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Training in progress epoch 1

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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-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: 0.4593
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- - Train Accuracy: 0.9478
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- - Train Top-3-accuracy: 0.9912
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- - Validation Loss: 0.1558
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- - Validation Accuracy: 0.9809
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- - Validation Top-3-accuracy: 0.9995
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- - Epoch: 0
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  ## Model description
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@@ -47,6 +47,7 @@ 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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  | 0.4593 | 0.9478 | 0.9912 | 0.1558 | 0.9809 | 0.9995 | 0 |
 
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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: 0.1008
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+ - Train Accuracy: 0.9876
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+ - Train Top-3-accuracy: 0.9997
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+ - Validation Loss: 0.0855
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+ - Validation Accuracy: 0.9856
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+ - Validation Top-3-accuracy: 1.0
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+ - Epoch: 1
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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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  | 0.4593 | 0.9478 | 0.9912 | 0.1558 | 0.9809 | 0.9995 | 0 |
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+ | 0.1008 | 0.9876 | 0.9997 | 0.0855 | 0.9856 | 1.0 | 1 |
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  ### Framework versions
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