XO-Appleton commited on
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Training in progress epoch 2

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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: 0.0178
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- - Train Accuracy: 0.9979
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  - Train Top-3-accuracy: 1.0
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- - Validation Loss: 0.0197
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- - Validation Accuracy: 0.9966
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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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@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
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  |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
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  | 0.1624 | 0.9544 | 1.0 | 0.0380 | 0.9933 | 1.0 | 0 |
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  | 0.0178 | 0.9979 | 1.0 | 0.0197 | 0.9966 | 1.0 | 1 |
 
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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: 0.0063
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+ - Train Accuracy: 1.0
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  - Train Top-3-accuracy: 1.0
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+ - Validation Loss: 0.0139
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+ - Validation Accuracy: 0.9983
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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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  |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
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  | 0.1624 | 0.9544 | 1.0 | 0.0380 | 0.9933 | 1.0 | 0 |
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  | 0.0178 | 0.9979 | 1.0 | 0.0197 | 0.9966 | 1.0 | 1 |
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+ | 0.0063 | 1.0 | 1.0 | 0.0139 | 0.9983 | 1.0 | 2 |
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  ### Framework versions
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