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 |