Parameter-Efficient Transformer
Fine-tuned RoBERTa-base on AG News using LoRA to train just 0.4% of parameters, achieving 92.3% accuracy in 3 epochs. Reduced GPU memory by 50% and enabled scalable deployment under 5 min/epoch.
Fine-tuned RoBERTa-base on AG News using LoRA to train just 0.4% of parameters, achieving 92.3% accuracy in 3 epochs. Reduced GPU memory by 50% and enabled scalable deployment under 5 min/epoch.