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ahmedesmail16/0.50-500Train-100Test-beit-base
0.50-500Train-100Test-beit-base is a image classification model from ahmedesmail16. 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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.safetensors343 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k-ft22k 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 |
|---|---|---|---|---|
| 0.4603 | 0.9973 | 92 | 0.6572 | 0.7782 |
| 0.223 | 1.9946 | 184 | 0.6184 | 0.7956 |
| 0.0749 | 2.9919 | 276 | 0.6076 | 0.8262 |
| 0.0218 | 4.0 | 369 | 0.7377 | 0.8140 |
| 0.0082 | 4.9973 | 461 | 0.7851 | 0.8061 |
| 0.0023 | 5.9946 | 553 | 0.7284 | 0.8227 |
| 0.0037 | 6.9810 | 644 | 0.7300 | 0.8262 |