【发布时间】:2021-06-23 18:10:31
【问题描述】:
我正在尝试使用 WordLevel/BPE 标记器标记一些数字字符串,创建数据整理器并最终在 PyTorch DataLoader 中使用它从头开始训练新模型。
但是,我收到一个错误
AttributeError: 'ByteLevelBPETokenizer' 对象没有属性 'pad_token_id'
运行以下代码时
from transformers import DataCollatorForLanguageModeling
from tokenizers import ByteLevelBPETokenizer
from tokenizers.pre_tokenizers import Whitespace
from torch.utils.data import DataLoader, TensorDataset
data = ['4814 4832 4761 4523 4999 4860 4699 5024 4788 <unk>']
# Tokenizer
tokenizer = ByteLevelBPETokenizer()
tokenizer.pre_tokenizer = Whitespace()
tokenizer.train_from_iterator(data, vocab_size=1000, min_frequency=1,
special_tokens=[
"<s>",
"</s>",
"<unk>",
"<mask>",
])
# Data Collator
data_collator = DataCollatorForLanguageModeling(
tokenizer=tokenizer, mlm=False
)
train_dataset = TensorDataset(torch.tensor(tokenizer(data, ......)))
# DataLoader
train_dataloader = DataLoader(
train_dataset,
collate_fn=data_collator
)
这个错误是因为没有为标记器配置pad_token_id吗?如果是这样,我们该怎么做?
谢谢!
错误跟踪:
AttributeError: Caught AttributeError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/opt/anaconda3/envs/x/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 198, in _worker_loop
data = fetcher.fetch(index)
File "/opt/anaconda3/envs/x/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 47, in fetch
return self.collate_fn(data)
File "/opt/anaconda3/envs/x/lib/python3.8/site-packages/transformers/data/data_collator.py", line 351, in __call__
if self.tokenizer.pad_token_id is not None:
AttributeError: 'ByteLevelBPETokenizer' object has no attribute 'pad_token_id'
Conda 包
pytorch 1.7.0 py3.8_cuda10.2.89_cudnn7.6.5_0 pytorch
pytorch-lightning 1.2.5 pyhd8ed1ab_0 conda-forge
tokenizers 0.10.1 pypi_0 pypi
transformers 4.4.2 pypi_0 pypi
【问题讨论】:
-
这是一个可重现的例子吗?我问是因为
tokenizer(data, ......)引发错误。我认为您需要做的就是:tokenizer.save(SOMEWHERE)、from transformers import PreTrainedTokenizerFast、tokenizer = PreTrainedTokenizerFast(tokenizer_file=tokenizer_path)。 -
@cronoik 您的建议有效!谢谢!
标签: python pytorch tokenize huggingface-transformers huggingface-tokenizers