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JYL480/vit-base-images
vit-base-images is a image classification model from JYL480. 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-in21k on the marmal88/skin_cancer 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 |
|---|---|---|---|---|
| 0.8785 | 0.4 | 100 | 0.7795 | 0.711 |
| 0.7076 | 0.8 | 200 | 0.5421 | 0.818 |
| 0.4283 | 1.2 | 300 | 0.3951 | 0.876 |
| 0.4251 | 1.6 | 400 | 0.3818 | 0.864 |
| 0.335 | 2.0 | 500 | 0.2474 | 0.924 |
| 0.2286 | 2.4 | 600 | 0.1675 | 0.952 |
| 0.1523 | 2.8 | 700 | 0.1641 | 0.954 |
| 0.1346 | 3.2 | 800 | 0.1120 | 0.969 |
| 0.0638 | 3.6 | 900 | 0.1025 | 0.978 |
| 0.0574 | 4.0 | 1000 | 0.0918 | 0.981 |