AttributeError: 'Wav2Vec2Config' object has no attribute 'problem_type'

[245789064]

Hi,can you help me with this problem.
thank u!

---

AttributeError Traceback (most recent call last)
in
----> 1 trainer.train()

~/anaconda3/lib/python3.7/site-packages/transformers/trainer.py in train(self, resume_from_checkpoint, trial, **kwargs)
1051 raise ValueError(f"Can't find a valid checkpoint at {resume_from_checkpoint}")
1052
-> 1053 logger.info(f"Loading model from {resume_from_checkpoint}).")
1054
1055 if os.path.isfile(os.path.join(resume_from_checkpoint, CONFIG_NAME)):

in training_step(self, model, inputs)
45 loss = self.compute_loss(model, inputs)
46 else:
---> 47 loss = self.compute_loss(model, inputs)
48
49 if self.args.gradient_accumulation_steps > 1:

~/anaconda3/lib/python3.7/site-packages/transformers/trainer.py in compute_loss(self, model, inputs, return_outputs)
1473 # Save model checkpoint
1474 checkpoint_folder = f"{PREFIX_CHECKPOINT_DIR}-{self.state.global_step}"
-> 1475
1476 if self.hp_search_backend is not None and trial is not None:
1477 if self.hp_search_backend == HPSearchBackend.OPTUNA:

~/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
725 result = self._slow_forward(*input, **kwargs)
726 else:
--> 727 result = self.forward(*input, **kwargs)
728 for hook in itertools.chain(
729 _global_forward_hooks.values(),

in forward(self, input_values, attention_mask, output_attentions, output_hidden_states, return_dict, labels)
83 loss = None
84 if labels is not None:
---> 85 if self.config.problem_type is None:
86 if self.num_labels == 1:
87 self.config.problem_type = "regression"

AttributeError: 'Wav2Vec2Config' object has no attribute 'problem_type'