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ahmedesmail16/Train-Test-Augmentation-V44-beit-base
Train-Test-Augmentation-V44-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 |
|---|---|---|---|---|
| 1.6031 | 0.9825 | 28 | 0.9362 | 0.7132 |
| 0.5124 | 2.0 | 57 | 0.6364 | 0.7933 |
| 0.2676 | 2.9825 | 85 | 0.5382 | 0.8125 |
| 0.1263 | 4.0 | 114 | 0.5486 | 0.8114 |
| 0.0833 | 4.9123 | 140 | 0.5318 | 0.8142 |