Training
- Initialization:
VRPRM-sft
- Data: 40K train / 2K validation
- Rollouts: 16 per prompt, temperature 0.8, top-p 0.95
- Reward:
0.92 * step + 0.05 * format + 0.03 * think
- Optimization: lr 1e-6, KL coefficient 0.2, 600 steps
- Public artifact: end-of-run merged checkpoint
Evaluation
VisualProcessBench official no-reference protocol:
Table with columns: Model, Overall step macro-F1| Model | Overall step macro-F1 |
|---|
| VRPRM-rl | 69.18 |
The public artifact is the end-of-run checkpoint. The run's highest RL
validation reward occurred earlier; comparisons should use the exact released
artifact and protocol documented in the code repository.
Usage
Use the same global-thinking stepwise protocol as VRPRM-sft. The model is
evaluated with benchmarks/visualprocessbench/eval_vpb_global_think.py.
Limitations
This research model is not a general assistant and is not suitable for
high-stakes automated grading without human oversight.