Custom NER model for detecting ANIMAL entities in Swiss parliamentary texts
| Feature | Description |
|---|---|
| Name | fr_parlimal_animal_ner |
| Version | 0.1.0 |
| spaCy | >=3.8.7,<3.9.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 500000 keys, 500000 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | Mario Angst |
Label Scheme
View label scheme (1 labels for 1 components)
| Component | Labels |
|---|---|
ner |
ANIMAL |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
90.20 |
ENTS_P |
92.00 |
ENTS_R |
88.46 |
TOK2VEC_LOSS |
1812.64 |
NER_LOSS |
1741.34 |
- Downloads last month
- 4
Evaluation results
- NER Precisionself-reported0.920
- NER Recallself-reported0.885
- NER F Scoreself-reported0.902