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模型:
nicoladisabato/en_roberta_fine_tuned_ner
中文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 |