---
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: output
  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. -->

# output

This model is a fine-tuned version of [zhihan1996/DNA_bert_6](https://huggingface.co/zhihan1996/DNA_bert_6) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3879
- Accuracy: 0.8612
- Precision: 0.9154
- Recall: 0.8240
- F1: 0.8673

## 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: 16
- eval_batch_size: 16
- seed: 0
- 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 | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.4958        | 0.46  | 500  | 0.4749          | 0.7831   | 0.7303    | 0.9606 | 0.8298 |
| 0.3928        | 0.93  | 1000 | 0.4086          | 0.8207   | 0.7717    | 0.9574 | 0.8546 |
| 0.3319        | 1.39  | 1500 | 0.3467          | 0.8635   | 0.8664    | 0.8891 | 0.8776 |
| 0.3036        | 1.85  | 2000 | 0.3176          | 0.8702   | 0.8717    | 0.8960 | 0.8836 |
| 0.2383        | 2.31  | 2500 | 0.3403          | 0.8707   | 0.8901    | 0.8728 | 0.8814 |
| 0.2189        | 2.78  | 3000 | 0.3879          | 0.8612   | 0.9154    | 0.8240 | 0.8673 |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Tokenizers 0.13.3