---
library_name: transformers
base_model: vivym/DNABERT-2-117M
tags:
- generated_from_trainer
model-index:
- name: dnabert2_ft_BioS45_1kbpHG19_DHSs_H3K27AC_one_shot
  results: []
---

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# dnabert2_ft_BioS45_1kbpHG19_DHSs_H3K27AC_one_shot

This model is a fine-tuned version of [vivym/DNABERT-2-117M](https://huggingface.co./vivym/DNABERT-2-117M) on the None dataset.

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 2.18.0
- Tokenizers 0.20.0