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---
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)
```
## Authors
- [@fpaissan](https://www.github.com/fpaissan)
- [@matteobeltrami](https://www.github.com/matteobeltrami)
---
license: mit
--- |