run.py
Model Overview
A tiny-scale implementation of the cnn transformer architecture, built for classification tasks.
Architecture
- Architecture: cnn transformer
- Scale: tiny
- Attention: sparse
- Fusion strategy: concat mlp
- Task head: classification
- Activation: gelu tanh
- Normalization: groupnorm
- Initialization: kaiming
Training
- Optimizer: lion
- LR scheduler: linear warmup
Files
run.py— main artifact of this repository
License
See the license field above.
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