Feature | Description |
---|---|
Name | en_pipeline |
Version | 0.0.0 |
spaCy | >=3.2.3,<3.3.0 |
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 (2 labels for 1 components)
Component | Labels |
---|---|
ner |
Score , Team |
Accuracy
Type | Score |
---|---|
ENTS_F |
96.89 |
ENTS_P |
96.42 |
ENTS_R |
97.36 |
TRANSFORMER_LOSS |
4064.10 |
NER_LOSS |
4512.84 |
- Downloads last month
- 4
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Evaluation results
- NER Precisionself-reported0.964
- NER Recallself-reported0.974
- NER F Scoreself-reported0.969