microsoft / microsoft/OmniParser
How to Fine-Tune
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- Dominant language
- Jupyter Notebook
- Stars
- 25.4k
- Forks
- 2.2k
- PR merge metrics
- No merged PRs in 30d
Description
I want to use the page data of our own APP for further fine-tuning training based on OmniParser to improve the accuracy of recognition, but I don't know how to fine-tune, do you have any instructions?
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. First identify the existing OmniParser training or fine-tuning entry point, then document how to prepare page data from a user's own app and run fine-tuning; done means a newcomer can follow the instructions end to end.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100