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Model save

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  1. README.md +6 -8
  2. 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: 0.0947
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- - Accuracy: 1.0
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  ## Model description
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@@ -47,17 +47,15 @@ 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: 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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- | 1.291 | 1.0 | 4 | 0.8032 | 0.8393 |
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- | 0.6667 | 2.0 | 8 | 0.3500 | 0.9643 |
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- | 0.3311 | 3.0 | 12 | 0.1800 | 0.9464 |
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- | 0.1914 | 4.0 | 16 | 0.1049 | 1.0 |
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- | 0.146 | 5.0 | 20 | 0.0947 | 1.0 |
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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: 0.4107
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+ - Accuracy: 0.9643
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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: 3
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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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+ | 1.3957 | 1.0 | 4 | 0.8269 | 0.8571 |
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+ | 0.7564 | 2.0 | 8 | 0.5248 | 0.9643 |
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+ | 0.5013 | 3.0 | 12 | 0.4107 | 0.9643 |
 
 
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 110348984
 
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