update model card README.md

README.md

@@ -4,9 +4,24 @@ tags:
 - generated_from_trainer
 datasets:
 - food101
+metrics:
+- accuracy
 model-index:
 - name: my_awesome_food_model
-  results: []
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: food101
+      type: food101
+      config: default
+      split: train[:5000]
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.884
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,6 +30,9 @@ 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.
+It achieves the following results on the evaluation set:
+- Loss: 1.6462
+- Accuracy: 0.884
 
 ## Model description
 
@@ -44,6 +62,15 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 3
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.6957        | 0.99  | 62   | 2.5513          | 0.828    |
+| 1.8745        | 1.99  | 124  | 1.8179          | 0.878    |
+| 1.6181        | 2.99  | 186  | 1.6462          | 0.884    |
+
+
 ### Framework versions
 
 - Transformers 4.26.0