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metadata
tags:
  - spacy
  - token-classification
language:
  - de
widget:
  - text: Mein Asthma behandle ich mit 10mg Salbutamol.
model-index:
  - name: de_GPTNERMED_GottBERT
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0.9173764906
          - name: NER Recall
            type: recall
            value: 0.9150382328
          - name: NER F Score
            type: f_score
            value: 0.9162058698

GottBERT-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
The preprint paper is available at: 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

Feature Description
Name de_GPTNERMED_GottBERT
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

Label Scheme

View label scheme (3 labels for 1 components)
Component Labels
ner Diagnose, Dosis, Medikation

Accuracy

Type Score
ENTS_F 91.62
ENTS_P 91.74
ENTS_R 91.50
TRANSFORMER_LOSS 31366.36
NER_LOSS 50306.02