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@@ -25,9 +25,9 @@ The model was evaluated on a held-out sample from the STAR-QA dataset (see below
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  ## Training Data
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- The model was fine-tuned from a corpus of audit, risk-management, compliance and associated regulatory documents sourced from the public internet. Documents were cleaned and chunked into 2-sentence blocks. Each block was then sent to a state-of-the-art LLM with the following prompt: "Write a question about {document_topic} for which this is the answer: {block}"
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- The resulting question and its associated ground-truth answer (collectively a "pair") constitute a single training example for the fine-tuning step.
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  ## Training
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  The model was fine-tuned with the parameters:
 
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  ## Training Data
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+ The model was fine-tuned on a corpus of audit, risk-management, compliance and associated regulatory documents sourced from the public internet. Documents were cleaned and chunked into 2-sentence blocks. Each block was then sent to a state-of-the-art LLM with the following prompt: "Write a question about {document_topic} for which this is the answer: {block}"
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+ The resulting question and its associated ground-truth answer (collectively a "pair") constitute a single training example for the fine-tuning step. The final model was fine-tuned on ~18K such pairs.
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  ## Training
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  The model was fine-tuned with the parameters: