In practice, one would like to reuse preference datasets publicly available, rather than generating samples and gathering human preferences. Since the preference datasets are sampled using πSFTπSFT, we initialize πref=πSFTπref=πSFT whenever available. However, when πSFTπSFT is not available...
datasets. Additionally, binary datasets are easier to collect compared to pairwise preference data, making it feasible to use larger-scale binary feedback datasets for alignment. However, the noise in binary feedback may be more pronounced than in preference datasets, raising the intriguing question...
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SteerLM uses examples extracted from open-source datasets, including the OpenAssistant dataset, the Helpful and Harmless – Reinforcement Learning from Human Feedback dataset, and the Model Self-Identification Dataset. Other researchers and organizations can use the source code,training recipe, and data...
限制:需要相同python版本和datasets版本,并且datasets加载时候还是会尝试在线加载数据集,很容易造成数据集损坏,需要添加环境变量HF_DATASETS_OFFLINE=1 和TRANSFORMERS_OFFLINE=1阻止其在线加载。 推荐指数:2星 方法3 前提:本机能上网就行。有外网的就去huggingface下载,没有的就去第三方镜像站,例如hf-mirror.com或者ai...
Clean-Offline-RLHF Project Website·Paper·Platform·Datasets·Clean Offline RLHF This is the official PyTorch implementation of the paper "Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback". Clean-Offline-RLHF is an Offline Reinforcement Learning...
If you don't want to use--apply_chat_template, you can use--input_templateinstead, or preprocess the datasets offline in advance. OpenRLHF also support mixing multiple datasets using--prompt_data_probs 0.1,0.4,0.5(PPO) or--dataset_probs 0.1,0.4,0.5. ...
Describe the bug After a user submits a request on https://www.virtualstaging.art/, I'm logging their image to a HuggingFace dataset with: `HF_API_TOKEN = os.environ.get("HF_API_TOKEN") hf_writer = gr.HuggingFaceDatasetSaver(HF_API_TOKEN...
Title: Improving Language Models with Advantage-based Offline Policy Gradients 论文简介: 本文提出了一种使用基于离线策略梯度的优势方法来改进语言模型的训练算法。该算法可以在现有的众包和互联网数据上优化语言模型的效用,而无需额外的人工标注数据或模型探索数据。 Authors: Ashutosh Baheti, Ximing Lu, Faeze Bra...
A Long Way to Go: Investigating Length Correlations in RLHF https://arxiv.org/abs/2310.03716 Tags: empirical, reward model, evaluation • use open source datasets • explore interventions during both RL and reward model learning to see if we can achieve the same downstream improvements as ...