用bert预训练模型时报错 IndexError: index out of range in self

[Elveshh]

Epoch: 0% 0/30 [00:00<?, ?it/s]Traceback (most recent call last):
File "run.py", line 191, in
main()
File "run.py", line 182, in main
_, _, all_eval_results = train(args, train_dataset, model, test_dataset)
File "/content/drive/My Drive/Colab Notebooks/yht/RGAT-ABSA-master/trainer.py", line 147, in train
logit = model(**inputs)
File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/content/drive/My Drive/Colab Notebooks/yht/RGAT-ABSA-master/model.py", line 291, in forward
outputs = self.bert(input_cat_ids, token_type_ids = segment_ids)
File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/transformers/models/bert/modeling_bert.py", line 956, in forward
past_key_values_length=past_key_values_length,
File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/transformers/models/bert/modeling_bert.py", line 200, in forward
inputs_embeds = self.word_embeddings(input_ids)
File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/sparse.py", line 126, in forward
self.norm_type, self.scale_grad_by_freq, self.sparse)
File "/usr/local/lib/python3.6/dist-packages/torch/nn/functional.py", line 1852, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
IndexError: index out of range in self
Epoch: 0% 0/30 [00:00<?, ?it/s]