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  0%|▏                                                                                                                                                           | 500/503920 [19:41<127:22:04,  1.10it/s]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 41040
  Batch size = 12
{'loss': 2.9263, 'learning_rate': 4.9000000000000005e-06, 'epoch': 0.04}


































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































  File "/mnt/lv_ai_1_dante/ml/models/wav2vec2-1b-npsc-nst-bokmaal/run_speech_recognition_ctc.py", line 819, in <module>█████████████████████████████████████████▏     | 3297/3420 [43:23<01:41,  1.21it/s]
    main()
  File "/mnt/lv_ai_1_dante/ml/models/wav2vec2-1b-npsc-nst-bokmaal/run_speech_recognition_ctc.py", line 770, in main
    train_result = trainer.train(resume_from_checkpoint=checkpoint)
  File "/mnt/lv_ai_1_dante/ml/rolvb/venv/lib/python3.9/site-packages/transformers/trainer.py", line 1497, in train
    self._maybe_log_save_evaluate(tr_loss, model, trial, epoch, ignore_keys_for_eval)
  File "/mnt/lv_ai_1_dante/ml/rolvb/venv/lib/python3.9/site-packages/transformers/trainer.py", line 1624, in _maybe_log_save_evaluate
    metrics = self.evaluate(ignore_keys=ignore_keys_for_eval)
  File "/mnt/lv_ai_1_dante/ml/rolvb/venv/lib/python3.9/site-packages/transformers/trainer.py", line 2284, in evaluate
    output = eval_loop(
  File "/mnt/lv_ai_1_dante/ml/rolvb/venv/lib/python3.9/site-packages/transformers/trainer.py", line 2448, in evaluation_loop
    for step, inputs in enumerate(dataloader):
  File "/mnt/lv_ai_1_dante/ml/rolvb/venv/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 530, in __next__
    data = self._next_data()
  File "/mnt/lv_ai_1_dante/ml/rolvb/venv/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 570, in _next_data
    data = self._dataset_fetcher.fetch(index)  # may raise StopIteration
  File "/mnt/lv_ai_1_dante/ml/rolvb/venv/lib/python3.9/site-packages/torch/utils/data/_utils/fetch.py", line 52, in fetch
    return self.collate_fn(data)
  File "/mnt/lv_ai_1_dante/ml/models/wav2vec2-1b-npsc-nst-bokmaal/run_speech_recognition_ctc.py", line 281, in __call__
    batch = self.processor.pad(
  File "/mnt/lv_ai_1_dante/ml/rolvb/venv/lib/python3.9/site-packages/transformers/models/wav2vec2/processing_wav2vec2.py", line 82, in pad
    return self.current_processor.pad(*args, **kwargs)
  File "/mnt/lv_ai_1_dante/ml/rolvb/venv/lib/python3.9/site-packages/transformers/feature_extraction_sequence_utils.py", line 178, in pad
    processed_features[key] = [to_numpy(v) for v in value]
  File "/mnt/lv_ai_1_dante/ml/rolvb/venv/lib/python3.9/site-packages/transformers/feature_extraction_sequence_utils.py", line 178, in <listcomp>
    processed_features[key] = [to_numpy(v) for v in value]
  File "/mnt/lv_ai_1_dante/ml/rolvb/venv/lib/python3.9/site-packages/transformers/utils/generic.py", line 135, in to_numpy
    return np.array(obj)
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