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mbeltrami/MNIST
MNIST is a machine learning model from mbeltrami. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains checkpoints for the MNIST dataset for the following combinations of PhiNet's hyperparameters:
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Updated Feb 24, 2023
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From the Hugging Face model README
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)