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german medbert model details #8266
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language: de | ||
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# German Medical BERT | ||
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This is a fine-tuned model on Medical domain for German language and based on German BERT. | ||
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## Overview | ||
**Language model:** bert-base-german-cased | ||
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**Language:** German | ||
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**Fine-tuning:** Medical articles (diseases, symptoms, therapies, etc..) | ||
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**Eval data:** NTS-ICD-10 dataset (Classification) | ||
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**Infrastructure:** Gogle Colab | ||
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## 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. | ||
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## Performance (Micro precision, recall and f1 score for multilabel code classification) | ||
![performance](https://raw.githubusercontent.com/smanjil/finetune-lm/master/performance.png) | ||
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## Author | ||
Manjil Shrestha: `shresthamanjil21 [at] gmail.com` | ||
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Get in touch: | ||
[LinkedIn](https://www.linkedin.com/in/manjil-shrestha-038527b4/) |
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