Llama3.2-3B-MP-RM

This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on the iqwiki-kor/MP-86k dataset.

RewardBench Evaluation

Model	Chat	Chat-Hard	Safety	Reasoning	Avg.
iqwiki-kor/Llama3.2-3B-MP-RM	92.5	81.8	90.2	95.5	90.0
RLHFlow/ArmoRM-Llama3-8B-v0.1	96.9	76.8	90.5	97.3	90.4

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 2
• total_train_batch_size: 128
• total_eval_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1