断点载入时出现错误，lora训练的层数名不正确

[q5756578]

提交前必须检查以下项目

• [X] 请确保使用的是仓库最新代码（git pull），一些问题已被解决和修复。
• [X] 我已阅读项目文档和FAQ章节并且已在Issue中对问题进行了搜索，没有找到相似问题和解决方案。
• [X] 第三方插件问题：例如llama.cpp、LangChain、text-generation-webui等，同时建议到对应的项目中查找解决方案。

问题类型

其他问题

基础模型

Chinese-Alpaca-2 (7B/13B)

操作系统

Linux

详细描述问题

# 请在此处粘贴运行代码（请粘贴在本代码块里）

sft从断点载入后报错，sft可以正常训练。请问断点载入时，需要做什么处理么

依赖情况（代码类问题务必提供）

bitsandbytes       0.41.1
peft               0.6.2
sentencepiece      0.1.99
torch              2.0.1+cu117
torchaudio         2.0.2+cu117
torchvision        0.15.2+cu117
transformers       4.35.0

运行日志或截图

[2023-12-05 09:35:11,423] [INFO] [torch_checkpoint_engine.py:29:load] [Torch] Loaded checkpoint from output_dir/checkpoint-400/global_step400/mp_rank_00_model_states.pt.
Traceback (most recent call last):
  File "/root/Chinese-LLaMA-Alpaca-2/scripts/training/run_clm_sft_with_peft.py", line 525, in <module>
    main()
  File "/root/Chinese-LLaMA-Alpaca-2/scripts/training/run_clm_sft_with_peft.py", line 498, in main
    train_result = trainer.train(resume_from_checkpoint=checkpoint)
  File "/usr/local/lib/python3.10/dist-packages/transformers/trainer.py", line 1555, in train
    return inner_training_loop(
  File "/usr/local/lib/python3.10/dist-packages/transformers/trainer.py", line 1710, in _inner_training_loop
    deepspeed_load_checkpoint(self.model_wrapped, resume_from_checkpoint)
  File "/usr/local/lib/python3.10/dist-packages/transformers/integrations/deepspeed.py", line 402, in deepspeed_load_checkpoint
    load_path, _ = deepspeed_engine.load_checkpoint(
  File "/usr/local/lib/python3.10/dist-packages/deepspeed/runtime/engine.py", line 2713, in load_checkpoint
    load_path, client_states = self._load_checkpoint(load_dir,
  File "/usr/local/lib/python3.10/dist-packages/deepspeed/runtime/engine.py", line 2783, in _load_checkpoint
    self.load_module_state_dict(checkpoint=checkpoint,
  File "/usr/local/lib/python3.10/dist-packages/deepspeed/runtime/engine.py", line 2576, in load_module_state_dict
    self.module.load_state_dict(
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 2041, in load_state_dict
    raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for PeftModelForCausalLM:
        Missing key(s) in state_dict: "base_model.model.model.layers.0.self_attn.q_proj.weight", "base_model.model.model.layers.0.self_attn.k_proj.weight", "base_model.model.model.layers.0.self_attn.v_proj.weight", "base_model.model.model.layers.0.self_attn.o_proj.weight", "base_model.model.model.layers.0.mlp.gate_proj.weight", "base_model.model.model.layers.0.mlp.up_proj.weight", "base_model.model.model.layers.0.mlp.down_proj.weight", "base_model.model.model.layers.0.input_layernorm.weight", "base_model.model.model.layers.0.post_attention_layernorm.weight", "base_model.model.model.layers.1.self_attn.q_proj.weight", "base_model.model.model.layers.1.self_attn.k_proj.weight", "base_model.model.model.layers.1.self_attn.v_proj.weight", "base_model.model.model.layers.1.self_attn.o_proj.weight", "base_model.model.model.layers.1.mlp.gate_proj.weight", "base_model.model.model.layers.1.mlp.up_proj.weight", "base_model.model.model.layers.1.mlp.down_proj.weight", "base_model.model.model.layers.1.input_layernorm.weight", "base_model.model.model.layers.1.post_attention_layernorm.weight", "base_model.model.model.layers.2.self_attn.q_proj.weight", "base_model.model.model.layers.2.self_attn.k_proj.weight", "base_model.model.model.layers.2.self_attn.v_proj.weight", "base_model.model.model.layers.2.self_attn.o_proj.weight", "base_model.model.model.layers.2.mlp.gate_proj.weight", "base_model.model.model.layers.2.mlp.up_proj.weight", "base_model.model.model.layers.2.mlp.down_proj.weight", "base_model.model.model.layers.2.input_layernorm.weight", "base_model.model.model.layers.2.post_attention_layernorm.weight", "base_model.model.model.layers.3.self_attn.q_proj.weight", "base_model.model.model.layers.3.self_attn.k_proj.weight", "base_model.model.model.layers.3.self_attn.v_proj.weight", "base_model.model.model.layers.3.self_attn.o_proj.weight", "base_model.model.model.layers.3.mlp.gate_proj.weight", "base_model.model.model.layers.3.mlp.up_proj.weight", "base_model.model.model.layers.3.mlp.down_proj.weight", "base_model.model.model.layers.3.input_layernorm.weight", "base_model.model.model.layers.3.post_attention_layernorm.weight", "base_model.model.model.layers.4.self_attn.q_proj.weight", "base_model.model.model.layers.4.self_attn.k_proj.weight", "base_model.model.model.layers.4.self_attn.v_proj.weight", "base_model.model.model.layers.4.self_attn.o_proj.weight", "base_model.model.model.layers.4.mlp.gate_proj.weight", "base_model.model.model.layers.4.mlp.up_proj.weight", "base_model.model.model.layers.4.mlp.down_proj.weight", "base_model.model.model.layers.4.input_layernorm.weight", "base_model.model.model.layers.4.post_attention_layernorm.weight", "base_model.model.model.layers.5.self_attn.q_proj.weight", "base_model.model.model.layers.5.self_attn.k_proj.weight", "base_model.model.model.layers.5.self_attn.v_proj.weight", "base_model.model.model.layers.5.self_attn.o_proj.weight", "base_model.model.model.layers.5.mlp.gate_proj.weight", "base_model.model.model.layers.5.mlp.up_proj.weight", "base_model.model.model.layers.5.mlp.down_proj.weight", "base_model.model.model.layers.5.input_layernorm.weight", "base_model.model.model.layers.5.post_attention_layernorm.weight", "base_model.model.model.layers.6.self_attn.q_proj.weight", "base_model.model.model.layers.6.self_attn.k_proj.weight", "base_model.model.model.layers.6.self_attn.v_proj.weight", "base_model.model.model.layers.6.self_attn.o_proj.weight", "base_model.model.model.layers.6.mlp.gate_proj.weight", "base_model.model.model.layers.6.mlp.up_proj.weight", "base_model.model.model.layers.6.mlp.down_proj.weight", "base_model.model.model.layers.6.input_layernorm.weight", "base_model.model.model.layers.6.post_attention_layernorm.weight", "base_model.model.model.layers.7.self_attn.q_proj.weight", "base_model.model.model.layers.7.self_attn.k_proj.weight", "base_model.model.model.layers.7.self_attn.v_proj.weight", "base_model.model.model.layers.7.self_attn.o_proj.weight", "base_model.model.model.layers.7.mlp.gate_proj.weight", "base_model.model.model.layers.7.mlp.up_proj.weight", "base_model.model.model.layers.7.mlp.down_proj.weight", "base_model.model.model.layers.7.input_layernorm.weight", "base_model.model.model.layers.7.post_attention_layernorm.weight", "base_model.model.model.layers.8.self_attn.q_proj.weight", "base_model.model.model.layers.8.self_attn.k_proj.weight", "base_model.model.model.layers.8.self_attn.v_proj.weight", "base_model.model.model.layers.8.self_attn.o_proj.weight", "base_model.model.model.layers.8.mlp.gate_proj.weight", "base_model.model.model.layers.8.mlp.up_proj.weight", "base_model.model.model.layers.8.mlp.down_proj.weight", "base_model.model.model.layers.8.input_layernorm.weight", "base_model.model.model.layers.8.post_attention_layernorm.weight", "base_model.model.model.layers.9.self_attn.q_proj.weight", "base_model.model.model.layers.9.self_attn.k_proj.weight", "base_model.model.model.layers.9.self_attn.v_proj.weight", "base_model.model.model.layers.9.self_attn.o_proj.weight", "base_model.model.model.layers.9.mlp.gate_proj.weight", "base_model.model.model.layers.9.mlp.up_proj.weight", "base_model.model.model.layers.9.mlp.down_proj.weight", "base_model.model.model.layers.9.input_layernorm.weight", "base_model.model.model.layers.9.post_attention_layernorm.weight", "base_model.model.model.layers.10.self_attn.q_proj.weight", "base_model.model.model.layers.10.self_attn.k_proj.weight", "base_model.model.model.layers.10.self_attn.v_proj.weight", "base_model.model.model.layers.10.self_attn.o_proj.weight", "base_model.model.model.layers.10.mlp.gate_proj.weight", "base_model.model.model.layers.10.mlp.up_proj.weight", "base_model.model.model.layers.10.mlp.down_proj.weight", "base_model.model.model.layers.10.input_layernorm.weight", "base_model.model.model.layers.10.post_attention_layernorm.weight", "base_model.model.model.layers.11.self_attn.q_proj.weight", "base_model.model.model.layers.11.self_attn.k_proj.weight", "base_model.model.model.layers.11.self_attn.v_proj.weight", "base_model.model.model.layers.11.self_attn.o_proj.weight", "base_model.model.model.layers.11.mlp.gate_proj.weight", "base_model.model.model.layers.11.mlp.up_proj.weight", "base_model.model.model.layers.11.mlp.down_proj.weight", "base_model.model.model.layers.11.input_layernorm.weight", "base_model.model.model.layers.11.post_attention_layernorm.weight", "base_model.model.model.layers.12.self_attn.q_proj.weight", "base_model.model.model.layers.12.self_attn.k_proj.weight", "base_model.model.model.layers.12.self_attn.v_proj.weight", "base_model.model.model.layers.12.self_attn.o_proj.weight", "base_model.model.model.layers.12.mlp.gate_proj.weight", "base_model.model.model.layers.12.mlp.up_proj.weight", "base_model.model.model.layers.12.mlp.down_proj.weight", "base_model.model.model.layers.12.input_layernorm.weight", "base_model.model.model.layers.12.post_attention_layernorm.weight", "base_model.model.model.layers.13.self_attn.q_proj.weight", "base_model.model.model.layers.13.self_attn.k_proj.weight", "base_model.model.model.layers.13.self_attn.v_proj.weight", "base_model.model.model.layers.13.self_attn.o_proj.weight", "base_model.model.model.layers.13.mlp.gate_proj.weight", "base_model.model.model.layers.13.mlp.up_proj.weight", "base_model.model.model.layers.13.mlp.down_proj.weight", "base_model.model.model.layers.13.input_layernorm.weight", "base_model.model.model.layers.13.post_attention_layernorm.weight", "base_model.model.model.layers.14.self_attn.q_proj.weight", "base_model.model.model.layers.14.self_attn.k_proj.weight", "base_model.model.model.layers.14.self_attn.v_proj.weight", "base_model.model.model.layers.14.self_attn.o_proj.weight", "base_model.model.model.layers.14.mlp.gate_proj.weight", "base_model.model.model.layers.14.mlp.up_proj.weight", "base_model.model.model.layers.14.mlp.down_proj.weight", "base_model.model.model.layers.14.input_layernorm.weight", "base_model.model.model.layers.14.post_attention_layernorm.weight", "base_model.model.model.layers.15.self_attn.q_proj.weight", "base_model.model.model.layers.15.self_attn.k_proj.weight", "base_model.model.model.layers.15.self_attn.v_proj.weight", "base_model.model.model.layers.15.self_attn.o_proj.weight", "base_model.model.model.layers.15.mlp.gate_proj.weight", "base_model.model.model.layers.15.mlp.up_proj.weight", "base_model.model.model.layers.15.mlp.down_proj.weight", "base_model.model.model.layers.15.input_layernorm.weight", "base_model.model.model.layers.15.post_attention_layernorm.weight", "base_model.model.model.layers.16.self_attn.q_proj.weight", "base_model.model.model.layers.16.self_attn.k_proj.weight", "base_model.model.model.layers.16.self_attn.v_proj.weight", "base_model.model.model.layers.16.self_attn.o_proj.weight", "base_model.model.model.layers.16.mlp.gate_proj.weight", "base_model.model.model.layers.16.mlp.up_proj.weight", "base_model.model.model.layers.16.mlp.down_proj.weight", "base_model.model.model.layers.16.input_layernorm.weight", "base_model.model.model.layers.16.post_attention_layernorm.weight", "base_model.model.model.layers.17.self_attn.q_proj.weight", "base_model.model.model.layers.17.self_attn.k_proj.weight", "base_model.model.model.layers.17.self_attn.v_proj.weight", "base_model.model.model.layers.17.self_attn.o_proj.weight", "base_model.model.model.layers.17.mlp.gate_proj.weight", "base_model.model.model.layers.17.mlp.up_proj.weight", "base_model.model.model.layers.17.mlp.down_proj.weight", "base_model.model.model.layers.17.input_layernorm.weight", "base_model.model.model.layers.17.post_attention_layernorm.weight", "base_model.model.model.layers.18.self_attn.q_proj.weight", "base_model.model.model.layers.18.self_attn.k_proj.weight", "base_model.model.model.layers.18.self_attn.v_proj.weight", "base_model.model.model.layers.18.self_attn.o_proj.weight", "base_model.model.model.layers.18.mlp.gate_proj.weight", "base_model.model.model.layers.18.mlp.up_proj.weight", "base_model.model.model.layers.18.mlp.down_proj.weight", "base_model.model.model.layers.18.input_layernorm.weight", "base_model.model.model.layers.18.post_attention_layernorm.weight", "base_model.model.model.layers.19.self_attn.q_proj.weight", "base_model.model.model.layers.19.self_attn.k_proj.weight", "base_model.model.model.layers.19.self_attn.v_proj.weight", "base_model.model.model.layers.19.self_attn.o_proj.weight", "base_model.model.model.layers.19.mlp.gate_proj.weight", "base_model.model.model.layers.19.mlp.up_proj.weight", "base_model.model.model.layers.19.mlp.down_proj.weight", "base_model.model.model.layers.19.input_layernorm.weight", "base_model.model.model.layers.19.post_attention_layernorm.weight", "base_model.model.model.layers.20.self_attn.q_proj.weight", "base_model.model.model.layers.20.self_attn.k_proj.weight", "base_model.model.model.layers.20.self_attn.v_proj.weight", "base_model.model.model.layers.20.self_attn.o_proj.weight", "base_model.model.model.layers.20.mlp.gate_proj.weight", "base_model.model.model.layers.20.mlp.up_proj.weight", "base_model.model.model.layers.20.mlp.down_proj.weight", "base_model.model.model.layers.20.input_layernorm.weight", "base_model.model.model.layers.20.post_attention_layernorm.weight", "base_model.model.model.layers.21.self_attn.q_proj.weight", "base_model.model.model.layers.21.self_attn.k_proj.weight", "base_model.model.model.layers.21.self_attn.v_proj.weight", "base_model.model.model.layers.21.self_attn.o_proj.weight", "base_model.model.model.layers.21.mlp.gate_proj.weight", "base_model.model.model.layers.21.mlp.up_proj.weight", "base_model.model.model.layers.21.mlp.down_proj.weight", "base_model.model.model.layers.21.input_layernorm.weight", "base_model.model.model.layers.21.post_attention_layernorm.weight", "base_model.model.model.layers.22.self_attn.q_proj.weight", "base_model.model.model.layers.22.self_attn.k_proj.weight", "base_model.model.model.layers.22.self_attn.v_proj.weight", "base_model.model.model.layers.22.self_attn.o_proj.weight", "base_model.model.model.layers.22.mlp.gate_proj.weight", "base_model.model.model.layers.22.mlp.up_proj.weight", "base_model.model.model.layers.22.mlp.down_proj.weight", "base_model.model.model.layers.22.input_layernorm.weight", "base_model.model.model.layers.22.post_attention_layernorm.weight", "base_model.model.model.layers.23.self_attn.q_proj.weight", "base_model.model.model.layers.23.self_attn.k_proj.weight", "base_model.model.model.layers.23.self_attn.v_proj.weight", "base_model.model.model.layers.23.self_attn.o_proj.weight", "base_model.model.model.layers.23.mlp.gate_proj.weight", "base_model.model.model.layers.23.mlp.up_proj.weight", "base_model.model.model.layers.23.mlp.down_proj.weight", "base_model.model.model.layers.23.input_layernorm.weight", "base_model.model.model.layers.23.post_attention_layernorm.weight", "base_model.model.model.layers.24.self_attn.q_proj.weight", "base_model.model.model.layers.24.self_attn.k_proj.weight", "base_model.model.model.layers.24.self_attn.v_proj.weight", "base_model.model.model.layers.24.self_attn.o_proj.weight", "base_model.model.model.layers.24.mlp.gate_proj.weight", "base_model.model.model.layers.24.mlp.up_proj.weight", "base_model.model.model.layers.24.mlp.down_proj.weight", "base_model.model.model.layers.24.input_layernorm.weight", "base_model.model.model.layers.24.post_attention_layernorm.weight", "base_model.model.model.layers.25.self_attn.q_proj.weight", "base_model.model.model.layers.25.self_attn.k_proj.weight", "base_model.model.model.layers.25.self_attn.v_proj.weight", "base_model.model.model.layers.25.self_attn.o_proj.weight", "base_model.model.model.layers.25.mlp.gate_proj.weight", "base_model.model.model.layers.25.mlp.up_proj.weight", "base_model.model.model.layers.25.mlp.down_proj.weight", "base_model.model.model.layers.25.input_layernorm.weight", "base_model.model.model.layers.25.post_attention_layernorm.weight", "base_model.model.model.layers.26.self_attn.q_proj.weight", "base_model.model.model.layers.26.self_attn.k_proj.weight", "base_model.model.model.layers.26.self_attn.v_proj.weight", "base_model.model.model.layers.26.self_attn.o_proj.weight", "base_model.model.model.layers.26.mlp.gate_proj.weight", "base_model.model.model.layers.26.mlp.up_proj.weight", "base_model.model.model.layers.26.mlp.down_proj.weight", "base_model.model.model.layers.26.input_layernorm.weight", "base_model.model.model.layers.26.post_attention_layernorm.weight", "base_model.model.model.layers.27.self_attn.q_proj.weight", "base_model.model.model.layers.27.self_attn.k_proj.weight", "base_model.model.model.layers.27.self_attn.v_proj.weight", "base_model.model.model.layers.27.self_attn.o_proj.weight", "base_model.model.model.layers.27.mlp.gate_proj.weight", "base_model.model.model.layers.27.mlp.up_proj.weight", "base_model.model.model.layers.27.mlp.down_proj.weight", "base_model.model.model.layers.27.input_layernorm.weight", "base_model.model.model.layers.27.post_attention_layernorm.weight", "base_model.model.model.layers.28.self_attn.q_proj.weight", "base_model.model.model.layers.28.self_attn.k_proj.weight", "base_model.model.model.layers.28.self_attn.v_proj.weight", "base_model.model.model.layers.28.self_attn.o_proj.weight", "base_model.model.model.layers.28.mlp.gate_proj.weight", "base_model.model.model.layers.28.mlp.up_proj.weight", "base_model.model.model.layers.28.mlp.down_proj.weight", "base_model.model.model.layers.28.input_layernorm.weight", "base_model.model.model.layers.28.post_attention_layernorm.weight", "base_model.model.model.layers.29.self_attn.q_proj.weight", "base_model.model.model.layers.29.self_attn.k_proj.weight", "base_model.model.model.layers.29.self_attn.v_proj.weight", "base_model.model.model.layers.29.self_attn.o_proj.weight", "base_model.model.model.layers.29.mlp.gate_proj.weight", "base_model.model.model.layers.29.mlp.up_proj.weight", "base_model.model.model.layers.29.mlp.down_proj.weight", "base_model.model.model.layers.29.input_layernorm.weight", "base_model.model.model.layers.29.post_attention_layernorm.weight", "base_model.model.model.layers.30.self_attn.q_proj.weight", "base_model.model.model.layers.30.self_attn.k_proj.weight", "base_model.model.model.layers.30.self_attn.v_proj.weight", "base_model.model.model.layers.30.self_attn.o_proj.weight", "base_model.model.model.layers.30.mlp.gate_proj.weight", "base_model.model.model.layers.30.mlp.up_proj.weight", "base_model.model.model.layers.30.mlp.down_proj.weight", "base_model.model.model.layers.30.input_layernorm.weight", "base_model.model.model.layers.30.post_attention_layernorm.weight", "base_model.model.model.layers.31.self_attn.q_proj.weight", "base_model.model.model.layers.31.self_attn.k_proj.weight", "base_model.model.model.layers.31.self_attn.v_proj.weight", "base_model.model.model.layers.31.self_attn.o_proj.weight", "base_model.model.model.layers.31.mlp.gate_proj.weight", "base_model.model.model.layers.31.mlp.up_proj.weight", "base_model.model.model.layers.31.mlp.down_proj.weight", "base_model.model.model.layers.31.input_layernorm.weight", "base_model.model.model.layers.31.post_attention_layernorm.weight", "base_model.model.model.norm.weight". 
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 140138) of binary: /usr/bin/python3
Traceback (most recent call last):
  File "/usr/local/bin/torchrun", line 8, in <module>
    sys.exit(main())
  File "/usr/local/lib/python3.10/dist-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 346, in wrapper
    return f(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/distributed/run.py", line 794, in main
    run(args)
  File "/usr/local/lib/python3.10/dist-packages/torch/distributed/run.py", line 785, in run
    elastic_launch(
  File "/usr/local/lib/python3.10/dist-packages/torch/distributed/launcher/api.py", line 134, in __call__
    return launch_agent(self._config, self._entrypoint, list(args))
  File "/usr/local/lib/python3.10/dist-packages/torch/distributed/launcher/api.py", line 250, in launch_agent
    raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 

[q5756578]

开启的是ZeRO2 进行训练，checkpoint 是从deepspeed 创建创建的检测点进行载入

[q5756578]

https://github.com/ymcui/Chinese-LLaMA-Alpaca/issues/464