| license: mit | |
| tags: [tikz, latex, diagram-generation, reinforcement-learning, verl] | |
| # scale_base_blend_dr @ step 400 | |
| RL checkpoint. Base **TikZilla-3B (SFT)**, trained with **Dr.GRPO/DAPO** | |
| against the **DSV `blend_dr`** verifiable reward (0.7路DSV + 0.3路RenderGraph, both symbolic verifiers -- | |
| no learned reward model). | |
| * data: [`explcre/datikz_v4_rl_hybrid_428k`](https://huggingface.co/datasets/explcre/datikz_v4_rl_hybrid_428k) | |
| (427,553 rows, 46.6% Kimi-K3 descriptions / 53.4% DaTikZ-v4 `vlm_description`, tagged per row) | |
| * verifier: `explcre/DeTikZify` branch `dsv-verifier` @ `c348406` | |
| * config: batch 84, rollout n=8, max_response_length 2048, 1500 steps planned | |
| **Evaluate with the matching input distribution.** The same checkpoint scores differently on | |
| `vlmdesc984` vs `kimidesc984`, and differently again under different TeX/compile-gate versions -- | |
| always report the measurement config with the number. | |