---
base_model: DeepESP/gpt2-spanish
library_name: transformers
license: mit
tags:
- generated_from_trainer
model-index:
- name: flisol-cba-martin-fierro
  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. -->

# flisol-cba-martin-fierro

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: 3.9095

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.1028        | 1.0   | 9    | 4.3257          |
| 4.2296        | 2.0   | 18   | 4.1607          |
| 3.983         | 3.0   | 27   | 4.0513          |
| 3.838         | 4.0   | 36   | 3.9989          |
| 3.6462        | 5.0   | 45   | 3.9705          |
| 3.5612        | 6.0   | 54   | 3.9456          |
| 3.432         | 7.0   | 63   | 3.9310          |
| 3.3604        | 8.0   | 72   | 3.9196          |
| 3.2739        | 9.0   | 81   | 3.9135          |
| 3.2296        | 10.0  | 90   | 3.9082          |
| 3.1513        | 11.0  | 99   | 3.9078          |
| 3.0913        | 12.0  | 108  | 3.9057          |
| 3.054         | 13.0  | 117  | 3.9072          |
| 2.9832        | 14.0  | 126  | 3.9052          |
| 2.9653        | 15.0  | 135  | 3.9060          |
| 2.9376        | 16.0  | 144  | 3.9050          |
| 2.9133        | 17.0  | 153  | 3.9070          |
| 2.917         | 18.0  | 162  | 3.9082          |
| 2.8816        | 19.0  | 171  | 3.9093          |
| 2.8821        | 20.0  | 180  | 3.9095          |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.3.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1