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Update README.md

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@@ -56,7 +56,8 @@ response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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  # Notes:
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  - For small datasets with narrow content which the model already has well, and doesn't want the model to forget the knowledge by focusing on o.
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- - Fine-tuned lora with rank = 16 and alpha = 32, epoch = 1
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-
 
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  # Improvement
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  - Increasing rank can help the model do better at robust structure.
 
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  # Notes:
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  - For small datasets with narrow content which the model already has well, and doesn't want the model to forget the knowledge by focusing on o.
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+ - Fine-tuned lora with rank = 16 and alpha = 32, epoch = 1, linear (optim)
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+ - DoRA
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+
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  # Improvement
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  - Increasing rank can help the model do better at robust structure.