Llama-3 8B RLHF checkpoint trained by OpenRLHF
Using the models and datasets:
- Base SFT model: https://huggingface.co/OpenLLMAI/Llama-3-8b-sft-mixture
- Reward model: https://huggingface.co/OpenLLMAI/Llama-3-8b-rm-mixture
- Prompt dataset: https://huggingface.co/datasets/OpenLLMAI/prompt-collection-v0.1
Training Hyperparameters
Actor Learning Rate: 5e-7
Critic Learning Rate: 9e-6
Learning Rate Scheduler: Cosine with 0.03 Warmup
PPO epoch: 1
Training Batch Size: 128
Experience Buffer Size: 1024
Reward Normalization: True
Max Prompt Length: 2048
Max Response Length: 2048
Max Samples: 100k (To save GPU resources)
Number of Samples per Prompt: 1
Evaluation
Chat-Arena-Hard
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llama-3-8b-sft | score: 5.6
llama-3-8b-rlhf-100k | score: 20.5
Training logs