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# PhiNet on MNIST
This repository contains checkpoints for the MNIST dataset for the following combinations of PhiNet's hyperparameters:
| Model | Top 1 Accuracy | Top 5 Accuracy |
| ------------------ |---------------- | -------------- |
| `PhiNet(alpha=0.5, beta=1, t_zero=6, num_layers=4)` | 99.12% | 100% |
| `PhiNet(alpha=0.75, beta=1, t_zero=6, num_layers=5)` | 98.94% | 99.98% |
To download and use this repo:
```
from micromind import PhiNet
model = PhiNet.from_pretrained("MNIST", alpha=0.5, beta=1.0, t_zero=6, num_layers=4, num_classes=10, resolution=28)
```
## Authors
- [@fpaissan](https://www.github.com/fpaissan)
- [@matteobeltrami](https://www.github.com/matteobeltrami)
---
license: mit
--- |