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update model card README.md

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@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0259
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- - Precision: 0.9947
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- - Recall: 0.9947
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  ## Model description
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@@ -45,14 +45,15 @@ 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_steps: 100
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- - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
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- | 0.1186 | 1.0 | 190 | 0.0757 | 0.9789 | 0.9775 |
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- | 0.0392 | 2.0 | 380 | 0.0259 | 0.9947 | 0.9947 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0242
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+ - Precision: 0.9935
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+ - Recall: 0.9934
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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_steps: 100
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+ - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
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+ | 0.1176 | 1.0 | 190 | 0.0644 | 0.9836 | 0.9828 |
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+ | 0.0515 | 2.0 | 380 | 0.0281 | 0.9934 | 0.9934 |
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+ | 0.0189 | 3.0 | 570 | 0.0242 | 0.9935 | 0.9934 |
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  ### Framework versions