model.py

Model Overview

A nano-scale implementation of the efficientformer architecture, built for classification tasks.

Architecture

  • Architecture: efficientformer
  • Scale: nano
  • Attention: sliding window
  • Fusion strategy: tucker
  • Task head: classification
  • Activation: swish
  • Normalization: batchnorm
  • Initialization: kaiming normal

Training

  • Optimizer: novograd
  • LR scheduler: constant warmup

Files

  • model.py — main artifact of this repository

License

See the license field above.

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