metadata
tags:
- spacy
- token-classification
- text-classification
language:
- en
model-index:
- name: en_tenarchexp3
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.95
- name: NER Recall
type: recall
value: 0.8507462687
- name: NER F Score
type: f_score
value: 0.8976377953
| Feature | Description |
|---|---|
| Name | en_tenarchexp3 |
| Version | 0.0.0 |
| spaCy | >=3.2.4,<3.3.0 |
| Default Pipeline | tok2vec, ner, textcat_multilabel |
| Components | tok2vec, ner, textcat_multilabel |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (7 labels for 2 components)
| Component | Labels |
|---|---|
ner |
Seniority, TechSkill |
textcat_multilabel |
SoftwareEngineer, SiteReliabitliyEngineer, ProductManager, DataScientist, Designer |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
89.76 |
ENTS_P |
95.00 |
ENTS_R |
85.07 |
CATS_SCORE |
71.89 |
CATS_MICRO_P |
47.92 |
CATS_MICRO_R |
86.79 |
CATS_MICRO_F |
61.74 |
CATS_MACRO_P |
39.21 |
CATS_MACRO_R |
55.42 |
CATS_MACRO_F |
44.90 |
CATS_MACRO_AUC |
71.89 |
CATS_MACRO_AUC_PER_TYPE |
0.00 |
TOK2VEC_LOSS |
31131.44 |
NER_LOSS |
5486.16 |
TEXTCAT_MULTILABEL_LOSS |
5.73 |