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arabert_cross_organization_task1_fold6

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  1. README.md +83 -38
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -3,20 +3,20 @@ base_model: aubmindlab/bert-base-arabertv02
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: arabert_cross_organization_task1_fold6
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # arabert_cross_organization_task1_fold6
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  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5065
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- - Qwk: 0.5872
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- - Mse: 0.5068
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  ## Model description
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@@ -36,47 +36,92 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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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: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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- | No log | 0.0333 | 2 | 1.3406 | 0.1272 | 1.3358 |
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- | No log | 0.0667 | 4 | 0.8265 | 0.4153 | 0.8257 |
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- | No log | 0.1 | 6 | 0.8097 | 0.4369 | 0.8081 |
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- | No log | 0.1333 | 8 | 1.3349 | 0.2686 | 1.3293 |
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- | No log | 0.1667 | 10 | 1.6060 | 0.2088 | 1.6004 |
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- | No log | 0.2 | 12 | 0.8236 | 0.4659 | 0.8228 |
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- | No log | 0.2333 | 14 | 0.7457 | 0.7105 | 0.7455 |
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- | No log | 0.2667 | 16 | 0.6864 | 0.7080 | 0.6862 |
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- | No log | 0.3 | 18 | 0.5901 | 0.6645 | 0.5904 |
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- | No log | 0.3333 | 20 | 0.5969 | 0.5548 | 0.5976 |
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- | No log | 0.3667 | 22 | 0.5959 | 0.5583 | 0.5967 |
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- | No log | 0.4 | 24 | 0.5686 | 0.5777 | 0.5693 |
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- | No log | 0.4333 | 26 | 0.5590 | 0.5947 | 0.5597 |
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- | No log | 0.4667 | 28 | 0.5735 | 0.5935 | 0.5744 |
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- | No log | 0.5 | 30 | 0.5975 | 0.5928 | 0.5988 |
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- | No log | 0.5333 | 32 | 0.6258 | 0.5641 | 0.6273 |
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- | No log | 0.5667 | 34 | 0.6292 | 0.5869 | 0.6308 |
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- | No log | 0.6 | 36 | 0.6858 | 0.5587 | 0.6877 |
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- | No log | 0.6333 | 38 | 0.7409 | 0.5113 | 0.7426 |
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- | No log | 0.6667 | 40 | 0.6874 | 0.5326 | 0.6890 |
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- | No log | 0.7 | 42 | 0.6068 | 0.5820 | 0.6082 |
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- | No log | 0.7333 | 44 | 0.5795 | 0.5865 | 0.5808 |
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- | No log | 0.7667 | 46 | 0.5648 | 0.5761 | 0.5657 |
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- | No log | 0.8 | 48 | 0.5434 | 0.5850 | 0.5441 |
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- | No log | 0.8333 | 50 | 0.5465 | 0.5702 | 0.5470 |
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- | No log | 0.8667 | 52 | 0.5395 | 0.5634 | 0.5399 |
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- | No log | 0.9 | 54 | 0.5210 | 0.5854 | 0.5214 |
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- | No log | 0.9333 | 56 | 0.5114 | 0.5854 | 0.5117 |
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- | No log | 0.9667 | 58 | 0.5075 | 0.5858 | 0.5078 |
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- | No log | 1.0 | 60 | 0.5065 | 0.5872 | 0.5068 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: arabert_cross_organization_task1_fold5
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # arabert_cross_organization_task1_fold5
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  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4714
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+ - Qwk: 0.7597
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+ - Mse: 0.4723
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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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 | Qwk | Mse |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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+ | No log | 0.1333 | 2 | 1.3842 | 0.1724 | 1.3839 |
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+ | No log | 0.2667 | 4 | 0.9780 | 0.3534 | 0.9789 |
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+ | No log | 0.4 | 6 | 1.4683 | 0.4626 | 1.4695 |
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+ | No log | 0.5333 | 8 | 1.2844 | 0.5615 | 1.2856 |
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+ | No log | 0.6667 | 10 | 0.8166 | 0.5501 | 0.8177 |
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+ | No log | 0.8 | 12 | 0.6646 | 0.5615 | 0.6656 |
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+ | No log | 0.9333 | 14 | 0.6181 | 0.6308 | 0.6192 |
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+ | No log | 1.0667 | 16 | 0.6395 | 0.7598 | 0.6406 |
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+ | No log | 1.2 | 18 | 0.5961 | 0.7503 | 0.5973 |
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+ | No log | 1.3333 | 20 | 0.5222 | 0.7439 | 0.5233 |
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+ | No log | 1.4667 | 22 | 0.5709 | 0.7564 | 0.5721 |
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+ | No log | 1.6 | 24 | 0.5337 | 0.7493 | 0.5348 |
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+ | No log | 1.7333 | 26 | 0.5381 | 0.7745 | 0.5392 |
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+ | No log | 1.8667 | 28 | 0.5385 | 0.7823 | 0.5395 |
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+ | No log | 2.0 | 30 | 0.5204 | 0.7694 | 0.5215 |
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+ | No log | 2.1333 | 32 | 0.5481 | 0.7727 | 0.5492 |
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+ | No log | 2.2667 | 34 | 0.4767 | 0.7478 | 0.4777 |
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+ | No log | 2.4 | 36 | 0.4552 | 0.7226 | 0.4561 |
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+ | No log | 2.5333 | 38 | 0.4590 | 0.7366 | 0.4599 |
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+ | No log | 2.6667 | 40 | 0.4443 | 0.7177 | 0.4451 |
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+ | No log | 2.8 | 42 | 0.4514 | 0.7415 | 0.4522 |
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+ | No log | 2.9333 | 44 | 0.5579 | 0.8045 | 0.5590 |
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+ | No log | 3.0667 | 46 | 0.7664 | 0.7863 | 0.7678 |
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+ | No log | 3.2 | 48 | 0.6906 | 0.7958 | 0.6919 |
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+ | No log | 3.3333 | 50 | 0.4951 | 0.7710 | 0.4961 |
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+ | No log | 3.4667 | 52 | 0.4583 | 0.7404 | 0.4591 |
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+ | No log | 3.6 | 54 | 0.4705 | 0.7615 | 0.4715 |
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+ | No log | 3.7333 | 56 | 0.4873 | 0.7626 | 0.4884 |
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+ | No log | 3.8667 | 58 | 0.4498 | 0.7546 | 0.4507 |
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+ | No log | 4.0 | 60 | 0.4307 | 0.7203 | 0.4315 |
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+ | No log | 4.1333 | 62 | 0.4439 | 0.7456 | 0.4449 |
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+ | No log | 4.2667 | 64 | 0.4697 | 0.7618 | 0.4707 |
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+ | No log | 4.4 | 66 | 0.4679 | 0.7644 | 0.4689 |
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+ | No log | 4.5333 | 68 | 0.4351 | 0.7431 | 0.4359 |
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+ | No log | 4.6667 | 70 | 0.4379 | 0.7504 | 0.4388 |
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+ | No log | 4.8 | 72 | 0.4599 | 0.7566 | 0.4608 |
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+ | No log | 4.9333 | 74 | 0.4597 | 0.7542 | 0.4606 |
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+ | No log | 5.0667 | 76 | 0.4453 | 0.7436 | 0.4462 |
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+ | No log | 5.2 | 78 | 0.4534 | 0.7462 | 0.4543 |
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+ | No log | 5.3333 | 80 | 0.4416 | 0.7345 | 0.4424 |
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+ | No log | 5.4667 | 82 | 0.4467 | 0.7332 | 0.4475 |
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+ | No log | 5.6 | 84 | 0.4936 | 0.7561 | 0.4946 |
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+ | No log | 5.7333 | 86 | 0.5611 | 0.7947 | 0.5622 |
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+ | No log | 5.8667 | 88 | 0.5154 | 0.7747 | 0.5164 |
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+ | No log | 6.0 | 90 | 0.4950 | 0.7700 | 0.4960 |
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+ | No log | 6.1333 | 92 | 0.4817 | 0.7588 | 0.4827 |
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+ | No log | 6.2667 | 94 | 0.4527 | 0.7499 | 0.4536 |
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+ | No log | 6.4 | 96 | 0.4380 | 0.7228 | 0.4388 |
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+ | No log | 6.5333 | 98 | 0.4383 | 0.7248 | 0.4391 |
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+ | No log | 6.6667 | 100 | 0.4494 | 0.7409 | 0.4502 |
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+ | No log | 6.8 | 102 | 0.4509 | 0.7297 | 0.4518 |
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+ | No log | 6.9333 | 104 | 0.4765 | 0.7516 | 0.4775 |
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+ | No log | 7.0667 | 106 | 0.4854 | 0.7631 | 0.4864 |
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+ | No log | 7.2 | 108 | 0.4991 | 0.7766 | 0.5001 |
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+ | No log | 7.3333 | 110 | 0.5297 | 0.7654 | 0.5308 |
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+ | No log | 7.4667 | 112 | 0.5591 | 0.7862 | 0.5603 |
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+ | No log | 7.6 | 114 | 0.5193 | 0.7711 | 0.5204 |
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+ | No log | 7.7333 | 116 | 0.4710 | 0.7587 | 0.4719 |
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+ | No log | 7.8667 | 118 | 0.4527 | 0.7448 | 0.4536 |
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+ | No log | 8.0 | 120 | 0.4573 | 0.7500 | 0.4582 |
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+ | No log | 8.1333 | 122 | 0.4652 | 0.7567 | 0.4661 |
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+ | No log | 8.2667 | 124 | 0.4728 | 0.7600 | 0.4738 |
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+ | No log | 8.4 | 126 | 0.4700 | 0.7563 | 0.4709 |
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+ | No log | 8.5333 | 128 | 0.4667 | 0.7515 | 0.4677 |
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+ | No log | 8.6667 | 130 | 0.4712 | 0.7538 | 0.4722 |
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+ | No log | 8.8 | 132 | 0.4748 | 0.7555 | 0.4757 |
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+ | No log | 8.9333 | 134 | 0.4694 | 0.7533 | 0.4703 |
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+ | No log | 9.0667 | 136 | 0.4637 | 0.7429 | 0.4646 |
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+ | No log | 9.2 | 138 | 0.4616 | 0.7432 | 0.4625 |
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+ | No log | 9.3333 | 140 | 0.4664 | 0.7454 | 0.4673 |
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+ | No log | 9.4667 | 142 | 0.4737 | 0.7588 | 0.4746 |
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+ | No log | 9.6 | 144 | 0.4748 | 0.7567 | 0.4757 |
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+ | No log | 9.7333 | 146 | 0.4743 | 0.7586 | 0.4752 |
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+ | No log | 9.8667 | 148 | 0.4718 | 0.7597 | 0.4727 |
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+ | No log | 10.0 | 150 | 0.4714 | 0.7597 | 0.4723 |
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  ### Framework versions
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