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  ### SteamSHP - An Open-Source Preference Model
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- We have finetuned a 6 billion-parameter FLAN-T5-XL model called [SteamSHP](https://huggingface.co/stanfordnlp/SteamSHP-preference-model) on both the SHP dataset and the helpfulness data from Anthropic's HH-RLHF.
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- It achieves 72.8% across all domains (including 73.1% on the HH-RLHF alone).
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- We encourage you to use it for NLG evaluation, for building reward models for RLHF, or for another purpose you deem fit!
 
 
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  ## Biases and Limitations
 
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  ### SteamSHP - An Open-Source Preference Model
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+ We have finetuned two FLAN-T5 models on both the SHP dataset and the helpfulness data from Anthropic's HH-RLHF. They are
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+ - [SteamSHP-XL](https://huggingface.co/stanfordnlp/SteamSHP-flan-t5-xl), a 3B parameter model that achieves 72.8% on the test data.
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+ - [SteamSHP-Large](https://huggingface.co/stanfordnlp/SteamSHP-flan-t5-large), a 780M parameter model that achieves 72.0% on the test data.
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+ We encourage you to use SteamSHP for NLG evaluation, for building reward models for RLHF, or for another purpose you deem fit!
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  ## Biases and Limitations