metadata
tags:
- spacy
- token-classification
language:
- multilingual
license: cc-by-nc-sa-4.0
model-index:
- name: xx_eb_ner
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9960448644
- name: NER Recall
type: recall
value: 0.9947236004
- name: NER F Score
type: f_score
value: 0.995383794
| Feature | Description |
|---|---|
| Name | xx_eb_ner |
| Version | 0.4.0 |
| spaCy | >=3.8.2,<3.9.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | cc-by-nc-sa-4.0 |
| Author | philipp-zettl |
Label Scheme
View label scheme (5 labels for 1 components)
| Component | Labels |
|---|---|
ner |
BRAND, COURSE_NAME, FASHION, JOB_TITLE, LOCATION |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
99.54 |
ENTS_P |
99.60 |
ENTS_R |
99.47 |
TOK2VEC_LOSS |
16859.59 |
NER_LOSS |
20810.51 |