| tags: | |
| - image-classification | |
| - pytorch | |
| - huggingpics | |
| datasets: | |
| - sasha/dog-food | |
| metrics: | |
| - accuracy | |
| - f1 | |
| model-index: | |
| - name: dog-food-vit-base-patch16-224-in21k | |
| results: | |
| - task: | |
| name: Image Classification | |
| type: image-classification | |
| dataset: | |
| name: Dog Food | |
| type: sasha/dog-food | |
| metrics: | |
| - name: Accuracy | |
| type: accuracy | |
| value: 0.9988889098167419 | |
| - task: | |
| type: image-classification | |
| name: Image Classification | |
| dataset: | |
| name: sasha/dog-food | |
| type: sasha/dog-food | |
| config: sasha--dog-food | |
| split: test | |
| metrics: | |
| - name: Accuracy | |
| type: accuracy | |
| value: 0.9977777777777778 | |
| verified: true | |
| - name: Precision | |
| type: precision | |
| value: 0.9966777408637874 | |
| verified: true | |
| - name: Recall | |
| type: recall | |
| value: 1.0 | |
| verified: true | |
| - name: AUC | |
| type: auc | |
| value: 0.9999777777777779 | |
| verified: true | |
| - name: F1 | |
| type: f1 | |
| value: 0.9983361064891847 | |
| verified: true | |
| - name: loss | |
| type: loss | |
| value: 0.009058385156095028 | |
| verified: true | |
| # dog-food-vit-base-patch16-224-in21k | |
| This model was trained on the `train` split of the [Dogs vs Food](https://huggingface.co/datasets/sasha/dog-food) dataset -- try training your own using the | |
| [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb)! | |
| ## Example Images | |
| #### dog | |
|  | |
| #### food | |
|  |