45%|█████████████████████████████████████████████████████████████████████████████▉                                                                                              | 29/64 [01:44<02:10,  3.72s/it]Traceback (most recent call last):
  File "run_speech_recognition_ctc.py", line 749, in <module>
    main()
  File "run_speech_recognition_ctc.py", line 700, in main
    train_result = trainer.train(resume_from_checkpoint=checkpoint)
  File "/opt/conda/lib/python3.8/site-packages/transformers/trainer.py", line 1347, in train
    for step, inputs in enumerate(epoch_iterator):
  File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 521, in __next__
    data = self._next_data()
  File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 561, in _next_data
    data = self._dataset_fetcher.fetch(index)  # may raise StopIteration
  File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 52, in fetch
    return self.collate_fn(data)
  File "run_speech_recognition_ctc.py", line 282, in __call__
    batch = self.processor.pad(
  File "/opt/conda/lib/python3.8/site-packages/transformers/models/wav2vec2/processing_wav2vec2.py", line 147, in pad
    return self.current_processor.pad(*args, **kwargs)
  File "/opt/conda/lib/python3.8/site-packages/transformers/feature_extraction_sequence_utils.py", line 217, in pad
    outputs = self._pad(
  File "/opt/conda/lib/python3.8/site-packages/transformers/feature_extraction_sequence_utils.py", line 286, in _pad
    processed_features[self.model_input_names[0]] = np.pad(
  File "<__array_function__ internals>", line 5, in pad
  File "/opt/conda/lib/python3.8/site-packages/numpy/lib/arraypad.py", line 796, in pad
    padded, original_area_slice = _pad_simple(array, pad_width)
  File "/opt/conda/lib/python3.8/site-packages/numpy/lib/arraypad.py", line 124, in _pad_simple
    padded[original_area_slice] = array
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