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arabert_cross_organization_task1_fold4

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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_fold4
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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_fold4
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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: 0.5061
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- - Qwk: 0.7368
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- - Mse: 0.5061
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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 | 0.0328 | 2 | 1.7625 | 0.0131 | 1.7625 |
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- | No log | 0.0656 | 4 | 1.2974 | 0.1574 | 1.2974 |
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- | No log | 0.0984 | 6 | 1.1703 | 0.2475 | 1.1703 |
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- | No log | 0.1311 | 8 | 1.0564 | 0.3000 | 1.0564 |
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- | No log | 0.1639 | 10 | 0.9383 | 0.4210 | 0.9383 |
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- | No log | 0.1967 | 12 | 0.8425 | 0.4567 | 0.8425 |
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- | No log | 0.2295 | 14 | 0.7263 | 0.5376 | 0.7263 |
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- | No log | 0.2623 | 16 | 0.6168 | 0.5918 | 0.6168 |
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- | No log | 0.2951 | 18 | 0.5971 | 0.5839 | 0.5971 |
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- | No log | 0.3279 | 20 | 0.5760 | 0.5860 | 0.5760 |
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- | No log | 0.3607 | 22 | 0.5698 | 0.5815 | 0.5698 |
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- | No log | 0.3934 | 24 | 0.5929 | 0.5547 | 0.5929 |
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- | No log | 0.4262 | 26 | 0.5995 | 0.5543 | 0.5995 |
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- | No log | 0.4590 | 28 | 0.5876 | 0.5581 | 0.5876 |
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- | No log | 0.4918 | 30 | 0.5672 | 0.5623 | 0.5672 |
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- | No log | 0.5246 | 32 | 0.5560 | 0.5832 | 0.5560 |
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- | No log | 0.5574 | 34 | 0.5454 | 0.5915 | 0.5454 |
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- | No log | 0.5902 | 36 | 0.5422 | 0.6339 | 0.5422 |
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- | No log | 0.6230 | 38 | 0.5404 | 0.6409 | 0.5404 |
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- | No log | 0.6557 | 40 | 0.5442 | 0.6583 | 0.5442 |
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- | No log | 0.6885 | 42 | 0.5328 | 0.6683 | 0.5328 |
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- | No log | 0.7213 | 44 | 0.5111 | 0.6787 | 0.5111 |
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- | No log | 0.7541 | 46 | 0.4983 | 0.6684 | 0.4983 |
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- | No log | 0.7869 | 48 | 0.4972 | 0.7077 | 0.4972 |
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- | No log | 0.8197 | 50 | 0.5022 | 0.7181 | 0.5022 |
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- | No log | 0.8525 | 52 | 0.5040 | 0.7187 | 0.5040 |
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- | No log | 0.8852 | 54 | 0.5035 | 0.7307 | 0.5035 |
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- | No log | 0.9180 | 56 | 0.5087 | 0.7368 | 0.5087 |
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- | No log | 0.9508 | 58 | 0.5084 | 0.7368 | 0.5084 |
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- | No log | 0.9836 | 60 | 0.5061 | 0.7368 | 0.5061 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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_fold3
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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_fold3
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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: 0.5415
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+ - Qwk: 0.7472
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+ - Mse: 0.5415
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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 | 1.8315 | 0.1530 | 1.8315 |
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+ | No log | 0.2667 | 4 | 1.4232 | 0.1303 | 1.4232 |
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+ | No log | 0.4 | 6 | 1.3057 | 0.4221 | 1.3057 |
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+ | No log | 0.5333 | 8 | 0.9837 | 0.5056 | 0.9837 |
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+ | No log | 0.6667 | 10 | 0.9513 | 0.7091 | 0.9513 |
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+ | No log | 0.8 | 12 | 0.8371 | 0.7415 | 0.8371 |
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+ | No log | 0.9333 | 14 | 0.7233 | 0.6918 | 0.7233 |
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+ | No log | 1.0667 | 16 | 0.6922 | 0.7196 | 0.6922 |
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+ | No log | 1.2 | 18 | 0.6535 | 0.7225 | 0.6535 |
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+ | No log | 1.3333 | 20 | 0.6214 | 0.6382 | 0.6214 |
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+ | No log | 1.4667 | 22 | 0.6214 | 0.6481 | 0.6214 |
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+ | No log | 1.6 | 24 | 0.6577 | 0.6929 | 0.6577 |
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+ | No log | 1.7333 | 26 | 0.6144 | 0.6652 | 0.6144 |
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+ | No log | 1.8667 | 28 | 0.7474 | 0.5722 | 0.7474 |
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+ | No log | 2.0 | 30 | 0.6810 | 0.6294 | 0.6810 |
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+ | No log | 2.1333 | 32 | 0.6202 | 0.7358 | 0.6202 |
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+ | No log | 2.2667 | 34 | 0.6151 | 0.6751 | 0.6151 |
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+ | No log | 2.4 | 36 | 0.6002 | 0.6738 | 0.6002 |
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+ | No log | 2.5333 | 38 | 0.5749 | 0.7000 | 0.5749 |
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+ | No log | 2.6667 | 40 | 0.5666 | 0.7675 | 0.5666 |
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+ | No log | 2.8 | 42 | 0.6051 | 0.7937 | 0.6051 |
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+ | No log | 2.9333 | 44 | 0.5435 | 0.7839 | 0.5435 |
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+ | No log | 3.0667 | 46 | 0.5462 | 0.6799 | 0.5462 |
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+ | No log | 3.2 | 48 | 0.5199 | 0.7618 | 0.5199 |
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+ | No log | 3.3333 | 50 | 0.5686 | 0.7827 | 0.5686 |
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+ | No log | 3.4667 | 52 | 0.5681 | 0.7750 | 0.5681 |
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+ | No log | 3.6 | 54 | 0.5202 | 0.7756 | 0.5202 |
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+ | No log | 3.7333 | 56 | 0.5295 | 0.7412 | 0.5295 |
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+ | No log | 3.8667 | 58 | 0.5478 | 0.7632 | 0.5478 |
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+ | No log | 4.0 | 60 | 0.5733 | 0.7573 | 0.5733 |
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+ | No log | 4.1333 | 62 | 0.6257 | 0.7566 | 0.6257 |
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+ | No log | 4.2667 | 64 | 0.5977 | 0.7451 | 0.5977 |
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+ | No log | 4.4 | 66 | 0.6316 | 0.6778 | 0.6316 |
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+ | No log | 4.5333 | 68 | 0.5693 | 0.7216 | 0.5693 |
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+ | No log | 4.6667 | 70 | 0.5614 | 0.7730 | 0.5614 |
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+ | No log | 4.8 | 72 | 0.5561 | 0.7771 | 0.5561 |
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+ | No log | 4.9333 | 74 | 0.5439 | 0.7692 | 0.5439 |
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+ | No log | 5.0667 | 76 | 0.5722 | 0.7788 | 0.5722 |
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+ | No log | 5.2 | 78 | 0.5816 | 0.7777 | 0.5816 |
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+ | No log | 5.3333 | 80 | 0.5828 | 0.7436 | 0.5828 |
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+ | No log | 5.4667 | 82 | 0.5916 | 0.6944 | 0.5916 |
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+ | No log | 5.6 | 84 | 0.5655 | 0.7296 | 0.5655 |
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+ | No log | 5.7333 | 86 | 0.5767 | 0.7728 | 0.5767 |
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+ | No log | 5.8667 | 88 | 0.5590 | 0.7795 | 0.5590 |
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+ | No log | 6.0 | 90 | 0.5207 | 0.7385 | 0.5207 |
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+ | No log | 6.1333 | 92 | 0.5177 | 0.7374 | 0.5177 |
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+ | No log | 6.2667 | 94 | 0.5230 | 0.7756 | 0.5230 |
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+ | No log | 6.4 | 96 | 0.5599 | 0.7771 | 0.5599 |
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+ | No log | 6.5333 | 98 | 0.5687 | 0.7802 | 0.5687 |
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+ | No log | 6.6667 | 100 | 0.5450 | 0.7589 | 0.5450 |
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+ | No log | 6.8 | 102 | 0.5470 | 0.7329 | 0.5470 |
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+ | No log | 6.9333 | 104 | 0.5539 | 0.7073 | 0.5539 |
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+ | No log | 7.0667 | 106 | 0.5586 | 0.7035 | 0.5586 |
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+ | No log | 7.2 | 108 | 0.5647 | 0.7449 | 0.5647 |
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+ | No log | 7.3333 | 110 | 0.5807 | 0.7533 | 0.5807 |
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+ | No log | 7.4667 | 112 | 0.5667 | 0.7369 | 0.5667 |
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+ | No log | 7.6 | 114 | 0.5602 | 0.7153 | 0.5602 |
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+ | No log | 7.7333 | 116 | 0.5570 | 0.7251 | 0.5570 |
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+ | No log | 7.8667 | 118 | 0.5524 | 0.7335 | 0.5524 |
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+ | No log | 8.0 | 120 | 0.5563 | 0.7569 | 0.5563 |
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+ | No log | 8.1333 | 122 | 0.5503 | 0.7474 | 0.5503 |
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+ | No log | 8.2667 | 124 | 0.5434 | 0.7544 | 0.5434 |
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+ | No log | 8.4 | 126 | 0.5579 | 0.7695 | 0.5579 |
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+ | No log | 8.5333 | 128 | 0.5668 | 0.7794 | 0.5668 |
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+ | No log | 8.6667 | 130 | 0.5537 | 0.7567 | 0.5537 |
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+ | No log | 8.8 | 132 | 0.5391 | 0.7511 | 0.5391 |
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+ | No log | 8.9333 | 134 | 0.5365 | 0.7457 | 0.5365 |
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+ | No log | 9.0667 | 136 | 0.5367 | 0.7452 | 0.5367 |
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+ | No log | 9.2 | 138 | 0.5391 | 0.7439 | 0.5391 |
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+ | No log | 9.3333 | 140 | 0.5431 | 0.7438 | 0.5431 |
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+ | No log | 9.4667 | 142 | 0.5435 | 0.7438 | 0.5435 |
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+ | No log | 9.6 | 144 | 0.5455 | 0.7477 | 0.5455 |
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+ | No log | 9.7333 | 146 | 0.5440 | 0.7438 | 0.5440 |
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+ | No log | 9.8667 | 148 | 0.5422 | 0.7427 | 0.5422 |
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+ | No log | 10.0 | 150 | 0.5415 | 0.7472 | 0.5415 |
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  ### Framework versions
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