| base_model: WinKawaks/vit-tiny-patch16-224 | |
| datasets: | |
| - uoft-cs/cifar10 | |
| tags: | |
| - image-classification | |
| - vit | |
| - mlflow | |
| pipeline_tag: image-classification | |
| metrics: | |
| - accuracy | |
| - f1 | |
| # cifar10-vit-tiny | |
| Fine-tuned `WinKawaks/vit-tiny-patch16-224` on `uoft-cs/cifar10` (Google Colab T4, tracked with MLflow). | |
| Training images used: 10000. | |
| ## Results (test split) | |
| - accuracy: 0.9613 | |
| - macro F1: 0.9613 | |
| Classes: airplane, automobile, bird, cat, deer, dog, frog, horse, ship, truck | |