metadata

language:
  - gn
  - es
license: mit
datasets:
  - wikipedia
  - wiktionary
widget:
  - text: 'Paraguay ha''e peteĩ táva oĩva [MASK] retãme  '
  - text: Augusto Roa Bastos ha'e peteĩ [MASK] arandu
metrics:
  - f1
  - accuracy

BETO+gn-base-cased

BETO-base-cased (pre-trained Spanish BERT model) fine-tuned for Guarani language modeling (Spanish + Guarani). Trained on Wikipedia + Wiktionary (~800K tokens).

How cite?

@article{aguero-et-al2023multi-affect-low-langs-grn,
  title={Multidimensional Affective Analysis for Low-resource Languages: A Use Case with Guarani-Spanish Code-switching Language},
  author={Agüero-Torales, Marvin Matías, López-Herrera, Antonio Gabriel, and Vilares, David},
  journal={Cognitive Computation},
  year={2023},
  publisher={Springer},
  notes={Forthcoming}
}