End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.878
+      value: 0.828
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +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: 1.6244
-- Accuracy: 0.878
+- Loss: 2.9131
+- Accuracy: 0.828
 
 ## Model description
 
@@ -61,15 +61,13 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 3
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.6977        | 0.99  | 62   | 2.5340          | 0.824    |
-| 1.8317        | 2.0   | 125  | 1.7796          | 0.866    |
-| 1.5992        | 2.98  | 186  | 1.6244          | 0.878    |
+| 2.9575        | 0.99  | 62   | 2.9131          | 0.828    |
 
 
 ### Framework versions