tiny fix
This commit is contained in:
parent
3875b19a34
commit
edafb97733
|
@ -279,6 +279,9 @@ def prepare_args(
|
|||
if training_args.do_train and (not training_args.fp16):
|
||||
logger.warning("We recommend enable fp16 mixed precision training.")
|
||||
|
||||
if data_args.prompt_template == "alpaca":
|
||||
logger.warning("Please specify `prompt_template` if you are using other pre-trained models.")
|
||||
|
||||
if training_args.local_rank != -1 and training_args.ddp_find_unused_parameters is None:
|
||||
logger.warning("`ddp_find_unused_parameters` needs to be set as False in DDP training.")
|
||||
training_args.ddp_find_unused_parameters = False
|
||||
|
@ -318,6 +321,9 @@ def prepare_infer_args() -> Tuple[ModelArguments, DataTrainingArguments, Finetun
|
|||
if model_args.quantization_bit is not None and finetuning_args.finetuning_type != "lora":
|
||||
raise ValueError("Quantization is only compatible with the LoRA method.")
|
||||
|
||||
if data_args.prompt_template == "alpaca":
|
||||
logger.warning("Please specify `prompt_template` if you are using other pre-trained models.")
|
||||
|
||||
return model_args, data_args, finetuning_args
|
||||
|
||||
|
||||
|
|
Loading…
Reference in New Issue