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wckwan/arora-qwen3.5-9b-a0.1-seven-task-artifacts

arora-qwen3.5-9b-a0.1-seven-task Qwen/Qwen3.5-9B trained with arora_rloo (Arora & Zanette length-penalised RLOO, alpha = 0.1) on the seven-task setting: 100 steps, 32 prompts x 8 rollouts per step, lr 2e-6, KL 1e-3, 32K rollout cap, verl v0.9.1 (FSDP2 + vLLM). Training data: 512 examples (seed 0) from the official training splits; system prompt "Solve the user's task and give the final answer directly."; reward = task correctness of the text after </think>. Layout… See the full description on the dataset page: https://huggingface.co/datasets/wckwan/arora-qwen3.5-9b-a0.1-seven-task-artifacts.

Author / organizationwckwan
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Created21 September 2026
Last updated at source22 September 2026
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