flaviaggp/pt_lg_pipeline

Modelo para Reconhecimento de Entidade Nomeadas em português utilizando o modelo spaCy pt_core_news_lg

Link do trabalho no Kaggle: https://www.kaggle.com/datasets/flaviagg/lenerbr .

Criei um Web App que proporciona a comparação dos modelos sm e lg: https://huggingface.co/spaces/flaviaggp/Streamlit_Lener .

Métricas por entidade

Feature	Description
Name	pt_lg_pipeline
Version	0.0.0
spaCy	>=3.4.4,<3.5.0
Default Pipeline	tok2vec, ner
Components	tok2vec, ner
Vectors	500000 keys, 500000 unique vectors (300 dimensions)
Sources	n/a
License	n/a
Author	n/a

Label Scheme

View label scheme (6 labels for 1 components)

Component	Labels
ner	JURISPRUDENCIA, LEGISLACAO, LOCAL, ORGANIZACAO, PESSOA, TEMPO

Accuracy

Type	Score
ENTS_F	83.79
ENTS_P	83.98
ENTS_R	83.61
TOK2VEC_LOSS	23620.33
NER_LOSS	127975.46