QR-LoRA trains only scalar coefficients on a pivoted QR basis of pretrained weights, reportedly matching full fine-tuning on GLUE with 601 parameters.
In- trinsic dimensionality explains the effectiveness of language model fine-tuning, 2020
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QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models
QR-LoRA trains only scalar coefficients on a pivoted QR basis of pretrained weights, reportedly matching full fine-tuning on GLUE with 601 parameters.