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FinBERT-AML, a transformer-based framework fine-tuned on transaction feature tokens to learn complex dependencies across heterogeneous financial attributes, jointly models categorical and continuous transaction characteristics while overcoming limitations associated with conventional machine learning and sequential architectures.