---
license: mit
base_model: DeepESP/gpt2-spanish
tags:
- generated_from_trainer
model-index:
- name: Julio-Cortazar
  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. -->

# Julio-Cortazar

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: 2.1217

## 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: 64
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2442        | 1.0   | 177  | 2.2206          |
| 2.1964        | 2.0   | 354  | 2.1716          |
| 2.1064        | 3.0   | 531  | 2.1494          |
| 1.9843        | 4.0   | 708  | 2.1374          |
| 1.9402        | 5.0   | 885  | 2.1312          |
| 1.9309        | 6.0   | 1062 | 2.1264          |
| 1.8384        | 7.0   | 1239 | 2.1227          |
| 1.7512        | 8.0   | 1416 | 2.1221          |
| 1.742         | 9.0   | 1593 | 2.1215          |
| 1.8728        | 10.0  | 1770 | 2.1217          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0