["q_proj","v_proj"]# Typical attention projections for transformers # , "k_proj")print(f"Forward call arguments:{model.forward.__code__.co_varnames}")model=get_peft_model(model,peft_config)print(f"Forward call arguments:{model.forward.__code__.co_varnames}")model.print_trainable_...
model(input_data)loss=criterion(outputs,target_data)loss.backward()optimizer.step()# 训练后保存 LoRA 权重lora_model.save_pretrained('linear_lora_model')# 方法 1:先使用 get_peft_model,再加载 LoRA 权重model1=PeftModel.from_pretrained(get_peft_model(deepcopy(original_model),config),'linear_lora...
get_peft_model() 。移除一些冗余代码并… Browse files …稍微修改注释。 Fix LoRA fine-tuning issue in section 14.b: prevent ineffective LoRA application by removing `get_peft_model()` before loading LoRA weights. Removed redundant code and made minor comment adjustments....