This model is a small resnet50 trained on svhn.
Use the code below to get started with the model.
1import detectors
2import timm
3
4model = timm.create_model("resnet50_svhn", pretrained=True)
Training data is svhn.
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config: scripts/train_configs/svhn.json
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model: resnet50_svhn
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dataset: svhn
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batch_size: 128
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epochs: 300
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validation_frequency: 5
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seed: 1
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criterion: CrossEntropyLoss
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criterion_kwargs: {}
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optimizer: SGD
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lr: 0.01
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optimizer_kwargs: {'momentum': 0.9, 'weight_decay': 0.0005}
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scheduler: MultiStepLR
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scheduler_kwargs: {'gamma': 0.1, 'milestones': [75, 100, 150, 225]}
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debug: False
Testing data is svhn.
This model card was created by Eduardo Dadalto.
