Comments (1)
edwardjhu
commented on May 22, 2024
Im not sure if I should replace all the layers I can with Lora layes. Could you guide me on how I can do it.
It's a good idea to start with replacing all layers so it's close to fine-tuning, which works, I assume. Once it's working, you can empirically determine what layers can be kept as they are. That's roughly how we decided what layers to adapt.
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Related Issues (20)
- Cannot use lora for a pre-trained model HOT 2
- Some questions about LoRA for pre-trained model
- Question about reproducing RoBERTa base Fine-tune HOT 1
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- Not able to reproduce the scores using provided checkpoint on NLG tasks HOT 4
- Is the output the entire model？ HOT 3
- LoRA adapter checkpoints not downloadable HOT 6
- The description and the behavior don't match HOT 2
- Question about seed numbers.
- Question about the test set of the GLUE benchmark HOT 1
- [Minor] Possible typos in weight initialization
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