metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_pipeline
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.7398230088
- name: NER Recall
type: recall
value: 0.7813084112
- name: NER F Score
type: f_score
value: 0.76
Feature | Description |
---|---|
Name | en_pipeline |
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 | Shivabasayya B Hiremath |
Label Scheme
View label scheme (9 labels for 1 components)
Component | Labels |
---|---|
ner |
CANDIDATE_NAME , COLLEGE NAME , DEGREE , DESIGNATION , EMAIL , EXPERIENCE , PERSONAL_INFORMATION , PHONE NUMBER , TOTAL_YEAR_OF_EXPERIENCE |
Accuracy
Type | Score |
---|---|
ENTS_F |
76.00 |
ENTS_P |
73.98 |
ENTS_R |
78.13 |
TRANSFORMER_LOSS |
11050.92 |
NER_LOSS |
13635.61 |