对抗训练提升模型鲁棒性，方法有很多，我常用的是对抗权重扰动（awp, adversarial weight perturbation），实现可以参考 这篇文章。 6. 这的确是个有用的trick 有篇论文叫《torch.manual_seed (3407) is all you need》 你可能觉得挺扯，我也觉得 但我试了把原来的随机种子换成3407，模型的收敛速度的确更快. 答案是：没有treat or trick这种说法是错误的，只有trick or treat。 trick or treat 读音：英 [trik ɔ:
Every single year, every single Halloween, the choice that determines
5.overlong reward shaping 在原始的奖励函数上增加一个关于长度的奖励，从而避免过长后截断导致模型无法得到奖励的情形。 总结来说，dapo其实是对grpo中存在的一些问题作出改进.
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