edadaltocg/vgg16_bn_cifar100

Model Card for Model ID

This model is a small vgg16_bn trained on cifar100.

• Test Accuracy: 0.7494
• License: MIT

How to Get Started with the Model

Use the code below to get started with the model.

import detectors
import timm

model = timm.create_model("vgg16_bn_cifar100", pretrained=True)

Training Data

Training data is cifar100.

Training Hyperparameters

• config: scripts/train_configs/cifar100.json

• model: vgg16_bn_cifar100

• dataset: cifar100

• 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}

• scheduler: CosineAnnealingLR

• scheduler_kwargs: {'T_max': 280}

• debug: False

Testing Data

Testing data is cifar100.

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This model card was created by Eduardo Dadalto.