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tmp's Introduction

TMP

TMP: Task-oriented Memory-efficient Pruning-adapter

  • calculate_importance.py calculates the importance of all tasks to the Transformer model structure and places visual charts and importance npy files in the importance folder
  • original.py trains and tests the performance of traditional bert methods on GLUE datasets
  • Lora.py trains and tests the performance of traditional LoRA methods on GLUE datasets
  • Pruning-Adapter.py trains and tests the performance of the article's method on the GLUE dataset
  • trainable_params.py calculates model parameters (total parameters, trainable parameters)
  • GPUMem_train.py calculates the GPU usage of the model
  • evaluate.py only tests the performance of individual methods on the GLUE dataset (select methods by comments)

Save visual charts and importance .npy files in the Importance folder

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