metadata
license: mit
tags:
- constant-warmup
- contrastive
- cross-attention
- large
- layernorm
- mae
- orthogonal
- relu
- sgd
- sliding-window
eval.py
Model Overview
A large-scale implementation of the mae architecture, built for contrastive tasks.
Architecture
- Architecture: mae
- Scale: large
- Attention: sliding window
- Fusion strategy: cross attention
- Task head: contrastive
- Activation: relu
- Normalization: layernorm
- Initialization: orthogonal
Training
- Optimizer: sgd
- LR scheduler: constant warmup
Files
eval.py— main artifact of this repository
License
See the license field above.