Ошибка пакета Python Accelerate при использовании Trainer from Transformers ⇐ Python

[Anonymous]

Я пробую это руководство по «Обнимающему лицу»
Я пытаюсь использовать трейнер для тренировки своего режима. На этом этапе возникают ошибки кода:
from datasets import load_dataset
from transformers import AutoTokenizer, AutoModelForSequenceClassification, DataCollatorWithPadding, TrainingArguments, Trainer

checkpoint = "bert-base-uncased"
tokenizer = AutoTokenizer.from_pretrained(checkpoint)
raw_datasets = load_dataset("glue", "mrpc")

def tokenize_function(example):
return tokenizer(example["sentence1"], example["sentence2"], truncation=True)

tokenized_datasets = raw_datasets.map(tokenize_function, batched=True)

data_collator = DataCollatorWithPadding(tokenizer=tokenizer)

training_args = TrainingArguments("test-trainer")

model = AutoModelForSequenceClassification.from_pretrained(checkpoint, num_labels=2)

#The above code works upto here
#The following line fails
trainer = Trainer(
model,
training_args,
train_dataset=tokenized_datasets["train"],
eval_dataset=tokenized_datasets["validation"],
tokenizer=tokenizer,
)

Ошибка отображается как:
File "tutorial.py", line 21, in
trainer = Trainer(
^^^^^^^^
File "/opt/miniconda3/envs/py3env/lib/python3.12/site-packages/transformers/trainer.py", line 388, in __init__
self.create_accelerator_and_postprocess()
File "/opt/miniconda3/envs/py3env/lib/python3.12/site-packages/transformers/trainer.py", line 4364, in create_accelerator_and_postprocess
self.accelerator = Accelerator(**args)
^^^^^^^^^^^^^^^^^^^
TypeError: Accelerator.__init__() got an unexpected keyword argument 'use_seedable_sampler'

Версии:
Python: 3.12.3
Transformer: 4.40.2
Datasets: 2.19.1
Accelerate: 0.21.0


Подробнее здесь: https://stackoverflow.com/questions/784 ... ansformers