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 0.9826.
Metrics:
Precision Recall F1 Suport
accuracy 0.98 33729
macro avg 0.96 0.95 0.95 33729
weighted avg 0.98 0.98 0.98 33729
F1: 0.9826 Accuracy: 0.9826
Parameters:
nclasses = 27
nepochs = 30
batch_size = 32
batch_status = 32
learning_rate = 1e-5
early_stop = 3
max_length = 200
Tags:
| Tag | Meaning |
|---|---|
| ADJ | Adjetivo |
| ADV | Advérbio |
| ADV-KS | Advérbio conjuntivo subordinado |
| ADV-KS-REL | Advérbio relativo subordinado |
| ART | Artigo |
| CUR | Moeda |
| IN | Interjeição |
| KC | Conjunção coordenativa |
| KS | Conjunção subordinativa |
| N | Substantivo |
| NPROP | Substantivo próprio |
| NUM | Número |
| PCP | Particípio |
| PDEN | Palavra denotativa |
| PREP | Preposição |
| PROADJ | Pronome Adjetivo |
| PRO-KS | Pronome conjuntivo subordinado |
| PRO-KS-REL | Pronome relativo conectivo subordinado |
| PROPESS | Pronome pessoal |
| PROSUB | Pronome nominal |
| V | Verbo |
| VAUX | Verbo auxiliar |
Questions?
Please, post a Github issue on the NLP Portuguese POS-Tagger.
- Downloads last month
- 16
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.