Model save

README.md

@@ -2,10 +2,7 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: food-recognition
   results: []
@@ -16,10 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # food-recognition
 
-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 food-recognition dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.2503
-- Accuracy: 1.0
+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.
 
 ## Model description
 

model.safetensors

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runs/Dec06_21-00-47_LAPTOP-PH299HA6/events.out.tfevents.1701871273.LAPTOP-PH299HA6.13464.0

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training_args.bin

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