---
license: mit
base_model: Zagusan/Wikibot-3001
tags:
- generated_from_trainer
model-index:
- name: Wikibot-3001
  results: []
datasets:
- mapama247/wikihow_es
language:
- es
pipeline_tag: text-generation
widget:
 - text: "Hola. ¿Cómo estás?"
 - text: "¿Cómo cocinar?"
 - text: "¿Cómo hornear un pastel?"
 - text: "¿Cómo hacer una investigación?"
 - text: "Método 1:"
---

<!-- 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. -->

# Wikibot-3001

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the [mapama247/wikihow_es](https://huggingface.co/datasets/mapama247/wikihow_es) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9422

## 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: 32
- seed: 42
- distributed_type: tpu
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.7432        | 1.0   | 5950  | 2.6109          |
| 2.3556        | 2.0   | 11900 | 2.3059          |
| 2.1872        | 3.0   | 17850 | 2.1738          |
| 2.0891        | 4.0   | 23800 | 2.0990          |
| 2.0306        | 5.0   | 29750 | 2.0579          |
| 1.9975        | 6.0   | 35700 | 2.0395          |
| 1.9909        | 7.0   | 5950  | 2.0208          |
| 1.8924        | 8.0   | 11900 | 1.9678          |
| 1.8281        | 9.0   | 17850 | 1.9422          |
| 1.8376        | 10.0  | 5950  | 1.9576          |
| 1.7802        | 11.0  | 11900 | 1.9212          |
| 1.7465        | 12.0  | 17850 | 1.8996          |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3