---
tags:
- spacy
- token-classification
language:
- ru
model-index:
- name: ru_patents_ner
  results:
  - task:
      name: NER
      type: token-classification
    metrics:
    - name: NER Precision
      type: precision
      value: 0.6187035922
    - name: NER Recall
      type: recall
      value: 0.6062930187
    - name: NER F Score
      type: f_score
      value: 0.612435439
---
| Feature | Description |
| --- | --- |
| **Name** | `ru_patents_ner` |
| **Version** | `1.0.0` |
| **spaCy** | `>=3.8.5,<3.9.0` |
| **Default Pipeline** | `transformer`, `ner` |
| **Components** | `transformer`, `ner` |
| **Vectors** | 500002 keys, 500002 unique vectors (300 dimensions) |
| **Sources** | n/a |
| **License** | n/a |
| **Author** | [n/a]() |

### Label Scheme

<details>

<summary>View label scheme (3 labels for 1 components)</summary>

| Component | Labels |
| --- | --- |
| **`ner`** | `ATTRIBUTE`, `COMPONENT`, `SYSTEM` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `F1_MICRO` | 61.24 |
| `F1_MACRO` | 54.82 |
| `F1_WEIGHTED` | 60.09 |
| `F1_COMPONENT` | 67.20 |
| `F1_SYSTEM` | 64.79 |
| `F1_ATTRIBUTE` | 32.48 |
| `ENTS_P` | 61.87 |
| `ENTS_R` | 60.63 |
| `ENTS_F` | 61.24 |
| `TRANSFORMER_LOSS` | 144452.32 |
| `NER_LOSS` | 222665.13 |