metadata
tags:
- spacy
- token-classification
language:
- da
model-index:
- name: da_multi_dupli_rater_1_onto
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.7817258883
- name: NER Recall
type: recall
value: 0.7877237852
- name: NER F Score
type: f_score
value: 0.7847133758
| Feature | Description |
|---|---|
| Name | da_multi_dupli_rater_1_onto |
| Version | 0.0.0 |
| spaCy | >=3.5.0,<3.6.0 |
| 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 (18 labels for 1 components)
| Component | Labels |
|---|---|
ner |
CARDINAL, DATE, EVENT, FACILITY, GPE, LANGUAGE, LAW, LOCATION, MONEY, NORP, ORDINAL, ORGANIZATION, PERCENT, PERSON, PRODUCT, QUANTITY, TIME, WORK OF ART |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
78.47 |
ENTS_P |
78.17 |
ENTS_R |
78.77 |
TRANSFORMER_LOSS |
123029.54 |
NER_LOSS |
428871.36 |