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--- |
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base_model: aubmindlab/bert-base-arabertv2 |
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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: medicalBert |
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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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# medicalBert |
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This model is a fine-tuned version of [aubmindlab/bert-base-arabertv2](https://huggingface.co/aubmindlab/bert-base-arabertv2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0432 |
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- Accuracy: 1.0 |
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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: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 19 | 1.3351 | 0.6579 | |
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| No log | 2.0 | 38 | 0.7920 | 0.8289 | |
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| No log | 3.0 | 57 | 0.4334 | 0.8684 | |
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| No log | 4.0 | 76 | 0.2400 | 0.9605 | |
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| No log | 5.0 | 95 | 0.1408 | 0.9868 | |
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| No log | 6.0 | 114 | 0.1014 | 1.0 | |
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| No log | 7.0 | 133 | 0.0681 | 1.0 | |
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| No log | 8.0 | 152 | 0.0478 | 1.0 | |
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| No log | 9.0 | 171 | 0.0442 | 1.0 | |
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| No log | 10.0 | 190 | 0.0432 | 1.0 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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