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resnet50_svhn
edadaltocg/resnet50_svhn
resnet50_svhn 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 resnet50 trained on svhn.
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Repo size
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At a glance
- Task
- Image Classification
- Library
- timm
- License
- mit
- Access
- Public
- Created
- Feb 20, 2023
- Updated
- Feb 20, 2023
- SHA
- e52eda00
Datasets
Model card
From the Hugging Face model README
Model Card for Model ID
This model is a small resnet50 trained on svhn.
- Test Accuracy: 0.963160725261217
- 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("resnet50_svhn", pretrained=True)
Training Data
Training data is svhn.
Training Hyperparameters
-
config:
scripts/train_configs/svhn.json -
model:
resnet50_svhn -
dataset:
svhn -
batch_size:
128 -
epochs:
300 -
validation_frequency:
5 -
seed:
1 -
criterion:
CrossEntropyLoss -
criterion_kwargs:
{} -
optimizer:
SGD -
lr:
0.01 -
optimizer_kwargs:
{'momentum': 0.9, 'weight_decay': 0.0005} -
scheduler:
MultiStepLR -
scheduler_kwargs:
{'gamma': 0.1, 'milestones': [75, 100, 150, 225]} -
debug:
False
Testing Data
Testing data is svhn.
This model card was created by Eduardo Dadalto.
- Task
- Image Classification
- Library
- timm
- License
- mit
- Languages
- en
- Created
- Feb 20, 2023
- Updated
- Feb 20, 2023