metadata
tags:
- spacy
- token-classification
language:
- fr
model-index:
- name: fr_on_value
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8539823009
- name: NER Recall
type: recall
value: 0.9234449761
- name: NER F Score
type: f_score
value: 0.8873563218
| Feature | Description |
|---|---|
| Name | fr_on_value |
| Version | 0.0.1 |
| spaCy | >=3.4.4,<3.5.0 |
| 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 (3 labels for 1 components)
| Component | Labels |
|---|---|
ner |
ON_GENERIQUE, ON_NOUS, ON_QUELQU_UN |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
88.74 |
ENTS_P |
85.40 |
ENTS_R |
92.34 |
TRANSFORMER_LOSS |
41130.92 |
NER_LOSS |
43689.79 |