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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 3

Unified efficient fine-tuning framework based on efficient tuning methods and its applications

Chen Shuailiang
Tian Yanshan
Dong Liming
Duan Xiaoying
Li Jiahui
Ningxia Normal University, School of Mathematics & Computer Science, Guyuan Ningxia 756099, China
DOI: 10.19734/j.issn.1001-3695.2024.07.0264

Abstract

To address the issue of large-scale parameter tuning, a series of efficient fine-tuning methods have emerged. However, challenges remain in integrating these different methods into a unified and effective framework. Additionally, the application of unified tuning approach to vision tasks is still limited. Therefore, this paper proposed the Unified Efficient Fine-Tuning Architecture, ETTA (Efficient Transformer Tuning Architecture) . First, by examining the similarities between the working principles of adapters and prefix tuning, the method derived the rationale for integrating these two methods into a unified tuning architecture. Second, in the selection of adapters, this paper proposed should opt for parallel adapters due to their superior performance, while introducing scalable prefixes to create a variant of prefix tuning. Then integrated these two methods to form the unified tuning architecture ETTA, applying parallel adapters to the Transformer feed-forward neural network layers with a large bottleneck dimension, and scalable prefix tuning to the multi-head attention layers with a smaller number of tunable prefix vectors. Finally, this paper proposed that applying ETTA to six image classification or object detection tasks and compared in terms of performance with three tuning strategies. The results indicated that using the unified efficient tuning architecture, fine-tuning only a small number of parameters can achieve results close to full parameter fine-tuning while maintaining good performance. The effectiveness and performance of the ETTA method for computer vision tasks had been demonstrated.

Foundation Support

国家自然科学基金资助项目(62262054)
宁夏自然科学基金资助项目(2018BEE03025,2018BEE03026)
宁夏重点研发计划项目(2023BEG02072)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.07.0264
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 3

Publish History

[2024-12-11] Accepted Paper

Cite This Article

陈帅良, 田彦山, 董力鸣, 等. 基于高效调优方法的统一高效微调架构及应用 [J]. 计算机应用研究, 2025, 42 (3). (2024-12-16). https://doi.org/10.19734/j.issn.1001-3695.2024.07.0264. (Chen Shuailiang, Tian Yanshan, Dong Liming, et al. Unified efficient fine-tuning framework based on efficient tuning methods and its applications [J]. Application Research of Computers, 2025, 42 (3). (2024-12-16). https://doi.org/10.19734/j.issn.1001-3695.2024.07.0264. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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