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AGI-Edgerunners / LLM-Adapters

Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"
https://arxiv.org/abs/2304.01933
Apache License 2.0
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ValueError: The version of PEFT you are using is not compatible, please use a version that is greater than 0.5.0 #47

Open nbasyl opened 7 months ago

nbasyl commented 7 months ago

Hi,

First of all, thanks for the great work. I came across an error while attempting to replicate the LoRA result. The error message I received is "ValueError: The version of PEFT you are using is not compatible. Please use a version greater than 0.5.0." This error originates from the finetune.py file, specifically from the Trainer.train() function. However, I'm unable to resolve this issue because the PEFT package installed from the local folder is of version 0.3.0.

Can you assist me in resolving this error? Below is the full error message:

File "finetune.py", line 361, in
Traceback (most recent call last):
File "finetune.py", line 361, in
fire.Fire(train)
File "/home/sliuau/miniconda3/envs/llm-peft/lib/python3.8/site-packages/fire/core.py", line 141, in Fire
fire.Fire(train)
File "/home/sliuau/miniconda3/envs/llm-peft/lib/python3.8/site-packages/fire/core.py", line 141, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "/home/sliuau/miniconda3/envs/llm-peft/lib/python3.8/site-packages/fire/core.py", line 475, in _Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "/home/sliuau/miniconda3/envs/llm-peft/lib/python3.8/site-packages/fire/core.py", line 475, in _Fire
component, remaining_args = _CallAndUpdateTrace(
File "/home/sliuau/miniconda3/envs/llm-peft/lib/python3.8/site-packages/fire/core.py", line 691, in _CallAndUpdateTrace
component, remaining_args = _CallAndUpdateTrace(
File "/home/sliuau/miniconda3/envs/llm-peft/lib/python3.8/site-packages/fire/core.py", line 691, in _CallAndUpdateTrace
component = fn(*varargs, *kwargs)
File "finetune.py", line 328, in train
component = fn(varargs, **kwargs)
File "finetune.py", line 328, in train
trainer.train(resume_from_checkpoint=resume_from_checkpoint)
File "/home/sliuau/miniconda3/envs/llm-peft/lib/python3.8/site-packages/transformers/trainer.py", line 1555, in train
trainer.train(resume_from_checkpoint=resume_from_checkpoint)
File "/home/sliuau/miniconda3/envs/llm-peft/lib/python3.8/site-packages/transformers/trainer.py", line 1555, in train
return inner_training_loop(
File "/home/sliuau/miniconda3/envs/llm-peft/lib/python3.8/site-packages/transformers/trainer.py", line 1965, in _inner_training_loop
return inner_training_loop(
File "/home/sliuau/miniconda3/envs/llm-peft/lib/python3.8/site-packages/transformers/trainer.py", line 1965, in _inner_training_loop
self._load_best_model()
File "/home/sliuau/miniconda3/envs/llm-peft/lib/python3.8/site-packages/transformers/trainer.py", line 2184, in _load_best_model
self._load_best_model()
File "/home/sliuau/miniconda3/envs/llm-peft/lib/python3.8/site-packages/transformers/trainer.py", line 2184, in _load_best_model
model.load_adapter(self.state.best_model_checkpoint, model.active_adapter)
File "/home/sliuau/miniconda3/envs/llm-peft/lib/python3.8/site-packages/transformers/integrations/peft.py", line 137, in load_adapter
check_peft_version(min_version=MIN_PEFT_VERSION)
model.load_adapter(self.state.best_model_checkpoint, model.active_adapter)
File "/home/sliuau/miniconda3/envs/llm-peft/lib/python3.8/site-packages/transformers/utils/peft_utils.py", line 120, in check_peft_version
File "/home/sliuau/miniconda3/envs/llm-peft/lib/python3.8/site-packages/transformers/integrations/peft.py", line 137, in load_adapter
raise ValueError(
check_peft_version(min_version=MIN_PEFT_VERSION)
File "/home/sliuau/miniconda3/envs/llm-peft/lib/python3.8/site-packages/transformers/utils/peft_utils.py", line 120, in check_peft_version
ValueError: The version of PEFT you are using is not compatible, please use a version that is greater than 0.5.0
raise ValueError(
ValueError: The version of PEFT you are using is not compatible, please use a version that is greater than 0.5.0

Thanks, Sean

nbasyl commented 7 months ago

Hi I think this may be due to the Transformers package version being too new to the local peft folder, you can check here: https://github.com/huggingface/transformers/blob/2fc33ebead50383f7707b17f0e2a178d86347d10/src/transformers/integrations/peft.py#L33

HZQ950419 commented 7 months ago

Hi,

Please try to uninstall PEFT to run the code. Our code base is extended from PEFT 0.3.0 but doesn't rely on the PEFT package.

nbasyl commented 7 months ago

Hi Thanks for the quick reply, but I am a bit confused, as if PEFT is uninstalled then what would happen when the transformers call peft modules? Also, Is it possible to have your Wechat so we can communicate more efficiently.

HZQ950419 commented 7 months ago

Hi,

The path of our extended PEFT package is indicated in finetune.py Line 16.

Please send me an email to add me on WeChat, zhiqiang_hu@mymail.sutd.edu.sg

tk1363704 commented 6 months ago

Hi I think this may be due to the Transformers package version being too new to the local peft folder, you can check here: https://github.com/huggingface/transformers/blob/2fc33ebead50383f7707b17f0e2a178d86347d10/src/transformers/integrations/peft.py#L33

Then what version of the transformers is compatible with your 0.3.0 PEFT?

HZQ950419 commented 6 months ago

Hi I think this may be due to the Transformers package version being too new to the local peft folder, you can check here: https://github.com/huggingface/transformers/blob/2fc33ebead50383f7707b17f0e2a178d86347d10/src/transformers/integrations/peft.py#L33

Then what version of the transformers is compatible with your 0.3.0 PEFT?

Hi, you don't have to install PEFT, just uninstall PEFT and run our code should be good.