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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 |
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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: 0.9987402508 |
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- name: NER Recall |
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type: recall |
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value: 0.9991845056 |
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- name: NER F Score |
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type: f_score |
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value: 0.9989623288 |
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--- |
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| Feature | Description | |
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| --- | --- | |
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| **Name** | `en_med12_trf` | |
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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** | Apache License, Version 2.0 | |
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| **Author** | Karl Renius | |
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### Label Scheme |
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<details> |
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<summary>View label scheme (15 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`** | `MEDICATION`, `OTHER`, `DEVICE` | |
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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` | 99.90 | |
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| `ENTS_P` | 99.87 | |
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| `ENTS_R` | 99.92 | |
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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` | 19686.79 | |
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| `NER_LOSS` | 513489.20 | |
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| `TEXTCAT_LOSS` | 2.08 | |
