| --- |
| base_model: dmis-lab/TinySapBERT-from-TinyPubMedBERT-v1.0 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| model-index: |
| - name: BioPharma |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # BioPharma |
|
|
| This model is a fine-tuned version of [dmis-lab/TinySapBERT-from-TinyPubMedBERT-v1.0](https://huggingface.co/dmis-lab/TinySapBERT-from-TinyPubMedBERT-v1.0) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4073 |
| - F1: 0.8642 |
|
|
| ## 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: |
| - learning_rate: 1e-06 |
| - train_batch_size: 64 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 1000 |
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| ### Training results |
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| ### Framework versions |
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| - Transformers 4.35.2 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
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