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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
2023/11/27 02:02:26 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 02:06:07 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 02:09:49 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 02:13:35 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 02:17:17 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
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
2023/11/27 02:22:28 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 02:26:11 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 02:29:54 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 02:33:37 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 02:37:21 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
2023/11/27 02:37:21 - mmengine - INFO - Saving checkpoint at 10000 iterations
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
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
2023/11/27 02:42:09 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 02:45:52 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 02:49:36 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 02:53:20 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 02:57:04 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
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
2023/11/27 03:02:16 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 03:06:00 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 03:09:44 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 03:13:28 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 03:17:12 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
2023/11/27 03:17:12 - mmengine - INFO - Saving checkpoint at 20000 iterations
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
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
2023/11/27 03:22:25 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 03:26:08 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 03:29:52 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 03:33:36 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 03:37:20 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
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
2023/11/27 03:41:57 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 03:45:40 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
2023/11/27 03:47:32 - mmengine - INFO - Iter(train) [ 27500/120000] base_lr: 1.7543e-04 lr: 1.7767e-05 eta: 6:00:08 time: 0.2328 data_time: 0.0130 memory: 3339 grad_norm: 4.8420 loss: 2.2585 caption_loss_cls: 2.2585
2023/11/27 03:49:24 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 03:49:24 - mmengine - INFO - Iter(train) [ 28000/120000] base_lr: 1.7457e-04 lr: 1.7688e-05 eta: 5:57:54 time: 0.2328 data_time: 0.0130 memory: 3339 grad_norm: 4.8338 loss: 2.2554 caption_loss_cls: 2.2554
2023/11/27 03:51:16 - mmengine - INFO - Iter(train) [ 28500/120000] base_lr: 1.7370e-04 lr: 1.7609e-05 eta: 5:55:42 time: 0.2326 data_time: 0.0130 memory: 3339 grad_norm: 4.8076 loss: 2.2580 caption_loss_cls: 2.2580
2023/11/27 03:53:08 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 03:53:08 - mmengine - INFO - Iter(train) [ 29000/120000] base_lr: 1.7281e-04 lr: 1.7529e-05 eta: 5:53:31 time: 0.2327 data_time: 0.0130 memory: 3339 grad_norm: 4.9062 loss: 2.2606 caption_loss_cls: 2.2606
2023/11/27 03:55:00 - mmengine - INFO - Iter(train) [ 29500/120000] base_lr: 1.7192e-04 lr: 1.7447e-05 eta: 5:51:21 time: 0.2236 data_time: 0.0039 memory: 3339 grad_norm: 4.9693 loss: 2.2542 caption_loss_cls: 2.2542
2023/11/27 03:56:52 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 03:56:52 - mmengine - INFO - Iter(train) [ 30000/120000] base_lr: 1.7101e-04 lr: 1.7364e-05 eta: 5:49:11 time: 0.2238 data_time: 0.0039 memory: 3339 grad_norm: 5.0543 loss: 2.2604 caption_loss_cls: 2.2604
2023/11/27 03:56:52 - mmengine - INFO - Saving checkpoint at 30000 iterations
2023/11/27 03:57:58 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.6998 Bleu_2: 0.5178 Bleu_3: 0.3787 Bleu_4: 0.2773 METEOR: 0.2427 ROUGE_L: 0.5150 CIDEr: 0.8753 SPICE: 0.1693 data_time: 0.0120 time: 0.4129
2023/11/27 03:59:50 - mmengine - INFO - Iter(train) [ 30500/120000] base_lr: 1.7008e-04 lr: 1.7280e-05 eta: 5:49:03 time: 0.2341 data_time: 0.0142 memory: 3989 grad_norm: 5.1004 loss: 2.2595 caption_loss_cls: 2.2595
2023/11/27 04:01:43 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 04:01:43 - mmengine - INFO - Iter(train) [ 31000/120000] base_lr: 1.6915e-04 lr: 1.7195e-05 eta: 5:46:52 time: 0.2342 data_time: 0.0142 memory: 3339 grad_norm: 5.1180 loss: 2.2499 caption_loss_cls: 2.2499
2023/11/27 04:03:35 - mmengine - INFO - Iter(train) [ 31500/120000] base_lr: 1.6820e-04 lr: 1.7109e-05 eta: 5:44:41 time: 0.2342 data_time: 0.0142 memory: 3339 grad_norm: 5.0334 loss: 2.2484 caption_loss_cls: 2.2484
2023/11/27 04:05:27 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 04:05:27 - mmengine - INFO - Iter(train) [ 32000/120000] base_lr: 1.6725e-04 lr: 1.7022e-05 eta: 5:42:31 time: 0.2343 data_time: 0.0142 memory: 3339 grad_norm: 4.9891 loss: 2.2500 caption_loss_cls: 2.2500
2023/11/27 04:07:19 - mmengine - INFO - Iter(train) [ 32500/120000] base_lr: 1.6628e-04 lr: 1.6934e-05 eta: 5:40:22 time: 0.2345 data_time: 0.0142 memory: 3339 grad_norm: 4.9178 loss: 2.2423 caption_loss_cls: 2.2423
2023/11/27 04:09:11 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 04:09:11 - mmengine - INFO - Iter(train) [ 33000/120000] base_lr: 1.6530e-04 lr: 1.6845e-05 eta: 5:38:13 time: 0.2345 data_time: 0.0142 memory: 3339 grad_norm: 4.7692 loss: 2.2418 caption_loss_cls: 2.2418
2023/11/27 04:11:03 - mmengine - INFO - Iter(train) [ 33500/120000] base_lr: 1.6431e-04 lr: 1.6755e-05 eta: 5:36:05 time: 0.2345 data_time: 0.0142 memory: 3339 grad_norm: 4.7251 loss: 2.2468 caption_loss_cls: 2.2468
2023/11/27 04:12:55 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 04:12:55 - mmengine - INFO - Iter(train) [ 34000/120000] base_lr: 1.6330e-04 lr: 1.6664e-05 eta: 5:33:57 time: 0.2345 data_time: 0.0142 memory: 3339 grad_norm: 4.7255 loss: 2.2303 caption_loss_cls: 2.2303
2023/11/27 04:14:48 - mmengine - INFO - Iter(train) [ 34500/120000] base_lr: 1.6229e-04 lr: 1.6572e-05 eta: 5:31:50 time: 0.2242 data_time: 0.0039 memory: 3339 grad_norm: 4.6839 loss: 2.2304 caption_loss_cls: 2.2304
2023/11/27 04:16:40 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 04:16:40 - mmengine - INFO - Iter(train) [ 35000/120000] base_lr: 1.6127e-04 lr: 1.6479e-05 eta: 5:29:43 time: 0.2242 data_time: 0.0039 memory: 3339 grad_norm: 4.6487 loss: 2.2336 caption_loss_cls: 2.2336
2023/11/27 04:17:44 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.7045 Bleu_2: 0.5261 Bleu_3: 0.3853 Bleu_4: 0.2802 METEOR: 0.2409 ROUGE_L: 0.5163 CIDEr: 0.8741 SPICE: 0.1681 data_time: 0.0091 time: 0.4098
2023/11/27 04:19:35 - mmengine - INFO - Iter(train) [ 35500/120000] base_lr: 1.6024e-04 lr: 1.6385e-05 eta: 5:29:28 time: 0.2360 data_time: 0.0158 memory: 3989 grad_norm: 4.6408 loss: 2.2335 caption_loss_cls: 2.2335
2023/11/27 04:21:28 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 04:21:28 - mmengine - INFO - Iter(train) [ 36000/120000] base_lr: 1.5919e-04 lr: 1.6290e-05 eta: 5:27:20 time: 0.2360 data_time: 0.0158 memory: 3339 grad_norm: 4.7325 loss: 2.2264 caption_loss_cls: 2.2264
2023/11/27 04:23:20 - mmengine - INFO - Iter(train) [ 36500/120000] base_lr: 1.5814e-04 lr: 1.6194e-05 eta: 5:25:12 time: 0.2360 data_time: 0.0158 memory: 3339 grad_norm: 4.7694 loss: 2.2262 caption_loss_cls: 2.2262
2023/11/27 04:25:12 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 04:25:12 - mmengine - INFO - Iter(train) [ 37000/120000] base_lr: 1.5708e-04 lr: 1.6098e-05 eta: 5:23:04 time: 0.2359 data_time: 0.0158 memory: 3339 grad_norm: 4.8449 loss: 2.2224 caption_loss_cls: 2.2224
2023/11/27 04:27:04 - mmengine - INFO - Iter(train) [ 37500/120000] base_lr: 1.5600e-04 lr: 1.6000e-05 eta: 5:20:57 time: 0.2359 data_time: 0.0158 memory: 3339 grad_norm: 4.8677 loss: 2.2169 caption_loss_cls: 2.2169
2023/11/27 04:28:55 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 04:28:55 - mmengine - INFO - Iter(train) [ 38000/120000] base_lr: 1.5492e-04 lr: 1.5902e-05 eta: 5:18:50 time: 0.2358 data_time: 0.0158 memory: 3339 grad_norm: 4.8880 loss: 2.2145 caption_loss_cls: 2.2145
2023/11/27 04:30:48 - mmengine - INFO - Iter(train) [ 38500/120000] base_lr: 1.5383e-04 lr: 1.5803e-05 eta: 5:16:43 time: 0.2359 data_time: 0.0158 memory: 3339 grad_norm: 4.9664 loss: 2.2062 caption_loss_cls: 2.2062
2023/11/27 04:32:40 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 04:32:40 - mmengine - INFO - Iter(train) [ 39000/120000] base_lr: 1.5273e-04 lr: 1.5703e-05 eta: 5:14:38 time: 0.2359 data_time: 0.0158 memory: 3339 grad_norm: 5.0628 loss: 2.1944 caption_loss_cls: 2.1944
2023/11/27 04:34:32 - mmengine - INFO - Iter(train) [ 39500/120000] base_lr: 1.5162e-04 lr: 1.5602e-05 eta: 5:12:32 time: 0.2241 data_time: 0.0039 memory: 3339 grad_norm: 5.2496 loss: 2.1909 caption_loss_cls: 2.1909
2023/11/27 04:36:24 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 04:36:24 - mmengine - INFO - Iter(train) [ 40000/120000] base_lr: 1.5050e-04 lr: 1.5500e-05 eta: 5:10:27 time: 0.2241 data_time: 0.0039 memory: 3339 grad_norm: 5.3013 loss: 2.1808 caption_loss_cls: 2.1808
2023/11/27 04:36:24 - mmengine - INFO - Saving checkpoint at 40000 iterations
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
2023/11/27 04:39:33 - mmengine - INFO - Iter(train) [ 40500/120000] base_lr: 1.4938e-04 lr: 1.5398e-05 eta: 5:10:04 time: 0.2371 data_time: 0.0168 memory: 3989 grad_norm: 5.4749 loss: 2.1785 caption_loss_cls: 2.1785
2023/11/27 04:41:25 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 04:41:25 - mmengine - INFO - Iter(train) [ 41000/120000] base_lr: 1.4824e-04 lr: 1.5295e-05 eta: 5:07:57 time: 0.2371 data_time: 0.0168 memory: 3339 grad_norm: 5.5011 loss: 2.1716 caption_loss_cls: 2.1716
2023/11/27 04:43:17 - mmengine - INFO - Iter(train) [ 41500/120000] base_lr: 1.4710e-04 lr: 1.5191e-05 eta: 5:05:51 time: 0.2372 data_time: 0.0168 memory: 3339 grad_norm: 5.5451 loss: 2.1678 caption_loss_cls: 2.1678
2023/11/27 04:45:09 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 04:45:10 - mmengine - INFO - Iter(train) [ 42000/120000] base_lr: 1.4595e-04 lr: 1.5086e-05 eta: 5:03:45 time: 0.2372 data_time: 0.0168 memory: 3339 grad_norm: 5.5625 loss: 2.1733 caption_loss_cls: 2.1733
2023/11/27 04:47:02 - mmengine - INFO - Iter(train) [ 42500/120000] base_lr: 1.4479e-04 lr: 1.4981e-05 eta: 5:01:40 time: 0.2372 data_time: 0.0168 memory: 3339 grad_norm: 5.4983 loss: 2.1823 caption_loss_cls: 2.1823
2023/11/27 04:48:54 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 04:48:54 - mmengine - INFO - Iter(train) [ 43000/120000] base_lr: 1.4362e-04 lr: 1.4875e-05 eta: 4:59:35 time: 0.2372 data_time: 0.0168 memory: 3339 grad_norm: 5.4835 loss: 2.1887 caption_loss_cls: 2.1887
2023/11/27 04:50:46 - mmengine - INFO - Iter(train) [ 43500/120000] base_lr: 1.4245e-04 lr: 1.4768e-05 eta: 4:57:30 time: 0.2372 data_time: 0.0168 memory: 3339 grad_norm: 5.3820 loss: 2.1923 caption_loss_cls: 2.1923
2023/11/27 04:52:38 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 04:52:38 - mmengine - INFO - Iter(train) [ 44000/120000] base_lr: 1.4127e-04 lr: 1.4661e-05 eta: 4:55:26 time: 0.2372 data_time: 0.0168 memory: 3339 grad_norm: 5.3017 loss: 2.1942 caption_loss_cls: 2.1942
2023/11/27 04:54:30 - mmengine - INFO - Iter(train) [ 44500/120000] base_lr: 1.4008e-04 lr: 1.4553e-05 eta: 4:53:22 time: 0.2243 data_time: 0.0039 memory: 3339 grad_norm: 5.1517 loss: 2.1960 caption_loss_cls: 2.1960
2023/11/27 04:56:22 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 04:56:22 - mmengine - INFO - Iter(train) [ 45000/120000] base_lr: 1.3889e-04 lr: 1.4444e-05 eta: 4:51:17 time: 0.2243 data_time: 0.0039 memory: 3339 grad_norm: 5.1475 loss: 2.1990 caption_loss_cls: 2.1990
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
2023/11/27 04:59:28 - mmengine - INFO - Iter(train) [ 45500/120000] base_lr: 1.3769e-04 lr: 1.4335e-05 eta: 4:50:47 time: 0.2384 data_time: 0.0182 memory: 3989 grad_norm: 5.1071 loss: 2.1920 caption_loss_cls: 2.1920
2023/11/27 05:01:20 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 05:01:20 - mmengine - INFO - Iter(train) [ 46000/120000] base_lr: 1.3648e-04 lr: 1.4226e-05 eta: 4:48:41 time: 0.2384 data_time: 0.0182 memory: 3339 grad_norm: 5.0219 loss: 2.1869 caption_loss_cls: 2.1869
2023/11/27 05:03:12 - mmengine - INFO - Iter(train) [ 46500/120000] base_lr: 1.3527e-04 lr: 1.4115e-05 eta: 4:46:36 time: 0.2383 data_time: 0.0182 memory: 3339 grad_norm: 4.9369 loss: 2.1772 caption_loss_cls: 2.1772
2023/11/27 05:05:04 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 05:05:04 - mmengine - INFO - Iter(train) [ 47000/120000] base_lr: 1.3405e-04 lr: 1.4004e-05 eta: 4:44:31 time: 0.2382 data_time: 0.0182 memory: 3339 grad_norm: 4.8377 loss: 2.1700 caption_loss_cls: 2.1700
2023/11/27 05:06:56 - mmengine - INFO - Iter(train) [ 47500/120000] base_lr: 1.3282e-04 lr: 1.3893e-05 eta: 4:42:27 time: 0.2383 data_time: 0.0183 memory: 3339 grad_norm: 4.7490 loss: 2.1506 caption_loss_cls: 2.1506
2023/11/27 05:08:48 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 05:08:48 - mmengine - INFO - Iter(train) [ 48000/120000] base_lr: 1.3160e-04 lr: 1.3781e-05 eta: 4:40:23 time: 0.2383 data_time: 0.0183 memory: 3339 grad_norm: 4.7509 loss: 2.1345 caption_loss_cls: 2.1345
2023/11/27 05:10:40 - mmengine - INFO - Iter(train) [ 48500/120000] base_lr: 1.3036e-04 lr: 1.3669e-05 eta: 4:38:19 time: 0.2382 data_time: 0.0183 memory: 3339 grad_norm: 4.7677 loss: 2.1075 caption_loss_cls: 2.1075
2023/11/27 05:12:32 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 05:12:32 - mmengine - INFO - Iter(train) [ 49000/120000] base_lr: 1.2912e-04 lr: 1.3556e-05 eta: 4:36:15 time: 0.2382 data_time: 0.0183 memory: 3339 grad_norm: 4.6938 loss: 2.0856 caption_loss_cls: 2.0856
2023/11/27 05:14:25 - mmengine - INFO - Iter(train) [ 49500/120000] base_lr: 1.2788e-04 lr: 1.3443e-05 eta: 4:34:12 time: 0.2241 data_time: 0.0040 memory: 3339 grad_norm: 4.6047 loss: 2.0701 caption_loss_cls: 2.0701
2023/11/27 05:16:17 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 05:16:17 - mmengine - INFO - Iter(train) [ 50000/120000] base_lr: 1.2663e-04 lr: 1.3330e-05 eta: 4:32:09 time: 0.2241 data_time: 0.0040 memory: 3339 grad_norm: 4.6046 loss: 2.0509 caption_loss_cls: 2.0509
2023/11/27 05:16:17 - mmengine - INFO - Saving checkpoint at 50000 iterations
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
2023/11/27 05:19:40 - mmengine - INFO - Iter(train) [ 50500/120000] base_lr: 1.2537e-04 lr: 1.3216e-05 eta: 4:31:37 time: 0.2407 data_time: 0.0206 memory: 3989 grad_norm: 4.6688 loss: 2.0284 caption_loss_cls: 2.0284
2023/11/27 05:21:33 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 05:21:33 - mmengine - INFO - Iter(train) [ 51000/120000] base_lr: 1.2411e-04 lr: 1.3101e-05 eta: 4:29:33 time: 0.2408 data_time: 0.0206 memory: 3339 grad_norm: 4.6748 loss: 2.0167 caption_loss_cls: 2.0167
2023/11/27 05:23:24 - mmengine - INFO - Iter(train) [ 51500/120000] base_lr: 1.2285e-04 lr: 1.2987e-05 eta: 4:27:29 time: 0.2407 data_time: 0.0206 memory: 3339 grad_norm: 4.7053 loss: 2.0112 caption_loss_cls: 2.0112
2023/11/27 05:25:16 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 05:25:16 - mmengine - INFO - Iter(train) [ 52000/120000] base_lr: 1.2159e-04 lr: 1.2871e-05 eta: 4:25:25 time: 0.2406 data_time: 0.0206 memory: 3339 grad_norm: 4.6448 loss: 2.0139 caption_loss_cls: 2.0139
2023/11/27 05:27:08 - mmengine - INFO - Iter(train) [ 52500/120000] base_lr: 1.2032e-04 lr: 1.2756e-05 eta: 4:23:21 time: 0.2406 data_time: 0.0206 memory: 3339 grad_norm: 4.5960 loss: 2.0127 caption_loss_cls: 2.0127
2023/11/27 05:29:00 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 05:29:00 - mmengine - INFO - Iter(train) [ 53000/120000] base_lr: 1.1904e-04 lr: 1.2640e-05 eta: 4:21:17 time: 0.2406 data_time: 0.0206 memory: 3339 grad_norm: 4.6175 loss: 2.0124 caption_loss_cls: 2.0124
2023/11/27 05:30:52 - mmengine - INFO - Iter(train) [ 53500/120000] base_lr: 1.1777e-04 lr: 1.2524e-05 eta: 4:19:14 time: 0.2404 data_time: 0.0206 memory: 3339 grad_norm: 4.6951 loss: 2.0185 caption_loss_cls: 2.0185
2023/11/27 05:32:44 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 05:32:44 - mmengine - INFO - Iter(train) [ 54000/120000] base_lr: 1.1649e-04 lr: 1.2408e-05 eta: 4:17:11 time: 0.2404 data_time: 0.0206 memory: 3339 grad_norm: 4.7426 loss: 2.0192 caption_loss_cls: 2.0192
2023/11/27 05:34:40 - mmengine - INFO - Iter(train) [ 54500/120000] base_lr: 1.1521e-04 lr: 1.2292e-05 eta: 4:15:13 time: 0.2248 data_time: 0.0040 memory: 3339 grad_norm: 4.7930 loss: 2.0240 caption_loss_cls: 2.0240
2023/11/27 05:36:32 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 05:36:32 - mmengine - INFO - Iter(train) [ 55000/120000] base_lr: 1.1392e-04 lr: 1.2175e-05 eta: 4:13:10 time: 0.2248 data_time: 0.0040 memory: 3339 grad_norm: 4.9273 loss: 2.0287 caption_loss_cls: 2.0287
2023/11/27 05:37:24 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.7162 Bleu_2: 0.5395 Bleu_3: 0.3999 Bleu_4: 0.2955 METEOR: 0.2518 ROUGE_L: 0.5306 CIDEr: 0.9504 SPICE: 0.1787 data_time: 0.0081 time: 0.4071
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2023/11/27 05:41:08 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 05:41:08 - mmengine - INFO - Iter(train) [ 56000/120000] base_lr: 1.1135e-04 lr: 1.1941e-05 eta: 4:09:46 time: 0.2338 data_time: 0.0129 memory: 3339 grad_norm: 5.2709 loss: 2.0344 caption_loss_cls: 2.0344
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2023/11/27 05:44:53 - mmengine - INFO - Iter(train) [ 57000/120000] base_lr: 1.0877e-04 lr: 1.1706e-05 eta: 4:05:41 time: 0.2339 data_time: 0.0130 memory: 3339 grad_norm: 5.4907 loss: 2.0455 caption_loss_cls: 2.0455
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2023/11/27 05:48:37 - mmengine - INFO - Iter(train) [ 58000/120000] base_lr: 1.0618e-04 lr: 1.1471e-05 eta: 4:01:37 time: 0.2342 data_time: 0.0129 memory: 3339 grad_norm: 5.6678 loss: 2.0382 caption_loss_cls: 2.0382
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2023/11/27 05:52:22 - mmengine - INFO - Iter(train) [ 59000/120000] base_lr: 1.0359e-04 lr: 1.1236e-05 eta: 3:57:33 time: 0.2332 data_time: 0.0130 memory: 3339 grad_norm: 5.5066 loss: 2.0262 caption_loss_cls: 2.0262
2023/11/27 05:54:14 - mmengine - INFO - Iter(train) [ 59500/120000] base_lr: 1.0230e-04 lr: 1.1118e-05 eta: 3:55:32 time: 0.2243 data_time: 0.0040 memory: 3339 grad_norm: 5.3146 loss: 2.0208 caption_loss_cls: 2.0208
2023/11/27 05:56:06 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 05:56:06 - mmengine - INFO - Iter(train) [ 60000/120000] base_lr: 1.0100e-04 lr: 1.1000e-05 eta: 3:53:30 time: 0.2244 data_time: 0.0040 memory: 3339 grad_norm: 5.1911 loss: 2.0202 caption_loss_cls: 2.0202
2023/11/27 05:56:06 - mmengine - INFO - Saving checkpoint at 60000 iterations
2023/11/27 05:57:28 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.7152 Bleu_2: 0.5416 Bleu_3: 0.4019 Bleu_4: 0.2965 METEOR: 0.2540 ROUGE_L: 0.5297 CIDEr: 0.9564 SPICE: 0.1805 data_time: 0.0088 time: 0.4100
2023/11/27 05:59:20 - mmengine - INFO - Iter(train) [ 60500/120000] base_lr: 9.9707e-05 lr: 1.0882e-05 eta: 3:52:25 time: 0.2386 data_time: 0.0181 memory: 3989 grad_norm: 5.0338 loss: 2.0147 caption_loss_cls: 2.0147
2023/11/27 06:01:13 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 06:01:13 - mmengine - INFO - Iter(train) [ 61000/120000] base_lr: 9.8411e-05 lr: 1.0765e-05 eta: 3:50:23 time: 0.2386 data_time: 0.0181 memory: 3339 grad_norm: 4.8895 loss: 2.0137 caption_loss_cls: 2.0137
2023/11/27 06:03:05 - mmengine - INFO - Iter(train) [ 61500/120000] base_lr: 9.7116e-05 lr: 1.0647e-05 eta: 3:48:21 time: 0.2387 data_time: 0.0181 memory: 3339 grad_norm: 4.6761 loss: 2.0170 caption_loss_cls: 2.0170
2023/11/27 06:04:58 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 06:04:58 - mmengine - INFO - Iter(train) [ 62000/120000] base_lr: 9.5821e-05 lr: 1.0529e-05 eta: 3:46:20 time: 0.2388 data_time: 0.0181 memory: 3339 grad_norm: 4.5339 loss: 2.0124 caption_loss_cls: 2.0124
2023/11/27 06:06:51 - mmengine - INFO - Iter(train) [ 62500/120000] base_lr: 9.4528e-05 lr: 1.0412e-05 eta: 3:44:19 time: 0.2390 data_time: 0.0181 memory: 3339 grad_norm: 4.4475 loss: 2.0131 caption_loss_cls: 2.0131
2023/11/27 06:08:43 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 06:08:43 - mmengine - INFO - Iter(train) [ 63000/120000] base_lr: 9.3235e-05 lr: 1.0294e-05 eta: 3:42:18 time: 0.2390 data_time: 0.0181 memory: 3339 grad_norm: 4.4375 loss: 2.0127 caption_loss_cls: 2.0127
2023/11/27 06:10:36 - mmengine - INFO - Iter(train) [ 63500/120000] base_lr: 9.1944e-05 lr: 1.0177e-05 eta: 3:40:17 time: 0.2392 data_time: 0.0181 memory: 3339 grad_norm: 4.5284 loss: 2.0122 caption_loss_cls: 2.0122
2023/11/27 06:12:29 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 06:12:29 - mmengine - INFO - Iter(train) [ 64000/120000] base_lr: 9.0654e-05 lr: 1.0059e-05 eta: 3:38:16 time: 0.2393 data_time: 0.0181 memory: 3339 grad_norm: 4.4789 loss: 2.0100 caption_loss_cls: 2.0100
2023/11/27 06:14:21 - mmengine - INFO - Iter(train) [ 64500/120000] base_lr: 8.9366e-05 lr: 9.9424e-06 eta: 3:36:16 time: 0.2252 data_time: 0.0040 memory: 3339 grad_norm: 4.5085 loss: 2.0050 caption_loss_cls: 2.0050
2023/11/27 06:16:14 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 06:16:14 - mmengine - INFO - Iter(train) [ 65000/120000] base_lr: 8.8080e-05 lr: 9.8255e-06 eta: 3:34:15 time: 0.2252 data_time: 0.0040 memory: 3339 grad_norm: 4.6105 loss: 2.0096 caption_loss_cls: 2.0096
2023/11/27 06:17:10 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.7221 Bleu_2: 0.5481 Bleu_3: 0.4087 Bleu_4: 0.3047 METEOR: 0.2561 ROUGE_L: 0.5362 CIDEr: 0.9817 SPICE: 0.1814 data_time: 0.0086 time: 0.4089
2023/11/27 06:19:03 - mmengine - INFO - Iter(train) [ 65500/120000] base_lr: 8.6797e-05 lr: 9.7088e-06 eta: 3:32:48 time: 0.2352 data_time: 0.0140 memory: 3989 grad_norm: 4.6829 loss: 2.0066 caption_loss_cls: 2.0066
2023/11/27 06:20:55 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 06:20:55 - mmengine - INFO - Iter(train) [ 66000/120000] base_lr: 8.5516e-05 lr: 9.5923e-06 eta: 3:30:47 time: 0.2352 data_time: 0.0140 memory: 3339 grad_norm: 4.7348 loss: 2.0107 caption_loss_cls: 2.0107
2023/11/27 06:22:48 - mmengine - INFO - Iter(train) [ 66500/120000] base_lr: 8.4237e-05 lr: 9.4761e-06 eta: 3:28:46 time: 0.2352 data_time: 0.0140 memory: 3339 grad_norm: 4.7845 loss: 2.0153 caption_loss_cls: 2.0153
2023/11/27 06:24:47 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 06:24:47 - mmengine - INFO - Iter(train) [ 67000/120000] base_lr: 8.2961e-05 lr: 9.3601e-06 eta: 3:26:51 time: 0.2367 data_time: 0.0140 memory: 3339 grad_norm: 4.8199 loss: 2.0116 caption_loss_cls: 2.0116
2023/11/27 06:26:40 - mmengine - INFO - Iter(train) [ 67500/120000] base_lr: 8.1689e-05 lr: 9.2444e-06 eta: 3:24:50 time: 0.2367 data_time: 0.0140 memory: 3339 grad_norm: 4.7308 loss: 2.0126 caption_loss_cls: 2.0126
2023/11/27 06:28:32 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 06:28:32 - mmengine - INFO - Iter(train) [ 68000/120000] base_lr: 8.0419e-05 lr: 9.1290e-06 eta: 3:22:49 time: 0.2366 data_time: 0.0140 memory: 3339 grad_norm: 4.6971 loss: 2.0091 caption_loss_cls: 2.0091
2023/11/27 06:30:25 - mmengine - INFO - Iter(train) [ 68500/120000] base_lr: 7.9153e-05 lr: 9.0140e-06 eta: 3:20:49 time: 0.2366 data_time: 0.0140 memory: 3339 grad_norm: 4.6657 loss: 2.0108 caption_loss_cls: 2.0108
2023/11/27 06:32:17 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 06:32:17 - mmengine - INFO - Iter(train) [ 69000/120000] base_lr: 7.7891e-05 lr: 8.8992e-06 eta: 3:18:48 time: 0.2366 data_time: 0.0140 memory: 3339 grad_norm: 4.5834 loss: 2.0009 caption_loss_cls: 2.0009
2023/11/27 06:34:09 - mmengine - INFO - Iter(train) [ 69500/120000] base_lr: 7.6633e-05 lr: 8.7848e-06 eta: 3:16:48 time: 0.2265 data_time: 0.0041 memory: 3339 grad_norm: 4.5315 loss: 1.9929 caption_loss_cls: 1.9929
2023/11/27 06:36:02 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 06:36:02 - mmengine - INFO - Iter(train) [ 70000/120000] base_lr: 7.5379e-05 lr: 8.6709e-06 eta: 3:14:48 time: 0.2265 data_time: 0.0041 memory: 3339 grad_norm: 4.4739 loss: 1.9963 caption_loss_cls: 1.9963
2023/11/27 06:36:02 - mmengine - INFO - Saving checkpoint at 70000 iterations
2023/11/27 06:37:28 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.7174 Bleu_2: 0.5484 Bleu_3: 0.4113 Bleu_4: 0.3077 METEOR: 0.2594 ROUGE_L: 0.5383 CIDEr: 0.9936 SPICE: 0.1853 data_time: 0.0110 time: 0.4108
2023/11/27 06:39:20 - mmengine - INFO - Iter(train) [ 70500/120000] base_lr: 7.4130e-05 lr: 8.5573e-06 eta: 3:13:30 time: 0.2414 data_time: 0.0193 memory: 3989 grad_norm: 4.4165 loss: 1.9895 caption_loss_cls: 1.9895
2023/11/27 06:41:11 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 06:41:11 - mmengine - INFO - Iter(train) [ 71000/120000] base_lr: 7.2885e-05 lr: 8.4441e-06 eta: 3:11:29 time: 0.2397 data_time: 0.0193 memory: 3339 grad_norm: 4.3563 loss: 1.9821 caption_loss_cls: 1.9821
2023/11/27 06:43:03 - mmengine - INFO - Iter(train) [ 71500/120000] base_lr: 7.1645e-05 lr: 8.3314e-06 eta: 3:09:28 time: 0.2394 data_time: 0.0193 memory: 3339 grad_norm: 4.3393 loss: 1.9545 caption_loss_cls: 1.9545
2023/11/27 06:44:55 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 06:44:55 - mmengine - INFO - Iter(train) [ 72000/120000] base_lr: 7.0410e-05 lr: 8.2191e-06 eta: 3:07:27 time: 0.2393 data_time: 0.0193 memory: 3339 grad_norm: 4.3308 loss: 1.9349 caption_loss_cls: 1.9349
2023/11/27 06:46:47 - mmengine - INFO - Iter(train) [ 72500/120000] base_lr: 6.9180e-05 lr: 8.1073e-06 eta: 3:05:27 time: 0.2392 data_time: 0.0193 memory: 3339 grad_norm: 4.3167 loss: 1.9103 caption_loss_cls: 1.9103
2023/11/27 06:48:38 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 06:48:38 - mmengine - INFO - Iter(train) [ 73000/120000] base_lr: 6.7956e-05 lr: 7.9960e-06 eta: 3:03:26 time: 0.2390 data_time: 0.0193 memory: 3339 grad_norm: 4.2952 loss: 1.8933 caption_loss_cls: 1.8933
2023/11/27 06:50:30 - mmengine - INFO - Iter(train) [ 73500/120000] base_lr: 6.6737e-05 lr: 7.8852e-06 eta: 3:01:25 time: 0.2388 data_time: 0.0193 memory: 3339 grad_norm: 4.2725 loss: 1.8788 caption_loss_cls: 1.8788
2023/11/27 06:52:22 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 06:52:22 - mmengine - INFO - Iter(train) [ 74000/120000] base_lr: 6.5524e-05 lr: 7.7749e-06 eta: 2:59:25 time: 0.2386 data_time: 0.0193 memory: 3339 grad_norm: 4.2615 loss: 1.8501 caption_loss_cls: 1.8501
2023/11/27 06:54:13 - mmengine - INFO - Iter(train) [ 74500/120000] base_lr: 6.4317e-05 lr: 7.6652e-06 eta: 2:57:24 time: 0.2233 data_time: 0.0041 memory: 3339 grad_norm: 4.2480 loss: 1.8348 caption_loss_cls: 1.8348
2023/11/27 06:56:05 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 06:56:05 - mmengine - INFO - Iter(train) [ 75000/120000] base_lr: 6.3117e-05 lr: 7.5561e-06 eta: 2:55:24 time: 0.2233 data_time: 0.0040 memory: 3339 grad_norm: 4.2279 loss: 1.8235 caption_loss_cls: 1.8235
2023/11/27 06:57:13 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.7283 Bleu_2: 0.5567 Bleu_3: 0.4172 Bleu_4: 0.3118 METEOR: 0.2617 ROUGE_L: 0.5416 CIDEr: 1.0160 SPICE: 0.1900 data_time: 0.0149 time: 0.4171
2023/11/27 06:59:04 - mmengine - INFO - Iter(train) [ 75500/120000] base_lr: 6.1923e-05 lr: 7.4475e-06 eta: 2:53:54 time: 0.2361 data_time: 0.0169 memory: 3989 grad_norm: 4.2123 loss: 1.8279 caption_loss_cls: 1.8279
2023/11/27 07:00:56 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 07:00:56 - mmengine - INFO - Iter(train) [ 76000/120000] base_lr: 6.0735e-05 lr: 7.3396e-06 eta: 2:51:53 time: 0.2359 data_time: 0.0169 memory: 3339 grad_norm: 4.1929 loss: 1.8235 caption_loss_cls: 1.8235
2023/11/27 07:02:47 - mmengine - INFO - Iter(train) [ 76500/120000] base_lr: 5.9555e-05 lr: 7.2323e-06 eta: 2:49:53 time: 0.2356 data_time: 0.0169 memory: 3339 grad_norm: 4.1691 loss: 1.8287 caption_loss_cls: 1.8287
2023/11/27 07:04:38 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 07:04:38 - mmengine - INFO - Iter(train) [ 77000/120000] base_lr: 5.8382e-05 lr: 7.1256e-06 eta: 2:47:52 time: 0.2357 data_time: 0.0169 memory: 3339 grad_norm: 4.1419 loss: 1.8268 caption_loss_cls: 1.8268
2023/11/27 07:06:30 - mmengine - INFO - Iter(train) [ 77500/120000] base_lr: 5.7216e-05 lr: 7.0196e-06 eta: 2:45:52 time: 0.2356 data_time: 0.0169 memory: 3339 grad_norm: 4.1326 loss: 1.8234 caption_loss_cls: 1.8234
2023/11/27 07:08:21 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 07:08:21 - mmengine - INFO - Iter(train) [ 78000/120000] base_lr: 5.6057e-05 lr: 6.9143e-06 eta: 2:43:52 time: 0.2355 data_time: 0.0169 memory: 3339 grad_norm: 4.1246 loss: 1.8282 caption_loss_cls: 1.8282
2023/11/27 07:10:13 - mmengine - INFO - Iter(train) [ 78500/120000] base_lr: 5.4906e-05 lr: 6.8097e-06 eta: 2:41:52 time: 0.2356 data_time: 0.0169 memory: 3339 grad_norm: 4.1236 loss: 1.8320 caption_loss_cls: 1.8320
2023/11/27 07:12:04 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 07:12:04 - mmengine - INFO - Iter(train) [ 79000/120000] base_lr: 5.3764e-05 lr: 6.7058e-06 eta: 2:39:52 time: 0.2355 data_time: 0.0169 memory: 3339 grad_norm: 4.1386 loss: 1.8314 caption_loss_cls: 1.8314
2023/11/27 07:13:56 - mmengine - INFO - Iter(train) [ 79500/120000] base_lr: 5.2629e-05 lr: 6.6026e-06 eta: 2:37:52 time: 0.2228 data_time: 0.0041 memory: 3339 grad_norm: 4.1498 loss: 1.8284 caption_loss_cls: 1.8284
2023/11/27 07:15:48 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 07:15:48 - mmengine - INFO - Iter(train) [ 80000/120000] base_lr: 5.1502e-05 lr: 6.5002e-06 eta: 2:35:53 time: 0.2228 data_time: 0.0041 memory: 3339 grad_norm: 4.1576 loss: 1.8321 caption_loss_cls: 1.8321
2023/11/27 07:15:48 - mmengine - INFO - Saving checkpoint at 80000 iterations
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
2023/11/27 07:18:59 - mmengine - INFO - Iter(train) [ 80500/120000] base_lr: 5.0384e-05 lr: 6.3986e-06 eta: 2:34:20 time: 0.2366 data_time: 0.0178 memory: 3989 grad_norm: 4.1831 loss: 1.8257 caption_loss_cls: 1.8257
2023/11/27 07:20:51 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 07:20:51 - mmengine - INFO - Iter(train) [ 81000/120000] base_lr: 4.9275e-05 lr: 6.2977e-06 eta: 2:32:20 time: 0.2366 data_time: 0.0178 memory: 3339 grad_norm: 4.1989 loss: 1.8270 caption_loss_cls: 1.8270
2023/11/27 07:22:42 - mmengine - INFO - Iter(train) [ 81500/120000] base_lr: 4.8174e-05 lr: 6.1977e-06 eta: 2:30:20 time: 0.2367 data_time: 0.0178 memory: 3339 grad_norm: 4.2243 loss: 1.8273 caption_loss_cls: 1.8273
2023/11/27 07:24:34 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 07:24:34 - mmengine - INFO - Iter(train) [ 82000/120000] base_lr: 4.7083e-05 lr: 6.0984e-06 eta: 2:28:20 time: 0.2367 data_time: 0.0178 memory: 3339 grad_norm: 4.2461 loss: 1.8248 caption_loss_cls: 1.8248
2023/11/27 07:26:25 - mmengine - INFO - Iter(train) [ 82500/120000] base_lr: 4.6001e-05 lr: 6.0001e-06 eta: 2:26:20 time: 0.2366 data_time: 0.0178 memory: 3339 grad_norm: 4.2741 loss: 1.8194 caption_loss_cls: 1.8194
2023/11/27 07:28:16 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 07:28:16 - mmengine - INFO - Iter(train) [ 83000/120000] base_lr: 4.4928e-05 lr: 5.9025e-06 eta: 2:24:21 time: 0.2365 data_time: 0.0178 memory: 3339 grad_norm: 4.2990 loss: 1.8165 caption_loss_cls: 1.8165
2023/11/27 07:30:07 - mmengine - INFO - Iter(train) [ 83500/120000] base_lr: 4.3865e-05 lr: 5.8059e-06 eta: 2:22:21 time: 0.2364 data_time: 0.0178 memory: 3339 grad_norm: 4.3064 loss: 1.8215 caption_loss_cls: 1.8215
2023/11/27 07:31:58 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 07:31:58 - mmengine - INFO - Iter(train) [ 84000/120000] base_lr: 4.2811e-05 lr: 5.7101e-06 eta: 2:20:22 time: 0.2363 data_time: 0.0178 memory: 3339 grad_norm: 4.3109 loss: 1.8206 caption_loss_cls: 1.8206
2023/11/27 07:34:04 - mmengine - INFO - Iter(train) [ 84500/120000] base_lr: 4.1768e-05 lr: 5.6153e-06 eta: 2:18:28 time: 0.2261 data_time: 0.0041 memory: 3339 grad_norm: 4.3092 loss: 1.8247 caption_loss_cls: 1.8247
2023/11/27 07:35:55 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 07:35:55 - mmengine - INFO - Iter(train) [ 85000/120000] base_lr: 4.0735e-05 lr: 5.5213e-06 eta: 2:16:29 time: 0.2259 data_time: 0.0041 memory: 3339 grad_norm: 4.3182 loss: 1.8198 caption_loss_cls: 1.8198
2023/11/27 07:37:11 - mmengine - INFO - Iter(val) [40/40] Bleu_1: 0.7289 Bleu_2: 0.5580 Bleu_3: 0.4196 Bleu_4: 0.3157 METEOR: 0.2643 ROUGE_L: 0.5470 CIDEr: 1.0283 SPICE: 0.1898 data_time: 0.0152 time: 0.4148
2023/11/27 07:39:02 - mmengine - INFO - Iter(train) [ 85500/120000] base_lr: 3.9712e-05 lr: 5.4283e-06 eta: 2:14:53 time: 0.2406 data_time: 0.0190 memory: 3989 grad_norm: 4.2973 loss: 1.8204 caption_loss_cls: 1.8204
2023/11/27 07:40:54 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 07:40:54 - mmengine - INFO - Iter(train) [ 86000/120000] base_lr: 3.8699e-05 lr: 5.3363e-06 eta: 2:12:54 time: 0.2407 data_time: 0.0190 memory: 3339 grad_norm: 4.2914 loss: 1.8218 caption_loss_cls: 1.8218
2023/11/27 07:42:45 - mmengine - INFO - Iter(train) [ 86500/120000] base_lr: 3.7698e-05 lr: 5.2452e-06 eta: 2:10:54 time: 0.2407 data_time: 0.0190 memory: 3339 grad_norm: 4.2804 loss: 1.8201 caption_loss_cls: 1.8201
2023/11/27 07:44:36 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 07:44:36 - mmengine - INFO - Iter(train) [ 87000/120000] base_lr: 3.6707e-05 lr: 5.1551e-06 eta: 2:08:54 time: 0.2407 data_time: 0.0190 memory: 3339 grad_norm: 4.2717 loss: 1.8190 caption_loss_cls: 1.8190
2023/11/27 07:46:27 - mmengine - INFO - Iter(train) [ 87500/120000] base_lr: 3.5727e-05 lr: 5.0661e-06 eta: 2:06:55 time: 0.2407 data_time: 0.0190 memory: 3339 grad_norm: 4.2807 loss: 1.8142 caption_loss_cls: 1.8142
2023/11/27 07:48:19 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 07:48:19 - mmengine - INFO - Iter(train) [ 88000/120000] base_lr: 3.4758e-05 lr: 4.9780e-06 eta: 2:04:56 time: 0.2408 data_time: 0.0190 memory: 3339 grad_norm: 4.2921 loss: 1.8059 caption_loss_cls: 1.8059
2023/11/27 07:50:10 - mmengine - INFO - Iter(train) [ 88500/120000] base_lr: 3.3801e-05 lr: 4.8910e-06 eta: 2:02:56 time: 0.2372 data_time: 0.0190 memory: 3339 grad_norm: 4.2964 loss: 1.8032 caption_loss_cls: 1.8032
2023/11/27 07:52:03 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 07:52:03 - mmengine - INFO - Iter(train) [ 89000/120000] base_lr: 3.2855e-05 lr: 4.8050e-06 eta: 2:00:58 time: 0.2377 data_time: 0.0190 memory: 3339 grad_norm: 4.3013 loss: 1.8030 caption_loss_cls: 1.8030
2023/11/27 07:53:54 - mmengine - INFO - Iter(train) [ 89500/120000] base_lr: 3.1921e-05 lr: 4.7201e-06 eta: 1:58:59 time: 0.2229 data_time: 0.0041 memory: 3339 grad_norm: 4.3201 loss: 1.8019 caption_loss_cls: 1.8019
2023/11/27 07:55:45 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
2023/11/27 07:55:45 - mmengine - INFO - Saving checkpoint at 90000 iterations
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
2023/11/27 07:58:40 - mmengine - INFO - Iter(train) [ 90500/120000] base_lr: 3.0088e-05 lr: 4.5534e-06 eta: 1:55:13 time: 0.2324 data_time: 0.0134 memory: 3989 grad_norm: 4.3318 loss: 1.8051 caption_loss_cls: 1.8051
2023/11/27 08:00:31 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 08:00:31 - mmengine - INFO - Iter(train) [ 91000/120000] base_lr: 2.9190e-05 lr: 4.4718e-06 eta: 1:53:14 time: 0.2323 data_time: 0.0134 memory: 3339 grad_norm: 4.3439 loss: 1.8032 caption_loss_cls: 1.8032
2023/11/27 08:02:34 - mmengine - INFO - Iter(train) [ 91500/120000] base_lr: 2.8304e-05 lr: 4.3913e-06 eta: 1:51:19 time: 0.2353 data_time: 0.0134 memory: 3339 grad_norm: 4.3663 loss: 1.8015 caption_loss_cls: 1.8015
2023/11/27 08:04:25 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 08:04:25 - mmengine - INFO - Iter(train) [ 92000/120000] base_lr: 2.7430e-05 lr: 4.3119e-06 eta: 1:49:20 time: 0.2352 data_time: 0.0134 memory: 3339 grad_norm: 4.3853 loss: 1.8150 caption_loss_cls: 1.8150
2023/11/27 08:06:16 - mmengine - INFO - Iter(train) [ 92500/120000] base_lr: 2.6570e-05 lr: 4.2336e-06 eta: 1:47:21 time: 0.2352 data_time: 0.0134 memory: 3339 grad_norm: 4.3985 loss: 1.8148 caption_loss_cls: 1.8148
2023/11/27 08:08:07 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 08:08:07 - mmengine - INFO - Iter(train) [ 93000/120000] base_lr: 2.5721e-05 lr: 4.1565e-06 eta: 1:45:22 time: 0.2345 data_time: 0.0134 memory: 3339 grad_norm: 4.4160 loss: 1.8165 caption_loss_cls: 1.8165
2023/11/27 08:09:58 - mmengine - INFO - Iter(train) [ 93500/120000] base_lr: 2.4886e-05 lr: 4.0806e-06 eta: 1:43:23 time: 0.2345 data_time: 0.0134 memory: 3339 grad_norm: 4.4206 loss: 1.8148 caption_loss_cls: 1.8148
2023/11/27 08:11:49 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 08:11:49 - mmengine - INFO - Iter(train) [ 94000/120000] base_lr: 2.4064e-05 lr: 4.0058e-06 eta: 1:41:24 time: 0.2345 data_time: 0.0134 memory: 3339 grad_norm: 4.4331 loss: 1.8122 caption_loss_cls: 1.8122
2023/11/27 08:13:40 - mmengine - INFO - Iter(train) [ 94500/120000] base_lr: 2.3255e-05 lr: 3.9323e-06 eta: 1:39:26 time: 0.2247 data_time: 0.0041 memory: 3339 grad_norm: 4.4317 loss: 1.8021 caption_loss_cls: 1.8021
2023/11/27 08:15:31 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 08:18:50 - mmengine - INFO - Iter(train) [ 95500/120000] base_lr: 2.1677e-05 lr: 3.7889e-06 eta: 1:35:47 time: 0.2395 data_time: 0.0220 memory: 3989 grad_norm: 4.3648 loss: 1.7753 caption_loss_cls: 1.7753
2023/11/27 08:20:41 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 08:20:41 - mmengine - INFO - Iter(train) [ 96000/120000] base_lr: 2.0909e-05 lr: 3.7190e-06 eta: 1:33:48 time: 0.2396 data_time: 0.0220 memory: 3339 grad_norm: 4.3452 loss: 1.7549 caption_loss_cls: 1.7549
2023/11/27 08:22:32 - mmengine - INFO - Iter(train) [ 96500/120000] base_lr: 2.0154e-05 lr: 3.6504e-06 eta: 1:31:49 time: 0.2395 data_time: 0.0220 memory: 3339 grad_norm: 4.3309 loss: 1.7345 caption_loss_cls: 1.7345
2023/11/27 08:24:23 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 08:24:23 - mmengine - INFO - Iter(train) [ 97000/120000] base_lr: 1.9413e-05 lr: 3.5830e-06 eta: 1:29:50 time: 0.2397 data_time: 0.0220 memory: 3339 grad_norm: 4.3024 loss: 1.7177 caption_loss_cls: 1.7177
2023/11/27 08:26:17 - mmengine - INFO - Iter(train) [ 97500/120000] base_lr: 1.8686e-05 lr: 3.5169e-06 eta: 1:27:52 time: 0.2403 data_time: 0.0220 memory: 3339 grad_norm: 4.2836 loss: 1.7034 caption_loss_cls: 1.7034
2023/11/27 08:28:08 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 08:28:08 - mmengine - INFO - Iter(train) [ 98000/120000] base_lr: 1.7973e-05 lr: 3.4521e-06 eta: 1:25:54 time: 0.2404 data_time: 0.0220 memory: 3339 grad_norm: 4.2695 loss: 1.6849 caption_loss_cls: 1.6849
2023/11/27 08:29:59 - mmengine - INFO - Iter(train) [ 98500/120000] base_lr: 1.7274e-05 lr: 3.3886e-06 eta: 1:23:55 time: 0.2404 data_time: 0.0220 memory: 3339 grad_norm: 4.2536 loss: 1.6719 caption_loss_cls: 1.6719
2023/11/27 08:31:51 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 08:35:34 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
2023/11/27 08:35:34 - mmengine - INFO - Saving checkpoint at 100000 iterations
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
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
2023/11/27 08:40:29 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
2023/11/27 08:42:21 - mmengine - INFO - Iter(train) [101500/120000] base_lr: 1.3387e-05 lr: 3.0352e-06 eta: 1:12:15 time: 0.2345 data_time: 0.0163 memory: 3339 grad_norm: 4.2873 loss: 1.6632 caption_loss_cls: 1.6632
2023/11/27 08:44:12 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 08:44:12 - mmengine - INFO - Iter(train) [102000/120000] base_lr: 1.2792e-05 lr: 2.9810e-06 eta: 1:10:17 time: 0.2346 data_time: 0.0163 memory: 3339 grad_norm: 4.2903 loss: 1.6655 caption_loss_cls: 1.6655
2023/11/27 08:46:04 - mmengine - INFO - Iter(train) [102500/120000] base_lr: 1.2211e-05 lr: 2.9282e-06 eta: 1:08:19 time: 0.2346 data_time: 0.0164 memory: 3339 grad_norm: 4.2944 loss: 1.6604 caption_loss_cls: 1.6604
2023/11/27 08:47:55 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 08:47:55 - mmengine - INFO - Iter(train) [103000/120000] base_lr: 1.1645e-05 lr: 2.8768e-06 eta: 1:06:21 time: 0.2345 data_time: 0.0164 memory: 3339 grad_norm: 4.2971 loss: 1.6582 caption_loss_cls: 1.6582
2023/11/27 08:49:46 - mmengine - INFO - Iter(train) [103500/120000] base_lr: 1.1095e-05 lr: 2.8268e-06 eta: 1:04:23 time: 0.2344 data_time: 0.0164 memory: 3339 grad_norm: 4.2990 loss: 1.6518 caption_loss_cls: 1.6518
2023/11/27 08:51:37 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 08:51:37 - mmengine - INFO - Iter(train) [104000/120000] base_lr: 1.0560e-05 lr: 2.7782e-06 eta: 1:02:25 time: 0.2344 data_time: 0.0164 memory: 3339 grad_norm: 4.2948 loss: 1.6561 caption_loss_cls: 1.6561
2023/11/27 08:53:29 - mmengine - INFO - Iter(train) [104500/120000] base_lr: 1.0041e-05 lr: 2.7310e-06 eta: 1:00:27 time: 0.2225 data_time: 0.0042 memory: 3339 grad_norm: 4.3073 loss: 1.6638 caption_loss_cls: 1.6638
2023/11/27 08:55:21 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 08:55:21 - mmengine - INFO - Iter(train) [105000/120000] base_lr: 9.5369e-06 lr: 2.6852e-06 eta: 0:58:29 time: 0.2228 data_time: 0.0045 memory: 3339 grad_norm: 4.3021 loss: 1.6702 caption_loss_cls: 1.6702
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
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
2023/11/27 08:59:57 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 08:59:57 - mmengine - INFO - Iter(train) [106000/120000] base_lr: 8.5765e-06 lr: 2.5979e-06 eta: 0:54:38 time: 0.2319 data_time: 0.0137 memory: 3339 grad_norm: 4.3026 loss: 1.6710 caption_loss_cls: 1.6710
2023/11/27 09:01:48 - mmengine - INFO - Iter(train) [106500/120000] base_lr: 8.1200e-06 lr: 2.5564e-06 eta: 0:52:41 time: 0.2318 data_time: 0.0137 memory: 3339 grad_norm: 4.3076 loss: 1.6763 caption_loss_cls: 1.6763
2023/11/27 09:03:40 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 09:03:40 - mmengine - INFO - Iter(train) [107000/120000] base_lr: 7.6794e-06 lr: 2.5163e-06 eta: 0:50:43 time: 0.2319 data_time: 0.0138 memory: 3339 grad_norm: 4.3034 loss: 1.6781 caption_loss_cls: 1.6781
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
2023/11/27 09:07:23 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 09:07:23 - mmengine - INFO - Iter(train) [108000/120000] base_lr: 6.8462e-06 lr: 2.4406e-06 eta: 0:46:47 time: 0.2319 data_time: 0.0138 memory: 3339 grad_norm: 4.3228 loss: 1.6793 caption_loss_cls: 1.6793
2023/11/27 09:09:14 - mmengine - INFO - Iter(train) [108500/120000] base_lr: 6.4538e-06 lr: 2.4049e-06 eta: 0:44:50 time: 0.2319 data_time: 0.0138 memory: 3339 grad_norm: 4.3112 loss: 1.6744 caption_loss_cls: 1.6744
2023/11/27 09:11:05 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 09:11:05 - mmengine - INFO - Iter(train) [109000/120000] base_lr: 6.0776e-06 lr: 2.3707e-06 eta: 0:42:52 time: 0.2316 data_time: 0.0136 memory: 3339 grad_norm: 4.3122 loss: 1.6716 caption_loss_cls: 1.6716
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
2023/11/27 09:14:47 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
2023/11/27 09:14:47 - mmengine - INFO - Saving checkpoint at 110000 iterations
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
2023/11/27 09:17:38 - mmengine - INFO - Iter(train) [110500/120000] base_lr: 5.0468e-06 lr: 2.2770e-06 eta: 0:37:03 time: 0.2309 data_time: 0.0132 memory: 3989 grad_norm: 4.2995 loss: 1.6693 caption_loss_cls: 1.6693
2023/11/27 09:19:29 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 09:19:29 - mmengine - INFO - Iter(train) [111000/120000] base_lr: 4.7360e-06 lr: 2.2487e-06 eta: 0:35:05 time: 0.2307 data_time: 0.0131 memory: 3339 grad_norm: 4.3040 loss: 1.6711 caption_loss_cls: 1.6711
2023/11/27 09:21:20 - mmengine - INFO - Iter(train) [111500/120000] base_lr: 4.4417e-06 lr: 2.2220e-06 eta: 0:33:08 time: 0.2306 data_time: 0.0131 memory: 3339 grad_norm: 4.2949 loss: 1.6713 caption_loss_cls: 1.6713
2023/11/27 09:23:11 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 09:23:11 - mmengine - INFO - Iter(train) [112000/120000] base_lr: 4.1639e-06 lr: 2.1967e-06 eta: 0:31:10 time: 0.2305 data_time: 0.0131 memory: 3339 grad_norm: 4.2979 loss: 1.6649 caption_loss_cls: 1.6649
2023/11/27 09:25:02 - mmengine - INFO - Iter(train) [112500/120000] base_lr: 3.9028e-06 lr: 2.1730e-06 eta: 0:29:13 time: 0.2306 data_time: 0.0133 memory: 3339 grad_norm: 4.3020 loss: 1.6612 caption_loss_cls: 1.6612
2023/11/27 09:26:54 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
2023/11/27 09:26:54 - mmengine - INFO - Iter(train) [113000/120000] base_lr: 3.6582e-06 lr: 2.1507e-06 eta: 0:27:16 time: 0.2306 data_time: 0.0133 memory: 3339 grad_norm: 4.2958 loss: 1.6646 caption_loss_cls: 1.6646
2023/11/27 09:28:44 - mmengine - INFO - Iter(train) [113500/120000] base_lr: 3.4304e-06 lr: 2.1300e-06 eta: 0:25:19 time: 0.2305 data_time: 0.0133 memory: 3339 grad_norm: 4.2930 loss: 1.6604 caption_loss_cls: 1.6604
2023/11/27 09:30:35 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 09:34:17 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
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
2023/11/27 09:38:52 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 09:42:34 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 09:46:16 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 09:49:58 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
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
2023/11/27 09:53:41 - mmengine - INFO - Exp name: univision_single_caption_base_20231127_015742
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
2023/11/27 09:53:41 - mmengine - INFO - Saving checkpoint at 120000 iterations
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
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