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vgg16_bn_cifar100
edadaltocg/vgg16_bn_cifar100
vgg16_bn_cifar100 is a image classification model from edadaltocg. Use it when you need a label for an image. It is set up for timm. The card lists the license as mit.
This model is a small vgg16bn trained on cifar100.
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Repo size
177 MB
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At a glance
- Task
- Image Classification
- Library
- timm
- License
- mit
- Access
- Public
- Created
- Feb 19, 2023
- Updated
- Feb 20, 2023
- SHA
- 7ba9d786
Datasets
Model card
From the Hugging Face model README
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.
This model card was created by Eduardo Dadalto.
- Task
- Image Classification
- Library
- timm
- License
- mit
- Languages
- en
- Created
- Feb 19, 2023
- Updated
- Feb 20, 2023