update model card README.md

README.md

@@ -16,11 +16,13 @@ model-index:
     dataset:
       name: food101
       type: food101
+      config: default
+      split: train
       args: default
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8558811881188119
+      value: 0.8539405940594059
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.5434
-- Accuracy: 0.8559
+- Loss: 0.5493
+- Accuracy: 0.8539
 
 ## Model description
 
@@ -63,15 +65,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 1.6283        | 1.0   | 4735  | 0.9875          | 0.7409   |
-| 0.9874        | 2.0   | 9470  | 0.7967          | 0.7894   |
-| 0.7102        | 3.0   | 14205 | 0.6455          | 0.8255   |
-| 0.4917        | 4.0   | 18940 | 0.5502          | 0.8524   |
+| 1.657         | 1.0   | 4735  | 0.9732          | 0.7459   |
+| 0.9869        | 2.0   | 9470  | 0.7987          | 0.7884   |
+| 0.71          | 3.0   | 14205 | 0.6364          | 0.8311   |
+| 0.4961        | 4.0   | 18940 | 0.5595          | 0.8487   |
 
 
 ### Framework versions
 
-- Transformers 4.19.2
-- Pytorch 1.11.0+cu113
-- Datasets 2.2.1
+- Transformers 4.21.1
+- Pytorch 1.12.0+cu113
+- Datasets 2.4.0
 - Tokenizers 0.12.1