Training
- Base model:
Qwen/Qwen3-VL-8B-Thinking
- Data: 1,378 multi-turn conversations / 5,592 confident step labels
- Loss weights: 0.5 for global thinking, 2.0 for step judgments
- Tuning: LoRA r=16, alpha=32, lr=1e-4
- Training: 3 epochs / 513 steps, followed by LoRA merge
Evaluation
VisualProcessBench official no-reference protocol:
Table with columns: Model, Overall step macro-F1| Model | Overall step macro-F1 |
|---|
| VRPRM-sft | 66.15 |
Usage
Use the two-stage global-thinking protocol from the code repository. First ask
for one <think>...</think> block, then query each step with guided choice
0/1 while feeding previous judgments. The evaluator is
benchmarks/visualprocessbench/eval_vpb_global_think.py.
Limitations
This model is intended for research on process reward modeling and multimodal
reasoning. It is not a general assistant and should not be used for automated
grading of high-stakes work without human review.