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100rab25
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swin-tiny-patch4-window7-224-fraud_number_classification

Image Classification
Transformers
PyTorch
swin
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
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  1. README.md +9 -14
  2. pytorch_model.bin +1 -1
README.md CHANGED
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9888475836431226
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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
@@ -32,8 +32,8 @@ 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 the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0302
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- - Accuracy: 0.9888
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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: 10
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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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- | 0.4532 | 1.0 | 19 | 0.1707 | 0.9740 |
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- | 0.0796 | 2.0 | 38 | 0.0472 | 0.9851 |
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- | 0.0487 | 3.0 | 57 | 0.0189 | 0.9963 |
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- | 0.0314 | 4.0 | 76 | 0.0375 | 0.9926 |
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- | 0.0318 | 5.0 | 95 | 0.0343 | 0.9926 |
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- | 0.0153 | 6.0 | 114 | 0.0738 | 0.9777 |
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- | 0.0145 | 7.0 | 133 | 0.0264 | 0.9926 |
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- | 0.01 | 8.0 | 152 | 0.0281 | 0.9888 |
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- | 0.015 | 9.0 | 171 | 0.0480 | 0.9888 |
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- | 0.0241 | 10.0 | 190 | 0.0302 | 0.9888 |
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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: 0.9925650557620818
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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: 0.0431
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+ - Accuracy: 0.9926
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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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+ | 0.0229 | 1.0 | 19 | 0.0516 | 0.9851 |
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+ | 0.0193 | 2.0 | 38 | 0.0107 | 0.9963 |
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+ | 0.0062 | 3.0 | 57 | 0.0275 | 0.9963 |
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+ | 0.0172 | 4.0 | 76 | 0.0313 | 0.9963 |
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+ | 0.028 | 5.0 | 95 | 0.0431 | 0.9926 |
 
 
 
 
 
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  ### Framework versions
pytorch_model.bin CHANGED
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