NER4Archives pipeline optimized for GPU and specialized on French National Archives findings aids (XML-EAD). Components: transformer, ner. Based on camembert-base model.
Feature | Description |
---|---|
Name | fr_ner4archives_camembert_base |
Version | 0.0.0 |
spaCy | >=3.3.1,<3.4.0 |
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. 2.0) - 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 |
86.31 |
ENTS_P |
87.25 |
ENTS_R |
85.40 |
TRANSFORMER_LOSS |
159157.68 |
NER_LOSS |
27979.50 |
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Evaluation results
- NER Precisionself-reported0.872
- NER Recallself-reported0.854
- NER F Scoreself-reported0.863