Feature | Description |
---|---|
Name | en_pipeline_ner_model_2 |
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 |
94.80 |
ENTS_P |
94.71 |
ENTS_R |
94.89 |
TRANSFORMER_LOSS |
406496.45 |
NER_LOSS |
452435.57 |
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Evaluation results
- NER Precisionself-reported0.947
- NER Recallself-reported0.949
- NER F Scoreself-reported0.948