lfcc / token-classification updated 1 year ago

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

Params
Context
512
Downloads 30d
452 K
Likes
9
Commercial use: allowed mit Not gated View on Hugging Face ↗

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Specifications

Architecture
BertForTokenClassification
Context length
512
Vocabulary
29,794
Layers / heads
12 / 12
Licence
mit
First seen on the Hub
2022-03-02
Training datasets
undisclosed
Added to our catalog
2026-07-28