metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_t2_pipeline
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9840809754
- name: NER Recall
type: recall
value: 0.9802474794
- name: NER F Score
type: f_score
value: 0.9821604867
Feature | Description |
---|---|
Name | en_t2_pipeline |
Version | 0.0.0 |
spaCy | >=3.7.2,<3.8.0 |
Default Pipeline | tok2vec , ner |
Components | tok2vec , ner |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | n/a |
License | n/a |
Author | n/a |
Label Scheme
View label scheme (5 labels for 1 components)
Component | Labels |
---|---|
ner |
Other , allergy_name , cancer , chronic_disease , treatment |
Accuracy
Type | Score |
---|---|
ENTS_F |
98.22 |
ENTS_P |
98.41 |
ENTS_R |
98.02 |
TOK2VEC_LOSS |
747277.39 |
NER_LOSS |
462952.49 |