| 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 | |
| KeyboardInterrupt |