metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_parsigs
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8482521186
- name: NER Recall
type: recall
value: 0.8848066298
- name: NER F Score
type: f_score
value: 0.8661438615
| 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 |