Feature | Description |
---|---|
Name | en_pipeline |
Version | 0.0.0 |
spaCy | >=3.5.0,<3.6.0 |
Default Pipeline | tok2vec , ner |
Components | tok2vec , ner |
Vectors | 514157 keys, 514157 unique vectors (300 dimensions) |
Sources | n/a |
License | n/a |
Author | n/a |
Label Scheme
View label scheme (3 labels for 1 components)
Component | Labels |
---|---|
ner |
MEDICALCONDITION , MEDICINE , PATHOGEN |
Accuracy
Type | Score |
---|---|
ENTS_F |
98.82 |
ENTS_P |
98.44 |
ENTS_R |
99.21 |
TOK2VEC_LOSS |
13808.35 |
NER_LOSS |
28810.64 |
- Downloads last month
- 2
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Evaluation results
- NER Precisionself-reported0.984
- NER Recallself-reported0.992
- NER F Scoreself-reported0.988