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---
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 | |