French model trained to recognize named entities from archaeological reports.
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 | 21 archaeological reports from the Inrap. |
License | cc-by-nc 2.0 |
Author | Institut national de recherches archéologiques préventives |
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 |
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Evaluation results
- NER Precisionself-reported0.678
- NER Recallself-reported0.716
- NER F Scoreself-reported0.696