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@@ -19,14 +19,14 @@ model-index:
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  type: cifar100
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  metrics:
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  - type: accuracy
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- value: 0.7843
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  ---
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  # Model Card for Model ID
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  This model is a small resnet18 trained on cifar100.
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- - **Test Accuracy:** 0.7843
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  - **License:** MIT
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  ## How to Get Started with the Model
@@ -53,9 +53,9 @@ Training data is cifar100.
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  - **dataset**: `cifar100`
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- - **batch_size**: `64`
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- - **epochs**: `200`
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  - **validation_frequency**: `5`
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@@ -73,7 +73,7 @@ Training data is cifar100.
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  - **scheduler**: `CosineAnnealingLR`
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- - **scheduler_kwargs**: `{'T_max': 190}`
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  - **debug**: `False`
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  type: cifar100
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  metrics:
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  - type: accuracy
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+ value: 0.7926
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  ---
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  # Model Card for Model ID
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  This model is a small resnet18 trained on cifar100.
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+ - **Test Accuracy:** 0.7926
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  - **License:** MIT
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  ## How to Get Started with the Model
 
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  - **dataset**: `cifar100`
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+ - **batch_size**: `128`
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+ - **epochs**: `300`
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  - **validation_frequency**: `5`
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  - **scheduler**: `CosineAnnealingLR`
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+ - **scheduler_kwargs**: `{'T_max': 280}`
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  - **debug**: `False`
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