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vuongnhathien/Vit-Base-30VN
Vit-Base-30VN is a image classification model from vuongnhathien. 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 the vuongnhathien/30VNFoods 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 |
|---|---|---|---|---|
| 0.6059 | 1.0 | 275 | 0.5290 | 0.8425 |
| 0.284 | 2.0 | 550 | 0.5239 | 0.8569 |
| 0.1336 | 3.0 | 825 | 0.6038 | 0.8469 |
| 0.0807 | 4.0 | 1100 | 0.5934 | 0.8628 |
| 0.0357 | 5.0 | 1375 | 0.6220 | 0.8588 |
| 0.0206 | 6.0 | 1650 | 0.5674 | 0.8803 |
| 0.0105 | 7.0 | 1925 | 0.5276 | 0.8907 |
| 0.005 | 8.0 | 2200 | 0.5096 | 0.8922 |
| 0.0018 | 9.0 | 2475 | 0.5064 | 0.8926 |
| 0.0035 | 10.0 | 2750 | 0.5055 | 0.8974 |