Feature | Description |
---|---|
Name | en_parsigs |
Version | 0.0.0 |
spaCy | >=3.5.0,<3.6.0 |
Default Pipeline | transformer , ner |
Components | transformer , ner |
Author | royashcenazi |
Label Scheme
View label scheme (6 labels for 1 components)
Component | Labels |
---|---|
ner |
Dosage , Drug , Duration , Form , Frequency , Strength |
Accuracy
Type | Score |
---|---|
ENTS_F |
86.61 |
ENTS_P |
84.83 |
ENTS_R |
88.48 |
TRANSFORMER_LOSS |
5347024.15 |
NER_LOSS |
3459290.82 |
- Downloads last month
- 19
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Evaluation results
- NER Precisionself-reported0.848
- NER Recallself-reported0.885
- NER F Scoreself-reported0.866