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README.md
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@@ -24,6 +24,7 @@ This is a fine-tuned version of the Minerva model, trained on the [Medical Meado
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criteria = newStoppingCriteria(stop_word = ".")
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stoppingCriteriaList = StoppingCriteriaList([criteria])
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```
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- Since the preprocessed text was formatted as "BoS token - Question - EoS token - BoS token - Answer - EoS token," the model generated answers that included the question as well. To resolve this, I implemented a method to remove the question from the generated text, leaving only the answer:
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criteria = newStoppingCriteria(stop_word = ".")
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stoppingCriteriaList = StoppingCriteriaList([criteria])
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```
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<br>
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- Since the preprocessed text was formatted as "BoS token - Question - EoS token - BoS token - Answer - EoS token," the model generated answers that included the question as well. To resolve this, I implemented a method to remove the question from the generated text, leaving only the answer:
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