metadata
tags:
- spacy
- token-classification
language:
- fr
model-index:
- name: fr_trf_ner_base_nrp
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9688149688
- name: NER Recall
type: recall
value: 0.9789915966
- name: NER F Score
type: f_score
value: 0.973876698
| Feature | Description |
|---|---|
| Name | fr_trf_ner_base_nrp |
| Version | 0.0.0 |
| spaCy | >=3.8.3,<3.9.0 |
| Default Pipeline | ner_transformer, ner |
| Components | ner_transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (3 labels for 1 components)
| Component | Labels |
|---|---|
ner |
LOC, ORG, PER |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
97.39 |
ENTS_P |
96.88 |
ENTS_R |
97.90 |
NER_TRANSFORMER_LOSS |
2373.89 |
NER_LOSS |
9945.98 |