The train and validation datasets from the aforementioned random split are used for fine-tuning LLaMA-2-7B. Fine-tuning LLaMA-2-7B for 15 epochs with an initial learning rate of 7e-5 was completed in approximately 70 hours using 2 NVIDIA RTX 4090 GPUs. This model is referred to as "the fine-tuned model" throughout this study.