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qa-persian-bert-fa-base-uncased

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  1. README.md +104 -16
  2. model.safetensors +1 -1
  3. runs/Mar06_14-48-57_Software-AI/events.out.tfevents.1709723938.Software-AI.118212.16 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -3,8 +3,6 @@ license: apache-2.0
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  base_model: makhataei/qa-persian-bert-fa-base-uncased
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  tags:
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  - generated_from_trainer
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- datasets:
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- - parsinlu_reading_comprehension
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  model-index:
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  - name: qa-persian-bert-fa-base-uncased
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  results: []
@@ -15,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # qa-persian-bert-fa-base-uncased
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- This model is a fine-tuned version of [makhataei/qa-persian-bert-fa-base-uncased](https://huggingface.co/makhataei/qa-persian-bert-fa-base-uncased) on the parsinlu_reading_comprehension dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.4907
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  ## Model description
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@@ -36,28 +34,118 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0005
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  - train_batch_size: 14
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  - eval_batch_size: 14
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 5.4172 | 1.0 | 86 | 5.4907 |
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- | 5.3912 | 2.0 | 172 | 5.4907 |
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- | 5.4122 | 3.0 | 258 | 5.4907 |
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- | 5.4156 | 4.0 | 344 | 5.4907 |
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- | 5.4186 | 5.0 | 430 | 5.4907 |
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- | 5.3939 | 6.0 | 516 | 5.4907 |
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- | 5.4237 | 7.0 | 602 | 5.4907 |
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- | 5.3991 | 8.0 | 688 | 5.4907 |
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- | 5.412 | 9.0 | 774 | 5.4907 |
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- | 5.448 | 10.0 | 860 | 5.4907 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  base_model: makhataei/qa-persian-bert-fa-base-uncased
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: qa-persian-bert-fa-base-uncased
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  results: []
 
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  # qa-persian-bert-fa-base-uncased
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+ This model is a fine-tuned version of [makhataei/qa-persian-bert-fa-base-uncased](https://huggingface.co/makhataei/qa-persian-bert-fa-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 5.3355
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-07
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  - train_batch_size: 14
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  - eval_batch_size: 14
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 100
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 5.5994 | 1.0 | 9 | 5.3355 |
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+ | 5.6987 | 2.0 | 18 | 5.3355 |
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+ | 5.6845 | 3.0 | 27 | 5.3355 |
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+ | 5.6478 | 4.0 | 36 | 5.3355 |
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+ | 5.722 | 5.0 | 45 | 5.3355 |
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+ | 5.6464 | 6.0 | 54 | 5.3355 |
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+ | 5.5939 | 7.0 | 63 | 5.3355 |
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+ | 5.5771 | 8.0 | 72 | 5.3355 |
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+ | 5.5841 | 9.0 | 81 | 5.3355 |
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+ | 5.5864 | 10.0 | 90 | 5.3355 |
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+ | 5.5771 | 11.0 | 99 | 5.3355 |
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+ | 5.6131 | 12.0 | 108 | 5.3355 |
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+ | 5.6694 | 13.0 | 117 | 5.3355 |
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+ | 5.7032 | 14.0 | 126 | 5.3355 |
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+ | 5.6996 | 15.0 | 135 | 5.3355 |
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+ | 5.6724 | 16.0 | 144 | 5.3355 |
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+ | 5.7379 | 17.0 | 153 | 5.3355 |
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+ | 5.6688 | 18.0 | 162 | 5.3355 |
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+ | 5.7008 | 19.0 | 171 | 5.3355 |
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+ | 5.6231 | 20.0 | 180 | 5.3355 |
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+ | 5.6514 | 21.0 | 189 | 5.3355 |
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+ | 5.6814 | 22.0 | 198 | 5.3355 |
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+ | 5.6307 | 23.0 | 207 | 5.3355 |
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+ | 5.7506 | 24.0 | 216 | 5.3355 |
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+ | 5.6748 | 25.0 | 225 | 5.3355 |
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+ | 5.6644 | 26.0 | 234 | 5.3355 |
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+ | 5.6912 | 27.0 | 243 | 5.3355 |
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+ | 5.673 | 28.0 | 252 | 5.3355 |
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+ | 5.6223 | 29.0 | 261 | 5.3355 |
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+ | 5.6194 | 30.0 | 270 | 5.3355 |
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+ | 5.6944 | 31.0 | 279 | 5.3355 |
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+ | 5.6899 | 32.0 | 288 | 5.3355 |
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+ | 5.6169 | 33.0 | 297 | 5.3355 |
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+ | 5.6643 | 34.0 | 306 | 5.3355 |
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+ | 5.704 | 35.0 | 315 | 5.3355 |
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+ | 5.6704 | 36.0 | 324 | 5.3355 |
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+ | 5.6939 | 37.0 | 333 | 5.3355 |
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+ | 5.6055 | 38.0 | 342 | 5.3355 |
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+ | 5.5774 | 39.0 | 351 | 5.3355 |
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+ | 5.5988 | 40.0 | 360 | 5.3355 |
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+ | 5.6704 | 41.0 | 369 | 5.3355 |
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+ | 5.6441 | 42.0 | 378 | 5.3355 |
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+ | 5.6434 | 43.0 | 387 | 5.3355 |
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+ | 5.6054 | 44.0 | 396 | 5.3355 |
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+ | 5.6084 | 45.0 | 405 | 5.3355 |
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+ | 5.738 | 46.0 | 414 | 5.3355 |
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+ | 5.6527 | 47.0 | 423 | 5.3355 |
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+ | 5.6566 | 48.0 | 432 | 5.3355 |
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+ | 5.6381 | 49.0 | 441 | 5.3355 |
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+ | 5.7056 | 50.0 | 450 | 5.3355 |
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+ | 5.6694 | 51.0 | 459 | 5.3355 |
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+ | 5.6043 | 52.0 | 468 | 5.3355 |
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+ | 5.6552 | 53.0 | 477 | 5.3355 |
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+ | 5.5852 | 54.0 | 486 | 5.3355 |
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+ | 5.6209 | 55.0 | 495 | 5.3355 |
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+ | 5.6145 | 56.0 | 504 | 5.3355 |
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+ | 5.6426 | 57.0 | 513 | 5.3355 |
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+ | 5.5891 | 58.0 | 522 | 5.3355 |
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+ | 5.6143 | 59.0 | 531 | 5.3355 |
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+ | 5.6737 | 60.0 | 540 | 5.3355 |
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+ | 5.6741 | 61.0 | 549 | 5.3355 |
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+ | 5.6885 | 62.0 | 558 | 5.3355 |
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+ | 5.677 | 63.0 | 567 | 5.3355 |
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+ | 5.6158 | 64.0 | 576 | 5.3355 |
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+ | 5.6182 | 65.0 | 585 | 5.3355 |
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+ | 5.6781 | 66.0 | 594 | 5.3355 |
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+ | 5.686 | 67.0 | 603 | 5.3355 |
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+ | 5.6751 | 68.0 | 612 | 5.3355 |
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+ | 5.5912 | 69.0 | 621 | 5.3355 |
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+ | 5.66 | 70.0 | 630 | 5.3355 |
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+ | 5.7323 | 71.0 | 639 | 5.3355 |
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+ | 5.6168 | 72.0 | 648 | 5.3355 |
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+ | 5.6719 | 73.0 | 657 | 5.3355 |
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+ | 5.6933 | 74.0 | 666 | 5.3355 |
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+ | 5.5853 | 75.0 | 675 | 5.3355 |
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+ | 5.5871 | 76.0 | 684 | 5.3355 |
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+ | 5.652 | 77.0 | 693 | 5.3355 |
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+ | 5.6025 | 78.0 | 702 | 5.3355 |
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+ | 5.6427 | 79.0 | 711 | 5.3355 |
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+ | 5.639 | 80.0 | 720 | 5.3355 |
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+ | 5.6558 | 81.0 | 729 | 5.3355 |
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+ | 5.6957 | 82.0 | 738 | 5.3355 |
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+ | 5.6081 | 83.0 | 747 | 5.3355 |
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+ | 5.6185 | 84.0 | 756 | 5.3355 |
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+ | 5.6379 | 85.0 | 765 | 5.3355 |
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+ | 5.6208 | 86.0 | 774 | 5.3355 |
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+ | 5.7416 | 87.0 | 783 | 5.3355 |
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+ | 5.704 | 88.0 | 792 | 5.3355 |
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+ | 5.6387 | 89.0 | 801 | 5.3355 |
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+ | 5.6339 | 90.0 | 810 | 5.3355 |
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+ | 5.6447 | 91.0 | 819 | 5.3355 |
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+ | 5.6304 | 92.0 | 828 | 5.3355 |
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+ | 5.6814 | 93.0 | 837 | 5.3355 |
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+ | 5.6318 | 96.0 | 864 | 5.3355 |
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+ | 5.6404 | 97.0 | 873 | 5.3355 |
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+ | 5.6277 | 98.0 | 882 | 5.3355 |
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+ | 5.639 | 99.0 | 891 | 5.3355 |
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+ | 5.6655 | 100.0 | 900 | 5.3355 |
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  ### Framework versions
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