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Implement Learnable Gated Pooling Approach

This PR implements the Learnable Gated Pooling approach, which combines learnable weights with a gating mechanism for improved sequence pooling.

Changes:

  • Implemented LearnableGatedPooling model component
  • Added data preprocessing functionality
  • Created training and evaluation scripts
  • Updated requirements.txt with PyTorch dependencies

Testing:

  • Verified model training with decreasing loss values
  • Tested evaluation functionality with accuracy metric
  • Confirmed end-to-end workflow execution

Link to Devin run: https://app.devin.ai/sessions/5a7a3c5af9fe4893b0abbd2b9fa2ea62

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🤖 Devin AI Engineer

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