| | --- |
| | tags: |
| | - spacy |
| | - token-classification |
| | language: |
| | - de |
| | widget: |
| | - text: Mein Asthma behandle ich mit 10mg Salbutamol. |
| | model-index: |
| | - name: de_GPTNERMED_gbert |
| | results: |
| | - task: |
| | name: NER |
| | type: token-classification |
| | metrics: |
| | - name: NER Precision |
| | type: precision |
| | value: 0.9022055764 |
| | - name: NER Recall |
| | type: recall |
| | value: 0.9209855565 |
| | - name: NER F Score |
| | type: f_score |
| | value: 0.9114988438 |
| | --- |
| | Gbert-based model of the GPTNERMED German NER model for medical entities. |
| |
|
| | See our published paper at: [https://doi.org/10.1016/j.jbi.2023.104478](https://doi.org/10.1016/j.jbi.2023.104478) \ |
| | The preprint paper is available at: [https://arxiv.org/abs/2208.14493](https://arxiv.org/abs/2208.14493) |
| |
|
| | 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) |
| |
|
| | | Feature | Description | |
| | | --- | --- | |
| | | **Name** | `de_GPTNERMED_gbert` | |
| | | **Version** | `1.0.0` | |
| | | **spaCy** | `>=3.4.1,<3.5.0` | |
| | | **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/GPTNERMED) | |
| |
|
| | ### Label Scheme |
| |
|
| | <details> |
| |
|
| | <summary>View label scheme (3 labels for 1 components)</summary> |
| |
|
| | | Component | Labels | |
| | | --- | --- | |
| | | **`ner`** | `Diagnose`, `Dosis`, `Medikation` | |
| |
|
| | </details> |
| |
|
| | ### Accuracy |
| |
|
| | | Type | Score | |
| | | --- | --- | |
| | | `ENTS_F` | 91.15 | |
| | | `ENTS_P` | 90.22 | |
| | | `ENTS_R` | 92.10 | |
| | | `TRANSFORMER_LOSS` | 32882.59 | |
| | | `NER_LOSS` | 56921.35 | |
