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  # micromind checkpoints for CIFAR-100
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  This repository contains checkpoints for the CIFAR-100 dataset for the following networks:
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  | Model | Top 1 Accuracy | Top 5 Accuracy |
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  | ------------------ |---------------- | -------------- |
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- | `PhiNet(alpha=3, beta=0.75, t_zero=6, num_layers=7, resolution=160)` | 76.41% | 93.69% |
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- | `PhiNet(alpha=0.75, beta=1, t_zero=6, num_layers=5, resolution=160)` | 60.46% | 86.8% |
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- | `PhiNet(alpha=0.35, beta=1, t_zero=6, num_layers=7, resolution=160)` | 59.63% | 86.03% |
 
 
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  To download and use this repo:
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+ ---
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+ license: mit
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+ datasets:
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+ - cifar100
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+ language:
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+ - en
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+ pipeline_tag: image-classification
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+ ---
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  # micromind checkpoints for CIFAR-100
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  This repository contains checkpoints for the CIFAR-100 dataset for the following networks:
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  | Model | Top 1 Accuracy | Top 5 Accuracy |
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  | ------------------ |---------------- | -------------- |
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+ | `PhiNet(alpha=3, beta=0.75, t_zero=6, num_layers=7, resolution=160)` | 75.56% | 93.5% |
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+ | `PhiNet(alpha=0.75, beta=1, t_zero=6, num_layers=5, resolution=160)` | 60.87% | 86.98% |
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+ | `PhiNet(alpha=0.35, beta=1, t_zero=6, num_layers=7, resolution=160)` | 59.77% | 85.98% |
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+ | `PhiNet(alpha=0.25, beta=1, t_zero=6, num_layers=7, resolution=160)` | 54.16% | 82.32% |
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+ | `PhiNet(alpha=0.25, beta=1, t_zero=5, num_layers=7, resolution=160)` | 52.41% | 81.24% |
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  To download and use this repo:
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