philschmid commited on
Commit
5600e87
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Training in progress epoch 3

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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: 0.0517
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- - Train Accuracy: 0.9939
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  - Train Top-3-accuracy: 0.9999
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- - Validation Loss: 0.0617
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- - Validation Accuracy: 0.9871
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- - Validation Top-3-accuracy: 1.0
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- - Epoch: 2
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  ## Model description
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@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
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  | 0.4692 | 0.9471 | 0.9878 | 0.1455 | 0.9861 | 0.9998 | 0 |
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  | 0.0998 | 0.9888 | 0.9996 | 0.0821 | 0.9864 | 0.9995 | 1 |
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  | 0.0517 | 0.9939 | 0.9999 | 0.0617 | 0.9871 | 1.0 | 2 |
 
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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: 0.0309
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+ - Train Accuracy: 0.9971
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  - Train Top-3-accuracy: 0.9999
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+ - Validation Loss: 0.0524
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+ - Validation Accuracy: 0.9878
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+ - Validation Top-3-accuracy: 0.9998
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+ - Epoch: 3
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  ## Model description
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  | 0.4692 | 0.9471 | 0.9878 | 0.1455 | 0.9861 | 0.9998 | 0 |
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  | 0.0998 | 0.9888 | 0.9996 | 0.0821 | 0.9864 | 0.9995 | 1 |
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  | 0.0517 | 0.9939 | 0.9999 | 0.0617 | 0.9871 | 1.0 | 2 |
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+ | 0.0309 | 0.9971 | 0.9999 | 0.0524 | 0.9878 | 0.9998 | 3 |
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  ### Framework versions
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