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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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model-index: |
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- name: de_GERNERMEDpp_Slim |
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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: 0.9020724569 |
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- name: NER Recall |
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type: recall |
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value: 0.8881619938 |
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- name: NER F Score |
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type: f_score |
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value: 0.8950631819 |
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--- |
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Slim model of the GERNERMED++ German NER model for medical entities. |
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| Feature | Description | |
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| --- | --- | |
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| **Name** | `de_GERNERMEDpp_Slim` | |
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| **Version** | `1.0.0` | |
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| **spaCy** | `>=3.2.3,<3.3.0` | |
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| **Default Pipeline** | `tok2vec`, `ner` | |
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| **Components** | `tok2vec`, `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/GERNERMED-pp) | |
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### Label Scheme |
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<details> |
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<summary>View label scheme (6 labels for 1 components)</summary> |
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| Component | Labels | |
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| --- | --- | |
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| **`ner`** | `Dosage`, `Drug`, `Duration`, `Form`, `Frequency`, `Strength` | |
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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` | 89.51 | |
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| `ENTS_P` | 90.21 | |
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| `ENTS_R` | 88.82 | |
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| `TOK2VEC_LOSS` | 129329.99 | |
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| `NER_LOSS` | 603008.42 | |
