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 |