update model card README.md

README.md

@@ -3,7 +3,7 @@ license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
-- food101
+- imagefolder
 metrics:
 - accuracy
 model-index:
@@ -13,15 +13,15 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: food101
-      type: food101
+      name: imagefolder
+      type: imagefolder
       config: default
-      split: train[:5000]
+      split: train[:500]
       args: default
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.889
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # my_awesome_food_model
 
-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.
+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 imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5947
-- Accuracy: 0.889
+- Loss: 1.4487
+- Accuracy: 1.0
 
 ## Model description
 
@@ -66,9 +66,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.6953        | 0.99  | 62   | 2.5182          | 0.816    |
-| 1.8633        | 2.0   | 125  | 1.7696          | 0.866    |
-| 1.6044        | 2.98  | 186  | 1.5947          | 0.889    |
+| No log        | 0.96  | 6    | 2.0041          | 0.89     |
+| 2.1814        | 1.92  | 12   | 1.5684          | 0.98     |
+| 2.1814        | 2.88  | 18   | 1.4487          | 1.0      |
 
 
 ### Framework versions