bytedance / bytedance/Protenix

How to do fine tuning with distilled data

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Dominant language
Python
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Description

I would like to do fine tuning with distilled data.
The finetune_demo.sh does not seem to show how to do this.
I already have .cif files of distillation data.
I'm a newbie, so sorry if I'm looking in the wrong place.

Contributor guide

Open the contributing guide

Research direction

Start with finetune_demo.sh and trace how the fine-tuning entry point handles input data. Verify whether the existing workflow accepts the reported .cif distillation files, then document the required steps or record what support is missing; done means a newcomer can follow the documented workflow.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, shell
Domain
documentation, machine-learning
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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