Your Coffee Ordered at the Speed of Sound
For citations please use the included refs.bib
this project was a collaboration between five students with a common goal of simplifying the ordering process.
You are permitted to use this software for any projects, however this is not permitted for use in any commerical instances under our cc-by-nc-sa-3.0
license without explicit permissions from the author(s).
Feature | Description |
---|---|
Name | en_Coff_Ev1 |
Version | 1.4.0 |
spaCy | >=3.4.3,<3.5.0 |
Default Pipeline | tok2vec , ner |
Components | tok2vec , ner |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | n/a |
License | cc-by-nc-sa-3.0 |
Author | C.Bruinsma,I.Chi,J.Feliciano,J.Li,D.Paden |
THIS SOFTWARE IS PROVIDED AS IS BY ITS AUTHORS UNDER NO WARRANTY OF ITS FUNCTION.
Label Scheme
View label scheme (20 labels for 1 components)
Component | Labels |
---|---|
ner |
Anti , Blended , Brew Style , Coffee Varietal , add-on , drink , extra , hot breakfast , milk , milk texture , pastry , pump quantity , roast , shot quality , shot quantity , size , syrup , temperature , toppings , upside-down |
Accuracy
Type | Score |
---|---|
ENTS_F |
97.72 |
ENTS_P |
96.73 |
ENTS_R |
98.73 |
TOK2VEC_LOSS |
54858.85 |
NER_LOSS |
427986.33 |
- Downloads last month
- 83
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Evaluation results
- NER Precisionself-reported0.967
- NER Recallself-reported0.987
- NER F Scoreself-reported0.977