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README.md

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 license: gpl-3.0
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+language:
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+- gl
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+- text: "A minha amiga Rosa, de São Paulo, estudou en Montreal. Agora trabalha em Santiago de Compostela com o Mário."
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+# Named Entity Recognition (NER) model for Portuguese
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+This is a NER model for Portuguese which uses the standard `enamex' classes: LOC (geographical locations); PER (people); ORG (organizations); MISC (other entities).
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+The model is based on [BERTimbau Base](https://huggingface.co/neuralmind/bert-base-portuguese-cased), which has been fine-tuned using a combination of available corpus (see [1] for details).
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+It was trained with a batch size of 8 and a learning rate of 2e-5 during 3 epochs. It achieved the following results on the test set (Precision/Recall/F1): 0.913/0.918/0.915.
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+[1] Pablo Gamallo, Marcos Garcia & Patricia Martín-Rodilla, 2019. [NER and open information extraction for Portuguese notebook for IberLEF 2019 Portuguese named entity recognition and relation extraction tasks](https://ceur-ws.org/Vol-2421/NER_Portuguese_paper_6.pdf). In _Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2019)
+co-located with 35th Conference of the Spanish Society for Natural Language Processing (SEPLN 2019)_: 457-467.