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# 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

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

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

### Training results



### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "dmis-lab/TinySapBERT-from-TinyPubMedBERT-v1.0", "model-index": [{"name": "BioPharma", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:dmis-lab/TinySapBERT-from-TinyPubMedBERT-v1.0 autotrain_compatible endpoints_compatible region:us