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training text samples train_labels = […] # List of corresponding labels (0 or 1) train_encodings = tokenizer(train_texts, truncation=True, padding=True) train_dataset = Dataset(train_encodings, train_labels) # Define training arguments training_args = TrainingArguments( output_dir='./results',