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+ ---
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+ language: en
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+ license: mit
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+ library_name: timm
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+ tags:
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+ - image-classification
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+ - resnet50
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+ - svhn
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+ datasets: svhn
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: resnet50_svhn
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+ results:
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+ - task:
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+ type: image-classification
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+ dataset:
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+ name: SVHN
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+ type: svhn
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+ metrics:
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+ - type: accuracy
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+ value: 0.963160725261217
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ This model is a small resnet50 trained on svhn.
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+
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+ - **Test Accuracy:** 0.963160725261217
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+ - **License:** MIT
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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+
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+ ```python
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+ import detectors
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+ import timm
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+
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+ model = timm.create_model("resnet50_svhn", pretrained=True)
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+ ```
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+
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+ ## Training Data
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+
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+ Training data is svhn.
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+
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+ ## Training Hyperparameters
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+
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+
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+ - **config**: `scripts/train_configs/svhn.json`
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+
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+ - **model**: `resnet50_svhn`
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+
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+ - **dataset**: `svhn`
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+
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+ - **batch_size**: `128`
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+
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+ - **epochs**: `300`
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+
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+ - **validation_frequency**: `5`
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+
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+ - **seed**: `1`
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+
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+ - **criterion**: `CrossEntropyLoss`
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+
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+ - **criterion_kwargs**: `{}`
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+
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+ - **optimizer**: `SGD`
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+
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+ - **lr**: `0.01`
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+
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+ - **optimizer_kwargs**: `{'momentum': 0.9, 'weight_decay': 0.0005}`
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+
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+ - **scheduler**: `MultiStepLR`
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+
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+ - **scheduler_kwargs**: `{'gamma': 0.1, 'milestones': [75, 100, 150, 225]}`
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+
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+ - **debug**: `False`
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+
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+
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+ ## Testing Data
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+
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+ Testing data is svhn.
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+
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+ ---
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+
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+ This model card was created by Eduardo Dadalto.