Feature | Description |
---|---|
Name | en_medextract_md |
Version | 0.0.0 |
spaCy | >=3.7.2,<3.8.0 |
Default Pipeline | tok2vec , ner |
Components | tok2vec , ner |
Vectors | 514157 keys, 20000 unique vectors (300 dimensions) |
Sources | n/a |
License | n/a |
Author | n/a |
Label Scheme
View label scheme (9 labels for 1 components)
Component | Labels |
---|---|
ner |
ADE , Dosage , Drug , Duration , Form , Frequency , Reason , Route , Strength |
Accuracy
Type | Score |
---|---|
ENTS_F |
85.17 |
ENTS_P |
87.00 |
ENTS_R |
83.43 |
TOK2VEC_LOSS |
16984196.13 |
NER_LOSS |
2004372.73 |
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Evaluation results
- NER Precisionself-reported0.870
- NER Recallself-reported0.834
- NER F Scoreself-reported0.852