MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
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Today's paper discusses a new method called MoRA - High-Rank Updating for Parameter-Efficient Fine-Tuning, that aims to improve upon the popular Low-Rank Adaptation (LoRA) technique for fine-tuning large language models. The authors analyze the limitations of LoRA's low-rank updating mechanism and propose using a square matrix to achieve high-rank updating while maintaining the same number of trainable parameters.
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
MoRA: High-Rank Updating for…
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Today's paper discusses a new method called MoRA - High-Rank Updating for Parameter-Efficient Fine-Tuning, that aims to improve upon the popular Low-Rank Adaptation (LoRA) technique for fine-tuning large language models. The authors analyze the limitations of LoRA's low-rank updating mechanism and propose using a square matrix to achieve high-rank updating while maintaining the same number of trainable parameters.