| language: en | |
| license: mit | |
| library_name: timm | |
| tags: | |
| - image-classification | |
| - resnet50 | |
| - svhn | |
| datasets: svhn | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: resnet50_svhn | |
| results: | |
| - task: | |
| type: image-classification | |
| dataset: | |
| name: SVHN | |
| type: svhn | |
| metrics: | |
| - type: accuracy | |
| value: 0.963160725261217 | |
| # 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. | |
| ```python | |
| 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. |