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:

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
63
Safetensors
Model size
8.03B params
Tensor type
BF16
Β·
Inference Examples
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.

Model tree for OpenRLHF/Llama-3-8b-rlhf-100k

Quantizations
2 models

Spaces using OpenRLHF/Llama-3-8b-rlhf-100k 6