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--- |
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license: other |
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license_name: microsoft-research-license |
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license_link: https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE |
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--- |
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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! |
