umasschemistry
/

quick-embedding

Model card Files Files and versions

train.py

Model Overview

A xlarge-scale implementation of the swin t architecture, built for matching tasks.

Architecture

Architecture: swin t
Scale: xlarge
Attention: flash
Fusion strategy: co attention
Task head: matching
Activation: mish
Normalization: rmsnorm
Initialization: xavier

Training

Optimizer: lamb
LR scheduler: onecycle

Files

train.py — main artifact of this repository

License

See the license field above.

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