metadata
tags:
- spacy
- token-classification
language:
- fr
model-index:
- name: fr_arches_ner
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.6778376222
- name: NER Recall
type: recall
value: 0.7156697557
- name: NER F Score
type: f_score
value: 0.6962401393
| Feature | Description |
|---|---|
| Name | fr_arches_ner |
| Version | 0.0.0 |
| spaCy | >=3.6.1,<3.7.0 |
| Default Pipeline | tok2vec, ner, entity_punctuation_removal |
| Components | tok2vec, ner, entity_punctuation_removal |
| Vectors | 500000 keys, 500000 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (15 labels for 1 components)
| Component | Labels |
|---|---|
ner |
CHRONOLOGIE, DECOR, EDIFICE, ESPECE, GPE, ID, LIEUDIT_SITE, LOC, MATERIAU, MOBILIER, ORG, PERSONNE, PEUPLE_CULTURE, STRUCTURE, TECHNIQUE_STYLE |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
69.62 |
ENTS_P |
67.78 |
ENTS_R |
71.57 |
TOK2VEC_LOSS |
63436.09 |
NER_LOSS |
246059.83 |