finetune.py
Model Overview
A huge-scale implementation of the swin t architecture, built for classification tasks.
Architecture
- Architecture: swin t
- Scale: huge
- Attention: sliding window
- Fusion strategy: tensor fusion
- Task head: classification
- Activation: approx gelu
- Normalization: layernorm
- Initialization: kaiming normal
Training
- Optimizer: adamw
- LR scheduler: constant warmup
Files
finetune.py— main artifact of this repository
License
See the license field above.
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