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End of training

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  1. README.md +7 -7
  2. model.safetensors +1 -1
README.md CHANGED
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  ---
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  library_name: transformers
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  license: apache-2.0
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- base_model: google/vit-base-patch16-224-in21k
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # my_awesome_food_model
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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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- - Loss: 1.6179
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- - Accuracy: 0.893
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  ## Model description
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@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 2.7196 | 0.992 | 62 | 2.5023 | 0.832 |
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- | 1.8192 | 2.0 | 125 | 1.7635 | 0.888 |
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- | 1.5884 | 2.976 | 186 | 1.6179 | 0.893 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
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  license: apache-2.0
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+ base_model: facebook/dinov2-base-imagenet1k-1-layer
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # my_awesome_food_model
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+ This model is a fine-tuned version of [facebook/dinov2-base-imagenet1k-1-layer](https://huggingface.co/facebook/dinov2-base-imagenet1k-1-layer) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1930
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+ - Accuracy: 0.943
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.3989 | 0.992 | 62 | 0.3865 | 0.867 |
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+ | 0.2722 | 2.0 | 125 | 0.2720 | 0.916 |
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+ | 0.126 | 2.976 | 186 | 0.1930 | 0.943 |
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  ### Framework versions
model.safetensors CHANGED
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