| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.5.2,<3.6.0 |
| 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 (12 labels for 1 components)
| Component | Labels |
|---|---|
ner |
CITY, COMPANY, DEGREE, DESIGNATION, DOB, EMAIL, EXPERIENCE, INSTITUTE, LINKEDIN, MOBILE NUMBER, NAME, SKILLS |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
95.00 |
ENTS_P |
95.16 |
ENTS_R |
94.83 |
TRANSFORMER_LOSS |
448284.92 |
NER_LOSS |
122909.16 |
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Evaluation results
- NER Precisionself-reported0.952
- NER Recallself-reported0.948
- NER F Scoreself-reported0.950