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upload training log

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Files changed (11) hide show
  1. caption_base.log +396 -0
  2. det_base.log +550 -0
  3. grounding_base.log +397 -0
  4. insseg_base.log +0 -0
  5. multi_base.log +0 -0
  6. multi_huge.log +0 -0
  7. multi_large.log +0 -0
  8. semseg_base.log +0 -0
  9. universal_base.log +0 -0
  10. universal_huge.log +0 -0
  11. universal_large.log +0 -0
caption_base.log ADDED
@@ -0,0 +1,396 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ 2023/11/27 02:00:36 - mmengine - INFO - Iter(train) [ 500/120000] base_lr: 1.9999e-04 lr: 1.9999e-05 eta: 7:15:39 time: 0.2187 data_time: 0.0038 memory: 3339 grad_norm: 6.9981 loss: 3.9857 caption_loss_cls: 3.9857
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+ 2023/11/27 02:02:26 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 02:02:26 - mmengine - INFO - Iter(train) [ 1000/120000] base_lr: 1.9997e-04 lr: 1.9997e-05 eta: 7:15:09 time: 0.2194 data_time: 0.0037 memory: 3339 grad_norm: 6.1195 loss: 3.6496 caption_loss_cls: 3.6496
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+ 2023/11/27 02:04:16 - mmengine - INFO - Iter(train) [ 1500/120000] base_lr: 1.9992e-04 lr: 1.9993e-05 eta: 7:14:16 time: 0.2199 data_time: 0.0037 memory: 3339 grad_norm: 5.7113 loss: 3.4663 caption_loss_cls: 3.4663
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+ 2023/11/27 02:06:07 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 02:06:07 - mmengine - INFO - Iter(train) [ 2000/120000] base_lr: 1.9986e-04 lr: 1.9988e-05 eta: 7:13:08 time: 0.2202 data_time: 0.0037 memory: 3339 grad_norm: 5.4644 loss: 3.3562 caption_loss_cls: 3.3562
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+ 2023/11/27 02:07:58 - mmengine - INFO - Iter(train) [ 2500/120000] base_lr: 1.9979e-04 lr: 1.9981e-05 eta: 7:11:53 time: 0.2205 data_time: 0.0037 memory: 3339 grad_norm: 5.2801 loss: 3.2807 caption_loss_cls: 3.2807
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+ 2023/11/27 02:09:49 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 02:09:49 - mmengine - INFO - Iter(train) [ 3000/120000] base_lr: 1.9970e-04 lr: 1.9972e-05 eta: 7:10:49 time: 0.2209 data_time: 0.0037 memory: 3339 grad_norm: 5.1375 loss: 3.2091 caption_loss_cls: 3.2091
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+ 2023/11/27 02:11:41 - mmengine - INFO - Iter(train) [ 3500/120000] base_lr: 1.9958e-04 lr: 1.9962e-05 eta: 7:09:27 time: 0.2212 data_time: 0.0037 memory: 3339 grad_norm: 5.0229 loss: 3.1514 caption_loss_cls: 3.1514
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+ 2023/11/27 02:13:35 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 02:13:35 - mmengine - INFO - Iter(train) [ 4000/120000] base_lr: 1.9946e-04 lr: 1.9951e-05 eta: 7:09:20 time: 0.2221 data_time: 0.0037 memory: 3339 grad_norm: 4.9314 loss: 3.1037 caption_loss_cls: 3.1037
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+ 2023/11/27 02:15:26 - mmengine - INFO - Iter(train) [ 4500/120000] base_lr: 1.9931e-04 lr: 1.9938e-05 eta: 7:07:34 time: 0.2225 data_time: 0.0037 memory: 3339 grad_norm: 4.5839 loss: 2.9405 caption_loss_cls: 2.9405
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+ 2023/11/27 02:17:17 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 02:17:17 - mmengine - INFO - Iter(train) [ 5000/120000] base_lr: 1.9915e-04 lr: 1.9923e-05 eta: 7:05:48 time: 0.2229 data_time: 0.0038 memory: 3339 grad_norm: 4.4441 loss: 2.8712 caption_loss_cls: 2.8712
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+ 2023/11/27 02:18:45 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.6335 Bleu_2: 0.4506 Bleu_3: 0.3144 Bleu_4: 0.2174 METEOR: 0.2052 ROUGE_L: 0.4664 CIDEr: 0.6472 SPICE: 0.1367 data_time: 0.0308 time: 0.4323
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+ 2023/11/27 02:20:37 - mmengine - INFO - Iter(train) [ 5500/120000] base_lr: 1.9898e-04 lr: 1.9907e-05 eta: 7:28:30 time: 0.2407 data_time: 0.0214 memory: 3989 grad_norm: 4.3417 loss: 2.8178 caption_loss_cls: 2.8178
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+ 2023/11/27 02:22:28 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 02:22:28 - mmengine - INFO - Iter(train) [ 6000/120000] base_lr: 1.9878e-04 lr: 1.9889e-05 eta: 7:24:38 time: 0.2409 data_time: 0.0215 memory: 3339 grad_norm: 4.2541 loss: 2.7646 caption_loss_cls: 2.7646
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+ 2023/11/27 02:24:20 - mmengine - INFO - Iter(train) [ 6500/120000] base_lr: 1.9857e-04 lr: 1.9870e-05 eta: 7:21:04 time: 0.2411 data_time: 0.0215 memory: 3339 grad_norm: 4.1841 loss: 2.7224 caption_loss_cls: 2.7224
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+ 2023/11/27 02:26:11 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 02:26:11 - mmengine - INFO - Iter(train) [ 7000/120000] base_lr: 1.9834e-04 lr: 1.9849e-05 eta: 7:17:48 time: 0.2411 data_time: 0.0215 memory: 3339 grad_norm: 4.1232 loss: 2.6916 caption_loss_cls: 2.6916
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+ 2023/11/27 02:28:02 - mmengine - INFO - Iter(train) [ 7500/120000] base_lr: 1.9810e-04 lr: 1.9827e-05 eta: 7:14:36 time: 0.2411 data_time: 0.0215 memory: 3339 grad_norm: 4.0653 loss: 2.6652 caption_loss_cls: 2.6652
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+ 2023/11/27 02:29:54 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 02:29:54 - mmengine - INFO - Iter(train) [ 8000/120000] base_lr: 1.9784e-04 lr: 1.9803e-05 eta: 7:11:36 time: 0.2404 data_time: 0.0215 memory: 3339 grad_norm: 4.0125 loss: 2.6425 caption_loss_cls: 2.6425
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+ 2023/11/27 02:31:46 - mmengine - INFO - Iter(train) [ 8500/120000] base_lr: 1.9756e-04 lr: 1.9778e-05 eta: 7:08:50 time: 0.2405 data_time: 0.0215 memory: 3339 grad_norm: 3.9642 loss: 2.6240 caption_loss_cls: 2.6240
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+ 2023/11/27 02:33:37 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 02:33:37 - mmengine - INFO - Iter(train) [ 9000/120000] base_lr: 1.9727e-04 lr: 1.9751e-05 eta: 7:06:09 time: 0.2406 data_time: 0.0215 memory: 3339 grad_norm: 3.9258 loss: 2.5933 caption_loss_cls: 2.5933
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+ 2023/11/27 02:35:29 - mmengine - INFO - Iter(train) [ 9500/120000] base_lr: 1.9695e-04 lr: 1.9723e-05 eta: 7:03:36 time: 0.2231 data_time: 0.0038 memory: 3339 grad_norm: 3.8921 loss: 2.5762 caption_loss_cls: 2.5762
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+ 2023/11/27 02:37:21 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 02:37:21 - mmengine - INFO - Iter(train) [ 10000/120000] base_lr: 1.9663e-04 lr: 1.9693e-05 eta: 7:01:05 time: 0.2232 data_time: 0.0038 memory: 3339 grad_norm: 3.8631 loss: 2.5728 caption_loss_cls: 2.5728
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+ 2023/11/27 02:37:21 - mmengine - INFO - Saving checkpoint at 10000 iterations
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+ 2023/11/27 02:38:25 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.6611 Bleu_2: 0.4769 Bleu_3: 0.3364 Bleu_4: 0.2362 METEOR: 0.2203 ROUGE_L: 0.4922 CIDEr: 0.7361 SPICE: 0.1478 data_time: 0.0105 time: 0.4085
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+ 2023/11/27 02:40:17 - mmengine - INFO - Iter(train) [ 10500/120000] base_lr: 1.9628e-04 lr: 1.9662e-05 eta: 7:05:24 time: 0.2330 data_time: 0.0135 memory: 3989 grad_norm: 3.8317 loss: 2.5552 caption_loss_cls: 2.5552
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+ 2023/11/27 02:42:09 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 02:42:09 - mmengine - INFO - Iter(train) [ 11000/120000] base_lr: 1.9592e-04 lr: 1.9629e-05 eta: 7:02:40 time: 0.2330 data_time: 0.0135 memory: 3339 grad_norm: 3.8065 loss: 2.5370 caption_loss_cls: 2.5370
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+ 2023/11/27 02:44:00 - mmengine - INFO - Iter(train) [ 11500/120000] base_lr: 1.9555e-04 lr: 1.9595e-05 eta: 7:00:01 time: 0.2332 data_time: 0.0135 memory: 3339 grad_norm: 3.7884 loss: 2.5177 caption_loss_cls: 2.5177
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+ 2023/11/27 02:45:52 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 02:45:52 - mmengine - INFO - Iter(train) [ 12000/120000] base_lr: 1.9516e-04 lr: 1.9560e-05 eta: 6:57:24 time: 0.2332 data_time: 0.0135 memory: 3339 grad_norm: 3.7712 loss: 2.5023 caption_loss_cls: 2.5023
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+ 2023/11/27 02:47:44 - mmengine - INFO - Iter(train) [ 12500/120000] base_lr: 1.9475e-04 lr: 1.9522e-05 eta: 6:54:54 time: 0.2333 data_time: 0.0135 memory: 3339 grad_norm: 3.7573 loss: 2.4950 caption_loss_cls: 2.4950
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+ 2023/11/27 02:49:36 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 02:49:36 - mmengine - INFO - Iter(train) [ 13000/120000] base_lr: 1.9432e-04 lr: 1.9484e-05 eta: 6:52:26 time: 0.2333 data_time: 0.0135 memory: 3339 grad_norm: 3.7467 loss: 2.4871 caption_loss_cls: 2.4871
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+ 2023/11/27 02:51:28 - mmengine - INFO - Iter(train) [ 13500/120000] base_lr: 1.9388e-04 lr: 1.9444e-05 eta: 6:50:00 time: 0.2333 data_time: 0.0135 memory: 3339 grad_norm: 3.7416 loss: 2.4822 caption_loss_cls: 2.4822
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+ 2023/11/27 02:53:20 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 02:53:20 - mmengine - INFO - Iter(train) [ 14000/120000] base_lr: 1.9343e-04 lr: 1.9402e-05 eta: 6:47:36 time: 0.2333 data_time: 0.0135 memory: 3339 grad_norm: 3.7412 loss: 2.4609 caption_loss_cls: 2.4609
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+ 2023/11/27 02:55:12 - mmengine - INFO - Iter(train) [ 14500/120000] base_lr: 1.9295e-04 lr: 1.9359e-05 eta: 6:45:17 time: 0.2237 data_time: 0.0038 memory: 3339 grad_norm: 3.7523 loss: 2.4577 caption_loss_cls: 2.4577
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+ 2023/11/27 02:57:04 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 02:57:04 - mmengine - INFO - Iter(train) [ 15000/120000] base_lr: 1.9247e-04 lr: 1.9315e-05 eta: 6:43:00 time: 0.2238 data_time: 0.0038 memory: 3339 grad_norm: 3.7903 loss: 2.4613 caption_loss_cls: 2.4613
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+ 2023/11/27 02:58:32 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.6829 Bleu_2: 0.4989 Bleu_3: 0.3545 Bleu_4: 0.2492 METEOR: 0.2303 ROUGE_L: 0.5000 CIDEr: 0.7849 SPICE: 0.1596 data_time: 0.0101 time: 0.4099
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+ 2023/11/27 03:00:24 - mmengine - INFO - Iter(train) [ 15500/120000] base_lr: 1.9196e-04 lr: 1.9269e-05 eta: 6:48:47 time: 0.2417 data_time: 0.0218 memory: 3989 grad_norm: 3.8577 loss: 2.4639 caption_loss_cls: 2.4639
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+ 2023/11/27 03:02:16 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 03:02:16 - mmengine - INFO - Iter(train) [ 16000/120000] base_lr: 1.9144e-04 lr: 1.9222e-05 eta: 6:46:14 time: 0.2418 data_time: 0.0218 memory: 3339 grad_norm: 3.8769 loss: 2.4592 caption_loss_cls: 2.4592
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+ 2023/11/27 03:04:08 - mmengine - INFO - Iter(train) [ 16500/120000] base_lr: 1.9091e-04 lr: 1.9173e-05 eta: 6:43:44 time: 0.2418 data_time: 0.0218 memory: 3339 grad_norm: 3.9092 loss: 2.4566 caption_loss_cls: 2.4566
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+ 2023/11/27 03:06:00 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 03:06:00 - mmengine - INFO - Iter(train) [ 17000/120000] base_lr: 1.9036e-04 lr: 1.9123e-05 eta: 6:41:18 time: 0.2419 data_time: 0.0218 memory: 3339 grad_norm: 3.9293 loss: 2.4472 caption_loss_cls: 2.4472
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+ 2023/11/27 03:07:52 - mmengine - INFO - Iter(train) [ 17500/120000] base_lr: 1.8979e-04 lr: 1.9072e-05 eta: 6:38:52 time: 0.2419 data_time: 0.0218 memory: 3339 grad_norm: 3.9727 loss: 2.4341 caption_loss_cls: 2.4341
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+ 2023/11/27 03:09:44 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 03:09:44 - mmengine - INFO - Iter(train) [ 18000/120000] base_lr: 1.8921e-04 lr: 1.9019e-05 eta: 6:36:27 time: 0.2419 data_time: 0.0218 memory: 3339 grad_norm: 4.0423 loss: 2.4318 caption_loss_cls: 2.4318
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+ 2023/11/27 03:11:36 - mmengine - INFO - Iter(train) [ 18500/120000] base_lr: 1.8861e-04 lr: 1.8965e-05 eta: 6:34:05 time: 0.2419 data_time: 0.0218 memory: 3339 grad_norm: 4.1200 loss: 2.4169 caption_loss_cls: 2.4169
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+ 2023/11/27 03:13:28 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 03:13:28 - mmengine - INFO - Iter(train) [ 19000/120000] base_lr: 1.8800e-04 lr: 1.8909e-05 eta: 6:31:44 time: 0.2418 data_time: 0.0218 memory: 3339 grad_norm: 4.1695 loss: 2.4032 caption_loss_cls: 2.4032
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+ 2023/11/27 03:15:20 - mmengine - INFO - Iter(train) [ 19500/120000] base_lr: 1.8738e-04 lr: 1.8853e-05 eta: 6:29:26 time: 0.2239 data_time: 0.0038 memory: 3339 grad_norm: 4.2211 loss: 2.3957 caption_loss_cls: 2.3957
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+ 2023/11/27 03:17:12 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 03:17:12 - mmengine - INFO - Iter(train) [ 20000/120000] base_lr: 1.8674e-04 lr: 1.8794e-05 eta: 6:27:07 time: 0.2239 data_time: 0.0038 memory: 3339 grad_norm: 4.3444 loss: 2.3881 caption_loss_cls: 2.3881
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+ 2023/11/27 03:17:12 - mmengine - INFO - Saving checkpoint at 20000 iterations
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+ 2023/11/27 03:18:41 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.6906 Bleu_2: 0.5117 Bleu_3: 0.3717 Bleu_4: 0.2688 METEOR: 0.2356 ROUGE_L: 0.5100 CIDEr: 0.8366 SPICE: 0.1617 data_time: 0.0118 time: 0.4102
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+ 2023/11/27 03:20:33 - mmengine - INFO - Iter(train) [ 20500/120000] base_lr: 1.8608e-04 lr: 1.8735e-05 eta: 6:30:02 time: 0.2399 data_time: 0.0198 memory: 3989 grad_norm: 4.4417 loss: 2.3784 caption_loss_cls: 2.3784
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+ 2023/11/27 03:22:25 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 03:22:25 - mmengine - INFO - Iter(train) [ 21000/120000] base_lr: 1.8541e-04 lr: 1.8674e-05 eta: 6:27:37 time: 0.2399 data_time: 0.0198 memory: 3339 grad_norm: 4.5265 loss: 2.3771 caption_loss_cls: 2.3771
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+ 2023/11/27 03:24:17 - mmengine - INFO - Iter(train) [ 21500/120000] base_lr: 1.8473e-04 lr: 1.8612e-05 eta: 6:25:14 time: 0.2398 data_time: 0.0198 memory: 3339 grad_norm: 4.5658 loss: 2.3735 caption_loss_cls: 2.3735
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+ 2023/11/27 03:26:08 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 03:26:08 - mmengine - INFO - Iter(train) [ 22000/120000] base_lr: 1.8403e-04 lr: 1.8548e-05 eta: 6:22:52 time: 0.2398 data_time: 0.0198 memory: 3339 grad_norm: 4.5640 loss: 2.3724 caption_loss_cls: 2.3724
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+ 2023/11/27 03:28:00 - mmengine - INFO - Iter(train) [ 22500/120000] base_lr: 1.8332e-04 lr: 1.8483e-05 eta: 6:20:32 time: 0.2398 data_time: 0.0198 memory: 3339 grad_norm: 4.6344 loss: 2.3737 caption_loss_cls: 2.3737
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+ 2023/11/27 03:29:52 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 03:29:52 - mmengine - INFO - Iter(train) [ 23000/120000] base_lr: 1.8259e-04 lr: 1.8417e-05 eta: 6:18:13 time: 0.2398 data_time: 0.0198 memory: 3339 grad_norm: 4.6265 loss: 2.3697 caption_loss_cls: 2.3697
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+ 2023/11/27 03:31:44 - mmengine - INFO - Iter(train) [ 23500/120000] base_lr: 1.8185e-04 lr: 1.8350e-05 eta: 6:15:55 time: 0.2398 data_time: 0.0198 memory: 3339 grad_norm: 4.6846 loss: 2.3682 caption_loss_cls: 2.3682
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+ 2023/11/27 03:33:36 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 03:33:36 - mmengine - INFO - Iter(train) [ 24000/120000] base_lr: 1.8109e-04 lr: 1.8281e-05 eta: 6:13:39 time: 0.2398 data_time: 0.0198 memory: 3339 grad_norm: 4.6730 loss: 2.3571 caption_loss_cls: 2.3571
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+ 2023/11/27 03:35:29 - mmengine - INFO - Iter(train) [ 24500/120000] base_lr: 1.8033e-04 lr: 1.8211e-05 eta: 6:11:25 time: 0.2239 data_time: 0.0038 memory: 3339 grad_norm: 4.7230 loss: 2.3433 caption_loss_cls: 2.3433
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+ 2023/11/27 03:37:20 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 03:37:20 - mmengine - INFO - Iter(train) [ 25000/120000] base_lr: 1.7954e-04 lr: 1.8140e-05 eta: 6:09:10 time: 0.2239 data_time: 0.0039 memory: 3339 grad_norm: 4.7546 loss: 2.3267 caption_loss_cls: 2.3267
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+ 2023/11/27 03:38:13 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.6911 Bleu_2: 0.5053 Bleu_3: 0.3648 Bleu_4: 0.2645 METEOR: 0.2338 ROUGE_L: 0.5048 CIDEr: 0.8319 SPICE: 0.1587 data_time: 0.0104 time: 0.4083
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+ 2023/11/27 03:40:05 - mmengine - INFO - Iter(train) [ 25500/120000] base_lr: 1.7875e-04 lr: 1.8068e-05 eta: 6:09:10 time: 0.2330 data_time: 0.0130 memory: 3989 grad_norm: 4.7975 loss: 2.3152 caption_loss_cls: 2.3152
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+ 2023/11/27 03:41:57 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 03:41:57 - mmengine - INFO - Iter(train) [ 26000/120000] base_lr: 1.7794e-04 lr: 1.7994e-05 eta: 6:06:53 time: 0.2329 data_time: 0.0130 memory: 3339 grad_norm: 4.7971 loss: 2.3024 caption_loss_cls: 2.3024
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+ 2023/11/27 03:43:48 - mmengine - INFO - Iter(train) [ 26500/120000] base_lr: 1.7712e-04 lr: 1.7920e-05 eta: 6:04:37 time: 0.2329 data_time: 0.0130 memory: 3339 grad_norm: 4.7752 loss: 2.2860 caption_loss_cls: 2.2860
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+ 2023/11/27 03:45:40 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 03:45:40 - mmengine - INFO - Iter(train) [ 27000/120000] base_lr: 1.7628e-04 lr: 1.7844e-05 eta: 6:02:22 time: 0.2329 data_time: 0.0130 memory: 3339 grad_norm: 4.8242 loss: 2.2789 caption_loss_cls: 2.2789
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+ 2023/11/27 04:37:41 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.6963 Bleu_2: 0.5159 Bleu_3: 0.3778 Bleu_4: 0.2770 METEOR: 0.2461 ROUGE_L: 0.5178 CIDEr: 0.8895 SPICE: 0.1726 data_time: 0.0089 time: 0.4062
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+ 2023/11/27 04:57:36 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.7157 Bleu_2: 0.5357 Bleu_3: 0.3925 Bleu_4: 0.2861 METEOR: 0.2468 ROUGE_L: 0.5255 CIDEr: 0.9158 SPICE: 0.1723 data_time: 0.0117 time: 0.4145
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+ 2023/11/27 05:17:48 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.7146 Bleu_2: 0.5376 Bleu_3: 0.3982 Bleu_4: 0.2946 METEOR: 0.2507 ROUGE_L: 0.5276 CIDEr: 0.9381 SPICE: 0.1770 data_time: 0.0107 time: 0.4123
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+ 2023/11/27 07:17:08 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.7295 Bleu_2: 0.5572 Bleu_3: 0.4196 Bleu_4: 0.3157 METEOR: 0.2638 ROUGE_L: 0.5437 CIDEr: 1.0199 SPICE: 0.1877 data_time: 0.0146 time: 0.4121
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+ 2023/11/27 07:55:45 - mmengine - INFO - Iter(train) [ 90000/120000] base_lr: 3.0998e-05 lr: 4.6362e-06 eta: 1:57:00 time: 0.2227 data_time: 0.0042 memory: 3339 grad_norm: 4.3196 loss: 1.8004 caption_loss_cls: 1.8004
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+ 2023/11/27 07:56:47 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.7339 Bleu_2: 0.5639 Bleu_3: 0.4260 Bleu_4: 0.3205 METEOR: 0.2654 ROUGE_L: 0.5486 CIDEr: 1.0501 SPICE: 0.1916 data_time: 0.0150 time: 0.4090
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+ 2023/11/27 08:15:31 - mmengine - INFO - Iter(train) [ 95000/120000] base_lr: 2.2460e-05 lr: 3.8600e-06 eta: 1:37:27 time: 0.2248 data_time: 0.0042 memory: 3339 grad_norm: 4.4075 loss: 1.7871 caption_loss_cls: 1.7871
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+ 2023/11/27 08:16:59 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.7316 Bleu_2: 0.5628 Bleu_3: 0.4262 Bleu_4: 0.3213 METEOR: 0.2690 ROUGE_L: 0.5497 CIDEr: 1.0486 SPICE: 0.1954 data_time: 0.0152 time: 0.4117
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+ 2023/11/27 08:31:51 - mmengine - INFO - Iter(train) [ 99000/120000] base_lr: 1.6590e-05 lr: 3.3264e-06 eta: 1:21:57 time: 0.2406 data_time: 0.0220 memory: 3339 grad_norm: 4.2621 loss: 1.6719 caption_loss_cls: 1.6719
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+ 2023/11/27 08:33:42 - mmengine - INFO - Iter(train) [ 99500/120000] base_lr: 1.5920e-05 lr: 3.2655e-06 eta: 1:19:59 time: 0.2230 data_time: 0.0042 memory: 3339 grad_norm: 4.2709 loss: 1.6738 caption_loss_cls: 1.6738
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+ 2023/11/27 08:35:34 - mmengine - INFO - Iter(train) [100000/120000] base_lr: 1.5265e-05 lr: 3.2059e-06 eta: 1:18:01 time: 0.2230 data_time: 0.0042 memory: 3339 grad_norm: 4.2665 loss: 1.6662 caption_loss_cls: 1.6662
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+ 2023/11/27 08:35:34 - mmengine - INFO - Saving checkpoint at 100000 iterations
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+ 2023/11/27 08:36:47 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.7309 Bleu_2: 0.5630 Bleu_3: 0.4272 Bleu_4: 0.3241 METEOR: 0.2690 ROUGE_L: 0.5502 CIDEr: 1.0589 SPICE: 0.1958 data_time: 0.0168 time: 0.4125
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+ 2023/11/27 08:38:38 - mmengine - INFO - Iter(train) [100500/120000] base_lr: 1.4624e-05 lr: 3.1477e-06 eta: 1:16:12 time: 0.2352 data_time: 0.0163 memory: 3989 grad_norm: 4.2659 loss: 1.6671 caption_loss_cls: 1.6671
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+ 2023/11/27 08:40:29 - mmengine - INFO - Iter(train) [101000/120000] base_lr: 1.3998e-05 lr: 3.0908e-06 eta: 1:14:13 time: 0.2351 data_time: 0.0163 memory: 3339 grad_norm: 4.2791 loss: 1.6630 caption_loss_cls: 1.6630
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+ 2023/11/27 08:56:15 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.7356 Bleu_2: 0.5671 Bleu_3: 0.4303 Bleu_4: 0.3256 METEOR: 0.2701 ROUGE_L: 0.5519 CIDEr: 1.0586 SPICE: 0.1947 data_time: 0.0167 time: 0.4154
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+ 2023/11/27 08:58:06 - mmengine - INFO - Iter(train) [105500/120000] base_lr: 9.0488e-06 lr: 2.6408e-06 eta: 0:56:36 time: 0.2319 data_time: 0.0137 memory: 3989 grad_norm: 4.3015 loss: 1.6647 caption_loss_cls: 1.6647
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+ 2023/11/27 09:05:31 - mmengine - INFO - Iter(train) [107500/120000] base_lr: 7.2548e-06 lr: 2.4777e-06 eta: 0:48:45 time: 0.2319 data_time: 0.0138 memory: 3339 grad_norm: 4.3165 loss: 1.6766 caption_loss_cls: 1.6766
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+ 2023/11/27 09:12:56 - mmengine - INFO - Iter(train) [109500/120000] base_lr: 5.7176e-06 lr: 2.3380e-06 eta: 0:40:55 time: 0.2224 data_time: 0.0044 memory: 3339 grad_norm: 4.3089 loss: 1.6772 caption_loss_cls: 1.6772
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+ 2023/11/27 09:14:47 - mmengine - INFO - Iter(train) [110000/120000] base_lr: 5.3740e-06 lr: 2.3067e-06 eta: 0:38:57 time: 0.2224 data_time: 0.0044 memory: 3339 grad_norm: 4.3076 loss: 1.6709 caption_loss_cls: 1.6709
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+ 2023/11/27 09:15:48 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.7366 Bleu_2: 0.5686 Bleu_3: 0.4327 Bleu_4: 0.3290 METEOR: 0.2707 ROUGE_L: 0.5533 CIDEr: 1.0716 SPICE: 0.1951 data_time: 0.0148 time: 0.4106
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+ 2023/11/27 09:30:35 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 09:30:35 - mmengine - INFO - Iter(train) [114000/120000] base_lr: 3.2193e-06 lr: 2.1108e-06 eta: 0:23:21 time: 0.2305 data_time: 0.0133 memory: 3339 grad_norm: 4.2965 loss: 1.6591 caption_loss_cls: 1.6591
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+ 2023/11/27 09:32:26 - mmengine - INFO - Iter(train) [114500/120000] base_lr: 3.0249e-06 lr: 2.0932e-06 eta: 0:21:24 time: 0.2218 data_time: 0.0045 memory: 3339 grad_norm: 4.2988 loss: 1.6620 caption_loss_cls: 1.6620
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+ 2023/11/27 09:34:17 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 09:34:17 - mmengine - INFO - Iter(train) [115000/120000] base_lr: 2.8473e-06 lr: 2.0770e-06 eta: 0:19:27 time: 0.2219 data_time: 0.0045 memory: 3339 grad_norm: 4.3038 loss: 1.6585 caption_loss_cls: 1.6585
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+ 2023/11/27 09:35:11 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.7389 Bleu_2: 0.5709 Bleu_3: 0.4343 Bleu_4: 0.3297 METEOR: 0.2726 ROUGE_L: 0.5554 CIDEr: 1.0754 SPICE: 0.1972 data_time: 0.0144 time: 0.4135
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+ 2023/11/27 09:37:02 - mmengine - INFO - Iter(train) [115500/120000] base_lr: 2.6865e-06 lr: 2.0624e-06 eta: 0:17:32 time: 0.2311 data_time: 0.0137 memory: 3989 grad_norm: 4.3080 loss: 1.6611 caption_loss_cls: 1.6611
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+ 2023/11/27 09:38:52 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 09:38:52 - mmengine - INFO - Iter(train) [116000/120000] base_lr: 2.5426e-06 lr: 2.0493e-06 eta: 0:15:35 time: 0.2311 data_time: 0.0137 memory: 3339 grad_norm: 4.3091 loss: 1.6606 caption_loss_cls: 1.6606
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+ 2023/11/27 09:40:43 - mmengine - INFO - Iter(train) [116500/120000] base_lr: 2.4155e-06 lr: 2.0378e-06 eta: 0:13:38 time: 0.2308 data_time: 0.0136 memory: 3339 grad_norm: 4.3097 loss: 1.6667 caption_loss_cls: 1.6667
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+ 2023/11/27 09:42:34 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 09:42:34 - mmengine - INFO - Iter(train) [117000/120000] base_lr: 2.3054e-06 lr: 2.0278e-06 eta: 0:11:40 time: 0.2308 data_time: 0.0136 memory: 3339 grad_norm: 4.3083 loss: 1.6624 caption_loss_cls: 1.6624
386
+ 2023/11/27 09:44:25 - mmengine - INFO - Iter(train) [117500/120000] base_lr: 2.2121e-06 lr: 2.0193e-06 eta: 0:09:44 time: 0.2307 data_time: 0.0136 memory: 3339 grad_norm: 4.3110 loss: 1.6638 caption_loss_cls: 1.6638
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+ 2023/11/27 09:46:16 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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+ 2023/11/27 09:46:16 - mmengine - INFO - Iter(train) [118000/120000] base_lr: 2.1358e-06 lr: 2.0123e-06 eta: 0:07:47 time: 0.2308 data_time: 0.0136 memory: 3339 grad_norm: 4.3106 loss: 1.6584 caption_loss_cls: 1.6584
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+ 2023/11/27 09:48:07 - mmengine - INFO - Iter(train) [118500/120000] base_lr: 2.0764e-06 lr: 2.0069e-06 eta: 0:05:50 time: 0.2308 data_time: 0.0136 memory: 3339 grad_norm: 4.3087 loss: 1.6500 caption_loss_cls: 1.6500
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+ 2023/11/27 09:49:58 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
391
+ 2023/11/27 09:49:58 - mmengine - INFO - Iter(train) [119000/120000] base_lr: 2.0340e-06 lr: 2.0031e-06 eta: 0:03:53 time: 0.2309 data_time: 0.0136 memory: 3339 grad_norm: 4.2978 loss: 1.6440 caption_loss_cls: 1.6440
392
+ 2023/11/27 09:51:50 - mmengine - INFO - Iter(train) [119500/120000] base_lr: 2.0085e-06 lr: 2.0008e-06 eta: 0:01:56 time: 0.2218 data_time: 0.0043 memory: 3339 grad_norm: 4.2927 loss: 1.6354 caption_loss_cls: 1.6354
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+ 2023/11/27 09:53:41 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
394
+ 2023/11/27 09:53:41 - mmengine - INFO - Iter(train) [120000/120000] base_lr: 2.0000e-06 lr: 2.0000e-06 eta: 0:00:00 time: 0.2219 data_time: 0.0043 memory: 3339 grad_norm: 4.2868 loss: 1.6333 caption_loss_cls: 1.6333
395
+ 2023/11/27 09:53:41 - mmengine - INFO - Saving checkpoint at 120000 iterations
396
+ 2023/11/27 09:55:11 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.7366 Bleu_2: 0.5662 Bleu_3: 0.4296 Bleu_4: 0.3260 METEOR: 0.2711 ROUGE_L: 0.5538 CIDEr: 1.0674 SPICE: 0.1955 data_time: 0.0161 time: 0.4122
det_base.log ADDED
@@ -0,0 +1,550 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 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
2
+ 2023/11/27 07:50:37 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433
3
+ 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
4
+ 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
5
+ 2023/11/27 08:15:18 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433
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+ 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
7
+ 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
8
+ 2023/11/27 08:39:51 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433
9
+ 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
10
+ 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
11
+ 2023/11/27 09:04:30 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433
12
+ 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
13
+ 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
14
+ 2023/11/27 09:29:18 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433
15
+ 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
16
+ 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
17
+ 2023/11/27 09:32:39 - mmengine - INFO - Evaluating bbox...
18
+ 2023/11/27 09:33:34 - mmengine - INFO - bbox_mAP_copypaste: 0.209 0.356 0.220 0.121 0.263 0.268
19
+ 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
20
+ 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
21
+ 2023/11/27 09:58:34 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433
22
+ 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
23
+ 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
24
+ 2023/11/27 10:23:34 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433
25
+ 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
26
+ 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
27
+ 2023/11/27 10:48:41 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433
28
+ 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
29
+ 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
30
+ 2023/11/27 11:13:50 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433
31
+ 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
32
+ 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
33
+ 2023/11/27 11:38:54 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433
34
+ 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
35
+ 2023/11/27 11:38:54 - mmengine - INFO - Saving checkpoint at 10000 iterations
36
+ 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
37
+ 2023/11/27 11:42:20 - mmengine - INFO - Evaluating bbox...
38
+ 2023/11/27 11:43:13 - mmengine - INFO - bbox_mAP_copypaste: 0.274 0.432 0.297 0.160 0.328 0.341
39
+ 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
40
+ 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
41
+ 2023/11/27 12:08:10 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433
42
+ 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
43
+ 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
44
+ 2023/11/27 12:33:02 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433
45
+ 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
46
+ 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
47
+ 2023/11/27 12:57:49 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433
48
+ 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
49
+ 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
50
+ 2023/11/27 13:22:43 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433
51
+ 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
52
+ 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
53
+ 2023/11/27 13:47:41 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433
54
+ 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
55
+ 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
56
+ 2023/11/27 13:51:00 - mmengine - INFO - Evaluating bbox...
57
+ 2023/11/27 13:51:54 - mmengine - INFO - bbox_mAP_copypaste: 0.303 0.467 0.326 0.182 0.356 0.394
58
+ 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
59
+ 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
60
+ 2023/11/27 14:16:50 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433
61
+ 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
62
+ 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
63
+ 2023/11/27 14:41:27 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433
64
+ 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
65
+ 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
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+ 2023/11/27 15:06:11 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433
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+ 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
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+ 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
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+ 2023/11/27 15:31:01 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433
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+ 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
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+ 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
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+ 2023/11/27 15:56:07 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_072433
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+ 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
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+ 2023/11/27 15:56:07 - mmengine - INFO - Saving checkpoint at 20000 iterations
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+ 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
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+ 2023/11/27 15:59:34 - mmengine - INFO - Evaluating bbox...
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+ 2023/11/27 16:00:28 - mmengine - INFO - bbox_mAP_copypaste: 0.334 0.502 0.364 0.196 0.388 0.440
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+ 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
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+ 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
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+ 2023/11/27 21:13:42 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_204808
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+ 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
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+ 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
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+ 2023/11/27 21:37:45 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_204808
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+ 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
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+ 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
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+ 2023/11/27 22:02:09 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_204808
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+ 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
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+ 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
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+ 2023/11/27 22:26:47 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_204808
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+ 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
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+ 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
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+ 2023/11/27 22:51:26 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_204808
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+ 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
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+ 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
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+ 2023/11/27 22:54:44 - mmengine - INFO - Evaluating bbox...
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+ 2023/11/27 22:55:40 - mmengine - INFO - bbox_mAP_copypaste: 0.362 0.534 0.397 0.215 0.413 0.476
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+ 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
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+ 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
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+ 2023/11/27 23:20:41 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_204808
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+ 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
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+ 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
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+ 2023/11/27 23:45:41 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_204808
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+ 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
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+ 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
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+ 2023/11/28 00:10:52 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_204808
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+ 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
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+ 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
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+ 2023/11/28 00:35:49 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_204808
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+ 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
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+ 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
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+ 2023/11/28 01:00:19 - mmengine - INFO - Exp name: univision_single_detection_base_20231127_204808
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+ 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
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+ 2023/11/28 01:00:19 - mmengine - INFO - Saving checkpoint at 30000 iterations
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+ 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
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+ 2023/11/28 01:03:49 - mmengine - INFO - Evaluating bbox...
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+ 2023/11/28 01:04:45 - mmengine - INFO - bbox_mAP_copypaste: 0.363 0.533 0.395 0.215 0.415 0.474
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+ 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
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+ 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
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+ 2023/11/28 03:19:55 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431
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+ 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
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+ 2023/11/28 03:19:55 - mmengine - INFO - Saving checkpoint at 31000 iterations
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+ 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
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+ 2023/11/28 03:44:40 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431
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+ 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
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+ 2023/11/28 03:44:40 - mmengine - INFO - Saving checkpoint at 32000 iterations
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+ 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
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+ 2023/11/28 04:09:34 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431
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+ 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
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+ 2023/11/28 04:09:34 - mmengine - INFO - Saving checkpoint at 33000 iterations
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+ 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
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+ 2023/11/28 04:34:48 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431
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+ 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
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+ 2023/11/28 04:34:48 - mmengine - INFO - Saving checkpoint at 34000 iterations
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+ 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
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+ 2023/11/28 04:59:47 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431
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+ 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
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+ 2023/11/28 04:59:47 - mmengine - INFO - Saving checkpoint at 35000 iterations
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+ 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
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+ 2023/11/28 05:03:15 - mmengine - INFO - Evaluating bbox...
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+ 2023/11/28 05:04:10 - mmengine - INFO - bbox_mAP_copypaste: 0.385 0.557 0.420 0.232 0.436 0.499
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+ 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
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+ 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
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+ 2023/11/28 05:29:20 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431
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+ 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
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+ 2023/11/28 05:29:20 - mmengine - INFO - Saving checkpoint at 36000 iterations
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+ 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
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+ 2023/11/28 05:54:15 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431
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+ 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
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+ 2023/11/28 05:54:15 - mmengine - INFO - Saving checkpoint at 37000 iterations
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+ 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
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+ 2023/11/28 06:19:37 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431
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+ 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
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+ 2023/11/28 06:19:37 - mmengine - INFO - Saving checkpoint at 38000 iterations
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+ 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
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+ 2023/11/28 06:45:05 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431
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+ 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
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+ 2023/11/28 06:45:05 - mmengine - INFO - Saving checkpoint at 39000 iterations
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+ 2023/11/28 06:47:30 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431
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+ 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
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+ 2023/11/28 07:10:19 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431
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+ 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
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+ 2023/11/28 07:10:19 - mmengine - INFO - Saving checkpoint at 40000 iterations
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+ 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
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+ 2023/11/28 07:13:52 - mmengine - INFO - Evaluating bbox...
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+ 2023/11/28 07:14:48 - mmengine - INFO - bbox_mAP_copypaste: 0.393 0.566 0.428 0.236 0.445 0.511
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+ 2023/11/28 09:22:40 - mmengine - INFO - Evaluating bbox...
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+ 2023/11/28 09:23:36 - mmengine - INFO - bbox_mAP_copypaste: 0.403 0.582 0.438 0.249 0.451 0.530
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+ 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
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+ 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
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+ 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
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+ 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
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+ 2023/11/28 11:04:16 - mmengine - INFO - Saving checkpoint at 49000 iterations
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+ 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
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+ 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
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+ 2023/11/28 11:33:09 - mmengine - INFO - Evaluating bbox...
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+ 2023/11/28 11:34:06 - mmengine - INFO - bbox_mAP_copypaste: 0.407 0.584 0.443 0.249 0.459 0.532
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+ 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
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+ 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
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+ 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
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+ 2023/11/28 11:59:14 - mmengine - INFO - Saving checkpoint at 51000 iterations
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+ 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
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+ 2023/11/28 12:24:28 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431
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+ 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
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+ 2023/11/28 12:24:28 - mmengine - INFO - Saving checkpoint at 52000 iterations
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+ 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
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+ 2023/11/28 12:49:50 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ 2023/11/28 13:40:06 - mmengine - INFO - Saving checkpoint at 55000 iterations
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+ 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
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+ 2023/11/28 13:43:35 - mmengine - INFO - Evaluating bbox...
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+ 2023/11/28 13:44:30 - mmengine - INFO - bbox_mAP_copypaste: 0.416 0.591 0.452 0.251 0.466 0.548
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+ 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
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+ 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
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+ 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
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+ 2023/11/28 14:34:48 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_025431
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+ 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
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+ 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
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+ 2023/11/28 15:56:25 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008
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+ 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
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+ 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
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+ 2023/11/28 16:21:37 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008
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+ 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
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+ 2023/11/28 16:21:37 - mmengine - INFO - Saving checkpoint at 59000 iterations
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+ 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
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+ 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
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+ 2023/11/28 16:47:06 - mmengine - INFO - Saving checkpoint at 60000 iterations
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+ 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
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+ 2023/11/28 16:50:34 - mmengine - INFO - Evaluating bbox...
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+ 2023/11/28 16:51:30 - mmengine - INFO - bbox_mAP_copypaste: 0.415 0.589 0.454 0.257 0.462 0.557
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+ 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
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+ 2023/11/28 17:16:59 - mmengine - INFO - Exp name: univision_single_detection_base_20231128_153008
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+ 2023/11/28 17:16:59 - mmengine - INFO - Saving checkpoint at 61000 iterations
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+ 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
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+ 2023/11/28 19:03:49 - mmengine - INFO - Evaluating bbox...
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+ 2023/11/28 19:04:46 - mmengine - INFO - bbox_mAP_copypaste: 0.431 0.604 0.466 0.267 0.482 0.561
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+ 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
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+ 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
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+ 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
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+ 2023/11/28 21:16:26 - mmengine - INFO - Evaluating bbox...
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+ 2023/11/28 21:17:23 - mmengine - INFO - bbox_mAP_copypaste: 0.430 0.606 0.467 0.259 0.482 0.567
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+ 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
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+ 2023/11/28 22:34:45 - mmengine - INFO - Saving checkpoint at 73000 iterations
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+ 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
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+ 2023/11/28 23:00:42 - mmengine - INFO - Saving checkpoint at 74000 iterations
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+ 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
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+ 2023/11/28 23:26:19 - mmengine - INFO - Saving checkpoint at 75000 iterations
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+ 2023/11/28 23:29:49 - mmengine - INFO - Evaluating bbox...
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+ 2023/11/28 23:30:45 - mmengine - INFO - bbox_mAP_copypaste: 0.434 0.611 0.472 0.264 0.484 0.576
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+ 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
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+ 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
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+ 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
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+ 2023/11/28 23:56:05 - mmengine - INFO - Saving checkpoint at 76000 iterations
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+ 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
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+ 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
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+ 2023/11/29 00:21:38 - mmengine - INFO - Saving checkpoint at 77000 iterations
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+ 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
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+ 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
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+ 2023/11/29 00:47:19 - mmengine - INFO - Saving checkpoint at 78000 iterations
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+ 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
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+ 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
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+ 2023/11/29 01:12:50 - mmengine - INFO - Saving checkpoint at 79000 iterations
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+ 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
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+ 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
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+ 2023/11/29 01:38:34 - mmengine - INFO - Saving checkpoint at 80000 iterations
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+ 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
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+ 2023/11/29 01:42:05 - mmengine - INFO - Evaluating bbox...
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+ 2023/11/29 01:43:00 - mmengine - INFO - bbox_mAP_copypaste: 0.437 0.614 0.476 0.264 0.481 0.590
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+ 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
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+ 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
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+ 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
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+ 2023/11/29 02:08:13 - mmengine - INFO - Saving checkpoint at 81000 iterations
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+ 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
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+ 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
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+ 2023/11/29 02:33:40 - mmengine - INFO - Saving checkpoint at 82000 iterations
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+ 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
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+ 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
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+ 2023/11/29 02:59:10 - mmengine - INFO - Saving checkpoint at 83000 iterations
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+ 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
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+ 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
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+ 2023/11/29 03:24:49 - mmengine - INFO - Saving checkpoint at 84000 iterations
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+ 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
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+ 2023/11/29 04:25:26 - mmengine - INFO - Saving checkpoint at 85000 iterations
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+ 2023/11/29 04:28:54 - mmengine - INFO - Evaluating bbox...
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+ 2023/11/29 06:38:11 - mmengine - INFO - Evaluating bbox...
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+ 2023/11/29 06:39:08 - mmengine - INFO - bbox_mAP_copypaste: 0.443 0.619 0.480 0.265 0.490 0.591
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+ 2023/11/29 07:54:36 - mmengine - INFO - Saving checkpoint at 93000 iterations
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+ 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
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+ 2023/11/29 08:19:49 - mmengine - INFO - Saving checkpoint at 94000 iterations
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+ 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
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+ 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
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+ 2023/11/29 08:45:06 - mmengine - INFO - Saving checkpoint at 95000 iterations
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+ 2023/11/29 08:48:33 - mmengine - INFO - Evaluating bbox...
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+ 2023/11/29 08:49:29 - mmengine - INFO - bbox_mAP_copypaste: 0.447 0.622 0.487 0.271 0.496 0.595
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+ 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
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+ 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
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+ 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
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+ 2023/11/29 09:14:33 - mmengine - INFO - Saving checkpoint at 96000 iterations
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+ 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
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+ 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
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+ 2023/11/29 09:39:56 - mmengine - INFO - Saving checkpoint at 97000 iterations
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+ 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
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+ 2023/11/29 10:05:20 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949
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+ 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
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+ 2023/11/29 10:05:20 - mmengine - INFO - Saving checkpoint at 98000 iterations
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+ 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
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+ 2023/11/29 10:30:48 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949
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+ 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
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+ 2023/11/29 10:30:48 - mmengine - INFO - Saving checkpoint at 99000 iterations
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+ 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
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+ 2023/11/29 10:56:05 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949
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+ 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
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+ 2023/11/29 10:56:05 - mmengine - INFO - Saving checkpoint at 100000 iterations
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+ 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
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+ 2023/11/29 10:59:32 - mmengine - INFO - Evaluating bbox...
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+ 2023/11/29 11:00:28 - mmengine - INFO - bbox_mAP_copypaste: 0.446 0.622 0.485 0.270 0.492 0.592
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+ 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
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+ 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
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+ 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
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+ 2023/11/29 11:25:37 - mmengine - INFO - Saving checkpoint at 101000 iterations
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+ 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
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+ 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
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+ 2023/11/29 11:51:04 - mmengine - INFO - Saving checkpoint at 102000 iterations
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+ 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
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+ 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
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+ 2023/11/29 12:16:40 - mmengine - INFO - Saving checkpoint at 103000 iterations
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+ 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
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+ 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
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+ 2023/11/29 12:41:40 - mmengine - INFO - Saving checkpoint at 104000 iterations
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+ 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
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+ 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
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+ 2023/11/29 13:06:52 - mmengine - INFO - Saving checkpoint at 105000 iterations
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+ 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
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+ 2023/11/29 13:10:20 - mmengine - INFO - Evaluating bbox...
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+ 2023/11/29 13:11:14 - mmengine - INFO - bbox_mAP_copypaste: 0.445 0.622 0.486 0.273 0.494 0.594
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+ 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
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+ 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
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+ 2023/11/29 13:36:28 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949
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+ 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
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+ 2023/11/29 13:36:28 - mmengine - INFO - Saving checkpoint at 106000 iterations
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+ 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
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+ 2023/11/29 14:02:02 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949
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+ 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
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+ 2023/11/29 14:02:02 - mmengine - INFO - Saving checkpoint at 107000 iterations
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+ 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
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+ 2023/11/29 14:27:22 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949
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+ 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
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+ 2023/11/29 14:27:22 - mmengine - INFO - Saving checkpoint at 108000 iterations
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+ 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
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+ 2023/11/29 14:52:46 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949
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+ 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
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+ 2023/11/29 14:52:46 - mmengine - INFO - Saving checkpoint at 109000 iterations
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+ 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
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+ 2023/11/29 15:18:07 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949
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+ 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
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+ 2023/11/29 15:18:07 - mmengine - INFO - Saving checkpoint at 110000 iterations
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+ 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
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+ 2023/11/29 15:21:36 - mmengine - INFO - Evaluating bbox...
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+ 2023/11/29 15:22:32 - mmengine - INFO - bbox_mAP_copypaste: 0.448 0.624 0.487 0.272 0.496 0.597
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+ 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
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+ 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
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+ 2023/11/29 15:47:37 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_035949
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+ 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
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+ 2023/11/29 15:47:37 - mmengine - INFO - Saving checkpoint at 111000 iterations
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+ 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
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+ 2023/11/29 17:42:41 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_171718
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+ 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
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+ 2023/11/29 17:42:41 - mmengine - INFO - Saving checkpoint at 112000 iterations
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+ 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
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+ 2023/11/29 18:07:02 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_171718
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+ 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
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+ 2023/11/29 18:07:02 - mmengine - INFO - Saving checkpoint at 113000 iterations
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+ 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
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+ 2023/11/29 18:31:40 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_171718
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+ 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
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+ 2023/11/29 18:31:40 - mmengine - INFO - Saving checkpoint at 114000 iterations
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+ 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
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+ 2023/11/29 18:56:28 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_171718
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+ 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
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+ 2023/11/29 18:56:28 - mmengine - INFO - Saving checkpoint at 115000 iterations
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+ 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
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+ 2023/11/29 18:59:56 - mmengine - INFO - Evaluating bbox...
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+ 2023/11/29 19:00:53 - mmengine - INFO - bbox_mAP_copypaste: 0.448 0.624 0.491 0.273 0.496 0.595
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+ 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
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+ 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
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+ 2023/11/29 19:25:24 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_171718
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+ 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
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+ 2023/11/29 19:25:24 - mmengine - INFO - Saving checkpoint at 116000 iterations
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+ 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
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+ 2023/11/29 19:50:08 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_171718
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+ 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
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+ 2023/11/29 19:50:08 - mmengine - INFO - Saving checkpoint at 117000 iterations
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+ 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
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+ 2023/11/29 20:15:17 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_171718
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+ 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
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+ 2023/11/29 20:15:17 - mmengine - INFO - Saving checkpoint at 118000 iterations
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+ 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
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+ 2023/11/29 20:40:29 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_171718
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+ 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
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+ 2023/11/29 20:40:29 - mmengine - INFO - Saving checkpoint at 119000 iterations
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+ 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
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+ 2023/11/29 21:05:41 - mmengine - INFO - Exp name: univision_single_detection_base_20231129_171718
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+ 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
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+ 2023/11/29 21:05:41 - mmengine - INFO - Saving checkpoint at 120000 iterations
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+ 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
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+ 2023/11/29 21:09:10 - mmengine - INFO - Evaluating bbox...
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+ 2023/11/29 21:10:06 - mmengine - INFO - bbox_mAP_copypaste: 0.449 0.624 0.490 0.271 0.498 0.596
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+ 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
grounding_base.log ADDED
@@ -0,0 +1,397 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ 2023/11/27 02:02:46 - mmengine - INFO - Iter(train) [ 500/120000] base_lr: 1.9999e-04 lr: 1.9999e-05 eta: 9:05:33 time: 0.2739 data_time: 0.0044 memory: 3343 grad_norm: 7.3450 loss: 6.1322 grounding_loss_reg: 6.1322
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+ 2023/11/27 02:05:03 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 02:05:03 - mmengine - INFO - Iter(train) [ 1000/120000] base_lr: 1.9997e-04 lr: 1.9997e-05 eta: 9:02:09 time: 0.2734 data_time: 0.0044 memory: 3343 grad_norm: 6.9323 loss: 5.9174 grounding_loss_reg: 5.9174
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+ 2023/11/27 02:07:19 - mmengine - INFO - Iter(train) [ 1500/120000] base_lr: 1.9992e-04 lr: 1.9993e-05 eta: 8:59:56 time: 0.2734 data_time: 0.0044 memory: 3343 grad_norm: 6.8496 loss: 5.7478 grounding_loss_reg: 5.7478
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+ 2023/11/27 02:09:36 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 02:09:36 - mmengine - INFO - Iter(train) [ 2000/120000] base_lr: 1.9986e-04 lr: 1.9988e-05 eta: 8:57:54 time: 0.2735 data_time: 0.0043 memory: 3343 grad_norm: 6.9476 loss: 5.5909 grounding_loss_reg: 5.5909
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+ 2023/11/27 02:11:53 - mmengine - INFO - Iter(train) [ 2500/120000] base_lr: 1.9979e-04 lr: 1.9981e-05 eta: 8:55:42 time: 0.2736 data_time: 0.0044 memory: 3343 grad_norm: 7.1267 loss: 5.4248 grounding_loss_reg: 5.4248
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+ 2023/11/27 02:14:10 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 02:14:10 - mmengine - INFO - Iter(train) [ 3000/120000] base_lr: 1.9970e-04 lr: 1.9972e-05 eta: 8:53:38 time: 0.2737 data_time: 0.0044 memory: 3343 grad_norm: 7.2543 loss: 5.2984 grounding_loss_reg: 5.2984
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+ 2023/11/27 02:16:27 - mmengine - INFO - Iter(train) [ 3500/120000] base_lr: 1.9958e-04 lr: 1.9962e-05 eta: 8:51:24 time: 0.2737 data_time: 0.0044 memory: 3343 grad_norm: 7.3870 loss: 5.1853 grounding_loss_reg: 5.1853
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+ 2023/11/27 02:18:44 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 02:18:44 - mmengine - INFO - Iter(train) [ 4000/120000] base_lr: 1.9946e-04 lr: 1.9951e-05 eta: 8:49:17 time: 0.2738 data_time: 0.0044 memory: 3343 grad_norm: 7.4870 loss: 5.0862 grounding_loss_reg: 5.0862
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+ 2023/11/27 02:21:01 - mmengine - INFO - Iter(train) [ 4500/120000] base_lr: 1.9931e-04 lr: 1.9938e-05 eta: 8:47:04 time: 0.2738 data_time: 0.0044 memory: 3343 grad_norm: 7.5867 loss: 4.8646 grounding_loss_reg: 4.8646
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+ 2023/11/27 02:23:18 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 02:23:18 - mmengine - INFO - Iter(train) [ 5000/120000] base_lr: 1.9915e-04 lr: 1.9923e-05 eta: 8:44:47 time: 0.2739 data_time: 0.0044 memory: 3343 grad_norm: 7.7990 loss: 4.6784 grounding_loss_reg: 4.6784
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+ 2023/11/27 02:23:35 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.4812 visual-grounding/acc: 0.5447 data_time: 0.0180 time: 0.1678
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+ 2023/11/27 02:25:53 - mmengine - INFO - Iter(train) [ 5500/120000] base_lr: 1.9898e-04 lr: 1.9907e-05 eta: 8:43:44 time: 0.2749 data_time: 0.0049 memory: 3629 grad_norm: 7.9981 loss: 4.5213 grounding_loss_reg: 4.5213
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+ 2023/11/27 02:28:11 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 02:28:11 - mmengine - INFO - Iter(train) [ 6000/120000] base_lr: 1.9878e-04 lr: 1.9889e-05 eta: 8:41:45 time: 0.2752 data_time: 0.0049 memory: 3343 grad_norm: 8.1289 loss: 4.3929 grounding_loss_reg: 4.3929
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+ 2023/11/27 02:30:30 - mmengine - INFO - Iter(train) [ 6500/120000] base_lr: 1.9857e-04 lr: 1.9870e-05 eta: 8:39:45 time: 0.2755 data_time: 0.0049 memory: 3343 grad_norm: 8.1971 loss: 4.3083 grounding_loss_reg: 4.3083
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+ 2023/11/27 02:32:48 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 02:32:48 - mmengine - INFO - Iter(train) [ 7000/120000] base_lr: 1.9834e-04 lr: 1.9849e-05 eta: 8:37:41 time: 0.2758 data_time: 0.0049 memory: 3343 grad_norm: 8.2671 loss: 4.2295 grounding_loss_reg: 4.2295
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+ 2023/11/27 02:35:06 - mmengine - INFO - Iter(train) [ 7500/120000] base_lr: 1.9810e-04 lr: 1.9827e-05 eta: 8:35:33 time: 0.2761 data_time: 0.0049 memory: 3343 grad_norm: 8.2859 loss: 4.1572 grounding_loss_reg: 4.1572
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+ 2023/11/27 02:37:25 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 02:37:25 - mmengine - INFO - Iter(train) [ 8000/120000] base_lr: 1.9784e-04 lr: 1.9803e-05 eta: 8:33:33 time: 0.2765 data_time: 0.0049 memory: 3343 grad_norm: 8.2992 loss: 4.1011 grounding_loss_reg: 4.1011
26
+ 2023/11/27 02:39:43 - mmengine - INFO - Iter(train) [ 8500/120000] base_lr: 1.9756e-04 lr: 1.9778e-05 eta: 8:31:26 time: 0.2768 data_time: 0.0049 memory: 3343 grad_norm: 8.3362 loss: 4.0399 grounding_loss_reg: 4.0399
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+ 2023/11/27 02:42:01 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 02:42:01 - mmengine - INFO - Iter(train) [ 9000/120000] base_lr: 1.9727e-04 lr: 1.9751e-05 eta: 8:29:19 time: 0.2772 data_time: 0.0049 memory: 3343 grad_norm: 8.3697 loss: 3.9897 grounding_loss_reg: 3.9897
29
+ 2023/11/27 02:44:20 - mmengine - INFO - Iter(train) [ 9500/120000] base_lr: 1.9695e-04 lr: 1.9723e-05 eta: 8:27:09 time: 0.2767 data_time: 0.0044 memory: 3343 grad_norm: 8.4087 loss: 3.9429 grounding_loss_reg: 3.9429
30
+ 2023/11/27 02:46:38 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 02:46:38 - mmengine - INFO - Iter(train) [ 10000/120000] base_lr: 1.9663e-04 lr: 1.9693e-05 eta: 8:25:00 time: 0.2767 data_time: 0.0044 memory: 3343 grad_norm: 8.4571 loss: 3.8981 grounding_loss_reg: 3.8981
32
+ 2023/11/27 02:46:38 - mmengine - INFO - Saving checkpoint at 10000 iterations
33
+ 2023/11/27 02:47:03 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.5819 visual-grounding/acc: 0.6657 data_time: 0.0071 time: 0.1543
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+ 2023/11/27 02:49:22 - mmengine - INFO - Iter(train) [ 10500/120000] base_lr: 1.9628e-04 lr: 1.9662e-05 eta: 8:23:10 time: 0.2773 data_time: 0.0048 memory: 3629 grad_norm: 8.4973 loss: 3.8570 grounding_loss_reg: 3.8570
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+ 2023/11/27 02:51:41 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 02:51:41 - mmengine - INFO - Iter(train) [ 11000/120000] base_lr: 1.9592e-04 lr: 1.9629e-05 eta: 8:21:01 time: 0.2774 data_time: 0.0048 memory: 3343 grad_norm: 8.5302 loss: 3.8100 grounding_loss_reg: 3.8100
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+ 2023/11/27 02:53:59 - mmengine - INFO - Iter(train) [ 11500/120000] base_lr: 1.9555e-04 lr: 1.9595e-05 eta: 8:18:52 time: 0.2776 data_time: 0.0048 memory: 3343 grad_norm: 8.5928 loss: 3.7767 grounding_loss_reg: 3.7767
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+ 2023/11/27 02:56:18 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 02:56:18 - mmengine - INFO - Iter(train) [ 12000/120000] base_lr: 1.9516e-04 lr: 1.9560e-05 eta: 8:16:42 time: 0.2776 data_time: 0.0048 memory: 3343 grad_norm: 8.6554 loss: 3.7381 grounding_loss_reg: 3.7381
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+ 2023/11/27 02:58:37 - mmengine - INFO - Iter(train) [ 12500/120000] base_lr: 1.9475e-04 lr: 1.9522e-05 eta: 8:14:32 time: 0.2777 data_time: 0.0048 memory: 3343 grad_norm: 8.7008 loss: 3.7053 grounding_loss_reg: 3.7053
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+ 2023/11/27 03:00:56 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 03:00:56 - mmengine - INFO - Iter(train) [ 13000/120000] base_lr: 1.9432e-04 lr: 1.9484e-05 eta: 8:12:16 time: 0.2777 data_time: 0.0048 memory: 3343 grad_norm: 8.7457 loss: 3.6813 grounding_loss_reg: 3.6813
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+ 2023/11/27 03:03:14 - mmengine - INFO - Iter(train) [ 13500/120000] base_lr: 1.9388e-04 lr: 1.9444e-05 eta: 8:10:02 time: 0.2777 data_time: 0.0048 memory: 3343 grad_norm: 8.7677 loss: 3.6560 grounding_loss_reg: 3.6560
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+ 2023/11/27 03:05:33 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 03:05:33 - mmengine - INFO - Iter(train) [ 14000/120000] base_lr: 1.9343e-04 lr: 1.9402e-05 eta: 8:07:51 time: 0.2779 data_time: 0.0048 memory: 3343 grad_norm: 8.7766 loss: 3.6321 grounding_loss_reg: 3.6321
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+ 2023/11/27 03:07:52 - mmengine - INFO - Iter(train) [ 14500/120000] base_lr: 1.9295e-04 lr: 1.9359e-05 eta: 8:05:37 time: 0.2774 data_time: 0.0045 memory: 3343 grad_norm: 8.8169 loss: 3.6074 grounding_loss_reg: 3.6074
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+ 2023/11/27 03:10:11 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 03:10:11 - mmengine - INFO - Iter(train) [ 15000/120000] base_lr: 1.9247e-04 lr: 1.9315e-05 eta: 8:03:25 time: 0.2775 data_time: 0.0045 memory: 3343 grad_norm: 8.8356 loss: 3.5956 grounding_loss_reg: 3.5956
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+ 2023/11/27 03:10:26 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.6579 visual-grounding/acc: 0.7493 data_time: 0.0069 time: 0.1567
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+ 2023/11/27 03:12:45 - mmengine - INFO - Iter(train) [ 15500/120000] base_lr: 1.9196e-04 lr: 1.9269e-05 eta: 8:01:24 time: 0.2779 data_time: 0.0049 memory: 3629 grad_norm: 8.8330 loss: 3.5729 grounding_loss_reg: 3.5729
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+ 2023/11/27 03:15:04 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 03:15:04 - mmengine - INFO - Iter(train) [ 16000/120000] base_lr: 1.9144e-04 lr: 1.9222e-05 eta: 7:59:12 time: 0.2780 data_time: 0.0049 memory: 3343 grad_norm: 8.8550 loss: 3.5531 grounding_loss_reg: 3.5531
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+ 2023/11/27 03:17:24 - mmengine - INFO - Iter(train) [ 16500/120000] base_lr: 1.9091e-04 lr: 1.9173e-05 eta: 7:57:03 time: 0.2782 data_time: 0.0049 memory: 3343 grad_norm: 8.8762 loss: 3.5304 grounding_loss_reg: 3.5304
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+ 2023/11/27 03:19:43 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 03:19:43 - mmengine - INFO - Iter(train) [ 17000/120000] base_lr: 1.9036e-04 lr: 1.9123e-05 eta: 7:54:52 time: 0.2785 data_time: 0.0049 memory: 3343 grad_norm: 8.8876 loss: 3.5069 grounding_loss_reg: 3.5069
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+ 2023/11/27 03:22:03 - mmengine - INFO - Iter(train) [ 17500/120000] base_lr: 1.8979e-04 lr: 1.9072e-05 eta: 7:52:43 time: 0.2789 data_time: 0.0049 memory: 3343 grad_norm: 8.9113 loss: 3.4889 grounding_loss_reg: 3.4889
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+ 2023/11/27 03:24:22 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 03:24:22 - mmengine - INFO - Iter(train) [ 18000/120000] base_lr: 1.8921e-04 lr: 1.9019e-05 eta: 7:50:29 time: 0.2789 data_time: 0.0049 memory: 3343 grad_norm: 8.9318 loss: 3.4664 grounding_loss_reg: 3.4664
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+ 2023/11/27 03:26:42 - mmengine - INFO - Iter(train) [ 18500/120000] base_lr: 1.8861e-04 lr: 1.8965e-05 eta: 7:48:17 time: 0.2791 data_time: 0.0049 memory: 3343 grad_norm: 8.9196 loss: 3.4480 grounding_loss_reg: 3.4480
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+ 2023/11/27 03:29:01 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 03:29:01 - mmengine - INFO - Iter(train) [ 19000/120000] base_lr: 1.8800e-04 lr: 1.8909e-05 eta: 7:46:03 time: 0.2792 data_time: 0.0049 memory: 3343 grad_norm: 8.9220 loss: 3.4218 grounding_loss_reg: 3.4218
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+ 2023/11/27 03:31:20 - mmengine - INFO - Iter(train) [ 19500/120000] base_lr: 1.8738e-04 lr: 1.8853e-05 eta: 7:43:49 time: 0.2789 data_time: 0.0045 memory: 3343 grad_norm: 8.9323 loss: 3.4058 grounding_loss_reg: 3.4058
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+ 2023/11/27 03:33:40 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 03:33:40 - mmengine - INFO - Iter(train) [ 20000/120000] base_lr: 1.8674e-04 lr: 1.8794e-05 eta: 7:41:36 time: 0.2790 data_time: 0.0045 memory: 3343 grad_norm: 8.9261 loss: 3.3892 grounding_loss_reg: 3.3892
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+ 2023/11/27 03:33:40 - mmengine - INFO - Saving checkpoint at 20000 iterations
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+ 2023/11/27 03:34:04 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.6823 visual-grounding/acc: 0.7723 data_time: 0.0064 time: 0.1553
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+ 2023/11/27 03:36:23 - mmengine - INFO - Iter(train) [ 20500/120000] base_lr: 1.8608e-04 lr: 1.8735e-05 eta: 7:39:28 time: 0.2792 data_time: 0.0048 memory: 3629 grad_norm: 8.9149 loss: 3.3791 grounding_loss_reg: 3.3791
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+ 2023/11/27 03:38:43 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 03:38:43 - mmengine - INFO - Iter(train) [ 21000/120000] base_lr: 1.8541e-04 lr: 1.8674e-05 eta: 7:37:14 time: 0.2792 data_time: 0.0048 memory: 3343 grad_norm: 8.9126 loss: 3.3699 grounding_loss_reg: 3.3699
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+ 2023/11/27 03:41:02 - mmengine - INFO - Iter(train) [ 21500/120000] base_lr: 1.8473e-04 lr: 1.8612e-05 eta: 7:34:59 time: 0.2791 data_time: 0.0048 memory: 3343 grad_norm: 8.9075 loss: 3.3515 grounding_loss_reg: 3.3515
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+ 2023/11/27 03:43:22 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 03:43:22 - mmengine - INFO - Iter(train) [ 22000/120000] base_lr: 1.8403e-04 lr: 1.8548e-05 eta: 7:32:43 time: 0.2791 data_time: 0.0048 memory: 3343 grad_norm: 8.9267 loss: 3.3465 grounding_loss_reg: 3.3465
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+ 2023/11/27 03:45:41 - mmengine - INFO - Iter(train) [ 22500/120000] base_lr: 1.8332e-04 lr: 1.8483e-05 eta: 7:30:29 time: 0.2791 data_time: 0.0048 memory: 3343 grad_norm: 8.9259 loss: 3.3329 grounding_loss_reg: 3.3329
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+ 2023/11/27 03:48:01 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 03:48:01 - mmengine - INFO - Iter(train) [ 23000/120000] base_lr: 1.8259e-04 lr: 1.8417e-05 eta: 7:28:13 time: 0.2791 data_time: 0.0048 memory: 3343 grad_norm: 8.9449 loss: 3.3242 grounding_loss_reg: 3.3242
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+ 2023/11/27 03:50:20 - mmengine - INFO - Iter(train) [ 23500/120000] base_lr: 1.8185e-04 lr: 1.8350e-05 eta: 7:25:58 time: 0.2792 data_time: 0.0048 memory: 3343 grad_norm: 8.9781 loss: 3.3106 grounding_loss_reg: 3.3106
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+ 2023/11/27 03:52:39 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 03:52:39 - mmengine - INFO - Iter(train) [ 24000/120000] base_lr: 1.8109e-04 lr: 1.8281e-05 eta: 7:23:41 time: 0.2790 data_time: 0.0048 memory: 3343 grad_norm: 8.9856 loss: 3.2975 grounding_loss_reg: 3.2975
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+ 2023/11/27 03:54:58 - mmengine - INFO - Iter(train) [ 24500/120000] base_lr: 1.8033e-04 lr: 1.8211e-05 eta: 7:21:25 time: 0.2787 data_time: 0.0045 memory: 3343 grad_norm: 9.0023 loss: 3.2779 grounding_loss_reg: 3.2779
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+ 2023/11/27 03:57:18 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 03:57:18 - mmengine - INFO - Iter(train) [ 25000/120000] base_lr: 1.7954e-04 lr: 1.8140e-05 eta: 7:19:09 time: 0.2787 data_time: 0.0045 memory: 3343 grad_norm: 9.0073 loss: 3.2607 grounding_loss_reg: 3.2607
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+ 2023/11/27 03:57:33 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.6942 visual-grounding/acc: 0.7848 data_time: 0.0064 time: 0.1543
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+ 2023/11/27 03:59:52 - mmengine - INFO - Iter(train) [ 25500/120000] base_lr: 1.7875e-04 lr: 1.8068e-05 eta: 7:17:00 time: 0.2792 data_time: 0.0049 memory: 3629 grad_norm: 9.0183 loss: 3.2535 grounding_loss_reg: 3.2535
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+ 2023/11/27 04:02:12 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 04:02:12 - mmengine - INFO - Iter(train) [ 26000/120000] base_lr: 1.7794e-04 lr: 1.7994e-05 eta: 7:14:45 time: 0.2793 data_time: 0.0049 memory: 3343 grad_norm: 9.0133 loss: 3.2338 grounding_loss_reg: 3.2338
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+ 2023/11/27 04:04:31 - mmengine - INFO - Iter(train) [ 26500/120000] base_lr: 1.7712e-04 lr: 1.7920e-05 eta: 7:12:29 time: 0.2792 data_time: 0.0049 memory: 3343 grad_norm: 9.0257 loss: 3.2167 grounding_loss_reg: 3.2167
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+ 2023/11/27 04:06:51 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 04:06:51 - mmengine - INFO - Iter(train) [ 27000/120000] base_lr: 1.7628e-04 lr: 1.7844e-05 eta: 7:10:13 time: 0.2793 data_time: 0.0049 memory: 3343 grad_norm: 9.0173 loss: 3.2033 grounding_loss_reg: 3.2033
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+ 2023/11/27 04:09:11 - mmengine - INFO - Iter(train) [ 27500/120000] base_lr: 1.7543e-04 lr: 1.7767e-05 eta: 7:07:57 time: 0.2793 data_time: 0.0049 memory: 3343 grad_norm: 8.9811 loss: 3.1975 grounding_loss_reg: 3.1975
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+ 2023/11/27 04:11:30 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 04:11:30 - mmengine - INFO - Iter(train) [ 28000/120000] base_lr: 1.7457e-04 lr: 1.7688e-05 eta: 7:05:40 time: 0.2794 data_time: 0.0049 memory: 3343 grad_norm: 8.9891 loss: 3.1902 grounding_loss_reg: 3.1902
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+ 2023/11/27 04:13:50 - mmengine - INFO - Iter(train) [ 28500/120000] base_lr: 1.7370e-04 lr: 1.7609e-05 eta: 7:03:24 time: 0.2796 data_time: 0.0049 memory: 3343 grad_norm: 8.9944 loss: 3.1875 grounding_loss_reg: 3.1875
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+ 2023/11/27 04:16:09 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 04:16:09 - mmengine - INFO - Iter(train) [ 29000/120000] base_lr: 1.7281e-04 lr: 1.7529e-05 eta: 7:01:07 time: 0.2796 data_time: 0.0049 memory: 3343 grad_norm: 8.9955 loss: 3.1801 grounding_loss_reg: 3.1801
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+ 2023/11/27 04:18:29 - mmengine - INFO - Iter(train) [ 29500/120000] base_lr: 1.7192e-04 lr: 1.7447e-05 eta: 6:58:52 time: 0.2792 data_time: 0.0045 memory: 3343 grad_norm: 9.0112 loss: 3.1693 grounding_loss_reg: 3.1693
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+ 2023/11/27 04:20:49 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 04:20:49 - mmengine - INFO - Iter(train) [ 30000/120000] base_lr: 1.7101e-04 lr: 1.7364e-05 eta: 6:56:35 time: 0.2791 data_time: 0.0045 memory: 3343 grad_norm: 9.0116 loss: 3.1595 grounding_loss_reg: 3.1595
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+ 2023/11/27 04:20:49 - mmengine - INFO - Saving checkpoint at 30000 iterations
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+ 2023/11/27 04:21:13 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.7122 visual-grounding/acc: 0.7990 data_time: 0.0067 time: 0.1538
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+ 2023/11/27 04:23:33 - mmengine - INFO - Iter(train) [ 30500/120000] base_lr: 1.7008e-04 lr: 1.7280e-05 eta: 6:54:23 time: 0.2796 data_time: 0.0049 memory: 3629 grad_norm: 9.0143 loss: 3.1500 grounding_loss_reg: 3.1500
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+ 2023/11/27 04:25:53 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 04:25:53 - mmengine - INFO - Iter(train) [ 31000/120000] base_lr: 1.6915e-04 lr: 1.7195e-05 eta: 6:52:08 time: 0.2798 data_time: 0.0049 memory: 3343 grad_norm: 9.0366 loss: 3.1336 grounding_loss_reg: 3.1336
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+ 2023/11/27 04:28:13 - mmengine - INFO - Iter(train) [ 31500/120000] base_lr: 1.6820e-04 lr: 1.7109e-05 eta: 6:49:51 time: 0.2798 data_time: 0.0049 memory: 3343 grad_norm: 9.0638 loss: 3.1117 grounding_loss_reg: 3.1117
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+ 2023/11/27 04:30:33 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 04:30:33 - mmengine - INFO - Iter(train) [ 32000/120000] base_lr: 1.6725e-04 lr: 1.7022e-05 eta: 6:47:36 time: 0.2800 data_time: 0.0049 memory: 3343 grad_norm: 9.0787 loss: 3.0953 grounding_loss_reg: 3.0953
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+ 2023/11/27 04:32:53 - mmengine - INFO - Iter(train) [ 32500/120000] base_lr: 1.6628e-04 lr: 1.6934e-05 eta: 6:45:18 time: 0.2799 data_time: 0.0049 memory: 3343 grad_norm: 9.1081 loss: 3.0774 grounding_loss_reg: 3.0774
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+ 2023/11/27 04:35:13 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 04:35:13 - mmengine - INFO - Iter(train) [ 33000/120000] base_lr: 1.6530e-04 lr: 1.6845e-05 eta: 6:43:02 time: 0.2801 data_time: 0.0049 memory: 3343 grad_norm: 9.1368 loss: 3.0561 grounding_loss_reg: 3.0561
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+ 2023/11/27 04:37:33 - mmengine - INFO - Iter(train) [ 33500/120000] base_lr: 1.6431e-04 lr: 1.6755e-05 eta: 6:40:46 time: 0.2801 data_time: 0.0049 memory: 3343 grad_norm: 9.1515 loss: 3.0432 grounding_loss_reg: 3.0432
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+ 2023/11/27 04:39:53 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 04:39:53 - mmengine - INFO - Iter(train) [ 34000/120000] base_lr: 1.6330e-04 lr: 1.6664e-05 eta: 6:38:29 time: 0.2802 data_time: 0.0049 memory: 3343 grad_norm: 9.1668 loss: 3.0422 grounding_loss_reg: 3.0422
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+ 2023/11/27 04:42:13 - mmengine - INFO - Iter(train) [ 34500/120000] base_lr: 1.6229e-04 lr: 1.6572e-05 eta: 6:36:12 time: 0.2799 data_time: 0.0045 memory: 3343 grad_norm: 9.1812 loss: 3.0337 grounding_loss_reg: 3.0337
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+ 2023/11/27 04:44:32 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 04:44:32 - mmengine - INFO - Iter(train) [ 35000/120000] base_lr: 1.6127e-04 lr: 1.6479e-05 eta: 6:33:54 time: 0.2797 data_time: 0.0045 memory: 3343 grad_norm: 9.1832 loss: 3.0291 grounding_loss_reg: 3.0291
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+ 2023/11/27 04:44:47 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.7166 visual-grounding/acc: 0.8001 data_time: 0.0064 time: 0.1559
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+ 2023/11/27 04:47:07 - mmengine - INFO - Iter(train) [ 35500/120000] base_lr: 1.6024e-04 lr: 1.6385e-05 eta: 6:31:41 time: 0.2801 data_time: 0.0049 memory: 3629 grad_norm: 9.1922 loss: 3.0207 grounding_loss_reg: 3.0207
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+ 2023/11/27 04:49:26 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 04:49:26 - mmengine - INFO - Iter(train) [ 36000/120000] base_lr: 1.5919e-04 lr: 1.6290e-05 eta: 6:29:22 time: 0.2798 data_time: 0.0049 memory: 3343 grad_norm: 9.1985 loss: 3.0145 grounding_loss_reg: 3.0145
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+ 2023/11/27 04:51:45 - mmengine - INFO - Iter(train) [ 36500/120000] base_lr: 1.5814e-04 lr: 1.6194e-05 eta: 6:27:03 time: 0.2797 data_time: 0.0049 memory: 3343 grad_norm: 9.1931 loss: 3.0131 grounding_loss_reg: 3.0131
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+ 2023/11/27 04:54:05 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 04:54:05 - mmengine - INFO - Iter(train) [ 37000/120000] base_lr: 1.5708e-04 lr: 1.6098e-05 eta: 6:24:45 time: 0.2796 data_time: 0.0049 memory: 3343 grad_norm: 9.1991 loss: 3.0145 grounding_loss_reg: 3.0145
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+ 2023/11/27 04:56:24 - mmengine - INFO - Iter(train) [ 37500/120000] base_lr: 1.5600e-04 lr: 1.6000e-05 eta: 6:22:26 time: 0.2794 data_time: 0.0049 memory: 3343 grad_norm: 9.1956 loss: 3.0033 grounding_loss_reg: 3.0033
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+ 2023/11/27 04:58:44 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 04:58:44 - mmengine - INFO - Iter(train) [ 38000/120000] base_lr: 1.5492e-04 lr: 1.5902e-05 eta: 6:20:09 time: 0.2794 data_time: 0.0049 memory: 3343 grad_norm: 9.2316 loss: 2.9844 grounding_loss_reg: 2.9844
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+ 2023/11/27 05:01:03 - mmengine - INFO - Iter(train) [ 38500/120000] base_lr: 1.5383e-04 lr: 1.5803e-05 eta: 6:17:51 time: 0.2793 data_time: 0.0049 memory: 3343 grad_norm: 9.2315 loss: 2.9759 grounding_loss_reg: 2.9759
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+ 2023/11/27 05:03:23 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 05:03:23 - mmengine - INFO - Iter(train) [ 39000/120000] base_lr: 1.5273e-04 lr: 1.5703e-05 eta: 6:15:32 time: 0.2793 data_time: 0.0049 memory: 3343 grad_norm: 9.2548 loss: 2.9665 grounding_loss_reg: 2.9665
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+ 2023/11/27 05:05:43 - mmengine - INFO - Iter(train) [ 39500/120000] base_lr: 1.5162e-04 lr: 1.5602e-05 eta: 6:13:15 time: 0.2790 data_time: 0.0045 memory: 3343 grad_norm: 9.2525 loss: 2.9680 grounding_loss_reg: 2.9680
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+ 2023/11/27 05:08:02 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 05:08:02 - mmengine - INFO - Iter(train) [ 40000/120000] base_lr: 1.5050e-04 lr: 1.5500e-05 eta: 6:10:56 time: 0.2790 data_time: 0.0045 memory: 3343 grad_norm: 9.2564 loss: 2.9634 grounding_loss_reg: 2.9634
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+ 2023/11/27 05:08:02 - mmengine - INFO - Saving checkpoint at 40000 iterations
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+ 2023/11/27 05:08:27 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.7288 visual-grounding/acc: 0.8110 data_time: 0.0063 time: 0.1539
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+ 2023/11/27 05:10:46 - mmengine - INFO - Iter(train) [ 40500/120000] base_lr: 1.4938e-04 lr: 1.5398e-05 eta: 6:08:41 time: 0.2795 data_time: 0.0049 memory: 3629 grad_norm: 9.2626 loss: 2.9524 grounding_loss_reg: 2.9524
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+ 2023/11/27 05:31:43 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 05:31:43 - mmengine - INFO - Iter(train) [ 45000/120000] base_lr: 1.3889e-04 lr: 1.4444e-05 eta: 5:47:56 time: 0.2792 data_time: 0.0046 memory: 3343 grad_norm: 9.3838 loss: 2.8688 grounding_loss_reg: 2.8688
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+ 2023/11/27 05:38:57 - mmengine - INFO - Iter(train) [ 46500/120000] base_lr: 1.3527e-04 lr: 1.4115e-05 eta: 5:41:03 time: 0.2796 data_time: 0.0050 memory: 3343 grad_norm: 9.3831 loss: 2.8465 grounding_loss_reg: 2.8465
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+ 2023/11/27 05:41:16 - mmengine - INFO - Iter(train) [ 47000/120000] base_lr: 1.3405e-04 lr: 1.4004e-05 eta: 5:38:44 time: 0.2794 data_time: 0.0049 memory: 3343 grad_norm: 9.3520 loss: 2.8418 grounding_loss_reg: 2.8418
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+ 2023/11/27 05:43:36 - mmengine - INFO - Iter(train) [ 47500/120000] base_lr: 1.3282e-04 lr: 1.3893e-05 eta: 5:36:25 time: 0.2794 data_time: 0.0049 memory: 3343 grad_norm: 9.3445 loss: 2.8288 grounding_loss_reg: 2.8288
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+ 2023/11/27 05:45:55 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 05:45:55 - mmengine - INFO - Iter(train) [ 48000/120000] base_lr: 1.3160e-04 lr: 1.3781e-05 eta: 5:34:06 time: 0.2793 data_time: 0.0049 memory: 3343 grad_norm: 9.3438 loss: 2.8148 grounding_loss_reg: 2.8148
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+ 2023/11/27 05:48:14 - mmengine - INFO - Iter(train) [ 48500/120000] base_lr: 1.3036e-04 lr: 1.3669e-05 eta: 5:31:46 time: 0.2792 data_time: 0.0049 memory: 3343 grad_norm: 9.3529 loss: 2.8081 grounding_loss_reg: 2.8081
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+ 2023/11/27 05:50:33 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 05:50:33 - mmengine - INFO - Iter(train) [ 49000/120000] base_lr: 1.2912e-04 lr: 1.3556e-05 eta: 5:29:27 time: 0.2792 data_time: 0.0049 memory: 3343 grad_norm: 9.3553 loss: 2.7962 grounding_loss_reg: 2.7962
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+ 2023/11/27 05:55:12 - mmengine - INFO - Iter(train) [ 50000/120000] base_lr: 1.2663e-04 lr: 1.3330e-05 eta: 5:24:50 time: 0.2787 data_time: 0.0046 memory: 3343 grad_norm: 9.4113 loss: 2.7783 grounding_loss_reg: 2.7783
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+ 2023/11/27 05:55:12 - mmengine - INFO - Saving checkpoint at 50000 iterations
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+ 2023/11/27 05:55:37 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.7403 visual-grounding/acc: 0.8152 data_time: 0.0063 time: 0.1534
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+ 2023/11/27 05:57:57 - mmengine - INFO - Iter(train) [ 50500/120000] base_lr: 1.2537e-04 lr: 1.3216e-05 eta: 5:22:34 time: 0.2792 data_time: 0.0050 memory: 3629 grad_norm: 9.4128 loss: 2.7682 grounding_loss_reg: 2.7682
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+ 2023/11/27 06:02:37 - mmengine - INFO - Iter(train) [ 51500/120000] base_lr: 1.2285e-04 lr: 1.2987e-05 eta: 5:17:57 time: 0.2795 data_time: 0.0050 memory: 3343 grad_norm: 9.4875 loss: 2.7493 grounding_loss_reg: 2.7493
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+ 2023/11/27 06:04:56 - mmengine - INFO - Iter(train) [ 52000/120000] base_lr: 1.2159e-04 lr: 1.2871e-05 eta: 5:15:38 time: 0.2797 data_time: 0.0050 memory: 3343 grad_norm: 9.5154 loss: 2.7408 grounding_loss_reg: 2.7408
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+ 2023/11/27 06:07:17 - mmengine - INFO - Iter(train) [ 52500/120000] base_lr: 1.2032e-04 lr: 1.2756e-05 eta: 5:13:20 time: 0.2800 data_time: 0.0050 memory: 3343 grad_norm: 9.5228 loss: 2.7254 grounding_loss_reg: 2.7254
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+ 2023/11/27 06:09:36 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 06:11:56 - mmengine - INFO - Iter(train) [ 53500/120000] base_lr: 1.1777e-04 lr: 1.2524e-05 eta: 5:08:43 time: 0.2801 data_time: 0.0050 memory: 3343 grad_norm: 9.5207 loss: 2.7112 grounding_loss_reg: 2.7112
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+ 2023/11/27 06:14:16 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 06:18:56 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 06:18:56 - mmengine - INFO - Iter(train) [ 55000/120000] base_lr: 1.1392e-04 lr: 1.2175e-05 eta: 5:01:48 time: 0.2798 data_time: 0.0046 memory: 3343 grad_norm: 9.5015 loss: 2.6908 grounding_loss_reg: 2.6908
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+ 2023/11/27 06:19:11 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.7428 visual-grounding/acc: 0.8183 data_time: 0.0064 time: 0.1556
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+ 2023/11/27 06:21:30 - mmengine - INFO - Iter(train) [ 55500/120000] base_lr: 1.1264e-04 lr: 1.2058e-05 eta: 4:59:30 time: 0.2800 data_time: 0.0050 memory: 3629 grad_norm: 9.4965 loss: 2.6877 grounding_loss_reg: 2.6877
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+ 2023/11/27 06:23:50 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 06:23:50 - mmengine - INFO - Iter(train) [ 56000/120000] base_lr: 1.1135e-04 lr: 1.1941e-05 eta: 4:57:11 time: 0.2800 data_time: 0.0050 memory: 3343 grad_norm: 9.4993 loss: 2.6908 grounding_loss_reg: 2.6908
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+ 2023/11/27 06:26:09 - mmengine - INFO - Iter(train) [ 56500/120000] base_lr: 1.1006e-04 lr: 1.1824e-05 eta: 4:54:52 time: 0.2797 data_time: 0.0050 memory: 3343 grad_norm: 9.4930 loss: 2.6839 grounding_loss_reg: 2.6839
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+ 2023/11/27 06:28:29 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 06:28:29 - mmengine - INFO - Iter(train) [ 57000/120000] base_lr: 1.0877e-04 lr: 1.1706e-05 eta: 4:52:33 time: 0.2797 data_time: 0.0050 memory: 3343 grad_norm: 9.5287 loss: 2.6780 grounding_loss_reg: 2.6780
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+ 2023/11/27 06:30:48 - mmengine - INFO - Iter(train) [ 57500/120000] base_lr: 1.0748e-04 lr: 1.1589e-05 eta: 4:50:14 time: 0.2797 data_time: 0.0050 memory: 3343 grad_norm: 9.5507 loss: 2.6759 grounding_loss_reg: 2.6759
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+ 2023/11/27 06:33:08 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 06:33:08 - mmengine - INFO - Iter(train) [ 58000/120000] base_lr: 1.0618e-04 lr: 1.1471e-05 eta: 4:47:54 time: 0.2794 data_time: 0.0050 memory: 3343 grad_norm: 9.5471 loss: 2.6694 grounding_loss_reg: 2.6694
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+ 2023/11/27 06:35:28 - mmengine - INFO - Iter(train) [ 58500/120000] base_lr: 1.0489e-04 lr: 1.1354e-05 eta: 4:45:35 time: 0.2795 data_time: 0.0050 memory: 3343 grad_norm: 9.5639 loss: 2.6647 grounding_loss_reg: 2.6647
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+ 2023/11/27 06:37:47 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 06:37:47 - mmengine - INFO - Iter(train) [ 59000/120000] base_lr: 1.0359e-04 lr: 1.1236e-05 eta: 4:43:16 time: 0.2792 data_time: 0.0050 memory: 3343 grad_norm: 9.5843 loss: 2.6577 grounding_loss_reg: 2.6577
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+ 2023/11/27 06:40:06 - mmengine - INFO - Iter(train) [ 59500/120000] base_lr: 1.0230e-04 lr: 1.1118e-05 eta: 4:40:56 time: 0.2788 data_time: 0.0046 memory: 3343 grad_norm: 9.5856 loss: 2.6486 grounding_loss_reg: 2.6486
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+ 2023/11/27 06:42:25 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 06:42:25 - mmengine - INFO - Iter(train) [ 60000/120000] base_lr: 1.0100e-04 lr: 1.1000e-05 eta: 4:38:37 time: 0.2788 data_time: 0.0046 memory: 3343 grad_norm: 9.5718 loss: 2.6402 grounding_loss_reg: 2.6402
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+ 2023/11/27 06:42:25 - mmengine - INFO - Saving checkpoint at 60000 iterations
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+ 2023/11/27 06:42:50 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.7488 visual-grounding/acc: 0.8223 data_time: 0.0064 time: 0.1538
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+ 2023/11/27 06:45:09 - mmengine - INFO - Iter(train) [ 60500/120000] base_lr: 9.9707e-05 lr: 1.0882e-05 eta: 4:36:19 time: 0.2792 data_time: 0.0050 memory: 3629 grad_norm: 9.5955 loss: 2.6331 grounding_loss_reg: 2.6331
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+ 2023/11/27 06:47:29 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 06:47:29 - mmengine - INFO - Iter(train) [ 61000/120000] base_lr: 9.8411e-05 lr: 1.0765e-05 eta: 4:34:01 time: 0.2793 data_time: 0.0050 memory: 3343 grad_norm: 9.5908 loss: 2.6201 grounding_loss_reg: 2.6201
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+ 2023/11/27 06:49:49 - mmengine - INFO - Iter(train) [ 61500/120000] base_lr: 9.7116e-05 lr: 1.0647e-05 eta: 4:31:41 time: 0.2792 data_time: 0.0050 memory: 3343 grad_norm: 9.6034 loss: 2.6073 grounding_loss_reg: 2.6073
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+ 2023/11/27 06:52:08 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 06:52:08 - mmengine - INFO - Iter(train) [ 62000/120000] base_lr: 9.5821e-05 lr: 1.0529e-05 eta: 4:29:22 time: 0.2792 data_time: 0.0050 memory: 3343 grad_norm: 9.6255 loss: 2.5914 grounding_loss_reg: 2.5914
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+ 2023/11/27 06:54:28 - mmengine - INFO - Iter(train) [ 62500/120000] base_lr: 9.4528e-05 lr: 1.0412e-05 eta: 4:27:03 time: 0.2794 data_time: 0.0050 memory: 3343 grad_norm: 9.6314 loss: 2.5823 grounding_loss_reg: 2.5823
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+ 2023/11/27 06:56:48 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 06:56:48 - mmengine - INFO - Iter(train) [ 63000/120000] base_lr: 9.3235e-05 lr: 1.0294e-05 eta: 4:24:44 time: 0.2794 data_time: 0.0050 memory: 3343 grad_norm: 9.6236 loss: 2.5790 grounding_loss_reg: 2.5790
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+ 2023/11/27 06:59:08 - mmengine - INFO - Iter(train) [ 63500/120000] base_lr: 9.1944e-05 lr: 1.0177e-05 eta: 4:22:25 time: 0.2796 data_time: 0.0050 memory: 3343 grad_norm: 9.6490 loss: 2.5677 grounding_loss_reg: 2.5677
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+ 2023/11/27 07:01:27 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 07:01:27 - mmengine - INFO - Iter(train) [ 64000/120000] base_lr: 9.0654e-05 lr: 1.0059e-05 eta: 4:20:06 time: 0.2796 data_time: 0.0050 memory: 3343 grad_norm: 9.6795 loss: 2.5598 grounding_loss_reg: 2.5598
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+ 2023/11/27 07:03:48 - mmengine - INFO - Iter(train) [ 64500/120000] base_lr: 8.9366e-05 lr: 9.9424e-06 eta: 4:17:47 time: 0.2794 data_time: 0.0046 memory: 3343 grad_norm: 9.6860 loss: 2.5519 grounding_loss_reg: 2.5519
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+ 2023/11/27 07:06:07 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 07:06:07 - mmengine - INFO - Iter(train) [ 65000/120000] base_lr: 8.8080e-05 lr: 9.8255e-06 eta: 4:15:28 time: 0.2792 data_time: 0.0046 memory: 3343 grad_norm: 9.6982 loss: 2.5528 grounding_loss_reg: 2.5528
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+ 2023/11/27 07:06:22 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.7526 visual-grounding/acc: 0.8243 data_time: 0.0067 time: 0.1553
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+ 2023/11/27 07:08:41 - mmengine - INFO - Iter(train) [ 65500/120000] base_lr: 8.6797e-05 lr: 9.7088e-06 eta: 4:13:10 time: 0.2797 data_time: 0.0050 memory: 3629 grad_norm: 9.7087 loss: 2.5469 grounding_loss_reg: 2.5469
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+ 2023/11/27 07:11:01 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 07:11:01 - mmengine - INFO - Iter(train) [ 66000/120000] base_lr: 8.5516e-05 lr: 9.5923e-06 eta: 4:10:51 time: 0.2799 data_time: 0.0050 memory: 3343 grad_norm: 9.7319 loss: 2.5390 grounding_loss_reg: 2.5390
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+ 2023/11/27 07:13:21 - mmengine - INFO - Iter(train) [ 66500/120000] base_lr: 8.4237e-05 lr: 9.4761e-06 eta: 4:08:32 time: 0.2797 data_time: 0.0050 memory: 3343 grad_norm: 9.7491 loss: 2.5358 grounding_loss_reg: 2.5358
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+ 2023/11/27 07:15:41 - mmengine - INFO - Iter(train) [ 67000/120000] base_lr: 8.2961e-05 lr: 9.3601e-06 eta: 4:06:13 time: 0.2798 data_time: 0.0050 memory: 3343 grad_norm: 9.7650 loss: 2.5253 grounding_loss_reg: 2.5253
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+ 2023/11/27 07:18:01 - mmengine - INFO - Iter(train) [ 67500/120000] base_lr: 8.1689e-05 lr: 9.2444e-06 eta: 4:03:54 time: 0.2798 data_time: 0.0050 memory: 3343 grad_norm: 9.7757 loss: 2.5210 grounding_loss_reg: 2.5210
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+ 2023/11/27 07:22:41 - mmengine - INFO - Iter(train) [ 68500/120000] base_lr: 7.9153e-05 lr: 9.0140e-06 eta: 3:59:16 time: 0.2799 data_time: 0.0050 memory: 3343 grad_norm: 9.8053 loss: 2.4971 grounding_loss_reg: 2.4971
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+ 2023/11/27 07:29:41 - mmengine - INFO - Iter(train) [ 70000/120000] base_lr: 7.5379e-05 lr: 8.6709e-06 eta: 3:52:20 time: 0.2798 data_time: 0.0046 memory: 3343 grad_norm: 9.8080 loss: 2.4844 grounding_loss_reg: 2.4844
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+ 2023/11/27 07:39:27 - mmengine - INFO - Iter(train) [ 72000/120000] base_lr: 7.0410e-05 lr: 8.2191e-06 eta: 3:43:05 time: 0.2806 data_time: 0.0050 memory: 3343 grad_norm: 9.8390 loss: 2.4553 grounding_loss_reg: 2.4553
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+ 2023/11/27 07:51:06 - mmengine - INFO - Iter(train) [ 74500/120000] base_lr: 6.4317e-05 lr: 7.6652e-06 eta: 3:31:29 time: 0.2799 data_time: 0.0047 memory: 3343 grad_norm: 9.9008 loss: 2.4219 grounding_loss_reg: 2.4219
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+ 2023/11/27 07:53:26 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 07:53:26 - mmengine - INFO - Iter(train) [ 75000/120000] base_lr: 6.3117e-05 lr: 7.5561e-06 eta: 3:29:10 time: 0.2797 data_time: 0.0047 memory: 3343 grad_norm: 9.8996 loss: 2.4192 grounding_loss_reg: 2.4192
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+ 2023/11/27 07:53:41 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.7616 visual-grounding/acc: 0.8341 data_time: 0.0071 time: 0.1565
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+ 2023/11/27 07:56:00 - mmengine - INFO - Iter(train) [ 75500/120000] base_lr: 6.1923e-05 lr: 7.4475e-06 eta: 3:26:51 time: 0.2801 data_time: 0.0051 memory: 3629 grad_norm: 9.9439 loss: 2.4142 grounding_loss_reg: 2.4142
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+ 2023/11/27 07:58:20 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 07:58:20 - mmengine - INFO - Iter(train) [ 76000/120000] base_lr: 6.0735e-05 lr: 7.3396e-06 eta: 3:24:32 time: 0.2800 data_time: 0.0051 memory: 3343 grad_norm: 9.9582 loss: 2.4084 grounding_loss_reg: 2.4084
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+ 2023/11/27 08:00:40 - mmengine - INFO - Iter(train) [ 76500/120000] base_lr: 5.9555e-05 lr: 7.2323e-06 eta: 3:22:13 time: 0.2800 data_time: 0.0051 memory: 3343 grad_norm: 9.9762 loss: 2.4035 grounding_loss_reg: 2.4035
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+ 2023/11/27 08:03:00 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 08:03:00 - mmengine - INFO - Iter(train) [ 77000/120000] base_lr: 5.8382e-05 lr: 7.1256e-06 eta: 3:19:54 time: 0.2799 data_time: 0.0051 memory: 3343 grad_norm: 10.0029 loss: 2.4014 grounding_loss_reg: 2.4014
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+ 2023/11/27 08:05:19 - mmengine - INFO - Iter(train) [ 77500/120000] base_lr: 5.7216e-05 lr: 7.0196e-06 eta: 3:17:34 time: 0.2798 data_time: 0.0051 memory: 3343 grad_norm: 10.0215 loss: 2.3927 grounding_loss_reg: 2.3927
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+ 2023/11/27 08:07:39 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 08:07:39 - mmengine - INFO - Iter(train) [ 78000/120000] base_lr: 5.6057e-05 lr: 6.9143e-06 eta: 3:15:15 time: 0.2798 data_time: 0.0051 memory: 3343 grad_norm: 10.0542 loss: 2.3855 grounding_loss_reg: 2.3855
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+ 2023/11/27 08:09:59 - mmengine - INFO - Iter(train) [ 78500/120000] base_lr: 5.4906e-05 lr: 6.8097e-06 eta: 3:12:55 time: 0.2797 data_time: 0.0051 memory: 3343 grad_norm: 10.0863 loss: 2.3785 grounding_loss_reg: 2.3785
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+ 2023/11/27 08:12:18 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 08:12:18 - mmengine - INFO - Iter(train) [ 79000/120000] base_lr: 5.3764e-05 lr: 6.7058e-06 eta: 3:10:36 time: 0.2797 data_time: 0.0051 memory: 3343 grad_norm: 10.1277 loss: 2.3705 grounding_loss_reg: 2.3705
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+ 2023/11/27 08:14:38 - mmengine - INFO - Iter(train) [ 79500/120000] base_lr: 5.2629e-05 lr: 6.6026e-06 eta: 3:08:17 time: 0.2793 data_time: 0.0047 memory: 3343 grad_norm: 10.1432 loss: 2.3658 grounding_loss_reg: 2.3658
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+ 2023/11/27 08:16:58 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 08:16:58 - mmengine - INFO - Iter(train) [ 80000/120000] base_lr: 5.1502e-05 lr: 6.5002e-06 eta: 3:05:57 time: 0.2792 data_time: 0.0047 memory: 3343 grad_norm: 10.1657 loss: 2.3575 grounding_loss_reg: 2.3575
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+ 2023/11/27 08:16:58 - mmengine - INFO - Saving checkpoint at 80000 iterations
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+ 2023/11/27 08:17:22 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.7632 visual-grounding/acc: 0.8340 data_time: 0.0064 time: 0.1541
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+ 2023/11/27 08:19:42 - mmengine - INFO - Iter(train) [ 80500/120000] base_lr: 5.0384e-05 lr: 6.3986e-06 eta: 3:03:39 time: 0.2797 data_time: 0.0051 memory: 3629 grad_norm: 10.2002 loss: 2.3538 grounding_loss_reg: 2.3538
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+ 2023/11/27 08:22:01 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 08:22:01 - mmengine - INFO - Iter(train) [ 81000/120000] base_lr: 4.9275e-05 lr: 6.2977e-06 eta: 3:01:19 time: 0.2796 data_time: 0.0051 memory: 3343 grad_norm: 10.2278 loss: 2.3396 grounding_loss_reg: 2.3396
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+ 2023/11/27 08:24:22 - mmengine - INFO - Iter(train) [ 81500/120000] base_lr: 4.8174e-05 lr: 6.1977e-06 eta: 2:59:00 time: 0.2799 data_time: 0.0051 memory: 3343 grad_norm: 10.2464 loss: 2.3335 grounding_loss_reg: 2.3335
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+ 2023/11/27 08:26:50 - mmengine - INFO - Iter(train) [ 82000/120000] base_lr: 4.7083e-05 lr: 6.0984e-06 eta: 2:56:45 time: 0.2819 data_time: 0.0051 memory: 3343 grad_norm: 10.2661 loss: 2.3229 grounding_loss_reg: 2.3229
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+ 2023/11/27 08:29:10 - mmengine - INFO - Iter(train) [ 82500/120000] base_lr: 4.6001e-05 lr: 6.0001e-06 eta: 2:54:25 time: 0.2820 data_time: 0.0051 memory: 3343 grad_norm: 10.2886 loss: 2.3154 grounding_loss_reg: 2.3154
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+ 2023/11/27 08:31:30 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 08:31:30 - mmengine - INFO - Iter(train) [ 83000/120000] base_lr: 4.4928e-05 lr: 5.9025e-06 eta: 2:52:06 time: 0.2821 data_time: 0.0051 memory: 3343 grad_norm: 10.2837 loss: 2.3081 grounding_loss_reg: 2.3081
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+ 2023/11/27 08:33:50 - mmengine - INFO - Iter(train) [ 83500/120000] base_lr: 4.3865e-05 lr: 5.8059e-06 eta: 2:49:46 time: 0.2821 data_time: 0.0051 memory: 3343 grad_norm: 10.3111 loss: 2.2986 grounding_loss_reg: 2.2986
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+ 2023/11/27 08:36:10 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 08:36:10 - mmengine - INFO - Iter(train) [ 84000/120000] base_lr: 4.2811e-05 lr: 5.7101e-06 eta: 2:47:27 time: 0.2822 data_time: 0.0051 memory: 3343 grad_norm: 10.3494 loss: 2.2973 grounding_loss_reg: 2.2973
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+ 2023/11/27 08:38:30 - mmengine - INFO - Iter(train) [ 84500/120000] base_lr: 4.1768e-05 lr: 5.6153e-06 eta: 2:45:07 time: 0.2817 data_time: 0.0047 memory: 3343 grad_norm: 10.3632 loss: 2.2903 grounding_loss_reg: 2.2903
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+ 2023/11/27 08:40:50 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 08:40:50 - mmengine - INFO - Iter(train) [ 85000/120000] base_lr: 4.0735e-05 lr: 5.5213e-06 eta: 2:42:48 time: 0.2819 data_time: 0.0047 memory: 3343 grad_norm: 10.3874 loss: 2.2868 grounding_loss_reg: 2.2868
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+ 2023/11/27 08:41:04 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.7667 visual-grounding/acc: 0.8351 data_time: 0.0072 time: 0.1562
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+ 2023/11/27 08:43:25 - mmengine - INFO - Iter(train) [ 85500/120000] base_lr: 3.9712e-05 lr: 5.4283e-06 eta: 2:40:29 time: 0.2821 data_time: 0.0051 memory: 3629 grad_norm: 10.4112 loss: 2.2853 grounding_loss_reg: 2.2853
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+ 2023/11/27 08:45:44 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 08:45:44 - mmengine - INFO - Iter(train) [ 86000/120000] base_lr: 3.8699e-05 lr: 5.3363e-06 eta: 2:38:10 time: 0.2801 data_time: 0.0051 memory: 3343 grad_norm: 10.4317 loss: 2.2854 grounding_loss_reg: 2.2854
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+ 2023/11/27 08:48:05 - mmengine - INFO - Iter(train) [ 86500/120000] base_lr: 3.7698e-05 lr: 5.2452e-06 eta: 2:35:50 time: 0.2801 data_time: 0.0052 memory: 3343 grad_norm: 10.4566 loss: 2.2813 grounding_loss_reg: 2.2813
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+ 2023/11/27 08:50:24 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 08:50:24 - mmengine - INFO - Iter(train) [ 87000/120000] base_lr: 3.6707e-05 lr: 5.1551e-06 eta: 2:33:31 time: 0.2800 data_time: 0.0052 memory: 3343 grad_norm: 10.5094 loss: 2.2811 grounding_loss_reg: 2.2811
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+ 2023/11/27 08:52:44 - mmengine - INFO - Iter(train) [ 87500/120000] base_lr: 3.5727e-05 lr: 5.0661e-06 eta: 2:31:11 time: 0.2800 data_time: 0.0052 memory: 3343 grad_norm: 10.5326 loss: 2.2846 grounding_loss_reg: 2.2846
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+ 2023/11/27 08:55:04 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 08:55:04 - mmengine - INFO - Iter(train) [ 88000/120000] base_lr: 3.4758e-05 lr: 4.9780e-06 eta: 2:28:52 time: 0.2799 data_time: 0.0052 memory: 3343 grad_norm: 10.5389 loss: 2.2797 grounding_loss_reg: 2.2797
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+ 2023/11/27 08:57:23 - mmengine - INFO - Iter(train) [ 88500/120000] base_lr: 3.3801e-05 lr: 4.8910e-06 eta: 2:26:32 time: 0.2799 data_time: 0.0052 memory: 3343 grad_norm: 10.5779 loss: 2.2780 grounding_loss_reg: 2.2780
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+ 2023/11/27 08:59:43 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 08:59:43 - mmengine - INFO - Iter(train) [ 89000/120000] base_lr: 3.2855e-05 lr: 4.8050e-06 eta: 2:24:13 time: 0.2799 data_time: 0.0051 memory: 3343 grad_norm: 10.5984 loss: 2.2756 grounding_loss_reg: 2.2756
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+ 2023/11/27 09:02:03 - mmengine - INFO - Iter(train) [ 89500/120000] base_lr: 3.1921e-05 lr: 4.7201e-06 eta: 2:21:53 time: 0.2793 data_time: 0.0048 memory: 3343 grad_norm: 10.6147 loss: 2.2750 grounding_loss_reg: 2.2750
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+ 2023/11/27 09:04:23 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 09:04:23 - mmengine - INFO - Iter(train) [ 90000/120000] base_lr: 3.0998e-05 lr: 4.6362e-06 eta: 2:19:34 time: 0.2793 data_time: 0.0048 memory: 3343 grad_norm: 10.6211 loss: 2.2680 grounding_loss_reg: 2.2680
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+ 2023/11/27 09:04:23 - mmengine - INFO - Saving checkpoint at 90000 iterations
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+ 2023/11/27 09:04:47 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.7692 visual-grounding/acc: 0.8365 data_time: 0.0065 time: 0.1543
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+ 2023/11/27 09:07:07 - mmengine - INFO - Iter(train) [ 90500/120000] base_lr: 3.0088e-05 lr: 4.5534e-06 eta: 2:17:15 time: 0.2797 data_time: 0.0052 memory: 3629 grad_norm: 10.6484 loss: 2.2576 grounding_loss_reg: 2.2576
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+ 2023/11/27 09:09:27 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 09:09:27 - mmengine - INFO - Iter(train) [ 91000/120000] base_lr: 2.9190e-05 lr: 4.4718e-06 eta: 2:14:55 time: 0.2798 data_time: 0.0052 memory: 3343 grad_norm: 10.6755 loss: 2.2497 grounding_loss_reg: 2.2497
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+ 2023/11/27 09:11:47 - mmengine - INFO - Iter(train) [ 91500/120000] base_lr: 2.8304e-05 lr: 4.3913e-06 eta: 2:12:36 time: 0.2800 data_time: 0.0052 memory: 3343 grad_norm: 10.6909 loss: 2.2395 grounding_loss_reg: 2.2395
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+ 2023/11/27 09:14:07 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 09:14:07 - mmengine - INFO - Iter(train) [ 92000/120000] base_lr: 2.7430e-05 lr: 4.3119e-06 eta: 2:10:16 time: 0.2800 data_time: 0.0053 memory: 3343 grad_norm: 10.7031 loss: 2.2305 grounding_loss_reg: 2.2305
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+ 2023/11/27 09:16:28 - mmengine - INFO - Iter(train) [ 92500/120000] base_lr: 2.6570e-05 lr: 4.2336e-06 eta: 2:07:57 time: 0.2803 data_time: 0.0053 memory: 3343 grad_norm: 10.7193 loss: 2.2199 grounding_loss_reg: 2.2199
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+ 2023/11/27 09:18:48 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 09:18:48 - mmengine - INFO - Iter(train) [ 93000/120000] base_lr: 2.5721e-05 lr: 4.1565e-06 eta: 2:05:38 time: 0.2803 data_time: 0.0053 memory: 3343 grad_norm: 10.7339 loss: 2.2124 grounding_loss_reg: 2.2124
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+ 2023/11/27 09:21:09 - mmengine - INFO - Iter(train) [ 93500/120000] base_lr: 2.4886e-05 lr: 4.0806e-06 eta: 2:03:18 time: 0.2806 data_time: 0.0053 memory: 3343 grad_norm: 10.7709 loss: 2.1962 grounding_loss_reg: 2.1962
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+ 2023/11/27 09:23:29 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 09:23:29 - mmengine - INFO - Iter(train) [ 94000/120000] base_lr: 2.4064e-05 lr: 4.0058e-06 eta: 2:00:59 time: 0.2807 data_time: 0.0053 memory: 3343 grad_norm: 10.8046 loss: 2.1938 grounding_loss_reg: 2.1938
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+ 2023/11/27 09:25:49 - mmengine - INFO - Iter(train) [ 94500/120000] base_lr: 2.3255e-05 lr: 3.9323e-06 eta: 1:58:39 time: 0.2803 data_time: 0.0048 memory: 3343 grad_norm: 10.8248 loss: 2.1941 grounding_loss_reg: 2.1941
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+ 2023/11/27 09:28:10 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 09:28:10 - mmengine - INFO - Iter(train) [ 95000/120000] base_lr: 2.2460e-05 lr: 3.8600e-06 eta: 1:56:20 time: 0.2806 data_time: 0.0048 memory: 3343 grad_norm: 10.8404 loss: 2.1885 grounding_loss_reg: 2.1885
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+ 2023/11/27 09:28:25 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.7678 visual-grounding/acc: 0.8347 data_time: 0.0067 time: 0.1543
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+ 2023/11/27 09:30:45 - mmengine - INFO - Iter(train) [ 95500/120000] base_lr: 2.1677e-05 lr: 3.7889e-06 eta: 1:54:01 time: 0.2809 data_time: 0.0052 memory: 3629 grad_norm: 10.8649 loss: 2.1827 grounding_loss_reg: 2.1827
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+ 2023/11/27 09:33:06 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 09:33:06 - mmengine - INFO - Iter(train) [ 96000/120000] base_lr: 2.0909e-05 lr: 3.7190e-06 eta: 1:51:42 time: 0.2811 data_time: 0.0052 memory: 3343 grad_norm: 10.8945 loss: 2.1808 grounding_loss_reg: 2.1808
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+ 2023/11/27 09:35:27 - mmengine - INFO - Iter(train) [ 96500/120000] base_lr: 2.0154e-05 lr: 3.6504e-06 eta: 1:49:22 time: 0.2812 data_time: 0.0052 memory: 3343 grad_norm: 10.9141 loss: 2.1791 grounding_loss_reg: 2.1791
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+ 2023/11/27 09:37:47 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 09:37:47 - mmengine - INFO - Iter(train) [ 97000/120000] base_lr: 1.9413e-05 lr: 3.5830e-06 eta: 1:47:03 time: 0.2812 data_time: 0.0052 memory: 3343 grad_norm: 10.9620 loss: 2.1756 grounding_loss_reg: 2.1756
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+ 2023/11/27 09:40:08 - mmengine - INFO - Iter(train) [ 97500/120000] base_lr: 1.8686e-05 lr: 3.5169e-06 eta: 1:44:43 time: 0.2814 data_time: 0.0052 memory: 3343 grad_norm: 10.9710 loss: 2.1737 grounding_loss_reg: 2.1737
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+ 2023/11/27 09:42:29 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 09:42:29 - mmengine - INFO - Iter(train) [ 98000/120000] base_lr: 1.7973e-05 lr: 3.4521e-06 eta: 1:42:24 time: 0.2814 data_time: 0.0052 memory: 3343 grad_norm: 10.9895 loss: 2.1672 grounding_loss_reg: 2.1672
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+ 2023/11/27 09:44:50 - mmengine - INFO - Iter(train) [ 98500/120000] base_lr: 1.7274e-05 lr: 3.3886e-06 eta: 1:40:05 time: 0.2817 data_time: 0.0052 memory: 3343 grad_norm: 11.0092 loss: 2.1612 grounding_loss_reg: 2.1612
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+ 2023/11/27 09:47:10 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 09:47:10 - mmengine - INFO - Iter(train) [ 99000/120000] base_lr: 1.6590e-05 lr: 3.3264e-06 eta: 1:37:45 time: 0.2816 data_time: 0.0052 memory: 3343 grad_norm: 11.0327 loss: 2.1631 grounding_loss_reg: 2.1631
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+ 2023/11/27 09:49:31 - mmengine - INFO - Iter(train) [ 99500/120000] base_lr: 1.5920e-05 lr: 3.2655e-06 eta: 1:35:26 time: 0.2814 data_time: 0.0048 memory: 3343 grad_norm: 11.0587 loss: 2.1605 grounding_loss_reg: 2.1605
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+ 2023/11/27 09:51:53 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 09:51:53 - mmengine - INFO - Iter(train) [100000/120000] base_lr: 1.5265e-05 lr: 3.2059e-06 eta: 1:33:06 time: 0.2815 data_time: 0.0049 memory: 3343 grad_norm: 11.0725 loss: 2.1538 grounding_loss_reg: 2.1538
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+ 2023/11/27 09:51:53 - mmengine - INFO - Saving checkpoint at 100000 iterations
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+ 2023/11/27 09:52:17 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.7745 visual-grounding/acc: 0.8402 data_time: 0.0065 time: 0.1547
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+ 2023/11/27 09:54:37 - mmengine - INFO - Iter(train) [100500/120000] base_lr: 1.4624e-05 lr: 3.1477e-06 eta: 1:30:47 time: 0.2818 data_time: 0.0052 memory: 3629 grad_norm: 11.0781 loss: 2.1485 grounding_loss_reg: 2.1485
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+ 2023/11/27 09:56:59 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 09:56:59 - mmengine - INFO - Iter(train) [101000/120000] base_lr: 1.3998e-05 lr: 3.0908e-06 eta: 1:28:28 time: 0.2820 data_time: 0.0052 memory: 3343 grad_norm: 11.0803 loss: 2.1457 grounding_loss_reg: 2.1457
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+ 2023/11/27 09:59:19 - mmengine - INFO - Iter(train) [101500/120000] base_lr: 1.3387e-05 lr: 3.0352e-06 eta: 1:26:08 time: 0.2819 data_time: 0.0052 memory: 3343 grad_norm: 11.1073 loss: 2.1459 grounding_loss_reg: 2.1459
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+ 2023/11/27 10:01:40 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 10:01:40 - mmengine - INFO - Iter(train) [102000/120000] base_lr: 1.2792e-05 lr: 2.9810e-06 eta: 1:23:49 time: 0.2820 data_time: 0.0052 memory: 3343 grad_norm: 11.1421 loss: 2.1397 grounding_loss_reg: 2.1397
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+ 2023/11/27 10:04:01 - mmengine - INFO - Iter(train) [102500/120000] base_lr: 1.2211e-05 lr: 2.9282e-06 eta: 1:21:29 time: 0.2820 data_time: 0.0052 memory: 3343 grad_norm: 11.1575 loss: 2.1387 grounding_loss_reg: 2.1387
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+ 2023/11/27 10:06:22 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 10:06:22 - mmengine - INFO - Iter(train) [103000/120000] base_lr: 1.1645e-05 lr: 2.8768e-06 eta: 1:19:10 time: 0.2819 data_time: 0.0052 memory: 3343 grad_norm: 11.1585 loss: 2.1288 grounding_loss_reg: 2.1288
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+ 2023/11/27 10:08:43 - mmengine - INFO - Iter(train) [103500/120000] base_lr: 1.1095e-05 lr: 2.8268e-06 eta: 1:16:50 time: 0.2819 data_time: 0.0052 memory: 3343 grad_norm: 11.1937 loss: 2.1216 grounding_loss_reg: 2.1216
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+ 2023/11/27 10:11:03 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 10:11:03 - mmengine - INFO - Iter(train) [104000/120000] base_lr: 1.0560e-05 lr: 2.7782e-06 eta: 1:14:31 time: 0.2818 data_time: 0.0052 memory: 3343 grad_norm: 11.2329 loss: 2.1219 grounding_loss_reg: 2.1219
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+ 2023/11/27 10:13:24 - mmengine - INFO - Iter(train) [104500/120000] base_lr: 1.0041e-05 lr: 2.7310e-06 eta: 1:12:11 time: 0.2816 data_time: 0.0049 memory: 3343 grad_norm: 11.2833 loss: 2.1198 grounding_loss_reg: 2.1198
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+ 2023/11/27 10:15:45 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 10:15:45 - mmengine - INFO - Iter(train) [105000/120000] base_lr: 9.5369e-06 lr: 2.6852e-06 eta: 1:09:51 time: 0.2813 data_time: 0.0049 memory: 3343 grad_norm: 11.3027 loss: 2.1220 grounding_loss_reg: 2.1220
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+ 2023/11/27 10:16:00 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.7754 visual-grounding/acc: 0.8407 data_time: 0.0067 time: 0.1545
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+ 2023/11/27 10:18:20 - mmengine - INFO - Iter(train) [105500/120000] base_lr: 9.0488e-06 lr: 2.6408e-06 eta: 1:07:32 time: 0.2816 data_time: 0.0052 memory: 3629 grad_norm: 11.3079 loss: 2.1186 grounding_loss_reg: 2.1186
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+ 2023/11/27 10:20:40 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 10:20:40 - mmengine - INFO - Iter(train) [106000/120000] base_lr: 8.5765e-06 lr: 2.5979e-06 eta: 1:05:12 time: 0.2815 data_time: 0.0053 memory: 3343 grad_norm: 11.3474 loss: 2.1200 grounding_loss_reg: 2.1200
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+ 2023/11/27 10:23:00 - mmengine - INFO - Iter(train) [106500/120000] base_lr: 8.1200e-06 lr: 2.5564e-06 eta: 1:02:52 time: 0.2812 data_time: 0.0052 memory: 3343 grad_norm: 11.3743 loss: 2.1167 grounding_loss_reg: 2.1167
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+ 2023/11/27 10:25:21 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 10:25:21 - mmengine - INFO - Iter(train) [107000/120000] base_lr: 7.6794e-06 lr: 2.5163e-06 eta: 1:00:33 time: 0.2813 data_time: 0.0052 memory: 3343 grad_norm: 11.4000 loss: 2.1189 grounding_loss_reg: 2.1189
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+ 2023/11/27 10:25:51 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 10:27:41 - mmengine - INFO - Iter(train) [107500/120000] base_lr: 7.2548e-06 lr: 2.4777e-06 eta: 0:58:13 time: 0.2810 data_time: 0.0052 memory: 3343 grad_norm: 11.4055 loss: 2.1188 grounding_loss_reg: 2.1188
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+ 2023/11/27 10:30:01 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 10:30:01 - mmengine - INFO - Iter(train) [108000/120000] base_lr: 6.8462e-06 lr: 2.4406e-06 eta: 0:55:53 time: 0.2809 data_time: 0.0053 memory: 3343 grad_norm: 11.4220 loss: 2.1131 grounding_loss_reg: 2.1131
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+ 2023/11/27 10:32:22 - mmengine - INFO - Iter(train) [108500/120000] base_lr: 6.4538e-06 lr: 2.4049e-06 eta: 0:53:34 time: 0.2809 data_time: 0.0053 memory: 3343 grad_norm: 11.4296 loss: 2.1061 grounding_loss_reg: 2.1061
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+ 2023/11/27 10:34:42 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 10:34:42 - mmengine - INFO - Iter(train) [109000/120000] base_lr: 6.0776e-06 lr: 2.3707e-06 eta: 0:51:14 time: 0.2808 data_time: 0.0053 memory: 3343 grad_norm: 11.4583 loss: 2.0991 grounding_loss_reg: 2.0991
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+ 2023/11/27 10:37:03 - mmengine - INFO - Iter(train) [109500/120000] base_lr: 5.7176e-06 lr: 2.3380e-06 eta: 0:48:54 time: 0.2805 data_time: 0.0049 memory: 3343 grad_norm: 11.4887 loss: 2.0973 grounding_loss_reg: 2.0973
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+ 2023/11/27 10:39:23 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 10:39:23 - mmengine - INFO - Iter(train) [110000/120000] base_lr: 5.3740e-06 lr: 2.3067e-06 eta: 0:46:35 time: 0.2804 data_time: 0.0049 memory: 3343 grad_norm: 11.4998 loss: 2.0916 grounding_loss_reg: 2.0916
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+ 2023/11/27 10:39:23 - mmengine - INFO - Saving checkpoint at 110000 iterations
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+ 2023/11/27 10:39:47 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.7763 visual-grounding/acc: 0.8408 data_time: 0.0071 time: 0.1573
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+ 2023/11/27 10:42:08 - mmengine - INFO - Iter(train) [110500/120000] base_lr: 5.0468e-06 lr: 2.2770e-06 eta: 0:44:15 time: 0.2809 data_time: 0.0053 memory: 3629 grad_norm: 11.5160 loss: 2.0884 grounding_loss_reg: 2.0884
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+ 2023/11/27 10:44:28 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 10:44:28 - mmengine - INFO - Iter(train) [111000/120000] base_lr: 4.7360e-06 lr: 2.2487e-06 eta: 0:41:55 time: 0.2809 data_time: 0.0053 memory: 3343 grad_norm: 11.5468 loss: 2.0830 grounding_loss_reg: 2.0830
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+ 2023/11/27 10:46:48 - mmengine - INFO - Iter(train) [111500/120000] base_lr: 4.4417e-06 lr: 2.2220e-06 eta: 0:39:36 time: 0.2809 data_time: 0.0053 memory: 3343 grad_norm: 11.5783 loss: 2.0789 grounding_loss_reg: 2.0789
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+ 2023/11/27 10:49:09 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 10:49:09 - mmengine - INFO - Iter(train) [112000/120000] base_lr: 4.1639e-06 lr: 2.1967e-06 eta: 0:37:16 time: 0.2810 data_time: 0.0053 memory: 3343 grad_norm: 11.5907 loss: 2.0767 grounding_loss_reg: 2.0767
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+ 2023/11/27 10:51:29 - mmengine - INFO - Iter(train) [112500/120000] base_lr: 3.9028e-06 lr: 2.1730e-06 eta: 0:34:56 time: 0.2808 data_time: 0.0053 memory: 3343 grad_norm: 11.6020 loss: 2.0788 grounding_loss_reg: 2.0788
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+ 2023/11/27 10:53:50 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 10:53:50 - mmengine - INFO - Iter(train) [113000/120000] base_lr: 3.6582e-06 lr: 2.1507e-06 eta: 0:32:36 time: 0.2809 data_time: 0.0053 memory: 3343 grad_norm: 11.6087 loss: 2.0742 grounding_loss_reg: 2.0742
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+ 2023/11/27 10:56:10 - mmengine - INFO - Iter(train) [113500/120000] base_lr: 3.4304e-06 lr: 2.1300e-06 eta: 0:30:17 time: 0.2807 data_time: 0.0053 memory: 3343 grad_norm: 11.6214 loss: 2.0688 grounding_loss_reg: 2.0688
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+ 2023/11/27 10:58:30 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 10:58:30 - mmengine - INFO - Iter(train) [114000/120000] base_lr: 3.2193e-06 lr: 2.1108e-06 eta: 0:27:57 time: 0.2808 data_time: 0.0053 memory: 3343 grad_norm: 11.6052 loss: 2.0720 grounding_loss_reg: 2.0720
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+ 2023/11/27 11:00:50 - mmengine - INFO - Iter(train) [114500/120000] base_lr: 3.0249e-06 lr: 2.0932e-06 eta: 0:25:37 time: 0.2804 data_time: 0.0049 memory: 3343 grad_norm: 11.6073 loss: 2.0714 grounding_loss_reg: 2.0714
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+ 2023/11/27 11:03:10 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 11:03:10 - mmengine - INFO - Iter(train) [115000/120000] base_lr: 2.8473e-06 lr: 2.0770e-06 eta: 0:23:17 time: 0.2803 data_time: 0.0049 memory: 3343 grad_norm: 11.6044 loss: 2.0605 grounding_loss_reg: 2.0605
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+ 2023/11/27 11:03:25 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.7771 visual-grounding/acc: 0.8418 data_time: 0.0068 time: 0.1561
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+ 2023/11/27 11:05:46 - mmengine - INFO - Iter(train) [115500/120000] base_lr: 2.6865e-06 lr: 2.0624e-06 eta: 0:20:58 time: 0.2808 data_time: 0.0053 memory: 3629 grad_norm: 11.6120 loss: 2.0591 grounding_loss_reg: 2.0591
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+ 2023/11/27 11:08:06 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 11:08:06 - mmengine - INFO - Iter(train) [116000/120000] base_lr: 2.5426e-06 lr: 2.0493e-06 eta: 0:18:38 time: 0.2806 data_time: 0.0053 memory: 3343 grad_norm: 11.6407 loss: 2.0592 grounding_loss_reg: 2.0592
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+ 2023/11/27 11:10:26 - mmengine - INFO - Iter(train) [116500/120000] base_lr: 2.4155e-06 lr: 2.0378e-06 eta: 0:16:18 time: 0.2806 data_time: 0.0053 memory: 3343 grad_norm: 11.6439 loss: 2.0572 grounding_loss_reg: 2.0572
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+ 2023/11/27 11:12:46 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 11:12:46 - mmengine - INFO - Iter(train) [117000/120000] base_lr: 2.3054e-06 lr: 2.0278e-06 eta: 0:13:58 time: 0.2805 data_time: 0.0053 memory: 3343 grad_norm: 11.6479 loss: 2.0526 grounding_loss_reg: 2.0526
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+ 2023/11/27 11:15:05 - mmengine - INFO - Iter(train) [117500/120000] base_lr: 2.2121e-06 lr: 2.0193e-06 eta: 0:11:38 time: 0.2804 data_time: 0.0053 memory: 3343 grad_norm: 11.6566 loss: 2.0495 grounding_loss_reg: 2.0495
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+ 2023/11/27 11:17:25 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 11:17:25 - mmengine - INFO - Iter(train) [118000/120000] base_lr: 2.1358e-06 lr: 2.0123e-06 eta: 0:09:19 time: 0.2803 data_time: 0.0053 memory: 3343 grad_norm: 11.6876 loss: 2.0455 grounding_loss_reg: 2.0455
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+ 2023/11/27 11:19:45 - mmengine - INFO - Iter(train) [118500/120000] base_lr: 2.0764e-06 lr: 2.0069e-06 eta: 0:06:59 time: 0.2801 data_time: 0.0053 memory: 3343 grad_norm: 11.7022 loss: 2.0428 grounding_loss_reg: 2.0428
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+ 2023/11/27 11:22:05 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 11:22:05 - mmengine - INFO - Iter(train) [119000/120000] base_lr: 2.0340e-06 lr: 2.0031e-06 eta: 0:04:39 time: 0.2801 data_time: 0.0053 memory: 3343 grad_norm: 11.7022 loss: 2.0490 grounding_loss_reg: 2.0490
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+ 2023/11/27 11:24:25 - mmengine - INFO - Iter(train) [119500/120000] base_lr: 2.0085e-06 lr: 2.0008e-06 eta: 0:02:19 time: 0.2795 data_time: 0.0049 memory: 3343 grad_norm: 11.6980 loss: 2.0506 grounding_loss_reg: 2.0506
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+ 2023/11/27 11:26:45 - mmengine - INFO - Exp name: univision_single_visualgrounding_base_20231127_015919
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+ 2023/11/27 11:26:45 - mmengine - INFO - Iter(train) [120000/120000] base_lr: 2.0000e-06 lr: 2.0000e-06 eta: 0:00:00 time: 0.2795 data_time: 0.0049 memory: 3343 grad_norm: 11.6844 loss: 2.0500 grounding_loss_reg: 2.0500
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+ 2023/11/27 11:26:45 - mmengine - INFO - Saving checkpoint at 120000 iterations
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+ 2023/11/27 11:27:09 - mmengine - INFO - Iter(val) [85/85] visual-grounding/miou: 0.7766 visual-grounding/acc: 0.8416 data_time: 0.0065 time: 0.1533
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