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resnet50_cifar100 – AI Model by edadaltocg | AlphaNeural AI

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edadaltocg/
resnet50_cifar100

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image-classification

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Model Card for Model ID

This model is a small resnet50 trained on cifar100.

Test Accuracy: 0.8093
License: MIT

How to Get Started with the Model

Use the code below to get started with the model.

python

import detectors
import timm

model = timm.create_model("resnet50_cifar100", pretrained=True)

Training Data

Training data is cifar100.

Training Hyperparameters

config: scripts/train_configs/cifar100.json
model: resnet50_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.

This model card was created by Eduardo Dadalto.