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Understanding the details of every language and environment and then translating them into appropriate formats can be such a difficult task for AI. GatorTron was pretrained using self-supervised masked language modeling (MLM) objective. We monitored training loss and calculated validation loss using a subset set of the clinical text (5%) to determine the appropriate stopping time. 2, we observed that larger GatorTron models converged faster than the smaller model.
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We had to keep going back and forth with the bot to get something coherent and properly formatted.
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