metadata
tags:
- spacy
- token-classification
language:
- he
model-index:
- name: he_subref_ner
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9611848825
- name: NER Recall
type: recall
value: 0.9651282051
- name: NER F Score
type: f_score
value: 0.9631525077
| Feature | Description |
|---|---|
| Name | he_subref_ner |
| Version | 1.0.0 |
| spaCy | >=3.4.1,<3.5.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 394654 keys, 394654 unique vectors (50 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (7 labels for 1 components)
| Component | Labels |
|---|---|
ner |
讚讛, 讻讜转专转, 诇讗-专爪讬祝, 诇拽诪谉-诇讛诇谉, 诪住驻专, 住讬诪谉-讟讜讜讞, 砖诐 |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
96.32 |
ENTS_P |
96.12 |
ENTS_R |
96.51 |
TOK2VEC_LOSS |
11226.82 |
NER_LOSS |
2452.62 |