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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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- de |
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widget: |
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- text: Mein Asthma behandle ich mit 10mg Salbutamol. |
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model-index: |
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- name: de_GPTNERMED_GermanMedBERT |
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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: 0.9186956522 |
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- name: NER Recall |
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type: recall |
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value: 0.8976210705 |
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- name: NER F Score |
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type: f_score |
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value: 0.908036098 |
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--- |
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GermanMedBERT-based model of the GPTNERMED German NER model for medical entities. |
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See our published paper at: [https://doi.org/10.1016/j.jbi.2023.104478](https://doi.org/10.1016/j.jbi.2023.104478) \ |
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The preprint paper is available at: [https://arxiv.org/abs/2208.14493](https://arxiv.org/abs/2208.14493) |
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If you like our work, give us a star on our GitHub repository: [https://github.com/frankkramer-lab/GPTNERMED](https://github.com/frankkramer-lab/GPTNERMED) |
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| Feature | Description | |
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| --- | --- | |
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| **Name** | `de_GPTNERMED_GermanMedBERT` | |
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| **Version** | `1.0.0` | |
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| **spaCy** | `>=3.4.1,<3.5.0` | |
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| **Default Pipeline** | `transformer`, `ner` | |
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| **Components** | `transformer`, `ner` | |
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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** | [Johann Frei](https://github.com/frankkramer-lab/GPTNERMED) | |
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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`** | `Diagnose`, `Dosis`, `Medikation` | |
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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` | 90.80 | |
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| `ENTS_P` | 91.87 | |
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| `ENTS_R` | 89.76 | |
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| `TRANSFORMER_LOSS` | 6444.19 | |
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| `NER_LOSS` | 23776.37 | |
