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增加每个checkpoint的config文件的存储，防止加载错误 #86

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增加每个checkpoint的config文件的存储，防止加载错误 #86

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11 changes: 10 additions & 1 deletion finetune.py
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Original file line number Diff line number Diff line change
Expand Up @@ -111,7 +111,16 @@ def save_model(self, output_dir=None, _internal_call=False):
k: v.to("cpu") for k, v in self.model.named_parameters() if v.requires_grad
}
torch.save(saved_params, os.path.join(output_dir, "adapter_model.bin"))

if self.model.peft_config.base_model_name_or_path is None:
self.model.peft_config.base_model_name_or_path = (
self.model.base_model.__dict__.get("name_or_path", None)
if isinstance(self.model.peft_config, PromptLearningConfig)
else self.model.base_model.model.__dict__.get("name_or_path", None)
)
inference_mode = self.model.peft_config.inference_mode
self.model.peft_config.inference_mode = True
self.model.peft_config.save_pretrained(output_dir)
self.model.peft_config.inference_mode = inference_mode

def main():
finetune_args, training_args = HfArgumentParser(
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