| Feature | Description |
|---|---|
| Name | en_spacy_ner_finetuned_news_article |
| Version | 0.0.0 |
| spaCy | >=3.5.2,<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 | n/a |
Label Scheme
View label scheme (15 labels for 1 components)
| Component | Labels |
|---|---|
ner |
EVENT, FAC, GPE, LAW, LOC, MONEY, NORP, ORDINAL, ORG, PERCENT, PERSON, PRODUCT, QUANTITY, TIME, WORK_OF_ART |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
98.44 |
ENTS_P |
98.66 |
ENTS_R |
98.23 |
TRANSFORMER_LOSS |
18923.26 |
NER_LOSS |
21258.62 |
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Evaluation results
- NER Precisionself-reported0.987
- NER Recallself-reported0.982
- NER F Scoreself-reported0.984