---
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bio_bert_ft
  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. -->

# bio_bert_ft

This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0747
- F1: 0.8621

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0879        | 1.0   | 170  | 0.0400          | 0.8312 |
| 0.0211        | 2.0   | 340  | 0.0454          | 0.8413 |
| 0.0105        | 3.0   | 510  | 0.0503          | 0.8603 |
| 0.0045        | 4.0   | 680  | 0.0497          | 0.8496 |
| 0.0028        | 5.0   | 850  | 0.0759          | 0.8387 |
| 0.0019        | 6.0   | 1020 | 0.0654          | 0.8598 |
| 0.0011        | 7.0   | 1190 | 0.0667          | 0.8654 |
| 0.0005        | 8.0   | 1360 | 0.0702          | 0.8621 |
| 0.0003        | 9.0   | 1530 | 0.0739          | 0.8596 |
| 0.0002        | 10.0  | 1700 | 0.0747          | 0.8621 |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1