ansilmbabl commited on
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Training in progress epoch 4

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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: 0.2310
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- - Train Accuracy: 0.9338
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- - Train Top-3-accuracy: 0.9964
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- - Validation Loss: 0.4965
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- - Validation Accuracy: 0.8427
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- - Validation Top-3-accuracy: 0.9817
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- - Epoch: 3
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  ## Model description
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@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
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  | 0.6864 | 0.7853 | 0.9705 | 0.6807 | 0.7647 | 0.9650 | 1 |
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  | 0.3966 | 0.8815 | 0.9896 | 0.5364 | 0.8120 | 0.9777 | 2 |
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  | 0.2310 | 0.9338 | 0.9964 | 0.4965 | 0.8427 | 0.9817 | 3 |
 
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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: 0.1333
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+ - Train Accuracy: 0.9649
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+ - Train Top-3-accuracy: 0.9981
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+ - Validation Loss: 0.4799
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+ - Validation Accuracy: 0.8513
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+ - Validation Top-3-accuracy: 0.9837
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+ - Epoch: 4
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  ## Model description
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  | 0.6864 | 0.7853 | 0.9705 | 0.6807 | 0.7647 | 0.9650 | 1 |
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  | 0.3966 | 0.8815 | 0.9896 | 0.5364 | 0.8120 | 0.9777 | 2 |
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  | 0.2310 | 0.9338 | 0.9964 | 0.4965 | 0.8427 | 0.9817 | 3 |
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+ | 0.1333 | 0.9649 | 0.9981 | 0.4799 | 0.8513 | 0.9837 | 4 |
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  ### Framework versions
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