lfcc / token-classification Open weights updated 2 years ago

bert-portuguese-ner

Name: bert-portuguese-ner
Author: lfcc

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

232 K

Likes

Commercial use: allowed mit Not gated View on Hugging Face ↗

Download history

daily snapshots · 106 days

▲ 40 K in the last 30 days (14.8%)

1.1 M232 K

Jul 28Sep 1Oct 6Nov 10

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

Compare with any token-classification model

Popular comparisons

indonesian-roberta-base-posp-tagger 3.6 M stanford-deidentifier-base 1.5 M bert-base-NER 1.1 M piiranha-v1-detect-personal-information 229 K KoELECTRA-small-v3-modu-ner 220 K bert-base-multilingual-cased-ner-hrl 204 K