项目场景:
在kaggle上结合deepspeed使用trainer
问题描述
报错
TypeError: object.init() takes exactly one argument (the instance to initialize)
具体如下:
File /opt/conda/lib/python3.10/site-packages/transformers/training_args.py:1934, in TrainingArguments.__post_init__(self)
1930 from transformers.integrations.deepspeed import HfTrainerDeepSpeedConfig
1932 # will be used later by the Trainer
1933 # note: leave self.deepspeed unmodified in case a user relies on it not to be modified)
-> 1934 self.hf_deepspeed_config = HfTrainerDeepSpeedConfig(self.deepspeed)
1935 self.hf_deepspeed_config.trainer_config_process(self)
1937 # Accelerate DeepSpeed Plugin
File /opt/conda/lib/python3.10/site-packages/transformers/integrations/deepspeed.py:90, in HfTrainerDeepSpeedConfig.__init__(self, config_file_or_dict)
89 def __init__(self, config_file_or_dict):
---> 90 super().__init__(config_file_or_dict)
91 self._dtype = None
92 self.mismatches = []
File /opt/conda/lib/python3.10/site-packages/transformers/integrations/deepspeed.py:80, in HfDeepSpeedConfig.__init__(self, config_file_or_dict)
78 dep_version_check("accelerate")
79 dep_version_check("deepspeed")
---> 80 super().__init__(config_file_or_dict)
TypeError: object.__init__() takes exactly one argument (the instance to initialize)
解决方案:版本不同导致
更新到最新版本即可
!pip install -q --upgrade transformers deepspeed
标签:trainer,__,deepspeed,.__,self,init,报错,config
From: https://blog.csdn.net/zc1226/article/details/140248832