metadata
tags:
- spacy
- token-classification
language:
- es
model-index:
- name: es_colner_added_tw_nl
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8744939271
- name: NER Recall
type: recall
value: 0.864
- name: NER F Score
type: f_score
value: 0.8692152918
| Feature | Description |
|---|---|
| Name | es_COLNER_added_tw_NL |
| Version | 0.0.0 |
| spaCy | >=3.8.4,<3.9.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (1 labels for 1 components)
| Component | Labels |
|---|---|
ner |
LOC |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
86.92 |
ENTS_P |
87.45 |
ENTS_R |
86.40 |
TRANSFORMER_LOSS |
11147.80 |
NER_LOSS |
17874.86 |