ModelScope报错怎么办？

ModelScope报错怎么办？

2023-08-23 16:30:47,857 - modelscope - INFO - Text logs will be saved to tmp_dir
Traceback (most recent call last):
  File "D:/pythonWarkSpace/modelscope_test/mgeo_train.py", line 88, in <module>
    finetune(
  File "D:/pythonWarkSpace/modelscope_test/mgeo_train.py", line 27, in finetune
    trainer.train()
  File "E:\Anaconda3\envs\modelscope\lib\site-packages\modelscope\trainers\trainer.py", line 693, in train
    self.train_loop(self.train_dataloader)
  File "E:\Anaconda3\envs\modelscope\lib\site-packages\modelscope\trainers\trainer.py", line 1215, in train_loop
    self.train_step(self.model, data_batch)
  File "E:\Anaconda3\envs\modelscope\lib\site-packages\modelscope\trainers\trainer.py", line 860, in train_step
    train_outputs = model.forward(**inputs)
  File "E:\Anaconda3\envs\modelscope\lib\site-packages\modelscope\models\multi_modal\mgeo\token_classification.py", line 214, in forward
    loss = loss_fct(active_logits, active_labels)
  File "E:\Anaconda3\envs\modelscope\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "E:\Anaconda3\envs\modelscope\lib\site-packages\torch\nn\modules\loss.py", line 1174, in forward
    return F.cross_entropy(input, target, weight=self.weight,
  File "E:\Anaconda3\envs\modelscope\lib\site-packages\torch\nn\functional.py", line 3029, in cross_entropy
    return torch._C._nn.cross_entropy_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index, label_smoothing)
RuntimeError: expected scalar type Long but found Int