AttributeError: 'TrainingArguments' object has no attribute 'model_init_kwargs'

Beginners
1

I have set the training parameters like this:

    output_dir="./results",
    num_train_epochs=1,
    per_device_train_batch_size=4,
    gradient_accumulation_steps=1,
    optim="paged_adamw_32bit",
    save_steps=0,
    logging_steps=25,
    learning_rate=2e-4,
    weight_decay=0.001,
    fp16=False,
    bf16=False,
    max_grad_norm=0.3,
    max_steps=-1,
    warmup_ratio=0.03,
    group_by_length=True,
    lr_scheduler_type="True",
    report_to="tensorboard"
)

# Set supervised fine-tuning parameters
trainer = SFTTrainer(
    model=model,
    train_dataset=tokenized_dataset["train"],
    peft_config=peft_config,
    dataset_text_field="formatted_instruction",
    max_seq_length=max_seq_length,
    tokenizer=tokenizer,
    args=training_arguments,
    #args=SFTConfig(output_dir="/home/operation/snehal_code/tmp"),
    packing=packing, 
)

trainer.train()
trainer.model.save_pretrained(new_model)

I have got the following error:

~/venv/lib/python3.33/site-packages/huggingface_hub/utils/deprecation.py:101, in _deprecate_arguments.<locals>._inner_deprecate_positional_args.<locals>.inner_f(*args, **kwargs)
        message += "\n\n" + custom_message
     warnings.warn(message, FutureWarning)
return f(*args, **kwargs)


warnings.warn(
 "You passed `model_init_kwargs` to the SFTTrainer, the value you passed will override the one in the `SFTConfig`."
      )
          args.model_init_kwargs = model_init_kwargs
if args.model_init_kwargs is None:
          model_init_kwargs = {}
elif not isinstance(model, str):

packages/trl/trainer/sft_trainer.py:156) elif not isinstance(model, str): AttributeError: 'TrainingArguments' object has no attribute 'model_init_kwargs'

I do not understand where exactly attribute model_init_kwargs is and how I can resolve this error.

Any help in this would be highly appreciable!