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Update README.md

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@@ -4,6 +4,27 @@ library_name: peft
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  ## Training procedure
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  ### Framework versions
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  ---
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  ## Training procedure
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+ Finally, it looks like overfitting has been circumvented.
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+
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+ ```python
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+ Train metrics:
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+ {'eval_loss': 0.11367090046405792,
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+ 'eval_accuracy': 0.961073623713503,
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+ 'eval_precision': 0.3506606081587021,
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+ 'eval_recall': 0.9097597679932995,
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+ 'eval_f1': 0.5062071663690367,
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+ 'eval_auc': 0.9359920115129883,
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+ 'eval_mcc': 0.5513080553639849}
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+ Test metrics:
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+ {'eval_loss': 0.11328430473804474,
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+ 'eval_accuracy': 0.9604888971537066,
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+ 'eval_precision': 0.34630886072474065,
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+ 'eval_recall': 0.9135862937475725,
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+ 'eval_f1': 0.5022370749476722,
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+ 'eval_auc': 0.9375606817360377,
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+ 'eval_mcc': 0.5489185177475369}
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+ ```
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+
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  ### Framework versions
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