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  # POS-Tagger Portuguese
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- 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.
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  Metrics:
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  ```
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  Precision Recall F1 Suport
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  accuracy 0.98 33729
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- macro avg 0.96 0.96 0.96 33729
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  weighted avg 0.98 0.98 0.98 33729
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- F1: 0.9837050718155329 Accuracy: 0.98372320555012
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  ```
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  ## Questions?
 
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  # POS-Tagger Portuguese
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+ 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 0.9826.
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  Metrics:
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  ```
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  Precision Recall F1 Suport
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  accuracy 0.98 33729
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+ macro avg 0.96 0.95 0.95 33729
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  weighted avg 0.98 0.98 0.98 33729
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+ F1: 0.9826 Accuracy: 0.9826
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  ```
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  ## Questions?