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arieg
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food_classifier_noaug_streaming

Image Classification
Transformers
TensorFlow
vit
generated_from_keras_callback
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End of training

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  1. README.md +8 -8
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,9 +15,9 @@ 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: 0.4750
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- - Validation Loss: 1.2942
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- - Train Accuracy: 0.753
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  - Epoch: 4
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  ## Model description
@@ -44,11 +44,11 @@ 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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- | 3.1686 | 2.7854 | 0.595 | 0 |
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- | 1.6403 | 1.9912 | 0.666 | 1 |
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- | 0.9538 | 1.6441 | 0.688 | 2 |
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- | 0.6312 | 1.4643 | 0.685 | 3 |
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- | 0.4750 | 1.2942 | 0.753 | 4 |
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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: 0.4578
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+ - Validation Loss: 1.3138
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+ - Train Accuracy: 0.801
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  - Epoch: 4
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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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+ | 3.1605 | 2.7599 | 0.602 | 0 |
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+ | 1.6013 | 1.9823 | 0.67 | 1 |
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+ | 0.9193 | 1.5901 | 0.699 | 2 |
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+ | 0.6189 | 1.3822 | 0.712 | 3 |
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+ | 0.4578 | 1.3138 | 0.801 | 4 |
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  ### Framework versions
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