license, base_model, tags, metrics, model-index

license	base_model	tags	metrics	model-index
apache-2.0	Qwen/Qwen3-4B-Thinking-2507	aster reinforcement-learning sft reproduction	accuracy	name results ASTER_4B task dataset metrics type name text-generation Text Generation name type AIME 2025 aime2025 name type value Accuracy accuracy 87.7 task dataset metrics type name text-generation Text Generation name type HMMT 2025 Feb hmmt_2025_feb name type value Accuracy accuracy 77.1

ASTER_4B (Independent Reproduction)

Model Description

ASTER_4B is an independent reproduction of the ASTER framework. This model is fine-tuned based on Qwen/Qwen3-4B-Thinking-2507, strictly adhering to the experimental details and hyperparameter settings described in the original ASTER paper.

⚠️ Note: This is a reproduction project. We aim to verify the effectiveness of the ASTER method by strictly following the official paper's details.

Training Data (SFT)

The model was trained using our reproduced dataset: Aster_SFT4K.

This dataset serves as a tiny yet effective SFT set, constructed to replicate the exact data distribution and formatting used in the original ASTER experiments. You can find the dataset details here:

• Dataset Repo: ASTER_SFT4K

Evaluation Results

We evaluated the model's performance on challenging mathematical benchmarks. The evaluation was conducted under the exact generation configuration specified in the ASTER paper to ensure fair comparison.

Generation Config:

• Temperature: 1.0
• Top_p: 1.0
• Max_context_length: 96256

Benchmark	Score (%)
AIME 2025	87.7
HMMT 2025 (Feb)	77.1