---
tags:
- spacy
- token-classification
- ner
language:
- it
model-index:
- name: it_ItLit800
  results:
  - task:
      name: NER
      type: token-classification
    metrics:
    - name: NER Precision
      type: precision
      value: 0.9747904918
    - name: NER Recall
      type: recall
      value: 0.9781820932
    - name: NER F Score
      type: f_score
      value: 0.9764833475
---
| Feature | Description |
| --- | --- |
| **Name** | `it_ItLit800` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.5.0,<3.6.0` |
| **Default Pipeline** | `tok2vec`, `ner` |
| **Components** | `tok2vec`, `ner` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | n/a |
| **License** | n/a |
| **Author** | [n/a]() |

### Label Scheme

<details>

<summary>View label scheme (27 labels for 1 components)</summary>

| Component | Labels |
| --- | --- |
| **`ner`** | `AGE`, `ANTRO`, `CHR`, `CULT`, `DATE`, `DATECEL`, `DATERNG`, `DIST`, `GEO`, `GPE`, `HON`, `KING`, `LOC`, `MATH`, `MISC`, `MON`, `NAME`, `NORP`, `ORG`, `PER`, `POI`, `QNT`, `QTM`, `REL`, `TIME`, `WRONG`, `XORG` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `ENTS_F` | 97.65 |
| `ENTS_P` | 97.48 |
| `ENTS_R` | 97.82 |
| `TOK2VEC_LOSS` | 215442.06 |
| `NER_LOSS` | 129597.07 |