Evaluating: 0% 0/38 [00:00<?, ?it/s]
Traceback (most recent call last):
File "train_ner_adapter.py", line 726, in <module>
main()
File "train_ner_adapter.py", line 685, in main
result, _ = evaluate(args, model, tokenizer, labels, pad_token_label_id, mode="dev", prefix=global_step)
File "train_ner_adapter.py", line 288, in evaluate
logits = model(avg_emb)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/transformers/adapters/models/roberta/adapter_model.py", line 68, in forward
outputs = self.roberta(
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/transformers/adapters/context.py", line 108, in wrapper_func
results = f(self, *args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/transformers/models/roberta/modeling_roberta.py", line 843, in forward
buffered_token_type_ids_expanded = buffered_token_type_ids.expand(batch_size, seq_length)
RuntimeError: The expanded size of the tensor (768) must match the existing size (514) at non-singleton dimension 1. Target sizes: [1312, 768]. Tensor sizes: [1, 514]
