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# contrast_classifier_bio_bert

This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1097
- Accuracy: 0.9857

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0075        | 1.0   | 18   | 0.2757          | 0.9286   |
| 0.0024        | 2.0   | 36   | 0.5377          | 0.8429   |
| 0.0009        | 3.0   | 54   | 0.1979          | 0.9714   |
| 0.0006        | 4.0   | 72   | 0.1630          | 0.9714   |
| 0.0004        | 5.0   | 90   | 0.1114          | 0.9857   |
| 0.0004        | 6.0   | 108  | 0.1033          | 0.9857   |
| 0.0003        | 7.0   | 126  | 0.1036          | 0.9857   |
| 0.0003        | 8.0   | 144  | 0.1067          | 0.9857   |
| 0.0003        | 9.0   | 162  | 0.1095          | 0.9857   |
| 0.0003        | 10.0  | 180  | 0.1094          | 0.9857   |
| 0.0002        | 11.0  | 198  | 0.1096          | 0.9857   |
| 0.0002        | 12.0  | 216  | 0.1097          | 0.9857   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "dmis-lab/biobert-v1.1", "model-index": [{"name": "contrast_classifier_bio_bert", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:dmis-lab/biobert-v1.1 autotrain_compatible endpoints_compatible region:us