---
library_name: transformers
license: mit
base_model: DeepESP/gpt2-spanish
tags:
- generated_from_trainer
model-index:
- name: TisaleoGPT
  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. -->

# TisaleoGPT

This model is a fine-tuned version of [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5160

## 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: 8
- eval_batch_size: 8
- 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

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 63   | 0.7947          |
| No log        | 2.0   | 126  | 0.6617          |
| No log        | 3.0   | 189  | 0.6009          |
| No log        | 4.0   | 252  | 0.5688          |
| No log        | 5.0   | 315  | 0.5466          |
| No log        | 6.0   | 378  | 0.5336          |
| No log        | 7.0   | 441  | 0.5241          |
| 0.6646        | 8.0   | 504  | 0.5199          |
| 0.6646        | 9.0   | 567  | 0.5167          |
| 0.6646        | 10.0  | 630  | 0.5160          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Tokenizers 0.21.0