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---
tags:
- generated_from_trainer
model-index:
- name: DNA_bert_3-finetuned
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. -->
# DNA_bert_3-finetuned
This model is a fine-tuned version of [armheb/DNA_bert_3](https://huggingface.co/armheb/DNA_bert_3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5788
## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8244 | 1.0 | 62 | 0.6044 |
| 0.5987 | 2.0 | 124 | 0.5933 |
| 0.5915 | 3.0 | 186 | 0.5856 |
| 0.585 | 4.0 | 248 | 0.5844 |
| 0.5817 | 5.0 | 310 | 0.5818 |
| 0.5791 | 6.0 | 372 | 0.5809 |
| 0.5801 | 7.0 | 434 | 0.5807 |
| 0.5768 | 8.0 | 496 | 0.5796 |
| 0.5741 | 9.0 | 558 | 0.5790 |
| 0.574 | 10.0 | 620 | 0.5788 |
### Framework versions
- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1