Feature | Description |
---|---|
Name | en_pipeline_ner_model_1 |
Version | 0.0.0 |
spaCy | >=3.7.2,<3.8.0 |
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 (4 labels for 1 components)
Component | Labels |
---|---|
ner |
allergy_name , cancer , chronic_disease , treatment |
Accuracy
Type | Score |
---|---|
ENTS_F |
77.99 |
ENTS_P |
76.54 |
ENTS_R |
79.50 |
TRANSFORMER_LOSS |
247453.05 |
NER_LOSS |
312090.30 |
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Evaluation results
- NER Precisionself-reported0.765
- NER Recallself-reported0.795
- NER F Scoreself-reported0.780