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End of training

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README.md CHANGED
@@ -14,13 +14,13 @@ 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](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 1.0840
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- - Train Accuracy: 0.6156
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- - Train Top-3-accuracy: 0.8813
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- - Validation Loss: 0.6843
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- - Validation Accuracy: 0.75
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- - Validation Top-3-accuracy: 0.9700
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- - Epoch: 0
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  ## Model description
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@@ -47,6 +47,12 @@ The following hyperparameters were used during training:
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  | Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
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  |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
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  | 1.0840 | 0.6156 | 0.8813 | 0.6843 | 0.75 | 0.9700 | 0 |
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.0378
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+ - Train Accuracy: 0.9953
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+ - Train Top-3-accuracy: 1.0
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+ - Validation Loss: 0.4967
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+ - Validation Accuracy: 0.8433
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+ - Validation Top-3-accuracy: 0.9800
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+ - Epoch: 6
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  ## Model description
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  | Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
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  |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
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  | 1.0840 | 0.6156 | 0.8813 | 0.6843 | 0.75 | 0.9700 | 0 |
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+ | 0.4686 | 0.8406 | 0.9875 | 0.5345 | 0.8100 | 0.9867 | 1 |
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+ | 0.2600 | 0.9312 | 0.9953 | 0.4805 | 0.8333 | 0.9800 | 2 |
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+ | 0.1515 | 0.9609 | 0.9969 | 0.5071 | 0.8267 | 0.9733 | 3 |
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+ | 0.0746 | 0.9875 | 1.0 | 0.4853 | 0.8500 | 0.9833 | 4 |
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+ | 0.0468 | 0.9953 | 1.0 | 0.5006 | 0.8433 | 0.9733 | 5 |
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+ | 0.0378 | 0.9953 | 1.0 | 0.4967 | 0.8433 | 0.9800 | 6 |
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  ### Framework versions
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