forked from p04798526/LLaMA-Factory-Mirror
tiny fix
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3875b19a34
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@ -279,6 +279,9 @@ def prepare_args(
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if training_args.do_train and (not training_args.fp16):
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logger.warning("We recommend enable fp16 mixed precision training.")
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if data_args.prompt_template == "alpaca":
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logger.warning("Please specify `prompt_template` if you are using other pre-trained models.")
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if training_args.local_rank != -1 and training_args.ddp_find_unused_parameters is None:
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logger.warning("`ddp_find_unused_parameters` needs to be set as False in DDP training.")
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training_args.ddp_find_unused_parameters = False
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@ -318,6 +321,9 @@ def prepare_infer_args() -> Tuple[ModelArguments, DataTrainingArguments, Finetun
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if model_args.quantization_bit is not None and finetuning_args.finetuning_type != "lora":
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raise ValueError("Quantization is only compatible with the LoRA method.")
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if data_args.prompt_template == "alpaca":
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logger.warning("Please specify `prompt_template` if you are using other pre-trained models.")
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return model_args, data_args, finetuning_args
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