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Language Modeling on WikiText-103 (fine-tuning) - Efficiency

12.4Training Time (s)π-Attention
-438.43722,604.71395,647.8658,691.0161Oct 8, 2024Dec 13, 2024Feb 18, 2025Apr 26, 2025Jul 1, 2025Sep 6, 2025Nov 12, 2025

Evaluation results

MethodLinks
π-AttentionPhase=Fine-tuning2025.1112.436.78.826255.4—
LongformerPhase=Fine-tuning2025.1114.240.19.533051.2—
RingAttentionPhase=Fine-tuning2025.1114.644.39.234551.7—
BigBirdPhase=Fine-tuning2025.1115.342.810.232048.7—
Full AttentionPhase=Fine-tuning2025.1145.2125.432.134523.4—
GoSGDArchitecture=GPT-2 XL, Evaluation Protocol=Finetuning2024.107,652.33————9.82
LayUpArchitecture=GPT-2 XL, Evaluation Protocol=Finetuning2024.107,688.33————9.75
AD-PSGDArchitecture=GPT-2 XL, Evaluation Protocol=Finetuning2024.107,860————10.52
CO2Architecture=GPT-2 XL, Evaluation Protocol=Finetuning2024.109,789.33————9.91
SlowMoArchitecture=GPT-2 XL, Evaluation Protocol=Finetuning2024.109,791.33————9.88
DDPArchitecture=GPT-2 XL, Evaluation Protocol=Finetuning2024.1011,283.33————9.91