metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: Coffee Language Processor
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 1
- name: NER Recall
type: recall
value: 1
- name: NER F Score
type: f_score
value: 1
| Feature | Description |
|---|---|
| Name | Coffee Language Processor |
| Version | 1.0.3 |
| 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 | Christopher Bruinsma , Iris Chi , Juan(Jack) Feliciano , Jeffrey 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 |
100.00 |
ENTS_P |
100.00 |
ENTS_R |
100.00 |
TOK2VEC_LOSS |
116652.36 |
NER_LOSS |
32106.04 |