metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_Coff_Ev1
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9986052999
- name: NER Recall
type: recall
value: 0.9986052999
- name: NER F Score
type: f_score
value: 0.9986052999
| Feature | Description |
|---|---|
| Name | Coffee Language Processor |
| Version | 1.0.6 |
| 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 | n/a |
| Author | Chris Bruinsma, Iris Chi, Juan (Jack) Feliciano, Jeffry Li, Dustin Paden |
Label Scheme
View label scheme (13 labels for 1 components)
| Component | Labels |
|---|---|
ner |
Anti, drink, extra, milk, milk texture, pump quantity, roast, shot quality, shot quantity, size, syrup, temperature, toppings |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
99.86 |
ENTS_P |
99.86 |
ENTS_R |
99.86 |
TOK2VEC_LOSS |
16574.94 |
NER_LOSS |
17595.01 |