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@@ -36,11 +36,11 @@ It is computationally efficient, preserves the knowledge of the base model well,
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  This is perfect for an AI tutor since students these days need answers immediately or they go onto to other things.
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  They also tend to go down rabbit holes, so while this model is specifically trained for a statistics tutor, keeping the base model knowledge when the explore the rabbit holes can be important.
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  The hyperparameters are as follows:
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- LoRA R: 64
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- LoRA Alpha: 64
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- LoRA Dropout: 0.05
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- Learning Rate: 0.00001
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- Epochs: 3
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  ## Evaluation
 
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  This is perfect for an AI tutor since students these days need answers immediately or they go onto to other things.
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  They also tend to go down rabbit holes, so while this model is specifically trained for a statistics tutor, keeping the base model knowledge when the explore the rabbit holes can be important.
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  The hyperparameters are as follows:
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+  LoRA R: 64
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+  LoRA Alpha: 64
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+  LoRA Dropout: 0.05
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+  Learning Rate: 0.00001
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+  Epochs: 3
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  ## Evaluation