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vuongnhathien/SwinV2-Base-30VN-Food
SwinV2-Base-30VN-Food 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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.safetensors348 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of microsoft/swinv2-base-patch4-window12-192-22k 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 |
|---|---|---|---|---|
| 0.8268 | 1.0 | 275 | 0.5937 | 0.8270 |
| 0.5113 | 2.0 | 550 | 0.5267 | 0.8545 |
| 0.331 | 3.0 | 825 | 0.5459 | 0.8545 |
| 0.2273 | 4.0 | 1100 | 0.6090 | 0.8441 |
| 0.1384 | 5.0 | 1375 | 0.6096 | 0.8736 |
| 0.0918 | 6.0 | 1650 | 0.6669 | 0.8414 |
| 0.0616 | 7.0 | 1925 | 0.6487 | 0.8891 |
| 0.0307 | 8.0 | 2200 | 0.6908 | 0.8787 |
| 0.0173 | 9.0 | 2475 | 0.6673 | 0.8938 |
| 0.0109 | 10.0 | 2750 | 0.6488 | 0.9014 |