Feature | Description |
---|---|
Name | fr_ner4archives_v3_default |
Version | 0.0.0 |
spaCy | >=3.4.1,<3.5.0 |
Default Pipeline | tok2vec , ner |
Components | tok2vec , 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 |
83.29 |
ENTS_P |
83.91 |
ENTS_R |
82.68 |
TOK2VEC_LOSS |
68553.28 |
NER_LOSS |
18164.88 |
- Downloads last month
- 13
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Evaluation results
- NER Precisionself-reported0.839
- NER Recallself-reported0.827
- NER F Scoreself-reported0.833