nicoladisabato/en_roberta_fine_tuned_ner

This is a roBERTa model for Named Entity Recognition, fine-tuned on OntoNotes v5 using Spacy in coNLL-2003 format and BIO tagged. For more details: https://github.com/nicoladisabato/ner-with-transformers

Feature	Description
Name	en_roberta_fine_tuned_ner
Version	0.0.0
spaCy	>=3.5.0,<3.6.0
Default Pipeline	transformer, ner
Components	transformer, ner
Vectors	0 keys, 0 unique vectors (0 dimensions)
Sources	n/a
License	n/a
Author	Nicola Disabato

Label Scheme

View label scheme (18 labels for 1 components)

Component	Labels
ner	CARDINAL, DATE, EVENT, FAC, GPE, LANGUAGE, LAW, LOC, MONEY, NORP, ORDINAL, ORG, PERCENT, PERSON, PRODUCT, QUANTITY, TIME, WORK_OF_ART

Accuracy

Type	Score
ENTS_F	89.44
ENTS_P	89.37
ENTS_R	89.50
TRANSFORMER_LOSS	294822.05
NER_LOSS	316133.78