metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_gendered_job_advertisements
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.996487707
- name: NER Recall
type: recall
value: 0.9897832046
- name: NER F Score
type: f_score
value: 0.9931241405
Feature | Description |
---|---|
Name | en_gendered_job_advertisements |
Version | 0.0.0 |
spaCy | >=3.3.1,<3.4.0 |
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 (2 labels for 1 components)
Component | Labels |
---|---|
ner |
FEM , MAS |
Accuracy
Type | Score |
---|---|
ENTS_F |
99.31 |
ENTS_P |
99.65 |
ENTS_R |
98.98 |
TOK2VEC_LOSS |
877.83 |
NER_LOSS |
897.35 |