RosettaCommons / RosettaCommons/RFdiffusion
Fine tuning by using my own dataset
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- Dominant language
- Python
- Stars
- 3.1k
- Forks
- 644
- PR merge metrics
- No merged PRs in 30d
Description
Hello, I am a novice, now want to use their own data sets, fine-tuning, but did not find any training related content, can you tell me how to do? I would be grateful if you could provide me with relevant information.
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No file, test, or entry point is named. Start by locating the repository's training or fine-tuning entry points and existing documentation, then document whether and how a user can fine-tune RFdiffusion with a custom dataset, including the expected workflow and completion criteria.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100