license: apache-2.0
language:
- zh
library_name: transformers
pipeline_tag: text-generation
base_model: Qwen/Qwen3-4B-Instruct-2507
datasets:
- EurekaTian/RARE
tags:
- reinforcement-learning
- grpo
- adaptive-rubric
- script-generation
RARE-Task-Level
This repository contains the final task-level adaptive rubric checkpoints from RARE: Reinforcement Learning with Adaptive Rubric Evolution for Open-Ended Generation. Within each production style, all queries share a six-criterion rubric that is periodically revised from cross-query on-policy evidence while preserving its IDs, order, score maxima, and reward aggregation.
| Subfolder | Production style | Final RL step |
|---|---|---|
2d_animation |
2D animation | 132 |
3d_stopmotion |
3D and stop-motion animation | 108 |
live_action |
Live action | 94 |
The held-out scores are 76.27, 75.56, and 69.84 for the three styles, respectively, for an equally weighted average of 73.89. This is a 1.08-point gain over the matched Task-Static baseline.
Each subfolder is an independent inference-only full checkpoint derived from
Qwen/Qwen3-4B-Instruct-2507; optimizer and trainer state are not included.
The exact launcher and settings are documented in the
RARE repository. Use the
corresponding configuration from EurekaTian/RARE
for the released system instruction and query format. This card does not add a
separate convenience inference command that was not part of the released
pipeline. The weights are licensed under Apache-2.0;
the dataset is separately licensed under CC BY 4.0. The canonical paper citation
will be added after publication metadata is finalized.