LoRA, a parameter-efficient fine-tuning method, performs on par with full fine-tuning for the largest geospatial foundation model tested, while saving memory, but the paper's broad claims about PEFT are only partly supported by its data.
Advances in Neural Information Processing Systems33(2020)
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Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models
LoRA, a parameter-efficient fine-tuning method, performs on par with full fine-tuning for the largest geospatial foundation model tested, while saving memory, but the paper's broad claims about PEFT are only partly supported by its data.