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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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metrics: |
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- accuracy |
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model-index: |
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- name: Sfaya-BBA |
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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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# Sfaya-BBA |
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This model is a fine-tuned version of [asafaya/bert-base-arabic](https://huggingface.co/asafaya/bert-base-arabic) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4582 |
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- Accuracy: 0.8677 |
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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: 0.0005 |
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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: 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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 60 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 1.089 | 0.2041 | 100 | 0.5876 | 0.7882 | |
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| 0.5172 | 0.4082 | 200 | 0.4480 | 0.8525 | |
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| 0.5454 | 0.6122 | 300 | 0.4582 | 0.8677 | |
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| 0.5396 | 0.8163 | 400 | 0.5377 | 0.8307 | |
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| 0.932 | 1.0204 | 500 | 1.7065 | 0.4448 | |
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| 1.7739 | 1.2245 | 600 | 1.6662 | 0.4375 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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