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README.md CHANGED
@@ -21,11 +21,11 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3499
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- - Accuracy: 0.9346
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- - Precision: 0.9405
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- - Recall: 0.9346
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- - F1: 0.9346
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  ## Model description
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@@ -57,10 +57,10 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 1.1145 | 1.0 | 48 | 0.8835 | 0.9084 | 0.9187 | 0.9084 | 0.9099 |
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- | 0.5302 | 2.0 | 96 | 0.5353 | 0.9136 | 0.9230 | 0.9136 | 0.9149 |
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- | 0.2934 | 3.0 | 144 | 0.4103 | 0.9188 | 0.9281 | 0.9188 | 0.9196 |
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- | 0.251 | 4.0 | 192 | 0.3499 | 0.9346 | 0.9405 | 0.9346 | 0.9346 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3157
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+ - Accuracy: 0.9529
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+ - Precision: 0.9560
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+ - Recall: 0.9529
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+ - F1: 0.9538
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 1.2056 | 1.0 | 48 | 0.9746 | 0.8560 | 0.8761 | 0.8560 | 0.8530 |
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+ | 0.5285 | 2.0 | 96 | 0.5351 | 0.9188 | 0.9236 | 0.9188 | 0.9196 |
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+ | 0.3189 | 3.0 | 144 | 0.3756 | 0.9372 | 0.9386 | 0.9372 | 0.9370 |
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+ | 0.221 | 4.0 | 192 | 0.3157 | 0.9529 | 0.9560 | 0.9529 | 0.9538 |
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  ### Framework versions
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