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🍻 cheers

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README.md CHANGED
@@ -3,6 +3,7 @@ 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:
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  - accuracy
@@ -16,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # finetuned-fake-food
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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: 0.4941
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- - Accuracy: 0.8387
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  ## Model description
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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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+ - image-classification
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  - generated_from_trainer
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  metrics:
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  - accuracy
 
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  # finetuned-fake-food
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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 indian_food_images dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4855
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+ - Accuracy: 0.8548
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  ## Model description
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all_results.json CHANGED
@@ -1,13 +1,13 @@
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  {
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- "total_flos": 2.3588561638681805e+18,
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- "train_samples_per_second": 8.943,
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- "train_steps_per_second": 2.236
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  }
 
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  {
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  }
eval_results.json CHANGED
@@ -1,8 +1,8 @@
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  {
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- "epoch": 10.0,
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- "eval_accuracy": 0.8828996282527881,
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- "eval_steps_per_second": 1.858
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  }
 
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  {
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  }
runs/Oct02_17-11-29_593ca4d065ee/events.out.tfevents.1727890083.593ca4d065ee.197.1 ADDED
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train_results.json CHANGED
@@ -1,8 +1,8 @@
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  {
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- "epoch": 10.0,
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  {
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