metadata
tags:
- spacy
- token-classification
language:
- da
model-index:
- name: da_multi_dupli_onto_xlm_roberta_large
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.7785234899
- name: NER Recall
type: recall
value: 0.8226950355
- name: NER F Score
type: f_score
value: 0.8
Feature | Description |
---|---|
Name | da_multi_dupli_onto_xlm_roberta_large |
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 (16 labels for 1 components)
Component | Labels |
---|---|
ner |
CARDINAL , DATE , EVENT , FACILITY , GPE , LAW , LOCATION , MONEY , NORP , ORDINAL , ORGANIZATION , PERSON , PRODUCT , QUANTITY , TIME , WORK OF ART |
Accuracy
Type | Score |
---|---|
ENTS_F |
80.00 |
ENTS_P |
77.85 |
ENTS_R |
82.27 |
TRANSFORMER_LOSS |
17711.38 |
NER_LOSS |
289765.47 |