RunPod•6mo ago

Very Slow Mapping

Hello! I am trying to run dataset.map() and it takes only a few minutes when I run it on Colab. However, when I run it on any machine on RunPod, it reports that it has several hours to finish. I reported this to the Support, but no solution yet. I wonder if anyone faced a similar issue, and how to solve it. The code below is for pre-processing an audio dataset for Whisper fine-tuning. Thanks!

def prepare_dataset(batch):
  audio = batch["audio"]

  batch["input_features"] = feature_extractor(audio["array"],
                     sampling_rate=audio["sampling_rate"]).input_features[0]

  batch["labels"] = tokenizer(batch["translation"]).input_ids

  return batch

dataset = dataset.map(prepare_dataset,
                      remove_columns=dataset.column_names["train"],
                      num_proc=None)

def prepare_dataset(batch):
  audio = batch["audio"]

  batch["input_features"] = feature_extractor(audio["array"],
                     sampling_rate=audio["sampling_rate"]).input_features[0]

  batch["labels"] = tokenizer(batch["translation"]).input_ids

  return batch

dataset = dataset.map(prepare_dataset,
                      remove_columns=dataset.column_names["train"],
                      num_proc=None)

5 Replies

nerdylive•6mo ago

The same code and dataset size? And where do you store the dataset in What library do you use in that code?

YasminOP•6mo ago

Transformers

nerdylive•6mo ago

yeah

YasminOP•6mo ago

Same everthing. RunPod "network volume"

nerdylive•6mo ago

Ooh hmm network volume is abit slower than usual But I haven't done fine tuning for that yet Maybe select nvme when creating pods and filter 9 vcpus

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Very Slow Mapping