paper-with-me

parameter-efficient fine-tuning 벤치마크

parameter-efficient fine-tuning on WinoGrande

3개 결과 · ⬇ CSV · JSON

Accuracy (% )

69.85 70.09 70.32 70.56 70.8 2021-06 2026-11 LLaMA2-7b — 69.85 (2021-06-17) LLaMA2-7b — 70.09 (2024-02-14) LLaMA2-7b — 70.8 (2024-08-27) LLaMA2-7b — 69.85 (2021-06-17) LLaMA2-7b — 70.09 (2024-02-14) LLaMA2-7b — 70.8 (2024-08-27)
RankModel Accuracy (% ) Extra Training Data PaperCodeYear
1 LLaMA2-7b 70.80 ✓ GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs On-Point-RND/GIFT_SW 2024
2 LLaMA2-7b 70.09 ✓ DoRA: Weight-Decomposed Low-Rank Adaptation NVlabs/DoRA · catid/dora · seanzhang-zhichen/llama3-chinese · +2 2024
3 LLaMA2-7b 69.85 ✓ LoRA: Low-Rank Adaptation of Large Language Models labmlai/annotated_deep_learning_paper_implementations · hiyouga/llama-efficient-tuning · tatsu-lab/stanford_alpaca · +71 2021
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