This is a custom named entity recognition model for clinical data. Inorder to see the real usage of the model,
please enter clinical text in the text field.
| 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 |
98.82 |
ENTS_R |
98.82 |
TOK2VEC_LOSS |
4597.80 |
NER_LOSS |
29304.32 |
