| | --- |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: Prediccion_titulos |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information Keras had access to. You should |
| | probably proofread and complete it, then remove this comment. --> |
| |
|
| | # Prediccion_titulos |
| | |
| | Este modelo predice los encabezados de las noticias |
| | |
| | |
| | ## Model description |
| | |
| | Este modelo fue entrenado con un Transformador T5 y una base de datos en español |
| | |
| | ## Intended uses & limitations |
| | |
| | More information needed |
| | |
| | ## Training and evaluation data |
| | |
| | Los datos fueron tomado del siguiente dataset de Kaggle : https://www.kaggle.com/datasets/josemamuiz/noticias-laraznpblico, el cual es un conjunto de datos se extrajo de las webs de periódicos españoles |
| | |
| | ## Training procedure |
| | |
| | ### Training hyperparameters |
| | |
| | The following hyperparameters were used during training: |
| | - optimizer: None |
| | - training_precision: float32 |
| |
|
| | ### Training results |
| |
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| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.19.2 |
| | - TensorFlow 2.8.2 |
| | - Datasets 2.2.2 |
| | - Tokenizers 0.12.1 |
| |
|
