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MatanBT
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swin-tiny-patch4-window7-224-cifar10

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  1. README.md +10 -10
  2. loss_curve.png +0 -0
  3. model.safetensors +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0996
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- - Accuracy: 0.9806
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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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- | 0.1418 | 1.2788 | 500 | 0.1250 | 0.9588 |
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- | 0.0668 | 2.5575 | 1000 | 0.1019 | 0.9691 |
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- | 0.0510 | 3.8363 | 1500 | 0.0932 | 0.9721 |
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- | 0.0238 | 5.1151 | 2000 | 0.0958 | 0.9762 |
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- | 0.0141 | 6.3939 | 2500 | 0.0971 | 0.9786 |
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- | 0.0056 | 7.6726 | 3000 | 0.1017 | 0.9795 |
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- | 0.0055 | 8.9514 | 3500 | 0.0996 | 0.9806 |
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  ### Framework versions
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  - Transformers 5.3.0
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- - Pytorch 2.5.1+cu121
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  - Datasets 4.8.3
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  - Tokenizers 0.22.2
 
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0995
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+ - Accuracy: 0.9803
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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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+ | 0.1430 | 1.2788 | 500 | 0.1258 | 0.9588 |
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+ | 0.0699 | 2.5575 | 1000 | 0.1101 | 0.9676 |
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+ | 0.0489 | 3.8363 | 1500 | 0.1001 | 0.9713 |
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+ | 0.0234 | 5.1151 | 2000 | 0.1054 | 0.9734 |
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+ | 0.0136 | 6.3939 | 2500 | 0.0970 | 0.98 |
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+ | 0.0080 | 7.6726 | 3000 | 0.0995 | 0.9803 |
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+ | 0.0059 | 8.9514 | 3500 | 0.1005 | 0.9799 |
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  ### Framework versions
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  - Transformers 5.3.0
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+ - Pytorch 2.6.0+cu124
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  - Datasets 4.8.3
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  - Tokenizers 0.22.2
loss_curve.png CHANGED
model.safetensors CHANGED
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