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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~
The text was updated successfully, but these errors were encountered:
你好,推荐用相同版本操作:
python -m pip install --upgrade pip # 更换 pypi 源加速库的安装 pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple pip install modelscope==1.9.5 pip install "transformers>=4.39.0" pip install streamlit==1.24.0 pip install sentencepiece==0.1.99 pip install accelerate==0.27 pip install transformers_stream_generator==0.0.4 pip install datasets==2.18.0 pip install peft==0.10.0 # 可选 MAX_JOBS=8 pip install flash-attn --no-build-isolation
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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
报错信息如下:
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~
The text was updated successfully, but these errors were encountered: