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kedimestan
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swin-base-patch4-window7-224

Image Classification
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swin
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  1. README.md +13 -9
  2. model.safetensors +1 -1
  3. runs/Jan14_06-37-45_1d9722d174db/events.out.tfevents.1736836683.1d9722d174db.20.0 +2 -2
README.md CHANGED
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-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: 0.2528
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  - Accuracy: 1.0
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  ## Model description
@@ -66,14 +66,18 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | No log | 0.5714 | 1 | 0.6477 | 0.6957 |
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- | No log | 1.7143 | 3 | 0.2528 | 1.0 |
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- | No log | 2.8571 | 5 | 0.0827 | 1.0 |
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- | No log | 4.0 | 7 | 0.0320 | 1.0 |
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- | No log | 4.5714 | 8 | 0.0217 | 1.0 |
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- | 0.2868 | 5.7143 | 10 | 0.0139 | 1.0 |
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-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: 0.0008
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  - Accuracy: 1.0
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  ## Model description
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.2375 | 1.0 | 34 | 0.0662 | 0.9813 |
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+ | 0.1024 | 2.0 | 68 | 0.0756 | 0.9855 |
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+ | 0.0762 | 3.0 | 102 | 0.0027 | 0.9979 |
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+ | 0.0641 | 4.0 | 136 | 0.0308 | 0.9917 |
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+ | 0.0447 | 5.0 | 170 | 0.0044 | 0.9979 |
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+ | 0.0484 | 6.0 | 204 | 0.0022 | 1.0 |
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+ | 0.0523 | 7.0 | 238 | 0.0072 | 0.9938 |
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+ | 0.047 | 8.0 | 272 | 0.0002 | 1.0 |
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+ | 0.0476 | 9.0 | 306 | 0.0002 | 1.0 |
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+ | 0.0413 | 10.0 | 340 | 0.0008 | 1.0 |
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  ### Framework versions
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