Comments (3)
It seems it is just Prefix Tuning.
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If they are the same, the work we can do is, to add an example jupyternotebook of prefix tuning on vit in the examples
folder. And this should replicates the experiments results in the VPT paper.
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This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.
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Related Issues (20)
- TypeError: unsupported operand type(s) for *: 'Parameter' and 'NoneType' HOT 1
- Add support for OpenELM LoRA fine-tuning HOT 2
- Initialization for LoRA weights A and B initialized HOT 1
- Trainer.train() giving me Key Error: [random number] HOT 3
- Delete certain layers from PEFT model. HOT 6
- DoRA training in distributed setting
- Reproducibility when using a model with batch norm
- FSDP Dora/QDora Broken HOT 4
- CUDA kernels from PEFT v0.11.0 breaks C++ compilation HOT 4
- Adapter Merge for Idefics2 HOT 2
- `AdaLoRA` is incompatible with `gradient checkpointing` when using `torchrun` HOT 2
- LoRA adaptation shape mismatch HOT 7
- cannot import name 'get_peft_config' from 'peft' (unknown location) HOT 1
- how to fine tune LoRA HQQ? HOT 1
- How to finetune embeddings and LM head as a single layer when they are tied? HOT 1
- Help with : LoRA issue in distributed setting HOT 2
- ImportError with pkg_resources and packaging in PEFT when using setuptools >= 70.0.0 HOT 2
- High loss when init with `AdaLora` HOT 3
- LoRA Adapter from local model are leading to error HOT 1
- AdaLora: rank remains constant (to init_r value) across training HOT 3
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