trainer = Trainer(

    model=model,

    train_dataset=train_data,

    eval_dataset=val_data,

    args=TrainingArguments(

    per_device_train_batch_size = micro_batch_size,

    per_device_eval_batch_size = micro_batch_size,

    gradient_accumulation_steps = gradient_accumulation_steps,

    warmup_steps = warmup_steps,

    num_train_epochs = num_epochs,

    learning_rate = learning_rate,

    adam_beta1 = beta1, # adam 활용할때 사용

    adam_beta2 = beta2, # adam 활용할때 사용

    fp16 = use_fp16,

    bf16 = use_bf_16,

    logging_steps = logging_steps,

    optim = optimizer,

    evaluation_strategy = evaluation_strategy if val_size > 0 else "no",

    save_strategy="steps",  #스텝기준으로 save

    eval_steps = eval_steps if val_size > 0 else None,

    save_steps = save_steps,

    lr_scheduler_type=lr_scheduler,

    output_dir = output_dir,

    #save_total_limit = 4,

    load_best_model_at_end = True if val_size > 0 else False ,

    group_by_length=group_by_length,

    report_to="wandb" if use_wandb else None,

    run_name=wandb_run_name if use_wandb else None,

    ),

    data_collator=DataCollatorForSeq2Seq(

        tokenizer, pad_to_multiple_of=8, return_tensors="pt", padding=True

        ),

    )

에서

TypeError: TrainingArguments.__init__() got an unexpected keyword argument 'evaluation_strategy'

발생이 되고 있습니다.

args=TrainingArguments

가 문제되고 있는데 가이드 부탁드립니다.