Model save

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.834983498349835
+      value: 0.838943894389439
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the food101 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6656
-- Accuracy: 0.8350
+- Loss: 0.6541
+- Accuracy: 0.8389
 
 ## Model description
 
@@ -66,9 +66,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.0954        | 1.0   | 266  | 0.9451          | 0.7898   |
-| 0.8207        | 2.0   | 533  | 0.7111          | 0.8281   |
-| 0.771         | 2.99  | 798  | 0.6656          | 0.8350   |
+| 1.0843        | 1.0   | 266  | 0.9241          | 0.7967   |
+| 0.8596        | 2.0   | 533  | 0.7022          | 0.8322   |
+| 0.6834        | 2.99  | 798  | 0.6541          | 0.8389   |
 
 
 ### Framework versions

model.safetensors

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 size 343528508

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