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: 0.9573497322
- name: NER Recall
type: recall
value: 0.9567803331
- name: NER F Score
type: f_score
value: 0.9570649479
| Feature | Description |
|---|---|
| Name | de_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.5.3,<3.6.0 |
| 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 (19 labels for 1 components)
| Component | Labels |
|---|---|
ner |
AN, EUN, GRT, GS, INN, LD, LDS, LIT, MRK, ORG, PER, RR, RS, ST, STR, UN, VO, VS, VT |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
95.71 |
ENTS_P |
95.73 |
ENTS_R |
95.68 |
TRANSFORMER_LOSS |
11836.63 |
NER_LOSS |
8009.96 |