---
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: 0.3966
- Accuracy: 0.8492
- Precision: 0.8807
- Recall: 0.8283
- F1: 0.8537

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.4859        | 0.41  | 500  | 0.4180          | 0.8001   | 0.8552    | 0.7506 | 0.7995 |
| 0.3937        | 0.81  | 1000 | 0.4044          | 0.8217   | 0.8871    | 0.7612 | 0.8193 |
| 0.3426        | 1.22  | 1500 | 0.3740          | 0.8340   | 0.8765    | 0.8    | 0.8365 |
| 0.3068        | 1.63  | 2000 | 0.3839          | 0.8398   | 0.8808    | 0.8077 | 0.8426 |
| 0.2757        | 2.04  | 2500 | 0.4260          | 0.8386   | 0.8181    | 0.8950 | 0.8548 |
| 0.2211        | 2.44  | 3000 | 0.3966          | 0.8492   | 0.8807    | 0.8283 | 0.8537 |


### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2