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MatanBT/vit-base-patch16-224-cifar10
vit-base-patch16-224-cifar10 is a image classification model from MatanBT. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0405 | 1.2788 | 500 | 0.0684 | 0.9801 |
| 0.0211 | 2.5575 | 1000 | 0.0913 | 0.9763 |
| 0.0107 | 3.8363 | 1500 | 0.0541 | 0.9864 |
| 0.0045 | 5.1151 | 2000 | 0.0534 | 0.9883 |
| 0.0022 | 6.3939 | 2500 | 0.0522 | 0.989 |
| 0.0009 | 7.6726 | 3000 | 0.0506 | 0.9906 |
| 0.0012 | 8.9514 | 3500 | 0.0487 | 0.9905 |