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---
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: 0.1417384495
- name: NER Recall
type: recall
value: 0.2524407252
- name: NER F Score
type: f_score
value: 0.1815446339
---
| Feature | Description |
| --- | --- |
| **Name** | `en_Coff_Ev1` |
| **Version** | `1.0.4` |
| **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
<details>
<summary>View label scheme (13 labels for 1 components)</summary>
| Component | Labels |
| --- | --- |
| **`ner`** | `Anti`, `drink`, `extra`, `milk`, `milk texture`, `pump quantity`, `roast`, `shot quality`, `shot quantity`, `size`, `syrup`, `temperature`, `toppings` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `ENTS_F` | 18.15 |
| `ENTS_P` | 14.17 |
| `ENTS_R` | 25.24 |
| `TOK2VEC_LOSS` | 0.00 |
| `NER_LOSS` | 6937.04 | |