---
base_model: dmis-lab/biobert-v1.1
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: modality_classifier_biobert_f1_micro_v0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# modality_classifier_biobert_f1_micro_v0

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: 0.0563
- F1: 0.9881

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.014         | 1.0   | 849  | 0.0550          | 0.9894 |
| 0.0024        | 2.0   | 1698 | 0.0597          | 0.9881 |
| 0.0012        | 3.0   | 2547 | 0.0563          | 0.9881 |


### Framework versions

- Transformers 4.39.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2