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agusg6
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food_classifier

Image Classification
Transformers
TensorFlow
vit
generated_from_keras_callback
Inference Endpoints
Model card Files Community
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End of training

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  1. README.md +8 -9
  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: 0.3942
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- - Validation Loss: 0.3840
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- - Train Accuracy: 0.905
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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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- | 2.8239 | 1.6492 | 0.835 | 0 |
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- | 1.2376 | 0.8244 | 0.887 | 1 |
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- | 0.7149 | 0.5528 | 0.893 | 2 |
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- | 0.5065 | 0.4503 | 0.891 | 3 |
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- | 0.3942 | 0.3840 | 0.905 | 4 |
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  ### Framework versions
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  - Transformers 4.38.2
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  - TensorFlow 2.15.0
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- - Datasets 2.18.0
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  - Tokenizers 0.15.2
 
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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: 0.3832
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+ - Validation Loss: 0.3326
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+ - Train Accuracy: 0.915
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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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+ | 2.7972 | 1.6386 | 0.814 | 0 |
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+ | 1.2192 | 0.7784 | 0.91 | 1 |
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+ | 0.7000 | 0.4857 | 0.919 | 2 |
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+ | 0.4935 | 0.3698 | 0.925 | 3 |
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+ | 0.3832 | 0.3326 | 0.915 | 4 |
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  ### Framework versions
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  - Transformers 4.38.2
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  - TensorFlow 2.15.0
 
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  - Tokenizers 0.15.2
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