metadata
tags:
- spacy
- token-classification
language:
- fr
license: cc-by-nc-2.0
model-index:
- name: fr_arches_ner_trf
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8033279872
- name: NER Recall
type: recall
value: 0.8439342881
- name: NER F Score
type: f_score
value: 0.8231306491
French model trained to recognize named entities from archaeological reports.
| Feature | Description |
|---|---|
| Name | fr_arches_ner_trf |
| Version | 0.0.0 |
| spaCy | >=3.6.1,<3.7.0 |
| Default Pipeline | transformer, ner, entity_punctuation_removal |
| Components | transformer, ner, entity_punctuation_removal |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | cc-by-nc 2.0 |
| 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 |
82.31 |
ENTS_P |
80.33 |
ENTS_R |
84.39 |
TRANSFORMER_LOSS |
218923.98 |
NER_LOSS |
51779.36 |