fix bug
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72367307df
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@ -294,6 +294,7 @@ def _create_loraplus_optimizer(
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dict(params=param_dict["embedding"], lr=finetuning_args.loraplus_lr_embedding, **decay_args),
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dict(params=param_dict["embedding"], lr=finetuning_args.loraplus_lr_embedding, **decay_args),
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]
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]
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optimizer = optim_class(param_groups, **optim_kwargs)
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optimizer = optim_class(param_groups, **optim_kwargs)
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logger.info("Using LoRA+ optimizer with loraplus lr ratio {:.2f}.".format(finetuning_args.loraplus_lr_ratio))
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return optimizer
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return optimizer
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@ -303,7 +304,7 @@ def create_custom_optimzer(
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training_args: "Seq2SeqTrainingArguments",
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training_args: "Seq2SeqTrainingArguments",
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finetuning_args: "FinetuningArguments",
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finetuning_args: "FinetuningArguments",
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) -> Optional["torch.optim.Optimizer"]:
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) -> Optional["torch.optim.Optimizer"]:
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if not finetuning_args.use_galore:
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if finetuning_args.use_galore:
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return _create_galore_optimizer(model, dataset, training_args, finetuning_args)
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return _create_galore_optimizer(model, dataset, training_args, finetuning_args)
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if finetuning_args.loraplus_lr_ratio is not None:
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if finetuning_args.loraplus_lr_ratio is not None:
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