metadata
tags:
- spacy
- token-classification
language:
- en
license: cc-by-nc-sa-3.0
model-index:
- name: en_Coff_Ev1
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9673151751
- name: NER Recall
type: recall
value: 0.9872915012
- name: NER F Score
type: f_score
value: 0.9772012579
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 | 1.3.2 |
| 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 |