docs

README.md

@@ -6,33 +6,24 @@ tags:
 metrics:
 - accuracy
 model-index:
-- name: my_awesome_food_model
+- name: google-vit-base-patch16-224-in21k-finetuned-food-classification-86M-v0.1
   results: []
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
 # food-classification-86M-v0.1
 
-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.
+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.
 It achieves the following results on the evaluation set:
 - Loss: 1.6079
 - Accuracy: 0.892
 
 ## Model description
 
-More information needed
+Food image classification.
 
 ## Intended uses & limitations
 
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
+This was trained for fun and my own learning. But if you want to use it, go ahead.
 
 ### Training hyperparameters