| Feature | Description |
|---|---|
| Name | fr_ner4archives_V3_camembert_base |
| Version | 0.0.0 |
| spaCy | >=3.4.1,<3.5.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | French corpus for the NER task composed of finding aids in XML-EAD from the National Archives of France (v. 3.0) - Check corpus version on GitHub |
| License | CC-BY-4.0 license |
| Author | Archives nationales / Inria-Almanach |
Label Scheme
View label scheme (5 labels for 1 components)
| Component | Labels |
|---|---|
ner |
EVENT, LOCATION, ORGANISATION, PERSON, TITLE |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
91.95 |
ENTS_P |
91.61 |
ENTS_R |
92.30 |
TRANSFORMER_LOSS |
395487.28 |
NER_LOSS |
11238.70 |
- Downloads last month
- 1
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Space using ner4archives/fr_ner4archives_V3_camembert_base 1
Evaluation results
- NER Precisionself-reported0.916
- NER Recallself-reported0.923
- NER F Scoreself-reported0.920