Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9594602592176126
+      value: 0.16632443531827515
 ---
 
 <!-- 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 image_folder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1156
-- Accuracy: 0.9595
+- Loss: 4.1858
+- Accuracy: 0.1663
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2361        | 1.0   | 297  | 0.1401          | 0.9522   |
-| 0.2012        | 2.0   | 594  | 0.1235          | 0.9573   |
-| 0.2045        | 3.0   | 891  | 0.1156          | 0.9595   |
+| 4.9292        | 0.99  | 17   | 4.6892          | 0.0380   |
+| 4.5033        | 1.97  | 34   | 4.3391          | 0.1191   |
+| 4.1992        | 2.96  | 51   | 4.1858          | 0.1663   |
 
 
 ### Framework versions