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README.md |
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German Medical BERT
This is a fine-tuned model on Medical domain for German language and based on German BERT.
Overview
Language model: bert-base-german-cased
Language: German
Fine-tuning: Medical articles (diseases, symptoms, therapies, etc..)
Eval data: NTS-ICD-10 dataset (Classification)
Infrastructure: Gogle Colab
Details
- We fine-tuned using Pytorch with Huggingface library on Colab GPU.
- With standard parameter settings for fine-tuning as mentioned in original BERT's paper.
- Although had to train for upto 25 epochs for classification.
Performance (Micro precision, recall and f1 score for multilabel code classification)
Author
Manjil Shrestha: shresthamanjil21 [at] gmail.com
Get in touch: LinkedIn