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swin-tiny-patch4-window7-224-LongSleeveCleanedData

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update model card README.md

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  1. README.md +9 -14
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@@ -21,7 +21,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 1.0
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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
@@ -31,8 +31,8 @@ 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: 0.0030
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- - Accuracy: 1.0
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  ## Model description
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@@ -60,22 +60,17 @@ 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: 0.01
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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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- | 0.1472 | 0.99 | 132 | 0.0460 | 0.9831 |
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- | 0.1171 | 1.99 | 265 | 0.0213 | 0.9903 |
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- | 0.133 | 3.0 | 398 | 0.0076 | 0.9976 |
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- | 0.0714 | 4.0 | 531 | 0.0081 | 0.9976 |
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- | 0.0776 | 5.0 | 664 | 0.0053 | 0.9988 |
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- | 0.0812 | 6.0 | 797 | 0.0049 | 0.9976 |
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- | 0.0658 | 7.0 | 930 | 0.0030 | 1.0 |
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- | 0.0804 | 7.99 | 1062 | 0.0035 | 0.9976 |
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- | 0.0508 | 8.99 | 1195 | 0.0011 | 1.0 |
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- | 0.0725 | 9.94 | 1320 | 0.0011 | 1.0 |
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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: 0.9955307262569832
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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: 0.0125
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+ - Accuracy: 0.9955
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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: 0.01
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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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+ | 0.1802 | 0.99 | 143 | 0.1151 | 0.9598 |
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+ | 0.0836 | 2.0 | 287 | 0.0202 | 0.9944 |
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+ | 0.1186 | 3.0 | 431 | 0.0165 | 0.9944 |
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+ | 0.08 | 4.0 | 575 | 0.0110 | 0.9966 |
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+ | 0.0575 | 4.97 | 715 | 0.0125 | 0.9955 |
 
 
 
 
 
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  ### Framework versions