--- tags: - spacy - token-classification language: - de widget: - text: Zur weiteren Bekämpfung der Symptomatik wird die Einnahme von täglich 100mg Cortison als Tablette empfohlen. model-index: - name: de_GERNERMEDpp_GermanBERT results: - task: name: NER type: token-classification metrics: - name: NER Precision type: precision value: 0.9088501091 - name: NER Recall type: recall value: 0.9085669782 - name: NER F Score type: f_score value: 0.9087085216 pipeline_tag: token-classification pretty_name: GERNERMED++ (GermanBERT-based) --- GottBERT-based model of the GERNERMED++ German NER model for medical entities. | Feature | Description | | --- | --- | | **Name** | `de_GERNERMEDpp_GermanBERT` | | **Version** | `1.0.0` | | **spaCy** | `>=3.2.3,<3.3.0` | | **Default Pipeline** | `transformer`, `ner` | | **Components** | `transformer`, `ner` | | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) | | **Sources** | n/a | | **License** | n/a | | **Author** | [Johann Frei](https://github.com/frankkramer-lab/GERNERMED-pp) | ### Label Scheme
View label scheme (6 labels for 1 components) | Component | Labels | | --- | --- | | **`ner`** | `Dosage`, `Drug`, `Duration`, `Form`, `Frequency`, `Strength` |
### Accuracy | Type | Score | | --- | --- | | `ENTS_F` | 90.87 | | `ENTS_P` | 90.89 | | `ENTS_R` | 90.86 | | `TRANSFORMER_LOSS` | 193600.80 | | `NER_LOSS` | 255416.71 |