metadata
tags:
- spacy
- token-classification
language:
- fr
model-index:
- name: fr_scenAIrio_sequence_classification
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.944
- name: NER Recall
type: recall
value: 0.9672131148
- name: NER F Score
type: f_score
value: 0.955465587
| Feature | Description |
|---|---|
| Name | fr_scenAIrio_sequence_classification |
| Version | 0.1.0 |
| spaCy | >=3.7.4,<3.8.0 |
| Default Pipeline | ner |
| Components | ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | Martin VANAUD |
Label Scheme
View label scheme (4 labels for 1 components)
| Component | Labels |
|---|---|
ner |
LOCATION_DESCRIPTION, LOCATION_INDICATOR, SEQUENCE_NUMBER, TIME_OF_DAY |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
95.55 |
ENTS_P |
94.40 |
ENTS_R |
96.72 |
NER_LOSS |
196200.00 |