---
tags:
- generated_from_trainer
model-index:
- name: prot_bert-finetuned-sp6
  results: []
---

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# prot_bert-finetuned-sp6

This model is a fine-tuned version of [Rostlab/prot_bert](https://huggingface.co/Rostlab/prot_bert) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4070

## 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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5027        | 1.0   | 164  | 0.4666          |
| 0.3927        | 2.0   | 328  | 0.4328          |
| 0.3348        | 3.0   | 492  | 0.4072          |


### Framework versions

- Transformers 4.13.0.dev0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.10.3