Model overview
**ner-bert-base-portuguese-cased-lenerbr** is a NER model (token classification) in the legal domain in Portuguese that was finetuned on 20/12/2021 in Google Colab from the model pierreguillou/bert-base-cased-pt-lenerbr on the dataset LeNER_br by using a NER objective. Due to the small size of BERTimbau base and finetuning dataset, the model overfitted before to reach the end of training. Here are the overall final metrics on the validation dataset (*note: see the paragraph "Validation metrics by Named Entity" to get detailed metrics*): - **f1**: 0.8926146010186757 - **precision**: 0.8810222036028488 - **recall**: 0.9045161290322581 - **accuracy**: 0.9759397808828684 - **loss**: 0.18803243339061737 **Note**: the model pierreguillou/bert-base-cased-pt-lenerbr is a language model that was created through the finetuning of the model BERTimbau base on the dataset LeNER-Br language modeling by using a MASK objective. This first specialization of the language model before finetuning on the NER task improved a bit the model quality. To prove it, here are the results of the NER model finetuned from the model BERTimbau base (a non-specialized language model): - **f1**: 0.8716487228203504 - **precision**: 0.8559286898839138 - **recall**: 0.8879569892473118 - **accuracy**: 0.9755893153732458 - **loss**: 0.1133928969502449
Key features
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Limitations & considerations
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Public benchmarks & run configuration
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Sources & traceability
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