| --- |
| language: en |
| license: mit |
| library_name: timm |
| tags: |
| - image-classification |
| - resnet34 |
| - svhn |
| datasets: svhn |
| metrics: |
| - accuracy |
| model-index: |
| - name: resnet34_svhn |
| results: |
| - task: |
| type: image-classification |
| dataset: |
| name: SVHN |
| type: svhn |
| metrics: |
| - type: accuracy |
| value: 0.9626229256299939 |
| --- |
| |
| # Model Card for Model ID |
|
|
| This model is a small resnet34 trained on svhn. |
|
|
| - **Test Accuracy:** 0.9626229256299939 |
| - **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("resnet34_svhn", pretrained=True) |
| ``` |
|
|
| ## Training Data |
|
|
| Training data is svhn. |
|
|
| ## Training Hyperparameters |
|
|
|
|
| - **config**: `scripts/train_configs/svhn.json` |
|
|
| - **model**: `resnet34_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. |
