metadata
tags:
- spacy
- token-classification
language:
- de
model-index:
- name: de_ner_d_lg
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.7528438469
- name: NER Recall
type: recall
value: 0.6606170599
- name: NER F Score
type: f_score
value: 0.7037216046
| Feature | Description |
|---|---|
| Name | de_ner_d_lg |
| Version | 2.0.0 |
| spaCy | >=3.8.7,<3.9.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 500000 keys, 500000 unique vectors (300 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 |
75.28 |
ENTS_R |
66.06 |
ENTS_F |
70.37 |