metadata
tags:
- spacy
- token-classification
language:
- de
model-index:
- name: de_fnhd_nerdh
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9629324547
- name: NER Recall
type: recall
value: 0.9504065041
- name: NER F Score
type: f_score
value: 0.9566284779
Deutsche NER-Pipeline für frühneuhochdeutsche Texte (2.Version)
| Feature | Description |
|---|---|
| Name | de_fnhd_nerdh |
| Version | 0.0.2 |
| spaCy | >=3.4.1,<3.5.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 500000 keys, 500000 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | ih |
Label Scheme
View label scheme (5 labels for 1 components)
| Component | Labels |
|---|---|
ner |
OBJEKT, ORGANISATION, ORT, PERSON, ZEIT |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
95.66 |
ENTS_P |
96.29 |
ENTS_R |
95.04 |
TOK2VEC_LOSS |
25311.59 |
NER_LOSS |
15478.32 |