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@@ -18,10 +18,12 @@ but this kicked away. maybe the explanation was not enough.
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  ## Process
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  - you need two models with the same architecture
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- - 1. choose one model and fine-tune a model to create a gap between the original one and fine-tuned one.
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- - 2. merge original one and fine-tuned one
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  - 3. evaluate the merged model
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- - 4. merge again it with original model
 
 
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  - 5. evaluate again
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  - 6. keep going until evaluate avg is higher then original one
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  ## Process
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  - you need two models with the same architecture
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+ - 1. choose one model and fine-tune a model to make a gap between the original one and fine-tuned one.
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+ - 2. merge two of them
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  - 3. evaluate the merged model
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+ - 4. fine-tune a specific evaluation part of the model
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+ - 5. evaluate again
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+ - 6. merge again
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  - 5. evaluate again
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  - 6. keep going until evaluate avg is higher then original one
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