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README.md
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@@ -4,7 +4,7 @@ This model is the RLHF version of `HuggingFaceH4/mistral-7b-sft-beta` without an
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We perform GSHF algorithm on SFT baseline. The external signals include (1) Reward model; (2) AI-generated Prompts.
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**We obtain 35.95% win-rate on Alpaca Eval v2.** The win-rate of the base model is only 4.63%.
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We have demonstrated the significant potential of the iterative RLHF algorithm for LLMs to deliver appropriate and well-structured responses,
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even without any external responses.
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We perform GSHF algorithm on SFT baseline. The external signals include (1) Reward model; (2) AI-generated Prompts.
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**We obtain 35.95% win-rate (34.79% LC win-rate) on Alpaca Eval v2.** The win-rate of the base model is only 4.63%.
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We have demonstrated the significant potential of the iterative RLHF algorithm for LLMs to deliver appropriate and well-structured responses,
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even without any external responses.
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