---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: output
  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. -->

# output

This model is a fine-tuned version of [nferruz/ProtGPT2](https://huggingface.co/nferruz/ProtGPT2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6699
- Accuracy: 0.7571

## 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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 220  | 3.8564          | 0.4857   |
| No log        | 2.0   | 440  | 2.7515          | 0.6096   |
| 4.1568        | 3.0   | 660  | 2.2463          | 0.6780   |
| 4.1568        | 4.0   | 880  | 1.9817          | 0.7152   |
| 2.2818        | 5.0   | 1100 | 1.8278          | 0.7353   |
| 2.2818        | 6.0   | 1320 | 1.7313          | 0.7486   |
| 1.8444        | 7.0   | 1540 | 1.6847          | 0.7553   |
| 1.8444        | 8.0   | 1760 | 1.6699          | 0.7571   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2