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I trained this model using the optimal off-policy hyperparameters from before, with learning rate of 3e-5, train batch size = rollout batch size = 256, GRPO clip loss, no mean normalization, and no standard deviation normalization. This had the best results for my shorter runs, so I decided to use this for the final model as well.