MULTILABEL TEXT CLASSIFICATION USING 🤗 BERT AND PYTORCH PYTORCH LIGHTNING











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In a multi-label classification problem, the training set is composed of instances each can be assigned with multiple categories represented as a set of target labels and the task is to predict the label set of test data e.g., • A text might be about any religion, politics, finance, or education at the same time or none of these. • A movie can be categorized into action, comedy and romance genres based on its summary content. There is the possibility that a movie falls into multiple genres like romcoms [romance comedy • Github Link: https://github.com/shaheerzubery/Mult...

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