frandovi commited on
Commit
1024171
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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: 0.2351
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- - Train Accuracy: 0.9514
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- - Train Top-3-accuracy: 0.9875
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- - Validation Loss: 0.2611
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- - Validation Accuracy: 0.9570
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- - Validation Top-3-accuracy: 0.9892
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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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  | 0.4646 | 0.9004 | 0.9707 | 0.4014 | 0.9216 | 0.9784 | 1 |
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  | 0.3004 | 0.9348 | 0.9825 | 0.2985 | 0.9446 | 0.9855 | 2 |
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  | 0.2351 | 0.9514 | 0.9875 | 0.2611 | 0.9570 | 0.9892 | 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: 0.2068
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+ - Train Accuracy: 0.9613
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+ - Train Top-3-accuracy: 0.9903
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+ - Validation Loss: 0.2501
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+ - Validation Accuracy: 0.9650
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+ - Validation Top-3-accuracy: 0.9913
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+ - Epoch: 4
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  ## Model description
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  | 0.4646 | 0.9004 | 0.9707 | 0.4014 | 0.9216 | 0.9784 | 1 |
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  | 0.3004 | 0.9348 | 0.9825 | 0.2985 | 0.9446 | 0.9855 | 2 |
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  | 0.2351 | 0.9514 | 0.9875 | 0.2611 | 0.9570 | 0.9892 | 3 |
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+ | 0.2068 | 0.9613 | 0.9903 | 0.2501 | 0.9650 | 0.9913 | 4 |
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  ### Framework versions
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