det_base.log

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