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@@ -23,11 +23,9 @@ It achieves the following results on the evaluation set:
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  <p align="center"><font size="7"> <b>Before and After Example</b></font></p>
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  <p align="center"><font size="4"> <b>Example model is athirdpath/CleverMage-11b</b></font></p>
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- <p align="center"><font size="5"> <b>Examples with LoRA (min_p, alpaca)</b></font></p>
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- <p align="center"><img src="https://iili.io/JzsmBWv.png"/>
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  <p align="center"><img src="https://iili.io/JzsmqzJ.png"/>
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- <p align="center"><font size="5"> <b>Examples without LoRA (min_p, chatML)</b></font></p>
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- <p align="center"><img src="https://iili.io/JzsmKba.png"/>
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  <p align="center"><img src="https://iili.io/JzsmCsR.png"/>
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  ### Training hyperparameters
 
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  <p align="center"><font size="7"> <b>Before and After Example</b></font></p>
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  <p align="center"><font size="4"> <b>Example model is athirdpath/CleverMage-11b</b></font></p>
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+ <p align="center"><font size="5"> <b>Example with LoRA (min_p, alpaca)</b></font></p>
 
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  <p align="center"><img src="https://iili.io/JzsmqzJ.png"/>
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+ <p align="center"><font size="5"> <b>Example without LoRA (min_p, chatML)</b></font></p>
 
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  <p align="center"><img src="https://iili.io/JzsmCsR.png"/>
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  ### Training hyperparameters