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Image Classification

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athiraet97 commited on Jan 2

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@@ -16,7 +16,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: sample Food Data Set
       type: imagefolder
       config: default
       split: train
@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
 # run_name
-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 sample Food Data Set dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.8473
 - Accuracy: 0.2

       name: Image Classification
       type: image-classification
     dataset:
+      name: indian_food_images
       type: imagefolder
       config: default
       split: train
 # run_name
+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.
 It achieves the following results on the evaluation set:
 - Loss: 1.8473
 - Accuracy: 0.2