This model has been optimized using DPO to align its responses with preferred outputs, focusing on improving reasoning (Chain-of-Thought) and structured response quality based on the provided preference dataset.

Training Configuration

Base model: Qwen/Qwen3-4B-Instruct-2507
Method: DPO (Direct Preference Optimization)
Epochs: 1
Learning rate: 1e-07
Beta: 0.1
Max sequence length: 1024
LoRA Config: r=8, alpha=16 (merged into base)

arata1/dpo-qwen-cot-merged-0211

qwen3-4b-dpo-qwen-cot-merged0211

Training Objective

Training Configuration

arata1/
dpo-qwen-cot-merged-0211