metadata
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
- text: ¿Cómo cocinar?
Wikibot-3001
This model is a fine-tuned version of gpt2 on the 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