metadata
tags:
- spacy
- token-classification
language:
- fr
model-index:
- name: fr_present_tense_value
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.7757731959
- name: NER Recall
type: recall
value: 0.7969991174
- name: NER F Score
type: f_score
value: 0.7862429256
| Feature | Description |
|---|---|
| Name | fr_present_tense_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 |
PRESENT_ENNONCIATION, PRESENT_GENERIQUE, PRESENT_HISTORIQUE |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
78.62 |
ENTS_P |
77.58 |
ENTS_R |
79.70 |
TRANSFORMER_LOSS |
82001.90 |
NER_LOSS |
52384.87 |