metadata
tags:
- spacy
- token-classification
language:
- de
model-index:
- name: de_pipeline
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.5620338983
- name: NER Recall
type: recall
value: 0.628030303
- name: NER F Score
type: f_score
value: 0.5932021467
| Feature | Description |
|---|---|
| Name | de_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.5.0,<3.6.0 |
| 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 (2 labels for 1 components)
| Component | Labels |
|---|---|
ner |
HARD, SOFT |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
59.32 |
ENTS_P |
56.20 |
ENTS_R |
62.80 |
TOK2VEC_LOSS |
6832.54 |
NER_LOSS |
433121.20 |