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Update README.md to be more detailed
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README.md

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@@ -208,11 +208,6 @@ LongRoPE's performance can be sensitive to hyperparameters. Key parameters to tu
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Learning rate and scheduler parameters for fine-tuning
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gradient_accumulation_steps for training stability
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- **Base Length**: The initial context length used for fine-tuning.
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- **Target Length**: The final context length to extend to.
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- **Population Size**: The number of candidate solutions to search for during the search algorithm.
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- **Number of Mutations**: The number of mutations to perform during the search algorithm.
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## Results
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My implementation of LongRoPE achieves the following results:

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