modelscope / modelscope/easydistill

白盒蒸馏训练时如何选取top_k logits进行训练?

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Dominant language
Python
Stars
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Forks
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No merged PRs in 30d

Description

在easydistill宣传文案中看到白盒蒸馏支持使用 top_k logits进行蒸馏训练,请问现在这版代码是否支持该功能呢?感谢
@chywang

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No file, test, or entry point is identified in the issue. First inspect the repository's current white-box distillation implementation and documentation to determine whether top-k logits are supported; completion criteria would need to be agreed before implementation.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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