The effect of lora finetune with difference target_modules
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Description
Hello, I using default target_modules `q_proj, v_proj` the result looks good.
Will it more good if I using more target_modules trainable? such as :
```
"q_proj",
"v_proj",
"down_proj",
"gate_proj",
"up_proj",
```
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Research direction
No file, test, or entry point is named. Start by locating the LoRA fine-tuning configuration and the handling of target_modules, then compare the default q_proj/v_proj setup with the proposed down_proj, gate_proj, and up_proj targets. Done would require a reproducible evaluation showing whether the expanded target set improves results.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100