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README.md
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---
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license: apache-2.0
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datasets:
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- Anthropic/hh-rlhf
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language:
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- en
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- rlhf
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- alignment
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- simulation
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- computational social science
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---
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# Model Card for So(cially)-Good LM
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![model image](https://agwarbliu.s3.amazonaws.com/logo.png)
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![model image](https://agwarbliu.s3.amazonaws.com/model_select_sft.png)
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**Efficient, Effective, and Stable alternative of RLHF!**
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**Instead of training an additional reward model that is likely to be gamed, we directly train the model on the social games!** 🕹️ 🎲 🎮
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Full details on simulation and training can be found [here](https://github.com/agi-templar/Stable-Alignment).
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# Training Procedure
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This is the second step of Stable Alignment project, which is a supervised fine-tuned model on [Anthropic HH-RLHF dataset](https://huggingface.co/datasets/Anthropic/hh-rlhf) (only on the 'accepted' options).
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We use the [Alpaca fine-tuning script](https://github.com/tatsu-lab/stanford_alpaca) to train this model.
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# Bias, Risks, and Limitations
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Although this project aims to better align current LMs with social norms, inappropriate content and inherent biases in the training data will still impair the alignment of the model.
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The model should not be used directly in any application, without a prior assessment of safety and fairness concerns specific to the application.
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