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distil-large-v3-hi-ft

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distil-large-v3-hi-ft
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  0%|                                                                                          | 0/5000 [00:00<?, ?it/s]/home/sanchit/hf/lib/python3.8/site-packages/torch/utils/checkpoint.py:460: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
[WARNING|logging.py:329] 2024-03-27 12:35:58,263 >> `use_cache = True` is incompatible with gradient checkpointing. Setting `use_cache = False`...
























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  3%|██▏                                                                          | 140/5000 [19:37<11:16:28,  8.35s/it]Traceback (most recent call last):
  File "run_speech_recognition_seq2seq.py", line 627, in <module>
    main()
  File "run_speech_recognition_seq2seq.py", line 577, in main
    train_result = trainer.train(resume_from_checkpoint=checkpoint)
  File "/home/sanchit/transformers/src/transformers/trainer.py", line 1774, in train
    return inner_training_loop(
  File "/home/sanchit/transformers/src/transformers/trainer.py", line 2088, in _inner_training_loop
    for step, inputs in enumerate(epoch_iterator):
  File "/home/sanchit/hf/lib/python3.8/site-packages/accelerate/data_loader.py", line 462, in __iter__
    next_batch = next(dataloader_iter)
  File "/home/sanchit/hf/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 631, in __next__
    data = self._next_data()
  File "/home/sanchit/hf/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 675, in _next_data
    data = self._dataset_fetcher.fetch(index)  # may raise StopIteration
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