--- language: en license: mit library_name: timm tags: - image-classification - resnet50 - cifar10 datasets: cifar10 metrics: - accuracy model-index: - name: resnet50_simclr_cifar10 results: - task: type: image-classification dataset: name: CIFAR-10 type: cifar10 metrics: - type: accuracy value: 0.9012 --- # Model Card for Model ID This model is a small resnet50 trained on cifar10. - **Test Accuracy:** 0.9012 - **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_simclr_cifar10", pretrained=True) ``` ## Training Data Training data is cifar10. ## Training Hyperparameters - **config**: `None` - **model**: `resnet50_simclr_cifar10` - **batch_size**: `512` - **epochs**: `501` - **lr**: `0.5` - **warmup_epochs**: `10` - **validation_frequency**: `50` - **output_features_dim**: `128` - **seed**: `1` - **debug**: `False` - **dataset**: `cifar10` - **training_mode**: `simclr` ## Testing Data Testing data is cifar10. --- This model card was created by Eduardo Dadalto.