基于 openEuler A-Tune 的训练模型调优框架实现

### 项目名称：
*基于 openEuler A-Tune 的训练模型调优框架实现*

### 项目描述：
*基于智能调优工具， 实现 A-Tune 对深度学习模型的自动调优案例实现。 通过智能调优工提升基础模型 cifar10 的整体分类指标精度同时优化训练速度或者通过大模型技术实现大模型结合A-Tune的智能调优*

### 项目综合难度：
*进阶*

### 技术领域标签：
openEuler A-Tune、深度学习、智能调优、指标提升

### 编程语言标签：
Python、C++、shell

### 项目产出要求：
*输出案例脚本、安装教程、文档， 上传openEuler开源代码仓*

### 项目技术要求：
1、熟悉最基本的机器学习方法， 对模型训练有一定了解；
2、有较强的动手能力， 解决问题复现开源工作的能力；
3、对智能调优算法有一定的了解；

### 项目成果提交仓库：
*https://gitee.com/openeuler/A-Tune*

### 项目相关参考资料：
https://gitee.com/openeuler/A-Tune/tree/master/examples/tuning
https://ptorch.com/docs/3/cifar10_tutorial
https://github.com/eosphoros-ai/DB-GPT

### 项目导师名字&导师邮箱：
杨永光&708917930@qq.com

### Project Title
Development of Model Optimization Framework Based on openEuler A-Tune

### Project Description
This project aims to implement an automatic tuning case for deep learning models using the intelligent tuning tool, A-Tune, under the openEuler ecosystem. By leveraging A-Tune's capabilities, the objective is to enhance both the overall classification accuracy of the fundamental CIFAR-10 model and optimize its training speed, thereby demonstrating effective performance optimization in deep learning tasks.

### Project Difficulty
Advanced

### Technical Field Tags
openEuler, A-Tune, Deep Learning, Intelligent Optimization, Performance Enhancement

### Programming Language Tags
Python, C++, Shell

### Project Deliverables
The deliverables include developed tuning scripts, comprehensive installation guides, and detailed documentation, all to be uploaded to the openEuler open-source code repository.

### Project Technical Requirements
Solid understanding of basic machine learning methodologies and familiarity with model training processes.
Strong hands-on skills and the ability to troubleshoot and reproduce open-source projects.
Basic comprehension of intelligent tuning algorithms and their applications.

### Project Repository for Submission
https://gitee.com/openeuler/A-Tune
https://gitee.com/openeuler/A-Tune/tree/master/examples/tuning

### Related Project Reference Materials
For CIFAR-10 tutorial, refer to external resources due to unavailability at the specified link.
(Note: The original link provided for CIFAR-10 tutorial resulted in a file download failure, hence external research is advised.)

### Mentor's Name & Mentor's Email
Yang Yongguang & 708917930@qq.com

openEuler/open-source-summer

内容风险标识

评论 (1)

openEuler/open-source-summer .gitee-modal { width: 500px !important; }

内容风险标识