metadata
tags:
- spacy
- token-classification
language:
- multilingual
model-index:
- name: xx_eb_ner
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9965862512
- name: NER Recall
type: recall
value: 0.9942060121
- name: NER F Score
type: f_score
value: 0.9953947087
| Feature | Description |
|---|---|
| Name | xx_eb_ner |
| Version | 0.0.0 |
| spaCy | >=3.6.1,<3.7.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (3 labels for 1 components)
| Component | Labels |
|---|---|
ner |
COURSE_NAME, JOB_TITLE, LOCATION |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
99.54 |
ENTS_P |
99.66 |
ENTS_R |
99.42 |
TOK2VEC_LOSS |
89887.61 |
NER_LOSS |
13141.18 |