---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: bioformer-LitCovid-v1.0
  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. -->

# bioformer-LitCovid-v1.0

This model is a fine-tuned version of [bioformers/bioformer-litcovid](https://huggingface.co/bioformers/bioformer-litcovid) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1191
- F1: 0.8969
- Roc Auc: 0.9366
- Accuracy: 0.7895

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
| 0.1209        | 1.0   | 3120  | 0.1164          | 0.8921 | 0.9300  | 0.7863   |
| 0.1058        | 2.0   | 6240  | 0.1163          | 0.8909 | 0.9283  | 0.7825   |
| 0.0795        | 3.0   | 9360  | 0.1135          | 0.8963 | 0.9404  | 0.7881   |
| 0.0649        | 4.0   | 12480 | 0.1156          | 0.8989 | 0.9384  | 0.7953   |
| 0.0504        | 5.0   | 15600 | 0.1191          | 0.8969 | 0.9366  | 0.7895   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3