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Fine tune Bert Model for classification

In this Notebook you will learn how to transformer based large language model on your own dataset

  • preprocess a text dataset

    • Load dataset
    • Analyze features and target
    • Tokenize text
    • add padding to make same length
    • Convert Dict to Tensorflow dataset for trainable keras model
  • Optimize the model

    • You will learn how to optimize the model hyperparameters
  • Train model on your own prepared dataset

  • Evaluate your trained model

    • You will learn how to evaluate model 'accuracy' and 'f1' score

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