microsoft / microsoft/TransformerCompression
How to evaluate the sliced model
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- Dominant language
- Python
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Description
How to evaluate the sliced model, I use the command in the document when changing the parameter slicegpt to measure the accuracy of the baseline model
Contributor guide
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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
Start with the document's evaluation instructions and the command used with the slicegpt parameter. Determine how the sliced model should be evaluated against the baseline model, then update the relevant documentation so the command, comparison procedure, and expected result are clear.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100