goncalvesarthur
/

roberta-intent-practice

Model card Files Files and versions

eval.py

Model Overview

A tiny-scale implementation of the deit architecture, built for matching tasks.

Architecture

Architecture: deit
Scale: tiny
Attention: linear
Fusion strategy: bilinear
Task head: matching
Activation: mish
Normalization: groupnorm
Initialization: xavier uniform

Training

Optimizer: lion
LR scheduler: cosine

Files

eval.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