update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8181818181818182
+      value: 0.9230769230769231
 ---
 
 <!-- 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](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7675
-- Accuracy: 0.8182
+- Loss: 0.3032
+- Accuracy: 0.9231
 
 ## Model description
 
@@ -58,17 +58,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 20
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.004         | 3.57  | 50   | 1.0744          | 0.7576   |
-| 0.0005        | 7.14  | 100  | 0.8182          | 0.7879   |
-| 0.0004        | 10.71 | 150  | 0.7808          | 0.7879   |
-| 0.0003        | 14.29 | 200  | 0.7710          | 0.8182   |
-| 0.0003        | 17.86 | 250  | 0.7675          | 0.8182   |
+| 0.0254        | 2.94  | 50   | 0.4310          | 0.8974   |
+| 0.001         | 5.88  | 100  | 0.3017          | 0.9231   |
+| 0.0007        | 8.82  | 150  | 0.3032          | 0.9231   |
 
 
 ### Framework versions