metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_resume_pipeline
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8571050892
- name: NER Recall
type: recall
value: 0.8634971368
- name: NER F Score
type: f_score
value: 0.8602892398
| Feature | Description |
|---|---|
| Name | en_resume_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.7.5,<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 | n/a |
Label Scheme
View label scheme (18 labels for 1 components)
| Component | Labels |
|---|---|
ner |
AWARDS, CERTIFICATION, COLLEGE NAME, COMPANIES WORKED AT, CONTACT, DEGREE, DESIGNATION, EMAIL ADDRESS, LANGUAGE, LINKEDIN LINK, LOCATION, NAME, SKILLS, UNIVERSITY, Unlabelled, WORKED AS, YEAR OF GRADUATION, YEARS OF EXPERIENCE |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
86.03 |
ENTS_P |
85.71 |
ENTS_R |
86.35 |
TRANSFORMER_LOSS |
396847.27 |
NER_LOSS |
525302.40 |