metadata
tags:
- spacy
- token-classification
language:
- es
license: mit
model-index:
- name: es_neg_uncert_ehr_ner
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8964797136
- name: NER Recall
type: recall
value: 0.8997005988
- name: NER F Score
type: f_score
value: 0.8980872684
| Feature | Description |
|---|---|
| Name | es_neg_uncert_ehr_ner |
| Version | 0.0.0 |
| spaCy | >=3.7.2,<3.8.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | mit |
| Author | Álvaro García Barragán |
Label Scheme
View label scheme (4 labels for 1 components)
| Component | Labels |
|---|---|
ner |
NEG, NSCO, UNC, USCO |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
89.81 |
ENTS_P |
89.65 |
ENTS_R |
89.97 |
TRANSFORMER_LOSS |
34598.52 |
NER_LOSS |
35036.89 |