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ShreyasM
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food_classifier

Image Classification
Transformers
TensorFlow
vit
generated_from_keras_callback
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ShreyasM commited on
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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
@@ -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: 0.3741
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- - Validation Loss: 0.3406
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- - Train Accuracy: 0.917
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  - Epoch: 4
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  ## Model description
@@ -43,11 +43,11 @@ 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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- | 2.7884 | 1.6524 | 0.802 | 0 |
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- | 1.1929 | 0.8100 | 0.891 | 1 |
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- | 0.6910 | 0.5326 | 0.905 | 2 |
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- | 0.4867 | 0.4020 | 0.916 | 3 |
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- | 0.3741 | 0.3406 | 0.917 | 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: 0.3738
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+ - Validation Loss: 0.3564
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+ - Train Accuracy: 0.906
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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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+ | 2.7898 | 1.6354 | 0.829 | 0 |
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+ | 1.2367 | 0.8213 | 0.882 | 1 |
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+ | 0.7048 | 0.5298 | 0.902 | 2 |
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+ | 0.4881 | 0.3896 | 0.919 | 3 |
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+ | 0.3738 | 0.3564 | 0.906 | 4 |
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  ### Framework versions
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