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README.md
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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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| 37 |
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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| 38 |
The hyperparameters are as follows:
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| 39 |
+
 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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