Shypd.aiThe largest open index of AI toolsTextBrewer is a PyTorch-based knowledge distillation toolkit for natural language processing. It provides an easy-to-use framework for compressing models with minimal performance sacrifice, increasing inference speed and reducing memory usage.
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TextBrewer is a PyTorch-based toolkit designed for the knowledge distillation of natural language processing models. It offers a flexible and easy-to-use framework, allowing users to quickly experiment with state-of-the-art distillation methods to compress models while maintaining performance. The toolkit supports various model architectures, especially transformer-based models, and is suitable for a wide range of NLP tasks including text classification, machine reading comprehension, and sequence labeling. Key features include mixed soft-label and hard-label training, dynamic loss weight and temperature adjustment, various distillation loss functions like hidden states MSE and attention-matrix-based loss, and support for multi-teacher distillation. It also allows for user-defined loss functions and modules, providing high flexibility for researchers and developers.
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