bert-portuguese-ner

This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased It achieves the following results on the evaluation set: - Loss: 0.1140 - Precision: 0.9147 - Recall: 0.9483 - F1: 0.9312 - Accuracy: 0.9700 This model was fine-tunned on token classification task (NER) on Portuguese archival documents. The annotated labels are: Date, Profession, Person, Place, Organization All the training and evaluation data is available at: http://ner.epl.di.uminho.pt/

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