metadata

language: pt
widget:
  - text: Tinha uma pedra no meio do caminho.
  - text: Vamos tomar um café quentinho?
  - text: Como você se chama?
datasets:
  - MacMorpho

POS-Tagger Portuguese

We fine-tuned the BERTimbau model with the MacMorpho corpus for the Post-Tagger task, with 10 epochs, achieving a general F1-Score of 0.9837.

Metrics:

              Precision  Recall  F1    Suport
accuracy                         0.98  33729
macro avg     0.96       0.96    0.96  33729
weighted avg  0.98       0.98    0.98  33729

F1:  0.9837050718155329 Accuracy:  0.98372320555012

Questions?

Please, post a Github issue on the NLP Portuguese POS-Tagger.