---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: BioLinkBERT-LitCovid-v1.1
  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. -->

# BioLinkBERT-LitCovid-v1.1

This model is a fine-tuned version of [michiyasunaga/BioLinkBERT-base](https://huggingface.co/michiyasunaga/BioLinkBERT-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1070
- F1: 0.9009
- Roc Auc: 0.9439
- Accuracy: 0.7915

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| 0.119         | 1.0   | 1560 | 0.1121          | 0.8949 | 0.9366  | 0.7857   |
| 0.0994        | 2.0   | 3120 | 0.1050          | 0.8999 | 0.9335  | 0.7934   |
| 0.0745        | 3.0   | 4680 | 0.1070          | 0.9009 | 0.9439  | 0.7915   |
| 0.0584        | 4.0   | 6240 | 0.1132          | 0.8986 | 0.9367  | 0.7900   |
| 0.0445        | 5.0   | 7800 | 0.1183          | 0.8993 | 0.9385  | 0.7886   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3