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nicoladisabato/en_roberta_fine_tuned_ner
en_roberta_fine_tuned_ner is a token classification model from nicoladisabato. Use it when you need labels on individual words, such as names. It is set up for spacy.
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
Downloads · 30 days
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From the Hugging Face model README
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 |
| Component | Labels |
|---|---|
ner | CARDINAL, DATE, EVENT, FAC, GPE, LANGUAGE, LAW, LOC, MONEY, NORP, ORDINAL, ORG, PERCENT, PERSON, PRODUCT, QUANTITY, TIME, WORK_OF_ART |
| Type | Score |
|---|---|
ENTS_F | 89.44 |
ENTS_P | 89.37 |
ENTS_R | 89.50 |
TRANSFORMER_LOSS | 294822.05 |
NER_LOSS | 316133.78 |