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edadaltocg/
resnet34_cifar10

Name: resnet34_cifar10
Availability: InStock

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This model is a small resnet34 trained on cifar10.

Use the code below to get started with the model.

python

import detectors
import timm

model = timm.create_model("resnet34_cifar10", pretrained=True)

Training data is cifar10.

config: scripts/train_configs/cifar10.json
model: resnet34_cifar10
dataset: cifar10
batch_size: 128
epochs: 300
validation_frequency: 5
seed: 1
criterion: CrossEntropyLoss
criterion_kwargs: {}
optimizer: SGD
lr: 0.1
optimizer_kwargs: {'momentum': 0.9, 'weight_decay': 0.0005, 'nesterov': 'True'}
scheduler: ReduceLROnPlateau
scheduler_kwargs: {'factor': 0.1, 'patience': 3, 'threshold': 0.001, 'mode': 'max'}
debug: False

Testing data is cifar10.

This model card was created by Eduardo Dadalto.