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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