ENH: Warn when from_pretrained misses PEFT keys #2118
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After merging huggingface#2084, we now clean up the missing_keys when loading a PEFT adapter to remove all but the relevant keys (the fact that base model keys are missing is expected when loading a PEFT adapter). Since the presence of missing_keys now really means that something might have gone wrong during loading, we can now warn the user if they call PeftModel.from_pretrained. Note that load_adapter still does not warn, as here we return the load_result and users can already check, but for from_pretrained, they don't have that possibility.
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See #2115 for more context. Ping @yaswanth19 for awareness. |
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
SunMarc
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Thanks for adding this @BenjaminBossan ! This will be really helpful for users to confirm that everything has been loaded correctly. Left a question
BenjaminBossan
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Oct 10, 2024
When loading a LoRA adapter, so far, there was only a warning when there were unexpected keys in the checkpoint. Now, there is also a warning when there are missing keys. This change is consistent with huggingface/peft#2118 in PEFT and the planned PR huggingface/diffusers#9622 in diffusers. Apart from this change, the error message for unexpected keys was slightly altered for consistency (it should be more readable now). Also, besides adding a test for the missing keys warning, a test for unexpected keys warning was also added, as it was missing so far.
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BenjaminBossan
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Oct 22, 2024
After merging huggingface#2084, we now clean up the missing_keys when loading a PEFT adapter to remove all but the relevant keys (the fact that base model keys are missing is expected when loading a PEFT adapter). Since the presence of missing_keys now really means that something might have gone wrong during loading, we can now warn the user if they call PeftModel.from_pretrained. Note that load_adapter still does not warn, as here we return the load_result and users can already check, but for from_pretrained, they don't have that possibility.
ArthurZucker
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Oct 24, 2024
When loading a LoRA adapter, so far, there was only a warning when there were unexpected keys in the checkpoint. Now, there is also a warning when there are missing keys. This change is consistent with huggingface/peft#2118 in PEFT and the planned PR huggingface/diffusers#9622 in diffusers. Apart from this change, the error message for unexpected keys was slightly altered for consistency (it should be more readable now). Also, besides adding a test for the missing keys warning, a test for unexpected keys warning was also added, as it was missing so far.
BernardZach
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Dec 5, 2024
When loading a LoRA adapter, so far, there was only a warning when there were unexpected keys in the checkpoint. Now, there is also a warning when there are missing keys. This change is consistent with huggingface/peft#2118 in PEFT and the planned PR huggingface/diffusers#9622 in diffusers. Apart from this change, the error message for unexpected keys was slightly altered for consistency (it should be more readable now). Also, besides adding a test for the missing keys warning, a test for unexpected keys warning was also added, as it was missing so far.
Guy-Bilitski
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May 13, 2025
After merging huggingface#2084, we now clean up the missing_keys when loading a PEFT adapter to remove all but the relevant keys (the fact that base model keys are missing is expected when loading a PEFT adapter). Since the presence of missing_keys now really means that something might have gone wrong during loading, we can now warn the user if they call PeftModel.from_pretrained. Note that load_adapter still does not warn, as here we return the load_result and users can already check, but for from_pretrained, they don't have that possibility.
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After merging #2084, we now clean up the
missing_keyswhen loading a PEFT adapter to remove all but the relevant keys (the fact that base model keys are missing is expected when loading a PEFT adapter).Since the presence of
missing_keysnow really means that something might have gone wrong during loading, we can now warn the user if they callPeftModel.from_pretrained.Note that load_adapter still does not warn, as here we return the
load_resultand users can already check, but forfrom_pretrained, they don't have that possibility.