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- GPT2 large model trained on Anthropic/hh-rlhf harmless dataset. It is specifically used for harmful response detection or RLHF. Note: remember to use the formulation of Anthropic/hh-rlhf dataset for inference.
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- It achieves an accuracy of 0.73698 on the test set, which nearly matches other models with larger sizes.
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  ## Usage:
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  ```
 
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+ GPT2 large model trained on Anthropic/hh-rlhf harmless dataset. It is specifically used for harmful response detection or RLHF. Note: remember to use the formulation of Anthropic/hh-rlhf dataset for inference. It achieves an accuracy of 0.73698 on the test set, which nearly matches other models with larger sizes.
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+ Note: 1. Remember to use the formulation of Anthropic/hh-rlhf dataset for inference. 2. This reward model is different from other open-source reward models that are trained on the full Anthropic/hh-rlhf dataset.
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  ## Usage:
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  ```