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@@ -36,4 +36,5 @@ inference:
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  ## training
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  - for inputs, the model was presented with the post title and the post selftext encoded as: `question: <post title> context: <post selftext>`. You may see better results if queries are posed in this fashion.
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- - The top two replies were aggregated and presented to the model as the output text.
 
 
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  ## training
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  - for inputs, the model was presented with the post title and the post selftext encoded as: `question: <post title> context: <post selftext>`. You may see better results if queries are posed in this fashion.
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+ - The top two replies were aggregated and presented to the model as the output text.
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+ - Training for longer will be explored, but given that the dataset has 127k examples and the loss flatlines at 0.5 epochs this should be fairly viable.