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T5

T5 is a NLU training template for EasyML.

Parameters

Important arguments include:

  • model_dir. SageMaker saves model weights in model_dir after completing training.
  • data_dir. Training data is uploaded to data_dir.
  • checkpoint_path. SagerMaker saves model weights in checkpoint_path so that training can resume after instance interruptions.

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ML infrastructure for tuning T5

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