model_449761608_swin_t_nano.py
Model Overview
A nano-scale implementation of the swin t architecture, built for classification tasks.
Architecture
- Architecture: swin t
- Scale: nano
- Attention: grouped query
- Fusion strategy: bilinear
- Task head: classification
- Activation: gelu tanh
- Normalization: rmsnorm
- Initialization: trunc normal
Training
- Optimizer: sgd
- LR scheduler: step
Files
model_449761608_swin_t_nano.py — main artifact of this repository
License
See the license field above.
