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smanjil/German-MedBERT

This paper presents a fine-tuned German Medical BERT model for the medical domain, achieving improved performance on the NTS-ICD-10 text classification task. The model was trained using PyTorch and Hugging Face library on Colab GPU, with standard parameter settings and up to 25 epochs for classification. Evaluation results show significant improvement in micro precision, recall, and F1 score compared to the base German BERT model.

This paper presents a fine-tuned German Medical BERT model for the medical domain, achieving improved performance on the NTS-ICD-10 text classification task. The model was trained using PyTorch and Hugging Face library on Colab GPU, with standard parameter settings and up to 25 epochs for classification. Evaluation results show significant improvement in micro precision, recall, and F1 score compared to the base German BERT model.

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2023-03-03T02:54:10+00:00