update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.615546218487395
+      value: 0.683083511777302
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/vit-mae-large](https://huggingface.co/facebook/vit-mae-large) on the image_folder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7367
-- Accuracy: 0.6155
+- Loss: 0.6622
+- Accuracy: 0.6831
 
 ## Model description
 
@@ -63,13 +63,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6849        | 0.55  | 100  | 0.6624          | 0.5798   |
-| 0.5718        | 1.09  | 200  | 0.6516          | 0.6008   |
-| 0.6127        | 1.64  | 300  | 0.6296          | 0.6261   |
-| 0.5312        | 2.19  | 400  | 0.6379          | 0.6071   |
-| 0.5013        | 2.73  | 500  | 0.6573          | 0.6176   |
-| 0.4077        | 3.28  | 600  | 0.7224          | 0.6282   |
-| 0.3401        | 3.83  | 700  | 0.7367          | 0.6155   |
+| 0.6984        | 0.52  | 100  | 0.6662          | 0.5974   |
+| 0.6214        | 1.04  | 200  | 0.6404          | 0.6081   |
+| 0.6203        | 1.56  | 300  | 0.6205          | 0.6638   |
+| 0.5689        | 2.08  | 400  | 0.6171          | 0.6745   |
+| 0.5278        | 2.6   | 500  | 0.6377          | 0.6788   |
+| 0.4602        | 3.12  | 600  | 0.6414          | 0.6895   |
+| 0.373         | 3.65  | 700  | 0.6622          | 0.6831   |
 
 
 ### Framework versions