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--- |
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library_name: transformers |
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base_model: asafaya/bert-base-arabic |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-base-arabic-TunDC |
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results: [] |
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language: |
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- ar |
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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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# bert-base-arabic-TunDC |
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This model is a fine-tuned version of [asafaya/bert-base-arabic](https://huggingface.co/asafaya/bert-base-arabic) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5931 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.4712 | 1.0 | 1754 | 0.5598 | |
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| 0.3853 | 2.0 | 3508 | 0.5205 | |
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| 0.434 | 3.0 | 5262 | 0.5253 | |
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| 0.6624 | 4.0 | 7016 | 0.6354 | |
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| 0.374 | 5.0 | 8770 | 0.5931 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.1 |
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- Tokenizers 0.21.0 |
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### Classification Report |
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| Metric | Precision | Recall | F1-Score | Support | |
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|--------------|-----------|--------|----------|---------| |
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| **Class 0** | 0.81 | 0.83 | 0.82 | 3311 | |
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| **Class 1** | 0.78 | 0.77 | 0.78 | 2703 | |
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| **Accuracy** | | | 0.80 | 6014 | |
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| **Macro Avg** | 0.80 | 0.80 | 0.80 | 6014 | |
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| **Weighted Avg** | 0.80 | 0.80 | 0.80 | 6014 | |
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