| Feature | Description |
|---|---|
| Name | en_legal_ner_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.7.6,<3.8.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (14 labels for 1 components)
| Component | Labels |
|---|---|
ner |
CASE_NUMBER, COURT, DATE, GPE, JUDGE, LAWYER, ORG, OTHER_PERSON, PETITIONER, PRECEDENT, PROVISION, RESPONDENT, STATUTE, WITNESS |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
73.36 |
ENTS_P |
75.64 |
ENTS_R |
71.22 |
TOK2VEC_LOSS |
488439.50 |
NER_LOSS |
548698.80 |
- Downloads last month
- 9
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Evaluation results
- NER Precisionself-reported0.756
- NER Recallself-reported0.712
- NER F Scoreself-reported0.734