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move efficient_packing from data_args to model_args
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@@ -170,6 +170,9 @@ def get_train_args(args: Optional[Dict[str, Any]] = None) -> _TRAIN_CLS:
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if finetuning_args.stage == "ppo" and model_args.shift_attn:
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raise ValueError("PPO training is incompatible with S^2-Attn.")
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if finetuning_args.stage != "sft" and model_args.efficient_packing:
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raise ValueError("`efficient_packing` cannot be set as True except SFT.")
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if finetuning_args.stage == "ppo" and finetuning_args.reward_model_type == "lora" and model_args.use_unsloth:
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raise ValueError("Unsloth does not support lora reward model.")
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