---
tags:
- spacy
- token-classification
language:
- tl
model-index:
- name: tl_custom_calamancy
  results:
  - task:
      name: NER
      type: token-classification
    metrics:
    - name: NER Precision
      type: precision
      value: 0.961852861
    - name: NER Recall
      type: recall
      value: 0.9633528265
    - name: NER F Score
      type: f_score
      value: 0.9626022594
---
| Feature | Description |
| --- | --- |
| **Name** | `tl_custom_calamancy` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.8.14,<3.9.0` |
| **Default Pipeline** | `tok2vec`, `ner` |
| **Components** | `tok2vec`, `ner` |
| **Vectors** | 714435 keys, 714435 unique vectors (300 dimensions) |
| **Sources** | n/a |
| **License** | n/a |
| **Author** | [n/a]() |

### Label Scheme

<details>

<summary>View label scheme (4 labels for 1 components)</summary>

| Component | Labels |
| --- | --- |
| **`ner`** | `LOC`, `MISC`, `ORG`, `PER` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `ENTS_F` | 96.26 |
| `ENTS_P` | 96.19 |
| `ENTS_R` | 96.34 |
| `TOK2VEC_LOSS` | 0.00 |
| `NER_LOSS` | 23457.51 |