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Training in progress epoch 10

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README.md CHANGED
@@ -15,13 +15,13 @@ 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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- - Train Loss: 0.1686
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- - Train Accuracy: 0.9939
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- - Train Top-3-accuracy: 0.9992
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- - Validation Loss: 0.4980
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- - Validation Accuracy: 0.8920
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- - Validation Top-3-accuracy: 0.9762
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- - Epoch: 9
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  ## Model description
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@@ -57,6 +57,7 @@ The following hyperparameters were used during training:
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  | 0.2346 | 0.9905 | 0.9992 | 0.3804 | 0.9287 | 0.9914 | 7 |
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  | 0.1976 | 0.9935 | 0.9989 | 0.3250 | 0.9546 | 0.9914 | 8 |
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  | 0.1686 | 0.9939 | 0.9992 | 0.4980 | 0.8920 | 0.9762 | 9 |
 
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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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+ - Train Loss: 0.1423
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+ - Train Accuracy: 0.9969
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+ - Train Top-3-accuracy: 0.9996
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+ - Validation Loss: 0.2129
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+ - Validation Accuracy: 0.9654
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+ - Validation Top-3-accuracy: 0.9957
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+ - Epoch: 10
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  ## Model description
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  | 0.2346 | 0.9905 | 0.9992 | 0.3804 | 0.9287 | 0.9914 | 7 |
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  | 0.1976 | 0.9935 | 0.9989 | 0.3250 | 0.9546 | 0.9914 | 8 |
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  | 0.1686 | 0.9939 | 0.9992 | 0.4980 | 0.8920 | 0.9762 | 9 |
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+ | 0.1423 | 0.9969 | 0.9996 | 0.2129 | 0.9654 | 0.9957 | 10 |
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  ### Framework versions
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