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---
tags:
- spacy
- token-classification
- text-classification
language:
- en
model-index:
- name: en_med12_trf
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9987402508
- name: NER Recall
type: recall
value: 0.9991845056
- name: NER F Score
type: f_score
value: 0.9989623288
---
| Feature | Description |
| --- | --- |
| **Name** | `en_med12_trf` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.4.1,<3.5.0` |
| **Default Pipeline** | `transformer`, `ner`, `textcat` |
| **Components** | `transformer`, `ner`, `textcat` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | n/a |
| **License** | Apache License, Version 2.0 |
| **Author** | Karl Renius |
### Label Scheme
<details>
<summary>View label scheme (15 labels for 2 components)</summary>
| Component | Labels |
| --- | --- |
| **`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` |
| **`textcat`** | `MEDICATION`, `OTHER`, `DEVICE` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `ENTS_F` | 99.90 |
| `ENTS_P` | 99.87 |
| `ENTS_R` | 99.92 |
| `CATS_SCORE` | 100.00 |
| `CATS_MICRO_P` | 100.00 |
| `CATS_MICRO_R` | 100.00 |
| `CATS_MICRO_F` | 100.00 |
| `CATS_MACRO_P` | 100.00 |
| `CATS_MACRO_R` | 100.00 |
| `CATS_MACRO_F` | 100.00 |
| `CATS_MACRO_AUC` | 100.00 |
| `CATS_MACRO_AUC_PER_TYPE` | 0.00 |
| `TRANSFORMER_LOSS` | 19686.79 |
| `NER_LOSS` | 513489.20 |
| `TEXTCAT_LOSS` | 2.08 | |