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update model card README.md

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@@ -16,7 +16,7 @@ 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 imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2867
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  ## Model description
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@@ -48,15 +48,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.3751 | 0.84 | 100 | 0.3845 |
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- | 0.3237 | 1.68 | 200 | 0.3215 |
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- | 0.2812 | 2.52 | 300 | 0.3092 |
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- | 0.2441 | 3.36 | 400 | 0.2960 |
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- | 0.2268 | 4.2 | 500 | 0.2884 |
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- | 0.2236 | 5.04 | 600 | 0.2873 |
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- | 0.2027 | 5.88 | 700 | 0.2859 |
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- | 0.2024 | 6.72 | 800 | 0.2877 |
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- | 0.1952 | 7.56 | 900 | 0.2867 |
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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 imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2771
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.3737 | 0.89 | 100 | 0.3702 |
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+ | 0.3208 | 1.79 | 200 | 0.3308 |
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+ | 0.2681 | 2.68 | 300 | 0.2977 |
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+ | 0.2334 | 3.57 | 400 | 0.2875 |
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+ | 0.2093 | 4.46 | 500 | 0.2840 |
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+ | 0.1989 | 5.36 | 600 | 0.2798 |
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+ | 0.1801 | 6.25 | 700 | 0.2785 |
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+ | 0.1707 | 7.14 | 800 | 0.2771 |
 
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  ### Framework versions