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为什么在运行transformers模型中train.py会出现以下错误:数据没有问题啊,之前还能运行
Cell In [5], line 83, in train_model(epochs, num_gradients_accumulation, batch_size, gpu_id, lr, load_dir)
81 train_data = train_data[:100]
82 # print (train_knowledge.size())
---> 83 train_dataset = TensorDataset(*train_data)
84 train_dataloader = DataLoader(dataset=tensor_dataset, shuffle=True, batch_size=batch_size)
86 val_data = torch.load("data/validate_data.pth")
File /usr/local/lib/python3.8/site-packages/torch/utils/data/dataset.py:167, in TensorDataset.init(self, *tensors)
166 def init(self, *tensors: Tensor) -> None:
--> 167 assert all(tensors[0].size(0) == tensor.size(0) for tensor in tensors), "Size mismatch between tensors"
168 self.tensors = tensors
File /usr/local/lib/python3.8/site-packages/torch/utils/data/dataset.py:167, in (.0)
166 def init(self, *tensors: Tensor) -> None:
--> 167 assert all(tensors[0].size(0) == tensor.size(0) for tensor in tensors), "Size mismatch between tensors"
168 self.tensors = tensors
AttributeError: 'list' object has no attribute 'size'
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