---
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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9067

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.3864        | 1.0   | 18   | 4.2025          |
| 3.948         | 2.0   | 36   | 4.0440          |
| 3.7962        | 3.0   | 54   | 3.9804          |
| 3.6105        | 4.0   | 72   | 3.9458          |
| 3.4444        | 5.0   | 90   | 3.9280          |
| 3.3855        | 6.0   | 108  | 3.9192          |
| 3.3142        | 7.0   | 126  | 3.9091          |
| 3.2192        | 8.0   | 144  | 3.9074          |
| 3.1615        | 9.0   | 162  | 3.9070          |
| 3.1637        | 10.0  | 180  | 3.9067          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cpu
- Datasets 2.11.0
- Tokenizers 0.13.3