metadata
tags:
- spacy
- token-classification
language:
- de
model-index:
- name: de_ner_d_dist
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.909263658
- name: NER Recall
type: recall
value: 0.8684210526
- name: NER F Score
type: f_score
value: 0.8883731724
| Feature | Description |
|---|---|
| Name | de_ner_d_dist |
| Version | 2.0.0 |
| spaCy | >=3.8.7,<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 (4 labels for 1 components)
| Component | Labels |
|---|---|
ner |
LOC, MISC, ORG, PER |
Accuracy
| Type | Score |
|---|---|
ENTS_P |
90.93 |
ENTS_R |
86.84 |
ENTS_F |
88.84 |