metadata
tags:
- spacy
- token-classification
language:
- fr
model-index:
- name: fr_ner4archives_v3_with_vectors
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8829593693
- name: NER Recall
type: recall
value: 0.8489795918
- name: NER F Score
type: f_score
value: 0.8656361474
| Feature | Description |
|---|---|
| Name | fr_ner4archives_v3_with_vectors |
| Version | 0.0.0 |
| spaCy | >=3.4.1,<3.5.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 500000 keys, 500000 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (5 labels for 1 components)
| Component | Labels |
|---|---|
ner |
EVENT, LOCATION, ORGANISATION, PERSON, TITLE |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
86.56 |
ENTS_P |
88.30 |
ENTS_R |
84.90 |
TOK2VEC_LOSS |
13527.63 |
NER_LOSS |
58805.82 |