Image Classification
Collection
4 items
•
Updated
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.5566 | 0.98 | 11 | 0.1846 | 0.975 |
0.1031 | 1.96 | 22 | 0.0150 | 1.0 |
0.0345 | 2.93 | 33 | 0.0031 | 1.0 |
0.0117 | 4.0 | 45 | 0.0008 | 1.0 |
0.0256 | 4.98 | 56 | 0.0008 | 1.0 |
0.0136 | 5.87 | 66 | 0.0007 | 1.0 |
Base model
microsoft/swin-tiny-patch4-window7-224