metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_cv_info_extr
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8333333333
- name: NER Recall
type: recall
value: 0.8067729084
- name: NER F Score
type: f_score
value: 0.8198380567
| Feature | Description |
|---|---|
| Name | en_cv_info_extr |
| Version | 0.0.0 |
| spaCy | >=3.6.1,<3.7.0 |
| 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 (14 labels for 1 components)
| Component | Labels |
|---|---|
ner |
ADDRESS, CERTIFICATION, EDUCATION, EMAIL, EXPERIENCE, FNAME, HOBBY, HSKILL, LANGUAGE, LNAME, PHONE, PROFILE, PROJECT, SSKILL |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
81.98 |
ENTS_P |
83.33 |
ENTS_R |
80.68 |
TRANSFORMER_LOSS |
1473.09 |
NER_LOSS |
287784.88 |