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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Bio_ClinicalBERT-finetuned-medicalcondition |
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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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# Bio_ClinicalBERT-finetuned-medicalcondition |
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This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7201 |
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- F1 Score: 0.8254 |
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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: 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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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 Score | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.8002 | 1.0 | 1772 | 0.6327 | 0.7759 | |
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| 0.5933 | 2.0 | 3544 | 0.5906 | 0.7934 | |
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| 0.5015 | 3.0 | 5316 | 0.5768 | 0.8033 | |
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| 0.4265 | 4.0 | 7088 | 0.5792 | 0.8099 | |
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| 0.3698 | 5.0 | 8860 | 0.6030 | 0.8109 | |
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| 0.3229 | 6.0 | 10632 | 0.6366 | 0.8167 | |
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| 0.2907 | 7.0 | 12404 | 0.6671 | 0.8198 | |
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| 0.2649 | 8.0 | 14176 | 0.6850 | 0.8237 | |
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| 0.2477 | 9.0 | 15948 | 0.7072 | 0.8247 | |
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| 0.2348 | 10.0 | 17720 | 0.7201 | 0.8254 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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