Closed nepeee closed 1 year ago
Do you mean transformers? or Peft?
Ohh sry, its transformers.
The issue is similar to this: https://github.com/huggingface/peft/issues/286
Thanks! I'll test it later to find out what's wrong with it
Fixed it inside pip branch.
Well it seems to be working but when i try to resume it show a bunch of missing/unexpected keys. The training loss is about the same as before. Is this normal?
There were missing keys in the checkpoint model loaded: [
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].
I think it's normal. The default implement in transformers cannot load the weight for lora models using peft as default. The weights are loaded by the extra 2 lines of code:
state_dict_peft = torch.load(os.path.join(ft_config.resume_checkpoint, 'adapter_model.bin'), map_location='cpu')
set_peft_model_state_dict(model, state_dict_peft)
Thx seems to be working well now.
It generates a few bytes for the lora checkpoints with the latest version of hf but seems to be working with an older commit ex.: 50f82e12823ef8844b45a0dd864a78eea80de879