TypeError Traceback (most recent call last)
~\AppData\Local\Temp\ipykernel_12760\4032920361.py in
----> 1 trainer.train()
~\anaconda3\lib\site-packages\transformers\trainer.py in train(self, resume_from_checkpoint, trial, ignore_keys_for_eval, **kwargs)
1643 self._inner_training_loop, self._train_batch_size, args.auto_find_batch_size
1644 )
→ 1645 return inner_training_loop(
1646 args=args,
1647 resume_from_checkpoint=resume_from_checkpoint,
~\anaconda3\lib\site-packages\transformers\trainer.py in _inner_training_loop(self, batch_size, args, resume_from_checkpoint, trial, ignore_keys_for_eval)
1936
1937 with self.accelerator.accumulate(model):
→ 1938 tr_loss_step = self.training_step(model, inputs)
1939
1940 if (
~\anaconda3\lib\site-packages\transformers\trainer.py in training_step(self, model, inputs)
2757
2758 with self.compute_loss_context_manager():
→ 2759 loss = self.compute_loss(model, inputs)
2760
2761 if self.args.n_gpu > 1:
~\anaconda3\lib\site-packages\transformers\trainer.py in compute_loss(self, model, inputs, return_outputs)
2782 else:
2783 labels = None
→ 2784 outputs = model(**inputs)
2785 # Save past state if it exists
2786 # TODO: this needs to be fixed and made cleaner later.
~\anaconda3\lib\site-packages\torch\nn\modules\module.py in _call_impl(self, *input, **kwargs)
1192 if not (self._backward_hooks or self._forward_hooks or self._forward_pre_hooks or _global_backward_hooks
1193 or _global_forward_hooks or _global_forward_pre_hooks):
→ 1194 return forward_call(*input, **kwargs)
1195 # Do not call functions when jit is used
1196 full_backward_hooks, non_full_backward_hooks = ,
TypeError: forward() got an unexpected keyword argument ‘image’
Here I’m using the microsoft-layoutlmv3-base model for dqna , how can i solve this ?