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  This is a BERT model that is specifically designed for Named Entity Recognition (NER) in the field of nutrition labeling. Its main objective is to detect and categorize different nutritional components from textual data. By doing so, it provides a systematic understanding of the information generally found on nutrition labels and other nutritional materials.
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- This model was created as a benchmark and learning tool on creating models from augmented data.
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  ## Training Data Description
 
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  This is a BERT model that is specifically designed for Named Entity Recognition (NER) in the field of nutrition labeling. Its main objective is to detect and categorize different nutritional components from textual data. By doing so, it provides a systematic understanding of the information generally found on nutrition labels and other nutritional materials.
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+ This model was created as a benchmark and learning tool on training models from augmented data.
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  ## Training Data Description