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Large User Study (ProtoECGNet over HEEDB) #76

@StevenSong

Description

@StevenSong
  • tune multi-arm ProtoECGNet
    • check loss term weights
      • potentially zero out contrastive loss and use protopnet defaults (clst 0.8, sep 0.08, div 100)
      • if current and defaults are bad, need to optimize
    • check protoecgnet cls init
    • replace learnable l1 and l2, optimize
    • optimize LR schedule and learning rate
  • get sahil things to send to attending (need to confirm details)

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