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  1. README.md +8 -4
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@@ -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: 0.1981
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- - Accuracy: 0.9121
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  ## Model description
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@@ -47,13 +47,17 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 1
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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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- | 0.1746 | 0.9778 | 33 | 0.1981 | 0.9121 |
 
 
 
 
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  ### Framework versions
 
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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: 0.1383
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+ - Accuracy: 0.9561
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 5
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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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+ | 0.3239 | 0.9778 | 33 | 0.2498 | 0.8996 |
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+ | 0.209 | 1.9852 | 67 | 0.2185 | 0.9100 |
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+ | 0.161 | 2.9926 | 101 | 0.1627 | 0.9414 |
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+ | 0.1275 | 4.0 | 135 | 0.1679 | 0.9372 |
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+ | 0.1157 | 4.8889 | 165 | 0.1383 | 0.9561 |
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  ### Framework versions