错误的现象
ImportError Traceback (most recent call last)
<ipython-input-20-6958d7eed552> in ()
from transformers import Seq2SegTrainingArguments
training_args = Seq2SeqTrainingArguments(
output_dir="./whisper-small-hi", # change to a repo name of your choice
per_device_train_batch_size=16,
/usr/local/lib/python3.1o/dist-packages/transformers/training_args-py in_setup_devices(self)
if not is_sagemaker_mp_enabled():
if notis_accelerate_available():
raise ImportError(
f"Using the`Trainer`with^PyTorch`requires `accelerate>={ACCELERATE_MIN_VERSION}`:"
"please run `pip install transformers[torch]` or `pip install accelerate -U`
ImportError: Using the^Trainer` with `PyTorch` requires `accelerate>=0.21.0`: Please run `pip install transformers[torch]` or `pip install accelerate -U`
原因分析
看上去accelerate包的依赖没有导入，或者是版本不太匹配。
我先按照他的建议执行了
pip install transformers[torch]
pip install accelerate -U
这两个命令，但是都不管用。
分析一下提到的每个包的作用
transformers
accelerate
PyTorch
依赖分析结果是
accelerate 来管理 transformers 模型的分布式训练和混合精度训练，他们都依赖PyTorch 来执行底层操作。
OK，一步步尝试吧
尝试解决
我做了多次尝试如下，
import transformers
import accelerate
import torch
accelerate.__version__,transformers.__version__,torch.__version__('0.30.1', '4.42.0.dev0', '2.3.0+cu121')
('0.30.1', '4.41.2', '2.3.0+cu121')
('0.21.0', '4.41.2', '2.3.0+cu121')
经过多次尝试，最后一次的版本好能走通。
新问题
下一步的时候又有新错误：
from transformers import Seq2SeqTrainer
trainer = Seq2SeqTrainer(
args=training_args,
model=model,
train_dataset=common_voice["train"],
eval_dataset=common_voice["test"],
data_collator=data_collator,
compute_metrics=compute_metrics,
tokenizer=processor.feature_extractor,
)
TypeError Traceback (most recent call last)
<ipython-input-26-ec450b16962e> in <cell line: 3>()
1 from transformers import Seq2SeqTrainer
2
----> 3 trainer = Seq2SeqTrainer(
4 args=training_args,
5 model=model,
/usr/local/lib/python3.10/dist-packages/transformers/trainer.py in create_accelerator_and_postprocess(self)
4533
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: Accelerator.__init__() got an unexpected keyword argument 'use_seedable_sampler'
最终可用版本
重新尝试了下面新的依赖：
!pip install torch==2.2.0
!pip install accelerate==0.27.2
('0.27.2', '4.41.2', '2.3.0+cu121')
终于成功了！
注意，每次尝试新的版本，都要重启启动整个计算资源，这样新的版本才会生效，建议最上面导入资源的时候指定版本
哎，这玩意真难啊，本来版本不会是太大的问题，奈何菜鸟碰到的问题多啊！
