metadata
tags:
- spacy
- token-classification
language:
- nl
model-index:
- name: nl_middle_dutch_spacy
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9371146732
- name: NER Recall
type: recall
value: 0.9268292683
- name: NER F Score
type: f_score
value: 0.9319435929
Feature | Description |
---|---|
Name | nl_middle_dutch_spacy |
Version | 0.0.0 |
spaCy | >=3.4.4,<3.5.0 |
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 (8 labels for 1 components)
Component | Labels |
---|---|
ner |
B-DATE , B-LOC , B-MONEY , B-PERS , I-DATE , I-LOC , I-MONEY , I-PERS |
Accuracy
Type | Score |
---|---|
ENTS_F |
93.19 |
ENTS_P |
93.71 |
ENTS_R |
92.68 |
TRANSFORMER_LOSS |
10410.86 |
NER_LOSS |
27922.80 |