2023/11/27 07:38:21 - mmengine - INFO - Iter(train) [ 500/120000] base_lr: 1.9999e-04 lr: 1.9999e-05 eta: 2 days, 0:24:47 time: 1.4585 data_time: 0.0141 memory: 20933 grad_norm: 0.7712 loss: 0.6846 detection_loss_cls: 0.1402 detection_loss_reg: 0.5444 2023/11/27 07:50:37 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433 2023/11/27 07:50:37 - mmengine - INFO - Iter(train) [ 1000/120000] base_lr: 1.9997e-04 lr: 1.9997e-05 eta: 2 days, 0:26:15 time: 1.4653 data_time: 0.0142 memory: 20933 grad_norm: 0.6524 loss: 0.6276 detection_loss_cls: 0.1166 detection_loss_reg: 0.5111 2023/11/27 08:02:57 - mmengine - INFO - Iter(train) [ 1500/120000] base_lr: 1.9992e-04 lr: 1.9993e-05 eta: 2 days, 0:23:14 time: 1.4700 data_time: 0.0142 memory: 20933 grad_norm: 0.6084 loss: 0.5940 detection_loss_cls: 0.1049 detection_loss_reg: 0.4892 2023/11/27 08:15:18 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433 2023/11/27 08:15:18 - mmengine - INFO - Iter(train) [ 2000/120000] base_lr: 1.9986e-04 lr: 1.9988e-05 eta: 2 days, 0:16:50 time: 1.4730 data_time: 0.0142 memory: 20933 grad_norm: 0.5861 loss: 0.5789 detection_loss_cls: 0.0987 detection_loss_reg: 0.4802 2023/11/27 08:27:38 - mmengine - INFO - Iter(train) [ 2500/120000] base_lr: 1.9979e-04 lr: 1.9981e-05 eta: 2 days, 0:07:27 time: 1.4744 data_time: 0.0142 memory: 20933 grad_norm: 0.5715 loss: 0.5728 detection_loss_cls: 0.0948 detection_loss_reg: 0.4780 2023/11/27 08:39:51 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433 2023/11/27 08:39:51 - mmengine - INFO - Iter(train) [ 3000/120000] base_lr: 1.9970e-04 lr: 1.9972e-05 eta: 1 day, 23:52:25 time: 1.4730 data_time: 0.0142 memory: 20933 grad_norm: 0.5612 loss: 0.5626 detection_loss_cls: 0.0910 detection_loss_reg: 0.4716 2023/11/27 08:52:07 - mmengine - INFO - Iter(train) [ 3500/120000] base_lr: 1.9958e-04 lr: 1.9962e-05 eta: 1 day, 23:39:51 time: 1.4729 data_time: 0.0142 memory: 20933 grad_norm: 0.5546 loss: 0.5569 detection_loss_cls: 0.0885 detection_loss_reg: 0.4684 2023/11/27 09:04:30 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433 2023/11/27 09:04:30 - mmengine - INFO - Iter(train) [ 4000/120000] base_lr: 1.9946e-04 lr: 1.9951e-05 eta: 1 day, 23:30:40 time: 1.4745 data_time: 0.0143 memory: 20933 grad_norm: 0.5479 loss: 0.5531 detection_loss_cls: 0.0864 detection_loss_reg: 0.4667 2023/11/27 09:16:54 - mmengine - INFO - Iter(train) [ 4500/120000] base_lr: 1.9931e-04 lr: 1.9938e-05 eta: 1 day, 23:21:18 time: 1.4782 data_time: 0.0143 memory: 20933 grad_norm: 0.5144 loss: 0.5317 detection_loss_cls: 0.0778 detection_loss_reg: 0.4538 2023/11/27 09:29:18 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433 2023/11/27 09:29:18 - mmengine - INFO - Iter(train) [ 5000/120000] base_lr: 1.9915e-04 lr: 1.9923e-05 eta: 1 day, 23:11:22 time: 1.4802 data_time: 0.0144 memory: 20933 grad_norm: 0.5112 loss: 0.5195 detection_loss_cls: 0.0742 detection_loss_reg: 0.4453 2023/11/27 09:31:49 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.3016 data_time: 0.0046 memory: 7032 2023/11/27 09:32:39 - mmengine - INFO - Evaluating bbox... 2023/11/27 09:33:34 - mmengine - INFO - bbox_mAP_copypaste: 0.209 0.356 0.220 0.121 0.263 0.268 2023/11/27 09:33:35 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.2090 coco/bbox_mAP_50: 0.3560 coco/bbox_mAP_75: 0.2200 coco/bbox_mAP_s: 0.1210 coco/bbox_mAP_m: 0.2630 coco/bbox_mAP_l: 0.2680 data_time: 0.0044 time: 0.3013 2023/11/27 09:46:04 - mmengine - INFO - Iter(train) [ 5500/120000] base_lr: 1.9898e-04 lr: 1.9907e-05 eta: 1 day, 23:26:22 time: 1.4996 data_time: 0.0315 memory: 20933 grad_norm: 0.5081 loss: 0.5146 detection_loss_cls: 0.0722 detection_loss_reg: 0.4424 2023/11/27 09:58:34 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433 2023/11/27 09:58:34 - mmengine - INFO - Iter(train) [ 6000/120000] base_lr: 1.9878e-04 lr: 1.9889e-05 eta: 1 day, 23:15:14 time: 1.5019 data_time: 0.0315 memory: 20933 grad_norm: 0.5052 loss: 0.5073 detection_loss_cls: 0.0701 detection_loss_reg: 0.4372 2023/11/27 10:11:04 - mmengine - INFO - Iter(train) [ 6500/120000] base_lr: 1.9857e-04 lr: 1.9870e-05 eta: 1 day, 23:03:55 time: 1.5043 data_time: 0.0316 memory: 20933 grad_norm: 0.5034 loss: 0.4984 detection_loss_cls: 0.0683 detection_loss_reg: 0.4301 2023/11/27 10:23:34 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433 2023/11/27 10:23:34 - mmengine - INFO - Iter(train) [ 7000/120000] base_lr: 1.9834e-04 lr: 1.9849e-05 eta: 1 day, 22:52:27 time: 1.5086 data_time: 0.0316 memory: 20933 grad_norm: 0.5010 loss: 0.4971 detection_loss_cls: 0.0674 detection_loss_reg: 0.4297 2023/11/27 10:36:04 - mmengine - INFO - Iter(train) [ 7500/120000] base_lr: 1.9810e-04 lr: 1.9827e-05 eta: 1 day, 22:40:50 time: 1.5121 data_time: 0.0316 memory: 20933 grad_norm: 0.4983 loss: 0.4937 detection_loss_cls: 0.0663 detection_loss_reg: 0.4274 2023/11/27 10:48:41 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433 2023/11/27 10:48:41 - mmengine - INFO - Iter(train) [ 8000/120000] base_lr: 1.9784e-04 lr: 1.9803e-05 eta: 1 day, 22:30:49 time: 1.5157 data_time: 0.0316 memory: 20933 grad_norm: 0.4968 loss: 0.4875 detection_loss_cls: 0.0652 detection_loss_reg: 0.4223 2023/11/27 11:01:16 - mmengine - INFO - Iter(train) [ 8500/120000] base_lr: 1.9756e-04 lr: 1.9778e-05 eta: 1 day, 22:20:01 time: 1.5184 data_time: 0.0316 memory: 20933 grad_norm: 0.4953 loss: 0.4840 detection_loss_cls: 0.0640 detection_loss_reg: 0.4200 2023/11/27 11:13:50 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433 2023/11/27 11:13:50 - mmengine - INFO - Iter(train) [ 9000/120000] base_lr: 1.9727e-04 lr: 1.9751e-05 eta: 1 day, 22:08:39 time: 1.5207 data_time: 0.0316 memory: 20933 grad_norm: 0.4932 loss: 0.4823 detection_loss_cls: 0.0634 detection_loss_reg: 0.4189 2023/11/27 11:26:19 - mmengine - INFO - Iter(train) [ 9500/120000] base_lr: 1.9695e-04 lr: 1.9723e-05 eta: 1 day, 21:56:23 time: 1.5038 data_time: 0.0145 memory: 20933 grad_norm: 0.4921 loss: 0.4783 detection_loss_cls: 0.0627 detection_loss_reg: 0.4156 2023/11/27 11:38:54 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433 2023/11/27 11:38:54 - mmengine - INFO - Iter(train) [ 10000/120000] base_lr: 1.9663e-04 lr: 1.9693e-05 eta: 1 day, 21:45:02 time: 1.5049 data_time: 0.0145 memory: 20933 grad_norm: 0.4908 loss: 0.4754 detection_loss_cls: 0.0620 detection_loss_reg: 0.4134 2023/11/27 11:38:54 - mmengine - INFO - Saving checkpoint at 10000 iterations 2023/11/27 11:41:34 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.3005 data_time: 0.0043 memory: 7032 2023/11/27 11:42:20 - mmengine - INFO - Evaluating bbox... 2023/11/27 11:43:13 - mmengine - INFO - bbox_mAP_copypaste: 0.274 0.432 0.297 0.160 0.328 0.341 2023/11/27 11:43:13 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.2740 coco/bbox_mAP_50: 0.4320 coco/bbox_mAP_75: 0.2970 coco/bbox_mAP_s: 0.1600 coco/bbox_mAP_m: 0.3280 coco/bbox_mAP_l: 0.3410 data_time: 0.0041 time: 0.2997 2023/11/27 11:55:45 - mmengine - INFO - Iter(train) [ 10500/120000] base_lr: 1.9628e-04 lr: 1.9662e-05 eta: 1 day, 21:43:49 time: 1.5208 data_time: 0.0299 memory: 20933 grad_norm: 0.4888 loss: 0.4731 detection_loss_cls: 0.0612 detection_loss_reg: 0.4119 2023/11/27 12:08:10 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433 2023/11/27 12:08:10 - mmengine - INFO - Iter(train) [ 11000/120000] base_lr: 1.9592e-04 lr: 1.9629e-05 eta: 1 day, 21:30:06 time: 1.5194 data_time: 0.0299 memory: 20933 grad_norm: 0.4885 loss: 0.4660 detection_loss_cls: 0.0599 detection_loss_reg: 0.4061 2023/11/27 12:20:38 - mmengine - INFO - Iter(train) [ 11500/120000] base_lr: 1.9555e-04 lr: 1.9595e-05 eta: 1 day, 21:17:00 time: 1.5188 data_time: 0.0300 memory: 20933 grad_norm: 0.4870 loss: 0.4606 detection_loss_cls: 0.0587 detection_loss_reg: 0.4019 2023/11/27 12:33:02 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433 2023/11/27 12:33:02 - mmengine - INFO - Iter(train) [ 12000/120000] base_lr: 1.9516e-04 lr: 1.9560e-05 eta: 1 day, 21:03:26 time: 1.5156 data_time: 0.0299 memory: 20933 grad_norm: 0.4870 loss: 0.4628 detection_loss_cls: 0.0585 detection_loss_reg: 0.4042 2023/11/27 12:45:26 - mmengine - INFO - Iter(train) [ 12500/120000] base_lr: 1.9475e-04 lr: 1.9522e-05 eta: 1 day, 20:49:53 time: 1.5127 data_time: 0.0299 memory: 20933 grad_norm: 0.4858 loss: 0.4589 detection_loss_cls: 0.0578 detection_loss_reg: 0.4010 2023/11/27 12:57:49 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433 2023/11/27 12:57:49 - mmengine - INFO - Iter(train) [ 13000/120000] base_lr: 1.9432e-04 lr: 1.9484e-05 eta: 1 day, 20:36:24 time: 1.5103 data_time: 0.0299 memory: 20933 grad_norm: 0.4841 loss: 0.4570 detection_loss_cls: 0.0573 detection_loss_reg: 0.3997 2023/11/27 13:10:13 - mmengine - INFO - Iter(train) [ 13500/120000] base_lr: 1.9388e-04 lr: 1.9444e-05 eta: 1 day, 20:23:01 time: 1.5089 data_time: 0.0299 memory: 20933 grad_norm: 0.4835 loss: 0.4564 detection_loss_cls: 0.0568 detection_loss_reg: 0.3996 2023/11/27 13:22:43 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433 2023/11/27 13:22:43 - mmengine - INFO - Iter(train) [ 14000/120000] base_lr: 1.9343e-04 lr: 1.9402e-05 eta: 1 day, 20:10:28 time: 1.5077 data_time: 0.0300 memory: 20933 grad_norm: 0.4823 loss: 0.4576 detection_loss_cls: 0.0565 detection_loss_reg: 0.4012 2023/11/27 13:35:11 - mmengine - INFO - Iter(train) [ 14500/120000] base_lr: 1.9295e-04 lr: 1.9359e-05 eta: 1 day, 19:57:48 time: 1.4915 data_time: 0.0146 memory: 20933 grad_norm: 0.4814 loss: 0.4543 detection_loss_cls: 0.0558 detection_loss_reg: 0.3985 2023/11/27 13:47:41 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433 2023/11/27 13:47:41 - mmengine - INFO - Iter(train) [ 15000/120000] base_lr: 1.9247e-04 lr: 1.9315e-05 eta: 1 day, 19:45:15 time: 1.4928 data_time: 0.0147 memory: 20933 grad_norm: 0.4793 loss: 0.4520 detection_loss_cls: 0.0553 detection_loss_reg: 0.3968 2023/11/27 13:50:10 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.2997 data_time: 0.0043 memory: 7032 2023/11/27 13:51:00 - mmengine - INFO - Evaluating bbox... 2023/11/27 13:51:54 - mmengine - INFO - bbox_mAP_copypaste: 0.303 0.467 0.326 0.182 0.356 0.394 2023/11/27 13:51:55 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.3030 coco/bbox_mAP_50: 0.4670 coco/bbox_mAP_75: 0.3260 coco/bbox_mAP_s: 0.1820 coco/bbox_mAP_m: 0.3560 coco/bbox_mAP_l: 0.3940 data_time: 0.0042 time: 0.2983 2023/11/27 14:04:23 - mmengine - INFO - Iter(train) [ 15500/120000] base_lr: 1.9196e-04 lr: 1.9269e-05 eta: 1 day, 19:40:06 time: 1.5097 data_time: 0.0316 memory: 20933 grad_norm: 0.4792 loss: 0.4484 detection_loss_cls: 0.0547 detection_loss_reg: 0.3937 2023/11/27 14:16:50 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433 2023/11/27 14:16:50 - mmengine - INFO - Iter(train) [ 16000/120000] base_lr: 1.9144e-04 lr: 1.9222e-05 eta: 1 day, 19:26:58 time: 1.5103 data_time: 0.0316 memory: 20933 grad_norm: 0.4769 loss: 0.4415 detection_loss_cls: 0.0534 detection_loss_reg: 0.3881 2023/11/27 14:29:08 - mmengine - INFO - Iter(train) [ 16500/120000] base_lr: 1.9091e-04 lr: 1.9173e-05 eta: 1 day, 19:13:02 time: 1.5091 data_time: 0.0316 memory: 20933 grad_norm: 0.4759 loss: 0.4407 detection_loss_cls: 0.0530 detection_loss_reg: 0.3877 2023/11/27 14:41:27 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433 2023/11/27 14:41:27 - mmengine - INFO - Iter(train) [ 17000/120000] base_lr: 1.9036e-04 lr: 1.9123e-05 eta: 1 day, 18:59:14 time: 1.5079 data_time: 0.0316 memory: 20933 grad_norm: 0.4755 loss: 0.4421 detection_loss_cls: 0.0530 detection_loss_reg: 0.3891 2023/11/27 14:53:51 - mmengine - INFO - Iter(train) [ 17500/120000] base_lr: 1.8979e-04 lr: 1.9072e-05 eta: 1 day, 18:45:56 time: 1.5078 data_time: 0.0316 memory: 20933 grad_norm: 0.4745 loss: 0.4417 detection_loss_cls: 0.0525 detection_loss_reg: 0.3892 2023/11/27 15:06:11 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433 2023/11/27 15:06:11 - mmengine - INFO - Iter(train) [ 18000/120000] base_lr: 1.8921e-04 lr: 1.9019e-05 eta: 1 day, 18:32:22 time: 1.5054 data_time: 0.0316 memory: 20933 grad_norm: 0.4731 loss: 0.4371 detection_loss_cls: 0.0520 detection_loss_reg: 0.3851 2023/11/27 15:18:33 - mmengine - INFO - Iter(train) [ 18500/120000] base_lr: 1.8861e-04 lr: 1.8965e-05 eta: 1 day, 18:19:07 time: 1.5038 data_time: 0.0315 memory: 20933 grad_norm: 0.4725 loss: 0.4365 detection_loss_cls: 0.0518 detection_loss_reg: 0.3847 2023/11/27 15:31:01 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433 2023/11/27 15:31:01 - mmengine - INFO - Iter(train) [ 19000/120000] base_lr: 1.8800e-04 lr: 1.8909e-05 eta: 1 day, 18:06:21 time: 1.5033 data_time: 0.0315 memory: 20933 grad_norm: 0.4728 loss: 0.4385 detection_loss_cls: 0.0519 detection_loss_reg: 0.3866 2023/11/27 15:43:34 - mmengine - INFO - Iter(train) [ 19500/120000] base_lr: 1.8738e-04 lr: 1.8853e-05 eta: 1 day, 17:54:03 time: 1.4876 data_time: 0.0146 memory: 20933 grad_norm: 0.4712 loss: 0.4396 detection_loss_cls: 0.0519 detection_loss_reg: 0.3877 2023/11/27 15:56:07 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433 2023/11/27 15:56:07 - mmengine - INFO - Iter(train) [ 20000/120000] base_lr: 1.8674e-04 lr: 1.8794e-05 eta: 1 day, 17:41:50 time: 1.4894 data_time: 0.0146 memory: 20933 grad_norm: 0.4708 loss: 0.4377 detection_loss_cls: 0.0517 detection_loss_reg: 0.3860 2023/11/27 15:56:07 - mmengine - INFO - Saving checkpoint at 20000 iterations 2023/11/27 15:58:48 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.2998 data_time: 0.0042 memory: 7032 2023/11/27 15:59:34 - mmengine - INFO - Evaluating bbox... 2023/11/27 16:00:28 - mmengine - INFO - bbox_mAP_copypaste: 0.334 0.502 0.364 0.196 0.388 0.440 2023/11/27 16:00:28 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.3340 coco/bbox_mAP_50: 0.5020 coco/bbox_mAP_75: 0.3640 coco/bbox_mAP_s: 0.1960 coco/bbox_mAP_m: 0.3880 coco/bbox_mAP_l: 0.4400 data_time: 0.0041 time: 0.3000 2023/11/27 21:01:49 - mmengine - INFO - Iter(train) [ 20500/120000] base_lr: 1.8608e-04 lr: 1.8735e-05 eta: 1 day, 15:19:01 time: 1.4826 data_time: 0.0146 memory: 20932 grad_norm: 0.4695 loss: 0.4369 detection_loss_cls: 0.0514 detection_loss_reg: 0.3855 2023/11/27 21:13:42 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_204808 2023/11/27 21:13:42 - mmengine - INFO - Iter(train) [ 21000/120000] base_lr: 1.8541e-04 lr: 1.8674e-05 eta: 1 day, 15:10:05 time: 1.4761 data_time: 0.0145 memory: 20932 grad_norm: 0.4677 loss: 0.4310 detection_loss_cls: 0.0504 detection_loss_reg: 0.3805 2023/11/27 21:25:42 - mmengine - INFO - Iter(train) [ 21500/120000] base_lr: 1.8473e-04 lr: 1.8612e-05 eta: 1 day, 15:06:35 time: 1.4702 data_time: 0.0143 memory: 20932 grad_norm: 0.4659 loss: 0.4289 detection_loss_cls: 0.0502 detection_loss_reg: 0.3788 2023/11/27 21:37:45 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_204808 2023/11/27 21:37:45 - mmengine - INFO - Iter(train) [ 22000/120000] base_lr: 1.8403e-04 lr: 1.8548e-05 eta: 1 day, 15:01:12 time: 1.4659 data_time: 0.0140 memory: 20932 grad_norm: 0.4652 loss: 0.4307 detection_loss_cls: 0.0500 detection_loss_reg: 0.3807 2023/11/27 21:49:58 - mmengine - INFO - Iter(train) [ 22500/120000] base_lr: 1.8332e-04 lr: 1.8483e-05 eta: 1 day, 14:59:59 time: 1.4636 data_time: 0.0138 memory: 20932 grad_norm: 0.4645 loss: 0.4329 detection_loss_cls: 0.0501 detection_loss_reg: 0.3828 2023/11/27 22:02:09 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_204808 2023/11/27 22:02:09 - mmengine - INFO - Iter(train) [ 23000/120000] base_lr: 1.8259e-04 lr: 1.8417e-05 eta: 1 day, 14:53:41 time: 1.4593 data_time: 0.0135 memory: 20932 grad_norm: 0.4627 loss: 0.4283 detection_loss_cls: 0.0494 detection_loss_reg: 0.3789 2023/11/27 22:14:28 - mmengine - INFO - Iter(train) [ 23500/120000] base_lr: 1.8185e-04 lr: 1.8350e-05 eta: 1 day, 14:49:45 time: 1.4560 data_time: 0.0133 memory: 20932 grad_norm: 0.4614 loss: 0.4266 detection_loss_cls: 0.0490 detection_loss_reg: 0.3775 2023/11/27 22:26:47 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_204808 2023/11/27 22:26:47 - mmengine - INFO - Iter(train) [ 24000/120000] base_lr: 1.8109e-04 lr: 1.8281e-05 eta: 1 day, 14:43:42 time: 1.4523 data_time: 0.0131 memory: 20932 grad_norm: 0.4602 loss: 0.4273 detection_loss_cls: 0.0491 detection_loss_reg: 0.3782 2023/11/27 22:39:07 - mmengine - INFO - Iter(train) [ 24500/120000] base_lr: 1.8033e-04 lr: 1.8211e-05 eta: 1 day, 14:36:13 time: 1.4593 data_time: 0.0128 memory: 20932 grad_norm: 0.4585 loss: 0.4234 detection_loss_cls: 0.0487 detection_loss_reg: 0.3747 2023/11/27 22:51:26 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_204808 2023/11/27 22:51:26 - mmengine - INFO - Iter(train) [ 25000/120000] base_lr: 1.7954e-04 lr: 1.8140e-05 eta: 1 day, 14:27:45 time: 1.4658 data_time: 0.0127 memory: 20932 grad_norm: 0.4582 loss: 0.4245 detection_loss_cls: 0.0487 detection_loss_reg: 0.3758 2023/11/27 22:53:58 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.3005 data_time: 0.0043 memory: 7026 2023/11/27 22:54:44 - mmengine - INFO - Evaluating bbox... 2023/11/27 22:55:40 - mmengine - INFO - bbox_mAP_copypaste: 0.362 0.534 0.397 0.215 0.413 0.476 2023/11/27 22:55:41 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.3620 coco/bbox_mAP_50: 0.5340 coco/bbox_mAP_75: 0.3970 coco/bbox_mAP_s: 0.2150 coco/bbox_mAP_m: 0.4130 coco/bbox_mAP_l: 0.4760 data_time: 0.0044 time: 0.3029 2023/11/27 23:08:07 - mmengine - INFO - Iter(train) [ 25500/120000] base_lr: 1.7875e-04 lr: 1.8068e-05 eta: 1 day, 14:39:31 time: 1.4890 data_time: 0.0291 memory: 20933 grad_norm: 0.4574 loss: 0.4237 detection_loss_cls: 0.0482 detection_loss_reg: 0.3754 2023/11/27 23:20:41 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_204808 2023/11/27 23:20:41 - mmengine - INFO - Iter(train) [ 26000/120000] base_lr: 1.7794e-04 lr: 1.7994e-05 eta: 1 day, 14:31:49 time: 1.4968 data_time: 0.0291 memory: 20933 grad_norm: 0.4566 loss: 0.4235 detection_loss_cls: 0.0479 detection_loss_reg: 0.3756 2023/11/27 23:33:08 - mmengine - INFO - Iter(train) [ 26500/120000] base_lr: 1.7712e-04 lr: 1.7920e-05 eta: 1 day, 14:21:39 time: 1.5001 data_time: 0.0292 memory: 20933 grad_norm: 0.4550 loss: 0.4186 detection_loss_cls: 0.0471 detection_loss_reg: 0.3716 2023/11/27 23:45:41 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_204808 2023/11/27 23:45:41 - mmengine - INFO - Iter(train) [ 27000/120000] base_lr: 1.7628e-04 lr: 1.7844e-05 eta: 1 day, 14:12:28 time: 1.5056 data_time: 0.0292 memory: 20933 grad_norm: 0.4537 loss: 0.4202 detection_loss_cls: 0.0471 detection_loss_reg: 0.3731 2023/11/27 23:58:20 - mmengine - INFO - Iter(train) [ 27500/120000] base_lr: 1.7543e-04 lr: 1.7767e-05 eta: 1 day, 14:04:13 time: 1.5106 data_time: 0.0293 memory: 20933 grad_norm: 0.4528 loss: 0.4220 detection_loss_cls: 0.0474 detection_loss_reg: 0.3746 2023/11/28 00:10:52 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_204808 2023/11/28 00:10:52 - mmengine - INFO - Iter(train) [ 28000/120000] base_lr: 1.7457e-04 lr: 1.7688e-05 eta: 1 day, 13:54:03 time: 1.5138 data_time: 0.0293 memory: 20933 grad_norm: 0.4518 loss: 0.4189 detection_loss_cls: 0.0468 detection_loss_reg: 0.3721 2023/11/28 00:23:20 - mmengine - INFO - Iter(train) [ 28500/120000] base_lr: 1.7370e-04 lr: 1.7609e-05 eta: 1 day, 13:42:48 time: 1.5160 data_time: 0.0293 memory: 20933 grad_norm: 0.4517 loss: 0.4210 detection_loss_cls: 0.0469 detection_loss_reg: 0.3741 2023/11/28 00:35:49 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_204808 2023/11/28 00:35:49 - mmengine - INFO - Iter(train) [ 29000/120000] base_lr: 1.7281e-04 lr: 1.7529e-05 eta: 1 day, 13:31:39 time: 1.5184 data_time: 0.0294 memory: 20933 grad_norm: 0.4508 loss: 0.4204 detection_loss_cls: 0.0468 detection_loss_reg: 0.3736 2023/11/28 00:48:05 - mmengine - INFO - Iter(train) [ 29500/120000] base_lr: 1.7192e-04 lr: 1.7447e-05 eta: 1 day, 13:18:13 time: 1.4993 data_time: 0.0130 memory: 20933 grad_norm: 0.4508 loss: 0.4198 detection_loss_cls: 0.0469 detection_loss_reg: 0.3729 2023/11/28 01:00:19 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_204808 2023/11/28 01:00:19 - mmengine - INFO - Iter(train) [ 30000/120000] base_lr: 1.7101e-04 lr: 1.7364e-05 eta: 1 day, 13:04:42 time: 1.4944 data_time: 0.0130 memory: 20933 grad_norm: 0.4497 loss: 0.4181 detection_loss_cls: 0.0467 detection_loss_reg: 0.3714 2023/11/28 01:00:19 - mmengine - INFO - Saving checkpoint at 30000 iterations 2023/11/28 01:03:03 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:38 time: 0.3011 data_time: 0.0043 memory: 7026 2023/11/28 01:03:49 - mmengine - INFO - Evaluating bbox... 2023/11/28 01:04:45 - mmengine - INFO - bbox_mAP_copypaste: 0.363 0.533 0.395 0.215 0.415 0.474 2023/11/28 01:04:46 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.3630 coco/bbox_mAP_50: 0.5330 coco/bbox_mAP_75: 0.3950 coco/bbox_mAP_s: 0.2150 coco/bbox_mAP_m: 0.4150 coco/bbox_mAP_l: 0.4740 data_time: 0.0042 time: 0.3039 2023/11/28 03:07:54 - mmengine - INFO - Iter(train) [ 30500/120000] base_lr: 1.7008e-04 lr: 1.7280e-05 eta: 1 day, 11:18:13 time: 1.4852 data_time: 0.0131 memory: 20932 grad_norm: 0.4487 loss: 0.4216 detection_loss_cls: 0.0471 detection_loss_reg: 0.3746 2023/11/28 03:19:55 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 03:19:55 - mmengine - INFO - Iter(train) [ 31000/120000] base_lr: 1.6915e-04 lr: 1.7195e-05 eta: 1 day, 11:23:04 time: 1.4774 data_time: 0.0132 memory: 20932 grad_norm: 0.4475 loss: 0.4190 detection_loss_cls: 0.0466 detection_loss_reg: 0.3724 2023/11/28 03:19:55 - mmengine - INFO - Saving checkpoint at 31000 iterations 2023/11/28 03:32:23 - mmengine - INFO - Iter(train) [ 31500/120000] base_lr: 1.6820e-04 lr: 1.7109e-05 eta: 1 day, 11:42:19 time: 1.4744 data_time: 0.0159 memory: 20932 grad_norm: 0.4473 loss: 0.4168 detection_loss_cls: 0.0461 detection_loss_reg: 0.3707 2023/11/28 03:44:40 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 03:44:40 - mmengine - INFO - Iter(train) [ 32000/120000] base_lr: 1.6725e-04 lr: 1.7022e-05 eta: 1 day, 11:37:57 time: 1.4705 data_time: 0.0160 memory: 20932 grad_norm: 0.4471 loss: 0.4184 detection_loss_cls: 0.0463 detection_loss_reg: 0.3722 2023/11/28 03:44:40 - mmengine - INFO - Saving checkpoint at 32000 iterations 2023/11/28 03:57:12 - mmengine - INFO - Iter(train) [ 32500/120000] base_lr: 1.6628e-04 lr: 1.6934e-05 eta: 1 day, 11:39:39 time: 1.4718 data_time: 0.0188 memory: 20932 grad_norm: 0.4467 loss: 0.4167 detection_loss_cls: 0.0458 detection_loss_reg: 0.3710 2023/11/28 04:09:34 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 04:09:34 - mmengine - INFO - Iter(train) [ 33000/120000] base_lr: 1.6530e-04 lr: 1.6845e-05 eta: 1 day, 11:31:36 time: 1.4701 data_time: 0.0189 memory: 20932 grad_norm: 0.4457 loss: 0.4159 detection_loss_cls: 0.0456 detection_loss_reg: 0.3702 2023/11/28 04:09:34 - mmengine - INFO - Saving checkpoint at 33000 iterations 2023/11/28 04:22:17 - mmengine - INFO - Iter(train) [ 33500/120000] base_lr: 1.6431e-04 lr: 1.6755e-05 eta: 1 day, 11:30:30 time: 1.4767 data_time: 0.0217 memory: 20932 grad_norm: 0.4444 loss: 0.4124 detection_loss_cls: 0.0450 detection_loss_reg: 0.3674 2023/11/28 04:34:48 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 04:34:48 - mmengine - INFO - Iter(train) [ 34000/120000] base_lr: 1.6330e-04 lr: 1.6664e-05 eta: 1 day, 11:22:44 time: 1.4810 data_time: 0.0218 memory: 20932 grad_norm: 0.4438 loss: 0.4111 detection_loss_cls: 0.0449 detection_loss_reg: 0.3661 2023/11/28 04:34:48 - mmengine - INFO - Saving checkpoint at 34000 iterations 2023/11/28 04:47:23 - mmengine - INFO - Iter(train) [ 34500/120000] base_lr: 1.6229e-04 lr: 1.6572e-05 eta: 1 day, 11:14:57 time: 1.4922 data_time: 0.0245 memory: 20932 grad_norm: 0.4430 loss: 0.4090 detection_loss_cls: 0.0446 detection_loss_reg: 0.3643 2023/11/28 04:59:47 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 04:59:47 - mmengine - INFO - Iter(train) [ 35000/120000] base_lr: 1.6127e-04 lr: 1.6479e-05 eta: 1 day, 11:03:09 time: 1.4979 data_time: 0.0244 memory: 20932 grad_norm: 0.4432 loss: 0.4107 detection_loss_cls: 0.0448 detection_loss_reg: 0.3659 2023/11/28 04:59:47 - mmengine - INFO - Saving checkpoint at 35000 iterations 2023/11/28 05:02:29 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.3006 data_time: 0.0043 memory: 7026 2023/11/28 05:03:15 - mmengine - INFO - Evaluating bbox... 2023/11/28 05:04:10 - mmengine - INFO - bbox_mAP_copypaste: 0.385 0.557 0.420 0.232 0.436 0.499 2023/11/28 05:04:10 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.3850 coco/bbox_mAP_50: 0.5570 coco/bbox_mAP_75: 0.4200 coco/bbox_mAP_s: 0.2320 coco/bbox_mAP_m: 0.4360 coco/bbox_mAP_l: 0.4990 data_time: 0.0043 time: 0.3012 2023/11/28 05:16:45 - mmengine - INFO - Iter(train) [ 35500/120000] base_lr: 1.6024e-04 lr: 1.6385e-05 eta: 1 day, 11:10:22 time: 1.5158 data_time: 0.0376 memory: 20933 grad_norm: 0.4416 loss: 0.4083 detection_loss_cls: 0.0444 detection_loss_reg: 0.3639 2023/11/28 05:29:20 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 05:29:20 - mmengine - INFO - Iter(train) [ 36000/120000] base_lr: 1.5919e-04 lr: 1.6290e-05 eta: 1 day, 10:59:06 time: 1.5202 data_time: 0.0376 memory: 20933 grad_norm: 0.4413 loss: 0.4071 detection_loss_cls: 0.0440 detection_loss_reg: 0.3631 2023/11/28 05:29:20 - mmengine - INFO - Saving checkpoint at 36000 iterations 2023/11/28 05:41:53 - mmengine - INFO - Iter(train) [ 36500/120000] base_lr: 1.5814e-04 lr: 1.6194e-05 eta: 1 day, 10:47:20 time: 1.5203 data_time: 0.0377 memory: 20933 grad_norm: 0.4401 loss: 0.4087 detection_loss_cls: 0.0442 detection_loss_reg: 0.3644 2023/11/28 05:54:15 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 05:54:15 - mmengine - INFO - Iter(train) [ 37000/120000] base_lr: 1.5708e-04 lr: 1.6098e-05 eta: 1 day, 10:33:15 time: 1.5202 data_time: 0.0377 memory: 20933 grad_norm: 0.4393 loss: 0.4087 detection_loss_cls: 0.0439 detection_loss_reg: 0.3649 2023/11/28 05:54:15 - mmengine - INFO - Saving checkpoint at 37000 iterations 2023/11/28 06:07:01 - mmengine - INFO - Iter(train) [ 37500/120000] base_lr: 1.5600e-04 lr: 1.6000e-05 eta: 1 day, 10:23:49 time: 1.5212 data_time: 0.0377 memory: 20933 grad_norm: 0.4383 loss: 0.4099 detection_loss_cls: 0.0439 detection_loss_reg: 0.3660 2023/11/28 06:19:37 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 06:19:37 - mmengine - INFO - Iter(train) [ 38000/120000] base_lr: 1.5492e-04 lr: 1.5902e-05 eta: 1 day, 10:12:14 time: 1.5223 data_time: 0.0377 memory: 20933 grad_norm: 0.4378 loss: 0.4076 detection_loss_cls: 0.0436 detection_loss_reg: 0.3640 2023/11/28 06:19:37 - mmengine - INFO - Saving checkpoint at 38000 iterations 2023/11/28 06:32:24 - mmengine - INFO - Iter(train) [ 38500/120000] base_lr: 1.5383e-04 lr: 1.5803e-05 eta: 1 day, 10:02:17 time: 1.5253 data_time: 0.0378 memory: 20933 grad_norm: 0.4375 loss: 0.4059 detection_loss_cls: 0.0433 detection_loss_reg: 0.3626 2023/11/28 06:45:05 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 06:45:05 - mmengine - INFO - Iter(train) [ 39000/120000] base_lr: 1.5273e-04 lr: 1.5703e-05 eta: 1 day, 9:51:11 time: 1.5296 data_time: 0.0379 memory: 20933 grad_norm: 0.4371 loss: 0.4044 detection_loss_cls: 0.0431 detection_loss_reg: 0.3613 2023/11/28 06:45:05 - mmengine - INFO - Saving checkpoint at 39000 iterations 2023/11/28 06:47:30 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 06:57:48 - mmengine - INFO - Iter(train) [ 39500/120000] base_lr: 1.5162e-04 lr: 1.5602e-05 eta: 1 day, 9:40:09 time: 1.5156 data_time: 0.0247 memory: 20933 grad_norm: 0.4364 loss: 0.4063 detection_loss_cls: 0.0433 detection_loss_reg: 0.3629 2023/11/28 07:10:19 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 07:10:19 - mmengine - INFO - Iter(train) [ 40000/120000] base_lr: 1.5050e-04 lr: 1.5500e-05 eta: 1 day, 9:27:22 time: 1.5148 data_time: 0.0247 memory: 20933 grad_norm: 0.4346 loss: 0.4058 detection_loss_cls: 0.0432 detection_loss_reg: 0.3626 2023/11/28 07:10:19 - mmengine - INFO - Saving checkpoint at 40000 iterations 2023/11/28 07:13:06 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:38 time: 0.3022 data_time: 0.0054 memory: 7026 2023/11/28 07:13:52 - mmengine - INFO - Evaluating bbox... 2023/11/28 07:14:48 - mmengine - INFO - bbox_mAP_copypaste: 0.393 0.566 0.428 0.236 0.445 0.511 2023/11/28 07:14:49 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.3930 coco/bbox_mAP_50: 0.5660 coco/bbox_mAP_75: 0.4280 coco/bbox_mAP_s: 0.2360 coco/bbox_mAP_m: 0.4450 coco/bbox_mAP_l: 0.5110 data_time: 0.0104 time: 0.3099 2023/11/28 07:27:13 - mmengine - INFO - Iter(train) [ 40500/120000] base_lr: 1.4938e-04 lr: 1.5398e-05 eta: 1 day, 9:21:52 time: 1.5287 data_time: 0.0383 memory: 20933 grad_norm: 0.4342 loss: 0.4029 detection_loss_cls: 0.0426 detection_loss_reg: 0.3603 2023/11/28 07:39:36 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 07:39:36 - mmengine - INFO - Iter(train) [ 41000/120000] base_lr: 1.4824e-04 lr: 1.5295e-05 eta: 1 day, 9:07:46 time: 1.5289 data_time: 0.0383 memory: 20933 grad_norm: 0.4338 loss: 0.4021 detection_loss_cls: 0.0423 detection_loss_reg: 0.3598 2023/11/28 07:39:36 - mmengine - INFO - Saving checkpoint at 41000 iterations 2023/11/28 07:52:06 - mmengine - INFO - Iter(train) [ 41500/120000] base_lr: 1.4710e-04 lr: 1.5191e-05 eta: 1 day, 8:54:42 time: 1.5250 data_time: 0.0384 memory: 20933 grad_norm: 0.4338 loss: 0.4015 detection_loss_cls: 0.0420 detection_loss_reg: 0.3595 2023/11/28 08:04:30 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 08:04:30 - mmengine - INFO - Iter(train) [ 42000/120000] base_lr: 1.4595e-04 lr: 1.5086e-05 eta: 1 day, 8:40:59 time: 1.5221 data_time: 0.0385 memory: 20933 grad_norm: 0.4340 loss: 0.4045 detection_loss_cls: 0.0419 detection_loss_reg: 0.3626 2023/11/28 08:04:30 - mmengine - INFO - Saving checkpoint at 42000 iterations 2023/11/28 08:17:09 - mmengine - INFO - Iter(train) [ 42500/120000] base_lr: 1.4479e-04 lr: 1.4981e-05 eta: 1 day, 8:28:50 time: 1.5200 data_time: 0.0385 memory: 20933 grad_norm: 0.4338 loss: 0.4056 detection_loss_cls: 0.0419 detection_loss_reg: 0.3636 2023/11/28 08:29:34 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 08:29:34 - mmengine - INFO - Iter(train) [ 43000/120000] base_lr: 1.4362e-04 lr: 1.4875e-05 eta: 1 day, 8:15:24 time: 1.5160 data_time: 0.0385 memory: 20933 grad_norm: 0.4331 loss: 0.4077 detection_loss_cls: 0.0419 detection_loss_reg: 0.3658 2023/11/28 08:29:34 - mmengine - INFO - Saving checkpoint at 43000 iterations 2023/11/28 08:42:12 - mmengine - INFO - Iter(train) [ 43500/120000] base_lr: 1.4245e-04 lr: 1.4768e-05 eta: 1 day, 8:03:10 time: 1.5147 data_time: 0.0386 memory: 20933 grad_norm: 0.4325 loss: 0.4073 detection_loss_cls: 0.0416 detection_loss_reg: 0.3658 2023/11/28 08:54:32 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 08:54:32 - mmengine - INFO - Iter(train) [ 44000/120000] base_lr: 1.4127e-04 lr: 1.4661e-05 eta: 1 day, 7:49:21 time: 1.5120 data_time: 0.0387 memory: 20933 grad_norm: 0.4326 loss: 0.4054 detection_loss_cls: 0.0414 detection_loss_reg: 0.3641 2023/11/28 08:54:32 - mmengine - INFO - Saving checkpoint at 44000 iterations 2023/11/28 09:06:57 - mmengine - INFO - Iter(train) [ 44500/120000] base_lr: 1.4008e-04 lr: 1.4553e-05 eta: 1 day, 7:36:02 time: 1.4961 data_time: 0.0250 memory: 20933 grad_norm: 0.4328 loss: 0.4067 detection_loss_cls: 0.0417 detection_loss_reg: 0.3650 2023/11/28 09:19:11 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 09:19:11 - mmengine - INFO - Iter(train) [ 45000/120000] base_lr: 1.3889e-04 lr: 1.4444e-05 eta: 1 day, 7:21:51 time: 1.4939 data_time: 0.0250 memory: 20933 grad_norm: 0.4326 loss: 0.4063 detection_loss_cls: 0.0416 detection_loss_reg: 0.3648 2023/11/28 09:19:11 - mmengine - INFO - Saving checkpoint at 45000 iterations 2023/11/28 09:21:54 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.3022 data_time: 0.0052 memory: 7026 2023/11/28 09:22:40 - mmengine - INFO - Evaluating bbox... 2023/11/28 09:23:36 - mmengine - INFO - bbox_mAP_copypaste: 0.403 0.582 0.438 0.249 0.451 0.530 2023/11/28 09:23:37 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.4030 coco/bbox_mAP_50: 0.5820 coco/bbox_mAP_75: 0.4380 coco/bbox_mAP_s: 0.2490 coco/bbox_mAP_m: 0.4510 coco/bbox_mAP_l: 0.5300 data_time: 0.0040 time: 0.3029 2023/11/28 09:36:03 - mmengine - INFO - Iter(train) [ 45500/120000] base_lr: 1.3769e-04 lr: 1.4335e-05 eta: 1 day, 7:13:58 time: 1.5090 data_time: 0.0385 memory: 20933 grad_norm: 0.4319 loss: 0.4062 detection_loss_cls: 0.0414 detection_loss_reg: 0.3648 2023/11/28 09:48:30 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 09:48:30 - mmengine - INFO - Iter(train) [ 46000/120000] base_lr: 1.3648e-04 lr: 1.4226e-05 eta: 1 day, 7:00:48 time: 1.5097 data_time: 0.0384 memory: 20933 grad_norm: 0.4316 loss: 0.4030 detection_loss_cls: 0.0412 detection_loss_reg: 0.3618 2023/11/28 09:48:30 - mmengine - INFO - Saving checkpoint at 46000 iterations 2023/11/28 10:01:08 - mmengine - INFO - Iter(train) [ 46500/120000] base_lr: 1.3527e-04 lr: 1.4115e-05 eta: 1 day, 6:48:30 time: 1.5096 data_time: 0.0384 memory: 20933 grad_norm: 0.4307 loss: 0.4007 detection_loss_cls: 0.0408 detection_loss_reg: 0.3600 2023/11/28 10:13:37 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 10:13:37 - mmengine - INFO - Iter(train) [ 47000/120000] base_lr: 1.3405e-04 lr: 1.4004e-05 eta: 1 day, 6:35:30 time: 1.5104 data_time: 0.0385 memory: 20933 grad_norm: 0.4310 loss: 0.3989 detection_loss_cls: 0.0406 detection_loss_reg: 0.3583 2023/11/28 10:13:37 - mmengine - INFO - Saving checkpoint at 47000 iterations 2023/11/28 10:26:20 - mmengine - INFO - Iter(train) [ 47500/120000] base_lr: 1.3282e-04 lr: 1.3893e-05 eta: 1 day, 6:23:33 time: 1.5117 data_time: 0.0384 memory: 20933 grad_norm: 0.4317 loss: 0.4002 detection_loss_cls: 0.0407 detection_loss_reg: 0.3595 2023/11/28 10:38:52 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 10:38:52 - mmengine - INFO - Iter(train) [ 48000/120000] base_lr: 1.3160e-04 lr: 1.3781e-05 eta: 1 day, 6:10:50 time: 1.5148 data_time: 0.0384 memory: 20933 grad_norm: 0.4320 loss: 0.4007 detection_loss_cls: 0.0407 detection_loss_reg: 0.3599 2023/11/28 10:38:52 - mmengine - INFO - Saving checkpoint at 48000 iterations 2023/11/28 10:51:40 - mmengine - INFO - Iter(train) [ 48500/120000] base_lr: 1.3036e-04 lr: 1.3669e-05 eta: 1 day, 5:59:05 time: 1.5204 data_time: 0.0384 memory: 20933 grad_norm: 0.4316 loss: 0.3992 detection_loss_cls: 0.0403 detection_loss_reg: 0.3589 2023/11/28 11:04:16 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 11:04:16 - mmengine - INFO - Iter(train) [ 49000/120000] base_lr: 1.2912e-04 lr: 1.3556e-05 eta: 1 day, 5:46:35 time: 1.5259 data_time: 0.0384 memory: 20933 grad_norm: 0.4320 loss: 0.3980 detection_loss_cls: 0.0403 detection_loss_reg: 0.3577 2023/11/28 11:04:16 - mmengine - INFO - Saving checkpoint at 49000 iterations 2023/11/28 11:17:01 - mmengine - INFO - Iter(train) [ 49500/120000] base_lr: 1.2788e-04 lr: 1.3443e-05 eta: 1 day, 5:34:35 time: 1.5144 data_time: 0.0249 memory: 20933 grad_norm: 0.4319 loss: 0.3978 detection_loss_cls: 0.0403 detection_loss_reg: 0.3575 2023/11/28 11:29:40 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 11:29:40 - mmengine - INFO - Iter(train) [ 50000/120000] base_lr: 1.2663e-04 lr: 1.3330e-05 eta: 1 day, 5:22:16 time: 1.5175 data_time: 0.0249 memory: 20933 grad_norm: 0.4309 loss: 0.3959 detection_loss_cls: 0.0400 detection_loss_reg: 0.3559 2023/11/28 11:29:40 - mmengine - INFO - Saving checkpoint at 50000 iterations 2023/11/28 11:32:23 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.3028 data_time: 0.0052 memory: 7026 2023/11/28 11:33:09 - mmengine - INFO - Evaluating bbox... 2023/11/28 11:34:06 - mmengine - INFO - bbox_mAP_copypaste: 0.407 0.584 0.443 0.249 0.459 0.532 2023/11/28 11:34:06 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.4070 coco/bbox_mAP_50: 0.5840 coco/bbox_mAP_75: 0.4430 coco/bbox_mAP_s: 0.2490 coco/bbox_mAP_m: 0.4590 coco/bbox_mAP_l: 0.5320 data_time: 0.0041 time: 0.3032 2023/11/28 11:46:40 - mmengine - INFO - Iter(train) [ 50500/120000] base_lr: 1.2537e-04 lr: 1.3216e-05 eta: 1 day, 5:13:18 time: 1.5329 data_time: 0.0385 memory: 20933 grad_norm: 0.4310 loss: 0.3975 detection_loss_cls: 0.0400 detection_loss_reg: 0.3575 2023/11/28 11:59:14 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 11:59:14 - mmengine - INFO - Iter(train) [ 51000/120000] base_lr: 1.2411e-04 lr: 1.3101e-05 eta: 1 day, 5:00:30 time: 1.5341 data_time: 0.0384 memory: 20933 grad_norm: 0.4306 loss: 0.3977 detection_loss_cls: 0.0398 detection_loss_reg: 0.3579 2023/11/28 11:59:14 - mmengine - INFO - Saving checkpoint at 51000 iterations 2023/11/28 12:11:57 - mmengine - INFO - Iter(train) [ 51500/120000] base_lr: 1.2285e-04 lr: 1.2987e-05 eta: 1 day, 4:48:13 time: 1.5340 data_time: 0.0384 memory: 20933 grad_norm: 0.4300 loss: 0.3946 detection_loss_cls: 0.0394 detection_loss_reg: 0.3553 2023/11/28 12:24:28 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 12:24:28 - mmengine - INFO - Iter(train) [ 52000/120000] base_lr: 1.2159e-04 lr: 1.2871e-05 eta: 1 day, 4:35:20 time: 1.5337 data_time: 0.0384 memory: 20933 grad_norm: 0.4297 loss: 0.3948 detection_loss_cls: 0.0391 detection_loss_reg: 0.3558 2023/11/28 12:24:28 - mmengine - INFO - Saving checkpoint at 52000 iterations 2023/11/28 12:37:12 - mmengine - INFO - Iter(train) [ 52500/120000] base_lr: 1.2032e-04 lr: 1.2756e-05 eta: 1 day, 4:23:05 time: 1.5329 data_time: 0.0384 memory: 20933 grad_norm: 0.4292 loss: 0.3943 detection_loss_cls: 0.0389 detection_loss_reg: 0.3554 2023/11/28 12:49:50 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 12:49:50 - mmengine - INFO - Iter(train) [ 53000/120000] base_lr: 1.1904e-04 lr: 1.2640e-05 eta: 1 day, 4:10:30 time: 1.5334 data_time: 0.0384 memory: 20933 grad_norm: 0.4282 loss: 0.3959 detection_loss_cls: 0.0390 detection_loss_reg: 0.3569 2023/11/28 12:49:50 - mmengine - INFO - Saving checkpoint at 53000 iterations 2023/11/28 13:02:32 - mmengine - INFO - Iter(train) [ 53500/120000] base_lr: 1.1777e-04 lr: 1.2524e-05 eta: 1 day, 3:58:06 time: 1.5326 data_time: 0.0384 memory: 20933 grad_norm: 0.4284 loss: 0.3960 detection_loss_cls: 0.0391 detection_loss_reg: 0.3569 2023/11/28 13:15:02 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 13:15:02 - mmengine - INFO - Iter(train) [ 54000/120000] base_lr: 1.1649e-04 lr: 1.2408e-05 eta: 1 day, 3:45:10 time: 1.5302 data_time: 0.0384 memory: 20933 grad_norm: 0.4290 loss: 0.3979 detection_loss_cls: 0.0393 detection_loss_reg: 0.3586 2023/11/28 13:15:02 - mmengine - INFO - Saving checkpoint at 54000 iterations 2023/11/28 13:27:39 - mmengine - INFO - Iter(train) [ 54500/120000] base_lr: 1.1521e-04 lr: 1.2292e-05 eta: 1 day, 3:32:33 time: 1.5146 data_time: 0.0248 memory: 20933 grad_norm: 0.4288 loss: 0.3979 detection_loss_cls: 0.0393 detection_loss_reg: 0.3585 2023/11/28 13:40:06 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 13:40:06 - mmengine - INFO - Iter(train) [ 55000/120000] base_lr: 1.1392e-04 lr: 1.2175e-05 eta: 1 day, 3:19:30 time: 1.5130 data_time: 0.0250 memory: 20933 grad_norm: 0.4286 loss: 0.3960 detection_loss_cls: 0.0391 detection_loss_reg: 0.3569 2023/11/28 13:40:06 - mmengine - INFO - Saving checkpoint at 55000 iterations 2023/11/28 13:42:48 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.3034 data_time: 0.0052 memory: 7026 2023/11/28 13:43:35 - mmengine - INFO - Evaluating bbox... 2023/11/28 13:44:30 - mmengine - INFO - bbox_mAP_copypaste: 0.416 0.591 0.452 0.251 0.466 0.548 2023/11/28 13:44:31 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.4160 coco/bbox_mAP_50: 0.5910 coco/bbox_mAP_75: 0.4520 coco/bbox_mAP_s: 0.2510 coco/bbox_mAP_m: 0.4660 coco/bbox_mAP_l: 0.5480 data_time: 0.0042 time: 0.3028 2023/11/28 13:57:01 - mmengine - INFO - Iter(train) [ 55500/120000] base_lr: 1.1264e-04 lr: 1.2058e-05 eta: 1 day, 3:09:19 time: 1.5258 data_time: 0.0383 memory: 20933 grad_norm: 0.4281 loss: 0.3935 detection_loss_cls: 0.0386 detection_loss_reg: 0.3549 2023/11/28 14:09:26 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 14:09:26 - mmengine - INFO - Iter(train) [ 56000/120000] base_lr: 1.1135e-04 lr: 1.1941e-05 eta: 1 day, 2:56:12 time: 1.5243 data_time: 0.0384 memory: 20933 grad_norm: 0.4279 loss: 0.3934 detection_loss_cls: 0.0387 detection_loss_reg: 0.3547 2023/11/28 14:09:26 - mmengine - INFO - Saving checkpoint at 56000 iterations 2023/11/28 14:22:12 - mmengine - INFO - Iter(train) [ 56500/120000] base_lr: 1.1006e-04 lr: 1.1824e-05 eta: 1 day, 2:43:54 time: 1.5248 data_time: 0.0384 memory: 20933 grad_norm: 0.4282 loss: 0.3922 detection_loss_cls: 0.0386 detection_loss_reg: 0.3536 2023/11/28 14:34:48 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431 2023/11/28 14:34:48 - mmengine - INFO - Iter(train) [ 57000/120000] base_lr: 1.0877e-04 lr: 1.1706e-05 eta: 1 day, 2:31:10 time: 1.5241 data_time: 0.0384 memory: 20933 grad_norm: 0.4289 loss: 0.3907 detection_loss_cls: 0.0381 detection_loss_reg: 0.3526 2023/11/28 14:34:48 - mmengine - INFO - Saving checkpoint at 57000 iterations 2023/11/28 15:44:11 - mmengine - INFO - Iter(train) [ 57500/120000] base_lr: 1.0748e-04 lr: 1.1589e-05 eta: 1 day, 1:33:51 time: 1.5178 data_time: 0.0356 memory: 20932 grad_norm: 0.4290 loss: 0.3900 detection_loss_cls: 0.0376 detection_loss_reg: 0.3524 2023/11/28 15:56:25 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/28 15:56:25 - mmengine - INFO - Iter(train) [ 58000/120000] base_lr: 1.0618e-04 lr: 1.1471e-05 eta: 1 day, 1:19:27 time: 1.5139 data_time: 0.0356 memory: 20932 grad_norm: 0.4288 loss: 0.3900 detection_loss_cls: 0.0374 detection_loss_reg: 0.3526 2023/11/28 15:56:25 - mmengine - INFO - Saving checkpoint at 58000 iterations 2023/11/28 16:09:03 - mmengine - INFO - Iter(train) [ 58500/120000] base_lr: 1.0489e-04 lr: 1.1354e-05 eta: 1 day, 1:22:57 time: 1.5142 data_time: 0.0356 memory: 20932 grad_norm: 0.4289 loss: 0.3882 detection_loss_cls: 0.0372 detection_loss_reg: 0.3511 2023/11/28 16:21:37 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/28 16:21:37 - mmengine - INFO - Iter(train) [ 59000/120000] base_lr: 1.0359e-04 lr: 1.1236e-05 eta: 1 day, 1:15:53 time: 1.5158 data_time: 0.0354 memory: 20932 grad_norm: 0.4289 loss: 0.3889 detection_loss_cls: 0.0372 detection_loss_reg: 0.3517 2023/11/28 16:21:37 - mmengine - INFO - Saving checkpoint at 59000 iterations 2023/11/28 16:34:29 - mmengine - INFO - Iter(train) [ 59500/120000] base_lr: 1.0230e-04 lr: 1.1118e-05 eta: 1 day, 1:14:00 time: 1.5052 data_time: 0.0221 memory: 20932 grad_norm: 0.4292 loss: 0.3910 detection_loss_cls: 0.0374 detection_loss_reg: 0.3536 2023/11/28 16:47:06 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/28 16:47:06 - mmengine - INFO - Iter(train) [ 60000/120000] base_lr: 1.0100e-04 lr: 1.1000e-05 eta: 1 day, 1:03:40 time: 1.5080 data_time: 0.0220 memory: 20932 grad_norm: 0.4296 loss: 0.3883 detection_loss_cls: 0.0371 detection_loss_reg: 0.3512 2023/11/28 16:47:06 - mmengine - INFO - Saving checkpoint at 60000 iterations 2023/11/28 16:49:48 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.3034 data_time: 0.0051 memory: 7026 2023/11/28 16:50:34 - mmengine - INFO - Evaluating bbox... 2023/11/28 16:51:30 - mmengine - INFO - bbox_mAP_copypaste: 0.415 0.589 0.454 0.257 0.462 0.557 2023/11/28 16:51:31 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.4150 coco/bbox_mAP_50: 0.5890 coco/bbox_mAP_75: 0.4540 coco/bbox_mAP_s: 0.2570 coco/bbox_mAP_m: 0.4620 coco/bbox_mAP_l: 0.5570 data_time: 0.0043 time: 0.3012 2023/11/28 17:04:13 - mmengine - INFO - Iter(train) [ 60500/120000] base_lr: 9.9707e-05 lr: 1.0882e-05 eta: 1 day, 1:12:41 time: 1.5235 data_time: 0.0356 memory: 20933 grad_norm: 0.4297 loss: 0.3863 detection_loss_cls: 0.0368 detection_loss_reg: 0.3495 2023/11/28 17:16:59 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/28 17:16:59 - mmengine - INFO - Iter(train) [ 61000/120000] base_lr: 9.8411e-05 lr: 1.0765e-05 eta: 1 day, 1:00:43 time: 1.5262 data_time: 0.0356 memory: 20933 grad_norm: 0.4288 loss: 0.3839 detection_loss_cls: 0.0366 detection_loss_reg: 0.3473 2023/11/28 17:16:59 - mmengine - INFO - Saving checkpoint at 61000 iterations 2023/11/28 17:30:00 - mmengine - INFO - Iter(train) [ 61500/120000] base_lr: 9.7116e-05 lr: 1.0647e-05 eta: 1 day, 0:51:58 time: 1.5374 data_time: 0.0384 memory: 20933 grad_norm: 0.4282 loss: 0.3831 detection_loss_cls: 0.0367 detection_loss_reg: 0.3464 2023/11/28 17:42:51 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/28 17:42:51 - mmengine - INFO - Iter(train) [ 62000/120000] base_lr: 9.5821e-05 lr: 1.0529e-05 eta: 1 day, 0:40:15 time: 1.5465 data_time: 0.0384 memory: 20933 grad_norm: 0.4284 loss: 0.3823 detection_loss_cls: 0.0366 detection_loss_reg: 0.3456 2023/11/28 17:42:51 - mmengine - INFO - Saving checkpoint at 62000 iterations 2023/11/28 17:55:48 - mmengine - INFO - Iter(train) [ 62500/120000] base_lr: 9.4528e-05 lr: 1.0412e-05 eta: 1 day, 0:29:30 time: 1.5512 data_time: 0.0384 memory: 20933 grad_norm: 0.4283 loss: 0.3790 detection_loss_cls: 0.0361 detection_loss_reg: 0.3429 2023/11/28 18:08:34 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/28 18:08:34 - mmengine - INFO - Iter(train) [ 63000/120000] base_lr: 9.3235e-05 lr: 1.0294e-05 eta: 1 day, 0:16:37 time: 1.5544 data_time: 0.0384 memory: 20933 grad_norm: 0.4286 loss: 0.3766 detection_loss_cls: 0.0359 detection_loss_reg: 0.3407 2023/11/28 18:08:34 - mmengine - INFO - Saving checkpoint at 63000 iterations 2023/11/28 18:21:36 - mmengine - INFO - Iter(train) [ 63500/120000] base_lr: 9.1944e-05 lr: 1.0177e-05 eta: 1 day, 0:05:57 time: 1.5568 data_time: 0.0384 memory: 20933 grad_norm: 0.4288 loss: 0.3758 detection_loss_cls: 0.0358 detection_loss_reg: 0.3400 2023/11/28 18:34:28 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/28 18:34:28 - mmengine - INFO - Iter(train) [ 64000/120000] base_lr: 9.0654e-05 lr: 1.0059e-05 eta: 23:53:46 time: 1.5606 data_time: 0.0385 memory: 20933 grad_norm: 0.4289 loss: 0.3781 detection_loss_cls: 0.0359 detection_loss_reg: 0.3422 2023/11/28 18:34:28 - mmengine - INFO - Saving checkpoint at 64000 iterations 2023/11/28 18:47:29 - mmengine - INFO - Iter(train) [ 64500/120000] base_lr: 8.9366e-05 lr: 9.9424e-06 eta: 23:42:32 time: 1.5488 data_time: 0.0249 memory: 20933 grad_norm: 0.4287 loss: 0.3768 detection_loss_cls: 0.0356 detection_loss_reg: 0.3412 2023/11/28 19:00:21 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/28 19:00:21 - mmengine - INFO - Iter(train) [ 65000/120000] base_lr: 8.8080e-05 lr: 9.8255e-06 eta: 23:30:03 time: 1.5503 data_time: 0.0249 memory: 20933 grad_norm: 0.4298 loss: 0.3793 detection_loss_cls: 0.0357 detection_loss_reg: 0.3435 2023/11/28 19:00:21 - mmengine - INFO - Saving checkpoint at 65000 iterations 2023/11/28 19:03:03 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.3036 data_time: 0.0051 memory: 7026 2023/11/28 19:03:49 - mmengine - INFO - Evaluating bbox... 2023/11/28 19:04:46 - mmengine - INFO - bbox_mAP_copypaste: 0.431 0.604 0.466 0.267 0.482 0.561 2023/11/28 19:04:47 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.4310 coco/bbox_mAP_50: 0.6040 coco/bbox_mAP_75: 0.4660 coco/bbox_mAP_s: 0.2670 coco/bbox_mAP_m: 0.4820 coco/bbox_mAP_l: 0.5610 data_time: 0.0040 time: 0.3025 2023/11/28 19:17:31 - mmengine - INFO - Iter(train) [ 65500/120000] base_lr: 8.6797e-05 lr: 9.7088e-06 eta: 23:23:42 time: 1.5624 data_time: 0.0387 memory: 20933 grad_norm: 0.4298 loss: 0.3798 detection_loss_cls: 0.0357 detection_loss_reg: 0.3441 2023/11/28 19:30:15 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/28 19:30:15 - mmengine - INFO - Iter(train) [ 66000/120000] base_lr: 8.5516e-05 lr: 9.5923e-06 eta: 23:10:01 time: 1.5609 data_time: 0.0387 memory: 20933 grad_norm: 0.4303 loss: 0.3802 detection_loss_cls: 0.0358 detection_loss_reg: 0.3444 2023/11/28 19:30:15 - mmengine - INFO - Saving checkpoint at 66000 iterations 2023/11/28 19:43:12 - mmengine - INFO - Iter(train) [ 66500/120000] base_lr: 8.4237e-05 lr: 9.4761e-06 eta: 22:57:35 time: 1.5609 data_time: 0.0387 memory: 20933 grad_norm: 0.4312 loss: 0.3834 detection_loss_cls: 0.0360 detection_loss_reg: 0.3474 2023/11/28 19:55:52 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/28 19:55:52 - mmengine - INFO - Iter(train) [ 67000/120000] base_lr: 8.2961e-05 lr: 9.3601e-06 eta: 22:43:34 time: 1.5592 data_time: 0.0387 memory: 20933 grad_norm: 0.4312 loss: 0.3846 detection_loss_cls: 0.0359 detection_loss_reg: 0.3487 2023/11/28 19:55:52 - mmengine - INFO - Saving checkpoint at 67000 iterations 2023/11/28 20:08:52 - mmengine - INFO - Iter(train) [ 67500/120000] base_lr: 8.1689e-05 lr: 9.2444e-06 eta: 22:31:23 time: 1.5589 data_time: 0.0387 memory: 20933 grad_norm: 0.4315 loss: 0.3833 detection_loss_cls: 0.0356 detection_loss_reg: 0.3477 2023/11/28 20:21:42 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/28 20:21:42 - mmengine - INFO - Iter(train) [ 68000/120000] base_lr: 8.0419e-05 lr: 9.1290e-06 eta: 22:18:19 time: 1.5582 data_time: 0.0388 memory: 20933 grad_norm: 0.4317 loss: 0.3816 detection_loss_cls: 0.0354 detection_loss_reg: 0.3462 2023/11/28 20:21:42 - mmengine - INFO - Saving checkpoint at 68000 iterations 2023/11/28 20:34:34 - mmengine - INFO - Iter(train) [ 68500/120000] base_lr: 7.9153e-05 lr: 9.0140e-06 eta: 22:05:26 time: 1.5560 data_time: 0.0389 memory: 20933 grad_norm: 0.4324 loss: 0.3833 detection_loss_cls: 0.0354 detection_loss_reg: 0.3479 2023/11/28 20:47:15 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/28 20:47:15 - mmengine - INFO - Iter(train) [ 69000/120000] base_lr: 7.7891e-05 lr: 8.8992e-06 eta: 21:51:45 time: 1.5532 data_time: 0.0389 memory: 20933 grad_norm: 0.4322 loss: 0.3816 detection_loss_cls: 0.0351 detection_loss_reg: 0.3465 2023/11/28 20:47:15 - mmengine - INFO - Saving checkpoint at 69000 iterations 2023/11/28 21:00:11 - mmengine - INFO - Iter(train) [ 69500/120000] base_lr: 7.6633e-05 lr: 8.7848e-06 eta: 21:39:12 time: 1.5399 data_time: 0.0252 memory: 20933 grad_norm: 0.4337 loss: 0.3817 detection_loss_cls: 0.0350 detection_loss_reg: 0.3467 2023/11/28 21:12:56 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/28 21:12:56 - mmengine - INFO - Iter(train) [ 70000/120000] base_lr: 7.5379e-05 lr: 8.6709e-06 eta: 21:25:55 time: 1.5400 data_time: 0.0253 memory: 20933 grad_norm: 0.4337 loss: 0.3799 detection_loss_cls: 0.0346 detection_loss_reg: 0.3453 2023/11/28 21:12:56 - mmengine - INFO - Saving checkpoint at 70000 iterations 2023/11/28 21:15:39 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.3038 data_time: 0.0051 memory: 7026 2023/11/28 21:16:26 - mmengine - INFO - Evaluating bbox... 2023/11/28 21:17:23 - mmengine - INFO - bbox_mAP_copypaste: 0.430 0.606 0.467 0.259 0.482 0.567 2023/11/28 21:17:23 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.4300 coco/bbox_mAP_50: 0.6060 coco/bbox_mAP_75: 0.4670 coco/bbox_mAP_s: 0.2590 coco/bbox_mAP_m: 0.4820 coco/bbox_mAP_l: 0.5670 data_time: 0.0041 time: 0.3034 2023/11/28 21:30:11 - mmengine - INFO - Iter(train) [ 70500/120000] base_lr: 7.4130e-05 lr: 8.5573e-06 eta: 21:16:53 time: 1.5543 data_time: 0.0392 memory: 20933 grad_norm: 0.4335 loss: 0.3771 detection_loss_cls: 0.0344 detection_loss_reg: 0.3427 2023/11/28 21:43:05 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/28 21:43:05 - mmengine - INFO - Iter(train) [ 71000/120000] base_lr: 7.2885e-05 lr: 8.4441e-06 eta: 21:03:58 time: 1.5579 data_time: 0.0392 memory: 20933 grad_norm: 0.4329 loss: 0.3762 detection_loss_cls: 0.0343 detection_loss_reg: 0.3419 2023/11/28 21:43:05 - mmengine - INFO - Saving checkpoint at 71000 iterations 2023/11/28 21:56:05 - mmengine - INFO - Iter(train) [ 71500/120000] base_lr: 7.1645e-05 lr: 8.3314e-06 eta: 20:51:25 time: 1.5579 data_time: 0.0392 memory: 20933 grad_norm: 0.4327 loss: 0.3750 detection_loss_cls: 0.0343 detection_loss_reg: 0.3407 2023/11/28 22:08:54 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/28 22:08:54 - mmengine - INFO - Iter(train) [ 72000/120000] base_lr: 7.0410e-05 lr: 8.2191e-06 eta: 20:38:15 time: 1.5578 data_time: 0.0391 memory: 20933 grad_norm: 0.4321 loss: 0.3745 detection_loss_cls: 0.0343 detection_loss_reg: 0.3402 2023/11/28 22:08:54 - mmengine - INFO - Saving checkpoint at 72000 iterations 2023/11/28 22:21:55 - mmengine - INFO - Iter(train) [ 72500/120000] base_lr: 6.9180e-05 lr: 8.1073e-06 eta: 20:25:42 time: 1.5600 data_time: 0.0390 memory: 20933 grad_norm: 0.4326 loss: 0.3747 detection_loss_cls: 0.0343 detection_loss_reg: 0.3404 2023/11/28 22:34:45 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/28 22:34:45 - mmengine - INFO - Iter(train) [ 73000/120000] base_lr: 6.7956e-05 lr: 7.9960e-06 eta: 20:12:36 time: 1.5623 data_time: 0.0390 memory: 20933 grad_norm: 0.4325 loss: 0.3738 detection_loss_cls: 0.0341 detection_loss_reg: 0.3397 2023/11/28 22:34:45 - mmengine - INFO - Saving checkpoint at 73000 iterations 2023/11/28 22:47:46 - mmengine - INFO - Iter(train) [ 73500/120000] base_lr: 6.6737e-05 lr: 7.8852e-06 eta: 20:00:01 time: 1.5634 data_time: 0.0389 memory: 20933 grad_norm: 0.4322 loss: 0.3727 detection_loss_cls: 0.0340 detection_loss_reg: 0.3387 2023/11/28 23:00:42 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/28 23:00:42 - mmengine - INFO - Iter(train) [ 74000/120000] base_lr: 6.5524e-05 lr: 7.7749e-06 eta: 19:47:12 time: 1.5662 data_time: 0.0389 memory: 20933 grad_norm: 0.4322 loss: 0.3731 detection_loss_cls: 0.0339 detection_loss_reg: 0.3392 2023/11/28 23:00:42 - mmengine - INFO - Saving checkpoint at 74000 iterations 2023/11/28 23:13:43 - mmengine - INFO - Iter(train) [ 74500/120000] base_lr: 6.4317e-05 lr: 7.6652e-06 eta: 19:34:34 time: 1.5528 data_time: 0.0249 memory: 20933 grad_norm: 0.4331 loss: 0.3737 detection_loss_cls: 0.0338 detection_loss_reg: 0.3399 2023/11/28 23:26:19 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/28 23:26:19 - mmengine - INFO - Iter(train) [ 75000/120000] base_lr: 6.3117e-05 lr: 7.5561e-06 eta: 19:20:54 time: 1.5484 data_time: 0.0249 memory: 20933 grad_norm: 0.4342 loss: 0.3749 detection_loss_cls: 0.0339 detection_loss_reg: 0.3410 2023/11/28 23:26:19 - mmengine - INFO - Saving checkpoint at 75000 iterations 2023/11/28 23:29:02 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.3029 data_time: 0.0041 memory: 7026 2023/11/28 23:29:49 - mmengine - INFO - Evaluating bbox... 2023/11/28 23:30:45 - mmengine - INFO - bbox_mAP_copypaste: 0.434 0.611 0.472 0.264 0.484 0.576 2023/11/28 23:30:46 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.4340 coco/bbox_mAP_50: 0.6110 coco/bbox_mAP_75: 0.4720 coco/bbox_mAP_s: 0.2640 coco/bbox_mAP_m: 0.4840 coco/bbox_mAP_l: 0.5760 data_time: 0.0041 time: 0.3036 2023/11/28 23:43:20 - mmengine - INFO - Iter(train) [ 75500/120000] base_lr: 6.1923e-05 lr: 7.4475e-06 eta: 19:09:52 time: 1.5584 data_time: 0.0386 memory: 20933 grad_norm: 0.4354 loss: 0.3763 detection_loss_cls: 0.0339 detection_loss_reg: 0.3425 2023/11/28 23:56:05 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/28 23:56:05 - mmengine - INFO - Iter(train) [ 76000/120000] base_lr: 6.0735e-05 lr: 7.3396e-06 eta: 18:56:33 time: 1.5574 data_time: 0.0386 memory: 20933 grad_norm: 0.4362 loss: 0.3756 detection_loss_cls: 0.0337 detection_loss_reg: 0.3419 2023/11/28 23:56:05 - mmengine - INFO - Saving checkpoint at 76000 iterations 2023/11/29 00:08:58 - mmengine - INFO - Iter(train) [ 76500/120000] base_lr: 5.9555e-05 lr: 7.2323e-06 eta: 18:43:32 time: 1.5553 data_time: 0.0386 memory: 20933 grad_norm: 0.4360 loss: 0.3739 detection_loss_cls: 0.0335 detection_loss_reg: 0.3404 2023/11/29 00:21:38 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/29 00:21:38 - mmengine - INFO - Iter(train) [ 77000/120000] base_lr: 5.8382e-05 lr: 7.1256e-06 eta: 18:30:06 time: 1.5529 data_time: 0.0387 memory: 20933 grad_norm: 0.4370 loss: 0.3736 detection_loss_cls: 0.0335 detection_loss_reg: 0.3401 2023/11/29 00:21:38 - mmengine - INFO - Saving checkpoint at 77000 iterations 2023/11/29 00:34:35 - mmengine - INFO - Iter(train) [ 77500/120000] base_lr: 5.7216e-05 lr: 7.0196e-06 eta: 18:17:15 time: 1.5518 data_time: 0.0387 memory: 20933 grad_norm: 0.4383 loss: 0.3727 detection_loss_cls: 0.0333 detection_loss_reg: 0.3393 2023/11/29 00:47:19 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/29 00:47:19 - mmengine - INFO - Iter(train) [ 78000/120000] base_lr: 5.6057e-05 lr: 6.9143e-06 eta: 18:04:01 time: 1.5489 data_time: 0.0387 memory: 20933 grad_norm: 0.4390 loss: 0.3697 detection_loss_cls: 0.0331 detection_loss_reg: 0.3366 2023/11/29 00:47:19 - mmengine - INFO - Saving checkpoint at 78000 iterations 2023/11/29 01:00:10 - mmengine - INFO - Iter(train) [ 78500/120000] base_lr: 5.4906e-05 lr: 6.8097e-06 eta: 17:51:00 time: 1.5465 data_time: 0.0388 memory: 20933 grad_norm: 0.4396 loss: 0.3692 detection_loss_cls: 0.0331 detection_loss_reg: 0.3362 2023/11/29 01:12:50 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/29 01:12:50 - mmengine - INFO - Iter(train) [ 79000/120000] base_lr: 5.3764e-05 lr: 6.7058e-06 eta: 17:37:39 time: 1.5474 data_time: 0.0388 memory: 20933 grad_norm: 0.4408 loss: 0.3671 detection_loss_cls: 0.0328 detection_loss_reg: 0.3343 2023/11/29 01:12:50 - mmengine - INFO - Saving checkpoint at 79000 iterations 2023/11/29 01:25:47 - mmengine - INFO - Iter(train) [ 79500/120000] base_lr: 5.2629e-05 lr: 6.6026e-06 eta: 17:24:49 time: 1.5364 data_time: 0.0252 memory: 20933 grad_norm: 0.4410 loss: 0.3657 detection_loss_cls: 0.0326 detection_loss_reg: 0.3331 2023/11/29 01:38:34 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/29 01:38:34 - mmengine - INFO - Iter(train) [ 80000/120000] base_lr: 5.1502e-05 lr: 6.5002e-06 eta: 17:11:44 time: 1.5371 data_time: 0.0252 memory: 20933 grad_norm: 0.4419 loss: 0.3647 detection_loss_cls: 0.0324 detection_loss_reg: 0.3323 2023/11/29 01:38:34 - mmengine - INFO - Saving checkpoint at 80000 iterations 2023/11/29 01:41:17 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.3030 data_time: 0.0041 memory: 7026 2023/11/29 01:42:05 - mmengine - INFO - Evaluating bbox... 2023/11/29 01:43:00 - mmengine - INFO - bbox_mAP_copypaste: 0.437 0.614 0.476 0.264 0.481 0.590 2023/11/29 01:43:01 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.4370 coco/bbox_mAP_50: 0.6140 coco/bbox_mAP_75: 0.4760 coco/bbox_mAP_s: 0.2640 coco/bbox_mAP_m: 0.4810 coco/bbox_mAP_l: 0.5900 data_time: 0.0040 time: 0.3044 2023/11/29 01:55:38 - mmengine - INFO - Iter(train) [ 80500/120000] base_lr: 5.0384e-05 lr: 6.3986e-06 eta: 17:00:11 time: 1.5494 data_time: 0.0387 memory: 20933 grad_norm: 0.4417 loss: 0.3647 detection_loss_cls: 0.0322 detection_loss_reg: 0.3324 2023/11/29 02:08:13 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/29 02:08:13 - mmengine - INFO - Iter(train) [ 81000/120000] base_lr: 4.9275e-05 lr: 6.2977e-06 eta: 16:46:45 time: 1.5482 data_time: 0.0387 memory: 20933 grad_norm: 0.4418 loss: 0.3644 detection_loss_cls: 0.0322 detection_loss_reg: 0.3322 2023/11/29 02:08:13 - mmengine - INFO - Saving checkpoint at 81000 iterations 2023/11/29 02:21:04 - mmengine - INFO - Iter(train) [ 81500/120000] base_lr: 4.8174e-05 lr: 6.1977e-06 eta: 16:33:44 time: 1.5468 data_time: 0.0387 memory: 20933 grad_norm: 0.4412 loss: 0.3633 detection_loss_cls: 0.0319 detection_loss_reg: 0.3314 2023/11/29 02:33:40 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/29 02:33:40 - mmengine - INFO - Iter(train) [ 82000/120000] base_lr: 4.7083e-05 lr: 6.0984e-06 eta: 16:20:22 time: 1.5446 data_time: 0.0387 memory: 20933 grad_norm: 0.4420 loss: 0.3641 detection_loss_cls: 0.0319 detection_loss_reg: 0.3322 2023/11/29 02:33:40 - mmengine - INFO - Saving checkpoint at 82000 iterations 2023/11/29 02:46:28 - mmengine - INFO - Iter(train) [ 82500/120000] base_lr: 4.6001e-05 lr: 6.0001e-06 eta: 16:07:19 time: 1.5439 data_time: 0.0387 memory: 20933 grad_norm: 0.4415 loss: 0.3639 detection_loss_cls: 0.0317 detection_loss_reg: 0.3322 2023/11/29 02:59:10 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/29 02:59:10 - mmengine - INFO - Iter(train) [ 83000/120000] base_lr: 4.4928e-05 lr: 5.9025e-06 eta: 15:54:09 time: 1.5444 data_time: 0.0387 memory: 20933 grad_norm: 0.4417 loss: 0.3647 detection_loss_cls: 0.0318 detection_loss_reg: 0.3329 2023/11/29 02:59:10 - mmengine - INFO - Saving checkpoint at 83000 iterations 2023/11/29 03:12:05 - mmengine - INFO - Iter(train) [ 83500/120000] base_lr: 4.3865e-05 lr: 5.8059e-06 eta: 15:41:17 time: 1.5441 data_time: 0.0386 memory: 20933 grad_norm: 0.4429 loss: 0.3652 detection_loss_cls: 0.0318 detection_loss_reg: 0.3334 2023/11/29 03:24:49 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008 2023/11/29 03:24:49 - mmengine - INFO - Iter(train) [ 84000/120000] base_lr: 4.2811e-05 lr: 5.7101e-06 eta: 15:28:10 time: 1.5431 data_time: 0.0386 memory: 20933 grad_norm: 0.4437 loss: 0.3663 detection_loss_cls: 0.0320 detection_loss_reg: 0.3342 2023/11/29 03:24:49 - mmengine - INFO - Saving checkpoint at 84000 iterations 2023/11/29 04:13:34 - mmengine - INFO - Iter(train) [ 84500/120000] base_lr: 4.1768e-05 lr: 5.6153e-06 eta: 14:03:15 time: 1.5158 data_time: 0.0222 memory: 20929 grad_norm: 0.4453 loss: 0.3681 detection_loss_cls: 0.0321 detection_loss_reg: 0.3360 2023/11/29 04:25:26 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 04:25:26 - mmengine - INFO - Iter(train) [ 85000/120000] base_lr: 4.0735e-05 lr: 5.5213e-06 eta: 13:50:54 time: 1.5049 data_time: 0.0220 memory: 20929 grad_norm: 0.4463 loss: 0.3688 detection_loss_cls: 0.0321 detection_loss_reg: 0.3368 2023/11/29 04:25:26 - mmengine - INFO - Saving checkpoint at 85000 iterations 2023/11/29 04:28:07 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.3028 data_time: 0.0041 memory: 7026 2023/11/29 04:28:54 - mmengine - INFO - Evaluating bbox... 2023/11/29 04:29:50 - mmengine - INFO - bbox_mAP_copypaste: 0.441 0.616 0.481 0.268 0.490 0.578 2023/11/29 04:29:51 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.4410 coco/bbox_mAP_50: 0.6160 coco/bbox_mAP_75: 0.4810 coco/bbox_mAP_s: 0.2680 coco/bbox_mAP_m: 0.4900 coco/bbox_mAP_l: 0.5780 data_time: 0.0044 time: 0.3008 2023/11/29 04:42:01 - mmengine - INFO - Iter(train) [ 85500/120000] base_lr: 3.9712e-05 lr: 5.4283e-06 eta: 14:10:59 time: 1.5111 data_time: 0.0356 memory: 20929 grad_norm: 0.4473 loss: 0.3697 detection_loss_cls: 0.0321 detection_loss_reg: 0.3376 2023/11/29 04:54:13 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 04:54:13 - mmengine - INFO - Iter(train) [ 86000/120000] base_lr: 3.8699e-05 lr: 5.3363e-06 eta: 13:56:30 time: 1.5052 data_time: 0.0354 memory: 20929 grad_norm: 0.4478 loss: 0.3688 detection_loss_cls: 0.0320 detection_loss_reg: 0.3368 2023/11/29 04:54:13 - mmengine - INFO - Saving checkpoint at 86000 iterations 2023/11/29 05:06:46 - mmengine - INFO - Iter(train) [ 86500/120000] base_lr: 3.7698e-05 lr: 5.2452e-06 eta: 13:47:31 time: 1.5015 data_time: 0.0353 memory: 20929 grad_norm: 0.4491 loss: 0.3665 detection_loss_cls: 0.0318 detection_loss_reg: 0.3347 2023/11/29 05:19:11 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 05:19:11 - mmengine - INFO - Iter(train) [ 87000/120000] base_lr: 3.6707e-05 lr: 5.1551e-06 eta: 13:35:47 time: 1.4971 data_time: 0.0352 memory: 20929 grad_norm: 0.4493 loss: 0.3659 detection_loss_cls: 0.0317 detection_loss_reg: 0.3342 2023/11/29 05:19:11 - mmengine - INFO - Saving checkpoint at 87000 iterations 2023/11/29 05:31:55 - mmengine - INFO - Iter(train) [ 87500/120000] base_lr: 3.5727e-05 lr: 5.0661e-06 eta: 13:26:51 time: 1.4943 data_time: 0.0351 memory: 20929 grad_norm: 0.4488 loss: 0.3646 detection_loss_cls: 0.0315 detection_loss_reg: 0.3332 2023/11/29 05:44:22 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 05:44:22 - mmengine - INFO - Iter(train) [ 88000/120000] base_lr: 3.4758e-05 lr: 4.9780e-06 eta: 13:14:43 time: 1.4901 data_time: 0.0350 memory: 20929 grad_norm: 0.4488 loss: 0.3641 detection_loss_cls: 0.0313 detection_loss_reg: 0.3328 2023/11/29 05:44:22 - mmengine - INFO - Saving checkpoint at 88000 iterations 2023/11/29 05:57:02 - mmengine - INFO - Iter(train) [ 88500/120000] base_lr: 3.3801e-05 lr: 4.8910e-06 eta: 13:04:03 time: 1.5020 data_time: 0.0377 memory: 20929 grad_norm: 0.4487 loss: 0.3607 detection_loss_cls: 0.0310 detection_loss_reg: 0.3297 2023/11/29 06:09:32 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 06:09:32 - mmengine - INFO - Iter(train) [ 89000/120000] base_lr: 3.2855e-05 lr: 4.8050e-06 eta: 12:51:56 time: 1.5115 data_time: 0.0377 memory: 20929 grad_norm: 0.4490 loss: 0.3598 detection_loss_cls: 0.0309 detection_loss_reg: 0.3289 2023/11/29 06:09:32 - mmengine - INFO - Saving checkpoint at 89000 iterations 2023/11/29 06:22:12 - mmengine - INFO - Iter(train) [ 89500/120000] base_lr: 3.1921e-05 lr: 4.7201e-06 eta: 12:40:42 time: 1.5027 data_time: 0.0240 memory: 20929 grad_norm: 0.4496 loss: 0.3577 detection_loss_cls: 0.0307 detection_loss_reg: 0.3270 2023/11/29 06:34:43 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 06:34:43 - mmengine - INFO - Iter(train) [ 90000/120000] base_lr: 3.0998e-05 lr: 4.6362e-06 eta: 12:28:25 time: 1.5072 data_time: 0.0240 memory: 20929 grad_norm: 0.4501 loss: 0.3576 detection_loss_cls: 0.0305 detection_loss_reg: 0.3271 2023/11/29 06:34:43 - mmengine - INFO - Saving checkpoint at 90000 iterations 2023/11/29 06:37:25 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.3028 data_time: 0.0041 memory: 7026 2023/11/29 06:38:11 - mmengine - INFO - Evaluating bbox... 2023/11/29 06:39:08 - mmengine - INFO - bbox_mAP_copypaste: 0.443 0.619 0.480 0.265 0.490 0.591 2023/11/29 06:39:09 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.4430 coco/bbox_mAP_50: 0.6190 coco/bbox_mAP_75: 0.4800 coco/bbox_mAP_s: 0.2650 coco/bbox_mAP_m: 0.4900 coco/bbox_mAP_l: 0.5910 data_time: 0.0041 time: 0.3026 2023/11/29 06:51:35 - mmengine - INFO - Iter(train) [ 90500/120000] base_lr: 3.0088e-05 lr: 4.5534e-06 eta: 12:20:44 time: 1.5219 data_time: 0.0377 memory: 20929 grad_norm: 0.4513 loss: 0.3585 detection_loss_cls: 0.0305 detection_loss_reg: 0.3280 2023/11/29 07:04:01 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 07:04:01 - mmengine - INFO - Iter(train) [ 91000/120000] base_lr: 2.9190e-05 lr: 4.4718e-06 eta: 12:07:40 time: 1.5223 data_time: 0.0377 memory: 20929 grad_norm: 0.4523 loss: 0.3545 detection_loss_cls: 0.0300 detection_loss_reg: 0.3245 2023/11/29 07:04:01 - mmengine - INFO - Saving checkpoint at 91000 iterations 2023/11/29 07:16:49 - mmengine - INFO - Iter(train) [ 91500/120000] base_lr: 2.8304e-05 lr: 4.3913e-06 eta: 11:56:06 time: 1.5234 data_time: 0.0377 memory: 20929 grad_norm: 0.4533 loss: 0.3537 detection_loss_cls: 0.0299 detection_loss_reg: 0.3238 2023/11/29 07:29:19 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 07:29:19 - mmengine - INFO - Iter(train) [ 92000/120000] base_lr: 2.7430e-05 lr: 4.3119e-06 eta: 11:43:19 time: 1.5241 data_time: 0.0376 memory: 20929 grad_norm: 0.4539 loss: 0.3532 detection_loss_cls: 0.0299 detection_loss_reg: 0.3233 2023/11/29 07:29:19 - mmengine - INFO - Saving checkpoint at 92000 iterations 2023/11/29 07:42:03 - mmengine - INFO - Iter(train) [ 92500/120000] base_lr: 2.6570e-05 lr: 4.2336e-06 eta: 11:31:17 time: 1.5250 data_time: 0.0376 memory: 20929 grad_norm: 0.4549 loss: 0.3542 detection_loss_cls: 0.0300 detection_loss_reg: 0.3242 2023/11/29 07:54:36 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 07:54:36 - mmengine - INFO - Iter(train) [ 93000/120000] base_lr: 2.5721e-05 lr: 4.1565e-06 eta: 11:18:40 time: 1.5258 data_time: 0.0376 memory: 20929 grad_norm: 0.4554 loss: 0.3524 detection_loss_cls: 0.0297 detection_loss_reg: 0.3227 2023/11/29 07:54:36 - mmengine - INFO - Saving checkpoint at 93000 iterations 2023/11/29 08:07:15 - mmengine - INFO - Iter(train) [ 93500/120000] base_lr: 2.4886e-05 lr: 4.0806e-06 eta: 11:06:21 time: 1.5256 data_time: 0.0375 memory: 20929 grad_norm: 0.4558 loss: 0.3536 detection_loss_cls: 0.0298 detection_loss_reg: 0.3238 2023/11/29 08:19:49 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 08:19:49 - mmengine - INFO - Iter(train) [ 94000/120000] base_lr: 2.4064e-05 lr: 4.0058e-06 eta: 10:53:43 time: 1.5262 data_time: 0.0375 memory: 20929 grad_norm: 0.4562 loss: 0.3534 detection_loss_cls: 0.0298 detection_loss_reg: 0.3236 2023/11/29 08:19:49 - mmengine - INFO - Saving checkpoint at 94000 iterations 2023/11/29 08:32:33 - mmengine - INFO - Iter(train) [ 94500/120000] base_lr: 2.3255e-05 lr: 3.9323e-06 eta: 10:41:33 time: 1.5144 data_time: 0.0237 memory: 20929 grad_norm: 0.4560 loss: 0.3520 detection_loss_cls: 0.0297 detection_loss_reg: 0.3223 2023/11/29 08:45:06 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 08:45:06 - mmengine - INFO - Iter(train) [ 95000/120000] base_lr: 2.2460e-05 lr: 3.8600e-06 eta: 10:28:54 time: 1.5161 data_time: 0.0237 memory: 20929 grad_norm: 0.4565 loss: 0.3532 detection_loss_cls: 0.0298 detection_loss_reg: 0.3234 2023/11/29 08:45:06 - mmengine - INFO - Saving checkpoint at 95000 iterations 2023/11/29 08:47:47 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.3028 data_time: 0.0041 memory: 7026 2023/11/29 08:48:33 - mmengine - INFO - Evaluating bbox... 2023/11/29 08:49:29 - mmengine - INFO - bbox_mAP_copypaste: 0.447 0.622 0.487 0.271 0.496 0.595 2023/11/29 08:49:30 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.4470 coco/bbox_mAP_50: 0.6220 coco/bbox_mAP_75: 0.4870 coco/bbox_mAP_s: 0.2710 coco/bbox_mAP_m: 0.4960 coco/bbox_mAP_l: 0.5950 data_time: 0.0040 time: 0.3010 2023/11/29 09:01:59 - mmengine - INFO - Iter(train) [ 95500/120000] base_lr: 2.1677e-05 lr: 3.7889e-06 eta: 10:18:27 time: 1.5277 data_time: 0.0373 memory: 20929 grad_norm: 0.4578 loss: 0.3540 detection_loss_cls: 0.0298 detection_loss_reg: 0.3242 2023/11/29 09:14:33 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 09:14:33 - mmengine - INFO - Iter(train) [ 96000/120000] base_lr: 2.0909e-05 lr: 3.7190e-06 eta: 10:05:42 time: 1.5285 data_time: 0.0373 memory: 20929 grad_norm: 0.4586 loss: 0.3537 detection_loss_cls: 0.0297 detection_loss_reg: 0.3240 2023/11/29 09:14:33 - mmengine - INFO - Saving checkpoint at 96000 iterations 2023/11/29 09:27:17 - mmengine - INFO - Iter(train) [ 96500/120000] base_lr: 2.0154e-05 lr: 3.6504e-06 eta: 9:53:17 time: 1.5286 data_time: 0.0373 memory: 20929 grad_norm: 0.4597 loss: 0.3554 detection_loss_cls: 0.0298 detection_loss_reg: 0.3256 2023/11/29 09:39:56 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 09:39:56 - mmengine - INFO - Iter(train) [ 97000/120000] base_lr: 1.9413e-05 lr: 3.5830e-06 eta: 9:40:43 time: 1.5301 data_time: 0.0373 memory: 20929 grad_norm: 0.4601 loss: 0.3536 detection_loss_cls: 0.0296 detection_loss_reg: 0.3240 2023/11/29 09:39:56 - mmengine - INFO - Saving checkpoint at 97000 iterations 2023/11/29 09:52:43 - mmengine - INFO - Iter(train) [ 97500/120000] base_lr: 1.8686e-05 lr: 3.5169e-06 eta: 9:28:21 time: 1.5320 data_time: 0.0374 memory: 20929 grad_norm: 0.4603 loss: 0.3524 detection_loss_cls: 0.0294 detection_loss_reg: 0.3229 2023/11/29 10:05:20 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 10:05:20 - mmengine - INFO - Iter(train) [ 98000/120000] base_lr: 1.7973e-05 lr: 3.4521e-06 eta: 9:15:41 time: 1.5329 data_time: 0.0374 memory: 20929 grad_norm: 0.4607 loss: 0.3539 detection_loss_cls: 0.0296 detection_loss_reg: 0.3242 2023/11/29 10:05:20 - mmengine - INFO - Saving checkpoint at 98000 iterations 2023/11/29 10:18:11 - mmengine - INFO - Iter(train) [ 98500/120000] base_lr: 1.7274e-05 lr: 3.3886e-06 eta: 9:03:24 time: 1.5346 data_time: 0.0374 memory: 20929 grad_norm: 0.4613 loss: 0.3547 detection_loss_cls: 0.0296 detection_loss_reg: 0.3251 2023/11/29 10:30:48 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 10:30:48 - mmengine - INFO - Iter(train) [ 99000/120000] base_lr: 1.6590e-05 lr: 3.3264e-06 eta: 8:50:43 time: 1.5355 data_time: 0.0374 memory: 20929 grad_norm: 0.4619 loss: 0.3571 detection_loss_cls: 0.0298 detection_loss_reg: 0.3272 2023/11/29 10:30:48 - mmengine - INFO - Saving checkpoint at 99000 iterations 2023/11/29 10:43:31 - mmengine - INFO - Iter(train) [ 99500/120000] base_lr: 1.5920e-05 lr: 3.2655e-06 eta: 8:38:12 time: 1.5227 data_time: 0.0238 memory: 20929 grad_norm: 0.4615 loss: 0.3573 detection_loss_cls: 0.0299 detection_loss_reg: 0.3274 2023/11/29 10:56:05 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 10:56:05 - mmengine - INFO - Iter(train) [100000/120000] base_lr: 1.5265e-05 lr: 3.2059e-06 eta: 8:25:27 time: 1.5228 data_time: 0.0238 memory: 20929 grad_norm: 0.4617 loss: 0.3566 detection_loss_cls: 0.0298 detection_loss_reg: 0.3268 2023/11/29 10:56:05 - mmengine - INFO - Saving checkpoint at 100000 iterations 2023/11/29 10:58:46 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.3026 data_time: 0.0041 memory: 7026 2023/11/29 10:59:32 - mmengine - INFO - Evaluating bbox... 2023/11/29 11:00:28 - mmengine - INFO - bbox_mAP_copypaste: 0.446 0.622 0.485 0.270 0.492 0.592 2023/11/29 11:00:29 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.4460 coco/bbox_mAP_50: 0.6220 coco/bbox_mAP_75: 0.4850 coco/bbox_mAP_s: 0.2700 coco/bbox_mAP_m: 0.4920 coco/bbox_mAP_l: 0.5920 data_time: 0.0040 time: 0.3018 2023/11/29 11:13:03 - mmengine - INFO - Iter(train) [100500/120000] base_lr: 1.4624e-05 lr: 3.1477e-06 eta: 8:14:01 time: 1.5366 data_time: 0.0374 memory: 20929 grad_norm: 0.4625 loss: 0.3547 detection_loss_cls: 0.0295 detection_loss_reg: 0.3252 2023/11/29 11:25:37 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 11:25:37 - mmengine - INFO - Iter(train) [101000/120000] base_lr: 1.3998e-05 lr: 3.0908e-06 eta: 8:01:14 time: 1.5353 data_time: 0.0375 memory: 20929 grad_norm: 0.4638 loss: 0.3558 detection_loss_cls: 0.0296 detection_loss_reg: 0.3262 2023/11/29 11:25:37 - mmengine - INFO - Saving checkpoint at 101000 iterations 2023/11/29 11:38:26 - mmengine - INFO - Iter(train) [101500/120000] base_lr: 1.3387e-05 lr: 3.0352e-06 eta: 7:48:43 time: 1.5356 data_time: 0.0376 memory: 20929 grad_norm: 0.4653 loss: 0.3566 detection_loss_cls: 0.0297 detection_loss_reg: 0.3269 2023/11/29 11:51:04 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 11:51:04 - mmengine - INFO - Iter(train) [102000/120000] base_lr: 1.2792e-05 lr: 2.9810e-06 eta: 7:36:02 time: 1.5361 data_time: 0.0377 memory: 20929 grad_norm: 0.4657 loss: 0.3558 detection_loss_cls: 0.0295 detection_loss_reg: 0.3263 2023/11/29 11:51:04 - mmengine - INFO - Saving checkpoint at 102000 iterations 2023/11/29 12:03:58 - mmengine - INFO - Iter(train) [102500/120000] base_lr: 1.2211e-05 lr: 2.9282e-06 eta: 7:23:34 time: 1.5366 data_time: 0.0379 memory: 20929 grad_norm: 0.4664 loss: 0.3569 detection_loss_cls: 0.0296 detection_loss_reg: 0.3274 2023/11/29 12:16:40 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 12:16:40 - mmengine - INFO - Iter(train) [103000/120000] base_lr: 1.1645e-05 lr: 2.8768e-06 eta: 7:10:56 time: 1.5382 data_time: 0.0380 memory: 20929 grad_norm: 0.4674 loss: 0.3559 detection_loss_cls: 0.0293 detection_loss_reg: 0.3266 2023/11/29 12:16:40 - mmengine - INFO - Saving checkpoint at 103000 iterations 2023/11/29 12:29:16 - mmengine - INFO - Iter(train) [103500/120000] base_lr: 1.1095e-05 lr: 2.8268e-06 eta: 6:58:11 time: 1.5362 data_time: 0.0381 memory: 20929 grad_norm: 0.4679 loss: 0.3547 detection_loss_cls: 0.0292 detection_loss_reg: 0.3255 2023/11/29 12:41:40 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 12:41:40 - mmengine - INFO - Iter(train) [104000/120000] base_lr: 1.0560e-05 lr: 2.7782e-06 eta: 6:45:17 time: 1.5338 data_time: 0.0382 memory: 20929 grad_norm: 0.4690 loss: 0.3538 detection_loss_cls: 0.0290 detection_loss_reg: 0.3248 2023/11/29 12:41:40 - mmengine - INFO - Saving checkpoint at 104000 iterations 2023/11/29 12:54:20 - mmengine - INFO - Iter(train) [104500/120000] base_lr: 1.0041e-05 lr: 2.7310e-06 eta: 6:32:38 time: 1.5190 data_time: 0.0247 memory: 20929 grad_norm: 0.4690 loss: 0.3535 detection_loss_cls: 0.0290 detection_loss_reg: 0.3245 2023/11/29 13:06:52 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 13:06:52 - mmengine - INFO - Iter(train) [105000/120000] base_lr: 9.5369e-06 lr: 2.6852e-06 eta: 6:19:52 time: 1.5185 data_time: 0.0248 memory: 20929 grad_norm: 0.4700 loss: 0.3559 detection_loss_cls: 0.0291 detection_loss_reg: 0.3268 2023/11/29 13:06:52 - mmengine - INFO - Saving checkpoint at 105000 iterations 2023/11/29 13:09:33 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.3023 data_time: 0.0041 memory: 7026 2023/11/29 13:10:20 - mmengine - INFO - Evaluating bbox... 2023/11/29 13:11:14 - mmengine - INFO - bbox_mAP_copypaste: 0.445 0.622 0.486 0.273 0.494 0.594 2023/11/29 13:11:15 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.4450 coco/bbox_mAP_50: 0.6220 coco/bbox_mAP_75: 0.4860 coco/bbox_mAP_s: 0.2730 coco/bbox_mAP_m: 0.4940 coco/bbox_mAP_l: 0.5940 data_time: 0.0040 time: 0.3020 2023/11/29 13:23:47 - mmengine - INFO - Iter(train) [105500/120000] base_lr: 9.0488e-06 lr: 2.6408e-06 eta: 6:07:50 time: 1.5304 data_time: 0.0380 memory: 20929 grad_norm: 0.4701 loss: 0.3531 detection_loss_cls: 0.0288 detection_loss_reg: 0.3243 2023/11/29 13:36:28 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 13:36:28 - mmengine - INFO - Iter(train) [106000/120000] base_lr: 8.5765e-06 lr: 2.5979e-06 eta: 5:55:09 time: 1.5309 data_time: 0.0380 memory: 20929 grad_norm: 0.4712 loss: 0.3525 detection_loss_cls: 0.0289 detection_loss_reg: 0.3237 2023/11/29 13:36:28 - mmengine - INFO - Saving checkpoint at 106000 iterations 2023/11/29 13:49:21 - mmengine - INFO - Iter(train) [106500/120000] base_lr: 8.1200e-06 lr: 2.5564e-06 eta: 5:42:34 time: 1.5307 data_time: 0.0380 memory: 20929 grad_norm: 0.4719 loss: 0.3505 detection_loss_cls: 0.0286 detection_loss_reg: 0.3218 2023/11/29 14:02:02 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 14:02:02 - mmengine - INFO - Iter(train) [107000/120000] base_lr: 7.6794e-06 lr: 2.5163e-06 eta: 5:29:53 time: 1.5303 data_time: 0.0379 memory: 20929 grad_norm: 0.4723 loss: 0.3501 detection_loss_cls: 0.0286 detection_loss_reg: 0.3216 2023/11/29 14:02:02 - mmengine - INFO - Saving checkpoint at 107000 iterations 2023/11/29 14:14:45 - mmengine - INFO - Iter(train) [107500/120000] base_lr: 7.2548e-06 lr: 2.4777e-06 eta: 5:17:13 time: 1.5322 data_time: 0.0380 memory: 20929 grad_norm: 0.4731 loss: 0.3491 detection_loss_cls: 0.0286 detection_loss_reg: 0.3205 2023/11/29 14:27:22 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 14:27:22 - mmengine - INFO - Iter(train) [108000/120000] base_lr: 6.8462e-06 lr: 2.4406e-06 eta: 5:04:29 time: 1.5355 data_time: 0.0380 memory: 20929 grad_norm: 0.4732 loss: 0.3505 detection_loss_cls: 0.0286 detection_loss_reg: 0.3219 2023/11/29 14:27:22 - mmengine - INFO - Saving checkpoint at 108000 iterations 2023/11/29 14:40:09 - mmengine - INFO - Iter(train) [108500/120000] base_lr: 6.4538e-06 lr: 2.4049e-06 eta: 4:51:50 time: 1.5371 data_time: 0.0380 memory: 20929 grad_norm: 0.4734 loss: 0.3509 detection_loss_cls: 0.0285 detection_loss_reg: 0.3224 2023/11/29 14:52:46 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 14:52:46 - mmengine - INFO - Iter(train) [109000/120000] base_lr: 6.0776e-06 lr: 2.3707e-06 eta: 4:39:07 time: 1.5384 data_time: 0.0380 memory: 20929 grad_norm: 0.4736 loss: 0.3492 detection_loss_cls: 0.0284 detection_loss_reg: 0.3208 2023/11/29 14:52:46 - mmengine - INFO - Saving checkpoint at 109000 iterations 2023/11/29 15:05:30 - mmengine - INFO - Iter(train) [109500/120000] base_lr: 5.7176e-06 lr: 2.3380e-06 eta: 4:26:27 time: 1.5254 data_time: 0.0249 memory: 20929 grad_norm: 0.4739 loss: 0.3522 detection_loss_cls: 0.0286 detection_loss_reg: 0.3236 2023/11/29 15:18:07 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 15:18:07 - mmengine - INFO - Iter(train) [110000/120000] base_lr: 5.3740e-06 lr: 2.3067e-06 eta: 4:13:44 time: 1.5245 data_time: 0.0250 memory: 20929 grad_norm: 0.4742 loss: 0.3514 detection_loss_cls: 0.0285 detection_loss_reg: 0.3230 2023/11/29 15:18:07 - mmengine - INFO - Saving checkpoint at 110000 iterations 2023/11/29 15:20:49 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.3021 data_time: 0.0041 memory: 7026 2023/11/29 15:21:36 - mmengine - INFO - Evaluating bbox... 2023/11/29 15:22:32 - mmengine - INFO - bbox_mAP_copypaste: 0.448 0.624 0.487 0.272 0.496 0.597 2023/11/29 15:22:32 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.4480 coco/bbox_mAP_50: 0.6240 coco/bbox_mAP_75: 0.4870 coco/bbox_mAP_s: 0.2720 coco/bbox_mAP_m: 0.4960 coco/bbox_mAP_l: 0.5970 data_time: 0.0041 time: 0.3025 2023/11/29 15:35:04 - mmengine - INFO - Iter(train) [110500/120000] base_lr: 5.0468e-06 lr: 2.2770e-06 eta: 4:01:23 time: 1.5357 data_time: 0.0387 memory: 20929 grad_norm: 0.4748 loss: 0.3534 detection_loss_cls: 0.0287 detection_loss_reg: 0.3248 2023/11/29 15:47:37 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949 2023/11/29 15:47:37 - mmengine - INFO - Iter(train) [111000/120000] base_lr: 4.7360e-06 lr: 2.2487e-06 eta: 3:48:37 time: 1.5336 data_time: 0.0387 memory: 20929 grad_norm: 0.4748 loss: 0.3521 detection_loss_cls: 0.0286 detection_loss_reg: 0.3235 2023/11/29 15:47:37 - mmengine - INFO - Saving checkpoint at 111000 iterations 2023/11/29 17:30:50 - mmengine - INFO - Iter(train) [111500/120000] base_lr: 4.4417e-06 lr: 2.2220e-06 eta: 3:22:00 time: 1.5210 data_time: 0.0359 memory: 20932 grad_norm: 0.4751 loss: 0.3530 detection_loss_cls: 0.0285 detection_loss_reg: 0.3244 2023/11/29 17:42:41 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_171718 2023/11/29 17:42:41 - mmengine - INFO - Iter(train) [112000/120000] base_lr: 4.1639e-06 lr: 2.1967e-06 eta: 3:09:47 time: 1.5094 data_time: 0.0358 memory: 20932 grad_norm: 0.4757 loss: 0.3516 detection_loss_cls: 0.0285 detection_loss_reg: 0.3230 2023/11/29 17:42:41 - mmengine - INFO - Saving checkpoint at 112000 iterations 2023/11/29 17:54:57 - mmengine - INFO - Iter(train) [112500/120000] base_lr: 3.9028e-06 lr: 2.1730e-06 eta: 2:59:57 time: 1.5018 data_time: 0.0358 memory: 20932 grad_norm: 0.4758 loss: 0.3519 detection_loss_cls: 0.0287 detection_loss_reg: 0.3232 2023/11/29 18:07:02 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_171718 2023/11/29 18:07:02 - mmengine - INFO - Iter(train) [113000/120000] base_lr: 3.6582e-06 lr: 2.1507e-06 eta: 2:48:14 time: 1.4938 data_time: 0.0357 memory: 20932 grad_norm: 0.4761 loss: 0.3515 detection_loss_cls: 0.0285 detection_loss_reg: 0.3230 2023/11/29 18:07:02 - mmengine - INFO - Saving checkpoint at 113000 iterations 2023/11/29 18:19:26 - mmengine - INFO - Iter(train) [113500/120000] base_lr: 3.4304e-06 lr: 2.1300e-06 eta: 2:37:14 time: 1.4888 data_time: 0.0356 memory: 20932 grad_norm: 0.4769 loss: 0.3477 detection_loss_cls: 0.0283 detection_loss_reg: 0.3195 2023/11/29 18:31:40 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_171718 2023/11/29 18:31:40 - mmengine - INFO - Iter(train) [114000/120000] base_lr: 3.2193e-06 lr: 2.1108e-06 eta: 2:25:24 time: 1.4830 data_time: 0.0354 memory: 20932 grad_norm: 0.4772 loss: 0.3497 detection_loss_cls: 0.0283 detection_loss_reg: 0.3214 2023/11/29 18:31:40 - mmengine - INFO - Saving checkpoint at 114000 iterations 2023/11/29 18:44:10 - mmengine - INFO - Iter(train) [114500/120000] base_lr: 3.0249e-06 lr: 2.0932e-06 eta: 2:13:53 time: 1.4663 data_time: 0.0217 memory: 20932 grad_norm: 0.4771 loss: 0.3470 detection_loss_cls: 0.0280 detection_loss_reg: 0.3189 2023/11/29 18:56:28 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_171718 2023/11/29 18:56:28 - mmengine - INFO - Iter(train) [115000/120000] base_lr: 2.8473e-06 lr: 2.0770e-06 eta: 2:01:53 time: 1.4626 data_time: 0.0215 memory: 20932 grad_norm: 0.4775 loss: 0.3476 detection_loss_cls: 0.0280 detection_loss_reg: 0.3196 2023/11/29 18:56:28 - mmengine - INFO - Saving checkpoint at 115000 iterations 2023/11/29 18:59:10 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.3018 data_time: 0.0041 memory: 7026 2023/11/29 18:59:56 - mmengine - INFO - Evaluating bbox... 2023/11/29 19:00:53 - mmengine - INFO - bbox_mAP_copypaste: 0.448 0.624 0.491 0.273 0.496 0.595 2023/11/29 19:00:54 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.4480 coco/bbox_mAP_50: 0.6240 coco/bbox_mAP_75: 0.4910 coco/bbox_mAP_s: 0.2730 coco/bbox_mAP_m: 0.4960 coco/bbox_mAP_l: 0.5950 data_time: 0.0044 time: 0.3011 2023/11/29 19:13:13 - mmengine - INFO - Iter(train) [115500/120000] base_lr: 2.6865e-06 lr: 2.0624e-06 eta: 1:50:55 time: 1.4856 data_time: 0.0380 memory: 20933 grad_norm: 0.4783 loss: 0.3491 detection_loss_cls: 0.0281 detection_loss_reg: 0.3210 2023/11/29 19:25:24 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_171718 2023/11/29 19:25:24 - mmengine - INFO - Iter(train) [116000/120000] base_lr: 2.5426e-06 lr: 2.0493e-06 eta: 1:38:29 time: 1.4907 data_time: 0.0380 memory: 20933 grad_norm: 0.4783 loss: 0.3498 detection_loss_cls: 0.0282 detection_loss_reg: 0.3216 2023/11/29 19:25:24 - mmengine - INFO - Saving checkpoint at 116000 iterations 2023/11/29 19:37:51 - mmengine - INFO - Iter(train) [116500/120000] base_lr: 2.4155e-06 lr: 2.0378e-06 eta: 1:26:15 time: 1.4935 data_time: 0.0379 memory: 20933 grad_norm: 0.4784 loss: 0.3479 detection_loss_cls: 0.0280 detection_loss_reg: 0.3199 2023/11/29 19:50:08 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_171718 2023/11/29 19:50:08 - mmengine - INFO - Iter(train) [117000/120000] base_lr: 2.3054e-06 lr: 2.0278e-06 eta: 1:13:54 time: 1.4964 data_time: 0.0379 memory: 20933 grad_norm: 0.4783 loss: 0.3491 detection_loss_cls: 0.0283 detection_loss_reg: 0.3208 2023/11/29 19:50:08 - mmengine - INFO - Saving checkpoint at 117000 iterations 2023/11/29 20:02:47 - mmengine - INFO - Iter(train) [117500/120000] base_lr: 2.2121e-06 lr: 2.0193e-06 eta: 1:01:43 time: 1.5001 data_time: 0.0379 memory: 20933 grad_norm: 0.4787 loss: 0.3515 detection_loss_cls: 0.0285 detection_loss_reg: 0.3230 2023/11/29 20:15:17 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_171718 2023/11/29 20:15:17 - mmengine - INFO - Iter(train) [118000/120000] base_lr: 2.1358e-06 lr: 2.0123e-06 eta: 0:49:25 time: 1.5042 data_time: 0.0379 memory: 20933 grad_norm: 0.4792 loss: 0.3504 detection_loss_cls: 0.0285 detection_loss_reg: 0.3219 2023/11/29 20:15:17 - mmengine - INFO - Saving checkpoint at 118000 iterations 2023/11/29 20:27:59 - mmengine - INFO - Iter(train) [118500/120000] base_lr: 2.0764e-06 lr: 2.0069e-06 eta: 0:37:08 time: 1.5071 data_time: 0.0380 memory: 20933 grad_norm: 0.4797 loss: 0.3510 detection_loss_cls: 0.0285 detection_loss_reg: 0.3225 2023/11/29 20:40:29 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_171718 2023/11/29 20:40:29 - mmengine - INFO - Iter(train) [119000/120000] base_lr: 2.0340e-06 lr: 2.0031e-06 eta: 0:24:46 time: 1.5101 data_time: 0.0380 memory: 20933 grad_norm: 0.4793 loss: 0.3510 detection_loss_cls: 0.0285 detection_loss_reg: 0.3225 2023/11/29 20:40:29 - mmengine - INFO - Saving checkpoint at 119000 iterations 2023/11/29 20:53:11 - mmengine - INFO - Iter(train) [119500/120000] base_lr: 2.0085e-06 lr: 2.0008e-06 eta: 0:12:24 time: 1.4992 data_time: 0.0243 memory: 20933 grad_norm: 0.4792 loss: 0.3482 detection_loss_cls: 0.0283 detection_loss_reg: 0.3199 2023/11/29 21:05:41 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_171718 2023/11/29 21:05:41 - mmengine - INFO - Iter(train) [120000/120000] base_lr: 2.0000e-06 lr: 2.0000e-06 eta: 0:00:00 time: 1.5040 data_time: 0.0243 memory: 20933 grad_norm: 0.4800 loss: 0.3500 detection_loss_cls: 0.0284 detection_loss_reg: 0.3216 2023/11/29 21:05:41 - mmengine - INFO - Saving checkpoint at 120000 iterations 2023/11/29 21:08:24 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:37 time: 0.3019 data_time: 0.0041 memory: 7026 2023/11/29 21:09:10 - mmengine - INFO - Evaluating bbox... 2023/11/29 21:10:06 - mmengine - INFO - bbox_mAP_copypaste: 0.449 0.624 0.490 0.271 0.498 0.596 2023/11/29 21:10:06 - mmengine - INFO - Iter(val) [625/625] coco/bbox_mAP: 0.4490 coco/bbox_mAP_50: 0.6240 coco/bbox_mAP_75: 0.4900 coco/bbox_mAP_s: 0.2710 coco/bbox_mAP_m: 0.4980 coco/bbox_mAP_l: 0.5960 data_time: 0.0042 time: 0.3024