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[GH-ISSUE #320] 请问R1训练是不是只做了论文中写的2.3.3和2.3.4的内容,而2.3.1和2.3.2实际上只是为了生成数据给2.3.3用的? #249
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Originally created by @ciaoyizhen on GitHub (Feb 8, 2025).
Original GitHub issue: https://github.com/deepseek-ai/DeepSeek-R1/issues/320
跟朋友在聊这个论文

网上很多图是长这样的
这个图是不是错的?
论文里2.3.3里面写到
We fine-tune DeepSeek-V3-Base for two epochs using the above curated dataset of about 800k samples.然后摘要里也写到
所以是不是论文中写的sft-rl-sft-rl的这四个阶段,实际上前两个阶段只是训了一个模型,然后用这个模型生成了数据,然后又是从V3-base开始训一个sft-rl就好了
想知道 是不是训练实际上也还是sft+rl?
求大佬回复一下!!!谢谢🙏
@zrmzack commented on GitHub (Feb 8, 2025):
去看下youtube 解说r1 和v3 的论文,详细描述了这个v3---r1; r1只有rl了
@sflowing commented on GitHub (Feb 13, 2025):
Good question, and I have the exact same question!
Is this pipeline right?
@ciaoyizhen commented on GitHub (Feb 19, 2025):
@sflowing
video of huggingface about deepseek
I think you are right.