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The impact of different LoRA rank settings 8, 16, 32, and 64 on model performance was analyzed . Results indicate that increasing the rank does not necessarily yield better performance. With the AI Judges mechanism, a rank of 8 achieved the highest average accuracy of 89.25%. As the rank increased, performance displayed a slight downward trend. This suggests that for a dataset size of 1,000 images, a rank of 8 provides sufficient trainable parameters without overfitting, confirming that high performance is achievable with minimal computational cost . |
IEEE/ICACT20260070 Slide.16
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