---
library_name: transformers
base_model: zhihan1996/DNABERT-2-117M
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: dnabert_genomic
  results: []
---

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# dnabert_genomic

This model is a fine-tuned version of [zhihan1996/DNABERT-2-117M](https://huggingface.co/zhihan1996/DNABERT-2-117M) on [Genomic_Benchmarks_human_enhancers_cohn](https://huggingface.co/datasets/katarinagresova/Genomic_Benchmarks_human_enhancers_cohn).
It achieves the following results on the evaluation set:
- Loss: 0.4892
- Accuracy: 0.7601

## 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: 1.8621576331491283e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 261  | 0.4974          | 0.7563   |
| 0.5156        | 2.0   | 522  | 0.4951          | 0.7515   |
| 0.5156        | 3.0   | 783  | 0.4892          | 0.7601   |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.2.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3