model_448679478_swin_t_nano.py
Model Overview
A nano-scale implementation of the swin t architecture, built for matching tasks.
Architecture
- Architecture: swin t
- Scale: nano
- Attention: sliding window
- Fusion strategy: tensor fusion
- Task head: matching
- Activation: relu
- Normalization: groupnorm
- Initialization: xavier
Training
- Optimizer: adafactor
- LR scheduler: step
Files
model_448679478_swin_t_nano.py — main artifact of this repository
License
See the license field above.
