---
base_model: zhihan1996/DNABERT-2-117M
tags:
- generated_from_trainer
model-index:
- name: content
  results: []
---

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# content

This model is a fine-tuned version of [zhihan1996/DNABERT-2-117M](https://huggingface.co/zhihan1996/DNABERT-2-117M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2180
- F1 Macro: 0.3388

## 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: 0.0005
- train_batch_size: 8
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000

### Training results

| Training Loss | Epoch  | Step | Validation Loss | F1 Macro |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.4189        | 0.2703 | 100  | 1.5083          | 0.0814   |
| 1.4284        | 0.5405 | 200  | 1.3513          | 0.1275   |
| 1.2829        | 0.8108 | 300  | 1.3179          | 0.1390   |
| 1.2192        | 1.0811 | 400  | 1.3522          | 0.2334   |
| 1.3097        | 1.3514 | 500  | 1.2843          | 0.2224   |
| 1.1668        | 1.6216 | 600  | 1.2668          | 0.2025   |
| 1.1595        | 1.8919 | 700  | 1.2268          | 0.2690   |
| 1.1336        | 2.1622 | 800  | 1.2596          | 0.2985   |
| 1.063         | 2.4324 | 900  | 1.2370          | 0.2709   |
| 1.0497        | 2.7027 | 1000 | 1.2180          | 0.3388   |


### Framework versions

- Transformers 4.41.0
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1