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batch_size=args.per_device_eval_batch_size) DataLoader is a PyTorch class used for optimized and efficient data loading in the GPU memory. At this stage, data instances will be converted into tensors. For the training set, we usually opt for shuffling, so if we rerun the same experiment, the