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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
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