metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_custom_medical_ner
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9838709677
- name: NER Recall
type: recall
value: 0.9918699187
- name: NER F Score
type: f_score
value: 0.987854251
| Feature | Description |
|---|---|
| Name | en_custom_medical_ner |
| Version | 0.0.0 |
| spaCy | >=3.7.3,<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 (3 labels for 1 components)
| Component | Labels |
|---|---|
ner |
MEDICALCONDITION, MEDICINE, PATHOGEN |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
98.79 |
ENTS_P |
98.39 |
ENTS_R |
99.19 |
TOK2VEC_LOSS |
17197.46 |
NER_LOSS |
24980.55 |