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MatanBT/vit-base-patch16-224-cifar100
vit-base-patch16-224-cifar100 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 |
|---|---|---|---|---|
| 0.3521 | 1.2788 | 500 | 0.3978 | 0.8883 |
| 0.1523 | 2.5575 | 1000 | 0.3153 | 0.9119 |
| 0.0798 | 3.8363 | 1500 | 0.3076 | 0.9165 |
| 0.0340 | 5.1151 | 2000 | 0.3171 | 0.9185 |
| 0.0096 | 6.3939 | 2500 | 0.3021 | 0.926 |
| 0.0085 | 7.6726 | 3000 | 0.3022 | 0.9251 |
| 0.0045 | 8.9514 | 3500 | 0.3001 | 0.9267 |