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  1. README.md +10 -10
  2. model.safetensors +1 -1
README.md CHANGED
@@ -24,13 +24,13 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9849598930481284
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  - name: Precision
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  type: precision
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- value: 0.9849602172971775
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  - name: Recall
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  type: recall
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- value: 0.9849598930481284
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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
@@ -40,11 +40,11 @@ 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: 0.0457
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- - Accuracy: 0.9850
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  - Precision: 0.9850
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- - Recall: 0.9850
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- - Confusion Matrix: [[1489, 23], [22, 1458]]
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  ## Model description
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@@ -78,9 +78,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | Confusion Matrix |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------------------------:|
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- | 0.117 | 1.0 | 374 | 0.0691 | 0.9729 | 0.9733 | 0.9729 | [[1452, 60], [21, 1459]] |
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- | 0.103 | 2.0 | 748 | 0.0526 | 0.9793 | 0.9795 | 0.9793 | [[1466, 46], [16, 1464]] |
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- | 0.0941 | 3.0 | 1122 | 0.0457 | 0.9850 | 0.9850 | 0.9850 | [[1489, 23], [22, 1458]] |
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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: 0.9846256684491979
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  - name: Precision
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  type: precision
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+ value: 0.9850123826857227
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  - name: Recall
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  type: recall
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+ value: 0.9846256684491979
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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: 0.0532
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+ - Accuracy: 0.9846
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  - Precision: 0.9850
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+ - Recall: 0.9846
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+ - Confusion Matrix: [[1468, 44], [2, 1478]]
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | Confusion Matrix |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------------------------:|
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+ | 0.0527 | 1.0 | 374 | 0.0383 | 0.9880 | 0.9880 | 0.9880 | [[1487, 25], [11, 1469]] |
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+ | 0.0514 | 2.0 | 748 | 0.0357 | 0.9866 | 0.9869 | 0.9866 | [[1474, 38], [2, 1478]] |
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+ | 0.0678 | 3.0 | 1122 | 0.0532 | 0.9846 | 0.9850 | 0.9846 | [[1468, 44], [2, 1478]] |
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  ### Framework versions
model.safetensors CHANGED
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