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--- |
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tags: |
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- spacy |
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- token-classification |
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language: |
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- ru |
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model-index: |
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- name: ru_patents_ner |
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results: |
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- task: |
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name: NER |
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type: token-classification |
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metrics: |
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- name: NER Precision |
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type: precision |
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value: 0.5982281487 |
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- name: NER Recall |
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type: recall |
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value: 0.6152545557 |
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- name: NER F Score |
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type: f_score |
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value: 0.6066219032 |
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--- |
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| Feature | Description | |
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| --- | --- | |
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| **Name** | `ru_patents_ner` | |
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| **Version** | `1.0.1` | |
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| **spaCy** | `>=3.8.4,<3.9.0` | |
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| **Default Pipeline** | `transformer`, `ner` | |
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| **Components** | `transformer`, `ner` | |
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| **Vectors** | 500002 keys, 500002 unique vectors (300 dimensions) | |
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| **Sources** | n/a | |
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| **License** | n/a | |
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| **Author** | [n/a]() | |
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### Label Scheme |
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<details> |
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<summary>View label scheme (3 labels for 1 components)</summary> |
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| Component | Labels | |
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| --- | --- | |
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| **`ner`** | `ATTRIBUTE`, `COMPONENT`, `SYSTEM` | |
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</details> |
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### Accuracy |
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| Type | Score | |
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| --- | --- | |
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| `F1_MICRO` | 59.95 | |
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| `F1_MACRO` | 55.92 | |
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| `F1_WEIGHTED` | 59.51 | |
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| `F1_COMPONENT` | 66.29 | |
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| `F1_SYSTEM` | 66.62 | |
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| `F1_ATTRIBUTE` | 34.84 | |
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| `ENTS_P` | 60.95 | |
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| `ENTS_R` | 58.99 | |
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| `TRANSFORMER_LOSS` | 907006.78 | |
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| `NER_LOSS` | 1524129.39 | |
