metadata
tags:
- spacy
- token-classification
language:
- de
license: https://creativecommons.org/licenses/by-nc/4.0/
model-index:
- name: de_RTA_NER
results:
- tasks:
name: NER
type: token-classification
metrics:
- name: Precision
type: precision
value: 0.8630136986
- name: Recall
type: recall
value: 0.8743253662
- name: F Score
type: f_score
value: 0.8686327078
Regensburger Reichstag von 1576
| Feature | Description |
|---|---|
| Name | de_RTA_NER |
| Version | 0.0.0 |
| spaCy | >=3.1.0,<3.2.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | https://creativecommons.org/licenses/by-nc/4.0/ |
| Author | n/a |
Label Scheme
View label scheme (4 labels for 1 components)
| Component | Labels |
|---|---|
ner |
DATE, LOC, PER, TIME |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
86.86 |
ENTS_P |
86.30 |
ENTS_R |
87.43 |
TOK2VEC_LOSS |
43588.74 |
NER_LOSS |
95573.96 |