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--- |
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language: en |
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license: mit |
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library_name: timm |
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tags: |
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- image-classification |
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- timm/vit_base_patch16_224.orig_in21k_ft_in1k |
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- svhn |
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datasets: svhn |
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metrics: |
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- accuracy |
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model-index: |
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- name: vit_base_patch16_224_in21k_ft_svhn |
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results: |
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- task: |
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type: image-classification |
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dataset: |
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name: SVHN |
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type: svhn |
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metrics: |
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- type: accuracy |
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value: 0.9672326367547633 |
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--- |
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# Model Card for Model ID |
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This model is a small timm/vit_base_patch16_224.orig_in21k_ft_in1k trained on svhn. |
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- **Test Accuracy:** 0.9672326367547633 |
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- **License:** MIT |
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## How to Get Started with the Model |
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Use the code below to get started with the model. |
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```python |
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import detectors |
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import timm |
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model = timm.create_model("vit_base_patch16_224_in21k_ft_svhn", pretrained=True) |
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``` |
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## Training Data |
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Training data is svhn. |
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## Training Hyperparameters |
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- **config**: `scripts/train_configs/ft_svhn.json` |
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- **model**: `vit_base_patch16_224_in21k_ft_svhn` |
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- **dataset**: `svhn` |
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- **batch_size**: `64` |
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- **epochs**: `10` |
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- **validation_frequency**: `1` |
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- **seed**: `1` |
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- **criterion**: `CrossEntropyLoss` |
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- **criterion_kwargs**: `{}` |
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- **optimizer**: `SGD` |
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- **lr**: `0.01` |
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- **optimizer_kwargs**: `{'momentum': 0.9, 'weight_decay': 0.0}` |
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- **scheduler**: `CosineAnnealingLR` |
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- **scheduler_kwargs**: `{'T_max': 10}` |
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- **debug**: `False` |
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## Testing Data |
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Testing data is svhn. |
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--- |
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This model card was created by Eduardo Dadalto. |
