transformers pytorch gpt2 text-generation generated_from_trainer base_model:DeepESP/gpt2-spanish license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: mit
base_model: DeepESP/gpt2-spanish
tags:
- generated_from_trainer
model-index:
- name: Julio-Cortazar
  results: []
---

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# 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: 2.4635

## 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: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.625         | 1.0   | 177  | 2.5849          |
| 2.5334        | 2.0   | 354  | 2.5254          |
| 2.4463        | 3.0   | 531  | 2.4991          |
| 2.2868        | 4.0   | 708  | 2.4825          |
| 2.198         | 5.0   | 885  | 2.4753          |
| 2.1981        | 6.0   | 1062 | 2.4707          |
| 2.096         | 7.0   | 1239 | 2.4655          |
| 1.9984        | 8.0   | 1416 | 2.4642          |
| 1.9602        | 9.0   | 1593 | 2.4631          |
| 2.0752        | 10.0  | 1770 | 2.4636          |
| 2.0311        | 11.0  | 1947 | 2.4635          |
| 2.0731        | 12.0  | 2124 | 2.4635          |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
