YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/model-cards#model-card-metadata)
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
-------------------------------------------
llama-3-8b-sft | score: 5.6
llama-3-8b-rlhf-100k | score: 20.5
Training logs
- Downloads last month
- 567
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.