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---
tags:
- generated_from_trainer
model-index:
- name: BERT_prediction-6_tokenized
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. -->
# BERT_prediction-6_tokenized
This model is a fine-tuned version of [armheb/DNA_bert_6](https://huggingface.co/armheb/DNA_bert_6) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0326
## 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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0646 | 1.0 | 276 | 0.0370 |
| 0.0386 | 2.0 | 552 | 0.0348 |
| 0.0358 | 3.0 | 828 | 0.0336 |
| 0.0363 | 4.0 | 1104 | 0.0333 |
| 0.0357 | 5.0 | 1380 | 0.0334 |
| 0.0341 | 6.0 | 1656 | 0.0342 |
| 0.0342 | 7.0 | 1932 | 0.0341 |
| 0.0339 | 8.0 | 2208 | 0.0333 |
| 0.0332 | 9.0 | 2484 | 0.0344 |
| 0.0345 | 10.0 | 2760 | 0.0323 |
### Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
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