yhyu13
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README.md
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@@ -6,4 +6,38 @@ license_link: https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE
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This is the merged model for LoRA https://huggingface.co/Yhyu13/phi-2-sft-dpo-gpt4_en-ep1-lora
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This model is a dpo improvement to this base model https://huggingface.co/Yhyu13/phi-2-sft-alpaca_gpt4_en-ep1 who achieve better than text-davinci-003 on AlpcaEval judged by ChatGPT.
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This is the merged model for LoRA https://huggingface.co/Yhyu13/phi-2-sft-dpo-gpt4_en-ep1-lora
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This model is a dpo improvement to this base model https://huggingface.co/Yhyu13/phi-2-sft-alpaca_gpt4_en-ep1 who achieve better than text-davinci-003 on AlpcaEval judged by ChatGPT.
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# AlpacaEval
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Quote from this discussion
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https://huggingface.co/microsoft/phi-2/discussions/38
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Since phi2 requires remote code which HF open llm leaderboard would not accept at this moment,
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I ran phi2 and my dpo to the AlpcaEval benchmark
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https://tatsu-lab.github.io/alpaca_eval/
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Here is result evaluated by chatpgpt https://github.com/tatsu-lab/alpaca_eval/pull/183
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```
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win_rate standard_error n_total avg_length
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gpt4 73.79 1.54 805 1365
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claude 70.37 1.60 805 1082
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chatgpt 66.09 1.66 805 811
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wizardlm-13b 65.16 1.67 805 985
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vicuna-13b 64.10 1.69 805 1037
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guanaco-65b 62.36 1.71 805 1249
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oasst-rlhf-llama-33b 62.05 1.71 805 1079
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alpaca-farm-ppo-human 60.25 1.72 805 803
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falcon-40b-instruct 56.52 1.74 805 662
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phi-2-alpaca-gpt4-dpo(new)55.60 1.75 804 4532
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phi-2-alpaca-gpt4(new) 54.23 1.75 804 1138
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text_davinci_003 50.00 0.00 805 307
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alpaca-7b 45.22 1.74 805 396
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phi-2(new) 43.79 1.74 805 924
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text_davinci_001 28.07 1.56 805 296
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```
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phi-2-alpaca-gpt4-dpo is only slightly better than my previous sft phi-2-alpaca-gpt4, when evaluted by chatgpt, but the dpo tuned model outputs significantly longer result!
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