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--- |
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tags: |
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- spacy |
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- token-classification |
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- text-classification |
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language: |
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- en |
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model-index: |
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- name: en_med12_trf_weakly_supervised |
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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: 0.9995091177 |
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- name: NER Recall |
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type: recall |
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value: 0.9983655976 |
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- name: NER F Score |
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type: f_score |
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value: 0.9989370304 |
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--- |
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| Feature | Description | |
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| --- | --- | |
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| **Name** | `en_med12_trf_weakly_supervised` | |
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| **Version** | `0.0.0` | |
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| **spaCy** | `>=3.4.1,<3.5.0` | |
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| **Default Pipeline** | `transformer`, `ner`, `textcat` | |
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| **Components** | `transformer`, `ner`, `textcat` | |
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| **Vectors** | 0 keys, 0 unique vectors (0 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 (14 labels for 2 components)</summary> |
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| Component | Labels | |
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| --- | --- | |
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| **`ner`** | `Denominator_Unit`, `Denominator_Value`, `Dose_Form`, `Medication_Name`, `NDC`, `Numerator_Unit`, `Numerator_Value`, `Product_Package_Type`, `Product_Package_Type_Value`, `Quantity_Factor_Unit`, `Quantity_Factor_Unit_Value`, `Quantity_Factor_Value` | |
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| **`textcat`** | `OTHER`, `MEDICATION` | |
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</details> |
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### Accuracy |
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| Type | Score | |
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| --- | --- | |
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| `ENTS_F` | 99.89 | |
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| `ENTS_P` | 99.95 | |
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| `ENTS_R` | 99.84 | |
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| `CATS_SCORE` | 100.00 | |
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| `CATS_MICRO_P` | 100.00 | |
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| `CATS_MICRO_R` | 100.00 | |
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| `CATS_MICRO_F` | 100.00 | |
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| `CATS_MACRO_P` | 100.00 | |
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| `CATS_MACRO_R` | 100.00 | |
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| `CATS_MACRO_F` | 100.00 | |
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| `CATS_MACRO_AUC` | 100.00 | |
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| `CATS_MACRO_AUC_PER_TYPE` | 0.00 | |
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| `TRANSFORMER_LOSS` | 18547.50 | |
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| `NER_LOSS` | 153097.22 | |
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| `TEXTCAT_LOSS` | 0.00 | |
