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  # Fine-tuned NER Model for DiMB-RE
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  ## Model Description
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- This is a fine-tuned **Named Entity Recognition (NER)** model based on the [BiomedNLP-BiomedBERT-base-uncased](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext) model, specifically designed for span prediction tasks for extracting entity and trigger mentions for diet, human metabolism and microbiome field. The model has been trained on the DiMB-RE dataset and is optimized to identify spans for 15 different entity types, as well as 13 different trigger types.
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  <!-- ### Key Features:
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  - **Language**: English
 
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  # Fine-tuned NER Model for DiMB-RE
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  ## Model Description
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+ This is a fine-tuned **Named Entity Recognition (NER)** model based on the [BiomedNLP-BiomedBERT-base-uncased](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext) model, specifically designed for **span prediction task** to extract entity and trigger mentions for diet, human metabolism and microbiome field. The model has been trained on the DiMB-RE dataset and is optimized to identify spans for 15 different entity types, as well as 13 different trigger types.
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  <!-- ### Key Features:
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  - **Language**: English