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---
license: llama3.2
base_model: meta-llama/Llama-3.2-3B-Instruct
tags:
- trl
- reward-trainer
- generated_from_trainer
model-index:
- name: Llama3.2-3B-MP-RM
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Llama3.2-3B-MP-RM
This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the [iqwiki-kor/MP-86k](https://huggingface.co/datasets/iqwiki-kor/MP-86k) dataset.
## RewardBench Evaluation
| Model | Chat | Chat-Hard | Safety | Reasoning | Avg. |
|-----------------------------------------------------------------------------------------------------|---------:|-------:|------:|--------:|--------:|
| [iqwiki-kor/Llama3.2-3B-MP-RM](https://huggingface.co/iqwiki-kor/Llama3.2-3B-MP-RM/) |92.5| 81.8| 90.2| 95.5| 90.0|
| [RLHFlow/ArmoRM-Llama3-8B-v0.1](https://huggingface.co/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
|