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gcperk20
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swin-small-patch4-window7-224-finetuned-piid

Image Classification
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swin
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  1. README.md +23 -23
  2. model.safetensors +1 -1
  3. runs/Nov03_15-58-22_7c480e808e53/events.out.tfevents.1699027107.7c480e808e53.2041.2 +2 -2
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.7945205479452054
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/swin-small-patch4-window7-224](https://huggingface.co/microsoft/swin-small-patch4-window7-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5399
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- - Accuracy: 0.7945
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  ## Model description
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@@ -67,26 +67,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.2497 | 0.98 | 20 | 1.1627 | 0.4703 |
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- | 0.7297 | 2.0 | 41 | 0.7559 | 0.6941 |
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- | 0.6428 | 2.98 | 61 | 0.8123 | 0.6575 |
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- | 0.5308 | 4.0 | 82 | 0.5771 | 0.7215 |
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- | 0.5384 | 4.98 | 102 | 0.6496 | 0.7169 |
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- | 0.4094 | 6.0 | 123 | 0.5802 | 0.7580 |
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- | 0.3204 | 6.98 | 143 | 0.6126 | 0.7489 |
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- | 0.3364 | 8.0 | 164 | 0.5391 | 0.7443 |
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- | 0.278 | 8.98 | 184 | 0.5726 | 0.7534 |
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- | 0.3469 | 10.0 | 205 | 0.5220 | 0.7900 |
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- | 0.2631 | 10.98 | 225 | 0.6373 | 0.7306 |
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- | 0.1854 | 12.0 | 246 | 0.5768 | 0.7808 |
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- | 0.2212 | 12.98 | 266 | 0.5399 | 0.7945 |
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- | 0.1918 | 14.0 | 287 | 0.5777 | 0.7900 |
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- | 0.2053 | 14.98 | 307 | 0.5609 | 0.7900 |
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- | 0.1409 | 16.0 | 328 | 0.5490 | 0.7900 |
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- | 0.1204 | 16.98 | 348 | 0.6096 | 0.7671 |
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- | 0.1467 | 18.0 | 369 | 0.6568 | 0.7626 |
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- | 0.125 | 18.98 | 389 | 0.6355 | 0.7717 |
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- | 0.114 | 19.51 | 400 | 0.6257 | 0.7763 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.776255707762557
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [microsoft/swin-small-patch4-window7-224](https://huggingface.co/microsoft/swin-small-patch4-window7-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6168
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+ - Accuracy: 0.7763
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.2327 | 0.98 | 20 | 1.1687 | 0.5114 |
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+ | 0.7354 | 2.0 | 41 | 0.7696 | 0.6712 |
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+ | 0.602 | 2.98 | 61 | 0.7198 | 0.7078 |
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+ | 0.5809 | 4.0 | 82 | 0.5824 | 0.7397 |
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+ | 0.4989 | 4.98 | 102 | 0.5331 | 0.7489 |
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+ | 0.4364 | 6.0 | 123 | 0.6137 | 0.7489 |
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+ | 0.3321 | 6.98 | 143 | 0.5839 | 0.7717 |
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+ | 0.3 | 8.0 | 164 | 0.5246 | 0.7763 |
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+ | 0.3024 | 8.98 | 184 | 0.5557 | 0.7717 |
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+ | 0.3433 | 10.0 | 205 | 0.5258 | 0.7900 |
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+ | 0.258 | 10.98 | 225 | 0.6354 | 0.7489 |
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+ | 0.1595 | 12.0 | 246 | 0.5492 | 0.8219 |
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+ | 0.2295 | 12.98 | 266 | 0.5889 | 0.7900 |
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+ | 0.1956 | 14.0 | 287 | 0.5670 | 0.7900 |
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+ | 0.2028 | 14.98 | 307 | 0.5460 | 0.7900 |
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+ | 0.1514 | 16.0 | 328 | 0.6587 | 0.7900 |
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+ | 0.0934 | 16.98 | 348 | 0.6131 | 0.7945 |
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+ | 0.1323 | 18.0 | 369 | 0.6615 | 0.7900 |
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+ | 0.1213 | 18.98 | 389 | 0.6192 | 0.7671 |
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+ | 0.1028 | 19.51 | 400 | 0.6168 | 0.7763 |
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  ### Framework versions
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