# 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)

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license: mit
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region:us
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PhiNet on MNIST
===============


This repository contains checkpoints for the MNIST dataset for the following combinations of PhiNet's hyperparameters:


Model: 'PhiNet(alpha=0.5, beta=1, t\_zero=6, num\_layers=4)', Top 1 Accuracy: 99.12%, Top 5 Accuracy: 100%
Model: 'PhiNet(alpha=0.75, beta=1, t\_zero=6, num\_layers=5)', Top 1 Accuracy: 98.94%, Top 5 Accuracy: 99.98%


To download and use this repo:


Authors
-------


* @fpaissan
* @matteobeltrami




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license: mit
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TAGS
#region-us 

TAGS
#region-us 
