metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_pipeline
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9887751161
- name: NER Recall
type: recall
value: 0.9952089692
- name: NER F Score
type: f_score
value: 0.9919816105
license: gpl-3.0
| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.7.6,<3.8.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 684830 keys, 684830 unique vectors (300 dimensions) |
| Sources | n/a |
| License | gpl-3.0 |
| Author | n/a |
Label Scheme
View label scheme (2 labels for 1 components)
| Component | Labels |
|---|---|
ner |
HONORARIUM, JUDGE |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
99.20 |
ENTS_P |
98.88 |
ENTS_R |
99.52 |
TOK2VEC_LOSS |
69445.26 |
NER_LOSS |
18046.49 |