---
library_name: transformers
license: mit
base_model: pierreguillou/gpt2-small-portuguese
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [pierreguillou/gpt2-small-portuguese](https://huggingface.co/pierreguillou/gpt2-small-portuguese) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.1675

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.0373        | 1.0   | 38   | 4.1597          |
| 3.8691        | 2.0   | 76   | 4.1378          |
| 3.8037        | 3.0   | 114  | 4.1324          |
| 3.6804        | 4.0   | 152  | 4.1340          |
| 3.5658        | 5.0   | 190  | 4.1411          |
| 3.4923        | 6.0   | 228  | 4.1479          |
| 3.3789        | 7.0   | 266  | 4.1537          |
| 3.4002        | 8.0   | 304  | 4.1621          |
| 3.3624        | 9.0   | 342  | 4.1654          |
| 3.3           | 10.0  | 380  | 4.1675          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0