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bert-base-pt-ner-enamex
marcosgg/bert-base-pt-ner-enamex
bert-base-pt-ner-enamex is a token classification model from marcosgg. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as agpl-3.0.
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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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- agpl-3.0
- Model type
- bert
- Access
- Public
- Created
- Dec 5, 2022
- Updated
- Feb 9, 2023
- SHA
- 2702b833
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Model card
From the Hugging Face model README
Named Entity Recognition (NER) model for Portuguese
This is a NER model for Portuguese which uses the standard 'enamex' classes: LOC (geographical locations); PER (people); ORG (organizations); MISC (other entities).
The model is based on BERTimbau Base, which has been fine-tuned using a combination of available corpora (see [1] for details).
There is an alternative model trained using BERTimbau Large: bert-large-pt-ner-enamex.
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.
[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. 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.
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- agpl-3.0
- Languages
- pt, gl
- Created
- Dec 5, 2022
- Updated
- Feb 9, 2023