metadata
tags:
- spacy
- token-classification
language:
- de
model-index:
- name: de_APIS_OEBL_NER_lg
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.7671428571
- name: NER Recall
type: recall
value: 0.7902869757
- name: NER F Score
type: f_score
value: 0.7785429503
license: mit
datasets:
- SteffRhes/APIS_OEBL__Named_Entity_Recognition
library_name: spacy
pipeline_tag: token-classification
| Feature | Description |
|---|---|
| Name | de_APIS_OEBL_NER_lg |
| Version | 1.0 |
| spaCy | >=3.6.0,<3.7.0 |
| 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 (3 labels for 1 components)
| Component | Labels |
|---|---|
ner |
LOC, ORG, PER |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
77.85 |
ENTS_P |
76.71 |
ENTS_R |
79.03 |
TOK2VEC_LOSS |
13266.36 |
NER_LOSS |
378634.81 |
Sources
Trained on data originating from the APIS project and the Austrian Biographical Lexicon (ÖBL).
Reproducible training context (model m2): https://github.com/acdh-oeaw/veld_chain_7_train/
Dataset available here: https://huggingface.co/datasets/SteffRhes/APIS_OEBL__Named_Entity_Recognition