File size: 820 Bytes
a362b7a bdf37d5 a362b7a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 |
---
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](https://github.com/neuralmind-ai/portuguese-bert/) model with the [MacMorpho](http://nilc.icmc.usp.br/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](https://github.com/lisaterumi/nlp-portuguese-postagger). |