{"id":4544,"date":"2025-03-21T16:47:46","date_gmt":"2025-03-21T08:47:46","guid":{"rendered":"http:\/\/www.sniper97.cn\/?p=4544"},"modified":"2025-04-01T16:56:36","modified_gmt":"2025-04-01T08:56:36","slug":"dapo%e5%9f%ba%e4%ba%8egrpo%e4%b8%93%e4%b8%ba%e9%95%bf%e6%8e%a8%e7%90%86%e4%bc%98%e5%8c%96%e7%9a%84%e5%bc%ba%e5%8c%96%e5%ad%a6%e4%b9%a0%e6%96%b9%e6%a1%88","status":"publish","type":"post","link":"http:\/\/www.sniper97.cn\/index.php\/note\/deep-learning\/note-deep-learning\/rl\/4544\/","title":{"rendered":"\u3010\u5f3a\u5316\u5b66\u4e60\u3011DAPO:\u57fa\u4e8eGRPO\u4e13\u4e3a\u957f\u63a8\u7406\u4f18\u5316\u7684\u5f3a\u5316\u5b66\u4e60\u65b9\u6848"},"content":{"rendered":"\n

\u524d\u8a00<\/h1>\n\n\n\n

\u867d\u7136DeepSeek R1\u4e3a\u5927\u5bb6\u63d0\u4f9b\u4e86\u4e00\u4e2a\u4f7f\u7528\u5f3a\u5316\u5b66\u4e60\u6765\u5b8c\u6210\u63a8\u7406\u80fd\u529b\u7684\u8def\u7ebf\uff0c\u4f46\u662f\u6700\u5173\u952e\u7684\u6280\u672f\u548c\u7ec6\u8282\u5f80\u5f80\u88ab\u9690\u85cf\uff0c\u56e0\u6b64\u793e\u533a\u5185\u8fd8\u6ca1\u6709\u590d\u73b0\u4ed6\u4eec\u7684\u7ed3\u679c\u3002<\/p>\n\n\n\n

\u5b57\u8282\u8df3\u52a8Seed+\u6e05\u534e\u5927\u5b66\u63d0\u51fa\u4e86\u89e3\u8026\u88c1\u526a\u548c\u52a8\u6001\u91c7\u6837\u7b56\u7565\u4f18\u5316\uff08D<\/strong>ecoupled Clip and D<\/strong>ynamic sA<\/strong>mpling P<\/strong>olicy O<\/strong>ptimization\uff0cDAPO\uff09\u7b97\u6cd5\uff0c\u5e76\u4e14\u5f00\u6e90\u4e86\u76f8\u5173\u4ee3\u7801\u548c\u8bba\u6587\uff0c\u8be5\u7cfb\u7edf\u5728AIME2024\u4e0a\u8fbe\u5230\u4e8650\u5206\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u4e3b\u8981\u7684\u6539\u8fdb\u4e3a\uff1a<\/p>\n\n\n\n

    \n
  1. \u65b0\u589e\u88c1\u526a\u504f\u79fb\uff08Clip-Shifting)<\/strong>\uff0c\u4fc3\u8fdb\u7cfb\u7edf\u591a\u6837\u6027\u5e76\u4e14\u5141\u8bb8\u81ea\u9002\u5e94\u91c7\u6837\u3002<\/li>\n\n\n\n
  2. \u52a8\u6001\u91c7\u6837\uff08Dynamic Samping\uff09<\/strong>\uff0c\u63d0\u9ad8\u8bad\u7ec3\u6548\u7387\u548c\u7a33\u5b9a\u6027\u3002<\/li>\n\n\n\n
  3. Token\u7ea7\u7b56\u7565\u68af\u5ea6\u635f\u5931\uff08Token-Level Policy Gradient Loss\uff09<\/strong>\uff0c\u8fd9\u5728\u957fCoT RL\u573a\u666f\u4e2d\u81f3\u5173\u91cd\u8981\u3002<\/li>\n\n\n\n
  4. \u6ea2\u51fa\u5956\u52b1\u5851\u9020\uff08Overflowing Reward Shaping\uff09<\/strong>\uff0c\u51cf\u5c11\u5956\u52b1\u51fd\u6570\u7684\u566a\u97f3\u5e76\u4e14\u7a33\u5b9a\u8bad\u7ec3\u3002<\/li>\n<\/ol>\n\n\n\n

    \u524d\u7f6e\u77e5\u8bc6<\/h1>\n\n\n\n

    PPO<\/h2>\n\n\n\n

    PPO\u7684\u7b97\u6cd5\u6d41\u7a0b\u4e3b\u8981\u67095\u4e2a\u6b65\u9aa4\uff1a<\/p>\n\n\n\n

      \n
    1. \u751f\u6210\u6587\u672c\uff08Rollout\uff09\uff1a\u7b56\u7565\u6a21\u578b\u4e3a\u4e0d\u540c\u7684prompt\u751f\u6210\u5927\u91cf\u7684\u6837\u672c\u3002<\/li>\n\n\n\n
    2. \u83b7\u53d6\u5206\u6570\uff08Reward\uff09\uff1a\u4f7f\u7528\u5956\u52b1\u6a21\u578b\u4e3a\u6bcf\u4e2a\u6837\u672c\u8fdb\u884c\u6253\u5206\u3002<\/li>\n\n\n\n
    3. \u8ba1\u7b97\u4f18\u52bf\uff08Generalized Advantage Estimation\uff0cGAE\uff0c\u5e7f\u4e49\u4f18\u52bf\u4f30\u8ba1\uff09\uff1a\u8ba1\u7b97\u6bcf\u4e2a\u5355\u8bcd\u9009\u62e9\u7684\u4f18\u52bf\u4e0e\u52a3\u52bf\uff0c\u8003\u8651\u5956\u52b1\u548c\u4ef7\u503c\u51fd\u6570\u7684\u9884\u6d4b\u3002<\/li>\n\n\n\n
    4. \u4f18\u5316LLM\uff08\u7b56\u7565\u66f4\u65b0\uff09\uff1a\u66f4\u65b0LLM\u6a21\u578b\u4ee5\u6700\u5c0f\u5316PPO\u635f\u5931\u3002<\/li>\n<\/ol>\n\n\n\n

      \u8fd9\u4e2a\u635f\u5931\u51fd\u6570\u4e3b\u8981\u6709\u4ee5\u4e0b\u51e0\u4e2a\u90e8\u5206\uff1a<\/p>\n\n\n\n

        \n
      1. \u5956\u52b1\uff1a\u9f13\u52b1\u66f4\u9ad8\u7684\u5956\u52b1\uff0c\u4ed6\u80fd\u63a8\u52a8\u6a21\u578b\u751f\u6210\u66f4\u9ad8\u5206\u6570\u7684\u6837\u672c\u3002<\/li>\n\n\n\n
      2. \u9650\u5236\uff08\u526a\u5207\u76ee\u6807\uff09\uff1a\u4ed6\u80fd\u9632\u6b62\u7b56\u7565\u5728\u4e00\u6b21\u66f4\u65b0\u4e2d\u53d8\u5316\u8fc7\u5927\uff0c\u4fdd\u6301\u8bad\u7ec3\u7a33\u5b9a\u6027\u3002<\/li>\n\n\n\n
      3. KL\u60e9\u7f5a\uff1a\u5982\u679c\u65b0\u7b56\u7565\u4e0e\u65e7\u7b56\u7565\u504f\u5dee\u592a\u5927\uff0c\u5c31\u4f1a\u8fdb\u884c\u60e9\u7f5a\uff0c\u8fdb\u4e00\u6b65\u589e\u52a0\u6a21\u578b\u8bad\u7ec3\u7684\u7a33\u5b9a\u6027\u3002<\/li>\n\n\n\n
      4. \u71b5\u5956\u52b1\uff1a\u71b5\u7528\u6765\u8861\u91cf\u751f\u6210\u6587\u672c\u7684\u201c\u968f\u673a\u6027\u201d\u548c\u201c\u591a\u6837\u6027\u201d\u3002\u589e\u52a0\u71b5\u53ef\u4ee5\u9f13\u52b1\u6a21\u578b\u66f4\u591a\u7684\u63a2\u7d22\uff0c\u5b83\u6709\u52a9\u4e8e\u9632\u6b62\u6a21\u578b\u8fc7\u65e9\u7684\u8fdb\u5165\u201c\u786e\u5b9a\u201d\u6a21\u5f0f\uff0c\u4ece\u800c\u9632\u6b62\u8fc7\u62df\u5408\u7684\u53d1\u751f\u3002<\/li>\n<\/ol>\n\n\n\n

        \u4e3a\u4ec0\u4e48\u662fGAE\uff1f<\/p>\n\n\n\n

          \n
        • \u8499\u7279\u5361\u6d1b\uff08MC\uff09\u2014\u2014 \u9ad8\u65b9\u5dee\uff0c\u4f4e\u504f\u5dee<\/strong>\uff1a\u60f3\u8c61\u4e00\u4e0b\u7b49\u5230\u6574\u4e2a\u6587\u672c\u751f\u6210\u540e\u518d\u83b7\u5f97\u5956\u52b1\uff0c\u7136\u540e\u5c06\u8be5\u5956\u52b1\u5206\u914d\u7ed9\u6587\u672c\u4e2d\u7684\u6bcf\u4e00\u4e2a\u5355\u8bcd\u3002\u8db3\u7403\u8d5b\uff0c\u4fe1\u7528\u5206\u914d\u95ee\u9898\uff0c\u5bf9\u5355\u4e2a\u52a8\u4f5c\u7684\u4fe1\u53f7\u975e\u5e38\u5608\u6742\u3002\u9ad8\u65b9\u5dee\uff0c\u5b66\u4e60\u901f\u5ea6\u6162\u3002<\/li>\n\n\n\n
        • \u65f6\u95f4\u5dee\u5206\uff08TD\uff09\u2014\u2014 \u4f4e\u65b9\u5dee\uff0c\u9ad8\u504f\u5dee<\/strong>\uff1a\u5728\u6bcf\u4e00\u4e2a\u52a8\u4f5c\u540e\u90fd\u7ed9\u4e88\u4e00\u4e2a\u5956\u52b1\uff0c\u4fe1\u53f7\u4e0d\u90a3\u4e48\u5608\u6742\uff0c\u5b66\u4e60\u901f\u5ea6\u66f4\u5feb\u3002\u4f46\u662f\uff0c\u6211\u4eec\u53ea\u662f\u5c40\u90e8\u5730\u5224\u65ad\uff0c\u5e76\u4e0d\u662f\u6240\u6709\u7684\u8d2a\u5fc3\u89e3\u539a\u5b9e\u6700\u4f18\u89e3\uff0c\u56e0\u6b64\u4f1a\u6709\u504f\u5dee\uff0c\u53ef\u80fd\u4f1a\u9677\u5165\u5c40\u90e8\u6700\u4f18\u89e3\uff0c\u9519\u8fc7\u66f4\u4f18\u79c0\u7684\u65b9\u6848\u3002<\/li>\n\n\n\n
        • GAE \u2014\u2014 \u5e73\u8861<\/strong>\uff1a\u5e7f\u4e49\u4f18\u52bf\u4f30\u8ba1\uff08GAE\uff09\u5c31\u50cf\u201c\u591a\u6b65 TD\u201d\u3002\u5b83\u8003\u8651\u4e86\u591a\u4e2a\u6b65\u9aa4\uff08\u5355\u8bcd\uff09\u4e0a\u7684\u5956\u52b1\uff0c\u5e73\u8861\u4e86\u65b9\u5dee\uff08MC\uff09\u4e0e\u504f\u5dee\uff08TD\uff09\u4e4b\u95f4\u7684\u6743\u8861\u3002\u5c31\u50cf\u4e0d\u4ec5\u5728\u7ed3\u675f\u65f6\u7ed9\u4e88\u5956\u52b1\uff0c\u8fd8\u5728\u4ef7\u503c\u51fd\u6570\u9884\u6d4b\u7684\u6307\u5bfc\u4e0b\uff0c\u4e3a\u6cbf\u9014\u7684\u201c\u5c0f\u6b65\u9aa4\u201d\u7ed9\u4e88\u5956\u52b1\u3002<\/li>\n<\/ul>\n\n\n\n
          \"\"<\/figure>\n\n\n\n

          DPO<\/h1>\n\n\n\n

          \u76f4\u63a5\u544a\u8bc9LLM\uff0cresponse A > response B\u3002<\/p>\n\n\n\n

          DPO\u7684\u635f\u5931\u5305\u62ec\uff1a<\/p>\n\n\n\n

            \n
          1. \u4f7f\u7528\u7c7b\u4f3c\u4e8e\u6587\u672c\u5206\u7c7b\u7684\u4ea4\u53c9\u71b5\u76f8\u4f3c\u7684loss\u6765\u589e\u52a0\u9996\u9009\u9879\u7684logits\u548c\u6982\u7387\uff0c\u540c\u7406\uff0c\u964d\u4f4e\u975e\u9996\u9009\u9879\u7684logits\u548c\u6982\u7387\u3002<\/li>\n\n\n\n
          2. \u4fdd\u6301\u548c\u53c2\u8003\u6a21\u578b\uff08\u4f8b\u5982sft\u6a21\u578b\uff09\u76f8\u5bf9\u63a5\u8fd1\u3002<\/li>\n<\/ol>\n\n\n\n

            GRPO<\/h2>\n\n\n\n

            GRPO\u662f\u4e00\u4e2a\u66f4\u7b80\u6d01\u7684PPO\u7b97\u6cd5\u3002\u4ed6\u53bb\u6389\u4e86Value\u6a21\u578b\uff0c\u4f7f\u7b97\u6cd5\u75314\u4e2a\u6a21\u578b\u7f29\u5c0f\u4e3a3\u4e2a\uff0c\u964d\u4f4e\u4e86\u663e\u5b58\u9700\u6c42\u5e76\u4e14\u63d0\u9ad8\u4e86\u8bad\u7ec3\u901f\u5ea6\u3002<\/p>\n\n\n\n

            \u90a3\u4e48\u5982\u4f55\u89e3\u51b3\u7f3a\u5931\u7684value\u6a21\u578b\u5462\uff1fGRPO\u901a\u8fc7\u5bf9\u540c\u4e00\u4e2aprompt\uff0c\u4f7f\u7528LLM\u8fdb\u884cn\u6b21\u91c7\u6837\uff0c\u8ba1\u7b97\u4e00\u4e2a\u5e73\u5747\u5f97\u5206\u6765\u4f30\u8ba1value\uff08GRAE\uff09\u3002<\/p>\n\n\n\n

            \u6574\u4f53\u8bad\u7ec3\u6d41\u7a0b\u4e3a\uff1a<\/p>\n\n\n\n

              \n
            1. \u751f\u6210\u54cd\u5e94<\/strong>\uff1a\u5bf9\u540c\u4e00\u4e2aprompt\u751f\u6210\u4e00\u7ec4\u54cd\u5e94\u3002<\/li>\n\n\n\n
            2. \u7ec4\u5185\u8fdb\u884c\u6253\u5206<\/strong>\uff1a\u4f7f\u7528Reward model\u5bf9\u6bcf\u4e2a\u6837\u672c\u8fdb\u884c\u6253\u5206\u3002<\/li>\n\n\n\n
            3. \u8ba1\u7b97\u7ec4\u5185\u76f8\u5bf9\u4f18\u52bf\uff08GRAE\uff09<\/strong>\uff1a\u901a\u8fc7\u6bd4\u8f83\u5e76\u4e14\u5f52\u4e00\u5316\u6bcf\u4e2aresponse\u5728\u7ec4\u5185\u7684\u5e73\u5747\u5956\u52b1\u6765\u8ba1\u7b97\u4f18\u52bf\u3002<\/li>\n\n\n\n
            4. \u4f18\u5316\u7b56\u7565\uff08PPO\u4f18\u5316\uff09<\/strong>\uff1a\u4f7f\u7528loss\u5bf9LLM\u8fdb\u884c\u66f4\u65b0\u3002<\/li>\n<\/ol>\n\n\n\n
              \"\"<\/figure>\n\n\n\n

              DAPO<\/h1>\n\n\n\n

              \u4e3b\u8981\u6539\u8fdb<\/h2>\n\n\n\n

              \u79fb\u9664KL\u6563\u5ea6<\/h3>\n\n\n\n

              \u7531\u4e8e\u5e38\u89c4RLHF\u6a21\u578b\u7684\u76ee\u7684\u662f\u5bf9\u9f50\uff0c\u9700\u8981\u548c\u539f\u6a21\u578b\u4e0d\u80fd\u6709\u8f83\u5927\u7684\u504f\u5dee\uff0c\u4f46\u662f\u5bf9\u4e8eLong CoT\u6a21\u578b\uff0c\u9996\u5148\u4efb\u52a1\u4e0a\u5c31\u6709\u8f83\u5927\u7684\u5206\u5e03\u8f6c\u79fb\uff0c\u56e0\u6b64\u6709KL\u6563\u5ea6\u662f\u4e00\u4e2a\u8f83\u5dee\u7684\u7ea6\u675f\u3002<\/p>\n\n\n\n

              \u6211\u4eec\u7684\u5b9e\u9a8c\u4e5f\u8bc1\u660e\u4e86\u53bb\u6389KL\u6563\u5ea6\uff08\u7cfb\u65700\uff09\u6027\u80fd\u662f\u6709\u4e00\u5b9a\u7684\u63d0\u5347\u7684\u3002<\/p>\n\n\n\n

              \u88c1\u526a\u504f\u79fb\uff08Clip-Shifting)<\/h3>\n\n\n\n

              \u71b5\u574d\u7f29\u73b0\u8c61\u73b0\u8c61\uff0c\u5bfc\u81f4\u67d0\u4e9b\u7ec4\u751f\u6210\u7684\u7ed3\u679c\u51e0\u4e4e\u76f8\u540c\uff0c\u9650\u5236\u4e86\u63a2\u7d22\u3002\uff08Entropy Collapse\uff08\u71b5\u574d\u584c\uff09<\/strong>\uff1a\u5728\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\u4e2d\uff0c\u6a21\u578b\u8f93\u51fa\u7684\u6982\u7387\u5206\u5e03\u53d8\u5f97\u8fc7\u4e8e\u96c6\u4e2d\uff0c\u5bfc\u81f4\u63a2\u7d22\u80fd\u529b\u4e0b\u964d\uff0c\u591a\u6837\u6027\u964d\u4f4e\u7684\u73b0\u8c61\u3002\u53ef\u4ee5\u7406\u89e3\u4e3a\u6a21\u578b\u53d8\u5f97\u201c\u61d2\u60f0\u201d\uff0c\u53ea\u503e\u5411\u4e8e\u9009\u62e9\u5c11\u6570\u51e0\u4e2a\u9ad8\u6982\u7387\u7684\u52a8\u4f5c\uff0c\u800c\u5ffd\u7565\u4e86\u5176\u4ed6\u53ef\u80fd\u7684\u52a8\u4f5c\u3002\uff09<\/p>\n\n\n\n

              \u4e3a\u4ec0\u4e48clip\u7684\u673a\u5236\u4f1a\u5f71\u54cd\u6982\u7387\uff1f\u51c6\u786e\u6765\u8bf4\uff0c\u662f\u9650\u5236\u4e86\u4f4e\u6982\u7387Token\u7684\u6982\u7387\u589e\u957f\uff0c\u4ece\u800c\u9650\u5236\u4e86\u591a\u6837\u6027\u3002<\/p>\n\n\n\n

              \u5177\u4f53\u6765\u8bf4\uff0cclip \u673a\u5236\u6291\u5236\u4e86\u4f4e\u6982\u7387Token\u7684\u589e\u957f\uff0c\u5b83\u4eec\u53ef\u80fd\u6c38\u8fdc\u65e0\u6cd5\u6210\u4e3a\u9ad8\u6982\u7387Token\uff0c\u56e0\u6b64\u6a21\u578b\u66f4\u503e\u5411\u4e8e\u7ef4\u6301\u539f\u6709\u7684\u9ad8\u6982\u7387Token\uff08\u9ad8\u6982\u7387Token\u66f4\u5bb9\u6613\u4fdd\u6301\u9ad8\u6982\u7387\u6216\u7ee7\u7eed\u589e\u52a0\uff09\uff0c\u800c\u4e0d\u662f\u63a2\u7d22\u65b0\u7684Token\uff0c\u5bfc\u81f4\u751f\u6210\u7684\u5185\u5bb9\u7f3a\u4e4f\u591a\u6837\u6027\u3002DAPO\u5c06\u4e0b\u88c1\u526a\u8303\u56f4\u03b5<\/em>low\u8bbe\u7f6e\u4e3a0.2\uff0c\u4e0a\u88c1\u526a\u8303\u56f4\u03b5<\/em>high\u8bbe\u7f6e\u4e3a0.28\uff0c\u4ece\u800c\u5728\u4fdd\u6301\u7a33\u5b9a\u6027\u7684\u540c\u65f6\u63d0\u5347\u7b56\u7565\u7684\u591a\u6837\u6027\u3002<\/p>\n\n\n\n

              \"\"<\/figure>\n\n\n\n

              \u52a8\u6001\u91c7\u6837<\/h3>\n\n\n\n

              \u73b0\u6709\u7684 RL \u7b97\u6cd5\u5728\u67d0\u4e9b\u63d0\u793a\u7684\u51c6\u786e\u7387\u7b49\u4e8e 1 \u65f6\u901a\u5e38\u4f1a\u9047\u5230\u68af\u5ea6\u51cf\u5c11\u95ee\u9898\u3002\u4f8b\u5982\u5bf9\u4e8e GRPO\uff0c\u5982\u679c\u7279\u5b9a\u63d0\u793a\u7684\u6240\u6709\u8f93\u51fa\u90fd\u662f\u6b63\u786e\u7684\uff0c\u90a3\u4e48\u8be5\u7ec4\u7684\u7ed3\u679c\u4f18\u52bf\u4e3a\u96f6\u3002\u96f6\u4f18\u52bf\u5bfc\u81f4\u7b56\u7565\u66f4\u65b0\u6ca1\u6709\u68af\u5ea6\uff0c\u8fd9\u610f\u5473\u7740\u6bcf\u4e2a\u6279\u6b21\u4e2d\u6709\u6548\u63d0\u793a\u7684\u6570\u91cf\u4e0d\u65ad\u51cf\u5c11\uff0c\u8fd9\u53ef\u80fd\u5bfc\u81f4\u68af\u5ea6\u65b9\u5dee\u66f4\u5927\uff0c\u5e76\u524a\u5f31\u6a21\u578b\u8bad\u7ec3\u7684\u68af\u5ea6\u4fe1\u53f7\u3002<\/p>\n\n\n\n

              \u56e0\u6b64\uff0cDAPO\u4f1a\u8fc7\u6ee4\u91c7\u6837\u51c6\u786e\u7387\u4e3a0\u548c1\u7684\u6837\u672c\uff0c\u76f4\u81f3\u6837\u672c\u5185\u4e0d\u5b8c\u5168\u4e3a0\u548c1\u3002\u6301\u7eed\u8fc7\u6ee4\u5168\u5bf9\/\u5168\u9519\u6837\u672c\uff0c\u5b9e\u9645\u4e0a\u6784\u5efa\u4e86\u4e00\u4e2a\u300c\u4e2d\u7b49\u96be\u5ea6\u300d\u8bad\u7ec3\u96c6\uff0c\u8fd9\u6837\u53ef\u4ee5\u4fdd\u8bc1\u6bcf\u4e2a batch \u4e2d\u7684\u6837\u672c\u90fd\u80fd\u5bf9\u6a21\u578b\u7684\u8bad\u7ec3\u4ea7\u751f\u79ef\u6781\u4f5c\u7528\uff0c\u6b64\u5916\u5e26\u6765\u4e86\u8bad\u7ec3\u6548\u7387\u7684\u63d0\u5347\uff0c\u66f4\u5feb\u5730\u8fbe\u5230\u76f8\u540c\u7684\u6027\u80fd\u3002<\/p>\n\n\n\n

              \"\"<\/figure>\n\n\n\n

              Token\u7ea7\u7b56\u7565\u68af\u5ea6\u635f\u5931<\/h3>\n\n\n\n

              \u539f\u59cb\u7684 GRPO \u7b97\u6cd5\u91c7\u7528\u6837\u672c\u7ea7\u635f\u5931\u8ba1\u7b97\uff0c\u8fd9\u6d89\u53ca\u9996\u5148\u5728\u6bcf\u4e2a\u6837\u672c\u5185\u6309 Token \u5e73\u5747\u635f\u5931\uff0c\u4e5f\u5c31\u662f\uff0c\u6bcf\u4e2a\u6837\u672c\u5bf9\u603bLoss\u662f\u7b49\u6743\u7684\u3002<\/p>\n\n\n\n

              \u968f\u540e\u6c47\u603b\u6837\u672c\u95f4\u7684\u635f\u5931\u3002\u5728\u8fd9\u79cd\u65b9\u6cd5\u4e2d\uff0c\u6bcf\u4e2a\u6837\u672c\u5728\u6700\u7ec8\u635f\u5931\u8ba1\u7b97\u4e2d\u88ab\u5206\u914d\u76f8\u540c\u7684\u6743\u91cd\u3002\u7136\u800c\uff0c\u8fd9\u79cd\u635f\u5931\u964d\u4f4e\u65b9\u6cd5\u5728\u957f\u601d\u7ef4\u94fe RL \u573a\u666f\u4e2d\u5f15\u5165\u4e86\u51e0\u4e2a\u6311\u6218\u3002<\/p>\n\n\n\n

              \u7531\u4e8e\u6240\u6709\u6837\u672c\u5728\u635f\u5931\u8ba1\u7b97\u4e2d\u88ab\u8d4b\u4e88\u76f8\u540c\u7684\u6743\u91cd\uff0c\u8f83\u957f\u54cd\u5e94\u4e2d\u7684 Token \u5bf9\u6574\u4f53\u635f\u5931\u7684\u8d21\u732e\u53ef\u80fd\u4e0d\u6210\u6bd4\u4f8b\u5730\u4f4e\uff0c\u8fd9\u53ef\u80fd\u5bfc\u81f4\u4e24\u79cd\u4e0d\u5229\u5f71\u54cd\u3002<\/p>\n\n\n\n

                \n
              • \u5bf9\u4e8e\u9ad8\u8d28\u91cf\u7684\u957f\u6837\u672c\uff0c\u8fd9\u79cd\u6548\u5e94\u53ef\u80fd\u4f1a\u59a8\u788d\u6a21\u578b\u5b66\u4e60\u5176\u4e2d\u4e0e\u63a8\u7406\u76f8\u5173\u7684\u6a21\u5f0f\u3002<\/li>\n\n\n\n
              • \u5bf9\u4e8e\u4f4e\u8d28\u91cf\u6837\u672c\uff08\u8fc7\u957f\u7684\u6837\u672c\u901a\u5e38\u4f1a\u8868\u73b0\u51fa\u4f4e\u8d28\u91cf\u7684\u6a21\u5f0f\uff0c\u5982\u65e0\u610f\u4e49\u7684\u8bcd\u8bed\u548c\u91cd\u590d\u7684\u8bcd\u6c47\uff09\u7531\u4e8e\u6837\u672c\u7ea7\u635f\u5931\u8ba1\u7b97\u65e0\u6cd5\u6709\u6548\u5730\u60e9\u7f5a\u957f\u6837\u672c\u4e2d\u7684\u8fd9\u4e9b\u4e0d\u826f\u6a21\u5f0f\uff0c\u5bfc\u81f4\u4e86\u71b5\u548c\u54cd\u5e94\u957f\u5ea6\u7684\u975e\u6b63\u5e38\u589e\u52a0\u3002<\/li>\n<\/ul>\n\n\n\n

                \u7b80\u5355\u8bf4\uff0c\u5c31\u662f\u8ba9token\u5728\u4e0d\u540c\u957f\u5ea6\u7684response\u91cc\u80fd\u591f\u5bf9loss\u4e2d\u6709\u76f8\u540c\u7684\u8d21\u732e\u3002<\/p>\n\n\n\n

                \u56e0\u6b64\uff0c\u5728loss\u8ba1\u7b97\u65f6\uff0c\u53bb\u6389\u4e86sample\u7684\u5f71\u54cd\uff0c\u76f4\u63a5\u5bf9loss\u6c42\u5747\u503c\uff0c\u4ece\u800c\u95f4\u63a5\u7684\u8fbe\u5230\u4e86token\u7ea7\u522bloss\u8ba1\u7b97\u7684\u8981\u6c42\u3002<\/p>\n\n\n\n

                if use_token_level_loss:\n    pg_loss = verl_F.masked_mean(pg_losses, eos_mask)\nelse:\n    pg_loss = torch.sum(pg_losses * eos_mask, dim=1) \/ seq_len_per_sample\n    pg_loss = torch.mean(pg_loss)<\/code><\/pre>\n\n\n\n
                \u6700\u7ec8\u4e0d\u7ba1\u662facc\u8fd8\u662f\u957f\u5ea6\u53d8\u5316\uff0c\u90fd\u53d8\u5f97\u66f4\u7a33\u5b9a\u4e86\u3002<\/p>\n\n\n\n
                \"\"<\/figure>\n\n\n\n
                \"\"<\/figure>\n\n\n\n
                \u6574\u4f53\u770b\uff0cDAPO\u66f2\u7ebf\u4e0a\u66f4\u52a0\u7a33\u5b9a\u3002<\/p>\n\n\n\n
                \u6ea2\u51fa\u5956\u52b1\u5851\u9020<\/h3>\n\n\n\n
                \u5728loss\u4e2d\u5c4f\u853d\u5bf9\u8d85\u957f\u6587\u672c\u7684\u60e9\u7f5a\u3002\u5e38\u89c4\u7684\u505a\u6cd5\u662f\u5bf9\u8d85\u957f\u7684\u6587\u672c\u76f4\u63a5\u7ed9\u4e00\u4e2a\u8d1f\u5206Reward\uff0c\u4f46\u662f\u8fd9\u6837\u53ef\u80fd\u4f1a\u5b58\u5728\u6587\u672c\u63a8\u7406\u662f\u9ad8\u7684\uff0c\u53ea\u4e0d\u8fc7\u7531\u4e8e\u5404\u79cd\u539f\u56e0\uff08\u4f8b\u5982\u96be\u9898\uff09\u8d85\u957f\u4e86\uff0c\u4f46\u662f\u8fd9\u65f6\u5019\u7ed9\u4e00\u4e2a\u8d1f\u5411Reward\u53ef\u80fd\u4f1a\u5bf9\u4f18\u5316\u65b9\u5411\u6709\u4e00\u5b9a\u5f71\u54cd\u3002\u56e0\u6b64\u672c\u6587\u8fd8\u5bf9\u8d85\u957f\u6587\u672c\u5728loss\u7ea7\u522b\u8fdb\u884c\u4e86mask\uff0c\u9632\u6b62\u4ed6\u4eec\u5f71\u54cd\u4f18\u5316\u65b9\u5411\u3002<\/p>\n\n\n\n
                \u540c\u65f6\u7ed9\u51fa\u8f6f\u60e9\u7f5a\u3002\u5f53\u8f93\u51fa\u957f\u5ea6\u63a5\u8fd1\u6700\u5927\u957f\u5ea6\u65f6\uff0c\u9010\u6b65\u7ed9\u4e88\u957f\u5ea6\u60e9\u7f5a\uff0c\u9632\u6b62\u8f93\u51fa\u8fc7\u957f\u3002<\/p>\n\n\n\n
                \"\"<\/figure>\n\n\n\n
                \"\"<\/figure>\n\n\n\n
                \u6548\u679c<\/h2>\n\n\n\n
                \u6700\u7ec8\u6548\u679c\uff0c32B\u6a21\u578b\u6210\u529f\u8fbe\u5230\u4e8650\u5206\u7684AIME\u6548\u679c\u3002<\/p>\n\n\n\n
                \"\"<\/figure>\n","protected":false},"excerpt":{"rendered":"
                \u524d\u8a00 \u867d\u7136DeepSeek R1\u4e3a\u5927\u5bb6\u63d0\u4f9b\u4e86\u4e00\u4e2a\u4f7f\u7528\u5f3a\u5316\u5b66\u4e60\u6765\u5b8c\u6210\u63a8\u7406\u80fd\u529b\u7684\u8def\u7ebf\uff0c\u4f46\u662f\u6700\u5173\u952e\u7684\u6280\u672f\u548c […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_mi_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[48],"tags":[],"views":4452,"_links":{"self":[{"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/posts\/4544"}],"collection":[{"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/comments?post=4544"}],"version-history":[{"count":2,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/posts\/4544\/revisions"}],"predecessor-version":[{"id":4556,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/posts\/4544\/revisions\/4556"}],"wp:attachment":[{"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/media?parent=4544"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/categories?post=4544"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/tags?post=4544"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}