---
license: mit
datasets:
- cifar10
language:
- en
pipeline_tag: image-classification
---
# 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

- [@fpaissan](https://www.github.com/fpaissan)
- [@matteobeltrami](https://www.github.com/matteobeltrami)

---
license: mit
---