2.0.0
Features:
- KD trainer and resnet50 recipe (81.92 % accuracy)
- Repeated augmentation sampler
- Cooldown epochs
- Beit architecture
- Lamb Optimizer
- Passing torch data loaders directly to SgModel.
Refactoring:
- Checkpoint and architecture params decoupled.