train.py
Model Overview
A tiny-scale implementation of the beit architecture, built for retrieval tasks.
Architecture
- Architecture: beit
- Scale: tiny
- Attention: grouped query
- Fusion strategy: co attention
- Task head: retrieval
- Activation: swish
- Normalization: rmsnorm
- Initialization: kaiming
Training
- Optimizer: adafactor
- LR scheduler: linear warmup
Files
train.py — main artifact of this repository
License
See the license field above.
