metadata
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:'
Wikibot-3000
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: 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