Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7149341806627326
+      value: 0.4977718360071301
 ---
 
 <!-- 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 [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1312
-- Accuracy: 0.7149
+- Loss: 5.3696
+- Accuracy: 0.4978
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1091        | 1.0   | 160  | 1.1345          | 0.6341   |
-| 0.0426        | 2.0   | 321  | 1.3777          | 0.6627   |
-| 0.0151        | 2.99  | 480  | 1.1312          | 0.7149   |
+| 0.0957        | 1.0   | 327  | 3.2223          | 0.4926   |
+| 0.1091        | 2.0   | 654  | 4.6714          | 0.4802   |
+| 0.0173        | 3.0   | 981  | 5.3696          | 0.4978   |
 
 
 ### Framework versions