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

Image Classification
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PyTorch
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swin
Generated from Trainer
Eval Results
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  1. README.md +27 -27
  2. model.safetensors +1 -1
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: 0.7808219178082192
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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-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-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: 0.7601
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- - Accuracy: 0.7808
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  ## Model description
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@@ -67,31 +67,31 @@ 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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- | 0.2882 | 0.98 | 20 | 0.6700 | 0.7306 |
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- | 0.269 | 2.0 | 41 | 0.7167 | 0.7123 |
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- | 0.2436 | 2.98 | 61 | 0.8852 | 0.6849 |
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- | 0.2578 | 4.0 | 82 | 0.7682 | 0.7397 |
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- | 0.2625 | 4.98 | 102 | 0.6846 | 0.7626 |
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- | 0.2412 | 6.0 | 123 | 0.8333 | 0.7260 |
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- | 0.1545 | 6.98 | 143 | 0.7155 | 0.7671 |
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- | 0.2362 | 8.0 | 164 | 0.6572 | 0.7580 |
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- | 0.2316 | 8.98 | 184 | 0.6170 | 0.7717 |
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- | 0.2734 | 10.0 | 205 | 0.6580 | 0.7671 |
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- | 0.2071 | 10.98 | 225 | 0.8211 | 0.7260 |
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- | 0.2054 | 12.0 | 246 | 0.6840 | 0.7580 |
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- | 0.2036 | 12.98 | 266 | 0.6958 | 0.7671 |
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- | 0.1741 | 14.0 | 287 | 0.7601 | 0.7808 |
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- | 0.1942 | 14.98 | 307 | 0.6603 | 0.7580 |
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- | 0.1476 | 16.0 | 328 | 0.6880 | 0.7717 |
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- | 0.1003 | 16.98 | 348 | 0.7685 | 0.7671 |
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- | 0.1442 | 18.0 | 369 | 0.7571 | 0.7580 |
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- | 0.0856 | 18.98 | 389 | 0.7322 | 0.7671 |
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- | 0.1342 | 19.51 | 400 | 0.7278 | 0.7671 |
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  ### Framework versions
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- - Transformers 4.33.2
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- - Pytorch 2.0.1+cu118
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- - Datasets 2.14.5
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- - Tokenizers 0.13.3
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.771689497716895
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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-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-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: 0.6333
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+ - Accuracy: 0.7717
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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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+ | 1.2088 | 0.98 | 20 | 1.1661 | 0.4521 |
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+ | 0.7545 | 2.0 | 41 | 0.8866 | 0.6073 |
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+ | 0.6281 | 2.98 | 61 | 0.7788 | 0.6849 |
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+ | 0.5939 | 4.0 | 82 | 0.6443 | 0.7397 |
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+ | 0.5254 | 4.98 | 102 | 0.5097 | 0.7808 |
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+ | 0.5583 | 6.0 | 123 | 0.5715 | 0.7854 |
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+ | 0.3463 | 6.98 | 143 | 0.6163 | 0.7352 |
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+ | 0.3878 | 8.0 | 164 | 0.5671 | 0.7671 |
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+ | 0.3653 | 8.98 | 184 | 0.5690 | 0.7580 |
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+ | 0.3529 | 10.0 | 205 | 0.5940 | 0.7580 |
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+ | 0.301 | 10.98 | 225 | 0.6303 | 0.7626 |
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+ | 0.2639 | 12.0 | 246 | 0.5725 | 0.7763 |
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+ | 0.2847 | 12.98 | 266 | 0.6280 | 0.7717 |
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+ | 0.25 | 14.0 | 287 | 0.5975 | 0.7717 |
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+ | 0.2472 | 14.98 | 307 | 0.5821 | 0.7671 |
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+ | 0.1676 | 16.0 | 328 | 0.6456 | 0.7626 |
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+ | 0.1327 | 16.98 | 348 | 0.6117 | 0.7671 |
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+ | 0.1977 | 18.0 | 369 | 0.6988 | 0.7489 |
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+ | 0.1602 | 18.98 | 389 | 0.6448 | 0.7671 |
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+ | 0.1785 | 19.51 | 400 | 0.6333 | 0.7717 |
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  ### Framework versions
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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