ahharris
/

test-ner

constant-warmup

cross-attention

Model card Files Files and versions

eval.py

Model Overview

A large-scale implementation of the mae architecture, built for contrastive tasks.

Architecture

Architecture: mae
Scale: large
Attention: sliding window
Fusion strategy: cross attention
Task head: contrastive
Activation: relu
Normalization: layernorm
Initialization: orthogonal

Training

Optimizer: sgd
LR scheduler: constant warmup

Files

eval.py — main artifact of this repository

License

See the license field above.

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