.4718 2022/08/09 05:03:51 - mmengine - INFO - Epoch(train) [24][180/1879] lr: 2.0000e-02 eta: 14:38:03 time: 1.0303 data_time: 0.0231 memory: 27035 grad_norm: 3.7531 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3190 loss: 1.3190 2022/08/09 05:04:11 - mmengine - INFO - Epoch(train) [24][200/1879] lr: 2.0000e-02 eta: 14:37:41 time: 1.0287 data_time: 0.0239 memory: 27035 grad_norm: 3.7599 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4239 loss: 1.4239 2022/08/09 05:04:32 - mmengine - INFO - Epoch(train) [24][220/1879] lr: 2.0000e-02 eta: 14:37:20 time: 1.0315 data_time: 0.0232 memory: 27035 grad_norm: 3.7778 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2936 loss: 1.2936 2022/08/09 05:04:53 - mmengine - INFO - Epoch(train) [24][240/1879] lr: 2.0000e-02 eta: 14:36:59 time: 1.0286 data_time: 0.0225 memory: 27035 grad_norm: 3.7924 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2421 loss: 1.2421 2022/08/09 05:05:13 - mmengine - INFO - Epoch(train) [24][260/1879] lr: 2.0000e-02 eta: 14:36:38 time: 1.0428 data_time: 0.0259 memory: 27035 grad_norm: 3.6836 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3250 loss: 1.3250 2022/08/09 05:05:34 - mmengine - INFO - Epoch(train) [24][280/1879] lr: 2.0000e-02 eta: 14:36:17 time: 1.0351 data_time: 0.0234 memory: 27035 grad_norm: 3.6462 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1566 loss: 1.1566 2022/08/09 05:05:55 - mmengine - INFO - Epoch(train) [24][300/1879] lr: 2.0000e-02 eta: 14:35:56 time: 1.0298 data_time: 0.0259 memory: 27035 grad_norm: 3.7601 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4781 loss: 1.4781 2022/08/09 05:06:15 - mmengine - INFO - Epoch(train) [24][320/1879] lr: 2.0000e-02 eta: 14:35:35 time: 1.0269 data_time: 0.0236 memory: 27035 grad_norm: 3.6375 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.2847 loss: 1.2847 2022/08/09 05:06:36 - mmengine - INFO - Epoch(train) [24][340/1879] lr: 2.0000e-02 eta: 14:35:14 time: 1.0249 data_time: 0.0232 memory: 27035 grad_norm: 3.7307 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4740 loss: 1.4740 2022/08/09 05:06:56 - mmengine - INFO - Epoch(train) [24][360/1879] lr: 2.0000e-02 eta: 14:34:53 time: 1.0360 data_time: 0.0235 memory: 27035 grad_norm: 3.7341 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4964 loss: 1.4964 2022/08/09 05:07:18 - mmengine - INFO - Epoch(train) [24][380/1879] lr: 2.0000e-02 eta: 14:34:32 time: 1.0565 data_time: 0.0230 memory: 27035 grad_norm: 3.8217 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3783 loss: 1.3783 2022/08/09 05:07:38 - mmengine - INFO - Epoch(train) [24][400/1879] lr: 2.0000e-02 eta: 14:34:11 time: 1.0397 data_time: 0.0307 memory: 27035 grad_norm: 3.5999 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1728 loss: 1.1728 2022/08/09 05:07:59 - mmengine - INFO - Epoch(train) [24][420/1879] lr: 2.0000e-02 eta: 14:33:50 time: 1.0291 data_time: 0.0230 memory: 27035 grad_norm: 3.6388 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4112 loss: 1.4112 2022/08/09 05:08:20 - mmengine - INFO - Epoch(train) [24][440/1879] lr: 2.0000e-02 eta: 14:33:29 time: 1.0289 data_time: 0.0232 memory: 27035 grad_norm: 3.7329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3828 loss: 1.3828 2022/08/09 05:08:40 - mmengine - INFO - Epoch(train) [24][460/1879] lr: 2.0000e-02 eta: 14:33:08 time: 1.0311 data_time: 0.0239 memory: 27035 grad_norm: 3.7511 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3941 loss: 1.3941 2022/08/09 05:09:01 - mmengine - INFO - Epoch(train) [24][480/1879] lr: 2.0000e-02 eta: 14:32:47 time: 1.0301 data_time: 0.0251 memory: 27035 grad_norm: 3.7397 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2366 loss: 1.2366 2022/08/09 05:09:21 - mmengine - INFO - Epoch(train) [24][500/1879] lr: 2.0000e-02 eta: 14:32:26 time: 1.0287 data_time: 0.0231 memory: 27035 grad_norm: 3.7215 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3051 loss: 1.3051 2022/08/09 05:09:42 - mmengine - INFO - Epoch(train) [24][520/1879] lr: 2.0000e-02 eta: 14:32:05 time: 1.0308 data_time: 0.0246 memory: 27035 grad_norm: 3.6681 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5435 loss: 1.5435 2022/08/09 05:10:03 - mmengine - INFO - Epoch(train) [24][540/1879] lr: 2.0000e-02 eta: 14:31:43 time: 1.0294 data_time: 0.0238 memory: 27035 grad_norm: 3.6668 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5499 loss: 1.5499 2022/08/09 05:10:25 - mmengine - INFO - Epoch(train) [24][560/1879] lr: 2.0000e-02 eta: 14:31:25 time: 1.1433 data_time: 0.1284 memory: 27035 grad_norm: 3.6446 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2523 loss: 1.2523 2022/08/09 05:10:46 - mmengine - INFO - Epoch(train) [24][580/1879] lr: 2.0000e-02 eta: 14:31:04 time: 1.0254 data_time: 0.0236 memory: 27035 grad_norm: 3.6511 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2956 loss: 1.2956 2022/08/09 05:11:07 - mmengine - INFO - Epoch(train) [24][600/1879] lr: 2.0000e-02 eta: 14:30:43 time: 1.0260 data_time: 0.0236 memory: 27035 grad_norm: 3.7179 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6368 loss: 1.6368 2022/08/09 05:11:27 - mmengine - INFO - Epoch(train) [24][620/1879] lr: 2.0000e-02 eta: 14:30:21 time: 1.0273 data_time: 0.0245 memory: 27035 grad_norm: 3.7517 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3656 loss: 1.3656 2022/08/09 05:11:48 - mmengine - INFO - Epoch(train) [24][640/1879] lr: 2.0000e-02 eta: 14:30:00 time: 1.0282 data_time: 0.0236 memory: 27035 grad_norm: 3.7175 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4047 loss: 1.4047 2022/08/09 05:12:08 - mmengine - INFO - Epoch(train) [24][660/1879] lr: 2.0000e-02 eta: 14:29:39 time: 1.0270 data_time: 0.0246 memory: 27035 grad_norm: 3.6915 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.3137 loss: 1.3137 2022/08/09 05:12:29 - mmengine - INFO - Epoch(train) [24][680/1879] lr: 2.0000e-02 eta: 14:29:18 time: 1.0275 data_time: 0.0243 memory: 27035 grad_norm: 3.6920 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2997 loss: 1.2997 2022/08/09 05:12:49 - mmengine - INFO - Epoch(train) [24][700/1879] lr: 2.0000e-02 eta: 14:28:57 time: 1.0282 data_time: 0.0250 memory: 27035 grad_norm: 3.6938 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2764 loss: 1.2764 2022/08/09 05:13:10 - mmengine - INFO - Epoch(train) [24][720/1879] lr: 2.0000e-02 eta: 14:28:36 time: 1.0305 data_time: 0.0241 memory: 27035 grad_norm: 3.7965 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4331 loss: 1.4331 2022/08/09 05:13:31 - mmengine - INFO - Epoch(train) [24][740/1879] lr: 2.0000e-02 eta: 14:28:15 time: 1.0328 data_time: 0.0241 memory: 27035 grad_norm: 3.6955 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3590 loss: 1.3590 2022/08/09 05:13:51 - mmengine - INFO - Epoch(train) [24][760/1879] lr: 2.0000e-02 eta: 14:27:53 time: 1.0312 data_time: 0.0241 memory: 27035 grad_norm: 3.7500 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4278 loss: 1.4278 2022/08/09 05:14:12 - mmengine - INFO - Epoch(train) [24][780/1879] lr: 2.0000e-02 eta: 14:27:32 time: 1.0308 data_time: 0.0240 memory: 27035 grad_norm: 3.8853 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4370 loss: 1.4370 2022/08/09 05:14:15 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 05:14:32 - mmengine - INFO - Epoch(train) [24][800/1879] lr: 2.0000e-02 eta: 14:27:11 time: 1.0268 data_time: 0.0242 memory: 27035 grad_norm: 3.6720 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3683 loss: 1.3683 2022/08/09 05:14:53 - mmengine - INFO - Epoch(train) [24][820/1879] lr: 2.0000e-02 eta: 14:26:50 time: 1.0275 data_time: 0.0244 memory: 27035 grad_norm: 3.6986 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4209 loss: 1.4209 2022/08/09 05:15:14 - mmengine - INFO - Epoch(train) [24][840/1879] lr: 2.0000e-02 eta: 14:26:29 time: 1.0382 data_time: 0.0262 memory: 27035 grad_norm: 3.7257 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4662 loss: 1.4662 2022/08/09 05:15:34 - mmengine - INFO - Epoch(train) [24][860/1879] lr: 2.0000e-02 eta: 14:26:08 time: 1.0331 data_time: 0.0228 memory: 27035 grad_norm: 3.7509 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3636 loss: 1.3636 2022/08/09 05:15:55 - mmengine - INFO - Epoch(train) [24][880/1879] lr: 2.0000e-02 eta: 14:25:47 time: 1.0352 data_time: 0.0233 memory: 27035 grad_norm: 3.6583 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5180 loss: 1.5180 2022/08/09 05:16:16 - mmengine - INFO - Epoch(train) [24][900/1879] lr: 2.0000e-02 eta: 14:25:26 time: 1.0294 data_time: 0.0239 memory: 27035 grad_norm: 3.7575 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5139 loss: 1.5139 2022/08/09 05:16:36 - mmengine - INFO - Epoch(train) [24][920/1879] lr: 2.0000e-02 eta: 14:25:05 time: 1.0293 data_time: 0.0235 memory: 27035 grad_norm: 3.7822 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3338 loss: 1.3338 2022/08/09 05:16:57 - mmengine - INFO - Epoch(train) [24][940/1879] lr: 2.0000e-02 eta: 14:24:44 time: 1.0290 data_time: 0.0242 memory: 27035 grad_norm: 3.8160 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3053 loss: 1.3053 2022/08/09 05:17:18 - mmengine - INFO - Epoch(train) [24][960/1879] lr: 2.0000e-02 eta: 14:24:23 time: 1.0375 data_time: 0.0322 memory: 27035 grad_norm: 3.8111 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3740 loss: 1.3740 2022/08/09 05:17:38 - mmengine - INFO - Epoch(train) [24][980/1879] lr: 2.0000e-02 eta: 14:24:02 time: 1.0353 data_time: 0.0296 memory: 27035 grad_norm: 3.7350 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5678 loss: 1.5678 2022/08/09 05:17:59 - mmengine - INFO - Epoch(train) [24][1000/1879] lr: 2.0000e-02 eta: 14:23:41 time: 1.0409 data_time: 0.0373 memory: 27035 grad_norm: 3.8392 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4228 loss: 1.4228 2022/08/09 05:18:20 - mmengine - INFO - Epoch(train) [24][1020/1879] lr: 2.0000e-02 eta: 14:23:20 time: 1.0344 data_time: 0.0309 memory: 27035 grad_norm: 3.6856 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.2987 loss: 1.2987 2022/08/09 05:18:40 - mmengine - INFO - Epoch(train) [24][1040/1879] lr: 2.0000e-02 eta: 14:22:59 time: 1.0288 data_time: 0.0257 memory: 27035 grad_norm: 3.6821 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4650 loss: 1.4650 2022/08/09 05:19:01 - mmengine - INFO - Epoch(train) [24][1060/1879] lr: 2.0000e-02 eta: 14:22:38 time: 1.0314 data_time: 0.0253 memory: 27035 grad_norm: 3.6581 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3160 loss: 1.3160 2022/08/09 05:19:22 - mmengine - INFO - Epoch(train) [24][1080/1879] lr: 2.0000e-02 eta: 14:22:16 time: 1.0290 data_time: 0.0247 memory: 27035 grad_norm: 3.7374 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.4427 loss: 1.4427 2022/08/09 05:19:42 - mmengine - INFO - Epoch(train) [24][1100/1879] lr: 2.0000e-02 eta: 14:21:55 time: 1.0301 data_time: 0.0242 memory: 27035 grad_norm: 3.7324 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4577 loss: 1.4577 2022/08/09 05:20:03 - mmengine - INFO - Epoch(train) [24][1120/1879] lr: 2.0000e-02 eta: 14:21:34 time: 1.0276 data_time: 0.0244 memory: 27035 grad_norm: 3.8014 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4785 loss: 1.4785 2022/08/09 05:20:24 - mmengine - INFO - Epoch(train) [24][1140/1879] lr: 2.0000e-02 eta: 14:21:14 time: 1.0652 data_time: 0.0505 memory: 27035 grad_norm: 3.7297 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3651 loss: 1.3651 2022/08/09 05:20:45 - mmengine - INFO - Epoch(train) [24][1160/1879] lr: 2.0000e-02 eta: 14:20:53 time: 1.0300 data_time: 0.0239 memory: 27035 grad_norm: 3.7433 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4203 loss: 1.4203 2022/08/09 05:21:05 - mmengine - INFO - Epoch(train) [24][1180/1879] lr: 2.0000e-02 eta: 14:20:32 time: 1.0286 data_time: 0.0256 memory: 27035 grad_norm: 3.6771 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4075 loss: 1.4075 2022/08/09 05:21:26 - mmengine - INFO - Epoch(train) [24][1200/1879] lr: 2.0000e-02 eta: 14:20:11 time: 1.0372 data_time: 0.0274 memory: 27035 grad_norm: 3.7149 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4456 loss: 1.4456 2022/08/09 05:21:47 - mmengine - INFO - Epoch(train) [24][1220/1879] lr: 2.0000e-02 eta: 14:19:50 time: 1.0293 data_time: 0.0244 memory: 27035 grad_norm: 3.5874 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2299 loss: 1.2299 2022/08/09 05:22:07 - mmengine - INFO - Epoch(train) [24][1240/1879] lr: 2.0000e-02 eta: 14:19:28 time: 1.0304 data_time: 0.0243 memory: 27035 grad_norm: 3.8087 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4457 loss: 1.4457 2022/08/09 05:22:28 - mmengine - INFO - Epoch(train) [24][1260/1879] lr: 2.0000e-02 eta: 14:19:07 time: 1.0300 data_time: 0.0242 memory: 27035 grad_norm: 3.7192 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3520 loss: 1.3520 2022/08/09 05:22:49 - mmengine - INFO - Epoch(train) [24][1280/1879] lr: 2.0000e-02 eta: 14:18:46 time: 1.0332 data_time: 0.0243 memory: 27035 grad_norm: 3.7906 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6028 loss: 1.6028 2022/08/09 05:23:09 - mmengine - INFO - Epoch(train) [24][1300/1879] lr: 2.0000e-02 eta: 14:18:25 time: 1.0283 data_time: 0.0247 memory: 27035 grad_norm: 3.7395 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5593 loss: 1.5593 2022/08/09 05:23:30 - mmengine - INFO - Epoch(train) [24][1320/1879] lr: 2.0000e-02 eta: 14:18:04 time: 1.0412 data_time: 0.0237 memory: 27035 grad_norm: 3.7051 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3994 loss: 1.3994 2022/08/09 05:23:51 - mmengine - INFO - Epoch(train) [24][1340/1879] lr: 2.0000e-02 eta: 14:17:43 time: 1.0307 data_time: 0.0241 memory: 27035 grad_norm: 3.7941 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4283 loss: 1.4283 2022/08/09 05:24:11 - mmengine - INFO - Epoch(train) [24][1360/1879] lr: 2.0000e-02 eta: 14:17:22 time: 1.0286 data_time: 0.0242 memory: 27035 grad_norm: 3.7085 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5652 loss: 1.5652 2022/08/09 05:24:32 - mmengine - INFO - Epoch(train) [24][1380/1879] lr: 2.0000e-02 eta: 14:17:01 time: 1.0284 data_time: 0.0255 memory: 27035 grad_norm: 3.7521 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5302 loss: 1.5302 2022/08/09 05:24:52 - mmengine - INFO - Epoch(train) [24][1400/1879] lr: 2.0000e-02 eta: 14:16:40 time: 1.0341 data_time: 0.0314 memory: 27035 grad_norm: 3.7071 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4437 loss: 1.4437 2022/08/09 05:25:13 - mmengine - INFO - Epoch(train) [24][1420/1879] lr: 2.0000e-02 eta: 14:16:19 time: 1.0375 data_time: 0.0246 memory: 27035 grad_norm: 3.7428 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6095 loss: 1.6095 2022/08/09 05:25:34 - mmengine - INFO - Epoch(train) [24][1440/1879] lr: 2.0000e-02 eta: 14:15:58 time: 1.0303 data_time: 0.0248 memory: 27035 grad_norm: 3.7264 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3723 loss: 1.3723 2022/08/09 05:25:54 - mmengine - INFO - Epoch(train) [24][1460/1879] lr: 2.0000e-02 eta: 14:15:37 time: 1.0333 data_time: 0.0237 memory: 27035 grad_norm: 3.7640 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5891 loss: 1.5891 2022/08/09 05:26:15 - mmengine - INFO - Epoch(train) [24][1480/1879] lr: 2.0000e-02 eta: 14:15:16 time: 1.0301 data_time: 0.0233 memory: 27035 grad_norm: 3.6513 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3221 loss: 1.3221 2022/08/09 05:26:36 - mmengine - INFO - Epoch(train) [24][1500/1879] lr: 2.0000e-02 eta: 14:14:55 time: 1.0298 data_time: 0.0239 memory: 27035 grad_norm: 3.7382 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3362 loss: 1.3362 2022/08/09 05:26:56 - mmengine - INFO - Epoch(train) [24][1520/1879] lr: 2.0000e-02 eta: 14:14:34 time: 1.0319 data_time: 0.0241 memory: 27035 grad_norm: 3.8502 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6513 loss: 1.6513 2022/08/09 05:27:17 - mmengine - INFO - Epoch(train) [24][1540/1879] lr: 2.0000e-02 eta: 14:14:13 time: 1.0554 data_time: 0.0248 memory: 27035 grad_norm: 3.6954 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3095 loss: 1.3095 2022/08/09 05:27:38 - mmengine - INFO - Epoch(train) [24][1560/1879] lr: 2.0000e-02 eta: 14:13:52 time: 1.0295 data_time: 0.0253 memory: 27035 grad_norm: 3.7267 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2690 loss: 1.2690 2022/08/09 05:27:59 - mmengine - INFO - Epoch(train) [24][1580/1879] lr: 2.0000e-02 eta: 14:13:31 time: 1.0275 data_time: 0.0216 memory: 27035 grad_norm: 3.7597 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3537 loss: 1.3537 2022/08/09 05:28:19 - mmengine - INFO - Epoch(train) [24][1600/1879] lr: 2.0000e-02 eta: 14:13:10 time: 1.0371 data_time: 0.0296 memory: 27035 grad_norm: 3.7365 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4308 loss: 1.4308 2022/08/09 05:28:40 - mmengine - INFO - Epoch(train) [24][1620/1879] lr: 2.0000e-02 eta: 14:12:49 time: 1.0265 data_time: 0.0244 memory: 27035 grad_norm: 3.7898 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3403 loss: 1.3403 2022/08/09 05:29:00 - mmengine - INFO - Epoch(train) [24][1640/1879] lr: 2.0000e-02 eta: 14:12:28 time: 1.0297 data_time: 0.0248 memory: 27035 grad_norm: 3.7208 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3633 loss: 1.3633 2022/08/09 05:29:21 - mmengine - INFO - Epoch(train) [24][1660/1879] lr: 2.0000e-02 eta: 14:12:06 time: 1.0285 data_time: 0.0240 memory: 27035 grad_norm: 3.7843 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3606 loss: 1.3606 2022/08/09 05:29:42 - mmengine - INFO - Epoch(train) [24][1680/1879] lr: 2.0000e-02 eta: 14:11:45 time: 1.0295 data_time: 0.0245 memory: 27035 grad_norm: 3.6795 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4233 loss: 1.4233 2022/08/09 05:30:02 - mmengine - INFO - Epoch(train) [24][1700/1879] lr: 2.0000e-02 eta: 14:11:24 time: 1.0307 data_time: 0.0245 memory: 27035 grad_norm: 3.7650 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3782 loss: 1.3782 2022/08/09 05:30:23 - mmengine - INFO - Epoch(train) [24][1720/1879] lr: 2.0000e-02 eta: 14:11:03 time: 1.0382 data_time: 0.0316 memory: 27035 grad_norm: 3.7394 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4148 loss: 1.4148 2022/08/09 05:30:44 - mmengine - INFO - Epoch(train) [24][1740/1879] lr: 2.0000e-02 eta: 14:10:42 time: 1.0322 data_time: 0.0247 memory: 27035 grad_norm: 3.7053 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3490 loss: 1.3490 2022/08/09 05:31:04 - mmengine - INFO - Epoch(train) [24][1760/1879] lr: 2.0000e-02 eta: 14:10:21 time: 1.0334 data_time: 0.0248 memory: 27035 grad_norm: 3.6246 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2191 loss: 1.2191 2022/08/09 05:31:25 - mmengine - INFO - Epoch(train) [24][1780/1879] lr: 2.0000e-02 eta: 14:10:00 time: 1.0286 data_time: 0.0239 memory: 27035 grad_norm: 3.8383 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4355 loss: 1.4355 2022/08/09 05:31:28 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 05:31:46 - mmengine - INFO - Epoch(train) [24][1800/1879] lr: 2.0000e-02 eta: 14:09:39 time: 1.0309 data_time: 0.0253 memory: 27035 grad_norm: 3.5780 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4733 loss: 1.4733 2022/08/09 05:32:06 - mmengine - INFO - Epoch(train) [24][1820/1879] lr: 2.0000e-02 eta: 14:09:18 time: 1.0315 data_time: 0.0253 memory: 27035 grad_norm: 3.7731 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4007 loss: 1.4007 2022/08/09 05:32:27 - mmengine - INFO - Epoch(train) [24][1840/1879] lr: 2.0000e-02 eta: 14:08:57 time: 1.0356 data_time: 0.0266 memory: 27035 grad_norm: 3.7252 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4172 loss: 1.4172 2022/08/09 05:32:48 - mmengine - INFO - Epoch(train) [24][1860/1879] lr: 2.0000e-02 eta: 14:08:36 time: 1.0414 data_time: 0.0320 memory: 27035 grad_norm: 3.7494 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3152 loss: 1.3152 2022/08/09 05:33:07 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 05:33:07 - mmengine - INFO - Epoch(train) [24][1879/1879] lr: 2.0000e-02 eta: 14:08:36 time: 1.0020 data_time: 0.0235 memory: 27035 grad_norm: 3.9183 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.5191 loss: 1.5191 2022/08/09 05:33:07 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/08/09 05:33:25 - mmengine - INFO - Epoch(val) [24][20/155] eta: 0:01:54 time: 0.8457 data_time: 0.5752 memory: 3270 2022/08/09 05:33:36 - mmengine - INFO - Epoch(val) [24][40/155] eta: 0:01:00 time: 0.5226 data_time: 0.2543 memory: 3270 2022/08/09 05:33:50 - mmengine - INFO - Epoch(val) [24][60/155] eta: 0:01:07 time: 0.7137 data_time: 0.4456 memory: 3270 2022/08/09 05:34:01 - mmengine - INFO - Epoch(val) [24][80/155] eta: 0:00:41 time: 0.5579 data_time: 0.2855 memory: 3270 2022/08/09 05:34:15 - mmengine - INFO - Epoch(val) [24][100/155] eta: 0:00:38 time: 0.7053 data_time: 0.4350 memory: 3270 2022/08/09 05:34:27 - mmengine - INFO - Epoch(val) [24][120/155] eta: 0:00:20 time: 0.5928 data_time: 0.3241 memory: 3270 2022/08/09 05:34:42 - mmengine - INFO - Epoch(val) [24][140/155] eta: 0:00:11 time: 0.7521 data_time: 0.4880 memory: 3270 2022/08/09 05:34:52 - mmengine - INFO - Epoch(val) [24][155/155] acc/top1: 0.6269 acc/top5: 0.8520 acc/mean1: 0.6268 2022/08/09 05:35:22 - mmengine - INFO - Epoch(train) [25][20/1879] lr: 2.0000e-02 eta: 14:07:44 time: 1.5046 data_time: 0.2988 memory: 27035 grad_norm: 3.6084 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.2818 loss: 1.2818 2022/08/09 05:35:43 - mmengine - INFO - Epoch(train) [25][40/1879] lr: 2.0000e-02 eta: 14:07:23 time: 1.0375 data_time: 0.0312 memory: 27035 grad_norm: 3.7079 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3629 loss: 1.3629 2022/08/09 05:36:03 - mmengine - INFO - Epoch(train) [25][60/1879] lr: 2.0000e-02 eta: 14:07:02 time: 1.0279 data_time: 0.0255 memory: 27035 grad_norm: 3.7586 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4184 loss: 1.4184 2022/08/09 05:36:24 - mmengine - INFO - Epoch(train) [25][80/1879] lr: 2.0000e-02 eta: 14:06:41 time: 1.0285 data_time: 0.0241 memory: 27035 grad_norm: 3.7703 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3639 loss: 1.3639 2022/08/09 05:36:45 - mmengine - INFO - Epoch(train) [25][100/1879] lr: 2.0000e-02 eta: 14:06:20 time: 1.0279 data_time: 0.0245 memory: 27035 grad_norm: 3.6817 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4681 loss: 1.4681 2022/08/09 05:37:05 - mmengine - INFO - Epoch(train) [25][120/1879] lr: 2.0000e-02 eta: 14:05:59 time: 1.0298 data_time: 0.0240 memory: 27035 grad_norm: 3.7562 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1047 loss: 1.1047 2022/08/09 05:37:26 - mmengine - INFO - Epoch(train) [25][140/1879] lr: 2.0000e-02 eta: 14:05:38 time: 1.0349 data_time: 0.0248 memory: 27035 grad_norm: 3.8389 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3177 loss: 1.3177 2022/08/09 05:37:46 - mmengine - INFO - Epoch(train) [25][160/1879] lr: 2.0000e-02 eta: 14:05:17 time: 1.0313 data_time: 0.0238 memory: 27035 grad_norm: 3.7783 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4379 loss: 1.4379 2022/08/09 05:38:07 - mmengine - INFO - Epoch(train) [25][180/1879] lr: 2.0000e-02 eta: 14:04:56 time: 1.0309 data_time: 0.0243 memory: 27035 grad_norm: 3.7004 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2863 loss: 1.2863 2022/08/09 05:38:28 - mmengine - INFO - Epoch(train) [25][200/1879] lr: 2.0000e-02 eta: 14:04:35 time: 1.0274 data_time: 0.0252 memory: 27035 grad_norm: 3.6882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2326 loss: 1.2326 2022/08/09 05:38:48 - mmengine - INFO - Epoch(train) [25][220/1879] lr: 2.0000e-02 eta: 14:04:13 time: 1.0265 data_time: 0.0251 memory: 27035 grad_norm: 3.8473 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2338 loss: 1.2338 2022/08/09 05:39:09 - mmengine - INFO - Epoch(train) [25][240/1879] lr: 2.0000e-02 eta: 14:03:52 time: 1.0259 data_time: 0.0254 memory: 27035 grad_norm: 3.6334 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4013 loss: 1.4013 2022/08/09 05:39:29 - mmengine - INFO - Epoch(train) [25][260/1879] lr: 2.0000e-02 eta: 14:03:31 time: 1.0315 data_time: 0.0247 memory: 27035 grad_norm: 3.7659 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2250 loss: 1.2250 2022/08/09 05:39:50 - mmengine - INFO - Epoch(train) [25][280/1879] lr: 2.0000e-02 eta: 14:03:10 time: 1.0296 data_time: 0.0240 memory: 27035 grad_norm: 3.7255 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5046 loss: 1.5046 2022/08/09 05:40:11 - mmengine - INFO - Epoch(train) [25][300/1879] lr: 2.0000e-02 eta: 14:02:49 time: 1.0399 data_time: 0.0262 memory: 27035 grad_norm: 3.7871 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4732 loss: 1.4732 2022/08/09 05:40:31 - mmengine - INFO - Epoch(train) [25][320/1879] lr: 2.0000e-02 eta: 14:02:28 time: 1.0367 data_time: 0.0266 memory: 27035 grad_norm: 3.6671 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2017 loss: 1.2017 2022/08/09 05:40:52 - mmengine - INFO - Epoch(train) [25][340/1879] lr: 2.0000e-02 eta: 14:02:07 time: 1.0284 data_time: 0.0243 memory: 27035 grad_norm: 3.5750 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3063 loss: 1.3063 2022/08/09 05:41:13 - mmengine - INFO - Epoch(train) [25][360/1879] lr: 2.0000e-02 eta: 14:01:46 time: 1.0307 data_time: 0.0268 memory: 27035 grad_norm: 3.6496 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2988 loss: 1.2988 2022/08/09 05:41:33 - mmengine - INFO - Epoch(train) [25][380/1879] lr: 2.0000e-02 eta: 14:01:25 time: 1.0287 data_time: 0.0248 memory: 27035 grad_norm: 3.6576 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3030 loss: 1.3030 2022/08/09 05:41:54 - mmengine - INFO - Epoch(train) [25][400/1879] lr: 2.0000e-02 eta: 14:01:04 time: 1.0272 data_time: 0.0244 memory: 27035 grad_norm: 3.5302 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1726 loss: 1.1726 2022/08/09 05:42:14 - mmengine - INFO - Epoch(train) [25][420/1879] lr: 2.0000e-02 eta: 14:00:43 time: 1.0274 data_time: 0.0251 memory: 27035 grad_norm: 3.6262 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3285 loss: 1.3285 2022/08/09 05:42:35 - mmengine - INFO - Epoch(train) [25][440/1879] lr: 2.0000e-02 eta: 14:00:22 time: 1.0275 data_time: 0.0252 memory: 27035 grad_norm: 3.6956 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2974 loss: 1.2974 2022/08/09 05:42:56 - mmengine - INFO - Epoch(train) [25][460/1879] lr: 2.0000e-02 eta: 14:00:01 time: 1.0329 data_time: 0.0253 memory: 27035 grad_norm: 3.7087 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2845 loss: 1.2845 2022/08/09 05:43:16 - mmengine - INFO - Epoch(train) [25][480/1879] lr: 2.0000e-02 eta: 13:59:40 time: 1.0278 data_time: 0.0256 memory: 27035 grad_norm: 3.7340 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2896 loss: 1.2896 2022/08/09 05:43:37 - mmengine - INFO - Epoch(train) [25][500/1879] lr: 2.0000e-02 eta: 13:59:19 time: 1.0351 data_time: 0.0241 memory: 27035 grad_norm: 3.7556 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.5021 loss: 1.5021 2022/08/09 05:43:57 - mmengine - INFO - Epoch(train) [25][520/1879] lr: 2.0000e-02 eta: 13:58:57 time: 1.0265 data_time: 0.0243 memory: 27035 grad_norm: 3.7090 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4483 loss: 1.4483 2022/08/09 05:44:18 - mmengine - INFO - Epoch(train) [25][540/1879] lr: 2.0000e-02 eta: 13:58:36 time: 1.0290 data_time: 0.0239 memory: 27035 grad_norm: 3.6478 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1724 loss: 1.1724 2022/08/09 05:44:39 - mmengine - INFO - Epoch(train) [25][560/1879] lr: 2.0000e-02 eta: 13:58:15 time: 1.0329 data_time: 0.0281 memory: 27035 grad_norm: 3.6943 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3408 loss: 1.3408 2022/08/09 05:44:59 - mmengine - INFO - Epoch(train) [25][580/1879] lr: 2.0000e-02 eta: 13:57:54 time: 1.0297 data_time: 0.0239 memory: 27035 grad_norm: 3.8801 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4239 loss: 1.4239 2022/08/09 05:45:20 - mmengine - INFO - Epoch(train) [25][600/1879] lr: 2.0000e-02 eta: 13:57:34 time: 1.0525 data_time: 0.0257 memory: 27035 grad_norm: 3.7208 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4795 loss: 1.4795 2022/08/09 05:45:41 - mmengine - INFO - Epoch(train) [25][620/1879] lr: 2.0000e-02 eta: 13:57:13 time: 1.0367 data_time: 0.0246 memory: 27035 grad_norm: 3.7502 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3806 loss: 1.3806 2022/08/09 05:46:02 - mmengine - INFO - Epoch(train) [25][640/1879] lr: 2.0000e-02 eta: 13:56:52 time: 1.0287 data_time: 0.0257 memory: 27035 grad_norm: 3.6458 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3335 loss: 1.3335 2022/08/09 05:46:22 - mmengine - INFO - Epoch(train) [25][660/1879] lr: 2.0000e-02 eta: 13:56:31 time: 1.0300 data_time: 0.0248 memory: 27035 grad_norm: 3.7530 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5023 loss: 1.5023 2022/08/09 05:46:43 - mmengine - INFO - Epoch(train) [25][680/1879] lr: 2.0000e-02 eta: 13:56:10 time: 1.0322 data_time: 0.0241 memory: 27035 grad_norm: 3.7664 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1474 loss: 1.1474 2022/08/09 05:47:03 - mmengine - INFO - Epoch(train) [25][700/1879] lr: 2.0000e-02 eta: 13:55:48 time: 1.0284 data_time: 0.0242 memory: 27035 grad_norm: 3.7538 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4622 loss: 1.4622 2022/08/09 05:47:25 - mmengine - INFO - Epoch(train) [25][720/1879] lr: 2.0000e-02 eta: 13:55:28 time: 1.0640 data_time: 0.0253 memory: 27035 grad_norm: 3.7150 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2730 loss: 1.2730 2022/08/09 05:47:45 - mmengine - INFO - Epoch(train) [25][740/1879] lr: 2.0000e-02 eta: 13:55:07 time: 1.0284 data_time: 0.0252 memory: 27035 grad_norm: 3.7025 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3289 loss: 1.3289 2022/08/09 05:48:06 - mmengine - INFO - Epoch(train) [25][760/1879] lr: 2.0000e-02 eta: 13:54:46 time: 1.0269 data_time: 0.0249 memory: 27035 grad_norm: 3.7863 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6046 loss: 1.6046 2022/08/09 05:48:26 - mmengine - INFO - Epoch(train) [25][780/1879] lr: 2.0000e-02 eta: 13:54:25 time: 1.0308 data_time: 0.0250 memory: 27035 grad_norm: 3.7358 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4301 loss: 1.4301 2022/08/09 05:48:47 - mmengine - INFO - Epoch(train) [25][800/1879] lr: 2.0000e-02 eta: 13:54:04 time: 1.0339 data_time: 0.0305 memory: 27035 grad_norm: 3.7583 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5169 loss: 1.5169 2022/08/09 05:49:08 - mmengine - INFO - Epoch(train) [25][820/1879] lr: 2.0000e-02 eta: 13:53:43 time: 1.0406 data_time: 0.0324 memory: 27035 grad_norm: 3.6240 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1303 loss: 1.1303 2022/08/09 05:49:29 - mmengine - INFO - Epoch(train) [25][840/1879] lr: 2.0000e-02 eta: 13:53:22 time: 1.0319 data_time: 0.0267 memory: 27035 grad_norm: 3.7183 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4498 loss: 1.4498 2022/08/09 05:49:49 - mmengine - INFO - Epoch(train) [25][860/1879] lr: 2.0000e-02 eta: 13:53:01 time: 1.0310 data_time: 0.0250 memory: 27035 grad_norm: 3.6646 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2620 loss: 1.2620 2022/08/09 05:50:10 - mmengine - INFO - Epoch(train) [25][880/1879] lr: 2.0000e-02 eta: 13:52:40 time: 1.0370 data_time: 0.0268 memory: 27035 grad_norm: 3.7676 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3188 loss: 1.3188 2022/08/09 05:50:31 - mmengine - INFO - Epoch(train) [25][900/1879] lr: 2.0000e-02 eta: 13:52:19 time: 1.0338 data_time: 0.0260 memory: 27035 grad_norm: 3.7742 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5289 loss: 1.5289 2022/08/09 05:50:35 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 05:50:51 - mmengine - INFO - Epoch(train) [25][920/1879] lr: 2.0000e-02 eta: 13:51:58 time: 1.0299 data_time: 0.0244 memory: 27035 grad_norm: 3.7655 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4285 loss: 1.4285 2022/08/09 05:51:12 - mmengine - INFO - Epoch(train) [25][940/1879] lr: 2.0000e-02 eta: 13:51:37 time: 1.0285 data_time: 0.0249 memory: 27035 grad_norm: 3.7377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3905 loss: 1.3905 2022/08/09 05:51:33 - mmengine - INFO - Epoch(train) [25][960/1879] lr: 2.0000e-02 eta: 13:51:16 time: 1.0333 data_time: 0.0239 memory: 27035 grad_norm: 3.7347 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2976 loss: 1.2976 2022/08/09 05:51:53 - mmengine - INFO - Epoch(train) [25][980/1879] lr: 2.0000e-02 eta: 13:50:55 time: 1.0308 data_time: 0.0264 memory: 27035 grad_norm: 3.6819 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3492 loss: 1.3492 2022/08/09 05:52:14 - mmengine - INFO - Epoch(train) [25][1000/1879] lr: 2.0000e-02 eta: 13:50:34 time: 1.0301 data_time: 0.0246 memory: 27035 grad_norm: 3.7877 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5412 loss: 1.5412 2022/08/09 05:52:34 - mmengine - INFO - Epoch(train) [25][1020/1879] lr: 2.0000e-02 eta: 13:50:13 time: 1.0312 data_time: 0.0249 memory: 27035 grad_norm: 3.7946 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3368 loss: 1.3368 2022/08/09 05:52:55 - mmengine - INFO - Epoch(train) [25][1040/1879] lr: 2.0000e-02 eta: 13:49:52 time: 1.0309 data_time: 0.0243 memory: 27035 grad_norm: 3.8646 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3908 loss: 1.3908 2022/08/09 05:53:16 - mmengine - INFO - Epoch(train) [25][1060/1879] lr: 2.0000e-02 eta: 13:49:31 time: 1.0328 data_time: 0.0245 memory: 27035 grad_norm: 3.7670 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5530 loss: 1.5530 2022/08/09 05:53:36 - mmengine - INFO - Epoch(train) [25][1080/1879] lr: 2.0000e-02 eta: 13:49:10 time: 1.0277 data_time: 0.0237 memory: 27035 grad_norm: 3.7067 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3755 loss: 1.3755 2022/08/09 05:53:57 - mmengine - INFO - Epoch(train) [25][1100/1879] lr: 2.0000e-02 eta: 13:48:48 time: 1.0289 data_time: 0.0254 memory: 27035 grad_norm: 3.8017 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4292 loss: 1.4292 2022/08/09 05:54:18 - mmengine - INFO - Epoch(train) [25][1120/1879] lr: 2.0000e-02 eta: 13:48:27 time: 1.0334 data_time: 0.0304 memory: 27035 grad_norm: 3.6626 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4766 loss: 1.4766 2022/08/09 05:54:38 - mmengine - INFO - Epoch(train) [25][1140/1879] lr: 2.0000e-02 eta: 13:48:06 time: 1.0295 data_time: 0.0253 memory: 27035 grad_norm: 3.6215 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2906 loss: 1.2906 2022/08/09 05:54:59 - mmengine - INFO - Epoch(train) [25][1160/1879] lr: 2.0000e-02 eta: 13:47:45 time: 1.0311 data_time: 0.0246 memory: 27035 grad_norm: 3.7859 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4065 loss: 1.4065 2022/08/09 05:55:20 - mmengine - INFO - Epoch(train) [25][1180/1879] lr: 2.0000e-02 eta: 13:47:25 time: 1.0433 data_time: 0.0301 memory: 27035 grad_norm: 3.8969 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2876 loss: 1.2876 2022/08/09 05:55:40 - mmengine - INFO - Epoch(train) [25][1200/1879] lr: 2.0000e-02 eta: 13:47:03 time: 1.0287 data_time: 0.0228 memory: 27035 grad_norm: 3.6957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3757 loss: 1.3757 2022/08/09 05:56:01 - mmengine - INFO - Epoch(train) [25][1220/1879] lr: 2.0000e-02 eta: 13:46:42 time: 1.0336 data_time: 0.0243 memory: 27035 grad_norm: 3.7451 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4911 loss: 1.4911 2022/08/09 05:56:21 - mmengine - INFO - Epoch(train) [25][1240/1879] lr: 2.0000e-02 eta: 13:46:21 time: 1.0260 data_time: 0.0243 memory: 27035 grad_norm: 3.7996 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4485 loss: 1.4485 2022/08/09 05:56:42 - mmengine - INFO - Epoch(train) [25][1260/1879] lr: 2.0000e-02 eta: 13:46:00 time: 1.0303 data_time: 0.0243 memory: 27035 grad_norm: 3.7577 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3187 loss: 1.3187 2022/08/09 05:57:03 - mmengine - INFO - Epoch(train) [25][1280/1879] lr: 2.0000e-02 eta: 13:45:39 time: 1.0274 data_time: 0.0235 memory: 27035 grad_norm: 3.7915 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6180 loss: 1.6180 2022/08/09 05:57:24 - mmengine - INFO - Epoch(train) [25][1300/1879] lr: 2.0000e-02 eta: 13:45:19 time: 1.0648 data_time: 0.0238 memory: 27035 grad_norm: 3.8015 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5488 loss: 1.5488 2022/08/09 05:57:44 - mmengine - INFO - Epoch(train) [25][1320/1879] lr: 2.0000e-02 eta: 13:44:58 time: 1.0307 data_time: 0.0243 memory: 27035 grad_norm: 3.7967 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4615 loss: 1.4615 2022/08/09 05:58:05 - mmengine - INFO - Epoch(train) [25][1340/1879] lr: 2.0000e-02 eta: 13:44:37 time: 1.0332 data_time: 0.0249 memory: 27035 grad_norm: 3.7149 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4548 loss: 1.4548 2022/08/09 05:58:26 - mmengine - INFO - Epoch(train) [25][1360/1879] lr: 2.0000e-02 eta: 13:44:16 time: 1.0266 data_time: 0.0243 memory: 27035 grad_norm: 3.6028 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3946 loss: 1.3946 2022/08/09 05:58:46 - mmengine - INFO - Epoch(train) [25][1380/1879] lr: 2.0000e-02 eta: 13:43:55 time: 1.0289 data_time: 0.0241 memory: 27035 grad_norm: 3.7106 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3758 loss: 1.3758 2022/08/09 05:59:07 - mmengine - INFO - Epoch(train) [25][1400/1879] lr: 2.0000e-02 eta: 13:43:34 time: 1.0296 data_time: 0.0237 memory: 27035 grad_norm: 3.7688 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4508 loss: 1.4508 2022/08/09 05:59:27 - mmengine - INFO - Epoch(train) [25][1420/1879] lr: 2.0000e-02 eta: 13:43:12 time: 1.0293 data_time: 0.0240 memory: 27035 grad_norm: 3.6441 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4006 loss: 1.4006 2022/08/09 05:59:48 - mmengine - INFO - Epoch(train) [25][1440/1879] lr: 2.0000e-02 eta: 13:42:51 time: 1.0300 data_time: 0.0238 memory: 27035 grad_norm: 3.6368 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3029 loss: 1.3029 2022/08/09 06:00:09 - mmengine - INFO - Epoch(train) [25][1460/1879] lr: 2.0000e-02 eta: 13:42:31 time: 1.0670 data_time: 0.0272 memory: 27035 grad_norm: 3.7749 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1942 loss: 1.1942 2022/08/09 06:00:30 - mmengine - INFO - Epoch(train) [25][1480/1879] lr: 2.0000e-02 eta: 13:42:10 time: 1.0413 data_time: 0.0264 memory: 27035 grad_norm: 3.7821 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4328 loss: 1.4328 2022/08/09 06:00:51 - mmengine - INFO - Epoch(train) [25][1500/1879] lr: 2.0000e-02 eta: 13:41:49 time: 1.0280 data_time: 0.0249 memory: 27035 grad_norm: 3.6551 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3117 loss: 1.3117 2022/08/09 06:01:12 - mmengine - INFO - Epoch(train) [25][1520/1879] lr: 2.0000e-02 eta: 13:41:28 time: 1.0387 data_time: 0.0296 memory: 27035 grad_norm: 3.7196 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2627 loss: 1.2627 2022/08/09 06:01:32 - mmengine - INFO - Epoch(train) [25][1540/1879] lr: 2.0000e-02 eta: 13:41:07 time: 1.0280 data_time: 0.0245 memory: 27035 grad_norm: 3.7113 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4016 loss: 1.4016 2022/08/09 06:01:53 - mmengine - INFO - Epoch(train) [25][1560/1879] lr: 2.0000e-02 eta: 13:40:46 time: 1.0278 data_time: 0.0230 memory: 27035 grad_norm: 3.6157 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3799 loss: 1.3799 2022/08/09 06:02:13 - mmengine - INFO - Epoch(train) [25][1580/1879] lr: 2.0000e-02 eta: 13:40:25 time: 1.0298 data_time: 0.0246 memory: 27035 grad_norm: 3.6800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4457 loss: 1.4457 2022/08/09 06:02:34 - mmengine - INFO - Epoch(train) [25][1600/1879] lr: 2.0000e-02 eta: 13:40:04 time: 1.0274 data_time: 0.0240 memory: 27035 grad_norm: 3.8470 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4562 loss: 1.4562 2022/08/09 06:02:55 - mmengine - INFO - Epoch(train) [25][1620/1879] lr: 2.0000e-02 eta: 13:39:43 time: 1.0312 data_time: 0.0253 memory: 27035 grad_norm: 3.6610 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4909 loss: 1.4909 2022/08/09 06:03:15 - mmengine - INFO - Epoch(train) [25][1640/1879] lr: 2.0000e-02 eta: 13:39:22 time: 1.0312 data_time: 0.0249 memory: 27035 grad_norm: 3.8140 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5447 loss: 1.5447 2022/08/09 06:03:36 - mmengine - INFO - Epoch(train) [25][1660/1879] lr: 2.0000e-02 eta: 13:39:01 time: 1.0287 data_time: 0.0250 memory: 27035 grad_norm: 3.7493 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4399 loss: 1.4399 2022/08/09 06:03:56 - mmengine - INFO - Epoch(train) [25][1680/1879] lr: 2.0000e-02 eta: 13:38:40 time: 1.0273 data_time: 0.0242 memory: 27035 grad_norm: 3.6779 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3198 loss: 1.3198 2022/08/09 06:04:17 - mmengine - INFO - Epoch(train) [25][1700/1879] lr: 2.0000e-02 eta: 13:38:19 time: 1.0292 data_time: 0.0247 memory: 27035 grad_norm: 3.9089 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3078 loss: 1.3078 2022/08/09 06:04:37 - mmengine - INFO - Epoch(train) [25][1720/1879] lr: 2.0000e-02 eta: 13:37:58 time: 1.0284 data_time: 0.0242 memory: 27035 grad_norm: 3.8707 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3311 loss: 1.3311 2022/08/09 06:04:58 - mmengine - INFO - Epoch(train) [25][1740/1879] lr: 2.0000e-02 eta: 13:37:36 time: 1.0299 data_time: 0.0255 memory: 27035 grad_norm: 3.7075 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4196 loss: 1.4196 2022/08/09 06:05:19 - mmengine - INFO - Epoch(train) [25][1760/1879] lr: 2.0000e-02 eta: 13:37:16 time: 1.0416 data_time: 0.0334 memory: 27035 grad_norm: 3.6744 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3413 loss: 1.3413 2022/08/09 06:05:39 - mmengine - INFO - Epoch(train) [25][1780/1879] lr: 2.0000e-02 eta: 13:36:55 time: 1.0280 data_time: 0.0236 memory: 27035 grad_norm: 3.8791 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6642 loss: 1.6642 2022/08/09 06:06:00 - mmengine - INFO - Epoch(train) [25][1800/1879] lr: 2.0000e-02 eta: 13:36:34 time: 1.0293 data_time: 0.0244 memory: 27035 grad_norm: 3.6126 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2747 loss: 1.2747 2022/08/09 06:06:21 - mmengine - INFO - Epoch(train) [25][1820/1879] lr: 2.0000e-02 eta: 13:36:12 time: 1.0288 data_time: 0.0239 memory: 27035 grad_norm: 3.6674 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3614 loss: 1.3614 2022/08/09 06:06:41 - mmengine - INFO - Epoch(train) [25][1840/1879] lr: 2.0000e-02 eta: 13:35:51 time: 1.0296 data_time: 0.0246 memory: 27035 grad_norm: 3.6657 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3506 loss: 1.3506 2022/08/09 06:07:02 - mmengine - INFO - Epoch(train) [25][1860/1879] lr: 2.0000e-02 eta: 13:35:30 time: 1.0278 data_time: 0.0238 memory: 27035 grad_norm: 3.7474 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5328 loss: 1.5328 2022/08/09 06:07:21 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 06:07:21 - mmengine - INFO - Epoch(train) [25][1879/1879] lr: 2.0000e-02 eta: 13:35:30 time: 1.0242 data_time: 0.0238 memory: 27035 grad_norm: 3.8820 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.4450 loss: 1.4450 2022/08/09 06:07:37 - mmengine - INFO - Epoch(val) [25][20/155] eta: 0:01:43 time: 0.7679 data_time: 0.4951 memory: 3270 2022/08/09 06:07:47 - mmengine - INFO - Epoch(val) [25][40/155] eta: 0:00:59 time: 0.5159 data_time: 0.2432 memory: 3270 2022/08/09 06:08:01 - mmengine - INFO - Epoch(val) [25][60/155] eta: 0:01:05 time: 0.6869 data_time: 0.4125 memory: 3270 2022/08/09 06:08:11 - mmengine - INFO - Epoch(val) [25][80/155] eta: 0:00:39 time: 0.5307 data_time: 0.2616 memory: 3270 2022/08/09 06:08:25 - mmengine - INFO - Epoch(val) [25][100/155] eta: 0:00:37 time: 0.6795 data_time: 0.4054 memory: 3270 2022/08/09 06:08:36 - mmengine - INFO - Epoch(val) [25][120/155] eta: 0:00:20 time: 0.5730 data_time: 0.3021 memory: 3270 2022/08/09 06:08:51 - mmengine - INFO - Epoch(val) [25][140/155] eta: 0:00:10 time: 0.7213 data_time: 0.4506 memory: 3270 2022/08/09 06:08:59 - mmengine - INFO - Epoch(val) [25][155/155] acc/top1: 0.6505 acc/top5: 0.8634 acc/mean1: 0.6505 2022/08/09 06:08:59 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_22.pth is removed 2022/08/09 06:09:00 - mmengine - INFO - The best checkpoint with 0.6505 acc/top1 at 26 epoch is saved to best_acc/top1_epoch_26.pth. 2022/08/09 06:09:26 - mmengine - INFO - Epoch(train) [26][20/1879] lr: 2.0000e-03 eta: 13:34:35 time: 1.2769 data_time: 0.2421 memory: 27035 grad_norm: 3.5114 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2692 loss: 1.2692 2022/08/09 06:09:31 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 06:09:46 - mmengine - INFO - Epoch(train) [26][40/1879] lr: 2.0000e-03 eta: 13:34:14 time: 1.0277 data_time: 0.0243 memory: 27035 grad_norm: 3.3138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2364 loss: 1.2364 2022/08/09 06:10:07 - mmengine - INFO - Epoch(train) [26][60/1879] lr: 2.0000e-03 eta: 13:33:52 time: 1.0270 data_time: 0.0246 memory: 27035 grad_norm: 3.3811 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1963 loss: 1.1963 2022/08/09 06:10:29 - mmengine - INFO - Epoch(train) [26][80/1879] lr: 2.0000e-03 eta: 13:33:33 time: 1.0950 data_time: 0.0849 memory: 27035 grad_norm: 3.3145 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0696 loss: 1.0696 2022/08/09 06:10:49 - mmengine - INFO - Epoch(train) [26][100/1879] lr: 2.0000e-03 eta: 13:33:12 time: 1.0313 data_time: 0.0244 memory: 27035 grad_norm: 3.4752 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2819 loss: 1.2819 2022/08/09 06:11:10 - mmengine - INFO - Epoch(train) [26][120/1879] lr: 2.0000e-03 eta: 13:32:51 time: 1.0298 data_time: 0.0247 memory: 27035 grad_norm: 3.3081 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2060 loss: 1.2060 2022/08/09 06:11:30 - mmengine - INFO - Epoch(train) [26][140/1879] lr: 2.0000e-03 eta: 13:32:30 time: 1.0300 data_time: 0.0247 memory: 27035 grad_norm: 3.3314 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1355 loss: 1.1355 2022/08/09 06:11:51 - mmengine - INFO - Epoch(train) [26][160/1879] lr: 2.0000e-03 eta: 13:32:09 time: 1.0263 data_time: 0.0243 memory: 27035 grad_norm: 3.3040 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1895 loss: 1.1895 2022/08/09 06:12:12 - mmengine - INFO - Epoch(train) [26][180/1879] lr: 2.0000e-03 eta: 13:31:48 time: 1.0310 data_time: 0.0243 memory: 27035 grad_norm: 3.3771 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0881 loss: 1.0881 2022/08/09 06:12:32 - mmengine - INFO - Epoch(train) [26][200/1879] lr: 2.0000e-03 eta: 13:31:26 time: 1.0272 data_time: 0.0242 memory: 27035 grad_norm: 3.2374 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1507 loss: 1.1507 2022/08/09 06:12:53 - mmengine - INFO - Epoch(train) [26][220/1879] lr: 2.0000e-03 eta: 13:31:05 time: 1.0295 data_time: 0.0236 memory: 27035 grad_norm: 3.2588 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9534 loss: 0.9534 2022/08/09 06:13:13 - mmengine - INFO - Epoch(train) [26][240/1879] lr: 2.0000e-03 eta: 13:30:44 time: 1.0279 data_time: 0.0239 memory: 27035 grad_norm: 3.3090 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1432 loss: 1.1432 2022/08/09 06:13:34 - mmengine - INFO - Epoch(train) [26][260/1879] lr: 2.0000e-03 eta: 13:30:23 time: 1.0270 data_time: 0.0238 memory: 27035 grad_norm: 3.2362 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1224 loss: 1.1224 2022/08/09 06:13:54 - mmengine - INFO - Epoch(train) [26][280/1879] lr: 2.0000e-03 eta: 13:30:02 time: 1.0300 data_time: 0.0244 memory: 27035 grad_norm: 3.3410 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2486 loss: 1.2486 2022/08/09 06:14:15 - mmengine - INFO - Epoch(train) [26][300/1879] lr: 2.0000e-03 eta: 13:29:41 time: 1.0264 data_time: 0.0247 memory: 27035 grad_norm: 3.2298 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0297 loss: 1.0297 2022/08/09 06:14:36 - mmengine - INFO - Epoch(train) [26][320/1879] lr: 2.0000e-03 eta: 13:29:20 time: 1.0258 data_time: 0.0240 memory: 27035 grad_norm: 3.4282 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9411 loss: 0.9411 2022/08/09 06:14:56 - mmengine - INFO - Epoch(train) [26][340/1879] lr: 2.0000e-03 eta: 13:28:59 time: 1.0267 data_time: 0.0244 memory: 27035 grad_norm: 3.2535 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0076 loss: 1.0076 2022/08/09 06:15:17 - mmengine - INFO - Epoch(train) [26][360/1879] lr: 2.0000e-03 eta: 13:28:38 time: 1.0347 data_time: 0.0268 memory: 27035 grad_norm: 3.2006 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9181 loss: 0.9181 2022/08/09 06:15:37 - mmengine - INFO - Epoch(train) [26][380/1879] lr: 2.0000e-03 eta: 13:28:17 time: 1.0257 data_time: 0.0238 memory: 27035 grad_norm: 3.3494 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9761 loss: 0.9761 2022/08/09 06:15:58 - mmengine - INFO - Epoch(train) [26][400/1879] lr: 2.0000e-03 eta: 13:27:56 time: 1.0292 data_time: 0.0241 memory: 27035 grad_norm: 3.3033 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1261 loss: 1.1261 2022/08/09 06:16:19 - mmengine - INFO - Epoch(train) [26][420/1879] lr: 2.0000e-03 eta: 13:27:35 time: 1.0321 data_time: 0.0306 memory: 27035 grad_norm: 3.3001 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0662 loss: 1.0662 2022/08/09 06:16:39 - mmengine - INFO - Epoch(train) [26][440/1879] lr: 2.0000e-03 eta: 13:27:14 time: 1.0307 data_time: 0.0258 memory: 27035 grad_norm: 3.3496 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1750 loss: 1.1750 2022/08/09 06:17:00 - mmengine - INFO - Epoch(train) [26][460/1879] lr: 2.0000e-03 eta: 13:26:53 time: 1.0281 data_time: 0.0254 memory: 27035 grad_norm: 3.4123 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1400 loss: 1.1400 2022/08/09 06:17:21 - mmengine - INFO - Epoch(train) [26][480/1879] lr: 2.0000e-03 eta: 13:26:32 time: 1.0439 data_time: 0.0394 memory: 27035 grad_norm: 3.3488 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8999 loss: 0.8999 2022/08/09 06:17:41 - mmengine - INFO - Epoch(train) [26][500/1879] lr: 2.0000e-03 eta: 13:26:11 time: 1.0315 data_time: 0.0259 memory: 27035 grad_norm: 3.3820 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0662 loss: 1.0662 2022/08/09 06:18:02 - mmengine - INFO - Epoch(train) [26][520/1879] lr: 2.0000e-03 eta: 13:25:50 time: 1.0284 data_time: 0.0250 memory: 27035 grad_norm: 3.2778 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9788 loss: 0.9788 2022/08/09 06:18:22 - mmengine - INFO - Epoch(train) [26][540/1879] lr: 2.0000e-03 eta: 13:25:29 time: 1.0289 data_time: 0.0249 memory: 27035 grad_norm: 3.3847 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1359 loss: 1.1359 2022/08/09 06:18:43 - mmengine - INFO - Epoch(train) [26][560/1879] lr: 2.0000e-03 eta: 13:25:08 time: 1.0293 data_time: 0.0245 memory: 27035 grad_norm: 3.3674 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0686 loss: 1.0686 2022/08/09 06:19:04 - mmengine - INFO - Epoch(train) [26][580/1879] lr: 2.0000e-03 eta: 13:24:47 time: 1.0282 data_time: 0.0252 memory: 27035 grad_norm: 3.3475 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0218 loss: 1.0218 2022/08/09 06:19:24 - mmengine - INFO - Epoch(train) [26][600/1879] lr: 2.0000e-03 eta: 13:24:26 time: 1.0326 data_time: 0.0245 memory: 27035 grad_norm: 3.3911 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9816 loss: 0.9816 2022/08/09 06:19:45 - mmengine - INFO - Epoch(train) [26][620/1879] lr: 2.0000e-03 eta: 13:24:05 time: 1.0310 data_time: 0.0251 memory: 27035 grad_norm: 3.3699 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2101 loss: 1.2101 2022/08/09 06:20:05 - mmengine - INFO - Epoch(train) [26][640/1879] lr: 2.0000e-03 eta: 13:23:44 time: 1.0301 data_time: 0.0244 memory: 27035 grad_norm: 3.3002 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1147 loss: 1.1147 2022/08/09 06:20:28 - mmengine - INFO - Epoch(train) [26][660/1879] lr: 2.0000e-03 eta: 13:23:24 time: 1.1036 data_time: 0.0967 memory: 27035 grad_norm: 3.5353 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0757 loss: 1.0757 2022/08/09 06:20:48 - mmengine - INFO - Epoch(train) [26][680/1879] lr: 2.0000e-03 eta: 13:23:03 time: 1.0272 data_time: 0.0238 memory: 27035 grad_norm: 3.4835 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2016 loss: 1.2016 2022/08/09 06:21:09 - mmengine - INFO - Epoch(train) [26][700/1879] lr: 2.0000e-03 eta: 13:22:42 time: 1.0300 data_time: 0.0262 memory: 27035 grad_norm: 3.2949 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9947 loss: 0.9947 2022/08/09 06:21:29 - mmengine - INFO - Epoch(train) [26][720/1879] lr: 2.0000e-03 eta: 13:22:21 time: 1.0301 data_time: 0.0246 memory: 27035 grad_norm: 3.4498 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1465 loss: 1.1465 2022/08/09 06:21:50 - mmengine - INFO - Epoch(train) [26][740/1879] lr: 2.0000e-03 eta: 13:22:00 time: 1.0284 data_time: 0.0244 memory: 27035 grad_norm: 3.3951 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0049 loss: 1.0049 2022/08/09 06:22:11 - mmengine - INFO - Epoch(train) [26][760/1879] lr: 2.0000e-03 eta: 13:21:39 time: 1.0315 data_time: 0.0244 memory: 27035 grad_norm: 3.3163 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9030 loss: 0.9030 2022/08/09 06:22:31 - mmengine - INFO - Epoch(train) [26][780/1879] lr: 2.0000e-03 eta: 13:21:18 time: 1.0278 data_time: 0.0245 memory: 27035 grad_norm: 3.4342 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0013 loss: 1.0013 2022/08/09 06:22:52 - mmengine - INFO - Epoch(train) [26][800/1879] lr: 2.0000e-03 eta: 13:20:57 time: 1.0303 data_time: 0.0243 memory: 27035 grad_norm: 3.2922 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8501 loss: 0.8501 2022/08/09 06:23:12 - mmengine - INFO - Epoch(train) [26][820/1879] lr: 2.0000e-03 eta: 13:20:36 time: 1.0338 data_time: 0.0251 memory: 27035 grad_norm: 3.4337 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0978 loss: 1.0978 2022/08/09 06:23:33 - mmengine - INFO - Epoch(train) [26][840/1879] lr: 2.0000e-03 eta: 13:20:15 time: 1.0307 data_time: 0.0243 memory: 27035 grad_norm: 3.3921 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1400 loss: 1.1400 2022/08/09 06:23:54 - mmengine - INFO - Epoch(train) [26][860/1879] lr: 2.0000e-03 eta: 13:19:54 time: 1.0382 data_time: 0.0307 memory: 27035 grad_norm: 3.3252 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9818 loss: 0.9818 2022/08/09 06:24:15 - mmengine - INFO - Epoch(train) [26][880/1879] lr: 2.0000e-03 eta: 13:19:33 time: 1.0365 data_time: 0.0296 memory: 27035 grad_norm: 3.2891 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9038 loss: 0.9038 2022/08/09 06:24:35 - mmengine - INFO - Epoch(train) [26][900/1879] lr: 2.0000e-03 eta: 13:19:12 time: 1.0293 data_time: 0.0252 memory: 27035 grad_norm: 3.3715 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1791 loss: 1.1791 2022/08/09 06:24:56 - mmengine - INFO - Epoch(train) [26][920/1879] lr: 2.0000e-03 eta: 13:18:51 time: 1.0378 data_time: 0.0244 memory: 27035 grad_norm: 3.4444 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0344 loss: 1.0344 2022/08/09 06:25:17 - mmengine - INFO - Epoch(train) [26][940/1879] lr: 2.0000e-03 eta: 13:18:30 time: 1.0338 data_time: 0.0263 memory: 27035 grad_norm: 3.3191 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9486 loss: 0.9486 2022/08/09 06:25:37 - mmengine - INFO - Epoch(train) [26][960/1879] lr: 2.0000e-03 eta: 13:18:09 time: 1.0306 data_time: 0.0239 memory: 27035 grad_norm: 3.4083 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0749 loss: 1.0749 2022/08/09 06:25:58 - mmengine - INFO - Epoch(train) [26][980/1879] lr: 2.0000e-03 eta: 13:17:48 time: 1.0286 data_time: 0.0242 memory: 27035 grad_norm: 3.3831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9978 loss: 0.9978 2022/08/09 06:26:18 - mmengine - INFO - Epoch(train) [26][1000/1879] lr: 2.0000e-03 eta: 13:17:27 time: 1.0277 data_time: 0.0243 memory: 27035 grad_norm: 3.3761 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9287 loss: 0.9287 2022/08/09 06:26:39 - mmengine - INFO - Epoch(train) [26][1020/1879] lr: 2.0000e-03 eta: 13:17:06 time: 1.0305 data_time: 0.0253 memory: 27035 grad_norm: 3.3320 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0181 loss: 1.0181 2022/08/09 06:26:44 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 06:26:59 - mmengine - INFO - Epoch(train) [26][1040/1879] lr: 2.0000e-03 eta: 13:16:45 time: 1.0280 data_time: 0.0248 memory: 27035 grad_norm: 3.3649 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0162 loss: 1.0162 2022/08/09 06:27:21 - mmengine - INFO - Epoch(train) [26][1060/1879] lr: 2.0000e-03 eta: 13:16:25 time: 1.0588 data_time: 0.0561 memory: 27035 grad_norm: 3.5487 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1523 loss: 1.1523 2022/08/09 06:27:41 - mmengine - INFO - Epoch(train) [26][1080/1879] lr: 2.0000e-03 eta: 13:16:04 time: 1.0275 data_time: 0.0239 memory: 27035 grad_norm: 3.3985 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0032 loss: 1.0032 2022/08/09 06:28:02 - mmengine - INFO - Epoch(train) [26][1100/1879] lr: 2.0000e-03 eta: 13:15:43 time: 1.0438 data_time: 0.0383 memory: 27035 grad_norm: 3.4043 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9634 loss: 0.9634 2022/08/09 06:28:23 - mmengine - INFO - Epoch(train) [26][1120/1879] lr: 2.0000e-03 eta: 13:15:22 time: 1.0398 data_time: 0.0298 memory: 27035 grad_norm: 3.4150 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0100 loss: 1.0100 2022/08/09 06:28:43 - mmengine - INFO - Epoch(train) [26][1140/1879] lr: 2.0000e-03 eta: 13:15:01 time: 1.0283 data_time: 0.0254 memory: 27035 grad_norm: 3.3430 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9859 loss: 0.9859 2022/08/09 06:29:04 - mmengine - INFO - Epoch(train) [26][1160/1879] lr: 2.0000e-03 eta: 13:14:40 time: 1.0304 data_time: 0.0235 memory: 27035 grad_norm: 3.3591 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0454 loss: 1.0454 2022/08/09 06:29:25 - mmengine - INFO - Epoch(train) [26][1180/1879] lr: 2.0000e-03 eta: 13:14:19 time: 1.0261 data_time: 0.0238 memory: 27035 grad_norm: 3.4006 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9716 loss: 0.9716 2022/08/09 06:29:45 - mmengine - INFO - Epoch(train) [26][1200/1879] lr: 2.0000e-03 eta: 13:13:58 time: 1.0288 data_time: 0.0237 memory: 27035 grad_norm: 3.4279 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8968 loss: 0.8968 2022/08/09 06:30:06 - mmengine - INFO - Epoch(train) [26][1220/1879] lr: 2.0000e-03 eta: 13:13:37 time: 1.0273 data_time: 0.0246 memory: 27035 grad_norm: 3.4822 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0973 loss: 1.0973 2022/08/09 06:30:28 - mmengine - INFO - Epoch(train) [26][1240/1879] lr: 2.0000e-03 eta: 13:13:17 time: 1.1002 data_time: 0.0845 memory: 27035 grad_norm: 3.4403 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1899 loss: 1.1899 2022/08/09 06:30:48 - mmengine - INFO - Epoch(train) [26][1260/1879] lr: 2.0000e-03 eta: 13:12:56 time: 1.0278 data_time: 0.0250 memory: 27035 grad_norm: 3.3319 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9624 loss: 0.9624 2022/08/09 06:31:09 - mmengine - INFO - Epoch(train) [26][1280/1879] lr: 2.0000e-03 eta: 13:12:35 time: 1.0272 data_time: 0.0236 memory: 27035 grad_norm: 3.4127 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1279 loss: 1.1279 2022/08/09 06:31:29 - mmengine - INFO - Epoch(train) [26][1300/1879] lr: 2.0000e-03 eta: 13:12:14 time: 1.0300 data_time: 0.0253 memory: 27035 grad_norm: 3.3293 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9748 loss: 0.9748 2022/08/09 06:31:50 - mmengine - INFO - Epoch(train) [26][1320/1879] lr: 2.0000e-03 eta: 13:11:53 time: 1.0320 data_time: 0.0241 memory: 27035 grad_norm: 3.4138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0335 loss: 1.0335 2022/08/09 06:32:11 - mmengine - INFO - Epoch(train) [26][1340/1879] lr: 2.0000e-03 eta: 13:11:32 time: 1.0354 data_time: 0.0242 memory: 27035 grad_norm: 3.3092 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0145 loss: 1.0145 2022/08/09 06:32:31 - mmengine - INFO - Epoch(train) [26][1360/1879] lr: 2.0000e-03 eta: 13:11:11 time: 1.0302 data_time: 0.0238 memory: 27035 grad_norm: 3.4197 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0026 loss: 1.0026 2022/08/09 06:32:52 - mmengine - INFO - Epoch(train) [26][1380/1879] lr: 2.0000e-03 eta: 13:10:50 time: 1.0275 data_time: 0.0251 memory: 27035 grad_norm: 3.4425 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9771 loss: 0.9771 2022/08/09 06:33:13 - mmengine - INFO - Epoch(train) [26][1400/1879] lr: 2.0000e-03 eta: 13:10:29 time: 1.0293 data_time: 0.0253 memory: 27035 grad_norm: 3.3790 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9771 loss: 0.9771 2022/08/09 06:33:33 - mmengine - INFO - Epoch(train) [26][1420/1879] lr: 2.0000e-03 eta: 13:10:08 time: 1.0286 data_time: 0.0241 memory: 27035 grad_norm: 3.3935 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9480 loss: 0.9480 2022/08/09 06:33:54 - mmengine - INFO - Epoch(train) [26][1440/1879] lr: 2.0000e-03 eta: 13:09:47 time: 1.0275 data_time: 0.0238 memory: 27035 grad_norm: 3.4543 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9953 loss: 0.9953 2022/08/09 06:34:14 - mmengine - INFO - Epoch(train) [26][1460/1879] lr: 2.0000e-03 eta: 13:09:26 time: 1.0297 data_time: 0.0240 memory: 27035 grad_norm: 3.4479 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9917 loss: 0.9917 2022/08/09 06:34:35 - mmengine - INFO - Epoch(train) [26][1480/1879] lr: 2.0000e-03 eta: 13:09:05 time: 1.0295 data_time: 0.0237 memory: 27035 grad_norm: 3.4700 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9710 loss: 0.9710 2022/08/09 06:34:56 - mmengine - INFO - Epoch(train) [26][1500/1879] lr: 2.0000e-03 eta: 13:08:44 time: 1.0356 data_time: 0.0248 memory: 27035 grad_norm: 3.4022 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9682 loss: 0.9682 2022/08/09 06:35:16 - mmengine - INFO - Epoch(train) [26][1520/1879] lr: 2.0000e-03 eta: 13:08:23 time: 1.0375 data_time: 0.0267 memory: 27035 grad_norm: 3.4473 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0689 loss: 1.0689 2022/08/09 06:35:37 - mmengine - INFO - Epoch(train) [26][1540/1879] lr: 2.0000e-03 eta: 13:08:02 time: 1.0288 data_time: 0.0238 memory: 27035 grad_norm: 3.3656 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7485 loss: 0.7485 2022/08/09 06:35:58 - mmengine - INFO - Epoch(train) [26][1560/1879] lr: 2.0000e-03 eta: 13:07:41 time: 1.0307 data_time: 0.0254 memory: 27035 grad_norm: 3.4300 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9857 loss: 0.9857 2022/08/09 06:36:18 - mmengine - INFO - Epoch(train) [26][1580/1879] lr: 2.0000e-03 eta: 13:07:20 time: 1.0301 data_time: 0.0247 memory: 27035 grad_norm: 3.3812 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0308 loss: 1.0308 2022/08/09 06:36:39 - mmengine - INFO - Epoch(train) [26][1600/1879] lr: 2.0000e-03 eta: 13:06:59 time: 1.0301 data_time: 0.0249 memory: 27035 grad_norm: 3.4144 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0823 loss: 1.0823 2022/08/09 06:36:59 - mmengine - INFO - Epoch(train) [26][1620/1879] lr: 2.0000e-03 eta: 13:06:38 time: 1.0263 data_time: 0.0241 memory: 27035 grad_norm: 3.4844 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2062 loss: 1.2062 2022/08/09 06:37:21 - mmengine - INFO - Epoch(train) [26][1640/1879] lr: 2.0000e-03 eta: 13:06:17 time: 1.0637 data_time: 0.0255 memory: 27035 grad_norm: 3.4511 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9728 loss: 0.9728 2022/08/09 06:37:41 - mmengine - INFO - Epoch(train) [26][1660/1879] lr: 2.0000e-03 eta: 13:05:56 time: 1.0294 data_time: 0.0259 memory: 27035 grad_norm: 3.4506 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0299 loss: 1.0299 2022/08/09 06:38:02 - mmengine - INFO - Epoch(train) [26][1680/1879] lr: 2.0000e-03 eta: 13:05:35 time: 1.0328 data_time: 0.0252 memory: 27035 grad_norm: 3.4517 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8745 loss: 0.8745 2022/08/09 06:38:22 - mmengine - INFO - Epoch(train) [26][1700/1879] lr: 2.0000e-03 eta: 13:05:14 time: 1.0285 data_time: 0.0253 memory: 27035 grad_norm: 3.3474 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1219 loss: 1.1219 2022/08/09 06:38:43 - mmengine - INFO - Epoch(train) [26][1720/1879] lr: 2.0000e-03 eta: 13:04:54 time: 1.0374 data_time: 0.0311 memory: 27035 grad_norm: 3.4413 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9307 loss: 0.9307 2022/08/09 06:39:04 - mmengine - INFO - Epoch(train) [26][1740/1879] lr: 2.0000e-03 eta: 13:04:33 time: 1.0309 data_time: 0.0254 memory: 27035 grad_norm: 3.4404 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0907 loss: 1.0907 2022/08/09 06:39:24 - mmengine - INFO - Epoch(train) [26][1760/1879] lr: 2.0000e-03 eta: 13:04:12 time: 1.0295 data_time: 0.0247 memory: 27035 grad_norm: 3.4170 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0020 loss: 1.0020 2022/08/09 06:39:45 - mmengine - INFO - Epoch(train) [26][1780/1879] lr: 2.0000e-03 eta: 13:03:51 time: 1.0346 data_time: 0.0246 memory: 27035 grad_norm: 3.3883 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 0.9493 loss: 0.9493 2022/08/09 06:40:06 - mmengine - INFO - Epoch(train) [26][1800/1879] lr: 2.0000e-03 eta: 13:03:30 time: 1.0268 data_time: 0.0241 memory: 27035 grad_norm: 3.4762 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9648 loss: 0.9648 2022/08/09 06:40:28 - mmengine - INFO - Epoch(train) [26][1820/1879] lr: 2.0000e-03 eta: 13:03:10 time: 1.1114 data_time: 0.0957 memory: 27035 grad_norm: 3.4904 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0497 loss: 1.0497 2022/08/09 06:40:49 - mmengine - INFO - Epoch(train) [26][1840/1879] lr: 2.0000e-03 eta: 13:02:49 time: 1.0304 data_time: 0.0248 memory: 27035 grad_norm: 3.4187 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9507 loss: 0.9507 2022/08/09 06:41:09 - mmengine - INFO - Epoch(train) [26][1860/1879] lr: 2.0000e-03 eta: 13:02:28 time: 1.0323 data_time: 0.0259 memory: 27035 grad_norm: 3.6103 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0625 loss: 1.0625 2022/08/09 06:41:28 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 06:41:28 - mmengine - INFO - Epoch(train) [26][1879/1879] lr: 2.0000e-03 eta: 13:02:28 time: 0.9998 data_time: 0.0238 memory: 27035 grad_norm: 3.4976 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.0643 loss: 1.0643 2022/08/09 06:41:44 - mmengine - INFO - Epoch(val) [26][20/155] eta: 0:01:44 time: 0.7737 data_time: 0.4940 memory: 3270 2022/08/09 06:41:53 - mmengine - INFO - Epoch(val) [26][40/155] eta: 0:00:55 time: 0.4802 data_time: 0.2096 memory: 3270 2022/08/09 06:42:06 - mmengine - INFO - Epoch(val) [26][60/155] eta: 0:01:02 time: 0.6529 data_time: 0.3824 memory: 3270 2022/08/09 06:42:18 - mmengine - INFO - Epoch(val) [26][80/155] eta: 0:00:42 time: 0.5639 data_time: 0.2932 memory: 3270 2022/08/09 06:42:31 - mmengine - INFO - Epoch(val) [26][100/155] eta: 0:00:37 time: 0.6739 data_time: 0.4035 memory: 3270 2022/08/09 06:42:42 - mmengine - INFO - Epoch(val) [26][120/155] eta: 0:00:18 time: 0.5186 data_time: 0.2483 memory: 3270 2022/08/09 06:42:56 - mmengine - INFO - Epoch(val) [26][140/155] eta: 0:00:10 time: 0.6984 data_time: 0.4282 memory: 3270 2022/08/09 06:43:05 - mmengine - INFO - Epoch(val) [26][155/155] acc/top1: 0.7167 acc/top5: 0.9020 acc/mean1: 0.7166 2022/08/09 06:43:05 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_26.pth is removed 2022/08/09 06:43:06 - mmengine - INFO - The best checkpoint with 0.7167 acc/top1 at 27 epoch is saved to best_acc/top1_epoch_27.pth. 2022/08/09 06:43:31 - mmengine - INFO - Epoch(train) [27][20/1879] lr: 2.0000e-03 eta: 13:01:33 time: 1.2613 data_time: 0.2149 memory: 27035 grad_norm: 3.3296 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0382 loss: 1.0382 2022/08/09 06:43:52 - mmengine - INFO - Epoch(train) [27][40/1879] lr: 2.0000e-03 eta: 13:01:12 time: 1.0271 data_time: 0.0242 memory: 27035 grad_norm: 3.3642 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9080 loss: 0.9080 2022/08/09 06:44:12 - mmengine - INFO - Epoch(train) [27][60/1879] lr: 2.0000e-03 eta: 13:00:51 time: 1.0279 data_time: 0.0244 memory: 27035 grad_norm: 3.4023 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9179 loss: 0.9179 2022/08/09 06:44:33 - mmengine - INFO - Epoch(train) [27][80/1879] lr: 2.0000e-03 eta: 13:00:30 time: 1.0330 data_time: 0.0265 memory: 27035 grad_norm: 3.4345 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0948 loss: 1.0948 2022/08/09 06:44:54 - mmengine - INFO - Epoch(train) [27][100/1879] lr: 2.0000e-03 eta: 13:00:09 time: 1.0300 data_time: 0.0246 memory: 27035 grad_norm: 3.4914 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1183 loss: 1.1183 2022/08/09 06:45:14 - mmengine - INFO - Epoch(train) [27][120/1879] lr: 2.0000e-03 eta: 12:59:49 time: 1.0420 data_time: 0.0283 memory: 27035 grad_norm: 3.4669 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9909 loss: 0.9909 2022/08/09 06:45:35 - mmengine - INFO - Epoch(train) [27][140/1879] lr: 2.0000e-03 eta: 12:59:28 time: 1.0360 data_time: 0.0246 memory: 27035 grad_norm: 3.4710 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8955 loss: 0.8955 2022/08/09 06:45:41 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 06:45:56 - mmengine - INFO - Epoch(train) [27][160/1879] lr: 2.0000e-03 eta: 12:59:07 time: 1.0297 data_time: 0.0251 memory: 27035 grad_norm: 3.2939 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9030 loss: 0.9030 2022/08/09 06:46:16 - mmengine - INFO - Epoch(train) [27][180/1879] lr: 2.0000e-03 eta: 12:58:46 time: 1.0283 data_time: 0.0257 memory: 27035 grad_norm: 3.3230 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8661 loss: 0.8661 2022/08/09 06:46:37 - mmengine - INFO - Epoch(train) [27][200/1879] lr: 2.0000e-03 eta: 12:58:25 time: 1.0295 data_time: 0.0250 memory: 27035 grad_norm: 3.3885 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9418 loss: 0.9418 2022/08/09 06:46:57 - mmengine - INFO - Epoch(train) [27][220/1879] lr: 2.0000e-03 eta: 12:58:04 time: 1.0318 data_time: 0.0243 memory: 27035 grad_norm: 3.3381 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9641 loss: 0.9641 2022/08/09 06:47:18 - mmengine - INFO - Epoch(train) [27][240/1879] lr: 2.0000e-03 eta: 12:57:43 time: 1.0493 data_time: 0.0376 memory: 27035 grad_norm: 3.4175 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0714 loss: 1.0714 2022/08/09 06:47:39 - mmengine - INFO - Epoch(train) [27][260/1879] lr: 2.0000e-03 eta: 12:57:22 time: 1.0288 data_time: 0.0241 memory: 27035 grad_norm: 3.3859 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8886 loss: 0.8886 2022/08/09 06:48:00 - mmengine - INFO - Epoch(train) [27][280/1879] lr: 2.0000e-03 eta: 12:57:01 time: 1.0288 data_time: 0.0248 memory: 27035 grad_norm: 3.3850 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9645 loss: 0.9645 2022/08/09 06:48:20 - mmengine - INFO - Epoch(train) [27][300/1879] lr: 2.0000e-03 eta: 12:56:40 time: 1.0277 data_time: 0.0249 memory: 27035 grad_norm: 3.3902 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8211 loss: 0.8211 2022/08/09 06:48:41 - mmengine - INFO - Epoch(train) [27][320/1879] lr: 2.0000e-03 eta: 12:56:19 time: 1.0281 data_time: 0.0246 memory: 27035 grad_norm: 3.3619 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9112 loss: 0.9112 2022/08/09 06:49:01 - mmengine - INFO - Epoch(train) [27][340/1879] lr: 2.0000e-03 eta: 12:55:58 time: 1.0274 data_time: 0.0246 memory: 27035 grad_norm: 3.4743 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9794 loss: 0.9794 2022/08/09 06:49:22 - mmengine - INFO - Epoch(train) [27][360/1879] lr: 2.0000e-03 eta: 12:55:37 time: 1.0285 data_time: 0.0246 memory: 27035 grad_norm: 3.3712 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0000 loss: 1.0000 2022/08/09 06:49:43 - mmengine - INFO - Epoch(train) [27][380/1879] lr: 2.0000e-03 eta: 12:55:16 time: 1.0352 data_time: 0.0323 memory: 27035 grad_norm: 3.4778 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1795 loss: 1.1795 2022/08/09 06:50:03 - mmengine - INFO - Epoch(train) [27][400/1879] lr: 2.0000e-03 eta: 12:54:55 time: 1.0317 data_time: 0.0250 memory: 27035 grad_norm: 3.4842 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1964 loss: 1.1964 2022/08/09 06:50:25 - mmengine - INFO - Epoch(train) [27][420/1879] lr: 2.0000e-03 eta: 12:54:35 time: 1.0622 data_time: 0.0541 memory: 27035 grad_norm: 3.4277 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9499 loss: 0.9499 2022/08/09 06:50:45 - mmengine - INFO - Epoch(train) [27][440/1879] lr: 2.0000e-03 eta: 12:54:14 time: 1.0292 data_time: 0.0245 memory: 27035 grad_norm: 3.4602 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9915 loss: 0.9915 2022/08/09 06:51:06 - mmengine - INFO - Epoch(train) [27][460/1879] lr: 2.0000e-03 eta: 12:53:53 time: 1.0271 data_time: 0.0245 memory: 27035 grad_norm: 3.4672 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8509 loss: 0.8509 2022/08/09 06:51:26 - mmengine - INFO - Epoch(train) [27][480/1879] lr: 2.0000e-03 eta: 12:53:32 time: 1.0288 data_time: 0.0244 memory: 27035 grad_norm: 3.3886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9454 loss: 0.9454 2022/08/09 06:51:47 - mmengine - INFO - Epoch(train) [27][500/1879] lr: 2.0000e-03 eta: 12:53:10 time: 1.0257 data_time: 0.0239 memory: 27035 grad_norm: 3.3572 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9042 loss: 0.9042 2022/08/09 06:52:07 - mmengine - INFO - Epoch(train) [27][520/1879] lr: 2.0000e-03 eta: 12:52:49 time: 1.0284 data_time: 0.0248 memory: 27035 grad_norm: 3.5009 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7995 loss: 0.7995 2022/08/09 06:52:28 - mmengine - INFO - Epoch(train) [27][540/1879] lr: 2.0000e-03 eta: 12:52:28 time: 1.0275 data_time: 0.0243 memory: 27035 grad_norm: 3.4989 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0497 loss: 1.0497 2022/08/09 06:52:49 - mmengine - INFO - Epoch(train) [27][560/1879] lr: 2.0000e-03 eta: 12:52:07 time: 1.0323 data_time: 0.0256 memory: 27035 grad_norm: 3.5063 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9263 loss: 0.9263 2022/08/09 06:53:09 - mmengine - INFO - Epoch(train) [27][580/1879] lr: 2.0000e-03 eta: 12:51:47 time: 1.0338 data_time: 0.0304 memory: 27035 grad_norm: 3.4539 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9691 loss: 0.9691 2022/08/09 06:53:30 - mmengine - INFO - Epoch(train) [27][600/1879] lr: 2.0000e-03 eta: 12:51:26 time: 1.0281 data_time: 0.0246 memory: 27035 grad_norm: 3.3671 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0978 loss: 1.0978 2022/08/09 06:53:50 - mmengine - INFO - Epoch(train) [27][620/1879] lr: 2.0000e-03 eta: 12:51:05 time: 1.0302 data_time: 0.0248 memory: 27035 grad_norm: 3.5035 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0445 loss: 1.0445 2022/08/09 06:54:11 - mmengine - INFO - Epoch(train) [27][640/1879] lr: 2.0000e-03 eta: 12:50:44 time: 1.0294 data_time: 0.0241 memory: 27035 grad_norm: 3.4700 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9801 loss: 0.9801 2022/08/09 06:54:32 - mmengine - INFO - Epoch(train) [27][660/1879] lr: 2.0000e-03 eta: 12:50:23 time: 1.0313 data_time: 0.0244 memory: 27035 grad_norm: 3.4937 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8575 loss: 0.8575 2022/08/09 06:54:52 - mmengine - INFO - Epoch(train) [27][680/1879] lr: 2.0000e-03 eta: 12:50:02 time: 1.0270 data_time: 0.0249 memory: 27035 grad_norm: 3.5328 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9561 loss: 0.9561 2022/08/09 06:55:13 - mmengine - INFO - Epoch(train) [27][700/1879] lr: 2.0000e-03 eta: 12:49:41 time: 1.0394 data_time: 0.0275 memory: 27035 grad_norm: 3.4587 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9464 loss: 0.9464 2022/08/09 06:55:34 - mmengine - INFO - Epoch(train) [27][720/1879] lr: 2.0000e-03 eta: 12:49:20 time: 1.0330 data_time: 0.0244 memory: 27035 grad_norm: 3.3101 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8651 loss: 0.8651 2022/08/09 06:55:54 - mmengine - INFO - Epoch(train) [27][740/1879] lr: 2.0000e-03 eta: 12:48:59 time: 1.0293 data_time: 0.0260 memory: 27035 grad_norm: 3.4875 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9979 loss: 0.9979 2022/08/09 06:56:15 - mmengine - INFO - Epoch(train) [27][760/1879] lr: 2.0000e-03 eta: 12:48:38 time: 1.0301 data_time: 0.0243 memory: 27035 grad_norm: 3.5257 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2146 loss: 1.2146 2022/08/09 06:56:36 - mmengine - INFO - Epoch(train) [27][780/1879] lr: 2.0000e-03 eta: 12:48:17 time: 1.0352 data_time: 0.0240 memory: 27035 grad_norm: 3.5386 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9277 loss: 0.9277 2022/08/09 06:56:56 - mmengine - INFO - Epoch(train) [27][800/1879] lr: 2.0000e-03 eta: 12:47:56 time: 1.0287 data_time: 0.0239 memory: 27035 grad_norm: 3.3975 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9818 loss: 0.9818 2022/08/09 06:57:18 - mmengine - INFO - Epoch(train) [27][820/1879] lr: 2.0000e-03 eta: 12:47:36 time: 1.0752 data_time: 0.0707 memory: 27035 grad_norm: 3.4105 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9059 loss: 0.9059 2022/08/09 06:57:38 - mmengine - INFO - Epoch(train) [27][840/1879] lr: 2.0000e-03 eta: 12:47:15 time: 1.0269 data_time: 0.0240 memory: 27035 grad_norm: 3.4577 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8884 loss: 0.8884 2022/08/09 06:57:59 - mmengine - INFO - Epoch(train) [27][860/1879] lr: 2.0000e-03 eta: 12:46:54 time: 1.0332 data_time: 0.0244 memory: 27035 grad_norm: 3.4744 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9560 loss: 0.9560 2022/08/09 06:58:19 - mmengine - INFO - Epoch(train) [27][880/1879] lr: 2.0000e-03 eta: 12:46:33 time: 1.0307 data_time: 0.0252 memory: 27035 grad_norm: 3.3965 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9235 loss: 0.9235 2022/08/09 06:58:40 - mmengine - INFO - Epoch(train) [27][900/1879] lr: 2.0000e-03 eta: 12:46:12 time: 1.0354 data_time: 0.0259 memory: 27035 grad_norm: 3.4773 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8485 loss: 0.8485 2022/08/09 06:59:01 - mmengine - INFO - Epoch(train) [27][920/1879] lr: 2.0000e-03 eta: 12:45:51 time: 1.0366 data_time: 0.0252 memory: 27035 grad_norm: 3.5466 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9591 loss: 0.9591 2022/08/09 06:59:21 - mmengine - INFO - Epoch(train) [27][940/1879] lr: 2.0000e-03 eta: 12:45:30 time: 1.0282 data_time: 0.0252 memory: 27035 grad_norm: 3.4281 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0663 loss: 1.0663 2022/08/09 06:59:42 - mmengine - INFO - Epoch(train) [27][960/1879] lr: 2.0000e-03 eta: 12:45:09 time: 1.0289 data_time: 0.0240 memory: 27035 grad_norm: 3.4303 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9203 loss: 0.9203 2022/08/09 07:00:03 - mmengine - INFO - Epoch(train) [27][980/1879] lr: 2.0000e-03 eta: 12:44:48 time: 1.0279 data_time: 0.0251 memory: 27035 grad_norm: 3.5354 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9521 loss: 0.9521 2022/08/09 07:00:24 - mmengine - INFO - Epoch(train) [27][1000/1879] lr: 2.0000e-03 eta: 12:44:28 time: 1.0668 data_time: 0.0433 memory: 27035 grad_norm: 3.4257 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0206 loss: 1.0206 2022/08/09 07:00:45 - mmengine - INFO - Epoch(train) [27][1020/1879] lr: 2.0000e-03 eta: 12:44:07 time: 1.0279 data_time: 0.0242 memory: 27035 grad_norm: 3.3650 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8812 loss: 0.8812 2022/08/09 07:01:05 - mmengine - INFO - Epoch(train) [27][1040/1879] lr: 2.0000e-03 eta: 12:43:46 time: 1.0314 data_time: 0.0256 memory: 27035 grad_norm: 3.4699 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7635 loss: 0.7635 2022/08/09 07:01:26 - mmengine - INFO - Epoch(train) [27][1060/1879] lr: 2.0000e-03 eta: 12:43:25 time: 1.0295 data_time: 0.0252 memory: 27035 grad_norm: 3.5268 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0994 loss: 1.0994 2022/08/09 07:01:46 - mmengine - INFO - Epoch(train) [27][1080/1879] lr: 2.0000e-03 eta: 12:43:04 time: 1.0329 data_time: 0.0247 memory: 27035 grad_norm: 3.5329 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9706 loss: 0.9706 2022/08/09 07:02:07 - mmengine - INFO - Epoch(train) [27][1100/1879] lr: 2.0000e-03 eta: 12:42:43 time: 1.0311 data_time: 0.0254 memory: 27035 grad_norm: 3.3161 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0096 loss: 1.0096 2022/08/09 07:02:28 - mmengine - INFO - Epoch(train) [27][1120/1879] lr: 2.0000e-03 eta: 12:42:22 time: 1.0292 data_time: 0.0247 memory: 27035 grad_norm: 3.4984 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0528 loss: 1.0528 2022/08/09 07:02:48 - mmengine - INFO - Epoch(train) [27][1140/1879] lr: 2.0000e-03 eta: 12:42:01 time: 1.0309 data_time: 0.0245 memory: 27035 grad_norm: 3.4456 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0242 loss: 1.0242 2022/08/09 07:02:54 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 07:03:09 - mmengine - INFO - Epoch(train) [27][1160/1879] lr: 2.0000e-03 eta: 12:41:40 time: 1.0271 data_time: 0.0240 memory: 27035 grad_norm: 3.4898 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0526 loss: 1.0526 2022/08/09 07:03:29 - mmengine - INFO - Epoch(train) [27][1180/1879] lr: 2.0000e-03 eta: 12:41:19 time: 1.0302 data_time: 0.0251 memory: 27035 grad_norm: 3.4563 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9186 loss: 0.9186 2022/08/09 07:03:50 - mmengine - INFO - Epoch(train) [27][1200/1879] lr: 2.0000e-03 eta: 12:40:58 time: 1.0306 data_time: 0.0242 memory: 27035 grad_norm: 3.5120 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0741 loss: 1.0741 2022/08/09 07:04:11 - mmengine - INFO - Epoch(train) [27][1220/1879] lr: 2.0000e-03 eta: 12:40:37 time: 1.0305 data_time: 0.0258 memory: 27035 grad_norm: 3.4022 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7801 loss: 0.7801 2022/08/09 07:04:31 - mmengine - INFO - Epoch(train) [27][1240/1879] lr: 2.0000e-03 eta: 12:40:16 time: 1.0310 data_time: 0.0261 memory: 27035 grad_norm: 3.4868 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8702 loss: 0.8702 2022/08/09 07:04:52 - mmengine - INFO - Epoch(train) [27][1260/1879] lr: 2.0000e-03 eta: 12:39:55 time: 1.0369 data_time: 0.0314 memory: 27035 grad_norm: 3.5602 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0418 loss: 1.0418 2022/08/09 07:05:13 - mmengine - INFO - Epoch(train) [27][1280/1879] lr: 2.0000e-03 eta: 12:39:34 time: 1.0364 data_time: 0.0256 memory: 27035 grad_norm: 3.6246 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9226 loss: 0.9226 2022/08/09 07:05:33 - mmengine - INFO - Epoch(train) [27][1300/1879] lr: 2.0000e-03 eta: 12:39:13 time: 1.0319 data_time: 0.0263 memory: 27035 grad_norm: 3.4234 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0090 loss: 1.0090 2022/08/09 07:05:54 - mmengine - INFO - Epoch(train) [27][1320/1879] lr: 2.0000e-03 eta: 12:38:52 time: 1.0344 data_time: 0.0317 memory: 27035 grad_norm: 3.5748 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0371 loss: 1.0371 2022/08/09 07:06:15 - mmengine - INFO - Epoch(train) [27][1340/1879] lr: 2.0000e-03 eta: 12:38:31 time: 1.0345 data_time: 0.0250 memory: 27035 grad_norm: 3.4975 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9085 loss: 0.9085 2022/08/09 07:06:36 - mmengine - INFO - Epoch(train) [27][1360/1879] lr: 2.0000e-03 eta: 12:38:10 time: 1.0336 data_time: 0.0251 memory: 27035 grad_norm: 3.4438 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9372 loss: 0.9372 2022/08/09 07:06:56 - mmengine - INFO - Epoch(train) [27][1380/1879] lr: 2.0000e-03 eta: 12:37:49 time: 1.0292 data_time: 0.0234 memory: 27035 grad_norm: 3.4967 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7854 loss: 0.7854 2022/08/09 07:07:18 - mmengine - INFO - Epoch(train) [27][1400/1879] lr: 2.0000e-03 eta: 12:37:29 time: 1.0837 data_time: 0.0240 memory: 27035 grad_norm: 3.5583 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0338 loss: 1.0338 2022/08/09 07:07:38 - mmengine - INFO - Epoch(train) [27][1420/1879] lr: 2.0000e-03 eta: 12:37:09 time: 1.0330 data_time: 0.0241 memory: 27035 grad_norm: 3.5972 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9918 loss: 0.9918 2022/08/09 07:07:59 - mmengine - INFO - Epoch(train) [27][1440/1879] lr: 2.0000e-03 eta: 12:36:48 time: 1.0306 data_time: 0.0235 memory: 27035 grad_norm: 3.4583 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0244 loss: 1.0244 2022/08/09 07:08:20 - mmengine - INFO - Epoch(train) [27][1460/1879] lr: 2.0000e-03 eta: 12:36:27 time: 1.0342 data_time: 0.0244 memory: 27035 grad_norm: 3.4829 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0652 loss: 1.0652 2022/08/09 07:08:40 - mmengine - INFO - Epoch(train) [27][1480/1879] lr: 2.0000e-03 eta: 12:36:06 time: 1.0282 data_time: 0.0252 memory: 27035 grad_norm: 3.4472 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9543 loss: 0.9543 2022/08/09 07:09:01 - mmengine - INFO - Epoch(train) [27][1500/1879] lr: 2.0000e-03 eta: 12:35:45 time: 1.0308 data_time: 0.0243 memory: 27035 grad_norm: 3.4583 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9565 loss: 0.9565 2022/08/09 07:09:22 - mmengine - INFO - Epoch(train) [27][1520/1879] lr: 2.0000e-03 eta: 12:35:24 time: 1.0282 data_time: 0.0241 memory: 27035 grad_norm: 3.6395 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8848 loss: 0.8848 2022/08/09 07:09:42 - mmengine - INFO - Epoch(train) [27][1540/1879] lr: 2.0000e-03 eta: 12:35:03 time: 1.0317 data_time: 0.0236 memory: 27035 grad_norm: 3.3555 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9923 loss: 0.9923 2022/08/09 07:10:03 - mmengine - INFO - Epoch(train) [27][1560/1879] lr: 2.0000e-03 eta: 12:34:42 time: 1.0316 data_time: 0.0240 memory: 27035 grad_norm: 3.5143 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0191 loss: 1.0191 2022/08/09 07:10:24 - mmengine - INFO - Epoch(train) [27][1580/1879] lr: 2.0000e-03 eta: 12:34:21 time: 1.0634 data_time: 0.0559 memory: 27035 grad_norm: 3.4346 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8362 loss: 0.8362 2022/08/09 07:10:45 - mmengine - INFO - Epoch(train) [27][1600/1879] lr: 2.0000e-03 eta: 12:34:00 time: 1.0288 data_time: 0.0254 memory: 27035 grad_norm: 3.4060 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9538 loss: 0.9538 2022/08/09 07:11:05 - mmengine - INFO - Epoch(train) [27][1620/1879] lr: 2.0000e-03 eta: 12:33:39 time: 1.0329 data_time: 0.0253 memory: 27035 grad_norm: 3.5003 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9322 loss: 0.9322 2022/08/09 07:11:26 - mmengine - INFO - Epoch(train) [27][1640/1879] lr: 2.0000e-03 eta: 12:33:18 time: 1.0299 data_time: 0.0251 memory: 27035 grad_norm: 3.4632 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1198 loss: 1.1198 2022/08/09 07:11:46 - mmengine - INFO - Epoch(train) [27][1660/1879] lr: 2.0000e-03 eta: 12:32:57 time: 1.0270 data_time: 0.0243 memory: 27035 grad_norm: 3.3474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9506 loss: 0.9506 2022/08/09 07:12:07 - mmengine - INFO - Epoch(train) [27][1680/1879] lr: 2.0000e-03 eta: 12:32:36 time: 1.0309 data_time: 0.0246 memory: 27035 grad_norm: 3.3994 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9214 loss: 0.9214 2022/08/09 07:12:28 - mmengine - INFO - Epoch(train) [27][1700/1879] lr: 2.0000e-03 eta: 12:32:15 time: 1.0271 data_time: 0.0250 memory: 27035 grad_norm: 3.4133 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0088 loss: 1.0088 2022/08/09 07:12:48 - mmengine - INFO - Epoch(train) [27][1720/1879] lr: 2.0000e-03 eta: 12:31:55 time: 1.0357 data_time: 0.0246 memory: 27035 grad_norm: 3.5261 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9497 loss: 0.9497 2022/08/09 07:13:09 - mmengine - INFO - Epoch(train) [27][1740/1879] lr: 2.0000e-03 eta: 12:31:34 time: 1.0286 data_time: 0.0241 memory: 27035 grad_norm: 3.5435 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9701 loss: 0.9701 2022/08/09 07:13:30 - mmengine - INFO - Epoch(train) [27][1760/1879] lr: 2.0000e-03 eta: 12:31:13 time: 1.0302 data_time: 0.0245 memory: 27035 grad_norm: 3.4758 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8557 loss: 0.8557 2022/08/09 07:13:50 - mmengine - INFO - Epoch(train) [27][1780/1879] lr: 2.0000e-03 eta: 12:30:52 time: 1.0316 data_time: 0.0245 memory: 27035 grad_norm: 3.4678 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8410 loss: 0.8410 2022/08/09 07:14:11 - mmengine - INFO - Epoch(train) [27][1800/1879] lr: 2.0000e-03 eta: 12:30:31 time: 1.0279 data_time: 0.0242 memory: 27035 grad_norm: 3.4373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0096 loss: 1.0096 2022/08/09 07:14:31 - mmengine - INFO - Epoch(train) [27][1820/1879] lr: 2.0000e-03 eta: 12:30:10 time: 1.0355 data_time: 0.0253 memory: 27035 grad_norm: 3.5268 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8730 loss: 0.8730 2022/08/09 07:14:52 - mmengine - INFO - Epoch(train) [27][1840/1879] lr: 2.0000e-03 eta: 12:29:49 time: 1.0265 data_time: 0.0238 memory: 27035 grad_norm: 3.4219 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8173 loss: 0.8173 2022/08/09 07:15:13 - mmengine - INFO - Epoch(train) [27][1860/1879] lr: 2.0000e-03 eta: 12:29:28 time: 1.0637 data_time: 0.0293 memory: 27035 grad_norm: 3.4813 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9371 loss: 0.9371 2022/08/09 07:15:33 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 07:15:33 - mmengine - INFO - Epoch(train) [27][1879/1879] lr: 2.0000e-03 eta: 12:29:28 time: 1.0402 data_time: 0.0243 memory: 27035 grad_norm: 3.6135 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8287 loss: 0.8287 2022/08/09 07:15:33 - mmengine - INFO - Saving checkpoint at 27 epochs 2022/08/09 07:15:50 - mmengine - INFO - Epoch(val) [27][20/155] eta: 0:01:43 time: 0.7633 data_time: 0.4914 memory: 3270 2022/08/09 07:16:00 - mmengine - INFO - Epoch(val) [27][40/155] eta: 0:00:58 time: 0.5069 data_time: 0.2382 memory: 3270 2022/08/09 07:16:13 - mmengine - INFO - Epoch(val) [27][60/155] eta: 0:01:01 time: 0.6505 data_time: 0.3783 memory: 3270 2022/08/09 07:16:23 - mmengine - INFO - Epoch(val) [27][80/155] eta: 0:00:39 time: 0.5210 data_time: 0.2493 memory: 3270 2022/08/09 07:16:36 - mmengine - INFO - Epoch(val) [27][100/155] eta: 0:00:35 time: 0.6524 data_time: 0.3794 memory: 3270 2022/08/09 07:16:47 - mmengine - INFO - Epoch(val) [27][120/155] eta: 0:00:18 time: 0.5404 data_time: 0.2698 memory: 3270 2022/08/09 07:17:01 - mmengine - INFO - Epoch(val) [27][140/155] eta: 0:00:10 time: 0.7002 data_time: 0.4305 memory: 3270 2022/08/09 07:17:10 - mmengine - INFO - Epoch(val) [27][155/155] acc/top1: 0.7203 acc/top5: 0.9040 acc/mean1: 0.7203 2022/08/09 07:17:10 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_27.pth is removed 2022/08/09 07:17:11 - mmengine - INFO - The best checkpoint with 0.7203 acc/top1 at 28 epoch is saved to best_acc/top1_epoch_28.pth. 2022/08/09 07:17:37 - mmengine - INFO - Epoch(train) [28][20/1879] lr: 2.0000e-03 eta: 12:28:35 time: 1.2997 data_time: 0.2782 memory: 27035 grad_norm: 3.5714 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1238 loss: 1.1238 2022/08/09 07:17:57 - mmengine - INFO - Epoch(train) [28][40/1879] lr: 2.0000e-03 eta: 12:28:14 time: 1.0333 data_time: 0.0291 memory: 27035 grad_norm: 3.3657 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8234 loss: 0.8234 2022/08/09 07:18:18 - mmengine - INFO - Epoch(train) [28][60/1879] lr: 2.0000e-03 eta: 12:27:54 time: 1.0326 data_time: 0.0262 memory: 27035 grad_norm: 3.5040 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0983 loss: 1.0983 2022/08/09 07:18:39 - mmengine - INFO - Epoch(train) [28][80/1879] lr: 2.0000e-03 eta: 12:27:33 time: 1.0296 data_time: 0.0249 memory: 27035 grad_norm: 3.3739 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9007 loss: 0.9007 2022/08/09 07:18:59 - mmengine - INFO - Epoch(train) [28][100/1879] lr: 2.0000e-03 eta: 12:27:12 time: 1.0299 data_time: 0.0256 memory: 27035 grad_norm: 3.4771 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0245 loss: 1.0245 2022/08/09 07:19:20 - mmengine - INFO - Epoch(train) [28][120/1879] lr: 2.0000e-03 eta: 12:26:51 time: 1.0366 data_time: 0.0240 memory: 27035 grad_norm: 3.4230 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0733 loss: 1.0733 2022/08/09 07:19:41 - mmengine - INFO - Epoch(train) [28][140/1879] lr: 2.0000e-03 eta: 12:26:30 time: 1.0294 data_time: 0.0246 memory: 27035 grad_norm: 3.3815 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9555 loss: 0.9555 2022/08/09 07:20:01 - mmengine - INFO - Epoch(train) [28][160/1879] lr: 2.0000e-03 eta: 12:26:09 time: 1.0312 data_time: 0.0249 memory: 27035 grad_norm: 3.5351 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0607 loss: 1.0607 2022/08/09 07:20:22 - mmengine - INFO - Epoch(train) [28][180/1879] lr: 2.0000e-03 eta: 12:25:48 time: 1.0439 data_time: 0.0283 memory: 27035 grad_norm: 3.3936 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9953 loss: 0.9953 2022/08/09 07:20:43 - mmengine - INFO - Epoch(train) [28][200/1879] lr: 2.0000e-03 eta: 12:25:27 time: 1.0352 data_time: 0.0306 memory: 27035 grad_norm: 3.4482 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9392 loss: 0.9392 2022/08/09 07:21:03 - mmengine - INFO - Epoch(train) [28][220/1879] lr: 2.0000e-03 eta: 12:25:06 time: 1.0333 data_time: 0.0303 memory: 27035 grad_norm: 3.4648 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0439 loss: 1.0439 2022/08/09 07:21:24 - mmengine - INFO - Epoch(train) [28][240/1879] lr: 2.0000e-03 eta: 12:24:45 time: 1.0312 data_time: 0.0246 memory: 27035 grad_norm: 3.6138 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8821 loss: 0.8821 2022/08/09 07:21:45 - mmengine - INFO - Epoch(train) [28][260/1879] lr: 2.0000e-03 eta: 12:24:24 time: 1.0268 data_time: 0.0253 memory: 27035 grad_norm: 3.5324 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.0185 loss: 1.0185 2022/08/09 07:21:52 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 07:22:05 - mmengine - INFO - Epoch(train) [28][280/1879] lr: 2.0000e-03 eta: 12:24:03 time: 1.0329 data_time: 0.0243 memory: 27035 grad_norm: 3.4048 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7666 loss: 0.7666 2022/08/09 07:22:26 - mmengine - INFO - Epoch(train) [28][300/1879] lr: 2.0000e-03 eta: 12:23:42 time: 1.0258 data_time: 0.0246 memory: 27035 grad_norm: 3.4744 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8754 loss: 0.8754 2022/08/09 07:22:46 - mmengine - INFO - Epoch(train) [28][320/1879] lr: 2.0000e-03 eta: 12:23:21 time: 1.0279 data_time: 0.0245 memory: 27035 grad_norm: 3.3977 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9526 loss: 0.9526 2022/08/09 07:23:07 - mmengine - INFO - Epoch(train) [28][340/1879] lr: 2.0000e-03 eta: 12:23:01 time: 1.0302 data_time: 0.0259 memory: 27035 grad_norm: 3.4829 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9147 loss: 0.9147 2022/08/09 07:23:28 - mmengine - INFO - Epoch(train) [28][360/1879] lr: 2.0000e-03 eta: 12:22:40 time: 1.0275 data_time: 0.0240 memory: 27035 grad_norm: 3.4457 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9083 loss: 0.9083 2022/08/09 07:23:48 - mmengine - INFO - Epoch(train) [28][380/1879] lr: 2.0000e-03 eta: 12:22:19 time: 1.0284 data_time: 0.0247 memory: 27035 grad_norm: 3.5329 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0715 loss: 1.0715 2022/08/09 07:24:09 - mmengine - INFO - Epoch(train) [28][400/1879] lr: 2.0000e-03 eta: 12:21:58 time: 1.0263 data_time: 0.0254 memory: 27035 grad_norm: 3.5800 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8543 loss: 0.8543 2022/08/09 07:24:29 - mmengine - INFO - Epoch(train) [28][420/1879] lr: 2.0000e-03 eta: 12:21:37 time: 1.0333 data_time: 0.0306 memory: 27035 grad_norm: 3.4760 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9319 loss: 0.9319 2022/08/09 07:24:50 - mmengine - INFO - Epoch(train) [28][440/1879] lr: 2.0000e-03 eta: 12:21:16 time: 1.0257 data_time: 0.0258 memory: 27035 grad_norm: 3.4234 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9002 loss: 0.9002 2022/08/09 07:25:11 - mmengine - INFO - Epoch(train) [28][460/1879] lr: 2.0000e-03 eta: 12:20:55 time: 1.0390 data_time: 0.0264 memory: 27035 grad_norm: 3.5399 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8877 loss: 0.8877 2022/08/09 07:25:31 - mmengine - INFO - Epoch(train) [28][480/1879] lr: 2.0000e-03 eta: 12:20:34 time: 1.0308 data_time: 0.0240 memory: 27035 grad_norm: 3.3933 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9019 loss: 0.9019 2022/08/09 07:25:52 - mmengine - INFO - Epoch(train) [28][500/1879] lr: 2.0000e-03 eta: 12:20:13 time: 1.0256 data_time: 0.0238 memory: 27035 grad_norm: 3.5738 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0180 loss: 1.0180 2022/08/09 07:26:12 - mmengine - INFO - Epoch(train) [28][520/1879] lr: 2.0000e-03 eta: 12:19:52 time: 1.0325 data_time: 0.0242 memory: 27035 grad_norm: 3.3761 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0188 loss: 1.0188 2022/08/09 07:26:33 - mmengine - INFO - Epoch(train) [28][540/1879] lr: 2.0000e-03 eta: 12:19:31 time: 1.0283 data_time: 0.0244 memory: 27035 grad_norm: 3.4421 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7056 loss: 0.7056 2022/08/09 07:26:54 - mmengine - INFO - Epoch(train) [28][560/1879] lr: 2.0000e-03 eta: 12:19:10 time: 1.0306 data_time: 0.0248 memory: 27035 grad_norm: 3.4445 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8607 loss: 0.8607 2022/08/09 07:27:15 - mmengine - INFO - Epoch(train) [28][580/1879] lr: 2.0000e-03 eta: 12:18:49 time: 1.0447 data_time: 0.0414 memory: 27035 grad_norm: 3.5183 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9653 loss: 0.9653 2022/08/09 07:27:35 - mmengine - INFO - Epoch(train) [28][600/1879] lr: 2.0000e-03 eta: 12:18:28 time: 1.0278 data_time: 0.0247 memory: 27035 grad_norm: 3.4254 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9122 loss: 0.9122 2022/08/09 07:27:56 - mmengine - INFO - Epoch(train) [28][620/1879] lr: 2.0000e-03 eta: 12:18:07 time: 1.0310 data_time: 0.0251 memory: 27035 grad_norm: 3.4015 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7251 loss: 0.7251 2022/08/09 07:28:16 - mmengine - INFO - Epoch(train) [28][640/1879] lr: 2.0000e-03 eta: 12:17:46 time: 1.0278 data_time: 0.0247 memory: 27035 grad_norm: 3.5071 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9916 loss: 0.9916 2022/08/09 07:28:37 - mmengine - INFO - Epoch(train) [28][660/1879] lr: 2.0000e-03 eta: 12:17:25 time: 1.0325 data_time: 0.0255 memory: 27035 grad_norm: 3.5494 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0029 loss: 1.0029 2022/08/09 07:28:58 - mmengine - INFO - Epoch(train) [28][680/1879] lr: 2.0000e-03 eta: 12:17:04 time: 1.0270 data_time: 0.0245 memory: 27035 grad_norm: 3.4650 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0097 loss: 1.0097 2022/08/09 07:29:18 - mmengine - INFO - Epoch(train) [28][700/1879] lr: 2.0000e-03 eta: 12:16:43 time: 1.0283 data_time: 0.0258 memory: 27035 grad_norm: 3.4825 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8973 loss: 0.8973 2022/08/09 07:29:39 - mmengine - INFO - Epoch(train) [28][720/1879] lr: 2.0000e-03 eta: 12:16:22 time: 1.0313 data_time: 0.0253 memory: 27035 grad_norm: 3.4316 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9314 loss: 0.9314 2022/08/09 07:29:59 - mmengine - INFO - Epoch(train) [28][740/1879] lr: 2.0000e-03 eta: 12:16:02 time: 1.0288 data_time: 0.0253 memory: 27035 grad_norm: 3.5016 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0036 loss: 1.0036 2022/08/09 07:30:21 - mmengine - INFO - Epoch(train) [28][760/1879] lr: 2.0000e-03 eta: 12:15:41 time: 1.0691 data_time: 0.0342 memory: 27035 grad_norm: 3.4721 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9174 loss: 0.9174 2022/08/09 07:30:41 - mmengine - INFO - Epoch(train) [28][780/1879] lr: 2.0000e-03 eta: 12:15:20 time: 1.0297 data_time: 0.0236 memory: 27035 grad_norm: 3.6326 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9831 loss: 0.9831 2022/08/09 07:31:02 - mmengine - INFO - Epoch(train) [28][800/1879] lr: 2.0000e-03 eta: 12:14:59 time: 1.0291 data_time: 0.0244 memory: 27035 grad_norm: 3.3648 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7820 loss: 0.7820 2022/08/09 07:31:22 - mmengine - INFO - Epoch(train) [28][820/1879] lr: 2.0000e-03 eta: 12:14:38 time: 1.0285 data_time: 0.0246 memory: 27035 grad_norm: 3.5444 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9499 loss: 0.9499 2022/08/09 07:31:43 - mmengine - INFO - Epoch(train) [28][840/1879] lr: 2.0000e-03 eta: 12:14:17 time: 1.0327 data_time: 0.0249 memory: 27035 grad_norm: 3.5769 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8662 loss: 0.8662 2022/08/09 07:32:04 - mmengine - INFO - Epoch(train) [28][860/1879] lr: 2.0000e-03 eta: 12:13:56 time: 1.0267 data_time: 0.0241 memory: 27035 grad_norm: 3.5588 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.0386 loss: 1.0386 2022/08/09 07:32:24 - mmengine - INFO - Epoch(train) [28][880/1879] lr: 2.0000e-03 eta: 12:13:35 time: 1.0299 data_time: 0.0247 memory: 27035 grad_norm: 3.4168 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9885 loss: 0.9885 2022/08/09 07:32:45 - mmengine - INFO - Epoch(train) [28][900/1879] lr: 2.0000e-03 eta: 12:13:15 time: 1.0314 data_time: 0.0248 memory: 27035 grad_norm: 3.4268 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9518 loss: 0.9518 2022/08/09 07:33:06 - mmengine - INFO - Epoch(train) [28][920/1879] lr: 2.0000e-03 eta: 12:12:54 time: 1.0314 data_time: 0.0231 memory: 27035 grad_norm: 3.5097 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9289 loss: 0.9289 2022/08/09 07:33:26 - mmengine - INFO - Epoch(train) [28][940/1879] lr: 2.0000e-03 eta: 12:12:33 time: 1.0360 data_time: 0.0244 memory: 27035 grad_norm: 3.3913 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8430 loss: 0.8430 2022/08/09 07:33:47 - mmengine - INFO - Epoch(train) [28][960/1879] lr: 2.0000e-03 eta: 12:12:12 time: 1.0280 data_time: 0.0239 memory: 27035 grad_norm: 3.5857 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0402 loss: 1.0402 2022/08/09 07:34:07 - mmengine - INFO - Epoch(train) [28][980/1879] lr: 2.0000e-03 eta: 12:11:51 time: 1.0333 data_time: 0.0253 memory: 27035 grad_norm: 3.5186 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0335 loss: 1.0335 2022/08/09 07:34:28 - mmengine - INFO - Epoch(train) [28][1000/1879] lr: 2.0000e-03 eta: 12:11:30 time: 1.0316 data_time: 0.0249 memory: 27035 grad_norm: 3.5819 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8400 loss: 0.8400 2022/08/09 07:34:49 - mmengine - INFO - Epoch(train) [28][1020/1879] lr: 2.0000e-03 eta: 12:11:09 time: 1.0300 data_time: 0.0247 memory: 27035 grad_norm: 3.5353 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2824 loss: 1.2824 2022/08/09 07:35:09 - mmengine - INFO - Epoch(train) [28][1040/1879] lr: 2.0000e-03 eta: 12:10:48 time: 1.0336 data_time: 0.0243 memory: 27035 grad_norm: 3.5081 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9316 loss: 0.9316 2022/08/09 07:35:30 - mmengine - INFO - Epoch(train) [28][1060/1879] lr: 2.0000e-03 eta: 12:10:27 time: 1.0304 data_time: 0.0261 memory: 27035 grad_norm: 3.5175 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8687 loss: 0.8687 2022/08/09 07:35:51 - mmengine - INFO - Epoch(train) [28][1080/1879] lr: 2.0000e-03 eta: 12:10:06 time: 1.0305 data_time: 0.0254 memory: 27035 grad_norm: 3.4467 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8698 loss: 0.8698 2022/08/09 07:36:11 - mmengine - INFO - Epoch(train) [28][1100/1879] lr: 2.0000e-03 eta: 12:09:45 time: 1.0300 data_time: 0.0244 memory: 27035 grad_norm: 3.5023 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0626 loss: 1.0626 2022/08/09 07:36:32 - mmengine - INFO - Epoch(train) [28][1120/1879] lr: 2.0000e-03 eta: 12:09:24 time: 1.0346 data_time: 0.0307 memory: 27035 grad_norm: 3.5111 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8427 loss: 0.8427 2022/08/09 07:36:53 - mmengine - INFO - Epoch(train) [28][1140/1879] lr: 2.0000e-03 eta: 12:09:03 time: 1.0317 data_time: 0.0250 memory: 27035 grad_norm: 3.5452 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0723 loss: 1.0723 2022/08/09 07:37:13 - mmengine - INFO - Epoch(train) [28][1160/1879] lr: 2.0000e-03 eta: 12:08:43 time: 1.0450 data_time: 0.0409 memory: 27035 grad_norm: 3.4930 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8275 loss: 0.8275 2022/08/09 07:37:34 - mmengine - INFO - Epoch(train) [28][1180/1879] lr: 2.0000e-03 eta: 12:08:22 time: 1.0314 data_time: 0.0247 memory: 27035 grad_norm: 3.4553 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9085 loss: 0.9085 2022/08/09 07:37:55 - mmengine - INFO - Epoch(train) [28][1200/1879] lr: 2.0000e-03 eta: 12:08:01 time: 1.0331 data_time: 0.0252 memory: 27035 grad_norm: 3.4888 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9234 loss: 0.9234 2022/08/09 07:38:15 - mmengine - INFO - Epoch(train) [28][1220/1879] lr: 2.0000e-03 eta: 12:07:40 time: 1.0305 data_time: 0.0267 memory: 27035 grad_norm: 3.3385 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9210 loss: 0.9210 2022/08/09 07:38:36 - mmengine - INFO - Epoch(train) [28][1240/1879] lr: 2.0000e-03 eta: 12:07:19 time: 1.0298 data_time: 0.0241 memory: 27035 grad_norm: 3.5362 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0276 loss: 1.0276 2022/08/09 07:38:57 - mmengine - INFO - Epoch(train) [28][1260/1879] lr: 2.0000e-03 eta: 12:06:58 time: 1.0308 data_time: 0.0241 memory: 27035 grad_norm: 3.4484 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8886 loss: 0.8886 2022/08/09 07:39:04 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 07:39:17 - mmengine - INFO - Epoch(train) [28][1280/1879] lr: 2.0000e-03 eta: 12:06:37 time: 1.0278 data_time: 0.0249 memory: 27035 grad_norm: 3.4613 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9623 loss: 0.9623 2022/08/09 07:39:38 - mmengine - INFO - Epoch(train) [28][1300/1879] lr: 2.0000e-03 eta: 12:06:16 time: 1.0308 data_time: 0.0250 memory: 27035 grad_norm: 3.4856 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9722 loss: 0.9722 2022/08/09 07:39:58 - mmengine - INFO - Epoch(train) [28][1320/1879] lr: 2.0000e-03 eta: 12:05:55 time: 1.0297 data_time: 0.0253 memory: 27035 grad_norm: 3.5961 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9783 loss: 0.9783 2022/08/09 07:40:19 - mmengine - INFO - Epoch(train) [28][1340/1879] lr: 2.0000e-03 eta: 12:05:35 time: 1.0468 data_time: 0.0275 memory: 27035 grad_norm: 3.5685 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7476 loss: 0.7476 2022/08/09 07:40:40 - mmengine - INFO - Epoch(train) [28][1360/1879] lr: 2.0000e-03 eta: 12:05:14 time: 1.0307 data_time: 0.0252 memory: 27035 grad_norm: 3.4471 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0077 loss: 1.0077 2022/08/09 07:41:01 - mmengine - INFO - Epoch(train) [28][1380/1879] lr: 2.0000e-03 eta: 12:04:53 time: 1.0314 data_time: 0.0263 memory: 27035 grad_norm: 3.5044 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9211 loss: 0.9211 2022/08/09 07:41:23 - mmengine - INFO - Epoch(train) [28][1400/1879] lr: 2.0000e-03 eta: 12:04:33 time: 1.1046 data_time: 0.0256 memory: 27035 grad_norm: 3.5719 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0567 loss: 1.0567 2022/08/09 07:41:43 - mmengine - INFO - Epoch(train) [28][1420/1879] lr: 2.0000e-03 eta: 12:04:12 time: 1.0287 data_time: 0.0247 memory: 27035 grad_norm: 3.5388 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9999 loss: 0.9999 2022/08/09 07:42:04 - mmengine - INFO - Epoch(train) [28][1440/1879] lr: 2.0000e-03 eta: 12:03:51 time: 1.0316 data_time: 0.0248 memory: 27035 grad_norm: 3.4698 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.0361 loss: 1.0361 2022/08/09 07:42:24 - mmengine - INFO - Epoch(train) [28][1460/1879] lr: 2.0000e-03 eta: 12:03:30 time: 1.0272 data_time: 0.0243 memory: 27035 grad_norm: 3.5477 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0082 loss: 1.0082 2022/08/09 07:42:45 - mmengine - INFO - Epoch(train) [28][1480/1879] lr: 2.0000e-03 eta: 12:03:09 time: 1.0295 data_time: 0.0246 memory: 27035 grad_norm: 3.5726 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8756 loss: 0.8756 2022/08/09 07:43:06 - mmengine - INFO - Epoch(train) [28][1500/1879] lr: 2.0000e-03 eta: 12:02:48 time: 1.0280 data_time: 0.0262 memory: 27035 grad_norm: 3.4796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9232 loss: 0.9232 2022/08/09 07:43:26 - mmengine - INFO - Epoch(train) [28][1520/1879] lr: 2.0000e-03 eta: 12:02:27 time: 1.0328 data_time: 0.0264 memory: 27035 grad_norm: 3.5733 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0682 loss: 1.0682 2022/08/09 07:43:47 - mmengine - INFO - Epoch(train) [28][1540/1879] lr: 2.0000e-03 eta: 12:02:06 time: 1.0287 data_time: 0.0257 memory: 27035 grad_norm: 3.5382 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0823 loss: 1.0823 2022/08/09 07:44:08 - mmengine - INFO - Epoch(train) [28][1560/1879] lr: 2.0000e-03 eta: 12:01:45 time: 1.0298 data_time: 0.0253 memory: 27035 grad_norm: 3.6755 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0789 loss: 1.0789 2022/08/09 07:44:28 - mmengine - INFO - Epoch(train) [28][1580/1879] lr: 2.0000e-03 eta: 12:01:24 time: 1.0308 data_time: 0.0245 memory: 27035 grad_norm: 3.6010 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1162 loss: 1.1162 2022/08/09 07:44:49 - mmengine - INFO - Epoch(train) [28][1600/1879] lr: 2.0000e-03 eta: 12:01:03 time: 1.0298 data_time: 0.0245 memory: 27035 grad_norm: 3.5302 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9593 loss: 0.9593 2022/08/09 07:45:09 - mmengine - INFO - Epoch(train) [28][1620/1879] lr: 2.0000e-03 eta: 12:00:42 time: 1.0281 data_time: 0.0246 memory: 27035 grad_norm: 3.4186 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8414 loss: 0.8414 2022/08/09 07:45:30 - mmengine - INFO - Epoch(train) [28][1640/1879] lr: 2.0000e-03 eta: 12:00:22 time: 1.0280 data_time: 0.0248 memory: 27035 grad_norm: 3.5648 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0435 loss: 1.0435 2022/08/09 07:45:51 - mmengine - INFO - Epoch(train) [28][1660/1879] lr: 2.0000e-03 eta: 12:00:01 time: 1.0326 data_time: 0.0260 memory: 27035 grad_norm: 3.5397 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9024 loss: 0.9024 2022/08/09 07:46:11 - mmengine - INFO - Epoch(train) [28][1680/1879] lr: 2.0000e-03 eta: 11:59:40 time: 1.0321 data_time: 0.0259 memory: 27035 grad_norm: 3.3963 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9409 loss: 0.9409 2022/08/09 07:46:32 - mmengine - INFO - Epoch(train) [28][1700/1879] lr: 2.0000e-03 eta: 11:59:19 time: 1.0345 data_time: 0.0249 memory: 27035 grad_norm: 3.5197 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9812 loss: 0.9812 2022/08/09 07:46:52 - mmengine - INFO - Epoch(train) [28][1720/1879] lr: 2.0000e-03 eta: 11:58:58 time: 1.0299 data_time: 0.0248 memory: 27035 grad_norm: 3.5571 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8109 loss: 0.8109 2022/08/09 07:47:13 - mmengine - INFO - Epoch(train) [28][1740/1879] lr: 2.0000e-03 eta: 11:58:37 time: 1.0503 data_time: 0.0492 memory: 27035 grad_norm: 3.6404 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9738 loss: 0.9738 2022/08/09 07:47:34 - mmengine - INFO - Epoch(train) [28][1760/1879] lr: 2.0000e-03 eta: 11:58:16 time: 1.0298 data_time: 0.0262 memory: 27035 grad_norm: 3.6306 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8886 loss: 0.8886 2022/08/09 07:47:55 - mmengine - INFO - Epoch(train) [28][1780/1879] lr: 2.0000e-03 eta: 11:57:55 time: 1.0296 data_time: 0.0248 memory: 27035 grad_norm: 3.3611 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9240 loss: 0.9240 2022/08/09 07:48:15 - mmengine - INFO - Epoch(train) [28][1800/1879] lr: 2.0000e-03 eta: 11:57:34 time: 1.0305 data_time: 0.0261 memory: 27035 grad_norm: 3.4556 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9903 loss: 0.9903 2022/08/09 07:48:36 - mmengine - INFO - Epoch(train) [28][1820/1879] lr: 2.0000e-03 eta: 11:57:13 time: 1.0292 data_time: 0.0259 memory: 27035 grad_norm: 3.5013 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9237 loss: 0.9237 2022/08/09 07:48:57 - mmengine - INFO - Epoch(train) [28][1840/1879] lr: 2.0000e-03 eta: 11:56:53 time: 1.0334 data_time: 0.0276 memory: 27035 grad_norm: 3.6034 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9209 loss: 0.9209 2022/08/09 07:49:17 - mmengine - INFO - Epoch(train) [28][1860/1879] lr: 2.0000e-03 eta: 11:56:32 time: 1.0351 data_time: 0.0249 memory: 27035 grad_norm: 3.5439 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8381 loss: 0.8381 2022/08/09 07:49:37 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 07:49:37 - mmengine - INFO - Epoch(train) [28][1879/1879] lr: 2.0000e-03 eta: 11:56:32 time: 1.0214 data_time: 0.0338 memory: 27035 grad_norm: 3.6421 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9662 loss: 0.9662 2022/08/09 07:49:52 - mmengine - INFO - Epoch(val) [28][20/155] eta: 0:01:42 time: 0.7625 data_time: 0.4896 memory: 3270 2022/08/09 07:50:02 - mmengine - INFO - Epoch(val) [28][40/155] eta: 0:00:57 time: 0.4978 data_time: 0.2281 memory: 3270 2022/08/09 07:50:17 - mmengine - INFO - Epoch(val) [28][60/155] eta: 0:01:09 time: 0.7324 data_time: 0.4631 memory: 3270 2022/08/09 07:50:28 - mmengine - INFO - Epoch(val) [28][80/155] eta: 0:00:41 time: 0.5534 data_time: 0.2835 memory: 3270 2022/08/09 07:50:41 - mmengine - INFO - Epoch(val) [28][100/155] eta: 0:00:37 time: 0.6856 data_time: 0.4146 memory: 3270 2022/08/09 07:50:52 - mmengine - INFO - Epoch(val) [28][120/155] eta: 0:00:18 time: 0.5228 data_time: 0.2486 memory: 3270 2022/08/09 07:51:05 - mmengine - INFO - Epoch(val) [28][140/155] eta: 0:00:10 time: 0.6763 data_time: 0.4053 memory: 3270 2022/08/09 07:51:15 - mmengine - INFO - Epoch(val) [28][155/155] acc/top1: 0.7216 acc/top5: 0.9042 acc/mean1: 0.7215 2022/08/09 07:51:15 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_28.pth is removed 2022/08/09 07:51:16 - mmengine - INFO - The best checkpoint with 0.7216 acc/top1 at 29 epoch is saved to best_acc/top1_epoch_29.pth. 2022/08/09 07:51:41 - mmengine - INFO - Epoch(train) [29][20/1879] lr: 2.0000e-03 eta: 11:55:39 time: 1.2446 data_time: 0.2166 memory: 27035 grad_norm: 3.3298 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7990 loss: 0.7990 2022/08/09 07:52:02 - mmengine - INFO - Epoch(train) [29][40/1879] lr: 2.0000e-03 eta: 11:55:18 time: 1.0267 data_time: 0.0250 memory: 27035 grad_norm: 3.4970 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8294 loss: 0.8294 2022/08/09 07:52:22 - mmengine - INFO - Epoch(train) [29][60/1879] lr: 2.0000e-03 eta: 11:54:57 time: 1.0293 data_time: 0.0258 memory: 27035 grad_norm: 3.5054 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7887 loss: 0.7887 2022/08/09 07:52:43 - mmengine - INFO - Epoch(train) [29][80/1879] lr: 2.0000e-03 eta: 11:54:36 time: 1.0293 data_time: 0.0250 memory: 27035 grad_norm: 3.5058 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6664 loss: 0.6664 2022/08/09 07:53:03 - mmengine - INFO - Epoch(train) [29][100/1879] lr: 2.0000e-03 eta: 11:54:15 time: 1.0310 data_time: 0.0256 memory: 27035 grad_norm: 3.4895 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9397 loss: 0.9397 2022/08/09 07:53:24 - mmengine - INFO - Epoch(train) [29][120/1879] lr: 2.0000e-03 eta: 11:53:54 time: 1.0320 data_time: 0.0253 memory: 27035 grad_norm: 3.4594 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7759 loss: 0.7759 2022/08/09 07:53:45 - mmengine - INFO - Epoch(train) [29][140/1879] lr: 2.0000e-03 eta: 11:53:33 time: 1.0277 data_time: 0.0248 memory: 27035 grad_norm: 3.3729 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8629 loss: 0.8629 2022/08/09 07:54:05 - mmengine - INFO - Epoch(train) [29][160/1879] lr: 2.0000e-03 eta: 11:53:12 time: 1.0374 data_time: 0.0312 memory: 27035 grad_norm: 3.4121 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8609 loss: 0.8609 2022/08/09 07:54:26 - mmengine - INFO - Epoch(train) [29][180/1879] lr: 2.0000e-03 eta: 11:52:52 time: 1.0316 data_time: 0.0254 memory: 27035 grad_norm: 3.4307 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8103 loss: 0.8103 2022/08/09 07:54:47 - mmengine - INFO - Epoch(train) [29][200/1879] lr: 2.0000e-03 eta: 11:52:31 time: 1.0297 data_time: 0.0248 memory: 27035 grad_norm: 3.5229 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9287 loss: 0.9287 2022/08/09 07:55:07 - mmengine - INFO - Epoch(train) [29][220/1879] lr: 2.0000e-03 eta: 11:52:10 time: 1.0302 data_time: 0.0256 memory: 27035 grad_norm: 3.4779 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8851 loss: 0.8851 2022/08/09 07:55:28 - mmengine - INFO - Epoch(train) [29][240/1879] lr: 2.0000e-03 eta: 11:51:49 time: 1.0348 data_time: 0.0340 memory: 27035 grad_norm: 3.5303 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8877 loss: 0.8877 2022/08/09 07:55:49 - mmengine - INFO - Epoch(train) [29][260/1879] lr: 2.0000e-03 eta: 11:51:28 time: 1.0295 data_time: 0.0255 memory: 27035 grad_norm: 3.4506 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9063 loss: 0.9063 2022/08/09 07:56:09 - mmengine - INFO - Epoch(train) [29][280/1879] lr: 2.0000e-03 eta: 11:51:07 time: 1.0254 data_time: 0.0252 memory: 27035 grad_norm: 3.5419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8754 loss: 0.8754 2022/08/09 07:56:30 - mmengine - INFO - Epoch(train) [29][300/1879] lr: 2.0000e-03 eta: 11:50:46 time: 1.0284 data_time: 0.0255 memory: 27035 grad_norm: 3.4576 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8490 loss: 0.8490 2022/08/09 07:56:50 - mmengine - INFO - Epoch(train) [29][320/1879] lr: 2.0000e-03 eta: 11:50:25 time: 1.0248 data_time: 0.0245 memory: 27035 grad_norm: 3.6103 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0033 loss: 1.0033 2022/08/09 07:57:11 - mmengine - INFO - Epoch(train) [29][340/1879] lr: 2.0000e-03 eta: 11:50:04 time: 1.0276 data_time: 0.0255 memory: 27035 grad_norm: 3.5568 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9677 loss: 0.9677 2022/08/09 07:57:32 - mmengine - INFO - Epoch(train) [29][360/1879] lr: 2.0000e-03 eta: 11:49:43 time: 1.0529 data_time: 0.0248 memory: 27035 grad_norm: 3.5740 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8656 loss: 0.8656 2022/08/09 07:57:52 - mmengine - INFO - Epoch(train) [29][380/1879] lr: 2.0000e-03 eta: 11:49:22 time: 1.0273 data_time: 0.0249 memory: 27035 grad_norm: 3.5811 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8732 loss: 0.8732 2022/08/09 07:58:01 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 07:58:13 - mmengine - INFO - Epoch(train) [29][400/1879] lr: 2.0000e-03 eta: 11:49:02 time: 1.0290 data_time: 0.0256 memory: 27035 grad_norm: 3.5766 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9002 loss: 0.9002 2022/08/09 07:58:34 - mmengine - INFO - Epoch(train) [29][420/1879] lr: 2.0000e-03 eta: 11:48:41 time: 1.0321 data_time: 0.0267 memory: 27035 grad_norm: 3.5444 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9625 loss: 0.9625 2022/08/09 07:58:54 - mmengine - INFO - Epoch(train) [29][440/1879] lr: 2.0000e-03 eta: 11:48:20 time: 1.0282 data_time: 0.0251 memory: 27035 grad_norm: 3.5874 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0084 loss: 1.0084 2022/08/09 07:59:15 - mmengine - INFO - Epoch(train) [29][460/1879] lr: 2.0000e-03 eta: 11:47:59 time: 1.0291 data_time: 0.0255 memory: 27035 grad_norm: 3.6515 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9414 loss: 0.9414 2022/08/09 07:59:35 - mmengine - INFO - Epoch(train) [29][480/1879] lr: 2.0000e-03 eta: 11:47:38 time: 1.0261 data_time: 0.0247 memory: 27035 grad_norm: 3.4952 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8926 loss: 0.8926 2022/08/09 07:59:56 - mmengine - INFO - Epoch(train) [29][500/1879] lr: 2.0000e-03 eta: 11:47:17 time: 1.0311 data_time: 0.0262 memory: 27035 grad_norm: 3.5673 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9654 loss: 0.9654 2022/08/09 08:00:16 - mmengine - INFO - Epoch(train) [29][520/1879] lr: 2.0000e-03 eta: 11:46:56 time: 1.0310 data_time: 0.0262 memory: 27035 grad_norm: 3.4857 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9009 loss: 0.9009 2022/08/09 08:00:37 - mmengine - INFO - Epoch(train) [29][540/1879] lr: 2.0000e-03 eta: 11:46:35 time: 1.0334 data_time: 0.0262 memory: 27035 grad_norm: 3.5466 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9560 loss: 0.9560 2022/08/09 08:00:58 - mmengine - INFO - Epoch(train) [29][560/1879] lr: 2.0000e-03 eta: 11:46:14 time: 1.0318 data_time: 0.0247 memory: 27035 grad_norm: 3.5148 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8354 loss: 0.8354 2022/08/09 08:01:18 - mmengine - INFO - Epoch(train) [29][580/1879] lr: 2.0000e-03 eta: 11:45:53 time: 1.0273 data_time: 0.0247 memory: 27035 grad_norm: 3.5017 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0263 loss: 1.0263 2022/08/09 08:01:39 - mmengine - INFO - Epoch(train) [29][600/1879] lr: 2.0000e-03 eta: 11:45:32 time: 1.0304 data_time: 0.0257 memory: 27035 grad_norm: 3.4828 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9353 loss: 0.9353 2022/08/09 08:01:59 - mmengine - INFO - Epoch(train) [29][620/1879] lr: 2.0000e-03 eta: 11:45:11 time: 1.0276 data_time: 0.0248 memory: 27035 grad_norm: 3.6408 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9611 loss: 0.9611 2022/08/09 08:02:20 - mmengine - INFO - Epoch(train) [29][640/1879] lr: 2.0000e-03 eta: 11:44:50 time: 1.0288 data_time: 0.0247 memory: 27035 grad_norm: 3.5066 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8635 loss: 0.8635 2022/08/09 08:02:41 - mmengine - INFO - Epoch(train) [29][660/1879] lr: 2.0000e-03 eta: 11:44:29 time: 1.0282 data_time: 0.0252 memory: 27035 grad_norm: 3.6001 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9291 loss: 0.9291 2022/08/09 08:03:01 - mmengine - INFO - Epoch(train) [29][680/1879] lr: 2.0000e-03 eta: 11:44:08 time: 1.0276 data_time: 0.0252 memory: 27035 grad_norm: 3.4829 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9739 loss: 0.9739 2022/08/09 08:03:22 - mmengine - INFO - Epoch(train) [29][700/1879] lr: 2.0000e-03 eta: 11:43:48 time: 1.0325 data_time: 0.0252 memory: 27035 grad_norm: 3.6385 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0566 loss: 1.0566 2022/08/09 08:03:42 - mmengine - INFO - Epoch(train) [29][720/1879] lr: 2.0000e-03 eta: 11:43:27 time: 1.0271 data_time: 0.0254 memory: 27035 grad_norm: 3.5471 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9446 loss: 0.9446 2022/08/09 08:04:03 - mmengine - INFO - Epoch(train) [29][740/1879] lr: 2.0000e-03 eta: 11:43:06 time: 1.0298 data_time: 0.0255 memory: 27035 grad_norm: 3.5220 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9292 loss: 0.9292 2022/08/09 08:04:24 - mmengine - INFO - Epoch(train) [29][760/1879] lr: 2.0000e-03 eta: 11:42:45 time: 1.0277 data_time: 0.0247 memory: 27035 grad_norm: 3.5511 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9903 loss: 0.9903 2022/08/09 08:04:44 - mmengine - INFO - Epoch(train) [29][780/1879] lr: 2.0000e-03 eta: 11:42:24 time: 1.0354 data_time: 0.0249 memory: 27035 grad_norm: 3.4891 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0499 loss: 1.0499 2022/08/09 08:05:05 - mmengine - INFO - Epoch(train) [29][800/1879] lr: 2.0000e-03 eta: 11:42:03 time: 1.0337 data_time: 0.0257 memory: 27035 grad_norm: 3.5364 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0191 loss: 1.0191 2022/08/09 08:05:27 - mmengine - INFO - Epoch(train) [29][820/1879] lr: 2.0000e-03 eta: 11:41:43 time: 1.1190 data_time: 0.1102 memory: 27035 grad_norm: 3.5538 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9751 loss: 0.9751 2022/08/09 08:05:48 - mmengine - INFO - Epoch(train) [29][840/1879] lr: 2.0000e-03 eta: 11:41:23 time: 1.0308 data_time: 0.0270 memory: 27035 grad_norm: 3.5455 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8833 loss: 0.8833 2022/08/09 08:06:09 - mmengine - INFO - Epoch(train) [29][860/1879] lr: 2.0000e-03 eta: 11:41:02 time: 1.0302 data_time: 0.0261 memory: 27035 grad_norm: 3.5488 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9119 loss: 0.9119 2022/08/09 08:06:29 - mmengine - INFO - Epoch(train) [29][880/1879] lr: 2.0000e-03 eta: 11:40:41 time: 1.0333 data_time: 0.0312 memory: 27035 grad_norm: 3.5921 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7455 loss: 0.7455 2022/08/09 08:06:50 - mmengine - INFO - Epoch(train) [29][900/1879] lr: 2.0000e-03 eta: 11:40:20 time: 1.0286 data_time: 0.0240 memory: 27035 grad_norm: 3.5307 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9138 loss: 0.9138 2022/08/09 08:07:10 - mmengine - INFO - Epoch(train) [29][920/1879] lr: 2.0000e-03 eta: 11:39:59 time: 1.0300 data_time: 0.0244 memory: 27035 grad_norm: 3.4897 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0455 loss: 1.0455 2022/08/09 08:07:32 - mmengine - INFO - Epoch(train) [29][940/1879] lr: 2.0000e-03 eta: 11:39:39 time: 1.0728 data_time: 0.0248 memory: 27035 grad_norm: 3.6611 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9760 loss: 0.9760 2022/08/09 08:07:53 - mmengine - INFO - Epoch(train) [29][960/1879] lr: 2.0000e-03 eta: 11:39:18 time: 1.0302 data_time: 0.0239 memory: 27035 grad_norm: 3.6012 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8861 loss: 0.8861 2022/08/09 08:08:13 - mmengine - INFO - Epoch(train) [29][980/1879] lr: 2.0000e-03 eta: 11:38:57 time: 1.0311 data_time: 0.0248 memory: 27035 grad_norm: 3.5306 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9549 loss: 0.9549 2022/08/09 08:08:34 - mmengine - INFO - Epoch(train) [29][1000/1879] lr: 2.0000e-03 eta: 11:38:36 time: 1.0332 data_time: 0.0267 memory: 27035 grad_norm: 3.4860 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9389 loss: 0.9389 2022/08/09 08:08:54 - mmengine - INFO - Epoch(train) [29][1020/1879] lr: 2.0000e-03 eta: 11:38:15 time: 1.0314 data_time: 0.0250 memory: 27035 grad_norm: 3.4482 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8186 loss: 0.8186 2022/08/09 08:09:15 - mmengine - INFO - Epoch(train) [29][1040/1879] lr: 2.0000e-03 eta: 11:37:54 time: 1.0283 data_time: 0.0248 memory: 27035 grad_norm: 3.6006 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8853 loss: 0.8853 2022/08/09 08:09:36 - mmengine - INFO - Epoch(train) [29][1060/1879] lr: 2.0000e-03 eta: 11:37:33 time: 1.0313 data_time: 0.0255 memory: 27035 grad_norm: 3.4956 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8824 loss: 0.8824 2022/08/09 08:09:56 - mmengine - INFO - Epoch(train) [29][1080/1879] lr: 2.0000e-03 eta: 11:37:12 time: 1.0266 data_time: 0.0251 memory: 27035 grad_norm: 3.6576 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0311 loss: 1.0311 2022/08/09 08:10:17 - mmengine - INFO - Epoch(train) [29][1100/1879] lr: 2.0000e-03 eta: 11:36:51 time: 1.0339 data_time: 0.0256 memory: 27035 grad_norm: 3.4669 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9123 loss: 0.9123 2022/08/09 08:10:38 - mmengine - INFO - Epoch(train) [29][1120/1879] lr: 2.0000e-03 eta: 11:36:31 time: 1.0340 data_time: 0.0254 memory: 27035 grad_norm: 3.5115 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8678 loss: 0.8678 2022/08/09 08:10:58 - mmengine - INFO - Epoch(train) [29][1140/1879] lr: 2.0000e-03 eta: 11:36:10 time: 1.0278 data_time: 0.0250 memory: 27035 grad_norm: 3.5548 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9362 loss: 0.9362 2022/08/09 08:11:19 - mmengine - INFO - Epoch(train) [29][1160/1879] lr: 2.0000e-03 eta: 11:35:49 time: 1.0317 data_time: 0.0247 memory: 27035 grad_norm: 3.4266 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8332 loss: 0.8332 2022/08/09 08:11:39 - mmengine - INFO - Epoch(train) [29][1180/1879] lr: 2.0000e-03 eta: 11:35:28 time: 1.0273 data_time: 0.0246 memory: 27035 grad_norm: 3.5505 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9899 loss: 0.9899 2022/08/09 08:12:00 - mmengine - INFO - Epoch(train) [29][1200/1879] lr: 2.0000e-03 eta: 11:35:07 time: 1.0342 data_time: 0.0272 memory: 27035 grad_norm: 3.5279 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0396 loss: 1.0396 2022/08/09 08:12:21 - mmengine - INFO - Epoch(train) [29][1220/1879] lr: 2.0000e-03 eta: 11:34:46 time: 1.0272 data_time: 0.0252 memory: 27035 grad_norm: 3.6093 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8903 loss: 0.8903 2022/08/09 08:12:41 - mmengine - INFO - Epoch(train) [29][1240/1879] lr: 2.0000e-03 eta: 11:34:25 time: 1.0282 data_time: 0.0250 memory: 27035 grad_norm: 3.6728 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1451 loss: 1.1451 2022/08/09 08:13:02 - mmengine - INFO - Epoch(train) [29][1260/1879] lr: 2.0000e-03 eta: 11:34:04 time: 1.0270 data_time: 0.0250 memory: 27035 grad_norm: 3.5727 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9475 loss: 0.9475 2022/08/09 08:13:22 - mmengine - INFO - Epoch(train) [29][1280/1879] lr: 2.0000e-03 eta: 11:33:43 time: 1.0313 data_time: 0.0262 memory: 27035 grad_norm: 3.6052 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8401 loss: 0.8401 2022/08/09 08:13:43 - mmengine - INFO - Epoch(train) [29][1300/1879] lr: 2.0000e-03 eta: 11:33:22 time: 1.0291 data_time: 0.0252 memory: 27035 grad_norm: 3.5980 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0173 loss: 1.0173 2022/08/09 08:14:04 - mmengine - INFO - Epoch(train) [29][1320/1879] lr: 2.0000e-03 eta: 11:33:01 time: 1.0292 data_time: 0.0252 memory: 27035 grad_norm: 3.6471 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0834 loss: 1.0834 2022/08/09 08:14:24 - mmengine - INFO - Epoch(train) [29][1340/1879] lr: 2.0000e-03 eta: 11:32:40 time: 1.0306 data_time: 0.0255 memory: 27035 grad_norm: 3.5947 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9238 loss: 0.9238 2022/08/09 08:14:45 - mmengine - INFO - Epoch(train) [29][1360/1879] lr: 2.0000e-03 eta: 11:32:19 time: 1.0271 data_time: 0.0255 memory: 27035 grad_norm: 3.6978 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9944 loss: 0.9944 2022/08/09 08:15:05 - mmengine - INFO - Epoch(train) [29][1380/1879] lr: 2.0000e-03 eta: 11:31:58 time: 1.0269 data_time: 0.0251 memory: 27035 grad_norm: 3.5416 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9287 loss: 0.9287 2022/08/09 08:15:15 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 08:15:27 - mmengine - INFO - Epoch(train) [29][1400/1879] lr: 2.0000e-03 eta: 11:31:39 time: 1.1094 data_time: 0.0940 memory: 27035 grad_norm: 3.6598 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8964 loss: 0.8964 2022/08/09 08:15:48 - mmengine - INFO - Epoch(train) [29][1420/1879] lr: 2.0000e-03 eta: 11:31:18 time: 1.0310 data_time: 0.0256 memory: 27035 grad_norm: 3.5145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8355 loss: 0.8355 2022/08/09 08:16:09 - mmengine - INFO - Epoch(train) [29][1440/1879] lr: 2.0000e-03 eta: 11:30:57 time: 1.0285 data_time: 0.0254 memory: 27035 grad_norm: 3.4784 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8029 loss: 0.8029 2022/08/09 08:16:29 - mmengine - INFO - Epoch(train) [29][1460/1879] lr: 2.0000e-03 eta: 11:30:36 time: 1.0284 data_time: 0.0253 memory: 27035 grad_norm: 3.5327 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9492 loss: 0.9492 2022/08/09 08:16:50 - mmengine - INFO - Epoch(train) [29][1480/1879] lr: 2.0000e-03 eta: 11:30:15 time: 1.0290 data_time: 0.0252 memory: 27035 grad_norm: 3.6914 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9189 loss: 0.9189 2022/08/09 08:17:10 - mmengine - INFO - Epoch(train) [29][1500/1879] lr: 2.0000e-03 eta: 11:29:54 time: 1.0308 data_time: 0.0248 memory: 27035 grad_norm: 3.4521 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7003 loss: 0.7003 2022/08/09 08:17:32 - mmengine - INFO - Epoch(train) [29][1520/1879] lr: 2.0000e-03 eta: 11:29:34 time: 1.0665 data_time: 0.0314 memory: 27035 grad_norm: 3.6527 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0346 loss: 1.0346 2022/08/09 08:17:52 - mmengine - INFO - Epoch(train) [29][1540/1879] lr: 2.0000e-03 eta: 11:29:13 time: 1.0288 data_time: 0.0254 memory: 27035 grad_norm: 3.5640 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8998 loss: 0.8998 2022/08/09 08:18:13 - mmengine - INFO - Epoch(train) [29][1560/1879] lr: 2.0000e-03 eta: 11:28:52 time: 1.0420 data_time: 0.0376 memory: 27035 grad_norm: 3.6332 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8570 loss: 0.8570 2022/08/09 08:18:34 - mmengine - INFO - Epoch(train) [29][1580/1879] lr: 2.0000e-03 eta: 11:28:31 time: 1.0295 data_time: 0.0252 memory: 27035 grad_norm: 3.5567 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8750 loss: 0.8750 2022/08/09 08:18:54 - mmengine - INFO - Epoch(train) [29][1600/1879] lr: 2.0000e-03 eta: 11:28:10 time: 1.0308 data_time: 0.0247 memory: 27035 grad_norm: 3.5117 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8801 loss: 0.8801 2022/08/09 08:19:15 - mmengine - INFO - Epoch(train) [29][1620/1879] lr: 2.0000e-03 eta: 11:27:49 time: 1.0275 data_time: 0.0251 memory: 27035 grad_norm: 3.4242 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7872 loss: 0.7872 2022/08/09 08:19:36 - mmengine - INFO - Epoch(train) [29][1640/1879] lr: 2.0000e-03 eta: 11:27:28 time: 1.0307 data_time: 0.0254 memory: 27035 grad_norm: 3.5545 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9349 loss: 0.9349 2022/08/09 08:19:56 - mmengine - INFO - Epoch(train) [29][1660/1879] lr: 2.0000e-03 eta: 11:27:07 time: 1.0332 data_time: 0.0308 memory: 27035 grad_norm: 3.5018 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9255 loss: 0.9255 2022/08/09 08:20:17 - mmengine - INFO - Epoch(train) [29][1680/1879] lr: 2.0000e-03 eta: 11:26:47 time: 1.0502 data_time: 0.0303 memory: 27035 grad_norm: 3.5740 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8670 loss: 0.8670 2022/08/09 08:20:38 - mmengine - INFO - Epoch(train) [29][1700/1879] lr: 2.0000e-03 eta: 11:26:26 time: 1.0365 data_time: 0.0261 memory: 27035 grad_norm: 3.6306 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9609 loss: 0.9609 2022/08/09 08:20:59 - mmengine - INFO - Epoch(train) [29][1720/1879] lr: 2.0000e-03 eta: 11:26:05 time: 1.0280 data_time: 0.0251 memory: 27035 grad_norm: 3.5777 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8224 loss: 0.8224 2022/08/09 08:21:19 - mmengine - INFO - Epoch(train) [29][1740/1879] lr: 2.0000e-03 eta: 11:25:44 time: 1.0333 data_time: 0.0254 memory: 27035 grad_norm: 3.5734 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9006 loss: 0.9006 2022/08/09 08:21:40 - mmengine - INFO - Epoch(train) [29][1760/1879] lr: 2.0000e-03 eta: 11:25:23 time: 1.0302 data_time: 0.0251 memory: 27035 grad_norm: 3.5478 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9965 loss: 0.9965 2022/08/09 08:22:00 - mmengine - INFO - Epoch(train) [29][1780/1879] lr: 2.0000e-03 eta: 11:25:02 time: 1.0285 data_time: 0.0257 memory: 27035 grad_norm: 3.4622 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8020 loss: 0.8020 2022/08/09 08:22:21 - mmengine - INFO - Epoch(train) [29][1800/1879] lr: 2.0000e-03 eta: 11:24:41 time: 1.0303 data_time: 0.0240 memory: 27035 grad_norm: 3.7411 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9796 loss: 0.9796 2022/08/09 08:22:42 - mmengine - INFO - Epoch(train) [29][1820/1879] lr: 2.0000e-03 eta: 11:24:21 time: 1.0295 data_time: 0.0251 memory: 27035 grad_norm: 3.5656 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9338 loss: 0.9338 2022/08/09 08:23:02 - mmengine - INFO - Epoch(train) [29][1840/1879] lr: 2.0000e-03 eta: 11:24:00 time: 1.0311 data_time: 0.0257 memory: 27035 grad_norm: 3.5416 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0537 loss: 1.0537 2022/08/09 08:23:23 - mmengine - INFO - Epoch(train) [29][1860/1879] lr: 2.0000e-03 eta: 11:23:39 time: 1.0282 data_time: 0.0260 memory: 27035 grad_norm: 3.5070 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7569 loss: 0.7569 2022/08/09 08:23:42 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 08:23:42 - mmengine - INFO - Epoch(train) [29][1879/1879] lr: 2.0000e-03 eta: 11:23:39 time: 1.0086 data_time: 0.0244 memory: 27035 grad_norm: 3.6762 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.0012 loss: 1.0012 2022/08/09 08:23:58 - mmengine - INFO - Epoch(val) [29][20/155] eta: 0:01:42 time: 0.7575 data_time: 0.4851 memory: 3270 2022/08/09 08:24:08 - mmengine - INFO - Epoch(val) [29][40/155] eta: 0:00:59 time: 0.5164 data_time: 0.2436 memory: 3270 2022/08/09 08:24:21 - mmengine - INFO - Epoch(val) [29][60/155] eta: 0:01:01 time: 0.6504 data_time: 0.3793 memory: 3270 2022/08/09 08:24:31 - mmengine - INFO - Epoch(val) [29][80/155] eta: 0:00:40 time: 0.5337 data_time: 0.2629 memory: 3270 2022/08/09 08:24:44 - mmengine - INFO - Epoch(val) [29][100/155] eta: 0:00:35 time: 0.6532 data_time: 0.3840 memory: 3270 2022/08/09 08:24:56 - mmengine - INFO - Epoch(val) [29][120/155] eta: 0:00:20 time: 0.5861 data_time: 0.3143 memory: 3270 2022/08/09 08:25:16 - mmengine - INFO - Epoch(val) [29][140/155] eta: 0:00:14 time: 0.9804 data_time: 0.7109 memory: 3270 2022/08/09 08:25:24 - mmengine - INFO - Epoch(val) [29][155/155] acc/top1: 0.7224 acc/top5: 0.9078 acc/mean1: 0.7223 2022/08/09 08:25:24 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_29.pth is removed 2022/08/09 08:25:25 - mmengine - INFO - The best checkpoint with 0.7224 acc/top1 at 30 epoch is saved to best_acc/top1_epoch_30.pth. 2022/08/09 08:25:51 - mmengine - INFO - Epoch(train) [30][20/1879] lr: 2.0000e-03 eta: 11:22:47 time: 1.2707 data_time: 0.2430 memory: 27035 grad_norm: 3.4800 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8783 loss: 0.8783 2022/08/09 08:26:11 - mmengine - INFO - Epoch(train) [30][40/1879] lr: 2.0000e-03 eta: 11:22:26 time: 1.0292 data_time: 0.0245 memory: 27035 grad_norm: 3.5207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7983 loss: 0.7983 2022/08/09 08:26:32 - mmengine - INFO - Epoch(train) [30][60/1879] lr: 2.0000e-03 eta: 11:22:05 time: 1.0277 data_time: 0.0244 memory: 27035 grad_norm: 3.5491 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8826 loss: 0.8826 2022/08/09 08:26:52 - mmengine - INFO - Epoch(train) [30][80/1879] lr: 2.0000e-03 eta: 11:21:45 time: 1.0337 data_time: 0.0249 memory: 27035 grad_norm: 3.4750 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9468 loss: 0.9468 2022/08/09 08:27:13 - mmengine - INFO - Epoch(train) [30][100/1879] lr: 2.0000e-03 eta: 11:21:24 time: 1.0436 data_time: 0.0246 memory: 27035 grad_norm: 3.5285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9137 loss: 0.9137 2022/08/09 08:27:34 - mmengine - INFO - Epoch(train) [30][120/1879] lr: 2.0000e-03 eta: 11:21:03 time: 1.0291 data_time: 0.0246 memory: 27035 grad_norm: 3.3857 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9038 loss: 0.9038 2022/08/09 08:27:55 - mmengine - INFO - Epoch(train) [30][140/1879] lr: 2.0000e-03 eta: 11:20:42 time: 1.0315 data_time: 0.0246 memory: 27035 grad_norm: 3.4748 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9667 loss: 0.9667 2022/08/09 08:28:15 - mmengine - INFO - Epoch(train) [30][160/1879] lr: 2.0000e-03 eta: 11:20:21 time: 1.0290 data_time: 0.0247 memory: 27035 grad_norm: 3.5197 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9196 loss: 0.9196 2022/08/09 08:28:36 - mmengine - INFO - Epoch(train) [30][180/1879] lr: 2.0000e-03 eta: 11:20:00 time: 1.0319 data_time: 0.0258 memory: 27035 grad_norm: 3.4789 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7733 loss: 0.7733 2022/08/09 08:28:56 - mmengine - INFO - Epoch(train) [30][200/1879] lr: 2.0000e-03 eta: 11:19:39 time: 1.0316 data_time: 0.0300 memory: 27035 grad_norm: 3.4693 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7498 loss: 0.7498 2022/08/09 08:29:17 - mmengine - INFO - Epoch(train) [30][220/1879] lr: 2.0000e-03 eta: 11:19:18 time: 1.0256 data_time: 0.0246 memory: 27035 grad_norm: 3.5419 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7848 loss: 0.7848 2022/08/09 08:29:37 - mmengine - INFO - Epoch(train) [30][240/1879] lr: 2.0000e-03 eta: 11:18:57 time: 1.0282 data_time: 0.0248 memory: 27035 grad_norm: 3.4465 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8395 loss: 0.8395 2022/08/09 08:29:58 - mmengine - INFO - Epoch(train) [30][260/1879] lr: 2.0000e-03 eta: 11:18:37 time: 1.0292 data_time: 0.0255 memory: 27035 grad_norm: 3.6198 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9609 loss: 0.9609 2022/08/09 08:30:19 - mmengine - INFO - Epoch(train) [30][280/1879] lr: 2.0000e-03 eta: 11:18:16 time: 1.0383 data_time: 0.0268 memory: 27035 grad_norm: 3.5874 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9910 loss: 0.9910 2022/08/09 08:30:39 - mmengine - INFO - Epoch(train) [30][300/1879] lr: 2.0000e-03 eta: 11:17:55 time: 1.0303 data_time: 0.0236 memory: 27035 grad_norm: 3.4736 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8636 loss: 0.8636 2022/08/09 08:31:00 - mmengine - INFO - Epoch(train) [30][320/1879] lr: 2.0000e-03 eta: 11:17:34 time: 1.0323 data_time: 0.0246 memory: 27035 grad_norm: 3.5630 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8258 loss: 0.8258 2022/08/09 08:31:21 - mmengine - INFO - Epoch(train) [30][340/1879] lr: 2.0000e-03 eta: 11:17:13 time: 1.0268 data_time: 0.0250 memory: 27035 grad_norm: 3.4910 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8056 loss: 0.8056 2022/08/09 08:31:41 - mmengine - INFO - Epoch(train) [30][360/1879] lr: 2.0000e-03 eta: 11:16:52 time: 1.0264 data_time: 0.0244 memory: 27035 grad_norm: 3.6176 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0543 loss: 1.0543 2022/08/09 08:32:02 - mmengine - INFO - Epoch(train) [30][380/1879] lr: 2.0000e-03 eta: 11:16:31 time: 1.0275 data_time: 0.0250 memory: 27035 grad_norm: 3.4644 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8639 loss: 0.8639 2022/08/09 08:32:22 - mmengine - INFO - Epoch(train) [30][400/1879] lr: 2.0000e-03 eta: 11:16:10 time: 1.0255 data_time: 0.0249 memory: 27035 grad_norm: 3.5091 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8364 loss: 0.8364 2022/08/09 08:32:43 - mmengine - INFO - Epoch(train) [30][420/1879] lr: 2.0000e-03 eta: 11:15:49 time: 1.0317 data_time: 0.0250 memory: 27035 grad_norm: 3.6331 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8978 loss: 0.8978 2022/08/09 08:33:03 - mmengine - INFO - Epoch(train) [30][440/1879] lr: 2.0000e-03 eta: 11:15:28 time: 1.0262 data_time: 0.0244 memory: 27035 grad_norm: 3.6990 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9972 loss: 0.9972 2022/08/09 08:33:24 - mmengine - INFO - Epoch(train) [30][460/1879] lr: 2.0000e-03 eta: 11:15:08 time: 1.0299 data_time: 0.0247 memory: 27035 grad_norm: 3.6554 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0184 loss: 1.0184 2022/08/09 08:33:45 - mmengine - INFO - Epoch(train) [30][480/1879] lr: 2.0000e-03 eta: 11:14:47 time: 1.0255 data_time: 0.0262 memory: 27035 grad_norm: 3.6239 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7845 loss: 0.7845 2022/08/09 08:34:05 - mmengine - INFO - Epoch(train) [30][500/1879] lr: 2.0000e-03 eta: 11:14:26 time: 1.0261 data_time: 0.0256 memory: 27035 grad_norm: 3.5470 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0449 loss: 1.0449 2022/08/09 08:34:14 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 08:34:26 - mmengine - INFO - Epoch(train) [30][520/1879] lr: 2.0000e-03 eta: 11:14:05 time: 1.0259 data_time: 0.0238 memory: 27035 grad_norm: 3.4971 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8736 loss: 0.8736 2022/08/09 08:34:46 - mmengine - INFO - Epoch(train) [30][540/1879] lr: 2.0000e-03 eta: 11:13:44 time: 1.0302 data_time: 0.0250 memory: 27035 grad_norm: 3.5198 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8407 loss: 0.8407 2022/08/09 08:35:07 - mmengine - INFO - Epoch(train) [30][560/1879] lr: 2.0000e-03 eta: 11:13:23 time: 1.0271 data_time: 0.0255 memory: 27035 grad_norm: 3.6881 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9222 loss: 0.9222 2022/08/09 08:35:28 - mmengine - INFO - Epoch(train) [30][580/1879] lr: 2.0000e-03 eta: 11:13:03 time: 1.0711 data_time: 0.0621 memory: 27035 grad_norm: 3.5086 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8758 loss: 0.8758 2022/08/09 08:35:49 - mmengine - INFO - Epoch(train) [30][600/1879] lr: 2.0000e-03 eta: 11:12:42 time: 1.0269 data_time: 0.0254 memory: 27035 grad_norm: 3.6608 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0186 loss: 1.0186 2022/08/09 08:36:09 - mmengine - INFO - Epoch(train) [30][620/1879] lr: 2.0000e-03 eta: 11:12:21 time: 1.0294 data_time: 0.0250 memory: 27035 grad_norm: 3.5917 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8558 loss: 0.8558 2022/08/09 08:36:30 - mmengine - INFO - Epoch(train) [30][640/1879] lr: 2.0000e-03 eta: 11:12:00 time: 1.0273 data_time: 0.0256 memory: 27035 grad_norm: 3.5076 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8463 loss: 0.8463 2022/08/09 08:36:51 - mmengine - INFO - Epoch(train) [30][660/1879] lr: 2.0000e-03 eta: 11:11:39 time: 1.0346 data_time: 0.0304 memory: 27035 grad_norm: 3.6201 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8385 loss: 0.8385 2022/08/09 08:37:11 - mmengine - INFO - Epoch(train) [30][680/1879] lr: 2.0000e-03 eta: 11:11:18 time: 1.0251 data_time: 0.0252 memory: 27035 grad_norm: 3.7236 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9580 loss: 0.9580 2022/08/09 08:37:32 - mmengine - INFO - Epoch(train) [30][700/1879] lr: 2.0000e-03 eta: 11:10:57 time: 1.0417 data_time: 0.0385 memory: 27035 grad_norm: 3.5713 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8688 loss: 0.8688 2022/08/09 08:37:53 - mmengine - INFO - Epoch(train) [30][720/1879] lr: 2.0000e-03 eta: 11:10:36 time: 1.0372 data_time: 0.0253 memory: 27035 grad_norm: 3.5619 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9061 loss: 0.9061 2022/08/09 08:38:13 - mmengine - INFO - Epoch(train) [30][740/1879] lr: 2.0000e-03 eta: 11:10:15 time: 1.0271 data_time: 0.0248 memory: 27035 grad_norm: 3.6592 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8451 loss: 0.8451 2022/08/09 08:38:34 - mmengine - INFO - Epoch(train) [30][760/1879] lr: 2.0000e-03 eta: 11:09:55 time: 1.0339 data_time: 0.0297 memory: 27035 grad_norm: 3.5269 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8214 loss: 0.8214 2022/08/09 08:38:55 - mmengine - INFO - Epoch(train) [30][780/1879] lr: 2.0000e-03 eta: 11:09:34 time: 1.0309 data_time: 0.0245 memory: 27035 grad_norm: 3.5775 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9480 loss: 0.9480 2022/08/09 08:39:15 - mmengine - INFO - Epoch(train) [30][800/1879] lr: 2.0000e-03 eta: 11:09:13 time: 1.0270 data_time: 0.0244 memory: 27035 grad_norm: 3.5670 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9884 loss: 0.9884 2022/08/09 08:39:36 - mmengine - INFO - Epoch(train) [30][820/1879] lr: 2.0000e-03 eta: 11:08:52 time: 1.0298 data_time: 0.0249 memory: 27035 grad_norm: 3.4998 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8457 loss: 0.8457 2022/08/09 08:39:56 - mmengine - INFO - Epoch(train) [30][840/1879] lr: 2.0000e-03 eta: 11:08:31 time: 1.0304 data_time: 0.0254 memory: 27035 grad_norm: 3.7343 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8456 loss: 0.8456 2022/08/09 08:40:17 - mmengine - INFO - Epoch(train) [30][860/1879] lr: 2.0000e-03 eta: 11:08:10 time: 1.0368 data_time: 0.0276 memory: 27035 grad_norm: 3.5781 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9784 loss: 0.9784 2022/08/09 08:40:38 - mmengine - INFO - Epoch(train) [30][880/1879] lr: 2.0000e-03 eta: 11:07:49 time: 1.0306 data_time: 0.0240 memory: 27035 grad_norm: 3.6207 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9905 loss: 0.9905 2022/08/09 08:40:58 - mmengine - INFO - Epoch(train) [30][900/1879] lr: 2.0000e-03 eta: 11:07:28 time: 1.0282 data_time: 0.0249 memory: 27035 grad_norm: 3.5367 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8431 loss: 0.8431 2022/08/09 08:41:19 - mmengine - INFO - Epoch(train) [30][920/1879] lr: 2.0000e-03 eta: 11:07:08 time: 1.0322 data_time: 0.0245 memory: 27035 grad_norm: 3.4902 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8648 loss: 0.8648 2022/08/09 08:41:39 - mmengine - INFO - Epoch(train) [30][940/1879] lr: 2.0000e-03 eta: 11:06:47 time: 1.0264 data_time: 0.0246 memory: 27035 grad_norm: 3.6273 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9409 loss: 0.9409 2022/08/09 08:42:00 - mmengine - INFO - Epoch(train) [30][960/1879] lr: 2.0000e-03 eta: 11:06:26 time: 1.0316 data_time: 0.0252 memory: 27035 grad_norm: 3.4619 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8564 loss: 0.8564 2022/08/09 08:42:21 - mmengine - INFO - Epoch(train) [30][980/1879] lr: 2.0000e-03 eta: 11:06:05 time: 1.0296 data_time: 0.0254 memory: 27035 grad_norm: 3.5501 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8879 loss: 0.8879 2022/08/09 08:42:41 - mmengine - INFO - Epoch(train) [30][1000/1879] lr: 2.0000e-03 eta: 11:05:44 time: 1.0313 data_time: 0.0266 memory: 27035 grad_norm: 3.5418 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9098 loss: 0.9098 2022/08/09 08:43:02 - mmengine - INFO - Epoch(train) [30][1020/1879] lr: 2.0000e-03 eta: 11:05:23 time: 1.0313 data_time: 0.0250 memory: 27035 grad_norm: 3.7095 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8411 loss: 0.8411 2022/08/09 08:43:22 - mmengine - INFO - Epoch(train) [30][1040/1879] lr: 2.0000e-03 eta: 11:05:02 time: 1.0273 data_time: 0.0242 memory: 27035 grad_norm: 3.6730 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8182 loss: 0.8182 2022/08/09 08:43:43 - mmengine - INFO - Epoch(train) [30][1060/1879] lr: 2.0000e-03 eta: 11:04:41 time: 1.0304 data_time: 0.0252 memory: 27035 grad_norm: 3.5978 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8136 loss: 0.8136 2022/08/09 08:44:04 - mmengine - INFO - Epoch(train) [30][1080/1879] lr: 2.0000e-03 eta: 11:04:20 time: 1.0264 data_time: 0.0254 memory: 27035 grad_norm: 3.5367 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8347 loss: 0.8347 2022/08/09 08:44:24 - mmengine - INFO - Epoch(train) [30][1100/1879] lr: 2.0000e-03 eta: 11:03:59 time: 1.0291 data_time: 0.0245 memory: 27035 grad_norm: 3.5914 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9771 loss: 0.9771 2022/08/09 08:44:45 - mmengine - INFO - Epoch(train) [30][1120/1879] lr: 2.0000e-03 eta: 11:03:39 time: 1.0279 data_time: 0.0251 memory: 27035 grad_norm: 3.6232 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8654 loss: 0.8654 2022/08/09 08:45:05 - mmengine - INFO - Epoch(train) [30][1140/1879] lr: 2.0000e-03 eta: 11:03:18 time: 1.0286 data_time: 0.0258 memory: 27035 grad_norm: 3.5148 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9206 loss: 0.9206 2022/08/09 08:45:28 - mmengine - INFO - Epoch(train) [30][1160/1879] lr: 2.0000e-03 eta: 11:02:58 time: 1.1077 data_time: 0.1024 memory: 27035 grad_norm: 3.4682 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7856 loss: 0.7856 2022/08/09 08:45:48 - mmengine - INFO - Epoch(train) [30][1180/1879] lr: 2.0000e-03 eta: 11:02:37 time: 1.0279 data_time: 0.0246 memory: 27035 grad_norm: 3.6242 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8774 loss: 0.8774 2022/08/09 08:46:09 - mmengine - INFO - Epoch(train) [30][1200/1879] lr: 2.0000e-03 eta: 11:02:16 time: 1.0276 data_time: 0.0248 memory: 27035 grad_norm: 3.5613 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8776 loss: 0.8776 2022/08/09 08:46:29 - mmengine - INFO - Epoch(train) [30][1220/1879] lr: 2.0000e-03 eta: 11:01:55 time: 1.0283 data_time: 0.0251 memory: 27035 grad_norm: 3.6453 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0051 loss: 1.0051 2022/08/09 08:46:50 - mmengine - INFO - Epoch(train) [30][1240/1879] lr: 2.0000e-03 eta: 11:01:34 time: 1.0280 data_time: 0.0247 memory: 27035 grad_norm: 3.5659 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0212 loss: 1.0212 2022/08/09 08:47:10 - mmengine - INFO - Epoch(train) [30][1260/1879] lr: 2.0000e-03 eta: 11:01:13 time: 1.0331 data_time: 0.0252 memory: 27035 grad_norm: 3.6177 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8694 loss: 0.8694 2022/08/09 08:47:32 - mmengine - INFO - Epoch(train) [30][1280/1879] lr: 2.0000e-03 eta: 11:00:53 time: 1.0716 data_time: 0.0252 memory: 27035 grad_norm: 3.6612 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9438 loss: 0.9438 2022/08/09 08:47:53 - mmengine - INFO - Epoch(train) [30][1300/1879] lr: 2.0000e-03 eta: 11:00:32 time: 1.0314 data_time: 0.0249 memory: 27035 grad_norm: 3.5570 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0224 loss: 1.0224 2022/08/09 08:48:13 - mmengine - INFO - Epoch(train) [30][1320/1879] lr: 2.0000e-03 eta: 11:00:11 time: 1.0265 data_time: 0.0237 memory: 27035 grad_norm: 3.6063 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9148 loss: 0.9148 2022/08/09 08:48:34 - mmengine - INFO - Epoch(train) [30][1340/1879] lr: 2.0000e-03 eta: 10:59:50 time: 1.0312 data_time: 0.0244 memory: 27035 grad_norm: 3.5537 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7955 loss: 0.7955 2022/08/09 08:48:54 - mmengine - INFO - Epoch(train) [30][1360/1879] lr: 2.0000e-03 eta: 10:59:29 time: 1.0293 data_time: 0.0246 memory: 27035 grad_norm: 3.6450 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8740 loss: 0.8740 2022/08/09 08:49:15 - mmengine - INFO - Epoch(train) [30][1380/1879] lr: 2.0000e-03 eta: 10:59:09 time: 1.0326 data_time: 0.0247 memory: 27035 grad_norm: 3.6199 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8886 loss: 0.8886 2022/08/09 08:49:36 - mmengine - INFO - Epoch(train) [30][1400/1879] lr: 2.0000e-03 eta: 10:58:48 time: 1.0312 data_time: 0.0245 memory: 27035 grad_norm: 3.7232 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9294 loss: 0.9294 2022/08/09 08:49:56 - mmengine - INFO - Epoch(train) [30][1420/1879] lr: 2.0000e-03 eta: 10:58:27 time: 1.0250 data_time: 0.0241 memory: 27035 grad_norm: 3.6414 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8677 loss: 0.8677 2022/08/09 08:50:17 - mmengine - INFO - Epoch(train) [30][1440/1879] lr: 2.0000e-03 eta: 10:58:06 time: 1.0359 data_time: 0.0262 memory: 27035 grad_norm: 3.6160 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9008 loss: 0.9008 2022/08/09 08:50:37 - mmengine - INFO - Epoch(train) [30][1460/1879] lr: 2.0000e-03 eta: 10:57:45 time: 1.0303 data_time: 0.0253 memory: 27035 grad_norm: 3.5802 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8218 loss: 0.8218 2022/08/09 08:50:58 - mmengine - INFO - Epoch(train) [30][1480/1879] lr: 2.0000e-03 eta: 10:57:24 time: 1.0274 data_time: 0.0253 memory: 27035 grad_norm: 3.5778 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9359 loss: 0.9359 2022/08/09 08:51:19 - mmengine - INFO - Epoch(train) [30][1500/1879] lr: 2.0000e-03 eta: 10:57:03 time: 1.0264 data_time: 0.0239 memory: 27035 grad_norm: 3.5060 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8660 loss: 0.8660 2022/08/09 08:51:28 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 08:51:39 - mmengine - INFO - Epoch(train) [30][1520/1879] lr: 2.0000e-03 eta: 10:56:42 time: 1.0272 data_time: 0.0242 memory: 27035 grad_norm: 3.5146 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8757 loss: 0.8757 2022/08/09 08:52:00 - mmengine - INFO - Epoch(train) [30][1540/1879] lr: 2.0000e-03 eta: 10:56:21 time: 1.0308 data_time: 0.0250 memory: 27035 grad_norm: 3.7010 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7937 loss: 0.7937 2022/08/09 08:52:20 - mmengine - INFO - Epoch(train) [30][1560/1879] lr: 2.0000e-03 eta: 10:56:00 time: 1.0314 data_time: 0.0248 memory: 27035 grad_norm: 3.6540 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9404 loss: 0.9404 2022/08/09 08:52:41 - mmengine - INFO - Epoch(train) [30][1580/1879] lr: 2.0000e-03 eta: 10:55:40 time: 1.0340 data_time: 0.0254 memory: 27035 grad_norm: 3.7266 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 0.9247 loss: 0.9247 2022/08/09 08:53:02 - mmengine - INFO - Epoch(train) [30][1600/1879] lr: 2.0000e-03 eta: 10:55:19 time: 1.0318 data_time: 0.0256 memory: 27035 grad_norm: 3.7273 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8967 loss: 0.8967 2022/08/09 08:53:22 - mmengine - INFO - Epoch(train) [30][1620/1879] lr: 2.0000e-03 eta: 10:54:58 time: 1.0309 data_time: 0.0256 memory: 27035 grad_norm: 3.4902 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8861 loss: 0.8861 2022/08/09 08:53:43 - mmengine - INFO - Epoch(train) [30][1640/1879] lr: 2.0000e-03 eta: 10:54:37 time: 1.0309 data_time: 0.0256 memory: 27035 grad_norm: 3.5699 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0743 loss: 1.0743 2022/08/09 08:54:04 - mmengine - INFO - Epoch(train) [30][1660/1879] lr: 2.0000e-03 eta: 10:54:16 time: 1.0285 data_time: 0.0250 memory: 27035 grad_norm: 3.5588 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9229 loss: 0.9229 2022/08/09 08:54:24 - mmengine - INFO - Epoch(train) [30][1680/1879] lr: 2.0000e-03 eta: 10:53:55 time: 1.0299 data_time: 0.0255 memory: 27035 grad_norm: 3.6756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1048 loss: 1.1048 2022/08/09 08:54:45 - mmengine - INFO - Epoch(train) [30][1700/1879] lr: 2.0000e-03 eta: 10:53:34 time: 1.0289 data_time: 0.0260 memory: 27035 grad_norm: 3.4643 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8826 loss: 0.8826 2022/08/09 08:55:05 - mmengine - INFO - Epoch(train) [30][1720/1879] lr: 2.0000e-03 eta: 10:53:13 time: 1.0338 data_time: 0.0248 memory: 27035 grad_norm: 3.6728 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8207 loss: 0.8207 2022/08/09 08:55:27 - mmengine - INFO - Epoch(train) [30][1740/1879] lr: 2.0000e-03 eta: 10:52:53 time: 1.0746 data_time: 0.0688 memory: 27035 grad_norm: 3.6210 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0055 loss: 1.0055 2022/08/09 08:55:47 - mmengine - INFO - Epoch(train) [30][1760/1879] lr: 2.0000e-03 eta: 10:52:32 time: 1.0279 data_time: 0.0248 memory: 27035 grad_norm: 3.5874 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9027 loss: 0.9027 2022/08/09 08:56:08 - mmengine - INFO - Epoch(train) [30][1780/1879] lr: 2.0000e-03 eta: 10:52:11 time: 1.0297 data_time: 0.0255 memory: 27035 grad_norm: 3.6239 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9310 loss: 0.9310 2022/08/09 08:56:29 - mmengine - INFO - Epoch(train) [30][1800/1879] lr: 2.0000e-03 eta: 10:51:51 time: 1.0290 data_time: 0.0248 memory: 27035 grad_norm: 3.5904 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9231 loss: 0.9231 2022/08/09 08:56:49 - mmengine - INFO - Epoch(train) [30][1820/1879] lr: 2.0000e-03 eta: 10:51:30 time: 1.0320 data_time: 0.0259 memory: 27035 grad_norm: 3.6588 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9507 loss: 0.9507 2022/08/09 08:57:10 - mmengine - INFO - Epoch(train) [30][1840/1879] lr: 2.0000e-03 eta: 10:51:09 time: 1.0272 data_time: 0.0248 memory: 27035 grad_norm: 3.6952 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9685 loss: 0.9685 2022/08/09 08:57:31 - mmengine - INFO - Epoch(train) [30][1860/1879] lr: 2.0000e-03 eta: 10:50:48 time: 1.0463 data_time: 0.0247 memory: 27035 grad_norm: 3.7337 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7716 loss: 0.7716 2022/08/09 08:57:50 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 08:57:50 - mmengine - INFO - Epoch(train) [30][1879/1879] lr: 2.0000e-03 eta: 10:50:48 time: 1.0281 data_time: 0.0251 memory: 27035 grad_norm: 3.5680 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.7591 loss: 0.7591 2022/08/09 08:57:50 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/08/09 08:58:07 - mmengine - INFO - Epoch(val) [30][20/155] eta: 0:01:44 time: 0.7744 data_time: 0.5039 memory: 3270 2022/08/09 08:58:17 - mmengine - INFO - Epoch(val) [30][40/155] eta: 0:00:57 time: 0.4971 data_time: 0.2269 memory: 3270 2022/08/09 08:58:30 - mmengine - INFO - Epoch(val) [30][60/155] eta: 0:01:01 time: 0.6465 data_time: 0.3755 memory: 3270 2022/08/09 08:58:41 - mmengine - INFO - Epoch(val) [30][80/155] eta: 0:00:40 time: 0.5341 data_time: 0.2642 memory: 3270 2022/08/09 08:58:54 - mmengine - INFO - Epoch(val) [30][100/155] eta: 0:00:36 time: 0.6657 data_time: 0.3948 memory: 3270 2022/08/09 08:59:05 - mmengine - INFO - Epoch(val) [30][120/155] eta: 0:00:19 time: 0.5432 data_time: 0.2730 memory: 3270 2022/08/09 08:59:19 - mmengine - INFO - Epoch(val) [30][140/155] eta: 0:00:10 time: 0.7144 data_time: 0.4451 memory: 3270 2022/08/09 08:59:27 - mmengine - INFO - Epoch(val) [30][155/155] acc/top1: 0.7277 acc/top5: 0.9076 acc/mean1: 0.7276 2022/08/09 08:59:27 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_30.pth is removed 2022/08/09 08:59:29 - mmengine - INFO - The best checkpoint with 0.7277 acc/top1 at 31 epoch is saved to best_acc/top1_epoch_31.pth. 2022/08/09 08:59:55 - mmengine - INFO - Epoch(train) [31][20/1879] lr: 2.0000e-03 eta: 10:49:58 time: 1.3054 data_time: 0.2785 memory: 27035 grad_norm: 3.4023 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8724 loss: 0.8724 2022/08/09 09:00:15 - mmengine - INFO - Epoch(train) [31][40/1879] lr: 2.0000e-03 eta: 10:49:37 time: 1.0360 data_time: 0.0262 memory: 27035 grad_norm: 3.5963 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9988 loss: 0.9988 2022/08/09 09:00:36 - mmengine - INFO - Epoch(train) [31][60/1879] lr: 2.0000e-03 eta: 10:49:16 time: 1.0315 data_time: 0.0252 memory: 27035 grad_norm: 3.6201 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7999 loss: 0.7999 2022/08/09 09:00:57 - mmengine - INFO - Epoch(train) [31][80/1879] lr: 2.0000e-03 eta: 10:48:55 time: 1.0316 data_time: 0.0253 memory: 27035 grad_norm: 3.5549 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9089 loss: 0.9089 2022/08/09 09:01:17 - mmengine - INFO - Epoch(train) [31][100/1879] lr: 2.0000e-03 eta: 10:48:35 time: 1.0267 data_time: 0.0243 memory: 27035 grad_norm: 3.6722 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9668 loss: 0.9668 2022/08/09 09:01:38 - mmengine - INFO - Epoch(train) [31][120/1879] lr: 2.0000e-03 eta: 10:48:14 time: 1.0302 data_time: 0.0257 memory: 27035 grad_norm: 3.5939 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9249 loss: 0.9249 2022/08/09 09:01:58 - mmengine - INFO - Epoch(train) [31][140/1879] lr: 2.0000e-03 eta: 10:47:53 time: 1.0319 data_time: 0.0253 memory: 27035 grad_norm: 3.6113 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8856 loss: 0.8856 2022/08/09 09:02:19 - mmengine - INFO - Epoch(train) [31][160/1879] lr: 2.0000e-03 eta: 10:47:32 time: 1.0296 data_time: 0.0250 memory: 27035 grad_norm: 3.6283 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8223 loss: 0.8223 2022/08/09 09:02:40 - mmengine - INFO - Epoch(train) [31][180/1879] lr: 2.0000e-03 eta: 10:47:11 time: 1.0288 data_time: 0.0246 memory: 27035 grad_norm: 3.5639 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9047 loss: 0.9047 2022/08/09 09:03:00 - mmengine - INFO - Epoch(train) [31][200/1879] lr: 2.0000e-03 eta: 10:46:50 time: 1.0284 data_time: 0.0252 memory: 27035 grad_norm: 3.5167 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8572 loss: 0.8572 2022/08/09 09:03:21 - mmengine - INFO - Epoch(train) [31][220/1879] lr: 2.0000e-03 eta: 10:46:29 time: 1.0261 data_time: 0.0234 memory: 27035 grad_norm: 3.5512 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7927 loss: 0.7927 2022/08/09 09:03:41 - mmengine - INFO - Epoch(train) [31][240/1879] lr: 2.0000e-03 eta: 10:46:08 time: 1.0267 data_time: 0.0249 memory: 27035 grad_norm: 3.4764 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8289 loss: 0.8289 2022/08/09 09:04:02 - mmengine - INFO - Epoch(train) [31][260/1879] lr: 2.0000e-03 eta: 10:45:47 time: 1.0291 data_time: 0.0251 memory: 27035 grad_norm: 3.6970 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8848 loss: 0.8848 2022/08/09 09:04:22 - mmengine - INFO - Epoch(train) [31][280/1879] lr: 2.0000e-03 eta: 10:45:26 time: 1.0253 data_time: 0.0250 memory: 27035 grad_norm: 3.6509 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9478 loss: 0.9478 2022/08/09 09:04:43 - mmengine - INFO - Epoch(train) [31][300/1879] lr: 2.0000e-03 eta: 10:45:06 time: 1.0268 data_time: 0.0252 memory: 27035 grad_norm: 3.6769 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9298 loss: 0.9298 2022/08/09 09:05:03 - mmengine - INFO - Epoch(train) [31][320/1879] lr: 2.0000e-03 eta: 10:44:45 time: 1.0260 data_time: 0.0246 memory: 27035 grad_norm: 3.6658 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7908 loss: 0.7908 2022/08/09 09:05:25 - mmengine - INFO - Epoch(train) [31][340/1879] lr: 2.0000e-03 eta: 10:44:24 time: 1.0581 data_time: 0.0561 memory: 27035 grad_norm: 3.7250 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8969 loss: 0.8969 2022/08/09 09:05:45 - mmengine - INFO - Epoch(train) [31][360/1879] lr: 2.0000e-03 eta: 10:44:03 time: 1.0287 data_time: 0.0256 memory: 27035 grad_norm: 3.5429 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8409 loss: 0.8409 2022/08/09 09:06:06 - mmengine - INFO - Epoch(train) [31][380/1879] lr: 2.0000e-03 eta: 10:43:42 time: 1.0272 data_time: 0.0246 memory: 27035 grad_norm: 3.6962 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8244 loss: 0.8244 2022/08/09 09:06:26 - mmengine - INFO - Epoch(train) [31][400/1879] lr: 2.0000e-03 eta: 10:43:21 time: 1.0305 data_time: 0.0250 memory: 27035 grad_norm: 3.5368 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7817 loss: 0.7817 2022/08/09 09:06:47 - mmengine - INFO - Epoch(train) [31][420/1879] lr: 2.0000e-03 eta: 10:43:01 time: 1.0257 data_time: 0.0261 memory: 27035 grad_norm: 3.4542 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9031 loss: 0.9031 2022/08/09 09:07:07 - mmengine - INFO - Epoch(train) [31][440/1879] lr: 2.0000e-03 eta: 10:42:40 time: 1.0288 data_time: 0.0260 memory: 27035 grad_norm: 3.4959 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7450 loss: 0.7450 2022/08/09 09:07:29 - mmengine - INFO - Epoch(train) [31][460/1879] lr: 2.0000e-03 eta: 10:42:19 time: 1.0608 data_time: 0.0249 memory: 27035 grad_norm: 3.5950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9812 loss: 0.9812 2022/08/09 09:07:49 - mmengine - INFO - Epoch(train) [31][480/1879] lr: 2.0000e-03 eta: 10:41:58 time: 1.0280 data_time: 0.0256 memory: 27035 grad_norm: 3.6557 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8771 loss: 0.8771 2022/08/09 09:08:10 - mmengine - INFO - Epoch(train) [31][500/1879] lr: 2.0000e-03 eta: 10:41:37 time: 1.0288 data_time: 0.0245 memory: 27035 grad_norm: 3.6833 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9751 loss: 0.9751 2022/08/09 09:08:31 - mmengine - INFO - Epoch(train) [31][520/1879] lr: 2.0000e-03 eta: 10:41:17 time: 1.0404 data_time: 0.0355 memory: 27035 grad_norm: 3.5957 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8454 loss: 0.8454 2022/08/09 09:08:51 - mmengine - INFO - Epoch(train) [31][540/1879] lr: 2.0000e-03 eta: 10:40:56 time: 1.0325 data_time: 0.0255 memory: 27035 grad_norm: 3.4762 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9575 loss: 0.9575 2022/08/09 09:09:12 - mmengine - INFO - Epoch(train) [31][560/1879] lr: 2.0000e-03 eta: 10:40:35 time: 1.0263 data_time: 0.0246 memory: 27035 grad_norm: 3.5868 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9053 loss: 0.9053 2022/08/09 09:09:32 - mmengine - INFO - Epoch(train) [31][580/1879] lr: 2.0000e-03 eta: 10:40:14 time: 1.0263 data_time: 0.0237 memory: 27035 grad_norm: 3.5722 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9205 loss: 0.9205 2022/08/09 09:09:53 - mmengine - INFO - Epoch(train) [31][600/1879] lr: 2.0000e-03 eta: 10:39:53 time: 1.0271 data_time: 0.0246 memory: 27035 grad_norm: 3.6776 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9083 loss: 0.9083 2022/08/09 09:10:14 - mmengine - INFO - Epoch(train) [31][620/1879] lr: 2.0000e-03 eta: 10:39:32 time: 1.0328 data_time: 0.0264 memory: 27035 grad_norm: 3.6420 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8024 loss: 0.8024 2022/08/09 09:10:24 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 09:10:35 - mmengine - INFO - Epoch(train) [31][640/1879] lr: 2.0000e-03 eta: 10:39:12 time: 1.0509 data_time: 0.0452 memory: 27035 grad_norm: 3.6554 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8972 loss: 0.8972 2022/08/09 09:10:55 - mmengine - INFO - Epoch(train) [31][660/1879] lr: 2.0000e-03 eta: 10:38:51 time: 1.0272 data_time: 0.0249 memory: 27035 grad_norm: 3.5601 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8868 loss: 0.8868 2022/08/09 09:11:16 - mmengine - INFO - Epoch(train) [31][680/1879] lr: 2.0000e-03 eta: 10:38:30 time: 1.0299 data_time: 0.0249 memory: 27035 grad_norm: 3.6718 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8850 loss: 0.8850 2022/08/09 09:11:36 - mmengine - INFO - Epoch(train) [31][700/1879] lr: 2.0000e-03 eta: 10:38:09 time: 1.0285 data_time: 0.0260 memory: 27035 grad_norm: 3.6518 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8088 loss: 0.8088 2022/08/09 09:11:57 - mmengine - INFO - Epoch(train) [31][720/1879] lr: 2.0000e-03 eta: 10:37:48 time: 1.0272 data_time: 0.0248 memory: 27035 grad_norm: 3.6517 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9425 loss: 0.9425 2022/08/09 09:12:17 - mmengine - INFO - Epoch(train) [31][740/1879] lr: 2.0000e-03 eta: 10:37:27 time: 1.0269 data_time: 0.0247 memory: 27035 grad_norm: 3.6204 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8348 loss: 0.8348 2022/08/09 09:12:38 - mmengine - INFO - Epoch(train) [31][760/1879] lr: 2.0000e-03 eta: 10:37:06 time: 1.0275 data_time: 0.0241 memory: 27035 grad_norm: 3.7662 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9015 loss: 0.9015 2022/08/09 09:12:59 - mmengine - INFO - Epoch(train) [31][780/1879] lr: 2.0000e-03 eta: 10:36:45 time: 1.0280 data_time: 0.0254 memory: 27035 grad_norm: 3.6030 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9193 loss: 0.9193 2022/08/09 09:13:19 - mmengine - INFO - Epoch(train) [31][800/1879] lr: 2.0000e-03 eta: 10:36:25 time: 1.0334 data_time: 0.0306 memory: 27035 grad_norm: 3.7221 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8862 loss: 0.8862 2022/08/09 09:13:40 - mmengine - INFO - Epoch(train) [31][820/1879] lr: 2.0000e-03 eta: 10:36:04 time: 1.0376 data_time: 0.0243 memory: 27035 grad_norm: 3.6983 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9411 loss: 0.9411 2022/08/09 09:14:01 - mmengine - INFO - Epoch(train) [31][840/1879] lr: 2.0000e-03 eta: 10:35:43 time: 1.0320 data_time: 0.0253 memory: 27035 grad_norm: 3.5345 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8621 loss: 0.8621 2022/08/09 09:14:21 - mmengine - INFO - Epoch(train) [31][860/1879] lr: 2.0000e-03 eta: 10:35:22 time: 1.0359 data_time: 0.0253 memory: 27035 grad_norm: 3.6719 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8793 loss: 0.8793 2022/08/09 09:14:42 - mmengine - INFO - Epoch(train) [31][880/1879] lr: 2.0000e-03 eta: 10:35:01 time: 1.0329 data_time: 0.0240 memory: 27035 grad_norm: 3.6197 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9307 loss: 0.9307 2022/08/09 09:15:03 - mmengine - INFO - Epoch(train) [31][900/1879] lr: 2.0000e-03 eta: 10:34:40 time: 1.0270 data_time: 0.0244 memory: 27035 grad_norm: 3.5841 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7565 loss: 0.7565 2022/08/09 09:15:24 - mmengine - INFO - Epoch(train) [31][920/1879] lr: 2.0000e-03 eta: 10:34:20 time: 1.0503 data_time: 0.0473 memory: 27035 grad_norm: 3.5246 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9504 loss: 0.9504 2022/08/09 09:15:44 - mmengine - INFO - Epoch(train) [31][940/1879] lr: 2.0000e-03 eta: 10:33:59 time: 1.0307 data_time: 0.0247 memory: 27035 grad_norm: 3.5679 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7549 loss: 0.7549 2022/08/09 09:16:05 - mmengine - INFO - Epoch(train) [31][960/1879] lr: 2.0000e-03 eta: 10:33:38 time: 1.0304 data_time: 0.0245 memory: 27035 grad_norm: 3.6763 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8797 loss: 0.8797 2022/08/09 09:16:25 - mmengine - INFO - Epoch(train) [31][980/1879] lr: 2.0000e-03 eta: 10:33:17 time: 1.0290 data_time: 0.0250 memory: 27035 grad_norm: 3.7122 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9660 loss: 0.9660 2022/08/09 09:16:46 - mmengine - INFO - Epoch(train) [31][1000/1879] lr: 2.0000e-03 eta: 10:32:56 time: 1.0313 data_time: 0.0246 memory: 27035 grad_norm: 3.7413 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9895 loss: 0.9895 2022/08/09 09:17:07 - mmengine - INFO - Epoch(train) [31][1020/1879] lr: 2.0000e-03 eta: 10:32:35 time: 1.0281 data_time: 0.0237 memory: 27035 grad_norm: 3.7484 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8137 loss: 0.8137 2022/08/09 09:17:28 - mmengine - INFO - Epoch(train) [31][1040/1879] lr: 2.0000e-03 eta: 10:32:15 time: 1.0507 data_time: 0.0245 memory: 27035 grad_norm: 3.6324 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8971 loss: 0.8971 2022/08/09 09:17:48 - mmengine - INFO - Epoch(train) [31][1060/1879] lr: 2.0000e-03 eta: 10:31:54 time: 1.0317 data_time: 0.0245 memory: 27035 grad_norm: 3.6617 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8650 loss: 0.8650 2022/08/09 09:18:09 - mmengine - INFO - Epoch(train) [31][1080/1879] lr: 2.0000e-03 eta: 10:31:33 time: 1.0281 data_time: 0.0252 memory: 27035 grad_norm: 3.6664 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9229 loss: 0.9229 2022/08/09 09:18:30 - mmengine - INFO - Epoch(train) [31][1100/1879] lr: 2.0000e-03 eta: 10:31:12 time: 1.0317 data_time: 0.0252 memory: 27035 grad_norm: 3.6529 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8825 loss: 0.8825 2022/08/09 09:18:50 - mmengine - INFO - Epoch(train) [31][1120/1879] lr: 2.0000e-03 eta: 10:30:51 time: 1.0276 data_time: 0.0249 memory: 27035 grad_norm: 3.5866 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8332 loss: 0.8332 2022/08/09 09:19:11 - mmengine - INFO - Epoch(train) [31][1140/1879] lr: 2.0000e-03 eta: 10:30:30 time: 1.0303 data_time: 0.0254 memory: 27035 grad_norm: 3.6848 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8602 loss: 0.8602 2022/08/09 09:19:31 - mmengine - INFO - Epoch(train) [31][1160/1879] lr: 2.0000e-03 eta: 10:30:10 time: 1.0297 data_time: 0.0247 memory: 27035 grad_norm: 3.5936 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8846 loss: 0.8846 2022/08/09 09:19:52 - mmengine - INFO - Epoch(train) [31][1180/1879] lr: 2.0000e-03 eta: 10:29:49 time: 1.0291 data_time: 0.0276 memory: 27035 grad_norm: 3.5655 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8671 loss: 0.8671 2022/08/09 09:20:13 - mmengine - INFO - Epoch(train) [31][1200/1879] lr: 2.0000e-03 eta: 10:29:28 time: 1.0328 data_time: 0.0250 memory: 27035 grad_norm: 3.6805 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7829 loss: 0.7829 2022/08/09 09:20:33 - mmengine - INFO - Epoch(train) [31][1220/1879] lr: 2.0000e-03 eta: 10:29:07 time: 1.0287 data_time: 0.0246 memory: 27035 grad_norm: 3.6055 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7376 loss: 0.7376 2022/08/09 09:20:54 - mmengine - INFO - Epoch(train) [31][1240/1879] lr: 2.0000e-03 eta: 10:28:46 time: 1.0273 data_time: 0.0252 memory: 27035 grad_norm: 3.5801 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8081 loss: 0.8081 2022/08/09 09:21:14 - mmengine - INFO - Epoch(train) [31][1260/1879] lr: 2.0000e-03 eta: 10:28:25 time: 1.0283 data_time: 0.0252 memory: 27035 grad_norm: 3.6831 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6996 loss: 0.6996 2022/08/09 09:21:35 - mmengine - INFO - Epoch(train) [31][1280/1879] lr: 2.0000e-03 eta: 10:28:04 time: 1.0293 data_time: 0.0237 memory: 27035 grad_norm: 3.7319 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8072 loss: 0.8072 2022/08/09 09:21:55 - mmengine - INFO - Epoch(train) [31][1300/1879] lr: 2.0000e-03 eta: 10:27:43 time: 1.0275 data_time: 0.0243 memory: 27035 grad_norm: 3.6749 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8150 loss: 0.8150 2022/08/09 09:22:16 - mmengine - INFO - Epoch(train) [31][1320/1879] lr: 2.0000e-03 eta: 10:27:23 time: 1.0286 data_time: 0.0247 memory: 27035 grad_norm: 3.5803 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8110 loss: 0.8110 2022/08/09 09:22:37 - mmengine - INFO - Epoch(train) [31][1340/1879] lr: 2.0000e-03 eta: 10:27:02 time: 1.0312 data_time: 0.0251 memory: 27035 grad_norm: 3.5573 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7557 loss: 0.7557 2022/08/09 09:22:57 - mmengine - INFO - Epoch(train) [31][1360/1879] lr: 2.0000e-03 eta: 10:26:41 time: 1.0280 data_time: 0.0249 memory: 27035 grad_norm: 3.6794 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8717 loss: 0.8717 2022/08/09 09:23:18 - mmengine - INFO - Epoch(train) [31][1380/1879] lr: 2.0000e-03 eta: 10:26:20 time: 1.0297 data_time: 0.0247 memory: 27035 grad_norm: 3.6082 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8630 loss: 0.8630 2022/08/09 09:23:38 - mmengine - INFO - Epoch(train) [31][1400/1879] lr: 2.0000e-03 eta: 10:25:59 time: 1.0279 data_time: 0.0247 memory: 27035 grad_norm: 3.6123 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8483 loss: 0.8483 2022/08/09 09:23:59 - mmengine - INFO - Epoch(train) [31][1420/1879] lr: 2.0000e-03 eta: 10:25:38 time: 1.0278 data_time: 0.0242 memory: 27035 grad_norm: 3.6596 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8786 loss: 0.8786 2022/08/09 09:24:19 - mmengine - INFO - Epoch(train) [31][1440/1879] lr: 2.0000e-03 eta: 10:25:17 time: 1.0280 data_time: 0.0247 memory: 27035 grad_norm: 3.5978 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0196 loss: 1.0196 2022/08/09 09:24:40 - mmengine - INFO - Epoch(train) [31][1460/1879] lr: 2.0000e-03 eta: 10:24:56 time: 1.0328 data_time: 0.0267 memory: 27035 grad_norm: 3.6197 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8255 loss: 0.8255 2022/08/09 09:25:01 - mmengine - INFO - Epoch(train) [31][1480/1879] lr: 2.0000e-03 eta: 10:24:36 time: 1.0348 data_time: 0.0313 memory: 27035 grad_norm: 3.6415 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9481 loss: 0.9481 2022/08/09 09:25:21 - mmengine - INFO - Epoch(train) [31][1500/1879] lr: 2.0000e-03 eta: 10:24:15 time: 1.0320 data_time: 0.0268 memory: 27035 grad_norm: 3.7342 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9214 loss: 0.9214 2022/08/09 09:25:42 - mmengine - INFO - Epoch(train) [31][1520/1879] lr: 2.0000e-03 eta: 10:23:54 time: 1.0316 data_time: 0.0251 memory: 27035 grad_norm: 3.7049 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8891 loss: 0.8891 2022/08/09 09:26:03 - mmengine - INFO - Epoch(train) [31][1540/1879] lr: 2.0000e-03 eta: 10:23:33 time: 1.0275 data_time: 0.0251 memory: 27035 grad_norm: 3.6026 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7502 loss: 0.7502 2022/08/09 09:26:23 - mmengine - INFO - Epoch(train) [31][1560/1879] lr: 2.0000e-03 eta: 10:23:12 time: 1.0300 data_time: 0.0252 memory: 27035 grad_norm: 3.5313 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8696 loss: 0.8696 2022/08/09 09:26:44 - mmengine - INFO - Epoch(train) [31][1580/1879] lr: 2.0000e-03 eta: 10:22:51 time: 1.0294 data_time: 0.0245 memory: 27035 grad_norm: 3.5703 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7962 loss: 0.7962 2022/08/09 09:27:04 - mmengine - INFO - Epoch(train) [31][1600/1879] lr: 2.0000e-03 eta: 10:22:30 time: 1.0286 data_time: 0.0248 memory: 27035 grad_norm: 3.5330 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7889 loss: 0.7889 2022/08/09 09:27:26 - mmengine - INFO - Epoch(train) [31][1620/1879] lr: 2.0000e-03 eta: 10:22:10 time: 1.0589 data_time: 0.0247 memory: 27035 grad_norm: 3.5592 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8440 loss: 0.8440 2022/08/09 09:27:36 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 09:27:46 - mmengine - INFO - Epoch(train) [31][1640/1879] lr: 2.0000e-03 eta: 10:21:49 time: 1.0270 data_time: 0.0250 memory: 27035 grad_norm: 3.5709 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8713 loss: 0.8713 2022/08/09 09:28:07 - mmengine - INFO - Epoch(train) [31][1660/1879] lr: 2.0000e-03 eta: 10:21:28 time: 1.0279 data_time: 0.0252 memory: 27035 grad_norm: 3.6355 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0199 loss: 1.0199 2022/08/09 09:28:27 - mmengine - INFO - Epoch(train) [31][1680/1879] lr: 2.0000e-03 eta: 10:21:07 time: 1.0306 data_time: 0.0259 memory: 27035 grad_norm: 3.7045 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8520 loss: 0.8520 2022/08/09 09:28:48 - mmengine - INFO - Epoch(train) [31][1700/1879] lr: 2.0000e-03 eta: 10:20:46 time: 1.0277 data_time: 0.0252 memory: 27035 grad_norm: 3.6742 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8323 loss: 0.8323 2022/08/09 09:29:09 - mmengine - INFO - Epoch(train) [31][1720/1879] lr: 2.0000e-03 eta: 10:20:26 time: 1.0288 data_time: 0.0245 memory: 27035 grad_norm: 3.7255 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9327 loss: 0.9327 2022/08/09 09:29:29 - mmengine - INFO - Epoch(train) [31][1740/1879] lr: 2.0000e-03 eta: 10:20:05 time: 1.0285 data_time: 0.0251 memory: 27035 grad_norm: 3.7179 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8218 loss: 0.8218 2022/08/09 09:29:50 - mmengine - INFO - Epoch(train) [31][1760/1879] lr: 2.0000e-03 eta: 10:19:44 time: 1.0279 data_time: 0.0249 memory: 27035 grad_norm: 3.6964 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9125 loss: 0.9125 2022/08/09 09:30:10 - mmengine - INFO - Epoch(train) [31][1780/1879] lr: 2.0000e-03 eta: 10:19:23 time: 1.0290 data_time: 0.0257 memory: 27035 grad_norm: 3.7034 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8556 loss: 0.8556 2022/08/09 09:30:31 - mmengine - INFO - Epoch(train) [31][1800/1879] lr: 2.0000e-03 eta: 10:19:02 time: 1.0308 data_time: 0.0246 memory: 27035 grad_norm: 3.6981 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9752 loss: 0.9752 2022/08/09 09:30:52 - mmengine - INFO - Epoch(train) [31][1820/1879] lr: 2.0000e-03 eta: 10:18:41 time: 1.0320 data_time: 0.0249 memory: 27035 grad_norm: 3.6392 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8713 loss: 0.8713 2022/08/09 09:31:12 - mmengine - INFO - Epoch(train) [31][1840/1879] lr: 2.0000e-03 eta: 10:18:20 time: 1.0275 data_time: 0.0244 memory: 27035 grad_norm: 3.6666 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8966 loss: 0.8966 2022/08/09 09:31:33 - mmengine - INFO - Epoch(train) [31][1860/1879] lr: 2.0000e-03 eta: 10:17:59 time: 1.0317 data_time: 0.0249 memory: 27035 grad_norm: 3.8392 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0953 loss: 1.0953 2022/08/09 09:31:52 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 09:31:52 - mmengine - INFO - Epoch(train) [31][1879/1879] lr: 2.0000e-03 eta: 10:17:59 time: 1.0053 data_time: 0.0299 memory: 27035 grad_norm: 3.8669 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.8695 loss: 0.8695 2022/08/09 09:32:08 - mmengine - INFO - Epoch(val) [31][20/155] eta: 0:01:45 time: 0.7806 data_time: 0.5063 memory: 3270 2022/08/09 09:32:17 - mmengine - INFO - Epoch(val) [31][40/155] eta: 0:00:55 time: 0.4869 data_time: 0.2160 memory: 3270 2022/08/09 09:32:31 - mmengine - INFO - Epoch(val) [31][60/155] eta: 0:01:04 time: 0.6756 data_time: 0.4046 memory: 3270 2022/08/09 09:32:41 - mmengine - INFO - Epoch(val) [31][80/155] eta: 0:00:38 time: 0.5173 data_time: 0.2455 memory: 3270 2022/08/09 09:32:54 - mmengine - INFO - Epoch(val) [31][100/155] eta: 0:00:36 time: 0.6674 data_time: 0.3949 memory: 3270 2022/08/09 09:33:05 - mmengine - INFO - Epoch(val) [31][120/155] eta: 0:00:18 time: 0.5314 data_time: 0.2598 memory: 3270 2022/08/09 09:33:19 - mmengine - INFO - Epoch(val) [31][140/155] eta: 0:00:10 time: 0.7065 data_time: 0.4352 memory: 3270 2022/08/09 09:33:28 - mmengine - INFO - Epoch(val) [31][155/155] acc/top1: 0.7264 acc/top5: 0.9087 acc/mean1: 0.7263 2022/08/09 09:33:54 - mmengine - INFO - Epoch(train) [32][20/1879] lr: 2.0000e-03 eta: 10:17:10 time: 1.2999 data_time: 0.2750 memory: 27035 grad_norm: 3.6406 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8245 loss: 0.8245 2022/08/09 09:34:15 - mmengine - INFO - Epoch(train) [32][40/1879] lr: 2.0000e-03 eta: 10:16:49 time: 1.0279 data_time: 0.0251 memory: 27035 grad_norm: 3.6365 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8087 loss: 0.8087 2022/08/09 09:34:35 - mmengine - INFO - Epoch(train) [32][60/1879] lr: 2.0000e-03 eta: 10:16:28 time: 1.0257 data_time: 0.0243 memory: 27035 grad_norm: 3.5833 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8554 loss: 0.8554 2022/08/09 09:34:56 - mmengine - INFO - Epoch(train) [32][80/1879] lr: 2.0000e-03 eta: 10:16:07 time: 1.0275 data_time: 0.0243 memory: 27035 grad_norm: 3.7143 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8467 loss: 0.8467 2022/08/09 09:35:17 - mmengine - INFO - Epoch(train) [32][100/1879] lr: 2.0000e-03 eta: 10:15:47 time: 1.0298 data_time: 0.0254 memory: 27035 grad_norm: 3.5968 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9801 loss: 0.9801 2022/08/09 09:35:37 - mmengine - INFO - Epoch(train) [32][120/1879] lr: 2.0000e-03 eta: 10:15:26 time: 1.0290 data_time: 0.0246 memory: 27035 grad_norm: 3.5485 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8713 loss: 0.8713 2022/08/09 09:35:58 - mmengine - INFO - Epoch(train) [32][140/1879] lr: 2.0000e-03 eta: 10:15:05 time: 1.0295 data_time: 0.0240 memory: 27035 grad_norm: 3.7115 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9138 loss: 0.9138 2022/08/09 09:36:18 - mmengine - INFO - Epoch(train) [32][160/1879] lr: 2.0000e-03 eta: 10:14:44 time: 1.0289 data_time: 0.0251 memory: 27035 grad_norm: 3.5815 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8339 loss: 0.8339 2022/08/09 09:36:39 - mmengine - INFO - Epoch(train) [32][180/1879] lr: 2.0000e-03 eta: 10:14:23 time: 1.0308 data_time: 0.0245 memory: 27035 grad_norm: 3.6437 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7879 loss: 0.7879 2022/08/09 09:37:00 - mmengine - INFO - Epoch(train) [32][200/1879] lr: 2.0000e-03 eta: 10:14:02 time: 1.0287 data_time: 0.0248 memory: 27035 grad_norm: 3.6082 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8992 loss: 0.8992 2022/08/09 09:37:20 - mmengine - INFO - Epoch(train) [32][220/1879] lr: 2.0000e-03 eta: 10:13:42 time: 1.0457 data_time: 0.0380 memory: 27035 grad_norm: 3.5636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7685 loss: 0.7685 2022/08/09 09:37:41 - mmengine - INFO - Epoch(train) [32][240/1879] lr: 2.0000e-03 eta: 10:13:21 time: 1.0322 data_time: 0.0263 memory: 27035 grad_norm: 3.6065 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8660 loss: 0.8660 2022/08/09 09:38:02 - mmengine - INFO - Epoch(train) [32][260/1879] lr: 2.0000e-03 eta: 10:13:00 time: 1.0288 data_time: 0.0248 memory: 27035 grad_norm: 3.6296 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8064 loss: 0.8064 2022/08/09 09:38:22 - mmengine - INFO - Epoch(train) [32][280/1879] lr: 2.0000e-03 eta: 10:12:39 time: 1.0275 data_time: 0.0255 memory: 27035 grad_norm: 3.5644 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7124 loss: 0.7124 2022/08/09 09:38:43 - mmengine - INFO - Epoch(train) [32][300/1879] lr: 2.0000e-03 eta: 10:12:18 time: 1.0351 data_time: 0.0339 memory: 27035 grad_norm: 3.5657 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8656 loss: 0.8656 2022/08/09 09:39:04 - mmengine - INFO - Epoch(train) [32][320/1879] lr: 2.0000e-03 eta: 10:11:57 time: 1.0328 data_time: 0.0296 memory: 27035 grad_norm: 3.7334 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9146 loss: 0.9146 2022/08/09 09:39:24 - mmengine - INFO - Epoch(train) [32][340/1879] lr: 2.0000e-03 eta: 10:11:37 time: 1.0266 data_time: 0.0243 memory: 27035 grad_norm: 3.5497 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8356 loss: 0.8356 2022/08/09 09:39:45 - mmengine - INFO - Epoch(train) [32][360/1879] lr: 2.0000e-03 eta: 10:11:16 time: 1.0316 data_time: 0.0240 memory: 27035 grad_norm: 3.7478 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8282 loss: 0.8282 2022/08/09 09:40:05 - mmengine - INFO - Epoch(train) [32][380/1879] lr: 2.0000e-03 eta: 10:10:55 time: 1.0312 data_time: 0.0251 memory: 27035 grad_norm: 3.7158 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0589 loss: 1.0589 2022/08/09 09:40:28 - mmengine - INFO - Epoch(train) [32][400/1879] lr: 2.0000e-03 eta: 10:10:35 time: 1.1338 data_time: 0.1286 memory: 27035 grad_norm: 3.7012 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9520 loss: 0.9520 2022/08/09 09:40:49 - mmengine - INFO - Epoch(train) [32][420/1879] lr: 2.0000e-03 eta: 10:10:14 time: 1.0292 data_time: 0.0241 memory: 27035 grad_norm: 3.5826 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7798 loss: 0.7798 2022/08/09 09:41:09 - mmengine - INFO - Epoch(train) [32][440/1879] lr: 2.0000e-03 eta: 10:09:54 time: 1.0264 data_time: 0.0246 memory: 27035 grad_norm: 3.6943 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7460 loss: 0.7460 2022/08/09 09:41:30 - mmengine - INFO - Epoch(train) [32][460/1879] lr: 2.0000e-03 eta: 10:09:33 time: 1.0333 data_time: 0.0275 memory: 27035 grad_norm: 3.7225 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8178 loss: 0.8178 2022/08/09 09:41:51 - mmengine - INFO - Epoch(train) [32][480/1879] lr: 2.0000e-03 eta: 10:09:12 time: 1.0285 data_time: 0.0253 memory: 27035 grad_norm: 3.5979 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7302 loss: 0.7302 2022/08/09 09:42:11 - mmengine - INFO - Epoch(train) [32][500/1879] lr: 2.0000e-03 eta: 10:08:51 time: 1.0273 data_time: 0.0246 memory: 27035 grad_norm: 3.5554 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7148 loss: 0.7148 2022/08/09 09:42:32 - mmengine - INFO - Epoch(train) [32][520/1879] lr: 2.0000e-03 eta: 10:08:30 time: 1.0301 data_time: 0.0246 memory: 27035 grad_norm: 3.6487 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9123 loss: 0.9123 2022/08/09 09:42:52 - mmengine - INFO - Epoch(train) [32][540/1879] lr: 2.0000e-03 eta: 10:08:09 time: 1.0323 data_time: 0.0256 memory: 27035 grad_norm: 3.5637 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8688 loss: 0.8688 2022/08/09 09:43:13 - mmengine - INFO - Epoch(train) [32][560/1879] lr: 2.0000e-03 eta: 10:07:48 time: 1.0295 data_time: 0.0245 memory: 27035 grad_norm: 3.6503 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9528 loss: 0.9528 2022/08/09 09:43:34 - mmengine - INFO - Epoch(train) [32][580/1879] lr: 2.0000e-03 eta: 10:07:28 time: 1.0306 data_time: 0.0244 memory: 27035 grad_norm: 3.7506 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8873 loss: 0.8873 2022/08/09 09:43:54 - mmengine - INFO - Epoch(train) [32][600/1879] lr: 2.0000e-03 eta: 10:07:07 time: 1.0290 data_time: 0.0252 memory: 27035 grad_norm: 3.5258 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8607 loss: 0.8607 2022/08/09 09:44:15 - mmengine - INFO - Epoch(train) [32][620/1879] lr: 2.0000e-03 eta: 10:06:46 time: 1.0286 data_time: 0.0244 memory: 27035 grad_norm: 3.6513 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8249 loss: 0.8249 2022/08/09 09:44:35 - mmengine - INFO - Epoch(train) [32][640/1879] lr: 2.0000e-03 eta: 10:06:25 time: 1.0280 data_time: 0.0244 memory: 27035 grad_norm: 3.7391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9850 loss: 0.9850 2022/08/09 09:44:56 - mmengine - INFO - Epoch(train) [32][660/1879] lr: 2.0000e-03 eta: 10:06:04 time: 1.0315 data_time: 0.0252 memory: 27035 grad_norm: 3.7936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0421 loss: 1.0421 2022/08/09 09:45:17 - mmengine - INFO - Epoch(train) [32][680/1879] lr: 2.0000e-03 eta: 10:05:43 time: 1.0308 data_time: 0.0244 memory: 27035 grad_norm: 3.7324 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8219 loss: 0.8219 2022/08/09 09:45:37 - mmengine - INFO - Epoch(train) [32][700/1879] lr: 2.0000e-03 eta: 10:05:23 time: 1.0302 data_time: 0.0239 memory: 27035 grad_norm: 3.6228 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0360 loss: 1.0360 2022/08/09 09:45:58 - mmengine - INFO - Epoch(train) [32][720/1879] lr: 2.0000e-03 eta: 10:05:02 time: 1.0311 data_time: 0.0240 memory: 27035 grad_norm: 3.6841 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7040 loss: 0.7040 2022/08/09 09:46:18 - mmengine - INFO - Epoch(train) [32][740/1879] lr: 2.0000e-03 eta: 10:04:41 time: 1.0298 data_time: 0.0248 memory: 27035 grad_norm: 3.7648 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8781 loss: 0.8781 2022/08/09 09:46:30 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 09:46:39 - mmengine - INFO - Epoch(train) [32][760/1879] lr: 2.0000e-03 eta: 10:04:20 time: 1.0320 data_time: 0.0251 memory: 27035 grad_norm: 3.6353 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8922 loss: 0.8922 2022/08/09 09:47:00 - mmengine - INFO - Epoch(train) [32][780/1879] lr: 2.0000e-03 eta: 10:03:59 time: 1.0264 data_time: 0.0241 memory: 27035 grad_norm: 3.5806 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9042 loss: 0.9042 2022/08/09 09:47:20 - mmengine - INFO - Epoch(train) [32][800/1879] lr: 2.0000e-03 eta: 10:03:38 time: 1.0454 data_time: 0.0412 memory: 27035 grad_norm: 3.6799 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9205 loss: 0.9205 2022/08/09 09:47:41 - mmengine - INFO - Epoch(train) [32][820/1879] lr: 2.0000e-03 eta: 10:03:18 time: 1.0309 data_time: 0.0243 memory: 27035 grad_norm: 3.6715 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8163 loss: 0.8163 2022/08/09 09:48:02 - mmengine - INFO - Epoch(train) [32][840/1879] lr: 2.0000e-03 eta: 10:02:57 time: 1.0287 data_time: 0.0253 memory: 27035 grad_norm: 3.6749 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9083 loss: 0.9083 2022/08/09 09:48:22 - mmengine - INFO - Epoch(train) [32][860/1879] lr: 2.0000e-03 eta: 10:02:36 time: 1.0299 data_time: 0.0250 memory: 27035 grad_norm: 3.6771 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9247 loss: 0.9247 2022/08/09 09:48:43 - mmengine - INFO - Epoch(train) [32][880/1879] lr: 2.0000e-03 eta: 10:02:15 time: 1.0315 data_time: 0.0249 memory: 27035 grad_norm: 3.4929 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7106 loss: 0.7106 2022/08/09 09:49:04 - mmengine - INFO - Epoch(train) [32][900/1879] lr: 2.0000e-03 eta: 10:01:54 time: 1.0359 data_time: 0.0256 memory: 27035 grad_norm: 3.7181 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9516 loss: 0.9516 2022/08/09 09:49:24 - mmengine - INFO - Epoch(train) [32][920/1879] lr: 2.0000e-03 eta: 10:01:33 time: 1.0315 data_time: 0.0253 memory: 27035 grad_norm: 3.6640 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7749 loss: 0.7749 2022/08/09 09:49:45 - mmengine - INFO - Epoch(train) [32][940/1879] lr: 2.0000e-03 eta: 10:01:13 time: 1.0274 data_time: 0.0242 memory: 27035 grad_norm: 3.6558 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8661 loss: 0.8661 2022/08/09 09:50:05 - mmengine - INFO - Epoch(train) [32][960/1879] lr: 2.0000e-03 eta: 10:00:52 time: 1.0313 data_time: 0.0240 memory: 27035 grad_norm: 3.5335 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7977 loss: 0.7977 2022/08/09 09:50:27 - mmengine - INFO - Epoch(train) [32][980/1879] lr: 2.0000e-03 eta: 10:00:31 time: 1.0741 data_time: 0.0662 memory: 27035 grad_norm: 3.6395 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7739 loss: 0.7739 2022/08/09 09:50:48 - mmengine - INFO - Epoch(train) [32][1000/1879] lr: 2.0000e-03 eta: 10:00:11 time: 1.0309 data_time: 0.0236 memory: 27035 grad_norm: 3.6637 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8483 loss: 0.8483 2022/08/09 09:51:08 - mmengine - INFO - Epoch(train) [32][1020/1879] lr: 2.0000e-03 eta: 9:59:50 time: 1.0293 data_time: 0.0251 memory: 27035 grad_norm: 3.6335 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7726 loss: 0.7726 2022/08/09 09:51:29 - mmengine - INFO - Epoch(train) [32][1040/1879] lr: 2.0000e-03 eta: 9:59:29 time: 1.0326 data_time: 0.0260 memory: 27035 grad_norm: 3.7214 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7740 loss: 0.7740 2022/08/09 09:51:49 - mmengine - INFO - Epoch(train) [32][1060/1879] lr: 2.0000e-03 eta: 9:59:08 time: 1.0284 data_time: 0.0241 memory: 27035 grad_norm: 3.7776 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8774 loss: 0.8774 2022/08/09 09:52:10 - mmengine - INFO - Epoch(train) [32][1080/1879] lr: 2.0000e-03 eta: 9:58:47 time: 1.0362 data_time: 0.0241 memory: 27035 grad_norm: 3.7036 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0333 loss: 1.0333 2022/08/09 09:52:31 - mmengine - INFO - Epoch(train) [32][1100/1879] lr: 2.0000e-03 eta: 9:58:27 time: 1.0330 data_time: 0.0252 memory: 27035 grad_norm: 3.5408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8436 loss: 0.8436 2022/08/09 09:52:51 - mmengine - INFO - Epoch(train) [32][1120/1879] lr: 2.0000e-03 eta: 9:58:06 time: 1.0280 data_time: 0.0245 memory: 27035 grad_norm: 3.7118 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8036 loss: 0.8036 2022/08/09 09:53:12 - mmengine - INFO - Epoch(train) [32][1140/1879] lr: 2.0000e-03 eta: 9:57:45 time: 1.0296 data_time: 0.0258 memory: 27035 grad_norm: 3.6321 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6912 loss: 0.6912 2022/08/09 09:53:33 - mmengine - INFO - Epoch(train) [32][1160/1879] lr: 2.0000e-03 eta: 9:57:24 time: 1.0317 data_time: 0.0249 memory: 27035 grad_norm: 3.6489 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.8163 loss: 0.8163 2022/08/09 09:53:53 - mmengine - INFO - Epoch(train) [32][1180/1879] lr: 2.0000e-03 eta: 9:57:03 time: 1.0277 data_time: 0.0246 memory: 27035 grad_norm: 3.6821 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7860 loss: 0.7860 2022/08/09 09:54:14 - mmengine - INFO - Epoch(train) [32][1200/1879] lr: 2.0000e-03 eta: 9:56:42 time: 1.0361 data_time: 0.0247 memory: 27035 grad_norm: 3.6196 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7751 loss: 0.7751 2022/08/09 09:54:35 - mmengine - INFO - Epoch(train) [32][1220/1879] lr: 2.0000e-03 eta: 9:56:21 time: 1.0292 data_time: 0.0237 memory: 27035 grad_norm: 3.8397 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8091 loss: 0.8091 2022/08/09 09:54:55 - mmengine - INFO - Epoch(train) [32][1240/1879] lr: 2.0000e-03 eta: 9:56:01 time: 1.0374 data_time: 0.0251 memory: 27035 grad_norm: 3.6013 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8864 loss: 0.8864 2022/08/09 09:55:16 - mmengine - INFO - Epoch(train) [32][1260/1879] lr: 2.0000e-03 eta: 9:55:40 time: 1.0320 data_time: 0.0247 memory: 27035 grad_norm: 3.5868 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8770 loss: 0.8770 2022/08/09 09:55:36 - mmengine - INFO - Epoch(train) [32][1280/1879] lr: 2.0000e-03 eta: 9:55:19 time: 1.0273 data_time: 0.0245 memory: 27035 grad_norm: 3.7077 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9983 loss: 0.9983 2022/08/09 09:55:57 - mmengine - INFO - Epoch(train) [32][1300/1879] lr: 2.0000e-03 eta: 9:54:58 time: 1.0316 data_time: 0.0241 memory: 27035 grad_norm: 3.6885 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8168 loss: 0.8168 2022/08/09 09:56:18 - mmengine - INFO - Epoch(train) [32][1320/1879] lr: 2.0000e-03 eta: 9:54:37 time: 1.0342 data_time: 0.0247 memory: 27035 grad_norm: 3.7344 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9892 loss: 0.9892 2022/08/09 09:56:38 - mmengine - INFO - Epoch(train) [32][1340/1879] lr: 2.0000e-03 eta: 9:54:17 time: 1.0286 data_time: 0.0249 memory: 27035 grad_norm: 3.5821 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8104 loss: 0.8104 2022/08/09 09:56:59 - mmengine - INFO - Epoch(train) [32][1360/1879] lr: 2.0000e-03 eta: 9:53:56 time: 1.0306 data_time: 0.0243 memory: 27035 grad_norm: 3.7052 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8593 loss: 0.8593 2022/08/09 09:57:20 - mmengine - INFO - Epoch(train) [32][1380/1879] lr: 2.0000e-03 eta: 9:53:35 time: 1.0707 data_time: 0.0242 memory: 27035 grad_norm: 3.7118 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9300 loss: 0.9300 2022/08/09 09:57:41 - mmengine - INFO - Epoch(train) [32][1400/1879] lr: 2.0000e-03 eta: 9:53:14 time: 1.0310 data_time: 0.0251 memory: 27035 grad_norm: 3.8448 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7500 loss: 0.7500 2022/08/09 09:58:02 - mmengine - INFO - Epoch(train) [32][1420/1879] lr: 2.0000e-03 eta: 9:52:54 time: 1.0283 data_time: 0.0246 memory: 27035 grad_norm: 3.7351 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8450 loss: 0.8450 2022/08/09 09:58:22 - mmengine - INFO - Epoch(train) [32][1440/1879] lr: 2.0000e-03 eta: 9:52:33 time: 1.0288 data_time: 0.0248 memory: 27035 grad_norm: 3.6842 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7767 loss: 0.7767 2022/08/09 09:58:43 - mmengine - INFO - Epoch(train) [32][1460/1879] lr: 2.0000e-03 eta: 9:52:12 time: 1.0319 data_time: 0.0264 memory: 27035 grad_norm: 3.8139 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9082 loss: 0.9082 2022/08/09 09:59:04 - mmengine - INFO - Epoch(train) [32][1480/1879] lr: 2.0000e-03 eta: 9:51:51 time: 1.0370 data_time: 0.0312 memory: 27035 grad_norm: 3.7312 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9555 loss: 0.9555 2022/08/09 09:59:24 - mmengine - INFO - Epoch(train) [32][1500/1879] lr: 2.0000e-03 eta: 9:51:30 time: 1.0298 data_time: 0.0246 memory: 27035 grad_norm: 3.7115 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8631 loss: 0.8631 2022/08/09 09:59:45 - mmengine - INFO - Epoch(train) [32][1520/1879] lr: 2.0000e-03 eta: 9:51:09 time: 1.0287 data_time: 0.0248 memory: 27035 grad_norm: 3.6500 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8879 loss: 0.8879 2022/08/09 10:00:06 - mmengine - INFO - Epoch(train) [32][1540/1879] lr: 2.0000e-03 eta: 9:50:49 time: 1.0389 data_time: 0.0255 memory: 27035 grad_norm: 3.7795 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8663 loss: 0.8663 2022/08/09 10:00:27 - mmengine - INFO - Epoch(train) [32][1560/1879] lr: 2.0000e-03 eta: 9:50:28 time: 1.0725 data_time: 0.0679 memory: 27035 grad_norm: 3.8388 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8303 loss: 0.8303 2022/08/09 10:00:48 - mmengine - INFO - Epoch(train) [32][1580/1879] lr: 2.0000e-03 eta: 9:50:08 time: 1.0322 data_time: 0.0249 memory: 27035 grad_norm: 3.6628 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7774 loss: 0.7774 2022/08/09 10:01:08 - mmengine - INFO - Epoch(train) [32][1600/1879] lr: 2.0000e-03 eta: 9:49:47 time: 1.0278 data_time: 0.0239 memory: 27035 grad_norm: 3.6274 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8559 loss: 0.8559 2022/08/09 10:01:29 - mmengine - INFO - Epoch(train) [32][1620/1879] lr: 2.0000e-03 eta: 9:49:26 time: 1.0300 data_time: 0.0263 memory: 27035 grad_norm: 3.6753 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7939 loss: 0.7939 2022/08/09 10:01:50 - mmengine - INFO - Epoch(train) [32][1640/1879] lr: 2.0000e-03 eta: 9:49:05 time: 1.0323 data_time: 0.0256 memory: 27035 grad_norm: 3.8087 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8974 loss: 0.8974 2022/08/09 10:02:10 - mmengine - INFO - Epoch(train) [32][1660/1879] lr: 2.0000e-03 eta: 9:48:44 time: 1.0323 data_time: 0.0252 memory: 27035 grad_norm: 3.6537 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9523 loss: 0.9523 2022/08/09 10:02:31 - mmengine - INFO - Epoch(train) [32][1680/1879] lr: 2.0000e-03 eta: 9:48:23 time: 1.0316 data_time: 0.0263 memory: 27035 grad_norm: 3.7104 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9363 loss: 0.9363 2022/08/09 10:02:51 - mmengine - INFO - Epoch(train) [32][1700/1879] lr: 2.0000e-03 eta: 9:48:03 time: 1.0296 data_time: 0.0264 memory: 27035 grad_norm: 3.7626 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9693 loss: 0.9693 2022/08/09 10:03:12 - mmengine - INFO - Epoch(train) [32][1720/1879] lr: 2.0000e-03 eta: 9:47:42 time: 1.0383 data_time: 0.0255 memory: 27035 grad_norm: 3.6794 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7184 loss: 0.7184 2022/08/09 10:03:33 - mmengine - INFO - Epoch(train) [32][1740/1879] lr: 2.0000e-03 eta: 9:47:21 time: 1.0329 data_time: 0.0247 memory: 27035 grad_norm: 3.6588 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8705 loss: 0.8705 2022/08/09 10:03:44 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 10:03:53 - mmengine - INFO - Epoch(train) [32][1760/1879] lr: 2.0000e-03 eta: 9:47:00 time: 1.0279 data_time: 0.0256 memory: 27035 grad_norm: 3.6649 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8154 loss: 0.8154 2022/08/09 10:04:14 - mmengine - INFO - Epoch(train) [32][1780/1879] lr: 2.0000e-03 eta: 9:46:39 time: 1.0315 data_time: 0.0246 memory: 27035 grad_norm: 3.8084 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1149 loss: 1.1149 2022/08/09 10:04:35 - mmengine - INFO - Epoch(train) [32][1800/1879] lr: 2.0000e-03 eta: 9:46:19 time: 1.0328 data_time: 0.0243 memory: 27035 grad_norm: 3.7888 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8926 loss: 0.8926 2022/08/09 10:04:55 - mmengine - INFO - Epoch(train) [32][1820/1879] lr: 2.0000e-03 eta: 9:45:58 time: 1.0310 data_time: 0.0233 memory: 27035 grad_norm: 3.7878 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0875 loss: 1.0875 2022/08/09 10:05:16 - mmengine - INFO - Epoch(train) [32][1840/1879] lr: 2.0000e-03 eta: 9:45:37 time: 1.0398 data_time: 0.0283 memory: 27035 grad_norm: 3.8280 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8071 loss: 0.8071 2022/08/09 10:05:37 - mmengine - INFO - Epoch(train) [32][1860/1879] lr: 2.0000e-03 eta: 9:45:16 time: 1.0401 data_time: 0.0302 memory: 27035 grad_norm: 3.7497 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7933 loss: 0.7933 2022/08/09 10:05:56 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 10:05:56 - mmengine - INFO - Epoch(train) [32][1879/1879] lr: 2.0000e-03 eta: 9:45:16 time: 1.0007 data_time: 0.0245 memory: 27035 grad_norm: 3.8351 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 0.8197 loss: 0.8197 2022/08/09 10:06:11 - mmengine - INFO - Epoch(val) [32][20/155] eta: 0:01:43 time: 0.7668 data_time: 0.4942 memory: 3270 2022/08/09 10:06:22 - mmengine - INFO - Epoch(val) [32][40/155] eta: 0:01:00 time: 0.5271 data_time: 0.2560 memory: 3270 2022/08/09 10:06:35 - mmengine - INFO - Epoch(val) [32][60/155] eta: 0:01:02 time: 0.6592 data_time: 0.3883 memory: 3270 2022/08/09 10:06:46 - mmengine - INFO - Epoch(val) [32][80/155] eta: 0:00:39 time: 0.5319 data_time: 0.2611 memory: 3270 2022/08/09 10:06:58 - mmengine - INFO - Epoch(val) [32][100/155] eta: 0:00:35 time: 0.6375 data_time: 0.3653 memory: 3270 2022/08/09 10:07:10 - mmengine - INFO - Epoch(val) [32][120/155] eta: 0:00:19 time: 0.5712 data_time: 0.3017 memory: 3270 2022/08/09 10:07:25 - mmengine - INFO - Epoch(val) [32][140/155] eta: 0:00:11 time: 0.7596 data_time: 0.4886 memory: 3270 2022/08/09 10:07:33 - mmengine - INFO - Epoch(val) [32][155/155] acc/top1: 0.7268 acc/top5: 0.9092 acc/mean1: 0.7267 2022/08/09 10:07:59 - mmengine - INFO - Epoch(train) [33][20/1879] lr: 2.0000e-03 eta: 9:44:28 time: 1.3083 data_time: 0.2368 memory: 27035 grad_norm: 3.6278 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8141 loss: 0.8141 2022/08/09 10:08:20 - mmengine - INFO - Epoch(train) [33][40/1879] lr: 2.0000e-03 eta: 9:44:07 time: 1.0316 data_time: 0.0237 memory: 27035 grad_norm: 3.6346 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7621 loss: 0.7621 2022/08/09 10:08:41 - mmengine - INFO - Epoch(train) [33][60/1879] lr: 2.0000e-03 eta: 9:43:46 time: 1.0279 data_time: 0.0241 memory: 27035 grad_norm: 3.6483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8626 loss: 0.8626 2022/08/09 10:09:01 - mmengine - INFO - Epoch(train) [33][80/1879] lr: 2.0000e-03 eta: 9:43:25 time: 1.0290 data_time: 0.0245 memory: 27035 grad_norm: 3.6233 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7467 loss: 0.7467 2022/08/09 10:09:22 - mmengine - INFO - Epoch(train) [33][100/1879] lr: 2.0000e-03 eta: 9:43:04 time: 1.0293 data_time: 0.0249 memory: 27035 grad_norm: 3.6936 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7938 loss: 0.7938 2022/08/09 10:09:42 - mmengine - INFO - Epoch(train) [33][120/1879] lr: 2.0000e-03 eta: 9:42:44 time: 1.0308 data_time: 0.0243 memory: 27035 grad_norm: 3.6248 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8294 loss: 0.8294 2022/08/09 10:10:03 - mmengine - INFO - Epoch(train) [33][140/1879] lr: 2.0000e-03 eta: 9:42:23 time: 1.0277 data_time: 0.0243 memory: 27035 grad_norm: 3.7410 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0615 loss: 1.0615 2022/08/09 10:10:24 - mmengine - INFO - Epoch(train) [33][160/1879] lr: 2.0000e-03 eta: 9:42:02 time: 1.0757 data_time: 0.0604 memory: 27035 grad_norm: 3.6386 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7208 loss: 0.7208 2022/08/09 10:10:45 - mmengine - INFO - Epoch(train) [33][180/1879] lr: 2.0000e-03 eta: 9:41:42 time: 1.0327 data_time: 0.0309 memory: 27035 grad_norm: 3.6980 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8219 loss: 0.8219 2022/08/09 10:11:06 - mmengine - INFO - Epoch(train) [33][200/1879] lr: 2.0000e-03 eta: 9:41:21 time: 1.0338 data_time: 0.0327 memory: 27035 grad_norm: 3.6993 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9092 loss: 0.9092 2022/08/09 10:11:26 - mmengine - INFO - Epoch(train) [33][220/1879] lr: 2.0000e-03 eta: 9:41:00 time: 1.0273 data_time: 0.0243 memory: 27035 grad_norm: 3.7414 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6292 loss: 0.6292 2022/08/09 10:11:47 - mmengine - INFO - Epoch(train) [33][240/1879] lr: 2.0000e-03 eta: 9:40:39 time: 1.0243 data_time: 0.0248 memory: 27035 grad_norm: 3.6863 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7200 loss: 0.7200 2022/08/09 10:12:07 - mmengine - INFO - Epoch(train) [33][260/1879] lr: 2.0000e-03 eta: 9:40:18 time: 1.0304 data_time: 0.0248 memory: 27035 grad_norm: 3.7060 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9474 loss: 0.9474 2022/08/09 10:12:28 - mmengine - INFO - Epoch(train) [33][280/1879] lr: 2.0000e-03 eta: 9:39:57 time: 1.0266 data_time: 0.0241 memory: 27035 grad_norm: 3.6802 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7431 loss: 0.7431 2022/08/09 10:12:49 - mmengine - INFO - Epoch(train) [33][300/1879] lr: 2.0000e-03 eta: 9:39:36 time: 1.0280 data_time: 0.0251 memory: 27035 grad_norm: 3.6706 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8641 loss: 0.8641 2022/08/09 10:13:09 - mmengine - INFO - Epoch(train) [33][320/1879] lr: 2.0000e-03 eta: 9:39:16 time: 1.0258 data_time: 0.0251 memory: 27035 grad_norm: 3.6586 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8059 loss: 0.8059 2022/08/09 10:13:30 - mmengine - INFO - Epoch(train) [33][340/1879] lr: 2.0000e-03 eta: 9:38:55 time: 1.0295 data_time: 0.0246 memory: 27035 grad_norm: 3.7073 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8220 loss: 0.8220 2022/08/09 10:13:50 - mmengine - INFO - Epoch(train) [33][360/1879] lr: 2.0000e-03 eta: 9:38:34 time: 1.0251 data_time: 0.0246 memory: 27035 grad_norm: 3.6140 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7569 loss: 0.7569 2022/08/09 10:14:11 - mmengine - INFO - Epoch(train) [33][380/1879] lr: 2.0000e-03 eta: 9:38:13 time: 1.0301 data_time: 0.0249 memory: 27035 grad_norm: 3.7126 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7576 loss: 0.7576 2022/08/09 10:14:31 - mmengine - INFO - Epoch(train) [33][400/1879] lr: 2.0000e-03 eta: 9:37:52 time: 1.0246 data_time: 0.0249 memory: 27035 grad_norm: 3.8953 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9187 loss: 0.9187 2022/08/09 10:14:52 - mmengine - INFO - Epoch(train) [33][420/1879] lr: 2.0000e-03 eta: 9:37:31 time: 1.0270 data_time: 0.0242 memory: 27035 grad_norm: 3.6135 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8726 loss: 0.8726 2022/08/09 10:15:12 - mmengine - INFO - Epoch(train) [33][440/1879] lr: 2.0000e-03 eta: 9:37:10 time: 1.0290 data_time: 0.0251 memory: 27035 grad_norm: 3.5932 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8610 loss: 0.8610 2022/08/09 10:15:33 - mmengine - INFO - Epoch(train) [33][460/1879] lr: 2.0000e-03 eta: 9:36:50 time: 1.0255 data_time: 0.0228 memory: 27035 grad_norm: 3.8092 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8208 loss: 0.8208 2022/08/09 10:15:53 - mmengine - INFO - Epoch(train) [33][480/1879] lr: 2.0000e-03 eta: 9:36:29 time: 1.0250 data_time: 0.0241 memory: 27035 grad_norm: 3.6378 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 0.8083 loss: 0.8083 2022/08/09 10:16:14 - mmengine - INFO - Epoch(train) [33][500/1879] lr: 2.0000e-03 eta: 9:36:08 time: 1.0262 data_time: 0.0236 memory: 27035 grad_norm: 3.6473 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8529 loss: 0.8529 2022/08/09 10:16:35 - mmengine - INFO - Epoch(train) [33][520/1879] lr: 2.0000e-03 eta: 9:35:47 time: 1.0259 data_time: 0.0241 memory: 27035 grad_norm: 3.6229 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7529 loss: 0.7529 2022/08/09 10:16:55 - mmengine - INFO - Epoch(train) [33][540/1879] lr: 2.0000e-03 eta: 9:35:26 time: 1.0297 data_time: 0.0249 memory: 27035 grad_norm: 3.6915 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9755 loss: 0.9755 2022/08/09 10:17:17 - mmengine - INFO - Epoch(train) [33][560/1879] lr: 2.0000e-03 eta: 9:35:06 time: 1.0689 data_time: 0.0447 memory: 27035 grad_norm: 3.7204 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6602 loss: 0.6602 2022/08/09 10:17:37 - mmengine - INFO - Epoch(train) [33][580/1879] lr: 2.0000e-03 eta: 9:34:45 time: 1.0263 data_time: 0.0250 memory: 27035 grad_norm: 3.6639 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8546 loss: 0.8546 2022/08/09 10:17:58 - mmengine - INFO - Epoch(train) [33][600/1879] lr: 2.0000e-03 eta: 9:34:24 time: 1.0256 data_time: 0.0249 memory: 27035 grad_norm: 3.7469 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9288 loss: 0.9288 2022/08/09 10:18:18 - mmengine - INFO - Epoch(train) [33][620/1879] lr: 2.0000e-03 eta: 9:34:03 time: 1.0340 data_time: 0.0231 memory: 27035 grad_norm: 3.6682 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8579 loss: 0.8579 2022/08/09 10:18:39 - mmengine - INFO - Epoch(train) [33][640/1879] lr: 2.0000e-03 eta: 9:33:42 time: 1.0320 data_time: 0.0267 memory: 27035 grad_norm: 3.6389 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7597 loss: 0.7597 2022/08/09 10:18:59 - mmengine - INFO - Epoch(train) [33][660/1879] lr: 2.0000e-03 eta: 9:33:21 time: 1.0283 data_time: 0.0246 memory: 27035 grad_norm: 3.7106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9247 loss: 0.9247 2022/08/09 10:19:20 - mmengine - INFO - Epoch(train) [33][680/1879] lr: 2.0000e-03 eta: 9:33:01 time: 1.0304 data_time: 0.0248 memory: 27035 grad_norm: 3.6819 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8411 loss: 0.8411 2022/08/09 10:19:41 - mmengine - INFO - Epoch(train) [33][700/1879] lr: 2.0000e-03 eta: 9:32:40 time: 1.0271 data_time: 0.0245 memory: 27035 grad_norm: 3.6680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8334 loss: 0.8334 2022/08/09 10:20:01 - mmengine - INFO - Epoch(train) [33][720/1879] lr: 2.0000e-03 eta: 9:32:19 time: 1.0310 data_time: 0.0269 memory: 27035 grad_norm: 3.6427 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9211 loss: 0.9211 2022/08/09 10:20:22 - mmengine - INFO - Epoch(train) [33][740/1879] lr: 2.0000e-03 eta: 9:31:58 time: 1.0427 data_time: 0.0314 memory: 27035 grad_norm: 3.7486 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7540 loss: 0.7540 2022/08/09 10:20:43 - mmengine - INFO - Epoch(train) [33][760/1879] lr: 2.0000e-03 eta: 9:31:37 time: 1.0268 data_time: 0.0223 memory: 27035 grad_norm: 3.7188 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7707 loss: 0.7707 2022/08/09 10:21:03 - mmengine - INFO - Epoch(train) [33][780/1879] lr: 2.0000e-03 eta: 9:31:17 time: 1.0275 data_time: 0.0253 memory: 27035 grad_norm: 3.7577 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9223 loss: 0.9223 2022/08/09 10:21:24 - mmengine - INFO - Epoch(train) [33][800/1879] lr: 2.0000e-03 eta: 9:30:56 time: 1.0343 data_time: 0.0252 memory: 27035 grad_norm: 3.6668 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6950 loss: 0.6950 2022/08/09 10:21:45 - mmengine - INFO - Epoch(train) [33][820/1879] lr: 2.0000e-03 eta: 9:30:35 time: 1.0312 data_time: 0.0255 memory: 27035 grad_norm: 3.6614 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8095 loss: 0.8095 2022/08/09 10:22:05 - mmengine - INFO - Epoch(train) [33][840/1879] lr: 2.0000e-03 eta: 9:30:14 time: 1.0292 data_time: 0.0239 memory: 27035 grad_norm: 3.5775 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8764 loss: 0.8764 2022/08/09 10:22:26 - mmengine - INFO - Epoch(train) [33][860/1879] lr: 2.0000e-03 eta: 9:29:53 time: 1.0302 data_time: 0.0247 memory: 27035 grad_norm: 3.6539 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7840 loss: 0.7840 2022/08/09 10:22:38 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 10:22:46 - mmengine - INFO - Epoch(train) [33][880/1879] lr: 2.0000e-03 eta: 9:29:33 time: 1.0317 data_time: 0.0249 memory: 27035 grad_norm: 3.6870 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7820 loss: 0.7820 2022/08/09 10:23:07 - mmengine - INFO - Epoch(train) [33][900/1879] lr: 2.0000e-03 eta: 9:29:12 time: 1.0308 data_time: 0.0254 memory: 27035 grad_norm: 3.7731 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0010 loss: 1.0010 2022/08/09 10:23:28 - mmengine - INFO - Epoch(train) [33][920/1879] lr: 2.0000e-03 eta: 9:28:51 time: 1.0303 data_time: 0.0259 memory: 27035 grad_norm: 3.6816 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7532 loss: 0.7532 2022/08/09 10:23:48 - mmengine - INFO - Epoch(train) [33][940/1879] lr: 2.0000e-03 eta: 9:28:30 time: 1.0267 data_time: 0.0244 memory: 27035 grad_norm: 3.7389 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9156 loss: 0.9156 2022/08/09 10:24:09 - mmengine - INFO - Epoch(train) [33][960/1879] lr: 2.0000e-03 eta: 9:28:09 time: 1.0290 data_time: 0.0243 memory: 27035 grad_norm: 3.6956 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8802 loss: 0.8802 2022/08/09 10:24:29 - mmengine - INFO - Epoch(train) [33][980/1879] lr: 2.0000e-03 eta: 9:27:48 time: 1.0307 data_time: 0.0249 memory: 27035 grad_norm: 3.7289 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7926 loss: 0.7926 2022/08/09 10:24:50 - mmengine - INFO - Epoch(train) [33][1000/1879] lr: 2.0000e-03 eta: 9:27:28 time: 1.0299 data_time: 0.0252 memory: 27035 grad_norm: 3.7086 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7268 loss: 0.7268 2022/08/09 10:25:11 - mmengine - INFO - Epoch(train) [33][1020/1879] lr: 2.0000e-03 eta: 9:27:07 time: 1.0415 data_time: 0.0324 memory: 27035 grad_norm: 3.7290 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8242 loss: 0.8242 2022/08/09 10:25:32 - mmengine - INFO - Epoch(train) [33][1040/1879] lr: 2.0000e-03 eta: 9:26:46 time: 1.0352 data_time: 0.0258 memory: 27035 grad_norm: 3.7540 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9115 loss: 0.9115 2022/08/09 10:25:52 - mmengine - INFO - Epoch(train) [33][1060/1879] lr: 2.0000e-03 eta: 9:26:25 time: 1.0318 data_time: 0.0246 memory: 27035 grad_norm: 3.8424 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8496 loss: 0.8496 2022/08/09 10:26:13 - mmengine - INFO - Epoch(train) [33][1080/1879] lr: 2.0000e-03 eta: 9:26:04 time: 1.0346 data_time: 0.0237 memory: 27035 grad_norm: 3.8015 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9240 loss: 0.9240 2022/08/09 10:26:34 - mmengine - INFO - Epoch(train) [33][1100/1879] lr: 2.0000e-03 eta: 9:25:44 time: 1.0527 data_time: 0.0260 memory: 27035 grad_norm: 3.6208 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8391 loss: 0.8391 2022/08/09 10:26:55 - mmengine - INFO - Epoch(train) [33][1120/1879] lr: 2.0000e-03 eta: 9:25:23 time: 1.0300 data_time: 0.0240 memory: 27035 grad_norm: 3.8347 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7740 loss: 0.7740 2022/08/09 10:27:16 - mmengine - INFO - Epoch(train) [33][1140/1879] lr: 2.0000e-03 eta: 9:25:02 time: 1.0510 data_time: 0.0258 memory: 27035 grad_norm: 3.7491 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7966 loss: 0.7966 2022/08/09 10:27:36 - mmengine - INFO - Epoch(train) [33][1160/1879] lr: 2.0000e-03 eta: 9:24:42 time: 1.0337 data_time: 0.0297 memory: 27035 grad_norm: 3.7246 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.9709 loss: 0.9709 2022/08/09 10:27:57 - mmengine - INFO - Epoch(train) [33][1180/1879] lr: 2.0000e-03 eta: 9:24:21 time: 1.0340 data_time: 0.0238 memory: 27035 grad_norm: 3.7314 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8472 loss: 0.8472 2022/08/09 10:28:18 - mmengine - INFO - Epoch(train) [33][1200/1879] lr: 2.0000e-03 eta: 9:24:00 time: 1.0281 data_time: 0.0246 memory: 27035 grad_norm: 3.6918 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8393 loss: 0.8393 2022/08/09 10:28:38 - mmengine - INFO - Epoch(train) [33][1220/1879] lr: 2.0000e-03 eta: 9:23:39 time: 1.0310 data_time: 0.0248 memory: 27035 grad_norm: 3.9149 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8866 loss: 0.8866 2022/08/09 10:28:59 - mmengine - INFO - Epoch(train) [33][1240/1879] lr: 2.0000e-03 eta: 9:23:18 time: 1.0295 data_time: 0.0241 memory: 27035 grad_norm: 3.7407 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8442 loss: 0.8442 2022/08/09 10:29:19 - mmengine - INFO - Epoch(train) [33][1260/1879] lr: 2.0000e-03 eta: 9:22:58 time: 1.0348 data_time: 0.0315 memory: 27035 grad_norm: 3.7800 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7281 loss: 0.7281 2022/08/09 10:29:40 - mmengine - INFO - Epoch(train) [33][1280/1879] lr: 2.0000e-03 eta: 9:22:37 time: 1.0307 data_time: 0.0243 memory: 27035 grad_norm: 3.7450 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9866 loss: 0.9866 2022/08/09 10:30:01 - mmengine - INFO - Epoch(train) [33][1300/1879] lr: 2.0000e-03 eta: 9:22:16 time: 1.0272 data_time: 0.0244 memory: 27035 grad_norm: 3.5877 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8721 loss: 0.8721 2022/08/09 10:30:21 - mmengine - INFO - Epoch(train) [33][1320/1879] lr: 2.0000e-03 eta: 9:21:55 time: 1.0389 data_time: 0.0258 memory: 27035 grad_norm: 3.6933 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8966 loss: 0.8966 2022/08/09 10:30:42 - mmengine - INFO - Epoch(train) [33][1340/1879] lr: 2.0000e-03 eta: 9:21:34 time: 1.0296 data_time: 0.0240 memory: 27035 grad_norm: 3.8183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8428 loss: 0.8428 2022/08/09 10:31:03 - mmengine - INFO - Epoch(train) [33][1360/1879] lr: 2.0000e-03 eta: 9:21:14 time: 1.0326 data_time: 0.0293 memory: 27035 grad_norm: 3.7835 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9059 loss: 0.9059 2022/08/09 10:31:23 - mmengine - INFO - Epoch(train) [33][1380/1879] lr: 2.0000e-03 eta: 9:20:53 time: 1.0316 data_time: 0.0270 memory: 27035 grad_norm: 3.7315 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8164 loss: 0.8164 2022/08/09 10:31:44 - mmengine - INFO - Epoch(train) [33][1400/1879] lr: 2.0000e-03 eta: 9:20:32 time: 1.0270 data_time: 0.0250 memory: 27035 grad_norm: 3.7436 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8975 loss: 0.8975 2022/08/09 10:32:05 - mmengine - INFO - Epoch(train) [33][1420/1879] lr: 2.0000e-03 eta: 9:20:11 time: 1.0390 data_time: 0.0314 memory: 27035 grad_norm: 3.7592 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8346 loss: 0.8346 2022/08/09 10:32:25 - mmengine - INFO - Epoch(train) [33][1440/1879] lr: 2.0000e-03 eta: 9:19:50 time: 1.0347 data_time: 0.0258 memory: 27035 grad_norm: 3.7561 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8439 loss: 0.8439 2022/08/09 10:32:46 - mmengine - INFO - Epoch(train) [33][1460/1879] lr: 2.0000e-03 eta: 9:19:30 time: 1.0272 data_time: 0.0238 memory: 27035 grad_norm: 3.6752 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7659 loss: 0.7659 2022/08/09 10:33:06 - mmengine - INFO - Epoch(train) [33][1480/1879] lr: 2.0000e-03 eta: 9:19:09 time: 1.0284 data_time: 0.0249 memory: 27035 grad_norm: 3.7476 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9182 loss: 0.9182 2022/08/09 10:33:27 - mmengine - INFO - Epoch(train) [33][1500/1879] lr: 2.0000e-03 eta: 9:18:48 time: 1.0298 data_time: 0.0246 memory: 27035 grad_norm: 3.6586 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8028 loss: 0.8028 2022/08/09 10:33:48 - mmengine - INFO - Epoch(train) [33][1520/1879] lr: 2.0000e-03 eta: 9:18:27 time: 1.0319 data_time: 0.0258 memory: 27035 grad_norm: 3.6484 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8052 loss: 0.8052 2022/08/09 10:34:08 - mmengine - INFO - Epoch(train) [33][1540/1879] lr: 2.0000e-03 eta: 9:18:06 time: 1.0309 data_time: 0.0253 memory: 27035 grad_norm: 3.7052 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9643 loss: 0.9643 2022/08/09 10:34:29 - mmengine - INFO - Epoch(train) [33][1560/1879] lr: 2.0000e-03 eta: 9:17:46 time: 1.0358 data_time: 0.0244 memory: 27035 grad_norm: 3.6488 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7731 loss: 0.7731 2022/08/09 10:34:50 - mmengine - INFO - Epoch(train) [33][1580/1879] lr: 2.0000e-03 eta: 9:17:25 time: 1.0311 data_time: 0.0243 memory: 27035 grad_norm: 3.6269 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8180 loss: 0.8180 2022/08/09 10:35:10 - mmengine - INFO - Epoch(train) [33][1600/1879] lr: 2.0000e-03 eta: 9:17:04 time: 1.0300 data_time: 0.0245 memory: 27035 grad_norm: 3.8546 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9033 loss: 0.9033 2022/08/09 10:35:31 - mmengine - INFO - Epoch(train) [33][1620/1879] lr: 2.0000e-03 eta: 9:16:43 time: 1.0291 data_time: 0.0236 memory: 27035 grad_norm: 3.7903 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8954 loss: 0.8954 2022/08/09 10:35:52 - mmengine - INFO - Epoch(train) [33][1640/1879] lr: 2.0000e-03 eta: 9:16:22 time: 1.0299 data_time: 0.0245 memory: 27035 grad_norm: 3.7018 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6976 loss: 0.6976 2022/08/09 10:36:12 - mmengine - INFO - Epoch(train) [33][1660/1879] lr: 2.0000e-03 eta: 9:16:01 time: 1.0279 data_time: 0.0246 memory: 27035 grad_norm: 3.7526 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8125 loss: 0.8125 2022/08/09 10:36:33 - mmengine - INFO - Epoch(train) [33][1680/1879] lr: 2.0000e-03 eta: 9:15:41 time: 1.0303 data_time: 0.0246 memory: 27035 grad_norm: 3.7101 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8301 loss: 0.8301 2022/08/09 10:36:53 - mmengine - INFO - Epoch(train) [33][1700/1879] lr: 2.0000e-03 eta: 9:15:20 time: 1.0276 data_time: 0.0244 memory: 27035 grad_norm: 3.8418 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9830 loss: 0.9830 2022/08/09 10:37:14 - mmengine - INFO - Epoch(train) [33][1720/1879] lr: 2.0000e-03 eta: 9:14:59 time: 1.0614 data_time: 0.0245 memory: 27035 grad_norm: 3.8996 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8124 loss: 0.8124 2022/08/09 10:37:35 - mmengine - INFO - Epoch(train) [33][1740/1879] lr: 2.0000e-03 eta: 9:14:38 time: 1.0297 data_time: 0.0253 memory: 27035 grad_norm: 3.7622 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9009 loss: 0.9009 2022/08/09 10:37:56 - mmengine - INFO - Epoch(train) [33][1760/1879] lr: 2.0000e-03 eta: 9:14:18 time: 1.0277 data_time: 0.0249 memory: 27035 grad_norm: 3.7113 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7101 loss: 0.7101 2022/08/09 10:38:16 - mmengine - INFO - Epoch(train) [33][1780/1879] lr: 2.0000e-03 eta: 9:13:57 time: 1.0331 data_time: 0.0244 memory: 27035 grad_norm: 3.7405 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7804 loss: 0.7804 2022/08/09 10:38:37 - mmengine - INFO - Epoch(train) [33][1800/1879] lr: 2.0000e-03 eta: 9:13:36 time: 1.0321 data_time: 0.0258 memory: 27035 grad_norm: 3.6935 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9570 loss: 0.9570 2022/08/09 10:38:58 - mmengine - INFO - Epoch(train) [33][1820/1879] lr: 2.0000e-03 eta: 9:13:15 time: 1.0292 data_time: 0.0247 memory: 27035 grad_norm: 3.8543 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8134 loss: 0.8134 2022/08/09 10:39:18 - mmengine - INFO - Epoch(train) [33][1840/1879] lr: 2.0000e-03 eta: 9:12:54 time: 1.0312 data_time: 0.0251 memory: 27035 grad_norm: 3.8328 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8718 loss: 0.8718 2022/08/09 10:39:39 - mmengine - INFO - Epoch(train) [33][1860/1879] lr: 2.0000e-03 eta: 9:12:34 time: 1.0288 data_time: 0.0257 memory: 27035 grad_norm: 3.8266 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7910 loss: 0.7910 2022/08/09 10:39:51 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 10:39:58 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 10:39:58 - mmengine - INFO - Epoch(train) [33][1879/1879] lr: 2.0000e-03 eta: 9:12:34 time: 1.0134 data_time: 0.0245 memory: 27035 grad_norm: 3.8396 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8269 loss: 0.8269 2022/08/09 10:39:58 - mmengine - INFO - Saving checkpoint at 33 epochs 2022/08/09 10:40:16 - mmengine - INFO - Epoch(val) [33][20/155] eta: 0:01:48 time: 0.8063 data_time: 0.5360 memory: 3270 2022/08/09 10:40:28 - mmengine - INFO - Epoch(val) [33][40/155] eta: 0:01:06 time: 0.5759 data_time: 0.3057 memory: 3270 2022/08/09 10:40:40 - mmengine - INFO - Epoch(val) [33][60/155] eta: 0:01:00 time: 0.6389 data_time: 0.3669 memory: 3270 2022/08/09 10:40:51 - mmengine - INFO - Epoch(val) [33][80/155] eta: 0:00:39 time: 0.5308 data_time: 0.2605 memory: 3270 2022/08/09 10:41:04 - mmengine - INFO - Epoch(val) [33][100/155] eta: 0:00:35 time: 0.6487 data_time: 0.3790 memory: 3270 2022/08/09 10:41:15 - mmengine - INFO - Epoch(val) [33][120/155] eta: 0:00:19 time: 0.5673 data_time: 0.2975 memory: 3270 2022/08/09 10:41:29 - mmengine - INFO - Epoch(val) [33][140/155] eta: 0:00:10 time: 0.7080 data_time: 0.4381 memory: 3270 2022/08/09 10:41:37 - mmengine - INFO - Epoch(val) [33][155/155] acc/top1: 0.7267 acc/top5: 0.9068 acc/mean1: 0.7266 2022/08/09 10:42:03 - mmengine - INFO - Epoch(train) [34][20/1879] lr: 2.0000e-03 eta: 9:11:46 time: 1.2994 data_time: 0.2185 memory: 27035 grad_norm: 3.7486 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9250 loss: 0.9250 2022/08/09 10:42:24 - mmengine - INFO - Epoch(train) [34][40/1879] lr: 2.0000e-03 eta: 9:11:25 time: 1.0265 data_time: 0.0242 memory: 27035 grad_norm: 3.6999 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6646 loss: 0.6646 2022/08/09 10:42:44 - mmengine - INFO - Epoch(train) [34][60/1879] lr: 2.0000e-03 eta: 9:11:04 time: 1.0277 data_time: 0.0246 memory: 27035 grad_norm: 3.7816 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9035 loss: 0.9035 2022/08/09 10:43:05 - mmengine - INFO - Epoch(train) [34][80/1879] lr: 2.0000e-03 eta: 9:10:43 time: 1.0275 data_time: 0.0251 memory: 27035 grad_norm: 3.7098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8651 loss: 0.8651 2022/08/09 10:43:26 - mmengine - INFO - Epoch(train) [34][100/1879] lr: 2.0000e-03 eta: 9:10:22 time: 1.0304 data_time: 0.0260 memory: 27035 grad_norm: 3.8300 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.0073 loss: 1.0073 2022/08/09 10:43:46 - mmengine - INFO - Epoch(train) [34][120/1879] lr: 2.0000e-03 eta: 9:10:01 time: 1.0273 data_time: 0.0238 memory: 27035 grad_norm: 3.7807 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8049 loss: 0.8049 2022/08/09 10:44:07 - mmengine - INFO - Epoch(train) [34][140/1879] lr: 2.0000e-03 eta: 9:09:41 time: 1.0288 data_time: 0.0237 memory: 27035 grad_norm: 3.6290 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7977 loss: 0.7977 2022/08/09 10:44:27 - mmengine - INFO - Epoch(train) [34][160/1879] lr: 2.0000e-03 eta: 9:09:20 time: 1.0299 data_time: 0.0248 memory: 27035 grad_norm: 3.6804 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7645 loss: 0.7645 2022/08/09 10:44:48 - mmengine - INFO - Epoch(train) [34][180/1879] lr: 2.0000e-03 eta: 9:08:59 time: 1.0277 data_time: 0.0244 memory: 27035 grad_norm: 3.5391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8572 loss: 0.8572 2022/08/09 10:45:09 - mmengine - INFO - Epoch(train) [34][200/1879] lr: 2.0000e-03 eta: 9:08:38 time: 1.0346 data_time: 0.0263 memory: 27035 grad_norm: 3.6556 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8871 loss: 0.8871 2022/08/09 10:45:29 - mmengine - INFO - Epoch(train) [34][220/1879] lr: 2.0000e-03 eta: 9:08:17 time: 1.0283 data_time: 0.0252 memory: 27035 grad_norm: 3.7409 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7923 loss: 0.7923 2022/08/09 10:45:50 - mmengine - INFO - Epoch(train) [34][240/1879] lr: 2.0000e-03 eta: 9:07:57 time: 1.0270 data_time: 0.0245 memory: 27035 grad_norm: 3.6321 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7342 loss: 0.7342 2022/08/09 10:46:10 - mmengine - INFO - Epoch(train) [34][260/1879] lr: 2.0000e-03 eta: 9:07:36 time: 1.0260 data_time: 0.0244 memory: 27035 grad_norm: 3.8007 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8998 loss: 0.8998 2022/08/09 10:46:31 - mmengine - INFO - Epoch(train) [34][280/1879] lr: 2.0000e-03 eta: 9:07:15 time: 1.0292 data_time: 0.0245 memory: 27035 grad_norm: 3.7186 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8731 loss: 0.8731 2022/08/09 10:46:51 - mmengine - INFO - Epoch(train) [34][300/1879] lr: 2.0000e-03 eta: 9:06:54 time: 1.0244 data_time: 0.0250 memory: 27035 grad_norm: 3.8042 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8083 loss: 0.8083 2022/08/09 10:47:12 - mmengine - INFO - Epoch(train) [34][320/1879] lr: 2.0000e-03 eta: 9:06:33 time: 1.0284 data_time: 0.0240 memory: 27035 grad_norm: 3.7948 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7667 loss: 0.7667 2022/08/09 10:47:33 - mmengine - INFO - Epoch(train) [34][340/1879] lr: 2.0000e-03 eta: 9:06:13 time: 1.0579 data_time: 0.0524 memory: 27035 grad_norm: 3.7250 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.9867 loss: 0.9867 2022/08/09 10:47:54 - mmengine - INFO - Epoch(train) [34][360/1879] lr: 2.0000e-03 eta: 9:05:52 time: 1.0267 data_time: 0.0236 memory: 27035 grad_norm: 3.7753 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8279 loss: 0.8279 2022/08/09 10:48:14 - mmengine - INFO - Epoch(train) [34][380/1879] lr: 2.0000e-03 eta: 9:05:31 time: 1.0314 data_time: 0.0243 memory: 27035 grad_norm: 3.7708 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8514 loss: 0.8514 2022/08/09 10:48:35 - mmengine - INFO - Epoch(train) [34][400/1879] lr: 2.0000e-03 eta: 9:05:10 time: 1.0258 data_time: 0.0244 memory: 27035 grad_norm: 3.7667 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6710 loss: 0.6710 2022/08/09 10:48:55 - mmengine - INFO - Epoch(train) [34][420/1879] lr: 2.0000e-03 eta: 9:04:49 time: 1.0276 data_time: 0.0244 memory: 27035 grad_norm: 3.7428 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7429 loss: 0.7429 2022/08/09 10:49:16 - mmengine - INFO - Epoch(train) [34][440/1879] lr: 2.0000e-03 eta: 9:04:28 time: 1.0310 data_time: 0.0300 memory: 27035 grad_norm: 3.7321 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8716 loss: 0.8716 2022/08/09 10:49:36 - mmengine - INFO - Epoch(train) [34][460/1879] lr: 2.0000e-03 eta: 9:04:08 time: 1.0265 data_time: 0.0238 memory: 27035 grad_norm: 3.6438 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7817 loss: 0.7817 2022/08/09 10:49:57 - mmengine - INFO - Epoch(train) [34][480/1879] lr: 2.0000e-03 eta: 9:03:47 time: 1.0259 data_time: 0.0247 memory: 27035 grad_norm: 3.7750 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8523 loss: 0.8523 2022/08/09 10:50:18 - mmengine - INFO - Epoch(train) [34][500/1879] lr: 2.0000e-03 eta: 9:03:26 time: 1.0353 data_time: 0.0269 memory: 27035 grad_norm: 3.6854 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7206 loss: 0.7206 2022/08/09 10:50:38 - mmengine - INFO - Epoch(train) [34][520/1879] lr: 2.0000e-03 eta: 9:03:05 time: 1.0285 data_time: 0.0244 memory: 27035 grad_norm: 3.7294 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7791 loss: 0.7791 2022/08/09 10:50:59 - mmengine - INFO - Epoch(train) [34][540/1879] lr: 2.0000e-03 eta: 9:02:44 time: 1.0283 data_time: 0.0250 memory: 27035 grad_norm: 3.7449 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7296 loss: 0.7296 2022/08/09 10:51:19 - mmengine - INFO - Epoch(train) [34][560/1879] lr: 2.0000e-03 eta: 9:02:24 time: 1.0265 data_time: 0.0234 memory: 27035 grad_norm: 3.7124 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8204 loss: 0.8204 2022/08/09 10:51:40 - mmengine - INFO - Epoch(train) [34][580/1879] lr: 2.0000e-03 eta: 9:02:03 time: 1.0308 data_time: 0.0234 memory: 27035 grad_norm: 3.7443 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7816 loss: 0.7816 2022/08/09 10:52:01 - mmengine - INFO - Epoch(train) [34][600/1879] lr: 2.0000e-03 eta: 9:01:42 time: 1.0288 data_time: 0.0248 memory: 27035 grad_norm: 3.7535 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7319 loss: 0.7319 2022/08/09 10:52:21 - mmengine - INFO - Epoch(train) [34][620/1879] lr: 2.0000e-03 eta: 9:01:21 time: 1.0301 data_time: 0.0225 memory: 27035 grad_norm: 3.7991 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0058 loss: 1.0058 2022/08/09 10:52:42 - mmengine - INFO - Epoch(train) [34][640/1879] lr: 2.0000e-03 eta: 9:01:00 time: 1.0281 data_time: 0.0249 memory: 27035 grad_norm: 3.7312 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7333 loss: 0.7333 2022/08/09 10:53:02 - mmengine - INFO - Epoch(train) [34][660/1879] lr: 2.0000e-03 eta: 9:00:39 time: 1.0307 data_time: 0.0253 memory: 27035 grad_norm: 3.7729 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7877 loss: 0.7877 2022/08/09 10:53:23 - mmengine - INFO - Epoch(train) [34][680/1879] lr: 2.0000e-03 eta: 9:00:19 time: 1.0338 data_time: 0.0311 memory: 27035 grad_norm: 3.5355 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8374 loss: 0.8374 2022/08/09 10:53:44 - mmengine - INFO - Epoch(train) [34][700/1879] lr: 2.0000e-03 eta: 8:59:58 time: 1.0311 data_time: 0.0255 memory: 27035 grad_norm: 3.7836 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8865 loss: 0.8865 2022/08/09 10:54:04 - mmengine - INFO - Epoch(train) [34][720/1879] lr: 2.0000e-03 eta: 8:59:37 time: 1.0307 data_time: 0.0240 memory: 27035 grad_norm: 3.6431 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9256 loss: 0.9256 2022/08/09 10:54:25 - mmengine - INFO - Epoch(train) [34][740/1879] lr: 2.0000e-03 eta: 8:59:16 time: 1.0290 data_time: 0.0249 memory: 27035 grad_norm: 3.6872 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7321 loss: 0.7321 2022/08/09 10:54:46 - mmengine - INFO - Epoch(train) [34][760/1879] lr: 2.0000e-03 eta: 8:58:55 time: 1.0311 data_time: 0.0242 memory: 27035 grad_norm: 3.6595 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8105 loss: 0.8105 2022/08/09 10:55:06 - mmengine - INFO - Epoch(train) [34][780/1879] lr: 2.0000e-03 eta: 8:58:35 time: 1.0293 data_time: 0.0254 memory: 27035 grad_norm: 3.8591 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8703 loss: 0.8703 2022/08/09 10:55:28 - mmengine - INFO - Epoch(train) [34][800/1879] lr: 2.0000e-03 eta: 8:58:15 time: 1.1056 data_time: 0.0935 memory: 27035 grad_norm: 3.7915 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8461 loss: 0.8461 2022/08/09 10:55:49 - mmengine - INFO - Epoch(train) [34][820/1879] lr: 2.0000e-03 eta: 8:57:54 time: 1.0293 data_time: 0.0244 memory: 27035 grad_norm: 3.6812 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8275 loss: 0.8275 2022/08/09 10:56:10 - mmengine - INFO - Epoch(train) [34][840/1879] lr: 2.0000e-03 eta: 8:57:33 time: 1.0329 data_time: 0.0243 memory: 27035 grad_norm: 3.7268 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8315 loss: 0.8315 2022/08/09 10:56:30 - mmengine - INFO - Epoch(train) [34][860/1879] lr: 2.0000e-03 eta: 8:57:12 time: 1.0411 data_time: 0.0374 memory: 27035 grad_norm: 3.7152 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9276 loss: 0.9276 2022/08/09 10:56:51 - mmengine - INFO - Epoch(train) [34][880/1879] lr: 2.0000e-03 eta: 8:56:51 time: 1.0291 data_time: 0.0249 memory: 27035 grad_norm: 3.7650 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9006 loss: 0.9006 2022/08/09 10:57:12 - mmengine - INFO - Epoch(train) [34][900/1879] lr: 2.0000e-03 eta: 8:56:31 time: 1.0304 data_time: 0.0248 memory: 27035 grad_norm: 3.7009 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9174 loss: 0.9174 2022/08/09 10:57:33 - mmengine - INFO - Epoch(train) [34][920/1879] lr: 2.0000e-03 eta: 8:56:10 time: 1.0628 data_time: 0.0568 memory: 27035 grad_norm: 3.8035 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8552 loss: 0.8552 2022/08/09 10:57:53 - mmengine - INFO - Epoch(train) [34][940/1879] lr: 2.0000e-03 eta: 8:55:49 time: 1.0274 data_time: 0.0246 memory: 27035 grad_norm: 3.8141 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8393 loss: 0.8393 2022/08/09 10:58:14 - mmengine - INFO - Epoch(train) [34][960/1879] lr: 2.0000e-03 eta: 8:55:29 time: 1.0298 data_time: 0.0238 memory: 27035 grad_norm: 3.8540 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9241 loss: 0.9241 2022/08/09 10:58:35 - mmengine - INFO - Epoch(train) [34][980/1879] lr: 2.0000e-03 eta: 8:55:08 time: 1.0274 data_time: 0.0246 memory: 27035 grad_norm: 3.7623 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8449 loss: 0.8449 2022/08/09 10:58:48 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 10:58:55 - mmengine - INFO - Epoch(train) [34][1000/1879] lr: 2.0000e-03 eta: 8:54:47 time: 1.0313 data_time: 0.0239 memory: 27035 grad_norm: 3.7342 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8184 loss: 0.8184 2022/08/09 10:59:16 - mmengine - INFO - Epoch(train) [34][1020/1879] lr: 2.0000e-03 eta: 8:54:26 time: 1.0360 data_time: 0.0242 memory: 27035 grad_norm: 3.7194 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7578 loss: 0.7578 2022/08/09 10:59:37 - mmengine - INFO - Epoch(train) [34][1040/1879] lr: 2.0000e-03 eta: 8:54:05 time: 1.0415 data_time: 0.0378 memory: 27035 grad_norm: 3.7884 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8194 loss: 0.8194 2022/08/09 10:59:57 - mmengine - INFO - Epoch(train) [34][1060/1879] lr: 2.0000e-03 eta: 8:53:45 time: 1.0300 data_time: 0.0241 memory: 27035 grad_norm: 3.6699 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8824 loss: 0.8824 2022/08/09 11:00:18 - mmengine - INFO - Epoch(train) [34][1080/1879] lr: 2.0000e-03 eta: 8:53:24 time: 1.0474 data_time: 0.0284 memory: 27035 grad_norm: 3.8262 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8348 loss: 0.8348 2022/08/09 11:00:39 - mmengine - INFO - Epoch(train) [34][1100/1879] lr: 2.0000e-03 eta: 8:53:03 time: 1.0344 data_time: 0.0223 memory: 27035 grad_norm: 3.6636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9303 loss: 0.9303 2022/08/09 11:01:00 - mmengine - INFO - Epoch(train) [34][1120/1879] lr: 2.0000e-03 eta: 8:52:42 time: 1.0280 data_time: 0.0243 memory: 27035 grad_norm: 3.8238 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8665 loss: 0.8665 2022/08/09 11:01:20 - mmengine - INFO - Epoch(train) [34][1140/1879] lr: 2.0000e-03 eta: 8:52:22 time: 1.0311 data_time: 0.0238 memory: 27035 grad_norm: 3.6404 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7924 loss: 0.7924 2022/08/09 11:01:41 - mmengine - INFO - Epoch(train) [34][1160/1879] lr: 2.0000e-03 eta: 8:52:01 time: 1.0268 data_time: 0.0245 memory: 27035 grad_norm: 3.7470 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8968 loss: 0.8968 2022/08/09 11:02:01 - mmengine - INFO - Epoch(train) [34][1180/1879] lr: 2.0000e-03 eta: 8:51:40 time: 1.0300 data_time: 0.0242 memory: 27035 grad_norm: 3.8135 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9103 loss: 0.9103 2022/08/09 11:02:22 - mmengine - INFO - Epoch(train) [34][1200/1879] lr: 2.0000e-03 eta: 8:51:19 time: 1.0259 data_time: 0.0235 memory: 27035 grad_norm: 3.7871 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8974 loss: 0.8974 2022/08/09 11:02:42 - mmengine - INFO - Epoch(train) [34][1220/1879] lr: 2.0000e-03 eta: 8:50:58 time: 1.0279 data_time: 0.0246 memory: 27035 grad_norm: 3.6687 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8354 loss: 0.8354 2022/08/09 11:03:03 - mmengine - INFO - Epoch(train) [34][1240/1879] lr: 2.0000e-03 eta: 8:50:38 time: 1.0320 data_time: 0.0296 memory: 27035 grad_norm: 3.7380 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8172 loss: 0.8172 2022/08/09 11:03:24 - mmengine - INFO - Epoch(train) [34][1260/1879] lr: 2.0000e-03 eta: 8:50:17 time: 1.0309 data_time: 0.0243 memory: 27035 grad_norm: 3.6922 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6955 loss: 0.6955 2022/08/09 11:03:44 - mmengine - INFO - Epoch(train) [34][1280/1879] lr: 2.0000e-03 eta: 8:49:56 time: 1.0263 data_time: 0.0235 memory: 27035 grad_norm: 3.7128 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9776 loss: 0.9776 2022/08/09 11:04:05 - mmengine - INFO - Epoch(train) [34][1300/1879] lr: 2.0000e-03 eta: 8:49:35 time: 1.0288 data_time: 0.0241 memory: 27035 grad_norm: 3.6428 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8733 loss: 0.8733 2022/08/09 11:04:25 - mmengine - INFO - Epoch(train) [34][1320/1879] lr: 2.0000e-03 eta: 8:49:14 time: 1.0277 data_time: 0.0248 memory: 27035 grad_norm: 3.7488 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8416 loss: 0.8416 2022/08/09 11:04:46 - mmengine - INFO - Epoch(train) [34][1340/1879] lr: 2.0000e-03 eta: 8:48:53 time: 1.0276 data_time: 0.0235 memory: 27035 grad_norm: 3.8792 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8743 loss: 0.8743 2022/08/09 11:05:07 - mmengine - INFO - Epoch(train) [34][1360/1879] lr: 2.0000e-03 eta: 8:48:33 time: 1.0275 data_time: 0.0242 memory: 27035 grad_norm: 3.7480 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8414 loss: 0.8414 2022/08/09 11:05:28 - mmengine - INFO - Epoch(train) [34][1380/1879] lr: 2.0000e-03 eta: 8:48:12 time: 1.0989 data_time: 0.0816 memory: 27035 grad_norm: 3.8458 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9358 loss: 0.9358 2022/08/09 11:05:49 - mmengine - INFO - Epoch(train) [34][1400/1879] lr: 2.0000e-03 eta: 8:47:52 time: 1.0265 data_time: 0.0233 memory: 27035 grad_norm: 3.8485 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7951 loss: 0.7951 2022/08/09 11:06:10 - mmengine - INFO - Epoch(train) [34][1420/1879] lr: 2.0000e-03 eta: 8:47:31 time: 1.0339 data_time: 0.0238 memory: 27035 grad_norm: 3.7075 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9754 loss: 0.9754 2022/08/09 11:06:30 - mmengine - INFO - Epoch(train) [34][1440/1879] lr: 2.0000e-03 eta: 8:47:10 time: 1.0271 data_time: 0.0233 memory: 27035 grad_norm: 3.7750 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7795 loss: 0.7795 2022/08/09 11:06:51 - mmengine - INFO - Epoch(train) [34][1460/1879] lr: 2.0000e-03 eta: 8:46:49 time: 1.0339 data_time: 0.0301 memory: 27035 grad_norm: 3.7059 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8025 loss: 0.8025 2022/08/09 11:07:12 - mmengine - INFO - Epoch(train) [34][1480/1879] lr: 2.0000e-03 eta: 8:46:28 time: 1.0293 data_time: 0.0239 memory: 27035 grad_norm: 3.8374 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0013 loss: 1.0013 2022/08/09 11:07:33 - mmengine - INFO - Epoch(train) [34][1500/1879] lr: 2.0000e-03 eta: 8:46:08 time: 1.0612 data_time: 0.0572 memory: 27035 grad_norm: 3.7349 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8632 loss: 0.8632 2022/08/09 11:07:53 - mmengine - INFO - Epoch(train) [34][1520/1879] lr: 2.0000e-03 eta: 8:45:47 time: 1.0278 data_time: 0.0234 memory: 27035 grad_norm: 3.8498 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0028 loss: 1.0028 2022/08/09 11:08:14 - mmengine - INFO - Epoch(train) [34][1540/1879] lr: 2.0000e-03 eta: 8:45:26 time: 1.0297 data_time: 0.0240 memory: 27035 grad_norm: 3.9234 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9371 loss: 0.9371 2022/08/09 11:08:34 - mmengine - INFO - Epoch(train) [34][1560/1879] lr: 2.0000e-03 eta: 8:45:05 time: 1.0267 data_time: 0.0247 memory: 27035 grad_norm: 3.7841 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7676 loss: 0.7676 2022/08/09 11:08:55 - mmengine - INFO - Epoch(train) [34][1580/1879] lr: 2.0000e-03 eta: 8:44:45 time: 1.0282 data_time: 0.0231 memory: 27035 grad_norm: 3.8842 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8270 loss: 0.8270 2022/08/09 11:09:16 - mmengine - INFO - Epoch(train) [34][1600/1879] lr: 2.0000e-03 eta: 8:44:24 time: 1.0296 data_time: 0.0263 memory: 27035 grad_norm: 3.8032 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7617 loss: 0.7617 2022/08/09 11:09:36 - mmengine - INFO - Epoch(train) [34][1620/1879] lr: 2.0000e-03 eta: 8:44:03 time: 1.0303 data_time: 0.0244 memory: 27035 grad_norm: 3.8094 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9225 loss: 0.9225 2022/08/09 11:09:57 - mmengine - INFO - Epoch(train) [34][1640/1879] lr: 2.0000e-03 eta: 8:43:42 time: 1.0307 data_time: 0.0235 memory: 27035 grad_norm: 3.8481 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0637 loss: 1.0637 2022/08/09 11:10:18 - mmengine - INFO - Epoch(train) [34][1660/1879] lr: 2.0000e-03 eta: 8:43:21 time: 1.0365 data_time: 0.0247 memory: 27035 grad_norm: 3.8346 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9843 loss: 0.9843 2022/08/09 11:10:38 - mmengine - INFO - Epoch(train) [34][1680/1879] lr: 2.0000e-03 eta: 8:43:01 time: 1.0345 data_time: 0.0239 memory: 27035 grad_norm: 3.8637 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8876 loss: 0.8876 2022/08/09 11:10:59 - mmengine - INFO - Epoch(train) [34][1700/1879] lr: 2.0000e-03 eta: 8:42:40 time: 1.0269 data_time: 0.0233 memory: 27035 grad_norm: 3.8335 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6760 loss: 0.6760 2022/08/09 11:11:19 - mmengine - INFO - Epoch(train) [34][1720/1879] lr: 2.0000e-03 eta: 8:42:19 time: 1.0294 data_time: 0.0236 memory: 27035 grad_norm: 3.7657 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8320 loss: 0.8320 2022/08/09 11:11:40 - mmengine - INFO - Epoch(train) [34][1740/1879] lr: 2.0000e-03 eta: 8:41:58 time: 1.0302 data_time: 0.0264 memory: 27035 grad_norm: 3.7489 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8596 loss: 0.8596 2022/08/09 11:12:01 - mmengine - INFO - Epoch(train) [34][1760/1879] lr: 2.0000e-03 eta: 8:41:37 time: 1.0279 data_time: 0.0241 memory: 27035 grad_norm: 3.8225 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0445 loss: 1.0445 2022/08/09 11:12:21 - mmengine - INFO - Epoch(train) [34][1780/1879] lr: 2.0000e-03 eta: 8:41:17 time: 1.0264 data_time: 0.0235 memory: 27035 grad_norm: 3.8261 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9016 loss: 0.9016 2022/08/09 11:12:42 - mmengine - INFO - Epoch(train) [34][1800/1879] lr: 2.0000e-03 eta: 8:40:56 time: 1.0627 data_time: 0.0251 memory: 27035 grad_norm: 3.9184 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9012 loss: 0.9012 2022/08/09 11:13:03 - mmengine - INFO - Epoch(train) [34][1820/1879] lr: 2.0000e-03 eta: 8:40:35 time: 1.0299 data_time: 0.0249 memory: 27035 grad_norm: 3.9105 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8347 loss: 0.8347 2022/08/09 11:13:24 - mmengine - INFO - Epoch(train) [34][1840/1879] lr: 2.0000e-03 eta: 8:40:15 time: 1.0340 data_time: 0.0303 memory: 27035 grad_norm: 3.5321 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8383 loss: 0.8383 2022/08/09 11:13:44 - mmengine - INFO - Epoch(train) [34][1860/1879] lr: 2.0000e-03 eta: 8:39:54 time: 1.0329 data_time: 0.0234 memory: 27035 grad_norm: 3.6604 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7879 loss: 0.7879 2022/08/09 11:14:04 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 11:14:04 - mmengine - INFO - Epoch(train) [34][1879/1879] lr: 2.0000e-03 eta: 8:39:54 time: 1.0262 data_time: 0.0291 memory: 27035 grad_norm: 3.8132 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8711 loss: 0.8711 2022/08/09 11:14:20 - mmengine - INFO - Epoch(val) [34][20/155] eta: 0:01:49 time: 0.8085 data_time: 0.5336 memory: 3270 2022/08/09 11:14:31 - mmengine - INFO - Epoch(val) [34][40/155] eta: 0:00:59 time: 0.5171 data_time: 0.2454 memory: 3270 2022/08/09 11:14:44 - mmengine - INFO - Epoch(val) [34][60/155] eta: 0:01:05 time: 0.6858 data_time: 0.4147 memory: 3270 2022/08/09 11:14:55 - mmengine - INFO - Epoch(val) [34][80/155] eta: 0:00:40 time: 0.5406 data_time: 0.2698 memory: 3270 2022/08/09 11:15:09 - mmengine - INFO - Epoch(val) [34][100/155] eta: 0:00:39 time: 0.7179 data_time: 0.4483 memory: 3270 2022/08/09 11:15:21 - mmengine - INFO - Epoch(val) [34][120/155] eta: 0:00:19 time: 0.5667 data_time: 0.2971 memory: 3270 2022/08/09 11:15:38 - mmengine - INFO - Epoch(val) [34][140/155] eta: 0:00:12 time: 0.8563 data_time: 0.5900 memory: 3270 2022/08/09 11:15:48 - mmengine - INFO - Epoch(val) [34][155/155] acc/top1: 0.7284 acc/top5: 0.9102 acc/mean1: 0.7283 2022/08/09 11:15:49 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_31.pth is removed 2022/08/09 11:15:50 - mmengine - INFO - The best checkpoint with 0.7284 acc/top1 at 35 epoch is saved to best_acc/top1_epoch_35.pth. 2022/08/09 11:16:16 - mmengine - INFO - Epoch(train) [35][20/1879] lr: 2.0000e-03 eta: 8:39:07 time: 1.3098 data_time: 0.2915 memory: 27035 grad_norm: 3.7057 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8985 loss: 0.8985 2022/08/09 11:16:37 - mmengine - INFO - Epoch(train) [35][40/1879] lr: 2.0000e-03 eta: 8:38:46 time: 1.0299 data_time: 0.0208 memory: 27035 grad_norm: 3.6753 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9285 loss: 0.9285 2022/08/09 11:16:57 - mmengine - INFO - Epoch(train) [35][60/1879] lr: 2.0000e-03 eta: 8:38:25 time: 1.0267 data_time: 0.0207 memory: 27035 grad_norm: 3.6964 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7036 loss: 0.7036 2022/08/09 11:17:18 - mmengine - INFO - Epoch(train) [35][80/1879] lr: 2.0000e-03 eta: 8:38:05 time: 1.0652 data_time: 0.0220 memory: 27035 grad_norm: 3.6490 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8508 loss: 0.8508 2022/08/09 11:17:39 - mmengine - INFO - Epoch(train) [35][100/1879] lr: 2.0000e-03 eta: 8:37:44 time: 1.0317 data_time: 0.0216 memory: 27035 grad_norm: 3.6231 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8666 loss: 0.8666 2022/08/09 11:17:54 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 11:18:00 - mmengine - INFO - Epoch(train) [35][120/1879] lr: 2.0000e-03 eta: 8:37:23 time: 1.0339 data_time: 0.0230 memory: 27035 grad_norm: 3.9602 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8775 loss: 0.8775 2022/08/09 11:18:20 - mmengine - INFO - Epoch(train) [35][140/1879] lr: 2.0000e-03 eta: 8:37:02 time: 1.0296 data_time: 0.0220 memory: 27035 grad_norm: 3.8233 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7898 loss: 0.7898 2022/08/09 11:18:41 - mmengine - INFO - Epoch(train) [35][160/1879] lr: 2.0000e-03 eta: 8:36:41 time: 1.0304 data_time: 0.0232 memory: 27035 grad_norm: 3.7879 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9336 loss: 0.9336 2022/08/09 11:19:02 - mmengine - INFO - Epoch(train) [35][180/1879] lr: 2.0000e-03 eta: 8:36:21 time: 1.0321 data_time: 0.0230 memory: 27035 grad_norm: 3.8711 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8083 loss: 0.8083 2022/08/09 11:19:22 - mmengine - INFO - Epoch(train) [35][200/1879] lr: 2.0000e-03 eta: 8:36:00 time: 1.0274 data_time: 0.0234 memory: 27035 grad_norm: 3.8030 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9976 loss: 0.9976 2022/08/09 11:19:43 - mmengine - INFO - Epoch(train) [35][220/1879] lr: 2.0000e-03 eta: 8:35:39 time: 1.0286 data_time: 0.0222 memory: 27035 grad_norm: 3.7026 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8569 loss: 0.8569 2022/08/09 11:20:03 - mmengine - INFO - Epoch(train) [35][240/1879] lr: 2.0000e-03 eta: 8:35:18 time: 1.0268 data_time: 0.0228 memory: 27035 grad_norm: 3.8020 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9965 loss: 0.9965 2022/08/09 11:20:24 - mmengine - INFO - Epoch(train) [35][260/1879] lr: 2.0000e-03 eta: 8:34:57 time: 1.0391 data_time: 0.0315 memory: 27035 grad_norm: 3.7289 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8391 loss: 0.8391 2022/08/09 11:20:45 - mmengine - INFO - Epoch(train) [35][280/1879] lr: 2.0000e-03 eta: 8:34:37 time: 1.0274 data_time: 0.0241 memory: 27035 grad_norm: 3.7633 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8266 loss: 0.8266 2022/08/09 11:21:05 - mmengine - INFO - Epoch(train) [35][300/1879] lr: 2.0000e-03 eta: 8:34:16 time: 1.0324 data_time: 0.0241 memory: 27035 grad_norm: 3.8140 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9501 loss: 0.9501 2022/08/09 11:21:26 - mmengine - INFO - Epoch(train) [35][320/1879] lr: 2.0000e-03 eta: 8:33:55 time: 1.0247 data_time: 0.0245 memory: 27035 grad_norm: 3.7793 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7768 loss: 0.7768 2022/08/09 11:21:47 - mmengine - INFO - Epoch(train) [35][340/1879] lr: 2.0000e-03 eta: 8:33:34 time: 1.0366 data_time: 0.0229 memory: 27035 grad_norm: 3.8342 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8443 loss: 0.8443 2022/08/09 11:22:07 - mmengine - INFO - Epoch(train) [35][360/1879] lr: 2.0000e-03 eta: 8:33:13 time: 1.0273 data_time: 0.0247 memory: 27035 grad_norm: 3.8306 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7039 loss: 0.7039 2022/08/09 11:22:28 - mmengine - INFO - Epoch(train) [35][380/1879] lr: 2.0000e-03 eta: 8:32:53 time: 1.0305 data_time: 0.0237 memory: 27035 grad_norm: 3.7299 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.8823 loss: 0.8823 2022/08/09 11:22:48 - mmengine - INFO - Epoch(train) [35][400/1879] lr: 2.0000e-03 eta: 8:32:32 time: 1.0269 data_time: 0.0237 memory: 27035 grad_norm: 3.8336 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8559 loss: 0.8559 2022/08/09 11:23:09 - mmengine - INFO - Epoch(train) [35][420/1879] lr: 2.0000e-03 eta: 8:32:11 time: 1.0271 data_time: 0.0232 memory: 27035 grad_norm: 3.7865 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8804 loss: 0.8804 2022/08/09 11:23:29 - mmengine - INFO - Epoch(train) [35][440/1879] lr: 2.0000e-03 eta: 8:31:50 time: 1.0249 data_time: 0.0238 memory: 27035 grad_norm: 3.8406 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9567 loss: 0.9567 2022/08/09 11:23:50 - mmengine - INFO - Epoch(train) [35][460/1879] lr: 2.0000e-03 eta: 8:31:29 time: 1.0246 data_time: 0.0222 memory: 27035 grad_norm: 3.6435 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8676 loss: 0.8676 2022/08/09 11:24:10 - mmengine - INFO - Epoch(train) [35][480/1879] lr: 2.0000e-03 eta: 8:31:09 time: 1.0317 data_time: 0.0233 memory: 27035 grad_norm: 3.7521 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9356 loss: 0.9356 2022/08/09 11:24:31 - mmengine - INFO - Epoch(train) [35][500/1879] lr: 2.0000e-03 eta: 8:30:48 time: 1.0262 data_time: 0.0238 memory: 27035 grad_norm: 3.7641 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8407 loss: 0.8407 2022/08/09 11:24:51 - mmengine - INFO - Epoch(train) [35][520/1879] lr: 2.0000e-03 eta: 8:30:27 time: 1.0251 data_time: 0.0232 memory: 27035 grad_norm: 3.8232 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7547 loss: 0.7547 2022/08/09 11:25:12 - mmengine - INFO - Epoch(train) [35][540/1879] lr: 2.0000e-03 eta: 8:30:06 time: 1.0260 data_time: 0.0242 memory: 27035 grad_norm: 3.6578 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7335 loss: 0.7335 2022/08/09 11:25:33 - mmengine - INFO - Epoch(train) [35][560/1879] lr: 2.0000e-03 eta: 8:29:45 time: 1.0283 data_time: 0.0233 memory: 27035 grad_norm: 3.7743 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9685 loss: 0.9685 2022/08/09 11:25:53 - mmengine - INFO - Epoch(train) [35][580/1879] lr: 2.0000e-03 eta: 8:29:24 time: 1.0331 data_time: 0.0314 memory: 27035 grad_norm: 3.6857 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7405 loss: 0.7405 2022/08/09 11:26:14 - mmengine - INFO - Epoch(train) [35][600/1879] lr: 2.0000e-03 eta: 8:29:04 time: 1.0278 data_time: 0.0229 memory: 27035 grad_norm: 3.7699 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8785 loss: 0.8785 2022/08/09 11:26:34 - mmengine - INFO - Epoch(train) [35][620/1879] lr: 2.0000e-03 eta: 8:28:43 time: 1.0256 data_time: 0.0247 memory: 27035 grad_norm: 3.8487 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8475 loss: 0.8475 2022/08/09 11:26:55 - mmengine - INFO - Epoch(train) [35][640/1879] lr: 2.0000e-03 eta: 8:28:22 time: 1.0328 data_time: 0.0251 memory: 27035 grad_norm: 3.8706 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7767 loss: 0.7767 2022/08/09 11:27:16 - mmengine - INFO - Epoch(train) [35][660/1879] lr: 2.0000e-03 eta: 8:28:02 time: 1.0674 data_time: 0.0244 memory: 27035 grad_norm: 3.7897 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9059 loss: 0.9059 2022/08/09 11:27:37 - mmengine - INFO - Epoch(train) [35][680/1879] lr: 2.0000e-03 eta: 8:27:41 time: 1.0319 data_time: 0.0243 memory: 27035 grad_norm: 3.8981 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8882 loss: 0.8882 2022/08/09 11:27:58 - mmengine - INFO - Epoch(train) [35][700/1879] lr: 2.0000e-03 eta: 8:27:20 time: 1.0390 data_time: 0.0319 memory: 27035 grad_norm: 3.7398 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8745 loss: 0.8745 2022/08/09 11:28:18 - mmengine - INFO - Epoch(train) [35][720/1879] lr: 2.0000e-03 eta: 8:26:59 time: 1.0286 data_time: 0.0259 memory: 27035 grad_norm: 3.9480 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8796 loss: 0.8796 2022/08/09 11:28:39 - mmengine - INFO - Epoch(train) [35][740/1879] lr: 2.0000e-03 eta: 8:26:38 time: 1.0275 data_time: 0.0243 memory: 27035 grad_norm: 3.7962 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7676 loss: 0.7676 2022/08/09 11:28:59 - mmengine - INFO - Epoch(train) [35][760/1879] lr: 2.0000e-03 eta: 8:26:18 time: 1.0270 data_time: 0.0239 memory: 27035 grad_norm: 3.8451 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9666 loss: 0.9666 2022/08/09 11:29:20 - mmengine - INFO - Epoch(train) [35][780/1879] lr: 2.0000e-03 eta: 8:25:57 time: 1.0288 data_time: 0.0235 memory: 27035 grad_norm: 3.8674 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7937 loss: 0.7937 2022/08/09 11:29:41 - mmengine - INFO - Epoch(train) [35][800/1879] lr: 2.0000e-03 eta: 8:25:36 time: 1.0275 data_time: 0.0244 memory: 27035 grad_norm: 3.8466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9115 loss: 0.9115 2022/08/09 11:30:01 - mmengine - INFO - Epoch(train) [35][820/1879] lr: 2.0000e-03 eta: 8:25:15 time: 1.0323 data_time: 0.0235 memory: 27035 grad_norm: 3.8218 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8419 loss: 0.8419 2022/08/09 11:30:22 - mmengine - INFO - Epoch(train) [35][840/1879] lr: 2.0000e-03 eta: 8:24:55 time: 1.0339 data_time: 0.0250 memory: 27035 grad_norm: 3.8065 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8518 loss: 0.8518 2022/08/09 11:30:42 - mmengine - INFO - Epoch(train) [35][860/1879] lr: 2.0000e-03 eta: 8:24:34 time: 1.0268 data_time: 0.0238 memory: 27035 grad_norm: 3.8128 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.8922 loss: 0.8922 2022/08/09 11:31:03 - mmengine - INFO - Epoch(train) [35][880/1879] lr: 2.0000e-03 eta: 8:24:13 time: 1.0355 data_time: 0.0241 memory: 27035 grad_norm: 3.8455 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8602 loss: 0.8602 2022/08/09 11:31:24 - mmengine - INFO - Epoch(train) [35][900/1879] lr: 2.0000e-03 eta: 8:23:52 time: 1.0336 data_time: 0.0255 memory: 27035 grad_norm: 3.8191 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8494 loss: 0.8494 2022/08/09 11:31:44 - mmengine - INFO - Epoch(train) [35][920/1879] lr: 2.0000e-03 eta: 8:23:31 time: 1.0288 data_time: 0.0251 memory: 27035 grad_norm: 3.7489 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8391 loss: 0.8391 2022/08/09 11:32:05 - mmengine - INFO - Epoch(train) [35][940/1879] lr: 2.0000e-03 eta: 8:23:11 time: 1.0372 data_time: 0.0308 memory: 27035 grad_norm: 3.6797 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7312 loss: 0.7312 2022/08/09 11:32:26 - mmengine - INFO - Epoch(train) [35][960/1879] lr: 2.0000e-03 eta: 8:22:50 time: 1.0284 data_time: 0.0240 memory: 27035 grad_norm: 3.8323 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7750 loss: 0.7750 2022/08/09 11:32:46 - mmengine - INFO - Epoch(train) [35][980/1879] lr: 2.0000e-03 eta: 8:22:29 time: 1.0330 data_time: 0.0238 memory: 27035 grad_norm: 3.8966 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8969 loss: 0.8969 2022/08/09 11:33:07 - mmengine - INFO - Epoch(train) [35][1000/1879] lr: 2.0000e-03 eta: 8:22:08 time: 1.0309 data_time: 0.0233 memory: 27035 grad_norm: 3.7740 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8631 loss: 0.8631 2022/08/09 11:33:28 - mmengine - INFO - Epoch(train) [35][1020/1879] lr: 2.0000e-03 eta: 8:21:48 time: 1.0300 data_time: 0.0250 memory: 27035 grad_norm: 3.8487 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8479 loss: 0.8479 2022/08/09 11:33:48 - mmengine - INFO - Epoch(train) [35][1040/1879] lr: 2.0000e-03 eta: 8:21:27 time: 1.0311 data_time: 0.0239 memory: 27035 grad_norm: 3.9371 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9828 loss: 0.9828 2022/08/09 11:34:09 - mmengine - INFO - Epoch(train) [35][1060/1879] lr: 2.0000e-03 eta: 8:21:06 time: 1.0265 data_time: 0.0237 memory: 27035 grad_norm: 3.7191 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7218 loss: 0.7218 2022/08/09 11:34:29 - mmengine - INFO - Epoch(train) [35][1080/1879] lr: 2.0000e-03 eta: 8:20:45 time: 1.0303 data_time: 0.0233 memory: 27035 grad_norm: 3.7780 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8763 loss: 0.8763 2022/08/09 11:34:50 - mmengine - INFO - Epoch(train) [35][1100/1879] lr: 2.0000e-03 eta: 8:20:24 time: 1.0302 data_time: 0.0244 memory: 27035 grad_norm: 3.6711 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8289 loss: 0.8289 2022/08/09 11:35:05 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 11:35:11 - mmengine - INFO - Epoch(train) [35][1120/1879] lr: 2.0000e-03 eta: 8:20:04 time: 1.0577 data_time: 0.0513 memory: 27035 grad_norm: 3.8858 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0556 loss: 1.0556 2022/08/09 11:35:32 - mmengine - INFO - Epoch(train) [35][1140/1879] lr: 2.0000e-03 eta: 8:19:43 time: 1.0268 data_time: 0.0233 memory: 27035 grad_norm: 3.9425 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8685 loss: 0.8685 2022/08/09 11:35:52 - mmengine - INFO - Epoch(train) [35][1160/1879] lr: 2.0000e-03 eta: 8:19:22 time: 1.0327 data_time: 0.0255 memory: 27035 grad_norm: 3.7694 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7720 loss: 0.7720 2022/08/09 11:36:13 - mmengine - INFO - Epoch(train) [35][1180/1879] lr: 2.0000e-03 eta: 8:19:01 time: 1.0274 data_time: 0.0240 memory: 27035 grad_norm: 3.7755 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8608 loss: 0.8608 2022/08/09 11:36:34 - mmengine - INFO - Epoch(train) [35][1200/1879] lr: 2.0000e-03 eta: 8:18:41 time: 1.0311 data_time: 0.0252 memory: 27035 grad_norm: 3.8825 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7917 loss: 0.7917 2022/08/09 11:36:54 - mmengine - INFO - Epoch(train) [35][1220/1879] lr: 2.0000e-03 eta: 8:18:20 time: 1.0272 data_time: 0.0250 memory: 27035 grad_norm: 3.7657 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7143 loss: 0.7143 2022/08/09 11:37:15 - mmengine - INFO - Epoch(train) [35][1240/1879] lr: 2.0000e-03 eta: 8:17:59 time: 1.0571 data_time: 0.0252 memory: 27035 grad_norm: 3.7301 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8820 loss: 0.8820 2022/08/09 11:37:36 - mmengine - INFO - Epoch(train) [35][1260/1879] lr: 2.0000e-03 eta: 8:17:38 time: 1.0290 data_time: 0.0255 memory: 27035 grad_norm: 3.8379 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7595 loss: 0.7595 2022/08/09 11:37:57 - mmengine - INFO - Epoch(train) [35][1280/1879] lr: 2.0000e-03 eta: 8:17:18 time: 1.0321 data_time: 0.0264 memory: 27035 grad_norm: 3.8664 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9360 loss: 0.9360 2022/08/09 11:38:17 - mmengine - INFO - Epoch(train) [35][1300/1879] lr: 2.0000e-03 eta: 8:16:57 time: 1.0288 data_time: 0.0240 memory: 27035 grad_norm: 3.6042 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7460 loss: 0.7460 2022/08/09 11:38:38 - mmengine - INFO - Epoch(train) [35][1320/1879] lr: 2.0000e-03 eta: 8:16:36 time: 1.0322 data_time: 0.0240 memory: 27035 grad_norm: 3.7279 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7577 loss: 0.7577 2022/08/09 11:38:58 - mmengine - INFO - Epoch(train) [35][1340/1879] lr: 2.0000e-03 eta: 8:16:15 time: 1.0290 data_time: 0.0261 memory: 27035 grad_norm: 3.8235 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7806 loss: 0.7806 2022/08/09 11:39:19 - mmengine - INFO - Epoch(train) [35][1360/1879] lr: 2.0000e-03 eta: 8:15:55 time: 1.0390 data_time: 0.0311 memory: 27035 grad_norm: 3.7783 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8885 loss: 0.8885 2022/08/09 11:39:40 - mmengine - INFO - Epoch(train) [35][1380/1879] lr: 2.0000e-03 eta: 8:15:34 time: 1.0316 data_time: 0.0244 memory: 27035 grad_norm: 3.9787 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9011 loss: 0.9011 2022/08/09 11:40:00 - mmengine - INFO - Epoch(train) [35][1400/1879] lr: 2.0000e-03 eta: 8:15:13 time: 1.0287 data_time: 0.0257 memory: 27035 grad_norm: 3.8463 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8186 loss: 0.8186 2022/08/09 11:40:21 - mmengine - INFO - Epoch(train) [35][1420/1879] lr: 2.0000e-03 eta: 8:14:52 time: 1.0346 data_time: 0.0256 memory: 27035 grad_norm: 3.9527 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8267 loss: 0.8267 2022/08/09 11:40:42 - mmengine - INFO - Epoch(train) [35][1440/1879] lr: 2.0000e-03 eta: 8:14:31 time: 1.0280 data_time: 0.0240 memory: 27035 grad_norm: 3.7014 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7347 loss: 0.7347 2022/08/09 11:41:02 - mmengine - INFO - Epoch(train) [35][1460/1879] lr: 2.0000e-03 eta: 8:14:11 time: 1.0309 data_time: 0.0236 memory: 27035 grad_norm: 3.9175 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8280 loss: 0.8280 2022/08/09 11:41:23 - mmengine - INFO - Epoch(train) [35][1480/1879] lr: 2.0000e-03 eta: 8:13:50 time: 1.0288 data_time: 0.0224 memory: 27035 grad_norm: 3.8219 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6604 loss: 0.6604 2022/08/09 11:41:43 - mmengine - INFO - Epoch(train) [35][1500/1879] lr: 2.0000e-03 eta: 8:13:29 time: 1.0270 data_time: 0.0227 memory: 27035 grad_norm: 3.7408 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7691 loss: 0.7691 2022/08/09 11:42:04 - mmengine - INFO - Epoch(train) [35][1520/1879] lr: 2.0000e-03 eta: 8:13:08 time: 1.0299 data_time: 0.0251 memory: 27035 grad_norm: 3.7134 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8245 loss: 0.8245 2022/08/09 11:42:25 - mmengine - INFO - Epoch(train) [35][1540/1879] lr: 2.0000e-03 eta: 8:12:47 time: 1.0280 data_time: 0.0248 memory: 27035 grad_norm: 3.8229 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8382 loss: 0.8382 2022/08/09 11:42:45 - mmengine - INFO - Epoch(train) [35][1560/1879] lr: 2.0000e-03 eta: 8:12:27 time: 1.0324 data_time: 0.0246 memory: 27035 grad_norm: 3.7484 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9008 loss: 0.9008 2022/08/09 11:43:06 - mmengine - INFO - Epoch(train) [35][1580/1879] lr: 2.0000e-03 eta: 8:12:06 time: 1.0273 data_time: 0.0247 memory: 27035 grad_norm: 3.7837 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8414 loss: 0.8414 2022/08/09 11:43:26 - mmengine - INFO - Epoch(train) [35][1600/1879] lr: 2.0000e-03 eta: 8:11:45 time: 1.0308 data_time: 0.0250 memory: 27035 grad_norm: 3.9366 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8420 loss: 0.8420 2022/08/09 11:43:47 - mmengine - INFO - Epoch(train) [35][1620/1879] lr: 2.0000e-03 eta: 8:11:24 time: 1.0314 data_time: 0.0245 memory: 27035 grad_norm: 3.7912 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7289 loss: 0.7289 2022/08/09 11:44:08 - mmengine - INFO - Epoch(train) [35][1640/1879] lr: 2.0000e-03 eta: 8:11:04 time: 1.0337 data_time: 0.0243 memory: 27035 grad_norm: 3.8939 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7579 loss: 0.7579 2022/08/09 11:44:28 - mmengine - INFO - Epoch(train) [35][1660/1879] lr: 2.0000e-03 eta: 8:10:43 time: 1.0304 data_time: 0.0249 memory: 27035 grad_norm: 4.0021 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7491 loss: 0.7491 2022/08/09 11:44:49 - mmengine - INFO - Epoch(train) [35][1680/1879] lr: 2.0000e-03 eta: 8:10:22 time: 1.0282 data_time: 0.0240 memory: 27035 grad_norm: 3.8008 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7885 loss: 0.7885 2022/08/09 11:45:10 - mmengine - INFO - Epoch(train) [35][1700/1879] lr: 2.0000e-03 eta: 8:10:01 time: 1.0311 data_time: 0.0248 memory: 27035 grad_norm: 3.8642 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9494 loss: 0.9494 2022/08/09 11:45:30 - mmengine - INFO - Epoch(train) [35][1720/1879] lr: 2.0000e-03 eta: 8:09:40 time: 1.0323 data_time: 0.0244 memory: 27035 grad_norm: 3.7541 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8671 loss: 0.8671 2022/08/09 11:45:51 - mmengine - INFO - Epoch(train) [35][1740/1879] lr: 2.0000e-03 eta: 8:09:20 time: 1.0288 data_time: 0.0241 memory: 27035 grad_norm: 3.8764 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9411 loss: 0.9411 2022/08/09 11:46:11 - mmengine - INFO - Epoch(train) [35][1760/1879] lr: 2.0000e-03 eta: 8:08:59 time: 1.0317 data_time: 0.0249 memory: 27035 grad_norm: 3.9087 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9882 loss: 0.9882 2022/08/09 11:46:32 - mmengine - INFO - Epoch(train) [35][1780/1879] lr: 2.0000e-03 eta: 8:08:38 time: 1.0277 data_time: 0.0244 memory: 27035 grad_norm: 3.9167 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8169 loss: 0.8169 2022/08/09 11:46:53 - mmengine - INFO - Epoch(train) [35][1800/1879] lr: 2.0000e-03 eta: 8:08:17 time: 1.0290 data_time: 0.0240 memory: 27035 grad_norm: 3.9019 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8684 loss: 0.8684 2022/08/09 11:47:14 - mmengine - INFO - Epoch(train) [35][1820/1879] lr: 2.0000e-03 eta: 8:07:57 time: 1.0583 data_time: 0.0357 memory: 27035 grad_norm: 3.8697 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8129 loss: 0.8129 2022/08/09 11:47:35 - mmengine - INFO - Epoch(train) [35][1840/1879] lr: 2.0000e-03 eta: 8:07:36 time: 1.0400 data_time: 0.0313 memory: 27035 grad_norm: 3.7942 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8904 loss: 0.8904 2022/08/09 11:47:55 - mmengine - INFO - Epoch(train) [35][1860/1879] lr: 2.0000e-03 eta: 8:07:15 time: 1.0284 data_time: 0.0236 memory: 27035 grad_norm: 3.8361 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9573 loss: 0.9573 2022/08/09 11:48:15 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 11:48:15 - mmengine - INFO - Epoch(train) [35][1879/1879] lr: 2.0000e-03 eta: 8:07:15 time: 1.0270 data_time: 0.0238 memory: 27035 grad_norm: 3.9081 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7713 loss: 0.7713 2022/08/09 11:48:30 - mmengine - INFO - Epoch(val) [35][20/155] eta: 0:01:44 time: 0.7777 data_time: 0.5062 memory: 3270 2022/08/09 11:48:41 - mmengine - INFO - Epoch(val) [35][40/155] eta: 0:00:58 time: 0.5110 data_time: 0.2418 memory: 3270 2022/08/09 11:48:53 - mmengine - INFO - Epoch(val) [35][60/155] eta: 0:00:59 time: 0.6313 data_time: 0.3620 memory: 3270 2022/08/09 11:49:04 - mmengine - INFO - Epoch(val) [35][80/155] eta: 0:00:39 time: 0.5302 data_time: 0.2616 memory: 3270 2022/08/09 11:49:17 - mmengine - INFO - Epoch(val) [35][100/155] eta: 0:00:36 time: 0.6713 data_time: 0.4040 memory: 3270 2022/08/09 11:49:30 - mmengine - INFO - Epoch(val) [35][120/155] eta: 0:00:22 time: 0.6425 data_time: 0.3748 memory: 3270 2022/08/09 11:49:43 - mmengine - INFO - Epoch(val) [35][140/155] eta: 0:00:09 time: 0.6519 data_time: 0.3832 memory: 3270 2022/08/09 11:49:53 - mmengine - INFO - Epoch(val) [35][155/155] acc/top1: 0.7277 acc/top5: 0.9095 acc/mean1: 0.7277 2022/08/09 11:50:19 - mmengine - INFO - Epoch(train) [36][20/1879] lr: 2.0000e-03 eta: 8:06:29 time: 1.3175 data_time: 0.2596 memory: 27035 grad_norm: 3.6446 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8645 loss: 0.8645 2022/08/09 11:50:40 - mmengine - INFO - Epoch(train) [36][40/1879] lr: 2.0000e-03 eta: 8:06:08 time: 1.0349 data_time: 0.0316 memory: 27035 grad_norm: 3.8287 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7368 loss: 0.7368 2022/08/09 11:51:01 - mmengine - INFO - Epoch(train) [36][60/1879] lr: 2.0000e-03 eta: 8:05:47 time: 1.0269 data_time: 0.0237 memory: 27035 grad_norm: 3.9092 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9833 loss: 0.9833 2022/08/09 11:51:21 - mmengine - INFO - Epoch(train) [36][80/1879] lr: 2.0000e-03 eta: 8:05:26 time: 1.0355 data_time: 0.0268 memory: 27035 grad_norm: 3.6727 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7708 loss: 0.7708 2022/08/09 11:51:42 - mmengine - INFO - Epoch(train) [36][100/1879] lr: 2.0000e-03 eta: 8:05:06 time: 1.0321 data_time: 0.0251 memory: 27035 grad_norm: 3.8482 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8467 loss: 0.8467 2022/08/09 11:52:03 - mmengine - INFO - Epoch(train) [36][120/1879] lr: 2.0000e-03 eta: 8:04:45 time: 1.0285 data_time: 0.0237 memory: 27035 grad_norm: 3.8060 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6754 loss: 0.6754 2022/08/09 11:52:23 - mmengine - INFO - Epoch(train) [36][140/1879] lr: 2.0000e-03 eta: 8:04:24 time: 1.0313 data_time: 0.0247 memory: 27035 grad_norm: 3.7956 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8004 loss: 0.8004 2022/08/09 11:52:44 - mmengine - INFO - Epoch(train) [36][160/1879] lr: 2.0000e-03 eta: 8:04:03 time: 1.0284 data_time: 0.0239 memory: 27035 grad_norm: 3.6667 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6806 loss: 0.6806 2022/08/09 11:53:04 - mmengine - INFO - Epoch(train) [36][180/1879] lr: 2.0000e-03 eta: 8:03:43 time: 1.0323 data_time: 0.0230 memory: 27035 grad_norm: 3.9270 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7624 loss: 0.7624 2022/08/09 11:53:25 - mmengine - INFO - Epoch(train) [36][200/1879] lr: 2.0000e-03 eta: 8:03:22 time: 1.0304 data_time: 0.0250 memory: 27035 grad_norm: 3.8898 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7990 loss: 0.7990 2022/08/09 11:53:46 - mmengine - INFO - Epoch(train) [36][220/1879] lr: 2.0000e-03 eta: 8:03:01 time: 1.0286 data_time: 0.0238 memory: 27035 grad_norm: 3.7982 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7681 loss: 0.7681 2022/08/09 11:54:01 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 11:54:06 - mmengine - INFO - Epoch(train) [36][240/1879] lr: 2.0000e-03 eta: 8:02:40 time: 1.0305 data_time: 0.0239 memory: 27035 grad_norm: 3.6691 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7928 loss: 0.7928 2022/08/09 11:54:27 - mmengine - INFO - Epoch(train) [36][260/1879] lr: 2.0000e-03 eta: 8:02:19 time: 1.0268 data_time: 0.0246 memory: 27035 grad_norm: 3.7702 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8902 loss: 0.8902 2022/08/09 11:54:47 - mmengine - INFO - Epoch(train) [36][280/1879] lr: 2.0000e-03 eta: 8:01:59 time: 1.0290 data_time: 0.0243 memory: 27035 grad_norm: 3.8551 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7406 loss: 0.7406 2022/08/09 11:55:08 - mmengine - INFO - Epoch(train) [36][300/1879] lr: 2.0000e-03 eta: 8:01:38 time: 1.0264 data_time: 0.0250 memory: 27035 grad_norm: 3.7114 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8192 loss: 0.8192 2022/08/09 11:55:29 - mmengine - INFO - Epoch(train) [36][320/1879] lr: 2.0000e-03 eta: 8:01:17 time: 1.0584 data_time: 0.0479 memory: 27035 grad_norm: 3.8467 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6660 loss: 0.6660 2022/08/09 11:55:50 - mmengine - INFO - Epoch(train) [36][340/1879] lr: 2.0000e-03 eta: 8:00:56 time: 1.0284 data_time: 0.0233 memory: 27035 grad_norm: 3.8926 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9799 loss: 0.9799 2022/08/09 11:56:10 - mmengine - INFO - Epoch(train) [36][360/1879] lr: 2.0000e-03 eta: 8:00:36 time: 1.0277 data_time: 0.0248 memory: 27035 grad_norm: 3.7671 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7589 loss: 0.7589 2022/08/09 11:56:31 - mmengine - INFO - Epoch(train) [36][380/1879] lr: 2.0000e-03 eta: 8:00:15 time: 1.0321 data_time: 0.0237 memory: 27035 grad_norm: 3.7086 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7230 loss: 0.7230 2022/08/09 11:56:52 - mmengine - INFO - Epoch(train) [36][400/1879] lr: 2.0000e-03 eta: 7:59:54 time: 1.0371 data_time: 0.0317 memory: 27035 grad_norm: 3.6312 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7169 loss: 0.7169 2022/08/09 11:57:12 - mmengine - INFO - Epoch(train) [36][420/1879] lr: 2.0000e-03 eta: 7:59:33 time: 1.0263 data_time: 0.0247 memory: 27035 grad_norm: 3.8197 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8810 loss: 0.8810 2022/08/09 11:57:33 - mmengine - INFO - Epoch(train) [36][440/1879] lr: 2.0000e-03 eta: 7:59:13 time: 1.0343 data_time: 0.0289 memory: 27035 grad_norm: 3.8886 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9183 loss: 0.9183 2022/08/09 11:57:54 - mmengine - INFO - Epoch(train) [36][460/1879] lr: 2.0000e-03 eta: 7:58:52 time: 1.0318 data_time: 0.0243 memory: 27035 grad_norm: 3.8056 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8245 loss: 0.8245 2022/08/09 11:58:14 - mmengine - INFO - Epoch(train) [36][480/1879] lr: 2.0000e-03 eta: 7:58:31 time: 1.0292 data_time: 0.0234 memory: 27035 grad_norm: 3.7775 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8879 loss: 0.8879 2022/08/09 11:58:35 - mmengine - INFO - Epoch(train) [36][500/1879] lr: 2.0000e-03 eta: 7:58:10 time: 1.0299 data_time: 0.0238 memory: 27035 grad_norm: 3.8868 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7914 loss: 0.7914 2022/08/09 11:58:55 - mmengine - INFO - Epoch(train) [36][520/1879] lr: 2.0000e-03 eta: 7:57:49 time: 1.0270 data_time: 0.0247 memory: 27035 grad_norm: 3.8223 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8523 loss: 0.8523 2022/08/09 11:59:16 - mmengine - INFO - Epoch(train) [36][540/1879] lr: 2.0000e-03 eta: 7:57:29 time: 1.0344 data_time: 0.0244 memory: 27035 grad_norm: 3.7543 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9474 loss: 0.9474 2022/08/09 11:59:37 - mmengine - INFO - Epoch(train) [36][560/1879] lr: 2.0000e-03 eta: 7:57:08 time: 1.0319 data_time: 0.0255 memory: 27035 grad_norm: 3.7919 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7380 loss: 0.7380 2022/08/09 11:59:57 - mmengine - INFO - Epoch(train) [36][580/1879] lr: 2.0000e-03 eta: 7:56:47 time: 1.0292 data_time: 0.0257 memory: 27035 grad_norm: 3.7610 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8009 loss: 0.8009 2022/08/09 12:00:19 - mmengine - INFO - Epoch(train) [36][600/1879] lr: 2.0000e-03 eta: 7:56:27 time: 1.0753 data_time: 0.0302 memory: 27035 grad_norm: 3.8393 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7704 loss: 0.7704 2022/08/09 12:00:39 - mmengine - INFO - Epoch(train) [36][620/1879] lr: 2.0000e-03 eta: 7:56:06 time: 1.0279 data_time: 0.0235 memory: 27035 grad_norm: 3.8107 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7958 loss: 0.7958 2022/08/09 12:01:00 - mmengine - INFO - Epoch(train) [36][640/1879] lr: 2.0000e-03 eta: 7:55:45 time: 1.0271 data_time: 0.0244 memory: 27035 grad_norm: 3.7310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7862 loss: 0.7862 2022/08/09 12:01:20 - mmengine - INFO - Epoch(train) [36][660/1879] lr: 2.0000e-03 eta: 7:55:24 time: 1.0279 data_time: 0.0240 memory: 27035 grad_norm: 3.8617 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9025 loss: 0.9025 2022/08/09 12:01:41 - mmengine - INFO - Epoch(train) [36][680/1879] lr: 2.0000e-03 eta: 7:55:04 time: 1.0327 data_time: 0.0250 memory: 27035 grad_norm: 3.8643 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8752 loss: 0.8752 2022/08/09 12:02:02 - mmengine - INFO - Epoch(train) [36][700/1879] lr: 2.0000e-03 eta: 7:54:43 time: 1.0272 data_time: 0.0246 memory: 27035 grad_norm: 3.8534 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8210 loss: 0.8210 2022/08/09 12:02:22 - mmengine - INFO - Epoch(train) [36][720/1879] lr: 2.0000e-03 eta: 7:54:22 time: 1.0363 data_time: 0.0237 memory: 27035 grad_norm: 3.8100 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6961 loss: 0.6961 2022/08/09 12:02:43 - mmengine - INFO - Epoch(train) [36][740/1879] lr: 2.0000e-03 eta: 7:54:01 time: 1.0298 data_time: 0.0247 memory: 27035 grad_norm: 3.8853 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8260 loss: 0.8260 2022/08/09 12:03:04 - mmengine - INFO - Epoch(train) [36][760/1879] lr: 2.0000e-03 eta: 7:53:41 time: 1.0292 data_time: 0.0237 memory: 27035 grad_norm: 3.7095 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8034 loss: 0.8034 2022/08/09 12:03:24 - mmengine - INFO - Epoch(train) [36][780/1879] lr: 2.0000e-03 eta: 7:53:20 time: 1.0337 data_time: 0.0247 memory: 27035 grad_norm: 3.7742 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7962 loss: 0.7962 2022/08/09 12:03:45 - mmengine - INFO - Epoch(train) [36][800/1879] lr: 2.0000e-03 eta: 7:52:59 time: 1.0307 data_time: 0.0243 memory: 27035 grad_norm: 3.9027 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8254 loss: 0.8254 2022/08/09 12:04:05 - mmengine - INFO - Epoch(train) [36][820/1879] lr: 2.0000e-03 eta: 7:52:38 time: 1.0307 data_time: 0.0240 memory: 27035 grad_norm: 3.8208 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7822 loss: 0.7822 2022/08/09 12:04:26 - mmengine - INFO - Epoch(train) [36][840/1879] lr: 2.0000e-03 eta: 7:52:18 time: 1.0369 data_time: 0.0254 memory: 27035 grad_norm: 3.8475 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8200 loss: 0.8200 2022/08/09 12:04:47 - mmengine - INFO - Epoch(train) [36][860/1879] lr: 2.0000e-03 eta: 7:51:57 time: 1.0297 data_time: 0.0231 memory: 27035 grad_norm: 3.9187 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8037 loss: 0.8037 2022/08/09 12:05:07 - mmengine - INFO - Epoch(train) [36][880/1879] lr: 2.0000e-03 eta: 7:51:36 time: 1.0289 data_time: 0.0257 memory: 27035 grad_norm: 3.9109 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0861 loss: 1.0861 2022/08/09 12:05:29 - mmengine - INFO - Epoch(train) [36][900/1879] lr: 2.0000e-03 eta: 7:51:16 time: 1.0746 data_time: 0.0653 memory: 27035 grad_norm: 3.8810 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7834 loss: 0.7834 2022/08/09 12:05:50 - mmengine - INFO - Epoch(train) [36][920/1879] lr: 2.0000e-03 eta: 7:50:55 time: 1.0379 data_time: 0.0326 memory: 27035 grad_norm: 3.7915 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6749 loss: 0.6749 2022/08/09 12:06:10 - mmengine - INFO - Epoch(train) [36][940/1879] lr: 2.0000e-03 eta: 7:50:34 time: 1.0302 data_time: 0.0237 memory: 27035 grad_norm: 3.7748 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8999 loss: 0.8999 2022/08/09 12:06:31 - mmengine - INFO - Epoch(train) [36][960/1879] lr: 2.0000e-03 eta: 7:50:13 time: 1.0353 data_time: 0.0254 memory: 27035 grad_norm: 3.7978 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8218 loss: 0.8218 2022/08/09 12:06:52 - mmengine - INFO - Epoch(train) [36][980/1879] lr: 2.0000e-03 eta: 7:49:53 time: 1.0359 data_time: 0.0300 memory: 27035 grad_norm: 3.9114 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9345 loss: 0.9345 2022/08/09 12:07:13 - mmengine - INFO - Epoch(train) [36][1000/1879] lr: 2.0000e-03 eta: 7:49:32 time: 1.0631 data_time: 0.0258 memory: 27035 grad_norm: 3.8219 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7863 loss: 0.7863 2022/08/09 12:07:34 - mmengine - INFO - Epoch(train) [36][1020/1879] lr: 2.0000e-03 eta: 7:49:11 time: 1.0316 data_time: 0.0225 memory: 27035 grad_norm: 3.6970 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7889 loss: 0.7889 2022/08/09 12:07:54 - mmengine - INFO - Epoch(train) [36][1040/1879] lr: 2.0000e-03 eta: 7:48:51 time: 1.0412 data_time: 0.0316 memory: 27035 grad_norm: 3.9058 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7381 loss: 0.7381 2022/08/09 12:08:15 - mmengine - INFO - Epoch(train) [36][1060/1879] lr: 2.0000e-03 eta: 7:48:30 time: 1.0291 data_time: 0.0240 memory: 27035 grad_norm: 3.8417 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0006 loss: 1.0006 2022/08/09 12:08:36 - mmengine - INFO - Epoch(train) [36][1080/1879] lr: 2.0000e-03 eta: 7:48:09 time: 1.0385 data_time: 0.0253 memory: 27035 grad_norm: 3.9512 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9402 loss: 0.9402 2022/08/09 12:08:56 - mmengine - INFO - Epoch(train) [36][1100/1879] lr: 2.0000e-03 eta: 7:47:48 time: 1.0298 data_time: 0.0237 memory: 27035 grad_norm: 3.8598 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8705 loss: 0.8705 2022/08/09 12:09:17 - mmengine - INFO - Epoch(train) [36][1120/1879] lr: 2.0000e-03 eta: 7:47:28 time: 1.0300 data_time: 0.0245 memory: 27035 grad_norm: 3.7446 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8022 loss: 0.8022 2022/08/09 12:09:38 - mmengine - INFO - Epoch(train) [36][1140/1879] lr: 2.0000e-03 eta: 7:47:07 time: 1.0312 data_time: 0.0236 memory: 27035 grad_norm: 3.8357 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8201 loss: 0.8201 2022/08/09 12:09:58 - mmengine - INFO - Epoch(train) [36][1160/1879] lr: 2.0000e-03 eta: 7:46:46 time: 1.0281 data_time: 0.0248 memory: 27035 grad_norm: 3.9260 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9055 loss: 0.9055 2022/08/09 12:10:19 - mmengine - INFO - Epoch(train) [36][1180/1879] lr: 2.0000e-03 eta: 7:46:25 time: 1.0369 data_time: 0.0271 memory: 27035 grad_norm: 3.8022 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8185 loss: 0.8185 2022/08/09 12:10:40 - mmengine - INFO - Epoch(train) [36][1200/1879] lr: 2.0000e-03 eta: 7:46:05 time: 1.0305 data_time: 0.0241 memory: 27035 grad_norm: 3.9244 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7751 loss: 0.7751 2022/08/09 12:11:00 - mmengine - INFO - Epoch(train) [36][1220/1879] lr: 2.0000e-03 eta: 7:45:44 time: 1.0286 data_time: 0.0241 memory: 27035 grad_norm: 3.8750 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7511 loss: 0.7511 2022/08/09 12:11:16 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 12:11:21 - mmengine - INFO - Epoch(train) [36][1240/1879] lr: 2.0000e-03 eta: 7:45:23 time: 1.0338 data_time: 0.0251 memory: 27035 grad_norm: 3.7824 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8771 loss: 0.8771 2022/08/09 12:11:41 - mmengine - INFO - Epoch(train) [36][1260/1879] lr: 2.0000e-03 eta: 7:45:02 time: 1.0290 data_time: 0.0256 memory: 27035 grad_norm: 3.8306 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8564 loss: 0.8564 2022/08/09 12:12:02 - mmengine - INFO - Epoch(train) [36][1280/1879] lr: 2.0000e-03 eta: 7:44:41 time: 1.0295 data_time: 0.0253 memory: 27035 grad_norm: 3.9001 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8763 loss: 0.8763 2022/08/09 12:12:23 - mmengine - INFO - Epoch(train) [36][1300/1879] lr: 2.0000e-03 eta: 7:44:21 time: 1.0267 data_time: 0.0242 memory: 27035 grad_norm: 3.7860 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7146 loss: 0.7146 2022/08/09 12:12:43 - mmengine - INFO - Epoch(train) [36][1320/1879] lr: 2.0000e-03 eta: 7:44:00 time: 1.0290 data_time: 0.0241 memory: 27035 grad_norm: 3.8771 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7402 loss: 0.7402 2022/08/09 12:13:04 - mmengine - INFO - Epoch(train) [36][1340/1879] lr: 2.0000e-03 eta: 7:43:39 time: 1.0278 data_time: 0.0228 memory: 27035 grad_norm: 3.8942 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9483 loss: 0.9483 2022/08/09 12:13:24 - mmengine - INFO - Epoch(train) [36][1360/1879] lr: 2.0000e-03 eta: 7:43:18 time: 1.0307 data_time: 0.0248 memory: 27035 grad_norm: 3.8553 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7533 loss: 0.7533 2022/08/09 12:13:45 - mmengine - INFO - Epoch(train) [36][1380/1879] lr: 2.0000e-03 eta: 7:42:58 time: 1.0403 data_time: 0.0314 memory: 27035 grad_norm: 3.8130 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8247 loss: 0.8247 2022/08/09 12:14:06 - mmengine - INFO - Epoch(train) [36][1400/1879] lr: 2.0000e-03 eta: 7:42:37 time: 1.0281 data_time: 0.0248 memory: 27035 grad_norm: 3.7917 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7936 loss: 0.7936 2022/08/09 12:14:27 - mmengine - INFO - Epoch(train) [36][1420/1879] lr: 2.0000e-03 eta: 7:42:16 time: 1.0393 data_time: 0.0272 memory: 27035 grad_norm: 3.8054 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7923 loss: 0.7923 2022/08/09 12:14:47 - mmengine - INFO - Epoch(train) [36][1440/1879] lr: 2.0000e-03 eta: 7:41:55 time: 1.0324 data_time: 0.0253 memory: 27035 grad_norm: 3.7838 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9711 loss: 0.9711 2022/08/09 12:15:08 - mmengine - INFO - Epoch(train) [36][1460/1879] lr: 2.0000e-03 eta: 7:41:35 time: 1.0295 data_time: 0.0240 memory: 27035 grad_norm: 3.7657 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7192 loss: 0.7192 2022/08/09 12:15:29 - mmengine - INFO - Epoch(train) [36][1480/1879] lr: 2.0000e-03 eta: 7:41:14 time: 1.0519 data_time: 0.0449 memory: 27035 grad_norm: 3.8744 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8596 loss: 0.8596 2022/08/09 12:15:49 - mmengine - INFO - Epoch(train) [36][1500/1879] lr: 2.0000e-03 eta: 7:40:53 time: 1.0315 data_time: 0.0245 memory: 27035 grad_norm: 3.8064 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7369 loss: 0.7369 2022/08/09 12:16:10 - mmengine - INFO - Epoch(train) [36][1520/1879] lr: 2.0000e-03 eta: 7:40:32 time: 1.0312 data_time: 0.0250 memory: 27035 grad_norm: 3.8277 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8536 loss: 0.8536 2022/08/09 12:16:31 - mmengine - INFO - Epoch(train) [36][1540/1879] lr: 2.0000e-03 eta: 7:40:12 time: 1.0313 data_time: 0.0246 memory: 27035 grad_norm: 3.8945 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8110 loss: 0.8110 2022/08/09 12:16:51 - mmengine - INFO - Epoch(train) [36][1560/1879] lr: 2.0000e-03 eta: 7:39:51 time: 1.0291 data_time: 0.0250 memory: 27035 grad_norm: 3.9062 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9623 loss: 0.9623 2022/08/09 12:17:12 - mmengine - INFO - Epoch(train) [36][1580/1879] lr: 2.0000e-03 eta: 7:39:30 time: 1.0291 data_time: 0.0254 memory: 27035 grad_norm: 3.8918 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8362 loss: 0.8362 2022/08/09 12:17:33 - mmengine - INFO - Epoch(train) [36][1600/1879] lr: 2.0000e-03 eta: 7:39:10 time: 1.0547 data_time: 0.0498 memory: 27035 grad_norm: 3.8430 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7402 loss: 0.7402 2022/08/09 12:17:54 - mmengine - INFO - Epoch(train) [36][1620/1879] lr: 2.0000e-03 eta: 7:38:49 time: 1.0380 data_time: 0.0307 memory: 27035 grad_norm: 3.8997 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7828 loss: 0.7828 2022/08/09 12:18:14 - mmengine - INFO - Epoch(train) [36][1640/1879] lr: 2.0000e-03 eta: 7:38:28 time: 1.0307 data_time: 0.0248 memory: 27035 grad_norm: 4.0512 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8562 loss: 0.8562 2022/08/09 12:18:35 - mmengine - INFO - Epoch(train) [36][1660/1879] lr: 2.0000e-03 eta: 7:38:07 time: 1.0285 data_time: 0.0252 memory: 27035 grad_norm: 3.9581 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0570 loss: 1.0570 2022/08/09 12:18:56 - mmengine - INFO - Epoch(train) [36][1680/1879] lr: 2.0000e-03 eta: 7:37:46 time: 1.0294 data_time: 0.0252 memory: 27035 grad_norm: 3.9233 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8135 loss: 0.8135 2022/08/09 12:19:16 - mmengine - INFO - Epoch(train) [36][1700/1879] lr: 2.0000e-03 eta: 7:37:26 time: 1.0259 data_time: 0.0236 memory: 27035 grad_norm: 3.9353 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8306 loss: 0.8306 2022/08/09 12:19:37 - mmengine - INFO - Epoch(train) [36][1720/1879] lr: 2.0000e-03 eta: 7:37:05 time: 1.0290 data_time: 0.0247 memory: 27035 grad_norm: 3.8534 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8433 loss: 0.8433 2022/08/09 12:19:57 - mmengine - INFO - Epoch(train) [36][1740/1879] lr: 2.0000e-03 eta: 7:36:44 time: 1.0269 data_time: 0.0243 memory: 27035 grad_norm: 3.9380 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7584 loss: 0.7584 2022/08/09 12:20:18 - mmengine - INFO - Epoch(train) [36][1760/1879] lr: 2.0000e-03 eta: 7:36:23 time: 1.0354 data_time: 0.0263 memory: 27035 grad_norm: 3.7998 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0465 loss: 1.0465 2022/08/09 12:20:39 - mmengine - INFO - Epoch(train) [36][1780/1879] lr: 2.0000e-03 eta: 7:36:03 time: 1.0290 data_time: 0.0250 memory: 27035 grad_norm: 3.9320 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7512 loss: 0.7512 2022/08/09 12:20:59 - mmengine - INFO - Epoch(train) [36][1800/1879] lr: 2.0000e-03 eta: 7:35:42 time: 1.0390 data_time: 0.0327 memory: 27035 grad_norm: 3.8949 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8301 loss: 0.8301 2022/08/09 12:21:20 - mmengine - INFO - Epoch(train) [36][1820/1879] lr: 2.0000e-03 eta: 7:35:21 time: 1.0331 data_time: 0.0261 memory: 27035 grad_norm: 3.9331 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7627 loss: 0.7627 2022/08/09 12:21:41 - mmengine - INFO - Epoch(train) [36][1840/1879] lr: 2.0000e-03 eta: 7:35:00 time: 1.0337 data_time: 0.0253 memory: 27035 grad_norm: 3.8956 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9259 loss: 0.9259 2022/08/09 12:22:01 - mmengine - INFO - Epoch(train) [36][1860/1879] lr: 2.0000e-03 eta: 7:34:40 time: 1.0291 data_time: 0.0243 memory: 27035 grad_norm: 4.0434 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8954 loss: 0.8954 2022/08/09 12:22:21 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 12:22:21 - mmengine - INFO - Epoch(train) [36][1879/1879] lr: 2.0000e-03 eta: 7:34:40 time: 1.0191 data_time: 0.0321 memory: 27035 grad_norm: 3.9665 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7693 loss: 0.7693 2022/08/09 12:22:21 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/08/09 12:22:38 - mmengine - INFO - Epoch(val) [36][20/155] eta: 0:01:47 time: 0.7960 data_time: 0.5254 memory: 3270 2022/08/09 12:22:49 - mmengine - INFO - Epoch(val) [36][40/155] eta: 0:01:00 time: 0.5266 data_time: 0.2562 memory: 3270 2022/08/09 12:23:03 - mmengine - INFO - Epoch(val) [36][60/155] eta: 0:01:06 time: 0.6949 data_time: 0.4270 memory: 3270 2022/08/09 12:23:13 - mmengine - INFO - Epoch(val) [36][80/155] eta: 0:00:37 time: 0.5031 data_time: 0.2341 memory: 3270 2022/08/09 12:23:26 - mmengine - INFO - Epoch(val) [36][100/155] eta: 0:00:36 time: 0.6581 data_time: 0.3841 memory: 3270 2022/08/09 12:23:38 - mmengine - INFO - Epoch(val) [36][120/155] eta: 0:00:20 time: 0.5757 data_time: 0.3046 memory: 3270 2022/08/09 12:23:51 - mmengine - INFO - Epoch(val) [36][140/155] eta: 0:00:10 time: 0.6747 data_time: 0.4046 memory: 3270 2022/08/09 12:23:59 - mmengine - INFO - Epoch(val) [36][155/155] acc/top1: 0.7289 acc/top5: 0.9089 acc/mean1: 0.7288 2022/08/09 12:23:59 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_35.pth is removed 2022/08/09 12:24:01 - mmengine - INFO - The best checkpoint with 0.7289 acc/top1 at 37 epoch is saved to best_acc/top1_epoch_37.pth. 2022/08/09 12:24:26 - mmengine - INFO - Epoch(train) [37][20/1879] lr: 2.0000e-03 eta: 7:33:53 time: 1.2720 data_time: 0.2551 memory: 27035 grad_norm: 3.8639 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7755 loss: 0.7755 2022/08/09 12:24:47 - mmengine - INFO - Epoch(train) [37][40/1879] lr: 2.0000e-03 eta: 7:33:33 time: 1.0326 data_time: 0.0303 memory: 27035 grad_norm: 3.8136 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7023 loss: 0.7023 2022/08/09 12:25:07 - mmengine - INFO - Epoch(train) [37][60/1879] lr: 2.0000e-03 eta: 7:33:12 time: 1.0305 data_time: 0.0256 memory: 27035 grad_norm: 3.7481 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8180 loss: 0.8180 2022/08/09 12:25:29 - mmengine - INFO - Epoch(train) [37][80/1879] lr: 2.0000e-03 eta: 7:32:51 time: 1.0690 data_time: 0.0636 memory: 27035 grad_norm: 3.8080 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7696 loss: 0.7696 2022/08/09 12:25:49 - mmengine - INFO - Epoch(train) [37][100/1879] lr: 2.0000e-03 eta: 7:32:31 time: 1.0313 data_time: 0.0259 memory: 27035 grad_norm: 3.8978 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8014 loss: 0.8014 2022/08/09 12:26:10 - mmengine - INFO - Epoch(train) [37][120/1879] lr: 2.0000e-03 eta: 7:32:10 time: 1.0283 data_time: 0.0251 memory: 27035 grad_norm: 4.0199 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7792 loss: 0.7792 2022/08/09 12:26:31 - mmengine - INFO - Epoch(train) [37][140/1879] lr: 2.0000e-03 eta: 7:31:49 time: 1.0304 data_time: 0.0250 memory: 27035 grad_norm: 3.8113 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7908 loss: 0.7908 2022/08/09 12:26:51 - mmengine - INFO - Epoch(train) [37][160/1879] lr: 2.0000e-03 eta: 7:31:28 time: 1.0306 data_time: 0.0255 memory: 27035 grad_norm: 3.8608 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8353 loss: 0.8353 2022/08/09 12:27:12 - mmengine - INFO - Epoch(train) [37][180/1879] lr: 2.0000e-03 eta: 7:31:08 time: 1.0301 data_time: 0.0253 memory: 27035 grad_norm: 3.9224 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.7594 loss: 0.7594 2022/08/09 12:27:33 - mmengine - INFO - Epoch(train) [37][200/1879] lr: 2.0000e-03 eta: 7:30:47 time: 1.0539 data_time: 0.0507 memory: 27035 grad_norm: 3.8056 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8168 loss: 0.8168 2022/08/09 12:27:53 - mmengine - INFO - Epoch(train) [37][220/1879] lr: 2.0000e-03 eta: 7:30:26 time: 1.0281 data_time: 0.0253 memory: 27035 grad_norm: 3.9051 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7382 loss: 0.7382 2022/08/09 12:28:14 - mmengine - INFO - Epoch(train) [37][240/1879] lr: 2.0000e-03 eta: 7:30:05 time: 1.0365 data_time: 0.0327 memory: 27035 grad_norm: 3.7367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8308 loss: 0.8308 2022/08/09 12:28:35 - mmengine - INFO - Epoch(train) [37][260/1879] lr: 2.0000e-03 eta: 7:29:45 time: 1.0290 data_time: 0.0238 memory: 27035 grad_norm: 3.7376 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7051 loss: 0.7051 2022/08/09 12:28:55 - mmengine - INFO - Epoch(train) [37][280/1879] lr: 2.0000e-03 eta: 7:29:24 time: 1.0265 data_time: 0.0244 memory: 27035 grad_norm: 3.8560 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8111 loss: 0.8111 2022/08/09 12:29:16 - mmengine - INFO - Epoch(train) [37][300/1879] lr: 2.0000e-03 eta: 7:29:03 time: 1.0268 data_time: 0.0251 memory: 27035 grad_norm: 3.7711 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7857 loss: 0.7857 2022/08/09 12:29:36 - mmengine - INFO - Epoch(train) [37][320/1879] lr: 2.0000e-03 eta: 7:28:42 time: 1.0267 data_time: 0.0250 memory: 27035 grad_norm: 3.8679 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7051 loss: 0.7051 2022/08/09 12:29:57 - mmengine - INFO - Epoch(train) [37][340/1879] lr: 2.0000e-03 eta: 7:28:22 time: 1.0283 data_time: 0.0250 memory: 27035 grad_norm: 3.7098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8437 loss: 0.8437 2022/08/09 12:30:14 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 12:30:18 - mmengine - INFO - Epoch(train) [37][360/1879] lr: 2.0000e-03 eta: 7:28:01 time: 1.0432 data_time: 0.0304 memory: 27035 grad_norm: 3.8326 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9473 loss: 0.9473 2022/08/09 12:30:39 - mmengine - INFO - Epoch(train) [37][380/1879] lr: 2.0000e-03 eta: 7:27:40 time: 1.0352 data_time: 0.0261 memory: 27035 grad_norm: 3.8443 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7223 loss: 0.7223 2022/08/09 12:30:59 - mmengine - INFO - Epoch(train) [37][400/1879] lr: 2.0000e-03 eta: 7:27:19 time: 1.0287 data_time: 0.0260 memory: 27035 grad_norm: 3.7901 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0330 loss: 1.0330 2022/08/09 12:31:20 - mmengine - INFO - Epoch(train) [37][420/1879] lr: 2.0000e-03 eta: 7:26:59 time: 1.0322 data_time: 0.0259 memory: 27035 grad_norm: 3.9097 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8764 loss: 0.8764 2022/08/09 12:31:40 - mmengine - INFO - Epoch(train) [37][440/1879] lr: 2.0000e-03 eta: 7:26:38 time: 1.0268 data_time: 0.0248 memory: 27035 grad_norm: 3.7618 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7498 loss: 0.7498 2022/08/09 12:32:01 - mmengine - INFO - Epoch(train) [37][460/1879] lr: 2.0000e-03 eta: 7:26:17 time: 1.0385 data_time: 0.0311 memory: 27035 grad_norm: 3.8528 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6800 loss: 0.6800 2022/08/09 12:32:22 - mmengine - INFO - Epoch(train) [37][480/1879] lr: 2.0000e-03 eta: 7:25:56 time: 1.0311 data_time: 0.0251 memory: 27035 grad_norm: 3.9278 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7698 loss: 0.7698 2022/08/09 12:32:42 - mmengine - INFO - Epoch(train) [37][500/1879] lr: 2.0000e-03 eta: 7:25:36 time: 1.0292 data_time: 0.0257 memory: 27035 grad_norm: 3.8608 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9176 loss: 0.9176 2022/08/09 12:33:03 - mmengine - INFO - Epoch(train) [37][520/1879] lr: 2.0000e-03 eta: 7:25:15 time: 1.0337 data_time: 0.0249 memory: 27035 grad_norm: 3.9503 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9208 loss: 0.9208 2022/08/09 12:33:24 - mmengine - INFO - Epoch(train) [37][540/1879] lr: 2.0000e-03 eta: 7:24:54 time: 1.0278 data_time: 0.0252 memory: 27035 grad_norm: 3.8140 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8411 loss: 0.8411 2022/08/09 12:33:44 - mmengine - INFO - Epoch(train) [37][560/1879] lr: 2.0000e-03 eta: 7:24:33 time: 1.0294 data_time: 0.0251 memory: 27035 grad_norm: 3.7781 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8054 loss: 0.8054 2022/08/09 12:34:05 - mmengine - INFO - Epoch(train) [37][580/1879] lr: 2.0000e-03 eta: 7:24:12 time: 1.0284 data_time: 0.0250 memory: 27035 grad_norm: 3.7566 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8344 loss: 0.8344 2022/08/09 12:34:25 - mmengine - INFO - Epoch(train) [37][600/1879] lr: 2.0000e-03 eta: 7:23:52 time: 1.0310 data_time: 0.0248 memory: 27035 grad_norm: 3.9631 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8257 loss: 0.8257 2022/08/09 12:34:46 - mmengine - INFO - Epoch(train) [37][620/1879] lr: 2.0000e-03 eta: 7:23:31 time: 1.0297 data_time: 0.0262 memory: 27035 grad_norm: 3.8240 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8241 loss: 0.8241 2022/08/09 12:35:07 - mmengine - INFO - Epoch(train) [37][640/1879] lr: 2.0000e-03 eta: 7:23:10 time: 1.0356 data_time: 0.0256 memory: 27035 grad_norm: 3.8807 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8477 loss: 0.8477 2022/08/09 12:35:28 - mmengine - INFO - Epoch(train) [37][660/1879] lr: 2.0000e-03 eta: 7:22:50 time: 1.0840 data_time: 0.0789 memory: 27035 grad_norm: 3.8421 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8507 loss: 0.8507 2022/08/09 12:35:49 - mmengine - INFO - Epoch(train) [37][680/1879] lr: 2.0000e-03 eta: 7:22:29 time: 1.0302 data_time: 0.0253 memory: 27035 grad_norm: 3.9600 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6495 loss: 0.6495 2022/08/09 12:36:10 - mmengine - INFO - Epoch(train) [37][700/1879] lr: 2.0000e-03 eta: 7:22:08 time: 1.0313 data_time: 0.0254 memory: 27035 grad_norm: 3.9315 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8302 loss: 0.8302 2022/08/09 12:36:30 - mmengine - INFO - Epoch(train) [37][720/1879] lr: 2.0000e-03 eta: 7:21:48 time: 1.0329 data_time: 0.0248 memory: 27035 grad_norm: 3.8022 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7025 loss: 0.7025 2022/08/09 12:36:51 - mmengine - INFO - Epoch(train) [37][740/1879] lr: 2.0000e-03 eta: 7:21:27 time: 1.0299 data_time: 0.0262 memory: 27035 grad_norm: 3.9421 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8973 loss: 0.8973 2022/08/09 12:37:12 - mmengine - INFO - Epoch(train) [37][760/1879] lr: 2.0000e-03 eta: 7:21:06 time: 1.0340 data_time: 0.0256 memory: 27035 grad_norm: 3.9420 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8410 loss: 0.8410 2022/08/09 12:37:33 - mmengine - INFO - Epoch(train) [37][780/1879] lr: 2.0000e-03 eta: 7:20:46 time: 1.0731 data_time: 0.0685 memory: 27035 grad_norm: 3.8587 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8365 loss: 0.8365 2022/08/09 12:37:54 - mmengine - INFO - Epoch(train) [37][800/1879] lr: 2.0000e-03 eta: 7:20:25 time: 1.0313 data_time: 0.0248 memory: 27035 grad_norm: 3.8647 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6807 loss: 0.6807 2022/08/09 12:38:14 - mmengine - INFO - Epoch(train) [37][820/1879] lr: 2.0000e-03 eta: 7:20:04 time: 1.0348 data_time: 0.0259 memory: 27035 grad_norm: 4.0101 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8437 loss: 0.8437 2022/08/09 12:38:35 - mmengine - INFO - Epoch(train) [37][840/1879] lr: 2.0000e-03 eta: 7:19:43 time: 1.0317 data_time: 0.0255 memory: 27035 grad_norm: 3.9921 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7591 loss: 0.7591 2022/08/09 12:38:56 - mmengine - INFO - Epoch(train) [37][860/1879] lr: 2.0000e-03 eta: 7:19:23 time: 1.0298 data_time: 0.0258 memory: 27035 grad_norm: 3.9288 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9326 loss: 0.9326 2022/08/09 12:39:16 - mmengine - INFO - Epoch(train) [37][880/1879] lr: 2.0000e-03 eta: 7:19:02 time: 1.0303 data_time: 0.0251 memory: 27035 grad_norm: 3.8317 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8246 loss: 0.8246 2022/08/09 12:39:37 - mmengine - INFO - Epoch(train) [37][900/1879] lr: 2.0000e-03 eta: 7:18:41 time: 1.0315 data_time: 0.0252 memory: 27035 grad_norm: 3.9021 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9188 loss: 0.9188 2022/08/09 12:39:57 - mmengine - INFO - Epoch(train) [37][920/1879] lr: 2.0000e-03 eta: 7:18:20 time: 1.0295 data_time: 0.0263 memory: 27035 grad_norm: 3.8621 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7525 loss: 0.7525 2022/08/09 12:40:19 - mmengine - INFO - Epoch(train) [37][940/1879] lr: 2.0000e-03 eta: 7:18:00 time: 1.0531 data_time: 0.0309 memory: 27035 grad_norm: 3.8598 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8427 loss: 0.8427 2022/08/09 12:40:39 - mmengine - INFO - Epoch(train) [37][960/1879] lr: 2.0000e-03 eta: 7:17:39 time: 1.0334 data_time: 0.0252 memory: 27035 grad_norm: 3.8204 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7790 loss: 0.7790 2022/08/09 12:41:00 - mmengine - INFO - Epoch(train) [37][980/1879] lr: 2.0000e-03 eta: 7:17:18 time: 1.0323 data_time: 0.0256 memory: 27035 grad_norm: 3.7855 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6186 loss: 0.6186 2022/08/09 12:41:20 - mmengine - INFO - Epoch(train) [37][1000/1879] lr: 2.0000e-03 eta: 7:16:58 time: 1.0314 data_time: 0.0253 memory: 27035 grad_norm: 3.8692 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8398 loss: 0.8398 2022/08/09 12:41:41 - mmengine - INFO - Epoch(train) [37][1020/1879] lr: 2.0000e-03 eta: 7:16:37 time: 1.0303 data_time: 0.0260 memory: 27035 grad_norm: 3.9119 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0150 loss: 1.0150 2022/08/09 12:42:02 - mmengine - INFO - Epoch(train) [37][1040/1879] lr: 2.0000e-03 eta: 7:16:16 time: 1.0287 data_time: 0.0250 memory: 27035 grad_norm: 3.9578 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8493 loss: 0.8493 2022/08/09 12:42:22 - mmengine - INFO - Epoch(train) [37][1060/1879] lr: 2.0000e-03 eta: 7:15:55 time: 1.0296 data_time: 0.0260 memory: 27035 grad_norm: 3.9821 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8289 loss: 0.8289 2022/08/09 12:42:43 - mmengine - INFO - Epoch(train) [37][1080/1879] lr: 2.0000e-03 eta: 7:15:35 time: 1.0427 data_time: 0.0324 memory: 27035 grad_norm: 3.9487 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9409 loss: 0.9409 2022/08/09 12:43:04 - mmengine - INFO - Epoch(train) [37][1100/1879] lr: 2.0000e-03 eta: 7:15:14 time: 1.0366 data_time: 0.0289 memory: 27035 grad_norm: 3.9100 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8344 loss: 0.8344 2022/08/09 12:43:25 - mmengine - INFO - Epoch(train) [37][1120/1879] lr: 2.0000e-03 eta: 7:14:53 time: 1.0308 data_time: 0.0268 memory: 27035 grad_norm: 3.9418 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8675 loss: 0.8675 2022/08/09 12:43:45 - mmengine - INFO - Epoch(train) [37][1140/1879] lr: 2.0000e-03 eta: 7:14:32 time: 1.0374 data_time: 0.0274 memory: 27035 grad_norm: 3.8946 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8890 loss: 0.8890 2022/08/09 12:44:06 - mmengine - INFO - Epoch(train) [37][1160/1879] lr: 2.0000e-03 eta: 7:14:12 time: 1.0300 data_time: 0.0255 memory: 27035 grad_norm: 3.9015 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7904 loss: 0.7904 2022/08/09 12:44:27 - mmengine - INFO - Epoch(train) [37][1180/1879] lr: 2.0000e-03 eta: 7:13:51 time: 1.0311 data_time: 0.0260 memory: 27035 grad_norm: 3.9136 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8826 loss: 0.8826 2022/08/09 12:44:47 - mmengine - INFO - Epoch(train) [37][1200/1879] lr: 2.0000e-03 eta: 7:13:30 time: 1.0337 data_time: 0.0268 memory: 27035 grad_norm: 3.9467 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7305 loss: 0.7305 2022/08/09 12:45:08 - mmengine - INFO - Epoch(train) [37][1220/1879] lr: 2.0000e-03 eta: 7:13:09 time: 1.0374 data_time: 0.0255 memory: 27035 grad_norm: 3.9090 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7530 loss: 0.7530 2022/08/09 12:45:29 - mmengine - INFO - Epoch(train) [37][1240/1879] lr: 2.0000e-03 eta: 7:12:49 time: 1.0700 data_time: 0.0528 memory: 27035 grad_norm: 3.7279 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7944 loss: 0.7944 2022/08/09 12:45:50 - mmengine - INFO - Epoch(train) [37][1260/1879] lr: 2.0000e-03 eta: 7:12:28 time: 1.0394 data_time: 0.0312 memory: 27035 grad_norm: 3.9401 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7268 loss: 0.7268 2022/08/09 12:46:11 - mmengine - INFO - Epoch(train) [37][1280/1879] lr: 2.0000e-03 eta: 7:12:07 time: 1.0297 data_time: 0.0257 memory: 27035 grad_norm: 3.7744 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7662 loss: 0.7662 2022/08/09 12:46:31 - mmengine - INFO - Epoch(train) [37][1300/1879] lr: 2.0000e-03 eta: 7:11:47 time: 1.0314 data_time: 0.0256 memory: 27035 grad_norm: 3.9751 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7133 loss: 0.7133 2022/08/09 12:46:52 - mmengine - INFO - Epoch(train) [37][1320/1879] lr: 2.0000e-03 eta: 7:11:26 time: 1.0324 data_time: 0.0244 memory: 27035 grad_norm: 3.8811 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9079 loss: 0.9079 2022/08/09 12:47:13 - mmengine - INFO - Epoch(train) [37][1340/1879] lr: 2.0000e-03 eta: 7:11:05 time: 1.0601 data_time: 0.0252 memory: 27035 grad_norm: 3.9121 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8735 loss: 0.8735 2022/08/09 12:47:30 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 12:47:34 - mmengine - INFO - Epoch(train) [37][1360/1879] lr: 2.0000e-03 eta: 7:10:45 time: 1.0294 data_time: 0.0260 memory: 27035 grad_norm: 3.8158 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7868 loss: 0.7868 2022/08/09 12:47:55 - mmengine - INFO - Epoch(train) [37][1380/1879] lr: 2.0000e-03 eta: 7:10:24 time: 1.0384 data_time: 0.0322 memory: 27035 grad_norm: 3.9362 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8381 loss: 0.8381 2022/08/09 12:48:15 - mmengine - INFO - Epoch(train) [37][1400/1879] lr: 2.0000e-03 eta: 7:10:03 time: 1.0314 data_time: 0.0248 memory: 27035 grad_norm: 3.8742 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7644 loss: 0.7644 2022/08/09 12:48:36 - mmengine - INFO - Epoch(train) [37][1420/1879] lr: 2.0000e-03 eta: 7:09:42 time: 1.0291 data_time: 0.0262 memory: 27035 grad_norm: 3.8266 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9411 loss: 0.9411 2022/08/09 12:48:56 - mmengine - INFO - Epoch(train) [37][1440/1879] lr: 2.0000e-03 eta: 7:09:22 time: 1.0291 data_time: 0.0254 memory: 27035 grad_norm: 3.7685 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8215 loss: 0.8215 2022/08/09 12:49:17 - mmengine - INFO - Epoch(train) [37][1460/1879] lr: 2.0000e-03 eta: 7:09:01 time: 1.0279 data_time: 0.0255 memory: 27035 grad_norm: 3.9907 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8339 loss: 0.8339 2022/08/09 12:49:38 - mmengine - INFO - Epoch(train) [37][1480/1879] lr: 2.0000e-03 eta: 7:08:40 time: 1.0324 data_time: 0.0268 memory: 27035 grad_norm: 3.9495 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8578 loss: 0.8578 2022/08/09 12:49:58 - mmengine - INFO - Epoch(train) [37][1500/1879] lr: 2.0000e-03 eta: 7:08:19 time: 1.0313 data_time: 0.0251 memory: 27035 grad_norm: 3.8084 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8264 loss: 0.8264 2022/08/09 12:50:19 - mmengine - INFO - Epoch(train) [37][1520/1879] lr: 2.0000e-03 eta: 7:07:59 time: 1.0518 data_time: 0.0272 memory: 27035 grad_norm: 3.8451 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8015 loss: 0.8015 2022/08/09 12:50:40 - mmengine - INFO - Epoch(train) [37][1540/1879] lr: 2.0000e-03 eta: 7:07:38 time: 1.0289 data_time: 0.0246 memory: 27035 grad_norm: 3.8972 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8677 loss: 0.8677 2022/08/09 12:51:01 - mmengine - INFO - Epoch(train) [37][1560/1879] lr: 2.0000e-03 eta: 7:07:17 time: 1.0284 data_time: 0.0255 memory: 27035 grad_norm: 3.9054 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7016 loss: 0.7016 2022/08/09 12:51:21 - mmengine - INFO - Epoch(train) [37][1580/1879] lr: 2.0000e-03 eta: 7:06:56 time: 1.0359 data_time: 0.0258 memory: 27035 grad_norm: 4.0558 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8433 loss: 0.8433 2022/08/09 12:51:42 - mmengine - INFO - Epoch(train) [37][1600/1879] lr: 2.0000e-03 eta: 7:06:36 time: 1.0300 data_time: 0.0256 memory: 27035 grad_norm: 3.9483 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.7462 loss: 0.7462 2022/08/09 12:52:02 - mmengine - INFO - Epoch(train) [37][1620/1879] lr: 2.0000e-03 eta: 7:06:15 time: 1.0292 data_time: 0.0259 memory: 27035 grad_norm: 3.9480 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8044 loss: 0.8044 2022/08/09 12:52:23 - mmengine - INFO - Epoch(train) [37][1640/1879] lr: 2.0000e-03 eta: 7:05:54 time: 1.0293 data_time: 0.0243 memory: 27035 grad_norm: 3.8685 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8801 loss: 0.8801 2022/08/09 12:52:44 - mmengine - INFO - Epoch(train) [37][1660/1879] lr: 2.0000e-03 eta: 7:05:33 time: 1.0326 data_time: 0.0257 memory: 27035 grad_norm: 3.9835 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7803 loss: 0.7803 2022/08/09 12:53:04 - mmengine - INFO - Epoch(train) [37][1680/1879] lr: 2.0000e-03 eta: 7:05:13 time: 1.0310 data_time: 0.0256 memory: 27035 grad_norm: 3.9698 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9216 loss: 0.9216 2022/08/09 12:53:25 - mmengine - INFO - Epoch(train) [37][1700/1879] lr: 2.0000e-03 eta: 7:04:52 time: 1.0324 data_time: 0.0255 memory: 27035 grad_norm: 3.9333 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8888 loss: 0.8888 2022/08/09 12:53:46 - mmengine - INFO - Epoch(train) [37][1720/1879] lr: 2.0000e-03 eta: 7:04:31 time: 1.0282 data_time: 0.0267 memory: 27035 grad_norm: 3.9259 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9986 loss: 0.9986 2022/08/09 12:54:06 - mmengine - INFO - Epoch(train) [37][1740/1879] lr: 2.0000e-03 eta: 7:04:10 time: 1.0336 data_time: 0.0268 memory: 27035 grad_norm: 3.8356 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6451 loss: 0.6451 2022/08/09 12:54:27 - mmengine - INFO - Epoch(train) [37][1760/1879] lr: 2.0000e-03 eta: 7:03:50 time: 1.0370 data_time: 0.0315 memory: 27035 grad_norm: 4.0654 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9015 loss: 0.9015 2022/08/09 12:54:48 - mmengine - INFO - Epoch(train) [37][1780/1879] lr: 2.0000e-03 eta: 7:03:29 time: 1.0280 data_time: 0.0256 memory: 27035 grad_norm: 3.8259 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8779 loss: 0.8779 2022/08/09 12:55:08 - mmengine - INFO - Epoch(train) [37][1800/1879] lr: 2.0000e-03 eta: 7:03:08 time: 1.0328 data_time: 0.0267 memory: 27035 grad_norm: 3.6961 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7028 loss: 0.7028 2022/08/09 12:55:29 - mmengine - INFO - Epoch(train) [37][1820/1879] lr: 2.0000e-03 eta: 7:02:47 time: 1.0314 data_time: 0.0272 memory: 27035 grad_norm: 3.8352 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8235 loss: 0.8235 2022/08/09 12:55:49 - mmengine - INFO - Epoch(train) [37][1840/1879] lr: 2.0000e-03 eta: 7:02:27 time: 1.0294 data_time: 0.0250 memory: 27035 grad_norm: 3.8924 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0080 loss: 1.0080 2022/08/09 12:56:10 - mmengine - INFO - Epoch(train) [37][1860/1879] lr: 2.0000e-03 eta: 7:02:06 time: 1.0337 data_time: 0.0262 memory: 27035 grad_norm: 4.0175 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9300 loss: 0.9300 2022/08/09 12:56:29 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 12:56:29 - mmengine - INFO - Epoch(train) [37][1879/1879] lr: 2.0000e-03 eta: 7:02:06 time: 1.0121 data_time: 0.0250 memory: 27035 grad_norm: 3.9819 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7615 loss: 0.7615 2022/08/09 12:56:44 - mmengine - INFO - Epoch(val) [37][20/155] eta: 0:01:41 time: 0.7523 data_time: 0.4821 memory: 3270 2022/08/09 12:56:55 - mmengine - INFO - Epoch(val) [37][40/155] eta: 0:00:58 time: 0.5128 data_time: 0.2445 memory: 3270 2022/08/09 12:57:08 - mmengine - INFO - Epoch(val) [37][60/155] eta: 0:01:03 time: 0.6640 data_time: 0.3945 memory: 3270 2022/08/09 12:57:20 - mmengine - INFO - Epoch(val) [37][80/155] eta: 0:00:44 time: 0.5986 data_time: 0.3275 memory: 3270 2022/08/09 12:57:33 - mmengine - INFO - Epoch(val) [37][100/155] eta: 0:00:36 time: 0.6582 data_time: 0.3866 memory: 3270 2022/08/09 12:57:44 - mmengine - INFO - Epoch(val) [37][120/155] eta: 0:00:18 time: 0.5322 data_time: 0.2622 memory: 3270 2022/08/09 12:57:58 - mmengine - INFO - Epoch(val) [37][140/155] eta: 0:00:10 time: 0.7124 data_time: 0.4435 memory: 3270 2022/08/09 12:58:07 - mmengine - INFO - Epoch(val) [37][155/155] acc/top1: 0.7293 acc/top5: 0.9079 acc/mean1: 0.7293 2022/08/09 12:58:07 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_37.pth is removed 2022/08/09 12:58:08 - mmengine - INFO - The best checkpoint with 0.7293 acc/top1 at 38 epoch is saved to best_acc/top1_epoch_38.pth. 2022/08/09 12:58:34 - mmengine - INFO - Epoch(train) [38][20/1879] lr: 2.0000e-03 eta: 7:01:20 time: 1.2857 data_time: 0.2608 memory: 27035 grad_norm: 3.8317 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6763 loss: 0.6763 2022/08/09 12:58:55 - mmengine - INFO - Epoch(train) [38][40/1879] lr: 2.0000e-03 eta: 7:01:00 time: 1.0287 data_time: 0.0258 memory: 27035 grad_norm: 3.7846 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6835 loss: 0.6835 2022/08/09 12:59:15 - mmengine - INFO - Epoch(train) [38][60/1879] lr: 2.0000e-03 eta: 7:00:39 time: 1.0329 data_time: 0.0264 memory: 27035 grad_norm: 3.8236 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7505 loss: 0.7505 2022/08/09 12:59:36 - mmengine - INFO - Epoch(train) [38][80/1879] lr: 2.0000e-03 eta: 7:00:18 time: 1.0351 data_time: 0.0255 memory: 27035 grad_norm: 3.8197 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7148 loss: 0.7148 2022/08/09 12:59:57 - mmengine - INFO - Epoch(train) [38][100/1879] lr: 2.0000e-03 eta: 6:59:57 time: 1.0344 data_time: 0.0262 memory: 27035 grad_norm: 3.7875 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8275 loss: 0.8275 2022/08/09 13:00:18 - mmengine - INFO - Epoch(train) [38][120/1879] lr: 2.0000e-03 eta: 6:59:37 time: 1.0442 data_time: 0.0266 memory: 27035 grad_norm: 3.8597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8364 loss: 0.8364 2022/08/09 13:00:38 - mmengine - INFO - Epoch(train) [38][140/1879] lr: 2.0000e-03 eta: 6:59:16 time: 1.0293 data_time: 0.0246 memory: 27035 grad_norm: 3.8934 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7376 loss: 0.7376 2022/08/09 13:00:59 - mmengine - INFO - Epoch(train) [38][160/1879] lr: 2.0000e-03 eta: 6:58:55 time: 1.0302 data_time: 0.0246 memory: 27035 grad_norm: 3.9865 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6966 loss: 0.6966 2022/08/09 13:01:19 - mmengine - INFO - Epoch(train) [38][180/1879] lr: 2.0000e-03 eta: 6:58:34 time: 1.0287 data_time: 0.0253 memory: 27035 grad_norm: 3.9071 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9375 loss: 0.9375 2022/08/09 13:01:40 - mmengine - INFO - Epoch(train) [38][200/1879] lr: 2.0000e-03 eta: 6:58:14 time: 1.0305 data_time: 0.0254 memory: 27035 grad_norm: 3.8644 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8609 loss: 0.8609 2022/08/09 13:02:01 - mmengine - INFO - Epoch(train) [38][220/1879] lr: 2.0000e-03 eta: 6:57:53 time: 1.0323 data_time: 0.0267 memory: 27035 grad_norm: 3.8043 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7964 loss: 0.7964 2022/08/09 13:02:21 - mmengine - INFO - Epoch(train) [38][240/1879] lr: 2.0000e-03 eta: 6:57:32 time: 1.0340 data_time: 0.0317 memory: 27035 grad_norm: 3.8144 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7456 loss: 0.7456 2022/08/09 13:02:42 - mmengine - INFO - Epoch(train) [38][260/1879] lr: 2.0000e-03 eta: 6:57:12 time: 1.0286 data_time: 0.0258 memory: 27035 grad_norm: 3.8397 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8300 loss: 0.8300 2022/08/09 13:03:03 - mmengine - INFO - Epoch(train) [38][280/1879] lr: 2.0000e-03 eta: 6:56:51 time: 1.0310 data_time: 0.0252 memory: 27035 grad_norm: 4.0125 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8103 loss: 0.8103 2022/08/09 13:03:23 - mmengine - INFO - Epoch(train) [38][300/1879] lr: 2.0000e-03 eta: 6:56:30 time: 1.0299 data_time: 0.0264 memory: 27035 grad_norm: 3.7548 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6921 loss: 0.6921 2022/08/09 13:03:44 - mmengine - INFO - Epoch(train) [38][320/1879] lr: 2.0000e-03 eta: 6:56:09 time: 1.0309 data_time: 0.0258 memory: 27035 grad_norm: 3.9176 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8048 loss: 0.8048 2022/08/09 13:04:04 - mmengine - INFO - Epoch(train) [38][340/1879] lr: 2.0000e-03 eta: 6:55:48 time: 1.0279 data_time: 0.0247 memory: 27035 grad_norm: 3.9868 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8212 loss: 0.8212 2022/08/09 13:04:25 - mmengine - INFO - Epoch(train) [38][360/1879] lr: 2.0000e-03 eta: 6:55:28 time: 1.0384 data_time: 0.0247 memory: 27035 grad_norm: 3.8395 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8762 loss: 0.8762 2022/08/09 13:04:46 - mmengine - INFO - Epoch(train) [38][380/1879] lr: 2.0000e-03 eta: 6:55:07 time: 1.0320 data_time: 0.0266 memory: 27035 grad_norm: 3.8198 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8290 loss: 0.8290 2022/08/09 13:05:06 - mmengine - INFO - Epoch(train) [38][400/1879] lr: 2.0000e-03 eta: 6:54:46 time: 1.0338 data_time: 0.0256 memory: 27035 grad_norm: 3.9395 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7000 loss: 0.7000 2022/08/09 13:05:27 - mmengine - INFO - Epoch(train) [38][420/1879] lr: 2.0000e-03 eta: 6:54:26 time: 1.0403 data_time: 0.0337 memory: 27035 grad_norm: 3.8866 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7595 loss: 0.7595 2022/08/09 13:05:48 - mmengine - INFO - Epoch(train) [38][440/1879] lr: 2.0000e-03 eta: 6:54:05 time: 1.0330 data_time: 0.0250 memory: 27035 grad_norm: 3.8487 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9283 loss: 0.9283 2022/08/09 13:06:09 - mmengine - INFO - Epoch(train) [38][460/1879] lr: 2.0000e-03 eta: 6:53:44 time: 1.0327 data_time: 0.0262 memory: 27035 grad_norm: 3.9075 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8940 loss: 0.8940 2022/08/09 13:06:26 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 13:06:29 - mmengine - INFO - Epoch(train) [38][480/1879] lr: 2.0000e-03 eta: 6:53:23 time: 1.0300 data_time: 0.0259 memory: 27035 grad_norm: 3.8119 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6530 loss: 0.6530 2022/08/09 13:06:50 - mmengine - INFO - Epoch(train) [38][500/1879] lr: 2.0000e-03 eta: 6:53:03 time: 1.0281 data_time: 0.0253 memory: 27035 grad_norm: 3.8994 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7347 loss: 0.7347 2022/08/09 13:07:10 - mmengine - INFO - Epoch(train) [38][520/1879] lr: 2.0000e-03 eta: 6:52:42 time: 1.0304 data_time: 0.0258 memory: 27035 grad_norm: 3.9780 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7896 loss: 0.7896 2022/08/09 13:07:32 - mmengine - INFO - Epoch(train) [38][540/1879] lr: 2.0000e-03 eta: 6:52:21 time: 1.0658 data_time: 0.0257 memory: 27035 grad_norm: 3.8374 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7582 loss: 0.7582 2022/08/09 13:07:52 - mmengine - INFO - Epoch(train) [38][560/1879] lr: 2.0000e-03 eta: 6:52:01 time: 1.0353 data_time: 0.0252 memory: 27035 grad_norm: 3.9491 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8826 loss: 0.8826 2022/08/09 13:08:13 - mmengine - INFO - Epoch(train) [38][580/1879] lr: 2.0000e-03 eta: 6:51:40 time: 1.0315 data_time: 0.0268 memory: 27035 grad_norm: 3.9817 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8041 loss: 0.8041 2022/08/09 13:08:34 - mmengine - INFO - Epoch(train) [38][600/1879] lr: 2.0000e-03 eta: 6:51:19 time: 1.0369 data_time: 0.0318 memory: 27035 grad_norm: 4.0455 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8387 loss: 0.8387 2022/08/09 13:08:54 - mmengine - INFO - Epoch(train) [38][620/1879] lr: 2.0000e-03 eta: 6:50:58 time: 1.0298 data_time: 0.0244 memory: 27035 grad_norm: 3.8897 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7071 loss: 0.7071 2022/08/09 13:09:15 - mmengine - INFO - Epoch(train) [38][640/1879] lr: 2.0000e-03 eta: 6:50:38 time: 1.0288 data_time: 0.0247 memory: 27035 grad_norm: 4.0868 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9613 loss: 0.9613 2022/08/09 13:09:36 - mmengine - INFO - Epoch(train) [38][660/1879] lr: 2.0000e-03 eta: 6:50:17 time: 1.0311 data_time: 0.0259 memory: 27035 grad_norm: 3.9222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7881 loss: 0.7881 2022/08/09 13:09:56 - mmengine - INFO - Epoch(train) [38][680/1879] lr: 2.0000e-03 eta: 6:49:56 time: 1.0345 data_time: 0.0230 memory: 27035 grad_norm: 3.9979 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7928 loss: 0.7928 2022/08/09 13:10:17 - mmengine - INFO - Epoch(train) [38][700/1879] lr: 2.0000e-03 eta: 6:49:35 time: 1.0308 data_time: 0.0262 memory: 27035 grad_norm: 3.8374 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8159 loss: 0.8159 2022/08/09 13:10:38 - mmengine - INFO - Epoch(train) [38][720/1879] lr: 2.0000e-03 eta: 6:49:15 time: 1.0341 data_time: 0.0254 memory: 27035 grad_norm: 4.0051 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7068 loss: 0.7068 2022/08/09 13:10:58 - mmengine - INFO - Epoch(train) [38][740/1879] lr: 2.0000e-03 eta: 6:48:54 time: 1.0355 data_time: 0.0312 memory: 27035 grad_norm: 3.9470 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8091 loss: 0.8091 2022/08/09 13:11:19 - mmengine - INFO - Epoch(train) [38][760/1879] lr: 2.0000e-03 eta: 6:48:33 time: 1.0314 data_time: 0.0241 memory: 27035 grad_norm: 3.9614 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8748 loss: 0.8748 2022/08/09 13:11:40 - mmengine - INFO - Epoch(train) [38][780/1879] lr: 2.0000e-03 eta: 6:48:13 time: 1.0310 data_time: 0.0243 memory: 27035 grad_norm: 3.9752 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7886 loss: 0.7886 2022/08/09 13:12:00 - mmengine - INFO - Epoch(train) [38][800/1879] lr: 2.0000e-03 eta: 6:47:52 time: 1.0358 data_time: 0.0314 memory: 27035 grad_norm: 4.0252 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7456 loss: 0.7456 2022/08/09 13:12:21 - mmengine - INFO - Epoch(train) [38][820/1879] lr: 2.0000e-03 eta: 6:47:31 time: 1.0319 data_time: 0.0250 memory: 27035 grad_norm: 3.9372 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7351 loss: 0.7351 2022/08/09 13:12:42 - mmengine - INFO - Epoch(train) [38][840/1879] lr: 2.0000e-03 eta: 6:47:10 time: 1.0332 data_time: 0.0254 memory: 27035 grad_norm: 3.7964 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7647 loss: 0.7647 2022/08/09 13:13:02 - mmengine - INFO - Epoch(train) [38][860/1879] lr: 2.0000e-03 eta: 6:46:50 time: 1.0297 data_time: 0.0255 memory: 27035 grad_norm: 3.9158 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6681 loss: 0.6681 2022/08/09 13:13:23 - mmengine - INFO - Epoch(train) [38][880/1879] lr: 2.0000e-03 eta: 6:46:29 time: 1.0307 data_time: 0.0255 memory: 27035 grad_norm: 3.9935 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7886 loss: 0.7886 2022/08/09 13:13:44 - mmengine - INFO - Epoch(train) [38][900/1879] lr: 2.0000e-03 eta: 6:46:08 time: 1.0298 data_time: 0.0255 memory: 27035 grad_norm: 3.8931 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7868 loss: 0.7868 2022/08/09 13:14:04 - mmengine - INFO - Epoch(train) [38][920/1879] lr: 2.0000e-03 eta: 6:45:47 time: 1.0312 data_time: 0.0253 memory: 27035 grad_norm: 3.9888 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7732 loss: 0.7732 2022/08/09 13:14:25 - mmengine - INFO - Epoch(train) [38][940/1879] lr: 2.0000e-03 eta: 6:45:27 time: 1.0328 data_time: 0.0247 memory: 27035 grad_norm: 3.9500 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7624 loss: 0.7624 2022/08/09 13:14:45 - mmengine - INFO - Epoch(train) [38][960/1879] lr: 2.0000e-03 eta: 6:45:06 time: 1.0322 data_time: 0.0249 memory: 27035 grad_norm: 4.0405 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8818 loss: 0.8818 2022/08/09 13:15:06 - mmengine - INFO - Epoch(train) [38][980/1879] lr: 2.0000e-03 eta: 6:44:45 time: 1.0349 data_time: 0.0244 memory: 27035 grad_norm: 3.9263 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8186 loss: 0.8186 2022/08/09 13:15:28 - mmengine - INFO - Epoch(train) [38][1000/1879] lr: 2.0000e-03 eta: 6:44:25 time: 1.0708 data_time: 0.0675 memory: 27035 grad_norm: 4.0586 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.8623 loss: 0.8623 2022/08/09 13:15:48 - mmengine - INFO - Epoch(train) [38][1020/1879] lr: 2.0000e-03 eta: 6:44:04 time: 1.0330 data_time: 0.0260 memory: 27035 grad_norm: 3.9512 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8357 loss: 0.8357 2022/08/09 13:16:09 - mmengine - INFO - Epoch(train) [38][1040/1879] lr: 2.0000e-03 eta: 6:43:43 time: 1.0370 data_time: 0.0263 memory: 27035 grad_norm: 3.9964 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7877 loss: 0.7877 2022/08/09 13:16:30 - mmengine - INFO - Epoch(train) [38][1060/1879] lr: 2.0000e-03 eta: 6:43:22 time: 1.0301 data_time: 0.0256 memory: 27035 grad_norm: 3.9051 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7959 loss: 0.7959 2022/08/09 13:16:50 - mmengine - INFO - Epoch(train) [38][1080/1879] lr: 2.0000e-03 eta: 6:43:02 time: 1.0415 data_time: 0.0327 memory: 27035 grad_norm: 4.0625 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9195 loss: 0.9195 2022/08/09 13:17:11 - mmengine - INFO - Epoch(train) [38][1100/1879] lr: 2.0000e-03 eta: 6:42:41 time: 1.0299 data_time: 0.0266 memory: 27035 grad_norm: 3.9369 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8562 loss: 0.8562 2022/08/09 13:17:32 - mmengine - INFO - Epoch(train) [38][1120/1879] lr: 2.0000e-03 eta: 6:42:20 time: 1.0432 data_time: 0.0377 memory: 27035 grad_norm: 4.0022 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7050 loss: 0.7050 2022/08/09 13:17:53 - mmengine - INFO - Epoch(train) [38][1140/1879] lr: 2.0000e-03 eta: 6:42:00 time: 1.0320 data_time: 0.0257 memory: 27035 grad_norm: 3.8387 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8174 loss: 0.8174 2022/08/09 13:18:13 - mmengine - INFO - Epoch(train) [38][1160/1879] lr: 2.0000e-03 eta: 6:41:39 time: 1.0343 data_time: 0.0251 memory: 27035 grad_norm: 3.9757 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7845 loss: 0.7845 2022/08/09 13:18:34 - mmengine - INFO - Epoch(train) [38][1180/1879] lr: 2.0000e-03 eta: 6:41:18 time: 1.0289 data_time: 0.0262 memory: 27035 grad_norm: 4.0631 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8748 loss: 0.8748 2022/08/09 13:18:55 - mmengine - INFO - Epoch(train) [38][1200/1879] lr: 2.0000e-03 eta: 6:40:57 time: 1.0304 data_time: 0.0250 memory: 27035 grad_norm: 3.8491 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8389 loss: 0.8389 2022/08/09 13:19:15 - mmengine - INFO - Epoch(train) [38][1220/1879] lr: 2.0000e-03 eta: 6:40:37 time: 1.0337 data_time: 0.0254 memory: 27035 grad_norm: 4.1006 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7837 loss: 0.7837 2022/08/09 13:19:36 - mmengine - INFO - Epoch(train) [38][1240/1879] lr: 2.0000e-03 eta: 6:40:16 time: 1.0339 data_time: 0.0305 memory: 27035 grad_norm: 4.0436 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9054 loss: 0.9054 2022/08/09 13:19:57 - mmengine - INFO - Epoch(train) [38][1260/1879] lr: 2.0000e-03 eta: 6:39:55 time: 1.0360 data_time: 0.0328 memory: 27035 grad_norm: 3.9780 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8596 loss: 0.8596 2022/08/09 13:20:17 - mmengine - INFO - Epoch(train) [38][1280/1879] lr: 2.0000e-03 eta: 6:39:34 time: 1.0360 data_time: 0.0257 memory: 27035 grad_norm: 4.0137 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7384 loss: 0.7384 2022/08/09 13:20:38 - mmengine - INFO - Epoch(train) [38][1300/1879] lr: 2.0000e-03 eta: 6:39:14 time: 1.0319 data_time: 0.0251 memory: 27035 grad_norm: 3.9521 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8211 loss: 0.8211 2022/08/09 13:20:59 - mmengine - INFO - Epoch(train) [38][1320/1879] lr: 2.0000e-03 eta: 6:38:53 time: 1.0357 data_time: 0.0264 memory: 27035 grad_norm: 4.1030 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0263 loss: 1.0263 2022/08/09 13:21:19 - mmengine - INFO - Epoch(train) [38][1340/1879] lr: 2.0000e-03 eta: 6:38:32 time: 1.0288 data_time: 0.0253 memory: 27035 grad_norm: 3.9249 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6956 loss: 0.6956 2022/08/09 13:21:40 - mmengine - INFO - Epoch(train) [38][1360/1879] lr: 2.0000e-03 eta: 6:38:12 time: 1.0291 data_time: 0.0248 memory: 27035 grad_norm: 3.9955 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7919 loss: 0.7919 2022/08/09 13:22:01 - mmengine - INFO - Epoch(train) [38][1380/1879] lr: 2.0000e-03 eta: 6:37:51 time: 1.0332 data_time: 0.0273 memory: 27035 grad_norm: 3.9338 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8149 loss: 0.8149 2022/08/09 13:22:21 - mmengine - INFO - Epoch(train) [38][1400/1879] lr: 2.0000e-03 eta: 6:37:30 time: 1.0302 data_time: 0.0250 memory: 27035 grad_norm: 3.9625 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6874 loss: 0.6874 2022/08/09 13:22:42 - mmengine - INFO - Epoch(train) [38][1420/1879] lr: 2.0000e-03 eta: 6:37:09 time: 1.0339 data_time: 0.0262 memory: 27035 grad_norm: 3.9730 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8861 loss: 0.8861 2022/08/09 13:23:03 - mmengine - INFO - Epoch(train) [38][1440/1879] lr: 2.0000e-03 eta: 6:36:49 time: 1.0322 data_time: 0.0249 memory: 27035 grad_norm: 4.0141 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8366 loss: 0.8366 2022/08/09 13:23:23 - mmengine - INFO - Epoch(train) [38][1460/1879] lr: 2.0000e-03 eta: 6:36:28 time: 1.0303 data_time: 0.0254 memory: 27035 grad_norm: 3.8933 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7869 loss: 0.7869 2022/08/09 13:23:41 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 13:23:44 - mmengine - INFO - Epoch(train) [38][1480/1879] lr: 2.0000e-03 eta: 6:36:07 time: 1.0334 data_time: 0.0257 memory: 27035 grad_norm: 3.9159 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7314 loss: 0.7314 2022/08/09 13:24:04 - mmengine - INFO - Epoch(train) [38][1500/1879] lr: 2.0000e-03 eta: 6:35:46 time: 1.0293 data_time: 0.0252 memory: 27035 grad_norm: 3.9328 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7560 loss: 0.7560 2022/08/09 13:24:25 - mmengine - INFO - Epoch(train) [38][1520/1879] lr: 2.0000e-03 eta: 6:35:26 time: 1.0350 data_time: 0.0247 memory: 27035 grad_norm: 3.8638 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8135 loss: 0.8135 2022/08/09 13:24:46 - mmengine - INFO - Epoch(train) [38][1540/1879] lr: 2.0000e-03 eta: 6:35:05 time: 1.0294 data_time: 0.0264 memory: 27035 grad_norm: 3.8122 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7333 loss: 0.7333 2022/08/09 13:25:06 - mmengine - INFO - Epoch(train) [38][1560/1879] lr: 2.0000e-03 eta: 6:34:44 time: 1.0378 data_time: 0.0322 memory: 27035 grad_norm: 4.0253 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8083 loss: 0.8083 2022/08/09 13:25:28 - mmengine - INFO - Epoch(train) [38][1580/1879] lr: 2.0000e-03 eta: 6:34:24 time: 1.0593 data_time: 0.0563 memory: 27035 grad_norm: 3.8377 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8193 loss: 0.8193 2022/08/09 13:25:48 - mmengine - INFO - Epoch(train) [38][1600/1879] lr: 2.0000e-03 eta: 6:34:03 time: 1.0292 data_time: 0.0250 memory: 27035 grad_norm: 4.0188 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9168 loss: 0.9168 2022/08/09 13:26:09 - mmengine - INFO - Epoch(train) [38][1620/1879] lr: 2.0000e-03 eta: 6:33:42 time: 1.0320 data_time: 0.0253 memory: 27035 grad_norm: 3.9361 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9111 loss: 0.9111 2022/08/09 13:26:30 - mmengine - INFO - Epoch(train) [38][1640/1879] lr: 2.0000e-03 eta: 6:33:21 time: 1.0302 data_time: 0.0249 memory: 27035 grad_norm: 3.9292 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9158 loss: 0.9158 2022/08/09 13:26:50 - mmengine - INFO - Epoch(train) [38][1660/1879] lr: 2.0000e-03 eta: 6:33:01 time: 1.0295 data_time: 0.0250 memory: 27035 grad_norm: 3.8244 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7100 loss: 0.7100 2022/08/09 13:27:11 - mmengine - INFO - Epoch(train) [38][1680/1879] lr: 2.0000e-03 eta: 6:32:40 time: 1.0386 data_time: 0.0354 memory: 27035 grad_norm: 3.9653 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8940 loss: 0.8940 2022/08/09 13:27:32 - mmengine - INFO - Epoch(train) [38][1700/1879] lr: 2.0000e-03 eta: 6:32:19 time: 1.0452 data_time: 0.0389 memory: 27035 grad_norm: 3.9947 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8501 loss: 0.8501 2022/08/09 13:27:52 - mmengine - INFO - Epoch(train) [38][1720/1879] lr: 2.0000e-03 eta: 6:31:58 time: 1.0305 data_time: 0.0252 memory: 27035 grad_norm: 3.9670 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7521 loss: 0.7521 2022/08/09 13:28:13 - mmengine - INFO - Epoch(train) [38][1740/1879] lr: 2.0000e-03 eta: 6:31:38 time: 1.0290 data_time: 0.0254 memory: 27035 grad_norm: 4.0258 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7920 loss: 0.7920 2022/08/09 13:28:34 - mmengine - INFO - Epoch(train) [38][1760/1879] lr: 2.0000e-03 eta: 6:31:17 time: 1.0318 data_time: 0.0254 memory: 27035 grad_norm: 4.0235 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7819 loss: 0.7819 2022/08/09 13:28:54 - mmengine - INFO - Epoch(train) [38][1780/1879] lr: 2.0000e-03 eta: 6:30:56 time: 1.0301 data_time: 0.0251 memory: 27035 grad_norm: 4.0076 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8468 loss: 0.8468 2022/08/09 13:29:15 - mmengine - INFO - Epoch(train) [38][1800/1879] lr: 2.0000e-03 eta: 6:30:35 time: 1.0317 data_time: 0.0247 memory: 27035 grad_norm: 3.9639 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7277 loss: 0.7277 2022/08/09 13:29:36 - mmengine - INFO - Epoch(train) [38][1820/1879] lr: 2.0000e-03 eta: 6:30:15 time: 1.0299 data_time: 0.0261 memory: 27035 grad_norm: 3.9849 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8926 loss: 0.8926 2022/08/09 13:29:56 - mmengine - INFO - Epoch(train) [38][1840/1879] lr: 2.0000e-03 eta: 6:29:54 time: 1.0285 data_time: 0.0248 memory: 27035 grad_norm: 4.0513 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8842 loss: 0.8842 2022/08/09 13:30:17 - mmengine - INFO - Epoch(train) [38][1860/1879] lr: 2.0000e-03 eta: 6:29:33 time: 1.0416 data_time: 0.0283 memory: 27035 grad_norm: 3.9306 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7962 loss: 0.7962 2022/08/09 13:30:36 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 13:30:36 - mmengine - INFO - Epoch(train) [38][1879/1879] lr: 2.0000e-03 eta: 6:29:33 time: 1.0174 data_time: 0.0234 memory: 27035 grad_norm: 4.0971 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.9084 loss: 0.9084 2022/08/09 13:30:52 - mmengine - INFO - Epoch(val) [38][20/155] eta: 0:01:45 time: 0.7798 data_time: 0.5079 memory: 3270 2022/08/09 13:31:02 - mmengine - INFO - Epoch(val) [38][40/155] eta: 0:00:56 time: 0.4887 data_time: 0.2185 memory: 3270 2022/08/09 13:31:15 - mmengine - INFO - Epoch(val) [38][60/155] eta: 0:01:02 time: 0.6561 data_time: 0.3858 memory: 3270 2022/08/09 13:31:26 - mmengine - INFO - Epoch(val) [38][80/155] eta: 0:00:40 time: 0.5410 data_time: 0.2704 memory: 3270 2022/08/09 13:31:39 - mmengine - INFO - Epoch(val) [38][100/155] eta: 0:00:37 time: 0.6801 data_time: 0.4119 memory: 3270 2022/08/09 13:31:50 - mmengine - INFO - Epoch(val) [38][120/155] eta: 0:00:18 time: 0.5337 data_time: 0.2630 memory: 3270 2022/08/09 13:32:04 - mmengine - INFO - Epoch(val) [38][140/155] eta: 0:00:10 time: 0.7245 data_time: 0.4550 memory: 3270 2022/08/09 13:32:13 - mmengine - INFO - Epoch(val) [38][155/155] acc/top1: 0.7282 acc/top5: 0.9100 acc/mean1: 0.7282 2022/08/09 13:32:39 - mmengine - INFO - Epoch(train) [39][20/1879] lr: 2.0000e-03 eta: 6:28:48 time: 1.3157 data_time: 0.2479 memory: 27035 grad_norm: 3.9149 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8047 loss: 0.8047 2022/08/09 13:33:00 - mmengine - INFO - Epoch(train) [39][40/1879] lr: 2.0000e-03 eta: 6:28:28 time: 1.0311 data_time: 0.0256 memory: 27035 grad_norm: 3.9330 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7678 loss: 0.7678 2022/08/09 13:33:20 - mmengine - INFO - Epoch(train) [39][60/1879] lr: 2.0000e-03 eta: 6:28:07 time: 1.0281 data_time: 0.0259 memory: 27035 grad_norm: 3.9575 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8910 loss: 0.8910 2022/08/09 13:33:41 - mmengine - INFO - Epoch(train) [39][80/1879] lr: 2.0000e-03 eta: 6:27:46 time: 1.0308 data_time: 0.0259 memory: 27035 grad_norm: 3.8698 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8499 loss: 0.8499 2022/08/09 13:34:02 - mmengine - INFO - Epoch(train) [39][100/1879] lr: 2.0000e-03 eta: 6:27:25 time: 1.0287 data_time: 0.0257 memory: 27035 grad_norm: 3.9415 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7847 loss: 0.7847 2022/08/09 13:34:22 - mmengine - INFO - Epoch(train) [39][120/1879] lr: 2.0000e-03 eta: 6:27:05 time: 1.0329 data_time: 0.0250 memory: 27035 grad_norm: 4.0134 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7356 loss: 0.7356 2022/08/09 13:34:43 - mmengine - INFO - Epoch(train) [39][140/1879] lr: 2.0000e-03 eta: 6:26:44 time: 1.0330 data_time: 0.0251 memory: 27035 grad_norm: 3.9894 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7617 loss: 0.7617 2022/08/09 13:35:04 - mmengine - INFO - Epoch(train) [39][160/1879] lr: 2.0000e-03 eta: 6:26:23 time: 1.0316 data_time: 0.0264 memory: 27035 grad_norm: 3.7742 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6881 loss: 0.6881 2022/08/09 13:35:26 - mmengine - INFO - Epoch(train) [39][180/1879] lr: 2.0000e-03 eta: 6:26:03 time: 1.1294 data_time: 0.1192 memory: 27035 grad_norm: 3.9384 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7672 loss: 0.7672 2022/08/09 13:35:47 - mmengine - INFO - Epoch(train) [39][200/1879] lr: 2.0000e-03 eta: 6:25:42 time: 1.0276 data_time: 0.0251 memory: 27035 grad_norm: 3.8743 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8560 loss: 0.8560 2022/08/09 13:36:07 - mmengine - INFO - Epoch(train) [39][220/1879] lr: 2.0000e-03 eta: 6:25:22 time: 1.0287 data_time: 0.0252 memory: 27035 grad_norm: 4.0080 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8609 loss: 0.8609 2022/08/09 13:36:28 - mmengine - INFO - Epoch(train) [39][240/1879] lr: 2.0000e-03 eta: 6:25:01 time: 1.0312 data_time: 0.0249 memory: 27035 grad_norm: 3.9549 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8042 loss: 0.8042 2022/08/09 13:36:49 - mmengine - INFO - Epoch(train) [39][260/1879] lr: 2.0000e-03 eta: 6:24:40 time: 1.0287 data_time: 0.0252 memory: 27035 grad_norm: 4.0059 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8710 loss: 0.8710 2022/08/09 13:37:09 - mmengine - INFO - Epoch(train) [39][280/1879] lr: 2.0000e-03 eta: 6:24:19 time: 1.0289 data_time: 0.0249 memory: 27035 grad_norm: 4.0531 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9953 loss: 0.9953 2022/08/09 13:37:30 - mmengine - INFO - Epoch(train) [39][300/1879] lr: 2.0000e-03 eta: 6:23:59 time: 1.0497 data_time: 0.0259 memory: 27035 grad_norm: 3.9807 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8544 loss: 0.8544 2022/08/09 13:37:51 - mmengine - INFO - Epoch(train) [39][320/1879] lr: 2.0000e-03 eta: 6:23:38 time: 1.0354 data_time: 0.0278 memory: 27035 grad_norm: 3.9667 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8003 loss: 0.8003 2022/08/09 13:38:12 - mmengine - INFO - Epoch(train) [39][340/1879] lr: 2.0000e-03 eta: 6:23:17 time: 1.0294 data_time: 0.0251 memory: 27035 grad_norm: 3.7750 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.6924 loss: 0.6924 2022/08/09 13:38:32 - mmengine - INFO - Epoch(train) [39][360/1879] lr: 2.0000e-03 eta: 6:22:57 time: 1.0271 data_time: 0.0256 memory: 27035 grad_norm: 4.0146 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8097 loss: 0.8097 2022/08/09 13:38:53 - mmengine - INFO - Epoch(train) [39][380/1879] lr: 2.0000e-03 eta: 6:22:36 time: 1.0309 data_time: 0.0252 memory: 27035 grad_norm: 3.9495 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8368 loss: 0.8368 2022/08/09 13:39:13 - mmengine - INFO - Epoch(train) [39][400/1879] lr: 2.0000e-03 eta: 6:22:15 time: 1.0279 data_time: 0.0256 memory: 27035 grad_norm: 3.9935 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6525 loss: 0.6525 2022/08/09 13:39:34 - mmengine - INFO - Epoch(train) [39][420/1879] lr: 2.0000e-03 eta: 6:21:54 time: 1.0280 data_time: 0.0247 memory: 27035 grad_norm: 3.8710 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8593 loss: 0.8593 2022/08/09 13:39:54 - mmengine - INFO - Epoch(train) [39][440/1879] lr: 2.0000e-03 eta: 6:21:34 time: 1.0303 data_time: 0.0267 memory: 27035 grad_norm: 4.0898 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8357 loss: 0.8357 2022/08/09 13:40:15 - mmengine - INFO - Epoch(train) [39][460/1879] lr: 2.0000e-03 eta: 6:21:13 time: 1.0339 data_time: 0.0255 memory: 27035 grad_norm: 3.8729 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6977 loss: 0.6977 2022/08/09 13:40:36 - mmengine - INFO - Epoch(train) [39][480/1879] lr: 2.0000e-03 eta: 6:20:52 time: 1.0306 data_time: 0.0245 memory: 27035 grad_norm: 3.9186 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7853 loss: 0.7853 2022/08/09 13:40:56 - mmengine - INFO - Epoch(train) [39][500/1879] lr: 2.0000e-03 eta: 6:20:31 time: 1.0325 data_time: 0.0257 memory: 27035 grad_norm: 3.7540 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8461 loss: 0.8461 2022/08/09 13:41:17 - mmengine - INFO - Epoch(train) [39][520/1879] lr: 2.0000e-03 eta: 6:20:11 time: 1.0310 data_time: 0.0243 memory: 27035 grad_norm: 3.9240 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6526 loss: 0.6526 2022/08/09 13:41:38 - mmengine - INFO - Epoch(train) [39][540/1879] lr: 2.0000e-03 eta: 6:19:50 time: 1.0285 data_time: 0.0245 memory: 27035 grad_norm: 4.0430 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7984 loss: 0.7984 2022/08/09 13:41:58 - mmengine - INFO - Epoch(train) [39][560/1879] lr: 2.0000e-03 eta: 6:19:29 time: 1.0349 data_time: 0.0246 memory: 27035 grad_norm: 3.9649 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7747 loss: 0.7747 2022/08/09 13:42:19 - mmengine - INFO - Epoch(train) [39][580/1879] lr: 2.0000e-03 eta: 6:19:09 time: 1.0546 data_time: 0.0506 memory: 27035 grad_norm: 3.8463 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6825 loss: 0.6825 2022/08/09 13:42:38 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 13:42:40 - mmengine - INFO - Epoch(train) [39][600/1879] lr: 2.0000e-03 eta: 6:18:48 time: 1.0330 data_time: 0.0256 memory: 27035 grad_norm: 3.7710 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7850 loss: 0.7850 2022/08/09 13:43:01 - mmengine - INFO - Epoch(train) [39][620/1879] lr: 2.0000e-03 eta: 6:18:27 time: 1.0294 data_time: 0.0242 memory: 27035 grad_norm: 3.9665 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8112 loss: 0.8112 2022/08/09 13:43:21 - mmengine - INFO - Epoch(train) [39][640/1879] lr: 2.0000e-03 eta: 6:18:06 time: 1.0313 data_time: 0.0267 memory: 27035 grad_norm: 4.0242 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9071 loss: 0.9071 2022/08/09 13:43:42 - mmengine - INFO - Epoch(train) [39][660/1879] lr: 2.0000e-03 eta: 6:17:46 time: 1.0329 data_time: 0.0254 memory: 27035 grad_norm: 4.0350 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6581 loss: 0.6581 2022/08/09 13:44:03 - mmengine - INFO - Epoch(train) [39][680/1879] lr: 2.0000e-03 eta: 6:17:25 time: 1.0274 data_time: 0.0246 memory: 27035 grad_norm: 3.9922 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8653 loss: 0.8653 2022/08/09 13:44:23 - mmengine - INFO - Epoch(train) [39][700/1879] lr: 2.0000e-03 eta: 6:17:04 time: 1.0317 data_time: 0.0251 memory: 27035 grad_norm: 3.9466 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8451 loss: 0.8451 2022/08/09 13:44:44 - mmengine - INFO - Epoch(train) [39][720/1879] lr: 2.0000e-03 eta: 6:16:43 time: 1.0296 data_time: 0.0260 memory: 27035 grad_norm: 3.9915 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8980 loss: 0.8980 2022/08/09 13:45:05 - mmengine - INFO - Epoch(train) [39][740/1879] lr: 2.0000e-03 eta: 6:16:23 time: 1.0319 data_time: 0.0245 memory: 27035 grad_norm: 3.8576 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6913 loss: 0.6913 2022/08/09 13:45:27 - mmengine - INFO - Epoch(train) [39][760/1879] lr: 2.0000e-03 eta: 6:16:02 time: 1.1064 data_time: 0.0947 memory: 27035 grad_norm: 3.8740 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8511 loss: 0.8511 2022/08/09 13:45:47 - mmengine - INFO - Epoch(train) [39][780/1879] lr: 2.0000e-03 eta: 6:15:42 time: 1.0318 data_time: 0.0257 memory: 27035 grad_norm: 3.9911 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7106 loss: 0.7106 2022/08/09 13:46:08 - mmengine - INFO - Epoch(train) [39][800/1879] lr: 2.0000e-03 eta: 6:15:21 time: 1.0298 data_time: 0.0250 memory: 27035 grad_norm: 3.9397 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8300 loss: 0.8300 2022/08/09 13:46:28 - mmengine - INFO - Epoch(train) [39][820/1879] lr: 2.0000e-03 eta: 6:15:00 time: 1.0283 data_time: 0.0241 memory: 27035 grad_norm: 3.9200 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7646 loss: 0.7646 2022/08/09 13:46:49 - mmengine - INFO - Epoch(train) [39][840/1879] lr: 2.0000e-03 eta: 6:14:39 time: 1.0297 data_time: 0.0244 memory: 27035 grad_norm: 4.0586 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7816 loss: 0.7816 2022/08/09 13:47:10 - mmengine - INFO - Epoch(train) [39][860/1879] lr: 2.0000e-03 eta: 6:14:19 time: 1.0314 data_time: 0.0235 memory: 27035 grad_norm: 3.8075 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6868 loss: 0.6868 2022/08/09 13:48:44 - mmengine - INFO - Epoch(train) [39][880/1879] lr: 2.0000e-03 eta: 6:14:20 time: 4.6938 data_time: 0.0269 memory: 27035 grad_norm: 3.9842 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8240 loss: 0.8240 2022/08/09 13:49:04 - mmengine - INFO - Epoch(train) [39][900/1879] lr: 2.0000e-03 eta: 6:13:59 time: 1.0315 data_time: 0.0272 memory: 27035 grad_norm: 4.0558 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7906 loss: 0.7906 2022/08/09 13:49:25 - mmengine - INFO - Epoch(train) [39][920/1879] lr: 2.0000e-03 eta: 6:13:38 time: 1.0299 data_time: 0.0260 memory: 27035 grad_norm: 3.9119 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8884 loss: 0.8884 2022/08/09 13:49:45 - mmengine - INFO - Epoch(train) [39][940/1879] lr: 2.0000e-03 eta: 6:13:18 time: 1.0301 data_time: 0.0250 memory: 27035 grad_norm: 4.0637 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7459 loss: 0.7459 2022/08/09 13:50:06 - mmengine - INFO - Epoch(train) [39][960/1879] lr: 2.0000e-03 eta: 6:12:57 time: 1.0294 data_time: 0.0262 memory: 27035 grad_norm: 3.8849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7493 loss: 0.7493 2022/08/09 13:50:28 - mmengine - INFO - Epoch(train) [39][980/1879] lr: 2.0000e-03 eta: 6:12:36 time: 1.0896 data_time: 0.0770 memory: 27035 grad_norm: 3.9857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8799 loss: 0.8799 2022/08/09 13:50:48 - mmengine - INFO - Epoch(train) [39][1000/1879] lr: 2.0000e-03 eta: 6:12:16 time: 1.0322 data_time: 0.0257 memory: 27035 grad_norm: 3.9359 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7265 loss: 0.7265 2022/08/09 13:51:09 - mmengine - INFO - Epoch(train) [39][1020/1879] lr: 2.0000e-03 eta: 6:11:55 time: 1.0308 data_time: 0.0249 memory: 27035 grad_norm: 4.0179 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7917 loss: 0.7917 2022/08/09 13:51:30 - mmengine - INFO - Epoch(train) [39][1040/1879] lr: 2.0000e-03 eta: 6:11:34 time: 1.0336 data_time: 0.0250 memory: 27035 grad_norm: 4.0319 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8435 loss: 0.8435 2022/08/09 13:51:50 - mmengine - INFO - Epoch(train) [39][1060/1879] lr: 2.0000e-03 eta: 6:11:13 time: 1.0283 data_time: 0.0245 memory: 27035 grad_norm: 3.9538 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7788 loss: 0.7788 2022/08/09 13:52:11 - mmengine - INFO - Epoch(train) [39][1080/1879] lr: 2.0000e-03 eta: 6:10:53 time: 1.0356 data_time: 0.0297 memory: 27035 grad_norm: 4.0193 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8009 loss: 0.8009 2022/08/09 13:52:32 - mmengine - INFO - Epoch(train) [39][1100/1879] lr: 2.0000e-03 eta: 6:10:32 time: 1.0307 data_time: 0.0246 memory: 27035 grad_norm: 4.0411 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8792 loss: 0.8792 2022/08/09 13:52:52 - mmengine - INFO - Epoch(train) [39][1120/1879] lr: 2.0000e-03 eta: 6:10:11 time: 1.0297 data_time: 0.0256 memory: 27035 grad_norm: 4.1380 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7374 loss: 0.7374 2022/08/09 13:53:13 - mmengine - INFO - Epoch(train) [39][1140/1879] lr: 2.0000e-03 eta: 6:09:50 time: 1.0327 data_time: 0.0242 memory: 27035 grad_norm: 3.9568 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8188 loss: 0.8188 2022/08/09 13:53:33 - mmengine - INFO - Epoch(train) [39][1160/1879] lr: 2.0000e-03 eta: 6:09:30 time: 1.0282 data_time: 0.0241 memory: 27035 grad_norm: 4.0737 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7009 loss: 0.7009 2022/08/09 13:53:54 - mmengine - INFO - Epoch(train) [39][1180/1879] lr: 2.0000e-03 eta: 6:09:09 time: 1.0282 data_time: 0.0241 memory: 27035 grad_norm: 3.9085 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8429 loss: 0.8429 2022/08/09 13:54:15 - mmengine - INFO - Epoch(train) [39][1200/1879] lr: 2.0000e-03 eta: 6:08:48 time: 1.0281 data_time: 0.0251 memory: 27035 grad_norm: 3.9366 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8572 loss: 0.8572 2022/08/09 13:54:35 - mmengine - INFO - Epoch(train) [39][1220/1879] lr: 2.0000e-03 eta: 6:08:27 time: 1.0323 data_time: 0.0291 memory: 27035 grad_norm: 4.1674 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7160 loss: 0.7160 2022/08/09 13:54:56 - mmengine - INFO - Epoch(train) [39][1240/1879] lr: 2.0000e-03 eta: 6:08:06 time: 1.0282 data_time: 0.0257 memory: 27035 grad_norm: 3.9955 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8292 loss: 0.8292 2022/08/09 13:55:17 - mmengine - INFO - Epoch(train) [39][1260/1879] lr: 2.0000e-03 eta: 6:07:46 time: 1.0332 data_time: 0.0263 memory: 27035 grad_norm: 4.0481 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8389 loss: 0.8389 2022/08/09 13:55:37 - mmengine - INFO - Epoch(train) [39][1280/1879] lr: 2.0000e-03 eta: 6:07:25 time: 1.0322 data_time: 0.0261 memory: 27035 grad_norm: 3.7984 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6727 loss: 0.6727 2022/08/09 13:55:58 - mmengine - INFO - Epoch(train) [39][1300/1879] lr: 2.0000e-03 eta: 6:07:04 time: 1.0296 data_time: 0.0254 memory: 27035 grad_norm: 3.9744 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8611 loss: 0.8611 2022/08/09 13:56:18 - mmengine - INFO - Epoch(train) [39][1320/1879] lr: 2.0000e-03 eta: 6:06:43 time: 1.0330 data_time: 0.0259 memory: 27035 grad_norm: 4.1103 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9269 loss: 0.9269 2022/08/09 13:56:39 - mmengine - INFO - Epoch(train) [39][1340/1879] lr: 2.0000e-03 eta: 6:06:23 time: 1.0314 data_time: 0.0252 memory: 27035 grad_norm: 4.0692 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8673 loss: 0.8673 2022/08/09 13:57:00 - mmengine - INFO - Epoch(train) [39][1360/1879] lr: 2.0000e-03 eta: 6:06:02 time: 1.0327 data_time: 0.0251 memory: 27035 grad_norm: 4.0016 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9254 loss: 0.9254 2022/08/09 13:57:20 - mmengine - INFO - Epoch(train) [39][1380/1879] lr: 2.0000e-03 eta: 6:05:41 time: 1.0365 data_time: 0.0290 memory: 27035 grad_norm: 3.9120 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7406 loss: 0.7406 2022/08/09 13:57:41 - mmengine - INFO - Epoch(train) [39][1400/1879] lr: 2.0000e-03 eta: 6:05:20 time: 1.0295 data_time: 0.0261 memory: 27035 grad_norm: 4.1051 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8327 loss: 0.8327 2022/08/09 13:58:02 - mmengine - INFO - Epoch(train) [39][1420/1879] lr: 2.0000e-03 eta: 6:05:00 time: 1.0361 data_time: 0.0318 memory: 27035 grad_norm: 4.0795 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7925 loss: 0.7925 2022/08/09 13:58:22 - mmengine - INFO - Epoch(train) [39][1440/1879] lr: 2.0000e-03 eta: 6:04:39 time: 1.0329 data_time: 0.0268 memory: 27035 grad_norm: 4.1591 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7455 loss: 0.7455 2022/08/09 13:58:43 - mmengine - INFO - Epoch(train) [39][1460/1879] lr: 2.0000e-03 eta: 6:04:18 time: 1.0294 data_time: 0.0257 memory: 27035 grad_norm: 4.0423 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7863 loss: 0.7863 2022/08/09 13:59:04 - mmengine - INFO - Epoch(train) [39][1480/1879] lr: 2.0000e-03 eta: 6:03:57 time: 1.0309 data_time: 0.0267 memory: 27035 grad_norm: 4.0836 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6832 loss: 0.6832 2022/08/09 13:59:24 - mmengine - INFO - Epoch(train) [39][1500/1879] lr: 2.0000e-03 eta: 6:03:37 time: 1.0386 data_time: 0.0331 memory: 27035 grad_norm: 3.9377 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7416 loss: 0.7416 2022/08/09 13:59:45 - mmengine - INFO - Epoch(train) [39][1520/1879] lr: 2.0000e-03 eta: 6:03:16 time: 1.0280 data_time: 0.0249 memory: 27035 grad_norm: 4.1157 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7485 loss: 0.7485 2022/08/09 14:00:06 - mmengine - INFO - Epoch(train) [39][1540/1879] lr: 2.0000e-03 eta: 6:02:55 time: 1.0303 data_time: 0.0251 memory: 27035 grad_norm: 4.1202 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7359 loss: 0.7359 2022/08/09 14:00:28 - mmengine - INFO - Epoch(train) [39][1560/1879] lr: 2.0000e-03 eta: 6:02:35 time: 1.1024 data_time: 0.0948 memory: 27035 grad_norm: 4.0918 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8861 loss: 0.8861 2022/08/09 14:00:48 - mmengine - INFO - Epoch(train) [39][1580/1879] lr: 2.0000e-03 eta: 6:02:14 time: 1.0353 data_time: 0.0261 memory: 27035 grad_norm: 4.0356 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8470 loss: 0.8470 2022/08/09 14:01:07 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 14:01:09 - mmengine - INFO - Epoch(train) [39][1600/1879] lr: 2.0000e-03 eta: 6:01:53 time: 1.0304 data_time: 0.0248 memory: 27035 grad_norm: 3.9588 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7758 loss: 0.7758 2022/08/09 14:01:30 - mmengine - INFO - Epoch(train) [39][1620/1879] lr: 2.0000e-03 eta: 6:01:32 time: 1.0363 data_time: 0.0249 memory: 27035 grad_norm: 3.9145 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9227 loss: 0.9227 2022/08/09 14:01:50 - mmengine - INFO - Epoch(train) [39][1640/1879] lr: 2.0000e-03 eta: 6:01:12 time: 1.0282 data_time: 0.0239 memory: 27035 grad_norm: 4.0748 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7642 loss: 0.7642 2022/08/09 14:02:11 - mmengine - INFO - Epoch(train) [39][1660/1879] lr: 2.0000e-03 eta: 6:00:51 time: 1.0330 data_time: 0.0246 memory: 27035 grad_norm: 3.8533 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7216 loss: 0.7216 2022/08/09 14:02:32 - mmengine - INFO - Epoch(train) [39][1680/1879] lr: 2.0000e-03 eta: 6:00:30 time: 1.0330 data_time: 0.0251 memory: 27035 grad_norm: 4.3422 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8800 loss: 0.8800 2022/08/09 14:02:52 - mmengine - INFO - Epoch(train) [39][1700/1879] lr: 2.0000e-03 eta: 6:00:09 time: 1.0318 data_time: 0.0248 memory: 27035 grad_norm: 4.0187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7184 loss: 0.7184 2022/08/09 14:03:13 - mmengine - INFO - Epoch(train) [39][1720/1879] lr: 2.0000e-03 eta: 5:59:49 time: 1.0352 data_time: 0.0248 memory: 27035 grad_norm: 3.9979 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7872 loss: 0.7872 2022/08/09 14:03:34 - mmengine - INFO - Epoch(train) [39][1740/1879] lr: 2.0000e-03 eta: 5:59:28 time: 1.0291 data_time: 0.0235 memory: 27035 grad_norm: 3.9544 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6659 loss: 0.6659 2022/08/09 14:03:55 - mmengine - INFO - Epoch(train) [39][1760/1879] lr: 2.0000e-03 eta: 5:59:07 time: 1.0359 data_time: 0.0269 memory: 27035 grad_norm: 3.9408 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7206 loss: 0.7206 2022/08/09 14:04:15 - mmengine - INFO - Epoch(train) [39][1780/1879] lr: 2.0000e-03 eta: 5:58:47 time: 1.0425 data_time: 0.0316 memory: 27035 grad_norm: 4.0019 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8458 loss: 0.8458 2022/08/09 14:04:36 - mmengine - INFO - Epoch(train) [39][1800/1879] lr: 2.0000e-03 eta: 5:58:26 time: 1.0294 data_time: 0.0246 memory: 27035 grad_norm: 4.1011 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7448 loss: 0.7448 2022/08/09 14:04:56 - mmengine - INFO - Epoch(train) [39][1820/1879] lr: 2.0000e-03 eta: 5:58:05 time: 1.0294 data_time: 0.0239 memory: 27035 grad_norm: 4.0092 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7822 loss: 0.7822 2022/08/09 14:05:18 - mmengine - INFO - Epoch(train) [39][1840/1879] lr: 2.0000e-03 eta: 5:57:44 time: 1.0575 data_time: 0.0298 memory: 27035 grad_norm: 3.8434 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6306 loss: 0.6306 2022/08/09 14:05:39 - mmengine - INFO - Epoch(train) [39][1860/1879] lr: 2.0000e-03 eta: 5:57:24 time: 1.0512 data_time: 0.0426 memory: 27035 grad_norm: 3.9831 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8144 loss: 0.8144 2022/08/09 14:05:58 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 14:05:58 - mmengine - INFO - Epoch(train) [39][1879/1879] lr: 2.0000e-03 eta: 5:57:24 time: 1.0216 data_time: 0.0237 memory: 27035 grad_norm: 4.1157 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.7423 loss: 0.7423 2022/08/09 14:05:58 - mmengine - INFO - Saving checkpoint at 39 epochs 2022/08/09 14:06:15 - mmengine - INFO - Epoch(val) [39][20/155] eta: 0:01:45 time: 0.7788 data_time: 0.5091 memory: 3270 2022/08/09 14:06:25 - mmengine - INFO - Epoch(val) [39][40/155] eta: 0:00:55 time: 0.4812 data_time: 0.2090 memory: 3270 2022/08/09 14:06:38 - mmengine - INFO - Epoch(val) [39][60/155] eta: 0:01:01 time: 0.6478 data_time: 0.3773 memory: 3270 2022/08/09 14:06:49 - mmengine - INFO - Epoch(val) [39][80/155] eta: 0:00:42 time: 0.5604 data_time: 0.2884 memory: 3270 2022/08/09 14:07:03 - mmengine - INFO - Epoch(val) [39][100/155] eta: 0:00:36 time: 0.6685 data_time: 0.3978 memory: 3270 2022/08/09 14:07:14 - mmengine - INFO - Epoch(val) [39][120/155] eta: 0:00:19 time: 0.5711 data_time: 0.3005 memory: 3270 2022/08/09 14:07:28 - mmengine - INFO - Epoch(val) [39][140/155] eta: 0:00:10 time: 0.6975 data_time: 0.4272 memory: 3270 2022/08/09 14:07:36 - mmengine - INFO - Epoch(val) [39][155/155] acc/top1: 0.7284 acc/top5: 0.9098 acc/mean1: 0.7283 2022/08/09 14:08:02 - mmengine - INFO - Epoch(train) [40][20/1879] lr: 2.0000e-03 eta: 5:56:39 time: 1.3049 data_time: 0.2608 memory: 27035 grad_norm: 3.8904 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7453 loss: 0.7453 2022/08/09 14:08:23 - mmengine - INFO - Epoch(train) [40][40/1879] lr: 2.0000e-03 eta: 5:56:18 time: 1.0256 data_time: 0.0232 memory: 27035 grad_norm: 3.8317 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7133 loss: 0.7133 2022/08/09 14:08:43 - mmengine - INFO - Epoch(train) [40][60/1879] lr: 2.0000e-03 eta: 5:55:58 time: 1.0295 data_time: 0.0244 memory: 27035 grad_norm: 3.9646 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8594 loss: 0.8594 2022/08/09 14:09:04 - mmengine - INFO - Epoch(train) [40][80/1879] lr: 2.0000e-03 eta: 5:55:37 time: 1.0275 data_time: 0.0251 memory: 27035 grad_norm: 3.9692 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8106 loss: 0.8106 2022/08/09 14:09:25 - mmengine - INFO - Epoch(train) [40][100/1879] lr: 2.0000e-03 eta: 5:55:16 time: 1.0284 data_time: 0.0246 memory: 27035 grad_norm: 3.8975 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7350 loss: 0.7350 2022/08/09 14:09:45 - mmengine - INFO - Epoch(train) [40][120/1879] lr: 2.0000e-03 eta: 5:54:55 time: 1.0267 data_time: 0.0243 memory: 27035 grad_norm: 3.9788 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6849 loss: 0.6849 2022/08/09 14:10:06 - mmengine - INFO - Epoch(train) [40][140/1879] lr: 2.0000e-03 eta: 5:54:35 time: 1.0328 data_time: 0.0258 memory: 27035 grad_norm: 3.9209 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6603 loss: 0.6603 2022/08/09 14:10:28 - mmengine - INFO - Epoch(train) [40][160/1879] lr: 2.0000e-03 eta: 5:54:14 time: 1.1136 data_time: 0.1044 memory: 27035 grad_norm: 3.8960 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8349 loss: 0.8349 2022/08/09 14:10:49 - mmengine - INFO - Epoch(train) [40][180/1879] lr: 2.0000e-03 eta: 5:53:54 time: 1.0307 data_time: 0.0247 memory: 27035 grad_norm: 3.8358 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7509 loss: 0.7509 2022/08/09 14:11:09 - mmengine - INFO - Epoch(train) [40][200/1879] lr: 2.0000e-03 eta: 5:53:33 time: 1.0304 data_time: 0.0243 memory: 27035 grad_norm: 4.0079 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9002 loss: 0.9002 2022/08/09 14:11:30 - mmengine - INFO - Epoch(train) [40][220/1879] lr: 2.0000e-03 eta: 5:53:12 time: 1.0310 data_time: 0.0252 memory: 27035 grad_norm: 4.0568 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7115 loss: 0.7115 2022/08/09 14:11:51 - mmengine - INFO - Epoch(train) [40][240/1879] lr: 2.0000e-03 eta: 5:52:51 time: 1.0332 data_time: 0.0247 memory: 27035 grad_norm: 3.8422 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7125 loss: 0.7125 2022/08/09 14:12:11 - mmengine - INFO - Epoch(train) [40][260/1879] lr: 2.0000e-03 eta: 5:52:31 time: 1.0266 data_time: 0.0244 memory: 27035 grad_norm: 3.9898 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8669 loss: 0.8669 2022/08/09 14:12:32 - mmengine - INFO - Epoch(train) [40][280/1879] lr: 2.0000e-03 eta: 5:52:10 time: 1.0277 data_time: 0.0245 memory: 27035 grad_norm: 3.9132 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8093 loss: 0.8093 2022/08/09 14:12:52 - mmengine - INFO - Epoch(train) [40][300/1879] lr: 2.0000e-03 eta: 5:51:49 time: 1.0289 data_time: 0.0252 memory: 27035 grad_norm: 3.9353 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8548 loss: 0.8548 2022/08/09 14:13:13 - mmengine - INFO - Epoch(train) [40][320/1879] lr: 2.0000e-03 eta: 5:51:28 time: 1.0313 data_time: 0.0250 memory: 27035 grad_norm: 3.9137 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8100 loss: 0.8100 2022/08/09 14:13:34 - mmengine - INFO - Epoch(train) [40][340/1879] lr: 2.0000e-03 eta: 5:51:07 time: 1.0306 data_time: 0.0248 memory: 27035 grad_norm: 3.9321 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7820 loss: 0.7820 2022/08/09 14:13:54 - mmengine - INFO - Epoch(train) [40][360/1879] lr: 2.0000e-03 eta: 5:50:47 time: 1.0288 data_time: 0.0244 memory: 27035 grad_norm: 3.9637 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6760 loss: 0.6760 2022/08/09 14:14:15 - mmengine - INFO - Epoch(train) [40][380/1879] lr: 2.0000e-03 eta: 5:50:26 time: 1.0289 data_time: 0.0251 memory: 27035 grad_norm: 3.9653 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7863 loss: 0.7863 2022/08/09 14:14:35 - mmengine - INFO - Epoch(train) [40][400/1879] lr: 2.0000e-03 eta: 5:50:05 time: 1.0280 data_time: 0.0244 memory: 27035 grad_norm: 4.0289 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7562 loss: 0.7562 2022/08/09 14:14:56 - mmengine - INFO - Epoch(train) [40][420/1879] lr: 2.0000e-03 eta: 5:49:44 time: 1.0311 data_time: 0.0254 memory: 27035 grad_norm: 3.9920 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7763 loss: 0.7763 2022/08/09 14:15:17 - mmengine - INFO - Epoch(train) [40][440/1879] lr: 2.0000e-03 eta: 5:49:24 time: 1.0387 data_time: 0.0271 memory: 27035 grad_norm: 4.0695 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8904 loss: 0.8904 2022/08/09 14:15:37 - mmengine - INFO - Epoch(train) [40][460/1879] lr: 2.0000e-03 eta: 5:49:03 time: 1.0331 data_time: 0.0236 memory: 27035 grad_norm: 3.7463 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7096 loss: 0.7096 2022/08/09 14:15:58 - mmengine - INFO - Epoch(train) [40][480/1879] lr: 2.0000e-03 eta: 5:48:42 time: 1.0360 data_time: 0.0263 memory: 27035 grad_norm: 4.1766 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8318 loss: 0.8318 2022/08/09 14:16:19 - mmengine - INFO - Epoch(train) [40][500/1879] lr: 2.0000e-03 eta: 5:48:21 time: 1.0264 data_time: 0.0217 memory: 27035 grad_norm: 3.9250 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7066 loss: 0.7066 2022/08/09 14:16:39 - mmengine - INFO - Epoch(train) [40][520/1879] lr: 2.0000e-03 eta: 5:48:01 time: 1.0319 data_time: 0.0243 memory: 27035 grad_norm: 4.0721 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7743 loss: 0.7743 2022/08/09 14:17:00 - mmengine - INFO - Epoch(train) [40][540/1879] lr: 2.0000e-03 eta: 5:47:40 time: 1.0288 data_time: 0.0236 memory: 27035 grad_norm: 4.0516 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8432 loss: 0.8432 2022/08/09 14:17:21 - mmengine - INFO - Epoch(train) [40][560/1879] lr: 2.0000e-03 eta: 5:47:19 time: 1.0706 data_time: 0.0260 memory: 27035 grad_norm: 4.0195 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6937 loss: 0.6937 2022/08/09 14:17:42 - mmengine - INFO - Epoch(train) [40][580/1879] lr: 2.0000e-03 eta: 5:46:59 time: 1.0304 data_time: 0.0256 memory: 27035 grad_norm: 3.9766 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8017 loss: 0.8017 2022/08/09 14:18:03 - mmengine - INFO - Epoch(train) [40][600/1879] lr: 2.0000e-03 eta: 5:46:38 time: 1.0310 data_time: 0.0255 memory: 27035 grad_norm: 4.0395 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7344 loss: 0.7344 2022/08/09 14:18:23 - mmengine - INFO - Epoch(train) [40][620/1879] lr: 2.0000e-03 eta: 5:46:17 time: 1.0312 data_time: 0.0248 memory: 27035 grad_norm: 4.1008 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7492 loss: 0.7492 2022/08/09 14:18:44 - mmengine - INFO - Epoch(train) [40][640/1879] lr: 2.0000e-03 eta: 5:45:56 time: 1.0297 data_time: 0.0248 memory: 27035 grad_norm: 3.9490 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7458 loss: 0.7458 2022/08/09 14:19:05 - mmengine - INFO - Epoch(train) [40][660/1879] lr: 2.0000e-03 eta: 5:45:36 time: 1.0369 data_time: 0.0248 memory: 27035 grad_norm: 3.9884 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8505 loss: 0.8505 2022/08/09 14:19:25 - mmengine - INFO - Epoch(train) [40][680/1879] lr: 2.0000e-03 eta: 5:45:15 time: 1.0290 data_time: 0.0251 memory: 27035 grad_norm: 3.9720 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9439 loss: 0.9439 2022/08/09 14:19:46 - mmengine - INFO - Epoch(train) [40][700/1879] lr: 2.0000e-03 eta: 5:44:54 time: 1.0304 data_time: 0.0258 memory: 27035 grad_norm: 3.9509 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6904 loss: 0.6904 2022/08/09 14:20:05 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 14:20:07 - mmengine - INFO - Epoch(train) [40][720/1879] lr: 2.0000e-03 eta: 5:44:33 time: 1.0596 data_time: 0.0546 memory: 27035 grad_norm: 4.1011 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9132 loss: 0.9132 2022/08/09 14:20:28 - mmengine - INFO - Epoch(train) [40][740/1879] lr: 2.0000e-03 eta: 5:44:13 time: 1.0411 data_time: 0.0353 memory: 27035 grad_norm: 3.9651 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7983 loss: 0.7983 2022/08/09 14:20:48 - mmengine - INFO - Epoch(train) [40][760/1879] lr: 2.0000e-03 eta: 5:43:52 time: 1.0308 data_time: 0.0260 memory: 27035 grad_norm: 3.9923 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7761 loss: 0.7761 2022/08/09 14:21:09 - mmengine - INFO - Epoch(train) [40][780/1879] lr: 2.0000e-03 eta: 5:43:31 time: 1.0294 data_time: 0.0252 memory: 27035 grad_norm: 4.0872 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7959 loss: 0.7959 2022/08/09 14:21:30 - mmengine - INFO - Epoch(train) [40][800/1879] lr: 2.0000e-03 eta: 5:43:11 time: 1.0300 data_time: 0.0248 memory: 27035 grad_norm: 4.0539 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7152 loss: 0.7152 2022/08/09 14:21:50 - mmengine - INFO - Epoch(train) [40][820/1879] lr: 2.0000e-03 eta: 5:42:50 time: 1.0289 data_time: 0.0243 memory: 27035 grad_norm: 4.1723 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7877 loss: 0.7877 2022/08/09 14:22:11 - mmengine - INFO - Epoch(train) [40][840/1879] lr: 2.0000e-03 eta: 5:42:29 time: 1.0315 data_time: 0.0236 memory: 27035 grad_norm: 3.9242 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8057 loss: 0.8057 2022/08/09 14:22:32 - mmengine - INFO - Epoch(train) [40][860/1879] lr: 2.0000e-03 eta: 5:42:08 time: 1.0358 data_time: 0.0251 memory: 27035 grad_norm: 3.9585 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7718 loss: 0.7718 2022/08/09 14:22:52 - mmengine - INFO - Epoch(train) [40][880/1879] lr: 2.0000e-03 eta: 5:41:47 time: 1.0298 data_time: 0.0246 memory: 27035 grad_norm: 3.9077 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7796 loss: 0.7796 2022/08/09 14:23:13 - mmengine - INFO - Epoch(train) [40][900/1879] lr: 2.0000e-03 eta: 5:41:27 time: 1.0323 data_time: 0.0258 memory: 27035 grad_norm: 4.1076 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8067 loss: 0.8067 2022/08/09 14:23:34 - mmengine - INFO - Epoch(train) [40][920/1879] lr: 2.0000e-03 eta: 5:41:06 time: 1.0367 data_time: 0.0299 memory: 27035 grad_norm: 4.0520 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8717 loss: 0.8717 2022/08/09 14:23:54 - mmengine - INFO - Epoch(train) [40][940/1879] lr: 2.0000e-03 eta: 5:40:45 time: 1.0322 data_time: 0.0251 memory: 27035 grad_norm: 4.0847 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8039 loss: 0.8039 2022/08/09 14:24:15 - mmengine - INFO - Epoch(train) [40][960/1879] lr: 2.0000e-03 eta: 5:40:25 time: 1.0308 data_time: 0.0245 memory: 27035 grad_norm: 3.9442 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6742 loss: 0.6742 2022/08/09 14:24:36 - mmengine - INFO - Epoch(train) [40][980/1879] lr: 2.0000e-03 eta: 5:40:04 time: 1.0332 data_time: 0.0256 memory: 27035 grad_norm: 4.0789 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8416 loss: 0.8416 2022/08/09 14:24:56 - mmengine - INFO - Epoch(train) [40][1000/1879] lr: 2.0000e-03 eta: 5:39:43 time: 1.0410 data_time: 0.0342 memory: 27035 grad_norm: 4.0149 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7340 loss: 0.7340 2022/08/09 14:25:17 - mmengine - INFO - Epoch(train) [40][1020/1879] lr: 2.0000e-03 eta: 5:39:22 time: 1.0343 data_time: 0.0254 memory: 27035 grad_norm: 4.1182 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8333 loss: 0.8333 2022/08/09 14:25:38 - mmengine - INFO - Epoch(train) [40][1040/1879] lr: 2.0000e-03 eta: 5:39:02 time: 1.0323 data_time: 0.0285 memory: 27035 grad_norm: 4.1205 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7260 loss: 0.7260 2022/08/09 14:25:58 - mmengine - INFO - Epoch(train) [40][1060/1879] lr: 2.0000e-03 eta: 5:38:41 time: 1.0286 data_time: 0.0250 memory: 27035 grad_norm: 4.0912 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8014 loss: 0.8014 2022/08/09 14:26:19 - mmengine - INFO - Epoch(train) [40][1080/1879] lr: 2.0000e-03 eta: 5:38:20 time: 1.0285 data_time: 0.0254 memory: 27035 grad_norm: 4.0056 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7740 loss: 0.7740 2022/08/09 14:26:40 - mmengine - INFO - Epoch(train) [40][1100/1879] lr: 2.0000e-03 eta: 5:37:59 time: 1.0342 data_time: 0.0255 memory: 27035 grad_norm: 4.0448 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8287 loss: 0.8287 2022/08/09 14:27:00 - mmengine - INFO - Epoch(train) [40][1120/1879] lr: 2.0000e-03 eta: 5:37:39 time: 1.0315 data_time: 0.0254 memory: 27035 grad_norm: 4.1477 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8124 loss: 0.8124 2022/08/09 14:27:22 - mmengine - INFO - Epoch(train) [40][1140/1879] lr: 2.0000e-03 eta: 5:37:18 time: 1.0652 data_time: 0.0461 memory: 27035 grad_norm: 3.9922 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8141 loss: 0.8141 2022/08/09 14:27:42 - mmengine - INFO - Epoch(train) [40][1160/1879] lr: 2.0000e-03 eta: 5:36:57 time: 1.0305 data_time: 0.0257 memory: 27035 grad_norm: 3.9694 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9091 loss: 0.9091 2022/08/09 14:28:03 - mmengine - INFO - Epoch(train) [40][1180/1879] lr: 2.0000e-03 eta: 5:36:36 time: 1.0305 data_time: 0.0256 memory: 27035 grad_norm: 4.0342 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8854 loss: 0.8854 2022/08/09 14:28:23 - mmengine - INFO - Epoch(train) [40][1200/1879] lr: 2.0000e-03 eta: 5:36:16 time: 1.0327 data_time: 0.0253 memory: 27035 grad_norm: 4.0061 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7052 loss: 0.7052 2022/08/09 14:28:44 - mmengine - INFO - Epoch(train) [40][1220/1879] lr: 2.0000e-03 eta: 5:35:55 time: 1.0297 data_time: 0.0243 memory: 27035 grad_norm: 4.2084 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7164 loss: 0.7164 2022/08/09 14:29:05 - mmengine - INFO - Epoch(train) [40][1240/1879] lr: 2.0000e-03 eta: 5:35:34 time: 1.0340 data_time: 0.0260 memory: 27035 grad_norm: 4.0158 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7173 loss: 0.7173 2022/08/09 14:29:25 - mmengine - INFO - Epoch(train) [40][1260/1879] lr: 2.0000e-03 eta: 5:35:13 time: 1.0309 data_time: 0.0240 memory: 27035 grad_norm: 4.0918 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6821 loss: 0.6821 2022/08/09 14:29:46 - mmengine - INFO - Epoch(train) [40][1280/1879] lr: 2.0000e-03 eta: 5:34:53 time: 1.0302 data_time: 0.0251 memory: 27035 grad_norm: 4.0861 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8443 loss: 0.8443 2022/08/09 14:30:07 - mmengine - INFO - Epoch(train) [40][1300/1879] lr: 2.0000e-03 eta: 5:34:32 time: 1.0344 data_time: 0.0247 memory: 27035 grad_norm: 4.0175 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7688 loss: 0.7688 2022/08/09 14:30:28 - mmengine - INFO - Epoch(train) [40][1320/1879] lr: 2.0000e-03 eta: 5:34:11 time: 1.0697 data_time: 0.0599 memory: 27035 grad_norm: 4.2506 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8597 loss: 0.8597 2022/08/09 14:30:49 - mmengine - INFO - Epoch(train) [40][1340/1879] lr: 2.0000e-03 eta: 5:33:51 time: 1.0315 data_time: 0.0244 memory: 27035 grad_norm: 4.0041 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8311 loss: 0.8311 2022/08/09 14:31:09 - mmengine - INFO - Epoch(train) [40][1360/1879] lr: 2.0000e-03 eta: 5:33:30 time: 1.0284 data_time: 0.0248 memory: 27035 grad_norm: 3.9272 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7184 loss: 0.7184 2022/08/09 14:31:30 - mmengine - INFO - Epoch(train) [40][1380/1879] lr: 2.0000e-03 eta: 5:33:09 time: 1.0286 data_time: 0.0246 memory: 27035 grad_norm: 3.9496 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7709 loss: 0.7709 2022/08/09 14:31:50 - mmengine - INFO - Epoch(train) [40][1400/1879] lr: 2.0000e-03 eta: 5:32:48 time: 1.0328 data_time: 0.0248 memory: 27035 grad_norm: 3.9702 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6940 loss: 0.6940 2022/08/09 14:32:11 - mmengine - INFO - Epoch(train) [40][1420/1879] lr: 2.0000e-03 eta: 5:32:28 time: 1.0280 data_time: 0.0246 memory: 27035 grad_norm: 4.1290 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8859 loss: 0.8859 2022/08/09 14:32:32 - mmengine - INFO - Epoch(train) [40][1440/1879] lr: 2.0000e-03 eta: 5:32:07 time: 1.0323 data_time: 0.0241 memory: 27035 grad_norm: 4.1199 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8636 loss: 0.8636 2022/08/09 14:32:52 - mmengine - INFO - Epoch(train) [40][1460/1879] lr: 2.0000e-03 eta: 5:31:46 time: 1.0336 data_time: 0.0250 memory: 27035 grad_norm: 4.0973 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9235 loss: 0.9235 2022/08/09 14:33:13 - mmengine - INFO - Epoch(train) [40][1480/1879] lr: 2.0000e-03 eta: 5:31:25 time: 1.0304 data_time: 0.0243 memory: 27035 grad_norm: 3.9962 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7538 loss: 0.7538 2022/08/09 14:33:34 - mmengine - INFO - Epoch(train) [40][1500/1879] lr: 2.0000e-03 eta: 5:31:05 time: 1.0289 data_time: 0.0246 memory: 27035 grad_norm: 4.0131 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8927 loss: 0.8927 2022/08/09 14:33:54 - mmengine - INFO - Epoch(train) [40][1520/1879] lr: 2.0000e-03 eta: 5:30:44 time: 1.0323 data_time: 0.0244 memory: 27035 grad_norm: 4.1710 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8540 loss: 0.8540 2022/08/09 14:34:15 - mmengine - INFO - Epoch(train) [40][1540/1879] lr: 2.0000e-03 eta: 5:30:23 time: 1.0344 data_time: 0.0252 memory: 27035 grad_norm: 4.1959 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8818 loss: 0.8818 2022/08/09 14:34:36 - mmengine - INFO - Epoch(train) [40][1560/1879] lr: 2.0000e-03 eta: 5:30:02 time: 1.0294 data_time: 0.0260 memory: 27035 grad_norm: 3.9348 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7987 loss: 0.7987 2022/08/09 14:34:56 - mmengine - INFO - Epoch(train) [40][1580/1879] lr: 2.0000e-03 eta: 5:29:42 time: 1.0294 data_time: 0.0247 memory: 27035 grad_norm: 4.1037 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9556 loss: 0.9556 2022/08/09 14:35:17 - mmengine - INFO - Epoch(train) [40][1600/1879] lr: 2.0000e-03 eta: 5:29:21 time: 1.0484 data_time: 0.0272 memory: 27035 grad_norm: 4.0807 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7932 loss: 0.7932 2022/08/09 14:35:38 - mmengine - INFO - Epoch(train) [40][1620/1879] lr: 2.0000e-03 eta: 5:29:00 time: 1.0284 data_time: 0.0243 memory: 27035 grad_norm: 4.0511 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7654 loss: 0.7654 2022/08/09 14:35:58 - mmengine - INFO - Epoch(train) [40][1640/1879] lr: 2.0000e-03 eta: 5:28:39 time: 1.0312 data_time: 0.0242 memory: 27035 grad_norm: 4.0616 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 0.9044 loss: 0.9044 2022/08/09 14:36:19 - mmengine - INFO - Epoch(train) [40][1660/1879] lr: 2.0000e-03 eta: 5:28:19 time: 1.0305 data_time: 0.0241 memory: 27035 grad_norm: 4.0731 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8125 loss: 0.8125 2022/08/09 14:36:40 - mmengine - INFO - Epoch(train) [40][1680/1879] lr: 2.0000e-03 eta: 5:27:58 time: 1.0292 data_time: 0.0247 memory: 27035 grad_norm: 4.0485 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7453 loss: 0.7453 2022/08/09 14:37:00 - mmengine - INFO - Epoch(train) [40][1700/1879] lr: 2.0000e-03 eta: 5:27:37 time: 1.0308 data_time: 0.0242 memory: 27035 grad_norm: 4.0528 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8206 loss: 0.8206 2022/08/09 14:37:20 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 14:37:22 - mmengine - INFO - Epoch(train) [40][1720/1879] lr: 2.0000e-03 eta: 5:27:17 time: 1.0657 data_time: 0.0243 memory: 27035 grad_norm: 3.9749 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7657 loss: 0.7657 2022/08/09 14:37:42 - mmengine - INFO - Epoch(train) [40][1740/1879] lr: 2.0000e-03 eta: 5:26:56 time: 1.0394 data_time: 0.0358 memory: 27035 grad_norm: 4.0692 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8535 loss: 0.8535 2022/08/09 14:38:03 - mmengine - INFO - Epoch(train) [40][1760/1879] lr: 2.0000e-03 eta: 5:26:35 time: 1.0410 data_time: 0.0318 memory: 27035 grad_norm: 3.9298 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8427 loss: 0.8427 2022/08/09 14:38:24 - mmengine - INFO - Epoch(train) [40][1780/1879] lr: 2.0000e-03 eta: 5:26:14 time: 1.0318 data_time: 0.0250 memory: 27035 grad_norm: 4.0094 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8890 loss: 0.8890 2022/08/09 14:38:44 - mmengine - INFO - Epoch(train) [40][1800/1879] lr: 2.0000e-03 eta: 5:25:54 time: 1.0327 data_time: 0.0256 memory: 27035 grad_norm: 4.0168 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7144 loss: 0.7144 2022/08/09 14:39:05 - mmengine - INFO - Epoch(train) [40][1820/1879] lr: 2.0000e-03 eta: 5:25:33 time: 1.0292 data_time: 0.0256 memory: 27035 grad_norm: 4.1265 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6529 loss: 0.6529 2022/08/09 14:39:26 - mmengine - INFO - Epoch(train) [40][1840/1879] lr: 2.0000e-03 eta: 5:25:12 time: 1.0300 data_time: 0.0255 memory: 27035 grad_norm: 4.1961 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9454 loss: 0.9454 2022/08/09 14:39:46 - mmengine - INFO - Epoch(train) [40][1860/1879] lr: 2.0000e-03 eta: 5:24:51 time: 1.0294 data_time: 0.0250 memory: 27035 grad_norm: 4.0649 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6842 loss: 0.6842 2022/08/09 14:40:05 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 14:40:06 - mmengine - INFO - Epoch(train) [40][1879/1879] lr: 2.0000e-03 eta: 5:24:51 time: 1.0093 data_time: 0.0223 memory: 27035 grad_norm: 4.1293 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 0.8768 loss: 0.8768 2022/08/09 14:40:25 - mmengine - INFO - Epoch(val) [40][20/155] eta: 0:02:03 time: 0.9123 data_time: 0.6418 memory: 3270 2022/08/09 14:40:36 - mmengine - INFO - Epoch(val) [40][40/155] eta: 0:01:04 time: 0.5608 data_time: 0.2919 memory: 3270 2022/08/09 14:40:51 - mmengine - INFO - Epoch(val) [40][60/155] eta: 0:01:11 time: 0.7496 data_time: 0.4794 memory: 3270 2022/08/09 14:41:02 - mmengine - INFO - Epoch(val) [40][80/155] eta: 0:00:41 time: 0.5578 data_time: 0.2873 memory: 3270 2022/08/09 14:41:16 - mmengine - INFO - Epoch(val) [40][100/155] eta: 0:00:39 time: 0.7138 data_time: 0.4439 memory: 3270 2022/08/09 14:41:27 - mmengine - INFO - Epoch(val) [40][120/155] eta: 0:00:19 time: 0.5552 data_time: 0.2873 memory: 3270 2022/08/09 14:41:44 - mmengine - INFO - Epoch(val) [40][140/155] eta: 0:00:12 time: 0.8039 data_time: 0.5374 memory: 3270 2022/08/09 14:41:54 - mmengine - INFO - Epoch(val) [40][155/155] acc/top1: 0.7295 acc/top5: 0.9100 acc/mean1: 0.7295 2022/08/09 14:41:54 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_r50_1x1x16_50e_kinetics400_rgb/best_acc/top1_epoch_38.pth is removed 2022/08/09 14:41:56 - mmengine - INFO - The best checkpoint with 0.7295 acc/top1 at 41 epoch is saved to best_acc/top1_epoch_41.pth. 2022/08/09 14:42:21 - mmengine - INFO - Epoch(train) [41][20/1879] lr: 2.0000e-03 eta: 5:24:07 time: 1.2468 data_time: 0.2275 memory: 27035 grad_norm: 3.9876 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7732 loss: 0.7732 2022/08/09 14:42:42 - mmengine - INFO - Epoch(train) [41][40/1879] lr: 2.0000e-03 eta: 5:23:46 time: 1.0378 data_time: 0.0315 memory: 27035 grad_norm: 4.0423 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8469 loss: 0.8469 2022/08/09 14:43:02 - mmengine - INFO - Epoch(train) [41][60/1879] lr: 2.0000e-03 eta: 5:23:26 time: 1.0307 data_time: 0.0236 memory: 27035 grad_norm: 4.0688 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7260 loss: 0.7260 2022/08/09 14:43:23 - mmengine - INFO - Epoch(train) [41][80/1879] lr: 2.0000e-03 eta: 5:23:05 time: 1.0298 data_time: 0.0247 memory: 27035 grad_norm: 3.8552 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7743 loss: 0.7743 2022/08/09 14:43:44 - mmengine - INFO - Epoch(train) [41][100/1879] lr: 2.0000e-03 eta: 5:22:44 time: 1.0323 data_time: 0.0241 memory: 27035 grad_norm: 4.0356 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8050 loss: 0.8050 2022/08/09 14:44:04 - mmengine - INFO - Epoch(train) [41][120/1879] lr: 2.0000e-03 eta: 5:22:23 time: 1.0372 data_time: 0.0242 memory: 27035 grad_norm: 4.0410 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7469 loss: 0.7469 2022/08/09 14:44:25 - mmengine - INFO - Epoch(train) [41][140/1879] lr: 2.0000e-03 eta: 5:22:03 time: 1.0352 data_time: 0.0239 memory: 27035 grad_norm: 4.0065 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8593 loss: 0.8593 2022/08/09 14:44:46 - mmengine - INFO - Epoch(train) [41][160/1879] lr: 2.0000e-03 eta: 5:21:42 time: 1.0308 data_time: 0.0235 memory: 27035 grad_norm: 3.9951 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7930 loss: 0.7930 2022/08/09 14:45:06 - mmengine - INFO - Epoch(train) [41][180/1879] lr: 2.0000e-03 eta: 5:21:21 time: 1.0330 data_time: 0.0256 memory: 27035 grad_norm: 3.9781 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7583 loss: 0.7583 2022/08/09 14:45:28 - mmengine - INFO - Epoch(train) [41][200/1879] lr: 2.0000e-03 eta: 5:21:01 time: 1.0972 data_time: 0.0914 memory: 27035 grad_norm: 4.0849 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 0.7850 loss: 0.7850 2022/08/09 14:45:49 - mmengine - INFO - Epoch(train) [41][220/1879] lr: 2.0000e-03 eta: 5:20:40 time: 1.0316 data_time: 0.0239 memory: 27035 grad_norm: 4.0904 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7208 loss: 0.7208 2022/08/09 14:46:10 - mmengine - INFO - Epoch(train) [41][240/1879] lr: 2.0000e-03 eta: 5:20:19 time: 1.0284 data_time: 0.0240 memory: 27035 grad_norm: 4.0716 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7352 loss: 0.7352 2022/08/09 14:46:30 - mmengine - INFO - Epoch(train) [41][260/1879] lr: 2.0000e-03 eta: 5:19:59 time: 1.0319 data_time: 0.0255 memory: 27035 grad_norm: 4.1106 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8273 loss: 0.8273 2022/08/09 14:46:51 - mmengine - INFO - Epoch(train) [41][280/1879] lr: 2.0000e-03 eta: 5:19:38 time: 1.0314 data_time: 0.0233 memory: 27035 grad_norm: 3.8565 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6681 loss: 0.6681 2022/08/09 14:47:11 - mmengine - INFO - Epoch(train) [41][300/1879] lr: 2.0000e-03 eta: 5:19:17 time: 1.0272 data_time: 0.0240 memory: 27035 grad_norm: 4.0528 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6818 loss: 0.6818 2022/08/09 14:47:32 - mmengine - INFO - Epoch(train) [41][320/1879] lr: 2.0000e-03 eta: 5:18:56 time: 1.0317 data_time: 0.0237 memory: 27035 grad_norm: 3.9836 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7789 loss: 0.7789 2022/08/09 14:47:53 - mmengine - INFO - Epoch(train) [41][340/1879] lr: 2.0000e-03 eta: 5:18:36 time: 1.0286 data_time: 0.0242 memory: 27035 grad_norm: 4.0879 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8621 loss: 0.8621 2022/08/09 14:48:13 - mmengine - INFO - Epoch(train) [41][360/1879] lr: 2.0000e-03 eta: 5:18:15 time: 1.0357 data_time: 0.0329 memory: 27035 grad_norm: 4.0542 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8834 loss: 0.8834 2022/08/09 14:48:34 - mmengine - INFO - Epoch(train) [41][380/1879] lr: 2.0000e-03 eta: 5:17:54 time: 1.0299 data_time: 0.0233 memory: 27035 grad_norm: 3.9131 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7811 loss: 0.7811 2022/08/09 14:48:55 - mmengine - INFO - Epoch(train) [41][400/1879] lr: 2.0000e-03 eta: 5:17:33 time: 1.0319 data_time: 0.0239 memory: 27035 grad_norm: 4.0336 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7528 loss: 0.7528 2022/08/09 14:49:15 - mmengine - INFO - Epoch(train) [41][420/1879] lr: 2.0000e-03 eta: 5:17:13 time: 1.0312 data_time: 0.0237 memory: 27035 grad_norm: 3.8756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6842 loss: 0.6842 2022/08/09 14:49:36 - mmengine - INFO - Epoch(train) [41][440/1879] lr: 2.0000e-03 eta: 5:16:52 time: 1.0315 data_time: 0.0259 memory: 27035 grad_norm: 4.0399 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7758 loss: 0.7758 2022/08/09 14:49:56 - mmengine - INFO - Epoch(train) [41][460/1879] lr: 2.0000e-03 eta: 5:16:31 time: 1.0315 data_time: 0.0254 memory: 27035 grad_norm: 3.9409 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7806 loss: 0.7806 2022/08/09 14:50:17 - mmengine - INFO - Epoch(train) [41][480/1879] lr: 2.0000e-03 eta: 5:16:10 time: 1.0330 data_time: 0.0243 memory: 27035 grad_norm: 3.9570 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7975 loss: 0.7975 2022/08/09 14:50:38 - mmengine - INFO - Epoch(train) [41][500/1879] lr: 2.0000e-03 eta: 5:15:50 time: 1.0307 data_time: 0.0233 memory: 27035 grad_norm: 3.9219 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8631 loss: 0.8631 2022/08/09 14:50:58 - mmengine - INFO - Epoch(train) [41][520/1879] lr: 2.0000e-03 eta: 5:15:29 time: 1.0318 data_time: 0.0235 memory: 27035 grad_norm: 3.9056 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.6793 loss: 0.6793 2022/08/09 14:51:19 - mmengine - INFO - Epoch(train) [41][540/1879] lr: 2.0000e-03 eta: 5:15:08 time: 1.0288 data_time: 0.0244 memory: 27035 grad_norm: 4.0135 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8427 loss: 0.8427 2022/08/09 14:51:40 - mmengine - INFO - Epoch(train) [41][560/1879] lr: 2.0000e-03 eta: 5:14:47 time: 1.0325 data_time: 0.0240 memory: 27035 grad_norm: 4.0312 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8345 loss: 0.8345 2022/08/09 14:52:00 - mmengine - INFO - Epoch(train) [41][580/1879] lr: 2.0000e-03 eta: 5:14:27 time: 1.0304 data_time: 0.0246 memory: 27035 grad_norm: 3.8808 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6927 loss: 0.6927 2022/08/09 14:52:21 - mmengine - INFO - Epoch(train) [41][600/1879] lr: 2.0000e-03 eta: 5:14:06 time: 1.0351 data_time: 0.0247 memory: 27035 grad_norm: 4.1096 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9490 loss: 0.9490 2022/08/09 14:52:42 - mmengine - INFO - Epoch(train) [41][620/1879] lr: 2.0000e-03 eta: 5:13:45 time: 1.0331 data_time: 0.0256 memory: 27035 grad_norm: 4.0195 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7378 loss: 0.7378 2022/08/09 14:53:02 - mmengine - INFO - Epoch(train) [41][640/1879] lr: 2.0000e-03 eta: 5:13:24 time: 1.0289 data_time: 0.0248 memory: 27035 grad_norm: 4.1290 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7162 loss: 0.7162 2022/08/09 14:53:23 - mmengine - INFO - Epoch(train) [41][660/1879] lr: 2.0000e-03 eta: 5:13:04 time: 1.0364 data_time: 0.0261 memory: 27035 grad_norm: 4.0827 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7633 loss: 0.7633 2022/08/09 14:53:44 - mmengine - INFO - Epoch(train) [41][680/1879] lr: 2.0000e-03 eta: 5:12:43 time: 1.0355 data_time: 0.0305 memory: 27035 grad_norm: 4.2539 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0452 loss: 1.0452 2022/08/09 14:54:04 - mmengine - INFO - Epoch(train) [41][700/1879] lr: 2.0000e-03 eta: 5:12:22 time: 1.0335 data_time: 0.0238 memory: 27035 grad_norm: 4.2192 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5984 loss: 0.5984 2022/08/09 14:54:25 - mmengine - INFO - Epoch(train) [41][720/1879] lr: 2.0000e-03 eta: 5:12:01 time: 1.0326 data_time: 0.0248 memory: 27035 grad_norm: 4.0201 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8185 loss: 0.8185 2022/08/09 14:54:46 - mmengine - INFO - Epoch(train) [41][740/1879] lr: 2.0000e-03 eta: 5:11:41 time: 1.0323 data_time: 0.0258 memory: 27035 grad_norm: 4.1197 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7526 loss: 0.7526 2022/08/09 14:55:07 - mmengine - INFO - Epoch(train) [41][760/1879] lr: 2.0000e-03 eta: 5:11:20 time: 1.0421 data_time: 0.0320 memory: 27035 grad_norm: 4.0634 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7551 loss: 0.7551 2022/08/09 14:55:28 - mmengine - INFO - Epoch(train) [41][780/1879] lr: 2.0000e-03 eta: 5:11:00 time: 1.0857 data_time: 0.0765 memory: 27035 grad_norm: 4.1493 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8383 loss: 0.8383 2022/08/09 14:55:49 - mmengine - INFO - Epoch(train) [41][800/1879] lr: 2.0000e-03 eta: 5:10:39 time: 1.0309 data_time: 0.0238 memory: 27035 grad_norm: 4.0835 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7531 loss: 0.7531 2022/08/09 14:56:09 - mmengine - INFO - Epoch(train) [41][820/1879] lr: 2.0000e-03 eta: 5:10:18 time: 1.0288 data_time: 0.0239 memory: 27035 grad_norm: 4.0664 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8085 loss: 0.8085 2022/08/09 14:56:30 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 14:56:30 - mmengine - INFO - Epoch(train) [41][840/1879] lr: 2.0000e-03 eta: 5:09:57 time: 1.0310 data_time: 0.0240 memory: 27035 grad_norm: 4.2292 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8091 loss: 0.8091 2022/08/09 14:56:51 - mmengine - INFO - Epoch(train) [41][860/1879] lr: 2.0000e-03 eta: 5:09:37 time: 1.0288 data_time: 0.0236 memory: 27035 grad_norm: 4.0353 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8237 loss: 0.8237 2022/08/09 14:57:11 - mmengine - INFO - Epoch(train) [41][880/1879] lr: 2.0000e-03 eta: 5:09:16 time: 1.0307 data_time: 0.0246 memory: 27035 grad_norm: 3.9848 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7015 loss: 0.7015 2022/08/09 14:57:33 - mmengine - INFO - Epoch(train) [41][900/1879] lr: 2.0000e-03 eta: 5:08:55 time: 1.0705 data_time: 0.0246 memory: 27035 grad_norm: 3.9664 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7585 loss: 0.7585 2022/08/09 14:57:53 - mmengine - INFO - Epoch(train) [41][920/1879] lr: 2.0000e-03 eta: 5:08:35 time: 1.0331 data_time: 0.0250 memory: 27035 grad_norm: 4.0406 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7966 loss: 0.7966 2022/08/09 14:58:14 - mmengine - INFO - Epoch(train) [41][940/1879] lr: 2.0000e-03 eta: 5:08:14 time: 1.0283 data_time: 0.0233 memory: 27035 grad_norm: 4.0243 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8212 loss: 0.8212 2022/08/09 14:58:35 - mmengine - INFO - Epoch(train) [41][960/1879] lr: 2.0000e-03 eta: 5:07:53 time: 1.0329 data_time: 0.0253 memory: 27035 grad_norm: 4.0440 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7512 loss: 0.7512 2022/08/09 14:58:55 - mmengine - INFO - Epoch(train) [41][980/1879] lr: 2.0000e-03 eta: 5:07:32 time: 1.0319 data_time: 0.0256 memory: 27035 grad_norm: 3.9076 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6970 loss: 0.6970 2022/08/09 14:59:16 - mmengine - INFO - Epoch(train) [41][1000/1879] lr: 2.0000e-03 eta: 5:07:12 time: 1.0287 data_time: 0.0243 memory: 27035 grad_norm: 4.0720 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7454 loss: 0.7454 2022/08/09 14:59:37 - mmengine - INFO - Epoch(train) [41][1020/1879] lr: 2.0000e-03 eta: 5:06:51 time: 1.0319 data_time: 0.0241 memory: 27035 grad_norm: 4.2094 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8290 loss: 0.8290 2022/08/09 14:59:57 - mmengine - INFO - Epoch(train) [41][1040/1879] lr: 2.0000e-03 eta: 5:06:30 time: 1.0351 data_time: 0.0247 memory: 27035 grad_norm: 4.1525 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8484 loss: 0.8484 2022/08/09 15:00:18 - mmengine - INFO - Epoch(train) [41][1060/1879] lr: 2.0000e-03 eta: 5:06:09 time: 1.0343 data_time: 0.0249 memory: 27035 grad_norm: 3.9029 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8209 loss: 0.8209 2022/08/09 15:00:39 - mmengine - INFO - Epoch(train) [41][1080/1879] lr: 2.0000e-03 eta: 5:05:49 time: 1.0396 data_time: 0.0236 memory: 27035 grad_norm: 4.0910 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7686 loss: 0.7686 2022/08/09 15:00:59 - mmengine - INFO - Epoch(train) [41][1100/1879] lr: 2.0000e-03 eta: 5:05:28 time: 1.0327 data_time: 0.0241 memory: 27035 grad_norm: 4.0225 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8817 loss: 0.8817 2022/08/09 15:01:20 - mmengine - INFO - Epoch(train) [41][1120/1879] lr: 2.0000e-03 eta: 5:05:07 time: 1.0298 data_time: 0.0239 memory: 27035 grad_norm: 4.2277 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8844 loss: 0.8844 2022/08/09 15:01:41 - mmengine - INFO - Epoch(train) [41][1140/1879] lr: 2.0000e-03 eta: 5:04:46 time: 1.0328 data_time: 0.0249 memory: 27035 grad_norm: 4.0920 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8137 loss: 0.8137 2022/08/09 15:02:01 - mmengine - INFO - Epoch(train) [41][1160/1879] lr: 2.0000e-03 eta: 5:04:26 time: 1.0292 data_time: 0.0251 memory: 27035 grad_norm: 4.1535 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7397 loss: 0.7397 2022/08/09 15:02:22 - mmengine - INFO - Epoch(train) [41][1180/1879] lr: 2.0000e-03 eta: 5:04:05 time: 1.0341 data_time: 0.0240 memory: 27035 grad_norm: 4.1061 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7980 loss: 0.7980 2022/08/09 15:02:43 - mmengine - INFO - Epoch(train) [41][1200/1879] lr: 2.0000e-03 eta: 5:03:44 time: 1.0339 data_time: 0.0243 memory: 27035 grad_norm: 4.1147 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6767 loss: 0.6767 2022/08/09 15:03:03 - mmengine - INFO - Epoch(train) [41][1220/1879] lr: 2.0000e-03 eta: 5:03:23 time: 1.0351 data_time: 0.0234 memory: 27035 grad_norm: 4.0435 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7734 loss: 0.7734 2022/08/09 15:03:24 - mmengine - INFO - Epoch(train) [41][1240/1879] lr: 2.0000e-03 eta: 5:03:03 time: 1.0296 data_time: 0.0241 memory: 27035 grad_norm: 4.1667 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8280 loss: 0.8280 2022/08/09 15:03:45 - mmengine - INFO - Epoch(train) [41][1260/1879] lr: 2.0000e-03 eta: 5:02:42 time: 1.0318 data_time: 0.0234 memory: 27035 grad_norm: 4.0027 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7759 loss: 0.7759 2022/08/09 15:04:05 - mmengine - INFO - Epoch(train) [41][1280/1879] lr: 2.0000e-03 eta: 5:02:21 time: 1.0322 data_time: 0.0240 memory: 27035 grad_norm: 4.2339 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7532 loss: 0.7532 2022/08/09 15:04:26 - mmengine - INFO - Epoch(train) [41][1300/1879] lr: 2.0000e-03 eta: 5:02:00 time: 1.0347 data_time: 0.0239 memory: 27035 grad_norm: 4.0776 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8524 loss: 0.8524 2022/08/09 15:04:47 - mmengine - INFO - Epoch(train) [41][1320/1879] lr: 2.0000e-03 eta: 5:01:40 time: 1.0334 data_time: 0.0239 memory: 27035 grad_norm: 4.0645 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7376 loss: 0.7376 2022/08/09 15:05:07 - mmengine - INFO - Epoch(train) [41][1340/1879] lr: 2.0000e-03 eta: 5:01:19 time: 1.0306 data_time: 0.0237 memory: 27035 grad_norm: 4.0870 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8341 loss: 0.8341 2022/08/09 15:05:28 - mmengine - INFO - Epoch(train) [41][1360/1879] lr: 2.0000e-03 eta: 5:00:58 time: 1.0315 data_time: 0.0225 memory: 27035 grad_norm: 4.1970 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9556 loss: 0.9556 2022/08/09 15:05:48 - mmengine - INFO - Epoch(train) [41][1380/1879] lr: 2.0000e-03 eta: 5:00:38 time: 1.0310 data_time: 0.0236 memory: 27035 grad_norm: 3.9502 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8404 loss: 0.8404 2022/08/09 15:06:09 - mmengine - INFO - Epoch(train) [41][1400/1879] lr: 2.0000e-03 eta: 5:00:17 time: 1.0317 data_time: 0.0223 memory: 27035 grad_norm: 4.0576 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7408 loss: 0.7408 2022/08/09 15:06:30 - mmengine - INFO - Epoch(train) [41][1420/1879] lr: 2.0000e-03 eta: 4:59:56 time: 1.0382 data_time: 0.0304 memory: 27035 grad_norm: 4.1337 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8676 loss: 0.8676 2022/08/09 15:06:51 - mmengine - INFO - Epoch(train) [41][1440/1879] lr: 2.0000e-03 eta: 4:59:35 time: 1.0307 data_time: 0.0232 memory: 27035 grad_norm: 4.1956 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8777 loss: 0.8777 2022/08/09 15:07:11 - mmengine - INFO - Epoch(train) [41][1460/1879] lr: 2.0000e-03 eta: 4:59:15 time: 1.0322 data_time: 0.0242 memory: 27035 grad_norm: 4.0246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7753 loss: 0.7753 2022/08/09 15:07:32 - mmengine - INFO - Epoch(train) [41][1480/1879] lr: 2.0000e-03 eta: 4:58:54 time: 1.0323 data_time: 0.0247 memory: 27035 grad_norm: 4.1570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7598 loss: 0.7598 2022/08/09 15:07:52 - mmengine - INFO - Epoch(train) [41][1500/1879] lr: 2.0000e-03 eta: 4:58:33 time: 1.0301 data_time: 0.0242 memory: 27035 grad_norm: 4.0864 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8102 loss: 0.8102 2022/08/09 15:08:13 - mmengine - INFO - Epoch(train) [41][1520/1879] lr: 2.0000e-03 eta: 4:58:12 time: 1.0327 data_time: 0.0238 memory: 27035 grad_norm: 4.0297 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7062 loss: 0.7062 2022/08/09 15:08:34 - mmengine - INFO - Epoch(train) [41][1540/1879] lr: 2.0000e-03 eta: 4:57:52 time: 1.0303 data_time: 0.0234 memory: 27035 grad_norm: 4.1992 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8000 loss: 0.8000 2022/08/09 15:08:54 - mmengine - INFO - Epoch(train) [41][1560/1879] lr: 2.0000e-03 eta: 4:57:31 time: 1.0345 data_time: 0.0219 memory: 27035 grad_norm: 4.0794 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8292 loss: 0.8292 2022/08/09 15:09:15 - mmengine - INFO - Epoch(train) [41][1580/1879] lr: 2.0000e-03 eta: 4:57:10 time: 1.0284 data_time: 0.0222 memory: 27035 grad_norm: 4.0901 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8337 loss: 0.8337 2022/08/09 15:09:36 - mmengine - INFO - Epoch(train) [41][1600/1879] lr: 2.0000e-03 eta: 4:56:49 time: 1.0300 data_time: 0.0233 memory: 27035 grad_norm: 4.1511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8175 loss: 0.8175 2022/08/09 15:09:56 - mmengine - INFO - Epoch(train) [41][1620/1879] lr: 2.0000e-03 eta: 4:56:29 time: 1.0412 data_time: 0.0297 memory: 27035 grad_norm: 4.1665 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8245 loss: 0.8245 2022/08/09 15:10:17 - mmengine - INFO - Epoch(train) [41][1640/1879] lr: 2.0000e-03 eta: 4:56:08 time: 1.0388 data_time: 0.0253 memory: 27035 grad_norm: 4.1348 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7363 loss: 0.7363 2022/08/09 15:10:38 - mmengine - INFO - Epoch(train) [41][1660/1879] lr: 2.0000e-03 eta: 4:55:47 time: 1.0314 data_time: 0.0228 memory: 27035 grad_norm: 4.2291 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7641 loss: 0.7641 2022/08/09 15:10:59 - mmengine - INFO - Epoch(train) [41][1680/1879] lr: 2.0000e-03 eta: 4:55:26 time: 1.0317 data_time: 0.0226 memory: 27035 grad_norm: 4.1779 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7368 loss: 0.7368 2022/08/09 15:11:19 - mmengine - INFO - Epoch(train) [41][1700/1879] lr: 2.0000e-03 eta: 4:55:06 time: 1.0325 data_time: 0.0246 memory: 27035 grad_norm: 4.1441 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7455 loss: 0.7455 2022/08/09 15:11:40 - mmengine - INFO - Epoch(train) [41][1720/1879] lr: 2.0000e-03 eta: 4:54:45 time: 1.0326 data_time: 0.0226 memory: 27035 grad_norm: 4.2052 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7297 loss: 0.7297 2022/08/09 15:12:00 - mmengine - INFO - Epoch(train) [41][1740/1879] lr: 2.0000e-03 eta: 4:54:24 time: 1.0326 data_time: 0.0222 memory: 27035 grad_norm: 4.2410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8315 loss: 0.8315 2022/08/09 15:12:21 - mmengine - INFO - Epoch(train) [41][1760/1879] lr: 2.0000e-03 eta: 4:54:04 time: 1.0307 data_time: 0.0243 memory: 27035 grad_norm: 4.1722 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8604 loss: 0.8604 2022/08/09 15:12:42 - mmengine - INFO - Epoch(train) [41][1780/1879] lr: 2.0000e-03 eta: 4:53:43 time: 1.0387 data_time: 0.0237 memory: 27035 grad_norm: 3.9452 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8347 loss: 0.8347 2022/08/09 15:13:03 - mmengine - INFO - Epoch(train) [41][1800/1879] lr: 2.0000e-03 eta: 4:53:22 time: 1.0357 data_time: 0.0219 memory: 27035 grad_norm: 4.0630 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8142 loss: 0.8142 2022/08/09 15:13:23 - mmengine - INFO - Epoch(train) [41][1820/1879] lr: 2.0000e-03 eta: 4:53:01 time: 1.0319 data_time: 0.0221 memory: 27035 grad_norm: 4.1251 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7911 loss: 0.7911 2022/08/09 15:13:44 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 15:13:44 - mmengine - INFO - Epoch(train) [41][1840/1879] lr: 2.0000e-03 eta: 4:52:41 time: 1.0345 data_time: 0.0228 memory: 27035 grad_norm: 4.2140 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7914 loss: 0.7914 2022/08/09 15:14:05 - mmengine - INFO - Epoch(train) [41][1860/1879] lr: 2.0000e-03 eta: 4:52:20 time: 1.0328 data_time: 0.0226 memory: 27035 grad_norm: 4.1853 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8090 loss: 0.8090 2022/08/09 15:14:24 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 15:14:24 - mmengine - INFO - Epoch(train) [41][1879/1879] lr: 2.0000e-03 eta: 4:52:20 time: 1.0019 data_time: 0.0210 memory: 27035 grad_norm: 4.2371 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.7109 loss: 0.7109 2022/08/09 15:14:41 - mmengine - INFO - Epoch(val) [41][20/155] eta: 0:01:57 time: 0.8704 data_time: 0.6001 memory: 3270 2022/08/09 15:14:52 - mmengine - INFO - Epoch(val) [41][40/155] eta: 0:01:02 time: 0.5445 data_time: 0.2782 memory: 3270 2022/08/09 15:15:03 - mmengine - INFO - Epoch(val) [41][60/155] eta: 0:00:53 time: 0.5586 data_time: 0.2917 memory: 3270 2022/08/09 15:15:23 - mmengine - INFO - Epoch(val) [41][80/155] eta: 0:01:14 time: 0.9900 data_time: 0.7234 memory: 3270 2022/08/09 15:15:32 - mmengine - INFO - Epoch(val) [41][100/155] eta: 0:00:25 time: 0.4583 data_time: 0.1900 memory: 3270 2022/08/09 15:15:49 - mmengine - INFO - Epoch(val) [41][120/155] eta: 0:00:29 time: 0.8546 data_time: 0.5893 memory: 3270 2022/08/09 15:15:59 - mmengine - INFO - Epoch(val) [41][140/155] eta: 0:00:07 time: 0.4711 data_time: 0.2049 memory: 3270 2022/08/09 15:16:13 - mmengine - INFO - Epoch(val) [41][155/155] acc/top1: 0.7291 acc/top5: 0.9090 acc/mean1: 0.7290 2022/08/09 15:16:42 - mmengine - INFO - Epoch(train) [42][20/1879] lr: 2.0000e-03 eta: 4:51:37 time: 1.4319 data_time: 0.2832 memory: 27035 grad_norm: 3.9669 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7508 loss: 0.7508 2022/08/09 15:17:03 - mmengine - INFO - Epoch(train) [42][40/1879] lr: 2.0000e-03 eta: 4:51:16 time: 1.0279 data_time: 0.0246 memory: 27035 grad_norm: 4.0828 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7783 loss: 0.7783 2022/08/09 15:17:23 - mmengine - INFO - Epoch(train) [42][60/1879] lr: 2.0000e-03 eta: 4:50:55 time: 1.0409 data_time: 0.0229 memory: 27035 grad_norm: 3.9898 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8840 loss: 0.8840 2022/08/09 15:17:44 - mmengine - INFO - Epoch(train) [42][80/1879] lr: 2.0000e-03 eta: 4:50:35 time: 1.0320 data_time: 0.0237 memory: 27035 grad_norm: 4.0465 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.6761 loss: 0.6761 2022/08/09 15:18:05 - mmengine - INFO - Epoch(train) [42][100/1879] lr: 2.0000e-03 eta: 4:50:14 time: 1.0373 data_time: 0.0302 memory: 27035 grad_norm: 4.0902 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7276 loss: 0.7276 2022/08/09 15:18:26 - mmengine - INFO - Epoch(train) [42][120/1879] lr: 2.0000e-03 eta: 4:49:53 time: 1.0319 data_time: 0.0226 memory: 27035 grad_norm: 4.1451 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7210 loss: 0.7210 2022/08/09 15:18:46 - mmengine - INFO - Epoch(train) [42][140/1879] lr: 2.0000e-03 eta: 4:49:33 time: 1.0343 data_time: 0.0237 memory: 27035 grad_norm: 4.0510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7301 loss: 0.7301 2022/08/09 15:19:07 - mmengine - INFO - Epoch(train) [42][160/1879] lr: 2.0000e-03 eta: 4:49:12 time: 1.0314 data_time: 0.0241 memory: 27035 grad_norm: 4.1939 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7139 loss: 0.7139 2022/08/09 15:19:27 - mmengine - INFO - Epoch(train) [42][180/1879] lr: 2.0000e-03 eta: 4:48:51 time: 1.0316 data_time: 0.0238 memory: 27035 grad_norm: 4.0759 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.6725 loss: 0.6725 2022/08/09 15:19:48 - mmengine - INFO - Epoch(train) [42][200/1879] lr: 2.0000e-03 eta: 4:48:30 time: 1.0324 data_time: 0.0255 memory: 27035 grad_norm: 4.0412 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7581 loss: 0.7581 2022/08/09 15:20:09 - mmengine - INFO - Epoch(train) [42][220/1879] lr: 2.0000e-03 eta: 4:48:10 time: 1.0284 data_time: 0.0229 memory: 27035 grad_norm: 4.1259 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8343 loss: 0.8343 2022/08/09 15:20:30 - mmengine - INFO - Epoch(train) [42][240/1879] lr: 2.0000e-03 eta: 4:47:49 time: 1.0498 data_time: 0.0260 memory: 27035 grad_norm: 4.2474 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7392 loss: 0.7392 2022/08/09 15:20:50 - mmengine - INFO - Epoch(train) [42][260/1879] lr: 2.0000e-03 eta: 4:47:28 time: 1.0335 data_time: 0.0223 memory: 27035 grad_norm: 4.0929 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7545 loss: 0.7545 2022/08/09 15:21:11 - mmengine - INFO - Epoch(train) [42][280/1879] lr: 2.0000e-03 eta: 4:47:07 time: 1.0316 data_time: 0.0230 memory: 27035 grad_norm: 4.1422 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7775 loss: 0.7775 2022/08/09 15:21:32 - mmengine - INFO - Epoch(train) [42][300/1879] lr: 2.0000e-03 eta: 4:46:47 time: 1.0295 data_time: 0.0231 memory: 27035 grad_norm: 4.1516 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6702 loss: 0.6702 2022/08/09 15:21:52 - mmengine - INFO - Epoch(train) [42][320/1879] lr: 2.0000e-03 eta: 4:46:26 time: 1.0349 data_time: 0.0246 memory: 27035 grad_norm: 3.9920 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7432 loss: 0.7432 2022/08/09 15:22:13 - mmengine - INFO - Epoch(train) [42][340/1879] lr: 2.0000e-03 eta: 4:46:05 time: 1.0357 data_time: 0.0286 memory: 27035 grad_norm: 4.2907 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8927 loss: 0.8927 2022/08/09 15:22:34 - mmengine - INFO - Epoch(train) [42][360/1879] lr: 2.0000e-03 eta: 4:45:45 time: 1.0343 data_time: 0.0246 memory: 27035 grad_norm: 4.0599 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7846 loss: 0.7846 2022/08/09 15:22:54 - mmengine - INFO - Epoch(train) [42][380/1879] lr: 2.0000e-03 eta: 4:45:24 time: 1.0301 data_time: 0.0246 memory: 27035 grad_norm: 4.1762 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6946 loss: 0.6946 2022/08/09 15:23:15 - mmengine - INFO - Epoch(train) [42][400/1879] lr: 2.0000e-03 eta: 4:45:03 time: 1.0329 data_time: 0.0223 memory: 27035 grad_norm: 4.1144 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7666 loss: 0.7666 2022/08/09 15:23:36 - mmengine - INFO - Epoch(train) [42][420/1879] lr: 2.0000e-03 eta: 4:44:42 time: 1.0354 data_time: 0.0246 memory: 27035 grad_norm: 4.0318 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8087 loss: 0.8087 2022/08/09 15:23:56 - mmengine - INFO - Epoch(train) [42][440/1879] lr: 2.0000e-03 eta: 4:44:22 time: 1.0299 data_time: 0.0228 memory: 27035 grad_norm: 4.0048 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7573 loss: 0.7573 2022/08/09 15:24:17 - mmengine - INFO - Epoch(train) [42][460/1879] lr: 2.0000e-03 eta: 4:44:01 time: 1.0317 data_time: 0.0232 memory: 27035 grad_norm: 4.2177 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8878 loss: 0.8878 2022/08/09 15:24:38 - mmengine - INFO - Epoch(train) [42][480/1879] lr: 2.0000e-03 eta: 4:43:40 time: 1.0347 data_time: 0.0222 memory: 27035 grad_norm: 3.9546 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8262 loss: 0.8262 2022/08/09 15:24:58 - mmengine - INFO - Epoch(train) [42][500/1879] lr: 2.0000e-03 eta: 4:43:19 time: 1.0315 data_time: 0.0235 memory: 27035 grad_norm: 3.9854 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7217 loss: 0.7217 2022/08/09 15:25:19 - mmengine - INFO - Epoch(train) [42][520/1879] lr: 2.0000e-03 eta: 4:42:59 time: 1.0412 data_time: 0.0261 memory: 27035 grad_norm: 4.0100 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7185 loss: 0.7185 2022/08/09 15:25:40 - mmengine - INFO - Epoch(train) [42][540/1879] lr: 2.0000e-03 eta: 4:42:38 time: 1.0353 data_time: 0.0216 memory: 27035 grad_norm: 4.1367 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7835 loss: 0.7835 2022/08/09 15:26:01 - mmengine - INFO - Epoch(train) [42][560/1879] lr: 2.0000e-03 eta: 4:42:17 time: 1.0305 data_time: 0.0225 memory: 27035 grad_norm: 4.2022 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7784 loss: 0.7784 2022/08/09 15:26:21 - mmengine - INFO - Epoch(train) [42][580/1879] lr: 2.0000e-03 eta: 4:41:57 time: 1.0328 data_time: 0.0225 memory: 27035 grad_norm: 4.0602 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7798 loss: 0.7798 2022/08/09 15:26:42 - mmengine - INFO - Epoch(train) [42][600/1879] lr: 2.0000e-03 eta: 4:41:36 time: 1.0296 data_time: 0.0221 memory: 27035 grad_norm: 4.1616 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8747 loss: 0.8747 2022/08/09 15:27:02 - mmengine - INFO - Epoch(train) [42][620/1879] lr: 2.0000e-03 eta: 4:41:15 time: 1.0293 data_time: 0.0222 memory: 27035 grad_norm: 4.1493 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7313 loss: 0.7313 2022/08/09 15:27:24 - mmengine - INFO - Epoch(train) [42][640/1879] lr: 2.0000e-03 eta: 4:40:55 time: 1.0724 data_time: 0.0384 memory: 27035 grad_norm: 4.2547 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7656 loss: 0.7656 2022/08/09 15:27:45 - mmengine - INFO - Epoch(train) [42][660/1879] lr: 2.0000e-03 eta: 4:40:34 time: 1.0374 data_time: 0.0213 memory: 27035 grad_norm: 4.0557 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7154 loss: 0.7154 2022/08/09 15:28:05 - mmengine - INFO - Epoch(train) [42][680/1879] lr: 2.0000e-03 eta: 4:40:13 time: 1.0322 data_time: 0.0225 memory: 27035 grad_norm: 4.1131 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7435 loss: 0.7435 2022/08/09 15:28:26 - mmengine - INFO - Epoch(train) [42][700/1879] lr: 2.0000e-03 eta: 4:39:52 time: 1.0348 data_time: 0.0222 memory: 27035 grad_norm: 4.0569 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7834 loss: 0.7834 2022/08/09 15:28:47 - mmengine - INFO - Epoch(train) [42][720/1879] lr: 2.0000e-03 eta: 4:39:32 time: 1.0352 data_time: 0.0231 memory: 27035 grad_norm: 4.1558 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6917 loss: 0.6917 2022/08/09 15:29:07 - mmengine - INFO - Epoch(train) [42][740/1879] lr: 2.0000e-03 eta: 4:39:11 time: 1.0368 data_time: 0.0236 memory: 27035 grad_norm: 4.4368 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8818 loss: 0.8818 2022/08/09 15:29:28 - mmengine - INFO - Epoch(train) [42][760/1879] lr: 2.0000e-03 eta: 4:38:50 time: 1.0322 data_time: 0.0229 memory: 27035 grad_norm: 3.9950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8780 loss: 0.8780 2022/08/09 15:29:49 - mmengine - INFO - Epoch(train) [42][780/1879] lr: 2.0000e-03 eta: 4:38:29 time: 1.0347 data_time: 0.0236 memory: 27035 grad_norm: 4.2603 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8170 loss: 0.8170 2022/08/09 15:30:10 - mmengine - INFO - Epoch(train) [42][800/1879] lr: 2.0000e-03 eta: 4:38:09 time: 1.0391 data_time: 0.0232 memory: 27035 grad_norm: 4.0680 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6629 loss: 0.6629 2022/08/09 15:30:31 - mmengine - INFO - Epoch(train) [42][820/1879] lr: 2.0000e-03 eta: 4:37:48 time: 1.0581 data_time: 0.0251 memory: 27035 grad_norm: 4.1122 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7760 loss: 0.7760 2022/08/09 15:30:51 - mmengine - INFO - Epoch(train) [42][840/1879] lr: 2.0000e-03 eta: 4:37:27 time: 1.0350 data_time: 0.0229 memory: 27035 grad_norm: 4.1631 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8347 loss: 0.8347 2022/08/09 15:31:12 - mmengine - INFO - Epoch(train) [42][860/1879] lr: 2.0000e-03 eta: 4:37:07 time: 1.0284 data_time: 0.0231 memory: 27035 grad_norm: 4.0317 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7061 loss: 0.7061 2022/08/09 15:31:33 - mmengine - INFO - Epoch(train) [42][880/1879] lr: 2.0000e-03 eta: 4:36:46 time: 1.0306 data_time: 0.0231 memory: 27035 grad_norm: 4.0935 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7661 loss: 0.7661 2022/08/09 15:31:53 - mmengine - INFO - Epoch(train) [42][900/1879] lr: 2.0000e-03 eta: 4:36:25 time: 1.0315 data_time: 0.0233 memory: 27035 grad_norm: 4.0058 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6678 loss: 0.6678 2022/08/09 15:32:14 - mmengine - INFO - Epoch(train) [42][920/1879] lr: 2.0000e-03 eta: 4:36:04 time: 1.0350 data_time: 0.0228 memory: 27035 grad_norm: 4.0468 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6895 loss: 0.6895 2022/08/09 15:32:35 - mmengine - INFO - Epoch(train) [42][940/1879] lr: 2.0000e-03 eta: 4:35:44 time: 1.0334 data_time: 0.0245 memory: 27035 grad_norm: 4.1494 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8112 loss: 0.8112 2022/08/09 15:32:55 - mmengine - INFO - Epoch(train) [42][960/1879] lr: 2.0000e-03 eta: 4:35:23 time: 1.0386 data_time: 0.0224 memory: 27035 grad_norm: 4.0418 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6432 loss: 0.6432 2022/08/09 15:32:57 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 15:33:16 - mmengine - INFO - Epoch(train) [42][980/1879] lr: 2.0000e-03 eta: 4:35:02 time: 1.0292 data_time: 0.0218 memory: 27035 grad_norm: 4.1693 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8067 loss: 0.8067 2022/08/09 15:33:37 - mmengine - INFO - Epoch(train) [42][1000/1879] lr: 2.0000e-03 eta: 4:34:42 time: 1.0376 data_time: 0.0237 memory: 27035 grad_norm: 4.2407 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7317 loss: 0.7317 2022/08/09 15:33:57 - mmengine - INFO - Epoch(train) [42][1020/1879] lr: 2.0000e-03 eta: 4:34:21 time: 1.0305 data_time: 0.0229 memory: 27035 grad_norm: 4.1554 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9303 loss: 0.9303 2022/08/09 15:34:18 - mmengine - INFO - Epoch(train) [42][1040/1879] lr: 2.0000e-03 eta: 4:34:00 time: 1.0314 data_time: 0.0225 memory: 27035 grad_norm: 4.0615 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7393 loss: 0.7393 2022/08/09 15:34:39 - mmengine - INFO - Epoch(train) [42][1060/1879] lr: 2.0000e-03 eta: 4:33:39 time: 1.0329 data_time: 0.0229 memory: 27035 grad_norm: 3.9634 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7711 loss: 0.7711 2022/08/09 15:34:59 - mmengine - INFO - Epoch(train) [42][1080/1879] lr: 2.0000e-03 eta: 4:33:19 time: 1.0325 data_time: 0.0234 memory: 27035 grad_norm: 4.1537 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7045 loss: 0.7045 2022/08/09 15:35:20 - mmengine - INFO - Epoch(train) [42][1100/1879] lr: 2.0000e-03 eta: 4:32:58 time: 1.0522 data_time: 0.0242 memory: 27035 grad_norm: 4.1561 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7220 loss: 0.7220 2022/08/09 15:35:41 - mmengine - INFO - Epoch(train) [42][1120/1879] lr: 2.0000e-03 eta: 4:32:37 time: 1.0365 data_time: 0.0233 memory: 27035 grad_norm: 4.1130 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6228 loss: 0.6228 2022/08/09 15:36:02 - mmengine - INFO - Epoch(train) [42][1140/1879] lr: 2.0000e-03 eta: 4:32:17 time: 1.0328 data_time: 0.0225 memory: 27035 grad_norm: 4.0235 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6321 loss: 0.6321 2022/08/09 15:36:22 - mmengine - INFO - Epoch(train) [42][1160/1879] lr: 2.0000e-03 eta: 4:31:56 time: 1.0319 data_time: 0.0222 memory: 27035 grad_norm: 4.1465 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8264 loss: 0.8264 2022/08/09 15:36:43 - mmengine - INFO - Epoch(train) [42][1180/1879] lr: 2.0000e-03 eta: 4:31:35 time: 1.0325 data_time: 0.0238 memory: 27035 grad_norm: 4.0115 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8445 loss: 0.8445 2022/08/09 15:37:04 - mmengine - INFO - Epoch(train) [42][1200/1879] lr: 2.0000e-03 eta: 4:31:14 time: 1.0391 data_time: 0.0220 memory: 27035 grad_norm: 4.0127 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7872 loss: 0.7872 2022/08/09 15:37:25 - mmengine - INFO - Epoch(train) [42][1220/1879] lr: 2.0000e-03 eta: 4:30:54 time: 1.0532 data_time: 0.0313 memory: 27035 grad_norm: 4.0777 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6836 loss: 0.6836 2022/08/09 15:37:46 - mmengine - INFO - Epoch(train) [42][1240/1879] lr: 2.0000e-03 eta: 4:30:33 time: 1.0337 data_time: 0.0226 memory: 27035 grad_norm: 4.1500 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7397 loss: 0.7397 2022/08/09 15:38:06 - mmengine - INFO - Epoch(train) [42][1260/1879] lr: 2.0000e-03 eta: 4:30:12 time: 1.0309 data_time: 0.0228 memory: 27035 grad_norm: 4.1499 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6935 loss: 0.6935 2022/08/09 15:38:27 - mmengine - INFO - Epoch(train) [42][1280/1879] lr: 2.0000e-03 eta: 4:29:52 time: 1.0365 data_time: 0.0231 memory: 27035 grad_norm: 4.1512 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8451 loss: 0.8451 2022/08/09 15:38:48 - mmengine - INFO - Epoch(train) [42][1300/1879] lr: 2.0000e-03 eta: 4:29:31 time: 1.0325 data_time: 0.0224 memory: 27035 grad_norm: 4.1979 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9198 loss: 0.9198 2022/08/09 15:39:08 - mmengine - INFO - Epoch(train) [42][1320/1879] lr: 2.0000e-03 eta: 4:29:10 time: 1.0325 data_time: 0.0240 memory: 27035 grad_norm: 4.1996 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7834 loss: 0.7834 2022/08/09 15:39:29 - mmengine - INFO - Epoch(train) [42][1340/1879] lr: 2.0000e-03 eta: 4:28:49 time: 1.0303 data_time: 0.0241 memory: 27035 grad_norm: 3.9963 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6715 loss: 0.6715 2022/08/09 15:39:50 - mmengine - INFO - Epoch(train) [42][1360/1879] lr: 2.0000e-03 eta: 4:28:29 time: 1.0300 data_time: 0.0223 memory: 27035 grad_norm: 4.2402 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8147 loss: 0.8147 2022/08/09 15:40:11 - mmengine - INFO - Epoch(train) [42][1380/1879] lr: 2.0000e-03 eta: 4:28:08 time: 1.0554 data_time: 0.0227 memory: 27035 grad_norm: 4.1315 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5940 loss: 0.5940 2022/08/09 15:40:32 - mmengine - INFO - Epoch(train) [42][1400/1879] lr: 2.0000e-03 eta: 4:27:47 time: 1.0478 data_time: 0.0253 memory: 27035 grad_norm: 4.2042 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7232 loss: 0.7232 2022/08/09 15:40:52 - mmengine - INFO - Epoch(train) [42][1420/1879] lr: 2.0000e-03 eta: 4:27:27 time: 1.0372 data_time: 0.0224 memory: 27035 grad_norm: 4.1776 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7925 loss: 0.7925 2022/08/09 15:41:13 - mmengine - INFO - Epoch(train) [42][1440/1879] lr: 2.0000e-03 eta: 4:27:06 time: 1.0378 data_time: 0.0239 memory: 27035 grad_norm: 4.1585 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8354 loss: 0.8354 2022/08/09 15:41:34 - mmengine - INFO - Epoch(train) [42][1460/1879] lr: 2.0000e-03 eta: 4:26:45 time: 1.0296 data_time: 0.0233 memory: 27035 grad_norm: 4.2926 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8817 loss: 0.8817 2022/08/09 15:41:54 - mmengine - INFO - Epoch(train) [42][1480/1879] lr: 2.0000e-03 eta: 4:26:24 time: 1.0321 data_time: 0.0234 memory: 27035 grad_norm: 4.0801 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9136 loss: 0.9136 2022/08/09 15:42:15 - mmengine - INFO - Epoch(train) [42][1500/1879] lr: 2.0000e-03 eta: 4:26:04 time: 1.0375 data_time: 0.0244 memory: 27035 grad_norm: 4.1770 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8990 loss: 0.8990 2022/08/09 15:42:36 - mmengine - INFO - Epoch(train) [42][1520/1879] lr: 2.0000e-03 eta: 4:25:43 time: 1.0305 data_time: 0.0221 memory: 27035 grad_norm: 4.0113 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7909 loss: 0.7909 2022/08/09 15:42:56 - mmengine - INFO - Epoch(train) [42][1540/1879] lr: 2.0000e-03 eta: 4:25:22 time: 1.0309 data_time: 0.0239 memory: 27035 grad_norm: 4.1344 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8374 loss: 0.8374 2022/08/09 15:43:17 - mmengine - INFO - Epoch(train) [42][1560/1879] lr: 2.0000e-03 eta: 4:25:01 time: 1.0288 data_time: 0.0213 memory: 27035 grad_norm: 4.2367 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9551 loss: 0.9551 2022/08/09 15:43:38 - mmengine - INFO - Epoch(train) [42][1580/1879] lr: 2.0000e-03 eta: 4:24:41 time: 1.0333 data_time: 0.0251 memory: 27035 grad_norm: 4.0679 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7689 loss: 0.7689 2022/08/09 15:43:58 - mmengine - INFO - Epoch(train) [42][1600/1879] lr: 2.0000e-03 eta: 4:24:20 time: 1.0316 data_time: 0.0250 memory: 27035 grad_norm: 4.3520 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8955 loss: 0.8955 2022/08/09 15:44:19 - mmengine - INFO - Epoch(train) [42][1620/1879] lr: 2.0000e-03 eta: 4:23:59 time: 1.0338 data_time: 0.0226 memory: 27035 grad_norm: 4.0679 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8352 loss: 0.8352 2022/08/09 15:44:40 - mmengine - INFO - Epoch(train) [42][1640/1879] lr: 2.0000e-03 eta: 4:23:39 time: 1.0341 data_time: 0.0240 memory: 27035 grad_norm: 4.1413 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6838 loss: 0.6838 2022/08/09 15:45:00 - mmengine - INFO - Epoch(train) [42][1660/1879] lr: 2.0000e-03 eta: 4:23:18 time: 1.0346 data_time: 0.0226 memory: 27035 grad_norm: 4.2280 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8002 loss: 0.8002 2022/08/09 15:45:21 - mmengine - INFO - Epoch(train) [42][1680/1879] lr: 2.0000e-03 eta: 4:22:57 time: 1.0424 data_time: 0.0248 memory: 27035 grad_norm: 4.3820 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7900 loss: 0.7900 2022/08/09 15:45:42 - mmengine - INFO - Epoch(train) [42][1700/1879] lr: 2.0000e-03 eta: 4:22:36 time: 1.0383 data_time: 0.0207 memory: 27035 grad_norm: 4.2932 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6469 loss: 0.6469 2022/08/09 15:46:03 - mmengine - INFO - Epoch(train) [42][1720/1879] lr: 2.0000e-03 eta: 4:22:16 time: 1.0382 data_time: 0.0295 memory: 27035 grad_norm: 4.1549 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9153 loss: 0.9153 2022/08/09 15:46:24 - mmengine - INFO - Epoch(train) [42][1740/1879] lr: 2.0000e-03 eta: 4:21:55 time: 1.0358 data_time: 0.0277 memory: 27035 grad_norm: 4.0690 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6931 loss: 0.6931 2022/08/09 15:46:44 - mmengine - INFO - Epoch(train) [42][1760/1879] lr: 2.0000e-03 eta: 4:21:34 time: 1.0381 data_time: 0.0233 memory: 27035 grad_norm: 4.1873 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6713 loss: 0.6713 2022/08/09 15:47:05 - mmengine - INFO - Epoch(train) [42][1780/1879] lr: 2.0000e-03 eta: 4:21:14 time: 1.0401 data_time: 0.0293 memory: 27035 grad_norm: 4.0839 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7075 loss: 0.7075 2022/08/09 15:47:26 - mmengine - INFO - Epoch(train) [42][1800/1879] lr: 2.0000e-03 eta: 4:20:53 time: 1.0514 data_time: 0.0233 memory: 27035 grad_norm: 4.0902 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7333 loss: 0.7333 2022/08/09 15:47:47 - mmengine - INFO - Epoch(train) [42][1820/1879] lr: 2.0000e-03 eta: 4:20:32 time: 1.0359 data_time: 0.0235 memory: 27035 grad_norm: 4.1101 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7561 loss: 0.7561 2022/08/09 15:48:08 - mmengine - INFO - Epoch(train) [42][1840/1879] lr: 2.0000e-03 eta: 4:20:11 time: 1.0301 data_time: 0.0216 memory: 27035 grad_norm: 4.0336 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7188 loss: 0.7188 2022/08/09 15:48:28 - mmengine - INFO - Epoch(train) [42][1860/1879] lr: 2.0000e-03 eta: 4:19:51 time: 1.0337 data_time: 0.0235 memory: 27035 grad_norm: 4.2212 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7129 loss: 0.7129 2022/08/09 15:48:47 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 15:48:47 - mmengine - INFO - Epoch(train) [42][1879/1879] lr: 2.0000e-03 eta: 4:19:51 time: 1.0001 data_time: 0.0214 memory: 27035 grad_norm: 4.2941 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8126 loss: 0.8126 2022/08/09 15:48:47 - mmengine - INFO - Saving checkpoint at 42 epochs 2022/08/09 15:49:05 - mmengine - INFO - Epoch(val) [42][20/155] eta: 0:01:50 time: 0.8162 data_time: 0.5438 memory: 3270 2022/08/09 15:49:19 - mmengine - INFO - Epoch(val) [42][40/155] eta: 0:01:20 time: 0.6963 data_time: 0.4282 memory: 3270 2022/08/09 15:49:31 - mmengine - INFO - Epoch(val) [42][60/155] eta: 0:00:58 time: 0.6184 data_time: 0.3494 memory: 3270 2022/08/09 15:49:47 - mmengine - INFO - Epoch(val) [42][80/155] eta: 0:00:58 time: 0.7856 data_time: 0.5156 memory: 3270 2022/08/09 15:49:59 - mmengine - INFO - Epoch(val) [42][100/155] eta: 0:00:31 time: 0.5800 data_time: 0.3095 memory: 3270 2022/08/09 15:50:14 - mmengine - INFO - Epoch(val) [42][120/155] eta: 0:00:27 time: 0.7734 data_time: 0.5054 memory: 3270 2022/08/09 15:50:28 - mmengine - INFO - Epoch(val) [42][140/155] eta: 0:00:10 time: 0.6989 data_time: 0.4352 memory: 3270 2022/08/09 15:50:40 - mmengine - INFO - Epoch(val) [42][155/155] acc/top1: 0.7290 acc/top5: 0.9096 acc/mean1: 0.7289 2022/08/09 15:51:07 - mmengine - INFO - Epoch(train) [43][20/1879] lr: 2.0000e-03 eta: 4:19:08 time: 1.3350 data_time: 0.2843 memory: 27035 grad_norm: 4.1937 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7572 loss: 0.7572 2022/08/09 15:51:28 - mmengine - INFO - Epoch(train) [43][40/1879] lr: 2.0000e-03 eta: 4:18:47 time: 1.0328 data_time: 0.0234 memory: 27035 grad_norm: 3.9500 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6606 loss: 0.6606 2022/08/09 15:51:49 - mmengine - INFO - Epoch(train) [43][60/1879] lr: 2.0000e-03 eta: 4:18:26 time: 1.0341 data_time: 0.0217 memory: 27035 grad_norm: 4.1897 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8061 loss: 0.8061 2022/08/09 15:52:09 - mmengine - INFO - Epoch(train) [43][80/1879] lr: 2.0000e-03 eta: 4:18:06 time: 1.0357 data_time: 0.0216 memory: 27035 grad_norm: 4.2195 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7669 loss: 0.7669 2022/08/09 15:52:11 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 15:52:30 - mmengine - INFO - Epoch(train) [43][100/1879] lr: 2.0000e-03 eta: 4:17:45 time: 1.0332 data_time: 0.0253 memory: 27035 grad_norm: 4.0694 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7901 loss: 0.7901 2022/08/09 15:52:51 - mmengine - INFO - Epoch(train) [43][120/1879] lr: 2.0000e-03 eta: 4:17:24 time: 1.0341 data_time: 0.0207 memory: 27035 grad_norm: 3.9507 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8187 loss: 0.8187 2022/08/09 15:53:11 - mmengine - INFO - Epoch(train) [43][140/1879] lr: 2.0000e-03 eta: 4:17:03 time: 1.0317 data_time: 0.0233 memory: 27035 grad_norm: 4.1317 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8480 loss: 0.8480 2022/08/09 15:53:32 - mmengine - INFO - Epoch(train) [43][160/1879] lr: 2.0000e-03 eta: 4:16:43 time: 1.0359 data_time: 0.0231 memory: 27035 grad_norm: 3.9860 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7019 loss: 0.7019 2022/08/09 15:53:53 - mmengine - INFO - Epoch(train) [43][180/1879] lr: 2.0000e-03 eta: 4:16:22 time: 1.0304 data_time: 0.0241 memory: 27035 grad_norm: 4.0301 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7662 loss: 0.7662 2022/08/09 15:54:13 - mmengine - INFO - Epoch(train) [43][200/1879] lr: 2.0000e-03 eta: 4:16:01 time: 1.0319 data_time: 0.0230 memory: 27035 grad_norm: 4.1539 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7043 loss: 0.7043 2022/08/09 15:54:34 - mmengine - INFO - Epoch(train) [43][220/1879] lr: 2.0000e-03 eta: 4:15:40 time: 1.0341 data_time: 0.0244 memory: 27035 grad_norm: 4.2245 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7743 loss: 0.7743 2022/08/09 15:54:55 - mmengine - INFO - Epoch(train) [43][240/1879] lr: 2.0000e-03 eta: 4:15:20 time: 1.0348 data_time: 0.0255 memory: 27035 grad_norm: 4.0857 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9560 loss: 0.9560 2022/08/09 15:55:15 - mmengine - INFO - Epoch(train) [43][260/1879] lr: 2.0000e-03 eta: 4:14:59 time: 1.0348 data_time: 0.0264 memory: 27035 grad_norm: 4.0274 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8489 loss: 0.8489 2022/08/09 15:55:36 - mmengine - INFO - Epoch(train) [43][280/1879] lr: 2.0000e-03 eta: 4:14:38 time: 1.0299 data_time: 0.0223 memory: 27035 grad_norm: 4.1989 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7053 loss: 0.7053 2022/08/09 15:55:57 - mmengine - INFO - Epoch(train) [43][300/1879] lr: 2.0000e-03 eta: 4:14:18 time: 1.0360 data_time: 0.0235 memory: 27035 grad_norm: 4.2867 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8630 loss: 0.8630 2022/08/09 15:56:17 - mmengine - INFO - Epoch(train) [43][320/1879] lr: 2.0000e-03 eta: 4:13:57 time: 1.0349 data_time: 0.0224 memory: 27035 grad_norm: 4.1554 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8890 loss: 0.8890 2022/08/09 15:56:38 - mmengine - INFO - Epoch(train) [43][340/1879] lr: 2.0000e-03 eta: 4:13:36 time: 1.0337 data_time: 0.0236 memory: 27035 grad_norm: 4.0269 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6449 loss: 0.6449 2022/08/09 15:56:59 - mmengine - INFO - Epoch(train) [43][360/1879] lr: 2.0000e-03 eta: 4:13:15 time: 1.0389 data_time: 0.0240 memory: 27035 grad_norm: 4.1564 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7446 loss: 0.7446 2022/08/09 15:57:20 - mmengine - INFO - Epoch(train) [43][380/1879] lr: 2.0000e-03 eta: 4:12:55 time: 1.0634 data_time: 0.0212 memory: 27035 grad_norm: 4.1562 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8231 loss: 0.8231 2022/08/09 15:57:41 - mmengine - INFO - Epoch(train) [43][400/1879] lr: 2.0000e-03 eta: 4:12:34 time: 1.0340 data_time: 0.0222 memory: 27035 grad_norm: 4.3735 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6817 loss: 0.6817 2022/08/09 15:58:02 - mmengine - INFO - Epoch(train) [43][420/1879] lr: 2.0000e-03 eta: 4:12:13 time: 1.0318 data_time: 0.0215 memory: 27035 grad_norm: 4.1861 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8448 loss: 0.8448 2022/08/09 15:58:22 - mmengine - INFO - Epoch(train) [43][440/1879] lr: 2.0000e-03 eta: 4:11:53 time: 1.0296 data_time: 0.0206 memory: 27035 grad_norm: 4.0907 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6102 loss: 0.6102 2022/08/09 15:58:43 - mmengine - INFO - Epoch(train) [43][460/1879] lr: 2.0000e-03 eta: 4:11:32 time: 1.0339 data_time: 0.0237 memory: 27035 grad_norm: 4.0722 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8937 loss: 0.8937 2022/08/09 15:59:04 - mmengine - INFO - Epoch(train) [43][480/1879] lr: 2.0000e-03 eta: 4:11:11 time: 1.0336 data_time: 0.0213 memory: 27035 grad_norm: 3.9789 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6265 loss: 0.6265 2022/08/09 15:59:24 - mmengine - INFO - Epoch(train) [43][500/1879] lr: 2.0000e-03 eta: 4:10:50 time: 1.0340 data_time: 0.0244 memory: 27035 grad_norm: 4.1423 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7104 loss: 0.7104 2022/08/09 15:59:45 - mmengine - INFO - Epoch(train) [43][520/1879] lr: 2.0000e-03 eta: 4:10:30 time: 1.0326 data_time: 0.0225 memory: 27035 grad_norm: 4.1579 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7816 loss: 0.7816 2022/08/09 16:00:06 - mmengine - INFO - Epoch(train) [43][540/1879] lr: 2.0000e-03 eta: 4:10:09 time: 1.0407 data_time: 0.0207 memory: 27035 grad_norm: 4.2119 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7783 loss: 0.7783 2022/08/09 16:00:27 - mmengine - INFO - Epoch(train) [43][560/1879] lr: 2.0000e-03 eta: 4:09:49 time: 1.0814 data_time: 0.0678 memory: 27035 grad_norm: 4.0883 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7028 loss: 0.7028 2022/08/09 16:00:48 - mmengine - INFO - Epoch(train) [43][580/1879] lr: 2.0000e-03 eta: 4:09:28 time: 1.0325 data_time: 0.0216 memory: 27035 grad_norm: 4.0594 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6570 loss: 0.6570 2022/08/09 16:01:09 - mmengine - INFO - Epoch(train) [43][600/1879] lr: 2.0000e-03 eta: 4:09:07 time: 1.0292 data_time: 0.0224 memory: 27035 grad_norm: 4.1384 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8981 loss: 0.8981 2022/08/09 16:01:29 - mmengine - INFO - Epoch(train) [43][620/1879] lr: 2.0000e-03 eta: 4:08:46 time: 1.0304 data_time: 0.0241 memory: 27035 grad_norm: 4.0585 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7412 loss: 0.7412 2022/08/09 16:01:50 - mmengine - INFO - Epoch(train) [43][640/1879] lr: 2.0000e-03 eta: 4:08:26 time: 1.0285 data_time: 0.0241 memory: 27035 grad_norm: 4.1629 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7793 loss: 0.7793 2022/08/09 16:02:10 - mmengine - INFO - Epoch(train) [43][660/1879] lr: 2.0000e-03 eta: 4:08:05 time: 1.0347 data_time: 0.0237 memory: 27035 grad_norm: 4.1908 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7327 loss: 0.7327 2022/08/09 16:02:31 - mmengine - INFO - Epoch(train) [43][680/1879] lr: 2.0000e-03 eta: 4:07:44 time: 1.0351 data_time: 0.0223 memory: 27035 grad_norm: 4.1562 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8210 loss: 0.8210 2022/08/09 16:02:52 - mmengine - INFO - Epoch(train) [43][700/1879] lr: 2.0000e-03 eta: 4:07:23 time: 1.0322 data_time: 0.0217 memory: 27035 grad_norm: 4.1575 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7359 loss: 0.7359 2022/08/09 16:03:13 - mmengine - INFO - Epoch(train) [43][720/1879] lr: 2.0000e-03 eta: 4:07:03 time: 1.0348 data_time: 0.0217 memory: 27035 grad_norm: 4.0707 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7733 loss: 0.7733 2022/08/09 16:03:33 - mmengine - INFO - Epoch(train) [43][740/1879] lr: 2.0000e-03 eta: 4:06:42 time: 1.0350 data_time: 0.0225 memory: 27035 grad_norm: 4.0478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7180 loss: 0.7180 2022/08/09 16:03:54 - mmengine - INFO - Epoch(train) [43][760/1879] lr: 2.0000e-03 eta: 4:06:21 time: 1.0315 data_time: 0.0222 memory: 27035 grad_norm: 4.2175 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7795 loss: 0.7795 2022/08/09 16:04:15 - mmengine - INFO - Epoch(train) [43][780/1879] lr: 2.0000e-03 eta: 4:06:01 time: 1.0335 data_time: 0.0210 memory: 27035 grad_norm: 4.1988 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8111 loss: 0.8111 2022/08/09 16:04:35 - mmengine - INFO - Epoch(train) [43][800/1879] lr: 2.0000e-03 eta: 4:05:40 time: 1.0325 data_time: 0.0229 memory: 27035 grad_norm: 4.1322 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6709 loss: 0.6709 2022/08/09 16:04:56 - mmengine - INFO - Epoch(train) [43][820/1879] lr: 2.0000e-03 eta: 4:05:19 time: 1.0499 data_time: 0.0332 memory: 27035 grad_norm: 4.1281 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6356 loss: 0.6356 2022/08/09 16:05:17 - mmengine - INFO - Epoch(train) [43][840/1879] lr: 2.0000e-03 eta: 4:04:58 time: 1.0530 data_time: 0.0239 memory: 27035 grad_norm: 4.1641 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7181 loss: 0.7181 2022/08/09 16:05:38 - mmengine - INFO - Epoch(train) [43][860/1879] lr: 2.0000e-03 eta: 4:04:38 time: 1.0389 data_time: 0.0239 memory: 27035 grad_norm: 4.1798 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7493 loss: 0.7493 2022/08/09 16:05:59 - mmengine - INFO - Epoch(train) [43][880/1879] lr: 2.0000e-03 eta: 4:04:17 time: 1.0337 data_time: 0.0213 memory: 27035 grad_norm: 4.2924 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6763 loss: 0.6763 2022/08/09 16:06:19 - mmengine - INFO - Epoch(train) [43][900/1879] lr: 2.0000e-03 eta: 4:03:56 time: 1.0344 data_time: 0.0210 memory: 27035 grad_norm: 4.1590 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6917 loss: 0.6917 2022/08/09 16:06:40 - mmengine - INFO - Epoch(train) [43][920/1879] lr: 2.0000e-03 eta: 4:03:36 time: 1.0310 data_time: 0.0220 memory: 27035 grad_norm: 4.1992 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7759 loss: 0.7759 2022/08/09 16:07:01 - mmengine - INFO - Epoch(train) [43][940/1879] lr: 2.0000e-03 eta: 4:03:15 time: 1.0367 data_time: 0.0286 memory: 27035 grad_norm: 4.1819 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6601 loss: 0.6601 2022/08/09 16:07:22 - mmengine - INFO - Epoch(train) [43][960/1879] lr: 2.0000e-03 eta: 4:02:54 time: 1.0341 data_time: 0.0229 memory: 27035 grad_norm: 4.0814 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7772 loss: 0.7772 2022/08/09 16:07:42 - mmengine - INFO - Epoch(train) [43][980/1879] lr: 2.0000e-03 eta: 4:02:33 time: 1.0376 data_time: 0.0249 memory: 27035 grad_norm: 4.2039 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7809 loss: 0.7809 2022/08/09 16:08:03 - mmengine - INFO - Epoch(train) [43][1000/1879] lr: 2.0000e-03 eta: 4:02:13 time: 1.0374 data_time: 0.0233 memory: 27035 grad_norm: 4.1427 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9018 loss: 0.9018 2022/08/09 16:08:24 - mmengine - INFO - Epoch(train) [43][1020/1879] lr: 2.0000e-03 eta: 4:01:52 time: 1.0343 data_time: 0.0217 memory: 27035 grad_norm: 3.9801 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7278 loss: 0.7278 2022/08/09 16:08:45 - mmengine - INFO - Epoch(train) [43][1040/1879] lr: 2.0000e-03 eta: 4:01:31 time: 1.0385 data_time: 0.0230 memory: 27035 grad_norm: 4.2904 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8962 loss: 0.8962 2022/08/09 16:09:05 - mmengine - INFO - Epoch(train) [43][1060/1879] lr: 2.0000e-03 eta: 4:01:11 time: 1.0325 data_time: 0.0212 memory: 27035 grad_norm: 4.2171 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7829 loss: 0.7829 2022/08/09 16:09:26 - mmengine - INFO - Epoch(train) [43][1080/1879] lr: 2.0000e-03 eta: 4:00:50 time: 1.0348 data_time: 0.0235 memory: 27035 grad_norm: 4.1624 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7039 loss: 0.7039 2022/08/09 16:09:28 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 16:09:47 - mmengine - INFO - Epoch(train) [43][1100/1879] lr: 2.0000e-03 eta: 4:00:29 time: 1.0344 data_time: 0.0251 memory: 27035 grad_norm: 4.1856 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7663 loss: 0.7663 2022/08/09 16:10:07 - mmengine - INFO - Epoch(train) [43][1120/1879] lr: 2.0000e-03 eta: 4:00:08 time: 1.0347 data_time: 0.0181 memory: 27035 grad_norm: 4.3073 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8546 loss: 0.8546 2022/08/09 16:10:29 - mmengine - INFO - Epoch(train) [43][1140/1879] lr: 2.0000e-03 eta: 3:59:48 time: 1.1067 data_time: 0.0611 memory: 27035 grad_norm: 4.0135 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5883 loss: 0.5883 2022/08/09 16:10:50 - mmengine - INFO - Epoch(train) [43][1160/1879] lr: 2.0000e-03 eta: 3:59:27 time: 1.0367 data_time: 0.0204 memory: 27035 grad_norm: 4.1546 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8225 loss: 0.8225 2022/08/09 16:11:11 - mmengine - INFO - Epoch(train) [43][1180/1879] lr: 2.0000e-03 eta: 3:59:07 time: 1.0318 data_time: 0.0218 memory: 27035 grad_norm: 4.1995 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7418 loss: 0.7418 2022/08/09 16:11:32 - mmengine - INFO - Epoch(train) [43][1200/1879] lr: 2.0000e-03 eta: 3:58:46 time: 1.0373 data_time: 0.0230 memory: 27035 grad_norm: 4.1473 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6912 loss: 0.6912 2022/08/09 16:11:52 - mmengine - INFO - Epoch(train) [43][1220/1879] lr: 2.0000e-03 eta: 3:58:25 time: 1.0339 data_time: 0.0211 memory: 27035 grad_norm: 4.0650 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7500 loss: 0.7500 2022/08/09 16:12:13 - mmengine - INFO - Epoch(train) [43][1240/1879] lr: 2.0000e-03 eta: 3:58:04 time: 1.0343 data_time: 0.0227 memory: 27035 grad_norm: 4.1708 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8827 loss: 0.8827 2022/08/09 16:12:34 - mmengine - INFO - Epoch(train) [43][1260/1879] lr: 2.0000e-03 eta: 3:57:44 time: 1.0371 data_time: 0.0209 memory: 27035 grad_norm: 4.1831 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8101 loss: 0.8101 2022/08/09 16:12:54 - mmengine - INFO - Epoch(train) [43][1280/1879] lr: 2.0000e-03 eta: 3:57:23 time: 1.0368 data_time: 0.0220 memory: 27035 grad_norm: 4.1707 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7751 loss: 0.7751 2022/08/09 16:13:15 - mmengine - INFO - Epoch(train) [43][1300/1879] lr: 2.0000e-03 eta: 3:57:02 time: 1.0325 data_time: 0.0231 memory: 27035 grad_norm: 4.2071 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7573 loss: 0.7573 2022/08/09 16:13:36 - mmengine - INFO - Epoch(train) [43][1320/1879] lr: 2.0000e-03 eta: 3:56:42 time: 1.0329 data_time: 0.0243 memory: 27035 grad_norm: 4.2198 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6785 loss: 0.6785 2022/08/09 16:13:56 - mmengine - INFO - Epoch(train) [43][1340/1879] lr: 2.0000e-03 eta: 3:56:21 time: 1.0329 data_time: 0.0210 memory: 27035 grad_norm: 4.1811 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6184 loss: 0.6184 2022/08/09 16:14:17 - mmengine - INFO - Epoch(train) [43][1360/1879] lr: 2.0000e-03 eta: 3:56:00 time: 1.0385 data_time: 0.0224 memory: 27035 grad_norm: 4.1825 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8153 loss: 0.8153 2022/08/09 16:14:38 - mmengine - INFO - Epoch(train) [43][1380/1879] lr: 2.0000e-03 eta: 3:55:39 time: 1.0359 data_time: 0.0232 memory: 27035 grad_norm: 4.1411 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8118 loss: 0.8118 2022/08/09 16:14:59 - mmengine - INFO - Epoch(train) [43][1400/1879] lr: 2.0000e-03 eta: 3:55:19 time: 1.0384 data_time: 0.0219 memory: 27035 grad_norm: 4.1177 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6710 loss: 0.6710 2022/08/09 16:15:20 - mmengine - INFO - Epoch(train) [43][1420/1879] lr: 2.0000e-03 eta: 3:54:58 time: 1.0570 data_time: 0.0214 memory: 27035 grad_norm: 4.2058 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.6708 loss: 0.6708 2022/08/09 16:15:41 - mmengine - INFO - Epoch(train) [43][1440/1879] lr: 2.0000e-03 eta: 3:54:37 time: 1.0413 data_time: 0.0235 memory: 27035 grad_norm: 4.1719 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7763 loss: 0.7763 2022/08/09 16:16:01 - mmengine - INFO - Epoch(train) [43][1460/1879] lr: 2.0000e-03 eta: 3:54:17 time: 1.0347 data_time: 0.0220 memory: 27035 grad_norm: 4.0940 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7462 loss: 0.7462 2022/08/09 16:16:22 - mmengine - INFO - Epoch(train) [43][1480/1879] lr: 2.0000e-03 eta: 3:53:56 time: 1.0304 data_time: 0.0202 memory: 27035 grad_norm: 4.1273 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7882 loss: 0.7882 2022/08/09 16:16:43 - mmengine - INFO - Epoch(train) [43][1500/1879] lr: 2.0000e-03 eta: 3:53:35 time: 1.0368 data_time: 0.0206 memory: 27035 grad_norm: 4.2948 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8108 loss: 0.8108 2022/08/09 16:17:04 - mmengine - INFO - Epoch(train) [43][1520/1879] lr: 2.0000e-03 eta: 3:53:14 time: 1.0350 data_time: 0.0221 memory: 27035 grad_norm: 4.1810 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.7998 loss: 0.7998 2022/08/09 16:17:25 - mmengine - INFO - Epoch(train) [43][1540/1879] lr: 2.0000e-03 eta: 3:52:54 time: 1.0578 data_time: 0.0459 memory: 27035 grad_norm: 4.1294 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8343 loss: 0.8343 2022/08/09 16:17:46 - mmengine - INFO - Epoch(train) [43][1560/1879] lr: 2.0000e-03 eta: 3:52:33 time: 1.0470 data_time: 0.0244 memory: 27035 grad_norm: 4.3000 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7066 loss: 0.7066 2022/08/09 16:18:06 - mmengine - INFO - Epoch(train) [43][1580/1879] lr: 2.0000e-03 eta: 3:52:12 time: 1.0345 data_time: 0.0211 memory: 27035 grad_norm: 4.1427 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7279 loss: 0.7279 2022/08/09 16:18:27 - mmengine - INFO - Epoch(train) [43][1600/1879] lr: 2.0000e-03 eta: 3:51:52 time: 1.0507 data_time: 0.0324 memory: 27035 grad_norm: 4.1523 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7425 loss: 0.7425 2022/08/09 16:18:48 - mmengine - INFO - Epoch(train) [43][1620/1879] lr: 2.0000e-03 eta: 3:51:31 time: 1.0380 data_time: 0.0239 memory: 27035 grad_norm: 4.1486 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7455 loss: 0.7455 2022/08/09 16:19:09 - mmengine - INFO - Epoch(train) [43][1640/1879] lr: 2.0000e-03 eta: 3:51:10 time: 1.0332 data_time: 0.0204 memory: 27035 grad_norm: 4.0365 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7798 loss: 0.7798 2022/08/09 16:19:30 - mmengine - INFO - Epoch(train) [43][1660/1879] lr: 2.0000e-03 eta: 3:50:50 time: 1.0356 data_time: 0.0209 memory: 27035 grad_norm: 4.2037 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7488 loss: 0.7488 2022/08/09 16:19:50 - mmengine - INFO - Epoch(train) [43][1680/1879] lr: 2.0000e-03 eta: 3:50:29 time: 1.0403 data_time: 0.0248 memory: 27035 grad_norm: 4.2432 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7033 loss: 0.7033 2022/08/09 16:20:11 - mmengine - INFO - Epoch(train) [43][1700/1879] lr: 2.0000e-03 eta: 3:50:08 time: 1.0366 data_time: 0.0225 memory: 27035 grad_norm: 4.0935 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7850 loss: 0.7850 2022/08/09 16:20:32 - mmengine - INFO - Epoch(train) [43][1720/1879] lr: 2.0000e-03 eta: 3:49:47 time: 1.0311 data_time: 0.0234 memory: 27035 grad_norm: 4.2466 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0304 loss: 1.0304 2022/08/09 16:20:53 - mmengine - INFO - Epoch(train) [43][1740/1879] lr: 2.0000e-03 eta: 3:49:27 time: 1.0405 data_time: 0.0219 memory: 27035 grad_norm: 4.1948 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7637 loss: 0.7637 2022/08/09 16:21:13 - mmengine - INFO - Epoch(train) [43][1760/1879] lr: 2.0000e-03 eta: 3:49:06 time: 1.0370 data_time: 0.0228 memory: 27035 grad_norm: 4.2035 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7674 loss: 0.7674 2022/08/09 16:21:34 - mmengine - INFO - Epoch(train) [43][1780/1879] lr: 2.0000e-03 eta: 3:48:45 time: 1.0365 data_time: 0.0282 memory: 27035 grad_norm: 4.2017 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9418 loss: 0.9418 2022/08/09 16:21:55 - mmengine - INFO - Epoch(train) [43][1800/1879] lr: 2.0000e-03 eta: 3:48:25 time: 1.0365 data_time: 0.0225 memory: 27035 grad_norm: 4.2937 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8650 loss: 0.8650 2022/08/09 16:22:16 - mmengine - INFO - Epoch(train) [43][1820/1879] lr: 2.0000e-03 eta: 3:48:04 time: 1.0386 data_time: 0.0217 memory: 27035 grad_norm: 4.3653 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7295 loss: 0.7295 2022/08/09 16:22:36 - mmengine - INFO - Epoch(train) [43][1840/1879] lr: 2.0000e-03 eta: 3:47:43 time: 1.0463 data_time: 0.0233 memory: 27035 grad_norm: 4.2734 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7824 loss: 0.7824 2022/08/09 16:22:57 - mmengine - INFO - Epoch(train) [43][1860/1879] lr: 2.0000e-03 eta: 3:47:23 time: 1.0459 data_time: 0.0209 memory: 27035 grad_norm: 4.2419 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7384 loss: 0.7384 2022/08/09 16:23:16 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 16:23:16 - mmengine - INFO - Epoch(train) [43][1879/1879] lr: 2.0000e-03 eta: 3:47:23 time: 1.0010 data_time: 0.0194 memory: 27035 grad_norm: 4.3397 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.7807 loss: 0.7807 2022/08/09 16:23:37 - mmengine - INFO - Epoch(val) [43][20/155] eta: 0:02:17 time: 1.0221 data_time: 0.7534 memory: 3270 2022/08/09 16:23:46 - mmengine - INFO - Epoch(val) [43][40/155] eta: 0:00:50 time: 0.4370 data_time: 0.1710 memory: 3270 2022/08/09 16:23:57 - mmengine - INFO - Epoch(val) [43][60/155] eta: 0:00:53 time: 0.5680 data_time: 0.3039 memory: 3270 2022/08/09 16:24:12 - mmengine - INFO - Epoch(val) [43][80/155] eta: 0:00:56 time: 0.7510 data_time: 0.4864 memory: 3270 2022/08/09 16:24:24 - mmengine - INFO - Epoch(val) [43][100/155] eta: 0:00:31 time: 0.5773 data_time: 0.3104 memory: 3270 2022/08/09 16:24:35 - mmengine - INFO - Epoch(val) [43][120/155] eta: 0:00:19 time: 0.5627 data_time: 0.2974 memory: 3270 2022/08/09 16:24:47 - mmengine - INFO - Epoch(val) [43][140/155] eta: 0:00:08 time: 0.5847 data_time: 0.3190 memory: 3270 2022/08/09 16:25:13 - mmengine - INFO - Epoch(val) [43][155/155] acc/top1: 0.7282 acc/top5: 0.9102 acc/mean1: 0.7281 2022/08/09 16:25:42 - mmengine - INFO - Epoch(train) [44][20/1879] lr: 2.0000e-03 eta: 3:46:40 time: 1.4582 data_time: 0.2470 memory: 27035 grad_norm: 3.9493 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7347 loss: 0.7347 2022/08/09 16:26:03 - mmengine - INFO - Epoch(train) [44][40/1879] lr: 2.0000e-03 eta: 3:46:20 time: 1.0339 data_time: 0.0221 memory: 27035 grad_norm: 4.1619 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7825 loss: 0.7825 2022/08/09 16:26:23 - mmengine - INFO - Epoch(train) [44][60/1879] lr: 2.0000e-03 eta: 3:45:59 time: 1.0328 data_time: 0.0220 memory: 27035 grad_norm: 4.0884 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7536 loss: 0.7536 2022/08/09 16:26:44 - mmengine - INFO - Epoch(train) [44][80/1879] lr: 2.0000e-03 eta: 3:45:38 time: 1.0377 data_time: 0.0224 memory: 27035 grad_norm: 4.1191 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7953 loss: 0.7953 2022/08/09 16:27:05 - mmengine - INFO - Epoch(train) [44][100/1879] lr: 2.0000e-03 eta: 3:45:18 time: 1.0403 data_time: 0.0218 memory: 27035 grad_norm: 4.1407 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6817 loss: 0.6817 2022/08/09 16:27:26 - mmengine - INFO - Epoch(train) [44][120/1879] lr: 2.0000e-03 eta: 3:44:57 time: 1.0536 data_time: 0.0325 memory: 27035 grad_norm: 4.2112 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8619 loss: 0.8619 2022/08/09 16:27:47 - mmengine - INFO - Epoch(train) [44][140/1879] lr: 2.0000e-03 eta: 3:44:36 time: 1.0404 data_time: 0.0236 memory: 27035 grad_norm: 4.2398 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7503 loss: 0.7503 2022/08/09 16:28:07 - mmengine - INFO - Epoch(train) [44][160/1879] lr: 2.0000e-03 eta: 3:44:15 time: 1.0408 data_time: 0.0212 memory: 27035 grad_norm: 4.0378 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8065 loss: 0.8065 2022/08/09 16:28:28 - mmengine - INFO - Epoch(train) [44][180/1879] lr: 2.0000e-03 eta: 3:43:55 time: 1.0364 data_time: 0.0221 memory: 27035 grad_norm: 4.0897 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8238 loss: 0.8238 2022/08/09 16:28:49 - mmengine - INFO - Epoch(train) [44][200/1879] lr: 2.0000e-03 eta: 3:43:34 time: 1.0428 data_time: 0.0217 memory: 27035 grad_norm: 4.2094 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8852 loss: 0.8852 2022/08/09 16:28:52 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 16:29:10 - mmengine - INFO - Epoch(train) [44][220/1879] lr: 2.0000e-03 eta: 3:43:13 time: 1.0350 data_time: 0.0222 memory: 27035 grad_norm: 4.1187 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7007 loss: 0.7007 2022/08/09 16:29:30 - mmengine - INFO - Epoch(train) [44][240/1879] lr: 2.0000e-03 eta: 3:42:53 time: 1.0297 data_time: 0.0221 memory: 27035 grad_norm: 4.2625 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7448 loss: 0.7448 2022/08/09 16:29:51 - mmengine - INFO - Epoch(train) [44][260/1879] lr: 2.0000e-03 eta: 3:42:32 time: 1.0343 data_time: 0.0190 memory: 27035 grad_norm: 4.0532 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7502 loss: 0.7502 2022/08/09 16:30:12 - mmengine - INFO - Epoch(train) [44][280/1879] lr: 2.0000e-03 eta: 3:42:11 time: 1.0384 data_time: 0.0245 memory: 27035 grad_norm: 4.2278 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7442 loss: 0.7442 2022/08/09 16:30:33 - mmengine - INFO - Epoch(train) [44][300/1879] lr: 2.0000e-03 eta: 3:41:50 time: 1.0351 data_time: 0.0221 memory: 27035 grad_norm: 4.1920 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6982 loss: 0.6982 2022/08/09 16:30:53 - mmengine - INFO - Epoch(train) [44][320/1879] lr: 2.0000e-03 eta: 3:41:30 time: 1.0373 data_time: 0.0218 memory: 27035 grad_norm: 4.2858 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7420 loss: 0.7420 2022/08/09 16:31:14 - mmengine - INFO - Epoch(train) [44][340/1879] lr: 2.0000e-03 eta: 3:41:09 time: 1.0365 data_time: 0.0215 memory: 27035 grad_norm: 4.0716 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7608 loss: 0.7608 2022/08/09 16:31:35 - mmengine - INFO - Epoch(train) [44][360/1879] lr: 2.0000e-03 eta: 3:40:48 time: 1.0357 data_time: 0.0229 memory: 27035 grad_norm: 4.1944 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8267 loss: 0.8267 2022/08/09 16:31:56 - mmengine - INFO - Epoch(train) [44][380/1879] lr: 2.0000e-03 eta: 3:40:28 time: 1.0363 data_time: 0.0215 memory: 27035 grad_norm: 4.2384 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9042 loss: 0.9042 2022/08/09 16:32:16 - mmengine - INFO - Epoch(train) [44][400/1879] lr: 2.0000e-03 eta: 3:40:07 time: 1.0408 data_time: 0.0218 memory: 27035 grad_norm: 4.1969 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8014 loss: 0.8014 2022/08/09 16:32:37 - mmengine - INFO - Epoch(train) [44][420/1879] lr: 2.0000e-03 eta: 3:39:46 time: 1.0343 data_time: 0.0222 memory: 27035 grad_norm: 4.0361 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6915 loss: 0.6915 2022/08/09 16:32:58 - mmengine - INFO - Epoch(train) [44][440/1879] lr: 2.0000e-03 eta: 3:39:25 time: 1.0309 data_time: 0.0221 memory: 27035 grad_norm: 4.1401 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7115 loss: 0.7115 2022/08/09 16:33:18 - mmengine - INFO - Epoch(train) [44][460/1879] lr: 2.0000e-03 eta: 3:39:05 time: 1.0324 data_time: 0.0228 memory: 27035 grad_norm: 4.1795 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6890 loss: 0.6890 2022/08/09 16:33:39 - mmengine - INFO - Epoch(train) [44][480/1879] lr: 2.0000e-03 eta: 3:38:44 time: 1.0286 data_time: 0.0241 memory: 27035 grad_norm: 4.2750 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7734 loss: 0.7734 2022/08/09 16:34:00 - mmengine - INFO - Epoch(train) [44][500/1879] lr: 2.0000e-03 eta: 3:38:23 time: 1.0298 data_time: 0.0242 memory: 27035 grad_norm: 4.2253 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7119 loss: 0.7119 2022/08/09 16:34:20 - mmengine - INFO - Epoch(train) [44][520/1879] lr: 2.0000e-03 eta: 3:38:03 time: 1.0290 data_time: 0.0227 memory: 27035 grad_norm: 4.2288 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7026 loss: 0.7026 2022/08/09 16:34:41 - mmengine - INFO - Epoch(train) [44][540/1879] lr: 2.0000e-03 eta: 3:37:42 time: 1.0335 data_time: 0.0221 memory: 27035 grad_norm: 4.1006 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7593 loss: 0.7593 2022/08/09 16:35:01 - mmengine - INFO - Epoch(train) [44][560/1879] lr: 2.0000e-03 eta: 3:37:21 time: 1.0345 data_time: 0.0213 memory: 27035 grad_norm: 4.2034 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7270 loss: 0.7270 2022/08/09 16:35:22 - mmengine - INFO - Epoch(train) [44][580/1879] lr: 2.0000e-03 eta: 3:37:00 time: 1.0346 data_time: 0.0226 memory: 27035 grad_norm: 4.2011 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7025 loss: 0.7025 2022/08/09 16:35:43 - mmengine - INFO - Epoch(train) [44][600/1879] lr: 2.0000e-03 eta: 3:36:40 time: 1.0311 data_time: 0.0213 memory: 27035 grad_norm: 4.1909 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7469 loss: 0.7469 2022/08/09 16:36:04 - mmengine - INFO - Epoch(train) [44][620/1879] lr: 2.0000e-03 eta: 3:36:19 time: 1.0384 data_time: 0.0215 memory: 27035 grad_norm: 4.1545 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8379 loss: 0.8379 2022/08/09 16:36:24 - mmengine - INFO - Epoch(train) [44][640/1879] lr: 2.0000e-03 eta: 3:35:58 time: 1.0421 data_time: 0.0301 memory: 27035 grad_norm: 4.0917 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8267 loss: 0.8267 2022/08/09 16:36:45 - mmengine - INFO - Epoch(train) [44][660/1879] lr: 2.0000e-03 eta: 3:35:38 time: 1.0291 data_time: 0.0220 memory: 27035 grad_norm: 4.3287 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7953 loss: 0.7953 2022/08/09 16:37:06 - mmengine - INFO - Epoch(train) [44][680/1879] lr: 2.0000e-03 eta: 3:35:17 time: 1.0319 data_time: 0.0250 memory: 27035 grad_norm: 4.1921 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7358 loss: 0.7358 2022/08/09 16:37:27 - mmengine - INFO - Epoch(train) [44][700/1879] lr: 2.0000e-03 eta: 3:34:56 time: 1.0573 data_time: 0.0499 memory: 27035 grad_norm: 4.0352 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6500 loss: 0.6500 2022/08/09 16:37:48 - mmengine - INFO - Epoch(train) [44][720/1879] lr: 2.0000e-03 eta: 3:34:35 time: 1.0376 data_time: 0.0219 memory: 27035 grad_norm: 4.1192 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6162 loss: 0.6162 2022/08/09 16:38:08 - mmengine - INFO - Epoch(train) [44][740/1879] lr: 2.0000e-03 eta: 3:34:15 time: 1.0317 data_time: 0.0226 memory: 27035 grad_norm: 4.1261 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7215 loss: 0.7215 2022/08/09 16:38:29 - mmengine - INFO - Epoch(train) [44][760/1879] lr: 2.0000e-03 eta: 3:33:54 time: 1.0387 data_time: 0.0213 memory: 27035 grad_norm: 4.3160 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7541 loss: 0.7541 2022/08/09 16:38:50 - mmengine - INFO - Epoch(train) [44][780/1879] lr: 2.0000e-03 eta: 3:33:33 time: 1.0335 data_time: 0.0227 memory: 27035 grad_norm: 4.3476 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7274 loss: 0.7274 2022/08/09 16:39:10 - mmengine - INFO - Epoch(train) [44][800/1879] lr: 2.0000e-03 eta: 3:33:13 time: 1.0311 data_time: 0.0215 memory: 27035 grad_norm: 4.1261 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7105 loss: 0.7105 2022/08/09 16:39:31 - mmengine - INFO - Epoch(train) [44][820/1879] lr: 2.0000e-03 eta: 3:32:52 time: 1.0316 data_time: 0.0224 memory: 27035 grad_norm: 4.3394 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6368 loss: 0.6368 2022/08/09 16:39:52 - mmengine - INFO - Epoch(train) [44][840/1879] lr: 2.0000e-03 eta: 3:32:31 time: 1.0317 data_time: 0.0221 memory: 27035 grad_norm: 4.1720 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7856 loss: 0.7856 2022/08/09 16:40:12 - mmengine - INFO - Epoch(train) [44][860/1879] lr: 2.0000e-03 eta: 3:32:10 time: 1.0413 data_time: 0.0242 memory: 27035 grad_norm: 4.1775 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7075 loss: 0.7075 2022/08/09 16:40:33 - mmengine - INFO - Epoch(train) [44][880/1879] lr: 2.0000e-03 eta: 3:31:50 time: 1.0334 data_time: 0.0242 memory: 27035 grad_norm: 4.2350 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7847 loss: 0.7847 2022/08/09 16:40:54 - mmengine - INFO - Epoch(train) [44][900/1879] lr: 2.0000e-03 eta: 3:31:29 time: 1.0405 data_time: 0.0207 memory: 27035 grad_norm: 4.1695 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8947 loss: 0.8947 2022/08/09 16:41:15 - mmengine - INFO - Epoch(train) [44][920/1879] lr: 2.0000e-03 eta: 3:31:08 time: 1.0348 data_time: 0.0276 memory: 27035 grad_norm: 4.2742 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7973 loss: 0.7973 2022/08/09 16:41:35 - mmengine - INFO - Epoch(train) [44][940/1879] lr: 2.0000e-03 eta: 3:30:48 time: 1.0319 data_time: 0.0219 memory: 27035 grad_norm: 4.0565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7239 loss: 0.7239 2022/08/09 16:41:56 - mmengine - INFO - Epoch(train) [44][960/1879] lr: 2.0000e-03 eta: 3:30:27 time: 1.0312 data_time: 0.0216 memory: 27035 grad_norm: 4.2654 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7157 loss: 0.7157 2022/08/09 16:42:17 - mmengine - INFO - Epoch(train) [44][980/1879] lr: 2.0000e-03 eta: 3:30:06 time: 1.0403 data_time: 0.0218 memory: 27035 grad_norm: 4.3037 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7927 loss: 0.7927 2022/08/09 16:42:38 - mmengine - INFO - Epoch(train) [44][1000/1879] lr: 2.0000e-03 eta: 3:29:46 time: 1.0439 data_time: 0.0330 memory: 27035 grad_norm: 4.2144 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6538 loss: 0.6538 2022/08/09 16:42:58 - mmengine - INFO - Epoch(train) [44][1020/1879] lr: 2.0000e-03 eta: 3:29:25 time: 1.0378 data_time: 0.0221 memory: 27035 grad_norm: 4.2056 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8075 loss: 0.8075 2022/08/09 16:43:19 - mmengine - INFO - Epoch(train) [44][1040/1879] lr: 2.0000e-03 eta: 3:29:04 time: 1.0356 data_time: 0.0222 memory: 27035 grad_norm: 4.2586 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6972 loss: 0.6972 2022/08/09 16:43:40 - mmengine - INFO - Epoch(train) [44][1060/1879] lr: 2.0000e-03 eta: 3:28:43 time: 1.0383 data_time: 0.0212 memory: 27035 grad_norm: 4.1353 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7252 loss: 0.7252 2022/08/09 16:44:01 - mmengine - INFO - Epoch(train) [44][1080/1879] lr: 2.0000e-03 eta: 3:28:23 time: 1.0359 data_time: 0.0222 memory: 27035 grad_norm: 4.2887 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8033 loss: 0.8033 2022/08/09 16:44:21 - mmengine - INFO - Epoch(train) [44][1100/1879] lr: 2.0000e-03 eta: 3:28:02 time: 1.0399 data_time: 0.0220 memory: 27035 grad_norm: 4.3342 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6518 loss: 0.6518 2022/08/09 16:44:42 - mmengine - INFO - Epoch(train) [44][1120/1879] lr: 2.0000e-03 eta: 3:27:41 time: 1.0333 data_time: 0.0224 memory: 27035 grad_norm: 4.1644 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7704 loss: 0.7704 2022/08/09 16:45:03 - mmengine - INFO - Epoch(train) [44][1140/1879] lr: 2.0000e-03 eta: 3:27:21 time: 1.0313 data_time: 0.0229 memory: 27035 grad_norm: 4.2406 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8586 loss: 0.8586 2022/08/09 16:45:24 - mmengine - INFO - Epoch(train) [44][1160/1879] lr: 2.0000e-03 eta: 3:27:00 time: 1.0642 data_time: 0.0535 memory: 27035 grad_norm: 4.2170 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9165 loss: 0.9165 2022/08/09 16:45:45 - mmengine - INFO - Epoch(train) [44][1180/1879] lr: 2.0000e-03 eta: 3:26:39 time: 1.0343 data_time: 0.0215 memory: 27035 grad_norm: 4.2409 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7147 loss: 0.7147 2022/08/09 16:46:05 - mmengine - INFO - Epoch(train) [44][1200/1879] lr: 2.0000e-03 eta: 3:26:18 time: 1.0338 data_time: 0.0234 memory: 27035 grad_norm: 4.2726 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6945 loss: 0.6945 2022/08/09 16:46:09 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 16:46:26 - mmengine - INFO - Epoch(train) [44][1220/1879] lr: 2.0000e-03 eta: 3:25:58 time: 1.0330 data_time: 0.0197 memory: 27035 grad_norm: 4.1827 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7277 loss: 0.7277 2022/08/09 16:46:47 - mmengine - INFO - Epoch(train) [44][1240/1879] lr: 2.0000e-03 eta: 3:25:37 time: 1.0430 data_time: 0.0228 memory: 27035 grad_norm: 4.3136 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6379 loss: 0.6379 2022/08/09 16:47:08 - mmengine - INFO - Epoch(train) [44][1260/1879] lr: 2.0000e-03 eta: 3:25:16 time: 1.0380 data_time: 0.0223 memory: 27035 grad_norm: 4.2944 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9073 loss: 0.9073 2022/08/09 16:47:29 - mmengine - INFO - Epoch(train) [44][1280/1879] lr: 2.0000e-03 eta: 3:24:56 time: 1.0584 data_time: 0.0431 memory: 27035 grad_norm: 4.1915 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7329 loss: 0.7329 2022/08/09 16:47:50 - mmengine - INFO - Epoch(train) [44][1300/1879] lr: 2.0000e-03 eta: 3:24:35 time: 1.0358 data_time: 0.0211 memory: 27035 grad_norm: 4.2585 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7624 loss: 0.7624 2022/08/09 16:48:10 - mmengine - INFO - Epoch(train) [44][1320/1879] lr: 2.0000e-03 eta: 3:24:14 time: 1.0320 data_time: 0.0218 memory: 27035 grad_norm: 4.2167 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7220 loss: 0.7220 2022/08/09 16:48:31 - mmengine - INFO - Epoch(train) [44][1340/1879] lr: 2.0000e-03 eta: 3:23:54 time: 1.0389 data_time: 0.0218 memory: 27035 grad_norm: 4.2687 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6335 loss: 0.6335 2022/08/09 16:48:52 - mmengine - INFO - Epoch(train) [44][1360/1879] lr: 2.0000e-03 eta: 3:23:33 time: 1.0341 data_time: 0.0218 memory: 27035 grad_norm: 4.0907 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8023 loss: 0.8023 2022/08/09 16:49:12 - mmengine - INFO - Epoch(train) [44][1380/1879] lr: 2.0000e-03 eta: 3:23:12 time: 1.0359 data_time: 0.0238 memory: 27035 grad_norm: 4.2214 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7679 loss: 0.7679 2022/08/09 16:49:33 - mmengine - INFO - Epoch(train) [44][1400/1879] lr: 2.0000e-03 eta: 3:22:51 time: 1.0331 data_time: 0.0224 memory: 27035 grad_norm: 4.3465 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7573 loss: 0.7573 2022/08/09 16:49:54 - mmengine - INFO - Epoch(train) [44][1420/1879] lr: 2.0000e-03 eta: 3:22:31 time: 1.0367 data_time: 0.0219 memory: 27035 grad_norm: 4.3041 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6429 loss: 0.6429 2022/08/09 16:50:15 - mmengine - INFO - Epoch(train) [44][1440/1879] lr: 2.0000e-03 eta: 3:22:10 time: 1.0438 data_time: 0.0233 memory: 27035 grad_norm: 4.2669 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7558 loss: 0.7558 2022/08/09 16:50:36 - mmengine - INFO - Epoch(train) [44][1460/1879] lr: 2.0000e-03 eta: 3:21:49 time: 1.0356 data_time: 0.0221 memory: 27035 grad_norm: 4.2336 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7785 loss: 0.7785 2022/08/09 16:50:56 - mmengine - INFO - Epoch(train) [44][1480/1879] lr: 2.0000e-03 eta: 3:21:29 time: 1.0339 data_time: 0.0197 memory: 27035 grad_norm: 4.1982 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7407 loss: 0.7407 2022/08/09 16:51:17 - mmengine - INFO - Epoch(train) [44][1500/1879] lr: 2.0000e-03 eta: 3:21:08 time: 1.0365 data_time: 0.0235 memory: 27035 grad_norm: 4.3668 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7614 loss: 0.7614 2022/08/09 16:51:38 - mmengine - INFO - Epoch(train) [44][1520/1879] lr: 2.0000e-03 eta: 3:20:47 time: 1.0333 data_time: 0.0203 memory: 27035 grad_norm: 4.2095 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7503 loss: 0.7503 2022/08/09 16:51:58 - mmengine - INFO - Epoch(train) [44][1540/1879] lr: 2.0000e-03 eta: 3:20:26 time: 1.0340 data_time: 0.0210 memory: 27035 grad_norm: 4.4000 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7660 loss: 0.7660 2022/08/09 16:52:19 - mmengine - INFO - Epoch(train) [44][1560/1879] lr: 2.0000e-03 eta: 3:20:06 time: 1.0374 data_time: 0.0225 memory: 27035 grad_norm: 4.2726 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7544 loss: 0.7544 2022/08/09 16:52:40 - mmengine - INFO - Epoch(train) [44][1580/1879] lr: 2.0000e-03 eta: 3:19:45 time: 1.0369 data_time: 0.0206 memory: 27035 grad_norm: 4.2277 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8732 loss: 0.8732 2022/08/09 16:53:00 - mmengine - INFO - Epoch(train) [44][1600/1879] lr: 2.0000e-03 eta: 3:19:24 time: 1.0329 data_time: 0.0214 memory: 27035 grad_norm: 4.1829 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6854 loss: 0.6854 2022/08/09 16:53:21 - mmengine - INFO - Epoch(train) [44][1620/1879] lr: 2.0000e-03 eta: 3:19:04 time: 1.0325 data_time: 0.0218 memory: 27035 grad_norm: 4.1773 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6713 loss: 0.6713 2022/08/09 16:53:42 - mmengine - INFO - Epoch(train) [44][1640/1879] lr: 2.0000e-03 eta: 3:18:43 time: 1.0348 data_time: 0.0220 memory: 27035 grad_norm: 4.1627 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7946 loss: 0.7946 2022/08/09 16:54:03 - mmengine - INFO - Epoch(train) [44][1660/1879] lr: 2.0000e-03 eta: 3:18:22 time: 1.0342 data_time: 0.0220 memory: 27035 grad_norm: 4.2022 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6753 loss: 0.6753 2022/08/09 16:54:23 - mmengine - INFO - Epoch(train) [44][1680/1879] lr: 2.0000e-03 eta: 3:18:01 time: 1.0397 data_time: 0.0222 memory: 27035 grad_norm: 4.1661 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7273 loss: 0.7273 2022/08/09 16:54:44 - mmengine - INFO - Epoch(train) [44][1700/1879] lr: 2.0000e-03 eta: 3:17:41 time: 1.0386 data_time: 0.0231 memory: 27035 grad_norm: 4.3052 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6049 loss: 0.6049 2022/08/09 16:55:05 - mmengine - INFO - Epoch(train) [44][1720/1879] lr: 2.0000e-03 eta: 3:17:20 time: 1.0431 data_time: 0.0206 memory: 27035 grad_norm: 4.3228 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9455 loss: 0.9455 2022/08/09 16:55:27 - mmengine - INFO - Epoch(train) [44][1740/1879] lr: 2.0000e-03 eta: 3:17:00 time: 1.1185 data_time: 0.0969 memory: 27035 grad_norm: 4.1909 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7456 loss: 0.7456 2022/08/09 16:55:48 - mmengine - INFO - Epoch(train) [44][1760/1879] lr: 2.0000e-03 eta: 3:16:39 time: 1.0375 data_time: 0.0228 memory: 27035 grad_norm: 4.3136 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8387 loss: 0.8387 2022/08/09 16:56:09 - mmengine - INFO - Epoch(train) [44][1780/1879] lr: 2.0000e-03 eta: 3:16:18 time: 1.0317 data_time: 0.0217 memory: 27035 grad_norm: 4.2547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8346 loss: 0.8346 2022/08/09 16:56:29 - mmengine - INFO - Epoch(train) [44][1800/1879] lr: 2.0000e-03 eta: 3:15:57 time: 1.0314 data_time: 0.0229 memory: 27035 grad_norm: 4.3226 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7985 loss: 0.7985 2022/08/09 16:56:50 - mmengine - INFO - Epoch(train) [44][1820/1879] lr: 2.0000e-03 eta: 3:15:37 time: 1.0319 data_time: 0.0222 memory: 27035 grad_norm: 4.1551 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8049 loss: 0.8049 2022/08/09 16:57:11 - mmengine - INFO - Epoch(train) [44][1840/1879] lr: 2.0000e-03 eta: 3:15:16 time: 1.0394 data_time: 0.0277 memory: 27035 grad_norm: 4.5142 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8020 loss: 0.8020 2022/08/09 16:57:32 - mmengine - INFO - Epoch(train) [44][1860/1879] lr: 2.0000e-03 eta: 3:14:55 time: 1.0503 data_time: 0.0375 memory: 27035 grad_norm: 4.1452 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7640 loss: 0.7640 2022/08/09 16:57:51 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 16:57:51 - mmengine - INFO - Epoch(train) [44][1879/1879] lr: 2.0000e-03 eta: 3:14:55 time: 1.0006 data_time: 0.0190 memory: 27035 grad_norm: 4.3011 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.7917 loss: 0.7917 2022/08/09 16:58:10 - mmengine - INFO - Epoch(val) [44][20/155] eta: 0:02:06 time: 0.9406 data_time: 0.6728 memory: 3270 2022/08/09 16:58:23 - mmengine - INFO - Epoch(val) [44][40/155] eta: 0:01:16 time: 0.6641 data_time: 0.3999 memory: 3270 2022/08/09 16:58:36 - mmengine - INFO - Epoch(val) [44][60/155] eta: 0:00:59 time: 0.6280 data_time: 0.3663 memory: 3270 2022/08/09 16:58:51 - mmengine - INFO - Epoch(val) [44][80/155] eta: 0:00:56 time: 0.7523 data_time: 0.4887 memory: 3270 2022/08/09 16:59:01 - mmengine - INFO - Epoch(val) [44][100/155] eta: 0:00:27 time: 0.4961 data_time: 0.2301 memory: 3270 2022/08/09 16:59:16 - mmengine - INFO - Epoch(val) [44][120/155] eta: 0:00:26 time: 0.7528 data_time: 0.4892 memory: 3270 2022/08/09 16:59:33 - mmengine - INFO - Epoch(val) [44][140/155] eta: 0:00:13 time: 0.8846 data_time: 0.6206 memory: 3270 2022/08/09 16:59:55 - mmengine - INFO - Epoch(val) [44][155/155] acc/top1: 0.7267 acc/top5: 0.9052 acc/mean1: 0.7266 2022/08/09 17:00:25 - mmengine - INFO - Epoch(train) [45][20/1879] lr: 2.0000e-03 eta: 3:14:14 time: 1.5055 data_time: 0.2305 memory: 27035 grad_norm: 4.1369 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7271 loss: 0.7271 2022/08/09 17:00:46 - mmengine - INFO - Epoch(train) [45][40/1879] lr: 2.0000e-03 eta: 3:13:53 time: 1.0393 data_time: 0.0210 memory: 27035 grad_norm: 4.1015 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6302 loss: 0.6302 2022/08/09 17:01:06 - mmengine - INFO - Epoch(train) [45][60/1879] lr: 2.0000e-03 eta: 3:13:32 time: 1.0312 data_time: 0.0216 memory: 27035 grad_norm: 4.1809 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7358 loss: 0.7358 2022/08/09 17:01:27 - mmengine - INFO - Epoch(train) [45][80/1879] lr: 2.0000e-03 eta: 3:13:11 time: 1.0417 data_time: 0.0279 memory: 27035 grad_norm: 4.0874 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6604 loss: 0.6604 2022/08/09 17:01:48 - mmengine - INFO - Epoch(train) [45][100/1879] lr: 2.0000e-03 eta: 3:12:51 time: 1.0306 data_time: 0.0206 memory: 27035 grad_norm: 4.1092 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6206 loss: 0.6206 2022/08/09 17:02:09 - mmengine - INFO - Epoch(train) [45][120/1879] lr: 2.0000e-03 eta: 3:12:30 time: 1.0332 data_time: 0.0214 memory: 27035 grad_norm: 4.1733 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6411 loss: 0.6411 2022/08/09 17:02:29 - mmengine - INFO - Epoch(train) [45][140/1879] lr: 2.0000e-03 eta: 3:12:09 time: 1.0328 data_time: 0.0227 memory: 27035 grad_norm: 4.1070 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6957 loss: 0.6957 2022/08/09 17:02:50 - mmengine - INFO - Epoch(train) [45][160/1879] lr: 2.0000e-03 eta: 3:11:49 time: 1.0338 data_time: 0.0202 memory: 27035 grad_norm: 4.1990 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8574 loss: 0.8574 2022/08/09 17:03:11 - mmengine - INFO - Epoch(train) [45][180/1879] lr: 2.0000e-03 eta: 3:11:28 time: 1.0432 data_time: 0.0320 memory: 27035 grad_norm: 4.1509 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7066 loss: 0.7066 2022/08/09 17:03:32 - mmengine - INFO - Epoch(train) [45][200/1879] lr: 2.0000e-03 eta: 3:11:07 time: 1.0466 data_time: 0.0208 memory: 27035 grad_norm: 4.1474 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7234 loss: 0.7234 2022/08/09 17:03:52 - mmengine - INFO - Epoch(train) [45][220/1879] lr: 2.0000e-03 eta: 3:10:46 time: 1.0283 data_time: 0.0232 memory: 27035 grad_norm: 4.2017 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7269 loss: 0.7269 2022/08/09 17:04:13 - mmengine - INFO - Epoch(train) [45][240/1879] lr: 2.0000e-03 eta: 3:10:26 time: 1.0306 data_time: 0.0228 memory: 27035 grad_norm: 4.1574 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7821 loss: 0.7821 2022/08/09 17:04:33 - mmengine - INFO - Epoch(train) [45][260/1879] lr: 2.0000e-03 eta: 3:10:05 time: 1.0288 data_time: 0.0228 memory: 27035 grad_norm: 4.1018 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7589 loss: 0.7589 2022/08/09 17:04:54 - mmengine - INFO - Epoch(train) [45][280/1879] lr: 2.0000e-03 eta: 3:09:44 time: 1.0293 data_time: 0.0235 memory: 27035 grad_norm: 4.1895 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7834 loss: 0.7834 2022/08/09 17:05:15 - mmengine - INFO - Epoch(train) [45][300/1879] lr: 2.0000e-03 eta: 3:09:24 time: 1.0388 data_time: 0.0265 memory: 27035 grad_norm: 4.1915 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7487 loss: 0.7487 2022/08/09 17:05:36 - mmengine - INFO - Epoch(train) [45][320/1879] lr: 2.0000e-03 eta: 3:09:03 time: 1.0357 data_time: 0.0219 memory: 27035 grad_norm: 4.2399 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8308 loss: 0.8308 2022/08/09 17:05:40 - mmengine - INFO - Exp name: tsm_r50_1x1x16_50e_kinetics400_rgb_20220808_153011 2022/08/09 17:05:56 - mmengine - INFO - Epoch(train) [45][340/1879] lr: 2.0000e-03 eta: 3:08:42 time: 1.0328 data_time: 0.0234 memory: 27035 grad_norm: 4.1508 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6964 loss: 0.6964 2022/08/09 17:06:17 - mmengine - INFO - Epoch(train) [45][360/1879] lr: 2.0000e-03 eta: 3:08:21 time: 1.0336 data_time: 0.0235 memory: 27035 grad_norm: 4.2853 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6755 loss: 0.6755 2022/08/09 17:06:37 - mmengine - INFO - Epoch(train) [45][380/1879] lr: 2.0000e-03 eta: 3:08:01 time: 1.0286 data_time: 0.0201 memory: 27035 grad_norm: 4.3286 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7621 loss: 0.7621 2022/08/09 17:06:58 - mmengine - INFO - Epoch(train) [45][400/1879] lr: 2.0000e-03 eta: 3:07:40 time: 1.0297 data_time: 0.0221 memory: 27035 grad_norm: 4.2779 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7256 loss: 0.7256 2022/08/09 17:07:19 - mmengine - INFO - Epoch(train) [45][420/1879] lr: 2.0000e-03 eta: 3:07:19 time: 1.0319 data_time: 0.0211 memory: 27035 grad_norm: 4.2712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8053 loss: 0.8053 2022/08/09 17:07:39 - mmengine - INFO - Epoch(train) [45][440/1879] lr: 2.0000e-03 eta: 3:06:58 time: 1.0303 data_time: 0.0191 memory: 27035 grad_norm: 4.2065 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7421 loss: 0.7421 2022/08/09 17:08:00 - mmengine - INFO - Epoch(train) [45][460/1879] lr: 2.0000e-03 eta: 3:06:38 time: 1.0286 data_time: 0.0208 memory: 27035 grad_norm: 4.2427 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7229 loss: 0.7229 2022/08/09 17:08:20 - mmengine - INFO - Epoch(train) [45][480/1879] lr: 2.0000e-03 eta: 3:06:17 time: 1.0260 data_time: 0.0212 memory: 27035 grad_norm: 4.2617 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8637 loss: 0.8637 2022/08/09 17:08:41 - mmengine - INFO - Epoch(train) [45][500/1879] lr: 2.0000e-03 eta: 3:05:56 time: 1.0320 data_time: 0.0217 memory: 27035 grad_norm: 4.0912 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7598 loss: 0.7598 2022/08/09 17:09:02 - mmengine - INFO - Epoch(train) [45][520/1879] lr: 2.0000e-03 eta: 3:05:36 time: 1.0301 data_time: 0.0222 memory: 27035 grad_norm: 4.2699 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7693 loss: 0.7693 2022/08/09 17:09:22 - mmengine - INFO - Epoch(train) [45][540/1879] lr: 2.0000e-03 eta: 3:05:15 time: 1.0280 data_time: 0.0215 memory: 27035 grad_norm: 4.2183 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7947 loss: 0.7947 2022/08/09 17:09:43 - mmengine - INFO - Epoch(train) [45][560/1879] lr: 2.0000e-03 eta: 3:04:54 time: 1.0339 data_time: 0.0222 memory: 27035 grad_norm: 4.2981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8687 loss: 0.8687 2022/08/09 17:10:04 - mmengine - INFO - Epoch(train) [45][580/1879] lr: 2.0000e-03 eta: 3:04:33 time: 1.0293 data_time: 0.0208 memory: 27035 grad_norm: 4.2403 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7386 loss: 0.7386 2022/08/09 17:10:26 - mmengine - INFO - Epoch(train) [45][600/1879] lr: 2.0000e-03 eta: 3:04:13 time: 1.1251 data_time: 0.1065 memory: 27035 grad_norm: 4.2915 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7163 loss: 0.7163 2022/08/09 17:10:47 - mmengine - INFO - Epoch(train) [45][620/1879] lr: 2.0000e-03 eta: 3:03:52 time: 1.0309 data_time: 0.0214 memory: 27035 grad_norm: 4.3192 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7776 loss: 0.7776 2022/08/09 17:11:07 - mmengine - INFO - Epoch(train) [45][640/1879] lr: 2.0000e-03 eta: 3:03:31 time: 1.0283 data_time: 0.0219 memory: 27035 grad_norm: 4.3121 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9128 loss: 0.9128 2022/08/09 17:11:28 - mmengine - INFO - Epoch(train) [45][660/1879] lr: 2.0000e-03 eta: 3:03:11 time: 1.0305 data_time: 0.0217 memory: 27035 grad_norm: 4.3791 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8102 loss: 0.8102 2022/08/09 17:11:48 - mmengine - INFO - Epoch(train) [45][680/1879] lr: 2.0000e-03 eta: 3:02:50 time: 1.0276 data_time: 0.0221 memory: 27035 grad_norm: 4.1164 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6873 loss: 0.6873 2022/08/09 17:12:09 - mmengine - INFO - Epoch(train) [45][700/1879] lr: 2.0000e-03 eta: 3:02:29 time: 1.0351 data_time: 0.0225 memory: 27035 grad_norm: 4.3321 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7871 loss: 0.7871 2022/08/09 17:12:30 - mmengine - INFO - Epoch(train) [45][720/1879] lr: 2.0000e-03 eta: 3:02:09 time: 1.0337 data_time: 0.0230 memory: 27035 grad_norm: 4.3197 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6572 loss: 0.6572 2022/08/09 17:12:51 - mmengine - INFO - Epoch(train) [45][740/1879] lr: 2.0000e-03 eta: 3:01:48 time: 1.0338 data_time: 0.0241 memory: 27035 grad_norm: 4.1505 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8500 loss: 0.8500 2022/08/09 17:13:11 - mmengine - INFO - Epoch(train) [45][760/1879] lr: 2.0000e-03 eta: 3:01:27 time: 1.0315 data_time: 0.0212 memory: 27035 grad_norm: 4.3006 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8052 loss: 0.8052 2022/08/09 17:13:32 - mmengine - INFO - Epoch(train) [45][780/1879] lr: 2.0000e-03 eta: 3:01:06 time: 1.0346 data_time: 0.0216 memory: 27035 grad_norm: 4.2776 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6951 loss: 0.6951 2022/08/09 17:13:53 - mmengine - INFO - Epoch(train) [45][800/1879] lr: 2.0000e-03 eta: 3:00:46 time: 1.0360 data_time: 0.0216 memory: 27035 grad_norm: 4.2472 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7784 loss: 0.7784 2022/08/09 17:14:13 - mmengine - INFO - Epoch(train) [45][820/1879] lr: 2.0000e-03 eta: 3:00:25 time: 1.0326 data_time: 0.0219 memory: 27035 grad_norm: 4.4029 top1_acc: 0.6875 top5_acc: 0.9375 loss