metadata
tags:
- spacy
- token-classification
language:
- fr
model-index:
- name: fr_camembert_ritter
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8580508475
- name: NER Recall
type: recall
value: 0.801980198
- name: NER F Score
type: f_score
value: 0.8290685773
| Feature | Description |
|---|---|
| Name | fr_camembert_ritter |
| Version | 0.0.0 |
| spaCy | >=3.7.4,<3.8.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (6 labels for 1 components)
| Component | Labels |
|---|---|
ner |
B-DATE, B-LOC, B-PER, I-DATE, I-LOC, I-PER |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
82.91 |
ENTS_P |
85.81 |
ENTS_R |
80.20 |
TRANSFORMER_LOSS |
393366.65 |
NER_LOSS |
3010080.42 |