The brand new script to have education the fresh acquired Qwen2.5-VL-7B-SFT model having T-GRPO otherwise GRPO is just as follows I very first perform watched okay-tuning to the Movies-R1-COT-165k dataset for example epoch to discover the Qwen2.5-VL-7B-SFT design. Our very own code works with next variation, delight down load during the right here I suppose it is because the newest model 1st discards its prior, possibly sandwich-optimum reason design.
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The precision award showcases an usually up trend, demonstrating that the model constantly advances its ability to produce best responses under RL. Probably one of the most fascinating negative effects of support discovering in the Video clips-R1 is the emergence away from notice-reflection reason behaviors, known as “aha minutes”. After implementing earliest laws-dependent selection to get rid of lower-high quality or inconsistent outputs, we obtain a leading-high quality Crib dataset, Video-R1-Crib 165k. I assemble investigation out of multiple societal datasets and cautiously sample and you will equilibrium the brand new proportion of any subset.