Middle layers (20-80%) remain stable during SFT while final layers are sensitive, enabling Mid-Block Efficient Tuning that outperforms LoRA by up to 10.2% on GSM8K with reduced parameter count.
InProceedings of the 2024 ACM Conference on Fairness, Accountabil- ity, and Transparency, FAccT ’24, page 1395–1417, New York, NY , USA
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A Layer-wise Analysis of Supervised Fine-Tuning
Middle layers (20-80%) remain stable during SFT while final layers are sensitive, enabling Mid-Block Efficient Tuning that outperforms LoRA by up to 10.2% on GSM8K with reduced parameter count.