【问题标题】:Huggingface error: AttributeError: 'ByteLevelBPETokenizer' object has no attribute 'pad_token_id'Huggingface 错误:AttributeError:“ByteLevelBPETokenizer”对象没有属性“pad_token_id”
【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 PreTrainedTokenizerFasttokenizer = PreTrainedTokenizerFast(tokenizer_file=tokenizer_path)
  • @cronoik 您的建议有效!谢谢!

标签: python pytorch tokenize huggingface-transformers huggingface-tokenizers


【解决方案1】:

错误告诉您标记器需要一个名为pad_token_id 的属性。您可以将ByteLevelBPETokenizer 包装到具有此类属性的类中(......并且遇到其他缺失的属性)或使用转换器库中的包装类:

from transformers import PreTrainedTokenizerFast

#your code
tokenizer.save(SOMEWHERE)
tokenizer = PreTrainedTokenizerFast(tokenizer_file=tokenizer_path)

【讨论】:

    猜你喜欢
    • 2020-04-15
    • 2021-03-18
    • 1970-01-01
    • 2023-03-22
    • 2021-04-06
    • 2018-03-15
    • 2021-05-08
    • 1970-01-01
    • 1970-01-01
    相关资源
    最近更新 更多