05-Qwen2-7B-Instruct Lora 微调报错

[hgsw]

你好可以帮忙看下这这个问题吗 在加载训练模型的时候，执行代码

trainer = Trainer(
    model=model,
    args=args,
    train_dataset=tokenized_id,
    data_collator=DataCollatorForSeq2Seq(tokenizer=tokenizer, padding=True)
)

报错信息如下：

	"name": "TypeError",
	"message": "__init__() got an unexpected keyword argument 'use_seedable_sampler'",
	"stack": "---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Input In [21], in <cell line: 1>()
----> 1 trainer = Trainer(
      2     model=model,
      3     args=args,
      4     train_dataset=tokenized_id,
      5     data_collator=DataCollatorForSeq2Seq(tokenizer=tokenizer, padding=True)
      6 )

File ~/miniconda3/lib/python3.8/site-packages/transformers/trainer.py:402, in Trainer.__init__(self, model, args, data_collator, train_dataset, eval_dataset, tokenizer, model_init, compute_metrics, callbacks, optimizers, preprocess_logits_for_metrics)
    399 self.deepspeed = None
    400 self.is_in_train = False
--> 402 self.create_accelerator_and_postprocess()
    404 # memory metrics - must set up as early as possible
    405 self._memory_eracker = TrainerMemoryTracker(self.args.skip_memory_metrics)

File ~/miniconda3/lib/python3.8/site-packages/transformers/trainer.py:4535, in Trainer.create_accelerator_and_postprocess(self)
   4532     args.update(accelerator_config)
   4534 # create accelerator object
-> 4535 self.accelerator = Accelerator(**args)
   4536 # some Trainer classes need to use `gather` instead of `gather_for_metrics`, thus we store a flag
   4537 self.gather_function = self.accelerator.gather_for_metrics

TypeError: __init__() got an unexpected keyword argument 'use_seedable_sampler'"
}

主要配置如下： python: 3.8.10 torch: 2.1.2 transformers: 4.41.2 accelerate: 0.24.1 datasets: 2.10.1 peft: 0.4.0 Driver Version: 535.104.05
CUDA Version: 12.2

此外我将peft: 0.4.0更新到peft: 0.10.0 其他毅版本不变的情况下依然会报这个错，这是为什么呀？ 还请大佬指教~