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@@ -12,10 +12,10 @@ pipeline_tag: text-classification
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  library_name: transformers
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  ---
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- # Fine-tuned RE Model for DiMB-RE
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  ## Model Description
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- This is a fine-tuned **Relation Extraction (RE)** model based on the [BiomedNLP-BiomedBERT-base-uncased](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext) model, specifically designed for sentence classification task to extract relations between extract entities for diet, human metabolism and microbiome field. The model has been trained on the DiMB-RE dataset and is optimized to infer relationship with 13 relation types.
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  <!-- ### Key Features:
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  - **Language**: English
 
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  library_name: transformers
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+ # Fine-tuned FD Model for DiMB-RE
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  ## Model Description
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+ This is a fine-tuned **Factuality Detection (FD)** model based on the [BiomedNLP-BiomedBERT-base-uncased](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext) model, specifically designed for sentence classification task to assign factuality level for extracted relations for diet, human metabolism and microbiome field. The model has been trained on the DiMB-RE dataset and is optimized to infer factuality with 3 factuality level.
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  <!-- ### Key Features:
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  - **Language**: English