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micromind checkpoints for CIFAR-10

This repository contains checkpoints for the CIFAR-10 dataset for the following networks:

Model Top 1 Accuracy Top 5 Accuracy
PhiNet(alpha=3, beta=0.75, t_zero=6, num_layers=7, resolution=160) 93.61% 99.77%
PhiNet(alpha=0.75, beta=1, t_zero=6, num_layers=5, resolution=160) 86.8% 99.5%
PhiNet(alpha=0.35, beta=1, t_zero=6, num_layers=7, resolution=160) 88.08% 99.48%
PhiNet(alpha=0.25, beta=1, t_zero=6, num_layers=7, resolution=160) 84.97% 99.3%
PhiNet(alpha=0.25, beta=1, t_zero=5, num_layers=7, resolution=160) 83.01% 99.2%

To download and use this repo:

from micromind import PhiNet
model = PhiNet.from_pretrained("CIFAR-10", alpha=3.0, beta=0.75, t_zero=6, num_layers=7, num_classes=10, resolution=160)

Authors


license: mit

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Dataset used to train micromind/CIFAR-10