train.py
Model Overview
A nano-scale implementation of the cnn transformer architecture, built for retrieval tasks.
Architecture
- Architecture: cnn transformer
- Scale: nano
- Attention: linear
- Fusion strategy: concat mlp
- Task head: retrieval
- Activation: swish
- Normalization: batchnorm
- Initialization: xavier uniform
Training
- Optimizer: rmsprop
- LR scheduler: constant warmup
Files
train.py— main artifact of this repository
License
See the license field above.
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