# Define training arguments
    training_args = TrainingArguments(
        output_dir=output_dir,
        per_device_train_batch_size=4,
        num_train_epochs=25,
        learning_rate=2e-4, # step size in the optimizer update
        save_steps=10_000,
        save_total_limit=2,
        logging_dir='./logs',
        logging_steps=200,
        optim="adamw_torch",
    )

test-size=0.1
dataset=439

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