---
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_ner_prompting
  results:
  - task:
      name: NER
      type: token-classification
    metrics:
    - name: NER Precision
      type: precision
      value: 0.7636566332
    - name: NER Recall
      type: recall
      value: 0.6975560081
    - name: NER F Score
      type: f_score
      value: 0.7291112294
---
| Feature | Description |
| --- | --- |
| **Name** | `en_ner_prompting` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.4.3,<3.5.0` |
| **Default Pipeline** | `tok2vec`, `ner` |
| **Components** | `tok2vec`, `ner` |
| **Vectors** | 514157 keys, 514157 unique vectors (300 dimensions) |
| **Sources** | n/a |
| **License** | n/a |
| **Author** | [n/a]() |

### Label Scheme

<details>

<summary>View label scheme (18 labels for 1 components)</summary>

| Component | Labels |
| --- | --- |
| **`ner`** | `color`, `composition/scale`, `composition/view`, `context/emotion`, `context/era`, `context/weather`, `detail`, `influence/artist`, `influence/artwork`, `influence/genre`, `influence/repository`, `light`, `medium/illustration`, `medium/painting`, `medium/photography`, `medium/rendering`, `other`, `subject` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `ENTS_F` | 72.91 |
| `ENTS_P` | 76.37 |
| `ENTS_R` | 69.76 |
| `TOK2VEC_LOSS` | 25220.55 |
| `NER_LOSS` | 221026.23 |