OptimalScale / OptimalScale/LMFlow
Can LMFlow benchmark evaluate my finetuned model on user-defined dataset？
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- Dominant language
- Python
- Stars
- 8.5k
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Description
After lora finetune, I get my insurance model, can I use run_benchmark.sh script to evaluate my insurance model on my customized dataset?
Contributor guide
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
Read run_benchmark.sh first and trace how it accepts a model and dataset. Determine whether a user-defined dataset is supported for a LoRA-finetuned model; done means the supported workflow and required dataset format are clear, or the missing capability is scoped.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning, testing-qa
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100