This model is trained with Iterative DPO in OpenRLHF
Datasets and Hyperparameters
Reward Model:https://huggingface.co/OpenLLMAI/Llama-3-8b-rm-700k
SFT Model: https://huggingface.co/OpenLLMAI/Llama-3-8b-sft-mixture
Prompt Dataset: https://huggingface.co/datasets/OpenLLMAI/prompt-collection-v0.1
best_of_n: 2 (2 samples for each prompt)
Learning Rate: 5e-7
Beta: 0.1
Scheduler: Cosine with Warmup and MinLR
Rollout Batch Size: 20000
Training Batch Size: 256
Number of Iterations: 9