How to?

OPD

Jan 1, 2025
技术学习models
1 Minutes
79 Words

思路:让 teacher 在 student 真实 rollout 的轨迹上去纠正分布.

普通蒸馏:

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for traj, y_teacher in offline_dataset: # x: (b, L)int. y_teacher (b, L)int.
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loss = KL(student(traj), teacher(traj)) # 一次性输出 len 个 dist. 需要一些 mask.

OPD (on-policy distillation):

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for prompt in prompts: # x: (b, prompt_len)
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traj = student.generate(prompt) # (b, L)
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loss = KL(student(cat(prompt, traj)), teacher(cat(prompt, traj))) # 需要一些 mask.
Article title:OPD
Article author:Julyfun
Release time:Jan 1, 2025
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