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arieg
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my_awesome_food_model

Image Classification
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vit
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End of training

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Files changed (7) hide show
  1. README.md +6 -6
  2. model.safetensors +1 -1
  3. runs/Dec06_21-12-32_926b81d367df/events.out.tfevents.1701897153.926b81d367df.556.1 +3 -0
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  7. training_args.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.845
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should 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 the food101 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.4052
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- - Accuracy: 0.845
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  ## Model description
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@@ -67,9 +67,9 @@ 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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- | 4.3315 | 0.96 | 12 | 3.4645 | 0.815 |
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- | 3.2688 | 2.0 | 25 | 2.5844 | 0.785 |
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- | 2.6586 | 2.88 | 36 | 2.4052 | 0.845 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.99
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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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 the food101 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7792
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+ - Accuracy: 0.99
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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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+ | 0.918 | 0.96 | 12 | 0.8973 | 0.97 |
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+ | 0.8361 | 2.0 | 25 | 0.7851 | 0.995 |
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+ | 0.7704 | 2.88 | 36 | 0.7792 | 0.99 |
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  ### Framework versions
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