悬赏10元求解ValueError: Expected input batch_size (512) to match target batch_size (1024).

Question

raceback (most recent call last):
  File "d:\tempinformation\ConferenceSummary\train.py", line 129, in <module>
    train_result = trainer.train()
  File "D:\environment\Anaconda\envs\Summary\lib\site-packages\transformers\trainer.py", line 1555, in train
    return inner_training_loop(
  File "D:\environment\Anaconda\envs\Summary\lib\site-packages\transformers\trainer.py", line 1837, in _inner_training_loop
    tr_loss_step = self.training_step(model, inputs)
  File "D:\environment\Anaconda\envs\Summary\lib\site-packages\transformers\trainer.py", line 2682, in training_step
    loss = self.compute_loss(model, inputs)
  File "D:\environment\Anaconda\envs\Summary\lib\site-packages\transformers\trainer.py", line 2707, in compute_loss
    outputs = model(**inputs)
  File "D:\environment\Anaconda\envs\Summary\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "D:\environment\Anaconda\envs\Summary\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "D:\environment\Anaconda\envs\Summary\lib\site-packages\transformers\models\bart\modeling_bart.py", line 1413, in forward
    masked_lm_loss = loss_fct(lm_logits.view(-1, self.config.vocab_size), labels.view(-1))
  File "D:\environment\Anaconda\envs\Summary\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "D:\environment\Anaconda\envs\Summary\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "D:\environment\Anaconda\envs\Summary\lib\site-packages\torch\nn\modules\loss.py", line 1179, in forward
    return F.cross_entropy(input, target, weight=self.weight,
  File "D:\environment\Anaconda\envs\Summary\lib\site-packages\torch\nn\functional.py", line 3053, in cross_entropy
    return torch._C._nn.cross_entropy_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index, label_smoothing)
ValueError: Expected input batch_size (512) to match target batch_size (1024).

不知道问题出在哪，检查过输入的数据,模型输入和标签是一一对应的。

Answer 1

这个错误是由于输入的批次大小（batch_size）与目标（target）的批次大小不匹配导致的。根据错误信息，期望的输入批次大小为512，而目标批次大小为1024。

要解决这个问题，你需要检查你的训练数据和标签数据的批次大小是否一致。确保它们具有相同的批次大小，或者对它们进行适当的调整，使它们匹配。

另外，还要注意检查模型的配置文件中是否设置了正确的批次大小。确保模型的输入层和损失函数的输入尺寸匹配。