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+---
+language: de
+---
+
+# 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)
+![performance](https://raw.githubusercontent.com/smanjil/finetune-lm/master/performance.png)
+
+## Author
+Manjil Shrestha: `shresthamanjil21 [at] gmail.com`
+
+Get in touch:
+[LinkedIn](https://www.linkedin.com/in/manjil-shrestha-038527b4/)