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---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: Wikibot-3000
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-3000
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: 2.4600
## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1557 | 1.0 | 2975 | 2.8779 |
| 2.6515 | 2.0 | 5950 | 2.5434 |
| 2.5112 | 3.0 | 8925 | 2.4600 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3 |