metadata
tags:
- spacy
- token-classification
language:
- vi
model-index:
- name: vi_ner_task
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9045226131
- name: NER Recall
type: recall
value: 0.8955223881
- name: NER F Score
type: f_score
value: 0.9
| Feature | Description |
|---|---|
| Name | vi_ner_task |
| Version | 1.0.1 |
| spaCy | >=3.7.5,<3.8.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | Chánh Hỷ |
Label Scheme
View label scheme (4 labels for 1 components)
| Component | Labels |
|---|---|
ner |
DATE, PERSON, TASK, TIME |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
90.00 |
ENTS_P |
90.45 |
ENTS_R |
89.55 |
TOK2VEC_LOSS |
121354.85 |
NER_LOSS |
16964.64 |