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English(EN) SFT and GRPO on Qwen3.5-4B: Results From an Arithmetic Task

Qwen3.5 4B 算术任务表现通过 SFT 和 Grpo 进行分析

一项研究探讨了监督微调 (SFT) 和近端策略优化 (Grpo) 在 Qwen3.5 4B 模型上执行算术任务的有效性。结果表明,SFT 提高了测试准确性,而使用 Grpo 的三次独立的基于奖励的调优运行表现低于 SFT 验证基线。 AI

影响 这项研究为在特定任务上微调小型语言模型的技术提供了见解。

排序理由 该集群包含一篇详细介绍现有模型微调实验的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 Medium — fine-tuning tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Qwen3.5 4B 算术任务表现通过 SFT 和 Grpo 进行分析

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该集群包含一篇详细介绍现有模型微调实验的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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完整方法见我们的编辑标准。

报道来源 [1]

  1. Medium — fine-tuning tag TIER_1 English(EN) · Romene ·

    SFT 和 GRPO 在 Qwen3.5-4B 上的应用:一项算术任务的结果

    <div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@romene3022/sft-and-grpo-on-qwen3-5-4b-results-from-an-arithmetic-task-16879ac0a6dd?source=rss------fine_tuning-5"><img src="https://cdn-images-1.medium.com/max/2600/0*lvrZJ3R7Yb5zk_Ak" width="…