alvaromar
/

vit-qa

Model card Files Files and versions

train.py

Model Overview

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

Architecture

Architecture: beit
Scale: xlarge
Attention: standard
Fusion strategy: concat mlp
Task head: matching
Activation: approx gelu
Normalization: groupnorm
Initialization: kaiming

Training

Optimizer: rmsprop
LR scheduler: polynomial

Files

train.py — main artifact of this repository

License

See the license field above.

Downloads last month: -; Downloads are not tracked for this model. How to track

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support