metadata
license: mit
datasets:
- cifar100
language:
- en
pipeline_tag: image-classification
micromind checkpoints for CIFAR-100
This repository contains checkpoints for the CIFAR-100 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) |
75.56% | 93.5% |
PhiNet(alpha=0.75, beta=1, t_zero=6, num_layers=5, resolution=160) |
60.87% | 86.98% |
PhiNet(alpha=0.35, beta=1, t_zero=6, num_layers=7, resolution=160) |
59.77% | 85.98% |
PhiNet(alpha=0.25, beta=1, t_zero=6, num_layers=7, resolution=160) |
54.16% | 82.32% |
PhiNet(alpha=0.25, beta=1, t_zero=5, num_layers=7, resolution=160) |
52.41% | 81.24% |
To download and use this repo:
from micromind import PhiNet
model = PhiNet.from_pretrained("CIFAR-100", alpha=3.0, beta=0.75, t_zero=6, num_layers=7, num_classes=100, resolution=160)