How can I control data feeding order to model using Huggingface Trainer?

Question

I want to train model in the order in which the data are stored.
For example, if there are 100 data, then I want to feed 1st, 2nd data together(because I set batch_size=2 in code) and then 3rd, 4th data and then 5th, 6th data together and so on....
But huggingface Trainer train model using datacollator and this feed data to model randomly by the parameter data_seed.
How can I train model feeding data in the order in which the data are stored?

# load tokenizer
model_checkpoint = "facebook/bart-base"
tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)

# load model
model = AutoModelForSeq2SeqLM.from_pretrained(model_checkpoint)

# make batch
data_collator = DataCollatorForSeq2Seq(tokenizer, model=model)

batch_size = 2
epochs = 3
args = Seq2SeqTrainingArguments(
    output_dir = "saved_model",
    overwrite_output_dir = True,
    evaluation_strategy = "epoch",
    save_strategy = "epoch",
    learning_rate=2e-5,
    per_device_train_batch_size=batch_size,
    per_device_eval_batch_size=batch_size,
    gradient_accumulation_steps=2,
    weight_decay=0.01,
    num_train_epochs=epochs,
    predict_with_generate=True,
    fp16=False,
    dataloader_num_workers=8,
)
trainer = Seq2SeqTrainer(
    model,
    args,
    train_dataset=tokenized_datasets["train"],
    eval_dataset=tokenized_datasets["validation"],
    data_collator=data_collator,
    tokenizer=tokenizer,
    compute_metrics=compute_metrics
)