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Update README.md
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README.md
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## Training Data
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- **Data Sources**: Annotated datasets, including clinical data and translations of English medical text into German.
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- **Data Augmentation**: The training dataset underwent data augmentation techniques to improve the model's ability to generalize to different text structures.
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- **Dataset Split
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- **Training Set**: 80%
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- **Validation Set**: 10%
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- **Test Set**: 10%
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- precision = 0.7893554696639308
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- recall = 0.7845608617193459
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## How to Use
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You can easily use this model with the Hugging Face `transformers` library. Here's an example of how to load and use the model for inference:
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## Training Data
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- **Data Sources**: Annotated datasets, including clinical data and translations of English medical text into German.
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- **Data Augmentation**: The training dataset underwent data augmentation techniques to improve the model's ability to generalize to different text structures.
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- **Dataset Split**
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- **Training Set**: 80%
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- **Validation Set**: 10%
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- **Test Set**: 10%
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- precision = 0.7893554696639308
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- recall = 0.7845608617193459
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Visit [HUMADEX/Weekly-Supervised-NER-pipline](https://github.com/HUMADEX/Weekly-Supervised-NER-pipline) for more info.
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## How to Use
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You can easily use this model with the Hugging Face `transformers` library. Here's an example of how to load and use the model for inference:
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