It's an MLP architecture with around 500K total parameters. Top1 Training accuracy: 5.11% Validation accuracy 4.59% Detailed Validation accuracy numbers: Top-1 Acc: 4.59% Top-3 Acc: 9.44% Top-5 Acc: 12.68% Top-10 Acc: 18.53% The model was trained on a downscaled version of the Imagenet-1k dataset (3
