--- tags: - spacy - token-classification language: - ru model-index: - name: ru_patents_ner_tiny results: - task: name: NER type: token-classification metrics: - name: NER Precision type: precision value: 0.574707932 - name: NER Recall type: recall value: 0.551425762 - name: NER F Score type: f_score value: 0.5628261742 --- | Feature | Description | | --- | --- | | **Name** | `ru_patents_ner_tiny` | | **Version** | `1.0.0` | | **spaCy** | `>=3.8.5,<3.9.0` | | **Default Pipeline** | `transformer`, `ner` | | **Components** | `transformer`, `ner` | | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) | | **Sources** | n/a | | **License** | n/a | | **Author** | [n/a]() | ### Label Scheme
View label scheme (3 labels for 1 components) | Component | Labels | | --- | --- | | **`ner`** | `ATTRIBUTE`, `COMPONENT`, `SYSTEM` |
### Accuracy | Type | Score | | --- | --- | | `F1_MICRO` | 56.28 | | `F1_MACRO` | 47.31 | | `F1_WEIGHTED` | 54.85 | | `F1_COMPONENT` | 62.57 | | `F1_SYSTEM` | 51.35 | | `F1_ATTRIBUTE` | 28.00 | | `ENTS_P` | 57.47 | | `ENTS_R` | 55.14 | | `ENTS_F` | 56.28 | | `TRANSFORMER_LOSS` | 327438.36 | | `NER_LOSS` | 528888.28 |