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End of training

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  1. README.md +4 -4
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,9 +14,9 @@ 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: 2.1249
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- - Validation Loss: 2.0323
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- - Train Accuracy: 0.4286
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  - Epoch: 0
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  ## Model description
@@ -43,7 +43,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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- | 2.1249 | 2.0323 | 0.4286 | 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: 1.9681
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+ - Validation Loss: 1.9158
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+ - Train Accuracy: 0.3929
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  - Epoch: 0
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  ## Model description
 
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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+ | 1.9681 | 1.9158 | 0.3929 | 0 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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