lora微调报错TypeError: QWenPreTrainedModel._set_gradient_checkpointing() got an unexpected keyword argument 'enable' #661
Comments
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您好，finetune.py兼容性问题，建议您先使用版本低于4.35.0的transformers（并调整相关软件版本以符合依赖，如peft、optimum、accelerate等）。 |
感谢您的答复 |
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Hello, I got the same. |
The right answer is not to downgrade transformers to a previous version. |
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@ehartford Hi,
It is not listed as a breaking change. But in fact, it basically breaks all models on Hugging Face Hub, including Qwen, that use custom code for gradient checkpointing. Fortunately, the inference is not affected. The fix by transformers is not released as of 2023-12-01, but it was merged in main. We will try to support both the old and the new way, but no promise on time can be made now. You could (a) wait for the next patch release (if there is one), since 4.35 breaks a lot of things and it already has two patches, (b) update to the "latest" transformers in main, or (c) as we previously suggested use a version lower than 4.35.0, to use our models. |
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I have worked around this by modifying modeling_qwen.py as follows: |
**root@llm-server:/home/llm/Qwen-main# sh finetune/finetune_lora_ds.sh
[2023-11-22 01:09:58,735] torch.distributed.run: [WARNING]
[2023-11-22 01:09:58,735] torch.distributed.run: [WARNING] *****************************************
[2023-11-22 01:09:58,735] torch.distributed.run: [WARNING] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed.
[2023-11-22 01:09:58,735] torch.distributed.run: [WARNING] *****************************************
[2023-11-22 01:09:59,854] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2023-11-22 01:09:59,856] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2023-11-22 01:09:59,856] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2023-11-22 01:09:59,874] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect)
/opt/conda/lib/python3.10/site-packages/transformers/deepspeed.py:23: FutureWarning: transformers.deepspeed module is deprecated and will be removed in a future version. Please import deepspeed modules directly from transformers.integrations
warnings.warn(
/opt/conda/lib/python3.10/site-packages/transformers/deepspeed.py:23: FutureWarning: transformers.deepspeed module is deprecated and will be removed in a future version. Please import deepspeed modules directly from transformers.integrations
warnings.warn(
/opt/conda/lib/python3.10/site-packages/transformers/deepspeed.py:23: FutureWarning: transformers.deepspeed module is deprecated and will be removed in a future version. Please import deepspeed modules directly from transformers.integrations
warnings.warn(
/opt/conda/lib/python3.10/site-packages/transformers/deepspeed.py:23: FutureWarning: transformers.deepspeed module is deprecated and will be removed in a future version. Please import deepspeed modules directly from transformers.integrations
warnings.warn(
[2023-11-22 01:10:01,260] [INFO] [comm.py:637:init_distributed] cdb=None
[2023-11-22 01:10:01,260] [INFO] [comm.py:637:init_distributed] cdb=None
[2023-11-22 01:10:01,260] [INFO] [comm.py:637:init_distributed] cdb=None
[2023-11-22 01:10:01,260] [INFO] [comm.py:637:init_distributed] cdb=None
[2023-11-22 01:10:01,260] [INFO] [comm.py:668:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
Warning: please make sure that you are using the latest codes and checkpoints, especially if you used Qwen-7B before 09.25.2023.请使用最新模型和代码，尤其如果你在9月25日前已经开始使用Qwen-7B，千万注意不要使用错误代码和模型。
The model is automatically converting to bf16 for faster inference. If you want to disable the automatic precision, please manually add bf16/fp16/fp32=True to "AutoModelForCausalLM.from_pretrained".
Try importing flash-attention for faster inference...
Warning: please make sure that you are using the latest codes and checkpoints, especially if you used Qwen-7B before 09.25.2023.请使用最新模型和代码，尤其如果你在9月25日前已经开始使用Qwen-7B，千万注意不要使用错误代码和模型。
Warning: please make sure that you are using the latest codes and checkpoints, especially if you used Qwen-7B before 09.25.2023.请使用最新模型和代码，尤其如果你在9月25日前已经开始使用Qwen-7B，千万注意不要使用错误代码和模型。
The model is automatically converting to bf16 for faster inference. If you want to disable the automatic precision, please manually add bf16/fp16/fp32=True to "AutoModelForCausalLM.from_pretrained".
The model is automatically converting to bf16 for faster inference. If you want to disable the automatic precision, please manually add bf16/fp16/fp32=True to "AutoModelForCausalLM.from_pretrained".
Try importing flash-attention for faster inference...
Try importing flash-attention for faster inference...
Warning: please make sure that you are using the latest codes and checkpoints, especially if you used Qwen-7B before 09.25.2023.请使用最新模型和代码，尤其如果你在9月25日前已经开始使用Qwen-7B，千万注意不要使用错误代码和模型。
The model is automatically converting to bf16 for faster inference. If you want to disable the automatic precision, please manually add bf16/fp16/fp32=True to "AutoModelForCausalLM.from_pretrained".
Try importing flash-attention for faster inference...
[2023-11-22 01:10:09,081] [INFO] [partition_parameters.py:348:exit] finished initializing model - num_params = 323, num_elems = 14.17B
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 15/15 [00:44<00:00, 2.96s/it]
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 15/15 [00:44<00:00, 2.96s/it]
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 15/15 [00:44<00:00, 2.96s/it]
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 15/15 [00:46<00:00, 3.13s/it]
Loading data...
Formatting inputs...Skip in lazy mode
Traceback (most recent call last):
File "/home/llm/Qwen-main/finetune.py", line 363, in
train()
File "/home/llm/Qwen-main/finetune.py", line 356, in train
trainer.train()
File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 1555, in train
return inner_training_loop(
File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 1668, in _inner_training_loop
self.model.gradient_checkpointing_enable(gradient_checkpointing_kwargs=gradient_checkpointing_kwargs)
File "/opt/conda/lib/python3.10/site-packages/transformers/modeling_utils.py", line 1872, in gradient_checkpointing_enable
self._set_gradient_checkpointing(enable=True, gradient_checkpointing_func=gradient_checkpointing_func)
TypeError: QWenPreTrainedModel._set_gradient_checkpointing() got an unexpected keyword argument 'enable'
Traceback (most recent call last):
File "/home/llm/Qwen-main/finetune.py", line 363, in
train()
File "/home/llm/Qwen-main/finetune.py", line 356, in train
trainer.train()
File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 1555, in train
return inner_training_loop(
File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 1668, in _inner_training_loop
self.model.gradient_checkpointing_enable(gradient_checkpointing_kwargs=gradient_checkpointing_kwargs)
File "/opt/conda/lib/python3.10/site-packages/transformers/modeling_utils.py", line 1872, in gradient_checkpointing_enable
Traceback (most recent call last):
File "/home/llm/Qwen-main/finetune.py", line 363, in
self._set_gradient_checkpointing(enable=True, gradient_checkpointing_func=gradient_checkpointing_func)
train()
File "/home/llm/Qwen-main/finetune.py", line 356, in train
TypeError: QWenPreTrainedModel._set_gradient_checkpointing() got an unexpected keyword argument 'enable'
trainer.train()
File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 1555, in train
return inner_training_loop(
File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 1668, in _inner_training_loop
self.model.gradient_checkpointing_enable(gradient_checkpointing_kwargs=gradient_checkpointing_kwargs)
File "/opt/conda/lib/python3.10/site-packages/transformers/modeling_utils.py", line 1872, in gradient_checkpointing_enable
self._set_gradient_checkpointing(enable=True, gradient_checkpointing_func=gradient_checkpointing_func)
TypeError: QWenPreTrainedModel._set_gradient_checkpointing() got an unexpected keyword argument 'enable'
Traceback (most recent call last):
File "/home/llm/Qwen-main/finetune.py", line 363, in
train()
File "/home/llm/Qwen-main/finetune.py", line 356, in train
trainer.train()
File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 1555, in train
return inner_training_loop(
File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 1668, in _inner_training_loop
self.model.gradient_checkpointing_enable(gradient_checkpointing_kwargs=gradient_checkpointing_kwargs)
File "/opt/conda/lib/python3.10/site-packages/transformers/modeling_utils.py", line 1872, in gradient_checkpointing_enable
self._set_gradient_checkpointing(enable=True, gradient_checkpointing_func=gradient_checkpointing_func)
TypeError: QWenPreTrainedModel._set_gradient_checkpointing() got an unexpected keyword argument 'enable'
[2023-11-22 01:10:58,791] torch.distributed.elastic.multiprocessing.api: [ERROR] failed (exitcode: 1) local_rank: 0 (pid: 119) of binary: /opt/conda/bin/python
Traceback (most recent call last):
File "/opt/conda/bin/torchrun", line 33, in
sys.exit(load_entry_point('torch==2.1.0', 'console_scripts', 'torchrun')())
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/init.py", line 346, in wrapper
return f(*args, **kwargs)
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/run.py", line 806, in main
run(args)
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/run.py", line 797, in run
elastic_launch(
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 134, in call
return launch_agent(self._config, self._entrypoint, list(args))
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 264, in launch_agent
raise ChildFailedError(
**
环境：
**
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_openmp_mutex 5.1 1_gnu
accelerate 0.24.1 pypi_0 pypi
addict 2.4.0 pypi_0 pypi
aiofiles 23.2.1 pypi_0 pypi
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aiosignal 1.3.1 pypi_0 pypi
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aliyun-python-sdk-kms 2.16.2 pypi_0 pypi
altair 5.1.2 pypi_0 pypi
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traitlets 5.7.1 py310h06a4308_0
transformers 4.35.0 pypi_0 pypi
transformers-stream-generator 0.0.4 pypi_0 pypi
truststore 0.8.0 py310h06a4308_0
typer 0.9.0 pypi_0 pypi
types-dataclasses 0.6.6 pypi_0 pypi
typing-extensions 4.8.0 pypi_0 pypi
tzdata 2023.3 pypi_0 pypi
urllib3 1.26.16 py310h06a4308_0
uvicorn 0.24.0.post1 pypi_0 pypi
wcwidth 0.2.5 pyhd3eb1b0_0
websockets 11.0.3 pypi_0 pypi
wheel 0.41.2 py310h06a4308_0
xxhash 3.4.1 pypi_0 pypi
xz 5.4.2 h5eee18b_0
yaml 0.2.5 h7b6447c_0
yaml-cpp 0.7.0 h295c915_1
yapf 0.40.2 pypi_0 pypi
yarl 1.9.2 pypi_0 pypi
zipp 3.17.0 pypi_0 pypi
zlib 1.2.13 h5eee18b_0
zstandard 0.19.0 py310h5eee18b_0
zstd 1.5.5 hc292b87_0
**
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