| # Spanish News Classification Headlines | |
| SNCH: this model was develop by [M47Labs](https://www.m47labs.com/es/) the goal is sequence classification,the base model use was [BETO](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) | |
| trained on private dataset. The model will output the probability of a label('ciencia_tecnologia','clickbait','cultura','deportes','economia','educacion','medio_ambiente', 'opinion','politica', | |
| 'sociedad'), the arquitecture of the NN is only in Pytorch. | |
| # Example of Use | |
| An example on how to use the model in this page can be found in this colab notebook: https://colab.research.google.com/drive/1XsKea6oMyEckye2FePW_XN7Rf8v41Cw_?usp=sharing | |
| # Finetune Hyperparameters | |
| * MAX_LEN = 32 | |
| * TRAIN_BATCH_SIZE = 8 | |
| * VALID_BATCH_SIZE = 4 | |
| * EPOCHS = 5 | |
| * LEARNING_RATE = 1e-05 | |